pax_global_header00006660000000000000000000000064151053364700014516gustar00rootroot0000000000000052 comment=caecdf26509b683e52f11f0ef9e27cde5cfbf519 astropy-pyvo-b70558c/000077500000000000000000000000001510533647000145515ustar00rootroot00000000000000astropy-pyvo-b70558c/.github/000077500000000000000000000000001510533647000161115ustar00rootroot00000000000000astropy-pyvo-b70558c/.github/dependabot.yml000066400000000000000000000011001510533647000207310ustar00rootroot00000000000000# To get started with Dependabot version updates, you'll need to specify which # package ecosystems to update and where the package manifests are located. # Please see the documentation for all configuration options: # https://docs.github.com/github/administering-a-repository/configuration-options-for-dependency-updates version: 2 updates: - package-ecosystem: "github-actions" directory: "/" schedule: interval: "monthly" groups: actions: patterns: - "*" labels: - "no-changelog-entry-needed" - "infrastructure" astropy-pyvo-b70558c/.github/release.yml000066400000000000000000000001141510533647000202500ustar00rootroot00000000000000changelog: exclude: authors: - dependabot - pre-commit-ci astropy-pyvo-b70558c/.github/workflows/000077500000000000000000000000001510533647000201465ustar00rootroot00000000000000astropy-pyvo-b70558c/.github/workflows/changelog.yml000066400000000000000000000010571510533647000226230ustar00rootroot00000000000000name: Changelog check on: pull_request: types: [labeled, unlabeled, opened, synchronize, reopened] concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: changelog: name: Check changelog entry runs-on: ubuntu-latest steps: - name: Check change log entry uses: scientific-python/action-check-changelogfile@1fc669db9618167166d5a16c10282044f51805c0 # 0.3 env: CHANGELOG_FILENAME: CHANGES.rst GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} CHECK_MILESTONE: false astropy-pyvo-b70558c/.github/workflows/ci_devtests.yml000066400000000000000000000027761510533647000232210ustar00rootroot00000000000000# This test job is separated out into its own workflow to be able to trigger separately name: CI-devtest on: push: branches: - main - 'v*' tags: - '*' pull_request: schedule: - cron: "0 3 * * 6" workflow_dispatch: concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: devdeps: runs-on: ubuntu-latest name: linux (3.13 py313-test-devdeps-alldeps-cov) steps: - uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0 - name: Set up Python 3.13 uses: actions/setup-python@e797f83bcb11b83ae66e0230d6156d7c80228e7c # v6.0.0 with: python-version: "3.13" - name: Install tox run: python -m pip install --upgrade tox - name: Run tests against dev dependencies run: tox -e py313-test-devdeps-alldeps-cov - name: Upload coverage to codecov uses: codecov/codecov-action@5a1091511ad55cbe89839c7260b706298ca349f7 # v5.5.1 with: file: ./coverage.xml verbose: true py314: runs-on: ubuntu-latest name: linux (3.14 py314-test) steps: - uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0 - name: Set up Python 3.14 uses: actions/setup-python@e797f83bcb11b83ae66e0230d6156d7c80228e7c # v6.0.0 with: python-version: "3.14-dev" - name: Install tox run: python -m pip install --upgrade tox - name: Run tests run: tox -e py314-test astropy-pyvo-b70558c/.github/workflows/ci_tests.yml000066400000000000000000000055211510533647000225110ustar00rootroot00000000000000# Developer version testing is in separate workflow name: CI on: push: branches: - main - 'v*' tags: - '*' pull_request: schedule: - cron: "0 3 * * 6" workflow_dispatch: concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: tests: runs-on: ubuntu-latest name: linux strategy: fail-fast: false matrix: include: - python-version: '3.9' tox_env: py39-test-oldestdeps-alldeps - python-version: '3.10' tox_env: py310-test - python-version: '3.11' tox_env: py311-test-alldeps - python-version: '3.13' tox_env: py313-test-alldeps steps: - name: Checkout code uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0 with: fetch-depth: 0 - name: Set up Python uses: actions/setup-python@e797f83bcb11b83ae66e0230d6156d7c80228e7c # v6.0.0 with: python-version: ${{ matrix.python-version }} - name: Install tox run: python -m pip install --upgrade tox - name: Install library dependencies and run Tests run: tox -e ${{ matrix.tox_env }} mac_windows: runs-on: ${{ matrix.os }} name: ${{ matrix.os }} (3.12 py312-test-alldeps) strategy: fail-fast: false matrix: os: [macos-latest, windows-latest] steps: - name: Checkout code uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0 with: fetch-depth: 0 - name: Set up Python uses: actions/setup-python@e797f83bcb11b83ae66e0230d6156d7c80228e7c # v6.0.0 with: python-version: '3.12' - name: Install tox run: python -m pip install --upgrade tox - name: Python 3.12 with latest dependencies run: tox -e py312-test-alldeps stylecheck: runs-on: ubuntu-latest strategy: fail-fast: false steps: - uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0 - name: Set up Python 3.12 uses: actions/setup-python@e797f83bcb11b83ae66e0230d6156d7c80228e7c # v6.0.0 with: python-version: '3.12' - name: Install tox run: python -m pip install --upgrade tox - name: Check codestyle run: tox -e codestyle linkcheck: if: github.event_name == 'schedule' && github.repository == 'astropy/pyvo' runs-on: ubuntu-latest strategy: fail-fast: false steps: - uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0 - name: Set up Python 3.10 uses: actions/setup-python@e797f83bcb11b83ae66e0230d6156d7c80228e7c # v6.0.0 with: python-version: '3.10' - name: Install tox run: python -m pip install --upgrade tox - name: Check docs links run: tox -e linkcheck astropy-pyvo-b70558c/.gitignore000066400000000000000000000013751510533647000165470ustar00rootroot00000000000000# Compiled files *.py[cod] *.a *.o *.so __pycache__ # Ignore .c files by default to avoid including generated code. If you want to # add a non-generated .c extension, use `git add -f filename.c`. *.c # Other generated files */version.py */cython_version.py htmlcov .coverage MANIFEST .ipynb_checkpoints .hypothesis *api_sample* # Sphinx docs/api docs/_build # Eclipse editor project files .project .pydevproject .settings # Pycharm editor project files .idea # Packages/installer info *.egg *.eggs *.egg-info dist build eggs parts bin var sdist develop-eggs .installed.cfg distribute-*.tar.gz pip-wheel-metadata # Other .cache .tox .*.sw[op] *~ .project .pydevproject .settings coverage.xml # Mac OSX .DS_Store # ipython .ipynb_checkpoints /.pytest_cache/ astropy-pyvo-b70558c/.mailmap000066400000000000000000000024461510533647000162000ustar00rootroot00000000000000Adam Ginsburg Adrian Damian Adrian Damian Brigitta Sipőcz Brigitta Sipőcz Christine Banek Chuanming Mao Chuanming Mao <113032306+ChuanmingMao@users.noreply.github.com> Dustin Jenkins Hugo van Kemenade Hugo van Kemenade <1324225+hugovk@users.noreply.github.com> Manon Marchand Markus Demleitner Markus Demleitner Laurent Michel Pey Lian Lim <2090236+pllim@users.noreply.github.com> Ray Plante Ray Plante Stefan Becker Tess Jaffe Theresa Dower Tim Jenness Tom Donaldson astropy-pyvo-b70558c/.readthedocs.yml000066400000000000000000000007521510533647000176430ustar00rootroot00000000000000version: 2 build: image: latest sphinx: builder: html configuration: docs/conf.py fail_on_warning: true # Install regular dependencies. # Then, install special pinning for RTD. build: os: ubuntu-22.04 tools: python: "3.12" apt_packages: - graphviz jobs: post_checkout: - git fetch --unshallow || true python: install: - method: pip path: . extra_requirements: - docs - all # Don't build any extra formats formats: [] astropy-pyvo-b70558c/CHANGES.rst000066400000000000000000000355201510533647000163600ustar00rootroot000000000000001.8 (2025-11-13) ================ Enhancements and Fixes ---------------------- - No longer show a warning when an overflow status is encountered with a maxrec set by the user [#690] - Add support for the jobInfo element for UWS jobs [#679] - Fix DALOverflowWarning error message to only indicate the cause as limits from user or server. [#689] - Add retry option to AsyncTAPJob.fetch_result for transient failures [#696] - Improve the ``MivotViewer`` API: adding support of multiple mapped objects per row and a partial redesign of the public API. Also, improved the gateway between annotations and ``SkyCoord`` objects. [#698] - Adding "hats" and "hips" servicetype shorthands for registry searches for HATS and HIPS resources. [#706] Deprecations and Removals ------------------------- - Upgrade of the ``MivotViewer`` API including the removal of the ``xml_viewer`` module. [#698] 1.7.1 (2025-10-16) ================== Bug Fixes --------- - Fix job result handling to prioritize standard URL structure [#684] - Improving error messaging for invalid SIAv2 inputs. [#693] 1.7 (2025-06-01) ================ Enhancements and Fixes ---------------------- - Extend the MIVOT module with the ability to build annotations component by component and put them into a VOTable. [#627] - Add an API helping to map VOtable data in the Mango data model by using MIVOT [#664] - Make deletion of TAP jobs optional via a new ``delete`` kwarg. [#640] - Correctly delete jobs in ``TAPService.run_async`` even when the server returns an error. [#667] - Change AsyncTAPJob.result to return None if no result is found explicitly. [#644] - Add a UAT constraint to the registry interface for constraining subjects [#649] - Fixed AttributeError when a capability has None standardID in SIA2Service. [#669] Deprecations and Removals ------------------------- - Versions of Python <3.9 are no longer supported. [#639] 1.6.2 (2025-04-07) ================== Bug Fixes --------- - Fix performance issues with datalink results. [#654] - More careful NULL value handling in tapregext data limits. [#659] 1.6.1 (2025-02-12) ================== Bug Fixes --------- - Fix propagating some previously swallowed exceptions. [#614] - Fix string literal generation for SQL query when using numpy >=2.0. [#624] - Switch to do minimal VOSI tables downloads for TAP metadata. [#634] - Provide more informative exception message when requests to endpoints fail. [#641] 1.6 (2024-11-01) ================ Enhancements and Fixes ---------------------- - Add method ``list_interfaces`` to ``pyvo.registry.regtap.RegistryResource`` that returns the list of available interfaces linked to services. Add ``keyword`` parameter in ``get_service`` which should match ``capability_description``. [#505, #525] - Add list of access points to services in ``pyvo.registry.regtap.RegistryResource.describe`` when there is more than one service available [#525] - Add optional ``capability_description`` parameter and a ``__repr__`` to ``pyvo.dal.query.DALService`` abstract base class [#505] - Make ``lax`` parameter default to False in registry get_service method [#505] - Making optional parameters keyword only throughout the public API. [#507] - registry.Ivoid now accepts multiple ivoids and will then match any of them. [#517] - Introducing the new MIVOT module, enabling processed VOTable data mapped to any model serialized in VO-DML. This package dynamically generates python objects whose structure corresponds to the classes of the mapped models. [#497] - MIVOT module: the model references in the dictionaries that are used to build ``MivotInstance`` objects are made more consistent [#551] - RegTAP constraints involving tables other than rr.resource are now done via subqueries for less duplication of interfaces. [#562, #572] - MIVOT module: If the MIVOT annotation block contains a valid instance of the ``mango:EpochPosition`` class, the dynamic object describing the mapped data can generate a valid SkyCoord instance. [#591] - New sub-package discover for global dataset discovery. [#470] - Updated getdatalink to be consistent with iter_datalinks. [#613] Deprecations and Removals ------------------------- - SodaRecordMixin no longer will use a datalink#links endpoint for soda [#580] - Deprecating the use of "image" and "spectrum" in registry Servicetype constraints [#449] 1.5.3 (2024-10-14) ================== Bug Fixes --------- - ``cachedataset()`` and friends again produce reasonable file extensions. [#553] - Path separators are no longer taken over from image titles to file system paths. [#557] - Added `'sia1'` as servicetype for registry searches. [#583] - Adding ``session`` kwarg to allow to pass a session along when turning an Interface into a service via ``Interface.to_service``. [#590] - Include port number if it is present in endpoint access URL. [#582] - Where datalink records are made from table rows, the table row is now accessible as datalinks.original_row. [#559] - Tables returned by RegistryResource.get_tables() now have a utype attribute. [#576] - Registry Spatial constraint now supports Astropy Quantities for the radius argument. [#594] - ``iter_metadata()`` no longer crashes on tables with a datalink RESOURCE and without obscore attributes. [#599] - Avoid assuming that ``'access_url'`` always exits. [#570] Deprecations and Removals ------------------------- - Removed usage of the astropy TestRunner, therefore the unadvertised ``pyvo.test()`` functionality. [#606] 1.5.2 (2024-05-22) ================== Bug Fixes --------- - Avoid Astropy Time error for SIAResult.dateobs when VOX:Image_MJDateObs or ssa:DataID.Date is nan. [#550] - More robust handling of SIA1 FORMAT [#545] 1.5.1 (2024-02-21) ================== Bug Fixes --------- - Fix ``pyvo.registry.Author`` to allow registry searches with author constraints. [#515] - Backing out of having alt_identifier in RegistryResource throughout. Use get_alt_identifier() instead [#523] - Fix ``maxrec=0`` special case for SIA2 queries. [#520] 1.5 (2023-12-19) ================ Enhancements and Fixes ---------------------- - ``registry.search`` now allows programmatic selection of the registry TAP service endpoint with the ``choose_RegTAP_service`` function. [#386] - ``registry.search`` now introspects the TAP service's capabilities and only offers extended functionality or optimisations if the required features are present [#386] - Registry search now finds SIA v2 services. [#422, #428] - Made SIA2Service accept access urls without finding them in the service capabilities. [#500] - Fix session inheritance in SIA2. [#490] - Add intersect modes for the spatial constraint in the registry module ``pyvo.registry.Spatial``. [#495] - Added ``alt_identifier``, ``created``, ``updated`` and ``rights`` to the attributes of ``pyvo.registry.regtap.RegistryResource`` [#492] - Added the ``source_value`` and ``alt_identifier`` information to the verbose output of ``describe()`` in ``regtap``. [#492] - Added convenience method DALResults.to_qtable() that returns an astropy.table.QTable object. [#384] - TAP examples now support the continuation property. [#483] - Fix poor polling behavior when running an async query against a TAP v1.1 service with unsupported WAIT parameter. [#440] - Adding python version to User-Agent. [#452] - Output of ``repr`` for DALResults instance now clearly shows it is a DALResultsTable and not a generic astropy Table. [#478] - Adding support for the VODataService 1.2 nrows attribute on table elements. [#503] Deprecations and Removals ------------------------- - Classes ``SIAService``, ``SIAQuery``, ``SIAResults`` for SIA v2 have been renamed to ``SIA2Service``, ``SIA2Query``, ``SIA2Results`` respectively as well as the variable ``SIA_PARAMETERS_DESC`` to ``SIA2_PARAMETERS_DESC``. The old names now issue an ``AstropyDeprecationWarning``. [#419] - Class ``pyvo.vosi.vodataservice.Table`` has been renamed to ``VODataServiceTable`` to avoid sharing the name with a more generic ``astropy.table.Table`` while having different API. [#484] - Deprecate VOSI ``AvailabilityMixin``, this mean the deprecation of the inherited ``availability``, ``available``, and ``up_since`` properties of DAL service classes, too. [#413] - Deprecating ``ivoid2service`` because it is ill-defined. [#439] 1.4.2 (2023-08-16) ================== - Fixed TapResults to inherit session. [#447] - Fix handling of nan values for Time properties in SIA2 records. [#463] - Fix SIA2 search to accept SkyCoord position inputs. [#459] - Favouring ``VOX:Image_AccessReference`` for data url for SIA1 queries. [#445] 1.4.1 (2023-03-07) ================== - ``pyvo.registry.search`` now accepts an optional ``maxrec`` argument rather than automatically passing the service's hard limit. [#375] - Fixed the RegTAP fragment for the discovery of EPN-TAP tables. [#395] - Removed defaults for optional SIAv1 and SSA query parameters to avoid unnecessarily overriding the server-side defaults. [#367] - Error messages from uws jobs are now in job.errorsummary.message rather than job.message (where one wouldn't expect them given the UWS schema). [#432] - Avoid raising ``AttributeError`` for None responses. [#392] 1.4 (2022-09-26) ================ - Added the TAP Table Manipulation prototype (cadc-tb-upload). [#274] - More explicit exception messages where the payload is sometimes considered if it can be presented properly (simple body text or job error message). [#355] - we now ignore namespaces in xsi-type attributes; this is a lame fix for services like ESO's and MAST's TAP, which do not use canonical prefixes while astropy.utils.xml ignores namespaces. [#323] - Overhaul of the registry.regsearch as discussed in https://blog.g-vo.org/towards-data-discovery-in-pyvo.html. This should be backwards-compatible. [#289] - Versions of astropy <4.1 are no longer supported. [#289] - pyvo.dal warns on results with overflow status. [#329] - Allow session to be passed through in SSA, SCR, and DataLink. [#327] - pyvo.dal.tap.AsyncTAPJob treats parameter names as case-insensitive when retrieving the query from the job record. [#357] - Adding support for prototype features via the ``prototype_feature`` decorator . [#309] - No longer formatting microseconds into SSA time literals. [#351] - Adding operating system to User-Agent. [#344] 1.3 (2022-02-19) ================== - pyvo deals with non-core terms in datalink.bysemantics again. [#299] - Versions of Python <3.8 are no longer supported. [#290] 1.2.1 (2022-01-12) ================== - Get wraps decorator from functools instead of astropy. [#283] 1.2 (2021-12-17) ================ - Make .bysemantics expand its terms to the entire branch by default [#241] - Added optional includeaux flag for regTAP search() [#258] - Added VOResource 1.1 mirrorurl and testquerystring to vosi.Interface [#269] - Versions of Python <3.7 are no longer supported. [#255] 1.1 (2020-06-26) ================ - Added TAP examples function. [#220] - Add default for UWS version. [#199] - Handle description of None when describing a TAP service's tables. [#197] - Properly handle single string keywords value for regsearch(). [#201] - Add support for SIA2. [#206] - Add kwargs to sia2. [#222] - Fix handling relative result URLs. [#192] 1.0 (2019-09-20) ================ - Fix pedantic table parsing not throwing exception. [#140] - Drop support for legacy Python 2.7. [#153] - Sphinx 1.7 or higher is needed to build the documentation. [#160] - Add support for authenticated requests. [#157] - Add a get_job_list method to the TAPService class. [#169] - Replace example's usage of pyvo.object2pos() with SkyCoord.from_name() [#171] - Stop installing files from scripts to /usr/local/bin. Move them to examples/images instead. [#166] - Update ex_casA_image_cat example. [#172] - Fix waveband option in registry.regsearch [#175] - Fix to regtap.ivoid2service(), few decode()'s, para_format_desc was moved to utils. [#177] - Fix default result id for fetch_results of async TAP. [#148] 0.9.3 (2019-05-30) ================== - Fix parsing of SecurityMethod in capabilities. [#114] - Keep up to date with upstream astropy changes. - Move into astropy GitHub organization and README updates. [#133] - Replace mimetype functions with library-based ones. 0.9.2 (2018-10-05) ================== - Fix typo fornat -> format. [#106] 0.9.1 (2018-10-02) ================== - Don't use OR's in RegTAP queries. - Add a timeout to job wait. 0.9 (2018-09-18) ================ - Add a describe method to services to print a human-readable description. - Use a customized user agent in http requests. - Fix some python2/3 issues. - Add general datalink processing method. [#103] 0.8.1 (2018-06-27) ================== - Pass use_names_over_ids=True to astropy's to_table. 0.8 (2018-06-07) ================ - Make XML handling more generic. 0.7rc1 (2018-02-18) =================== - Rework VOSI parsing using astropy xml handling. [#88] - Describe service object bases on vosi capabilities. - Add SODA functionallity. - Fixes and Improvements. 0.6.1 (2017-06-29) ================== - Add Datalink interface. - Put some common functionallity in Mixins. - Minor fixes and improvements. 0.6 (2017-04-17) ================ - Using RegTAP as the only registry interface. - Added a datamodel keyword to registry search. - Using the six libray to address Python 2/3 compatibility issues. - AsyncTAPJob is now context aware. - Improvement upload handling; it is no longer necessary to specifiy the type of upload. - Allow astropy's SkyCoord and Quantity as input parameters. 0.5.2 (2017-02-09) ================== - Remove trailing ? from query urls. [#78] - VOTable fieldnames are now gathered from names only instead of ID and name. 0.5.1 (2017-02-02) ================== - Fix content decoding related error in async result handling. 0.5 (2017-01-13) ================ - Added a RegTAP interface. [#73] - Removed urllib in favor of the requests library. [#74] - Deprecated vao registry interface. - Minor improvements and fixes. 0.4.1 (2016-12-02) ================== - Fix a bug where maxrec wasn't send to the server. 0.4 (2016-12-02) ================ - Use astropy tables for table metadata. [#71] - Fix another content encoding error. [#72] 0.3.2 (2016-12-02) ================== - Adding table property to DALResults. This is a shortcut to access the astropy table. - Improved Error Handling. - Adding ``upload_methods`` to TAPService. [#69] 0.3.1 (2016-12-02) ================== - Fix an error where the content wasn't decoded properly. [#67] - Fix a bug where POST parameters are submitted as GET parameters. 0.3 (2016-12-02) ================ - Adding TAP API. [#58, #66] 0.1 (2016-12-02) ================ - This is the last release that supports Python 2.6. [#62] - This release only contains bug fixes beyond 0.0beta2. astropy-pyvo-b70558c/CONTRIBUTORS.rst000066400000000000000000000016671510533647000172520ustar00rootroot00000000000000PyVO Contributors ----------------- PyVO is an open source project developed through GitHub at https://github.com/astropy/pyvo; community contributions are welcome. This project began in 2012 as a product of the US Virtual Astronomical Observatory, funded through a cooperative agreement with the US National Science Foundation. PyVO was developed with contributions from the following developers: Contributor's Name | Affiliations | GitHub identity ---------------------|----------------|------------------- Stefan Becker | Heidelberg Univ. | funbaker Thomas Boch | CDS | tboch Carlos Brandt | Universita di Roma La Sapienza | chbrandt Markus Demleitner | Heidelberg Univ. | msdemlei Christoph Deil | MPI for Nuclear Physics | cdeil Mike Fitzpatrick | NOAO | Matthew Graham | Caltech | doccosmos Gus Muench | Harvard/CfA, AAS | augustfly Ray Plante | NCSA/UIUC, NIST | RayPlante Brigitta Sipocz | Cambridge, UK | bsipocz Doug Tody | NRAO | astropy-pyvo-b70558c/LICENSE.rst000066400000000000000000000027741510533647000163770ustar00rootroot00000000000000BSD 3-Clause License Copyright (c) 2020, Astropy-pyvo Developers All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. astropy-pyvo-b70558c/MANIFEST.in000066400000000000000000000003771510533647000163160ustar00rootroot00000000000000include README.rst include CHANGES.rst include LICENSE.rst include setup.cfg include pyproject.toml recursive-include pyvo *py recursive-include docs * recursive-include licenses * prune build prune docs/_build prune docs/api global-exclude *.pyc *.o astropy-pyvo-b70558c/README.rst000066400000000000000000000070251510533647000162440ustar00rootroot00000000000000PyVO =================================== .. image:: http://img.shields.io/badge/powered%20by-AstroPy-orange.svg?style=flat :target: https://www.astropy.org :alt: Powered by Astropy Badge .. image:: https://github.com/astropy/pyvo/workflows/CI/badge.svg?branch=main :target: https://github.com/astropy/pyvo/workflows/CI/badge.svg?branch=main :alt: CI Status .. image:: https://codecov.io/gh/astropy/pyvo/branch/main/graph/badge.svg?token=Mynyo9xoPZ :target: https://codecov.io/gh/astropy/pyvo :alt: Coverage Status .. image:: https://zenodo.org/badge/10865450.svg :target: https://zenodo.org/badge/latestdoi/10865450 PyVO is a package providing access to remote data and services of the Virtual observatory (VO) using Python. Its development was launched by the NSF/NASA-funded Virtual Astronomical Observatory (VAO, www.usvao.org) project (formerly under the name VAOpy) as part of its initiative to bring VO capabilities to desktop. Its goal is to allow astronomers and tool developers to access data and services from remote archives and other web resources. It takes advantage of VO standards to give access to thousands of catalogs, data archives, information services, and analysis tools. It also takes advantage of the general capabilities of Astopy (and numpy), and so a secondary goal is to provide a development platform for migrating more VO capabilities into Astropy. Source code can be found `on GitHub `_ Installation and Requirements ----------------------------- Releases of PyVO are available from `PyPI `_ thus, it and its prerequisites can be most easily installed using ``pip``: pip install pyvo Releases are also conda packaged and available on the ``conda-forge`` channel. PyVO requires Python 3.8 or later. The following packages are required for PyVO: * `astropy `__ (>=4.1) * `requests `_ The following packages are optional dependencies and are required for the full functionality: * pillow * defusedxml For running the tests, and building the documentation, the following infrastructure packages are required: * `pytest-astropy `__ * requests-mock * `sphinx-astropy `__ To install from source use ``pip``: pip install .[all] Using the developer version of PyVO in testing ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ We recommend and encourage testing against the development version of PyVO in CI, both for dependent libraries and notebook providers. As PyVO is a pure Python library, this can be done as easily as pip installing the developer version from GitHub: pip install git+https://github.com/astropy/pyvo.git#egg=pyvo An example for setting up development version testing for a library as a GitHub Actions Workflow can be found in `astroquery `__. Examples -------- Many instructive examples can be found in the `PyVO Documentation `_. Additional examples can be found in the examples directory. Unit Tests ---------- PyVO uses the Astropy framework for unit tests which is built into the setup script. To run the tests, type: pip install .[test] pytest This will run all unit tests that do not require a network connection. To run all tests, including those that access the network, add the --remote-data option: pytest --remote-data astropy-pyvo-b70558c/RELEASE.rst000066400000000000000000000015211510533647000163620ustar00rootroot00000000000000Release Procedure for pyvo ========================== These steps are intended to help guide a developer into making a new release. For these instructions, version is to be replaced by the version number of the release. 1. Edit setup.cfg and remove .dev from the version number 2. Edit CHANGES.rst to change unreleased to the date of the release. 3. Commit and push 4. git tag -a version -m "releasing new version version" (this makes a release tag) 5. git push origin version 6. python setup.py sdist (this makes a .tar.gz of the package in dist) 7. twine upload sdist/* (this uploads the output of the previous step to pypi) 8. Edit setup.cfg and set the version to the next release number and add .dev after the version number. Add a new section at the top for the next release number 9. Commit and push. This begins the new release astropy-pyvo-b70558c/conftest.py000066400000000000000000000042671510533647000167610ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst # This file is the main file used when running tests with pytest directly, # in particular if running e.g. ``pytest docs/``. import os import tempfile import numpy as np from astropy.utils import minversion try: from pytest_astropy_header.display import PYTEST_HEADER_MODULES, TESTED_VERSIONS ASTROPY_HEADER = True except ImportError: ASTROPY_HEADER = False # Make sure we use temporary directories for the config and cache # so that the tests are insensitive to local configuration. os.environ['XDG_CONFIG_HOME'] = tempfile.mkdtemp('astropy_config') os.environ['XDG_CACHE_HOME'] = tempfile.mkdtemp('astropy_cache') os.mkdir(os.path.join(os.environ['XDG_CONFIG_HOME'], 'astropy')) os.mkdir(os.path.join(os.environ['XDG_CACHE_HOME'], 'astropy')) # Note that we don't need to change the environment variables back or remove # them after testing, because they are only changed for the duration of the # Python process, and this configuration only matters if running pytest # directly, not from e.g. an IPython session. try: from pyvo import __version__ as version except ImportError: version = 'unknown' # Disable IERS auto download for testing (to support the local, non-remote-data scenario), # revisit this config when minimum supported astropy is 5.1. from astropy.utils.iers import conf as iers_conf iers_conf.auto_download = False def pytest_configure(config): """Configure Pytest with Astropy. Parameters ---------- config : pytest configuration """ if ASTROPY_HEADER: config.option.astropy_header = True # Customize the following lines to add/remove entries from the list of # packages for which version numbers are displayed when running the tests. PYTEST_HEADER_MODULES['Astropy'] = 'astropy' # noqa PYTEST_HEADER_MODULES['requests'] = 'requests' # noqa PYTEST_HEADER_MODULES['defusedxml'] = 'defusedxml' PYTEST_HEADER_MODULES.pop('Pandas', None) PYTEST_HEADER_MODULES.pop('h5py', None) PYTEST_HEADER_MODULES.pop('Scipy', None) PYTEST_HEADER_MODULES.pop('Matplotlib', None) TESTED_VERSIONS['pyvo'] = version astropy-pyvo-b70558c/docs/000077500000000000000000000000001510533647000155015ustar00rootroot00000000000000astropy-pyvo-b70558c/docs/Makefile000066400000000000000000000111641510533647000171440ustar00rootroot00000000000000# Makefile for Sphinx documentation # # You can set these variables from the command line. 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If you want to modify this template, it is strongly recommended that you still inherit from the astropy template. #}astropy-pyvo-b70558c/docs/_templates/autosummary/class.rst000066400000000000000000000003731510533647000240660ustar00rootroot00000000000000{% extends "autosummary_core/class.rst" %} {# The template this is inherited from is in astropy/sphinx/ext/templates/autosummary_core. If you want to modify this template, it is strongly recommended that you still inherit from the astropy template. #}astropy-pyvo-b70558c/docs/_templates/autosummary/module.rst000066400000000000000000000003741510533647000242470ustar00rootroot00000000000000{% extends "autosummary_core/module.rst" %} {# The template this is inherited from is in astropy/sphinx/ext/templates/autosummary_core. If you want to modify this template, it is strongly recommended that you still inherit from the astropy template. #}astropy-pyvo-b70558c/docs/auth/000077500000000000000000000000001510533647000164425ustar00rootroot00000000000000astropy-pyvo-b70558c/docs/auth/index.rst000066400000000000000000000004141510533647000203020ustar00rootroot00000000000000.. _pyvo-auth: ****************** Auth (`pyvo.auth`) ****************** This module contains submodules which help handle auth when communicating with virtual observatory services. Reference/API ============= .. automodapi:: pyvo.auth :no-inheritance-diagram: astropy-pyvo-b70558c/docs/conf.py000066400000000000000000000151061510533647000170030ustar00rootroot00000000000000# -*- coding: utf-8 -*- # Licensed under a 3-clause BSD style license - see LICENSE.rst # # Astropy documentation build configuration file. # # This file is execfile()d with the current directory set to its containing dir. # # Note that not all possible configuration values are present in this file. # # All configuration values have a default. Some values are defined in # the global Astropy configuration which is loaded here before anything else. # See astropy.sphinx.conf for which values are set there. # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. # sys.path.insert(0, os.path.abspath('..')) # IMPORTANT: the above commented section was generated by sphinx-quickstart, but # is *NOT* appropriate for astropy or Astropy affiliated packages. It is left # commented out with this explanation to make it clear why this should not be # done. If the sys.path entry above is added, when the astropy.sphinx.conf # import occurs, it will import the *source* version of astropy instead of the # version installed (if invoked as "make html" or directly with sphinx), or the # version in the build directory (if "python setup.py build_sphinx" is used). # Thus, any C-extensions that are needed to build the documentation will *not* # be accessible, and the documentation will not build correctly. import datetime import os import sys sys.path.insert(0, os.path.abspath('..')) try: from sphinx_astropy.conf.v1 import * # noqa except ImportError: print('ERROR: the documentation requires the sphinx-astropy package to be installed') sys.exit(1) # Get configuration information from setup.cfg from configparser import ConfigParser conf = ConfigParser() conf.read([os.path.join(os.path.dirname(__file__), '..', 'setup.cfg')]) setup_cfg = dict(conf.items('metadata')) # -- General configuration ---------------------------------------------------- # If your documentation needs a minimal Sphinx version, state it here. needs_sphinx = '1.7' # To perform a Sphinx version check that needs to be more specific than # major.minor, call `check_sphinx_version("x.y.z")` here. # check_sphinx_version("1.2.1") # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. exclude_patterns.append('_templates') # Add any paths that contain templates here, relative to this directory. if 'templates_path' not in locals(): # in case parent conf.py defines it templates_path = [] templates_path.append('_templates') # This is added to the end of RST files - a good place to put substitutions to # be used globally. rst_epilog += """ """ # -- Project information ------------------------------------------------------ # This does not *have* to match the package name, but typically does project = setup_cfg['name'] author = setup_cfg['author'] copyright = '{}, {}'.format( datetime.datetime.now(tz=datetime.timezone.utc).year, setup_cfg['author']) # The version info for the project you're documenting, acts as replacement for # |version| and |release|, also used in various other places throughout the # built documents. __import__(project) package = sys.modules[project] # The short X.Y version. version = package.__version__.split('-', 1)[0] # The full version, including alpha/beta/rc tags. release = package.__version__ # -- Options for HTML output --------------------------------------------------- # A NOTE ON HTML THEMES # The global astropy configuration uses a custom theme, 'bootstrap-astropy', # which is installed along with astropy. A different theme can be used or # the options for this theme can be modified by overriding some of the # variables set in the global configuration. The variables set in the # global configuration are listed below, commented out. # Add any paths that contain custom themes here, relative to this directory. # To use a different custom theme, add the directory containing the theme. #html_theme_path = [] # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. To override the custom theme, set this to the # name of a builtin theme or the name of a custom theme in html_theme_path. #html_theme = None # Customized theme options html_theme_options = { 'logotext1': 'Py', # white, semi-bold 'logotext2': 'VO', # orange, light 'logotext3': '' # white, light } # Custom sidebar templates, maps document names to template names. #html_sidebars = {} # The name of an image file (within the static path) to use as favicon of the # docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. #html_favicon = '' # If not '', a 'Last updated on:' timestamp is inserted at every page bottom, # using the given strftime format. #html_last_updated_fmt = '' # The name for this set of Sphinx documents. If None, it defaults to # " v documentation". html_title = '{} v{}'.format(project, release) # Output file base name for HTML help builder. htmlhelp_basename = project + 'doc' # -- Options for LaTeX output -------------------------------------------------- # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, author, documentclass [howto/manual]). latex_documents = [('index', project + '.tex', project + ' Documentation', author, 'manual')] # -- Options for manual page output -------------------------------------------- # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [('index', project.lower(), project + ' Documentation', [author], 1)] # -- Options for the edit_on_github extension ---------------------------------------- if eval(setup_cfg.get('edit_on_github')): extensions += ['astropy.sphinx.ext.edit_on_github'] versionmod = __import__(project + '.version') edit_on_github_project = setup_cfg['github_project'] if versionmod.release: edit_on_github_branch = "v" + versionmod.version else: edit_on_github_branch = "main" edit_on_github_source_root = "" edit_on_github_doc_root = "docs" # -- Enable nitpicky mode - which ensures that all references in the docs resolve ---- nitpicky = True # See docs/nitpick-exceptions file for the actual listing. nitpick_ignore = [] for line in open("nitpick-exceptions"): if line.strip() == "" or line.startswith("#"): continue dtype, target = line.split(None, 1) nitpick_ignore.append((dtype, target.strip())) astropy-pyvo-b70558c/docs/dal/000077500000000000000000000000001510533647000162415ustar00rootroot00000000000000astropy-pyvo-b70558c/docs/dal/index.rst000066400000000000000000001030631510533647000201050ustar00rootroot00000000000000.. _pyvo-data-access: ************************ Data Access (`pyvo.dal`) ************************ This subpackage provides access to the various data services in the VO. Getting started =============== Service objects are created with the service url and provide service-specific metadata. .. doctest-remote-data:: >>> import pyvo as vo >>> service = vo.dal.SIAService("http://dc.g-vo.org/lswscans/res/positions/siap/siap.xml") >>> print(service.description) Scans of plates kept at Landessternwarte Heidelberg-Königstuhl. They were obtained at location, at the German-Spanish Astronomical Center (Calar Alto Observatory), Spain, and at La Silla, Chile. The plates cover a time span between 1880 and 1999. Specifically, HDAP is essentially complete for the plates taken with the Bruce telescope, the Walz reflector, and Wolf's Doppelastrograph at both the original location in Heidelberg and its later home on Königstuhl. They provide a ``search`` method with varying standard parameters for submitting queries. .. doctest-skip:: >>> resultset = service.search(pos=pos, size=size) which returns a :ref:`resultset `. Individual services may define additional, custom parameters. You can pass these to the ``search`` method as (case-insensitive) keyword arguments. Call the method ``describe`` to print human-readable service metadata. You most likely want to use this in a notebook session or similar before actually querying the service. See :ref:`pyvo-services` for a explanation of the different interfaces. .. _pyvo-astro-params: Astrometric parameters ---------------------- Most services expose the astrometric parameters ``pos`` and ``size`` for which PyVO accept `~astropy.coordinates.SkyCoord` or `~astropy.units.Quantity` objects as well as any other sequence containing right ascension and declination in degrees, which are converted to the standard coordinate frame (in the VO, that usually is ICRS) in the standard units (always degrees in the VO) before they are submitted to the service. Also, `~astropy.coordinates.SkyCoord` can be used to lookup names of astronomical objects you are searching for. .. doctest-remote-data:: >>> import pyvo as vo >>> from astropy.coordinates import SkyCoord >>> from astropy.units import Quantity >>> >>> pos = SkyCoord.from_name('NGC 4993') >>> size = Quantity(0.5, unit="deg") See :ref:`astropy-coordinates` and :ref:`astropy-units` for details. The `~astropy.units.Quantity` object is also suitable for any other astrometric parameter, such as waveband ranges. Some services also accept `~astropy.time.Time` as ``time`` parameter. .. doctest:: >>> from astropy.time import Time >>> time = Time(('2015-01-01T00:00:00', '2018-01-01T00:00:00'), ... format='isot', scale='utc') See :ref:`astropy-time` for explanation. .. _pyvo-verbosity: Verbosity --------- Several VO protocols have the notion of “verbosity”, where 1 means “minimal set of columns”, 2 means “columns most users can work with” and 3 ”everything including exotic items”. Query functions accept these values in the ``verbosity`` parameter. The exact semantics are service-specific. Capabilities ------------ VO services should offer some standard ”support” interfaces specified in VOSI. In pyVO, the information obtained from these endpoints can be obtained from some service attributes. Capabilities describe specific pieces of functionality (such as “this is a spectral search”) and further metadata (such as ”this service will never return more than 10000 rows”). This information is contained in the data structure :py:class:`~pyvo.io.vosi.endpoint.CapabilitiesFile` available through the ``pyvo.dal.vosi.CapabilityMixin.capabilities`` attribute. Exceptions ---------- See the ``pyvo.dal.exceptions`` module. .. _pyvo-services: Services ======== There are five types of services with different purposes but a mostly similar interface available. .. _pyvo_tap: Table Access Protocol --------------------- .. pull-quote:: This protocol defines a service protocol for accessing general table data, including astronomical catalogs as well as general database tables. Access is provided for both database and table metadata as well as for actual table data. This protocol supports the query language `Astronomical Data Query Language (ADQL) `_ within an integrated interface. It also includes support for both synchronous and asynchronous queries. Special support is provided for spatially indexed queries using the spatial extensions in ADQL. A multi-position query capability permits queries against an arbitrarily large list of astronomical targets, providing a simple spatial cross-matching capability. More sophisticated distributed cross-matching capabilities are possible by orchestrating a distributed query across multiple TAP services. -- `Table Access Protocol `_ Consider the following example for using TAP and ADQL, retrieving 5 objects from the GAIA DR3 database, showing their id, position and mean G-band magnitude between 19 - 20: .. doctest-remote-data:: >>> import pyvo as vo >>> tap_service = vo.dal.TAPService("http://dc.g-vo.org/tap") >>> ex_query = """ ... SELECT TOP 5 ... source_id, ra, dec, phot_g_mean_mag ... FROM gaia.dr3lite ... WHERE phot_g_mean_mag BETWEEN 19 AND 20 ... ORDER BY phot_g_mean_mag ... """ >>> result = tap_service.search(ex_query) >>> print(result) source_id ra dec phot_g_mean_mag deg deg mag int64 float64 float64 float32 ------------------- ------------------ ------------------ --------------- 2162809607452221440 315.96596187101636 45.945474015208106 19.0 2000273643933171456 337.1829026565382 50.7218533537033 19.0 2171530448339798784 323.9151025188806 51.27690705826792 19.0 2171810342771336704 323.25913736080776 51.94305655940998 19.0 2180349528028140800 310.5233961869657 50.3486391034819 19.0 While DALResultsTable has some convenience functions, is is often convenient to directly obtain a proper astropy Table using the ``to_table`` method: .. doctest-remote-data:: >>> result.to_table().columns[:3] To explore more query examples, you can try either the ``description`` attribute for some services. For other services like this one, try the ``examples`` attribute. .. doctest-remote-data:: >>> print(tap_service.examples[1]['QUERY']) SELECT TOP 50 l.id, l.pmra as lpmra, l.pmde as lpmde, g.source_id, g.pmra as gpmra, g.pmdec as gpmde FROM lspm.main as l JOIN gaia.dr3lite AS g ON (DISTANCE(g.ra, g.dec, l.raj2000, l.dej2000)<0.01) -- rough pre-selection WHERE DISTANCE( ivo_epoch_prop_pos( g.ra, g.dec, g.parallax, g.pmra, g.pmdec, g.radial_velocity, 2016, 2000), POINT(l.raj2000, l.dej2000) )<0.0002 -- fine selection with PMs TAPServices let you do extensive metadata inspection. For instance, to see the tables available on the Simbad TAP service, say: .. doctest-remote-data:: >>> simbad = vo.dal.TAPService("http://simbad.cds.unistra.fr/simbad/sim-tap") >>> print([tab_name for tab_name in simbad.tables.keys()]) # doctest: +IGNORE_WARNINGS ['TAP_SCHEMA.schemas', 'TAP_SCHEMA.tables', ... 'otypedef', 'otypes', 'ref'] If you know a TAP service's access URL, you can directly pass it to :py:class:`~pyvo.dal.TAPService` to obtain a service object. Sometimes, such URLs are published in papers or passed around through other channels. Most commonly, you will discover them in the VO registry (cf. :ref:`pyvo.registry`). To perform a query using ADQL, the ``search()`` method is used. TAPService instances have several methods to inspect the metadata of the service - in particular, what tables with what columns are available - discussed below. To get an idea of how to write queries in ADQL, have a look at `GAVO's ADQL course`_; it is basically a standardised subset of SQL with some extensions to make it work better for astronomy. .. _GAVO's ADQL course: https://docs.g-vo.org/adql Synchronous vs. asynchronous query ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ In synchronous (“sync”) mode, the client keeps a connection for the entire runtime of the query, and query processing generally starts when the request is submitted. This is convenient but becomes brittle as queries have runtimes of the order of minutes, when you may encounter query timeouts. Also, many data providers impose rather strict limits on the runtime allotted to sync queries. In asynchronous (“async”) mode, on the other hand, the client just submits a query and receives a URL that let us inspect the execution status (and retrieve its result) later. This means that no connection needs to be held, which makes this mode a lot more robust of long-running queries. It also supports queuing queries, which allows service operators to be a lot more generous with resource limits. To specify the query mode, you can use either ``run_sync()`` for synchronous query or ``run_async()`` for asynchronous query. .. doctest-remote-data:: >>> job = tap_service.submit_job(ex_query) To learn more details from the asynchronous query, let's look at the ``submit_job()`` method. This submits an asynchronous query without starting it, it creates a new object :py:class:`~pyvo.dal.AsyncTAPJob`. .. doctest-remote-data:: >>> job.url 'http://dc.g-vo.org/__system__/tap/run/async/...' The job URL mentioned before is available in the ``url`` attribute. Clicking on the URL leads you to the query itself, where you can check the status(phase) of the query and decide to run, modify or delete the job. You can also do it via various attributes: .. doctest-remote-data:: >>> job.phase 'PENDING' A newly created job is in the PENDING state. While it is pending, it can be configured, for instance, overriding the server's default time limit (after which the query will be canceled): .. doctest-remote-data:: >>> job.executionduration = 700 >>> job.executionduration 700 When you are ready, you can start the job: .. doctest-remote-data:: >>> job.run() This will put the job into the QUEUED state. Depending on how busy the server is, it will immediately go to the EXECUTING status: .. doctest-remote-data:: >>> job.phase # doctest: +IGNORE_OUTPUT 'EXECUTING' The job will eventually end up in one of the phases: * COMPLETED - if all went to plan, * ERROR - if the query failed for some reason; look at the error attribute of the job to find out details, * ABORTED - if you manually killed the query using the ``abort()`` method or the server killed your query, presumably because it hit the time limit. After the job ends up in COMPLETED, you can retrieve the result: .. doctest-remote-data:: >>> job.phase # doctest: +IGNORE_OUTPUT 'COMPLETED' >>> job.fetch_result() # doctest: +SKIP (result table as shown before) Eventually, it is friendly to clean up the job rather than relying on the server to clean it up once ``job.destruction`` (a datetime that you can change if you need to) is reached. .. doctest-remote-data:: >>> job.delete() For more attributes please read the description for the job object :py:class:`~pyvo.dal.AsyncTAPJob`. With ``run_async()`` you basically submit an asynchronous query and return its result. It is like running ``submit_job()`` first and then run the query manually. Query limit ^^^^^^^^^^^ As a sanity precaution, most services have some default limit of how many rows they will return before overflowing: .. doctest-remote-data:: >>> print(tap_service.maxrec) 20000 To retrieve more rows than that (often conservative) default limit, you must override maxrec in the call to ``search``. PyVO will only warn about truncation when it's unexpected. If you request 5 records and get 5 records, no warning is issued: .. doctest-remote-data:: >>> tap_results = tap_service.search("SELECT * FROM arihip.main", maxrec=5) >>> len(tap_results) 5 However, if results are truncated by server limits without you specifying maxrec, you'll receive a helpful warning: .. doctest-remote-data:: >>> tap_results = tap_service.search("SELECT * FROM arihip.main") # doctest: +SHOW_WARNINGS DALOverflowWarning: Results truncated due to server limits. Consider setting a maxrec value. Services will not let you raise maxrec beyond the hard match limit: .. doctest-remote-data:: >>> print(tap_service.hardlimit) 16000000 A list of the tables and the columns within them is available in the TAPService's :py:attr:`~pyvo.dal.TAPService.tables` attribute by using it as an iterator or calling it's ``describe()`` method for a human-readable summary. Uploads ^^^^^^^ Some TAP services allow you to upload your own tables to make them accessible in queries. For this the various query methods have a ``uploads`` keyword, which accepts a dictionary of table name and content. The mechanism behind this parameter is smart enough to distinct between various types of content, either a :py:class:`~str` pointing to a local file or a file-like object, a :py:class:`~astropy.table.Table` or :py:class:`~pyvo.dal.query.DALResults` for an inline upload, or a url :py:class:`~str` pointing to a remote resource. The uploaded tables will be available as ``TAP_UPLOAD.name``. .. note:: The supported upload methods are available under :py:meth:`~pyvo.dal.tap.TAPService.upload_methods`. .. _table manipulation: Table Manipulation ^^^^^^^^^^^^^^^^^^ .. note:: This is a prototype implementation and the interface might not be stable. More details about the feature at: :ref:`cadc-tb-upload` Some services allow users to create, modify and delete tables. Typically, these functionality is only available to authenticated (and authorized) users. .. Requires proper credentials and authorization .. doctest-skip:: >>> auth_session = vo.auth.AuthSession() >>> # authenticate. For ex: auth_session.credentials.set_client_certificate('') >>> tap_service = vo.dal.TAPService("https://ws-cadc.canfar.net/youcat", session=auth_session) >>> >>> table_definition = ''' ... ... my_table ... This is my very own table ... ... article ... some article ... char ... ... ... count ... how many ... long ... ... ''' >>> tap_service.create_table(name='test_schema.test_table', definition=StringIO(table_definition)) Table content can be loaded from a file or from memory. Supported data formats: tab-separated values (tsv), comma-separated values (cvs) or VOTable (VOTable): .. doctest-skip:: >>> tap_service.load_table(name='test_schema.test_table', ... source=StringIO('article,count\narticle1,10\narticle2,20\n'), format='csv') Users can also create indexes on single columns: .. doctest-skip:: >>> tap_service.create_index(table_name='test_schema.test_table', column_name='article', unique=True) Finally, tables and their content can be removed: .. doctest-skip:: >>> tap_service.remove_table(name='test_schema.test_table') For further information about the service's parameters, see :py:class:`~pyvo.dal.TAPService`. .. _pyvo-sia: Simple Image Access ------------------- .. pull-quote:: The Simple Image Access (SIA) protocol provides capabilities for the discovery, description, access, and retrieval of multi-dimensional image datasets, including 2-D images as well as datacubes of three or more dimensions. SIA data discovery is based on the `ObsCore Data Model `_, which primarily describes data products by the physical axes (spatial, spectral, time, and polarization). Image datasets with dimension greater than 2 are often referred to as datacubes, cube or image cube datasets and may be considered examples of hypercube or n-cube data. PyVO supports both versions of SIA. -- `Simple Image Access `_ Basic queries are done with the ``pos`` and ``size`` parameters described in :ref:`pyvo-astro-params`, with ``size`` being the rectangular region around ``pos``. .. doctest-remote-data:: >>> pos = SkyCoord.from_name('Eta Carina') >>> size = Quantity(0.5, unit="deg") >>> sia_service = vo.dal.SIAService("http://dc.g-vo.org/hppunion/q/im/siap.xml") >>> sia_results = sia_service.search(pos=pos, size=size) The dataset format, 'all' by default, can be specified: .. doctest-remote-data:: >>> sia_results = sia_service.search(pos=pos, size=size, format='graphics') This would return all graphical image formats (png, jpeg, gif) available. Other possible values are image/* mimetypes, or ``metadata``, which returns no image at all but instead a declaration of the additional parameters supported by the given service. The ``intersect`` argument (defaulting to ``OVERLAPS``) lets a program specify the desired relationship between the region of interest and the coverage of the images (case-insensitively): .. doctest-remote-data:: >>> sia_results = sia_service.search(pos=pos, size=size, intersect='covers') Available values: ========= ====================================================== COVERS select images that completely cover the search region ENCLOSED select images that are complete enclosed by the region OVERLAPS select any image that overlaps with the search region CENTER select images whose center is within the search region ========= ====================================================== This service exposes the :ref:`verbosity ` parameter For further information about the service's parameters, see :py:class:`~pyvo.dal.SIAService`. .. _pyvo-ssa: Simple Spectrum Access ---------------------- .. pull-quote:: The Simple Spectral Access (SSA) Protocol (SSAP) defines a uniform interface to remotely discover and access one dimensional spectra. -- `Simple Spectral Access Protocol `_ Access to (one-dimensional) spectra resembles image access, with some subtile differences: The size parameter is called ``diameter`` here, and hence the search region is always circular with ``pos`` as center: .. doctest-remote-data:: >>> ssa_service = vo.dal.SSAService("http://archive.stsci.edu/ssap/search2.php?id=BEFS&") >>> ssa_results = ssa_service.search(pos=pos, diameter=size) >>> ssa_results[0].getdataurl() 'http://archive.stsci.edu/pub/vospectra/...' SSA queries can be further constrained by the ``band`` and ``time`` parameters. .. doctest-remote-data:: >>> ssa_results = ssa_service.search( ... pos=pos, diameter=size, ... time=Time((53000, 54000), format='mjd'), band=Quantity((1e-13, 1e-12), unit="m")) For further information about the service's parameters, see :py:class:`~pyvo.dal.SSAService`. .. _pyvo-scs: Simple Cone Search ------------------ .. pull-quote:: The Simple Cone Search (SCS) API specification defines a simple query protocol for retrieving records from a catalog of astronomical sources. The query describes sky position and an angular distance, defining a cone on the sky. The response returns a list of astronomical sources from the catalog whose positions lie within the cone, formatted as a VOTable. -- `Simple Cone Search `_ The Simple Cone Search returns results – typically catalog entries – within a circular region on the sky defined by the parameters ``pos`` (again, ICRS) and ``radius``: .. doctest-remote-data:: >>> scs_srv = vo.dal.SCSService('http://dc.g-vo.org/arihip/q/cone/scs.xml') >>> scs_results = scs_srv.search(pos=pos, radius=size) This service exposes the :ref:`verbosity ` parameter. For further information about the service's parameters, see :py:class:`~pyvo.dal.SCSService`. .. _pyvo-slap: Simple Line Access ------------------ .. pull-quote:: The Simple Line Access Protocol (SLAP) is an IVOA data access protocol which defines a protocol for retrieving spectral lines coming from various Spectral Line Data Collections through a uniform interface within the VO framework. -- `Simple Line Access Protocol `_ This service let you query for spectral lines in a certain ``wavelength`` range. The unit of the values is meters, but any unit may be specified using `~astropy.units.Quantity`. For further information about the service's parameters, see :py:class:`~pyvo.dal.SLAService`. Jobs ==== Some services, most notably TAP ones, allow asynchronous operation (i.e., you submit a job, receive a URL where to check for updates, and then can go away) using a VO standard called UWS. These have a ``submit_job`` method, which has the same parameters as their ``search`` but start a server-side job instead of waiting for the result to return. This is particularly useful for longer-running queries or when you want to run several queries in parallel from one script. .. note:: It is good practice to test the query with a maxrec constraint first. When you invoke ``submit_job`` you will get a job object. .. doctest-remote-data:: >>> async_srv = vo.dal.TAPService("http://dc.g-vo.org/tap") >>> job = async_srv.submit_job("SELECT * FROM ivoa.obscore") .. note:: Currently, only `pyvo.dal.tap.TAPService` supports server-side jobs. This job is not yet running yet. To start it invoke ``run`` .. doctest-remote-data:: >>> job.run() # doctest: +IGNORE_OUTPUT Get the current job phase: .. doctest-remote-data:: >>> print(job.phase) # doctest: +IGNORE_OUTPUT EXECUTING Maximum run time in seconds is available and can be changed with :py:attr:`~pyvo.dal.AsyncTAPJob.execution_duration` .. doctest-remote-data:: >>> print(job.execution_duration) 7200.0 >>> job.execution_duration = 3600 Obtaining the job url, which is needed to reconstruct the job at a later point: .. doctest-remote-data:: >>> job_url = job.url >>> job = vo.dal.tap.AsyncTAPJob(job_url) Besides ``run`` there are also several other job control methods: * :py:meth:`~pyvo.dal.AsyncTAPJob.abort` * :py:meth:`~pyvo.dal.AsyncTAPJob.delete` * :py:meth:`~pyvo.dal.AsyncTAPJob.wait` .. note:: Usually the service deletes the job after a certain time, but it is a good practice to delete it manually when done. The destruction time can be obtained and changed with :py:attr:`~pyvo.dal.AsyncTAPJob.destruction` Also, :py:class:`pyvo.dal.AsyncTAPJob` works as a context manager which takes care of this automatically: .. doctest-remote-data:: >>> with async_srv.submit_job("SELECT * FROM ivoa.obscore") as job1: ... job1.run() # doctest: +IGNORE_OUTPUT >>> print('job1 deleted!') job1 deleted! Check for errors in the job execution: .. doctest-remote-data:: >>> job.raise_if_error() If the execution was successful, the resultset can be obtained using :py:meth:`~pyvo.dal.AsyncTAPJob.fetch_result` The result url is available under :py:attr:`~pyvo.dal.AsyncTAPJob.result_uri` .. _pyvo-resultsets: Resultsets and Records ====================== Resultsets contain primarily tabular data and might also provide binary datasets and/or access to additional data services. To obtain the names of the columns in a service response, write: .. doctest-remote-data:: >>> tap_service = vo.dal.TAPService("http://dc.g-vo.org/tap") >>> resultset = tap_service.search("SELECT * FROM ivoa.obscore" ... " WHERE obs_collection='CALIFA' AND" ... " 1=CONTAINS(s_region, CIRCLE(23, 42, 5))" ... " ORDER BY obs_publisher_did") >>> print(resultset.fieldnames) ('dataproduct_type', 'dataproduct_subtype', 'calib_level', 'obs_collection', 'obs_id', 'obs_title', 'obs_publisher_did', 'obs_creator_did', 'access_url', 'access_format', 'access_estsize', 'target_name', 'target_class', 's_ra', 's_dec', 's_fov', 's_region', 's_resolution', 't_min', 't_max', 't_exptime', 't_resolution', 'em_min', 'em_max', 'em_res_power', 'o_ucd', 'pol_states', 'facility_name', 'instrument_name', 's_xel1', 's_xel2', 't_xel', 'em_xel', 'pol_xel', 's_pixel_scale', 'em_ucd', 'preview', 'source_table') Rich metadata equivalent to what is found in VOTables (including unit, ucd, utype, and xtype) is available through resultset's :py:meth:`~pyvo.dal.query.DALResults.getdesc` method: .. doctest-remote-data:: >>> print(resultset.getdesc('s_fov').ucd) phys.angSize;instr.fov .. note:: Two convenience functions let you retrieve columns of a specific physics (by UCD) or with a particular legacy data model annotation (by utype), like this: .. doctest-remote-data:: >>> fieldname = resultset.fieldname_with_ucd('phys.angSize;instr.fov') >>> fieldname = resultset.fieldname_with_utype('obscore:access.reference') Iterating over a resultset gives the rows in the result: .. doctest-remote-data:: >>> for row in resultset: ... print(row['s_fov']) 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 The total number of rows in the answer is available as its ``len()``: .. doctest-remote-data:: >>> print(len(resultset)) 9 If the row contains datasets, they are exposed by several retrieval methods: .. remove skip once https://github.com/astropy/pyvo/issues/361 is fixed .. doctest-skip:: >>> row.getdataurl() 'http://dc.g-vo.org/getproduct/califa/datadr3/V500/NGC0551.V500.rscube.fits' >>> type(row.getdataset()) Returning the access url or the a file-like object to further work on. As with general numpy arrays, accessing individual columns via names gives an array of all of their values: .. doctest-remote-data:: >>> column = resultset['obs_id'] whereas integers retrieve rows: .. doctest-remote-data:: >>> row = resultset[0] and both combined gives a single value: .. doctest-remote-data:: >>> value = resultset['obs_id', 0] Row objects may expose certain key columns as properties. See the corresponding API spec listed below for details. * :py:class:`pyvo.dal.sia.SIARecord` * :py:class:`pyvo.dal.ssa.SSARecord` * :py:class:`pyvo.dal.scs.SCSRecord` * :py:class:`pyvo.dal.sla.SLARecord` Convenience methods are available to transform the results into :py:class:`astropy.table.Table` or :py:class:`astropy.table.QTable` (values as quantities): .. doctest-remote-data:: >>> astropy_table = resultset.to_table() >>> astropy_qtable = resultset.to_qtable() Datalink -------- Datalink lets operators associate multiple artifacts with a dataset. Examples include linking raw data, applicable or applied calibration data, derived datasets such as extracted sources, extra documentation, and much more. Datalink can both be used on result rows of queries and from datalink-valued URLs. The typical use is to call ``iter_datalinks()`` on some DAL result; this will iterate over all datalinks pyVO finds in a document and yields :py:class:`pyvo.dal.adhoc.DatalinkResults` instances for them. In those, you can, for instance, pick out items by semantics, where the standard vocabulary datalink documents use is documented at http://www.ivoa.net/rdf/datalink/core. Here is how to find URLs for previews: .. doctest-remote-data:: >>> rows = vo.dal.TAPService("http://dc.g-vo.org/tap" ... ).run_sync("select top 5 * from califadr3.cubes order by califaid") >>> for dl in rows.iter_datalinks(preserve_order=True): # doctest: +IGNORE_WARNINGS ... print(next(dl.bysemantics("#preview"))["access_url"]) http://dc.g-vo.org/getproduct/califa/datadr3/V1200/IC5376.V1200.rscube.fits?preview=True http://dc.g-vo.org/getproduct/califa/datadr3/COMB/IC5376.COMB.rscube.fits?preview=True http://dc.g-vo.org/getproduct/califa/datadr3/V500/IC5376.V500.rscube.fits?preview=True http://dc.g-vo.org/getproduct/califa/datadr3/COMB/UGC00005.COMB.rscube.fits?preview=True http://dc.g-vo.org/getproduct/califa/datadr3/V1200/UGC00005.V1200.rscube.fits?preview=True The call to ``next`` in this example picks the first link marked *preview*. For previews, this may be enough, but in general there can be multiple links for a given semantics value for one dataset. It is sometimes useful to go back to the original row the datalink was generated from; use the ``original_row`` attribute for that (which may be None if pyvo does not know what row the datalink came from): .. doctest-remote-data:: >>> dl.original_row["obs_title"] 'CALIFA V1200 UGC00005' Consider ``original_row`` read only. We do not define what happens when you modify it. Rows from tables supporting datalink also have a ``getdatalink()`` method that returns a ``DatalinkResults`` instance. In general, this is less flexible than using ``iter_datalinks``, and it may also cause more network traffic because each such call will cause a network request. When one has a link to a Datalink document – for instance, from an obscore or SIAP service, where the media type is application/x-votable;content=datalink –, one can build a DatalinkResults using :py:meth:`~pyvo.dal.adhoc.DatalinkResults.from_result_url`: .. doctest-remote-data:: >>> from pyvo.dal.adhoc import DatalinkResults >>> # In this example you know the URL from somewhere >>> url = 'https://ws.cadc-ccda.hia-iha.nrc-cnrc.gc.ca/caom2ops/datalink?ID=ivo%3A%2F%2Fcadc.nrc.ca%2FHSTHLA%3Fhst_12477_28_acs_wfc_f606w_01%2Fhst_12477_28_acs_wfc_f606w_01_drz' >>> datalink = DatalinkResults.from_result_url(url) >>> next(datalink.bysemantics("#this")).content_type 'application/fits' Server-side processing ---------------------- Some services support the server-side processing of record datasets. This includes spatial cutouts for 2d-images, reducing of spectra to a certain waveband range, and many more depending on the service. Generic Datalink Processing Service ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ Generic access to processing services is provided through the datalink interface. .. remove skip once https://github.com/astropy/pyvo/issues/361 is fixed .. doctest-skip:: >>> datalink_proc = next(row.getdatalink().bysemantics('#proc')) .. note:: Most datalink documents only have one processing service per dataset, which is why there is the ``get_first_proc`` shortcut mentioned below. The returned object lets you access the available input parameters which you can pass as keywords to the ``process`` method. .. remove skip once https://github.com/astropy/pyvo/issues/361 is fixed .. doctest-skip:: >>> datalink_proc = row.getdatalink().get_first_proc() >>> print(datalink_proc.input_params) For more details about this have a look at :py:class:`astropy.io.votable.tree.Param`. Calling the method will return a file-like object on success. .. remove skip once https://github.com/astropy/pyvo/issues/361 is fixed .. doctest-skip:: >>> print(datalink_proc) >>> fobj = datalink.process(circle=(1, 1, 1)) SODA ^^^^ SODA is a service with predefined parameters, available on row-level through :py:meth:`pyvo.dal.adhoc.SodaRecordMixin.processed` which exposes a set of parameters which are dependent on the type of service. - ``circle`` -- a sequence (degrees) or :py:class:`astropy.units.Quantity` of longitude, latitude and radius - ``range`` -- a sequence (degrees) or :py:class:`astropy.units.Quantity` of two longitude values and two latitude values describing a rectangle. - ``polygon`` -- multiple pairs of longitude and latitude points - ``band`` -- a sequence of two values (meters) or :py:class:`astropy.units.Quantity` with two bandwidth values. The right sort order will be ensured if converting from frequency to wavelength. Interoperabillity over SAMP --------------------------- Tables and datasets can be send to other astronomical applications, providing they have support for SAMP (Simple Application Messaging Protocol). You can either broadcast whole tables by calling ``broadcast_samp`` on the resultset or a single product (image, spectrum) by calling this method on the SIA or SSA record. .. note:: Don't forget to start the application and make sure there is a running SAMP Hub. Underlying data structures -------------------------- PyVO also allows access to underlying data structures. The astropy data classes :py:class:`astropy.table.Table` and :py:class:`astropy.table.QTable` are accessible with the method :py:meth:`pyvo.dal.DALResults.to_table` and :py:meth:`pyvo.dal.DALResults.to_qtable`, following astropy naming conventions. If you want to work with the XML data structures :py:class:`astropy.io.votable.tree.VOTableFile` or :py:class:`astropy.io.votable.tree.TableElement`, they are accessible by the attributes :py:attr:`pyvo.dal.DALResults.resultstable` and :py:attr:`pyvo.dal.DALResults.votable`, respectively. Reference/API ============= .. automodapi:: pyvo.dal .. automodapi:: pyvo.dal.adhoc astropy-pyvo-b70558c/docs/discover/000077500000000000000000000000001510533647000173175ustar00rootroot00000000000000astropy-pyvo-b70558c/docs/discover/index.rst000066400000000000000000000201731510533647000211630ustar00rootroot00000000000000.. _pyvo-discover: ****************************************** Global Dataset Discovery (`pyvo.discover`) ****************************************** One of the promises of the Virtual Observatory has always been that researchers can globally look for data sets (spectra, say). In the early days of the VO, this looked relatively simple: Just enumerate all image (in those days: SIAP) services, send the same query to them, and then somehow shoehorn together their responses. In reality, there are all kinds of small traps ranging from hanging services to the sheer number of data collections. Hitting hundreds of internet sites takes quite a bit of time even when everything works. In the meantime, the picture is further complicated by the emergence of additional protocols. Images, for instance, can be published through SIA version 1, SIA version 2, and ObsTAP in 2024 – and in particular any combination of that. To keep global discovery viable, several techniques can be applied: * pre-select the services by using the service footprints in space, time, and spectrum. * elide services serving the same data collections * filter duplicate responses before presenting them to the user. This is the topic of this sub-module. In early 2024, this is still in early development. Basic Usage =========== The basic API for dataset discovery is through functions accepting constraints on * space (currently, a cone, i.e., RA, Dec and a radius in degrees), * spectrum (currently, a point in the spectrum as a spectral quantity), and * time (an astropy.time.Time instance or a pair of them to denote an interval). For instance:: from pyvo import discover from astropy import units as u from astropy import time datasets, log = discover.images_globally( space=(273.5, -12.1, 0.1), spectrum=1*u.nm, time=(time.Time('1995-01-01'), time.Time('1995-12-31'))) print(datasets) The function returns a pair of lists. ``datasets`` is a list of `~pyvo.discover.ImageFound` instances. This is the (potentially long) list of datasets located. The second returned value, ``log``, is a sequence of strings noting which services failed and which returned how many records. In exploratory work, it is probably all right to discard the information, but for research purposes, these log lines are an important part of the provenance and must be retained – after all, you might have missed an important clue just because a service was down at the moment you ran your discovery; also, you might want to re-query the failing services at some later stage. All constraints are optional, but without a space constraint, no SIA1 services will be queried. With spectrum and time constraints, it is probably wise to pass ``inclusive=True`` for the time being, as far too many resources do not define their coverage. The discovery function accepts a few other parameters you should know about. These are discussed in the following sections. ``inclusive`` Searching ----------------------- Unfortunately, many resources in the VO do not yet declare their coverage. In its default configuration, pyVO discovery will not query services that do not explicitly say they cover the region of interest and hence always skip these services (unless you manually pass them in, see below). To change that behaviour and try services that do not state their coverage, pass ``inclusive=True``. At this time, this will usually dramatically increase the search time. Setting ``inclusive`` to True will also include datasets that do not declare their temporal of spectral coverage when coming for version 1 SIAP services [TODO: do that in obscore, too?]. This may dramatically increase the number of false positives. It is probably wise to only try ``inclusive=True`` when desperate or when there is a particular necessity to not miss any potentially applicable data. The Watcher ----------- Global discovery usually hits dozens of web services. To see what is going on, you can pass in a function accepting a single string as ``watcher``. The trivial implementation would be:: import datetime def watch(disco, msg): print(datetime.datetime.now(), msg) found, log = discover.images_globally( space=(3, 1, 0.2), watcher=watch) Here, ``disco`` is an ``ImageDiscoverer`` instance; this way, you can further inspect the state of things, e.g., by looking at the ``already_queried`` and ``failed_services`` attributes containing the number of total services tried and of services that gave errors, respectively. Also, although that clearly goes beyond watching, you can call the ``reset_services()`` method. This empties the query queues and thus in effect stops the discovery process. Setting Timeouts ---------------- There are always some services that are broken. A particularly insidious sort of brokenness occurs when data centres run reverse proxies (many do these days) that are up and try to connect to a backend server intended to run the actual service. In certain configurations, it might take the reverse proxy literally forever to notice when a backend server is unreachable, and meanwhile your global discovery will hang, too. Therefore, pyVO global discovery will give up after ``timeout`` seconds, defaulting to 20 seconds. Note that large data collections *may* take longer than that to produce their response; but given the simple constraints we support so far, we would probably consider them broken in that case. Reducing the timeout to just a few seconds will make pyVO continue earlier on broken services. But that of course increases the risk of cutting off working services. If in doubt, have a brief look at the log lines; if a service that sounds promising shows a timeout, perhaps try again with a longer timeout or use partial matching. Overriding service selection ---------------------------- You can also pass a `pyvo.registry.RegistryResults` instance to ``services`` to override the automatic selection of services to query. See the discussion of overriding the service selection in Discoverers_. Discoverers =========== For finer control of the discovery process, you can directly use the `pyvo.discover.image.ImageDiscoverer` class. It is constructed with essentially the same parameters as the search function. To run the discovery, first establish which services to query. There are two ways to do that: * Call the ``discover_services()`` method. This is what the search function does; it uses your constraints as above. * Pass a `pyvo.registry.RegistryResults` instance to ``set_services``. This lets you do your own searches. The image discoverer will only use resources that it knows how to handle. For instance, it is safe to call something like:: discoverer.set_services( registry.search(registry.UAT("galaxies", expand_down=3))) to query services that claim to deal with galaxies or perhaps more specific concepts (although this *will* pull a lot of extra services that the discoverer will just discard). More realistically, :: discoverer.set_services( registry.search(registry.Datamodel("obscore"))) will restrict the operation to obscore services. ``set_services`` will purge redundant services, which means that services that say they (or their data) is served by another service that will already be queried will not be queried. Outside of debugging, this is what you want, but if you really do not want this, you can pass ``purge_redundant=False``. Note, however, that you will still get only one match per access URL of the dataset. Once you have set the services, call ``query_services()`` to fill the ``results`` and ``log_messages`` attributes. It may be informative to watch these change from, say, a different thread. Changing their content has undefined results. A working example would look like this:: from pyvo import discover, registry from astropy.time import Time im_discoverer = discover.image.ImageDiscoverer( space=(274.6880, -13.7920, 0.1), time=(Time('1996-10-04'), Time('1996-10-10'))) im_discoverer.set_services( registry.search(keywords=["heasarc rass"])) im_discoverer.query_services() print(im_discoverer.log_messages) print(im_discoverer.results) Reference/API ============= .. automodapi:: pyvo.discover astropy-pyvo-b70558c/docs/index.rst000066400000000000000000000073101510533647000173430ustar00rootroot00000000000000PyVO ==== Introduction ------------ This is the documentation for PyVO, an affiliated package for the `astropy `__ package. PyVO lets you find and retrieve astronomical data available from archives that support standard `IVOA `__ virtual observatory service protocols. * :ref:`Table Access Protocol (TAP) ` -- accessing source catalogs using sql-ish queries. * :ref:`Simple Image Access (SIA) ` -- finding images in an archive. * :ref:`Simple Spectral Access (SSA) ` -- finding spectra in an archive. * :ref:`Simple Cone Search (SCS) ` -- for positional searching a source catalog or an observation log. * :ref:`Simple Line Access (SLAP) ` -- finding data about spectral lines, including their rest frequencies. .. note:: If you need to access data which is not available via the Virtual Observatory standards, try the astropy affiliated package `astroquery `__ (and, of course, ask the data providers to do the right thing and use the proper standards for their publication). Installation ------------ PyVO is installable via pip. .. code-block:: bash pip install pyvo Source Installation ^^^^^^^^^^^^^^^^^^^ .. code-block:: bash git clone http://github.com/astropy/pyvo cd pyvo python setup.py install Requirements ------------ * numpy * astropy * requests .. _getting-started: Getting started --------------- Data Access ^^^^^^^^^^^ Most of the interesting functionality of pyVO is through the various data access service interfaces (SCS for catalogs, SIA for images, SSAP for spectra, TAP for tables). All of these behave in a similar way. First, there is a class describing a specific type of service: .. doctest-remote-data:: >>> import pyvo as vo >>> service = vo.dal.TAPService("http://dc.g-vo.org/tap") Once you have a service object, you can run queries with parameters specific to the service type. In this example, a database query is enough: .. doctest-remote-data:: >>> resultset = service.search("SELECT TOP 1 * FROM ivoa.obscore") >>> resultset dataproduct_type dataproduct_subtype ... source_table ... object object ... object ---------------- ------------------- ... ------------ image ... ppakm31.maps What is returned by the search method is a to get a resultset object, which essentially works like a numpy record array. It can be processed either by columns: .. doctest-remote-data:: >>> row = resultset[0] >>> column = resultset["dataproduct_type"] or by rows. .. doctest-remote-data:: >>> for row in resultset: ... calib_level = row["calib_level"] For more details on how to use data access services see :ref:`pyvo-data-access` Registry search ^^^^^^^^^^^^^^^ PyVO also contains a component that lets your programs interrogate the IVOA Registry in a simple way. For instance, to iterate over all TAP services supporting the obscore data model (which lets people publish observational datasets through TAP tables), you can write: .. doctest-remote-data:: >>> for service in vo.regsearch(datamodel="obscore"): ... print(service['ivoid']) # doctest: +IGNORE_OUTPUT ivo://aip.gavo.org/tap ivo://archive.stsci.edu/caomtap ivo://astro.ucl.ac.uk/tap ivo://astron.nl/tap ivo://asu.cas.cz/tap ... ivo://xcatdb/3xmmdr7/tap ivo://xcatdb/4xmm/tap Using ``pyvo`` -------------- .. toctree:: :maxdepth: 1 dal/index registry/index discover/index io/index auth/index samp mivot/index utils/index utils/prototypes astropy-pyvo-b70558c/docs/io/000077500000000000000000000000001510533647000161105ustar00rootroot00000000000000astropy-pyvo-b70558c/docs/io/index.rst000066400000000000000000000002771510533647000177570ustar00rootroot00000000000000**************** IO (``pyvo.io``) **************** This module contains submodules which handle datastructures related to the virtual observatory. .. toctree:: :maxdepth: 1 vosi uws astropy-pyvo-b70558c/docs/io/uws.rst000066400000000000000000000411051510533647000174610ustar00rootroot00000000000000****************************************** Universal Worker Service (``pyvo.io.uws``) ****************************************** .. currentmodule:: pyvo.io.uws Introduction ============ The Universal Worker Service (UWS) is an IVOA Recommendation that defines a protocol for managing asynchronous jobs in IVOA services through a RESTful API that can be used to submit, monitor and control asynchronous operations. Getting Started =============== UWS job documents can be parsed directly from URLs, files, or strings using the parsing functions provided by this module: .. doctest-remote-data:: >>> import pyvo as vo >>> from pyvo.io.uws import parse_job, parse_job_list >>> tap_service = vo.dal.TAPService("http://dc.g-vo.org/tap") >>> ex_query = """ ... SELECT TOP 5 ... source_id, ra, dec, phot_g_mean_mag ... FROM gaia.dr3lite ... WHERE phot_g_mean_mag BETWEEN 19 AND 20 ... ORDER BY phot_g_mean_mag ... """ >>> async_job = tap_service.submit_job(ex_query) >>> async_job.run().wait() >>> >>> # Parse a single job from a UWS service >>> job = parse_job(async_job.url) >>> >>> print(f"Job {job.jobid} is {job.phase}") Job ... is COMPLETED >>> jobs = parse_job_list('http://dc.g-vo.org/tap/async') >>> # Show jobs >>> if len(jobs) >= 1: ... print(f"Example job: {jobs[0].jobid} is {jobs[0].phase}") Example job: ... is ... >>> >>> print(f"Successfully parsed {len(jobs)} jobs") # doctest: +SKIP UWS is most commonly encountered when working with :ref:`TAP services ` in asynchronous mode. The :class:`pyvo.dal.AsyncTAPJob` class provides a higher-level interface that uses the UWS parsing functions internally. UWS Job Lifecycle ================== A UWS job progresses through several phases. Most jobs follow the standard progression through the five common states, while the additional states handle special circumstances: **Common Job States**: * **PENDING**: The job is accepted by the service but not yet committed for execution by the client. In this state, the job quote can be read and evaluated. This is the state into which a job enters when it is first created. * **QUEUED**: The job is committed for execution by the client but the service has not yet assigned it to a processor. No results are produced in this phase. * **EXECUTING**: The job has been assigned to a processor. Results may be produced at any time during this phase. * **COMPLETED**: The execution of the job is over. The results may be collected. * **ERROR**: The job failed to complete. No further work will be done nor results produced. Results may be unavailable or available but invalid; either way the results should not be trusted. **Special States**: * **ABORTED**: The job has been manually aborted by the user, or the system has aborted the job due to lack of or overuse of resources. * **HELD**: The job is HELD pending execution and will not automatically be executed (cf. PENDING). * **SUSPENDED**: The job has been suspended by the system during execution. This might be because of temporary lack of resources. The UWS will automatically resume the job into the EXECUTING phase without any intervention when resource becomes available. * **UNKNOWN**: The job is in an unknown state. * **ARCHIVED**: At destruction time the results associated with a job have been deleted to free up resource, but the metadata associated with the job is retained. Core Components =============== Jobs and Job Lists ------------------ The fundamental UWS concepts are represented by these classes: :class:`~pyvo.io.uws.tree.JobSummary` Represents a single UWS job with all its metadata, parameters, and results. :class:`~pyvo.io.uws.tree.Jobs` Represents a list of jobs, typically returned when querying a job list endpoint. :class:`~pyvo.io.uws.endpoint.JobFile` Represents a complete UWS job XML document. Job Parameters and Results -------------------------- :class:`~pyvo.io.uws.tree.Parameters` Container for job input parameters. :class:`~pyvo.io.uws.tree.Parameter` Individual parameter with an ID and value, optionally referenced by URL. :class:`~pyvo.io.uws.tree.Results` Container for job output results. :class:`~pyvo.io.uws.tree.Result` Individual result with metadata like size and MIME type. What is JobInfo? ================ The :class:`~pyvo.io.uws.tree.JobInfo` element is an extensible container that allows UWS implementations to include arbitrary, service-specific information about a job. This for example can be used to provide: * **Implementation-specific metadata** about job execution like progress info * **Service-specific configuration** or diagnostic information * **Extended error details** or debugging information JobInfo exposes this information in a possibly hierarchical dictionary. Working with UWS Jobs ===================== Setting Up Examples ------------------- For the following examples, we'll use a sample UWS job document: >>> import pyvo.io.uws >>> from io import BytesIO >>> >>> # Load sample UWS job from Appendix A >>> sample_job_xml = b''' ... ... async-query-12345 ... query-run-id ... user-1 ... COMPLETED ... 2025-06-19T14:35:00.000Z ... 2025-06-19T14:30:00.000Z ... 2025-06-19T14:30:05.123Z ... 2025-06-19T14:32:18.456Z ... 600 ... 2025-06-26T14:30:00.000Z ... ... ADQL ... SELECT obj_id, ra, dec, magnitude FROM catalog.objects WHERE 1=CONTAINS(POINT('ICRS', ra, dec), CIRCLE('ICRS', 180.0, 45.0, 1.0)) ... votable ... 10000 ... ... ... ... ... ... 1234 ... 133.333 ... 98.765 ... 0 ... 120 ... compute-node-03 ... 1.1 ... ... ''' >>> >>> job = pyvo.io.uws.parse_job(BytesIO(sample_job_xml)) Parsing and Basic Access ------------------------ >>> # Access basic job information (job created in testsetup above) >>> print(f"Job ID: {job.jobid}") Job ID: async-query-12345 >>> print(f"Phase: {job.phase}") Phase: COMPLETED >>> print(f"Owner: {job.ownerid}") Owner: user-1 >>> print(f"Run ID: {job.runid}") Run ID: query-run-id Timing and Duration Analysis ---------------------------- UWS jobs include comprehensive timing information automatically parsed as :class:`astropy.time.Time` and :class:`astropy.time.TimeDelta` objects: >>> # Job times are automatically parsed as astropy Time objects >>> print(f"Created: {job.creationtime}") Created: 2025-06-19T14:30:00.000 >>> print(f"Started: {job.starttime}") Started: 2025-06-19T14:30:05.123 >>> print(f"Completed: {job.endtime}") Completed: 2025-06-19T14:32:18.456 >>> >>> # Calculate actual execution time >>> if job.starttime and job.endtime: ... duration = job.endtime - job.starttime ... print(f"Job took {duration.to('second').value:.1f} seconds") Job took 133.3 seconds >>> >>> # Check execution limits >>> if job.executionduration: ... print(f"Max allowed: {job.executionduration.to('minute').value:.1f} minutes") Max allowed: 10.0 minutes Parameter Inspection -------------------- Job parameters include both the query itself and configuration options: >>> # Iterate through all parameters >>> for param in job.parameters: ... if param.byreference: ... print(f"Parameter {param.id_}: Referenced from {param.content}") ... else: ... print(f"Parameter {param.id_}: {param.content}") Parameter LANG: ADQL Parameter QUERY: SELECT obj_id, ra, dec, magnitude FROM catalog.objects WHERE 1=CONTAINS(POINT('ICRS', ra, dec), CIRCLE('ICRS', 180.0, 45.0, 1.0)) Parameter FORMAT: votable Parameter MAXREC: 10000 Result Access and Download -------------------------- Results include the actual data products and associated metadata: >>> # Access all results >>> for result in job.results: ... print(f"Result '{result.id_}':") ... print(f" URL: {result.href}") Result 'result': URL: http://example.com/tap/async/async-query-12345/results/result Working with JobInfo ==================== JobInfo provides access to service-specific metadata about job execution. Basic JobInfo Access -------------------- >>> if job.jobinfo: ... # RECOMMENDED: Dict-like access for expected elements ... try: ... rows_returned = job.jobinfo['rowsReturned'] ... execution_time = job.jobinfo['executionTime'] ... print(f"Query returned {rows_returned.value:,} rows in {execution_time.value:.1f} seconds") ... except KeyError as e: ... print(f"Missing expected element: {e}") ... ... # Use .get() with defaults for optional elements ... queue_pos = job.jobinfo.get('queuePosition', None) ... node_id = job.jobinfo.get('nodeId', None) ... ... if queue_pos: ... print(f"Final queue position: {queue_pos.value}") ... ... if node_id: ... print(f"Executed on: {node_id.text}") Query returned 1,234 rows in 133.3 seconds Final queue position: 0 Executed on: compute-node-03 .. note:: **API Usage Recommendation**: When accessing jobInfo elements, prefer dict-like access (``job.jobinfo['element']``) for expected elements, as this provides clearer error handling with KeyError exceptions. Use ``.get()`` with default values for optional elements. See the jobInfo examples for detailed patterns. Understanding .value vs .text ----------------------------- JobInfo elements provide two ways to access their content: >>> if job.jobinfo: ... duration_elem = job.jobinfo['estimatedDuration'] ... ... # .text returns the raw string content ... print(f"Raw text: '{duration_elem.text}'") ... ... # .value attempts automatic type conversion (int, float, or string) ... print(f"Converted value: {duration_elem.value}") ... print(f"Type: {type(duration_elem.value)}") ... ... # For elements with string content that shouldn't be converted ... node_elem = job.jobinfo['nodeId'] ... print(f"Node ID text: {node_elem.text}") ... print(f"Node ID value: {node_elem.value}") Raw text: '120' Converted value: 120 Type: Node ID text: compute-node-03 Node ID value: compute-node-03 Best Practices for JobInfo Access --------------------------------- >>> def safe_jobinfo_access(job): ... """Demonstrates safe jobInfo access patterns""" ... if not job.jobinfo: ... print("No jobInfo available") ... return ... ... # Pattern 1: Expected elements with error handling ... try: ... rows = job.jobinfo['rowsReturned'] ... exec_time = job.jobinfo['executionTime'] ... print(f"Processed {rows.value:,} rows in {exec_time.value:.1f} seconds") ... except KeyError as e: ... print(f"Required statistics missing: {e}") ... ... # Pattern 2: Optional elements with defaults ... queue_pos = job.jobinfo.get('queuePosition', 'unknown') ... priority = job.jobinfo.get('priority', 'normal') ... ... # Pattern 3: Check existence before accessing ... if 'nodeId' in job.jobinfo: ... node = job.jobinfo['nodeId'] ... print(f"Executed on node: {node.text}") ... ... # Pattern 4: Iterate through all available elements ... print("All jobInfo elements:") ... for key in job.jobinfo.keys(): ... element = job.jobinfo[key] ... print(f" {key}: {element.text}") >>> safe_jobinfo_access(job) Processed 1,234 rows in 133.3 seconds Executed on node: compute-node-03 All jobInfo elements: rowsReturned: 1234 executionTime: 133.333 cpuTime: 98.765 queuePosition: 0 estimatedDuration: 120 nodeId: compute-node-03 serviceVersion: 1.1 Job Status Monitoring ===================== Checking Completion Status -------------------------- >>> # Check if job completed successfully >>> if job.phase == 'COMPLETED': ... print("Job completed successfully!") ... ... # Show summary information ... total_time = (job.endtime - job.creationtime).to('minute').value ... print(f"Total job runtime: {total_time:.1f} minutes") ... ... # Access jobInfo safely ... if job.jobinfo: ... try: ... rows = job.jobinfo['rowsReturned'] ... print(f"Total rows returned: {rows.value:,}") ... except KeyError: ... print("Row count not available") ... elif job.phase == 'ERROR' and job.errorsummary and job.errorsummary.message: ... print(f"Job failed: {job.errorsummary.message.content}") ... else: ... print(f"Job is currently: {job.phase}") Job completed successfully! Total job runtime: 2.3 minutes Total rows returned: 1,234 Working with Job Lists ====================== Parsing Job Lists ----------------- While the examples above focus on individual jobs, you can also parse job lists: .. doctest-remote-data:: >>> from pyvo.io.uws import parse_job_list >>> >>> # Parse a job list from a UWS service endpoint >>> jobs = parse_job_list('http://dc.g-vo.org/tap/async') >>> >>> # Or from a local file >>> # jobs = parse_job_list('job_list.xml') >>> >>> # Iterate through jobs (each is a JobSummary object) >>> for job in jobs: ... print(f"Job {job.jobid}: {job.phase}") # doctest: +IGNORE_OUTPUT Job tk7xsqux: PENDING Job swmua8pe: ERROR Job e58i7yoa: ERROR Job 84w2yz8q: COMPLETED Job 6r51ymds: COMPLETED Job undl67gs: COMPLETED Job _wyoqule: COMPLETED Job ltct6n8d: COMPLETED Job 71kg_stz: COMPLETED Job sc9vc_8h: ERROR Job psn4i8_s: ERROR Job kbrhcstw: COMPLETED Job lvzez3fa: COMPLETED Job l9pfluab: COMPLETED Job lkv6rlxx: COMPLETED Job yb77nhg3: COMPLETED Job vkf4h48y: PENDING Job xr3g9c4d: ERROR Job x9xryn2x: COMPLETED Job wba5foai: COMPLETED Job pni8axcg: ERROR Job j6ip1kn_: ERROR Error Handling ============== When working with failed jobs, check the error summary: >>> # Example of handling a job with errors >>> def check_job_status(job_file): ... job = parse_job(job_file) ... ... if job.phase == 'ERROR': ... print(f"Job {job.jobid} failed!") ... if job.errorsummary: ... print(f"Error type: {job.errorsummary.type_}") ... if job.errorsummary.message and job.errorsummary.message.content: ... print(f"Message: {job.errorsummary.message.content}") Reference/API ============= .. automodapi:: pyvo.io.uws.tree .. automodapi:: pyvo.io.uws.endpoint Appendix A: Example UWS Job Document ==================================== All examples in this documentation reference this sample UWS job XML document. .. code-block:: xml async-query-12345 query-run-id user-1 COMPLETED 2025-06-19T14:35:00.000Z 2025-06-19T14:30:00.000Z 2025-06-19T14:30:05.123Z 2025-06-19T14:32:18.456Z 600 2025-06-26T14:30:00.000Z ADQL SELECT obj_id, ra, dec, magnitude FROM catalog.objects WHERE 1=CONTAINS(POINT('ICRS', ra, dec), CIRCLE('ICRS', 180.0, 45.0, 1.0)) votable 10000 1234 133.333 98.765 0 120 compute-node-03 1.1 astropy-pyvo-b70558c/docs/io/vosi.rst000066400000000000000000000004641510533647000176260ustar00rootroot00000000000000*********************** VOSI (``pyvo.io.vosi``) *********************** Reference/API ============= .. automodapi:: pyvo.io.vosi.endpoint .. automodapi:: pyvo.io.vosi.voresource .. automodapi:: pyvo.io.vosi.vodataservice .. automodapi:: pyvo.io.vosi.tapregext .. automodapi:: pyvo.io.vosi.availability astropy-pyvo-b70558c/docs/make.bat000066400000000000000000000106411510533647000171100ustar00rootroot00000000000000@ECHO OFF REM Command file for Sphinx documentation if "%SPHINXBUILD%" == "" ( set SPHINXBUILD=sphinx-build ) set BUILDDIR=_build set ALLSPHINXOPTS=-d %BUILDDIR%/doctrees %SPHINXOPTS% . if NOT "%PAPER%" == "" ( set ALLSPHINXOPTS=-D latex_paper_size=%PAPER% %ALLSPHINXOPTS% ) if "%1" == "" goto help if "%1" == "help" ( :help echo.Please use `make ^` where ^ is one of echo. html to make standalone HTML files echo. dirhtml to make HTML files named index.html in directories echo. singlehtml to make a single large HTML file echo. pickle to make pickle files echo. json to make JSON files echo. htmlhelp to make HTML files and a HTML help project echo. qthelp to make HTML files and a qthelp project echo. devhelp to make HTML files and a Devhelp project echo. epub to make an epub echo. latex to make LaTeX files, you can set PAPER=a4 or PAPER=letter echo. text to make text files echo. man to make manual pages echo. changes to make an overview over all changed/added/deprecated items echo. linkcheck to check all external links for integrity echo. doctest to run all doctests embedded in the documentation if enabled goto end ) if "%1" == "clean" ( for /d %%i in (%BUILDDIR%\*) do rmdir /q /s %%i del /q /s %BUILDDIR%\* goto end ) if "%1" == "html" ( %SPHINXBUILD% -b html %ALLSPHINXOPTS% %BUILDDIR%/html if errorlevel 1 exit /b 1 echo. echo.Build finished. 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The HTML pages are in %BUILDDIR%/singlehtml. goto end ) if "%1" == "pickle" ( %SPHINXBUILD% -b pickle %ALLSPHINXOPTS% %BUILDDIR%/pickle if errorlevel 1 exit /b 1 echo. echo.Build finished; now you can process the pickle files. goto end ) if "%1" == "json" ( %SPHINXBUILD% -b json %ALLSPHINXOPTS% %BUILDDIR%/json if errorlevel 1 exit /b 1 echo. echo.Build finished; now you can process the JSON files. goto end ) if "%1" == "htmlhelp" ( %SPHINXBUILD% -b htmlhelp %ALLSPHINXOPTS% %BUILDDIR%/htmlhelp if errorlevel 1 exit /b 1 echo. echo.Build finished; now you can run HTML Help Workshop with the ^ .hhp project file in %BUILDDIR%/htmlhelp. goto end ) if "%1" == "qthelp" ( %SPHINXBUILD% -b qthelp %ALLSPHINXOPTS% %BUILDDIR%/qthelp if errorlevel 1 exit /b 1 echo. echo.Build finished; now you can run "qcollectiongenerator" with the ^ .qhcp project file in %BUILDDIR%/qthelp, like this: echo.^> qcollectiongenerator %BUILDDIR%\qthelp\Astropy.qhcp echo.To view the help file: echo.^> assistant -collectionFile %BUILDDIR%\qthelp\Astropy.ghc goto end ) if "%1" == "devhelp" ( %SPHINXBUILD% -b devhelp %ALLSPHINXOPTS% %BUILDDIR%/devhelp if errorlevel 1 exit /b 1 echo. echo.Build finished. goto end ) if "%1" == "epub" ( %SPHINXBUILD% -b epub %ALLSPHINXOPTS% %BUILDDIR%/epub if errorlevel 1 exit /b 1 echo. echo.Build finished. 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The manual pages are in %BUILDDIR%/man. goto end ) if "%1" == "changes" ( %SPHINXBUILD% -b changes %ALLSPHINXOPTS% %BUILDDIR%/changes if errorlevel 1 exit /b 1 echo. echo.The overview file is in %BUILDDIR%/changes. goto end ) if "%1" == "linkcheck" ( %SPHINXBUILD% -b linkcheck %ALLSPHINXOPTS% %BUILDDIR%/linkcheck if errorlevel 1 exit /b 1 echo. echo.Link check complete; look for any errors in the above output ^ or in %BUILDDIR%/linkcheck/output.txt. goto end ) if "%1" == "doctest" ( %SPHINXBUILD% -b doctest %ALLSPHINXOPTS% %BUILDDIR%/doctest if errorlevel 1 exit /b 1 echo. echo.Testing of doctests in the sources finished, look at the ^ results in %BUILDDIR%/doctest/output.txt. goto end ) :end astropy-pyvo-b70558c/docs/mivot/000077500000000000000000000000001510533647000166375ustar00rootroot00000000000000astropy-pyvo-b70558c/docs/mivot/_images/000077500000000000000000000000001510533647000202435ustar00rootroot00000000000000astropy-pyvo-b70558c/docs/mivot/_images/filterProfileService.png000066400000000000000000006053031510533647000251070ustar00rootroot00000000000000PNG  IHDR0!QgAMA a cHRMz&u0`:pQ<eXIfMM*JR(iZ0ASCIIScreenshot^ pHYs%%IR$iTXtXML:com.adobe.xmp 2096 1 Screenshot 908 2 144 144 1 P@IDATxրC9%(ADT0(fӽk 1bAAA(9K9ߧV3;avCuu۳CS9N:E(        @ }k@@@@@@@@@@@@@@@2\ ?t@@@@@@@`3       .@C:       0@@@@@@@@  !O@@@@@@@@        @ ᧀ         |@@@@@@@@ rgx@ <)3 g^ҽiv6mL&`) X     Es /<d.k敤}ر dժ]||{qv̟ٝ/[;'Zjf֯+7gkYgU X  H7_)& b2Ks!~;%u4pᡇ&4ڵk `{r@:vCC3    YY`Æ}[e썲lp4(#ZUnN3y^ܧ&z3Ֆn0r\uV@H0bї̟E4yӻHxxv4[E|֭gu7[|gXibOǒ1cI?uyUrm/.&IVeu+o⣏(m\pU-uС*ˮ]Zǝ/_pĩ駋]x9}sN#5ϫxG@@@@ ZvmvE5eN&xܵ밼L6l]z=m(DjaZɫ?6f뱗]VW5ֱW>|\tb}ʕSnLIJyŊ[u{䭷*T(lp}s+{&&N\\^o]52e iuKkڥKNܿ|;te2l|b7of3tHӦ坡F}x08Z,|\w3gBrYeՋ~>u{F]NIKk>[;I| ={{~Q+nh@f4Ǭ9wϿ'vcﶍ'ELY#?Z֮\#z]QK)ڴ. 6  @NI$w#=rodMn,]+%:o].7_Bߟ)׷oS'b;j G':3z&x28,"_(>;]Be7*:cS婧-~Ạ*U^4vGw2 d}f̽^f}?iԨYǽe`XVF/w}H [kz+jbvyO 3     p~hf`ao&>}/ZX&w]Mo.\xoz&ٽ{y?:މ#:vy>M{ѽ!ikmVȴi}P}?fnTuznׅGu77[͹H{Ok}߮G/vBI4X觟˽z#GvvWt]4ǬYG8m;=thy BW;_V7)6C7W`Nuݻ!b@k /mg=2fev8ހ/\8m1.xA;A W\qhV[Kqlz??]ݽ'?*V YG{'kM_CV={Ho8$U_mImw 2d >~R?LFpSr^õr@@@@Ьk ^к^LIzhJn$/hn*#m祗0M==Y 4j4<ɇreo%m'auo p!lHVL.l5G۶eӦRPzL:$&R_xѢE%z?a7pz]59$wKXA ۿR@2@\0DwUMZ2M+Bg"b(ĶmkE)z] [ϖ Ss2fL`Z(\mOThJH#r5JtvsY t󘶦O_ǭB/h]!%4 -&owR=)j@@@@#0kֆ5cЊ#ڟs]GmI3I։5kObxNt-z<ҢY"7u//֛@|I&CҢCsh:\q,E@Р4j<)EZ^MSʗ_^c|؉:,wƍ˙棏N 8@`JCth joatc[ u=־?LpVg&C, @fMq@S9a-O hc/Q"'eL1’*O?.L#9є5Mʯ rC+tL.yKŊ7S}xiY3=}z_7Jϒ?ϐ;2dH~ۆ=v;@@@@U`۶7M=Χ׬-}=4qhvEWЌހjA3+Ͽ;-[V6ECu)=f~27mzSOzوW\+~ǎvnۦͻuzgR_]uUC:w[ZvI'O}jczM<0i{&>Idt(Y)-F jVh>'aI0z`nDwl=58cIfuzA_=Yנ^D}8qUzAqآĐZ[vyG@ =*A&5FNj/ecvkӦA^e&RJbT_@ 72qÆ}v,Y7k帪< r['761_u}NuE#64m2b7EӘEZ4Ԩ\tQMgJ&M}1lIKxśb.Wr]-kohϫwL#    )ۋO|P(vSzh6xA9}?Tu{|>M̍f1/\w ηuj׃5S-v}MxO7!vhޫU+/vzYk,YN|53,FǘtC}߁C[ S2gNz!%ￃH\r?_7X%ψfr.]YgX5 :&W,}e[@2B 4BỤQ{!"ͬ47#uY6l@ /2e E5_TxcV6%Ytif%[3lh o fKE`kI%iC@@@@ 9}_t#G$_SOH넚O롡2Ļw}HC0h0Gm#^YP)6, 'N tס/ңh`7AW nnÆ! 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Example for filter ``GAIA/GAIA3.Grp/AB``: - photometric calibration identifer: ``dmid="_photcal_GAIA_GAIA3_Grvs_AB"`` - filter identifier ``dmid="_filter_GAIA_GAIA3_Grvs_AB"`` - **Coordinate systems**: Can be given either by ``dmid`` or by parameters (see `pyvo.mivot.writer.InstancesFromModels.add_simple_space_frame` and `pyvo.mivot.writer.InstancesFromModels.add_simple_time_frame`). - by ``dmid``: Identifiers are generated by the API when a frame is added in the GLOBALS. (example ``{"dmid": "_spaceframe_spaceRefFrame_equinox_refPosition"}``) - by parameters: The mapping parameters are given as dictionaries as for the mapping (see below) (example ``{"spaceRefFrame": "ICRS", "refPosition": 'BARYCENTER'}``) - ``Mapping``: Mapping of the table data to the property attributes. The fine structure of these dictionaries is specific to each mapped class, but all follow the same pattern. Values specified as strings are considered to be column identifiers, unless the string starts with a '*'. In this case, the stripped string is taken as the literal value. Other value types (numeric or boolean) are all considered as literals. +-------------+---------------------------------+ | **value** | **attribute value** | +=============+=================================+ | "\*M31" | "M31" | +-------------+---------------------------------+ | "ObjName" | value of the column "ObjName" | +-------------+---------------------------------+ | True | True | +-------------+---------------------------------+ | 123456 | 123456 | +-------------+---------------------------------+ | 45.8987 | 45.8987 | +-------------+---------------------------------+ - ``semantics``: Semantic tags (text + vocabulary entry) that apply to the property. +-------------+---------------------------------------------------------+ + **key** | **value** + +=============+=========================================================+ + description + free text description of the property + +-------------+---------------------------------------------------------+ + uri + URI of the vocabulary term to which the property refers + +-------------+---------------------------------------------------------+ + label + vocabulary term to which the property refers + +-------------+---------------------------------------------------------+ All ``semantics`` fields are considered literal values. Add Query origin ---------------- Add the Mango ``QueryOrigin`` instance to the current ``MangoObject``. .. figure:: _images/mangoDataOrigin.png :width: 500 DataOrigin package of Mango. ``QueryOrigin`` is the object grouping together all the components needed to model the origin of the MangoObject. It is always identified with ``dmid="_origin"`` .. code-block:: python builder.add_query_origin(mapping) The detail of the ``mapping`` parameter is given in the `pyvo.mivot.writer.InstancesFromModels.add_query_origin` documentation The ``QueryOrigin`` object can be automatically built from the INFO tags of the VOtable. The success of this operation depends on the way INFO tags are populated. The method below, analyzes the INFO tags and insert the resulting query origin into the annotations. .. code-block:: python builder.extract_data_origin() - This code has been optimized to work with Vizier output. - INFO tags of the VOTable header are analysed to set the ``QueryOrigin`` attributes. - INFO tags of the header of the first resource are analyzed to set the ``DataOrigin`` objects. - The automatic mapping does not work for VOtable joining several tables yet. Add Properties -------------- The main purpose of the ``MangoObject`` is to collect various properties contained in the data row, although synthetic properties (literal value only) can be added as well. - The properties are stored in a container named ``propertyDock``. - During he annotation process, properties are added one by one by specific methods. .. figure:: _images/mangoProperties.png :width: 500 Properties supported by Mango. Add EpochPosition ^^^^^^^^^^^^^^^^^ The ``EpochPosition`` property describes the astrometry of a moving source. .. figure:: _images/mangoEpochPosition.png :width: 500 EpochPosition components of Mango. It handles six parameters (position, proper motion, parallax and radial velocity) valid at a given epoch (``obsDate`` field) with their correlations and errors and the coordinate system for both space and time axis. .. code-block:: python builder.add_epoch_position(frames, mapping, semantics) The detail of the parameters is given with the description of the :py:meth:`pyvo.mivot.writer.InstancesFromModels.add_mango_epoch_position` method. The first parameter (``frames``) specifies both space and time frames. It can either contain the frame dmid-s if they are already installed, for instance from TIMESYS and COOSYS tags, or the mapping elements needed to install them: Both frames can be automatically extracted from the COOSYS and TIMSYS VOTable elements. .. code-block:: python frame_mapping = builder.extract_frames() builder.add_epoch_position(frame_mapping, mapping, semantics) This automatic metedata extraction can be extended to any method parameters. - COOSYS -> coords:SpaceSys - TIMESYS -> coords:TimeSys - FIELD -> mango:EpochPosition .. code-block:: python epoch_position_mapping = builder.extract_epoch_position_parameters() builder.add_mango_epoch_position(**epoch_position_mapping) However, it is advisable to take a look at the automatic mapping, as its content is highly dependent on the VO table metadata, and the risk of incompleteness, mismatches or confusion cannot be ruled out. Add Brightness ^^^^^^^^^^^^^^ The ``Brightness`` binds a flux or a magnitude with an error and a photometric calibration. .. code-block:: python builder.add_mango_brightness(photcal_id, mapping, semantics) The detail of the parameters is given with the :py:meth:`pyvo.mivot.writer.InstancesFromModels.add_mango_brightness` docstring. Add Color ^^^^^^^^^ The ``Color`` binds to a Color index or an hardness ratio value with an error and two photometric filters. .. code-block:: python builder.add_mango_color(filter_ids, mapping, semantics) The detail of the parameters is given with the :py:meth:`pyvo.mivot.writer.InstancesFromModels.add_mango_color` docstring. Reference/API ============= .. automodapi:: pyvo.mivot.writer .. automodapi:: pyvo.mivot.utils .. automodapi:: pyvo.mivot.glossary astropy-pyvo-b70558c/docs/mivot/annoter_tips.rst000066400000000000000000000121241510533647000220760ustar00rootroot00000000000000*************************************************** MIVOT (``pyvo.mivot``): How to annotate data - Tips *************************************************** The annotation process is intended to be performed at the server level. How it is implemented depends on the related DAL protocol, the framework used, and the available metadata. This process likely occurs before the data table is streamed out because the Mivot block must precede the TABLE block. This means it cannot use the table FIELDs, but rather some internal representation. However, the examples below use the FIELDs to demonstrate how an annotation task could work. Map a magnitude to a Mango Brightness property ============================================== Assuming that our dataset has the two following fields, let's map the magnitude in the J band to the ``mango:Brightness`` class. .. code-block:: xml ?(jmag) 2MASS J-band magnitude ?(ejmag) Error on Jmag The MANGO brightness class packs together 3 components: the magnitude, its error and the photometric calibration. Mivot serializations of the photometric calibrations are given by the SVO `Filter Profile Service `_. The first thing to do is to get the FPS identifier of the searched filter (2MASS J in our case). Once the filter is selected, the identifier of the calibration in the desired system can by copied from the `FPS `_ page as shown below. .. image:: _images/filterProfileService.png :width: 500 :alt: FPS screen shot. Now, we can build the mapping parameters and apply them to add the mapping of that property. .. code-block:: python votable = parse("SOME/VOTABLE/PATH") builder = InstancesFromModels(votable, dmid="URAT1") # Add the mapping of a brightness property builder.add_mango_brightness( photcal_id="2MASS/2MASS.J/Vega", mapping={"value": "Jmag", "error": { "class": "PErrorSym1D", "sigma": "e_Jmag"} }, semantics={"description": "magnitude J", "uri": "https://www.ivoa.net/rdf/uat/2024-06-25/uat.html#magnitude", "label": "magnitude"}) # Once all all properties have been mapped, we can # tell the builder to complete the mapping block builder.pack_into_votable() The mapping parameters can be interpreted that way: - The photometric calibration match the ``2MASS/2MASS.J/Vega`` FPS output - The magnitude is given by the FIELD identified by ``Jmag`` - The magnitude error, which is symmetrical, is given by the FIELD identified by ``e_Jmag`` - The optional semantics block of the property (see the MANGO specification) indicates that the property is a magnitude. Map table data to a Mango EpochPosition property ================================================ The mapping of any property follow the same schema but with specific mapping parameters. As it turns out, the EpochPosition can be very complex, with six parameters, their errors and their correlations. If the VOTable fields are available during the annotation process, the API can extract a template of the mapping parameters. .. code-block:: python scs_srv = SCSService(" https://vizier.cds.unistra.fr/viz-bin/conesearch/V1.5/I/239/hip_main") query_result = scs_srv.search( pos=SkyCoord(ra=52.26708 * u.degree, dec=59.94027 * u.degree, frame='icrs'), radius=0.5) builder = InstancesFromModels(query_result.votable, dmid="URAT1") # Get a mapping proposal based on the FIELD UCDs parameters = builder.extract_epoch_position_parameters() DictUtils.print_pretty_json(parameters) The JSON below shows the detected mapping parameters as a dictionary whose structure matches that expected by the API. .. code-block:: json { "frames": { "spaceSys": { "dmid": "_spaceframe_ICRS_BARYCENTER" }, "timeSys": {} }, "mapping": { "longitude": "t1_c8", "latitude": "t1_c9", "parallax": "t1_c11", "pmLongitude": "t1_c12", "pmLatitude": "t1_c13", "errors": { "properMotion": { "class": "PErrorSym2D", "sigma1": "e_pmRA", "sigma2": "e_pmDE" } }, "correlations": {} }, "semantics": { "description": "6 parameters position", "uri": "https://www.ivoa.net/rdf/uat/2024-06-25/uat.html#astronomical-location", "label": "Astronomical location" } } This template can be updated manually or by any other means, and then used to adjust the "EpochPosition" mapping. .. code-block:: python # Add the EpochPosition to the annotations with the modified mapping parameters builder.add_mango_epoch_position(**parameters) builder.pack_into_votable() astropy-pyvo-b70558c/docs/mivot/example.rst000066400000000000000000000245131510533647000210310ustar00rootroot00000000000000.. _mivot-examples: ************************************************************ MIVOT (``pyvo.mivot``): How to use annotated data - Examples ************************************************************ Photometric Properties Readout ============================== This example is based on VOTables provided by the ``XTapDB`` service. This service exposes the slim `4XMM dr14 catalogue `_. It is able to map query responses on the fly to the MANGO data model. The annotation process only annotates the columns that are selected by the query. The following properties are supported: - ``mango:Brightness`` to which fluxes are mapped - ``mango:Color`` to which hardness ratio are mapped - ``mango:EpochPosition`` to which positions and first observation dates are mapped - ``mango:Status`` to which quality flags of the source detections are mapped A specific response format (``application/x-votable+xml;content=mivot``) must be set in order to tell the server to annotate the queried data. (*Please read the comment inside the code snippet carefully to fully understand the process*) .. doctest-skip:: >>> from pyvo.utils import activate_features >>> from pyvo.dal import TAPService >>> from pyvo.mivot.utils.xml_utils import XmlUtils >>> from pyvo.mivot.viewer.mivot_viewer import MivotViewer >>> >>> # Enable MIVOT-specific features in the pyvo library >>> activate_features("MIVOT") >>> >>> service = TAPService('https://xcatdb.unistra.fr/xtapdb') >>> result = service.run_sync( ... """ ... SELECT TOP 5 * FROM "public".mergedentry ... """, ... format="application/x-votable+xml;content=mivot" ... ) >>> >>> # The MIVOT viewer generates the model view of the data >>> m_viewer = MivotViewer(result, resolve_ref=True) >>> >>> # Print out the Mivot annotations read out of the VOtable >>> # This statement is just for a pedagogic purpose (access to a private attribute) >>> XmlUtils.pretty_print(m_viewer._mapping_block) In this first step we just queried the service and we built the object that will process the Mivot annotations. The Mivot block printing output is too long to be listed here. However, the screenshot below shows its shallow structure. .. image:: _images/xtapdbXML.png :width: 500 :alt: Shallow structure of the annotation block. - The GLOBALS section contains all the coordinate systems (in a wide sense). This includes the allowed values for the detection flags and the photometric calibrations. - The TEMPLATES section contains the objects to which table data is mapped. In this example, there is one ``MangoObject`` instance which holds all the mapped properties. At instantiation time, the viewer reads the first data row, which must exist, in order to construct the Python objects that reflect the mapped models and to make the data available through them. .. doctest-skip:: >>> # Discover the Python objects matching the TEMPLATES content >>> for dm_instance in m_viewer.dm_instances; >>> print(dm_instance) The annotations are consumed by this dynamic Python object which leaves are set with the data of the current row. You can explore the structure of this object by using standard object paths as shown below. Now, we can iterate through the table data and retrieve an updated Mivot instance for each row. .. doctest-skip:: >>> mango_object = m_viewer.dm_instances[0] >>> while m_viewer.next_row_view(): >>> if mango_object.dmtype == "mango:MangoObject": >>> print(f"Read source {mango_object.identifier.value} {mango_object.dmtype}") >>> for mango_property in mango_object.propertyDock: >>> if mango_property.dmtype == "mango:Brightness": >>> if mango_property.value.value: >>> mag_value = mango_property.value.value >>> mag_error = mango_property.error.sigma.value >>> phot_cal = mango_property.photCal >>> spectral_location = phot_cal.photometryFilter.spectralLocation >>> mag_filter = phot_cal.identifier.value >>> spectral_location = phot_cal.photometryFilter.spectralLocation >>> mag_wl = spectral_location.value.value >>> sunit = spectral_location.unitexpression.value >>> print(f" flux at {mag_wl} {sunit} (filter {mag_filter}) is {mag_value:.2e} +/- {mag_error:.2e}") Read source 4XMM J054329.3-682106 mango:MangoObject flux at 0.35 keV (filter XMM/EPIC/EB1) is 8.35e-14 +/- 3.15e-14 flux at 0.75 keV (filter XMM/EPIC/EB2) is 3.26e-15 +/- 5.45e-15 flux at 6.1 keV (filter XMM/EPIC/EB8) is 8.68e-14 +/- 6.64e-14 ... ... The same code can easily be connected with matplotlib to plot SEDs as shown below (code not provided). .. image:: _images/xtapdbSED.png :width: 500 :alt: XMM SED It is to be noted that the current table row keeps available through the Mivot viewer. .. code-block:: python row = m_viewer.table_row .. important:: The code shown in this example can be used with any VOTable that has data mapped to MANGO. It contains no features specific to the XtatDB output. This is exactly the purpose of the MIVOT/MANGO abstraction layer: to allow the same processing to be applied to any annotated VOTable. The same client code can be reused in many places with many datasets, provided they are annotated. EpochPosition Property Readout ============================== This example is based on a VOtable resulting on a Vizier cone search. This service maps the data to the ``EpochPosition`` MANGO property, which models a full source's astrometry at a given date. .. warning:: At the time of writing (Q1 2025), Vizier only mapped positions and proper motions (when available), and the definitive epoch class had not been adopted. Therefore, this implementation may differ a little bit from the standard model. Vizier does not wrap the source properties in a MANGO object, but rather lists them in the Mivot *TEMPLATES*. The annotation reader supports both designs. In the first step below, we run a standard cone search query by using the standard PyVO API. Once the query is finished, we can get a reference to the object that will process the Mivot annotations. .. doctest-skip:: >>> import astropy.units as u >>> from astropy.coordinates import SkyCoord >>> from pyvo.dal.scs import SCSService >>> from pyvo.utils import activate_features >>> from pyvo.mivot.viewer.mivot_viewer import MivotViewer >>> from pyvo.mivot.features.sky_coord_builder import SkyCoordBuilder >>> >>> # Enable MIVOT-specific features in the pyvo library >>> activate_features("MIVOT") >>> >>> scs_srv = SCSService("https://vizier.cds.unistra.fr/viz-bin/conesearch/V1.5/I/239/hip_main") >>> >>> query_result = scs_srv.search( ... pos=SkyCoord(ra=52.26708 * u.degree, dec=59.94027 * u.degree, frame='icrs'), ... radius=0.5) >>> >>> # The MIVOT viewer generates the model view of the data >>> m_viewer = MivotViewer(query_result, resolve_ref=True) We can now discover which data model classes the data is mapped to. .. doctest-skip:: >>> # Get a set of Python objects matching the TEMPLATES content and >>> # which leaves are set with the values of the first row >>> for dm_instance in m_viewer.dm_instances; >>> print(dm_instance) The first instance can be accessed by the ``m_viewer.dm_instance`` getter. This is a simple shorcut aiming at simplifying the code. .. doctest-skip:: >>> dm_instance = m_viewer.dm_instance >>> print(dm_instance.dmtype) mango:EpochPosition We can also provide a complete instance representation that includes all fields in the entire hierarchy. .. doctest-skip:: >>> # Print out the json serialization of the Python object >>> print(repr(dm_instance)) { "dmtype": "mango:EpochPosition", "longitude": { "dmtype": "ivoa:RealQuantity", "value": 51.64272638, "unit": "deg" }, "latitude": { "dmtype": "ivoa:RealQuantity", "value": 60.28156089, "unit": "deg" }, "pmLongitude": { "dmtype": "ivoa:RealQuantity", "value": 13.31, "unit": "mas/yr" }, "pmLatitude": { "dmtype": "ivoa:RealQuantity", "value": -23.43, "unit": "mas/yr" }, "epoch": { "dmtype": "ivoa:RealQuantity", "value": 1991.25, "unit": "yr" }, "parallax": { "dmtype": "ivoa:RealQuantity", "value": 5.12, "unit": "mas" }, "spaceSys": { "dmtype": "coords:SpaceSys", "dmid": "SpaceFrame_ICRS", "dmrole": "mango:EpochPosition.spaceSys", "frame": { "dmrole": "coords:PhysicalCoordSys.frame", "dmtype": "coords:SpaceFrame", "spaceRefFrame": { "dmtype": "ivoa:string", "value": "ICRS" } } } } The reader can transform ``EpochPosition`` instances into ``SkyCoord`` instances. These can then be used for further scientific processing. .. doctest-skip:: >>> while m_viewer.next_row_view(): >>> mango_property = m_viewer.dm_instance >>> if mango_property.dmtype == "mango:EpochPosition": >>> scb = SkyCoordBuilder(mango_property) >>> # do whatever process with the SkyCoord object >>> print(scb.build_sky_coord()) .. important:: Similar to the previous example, this code can be used with any VOTable with data mapped to MANGO. It contains no features specific to the Vizier output. It avoids the need for users to build SkyCoord objects by hand from VOTable fields, which is never an easy task. Homework ======== Simbad has released (Q3 2025) an annotated version of its Cone Search. It's a good case to exercise this API. .. code-block:: python SERVER = "https://simbad.cds.unistra.fr/cone?" VERB = 2 RA = 269.452076* u.degree DEC = 4.6933649* u.degree SR = 0.1* u.degree MAXREC = 100 RESPONSEFORMAT = "mivot" scs_srv = SCSService(SERVER) query_result = scs_srv.search( pos=SkyCoord(ra=RA, dec=DEC, frame='icrs'), radius=SR, verbosity=VERB, RESPONSEFORMAT=RESPONSEFORMAT, MAXREC=MAXREC) *The next section provides some tips to use the API documented in the* :ref:`annoter page `. astropy-pyvo-b70558c/docs/mivot/index.rst000066400000000000000000000054441510533647000205070ustar00rootroot00000000000000********************** MIVOT (``pyvo.mivot``) ********************** This module contains the new feature of handling model annotations in VOTable. Astropy version >= 6.0 is required. Introduction ============ .. pull-quote:: Model Instances in VOTables (MIVOT) defines a syntax to map VOTable data to any model serialized in VO-DML. The annotation operates as a bridge between the data and the model. It associates the column/param metadata from the VOTable to the data model elements (class, attributes, types, etc.) [...]. The data model elements are grouped in an independent annotation block complying with the MIVOT XML syntax. This annotation block is added as an extra resource element at the top of the VOTable result resource. The MIVOT syntax allows to describe a data structure as a hierarchy of classes. It is also able to represent relations and composition between them. It can also build up data model objects by aggregating instances from different tables of the VOTable. - Model Instances in VOTables is a VO `standard `_ - Requires Astropy>=6.0 - ``pyvo.mivot`` is a prototype feature which must be activated with ``activate_features("MIVOT")`` Implementation Scope ==================== This implementation is totally model-agnostic. - It does not operate any validation against specific data models. - It just requires the annotation syntax being compliant with the standards. However, many data samples used for the test suite and provided as examples are based on the ``EpochPropagation`` class of the ``Mango`` data model that is still a draft. This class collects all the parameters we need to compute the epoch propagation of moving sky objects. Some of the examples have been provided by a special end-point of the Vizier cone-search service (https://vizier.cds.unistra.fr/viz-bin/conesearch/V1.5/) that maps query results to this model. .. image:: _images/mangoEpochPosition.png :width: 500 :alt: EpochPropagation class used to validate this api. It is to be noted that the Vizier service does not annotate errors at the time of writing (Q1 2024) The implementation uses the Astropy read/write annotation module (6.0+), which allows to get (and set) Mivot blocks from/into VOTables as an XML element serialized as a string. .. pull-quote:: Not all MIVOT features are supported by this implementation, which mainly focuses on the epoch propagation use case: - ``JOIN`` features are not supported. - ``TEMPLATES`` with more than one ``INSTANCE`` not supported. Using the MIVOT package ======================= The ``pyvo.mivot`` module can be used to either read or build annotations. .. toctree:: :maxdepth: 2 viewer annoter writer example annoter_tips astropy-pyvo-b70558c/docs/mivot/viewer.rst000066400000000000000000000223211510533647000206720ustar00rootroot00000000000000****************************************************** MIVOT (``pyvo.mivot``): Annotation Viewer - Public API ****************************************************** Introduction ============ .. pull-quote:: Model Instances in VOTables (MIVOT) defines a syntax to map VOTable data to any model serialized in VO-DML. The annotation operates as a bridge between the data and the model. It associates the column/param metadata from the VOTable to the data model elements (class, attributes, types, etc.) [...]. The data model elements are grouped in an independent annotation block complying with the MIVOT XML syntax. This annotation block is added as an extra resource element at the top of the VOTable result resource. The MIVOT syntax allows to describe a data structure as a hierarchy of classes. It is also able to represent relations and composition between them. It can also build up data model objects by aggregating instances from different tables of the VOTable (get more in :doc:`index`). Using the API ============= .. attention:: The module based on XPath queries and allowing to browse the XML annotations (``viewer.XmlViewer``) has been removed from version 1.8 Integrated Readout ------------------ The ``ModelViewer`` module manages access to data mapped to a model through dynamically generated objects (``MivotInstance`` class). ``MivotInstance`` is a generic class that does not refer to any specific model. The mapped class of a particular instance is stored in its ``dmtype`` attribute. These objects can be used as standard Python objects, with their fields representing elements of the model instances. The first step is to instanciate a viewer that will provide the API for browsing annotations. The viewer can be built from a VOTable file path, a parsed VOtable (``VOTableFile`` object), or a ``DALResults`` instance. .. attention:: The code below only works with ``astropy 6+`` .. doctest-skip:: >>> import astropy.units as u >>> from astropy.coordinates import SkyCoord >>> from pyvo.dal.scs import SCSService >>> from pyvo.utils.prototype import activate_features >>> from pyvo.mivot.viewer.mivot_viewer import MivotViewer >>> >>> scs_srv = SCSService("https://vizier.cds.unistra.fr/viz-bin/conesearch/V1.5/I/239/hip_main") >>> m_viewer = MivotViewer( ... scs_srv.search( ... pos=SkyCoord(ra=52.26708 * u.degree, dec=59.94027 * u.degree, ... frame='icrs'), ... radius=0.1 ... ), ... resolve_ref=True ... ) In this example, the query result is mapped to the ``mango:EpochPosition`` class, but users do not need to know this in advance, since the API provides tools to discover the mapped models. .. doctest-skip:: >>> if m_viewer.get_models().get("mango"): >>> print("data is mapped to the MANGO data model") data is mapped to the MANGO data model We can also check which datamodel classes the data is mapped to. .. doctest-skip:: >>> mivot_instances = m_viewer.dm_instances >>> print(f"data is mapped to {len(mivot_instances)} model class(es)") data is mapped to 1 model class(es) .. doctest-skip:: >>> mivot_instance = m_viewer.dm_instances[0] >>> print(f"data is mapped to the {mivot_instance.dmtype} class") data is mapped to the mango:EpochPosition class At this point, we know that the data has been mapped to the ``MANGO`` model, and that the data rows can be interpreted as instances of the ``mango:EpochPosition``. .. doctest-skip:: >>> print(mivot_instance.spaceSys.frame.spaceRefFrame.value) ICRS .. doctest-skip:: >>> while m_viewer.next_row_view(): >>> print(f"position: {mivot_instance.latitude.value} {mivot_instance.longitude.value}") position: 59.94033461 52.26722684 .... .. important:: Coordinate systems are usually mapped in the GLOBALS MIVOT block. This allows them to be referenced from any other MIVOT element. The viewer resolves such references when the constructor flag ``resolve_ref`` is set to ``True``. In this case the coordinate system instances are copied into their host elements. The code below shows how to access GLOBALS instances (one in this example) independently of the mapped data. .. doctest-skip:: >>> for globals_instance in m_viewer.dm_globals_instances: >>> print(globals_instance) We can also provide a complete instance representation that includes all fields in the entire hierarchy. .. doctest-skip:: >>> print(repr(globals_instance)) { "dmtype": "coords:SpaceSys", "dmid": "SpaceFrame_ICRS", "frame": { "dmrole": "coords:PhysicalCoordSys.frame", "dmtype": "coords:SpaceFrame", "spaceRefFrame": { "dmtype": "ivoa:string", "value": "ICRS" } } } As you can see from the previous examples, model leaves (class attributes) are complex types. This is because they contain additional metadata as well as values: - ``value`` : attribute value - ``dmtype`` : attribute type such as defined in the Mivot annotations - ``unit`` (if any) : attribute unit such as defined in the Mivot annotations Per-Row Readout --------------- This annotation schema can also be applied to table rows read using the `astropy.io.votable` API outside of the ``MivotViewer`` context. .. doctest-skip:: >>> votable = parse(path_to_votable) >>> table = votable.resources[0].tables[0] >>> # init the viewer on the first resource of the votable (default) >>> mivot_viewer = MivotViewer(votable) >>> mivot_object = mivot_viewer.dm_instance >>> # and feed it with the numpy table row >>> for rec in table.array: >>> # apply the mapping to current row >>> mivot_object.update(rec) >>> # show that the model retrieve the correct values >>> # ... or do whatever you want >>> assert rec["RAICRS"] == mivot_object.longitude.value >>> assert rec["DEICRS"] == mivot_object.latitude.value Mivot/Mango as a Direct Gateway from Data to Astropy SkyCoord ------------------------------------------------------------- A simple way to get the most out of annotations is to use them to directly create Astropy objects, without having to parse the metadata, whether it comes from the annotation or the VOTable. .. doctest-skip:: >>> from pyvo.mivot.features.sky_coord_builder import SkyCoordBuilder >>> >>> m_viewer.rewind() >>> while m_viewer.next_row_view(): >>> sky_coord_builder = SkyCoordBuilder(mivot_instance) >>> sky_coord = sky_coord_builder.build_sky_coord() >>> print(sky_coord) In the above example, we assume that the mapped model can be used as a ``SkyCoord`` precursor. If this is not the case, an error is raised. .. important:: In the current implementation, the only functioning gateway connects ``Mango:EpochPosition`` objects with the ``SkyCoord`` class. The ultimate objective is to generalize this mechanism to any property modeled by Mango, and eventually to other IVOA models, thereby realizing the full potential of a comprehensive and interoperable mapping framework. Class Generation in a Nutshell ------------------------------ MIVOT reconstructs model structures with 3 elements: - ``INSTANCE`` for the objects - ``ATTRIBUTE`` for the attributes - ``COLLECTION`` for the elements with a cardinality greater than 1 The role played by each of these elements in the model hierarchy is defined by its ``@dmrole`` XML attribute. Types of both ``INSTANCE`` and ``ATTRIBUTE`` are defined by their ``@dmtype`` XML attributes. ``MivotInstance`` classes are built by following MIVOT annotation structure: - ``INSTANCE`` are represented by Python classes - ``ATTRIBUTE`` are represented by Python class fields - ``COLLECTION`` are represented by Python lists ([]) ``@dmrole`` and ``@dmtype`` cannot be used as Python keywords as such, because they are built from VO-DML identifiers, which have the following structure: ``model:a.b``. - Only the last part of the path is kept for attribute names. - For class names, forbidden characters (``:`` or ``.``) are replaced with ``_``. - Original ``@dmtype`` are kept as attributes of generated Python objects. - If the end-user is unaware of the class mapped by the actual ``MivotInstance``, if can can explore it by using its class dictionary ``MivotInstance.__dict__`` (see the Python `data model `_). .. doctest-skip:: >>> mivot_instance = mivot_viewer.dm_instance >>> print(mivot_instance.__dict__.keys()) dict_keys(['dmtype', 'longitude', 'latitude', 'pmLongitude', 'pmLatitude', 'epoch', 'Coordinate_coordSys']) .. doctest-skip:: >>> print(mivot_instance.Coordinate_coordSys.__dict__.keys()) dict_keys(['dmtype', 'dmid', 'dmrole', 'spaceRefFrame']) .. doctest-skip:: >>> print(mivot_instance.Coordinate_coordSys.spaceRefFrame.__dict__.keys()) dict_keys(['dmtype', 'value', 'unit', 'ref']) *More examples can be found* :ref:`here `. Reference/API ============= .. automodapi:: pyvo.mivot.viewer astropy-pyvo-b70558c/docs/mivot/writer.rst000066400000000000000000000211311510533647000207030ustar00rootroot00000000000000*************************************************** MIVOT (``pyvo.mivot``): Annotation Writer - Dev API *************************************************** Introduction ============ .. pull-quote:: Model Instances in VOTables (MIVOT) defines a syntax to map VOTable data to any model serialized in VO-DML. The annotation operates as a bridge between the data and the model. It associates the column/param metadata from the VOTable to the data model elements (class, attributes, types, etc.) [...]. The data model elements are grouped in an independent annotation block complying with the MIVOT XML syntax. This annotation block is added as an extra resource element at the top of the VOTable result resource. The MIVOT syntax allows to describe a data structure as a hierarchy of classes. It is also able to represent relations and composition between them. It can also build up data model objects by aggregating instances from different tables of the VOTable (get more in :doc:`index`). - Model Instances in VOTables is a VO `standard `_ - Requires Astropy>=6.0 - ``pyvo.mivot`` is a prototype feature which must be activated with ``activate_features("MIVOT")`` Use the API =========== Build Annotation Object per Object ---------------------------------- This documentation is intended for developers of data model classes who want to map them to VOTables and not for end users. A future version will allow end users to create annotations with ready-to-use data model building blocks. Creating annotations consists of 3 steps: #. Create individual instances (INSTANCE) using the ``MivotInstance`` class: objects are built attribute by attribute. These components can then be aggregated into more complex objects following the structure of the mapped model(s). #. Wrap the annotations with the ``MivotAnnotations`` class: declare to the annotation builder the models used, and place individual instances at the right place (TEMPLATES or GLOBALS). #. Insert the annotations into a VOtable by using the Astropy API (wrapped in the package logic). The annotation builder does not check whether the XML conforms to any particular model. It simply validates it against the MIVOT XML Schema if the ``xmlvalidator`` package if is installed. The example below shows a step-by-step construction of a MIVOT block mapping a position with its error (as defined in the ``MANGO`` draft) and its space coordinate system (as defined in the ``Coordinates`` model and imported by ``MANGO``). Build the empty MIVOT Block ^^^^^^^^^^^^^^^^^^^^^^^^^^^ - The MIVOT block consists of: - A process status - A list of mapped models - A list of globals, which are objects not associated with VOTable data and that can be shared by any other MIVOT instance. - A list of templates, which are objects that are connected to VOTable data and whose leaf values change from one row to another. - ``MIVOT`` is still an experimental feature which must be activated .. code-block:: python from astropy.io.votable import parse from pyvo.utils import activate_features from pyvo.mivot.utils.exceptions import MappingException from pyvo.mivot.utils.dict_utils import DictUtils from pyvo.mivot.writer.annotations import MivotAnnotations from pyvo.mivot.writer.instance import MivotInstance from pyvo.mivot.viewer.mivot_viewer import MivotViewer activate_features("MIVOT") mivot_annotations = MivotAnnotations() mivot_annotations.add_model( "ivoa", "https://www.ivoa.net/xml/VODML/IVOA-v1.vo-dml.xml" ) mivot_annotations.add_model( "coords", "https://www.ivoa.net/xml/STC/20200908/Coords-v1.0.vo-dml.xml" ) mivot_annotations.add_model( "mango", "https://raw.githubusercontent.com/lmichel/MANGO/draft-0.1/vo-dml/mango.vo-dml.xml", ) mivot_annotations.set_report(True, "PyVO Tuto") Build the Coordinate System Object ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ The space coordinate system is made of a space frame and a reference position, both wrapped in a ``coords:SpaceSys`` object (see the `Coordinates `_ data model). The time coordinate system is made of a time frame and a reference position, both wrapped in a ``coords:TimeSys`` object. - Each of these objects have a ``dmid`` which will be used as a reference by the ``EpochPosition`` instance. .. code-block:: python mivot_annotations.add_simple_space_frame(ref_frame="FK5", ref_position="BARYCENTER", equinox="J2000", dmid="_spacesys" ) mivot_annotations.add_simple_time_frame(ref_frame="TCB", ref_position="BARYCENTER", dmid="_timesys" ) Build the EpochPosition Object ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - In this example we only use the position attributes (RA/DEC) of the ``EpochPosition`` class. - The reference to the space coordinate system is added at the end. - The ``ref`` XML attributes reference columns that must be used to set the model attributes. Their values depend on the VOTable to be mapped. .. code-block:: python from astropy.io.votable import parse from pyvo.utils import activate_features from pyvo.mivot.utils.exceptions import MappingException from pyvo.mivot.utils.dict_utils import DictUtils from pyvo.mivot.writer.annotations import MivotAnnotations from pyvo.mivot.writer.instance import MivotInstance from pyvo.mivot.viewer.mivot_viewer import MivotViewer activate_features("MIVOT") position = MivotInstance(dmtype="mango:EpochPosition") position.add_attribute( dmtype="ivoa:RealQuantity", dmrole="mango:EpochPosition.longitude", unit="deg", ref="RAICRS", ) position.add_attribute( dmtype="ivoa:RealQuantity", dmrole="mango:EpochPosition.latitude", unit="deg", ref="DEICRS", ) position.add_reference( dmref="_spacesys", dmrole="mango:EpochPosition.spaceSys" ) Build the Position Error ^^^^^^^^^^^^^^^^^^^^^^^^ - We assume that the position error is the same on both axes without correlation. In terms of MANGO error, this corresponds to a 2x2 diagonal error matrix with two equal coefficients. - Finally, the error is added as a component of the ``EpochPosition`` instance. .. code-block:: python epoch_position_error = MivotInstance( dmtype="mango:EpochPositionErrors", dmrole="mango:EpochPosition.errors" ) position_error = MivotInstance( dmtype="mango:error.ErrorCorrMatrix", dmrole="mango:EpochPositionErrors.position", ) position_error.add_attribute( dmtype="ivoa:RealQuantity", dmrole="mango:error.ErrorCorrMatrix.sigma1", unit="arcsec", ref="sigm", ) position_error.add_attribute( dmtype="ivoa:RealQuantity", dmrole="mango:error.ErrorCorrMatrix.sigma2", unit="arcsec", ref="sigm", ) epoch_position_error.add_instance(position_error) position.add_instance(epoch_position_error) Pack the MIVOT Block ^^^^^^^^^^^^^^^^^^^^ - Pack the model instances previously built. - The latest step (build_mivot_block) includes a validation of the MIVOT syntax that works only if the ``xmlvalidator`` package has been installed. .. code-block:: python mivot_annotations.add_templates(position) mivot_annotations.build_mivot_block() Insert the MIVOT Block in a VOTable ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - This straightforward step is based on the Astropy VOTable API. - Annotations are stored in-memory (in the parsed VOtable). - The mapping can be tested with the ``MivotViewer`` API (see the :doc:`viewer`) - The VOtable must be explicitly saved on disk if needed. .. code-block:: python from astropy.io.votable import parse votable = parse(votable_path) mivot_annotations.insert_into_votable(votable) mivot_viewer = MivotViewer(votable) mapped_instance = mivot_viewer.dm_instance votable.to_xml("pyvo-tuto.xml") Validate the annotations against the models ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - This action requires the ``mivot-validatorXXX`` package to be installed. - It validates the mapped classes against the models they come from. .. code-block:: shell % pip install mivot-validator % mivot-instance-validate pyvo-tuto.xml ... Valid if no error message ... astropy-pyvo-b70558c/docs/nitpick-exceptions000066400000000000000000000010131510533647000212370ustar00rootroot00000000000000# Deprecated API py:class pyvo.dal.vosi.AvailabilityMixin # Non-public API classes. We should probably remove references to them altogether py:obj pyvo.io.uws.tree.Jobs py:class pyvo.dal.vosi.CapabilityMixin py:class pyvo.dal.vosi.EndpointMixin py:class pyvo.dal.adhoc.AxisParamMixin py:class pyvo.dam.obscore.ObsCoreMetadata py:obj pyvo.registry.regtap.Interface # There is no public API docs for this, yet it's useful to leave the reference in py:obj pyvo.io.vosi.exceptions py:class pyvo.dal.exceptions.PyvoUserWarning astropy-pyvo-b70558c/docs/registry/000077500000000000000000000000001510533647000173515ustar00rootroot00000000000000astropy-pyvo-b70558c/docs/registry/index.rst000066400000000000000000000656501510533647000212260ustar00rootroot00000000000000.. _pyvo-registry: ************************** Registry (`pyvo.registry`) ************************** This is an interface to the Virtual Observatory Registry, a collection of metadata records of the VO's “resources” (“resource” is jargon for: a collection of datasets, usually with a service in front of it). For a wider background, see `2014A&C.....7..101D`_ for the general architecture and `2015A&C....10...88D`_ for the search interfaces. .. _2014A&C.....7..101D: https://ui.adsabs.harvard.edu/abs/2014A%26C.....7..101D/abstract .. _2015A&C....10...88D: https://ui.adsabs.harvard.edu/abs/2015A%26C....10...88D/abstract There are two fundamental modes of searching in the VO: (a) Data discovery: This is when you are looking for some sort of data collection based on its metadata; a classical example would be something like “I need redshifts of supernovae”. (b) Service discovery: This is what you need when you want to query all services of a certain kind (e.g., „all spectral services claiming to have infrared data“), which in turn is the basis of all-VO *dataset* discovery (“give me all infrared spectra of 3C273”) Both modes are supported by this module. .. _registry-basic-interface: Basic interface =============== The main interface for the module is :py:meth:`pyvo.registry.search`; the examples below assume: .. doctest:: >>> from pyvo import registry This function accepts one or more search constraints, which can be either specified using constraint objects as positional arguments or as keyword arguments. The following constraints are available: * :py:class:`~pyvo.registry.Freetext` (``keywords``): one or more freetext words, mached in the title, description or subject of the resource. * :py:class:`~pyvo.registry.Servicetype` (``servicetype``): constrain to one of tap, ssa, sia1, sia2, conesearch (or full ivoids for other service types). This is the constraint you want to use for service discovery. * :py:class:`~pyvo.registry.UCD` (``ucd``): constrain by one or more UCD patterns; resources match when they serve columns having a matching UCD (e.g., ``phot.mag;em.ir.%`` for “any infrared magnitude”). * :py:class:`~pyvo.registry.UAT` (``uat``): constrain by concepts from the IVOA Unified Astronomy Thesaurus http://www.ivoa.net/rdf/uat. * :py:class:`~pyvo.registry.Waveband` (``waveband``): one or more terms from the vocabulary at http://www.ivoa.net/rdf/messenger giving the rough spectral location of the resource. * :py:class:`~pyvo.registry.Author` (``author``): an author (“creator”). This is a single SQL pattern, and given the sloppy practices in the VO for how to write author names, you should probably generously use wildcards. * :py:class:`~pyvo.registry.Datamodel` (``datamodel``): one of obscore, epntap, or regtap: only return TAP services having tables of this kind. * :py:class:`~pyvo.registry.Ivoid` (``ivoid``): exactly match a single IVOA identifier (that is, in effect, the primary key in the VO). * :py:class:`~pyvo.registry.Spatial` (``spatial``): match resources covering, enclosed or overlapping a certain geometry (point, circle, polygon, or MOC). *RegTAP 1.2 Extension* * :py:class:`~pyvo.registry.Spectral` (``spectral``): match resources covering a certain part of the spectrum (usually, but not limited to, the electromagnetic spectrum). *RegTAP 1.2 Extension* * :py:class:`~pyvo.registry.Temporal` (``temporal``): match resources covering a some point or interval in time. *RegTAP 1.2 Extension* Multiple constraints are combined conjunctively (”AND”). Constraints marked with *RegTAP 1.2 Extension* are not available on all IVOA RegTAP services (they are on pyVO's default RegTAP endpoint, though). Also refer to the class documentation for further caveats on these. Hence, to look for for resources with UV data mentioning white dwarfs you could either run: .. doctest-remote-data:: >>> resources = registry.search(keywords="white dwarf", waveband="UV") or: .. doctest-remote-data:: >>> resources = registry.search(registry.Freetext("white dwarf"), ... registry.Waveband("UV")) or a mixture between the two. Constructing using explicit constraints is generally preferable with more complex queries. An advantage of using explicit constraints is that you can pass additional parameters to the constraints. For instance, the UAT constraint can optionally expand your keyword to narrower or wider concepts. When looking for resources talking about Cepheids of all kinds, you can thus say: .. doctest-remote-data:: >>> resources = registry.search( ... registry.UAT("cepheid-variable-stars", expand_down=3)) There is no way to express this using keyword arguments. However, where the constraints accept multiple equivalent arguments, you can pass in sequences to the keyword arguments; for instance: .. doctest-remote-data:: >>> resources = registry.search(registry.Waveband("Radio", "Millimeter"), ... registry.Author("%Miller%")) is equivalent to: .. doctest-remote-data:: >>> resources = registry.search(waveband=["Radio", "Millimeter"], ... author='%Miller%') There is also :py:meth:`~pyvo.registry.get_RegTAP_query`, accepting the same arguments as :py:meth:`pyvo.registry.search`. This function simply returns the ADQL query that search would execute. This is may be useful to construct custom RegTAP queries, which could then be executed on TAP services implementing the ``regtap`` data model. Data Discovery ============== In data discovery, you look for resources matching your constraints and then figure out in a second step how to query them. For instance, to look for resources giving redshifts in connection with supernovae, you would say: .. doctest-remote-data:: >>> resources = registry.search(registry.UCD("src.redshift"), ... registry.Freetext("AGB")) After that, ``resources`` is an instance of :py:class:`~pyvo.registry.RegistryResults`, which you can iterate over. In interactive data discovery, however, it is usually preferable to use the ``to_table`` method for an overview of the resources available: .. doctest-remote-data:: >>> resources.to_table() # doctest: +IGNORE_OUTPUT ivoid ... ... object ... --------------------------------- ... ivo://cds.vizier/j/a+a/392/1 ... ivo://cds.vizier/j/a+a/566/a95 ... ivo://cds.vizier/j/aj/151/146 ... ivo://cds.vizier/j/apj/727/14 ... ... And to look for tap resources *in* a specific cone, you would do .. doctest-remote-data:: >>> from astropy.coordinates import SkyCoord >>> registry.search(registry.Freetext("Wolf-Rayet"), ... registry.Spatial((SkyCoord("23d +3d"), 3), intersect="enclosed")) # doctest: +IGNORE_OUTPUT ivoid ... ... object ... ----------------------------------- ... ivo://cds.vizier/j/a+a/688/a104 ... ivo://cds.vizier/j/apj/938/73 ... ivo://cds.vizier/j/other/pasa/41.84 ... Astropy Quantities are also supported for the radius angle of a SkyCoord-defined circular region: .. doctest-remote-data:: >>> from astropy import units as u >>> registry.search(registry.Freetext("Wolf-Rayet"), ... registry.Spatial((SkyCoord("23d +3d"), 180*u.Unit('arcmin')), intersect="enclosed")) # doctest: +IGNORE_OUTPUT ivoid ... ... object ... ----------------------------------- ... ivo://cds.vizier/j/a+a/688/a104 ... ivo://cds.vizier/j/apj/938/73 ... ivo://cds.vizier/j/other/pasa/41.84 ... Where ``intersect`` can take the following values: * 'covers' is the default and returns resources that cover the geometry provided, * 'enclosed' is for services in the given region, * 'overlaps' returns services intersecting with the region. The idea is that in notebook-like interfaces you can pick resources by title, description, and perhaps the access mode (“interface”) offered. In the list of interfaces, you will sometimes spot an ``#aux`` after a standard id; this is a minor VO technicality that you can in practice ignore. For instance, you can simply construct :py:class:`~pyvo.dal.TAPService`-s from ``tap#aux`` interfaces. Once you have found a resource you would like to query, you can pick it by index; however, this will not be stable across multiple executions. Hence, RegistryResults also supports referencing results by short name, which is the style we recommend. Using full ivoids is possible, too, and safer because these are guaranteed to be unique (which short names are not), but it is rather clunky, and in the real VO short name collisions should be very rare. Use the ``get_service`` method of :py:class:`~pyvo.registry.RegistryResource` to obtain a DAL service object for a particular sort of interface. To query the fourth match using simple cone search, you would thus say: .. doctest-remote-data:: >>> voresource = resources["J/ApJ/727/14"] >>> voresource.get_service(service_type="conesearch").search(pos=(257.41, 64.345), sr=0.01) _r recno f_ID ID RAJ2000 ... SED DR7 Sloan Simbad deg ... float64 int32 str1 str18 float64 ... str3 str3 str5 str6 -------- ----- ---- ------------------ --------- ... ---- ---- ----- ------ 0.000618 1 P 170938.52+642044.1 257.41049 ... SED DR7 Sloan Simbad This method will raise an error if there is more than one service of the desired type. If you know for sure that all declared conesearch will be the same, you can safely use ``get_service(service_type='conesearch', lax=True)`` that will return the first conesearch it finds. However some providers provide multiple services of the same type -- for example in VizieR you'll find one conesearch per table. In this case, you can inspect the available `~pyvo.registry.regtap.Interface` to services with `~pyvo.registry.RegistryResource.list_interfaces`. Then, you can refine your instructions to `~pyvo.registry.RegistryResource.get_service` with a keyword constraint on the description ``get_service(service_type='conesearch', keyword='sncat')``. .. doctest-remote-data:: >>> for interface in voresource.list_interfaces(): ... print(interface) Interface(type='tap#aux', description='', url='https://tapvizier.cds.unistra.fr/TAPVizieR/tap') Interface(type='vr:webbrowser', description='', url='https://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/ApJ/727/14') Interface(type='conesearch', description='Cone search capability for table J/ApJ/727/14/table2 (AKARI IRC 3-24{mu}m, and Spitzer MIPS 24/70{mu}m photometry of Abell 2255 member galaxies)', url='https://vizier.cds.unistra.fr/viz-bin/conesearch/J/ApJ/727/14/table2?') Or construct the service object directly from the list of interfaces with: .. doctest-remote-data:: >>> voresource.list_interfaces()[0].to_service() TAPService(baseurl : 'https://tapvizier.cds.unistra.fr/TAPVizieR/tap', description : '') The list of interfaces can also be filtered to interfaces corresponding to services of a specific service type: .. doctest-remote-data:: >>> voresource.list_interfaces("tap") [Interface(type='tap#aux', description='', url='https://tapvizier.cds.unistra.fr/TAPVizieR/tap')] To operate TAP services, you need to know what tables make up a resource; you could construct a TAP service and access its ``tables`` attribute, but you can take a shortcut and call a RegistryResource's ``get_tables`` method for a rather similar result: .. doctest-remote-data:: >>> tables = resources["J/ApJ/727/14"].get_tables() # doctest: +IGNORE_WARNINGS >>> list(tables.keys()) ['J/ApJ/727/14/table2'] >>> sorted(c.name for c in tables["J/ApJ/727/14/table2"].columns) ['[24]', '[70]', 'dej2000', 'dr7', 'e_[24]', 'e_[70]', 'e_l15', 'e_l24', 'e_n3', 'e_n4', 'e_s11', 'e_s7', 'f_id', 'gmag', 'id', 'imag', 'l15', 'l24', 'n3', 'n4', 'raj2000', 'recno', 'rmag', 's11', 's7', 'sed', 'simbad', 'sloan', 'umag', 'y03', 'z', 'zmag'] In this case, this is a table with one of VizieR's somewhat funky names. To run a TAP query based on this metadata, do something like: .. doctest-remote-data:: >>> resources["J/ApJ/727/14"].get_service(service_type="tap#aux").run_sync( ... 'SELECT id, z FROM "J/ApJ/727/14/table2" WHERE z>0.09 and umag<18') ID z object float64 ------------------ ------- 171319.90+635428.0 0.09043 A special sort of access mode is ``web``, which represents some facility related to the resource that works in a web browser. You can ask for a “service” for it, too; you will then receive an object that has a ``search`` method, and when you call it, a browser window should open with the query facility (this uses python's ``webbrowser`` module): .. doctest-skip:: >>> resources["J/ApJ/727/14"].get_service(service_type="web").search() # doctest: +IGNORE_OUTPUT Note that for interactive data discovery in the VO Registry, you may also want to have a look at Aladin's discovery tree, TOPCAT's VO menu, or at services like WIRR_ in your web browser. .. _WIRR: https://dc.g-vo.org/WIRR Service Discovery ================= Service discovery is what you want typically in connection with a search for datasets, as in “Give me all infrared spectra of Bellatrix“. To do that, you want to run the same DAL query against all the services of a given sort. This means that you will have to include a ``servicetype`` constraint such that all resources in your registry results can be queried in the same way. When that is the case, you can use each RegistryResource's ``service`` attribute, which contains a DAL service instance. The opening example could be written like this: .. This one is too expensive to run as part of CI/testing .. doctest-skip:: >>> from astropy.coordinates import SkyCoord >>> my_obj = SkyCoord.from_name("Bellatrix") >>> for res in registry.search(waveband="infrared", servicetype="ssap"): ... print(res.service.search(pos=my_obj, size=0.001)) ... In reality, you will have to add some error handling to this kind of all-VO queries: in a wide and distributed network, some service is always down. See `Appendix: Robust All-VO Queries`_. The central point is: With a ``servicetype`` constraint, each result has a well-defined ``service`` attribute that contains some subclass of dal.Service and that can be queried in a uniform fashion. TAP services may provide tables in well-defined data models, like EPN-TAP or obscore. These can be queried in similar loops, although in some cases you will have to adapt the queries to the resources found. In the obscore case, an all-VO query would look like this: .. Again, that's too expensive for CI/testing .. doctest-skip:: >>> for svc_rec in registry.search(datamodel="obscore"): ... print(svc_rec.service.run_sync( ... "SELECT DISTINCT dataproduct_type FROM ivoa.obscore")) Again, in production this needs explicit handling of failing services. For an example of how this might look like, see `GAVO's plate tutorial`_ .. _GAVO's plate tutorial: http://docs.g-vo.org/gavo_plates.pdf More examples ------------- Discover archives ^^^^^^^^^^^^^^^^^ You can use the registry ``search`` method (or the ``regsearch`` function) to discover archives that may have x-ray images and then query those archives to find what x-ray images that have of CasA. For the arguments you will enter ``'image'`` for the service type and ``'x-ray'`` for the waveband. The position is provided by the Astropy library. The query returns a :py:class:`~pyvo.registry.RegistryResults` object which is a container holding a table of matching services. In this example it returns 33 matching services. .. doctest-remote-data:: >>> import pyvo as vo >>> from astropy.coordinates import SkyCoord >>> >>> import warnings >>> warnings.filterwarnings('ignore', module="astropy.io.votable.*") >>> >>> archives = vo.regsearch(servicetype='sia1', waveband='x-ray') >>> pos = SkyCoord.from_name('Cas A') >>> len(archives) # doctest: +IGNORE_OUTPUT 33 There are also other type of services that you can choose via the ``servicetype`` parameter, for more details see :py:class:`~pyvo.registry.Servicetype`. You can learn more about the archives by printing their titles and access URL: .. doctest-remote-data:: >>> for service in archives: ... print(service.res_title, service.access_url) # doctest: +IGNORE_OUTPUT Chandra X-ray Observatory Data Archive https://cda.harvard.edu/cxcsiap/queryImages? Chandra Source Catalog Release 1 http://cda.cfa.harvard.edu/csc1siap/queryImages? ... It is not necessary to keep track of the URL because you can search images directly from the registry record, for example using the Chandra X-ray Observatory (CDA) service and the ``search`` method, inserting the position and size for the desired object. .. doctest-remote-data:: >>> images = archives["CDA"].search(pos=pos, size=0.25) >>> len(images) # doctest: +IGNORE_OUTPUT 822 Sometimes you are looking for a type of object. For this purpose, the ``keywords`` parameter is useful here. For example, you want to find all catalogs related to blazars observed with Fermi: .. doctest-remote-data:: >>> cats = vo.regsearch(keywords=['blazar', 'Fermi']) >>> len(cats) # doctest: +IGNORE_OUTPUT 551 Or you already know the particular catalog but not the base URL for that service. For example, you want to get cutout images from the NRAO VLA Sky Survey (NVSS): .. doctest-remote-data:: >>> colls = vo.regsearch(keywords=['NVSS'], servicetype='sia1') >>> for coll in colls: ... print(coll.res_title, coll.access_url) NRA) VLA Sky Survey https://skyview.gsfc.nasa.gov/cgi-bin/vo/sia.pl?survey=nvss& Sydney University Molonglo Sky Survey https://skyview.gsfc.nasa.gov/cgi-bin/vo/sia.pl?survey=sumss& Search results ============== What is coming back from registry.search is :py:class:`pyvo.registry.RegistryResults` which is rather similar to :ref:`pyvo-resultsets`; just remember that for interactive use there is the ``to_tables`` method discussed above. The individual items are instances of :py:class:`~pyvo.registry.RegistryResource`, which expose many pieces of metadata (e.g., title, description, creators, etc) in attributes named like their RegTAP counterparts (see the class documentation). Some attributes deserve a second look. .. doctest-remote-data:: >>> import pyvo as vo >>> colls = vo.regsearch(keywords=["NVSS"], servicetype='sia1') >>> nvss = colls["NVSS"] >>> nvss.res_title 'NRA) VLA Sky Survey' If you are looking for a particular data collection or catalog, as we did above when we looked for the NVSS archive, often simply reviewing the titles is sufficient. Other times, particularly when you are not sure what you are looking for, it helps to look deeper. A selection of the resource metadata, including the title, shortname and description, can be printed out in a summary form with the ``describe`` function. .. doctest-remote-data:: >>> nvss.describe(verbose=True) NRA) VLA Sky Survey Short Name: NVSS IVOA Identifier: ivo://nasa.heasarc/skyview/nvss Access modes: sia - sia: https://skyview.gsfc.nasa.gov/cgi-bin/vo/sia.pl?survey=nvss& ... The verbose option in ``describe`` will output more information about the content of the resource, if available. Possible added entries are the authors of the resource, an associated DOI, an url where more information is provided, or a reference to a related paper. The method ``service`` will, for resources that only have a single capability, return a DAL service object ready for querying using the respective protocol. You should only use that attribute when the original registry query constrained the service type, because otherwise there is no telling what kind of service you will get back. .. doctest-remote-data:: >>> nvss = colls["NVSS"].service # converts record to service object >>> nvss.search(pos=(350.85, 58.815),size=0.25,format="image/fits") Survey Ra ... LogicalName object float64 ... object ------ ------- ... ----------- nvss 350.85 ... 1 With this service object, we can either call its ``search`` function directly or create query objects to get cutouts for a whole list of sources. .. doctest-remote-data:: >>> cutouts1 = nvss.search(pos=(148.8888, 69.065), size=0.2) >>> nvssq = nvss.create_query(size=0.2) # or create a query object >>> nvssq.pos = (350.85, 58.815) >>> cutouts2 = nvssq.execute() Our discussion of service metadata offers an opportunity to highlight another important property, the service's *IVOA Identifier* (sometimes referred to as its *ivoid*). This is a globally-unique identifier that takes the form of a `URI `_: .. doctest-remote-data:: >>> colls = vo.regsearch(keywords=["NVSS"], servicetype='sia1') >>> for coll in colls: ... print(coll.ivoid) ivo://nasa.heasarc/skyview/nvss ivo://nasa.heasarc/skyview/sumss This identifier can be used to retrieve a specific service from the registry. .. doctest-remote-data:: >>> nvss = vo.registry.search(ivoid='ivo://nasa.heasarc/skyview/nvss')[0].get_service(service_type='sia1') >>> nvss.search(pos=(350.85, 58.815),size=0.25,format="image/fits") Survey Ra ... LogicalName object float64 ... object ------ ------- ... ----------- nvss 350.85 ... 1 When the registry query did not constrain the service type, you can use the ``access_modes`` method to see what capabilities are available. For instance with this identifier: .. doctest-remote-data:: >>> res = registry.search(ivoid="ivo://org.gavo.dc/flashheros/q/ssa")[0] >>> res.access_modes() # doctest: +IGNORE_OUTPUT {'ssa', 'datalink#links-1.0', 'tap#aux', 'web', 'soda#sync-1.0'} – this service can be accessed through SSA, TAP, a web interface, and two special capabilities that pyVO cannot produce services for (mainly because standalone service objects do not make much sense for them). To obtain a service for one of the access modes pyVO does support, use ``get_service(service_type=mode)``. For ``web``, this returns an object that opens a web browser window when its ``query`` method is called. RegistryResources also have a ``get_contact`` method. Use this if the service is down or seems to have bugs; you should in general get at least an e-Mail address: .. doctest-remote-data:: >>> res.get_contact() 'GAVO Data Centre Team (+49 6221 54 1837) ' Finally, the registry has an idea of what kind of tables are published through a resource, much like the VOSI tables endpoint (as a matter of fact, the Registry should contain exactly what is there, as VOSI tables in effect just gives a part of the registry record). Not all publishers properly provide table metadata to the Registry, though, but most do these days, and then you can run: .. doctest-remote-data:: >>> res.get_tables() # doctest: +IGNORE_OUTPUT {'flashheros.data': ... 29 columns ..., 'ivoa.obscore': ... 0 columns ...} Alternative Registries ====================== There are several RegTAP services in the VO. PyVO by default uses the one at the TAP access URL http://reg.g-vo.org/tap. You can use alternative ones, for instance, because they are nearer to you or because the default endpoint is down. You can pre-select the URL by setting the ``IVOA_REGISTRY`` environment variable to the TAP access URL of the service you would like to use. In a bash-like shell, you would say:: export IVOA_REGISTRY="https://mast.stsci.edu/vo-tap/api/v0.1/registry" before starting python (or the notebook processor). Within a Python session, you can use the `pyvo.registry.choose_RegTAP_service` function, which also takes the TAP access URL. As long as you have on working registry endpoint, you can find the other RegTAP services using: .. We probably shouldn't test the result of the next code block; this will change every time someone registers a new RegTAP service... .. doctest-remote-data:: >>> res = registry.search(datamodel="regtap") >>> print("\n".join(sorted(r.get_interface(service_type="tap", lax=True).access_url ... for r in res))) http://dc.g-vo.org/tap http://gavo.aip.de/tap http://voparis-rr.obspm.fr/tap https://mast.stsci.edu/vo-tap/api/v0.1/registry https://registry.euro-vo.org/regtap/tap Reference/API ============= .. automodapi:: pyvo.registry .. automodapi:: pyvo.registry.regtap .. automodapi:: pyvo.registry.rtcons Appendix: Robust All-VO Queries =============================== The VO contains many services, and even if all of them had 99.9% uptime (which not all do), at any time you would always see failures, some of them involving long timeouts. Hence, if you run all-VO queries, you should catch errors and, at least in interactive sessions, provide some way to interrupt overly long queries. Here is an example for how to query all obscore services; remove the ``break`` at the end of the loop to actually do the global query (it's there so that you don't blindly run all-VO queries without reading at least this sentence): .. doctest-remote-data:: >>> from astropy.table import vstack >>> from pyvo import registry >>> >>> QUERY = "SELECT TOP 1 s_ra, s_dec from ivoa.obscore" >>> >>> results = [] >>> for i, svc_rec in enumerate(registry.search(datamodel="obscore", servicetype="tap")): ... # print("Querying {}".format(svc_rec.res_title)) ... try: ... svc = svc_rec.get_service(service_type="tap", lax=True) ... results.append( ... svc.run_sync(QUERY).to_table()) ... except KeyboardInterrupt: ... # someone lost their patience with a service. Query next. ... pass ... except Exception as msg: ... # some service is broken; you *should* complain, but ... #print(" Broken: {} ({}). Complain to {}.\n".format( ... pass # svc_rec.ivoid, msg, svc_rec.get_contact())) ... if i == 2: ... break >>> total_result = vstack(results) # doctest: +IGNORE_WARNINGS >>> total_result # doctest: +IGNORE_OUTPUT
s_ra s_dec deg deg float64 float64 ------------------ ------------------- 350.4619 -9.76139 208.360833592735 52.3611106494996 148.204840298431 29.1690999975089 243.044008 -51.778222 321.63278049999997 -54.579285999999996 Note that even this is not enough to reliably cover use cases like „give me all images of M1 in the X-Ray in the VO“. In some future version, pyVO will come with higher-level functionality for such tasks. astropy-pyvo-b70558c/docs/samp.rst000066400000000000000000000032671510533647000172030ustar00rootroot00000000000000.. _pyvo-samp: ****************** SAMP (`pyvo.samp`) ****************** SAMP, the Simple Application Messaging Protocol, lets you send and receive tables, datasets, or points of interest between various clients on a desktop. While the main SAMP support still resides in astropy (it might be moved over to pyvo in later versions), there are a few wrapper functions in pyvo that make a few common SAMP tasks simpler or more robust. Most importantly, pyvo lets you manage the SAMP connection in a context manager, which means you will not have to remember to close your connections to avoid ugly artefacts in the SAMP hub. In addition, there are convenience functions for sending out data; in all cases, you can pass a ``client_name`` to only send a message to the specific client; a simple way to obtain client names is to inspect TOPCAT's SAMP status if you use TOPCAT's built-in SAMP hub. If, on the other hand, you pass ``None`` as ``client_name`` (or omit the parameter), you will send a broadcast. Sending tables has the additional difficulty over sending other datasets that you will have to make the table data accessible to the receiving client. The solution chosen by pyvo.samp at this time will only work if the sending and receiving applications share a file system. This seems a reasonable expectation and saves a bit of a potential security headache. Using pyvo.samp, sending an astropy table ``t`` to TOPCAT would look like this:: import pyvo with pyvo.samp.connection(client_name="pyvo magic") as conn: pyvo.samp.send_table_to( conn, t, name="my-results", client_name="topcat") Reference/API ============= .. automodapi:: pyvo.samp :no-inheritance-diagram: astropy-pyvo-b70558c/docs/utils/000077500000000000000000000000001510533647000166415ustar00rootroot00000000000000astropy-pyvo-b70558c/docs/utils/index.rst000066400000000000000000000010521510533647000205000ustar00rootroot00000000000000.. _pyvo-utils: ******************************* pyVO utilities (``pyvo.utils``) ******************************* This subpackage collects a few packages intended to help developing and maintaining pyVO. All of this is not part of pyVO's public API and may change at any time. It is documented here for the convenience of the maintainers and to help users when the effects of this code becomes user-visible. Reference/API ============= .. automodapi:: pyvo.utils.xml.elements :no-inheritance-diagram: .. toctree:: :maxdepth: 1 prototypes astropy-pyvo-b70558c/docs/utils/prototypes.rst000066400000000000000000000102531510533647000216240ustar00rootroot00000000000000.. _pyvo-prototypes: ************************************************** Prototype Implementations (`pyvo.utils.prototype`) ************************************************** This subpackage provides support for prototype standard implementations. ``PyVO`` implements the IVOA standards. As part of the standard approval process, new features are proposed and need to be demonstrated before the standard may be approved. ``PyVO`` may implement features that are not yet part of an approved standard. Such features are unstable, as the standard may be subject to reviews and significant changes, until it's finally approved. The ``prototype`` package provides support for such prototypes by means of a decorator for implementations that are still unstable. The expectation is that they will eventually become standard at which time the decorator will be removed. Users of ``pyvo`` need to explicitly opt-in in order to use such features. If prototype implementations are accessed without the user explicitly opting in, an exception will be raised. .. _pyvo-prototypes-users: Activating Prototype Implementations ==================================== In order to activate a feature, users need to call the function:: activate_features('feature_one', 'feature_two') Where the arguments are names of prototype features. If a feature name does not exist, a `~pyvo.utils.prototype.PrototypeWarning` will be issued, but the call will not fail. If no arguments are provided, then all features are enabled. .. _pyvo-prototypes-developers: Marking Features as Experimental ================================ The design restricts the possible usage of the decorator, which needs to always be called with a single argument being the name of the corresponding feature. More arguments are allowed but will be ignored. If the decorator is not used with the correct ``@prototype_feature("feature-name")`` invocation, the code will error as soon as the class is imported. The decorator can be used to tag individual functions or methods:: @prototype_feature('a-feature') def i_am_a_prototype(*arg, **kwargs): pass In this case, a single function or method is tagged as part of the ``a-feature`` prototype feature. If the feature has a URL defined (see :ref:`pyvo-prototypes-registry` below). Alternatively, a class can be marked as belonging to a feature. All public methods will be marked as part of the prototype implementation. Protected, private, and *dunder* methods (i.e. any method starting with an underscore) will be ignored. The reason is that the class might be instantiated by some mediator before the user can call (and more importantly not call) a higher level facade:: @prototype_feature('a-feature') class SomeFeatureClass: def method(self): pass @staticmethod def static(): pass def __ignore__(self): pass Any number of classes and functions can belong to a single feature, and individual methods can be tagged in a class rather than the class itself. .. _pyvo-prototypes-registry: Feature Registry ================ The feature registry is a static ``features`` dictionary in the `~pyvo.utils.prototype` package. The key is the name of the feature and the value is an instance of the `~pyvo.utils.protofeature.Feature` class. This class is responsible for determining whether an instance should error or not, and to format an error message if it's not. While the current implementation of the ``Feature`` class is simple, future requirements might lead to other implementations with more complex logic or additional documentation elements. .. _pyvo-prototypes-api: Reference/API ============= .. automodapi:: pyvo.utils.prototype .. automodapi:: pyvo.utils.protofeature Existing Prototypes =================== .. _cadc-tb-upload: CADC Table Manipulation (cadc-tb-upload) ---------------------------------------- This is a proposed extension to the TAP protocol to allow users to manipulate tables (https://wiki.ivoa.net/twiki/bin/view/IVOA/TAP-1_1-Next). The `~pyvo.dal.tap.TAPService` has been extended with methods that allow for: * table creation * column index creation * table content upload * table removal More details at: :ref:`table manipulation` astropy-pyvo-b70558c/licenses/000077500000000000000000000000001510533647000163565ustar00rootroot00000000000000astropy-pyvo-b70558c/licenses/ASTROPY_LICENSE.rst000066400000000000000000000027301510533647000214150ustar00rootroot00000000000000Copyright (c) 2011-2013, Astropy Developers All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the Astropy Team nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. astropy-pyvo-b70558c/licenses/LICENSE.rst000066400000000000000000000027511510533647000201770ustar00rootroot00000000000000Copyright (c) 2013, Virtual Astronomical Observatory, LLC (VAO) All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the VAO nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. astropy-pyvo-b70558c/licenses/README.rst000066400000000000000000000002421510533647000200430ustar00rootroot00000000000000Licenses ======== This directory holds license and credit information for the affiliated package, works the affiliated package is derived from, and/or datasets. astropy-pyvo-b70558c/pyproject.toml000066400000000000000000000002651510533647000174700ustar00rootroot00000000000000[build-system] requires = ["setuptools", "setuptools_scm", "wheel"] build-backend = 'setuptools.build_meta' [tool.black] force-exclude = ''' ( .* ) '''astropy-pyvo-b70558c/pyvo/000077500000000000000000000000001510533647000155465ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/__init__.py000066400000000000000000000025571510533647000176700ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ PyVO is a package providing access to remote data and services of the Virtual observatory (VO) using Python. The pyvo module currently provides these main capabilities: * find archives that provide particular data of a particular type and/or relates to a particular topic * regsearch() * search an archive for datasets of a particular type * imagesearch(), spectrumsearch() * do simple searches on catalogs or databases * conesearch(), linesearch(), tablesearch() Submodules provide additional functions and classes for greater control over access to these services. This module also exposes the exception classes raised by the above functions, of which DALAccessError is the root parent exception. """ # Affiliated packages may add whatever they like to this file, but # should keep this content at the top. # ---------------------------------------------------------------------------- from ._astropy_init import * # ---------------------------------------------------------------------------- from . import registry from .dal import ssa, sia, sla, scs, tap from . import auth from .registry import search as regsearch from .dal import ( imagesearch, spectrumsearch, conesearch, linesearch, tablesearch, DALAccessError, DALProtocolError, DALFormatError, DALServiceError, DALQueryError) astropy-pyvo-b70558c/pyvo/_astropy_init.py000066400000000000000000000002721510533647000210040ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst __all__ = ['__version__'] try: from .version import version as __version__ except ImportError: __version__ = '' astropy-pyvo-b70558c/pyvo/auth/000077500000000000000000000000001510533647000165075ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/auth/__init__.py000066400000000000000000000003541510533647000206220ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst __all__ = ["AuthSession", "AuthURLs", "CredentialStore"] from .authsession import AuthSession from .authurls import AuthURLs from .credentialstore import CredentialStore astropy-pyvo-b70558c/pyvo/auth/authsession.py000066400000000000000000000071351510533647000214340ustar00rootroot00000000000000import logging from .authurls import AuthURLs from .credentialstore import CredentialStore __all__ = ["AuthSession"] class AuthSession: """ A requests-like session that pyvo can use to dispatch its network calls with authentication. The user adds their credentials to the credentials object, such as adding a cookie, certificate, or password. The network requests made by pyvo pass through here, and the URL of the request is matched against the capabilities of the service. Based on what credentials have been provided and the capabilities of the service, appropriate credentials are added to the request before it is sent. """ def __init__(self): super().__init__() self.credentials = CredentialStore() self._auth_urls = AuthURLs() def add_security_method_for_url(self, url, security_method, exact=False): """ Add a security method for a url. This is additive with update_from_capabilities. This can be useful to set additional security methods that aren't set in the capabilities for whatever reason. Parameters ---------- url : str URL to set a security method for security_method : str URI of the security method to set exact : bool If True, match only this URL. If false, match all URLs that match this as a base URL. """ self._auth_urls.add_security_method_for_url(url, security_method, exact=exact) def update_from_capabilities(self, capabilities): """ Update the URL to security method mapping using the capabilities provided. Parameters ---------- capabilities : object List of `~pyvo.io.vosi.voresource.Capability` """ self._auth_urls.update_from_capabilities(capabilities) def get(self, url, **kwargs): """ Wrapper to make a HTTP GET request with authentication. """ return self._request('GET', url, **kwargs) def post(self, url, **kwargs): """ Wrapper to make a HTTP POST request with authentication. """ return self._request('POST', url, **kwargs) def put(self, url, **kwargs): """ Wrapper to make a HTTP PUT request with authentication. """ return self._request('PUT', url, **kwargs) def delete(self, url, **kwargs): """ Wrapper to make a HTTP DELETE request with authentication. """ return self._request('DELETE', url, **kwargs) def _request(self, http_method, url, **kwargs): """ Make an HTTP request with authentication. This function looks at the url of the request, determines what credentials it should attach to the request to authenticate, and then dispatches the request to the underlying requests library using the session that has been configured with the credentials. Parameters ---------- http_method : str the HTTP verb of the request. url : str the URL to request """ auth_methods = self._auth_urls.allowed_auth_methods(url) logging.debug('Possible auth methods: %s', auth_methods) negotiated_method = self.credentials.negotiate_method(auth_methods) logging.debug('Using auth method: %s', negotiated_method) session = self.credentials.get(negotiated_method) return session.request(http_method, url, **kwargs) def __repr__(self): return '\n'.join([repr(self.credentials), repr(self._auth_urls)]) astropy-pyvo-b70558c/pyvo/auth/authurls.py000066400000000000000000000074551510533647000207430ustar00rootroot00000000000000import collections import logging from . import securitymethods __all__ = ["AuthURLs"] class AuthURLs(): """ AuthURLs helps determine which security method should be used with a given URL. It learns the security methods through the VOSI capabilities, which are passed in via update_from_capabilities. """ def __init__(self): self.full_urls = collections.defaultdict(set) self.base_urls = collections.defaultdict(set) def update_from_capabilities(self, capabilities): """ Update the URL to security method mapping using the capabilities provided. Parameters ---------- capabilities : object List of `~pyvo.io.vosi.voresource.Capability` """ for c in capabilities: for i in c.interfaces: for u in i.accessurls: url = u.content exact = u.use == 'full' if not i.securitymethods: self.add_security_method_for_url(url, securitymethods.ANONYMOUS, exact) for sm in i.securitymethods: method = sm.standardid or securitymethods.ANONYMOUS self.add_security_method_for_url(url, method, exact) def add_security_method_for_url(self, url, security_method, exact=False): """ Add a security method for a url. This is additive with update_from_capabilities. This can be useful to set additional security methods that aren't set in the capabilities for whatever reason. Parameters ---------- url : str URL to set a security method for security_method : str URI of the security method to set exact : bool If True, match only this URL. If false, match all URLs that match this as a base URL. """ if exact: self.full_urls[url].add(security_method) else: self.base_urls[url].add(security_method) def allowed_auth_methods(self, url): """ Return the authentication methods allowed for a particular URL. The methods are returned as URIs that represent security methods. Parameters ---------- url : str the URL to determine authentication methods """ logging.debug('Determining auth method for %s', url) if url in self.full_urls: methods = self.full_urls[url] logging.debug('Matching full url %s, methods %s', url, methods) return methods for base_url, methods in self._iterate_base_urls(): if url.startswith(base_url): logging.debug('Matching base url %s, methods %s', base_url, methods) return methods logging.debug('No match, using anonymous auth') return {securitymethods.ANONYMOUS} def _iterate_base_urls(self): """ A generator to sort the base URLs in the correct way to determine the most specific base_url. This is done by returning them longest to shortest. """ def sort_by_len(x): return len(x[0]) # Sort the base path matching URLs, so that # the longest URLs (the most specific ones, if # there is a tie) are used to determine the # auth method. yield from sorted(self.base_urls.items(), key=sort_by_len, reverse=True) def __repr__(self): urls = [] for url, methods in self.full_urls.items(): urls.append('Full match:' + url + ':' + str(methods)) for url, methods in self._iterate_base_urls(): urls.append('Base match:' + url + ':' + str(methods)) return '\n'.join(urls) astropy-pyvo-b70558c/pyvo/auth/credentialstore.py000066400000000000000000000114061510533647000222520ustar00rootroot00000000000000import logging from pyvo.utils.http import create_session from . import securitymethods __all__ = ["CredentialStore"] class CredentialStore: """ The credential store takes user credentials, and uses them to create appropriate requests sessions for dispatching requests using those credentials. Different types of credentials can be passed in, such as cookies, a jar of cookies, certificates, and basic auth. A session can also be associated with a security method URI by calling the set function. Before a request is to be dispatched, the AuthSession calls the get method to retrieve the appropriate requests.Session for making that HTTP request. """ def __init__(self): self.credentials = {} self.set(securitymethods.ANONYMOUS, create_session()) def negotiate_method(self, allowed_methods): """ Compare the credentials provided by the user against the security methods passed in, and determine which method is to be used for making this request. Parameters ---------- allowed_methods : list(str) list of allowed security methods to return Raises ------ Raises an exception if a common method could not be negotiated. """ available_methods = set(self.credentials.keys()) methods = available_methods.intersection(allowed_methods) logging.debug('Available methods: %s', methods) # If we have no common auth mechanism, then fail. if not methods: msg = 'Negotiation failed. Server supports %s, client supports %s' % \ (allowed_methods, available_methods) raise Exception(msg) # If there are more than 1 method to pick, don't pick # anonymous over an actual method. if len(methods) > 1: methods.discard(securitymethods.ANONYMOUS) # Pick a random method. return methods.pop() def set(self, method_uri, session): """ Associate a security method URI with a requests.Session like object. Parameters ---------- method_uri : str URI representing the security method session : object the requests.Session like object that will dispatch requests for the authentication method provided by method_uri """ self.credentials[method_uri] = session def get(self, method_uri): """ Retrieve the requests.Session like object associated with a security method URI. Parameters ---------- method_uri : str URI representing the security method """ return self.credentials[method_uri] def set_cookie(self, cookie_name, cookie_value, domain='', path='/'): """ Add a cookie to use as authentication. More than one call to set_cookie will add multiple cookies into the same cookie jar used for the request. Parameters ---------- cookie_name : str name of the cookie cookie_value : str value of the cookie domain : str restrict usage of this cookie to this domain path : str restrict usage of this cookie to this path """ cookie_session = self.credentials.setdefault(securitymethods.COOKIE, create_session()) cookie_session.cookies.set(cookie_name, cookie_value, domain=domain, path=path) def set_cookie_jar(self, cookie_jar): """ Set the cookie jar to use for authentication. Any previous cookies or cookie jars set will be removed. Parameters ---------- cookie_jar : obj the cookie jar to use. """ cookie_session = self.credentials.setdefault(securitymethods.COOKIE, create_session()) cookie_session.cookies = cookie_jar def set_client_certificate(self, certificate_path): """ Add a client certificate to use for authentication. Parameters ---------- certificate_path : str path to the file of the client certificate """ cert_session = create_session() cert_session.cert = certificate_path self.set(securitymethods.CLIENT_CERTIFICATE, cert_session) def set_password(self, username, password): """ Add a username / password for basic authentication. Parameters ---------- username : str username to use password : str password to use """ basic_session = create_session() basic_session.auth = (username, password) self.set(securitymethods.BASIC, basic_session) def __repr__(self): return 'Support for %s' % self.credentials.keys() astropy-pyvo-b70558c/pyvo/auth/securitymethods.py000066400000000000000000000002411510533647000223110ustar00rootroot00000000000000ANONYMOUS = 'anonymous' BASIC = 'ivo://ivoa.net/sso#BasicAA' CLIENT_CERTIFICATE = 'ivo://ivoa.net/sso#tls-with-certificate' COOKIE = 'ivo://ivoa.net/sso#cookie' astropy-pyvo-b70558c/pyvo/auth/tests/000077500000000000000000000000001510533647000176515ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/auth/tests/__init__.py000066400000000000000000000001001510533647000217510ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst astropy-pyvo-b70558c/pyvo/auth/tests/conftest.py000066400000000000000000000012661510533647000220550ustar00rootroot00000000000000from contextlib import contextmanager import pytest import requests_mock class ContextAdapter(requests_mock.Adapter): """ requests_mock adapter where ``register_uri`` returns a context manager """ @contextmanager def register_uri(self, *args, **kwargs): matcher = super().register_uri(*args, **kwargs) yield matcher self.remove_matcher(matcher) def remove_matcher(self, matcher): if matcher in self._matchers: self._matchers.remove(matcher) @pytest.fixture(scope='function') def mocker(): with requests_mock.Mocker( adapter=ContextAdapter(case_sensitive=True) ) as mocker_ins: yield mocker_ins astropy-pyvo-b70558c/pyvo/auth/tests/data/000077500000000000000000000000001510533647000205625ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/auth/tests/data/tap/000077500000000000000000000000001510533647000213465ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/auth/tests/data/tap/capabilities.xml000066400000000000000000000071051510533647000245240ustar00rootroot00000000000000 http://example.com/tap/capabilities http://example.com/tap/availability http://example.com/tap/tables $security_methods http://example.com/tap $security_methods ADQL 2.0 ADQL-2.0
POINT
CIRCLE
DISTANCE
POLYGON
REGION
CONTAINS
INTERSECTS
AREA
CENTROID
COORD1
COORD2 application/x-votable+xml votable text/xml text/csv csv text/tab-separated-values tsv 604800 604800 600 600 134217728 134217728 10000 10000 astropy-pyvo-b70558c/pyvo/auth/tests/test_auth.py000066400000000000000000000152401510533647000222250ustar00rootroot00000000000000#!/usr/bin/env python # Licensed under a 3-clause BSD style license - see LICENSE.rst """ Tests for pyvo.auth """ import base64 from requests.cookies import RequestsCookieJar from string import Template import pytest from astropy.utils.data import get_pkg_data_contents import pyvo.dal from pyvo.auth.authsession import AuthSession from pyvo.dal.tests.test_tap import MockAsyncTAPServer @pytest.fixture(name='security_methods') def _security_methods(): return [None] @pytest.fixture() def auth_capabilities(mocker, security_methods): anon_element = '' sm_element = Template('') method_elements = [] for m in security_methods: if m is None: method_elements.append(anon_element) else: method_elements.append(sm_element.substitute(m=m)) def callback(request, context): t = Template(get_pkg_data_contents('data/tap/capabilities.xml')) capabilities = t.substitute(security_methods=method_elements) return capabilities.encode('utf-8') with mocker.register_uri( 'GET', 'http://example.com/tap/capabilities', content=callback ) as matcher: yield matcher class MockAnonAuthTAPServer(MockAsyncTAPServer): def validator(self, request): assert request.cert is None assert 'Authorization' not in request.headers assert 'Cookie' not in request.headers @pytest.fixture() def anon_auth_service(mocker): yield from MockAnonAuthTAPServer().use(mocker) class MockCookieAuthTAPServer(MockAsyncTAPServer): def validator(self, request): assert request.cert is None assert 'Authorization' not in request.headers assert request.headers.get('Cookie', None) == 'TEST_COOKIE=BADCOOKIE' @pytest.fixture() def cookie_auth_service(mocker): yield from MockCookieAuthTAPServer().use(mocker) class MockCertificateAuthTAPServer(MockAsyncTAPServer): def validator(self, request): assert request.cert == 'client-certificate.pem' assert 'Authorization' not in request.headers assert 'Cookie' not in request.headers @pytest.fixture() def certificate_auth_service(mocker): yield from MockCertificateAuthTAPServer().use(mocker) class MockBasicAuthTAPServer(MockAsyncTAPServer): def validator(self, request): pw = 'testuser:hunter2'.encode('ascii') basic_encoded = 'Basic ' + base64.b64encode(pw).decode('ascii') assert request.cert is None assert request.headers.get('Authorization', None) == basic_encoded assert 'Cookie' not in request.headers @pytest.fixture() def basic_auth_service(mocker): yield from MockBasicAuthTAPServer().use(mocker) @pytest.mark.usefixtures('cookie_auth_service', 'auth_capabilities') @pytest.mark.parametrize('security_methods', [[None, 'ivo://ivoa.net/sso#cookie']]) @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W27") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W48") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W06") def test_cookies_auth(): session = AuthSession() session.credentials.set_cookie('TEST_COOKIE', 'BADCOOKIE') service = pyvo.dal.TAPService('http://example.com/tap', session=session) service.run_async("SELECT * FROM ivoa.obscore") @pytest.mark.usefixtures('cookie_auth_service', 'auth_capabilities') @pytest.mark.parametrize('security_methods', [[None, 'ivo://ivoa.net/sso#cookie']]) @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W27") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W48") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W06") def test_cookie_jar_auth(): session = AuthSession() jar = RequestsCookieJar() jar.set('TEST_COOKIE', 'BADCOOKIE') session.credentials.set_cookie_jar(jar) service = pyvo.dal.TAPService('http://example.com/tap', session=session) service.run_async("SELECT * FROM ivoa.obscore") @pytest.mark.usefixtures('certificate_auth_service', 'auth_capabilities') @pytest.mark.parametrize('security_methods', [[None, 'ivo://ivoa.net/sso#tls-with-certificate']]) @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W27") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W48") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W06") def test_certificate_auth(): session = AuthSession() session.credentials.set_client_certificate('client-certificate.pem') service = pyvo.dal.TAPService('http://example.com/tap', session=session) service.run_async("SELECT * FROM ivoa.obscore") @pytest.mark.usefixtures('basic_auth_service', 'auth_capabilities') @pytest.mark.parametrize('security_methods', [[None, 'ivo://ivoa.net/sso#BasicAA']]) @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W27") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W48") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W06") def test_basic_auth(): session = AuthSession() session.credentials.set_password('testuser', 'hunter2') service = pyvo.dal.TAPService('http://example.com/tap', session=session) service.run_async("SELECT * FROM ivoa.obscore") @pytest.mark.usefixtures('basic_auth_service', 'auth_capabilities') @pytest.mark.parametrize('security_methods', [[None, 'ivo://ivoa.net/sso#BasicAA']]) @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W27") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W48") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W06") def test_negotiation(): session = AuthSession() session.credentials.set_password('testuser', 'hunter2') session.credentials.set_client_certificate('client-certificate.pem') session.credentials.set_cookie('TEST_COOKIE', 'BADCOOKIE') service = pyvo.dal.TAPService('http://example.com/tap', session=session) service.run_async("SELECT * FROM ivoa.obscore") @pytest.mark.usefixtures('anon_auth_service', 'auth_capabilities') @pytest.mark.parametrize('security_methods', [[None, 'ivo://ivoa.net/sso#FancyAuth']]) @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W27") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W48") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W06") def test_no_common_auth_negotiation(): session = AuthSession() session.credentials.set_password('testuser', 'hunter2') session.credentials.set_client_certificate('client-certificate.pem') session.credentials.set_cookie('TEST_COOKIE', 'BADCOOKIE') service = pyvo.dal.TAPService('http://example.com/tap', session=session) service.run_async("SELECT * FROM ivoa.obscore") astropy-pyvo-b70558c/pyvo/dal/000077500000000000000000000000001510533647000163065ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/dal/__init__.py000066400000000000000000000027551510533647000204300ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst from .sia import search as imagesearch from .sia2 import search as imagesearch2 from .ssa import search as spectrumsearch from .sla import search as linesearch from .scs import search as conesearch from .tap import search as tablesearch from .query import DALService, DALQuery, DALResults, Record from .sia import SIAService, SIAQuery, SIAResults, SIARecord from .sia2 import SIA2Service, SIA2Query, SIA2Results, ObsCoreRecord from .ssa import SSAService, SSAQuery, SSAResults, SSARecord from .sla import SLAService, SLAQuery, SLAResults, SLARecord from .scs import SCSService, SCSQuery, SCSResults, SCSRecord from .tap import TAPService, TAPQuery, TAPResults, AsyncTAPJob from .exceptions import ( DALAccessError, DALProtocolError, DALFormatError, DALServiceError, DALQueryError, DALOverflowWarning) __all__ = [ "imagesearch", "spectrumsearch", "linesearch", "conesearch", "tablesearch", "DALService", "imagesearch2", "SIAService", "SIA2Service", "SSAService", "SLAService", "SCSService", "TAPService", "DALQuery", "SIAQuery", "SIA2Query", "SSAQuery", "SLAQuery", "SCSQuery", "TAPQuery", "DALResults", "SIAResults", "SIA2Results", "SSAResults", "SLAResults", "SCSResults", "TAPResults", "Record", "ObsCoreRecord", "SIARecord", "SSARecord", "SLARecord", "SCSRecord", "AsyncTAPJob", "DALAccessError", "DALProtocolError", "DALFormatError", "DALServiceError", "DALQueryError", "DALOverflowWarning"] astropy-pyvo-b70558c/pyvo/dal/adhoc.py000066400000000000000000001215061510533647000177430ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ Datalink classes and mixins """ import numpy as np import warnings import copy import requests from .query import DALResults, DALQuery, DALService, Record from .exceptions import DALServiceError from .vosi import AvailabilityMixin, CapabilityMixin from .params import find_param_by_keyword, get_converter from astropy.io.votable.tree import Param from astropy import units as u from astropy.units import Quantity, Unit from astropy.units import spectral as spectral_equivalencies from astropy.io.votable.tree import Resource, Group, VOTableFile try: from astropy.io.votable.tree import TableElement except ImportError: from astropy.io.votable.tree import Table as TableElement from astropy.utils.collections import HomogeneousList from ..utils.decorators import stream_decode_content from ..utils import vocabularies from .params import PosQueryParam, IntervalQueryParam, TimeQueryParam, EnumQueryParam from ..dam.obscore import POLARIZATION_STATES # calls to DataLink from the results pages are batched for performance # reasons. This is the size of a batch DATALINK_BATCH_CALL_SIZE = 50 SODA_SYNC_IVOID = 'ivo://ivoa.net/std/SODA#sync-1' DATALINK_IVOID = 'ivo://ivoa.net/std/datalink' # MIME types DATALINK_MIME_TYPE = 'application/x-votable+xml;content=datalink' # monkeypatch astropy with group support in RESOURCE def _monkeypath_astropy_resource_groups(): old_group_unknown_tag = Group._add_unknown_tag def new_group_unknown_tag(self, iterator, tag, data, config, pos): if tag == "PARAM": return self._add_param(self, iterator, tag, data, config, pos) else: old_group_unknown_tag(self, iterator, tag, data, config, pos) old_init = Resource.__init__ def new_init(self, *args, **kwargs): old_init(self, *args, **kwargs) self._groups = HomogeneousList(Group) Resource.__init__ = new_init def resource_groups(self): return self._groups Resource.groups = property(resource_groups) def resource_add_group(self, iterator, tag, data, config, pos): group = Group(self, config=config, pos=pos, **data) self.groups.append(group) group.parse(iterator, config) Resource._add_group = resource_add_group old_resource_unknown_tag = Resource._add_unknown_tag def new_resource_unknown_tag(self, iterator, tag, data, config, pos): if tag == "GROUP": return self._add_group(iterator, tag, data, config, pos) else: old_resource_unknown_tag(self, iterator, tag, data, config, pos) Resource._add_unknown_tag = new_resource_unknown_tag if not hasattr(Resource, 'groups'): _monkeypath_astropy_resource_groups() __all__ = [ "AdhocServiceResultsMixin", "DatalinkResultsMixin", "DatalinkRecordMixin", "DatalinkService", "DatalinkQuery", "DatalinkResults", "DatalinkRecord", "SodaRecordMixin", "SodaQuery"] def _get_input_params_from_resource(resource): # get the group with name inputParams group_input_params = next( group for group in resource.groups if group.name == "inputParams") # get only Param elements from the group return { _.name: _ for _ in group_input_params.entries if isinstance(_, Param)} def _get_params_from_resource(resource): return {_.name: _ for _ in resource.params} def _get_accessurl_from_params(params): if "accessURL" not in params: raise DALServiceError("Datalink has no accessURL") return params["accessURL"].value class AdhocServiceResultsMixin: """ Mixin for adhoc:service functionality for results classes. """ def __init__(self, votable, *, url=None, session=None): super().__init__(votable, url=url, session=session) self._adhocservices = list( resource for resource in votable.resources if resource.type == "meta" and resource.utype == "adhoc:service" ) def iter_adhocservices(self): yield from self._adhocservices def get_adhocservice_by_ivoid(self, ivo_id): """ Return the adhoc service starting with the given ivo_id. Parameters ---------- ivo_id : str the ivoid of the service we want to have. Returns ------- Resource The resource element describing the service. """ if isinstance(ivo_id, bytes): ivo_id = ivo_id.decode('utf-8') for adhocservice in self.iter_adhocservices(): if any( all(( param.name == "standardID", param.value.lower().startswith(ivo_id.lower()) )) for param in adhocservice.params ): return adhocservice raise DALServiceError( f"No Adhoc Service with ivo-id {ivo_id}!") def get_adhocservice_by_id(self, id_): """ Return the adhoc service starting with the given service_def id. Parameters ---------- id_ : str the service_def id of the service we want to have. Returns ------- Resource The resource element describing the service. """ for adhocservice in self.iter_adhocservices(): if adhocservice.ID == id_: return adhocservice raise DALServiceError( f"No Adhoc Service with service_def id {id_}!") class DatalinkResultsMixin(AdhocServiceResultsMixin): """ Mixin for datalink functionality for results classes. """ def _iter_datalinks_from_dlblock(self, preserve_order=False): """yields datalinks from the current rows using a datalink service RESOURCE. Parameters ---------- preserve_order : bool True to return the datalinks keeping the order of the current rows. NOTE: There might be a performance penalty for keeping the order as one request per row is sent to the service. When the order of the datalinks is not important, the execution is optimized to query the service in batches. """ def _get_results_tb(rows, dl_batch_tb): # Creates a new DL result table with the given rows as the results data # and the dl_batch_tb as the template for both table fields and other resources tb = VOTableFile() new_table = TableElement(tb) new_table.fields.extend(dl_batch_tb.get_first_table().fields) new_table.create_arrays(len(rows)) for index, row in enumerate(rows): new_table.array[index] = row results_resource = Resource() results_resource.type = "results" results_resource.tables.append(new_table) tb.resources.append(results_resource) # now add all the other resources from the dl_batch_tb for resource in dl_batch_tb.resources: if resource.type == "meta": tb.resources.append(resource) return tb if preserve_order: # one request at the time to preserve order for row in self: self.query = DatalinkQuery.from_resource( row, self._datalink, session=self._session, original_row=None) yield DatalinkResults( self.query.execute(post=True).votable, original_row=row) return # results from batch calls are not guaranteed to be in the same order with # the results rows. To map the links back to the original result rows, # create a dictionary of IDs to result rows, where ID is the value of # the column given by the ref field of the service descriptor (input parameter) original_rows = {} input_params = _get_input_params_from_resource(self._datalink) for name, input_param in input_params.items(): if input_param.ref: for row in self: original_rows[row[input_param.ref]] = row self.query = DatalinkQuery.from_resource( [_ for _ in self], self._datalink, session=self._session, original_row=None) remaining_ids = self.query['ID'] if not remaining_ids: # we are done before starting return current_batch = self.query.execute(post=True) if len(current_batch) == 0: raise DALServiceError( 'Could not retrieve datalinks for: {}'.format( ', '.join([_ for _ in remaining_ids]))) batch_size = 0 # unknown yet batch_size_determined = False # apparent only after first returned batch while remaining_ids: start_remaining_ids = len(remaining_ids) res_votable = current_batch.votable.get_first_table() id_index = 0 # Datalink spec: ID is the first column # Datalink spec: "... all links for a single ID value must be served in # consecutive rows in the output" # Accordingly, the line below should not be necessary but in # practice it might be needed np.ma.MaskedArray.sort(res_votable.array, id_index) last_id = res_votable.array[id_index][0] rows = [] for index, row in enumerate(res_votable.array): if row[id_index] == last_id: rows.append(row) else: yield DatalinkResults(_get_results_tb(rows, current_batch.votable), original_row=original_rows.get(last_id, None)) if not batch_size_determined: batch_size += 1 if last_id in remaining_ids: remaining_ids.remove(last_id) # proceed to the next ID last_id = row[id_index] rows = [row] if last_id in remaining_ids: remaining_ids.remove(last_id) if not batch_size_determined: batch_size += 1 batch_size_determined = True yield DatalinkResults(_get_results_tb(rows, current_batch.votable), original_row=original_rows.get(last_id, None)) if not remaining_ids: return # we are done if len(remaining_ids) == start_remaining_ids: # no progress raise DALServiceError( 'Could not retrieve datalinks for: {}'.format( ', '.join([_ for _ in remaining_ids]))) self.query['ID'] = remaining_ids[:batch_size] current_batch = self.query.execute(post=True) if not current_batch: raise DALServiceError( 'Could not retrieve datalinks for: {}'.format( ', '.join([_ for _ in remaining_ids]))) @staticmethod def _guess_access_format(row): """returns a guess for the format of what __guess_access_url will return. This tries a few heuristics based on how obscore or SIA records might be marked up. If will return None if row does not look as if it contained an access format. Note that the heuristics are tried in sequence; for now, we do not define the sequence of heuristics. """ if hasattr(row, "access_format"): return row.access_format if "access_format" in row: return row["access_format"] access_format = row.getbyutype("obscore:access.format" ) or row.getbyutype("ssa:Access.Format") if access_format: return access_format access_format = row.getbyucd("meta.code.mime" ) or row.getbyucd("VOX:Image_Format") if access_format: return access_format @staticmethod def _guess_access_url(row): """returns a guess for a URI to a data product in row. This tries a few heuristics based on how obscore or SIA records might be marked up. If will return None if row does not look as if it contained a product access url. Note that the heuristics are tried in sequence; for now, we do not define the sequence of heuristics. """ if hasattr(row, "access_url"): return row.access_url if "access_url" in row: return row["access_url"] access_url = row.getbyutype("obscore:access.reference" ) or row.getbyutype("ssa:Access.Reference") if access_url: return access_url access_url = row.getbyucd("meta.ref.url" ) or row.getbyucd("VOX:Image_AccessReference") if access_url: return access_url @staticmethod def _guess_datalink(row, **kwargs): # TODO: we should be more careful about whitespace, case # and perhaps more parameters in the following comparison if row._results._guess_access_format(row) == DATALINK_MIME_TYPE: access_url = row._results._guess_access_url(row) if access_url is not None: return DatalinkResults.from_result_url(access_url, **kwargs) def _iter_datalinks_from_product_rows(self): """yield datalinks from self's rows if they describe datalink-valued products. """ for row in self: # TODO: we should be more careful about whitespace, case # and perhaps more parameters in the following comparison if self._guess_access_format(row) == DATALINK_MIME_TYPE: access_url = self._guess_access_url(row) if access_url is not None: yield DatalinkResults.from_result_url( access_url, original_row=row) def iter_datalinks(self, preserve_order=False): """ Iterates over all datalinks in a DALResult. Parameters ---------- preserve_order : bool True to return the datalinks keeping the order of the current rows. NOTE: There might be a performance penalty for keeping the order as one request per row is sent to the service. When the order of the datalinks is not important, the execution is optimized to query the service in batches. """ if not hasattr(self, '_datalink'): try: self._datalink = self.get_adhocservice_by_ivoid(DATALINK_IVOID) except DALServiceError: self._datalink = None if self._datalink is None: yield from self._iter_datalinks_from_product_rows() else: yield from self._iter_datalinks_from_dlblock( preserve_order=preserve_order) class DatalinkRecordMixin: """ Mixin for record classes, providing functionallity for datalink. - ``getdataset()`` considers datalink. """ def getdatalink(self): """ Retrieve the datalink information for this record. Returns ------- DatalinkResults The datalink results for this record. Raises ------ DALServiceError If no datalink information is found for this record. """ try: datalink = self._results.get_adhocservice_by_ivoid(DATALINK_IVOID) query = DatalinkQuery.from_resource(self, datalink, session=self._session) return query.execute() except DALServiceError as error: datalink = self._results._guess_datalink(self, session=self._session) if datalink is not None: return datalink else: # re-raise the original error if nothing works raise DALServiceError("No datalink found for record.") from error @stream_decode_content def getdataset(self, timeout=None): try: url = next(self.getdatalink().bysemantics('#this')).access_url response = self._session.get(url, stream=True, timeout=timeout) try: response.raise_for_status() except requests.RequestException as ex: raise DALServiceError.from_except(ex, url) return response.raw except (DALServiceError, ValueError, StopIteration): # this should go to Record.getdataset() return super().getdataset(timeout=timeout) class DatalinkService(DALService, AvailabilityMixin, CapabilityMixin): """ a representation of a Datalink service """ def __init__(self, baseurl, session=None): """ instantiate a Datalink service Parameters ---------- baseurl : str the base URL that should be used for forming queries to the service. session : object optional session to use for network requests """ super().__init__(baseurl, session=session) # Check if the session has an update_from_capabilities attribute. # This means that the session is aware of IVOA capabilities, # and can use this information in processing network requests. # One such usecase for this is auth. if hasattr(self._session, 'update_from_capabilities'): self._session.update_from_capabilities(self.capabilities) def run_sync(self, id, *, responseformat=None, **keywords): """ runs sync query and returns its result Parameters ---------- id : str the dataset identifier responseformat : str the output format Returns ------- DatalinkResults the query result See Also -------- DatalinkResults """ return self.create_query(id, responseformat=responseformat, **keywords).execute() # alias for service discovery search = run_sync def create_query(self, id, *, responseformat=None, **keywords): """ create a query object that constraints can be added to and then executed. The input arguments will initialize the query with the given values. Parameters ---------- id : str the dataset identifier responseformat : str the output format """ return DatalinkQuery( self.baseurl, id=id, responseformat=responseformat, **keywords) class DatalinkQuery(DALQuery): """ A class for preparing a query to a Datalink service. Query constraints are added via its service type-specific methods. The various execute() functions will submit the query and return the results. The base URL for the query, which controls where the query will be sent when one of the execute functions is called, is typically set at construction time; however, it can be updated later via the :py:attr:`~pyvo.dal.DALQuery.baseurl` to send a configured query to another service. A session can also optionally be passed in that will be used for network transactions made by this object to remote services. In addition to the search constraint attributes described below, search parameters can be set generically by name via dict semantics. The typical function for submitting the query is ``execute()``; however, alternate execute functions provide the response in different forms, allowing the caller to take greater control of the result processing. """ @classmethod def from_resource(cls, rows, resource, *, session=None, **kwargs): """ Creates a instance from a number of records and a Datalink Resource. XML Hierarchy: .. code:: xml """ original_row = kwargs.pop("original_row", None) input_params = _get_input_params_from_resource(resource) # get params outside of any group dl_params = _get_params_from_resource(resource) accessurl = _get_accessurl_from_params(dl_params) query_params = dict() for name, input_param in input_params.items(): if input_param.ref: if isinstance(rows, list): query_params[name] = [] for r in rows: query_params[name].append(r[input_param.ref]) else: # scalars are also accepted for backwards compatibility query_params[name] = rows[input_param.ref] elif np.isscalar(input_param.value) and input_param.value: query_params[name] = input_param.value elif ( not np.isscalar(input_param.value) and input_param.value.all() and len(input_param.value) ): query_params[name] = " ".join( str(_) for _ in input_param.value) for name, query_param in kwargs.items(): try: input_param = find_param_by_keyword(name, input_params) if input_param and query_param is None: del query_params[input_param.name] converter = get_converter(input_param) query_params[input_param.name] = converter.serialize( query_param) except KeyError: query_params[name] = query_param return cls( accessurl, session=session, original_row=original_row, **query_params) def __init__( self, baseurl, *, id=None, responseformat=None, session=None, **keywords): """ initialize the query object with the given parameters Parameters ---------- baseurl : str the Datalink baseurl id : str the dataset identifier responseformat : str the output format session : object optional session to use for network requests """ self.original_row = keywords.pop("original_row", None) super().__init__(baseurl, session=session, **keywords) if id is not None: self["ID"] = id if responseformat is not None: self["RESPONSEFORMAT"] = responseformat def execute(self, post=False): """ submit the query and return the results as a DatalinkResults instance Raises ------ DALServiceError for errors connecting to or communicating with the service DALQueryError for errors either in the input query syntax or other user errors detected by the service DALFormatError for errors parsing the VOTable response """ return DatalinkResults( self.execute_votable(post=post), url=self.queryurl, original_row=self.original_row, session=self._session) class DatalinkResults(DatalinkResultsMixin, DALResults): """ The list of matching records resulting from an datalink query. Each record contains a set of metadata that describes an available record matching the query constraints. The number of records in the results is available by passing it to the Python built-in ``len()`` function. This class supports iterable semantics; thus, individual records (in the form of :py:class:`~pyvo.dal.Record` instances) are typically accessed by iterating over an ``DatalinkResults`` instance. Alternatively, records can be accessed randomly via :py:meth:`getrecord` or through a Python Database API (v2) Cursor (via :py:meth:`~pyvo.dal.DALResults.cursor`). Column-based data access is possible via the :py:meth:`~pyvo.dal.DALResults.getcolumn` method. ``DatalinkResults`` is essentially a wrapper around an Astropy :py:mod:`~astropy.io.votable` :py:class:`~astropy.io.votable.tree.TableElement` instance where the columns contain the various metadata describing the images. One can access that VOTable directly via the :py:attr:`~pyvo.dal.DALResults.votable` attribute. Thus, when one retrieves a whole column via :py:meth:`~pyvo.dal.DALResults.getcolumn`, the result is a Numpy array. Alternatively, one can manipulate the results as an Astropy :py:class:`~astropy.table.Table` via the following conversion: ``table = results.to_table()`` ``DatalinkResults`` supports the array item operator ``[...]`` in a read-only context. When the argument is numerical, the result is an :py:class:`~pyvo.dal.Record` instance, representing the record at the position given by the numerical index. If the argument is a string, it is interpreted as the name of a column, and the data from the column matching that name is returned as a Numpy array. """ def __init__(self, *args, **kwargs): self.original_row = kwargs.pop("original_row", None) super().__init__(*args, **kwargs) def getrecord(self, index): """ return a representation of a datalink result record that follows dictionary semantics. The keys of the dictionary are those returned by this instance's fieldnames attribute. The returned record has the additional function ``getdataset`` Parameters ---------- index : int the integer index of the desired record where 0 returns the first record Returns ------- Rec a dictionary-like wrapper containing the result record metadata. Raises ------ IndexError if index is negative or equal or larger than the number of rows in the result table. See Also -------- pyvo.dal.Record """ return DatalinkRecord(self, index, session=self._session) def bysemantics(self, semantics, *, include_narrower=True): """ return the rows with the dataset identified by the given semantics Parameters ---------- semantics: str or list One or more term(s) from the datalink vocabulary (http://www.ivoa.net/rdf/datalink/core). datalink/core terms may be passed in with or without a leading hash. Free URIs may also be passed an and will be compared literally, i.e., without any URI normalisation. include_narrower: boolean If true, the result will include matches for any term that is narrower than the term passed in. Returns ------- Sequence of DatalinkRecord a sequence of dictionary-like wrappers containing the result record """ # If the URL juggling gets any more complicated here, we ought # to bite the bullet and only deal with full URLs. Sigh. if isinstance(semantics, str): semantics = [semantics] core_terms, other_terms = [], [] for term in semantics: if ":" in term: # it's a full URI, see if it's ours if term.startswith("http://www.ivoa.net/rdf/datalink/core#"): core_terms.append(term.split("#", 1)[-1]) else: other_terms.append(term) else: # it's a local term core_terms.append(term.lstrip("#")) if include_narrower: additional_terms = [] voc = vocabularies.get_vocabulary("datalink/core") for term in core_terms: if term in voc["terms"]: additional_terms.extend(voc["terms"][term]["narrower"]) core_terms = core_terms + additional_terms semantics = {"#" + term for term in core_terms} | set(other_terms) for record in self: if record.semantics in semantics: yield record def clone_byid(self, id, *, original_row=None): """ return a clone of the object with results and corresponding resources matching a given id Returns ------- Sequence of DatalinkRecord a sequence of dictionary-like wrappers containing the result record """ copy_tb = copy.deepcopy(self.votable) votable = copy_tb.get_first_table() # find index of ID column id_index = None for index, field in enumerate(votable.fields): if field.name == 'ID': id_index = index rows = [x for x in votable.array if x[id_index] == id] votable.create_arrays(len(rows)) for index, row in enumerate(rows): votable.array[index] = row # now remove unreferenced services from resources referenced_serviced = [x for x in votable.array['service_def'] if x] # remove customized that are not referenced by the current results for x in copy_tb.resources: if x.ID and x.ID not in referenced_serviced: copy_tb.resources.remove(x) return DatalinkResults(copy_tb, original_row=original_row) def getdataset(self, *, timeout=None): """ return the first row with the dataset identified by semantics #this Returns ------- DatalinkRecord a dictionary-like wrapper containing the result record. """ try: return next(self.bysemantics("#this")).getdataset(timeout=timeout) except StopIteration: raise ValueError("No row with semantics #this found!") def iter_procs(self): """ iterate over all rows with a processing service """ for row in self: if row.service_def: yield row def get_first_proc(self): """ returns the first datalink row with a processing service. """ for proc in self.iter_procs(): return proc raise IndexError("No processing service found in datalink result") @classmethod def from_result_url(cls, result_url, *, session=None, original_row=None): res = super().from_result_url(result_url, session=session) res.original_row = original_row return res class SodaRecordMixin: """ Mixin for soda functionality for record classes. If used, it's result class must have `pyvo.dal.adhoc.AdhocServiceResultsMixin` mixed in. """ def _get_soda_resource(self): try: return self._results.get_adhocservice_by_ivoid(SODA_SYNC_IVOID) except DALServiceError: pass dataformat = self.getdataformat() if dataformat is None: raise DALServiceError( "No SODA Resouces available and no dataformat in record. " "Maybe you forgot to include it into the TAP Query?") if "content=datalink" in dataformat: dataurl = self.getdataurl() if not dataurl: raise DALServiceError( "No dataurl in record, but dataformat contains " "'content=datalink'. Maybe you forgot to include it into " "the TAP Query?") try: datalink_result = DatalinkResults.from_result_url(dataurl) return datalink_result.get_adhocservice_by_ivoid( SODA_SYNC_IVOID) except DALServiceError: pass return None def processed( self, *, circle=None, range=None, polygon=None, band=None, **kwargs): """ Returns processed dataset. Parameters ---------- circle : `astropy.units.Quantity` latitude, longitude and radius range : `astropy.units.Quantity` two longitude + two latitude values describing a rectangle polygon : `astropy.units.Quantity` multiple (at least three) pairs of longitude and latitude points band : `astropy.units.Quantity` two bandwidth or frequency values """ soda_resource = self._get_soda_resource() if soda_resource: soda_query = SodaQuery.from_resource( self, soda_resource, circle=circle, range=range, polygon=polygon, band=band, **kwargs) soda_stream = soda_query.execute_stream() soda_query.raise_if_error() return soda_stream else: return self.getdataset() class DatalinkRecord(DatalinkRecordMixin, SodaRecordMixin, Record): """ a dictionary-like container for data in a record from the results of an datalink query, The commonly accessed metadata which are stadardized by the datalink standard are available as attributes. If the metadatum accessible via an attribute is not available, the value of that attribute will be None. All metadata, including non-standard metadata, are acessible via the ``get(`` *key* ``)`` function (or the [*key*] operator) where *key* is table column name. """ @property def id(self): """ Input identifier """ return self.get("ID", decode=True) @property def access_url(self): """ Link to data or processing service """ row_url = self.get("access_url", decode=True) if not row_url: proc_resource = self._results.get_adhocservice_by_id( self.service_def) dl_params = _get_params_from_resource(proc_resource) row_url = _get_accessurl_from_params(dl_params) return row_url @property def service_def(self): """ reference to the service descriptor resource """ return self.get("service_def", decode=True) @property def error_message(self): """ Error if an access_url cannot be created """ return self.get("error_message", decode=True) @property def description(self): """ Human-readable text describing this link """ return self.get("description", decode=True) @property def semantics(self): """ Term from a controlled vocabulary describing the link """ return self.get("semantics", decode=True) @property def content_type(self): """ Mime-type of the content the link returns """ return self.get("content_type", decode=True) @property def content_length(self): """ Size of the download the link returns """ return int(self["content_length"]) def getdataurl(self): """ return the URL contained in the access URL column which can be used to retrieve the dataset described by this record. Raises :py:class:`~pyvo.dal.DALServiceError` if theres an error. """ if self.error_message: raise DALServiceError(self.error_message) return self.access_url def process(self, **kwargs): """ calls the processing service and returns it's result as a file-like object """ proc_resource = self._results.get_adhocservice_by_id(self.service_def) proc_query = DatalinkQuery.from_resource(self, proc_resource, **kwargs) proc_stream = proc_query.execute_stream() return proc_stream @property def params(self): """ the access parameters of the service behind this datalink row. """ proc_resource = self._results.get_adhocservice_by_id(self.service_def) return proc_resource.params @property def input_params(self): """ a list of input parameters for the service behind this datalink row. """ proc_resource = self._results.get_adhocservice_by_id(self.service_def) return list(_get_input_params_from_resource(proc_resource).values()) class AxisParamMixin: """ Stores the axis parameters (pos, band, time and pol) used in SODA or SIA2 queries """ @property def pos(self): if not hasattr(self, '_pos'): self._pos = PosQueryParam() self['POS'] = self._pos.dal return self._pos @property def band(self): if not hasattr(self, '_band'): self._band = IntervalQueryParam(unit=u.meter, equivalencies=u.spectral()) self['BAND'] = self.band.dal return self._band @property def time(self): if not hasattr(self, '_time'): self._time = TimeQueryParam() self['TIME'] = self.time.dal return self._time @property def pol(self): if not hasattr(self, '_pol'): self._pol = EnumQueryParam(POLARIZATION_STATES) self['POL'] = self.pol.dal return self._pol class SodaQuery(DatalinkQuery, AxisParamMixin): """ a class for preparing a query to a SODA Service. """ def __init__( self, baseurl, *, circle=None, range=None, polygon=None, band=None, **kwargs): super().__init__(baseurl, **kwargs) if circle is not None: self.circle = circle if range is not None: self.range = range if polygon is not None: self.polygon = polygon if band is not None: self.band = band @property def circle(self): """ The CIRCLE parameter defines a spatial region using the circle xtype defined in DALI. """ return getattr(self, '_circle', None) @circle.setter def circle(self, circle): if len(circle) != 3: raise ValueError( "Range must be a sequence with exactly three values") self['CIRCLE'] = PosQueryParam().get_dal_format(circle).\ replace('CIRCLE ', '') setattr(self, '_circle', circle) del self.range del self.polygon @circle.deleter def circle(self): if hasattr(self, '_circle'): delattr(self, '_circle') if 'CIRCLE' in self: del self['CIRCLE'] @property def range(self): """ A rectangular range. """ warnings.warn( "Use pos attribute instead", DeprecationWarning ) return getattr(self, '_circle', None) @range.setter def range(self, range): if len(range) != 4: raise ValueError( "Range must be a sequence with exactly four values") self['POS'] = PosQueryParam().get_dal_format(range) setattr(self, '_range', range) del self.circle del self.polygon @range.deleter def range(self): if hasattr(self, '_range'): delattr(self, '_range') if 'POS' in self and self['POS'].startswith('RANGE'): del self['POS'] @property def polygon(self): """ The POLYGON parameter defines a spatial region using the polygon xtype defined in DALI. """ return getattr(self, '_polygon', None) @polygon.setter def polygon(self, polygon): if len(polygon) < 6: raise ValueError( "Polygon must be a sequence of at least six values") self['POLYGON'] = PosQueryParam().get_dal_format(polygon).\ replace('POLYGON ', '') setattr(self, '_polygon', polygon) del self.circle del self.range @polygon.deleter def polygon(self): if hasattr(self, '_polygon'): delattr(self, '_polygon') if 'POLYGON' in self: del self['POLYGON'] @property def band(self): """ The BAND parameter defines the wavelength interval(s) to be extracted from the data using a floating point interval """ return getattr(self, "_band", None) @band.setter def band(self, band): setattr(self, "_band", band) if not isinstance(band, Quantity): valerr = ValueError( 'Band must be specified with exactly two values, ', 'expressing a frequency or wavelength range' ) try: # assume meters band = band * Unit("meter") if len(band) != 2: raise valerr except (ValueError, TypeError): raise valerr # transform to meters band = band.to(Unit("m"), equivalencies=spectral_equivalencies()) # frequency is counter-proportional to wavelength, so we just sort # it to have the right order again band.sort() self["BAND"] = "{start} {end}".format( start=band.value[0], end=band.value[1]) @band.deleter def band(self): if hasattr(self, '_band'): delattr(self, '_band') if 'BAND' in self: del self['BAND'] astropy-pyvo-b70558c/pyvo/dal/dbapi2.py000066400000000000000000000160141510533647000200230ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ An implementation of the Database API v2.0 interface to DAL VOTable responses. This only supports read-only access. """ from .query import Iter apilevel = "2.0" threadsafety = 2 paramstyle = "n/a" __all__ = "STRING BINARY NUMBER DATETIME ROWID".split() class Error(Exception): """ DB-API base exception """ pass class Warning(Exception): """ DB-API warning """ pass class InterfaceError(Error): """ DB-API exception indicating an error related to the database interface rather than the database itself. """ pass class DatabaseError(Error): """ DB-API exception indicating an error related to the database. """ pass class DataError(DatabaseError): """ DB-API exception indicating an error while processing data (e.g. divide by zero, numeric value out-of-range, etc.) """ pass class OperationalError(DatabaseError): """ DB-API exception indicating an error related to the database's operation and not necessarily under the control of the programmer. """ pass class IntegrityError(DatabaseError): """ DB-API exception indicating an inconsistancy in the database integrity. """ pass class InternalError(DatabaseError): """ DB-API exception indicating an internal error that might indicate that a connection or cursor is no longer valid. """ pass class ProgrammingError(DatabaseError): """ DB-API exception indicating an erroneous request (e.g. column not found) """ pass class NotSupportedError(DatabaseError): """ DB-API exception indicating a request is not supported """ pass class TypeObject: def __init__(self, *values): self._values = values @property def id(self): return self._values[0] def __eq__(self, other): if not isinstance(other, TypeObject): return False if other.id in self._values: return True return self.id in other._values def __ne__(self, other): return not self.__eq__(other) STRING = TypeObject(0) BINARY = TypeObject(1) NUMBER = TypeObject(2) DATETIME = TypeObject(3, STRING.id) ROWID = TypeObject(4, NUMBER.id) def connect(source): raise NotSupportedError("Connection objects not supported") class Cursor(Iter): """ A class used to walk through a query response table row by row, accessing the contents of each record (row) of the table. This class implements the Python Database API. """ def __init__(self, results): """Create a cursor instance. The constructor is not typically called by directly applications; rather an instance is obtained from calling a DalQuery's execute(). """ super().__init__(results) self._description = self._mkdesc() self._rowcount = len(self.resultset) self._arraysize = 1 def _mkdesc(self): flds = self.resultset.fieldnames out = [] for name in flds: fld = self.resultset.getdesc(name) typ = STRING if fld.datatype in ("short", "int", "long", "float", "double", "floatComplex", "doubleComplex", "boolean"): typ = NUMBER elif fld.datatype in "char unicodeChar unsignedByte".split(): typ = STRING out.append((name, typ)) return tuple(out) @property def description(self): """ a read-only sequence of 2-item seqences. Each seqence describes a column in the results, giving its name and type_code. """ return self._description @property def rowcount(self): """ the number of rows in the result (read-only) """ return self._rowcount @property def arraysize(self): """ the number of rows that will be returned by returned by a call to fetchmany(). This defaults to 1, but can be changed. """ return self._arraysize @arraysize.setter def arraysize(self, value): if not value: value = 1 self._arraysize = value def infos(self): """Return any INFO elements in the VOTable as a dictionary. Returns ------- dict : A dictionary with each element corresponding to a single INFO, representing the INFO as a name:value pair. """ return self.resultset._infos def fetchone(self): """Return the next row of the query response table. Returns ------- tuple : The response is a tuple wherein each element is the value of the corresponding table field. """ try: rec = self.next() out = [] for name in self.resultset.fieldnames: out.append(rec[name]) return out except StopIteration: return None def fetchmany(self, size=None): """Fetch the next block of rows from the query result. Parameters ---------- size : int The number of rows to return (default: cursor.arraysize). Returns ------- list of tuples : A list of tuples, one per row. An empty sequence is returned when no more rows are available. If a DictCursor is used then the output consists of a list of dictionaries, one per row. """ if not size: size = self.arraysize out = [] for _ in range(size): out.append(self.fetchone()) return out def fetchall(self): """Fetch all remaining rows from the result set. Returns ------- list of tuples : A list of tuples, one per row. An empty sequence is returned when no more rows are available. If a DictCursor is used then the output consists of a list of dictionaries, one per row. """ out = [] for _ in range(self._rowcount - self.pos): out.append(self.fetchone()) return out def scroll(self, value, mode="relative"): """Move the row cursor. Parameters ---------- value : str The number of rows to skip or the row number to position to. mode : str Either "relative" for a relative skip (default), or "absolute" to position to a row by its absolute index within the result set (zero-indexed). """ if mode == "absolute": if value > 0: self.pos = value else: raise DataError("row number not valid:" + str(value)) elif mode == "relative": self.pos += value def close(self): """Close the cursor object and free all resources. This implementation does nothing. It is provided for compliance with the Python Database API. """ # this can remain implemented as "pass" pass astropy-pyvo-b70558c/pyvo/dal/exceptions.py000066400000000000000000000164671510533647000210570ustar00rootroot00000000000000""" DAL Exceptions. """ __all__ = [ "DALAccessError", "DALProtocolError", "DALFormatError", "DALServiceError", "DALQueryError", "DALOverflowWarning"] import re import requests from astropy.utils.exceptions import AstropyUserWarning class DALAccessError(Exception): """ a base class for failures while accessing a DAL service """ _defreason = "Unknown service access error" def __init__(self, reason=None, url=None): """ initialize the exception with an error message Parameters ---------- reason : str a message describing the cause of the error url : str the query URL that produced the error """ if not reason: reason = self._defreason super().__init__(reason) self._reason = reason self._url = url @classmethod def _typeName(cls, exc): try: return exc.__qualname__ except AttributeError: return re.sub( r"'>$", '', re.sub(r"<(type|class) '(.*\.)?", '', str(type(exc))) ) def __str__(self): return self._reason def __repr__(self): return f"{self._typeName(self)}: {self._reason}" @property def reason(self): """ a string description of what went wrong """ return self._reason @property def url(self): """ the URL that produced the error. If None, the URL is unknown or unset """ return self._url class DALProtocolError(DALAccessError): """ a base exception indicating that a DAL service responded with an error. This can be either an HTTP protocol error or a response format error; both of these are handled by separate subclasses. This base class captures an underlying exception clause. """ _defreason = "Unknown DAL Protocol Error" def __init__(self, reason=None, cause=None, url=None): """ initialize with a string message and an optional HTTP response code Parameters ---------- reason : str a message describing the cause of the error cause : Exception an exception issued as the underlying cause. A value of None indicates that no underlying exception was caught. url : str the query URL that produced the error """ super().__init__(reason, url) self._cause = cause @property def cause(self): """ a string description of what went wrong """ return self._cause class DALFormatError(DALProtocolError): """ an exception indicating that a DAL response contains fatal format errors. This would include XML or VOTable format errors. """ _defreason = "Unknown VOTable Format Error" def __init__(self, cause=None, url=None, reason=None): """ create the exception Parameters ---------- cause : Exception an exception issued as the underlying cause. A value of None indicates that no underlying exception was caught. url the query URL that produced the error reason a message describing the cause of the error """ if cause and not reason: reason = "{}: {}".format( DALAccessError._typeName(cause), str(cause)) super().__init__(reason, cause, url) class DALServiceError(DALProtocolError): """ an exception indicating a failure communicating with a DAL service. Most typically, this is used to report DAL queries that result in an HTTP error. """ _defreason = "Unknown service error" def __init__(self, reason=None, code=None, cause=None, url=None): """ initialize with a string message and an optional HTTP response code Parameters ---------- reason : str a message describing the cause of the error code : int the HTTP error code (as an integer) cause : Exception an exception issued as the underlying cause. A value of None indicates that no underlying exception was caught. url : str the query URL that produced the error """ super().__init__(reason, cause, url) self._code = code @property def code(self): """ the HTTP error code that resulted from the DAL service query, indicating the error. If None, the service did not produce an HTTP response. """ return self._code @classmethod def from_except(cls, exc, url=None): """ create and return DALServiceError exception appropriate for the given exception that represents the underlying cause. """ if isinstance(exc, requests.exceptions.RequestException): try: response = exc.response except AttributeError: response = None code = 0 message = str(exc) # if there is a response, refine the error message if response is not None: code = response.status_code content_type = response.headers.get('content-type', None) if content_type and 'text/plain' in content_type: message = f'{response.text} for {url}' # TODO votable handling return DALServiceError(message, code, exc, url) elif isinstance(exc, Exception): return DALServiceError(f"{cls._typeName(exc)}: {str(exc)}", cause=exc, url=url) else: raise TypeError("from_except: expected Exception") class DALQueryError(DALAccessError): """ an exception indicating an error by a working DAL service while processing a query. Generally, this would be an error that the service successfully detected and consequently was able to respond with a legal error response-- namely, a VOTable document with an INFO element contains the description of the error. Possible errors will include bad usage by the client, such as query-syntax errors. """ _defreason = "Unknown DAL Query Error" def __init__(self, reason=None, label=None, url=None): """ Parameters ---------- reason : str a message describing the cause of the error. This should be set to the content of the INFO error element. label : str the identifying name of the error. This should be the value of the INFO element's value attribute within the VOTable response that describes the error. url : str the query URL that produced the error """ super().__init__(reason, url) self._label = label @property def label(self): """ the identifing name for the error given in the DAL query response. DAL queries that produce an error which is detectable on the server will respond with a VOTable containing an INFO element that contains the description of the error. This property contains the value of the INFO's value attribute. """ return self._label class PyvoUserWarning(AstropyUserWarning): pass class DALOverflowWarning(UserWarning): pass astropy-pyvo-b70558c/pyvo/dal/mimetype.py000066400000000000000000000066041510533647000205170ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ A module for parsing and working with mimetypes """ import mimetypes from email.message import Message from astropy.io.fits import HDUList from ..utils.http import use_session mimetypes.add_type('application/fits', '.fits') mimetypes.add_type('application/x-fits', '.fits') mimetypes.add_type('image/fits', '.fits') mimetypes.add_type('text/plain', '.txt') def mime2extension(mimetype, default=None): """ return a recommended file extension for a file with a given MIME-type. This function provides some generic mappings that can be leveraged in implementations of ``suggest_extension()`` in ``Record`` subclasses. >>> mime2extension('application/fits') 'fits' >>> mime2extension('image/jpeg') 'jpg' >>> mime2extension('application/x-zed', 'dat') 'dat' Parameters ---------- mimetype : str the file MIME-type byte-string to convert default : str the default extension to return if one could not be recommended based on ``mimetype``. By convention, this should not include a preceding '.' Returns ------- str the recommended extension without a preceding '.', or the value of ``default`` if no recommendation could be made. """ if not mimetype: return default if isinstance(mimetype, bytes): mimetype = mimetype.decode('utf-8') ext = mimetypes.guess_extension(mimetype, strict=False) if ext is None: return default return ext.lstrip(".") def mime_object_maker(url, mimetype, *, session=None): """ return a data object suitable for the mimetype given. this will either return a astropy fits object or a pyvo DALResults object, a PIL object for conventional images or string for text content. Parameters ---------- url : str the object download url mimetype : str the content mimetype session : object optional session to use for network requests Raises ------ ValueError if the mimetype is missing or cannot be parsed correctly """ if not mimetype: raise ValueError('mimetype required') session = use_session(session) msg = Message() msg['content-type'] = mimetype pp = msg.get_params() full_type = pp[0][0] params = pp[1:] mtype = [x.strip() for x in full_type.split('/')] if '/' in full_type else None if not mtype or len(mtype) > 2: raise ValueError(f"Can't parse mimetype \"{full_type}\"") if mtype[0] == 'text': return session.get(url).text if mtype[1] == 'fits' or mtype[1] == 'x-fits': response = session.get(url) return HDUList.fromstring(response.content) if mtype[0] == 'image': from PIL import Image from io import BytesIO response = session.get(url) bio = BytesIO(response.content) return Image.open(bio) if mtype[1] == 'x-votable' or mtype[1] == 'x-votable+xml': # As soon as there are some kind of recursive data structures, # things start to get messy for param in params: if (param[0].lower() == 'content') and (param[1].lower() == 'datalink'): from .adhoc import DatalinkResults return DatalinkResults.from_result_url(url) from .query import DALResults return DALResults.from_result_url(url) astropy-pyvo-b70558c/pyvo/dal/params.py000066400000000000000000000344271510533647000201550ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ This file contains functionallity related to VOTABLE Params. """ import numpy as np from collections.abc import MutableSet import abc from astropy import units as u from astropy.coordinates import SkyCoord from astropy.units import Quantity, Unit from astropy.time import Time from astropy.io.votable.converters import ( get_converter as get_votable_converter) from .exceptions import DALServiceError NUMERIC_DATATYPES = {'short', 'int', 'long', 'float', 'double'} def find_param_by_keyword(keyword, params): """ Searches for a specific param by keyword. This function will try to look for the keyword as-is first, and then tries to find the uppercase'd version of the keyword. """ if keyword in params: return params[keyword] keyword = keyword.upper() if keyword in params: return params[keyword] raise KeyError(f'No param named {keyword} defined') registry = dict() def xtype(name): def decorate(cls): registry[name] = cls return cls return decorate def unify_value(func): """ Decorator for serialize method to do unit conversion on input value. The decorator converts the input value to the unit in the input param. """ def wrapper(self, value): if self._param.unit: value = Quantity(value) if not value.unit.to_string(): value = value * Unit(self._param.unit) else: value = value.to(self._param.unit) if isinstance(value, Quantity): value = value.value return func(self, value) return wrapper def get_converter(param): if param.xtype in registry: return registry[param.xtype](param) if param.datatype in NUMERIC_DATATYPES: return Number(param) return Converter(param) class Converter: """ Base class for all converters. Each subclass handles the conversion of a input value based on a specific xtype. """ def __init__(self, param): self._param = param def serialize(self, value): """ Serialize for use in DAL Queries """ if isinstance(value, list): # multiple values return [str(_) for _ in value] else: return str(value) class Number(Converter): def __init__(self, param): if param.datatype not in {'short', 'int', 'long', 'float', 'double'}: pass super().__init__(param) @unify_value def serialize(self, value): """ Serialize for use in DAL Queries """ return get_votable_converter(self._param).output( value, np.zeros_like(value)) @xtype('timestamp') class Timestamp(Converter): def __init__(self, param): if param.datatype != 'char': raise DALServiceError('Datatype is not char') super().__init__(param) def serialize(self, value): """ Serialize time values for use in DAL Queries """ value = Time(value) if value.size == 1: return value.isot else: raise DALServiceError('Expecting a scalar time value') @xtype('interval') class Interval(Number): def __init__(self, param): try: arraysize = int(param.arraysize) if arraysize % 2: raise DALServiceError('Arraysize is not even') except ValueError: raise DALServiceError('Arraysize is not even') super().__init__(param) @unify_value def serialize(self, value): size = np.size(value) if size % 2: raise DALServiceError('Interval size is not even') return super().serialize(value) @xtype('point') class Point(Number): def __init__(self, param): try: arraysize = int(param.arraysize) if arraysize != 2: raise DALServiceError('Point arraysize must be 2') except ValueError: raise DALServiceError('Point arraysize must be 2') super().__init__(param) @unify_value def serialize(self, value): size = np.size(value) if size != 2: raise DALServiceError('Point size must be 2') return super().serialize(value) @xtype('circle') class Circle(Number): def __init__(self, param): arraysize = int(param.arraysize) if arraysize != 3: raise DALServiceError('Circle arraysize must be 3') super().__init__(param) @unify_value def serialize(self, value): size = np.size(value) if size != 3: raise DALServiceError('Circle size must be 3') return super().serialize(value) @xtype('polygon') class Polygon(Number): def __init__(self, param): try: arraysize = int(param.arraysize) if arraysize % 3: raise DALServiceError('Arraysize is not a multiple of 3') except ValueError: if param.arraysize != '*': raise DALServiceError('Arraysize is not a multiple of 3') super().__init__(param) @unify_value def serialize(self, value): size = np.size(value) try: if size % 3: raise DALServiceError('Size is not a multiple of 3') except ValueError: raise DALServiceError('Size is not a multiple of 3') return super().serialize(value) class AbstractDalQueryParam(MutableSet, metaclass=abc.ABCMeta): """ Base class for a DAL parameter. In general, a DAL parameter allows for multiple values which are OR-ed by the service. As such, the class behaves like a set that stores all the values. When a value is added to an attribute, it is validated and formatted to conform to the using service (SIA2 or SODA) and value errors might be raised. The `dal` attribute stores the current list of formatted attributes. Subclasses must override the `dal_formatter` method that formats values for serialization. That includes unit conversions and string representation Duplicates in the set are determine based on the formatted DAL representation of the value. """ def __init__(self, values=()): """ Parameters ---------- values : sequence, optional An initial set of values. """ self.dal = [] self._data = [] for item in values: self.add(item) super().__init__() @abc.abstractmethod def get_dal_format(self, item): """ Method to be provided by subclasses """ return def add(self, item): if item in self: return self._data.append(item) self.dal.append(self.get_dal_format(item)) def discard(self, item): # relies on the fact that both the raw and the formatted # attribute lists have the items in the same order. It # uses the formatted list (normalized units) to get the index. index = self.dal.index(self.get_dal_format(item)) self._data.pop(index) self.dal.pop(index) def __iter__(self): return iter(self._data) def __len__(self): return len(self._data) def __contains__(self, item): # check dal format for duplications since the quantities are known return self.get_dal_format(item) in self.dal class StrQueryParam(AbstractDalQueryParam): """ Representation of a unitless, single-value parameter. The formatter is just a str() cast """ def get_dal_format(self, val): return str(val) class PosQueryParam(AbstractDalQueryParam): """ Representation of a position parameter. Depending on the number of entries, the resulting DAL format is CIRCLE, RANGE or POLYGON. """ def get_dal_format(self, val): """ formats the tuple values into a string to be sent to the service entries in values are either quantities or assumed to be degrees """ self._validate_pos(val) if len(val) == 2 or len(val) == 3: shape = 'CIRCLE' elif len(val) == 4: shape = 'RANGE' elif len(val) > 5 and not len(val) % 2: shape = 'POLYGON' else: raise ValueError( 'Invalid shape {}. Tuple with 3 (CIRCLE), 4 (RANGE) or ' 'even 6 and above (POLYGON) accepted.'.format(val)) return '{} {}'.format(shape, ' '.join( [str(val.to(u.deg).value) if isinstance(val, Quantity) else val.transform_to('icrs').to_string() if isinstance(val, SkyCoord) else str((val * u.deg).value) for val in val])) def _validate_pos(self, pos): """ validates position This has probably been done already somewhere else """ if isinstance(pos, SkyCoord) and pos.size < 4: raise ValueError("radius should be provided in the pos tuple " "for CIRCLE searches.") if len(pos) == 2: if not isinstance(pos[0], SkyCoord): raise ValueError("a 2-length pos should be a coordinate and a radius") if not isinstance(pos[1], Quantity): radius = pos[1] * u.deg else: radius = pos[1] if radius <= 0 * u.deg or radius.to(u.deg) > 90 * u.deg: raise ValueError(f'Invalid circle radius: {radius}') elif len(pos) == 3: self._validate_ra(pos[0]) self._validate_dec(pos[1]) if not isinstance(pos[2], Quantity): radius = pos[2] * u.deg else: radius = pos[2] if radius <= 0 * u.deg or radius.to(u.deg) > 90 * u.deg: raise ValueError(f'Invalid circle radius: {radius}') elif len(pos) == 4: ra_min = pos[0] if isinstance(pos[0], Quantity) else pos[0] * u.deg ra_max = pos[1] if isinstance(pos[1], Quantity) else pos[1] * u.deg dec_min = pos[2] if isinstance(pos[2], Quantity) \ else pos[2] * u.deg dec_max = pos[3] if isinstance(pos[3], Quantity) \ else pos[3] * u.deg self._validate_ra(ra_min) self._validate_ra(ra_max) if ra_max.to(u.deg) < ra_min.to(u.deg): raise ValueError('min > max in ra range: {} > {}'. format(ra_min, ra_max)) self._validate_dec(dec_min) self._validate_dec(dec_max) if dec_max.to(u.deg) < dec_min.to(u.deg): raise ValueError('min > max in dec range: {} > {}'. format(dec_min, dec_max)) else: for i, m in enumerate(pos): if i % 2: self._validate_dec(m) else: self._validate_ra(m) def _validate_ra(self, ra): ra = Quantity(ra, u.deg) if ra.to(u.deg).value < 0 or ra.to(u.deg).value > 360.0: raise ValueError(f'Invalid ra: {ra}') def _validate_dec(self, dec): dec = Quantity(dec, u.deg) if dec.to(u.deg).value < -90.0 or dec.to(u.deg).value > 90.0: raise ValueError(f'Invalid dec: {dec}') class IntervalQueryParam(AbstractDalQueryParam): """ Representation of an interval DAL parameter. """ def __init__(self, unit=None, equivalencies=None): """ Parameters ---------- unit : `astropy.unit` Unit this paramter is represented in DAL format equivalencies: list List of equivalencies for unit conversion """ self._unit = unit self._equivalencies = equivalencies super().__init__() def get_dal_format(self, val): if isinstance(val, (tuple, Quantity)): if len(val) == 1: high = low = val[0] elif len(val) == 2: low = val[0] high = val[1] else: raise ValueError('Too few/many values in interval attribute: {}'. format(val)) else: high = low = val if isinstance(low, (int, float)) and isinstance(high, (int, float))\ and low > high: raise ValueError('Invalid interval: min({}) > max({})'.format( low, high)) if self._unit: if not isinstance(low, Quantity): low = u.Quantity(low, self._unit) low = low.to(self._unit, equivalencies=self._equivalencies).value if not isinstance(high, Quantity): high = Quantity(high, self._unit) high = high.to(self._unit, equivalencies=self._equivalencies).value if low > high: # interval could become invalid during transform (e.g. GHz->m) low, high = high, low return f'{low} {high}' class TimeQueryParam(AbstractDalQueryParam): """ Representation of a timestamp parameter. """ def get_dal_format(self, val): if isinstance(val, tuple): if len(val) == 1: max_time = min_time = val[0] elif len(val) == 2: min_time = val[0] max_time = val[1] else: raise ValueError('Too few/many members in time attribute: {}'. format(val)) else: max_time = min_time = val if not isinstance(min_time, Time): min_time = Time(min_time) if not isinstance(max_time, Time): max_time = Time(max_time) if min_time > max_time: raise ValueError('Invalid time interval: min({}) > max({})'.format( min_time, max_time )) return f'{min_time.mjd} {max_time.mjd}' class EnumQueryParam(AbstractDalQueryParam): """ Representation of an enum parameter """ def __init__(self, allowed_values): """ Parameters ---------- allowed_values : sequence Sequence of allowed values for the enum """ self._allowed = allowed_values super().__init__() def get_dal_format(self, val): if val not in self._allowed: raise ValueError('{} not a valid value from: {}'. format(val, self._allowed)) return str(val) astropy-pyvo-b70558c/pyvo/dal/query.py000066400000000000000000001102341510533647000200260ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ A module for walking through the query response of VO data access layer (DAL) queries and general VOTable-based datasets. Most data queries in the VO return a table as a result, usually formatted as a VOTable. Each row of the table describes a single physical or virtual dataset which can be retrieved. For uniformity, datasets are described via standard metadata defined by a data model specific to the type of data being queried. The fields of the data model are identified most generally by their VOClient alias as defined in this interface, or at a lower level by the Utype or UCD of the specific standard and version of the standard being queried. While the data model differs depending upon the type of data being queried, the form of the query response is the same for all classes of data, allowing a common query response interface to be used. An exception to this occurs when querying an astronomical catalog or other externally defined table. In this case there is no VO defined standard data model. Usually the field names are used to uniquely identify table columns. """ __all__ = ["DALService", "DALServiceError", "DALQuery", "DALQueryError", "DALResults", "Record", "UploadList"] import os import shutil import re import requests from collections.abc import Mapping from io import BytesIO, StringIO import collections from warnings import warn from astropy.table import Table, QTable from astropy.io.votable import parse as votableparse from astropy.io.votable.ucd import parse_ucd from astropy.utils.exceptions import AstropyDeprecationWarning from .mimetype import mime_object_maker from .exceptions import (DALFormatError, DALServiceError, DALQueryError, DALOverflowWarning) from .. import samp from ..utils.decorators import stream_decode_content from ..utils.http import use_session class DALService: """ an abstract base class representing a DAL service located a particular endpoint. """ def __init__(self, baseurl, *, session=None, capability_description=None,): """ instantiate the service connecting it to a base URL Parameters ---------- baseurl : str the base URL that should be used for forming queries to the service. session : object optional session to use for network requests capability_description : str, optional the description of the service. """ self._baseurl = baseurl self._capability_description = capability_description self._session = use_session(session) @property def baseurl(self): """ the base URL identifying the location of the service and where queries are submitted (read-only) """ return self._baseurl @property def capability_description(self): """ The service description. """ return self._capability_description def __repr__(self) -> str: return (f"{type(self).__name__}(baseurl : '{self.baseurl}'," f" description : '{self.capability_description}')") def search(self, **keywords): """ send a search query to this service. This implementation has no knowledge of the type of service being queried. The query parameters are given as arbitrary keywords which will be assumed to be understood by the service (i.e. there is no argument checking). The response is a generic DALResults object. Raises ------ DALServiceError for errors connecting to or communicating with the service DALQueryError for errors either in the input query syntax or other user errors detected by the service DALFormatError for errors parsing the VOTable response """ q = self.create_query(**keywords) return q.execute() def create_query(self, **keywords): """ create a query object that constraints can be added to and then executed. Returns ------- DALQuery a generic query object """ q = DALQuery(self.baseurl, session=self._session, **keywords) return q def describe(self): """ describe the general information about the DAL service """ print(f'DAL Service at {self.baseurl}') class DALQuery(dict): """ a class for preparing a query to a particular service. Query constraints are added via its service type-specific methods. The various execute() functions will submit the query and return the results. The base URL for the query can be changed via the baseurl property. A session can also optionally be passed in that will be used for network transactions made by this object to remote services. """ _ex = None def __init__(self, baseurl, *, session=None, **keywords): """ initialize the query object with a baseurl """ if isinstance(baseurl, bytes): baseurl = baseurl.decode("utf-8") self._baseurl = baseurl.rstrip("?") self._session = use_session(session) self.update({key.upper(): value for key, value in keywords.items()}) @property def baseurl(self): """ the base URL that this query will be sent to when one of the execute functions is called. """ return self._baseurl def execute(self): """ submit the query and return the results as a Results subclass instance Raises ------ DALServiceError for errors connecting to or communicating with the service DALQueryError for errors either in the input query syntax or other user errors detected by the service DALFormatError for errors parsing the VOTable response """ return DALResults(self.execute_votable(), url=self.queryurl, session=self._session) def execute_raw(self): """ submit the query and return the raw response as a string. No exceptions are raised here because non-2xx responses might still contain payload. They can be raised later by calling ``raise_if_error`` """ f = self.execute_stream() out = None try: out = f.read() finally: f.close() return out @stream_decode_content def execute_stream(self, *, post=False): """ Submit the query and return the raw response as a file stream. No exceptions are raised here because non-2xx responses might still contain payload. They can be raised later by calling ``raise_if_error`` """ response = self.submit(post=post) try: response.raise_for_status() except requests.RequestException as ex: # save for later use self._ex = ex return response.raw def submit(self, *, post=False): """ does the actual request """ url = self.queryurl params = {k: v for k, v in self.items()} if post: response = self._session.post(url, data=params, stream=True, allow_redirects=True) else: response = self._session.get(url, params=params, stream=True, allow_redirects=True) return response def execute_votable(self, *, post=False): """ Submit the query and return the results as an AstroPy votable instance. As this is the level where qualified error messages are available, they are raised here instead of in the underlying execute_stream. Returns ------- astropy.io.votable.tree.VOTableFile an Astropy votable object Raises ------ DALServiceError for errors connecting to or communicating with the service DALFormatError for errors parsing the VOTable response See Also -------- astropy.io.votable DALServiceError DALFormatError DALQueryError """ try: return votableparse(self.execute_stream(post=post).read) except Exception as e: self.raise_if_error() raise DALFormatError(e, self.queryurl) def raise_if_error(self): """ Raise if there was an error on http level. """ if self._ex: e = self._ex raise DALServiceError.from_except(e, self.queryurl) @property def queryurl(self): """ The URL that encodes the current query. This is the URL that the execute functions will use if called next. """ return self.baseurl class DALResults: """ Results from a DAL query. It provides random access to records in the response. Alternatively, it can provide results via a Cursor (compliant with the Python Database API) or an iterable. """ @classmethod @stream_decode_content def _from_result_url(cls, result_url, session): return session.get(result_url, stream=True).raw @classmethod def from_result_url(cls, result_url, *, session=None): """ Create a result object from a url. Uses the optional session to make the request. """ session = use_session(session) return cls( votableparse(cls._from_result_url(result_url, session).read), url=result_url, session=session) def __init__(self, votable, *, url=None, session=None, client_set_maxrec=None): """ initialize the cursor. This constructor is not typically called by directly applications; rather an instance is obtained from calling a DALQuery's execute(). Parameters ---------- votable : astropy.io.votable.tree.VOTableFile the service response parsed into an astropy.io.votable.tree.VOTableFile instance. url : str the URL that produced the response session : object optional session to use for network requests client_set_maxrec: int the maximum number of records that were requested by the client. Raises ------ DALFormatError if the response VOTable does not contain a response table See Also -------- pyvo.dal.DALFormatError """ self._votable = votable self._url = url self._session = use_session(session) self._client_set_maxrec = client_set_maxrec self._status = self._findstatus(votable) if self._status[0].lower() not in ("ok", "overflow"): raise DALQueryError(self._status[1], self._status[0], url) if self._status[0].lower() == "overflow": self._handle_overflow_warning(client_set_maxrec) self._resultstable = self._findresultstable(votable) if not self._resultstable: raise DALFormatError( reason="VOTable response missing results table", url=url) self._fldnames = tuple( field.name for field in self._resultstable.fields) if not self._fldnames: raise DALFormatError( reason="response table missing column descriptions.", url=url) self._infos = self._findinfos(votable) def _handle_overflow_warning(self, client_set_maxrec=None): """ Handle overflow warning - can be overridden by subclasses. Default implementation issues a generic overflow warning. Subclasses can override this to customize or suppress warnings. Parameters ---------- client_set_maxrec : int, optional The maximum records requested by the client """ warn("Result set limited by user- or server-supplied MAXREC " "parameter.", category=DALOverflowWarning) def check_overflow_warning(self, client_set_maxrec=None): """ Check for overflow warnings and issue them if appropriate. It will check if the results were truncated due to server limits and issue a warning if the number of records returned is less than the maximum records requested by the user. If the results were truncated it distinguishes between expected truncation (where the user requested a maxrec) and unexpected truncation (where the user did not specify a maxrec). If the results were truncated it issues a warning. Parameters ---------- client_set_maxrec : int, optional The maximum records explicitly requested by the client """ if self._status[0].lower() == "overflow": maxrec_to_check = client_set_maxrec if client_set_maxrec is not None else self._client_set_maxrec if (maxrec_to_check is not None and len(self.resultstable.array) == maxrec_to_check): pass else: if maxrec_to_check is not None: warn(f"Results truncated at {len(self.resultstable.array)} records by service limits " f"(you requested maxrec={maxrec_to_check})", category=DALOverflowWarning) else: warn("Results truncated due to server limits. Consider " "setting a maxrec value.", category=DALOverflowWarning) def _findresultstable(self, votable): # this can be overridden to specialize for a particular DAL protocol res = self._findresultsresource(votable) if not res or len(res.tables) < 1: return None return res.tables[0] def _findresultsresource(self, votable): # this can be overridden to specialize for a particular DAL protocol if len(votable.resources) < 1: return None for res in votable.resources: if res.type.lower() == "results": return res return votable.resources[0] def _findstatus(self, votable): # this can be overridden to specialize for a particular DAL protocol # look first in the result resource res = self._findresultsresource(votable) if res: # should be a RESOURCE/INFO info = self._findstatusinfo(res.infos) if info: return (info.value, info.content) # if not there, check inside first table if len(res.tables) > 0: info = self._findstatusinfo(res.tables[0].infos) if info: return (info.value, info.content) # otherwise, look just below the root element info = self._findstatusinfo(votable.infos) if info: return (info.value, info.content) # assume it's okay return ("OK", "QUERY_STATUS not specified") def _findstatusinfo(self, infos): # this can be overridden to specialize for a particular DAL protocol status = None # return the last status to catch potential overflow or error sent # after the results. for info in infos: if info.name.lower() == 'query_status': status = info return status def _findinfos(self, votable): # this can be overridden to specialize for a particular DAL protocol infos = {} res = self._findresultsresource(votable) for info in res.infos: infos[info.name] = info.value for info in votable.infos: infos[info.name] = info.value return infos def __repr__(self): return f" 0: # find the last file written of the form, base-n.ext while n > 0 and not os.path.exists(mkpath(n)): n -= 1 if n > 0: n += 1 if n == 0: # never wrote a file of form, base-n.ext; try base.ext path = os.path.join(dir, f"{base}.{ext}") if not os.path.exists(path): return path n += 1 # find next available name while os.path.exists(mkpath(n)): n += 1 self._dsname_no = n return mkpath(n) def suggest_dataset_basename(self): """ return a default base filename that the dataset available via ``getdataset()`` can be saved as. This function is specialized for a particular service type this record originates from so that it can be used by ``cachedataset()`` via ``make_dataset_filename()``. """ # abstract; specialized for the different service types return "dataset" def suggest_extension(self, *, default=None): """ returns a recommended filename extension for the dataset described by this record. Typically, this would look at the column describing the format and choose an extension accordingly. This function is specialized for a particular service type this record originates from so that it can be used by ``cachedataset()`` via ``make_dataset_filename()``. """ # abstract; specialized for the different service types return default class Iter: def __init__(self, res): self.resultset = res self.pos = 0 def __iter__(self): return self def __next__(self): try: out = self.resultset.getrecord(self.pos) self.pos += 1 return out except IndexError: raise StopIteration() next = __next__ class Upload: """ This class represents a DALI Upload as described in http://www.ivoa.net/documents/DALI/20161101/PR-DALI-1.1-20161101.html#tth_sEc3.4.5 """ def __init__(self, name, content): """ Initialise the Upload object with the given parameters Parameters ---------- name : str Tablename for use in queries content : object If its a file-like object, a string pointing to a local file, a `DALResults` object or a astropy table, `is_inline` will be true and it will expose a file-like object under `fileobj` Otherwise it exposes a URI under `uri` """ try: self._is_file = os.path.isfile(content) except Exception: self._is_file = False self._is_fileobj = hasattr(content, "read") self._is_table = isinstance(content, Table) self._is_resultset = isinstance(content, DALResults) self._inline = any(( self._is_file, self._is_fileobj, self._is_table, self._is_resultset, )) self._name = name self._content = content @property def is_inline(self): """ True if the upload can be inlined """ return self._inline @property def name(self): return self._name def fileobj(self): """ A file-like object for a local resource Raises ------ ValueError if theres no valid local resource """ if not self.is_inline: raise ValueError( "Upload {name} doesn't refer to a local resource".format( name=self.name)) # astropy table if isinstance(self._content, Table): fileobj = BytesIO() self._content.write(output=fileobj, format="votable") fileobj.seek(0) return fileobj elif isinstance(self._content, (BytesIO, StringIO)): return self._content elif isinstance(self._content, DALResults): fileobj = BytesIO() table = self._content.to_table() table.write(output=fileobj, format="votable") fileobj.seek(0) return fileobj fileobj = open(self._content) return fileobj def uri(self): """ The URI pointing to the result """ # TODO: use a async job base class instead of hasattr for inspection if hasattr(self._content, "result_uri"): self._content.raise_if_error() uri = self._content.result_uri else: uri = str(self._content) return uri def query_part(self): """ The query part for use in DALI requests """ if self.is_inline: value = "{name},param:{name}" else: value = "{name},{uri}" return value.format(name=self.name, uri=self.uri()) class UploadList(list): """ This class extends the native python list with utility functions for upload handling """ @classmethod def fromdict(cls, dct): """ Constructs a upload list from a dictionary with table_name: content """ return cls(Upload(key, value) for key, value in dct.items()) def param(self): """ Returns a string suitable for use in UPLOAD parameters """ return ";".join(upload.query_part() for upload in self) _image_mt_re = re.compile(r'^image/(\w+)') _text_mt_re = re.compile(r'^text/(\w+)') _votable_mt_re = re.compile(r'^(\w+)/(x-)?votable(\+\w+)?') astropy-pyvo-b70558c/pyvo/dal/scs.py000066400000000000000000000452201510533647000174530ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ A module for searching remote source and observation catalogs A Simple Cone Search (SCS) service allows a client to search for records in a source or observation catalog whose positions are within some minimum distance of a search position (i.e. within a specified "cone" on the sky). This module provides an interface for accessing such services. It is implemented as a specialization of the DAL Query interface. The ``search()`` function provides a simple interface to a service, returning an SCSResults instance as its results which represents the matching records from the catalog. The SCSResults supports access to and iterations over the individual records; these are provided as SCSRecord instances, which give easy access to key metadata in the response, including the ICRS position of the matched source or observation. This module also features the SCSQuery class that provides an interface for building up and remembering a query. The SCSService class can represent a specific service available at a URL endpoint. """ from pyvo.io.vosi.vodataservice import TableParam from astropy.coordinates import SkyCoord from astropy.units import Unit, Quantity from astropy.io.votable.tree import Field from astropy.table import Table from .query import DALResults, DALQuery, DALService, Record from .adhoc import DatalinkResultsMixin, DatalinkRecordMixin __all__ = ["search", "SCSService", "SCSQuery", "SCSResults", "SCSRecord"] def search(url, pos, radius=1.0, *, verbosity=2, **keywords): """ submit a simple Cone Search query that requests objects or observations whose positions fall within some distance from a search position. Parameters ---------- url : str the base URL of the query service. pos : astropy.coordinates.SkyCoord a SkyCoord instance defining the position of the center of the circular search region. converted if it's a iterable containing scalars, assuming icrs degrees. radius : `~astropy.units.Quantity` or float a Quantity instance defining the radius of the circular search region, in degrees. converted if it is another unit. verbosity : int an integer value that indicates the volume of columns to return in the result table. 0 means the minimum set of columsn, and 3 means as many columns as are available. **keywords : additional case insensitive parameters can be given via arbitrary case insensitive keyword arguments. Where there is overlap with the parameters set by the other arguments to this function, these keywords will override. Returns ------- SCSResults a container holding a table of matching catalog records Raises ------ DALServiceError for errors connecting to or communicating with the service. DALQueryError if the service responds with an error, including a query syntax error. See Also -------- SCSResults pyvo.dal.DALServiceError pyvo.dal.DALQueryError """ return SCSService(url).search(pos=pos, radius=radius, verbosity=verbosity, **keywords) class SCSService(DALService): """ a representation of a Cone Search service """ def __init__(self, baseurl, *, capability_description=None, session=None): """ instantiate a Cone Search service Parameters ---------- baseurl : str the base URL for submitting search queries to the service. session : object optional session to use for network requests """ super().__init__(baseurl, capability_description=capability_description, session=session) def _get_metadata(self): """ download the metadata resource """ if not hasattr(self, '_metadata'): query = self.create_query(pos=(0, 0), radius=0) metadata = query.execute_votable() setattr(self, '_metadata', metadata) @property def description(self): """ the service description. """ self._get_metadata() try: return getattr(self, '_metadata').description except AttributeError: return None @property def columns(self): """ the available columns on this service """ self._get_metadata() fields = filter( lambda field_or_param: isinstance(field_or_param, Field), self._metadata.iter_fields_and_params() ) try: return [ TableParam.from_field(field) for field in fields] except AttributeError: return [] def search(self, pos, radius=1.0, *, verbosity=2, **keywords): """ submit a simple Cone Search query that requests objects or observations whose positions fall within some distance from a search position. Parameters ---------- pos : astropy.coordinates.SkyCoord a SkyCoord instance defining the position of the center of the circular search region. converted if it's a iterable containing scalars, assuming icrs degrees. radius : `~astropy.units.Quantity` or float a Quantity instance defining the radius of the circular search region, in degrees. converted if it is another unit. verbosity : int an integer value that indicates the volume of columns to return in the result table. 0 means the minimum set of columns, 3 means as many columns as are available. **keywords : additional case insensitive parameters can be given via arbitrary case insensitive keyword arguments. Where there is overlap with the parameters set by the other arguments to this function, these keywords will override. Returns ------- SCSResults a container holding a table of matching catalog records Raises ------ DALServiceError for errors connecting to or communicating with the service DALQueryError if the service responds with an error, including a query syntax error. See Also -------- SCSResults pyvo.dal.DALServiceError pyvo.dal.DALQueryError """ return self.create_query(pos=pos, radius=radius, verbosity=verbosity, **keywords).execute() def create_query(self, pos=None, radius=None, *, verbosity=None, **keywords): """ create a query object that constraints can be added to and then executed. The input arguments will initialize the query with the given values. Parameters ---------- pos : astropy.coordinates.SkyCoord a SkyCoord instance defining the position of the center of the circular search region. converted if it's a iterable containing scalars, assuming icrs degrees. radius : `~astropy.units.Quantity` or float a Quantity instance defining the radius of the circular search region, in degrees. converted if it is another unit. verbosity : int an integer value that indicates the volume of columns to return in the result table. 0 means the minimum set of columns, 3 means as many columns as are available. **keywords : additional case insensitive parameters can be given via arbitrary case insensitive keyword arguments. Where there is overlap with the parameters set by the other arguments to this function, these keywords will override. Returns ------- SCSQuery the query instance See Also -------- SCSQuery """ return SCSQuery(self.baseurl, pos=pos, radius=radius, verbosity=verbosity, session=self._session, **keywords) def describe(self): print(self.description) print() rows = [( col.name, col.description, col.unit, col.ucd, col.utype, col.datatype.arraysize, col.datatype.content, ) for col in self.columns] names = ( 'name', 'description', 'unit', 'ucd', 'utype', 'arraysize', 'datatype', ) table = Table(rows=rows, names=names) table.pprint( max_lines=-1, max_width=-1, show_unit=False, show_dtype=False) class SCSQuery(DALQuery): """ a class for preparing a query to a Cone Search service. Query constraints are added via its service type-specific methods. The various execute() functions will submit the query and return the results. The base URL for the query, which controls where the query will be sent when one of the execute functions is called, is typically set at construction time; however, it can be updated later via the :py:attr:`~pyvo.dal.DALQuery.baseurl` to send a configured query to another service. In addition to the search constraint attributes described below, search parameters can be set generically by name via dict semantics. The typical function for submitting the query is ``execute()``; however, alternate execute functions provide the response in different forms, allowing the caller to take greater control of the result processing. """ def __init__( self, baseurl, pos=None, radius=None, *, verbosity=None, session=None, **keywords): """ initialize the query object with a baseurl and the given parameters Parameters ---------- pos : astropy.coordinates.SkyCoord a SkyCoord instance defining the position of the center of the circular search region. converted if it's a iterable containing scalars, assuming icrs degrees. radius : `~astropy.units.Quantity` or float a Quantity instance defining the radius of the circular search region, in degrees. converted if it is another unit. verbosity : int an integer value that indicates the volume of columns to return in the result table. 0 means the minimum set of columns, 3 means as many columns as are available. session : object optional session to use for network requests """ super().__init__(baseurl, session=session) if pos is not None: self.pos = pos if radius is not None: self.radius = radius if verbosity is not None: self.verbosity = verbosity self.update({key.upper(): value for key, value in keywords.items()}) @property def pos(self): """ the position of the center of the circular search region as a `~astropy.coordinates.SkyCoord` instance. """ return getattr(self, "_pos", None) @pos.setter def pos(self, pos): setattr(self, "_pos", pos) if not isinstance(pos, SkyCoord): try: ra, dec = pos except (TypeError, ValueError): raise ValueError( 'Pos must be a sequence with exactly two values, ' 'expressing ra and dec in icrs degrees' ) # assume degrees pos = SkyCoord(ra=ra, dec=dec, unit="deg", frame="icrs") self["RA"] = pos.icrs.ra.deg self["DEC"] = pos.icrs.dec.deg @pos.deleter def pos(self): delattr(self, "_pos") del self["RA"] del self["DEC"] @property def radius(self): """ the radius of the circular region around pos as a `~astropy.units.Quantity` instance. """ return getattr(self, "_radius", None) @radius.setter def radius(self, radius): setattr(self, "_radius", radius) if not isinstance(radius, Quantity): valerr = ValueError("Radius must be exactly one value") try: # assume degrees radius = radius * Unit("deg") except ValueError: raise valerr try: if len(radius): raise valerr except TypeError: pass # len 1 self["SR"] = radius.to(Unit("deg")).value @radius.deleter def radius(self): delattr(self, "_radius") del self["SR"] @property def verbosity(self): """ an integer value that indicates the volume of columns to return in the result table. 0 means the minimum set of columsn, 3 means as many columns as are available. """ return getattr(self, "_verbosity", None) @verbosity.setter def verbosity(self, verbosity): setattr(self, "_verbosity", verbosity) self["VERB"] = verbosity @verbosity.deleter def verbosity(self): delattr(self, "_verbosity") del self["VERB"] def execute(self): """ submit the query and return the results as a SCSResults instance Raises ------ DALServiceError for errors connecting to or communicating with the service DALQueryError for errors either in the input query syntax or other user errors detected by the service DALFormatError for errors parsing the VOTable response """ return SCSResults(self.execute_votable(), url=self.queryurl, session=self._session) class SCSResults(DatalinkResultsMixin, DALResults): """ The list of matching catalog records resulting from a catalog (SCS) query. Each record contains a set of metadata that describes a source or observation within the requested circular region (i.e. a "cone"). The number of records in the results is available by passing it to the Python built-in ``len()`` function. This class supports iterable semantics; thus, individual records (in the form of :py:class:`~pyvo.dal.scs.SCSRecord` instances) are typically accessed by iterating over an ``SCSResults`` instance. Alternatively, records can be accessed randomly via :py:meth:`getrecord` or through a Python Database API (v2) Cursor (via :py:meth:`~pyvo.dal.DALResults.cursor`). Column-based data access is possible via the :py:meth:`~pyvo.dal.DALResults.getcolumn` method. ``SCSResults`` is essentially a wrapper around an Astropy :py:mod:`~astropy.io.votable` :py:class:`~astropy.io.votable.tree.TableElement` instance where the columns contain the various metadata describing the images. One can access that VOTable directly via the :py:attr:`~pyvo.dal.DALResults.votable` attribute. Thus, when one retrieves a whole column via :py:meth:`~pyvo.dal.DALResults.getcolumn`, the result is a Numpy array. Alternatively, one can manipulate the results as an Astropy :py:class:`~astropy.table.table.Table` via the following conversion: ``table = results.votable.to_table()`` ``SCSResults`` supports the array item operator ``[...]`` in a read-only context. When the argument is numerical, the result is an :py:class:`~pyvo.dal.scs.SCSRecord` instance, representing the record at the position given by the numerical index. If the argument is a string, it is interpreted as the name of a column, and the data from the column matching that name is returned as a Numpy array. """ def _findresultsresource(self, votable): if len(votable.resources) < 1: return None return votable.resources[0] def _findstatus(self, votable): # this is specialized according to the Conesearch standard # look first in the preferred location: just below the root VOTABLE info = self._findstatusinfo(votable.infos) if info: return (info.name, info.value) # look next in the result resource res = self._findresultsresource(votable) if res: # look for RESOURCE/INFO info = self._findstatusinfo(res.infos) if info: return (info.name, info.value) # if not there, check for a PARAM info = self._findstatusinfo(res.params) if info: return (info.name, info.value) # last resort: VOTABLE/DEFINITIONS/PARAM # NOT SUPPORTED BY astropy; parser has been configured to # raise W22 as exception instead. # assume it's okay return ("OK", "Successful Response") def _findstatusinfo(self, infos): # this can be overridden to specialize for a particular DAL protocol for info in infos: if info.name == "Error": return info def getrecord(self, index): """ return a representation of a conesearch result record that follows dictionary semantics. The keys of the dictionary are those returned by this instance's fieldnames attribute. The returned record has the following additional properties: id, ra, dec Parameters ---------- index : int the integer index of the desired record where 0 returns the first record Returns ------- SCSRecord a dictionary-like wrapper containing the result record metadata. Raises ------ IndexError if index is negative or equal or larger than the number of rows in the result table. See Also -------- Record """ return SCSRecord(self, index, session=self._session) class SCSRecord(DatalinkRecordMixin, Record): """ a dictionary-like container for data in a record from the results of an Cone Search (SCS) query, describing a matching source or observation. The commonly accessed metadata which are stadardized by the SCS protocol are available as attributes. All metadata, particularly non-standard metadata, are acessible via the ``get(`` *key* ``)`` function (or the [*key*] operator) where *key* is table column name. """ @property def pos(self): """ the position of the object or observation described by this record. """ return SkyCoord( ra=self.getbyucd("POS_EQ_RA_MAIN"), dec=self.getbyucd("POS_EQ_DEC_MAIN"), unit="deg", frame="icrs") @property def id(self): """ return the identifying name of the object or observation described by this record. """ return self.getbyucd("ID_MAIN") astropy-pyvo-b70558c/pyvo/dal/sia.py000066400000000000000000001036001510533647000174340ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ A module for searching for images in a remote archive. A Simple Image Access (SIA) service allows a client to search for images in an archive whose field of view overlaps with a given rectangular region on the sky. The service responds to a search query with a table in which each row represents an image that is available for download. The columns provide metadata describing each image and one column in particular provides the image's download URL (also called the *access reference*, or *acref*). Some SIA services act as a cut-out service; in this case, the query result is a table of images whose field of view matches the requested region and which will be created when accessed via the download URL. This module provides an interface for accessing an SIA service. It is implemented as a specialization of the DAL Query interface. The ``search()`` function support the simplest and most common types of queries, returning an SIAResults instance as its results which represents the matching images from the archive. The SIAResults supports access to and iterations over the individual records; these are provided as SIARecord instances, which give easy access to key metadata in the response, such as the position of the image's center, the image format, the size and shape of the image, and its download URL. The ``SIAService`` class can represent a specific service available at a URL endpoint. """ import re from pyvo.io.vosi.vodataservice import TableParam from astropy.coordinates import SkyCoord from astropy.time import Time from astropy.units import Quantity, Unit import numpy as np from .query import DALResults, DALQuery, DALService, Record from .mimetype import mime2extension from .adhoc import DatalinkResultsMixin, DatalinkRecordMixin, SodaRecordMixin from .. import samp __all__ = ["search", "SIAService", "SIAQuery", "SIAResults", "SIARecord"] def search( url, pos, size=1.0, *, format=None, intersect=None, verbosity=2, **keywords): """ submit a simple SIA query that requests images overlapping a given region Parameters ---------- url : str the base URL for the SIA service pos : `~astropy.coordinates.SkyCoord` class or sequence of two floats the position of the center of the rectangular search region. assuming icrs decimal degrees if unit is not specified. size : `~astropy.units.Quantity` class or up to 2 floats. the full rectangular size of the search region along the RA and Dec directions. converted if it's a iterable containing scalars, assuming decimal degrees. format : str the image format(s) of interest. "all" (server-side default) indicates all available formats; "graphic" indicates graphical images (e.g. jpeg, png, gif; not FITS); "metadata" indicates that no images should be returned--only an empty table with complete metadata; "image/\\*" indicates a particular image format where * can have values like "fits", "jpeg", "png", etc. intersect : str a token indicating how the returned images should intersect with the search region; recognized values include: ========= ====================================================== COVERS select images that completely cover the search region ENCLOSED select images that are complete enclosed by the region OVERLAPS select any image that overlaps the search region (server-side default) CENTER select images whose center is within the search region ========= ====================================================== verbosity : int an integer value that indicates the volume of columns to return in the result table. 0 means the minimum set of columsn, 3 means as many columns as are available. (client-side default == 2) **keywords : additional parameters can be given via arbitrary case insensitive keyword arguments. Where there is overlap with the parameters set by the other arguments to this function, these keywords will override. Returns ------- SIAResults a container holding a table of matching image records Raises ------ DALServiceError for errors connecting to or communicating with the service DALQueryError if the service responds with an error, including a query syntax error. See Also -------- SIAResults pyvo.dal.DALServiceError pyvo.dal.DALQueryError """ service = SIAService(url) return service.search(pos=pos, size=size, format=format, intersect=intersect, verbosity=verbosity, **keywords) class SIAService(DALService): """ a representation of an SIA service """ def __init__(self, baseurl, *, capability_description=None, session=None): """ instantiate an SIA service Parameters ---------- baseurl : str the base URL for submitting search queries to the service. session : object optional session to use for network requests """ super().__init__(baseurl, capability_description=capability_description, session=session) self._description = capability_description def _get_metadata(self): """ the metadata resource element """ if not hasattr(self, "_metadata"): query = self.create_query(format='metadata') metadata = query.execute_votable() setattr(self, "_metadata", metadata) try: setattr(self, "_metadata_resource", metadata.resources[0]) except IndexError: setattr(self, "_metadata_resource", None) @property def description(self): """ the service description. """ self._get_metadata() try: return getattr(self, "_metadata", None).description except AttributeError: return None @property def params(self): """ the service parameters. """ self._get_metadata() try: return getattr(self, "_metadata_resource", None).params except AttributeError: return None @property def columns(self): """ the available columns on this service """ self._get_metadata() fields = getattr(self, '_metadata', None).get_first_table().fields try: return [ TableParam.from_field(field) for field in fields] except AttributeError: return [] def search( self, pos, size=1.0, *, format=None, intersect=None, verbosity=2, **keywords): """ submit a SIA query to this service with the given parameters. Parameters ---------- pos : `~astropy.coordinates.SkyCoord` class or sequence of two floats the position of the center of the rectangular search region. assuming icrs decimal degrees if unit is not specified. size : `~astropy.units.Quantity` class or up to 2 floats. the full rectangular size of the search region along the RA and Dec directions. converted if it's a iterable containing scalars, assuming decimal degrees. size : `~astropy.units.Quantity` class or scalar float the size of the rectangular region around pos. assuming icrs decimal degrees if unit is not specified. format : str the image format(s) of interest. "all" (server-side default) indicates all available formats; "graphic" indicates graphical images (e.g. jpeg, png, gif; not FITS); "metadata" indicates that no images should be returned--only an empty table with complete metadata; "image/\\*" indicates a particular image format where * can have values like "fits", "jpeg", "png", etc. intersect : str a token indicating how the returned images should intersect with the search region; recognized values include: ========= ====================================================== COVERS select images that completely cover the search region ENCLOSED select images that are complete enclosed by the region OVERLAPS select any image that overlaps the search region (server-side default) CENTER select images whose center is within the search region ========= ====================================================== verbosity : int an integer value that indicates the volume of columns to return in the result table. 0 means the minimum set of columns, 3 means as many columns as are available. (client-side default == 2) **keywords : additional parameters can be given via arbitrary case insensitive keyword arguments. Where there is overlap with the parameters set by the other arguments to this function, these keywords will override. Returns ------- SIAResults a container holding a table of matching catalog records Raises ------ DALServiceError for errors connecting to or communicating with the service DALQueryError if the service responds with an error, including a query syntax error. See Also -------- SIAResults pyvo.dal.DALServiceError pyvo.dal.DALQueryError """ return self.create_query( pos=pos, size=size, format=format, intersect=intersect, verbosity=verbosity, **keywords).execute() def create_query( self, pos=None, size=None, *, format=None, intersect=None, verbosity=None, **keywords): """ create a query object that constraints can be added to and then executed. The input arguments will initialize the query with the given values. Parameters ---------- pos : `~astropy.coordinates.SkyCoord` class or sequence of two floats the position of the center of the rectangular search region. assuming icrs decimal degrees if unit is not specified. size : `~astropy.units.Quantity` class or up to 2 floats. the full rectangular size of the search region along the RA and Dec directions. converted if it's a iterable containing scalars, assuming decimal degrees. size : `~astropy.units.Quantity` class or scalar float the size of the rectangular region around pos. assuming icrs decimal degrees if unit is not specified. format : str the image format(s) of interest. "all" (server-side default) indicates all available formats; "graphic" indicates graphical images (e.g. jpeg, png, gif; not FITS); "metadata" indicates that no images should be returned--only an empty table with complete metadata; "image/\\*" indicates a particular image format where * can have values like "fits", "jpeg", "png", etc. intersect : str a token indicating how the returned images should intersect with the search region; recognized values include: ========= ====================================================== COVERS select images that completely cover the search region ENCLOSED select images that are complete enclosed by the region OVERLAPS select any image that overlaps the search region (server-side default) CENTER select images whose center is within the search region ========= ====================================================== verbosity : int an integer value that indicates the volume of columns to return in the result table. 0 means the minimum set of columsn, 3 means as many columns as are available. **keywords : additional parameters can be given via arbitrary case insensitive keyword arguments. Where there is overlap with the parameters set by the other arguments to this function, these keywords will override. Returns ------- SIAQuery the query instance See Also -------- SIAQuery """ return SIAQuery( self.baseurl, pos=pos, size=size, format=format, intersect=intersect, verbosity=verbosity, session=self._session, **keywords) def describe(self): print(self.description) print() class SIAQuery(DALQuery): """ a class for preparing a query to an SIA service. Query constraints are added via its service type-specific methods. The various execute() functions will submit the query and return the results. The base URL for the query, which controls where the query will be sent when one of the execute functions is called, is typically set at construction time; however, it can be updated later via the :py:attr:`~pyvo.dal.DALQuery.baseurl` to send a configured query to another service. In addition to the search constraint attributes described below, search parameters can be set generically by name via dict semantics. The typical function for submitting the query is ``execute()``; however, alternate execute functions provide the response in different forms, allowing the caller to take greater control of the result processing. """ def __init__( self, baseurl, pos=None, size=None, *, format=None, intersect=None, verbosity=None, session=None, **keywords): """ initialize the query object with a baseurl and the given parameters Parameters ---------- baseurl : str the base URL for the SIA service pos : `~astropy.coordinates.SkyCoord` class or sequence of two floats the position of the center of the rectangular search region. assuming icrs decimal degrees if unit is not specified. size : `~astropy.units.Quantity` class or up to 2 floats. the full rectangular size of the search region along the RA and Dec directions. converted if it's a iterable containing scalars, assuming decimal degrees. size : `~astropy.units.Quantity` class or scalar float the size of the rectangular region around pos. assuming icrs decimal degrees if unit is not specified. format : str the image format(s) of interest. "all" (server-side default) indicates all available formats; "graphic" indicates graphical images (e.g. jpeg, png, gif; not FITS); "metadata" indicates that no images should be returned--only an empty table with complete metadata; "image/\\*" indicates a particular image format where * can have values like "fits", "jpeg", "png", etc. intersect : str a token indicating how the returned images should intersect with the search region; recognized values include: ========= ====================================================== COVERS select images that completely cover the search region ENCLOSED select images that are complete enclosed by the region OVERLAPS select any image that overlaps the search region (server-side default) CENTER select images whose center is within the search region ========= ====================================================== verbosity : int an integer value that indicates the volume of columns to return in the result table. 0 means the minimum set of columsn, 3 means as many columns as are available. session : object optional session to use for network requests **keywords : additional parameters can be given via arbitrary case insensitive keyword arguments. Where there is overlap with the parameters set by the other arguments to this function, these keywords will override. """ super().__init__(baseurl, session=session, **keywords) if pos is not None: self.pos = pos if size is not None: self.size = size if format is not None: self.format = format if intersect is not None: self.intersect = intersect if verbosity is not None: self.verbosity = verbosity @property def pos(self): """ the position of the center of the rectangular search region as a `~astropy.coordinates.SkyCoord` instance. """ return getattr(self, "_pos", None) @pos.setter def pos(self, pos): setattr(self, "_pos", pos) if not isinstance(pos, SkyCoord): try: ra, dec = pos except (TypeError, ValueError): raise ValueError( 'Pos must be a sequence with exactly two values, ' 'expressing ra and dec in icrs degrees' ) # assume degrees pos = SkyCoord(ra=ra, dec=dec, unit="deg", frame="icrs") self["POS"] = "{ra},{dec}".format( ra=pos.icrs.ra.deg, dec=pos.icrs.dec.deg) @pos.deleter def pos(self): delattr(self, "_pos") del self["POS"] @property def size(self): """ the size of the rectangular region around pos as a `~astropy.units.Quantity` instance. """ return getattr(self, "_size", None) @size.setter def size(self, size): setattr(self, "_size", size) if not isinstance(size, Quantity): valerr = ValueError( 'Size must be either a single value or a sequence with two' 'values, expressing degrees' ) try: # assume degrees size = size * Unit("deg") except ValueError: raise valerr try: if len(size) > 2: raise valerr except TypeError: pass # len 1 try: self["SIZE"] = ",".join( str(deg) for deg in size.to(Unit("deg")).value) except TypeError: self["SIZE"] = str(size.to(Unit("deg")).value) @size.deleter def size(self): delattr(self, "_size") del self["SIZE"] @property def format(self): """ the image format(s) of interest. "all" (default) indicates all available formats; "graphic" indicates graphical images (e.g. jpeg, png, gif; not FITS); "metadata" indicates that no images should be returned--only an empty table with complete metadata; "image/\\*" indicates a particular image format where * can have values like "fits", "jpeg", "png", etc. """ return getattr(self, "_format", None) @format.setter def format(self, format_): setattr(self, "_format", format_) if not isinstance(format_, list): format_ = format_.split(',') normalized_formats = [] for user_input in format_: if user_input.upper() in ['ALL', 'METADATA', 'GRAPHIC', 'GRAPHIC-ALL']: normalized_formats.append(user_input.upper()) elif user_input.split('-')[0].upper() == 'GRAPHIC': normalized_formats.append(user_input.split('-')[0].upper()+"-"+user_input.split('-')[1]) else: normalized_formats.append(user_input) self["FORMAT"] = ",".join(normalized_formats) @format.deleter def format(self): delattr(self, "_format") del self["FORMAT"] @property def intersect(self): """ a token indicating how the returned images should intersect with the search region; recognized values include: ========= ====================================================== COVERS select images that completely cover the search region ENCLOSED select images that are complete enclosed by the region OVERLAPS select any image that overlaps with the search region CENTER select images whose center is within the search region ========= ====================================================== """ return getattr(self, "_intersect", None) @intersect.setter def intersect(self, intersect): setattr(self, "_intersect", intersect) self["INTERSECT"] = intersect.upper() @intersect.deleter def intersect(self): delattr(self, "_intersect") del self["INTERSECT"] @property def verbosity(self): """ an integer value that indicates the volume of columns to return in the result table. 0 means the minimum set of columsn, 3 means as many columns as are available. """ return getattr(self, "_verbosity", None) @verbosity.setter def verbosity(self, verbosity): setattr(self, "_verbosity", verbosity) self["VERB"] = verbosity @verbosity.deleter def verbosity(self): delattr(self, "_verbosity") del self["VERB"] def execute(self): """ submit the query and return the results as a SIAResults instance Raises ------ DALServiceError for errors connecting to or communicating with the service DALQueryError for errors either in the input query syntax or other user errors detected by the service DALFormatError for errors parsing the VOTable response """ return SIAResults(self.execute_votable(), url=self.queryurl, session=self._session) class SIAResults(DatalinkResultsMixin, DALResults): """ The list of matching images resulting from an image (SIA) query. Each record contains a set of metadata that describes an available image matching the query constraints. The number of records in the results is available by passing it to the Python built-in ``len()`` function. This class supports iterable semantics; thus, individual records (in the form of :py:class:`~pyvo.dal.sia.SIARecord` instances) are typically accessed by iterating over an ``SIAResults`` instance. Alternatively, records can be accessed randomly via :py:meth:`getrecord` or through a Python Database API (v2) Cursor (via :py:meth:`~pyvo.dal.DALResults.cursor`). Column-based data access is possible via the :py:meth:`~pyvo.dal.DALResults.getcolumn` method. ``SIAResults`` is essentially a wrapper around an Astropy :py:mod:`~astropy.io.votable` :py:class:`~astropy.io.votable.tree.TableElement` instance where the columns contain the various metadata describing the images. One can access that VOTable directly via the :py:attr:`~pyvo.dal.DALResults.votable` attribute. Thus, when one retrieves a whole column via :py:meth:`~pyvo.dal.DALResults.getcolumn`, the result is a Numpy array. Alternatively, one can manipulate the results as an Astropy :py:class:`~astropy.table.table.Table` via the following conversion: ``table = results.votable.to_table()`` ``SIAResults`` supports the array item operator ``[...]`` in a read-only context. When the argument is numerical, the result is an :py:class:`~pyvo.dal.sia.SIARecord` instance, representing the record at the position given by the numerical index. If the argument is a string, it is interpreted as the name of a column, and the data from the column matching that name is returned as a Numpy array. """ def getrecord(self, index): """ return a representation of a sia result record that follows dictionary semantics. The keys of the dictionary are those returned by this instance's fieldnames attribute. The returned record has additional image-specific properties Parameters ---------- index : int the integer index of the desired record where 0 returns the first record Returns ------- SIARecord a dictionary-like wrapper containing the result record metadata. Raises ------ IndexError if index is negative or equal or larger than the number of rows in the result table. See Also -------- Record """ return SIARecord(self, index, session=self._session) class SIARecord(SodaRecordMixin, DatalinkRecordMixin, Record): """ a dictionary-like container for data in a record from the results of an image (SIA) search, describing an available image. The commonly accessed metadata which are stadardized by the SIA protocol are available as attributes. If the metadatum accessible via an attribute is not available, the value of that attribute will be None. All metadata, including non-standard metadata, are acessible via the ``get(`` *key* ``)`` function (or the [*key*] operator) where *key* is table column name. """ def getdataformat(self): """ return the mimetype of the dataset described by this record. """ return self.getbyucd("VOX:Image_Format", decode=True) @property def pos(self): """ the position of the object or observation described by this record. """ return SkyCoord( ra=self.getbyucd("POS_EQ_RA_MAIN"), dec=self.getbyucd("POS_EQ_DEC_MAIN"), unit="deg", frame="icrs") # Image Metadata @property def title(self): """ the title of the image """ return self.getbyucd("VOX:Image_Title", decode=True) @property def instr(self): """ the name of the instrument (or instruments) that produced the data that went into this image. """ return self.getbyucd("INST_ID", decode=True) @property def dateobs(self): """ the modified Julian date (MJD) of the mid-point of the observational data that went into the image, as an astropy.time.Time instance """ dateobs = self.getbyucd("VOX:Image_MJDateObs") try: if not dateobs or np.isnan(dateobs): return None except TypeError: # np.isnan can only check floats. If can't check for nan, pass it along pass return Time(dateobs, format="mjd") @property def naxes(self): """ the number of axes in this image. """ return self.getbyucd("VOX:Image_Naxes") @property def naxis(self): """ the lengths of the sides along each axis, in pix, as a astropy Quantity pix """ return self.getbyucd("VOX:Image_Naxis") * Unit("pix") @property def scale(self): """ the scale of the pixels in each image axis, in degrees/pixel, as a astropy Quantity deg / pix """ return self.getbyucd("VOX:Image_Scale") * (Unit("deg") / Unit("pix")) @property def format(self): """ the format of the image """ return self.getbyucd("VOX:Image_Format", decode=True) # Coordinate System Metadata @property def coord_frame(self): """ the coordinate system reference frame, one of the following: "ICRS", "FK5", "FK4", "ECL", "GAL", and "SGAL". """ return self.getbyucd("VOX:STC_CoordRefFrame", decode=True) @property def coord_equinox(self): """ the equinox of the used coordinate system """ return self.getbyucd("VOX:STC_CoordEquinox") @property def coord_projection(self): """ the celestial projection (TAN / ARC / SIN / etc.) """ return self.getbyucd("VOX:WCS_CoordProjection", decode=True) @property def coord_refpixel(self): """ the image pixel coordinates of the WCS reference pixel """ return self.getbyucd("VOX:WCS_CoordRefPixel") @property def coord_refvalue(self): """ the world coordinates of the WCS reference pixel. """ return self.getbyucd("VOX:WCS_CoordRefValue") @property def cdmatrix(self): """ the WCS CD matrix defining the scale and rotation (among other things) of the image. ordered as CD[i,j] = [0,0], [0,1], [1,0], [1,1]. """ return self.getbyucd("VOX:WCS_CDMatrix").reshape((2, 2)) # Spectral Bandpass Metadata @property def bandpass_id(self): """ the bandpass by name (e.g., "V", "SDSS_U", "K", "K-Band", etc.) """ return self.getbyucd("VOX:BandPass_ID", decode=True) @property def bandpass_unit(self): """ the astropy unit used to represent spectral values. """ sia_unit = self.getbyucd("VOX:BandPass_Unit", decode=True) # the standard says this should be `"meters", "hertz", and "keV"', # which in practice everyone has ignored. Still, let's # translate the standard terms. Somewhat more dangerously, # we replace a missing unit with metres; in theory, we should # reject anything but the three terms above, but then 99% # of SIA services would break. And without the assumption of # a metre default, 20% of 2024 SIA1 services would have unusable # bandpasses. astropy_unit = { None: "m", "": "m", "meters": "m", "hertz": "Hz"}.get(sia_unit, sia_unit) return Unit(astropy_unit) @property def bandpass_refvalue(self): """ the characteristic (reference) wavelength, frequency or energy for the bandpass model, as an astropy Quantity of bandpass_unit """ value = self.getbyucd("VOX:BandPass_RefValue") if value is not None and self.bandpass_unit: return Quantity(value, self.bandpass_unit) @property def bandpass_hilimit(self): """ the upper limit of the bandpass as astropy Quantity in bandpass_unit """ value = self.getbyucd("VOX:BandPass_HiLimit") if value is not None and self.bandpass_unit: return Quantity(value, self.bandpass_unit) @property def bandpass_lolimit(self): """ the lower limit of the bandpass as astropy Quantity in bandpass_unit """ value = self.getbyucd("VOX:BandPass_LoLimit") if value is not None and self.bandpass_unit: return Quantity(value, self.bandpass_unit) # Processig Metadata @property def pixflags(self): """ the type of processing done by the image service to produce an output image pixel a string of one or more of the following values: * C -- The image pixels were copied from a source image without change, as when an atlas image or cutout is returned. * F -- The image pixels were computed by resampling an existing image, e.g., to rescale or reproject the data, and were filtered by an interpolator. * X -- The image pixels were computed by the service directly from a primary data set hence were not filtered by an interpolator. * Z -- The image pixels contain valid flux (intensity) values, e.g., if the pixels were resampled with a flux-preserving interpolator. * V -- The image pixels contain some unspecified visualization of the data, hence are suitable for display but not for numerical analysis. """ return self.getbyucd("VOX:Image_PixFlags", decode=True) # Access Metadata @property def acref(self): """ the URL that can be used to retrieve the image """ return self.getbyucd("VOX:Image_AccessReference", decode=True) @property def acref_ttl(self): """ the minimum time to live in seconds of the access reference """ return self.getbyucd("VOX:Image_AccessRefTTL") @property def filesize(self): """ the (estimated) size of the image in bytes """ return self.getbyucd("VOX:Image_FileSize") def getdataurl(self): """ return the URL contained in the access URL column which can be used to retrieve the dataset described by this record. None is returned if no such column exists. """ if self.acref is not None: return self.acref else: return super().getdataurl() def suggest_dataset_basename(self): """ return a default base filename that the dataset available via ``getdataset()`` can be saved as. This function is specialized for a particular service type this record originates from so that it can be used by ``cachedataset()`` via ``make_dataset_filename()``. """ out = self.title if isinstance(out, bytes): out = out.decode('utf-8') if not out: out = "image" else: out = re.sub(r'\s+', '_', out.strip()) return out def suggest_extension(self, *, default='dat'): """ returns a recommended filename extension for the dataset described by this record. Typically, this would look at the column describing the format and choose an extension accordingly. """ return mime2extension(self.format, default) def broadcast_samp(self, *, client_name=None): """ Broadcast the image to ``client_name`` via SAMP """ with samp.connection() as conn: samp.send_image_to( conn, self.getdataurl(), client_name, name=self.suggest_dataset_basename()) astropy-pyvo-b70558c/pyvo/dal/sia2.py000066400000000000000000001165141510533647000175260ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ A module for searching for images in a remote archive. A Simple Image Access v2 (SIA2) service allows a client to search for images based on a number of criteria/parameters. The results are represented in ``pyvo.dam.ObsCoreMetadata`` format. The ``SIA2Service`` class can represent a specific service available at a URL endpoint. """ import warnings import numpy as np from astropy import units as u from astropy.time import Time from astropy.utils.decorators import deprecated from astropy.utils.exceptions import AstropyDeprecationWarning from .query import DALResults, DALQuery, DALService, Record from .adhoc import DatalinkResultsMixin, AxisParamMixin, SodaRecordMixin, DatalinkRecordMixin from .exceptions import DALServiceError from .params import IntervalQueryParam, StrQueryParam, EnumQueryParam from .vosi import AvailabilityMixin, CapabilityMixin from ..dam import ObsCoreMetadata, CALIBRATION_LEVELS __all__ = ["search", "SIA2Service", "SIA2Query", "SIA2Results", "ObsCoreRecord"] SIA2_STANDARD_ID = 'ivo://ivoa.net/std/SIA#query-2.0' SIA2_PARAMETERS_DESC = """ pos : single or list of tuples angle units (default: deg) the positional region(s) to be searched for data. Each region can be expressed as a tuple representing a CIRCLE, RANGE or POLYGON as follows: (ra, dec, radius) - for CIRCLE. (angle units - defaults to) (long1, long2, lat1, lat2) - for RANGE (angle units required) (ra, dec, ra, dec, ra, dec ... ) ra/dec points for POLYGON all in angle units band : scalar, tuple(interval) or list of tuples (spectral units (default: meter) the energy interval(s) to be searched for data. time : single or list of `~astropy.time.Time` or compatible strings the time interval(s) to be searched for data. pol : single or list of str from ``pyvo.dam.obscore.POLARIZATION_STATES`` the polarization state(s) to be searched for data. field_of_view : single or list of tuples angle units (default arcsec) the range(s) of field of view (size) to be searched for data spatial_resolution : single or list of tuples angle units required the range(s) of spatial resolution to be searched for data spectral_resolving_power : single or list of tuples the range(s) of spectral resolving power to be searched for data exptime : single or list of tuples time units (default: second) the range(s) of exposure times to be searched for data timeres : single of list of tuples time units (default: second) the range(s) of temporal resolution to be searched for data publisher_did : single or list of str specifies the unique identifier of dataset(s). It is global because it must include information regarding the publisher (obs_publisher_did in ObsCore) collection : single or list of str name of the collection that the data belongs to facility : single or list of str specifies the name of the facility (usually telescope) where the data was acquired. instrument : single or list of str specifies the name of the instrument with which the data was acquired. data_type : 'image'|'cube' specifies the type of the data calib_level : single or list from enum ``pyvo.dam.obscore.CALIBRATION_LEVELS`` specifies the calibration level of the data. Can be a single value or a list of values target_name : single or list of str specifies the name of the target (e.g. the intention of the original science program or observation) res_format : single or list of strings specifies response format(s). max_records : int allows the client to limit the number or records in the response **kwargs : custom query parameters single or a list of values (or tuples for intervals) custom query parameters that a specific service accepts. The values of the parameters need to follow the SIA2 format and represent the appropriate quantities (where applicable). """ def __getattr__(name): if name == 'SIA_PARAMETERS_DESC': warnings.warn("The name SIA_PARAMETERS_DESC is deprecated in v1.5 for SIA v2 services, " "use SIA2_PARAMETERS_DESC instead.", AstropyDeprecationWarning) return SIA2_PARAMETERS_DESC raise AttributeError(f"module {__name__!r} has no attribute {name!r}") def search(url, pos=None, *, band=None, time=None, pol=None, field_of_view=None, spatial_resolution=None, spectral_resolving_power=None, exptime=None, timeres=None, publisher_did=None, facility=None, collection=None, instrument=None, data_type=None, calib_level=None, target_name=None, res_format=None, maxrec=None, session=None, **kwargs): """ submit a simple SIA query to a SIA2 compatible service Parameters ---------- url : str url of the SIA service (base or endpoint) _SIA2_PARAMETERS """ service = SIA2Service(url, session=session) return service.search(pos=pos, band=band, time=time, pol=pol, field_of_view=field_of_view, spatial_resolution=spatial_resolution, spectral_resolving_power=spectral_resolving_power, exptime=exptime, timeres=timeres, publisher_did=publisher_did, facility=facility, collection=collection, instrument=instrument, data_type=data_type, calib_level=calib_level, target_name=target_name, res_format=res_format, maxrec=maxrec, **kwargs) search.__doc__ = search.__doc__.replace('_SIA2_PARAMETERS', SIA2_PARAMETERS_DESC) def _tolist(value): # return value as a list - is there something in Python to do that? if not value: return [] if isinstance(value, list): return value return [value] class SIA2Service(DALService, AvailabilityMixin, CapabilityMixin): """ a representation of an SIA2 service Note that within pyVO, SIA2 services are associated with the (non-existing) standard id ivo://ivoa.net/std/sia2 rather than ivo://ivoa.net/std/sia#query-2.0 as in the standard; users should generally not notice that, though. """ def __init__(self, baseurl, *, capability_description=None, session=None, check_baseurl=True): """ instantiate an SIA2 service Parameters ---------- url : str url - URL of the SIA2service (base or query endpoint) session : object optional session to use for network requests check_baseurl : bool True - use the capabilities end point of the service to get the query end point, False - baseurl is the query end point """ super().__init__(baseurl, capability_description=capability_description, session=session) # Check if the session has an update_from_capabilities attribute. # This means that the session is aware of IVOA capabilities, # and can use this information in processing network requests. # One such usecase for this is auth. if hasattr(self._session, 'update_from_capabilities'): self._session.update_from_capabilities(self.capabilities) self.query_ep = baseurl.strip('&') # default service end point if check_baseurl: for cap in self.capabilities: # assumes that the access URL is the same regardless of the # authentication method except BasicAA which is not supported # in pyvo. So pick any access url as long as it's not if cap.standardid and cap.standardid.lower() == SIA2_STANDARD_ID.lower(): for interface in cap.interfaces: if interface.accessurls and \ not (len(interface.securitymethods) == 1 and interface.securitymethods[0].standardid == 'ivo://ivoa.net/sso#BasicAA'): self.query_ep = interface.accessurls[0].content break else: continue break else: raise DALServiceError("This URL does not seem to correspond to an SIA2 service.") def search(self, pos=None, *, band=None, time=None, pol=None, field_of_view=None, spatial_resolution=None, spectral_resolving_power=None, exptime=None, timeres=None, publisher_did=None, facility=None, collection=None, instrument=None, data_type=None, calib_level=None, target_name=None, res_format=None, maxrec=None, **kwargs): """ Performs a SIA2 search against a SIA2 service See Also -------- pyvo.dal.sia2.SIA2Query """ return SIA2Query(self.query_ep, pos=pos, band=band, time=time, pol=pol, field_of_view=field_of_view, spatial_resolution=spatial_resolution, spectral_resolving_power=spectral_resolving_power, exptime=exptime, timeres=timeres, publisher_did=publisher_did, facility=facility, collection=collection, instrument=instrument, data_type=data_type, calib_level=calib_level, target_name=target_name, res_format=res_format, maxrec=maxrec, session=self._session, **kwargs).execute() class SIA2Query(DALQuery, AxisParamMixin): """ a class very similar to :py:attr:`~pyvo.dal.SIAQuery` class but used to interact with SIA2 services. """ def __init__(self, url, pos=None, *, band=None, time=None, pol=None, field_of_view=None, spatial_resolution=None, spectral_resolving_power=None, exptime=None, timeres=None, publisher_did=None, facility=None, collection=None, instrument=None, data_type=None, calib_level=None, target_name=None, res_format=None, maxrec=None, session=None, **kwargs): """ initialize the query object with a url and the given parameters Note: The majority of the attributes represent constraints used to query the SIA2 service and are represented through lists. Multiple value attributes are OR-ed in the query, however the values of different attributes are AND-ed. Intervals are represented with tuples and open-ended intervals should be expressed with float("-inf") or float("inf"). Eg. For all values less than or equal to 600 use (float(-inf), 600) Additional attribute constraints can be specified (or removed) after this object has been created using the *.add and *_del methods. Parameters ---------- url : url where to send the query request to _SIA2_PARAMETERS session : object optional session to use for network requests Returns ------- SIA2Results a container holding a table of matching image records. Records are represented in IVOA ObsCore format Raises ------ DALServiceError for errors connecting to or communicating with the service DALQueryError if the service responds with an error, including a query syntax error. See Also -------- SIA2Results pyvo.dal.DALServiceError pyvo.dal.DALQueryError """ super().__init__(url, session=session) for pp in _tolist(pos): self.pos.add(pp) for bb in _tolist(band): self.band.add(bb) for tt in _tolist(time): self.time.add(tt) for pp in _tolist(pol): self.pol.add(pp) for ff in _tolist(field_of_view): self.field_of_view.add(ff) for sp in _tolist(spatial_resolution): self.spatial_resolution.add(sp) for sr in _tolist(spectral_resolving_power): self.spectral_resolving_power.add(sr) for et in _tolist(exptime): self.exptime.add(et) for tr in _tolist(timeres): self.timeres.add(tr) for ii in _tolist(publisher_did): self.publisher_did.add(ii) for ff in _tolist(facility): self.facility.add(ff) for col in _tolist(collection): self.collection.add(col) for inst in _tolist(instrument): self.instrument.add(inst) for dt in _tolist(data_type): self.data_type.add(dt) for cal in _tolist(calib_level): self.calib_level.add(cal) for tt in _tolist(target_name): self.target_name.add(tt) for rf in _tolist(res_format): self.res_format.add(rf) for name, value in kwargs.items(): custom_arg = [] for kw in _tolist(value): if isinstance(kw, tuple): val = f'{kw[0]} {kw[1]}' else: val = str(kw) custom_arg.append(val) self[name] = custom_arg self.maxrec = maxrec __init__.__doc__ = \ __init__.__doc__.replace('_SIA2_PARAMETERS', SIA2_PARAMETERS_DESC) @property def field_of_view(self): if not hasattr(self, '_fov'): self._fov = IntervalQueryParam(u.deg) self['FOV'] = self._fov.dal return self._fov @property def spatial_resolution(self): if not hasattr(self, '_spatres'): self._spatres = IntervalQueryParam(u.arcsec) self['SPATRES'] = self._spatres.dal return self._spatres @property def spectral_resolving_power(self): if not hasattr(self, '_specrp'): self._specrp = IntervalQueryParam() self['SPECRP'] = self._specrp.dal return self._specrp @property def exptime(self): if not hasattr(self, '_exptime'): self._exptime = IntervalQueryParam(u.second) self['EXPTIME'] = self._exptime.dal return self._exptime @property def timeres(self): if not hasattr(self, '_timeres'): self._timeres = IntervalQueryParam(u.second) self['TIMERES'] = self._timeres.dal return self._timeres @property def publisher_did(self): if not hasattr(self, '_publisher_did'): self._publisher_did = StrQueryParam() self['ID'] = self._publisher_did.dal return self._publisher_did @property def facility(self): if not hasattr(self, '_facility'): self._facility = StrQueryParam() self['FACILITY'] = self._facility.dal return self._facility @property def collection(self): if not hasattr(self, '_collection'): self._collection = StrQueryParam() self['COLLECTION'] = self._collection.dal return self._collection @property def instrument(self): if not hasattr(self, '_instrument'): self._instrument = StrQueryParam() self['INSTRUMENT'] = self._instrument.dal return self._instrument @property def data_type(self): if not hasattr(self, '_data_type'): self._data_type = StrQueryParam() self['DPTYPE'] = self._data_type.dal return self._data_type @property def calib_level(self): if not hasattr(self, '_cal'): self._cal = EnumQueryParam(CALIBRATION_LEVELS) self['CALIB'] = self._cal.dal return self._cal @property def target_name(self): if not hasattr(self, '_target'): self._target_name = StrQueryParam() self['TARGET'] = self._target_name.dal return self._target_name @property def res_format(self): if not hasattr(self, '_res_format'): self._res_format = StrQueryParam() self['FORMAT'] = self._res_format.dal return self._res_format @property def maxrec(self): return self._maxrec @maxrec.setter def maxrec(self, val): if not isinstance(val, int): if not val: return raise ValueError(f'maxrec {val} must be non-negative int') self._maxrec = val self['MAXREC'] = str(val) def execute(self): """ submit the query and return the results as a SIA2Results instance Raises ------ DALServiceError for errors connecting to or communicating with the service DALQueryError for errors either in the input query syntax or other user errors detected by the service DALFormatError for errors parsing the VOTable response """ return SIA2Results(self.execute_votable(), url=self.queryurl, session=self._session) class SIA2Results(DatalinkResultsMixin, DALResults): """ The list of matching images resulting from an image (SIA2) query. Each record contains a set of metadata that describes an available image matching the query constraints. The number of records in the results is available by passing it to the Python built-in ``len()`` function. This class supports iterable semantics; thus, individual records (in the form of :py:class:`~pyvo.dal.sia2.ObsCoreRecord` instances) are typically accessed by iterating over an ``SIA2Results`` instance. Alternatively, records can be accessed randomly via :py:meth:`getrecord` or through a Python Database API (v2) Cursor (via :py:meth:`~pyvo.dal.DALResults.cursor`). Column-based data access is possible via the :py:meth:`~pyvo.dal.DALResults.getcolumn` method. ``SIA2Results`` is essentially a wrapper around an Astropy :py:mod:`~astropy.io.votable` :py:class:`~astropy.io.votable.tree.TableElement` instance where the columns contain the various metadata describing the images. One can access that VOTable directly via the :py:attr:`~pyvo.dal.DALResults.votable` attribute. Thus, when one retrieves a whole column via :py:meth:`~pyvo.dal.DALResults.getcolumn`, the result is a Numpy array. Alternatively, one can manipulate the results as an Astropy :py:class:`~astropy.table.table.Table` via the following conversion: ``table = results.votable.to_table()`` ``SIA2Results`` supports the array item operator ``[...]`` in a read-only context. When the argument is numerical, the result is an :py:class:`~pyvo.dal.sia2.ObsCoreRecord` instance, representing the record at the position given by the numerical index. If the argument is a string, it is interpreted as the name of a column, and the data from the column matching that name is returned as a Numpy array. """ def getrecord(self, index): """ return a representation of a SIA2 result record that follows dictionary semantics. The keys of the dictionary are those returned by this instance's fieldnames attribute. The returned record has additional image-specific properties Parameters ---------- index : int the integer index of the desired record where 0 returns the first record Returns ------- ObsCoreMetadataRecord a dictionary-like wrapper containing the result record metadata. Raises ------ IndexError if index is negative or equal or larger than the number of rows in the result table. See Also -------- Record """ return ObsCoreRecord(self, index, session=self._session) class ObsCoreRecord(SodaRecordMixin, DatalinkRecordMixin, Record, ObsCoreMetadata): """ a dictionary-like container for data in a record from the results of an image (SIA2) search, describing an available image in ObsCore format. The commonly accessed metadata which are stadardized by the SIA2 protocol are available as attributes. If the metadatum accessible via an attribute is not available, the value of that attribute will be None. All metadata, including non-standard metadata, are also acessible via the ``get(`` *key* ``)`` function (or the [*key*] operator) where *key* is table column name. """ # OBSERVATION INFO @property def dataproduct_type(self): """ Data product (file content) primary type. This is coded as a string that conveys a general idea of the content and organization of a dataset. """ return self.get('dataproduct_type', decode=True) @property def dataproduct_subtype(self): """ Data product more specific type """ return self.get('dataproduct_subtype', decode=True, default=None) @property def calib_level(self): """ Calibration level of the observation: in {0, 1, 2, 3, 4} """ return self.get('calib_level') # TARGET INFO @property def target_name(self): """ The target_name attribute contains the name of the target of the observation, if any. This is typically the name of an astronomical object, but could be the name of a survey field. The target name is most useful for output, to identify the target of an observation to the user. In queries it is generally better to refer to astronomical objects by position, using a name resolver to convert the target name into a coordinate (when possible). """ return self.get('target_name', decode=True) @property def target_class(self): """ This field indicates the type of object that was pointed for this observation. It is a string with possible values defined in a special vocabulary set to be defined: list of object classes (or types) used by the SIMBAD database, NED or defined in another IVOA vocabulary. """ return self.get('target_class', decode=True, default=None) # DATA DESCRIPTION @property def obs_id(self): """ Collection specific internal ID given by the ObsTAP service """ return self.get('obs_id', decode=True) @property def obs_title(self): """ Brief description of dataset in free format """ return self.get('obs_title', decode=True, default=None) @property def obs_collection(self): """ The name of the collection (DataID.Collection) identifies the data collection to which the data product belongs. A data collection can be any collection of datasets which are alike in some fashion. Typical data collections might be all the data from a particular telescope, instrument, or survey. The value is either the registered shortname for the data collection, the full registered IVOA identifier for the collection, or a data provider defined short name for the collection. Examples: HST/WFPC2, VLT/FORS2, CHANDRA/ACIS-S, etc. """ return self.get('obs_collection', decode=True) @property def obs_create_date(self): """ Date when the dataset was created """ cd = self.get('obs_create_date', default=None) return cd if not cd else Time(cd) @property def obs_creator_name(self): """ The name of the institution or entity which created the dataset. """ return self.get('obs_creator_name', decode=True, default=None) @property def obs_creator_did(self): """ IVOA dataset identifier given by its creator. """ return self.get('obs_creator_did', decode=True, default=None) # CURATION INFORMATION @property def obs_release_date(self): """ Observation release date """ rt = self.get('obs_release_date', default=None, decode=True) return rt if not rt else Time(rt) @property def obs_publisher_did(self): """ ID for the Dataset assigned by the publisher. Note that data from a source (creator_did) can be published by multiple publishers and have assigned multiple publisher data IDs. """ return self.get('obs_publisher_did', decode=True) @property def publisher_id(self): """ IVOA-ID for the Publisher. It will also be globally unique since each publisher has a unique registered publisher ID """ return self.get('publisher_id', decode=True, default=None) @property def bib_reference(self): """ URL or bibcode for documentation. This is a forward link to major publications which reference the dataset. """ return self.get('bib_reference', decode=True, default=None) @property def data_rights(self): """ This parameter allows mentioning the availability of a dataset. Possible values are: public, secure, or proprietary. """ return self.get('data_rights', decode=True, default=None) # ACCESS INFORMATION @property def access_url(self): """ The access_url column contains a URL that can be used to download the data product (as a file of some sort). Access URLs are not guaranteed to remain valid and unchanged indefinitely. To access a specific data product after a period of time (e.g., days or weeks) a query should be performed to obtain a fresh access URL. """ return self.get('access_url', decode=True) @property def access_format(self): """ Content format of the dataset. The value of access_format should be a MIME type, either a standard MIME type, an extended MIME type from the above table, or a new custom MIME type defined by the data provider. """ return self.get('access_format', decode=True) @property def access_estsize(self): """ The approximate size (in kilobytes) of the file available via the access_url. This is used only to gain some idea of the size of a data product before downloading it, hence only an approximate value is required. Provision of dataset size estimates is important whenever it is possible that datasets can be very large. """ return self.get('access_estsize') * 1000 * u.byte # SPATIAL CHARACTERISATION @property def s_ra(self): """ ICRS Right Ascension of the center of the observation """ return self.get('s_ra') * u.deg @property def s_dec(self): """ CRS Declination of the center of the observation """ return self.get('s_dec') * u.deg @property def s_fov(self): """ Approximate size of the covered region as the diameter of a containing circle. For most data products the value given should be large enough to include the entire area of the observation; coverage within the bounded region need not be complete, for example if the specified radius encompasses a rotated rectangular region. For observations which do not have a well-defined boundary, e.g. radio or high energy observations, a characteristic value should be given. The radius attribute provides a simple way to characterize and use (e.g. for discovery computations) the approximate spatial coverage of a data product. The spatial coverage of a data product can be more precisely specified using the region attribute. """ return self.get('s_fov') * u.deg @property def s_region(self): """ Sky region covered by the data product (expressed in ICRS frame). It can be used to precisely specify the covered spatial region of a data product. It is often an exact, or almost exact, representation of the illumination region of a given observation defined in a standard way by the concept of Support in the Characterisation data model. """ return self.get('s_region', decode=True) @property def s_resolution(self): """ Spatial resolution of data specifies a reference value chosen by the data provider for the estimated spatial resolution of the data product in arcseconds. This refers to the smallest spatial feature in the observed signal that can be resolved. In cases where the spatial resolution varies across the field the best spatial resolution (smallest resolvable spatial feature) should be specified. In cases where the spatial frequency sampling of an observation is complex (e.g., interferometry) a typical value for spatial resolution estimate should be given; additional characterisation may be necessary to fully specify the spatial characteristics of the data. """ return self.get('s_resolution') * u.arcsec @property def s_xel1(self): """ Number of elements along the first spatial axis """ return self.get('s_xel1') @property def s_xel2(self): """ Number of elements along the second spatial axis """ return self.get('s_xel2') @property def s_ucd(self): """ UCD for the nature of the spatial axis (pos or u,v data) """ return self.get('s_ucd', decode=True, default=None) @property def s_unit(self): """ Unit used for spatial axis """ return self.get('s_unit', decode=True, default=None) @property def s_resolution_min(self): """ Resolution min value on spatial axis (FHWM of PSF) """ rmin = self.get('s_resolution_min', default=None) return rmin if not rmin else rmin * u.arcsec @property def s_resolution_max(self): """ Resolution max value on spatial axis (FHWM of PSF) """ rmax = self.get('s_resolution_max', default=None) return rmax if not rmax else rmax * u.arcsec @property def s_calib_status(self): """ A string to encode the calibration status along the spatial axis (astrometry). Possible values could be {uncalibrated, raw, calibrated} """ return self.get('s_calib_status', decode=True, default=None) @property def s_stat_error(self): """ This parameter gives an estimate of the astrometric statistical error after the astrometric calibration phase. """ return self.get('s_stat_error', decode=True, default=None) @property def s_pixel_scale(self): """ This corresponds to the sampling precision of the data along the spatial axis. It is stored as a real number corresponding to the spatial sampling period, i.e., the distance in world coordinates system units between two pixel centers. It may contain two values if the pixels are rectangular. """ return self.get('s_pixel_scale', decode=True, default=None) # TIME CHARACTERISATION @property def t_xel(self): """ Number of elements along the time axis """ return self.get('t_xel') @property def t_ref_pos(self): """ Time Axis Reference Position as defined in STC REC, Section 4.4.1.1.1 """ return self.get('t_ref_pos', decode=True, default=None) @property def t_min(self): """ The start time of the observation specified in MJD as an `~astropy.time.Time` instance. In case of data products result of the combination of multiple frames, min time must be the minimum of the start times. ``None`` is used for NaN response values. """ t_min = self.get('t_min') if np.isfinite(t_min): return Time(t_min, format='mjd') else: return None @property def t_max(self): """ The stop time of the observation specified in MJD as an `~astropy.time.Time` instance. In case of data products result of the combination of multiple frames, t_max must be the maximum of the stop times. ``None`` is used for NaN response values. """ t_max = self.get('t_max') if np.isfinite(t_max): return Time(t_max, format='mjd') else: return None @property def t_exptime(self): """ Total exposure time. For simple exposures, this is just the time_bounds size expressed in seconds. For data where the detector is not active at all times (e.g. data products made by combining exposures taken at different times), the t_exptime will be smaller than the time_bounds interval. For data where the xptime is not constant over the entire data product, the median exposure time per pixel is a good way to characterize the typical value. In some cases, exptime is generally used as an indicator of the relative sensitivity (depth) within a single data collection (e.g. obs_collection); data providers should supply a suitable relative value when it is not feasible to define or compute the true exposure time. In case of targeted observations, on the contrary the exposure time is often adjusted to achieve similar signal to noise ratio for different targets. """ return self.get('t_exptime') * u.second @property def t_resolution(self): """ Estimated or average value of the temporal resolution. """ return self.get('t_resolution') * u.second @property def t_calib_status(self): """ Type of time coordinate calibration. Possible values are principally {uncalibrated, calibrated, raw, relative}. This may be extended for specific time domain collections. """ return self.get('t_calib_status', decode=True, default=None) @property def t_stat_error(self): """ Time coord statistical error on the time measurements in seconds """ ter = self.get('t_stat_error', default=None) return ter if not ter else ter * u.second # SPECTRAL CHARACTERISATION @property def em_xel(self): """ Number of elements along the spectral axis """ return self.get('em_xel') @property def em_ucd(self): """ Nature of the spectral axis """ return self.get('em_ucd', decode=True, default=None) @property def em_unit(self): """ Units along the spectral axis """ return self.get('em_unit', decode=True, default=None) @property def em_calib_status(self): """ This attribute of the spectral axis indicates the status of the data in terms of spectral calibration. Possible values are defined in the Characterisation Data Model and belong to {uncalibrated , calibrated, relative, absolute}. """ return self.get('em_calib_status', decode=True, default=None) @property def em_min(self): """ Minimum of the spectral interval covered by the observation """ return self.get('em_min') * u.meter @property def em_max(self): """ Maximum of the spectral interval covered by the observation """ return self.get('em_max') * u.meter @property def em_res_power(self): """ Average estimation for the spectral resolution power stored as a double value, with no unit. """ return self.get("em_res_power") @property def em_res_power_min(self): """ Resolving power min value on spectral axis """ return self.get('em_res_power_min', None) @property def em_res_power_max(self): """ Resolving power max value on spectral axis """ return self.get('em_res_power_max', None) @property def em_resolution(self): """ A mean estimate of the resolution, e.g. Full Width at Half Maximum (FWHM) of the Line Spread Function (or LSF). This can be used for narrow range spectra whereas in the majority of cases, the resolution power is preferable due to the LSF variation along the spectral axis. """ if 'em_resolution' in self.keys(): return self.get('em_resolution') * u.meter return None @property def em_stat_error(self): """ Spectral coord statistical error (accuracy along the spectral axis) """ if 'em_stat_error' in self.keys(): return self.get('em_stat_error') * u.meter return None # OBSERVABLE AXIS @property def o_ucd(self): """ Nature of the observable axis within the data product """ return self.get('o_ucd', decode=True) @property def o_unit(self): """ Units along the observable axis """ return self.get('o_unit', decode=True, default=None) @property def o_calib_status(self): """ Type of calibration applied on the Flux observed (or other observable quantity). """ return self.get('o_calib_status', decode=True, default=None) @property def o_stat_error(self): """ Statistical error on the Observable axis. Note: the return value has the units defined in unit """ return self.get('o_stat_error', decode=True, default=None) # POLARIZATION CHARACTERISATION @property def pol_xel(self): """ Number of different polarization states present in the data. The default value is 0, indicating that polarization was not explicitly observed. Corresponding values are stored in the ``pol`` property """ return self.get('pol_xel') @property def pol_states(self): """ List of polarization states present in the data file. Possible values are: {I Q U V RR LL RL LR XX YY XY YX POLI POLA}. Values in the set are separated by the '/' character. A leading / character must start the list and a trailing / character must end it. It should be ordered following the above list, compatible with the FITS list table for polarization definition. """ return self.get('pol_states', decode=True, default=None) # PROVENANCE @property def instrument_name(self): """ The name of the instrument used for the acquisition of the data """ return self.get('instrument_name', decode=True) @property def facility_name(self): """ Name of the facility or observatory used to collect the data """ return self.get('facility_name', decode=True, default=None) @property def proposal_id(self): """ Identifier of proposal to which observation belongs """ return self.get('proposal_id', default=None, decode=True) @deprecated("1.5", alternative="SIA2Service") class SIAService(SIA2Service): pass @deprecated("1.5", alternative="SIA2Query") class SIAQuery(SIA2Query): pass @deprecated("1.5", alternative="SIA2Results") class SIAResults(SIA2Results): pass astropy-pyvo-b70558c/pyvo/dal/sla.py000066400000000000000000000370131510533647000174430ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ A module for searching for spectral line metadata in a remote database. A Simple Line Access (SLA) service allows a client to search for metadata describing atomic and molecular transitions that can result in spectral line emission and absorption. The service responds to a search query with a table in which each row represents a transition that matches the query constraints. The columns provide the metadata describing the transition. This module provides an interface for accessing an SLA service. It is implemented as a specialization of the DAL Query interface. The ``search()`` function support the simplest and most common types of queries, returning an SLAResults instance as its results which represents the matching imagess from the archive. The SLAResults supports access to and iterations over the individual records; these are provided as SLARecord instances, which give easy access to key metadata in the response, such as the transition title. The SLAService class can represent a specific service available at a URL endpoint. """ from pyvo.io.vosi.vodataservice import TableParam from astropy.units import Quantity, Unit from astropy.units import spectral as spectral_equivalencies from astropy.io.votable.tree import Field from astropy.table import Table from .query import DALResults, DALQuery, DALService, Record __all__ = ["search", "SLAService", "SLAQuery", "SLAResults", "SLARecord"] def search(baseurl, wavelength, **keywords): """ submit a simple SLA query that requests spectral lines within a wavelength range Parameters ---------- baseurl : str the base URL for the SLA service wavelength : `~astropy.units.Quantity` class or sequence of two floats the bandwidth range the observations belong to. assuming meters if unit is not specified. **keywords : additional parameters can be given via arbitrary case insensitive keyword arguments. Where there is overlap with the parameters set by the other arguments to this function, these keywords will override. Returns ------- SLAResults a container holding a table of matching spectral lines Raises ------ DALServiceError for errors connecting to or communicating with the service DALQueryError if the service responds with an error, including a query syntax error. """ service = SLAService(baseurl) return service.search(wavelength, **keywords) class SLAService(DALService): """ a representation of an spectral line catalog (SLA) service """ def __init__(self, baseurl, *, capability_description=None, session=None): """ instantiate an SLA service Parameters ---------- baseurl : str the base URL for submitting search queries to the service. session : object optional session to use for network requests """ super().__init__(baseurl, capability_description=capability_description, session=session) def _get_metadata(self): """ download the metadata resource """ if not hasattr(self, "_metadata"): query = self.create_query(request='getCapabilities') metadata = query.execute_votable() setattr(self, "_metadata", metadata) @property def description(self): """ the service description. If this is not provided during instantiation, this method will download a sample from the service and read the description in the sample's metadata instead. """ if self._description is not None: return self._description self._get_metadata() try: return getattr(self, "_metadata", None).description except AttributeError: return None @property def columns(self): """ the available columns on this service """ self._get_metadata() fields = filter( lambda field_or_param: isinstance(field_or_param, Field), self._metadata.iter_fields_and_params() ) try: return [ TableParam.from_field(field) for field in fields] except AttributeError: return [] def search(self, wavelength, **keywords): """ submit a simple SLA query to this service with the given constraints. This method is provided for a simple but typical SLA queries. For more complex queries, one should create an SLAQuery object via create_query() Parameters ---------- wavelength : `~astropy.units.Quantity` class or sequence of two floats the bandwidth range the observations belong to. assuming meters if unit is not specified. **keywords : additional parameters can be given via arbitrary case insensitive keyword arguments. Where there is overlap with the parameters set by the other arguments to this function, these keywords will override. Returns ------- SLAResults a container holding a table of matching spectral lines Raises ------ DALServiceError for errors connecting to or communicating with the service DALQueryError if the service responds with an error, including a query syntax error. See Also -------- SLAResults pyvo.dal.DALServiceError pyvo.dal.DALQueryError """ return self.create_query(wavelength, **keywords).execute() def create_query(self, wavelength=None, *, request="queryData", **keywords): """ create a query object that constraints can be added to and then executed. The input arguments will initialize the query with the given values. Parameters ---------- wavelength : `~astropy.units.Quantity` class or sequence of two floats the bandwidth range the observations belong to. assuming meters if unit is not specified. **keywords : additional parameters can be given via arbitrary case insensitive keyword arguments. Where there is overlap with the parameters set by the other arguments to this function, these keywords will override. Returns ------- SLAQuery the query instance See Also -------- SLAQuery """ return SLAQuery(baseurl=self.baseurl, wavelength=wavelength, request=request, session=self._session, **keywords) def describe(self): print(self.description) print() rows = [( col.name, col.description, col.unit, col.ucd, col.utype, col.datatype.arraysize, col.datatype.content, ) for col in self.columns] names = ( 'name', 'description', 'unit', 'ucd', 'utype', 'arraysize', 'datatype', ) table = Table(rows=rows, names=names) table.pprint( max_lines=-1, max_width=-1, show_unit=False, show_dtype=False) class SLAQuery(DALQuery): """ a class for preparing a query to an SLA service. Query constraints are added via its service type-specific methods. The various execute() functions will submit the query and return the results. The base URL for the query, which controls where the query will be sent when one of the execute functions is called, is typically set at construction time; however, it can be updated later via the :py:attr:`~pyvo.dal.DALQuery.baseurl` to send a configured query to another service. In addition to the search constraint attributes described below, search parameters can be set generically by name via the dict semantics. The typical function for submitting the query is ``execute()``; however, alternate execute functions provide the response in different forms, allowing the caller to take greater control of the result processing. """ def __init__( self, baseurl, wavelength=None, *, request="queryData", session=None): """ initialize the query object with a baseurl and the given parameters Parameters ---------- baseurl : str the base URL for the SLA service wavelength : `~astropy.units.Quantity` class or sequence of two floats the bandwidth range the observations belong to. assuming meters if unit is not specified. session : object optional session to use for network requests """ super().__init__(baseurl, session=session) if wavelength is not None: self.wavelength = wavelength self.request = request @property def wavelength(self): """ the frequency/wavelength range the observations belong to. """ return getattr(self, "_wavelength", None) @wavelength.setter def wavelength(self, wavelength): setattr(self, "_wavelength", wavelength) if not isinstance(wavelength, Quantity): valerr = ValueError( 'Wavelength range must be a sequence with exactly two values', 'expressing a frequency or wavelength range') try: # assume meters wavelength = wavelength * Unit("meter") except ValueError: raise valerr try: if len(wavelength) != 2: raise valerr except TypeError: raise valerr # transform to meters wavelength = wavelength.to( Unit("m"), equivalencies=spectral_equivalencies()) # frequency is counter-proportional to wavelength, so we just sort it # to have the right order again wavelength.sort() self["WAVELENGTH"] = "{start}/{end}".format( start=wavelength.value[0], end=wavelength.value[1]) @wavelength.deleter def wavelength(self): delattr(self, "_wavelength") del self["WAVELENGTH"] @property def request(self): """ the type of service operation which is being performed """ return getattr(self, "_request", None) @request.setter def request(self, val): setattr(self, "_request", val) self["REQUEST"] = val @request.deleter def request(self): delattr(self, "_request") del self["REQUEST"] def execute(self): """ submit the query and return the results as a SLAResults instance Raises ------ DALServiceError for errors connecting to or communicating with the service DALQueryError for errors either in the input query syntax or other user errors detected by the service DALFormatError for errors parsing the VOTable response """ return SLAResults(self.execute_votable(), url=self.queryurl, session=self._session) class SLAResults(DALResults): """ The list of matching spectral lines resulting from a spectal line catalog (SLA) query. Each record contains a set of metadata that describes a source or observation within the requested circular region (i.e. a "cone"). The number of records in the results is available by passing it to the Python built-in ``len()`` function. This class supports iterable semantics; thus, individual records (in the form of :py:class:`~pyvo.dal.sla.SLARecord` instances) are typically accessed by iterating over an ``SLAResults`` instance. Alternatively, records can be accessed randomly via :py:meth:`getrecord` or through a Python Database API (v2) Cursor (via :py:meth:`~pyvo.dal.DALResults.cursor`). Column-based data access is possible via the :py:meth:`~pyvo.dal.DALResults.getcolumn` method. ``SLAResults`` is essentially a wrapper around an Astropy :py:mod:`~astropy.io.votable` :py:class:`~astropy.io.votable.tree.TableElement` instance where the columns contain the various metadata describing the images. One can access that VOTable directly via the :py:attr:`~pyvo.dal.DALResults.votable` attribute. Thus, when one retrieves a whole column via :py:meth:`~pyvo.dal.DALResults.getcolumn`, the result is a Numpy array. Alternatively, one can manipulate the results as an Astropy :py:class:`~astropy.table.table.Table` via the following conversion: ``table = results.votable.to_table()`` ``SLAResults`` supports the array item operator ``[...]`` in a read-only context. When the argument is numerical, the result is an :py:class:`~pyvo.dal.sla.SLARecord` instance, representing the record at the position given by the numerical index. If the argument is a string, it is interpreted as the name of a column, and the data from the column matching that name is returned as a Numpy array. """ def getrecord(self, index): """ return a representation of a sla result record that follows dictionary semantics. The keys of the dictionary are those returned by this instance's fieldnames attribute. The returned record has additional image-specific properties Parameters ---------- index : int the integer index of the desired record where 0 returns the first record Returns ------- SLARecord a dictionary-like wrapper containing the result record metadata. Raises ------ IndexError if index is negative or equal or larger than the number of rows in the result table. See Also -------- Record """ return SLARecord(self, index, session=self._session) class SLARecord(Record): """ a dictionary-like container for data in a record from the results of an spectral line (SLA) query, describing a spectral line transition. The commonly accessed metadata which are stadardized by the SLA protocol are available as attributes. All metadata, particularly non-standard metadata, are acessible via the ``get(`` *key* ``)`` function (or the [*key*] operator) where *key* is table column name. """ @property def title(self): """ a title/small description of the line transition """ return self.getbyutype("ssldm:Line.title", decode=True) @property def wavelength(self): """ the vacuum wavelength of the line in meters. """ return self.getbyutype("ssldm:Line.wavelength.value") * Unit("m") @property def species_name(self): """ the name of the chemical species that produces the transition. """ return self.getbyutype("ssldm:Line.species.name") @property def status(self): """ the name of the chemical species that produces the transition. """ return self.getbyutype("ssldm:Line.identificationStatus") @property def initial_level(self): """ a description of the initial (higher energy) quantum level """ return self.getbyutype("ssldm:Line.initialLevel.name", decode=True) @property def final_level(self): """ a description of the final (higher energy) quantum level """ return self.getbyutype("ssldm:Line.finalLevel.name") astropy-pyvo-b70558c/pyvo/dal/ssa.py000066400000000000000000000642041510533647000174540ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ A module for searching for spectra in a remote archive. A Simple Spectral Access (SSA) service allows a client to search for spectra in an archive whose field of view overlaps with a given cone on the sky. The service responds to a search query with a table in which each row represents an image that is available for download. The columns provide metadata describing each image and one column in particular provides the image's download URL (also called the *access reference*, or *acref*). Some SSA services can create spectra on-the-fly from underlying data (e.g. image cubes); in this case, the query result is a table of images whose aperture matches the requested cone and which will be created when accessed via the download URL. This module provides an interface for accessing an SSA service. It is implemented as a specialization of the DAL Query interface. The ``search()`` function support the simplest and most common types of queries, returning an SSAResults instance as its results which represents the matching imagess from the archive. The SSAResults supports access to and iterations over the individual records; these are provided as SSARecord instances, which give easy access to key metadata in the response, such as the position of the spectrum's aperture, the spectrum format, its frequency range, and its download URL. The SSAService class can represent a specific service available at a URL endpoint. """ import re from pyvo.io.vosi.vodataservice import TableParam from astropy.coordinates import SkyCoord from astropy.time import Time from astropy.units import Quantity, Unit from astropy.units import spectral as spectral_equivalencies from astropy.io.votable.tree import Field from astropy.table import Table import numpy as np from .query import DALResults, DALQuery, DALService, Record from .mimetype import mime2extension from .adhoc import DatalinkResultsMixin, DatalinkRecordMixin, SodaRecordMixin from .. import samp __all__ = ["search", "SSAService", "SSAQuery", "SSAResults", "SSARecord"] def search( baseurl, pos=None, *, diameter=None, band=None, time=None, format=None, **keywords): """ submit a simple SSA query that requests spectra overlapping a given region Parameters ---------- baseurl : str the base URL for the SSA service pos : `~astropy.coordinates.SkyCoord` class or sequence of two floats the position of the center of the circular search region. assuming icrs decimal degrees if unit is not specified. diameter : `~astropy.units.Quantity` class or scalar float the diameter of the circular region around pos in which to search. assuming icrs decimal degrees if unit is not specified. band : `~astropy.units.Quantity` class or sequence of two floats the bandwidth range the observations belong to. assuming meters if unit is not specified. time : `~astropy.time.Time` class or sequence of two strings the datetime range the observations were made in. assuming iso 8601 if format is not specified. format : str the image format(s) of interest. "all" indicates all available formats; "graphic" indicates graphical images (e.g. jpeg, png, gif; not FITS); "metadata" indicates that no images should be returned--only an empty table with complete metadata. **keywords : additional case insensitive parameters can be given via arbitrary case insensitive keyword arguments. Where there is overlap with the parameters set by the other arguments to this function, these keywords will override. Returns ------- SSAResults a container holding a table of matching spectrum records Raises ------ DALServiceError for errors connecting to or communicating with the service DALQueryError if the service responds with an error, including a query syntax error. See Also -------- SSAResults pyvo.dal.DALServiceError pyvo.dal.DALQueryError """ return SSAService(baseurl).search( pos=pos, diameter=diameter, band=band, time=time, format=format, **keywords) class SSAService(DALService): """ a representation of an SSA service """ def __init__(self, baseurl, *, capability_description=None, session=None): """ instantiate an SSA service Parameters ---------- baseurl : str the base URL for submitting search queries to the service. """ super().__init__(baseurl, session=session, capability_description=capability_description) def _get_metadata(self): """ the metadata resource element """ if not hasattr(self, "_metadata"): query = self.create_query(format='metadata') metadata = query.execute_votable() setattr(self, "_metadata", metadata) @property def description(self): """ the service description. """ self._get_metadata() try: return getattr(self, "_metadata", None).description except AttributeError: return None @property def columns(self): """ the available columns on this service """ self._get_metadata() fields = filter( lambda field_or_param: isinstance(field_or_param, Field), self._metadata.iter_fields_and_params() ) try: return [ TableParam.from_field(field) for field in fields] except AttributeError: return [] def search( self, pos=None, *, diameter=None, band=None, time=None, format=None, **keywords): """ submit a SSA query to this service with the given constraints. Parameters ---------- pos : `~astropy.coordinates.SkyCoord` class or sequence of two floats the position of the center of the circular search region. assuming icrs decimal degrees if unit is not specified. diameter : `~astropy.units.Quantity` class or scalar float the diameter of the circular region around pos in which to search. assuming icrs decimal degrees if unit is not specified. band : `~astropy.units.Quantity` class or sequence of two floats the bandwidth range the observations belong to. assuming meters if unit is not specified. time : `~astropy.time.Time` class or sequence of two strings the datetime range the observations were made in. assuming iso 8601 if format is not specified. format : str the image format(s) of interest. "all" indicates all available formats; "graphic" indicates graphical images (e.g. jpeg, png, gif; not FITS); "metadata" indicates that no images should be returned--only an empty table with complete metadata. **keywords : additional case insensitive parameters can be given via arbitrary case insensitive keyword arguments. Where there is overlap with the parameters set by the other arguments to this function, these keywords will override. Returns ------- SSAResults a container holding a table of matching catalog records Raises ------ DALServiceError for errors connecting to or communicating with the service DALQueryError if the service responds with an error, including query syntax errors See Also -------- SSAResults pyvo.dal.DALServiceError pyvo.dal.DALQueryError """ return self.create_query( pos=pos, diameter=diameter, band=band, time=time, format=format, **keywords).execute() def create_query( self, pos=None, *, diameter=None, band=None, time=None, format=None, request="queryData", **keywords): """ create a query object that constraints can be added to and then executed. The input arguments will initialize the query with the given values. Parameters ---------- pos : `~astropy.coordinates.SkyCoord` class or sequence of two floats the position of the center of the circular search region. assuming icrs decimal degrees if unit is not specified. diameter : `~astropy.units.Quantity` class or scalar float the diameter of the circular region around pos in which to search. assuming icrs decimal degrees if unit is not specified. band : `~astropy.units.Quantity` class or sequence of two floats the bandwidth range the observations belong to. assuming meters if unit is not specified. time : `~astropy.time.Time` class or sequence of two strings the datetime range the observations were made in. assuming iso 8601 if format is not specified. format : str the image format(s) of interest. "all" indicates all available formats; "graphic" indicates graphical images (e.g. jpeg, png, gif; not FITS); "metadata" indicates that no images should be returned--only an empty table with complete metadata. **keywords : additional case insensitive parameters can be given via arbitrary case insensitive keyword arguments. Where there is overlap with the parameters set by the other arguments to this function, these keywords will override. Returns ------- SSAQuery the query instance See Also -------- SSAQuery """ return SSAQuery( self.baseurl, pos=pos, diameter=diameter, band=band, time=time, format=format, request=request, session=self._session, **keywords) def describe(self): print(self.description) print() rows = [( col.name, col.description, col.unit, col.ucd, col.utype, col.datatype.arraysize, col.datatype.content, ) for col in self.columns] names = ( 'name', 'description', 'unit', 'ucd', 'utype', 'arraysize', 'datatype', ) table = Table(rows=rows, names=names) table.pprint( max_lines=-1, max_width=-1, show_unit=False, show_dtype=False) class SSAQuery(DALQuery): """ a class for preparing a query to an SSA service. Query constraints are added via its service type-specific properties and methods. Once all the constraints are set, one of the various execute() functions can be called to submit the query and return the results. The base URL for the query, which controls where the query will be sent when one of the execute functions is called, is typically set at construction time; however, it can be updated later via the :py:attr:`~pyvo.dal.DALQuery.baseurl` to send a configured query to another service. The typical function for submitting the query is ``execute()``; however, alternate execute functions provide the response in different forms, allowing the caller to take greater control of the result processing. """ def __init__( self, baseurl, pos=None, *, diameter=None, band=None, time=None, format=None, request="queryData", session=None, **keywords): """ initialize the query object with a baseurl and the given parameters Parameters ---------- baseurl : str the base URL for the SSA service pos : `~astropy.coordinates.SkyCoord` class or sequence of two floats the position of the center of the circular search region. assuming icrs decimal degrees if unit is not specified. diameter : `~astropy.units.Quantity` class or scalar float the diameter of the circular region around pos in which to search. assuming icrs decimal degrees if unit is not specified. band : `~astropy.units.Quantity` class or sequence of two floats the bandwidth range the observations belong to. assuming meters if unit is not specified. time : `~astropy.time.Time` class or sequence of two strings the datetime range the observations were made in. assuming iso 8601 if format is not specified. format : str the image format(s) of interest. "all" indicates all available formats; "graphic" indicates graphical images (e.g. jpeg, png, gif; not FITS); "metadata" indicates that no images should be returned--only an empty table with complete metadata. session : object optional session to use for network requests **keywords : additional case insensitive parameters can be given via arbitrary case insensitive keyword arguments. Where there is overlap with the parameters set by the other arguments to this function, these keywords will override. """ super().__init__(baseurl, session=session) if pos is not None: self.pos = pos if diameter is not None: self.diameter = diameter if band is not None: self.band = band if time is not None: self.time = time if format is not None: self.format = format self.request = request self.update({key.upper(): value for key, value in keywords.items()}) @property def pos(self): """ the position of the center of the circular search region as a `~astropy.coordinates.SkyCoord` instance. """ return getattr(self, "_pos", None) @pos.setter def pos(self, pos): setattr(self, "_pos", pos) if not isinstance(pos, SkyCoord): try: ra, dec = pos except (TypeError, ValueError): raise ValueError( 'Pos must be a sequence with exactly two values, ' 'expressing ra and dec in icrs degrees' ) # assume degrees pos = SkyCoord(ra=ra, dec=dec, unit="deg", frame="icrs") self["POS"] = "{ra},{dec}".format( ra=pos.icrs.ra.deg, dec=pos.icrs.dec.deg) @pos.deleter def pos(self): delattr(self, "_pos") del self["POS"] @property def diameter(self): """ the diameter of the circular region around pos as a `~astropy.units.Quantity` instance. """ return getattr(self, "_diameter", None) @diameter.setter def diameter(self, diameter): setattr(self, "_diameter", diameter) if not isinstance(diameter, Quantity): valerr = ValueError( 'Diameter must be exactly one value, expressing degrees') try: # assume degrees diameter = diameter * Unit("deg") except ValueError: raise valerr try: if len(diameter): raise valerr except TypeError: pass # len 1 self["SIZE"] = diameter.to(Unit("deg")).value @diameter.deleter def diameter(self): delattr(self, "_diameter") del self["SIZE"] @property def band(self): """ the bandwidth range the observations belong to. """ return getattr(self, "_band", None) @band.setter def band(self, band): setattr(self, "_band", band) if not isinstance(band, Quantity): valerr = ValueError( 'Band must be a sequence with exactly two values', 'expressing a frequency or wavelength range') try: # assume meters band = band * Unit("meter") except ValueError: raise valerr try: if len(band) != 2: raise valerr except TypeError: raise valerr # transform to meters band = band.to(Unit("m"), equivalencies=spectral_equivalencies()) # frequency is counter-proportional to wavelength, so we just sort # it to have the right order again band.sort() self["BAND"] = "{start}/{end}".format( start=band.value[0], end=band.value[1]) @band.deleter def band(self): delattr(self, "_band") del self["BAND"] @property def time(self): """ the datetime range the observations were made in. """ return getattr(self, "_time", None) @time.setter def time(self, time): setattr(self, "_time", time) if not isinstance(time, Time): valerr = ValueError( 'Time must be a sequence with exactly two values, ' 'expressing a datetime in ISO 8601' ) try: # assume iso8601 time = Time(time, format="isot") except ValueError: raise valerr try: if len(time) != 2: raise valerr except TypeError: raise valerr # It seems astropy either has seconds and microseconds (the date_hms # subformat) or no seconds at all (the date_hm subformat). SSAP # probably doesn't allow microseconds. Rather than fix this # via a new astropy subformat, let's get by with local string # operations. literals = time.to_value('isot') self["TIME"] = "{start}/{end}".format( start=literals[0].split(".")[0], end=literals[1].split(".")[0]) @time.deleter def time(self): delattr(self, "_time") del self["TIME"] @property def format(self): """ the image format(s) of interest. "all" indicates all available formats; "graphic" indicates graphical images (e.g. jpeg, png, gif; not FITS); "metadata" indicates that no images should be returned--only an empty table with complete metadata. """ return getattr(self, "_format", None) @format.setter def format(self, val): setattr(self, "_format", val) if isinstance(val, (str, bytes)): val = [val] self["FORMAT"] = ",".join(val) @format.deleter def format(self): delattr(self, "_format") del self["FORMAT"] @property def request(self): """ the type of service operation which is being performed """ return getattr(self, "_request", None) @request.setter def request(self, val): setattr(self, "_request", val) self["REQUEST"] = val @request.deleter def request(self): delattr(self, "_request") del self["REQUEST"] def execute(self): """ submit the query and return the results as a SSAResults instance Raises ------ DALServiceError for errors connecting to or communicating with the service DALQueryError for errors either in the input query syntax or other user errors detected by the service DALFormatError for errors parsing the VOTable response """ return SSAResults(self.execute_votable(), url=self.queryurl, session=self._session) class SSAResults(DatalinkResultsMixin, DALResults): """ The list of matching images resulting from a spectrum (SSA) query. Each record contains a set of metadata that describes an available spectrum matching the query constraints. The number of records in the results is by passing it to the Python built-in ``len()`` function. This class supports iterable semantics; thus, individual records (in the form of :py:class:`~pyvo.dal.ssa.SSARecord` instances) are typically accessed by iterating over an ``SSAResults`` instance. Alternatively, records can be accessed randomly via :py:meth:`getrecord` or through a Python Database API (v2) Cursor (via :py:meth:`~pyvo.dal.DALResults.cursor`). Column-based data access is possible via the :py:meth:`~pyvo.dal.DALResults.getcolumn` method. ``SSAResults`` is essentially a wrapper around an Astropy :py:mod:`~astropy.io.votable` :py:class:`~astropy.io.votable.tree.TableElement` instance where the columns contain the various metadata describing the spectra. One can access that VOTable directly via the :py:attr:`~pyvo.dal.DALResults.votable` attribute. Thus, when one retrieves a whole column via :py:meth:`~pyvo.dal.DALResults.getcolumn`, the result is a Numpy array. Alternatively, one can manipulate the results as an Astropy :py:class:`~astropy.table.table.Table` via the following conversion: ``table = results.votable.to_table()`` ``SSAResults`` supports the array item operator ``[...]`` in a read-only context. When the argument is numerical, the result is an :py:class:`~pyvo.dal.ssa.SSARecord` instance, representing the record at the position given by the numerical index. If the argument is a string, it is interpreted as the name of a column, and the data from the column matching that name is returned as a Numpy array. """ def getrecord(self, index): """ return a representation of a sia result record that follows dictionary semantics. The keys of the dictionary are those returned by this instance's fieldnames attribute. The returned record has additional image-specific properties Parameters ---------- index : int the integer index of the desired record where 0 returns the first record Returns ------- SIARecord a dictionary-like wrapper containing the result record metadata. Raises ------ IndexError if index is negative or equal or larger than the number of rows in the result table. See Also -------- Record """ return SSARecord(self, index, session=self._session) class SSARecord(SodaRecordMixin, DatalinkRecordMixin, Record): """ a dictionary-like container for data in a record from the results of an SSA query, describing an available spectrum. The commonly accessed metadata which are stadardized by the SSA protocol are available as attributes. If the metadatum accessible via an attribute is not available, the value of that attribute will be None. All metadata, including non-standard metadata, are acessible via the ``get(`` *key* ``)`` function (or the [*key*] operator) where *key* is table column name. """ @property def ra(self): """ return the right ascension of the center of the spectrum """ return self.getbyutype("ssa:Target.Pos")[0] @property def dec(self): """ return the declination of the center of the spectrum """ return self.getbyutype("ssa:Target.Pos")[1] @property def title(self): """ return the title of the spectrum """ return self.getbyutype("ssa:DataID.Title", decode=True) @property def format(self): """ return the file format that this the spectrum is stored in """ return self.getbyutype("ssa:Access.Format", decode=True) @property def dateobs(self): """ return the modified Julien date (MJD) of the mid-point of the observational data that went into the spectrum """ dateobs = self.getbyutype("ssa:DataID.Date", decode=True) try: if not dateobs or np.isnan(dateobs): return None except TypeError: # np.isnan can only check floats. If can't check for nan, pass it along pass return Time(dateobs, format="iso") @property def instr(self): """ return the name of the instrument (or instruments) that produced the data that went into this spectrum. """ return self.getbyutype("ssa:DataID.Instrument", decode=True) @property def acref(self): """ return the URL that can be used to retrieve the spectrum. """ return self.getbyutype("ssa:Access.Reference", decode=True) @property def filesize(self): """ The (estimated) size of the image in bytes """ return self.getbyutype("ssa:Access.Size") def getdataurl(self): """ return the URL contained in the access URL column which can be used to retrieve the dataset described by this record. None is returned if no such column exists. """ dataurl = super().getdataurl() if dataurl is None: return self.acref else: return dataurl def suggest_dataset_basename(self): """ return a default base filename that the dataset available via ``getdataset()`` can be saved as. This function is specialized for a particular service type this record originates from so that it can be used by ``cachedataset()`` via ``make_dataset_filename()``. """ out = self.title if isinstance(out, bytes): out = out.decode('utf-8') if not out: out = "spectrum" else: out = re.sub(r'\s+', '_', out.strip()) return out def suggest_extension(self, *, default=None): """ returns a recommended filename extension for the dataset described by this record. Typically, this would look at the column describing the format and choose an extension accordingly. """ return mime2extension(self.format, default) def broadcast_samp(self, *, client_name=None): """ Broadcast the spectrum to ``client_name`` via SAMP """ with samp.connection() as conn: samp.send_spectrum_to( conn, self.getdataurl(), client_name, name=self.suggest_dataset_basename()) astropy-pyvo-b70558c/pyvo/dal/tap.py000066400000000000000000001211431510533647000174460ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ A module for accessing remote source and observation catalogs """ from functools import partial from datetime import datetime import time from time import sleep import random import requests from urllib.parse import urlparse, urljoin from astropy.io.votable import parse as votableparse from .query import ( DALResults, DALQuery, DALService, Record, UploadList, DALServiceError, DALQueryError) from .vosi import AvailabilityMixin, CapabilityMixin, VOSITables from .adhoc import DatalinkResultsMixin, DatalinkRecordMixin, SodaRecordMixin from ..io import vosi, uws from ..io.vosi import tapregext as tr from ..utils.formatting import para_format_desc from ..utils.http import use_session from ..utils.prototype import prototype_feature import xml.etree.ElementTree import io __all__ = [ "search", "escape", "TAPService", "TAPQuery", "AsyncTAPJob", "TAPResults"] IVOA_DATETIME_FORMAT = "%Y-%m-%dT%H:%M:%S.%fZ" # file formats supported by table upload and their corresponding MIME types TABLE_UPLOAD_FORMAT = {'tsv': 'text/tab-separated-values', 'csv': 'text/csv', 'FITSTable': 'application/fits'} # file formats supported by table create and their corresponding MIME types TABLE_DEF_FORMAT = {'VOSITable': 'text/xml', 'VOTable': 'application/x-votable+xml'} # common transient errors that can be retried TRANSIENT_ERRORS = (requests.exceptions.ConnectionError, requests.exceptions.Timeout) def _from_ivoa_format(datetime_str): """ parses an ivoa date in ISO 8601 format: YYYY-MM-DDTHH:MM:SS.[mmm]Z :param datetime_str: :return: corresponding datetime object """ # TODO Replace with datetime.fromisoformat(date_string) in Python3.7+ try: # with fraction of seconds first return datetime.strptime(datetime_str, IVOA_DATETIME_FORMAT) except ValueError: # and without return datetime.strptime(datetime_str, "%Y-%m-%dT%H:%M:%SZ") def escape(term): """ escapes a term for use in ADQL """ return str(term).replace("'", "''") def search(url, query, *, language="ADQL", maxrec=None, uploads=None, **keywords): """ submit a Table Access query that returns rows matching the criteria given. Parameters ---------- url : str the base URL of the query service. query : str, dict The query string / parameters language : str specifies the query language, default ADQL. useful for services which allow to use the backend query language. maxrec : int the maximum records to return. defaults to the service default uploads : dict a mapping from table names to file like objects containing a votable Returns ------- TAPResults a container holding a table of matching catalog records Raises ------ DALServiceError for errors connecting to or communicating with the service. DALQueryError if the service responds with an error, including a query syntax error. """ service = TAPService(url) return service.search(query, language=language, maxrec=maxrec, uploads=uploads, **keywords) class TAPService(DALService, AvailabilityMixin, CapabilityMixin): """ a representation of a Table Access Protocol service """ _tables = None _examples = None def __init__(self, baseurl, *, capability_description=None, session=None): """ instantiate a Table Access Protocol service Parameters ---------- baseurl : str the base URL that should be used for forming queries to the service. session : object optional session to use for network requests """ try: super().__init__(baseurl, session=session, capability_description=capability_description) # Check if the session has an update_from_capabilities attribute. # This means that the session is aware of IVOA capabilities, # and can use this information in processing network requests. # One such use case for this is auth. if hasattr(self._session, 'update_from_capabilities'): self._session.update_from_capabilities(self.capabilities) except DALServiceError as e: raise DALServiceError(f"Cannot find TAP service at '" f"{baseurl}'.\n\n{str(e)}") from None def get_tap_capability(self): """ returns the (first) TAP capability of this service. Returns ------- A `~pyvo.io.vosi.tapregext.TableAccess` instance. """ for capa in self.capabilities: if isinstance(capa, tr.TableAccess): return capa raise DALServiceError("Invalid TAP service: Does not" " expose a tr:TableAccess capability") @property def tables(self): """ returns tables as a dict-like object """ if self._tables is None: tables_url = f'{self.baseurl}/tables' response = self._session.get(tables_url, params={"detail": "min"}, stream=True) try: response.raise_for_status() except requests.RequestException as ex: raise DALServiceError.from_except(ex, tables_url) # requests doesn't decode the content by default response.raw.read = partial(response.raw.read, decode_content=True) self._tables = VOSITables( vosi.parse_tables(response.raw.read), tables_url) return self._tables def _parse_examples(self, examples_uri, *, depth=0): """returns the TAP queries from a DALI examples URI. """ if depth > 5: raise DALServiceError("Suspecting endless recursion when" " parsing TAP examples") response = self._session.get(examples_uri, stream=True) if response.status_code == 404: return [] try: response.raise_for_status() except requests.RequestException as ex: raise DALServiceError.from_except(ex, examples_uri) try: root = xml.etree.ElementTree.parse( io.BytesIO(response.content)).getroot() example_elements = root.findall('.//*[@property="query"]') except Exception as ex: raise DALServiceError.from_except(ex, examples_uri) examples = [TAPQuery(self.baseurl, example.text) for example in example_elements] for continuation in root.findall('.//*[@property="continuation"]'): examples.extend( self._parse_examples(continuation.get("href"), depth=depth + 1)) return examples @property def examples(self): """ returns examples as a list of TAPQuery objects """ if self._examples is None: examples_url = f'{self.baseurl}/examples' self._examples = self._parse_examples(examples_url) return self._examples @property def maxrec(self): """ the default output limit. Raises ------ DALServiceError if the property is not exposed by the service """ try: return self.get_tap_capability().outputlimit.default.content except AttributeError: pass raise DALServiceError("Default limit not exposed by the service") @property def hardlimit(self): """ the hard output limit. Raises ------ DALServiceError if the property is not exposed by the service """ try: return self.get_tap_capability().outputlimit.hard.content except AttributeError: pass raise DALServiceError("Hard limit not exposed by the service") @property def upload_methods(self): """ a list of upload methods in form of :py:class:`~pyvo.io.vosi.tapregext.UploadMethod` objects """ return self.get_tap_capability().uploadmethods def run_sync( self, query, *, language="ADQL", maxrec=None, uploads=None, **keywords): """ runs sync query and returns its result Parameters ---------- query : str The query language : str specifies the query language, default ADQL. useful for services which allow to use the backend query language. maxrec : int the maximum records to return. defaults to the service default uploads : dict a mapping from table names to objects containing a votable Returns ------- TAPResults the query result See Also -------- TAPResults """ return self.create_query( query, language=language, maxrec=maxrec, uploads=uploads, **keywords).execute() # alias for service discovery search = run_sync def run_async( self, query, *, language="ADQL", maxrec=None, uploads=None, delete=True, **keywords): """ runs async query and returns its result Parameters ---------- query : str, dict the query string / parameters language : str specifies the query language, default ADQL. useful for services which allow to use the backend query language. maxrec : int the maximum records to return. defaults to the service default uploads : dict a mapping from table names to objects containing a votable delete : bool delete the job after fetching the results Returns ------- TAPResult the query instance Raises ------ DALServiceError for errors connecting to or communicating with the service DALQueryError for errors either in the input query syntax or other user errors detected by the service DALFormatError for errors parsing the VOTable response See Also -------- AsyncTAPJob """ job = AsyncTAPJob.create( self.baseurl, query, language=language, maxrec=maxrec, uploads=uploads, session=self._session, **keywords) job = job.run().wait() try: job.raise_if_error() except DALQueryError: if delete: job.delete() raise result = job.fetch_result(max_retries=keywords.get('max_retries', 0)) if delete: job.delete() return result def submit_job( self, query, *, language="ADQL", maxrec=None, uploads=None, **keywords): """ submit a async query without starting it and returns a AsyncTAPJob object Parameters ---------- query : str the query string / parameters language : str specifies the query language, default ADQL. useful for services which allow to use the backend query language. maxrec : int the maximum records to return. defaults to the service default uploads : dict a mapping from table names to objects containing a votable Returns ------- AsyncTAPJob the query instance See Also -------- AsyncTAPJob """ return AsyncTAPJob.create( self.baseurl, query, language=language, maxrec=maxrec, uploads=uploads, session=self._session, **keywords) def create_query( self, query=None, *, mode="sync", language="ADQL", maxrec=None, uploads=None, **keywords): """ create a query object that constraints can be added to and then executed. The input arguments will initialize the query with the given values. Parameters ---------- query : str the query string / parameters mode : str the query mode (sync | async). default "sync" language : str specifies the query language, default ADQL. useful for services which allow to use the backend query language. maxrec : int specifies the maximum records to return. defaults to the service default. uploads : dict a mapping from table names to objects containing a votable. """ return TAPQuery( self.baseurl, query, mode=mode, language=language, maxrec=maxrec, uploads=uploads, session=self._session, **keywords) def get_job(self, job_id): """ Returns the job corresponding to an ID. Note that the caller must be able to see the job in the current security context. Parameters ---------- job_id : str ID of the job to view Returns ------- `~pyvo.io.uws.tree.JobSummary` corresponding to the job ID """ response = self._session.get( self.baseurl + '/async/' + job_id, stream=True) response.raw.read = partial(response.raw.read, decode_content=True) return uws.parse_job(response.raw.read) def get_job_list(self, *, phases=None, after=None, last=None, short_description=True): """ lists jobs that the caller can see in the current security context. The list can be filtered on the server side by the phases of the jobs, creation date time or Note that by default jobs in 'ARCHIVED' phase are not returned. Parameters ---------- phases: list of str Union of job phases to filter the results by. after: datetime Return only jobs created after this datetime last: int Return only the most recent number of jobs short_description: flag - True or False If True, the jobs in the list will contain only the information corresponding to the TAP ShortJobDescription object (job ID, phase, run ID, owner ID and creation ID) whereas if False, a separate GET call to each job is performed for the complete job description. Returns ------- list of `~pyvo.io.uws.tree.JobSummary` """ params = {'PHASE': phases, 'LAST': last} if after: if isinstance(after, str): after = _from_ivoa_format(after) params['AFTER'] = after.strftime(IVOA_DATETIME_FORMAT) response = self._session.get(f'{self.baseurl}/async', params=params, stream=True) response.raw.read = partial(response.raw.read, decode_content=True) jobs = uws.parse_job_list(response.raw.read) if not short_description: dj = [] for job in jobs: dj.append(self.get_job(job.jobid)) return dj else: return list(jobs) def describe(self, width=None): """ Print a summary description of this service. This includes the interface capabilities, and the content description if it doesn't contain multiple data collections (in other words, it is not a TAP service). """ if len(self.tables) == 1: description = next(self.tables.values()).description if width: description = para_format_desc(description, width) print(description) print() capabilities = filter( lambda x: not str(x.standardid).startswith( 'ivo://ivoa.net/std/VOSI'), self.capabilities ) for cap in capabilities: cap.describe() print() @prototype_feature('cadc-tb-upload') def create_table(self, name, definition, *, format='VOSITable'): """ Creates a table in the catalog service. Parameters ---------- name: str Name of the table in the TAP service definition: stream (object with a read method) Definition of the table format: str Format of the table definition (VOSITable or VOTable). """ if not name or not definition: raise ValueError( 'table name and definition required in create: {}/{}'. format(name, definition)) if format not in TABLE_DEF_FORMAT.keys(): raise ValueError( 'Table definition file format {} not supported ({})'. format(format, ' '.join(TABLE_DEF_FORMAT.keys()))) headers = {'Content-Type': TABLE_DEF_FORMAT[format]} response = self._session.put(f'{self.baseurl}/tables/{name}', headers=headers, data=definition) response.raise_for_status() @prototype_feature('cadc-tb-upload') def remove_table(self, name): """ Remove a table from the catalog service (Equivalent to drop command in DB). Parameters ---------- name: str Name of the table in the TAP service """ if not name: raise ValueError( 'table name required in : {}'. format(name)) response = self._session.delete( f'{self.baseurl}/tables/{name}') response.raise_for_status() @prototype_feature('cadc-tb-upload') def load_table(self, name, source, *, format='tsv'): """ Loads content to a table Parameters ---------- name: str Name of the table source: stream with a read method Stream containing the data to be loaded format: str Format of the data source: tab-separated values(tsv), comma-separated values (csv) or FITS table (FITSTable) """ if not name or not source: raise ValueError( 'table name and source required in upload: {}/{}'. format(name, source)) if format not in TABLE_UPLOAD_FORMAT.keys(): raise ValueError( 'Table content file format {} not supported ({})'. format(format, ' '.join(TABLE_UPLOAD_FORMAT.keys()))) headers = {'Content-Type': TABLE_UPLOAD_FORMAT[format]} response = self._session.post( f'{self.baseurl}/load/{name}', headers=headers, data=source) response.raise_for_status() @prototype_feature('cadc-tb-upload') def create_index(self, table_name, column_name, *, unique=False): """ Creates a table index in the catalog service. Parameters ---------- table_name: str Name of the table column_name: str Name of the column in the table unique: bool True for unique index, False otherwise """ if not table_name or not column_name: raise ValueError( 'table and column names are required in index: {}/{}'. format(table_name, column_name)) result = self._session.post(f'{self.baseurl}/table-update', data={'table': table_name, 'index': column_name, 'unique': 'true' if unique else 'false'}, allow_redirects=False) if result.status_code == 303: job_url = result.headers['Location'] if not job_url: raise RuntimeError( 'table update job location missing in response') # run the job job = AsyncTAPJob(job_url, session=self._session) job = job.run().wait() job.raise_if_error() # TODO job.delete() else: raise RuntimeError( 'BUG: table update expected status 303 received {}'. format(result.status_code)) class AsyncTAPJob: """ This class represents a UWS TAP Job. """ _job = {} @classmethod def create( cls, baseurl, query, *, language="ADQL", maxrec=None, uploads=None, session=None, **keywords): """ creates a async tap job on the server under ``baseurl`` Parameters ---------- baseurl : str the TAP baseurl query : str the query string language : str specifies the query language, default ADQL. useful for services which allow to use the backend query language. maxrec : int the maximum records to return. defaults to the service default uploads : dict a mapping from table names to objects containing a votable session : object optional session to use for network requests """ tapquery = TAPQuery( baseurl, query, mode="async", language=language, maxrec=maxrec, uploads=uploads, session=session, **keywords) response = tapquery.submit() job = cls(response.url, session=session) job._client_set_maxrec = maxrec return job def __init__(self, url, *, session=None, delete=True): """ initialize the job object with the given url and fetch remote values Parameters ---------- url : str the job url session : object, optional session to use for network requests delete : bool, optional whether to delete the job when exiting (default: True) """ self._url = url self._session = use_session(session) self._delete_on_exit = delete self._client_set_maxrec = None self._update() def __enter__(self): """ Enters the context """ return self def __exit__(self, exc_type, exc_val, exc_tb): """ Exits the context. Unless delete=False was set at initialization, the job is deleted. Any deletion errors are silently ignored to ensure proper context exit. """ if self._delete_on_exit: try: self.delete() except DALServiceError: pass def _update(self, wait_for_statechange=False, timeout=10.): """ updates local job infos with remote values """ try: if wait_for_statechange: response = self._session.get( self.url, stream=True, timeout=timeout, params={ "WAIT": "-1" } ) else: response = self._session.get(self.url, stream=True, timeout=timeout) response.raise_for_status() except requests.RequestException as ex: raise DALServiceError.from_except(ex, self.url) # requests doesn't decode the content by default response.raw.read = partial(response.raw.read, decode_content=True) self._job = uws.parse_job(response.raw.read) @property def job(self): """ all up-to-date uws job infos as dictionary """ # keep it up to date self._update() return self._job @property def url(self): """ the job url """ return self._url @property def job_id(self): """ the job id """ return self._job.jobid @property def phase(self): """ the current query phase """ self._update() return self._job.phase @property def execution_duration(self): """ maximum execution duration as `~astropy.time.TimeDelta`. """ self._update() return self._job.executionduration @execution_duration.setter def execution_duration(self, value): try: response = self._session.post( f"{self.url}/executionduration", data={"EXECUTIONDURATION": str(value)}) response.raise_for_status() except requests.RequestException as ex: raise DALServiceError.from_except(ex, self.url) self._update() @property def destruction(self): """ datetime after which the job results are deleted automatically. read-write """ self._update() return self._job.destruction @destruction.setter def destruction(self, value): """ datetime after which the job results are deleted automatically. read-write Parameters ---------- value : datetime datetime after which the job results are deleted automatically """ if isinstance(value, str): value = _from_ivoa_format(value) try: response = self._session.post( f"{self.url}/destruction", data={"DESTRUCTION": value.strftime(IVOA_DATETIME_FORMAT)}) response.raise_for_status() except requests.RequestException as ex: raise DALServiceError.from_except(ex, self.url) self._update() @property def quote(self): """ estimated runtime """ self._update() return self._job.quote @property def owner(self): """ job owner (if applicable) """ self._update() return self._job.ownerid @property def query(self): """ the job query """ self._update() for parameter in self._job.parameters: if parameter.id_.lower() == 'query': return parameter.content return '' @query.setter def query(self, query): try: response = self._session.post( f'{self.url}/parameters', data={"QUERY": query}) response.raise_for_status() except requests.RequestException as ex: raise DALServiceError.from_except(ex, self.url) self._update() def upload(self, **kwargs): """ upload a table to the job. the job must not been started. """ uploads = UploadList.fromdict(kwargs) files = { upload.name: upload.fileobj() for upload in uploads if upload.is_inline } try: response = self._session.post( f'{self.url}/parameters', data={'UPLOAD': uploads.param()}, files=files ) response.raise_for_status() except requests.RequestException as ex: raise DALServiceError.from_except(ex, self.url) self._update() @property def results(self): """ The job results if exists """ return self._job.results @property def result(self): """ Returns the UWS result that corresponds to the standard TAP result endpoint: "results/result". If no such result is found it falls back to the old behavior of returning the first result with id 'result'. """ try: for r in self._job.results: if r.href and r.href.endswith("results/result"): return r for r in self._job.results: if r.href and r.href.strip() and r.id_ == 'result': return r return None except (IndexError, AttributeError): return None @property def result_uris(self): """ a list of the last result uri's """ return [result.href for result in self._job.results] @property def result_uri(self): """ the uri of the result """ try: result = self.result if result is None: return None uri = result.href if not urlparse(uri).netloc: uri = urljoin(self.url, uri) return uri except IndexError: return None @property def uws_version(self): """ the version of the UWS serving this async job Asynchronous TAP jobs are managed using a standard called Universal Worker Service (UWS). For instance, starting version 1.1, you can have long polls, which save on monitoring requests. Normal users generally will not have to look at this. """ self._update() return self._job.version def run(self): """ starts the job / change phase to RUN """ try: response = self._session.post( f'{self.url}/phase', data={"PHASE": "RUN"}) response.raise_for_status() except requests.RequestException as ex: raise DALServiceError.from_except(ex, self.url) return self def abort(self): """ aborts the job / change phase to ABORT """ try: response = self._session.post( f'{self.url}/phase', data={"PHASE": "ABORT"}) response.raise_for_status() except requests.RequestException as ex: raise DALServiceError.from_except(ex, self.url) return self def wait(self, *, phases=None, timeout=600.): """ waits for the job to reach the given phases. Parameters ---------- phases : list phases to wait for timeout : float maximum time to wait in seconds Raises ------ DALServiceError if the job is in a state that won't lead to an result """ if not phases: phases = {"COMPLETED", "ABORTED", "ERROR"} interval = 1.0 increment = 1.2 active_phases = { "QUEUED", "EXECUTING", "RUN", "COMPLETED", "ERROR", "UNKNOWN"} while True: self._update(wait_for_statechange=True, timeout=timeout) # use the cached value cur_phase = self._job.phase if cur_phase not in active_phases: raise DALServiceError( "Cannot wait for job completion. Job is not active!") if cur_phase in phases: break # fallback for uws 1.0 or unsupported WAIT parameter sleep(interval) interval = min(120, interval * increment) return self def delete(self): """ deletes the job. this object will become invalid. """ try: response = self._session.delete( self.url, allow_redirects=False) response.raise_for_status() except requests.RequestException as ex: raise DALServiceError.from_except(ex, self.url) self._url = None def raise_if_error(self): """ raise a exception if theres an error Raises ------ DALQueryError if theres an error """ if self.phase in {"ERROR", "ABORTED"}: msg = "" if self._job and self._job.errorsummary: msg = self._job.errorsummary.message.content msg = msg or "" raise DALQueryError("Query Error: " + msg, self.url) def fetch_result(self, max_retries=0): """ returns the result votable if query is finished Parameters ---------- max_retries : int, optional Maximum number of retry attempts for transient network errors. Default is 0 (no retries). """ result_uri = self.result_uri if result_uri is None: self._update() self.raise_if_error() raise DALServiceError(reason="No result URI available", url=self.url) response = None for attempt in range(max_retries + 1): try: response = self._session.get(self.result_uri, stream=True) response.raise_for_status() break except TRANSIENT_ERRORS as ex: if attempt < max_retries: delay = (2 ** attempt) + random.uniform(0.8, 1) time.sleep(delay) continue else: raise DALServiceError.from_except(ex, self.url) except requests.RequestException as ex: # Non-retryable error - update and check for query errors self._update() self.raise_if_error() raise DALServiceError.from_except(ex, self.url) response.raw.read = partial(response.raw.read, decode_content=True) result = TAPResults(votableparse(response.raw.read), url=self.result_uri, session=self._session) result.check_overflow_warning(self._client_set_maxrec) return result class TAPQuery(DALQuery): """ a class for preparing a query to a TAP service. Query constraints are added via service type-specific methods. The various execute() functions will submit the query and return the results. The base URL for the query, which controls where the query will be sent when one of the execute functions is called, is typically set at construction time; however, it can be updated later via the :py:attr:`~pyvo.dal.DALQuery.baseurl` to send a configured query to another service. In addition to the search constraint attributes described below, search parameters can be set generically by name via dict semantics. The typical function for submitting the query is ``execute()``; however, alternate execute functions provide the response in different forms, allowing the caller to take greater control of the result processing. """ def __init__( self, baseurl, query, *, mode="sync", language="ADQL", maxrec=None, uploads=None, session=None, **keywords): """ initialize the query object with the given parameters Parameters ---------- baseurl : str the TAP baseurl query : str the query string mode : str the query mode (sync | async). default "sync" language : str the query language. defaults to ADQL maxrec : int the amount of records to fetch uploads : dict Files to upload. Uses table name as key and table content as value. session : object optional session to use for network requests """ baseurl = baseurl.rstrip("?") super().__init__(baseurl, session=session, **keywords) self._mode = mode if mode in ("sync", "async") else "sync" self._uploads = UploadList.fromdict(uploads or {}) self["REQUEST"] = "doQuery" self["LANG"] = language self._client_set_maxrec = maxrec if maxrec: self["MAXREC"] = maxrec self["QUERY"] = query if self._uploads: self["UPLOAD"] = self._uploads.param() @property def queryurl(self): """ the URL to which to submit queries In TAP, that varies depending on whether we run sync or async queries. """ return f'{self.baseurl}/{self._mode}' def execute_stream(self, *, post=False): """ submit the query and return the raw VOTable XML as a file stream Raises ------ DALServiceError for errors connecting to or communicating with the service DALQueryError for errors in the input query syntax """ # theres nothing to execute in non-sync queries if self._mode != "sync": raise DALServiceError( "Cannot execute a non-synchronous query. Use submit instead") return super().execute_stream(post=post) def execute(self): """ submit the query and return the results as a TAPResults instance Raises ------ DALServiceError for errors connecting to or communicating with the service DALQueryError for errors either in the input query syntax or other user errors detected by the service DALFormatError for errors parsing the VOTable response """ result = TAPResults( self.execute_votable(), url=self.queryurl, session=self._session ) result.check_overflow_warning(self._client_set_maxrec) return result def submit(self, *, post=False): """ Does the request part of the TAP query. This function is separated from response parsing because async queries return no votable but behave like sync queries in terms of request. It returns the requests response. """ url = self.queryurl files = { upload.name: upload.fileobj() for upload in self._uploads if upload.is_inline } response = self._session.post( url, data=self, stream=True, files=files) # requests doesn't decode the content by default response.raw.read = partial(response.raw.read, decode_content=True) return response class TAPResults(DatalinkResultsMixin, DALResults): """ The list of matching images resulting from an image (SIA) query. Each record contains a set of metadata that describes an available image matching the query constraints. The number of records in the results is available by passing it to the Python built-in ``len()`` function. This class supports iterable semantics; thus, individual records (in the form of :py:class:`~pyvo.dal.Record` instances) are typically accessed by iterating over an ``TAPResults`` instance. Alternatively, records can be accessed randomly via :py:meth:`getrecord` or through a Python Database API (v2) Cursor (via :py:meth:`~pyvo.dal.DALResults.cursor`). Column-based data access is possible via the :py:meth:`~pyvo.dal.query.DALResults.getcolumn` method. ``TAPResults`` is essentially a wrapper around an Astropy :py:mod:`~astropy.io.votable` :py:class:`~astropy.io.votable.tree.TableElement` instance where the columns contain the various metadata describing the images. One can access that VOTable directly via the :py:attr:`pyvo.dal.DALResults.votable` attribute. Thus, when one retrieves a whole column via :py:meth:`~pyvo.dal.DALResults.getcolumn`, the result is a Numpy array. Alternatively, one can manipulate the results as an Astropy :py:class:`astropy.table.Table` via the following conversion: ``table = results.to_table`` ``SIAResults`` supports the array item operator ``[...]`` in a read-only context. When the argument is numerical, the result is an :py:class:`~pyvo.dal.Record` instance, representing the record at the position given by the numerical index. If the argument is a string, it is interpreted as the name of a column, and the data from the column matching that name is returned as a Numpy array. """ @property def infos(self): """ return the info element as dictionary """ return getattr(self, "_infos", {}) @property def query_status(self): """ return the query status """ return getattr(self, "_infos", {}).get("QUERY_STATUS", None) def getrecord(self, index): """ return a representation of a tap result record that follows dictionary semantics. The keys of the dictionary are those returned by this instance's fieldnames attribute. The returned record has additional image-specific properties Parameters ---------- index : int the integer index of the desired record where 0 returns the first record Returns ------- REc a dictionary-like wrapper containing the result record metadata. Raises ------ IndexError if index is negative or equal or larger than the number of rows in the result table. See Also -------- Record """ return TAPRecord(self, index, session=self._session) def _handle_overflow_warning(self, client_set_maxrec=None): """ TAP-specific overflow warning handling. For TAP results we suppress the default overflow warning during initialization because TAPQuery.execute() will call check_overflow_warning() """ pass class TAPRecord(SodaRecordMixin, DatalinkRecordMixin, Record): pass astropy-pyvo-b70558c/pyvo/dal/tests/000077500000000000000000000000001510533647000174505ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/dal/tests/__init__.py000066400000000000000000000001001510533647000215500ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst astropy-pyvo-b70558c/pyvo/dal/tests/conftest.py000066400000000000000000000012661510533647000216540ustar00rootroot00000000000000from contextlib import contextmanager import pytest import requests_mock class ContextAdapter(requests_mock.Adapter): """ requests_mock adapter where ``register_uri`` returns a context manager """ @contextmanager def register_uri(self, *args, **kwargs): matcher = super().register_uri(*args, **kwargs) yield matcher self.remove_matcher(matcher) def remove_matcher(self, matcher): if matcher in self._matchers: self._matchers.remove(matcher) @pytest.fixture(scope='function') def mocker(): with requests_mock.Mocker( adapter=ContextAdapter(case_sensitive=True) ) as mocker_ins: yield mocker_ins astropy-pyvo-b70558c/pyvo/dal/tests/data/000077500000000000000000000000001510533647000203615ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/dal/tests/data/datalink/000077500000000000000000000000001510533647000221505ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/dal/tests/data/datalink/cutout1.xml000066400000000000000000000260741510533647000243070ustar00rootroot00000000000000
the caller is allowed to use this link with the current authenticated identity
ivo://cadc.nrc.ca/MACHO?54150/cal054150r https://www.cadc-ccda.hia-iha.nrc-cnrc.gc.ca/data/pub/MACHO/cal054150r.fits.fz?RUNID=e3h6rssb161oyf7j #this download ad:MACHO/cal054150r.fits.fz application/fits 18616320 true
ivo://cadc.nrc.ca/MACHO?54150/cal054150r soda-146cec58-9031-4568-9aeb-380eabb50942 #cutout SODA-sync cutout of ad:MACHO/cal054150r.fits.fz application/fits true
ivo://cadc.nrc.ca/MACHO?54150/cal054150r soda-142c15fb-f9ff-4ad0-b35f-7efb07d9bfea #cutout SODA-async cutout of ad:MACHO/cal054150r.fits.fz application/fits true
ivo://cadc.nrc.ca/MACHO?54151/cal054151b https://www.cadc-ccda.hia-iha.nrc-cnrc.gc.ca/data/pub/MACHO/cal054151b.fits.fz?RUNID=e3h6rssb161oyf7j #this download ad:MACHO/cal054151b.fits.fz application/fits 21692160 true
ivo://cadc.nrc.ca/MACHO?54151/cal054151b soda-2d68bb35-50e4-459b-bfb2-ac2b5da1a5d1 #cutout SODA-sync cutout of ad:MACHO/cal054151b.fits.fz application/fits true
ivo://cadc.nrc.ca/MACHO?54151/cal054151b soda-fadba418-47ec-4a3d-b8ab-8368f3081082 #cutout SODA-async cutout of ad:MACHO/cal054151b.fits.fz application/fits true
astropy-pyvo-b70558c/pyvo/dal/tests/data/datalink/cutout2.xml000066400000000000000000000142311510533647000243000ustar00rootroot00000000000000 the caller is allowed to use this link with the current authenticated identity
ivo://cadc.nrc.ca/MACHO?54151/cal054151r https://www.cadc-ccda.hia-iha.nrc-cnrc.gc.ca/data/pub/MACHO/cal054151r.fits.fz?RUNID=of051krube49ud2e #this download ad:MACHO/cal054151r.fits.fz application/fits 18987840 true
ivo://cadc.nrc.ca/MACHO?54151/cal054151r soda-40d74211-597b-4aa9-a153-f5ac67b77021 #cutout SODA-sync cutout of ad:MACHO/cal054151r.fits.fz application/fits true
ivo://cadc.nrc.ca/MACHO?54151/cal054151r soda-8e48c445-8f76-4c01-abcf-bdb1c2f7caf5 #cutout SODA-async cutout of ad:MACHO/cal054151r.fits.fz application/fits true
astropy-pyvo-b70558c/pyvo/dal/tests/data/datalink/datalink-obscore.xml000066400000000000000000000315771510533647000261300ustar00rootroot00000000000000 calibration level (0,1,2,3) publisher dataset identifier short name for the data colection telescope name instrument name internal dataset identifier type of product timestamp of date the data becomes publicly available RA of central coordinates DEC of central coordinates size of the region covered (~diameter of minimum bounding circle) region bounded by observation typical spatial resolution dimensions (number of pixels) along one spatial axis name of intended target dimensions (number of pixels) along the other spatial axis start time of observation (MJD) end time of observation (MJD) exposure time of observation typical temporal resolution dimensions (number of pixels) along the time axis start spectral coordinate value stop spectral coordinate value typical spectral resolution dimensions (number of pixels) along the energy axis dimensions (number of pixels) along the polarization axis UCD describing the spectral axis polarization states present in the data URL to download the data estimated size of the download UCD describing the observable axis (pixel values) format of the data file(s) primary key timestamp of last modification of the metadata
2 ivo://cadc.nrc.ca/MACHO?54150/cal054150r MACHO Mt. Stromlo Observatory 50 inch MACHO 54150 image 2008-10-08T00:00:00.000 88.81762854444203 -67.77109486072844 1.0245546113974644 polygon 89.70783791485876 -67.41840881752057 89.74786512306278 -68.14322955012662 88.22311503462467 -68.14813181576002 87.81208257298478 -67.77896886699358 87.82899304985233 -67.4197778334441 4.353822892 4181 macho000071 4200 50527.522581 50527.526053 300.0 300.0 7 5.800000000000001E-7 7.8E-7 5.799999999999999 7 https://www.cadc-ccda.hia-iha.nrc-cnrc.gc.ca/caom2ops/datalink?runid=b7vdfnrcr8kq35a1&ID=ivo%3A%2F%2Fcadc.nrc.ca%2FMACHO%3F54150%2Fcal054150r phot.count application/x-votable+xml;content=datalink 00000000-0000-0000-93cf-fed05e0e60f6 2019-11-20T19:29:40.929
2 ivo://cadc.nrc.ca/MACHO?54151/cal054151b MACHO Mt. Stromlo Observatory 50 inch MACHO 54151 image 2008-10-08T00:00:00.000 79.9564431173079 -70.32295142824165 1.0420934836421956 polygon 81.03835269676311 -69.95434045997953 81.07118698080274 -70.68523150491481 78.84035765138141 -70.68806135194416 78.88155357298983 -69.9513684574919 5.020573004 4175 macho000006 4168 50527.527002 50527.530475 300.0 300.0 8 4.800000000000001E-7 5.800000000000001E-7 5.799999999999999 8 https://www.cadc-ccda.hia-iha.nrc-cnrc.gc.ca/caom2ops/datalink?runid=b7vdfnrcr8kq35a1&ID=ivo%3A%2F%2Fcadc.nrc.ca%2FMACHO%3F54151%2Fcal054151b phot.count application/x-votable+xml;content=datalink 00000000-0000-0000-b8fb-fed05e2e4e02 2019-11-20T19:29:40.960
2 ivo://cadc.nrc.ca/MACHO?54151/cal054151r MACHO Mt. Stromlo Observatory 50 inch MACHO 54151 image 2008-10-08T00:00:00.000 80.01859124602015 -70.30750032450052 1.0248990302163568 polygon 81.01558843560966 -69.95461093880266 81.06567094624911 -70.67927922356017 79.34988020864029 -70.684376201833 78.89013903241694 -70.31495449099631 78.91029632344201 -69.95565099163903 5.020573004 4181 macho000006 4169 50527.527002 50527.530475 300.0 300.0 7 5.800000000000001E-7 7.8E-7 5.799999999999999 7 https://www.cadc-ccda.hia-iha.nrc-cnrc.gc.ca/caom2ops/datalink?runid=b7vdfnrcr8kq35a1&ID=ivo%3A%2F%2Fcadc.nrc.ca%2FMACHO%3F54151%2Fcal054151r phot.count application/x-votable+xml;content=datalink 00000000-0000-0000-b83a-fed05e27f58e 2019-11-20T19:29:40.960
astropy-pyvo-b70558c/pyvo/dal/tests/data/datalink/datalink-ssa.xml000066400000000000000000000513431510533647000252530ustar00rootroot00000000000000 Spectra from the Flash and Heros Echelle spectrographs developed at Landessternwarte Heidelberg and mounted at La Silla and various other observatories. The data mostly contains spectra of OB stars. Heros was the name of the instrument after Flash got a second channel in 1995. This resource contains data associated with the publication 1996A&A...312..539S. For advice on how to cite the resource(s) that contributed to this result, see http://dc.zah.uni-heidelberg.de/tableinfo/flashheros.data SSAP A measure of how closely the record matches your query. Higher numbers mean better matches. Observed position RA and Dec as a 2-real array as required by SSAP. Target RA and Dec as a 2-real array as required by SSAP. URL of a preview for the dataset, where available. Access key for the data MIME type of the file served Size of the data in bytes Title or the dataset (usually, spectrum) Dataset identifier assigned by the creator Dataset identifier assigned by the publisher Processing/Creation date Date last published. Bandpass (i.e., rough spectral location) of this dataset; use something generic like 'Optical' here. Creator assigned version for this dataset (will be incremented when this particular item is changed). Common name of object observed. Object class (star, QSO,...; use Simbad object classification http://simbad.u-strasbg.fr/simbad/sim-display?data=otypes if at all possible) Redshift of target object Equatorial (ICRS) position of the target object. Signal-to-noise ratio estimated for this dataset ICRS location of aperture center Angular diameter of aperture Midpoint of exposure Exposure duration Midpoint of region covered in this dataset Width of the spectrum Lower value of spectral coordinate Upper value of spectral coordinate Number of points in the spectrum Local observation key (used to connect to single orders). Type of flux calibration Data model name and version System RA and Dec are given in Time conversion factor in Osuna-Salgado convention. Spectral conversion factor in Osuna-Salgado convention UCD of the spectral column Unit of the spectral column Flux/magnitude conversion factor in Osuna-Salgado convention UCD of the flux column Unit of the flux column Type of data (spectrum, time series, etc) Publisher of the datasets included here. Creator of the datasets included here. IOVA id of the originating data collection Instrument or code used to produce these datasets Method of generation for the data. Process used to produce the data URL or bibcode of a publication describing this data. Statistical error in flux Systematic error in flux Type of flux calibration Bin size in wavelength Statistical error in wavelength Systematic error in wavelength Type of wavelength calibration Resolution on the spectral axis Statistical error in position Type of calibration in spatial coordinates Spatial resolution of data
0.0 304.446675349555 38.0329313131891 304.446675349555 38.0329313131891 NaN NaN http://dc.zah.uni-heidelberg.de/getproduct/flashheros/data/ca90/f0011.mt?preview=True http://dc.zah.uni-heidelberg.de/getproduct/flashheros/data/ca90/f0011.mt image/fits 100800 Flash/Heros p Cyg 1990-10-11 09:28:07.500003 ivo://org.gavo.dc/~?flashheros/data/ca90/f0011.mt 1993-05-18T00:00:00 2017-02-22T13:19:40.966036 p Cyg star NaN NaN NaN NaN 304.446675349555 38.0329313131891 17.6 48175.39453125 NaN 5.40127e-07 2.78147e-07 4.01053e-07 6.792e-07 23181 ca90/f0011.mt NORMALIZED
The pubisher DID of the dataset of interest Recalibrate the spectrum. Right now, the only recalibration supported is max(flux)=1 ('RELATIVE'). Spectral cutout interval MIME type of the output format astropy-pyvo-b70558c/pyvo/dal/tests/data/datalink/datalink.desise000066400000000000000000000125111510533647000251350ustar00rootroot00000000000000{ "uri": "http://www.ivoa.net/rdf/datalink/core", "flavour": "RDF Property", "terms": { "this": { "label": "the data itself", "description": "the primary (as opposed to related) data of the identified resource", "wider": [], "narrower": [] }, "progenitor": { "label": "Progenitor", "description": "data resources that were used to create this dataset (e.g. input raw data)", "wider": [], "narrower": [] }, "derivation": { "label": "Derivation", "description": "data resources that are derived from this dataset (e.g. output data products)", "wider": [], "narrower": [] }, "auxiliary": { "label": "Auxiliary", "description": "auxiliary resources", "wider": [], "narrower": [ "weight", "error", "noise" ] }, "weight": { "label": "Weight map", "description": "resource with array(s) containing weighting values", "wider": [ "auxiliary" ], "narrower": [] }, "error": { "label": "Error map", "description": "resource with array(s) containing error values", "wider": [ "auxiliary" ], "narrower": [] }, "noise": { "label": "Noise map", "description": "resource with array(s) containing noise values", "wider": [ "auxiliary" ], "narrower": [] }, "calibration": { "label": "Applicable Calibration", "description": " Data products that can be used to remove instrumental signatures from #this. Note that the calibration steps such data products feed have not been applied to #this yet.", "wider": [], "narrower": [ "bias", "dark", "flat" ] }, "bias": { "label": "Bias Frame", "description": "Data products that can be used to remove detector offset levels from #this.", "wider": [ "calibration" ], "narrower": [] }, "dark": { "label": "Dark Frame", "description": "Data products that can be used to remove detector dark current from #this.", "wider": [ "calibration" ], "narrower": [] }, "flat": { "label": "Flat Field", "description": "Data products that can be used to remove the signature of non-homogeneous detector sensitivity from #this.", "wider": [ "calibration" ], "narrower": [] }, "preview": { "label": "Preview", "description": "low fidelity but easily viewed representation of the data ", "wider": [], "narrower": [ "preview-image", "preview-plot", "thumbnail" ] }, "preview-image": { "label": "Image preview", "description": "preview of the data as a 2-dimensional image", "wider": [ "preview" ], "narrower": [] }, "preview-plot": { "label": "Plot preview", "description": "preview of the data as a plot (e.g. spectrum or light-curve)", "wider": [ "preview" ], "narrower": [] }, "thumbnail": { "label": "Small Graphical Representation", "description": "A very small preview suitable for displaying many at one time.", "wider": [ "preview" ], "narrower": [] }, "proc": { "label": "Processing", "description": "server-side data processing result", "wider": [], "narrower": [ "cutout" ] }, "cutout": { "label": "Cutout", "description": "a subsection of the primary data", "wider": [ "proc" ], "narrower": [] }, "documentation": { "label": "Documentation", "description": "Structured or unstructured metadata helping to understand, interpret, or work with #this. Such information can range from processing logs to weather reports to technical documents on instruments to related publications.", "wider": [], "narrower": [ "detached-header" ] }, "detached-header": { "label": "Detached Header", "description": "Machine-readable metadata for #this, which in general will be necessary for its scientific use. Examples include FITS headers distributed without their data blocks or PDS label files.", "wider": [ "documentation" ], "narrower": [] }, "coderived": { "label": "Coderived Data", "description": "Data products sharing one or more progenitors with #this. This could be a lightcurve for an object catalog derived from repeated observations, the dataset processed using a different pipeline, or the like.", "wider": [], "narrower": [] }, "counterpart": { "label": "Counterpart", "description": "Data products sharing the target of the experiment or observation that led to #this but of unrelated provenance. This could be observations of the same object in different wavelengths or along different axes (time, spectrum), but spectra of dust of common origin but different laboratories would be #counterparts as well.", "wider": [], "narrower": [] }, "package": { "label": "Single Download Package", "description": "All file-like items related to #this and #this itself packaged together in a single downloadable archive.", "wider": [], "narrower": [] } } } astropy-pyvo-b70558c/pyvo/dal/tests/data/datalink/datalink.xml000066400000000000000000000133651510533647000244710ustar00rootroot00000000000000 Data links for data sets. Publisher data set id; this is an identifier for the dataset in question and can be used to retrieve the data. URL to retrieve the data or access the service. Identifier for the type of service if accessURL refers to a service. If accessURL is empty, this column gives the reason why. More information on this link What kind of data is linked here? Standard identifiers here include science, calibration, preview, info, auxiliary MIME type for the data returned. Size of the resource at access_url
ivo://org.gavo.dc/~?flashheros/data/ca90/f0011.mt http://dc.zah.uni-heidelberg.de/flashheros/q/echdl/dlmeta?ID=ivo%3A%2F%2Forg.gavo.dc%2F%7E%3Fflashheros%2Fdata_raw%2Fca90%2Fn0011.mt Split Echelle Orders #progenitor application/x-votable+xml;content=datalink -1
ivo://org.gavo.dc/~?flashheros/data/ca90/f0011.mt ndndtdihpgea #proc -1
ivo://org.gavo.dc/~?flashheros/data/ca90/f0011.mt http://dc.zah.uni-heidelberg.de/getproduct/flashheros/data/ca90/f0011.mt The full dataset. #this image/fits 100800
ivo://org.gavo.dc/~?flashheros/data/ca90/f0011.mt http://dc.zah.uni-heidelberg.de/getproduct/flashheros/data/ca90/f0011.mt?preview=True A preview for the dataset. #preview image/png -1
The pubisher DID of the dataset of interest Recalibrate the spectrum. Right now, the only recalibration supported is max(flux)=1 ('RELATIVE'). Spectral cutout interval MIME type of the output format astropy-pyvo-b70558c/pyvo/dal/tests/data/datalink/proc.xml000066400000000000000000000176041510533647000236450ustar00rootroot00000000000000 Data links for data sets. Publisher data set id; this is an identifier for the dataset in question and can be used to retrieve the data. URL to retrieve the data or access the service. Identifier for the type of service if accessURL refers to a service. If accessURL is empty, this column gives the reason why. More information on this link What kind of data is linked here? Standard identifiers here include science, calibration, preview, info, auxiliary Media type for the data returned. Size of the resource at access_url
ivo://org.gavo.dc/~?bgds/data/gds_big/v6a/2010/GDS_0644-0035/i_s/eq010000ms/20100927.comb_avg.0001.fits.fz procsvc An interactive service on this dataset. #proc -1
ivo://org.gavo.dc/~?bgds/data/gds_big/v6a/2010/GDS_0644-0035/i_s/eq010000ms/20100927.comb_avg.0001.fits.fz http://dc.zah.uni-heidelberg.de/getproduct/bgds/data/gds_big/v6a/2010/GDS_0644-0035/i_s/eq010000ms/20100927.comb_avg.0001.fits.fz The full dataset. #this image/fits 68708160
ivo://org.gavo.dc/~?bgds/data/gds_big/v6a/2010/GDS_0644-0035/i_s/eq010000ms/20100927.comb_avg.0001.fits.fz http://dc.zah.uni-heidelberg.de/getproduct/bgds/data/gds_big/v6a/2010/GDS_0644-0035/i_s/eq010000ms/20100927.comb_avg.0001.fits.fz?preview=True A preview for the dataset. #preview-image image/jpeg -1
ivo://org.gavo.dc/s/data/gds_big/v6a/2010/GDS_0644-0035/i_s/eq010000ms/20100927.comb_avg.0001.fits.fz http://dc.zah.uni-heidelberg.de/wider.dat An artificial thing. #preview image/jpeg -1
ivo://org.gavo.dc/s/data/gds_big/v6a/2010/GDS_0644-0035/i_s/eq010000ms/20100927.comb_avg.0001.fits.fz http://example.edu/when-will-it-be-back Something requiring custom semantics. urn:example:rdf/dlext#oracle text/x-prediction -1
An interactive service on this dataset. The pubisher DID of the dataset of interest The latitude coordinate The longitude coordinate Factor to scale the image down before transporting (this does not currently take into account cutout parameters). Region to (approximately) cut out, as Circle, Region, or Polygon A polygon (as a flattened array of ra, dec pairs) that should be covered by the cutout. A circle (as a flattened array of ra, dec, radius) that should be covered by the cutout. Pixel coordinate along axis 1 Pixel coordinate along axis 2 Set to HEADER to retrieve just the primary header, leave empty for data. astropy-pyvo-b70558c/pyvo/dal/tests/data/datalink/proc_inf.xml000066400000000000000000000161561510533647000245020ustar00rootroot00000000000000 Data links for data sets. Publisher data set id; this is an identifier for the dataset in question and can be used to retrieve the data. URL to retrieve the data or access the service. Identifier for the type of service if accessURL refers to a service. If accessURL is empty, this column gives the reason why. More information on this link What kind of data is linked here? Standard identifiers here include science, calibration, preview, info, auxiliary Media type for the data returned. Size of the resource at access_url
ivo://org.gavo.dc/~?bgds/data/gds_big/v6a/2010/GDS_0644-0035/i_s/eq010000ms/20100927.comb_avg.0001.fits.fz procsvc An interactive service on this dataset. #proc -1
ivo://org.gavo.dc/~?bgds/data/gds_big/v6a/2010/GDS_0644-0035/i_s/eq010000ms/20100927.comb_avg.0001.fits.fz http://dc.zah.uni-heidelberg.de/getproduct/bgds/data/gds_big/v6a/2010/GDS_0644-0035/i_s/eq010000ms/20100927.comb_avg.0001.fits.fz The full dataset. #this image/fits 68708160
ivo://org.gavo.dc/~?bgds/data/gds_big/v6a/2010/GDS_0644-0035/i_s/eq010000ms/20100927.comb_avg.0001.fits.fz http://dc.zah.uni-heidelberg.de/getproduct/bgds/data/gds_big/v6a/2010/GDS_0644-0035/i_s/eq010000ms/20100927.comb_avg.0001.fits.fz?preview=True A preview for the dataset. #preview image/jpeg -1
An interactive service on this dataset. The pubisher DID of the dataset of interest The latitude coordinate The longitude coordinate Factor to scale the image down before transporting (this does not currently take into account cutout parameters). Region to (approximately) cut out, as Circle, Region, or Polygon A polygon (as a flattened array of ra, dec pairs) that should be covered by the cutout. A circle (as a flattened array of ra, dec, radius) that should be covered by the cutout. Pixel coordinate along axis 1 Pixel coordinate along axis 2 Set to HEADER to retrieve just the primary header, leave empty for data. astropy-pyvo-b70558c/pyvo/dal/tests/data/datalink/proc_units.xml000066400000000000000000000161601510533647000250630ustar00rootroot00000000000000 Data links for data sets. Publisher data set id; this is an identifier for the dataset in question and can be used to retrieve the data. URL to retrieve the data or access the service. Identifier for the type of service if accessURL refers to a service. If accessURL is empty, this column gives the reason why. More information on this link What kind of data is linked here? Standard identifiers here include science, calibration, preview, info, auxiliary Media type for the data returned. Size of the resource at access_url
ivo://org.gavo.dc/~?bgds/data/gds_big/v6a/2010/GDS_0644-0035/i_s/eq010000ms/20100927.comb_avg.0001.fits.fz procsvc An interactive service on this dataset. #proc -1
ivo://org.gavo.dc/~?bgds/data/gds_big/v6a/2010/GDS_0644-0035/i_s/eq010000ms/20100927.comb_avg.0001.fits.fz http://dc.zah.uni-heidelberg.de/getproduct/bgds/data/gds_big/v6a/2010/GDS_0644-0035/i_s/eq010000ms/20100927.comb_avg.0001.fits.fz The full dataset. #this image/fits 68708160
ivo://org.gavo.dc/~?bgds/data/gds_big/v6a/2010/GDS_0644-0035/i_s/eq010000ms/20100927.comb_avg.0001.fits.fz http://dc.zah.uni-heidelberg.de/getproduct/bgds/data/gds_big/v6a/2010/GDS_0644-0035/i_s/eq010000ms/20100927.comb_avg.0001.fits.fz?preview=True A preview for the dataset. #preview image/jpeg -1
An interactive service on this dataset. The pubisher DID of the dataset of interest The latitude coordinate The longitude coordinate Factor to scale the image down before transporting (this does not currently take into account cutout parameters). Region to (approximately) cut out, as Circle, Region, or Polygon A polygon (as a flattened array of ra, dec pairs) that should be covered by the cutout. A circle (as a flattened array of ra, dec, radius) that should be covered by the cutout. Pixel coordinate along axis 1 Pixel coordinate along axis 2 Set to HEADER to retrieve just the primary header, leave empty for data. astropy-pyvo-b70558c/pyvo/dal/tests/data/mimetype/000077500000000000000000000000001510533647000222125ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/dal/tests/data/mimetype/ivoa_logo.jpg000066400000000000000000000304551510533647000247010ustar00rootroot00000000000000JFIFHHExifMM*JR(iZHHC     C  " }!1AQa"q2#BR$3br %&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz w!1AQaq"2B #3Rbr $4%&'()*56789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz ?((((3Ɵ_wxHTյ{y_QoCHH<}xTW~SI {m?㯊hiڗ+O,i|[\Փ8e .-=~s,}n-+$S|=v= RԮ̛9Z="aI6'U|TϮ[ÿ|/~K+" 5/hd7gC4[vr3I=KkXfUyg,@KZ.y6n~FCW6ܘ>ҺxQEiF/;fVNA5_ rGvk}]v1^xGσAMQ崘1X_8 ;ɵǽp(WGź瀾#$[ N";!3,+o׶_GKO4z$6^".3,[ 2vg\1(;QAkk}~/N}yEs<]|MY0ȟJb]ѱ1QL((((+"|)-C_6By7)9 hjj6^sjwuU(ufv =IKZMτ4\LR/Ex8-j{cXȯ> _ռ@큮ۏ'lgHcxu3SݢDF*v>vǃ5mg㇍V=qtx^=w |_ g'1j2Oxz6ٌhE'_9Y@:hᾓeW`;VMy.τrE% YV&ZiڿIX|X?ڿT6ҝiZ4-l=P5_W%oqqx"cimH}"iO!>i+j&LMeG1\g%{nEiBÆb?(裖9%mH%yըLMՍT 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`z{+׿d|5s~9G˿oI5$\*pWK/<_Z-/NYK巷Z'Gb?_-U'_'qJ^z<a>mu]sᖫ;]]Xipt+l<0/%4$uRΧsM$A'6riF ߭+WSs0 uix?\6Nmfpm"D獑I<2_j_5U,`L`wy~`_8oxƙ t-5Kv01I$ Gi$} :ωP|C-ҭU5{+id?vuy"i3_?e;eݎp^ 3%'RE^J,x 2DyIQnT>b224VxV[-Hyֶ>k;wBd*XpЃxşgkV7M*,[C2`\rvH ʕ5kE_(ҿVKhPnRt絑!e۫0lD_x1fm>g<*2y!G.:O NOot ZEMd6|,8/i2c܀>goJxc⇁uk8>'ep}F}זwC㯅W,Sm3!h`Ă=sQjKG|I̞sL|5t b1X#"G)qki¯w j+j@7;QA0os*gSsJ؟o΍? mP\=Zk 'xdޏMd_@~trI&\݌\|a?^ܑ/T~~?sںO;&#@ lJ08_-y_Z֨>igXQG9Uxb+?'FQ zlM]6uW?1jzܤ |MBqt Z,¥0_+R!͆;6ً\2O~k> f,/ xV y> c]0@Gۢ|/ҟ 4Dͨކ B+~~>x?i>%)mά\\1#=(EQEQEQEQEQEQEQEQEQEQEQEQEQEQEQEQEQEastropy-pyvo-b70558c/pyvo/dal/tests/data/mimetype/test.fits000066400000000000000000000757001510533647000240710ustar00rootroot00000000000000SIMPLE = T / Standard FITS format BITPIX = 8 / NAXIS = 0 / no data in main file EXTEND = T / Extensions may exist FILENAME= 'swp06542llg' / original name of input file TELESCOP= 'IUE ' / International Ultraviolet Explorer ORIGIN = 'GODDARD ' / Tape writing location CAMERA = 3 / IUE camera number IMAGE = 6542 / IUE image sequence number APERTURE= '' / Aperture DISPERSN= 'LOW ' / IUE spectrograph dispersion DATE-OBS= 'nn/nn/nn' / Observation date (dd/mm/yy) DATE-PRO= 'nn/nn/nn' / Processing date (dd/mm/yy) DATE = '18-Feb-1993' / Date file was written (dd/mm/yy) RA = 0.000000 / Right Ascension in degrees DEC = 0.000000 / Declination in degrees EQUINOX = 1950.0 / Epoch for coordinates (years) THDA-RES= 0.000000 / THDA at time of read THDA-SPE= 0.000000 / THDA at end of exposure COMMENT * COMMENT * THE IUE VICAR HEADER COMMENT * COMMENT IUE-VICAR HEADER START 0001000100071204 1 2 013106542 1 C 1445* 4*IUESOC * * * 3600* * * * * * * * * * 2 C SWP6542, NGC 7027, 60 MIN, LG APER, LO DISP 3 C 4 C 5 C PROGRAM:NPBRB OBSERVER:BOHLIN DATE:1979.2609.260 17SEP 6 C 7 C 8 C 9 C 79260123556* 9 * 218 *OPSDEV14*112438 RDXSPREP 2 IMAGE 5614 * 10 C 091608 SCAN READLO SS 1 G3 58 *112511 SCAN READLO SS 1 G3 58 * 11 C 091623 X 56 Y 72 G1 99 HT 106 *112525 X 56 Y 72 G1 99 HT 106 * 12 C 093518 TLM,FES2ROM *114939 TLM,FES2ROM * 13 C 101100 FIN 3 T 3599 S 97 U 109 *120916 FESTRK TRACKING * 14 C 101150 MODE LWL *121950 FIN 3 T 3599 S 97 U 109 * 15 C 101239 TARGET FROM SWLA *122052 TARGET FROM SWLA * 16 C 101436 TARGET IN LWLA *122532 TARGET IN LWLA * 17 C 101542 EXPOBC 2 59 59 MAXG NOL *122642 EXPOBC 2 59 59 MAXG NOL * 18 C 101755 FESTRK TRACKING *122948 FESTRK TRACKING * 19 C 101919 TLM,SWPROM *123115 TLM,SWPROM * 20 C 101957 READPREP 3 IMAGE 6541 *123556 RDXSPREP 3 IMAGE 6542 * 21 C 102029 SCAN READLO SS 1 G3 44 *123631 SCAN READLO SS 1 G3 44 * 22 C 102045 X 60 Y 76 G1 82 HT 105 *123648 X 60 Y 76 G1 82 HT 105 * 23 C 104652 TLM,FES2ROM *123621 * 24 C 111319 MODE SWL *123646 * 25 C 111545 FIN 2 T 3599 S 98 U 109 *090650 ACQ STARTED * 26 C 111646 TARGET FROM LWLA *090952 TARGET IN SWLA * 27 C 111841 TARGET IN SWLA *091005 FES 761 IN 20 0 0 * 28 C 111953 EXPOBC 3 59 59 MAXG NOL *091059 EXPOBC 3 59 59 MAXG NOL * 29 C 112211 FESTRK TRACKING *091257 FESTRK TRACKING * 30 C 112328 TLM,LWRROM *091415 TLM,LWRROM .200000E 02 * 31 C 112412 MODE LWH *091534 READPREP 2 IMAGE 5613 * 32 C 33 C 34 C 35 C NPBRB*1*02*BOHLIN * 7* *N*00007027*0*0*1* 70 36 C 21 5 94+42 2 3*999* 0*0*99.0*99.00* 0.0 * 0* 120.00* 0* 37 C ' i cf@fh= %cc 38 C 39 C ?4 3 t ] D " 4 3c3D3 4 40 C 41 C 42 C 8 r 4 M , i ) K n c D H 43 C 44 C 45 C 46 C 47 C 48 C 49 C 50 C 0 0 0 0 0 020 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 51 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 04040 51 C 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 52 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 020 0 04040 52 C 0 0 020 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 53 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 04040 53 C 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 080 0 0 0 0 0 0 0 0 0 54 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 04040 54 C 2 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 55 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 04040 55 C 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 020 0 0 0 0 0 0 0 0 0 0 0 56 0 0 0 0 020 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 04040 56 C 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 020 0 0 0 0 0a0 0 0 0 8 0 0 0 57 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 04040 57 C 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 58 0 0 020 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 04040 58 C 20 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 080 0 2 0 0 0 0 080 0 59 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 080 0 0 0 0 0 0 0 0 0 0 0 04040 59 C 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 020 0 0 0 0 0 0 0 0 0 60 0 0 0 0 0 0 0 080 0 820 0 030 0 0 0 0 0 0 0 0 8 0 0 0 08030 04040 60 C 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 8 0 0 0 0 61 0 0 0 0 0 020 0 0 0 0 0 0 020 0 0 0 0 0 0 0 0 020 080 0 0 0 04040 61 C 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 2 0 0 8 030 0 0 0 0 62 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 8 0 0 04040 62 C 222 0 0 2 0 0 0 2 280 0 0 0 0 0 0 8 0 0 0 0 2 0 0 0 0 0 0 0 0 020 63 0 0 0 0 028 0 0 0 0 0 0 0 0 0 0 0 020 0 0 080 020 0 0 0 0 0204040 63 C 0 0 0 0 0 028 8 0 0 0 0 0 0 0 0 0 0 0 0 0 8 2 020a0 0 0 0 0 0 2 0 64 2 0 0 0 0 0 0 0 0 8 0a8 0 0 0 0 0 0 020 0 0 02020 0 0 0 0 0 04040 64 C 0 0 0 c 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 028 0 8 0 0 2 0 0282020 0 65 0 2 0 8 0 020 0 0 0 0 0 0 0 0 0 2 0c0 03020 020 080 0 0 0 2 04040 65 C 80 0 2 0 0 0 0 0 08020 0 a 0 0 0 2 0 0 080 0 020 8 0 0 0 0 0 0 0 0 66 0 080 0 0 0 080 0 0 0 c 0 0 080 0 0 8 0 0 8 0 8 0 0 8 0 020 04040 66 C 80 0 8 0 018 0 020 0 0 0 0 0 0 0 0 080 0 8 0 020 0 8 0 0 0a0 2 0 8 67 0 0 0 080 0 0 0 8 0 2 0 030 0 0 0 0 0 0 0 020 020 8 8 0 8 0 04040 67 C 0 0 0 8 02080 8 0 0 0 0 0 0 0 0bffff0 0 0 0 0 2 0 2 0 0 0 0 0 0 2 68 0 0 0 0 3 0 0 0 082 2 c 0 0 02080 0 0 0 0 0 0 0 2 0 8a2 0 0 04040 68 C 0 c80 8 0 0 080 2 0 0 022 8 880 0 0 0 0 0 0 0 0 8 0 0 2 0 0 0 0 0 69 0 0 0 280 0 8 0 0 0c8 08020 0 0 0 0 0 0 0 0 088 0 0 0 0 8 0 04040 69 C 0 080 2 0 0 0 0 08280 8 0 2 8 0 0 2 2 3 020 020 0 0 0 0a0 2 a 0 0 70 a 0 0 0 2 8 08080 020a0 0 2202ffff0 0 0 0 0 0 0 0 0 0 0 080 04040 70 C 08222 c 0 2 0 0 0 0 282 0 080 020 0 0 0 a 280 0 0 2 0 080 0 820a2 71 22 020 020 0 8 020 8 020 0 0 2 0 8 0 080 2 280 08022 2 0 0 0 24040 71 C 2220 8 0 8 0 0 0 0 0 2 02080 8 2 0 0 0 2 0 020 082 0 0 0 0 02020 0 72 02088 0 0 082 82020 0 280 8 8 8 8 820 0 a8020 020 8 0 2 2 0 24040 72 C 0 2 0 8 0a2 0 088 0 0 0 2 2808020 0 220 0 2 0 0 0 8 0 a 0b0 0 0 b 73 280 0 0 0 0 0 0 0 2 0 020 080 0 0a080 8 0a0 0 8 0 2 0 fc0 0824040 73 C 0 880 02088 0 2 0 0 0 2 0 0aa82 0 280 0 0 880 08022 0 0 a 288 0 8 74 88 c 08a28 0 0 a 080 0 820 0 2808220 8a0 0 0 0208220 0 0 0 0 34040 74 C 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 75 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 04040 75 C c1af6fbcc 0 0 09d707b 0c6 e 03dc8 c32474e366a29253f47413320314d64 76 29 03d8af6 51a1c9090 05e7d8233122e2a19282e1d32 f18117da5abab 0 0 0 76 C ac30 0ff 0 439abbba0 0445aa4 4371f2a31342b1d1d2c2f151914161d502d37 77 70727e207b197a227b14259a1e92209420951e96 1 0 1b8e1 0 0e02ce0fa3540 77 C 7b 07b 072 07b7b7b7b7b 039 0 07f4c4541ae547c979951ceae9580808645 0 78 03a3234363a302f2f3335332b35bdad 6c1f6568282 0 1 08282404040404040 78 C 0 0 6c2f2568381 0 1 080803b3535343b35313036373633338977877945776b 79 796a7b2f7f7e7f7a7a34777d7f7e8e487f40404040404040404040404040404040 79 C 993837611019 e89 0cc 040404040404040404040404040404040404040404040 80 404040404040404040404040404040404040404040404040404040404040404040 80 C dfbffbe 0 0 0 07f374399 2 2fe66fb30 0 0 0 0 0 0d0 0 0 0 0 0 0 080 81 0 0 0 0 0 0 0 0 0 0 088 0 0 0 c 0 0 0 c 0 0 0 0 0 0 0ff 0 0 04040 81 C 4f1960 0 0 0 0 0ff 0 0 0ff 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 82 0 0 0ff 0 0 0ff 0 0 0 0 0 0 0ff 0 0 0ff 0 0 0 0 0 0 0 0 0 0 04040 82 C 83 C 84 C 85 C b2b 0 0 017 0 0 0 689a1e02ce0e1 0 021 0 016809e32 0 0dcc1f5a15e3b 86 b1dad9565668c969c92fc9 0 061415142 0 0404040 2 3 c d e404040404040 86 C c12 0 0 0 5 0 0 0 38a9ae02ce0e1 0 026 0 016809e32baab 6c1f2568381 87 0 1 07f807e7f7a7a3477 0 061414140 0 0404040 3 635 b c404040404040 87 C c1a 0 0 0 5 0 0 0 38999e02ce0e1 0 02b 0 016809e32bdad 6c1f6568282 88 0 1 082826b776a7b2f7e 0 061404141 0 0404040 2 432 b c404040404040 88 C c25 0 0 0 0 0 0 0 0899de02ce0e0 0 034 0 016809e32 0 0d8c5f2a0ab42 89 acdac579927eca7aca34c9 0 0714a4141 0 0404040 3 7 6 d e404040404040 89 C c30 0 0 0 a 0 0 01e89a1e02cdfe1 0 01b 0 012809e32 0 0d8c1f29f493f 90 addad581637cc97aca34c9 0 071424141 0 0404040 3 312 d e404040404040 90 C a f 0 0 016 0 0 01e8a96e02ce0e1 0 035 0 012809e4abdad 6c1f5568282 91 0 1 082826c796b7b307f 0 061404141 0 0404040 2 42f b c404040404040 91 C a14 0 0 0 0 0 0 019899ee02ce0e1 0 042 0 016809e4a 0 0d8c4f2a0ab3e 92 acdac679927fca7bc935c9 0 0714a4141 0 0404040 3 73b d e404040404040 92 C a1a 0 0 014 0 0 0238a9ce02cdfe1 0 042 0 016909e4abaab 6c1f2538381 93 0 1 080807ec97aca35c9 0 061514141 0 0404040 3 1 8 d e404040404040 93 C a20 0 0 0 a 0 0 0 5899be02cdfe1 0 034 0 016909e4abc6d 6c1f2528381 94 0 1 080807bc97bca35c9 0 061514141 0 0404040 3 122 d e404040404040 94 C a21 0ffffe2 0 0 02389a1e02ce0e0 0 042 0 012809e4a 0 0d8c1f2a0ce39 95 acdad481637bca7bca35c9 0 071424141 0 0404040 3 321 d e404040404040 95 C b e 0 0 028 0fffffb8a9ae02ce0e1 0 034 0 016809e52bdad 6c1f6568282 96 0 1 082826c796a7b307f 0 061404141 0 0404040 2 631 b c404040404040 96 C b14 0 0 01e 0 0 0 f8a98e02ce0e1 0 02d 0 010809e52baab 6c1f2568481 97 0 1 080807e7f7b7a3479 0 061414140 0 0404040 3 4 0 b c404040404040 97 C b19 0 0 02b 0 0 01089a0e02ce0e1 0 024 0 012809e32 0 0dcc4f6a1473f 98 b0daca768e6cc96ac930ca 0 06141514a 0 0404040 2 729 d e404040404040 98 C b24 0 0 0 d 0 0 019899ee02cdfe0 0 032 0 012809e32 0 0dcc1f5a15b3e 99 b1dad9565669c96aca30ca 0 061415142 0 0404040 2 327 d e404040404040 99 C b2a 0ffffef 0 0 023899be02cdfe1 0 02e 0 012909e32bf6f 6c1f6538282100 0 1 0828268c969ca2fca 0 061414151 0 0404040 2 1 7 d e404040404040100 CCOMMENT IUE-VICAR HEADER ENDED HISTORY IUE-LOG STARTED HISTORY *GEOMF 11:20Z SEP 21,'79 HCHISTORY ********* GEOM. & PHOTOM. CORRECTED IMAGE ********** CHISTORY PCF C/** DATA REC. 11 1 1 1 768 8448 5 3 6.1 5.0 2536 .00000 1PCHISTORY 0 1684 3374 6873 9091 10586 1PCHISTORY 14371 17745 21524 25105 28500 1PCHISTORY 11.000 11.000 11.000 11.000 11.000 11.000 1PCHISTORY 11.000 11.000 11.000 11.000 11.000 1PCHISTORY TUBE 3 SEC EHT 6.1 ITT EHT 5.0 WAVELENGTH 2536 DIFFUSER 0 1PCHISTORY C MODE : FACTOR .178E 00 1PCHISTORY *FICOR5 11:20Z SEP 21,'79 HCHISTORY ******** DATA FROM LARGE APERTURE ******** CHISTORY *EXTLOW 11:20Z SEP 21,'79 HCHISTORY @EXTLOW: OMEGA= 90.0, HBACK= 5, DISTANCE= 11.0 CHISTORY :HT=15, DC#= 1; ISN: 0 PSN 1 SIGS= .444 SIGL= .421CHISTORY B 1= -.283235346667D 03 B 2= .376096600120D 00 B 3= .000000000000D 00CHISTORY A 1= .964207510446D 03 A 2= -.466539532721D 00 A 3= .000000000000D 00CHISTORY LINE SHIFT = .000 SAMPLE SHIFT = .000 CHISTORY *SMOOTH 11:20Z SEP 21,'79 HCHISTORY *ARCHIVE 11:20Z SEP 21,'79 HCHISTORY *ITOE 11:20Z SEP 21,'79 HCHISTORY ***** FILE OF MERGED EXTRACTED SPECTRA ***** CHISTORY *** GROSS, BACKGROUND, NET & ABSOL. CALIB. NET *** CHISTORY *ETOEM 11:20Z SEP 21,'79 HCHISTORY *ARCHIVE 11:20Z SEP 21,'79 HLHISTORY IUE-LOG FINISHED END XTENSION= 'BINTABLE' / Extension type BITPIX = 8 / binary data NAXIS = 2 / Number of Axes NAXIS1 = 7532 / width of table in bytes NAXIS2 = 1 / Number of entries in table PCOUNT = 0 / Number of parameters/group GCOUNT = 1 / Number of groups TFIELDS = 9 / Number of fields in each row EXTNAME = 'IUE MELO' / name of table (?) COMMENT IUE MELO file data containing G, B, N, A, & E vectors COMMENT Each row contains order number, npts, W0, deltaW, & vectors above TFORM1 = '1I ' / Count and data type of field 1 TTYPE1 = 'ORDER ' / spectral order (low dispersion = 1) TUNIT1 = ' ' / unitless TFORM2 = '1I ' / field 2 has one 2-byte integer TTYPE2 = 'NPTS ' / number of non-zero points in each vector TUNIT2 = ' ' / unitless TFORM3 = '1E ' / Count and data type of field 3 TTYPE3 = 'LAMBDA ' / 3rd field is starting wavelength TUNIT3 = 'ANGSTROM' / unit is angstrom TFORM4 = '1E ' / Count and Type of 4th field TTYPE4 = 'DELTAW ' / 4th field is wavelength increment TUNIT4 = 'ANGSTROM' / unit is angstrom TFORM5 = '376E ' / Count and Type of 5th field TTYPE5 = 'GROSS ' / 5th field is gross flux array TUNIT5 = 'FN ' / unit is IUE FN TFORM6 = '376E ' / Count and Type of 6th field TTYPE6 = 'BACK ' / 6th field is background flux array TUNIT6 = 'FN ' / unit is IUE FN TFORM7 = '376E ' / Count and Type of 7th field TTYPE7 = 'NET ' / 7th field is net flux array TUNIT7 = 'ERGS ' / unit is IUE FN TFORM8 = '376E ' / Count and Type of 8th field TTYPE8 = 'ABNET ' / absolutely calibrated net flux array TUNIT8 = 'ERGS ' / unit is ergs/cm2/sec/angstrom TFORM9 = '376E ' / Count and Type of 9th field TTYPE9 = 'EPSILONS' / 9th field is epsilons TUNIT9 = ' ' / unitless END xDz33@)FFDFϜFXFlZFyFFleFtFF F|FFDFF«F?FFFFFBnFArFFBpFjFFIFF\FhFF}F`F|FFF^FFjF}FDFFyFvAFnF F1FFFFFpFcFFFFaF)\F]FmF(F_rF}fFFFɽFXFF]F$FFFFEF^G"GGHZ\HiH'HH-H W\GBWFEFˇFFFF|FFF5TFWF@FYFFF>F})FF"F/FciFC$FFEF"F#FSF;FwFFFeFFFFOFGFFvF?FFS FAFF"FFaFDF%tFHFFX5FF;FsFXFFDWF]F{F_tFPFF&FFPF%FF F'sF4FNKFFF)FZFFF@FhFBFF4FF-FFF@FzFFFFלFF9F&pFҜFFwF2F_F6%FFIF,F͇F{8FQFFFFFWFb(FFF_FfFBFFAG'GH.#HEJHZGG FhFHFKF=F^FvFFFF,|FFFژFF8uFF[DFFcFFמF@F F>/FKF%bF|FF2G-XGGGKFBFgFFTFFںFכNF?F8FJFFFr4FFoFF%FF`F+'FF`'FxFrF;HF_vFFFfF/FiFFFoFFF/FF+jFmFF>F22F)FYFZFF;F"FxaFEF F_FIFbFeF6FaFWFFFFͳFx|FFVFiFtBFF/FF@FFEzFFF߼FFF#F3FXFH9FnFaFFFFgFFFF3FFEFFYFF\FF#FFTFFFFFFF˝F-FF]FyFFu&F(F+FFFSFk FfFZF_FhFqyFFF!F`FFEFTF݆FRF;F FPFЕF6FF|KF)F>NFFFuFFF$FFYFFFFfFFFqFHFUFjhFFFmFwFF9BFF%FEFMFFFF0FbFnF,-FѵFFuF`FFFF#FUFuJFZFHFyFFoF FFF#FF}FFFF&FjFF{FkFrFSFlFF}FF8"Fq@FFcSFUFF0LF߼sFk;FFFuF F^FFFF\/FFF5FmFWeFPFrFzFg_F*F~FFΒF|\FFFXFWF:FIFFoKFmFZFc{FQPFx@FFFF@FiFFF}FsFFFFFSFXFFvYF(=FgFF=F#F FVCFkF4FFUFrFFG$FaFedFFFwFaGFnFdF9F|>F7FFyFJF=FFFF3FF 0F:FFFFTFFYFuF$~F:FFXFF#F?FFRFFeFF FFFFFJF$FTFE"F]FlFFAFFF,FwFFECńz~DzBDg_&EC9DD5E]Aɴ,:<D#ىC)̉BWC0C0DE,yD> ŎŏJDκES'ð<ENEn)E>Dy%5BE RD;ď&E45E"!ľDl:`Ľ*D5Î؍ԩzQmgpj1CE 2ECkDnÕX5DȯC<6Bt?COpuJoYjDDńC{DVE NPkxD E^E)FGHDH7H@HtHxɡGFרEn7DיšܤDҦ)Ey%E NE?DES2DByDҵCCU DS3ĒĬPC30E&CGD 8CD$C$xCC'DD|CYkjdECCY.ą"D DDE R£Ƞ?ĈOC ŎŏJDκES'ð<ENEn)E>Dy%5BE RD;ď&E45E"!ľDl:`Ľ*D5Î؍ԩzQmgpj1CE 2ECkDnÕX5DȯC<6Bt?COpuJoYjDDńC{DVE NPkxD E^E)FGHDH7H@HtHxɡGFרEn7DיšܤDҦ)Ey%E NE?DES2DByDҵCCU DS3ĒĬPC30E&CGD 8CD$C$xCC'DD|CYkjdECCY.ą"D DDE R£Ƞ?ĈOC This is a “light” version of the full Gaia DR2 gaia_source table, containing the original astrometric and photmetric columns with just enough additional information to let careful researchers notice when data is becomes uncertain and the full error model should be consulted. The full DR2 is available from numerous places in the VO (in particular from the TAP services ivo://uni-heidelberg.de/gaia/tap and ivo://esavo/gaia/tap.vo-dmlhttp://www.ivoa.net/dm/VO-DML.vo-dml.xmlstc2http://www.ivoa.net/dm/STC.vo-dml.xmlndcubeurn:dachsjunk:not-model:ndcubedshttp://www.ivoa.net/dm/DatasetMetadata-1.0.vo-dml.xmlivoahttp://www.ivoa.net/dm/ivoa.vo-dml.xmlivo://org.gavo.dcGAVO Data Center1TIMESERIES0BARYCENTERTCBJ2015.5ICRSObservation time (JD in barycentric TCB).Integrated flux in G; Use -2.5 log10(flux)+zero point to convert to magnitudes, where zero point is 25.6884 for DR2 fluxes in G in the Vega system.Magnitude in G, Vega system. Converted from flux using the formula given there. If flux_error/flux<0.1, you can use 1.09*flux_error/flux as a good estimate for the error; else the distribution is so skewed that you should work with fluxes rather than magnitude.Error in G flux.Gaia DR2 source_id of the objectPublisher-assigned title of the data setGaia DR2 RA of source objectGaia DR2 Dec of source object
2456920.5128546842921290000.02.0244633198665625106712000.0
2456920.5868590062659600000.02.12635918930161776519500.0
2456934.71934151562149850000.02.357379601891061323700500.0
2456934.89549362941934760000.02.471832249920307621371500.0
2456961.89449747331734390000.02.590533097882719547525800.0
2457003.4517497892104220000.02.38067213968078322162500.0
2457003.62791153141916840000.02.48193534119698727515800.0
2457031.44824773961690810000.02.61816298069168623871700.0
2457159.5289318261786750000.02.558240523066988533130900.0
2457176.6052401572000550000.02.43552647443061717323600.0
2457176.78139499341995940000.02.438031295473038531137300.0
2457176.7813949941865150000.02.511615588522033735917300.0
2457217.48488136571567590000.02.700318789111836519312300.0
2457217.5588855411545590000.02.715664252034944317547200.0
2457243.22822660380051200.05.9299803836130423535790.0
2457243.2282266511594470000.02.681859119019044618471700.0
2457276.9587075891714040000.02.603347618259917324701500.0
2457277.0327569814386006000.04.2219148617232065148650000.0
2457314.51514880643684.4916.772456544623715137729.0
2457314.69113340551330620000.02.878264882849528332975800.0
2457340.69249006731747150000.02.582574518630597324057400.0
2457340.7665252461694830000.02.6155846430100111095400.0
2457381.17602146931449470000.02.78537692226139927228900.0
2457438.90777355531788970000.02.55689235560183215526400.0
2457494.62331029451770970000.02.56787198909823326964400.0
 astropy-pyvo-b70558c/pyvo/dal/tests/data/query/000077500000000000000000000000001510533647000215265ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/dal/tests/data/query/basic.xml000066400000000000000000000016051510533647000233330ustar00rootroot00000000000000 OK
23 Illuminatus
42 Don't panic, and always carry a towel
1337 Elite
astropy-pyvo-b70558c/pyvo/dal/tests/data/query/dataset.xml000066400000000000000000000021701510533647000236750ustar00rootroot00000000000000 OK
image/fits http://example.com/querydata/image.fits
application/x-votable+xml http://example.com/querydata/votable.xml
application/x-votable+xml;content=datalink http://example.com/querydata/votable-datalink.xml
astropy-pyvo-b70558c/pyvo/dal/tests/data/query/errorstatus.xml000066400000000000000000000016131510533647000246460ustar00rootroot00000000000000 ERROR
23 Illuminatus
42 Don't panic, and always carry a towel
1337 Elite
astropy-pyvo-b70558c/pyvo/dal/tests/data/query/firstresource.xml000066400000000000000000000016051510533647000251510ustar00rootroot00000000000000 OK
23 Illuminatus
42 Don't panic, and always carry a towel
1337 Elite
astropy-pyvo-b70558c/pyvo/dal/tests/data/query/missingcolumns.xml000066400000000000000000000011421510533647000253200ustar00rootroot00000000000000 OK
astropy-pyvo-b70558c/pyvo/dal/tests/data/query/missingresource.xml000066400000000000000000000005431510533647000254730ustar00rootroot00000000000000 astropy-pyvo-b70558c/pyvo/dal/tests/data/query/missingtable.xml000066400000000000000000000007301510533647000247310ustar00rootroot00000000000000 OK astropy-pyvo-b70558c/pyvo/dal/tests/data/query/overflowstatus.xml000066400000000000000000000016761510533647000253710ustar00rootroot00000000000000
23 Illuminatus
42 Don't panic, and always carry a towel
1337 Elite
astropy-pyvo-b70558c/pyvo/dal/tests/data/query/rootinfo.xml000066400000000000000000000016041510533647000241100ustar00rootroot00000000000000 OK
23 Illuminatus
42 Don't panic, and always carry a towel
1337 Elite
astropy-pyvo-b70558c/pyvo/dal/tests/data/query/tableinfo.xml000066400000000000000000000016061510533647000242160ustar00rootroot00000000000000 OK
23 Illuminatus
42 Don't panic, and always carry a towel
1337 Elite
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We provide a table of all photons observed during ROSAT's all-sky survey (RASS) as well as images of both survey and pointed observations. For ROSAT data products, see http://www.xray.mpe.mpg.de/cgi-bin/rosat/rosat-survey {'SR0': 0.5, 'DEC0': 2.0, 'RA0': 78.0} Written by DaCHS 1.0.1 SCSRenderer This resource contains data associated with the publication 2000IAUC.7432R...1V. For advice on how to cite the resource(s) that contributed to this result, see http://dc.zah.uni-heidelberg.de/tableinfo/rosat.photons A table of x-ray photons detected by ROSAT Right Ascension, equinox 2000.0 Declination, equinox 2000.0 Time the photon was detected, in Julian years. Energy of incoming photon (corrected) [keV] Total positional error, 1{sigma} arcsec Galactic longitude Galactic latitude ROSAT cluster survey exposure time Photon identifier (a combination of observation date and detector coordinates) QFNqHk92X9k/+u/xlQMx5ECfGqGQMCqSPhmZmkCgAABDRz99wat0vEPAY9cAAAATMTUyMjEyNDY1 MDI0MjE4MjA0MUBTZLkjopx4P/vko4MnZ01AnxqeYdwLVj7XCj1AoAAAQ0closGrzJhDvkeuAAAA EzE2MDY2ODk2MzU5NTExMjA5ODVAU2X6Q/5ckj/7qXOW0JF9QJ8angIk0VA/qj1xQKAAAENHK8fB q7i7Q8UGZgAAABMxMTExODAxMjk5MTU4MjM4MzQ4QFNm5jH4oJA/+3bTMJQcgkCfGp6RxX00Pqj1 w0CgAABDRzCkwausCEPAxR8AAAATMTg1NDQxMzE1NzYxNjc4MzkzNUBTaM5wOvt/P/t9F4LThHdA nxqhwAiO3T5XCj1AoAAAQ0c0e8GrdcNDwFR7AAAAEzE3Njk1MDM3NDk4ODA1NTA0ODVAU2ckdFOO 8z/7tNahYeT3QJ8aoKCeEfA+D1wpQKAAAENHLZHBq5W1Q7+LhQAAABIyODM0NDkwMjk4MDI1OTI4 NDhAU2hE0BOpKj/7wDmr8zhxQJ8aoZBAlMU+YUeuQKAAAENHL1zBq3OCQ7/cKQAAABMxNTIyNDU2 MTc0NDY2NDk5ODgyQFNoPkJa7mM/+9yxRl6JIkCfGp5hyL3kPmuFH0CgAABDRy3TwattKUO/czMA 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astropy-pyvo-b70558c/pyvo/dal/tests/data/sia/000077500000000000000000000000001510533647000211355ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/dal/tests/data/sia/dataset.xml000066400000000000000000000071121510533647000233050ustar00rootroot00000000000000 OK Not the access key for the data Access key for the data MIME type of the file served Size of the data in bytes Epoch at midpoint of observation Object being observed, Simbad-resolvable form Approximate center of image, RA Approximate center of image, Dec Synthetic name of the image Lower limit of the bandpass (in BandPass_Unit units) Upper limit of the bandpass (in BandPass_Unit units) The pixel scale on each image axis
This should not be the dataurl http://example.com/querydata/image.fits image/fits 153280 18885.9416782409 Test 288.95078924817 15.0322239971381 Test Observation 3.8e-07 5.2e-07 0.000403806 0.000406123
This should not be the dataurl http://example.com/querydata/image.fits image/fits 153280 Test 288.95078924817 15.0322239971381 Test Observation 3.8e-07 5.2e-07 0.000403806 0.000406123
astropy-pyvo-b70558c/pyvo/dal/tests/data/sia2/000077500000000000000000000000001510533647000212175ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/dal/tests/data/sia2/capabilities-basicauth.xml000066400000000000000000000020121510533647000263260ustar00rootroot00000000000000 https://example.com/sia/capabilities https://example.com/sia/availability https://example.com/sia/auth-v2query astropy-pyvo-b70558c/pyvo/dal/tests/data/sia2/capabilities-newformat.xml000066400000000000000000000022571510533647000264000ustar00rootroot00000000000000 https://example.com/sia/capabilities https://example.com/sia/availability https://example.com/sia/v2query astropy-pyvo-b70558c/pyvo/dal/tests/data/sia2/capabilities-priv.xml000066400000000000000000000027241510533647000253550ustar00rootroot00000000000000 https://example.com/sia/capabilities https://example.com/sia/availability https://example.com/sia/auth-v2query https://example.com/sia/v2query https://example.com/sia/v2query astropy-pyvo-b70558c/pyvo/dal/tests/data/sia2/capabilities.xml000066400000000000000000000031611510533647000243730ustar00rootroot00000000000000 https://example.com/sia/capabilities https://example.com/sia/availability https://example.com/sia/v2query https://example.com/sia/auth-v2query https://example.com/sia/v2query https://example.com/sia/v2query astropy-pyvo-b70558c/pyvo/dal/tests/data/sia2/dataset.xml000066400000000000000000000236761510533647000234040ustar00rootroot00000000000000 calibration level (0,1,2,3) publisher dataset identifier short name for the data colection telescope name instrument name internal dataset identifier type of product timestamp of date the data becomes publicly available RA of central coordinates DEC of central coordinates size of the region covered (~diameter of minimum bounding circle) region bounded by observation typical spatial resolution dimensions (number of pixels) along one spatial axis name of intended target dimensions (number of pixels) along the other spatial axis start time of observation (MJD) end time of observation (MJD) exposure time of observation typical temporal resolution dimensions (number of pixels) along the time axis start spectral coordinate value stop spectral coordinate value typical spectral resolution dimensions (number of pixels) along the energy axis dimensions (number of pixels) along the polarization axis UCD describing the spectral axis polarization states present in the data URL to download the data estimated size of the download UCD describing the observable axis (pixel values) format of the data file(s) primary key timestamp of last modification of the metadata
1 ivo://cadc.nrc.ca/TEST?C190508_1442_SCI/C190508_1442_SCI TEST TEST-1.6m TEST-INSTR TEST-DATASET image 2000-01-01T00:00:00.000 253.0637009871805 69.94853437563255 0.7176383627131244 polygon 252.33774699999995 70.20847500000002 253.83481099999992 70.19265699999998 253.77173199999996 69.68570399999999 252.31050299999995 69.70114700000002 2048 BYW1651+6953 2048 58612.30703703704 58612.30726851852 20.295 0.1 1 1.1699999999999998E-6 1.33E-6 1 https://example.com/datalink?runid=i4oh43a0oky3dyvp&ID=ivo%3A%2F%2Fexample.com%2FTEST%3FC190508_1442_SCI%2FC190508_1442_SCI phot.count application/x-votable+xml;content=datalink f0a8f0ad-be05-4adf-ab3d-8b13c45b79b1 2019-09-19T22:17:07.594
astropy-pyvo-b70558c/pyvo/dal/tests/data/sla/000077500000000000000000000000001510533647000211405ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/dal/tests/data/sla/dataset.xml000066400000000000000000000261431510533647000233150ustar00rootroot00000000000000 Splatalogue SLAP Service small description identifying the line the name of the line catalog this entry was drawn from the wavelength in the vacuum of the transition originating the line The molecular formula which may include notation of the common quantum state of the transition The molecular formula which may include notation of the common quantum state of the transition Actual chemical name of the species The type of molecular given as an integer identifier sijmu2. Einstein coefficient Lower state energy Upper state energy Lower state energy in Kelvin Upper state energy in Kelvin an integer flag indicating whether this record provides the recommended frequency for this line. The initial and final quantum number states that produces this line Known interstellar species a description of the spectral line
JPL: CH2OHCOCH2OH v29=1 65(10,55)-65( 9,56)JPL0.0026007993198247656115269.3542CH2OHCOCH2OH v29=1Dihydroxyacetone0131.249668558294-4.74809778436645442.7856446.63057178378637.066044526917642.59806942928565(10,55)-65( 9,56)0
JPL: NH2CO2CH3 v=1 9( 4, 6)- 8( 3, 6) EJPL0.00260079801795189115269.4119NH2CO2CH3 v=1Methyl Carbamate017.1236909189353-4.83754596637333130.4111134.256073708445187.631403639604193.16343131112 9( 4, 6)- 8( 3, 6) E0
JPL: NH2CO2CH3 v=1 9( 4, 6)- 8( 3, 6) EJPL0.002600797618590801115269.4296NH2CO2CH3 v=1Methyl Carbamate013.6709044372638-4.84357552571736130.4111134.256074298853187.631403639604193.163432160581 9( 4, 6)- 8( 3, 6) E0
JPL: (CH3)2CO v=0 54(33,21)-54(32,22) EEJPL0.0026007950374124845115269.544(CH3)2CO v=0Acetone15230.27724514961-3.02603304293211835.60529839.4502681148261202.242703660791207.77473767207154(33,21)-54(32,22) EE1
JPL: cis-CH2OHCHO v=1 14( 2,13)-14( 1,14)JPL0.0026007933722844356115269.6178cis-CH2OHCHO v=1Glycolaldehyde021.9273878887541-4.87033282331431231.969235.813980576529333.749727368876339.28176492197714( 2,13)-14( 1,14)0
JPL: C3H8 N/AJPL0.0026007911904735396115269.7145C3H8Propane00.635151099856094-6.7094715707246130.94892134.793903802094188.405202200504193.937244394447N/A0
JPL: C3H8 N/AJPL0.0026007911882172737115269.7146C3H8Propane00.423328037153043-6.97957609404102130.94891134.79389380543188.405187812818193.93723001156N/A0
JPL: NH2CO2CH3 v=1 23(20, 3)-24(19, 5) EJPL0.002600789356130706115269.7958NH2CO2CH3 v=1Methyl Carbamate05.01323226119246-5.72089974485859279.3062283.15118651397401.85700719681407.38905329251523(20, 3)-24(19, 5) E0
JPL: C3H8 N/AJPL0.0026007859830224104115269.9453C3H8Propane01.69346180808879-6.4646252884359130.94896134.793951500753188.405259751251193.937313021783N/A0
JPL: NH2CO2CH3 v=1 23(20, 3)-24(19, 5) EJPL0.0026007822579477637115270.1104NH2CO2CH3 v=1Methyl Carbamate05.2265567985742-5.72089656247709279.3063283.151297007897401.857151073676407.38921226771423(20, 3)-24(19, 5) E0
JPL: NH2CO2CH3 v=1 23(20, 3)-24(19, 5) EJPL0.002600781919510257115270.1254NH2CO2CH3 v=1Methyl Carbamate04.80745869862592-5.72021293919008279.3063283.151297508243401.857151073676407.38921298759623(20, 3)-24(19, 5) E0
JPL: C3H8 N/AJPL0.002600780777848383115270.176C3H8Propane01.05845801182539-6.20136303548129130.94894134.793939196077188.405230975878193.937295318201N/A0
JPL: C2H5OOCH-trans 21( 9,12)-20( 9,11)JPL0.0026007731630344477115270.5135C2H5OOCH-transEthyl formate058.6767590539827-4.6139139381576178.957782.8027104538654113.601864252006119.13394479168221( 9,12)-20( 9,11)0
JPL: C2H5OOCH-trans 21( 9,13)-20( 9,12)JPL0.0026007731630344477115270.5135C2H5OOCH-transEthyl formate058.6767590539827-4.6139139381576178.957782.8027104538654113.601864252006119.13394479168221( 9,13)-20( 9,12)0
JPL: NH2CH2CH2OH v26=1 18( 4,14)-17( 5,13)JPL0.002600759664053141115271.1118NH2CH2CH2OH v26=1Aminoethanol02.00560091486674-6.01486204317833267.4658271.310830411005384.821410750999390.35352000438218( 4,14)-17( 5,13)0
CDMS: CO v=0 1-0CDMS0.0026007576334647012115271.2018CO v=0Carbon Monoxide10.0121216495404374-7.1424633520481903.8450334130820605.53211357267721-01
JPL: CO v=0 1-0JPL0.0026007576334647012115271.2018CO v=0Carbon Monoxide10.0121216495404374-7.1424633520481903.8450334130820605.53211357267721-01
Lovas/NIST: CO v=0 1-0Lovas/NIST0.002600757628952286115271.202CO v=0Carbon Monoxide11-01
SLAIM: CO v=0 1- 0SLAIM0.002600757628952286115271.202CO v=0Carbon Monoxide10.0121242121-7.142360865160203.8450334197533405.532113582275631 1- 01
CDMS: FeCO N=14-13, J=13-12CDMS0.0026007539084712634115271.3669FeCOIron Monocarbonyl0131.500969428903-4.061336764522968.408872.253838920225398.4244375310149103.956559027197N=14-13, J=13-120
CDMS: CH3CHNH2COOH - I 29(11,18)-29( 8,21)CDMS0.002600753536198126115271.3834CH3CHNH2COOH - I&alpha;-Alanine02.70687445003096-6.2029243806737686.4611190.306149470606124.397535405638129.92965769369129(11,18)-29( 8,21)0
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 astropy-pyvo-b70558c/pyvo/dal/tests/data/tap/000077500000000000000000000000001510533647000211455ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/dal/tests/data/tap/capabilities.xml000066400000000000000000000273251510533647000243310ustar00rootroot00000000000000 http://dc.zah.uni-heidelberg.de/__system__/tap/run/availability http://dc.zah.uni-heidelberg.de/__system__/tap/run/capabilities http://dc.zah.uni-heidelberg.de/__system__/tap/run/tableMetadata http://dc.zah.uni-heidelberg.de/tap Registry 1.1 Registry 1.0 Obscore-1.1 GloTS 1.0 ADQL 2.0 ADQL 2.0
gavo_simbadpoint(identifier TEXT) -> POINT
gavo_simbadpoint queries simbad for an identifier and returns the corresponding point. Note that identifier can only be a literal, i.e., as simple string rather than a column name. This is because our database cannot query simbad, and we probably wouldn't want to fire off millions of simbad queries anyway; use simbad's own TAP service for this kind of applications.
gavo_match(pattern TEXT, string TEXT) -> INTEGER
gavo_match returns 1 if the POSIX regular expression pattern matches anything in string, 0 otherwise.
ivo_healpix_center(hpxOrder INTEGER, hpxIndex BIGINT) -> POINT
returns a POINT corresponding to the center of the healpix with the given index at the given order.
ivo_string_agg(expression TEXT, delimiter TEXT) -> TEXT
An aggregate function returning all values of expression within a GROUP contcatenated with delimiter
gavo_to_jd(d TIMESTAMP) -> DOUBLE PRECISION
The function converts a postgres timestamp to julian date. This is naive; no corrections for timezones, let alone time scales or the like are done; you can thus not expect this to be good to second-precision unless you are careful in the construction of the timestamp.
ivo_interval_overlapsivo_interval_overlaps(l1 NUMERIC, h1 NUMERIC, l2 NUMERIC, h2 NUMERIC) -> INTEGER
The function returns 1 if the interval [l1...h1] overlaps with the interval [l2...h2]. For the purposes of this function, the case l1=h2 or l2=h1 is treated as overlap. The function returns 0 for non-overlapping intervals.
ivo_healpix_index(order INTEGER, ra DOUBLE PRECISION, dec DOUBLE PRECISION) -> BIGINT
Returns the index of the (nest) healpix with order containing the spherical point (ra, dec). An alternative, 2-argument form ivo_healpix_index(order INTEGER, p POINT) -> BIGINT is also available.
ivo_hashlist_has(hashlist TEXT, item TEXT) -> INTEGER
The function takes two strings; the first is a list of words not containing the hash sign (#), concatenated by hash signs, the second is a word not containing the hash sign. It returns 1 if, compared case-insensitively, the second argument is in the list of words coded in the first argument. The behaviour in case the the second argument contains a hash sign is unspecified.
gavo_to_mjd(d TIMESTAMP) -> DOUBLE PRECISION
The function converts a postgres timestamp to modified julian date. This is naive; no corrections for timezones, let alone time scales or the like are done; you can thus not expect this to be good to second-precision unless you are careful in the construction of the timestamp.
ivo_nocasematch(value TEXT, pattern TEXT) -> INTEGER
ivo_nocasematch returns 1 if pattern matches value, 0 otherwise. pattern is defined as for the SQL LIKE operator, but the match is performed case-insensitively. This function in effect provides a surrogate for the ILIKE SQL operator that is missing from ADQL. On this site, this is actually implemented using python's and SQL's LOWER, so for everything except ASCII, your milage will vary.
ivo_hasword(haystack TEXT, needle TEXT) -> INTEGER
gavo_hasword returns 1 if needle shows up in haystack, 0 otherwise. This is for "google-like"-searches in text-like fields. In word, you can actually employ a fairly complex query language; see http://www.postgresql.org/docs/8.3/static/textsearch.html for details.
ivo_apply_pm(ra DOUBLE PRECISION, dec DOUBLE PRECISION, pmra DOUBLE PRECISION, pmde DOUBLE PRECISON, epdist DOUBLE PRECISION) -> POINT
Returns a POINT (in the UNDEFINED reference frame) for the position an object at ra/dec with proper motion pmra/pmde has after epdist years. positions must be in degrees, PMs in should be in julian years (i.e., proper motions are expected in degrees/year). pmra is assumed to contain cos(delta). NOTE: This currently is a crappy approximation that does *not* go through the tangential plane. If you use it, let the operators know so we replace it with something real.
BOX
POINT
CIRCLE
POLYGON
REGION
CENTROID
COORD1
COORD2
DISTANCE
CONTAINS
INTERSECTS
AREA
LOWER
OFFSET
CAST
IN_UNIT
UNION
EXCEPT
INTERSECT
 text/xml application/x-votable+xml;version=1.4 vodml text/html html application/x-votable+xml;serialization=binary2 votable/b2 application/geo-json geojson application/fits fits text/csv text/csv;header=present csv application/x-votable+xml;serialization=tabledata votable/td application/json json application/x-votable+xml votable text/plain text/tab-separated-values tsv 172800 3600 20000 10000000 100000000 astropy-pyvo-b70558c/pyvo/dal/tests/data/tap/examples.htm000066400000000000000000000105671510533647000235060ustar00rootroot00000000000000 Examples queries for HEASARC's TAP service astropy-pyvo-b70558c/pyvo/dal/tests/data/tap/lazy-table1.xml000066400000000000000000000013331510533647000240140ustar00rootroot00000000000000 test.table1Test table 1Lazy Test Table 1utype id Primary key unit meta.id;meta.main utype VARCHAR indexed primary test.foreigntable testkey testkey Test foreigner utype
astropy-pyvo-b70558c/pyvo/dal/tests/data/tap/lazy-table2.xml000066400000000000000000000026231510533647000240200ustar00rootroot00000000000000 test This is a unittest schema test.table2Test table 2Lazy Test Table 2utype id Primary key unit meta.id;meta.main utype VARCHAR indexed primary test.foreigntable testkey testkey Test foreigner utype
astropy-pyvo-b70558c/pyvo/dal/tests/data/tap/obscore-examples.html000066400000000000000000000034741510533647000253130ustar00rootroot00000000000000

ObsCore Examples from Heidelberg

These are examples for ADQL you can run in TAP services carrying an ivoa.obscore table. See ObsCore for the underlying data model.

Finding images by time and place

Suppose you read in an old amateur observer's log there was an unexpected object on the night sky in the cold winter nights of the week between January 12th and 18th, 1903 – and now you would like to see whether there could be an observation of such a thing.

SELECT s_ra, s_dec, t_min FROM ivoa.obscore
  WHERE t_min BETWEEN gavo_to_mjd('1903-01-12')
      AND gavo_to_mjd('1903-01-19')

There is also a shortcut via user defined functions. As an extension to regular ADQL, DaCHS lets you write gavo_simbadpoint('object') and replaces the result with a position obtained from simbad, like this:

SELECT access_url, t_exptime, t_min FROM ivoa.obscore
  WHERE
    t_min BETWEEN gavo_to_mjd('J2416128.5')
      AND gavo_to_mjd('J2416133.5') AND
    1=CONTAINS(gavo_simbadpoint('Aldebaran'),
      CIRCLE('ICRS', s_ra, s_dec, 15))
astropy-pyvo-b70558c/pyvo/dal/tests/data/tap/obscore-image.xml000066400000000000000000000632171510533647000244140ustar00rootroot00000000000000 Definition and support code for the ObsCore data model and table. Definition and support code for the ObsCore data model and table. The IVOA-defined obscore table, containing generic metadata for datasets within this datacenter. For advice on how to cite the resource(s) that contributed to this result, see http://dc.zah.uni-heidelberg.de/tableinfo/ivoa.ObsCore The IVOA-defined obscore table, containing generic metadata for datasets within this datacenter. The calib_level flag takes the following values: === =========================================================== 0 Raw Instrumental data requiring instrument-specific tools 1 Instrumental data processable with standard tools 2 Calibrated, science-ready data without instrument signature 3 Enhanced data products (e.g., mosaics) === =========================================================== High level scientific classification of the data product, taken from an enumeration Data product specific type Amount of data processing that has been applied to the data Name of a data collection (e.g., project name) this data belongs to Unique identifier for an observation Free-from title of the data set Dataset identifier assigned by the publisher. Dataset identifier assigned by the creator. The URL at which to obtain the data set. MIME type of the resource at access_url Estimated size of data product Object a targeted observation targeted Class of the target object (star, QSO, ...) RA of (center of) observation, ICRS Dec of (center of) observation, ICRS Approximate spatial extent for the region covered by the observation Region covered by the observation, as a polygon Best spatial resolution within the data set Lower bound of times represented in the data set, as MJD Upper bound of times represented in the data set, as MJD Total exporure time Minimal significant time interval along the time axis Minimal wavelength represented within the data set Maximal wavelength represented within the data set Spectral resolving power delta lambda/lamda UCD for the product's observable List of polarization states in the data set Name of the facility at which data was taken Name of the instrument that produced the data Number of elements (typically pixels) along the first spatial axis. Number of elements (typically pixels) along the second spatial axis. Number of elements (typically pixels) along the time axis. Number of elements (typically pixels) along the spectral axis. Number of elements (typically pixels) along the polarization axis. Sampling period in world coordinate units along the spatial axis Nature of the product's spectral axis
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image 0 Carte du Ciel potsdam/data/fits/POT032_000002F.fits POT032 000002F 1913-09-27 ivo://org.gavo.dc/~?potsdam/data/fits/POT032_000002F.fits http://dc.zah.uni-heidelberg.de/getproduct/potsdam/data/fits/POT032_000002F.fits image/fits 435344 3.53452561567638 32.5695561136923 2.63052286885795 Polygon ICRS 5.103047601 33.886686541 5.0917765511 31.2555119167 2.0160910239 31.2347269366 1.9365250319 33.8649731746 0.634285487467423 20037.0 20037.0 NaN NaN NaN NaN NaN em.opt Astrophysikalisches Observatorium Potsdam AO Potsdam, CdC 32-cm refractor 14930 14929 -1 -1 -1 NaN
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astropy-pyvo-b70558c/pyvo/dal/tests/data/tap/tables.xml000066400000000000000000000013311510533647000231370ustar00rootroot00000000000000 test This is a unittest schema test.table1
test.table2
 astropy-pyvo-b70558c/pyvo/dal/tests/make_testdata.py000066400000000000000000000106021510533647000226270ustar00rootroot00000000000000from pathlib import Path import numpy as np from astropy.table import Table from astropy.io.votable.tree import VOTableFile, Info from astropy.io.fits import ImageHDU def _votablefile(): table = Table([ [23, 42, 1337], [b'Illuminatus', b"Don't panic, and always carry a towel", b'Elite'] ], names=('1', '2')) table['1'].meta['ucd'] = 'foo;bar' table['2'].meta['utype'] = 'foobar' votable_file = VOTableFile.from_table(table) info = Info(name='QUERY_STATUS', value='OK') info.content = 'OK' votable_file.resources[0].infos.append(info) return votable_file def votablefile(): votable_file = _votablefile() return votable_file def votablefile_errorstatus(): votable_file = _votablefile() info = Info(name='QUERY_STATUS', value='ERROR') info.content = 'ERROR' votable_file.resources[0].infos[0] = info return votable_file def votablefile_overflowstatus(): votable_file = _votablefile() info_ok = Info(name='QUERY_STATUS', value='OK') info_overflow = Info(name='QUERY_STATUS', value='OVERFLOW') votable_file.resources[0].infos[0] = info_ok votable_file.resources[0].infos.append(info_overflow) return votable_file def votablefile_missingtable(): votable_file = _votablefile() del votable_file.resources[0].tables[0] return votable_file def votablefile_missingresource(): votable_file = _votablefile() del votable_file.resources[0] return votable_file def votablefile_missingcolumns(): votable_file = _votablefile() del votable_file.resources[0].tables[0].fields[:] return votable_file def votablefile_firstresource(): votable_file = _votablefile() votable_file.resources[0]._type = 'results' return votable_file def votablefile_tableinfo(): votable_file = _votablefile() votable_file.resources[0].tables[0].infos[:] = ( votable_file.resources[0].infos[:]) del votable_file.resources[0].infos[:] return votable_file def votablefile_rootinfo(): votable_file = _votablefile() votable_file.infos[:] = ( votable_file.resources[0].infos[:]) del votable_file.resources[0].infos[:] return votable_file def votablefile_dataset(): table = Table([ [ 'image/fits', 'application/x-votable+xml', 'application/x-votable+xml;content=datalink' ], [ b'http://example.com/querydata/image.fits', b'http://example.com/querydata/votable.xml', b'http://example.com/querydata/votable-datalink.xml' ] ], names=('dataformat', 'dataurl')) table['dataformat'].meta['ucd'] = 'meta.code.mime' table['dataurl'].meta['utype'] = 'Access.Reference' table['dataurl'].meta['ucd'] = 'meta.dataset;meta.ref.url' votable_file = VOTableFile.from_table(table) info = Info(name='QUERY_STATUS', value='OK') info.content = 'OK' votable_file.resources[0].infos.append(info) return votable_file def dataset_fits(): hdu = ImageHDU(np.random.random((256, 256))) return hdu def main(): dirname = Path(__file__).parent / 'data' votablefile().to_xml( str(dirname / 'query/basic.xml'), tabledata_format='tabledata') votablefile_errorstatus().to_xml( str(dirname / 'query/errorstatus.xml'), tabledata_format='tabledata') votablefile_overflowstatus().to_xml( str(dirname / 'query/overflowstatus.xml'), tabledata_format='tabledata') votablefile_missingtable().to_xml( str(dirname / 'query/missingtable.xml'), tabledata_format='tabledata') votablefile_missingresource().to_xml( str(dirname / 'query/missingresource.xml'), tabledata_format='tabledata') votablefile_missingcolumns().to_xml( str(dirname / 'query/missingcolumns.xml'), tabledata_format='tabledata') votablefile_firstresource().to_xml( str(dirname / 'query/firstresource.xml'), tabledata_format='tabledata') votablefile_tableinfo().to_xml( str(dirname / 'query/tableinfo.xml'), tabledata_format='tabledata') votablefile_rootinfo().to_xml( str(dirname / 'query/rootinfo.xml'), tabledata_format='tabledata') votablefile_dataset().to_xml( str(dirname / 'query/dataset.xml'), tabledata_format='tabledata') dataset_fits().writeto( str(dirname / 'querydata/image.fits'), overwrite=True) if __name__ == '__main__': main() astropy-pyvo-b70558c/pyvo/dal/tests/test_adhoc.py000066400000000000000000000202541510533647000221420ustar00rootroot00000000000000#!/usr/bin/env python # Licensed under a 3-clause BSD style license - see LICENSE.rst """ Tests for pyvo.dal.adhoc """ import datetime from astropy import units as u from astropy.time import Time import pytest from pyvo.dal.adhoc import AxisParamMixin, SodaQuery def test_pos(): class TestClass(dict, AxisParamMixin): pass test_obj = TestClass() test_obj.pos.add((1, 2, 3) * u.deg) assert len(test_obj._pos) == 1 assert test_obj['POS'] == ['CIRCLE 1.0 2.0 3.0'] test_obj.pos.add((1, 2, 3, 4)) assert len(test_obj._pos) == 2 assert test_obj['POS'] == ['CIRCLE 1.0 2.0 3.0', 'RANGE 1.0 2.0 3.0 4.0'] # duplicates are ignored test_obj.pos.add((1, 2, 3)) assert len(test_obj._pos) == 2 assert test_obj['POS'] == ['CIRCLE 1.0 2.0 3.0', 'RANGE 1.0 2.0 3.0 4.0'] # polygon test_obj.pos.add((1, 2, 3, 4, 5, 6)) assert len(test_obj._pos) == 3 assert test_obj['POS'] == ['CIRCLE 1.0 2.0 3.0', 'RANGE 1.0 2.0 3.0 4.0', 'POLYGON 1.0 2.0 3.0 4.0 5.0 6.0'] # deletes test_obj.pos.remove((1, 2, 3, 4)) assert len(test_obj._pos) == 2 assert test_obj['POS'] == ['CIRCLE 1.0 2.0 3.0', 'POLYGON 1.0 2.0 3.0 4.0 5.0 6.0'] # test borders test_obj.pos.discard((1, 2, 3) * u.deg) test_obj.pos.discard((1, 2, 3, 4, 5, 6)) assert (len(test_obj._pos) == 0) test_obj.pos.add((0, 90, 90)) assert len(test_obj._pos) == 1 assert test_obj['POS'] == ['CIRCLE 0.0 90.0 90.0'] test_obj.pos.pop() test_obj.pos.add((360, -90, 1)) assert len(test_obj._pos) == 1 assert test_obj['POS'] == ['CIRCLE 360.0 -90.0 1.0'] test_obj.pos.pop() test_obj.pos.add((0, 360, -90, 90)) assert len(test_obj._pos) == 1 assert test_obj['POS'] == ['RANGE 0.0 360.0 -90.0 90.0'] test_obj.pos.pop() test_obj.pos.add((0, 0, 180, 90, 270, -90)) assert len(test_obj._pos) == 1 assert test_obj['POS'] == ['POLYGON 0.0 0.0 180.0 90.0 270.0 -90.0'] # errors test_obj.pos.pop() with pytest.raises(TypeError): test_obj.pos.add(('A', 2, 3)) with pytest.raises(ValueError): test_obj.pos.add((-2, 7, 3)) with pytest.raises(ValueError): test_obj.pos.add((3, 99, 3)) with pytest.raises(ValueError): test_obj.pos.add((2, 7, 91)) with pytest.raises(ValueError): test_obj.pos.add((-1, 7, 3, 4)) with pytest.raises(ValueError): test_obj.pos.add((2, 1, 3, 4)) with pytest.raises(ValueError): test_obj.pos.add((1, 2, 4, 3)) with pytest.raises(ValueError): test_obj.pos.add((-2, 7, 5, 9, 10, 10)) with pytest.raises(ValueError): test_obj.pos.add((2, 99, 5, 9, 10, 10)) with pytest.raises(ValueError): test_obj.pos.add((1, 2, 3, 4, 5, 6, 7)) def test_band(): class TestClass(dict, AxisParamMixin): pass test_obj = TestClass() assert not hasattr(test_obj, '_band') test_obj.band.add(33) assert 33 in test_obj.band assert test_obj['BAND'] == ['33.0 33.0'] test_obj.band.add((50 * u.meter, 500)) assert 33 in test_obj.band assert (50 * u.meter, 500) in test_obj.band assert test_obj['BAND'] == ['33.0 33.0', '50.0 500.0'] test_obj.band.discard(33) assert (50 * u.meter, 500) in test_obj.band assert test_obj['BAND'] == ['50.0 500.0'] test_obj.band.pop() assert not test_obj.band assert not test_obj['BAND'] test_obj.band.add((float('-inf'), 33)) assert (float('-inf'), 33) in test_obj.band assert test_obj.band.dal == ['-inf 33.0'] test_obj.band.clear() test_obj.band.add((33, float('inf'))) assert (33, float('inf')) in test_obj.band assert test_obj.band.dal == ['33.0 inf'] test_obj.clear() # error cases with pytest.raises(ValueError): test_obj.band.add(()) with pytest.raises(ValueError): test_obj.band.add((1, 2, 3)) with pytest.raises(TypeError): test_obj.band.add(('INVALID', 6)) with pytest.raises(ValueError): test_obj.band.add((3, 1)) def test_time(): class TestClass(dict, AxisParamMixin): pass test_obj = TestClass() assert not hasattr(test_obj, '_time') now = Time(datetime.datetime.now(tz=datetime.timezone.utc)) test_obj.time.add(now) assert now in test_obj.time assert test_obj['TIME'] == ['{now} {now}'.format(now=now.mjd)] min_time = '2010-01-01T00:00:00.000Z' max_time = '2010-01-01T01:00:00.000Z' test_obj.time.add((min_time, max_time)) assert now in test_obj.time assert (min_time, max_time) in test_obj.time assert test_obj['TIME'] == ['{now} {now}'.format(now=now.mjd), '{min} {max}'.format(min=Time(min_time).mjd, max=Time(max_time).mjd)] test_obj.time.discard(now) assert (min_time, max_time) in test_obj.time assert test_obj['TIME'] == ['{min} {max}'.format(min=Time(min_time).mjd, max=Time(max_time).mjd)] test_obj.time.pop() assert not test_obj.time assert not test_obj['TIME'] # error cases with pytest.raises(ValueError): test_obj.time.add([]) with pytest.raises(ValueError): test_obj.time.add([now, min_time, max_time]) with pytest.raises(ValueError): test_obj.time.add(['INVALID']) with pytest.raises(ValueError): test_obj.time.add([max_time, min_time]) def test_pol(): class TestClass(dict, AxisParamMixin): pass test_obj = TestClass() assert not hasattr(test_obj, '_pol') test_obj.pol.add('YY') assert 'YY' in test_obj.pol assert test_obj['POL'] == ['YY'] test_obj.pol.add('POLI') assert 'YY' in test_obj.pol assert 'POLI' in test_obj.pol assert test_obj['POL'] == ['YY', 'POLI'] # test duplicate test_obj.pol.add('POLI') assert 'YY' in test_obj.pol assert 'POLI' in test_obj.pol assert test_obj['POL'] == ['YY', 'POLI'] test_obj.pol.remove('YY') assert 'POLI' in test_obj.pol assert test_obj['POL'] == ['POLI'] test_obj.pol.pop() assert not test_obj._pol assert not test_obj['POL'] # error cases with pytest.raises(ValueError): test_obj.pol.add(None) with pytest.raises(ValueError): test_obj.pol.add(['INVALID']) def test_soda_query(): test_obj = SodaQuery(baseurl='some/url') test_obj.circle = (2, 3, 5) assert test_obj._circle == (2, 3, 5) assert test_obj['CIRCLE'] == '2.0 3.0 5.0' assert test_obj._circle assert not hasattr(test_obj, '_polygon') assert not hasattr(test_obj, '_range') test_obj.range = (8, 9, 3, 4) * u.deg assert test_obj['POS'] == 'RANGE 8.0 9.0 3.0 4.0' assert test_obj._range is not None assert not hasattr(test_obj, '_polygon') assert not hasattr(test_obj, '_circle') test_obj.polygon = (1, 2, 3, 4, 5, 6) assert test_obj['POLYGON'] == '1.0 2.0 3.0 4.0 5.0 6.0' assert test_obj._polygon assert not hasattr(test_obj, '_range') assert not hasattr(test_obj, '_circle') del test_obj.polygon assert not hasattr(test_obj, '_polygon') assert not hasattr(test_obj, '_circle') assert not hasattr(test_obj, '_range') # error cases with pytest.raises(TypeError): test_obj.circle = ('A', 1, 2) with pytest.raises(ValueError): test_obj.circle = (1, 1, 2, 2) with pytest.raises(ValueError): test_obj.circle = (-1, 1, 2) with pytest.raises(ValueError): test_obj.circle = (1, 99, 2) with pytest.raises(ValueError): test_obj.circle = (1, 1, 91) with pytest.raises(ValueError): test_obj.range = (1, 2, 3) with pytest.raises(ValueError): test_obj.range = (2, 1, 3, 4) with pytest.raises(ValueError): test_obj.range = (1, 2, 4, 3) with pytest.raises(ValueError): test_obj.range = (-1, 2, 3, 4) with pytest.raises(ValueError): test_obj.range = (2, 1000, 3, 4) with pytest.raises(ValueError): test_obj.range = (1, 1, -91, 4) with pytest.raises(ValueError): test_obj.range = (1, 1, 3, 92) with pytest.raises(ValueError): test_obj.polygon = (1, 2, 3, 4) with pytest.raises(ValueError): test_obj.polygon = (2, 1, 3, 4, 5, 6, 7) astropy-pyvo-b70558c/pyvo/dal/tests/test_datalink.py000066400000000000000000000321101510533647000226450ustar00rootroot00000000000000#!/usr/bin/env python # Licensed under a 3-clause BSD style license - see LICENSE.rst """ Tests for pyvo.dal.datalink """ from functools import partial import re import pytest import pyvo as vo from pyvo.dal.adhoc import DatalinkResults, DALServiceError from pyvo.dal.sia2 import SIA2Results from pyvo.dal.tap import TAPResults from pyvo.utils import testing, vocabularies from pyvo.dal.sia import search from astropy.utils.data import get_pkg_data_contents, get_pkg_data_filename get_pkg_data_contents = partial( get_pkg_data_contents, package=__package__, encoding='binary') @pytest.fixture() def ssa_datalink(mocker): def callback(request, context): return get_pkg_data_contents('data/datalink/datalink-ssa.xml') with mocker.register_uri( 'GET', 'http://example.com/ssa_datalink', content=callback ) as matcher: yield matcher sia_re = re.compile("http://example.com/sia.*") @pytest.fixture() def register_mocks(mocker): with mocker.register_uri( "GET", "http://example.com/querydata/image.fits", content=get_pkg_data_contents("data/querydata/image.fits"), ) as matcher: yield matcher @pytest.fixture() def sia(mocker): with mocker.register_uri( "GET", sia_re, content=get_pkg_data_contents("data/sia/dataset.xml") ) as matcher: yield matcher @pytest.fixture() def datalink(mocker): def callback(request, context): return get_pkg_data_contents('data/datalink/datalink.xml') with mocker.register_uri( 'POST', 'http://example.com/datalink', content=callback ) as matcher: yield matcher @pytest.fixture() def datalink_product(mocker): def callback(request, context): return get_pkg_data_contents('data/datalink/datalink.xml') with mocker.register_uri( 'GET', 'http://example.com/datalink.xml', content=callback ) as matcher: yield matcher @pytest.fixture() def obscore_datalink(mocker): def callback(request, context): return get_pkg_data_contents('data/datalink/datalink-obscore.xml') with mocker.register_uri( 'GET', 'http://example.com/obscore', content=callback ) as matcher: yield matcher @pytest.fixture() def res_datalink(mocker): first_batch = True def callback(request, context): nonlocal first_batch if first_batch: first_batch = False return get_pkg_data_contents('data/datalink/cutout1.xml') else: return get_pkg_data_contents('data/datalink/cutout2.xml') with mocker.register_uri( 'POST', 'https://example.com/obscore-datalink', content=callback ) as matcher: yield matcher @pytest.fixture() def proc(mocker): def callback(request, context): return get_pkg_data_contents('data/datalink/proc.xml') with mocker.register_uri( 'GET', 'http://example.com/proc', content=callback ) as matcher: yield matcher @pytest.fixture() def datalink_vocabulary(mocker): # astropy download_file (which get_vocabluary uses) does not use # requests, so we can't mock this as we can mock the others. We # replace the entire function for a while dl_voc_uri = 'http://www.ivoa.net/rdf/datalink/core' def fake_download_file(src_url, *args, **kwargs): assert src_url == dl_voc_uri return get_pkg_data_filename('data/datalink/datalink.desise') real_download_file = vocabularies.download_file try: vocabularies.download_file = fake_download_file yield finally: vocabularies.download_file = real_download_file @pytest.mark.usefixtures('ssa_datalink', 'datalink') @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W27") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W06") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W48") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.E02") def test_datalink(): results = vo.spectrumsearch( 'http://example.com/ssa_datalink', (30, 30)) for preserve_order in [False, True]: dl_res = set(results.iter_datalinks(preserve_order=preserve_order)) assert len(dl_res) == 1 datalinks = dl_res.pop() assert datalinks.original_row["accsize"] == 100800 assert 4 == len(datalinks) for dl in datalinks: assert dl.semantics in ['#this', '#preview', '#progenitor', '#proc'] @pytest.mark.usefixtures('obscore_datalink', 'res_datalink') @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W27") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W06") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W48") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.E02") def test_datalink_batch(): results = vo.dal.imagesearch( 'http://example.com/obscore', (30, 30)) for preserve_order in [False, True]: dls = list(results.iter_datalinks(preserve_order=preserve_order)) assert len(dls) == 3 assert dls[0].original_row["obs_collection"] == "MACHO" @pytest.mark.usefixtures('proc', 'datalink_vocabulary') @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W27") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W06") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W48") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.E02") class TestSemanticsRetrieval: def test_access_with_string(self): datalinks = DatalinkResults.from_result_url('http://example.com/proc') assert datalinks.original_row is None res = [r["access_url"] for r in datalinks.bysemantics("#this")] assert len(res) == 1 assert res[0].endswith("eq010000ms/20100927.comb_avg.0001.fits.fz") def test_access_with_list(self): datalinks = DatalinkResults.from_result_url('http://example.com/proc') res = [r["access_url"] for r in datalinks.bysemantics(["#this", "#preview-image"])] assert len(res) == 2 assert res[0].endswith("eq010000ms/20100927.comb_avg.0001.fits.fz") assert res[1].endswith("20100927.comb_avg.0001.fits.fz?preview=True") def test_access_with_expansion(self): datalinks = DatalinkResults.from_result_url('http://example.com/proc') res = [r["access_url"] for r in datalinks.bysemantics(["#this", "#preview"])] assert len(res) == 3 assert res[0].endswith("eq010000ms/20100927.comb_avg.0001.fits.fz") assert res[1].endswith("20100927.comb_avg.0001.fits.fz?preview=True") assert res[2].endswith("http://dc.zah.uni-heidelberg.de/wider.dat") def test_access_without_expansion(self): datalinks = DatalinkResults.from_result_url('http://example.com/proc') res = [r["access_url"] for r in datalinks.bysemantics( ["#this", "#preview"], include_narrower=False)] assert len(res) == 2 assert res[0].endswith("eq010000ms/20100927.comb_avg.0001.fits.fz") assert res[1].endswith("http://dc.zah.uni-heidelberg.de/wider.dat") def test_with_full_url(self): datalinks = DatalinkResults.from_result_url('http://example.com/proc') res = [r["access_url"] for r in datalinks.bysemantics("urn:example:rdf/dlext#oracle")] assert len(res) == 1 assert res[0].endswith("when-will-it-be-back") def test_all_mixed(self): datalinks = DatalinkResults.from_result_url('http://example.com/proc') res = [r["access_url"] for r in datalinks.bysemantics([ "urn:example:rdf/dlext#oracle", 'http://www.ivoa.net/rdf/datalink/core#preview', '#this', 'non-existing-term'])] assert len(res) == 4 assert res[0].endswith("eq010000ms/20100927.comb_avg.0001.fits.fz") assert res[1].endswith("comb_avg.0001.fits.fz?preview=True") assert res[2].endswith("http://dc.zah.uni-heidelberg.de/wider.dat") assert res[3].endswith("when-will-it-be-back") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.E02") @pytest.mark.usefixtures('datalink_product', 'datalink_vocabulary') class TestIterDatalinksProducts: """Tests for producing datalinks from tables containing links to datalink documents. """ def test_no_access_format(self): res = testing.create_dalresults([ {"name": "access_url", "datatype": "char", "arraysize": "*", "utype": "obscore:access.reference"}], [("http://foo.bar/baz.jpeg",)], resultsClass=TAPResults) assert list(res.iter_datalinks()) == [] def test_obscore_utype(self): res = testing.create_dalresults([ {"name": "data_product", "datatype": "char", "arraysize": "*", "utype": "obscore:access.reference"}, {"name": "content_type", "datatype": "char", "arraysize": "*", "utype": "obscore:access.format"},], [("http://example.com/datalink.xml", "application/x-votable+xml;content=datalink")], resultsClass=TAPResults) links = list(res.iter_datalinks()) assert len(links) == 1 assert (next(links[0].bysemantics("#this"))["access_url"] == "http://dc.zah.uni-heidelberg.de/getproduct/flashheros/data/ca90/f0011.mt") def test_sia2_record(self): res = testing.create_dalresults([ {"name": "access_url", "datatype": "char", "arraysize": "*", "utype": "obscore:access.reference"}, {"name": "access_format", "datatype": "char", "arraysize": "*", "utype": "obscore:access.format"},], [("http://example.com/datalink.xml", "application/x-votable+xml;content=datalink")], resultsClass=SIA2Results) links = list(res.iter_datalinks()) assert len(links) == 1 assert (next(links[0].bysemantics("#this"))["access_url"] == "http://dc.zah.uni-heidelberg.de/getproduct/flashheros/data/ca90/f0011.mt") def test_sia1_record(self): res = testing.create_dalresults([ {"name": "product", "datatype": "char", "arraysize": "*", "ucd": "VOX:Image_AccessReference"}, {"name": "mime", "datatype": "char", "arraysize": "*", "ucd": "VOX:Image_Format"},], [("http://example.com/datalink.xml", "application/x-votable+xml;content=datalink")], resultsClass=TAPResults) links = list(res.iter_datalinks()) assert len(links) == 1 assert (next(links[0].bysemantics("#this"))["access_url"] == "http://dc.zah.uni-heidelberg.de/getproduct/flashheros/data/ca90/f0011.mt") def test_ssap_record(self): res = testing.create_dalresults([ {"name": "product", "datatype": "char", "arraysize": "*", "utype": "ssa:access.reference"}, {"name": "mime", "datatype": "char", "arraysize": "*", "utype": "ssa:access.format"},], [("http://example.com/datalink.xml", "application/x-votable+xml;content=datalink")], resultsClass=TAPResults) links = list(res.iter_datalinks()) assert len(links) == 1 assert (next(links[0].bysemantics("#this"))["access_url"] == "http://dc.zah.uni-heidelberg.de/getproduct/flashheros/data/ca90/f0011.mt") def test_generic_record(self): # The meta.code.mime and meta.ref.url UCDs are perhaps too # generic. To ensure a somewhat predictable behaviour, # we at least make sure we pick the first of possibly multiple # pairs (not that this would preclude arbitrary amounts of # chaos). res = testing.create_dalresults([ {"name": "access_url", "datatype": "char", "arraysize": "*", "ucd": "meta.ref.url"}, {"name": "access_format", "datatype": "char", "arraysize": "*", "utype": "meta.code.mime"}, {"name": "alt_access_url", "datatype": "char", "arraysize": "*", "ucd": "meta.ref.url"}, {"name": "alt_access_format", "datatype": "char", "arraysize": "*", "utype": "meta.code.mime"},], [("http://example.com/datalink.xml", "application/x-votable+xml;content=datalink", "http://example.com/bad-pick.xml", "application/x-votable+xml;content=datalink",)], resultsClass=TAPResults) links = list(res.iter_datalinks()) assert len(links) == 1 assert (next(links[0].bysemantics("#this"))["access_url"] == "http://dc.zah.uni-heidelberg.de/getproduct/flashheros/data/ca90/f0011.mt") @pytest.mark.usefixtures("sia", "register_mocks") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W06") def test_no_datalink(): # for issue #328 getdatalink() exits messily when there isn't a datalink results = search("http://example.com/sia", pos=(288, 15), format="all") result = results[0] with pytest.raises(DALServiceError, match="No datalink found for record."): result.getdatalink() astropy-pyvo-b70558c/pyvo/dal/tests/test_mimetype.py000066400000000000000000000031501510533647000227110ustar00rootroot00000000000000#!/usr/bin/env python # Licensed under a 3-clause BSD style license - see LICENSE.rst """ Tests for pyvo.dal.mimetype """ from functools import partial import pytest import requests_mock from astropy.utils.data import get_pkg_data_contents from pyvo.dal.mimetype import mime_object_maker mime_url = 'https://someurl.com/' get_pkg_data_contents = partial( get_pkg_data_contents, package=__package__, encoding='binary') try: from PIL import Image # noqa: F401 HAS_PILLOW = True except ImportError: HAS_PILLOW = False @pytest.fixture() def mime(mocker): def callback(request, context): if 'mime-text' in request.url: return b'Text content' elif 'image' in request.url: return get_pkg_data_contents('data/mimetype/ivoa_logo.jpg') elif 'fits' in request.url: return get_pkg_data_contents('data/mimetype/test.fits') with mocker.register_uri( 'GET', requests_mock.ANY, content=callback ) as matcher: yield matcher @pytest.mark.usefixtures('mime') @pytest.mark.skipif('not HAS_PILLOW') def test_mime_object_maker(): assert 'Text content' == mime_object_maker(mime_url + 'mime-text', 'text/csv') img = mime_object_maker(mime_url + 'image', 'image/jpeg') assert img assert 'JPEG' == img.format fits = mime_object_maker(mime_url + 'fits', 'application/fits') assert 2 == len(fits) # error cases with pytest.raises(ValueError): mime_object_maker(None, "not/a/mime/type") with pytest.raises(ValueError): mime_object_maker(None, None) astropy-pyvo-b70558c/pyvo/dal/tests/test_monkeypatch.py000066400000000000000000000006031510533647000234020ustar00rootroot00000000000000#!/usr/bin/env python # Licensed under a 3-clause BSD style license - see LICENSE.rst """ Tests for pyvo.dal.datalink """ from astropy.table import Table from astropy.utils.data import get_pkg_data_filename def test_monkeypatch(): Table.read(get_pkg_data_filename("data/monkeypatch.xml")) import pyvo # noqa: F401 Table.read(get_pkg_data_filename("data/monkeypatch.xml")) astropy-pyvo-b70558c/pyvo/dal/tests/test_params.py000066400000000000000000000163371510533647000223560ustar00rootroot00000000000000#!/usr/bin/env python # Licensed under a 3-clause BSD style license - see LICENSE.rst """ Tests for pyvo.dal.datalink """ from functools import partial from urllib.parse import parse_qsl from pyvo.dal.adhoc import DatalinkResults from pyvo.dal.params import find_param_by_keyword, get_converter, AbstractDalQueryParam, IntervalQueryParam from pyvo.dal.exceptions import DALServiceError import pytest import numpy as np import astropy.units as u from astropy.utils.data import get_pkg_data_contents, get_pkg_data_fileobj get_pkg_data_contents = partial( get_pkg_data_contents, package=__package__, encoding='binary') get_pkg_data_fileobj = partial( get_pkg_data_fileobj, package=__package__, encoding='binary') @pytest.fixture() def proc(mocker): def callback(request, context): return get_pkg_data_contents('data/datalink/proc.xml') with mocker.register_uri( 'GET', 'http://example.com/proc', content=callback ) as matcher: yield matcher @pytest.fixture() def proc_ds(mocker): def callback(request, context): return b'' with mocker.register_uri( 'GET', 'http://example.com/proc', content=callback ) as matcher: yield matcher @pytest.fixture() def proc_units(mocker): def callback(request, context): return get_pkg_data_contents('data/datalink/proc_units.xml') with mocker.register_uri( 'GET', 'http://example.com/proc_units', content=callback ) as matcher: yield matcher @pytest.fixture() def proc_units_ds(mocker): def callback(request, context): data = dict(parse_qsl(request.query)) if 'band' in data: assert data['band'] == ( '6.000000000000001e-07 8.000000000000001e-06') return b'' with mocker.register_uri( 'GET', 'http://example.com/proc_units_ds', content=callback ) as matcher: yield matcher @pytest.fixture() def proc_inf(mocker): def callback(request, context): return get_pkg_data_contents('data/datalink/proc_inf.xml') with mocker.register_uri( 'GET', 'http://example.com/proc_inf', content=callback ) as matcher: yield matcher @pytest.fixture() def proc_inf_ds(mocker): def callback(request, context): data = dict(parse_qsl(request.query)) if 'band' in data: assert data['band'] == ( '6.000000000000001e-07 +Inf') return b'' with mocker.register_uri( 'GET', 'http://example.com/proc_inf_ds', content=callback ) as matcher: yield matcher @pytest.mark.usefixtures('proc') @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W06") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W48") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.E02") def test_find_param_by_keyword(): datalink = DatalinkResults.from_result_url('http://example.com/proc') proc_dl = datalink[0] input_params = {param.name: param for param in proc_dl.input_params} polygon_lower = find_param_by_keyword('polygon', input_params) polygon_upper = find_param_by_keyword('POLYGON', input_params) circle_lower = find_param_by_keyword('circle', input_params) circle_upper = find_param_by_keyword('CIRCLE', input_params) assert polygon_lower == polygon_upper assert circle_lower == circle_upper @pytest.mark.usefixtures('proc') @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W06") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W48") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.E02") def test_serialize(): datalink = DatalinkResults.from_result_url('http://example.com/proc') proc_dl = datalink[0] input_params = {param.name: param for param in proc_dl.input_params} polygon_conv = get_converter( find_param_by_keyword('polygon', input_params)) circle_conv = get_converter( find_param_by_keyword('circle', input_params)) scale_conv = get_converter( find_param_by_keyword('scale', input_params)) kind_conv = get_converter( find_param_by_keyword('kind', input_params)) assert polygon_conv.serialize((1, 2, 3)) == "1 2 3" assert polygon_conv.serialize(np.array((1, 2, 3))) == "1 2 3" assert circle_conv.serialize((1.1, 2.2, 3.3)) == "1.1 2.2 3.3" assert circle_conv.serialize(np.array((1.1, 2.2, 3.3))) == "1.1 2.2 3.3" assert scale_conv.serialize(1) == "1" assert kind_conv.serialize("DATA") == "DATA" @pytest.mark.usefixtures('proc') @pytest.mark.usefixtures('proc_ds') @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.E02") def test_serialize_exceptions(): datalink = DatalinkResults.from_result_url('http://example.com/proc') proc_dl = datalink[0] input_params = {param.name: param for param in proc_dl.input_params} polygon_conv = get_converter( find_param_by_keyword('polygon', input_params)) circle_conv = get_converter( find_param_by_keyword('circle', input_params)) band_conv = get_converter( find_param_by_keyword('band', input_params)) with pytest.raises(DALServiceError): polygon_conv.serialize((1, 2, 3, 4)) with pytest.raises(DALServiceError): circle_conv.serialize((1, 2, 3, 4)) with pytest.raises(DALServiceError): band_conv.serialize((1, 2, 3)) @pytest.mark.usefixtures('proc_units') @pytest.mark.usefixtures('proc_units_ds') @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.E02") def test_units(): datalink = DatalinkResults.from_result_url('http://example.com/proc_units') proc_dl = datalink[0] proc_dl.process(band=(6000 * u.Angstrom, 80000 * u.Angstrom)) @pytest.mark.usefixtures('proc_inf') @pytest.mark.usefixtures('proc_inf_ds') @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.E02") def test_inf(): datalink = DatalinkResults.from_result_url('http://example.com/proc_inf') proc_dl = datalink[0] proc_dl.process(band=(6000, +np.inf) * u.Angstrom) def test_dal_query_param(): class Test(AbstractDalQueryParam): def get_dal_format(self, item): return str(item) # check test_obs behaves like a set but also holds the dal representation test_obs = Test() test_obs.add(1) assert 1 in test_obs assert test_obs.dal == ['1'] test_obs.add(2) test_obs.add(3) assert len(test_obs) == 3 assert test_obs.dal == ['1', '2', '3'] assert {2, 3} < test_obs assert {1, 2, 3, 4} > test_obs test_obs.clear() assert len(test_obs) == 0 assert len(test_obs.dal) == 0 def test_dal_format(): iqp = IntervalQueryParam(unit=u.m, equivalencies=u.spectral()) assert '1.0 1.0' == iqp.get_dal_format(1) assert '1.0 2.0' == iqp.get_dal_format((1, 2)) assert '1.0 2.0' == iqp.get_dal_format((100 * u.cm, 200 * u.cm)) assert '1.0 2.0' == iqp.get_dal_format((100, 200) * u.cm) assert '0.14989622900000002 1.0' == iqp.get_dal_format((100 * u.cm, 2 * u.GHz)) assert '14.9896229 29.9792458' == iqp.get_dal_format((0.01, 0.02) * u.GHz) # Quantity intervals are corrected in terms of min and max .. assert '1.0 2.0' == iqp.get_dal_format((2, 1) * u.m) # But unitless intervals are not with pytest.raises(ValueError): iqp.get_dal_format((2, 1)) astropy-pyvo-b70558c/pyvo/dal/tests/test_query.py000066400000000000000000000507061510533647000222360ustar00rootroot00000000000000#!/usr/bin/env python # Licensed under a 3-clause BSD style license - see LICENSE.rst """ Tests for pyvo.dal.query """ import warnings from functools import partial from contextlib import ExitStack from io import BytesIO from os import listdir import pytest import numpy as np import platform from pyvo.dal.query import DALService, DALQuery, DALResults, Record, Upload from pyvo.dal.exceptions import DALServiceError, DALQueryError, DALFormatError, DALOverflowWarning from pyvo.version import version from astropy.table import Table, QTable from astropy.io.votable import parse as votableparse from astropy.io.votable.tree import VOTableFile try: # Workaround astropy deprecation, remove try/except once >=6.0 is required from astropy.io.votable.tree import TableElement except ImportError: from astropy.io.votable.tree import Table as TableElement from astropy.io.fits import HDUList from astropy.utils.data import get_pkg_data_contents, get_pkg_data_filename get_pkg_data_contents = partial( get_pkg_data_contents, package=__package__, encoding='binary') @pytest.fixture() def register_mocks(mocker): with ExitStack() as stack: matchers = [ stack.enter_context(mocker.register_uri( 'GET', '//example.com/query/basic', content=get_pkg_data_contents('data/query/basic.xml') )), stack.enter_context(mocker.register_uri( 'GET', 'http://example.com/query/missingtable', content=get_pkg_data_contents('data/query/missingtable.xml') )), stack.enter_context(mocker.register_uri( 'GET', 'http://example.com/query/missingresource', content=get_pkg_data_contents('data/query/missingresource.xml') )), stack.enter_context(mocker.register_uri( 'GET', 'http://example.com/query/missingcolumns', content=get_pkg_data_contents('data/query/missingcolumns.xml') )), stack.enter_context(mocker.register_uri( 'GET', 'http://example.com/query/firstresource', content=get_pkg_data_contents('data/query/firstresource.xml') )), stack.enter_context(mocker.register_uri( 'GET', 'http://example.com/query/rootinfo', content=get_pkg_data_contents('data/query/rootinfo.xml') )), stack.enter_context(mocker.register_uri( 'GET', 'http://example.com/query/tableinfo', content=get_pkg_data_contents('data/query/tableinfo.xml') )), stack.enter_context(mocker.register_uri( 'GET', 'http://example.com/query/dataset', content=get_pkg_data_contents('data/query/dataset.xml') )), stack.enter_context(mocker.register_uri( 'GET', 'http://example.com/querydata/image.fits', content=get_pkg_data_contents('data/querydata/image.fits') )), # mocker.register_uri( # 'GET', 'http://example.com/querydata/votable.xml', # content=get_pkg_data_contents('data/querydata/votable.xml') # ), # mocker.register_uri( # 'GET', 'http://example.com/querydata/votable-datalink.xml', # content=get_pkg_data_contents('data/querydata/votable-datalink.xml') # ), stack.enter_context(mocker.register_uri( 'GET', 'http://example.com/query/nonexistant', text='Not Found', status_code=404 )), stack.enter_context(mocker.register_uri( 'GET', '//example.com/query/errornous', text='Error', status_code=500 )), stack.enter_context(mocker.register_uri( 'GET', 'http://example.com/query/errorstatus', content=get_pkg_data_contents('data/query/errorstatus.xml') )), stack.enter_context(mocker.register_uri( 'GET', 'http://example.com/query/overflowstatus', content=get_pkg_data_contents('data/query/overflowstatus.xml') )), ] def verbosetest_callback(request, context): assert 'VERBOSE' in request.qs and '1' in request.qs['VERBOSE'] return get_pkg_data_contents('data/query/basic.xml') matchers.append(stack.enter_context(mocker.register_uri( 'GET', 'http://example.com/query/verbosetest', content=verbosetest_callback ))) def useragent_callback(request, context): assert 'User-Agent' in request.headers assert request.headers['User-Agent'] == 'pyVO/{} Python/{} ({})'.format( version, platform.python_version(), platform.system()) return get_pkg_data_contents('data/query/basic.xml') matchers.append(stack.enter_context(mocker.register_uri( 'GET', 'http://example.com/query/useragent', content=useragent_callback ))) yield matchers def _test_results(results): """Regression test result columns for correctnes""" assert len(results) == 3 assert results['1', 0] == 23 assert results['1', 1] == 42 assert results['1', 2] == 1337 truth = 'Illuminatus' assert results['2', 0] == truth truth = "Don't panic, and always carry a towel" assert results['2', 1] == truth truth = 'Elite' assert results['2', 2] == truth def _test_records(records): """ Regression test dal records for correctness""" assert len(records) == 3 assert all([isinstance(record, Record) for record in records]) assert records[0]['1'] == 23 truth = 'Illuminatus' assert records[0]['2'] == truth assert records[1]['1'] == 42 truth = "Don't panic, and always carry a towel" assert records[1]['2'] == truth assert records[2]['1'] == 1337 truth = 'Elite' assert records[2]['2'] == truth @pytest.fixture def url(): return "http://example.com/query/basic" @pytest.fixture def description(): return "An example service." @pytest.fixture def basic_service(url, description): return DALService(url, capability_description=description) @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W06") @pytest.mark.usefixtures('register_mocks') class TestDALService: def test_init(self, url, description, basic_service): """Test if baseurl and description are passed correctly""" assert basic_service.baseurl == url assert basic_service.capability_description == "An example service." def test__repr__(self, basic_service): assert str(basic_service) == (f"DALService(baseurl : '{basic_service.baseurl}'," f" description : '{basic_service.capability_description}')") def test_search(self): """ Test (in conjunction with mocker) that parameters arrive serverside, while also ensuring data consistency """ service = DALService('http://example.com/query/verbosetest') dalresults = service.search(VERBOSE=1) _test_results(dalresults) _test_records(dalresults) def test_useragent(self): service = DALService('http://example.com/query/useragent') service.search() def test_http_exception_404(self): service = DALService('http://example.com/query/nonexistant') try: service.search() except DALServiceError as exc: assert exc.code == 404 else: assert False def test_http_exception_500(self): service = DALService('http://example.com/query/errornous') try: service.search() except DALServiceError as exc: assert exc.code == 500 else: assert False def test_query_exception(self): service = DALService('http://example.com/query/errorstatus') with pytest.raises(DALQueryError): service.search() def test_query_warning(self): service = DALService('http://example.com/query/overflowstatus') with pytest.warns(DALOverflowWarning): service.search() @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W53") def test_format_exception(self): with pytest.raises(DALFormatError): service = DALService('http://example.com/query/missingtable') service.search() with pytest.raises(DALFormatError): service = DALService('http://example.com/query/missingresource') service.search() with pytest.raises(DALFormatError): service = DALService('http://example.com/query/missingcolumns') service.search() @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W06") @pytest.mark.usefixtures('register_mocks') class TestDALQuery: def test_url(self): queries = ( DALQuery('http://example.com/query/basic'), DALQuery(b'http://example.com/query/basic'), ) assert all( q.queryurl == 'http://example.com/query/basic' for q in queries ) def test_params(self): query = DALQuery( 'http://example.com/query/basic', verbose=1, foo='BAR') assert query['VERBOSE'] == 1 assert query['FOO'] == 'BAR' def test_execute(self): query = DALQuery('http://example.com/query/basic') dalresults = query.execute() assert dalresults.queryurl == 'http://example.com/query/basic' _test_results(dalresults) _test_records(dalresults) def test_execute_raw(self): query = DALQuery('http://example.com/query/basic') raw = query.execute_raw() assert raw.startswith(b'') @pytest.mark.filterwarnings('ignore::astropy.io.votable.exceptions.W03') @pytest.mark.filterwarnings('ignore::astropy.io.votable.exceptions.W06') @pytest.mark.usefixtures('register_mocks') class TestDALResults: def test_init(self): dalresults = DALResults.from_result_url( 'http://example.com/query/basic') assert dalresults.queryurl == 'http://example.com/query/basic' assert isinstance(dalresults.votable, VOTableFile) assert isinstance(dalresults.resultstable, TableElement) assert dalresults.fieldnames == ('1', '2') assert ( dalresults.fielddescs[0].name, dalresults.fielddescs[1].name ) == ('1', '2') assert dalresults.status == ('OK', 'OK') def test_from_result_url(self): dalresults = DALResults.from_result_url( 'http://example.com/query/basic') assert dalresults.status == ('OK', 'OK') def test_init_errorstatus(self): with pytest.raises(DALQueryError): DALResults.from_result_url('http://example.com/query/errorstatus') def test_init_overflowstatus(self): with pytest.warns(DALOverflowWarning): DALResults.from_result_url('http://example.com/query/overflowstatus') def test_init_missingtable(self): with pytest.raises(DALFormatError): DALResults.from_result_url('http://example.com/query/missingtable') @pytest.mark.filterwarnings('ignore::astropy.io.votable.exceptions.W53') def test_init_missingresource(self): with pytest.raises(DALFormatError): DALResults.from_result_url( 'http://example.com/query/missingresource') def test_init_missingcolumns(self): with pytest.raises(DALFormatError): DALResults.from_result_url( 'http://example.com/query/missingcolumns') def test_init_firstresource(self): dalresults = DALResults.from_result_url( 'http://example.com/query/firstresource') assert dalresults.status == ('OK', 'OK') def test_init_tableinfo(self): dalresults = DALResults.from_result_url( 'http://example.com/query/tableinfo') assert dalresults.status == ('OK', 'OK') def test_init_rootinfo(self): dalresults = DALResults.from_result_url( 'http://example.com/query/rootinfo') assert dalresults.status == ('OK', 'OK') def test_repr(self): dalresults = DALResults.from_result_url( 'http://example.com/query/basic') assert repr(dalresults)[0:26] == "" def test_iter(self): dalresults = DALResults.from_result_url( 'http://example.com/query/basic') records = list(iter(dalresults)) _test_results(dalresults) _test_records(records) def test_dataconsistency(self): dalresults = DALResults.from_result_url( 'http://example.com/query/basic') assert isinstance(dalresults['1'], np.ndarray) assert isinstance(dalresults['2'], np.ndarray) _test_results(dalresults) _test_records(dalresults) def test_table_conversion(self): dalresults = DALResults.from_result_url( 'http://example.com/query/basic') assert isinstance(dalresults.to_table(), Table) assert isinstance(dalresults.to_qtable(), QTable) assert len(dalresults) == len(dalresults.to_table()) assert len(dalresults) == len(dalresults.to_qtable()) def test_id_over_name(self): dalresults = DALResults.from_result_url( 'http://example.com/query/basic') assert isinstance(dalresults['_1'], np.ndarray) assert isinstance(dalresults['_2'], np.ndarray) table = dalresults.to_table() with pytest.raises(KeyError): assert table['_1'] with pytest.raises(KeyError): assert table['_2'] def test_nosuchcolumn(self): dalresults = DALResults.from_result_url( 'http://example.com/query/basic') with pytest.raises(KeyError): dalresults['nosuchcolumn'] with pytest.raises(KeyError): dalresults.getdesc('nosuchcolumn') def test_columnaliases(self): dalresults = DALResults.from_result_url( 'http://example.com/query/basic') assert dalresults.fieldname_with_ucd('foo') == '1' assert dalresults.fieldname_with_ucd('bar') == '1' assert dalresults.fieldname_with_utype('foobar') == '2' assert dalresults.fieldname_with_ucd('baz') is None assert dalresults.fieldname_with_utype('foobaz') is None def test_check_overflow_warning_no_maxrec(self): with pytest.warns(DALOverflowWarning): dalresults = DALResults.from_result_url('http://example.com/query/overflowstatus') with pytest.warns(DALOverflowWarning, match="Results truncated due to server limits"): dalresults.check_overflow_warning() def test_check_overflow_warning_exact_match(self): with pytest.warns(DALOverflowWarning): dalresults = DALResults.from_result_url('http://example.com/query/overflowstatus') with warnings.catch_warnings(): warnings.simplefilter("error") dalresults.check_overflow_warning(client_set_maxrec=3) def test_check_overflow_warning_service_truncation(self): with pytest.warns(DALOverflowWarning): dalresults = DALResults.from_result_url('http://example.com/query/overflowstatus') with pytest.warns(DALOverflowWarning, match="Results truncated at 3 records by service limits"): dalresults.check_overflow_warning(client_set_maxrec=1000) def test_check_overflow_warning_uses_stored_maxrec(self): with pytest.warns(DALOverflowWarning): dalresults = DALResults.from_result_url('http://example.com/query/overflowstatus') dalresults._client_set_maxrec = 1000 with pytest.warns(DALOverflowWarning, match="Results truncated at 3 records by service limits"): dalresults.check_overflow_warning() def test_check_overflow_warning_parameter_overrides_stored(self): with pytest.warns(DALOverflowWarning): dalresults = DALResults.from_result_url('http://example.com/query/overflowstatus') dalresults._client_set_maxrec = 1000 with warnings.catch_warnings(): warnings.simplefilter("error") dalresults.check_overflow_warning(client_set_maxrec=3) def test_check_overflow_warning_no_overflow_status(self): dalresults = DALResults.from_result_url('http://example.com/query/basic') with warnings.catch_warnings(): warnings.simplefilter("error") dalresults.check_overflow_warning(client_set_maxrec=1000) def test_handle_overflow_warning_default_behavior(self): votable = votableparse(BytesIO(get_pkg_data_contents('data/query/overflowstatus.xml'))) with pytest.warns(DALOverflowWarning, match="Result set limited by user- or server-supplied MAXREC parameter."): _ = DALResults(votable, url='http://test.com') def test_stored_client_set_maxrec_initialization(self): votable = votableparse(BytesIO(get_pkg_data_contents('data/query/basic.xml'))) result = DALResults(votable, url='http://test.com', client_set_maxrec=100) assert result._client_set_maxrec == 100 result2 = DALResults(votable, url='http://test.com') assert result2._client_set_maxrec is None @pytest.mark.filterwarnings('ignore::astropy.io.votable.exceptions.W03') @pytest.mark.filterwarnings('ignore::astropy.io.votable.exceptions.W06') @pytest.mark.usefixtures('register_mocks') class TestRecord: def test_itemaccess(self): record = DALResults.from_result_url( 'http://example.com/query/basic')[0] assert record['1'] == 23 truth = 'Illuminatus' assert record['2'] == truth assert record['_1'] == 23 assert record['_2'] == truth def test_nosuchcolumn(self): record = DALResults.from_result_url( 'http://example.com/query/basic')[0] with pytest.raises(KeyError): record['nosuchcolumn'] def test_iter(self): record = DALResults.from_result_url( 'http://example.com/query/basic')[0] record = list(iter(record)) assert record[0] == '1' assert record[1] == '2' def test_len(self): record = DALResults.from_result_url( 'http://example.com/query/basic')[0] assert len(record) == 2 def test_repr(self): record = DALResults.from_result_url( 'http://example.com/query/basic')[0] truth = 'Illuminatus' assert repr(record) == repr(('23', truth)) def test_get(self): record = DALResults.from_result_url( 'http://example.com/query/basic')[0] assert record.get('2', decode=True) == 'Illuminatus' def test_columnaliases(self): record = DALResults.from_result_url( 'http://example.com/query/basic')[0] assert record.getbyucd('foo') == 23 assert record.getbyucd('bar') == 23 truth = 'Illuminatus' assert record.getbyutype('foobar') == truth record.getbyucd('baz') is None record.getbyutype('foobaz') is None def test_datasets(self): records = DALResults.from_result_url( 'http://example.com/query/dataset') record = records[0] assert record.getdataurl() == 'http://example.com/querydata/image.fits' dataset = record.getdataset() HDUList.fromstring(dataset.read()) def test_nodataset(self): record = DALResults.from_result_url( 'http://example.com/query/basic')[0] assert record.getdataurl() is None with pytest.raises(KeyError): record.getdataset().read() def test_cachedataset(self, tmpdir): tmpdir = str(tmpdir) record = DALResults.from_result_url( 'http://example.com/query/dataset')[0] record.cachedataset(dir=tmpdir) assert "dataset.dat" in listdir(tmpdir) class TestUpload: bytesio = BytesIO(get_pkg_data_contents('data/query/dataset.xml', encoding='binary')) filename = get_pkg_data_filename('data/query/dataset.xml') astropy_table = Table.read(filename) records = DALResults(votableparse(filename)) @pytest.mark.parametrize('content', (bytesio, filename, astropy_table, records)) def test_upload(self, content): upload = Upload('up', content) fileobj = upload.fileobj() assert fileobj fileobj.close() def test_upload_nonfileobj(self): upload = Upload('up', 'some text that is not a resource') with pytest.raises(ValueError): upload.fileobj() astropy-pyvo-b70558c/pyvo/dal/tests/test_scs.py000066400000000000000000000026351510533647000216570ustar00rootroot00000000000000#!/usr/bin/env python # Licensed under a 3-clause BSD style license - see LICENSE.rst """ Tests for pyvo.dal.scs """ from functools import partial import re import pytest from pyvo.dal.scs import search, SCSService from astropy.utils.data import get_pkg_data_contents get_pkg_data_contents = partial( get_pkg_data_contents, package=__package__, encoding='binary') scs_re = re.compile('http://example.com/scs.*') @pytest.fixture() def scs(mocker): def callback(request, context): return get_pkg_data_contents('data/scs/result.xml') with mocker.register_uri( 'GET', scs_re, content=callback ) as matcher: yield matcher @pytest.mark.usefixtures('scs') @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W06") def test_search(): results = search('http://example.com/scs', pos=(78, 2), radius=0.5) assert len(results) == 1273 class TestSCSService: def test_init(self): service = SCSService('http://example.com/scs', capability_description="SCS") assert service.baseurl == 'http://example.com/scs' assert service.capability_description == "SCS" @pytest.mark.usefixtures('scs') @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W06") def test_search(self): service = SCSService('http://example.com/scs') results = service.search(pos=(78, 2), radius=0.5) assert len(results) == 1273 astropy-pyvo-b70558c/pyvo/dal/tests/test_sia.py000066400000000000000000000074771510533647000216540ustar00rootroot00000000000000#!/usr/bin/env python # Licensed under a 3-clause BSD style license - see LICENSE.rst """ Tests for pyvo.dal.sia """ from functools import partial import os import re import pytest from pyvo.dal.sia import search, SIAService, SIAQuery from astropy.io.fits import HDUList from astropy.coordinates import SkyCoord from astropy.utils.data import get_pkg_data_contents get_pkg_data_contents = partial( get_pkg_data_contents, package=__package__, encoding='binary') sia_re = re.compile('http://example.com/sia.*') @pytest.fixture() def register_mocks(mocker): with mocker.register_uri( 'GET', 'http://example.com/querydata/image.fits', content=get_pkg_data_contents('data/querydata/image.fits') ) as matcher: yield matcher @pytest.fixture() def sia(mocker): with mocker.register_uri( 'GET', sia_re, content=get_pkg_data_contents('data/sia/dataset.xml') ) as matcher: yield matcher def _test_result(result): assert result.getdataurl() == 'http://example.com/querydata/image.fits' assert isinstance(result.getdataobj(), HDUList) assert result.filesize == 153280 @pytest.mark.usefixtures('sia') @pytest.mark.usefixtures('register_mocks') @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W06") @pytest.mark.parametrize("position", ((288, 15), SkyCoord(288, 15, unit="deg"))) @pytest.mark.parametrize("format", ("IMAGE/JPEG", "all")) def test_search(position, format): results = search('http://example.com/sia', pos=position, format=format) result = results[0] _test_result(result) class TestSIAService: @pytest.mark.usefixtures('sia') @pytest.mark.usefixtures('register_mocks') @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W06") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W42") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W49") def test_search(self): description = "A SIA service." url = 'http://example.com/sia' service = SIAService(url, capability_description=description) assert service.baseurl == url assert service.capability_description == description results = service.search(pos=(288, 15)) result = results[0] _test_result(result) assert results[1].dateobs is None @pytest.mark.usefixtures('sia') @pytest.mark.usefixtures('register_mocks') @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W06") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W42") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W49") def test_formatter(self): service = SIAQuery('http://example.com/sia') service.format = "image" assert service["FORMAT"] == "image" service.format = "all" assert service["FORMAT"] == "ALL" service.format = "Graphic-png" assert service["FORMAT"] == "GRAPHIC-png" service.format = "Unsupported" assert service["FORMAT"] == "Unsupported" @pytest.mark.usefixtures('sia') class TestNameMaking: def test_slash_replace(self): res = SIAService('http://example.com/sia').search(pos=(288, 15)) res["imageTitle"][0] = "ogsa/dai output" assert res[0].make_dataset_filename() == os.path.join(".", "ogsa_dai_output.fits") def test_default_for_broken_media_type(self): res = SIAService('http://example.com/sia').search(pos=(288, 15)) res["mime"][0] = "application/x-youcannotknowthis" assert res[0].make_dataset_filename() == os.path.join(".", "Test_Observation.dat") def test_default_media_type_adaption(self): res = SIAService('http://example.com/sia').search(pos=(288, 15)) res["mime"][0] = "image/png" assert res[0].make_dataset_filename() == os.path.join(".", "Test_Observation.png") astropy-pyvo-b70558c/pyvo/dal/tests/test_sia2.py000066400000000000000000000236351510533647000217300ustar00rootroot00000000000000#!/usr/bin/env python # Licensed under a 3-clause BSD style license - see LICENSE.rst """ Tests for pyvo.dal.sia """ from functools import partial from pathlib import Path import re import requests_mock import pytest from pyvo.dal.sia2 import search, SIA2Service, SIA2Query, SIAService, SIAQuery from pyvo.dal.exceptions import DALServiceError import astropy.units as u from astropy.coordinates import SkyCoord from astropy.utils.data import get_pkg_data_contents from astropy.utils.exceptions import AstropyDeprecationWarning get_pkg_data_contents = partial( get_pkg_data_contents, package=__package__, encoding='binary') sia_re = re.compile('https://example.com/sia/v2query*') capabilities_url = 'https://example.com/sia/capabilities' @pytest.fixture() def sia(mocker): with mocker.register_uri( 'GET', sia_re, content=get_pkg_data_contents('data/sia2/dataset.xml') ) as matcher: yield matcher @pytest.fixture() def capabilities(mocker): with mocker.register_uri( 'GET', capabilities_url, content=get_pkg_data_contents('data/sia2/capabilities.xml') ) as matcher: yield matcher def _test_result(record): assert record.obs_collection == 'TEST' assert record.obs_id == 'TEST-DATASET' assert record.instrument_name == 'TEST-INSTR' assert record.facility_name == 'TEST-1.6m' @pytest.mark.usefixtures('sia') @pytest.mark.usefixtures('capabilities') @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W06") def test_search(): results = search('https://example.com/sia', pos=(33.3 * u.deg, 4.2 * u.deg, 0.0166 * u.deg)) result = results[0] _test_result(result) class TestSIA2Service: def test_capabilities(self): # this tests the SIA2 capabilities with various combinations: with requests_mock.Mocker() as cm: cm.get('https://example.com/sia/capabilities', content=get_pkg_data_contents('data/sia2/capabilities.xml')) cm.get('https://example.com/sia-basicauth/capabilities', content=get_pkg_data_contents( 'data/sia2/capabilities-basicauth.xml')) cm.get('https://example.com/sia-newformat/capabilities', content=get_pkg_data_contents( 'data/sia2/capabilities-newformat.xml')) cm.get('https://example.com/sia-priv/capabilities', content=get_pkg_data_contents( 'data/sia2/capabilities-priv.xml')), cm.get('https://example.com/sia/myquery/capabilities', content=get_pkg_data_contents('data/sia2/capabilities.xml')) # multiple interfaces with single security method each and # anonymous access. service = SIA2Service('https://example.com/sia') assert service.query_ep == 'https://example.com/sia/v2query' # one interface with multiple security methods service = SIA2Service('https://example.com/sia-newformat') assert service.query_ep == 'https://example.com/sia/v2query' # multiple interfaces with single security method each (no anon) service = SIA2Service('https://example.com/sia-priv') assert service.query_ep == 'https://example.com/sia/v2query' # any access point will be valid even when it contains query params service = SIA2Service('https://example.com/sia/myquery?param=1') assert service.query_ep == 'https://example.com/sia/v2query' # capabilities checking is bypassed all together with the # check_baseurl=False flag service = SIA2Service('https://example.com/sia/myquery?param=1&', check_baseurl=False) assert service.query_ep == 'https://example.com/sia/myquery?param=1' POSITIONS = [(2, 4, 0.0166 * u.deg), (12, 12.5, 34, 36), (12.0 * u.deg, 34.0 * u.deg, 14.0 * u.deg, 35.0 * u.deg, 14.0 * u.deg, 36.0 * u.deg, 12.0 * u.deg, 35.0 * u.deg), (SkyCoord(2, 4, unit='deg'), 0.166 * u.deg)] ERR_POSITIONS = [(SkyCoord(2, 4, unit='deg'), "radius should be provided in the pos tuple"), ((1, 2), "a 2-length pos should be a coordinate and a radius")] @pytest.mark.usefixtures('sia') @pytest.mark.usefixtures('capabilities') @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W06") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W42") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W49") @pytest.mark.parametrize("position", POSITIONS) def test_search_scalar(self, position): service = SIA2Service('https://example.com/sia') results = service.search(pos=position) result = results[0] _test_result(result) @pytest.mark.usefixtures('sia') @pytest.mark.usefixtures('capabilities') @pytest.mark.parametrize(("position", "expected_errmsg"), ERR_POSITIONS) def test_search_scalar_errors(self, position, expected_errmsg): service = SIA2Service('https://example.com/sia') with pytest.raises(ValueError, match=expected_errmsg): service.search(pos=position) @pytest.mark.usefixtures('sia') @pytest.mark.usefixtures('capabilities') def test_search_vector(self, pos=POSITIONS): service = SIA2Service('https://example.com/sia') results = service.search(pos=pos) result = results[0] _test_result(result) @pytest.mark.usefixtures('sia') @pytest.mark.usefixtures('capabilities') def test_search_deprecation(self, pos=POSITIONS): # test the deprecation with pytest.warns(AstropyDeprecationWarning): deprecated_service = SIAService('https://example.com/sia') deprecated_results = deprecated_service.search(pos=pos) result = deprecated_results[0] _test_result(result) class TestSIA2Query(): def test_query(self): query = SIA2Query('someurl') query.field_of_view.add((10, 20)) assert query['FOV'] == ['10.0 20.0'] query.field_of_view.add((1 * u.rad, 60)) assert query['FOV'] == ['10.0 20.0', '57.29577951308232 60.0'] query.spatial_resolution.add((1 * u.arcsec, 2)) assert query['SPATRES'] == ['1.0 2.0'] query.spectral_resolving_power.add((3, 5)) assert query['SPECRP'] == ['3 5'] query.exptime.add((25, 50)) assert query['EXPTIME'] == ['25.0 50.0'] query.timeres.add((1, 3)) assert query['TIMERES'] == ['1.0 3.0'] query.publisher_did.add('ID1') query.publisher_did.add('ID2') assert query['ID'] == ['ID1', 'ID2'] query.facility.add('TEL1') assert query['FACILITY'] == ['TEL1'] query.collection.add('ABC') query.collection.add('EFG') assert query['COLLECTION'] == ['ABC', 'EFG'] query.instrument.add('INST1') assert query['INSTRUMENT'] == ['INST1'] query.data_type.add('TYPEA') assert query['DPTYPE'] == ['TYPEA'] query.calib_level.add(0) query.calib_level.add(1) assert query['CALIB'] == ['0', '1'] query.target_name.add('TARGET1') assert query['TARGET'] == ['TARGET1'] query.res_format.add('pdf') assert query['FORMAT'] == ['pdf'] query.maxrec = 1000 assert query['MAXREC'] == '1000' query = SIA2Query('someurl', custom_param=23) assert query['custom_param'] == ['23'] query['custom_param'].append('-Inf 0') assert query['custom_param'] == ['23', '-Inf 0'] query = SIA2Query('someurl', custom_param=[('-Inf', 0), (2, '+Inf')]) assert query['custom_param'] == ['-Inf 0', '2 +Inf'] with pytest.warns(AstropyDeprecationWarning): deprecated_query = SIAQuery('someurl') deprecated_query.field_of_view.add((10, 20)) assert deprecated_query['FOV'] == ['10.0 20.0'] def test_variable_deprecation(): # Test this while we are in the deprecation period, as the variable is durectly # used at least by astroquery.alma with pytest.warns(AstropyDeprecationWarning): from pyvo.dal.sia2 import SIA_PARAMETERS_DESC assert SIA_PARAMETERS_DESC def test_none_standardid_capability(): """Test that SIA2Service handles capabilities with None standardID.""" # Mock a capabilities response with a None standardID with requests_mock.Mocker() as m: # Mock the capabilities endpoint m.get('http://example.com/sia/capabilities', content=b''' http://example.com/sia/query http://example.com/sia/query ''') # This should not raise an AttributeError sia2_service = SIA2Service('http://example.com/sia') # Basic verification that the service was created successfully assert sia2_service is not None assert sia2_service.query_ep is not None def test_url_is_not_sia2(): # with capabilities from an other service type, we raise an error with open(Path(__file__).parent / "data/tap/capabilities.xml", "rb") as f: with requests_mock.Mocker() as mocker: mocker.get("http://example.com/sia/capabilities", content=f.read()) with pytest.raises(DALServiceError, match="This URL does not seem to correspond to an " "SIA2 service."): SIA2Service('http://example.com/sia') astropy-pyvo-b70558c/pyvo/dal/tests/test_sia2_remote.py000066400000000000000000000221511510533647000232730ustar00rootroot00000000000000#!/usr/bin/env python # Licensed under a 3-clause BSD style license - see LICENSE.rst """ Tests for pyvo.dal.sia2 against remote services """ import pytest import astropy.units as u from astropy.utils.exceptions import AstropyDeprecationWarning from pyvo.dal.sia2 import search, SIA2Service from pyvo.dal.adhoc import DatalinkResults from pyvo import regsearch CADC_SIA_URL = 'https://ws.cadc-ccda.hia-iha.nrc-cnrc.gc.ca/sia' @pytest.mark.remote_data class TestSIACadc(): # Tests the SIA2 client against the CADC SIA service def test_service(self): cadc = SIA2Service(baseurl=CADC_SIA_URL) with pytest.raises(AstropyDeprecationWarning): assert cadc.availability with pytest.raises(AstropyDeprecationWarning): assert cadc.availability.available with pytest.raises(AstropyDeprecationWarning): assert cadc.availability.notes with pytest.raises(AstropyDeprecationWarning): assert cadc.availability.notes[0] == 'service is accepting queries' assert cadc.capabilities @pytest.mark.xfail(reason="https://github.com/astropy/pyvo/issues/361") @pytest.mark.filterwarnings("ignore::pyvo.dal.exceptions.DALOverflowWarning") def test_datalink_batch(self): # Maximum batch size in CADC SIA is around 25 # Test whether multiple batches can be retrieved results = search(CADC_SIA_URL, pos=(2.8425, 74.4846, 10), maxrec=55) ids = [] for i in results.iter_datalinks(): assert i.to_table()[0]['ID'] not in ids ids.append(i.to_table()[0]['ID']) assert len(ids) == 55 @pytest.mark.filterwarnings("ignore::pyvo.dal.exceptions.DALOverflowWarning") def test_pos(self): results = search(CADC_SIA_URL, pos=(2.8425, 74.4846, 0.001)) assert len(results) > 10 # check that results are datalink assert isinstance(results[0].getdataobj(), DatalinkResults) # limit results to 5 to expedite tests results = search(CADC_SIA_URL, pos=(2.8425, 74.4846, 0.001), maxrec=5) assert len(results) == 5 # check attributes of a record record = results[0] record.dataproduct_type record.dataproduct_subtype record.calib_level # TARGET INFO record.target_name record.target_class # DATA DESCRIPTION record.obs_id record.obs_title record.obs_collection record.obs_create_date record.obs_creator_name record.obs_creator_did # CURATION INFORMATION record.obs_release_date record.obs_publisher_did record.publisher_id record.bib_reference record.data_rights # ACCESS INFORMATION record.access_url record.access_format record.access_estsize # SPATIAL CHARACTERISATION record.s_ra record.s_dec record.s_fov record.s_region record.s_resolution record.s_xel1 record.s_xel2 record.s_ucd record.s_unit record.s_resolution_min record.s_resolution_max record.s_calib_status record.s_stat_error record.s_pixel_scale # TIME CHARACTERISATION record.t_xel record.t_ref_pos record.t_min record.t_max record.t_exptime record.t_resolution record.t_calib_status record.t_stat_error # SPECTRAL CHARACTERISATION record.em_xel record.em_ucd record.em_unit record.em_calib_status record.em_min record.em_max record.em_res_power record.em_res_power_min record.em_res_power_max record.em_resolution record.em_stat_error # OBSERVABLE AXIS record.o_ucd record.o_unit record.o_calib_status record.o_stat_error # POLARIZATION CHARACTERISATION record.pol_xel record.pol_states # PROVENANCE record.instrument_name record.facility_name record.proposal_id @pytest.mark.filterwarnings("ignore::pyvo.dal.exceptions.DALOverflowWarning") def test_band(self): results = search(CADC_SIA_URL, band=(0.0002, 0.0003), maxrec=5) # TODO - correctness assert len(results) == 5 @pytest.mark.filterwarnings("ignore::pyvo.dal.exceptions.DALOverflowWarning") def test_time(self): results = search(CADC_SIA_URL, time=('2002-01-01T00:00:00.00', '2002-01-02T00:00:00.00'), maxrec=5) assert len(results) == 5 @pytest.mark.filterwarnings("ignore::pyvo.dal.exceptions.DALOverflowWarning") def test_pol(self): results = search(CADC_SIA_URL, pol=['YY', 'U'], maxrec=5) assert len(results) == 5 for rr in results: assert 'YY' in rr.pol_states or 'U' in rr.pol_states @pytest.mark.filterwarnings("ignore::pyvo.dal.exceptions.DALOverflowWarning") def test_fov(self): results = search(CADC_SIA_URL, field_of_view=(10, 20), collection='TESS', maxrec=5) assert len(results) == 5 # how to test values @pytest.mark.filterwarnings("ignore::pyvo.dal.exceptions.DALOverflowWarning") def test_spatial_res(self): results = search(CADC_SIA_URL, spatial_resolution=(1, 2), collection='MACHO', maxrec=5) assert len(results) == 5 for rr in results: assert 1 * u.arcsec <= rr.s_resolution <= 2 * u.arcsec @pytest.mark.filterwarnings("ignore::pyvo.dal.exceptions.DALOverflowWarning") def test_spec_resp(self): results = search(CADC_SIA_URL, spectral_resolving_power=(1, 2), collection='NEOSSAT', maxrec=5) assert len(results) == 5 for rr in results: assert 1 <= rr.em_res_power <= 2 @pytest.mark.filterwarnings("ignore::pyvo.dal.exceptions.DALOverflowWarning") def test_exptime(self): results = search(CADC_SIA_URL, exptime=(1, 2), collection='GEMINI', maxrec=5) assert len(results) == 5 for rr in results: assert 1 * u.second <= rr.t_exptime <= 2 * u.second @pytest.mark.filterwarnings("ignore::pyvo.dal.exceptions.DALOverflowWarning") def test_timeres(self): results = search(CADC_SIA_URL, timeres=(1, 2), maxrec=5) assert len(results) == 5 for rr in results: assert 1 * u.second <= rr.t_resolution <= 2 * u.second def test_publisher_did(self): ids = ['ivo://cadc.nrc.ca/CFHT?447231/447231o', 'ivo://cadc.nrc.ca/CFHT?447232/447232o'] results = search(CADC_SIA_URL, publisher_did=ids) assert len(results) == 2 assert results[0].obs_publisher_did in ids assert results[1].obs_publisher_did in ids @pytest.mark.filterwarnings("ignore::pyvo.dal.exceptions.DALOverflowWarning") def test_facility(self): results = search(CADC_SIA_URL, facility='JCMT', maxrec=5) assert len(results) == 5 for rr in results: assert rr.facility_name == 'JCMT' @pytest.mark.filterwarnings("ignore::pyvo.dal.exceptions.DALOverflowWarning") def test_collection(self): results = search(CADC_SIA_URL, collection='IRIS', maxrec=5) assert len(results) == 5 for rr in results: assert rr.obs_collection == 'IRIS' @pytest.mark.filterwarnings("ignore::pyvo.dal.exceptions.DALOverflowWarning") def test_instrument(self): results = search(CADC_SIA_URL, instrument='IRAS', maxrec=5) assert len(results) == 5 for rr in results: assert rr.instrument_name == 'IRAS' @pytest.mark.filterwarnings("ignore::pyvo.dal.exceptions.DALOverflowWarning") def test_dataproduct_type(self): results = search(CADC_SIA_URL, data_type='image', maxrec=5) assert len(results) == 5 for rr in results: assert rr.dataproduct_type == 'image' @pytest.mark.filterwarnings("ignore::pyvo.dal.exceptions.DALOverflowWarning") def test_target_name(self): results = search(CADC_SIA_URL, target_name='BarnardStar', collection='NEOSSAT', maxrec=5) assert len(results) == 5 for rr in results: assert rr.target_name == 'BarnardStar' @pytest.mark.filterwarnings("ignore::pyvo.dal.exceptions.DALOverflowWarning") def test_res_format(self): results = search( CADC_SIA_URL, res_format='application/x-votable+xml;content=datalink', maxrec=5) assert len(results) == 5 for rr in results: assert rr.access_format == \ 'application/x-votable+xml;content=datalink' @pytest.mark.filterwarnings("ignore::pyvo.dal.exceptions.DALOverflowWarning") def test_reg_sia2(self): image_services = regsearch(servicetype='sia2') irsa_seip = \ [s for s in image_services if 'irsa' in s.ivoid and 'seip' in s.ivoid][0] result = irsa_seip.search(pos=(31.8425, 77.4846, 0.1), maxrec=1) assert len(result) == 1 astropy-pyvo-b70558c/pyvo/dal/tests/test_sla.py000066400000000000000000000032051510533647000216400ustar00rootroot00000000000000#!/usr/bin/env python # Licensed under a 3-clause BSD style license - see LICENSE.rst """ Tests for pyvo.dal.sla """ from functools import partial import re import pytest from pyvo.dal.sla import search, SLAService from astropy.utils.data import get_pkg_data_contents get_pkg_data_contents = partial( get_pkg_data_contents, package=__package__, encoding='binary') sla_re = re.compile('http://example.com/sla.*') @pytest.fixture() def sla(mocker): with mocker.register_uri( 'GET', sla_re, content=get_pkg_data_contents('data/sla/dataset.xml') ) as matcher: yield matcher @pytest.mark.usefixtures('sla') @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W42") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W49") def test_search(): results = search('http://example.com/sla', wavelength=(7.6e-6, 1.e-5)) assert len(results) == 21 class TestSLAService: def test_service_init(self): url = "http://test" description = "A SLA service." service = SLAService(url, capability_description=description) assert service.baseurl == url assert service.capability_description == description assert str(service) == f"SLAService(baseurl : '{url}', description : '{description}')" @pytest.mark.usefixtures('sla') @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W42") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W49") def test_search(self): service = SLAService('http://example.com/sla') results = service.search(wavelength=(7.6e-6, 1.e-5)) assert len(results) == 21 astropy-pyvo-b70558c/pyvo/dal/tests/test_ssa.py000066400000000000000000000025221510533647000216500ustar00rootroot00000000000000#!/usr/bin/env python # Licensed under a 3-clause BSD style license - see LICENSE.rst """ Tests for pyvo.dal.ssa """ from functools import partial import re import pytest from pyvo.dal.ssa import search, SSAService from astropy.utils.data import get_pkg_data_contents get_pkg_data_contents = partial( get_pkg_data_contents, package=__package__, encoding='binary') ssa_re = re.compile('http://example.com/ssa.*') @pytest.fixture() def ssa(mocker): def callback(request, context): return get_pkg_data_contents('data/ssa/result.xml') with mocker.register_uri( 'GET', ssa_re, content=callback ) as matcher: yield matcher @pytest.mark.usefixtures('ssa') @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W42") def test_search(): results = search('http://example.com/ssa', pos=(0.0, 0.0), diameter=1.0) assert len(results) == 36 class TestSSAService: @pytest.mark.usefixtures('ssa') @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W42") def test_search(self): service = SSAService('http://example.com/ssa') assert str(service) == "SSAService(baseurl : 'http://example.com/ssa', description : 'None')" results = service.search(pos=(0.0, 0.0), diameter=1.0) assert len(results) == 36 assert results[35].dateobs is None astropy-pyvo-b70558c/pyvo/dal/tests/test_tap.py000066400000000000000000001746451510533647000216660ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ Tests for pyvo.dal.tap """ import warnings from functools import partial from contextlib import ExitStack import datetime import re from io import BytesIO, StringIO from unittest.mock import Mock from urllib.parse import parse_qsl import tempfile import pytest import requests import requests_mock from pyvo.dal.tap import escape, search, AsyncTAPJob, TAPService from pyvo.dal import DALQueryError, DALServiceError, DALOverflowWarning from pyvo.io.uws import JobFile from pyvo.io.uws.tree import Parameter, Result, ErrorSummary, Message from pyvo.io.vosi.exceptions import VOSIError from pyvo.utils import prototype from astropy.time import Time, TimeDelta from astropy.utils.data import get_pkg_data_contents get_pkg_data_contents = partial( get_pkg_data_contents, package=__package__, encoding='binary') job_re_path_full = re.compile('^http://example.com/tap/async/([0-9]+)') job_re_path = re.compile('^/tap/async/([0-9]+)') job_re_phase_full = re.compile('^http://example.com/tap/async/([0-9]+)/phase') job_re_parameters_full = re.compile( '^http://example.com/tap/async/([0-9]+)/parameters') job_re_result_full = re.compile( '^http://example.com/tap/async/([0-9]+)/results/result') def _test_image_results(results): assert len(results) == 10 @pytest.fixture() def sync_fixture(mocker): def callback(request, context): return get_pkg_data_contents('data/tap/obscore-image.xml') with mocker.register_uri( 'POST', 'http://example.com/tap/sync', content=callback ) as matcher: yield matcher @pytest.fixture() def create_fixture(mocker): def match_request(request): data = request.text.read() if b'VOSITable' in data: assert request.headers['Content-Type'] == 'text/xml', 'Wrong file format' elif b'VOTable' in data: assert request.headers['Content-Type'] == \ 'application/x-votable+xml', 'Wrong file format' else: assert False, 'BUG' return True with mocker.register_uri( 'PUT', 'https://example.com/tap/tables/abc', additional_matcher=match_request, status_code=201 ) as matcher: yield matcher @pytest.fixture() def delete_fixture(mocker): with mocker.register_uri( 'DELETE', 'https://example.com/tap/tables/abc', status_code=200, ) as matcher: yield matcher @pytest.fixture() def load_fixture(mocker): def match_request(request): data = request.text.read() if b',' in data: assert request.headers['Content-Type'] == 'text/csv', 'Wrong file format' elif b'\t' in data: assert request.headers['Content-Type'] == \ 'text/tab-separated-values', 'Wrong file format' elif b'FITSTable' in data: assert request.headers['Content-Type'] == \ 'application/fits', 'Wrong file format' else: assert False, 'BUG' return True with mocker.register_uri( 'POST', 'https://example.com/tap/load/abc', additional_matcher=match_request, status_code=200, ) as matcher: yield matcher def get_index_job(phase): return """ v3njuz4k1ebpdb5q user {} 2021-10-29T17:34:19.638 2021-10-28T17:34:19.638 14400 2021-11-04T17:34:19.638 article cadcauthtest1.pyvoTestTable true """.format(phase).encode('utf-8') @pytest.fixture() def overflow_fixture(mocker): """Mock TAP service that returns overflow status with exactly 10 records""" def callback(request, context): votable_content = ''' Result truncated due to MAXREC ''' + ''.join(f'' for i in range(10)) + '''
{i}test{i}
 ''' return votable_content.encode('utf-8') with mocker.register_uri( 'POST', 'http://example.com/tap/sync', content=callback ) as matcher: yield matcher class MockAsyncTAPServer: def __init__(self): self._jobs = dict() def validator(self, request): data = dict(parse_qsl(request.body)) if 'QUERY' in data: if "select" not in data['QUERY'].casefold(): raise DALQueryError("Missing select") def use(self, mocker): with ExitStack() as stack: matchers = { 'create': stack.enter_context(mocker.register_uri( 'POST', 'http://example.com/tap/async', content=self.create )), 'job': stack.enter_context(mocker.register_uri( requests_mock.ANY, job_re_path_full, content=self.job )), 'phase': stack.enter_context(mocker.register_uri( requests_mock.ANY, job_re_phase_full, content=self.phase )), 'parameters': stack.enter_context(mocker.register_uri( requests_mock.ANY, job_re_parameters_full, content=self.parameters )), 'result': stack.enter_context(mocker.register_uri( 'GET', job_re_result_full, content=self.result )), 'get_job': stack.enter_context(mocker.register_uri( 'GET', 'http://example.com/tap/async/111', content=self.get_job )), 'get_job_list': stack.enter_context(mocker.register_uri( 'GET', 'http://example.com/tap/async', content=self.get_job_list )) } yield matchers def create(self, request, context): if request.method == 'GET': return self.get_job_list(request, context) self.validator(request) newid = max(list(self._jobs.keys()) or [0]) + 1 data = dict(parse_qsl(request.body)) job = JobFile() job.version = "1.1" job.jobid = newid if 'test_erroneus_submit.non_existent' in request.text: job.phase = 'ERROR' job._errorsummary = ErrorSummary() job.errorsummary.message = Message() job.errorsummary.message.content =\ 'test_erroneus_submit.non_existent not found' else: job.phase = 'PENDING' job.quote = Time.now() + TimeDelta(1, format='sec') job.creationtime = Time.now() job.executionduration = TimeDelta(3600, format='sec') job.destruction = Time.now() + TimeDelta(3600, format='sec') for key, value in data.items(): param = Parameter(id=key) param.content = value job.parameters.append(param) context.status_code = 303 context.reason = 'See other' context.headers['Location'] = ( f'http://example.com/tap/async/{newid}') self._jobs[newid] = job def job(self, request, context): self.validator(request) jobid = int(job_re_path.match(request.path).group(1)) if request.method == 'GET': job = self._jobs[jobid] io = BytesIO() job.to_xml(io) return io.getvalue() elif request.method == 'POST': data = dict(parse_qsl(request.body)) action = data.get('ACTION') if action == 'DELETE': del self._jobs[jobid] def phase(self, request, context): self.validator(request) jobid = int(job_re_path.match(request.path).group(1)) if request.method == 'GET': phase = self._jobs[jobid].phase return phase elif request.method == 'POST': newphase = request.body.split('=')[-1] job = self._jobs[jobid] result = get_pkg_data_contents('data/tap/obscore-image.xml') if newphase == 'RUN': newphase = 'COMPLETED' result = Result(**{ 'id': 'result', 'size': len(result), 'mime-type': 'application/x-votable+xml', 'xlink:href': ( 'http://example.com/tap/async/{}/results/result' ).format(jobid) }) try: job.results[0] = result except (IndexError, TypeError): job.results.append(result) job.phase = newphase def parameters(self, request, context): self.validator(request) jobid = int(job_re_path.match(request.path).group(1)) job = self._jobs[jobid] if request.method == 'GET': pass elif request.method == 'POST': data = dict(parse_qsl(request.body)) if 'QUERY' in data: assert data['QUERY'] == 'SELECT TOP 42 * FROM ivoa.obsCore' for param in job.parameters: if param.id_.lower() == 'query': param.content = data['QUERY'] if 'UPLOAD' in data: for param in job.parameters: if param.id_.lower() == 'upload': uploads1 = {data[0]: data[1] for data in [ data.split(',') for data in data['UPLOAD'].split(';') ]} uploads2 = {data[0]: data[1] for data in [ data.split(',') for data in param.content.split(';') ]} uploads1.update(uploads2) param.content = ';'.join([ f'{key}={value}' for key, value in uploads1.items() ]) def result(self, request, context): self.validator(request) return get_pkg_data_contents('data/tap/obscore-image.xml') def get_job(self, request, context): self.validator(request) jobid = int(job_re_path.match(request.path).group(1)) job = JobFile() job.jobid = jobid job.phase = 'EXECUTING' job.ownerid = '222' job.creationtime = Time.now() io = BytesIO() job.to_xml(io) return io.getvalue() def _get_jobref_rep(self, jobid, phase, runid, ownerid, creation_time): doc = (' \n' ' {}\n' ' {}\n' ' {}\n' ' {}\n' ' \n') return doc.format(jobid, phase, runid, ownerid, creation_time) def get_job_list(self, request, context): self.validator(request) fields = parse_qsl(request.query) phases = [] last = None after = None for arg, val in fields: if arg == 'PHASE': phases.append(val) elif arg == 'LAST': last = int(val) elif arg == 'AFTER': after = val doc = '\n' +\ '\n' if phases: doc += self._get_jobref_rep('abc1', 'EXECUTING', 'def1', '21', '2018-12-20T00:23:15.79') doc += self._get_jobref_rep('abc2', 'EXECUTING', 'def2', '21', '2018-12-20T00:23:15.79') if after: doc += self._get_jobref_rep('abc3', 'EXECUTING', 'def3', '21', '2018-12-20T00:23:15.79') if last: doc += self._get_jobref_rep('abc4', 'EXECUTING', 'def4', '21', '2018-12-20T00:23:15.79') doc += self._get_jobref_rep('abc5', 'EXECUTING', 'def5', '21', '2018-12-20T00:23:15.79') doc += self._get_jobref_rep('abc6', 'EXECUTING', 'def6', '21', '2018-12-20T00:23:15.79') doc += '' return doc.encode('UTF-8') @pytest.fixture() def async_fixture(mocker): mock_server = MockAsyncTAPServer() yield from mock_server.use(mocker) @pytest.fixture() def async_fixture_with_timeout(mocker): mock_server = MockAsyncTAPServer() yield from mock_server.use(mocker) @pytest.fixture() def tables(mocker): def callback_tables(request, context): return get_pkg_data_contents('data/tap/tables.xml') def callback_table1(request, context): return get_pkg_data_contents('data/tap/lazy-table1.xml') def callback_table2(request, context): return get_pkg_data_contents('data/tap/lazy-table2.xml') with ExitStack() as stack: matchers = { 'tables': stack.enter_context(mocker.register_uri( 'GET', 'http://example.com/tap/tables', content=callback_tables )), 'table1': stack.enter_context(mocker.register_uri( 'GET', 'http://example.com/tap/tables/test.table1', content=callback_table1 )), 'table2': stack.enter_context(mocker.register_uri( 'GET', 'http://example.com/tap/tables/test.table2', content=callback_table2 )), } yield matchers @pytest.fixture() def examples(mocker): def callback_examplesXHTML(request, context): uri = f"://{request.netloc}{request.path}" if uri == '://example.com/tap/examples': return get_pkg_data_contents('data/tap/examples.htm') elif uri == '://example.org/obscore-examples.html': return get_pkg_data_contents('data/tap/obscore-examples.html') else: assert False, f"Unexpected examples URI: {uri}" with mocker.register_uri( 'GET', requests_mock.ANY, content=callback_examplesXHTML ) as matcher: yield matcher @pytest.fixture() def capabilities(mocker): def callback(request, context): return get_pkg_data_contents('data/tap/capabilities.xml') with mocker.register_uri( 'GET', 'http://example.com/tap/capabilities', content=callback ) as matcher: yield matcher @pytest.fixture() def tapservice(capabilities): """ preferably use this fixture when you need a generic TAP service; it saves a bit of parsing overhead. (but of course make sure you don't modify it). """ return TAPService('http://example.com/tap') def test_escape(): query = 'SELECT * FROM ivoa.obscore WHERE dataproduct_type = {}' query = query.format(escape("'image'")) assert query == ( "SELECT * FROM ivoa.obscore WHERE dataproduct_type = ''image''") @pytest.mark.usefixtures('sync_fixture') @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W27") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W48") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W06") def test_search(): results = search('http://example.com/tap', "SELECT * FROM ivoa.obscore") _test_image_results(results) class TestTAPService: def test_init(self): url = 'http://example.com/tap' description = "An example TAP service." service = TAPService(url, capability_description=description) assert service.baseurl == url assert service.capability_description == description assert str(service) == f"""TAPService(baseurl : '{url}', description : '{description}')""" def _test_tables(self, table1, table2): assert table1.description == 'Lazy Test Table 1' assert table1.title == 'Test table 1' assert table2.description == 'Lazy Test Table 2' assert table2.title == 'Test table 2' @pytest.mark.usefixtures('tables') def test_tables(self): service = TAPService('http://example.com/tap') vositables = service.tables assert list(vositables.keys()) == ['test.table1', 'test.table2'] assert "test.table1" in vositables assert "any.random.stuff" not in vositables table1, table2 = list(vositables) self._test_tables(table1, table2) def _test_examples(self, parsed_examples): assert len(parsed_examples) == 6 assert "SELECT * FROM rosmaster" in parsed_examples[0]['QUERY'] # the last query is from the continuation assert parsed_examples[-1]['QUERY'].startswith( "\nSELECT access_url, t_exptime, t_min FROM ivoa.obscore") @pytest.mark.usefixtures('examples') def test_examples(self): service = TAPService('http://example.com/tap') service_examples = service.examples self._test_examples(service_examples) @pytest.mark.usefixtures('capabilities') def test_maxrec(self): service = TAPService('http://example.com/tap') assert service.maxrec == 20000 @pytest.mark.usefixtures('capabilities') def test_hardlimit(self): service = TAPService('http://example.com/tap') assert service.hardlimit == 10000000 @pytest.mark.usefixtures('capabilities') def test_upload_methods(self): service = TAPService('http://example.com/tap') upload_methods = service.upload_methods assert upload_methods[0].ivo_id == ( 'ivo://ivoa.net/std/TAPRegExt#upload-https') assert upload_methods[1].ivo_id == ( 'ivo://ivoa.net/std/TAPRegExt#upload-ftp') assert upload_methods[2].ivo_id == ( 'ivo://ivoa.net/std/TAPRegExt#upload-inline') assert upload_methods[3].ivo_id == ( 'ivo://ivoa.net/std/TAPRegExt#upload-http') @pytest.mark.usefixtures('sync_fixture') @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W27") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W48") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W06") def test_run_sync(self): service = TAPService('http://example.com/tap') results = service.run_sync("SELECT * FROM ivoa.obscore") _test_image_results(results) @pytest.mark.usefixtures('sync_fixture') @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W27") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W48") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W06") def test_search(self): service = TAPService('http://example.com/tap') results = service.search("SELECT * FROM ivoa.obscore") _test_image_results(results) @pytest.mark.usefixtures('async_fixture') @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W27") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W48") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W06") def test_run_async(self, monkeypatch): service = TAPService('http://example.com/tap') mock_delete = Mock() monkeypatch.setattr(AsyncTAPJob, "delete", mock_delete) results = service.run_async("SELECT * FROM ivoa.obscore", delete=False) _test_image_results(results) # make sure that delete was not called mock_delete.assert_not_called() @pytest.mark.usefixtures('async_fixture') @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W27") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W48") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W06") def test_run_async_on_error(self, monkeypatch): service = TAPService('http://example.com/tap') mock_delete = Mock() monkeypatch.setattr(AsyncTAPJob, "delete", mock_delete) with pytest.raises(DALQueryError): service.run_async("bad query", delete=True) # make sure that the job is deleted even with a bad query mock_delete.assert_called_once() @pytest.mark.usefixtures('async_fixture') def test_submit_job(self): service = TAPService('http://example.com/tap') job = service.submit_job("SELECT * FROM ivoa.obscore") assert job.url == 'http://example.com/tap/async/' + job.job_id assert job.phase == 'PENDING' assert job.execution_duration == TimeDelta(3600, format='sec') assert isinstance(job.destruction, Time) assert isinstance(job.quote, Time) assert job.query == "SELECT * FROM ivoa.obscore" job.run() job.wait() job.delete() @pytest.mark.usefixtures('async_fixture') def test_erroneus_submit_job(self): service = TAPService('http://example.com/tap') job = service.submit_job( "SELECT * FROM test_erroneus_submit.non_existent") with pytest.raises(DALQueryError) as e: job.raise_if_error() assert 'test_erroneus_submit.non_existent not found' in str(e) @pytest.mark.usefixtures('async_fixture') def test_submit_job_case(self): """Test using mixed case in the QUERY parameter to a job. DALI requires that query parameter names be case-insensitive, and some TAP servers reflect the input case into the job record, so the TAP client has to be prepared for any case for the QUERY parameter name. """ service = TAPService('http://example.com/tap') # This has to be tested manually, bypassing the normal client layer, # in order to force a mixed-case parameter name. response = service._session.post( "http://example.com/tap/async", data={ "REQUEST": "doQuery", "LANG": "ADQL", "quERy": "SELECT * FROM ivoa.obscore", } ) response.raw.read = partial(response.raw.read, decode_content=True) job = AsyncTAPJob(response.url, session=service._session) assert job.url == 'http://example.com/tap/async/' + job.job_id assert job.query == "SELECT * FROM ivoa.obscore" @pytest.mark.usefixtures('async_fixture') def test_modify_job(self): service = TAPService('http://example.com/tap') job = service.submit_job( "SELECT * FROM ivoa.obscore", uploads={ 'one': 'http://example.com/uploads/one' }) job.query = "SELECT TOP 42 * FROM ivoa.obsCore" job.upload(two='http://example.com/uploads/two') for parameter in job._job.parameters: if parameter.id_ == 'query': assert parameter.content == 'SELECT TOP 42 * FROM ivoa.obsCore' break elif parameter.id_ == 'upload': assert ( 'one=http://example.com/uploads/one' in parameter.content) assert ( 'two=http://example.com/uploads/two' in parameter.content) @pytest.mark.usefixtures('async_fixture') def test_get_job(self): service = TAPService('http://example.com/tap') job = service.get_job('111') assert job.jobid == '111' assert job.phase == 'EXECUTING' assert job.ownerid == '222' @pytest.mark.usefixtures('async_fixture') @pytest.mark.remote_data def test_get_job_list(self): service = TAPService('http://example.com/tap') # server returns: # - 3 jobs for last atribute # - 2 jobs for phase attribute # - 1 job for after attribute # Tests consists in counting the cumulative number of jobs as per # above rules after = datetime.datetime.now(tz=datetime.timezone.utc) assert len(service.get_job_list()) == 0 assert len(service.get_job_list(last=3)) == 3 assert len(service.get_job_list(after='2018-04-25T17:46:01Z')) == 1 assert len(service.get_job_list(phases=['EXECUTING'])) == 2 assert len(service.get_job_list(after=after, phases=['EXECUTING'])) == 3 assert len(service.get_job_list(after='2018-04-25T17:46:01.123Z', last=3)) == 4 assert len(service.get_job_list(phases=['EXECUTING'], last=3)) == 5 assert len(service.get_job_list(phases=['EXECUTING'], last=3, after=datetime.datetime.now(tz=datetime.timezone.utc))) == 6 @pytest.mark.usefixtures('create_fixture') def test_create_table(self): prototype.activate_features('cadc-tb-upload') try: buffer = BytesIO(b'table definition in VOSITable format') service = TAPService('https://example.com/tap') service.create_table(name='abc', definition=buffer) tmpfile = tempfile.NamedTemporaryFile('w+b', delete=False) tmpfile.write(b'table definition in VOTable format here') tmpfile.close() with open(tmpfile.name, 'rb') as f: service.create_table('abc', definition=f, format='VOTable') with pytest.raises(ValueError): service.create_table('abc', definition=buffer, format='Unknown') with pytest.raises(ValueError): service.create_table('abc', definition=None, format='VOSITable') finally: prototype.deactivate_features('cadc-tb-upload') @pytest.mark.usefixtures('delete_fixture') def test_remove_table(self): prototype.activate_features('cadc-tb-upload') try: service = TAPService('https://example.com/tap') service.remove_table(name='abc') finally: prototype.deactivate_features('cadc-tb-upload') @pytest.mark.usefixtures('load_fixture') def test_load_table(self): # csv content in buffer prototype.activate_features('cadc-tb-upload') try: service = TAPService('https://example.com/tap') table_content = BytesIO(b'article,count\nart1,1\nart2,2\nart3,3') service.load_table(name='abc', source=table_content, format='csv') # tsv content in file tmpfile = tempfile.NamedTemporaryFile('w+b', delete=False) tmpfile.write(b'article\tcount\nart1\t1\nart2\t2\nart3\t3') tmpfile.close() with open(tmpfile.name, 'rb') as f: service.load_table('abc', source=f, format='tsv') # FITSTable content in file tmpfile = tempfile.NamedTemporaryFile('w+b', delete=False) tmpfile.write(b'FITSTable content here') tmpfile.close() with open(tmpfile.name, 'rb') as f: service.load_table('abc', source=f, format='FITSTable') with pytest.raises(ValueError): service.load_table('abc', source=table_content, format='Unknown') with pytest.raises(ValueError): service.load_table('abc', source=None, format='tsv') finally: prototype.deactivate_features('cadc-tb-upload') def test_create_index(self): prototype.activate_features('cadc-tb-upload') try: service = TAPService('https://example.com/tap') def match_request_text(request): # check details of index are present return 'table=abc&index=col1&unique=true' in request.text with requests_mock.Mocker() as rm: # mock initial post to table-update and the subsequent calls to # get, run and check status of the job rm.post('https://example.com/tap/table-update', additional_matcher=match_request_text, status_code=303, headers={'Location': 'https://example.com/tap/uws'}) rm.get('https://example.com/tap/uws', [{'content': get_index_job("PENDING")}, {'content': get_index_job("COMPLETED")}]) rm.post('https://example.com/tap/uws/phase', status_code=200) # finally the call service.create_index(table_name='abc', column_name='col1', unique=True) # test wrong return status code with requests_mock.Mocker() as rm: # mock initial post to table-update and the subsequent calls to # get, run and check status of the job rm.post('https://example.com/tap/table-update', additional_matcher=match_request_text, status_code=200, # NOT EXPECTED! headers={'Location': 'https://example.com/tap/uws'}) with pytest.raises(RuntimeError): service.create_index(table_name='abc', column_name='col1', unique=True) finally: prototype.deactivate_features('cadc-tb-upload') @pytest.mark.usefixtures('async_fixture') def test_job_no_result(self): service = TAPService('http://example.com/tap') job = service.submit_job("SELECT * FROM ivoa.obscore") with pytest.raises(DALServiceError) as excinfo: job.fetch_result() assert "No result URI available" in str(excinfo.value) job.delete() @pytest.mark.usefixtures('async_fixture') def test_fetch_result_network_error(self): service = TAPService('http://example.com/tap') job = service.submit_job("SELECT * FROM ivoa.obscore") job.run() job.wait() status_response = ''' 1 COMPLETED ''' with requests_mock.Mocker() as rm: rm.get(f'http://example.com/tap/async/{job.job_id}', text=status_response) rm.get( f'http://example.com/tap/async/{job.job_id}/results/result', exc=requests.exceptions.ConnectTimeout ) with pytest.raises(DALServiceError) as excinfo: job.fetch_result() assert "Unknown service error" in str(excinfo.value) job.delete() @pytest.mark.usefixtures('async_fixture') def test_job_no_result_uri(self): status_response = ''' 1 COMPLETED ''' service = TAPService('http://example.com/tap') job = service.submit_job("SELECT * FROM ivoa.obscore") job.run() job.wait() with requests_mock.Mocker() as rm: rm.get(f'http://example.com/tap/async/{job.job_id}', text=status_response) job._update() with pytest.raises(DALServiceError) as excinfo: job.fetch_result() assert "No result URI available" in str(excinfo.value) job.delete() @pytest.mark.usefixtures('async_fixture') def test_job_with_empty_error(self): error_response = ''' 1 ERROR ''' service = TAPService('http://example.com/tap') job = service.submit_job("SELECT * FROM ivoa.obscore") job.run() job.wait() with requests_mock.Mocker() as rm: rm.get(f'http://example.com/tap/async/{job.job_id}', text=error_response) job._update() with pytest.raises(DALQueryError) as excinfo: job.fetch_result() assert "" in str(excinfo.value) @pytest.mark.usefixtures('async_fixture') def test_endpoint_503_with_retry_after(self): service = TAPService('http://example.com/tap') with requests_mock.Mocker() as rm: rm.get('http://example.com/tap/capabilities', status_code=503, headers={'Retry-After': '30'}, text='Service temporarily unavailable') rm.get('http://example.com/capabilities', status_code=404) with pytest.raises(DALServiceError) as excinfo: service._get_endpoint('capabilities') error_msg = str(excinfo.value) assert "503 Service Unavailable (Retry-After: 30)" in error_msg assert "404 Not Found" in error_msg @pytest.mark.usefixtures('async_fixture') def test_endpoint_case_insensitive_retry_after(self): service = TAPService('http://example.com/tap') with requests_mock.Mocker() as rm: rm.get('http://example.com/tap/capabilities', status_code=503, headers={'RETRY-AFTER': '60'}, text='Service temporarily unavailable') rm.get('http://example.com/capabilities', status_code=404) with pytest.raises(DALServiceError) as excinfo: service._get_endpoint('capabilities') error_msg = str(excinfo.value) assert "503 Service Unavailable (Retry-After: 60)" in error_msg @pytest.mark.usefixtures('async_fixture') def test_endpoint_stops_on_server_error(self): service = TAPService('http://example.com/tap') with requests_mock.Mocker() as rm: first_url = rm.get('http://example.com/tap/capabilities', status_code=500, text='Internal Server Error') second_url = rm.get('http://example.com/capabilities', text='Success') with pytest.raises(DALServiceError) as excinfo: service._get_endpoint('capabilities') assert first_url.call_count == 1 assert second_url.call_count == 0 error_msg = str(excinfo.value) assert "HTTP Code: 500" in error_msg @pytest.mark.usefixtures('async_fixture') def test_job_result_with_non_standard_id(self): """Test fix for Github issue https://github.com/astropy/pyvo/issues/670""" status_response = ''' 1 COMPLETED ''' service = TAPService('http://example.com/tap') job = service.submit_job("SELECT * FROM ivoa.obscore") with requests_mock.Mocker() as rm: rm.get(f'http://example.com/tap/async/{job.job_id}', text=status_response) job._update() result = job.result assert result is not None assert result.id_ == "main" assert result.href.endswith("results/result") @pytest.mark.usefixtures('async_fixture') def test_job_result_fallback_to_id_based_lookup(self): status_response = ''' 1 COMPLETED ''' service = TAPService('http://example.com/tap') job = service.submit_job("SELECT * FROM ivoa.obscore") with requests_mock.Mocker() as rm: rm.get(f'http://example.com/tap/async/{job.job_id}', text=status_response) job._update() result = job.result assert result is not None assert result.id_ == "result" assert not result.href.endswith("results/result") @pytest.mark.usefixtures('async_fixture') def test_job_result_multiple_results(self): """Test that standard URL structure is preferred when multiple results exist.""" status_response = ''' 1 COMPLETED ''' # Check that we return the /results/result URL if it exists service = TAPService('http://example.com/tap') job = service.submit_job("SELECT * FROM ivoa.obscore") with requests_mock.Mocker() as rm: rm.get(f'http://example.com/tap/async/{job.job_id}', text=status_response) job._update() result = job.result assert result is not None assert result.id_ == "main" assert result.href.endswith("results/result") @pytest.mark.usefixtures('async_fixture') def test_job_result_empty_href(self): status_response = ''' 1 COMPLETED ''' service = TAPService('http://example.com/tap') job = service.submit_job("SELECT * FROM ivoa.obscore") with requests_mock.Mocker() as rm: rm.get(f'http://example.com/tap/async/{job.job_id}', text=status_response) job._update() result = job.result assert result is None @pytest.mark.usefixtures('async_fixture') def test_job_result_handles_attribute_error(self): service = TAPService('http://example.com/tap') job = service.submit_job("SELECT * FROM ivoa.obscore") job._job = None result = job.result assert result is None @pytest.mark.usefixtures('async_fixture') def test_job_result_handles_malformed_results(self): service = TAPService('http://example.com/tap') job = service.submit_job("SELECT * FROM ivoa.obscore") mock_result = Mock() del mock_result.href mock_job = Mock() mock_job.results = [mock_result] job._job = mock_job result = job.result assert result is None @pytest.mark.usefixtures('async_fixture') @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W27") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W48") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W06") def test_fetch_result_retry_connection_error(self): service = TAPService('http://example.com/tap') job = service.submit_job("SELECT * FROM ivoa.obscore") job.run() job.wait() status_response = ''' 1 COMPLETED ''' with requests_mock.Mocker() as rm: rm.get(f'http://example.com/tap/async/{job.job_id}', text=status_response) call_count = 0 def response_callback(request, context): nonlocal call_count call_count += 1 if call_count <= 2: raise requests.exceptions.ConnectionError() else: return get_pkg_data_contents('data/tap/obscore-image.xml') rm.get( f'http://example.com/tap/async/{job.job_id}/results/result', content=response_callback ) result = job.fetch_result(max_retries=2) assert len(result) == 10 assert call_count == 3 job.delete() @pytest.mark.usefixtures('async_fixture') @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W27") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W48") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W06") def test_fetch_result_retry_timeout_error(self): service = TAPService('http://example.com/tap') job = service.submit_job("SELECT * FROM ivoa.obscore") job.run() job.wait() status_response = ''' 1 COMPLETED ''' with requests_mock.Mocker() as rm: rm.get(f'http://example.com/tap/async/{job.job_id}', text=status_response) call_count = 0 def response_callback(request, context): nonlocal call_count call_count += 1 if call_count == 1: raise requests.exceptions.Timeout() else: return get_pkg_data_contents('data/tap/obscore-image.xml') rm.get( f'http://example.com/tap/async/{job.job_id}/results/result', content=response_callback ) result = job.fetch_result(max_retries=1) assert len(result) == 10 assert call_count == 2 job.delete() @pytest.mark.usefixtures('async_fixture') def test_fetch_result_no_retry_on_http_error(self): service = TAPService('http://example.com/tap') job = service.submit_job("SELECT * FROM ivoa.obscore") job.run() job.wait() status_response = ''' 1 COMPLETED ''' with requests_mock.Mocker() as rm: rm.get(f'http://example.com/tap/async/{job.job_id}', text=status_response) rm.get( f'http://example.com/tap/async/{job.job_id}/results/result', status_code=404 ) with pytest.raises(DALServiceError): job.fetch_result(max_retries=2) job.delete() @pytest.mark.usefixtures('async_fixture') def test_fetch_result_retry_exhausted(self): service = TAPService('http://example.com/tap') job = service.submit_job("SELECT * FROM ivoa.obscore") job.run() job.wait() status_response = ''' 1 COMPLETED ''' with requests_mock.Mocker() as rm: rm.get(f'http://example.com/tap/async/{job.job_id}', text=status_response) rm.get( f'http://example.com/tap/async/{job.job_id}/results/result', exc=requests.exceptions.ConnectionError() ) with pytest.raises(DALServiceError): job.fetch_result(max_retries=2) job.delete() @pytest.mark.usefixtures('async_fixture') def test_fetch_result_default_no_retry(self): service = TAPService('http://example.com/tap') job = service.submit_job("SELECT * FROM ivoa.obscore") job.run() job.wait() status_response = ''' 1 COMPLETED ''' with requests_mock.Mocker() as rm: rm.get(f'http://example.com/tap/async/{job.job_id}', text=status_response) rm.get( f'http://example.com/tap/async/{job.job_id}/results/result', exc=requests.exceptions.ConnectionError() ) with pytest.raises(DALServiceError): job.fetch_result() job.delete() @pytest.mark.usefixtures("tapservice") class TestTAPCapabilities: def test_no_tap_cap(self): svc = TAPService('http://example.com/tap') svc.capabilities = [] with pytest.raises(DALServiceError) as excinfo: svc.get_tap_capability() assert str(excinfo.value) == ("Invalid TAP service:" " Does not expose a tr:TableAccess capability") def test_no_adql(self): svc = TAPService('http://example.com/tap') svc.get_tap_capability()._languages = [] with pytest.raises(VOSIError) as excinfo: svc.get_tap_capability().get_adql() assert str(excinfo.value) == ("Invalid TAP service:" " Does not declare an ADQL language") def test_get_adql(self, tapservice): assert tapservice.get_tap_capability().get_adql().name == "ADQL" def test_missing_featurelist(self, tapservice): assert ( tapservice.get_tap_capability().get_adql().get_feature_list("fump") == []) def test_get_featurelist(self, tapservice): features = tapservice.get_tap_capability().get_adql().get_feature_list( "ivo://ivoa.net/std/TAPRegExt#features-adqlgeo") assert {f.form for f in features} == { 'CENTROID', 'CONTAINS', 'COORD1', 'POLYGON', 'INTERSECTS', 'COORD2', 'BOX', 'AREA', 'DISTANCE', 'REGION', 'CIRCLE', 'POINT'} def test_get_missing_feature(self, tapservice): assert tapservice.get_tap_capability().get_adql().get_feature( "ivo://ivoa.net/std/TAPRegExt#features-adqlgeo", "Garage") is None def test_get_feature(self, tapservice): feature = tapservice.get_tap_capability().get_adql().get_feature( "ivo://ivoa.net/std/TAPRegExt#features-adqlgeo", "AREA") assert feature.form == "AREA" assert feature.description is None def test_missing_udf(self, tapservice): assert tapservice.get_tap_capability().get_adql().get_udf("duff function") is None def test_get_udf(self, tapservice): func = tapservice.get_tap_capability().get_adql().get_udf("IVO_hasword") # case insensitive! assert func.form == "ivo_hasword(haystack TEXT, needle TEXT) -> INTEGER" def test_get_endpoint_candidates(): # Directly instantiate the TAPService with a known base URL svc = TAPService("http://astroweb.projects.phys.ucl.ac.uk:8000/tap") # Check if the correct endpoint candidates are generated expected_urls = [ "http://astroweb.projects.phys.ucl.ac.uk:8000/tap/capabilities", "http://astroweb.projects.phys.ucl.ac.uk:8000/capabilities" ] assert svc._get_endpoint_candidates("capabilities") == expected_urls def test_timeout_error(): service = TAPService('http://example.com/tap') with requests_mock.Mocker() as rm: rm.register_uri( 'GET', 'http://example.com/tap/capabilities', exc=requests.Timeout("Request timed out") ) rm.register_uri( 'GET', 'http://example.com/capabilities', exc=requests.Timeout("Request timed out") ) with pytest.raises(DALServiceError) as excinfo: _ = service.capabilities error_message = str(excinfo.value) assert "Request timed out" in error_message def test_generic_request_exception(): service = TAPService('http://example.com/tap') with requests_mock.Mocker() as rm: rm.register_uri( 'GET', 'http://example.com/tap/capabilities', exc=requests.RequestException("Some request error") ) rm.register_uri( 'GET', 'http://example.com/capabilities', exc=requests.RequestException("Some request error") ) with pytest.raises(DALServiceError) as excinfo: _ = service.capabilities error_message = str(excinfo.value) assert "Some request error" in error_message def test_unexpected_exception(): service = TAPService('http://example.com/tap') class CustomException(Exception): pass with requests_mock.Mocker() as rm: rm.register_uri( 'GET', 'http://example.com/tap/capabilities', exc=CustomException("Unexpected error occurred") ) rm.register_uri( 'GET', 'http://example.com/capabilities', exc=CustomException("Unexpected error occurred") ) with pytest.raises(DALServiceError) as excinfo: _ = service.capabilities error_message = str(excinfo.value) assert "Unable to access the capabilities endpoint at:" in error_message def test_tap_service_initialization_error(): with requests_mock.Mocker() as rm: rm.register_uri( 'GET', 'http://example.com/tap/capabilities', status_code=404 ) rm.register_uri( 'GET', 'http://example.com/capabilities', status_code=404 ) service = TAPService('http://example.com/tap') with pytest.raises(DALServiceError) as excinfo: _ = service.capabilities error_message = str(excinfo.value) assert "Unable to access the capabilities endpoint at:" in error_message assert "404" in error_message def test_endpoint_connection_errors(): service = TAPService('http://example.com/tap') with requests_mock.Mocker() as rm: rm.register_uri( 'GET', 'http://example.com/tap/capabilities', status_code=404 ) rm.register_uri( 'GET', 'http://example.com/capabilities', status_code=404 ) with pytest.raises(DALServiceError) as excinfo: _ = service.capabilities error_message = str(excinfo.value) assert "Unable to access the capabilities endpoint at:" in error_message assert "404" in error_message assert "The service URL is incorrect" in error_message def test_invalid_tap_url(): service = TAPService('not-a-url') with requests_mock.Mocker() as rm: rm.register_uri( 'GET', requests_mock.ANY, exc=requests.exceptions.ConnectionError( "Failed to establish connection") ) with pytest.raises(DALServiceError) as excinfo: _ = service.capabilities error_message = str(excinfo.value) assert "Unable to access the capabilities endpoint at:" in error_message assert "Connection failed" in error_message def test_http_error_responses(): error_codes = { 403: "Forbidden", 500: "Internal Server Error", 502: "Bad Gateway", 503: "Service Unavailable" } for code, reason in error_codes.items(): with requests_mock.Mocker() as rm: rm.register_uri( 'GET', 'http://example.com/tap/capabilities', status_code=code, reason=reason ) rm.register_uri( 'GET', 'http://example.com/capabilities', status_code=code, reason=reason ) service = TAPService('http://example.com/tap') with pytest.raises(DALServiceError) as excinfo: _ = service.capabilities error_message = str(excinfo.value) assert "Unable to access the capabilities endpoint at:" in error_message assert f"{code} {reason}" in error_message def test_network_error(): service = TAPService('http://example.com/tap') with requests_mock.Mocker() as rm: rm.register_uri( 'GET', 'http://example.com/tap/capabilities', exc=requests.exceptions.ConnectionError( "Failed to establish connection") ) rm.register_uri( 'GET', 'http://example.com/capabilities', exc=requests.exceptions.ConnectionError( "Failed to establish connection") ) with pytest.raises(DALServiceError) as excinfo: _ = service.capabilities error_message = str(excinfo.value) assert "Unable to access the capabilities endpoint at:" in error_message assert "Connection failed" in error_message @pytest.mark.remote_data @pytest.mark.parametrize('stream_type', [BytesIO, StringIO]) def test_tap_upload_remote(stream_type): tmp_table = (''' external URI for the physical artifact
2013.1.01365.S
''') if stream_type == BytesIO: tmp_table = tmp_table.encode() query = ('select top 3 proposal_id from ivoa.ObsCore oc join ' 'TAP_UPLOAD.proj_codes pc on oc.proposal_id=pc.prop_id') service = TAPService('https://almascience.nrao.edu/tap') res = service.search(query, uploads={'proj_codes': stream_type(tmp_table)}) assert len(res) == 3 for row in res: assert row['proposal_id'] == '2013.1.01365.S' @pytest.mark.usefixtures('overflow_fixture') @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W27") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W48") @pytest.mark.filterwarnings("ignore::astropy.io.votable.exceptions.W06") class TestTAPOverflowWarnings: """Test TAP overflow warning behavior""" def test_sync_no_maxrec_overflow_warning(self): service = TAPService('http://example.com/tap') with pytest.warns(DALOverflowWarning, match="Results truncated due to server limits"): results = service.run_sync("SELECT * FROM ivoa.obscore") assert len(results) == 10 def test_sync_maxrec_exact_match_no_warning(self): service = TAPService('http://example.com/tap') with warnings.catch_warnings(record=True) as w: warnings.simplefilter("always") _ = service.run_sync("SELECT * FROM ivoa.obscore", maxrec=10) overflow_warnings = [warning for warning in w if issubclass(warning.category, DALOverflowWarning)] assert len(overflow_warnings) == 0, f"Unexpected overflow warnings: {overflow_warnings}" def test_sync_maxrec_service_truncation_warning(self): service = TAPService('http://example.com/tap') with pytest.warns(DALOverflowWarning, match="Results truncated at " "10 records by service limits.*you requested maxrec=100"): results = service.run_sync("SELECT * FROM ivoa.obscore", maxrec=100) assert len(results) == 10 def test_search_function_no_maxrec(self): with pytest.warns(DALOverflowWarning, match="Results truncated due to server limits"): results = search('http://example.com/tap', "SELECT * FROM ivoa.obscore") assert len(results) == 10 def test_search_function_with_maxrec(self): with warnings.catch_warnings(record=True) as w: warnings.simplefilter("always") _ = search('http://example.com/tap', "SELECT * FROM " "ivoa.obscore", maxrec=10) overflow_warnings = [warning for warning in w if issubclass(warning.category, DALOverflowWarning)] assert len(overflow_warnings) == 0, f"Unexpected overflow warnings: {overflow_warnings}" def test_tapresults_suppresses_construction_warning(self): from pyvo.dal.tap import TAPResults from astropy.io.votable import parse as votableparse import requests response = requests.post('http://example.com/tap/sync', data={'QUERY': 'SELECT * FROM test'}) votable = votableparse(BytesIO(response.content)) with warnings.catch_warnings(): warnings.simplefilter("error") result = TAPResults(votable, url='http://test.com', session=None) assert len(result) == 10 def test_tap_create_query_maxrec_tracking(self): service = TAPService('http://example.com/tap') query = service.create_query("SELECT * FROM ivoa.obscore", maxrec=10) assert query._client_set_maxrec == 10 assert query["MAXREC"] == 10 query2 = service.create_query("SELECT * FROM ivoa.obscore") assert query2._client_set_maxrec is None assert "MAXREC" not in query2 def test_edge_case_maxrec_zero(self): service = TAPService('http://example.com/tap') query = service.create_query("SELECT * FROM ivoa.obscore", maxrec=0) assert query._client_set_maxrec == 0 assert "MAXREC" not in query @pytest.mark.usefixtures('async_fixture') class TestTAPAsyncOverflowWarnings: """Test async TAP overflow warnings""" def test_async_job_stores_maxrec(self): service = TAPService('http://example.com/tap') job = service.submit_job("SELECT * FROM ivoa.obscore", maxrec=5) assert job._client_set_maxrec == 5 def test_async_job_manual_creation_no_maxrec(self): job_response = ''' 123 PENDING 2025-07-29T17:34:19.638 2025-07-28T17:34:19.638 14400 2025-07-04T17:34:19.638 ''' with requests_mock.Mocker() as rm: rm.get('http://example.com/tap/async/123', text=job_response) job = AsyncTAPJob('http://example.com/tap/async/123') assert job._client_set_maxrec is None assert job.job_id == '123' assert job.phase == 'PENDING' def test_tap_integration_with_existing_tests(): service = TAPService('http://example.com/tap') query = service.create_query("SELECT * FROM ivoa.obscore") assert query is not None assert hasattr(query, '_client_set_maxrec') astropy-pyvo-b70558c/pyvo/dal/vosi.py000066400000000000000000000220711510533647000176420ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ VOSI classes and mixins """ from itertools import chain import requests from urllib.parse import urlparse from astropy.utils.decorators import lazyproperty, deprecated from .exceptions import DALServiceError from ..io import vosi from ..utils.url import url_sibling from ..utils.decorators import stream_decode_content, response_decode_content from ..utils.http import use_session __all__ = ['CapabilityMixin', 'VOSITables'] class EndpointMixin: def _get_endpoint_candidates(self, endpoint): """Construct endpoint URLs from base URL and endpoint""" urlcomp = urlparse(self.baseurl) # Include the port number if present netloc = urlcomp.hostname if urlcomp.port: netloc += f':{urlcomp.port}' curated_baseurl = f'{urlcomp.scheme}://{netloc}{urlcomp.path}' if not endpoint: raise AttributeError('endpoint required') return [f'{curated_baseurl}/{endpoint}', url_sibling(curated_baseurl, endpoint)] @staticmethod def _build_error_message(endpoint, attempted_urls): """Build error message from attempted URLs and their failures""" return ( f"Unable to access the {endpoint} endpoint at:\n" f"{chr(10).join(attempted_urls)}\n\n" f"This could mean:\n" f"1. The service URL is incorrect\n" f"2. The service is temporarily unavailable\n" f"3. The service doesn't support this protocol\n" f"4. If a 503 was encountered, retry after the suggested delay.\n" ) @staticmethod def _get_response_body(response): """Extract response body for error messagess""" max_length = 500 # Truncate if too long (500 chars), to avoid overwhelming the user if response is None or not response.headers.get("Content-Type", "").startswith("text"): return "" return f" Response body: {response.text[:max_length]}" def _handle_http_error(self, error, url, attempted_urls): """Handle HTTP errors and update attempted_urls list""" response_body = self._get_response_body(error.response) if error.response.status_code == 503: # Handle Retry-After header, if present retry_after = None for header in error.response.headers: if header.lower() == 'retry-after': retry_after = error.response.headers[header] break if retry_after: attempted_urls.append( f"- {url}: 503 Service Unavailable (Retry-After: " f"{retry_after}){response_body}") return True elif error.response.status_code == 404: attempted_urls.append(f"- {url}: 404 Not Found") return True status_code = error.response.status_code attempted_urls.append( f"- {url}: HTTP Code: {status_code} " f"{error.response.reason}{response_body}") return False def _get_endpoint(self, endpoint): """Attempt to connect to service endpoint""" attempted_urls = [] try: candidates = self._get_endpoint_candidates(endpoint) except (ValueError, AttributeError) as e: raise DALServiceError( f"Cannot construct endpoint URL from base '{self.baseurl}' and endpoint '{endpoint}'. " f"{type(e).__name__}: {str(e)}" ) from e for ep_url in candidates: try: response = self._session.get(ep_url, stream=True) response.raise_for_status() return response.raw except requests.HTTPError as e: if not self._handle_http_error(e, ep_url, attempted_urls): break except requests.ConnectionError: attempted_urls.append( f"- {ep_url}: Connection failed " f"(Possible causes: incorrect URL, DNS issue, or service is down)") break except requests.Timeout: attempted_urls.append( f"- {ep_url}: Request timed out (Service may be overloaded or slow)") except (requests.RequestException, Exception) as e: attempted_urls.append(f"- {ep_url}: {str(e)}") break raise DALServiceError( self._build_error_message(endpoint, attempted_urls)) @deprecated(since="1.5") class AvailabilityMixin(EndpointMixin): """ Mixing for VOSI availability """ @deprecated(since="1.5") @stream_decode_content def _availability(self): """ Service Availability as a :py:class:`~pyvo.io.vosi.availability.Availability` object """ return self._get_endpoint('availability') @lazyproperty @deprecated(since="1.5") def availability(self): return vosi.parse_availability(self._availability().read) @property @deprecated(since="1.5") def available(self): """ True if the service is available, False otherwise """ return self.availability.available @property @deprecated(since="1.5") def up_since(self): """ datetime the service was started """ return self.availability.upsince class CapabilityMixin(EndpointMixin): """ Mixing for VOSI capability """ @stream_decode_content def _capabilities(self): """ Retrieve the raw capabilities document from the service. """ return self._get_endpoint('capabilities') @lazyproperty def capabilities(self): return vosi.parse_capabilities(self._capabilities().read) class TablesMixin(CapabilityMixin): """ Mixin for VOSI tables """ @stream_decode_content def _tables(self): try: interfaces = next( _ for _ in self.capabilities if _.standardid.startswith( 'ivo://ivoa.net/std/VOSI#tables') ).interfaces accessurls = chain.from_iterable(_.accessurls for _ in interfaces) tables_urls = (_.value for _ in accessurls) except StopIteration: tables_urls = [ f'{self.baseurl}/tables', url_sibling(self.baseurl, 'tables') ] for tables_url in tables_urls: try: response = self._session.get(tables_url, stream=True) response.raise_for_status() break except requests.RequestException: continue else: raise DALServiceError("No working tables endpoint provided") return response.raw @lazyproperty def tables(self): return VOSITables(vosi.parse_tables(self._tables().read)) class VOSITables: """ This class encapsulates access to the VOSITables using a given Endpoint. Access to table names is like accessing dictionary keys. using iterator syntax or `keys()` """ def __init__(self, vosi_tables, endpoint_url, *, session=None): self._vosi_tables = vosi_tables self._endpoint_url = endpoint_url self._cache = {} self._session = use_session(session) def __len__(self): return self._vosi_tables.ntables def __getitem__(self, key): return self._get_table(key) def __iter__(self): for tablename in self.keys(): yield self._get_table(tablename) def __contains__(self, tablename): return tablename in self.keys() def _get_table(self, name): if name in self._cache: return self._cache[name] table = self._vosi_tables.get_table_by_name(name) if not table.columns and not table.foreignkeys: tables_url = f'{self._endpoint_url}/{name}' response = self._get_table_file(tables_url) try: response.raise_for_status() except requests.RequestException as ex: raise DALServiceError.from_except(ex, tables_url) table = vosi.parse_tables(response.raw.read).get_first_table() self._cache[name] = table return table @response_decode_content def _get_table_file(self, tables_url): return self._session.get(tables_url, stream=True) def keys(self): """ Iterates over the keys (table names). """ for table in self._vosi_tables.iter_tables(): yield table.name def values(self): """ Iterates over the values (tables). Gathers missing values from endpoint if necessary. """ for name in self.keys(): yield self._get_table(name) def items(self): """ Iterates over keys and values (table names and tables). Gathers missing values from endpoint if necessary. """ for name in self.keys(): yield (name, self._get_table(name)) def describe(self): for table in self: table.describe() astropy-pyvo-b70558c/pyvo/dam/000077500000000000000000000000001510533647000163075ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/dam/__init__.py000066400000000000000000000001661510533647000204230ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst from .obscore import * __all__ = ["ObsCoreMetadata"] astropy-pyvo-b70558c/pyvo/dam/obscore.py000066400000000000000000000056001510533647000203160ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ A module for representing data in ObsCore format """ __all__ = ['ObsCoreMetadata', 'POLARIZATION_STATES', 'CALIBRATION_LEVELS'] # to be moved to ObsCore POLARIZATION_STATES = ['I', 'Q', 'U', 'V', 'RR', 'LL', 'RL', 'LR', 'XX', 'YY', 'XY', 'YX', 'POLI', 'POLA'] CALIBRATION_LEVELS = [0, 1, 2, 3, 4] class ObsCoreMetadata(): """ Representation of an ObsCore observation TBD setters to do validation and unit check. """ def __init__(self): # OBSERVATION INFO self.dataproduct_type = None self.dataproduct_subtype = None self.calib_level = None # TARGET INFO self.target_name = None self.target_class = None # DATA DESCRIPTION self.obs_id = None self.obs_title = None self.obs_collection = None self.obs_create_date = None self.obs_creator_name = None self.obs_creator_did = None # CURATION INFORMATION self.obs_release_date = None self.obs_publisher_did = None self.publisher_id = None self.bib_reference = None self.data_rights = None # ACCESS INFORMATION self.access_url = None self.access_format = None self.access_estsize = None # SPATIAL CHARACTERISATION self.s_ra = None self.s_dec = None self.s_fov = None self.s_region = None self.s_resolution = None self.s_xel1 = None self.s_xel2 = None self.s_ucd = None self.s_unit = None self.s_resolution_min = None self.s_resolution_max = None self.s_calib_status = None self.s_stat_error = None self.s_pixel_scale = None # TIME CHARACTERISATION self.t_xel = None self.t_ref_pos = None self.t_min = None self.t_max = None self.t_exptime = None self.t_resolution = None self.t_calib_status = None self.t_stat_error = None # SPECTRAL CHARACTERISATION self.em_xel = None self.em_ucd = None self.em_unit = None self.em_calib_status = None self.em_min = None self.em_max = None self.em_res_power = None self.em_res_power_min = None self.em_res_power_max = None self.em_resolution = None self.em_stat_error = None # OBSERVABLE AXIS self.o_ucd = None self.o_unit = None self.o_calib_status = None self.o_stat_error = None # POLARIZATION CHARACTERISATION self.pol_xel = None self.pol_states = None # PROVENANCE self.instrument_name = None self.facility_name = None self.proposal_id = None astropy-pyvo-b70558c/pyvo/discover/000077500000000000000000000000001510533647000173645ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/discover/__init__.py000066400000000000000000000011071510533647000214740ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ Various functions dealing with global data disovery. """ import warnings from pyvo.utils.prototype import PrototypeWarning # if you remove this warning, also remove the ignorere in test_imagediscovery. warnings.warn("pyvo.discover's API is still under design in pyVO 1.6 and" " may change without prior notice. Feedback to the authors is most" " welcome.", PrototypeWarning) from .image import images_globally, ImageDiscoverer, ImageFound __all__ = ['images_globally', "ImageDiscoverer", "ImageFound"] astropy-pyvo-b70558c/pyvo/discover/image.py000066400000000000000000000601571510533647000210310ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ Global image discovery. This module is intended to cover the much-requested use case "give me all images with properties x, y, and z, where these properties for now is the location in space, time, and spectrum; sensitivity clearly would be great, but that needs standard work. The code here looks for data in SIA1, SIA2, and Obscore services for now. """ # TODOs: # * Evaluate and log Overflow conditions in the three protocols # * do more (s_region!) on the basis of the WCS parts in SIA1 # * In obscore, we probably should make the dataproduct type constraint # configurable (this should really also work for cubes) # * Obscore query generation *might* want some extra logic for inclusive, # (as in OR whatever IS NULL) -- but is that a good idea? # * It would be nice if we preserved datalink availability and perhaps # even let people do automatic cutouts to the RoI. import functools import threading import requests from astropy import units as u from astropy import table from astropy import time from ..dam import obscore from .. import dal from .. import registry from ..registry import regtap # imports for type hints from typing import Callable, Optional from collections.abc import Generator from astropy.units import quantity __all__ = ["ImageFound", "ImageDiscoverer", "images_globally"] # We should probably have a general way to set query timeouts in pyVO. # For now, we don't, but for global discovery there's really no way # around them. So, let me hack something here. class SessionWithTimeout(requests.Session): def __init__(self, *args, default_timeout=None, **kwargs): self.default_timeout = default_timeout super().__init__(*args, **kwargs) def request(self, *args, **kwargs): if "timeout" not in kwargs: kwargs["timeout"] = self.default_timeout return super().request(*args, **kwargs) class Queriable: """A facade for a queriable service. We keep these rather than work on `pyvo.registry.RegistryResource`-s directly because the latter actually live in VOTables which are very hard to manipulate. They are constructed with a resource record. """ def __init__(self, res_rec): self.res_rec = res_rec self.ivoid = res_rec.ivoid self.title = self.res_rec.res_title def __str__(self): return f"<{self.ivoid}>" def __repr__(self): return str(self) @functools.cache def obscore_column_names(): """returns the names of obscore columns. For lack of alternatives, I pull them out of ObsCoreMetadata for now. """ return [name for name in dir(obscore.ObsCoreMetadata()) if not name.startswith("_")] class ImageFound(obscore.ObsCoreMetadata): """Obscore metadata for a found record. The mandatory obscore fields are kept as attributes. We are pulling these out from the various VOTables that we retrieve because we need to do some manipulation of them that is simpler to do if they are proper Python objects. This also keeps track of the service the record came from, which is available from the origin_service attribute. """ attr_names = set(obscore_column_names()) def __init__(self, origin_service, obscore_record): self.origin_service = origin_service for k, v in obscore_record.items(): if k not in self.attr_names: raise TypeError( f"ImageFound does not accept {k} keys") setattr(self, k, v) @classmethod def from_obscore_recs(cls, origin_service, obscore_result): if not obscore_result: return ap_table = obscore_result.to_table() our_keys = [n for n in ap_table.colnames if n in cls.attr_names] for row in obscore_result: yield cls( origin_service, dict(zip(our_keys, (row[n] for n in our_keys)))) @classmethod def from_sia1_recs(cls, origin_service, sia1_result, filter_func): for rec in sia1_result: if not filter_func(rec): continue mapped = { "dataproduct_type": "image" if rec.naxes == 2 else "cube", "access_url": rec.acref, "em_max": None if rec.bandpass_hilimit is None else rec.bandpass_hilimit.to(u.m).value, "em_min": None if rec.bandpass_lolimit is None else rec.bandpass_lolimit.to(u.m).value, # Sigh. Try to guess exposure time? "t_min": None if rec.dateobs is None else rec.dateobs.mjd, "t_max": None if rec.dateobs is None else rec.dateobs.mjd, "access_estsize": None if rec.filesize is None else rec.filesize/1024, "access_format": rec.format, "instrument_name": rec.instr, "s_xel1": rec.naxis[0].to(u.pix).value, "s_xel2": rec.naxis[1].to(u.pix).value, "s_ra": rec.pos.icrs.ra.to(u.deg).value, "s_dec": rec.pos.icrs.dec.to(u.deg).value, "obs_title": rec.title, } yield cls(origin_service, mapped) def _clean_for(records: list[Queriable], ivoids_to_remove: set[str]): """returns the Queriables in records the ivoids of which are not in ivoids_to_remove. """ return [r for r in records if r.ivoid not in ivoids_to_remove] class ImageDiscoverer: """A management class for VO global image discovery. This encapsulates all of constraints, service lists, results, and diagnostics. This probably should not be considered API but rather as an implementation detail of discover_images. The normal usage is do call discover_services(), which will locate all VO services that may have relevant data. Alternatively, call set_services(registry_results) with some result of a registry.search() call. ImageDiscoverer will then pick capabilities it can use out of the resource records. Records without usable capabilities are silently ignored. Then call query_services to execute the discovery query on these services. See images_globally for a discussion of its constructor parameters. """ # Constraint defaults # a float in metres spectrum = None # MJD floats time_min = time_max = None # a center as a 2-tuple in ICRS degrees center = None # a radius as a float in degrees radius = None def __init__(self, *, space=None, spectrum=None, time=None, inclusive=False, watcher=None, timeout=20): self.session = SessionWithTimeout(default_timeout=timeout) if space: self.center = (space[0], space[1]) self.radius = space[2] if spectrum is not None: self.spectrum = spectrum.to(u.m, equivalencies=u.spectral()).value if time is not None: if isinstance(time, tuple): self.time_min, self.time_max = time[0].mjd, time[1].mjd else: self.time_min = self.time_max = time.mjd self.inclusive = inclusive self.already_queried, self.failed_services = 0, 0 self.results: list[obscore.ObsCoreMetadata] = [] self.watcher = watcher self.log_messages: list[str] = [] self.known_access_urls: set[str] = set() self._service_list_lock = threading.Lock() with self._service_list_lock: # only write to these while holding the lock self.sia1_recs, self.sia2_recs, self.obscore_recs = [], [], [] def _info(self, message: str) -> None: """sends message to our watcher (if there is any) """ if self.watcher is not None: self.watcher(self, message) def _log(self, message: str) -> None: """logs message. This will also do whatever _info does. """ self.log_messages.append(message) self._info(message) def _purge_redundant_services(self): """removes services querying data already covered by more capable services from our current services lists. """ def ids(recs): return {r.ivoid for r in recs} self.sia1_recs = _clean_for(self.sia1_recs, ids(self.sia2_recs) | ids(self.obscore_recs)) self.sia2_recs = _clean_for(self.sia2_recs, ids(self.obscore_recs)) # In addition, now throw out all services that have an # IsServedBy relationship to another service we will also # query. That's particularly valuable if there are large # obscore services covering data from many SIA1 services. ids_present = table.Table([ table.Column( name="id", data=list( sorted(ids(self.sia1_recs) | ids(self.sia2_recs) | ids(self.obscore_recs))), description="ivoids of candiate services", meta={"ucd": "meta.ref.ivoid"}),]) if len(ids_present) == 0: return services_for = regtap.get_RegTAP_service().run_sync( """SELECT ivoid, related_id FROM rr.relationship JOIN tap_upload.ids AS leftids ON (ivoid=leftids.id) JOIN tap_upload.ids AS rightids ON (related_id=rightids.id) WHERE relationship_type='isservedby' """, uploads={'ids': ids_present}) for rec in services_for: self._log(f"Skipping {rec['ivoid']} because" f" it is served by {rec['related_id']}") collections_to_remove = {r["ivoid"] for r in services_for} self.sia1_recs = _clean_for(self.sia1_recs, collections_to_remove) self.sia2_recs = _clean_for(self.sia2_recs, collections_to_remove) self.obscore_recs = _clean_for(self.obscore_recs, collections_to_remove) def _discover_obscore_services(self, *constraints): # For obscore, we currently have a defunct discovery pattern # ("obscore" in the Datamodel constraint). There is obscore-new, # which fixes the problem, but until that's adopted by all the # obscore services, we have to try both and the pick the # more suitable version. # Once we move obscore-new to obscore, remove this function # and put # self.obscore_recs = [Queriable(r) for r in registry.search( # registry.Datamodel("obscore"), *constraints)] # back into discover_services. obscore_services = registry.search( registry.Datamodel("obscore_new"), *constraints) tap_services_with_obscore = registry.search( registry.Datamodel("obscore"), *constraints) new_style_access_urls = set() for rec in obscore_services: new_style_access_urls |= { i.access_url for i in rec.list_interfaces("tap")} for tap_rec in tap_services_with_obscore: access_urls = { i.baseurl for i in rec.list_services("tap")} if new_style_access_urls.isdisjoint(access_urls): obscore_services.append(obscore_services) return [Queriable(r) for r in obscore_services] def discover_services(self): """fills the X_recs attributes with resources declaring coverage for our constraints. X at this point is sia1, sia2, and obscore. It tries to filter out as many duplicates (i.e., services operating on the same data collections) as it can. The order of preference is Obscore, SIA2, SIA. """ constraints = [] if self.center is not None: constraints.append( registry.Spatial(list(self.center)+[self.radius], inclusive=self.inclusive)) if self.spectrum is not None: constraints.append( registry.Spectral(self.spectrum*u.m, inclusive=self.inclusive)) if self.time_min is not None or self.time_max is not None: constraints.append( registry.Temporal( (self.time_min, self.time_max), inclusive=self.inclusive)) with self._service_list_lock: self.sia1_recs = [Queriable(r) for r in registry.search( registry.Servicetype("sia"), *constraints)] self._info(f"Found {len(self.sia1_recs)} SIA1 service(s)") self.sia2_recs = [Queriable(r) for r in registry.search( registry.Servicetype("sia2"), *constraints)] self._info(f"Found {len(self.sia2_recs)} SIA2 service(s)") self.obscore_recs = self._discover_obscore_services(*constraints) self._info("Found {} Obscore service(s)".format( len(self.obscore_recs))) self._purge_redundant_services() def set_services(self, registry_results: registry.RegistryResults, purge_redundant: bool = True) -> None: """as an alternative to discover_services, this sets the services to be queried to the result of a custom registry query. This will pick the "most capabable" interface from each record and ignore records without image discovery capabilities. If you set purge_redundant to false, this will not attempt to eliminate services that are alternative interfaces to services that are already called. There are very few situations in which you would want to do that, mostly related to debugging. """ with self._service_list_lock: for rsc in registry_results: if "tap" in rsc.access_modes(): # TODO: we ought to ensure there's an obscore # table on this; but by the time this sees users, # I hope to have fixed obscore discovery. self.obscore_recs.append(Queriable(rsc)) elif "sia2" in rsc.access_modes(): self.sia2_recs.append(Queriable(rsc)) elif "sia" in rsc.access_modes(): self.sia1_recs.append(Queriable(rsc)) # else ignore this record if purge_redundant: self._purge_redundant_services() def reset_services(self): """clears the queues of services to query. This is the only supported way to interrupt operations once query_services has been called. This will not interrupt the query currently running. There is currently no way to do that. """ with self._service_list_lock: self.sia1_recs, self.sia2_recs, self.obscore_recs = [], [], [] self._log("Cancelling queries with {} service(s) queried" .format(self.already_queried)) def _add_records(self, recgen: Generator[ImageFound, None, None]) -> int: """adds records from regen to the global results. This will skip datasets the access urls of which we have already seen and will return the number of datasets actually added. """ n_added = 0 for obscore_record in recgen: if obscore_record.access_url in self.known_access_urls: continue self.known_access_urls.add(obscore_record.access_url) self.results.append(obscore_record) n_added += 1 return n_added def _query_one_sia1(self, rec: Queriable): """runs our query against a SIA1 capability of rec. Since SIA1 cannot do spectral and temporal constraints itself, we do them client-side provided sufficient metadata is present. If metadata is missing, we keep or discard accoding to self.inclusive. """ def non_spatial_filter(sia1_rec): if self.spectrum and not self.inclusive and ( sia1_rec.bandpass_hilimit is not None and sia1_rec.bandpass_lolimit is not None): if not (sia1_rec.bandpass_lolimit <= self.spectrum*u.m <= sia1_rec.bandpass_hilimit): return False # Regrettably, the exposure time is not part of SIA1 standard # metadata. We fudge things a bit; this should not # increase false positives very badly. if (self.time_min is not None or self.time_max is not None) \ and not self.inclusive and sia1_rec.dateobs: if not (self.time_min-0.1 < sia1_rec.dateobs.mjd < self.time_max+0.1): return False return True self._info(f"Querying SIA1 {rec.title}...") svc = rec.res_rec.get_service("sia", session=self.session, lax=True) n_found = self._add_records( ImageFound.from_sia1_recs( rec.ivoid, svc.search( pos=self.center, size=self.radius, intersect='overlaps'), non_spatial_filter)) self._log(f"SIA1 {rec.title} {n_found} records") def _query_sia1(self): """runs the SIA1 part of our discovery. This will be a no-op without a space constraint due to limitations of SIA1. """ if self.sia1_recs and self.center is None: self._log("SIA1 service(s) skipped due to missing space" " constraint") return # we don't do a for loop here because we want to react to changes # in self.sia1_recs while self.sia1_recs: rec = self.sia1_recs.pop() try: self._query_one_sia1(rec) except Exception as msg: self._log(f"SIA1 {rec.ivoid} skipped: {msg}") self.failed_services += 1 self.already_queried += 1 def _query_one_sia2(self, rec: Queriable): """runs our query against a SIA2 capability of rec. """ self._info(f"Querying SIA2 {rec.title}...") svc = rec.res_rec.get_service("sia2", session=self.session, lax=True) constraints = {} if self.center is not None: constraints["pos"] = self.center+(self.radius,) if self.spectrum is not None: constraints["band"] = self.spectrum if self.time_min is not None or self.time_max is not None: constraints["time"] = ( time.Time(self.time_min, format="mjd"), time.Time(self.time_max, format="mjd")) n_found = self._add_records( ImageFound.from_obscore_recs( rec.ivoid, svc.search(**constraints))) self._log(f"SIA2 {rec.title}: {n_found} records") def _query_sia2(self): """runs the SIA2 part of our discovery. """ while self.sia2_recs: rec = self.sia2_recs.pop() try: self._query_one_sia2(rec) except Exception as msg: self._log(f"SIA2 {rec.ivoid} skipped: {msg}") self.failed_services += 1 self.already_queried += 1 def _query_one_obscore(self, rec: Queriable, where_clause: str): """runs our query against a Obscore capability of rec. """ self._info(f"Querying Obscore {rec.title}...") svc = rec.res_rec.get_service("tap", session=self.session, lax=True) n_found = self._add_records( ImageFound.from_obscore_recs( rec.ivoid, svc.run_sync("select * from ivoa.obscore "+where_clause))) self._log(f"Obscore {rec.title}: {n_found} records") def _query_obscore(self): """runs the Obscore part of our discovery. """ where_parts = ["dataproduct_type='image'"] if self.center is not None: where_parts.append( "(1=contains(point('ICRS', s_ra, s_dec)," " circle('ICRS', {}, {}, {}))".format( self.center[0], self.center[1], self.radius) + " or 1=intersects(circle({}, {}, {}), s_region))".format( self.center[0], self.center[1], self.radius)) if self.spectrum is not None: where_parts.append( f"(em_min<={self.spectrum} AND em_max>={self.spectrum})") if self.time_min is not None or self.time_max is not None: where_parts.append( "({h1}>={l2} AND {h2}>={l1}" " AND {l1}<={h1} AND {l2}<={h2})".format( l1="t_min", h1="t_max", l2=self.time_min, h2=self.time_max)) where_clause = "WHERE "+(" AND ".join(where_parts)) while self.obscore_recs: rec = self.obscore_recs.pop() try: self._query_one_obscore(rec, where_clause) except Exception as msg: self._log("Obscore {} skipped: {}".format( rec.res_rec['ivoid'], msg)) self.failed_services += 1 self.already_queried += 1 def get_query_stats(self): """returns a tuple of n(total to query), n(already queried) """ total_to_query = len(self.obscore_recs)\ + len(self.sia1_recs)\ + len(self.sia2_recs) return total_to_query, self.already_queried, self.failed_services def query_services(self): """queries the discovered image services according to our constraints. This creates and fills the results and the log_messages attributes. """ if (not self.sia1_recs and not self.sia2_recs and not self.obscore_recs): raise dal.DALQueryError("No services to query. Unless" " you overrode service selection, you will have to" " loosen your constraints.") self._query_obscore() self._query_sia2() self._query_sia1() def images_globally( *, space: Optional[tuple[float, float, float]] = None, spectrum: Optional[quantity.Quantity] = None, time: Optional[time.Time] = None, inclusive: bool = False, watcher: Optional[Callable[['ImageDiscoverer', str], None]] = None, timeout: float = 20, services: Optional[registry.RegistryResults] = None)\ -> tuple[list[obscore.ObsCoreMetadata], list[str]]: """returns a collection of ObsCoreMetadata-s matching certain constraints and a list of log lines. Parameters ---------- space : An optional tuple of ra, dec, and the search radius, all in degrees; images returned must intersect a spherical circle described in this way. spectrum : An astropy quantity convertible to a (vacuum) wavelength; images must cover this point in the (electromagnetic) spectrum. time : An astropy time that must be in the observation time of the image (if it declares a time). inclusive : Set to True to incluse services that do not declare their STC coverage. As of 2024, it may be advisable to do that as many relevant archives do not do that. watcher : A callable that will be called with the ImageDiscoverer instance and a string perhaps suitable for displaying to a human. services : An optional `~pyvo.registry.RegistryResults` instance to override automatic services detection. When an image has insufficient metadata to evaluate a constraint, it is excluded; this mimics the behaviour of SQL engines that consider comparisons with NULL-s false. Returns ------- discovered_images, log_lines The images found are returned in a list of `pyvo.discover.ImageFound` instances. log_lines is a list of strings reporting which services were queried with which result (and possibly more). So far, this is not considered machine-readable. """ discoverer = ImageDiscoverer( space=space, spectrum=spectrum, time=time, inclusive=inclusive, watcher=watcher, timeout=timeout) if services is None: discoverer.discover_services() else: discoverer.set_services(services) discoverer.query_services() return discoverer.results, discoverer.log_messages astropy-pyvo-b70558c/pyvo/discover/tests/000077500000000000000000000000001510533647000205265ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/discover/tests/test_imagediscovery.py000066400000000000000000000231671510533647000251620ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ Tests for pyvo.discover.image """ import weakref import pytest from astropy import coordinates from astropy import time from astropy import units as u from pyvo import dal from pyvo import registry from pyvo.discover import image from pyvo import discover class TestImageFound: def testBadAttrName(self): with pytest.raises(TypeError): image.ImageFound("ivo://x-fake", {"invented": None}) class FakeQueriable: """a scaffolding class to record queries built by the various discovery methods. It's a stand-in for all of discover.Queriable, the resource record, and the services. All query functions just make their search arguments available in search_args and search_kwargs attributes here and otherwise return whatever you pass in as return_this. """ def __init__(self, return_this=[]): self.title = "Fake scaffold service" self.ivoid = "ivo://x-invalid/pyvo-fake" self.return_this = return_this self.res_rec = weakref.proxy(self) def get_service(self, service_type, **kwargs): return self def search(self, *args, **kwargs): self.search_args = args self.search_kwargs = kwargs return self.return_this run_sync = search class FakeSIARec: """a convenience class to halfway easily create SIA1 records sufficient for testing. """ defaults = { "bandpass_lolimit": 5e-7*u.m, "bandpass_hilimit": 7e-7*u.m, "dateobs": time.Time("1970-10-13T14:00:00"), "filesize": 20, "naxis": (10*u.pix, 20*u.pix), "naxes": 2, "pos": coordinates.SkyCoord(0*u.deg, 0*u.deg)} def __init__(self, **kwargs): for key, value in self.defaults.items(): setattr(self, key, value) for key, value in kwargs.items(): setattr(self, key, value) def __getattr__(self, name): return None class TestTimeCondition: def test_sia1(self): # this primarily tests for local filtering queriable = FakeQueriable([ FakeSIARec(), FakeSIARec(dateobs=time.Time("1970-10-14"))]) d = discover.ImageDiscoverer( space=(0, 0, 1), time=( time.Time("1970-10-13T13:00:00"), time.Time("1970-10-13T17:00:00"))) d._query_one_sia1(queriable) assert len(d.results) == 1 assert abs(d.results[0].t_min-40872.583333333336) < 1e-10 assert queriable.search_kwargs == { 'pos': (0, 0), 'size': 1, 'intersect': 'overlaps'} def test_sia1_nointerval(self): queriable = FakeQueriable([ FakeSIARec(), FakeSIARec(dateobs=time.Time("1970-10-14"))]) d = discover.ImageDiscoverer( space=(0, 0, 1), time=time.Time("1970-10-13T13:00:02")) d._query_one_sia1(queriable) assert len(d.results) == 1 def test_sia2(self): queriable = FakeQueriable() d = discover.ImageDiscoverer( time=( time.Time("1970-10-13T13:00:00"), time.Time("1970-10-13T17:00:00"))) d._query_one_sia2(queriable) assert set(queriable.search_kwargs) == {"time"} assert abs(queriable.search_kwargs["time"][0].utc.value - 40872.54166667) < 1e-8 def test_sia2_nointerval(self): queriable = FakeQueriable() d = discover.ImageDiscoverer( time=time.Time("1970-10-13T13:00:00")) d._query_one_sia2(queriable) assert set(queriable.search_kwargs) == {"time"} assert abs(queriable.search_kwargs["time"][0].utc.value - 40872.54166667) < 1e-8 assert abs(queriable.search_kwargs["time"][1].utc.value - 40872.54166667) < 1e-8 def test_obscore(self): queriable = FakeQueriable() d = discover.ImageDiscoverer( time=(time.Time("1970-10-13T13:00:00"), time.Time("1970-10-13T17:00:00"))) d.obscore_recs = [queriable] d._query_obscore() assert set(queriable.search_kwargs) == set() assert queriable.search_args[0] == ( "select * from ivoa.obscore WHERE dataproduct_type='image'" " AND (t_max>=40872.541666666664 AND 40872.708333333336>=t_min" " AND t_min<=t_max AND 40872.541666666664<=40872.708333333336)") def test_obscore_nointerval(self): queriable = FakeQueriable() d = discover.ImageDiscoverer( time=( time.Time("1970-10-13T13:00:00"))) d.obscore_recs = [queriable] d._query_obscore() assert set(queriable.search_kwargs) == set() assert queriable.search_args[0] == ( "select * from ivoa.obscore WHERE dataproduct_type='image'" " AND (t_max>=40872.541666666664 AND 40872.541666666664>=t_min" " AND t_min<=t_max AND 40872.541666666664<=40872.541666666664)") class TestSpaceCondition: def test_sia1_fails_without_space(self): queriable = FakeQueriable() di = discover.ImageDiscoverer( time=( time.Time("1970-10-13T13:00:00"))) di.sia1_recs = [queriable] di.query_services() assert di.log_messages == [ 'SIA1 service(s) skipped due to missing space constraint'] def test_sia2(self): queriable = FakeQueriable() di = discover.ImageDiscoverer(space=(30, 21, 1)) di.sia2_recs = [queriable] di.query_services() assert queriable.search_kwargs == {'pos': (30, 21, 1)} def test_obscore(self): queriable = FakeQueriable() di = discover.ImageDiscoverer(space=(30, 21, 1)) di.obscore_recs = [queriable] di.query_services() assert queriable.search_args == ( "select * from ivoa.obscore WHERE dataproduct_type='image'" " AND (1=contains(point('ICRS', s_ra, s_dec)," " circle('ICRS', 30, 21, 1))" " or 1=intersects(circle(30, 21, 1), s_region))",) def test_no_services_selected(): with pytest.raises(dal.DALQueryError) as excinfo: image.ImageDiscoverer().query_services() assert "No services to query." in str(excinfo.value) # Tests requiring remote data below this line @pytest.mark.remote_data def test_single_sia1(): results, log = discover.images_globally( space=(116, -29, 0.1), time=time.Time(56383.105520834, format="mjd"), services=registry.search( registry.Ivoid("ivo://org.gavo.dc/bgds/q/sia"))) im = results[0] assert im.s_xel1 == 10800. assert isinstance(im.em_min, float) assert abs(im.s_dec+29) < 2 assert im.instrument_name == 'Robotic Bochum Twin Telescope (RoBoTT)' assert "BGDS GDS_" in im.obs_title assert "dc.g-vo.org/getproduct/bgds/data" in im.access_url @pytest.mark.remote_data def test_cone_and_spectral_point(): # This should really return just a few services. If this # starts hitting more services, see how we can throw them out # again, perhaps using a time constraint. watcher_msgs = [] def test_watcher(disco, msg): watcher_msgs.append(msg) images, logs = discover.images_globally( space=(134, 11, 0.1), spectrum=600*u.eV, time=(time.Time('1990-01-01'), time.Time('1999-12-31')), watcher=test_watcher) assert len(logs) < 10, ("Too many services in test_cone_and_spectral." " Try constraining the discovery phase more tightly to" " keep this test economical") skip_msg = ("Skipping ivo://org.gavo.dc/__system__/siap2/sitewide because" " it is served by ivo://org.gavo.dc/__system__/obscore/obscore") assert skip_msg in logs assert skip_msg in watcher_msgs assert len(images) >= 8 assert "RASS" in {im.obs_collection for im in images} @pytest.mark.remote_data def test_servedby_elision(): d = discover.ImageDiscoverer(space=(3, 1, 0.2)) # siap2/sitewide has isservedby to tap d.set_services( registry.search( registry.Ivoid( "ivo://org.gavo.dc/tap", "ivo://org.gavo.dc/__system__/siap2/sitewide"))) assert d.sia2_recs == [] assert len(d.obscore_recs) == 1 assert repr(d.obscore_recs[0]) == "" assert ('Skipping ivo://org.gavo.dc/__system__/siap2/sitewide' ' because it is served by ivo://org.gavo.dc/tap' in d.log_messages) @pytest.mark.remote_data def test_access_url_elision(): with pytest.warns(): di = discover.ImageDiscoverer( time=time.Time("1910-07-15", scale="utc"), spectrum=400*u.nm) di.set_services( registry.search( registry.Ivoid( "ivo://org.gavo.dc/tap", "ivo://org.gavo.dc/__system__/siap2/sitewide")), # that's important here: we *want* to query the same stuff twice purge_redundant=False) di.query_services() # make sure we found anything at all assert di.results assert len([1 for lm in di.log_messages if "skipped" in lm]) == 0 # make sure there are no duplicate records access_urls = [im.access_url for im in di.results] assert len(access_urls) == len(set(access_urls)) @pytest.mark.remote_data def test_cancelling(): def query_killer(disco, msg): if msg.startswith("Querying") and di.already_queried > 0: disco.reset_services() di = discover.ImageDiscoverer( time=time.Time("1980-07-15", scale="utc"), spectrum=400*u.nm, timeout=1, watcher=query_killer) di.set_services(registry.search(servicetype="sia2")) di.query_services() assert ('Cancelling queries with 1 service(s) queried' in di.log_messages) astropy-pyvo-b70558c/pyvo/io/000077500000000000000000000000001510533647000161555ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/io/__init__.py000066400000000000000000000001001510533647000202550ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst astropy-pyvo-b70558c/pyvo/io/uws/000077500000000000000000000000001510533647000167735ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/io/uws/__init__.py000066400000000000000000000002421510533647000211020ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst __all__ = ['parse_job', 'parse_job_list', 'JobFile'] from .endpoint import * from .tree import * astropy-pyvo-b70558c/pyvo/io/uws/endpoint.py000066400000000000000000000102031510533647000211610ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ This file contains a contains the high-level functions to read the various VOSI Endpoints. """ from astropy.utils.xml.writer import XMLWriter from astropy.io.votable.util import convert_to_writable_filelike from ...utils.xml.elements import xmlattribute, parse_for_object from .tree import JobSummary, Jobs __all__ = ["parse_job", "parse_job_list", "JobFile"] def parse_job_list( source, pedantic=None, filename=None, _debug_python_based_parser=False ): """ Parses a job xml file (or file-like object), and returns a `~pyvo.io.uws.tree.Jobs` object. Parameters ---------- source : str or readable file-like object Path or file object containing a tableset xml file. pedantic : bool, optional When `True`, raise an error when the file violates the spec, otherwise issue a warning. Warnings may be controlled using the standard Python mechanisms. See the `warnings` module in the Python standard library for more information. Defaults to False. filename : str, optional A filename, URL or other identifier to use in error messages. If *filename* is None and *source* is a string (i.e. a path), then *source* will be used as a filename for error messages. Therefore, *filename* is only required when source is a file-like object. Returns ------- `~pyvo.io.uws.tree.Jobs` object See also -------- pyvo.io.vosi.exceptions : The exceptions this function may raise. """ return parse_for_object(source, Jobs, pedantic, filename, _debug_python_based_parser).joblist def parse_job( source, pedantic=None, filename=None, _debug_python_based_parser=False ): """ Parses a job xml file (or file-like object), and returns a `~pyvo.io.uws.endpoint.JobFile` object. Parameters ---------- source : str or readable file-like object Path or file object containing a tableset xml file. pedantic : bool, optional When `True`, raise an error when the file violates the spec, otherwise issue a warning. Warnings may be controlled using the standard Python mechanisms. See the `warnings` module in the Python standard library for more information. Defaults to False. filename : str, optional A filename, URL or other identifier to use in error messages. If *filename* is None and *source* is a string (i.e. a path), then *source* will be used as a filename for error messages. Therefore, *filename* is only required when source is a file-like object. Returns ------- `~pyvo.io.uws.endpoint.JobFile` object See also -------- pyvo.io.vosi.exceptions : The exceptions this function may raise. """ return parse_for_object(source, JobFile, pedantic, filename, _debug_python_based_parser) class JobFile(JobSummary): """ availability element: represents an entire file. The keyword arguments correspond to setting members of the same name, documented below. """ def __init__(self, config=None, pos=None, **kwargs): super().__init__(config=config, pos=pos, **kwargs) self._version = None @xmlattribute def version(self): return self._version @version.setter def version(self, version): self._version = version def parse(self, iterator, config): for start, tag, data, pos in iterator: if start and tag == 'xml': pass elif start and tag == 'job': # version was not required in v1.0, so default to that. self._version = data.get('version', '1.0') break return super().parse(iterator, config) def to_xml(self, fd): with convert_to_writable_filelike(fd) as _fd: w = XMLWriter(_fd) xml_header = ( '\n' '\n' ) w.write(xml_header) super().to_xml(w) astropy-pyvo-b70558c/pyvo/io/uws/tests/000077500000000000000000000000001510533647000201355ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/io/uws/tests/__init__.py000066400000000000000000000000001510533647000222340ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/io/uws/tests/data/000077500000000000000000000000001510533647000210465ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/io/uws/tests/data/job-error.xml000066400000000000000000000024711510533647000234750ustar00rootroot00000000000000 1337 ERROR 2018-01-01T02:00:00Z 2018-01-01T00:00:00Z 2018-01-01T00:05:00Z 2018-01-01T02:00:00Z 7200 2018-02-01T00:00:00Z ADQL SELECT 'test' doQuery We have problem astropy-pyvo-b70558c/pyvo/io/uws/tests/data/job-implicit-v1.0.xml000066400000000000000000000015301510533647000246330ustar00rootroot00000000000000 1576511540079_32840 COMPLETED 2019-12-16T10:52:20 2019-12-17T10:52:20 600 2019-12-17T10:52:20 ADQL-2.0 tap doQuery SELECT ra, dec FROM table astropy-pyvo-b70558c/pyvo/io/uws/tests/data/job-with-duplicate-elements.xml000066400000000000000000000015051510533647000270760ustar00rootroot00000000000000 myjobid COMPLETED 2025-06-04T00:00:00Z 2025-06-04T00:05:00Z 2025-06-04T02:00:00Z 7200 2025-06-04T00:00:00Z SELECT * FROM table initial processing completed astropy-pyvo-b70558c/pyvo/io/uws/tests/data/job-with-empty-jobinfo.xml000066400000000000000000000014141510533647000260730ustar00rootroot00000000000000 myjobid COMPLETED 2025-06-04T00:00:00Z 2025-06-04T00:05:00Z 2025-06-04T02:00:00Z 7200 2025-06-04T00:00:00Z SELECT * FROM table astropy-pyvo-b70558c/pyvo/io/uws/tests/data/job-with-namespace-elements.xml000066400000000000000000000016631510533647000270650ustar00rootroot00000000000000 myjobid COMPLETED 2025-06-04T00:00:00Z 2025-06-04T00:05:00Z 2025-06-04T02:00:00Z 7200 2025-06-04T00:00:00Z SELECT * FROM table 50 75 no collision astropy-pyvo-b70558c/pyvo/io/uws/tests/data/job-with-nested-jobinfo.xml000066400000000000000000000016051510533647000262210ustar00rootroot00000000000000 jobid123 COMPLETED 2025-06-04T00:00:00Z 2025-06-04T00:05:00Z 2025-06-04T02:00:00Z 7200 2025-06-04T00:00:00Z SELECT * FROM table 1500 100 astropy-pyvo-b70558c/pyvo/io/uws/tests/data/job-with-simple-jobinfo.xml000066400000000000000000000016111510533647000262250ustar00rootroot00000000000000 test123 COMPLETED 2025-06-04T00:00:00Z 2025-06-04T00:05:00Z 2025-06-04T02:00:00Z 7200 2025-06-04T00:00:00Z SELECT * FROM table 100 1 1 astropy-pyvo-b70558c/pyvo/io/uws/tests/data/job-with-typed-jobinfo.xml000066400000000000000000000015721510533647000260670ustar00rootroot00000000000000 myid123 COMPLETED 2025-06-04T00:00:00Z 2025-06-04T00:05:00Z 2025-06-04T02:00:00Z 7200 2025-06-04T00:00:00Z SELECT * FROM table 100 3.14 pyvo astropy-pyvo-b70558c/pyvo/io/uws/tests/data/job.xml000066400000000000000000000024561510533647000223510ustar00rootroot00000000000000 1337 COMPLETED 2018-01-01T02:00:00Z 2018-01-01T00:00:00Z 2018-01-01T00:05:00Z 2018-01-01T02:00:00Z 7200 2018-02-01T00:00:00Z ADQL SELECT 'test' doQuery astropy-pyvo-b70558c/pyvo/io/uws/tests/test_job.py000066400000000000000000000152541510533647000223270ustar00rootroot00000000000000#!/usr/bin/env python # Licensed under a 3-clause BSD style license - see LICENSE.rst """ Tests for pyvo.io.uws """ import pytest import pyvo.io.uws as uws from pyvo.io.uws.tree import ExtensibleUWSElement from astropy.utils.data import get_pkg_data_filename class TestJob: def test_job(self): job = uws.parse_job(get_pkg_data_filename( "data/job.xml")) assert job.jobid == '1337' assert job.version == '1.1' job = uws.parse_job(get_pkg_data_filename( "data/job-implicit-v1.0.xml")) assert job.version == '1.0' def test_error_job(self): job = uws.parse_job(get_pkg_data_filename( "data/job-error.xml")) assert job.jobid == '1337' assert job.version == '1.1' assert not job.errorsummary.has_detail assert job.errorsummary.type_ == 'fatal' assert job.errorsummary.message.content == 'We have problem' def test_simple_jobinfo(self): job = uws.parse_job(get_pkg_data_filename( "data/job-with-simple-jobinfo.xml")) assert job.jobinfo is not None assert 'tapQueryInfo' in job.jobinfo assert job.jobinfo['tapQueryInfo'] is not None tap_info = job.jobinfo['tapQueryInfo'] assert 'pct_complete' in tap_info assert 'chunks_processed' in tap_info assert 'total_chunks' in tap_info assert tap_info['pct_complete'].value == 100 assert tap_info['chunks_processed'].value == 1 assert tap_info['total_chunks'].value == 1 assert tap_info['pct_complete'].text == "100" keys = list(job.jobinfo.keys()) assert 'tapQueryInfo' in keys def test_jobinfo_multiple_access_patterns(self): job = uws.parse_job(get_pkg_data_filename( "data/job-with-simple-jobinfo.xml")) assert job.jobinfo is not None tap_info1 = job.jobinfo['tapQueryInfo'] tap_info2 = job.jobinfo.get('tapQueryInfo') assert tap_info1 is tap_info2 assert tap_info1 is not None def test_jobinfo_text_content_and_types(self): job = uws.parse_job(get_pkg_data_filename( "data/job-with-typed-jobinfo.xml")) assert job.jobinfo is not None int_elem = job.jobinfo['integer_value'] assert int_elem.value == 100 assert isinstance(int_elem.value, int) assert int_elem.text == "100" float_elem = job.jobinfo['float_value'] assert float_elem.value == 3.14 assert isinstance(float_elem.value, float) assert float_elem.text == "3.14" string_elem = job.jobinfo['string_value'] assert string_elem.value == "pyvo" assert isinstance(string_elem.value, str) assert string_elem.text == "pyvo" empty_elem = job.jobinfo['empty_value'] assert empty_elem.value is None assert empty_elem.text is None def test_jobinfo_get_methods(self): job = uws.parse_job(get_pkg_data_filename( "data/job-with-simple-jobinfo.xml")) jobinfo = job.jobinfo assert jobinfo.get('nonexistent') is None assert jobinfo.get('nonexistent', 'default') == 'default' tap_info = jobinfo.get('tapQueryInfo') assert tap_info is not None assert 'tapQueryInfo' in jobinfo assert 'nonexistent' not in jobinfo tap_info = jobinfo['tapQueryInfo'] assert tap_info is not None with pytest.raises(KeyError): _ = jobinfo['nonexistent'] def test_jobinfo_edge_cases(self): job = uws.parse_job(get_pkg_data_filename( "data/job-with-simple-jobinfo.xml")) jobinfo = job.jobinfo str_repr = str(jobinfo) assert 'jobInfo' in str_repr or len(str_repr) > 0 repr_str = repr(jobinfo) assert 'ExtensibleUWSElement' in repr_str assert 'elements=' in repr_str def test_no_jobinfo(self): job = uws.parse_job(get_pkg_data_filename( "data/job.xml")) assert job.jobinfo is None def test_nested_jobinfo_access(self): job = uws.parse_job(get_pkg_data_filename( "data/job-with-nested-jobinfo.xml")) assert job.jobinfo is not None query_info = job.jobinfo['queryInfo'] assert query_info is not None metrics = query_info['metrics'] assert metrics is not None assert metrics['execution_time'].value == 1500 assert metrics['rows_returned'].value == 100 def test_jobinfo_overwrite_behavior(self): job = uws.parse_job(get_pkg_data_filename( "data/job-with-duplicate-elements.xml")) assert job.jobinfo is not None status = job.jobinfo.get('status') assert status is not None assert status.value == "completed" def test_extensible_element_creation(self): element = ExtensibleUWSElement(config={}, pos=(1, 1), _name='test') assert element._name == 'test' assert len(element._elements) == 0 assert 'test' in str(element) assert 'elements=0' in repr(element) assert 'nonexistent' not in element assert element.get('nonexistent') is None assert list(element.keys()) == [] def test_jobinfo_namespace_elements(self): job = uws.parse_job(get_pkg_data_filename( "data/job-with-namespace-elements.xml")) assert job.jobinfo is not None progress = job.jobinfo.get('progress') assert progress is not None # Assert that the value is the last one of the elements with the same name assert progress.value == 75 unique_elem = job.jobinfo.get('uniqueElement') assert unique_elem is not None keys = job.jobinfo.keys() assert len(keys) > 0 def test_multiple_elements_same_name(self): job = uws.parse_job(get_pkg_data_filename( "data/job-with-duplicate-elements.xml")) assert job.jobinfo is not None _ = [key for key in job.jobinfo.keys() if 'status' in key] status = job.jobinfo['status'] assert status.value == "completed" def test_empty_jobinfo(self): job = uws.parse_job(get_pkg_data_filename( "data/job-with-empty-jobinfo.xml")) assert job.jobinfo is not None assert len(job.jobinfo.keys()) == 0 assert len(job.jobinfo._elements) == 0 def test_jobinfo_numeric_content_conversion(self): element = ExtensibleUWSElement(config={}, pos=(1, 1), _name='test') element.content = 100 assert not isinstance(element.content, str) assert element.content == 100 element.parse(iter([]), {}) assert element.text == "100" assert element.value == 100 assert isinstance(element.text, str) astropy-pyvo-b70558c/pyvo/io/uws/tree.py000066400000000000000000000373261510533647000203170ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ This file contains xml element classes as defined in the VOResource standard. """ from functools import partial from astropy.utils.collections import HomogeneousList from astropy.time import Time, TimeDelta from ...utils.xml.elements import ( xmlattribute, xmlelement, Element, ContentMixin) uwselement = partial(xmlelement, ns='uws') def XSInDate(val): if not val: return None try: return Time(val, format='iso') except ValueError: pass try: return Time(val, format='isot') except ValueError: pass raise ValueError(f'Cannot parse datetime {val}') InDuration = partial(TimeDelta, format='sec') XSOutDate = partial(Time, out_subfmt='date') __all__ = [ 'UWSElement', 'Reference', 'JobSummary', 'Parameters', 'Parameter', 'Results', 'Result', 'ExtensibleUWSElement', 'Jobs', 'JobInfo'] def _convert_boolean(value, default=None): return { 'false': False, '0': False, 'true': True, '1': True }.get(value, default) class UWSElement(Element): def __init__(self, config=None, pos=None, _name='', _ns='uws', **kwargs): super().__init__(config, pos, _name, 'uws', **kwargs) class Reference(UWSElement): """standard xlink references""" def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.type = kwargs.get('xlink:type') self.href = kwargs.get('xlink:href') @xmlattribute(name='xlink:type') def type(self): """the type of the result""" return self._type @type.setter def type(self, type_): self._type = type_ @xmlattribute(name='xlink:href') def href(self): """the url the result can be retrieved""" return self._href @href.setter def href(self, href): self._href = href class JobSummary(Element): def __init__(self, config=None, pos=None, _name='job', **kwargs): super().__init__(config, pos, _name, **kwargs) self.jobid = kwargs.get('id') self._runid = None self._ownerid = None self._phase = None self._quote = None self._creationtime = None self._starttime = None self._endtime = None self._executionduration = None self._destruction = None self._parameters = Parameters() self._results = Results() self._errorsummary = None self._message = None self._jobinfo = None @uwselement(name='jobId', plain=True) def jobid(self): """ The identifier for the job """ return self._jobid @jobid.setter def jobid(self, jobid): self._jobid = jobid @uwselement(name='runId', plain=True) def runid(self): """client supplied identifier""" return self._runid @runid.setter def runid(self, runid): self._runid = runid @uwselement(name='ownerId', plain=True) def ownerid(self): """the owner (creator) of the job""" return self._ownerid @ownerid.setter def ownerid(self, ownerid): self._ownerid = ownerid @uwselement(plain=True) def phase(self): """the execution phase""" return self._phase @phase.setter def phase(self, phase): self._phase = phase @uwselement(plain=True) def quote(self): """estimated completion time""" return self._quote @quote.setter def quote(self, quote): self._quote = XSInDate(quote) @quote.formatter def quote(self): try: return str(XSOutDate(self._quote)) except ValueError: return None @uwselement(name='creationTime', plain=True) def creationtime(self): """The instant at which the job was created.""" return self._creationtime @creationtime.setter def creationtime(self, creationtime): self._creationtime = XSInDate(creationtime) @creationtime.formatter def creationtime(self): try: return str(XSOutDate(self._creationtime)) except ValueError: return None @uwselement(name='startTime', plain=True) def starttime(self): """The instant at which the job started execution.""" return self._starttime @starttime.setter def starttime(self, starttime): self._starttime = XSInDate(starttime) @starttime.formatter def starttime(self): try: return str(XSOutDate(self._starttime)) except ValueError: return None @uwselement(name='endTime', plain=True) def endtime(self): """The instant at which the job finished execution""" return self._endtime @endtime.setter def endtime(self, endtime): self._endtime = XSInDate(endtime) @endtime.formatter def endtime(self): try: return str(XSOutDate(self._endtime)) except ValueError: return None @uwselement(name='executionDuration', plain=True) def executionduration(self): """ The duration (in seconds) for which the job should be allowed to run - a value of 0 is intended to mean unlimited """ return self._executionduration @executionduration.setter def executionduration(self, executionduration): if not isinstance(executionduration, TimeDelta): executionduration = InDuration(float(executionduration)) self._executionduration = executionduration @executionduration.formatter def executionduration(self): if self.executionduration: return str(int(self._executionduration.value)) @uwselement(plain=True) def destruction(self): """The time at which the whole job will be destroyed""" return self._destruction @destruction.setter def destruction(self, destruction): self._destruction = XSInDate(destruction) @destruction.formatter def destruction(self): try: return str(XSOutDate(self._destruction)) except ValueError: return None @uwselement def parameters(self): """The parameters to the job""" return self._parameters @parameters.adder def parameters(self, iterator, tag, data, config, pos): parameters = Parameters(config, pos, 'parameters', **data) parameters.parse(iterator, config) self._parameters = parameters @uwselement def results(self): """The results for the job""" return self._results @results.adder def results(self, iterator, tag, data, config, pos): results = Results(config, pos, 'results', **data) results.parse(iterator, config) self._results = results @uwselement(name='errorSummary', plain=True) def errorsummary(self): """The error summary of the job.""" return self._errorsummary @errorsummary.adder def errorsummary(self, iterator, tag, data, config, pos): res = ErrorSummary(config, pos, 'errorSummary', **data) res.parse(iterator, config) self._errorsummary = res @uwselement(name='jobInfo', plain=True) # ← Add plain=True def jobinfo(self): """Implementation-specific job information""" return self._jobinfo @jobinfo.adder def jobinfo(self, iterator, tag, data, config, pos): jobinfo = JobInfo(config, pos, 'jobInfo', **data) jobinfo.parse(iterator, config) self._jobinfo = jobinfo class Jobs(HomogeneousList, UWSElement): """A parsed representation of the joblist endpoint. """ def __init__(self, config=None, pos=None, _name='jobs', **kwargs): HomogeneousList.__init__(self, JobSummary) UWSElement.__init__(self, config, pos, _name, **kwargs) @uwselement def jobs(self): return self @jobs.adder def jobs(self, iterator, tag, data, config, pos): return @uwselement(name='jobref') def joblist(self): return self @joblist.adder def joblist(self, iterator, tag, data, config, pos): job = JobSummary(config, pos, 'jobref', **data) job.parse(iterator, config) self.append(job) class Parameters(UWSElement, HomogeneousList): """ Parameters element of a job """ def __init__(self, config=None, pos=None, _name='parameters', **kwargs): """ """ # Note: Above is a load-bearing empty comment. # Do not remove, or else the Sphinx build may fail (see PR #193). HomogeneousList.__init__(self, Parameter) UWSElement.__init__(self, config, pos, _name, **kwargs) @uwselement(name='parameter') def parameters(self): return self @parameters.adder def parameters(self, iterator, tag, data, config, pos): parameter = Parameter(config, pos, 'parameter', **data) parameter.parse(iterator, config) self.append(parameter) class Parameter(ContentMixin, UWSElement): def __init__(self, config=None, pos=None, _name='parameter', **kwargs): super().__init__(config, pos, _name, **kwargs) self.byreference = _convert_boolean(kwargs.get('byReference')) self.id_ = kwargs.get('id') @xmlattribute def byreference(self): """ if this attribute is true then the content of the parameter represents a URL to retrieve the actual parameter value. """ return self._byreference @byreference.setter def byreference(self, byreference): self._byreference = byreference @xmlattribute(name='id') def id_(self): """the identifier for the parameter""" return self._id @id_.setter def id_(self, id_): self._id = id_ class Results(UWSElement, HomogeneousList): """ """ def __init__(self, config=None, pos=None, _name='results', **kwargs): HomogeneousList.__init__(self, Result) UWSElement.__init__(self, config, pos, _name, **kwargs) @uwselement(name='result') def results(self): return self @results.adder def results(self, iterator, tag, data, config, pos): result = Result(config, pos, 'result', **data) result.parse(iterator, config) self.append(result) class Result(Reference, UWSElement): """A reference to a UWS result.""" def __init__(self, config=None, pos=None, _name='result', **kwargs): super().__init__(config, pos, _name, **kwargs) self.id_ = kwargs.get('id') self.size = int(kwargs.get('size') or 0) self.mimetype = kwargs.get('mime-type') @xmlattribute(name='id') def id_(self): """the identifier for the result""" return self._id @id_.setter def id_(self, id_): self._id = id_ @xmlattribute def size(self): """the size of the result""" return self._size @size.setter def size(self, size): self._size = size @xmlattribute def mimetype(self): """the mimetype of the result""" return self._mimetype @mimetype.setter def mimetype(self, mimetype): self._mimetype = mimetype class ErrorSummary(UWSElement): """A UWS Error summary.""" def __init__(self, config=None, pos=None, _name='errorSummary', **kwargs): super().__init__(config, pos, _name, **kwargs) self.type_ = kwargs.get('type') self.has_detail = _convert_boolean(kwargs.get('hasDetail')) self.message = None @xmlattribute(name='type') def type_(self): """the type of the error""" return self._type @type_.setter def type_(self, type_): self._type = type_ @xmlattribute def has_detail(self): """whether error has details""" return self._has_detail @has_detail.setter def has_detail(self, has_detail): self._has_detail = has_detail @uwselement(name='message') def message(self): """The error message""" return self._message @message.setter def message(self, message): self._message = message class Message(ContentMixin, UWSElement): """The actual UWS Error message.""" def __init__(self, config=None, pos=None, _name='message', **kwargs): super().__init__(config, pos, _name, **kwargs) class ExtensibleUWSElement(ContentMixin, UWSElement): """ UWS Element that can handle arbitrary child elements. """ def __init__(self, config=None, pos=None, _name='', **kwargs): super().__init__(config, pos, _name, **kwargs) self._elements = {} self._text_content = None self._name = _name def _add_unknown_tag(self, iterator, tag, data, config, pos): """Handle unknown tags without generating warnings Parameters ---------- iterator : iterator The iterator that provides the XML elements. tag : str The tag name of the unknown element. data : dict Additional data associated. config : dict Configuration options. pos : tuple The position of the element in the XML document (line, column). Returns ------- ExtensibleUWSElement object """ element = ExtensibleUWSElement(config, pos, tag, **data) element.parse(iterator, config) # Last element with the same tag wins self._elements[tag] = element return element def parse(self, iterator, config): """Override parse to capture text content for leaf elements""" super().parse(iterator, config) # Capture text content from ContentMixin if hasattr(self, 'content') and self.content is not None: if isinstance(self.content, str): self._text_content = self.content.strip() else: self._text_content = str(self.content).strip() if self.content else None @property def text(self): """Get the text content of this element""" if self._text_content is not None and self._text_content.strip(): return self._text_content if hasattr(self, 'content') and self.content is not None: content_str = str(self.content).strip() return content_str if content_str else None return None @property def value(self): """Get the text content converted to appropriate type""" text = self.text if not text: return None # Try to convert to int, float, if not leave as string try: return int(text) except ValueError: try: return float(text) except ValueError: return text def get(self, name, default=None): """Get element by name (supports both local names and full namespaced names)""" return self._elements.get(name, default) def keys(self): """Return all available keys (both local and namespaced)""" return list(self._elements.keys()) def __contains__(self, name): """Support 'in' operator""" return name in self._elements def __getitem__(self, name): """Dict-like access""" if name not in self._elements: raise KeyError(f"Element '{name}' not found") return self._elements[name] def __str__(self): if self._text_content: return self._text_content return f"<{self._name} with {len(set(self._elements.values()))} children>" def __repr__(self): unique_elements = len(set(self._elements.values())) return f"ExtensibleUWSElement(name='{self._name}', elements={unique_elements})" class JobInfo(ExtensibleUWSElement): """JobInfo element that can contain arbitrary elements.""" def __init__(self, config=None, pos=None, _name='jobInfo', **kwargs): super().__init__(config, pos, _name, **kwargs) astropy-pyvo-b70558c/pyvo/io/vosi/000077500000000000000000000000001510533647000171355ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/io/vosi/__init__.py000066400000000000000000000002131510533647000212420ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst from .endpoint import parse_tables, parse_capabilities, parse_availability astropy-pyvo-b70558c/pyvo/io/vosi/availability.py000066400000000000000000000034171510533647000221660ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst from astropy.utils.collections import HomogeneousList from ...utils.xml.elements import xmlelement, Element from .exceptions import W32, W33, W34, W35 __all__ = ["Availability"] ###################################################################### # FACTORY FUNCTIONS def _convert_boolean(value, default=None): return { 'false': False, '0': False, 'true': True, '1': True }.get(value, default) ###################################################################### # ELEMENT CLASSES class Availability(Element): def __init__(self, config=None, pos=None, _name='availability', **kwargs): super().__init__(config, pos, _name, **kwargs) self._available = None self._upsince = None self._downat = None self._backat = None self._notes = HomogeneousList(str) @xmlelement(plain=True, multiple_exc=W32) def available(self): return self._available @available.setter def available(self, available): self._available = _convert_boolean(available) @xmlelement(name='upSince', plain=True, multiple_exc=W33) def upsince(self): return self._upsince @upsince.setter def upsince(self, upsince): self._upsince = upsince @xmlelement(name='downAt', plain=True, multiple_exc=W34) def downat(self): return self._downat @downat.setter def downat(self, downat): self._downat = downat @xmlelement(name='backAt', plain=True, multiple_exc=W35) def backat(self): return self._backat @backat.setter def backat(self, backat): self._backat = backat @xmlelement(name='note', plain=True) def notes(self): return self._notes astropy-pyvo-b70558c/pyvo/io/vosi/endpoint.py000066400000000000000000000300531510533647000213300ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ This file contains a contains the high-level functions to read the various VOSI Endpoints. """ from astropy.utils.xml import iterparser from astropy.utils.collections import HomogeneousList from astropy.io.votable.exceptions import vo_raise, vo_warn from astropy.io.votable.util import version_compare from ...utils.xml.elements import xmlattribute, xmlelement, Element from . import voresource as vr from . import vodataservice as vs from . import availability as av from .exceptions import W15, W16, E07, E10 __all__ = [ "parse_tables", "parse_capabilities", "parse_availability", "TablesFile", "CapabilitiesFile", "AvailabilityFile"] def _pedantic_settings(pedantic): """ Controls the pedantic parser settings. Based on the bool passed in to pedantic, create a config to be passed to astropy parsing to raise exceptions or ignore them on pedantic errors. Parameters ---------- pedantic : bool When `True`, raise an error when the file violates the spec, otherwise issue a warning. Warnings may be controlled using the standard Python mechanisms. See the `warnings` module in the Python standard library for more information. Returns ------- A dict containing 'verify' configuration settings. """ if pedantic: return {'verify': 'exception'} else: return {'verify': 'warn'} def parse_tables(source, *, pedantic=None, filename=None, _debug_python_based_parser=False): """ Parses a tableset xml file (or file-like object), and returns a `~pyvo.io.vosi.endpoint.TablesFile` object. Parameters ---------- source : str or readable file-like object Path or file object containing a tableset xml file. pedantic : bool, optional When `True`, raise an error when the file violates the spec, otherwise issue a warning. Warnings may be controlled using the standard Python mechanisms. See the `warnings` module in the Python standard library for more information. Defaults to False. filename : str, optional A filename, URL or other identifier to use in error messages. If *filename* is None and *source* is a string (i.e. a path), then *source* will be used as a filename for error messages. Therefore, *filename* is only required when source is a file-like object. _debug_python_based_parser : bool, optional If `True`, use the Python-based parser. This is useful for debugging purposes. Defaults to False. Returns ------- tables_file : `~pyvo.io.vosi.endpoint.TablesFile` object See also -------- pyvo.io.vosi.exceptions : The exceptions this function may raise. """ config = _pedantic_settings(pedantic) if filename is None and isinstance(source, str): config['filename'] = source else: config['filename'] = filename with iterparser.get_xml_iterator( source, _debug_python_based_parser=_debug_python_based_parser ) as iterator: return TablesFile( config=config, pos=(1, 1)).parse(iterator, config) def parse_capabilities(source, *, pedantic=None, filename=None, _debug_python_based_parser=False): """ Parses a capabilities xml file (or file-like object), and returns a `~pyvo.io.vosi.endpoint.CapabilitiesFile` object. Parameters ---------- source : str or readable file-like object Path or file object containing a capabilities xml file. pedantic : bool, optional When `True`, raise an error when the file violates the spec, otherwise issue a warning. Warnings may be controlled using the standard Python mechanisms. See the `warnings` module in the Python standard library for more information. Defaults to False. filename : str, optional A filename, URL or other identifier to use in error messages. If *filename* is None and *source* is a string (i.e. a path), then *source* will be used as a filename for error messages. Therefore, *filename* is only required when source is a file-like object. _debug_python_based_parser : bool, optional If `True`, use the Python-based parser. This is useful for debugging purposes. Defaults to False. Returns ------- capabilities_file : `~pyvo.io.vosi.endpoint.CapabilitiesFile` object See also -------- pyvo.io.vosi.exceptions : The exceptions this function may raise. """ config = _pedantic_settings(pedantic) if filename is None and isinstance(source, str): config['filename'] = source else: config['filename'] = filename with iterparser.get_xml_iterator( source, _debug_python_based_parser=_debug_python_based_parser ) as iterator: return CapabilitiesFile( config=config, pos=(1, 1)).parse(iterator, config) def parse_availability(source, *, pedantic=None, filename=None, _debug_python_based_parser=False): """ Parses a availability xml file (or file-like object), and returns a `~pyvo.io.vosi.endpoint.AvailabilityFile` object. Parameters ---------- source : str or readable file-like object Path or file object containing a availability xml file. pedantic : bool, optional When `True`, raise an error when the file violates the spec, otherwise issue a warning. Warnings may be controlled using the standard Python mechanisms. See the `warnings` module in the Python standard library for more information. Defaults to False. filename : str, optional A filename, URL or other identifier to use in error messages. If *filename* is None and *source* is a string (i.e. a path), then *source* will be used as a filename for error messages. Therefore, *filename* is only required when source is a file-like object. _debug_python_based_parser : bool, optional If `True`, use the Python-based parser. This is useful for debugging purposes. Defaults to False. Returns ------- availability_file : `~pyvo.io.vosi.endpoint.AvailabilityFile` object See also -------- pyvo.io.vosi.exceptions : The exceptions this function may raise. """ config = _pedantic_settings(pedantic) if filename is None and isinstance(source, str): config['filename'] = source else: config['filename'] = filename with iterparser.get_xml_iterator( source, _debug_python_based_parser=_debug_python_based_parser ) as iterator: return AvailabilityFile( config=config, pos=(1, 1)).parse(iterator, config) class TablesFile(Element): """ TABLESET/TABLE element: represents an entire file. The keyword arguments correspond to setting members of the same name, documented below. """ def __init__(self, *, config=None, pos=None, version="1.1"): Element.__init__(self, config, pos) self._tableset = None self._table = None self._ntables = None version = str(version) if version not in ("1.0", "1.1"): raise ValueError("'version' should be one of '1.0' or '1.1'") config['version'] = version self._version = version def __repr__(self): if self.table: return repr(self.table) elif self.tableset: return repr(self.tableset) else: return super().__repr__() @xmlattribute def version(self): """ The version of the TableSet specification that the file uses. """ return self._version @version.setter def version(self, version): version = str(version) if version not in ('1.0', '1.1'): raise ValueError( "pyvo.io.vosi.tables only supports VOSI versions 1.0 and 1.1") self._version = version @xmlelement def tableset(self): """ The tableset. Must be a `~pyvo.io.vosi.vodataservice.TableSet` object. """ return self._tableset @tableset.setter def tableset(self, tableset): self._tableset = tableset @tableset.adder def tableset(self, iterator, tag, data, config, pos): tableset = vs.TableSet(config, pos, 'tableset', **data) tableset.parse(iterator, config) self._tableset = tableset @xmlelement(cls=vs.VODataServiceTable) def table(self): """ The `~pyvo.io.vosi.vodataservice.VODataServiceTable` root element if present. """ return self._table @table.setter def table(self, table): self._table = table @property def ntables(self): """ The number of tables in the file. """ return self._ntables def parse(self, iterator, config): super().parse(iterator, config) if self.tableset is None and self.table is None: vo_raise(E07, config=config, pos=self._pos) self._version = config['version'] if config['version'] not in ('1.0', '1.1'): vo_warn(W15, config=config, pos=self._pos) if self.table: if version_compare(config['version'], '1.1') < 0: vo_warn(W16, config=config, pos=self._pos) self._ntables = 1 else: self._ntables = sum( len(schema.tables) for schema in self.tableset.schemas) return self def iter_tables(self): """ Iterates over all tables in the VOSITables file in a "flat" way, ignoring the schemas. """ if self.table: yield self.table else: for schema in self.tableset.schemas: yield from schema.tables def get_first_table(self): """ When you parse table metadata for a single table here is only one table in the file, and that's all you need. This method returns that first table. """ for table in self.iter_tables(): return table raise IndexError("No table found in VOSITables file.") def get_table_by_name(self, name): """ Looks up a table element by the given name. """ for table in self.iter_tables(): if table.name == name: return table raise KeyError(f"No table with name {name} found") class CapabilitiesFile(Element, HomogeneousList): """ capabilities element: represents an entire file. The keyword arguments correspond to setting members of the same name, documented below. """ def __init__(self, *, config=None, pos=None, _name='capabilities', **kwargs): Element.__init__(self, config=config, pos=pos, **kwargs) HomogeneousList.__init__(self, vr.Capability) @xmlelement(name='capability') def capabilities(self): """List of `~pyvo.io.vosi.voresource.Capability` objects""" return self @capabilities.adder def capabilities(self, iterator, tag, data, config, pos): capability = vr.Capability(config, pos, 'capability', **data) capability.parse(iterator, config) self.append(capability) def parse(self, iterator, config): for start, tag, data, pos in iterator: if start: if tag == "xml": pass elif tag == "capabilities": break else: vo_raise(E10, config=config, pos=pos) super().parse(iterator, config) return self class AvailabilityFile(av.Availability): """ availability element: represents an entire file. The keyword arguments correspond to setting members of the same name, documented below. """ def parse(self, iterator, config): for start, tag, data, pos in iterator: if start: if tag == 'xml': pass elif tag == 'availability': break super().parse(iterator, config) return self astropy-pyvo-b70558c/pyvo/io/vosi/exceptions.py000066400000000000000000000340541510533647000216760ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ .. _warnings: Warnings -------- .. note:: Most of the following warnings indicate violations of the VOSI specification. They should be reported to the authors of the tools that produced the VOSI file. To control the warnings emitted, use the standard Python :mod:`warnings` module. Most of these are of the type `VOSISpecWarning`. {warnings} .. _exceptions: Exceptions ---------- .. note:: This is a list of many of the fatal exceptions emitted by vosi.endpoint when the file does not conform to spec. Other exceptions may be raised due to unforeseen cases or bugs in vosi.endpoint itself. {exceptions} """ from astropy.utils.exceptions import AstropyWarning from ...utils.xml.exceptions import XMLWarning __all__ = ["VOSIWarning"] __all__ += [f"W{i:0>2}" for i in range(1, 36)] __all__ += [f"E{i:0>2}" for i in range(1, 10)] class VOSIWarning(AstropyWarning): """ The base class of all VOSI warnings and exceptions. Handles the formatting of the message with a warning or exception code, filename, line and column number. """ class W01(VOSIWarning, XMLWarning): """ The attribute must be a valid URI as defined in `RFC 2396 `_. """ message_template = "'{}' is not a valid URI" default_args = ('x',) class W02(VOSIWarning, XMLWarning): """ The attribute must be any of the accepted types in the VOSI spec. """ message_template = ( "'{}' is not a valid datatype according to the VOSI spec") default_args = ('x',) class W03(VOSIWarning, XMLWarning): """ The attribute must be an positive integer. """ message_template = "Size must be positive" class W04(VOSIWarning, XMLWarning): """ The attribute must have one of the recognized values 'indexed', 'primary', 'nullable'. """ message_template = "'{}' is not a recognized flag" default_args = ('x',) class W05(VOSIWarning, XMLWarning): """ A ``name`` element can only appear once within its parent element. According to the schema, it may only occur once (`1.1 `__, """ message_template = "{} element contains more than one name element" default_args = ('x',) class W06(VOSIWarning, XMLWarning): """ A ``description`` element can only appear once within its parent element. According to the schema, it may only occur once (`1.1 `__, """ message_template = "{} element contains more than one description element" default_args = ('x',) class W07(VOSIWarning, XMLWarning): """ A ``unit`` element can only appear once within its parent element. According to the schema, it may only occur once (`1.1 `__, """ message_template = "{} element contains more than one unit element" default_args = ('x',) class W08(VOSIWarning, XMLWarning): """ A ``ucd`` element can only appear once within its parent element. According to the schema, it may only occur once (`1.1 `__, """ message_template = "{} element contains more than one ucd element" default_args = ('x',) class W09(VOSIWarning, XMLWarning): """ A ``utype`` element can only appear once within its parent element. According to the schema, it may only occur once (`1.1 `__, """ message_template = "{} element contains more than one utype element" default_args = ('x',) class W10(VOSIWarning, XMLWarning): """ A ``fromColumn`` element can only appear once within its parent element. According to the schema, it may only occur once (`1.1 `__, """ message_template = "{} element contains more than one fromColumn element" default_args = ('x',) class W11(VOSIWarning, XMLWarning): """ A ``targetColumn`` element can only appear once within its parent element. According to the schema, it may only occur once (`1.1 `__, """ message_template = "{} element contains more than one targetColumn element" default_args = ('x',) class W12(VOSIWarning, XMLWarning): """ A ``targetTable`` element can only appear once within its parent element. According to the schema, it may only occur once (`1.1 `__, """ message_template = "{} element contains more than one targetTable element" default_args = ('x',) class W13(VOSIWarning, XMLWarning): """ A ``title`` element can only appear once within its parent element. According to the schema, it may only occur once (`1.1 `__, """ message_template = "{} element contains more than one title element" default_args = ('x',) class W14(VOSIWarning, XMLWarning): """ The tableset element must contain at least one schema element. """ message_template = ( "tableset element must contain at least one schema element.") class W15(VOSIWarning, XMLWarning): """ Unknown issues may arise using ``dal`` with VOSITables files from a version other than 1.0 or 1.1 """ message_template = ( 'pyvo.dal is designed for VOSITables version 1.0, and 1.1, but ' + 'this file is {}') default_args = ('x',) class W16(VOSIWarning, XMLWarning): """ The table element is not a valid root element in VOSI before version 1.1 """ message_template = ( "The element table is not a valid root element in VOSI below v1.1") class W17(VOSIWarning, XMLWarning): """ A ``queryType`` element can only appear once within the ParamHTTP element. According to the schema, it may only occur once (`1.1 `__, """ message_template = ( "ParamHTTP element contains more than one ParamHTTP element") class W18(VOSIWarning, XMLWarning): """ The QueryType element must not occur more than two times. """ message_template = ( "The QueryType element must not occur more than two times.") class W19(VOSIWarning, XMLWarning): """ TAP Capabilities must not have an ivo-id other than ivo://ivoa.net/std/TAP """ message_template = ( "TAP Capabilities must not have an ivo-id other than " "ivo://ivoa.net/std/TAP" ) class W20(VOSIWarning, XMLWarning): """ TAP Capabilties must have at least one `language` element. """ message_template = ( "TAP Capabilties must have at least one `language` element.") class W21(VOSIWarning, XMLWarning): """ TAP Capabilties must have at least one outputFormat element. """ message_template = ( "TAP Capabilties must have at least one `outputFormat` element.") class W22(VOSIWarning, XMLWarning): """ The `retentionPeriod` element must not occur more than once. """ message_template = ( "The retentionPeriod element must not occur more than once") class W23(VOSIWarning, XMLWarning): """ The `executionDuration` element must not occur more than once. """ message_template = ( "The executionDuration element must not occur more than once") class W24(VOSIWarning, XMLWarning): """ The `outputLimit` element must not occur more than once. """ message_template = ( "The outputLimit element must not occur more than once") class W25(VOSIWarning, XMLWarning): """ The `uploadLimit` element must not occur more than once. """ message_template = ( "The uploadLimit element must not occur more than once") class W26(VOSIWarning, XMLWarning): """ The ivo-id attribute is mandatory. """ message_template = "The ivo-id attribute is mandatory" class W27(VOSIWarning, XMLWarning): """ The `form` element must not occur more than once. """ message_template = "The form element must not occur more than once" class W28(VOSIWarning, XMLWarning): """ The `mime` element must not occur more than once. """ message_template = "The mime element must not occur more than once" class W29(VOSIWarning, XMLWarning): """ The `default` element must not occur more than once. """ message_template = "The default element must not occur more than once" class W30(VOSIWarning, XMLWarning): """ The `hard` element must not occur more than once. """ message_template = "The hard element must not occur more than once" class W31(VOSIWarning, XMLWarning): """ The content of the `DataLimit` element must be byte or row """ message_template = ( "The content of the DataLimit element must be byte or row") class W32(VOSIWarning, XMLWarning): """ The `available` element must not occur more than once. """ message_template = "The available element must not occur more than once" class W33(VOSIWarning, XMLWarning): """ The `upSince` element must not occur more than once. """ message_template = "The upSince element must not occur more than once" class W34(VOSIWarning, XMLWarning): """ The `downAt` element must not occur more than once. """ message_template = "The downAt element must not occur more than once" class W35(VOSIWarning, XMLWarning): """ The `backAt` element must not occur more than once. """ message_template = "The backAt element must not occur more than once" class W36(VOSIWarning, XMLWarning): """ The `resultType` element must not occur more than once. """ message_template = "The resultType element must not occur more than once" class W37(VOSIWarning, XMLWarning): """ The `dataType` element must not occur more than once. """ message_template = "The dataType element must not occur more than once" class E01(VOSIWarning, XMLWarning, ValueError): r""" The attribute must be a valid arraysize according to the VOTable standard. From the VOTable 1.2 spec: A table cell can contain an array of a given primitive type, with a fixed or variable number of elements; the array may even be multidimensional. For instance, the position of a point in a 3D space can be defined by the following:: and each cell corresponding to that definition must contain exactly 3 numbers. An asterisk (\*) may be appended to indicate a variable number of elements in the array, as in:: where it is specified that each cell corresponding to that definition contains 0 to 100 integer numbers. The number may be omitted to specify an unbounded array (in practice up to =~2×10⁹ elements). A table cell can also contain a multidimensional array of a given primitive type. This is specified by a sequence of dimensions separated by the ``x`` character, with the first dimension changing fastest; as in the case of a simple array, the last dimension may be variable in length. As an example, the following definition declares a table cell which may contain a set of up to 10 images, each of 64×64 bytes:: **References**: `1.1 `__, `1.2 `__ """ message_template = "Invalid arraysize attribute '{}'" default_args = ('x',) class E02(VOSIWarning, XMLWarning, ValueError): """ The `FKColumn` element must have a `fromColumn`. """ message_template = "fkColumn element is missing a fromColumn" class E03(VOSIWarning, XMLWarning, ValueError): """ The element must have a `targetColumn`. """ message_template = "The element is missing a targetColumn" class E04(VOSIWarning, XMLWarning, ValueError): """ The element must have a `targetTable`. """ message_template = "The element is missing a targetTable" class E05(VOSIWarning, XMLWarning, ValueError): """ The element must contain at least one `fkColumn`. """ message_template = "The element contains no `fkColumn`" class E06(VOSIWarning, XMLWarning, ValueError): """ The element must have a ``name`` element. """ message_template = "The {} element must have a name element" default_args = ('x',) class E07(VOSIWarning, XMLWarning, ValueError): """ Raised either when the file doesn't appear to be XML, or the root element is not tableset or table. """ message_template = "File does not appear to be a VOSITables file" class E08(VOSIWarning, XMLWarning, ValueError): """ The element must have a ``version`` element. """ message_template = "The {} element must have a version element" default_args = ('x',) class E09(VOSIWarning, XMLWarning, ValueError): """ The element must have a ``form`` element. """ message_template = "The {} element must have a form element" default_args = ('x',) class E10(VOSIWarning, XMLWarning, ValueError): """ Raised when then file doesn't appear to be valid capabilities xml """ message_template = "File does not appear to be a VOSICapabilities file" class VOSIError(Exception): """ Raised for non-XML VOSI errors """ pass astropy-pyvo-b70558c/pyvo/io/vosi/tapregext.py000066400000000000000000000416771510533647000215310ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst from astropy.utils.collections import HomogeneousList from textwrap import indent from astropy.io.votable.exceptions import vo_raise, warn_or_raise from ...utils.xml.elements import ( Element, ContentMixin, xmlelement, xmlattribute) from . import voresource as vr from .exceptions import ( W05, W06, W19, W20, W21, W22, W23, W24, W25, W26, W27, W28, W29, W30, W31, E06, E08, E09, VOSIError) __all__ = [ "TAPCapRestriction", "TableAccess", "DataModelType", "Language", "Version", "LanguageFeatureList", "LanguageFeature", "OutputFormat", "UploadMethod", "TimeLimits", "DataLimits", "DataLimit"] INDENT = 4 * " " ###################################################################### # ELEMENT CLASSES class DataModelType(ContentMixin, Element): def __init__(self, config=None, pos=None, **kwargs): super().__init__(config=config, pos=pos, **kwargs) ivo_id = kwargs.get('ivo-id', None) if ivo_id is None: warn_or_raise(W26, W26, config=config, pos=pos) self.ivo_id = ivo_id def __repr__(self): return '{}'.format( self.ivo_id, self.content) def describe(self): """ Prints out a human readable description """ print(f"Datamodel {self.content}") print(indent(self.ivo_id, INDENT)) print() @xmlattribute(name='ivo-id') def ivo_id(self): """The IVORN of the data model.""" return self._ivo_id @ivo_id.setter def ivo_id(self, ivo_id): self._ivo_id = ivo_id class OutputFormat(Element): def __init__(self, config=None, pos=None, **kwargs): super().__init__(config=config, pos=pos, **kwargs) ivo_id = kwargs.get('ivo-id') self.mime = None self._aliases = HomogeneousList(str) self.ivo_id = ivo_id def __repr__(self): return '{}'.format( self.ivo_id, self.mime) def describe(self): """ Prints out a human readable description """ print(f'Output format {self.mime}') if self.aliases: print(indent('Also available as {}'.format(', '.join(self.aliases)), INDENT)) print() @xmlelement(plain=True, multiple_exc=W28) def mime(self): return self._mime @mime.setter def mime(self, mime): self._mime = mime @xmlelement(name='alias') def aliases(self): return self._aliases class UploadMethod(Element): def __init__(self, config=None, pos=None, **kwargs): super().__init__(config=config, pos=pos, **kwargs) ivo_id = kwargs.get('ivo-id') self.ivo_id = ivo_id def __repr__(self): return f'' def describe(self): """ Prints out a human readable description """ print("Upload method supported") print(indent(self.ivo_id, INDENT)) print() @xmlattribute(name='ivo-id') def ivo_id(self): """The IVORN of the upload model.""" return self._ivo_id @ivo_id.setter def ivo_id(self, ivo_id): self._ivo_id = ivo_id class TimeLimits(Element): def __init__(self, config=None, pos=None, **kwargs): super().__init__(config=config, pos=pos, **kwargs) self._default = None self._hard = None def __repr__(self): return ''.format( self.default, self.hard) @xmlelement(plain=True, multiple_exc=W29) def default(self): return self._default @default.setter def default(self, default): self._default = int(default) @xmlelement(plain=True, multiple_exc=W30) def hard(self): return self._hard @hard.setter def hard(self, hard): self._hard = int(hard) class LanguageFeature(Element): def __init__(self, config=None, pos=None, **kwargs): super().__init__(config=config, pos=pos, **kwargs) self.form = None self.description = None @xmlelement(plain=True, multiple_exc=W27) def form(self): return self._form @form.setter def form(self, form): self._form = form @xmlelement(plain=True, multiple_exc=W06) def description(self): return self._description @description.setter def description(self, description): self._description = description def parse(self, iterator, config): super().parse(iterator, config) if not self.form: vo_raise(E09, self._element_name, config=config, pos=self._pos) class LanguageFeatureList(Element, HomogeneousList): def __init__( self, config=None, pos=None, _name='languageFeatures', **kwargs ): Element.__init__(self, config, pos, _name, **kwargs) HomogeneousList.__init__(self, LanguageFeature) self.type = kwargs.get('type') self._features = HomogeneousList(LanguageFeature) @xmlattribute def type(self): return self._type @type.setter def type(self, type_): self._type = type_ @xmlelement(name='feature', cls=LanguageFeature) def features(self): return self class Version(ContentMixin, Element): def __init__(self, config=None, pos=None, **kwargs): super().__init__(config=config, pos=pos, **kwargs) ivo_id = kwargs.get('ivo-id') self.ivo_id = ivo_id def __repr__(self): return '{}'.format( self.ivo_id, self.content) @xmlattribute(name='ivo-id') def ivo_id(self): """The IVORN of the version.""" return self._ivo_id @ivo_id.setter def ivo_id(self, ivo_id): self._ivo_id = ivo_id class Language(Element): def __init__(self, config=None, pos=None, **kwargs): super().__init__(config=config, pos=pos, **kwargs) self.name = None self._versions = HomogeneousList(Version) self.description = None self._languagefeaturelists = HomogeneousList(LanguageFeatureList) def __repr__(self): return f'{self.name}' def describe(self): """ Prints out a human readable description """ print(f"Language {self.name}") for languagefeaturelist in self.languagefeaturelists: print(indent(languagefeaturelist.type, INDENT)) for feature in languagefeaturelist: print(indent(feature.form, 2 * INDENT)) if feature.description: print(indent(feature.description, 3 * INDENT)) print() print() def get_feature_list(self, ivoid): """ returns a list of features groupd with the features id ivoid. Parameters ---------- ivoid : the ivoid of a TAPRegExt feature list. It is compared case-insensitively against the service's ivoids. Returns ------- A (possibly empty) list of `~pyvo.io.vosi.tapregext.LanguageFeature` elements """ ivoid = ivoid.lower() for features in self.languagefeaturelists: if features.type.lower() == ivoid: return features return [] def get_feature(self, ivoid, form): """ returns the `~pyvo.io.vosi.tapregext.LanguageFeature` with ivoid and form if present. We return None rather than raising an error because we expect the normal pattern of usage here will be "if feature is present", and with None-s this is simpler to write than with exceptions. Since it's hard to predict the form of UDFs, for those rather use the get_udf method. ivoid (regrettably) has to be compared case-insensitively; form is compared case-sensitively. Parameters ---------- ivoid : str The IVOA identifier of the feature group the form is in form : str The form of the feature requested Returns ------- A `~pyvo.io.vosi.tapregext.LanguageFeature` or None. """ for feature in self.get_feature_list(ivoid): if feature.form == form: return feature return None def get_udf(self, function_name): """ returns a `~pyvo.io.vosi.tapregext.LanguageFeature` corresponding to an ADQL user defined function on the server, on None if the UDF is not available. This is a bit heuristic in that it tries to parse the form, which is specified only so-so. Parameters ---------- function_name : str A function name. This is matched against the server's function names case-insensitively, as guided by ADQL's case insensitivity. Returns: A `~pyvo.io.vosi.tapregext.LanguageFeature` instance or None. """ function_name = function_name.lower() for udf in self.get_feature_list( "ivo://ivoa.net/std/TAPRegExt#features-udf"): this_name = udf.form.split("(")[0].strip() if this_name.lower() == function_name: return udf return None @xmlelement(plain=True, multiple_exc=W05) def name(self): return self._name @name.setter def name(self, name): self._name = name @xmlelement(name='version', cls=Version) def versions(self): return self._versions @xmlelement(plain=True, multiple_exc=W06) def description(self): return self._description @description.setter def description(self, description): self._description = description @xmlelement(name='languageFeatures', cls=LanguageFeatureList) def languagefeaturelists(self): return self._languagefeaturelists def parse(self, iterator, config): super().parse(iterator, config) if not self.name: vo_raise(E06, self._element_name, config=config, pos=self._pos) if not self.versions: vo_raise(E08, self._element_name, config=config, pos=self._pos) class DataLimit(ContentMixin, Element): def __init__(self, unit=None, config=None, pos=None, **kwargs): super().__init__(config=config, pos=pos, **kwargs) self.unit = unit def __str__(self): return f"{self.unit}:{self.content}" @xmlattribute def unit(self): return self._unit @unit.setter def unit(self, unit): self._unit = unit @property def content(self): return self._content @content.setter def content(self, content): self._content = int(content) def parse(self, iterator, config): super().parse(iterator, config) if self.unit not in ('byte', 'row'): warn_or_raise(W31, W31, config=config, pos=self._pos) class DataLimits(Element): def __init__(self, config=None, pos=None, **kwargs): super().__init__(config=config, pos=pos, **kwargs) self.default = None self.hard = None def __repr__(self): parts = [] if self.default is not None: parts.append("default={self.default}") if self.hard is not None: parts.append("hard={self.hard}") return ''.format(" ".join(parts)) @xmlelement(cls=DataLimit, multiple_exc=W29) def default(self): return self._default @default.setter def default(self, default): self._default = default @xmlelement(cls=DataLimit, multiple_exc=W30) def hard(self): return self._hard @hard.setter def hard(self, hard): self._hard = hard class TAPCapRestriction(vr.Capability): def __init__( self, config=None, pos=None, _name='capability', standardID=None, **kwargs ): if standardID != 'ivo://ivoa.net/std/TAP': warn_or_raise(W19, W19, config=config, pos=pos) super().__init__( config, pos, _name, standardID='ivo://ivoa.net/std/TAP', **kwargs) @vr.Capability.register_xsi_type('tr:TableAccess') class TableAccess(TAPCapRestriction): def __init__(self, config=None, pos=None, _name='capability', **kwargs): super().__init__(config, pos, _name, **kwargs) self._datamodels = HomogeneousList(DataModelType) self._languages = HomogeneousList(Language) self._outputformats = HomogeneousList(OutputFormat) self._uploadmethods = HomogeneousList(UploadMethod) self.retentionperiod = None self.executionduration = None self.outputlimit = None self.uploadlimit = None def describe(self): """ Prints out a human readable description """ super().describe() for datamodel in self.datamodels: datamodel.describe() for language in self.languages: language.describe() for outputformat in self.outputformats: outputformat.describe() for uploadmethod in self.uploadmethods: uploadmethod.describe() if self.retentionperiod: print("Time a job is kept (in seconds)") print(indent(f"Default {self.retentionperiod.default}", INDENT)) if self.retentionperiod.hard: print(indent(f"Maximum {self.retentionperiod.hard}", INDENT)) print() if self.executionduration: print("Maximal run time of a job") print(indent(f"Default {self.executionduration.default}", INDENT)) if self.executionduration.hard: print(indent(f"Maximum {self.executionduration.hard}", INDENT)) print() if self.outputlimit: print("Maximum size of resultsets") print(indent("Default {} {}".format( self.outputlimit.default.content, self.outputlimit.default.unit), INDENT) ) if self.outputlimit.hard: print(indent("Maximum {} {}".format( self.outputlimit.hard.content, self.outputlimit.hard.unit), INDENT) ) print() if self.uploadlimit and self.uploadlimit.hard: print("Maximal size of uploads") print(indent("Maximum {} {}".format( self.uploadlimit.hard.content, self.uploadlimit.hard.unit), INDENT)) print() def get_adql(self): """ returns the (first) ADQL language element on this service. ADQL support is mandatory for IVOA TAP, so in general you can rely on this being present. """ for lang in self.languages: if lang.name == "ADQL": return lang raise VOSIError( "Invalid TAP service: Does not declare an ADQL language") @xmlelement(name='dataModel', cls=DataModelType) def datamodels(self): """Identifier of IVOA-approved data model supported by the service.""" return self._datamodels @xmlelement(name='language', cls=Language) def languages(self): """Languages supported by the service.""" return self._languages @xmlelement(name='outputFormat', cls=OutputFormat) def outputformats(self): """Output formats supported by the service.""" return self._outputformats @xmlelement(name='uploadMethod', cls=UploadMethod) def uploadmethods(self): """ Upload methods supported by the service. The absence of upload methods indicates that the service does not support uploads at all. """ return self._uploadmethods @xmlelement(name='retentionPeriod', cls=TimeLimits, multiple_exc=W22) def retentionperiod(self): """Limits on the time between job creation and destruction time.""" return self._retentionperiod @retentionperiod.setter def retentionperiod(self, retentionperiod): self._retentionperiod = retentionperiod @xmlelement(name='executionDuration', cls=TimeLimits, multiple_exc=W23) def executionduration(self): """Limits on executionDuration.""" return self._executionduration @executionduration.setter def executionduration(self, executionduration): self._executionduration = executionduration @xmlelement(name='outputLimit', cls=DataLimits, multiple_exc=W24) def outputlimit(self): """Limits on the size of data returned.""" return self._outputlimit @outputlimit.setter def outputlimit(self, outputlimit): self._outputlimit = outputlimit @xmlelement(name='uploadLimit', cls=DataLimits, multiple_exc=W25) def uploadlimit(self): return self._uploadlimit @uploadlimit.setter def uploadlimit(self, uploadlimit, cls=DataLimits): self._uploadlimit = uploadlimit def parse(self, iterator, config): super().parse(iterator, config) if not self.languages: warn_or_raise(W20, W20, config=config, pos=self._pos) if not self.outputformats: warn_or_raise(W21, W21, config=config, pos=self._pos) astropy-pyvo-b70558c/pyvo/io/vosi/tests/000077500000000000000000000000001510533647000202775ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/io/vosi/tests/__init__.py000066400000000000000000000001001510533647000223770ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/000077500000000000000000000000001510533647000212105ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/availability.xml000066400000000000000000000011451510533647000244050ustar00rootroot00000000000000 true 2000-00-00T00:00:00Z 2666-00-00T00:00:00Z 2666-23-23T13:37:00Z foo bar astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/capabilities.xml000066400000000000000000000077671510533647000244040ustar00rootroot00000000000000 http://example.org/tap/availability https://example.org/tap/availability http://example.org/tap/capabilities https://example.org/tap/capabilities http://example.org/tap/tables https://example.org/tap/tables http://example.org/tap https://example.org/tap https://paris.example.org/tap QUERY=SELECT%20*%20FROM%20tap_schema.tables&LANG=ADQL Obscore-1.1 Registry 1.0 GloTS 1.0 Obscore-1.0 ADQL 2.0 ADQL 2.0
form 1
description 1
form 2
description 2
BOX
POINT
 text/xml text/html html 172800 3600 2000 10000000 100000000 astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/capabilities/000077500000000000000000000000001510533647000236415ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/capabilities/minimal-tapregext.xml000066400000000000000000000036241510533647000300170ustar00rootroot00000000000000 http://example.org/tap/capabilities http://example.org/tap/tables http://example.org/tap ADQL 2.0 ADQL 2.0 text/xml astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/capabilities/multiple_capa_descriptions.xml000066400000000000000000000022101510533647000317630ustar00rootroot00000000000000 one two astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables.xml000066400000000000000000000026561510533647000232150ustar00rootroot00000000000000 test This is a unittest schema test.allTest tableAll test data in one tableutype30 id Primary key unit meta.id;meta.main utype VARCHAR indexed primary test.foreigntable testkey testkey Test foreigner utype
astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/000077500000000000000000000000001510533647000224625ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/datatypes_tap.xml000066400000000000000000000107421510533647000260520ustar00rootroot00000000000000 test test.tap _boolean BOOLEAN _smallint SMALLINT _integer INTEGER _bigint BIGINT _real REAL _double DOUBLE _timestamp TIMESTAMP _char CHAR _varchar VARCHAR _binary BINARY _varbinary VARBINARY _point POINT _region REGION _clob CLOB _blob BLOB
test.taptype _boolean BOOLEAN _smallint SMALLINT _integer INTEGER _bigint BIGINT _real REAL _double DOUBLE _timestamp TIMESTAMP _char CHAR _varchar VARCHAR _binary BINARY _varbinary VARBINARY _point POINT _region REGION _clob CLOB _blob BLOB
astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/datatypes_votable.xml000066400000000000000000000075501510533647000267250ustar00rootroot00000000000000 test test.votable _boolean boolean _bit bit _unsignedBytes unsignedByte _short short _int int _long long _char char _unicodeChar unicodeChar _float float _double double _floatComplex floatComplex _doubleComplex doubleComplex
test.votable _boolean boolean _bit bit _unsignedBytes unsignedByte _short short _int int _long long _char char _unicodeChar unicodeChar _float float _double double _floatComplex floatComplex _doubleComplex doubleComplex
astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/multiple_column_datatypes.xml000066400000000000000000000014141510533647000304720ustar00rootroot00000000000000 test test datatype int INTEGER
astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/multiple_column_descriptions.xml000066400000000000000000000013471510533647000312070ustar00rootroot00000000000000 test ucd test one two
astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/multiple_column_names.xml000066400000000000000000000012621510533647000276000ustar00rootroot00000000000000 test test one two
astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/multiple_column_ucds.xml000066400000000000000000000013071510533647000274330ustar00rootroot00000000000000 test ucd test one two
astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/multiple_column_units.xml000066400000000000000000000013141510533647000276350ustar00rootroot00000000000000 test test unit one two
astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/multiple_column_utypes.xml000066400000000000000000000013211510533647000300220ustar00rootroot00000000000000 test test utype one two
astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/multiple_foreignkey_descriptions.xml000066400000000000000000000020111510533647000320410ustar00rootroot00000000000000 test test foreigntable fromcolumn targetcolumn desc1 desc2 fromcolumn int
astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/multiple_foreignkey_utypes.xml000066400000000000000000000017631510533647000307010ustar00rootroot00000000000000 test test foreigntable fromcolumn targetcolumn utype1 utype2 fromcolumn int
astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/multiple_fromcolumns.xml000066400000000000000000000017451510533647000274720ustar00rootroot00000000000000 test test foreigntable fromcolumn fromcolumn targetcolumn fromcolumn int
astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/multiple_schema_descriptions.xml000066400000000000000000000012011510533647000311370ustar00rootroot00000000000000 descriptiontest one two astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/multiple_schema_names.xml000066400000000000000000000011041510533647000275360ustar00rootroot00000000000000 one two astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/multiple_schema_titles.xml000066400000000000000000000011431510533647000277420ustar00rootroot00000000000000 titletest one two astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/multiple_schema_utypes.xml000066400000000000000000000011431510533647000277670ustar00rootroot00000000000000 utypetest one two astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/multiple_table_descriptions.xml000066400000000000000000000012621510533647000307750ustar00rootroot00000000000000 test descriptiononetwo
 astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/multiple_table_names.xml000066400000000000000000000011671510533647000273760ustar00rootroot00000000000000 test onetwo
 astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/multiple_table_titles.xml000066400000000000000000000012241510533647000275710ustar00rootroot00000000000000 test titleonetwo
 astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/multiple_table_utypes.xml000066400000000000000000000012241510533647000276160ustar00rootroot00000000000000 test utypeonetwo
 astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/multiple_targetcolumns.xml000066400000000000000000000017531510533647000300140ustar00rootroot00000000000000 test test foreigntable fromcolumn targetcolumn targetcolumn fromcolumn int
astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/multiple_targettables.xml000066400000000000000000000017471510533647000276110ustar00rootroot00000000000000 test test foreigntable foreigntable fromcolumn targetcolumn fromcolumn int
astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/no_fromcolumn.xml000066400000000000000000000015141510533647000260620ustar00rootroot00000000000000 test test foreigntable fromcolumn int
astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/no_schema_name.xml000066400000000000000000000010321510533647000261340ustar00rootroot00000000000000 astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/no_schemas.xml000066400000000000000000000010031510533647000253150ustar00rootroot00000000000000 astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/no_table_description.xml000066400000000000000000000011501510533647000273670ustar00rootroot00000000000000 test description
 astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/no_table_name.xml000066400000000000000000000011041510533647000257630ustar00rootroot00000000000000 test
astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/no_targetcolumn.xml000066400000000000000000000016031510533647000264040ustar00rootroot00000000000000 test test foreigntable fromcolumn fromcolumn int
astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/single_table_description.xml000066400000000000000000000012601510533647000302360ustar00rootroot00000000000000 test descriptionA test table with a single description
 astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/sizenegative.xml000066400000000000000000000013621510533647000257030ustar00rootroot00000000000000 test test.sizezero ZERO INTEGER
astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/wrong_arraysize.xml000066400000000000000000000014071510533647000264330ustar00rootroot00000000000000 test test.wrong_arraysize wrongarraysize INTEGER
astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/wrong_datatypes_tap.xml000066400000000000000000000013501510533647000272610ustar00rootroot00000000000000 test test.wrong_tap WRONG WRONG
astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/wrong_datatypes_votable.xml000066400000000000000000000013601510533647000301320ustar00rootroot00000000000000 test test.wrong_votable wrong wrong
astropy-pyvo-b70558c/pyvo/io/vosi/tests/data/tables/wrong_flag.xml000066400000000000000000000014241510533647000253320ustar00rootroot00000000000000 test test.wrong_flag wrongflag INTEGER prmary
astropy-pyvo-b70558c/pyvo/io/vosi/tests/test_availability.py000066400000000000000000000012431510533647000243620ustar00rootroot00000000000000#!/usr/bin/env python # Licensed under a 3-clause BSD style license - see LICENSE.rst """ Tests for pyvo.io.vosi """ import pyvo.io.vosi as vosi from astropy.utils.data import get_pkg_data_filename class TestAvailability: def test_availability(self): availability = vosi.parse_availability(get_pkg_data_filename( "data/availability.xml")) assert availability.available assert availability.upsince == "2000-00-00T00:00:00Z" assert availability.downat == "2666-00-00T00:00:00Z" assert availability.backat == "2666-23-23T13:37:00Z" assert "foo" in availability.notes assert "bar" in availability.notes astropy-pyvo-b70558c/pyvo/io/vosi/tests/test_capabilities.py000066400000000000000000000225071510533647000243470ustar00rootroot00000000000000#!/usr/bin/env python # Licensed under a 3-clause BSD style license - see LICENSE.rst """ Tests for pyvo.io.vosi """ import contextlib import io from operator import eq as equals import pytest import pyvo.io.vosi as vosi import pyvo.io.vosi.vodataservice as vs import pyvo.io.vosi.tapregext as tr from pyvo.io.vosi.exceptions import W06 from astropy.utils.data import get_pkg_data_filename @pytest.fixture(name='parsed_caps') def _parsed_caps(): return vosi.parse_capabilities(get_pkg_data_filename( "data/capabilities.xml")) @pytest.fixture(name='parsed_minimal_tapregext') def _minimal_tapregext(): return vosi.parse_capabilities(get_pkg_data_filename( "data/capabilities/minimal-tapregext.xml")) @pytest.mark.usefixtures("parsed_caps") class TestCapabilities: def test_availability(self, parsed_caps): assert equals( parsed_caps[0].standardid, "ivo://ivoa.net/std/VOSI#availability") assert isinstance(parsed_caps[0].interfaces[0], vs.ParamHTTP) assert parsed_caps[0].interfaces[0].accessurls[0].use == "full" assert equals( parsed_caps[0].interfaces[0].accessurls[0].content, "http://example.org/tap/availability") def test_capendpoint(self, parsed_caps): assert equals( parsed_caps[1].standardid, "ivo://ivoa.net/std/VOSI#capabilities") assert isinstance(parsed_caps[1].interfaces[0], vs.ParamHTTP) assert parsed_caps[1].interfaces[0].accessurls[0].use == "full" assert equals( parsed_caps[1].interfaces[0].accessurls[0].content, "http://example.org/tap/capabilities") def test_tablesendpoint(self, parsed_caps): assert parsed_caps[2].standardid == "ivo://ivoa.net/std/VOSI#tables" assert isinstance(parsed_caps[2].interfaces[0], vs.ParamHTTP) assert parsed_caps[2].interfaces[0].accessurls[0].use == "full" assert equals( parsed_caps[2].interfaces[0].accessurls[0].content, "http://example.org/tap/tables") def test_type_parsed(self, parsed_caps): assert isinstance(parsed_caps[3], tr.TableAccess) def test_stdid_parsed(self, parsed_caps): assert parsed_caps[3].standardid == "ivo://ivoa.net/std/TAP" def test_dm_parsed(self, parsed_caps): assert equals( parsed_caps[3].datamodels[0].ivo_id, "ivo://ivoa.net/std/ObsCore#table-1.1") assert parsed_caps[3].datamodels[0].content == "Obscore-1.1" assert equals( parsed_caps[3].datamodels[1].ivo_id, "ivo://ivoa.net/std/RegTAP#1.0") assert parsed_caps[3].datamodels[1].content == "Registry 1.0" def test_language_parsed(self, parsed_caps): assert parsed_caps[3].languages[0].name == "ADQL" assert equals( parsed_caps[3].languages[0].versions[0].ivo_id, "ivo://ivoa.net/std/ADQL#v2.0") assert parsed_caps[3].languages[0].versions[0].content == "2.0" assert parsed_caps[3].languages[0].description == "ADQL 2.0" def test_udfs(self, parsed_caps): assert equals( parsed_caps[3].languages[0].languagefeaturelists[0].type, "ivo://ivoa.net/std/TAPRegExt#features-udf") assert equals( parsed_caps[3].languages[0].languagefeaturelists[0][0].form, "form 1") assert equals( parsed_caps[3].languages[0].languagefeaturelists[0][ 0].description, "description 1") assert equals( parsed_caps[3].languages[0].languagefeaturelists[0][1].form, "form 2") assert equals( parsed_caps[3].languages[0].languagefeaturelists[0].features[ 1].description, "description 2") def test_adqlgeos(self, parsed_caps): assert equals( parsed_caps[3].languages[0].languagefeaturelists[1].type, "ivo://ivoa.net/std/TAPRegExt#features-adqlgeo") assert equals( parsed_caps[3].languages[0].languagefeaturelists[1].features[ 0].form, "BOX") assert equals( parsed_caps[3].languages[0].languagefeaturelists[1].features[ 1].form, "POINT") def test_outputformats(self, parsed_caps): assert equals( parsed_caps[3].outputformats[0].ivo_id, "ivo://ivoa.net/std/TAPRegExt#output-votable-binary") assert parsed_caps[3].outputformats[0].mime == "text/xml" assert parsed_caps[3].outputformats[1].ivo_id is None assert parsed_caps[3].outputformats[1].mime == "text/html" def test_uploadmethods(self, parsed_caps): assert equals( parsed_caps[3].uploadmethods[0].ivo_id, "ivo://ivoa.net/std/TAPRegExt#upload-https") assert equals( parsed_caps[3].uploadmethods[1].ivo_id, "ivo://ivoa.net/std/TAPRegExt#upload-inline") def test_temporal_limits(self, parsed_caps): assert parsed_caps[3].retentionperiod.default == 172800 assert parsed_caps[3].executionduration.default == 3600 def test_spatial_limits(self, parsed_caps): assert parsed_caps[3].outputlimit.default.unit == "row" assert parsed_caps[3].outputlimit.default.content == 2000 assert parsed_caps[3].outputlimit.hard.unit == "row" assert parsed_caps[3].outputlimit.hard.content == 10000000 assert parsed_caps[3].uploadlimit.hard.unit == "byte" assert parsed_caps[3].uploadlimit.hard.content == 100000000 def test_multiple_capa_descriptions(self): with pytest.warns(W06): vosi.parse_capabilities(get_pkg_data_filename( 'data/capabilities/multiple_capa_descriptions.xml')) with pytest.raises(W06): vosi.parse_capabilities(get_pkg_data_filename( 'data/capabilities/multiple_capa_descriptions.xml'), pedantic=True) @pytest.mark.usefixtures("parsed_minimal_tapregext") class TestMinimalTAPRegExt: def test_standard_id(self, parsed_minimal_tapregext): assert isinstance(parsed_minimal_tapregext[2], tr.TableAccess) def test_limits(self, parsed_minimal_tapregext): assert parsed_minimal_tapregext[2]._uploadlimit is None assert parsed_minimal_tapregext[2]._outputlimit is None def test_adql(self, parsed_minimal_tapregext): assert parsed_minimal_tapregext[2].get_adql().name == "ADQL" def test_udfs(self, parsed_minimal_tapregext): assert parsed_minimal_tapregext[2].get_adql().languagefeaturelists == [] def test_uploadmethods(self, parsed_minimal_tapregext): assert parsed_minimal_tapregext[2].uploadmethods == [] def test_describe(self, parsed_minimal_tapregext): with io.StringIO() as buf, contextlib.redirect_stdout(buf): parsed_minimal_tapregext[2].describe() output = buf.getvalue() assert "http://example.org/tap" in output assert "Output format text/xml" in output assert "Maximal size" not in output @pytest.mark.usefixtures("parsed_caps") class TestInterface: def test_interface_parsed(self, parsed_caps): assert parsed_caps[3].interfaces[0].accessurls[0].use == "base" assert equals( parsed_caps[3].interfaces[0].accessurls[0].content, "http://example.org/tap") def test_mirrors_parsed(self, parsed_caps): assert len(parsed_caps[3].interfaces[0].mirrorurls) == 2 def test_mirrors_have_titles(self, parsed_caps): assert ([m.title for m in parsed_caps[3].interfaces[0].mirrorurls] == ["https version", "Paris mirror"]) def test_mirrors_have_urls(self, parsed_caps): assert ([m.content for m in parsed_caps[3].interfaces[0].mirrorurls] == ['https://example.org/tap', 'https://paris.example.org/tap']) def test_testquerystring_parsed(self, parsed_caps): assert (parsed_caps[3].interfaces[0].testquerystring.content == 'QUERY=SELECT%20*%20FROM%20tap_schema.tables&LANG=ADQL') @pytest.fixture(name='cap_with_free_prefix') def _cap_with_free_prefix(recwarn): caps = vosi.parse_capabilities(io.BytesIO(b""" https://archive.eso.org/tap_obs ObsCore-1.1 ADQL 2.0 ADQL-2.0 """)) return recwarn, caps # this is a test for when people ignore the canonical prefixes for # registry documents. class TestFreePrefixes: def test_parses_without_warning(self, cap_with_free_prefix): warnings, _ = cap_with_free_prefix assert len(warnings) == 0 def test_parses_as_tapregext(self, cap_with_free_prefix): _, cap = cap_with_free_prefix assert isinstance(cap[0], tr.TableAccess) astropy-pyvo-b70558c/pyvo/io/vosi/tests/test_tables.py000066400000000000000000000344551510533647000231750ustar00rootroot00000000000000#!/usr/bin/env python # Licensed under a 3-clause BSD style license - see LICENSE.rst """ Tests for pyvo.io.vosi """ import contextlib import io import pytest import pyvo.io.vosi as vosi import pyvo.io.vosi.vodataservice as vs from pyvo.io.vosi.exceptions import ( W02, W03, W04, W05, W06, W07, W08, W09, W10, W11, W12, W13, W14, W37) from pyvo.io.vosi.exceptions import E01, E02, E03, E06 from astropy.utils.data import get_pkg_data_filename class TestTables: def test_all(self): tablesfile = vosi.parse_tables( get_pkg_data_filename("data/tables.xml")) table = next(tablesfile.iter_tables()) assert table.name == "test.all" assert table.title == "Test table" assert table.description == "All test data in one table" assert table.utype == "utype" assert table.nrows == 30 col = table.columns[0] fkc = table.foreignkeys[0] assert col.name == "id" assert col.description == "Primary key" assert col.unit == "unit" assert col.ucd == "meta.id;meta.main" assert col.utype == "utype" assert isinstance(col.datatype, vs.TAPType) assert str(col.datatype) == "VARCHAR" assert col.datatype.arraysize == "*" assert col.datatype.delim == ";" assert col.datatype.size == "42" assert col.datatype.content == "VARCHAR" assert "indexed" in col.flags assert "primary" in col.flags assert fkc.targettable == "test.foreigntable" assert fkc.fkcolumns[0].fromcolumn == "testkey" assert fkc.fkcolumns[0].targetcolumn == "testkey" assert fkc.description == "Test foreigner" assert fkc.utype == "utype" def _test_datatypes_votable(self, cols): assert cols[0].datatype.content == 'boolean' assert cols[1].datatype.content == 'bit' assert cols[2].datatype.content == 'unsignedByte' assert cols[3].datatype.content == 'short' assert cols[4].datatype.content == 'int' assert cols[5].datatype.content == 'long' assert cols[6].datatype.content == 'char' assert cols[7].datatype.content == 'unicodeChar' assert cols[8].datatype.content == 'float' assert cols[9].datatype.content == 'double' assert cols[10].datatype.content == 'floatComplex' assert cols[11].datatype.content == 'doubleComplex' def test_datatypes_votable(self): tablesfile = vosi.parse_tables( get_pkg_data_filename("data/tables/datatypes_votable.xml")) votable, votabletype = tuple(tablesfile.iter_tables()) self._test_datatypes_votable(votable.columns) self._test_datatypes_votable(votabletype.columns) def _test_datatypes_tap(self, cols): assert cols[0].datatype.content == 'BOOLEAN' assert cols[1].datatype.content == 'SMALLINT' assert cols[2].datatype.content == 'INTEGER' assert cols[3].datatype.content == 'BIGINT' assert cols[4].datatype.content == 'REAL' assert cols[5].datatype.content == 'DOUBLE' assert cols[6].datatype.content == 'TIMESTAMP' assert cols[7].datatype.content == 'CHAR' assert cols[8].datatype.content == 'VARCHAR' assert cols[9].datatype.content == 'BINARY' assert cols[10].datatype.content == 'VARBINARY' assert cols[11].datatype.content == 'POINT' assert cols[12].datatype.content == 'REGION' assert cols[13].datatype.content == 'CLOB' assert cols[14].datatype.content == 'BLOB' def test_datatypes_tap(self): tablesfile = vosi.parse_tables( get_pkg_data_filename("data/tables/datatypes_tap.xml")) tap, taptype = tuple(tablesfile.iter_tables()) self._test_datatypes_tap(tap.columns) self._test_datatypes_tap(taptype.columns) def test_wrong_datatypes_tap(self): with pytest.warns(W02): vosi.parse_tables( get_pkg_data_filename("data/tables/wrong_datatypes_tap.xml")) def test_wrong_datatypes_votable(self): with pytest.warns(W02): vosi.parse_tables(get_pkg_data_filename( "data/tables/wrong_datatypes_votable.xml")) def test_no_schemas(self): with pytest.warns(W14): vosi.parse_tables( get_pkg_data_filename("data/tables/no_schemas.xml")) with pytest.raises(W14): vosi.parse_tables( get_pkg_data_filename("data/tables/no_schemas.xml"), pedantic=True) def test_no_schema_name(self): with pytest.raises(E06): vosi.parse_tables( get_pkg_data_filename("data/tables/no_schema_name.xml")) def test_multiple_schema_names(self): with pytest.warns(W05): vosi.parse_tables( get_pkg_data_filename("data/tables/multiple_schema_names.xml")) with pytest.raises(W05): vosi.parse_tables( get_pkg_data_filename("data/tables/multiple_schema_names.xml"), pedantic=True) def test_multiple_schema_titles(self): with pytest.warns(W13): vosi.parse_tables(get_pkg_data_filename( "data/tables/multiple_schema_titles.xml")) with pytest.raises(W13): vosi.parse_tables( get_pkg_data_filename( "data/tables/multiple_schema_titles.xml"), pedantic=True) def test_multiple_schema_descriptions(self): with pytest.warns(W06): vosi.parse_tables(get_pkg_data_filename( "data/tables/multiple_schema_descriptions.xml")) with pytest.raises(W06): vosi.parse_tables( get_pkg_data_filename( "data/tables/multiple_schema_descriptions.xml"), pedantic=True) def test_multiple_schema_utypes(self): with pytest.warns(W09): vosi.parse_tables(get_pkg_data_filename( "data/tables/multiple_schema_utypes.xml")) with pytest.raises(W09): vosi.parse_tables( get_pkg_data_filename( "data/tables/multiple_schema_utypes.xml"), pedantic=True) def test_no_table_name(self): with pytest.raises(E06): vosi.parse_tables( get_pkg_data_filename("data/tables/no_table_name.xml")) def test_multiple_table_names(self): with pytest.warns(W05): vosi.parse_tables( get_pkg_data_filename("data/tables/multiple_table_names.xml")) with pytest.raises(W05): vosi.parse_tables( get_pkg_data_filename("data/tables/multiple_table_names.xml"), pedantic=True) def test_multiple_table_titles(self): with pytest.warns(W13): vosi.parse_tables(get_pkg_data_filename( "data/tables/multiple_table_titles.xml")) with pytest.raises(W13): vosi.parse_tables( get_pkg_data_filename( "data/tables/multiple_table_titles.xml"), pedantic=True) def test_multiple_table_descriptions(self): with pytest.warns(W06): vosi.parse_tables(get_pkg_data_filename( "data/tables/multiple_table_descriptions.xml")) with pytest.raises(W06): vosi.parse_tables( get_pkg_data_filename( "data/tables/multiple_table_descriptions.xml"), pedantic=True) def test_multiple_table_utypes(self): with pytest.warns(W09): vosi.parse_tables(get_pkg_data_filename( "data/tables/multiple_table_utypes.xml")) with pytest.raises(W09): vosi.parse_tables( get_pkg_data_filename( "data/tables/multiple_table_utypes.xml"), pedantic=True) def test_multiple_column_names(self): with pytest.warns(W05): vosi.parse_tables( get_pkg_data_filename("data/tables/multiple_column_names.xml")) with pytest.raises(W05): vosi.parse_tables( get_pkg_data_filename("data/tables/multiple_column_names.xml"), pedantic=True) def test_multiple_column_descriptions(self): with pytest.warns(W06): vosi.parse_tables( get_pkg_data_filename( "data/tables/multiple_column_descriptions.xml")) with pytest.raises(W06): vosi.parse_tables( get_pkg_data_filename( "data/tables/multiple_column_descriptions.xml"), pedantic=True) def test_multiple_column_units(self): with pytest.warns(W07): vosi.parse_tables(get_pkg_data_filename( "data/tables/multiple_column_units.xml")) with pytest.raises(W07): vosi.parse_tables( get_pkg_data_filename( "data/tables/multiple_column_units.xml"), pedantic=True) def test_multiple_column_ucds(self): with pytest.warns(W08): vosi.parse_tables(get_pkg_data_filename( "data/tables/multiple_column_ucds.xml")) with pytest.raises(W08): vosi.parse_tables( get_pkg_data_filename( "data/tables/multiple_column_ucds.xml"), pedantic=True) def test_multiple_column_utypes(self): with pytest.warns(W09): vosi.parse_tables(get_pkg_data_filename( "data/tables/multiple_column_utypes.xml")) with pytest.raises(W09): vosi.parse_tables( get_pkg_data_filename( "data/tables/multiple_column_utypes.xml"), pedantic=True) def test_multiple_column_datatypes(self): with pytest.warns(W37): vosi.parse_tables(get_pkg_data_filename( "data/tables/multiple_column_datatypes.xml")) with pytest.raises(W37): vosi.parse_tables( get_pkg_data_filename( "data/tables/multiple_column_datatypes.xml"), pedantic=True) def test_tap_size(self): with pytest.warns(W03): vosi.parse_tables(get_pkg_data_filename( "data/tables/sizenegative.xml")) with pytest.raises(W03): vosi.parse_tables(get_pkg_data_filename( "data/tables/sizenegative.xml"), pedantic=True) @pytest.mark.xfail def test_wrong_flag(self): with pytest.warns(W04): vosi.parse_tables(get_pkg_data_filename( "data/tables/wrong_flag.xml")) with pytest.raises(W04): vosi.parse_tables(get_pkg_data_filename( "data/tables/wrong_flag.xml"), pedantic=True) def test_multiple_fromcolumns(self): with pytest.warns(W10): vosi.parse_tables(get_pkg_data_filename( "data/tables/multiple_fromcolumns.xml")) with pytest.raises(W10): vosi.parse_tables(get_pkg_data_filename( "data/tables/multiple_fromcolumns.xml"), pedantic=True) def test_missing_fromcolumn(self): with pytest.raises(E02): vosi.parse_tables(get_pkg_data_filename( "data/tables/no_fromcolumn.xml")) def test_multiple_targetcolumns(self): with pytest.warns(W11): vosi.parse_tables(get_pkg_data_filename( "data/tables/multiple_targetcolumns.xml")) with pytest.raises(W11): vosi.parse_tables(get_pkg_data_filename( "data/tables/multiple_targetcolumns.xml"), pedantic=True) def test_missing_targetcolumn(self): with pytest.raises(E03): vosi.parse_tables(get_pkg_data_filename( "data/tables/no_targetcolumn.xml")) def test_multiple_targettables(self): with pytest.warns(W12): vosi.parse_tables(get_pkg_data_filename( "data/tables/multiple_targettables.xml")) with pytest.raises(W12): vosi.parse_tables(get_pkg_data_filename( "data/tables/multiple_targettables.xml"), pedantic=True) def test_multiple_foreignkey_descriptions(self): with pytest.warns(W06): vosi.parse_tables( get_pkg_data_filename( "data/tables/multiple_foreignkey_descriptions.xml")) with pytest.raises(W06): vosi.parse_tables( get_pkg_data_filename( "data/tables/multiple_foreignkey_descriptions.xml"), pedantic=True) def test_multiple_foreignkey_utypes(self): with pytest.warns(W09): vosi.parse_tables(get_pkg_data_filename( "data/tables/multiple_foreignkey_utypes.xml")) with pytest.raises(W09): vosi.parse_tables( get_pkg_data_filename( "data/tables/multiple_foreignkey_utypes.xml"), pedantic=True) def test_wrong_arraysize(self): with pytest.raises(E01): vosi.parse_tables( get_pkg_data_filename( "data/tables/wrong_arraysize.xml")) def test_no_table_description(self): """Test handling of describing tables with no description """ tableset = vosi.parse_tables( get_pkg_data_filename( "data/tables/no_table_description.xml")) nodesc_table = tableset.get_first_table() assert nodesc_table.description is None with io.StringIO() as buf, contextlib.redirect_stdout(buf): nodesc_table.describe() output = buf.getvalue() assert 'No description' in output def test_single_table_description(self): """Test describing a table with a single description """ tableset = vosi.parse_tables( get_pkg_data_filename( "data/tables/single_table_description.xml")) onedesc_table = tableset.get_first_table() describe_string = 'A test table with a single description' assert describe_string in onedesc_table.description with io.StringIO() as buf, contextlib.redirect_stdout(buf): onedesc_table.describe() output = buf.getvalue() assert describe_string in output astropy-pyvo-b70558c/pyvo/io/vosi/vodataservice.py000066400000000000000000000755321510533647000223620ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ This file contains xml element classes as defined in the VODataService standard There are different ways of handling the various xml tags. * Elements with complex content * Elements with simple content and attributes * Elements with simple content without attributes Elements with complex content are parsed with objects inherited from `~pyvo.utils.xml.elements.Element`. Elements with simple content are parsed with objects inherited from `~pyvo.utils.xml.elements.Element` defining a ``value`` property. """ import re from astropy.utils import deprecated from astropy.utils.collections import HomogeneousList from textwrap import indent from astropy.utils.xml import check as xml_check from astropy.io.votable.exceptions import vo_raise, vo_warn, warn_or_raise from ...utils.xml.elements import ( xmlattribute, xmlelement, Element, ElementWithXSIType, ContentMixin) from . import voresource as vr from .exceptions import ( W01, W02, W03, W04, W05, W06, W07, W08, W09, W10, W11, W12, W13, W14, W17, W18, W36, W37, E01, E02, E03, E04, E05, E06) __all__ = [ "TableSet", "TableSchema", "ParamHTTP", "VODataServiceTable", "BaseParam", "TableParam", "InputParam", "DataType", "SimpleDataType", "TableDataType", "VOTableType", "TAPDataType", "TAPType", "FKColumn", "ForeignKey"] ###################################################################### # FACTORY FUNCTIONS def _convert_boolean(value, default=None): return { 'false': False, '0': False, 'true': True, '1': True }.get(value, default) ###################################################################### # ATTRIBUTE CHECKERS def check_anyuri(uri, config=None, pos=None): """ Raises a `~pyvo.io.vosi.tables.exceptions.VOSITablesWarning` if *uri* is not a valid URI. As defined in RFC 2396. """ if uri is not None and not xml_check.check_anyuri(uri): warn_or_raise(W01, W01, uri, config=config, pos=pos) return False return True def check_datatype_flag(data, config=None, pos=None): """ Checks if the datatype flag is valid """ if data not in ('indexed', 'primary', 'nullable'): warn_or_raise(W04, W04, data, config=config, pos=pos) return False return True ###################################################################### # ELEMENT CLASSES class TableSet(Element, HomogeneousList): """ TableSet element as described in http://www.ivoa.net/xml/VODataService/v1.1 The set of tables hosted by a resource. """ def __init__( self, config=None, pos=None, _name='tableset', version='1.1', **kwargs ): HomogeneousList.__init__(self, TableSchema) Element.__init__(self, config, pos, _name, **kwargs) self._version = version def __repr__(self): return '... {} schemas ...'.format( len(self)) @xmlattribute def version(self): """The version of the standard""" return self._version @version.setter def version(self, version): self._config['version'] = version self._version = version @xmlelement(name='schema') def schemas(self): """ A list of schemas. Must contain only `~pyvo.io.vosi.vodataservice.TableSchema` objects. A named description of a set of logically related tables. The name given by the "name" child element must be unique within this TableSet instance. If there is only one schema in this set and/or there's no locally appropriate name to provide, the name can be set to "default". This aggregation does not need to map to an actual database, catalog, or schema, though the publisher may choose to aggregate along such designations, or particular service protocol may recommend it. """ return self @schemas.adder def schemas(self, iterator, tag, data, config, pos): schema = TableSchema(config, pos, 'schema', **data) schema.parse(iterator, config) self.append(schema) def parse(self, iterator, config): super().parse(iterator, config) if not self.schemas: warn_or_raise(W14, W14, config=config, pos=self._pos) class TableSchema(Element, HomogeneousList): """ TableSchema element as described in http://www.ivoa.net/xml/VODataService/v1.1 A detailed description of a logically-related set of tables. """ def __init__(self, config=None, pos=None, _name='schema', **kwargs): HomogeneousList.__init__(self, VODataServiceTable) Element.__init__(self, config, pos, _name, **kwargs) self._name = None self._title = None self._description = None self._utype = None def __repr__(self): return '... {} tables ...'.format( self.name, len(self.tables)) @xmlelement(plain=True, multiple_exc=W05) def name(self): """ A name for the set of tables. This is used to uniquely identify the table set among several table sets. If a title is not present, this name can be used for display purposes. If there is no appropriate logical name associated with this set, the name should be explicitly set to "default". """ return self._name @name.setter def name(self, name): self._name = name @xmlelement(plain=True, multiple_exc=W13) def title(self): """ a descriptive, human-interpretable name for the table set. This is used for display purposes. There is no requirement regarding uniqueness. It is useful when there are multiple schemas in the context (e.g. within a tableset; otherwise, the resource title could be used instead). """ return self._title @title.setter def title(self, title): self._title = title @xmlelement(plain=True, multiple_exc=W06) def description(self): """ A free text description of the tableset that should explain in general how all of the tables are related. """ return self._description @description.setter def description(self, description): self._description = description @xmlelement(plain=True, multiple_exc=W09) def utype(self): """ an identifier for a concept in a data model that the data in this schema as a whole represent. The format defined in the VOTable standard is strongly recommended. """ return self._utype @utype.setter def utype(self, utype): self._utype = utype @xmlelement(name='table') def tables(self): """ A list of tables in the schema. Must contain only `~pyvo.io.vosi.vodataservice.VODataServiceTable` objects. A description of one of the tables that makes up the set. The table names for the table should be unique. """ return self @tables.adder def tables(self, iterator, tag, data, config, pos): table = VODataServiceTable(config, pos, 'table', **data) table.parse(iterator, config) self.append(table) def parse(self, iterator, config): super().parse(iterator, config) if not self.name: vo_raise(E06, self._Element__name, config=config, pos=self._pos) @vr.Interface.register_xsi_type('vs:ParamHTTP') class ParamHTTP(vr.Interface): """ ParamHTTP element as described in http://www.ivoa.net/xml/VODataService/v1.1 A service invoked via an HTTP Query (either Get or Post) with a set of arguments consisting of keyword name-value pairs. Note that the URL for help with this service can be put into the Service/ReferenceURL element. """ def __init__(self, config=None, pos=None, _name='', **kwargs): super().__init__( config=config, pos=pos, _name=_name, **kwargs) self._querytypes = HomogeneousList(str) self._resulttype = None @xmlelement(name='queryType', multiple_exc=W17) def querytypes(self): """ The type of HTTP request, either GET or POST. The service may indicate support for both GET and POST by providing 2 queryType elements, one with GET and one with POST. """ return self._querytypes @xmlelement(name='resultType', multiple_exc=W36) def resulttype(self): """The MIME type of a document returned in the HTTP response.""" return self._resulttype @resulttype.setter def resulttype(self, resulttype): self._resulttype = resulttype def parse(self, iterator, config): super().parse(iterator, config) if len(self.querytypes) > 2: warn_or_raise(W18, W18, config=config, pos=self._pos) class VODataServiceTable(Element): """ Table element as described in http://www.ivoa.net/xml/VODataService/v1.1 """ def __init__( self, config=None, pos=None, _name='table', version='1.1', **kwargs ): super().__init__(config, pos, _name, **kwargs) self._name = None self._title = None self._description = None self._utype = None self._type = kwargs.get("type") self._version = version self._nrows = None self._columns = HomogeneousList(TableParam) self._foreignkeys = HomogeneousList(ForeignKey) def __repr__(self): return '... {} columns ...'.format( self.name, len(self.columns)) def describe(self): print(self.name) if self.description is not None: print(indent(self.description, 4 * " ")) else: print('No description') print() @xmlelement(plain=True, multiple_exc=W05) def name(self): """ the fully qualified name of the table. This name should include all catalog or schema prefixes needed to sufficiently uniquely distinguish it in a query. In general, the format of the qualified name may depend on the context; however, when the table is intended to be queryable via ADQL, then the catalog and schema qualifiers are delimited from the table name with dots (.). """ return self._name @name.setter def name(self, name): self._name = name @xmlelement(plain=True, multiple_exc=W13) def title(self): """ a descriptive, human-interpretable name for the table. This is used for display purposes. There is no requirement regarding uniqueness. """ return self._title @title.setter def title(self, title): self._title = title @xmlelement(plain=True, multiple_exc=W06) def description(self): """ a free-text description of the table's contents """ return self._description @description.setter def description(self, description): self._description = description @xmlelement(plain=True, multiple_exc=W09) def utype(self): """ an identifier for a concept in a data model that the data in this table represent. The format defined in the VOTable standard is highly recommended. """ return self._utype @utype.setter def utype(self, utype): self._utype = utype @xmlelement(plain=True, multiple_exc=W09) def nrows(self): """ the approximate number of rows in the table. This is None if the data provider failed to provide this information. """ return self._nrows @nrows.setter def nrows(self, nrows): self._nrows = int(nrows) @xmlattribute def type(self): """ a name for the role this table plays. Recognized values include "output", indicating this table is output from a query; "base_table", indicating a table whose records represent the main subjects of its schema; and "view", indicating that the table represents a useful combination or subset of other tables. Other values are allowed. """ return self._type @type.setter def type(self, type_): self._type = type_ @xmlattribute def version(self): """The version of the standard""" return self._version @version.setter def version(self, version): self._config['version'] = version self._version = version @xmlelement(name='column') def columns(self): """ A list of columns in the table. Must contain only `~pyvo.io.vosi.vodataservice.TableParam` objects. A description of a table column. """ return self._columns @columns.adder def columns(self, iterator, tag, data, config, pos): column = TableParam(config, pos, 'column', **data) column.parse(iterator, config) self.columns.append(column) @xmlelement(name='foreignKey') def foreignkeys(self): """ A list of columns in the table. Must contain only `~pyvo.io.vosi.vodataservice.ForeignKey` objects a description of a foreign keys, one or more columns from the current table that can be used to join with another table. """ return self._foreignkeys @foreignkeys.adder def foreignkeys(self, iterator, tag, data, config, pos): foreignkey = ForeignKey(config, pos, 'foreignKey', **data) foreignkey.parse(iterator, config) self.foreignkeys.append(foreignkey) def parse(self, iterator, config): super().parse(iterator, config) if not self.name: vo_raise(E06, self._Element__name, config=config, pos=self._pos) @deprecated("1.5", alternative="VODataServiceTable") class Table(VODataServiceTable): pass class BaseParam(Element): """ BaseParam element as described in http://www.ivoa.net/xml/VODataService/v1.1 a description of a parameter that places no restriction on the parameter's data type. As the parameter's data type is usually important, schemas normally employ a sub-class of this type (e.g. Param), rather than this type directly. """ def __init__(self, config=None, pos=None, _name='', **kwargs): super().__init__( config=config, pos=pos, _name=_name, **kwargs) self._name = None self._description = None self._unit = None self._ucd = None self._utype = None def __repr__(self): return f'' @xmlelement(plain=True, multiple_exc=W05) def name(self): """the name of the element""" return self._name @name.setter def name(self, name): self._name = name @xmlelement(plain=True, multiple_exc=W06) def description(self): """ a free-text description of the element's contents """ return self._description @description.setter def description(self, description): self._description = description @xmlelement(plain=True, multiple_exc=W07) def unit(self): """the unit associated with all values in the element""" return self._unit @unit.setter def unit(self, unit): self._unit = unit @xmlelement(plain=True, multiple_exc=W08) def ucd(self): """ the name of a unified content descriptor that describes the scientific content of the element. There are no requirements for compliance with any particular UCD standard. The format of the UCD can be used to distinguish between UCD1, UCD1+, and SIA-UCD. See http://www.ivoa.net/Documents/latest/UCDlist.html for the latest IVOA standard set. """ return self._ucd @ucd.setter def ucd(self, ucd): self._ucd = ucd @xmlelement(plain=True, multiple_exc=W09) def utype(self): """ an identifier for a concept in a data model that the data in this element represent. The format defined in the VOTable standard is highly recommended. """ return self._utype @utype.setter def utype(self, utype): self._utype = utype class TableParam(BaseParam): """ TableParam element as described in http://www.ivoa.net/xml/VODataService/v1.1 A description of a table parameter having a fixed data type. The allowed data type names match those supported by VOTable. """ @classmethod def from_field(cls, field): """ Create a instance from a `~astropy.io.votable.tree.Field` instance. """ instance = cls() instance.name = field.name instance.description = field.description instance.unit = field.unit instance.ucd = field.ucd instance.utype = field.utype datatype = VOTableType(arraysize=field.arraysize) datatype.value = field.datatype instance.datatype = datatype return instance def __init__(self, config=None, pos=None, _name='', std=None, **kwargs): super().__init__( config=config, pos=pos, _name=_name, **kwargs) self._datatype = None self._flags = HomogeneousList(str) self._std = _convert_boolean(std) @xmlelement(name='dataType') def datatype(self): """The type of data contained in the element""" return self._datatype @datatype.setter def datatype(self, datatype): if datatype is not None and not isinstance(datatype, TableDataType): raise ValueError("datatype must be an TableDataType object") self._datatype = datatype @datatype.adder def datatype(self, iterator, tag, data, config, pos): datatype = TableDataType(config, pos, 'dataType', **data) datatype.parse(iterator, config) if self.datatype: warn_or_raise( W37, args=self._Element__name, config=config, pos=pos) self.datatype = datatype @xmlelement(name='flag') def flags(self): """ A list of flags. Must contain only `str` objects. a keyword representing traits of the column. Recognized values include "indexed", "primary", and "nullable". """ return self._flags @xmlattribute def std(self): """ If true, the meaning and use of this parameter is reserved and defined by a standard model. If false, it represents a database-specific parameter that effectively extends beyond the standard. If not provided, then the value is unknown. """ return self._std @std.setter def std(self, std): self._std = std def parse(self, iterator, config): super().parse(iterator, config) if not self.name: vo_raise(E06, self._Element__name, config=config, pos=self._pos) class InputParam(BaseParam): """ InputParam element as described in http://www.ivoa.net/xml/VODataService/v1.1 A description of a service or function parameter having a fixed data type. """ def __init__( self, config=None, pos=None, _name='', use="optional", std="1", **kwargs): BaseParam.__init__(self, config, pos, _name, **kwargs) self._datatype = None self._use = use self._std = _convert_boolean(std, True) @xmlelement(name='dataType') def datatype(self): """The type of data contained in the element""" return self._datatype @datatype.setter def datatype(self, datatype): if datatype is not None and not isinstance(datatype, SimpleDataType): raise ValueError("datatype must be an SimpleDataType object") self._datatype = datatype @xmlattribute def use(self): """ An indication of whether this parameter is required to be provided for the application or service to work properly. Allowed values are "required" and "optional". """ return self._use @use.setter def use(self, use): self._use = use @xmlattribute def std(self): """ If true, the meaning and behavior of this parameter is reserved and defined by a standard interface. If false, it represents an implementation-specific parameter that effectively extends the behavior of the service or application. """ return self._std @std.setter def std(self, std): self._std = std def parse(self, iterator, config): super().parse(iterator, config) if not self.name: vo_raise(E06, self._Element__name, config=config, pos=self._pos) class DataType(ContentMixin, ElementWithXSIType): """ DataType element as described in http://www.ivoa.net/xml/VODataService/v1.1 A type (in the computer language sense) associated with a parameter with an arbitrary name. This XML type is used as a parent for defining data types with a restricted set of names. """ def __init__( self, config=None, pos=None, _name='dataType', arraysize=None, delim=None, extendedType=None, extendedSchema=None, **kwargs ): super().__init__( config=config, pos=pos, _name=_name, **kwargs) if arraysize is None: arraysize = "1" if delim is None: delim = " " self.arraysize = arraysize self._delim = delim self._extendedtype = extendedType self.extendedschema = extendedSchema def __repr__(self): return '{}'.format( self.arraysize, self.content) @xmlattribute def arraysize(self): """Specifies the size of the dataType""" return self._arraysize @arraysize.setter def arraysize(self, arraysize): if all(( arraysize is not None, not re.match(r"^([0-9]+x)*[0-9]*[*]?(s\W)?$", arraysize) )): vo_raise(E01, arraysize, self._config, self._pos) self._arraysize = arraysize @xmlattribute def delim(self): """ the string that is used to delimit elements of an array value when arraysize is not "1". Unless specifically disallowed by the context, applications should allow optional spaces to appear in an actual data value before and after the delimiter (e.g. "1, 5" when delim=","). the default is " "; i.e. the values are delimited by spaces. """ return self._delim @delim.setter def delim(self, delim): self._delim = delim @xmlattribute(name='extendedType') def extendedtype(self): """ The data value represented by this type can be interpreted as of a custom type identified by the value of this attribute. If an application does not recognize this extendedType, it should attempt to handle value assuming the type given by the element's value. string is a recommended default type. This element may make use of the extendedSchema attribute and/or any arbitrary (qualified) attribute to refine the identification of the type. """ @extendedtype.setter def extendedtype(self, extendedtype): self._extendedtype = extendedtype @xmlattribute(name='extendedSchema') def extendedschema(self): """ An identifier for the schema that the value given by the extended attribute is drawn from. This attribute is normally ignored if the extendedType attribute is not present. """ return self._extendedschema @extendedschema.setter def extendedschema(self, extendedschema): if extendedschema is not None: check_anyuri(extendedschema, self._config, self._pos) self._extendedschema = extendedschema class SimpleDataType(DataType): """ SimpleDataType element as described in http://www.ivoa.net/xml/VODataService/v1.1 A data type restricted to a small set of names which is imprecise as to the format of the individual values. This set is intended for describing simple input parameters to a service or function. """ def _content_check(self, value): if value is not None: valid_values = { 'integer', 'real', 'complex', 'boolean', 'char', 'string'} if value not in valid_values: vo_warn(W02, value, self._config, self._pos) class TableDataType(DataType): """ TableDataType element as described in http://www.ivoa.net/xml/VODataService/v1.1 an abstract parent for a class of data types that can be used to specify the data type of a table column. Subtypes must be decorated with ``register_xsi_type('ns:name')``. """ @TableDataType.register_xsi_type('vs:VOTable') @TableDataType.register_xsi_type('vs:VOTableType') class VOTableType(TableDataType): """ VOTableType element as described in http://www.ivoa.net/xml/VODataService/v1.1 """ def _content_check(self, value): if value is not None: valid_values = ( 'boolean', 'bit', 'unsignedByte', 'short', 'int', 'long', 'char', 'unicodeChar', 'float', 'double', 'floatComplex', 'doubleComplex') if value not in valid_values: vo_warn(W02, value, self._config, self._pos) class TAPDataType(TableDataType): """ TAPDataType element as described in http://www.ivoa.net/xml/VODataService/v1.1 an abstract parent for the specific data types supported by the Table Access Protocol. """ def __init__( self, config=None, pos=None, _name='dataType', size=None, **kwargs ): super().__init__( config=config, pos=pos, _name=_name, **kwargs) self.size = size @xmlattribute def size(self): """ the length of the fixed-length value. This corresponds to the size Column attribute in the TAP_SCHEMA and can be used with data types that are defined with a length (CHAR, BINARY). """ return self._size @size.setter def size(self, size): if size is not None and int(size) < 0: size = 0 warn_or_raise(W03, W03, config=self._config, pos=self._pos) self._size = size @TableDataType.register_xsi_type('vs:TAP') @TableDataType.register_xsi_type('vs:TAPType') class TAPType(TAPDataType): """ TAPType element as described in http://www.ivoa.net/xml/VODataService/v1.1 a data type supported explicitly by the Table Access Protocol (v1.0). """ def _content_check(self, value): if value is not None: valid_values = ( 'BOOLEAN', 'SMALLINT', 'INTEGER', 'BIGINT', 'REAL', 'DOUBLE', 'TIMESTAMP', 'CHAR', 'VARCHAR', 'BINARY', 'VARBINARY', 'POINT', 'REGION', 'CLOB', 'BLOB') if value not in valid_values: vo_warn(W02, value, self._config, self._pos) class FKColumn(Element): """ FKColumn element as described in http://www.ivoa.net/xml/VODataService/v1.1 """ def __init__(self, config=None, pos=None, _name='fkColumn', **kwargs): super().__init__( config=config, pos=pos, _name=_name, **kwargs) self._fromcolumn = None self._targetcolumn = None def __repr__(self): return '...'.format( self.fromcolumn, self.targetcolumn) @xmlelement(name='fromColumn', plain=True, multiple_exc=W10) def fromcolumn(self): """ The unqualified name of the column from the current table. """ return self._fromcolumn @fromcolumn.setter def fromcolumn(self, fromcolumn): self._fromcolumn = fromcolumn @xmlelement(name='targetColumn', plain=True, multiple_exc=W11) def targetcolumn(self): """ The unqualified name of the column from the target table. """ return self._targetcolumn @targetcolumn.setter def targetcolumn(self, targetcolumn): self._targetcolumn = targetcolumn def parse(self, iterator, config): super().parse(iterator, config) if self.fromcolumn is None: vo_raise(E02, config=config, pos=self._pos) if self.targetcolumn is None: vo_raise(E03, config=config, pos=self._pos) class ForeignKey(Element): """ ForeignKey element as described in http://www.ivoa.net/xml/VODataService/v1.1 """ def __init__(self, config=None, pos=None, _name='foreignKey', **kwargs): Element.__init__(self, config, pos, _name, **kwargs) self._targettable = None self._fkcolumns = HomogeneousList(FKColumn) self._description = None self._utype = None def __repr__(self): return '...'.format( self.targettable) @xmlelement(name='targetTable', plain=True, multiple_exc=W12) def targettable(self): """ the fully-qualified name (including catalog and schema, as applicable) of the table that can be joined with the table containing this foreign key. """ return self._targettable @targettable.setter def targettable(self, targettable): self._targettable = targettable @xmlelement(name='fkColumn') def fkcolumns(self): """ A list of foreign key columns. Must contain only `~pyvo.io.vosi.vodataservice.FKColumn` objects. a pair of column names, one from this table and one from the target table that should be used to join the tables in a query. """ return self._fkcolumns @fkcolumns.adder def fkcolumns(self, iterator, tag, data, config, pos): fkcolumn = FKColumn(config, pos, 'fkColumn', **data) fkcolumn.parse(iterator, config) self.fkcolumns.append(fkcolumn) @xmlelement(plain=True, multiple_exc=W06) def description(self): """ a free-text description of what this key points to and what the relationship means. """ return self._description @description.setter def description(self, description): self._description = description @xmlelement(plain=True, multiple_exc=W09) def utype(self): """ an identifier for a concept in a data model that the association enabled by this key represents. The format defined in the VOTable standard is highly recommended. """ return self._utype @utype.setter def utype(self, utype): self._utype = utype def parse(self, iterator, config): super().parse(iterator, config) if not self.targettable: vo_raise(E04, config=config, pos=self._pos) if not self.fkcolumns: vo_raise(E05, config=config, pos=self._pos) astropy-pyvo-b70558c/pyvo/io/vosi/voresource.py000066400000000000000000000360431510533647000217110ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ This file contains xml element classes as defined in the VOResource standard. There are different ways of handling the various xml tags. * Elements with complex content * Elements with simple content and attributes * Elements with simple content without attributes Elements with complex content are parsed with objects inherited from `~pyvo.utils.xml.elements.Element`. Elements with simple content are parsed with objects inherited from `~pyvo.utils.xml.elements.Element` defining a ``value`` property. """ from astropy.utils.collections import HomogeneousList from textwrap import indent from ...utils.xml.elements import ( Element, ElementWithXSIType, ContentMixin, xmlattribute, xmlelement) from .exceptions import W06 __all__ = [ "ValidationLevel", "Capability", "Interface", "AccessURL", "SecurityMethod", "WebBrowser", "WebService", "MirrorURL"] ###################################################################### # ELEMENT CLASSES class ValidationLevel(ContentMixin, Element): """ ValidationLevel element as described in http://www.ivoa.net/xml/VOResource/v1.0 the allowed values for describing the resource descriptions and interfaces. See the RM (v1.1, section 4) for more guidance on the use of these values. Possible values: 0: The resource has a description that is stored in a registry. This level does not imply a compliant description. 1: In addition to meeting the level 0 definition, the resource description conforms syntactically to this standard and to the encoding scheme used. 2: In addition to meeting the level 1 definition, the resource description refers to an existing resource that has demonstrated to be functionally compliant. When the resource is a service, it is consider to exist and functionally compliant if use of the service accessURL responds without error when used as intended by the resource. If the service is a standard one, it must also demonstrate the response is syntactically compliant with the service standard in order to be considered functionally compliant. If the resource is not a service, then the ReferenceURL must be shown to return a document without error. 3: In addition to meeting the level 2 definition, the resource description has been inspected by a human and judged to comply semantically to this standard as well as meeting any additional minimum quality criteria (e.g., providing values for important but non-required metadata) set by the human inspector. 4: In addition to meeting the level 3 definition, the resource description meets additional quality criteria set by the human inspector and is therefore considered an excellent description of the resource. Consequently, the resource is expected to be operate well as part of a VO application or research study. """ def __init__( self, config=None, pos=None, _name='validationLevel', validatedBy=None, **kwargs ): super().__init__(config, pos, _name, **kwargs) self._validatedby = validatedBy def __repr__(self): return '{}'.format( self.validatedby, self.content) @xmlattribute def validatedby(self): """ The IVOA ID of the registry or organisation that assigned the validation level. """ return self._validatedby @validatedby.setter def validatedby(self, validatedby): self._validatedby = validatedby class AccessURL(ContentMixin, Element): """ AccessURL element as described in http://www.ivoa.net/xml/VOResource/v1.0 The URL (or base URL) that a client uses to access the service. How this URL is to be interpreted and used depends on the specific Interface subclass """ def __init__( self, config=None, pos=None, _name='accessURL', use=None, **kwargs ): super().__init__(config, pos, _name, **kwargs) self._use = use def __repr__(self): return '{}'.format( self.use, self.content) @xmlattribute def use(self): """ A flag indicating whether this should be interpreted as a base URL, a full URL, or a URL to a directory that will produce a listing of files. Possible values: full: Assume a full URL--that is, one that can be invoked directly without alteration. This usually returns a single document or file. base: Assume a base URL--that is, one requiring an extra portion to be appended before being invoked. dir: Assume URL points to a directory that will return a listing of files. """ return self._use @use.setter def use(self, use): self._use = use class MirrorURL(ContentMixin, Element): """ A URL available as a mirror of an access URL. These come with a human-readable title intended to aid in mirror selection. """ def __init__( self, config=None, pos=None, _name='accessURL', title=None, **kwargs ): super().__init__(config, pos, _name, **kwargs) self._title = title @xmlattribute def title(self): """ A human-readable title for the mirror. """ return self._title class SecurityMethod(ContentMixin, Element): """ SecurityMethod element as described in http://www.ivoa.net/xml/VOResource/v1.0 A description of a security mechanism. this type only allows one to refer to the mechanism via a URI. Derived types would allow for more metadata. """ def __init__( self, config=None, pos=None, _name='securityMethod', standardID=None, **kwargs ): super().__init__(config, pos, _name, **kwargs) self._standardid = standardID def __repr__(self): return '{}'.format( self.standardid, self.content) @xmlattribute(name='standardID') def standardid(self): """ A URI identifier for a standard security mechanism. """ return self._standardid @standardid.setter def standardid(self, standardid): self._standardid = standardid class Interface(ElementWithXSIType): """ Interface element as described in http://www.ivoa.net/xml/VOResource/v1.0 A description of a service interface. Since this type is abstract, one must use an Interface subclassto describe an actual interface. Additional interface subtypes (beyond WebService and WebBrowser) are defined in the VODataService schema. """ def __init__( self, config=None, pos=None, _name='interface', version='1.0', role=None, **kwargs ): super().__init__(config, pos, _name, **kwargs) self._xsi_type = kwargs.get('xsi:type') self._version = version self._role = role self._resulttype = None self._testquerystring = None self._accessurls = HomogeneousList(AccessURL) self._securitymethods = HomogeneousList(SecurityMethod) self._mirrorurls = HomogeneousList(MirrorURL) def __repr__(self): return '...'.format( self.role) def describe(self): """ Prints out a human readable description """ print(f'Interface {self._xsi_type}') accessurls = '\n'.join( accessurl.content for accessurl in self.accessurls) print(indent(accessurls, 4 * " ")) print() @xmlattribute def version(self): """ The version of a standard interface specification that this interface complies with. When the interface is provided in the context of a Capability element, then the standard being refered to is the one identified by the Capability's standardID element. If the standardID is not provided, the meaning of this attribute is undefined. """ return self._version @version.setter def version(self, version): self._version = version @xmlattribute def role(self): """ A tag name the identifies the role the interface plays in the particular capability. If the value is equal to "std" or begins with "std:", then the interface refers to a standard interface defined by the standard referred to by the capability's standardID attribute. For an interface complying with some registered standard (i.e. has a legal standardID), the role can be match against interface roles enumerated in standard resource record. The interface descriptions in the standard record can provide default descriptions so that such details need not be repeated here. """ return self._role @role.setter def role(self, role): self._role = role @xmlelement(name='accessURL', cls=AccessURL) def accessurls(self): """ A list of access urls in the interface. Must contain only `AccessURL` objects. """ return self._accessurls @xmlelement(name='mirrorURL', cls=MirrorURL) def mirrorurls(self): """ mirror(s) for this access URL. """ return self._mirrorurls @xmlelement(name='securityMethod', cls=SecurityMethod) def securitymethods(self): """ the mechanism the client must employ to gain secure access to the service. when more than one method is listed, each one must be employed to gain access. """ return self._securitymethods @xmlelement(name='testQueryString') def testquerystring(self): """ a string to be used in an interface-specific way to obtain a non-empty result from the service. """ return self._testquerystring @testquerystring.setter def testquerystring(self, testquerystring): self._testquerystring = testquerystring @xmlelement def resulttype(self): """ The MIME type of a document returned in the HTTP response. """ return self._resulttype @resulttype.setter def resulttype(self, resulttype): self._resulttype = resulttype class Capability(ElementWithXSIType): """ Capability element as described in http://www.ivoa.net/xml/VOResource/v1.0 a description of what the service does (in terms of context-specific behavior), and how to use it (in terms of an interface) """ def __init__( self, config=None, pos=None, _name='capability', standardID=None, **kwargs ): super().__init__(config, pos, _name, **kwargs) self._description = None self._standardid = standardID self._validationlevels = HomogeneousList(ValidationLevel) self._interfaces = HomogeneousList(Interface) def __repr__(self): return ( '' '... {} validationLevels, {} interfaces ...' '' ).format( self.standardid, len(self.validationlevels), len(self.interfaces)) def describe(self): """ Prints out a human readable description """ print(f"Capability {self.standardid}") print() if self.description: print(self.description) print() for interface in self.interfaces: interface.describe() @xmlelement(plain=True, multiple_exc=W06) def description(self): """ A human-readable description of what this capability provides as part of the over-all service Use of this optional element is especially encouraged when this capability is non-standard and is one of several capabilities listed. """ return self._description @description.setter def description(self, description): self._description = description @xmlelement(name='validationLevel', cls=ValidationLevel) def validationlevels(self): """ A numeric grade describing the quality of the capability description and interface, when applicable, to be used to indicate the confidence an end-user can put in the resource as part of a VO application or research study. """ return self._validationlevels @xmlelement(name='interface', cls=Interface) def interfaces(self): """ a description of how to call the service to access this capability Since the Interface type is abstract, one must describe the interface using a subclass of Interface, denoting it via xsi:type. Multiple occurances can describe different interfaces to the logically same capability--i.e. data or functionality. That is, the inputs accepted and the output provides should be logically the same. For example, a WebBrowser interface given in addition to a WebService interface would simply provide an interactive, human-targeted interface to the underlying WebService interface. """ return self._interfaces @xmlattribute(name='standardID') def standardid(self): """ A URI identifier for a standard service. This provides a unique way to refer to a service specification standard, such as a Simple Image Access service. The use of an IVOA identifier here implies that a VOResource description of the standard is registered and accessible. """ return self._standardid @standardid.setter def standardid(self, standardid): self._standardid = standardid @Interface.register_xsi_type('vr:WebBrowser') class WebBrowser(Interface): """ WebBrowser element as described in http://www.ivoa.net/xml/VOResource/v1.0 A (form-based) interface intended to be accesed interactively by a user via a web browser. The accessURL represents the URL of the web form itself. """ @Interface.register_xsi_type('vr:WebService') class WebService(Interface): """ WebService element as described in http://www.ivoa.net/xml/VOResource/v1.0 A Web Service that is describable by a WSDL document. The accessURL element gives the Web Service's endpoint URL. """ def __init__(self, config=None, pos=None, _name='interface', **kwargs): super().__init__(config, pos, _name, **kwargs) self._wsdlurls = HomogeneousList(str) @xmlelement(name='wsdlURL') def wsdlurls(self): """ The location of the WSDL that describes this Web Service. If not provided, the location is assumed to be the accessURL with "?wsdl" appended. Multiple occurances should represent mirror copies of the same WSDL file. """ return self._wsdlurls astropy-pyvo-b70558c/pyvo/mivot/000077500000000000000000000000001510533647000167045ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/mivot/__init__.py000066400000000000000000000001001510533647000210040ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst astropy-pyvo-b70558c/pyvo/mivot/features/000077500000000000000000000000001510533647000205225ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/mivot/features/__init__.py000066400000000000000000000000001510533647000226210ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/mivot/features/sky_coord_builder.py000066400000000000000000000235461510533647000246100ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ Utility transforming MIVOT annotation into SkyCoord instances """ import numbers from astropy.coordinates import SkyCoord from astropy import units as u from astropy.coordinates import ICRS, Galactic, FK4, FK5 from astropy.time.core import Time from pyvo.mivot.glossary import SkyCoordMapping from pyvo.mivot.utils.exceptions import NoMatchingDMTypeError, MappingError class SkyCoordBuilder: ''' Utility generating SkyCoord instances from MIVOT annotations - SkyCoord instances can only be built from model classes containing the minimal set of required parameters (a position). - In this implementation, only the mango:EpochPosition class is supported since it contains the information required to compute the epoch propagation which is a major use-case ''' def __init__(self, mivot_instance): ''' Constructor parameters ----------- mivot_instance: dict or MivotInstance Python object generated from the MIVOT block as either a Pyhon object or a dict ''' self._mivot_instance_dict = mivot_instance.to_dict() self._map_coord_names = None def build_sky_coord(self): """ Build a SkyCoord instance from the MivotInstance dictionary. The operation requires the dictionary to have ``mango:EpochPosition`` as dmtype. This instance can be either the root of the dictionary or it can be one of the Mango properties if the root object is a mango:MangoObject instance This is a public method which could be extended to support other dmtypes. returns ------- SkyCoord Instance built by the method raises ------ NoMatchingDMTypeError if the SkyCoord instance cannot be built. """ if self._mivot_instance_dict and self._mivot_instance_dict["dmtype"] == "mango:MangoObject": property_dock = self._mivot_instance_dict["propertyDock"] for mango_property in property_dock: if mango_property["dmtype"] == "mango:EpochPosition": self._mivot_instance_dict = mango_property return self._build_sky_coord_from_mango() raise NoMatchingDMTypeError( "No INSTANCE with dmtype='mango:EpochPosition' has been found:" " in the property dock of the MangoObject, " "cannot build a SkyCoord from annotations") elif self._mivot_instance_dict and self._mivot_instance_dict["dmtype"] == "mango:EpochPosition": return self._build_sky_coord_from_mango() raise NoMatchingDMTypeError( "No INSTANCE with dmtype='mango:EpochPosition' has been found:" " cannot build a SkyCoord from annotations") def _get_time_instance(self, hk_field, besselian=False): """ Format a date expressed in year as [scale]year - Exception possibly risen by Astropy are not caught parameters ---------- hk_field: dict MIVOT instance attribute besselian: boolean besselian time scale is used if True, otherwise Julian (default) returns ------- Time instance or None raise ----- MappingError: if the Time instance cannot be built for some reason """ # Process complex type "mango:DateTime if hk_field['dmtype'] == "mango:DateTime": representation = hk_field['representation']['value'] timestamp = hk_field['dateTime']['value'] # Process simple attribute else: representation = hk_field.get("unit") timestamp = hk_field.get("value") if not representation or not timestamp: raise MappingError(f"Cannot interpret field {hk_field} " f"as a {('besselian' if besselian else 'julian')} timestamp") time_instance = self. _build_time_instance(timestamp, representation, besselian) if not time_instance: raise MappingError(f"Cannot build a Time instance from {hk_field}") return time_instance def _build_time_instance(self, timestamp, representation, besselian=False): """ Build a Time instance matching the input parameters. - Returns None if the parameters do not allow any Time setup - Exception possibly risen by Astropy are not caught at this level parameters ---------- timestamp: string or number The timestamp must comply with the given representation representation: string year, iso, ... (See MANGO primitive types derived from ivoa:timeStamp) besselian: boolean (optional) Flag telling to use the besselain calendar. We assume it to only be relevant for FK5 frame returns ------- Time instance or None """ if representation in ("year", "yr", "y"): # it the timestamp is numeric, we infer its format from the besselian flag if isinstance(timestamp, numbers.Number): return Time(f"{('B' if besselian else 'J')}{timestamp}", format=("byear_str" if besselian else "jyear_str")) if besselian: if timestamp.startswith("B"): return Time(f"{timestamp}", format="byear_str") elif timestamp.startswith("J"): # a besselain year cannot be given as "Jxxxx" return None elif timestamp.isnumeric(): # we force the string representation not to break the test assertions return Time(f"B{timestamp}", format="byear_str") else: if timestamp.startswith("J"): return Time(f"{timestamp}", format="jyear_str") elif timestamp.startswith("B"): # a julian year cannot be given as "Bxxxx" return None elif timestamp.isnumeric(): # we force the string representation not to break the test assertions return Time(f"J{timestamp}", format="jyear_str") # no case matches return None # in the following cases, the calendar (B or J) is given by the besselian flag # We force to use the string representation to avoid breaking unit tests. elif representation in ("mjd", "jd", "iso"): time = Time(f"{timestamp}", format=representation) return (Time(time.byear_str) if besselian else time) return None def _get_space_frame(self): """ Build an astropy space frame instance from the MIVOT annotations. - Equinox are supported for FK4/5 - Reference location is not supported returns ------- FK2, FK5, ICRS or Galactic Astropy space frame instance """ coo_sys = self._mivot_instance_dict["spaceSys"]["frame"] equinox = None frame = coo_sys["spaceRefFrame"]["value"].lower() if frame == 'fk4': self._map_coord_names = SkyCoordMapping.default_params if "equinox" in coo_sys: equinox = self._get_time_instance(coo_sys["equinox"], True) # by FK4 takes obstime=equinox by default return FK4(equinox=equinox) return FK4() if frame == 'fk5': self._map_coord_names = SkyCoordMapping.default_params if "equinox" in coo_sys: equinox = self._get_time_instance(coo_sys["equinox"]) return FK5(equinox=equinox) return FK5() if frame == 'galactic': self._map_coord_names = SkyCoordMapping.galactic_params return Galactic() self._map_coord_names = SkyCoordMapping.default_params return ICRS() def _build_sky_coord_from_mango(self): """ Build a SkyCoord instance from the ``mango:EpochPosition instance``. - The epoch (obstime) is meant to be given in year. - ICRS frame is taken by default - The cos-delta correction is meant to be applied. The case ``mango:pmCosDeltApplied = False`` is not supported yet returns ------- SkyCoord instance built by the method """ kwargs = {} kwargs["frame"] = self._get_space_frame() for mango_role, skycoord_field in self._map_coord_names.items(): # ignore not mapped parameters if mango_role not in self._mivot_instance_dict: continue hk_field = self._mivot_instance_dict[mango_role] if mango_role == "obsDate": besselian = isinstance(kwargs["frame"], FK4) fobstime = self._get_time_instance(hk_field, besselian=besselian) # FK4 class has an obstime attribute which must be set at instanciation time if besselian: kwargs["frame"] = FK4(equinox=kwargs["frame"].equinox, obstime=fobstime) # This is not the case for any other space frames else: kwargs[skycoord_field] = fobstime # ignore not set parameters elif (hk_value := hk_field["value"]) is not None: # Convert the parallax (mango) into a distance if skycoord_field == "distance": kwargs[skycoord_field] = ( (hk_value * u.Unit(hk_field["unit"])).to(u.parsec, equivalencies=u.parallax())) elif "unit" in hk_field and hk_field["unit"]: kwargs[skycoord_field] = hk_value * u.Unit(hk_field["unit"]) else: kwargs[skycoord_field] = hk_value return SkyCoord(**kwargs) astropy-pyvo-b70558c/pyvo/mivot/features/static_reference_resolver.py000066400000000000000000000050751510533647000263310ustar00rootroot00000000000000""" Class used to resolve each static REFERENCE found in mivot_block. """ from copy import deepcopy from pyvo.mivot.utils.exceptions import MivotError from pyvo.mivot.utils.xpath_utils import XPath from pyvo.utils.prototype import prototype_feature @prototype_feature('MIVOT') class StaticReferenceResolver: """ Namespace for the function processing the static REFERENCEs """ @staticmethod def resolve(annotation_seeker, templates_ref, mivot_block): """ Resolve all static REFERENCEs found in the mivot_block. The referenced objects are first searched in GLOBALS and then in the templates_ref table. REFERENCE elements are replaced with the referenced objects set with the roles of the REFERENCEs. Works even if REFERENCE tags are numbered by the former processing. Parameters ---------- annotation_seeker : AnnotationSeeker Utility to extract desired elements from the mapping block. templates_ref : str Identifier of the table where the mivot_block comes from. mivot_block : xml.etree.ElementTree The XML element object. Returns ------- int The number of references resolved. Raises ------ MappingError If the reference cannot be resolved. NotImplementedError If the reference is dynamic. """ resolved_refs = 0 for ele in XPath.x_path_startwith(mivot_block, './/REFERENCE_'): dmref = ele.get("dmref") # If we have no @dmref in REFERENCE, we consider this is a ref based on a keys if dmref is None: raise NotImplementedError("Dynamic reference not implemented") target = annotation_seeker.get_globals_instance_by_dmid(dmref) if target is None and templates_ref is not None: target = annotation_seeker.get_templates_instance_by_dmid(templates_ref, dmref) if target is None: raise MivotError(f"Cannot resolve reference={dmref}") target_copy = deepcopy(target) # If the reference is within a collection: no role if ele.get('dmrole'): target_copy.attrib["dmrole"] = ele.get('dmrole') parent_map = {c: p for p in mivot_block.iter() for c in p} parent = parent_map[ele] # Insert the referenced object parent.append(target_copy) # Drop the reference parent.remove(ele) resolved_refs += 1 return resolved_refs astropy-pyvo-b70558c/pyvo/mivot/glossary.py000066400000000000000000000166641510533647000211360ustar00rootroot00000000000000""" Glossary for the MIVOT package - Model related words (hard-coded for now) - URLs """ __all__ = ["Url", "IvoaType", "Roles", "CoordSystems", "ModelPrefix", "VodmlUrl", "EpochPositionAutoMapping"] class Url: """ Service URL(s) that are used by the API """ #: Filter Profile Service URL (SVO) FPS = ( "http://svo2.cab.inta-csic.es/svo/theory/fps/fpsmivot.php?PhotCalID=" ) class IvoaType: """ Primitive VODML types """ #: primitive type for strings string = "ivoa:string" #: primitive type for reals real = "ivoa:real" #: primitive type for real quantity (real + unit) RealQuantity = "ivoa:RealQuantity" #: primitive type for booleans bool = "ivoa:boolean" #: primitive type for a point in time datetime = "ivoa:datatime" class Roles: """ Accepted roles for all implemented classes; correspond to the last path element of the ``dmroles`` as defined in VODML (VODML-ID) """ # Roles of the EpochPosition class that are supported # Do not change the ordering: it used below to access fields EpochPosition = [ "longitude", "latitude", "parallax", "radialVelocity", "pmLongitude", "pmLatitude", "obsDate", ] #: Roles of the EpochPositionCorrelations class that are supported EpochPositionCorrelations = [ "longitudeParallax", "latitudeParallax", "pmLongitudeParallax", "pmLatitudeParallax", "longitudeLatitude", "pmLongitudePmLatitude", "latitudePmLatitude", "latitudePmLongitude", "longitudePmLatitude", "longitudePmLongitude", "isCovariance", ] #: Roles of the EpochPositionErrors class that are supported EpochPositionErrors = [ "parallax", "radialVelocity", "position", "properMotion", ] #: Roles of the PErrorSym1D class that is supported PErrorSym1D = [ "sigma" ] #: Roles of the PErrorAsym1D class that are supported PErrorAsym1D = [ "low", "high" ] #: Roles of the PErrorSym2D class that are supported PErrorSym2D = [ "sigma1", "sigma2" ] #: Roles of the PErrorSym2D class that are supported PErrorEllipse = [ "semiMajorAxis", "semiMinorAxis", "angle" ] #: Roles of the PhotometricProperty class that are supported PhotometricProperty = ["value", "error" ] #: Roles of the Color class that are supported Color = ["value", "error", "definition" ] #: Roles of the QueryOrigin class that are supported QueryOrigin = ["publisher", "server_software", "service_protocol", "request", "request_date", "query", "contact", "ivoid" ] #: Roles of the DataOrigin class that are supported DataOrigin = ["ivoid", "reference_url", "resource_version", "creators", "cites", "is_derived_from", "original_date", "rights", "rights_uri", "articles" ] #: Roles of the Article class that are supported Article = ["identifier", "editor" ] class CoordSystems: """ Supported values for the coordinate system parameters (space and time) """ #: see IVOA `refframe `_ vocabulary space_frames = ["eq_FK4", "FK4", "eq_FK5", "FK5", "ICRS", "GALACTIC", "SUPER_GALACTIC", "ECLIPTIC"] #: see IVOA `refposition `_ vocabulary ref_positions = ["BARYCENTER", "GEOCENTER", "TOPOCENTER"] #: see IVOA `timescale `_ vocabulary time_frames = ["TAI", "TT", "TDT", "ET", "IAT", "UT1", "UTC", "GMT", "GPS", "TCG", "TCB", "TBD", "LOCAL"] #: supported time formats (could be replaced witha vocabulary later on) time_formats = ["byear", "cxcsec", "decimalyear", "fits", "gps", "iso", "timestamp", "jyear", "year", "jd", "mjd"] class ModelPrefix: """ Model names as defined in VODML """ #: `VODML `_ primitive types ivoa = "ivoa" #: VODML prefix of the MANGO model mango = "mango" #: VODML prefix of the `Photometry Data Model #: `_ Phot = "Phot" #: VODML prefix of the Astronomical `Astronomical Coordinates and Coordinate Systems #: `_ datamodel coords = "coords" #: VODML prefix of the `Astronomical Measurements Model #: `_ meas = "meas" class VodmlUrl: """ VODML URLs of the supported models. Names of the class attributes match the `ModelPrefix` fields. """ #: VODML URL of the `VODML #: `_ primitive types ivoa = "https://www.ivoa.net/xml/VODML/IVOA-v1.vo-dml.xml" #: VODML URL of the MANGO model mango = "https://raw.githubusercontent.com/ivoa-std/MANGO/refs/heads/wd-v1.0/vo-dml/mango.vo-dml.xml" #: VODML URL of the `Photometry Data Model `_ Phot = "https://ivoa.net/xml/VODML/Phot-v1.vodml.xml" #: VODML URL of the `Astronomical Coordinates and Coordinate Systems #: `_ datamodel coords = "https://ivoa.net/xml/VODML/Coords-v1.vo-dml.xml" #: VODML URL of the `Astronomical Measurements Model #: `_ meas = "https://ivoa.net/xml/VODML/Meas-v1.vo-dml.xml" class EpochPositionAutoMapping: """ Expected UCDs for identifying FIELD to be mapped to EpochPosition attributes. - UCD-s of the associated errors are derived from them - list items must have an exact match - Single values are evaluated as starting with """ #: UCD-s accepted to map the longitude longitude = ["POS_EQ_RA_MAIN", "pos.eq.ra;meta.main"] #: UCD-s accepted to map the latitude latitude = ["POS_EQ_DEC_MAIN", "pos.eq.dec;meta.main"] #: UCD-s accepted to map the proper motion longitude pmLongitude = ["pos.pm;pos.eq.ra"] #: UCD-s accepted to map the proper motion latitude pmLatitude = ["pos.pm;pos.eq.dec"] #: UCD-s accepted to map the obsDate obsDate = ["time.epoch;obs;stat.mean", "time.epoch;obs"] #: UCD-s accepted to map the parallax parallax = ["pos.parallax.trig"] #: first word of UCD-s accepted to map the radial velocity radialVelocity = "spect.dopplerVeloc.opt" class SkyCoordMapping: """ Mapping of the MANGO:EpochPosition parameters to the SkyCoord parameters """ default_params = { Roles.EpochPosition[0]: 'ra', Roles.EpochPosition[1]: 'dec', Roles.EpochPosition[2]: 'distance', Roles.EpochPosition[3]: 'radial_velocity', Roles.EpochPosition[4]: 'pm_ra_cosdec', Roles.EpochPosition[5]: 'pm_dec', Roles.EpochPosition[6]: 'obstime'} galactic_params = { Roles.EpochPosition[0]: 'l', Roles.EpochPosition[1]: 'b', Roles.EpochPosition[2]: 'distance', Roles.EpochPosition[3]: 'radial_velocity', Roles.EpochPosition[4]: 'pm_l_cosb', Roles.EpochPosition[5]: 'pm_b', Roles.EpochPosition[6]: 'obstime'} astropy-pyvo-b70558c/pyvo/mivot/seekers/000077500000000000000000000000001510533647000203455ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/mivot/seekers/__init__.py000066400000000000000000000001461510533647000224570ustar00rootroot00000000000000""" ``seekers`` package contains utilities for retrieving components of VOTales or of Mivot blocks """astropy-pyvo-b70558c/pyvo/mivot/seekers/annotation_seeker.py000066400000000000000000000363501510533647000244360ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ Utilities for extracting sub-blocks from a MIVOT mapping block. """ import logging from pyvo.mivot.utils.exceptions import MivotError, MappingError from pyvo.mivot.utils.vocabulary import Att, Ele from pyvo.mivot.utils.vocabulary import Constant from pyvo.mivot.utils.xpath_utils import XPath from pyvo.utils.prototype import prototype_feature @prototype_feature('MIVOT') class AnnotationSeeker: """ This class provides tools for extracting mapping sub-blocks commonly used by other stake-holders. All functions using the mapping employ this class to obtain XML elements. To simplify the job for other tools, the XML namespace is removed from the mapping block. Attributes: ---------- _xml_block (~`xml.etree.ElementTree.Element`): Full mapping block. _globals_block (~`xml.etree.ElementTree.Element` or None): GLOBALS block. _templates_blocks (dict): Templates dictionary where keys are tableref and values are XML-TEMPLATES. """ def __init__(self, xml_block): """ Initializes the AnnotationSeeker. - Split the mapping as elements of interest. - Remove the name_spaces. - Append numbers to JOIN/REFERENCE. Parameters ---------- xml_block (~`xml.etree.ElementTree.Element`): XML mapping block """ self._xml_block = xml_block self._globals_block = None self._templates_blocks = {} self._find_globals_block() self._find_templates_blocks() self._rename_ref_and_join() def _find_globals_block(self): """ Extract the GLOBALS element from the XML mapping block and store its reference. """ for child in self._xml_block: if self._name_match(child.tag, Ele.GLOBALS): logging.debug("Found " + Ele.GLOBALS) self._globals_block = child def _find_templates_blocks(self): """ Search the TEMPLATES elements from the XML mapping block and store its reference. This method iterates through the children of the XML mapping block, identifies TEMPLATES blocks, and associates them with their respective @tableref values in the _templates_blocks dictionary. Returns ------- dict: TEMPLATES tablerefs and their mapping blocks {'tableref': mapping_block, ...} Raises ------ MivotElementNotFound If a TEMPLATES block is found without a @tableref attribute, and there are already other TEMPLATES blocks. """ for child in self._xml_block: if self._name_match(child.tag, Ele.TEMPLATES): tableref = child.get(Att.tableref) if tableref is not None: logging.debug("Found " + Ele.TEMPLATES + " %s", tableref) self._templates_blocks[tableref] = child elif not self._templates_blocks: logging.debug("Found " + Ele.TEMPLATES + " without " + Att.tableref) self._templates_blocks["DEFAULT"] = child else: raise MivotError(Ele.TEMPLATES + " without " + Att.tableref + " must be unique") def _rename_ref_and_join(self): """ Tag specified elements with a numerical suffix to make them unique. This is necessary to avid confusions when resolving cross references between elements The elements that are renamed are: - JOIN - REFERENCE """ cpt = 1 for tag in ['REFERENCE', 'JOIN']: xpath = './/' + tag for ele in XPath.x_path(self._xml_block, xpath): ele.tag = tag + '_' + str(cpt) cpt += 1 @staticmethod def _name_match(name, expected): """ Return true if name matches expected whatever the namespace Parameters ---------- name (str): Name to compare expected (str): Expected name for the comparison Returns ------- bool """ if type(name).__name__ == 'cython_function_or_method': return False return name.endswith(expected) """ Properties """ @property def globals_block(self): """ GLOBALS getter """ return self._globals_block def get_globals_collections(self): """ Return a list of all GLOBALS/COLLECTION elements. These collections have no @dmroles but often @dmids. They have particular roles - Used by references (e.g., filter definition) - Used as head of the mapped model (e.g., [Cube instance]) Returns ------- list: GLOBALS/COLLECTION elements """ return XPath.x_path(self._globals_block, ".//COLLECTION") def get_models(self): """ Get the declared MODELs and their URLs. Returns ------- dict: MODELs and their URLs {'model': [url], ...} """ models_found = {} eset = XPath.x_path(self._xml_block, ".//" + Ele.MODEL) for ele in eset: models_found[ele.get("name")] = ele.get("url") return models_found def get_templates_tableref(self): """ Get all @tableref of the mapping. Returns ------- list: @tableref found in the mapping """ return self._templates_blocks.keys() def get_templates(self): """ Return a list of TEMPLATES @tableref. Returns ------- [string] tablerefs of all TEMPLATES elements """ templates_found = [] eset = XPath.x_path(self._xml_block, ".//" + Ele.TEMPLATES) for ele in eset: tableref = ele.get("tableref") if tableref is None: tableref = Constant.FIRST_TABLE templates_found.append(tableref) return templates_found def get_templates_block(self, tableref): """ Return the TEMPLATES mapping block of the table identified @tableref. If tableref is None or equals to Constant.FIRST_TABLE, return the first TEMPLATES. Parameters ---------- tableref (str): @tableref of the searched TEMPLATES Returns ------- XML element: matching TEMPLATES block or None """ # one table: name forced to DEFAULT or take the first if tableref is None or tableref == Constant.FIRST_TABLE: for _, tmpl in self._templates_blocks.items(): return tmpl if tableref not in self._templates_blocks: raise MivotError( "No TEMPLATES with tableref=" + tableref) return self._templates_blocks[tableref] """ INSTANCE """ def get_instance_dmtypes(self): """ Get @dmtypes of all mapped instances Returns ------- dict: @dmtypes of all mapped instances {GLOBALS: [], TEMPLATES: {}} """ dmtypes_found = {Ele.GLOBALS: [], Ele.TEMPLATES: {}} eset = XPath.x_path(self._globals_block, ".//" + Ele.INSTANCE) for ele in eset: dmtypes_found[Ele.GLOBALS].append(ele.get(Att.dmtype)) for tableref, block in self._templates_blocks.items(): dmtypes_found[Ele.TEMPLATES][tableref] = [] eset = XPath.x_path(block, ".//" + Ele.INSTANCE) for ele in eset: dmtypes_found[Ele.TEMPLATES][tableref].append(ele.get(Att.dmtype)) return dmtypes_found def get_instance_by_dmtype(self, dmtype_pattern): """ Get all the mapped instances that have a @dmtype containing dmtype_pattern Parameters ---------- dmtype_pattern (str): @dmtype looked for Returns ------- dict: @dmtypes of all mapped instances {'dmtype': [instance], ...} """ instance_found = {Ele.GLOBALS: [], Ele.TEMPLATES: {}} eset = XPath.x_path_contains(self._globals_block, ".//" + Ele.INSTANCE, Att.dmtype, dmtype_pattern ) instance_found[Ele.GLOBALS] = eset for (tableref, block) in self._templates_blocks.items(): instance_found[Ele.TEMPLATES][tableref] = XPath.x_path_contains(block, './/' + Ele.INSTANCE, Att.dmtype, dmtype_pattern) return instance_found """ GLOBALS INSTANCES """ def get_globals_instances(self): """ Return the list of all GLOBALS/INSTANCE elements. These collections have no @dmroles but often @dmids. They have particular roles when: - Used by references (e.g., filter definition) - Used as head of the mapped model (e.g., Cube instance) Returns ------- list: GLOBALS/INSTANCE elements """ return XPath.x_path(self._globals_block, "./" + Ele.INSTANCE) def get_globals_instance_dmids(self): """ Get a list of @dmid for GLOBALS/INSTANCE. Returns ------- list: @dmid of GLOBALS/INSTANCE """ dmids_found = [] eset = XPath.x_path(self._globals_block, ".//" + Ele.INSTANCE + "[@" + Att.dmid + "]") for ele in eset: dmids_found.append(ele.get(Att.dmid)) return dmids_found def get_globals_instance_by_dmid(self, dmid): """ Get the GLOBALS/INSTANCE with @dmid=dmid. Parameters ---------- dmid (str): @dmid of the searched GLOBALS/INSTANCE Returns ------- dict: `~xml.etree.ElementTree.Element` """ eset = XPath.x_path(self._globals_block, (".//" + Ele.INSTANCE + "[@" + Att.dmid + "='" + dmid + "']") ) for ele in eset: return ele return None def get_globals_instance_dmtypes(self): """ Get the list the @dmtype GLOBALS/INSTANCE. Returns ------- list: @dmtype of GLOBALS/INSTANCE """ dmtypes_found = [] for inst in self.get_globals_instances(): dmtypes_found.append(inst.get(Att.dmtype)) return dmtypes_found def get_templates_instance_by_dmid(self, tableref, dmid): """ Get the TEMPLATES/INSTANCE with @dmid=dmid and TEMPLATES@tableref=tableref. Parameters ---------- tableref (str): @tableref of the searched TEMPLATES dmid (str): @dmid of the searched TEMPLATES/INSTANCE Returns ------- dict: ~`xml.etree.ElementTree.Element` """ templates_block = self.get_templates_block(tableref) if templates_block is None: return None eset = XPath.x_path(templates_block, ".//" + Ele.INSTANCE + "[@" + Att.dmid + "='" + dmid + "']") for ele in eset: return ele return None def get_globals_instance_from_collection(self, sourceref, pk_value): """ Get the GLOBALS/COLLECTION[@dmid=sourceref]/INSTANCE/PRIMARY_KEY[@value='pk_value']. Parameters ---------- sourceref (str): @dmid of the searched GLOBALS/COLLECTION pk_value: (str): @value of the searched GLOBALS/COLLECTION/INSTANCE/PRIMARY_KEY Returns ------- dict: ~`xml.etree.ElementTree.Element` """ einst = XPath.x_path( self._globals_block, ".//" + Ele.COLLECTION + "[@" + Att.dmid + "='" + sourceref + "']/" + Ele.INSTANCE + "/" + Att.primarykey + "[@" + Att.value + "='" + pk_value + "']") parent_map = {c: p for p in self._globals_block.iter() for c in p} for inst in einst: return parent_map[inst] return None """ GLOBALS COLLECTION """ def get_globals_collection(self, dmid): """ Get the GLOBALS/COLLECTION with @dmid=dmid. Parameters ---------- dmid (str):@dmid of the searched GLOBALS/COLLECTION Returns ------- dict: `xml.etree.ElementTree.Element` """ eset = XPath.x_path(self._globals_block, ".//" + Ele.GLOBALS + "/" + Ele.COLLECTION + "[@" + Att.dmid + "='" + dmid + "']") for ele in eset: return ele return None def get_globals_collection_dmids(self): """ Get the list of all the @dmid of GLOBALS/COLLECTION. Returns ------- list: @dmid of GLOBALS/COLLECTION """ dmids_found = [] eset = XPath.x_path(self._globals_block, ".//" + Ele.COLLECTION + "[@" + Att.dmid + "]") for ele in eset: dmids_found.append(ele.get(Att.dmid)) return dmids_found def get_globals_collection_dmtypes(self): """ Get the list of the @dmtype of GLOBALS/COLLECTION/INSTANCE. Used for collections of static objects. Returns ------- list: @dmtype of GLOBALS/COLLECTION/INSTANCE """ eles = XPath.x_path(self._globals_block, ".//" + Ele.COLLECTION + "/" + Ele.INSTANCE) dmtypes_found = [] for inst in eles: dmtype = inst.get(Att.dmtype) if dmtype not in dmtypes_found: dmtypes_found.append(dmtype) return dmtypes_found def get_collection_item_by_primarykey(self, coll_dmid, key_value): """ Get the GLOBALS/COLLECTION/INSTANCE with COLLECTION@dmid=dmid and INSTANCE with a PRIMARY_key which @value matches key_value. An exception is raised if there is less or more than one element matching the criteria. The 2 parameters match the dynamic REFERENCE definition. Parameters ---------- coll_dmid (str): @dmid of the searched GLOBALS/COLLECTION key_value (str): @value of the searched GLOBALS/COLLECTION/INSTANCE/PRIMARY_KEY Returns ------- dict: ~`xml.etree.ElementTree.Element` Raises ------ MivotElementNotFound: If no element matches the criteria. MappingError: If more than one element matches the criteria. """ eset = XPath.x_path(self._globals_block, ".//" + Ele.COLLECTION + "[@" + Att.dmid + "='" + coll_dmid + "']/" + Ele.INSTANCE + "/" + Att.primarykey + "[@" + Att.value + "='" + key_value + "']") if len(eset) == 0: message = (f"{Ele.INSTANCE} with {Att.primarykey} = {key_value} in " f"{Ele.COLLECTION} {Att.dmid} {key_value} not found" ) raise MivotError(message) if len(eset) > 1: message = ( f"More than one {Ele.INSTANCE} with {Att.primarykey}" f" = {key_value} found in {Ele.COLLECTION} " f"{Att.dmid} {key_value}" ) raise MappingError(message) logging.debug(Ele.INSTANCE + " with " + Att.primarykey + "=%s found in " + Ele.COLLECTION + " " + Att.dmid + "=%s", key_value, coll_dmid) parent_map = {c: p for p in self._globals_block.iter() for c in p} return parent_map[eset[0]] astropy-pyvo-b70558c/pyvo/mivot/seekers/resource_seeker.py000066400000000000000000000074521510533647000241140ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ Class that provides multiple getters on VOTable RESOURCE elements. """ from pyvo.mivot.utils.vocabulary import Constant from pyvo.utils.prototype import prototype_feature @prototype_feature('MIVOT') class ResourceSeeker: """ This class provides multiple getters on resource tables. Some methods are simple wrappers for external tools in order to have all the search functions on RESOURCE gathered in within a single namespace. """ def __init__(self, resource): """ Constructor Parameters ---------- resource (astropy.votable.Resource): The resource object to be queried. """ self._resource = resource def get_table_ids(self): """ Return the list of table ids. Only resource children are considered. The @ID is first searched and then the @name, and finally 'AnonymousTable' is taken. Returns ------- list of str: table ids. """ ids_found = [] for table in self._resource.tables: if table.ID is not None: ids_found.append(table.ID) elif table.name is not None: ids_found.append(table.name) else: ids_found.append(Constant.ANONYMOUS_TABLE) return ids_found def get_table(self, table_name_or_id): """ Return the table matching table_name first by ID and then by name. Parameters ---------- table_name_or_id (str): Name or id of the table to get. Returns ------- ~astropy.votable.table: table matching the table_name. """ if table_name_or_id == Constant.FIRST_TABLE: return self._resource.tables[0] for table in self._resource.tables: if (table_name_or_id is None or table.name == table_name_or_id or table.ID == table_name_or_id): return table return None def get_params(self): """ Return the VOTable PARAMS. Returns ------- ~astropy.votable.Resource.params: VOTable PARAMS. """ return self._resource.params def get_id_index_mapping(self, table_name): """ Build an index binding column number with field id. Parameters ---------- table_name (str): Name of the table. Returns ------- dict: dictionary mapping field id to column number: {name: {ID, ref, indx}...} """ column_index = {} table = self.get_table(table_name) indx = 0 for field in table.fields: field_desc = {} if field.ID is not None: field_desc["ID"] = field.ID if field.ref is not None: field_desc["ref"] = field.ref field_desc["indx"] = indx if "ID" not in field_desc: field_desc["ID"] = field.name column_index[field.name] = field_desc indx += 1 return column_index def get_id_unit_mapping(self, table_name): """ Build an index binding field unit with field id. Parameters ---------- table_name (str): Name of the table. Returns ------- dict: A dictionary mapping field id to field unit {ID1: unit, name1: unit, ref1: unit ...}. """ unit_index = {} table = self.get_table(table_name) for field in table.fields: unit = field.unit if field.ID is not None: unit_index[field.ID] = unit elif field.name is not None: unit_index[field.name] = unit elif field.ref is not None: unit_index[field.ref] = unit return unit_index astropy-pyvo-b70558c/pyvo/mivot/seekers/table_iterator.py000066400000000000000000000032301510533647000237150ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ Iterator for table rows. """ from pyvo.utils.prototype import prototype_feature @prototype_feature('MIVOT') class TableIterator: """ Simple wrapper iterating over table rows. Some methods are simple wrappers for external tools in order to have all the search functions on TABLE gathered in within a single namespace. """ def __init__(self, name, data_table): """ Constructor of the TableIterator class. Parameters ---------- name (str): Table name (not really used). data_table (~numpy.ndarray): Numpy table returned by `~astropy.votable`. """ self.name = name self.data_table = data_table self.last_row = None self.iter = None # not used yet self.row_filter = None def get_next_row(self): """ Return the next Numpy row or None. The end of table exception usually returned by Numpy is trapped. """ # The iterator is set at the first iteration if self.iter is None: self.iter = iter(self.data_table) try: while True: row = next(self.iter) if row is not None: if self.row_filter is None or self.row_filter.row_match(row): self.last_row = row return row else: return None except StopIteration: return None def rewind(self): """ Set the pointer on the table-top, destroys the iterator actually. """ self.iter = None astropy-pyvo-b70558c/pyvo/mivot/tests/000077500000000000000000000000001510533647000200465ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/mivot/tests/__init__.py000066400000000000000000000076571510533647000221760ustar00rootroot00000000000000""" Utility class to check that generated XML match reference elements. Only used by the tests """ from pyvo.utils import activate_features # Activate MIVOT for all tests activate_features('MIVOT') try: from defusedxml import ElementTree as etree except ImportError: from xml.etree import ElementTree as etree from pyvo.mivot.utils.xml_utils import XmlUtils class XMLOutputChecker: """ This class is used to compare XML outputs, ignoring whitespace differences. """ def check_output(self, want, got): """ Compare two XML outputs, ignoring whitespace differences. Parameters ---------- want : str The expected XML output. got : str The actual XML output. Returns ------- bool True if the two XML outputs are equal, False otherwise. """ return (self._format_xml(want.strip()) == self._format_xml(got.strip())) def output_difference(self, want, got): """ Return a string describing the differences between two XML outputs. Parameters ---------- want : str The expected XML output. got : str The actual XML output. Returns ------- str A string describing the differences between the two XML outputs. """ return f"Diff:\n{self._format_xml(want)}\nvs.\n{self._format_xml(got)}" def _format_xml(self, xml_str): """ Format an XML string. Parameters ---------- xml_str : str The XML string to format. Returns ------- str The formatted XML string. """ return "\n".join(line.strip() for line in xml_str.splitlines()) @staticmethod def xmltree_to_file(xmltree, file_path): """ Write an XML tree to a file. Parameters ---------- xmltree : ~`xml.etree.ElementTree.Element` The XML tree to write to the file. file_path : str The path to the output file. """ with open(file_path, 'w') as output: output.write(XmlUtils.pretty_string(xmltree)) @staticmethod def xmltree_from_file(file_path): """ Parse an XML tree from a file. Parameters ---------- file_path : str The path to the XML file. Returns ------- ~`xml.etree.ElementTree.Element` The parsed XML tree. """ return etree.parse(file_path) @staticmethod def assertXmltreeEquals(xmltree1, xmltree2): """ Assert that two XML trees are equal. Parameters ---------- xmltree1 : ~`xml.etree.ElementTree.Element` The first XML tree for comparison. xmltree2 : ~`xml.etree.ElementTree.Element` The second XML tree for comparison. """ xml_str1 = etree.tostring(xmltree1).decode("utf-8") xml_str2 = etree.tostring(xmltree2).decode("utf-8") checker = XMLOutputChecker() assert checker.check_output(xml_str1, xml_str2, 0), f"XML trees differ:\n{xml_str1}\n---\n{xml_str2}" @staticmethod def assertXmltreeEqualsFile(xmltree1, xmltree2_file): """ Assert that an XML tree is equal to the content of a file. Parameters ---------- xmltree1 : ~`xml.etree.ElementTree.Element` The XML tree for comparison. xmltree2_file : str The path to the file containing the second XML tree. """ xmltree2 = XMLOutputChecker.xmltree_from_file(xmltree2_file).getroot() xml_str1 = etree.tostring(xmltree1).decode("utf-8").strip() xml_str2 = etree.tostring(xmltree2).decode("utf-8").strip() checker = XMLOutputChecker() assert checker.check_output(xml_str1, xml_str2), f"XML trees differ:\n{xml_str1}\n---\n{xml_str2}" astropy-pyvo-b70558c/pyvo/mivot/tests/conftest.py000066400000000000000000000012661510533647000222520ustar00rootroot00000000000000from contextlib import contextmanager import pytest import requests_mock class ContextAdapter(requests_mock.Adapter): """ requests_mock adapter where ``register_uri`` returns a context manager """ @contextmanager def register_uri(self, *args, **kwargs): matcher = super().register_uri(*args, **kwargs) yield matcher self.remove_matcher(matcher) def remove_matcher(self, matcher): if matcher in self._matchers: self._matchers.remove(matcher) @pytest.fixture(scope='function') def mocker(): with requests_mock.Mocker( adapter=ContextAdapter(case_sensitive=True) ) as mocker_ins: yield mocker_ins astropy-pyvo-b70558c/pyvo/mivot/tests/data/000077500000000000000000000000001510533647000207575ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/mivot/tests/data/filter_gaia_grp.xml000066400000000000000000000063731510533647000246300ustar00rootroot00000000000000 astropy-pyvo-b70558c/pyvo/mivot/tests/data/filter_gaia_grvs.xml000066400000000000000000000063771510533647000250250ustar00rootroot00000000000000 astropy-pyvo-b70558c/pyvo/mivot/tests/data/reference/000077500000000000000000000000001510533647000227155ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/mivot/tests/data/reference/annotation_seeker.0.1.xml000066400000000000000000000122651510533647000274520ustar00rootroot00000000000000 astropy-pyvo-b70558c/pyvo/mivot/tests/data/reference/annotation_seeker.0.2.xml000066400000000000000000000040751510533647000274530ustar00rootroot00000000000000 astropy-pyvo-b70558c/pyvo/mivot/tests/data/reference/annotation_seeker.0.4.xml000066400000000000000000000012211510533647000274430ustar00rootroot00000000000000 astropy-pyvo-b70558c/pyvo/mivot/tests/data/reference/globals_models.json000066400000000000000000000010431510533647000265740ustar00rootroot00000000000000{"coords": "https://www.ivoa.net/xml/STC/20200908/Coords-v1.0.vo-dml.xml", "cube": "https://volute.g-vo.org/svn/trunk/projects/dm/Cube/vo-dml/Cube-1.0.vo-dml.xml", "ds": "https://volute.g-vo.org/svn/trunk/projects/dm/DatasetMetadata/vo-dml/DatasetMetadata-1.0.vo-dml.xml", "ivoa": "https://www.ivoa.net/xml/VODML/IVOA-v1.vo-dml.xml", "mango": "file:/Users/sao/Documents/IVOA/GitHub/ivoa-dm-examples/tmp/Mango-v1.0.vo-dml.xml", "meas": "https://www.ivoa.net/xml/Meas/20200908/Meas-v1.0.vo-dml.xml"}astropy-pyvo-b70558c/pyvo/mivot/tests/data/reference/instance_dmtypes.json000066400000000000000000000015171510533647000271650ustar00rootroot00000000000000{ "GLOBALS": [ "coords:TimeSys", "coords:TimeFrame", "coords:StdRefLocation", "coords:SpaceSys", "coords:SpaceFrame", "mango:coordinates.PhotometryCoordSys", "mango:coordinates.PhotFilter", "mango:coordinates.PhotometryCoordSys", "mango:coordinates.PhotFilter", "mango:coordinates.PhotometryCoordSys", "mango:coordinates.PhotFilter", "ds:experiment.ObsDataset", "ds:experiment.Target" ], "TEMPLATES": { "_PKTable": [ "cube:SparseCube" ], "Results": [ "cube:NDPoint", "cube:Observable", "meas:Time", "coords:MJD", "cube:Observable", "meas:GenericMeasure", "coords:PhysicalCoordinate", "cube:Observable", "meas:GenericMeasure", "coords:PhysicalCoordinate", "meas:Error", "meas:Symmetrical" ] } }astropy-pyvo-b70558c/pyvo/mivot/tests/data/reference/mango_object.xml000066400000000000000000000453751510533647000261040ustar00rootroot00000000000000 astropy-pyvo-b70558c/pyvo/mivot/tests/data/reference/multiple_templates.xml000066400000000000000000000004741510533647000273550ustar00rootroot00000000000000 astropy-pyvo-b70558c/pyvo/mivot/tests/data/reference/static_reference_resolved.xml000066400000000000000000000013471510533647000306540ustar00rootroot00000000000000 astropy-pyvo-b70558c/pyvo/mivot/tests/data/reference/test_header_extraction.xml000066400000000000000000000165731510533647000302020ustar00rootroot00000000000000 astropy-pyvo-b70558c/pyvo/mivot/tests/data/reference/test_mivot_frames.xml000066400000000000000000000026041510533647000271730ustar00rootroot00000000000000 Generated by pyvo.mivot.writer astropy-pyvo-b70558c/pyvo/mivot/tests/data/reference/test_mivot_photcal.xml000066400000000000000000000074441510533647000273570ustar00rootroot00000000000000 Generated by pyvo.mivot.writer astropy-pyvo-b70558c/pyvo/mivot/tests/data/reference/test_mivot_writer.json000066400000000000000000000020041510533647000273750ustar00rootroot00000000000000{ "dmtype": "mango:EpochPosition", "longitude": { "value": 52.2340018, "unit": "deg" }, "latitude": { "value": 59.8937333, "unit": "deg" }, "errors": { "dmtype": "mango:EpochPositionErrors", "dmrole": "mango:EpochPosition.errors", "position": { "dmtype": "mango:error.ErrorCorrMatrix", "dmrole": "mango:EpochPositionErrors.position", "sigma1": { "value": 6.0, "unit": "arcsec" }, "sigma2": { "value": 6.0, "unit": "arcsec" } } }, "spaceSys": { "dmtype": "coords:SpaceSys", "dmid": "_spacesys_icrs", "dmrole": "mango:EpochPosition.spaceSys", "frame": { "dmtype": "coords:SpaceFrame", "dmrole": "coords:PhysicalCoordSys.frame", "spaceRefFrame": { "value": "ICRS" }, "refPosition": { "dmtype": "coords:StdRefLocation", "dmrole": "coords:SpaceFrame.refPosition", "position": { "value": "BARYCENTER" } } } } }astropy-pyvo-b70558c/pyvo/mivot/tests/data/reference/test_mivot_writer.xml000066400000000000000000000033431510533647000272330ustar00rootroot00000000000000 Mivot writer unit test astropy-pyvo-b70558c/pyvo/mivot/tests/data/simbad-cone-mivot.xml000066400000000000000000000225021510533647000250170ustar00rootroot00000000000000 IVOID of the service specification Used access protocol and version Data publisher HTTP request URL Query execution date Publisher email address Successful query Distance (in degrees) between this object and the cone-search's target. Main identifier for an object Right ascension Declination Object type Coordinate error major axis Coordinate error minor axis Coordinate error angle Proper motion in RA Proper motion in DEC Proper motion error major axis Proper motion error minor axis Proper motion error angle Parallax Radial Velocity Angular size major axis Angular size minor axis Galaxy ellipse angle MK spectral type Morphological type
1.0409523503457668E-5 NAME Barnard's Star c 269.45207695861900 4.69336496657667 Planet 17 57 48.4984700683 +04 41 36.113879675 0.0262 0.0290 90 -801.551 10362.394 0.032 0.036 90 546.9759 1
Truncated result astropy-pyvo-b70558c/pyvo/mivot/tests/data/static_reference.xml000066400000000000000000000011131510533647000250020ustar00rootroot00000000000000 astropy-pyvo-b70558c/pyvo/mivot/tests/data/test.header_extraction.1.xml000066400000000000000000001115131510533647000263100ustar00rootroot00000000000000 VizieR Astronomical Server vizier.cds.unistra.fr Date: 2024-03-21T15:16:08 [V7.33.3] Explanations and Statistics of UCDs: See LINK below In case of problem, please report to: cds-question@unistra.fr IVOID of the protocol through which the data was retrieved Query execution date Full request URL (POST) Email or URL to contact publisher Software version Data centre that produced the VOTable Gaia DR3 Part 1. Main source (Gaia Collaboration, 2022) IVOID of underlying data collection First author or institution Bibcode of the dataset Year of the article publication Dataset landing page Dataset identifier that can be used for citation Date of first publication in the data centre Licence URI hand-made mapping Gaia DR3 source catalog (1811709771 sources) Right ascension (FK5, Equinox=J2000.0) at Epoch=J2000, proper motions taken into account Declination (FK5, Equinox=J2000.0) at Epoch=J2000, proper motions taken into account Unique source designation (unique across all Data Releases) (designation) Right ascension (ICRS) at Ep=2016.0 (ra) Declination (ICRS) at Ep=2016.0 (dec) Unique source identifier (unique within a particular Data Release) (source_id) Standard error of right ascension (ra_error) Standard error of declination (dec_error) ? Parallax (parallax) ? Standard error of parallax (parallax_error) ? Total proper motion (pm) ? Proper motion in right ascension direction, pmRA*cosDE (pmra) ? Standard error of proper motion in right ascension direction (pmra_error) ? Proper motion in declination direction (pmdec) ? Standard error of proper motion in declination direction (pmdec_error) [-1/1] Correlation between right ascension and declination (ra_dec_corr) [-1/1]? Correlation between right ascension and parallax (ra_parallax_corr) [-1/1]? Correlation between right ascension and proper motion in right ascension (ra_pmra_corr) [-1/1]? Correlation between right ascension and proper motion in declination (ra_pmdec_corr) [-1/1]? Correlation between declination and parallax (dec_parallax_corr) [-1/1]? Correlation between declination and proper motion in right ascension (dec_pmra_corr) [-1/1]? Correlation between declination and proper motion in declination (dec_pmdec_corr) [-1/1]? Correlation between parallax and proper motion in right ascension (parallax_pmra_corr) [-1/1]? Correlation between parallax and proper motion in declination (parallax_pmdec_corr) [-1/1]? Correlation between proper motion in right ascension and proper motion in declination (pmra_pmdec_corr) ? Radial velocity (radial_velocity) ? Radial velocity error (radial_velocity_error) ? Spectral line broadening parameter (vbroad) ? Integrated Grvs magnitude (grvs_mag) [0/1] Flag indicating the availability of additional information in the QSO candidates table (in_qso_candidates) [0/1] Flag indicating the availability of additional information in the galaxy candidates table (in_galaxy_candidates) [0/7] Flag indicating the availability of additional information in the various Non-Single Star tables (non_single_star) [0/1] Flag indicating the availability of mean BP/RP spectrum in continuous representation for this source (has_xp_continuous) [0/1] Flag indicating the availability of mean BP/RP spectrum in sampled form for this source (has_xp_sampled) [0/1] Flag indicating the availability of mean RVS spectrum for this source (has_rvs) [0/1] Flag indicating the availability of epoch photometry for this source (has_epoch_photometry) [0/1] Flag indicating the availability of epoch radial velocity for this source (has_epoch_rv) [0/1] Flag indicating the availability of GSP-Phot MCMC samples for this source (has_mcmc_gspphot) [0/1] Flag indicating the availability of MSC MCMC samples for this source (has_mcmc_msc) [0/1] Flag indicating that the source is present in the Gaia Andromeda Photometric Survey (GAPS) (in_andromeda_survey) ? Effective temperature from GSP-Phot Aeneas best library using BP/RP spectra (teff_gspphot) ? Surface gravity from GSP-Phot Aeneas best library using BP/RP spectra (logg_gspphot) ? Iron abundance from GSP-Phot Aeneas best library using BP/RP spectra (mh_gspphot) ? Distance from GSP-Phot Aeneas best library using BP/RP spectra (distance_gspphot) ? Monochromatic extinction A_0 at 547.7nm from GSP-Phot Aeneas best library using BP/RP spectra (azero_gspphot) ? HIP cross-id number, van Leeuwen, Cat. I/311 (hip_original_ext_source_id) ? PS1 cross-id name, Chambers et al., Cat. II/349 (ps1_original_ext_source_id) ? SDSS name, Albareti et al., 2017ApJS..233...25A (sdss13_ext_source_id) ? SkyMapperDR2 cross-id name, Onken et al., 2019PASA...36...33O (skym2_original_ext_source_id) Tycho-2 cross-id name, Hog et al., Cat. I/259 (tyc2_original_ext_source_id) URAT1 name, Zacharias et al., Cat. I/329 (urat1_original_ext_source_id) ALLWISE cross-id name, Cutri et al., Cat. II/328 (allwise_original_ext_source_id) ? APASS9 identification, Henden et al., Cat. II/336 (apass9_original_ext_source_id) GSC2.3 cross-id name, Lasker et al., Cat. I/305 (gsc23_original_ext_source_id) RAVE DR5 cross-id name, Kunder et al., Cat. III/279 (rave5_original_ext_source_id) 2MASS cross-id name, Cutri et al., Cat. II/246 (twomass_original_ext_source_id) RAVE DR6 cross-id name, Steinmetz et al., Cat. III/283 (rave6_original_ext_source_id) Barycentric right ascension (ICRS) at Ep=2000.0 (added by CDS) (ra2000) Barycentric declination (ICRS) at Ep=2000.0 (added by CDS) (dec2000)
307.7911702004070 +20.4311044212247 Gaia DR3 1816065554621487360 307.79115807079 +20.43108005561 1816065554621487360 0.0511 0.0477 0.4319 0.0691 6.049 -2.557 0.064 -5.482 0.067 0.1212 0.1337 -0.4109 -0.0072 0.0069 -0.0085 -0.2983 -0.2603 -0.0251 0.2688 0 0 0 1 0 0 0 0 1 1 0 4696.2 4.1928 -0.7942 2428.5532 0.0380 132513077911637877 URAT1-553569515 N2PD017546 20310987+2025519 307.79117020041 20.43110442122
307.7958370989668 +20.4325479549513 Gaia DR3 1816065558924798592 307.79582391363 +20.43253083107 1816065558924798592 0.3203 0.2898 -0.5553 0.4195 4.751 -2.780 0.395 -3.853 0.426 0.3740 0.1981 -0.3253 -0.0486 0.0632 -0.0608 -0.1303 -0.2989 -0.0876 0.4716 0 0 0 0 0 0 0 0 0 0 0 132513077957999584 N2PD017483 307.79583709897 20.43254795495
307.7973736604703 +20.4355882715396 Gaia DR3 1816065558920966528 307.79737366047 +20.43558827154 1816065558920966528 6.0643 2.1063 0.7514 0 0 0 0 0 0 0 0 0 0 0 132523077973693273 307.79737366047 20.43558827154
307.7885745651585 +20.4301331822264 Gaia DR3 1816065558924801792 307.78856137441 +20.43011713943 1816065558924801792 0.1196 0.1127 0.0910 0.1671 4.557 -2.781 0.153 -3.610 0.165 0.1448 0.1580 -0.3400 0.0468 0.0149 0.0299 -0.2083 -0.2178 0.0615 0.3266 0 0 0 0 0 0 0 0 1 0 0 5071.5 4.6975 -0.7109 2923.6248 0.0090 132513077885716709 URAT1-553569502 N2PD017266 307.78857456516 20.43013318223
307.7897816527446 +20.4315208963567 Gaia DR3 1816065554622254464 307.78977228741 +20.43150439876 1816065554622254464 0.3688 0.3801 -0.6243 0.5059 4.205 -1.975 0.444 -3.712 0.498 0.2553 0.0889 -0.3890 -0.0365 -0.0773 -0.0307 -0.2998 -0.2452 0.0025 0.3249 0 0 0 0 0 0 0 0 0 0 0 132513077897708356 N2PD096440 307.78978165274 20.43152089636
matching records value="truncated result (maxtup=5)" astropy-pyvo-b70558c/pyvo/mivot/tests/data/test.header_extraction.2.xml000066400000000000000000000121141510533647000263060ustar00rootroot00000000000000 VizieR Astronomical Server cds:8082 Date: 2025-04-19T10:08:58 [V7.5] Explanations and Statistics of UCDs: See LINK below In case of problem, please report to: cds-question@unistra.fr IVOID of the protocol through which the data was retrieved Query execution date Full request URL Email or URL to contact publisher Software version Data centre that produced the VOTable Constraint -out.meta=dhuM 1400-MHz Sky Survey, Maps Covering Dec -5 to +82 (Condon+ 1985-86) IVOID of underlying data collection First author or institution Article or Data origin sources Editor name (article) Year of the article publication Dataset landing page Date of first publication in the data centre Licence URI List of the map centers Distance from center (000.0-08.5)[FK4/B1950] Record number assigned by the VizieR team. Should Not be used for identification. [datatype=int] Observation date Right Ascension (B1950) of map center Declination (B1950) of map center Name of FITS file in "maps" subdirectory Associated Data web page Downbload the FITS file Right ascension (ICRS) (computed by VizieR, not part of the original data) Declination (ICRS) (computed by VizieR, not part of the original data)
0.0011983-10-06000.0-08.5f001.fitfitsFITS000.6405-08.2216
matching records astropy-pyvo-b70558c/pyvo/mivot/tests/data/test.header_extraction.xml000066400000000000000000003212711510533647000261550ustar00rootroot00000000000000 VizieR Astronomical Server cdsarc.cds.unistra.fr Date: 2025-04-07T12:06:32 [V7.4.6] Explanations and Statistics of UCDs: See LINK below In case of problem, please report to: cds-question@unistra.fr IVOID of the protocol through which the data was retrieved Query execution date Full request URL Email or URL to contact publisher Software version Data centre that produced the VOTable Constraint -out.meta=dhuM URAT1 Catalog (Zacharias+ 2015) IVOID of underlying data collection First author or institution Article or Data origin sources Editor name (article) Year of the article publication Dataset landing page Date of first publication in the data centre Licence URI URAT1 catalog Distance from center (052.2670800+59.9402700)[ICRS], at Epoch of catalog (Epoch) URAT1 recommended identifier (ZZZ-NNNNNN) (13) [datatype=char] Right ascension on ICRS, at "Epoch" (1) Declination on ICRS, at "Epoch" (1) Position error per coordinate, from scatter (2) Position error per coordinate, from model (2) (nst) Total number of sets the star is in (3) (nsu) Number of sets used for mean position (3) (epoc) Mean URAT observation epoch (1) ?(mmag) mean URAT model fit magnitude (4) ?(sigp) URAT photometry error (5) (nsm) Number of sets used for URAT magnitude (3) (ref) largest reference star flag (6) (nit) Total number of images (observations) (niu) Number of images used for mean position (ngt) Total number of 1st order grating observations (ngu) Number of 1st order grating positions used ?(pmr) Proper motion RA*cosDec (from 2MASS) (7) ?(pmd) Proper motion in Declination (7) ?(pme) Proper motion error per coordinate (8) [1/11] Match flag URAT with 2MASS (9) [1/11] Match flag URAT with APASS (9) [-] "-" if there is no match with GSC2.4 (14) ?(id2) unique 2MASS star identification number ?(jmag) 2MASS J-band magnitude ?(ejmag) Error on Jmag [0,58]? J-band quality-confusion flag (10) ?(hmag) 2MASS H-band magnitude ?(ehmag) Error on H-band magnitude (10) [0,58]? H-band quality-confusion flag (10) ?(kmag) 2MASS Ks-band magnitude ?(ekmag) Error on Ks-band magnitude (10) [0,58]? Ks-band quality-confusion flag (10) (ann) Number of APASS observation nights (12) (ano) Number of APASS observations (12) ?(abm) APASS B-band magnitude (11) ?(ebm) Error on Bmag ?(avm) APASS V-band magnitude ?(evm) Error on Vmag ?(agm) APASS g-band magnitude ?(egm) Error on gmag ?(arm) APASS r-band magnitude ?(erm) Error on rmag ?(aim) APASS i-band magnitude ?(eim) Error on imag
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matching records astropy-pyvo-b70558c/pyvo/mivot/tests/data/test.instance_multiple.xml000066400000000000000000000304541510533647000262040ustar00rootroot00000000000000 Automatically annotated by XTAPDB the flux of the energy band number 1 of the ep camera in sc the flux of the energy band number 2 of the ep camera in sc the flux of the energy band number 3 of the ep camera in sc
0.0 0.1 0.2
1.0 2.1 3.2
astropy-pyvo-b70558c/pyvo/mivot/tests/data/test.mango_annoter.xml000066400000000000000000000732701510533647000253170ustar00rootroot00000000000000 VizieR Astronomical Server vizier.cds.unistra.fr Date: 2024-03-21T15:16:08 [V7.33.3] Explanations and Statistics of UCDs: See LINK below In case of problem, please report to: cds-question@unistra.fr IVOID of the protocol through which the data was retrieved Query execution date Full request URL (POST) Email or URL to contact publisher Software version Data centre that produced the VOTable Gaia DR3 Part 1. Main source (Gaia Collaboration, 2022) IVOID of underlying data collection First author or institution Bibcode of the dataset Year of the article publication Dataset landing page Dataset identifier that can be used for citation Date of first publication in the data centre Licence URI Gaia DR3 source catalog (1811709771 sources) Right ascension (FK5, Equinox=J2000.0) at Epoch=J2000, proper motions taken into account Declination (FK5, Equinox=J2000.0) at Epoch=J2000, proper motions taken into account Unique source designation (unique across all Data Releases) (designation) Right ascension (ICRS) at Ep=2016.0 (ra) Declination (ICRS) at Ep=2016.0 (dec) Unique source identifier (unique within a particular Data Release) (source_id) Standard error of right ascension (ra_error) Standard error of declination (dec_error) ? Parallax (parallax) ? Standard error of parallax (parallax_error) ? Total proper motion (pm) ? Proper motion in right ascension direction, pmRA*cosDE (pmra) ? Standard error of proper motion in right ascension direction (pmra_error) ? Proper motion in declination direction (pmdec) ? Standard error of proper motion in declination direction (pmdec_error) [-1/1] Correlation between right ascension and declination (ra_dec_corr) [-1/1]? Correlation between right ascension and parallax (ra_parallax_corr) [-1/1]? Correlation between right ascension and proper motion in right ascension (ra_pmra_corr) [-1/1]? Correlation between right ascension and proper motion in declination (ra_pmdec_corr) [-1/1]? Correlation between declination and parallax (dec_parallax_corr) [-1/1]? Correlation between declination and proper motion in right ascension (dec_pmra_corr) [-1/1]? Correlation between declination and proper motion in declination (dec_pmdec_corr) [-1/1]? Correlation between parallax and proper motion in right ascension (parallax_pmra_corr) [-1/1]? Correlation between parallax and proper motion in declination (parallax_pmdec_corr) [-1/1]? Correlation between proper motion in right ascension and proper motion in declination (pmra_pmdec_corr) ? Radial velocity (radial_velocity) ? Radial velocity error (radial_velocity_error) ? Spectral line broadening parameter (vbroad) ? Integrated Grvs magnitude (grvs_mag) [0/1] Flag indicating the availability of additional information in the QSO candidates table (in_qso_candidates) [0/1] Flag indicating the availability of additional information in the galaxy candidates table (in_galaxy_candidates) [0/7] Flag indicating the availability of additional information in the various Non-Single Star tables (non_single_star) [0/1] Flag indicating the availability of mean BP/RP spectrum in continuous representation for this source (has_xp_continuous) [0/1] Flag indicating the availability of mean BP/RP spectrum in sampled form for this source (has_xp_sampled) [0/1] Flag indicating the availability of mean RVS spectrum for this source (has_rvs) [0/1] Flag indicating the availability of epoch photometry for this source (has_epoch_photometry) [0/1] Flag indicating the availability of epoch radial velocity for this source (has_epoch_rv) [0/1] Flag indicating the availability of GSP-Phot MCMC samples for this source (has_mcmc_gspphot) [0/1] Flag indicating the availability of MSC MCMC samples for this source (has_mcmc_msc) [0/1] Flag indicating that the source is present in the Gaia Andromeda Photometric Survey (GAPS) (in_andromeda_survey) ? Effective temperature from GSP-Phot Aeneas best library using BP/RP spectra (teff_gspphot) ? Surface gravity from GSP-Phot Aeneas best library using BP/RP spectra (logg_gspphot) ? Iron abundance from GSP-Phot Aeneas best library using BP/RP spectra (mh_gspphot) ? Distance from GSP-Phot Aeneas best library using BP/RP spectra (distance_gspphot) ? Monochromatic extinction A_0 at 547.7nm from GSP-Phot Aeneas best library using BP/RP spectra (azero_gspphot) ? HIP cross-id number, van Leeuwen, Cat. I/311 (hip_original_ext_source_id) ? PS1 cross-id name, Chambers et al., Cat. II/349 (ps1_original_ext_source_id) ? SDSS name, Albareti et al., 2017ApJS..233...25A (sdss13_ext_source_id) ? SkyMapperDR2 cross-id name, Onken et al., 2019PASA...36...33O (skym2_original_ext_source_id) Tycho-2 cross-id name, Hog et al., Cat. I/259 (tyc2_original_ext_source_id) URAT1 name, Zacharias et al., Cat. I/329 (urat1_original_ext_source_id) ALLWISE cross-id name, Cutri et al., Cat. II/328 (allwise_original_ext_source_id) ? APASS9 identification, Henden et al., Cat. II/336 (apass9_original_ext_source_id) GSC2.3 cross-id name, Lasker et al., Cat. I/305 (gsc23_original_ext_source_id) RAVE DR5 cross-id name, Kunder et al., Cat. III/279 (rave5_original_ext_source_id) 2MASS cross-id name, Cutri et al., Cat. II/246 (twomass_original_ext_source_id) RAVE DR6 cross-id name, Steinmetz et al., Cat. III/283 (rave6_original_ext_source_id) Barycentric right ascension (ICRS) at Ep=2000.0 (added by CDS) (ra2000) Barycentric declination (ICRS) at Ep=2000.0 (added by CDS) (dec2000)
307.7911702004070 +20.4311044212247 Gaia DR3 1816065554621487360 307.79115807079 +20.43108005561 1816065554621487360 0.0511 0.0477 0.4319 0.0691 6.049 -2.557 0.064 -5.482 0.067 0.1212 0.1337 -0.4109 -0.0072 0.0069 -0.0085 -0.2983 -0.2603 -0.0251 0.2688 0 0 0 1 0 0 0 0 1 1 0 4696.2 4.1928 -0.7942 2428.5532 0.0380 132513077911637877 URAT1-553569515 N2PD017546 20310987+2025519 307.79117020041 20.43110442122
307.7958370989668 +20.4325479549513 Gaia DR3 1816065558924798592 307.79582391363 +20.43253083107 1816065558924798592 0.3203 0.2898 -0.5553 0.4195 4.751 -2.780 0.395 -3.853 0.426 0.3740 0.1981 -0.3253 -0.0486 0.0632 -0.0608 -0.1303 -0.2989 -0.0876 0.4716 0 0 0 0 0 0 0 0 0 0 0 132513077957999584 N2PD017483 307.79583709897 20.43254795495
307.7973736604703 +20.4355882715396 Gaia DR3 1816065558920966528 307.79737366047 +20.43558827154 1816065558920966528 6.0643 2.1063 0.7514 0 0 0 0 0 0 0 0 0 0 0 132523077973693273 307.79737366047 20.43558827154
307.7885745651585 +20.4301331822264 Gaia DR3 1816065558924801792 307.78856137441 +20.43011713943 1816065558924801792 0.1196 0.1127 0.0910 0.1671 4.557 -2.781 0.153 -3.610 0.165 0.1448 0.1580 -0.3400 0.0468 0.0149 0.0299 -0.2083 -0.2178 0.0615 0.3266 0 0 0 0 0 0 0 0 1 0 0 5071.5 4.6975 -0.7109 2923.6248 0.0090 132513077885716709 URAT1-553569502 N2PD017266 307.78857456516 20.43013318223
307.7897816527446 +20.4315208963567 Gaia DR3 1816065554622254464 307.78977228741 +20.43150439876 1816065554622254464 0.3688 0.3801 -0.6243 0.5059 4.205 -1.975 0.444 -3.712 0.498 0.2553 0.0889 -0.3890 -0.0365 -0.0773 -0.0307 -0.2998 -0.2452 0.0025 0.3249 0 0 0 0 0 0 0 0 0 0 0 132513077897708356 N2PD096440 307.78978165274 20.43152089636
matching records value="truncated result (maxtup=5)" astropy-pyvo-b70558c/pyvo/mivot/tests/data/test.mivot_viewer.first_instance.xml000066400000000000000000000021421510533647000302070ustar00rootroot00000000000000 Prototype for covariance errors hand-made mapping
SourceName
OtherSourceName
astropy-pyvo-b70558c/pyvo/mivot/tests/data/test.mivot_viewer.no_mivot.xml000066400000000000000000000272241510533647000270360ustar00rootroot00000000000000 URAT1 Catalog (Zacharias+ 2015) IVOID of underlying data collection URAT1 catalog Distance from center (052.2670800+59.9402700)[ICRS], at Epoch of catalog (Epoch) URAT1 recommended identifier (ZZZ-NNNNNN) (13) [datatype=char] Right ascension on ICRS, at "Epoch" (1) Declination on ICRS, at "Epoch" (1) Position error per coordinate, from scatter (2) Position error per coordinate, from model (2) (nst) Total number of sets the star is in (3) (nsu) Number of sets used for mean position (3) (epoc) Mean URAT observation epoch (1) ?(mmag) mean URAT model fit magnitude (4) ?(sigp) URAT photometry error (5) (nsm) Number of sets used for URAT magnitude (3) (ref) largest reference star flag (6) (nit) Total number of images (observations) (niu) Number of images used for mean position (ngt) Total number of 1st order grating observations (ngu) Number of 1st order grating positions used ?(pmr) Proper motion RA*cosDec (from 2MASS) (7) ?(pmd) Proper motion in Declination (7) ?(pme) Proper motion error per coordinate (8) [1/11] Match flag URAT with 2MASS (9) [1/11] Match flag URAT with APASS (9) [-] "-" if there is no match with GSC2.4 (14) ?(id2) unique 2MASS star identification number ?(jmag) 2MASS J-band magnitude ?(ejmag) Error on Jmag [0,58]? J-band quality-confusion flag (10) ?(hmag) 2MASS H-band magnitude ?(ehmag) Error on H-band magnitude (10) [0,58]? H-band quality-confusion flag (10) ?(kmag) 2MASS Ks-band magnitude ?(ekmag) Error on Ks-band magnitude (10) [0,58]? Ks-band quality-confusion flag (10) (ann) Number of APASS observation nights (12) (ano) Number of APASS observations (12) ?(abm) APASS B-band magnitude (11) ?(ebm) Error on Bmag ?(avm) APASS V-band magnitude ?(evm) Error on Vmag ?(agm) APASS g-band magnitude ?(egm) Error on gmag ?(arm) APASS r-band magnitude ?(erm) Error on rmag ?(aim) APASS i-band magnitude ?(eim) Error on imag
0.049402 750-146023 52.2340018 59.8937333 9 6 13 13 2013.418 15.340 0.013 13 9 74 74 0 0 1.5 -12.3 5.9 1 5 758808681 13.713 0.028 5 13.340 0.034 5 13.101 0.034 5 1 4 17.632 0.204 16.164 0.001 16.690 0.001 15.750 0.001
0.049402 750-146023 58.2340018 69.8937333 9 6 13 13 2013.418 15.340 0.013 13 9 74 74 0 0 1.5 -12.3 5.9 1 5 758808681 13.713 0.028 5 13.340 0.034 5 13.101 0.034 5 1 4 17.632 0.204 16.164 0.001 16.690 0.001 15.750 0.001
astropy-pyvo-b70558c/pyvo/mivot/tests/data/test.mivot_viewer.xml000066400000000000000000000431651510533647000252070ustar00rootroot00000000000000 Epoch photometry. This table contains light curve data points. Each entry is a photometric flux-time pair for a given object, band and time. It follows the (evolving) VO convention for time series as much as possible. At the time of writing, a VO recommendation has not yet been released. Source ID Photometric Band
5813181197970338560 G
5813181197970338560 BP
5813181197970338560 RP
Source Id. A unique single numerical identifier of the source obtained from GaiaSource. Transit unique identifier. For a given object, a transit comprises the different Gaia observations (SM, AF, BP, RP and RVS) obtained for each focal plane crossing. Photometric band. Values: G (per-transit combined SM-AF flux), BP (blue photometer integrated flux) and RP (red photometer integrated flux). Different times are defined for each band. For G, it is the field-of-view transit averaged observation time. For BP and RP, it is the observation time of the BP CCD transit. The units are Barycentric JD (in TCB) in days -2,455,197.5, computed as follows. First the observation time is converted from On-board Mission Time (OBMT) into Julian date in TCB (Temps Coordonnee Barycentrique). Next a correction is applied for the light-travel time to the Solar system barycentre, resulting in Barycentric Julian Date (BJD). Finally, an offset of 2,455,197.5 days is applied (corresponding to a reference time $T_0$ at 2010-01-01T00:00:00) to have a conveniently small numerical value. Although the centroiding time accuracy of the individual CCD observations is (much) below 1~ms (e.g. in BP and RP), the G band observation time is averaged over typically 9 CCD observations taken in a time range of about 44sec. Vega magnitude, computed from the flux applying the zero-point defined in ExtPhotZeroPoint. Band flux value for the transit. For G band, it is a combination of individual SM-AF CCD fluxes. For BP and RP bands, it is an integrated CCD flux. Flux error. If the flux has been rejected or is unavailable, this error will be set to null. Band flux divided by its error. If the flux has been rejected or is unavailable, this field will be set to null. Rejected by DPAC photometry processing. Rejected by DPAC variability processing (or variability analysis). All Gaia data processed by the Data Processing and Analysis Consortium comes tagged with a solution identifier. This is a numeric field attached to each table row that can be used to unequivocally identify the version of all the subsystems that where used in the generation of the data as well as the input data used. It is mainly for internal DPAC use but is included in the published data releases to enable end users to examine the provenance of processed data products. To decode a given solution ID visit https://gaia.esac.esa.int/decoder/solnDecoder.jsp
5813181197970338560 17091923342681275 G 1705.9437360200984 15.216574774452164 15442.456273273616 44.151258712309364 349.76254 F F 4097 369295551293819386
5813181197970338560 17096015648964756 G 1706.0177100217386 14.767336693604877 23356.70699319823 33.53035403015752 696.584 F F 4194817 369295551293819386
5813181197970338560 19103616164443503 G 1742.3215763366886 15.278342999137502 14588.447956240941 15.054069973748831 969.07 F F 1 369295551293819386
astropy-pyvo-b70558c/pyvo/mivot/tests/data/test.photcal_SDSS.xml000066400000000000000000000061131510533647000247460ustar00rootroot00000000000000 astropy-pyvo-b70558c/pyvo/mivot/tests/data/test.photcal_error.xml000066400000000000000000000004501510533647000253210ustar00rootroot00000000000000 PhotCalID not found: zaada astropy-pyvo-b70558c/pyvo/mivot/tests/test_annotation_seeker.py000066400000000000000000000125221510533647000251710ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ Test for mivot.seekers.annotation_seeker.py """ import pytest try: from defusedxml import ElementTree as etree except ImportError: from xml.etree import ElementTree as etree from astropy.utils.data import get_pkg_data_filename from pyvo.mivot.seekers.annotation_seeker import AnnotationSeeker from pyvo.mivot.utils.dict_utils import DictUtils from pyvo.mivot.version_checker import check_astropy_version from pyvo.mivot.viewer import MivotViewer from pyvo.mivot.tests import XMLOutputChecker @pytest.fixture def a_seeker(): m_viewer = MivotViewer( get_pkg_data_filename("data/test.mivot_viewer.xml"), tableref="Results" ) return AnnotationSeeker(m_viewer._mapping_block) @pytest.fixture def a_multiple_seeker(): m_viewer = MivotViewer( get_pkg_data_filename("data/test.instance_multiple.xml"), tableref="Results") return AnnotationSeeker(m_viewer._mapping_block) @pytest.mark.skipif(not check_astropy_version(), reason="need astropy 6+") def test_multiple_templates(): """ Try to create an AnnotationSeeker with a mapping_block containing multiple TEMPLATES. """ mapping_block = XMLOutputChecker.xmltree_from_file( get_pkg_data_filename("data/reference/multiple_templates.xml")) with pytest.raises(Exception, match="TEMPLATES without tableref must be unique"): AnnotationSeeker(mapping_block.getroot()) @pytest.mark.skipif(not check_astropy_version(), reason="need astropy 6+") def test_all_reverts(a_seeker): # Checks the GLOBALS block given by the AnnotationSeeker # by comparing it to the content of the file test.0.1.xml XMLOutputChecker.assertXmltreeEqualsFile(a_seeker.globals_block, get_pkg_data_filename("data/reference/annotation_seeker.0.1.xml")) # Checks the TEMPLATES block given by the AnnotationSeeker # by comparing it to the content of the file test.0.2.xml XMLOutputChecker.assertXmltreeEqualsFile(a_seeker.get_templates_block("Results"), get_pkg_data_filename("data/reference/annotation_seeker.0.2.xml")) # Checks the list of all the tableref found by the AnnotationSeeker assert list(a_seeker.get_templates_tableref()) == ['_PKTable', 'Results'] # a_seeker should have only 2 COLLECTIONS in GLOBALS: _CoordinateSystems and _Datasets assert len(a_seeker.get_globals_collections()) == 2 # a_seeker should have only 1 INSTANCES in GLOBALS: _tg1 assert len(a_seeker.get_globals_instances()) == 1 assert a_seeker.get_globals_instance_dmtypes() == ['ds:experiment.Target'] assert (a_seeker.get_globals_instance_dmids() == ['_timesys', '_spacesys1', '_photsys_G', '_photsys_RP', '_photsys_BP', '_ds1', '_tg1']) assert a_seeker.get_globals_collection_dmids() == ['_CoordinateSystems', '_Datasets'] selection = a_seeker.get_instance_by_dmtype("coords") assert len(selection["GLOBALS"]) == 5 for ele in selection["GLOBALS"]: assert ele.get("dmtype").startswith("coords") assert len(selection["TEMPLATES"]["_PKTable"]) == 0 assert len(selection["TEMPLATES"]["Results"]) == 3 for _, table_sel in selection["TEMPLATES"].items(): for ele in table_sel: assert ele.get("dmtype").startswith("coords") with pytest.raises(Exception, match="INSTANCE with PRIMARY_KEY = wrong_key_value " "in COLLECTION dmid wrong_key_value not found"): a_seeker.get_collection_item_by_primarykey("_Datasets", "wrong_key_value") pksel = a_seeker.get_collection_item_by_primarykey("_Datasets", "5813181197970338560") XMLOutputChecker.assertXmltreeEqualsFile(pksel, get_pkg_data_filename("data/reference/annotation_seeker.0.4.xml")) with (pytest.raises(Exception, match="More than one INSTANCE with " "PRIMARY_KEY = G found in COLLECTION dmid G")): double_key = etree.fromstring("""""") a_seeker.get_collection_item_by_primarykey("_CoordinateSystems", "G" ).append(double_key) a_seeker.get_collection_item_by_primarykey("_CoordinateSystems", "G") with pytest.raises(Exception, match="INSTANCE with PRIMARY_KEY = wrong_key " "in COLLECTION dmid wrong_key not found"): a_seeker.get_collection_item_by_primarykey("_CoordinateSystems", "wrong_key") assert a_seeker.get_instance_dmtypes() == DictUtils.read_dict_from_file( get_pkg_data_filename("data/reference/instance_dmtypes.json")) assert a_seeker.get_templates_instance_by_dmid("Results", "wrong_dmid") is None assert a_seeker.get_templates_instance_by_dmid("Results", "_ts_data").get("dmtype") == "cube:NDPoint" assert a_seeker.get_globals_instance_from_collection( "_CoordinateSystems", "ICRS").get("dmtype") == "coords:SpaceSys" assert a_seeker.get_globals_instance_from_collection("wrong_dmid", "ICRS") is None @pytest.mark.skipif(not check_astropy_version(), reason="need astropy 6+") def test_multiple_seeker(a_multiple_seeker): assert (a_multiple_seeker.get_instance_dmtypes()["TEMPLATES"] == {"Results": ["mango:Brightness", "mango:Brightness", "mango:Brightness"]}) astropy-pyvo-b70558c/pyvo/mivot/tests/test_header_mapper.py000066400000000000000000000066231510533647000242620ustar00rootroot00000000000000""" This module contains test cases for validating the generation of mapping dictionaries that allow to extract Mivot instances from INFO located in the VOTable header """ import pytest from astropy.io.votable import parse from astropy.utils.data import get_pkg_data_filename from pyvo.utils import activate_features from pyvo.mivot.version_checker import check_astropy_version from pyvo.mivot.writer.header_mapper import HeaderMapper # Enable MIVOT-specific features in the pyvo library activate_features("MIVOT") data_origin_mapping = { "service_protocol": "ivo://ivoa.net/std/ConeSearch/v1.03", "request_date": "2025-04-07T12:06:32", "request": ("https://cdsarc.cds.unistra.fr/beta/viz-bin/mivotconesearch" "/I/329/urat1?RA=52.26708&DEC=59.94027&SR=0.05"), "contact": "cds-question@unistra.fr", "server_software": "7.4.6", "publisher": "CDS", "dataOrigin": [{ "ivoid": "ivo://cds.vizier/i/329", "creators": ["Zacharias N."], "cites": "bibcode:2015AJ....150..101Z", "original_date": "2015", "reference_url": "https://cdsarc.cds.unistra.fr/viz-bin/cat/I/329", "rights_uri": "https://cds.unistra.fr/vizier-org/licences_vizier.html", "articles": [{ "editor": "Astronomical Journal (AAS)" }] }] } coosys_mappings = [{"spaceRefFrame": "ICRS", "epoch": "2345"}] timesys_mappings = [{"timescale": "TCB"}] @pytest.mark.skipif(not check_astropy_version(), reason="need astropy 6+") def test_all(): """ checks that the mapping dictionaries extracte from the VOTable match the expected ones """ votable = parse(get_pkg_data_filename("data/test.header_extraction.xml")) builder = HeaderMapper(votable) assert builder.extract_origin_mapping() == data_origin_mapping assert builder.extract_coosys_mapping() == coosys_mappings assert builder.extract_timesys_mapping() == timesys_mappings @pytest.mark.skipif(not check_astropy_version(), reason="need astropy 6+") def test_field_extraction(): """ checks that the epochPosition mapping dictionaries extracted from the VOTable columns match the expected ones """ votable = parse(get_pkg_data_filename("data/test.header_extraction.1.xml")) builder = HeaderMapper(votable) mapping, error_mapping = builder.extract_epochposition_mapping() assert mapping == {"longitude": "RA_ICRS", "latitude": "DE_ICRS", "parallax": "Plx", "pmLongitude": "pmRA", "pmLatitude": "pmDE", "radialVelocity": "RV"} assert error_mapping == {"position": {"class": "PErrorSym2D", "sigma1": "e_RA_ICRS", "sigma2": "e_DE_ICRS"}, "parallax": {"class": "PErrorSym1D", "sigma": "e_Plx"}, "properMotion": {"class": "PErrorSym2D", "sigma1": "e_pmRA", "sigma2": "e_pmDE"}, "radialVelocity": {"class": "PErrorSym1D", "sigma": "e_RV"}} votable = parse(get_pkg_data_filename("data/test.header_extraction.2.xml")) builder = HeaderMapper(votable) mapping, error_mapping = builder.extract_epochposition_mapping() assert mapping == {"obsDate": {"dateTime": "ObsDate", "representation": "iso"}, "longitude": "RAB1950", "latitude": "DEB1950" } astropy-pyvo-b70558c/pyvo/mivot/tests/test_mango_annoter.py000066400000000000000000000204461510533647000243140ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ This module contains test cases for validating the functionality of MivotInstance, MivotAnnotations, and related components in the pyvo.mivot package. These tests ensure that the classes behave as expected, including error handling and XML generation for data models. """ import os import pytest from unittest.mock import patch from astropy.io.votable import parse from astropy.utils.data import get_pkg_data_contents, get_pkg_data_filename from pyvo.utils import activate_features from pyvo.mivot.version_checker import check_astropy_version from pyvo.mivot.utils.xml_utils import XmlUtils from pyvo.mivot.writer.instances_from_models import InstancesFromModels # Enable MIVOT-specific features in the pyvo library activate_features("MIVOT") # File paths for test data votable_path = os.path.realpath( os.path.join(__file__, "..", "data", "test.mivot_viewer.no_mivot.xml") ) data_path = os.path.realpath( os.path.join(os.path.dirname(os.path.realpath(__file__)), "data") ) @pytest.fixture() def mocked_fps_grvs(mocker): def callback(request, context): return bytes(get_pkg_data_contents('data/filter_gaia_grvs.xml'), "utf8") with mocker.register_uri( 'GET', 'http://svo2.cab.inta-csic.es/svo/theory/fps/fpsmivot.php?PhotCalID=GAIA/GAIA3.Grvs/AB', content=callback ) as matcher: yield matcher @pytest.fixture() def mocked_fps_grp(mocker): def callback(request, context): return bytes(get_pkg_data_contents('data/filter_gaia_grp.xml'), "utf8") with mocker.register_uri( 'GET', 'http://svo2.cab.inta-csic.es/svo/theory/fps/fpsmivot.php?PhotCalID=GAIA/GAIA3.Grp/AB', content=callback ) as matcher: yield matcher @pytest.fixture def mocked_fps(): with patch('requests.get') as mock_get: yield mock_get @pytest.mark.filterwarnings("ignore:root:::") def add_color(builder): filter_ids = {"high": "GAIA/GAIA3.Grp/AB", "low": "GAIA/GAIA3.Grvs/AB"} mapping = {"value": 8.76, "definition": "ColorIndex", "error": {"class": "PErrorAsym1D", "low": 1, "high": 3} } semantics = {"description": "very nice color", "uri": "vocabulary#term", "label": "term"} builder.add_mango_color(filter_ids=filter_ids, mapping=mapping, semantics=semantics) @pytest.mark.filterwarnings("ignore:root:::") def add_photometry(builder): photcal_id = "GAIA/GAIA3.Grvs/AB" mapping = {"value": "GRVSmag", "error": {"class": "PErrorAsym1D", "low": 1, "high": 3} } semantics = {"description": "Grvs magnitude", "uri": "https://www.ivoa.net/rdf/uat/2024-06-25/uat.html#magnitude", "label": "magnitude"} builder.add_mango_brightness(photcal_id=photcal_id, mapping=mapping, semantics=semantics) def add_epoch_positon(builder): frames = {"spaceSys": {"spaceRefFrame": "ICRS", "refPosition": 'BARYCENTER', "equinox": None}, "timeSys": {"timescale": "TCB", "refPosition": 'BARYCENTER'}} mapping = {"longitude": "_RAJ2000", "latitude": "_DEJ2000", "pmLongitude": "pmRA", "pmLatitude": "pmDE", "parallax": "Plx", "radialVelocity": "RV", "obsDate": {"representation": "mjd", "dateTime": 579887.6}, "correlations": {"isCovariance": True, "longitudeLatitude": "RADEcor", "latitudePmLongitude": "DEpmRAcor", "latitudePmLatitude": "DEpmDEcor", "longitudePmLongitude": "RApmRAcor", "longitudePmLatitude": "RApmDEcor", "longitudeParallax": "RAPlxcor", "latitudeParallax": "DEPlxcor", "pmLongitudeParallax": "PlxpmRAcor", "pmLatitudeParallax": "PlxpmDEcor", }, "errors": {"position": {"class": "PErrorSym2D", "sigma1": "e_RA_ICRS", "sigma2": "e_DE_ICRS"}, "properMotion": {"class": "PErrorSym2D", "sigma1": "e_pmRA", "sigma2": "e_pmDE"}, "parallax": {"class": "PErrorSym1D", "sigma": "e_Plx"}, "radialVelocity": {"class": "PErrorSym1D", "sigma": "e_RV"} } } semantics = {"description": "6 parameters position", "uri": "https://www.ivoa.net/rdf/uat/2024-06-25/uat.html#astronomical-location", "label": "Astronomical location"} builder.add_mango_epoch_position(frames=frames, mapping=mapping, semantics=semantics) @pytest.mark.usefixtures("mocked_fps_grvs", "mocked_fps_grp") @pytest.mark.skipif(not check_astropy_version(), reason="need astropy 6+") def test_all_properties(): votable_filename = get_pkg_data_filename("data/test.mango_annoter.xml") votable = parse(votable_filename) builder = InstancesFromModels(votable, dmid="DR3Name") # pylint: disable=E501 builder.add_query_origin( {"service_protocol": "ASU", "request_date": "2024-03-21T15:16:08", "request": ("https://vizier.cds.unistra.fr/viz-bin/votable?-oc.form=dec&-out.max=5&" "-out.add=_r&-out.add=_RAJ,_DEJ&-sort=_r&-c.eq=J2000&-c.r= 2&" "-c.u=arcmin&-c.geom=r&-source=I/355/gaiadr3&-order=I&" "-out.orig=standard&-out=DR3Name&-out=RA_ICRS&-out=DE_ICRS&" "-out=Source&-out=e_RA_ICRS&-out=e_DE_ICRS&-out=Plx&" "-out=e_Plx&-out=PM&-out=pmRA&-out=e_pmRA&-out=pmDE&" "-out=e_pmDE&-out=RADEcor&-out=RAPlxcor&-out=RApmRAcor&" "-out=RApmDEcor&-out=DEPlxcor&-out=DEpmRAcor&-out=DEpmDEcor&" "-out=PlxpmRAcor&-out=PlxpmDEcor&-out=pmRApmDEcor&-out=RV&" "-out=e_RV&-out=Vbroad&-out=GRVSmag&-out=QSO&-out=Gal&-out=NSS&" "-out=XPcont&-out=XPsamp&-out=RVS&-out=EpochPh&-out=EpochRV&" "-out=MCMCGSP&-out=MCMCMSC&-out=And&-out=Teff&-out=logg&" "-out=[Fe/H]&-out=Dist&-out=A0&-out=HIP&-out=PS1&-out=SDSS13&" "-out=SKYM2&-out=TYC2&-out=URAT1&-out=AllWISE&-out=APASS9&" "-out=GSC23&-out=RAVE5&-out=2MASS&-out=RAVE6&-out=RAJ2000&" "-out=DEJ2000&"), "contact": "cds-question@unistra.fr", "server_software": "7.33.3", "publisher": "CDS", "dataOrigin": [{"ivoid": "ivo://cds.vizier/i/355", "creators": ["Gaia collaboration"], "cites": "bibcode:2022yCat.1355....0G, ""doi:10.26093/cds/vizier.1355", "original_date": "2022", "reference_url": "https://cdsarc.cds.unistra.fr/viz-bin/cat/I/355", "rights_uri": "https://cds.unistra.fr/vizier-org/licences_vizier.html", "articles": [{"identifier": "doi:10.1051/0004-6361/202039657e]", "editor": "A&A"}] }] }) add_color(builder) add_photometry(builder) add_epoch_positon(builder) builder.pack_into_votable(schema_check=False) assert XmlUtils.strip_xml(builder._annotation.mivot_block) == ( XmlUtils.strip_xml(get_pkg_data_contents("data/reference/mango_object.xml")) ) @pytest.mark.skipif(not check_astropy_version(), reason="need astropy 6+") def test_extraction_from_votable_header(): """ test that the automatic mapping extraction is well connected with the annoter """ votable_filename = get_pkg_data_filename("data/test.header_extraction.1.xml") votable = parse(votable_filename) builder = InstancesFromModels(votable, dmid="URAT1") builder.extract_frames() builder.extract_data_origin() epoch_position_mapping = builder.extract_epoch_position_parameters() builder.add_mango_epoch_position(**epoch_position_mapping) builder.pack_into_votable(schema_check=True) assert XmlUtils.strip_xml(builder._annotation.mivot_block) == ( XmlUtils.strip_xml(get_pkg_data_contents("data/reference/test_header_extraction.xml")) ) astropy-pyvo-b70558c/pyvo/mivot/tests/test_mivot_instance.py000066400000000000000000000111371510533647000245040ustar00rootroot00000000000000''' Test the class generation from a dict.x Created on 19 févr. 2024 @author: michel ''' import pytest from astropy.table import Table from pyvo.mivot.viewer.mivot_instance import MivotInstance fake_hk_dict = { "dmtype": "EpochPosition", "longitude": { "dmtype": "RealQuantity", "value": 52.2340018, "unit": "deg", "ref": "RAICRS" }, "latitude": { "dmtype": "RealQuantity", "value": 59.8937333, "unit": "deg", "ref": "DEICRS" } } fake_dict = { "dmtype": "EpochPosition", "longitude": { "dmtype": "RealQuantity", "value": 52.2340018, "unit": "deg", }, "latitude": { "dmtype": "RealQuantity", "value": 59.8937333, "unit": "deg", } } test_dict = { "tableref": "Results", "root_object": { "dmid": "_ts_data", "dmrole": "", "dmtype": "cube:NDPoint", "observable": [ { "dmtype": "cube:Observable", "dependent": {"dmtype": "ivoa:boolean", "value": True}, "measure": { "dmrole": "cube:MeasurementAxis.measure", "dmtype": "meas:Time", "coord": { "dmrole": "meas:Time.coord", "dmtype": "coords:MJD", "date": {"dmtype": "ivoa:real", "value": 1705.9437360200984}, }, }, }, { "dmtype": "cube:Observable", "dependent": {"dmtype": "ivoa:boolean", "value": True}, "measure": { "dmrole": "cube:MeasurementAxis.measure", "dmtype": "meas:GenericMeasure", "coord": { "dmrole": "meas:GenericMeasure.coord", "dmtype": "coords:PhysicalCoordinate", "cval": {"dmtype": "ivoa:RealQuantity", "value": 15.216575}, }, }, }, { "dmtype": "cube:Observable", "dependent": {"dmtype": "ivoa:boolean", "value": True}, "measure": { "dmrole": "cube:MeasurementAxis.measure", "dmtype": "meas:GenericMeasure", "coord": { "dmrole": "meas:GenericMeasure.coord", "dmtype": "coords:PhysicalCoordinate", "cval": {"dmtype": "ivoa:RealQuantity", "value": 15442.456}, }, "error": { "dmrole": "meas:Measure.error", "dmtype": "meas:Error", "statError": { "dmrole": "meas:Error.statError", "dmtype": "meas:Symmetrical", "radius": {"dmtype": "ivoa:RealQuantity", "value": 44.15126}, }, }, }, }, ], }, } def test_mivot_instance_constructor(): """Test the class generation from a dict.""" mivot_object = MivotInstance(**fake_hk_dict) assert mivot_object.longitude.value == 52.2340018 assert mivot_object.longitude.unit == "deg" assert mivot_object.latitude.value == 59.8937333 assert mivot_object.latitude.unit == "deg" assert mivot_object.longitude.dmtype == "RealQuantity" assert mivot_object.dmtype == "EpochPosition" def test_mivot_instance_update(): """Test the class generation from a dict followed by an update""" mivot_object = MivotInstance(**fake_hk_dict) t = Table() t["RAICRS"] = [67.87] t["DEICRS"] = [-89.87] mivot_object.update(t[0]) assert mivot_object.longitude.value == 67.87 assert mivot_object.latitude.value == -89.87 def test_mivot_instance_update_wrong_columns(): """Test the class generation from a dict followed by an update with wrong columns.""" mivot_object = MivotInstance(**fake_hk_dict) t = Table() t["RAICRSXX"] = [67.87] t["DEICRS"] = [-89.87] with pytest.raises(KeyError, match="RAICRS"): mivot_object.update(t[0]) def test_mivot_instance_display_dict(): """Test the class generation from a dict and rebuild the dict from the instance.""" mivot_object = MivotInstance(**fake_hk_dict) assert mivot_object.to_hk_dict() == fake_hk_dict assert mivot_object.to_dict() == fake_dict astropy-pyvo-b70558c/pyvo/mivot/tests/test_mivot_viewer.py000066400000000000000000000272571510533647000242130ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ Test for mivot.viewer.mivot_viewer.py """ import os import pytest import re from astropy.utils.data import get_pkg_data_filename from pyvo.mivot.utils.vocabulary import Constant from pyvo.mivot.utils.dict_utils import DictUtils from pyvo.mivot.utils.exceptions import MappingError from pyvo.mivot.version_checker import check_astropy_version from pyvo.mivot.viewer import MivotViewer from astropy import version as astropy_version dm_raw_instances = [ { "dmrole": "", "dmtype": "mango:Brightness", "value": { "dmtype": "ivoa:RealQuantity", "value": None, "unit": None, "ref": "SC_EP_1_FLUX", }, }, { "dmrole": "", "dmtype": "mango:Brightness", "value": { "dmtype": "ivoa:RealQuantity", "value": None, "unit": None, "ref": "SC_EP_2_FLUX", }, }, { "dmrole": "", "dmtype": "mango:Brightness", "value": { "dmtype": "ivoa:RealQuantity", "value": None, "unit": None, "ref": "SC_EP_3_FLUX", }, }, ] globals_photcal = { "dmid": "CoordSystem_XMM_EB1_id", "dmtype": "Phot:PhotCal", "identifier": { "dmtype": "ivoa:string", "value": "XMM/EPIC/EB1", "unit": None, "ref": None, }, "magnitudeSystem": { "dmrole": "Phot:PhotCal.magnitudeSystem", "dmtype": "Phot:MagnitudeSystem", "type": { "dmtype": "Phot:TypeOfMagSystem", "value": "XMM", "unit": None, "ref": None, }, "referenceSpectrum": { "dmtype": "ivoa:anyURI", "value": "https://xmm-tools.cosmos.esa.int/external" "/xmm_user_support/documentation/sas_usg/USG/SASUSG.html", "unit": None, "ref": None, }, }, "photometryFilter": { "dmid": "CoordSystem_XMM_FILTER_EB1_id", "dmtype": "Phot:PhotometryFilter", "dmrole": "Phot:PhotCal.photometryFilter", "identifier": { "dmtype": "ivoa:string", "value": "XMM/EPIC/EB1", "unit": None, "ref": None, }, "name": { "dmtype": "ivoa:string", "value": "XMM EPIC EB1", "unit": None, "ref": None, }, "description": { "dmtype": "ivoa:string", "value": "Soft", "unit": None, "ref": None, }, "bandName": { "dmtype": "ivoa:string", "value": "EB1", "unit": None, "ref": None, }, "spectralLocation": { "dmrole": "Phot:PhotometryFilter.spectralLocation", "dmtype": "Phot:SpectralLocation", "ucd": { "dmtype": "Phot:UCD", "value": "em.wl.effective", "unit": None, "ref": None, }, "unitexpression": { "dmtype": "ivoa:Unit", "value": "keV", "unit": None, "ref": None, }, "value": {"dmtype": "ivoa:real", "value": 0.35, "unit": None, "ref": None}, }, "bandwidth": { "dmrole": "Phot:PhotometryFilter.bandwidth", "dmtype": "Phot:Bandwidth", "ucd": { "dmtype": "Phot:UCD", "value": "instr.bandwidth;stat.fwhm", "unit": None, "ref": None, }, "unitexpression": { "dmtype": "ivoa:Unit", "value": "keV", "unit": None, "ref": None, }, "extent": {"dmtype": "ivoa:real", "value": 0.3, "unit": None, "ref": None}, "start": {"dmtype": "ivoa:real", "value": 0.2, "unit": None, "ref": None}, "stop": {"dmtype": "ivoa:real", "value": 0.5, "unit": None, "ref": None}, }, "transmissionCurve": { "dmrole": "Phot:PhotometryFilter.transmissionCurve", "dmtype": "Phot:TransmissionCurve", "access": { "dmrole": "Phot:TransmissionCurve.access", "dmtype": "Phot:Access", "reference": { "dmtype": "ivoa:anyURI", "value": "https://xmm-tools.cosmos.esa.int/external/xmm_user_support" "/documentation/sas_usg/USG/SASUSG.html", "unit": None, "ref": None, }, "format": { "dmtype": "ivoa:string", "value": "text/html", "unit": None, "ref": None, }, }, }, }, } @pytest.mark.skipif(not check_astropy_version(), reason="need astropy 6+") def test_get_first_instance_dmtype(path_to_first_instance): """ Test the function get_first_instance_dmtype() which is used to find the first INSTANCE/COLLECTION in TEMPLATES. """ m_viewer = MivotViewer(votable_path=path_to_first_instance) assert m_viewer.get_dm_instance_dmtypes("one_instance")[0] == "one_instance" assert m_viewer.get_dm_instance_dmtypes("some_instances")[0] == "first" with pytest.raises(Exception, match="Can't find INSTANCE in TEMPLATES"): m_viewer.get_dm_instance_dmtypes("empty") with pytest.raises(Exception, match="No TEMPLATES with tableref=not_existing_tableref"): m_viewer.get_dm_instance_dmtypes("not_existing_tableref") @pytest.mark.skipif(not check_astropy_version(), reason="need astropy 6+") def test_table_ref(m_viewer): """ Test if the mivot_viewer can find each table_ref and connect to the right table_ref. Test if the mivot_viewer can find each models. """ assert m_viewer._mapped_tables == ['_PKTable', 'Results'] with pytest.raises(Exception, match=re.escape(r"The table first_table doesn't match with any mapped_table " r"(['_PKTable', 'Results']) encountered in TEMPLATES")): m_viewer._connect_table("wrong_tableref") assert m_viewer.connected_table_ref == Constant.FIRST_TABLE assert (m_viewer.get_models() == {'mango': 'file:/Users/sao/Documents/IVOA/GitHub/ivoa-dm-examples/tmp/Mango-v1.0.vo-dml.xml', 'cube': 'https://volute.g-vo.org/svn/trunk/projects/dm/Cube/vo-dml/Cube-1.0.vo-dml.xml', 'ds': 'https://volute.g-vo.org/svn/trunk/projects/dm/' 'DatasetMetadata/vo-dml/DatasetMetadata-1.0.vo-dml.xml', 'meas': 'https://www.ivoa.net/xml/Meas/20200908/Meas-v1.0.vo-dml.xml', 'coords': 'https://www.ivoa.net/xml/STC/20200908/Coords-v1.0.vo-dml.xml', 'ivoa': 'https://www.ivoa.net/xml/VODML/IVOA-v1.vo-dml.xml'}) @pytest.mark.skipif(not check_astropy_version(), reason="need astropy 6+") def test_global_getters(m_viewer): """ Test each getter for TEMPLATES of the model_viewer. """ assert m_viewer.get_table_ids() == ['_PKTable', 'Results'] assert m_viewer.get_models() == DictUtils.read_dict_from_file( get_pkg_data_filename("data/reference/globals_models.json")) m_viewer._connect_table('_PKTable') row = m_viewer.next_table_row() assert row[0] == '5813181197970338560' assert row[1] == 'G' row = m_viewer.next_table_row() assert row[0] == '5813181197970338560' assert row[1] == 'BP' m_viewer.rewind() row = m_viewer.next_table_row() assert row[0] == '5813181197970338560' assert row[1] == 'G' @pytest.mark.skipif(not check_astropy_version(), reason="need astropy 6+") def test_no_mivot(path_no_mivot): """ Test the viewer behavior when there is no mapping """ m_viewer = MivotViewer(path_no_mivot) assert m_viewer.get_table_ids() is None assert m_viewer.get_models() is None with pytest.raises(MappingError): m_viewer._connect_table('_PKTable') with pytest.raises(MappingError): m_viewer._connect_table() assert m_viewer.next_table_row() is None @pytest.mark.skipif(not check_astropy_version(), reason="need astropy 6+") def test_instance_mutiple_in_templates(path_to_multiple_instance): """ Test case with a TEMPLATES containing multiple instances """ m_viewer = MivotViewer(votable_path=path_to_multiple_instance) instance_dict = [] # test the DM instances children of TEMPLATES before their values are set for dmi in m_viewer.dm_instances: instance_dict.append(dmi.to_hk_dict()) assert instance_dict == dm_raw_instances # test the DM instances children of TEMPLATES set with the values of the first row m_viewer.next_row_view() row_values = [] for dmi in m_viewer.dm_instances: row_values.append(dmi.value.value) assert row_values == pytest.approx([0.0, 0.1, 0.2], rel=1e-3) # test the DM instances children of TEMPLATES set with the values of the second row m_viewer.next_row_view() row_values = [] for dmi in m_viewer.dm_instances: row_values.append(dmi.value.value) assert row_values == pytest.approx([1.0, 2.1, 3.2], rel=1e-3) @pytest.mark.skipif(not check_astropy_version(), reason="need astropy 6+") def test_globals_instances(path_to_multiple_instance): """ Test case for the GLOBALS instance access as MivotInstances """ m_viewer = MivotViewer(votable_path=path_to_multiple_instance) instance_dict = [] photcals = 0 photfilters = 0 # test the DM instances children of TEMPLATES before their values are set for dmi in m_viewer.dm_globals_instances: if dmi.dmtype == "Phot:PhotCal": photcals += 1 elif dmi.dmtype == "Phot:PhotometryFilter": photfilters += 1 else: assert False, f"Unexpected dmtype {dmi.dmtype} in GLOBALS " instance_dict.append(dmi.to_hk_dict()) assert photcals == 3 assert photfilters == 3 # just check the first one assert instance_dict[0] == globals_photcal def test_check_version(path_to_viewer): if not check_astropy_version(): with pytest.raises(Exception, match=f"Astropy version {astropy_version.version} " f"is below the required version 6.0 for the use of MIVOT."): MivotViewer(votable_path=path_to_viewer) if astropy_version.version is None: assert not check_astropy_version() elif astropy_version.version < '6.0': assert not check_astropy_version() else: assert check_astropy_version() is True @pytest.fixture def m_viewer(): if not check_astropy_version(): pytest.skip("MIVOT test skipped because of the astropy version.") votable_name = "test.mivot_viewer.xml" votable_path = get_pkg_data_filename(os.path.join("data", votable_name)) return MivotViewer(votable_path=votable_path) @pytest.fixture def path_to_viewer(): if not check_astropy_version(): pytest.skip("MIVOT test skipped because of the astropy version.") votable_name = "test.mivot_viewer.xml" return get_pkg_data_filename(os.path.join("data", votable_name)) @pytest.fixture def path_to_multiple_instance(): votable_name = "test.instance_multiple.xml" return get_pkg_data_filename(os.path.join("data", votable_name)) @pytest.fixture def path_to_first_instance(): votable_name = "test.mivot_viewer.first_instance.xml" return get_pkg_data_filename(os.path.join("data", votable_name)) @pytest.fixture def path_no_mivot(): votable_name = "test.mivot_viewer.no_mivot.xml" return get_pkg_data_filename(os.path.join("data", votable_name)) astropy-pyvo-b70558c/pyvo/mivot/tests/test_mivot_writer.py000066400000000000000000000056621510533647000242220ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ This module contains test cases for validating the functionality of MivotInstance, MivotAnnotations, and related components in the pyvo.mivot package. These tests ensure that the classes behave as expected, including error handling and XML generation for data models. """ import os import pytest from pyvo.utils import activate_features from pyvo.mivot.version_checker import check_astropy_version from pyvo.mivot.utils.exceptions import MappingError from pyvo.mivot.utils.xml_utils import XmlUtils from pyvo.mivot.writer.annotations import MivotAnnotations from pyvo.mivot.writer.instance import MivotInstance # Enable MIVOT-specific features in the pyvo library activate_features("MIVOT") # File paths for test data votable_path = os.path.realpath( os.path.join(__file__, "..", "data", "test.mivot_viewer.no_mivot.xml") ) data_path = os.path.realpath( os.path.join(os.path.dirname(os.path.realpath(__file__)), "data") ) @pytest.mark.skipif(not check_astropy_version(), reason="need astropy 6+") def test_MivotInstance(): """ Test the MivotInstance class for various operations including attribute addition, reference addition, and XML generation. Verifies that invalid operations raise the expected MappingError. """ with pytest.raises(MappingError): MivotInstance("") instance1 = MivotInstance("model:type.inst", dmid="id1") with pytest.raises(MappingError): instance1.add_attribute( dmrole="model:type.inst.role1", value="value1", unit="m/s" ) with pytest.raises(MappingError): instance1.add_attribute( dmtype="model:type.att1", dmrole="model:type.inst.role1" ) with pytest.raises(MappingError): instance1.add_reference(dmref="dmreference") with pytest.raises(MappingError): instance1.add_reference(dmrole="model:type.inst.role2") with pytest.raises(MappingError): instance1.add_instance("azerty") instance1.add_reference(dmrole="model:type.inst.role2", dmref="dmreference") instance1.add_attribute( dmtype="model:type.att1", dmrole="model:type.inst.role1", value="*value1", unit="m/s", ) assert XmlUtils.strip_xml(instance1.xml_string()) == ( "" + "" + "" + "" ) @pytest.mark.skipif(not check_astropy_version(), reason="need astropy 6+") def test_MivotAnnotations(): """ Test the MivotAnnotations class for template and global instance addition. Verifies that invalid operations raise the expected MappingError. """ mb = MivotAnnotations() with pytest.raises(MappingError): mb.add_templates(12) with pytest.raises(MappingError): mb.add_globals(12) astropy-pyvo-b70558c/pyvo/mivot/tests/test_resource_seeker.py000066400000000000000000000051511510533647000246460ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ Test for mivot.seekers.resource_seeker.py """ import pytest from astropy.io.votable import parse from astropy.utils.data import get_pkg_data_filename from pyvo.mivot.seekers.resource_seeker import ResourceSeeker from pyvo.mivot.version_checker import check_astropy_version @pytest.mark.skipif(not check_astropy_version(), reason="need astropy 6+") def test_id_table(rseeker): """ Checks the IDs of tables found by the RessourceSeeker, checks the IDs of the field of the table concerned. """ assert rseeker.get_table_ids() == ['_PKTable', 'Results'] assert (rseeker.get_id_index_mapping('_PKTable') == {'pksrcid': {'ID': '_pksrcid', 'indx': 0}, 'pkband': {'ID': '_pkband', 'indx': 1} } ) assert (rseeker.get_id_index_mapping('Results') == {'source_id': {'ID': '_srcid', 'indx': 0}, 'transit_id': {'ID': 'transit_id', 'indx': 1}, 'band': {'ID': '_band', 'indx': 2}, 'time': {'ID': '_obstime', 'indx': 3}, 'mag': {'ID': '_mag', 'indx': 4}, 'flux': {'ID': '_flux', 'indx': 5}, 'flux_error': {'ID': '_fluxerr', 'indx': 6}, 'flux_over_error': {'ID': 'flux_over_error', 'indx': 7}, 'rejected_by_photometry': {'ID': 'rejected_by_photometry', 'indx': 8}, 'rejected_by_variability': {'ID': 'rejected_by_variability', 'indx': 9}, 'other_flags': {'ID': 'other_flags', 'indx': 10}, 'solution_id': {'ID': 'solution_id', 'indx': 11} } ) table = rseeker.get_table('_PKTable') for field in table.fields: field.ID = None assert (rseeker.get_id_index_mapping('_PKTable') == {'pksrcid': {'indx': 0, 'ID': 'pksrcid'}, 'pkband': {'indx': 1, 'ID': 'pkband'} } ) for table in rseeker._resource.tables: table.ID = None assert rseeker.get_table_ids() == ['AnonymousTable', 'AnonymousTable'] for table in rseeker._resource.tables: table.name = "any_name" assert rseeker.get_table_ids() == ['any_name', 'any_name'] assert (rseeker.get_id_index_mapping('any_name') == {'pksrcid': {'indx': 0, 'ID': 'pksrcid'}, 'pkband': {'indx': 1, 'ID': 'pkband'}} ) @pytest.fixture def rseeker(): votable_path = get_pkg_data_filename("data/test.mivot_viewer.xml") votable = parse(votable_path) for resource in votable.resources: return ResourceSeeker(resource) astropy-pyvo-b70558c/pyvo/mivot/tests/test_sky_coord_builder.py000066400000000000000000000232451510533647000251670ustar00rootroot00000000000000''' The first service in operation that annotates query responses in the fly is Vizier https://cds/viz-bin/mivotconesearch/VizierParams Data are mapped on the mango:EpochPropagtion class as it is implemented in the current code. This test case is based on 2 VOTables: Both tests check the generation of SkyCoord instances from the MivotInstances built for the output of this service. ''' import pytest from copy import deepcopy from astropy.utils.data import get_pkg_data_filename from astropy import units as u from pyvo.mivot.version_checker import check_astropy_version from pyvo.mivot.viewer.mivot_instance import MivotInstance from pyvo.mivot.features.sky_coord_builder import SkyCoordBuilder from pyvo.mivot.utils.exceptions import NoMatchingDMTypeError from pyvo.mivot.viewer.mivot_viewer import MivotViewer from pyvo.utils import activate_features # Enable MIVOT-specific features in the pyvo library activate_features("MIVOT") # annotations generated by Vizier as given to the MivotInstance vizier_dict = { "dmtype": "mango:EpochPosition", "longitude": { "dmtype": "ivoa:RealQuantity", "value": 52.26722684, "unit": "deg", "ref": "RAICRS", }, "latitude": { "dmtype": "ivoa:RealQuantity", "value": 59.94033461, "unit": "deg", "ref": "DEICRS", }, "pmLongitude": { "dmtype": "ivoa:RealQuantity", "value": -0.82, "unit": "mas/yr", "ref": "pmRA", }, "pmLatitude": { "dmtype": "ivoa:RealQuantity", "value": -1.85, "unit": "mas/yr", "ref": "pmDE", }, "obsDate": { "dmtype": "ivoa:RealQuantity", "value": 1991.25, "unit": "yr", "ref": None, }, "spaceSys": { "dmtype": "coords:SpaceSys", "dmid": "SpaceFrame_ICRS", "dmrole": "coords:Coordinate.coordSys", "frame": { "dmtype": "coords:SpaceFrame", "dmrole": "coords:PhysicalCoordSys.frame", "spaceRefFrame": { "dmtype": "ivoa:string", "value": "ICRS" }, }, }, } # The same edited by hand (parallax added and FK5 + Equinox frame) vizier_equin_dict = { "dmtype": "mango:EpochPosition", "longitude": { "dmtype": "ivoa:RealQuantity", "value": 52.26722684, "unit": "deg", "ref": "RAICRS", }, "latitude": { "dmtype": "ivoa:RealQuantity", "value": 59.94033461, "unit": "deg", "ref": "DEICRS", }, "pmLongitude": { "dmtype": "ivoa:RealQuantity", "value": -0.82, "unit": "mas/yr", "ref": "pmRA", }, "pmLatitude": { "dmtype": "ivoa:RealQuantity", "value": -1.85, "unit": "mas/yr", "ref": "pmDE", }, "parallax": { "dmtype": "ivoa:RealQuantity", "value": 0.6, "unit": "mas", "ref": "parallax", }, "obsDate": { "dmtype": "ivoa:RealQuantity", "value": 1991.25, "unit": "yr", "ref": None, }, "spaceSys": { "dmtype": "coords:SpaceSys", "dmid": "SpaceFrame_ICRS", "dmrole": "coords:Coordinate.coordSys", "frame": { "dmtype": "coords:SpaceFrame", "dmrole": "coords:PhysicalCoordSys.frame", "spaceRefFrame": { "dmtype": "ivoa:string", "value": "FK5" }, "equinox": { "dmtype": "coords:SpaceFrame.equinox", "value": "2012", "unit": "yr", } } }, } # The same edited mapped on a dummy class vizier_dummy_type = { "dmtype": "mango:DumyType", "longitude": { "dmtype": "ivoa:RealQuantity", "value": 52.26722684, "unit": "deg", "ref": "RAICRS", }, "latitude": { "dmtype": "ivoa:RealQuantity", "value": 59.94033461, "unit": "deg", "ref": "DEICRS", }, "pmLongitude": { "dmtype": "ivoa:RealQuantity", "value": -0.82, "unit": "mas/yr", "ref": "pmRA", }, "pmLatitude": { "dmtype": "ivoa:RealQuantity", "value": -1.85, "unit": "mas/yr", "ref": "pmDE", }, "parallax": { "dmtype": "ivoa:RealQuantity", "value": 0.6, "unit": "mas", "ref": "parallax", }, "obsDate": { "dmtype": "ivoa:RealQuantity", "value": 1991.25, "unit": "yr", "ref": None, }, "coordSys": { "dmtype": "coords:SpaceSys", "dmid": "SpaceFrame_ICRS", "dmrole": "coords:Coordinate.coordSys", "spaceRefFrame": { "dmtype": "coords:SpaceFrame.spaceRefFrame", "value": "FK5", "unit": None, "ref": None, }, "equinox": { "dmtype": "coords:SpaceFrame.equinox", "value": "2012", "unit": "yr", }, }, } def test_no_matching_mapping(): """ Test that a NoMatchingDMTypeError is raised not mapped on mango:EpochPosition """ with pytest.raises(NoMatchingDMTypeError): mivot_instance = MivotInstance(**vizier_dummy_type) scb = SkyCoordBuilder(mivot_instance) scb.build_sky_coord() @pytest.mark.skipif(not check_astropy_version(), reason="need astropy 6+") def test_vizier_output(): """ Test the SkyCoord issued from the Vizier response """ mivot_instance = MivotInstance(**vizier_dict) scb = SkyCoordBuilder(mivot_instance) scoo = scb.build_sky_coord() assert (str(scoo).replace("\n", "").replace(" ", "") == "") scoo = mivot_instance.get_SkyCoord() assert (str(scoo).replace("\n", "").replace(" ", "") == "") vizier_dict["spaceSys"]["frame"]["spaceRefFrame"]["value"] = "Galactic" mivot_instance = MivotInstance(**vizier_dict) scoo = mivot_instance.get_SkyCoord() assert (str(scoo).replace("\n", "").replace(" ", "") == "") vizier_dict["spaceSys"]["frame"]["spaceRefFrame"]["value"] = "QWERTY" mivot_instance = MivotInstance(**vizier_dict) scoo = mivot_instance.get_SkyCoord() assert (str(scoo).replace("\n", "").replace(" ", "") == "") @pytest.mark.skipif(not check_astropy_version(), reason="need astropy 6+") def test_vizier_output_with_equinox_and_parallax(): """Test the SkyCoord issued from the modified Vizier response * (parallax added and FK5 + Equinox frame) """ mivot_instance = MivotInstance(**vizier_equin_dict) scb = SkyCoordBuilder(mivot_instance) scoo = scb.build_sky_coord() assert (str(scoo).replace("\n", "").replace(" ", "") == "") mydict = deepcopy(vizier_equin_dict) mydict["spaceSys"]["frame"]["spaceRefFrame"]["value"] = "FK4" mivot_instance = MivotInstance(**mydict) scoo = mivot_instance.get_SkyCoord() assert (str(scoo).replace("\n", "").replace(" ", "") == "") @pytest.mark.skipif(not check_astropy_version(), reason="need astropy 6+") def test_simad_cs_output(): """Test the SkyCoord issued from a Simbad SCS response """ filename = get_pkg_data_filename('data/simbad-cone-mivot.xml') m_viewer = MivotViewer(filename, resolve_ref=True) mivot_instance = m_viewer.dm_instance scb = SkyCoordBuilder(mivot_instance) scoo = scb.build_sky_coord() assert scoo.ra.degree == pytest.approx(269.45207696) assert scoo.dec.degree == pytest.approx(4.69336497) assert scoo.distance.pc == pytest.approx(1.82823411) x = scoo.pm_ra_cosdec.value y = (-801.551 * u.mas/u.yr).value assert x == pytest.approx(y) x = scoo.pm_dec.value y = (10362.394 * u.mas/u.yr).value assert x == pytest.approx(y) assert str(scoo.obstime) == "J2000.000" def test_time_representation(): """ Test various time representations Inconsistent values are not tested since there are detected by ``astropy.core.Time`` """ # work with a copy to not alter other test functions mydict = deepcopy(vizier_equin_dict) mydict["obsDate"]["unit"] = "mjd" mivot_instance = MivotInstance(**mydict) scb = SkyCoordBuilder(mivot_instance) scoo = scb.build_sky_coord() assert scoo.obstime.jyear_str == "J1864.331" mydict["obsDate"]["unit"] = "jd" mydict["obsDate"]["value"] = "2460937.36" mivot_instance = MivotInstance(**mydict) scb = SkyCoordBuilder(mivot_instance) scoo = scb.build_sky_coord() assert scoo.obstime.jyear_str == "J2025.715" mydict = deepcopy(vizier_equin_dict) mydict["obsDate"]["unit"] = "iso" mydict["obsDate"]["dmtype"] = "ivoa:string" mydict["obsDate"]["value"] = "2025-05-03" mivot_instance = MivotInstance(**mydict) scb = SkyCoordBuilder(mivot_instance) scoo = scb.build_sky_coord() assert scoo.obstime.jyear_str == "J2025.335" astropy-pyvo-b70558c/pyvo/mivot/tests/test_static_reference.py000066400000000000000000000022231510533647000247630ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ Test for mivot.features.static_reference_resolver.py """ import pytest from astropy.utils.data import get_pkg_data_filename from pyvo.mivot.seekers.annotation_seeker import AnnotationSeeker from pyvo.mivot.features.static_reference_resolver import StaticReferenceResolver from pyvo.mivot.version_checker import check_astropy_version from pyvo.mivot.viewer import MivotViewer from . import XMLOutputChecker @pytest.mark.skipif(not check_astropy_version(), reason="need astropy 6+") def test_static_reference_resolve(a_seeker, instance): StaticReferenceResolver.resolve(a_seeker, None, instance) XMLOutputChecker.assertXmltreeEqualsFile( instance.getroot(), get_pkg_data_filename("data/reference/static_reference_resolved.xml") ) @pytest.fixture def instance(): return XMLOutputChecker.xmltree_from_file( get_pkg_data_filename("data/static_reference.xml")) @pytest.fixture def a_seeker(): m_viewer = MivotViewer( get_pkg_data_filename("data/test.mivot_viewer.xml"), tableref="Results") return AnnotationSeeker(m_viewer._mapping_block) astropy-pyvo-b70558c/pyvo/mivot/tests/test_user_api.py000066400000000000000000000365631510533647000233030ustar00rootroot00000000000000""" Check the API exposed to the user works properly This unit test can also be used as a code example Created on 26 Feb. 2024 @author: michel """ import os import pytest from urllib.request import urlretrieve import astropy.units as u from astropy.coordinates import SkyCoord from pyvo.dal.scs import SCSService from pyvo.mivot.version_checker import check_astropy_version from pyvo.mivot.viewer import MivotViewer from astropy.io.votable import parse ref_ra = [ 0.04827189, 0.16283175, 0.29222255, 0.42674592, 359.5190115, 359.94372764, ] ref_dec = [ -0.36042119, 0.22293899, -0.07592034, -0.21749947, -0.1281483, -0.28005255, ] ref_pmdec = [ -11.67, -3.09, -73.28, -114.08, -19.05, -25.43 ] ref_pmra = [ 61.75, 39.02, 54.94, 20.73, -45.19, -5.14 ] @pytest.fixture def data_path(): return os.path.dirname(os.path.realpath(__file__)) @pytest.fixture def data_sample_url(): return "https://raw.githubusercontent.com/ivoa/dm-usecases/main/pyvo-ci-sample/" @pytest.fixture def vizier_url(): return "https://vizier.cds.unistra.fr/viz-bin/conesearch/V1.5/I/239/hip_main?RA=0&DEC=0&;SR=0.5" @pytest.fixture def delt_coo(): """acceptable delta for coordinate value comparisons""" return 0.0000001 @pytest.fixture def path_to_votable(data_path, data_sample_url): votable_name = "vizier_for_user_api.xml" votable_path = os.path.join(data_path, "data", votable_name) urlretrieve(data_sample_url + votable_name, votable_path) yield votable_path os.remove(votable_path) @pytest.fixture def path_to_full_mapped_votable(data_path, data_sample_url): votable_name = "gaia_epoch_propagation_full.xml" votable_path = os.path.join(data_path, "data", votable_name) urlretrieve(data_sample_url + votable_name, votable_path) yield votable_path os.remove(votable_path) @pytest.mark.remote_data @pytest.mark.skipif(not check_astropy_version(), reason="need astropy 6+") def test_mivot_viewer_next(path_to_votable): """ Check that ten MivotViewer iterating over the data rows provides the expected values """ mivot_viewer = MivotViewer(path_to_votable, resolve_ref=True) mivot_instance = mivot_viewer.dm_instance assert mivot_instance.dmtype == "mango:EpochPosition" assert mivot_instance.coordSys.spaceRefFrame.value == "ICRS" ra = [] dec = [] pmra = [] pmdec = [] while mivot_viewer.next_row_view(): ra.append(mivot_instance.longitude.value) dec.append(mivot_instance.latitude.value) pmra.append(mivot_instance.pmLongitude.value) pmdec.append(mivot_instance.pmLatitude.value) assert ra == ref_ra assert dec == ref_dec assert pmra == ref_pmra assert pmdec == ref_pmdec @pytest.mark.remote_data @pytest.mark.skipif(not check_astropy_version(), reason="need astropy 6+") def test_mivot_tablerow_next(path_to_votable): """ Check that the MIVOT interpreter can be applied to a classical table readout. - The MivotViewer is initialized on the first data row (behind the stage) to be able to build a MivoInstance that will provide a model view on the data - The data table is read in a classical way - The MivotInstance is updated with data row providing so a model view on it """ votable = parse(path_to_votable) table = votable.resources[0].tables[0] mivot_viewer = MivotViewer(votable, resolve_ref=True) mivot_instance = mivot_viewer.dm_instance assert mivot_instance.dmtype == "mango:EpochPosition" assert mivot_instance.coordSys.spaceRefFrame.value == "ICRS" ra = [] dec = [] pmra = [] pmdec = [] for rec in table.array: mivot_instance.update(rec) ra.append(mivot_instance.longitude.value) dec.append(mivot_instance.latitude.value) pmra.append(mivot_instance.pmLongitude.value) pmdec.append(mivot_instance.pmLatitude.value) assert ra == ref_ra assert dec == ref_dec assert pmra == ref_pmra assert pmdec == ref_pmdec @pytest.mark.remote_data @pytest.mark.skipif(not check_astropy_version(), reason="need astropy 6+") def test_external_iterator(path_to_votable, delt_coo): """Checks that the values returned by MIVOT are the same as those read by Astropy - The MivotViewer is initialized on the first data row (behind the stage) to be able to build a MivoInstance that will provide a model view on the data - The data table is read in a classical way - The MivotInstance is updated with data row providing so a model view on it - The attribute values are then checked against the table data """ # parse the VOTable outside of the viewer votable = parse(path_to_votable) table = votable.resources[0].tables[0] # init the viewer mivot_viewer = MivotViewer(votable) mivot_instance = mivot_viewer.dm_instance for rec in table.array: mivot_instance.update(rec) assert rec["RAICRS"] == mivot_instance.longitude.value assert rec["DEICRS"] == mivot_instance.latitude.value assert rec["pmRA"] == mivot_instance.pmLongitude.value assert rec["pmDE"] == mivot_instance.pmLatitude.value @pytest.mark.remote_data @pytest.mark.skipif(not check_astropy_version(), reason="need astropy 6+") def test_with_withstatement(path_to_votable): """check that the values read by a MivotViewer used with a with statement are those expected """ read_ra = [] read_dec = [] read_pmra = [] read_pmdec = [] with MivotViewer(path_to_votable) as mivot_viewer: mivot_object = mivot_viewer.dm_instance while mivot_viewer.next_row_view(): read_ra.append(mivot_object.longitude.value) read_dec.append(mivot_object.latitude.value) read_pmra.append(mivot_object.pmLongitude.value) read_pmdec.append(mivot_object.pmLatitude.value) assert read_ra == ref_ra assert read_dec == ref_dec assert read_pmra == ref_pmra assert read_pmdec == ref_pmdec @pytest.mark.remote_data @pytest.mark.skipif(not check_astropy_version(), reason="need astropy 6+") def test_with_dict(path_to_votable): """check that the MIVOT object user dictionary match the read data""" with MivotViewer(path_to_votable, resolve_ref=True) as mivot_viewer: mivot_object = mivot_viewer.dm_instance # let"s focus on the last data row while mivot_viewer.next_row_view(): pass # check the slim (user friendly) dictionary assert mivot_object.to_dict() == { "dmtype": "mango:EpochPosition", "longitude": {"dmtype": "ivoa:RealQuantity", "value": 359.94372764, "unit": "deg"}, "latitude": {"dmtype": "ivoa:RealQuantity", "value": -0.28005255, "unit": "deg"}, "pmLongitude": {"dmtype": "ivoa:RealQuantity", "value": -5.14, "unit": "mas/yr"}, "pmLatitude": {"dmtype": "ivoa:RealQuantity", "value": -25.43, "unit": "mas/yr"}, "epoch": {"dmtype": "ivoa:RealQuantity", "value": 1991.25, "unit": "year"}, "coordSys": { "dmtype": "coords:SpaceSys", "dmid": "SpaceFrame_ICRS", "dmrole": "coords:Coordinate.coordSys", "spaceRefFrame": {"dmtype": "coords:SpaceFrame", "value": "ICRS"}, }, } # check the whole dictionary assert mivot_object.to_hk_dict() == { "dmtype": "mango:EpochPosition", "longitude": { "dmtype": "ivoa:RealQuantity", "value": 359.94372764, "unit": "deg", "ref": "RAICRS", }, "latitude": { "dmtype": "ivoa:RealQuantity", "value": -0.28005255, "unit": "deg", "ref": "DEICRS", }, "pmLongitude": { "dmtype": "ivoa:RealQuantity", "value": -5.14, "unit": "mas/yr", "ref": "pmRA", }, "pmLatitude": { "dmtype": "ivoa:RealQuantity", "value": -25.43, "unit": "mas/yr", "ref": "pmDE", }, "epoch": { "dmtype": "ivoa:RealQuantity", "value": 1991.25, "unit": "year", "ref": None, }, "coordSys": { "dmtype": "coords:SpaceSys", "dmid": "SpaceFrame_ICRS", "dmrole": "coords:Coordinate.coordSys", "spaceRefFrame": { "dmtype": "coords:SpaceFrame", "value": "ICRS", "unit": None, "ref": None, }, }, } @pytest.mark.remote_data @pytest.mark.skipif(not check_astropy_version(), reason="need astropy 6+") def test_with_full_dict(path_to_full_mapped_votable): """check that the MIVOT object user dictionary match the read data - The data sample used here maps the whole EpochPosition model except TimeSys """ with MivotViewer(path_to_full_mapped_votable, resolve_ref=True) as mivot_viewer: mivot_object = mivot_viewer.dm_instance # let"s focus on the second data row while mivot_viewer.next_row_view(): # check the slim (user friendly) dictionary assert mivot_object.to_dict() == { "dmtype": "mango:EpochPosition", "longitude": {"dmtype": "ivoa:RealQuantity", "value": 307.79115807079, "unit": "deg"}, "latitude": {"dmtype": "ivoa:RealQuantity", "value": 20.43108005561, "unit": "deg"}, "parallax": {"dmtype": "ivoa:RealQuantity", "value": 0.4319, "unit": "mas"}, "radialVelocity": {"dmtype": "ivoa:RealQuantity", "value": None, "unit": "km/s"}, "pmLongitude": {"dmtype": "ivoa:RealQuantity", "value": -2.557, "unit": "mas/yr"}, "pmLatitude": {"dmtype": "ivoa:RealQuantity", "value": -5.482, "unit": "mas/yr"}, "epoch": {"dmtype": "coords:Epoch", "value": "2016.5"}, "pmCosDeltApplied": {"dmtype": "ivoa:boolean", "value": True}, "errors": { "dmrole": "mango:EpochPosition.errors", "dmtype": "mango:EpochPositionErrors", "parallax": { "dmrole": "mango:EpochPositionErrors.parallax", "dmtype": "mango:ErrorTypes.PropertyError1D", "sigma": {"dmtype": "ivoa:real", "value": 0.06909999996423721, "unit": "mas"}, }, "radialVelocity": { "dmrole": "mango:EpochPositionErrors.radialVelocity", "dmtype": "mango:ErrorTypes.PropertyError1D", "sigma": {"dmtype": "ivoa:real", "value": None, "unit": "km/s"}, }, "position": { "dmrole": "mango:EpochPositionErrors.position", "dmtype": "mango:ErrorTypes.ErrorMatrix", "sigma1": {"dmtype": "ivoa:real", "value": 0.0511, "unit": "mas"}, "sigma2": {"dmtype": "ivoa:real", "value": 0.0477, "unit": "mas"}, }, "properMotion": { "dmrole": "mango:EpochPositionErrors.properMotion", "dmtype": "mango:ErrorTypes.ErrorMatrix", "sigma1": {"dmtype": "ivoa:real", "value": 0.06400000303983688, "unit": "mas/yr"}, "sigma2": {"dmtype": "ivoa:real", "value": 0.06700000166893005, "unit": "mas/yr"}, }, }, "correlations": { "dmrole": "mango:EpochPosition.correlations", "dmtype": "mango:EpochPositionCorrelations", "positionPm": { "dmrole": "mango:EpochPositionCorrelations.positionPm", "dmtype": "mango:Correlation22", "isCovariance": {"dmtype": "ivoa:boolean", "value": True}, "a2b1": {"dmtype": "ivoa:real", "value": -0.0085}, "a2b2": {"dmtype": "ivoa:real", "value": -0.2983}, "a1b1": {"dmtype": "ivoa:real", "value": -0.4109}, "a1b2": {"dmtype": "ivoa:real", "value": -0.0072}, }, "parallaxPm": { "dmrole": "mango:EpochPositionCorrelations.parallaxPm", "dmtype": "mango:Correlation12", "isCovariance": {"dmtype": "ivoa:boolean", "value": True}, "a1b1": {"dmtype": "ivoa:real", "value": -0.2603}, "a1b2": {"dmtype": "ivoa:real", "value": -0.0251}, }, "positionParallax": { "dmrole": "mango:EpochPositionCorrelations.positionParallax", "dmtype": "mango:Correlation21", "isCovariance": {"dmtype": "ivoa:boolean", "value": True}, "a2b1": {"dmtype": "ivoa:real", "value": 0.0069}, "a1b1": {"dmtype": "ivoa:real", "value": 0.1337}, }, "positionPosition": { "dmrole": "mango:EpochPositionCorrelations.positionPosition", "dmtype": "mango:Correlation22", "isCovariance": {"dmtype": "ivoa:boolean", "value": True}, "a2b1": {"dmtype": "ivoa:real", "value": 0.1212}, "a1b2": {"dmtype": "ivoa:real", "value": 0.1212}, }, "properMotionPm": { "dmrole": "mango:EpochPositionCorrelations.properMotionPm", "dmtype": "mango:Correlation22", "isCovariance": {"dmtype": "ivoa:boolean", "value": True}, "a2b1": {"dmtype": "ivoa:real", "value": 0.2688}, "a1b2": {"dmtype": "ivoa:real", "value": 0.2688}, }, }, "coordSys": { "dmid": "_spacesys_icrs", "dmrole": "mango:EpochPosition.coordSys", "dmtype": "coords:SpaceSys", "frame": { "dmrole": "coords:PhysicalCoordSys.frame", "dmtype": "coords:SpaceFrame", "spaceRefFrame": {"dmtype": "ivoa:string", "value": "ICRS"}, }, }, } break @pytest.mark.remote_data @pytest.mark.skipif(not check_astropy_version(), reason="need astropy 6+") def test_cone_search(vizier_url): """ Test that data returned by Vizier CS (1 row) and read through MIVOt are those expected """ scs_srv = SCSService(vizier_url) m_viewer = MivotViewer( scs_srv.search( pos=SkyCoord(ra=52.26708 * u.degree, dec=59.94027 * u.degree, frame="icrs"), radius=0.05, ), resolve_ref=True ) mivot_instance = m_viewer.dm_instance assert mivot_instance.dmtype == "mango:EpochPosition" assert mivot_instance.spaceSys.frame.spaceRefFrame.value == "ICRS" ra = [] dec = [] pmra = [] pmdec = [] while m_viewer.next_row_view(): ra.append(mivot_instance.longitude.value) dec.append(mivot_instance.latitude.value) pmra.append(mivot_instance.pmLongitude.value) pmdec.append(mivot_instance.pmLatitude.value) assert ra == [52.26722684] assert dec == [59.94033461] assert pmra == [-0.82] assert pmdec == [-1.85] astropy-pyvo-b70558c/pyvo/mivot/tests/test_vizier_cs.py000066400000000000000000000110201510533647000234460ustar00rootroot00000000000000''' The first service in operation the annotates query responses in the fly is Vizier https://cds/viz-bin/mivotconesearch/VizierParams Data are mapped o the EPochPropagtion model as it is implemented in the current code. This test case is based on 2 VOTables: - The Vizier native (vizier_cs_withname.xml) where all ATTRIBUTE@ref are based on FIELD@name even when a field has an ID. - The patched vizier (vizier_cs_withid.xml) where all ATTRIBUTE@ref are based on FIELD@ID or FIELD@name if it exists. The test checks that: - The position fields can be retrieved through the mapping. - Both cases give the same results A third test checks the case where a referenced column does not exist. Created on 26 janv. 2024 @author: michel ''' import os import pytest from urllib.request import urlretrieve from pyvo.mivot.version_checker import check_astropy_version from pyvo.mivot.viewer import MivotViewer from pyvo.mivot.utils.exceptions import MivotError @pytest.fixture def data_path(): return os.path.dirname(os.path.realpath(__file__)) @pytest.fixture def data_sample_url(): return "https://raw.githubusercontent.com/ivoa/dm-usecases/main/pyvo-ci-sample/" @pytest.fixture def delt_coo(): """ acceptable delta for coordinate value comparisons """ return 0.0000005 @pytest.fixture def path_to_withname(data_path, data_sample_url): votable_name = "vizier_cs_withname.xml" votable_path = os.path.join(data_path, "data", votable_name) urlretrieve(data_sample_url + votable_name, votable_path) yield votable_path os.remove(votable_path) @pytest.fixture def path_to_withid(data_path, data_sample_url): votable_name = "vizier_cs_withid.xml" votable_path = os.path.join(data_path, "data", votable_name) urlretrieve(data_sample_url + votable_name, votable_path) yield votable_path os.remove(votable_path) @pytest.fixture def path_to_badref(data_path, data_sample_url): votable_name = "vizier_cs_badref.xml" votable_path = os.path.join(data_path, "data", votable_name) urlretrieve(data_sample_url + votable_name, votable_path) yield votable_path os.remove(votable_path) @pytest.mark.remote_data @pytest.mark.skipif(not check_astropy_version(), reason="need astropy 6+") def test_with_name(path_to_withname, delt_coo): """ Test that the epoch propagation works with all FIELDs referenced by name or by ID """ m_viewer = MivotViewer(votable_path=path_to_withname, resolve_ref=True) m_viewer.next_row_view() mivot_object = m_viewer.dm_instance assert abs(mivot_object.longitude.value - 52.2340018) < delt_coo assert abs(mivot_object.latitude.value - 59.8937333) < delt_coo assert abs(mivot_object.pmLongitude.value - 1.5) < delt_coo assert abs(mivot_object.pmLatitude.value - -12.30000019) < delt_coo assert str(mivot_object.epoch.value) == '2013.418' assert str(mivot_object.coordSys.spaceRefFrame.value) == 'ICRS' m_viewer.next_row_view() assert abs(mivot_object.longitude.value - 32.2340018) < delt_coo assert abs(mivot_object.latitude.value - 49.8937333) < delt_coo assert abs(mivot_object.pmLongitude.value - 1.5) < delt_coo assert abs(mivot_object.pmLatitude.value - -12.30000019) < delt_coo assert str(mivot_object.epoch.value) == '2013.418' assert str(mivot_object.coordSys.spaceRefFrame.value) == 'ICRS' @pytest.mark.remote_data @pytest.mark.skipif(not check_astropy_version(), reason="need astropy 6+") def test_with_id(path_to_withid, delt_coo): """ Test that the epoch propagation works with all FIELDs referenced by name or by ID """ # Test with all FILELDs referenced by names m_viewer = MivotViewer(votable_path=path_to_withid) m_viewer.next_row_view() mivot_instance = m_viewer.dm_instance assert abs(mivot_instance.longitude.value - 52.2340018) < delt_coo assert abs(mivot_instance.latitude.value - 59.8937333) < delt_coo assert abs(mivot_instance.pmLongitude.value - 1.5) < delt_coo assert abs(mivot_instance.pmLatitude.value - -12.30000019) < delt_coo assert str(mivot_instance.epoch.value) == '2013.418' @pytest.mark.remote_data @pytest.mark.skipif(not check_astropy_version(), reason="need astropy 6+") def test_bad_ref(path_to_badref, delt_coo): """ Test that the epoch propagation works with all FIELDs referenced by name or by ID """ # Test with all FILELDs referenced by names with (pytest.raises(MivotError, match="Attribute mango:EpochPosition.epoch can not be set.*")): MivotViewer(votable_path=path_to_badref) astropy-pyvo-b70558c/pyvo/mivot/utils/000077500000000000000000000000001510533647000200445ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/mivot/utils/__init__.py000066400000000000000000000000431510533647000221520ustar00rootroot00000000000000from .mivot_utils import MivotUtilsastropy-pyvo-b70558c/pyvo/mivot/utils/dict_utils.py000066400000000000000000000045511510533647000225660ustar00rootroot00000000000000""" Utility class to process dictionary. """ import json import logging from pyvo.mivot.utils.exceptions import MivotError from pyvo.mivot.utils.json_encoder import MivotJsonEncoder class DictUtils: """ Static class implementing convenient operations on dictionaries. """ @staticmethod def add_array_element(dictionnary, key): """ Add a [] as key element if not exist Parameters: ----------- dictionnary: dict dictionnary to be updated key: string key to be added Returns: -------- Bool True if the key element has been added """ if key not in dictionnary: dictionnary[key] = [] return True return False @staticmethod def read_dict_from_file(filename, fatal=False): """ Read a dictionary from a file and raise an exception if something goes wrong. Parameters: - filename (str): The filename. Any file that can be processed by json.load is accepted - fatal (bool): Triggers a system exit if True. Returns: - dict: The dictionary extracted from the file. Raises: - DataFormatException: If the file has an incorrect format. """ try: logging.debug("Reading json from %s", filename) from collections import OrderedDict with open(filename) as file: return json.load(file, object_pairs_hook=OrderedDict) except Exception as exception: if fatal: raise MivotError(f"reading {filename}") else: logging.error(f"{exception} reading {filename}") @staticmethod def _get_pretty_json(dictionary): """ Return a pretty string representation of the dictionary. Parameters: - dictionary (dict): The dictionary. Returns: - str: A pretty string representation of the dictionary. """ return json.dumps(dictionary, indent=2, cls=MivotJsonEncoder) @staticmethod def print_pretty_json(dictionary): """ Print out a pretty string representation of the dictionary. Parameters: - dictionary (dict): The dictionary. """ print(DictUtils._get_pretty_json(dictionary)) astropy-pyvo-b70558c/pyvo/mivot/utils/exceptions.py000066400000000000000000000024041510533647000225770ustar00rootroot00000000000000""" MIVOT Exceptions 3 exception classes - AstropyVersionException that prevent to use the package - MappingError if the annotation cannot be processed (e.g. no MIVOT block) but the VOtable parsing can continue - MivotError in any other case (block the processing) """ class MivotError(Exception): """ The annotation block is there but something went wrong with its processing """ class MappingError(Exception): """ Exception raised if a Resource or MIVOT element can't be mapped for one of these reasons: - It doesn't match with any Resource/MIVOT element expected. - It matches with too many Resource/MIVOT elements than expected. This exception is trapped by the Viewer so that the processing can continue by ignoring the annotations """ class NoMatchingDMTypeError(TypeError): """ Exception thrown when some PyVO code misses MIVOT element: - When trying to build a SkyCoord while there is no position in the annotations - is mapped to a model unknown to the PyVO code. This exception is never caught by the mivot package. It must be handled by the calling code. """ class AstropyVersionException(Exception): """ Exception raised if the version of astropy is not compatible with MIVOT. """ astropy-pyvo-b70558c/pyvo/mivot/utils/json_encoder.py000066400000000000000000000015411510533647000230670ustar00rootroot00000000000000import json import numpy class MivotJsonEncoder(json.JSONEncoder): """ Custom JSON encoder for NumPy data types. This class extends the default JSONEncoder to handle NumPy integers, floating-point numbers, and arrays during JSON encoding. """ def default(self, obj): """ Serialize NumPy data types to their Python equivalents for JSON encoding. Parameters ---------- obj : Any The object to be encoded. Returns ------- Any The serialized version of the object. """ if isinstance(obj, numpy.integer): return int(obj) elif isinstance(obj, numpy.floating): return float(obj) elif isinstance(obj, numpy.ndarray): return obj.tolist() else: return super().default(obj) astropy-pyvo-b70558c/pyvo/mivot/utils/mivot_utils.py000066400000000000000000000262241510533647000230020ustar00rootroot00000000000000''' Utilities handling various operations on Mivot instances ''' import numpy from pyvo.mivot.utils.exceptions import MappingError from pyvo.mivot.glossary import IvoaType, Roles, ModelPrefix class MivotUtils: """ Some utilities making easier the transformation of Mivot elements into dictionary components. These dictionaries are used to generate ``MivotInstance`` objects """ @staticmethod def _valid_mapped_dmroles(mapped_roles, class_name): """ Check that the given mapped roles of the given class, are in the `pyvo.mivot.glossary.Roles`, which reflects the model. Parameters ---------- mapped_roles: dict Dictionary of the matches between the dmroles (dict keys) and the column identifiers (dict values). This mapping is a user input. class_name: str Name of the class to which the mapping applies Returns ------- dict The dictionary of valid matches between the dmroles (dict keys) and the column identifiers (dict values). Raises ------ MappingError If the class ``class_name`` is not supported or if some mapped role does not exist for the glossary """ # Check that the class is in the glossary if not hasattr(Roles, class_name): raise MappingError(f"Unknown or unimplemented class {class_name}") # get the list of supported roles dmroles = getattr(Roles, class_name) real_mapping = [] for mapped_role, column in mapped_roles: # 'class' is a reserved word, not a role if mapped_role == "class" or isinstance(column, dict) or isinstance(column, list): continue found = False for leaf in dmroles: dmrole = f"{ModelPrefix.mango}:{class_name}.{leaf}" if dmrole.lower().endswith("." + mapped_role.lower()): real_mapping.append((dmrole, column)) found = True break if not found: raise MappingError(f"Class {ModelPrefix.mango}:{class_name} " f"has no {mapped_role} attribute." f"Supported roles are {dmroles}") return real_mapping @staticmethod def xml_to_dict(element): """ Recursively create a nested dictionary from the XML tree structure, preserving the hierarchy. The processing of elements depends on the tag: - For INSTANCE, a new dictionary is created. - For COLLECTION, a list is created. - For ATTRIBUTE, a leaf structure is created in the tree structure with dmtype, dmrole, value, unit, and ref keys. Parameters ---------- element : `xml.etree.ElementTree.Element` The XML element to convert to a dictionary Returns ------- dict The nested dictionary representing the XML tree structure. """ dict_result = {} for key, value in element.attrib.items(): dict_result[key] = value for child in element: dmrole = child.get("dmrole") if child.tag == "ATTRIBUTE": dict_result[dmrole] = MivotUtils._attribute_to_dict(child) elif child.tag == "INSTANCE": # INSTANCE is recursively well managed by the function _to_dict dict_result[dmrole] = MivotUtils.xml_to_dict(child) elif child.tag == "COLLECTION": dict_result[dmrole] = MivotUtils._collection_to_dict(child) return dict_result @staticmethod def _attribute_to_dict(child): """ Convert an ATTRIBUTE (XML) element to a dictionary. ATTRIBUTE being always a leaf, the conversion is not recursive. Parameters ---------- child : `xml.etree.ElementTree.Element` ATTRIBUTE XML element to convert. Returns ------- dict: A dictionary representing the ATTRIBUTE element with keys: 'dmtype', 'dmrole', 'value', 'unit', and 'ref'. """ attribute = {} if child.get("dmtype") is not None: attribute["dmtype"] = child.get("dmtype") if child.get("value") is not None: attribute["value"] = MivotUtils.cast_type_value(child.get("value"), child.get("dmtype")) else: attribute["value"] = None if child.get("unit") is not None: attribute["unit"] = child.get("unit") else: attribute["unit"] = None if child.get("ref") is not None: attribute["ref"] = child.get("ref") else: attribute["ref"] = None return attribute @staticmethod def _collection_to_dict(child): """ Convert a COLLECTION element (child) to a list of dictionaries. Parameters ---------- child : `xml.etree.ElementTree.Element` COLLECTION XML element to convert Returns ------- list({}) list of dictionaries representing the COLLECTION items """ collection_items = [] for child_coll in child: collection_items.append(MivotUtils.xml_to_dict(child_coll)) return collection_items @staticmethod def cast_type_value(value, dmtype): """ Cast value to the Python type matching dmtype. Parameters ---------- value : str value to cast dmtype : str model dmtype Returns ------- Union[bool, float, str, None] The casted value or None """ lower_dmtype = dmtype.lower() # empty strings cannot be casted if "string" not in lower_dmtype and value == "": return None if numpy.issubdtype(type(value), numpy.floating): return float(value) if isinstance(value, str): lower_value = value.lower() else: lower_value = value if "bool" in lower_dmtype: if value == "1" or lower_value == "true" or lower_value: return True else: return False elif lower_value in ('notset', 'noset', 'null', 'none', 'nan') or value is None: return None elif (isinstance(value, numpy.ndarray) or isinstance(value, numpy.ma.core.MaskedConstant) or value == '--'): return None elif "real" in lower_dmtype or "double" in lower_dmtype or "float" in lower_dmtype: return float(value) else: return value @staticmethod def format_dmid(dmid): """ Replace characters that could confuse XPath queries with '_'. This is not required by the MIVOT schema but this makes this API more robust Returns ------- str formatted dmid """ if dmid is not None: return dmid.replace("/", "_").replace(".", "_").replace("-", "_") return "" @staticmethod def get_field_attributes(table, column_id): """ Parameters ---------- table : astropy.table Table (from parsed VOTable) of the mapped data column_id : str Identifier of the table column from which we want to get the unit Returns ------- unit, ref, literal """ ref, literal = MivotUtils.get_ref_or_literal(column_id) if literal: return None, None, literal else: try: field = table.get_field_by_id_or_name(ref) return str(field.unit), column_id, None except KeyError as keyerror: raise MappingError(f"Cannot find any field identified by {column_id}") from keyerror @staticmethod def get_ref_or_literal(value_or_ref): """ Check if value_or_ref must be interpreted as a column reference or a literal. Returns ------- (ref, literal) """ if not value_or_ref: raise MappingError("An attribute cannot be set with a None value") elif isinstance(value_or_ref, str): return ((None, value_or_ref.replace("*", "")) if value_or_ref.startswith("*") else (value_or_ref, None)) else: return (None, value_or_ref) @staticmethod def as_literal(identifier): """ Make sure the identifier will be interpreted as a literal (* prefix). Literal are either non string values or strings starting with a * Parameters ---------- identifier: str column identifier or literal value Returns ------- str identifier prefixes with a * """ if isinstance(identifier, str) and not identifier.startswith("*"): return "*" + identifier return identifier @staticmethod def populate_instance(property_instance, class_name, mapping, table, dmtype, as_literals=False, package=None): """ This function inserts in the property_instance all expected attributes. - The structure of the class is supposed to be flat (only ATTRIBUTEs). - All attributes are meant to have the same dmtype. - The mapping is checked against the `pyvo.mivot.glossary.Roles`. Parameters ---------- property_instance : `pyvo.mivot.writer.instance.MivotInstance` Mivot instance to populate with attributes class_name : str Name of the property_instance class (dmtype). Used to get all the attribute roles (given by the model) of the class mapping : dict Dictionary associating model roles with their values. table : astropy.table Table (from parsed VOTable) of the mapped data dmtype : string common dmtype of object attributes as_literal : boolean, optional (default isTrue) If True, all attribute are set with literal values (@value="...") package : str, optional (default as None) Package name possibly prefixing dmroles """ mapped_roles = MivotUtils._valid_mapped_dmroles(mapping.items(), class_name) pkg = f"{package}." if package else "" for dmrole, column in mapped_roles: # minimal reserved characters escaping if isinstance(column, str): column = column.replace("&", "&") # force column references to be processed as literals if requested if as_literals: column = MivotUtils.as_literal(column) unit, _, _ = MivotUtils.get_field_attributes(table, column) if isinstance(column, bool): r_dmtype = IvoaType.bool else: r_dmtype = dmtype r_dmrole = dmrole.replace(":", f":{pkg}") property_instance.add_attribute(dmtype=r_dmtype, dmrole=r_dmrole, value=column, unit=unit) astropy-pyvo-b70558c/pyvo/mivot/utils/vocabulary.py000066400000000000000000000031531510533647000225670ustar00rootroot00000000000000""" MIVOT vocabulary and regular expressions. """ import re from astropy import units as u from pyvo.utils import prototype_feature class Constant: """ Class used to set constant to identify XML attributes added to the MIVOT ATTRIBUTES """ FIRST_TABLE = "first_table" FIELD_UNIT = "field_unit" COL_INDEX = "col_index" NOT_SET = "NotSet" ANONYMOUS_TABLE = "AnonymousTable" # Regexp pattern to check no valid mapping is present NoMapping = re.compile(r".REPORT\s+status=['\"]KO") unit_mapping = { "deg": u.degree, "rad": u.radian, "hourangle": u.hourangle, "arcsec": u.arcsec, "mas": u.mas, "pc": u.pc, "km": u.km, "m": u.m, "mas/yr": u.mas / u.yr, "mas/y": u.mas / u.yr, "km/s": u.km / u.s, } @prototype_feature('MIVOT') class Ele: """ Constant used to identify MIVOT Element """ namespace = "" VODML = namespace + "VODML" MODEL = namespace + "MODEL" GLOBALS = namespace + "GLOBALS" TEMPLATES = namespace + "TEMPLATES" INSTANCE = namespace + "INSTANCE" ATTRIBUTE = namespace + "ATTRIBUTE" COLLECTION = namespace + "COLLECTION" JOIN = namespace + "JOIN" REFERENCE = namespace + "REFERENCE" WHERE = namespace + "WHERE" NOROLE = "NOROLE" @prototype_feature('MIVOT') class Att: """ Constant used to identify attributes in MIVOT Element """ dmrole = "dmrole" dmtype = "dmtype" dmid = "dmid" name = "name" value = "value" dmref = "dmref" tableref = "tableref" sourceref = "sourceref" ref = "ref" primarykey = "PRIMARY_KEY" foreignkey = "foreignkey" astropy-pyvo-b70558c/pyvo/mivot/utils/xml_utils.py000066400000000000000000000121551510533647000224420ustar00rootroot00000000000000""" Utility class to process XML. """ import re from pyvo.mivot.utils.xpath_utils import XPath import xml.etree.ElementTree as ET from xml.dom import minidom from pyvo.mivot.utils.vocabulary import Constant from pyvo.mivot.utils.vocabulary import Att from pyvo.mivot.utils.exceptions import MivotError class XmlUtils: """ Static class implementing convenient operations on XML """ @staticmethod def pretty_print(xmltree, *, lshift=""): """ Pretty print an XML tree Parameters ---------- xmltree: (~`xml.etree.ElementTree.Element`) XML tree to pretty print lshift : str, optional, default "" Sequence to be inserted at the beginning of each line Usually a space sequence """ print(XmlUtils.pretty_string(xmltree, lshift=lshift)) @staticmethod def pretty_string(xmltree, *, lshift="", clean_namespace=True): """ Return a pretty string representation of an XML tree (as Etree or string) Parameters ---------- xmltree (~`xml.etree.ElementTree.Element`) or string: XML tree to convert to a pretty string lshift : str, optional, default "" Sequence to be inserted at the beginning of each line Usually a space sequence clean_namespace : boolean, optional, default True Default namespace (ns0) removed from element names if True Returns ------- str: The pretty string representation of the XML tree. """ if isinstance(xmltree, str): root = xmltree else: if hasattr(xmltree, 'getroot'): root = ET.tostring(xmltree.getroot(), encoding='unicode') else: root = ET.tostring(xmltree, encoding='unicode') root = root.replace("\n", "") reparsed = minidom.parseString(root) pretty_string = re.sub(r" +\n", "", reparsed.toprettyxml(indent=" ")) pretty_string = pretty_string.replace("\n", "") \ .replace("\n\n", "\n") \ .replace("<", f"{lshift}<") if clean_namespace: return pretty_string.replace("ns0:", "") else: return pretty_string @staticmethod def strip_xml(xml_string): """ Strip unnecessary whitespace and newline characters from an XML string. Used by unit tests to compare xml strings Parameters: - xml_string (str): The XML string to strip. Returns: - str: The stripped XML string. """ return ( xml_string.replace("\n", "").replace(" ", "").replace("'", "").replace('"', "") ) @staticmethod def add_column_indices(mapping_block, index_map): """ Add column ranks to attributes having a ref. Using ranks allows identifying columns even when NumPy arrays have been serialized as []. Parameters ---------- mapping_block : ~`xml.etree.ElementTree.Element` The XML mapping block. index_map : dict A dictionary mapping ref values to column indices. """ for ele in XPath.x_path(mapping_block, ".//ATTRIBUTE"): attr_ref = ele.get(Att.ref) if attr_ref is not None and attr_ref != Constant.NOT_SET: field_desc = None if attr_ref in index_map: field_desc = index_map[attr_ref] else: for _, value in index_map.items(): if value["ID"] == attr_ref: field_desc = value break if not field_desc: if not ele.get(Att.value): raise MivotError( f"Attribute {ele.get(Att.dmrole)} can not be set:" f" references a non existing column: {attr_ref} " f"and has no default value") else: ele.attrib.pop(Att.ref, None) if field_desc: ele.attrib[Constant.COL_INDEX] = str(field_desc["indx"]) if field_desc["ID"] != attr_ref: ele.set(Att.ref, field_desc["ID"]) @staticmethod def add_column_units(mapping_block, unit_map): """ Add field units to attributes having a ref. Used for performing unit conversions. Parameters ---------- mapping_block : ~`xml.etree.ElementTree.Element` The XML mapping block. unit_map : dict A dictionary mapping ref values to units. """ for ele in XPath.x_path(mapping_block, ".//ATTRIBUTE"): ref = ele.get(Att.ref) if ref is not None and ref != Constant.NOT_SET: unit = None if ref in unit_map: unit = unit_map[ref].__str__() else: unit = "" ele.attrib[Constant.FIELD_UNIT] = unit astropy-pyvo-b70558c/pyvo/mivot/utils/xpath_utils.py000066400000000000000000000064121510533647000227650ustar00rootroot00000000000000""" Utility class performing XPath queries on XML trees. """ class XPath: """ Static class use to perform XPath queries on XML trees. """ @staticmethod def x_path(etree, path): """ Return all the elements of the XML tree that match the given XPath query. Parameters ---------- etree : ~`xml.etree.ElementTree.Element` The XML tree to query. path : str The XPath query to perform. Returns ------- list The list of all the elements of the XML tree that match the given XPath query. """ return etree.findall(path) @staticmethod def x_path_contains(etree, path, key, value): """ Return all the elements of the XML tree that match the given XPath query with a given attribute containing a given value. Example of a path: ".//INSTANCE[contains(@dmtype,'dmtype_pattern')]" Parameters ---------- etree : ~`xml.etree.ElementTree.Element` The XML tree to query. path : str The XPath query to perform. key : str The attribute to look for. value : str The value to look for. Returns ------- list The list of all the elements of the XML tree that match the given XPath query with a given attribute containing a given value. """ result = [] xset = etree.findall(path) for ele in xset: if value in ele.get(key): result.append(ele) return result @staticmethod def x_path_startwith(etree, path): """ Return all the elements of the XML tree that match the given XPath query with a given Tag starting with a given value. Example of a path: ".//*[starts-with(name(), 'REFERENCE_')]" This function is only used in the static reference resolver to find all the REFERENCEs and JOINs. It adds a counter to the path to find all the REFERENCEs and JOINs. Parameters ---------- etree : `xml.etree.ElementTree.Element` The XML tree to query. path : str The XPath query to perform. Returns ------- list The list of all the elements of the XML tree that match the given XPath query. """ return {elem for elem in etree.iter() if elem.tag.startswith("REFERENCE_")} @staticmethod def select_elements_by_atttribute(etree, element, attribute, attribute_value): """ Select all xml elements named 'element' having @attribute=attribute_value Parameters ---------- etree : `xml.etree.ElementTree.Element` The XML tree to query. element: str name of the searched elements attribute: str name of the element attribute used for the selection attribute_value: str attribute value of the selected elements Returns ------- list The list of all the elements of the XML tree that match the given XPath query. """ return XPath.x_path(etree, f'.//{element}[@{attribute}="{attribute_value}"]' ) astropy-pyvo-b70558c/pyvo/mivot/version_checker.py000066400000000000000000000006621510533647000224330ustar00rootroot00000000000000from astropy import version as astropy_version def check_astropy_version(): """ Check if the installed version of astropy is compatible with MIVOT. """ if not astropy_version.version: return False if astropy_version.version < "6.0": print(f"Astropy version {astropy_version.version} is below " f"the required version 6.0 for the use of MIVOT.") return False return True astropy-pyvo-b70558c/pyvo/mivot/viewer/000077500000000000000000000000001510533647000202055ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/mivot/viewer/__init__.py000066400000000000000000000002201510533647000223100ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst from .mivot_instance import MivotInstance from .mivot_viewer import MivotViewer astropy-pyvo-b70558c/pyvo/mivot/viewer/mivot_instance.py000066400000000000000000000214671510533647000236130ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ MivotInstance is the root of the Python generated classes. Instances of MivotInstance are built from a dictionary issued from the XML view of the mapped model. This dictionary is used to extend the object with all components (classes, attributes, collections) necessary to reproduce the structure of the mapped model. Instances of this class are built by `pyvo.mivot.viewer.mivot_viewer`. Although attribute values can be changed by users, this class is first meant to provide a convenient access the mapped VOTable data """ from pyvo.utils.prototype import prototype_feature from pyvo.mivot.utils.mivot_utils import MivotUtils from pyvo.mivot.utils.dict_utils import DictUtils from pyvo.mivot.features.sky_coord_builder import SkyCoordBuilder # list of model leaf parameters that must be hidden for the final user hk_parameters = ["ref"] @prototype_feature('MIVOT') class MivotInstance: """ MivotInstance holds the dictionary (__dict__) similar with the mapped model structure where the references have been resolved. The dictionary keeps the hierarchy of the XML : "key" : {not a leaf} means key is the dmtype of an INSTANCE "key" : {leaf} means key is the dmrole of an ATTRIBUTE "key" : "value" means key is an element of ATTRIBUTE "key" : [] means key is the dmtype of a COLLECTION """ def __init__(self, **instance_dict): """ Constructor of the MIVOT class. Parameters ---------- kwargs (dict): Dictionary of the XML object. """ self._create_class(**instance_dict) def __str__(self): """ return a human readable representation of object """ return f"" def __repr__(self): """ return a human readable (json) unambigous representation of object """ return DictUtils._get_pretty_json(self.to_dict()) def to_hk_dict(self): """ return a human readable (dict) representation of object with a few housekeeping data such as column references. This might be used to apply the mapping out of the MivotViewer context """ return self._get_class_dict(self, slim=False) def to_dict(self): """ return a human readable (dict) representation of object """ return self._get_class_dict(self, slim=True) def _create_class(self, **kwargs): """ Recursively initialize the MIVOT class with the dictionary of the XML object got in MivotViewer. For the unit of the ATTRIBUTE, we add the Astropy unit or the Astropy time equivalence by comparing the value of the unit with values in time.TIME_FORMATS.keys() which is the list of time formats. We do the same with the unit_mapping dictionary, which is the list of Astropy units. Parameters ---------- kwargs (dict): Dictionary of the XML object. """ for key, value in kwargs.items(): if isinstance(value, list): # COLLECTION setattr(self, self._remove_model_name(key), []) for item in value: getattr(self, self._remove_model_name(key)).append(MivotInstance(**item)) elif isinstance(value, dict): # INSTANCE if not self._is_leaf(**value): setattr(self, self._remove_model_name(key), MivotInstance(**value)) if self._is_leaf(**value): setattr(self, self._remove_model_name(key), MivotInstance(**value)) else: # ATTRIBUTE if key == 'value': # We cast the value read in the row setattr(self, self._remove_model_name(key), MivotUtils.cast_type_value(value, getattr(self, 'dmtype'))) elif key not in ["dmtype", "dmrole"]: setattr(self, self._remove_model_name(key), self._remove_model_name(value)) else: setattr(self, self._remove_model_name(key), value) if key == 'unit': # We convert the unit to astropy unit or to astropy time format if possible # The first Vizier implementation used mas/year for the mapped pm unit: let's correct it value = value.replace("year", "yr") if value else None def update(self, row, ref=None): """ Update the MIVOT class with the new data row. For each leaf of the MIVOT class, we update the value with the new data row. Parameters ---------- row (astropy.table.row.Row): The new data row. ref (str, optional):The reference of the data row, default is None. """ for key, value in vars(self).items(): if isinstance(value, list): for item in value: item.update(row=row) elif isinstance(value, MivotInstance): if isinstance(vars(value), dict): if 'value' not in vars(value): value.update(row=row) if 'ref' in vars(value): value.update(row=row, ref=getattr(value, 'ref')) else: if key == 'value' and ref is not None and ref != 'null': setattr(self, self._remove_model_name(key), MivotUtils.cast_type_value(row[ref], getattr(self, 'dmtype'))) def get_SkyCoord(self): """ returns ------- - a SkyCoord instance or None """ return SkyCoordBuilder(self).build_sky_coord() @staticmethod def _remove_model_name(value): """ Return the last element of a model path built like model:a.b.c Parameters ---------- value (str): The string to process. """ if value: next_index_underscore = value.rfind(".") return value[next_index_underscore + 1:] return value def _is_leaf(self, **kwargs): """ Check if the dictionary is an ATTRIBUTE. Parameters ---------- **kwargs (dict): The dictionary to check. Returns ------- bool: True if the dictionary is an ATTRIBUTE, False otherwise. """ if isinstance(kwargs, dict): for _, value in kwargs.items(): if isinstance(value, dict): return False return True def _get_class_dict(self, obj, classkey=None, slim=False, with_dmtypes=True): """ Recursively displays a serializable dictionary. This function is only used for debugging purposes. Parameters ---------- obj (dict or object): The dictionary or object to display. classkey (str, optional): The key to use for the object's class name in the dictionary, default is None. slim (bool, optional): if true, only @values and @units (if not empty) are attached to model leaves. @dmtype and @ref attributes are ignored with_dmtypes (boolean, optional) : if true dmtypes are added to the primitive types (model leaves) Returns ------- dict or object The serializable dictionary representation of the input. """ # This case is likely not to occur because MIVOT does not support dictionaries if isinstance(obj, dict): data = {} for (k, v) in obj.items(): data[k] = self._get_class_dict(v, classkey, slim=slim) return data elif hasattr(obj, "_ast"): return self._get_class_dict(obj._ast()) elif hasattr(obj, "__iter__") and not isinstance(obj, str): return [self._get_class_dict(v, classkey, slim=slim) for v in obj] elif hasattr(obj, "__dict__"): data = {key: obj._get_class_dict(value, classkey, slim=slim) for key, value in obj.__dict__.items() if not callable(value) and not key.startswith('_')} # remove the house keeping parameters if slim is True: # data is atomic value (e.g. float): the type be hidden if with_dmtypes is False and ("ref" in data or "value" in data): data.pop("dmtype", None) # remove unit when not set if "unit" in data and not data["unit"]: data.pop("unit", None) for hk_parameter in hk_parameters: data.pop(hk_parameter, None) if classkey is not None and hasattr(obj, "__class__"): data[classkey] = obj.__class__.__name__ return data else: return obj astropy-pyvo-b70558c/pyvo/mivot/viewer/mivot_viewer.py000066400000000000000000000451301510533647000233010ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ MivotViewer implements the user API for accessing mapped data. - extracts the annotation block from the VOTable - builds an XML view of the mapped model - updates the leaves of the XML view with the values read in the data rows - builds Python instances providing access to the mapped values by object attributes. The code below shows a typical use of `MivotViewer .. code-block:: python with MivotViewer(path_to_votable) as mivot_viewer: print(f"mapped class id {mivot_instance.dmtype}") print(f"space frame is {mivot_instance.Coordinate_coordSys.spaceRefFrame.value}") mivot_object = mivot_viewer.dm_instance while mivot_viewer.next_row_view(): print(f"latitude={mivot_object.latitude.value}") print(f"longitude={mivot_object.longitude.value}") See `tests/test_user_api.py`to get different examples of the API usage. """ import logging from copy import deepcopy from astropy import version from astropy.io.votable import parse from astropy.io.votable.tree import VOTableFile from pyvo.dal import DALResults from pyvo.mivot.utils.vocabulary import Ele, Att from pyvo.mivot.utils.vocabulary import Constant, NoMapping from pyvo.mivot.utils.exceptions import (MappingError, MivotError, AstropyVersionException) from pyvo.mivot.utils.xml_utils import XmlUtils from pyvo.mivot.utils.xpath_utils import XPath from pyvo.mivot.seekers.annotation_seeker import AnnotationSeeker from pyvo.mivot.seekers.resource_seeker import ResourceSeeker from pyvo.mivot.seekers.table_iterator import TableIterator from pyvo.mivot.features.static_reference_resolver import StaticReferenceResolver from pyvo.mivot.version_checker import check_astropy_version from pyvo.mivot.viewer.mivot_instance import MivotInstance from pyvo.utils.prototype import prototype_feature from pyvo.mivot.utils.mivot_utils import MivotUtils # Use defusedxml only if already present in order to avoid a new depency. try: from defusedxml import ElementTree as etree except ImportError: from xml.etree import ElementTree as etree @prototype_feature('MIVOT') class MivotViewer: """ MivotViewer is a PyVO table wrapper aiming at providing a model view on VOTable data read with usual tools. """ def __init__(self, votable_path, tableref=None, resolve_ref=False): """ Constructor of the MivotViewer class. Parameters ---------- votable_path : str, DALResults, VOTableFile Reference of the VOTable from which Astropy will extracts the annotation block tableref : str, optional Used to identify the table to process. If not specified, the first table is taken by default. resolve_ref : boolean Ask for references between MIVOT instances to be resolved (referenced instances are copied into the host object). This is usually used to copy the coordinates systems into the object that uses them. Parameters ---------- resolve_ref : bool, optional If True, replace the REFERENCE elements with a copy of the objects they refer to. e.g. copy the space coordinates system, usually located in the GLOBALS block, in the position objects Default is False. """ if not check_astropy_version(): raise AstropyVersionException(f"Astropy version {version.version} " f"is below the required version 6.0 for the use of MIVOT.") if isinstance(votable_path, DALResults): self._parsed_votable = votable_path.votable elif isinstance(votable_path, VOTableFile): self._parsed_votable = votable_path else: self._parsed_votable = parse(votable_path) self._table_iterator = None self._connected_table = None self._connected_tableref = None self._current_data_row = None # when the search object is in GLOBALS self._globals_instance = None self._last_row = None self._templates = None self._resource = None self._annotation_seeker = None self._mapping_block = None self._mapped_tables = [] self._resource_seeker = None self._dm_instances = [] self._dm_globals_instances = [] self._resolve_ref = resolve_ref try: self._set_resource() self._set_mapping_block() self._resource_seeker = ResourceSeeker(self._resource) self._set_mapped_tables() self._connect_table(tableref) self._init_instances() self._init_globals_instances() except MappingError as mnf: logging.error(str(mnf)) def __enter__(self): """ with statement implementation """ return self def __exit__(self, exc_type, exc_value, traceback): """ with statement implementation """ logging.info("MivotViewer closing..") def close(self): """ with statement implementation """ logging.info("MivotViewer is closed") @property def votable(self): """ returns the Astropy parsed votable """ return self._parsed_votable @property def annotation_seeker(self): """ Return an API to search various components in the XML mapping block. """ return self._annotation_seeker @property def resource_seeker(self): """ Return an API to search various components in the VOTabel resource. """ return self._resource_seeker @property def connected_table(self): """ getter for the identifier the astropy.table instance the viewer is connected to """ return self._connected_table @property def connected_table_ref(self): """ getter for the identifier the table the viewer is connected to """ return self._connected_tableref @property def dm_instance(self): """ returns ------- MivotInstance: The Python object (MivotInstance) built from the XML view of the first 'TEMPLATES' child, with the attribute values set according to the values of the current read data row. """ dm_instances = self._dm_instances return self.dm_instances[0] if dm_instances else None @property def dm_instances(self): """ Returns ------- [MivotInstance]: The list of Python objects (MivotInstance) built from the XML views of the TEMPLATES children, whose attribute values are set from the values of the current read data row. """ return self._dm_instances @property def dm_globals_instances(self): """ Returns ------- [MivotInstance]: The list of Python objects (MivotInstance) built from the XML views of the GLOBALS children, whose attribute values are set from the values of the current read data row. This method allows to retrieve the GLOBALS (coordinates systems usually) even when the viewer is in ``resolve_ref=False`` mode or if the reference to the coordinates systems have not been setup in the objects representing the mapped data. """ return self._dm_globals_instances @property def table_row(self): """ getter for the current astropy.table.array row """ return self._current_data_row def next_row_view(self): """ jump to the next table row and update the MivotInstance instance with the row values Returns ------- [MivotInstance] List of updated instances or None it he able end has been reached """ self.next_table_row() if self._current_data_row is None: return None self._init_instances() for dm_instance in self._dm_instances: dm_instance.update(self._current_data_row) return self._dm_instances def get_table_ids(self): """ Return a list of the table located just below self._resource. """ if self.resource_seeker is None: return None return self.resource_seeker.get_table_ids() def get_models(self): """ Get a dictionary of models and their URLs. Returns ------- dict: Model names and a lists of their URLs. The format is {'model': [url], ...}. """ if self._annotation_seeker is None: return None return self._annotation_seeker.get_models() def next_table_row(self): """ Iterate once on the table row Returns: numpy row: the current table row of None if the end of the table has been reached """ if self._table_iterator is None: return None self._current_data_row = self._table_iterator.get_next_row() return self._current_data_row def rewind(self): """ Rewind the table iterator on the table the veizer is connected with. """ if self._table_iterator: self._table_iterator.rewind() def _get_templates_child_instances(self, tableref=None): """ Returns ------- [`xml.etree.ElementTree.Element`] List of all INSTANCES elements children of the current TEMPLATES block """ if self._annotation_seeker is None: return None templates_block = self._annotation_seeker.get_templates_block(tableref) return XPath.x_path(templates_block, ".//" + Ele.INSTANCE) def get_dm_instance_dmtypes(self, tableref): """ Return the dmtypes of the INSTANCEs children of the TEMPLATES block mapping the data table identified by tableref. Parameters ---------- tableref : str or None Identifier of the data table. Returns ------- [string] list of dmtypes Raises ------ MivotError if no INSTANCE can be found """ dmtypes = [] templates_block = self._annotation_seeker.get_templates_block(tableref) instances = XPath.x_path(templates_block, ".//" + Ele.INSTANCE) for instance in instances: dmtypes.append(instance.get(Att.dmtype)) if not dmtypes: raise MivotError("Can't find " + Ele.INSTANCE + " in " + Ele.TEMPLATES) return dmtypes def _connect_table(self, tableref=None): """ Iterate over the table identified by tableref. Required to browse table data. Connect to the first table if tableref is None. Parameters ---------- tableref : str or None, optional Identifier of the table. If None, connects to the first table. """ if not self._resource_seeker: raise MappingError("No mapping block found") stableref = tableref if tableref is None: stableref = "" self._connected_tableref = Constant.FIRST_TABLE logging.debug("Since " + Ele.TEMPLATES + "@table_ref is None, " "the mapping will be applied to the first table." ) elif tableref not in self._mapped_tables: raise MappingError(f"The table {self._connected_tableref} doesn't match with any " f"mapped_table ({self._mapped_tables}) encountered in " + Ele.TEMPLATES ) else: self._connected_tableref = tableref self._connected_table = self._resource_seeker.get_table(tableref) if self.connected_table is None: raise MivotError(f"Cannot find table {stableref} in VOTable") logging.debug("table %s found in VOTable", stableref) self._templates = deepcopy(self.annotation_seeker.get_templates_block(tableref)) if self._templates is None: raise MivotError("Cannot find " + Ele.TEMPLATES + f" {stableref} ") logging.debug(Ele.TEMPLATES + " %s found ", stableref) self._table_iterator = TableIterator(self._connected_tableref, self.connected_table.to_table()) self._squash_join_and_references() self._set_column_indices() self._set_column_units() def _get_model_view(self, xml_instance): """ Return an XML model view of the last read row. - References are possibly resolved here. - ``ATTRIBUTE@value`` are set with actual data row values Returns ------- `xml.etree.ElementTree.Element` XML model view of the last read row. """ templates_copy = deepcopy(xml_instance) if self._resolve_ref is True: while StaticReferenceResolver.resolve(self._annotation_seeker, self._connected_tableref, templates_copy) > 0: pass # Make sure the instances of the resolved references # have both indexes and unit attribute XmlUtils.add_column_indices(templates_copy, self._resource_seeker .get_id_index_mapping(self._connected_tableref)) XmlUtils.add_column_units(templates_copy, self._resource_seeker .get_id_unit_mapping(self._connected_tableref)) for ele in XPath.x_path(templates_copy, ".//ATTRIBUTE"): ref = ele.get(Att.ref) if ref is not None and ref != Constant.NOT_SET and Constant.COL_INDEX in ele.attrib: index = ele.attrib[Constant.COL_INDEX] ele.attrib[Att.value] = str(self._current_data_row[int(index)]) return templates_copy def _init_instances(self): """ Read the first table row and build all MivotInstances (_dm_instances attribute) from it. The table row iterator in rewind at the end to make sure we won't lost the first data row. """ if not self._dm_instances: self.next_table_row() xml_instances = self._get_templates_child_instances(self.connected_table_ref) self._dm_instances = [] for xml_instance in xml_instances: self._dm_instances.append( MivotInstance( **MivotUtils.xml_to_dict(self._get_model_view(xml_instance)) )) self.rewind() def _init_globals_instances(self): """ Build one MivotInstance for each GLOBALS/INSTANCE. Internal references are always resolved Globals MivotInstance are stored in the _dm_globals_instances list """ if not self._dm_globals_instances: globals_copy = deepcopy(self._annotation_seeker.globals_block) while StaticReferenceResolver.resolve(self._annotation_seeker, None, globals_copy) > 0: pass for ele in XPath.x_path(globals_copy, "./" + Ele.INSTANCE): self._dm_globals_instances.append( MivotInstance( **MivotUtils.xml_to_dict(ele) )) def _set_mapped_tables(self): """ Set the _mapped_tables list with the TEMPLATES tablerefs. """ if not self.resource_seeker: self._mapped_tables = [] else: self._mapped_tables = self._annotation_seeker.get_templates() def _set_resource(self): """ select the first resource with @type=results The annotations, if there are, are supposed to be there. The case of multiple 'results' annotated is not taken into account yest """ if len(self._parsed_votable.resources) < 1: raise MivotError("No resource detected in the VOTable") rnb = 0 for res in self._parsed_votable.resources: if res.type.lower() == "results": logging.info("Resource %s selected", rnb) self._resource = self._parsed_votable.resources[rnb] return rnb += 1 raise MivotError("No resource @type='results'detected in the VOTable") def _set_mapping_block(self): """ Set the mapping block found in the resource and set the annotation_seeker """ if NoMapping.search(self._resource.mivot_block.content): raise MappingError("Mivot block is not found") # The namespace should be removed self._mapping_block = ( etree.fromstring(self._resource.mivot_block.content .replace('xmlns="http://www.ivoa.net/xml/mivot"', '') .replace("xmlns='http://www.ivoa.net/xml/mivot'", ''))) self._annotation_seeker = AnnotationSeeker(self._mapping_block) logging.info("Mapping block found") def _squash_join_and_references(self): """ Remove both JOINs and REFERENCEs from the templates and store them in to be resolved later on. This prevents the model view of being polluted with elements that are not in the model """ for ele in XPath.x_path_startwith(self._templates, ".//REFERENCE_"): if ele.get("sourceref") is not None: self._dyn_references = {ele.tag: deepcopy(ele)} for child in list(ele): ele.remove(child) for ele in XPath.x_path_startwith(self._templates, ".//JOIN_"): self._joins = {ele.tag: deepcopy(ele)} for child in list(ele): ele.remove(child) def _set_column_indices(self): """ Add column ranks to attribute having a ref. Using ranks allow identifying columns even when numpy raw have been serialised as [] """ index_map = self._resource_seeker.get_id_index_mapping(self._connected_tableref) XmlUtils.add_column_indices(self._templates, index_map) def _set_column_units(self): """ Add field unit to attribute having a ref. Used for performing unit conversions """ unit_map = self._resource_seeker.get_id_unit_mapping(self._connected_tableref) XmlUtils.add_column_units(self._templates, unit_map) astropy-pyvo-b70558c/pyvo/mivot/writer/000077500000000000000000000000001510533647000202205ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/mivot/writer/__init__.py000066400000000000000000000004351510533647000223330ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst from .annotations import MivotAnnotations from .instance import MivotInstance from .instances_from_models import InstancesFromModels from .header_mapper import HeaderMapper from .mango_object import MangoObject, Property astropy-pyvo-b70558c/pyvo/mivot/writer/annotations.py000066400000000000000000000303001510533647000231230ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ MivotAnnotations: A utility module to build and manage MIVOT annotations. """ import os import logging try: import xmlschema except ImportError: xmlschema = None # Use defusedxml only if already present in order to avoid a new dependency. try: from defusedxml import ElementTree as etree except ImportError: from xml.etree import ElementTree as etree from astropy.io.votable.tree import VOTableFile, Resource try: from astropy.io.votable.tree import MivotBlock except ImportError: pass from astropy.io.votable import parse from astropy import version from pyvo.utils.prototype import prototype_feature from pyvo.mivot.utils.xml_utils import XmlUtils from pyvo.mivot.utils.exceptions import MappingError, AstropyVersionException from pyvo.mivot.writer.instance import MivotInstance from pyvo.mivot.version_checker import check_astropy_version __all__ = ["MivotAnnotations"] @prototype_feature("MIVOT") class MivotAnnotations: """ This module provides a class to construct, validate, and insert MIVOT blocks into VOTable files. The MIVOT block, represented as an XML structure, is used for data model annotations in the IVOA ecosystem. The main features are: - Construct the MIVOT block step-by-step with various components. - Validate the MIVOT block against the MIVOT XML schema (if ``xmlschema`` is installed). - Embed the MIVOT block into an existing VOTable file. The MIVOT block is constructed as a string to maintain compatibility with the Astropy API. Attributes ---------- suggested_space_frames: string array, class attribute A warning is emitted if a frame not in this list is used to build a space frame. This list matches https://www.ivoa.net/rdf/refframe/2022-02-22/refframe.html. suggested_ref_positions: string array, class attribute A warning is emitted if a reference position not in this list is used to build a space or a time frame. suggested_time_frames: string array, class attribute A warning is emitted if a frame not in this list is used to build a space frame. This list matches https://www.ivoa.net/rdf/timescale/2019-03-15/timescale.html. """ def __init__(self): """ """ # Dictionary containing models with their names as keys and URLs as values self._models = {} # str: Indicates the success status of the annotation process.s self._report_status = True # str: message associated with the report, used in the REPORT block. self._report_message = "Generated by pyvo.mivot.writer" # list(str or MivotInstance): GLOBALS blocks to be included in the MIVOT block. self._globals = [] # list(str or MivotInstance): TEMPLATES blocks to be included in the MIVOT block. self._templates = [] # str: An optional ID for the TEMPLATES block. self._templates_id = "" # str: list of the dmid of the INSTANCE stored in the GLOBALS self._dmids = [] # str: Complete MIVOT block as a string self._mivot_block = "" @property def mivot_block(self): """ Getter for the whole MIVOT block. Returns ------- str Complete MIVOT block as a string. """ return self._mivot_block def _get_report(self): """ Generate the component of the MIVOT block. Returns ------- str The block as a string, indicating the success or failure of the process. """ if self._report_status: return f'{self._report_message}' else: return f'{self._report_message}' def _get_models(self): """ Generate the components of the MIVOT block. Returns ------- str The components as a formatted string. """ models_block = "" for key, value in self._models.items(): if value: models_block += f'\n' else: models_block += f'\n' return models_block def _get_globals(self): """ Generate the component of the MIVOT block. Returns ------- str The block as a formatted string. """ globals_block = "\n" for glob in self._globals: globals_block += f"{glob}\n" globals_block += "\n" return globals_block def _get_templates(self): """ Generate the component of the MIVOT block. Returns ------- str The block as a formatted string, or an empty string if no templates are defined. """ if not self._templates: return "" if not self._templates_id: templates_block = "\n" else: templates_block = f'\n' for templates in self._templates: templates_block += f"{templates}\n" templates_block += "\n" return templates_block def build_mivot_block(self, *, templates_id=None, schema_check=True): """ Build a complete MIVOT block from the declared components and validates it against the MIVOT XML schema. Parameters ---------- templates_id : str, optional The ID to associate with the block. Defaults to None. schema_check : boolean, optional (default True) Skip the XSD validation if False (use to make test working in local mode). Raises ------ Any exceptions raised during XML validation are not caught and must be handled by the caller. """ if templates_id: self._templates_id = templates_id self._mivot_block = '\n' self._mivot_block += self._get_report() self._mivot_block += "\n" self._mivot_block += self._get_models() self._mivot_block += "\n" self._mivot_block += self._get_globals() self._mivot_block += "\n" self._mivot_block += self._get_templates() self._mivot_block += "\n" self._mivot_block += "\n" self._mivot_block = self.mivot_block.replace("\n\n", "\n") self._mivot_block = XmlUtils.pretty_string(self._mivot_block) if schema_check: self.check_xml() def add_templates(self, templates_instance): """ Add an element to the block. Parameters ---------- templates_instance : str or MivotInstance The element to be added. Raises ------ MappingError If ``templates_instance`` is neither a string nor an instance of `MivotInstance`. """ if isinstance(templates_instance, MivotInstance): self._templates.append(templates_instance.xml_string()) if templates_instance.dmid is not None: self._dmids.append(templates_instance.dmid) elif isinstance(templates_instance, str): self._templates.append(templates_instance) else: raise MappingError( "Instance added to templates must be a string or MivotInstance." ) def add_globals(self, globals_instance): """ Add an block to the block. Parameters ---------- globals_instance : str or MivotInstance The block to be added. Raises ------ MappingError If ``globals_instance`` is neither a string nor an instance of `MivotInstance`. """ if isinstance(globals_instance, MivotInstance): self._globals.append(globals_instance.xml_string()) if globals_instance.dmid is not None: self._dmids.append(globals_instance.dmid) elif isinstance(globals_instance, str): self._globals.append(globals_instance) else: raise MappingError( "Instance added to globals must be a string or MivotInstance." ) def add_model(self, model_name, *, vodml_url=None): """ Add a element to the MIVOT block. Parameters ---------- model_name : str The short name of the model. vodml_url : str, optional The URL of the VO-DML file associated with the model. """ self._models[model_name] = vodml_url def set_report(self, status, message): """ Set the element of the MIVOT block. Parameters ---------- status : bool The status of the annotation process. True for success, False for failure. message : str The message associated with the REPORT. Notes ----- If ``status`` is False, all components of the MIVOT block except MODEL and REPORT are cleared. """ self._report_status = status self._report_message = message if not status: self._globals = [] self._templates = [] def check_xml(self): """ Validate the MIVOT block against the MIVOT XML schema v1.0. Raises ------ MappingError If the validation fails. Notes ----- The schema (mivot 1.0) is loaded from a local file to avoid dependency on a remote service. """ # put here just to improve the test coverage root = etree.fromstring(self._mivot_block) mivot_block = XmlUtils.pretty_string(root, clean_namespace=False) if not xmlschema: logging.warning( "XML validation skipped: no XML schema validator found. " + "Please install it (e.g., pip install xmlschema)." ) return schema = xmlschema.XMLSchema11(os.path.dirname(__file__) + "/mivot-v1.xsd") try: schema.validate(mivot_block) except Exception as excep: raise MappingError(f"Validation failed: {excep}") from excep def insert_into_votable(self, votable_file, override=False): """ Insert the MIVOT block into a VOTable. Parameters ---------- votable_file : str or VOTableFile The VOTable to be annotated, either as a file path or a ``VOTableFile`` instance. override : bool If True, overrides any existing annotations in the VOTable. Raises ------ MappingError If a mapping block already exists and ``override`` is False. """ if not check_astropy_version(): raise AstropyVersionException(f"Astropy version {version.version} " "is below the required version 6.0 for the use of MIVOT.") if isinstance(votable_file, str): votable = parse(votable_file) elif isinstance(votable_file, VOTableFile): votable = votable_file else: raise MappingError( "votable_file must be a file path string or a VOTableFile instance, " "not a {type(votable_file)}." ) for resource in votable.resources: if resource.type == "results": for subresource in resource.resources: if subresource.type == "meta": if not override: raise MappingError( "A type='meta' resource already exists in the first 'result' resource." ) else: logging.info("Overriding existing type='meta' resource.") break mivot_resource = Resource() mivot_resource.type = "meta" mivot_resource.mivot_block = MivotBlock(self._mivot_block) resource.resources.append(mivot_resource) astropy-pyvo-b70558c/pyvo/mivot/writer/header_mapper.py000066400000000000000000000276201510533647000233750ustar00rootroot00000000000000""" ``HeaderMapper`` class source """ import logging from pyvo.mivot.glossary import Roles, EpochPositionAutoMapping from pyvo.mivot.utils.dict_utils import DictUtils class HeaderMapper: """ This utility class generates dictionaries from header elements of a VOTable. These dictionaries are used as input parameters by `pyvo.mivot.writer.InstancesFromModels` to create MIVOT instances that are placed in the GLOBALS block or in the TEMPLATES. In the current implementation, the following elements can be extracted: - COOSYS -> coords:SpaceSys - TIMESYS - coords:TimeSys - INFO -> mango:QueryOrigin - FIELD -> mango:EpochPosition """ def __init__(self, votable): """ Constructor parameters: Parameters ---------- votable : astropy.io.votable.tree.VOTableFile parsed votable from which INFO element are processed """ self._votable = votable def _check_votable_head_element(self, parameter): """ Check that the parameter is a valid value. .. note:: Vizier uses the ``UNKNOWN`` word to tag not set values """ return parameter is not None and parameter != "UNKNOWN" def _extract_query_origin(self): """ Create a mapping dictionary from ``INFO`` elements found in the VOTable header. This dictionary is used to populate the ``mango:QueryOrigin`` attributes Returns ------- dict Dictionary that is part of the input parameter for :py:meth:`pyvo.mivot.writer.InstancesFromModels.add_query_origin` """ mapping = {} for info in self._votable.infos: if info.name in Roles.QueryOrigin: mapping[info.name] = info.value return mapping def _extract_data_origin(self, resource): """ Create a mapping dictionary from ``INFO`` elements found in the header of the first VOTable resource. This dictionary is used to populate the ``mango:QueryOrigin`` part of the ``mango:QueryOrigin`` instance. Returns ------- dict Dictionary that is part of the input parameter for :py:meth:`pyvo.mivot.writer.InstancesFromModels.add_query_origin` """ mapping = {} article = None for info in resource.infos: if info.name in Roles.DataOrigin or info.name == "creator": if DictUtils.add_array_element(mapping, "dataOrigin"): article = {} if info.name != "creator": article[info.name] = info.value else: DictUtils.add_array_element(article, "creators") article["creators"].append(info.value) for info in resource.infos: art_ref = {} if info.name in Roles.Article: DictUtils.add_array_element(article, "articles") art_ref[info.name] = info.value if art_ref: article["articles"].append(art_ref) mapping["dataOrigin"].append(article) return mapping def extract_origin_mapping(self): """ Create a mapping dictionary from all VOTable ``INFO`` elements. This dictionary is used to build a ``mango:QueryOrigin`` INSTANCE - INFO elements located in the VOTable header are used to build the ``mango:QueryOrigin`` part which scope is the whole VOtable by construction (one query -> one VOTable) - INFO elements located in the resource header are used to build the ``mango:DataOrigin`` part which scope is the data located in this resource. Returns ------- dict Dictionary that can be used as input parameter for :py:meth:`pyvo.mivot.writer.InstancesFromModels.add_query_origin` """ mapping = self._extract_query_origin() for resource in self._votable.resources: mapping = {**mapping, **self._extract_data_origin(resource)} return mapping def extract_coosys_mapping(self): """ Create a mapping dictionary for each ``COOSYS`` element found in the first VOTable resource. Returns ------- [dict] Array of dictionaries which items can be used as input parameter for :py:meth:`pyvo.mivot.writer.InstancesFromModels.add_simple_space_frame` """ mappings = [] for resource in self._votable.resources: for coordinate_system in resource.coordinate_systems: mapping = {} if not self._check_votable_head_element(coordinate_system.system): logging.warning(f"Not valid COOSYS found: ignored in MIVOT: {coordinate_system}") continue mapping["spaceRefFrame"] = coordinate_system.system if self._check_votable_head_element(coordinate_system.equinox): mapping["equinox"] = coordinate_system.equinox if self._check_votable_head_element(coordinate_system.epoch): mapping["epoch"] = coordinate_system.epoch mappings.append(mapping) return mappings def extract_timesys_mapping(self): """ Create a mapping dictionary for each ``TIMESYS`` element found in the first VOTable resource. .. note:: the ``origin`` attribute is not supported yet Returns ------- [dict] Array of dictionaries which items can be used as input parameter for :py:meth:`pyvo.mivot.writer.InstancesFromModels.add_simple_time_frame` """ mappings = [] for resource in self._votable.resources: for time_system in resource.time_systems: mapping = {} if not self._check_votable_head_element(time_system.timescale): logging.warning(f"Not valid TIMESYS found: ignored in MIVOT: {time_system}") continue mapping["timescale"] = time_system.timescale if self._check_votable_head_element(time_system.refposition): mapping["refPosition"] = time_system.refposition mappings.append(mapping) return mappings def extract_epochposition_mapping(self): """ Analyze the FIELD UCD-s to infer a data mapping to the EpochPosition class. This mapping covers the 6 parameters with the Epoch and their errors. The correlation part is not covered since there is no specific UCD for this. The UCD-s accepted for each parameter are defined in `pyvo.mivot.glossary`. The error classes are hard-coded as the most likely types. - PErrorSym2D for 2D parameters - PErrorSym1D for 1D parameters Returns ------- (dict, dict) A mapping proposal for the EpochPosiion + errors that can be used as input parameter by :py:meth:`pyvo.mivot.writer.InstancesFromModels.add_mango_epoch_position`. """ def _check_ucd(mapping_entry, ucd, mapping): """ Inner function checking that mapping_entry matches with ucd according to `pyvo.mivot.glossary` """ if mapping_entry in mapping: return False dict_entry = getattr(EpochPositionAutoMapping, mapping_entry) if isinstance(dict_entry, list): return ucd in dict_entry else: return ucd and ucd.startswith(dict_entry) def _check_obs_date(field): """ check if the field can be interpreted as a value date time This algorithm is a bit specific for Vizier CS """ xtype = field.xtype unit = field.unit representation = None if xtype == "timestamp" or unit == "'Y:M:D'" or unit == "'Y-M-D'": representation = "iso" # let's assume that dates expressed as days are MJD elif xtype == "mjd" or unit == "d": representation = "mjd" if representation is None and unit == "year": representation = "year" if representation is not None: field_ref = field.ID if field.ID is not None else field.name return {"dateTime": field_ref, "representation": representation} return None table = self._votable.get_first_table() fields = table.fields mapping = {} error_mapping = {} for field in fields: ucd = field.ucd for mapping_entry in Roles.EpochPosition: if _check_ucd(mapping_entry, ucd, mapping) is True: if mapping_entry == "obsDate": if (obs_date_mapping := _check_obs_date(field)) is not None: mapping[mapping_entry] = obs_date_mapping else: mapping[mapping_entry] = field.ID if field.ID is not None else field.name # Once we got a parameter mapping, we look for its associated error # This nested loop makes sure we never have error without value for err_field in fields: err_ucd = err_field.ucd # We assume the error UCDs are the same the these of the # related quantities but prefixed with "stat.error;" and without "meta.main" qualifier if err_ucd == ("stat.error;" + ucd.replace(";meta.main", "")): param_mapping = err_field.ID if err_field.ID is not None else err_field.name if mapping_entry == "parallax": error_mapping[mapping_entry] = {"class": "PErrorSym1D", "sigma": param_mapping} elif mapping_entry == "radialVelocity": error_mapping[mapping_entry] = {"class": "PErrorSym1D", "sigma": param_mapping} elif mapping_entry == "longitude": if "position" in error_mapping: error_mapping["position"]["sigma1"] = param_mapping else: error_mapping["position"] = {"class": "PErrorSym2D", "sigma1": param_mapping} elif mapping_entry == "latitude": if "position" in error_mapping: error_mapping["position"]["sigma2"] = param_mapping else: error_mapping["position"] = {"class": "PErrorSym2D", "sigma2": param_mapping} elif mapping_entry == "pmLongitude": if "properMotion" in error_mapping: error_mapping["properMotion"]["sigma1"] = param_mapping else: error_mapping["properMotion"] = {"class": "PErrorSym2D", "sigma1": param_mapping} elif mapping_entry == "pmLatitude": if "properMotion" in error_mapping: error_mapping["properMotion"]["sigma2"] = param_mapping else: error_mapping["properMotion"] = {"class": "PErrorSym2D", "sigma2": param_mapping} return mapping, error_mapping astropy-pyvo-b70558c/pyvo/mivot/writer/instance.py000066400000000000000000000141501510533647000223770ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ MivotInstance is a simple API for building MIVOT instances step by step. A MIVOT instance is a MIVOT serialisation of an object whose attributes are set with column values or literals. A MIVOT instance can contain ATTRIBUTEs elements, COLLECTIONs of elements, or other INSTANCEs. The MIVOT INSTANCE structure is defined by the data model on which the data is mapped. """ from pyvo.utils.prototype import prototype_feature from pyvo.mivot.utils.exceptions import MappingError from pyvo.mivot.utils.mivot_utils import MivotUtils __all__ = ["MivotInstance"] @prototype_feature("MIVOT") class MivotInstance: """ API for building elements of MIVOT annotation step by step. This class provides methods for incremental construction of a MIVOT instance. It builds elements that can contain , , and . Support for elements is not yet implemented. The main features are: - Model-agnostic: The implementation is independent of any specific data model. - Syntax validation: Ensures basic MIVOT syntax rules are followed. - Context-agnostic: Ignores context-dependent syntax rules. attributes ---------- _dmtype : string Instance type (class VO-DML ID) _dmrole : string Role played by the instance in the context where it is used (given by the VO-DML serialization of the model) _dmid : string Free identifier of the instance """ def __init__(self, dmtype, *, dmrole=None, dmid=None): """ Parameters ---------- dmtype : str dmtype of the INSTANCE (mandatory) dmrole : str, optional dmrole of the INSTANCE dmid : str, optional dmid of the INSTANCE Raises ------ MappingError If ``dmtype`` is not provided """ if not dmtype: raise MappingError("Cannot build an instance without dmtype") self._dmtype = dmtype self._dmrole = dmrole self._dmid = MivotUtils.format_dmid(dmid) self._content = [] @property def dmid(self): return self._dmid def add_attribute(self, dmtype=None, dmrole=None, *, value=None, unit=None): """ Add an element to the instance. Parameters ---------- dmtype : str dmtype of the ATTRIBUTE (mandatory) dmrole : str dmrole of the ATTRIBUTE (mandatory) value : str or numerical, optional ID of the column to set the attribute value. If ref is a string starting with a * or is numerical, it is considered as a value (* stripped) as a ref otherwise unit : str, optional Unit of the attribute Raises ------ MappingError If ``dmtype`` or ``dmrole`` is not provided, or if both ``ref`` and ``value`` are not defined """ if not dmtype: raise MappingError("Cannot add an attribute without dmtype") if not dmrole: raise MappingError("Cannot add an attribute without dmrole") ref, literal = MivotUtils.get_ref_or_literal(value) if not ref and not value: raise MappingError("Cannot add an attribute without ref or value") xml_string = f' element to the instance. Parameters ---------- dmrole : str dmrole of the REFERENCE (mandatory) dmref : str dmref of the REFERENCE (mandatory) Raises ------ MappingError If ``dmrole`` or ``dmref`` is not provided """ if not dmref: raise MappingError("Cannot add a reference without dmref") if not dmrole: raise MappingError("Cannot add a reference without dmrole") xml_string = f'' self._content.append(xml_string) def add_instance(self, mivot_instance): """ Add a nested element to the instance. Parameters ---------- mivot_instance : MivotInstance INSTANCE to be added Raises ------ MappingError If ``mivot_instance`` is not of type ``MivotInstance`` """ if not isinstance(mivot_instance, MivotInstance): raise MappingError("Instance added must be of type MivotInstance") self._content.append(mivot_instance.xml_string()) def add_collection(self, dmrole, mivot_instances): """ to be documented """ dm_att = "" if dmrole: dm_att = f"dmrole=\"{dmrole}\"" self._content.append(f'') for mivot_instance in mivot_instances: if isinstance(mivot_instance, MivotInstance): self._content.append(mivot_instance.xml_string()) else: self._content.append(mivot_instance) self._content.append("\n") self._content.append("") def xml_string(self): """ Build and serialize the element as a string. Returns ------- str The string representation of the element """ xml_string = f'" in fps_reponse: message = re.search(r'(.*)', fps_reponse).group(1) raise MappingError(f"FPS service error: {message}") # set the identifiers that will be used for both PhotCal and PhotFilter cal_id = MivotUtils.format_dmid(filter_name) photcal_id = f"_photcal_{cal_id}" filter_id = f"_photfilter_{cal_id}" # skip if the same dmid is already recorded if cal_id in self._annotation._dmids: logging.warning("An instance with dmid=%s has already been stored in GLOBALS: skip", cal_id) return photcal_id, filter_id self._annotation._dmids.append(cal_id) logging.info("%s PhotCal can be referred with dmref='%s'", cal_id, photcal_id) # parse the PhotCal and extract the PhotFilter node photcal_block = etree.fromstring(fps_reponse) filter_block = XPath.x_path_contains(photcal_block, ".//" + Ele.INSTANCE, Att.dmtype, "Phot:photometryFilter")[0] # Tune the Photcal to be placed as a GLOBALS child (no role but an id) # and remove the PhotFilter node which will be shifted at the GLOBALS level del photcal_block.attrib["dmrole"] photcal_block.set("dmid", photcal_id) photcal_block.remove(filter_block) # Tune the PhotFilter to be placed as GLOBALS child (no role but an id) filter_role = filter_block.get("dmrole") del filter_block.attrib["dmrole"] filter_block.set("dmid", filter_id) # Append a REFERENCE on the PhotFilter node to the PhotCal block reference = Element("REFERENCE") reference.set("dmrole", filter_role) reference.set("dmref", filter_id) photcal_block.append(reference) self._annotation.add_model("ivoa", vodml_url=VodmlUrl.ivoa) self._annotation.add_model("Phot", vodml_url=VodmlUrl.Phot) # fix some FPS tweaks photcal_block_string = XmlUtils.pretty_string(photcal_block, lshift=" ") photcal_block_string = photcal_block_string.replace( "", "") filter_block_string = XmlUtils.pretty_string(filter_block, lshift=" ") filter_block_string = filter_block_string.replace("Phot:photometryFilter", "Phot:PhotometryFilter") filter_block_string = filter_block_string.replace("Phot:PhotCal.photometryFilter.bandwidth", "Phot:PhotometryFilter.bandwidth") self._annotation.add_globals(photcal_block_string) self._annotation.add_globals(filter_block_string) return photcal_id, filter_id def add_simple_space_frame(self, spaceRefFrame="ICRS", refPosition="BARYCENTER", equinox=None, epoch=None): """ Adds a SpaceSys instance to the GLOBALS block as defined in the Coordinates data model V1.0 (https://ivoa.net/documents/Coords/20221004/index.html). Notes: - This function implements only the most commonly used features. Custom reference positions for TOPOCENTER frames are not supported. However, methods for implementing the missing features can be derived from this code. - A warning is emitted if either ``spaceRefFrame`` or ``refPosition`` have unexpected values. - No error is raised if the parameter values are inconsistent. - The ``dmid`` of the time frame is built from ``spaceRefFrame``, ``refrefPosition_position`` and ``equinox``. Parameters ---------- spaceRefFrame : str, optional, default "ICRS" The reference frame for the space frame. refPosition : str, optional, default "BARYCENTER" The reference position for the space frame. equinox : str, optional, default None The equinox for the reference frame, if applicable. epoch : str, optional, default None The epoch for the reference location, if applicable. Returns ------- str The actual dmid of the time frame INSTANCE """ # build the dmid dmid = f"_spaceframe_{spaceRefFrame.replace('*', '')}" if equinox: dmid += f"_{equinox.replace('*', '')}" if refPosition: dmid += f"_{refPosition.replace('*', '')}" # skip if the same dmid is already recorded if dmid in self._annotation._dmids: logging.warning("A spaceSys instance with dmid=%s has already been stored in GLOBALS: skip", dmid) return dmid logging.info("spaceSys %s can be referred with dmref='%s'", spaceRefFrame, dmid) self._annotation._dmids.append(dmid) # add (or overwrite) used models self._annotation.add_model(ModelPrefix.ivoa, vodml_url=VodmlUrl.ivoa) self._annotation.add_model(ModelPrefix.coords, vodml_url=VodmlUrl.coords) # check whether ref_frame and ref_position are set with appropriate values self._check_value_consistency(spaceRefFrame, CoordSystems.space_frames) self._check_value_consistency(refPosition, CoordSystems.ref_positions) # Build the SpaceSys instance component by component space_system_instance = MivotInstance(dmtype=f"{ModelPrefix.coords}:SpaceSys", dmid=dmid) # let's start with the space frame space_frame_instance = MivotInstance(dmtype=f"{ModelPrefix.coords}:SpaceFrame", dmrole=f"{ModelPrefix.coords}:PhysicalCoordSys.frame") space_frame_instance.add_attribute(dmtype=IvoaType.string, dmrole=f"{ModelPrefix.coords}:SpaceFrame.spaceRefFrame", value=MivotUtils.as_literal(spaceRefFrame)) if equinox is not None: space_frame_instance.add_attribute(dmtype=f"{ModelPrefix.coords}:Epoch", dmrole=f"{ModelPrefix.coords}:SpaceFrame.equinox", value=MivotUtils.as_literal(equinox)) # then let's build the reference position. # The RefLocation type depends on the presence of an epoch (see coords DM) if epoch is not None: ref_position_instance = MivotInstance(dmtype=f"{ModelPrefix.coords}:CustomRefLocation", dmrole=f"{ModelPrefix.coords}:SpaceFrame.refPosition") ref_position_instance.add_attribute(dmtype=IvoaType.string, dmrole=f"{ModelPrefix.coords}:CustomRefLocation.position", value=MivotUtils.as_literal(refPosition)) ref_position_instance.add_attribute(dmtype="coords:Epoch", dmrole=f"{ModelPrefix.coords}:CustomRefLocation.epoch", value=MivotUtils.as_literal(epoch)) else: ref_position_instance = MivotInstance(dmtype=f"{ModelPrefix.coords}:StdRefLocation", dmrole=f"{ModelPrefix.coords}:SpaceFrame.refPosition") ref_position_instance.add_attribute(dmtype=IvoaType.string, dmrole=f"{ModelPrefix.coords}:StdRefLocation.position", value=MivotUtils.as_literal(refPosition)) # and pack everything space_frame_instance.add_instance(ref_position_instance) space_system_instance.add_instance(space_frame_instance) # add the SpaceSys instance to the GLOBALS block self._annotation.add_globals(space_system_instance) return dmid def add_simple_time_frame(self, timescale="TCB", *, refPosition="BARYCENTER"): """ Adds a TimeSys instance to the GLOBALS block as defined in the Coordinates data model V1.0 (https://ivoa.net/documents/Coords/20221004/index.html). Notes: - This function implements only the most commonly used features. *Custom reference directions* are not supported. However, methods for implementing missing features can be derived from this code. - A warning is emitted if either ``timescale`` or ``refPosition`` have unexpected values. - No error is raised if the parameter values are inconsistent. - The ``dmid`` of the time rame is built from ``timescale`` and ``refPosition``. Parameters ---------- timescale : str, optional, default "TCB" The reference frame for the time frame. refPosition : str, optional, default "BARYCENTER" The reference position for the time frame. Returns ------- str The actual dmid of the time frame INSTANCE """ # buikd the dmid dmid = f"_timeframe_{timescale.replace('*', '')}" if refPosition: dmid += f"_{refPosition.replace('*', '')}" dmid = MivotUtils.format_dmid(dmid) # skip if the same dmid is already recorded if dmid in self._annotation._dmids: logging.warning("An timeSys instance with dmid=%s has already been stored in GLOBALS: skip", dmid) return dmid logging.info("timeSys %s can be referred with dmref='%s'", timescale, dmid) self._annotation._dmids.append(dmid) # add (or overwrite) used models self._annotation.add_model(ModelPrefix.ivoa, vodml_url=VodmlUrl.ivoa) self._annotation.add_model(ModelPrefix.coords, vodml_url=VodmlUrl.coords) # check whether ref_frame and ref_position are set with appropriate values self._check_value_consistency(timescale, CoordSystems.time_frames) self._check_value_consistency(refPosition, CoordSystems.ref_positions) # Build the TimeSys instance component by component time_sys_instance = MivotInstance(dmtype=f"{ModelPrefix.coords}:TimeSys", dmid=dmid) # Let's start with the time frame time_frame_instance = MivotInstance(dmtype=f"{ModelPrefix.coords}:TimeFrame", dmrole=f"{ModelPrefix.coords}:PhysicalCoordSys.frame") time_frame_instance.add_attribute(dmtype=IvoaType.string, dmrole=f"{ModelPrefix.coords}:TimeFrame.timescale", value=MivotUtils.as_literal(timescale)) # Then let's build the reference position ref_position_instance = MivotInstance(dmtype=f"{ModelPrefix.coords}:StdRefLocation", dmrole=f"{ModelPrefix.coords}:TimeFrame.refPosition") ref_position_instance.add_attribute(dmtype=IvoaType.string, dmrole=f"{ModelPrefix.coords}:StdRefLocation.position", value=MivotUtils.as_literal(refPosition)) # pack everything time_frame_instance.add_instance(ref_position_instance) time_sys_instance.add_instance(time_frame_instance) # add the TimeSys instance to the GLOBALS block self._annotation.add_globals(time_sys_instance) return dmid def add_mango_brightness(self, *, photcal_id=None, mapping={}, semantics={}): """ Add a Mango ``Brightness`` instance to the current `MangoObject` with the specified photometric calibration, using the mapping parameter to associate VOtable data with it. This method acts as a front-end for `pyvo.mivot.writer.MangoObject` logic. Parameters ---------- photcal_id : string, optional (default is None) Filter profile service (http://svo2.cab.inta-csic.es/theory/fps/} identifier of the desired photometric calibration. It is made of the filter identifier followed by the photometric system (e.g. GAIA/GAIA3.Grvs/AB) mapping : dict, optional (default to an empty dictionary ({}) A dictionary defining the mapping of values. It includes: - mapping of the brightness value - one separate block for the error specification semantics : dict, optional (default to an empty dictionary ({}) A dictionary specifying semantic details to be added to the Mango property. Returns ------- `Property` The Mango property Notes ----- The mapping example below maps the data of the GaiaD3 table that can be found in the test suite. Notice that the (fake) error bounds are given as literalS. .. code-block:: python photcal_id="GAIA/GAIA3.Grvs/AB" mapping={"value": "GRVSmag", "error": { "class": "PErrorAsym1D", "low": 1, "high": 3} } semantics={"description": "Grvs magnitude", "uri": "https://www.ivoa.net/rdf/uat/2024-06-25/uat.html#magnitude", "label": "magnitude"} builder = InstancesFromModels(votable, dmid="DR3Name") builder.add_mango_magnitude(photcal_id=photcal_id, mapping=mapping, semantics=semantics) """ # make sure MANGO is mentioned in self._annotation.add_model(ModelPrefix.mango, vodml_url=VodmlUrl.mango) # Add the photometric calibration instance in photcal_id, _ = self.add_photcal(photcal_id) # Add the brightness property to the MANGO instance return self._mango_instance.add_brightness_property(photcal_id, mapping, semantics=semantics) def add_mango_color(self, *, filter_ids={}, mapping={}, semantics={}): """ Add a Mango ``Color`` instance to the current `MangoObject` with the specified low and high filters, using the mapping parameter to associate VOtable data with it. This method acts as a front-end for `pyvo.mivot.writer.MangoObject` logic. Parameters ---------- filter_ids : string, optional (default to an empty dictionary {}) Filter profile service (http://svo2.cab.inta-csic.es/theory/fps/} identifiers of the high and low photometric calibrations that contain the desired filters. Identifiers are made of the filter identifier followed by the photometric system (e.g. GAIA/GAIA3.Grvs/AB). mapping : dict, optional (default to an empty dictionary ({}) A dictionary defining the mapping of values. It includes: - The mapping of the color value and the color definition (ColorIndex or HardnessRatio). - One separate block for the error specification. semantics : dict, optional (default to an empty dictionary {}) A dictionary specifying semantic details to be added to the Mango property. Returns ------- `Property` The Mango property Notes ----- The mapping example below maps the data of the GaiaD3 table that can be found in the test suite. The (fake) color value is given as a literal, it does not refer to any table column. .. code-block:: python filter_ids={"low": "GAIA/GAIA3.Grp/AB", "high": "GAIA/GAIA3.Grvs/AB"} mapping={"value": 0.08, "definition": "ColorIndex", "error": { "class": "PErrorAsym1D", "low": 0.01, "high": 0.02} } semantics={"description": "Fake color index", "uri": "http://astrothesaurus.org/uat/1553", "label": "Spectral index"} builder = InstancesFromModels(votable, dmid="DR3Name") builder.add_mango_color(filter_ids=filter_ids, mapping=mapping, semantics=semantics) """ self._annotation.add_model(ModelPrefix.mango, vodml_url=VodmlUrl.mango) filter_low_name = filter_ids["low"] filter_high_name = filter_ids["high"] _, filter_low_id = self.add_photcal(filter_low_name) _, filter_high_id = self.add_photcal(filter_high_name) return self._mango_instance.add_color_instance(filter_low_id, filter_high_id, mapping, semantics=semantics) def add_mango_epoch_position(self, *, frames={}, mapping={}, semantics={}): """ Add a Mango ``EpochPosition`` instance to the current `MangoObject` with the specified frames and semantics, using the mapping parameter to associate VOtable data with it. This method acts as a front-end for `pyvo.mivot.writer.MangoObject` logic. Parameters ---------- frames : dict, optional (default to an empty dictionary {}) A dictionary specifying the frames (space and time coordinate systems) to be used. Frames parameters are global, they cannot refer to table columns. If a frame description contains the "dmid" key, that value will be used as an identifier an already installed frame (e.g. with ``extract_frames()``). Otherwise the content of the frame description is meant to be used in input parameter for ``add_simple_(space)time_frame()`` mapping : dict, optional (default to an empty dictionary {}) A dictionary defining the mapping of values. It includes: - A flat list for position parameters. - Two separate blocks for correlations and error specifications. semantics : dict, optional (default to an empty dictionary {}) A dictionary specifying semantic details to be added to the Mango property. Returns ------- `Property` The Mango property Notes ----- The mapping example below maps the data of the GaiaD3 table that can be found in the test suite. .. code-block:: python frames={"spaceSys": {"spaceRefFrame": "ICRS", "refPosition": 'BARYCENTER', "equinox": None}, "timeSys": {"timescale": "TCB", "refPosition": 'BARYCENTER'}} mapping={"longitude": "_RAJ2000", "latitude": "_DEJ2000", "pmLongitude": "pmRA", "pmLatitude": "pmDE", "parallax": "Plx", "radialVelocity": "RV", "correlations": {"isCovariance": True, "longitudeLatitude": "RADEcor", "latitudePmLongitude": "DEpmRAcor", "latitudePmLatitude": "DEpmDEcor", "longitudePmLongitude": "RApmRAcor", "longitudePmLatitude": "RApmDEcor", "longitudeParallax": "RAPlxcor", "latitudeParallax": "DEPlxcor", "pmLongitudeParallax": "PlxpmRAcor", "pmLatitudeParallax": "PlxpmDEcor", }, "errors": { "position": { "class": "PErrorSym2D", "sigma1": "e_RA_ICRS", "sigma2": "e_DE_ICRS"}, "properMotion": { "class": "PErrorSym2D", "sigma1": "e_pmRA", "sigma2": "e_pmDE"}, "parallax": { "class": "PErrorSym1D", "sigma": "e_Plx"}, "radialVelocity": { "class": "PErrorSym1D", "sigma": "e_RV"} } } semantics={"description": "6 parameters position", "uri": "https://www.ivoa.net/rdf/uat/2024-06-25/uat.html#astronomical-location", "label": "Astronomical location"} builder = InstancesFromModels(votable, dmid="DR3Name") builder.add_mango_epoch_position(frames=frames, mapping=mapping, semantics=semantics) """ self._annotation.add_model(ModelPrefix.mango, vodml_url=VodmlUrl.mango) space_frame_id = "" if "spaceSys" in frames and frames["spaceSys"]: if "dmid" in frames["spaceSys"]: space_frame_id = frames["spaceSys"]["dmid"] else: space_frame_id = self.add_simple_space_frame(*frames["spaceSys"]) time_frame_id = "" if "timeSys" in frames and frames["timeSys"]: if "dmid" in frames["timeSys"]: time_frame_id = frames["timeSys"]["dmid"] else: time_frame_id = self.add_simple_time_frame(**frames["timeSys"]) return self._mango_instance.add_epoch_position(space_frame_id, time_frame_id, mapping, semantics) def add_query_origin(self, mapping={}): """ Add the Mango ``QueryOrigin`` instance to the current `MangoObject`. This method acts as a front-end for `pyvo.mivot.writer.MangoObject` logic. Parameters ---------- mapping : dict, optional (default to an empty dictionary {}) A dictionary defining the QueryOrigin fields. Mapped fields are global, they cannot refer to table columns Returns ------- `MivotInstance` Notes ----- The partial mapping example below maps a fake QueryOrigin. A complete (long) example based on GaiaD3 can be found in the test suite. .. code-block:: python builder = InstancesFromModels(votable, dmid="DR3Name") builder.add_query_origin( { "service_protocol": "ivo://ivoa.net/std/ConeSearch/v1.03", "request_date": "2025-04-07T12:06:32", "request": ( "https://cdsarc.cds.unistra.fr/beta/viz-bin/mivotconesearch" "/I/329/urat1?RA=52.26708&DEC=59.94027&SR=0.05" ), "contact": "cds-question@unistra.fr", "server_software": "7.4.6", "publisher": "CDS", "dataOrigin": [ { "ivoid": "ivo://cds.vizier/i/329", "creators": ["Zacharias N."], "cites": "bibcode:2015AJ....150..101Z", "original_date": "2015", "reference_url": "https://cdsarc.cds.unistra.fr/viz-bin/cat/I/329", "rights_uri": "https://cds.unistra.fr/vizier-org/licences_vizier.html", "articles": [{"editor": "Astronomical Journal (AAS)"}], } ], } ) """ self._annotation.add_model(ModelPrefix.mango, vodml_url=VodmlUrl.mango) query_origin_instance = MivotInstance(dmtype=f"{ModelPrefix.mango}:origin.QueryOrigin", dmid="_origin") MivotUtils.populate_instance(query_origin_instance, "QueryOrigin", mapping, self._table, IvoaType.string, as_literals=True, package="origin") if "dataOrigin" in mapping: origins = [] data_origin_mappings = mapping["dataOrigin"] for data_origin_mapping in data_origin_mappings: data_origin_instance = MivotInstance(dmtype=f"{ModelPrefix.mango}:origin.DataOrigin") MivotUtils.populate_instance(data_origin_instance, "DataOrigin", data_origin_mapping, self._table, IvoaType.string, as_literals=True, package="origin") if "articles" in data_origin_mapping: articles = [] for art_mapping in data_origin_mapping["articles"]: art_instance = MivotInstance(dmtype=f"{ModelPrefix.mango}:origin.Article") MivotUtils.populate_instance(art_instance, "Article", art_mapping, self._table, IvoaType.string, as_literals=True, package="origin") articles.append(art_instance) data_origin_instance.add_collection(f"{ModelPrefix.mango}:origin.DataOrigin.articles", articles) if "creators" in data_origin_mapping: creators = [] for art_mapping in data_origin_mapping["creators"]: creators.append(f"") data_origin_instance.add_collection(f"{ModelPrefix.mango}:origin.DataOrigin.creators", creators) origins.append(data_origin_instance) query_origin_instance.add_collection(f"{ModelPrefix.mango}:origin.QueryOrigin.dataOrigin", origins) self._annotation.add_globals(query_origin_instance) self._annotation._dmids.append("_origin") return query_origin_instance def pack_into_votable(self, *, report_msg="", sparse=False, schema_check=True): """ Pack all mapped objects in the annotation block and put it in the VOTable. Parameters ---------- report_msg : string, optional (default to an empty string) Content of the REPORT Mivot tag sparse : boolean, optional (default to False) If True, all properties are added in a independent way to the the TEMPLATES. They are packed in a MangoObject otherwise. schema_check : boolean, optional (default to True) If True the MIVOT block is validated against its schema. This may test failing due to remote accesses. """ self._annotation.set_report(True, report_msg) if sparse is True: for prop in self._mango_instance.mango_properties: # Add each individual property to the TEMPLATES block self._annotation.add_templates(prop.xml_string()) else: # Pack the MangoObject and put it in the TEMPLATES self._annotation.add_templates(self._mango_instance.get_mango_object( with_origin=("_origin" in self._annotation._dmids))) self._annotation.build_mivot_block(schema_check=schema_check) self._annotation.insert_into_votable(self._votable, override=True) astropy-pyvo-b70558c/pyvo/mivot/writer/mango_object.py000066400000000000000000000333441510533647000232300ustar00rootroot00000000000000''' Created on 22 Jan 2025 @author: laurentmichel ''' from pyvo.mivot.utils.exceptions import MappingError from pyvo.mivot.utils.mivot_utils import MivotUtils from pyvo.mivot.writer.instance import MivotInstance from pyvo.mivot.glossary import ( IvoaType, ModelPrefix, Roles, CoordSystems) class Property(MivotInstance): """ Class representing one property of a MangoInstance. MangoInstance property instances are `pyvo.mivot.writer.MivotInstance` augmented with a semantics block. """ def __init__(self, dmtype=None, *, dmrole=None, dmid=None, semantics={}): """ Parameters ---------- dmtype : str dmtype of the INSTANCE (mandatory) dmrole : str, optional (default as None) dmrole of the INSTANCE dmid : str, optional (default as None) dmid of the INSTANCE semantics : dict, optional (default as {}) Mapping of the semantic block (supported key: descripton, uri, label) Raises ------ MappingError If ``dmtype`` is not provided """ super().__init__(dmtype, dmrole=dmrole, dmid=dmid) if "description" in semantics: # we assume the description as always being a literal self.add_attribute(dmtype="ivoa:string", dmrole="mango:Property.description", value=f"*{semantics['description']}") if "uri" in semantics or "label" in semantics: semantics_instance = MivotInstance(dmtype="mango:VocabularyTerm", dmrole="mango:Property.semantics") if "uri" in semantics: semantics_instance.add_attribute(dmtype="ivoa:string", dmrole="mango:VocabularyTerm.uri", value=f"*{semantics['uri']}") if "label" in semantics: semantics_instance.add_attribute(dmtype="ivoa:string", dmrole="mango:VocabularyTerm.label", value=f"*{semantics['label']}") self.add_instance(semantics_instance) class MangoObject(object): """ This class handles all the components of a MangoObject (properties, origin, instance identifier). It is meant to be used by `pyvo.mivot.writer.InstancesFromModels` but not by end users. - There is one specific method for each supported property (EpochPosition, photometry and QueryOrigin). - The internal structure of the classes is hard-coded in the class logic. """ def __init__(self, table, *, dmid=None): ''' Constructor parameters: parameters ---------- table : astropy.io.votable.tree.TableElement VOTable table which data is mapped on Mango dmid: stringn optional (default as None) Reference of the column to be used as a MangoObject identifier ''' self._table = table self._properties = [] self._dmid = dmid def _get_error_instance(self, class_name, dmrole, mapping): """ Private method building and returning an Mango error instance Returns: MivotInstance """ prop_err_instance = MivotInstance(dmtype=f"{ModelPrefix.mango}:error.{class_name}", dmrole=dmrole) MivotUtils.populate_instance(prop_err_instance, class_name, mapping, self._table, IvoaType.RealQuantity, package="error") return prop_err_instance def _add_epoch_position_correlations(self, **correlations): """ Private method building and returning the correlation block of the EpocPosition object. Returns ------- `Property` The EpochPosition correlations component """ epc_instance = MivotInstance(dmtype=f"{ModelPrefix.mango}:EpochPositionCorrelations", dmrole=f"{ModelPrefix.mango}:EpochPosition.correlations") MivotUtils.populate_instance(epc_instance, "EpochPositionCorrelations", correlations, self._table, IvoaType.real) return epc_instance def _add_epoch_position_errors(self, **errors): """ Private method building and returning the error block of the EpocPosition object. Returns ------- `Property` The EpochPosition error instance """ err_instance = MivotInstance(dmtype=f"{ModelPrefix.mango}:EpochPositionErrors", dmrole=f"{ModelPrefix.mango}:EpochPosition.errors") for role, mapping in errors.items(): error_class = mapping["class"] if (role in Roles.EpochPositionErrors and error_class in ["PErrorSym2D", "PErrorSym1D", "PErrorAsym1D"]): err_instance.add_instance( self._get_error_instance(error_class, f"{ModelPrefix.mango}:EpochPositionErrors.{role}", mapping)) return err_instance def _add_epoch_position_epoch(self, **mapping): """ Private method building and returning the observation date (DateTime) of the EpohPosition. Parameters ---------- mapping: dict(representation, datetime) Mapping of the DateTime fields Returns ------- `Property` The EpochPosition observation date instance """ datetime_instance = MivotInstance(dmtype=f"{ModelPrefix.mango}:DateTime", dmrole=f"{ModelPrefix.mango}:EpochPosition.obsDate") representation = mapping.get("representation") value = mapping["dateTime"] if representation not in CoordSystems.time_formats: raise MappingError(f"epoch representation {representation} not supported. " f"Take on of {CoordSystems.time_formats}") datetime_instance.add_attribute(IvoaType.string, f"{ModelPrefix.mango}:DateTime.representation", value=MivotUtils.as_literal(representation)) datetime_instance.add_attribute(IvoaType.datetime, f"{ModelPrefix.mango}:DateTime.dateTime", value=value) return datetime_instance def add_epoch_position(self, space_frame_id, time_frame_id, mapping, semantics): """ Add an ``EpochPosition`` instance to the properties of the current ``MangoObject``. Both mapping and semantics arguments inherit from `pyvo.mivot.writer.InstancesFromModels.add_mango_epoch_position`. Parameters ---------- space_frame_id : string Identifier (dmid) of space system INSTANCE located in the GLOBALS time_frame_id : string Identifier (dmid) of time system INSTANCE located in the GLOBALS mapping : dict Mapping of the EpochPosition fields semantics : dict Mapping of the MangoObject property Returns ------- `Property` The EpochPosition instance """ ep_instance = Property(dmtype=f"{ModelPrefix.mango}:EpochPosition", semantics=semantics) MivotUtils.populate_instance(ep_instance, "EpochPosition", mapping, self._table, IvoaType.RealQuantity) if "obsDate" in mapping: ep_instance.add_instance(self._add_epoch_position_epoch(**mapping["obsDate"])) if "correlations" in mapping: ep_instance.add_instance(self._add_epoch_position_correlations(**mapping["correlations"])) if "errors" in mapping: ep_instance.add_instance(self._add_epoch_position_errors(**mapping["errors"])) if space_frame_id: ep_instance.add_reference(dmrole=f"{ModelPrefix.mango}:EpochPosition.spaceSys", dmref=space_frame_id) if time_frame_id: ep_instance.add_reference(dmrole=f"{ModelPrefix.mango}:EpochPosition.timeSys", dmref=time_frame_id) self._properties.append(ep_instance) return ep_instance def add_brightness_property(self, filter_id, mapping, semantics={}): """ Add a ``Brightness`` instance to the properties of the current ``MangoObject``. Both mapping and semantics arguments inherit from `pyvo.mivot.writer.InstancesFromModels.add_mango_brightness`. Parameters ---------- filter_id : string Identifier (dmid) of the PhotCal INSTANCE located in the GLOBALS mapping : dict Mapping of the EpochPosition fields semantics : dict Mapping of the MangoObject property Returns ------- `Property` The Brightness instance """ # create the MIVOT instance mapping the MANGO property mag_instance = Property(dmtype=f"{ModelPrefix.mango}:Brightness", semantics=semantics) # set MANGO property attribute MivotUtils.populate_instance(mag_instance, "PhotometricProperty", mapping, self._table, IvoaType.RealQuantity) # build the error instance if it is mapped if "error" in mapping: error_mapping = mapping["error"] error_class = error_mapping["class"] mag_instance.add_instance( self._get_error_instance(error_class, f"{ModelPrefix.mango}:PhotometricProperty.error", error_mapping)) # add MIVOT reference to the photometric calibration instance mag_instance.add_reference(dmrole=f"{ModelPrefix.mango}:Brightness.photCal", dmref=filter_id) self._properties.append(mag_instance) return mag_instance def add_color_instance(self, filter_low_id, filter_high_id, mapping, semantics={}): """ Add an ``Color`` instance to the properties of the current ``MangoObject``. Both mapping and semantics arguments inherit from `pyvo.mivot.writer.InstancesFromModels.add_mango_color`. Parameters ---------- filter_low_id : string Identifier (dmid) of the low energy Photfilter INSTANCE located in the GLOBALS filter_high_id : string Identifier (dmid) of the high energy Photfilter INSTANCE located in the GLOBALS mapping : dict Mapping of the EpochPosition fields semantics : dict Mapping of the MangoObject property Returns ------- `Property` The Color instance """ error_mapping = mapping["error"] mag_instance = Property(dmtype=f"{ModelPrefix.mango}:Color", semantics=semantics) coldef_instance = MivotInstance(dmtype=f"{ModelPrefix.mango}:ColorDef", dmrole=f"{ModelPrefix.mango}:Color.colorDef") mapped_roles = MivotUtils._valid_mapped_dmroles(mapping.items(), "Color") def_found = False for dmrole, column in mapped_roles: if dmrole.endswith("definition"): def_found = True coldef_instance.add_attribute(dmtype="mango:ColorDefinition", dmrole="mango:ColorDef.definition", value=f"*{column}") if not def_found: raise MappingError("Missing color definition") mapping.pop("definition") MivotUtils.populate_instance(mag_instance, "PhotometricProperty", mapping, self._table, IvoaType.RealQuantity) coldef_instance.add_reference(dmrole=f"{ModelPrefix.mango}:ColorDef.low", dmref=filter_low_id) coldef_instance.add_reference(dmrole=f"{ModelPrefix.mango}:ColorDef.high", dmref=filter_high_id) error_class = error_mapping["class"] mag_instance.add_instance(self._get_error_instance(error_class, f"{ModelPrefix.mango}:PhotometricProperty.error", error_mapping)) mag_instance.add_instance(coldef_instance) self._properties.append(mag_instance) return mag_instance def get_mango_object(self, with_origin=False): """ Make and return the XML serialization of the MangoObject. Parameters ---------- with_origin : bool Ask for adding a reference (_origin) to the query origin possibly located in the GLOBALS Returns ------- string The XML serialization of the MangoObject """ mango_object = MivotInstance(dmtype="mango:MangoObject", dmid=self._dmid) if self._dmid: ref, value = MivotUtils.get_ref_or_literal(self._dmid) att_value = ref if ref else value mango_object.add_attribute(dmrole="mango:MangoObject.identifier", dmtype=IvoaType.string, value=att_value) if with_origin: mango_object.add_reference("mango:MangoObject.queryOrigin", "_origin") m_properties = [] for prop in self._properties: m_properties.append(prop.xml_string()) mango_object.add_collection("mango:MangoObject.propertyDock", m_properties) return mango_object astropy-pyvo-b70558c/pyvo/mivot/writer/mivot-v1.xsd000066400000000000000000000313341510533647000224260ustar00rootroot00000000000000 astropy-pyvo-b70558c/pyvo/mivot/writer/v1.1.xsd000066400000000000000000000416761510533647000214430ustar00rootroot00000000000000 Deprecated in Version 1.1 astropy-pyvo-b70558c/pyvo/mivot/writer/v1.2.xsd000066400000000000000000000520761510533647000214400ustar00rootroot00000000000000 VOTable1.2 is meant to serialize tabular documents in the context of Virtual Observatory applications. This schema corresponds to the VOTable document available from http://www.ivoa.net/Documents/latest/VOT.html Accept UCD1+ Accept also old UCD1 (but not / + %) including SIAP convention (with :) content-role was previsouly restricted as: ]]>; is now a name token. Deprecated in Version 1.2 Deprecated in Version 1.1 Added in Version 1.2: INFO for diagnostics The 'encoding' attribute is added here to avoid problems of code generators which do not properly interpret the TR/TD structures. 'encoding' was chosen because it appears in appendix A.5 The ID attribute is added here to the TR tag to avoid problems of code generators which do not properly interpret the TR/TD structures Added in Version 1.2: INFO for diagnostics Added in Version 1.2: INFO for diagnostics in several places astropy-pyvo-b70558c/pyvo/mivot/writer/v1.3.xsd000066400000000000000000000575351510533647000214460ustar00rootroot00000000000000 VOTable is meant to serialize tabular documents in the context of Virtual Observatory applications. This schema corresponds to the VOTable document available from http://www.ivoa.net/Documents/latest/VOT.html Accept UCD1+ Accept also old UCD1 (but not / + %) including SIAP convention (with :) content-role was previsouly restricted as: ]]>; is now a token. Values for this attribute must be taken from the IVOA refframe vocabulary, http://www.ivoa.net/rdf/refframe The reference position SHOULD be taken from the IVOA refposition vocabulary (http://www.ivoa.net/rdf/refposition). This is a time origin of a time coordinate, given as a Julian Date for the the time scale and reference point defined. It is usually given as a floating point literal; for convenience, the magic strings “MJD-origin” (standing for 2400000.5) and “JD-origin” (standing for 0) are also allowed. The time origin is the offset or the time coordinate to Julian Date. The timeorigin attribute MUST be given unless the time's representation contains a year of a calendar era, in which case it MUST NOT be present. This is the time scale used. Values SHOULD be taken from the IVOA timescale vocabulary (http://www.ivoa.net/rdf/timescale). The reference position SHOULD be taken from the IVOA refposition vocabulary (http://www.ivoa.net/rdf/refposition). Deprecated in Version 1.1 Added in Version 1.2: INFO for diagnostics The 'encoding' attribute is added here to avoid problems of code generators which do not properly interpret the TR/TD structures. 'encoding' was chosen because it appears in appendix A.5 The ID attribute is added here to the TR tag to avoid problems of code generators which do not properly interpret the TR/TD structures Added in Version 1.2: INFO for diagnostics Added in Version 1.2: INFO for diagnostics in several places astropy-pyvo-b70558c/pyvo/registry/000077500000000000000000000000001510533647000174165ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/registry/__init__.py000066400000000000000000000015711510533647000215330ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ a package for interacting with registries. The regtap module supports access to the IVOA Registries """ from .regtap import (search, ivoid2service, get_RegTAP_query, choose_RegTAP_service, RegistryResults, RegistryResource) from .rtcons import (Constraint, SubqueriedConstraint, Freetext, Author, Servicetype, Waveband, Datamodel, Ivoid, UCD, UAT, Spatial, Spectral, Temporal, RegTAPFeatureMissing) __all__ = ["search", "get_RegTAP_query", "Constraint", "SubqueriedConstraint", "Freetext", "Author", "Servicetype", "Waveband", "Datamodel", "Ivoid", "UCD", "UAT", "Spatial", "Spectral", "Temporal", "choose_RegTAP_service", "RegTAPFeatureMissing", "RegistryResults", "RegistryResource",] astropy-pyvo-b70558c/pyvo/registry/regtap.py000066400000000000000000001270411510533647000212570ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ a module for basic VO Registry interactions. A VO registry is a database of VO resources--data collections and services--that are available for VO applications. Typically, it is aware of the resources from all over the world. A registry can find relevant data collections and services through search queries--typically, subject-based. The registry responds with a list of records describing matching resources. With a record in hand, the application can use the information in the record to access the resource directly. Most often, the resource is a data service that can be queried for individual datasets of interest. This module provides basic, low-level access to the RegTAP Registries using standardized TAP-based services. """ import functools import itertools import os import textwrap import warnings from astropy import table from astropy.utils.decorators import deprecated from astropy.utils.exceptions import AstropyDeprecationWarning import numpy from . import rtcons from ..dal import scs, sia, sia2, ssa, sla, tap, query as dalq from ..io.vosi import vodataservice from ..utils.formatting import para_format_desc __all__ = ["search", "get_RegTAP_query", "Interface", "RegistryResource", "RegistryResults", "ivoid2service"] REGISTRY_BASEURL = os.environ.get("IVOA_REGISTRY", "http://reg.g-vo.org/tap" ).rstrip("/") # ADQL only has string_agg, where we need string arrays. We fake arrays # by joining elements with a token separator that we think shouldn't # turn up in the things joined. Of course, people could create # resources that break us; let's assume there's nothing be gained # from that ever. TOKEN_SEP = ":::py VO sep:::" def shorten_stdid(s): """removes leading ivo://ivoa.net/std/ from s if present. We're using this to make the display and naming of standard ivoids less ugly in several places. Nones remain Nones. """ if s and s.startswith("ivo://ivoa.net/std/"): return s[19:] return s def expand_stdid(s): """returns s if it already looks like a URI, and it prepends ivo://ivoa.net/std otherwise. This is the (approximate) reverse of shorten_stdid. """ if s is None or "://" in s: return s return "ivo://ivoa.net/std/" + s def regularize_SIA2_id(standard_id): """returns standard_id with SIA2 standard ids modified to what they should have been. Regrettably, SIA2 uses the same standardID as SIA1; sure, they use different fragments, but that doesn't really help with the logic we have here. To make up for that, we replace them with the sia2 ids they should have had on input. This function assumes lowercased ids as they come from RegTAP services. """ if standard_id.startswith("ivo://ivoa.net/std/sia#query-2"): return "ivo://ivoa.net/std/sia2" elif standard_id.startswith("ivo://ivoa.net/std/sia#query-aux-2"): # query-aux-2 is mentioned in discovering data collections, # which isn't really the place to define this. But then # it's endorsed, and SIA2 doesn't say anything about it. return "ivo://ivoa.net/std/sia2#aux" else: return standard_id @functools.lru_cache(1) def get_RegTAP_service(): """ a lazily created TAP service offering the RegTAP services. Always get the TAP service there using this function to avoid re-creating the server and profit from caching of capabilties, tables, etc. To switch to a different RegTAP service, use :py:func:`choose_RegTAP_service`. """ return tap.TAPService(REGISTRY_BASEURL) def choose_RegTAP_service(access_url): """ changes the RegTAP service used by :py:func:`search` to the one at access_url. By default, pyVO uses whatever is given in the environment variable ``IVOA_REGISTRY``, defaulting to GAVO's TAP service. In order to change the service used on the fly, always use this function in order to clear caches that need clearing. Parameters ---------- access_url : str The TAP access URL of the new RegTAP endpoints. To find alternate endpoints, try ``regsearch(datamodel='regtap')`` and look at ``.get_interface("tap").access_url`` of the results. """ global REGISTRY_BASEURL get_RegTAP_service.cache_clear() REGISTRY_BASEURL = access_url def get_RegTAP_query(*constraints: rtcons.Constraint, includeaux=False, service=None, **kwargs): """returns SQL for a RegTAP query for constraints and keywords. This function's parameters are as for search; this is basically a wrapper for rtcons.build_regtap_query maintaining the legacy keyword-based interface. """ # we don't document the service parameter -- it's probably not useful # to users and is just the conscequence of having retrofitted service # sensing into the API. if service is None: service = get_RegTAP_service() constraints = list(constraints) + rtcons.keywords_to_constraints(kwargs) # maintain legacy includeaux by locating any Servicetype constraints # and replacing them with ones that includes auxiliaries. if includeaux: for index, constraint in enumerate(constraints): if isinstance(constraint, rtcons.Servicetype): constraints[index] = constraint.include_auxiliary_services() return rtcons.build_regtap_query(constraints, service) def search(*constraints: rtcons.Constraint, includeaux: bool = False, maxrec: int = None, **kwargs): """ execute a simple query to the RegTAP registry. The function accepts query constraints either as Constraint objects passed in as positional arguments or as their associated keywords. For what constraints are available, see :ref:`registry-basic-interface`. The values of keyword arguments may be tuples or lists when the associated Constraint objects take multiple arguments. All constraints, whether passed in directly or via keywords, are evaluated as a conjunction (i.e., in an AND clause). Parameters ---------- *constraints : `~pyvo.registry.Constraint` instances The constraints (keywords to match, positions to cover, ...) that the returned records need to satisfy. The accepted constraints are: - keywords: one or more freetext words, mached in the title, description or subject of the resource. - servicetype: constrain to one of tap, ssa, sia, conesearch (or full ivoids for other service types). This is the constraint you want to use for service discovery. - ucd: constrain by one or more UCD patterns; resources match when they serve columns having a matching UCD (e.g., phot.mag;em.ir.% for "any infrared magnitude"). - waveband: one or more terms from the vocabulary at http://www.ivoa.net/rdf/messenger giving the rough spectral location of the resource. - author: an author ("creator"). This is a single SQL pattern, and given the sloppy practices in the VO for how to write author names, you should probably generously use wildcards. - datamodel: one of obscore, epntap, or regtap: only return TAP services having tables of this kind. - ivoid: exactly match a single IVOA identifier (that is, in effect, the primary key in the VO). - spatial: match resources covering a certain geometry (point, circle, polygon, or MOC). RegTAP 1.2 Extension. - spectral: match resources covering a certain part of the spectrum (usually, but not limited to, the electromagnetic spectrum). RegTAP 1.2 Extension - temporal: match resources covering a some point or interval in time. RegTAP 1.2 Extension Multiple constraints are combined conjunctively ("AND"). includeaux : bool Flag for whether to include auxiliary capabilities in results. This may result in duplicate capabilities being returned, especially if the servicetype is not specified. maxrec : int Overrides the RegTAP server's default limit on the number of rows to return. You may need to use this if you want to retrieve more than a few thousand matches. The server may also have a hard limit that ``maxrec`` cannot override. Note that truncated search results are not reproducible. **kwargs : strings, mostly shorthands for ``constraints``; see the documentation of a specific constraint for what keyword it uses and what literal it expects. Returns ------- ~pyvo.registry.RegistryResults` a container holding a table of matching resource (e.g. services) See Also -------- RegistryResults """ service = get_RegTAP_service() query = RegistryQuery( service.baseurl, get_RegTAP_query(*constraints, includeaux=includeaux, service=service, **kwargs), maxrec=maxrec) return query.execute() class RegistryQuery(tap.TAPQuery): def execute(self): """ submit the query and return the results as a RegistryResults instance Raises ------ DALServiceError for errors connecting to or communicating with the service DALQueryError for errors either in the input query syntax or other user errors detected by the service DALFormatError for errors parsing the VOTable response """ return RegistryResults(self.execute_votable(), url=self.queryurl) class RegistryResults(dalq.DALResults): """ an iterable set of results from a registry query. Each record is returned as RegistryResults You can iterate over these, or access them by (numeric) index; note, however, that these indexes will not be stable across different executions and thus should only be used in interactive sessions. Alternatively, you can use short names as indexes; there *might* be clashes for these, as they are not unique VO-wide. Where this matters, you need to use full ivoids as index. """ def getrecord(self, index): """ return all the attributes of a resource record with the given index as SimpleResource instance (a dictionary-like object). Parameters ---------- index : int the zero-based index of the record """ return RegistryResource(self, index) def get_summary(self): """ returns a brief overview of the matched results as an astropy table. This is mainly intended for interactive use, where people would like to inspect the matches in, perhaps, notebooks. """ return table.Table([ list(range(len(self))), [r.short_name for r in self], [r.res_title for r in self], [r.res_description for r in self], [", ".join(sorted(r.access_modes())) for r in self]], names=("index", "short_name", "title", "description", "interfaces"), descriptions=( "Index to access the resource within self", "Short name", "Resource title", "Resource description", "Access modes offered")) @functools.cache def _get_ivo_index(self): return {r.ivoid: index for index, r in enumerate(self)} @functools.cache def _get_short_name_index(self): return {r.short_name: index for index, r in enumerate(self)} def __getitem__(self, item): """ returns a record by numeric index, short names, or ivoid. This will raise an IndexError or a KeyError when item does not match a record returned. """ if isinstance(item, int): return self.getrecord(item) elif isinstance(item, str): if item.startswith("ivo://"): return self.getrecord(self._get_ivo_index()[item]) else: return self.getrecord(self._get_short_name_index()[item]) else: raise IndexError(f"No resource matching {item}") class _BrowserService: """A pseudo-service class just opening a web browser for browser-based services. """ def __init__(self, access_url, capability_description=None): self.baseurl = access_url self.capability_description = capability_description def __repr__(self): return f"BrowserService(baseurl : '{self.baseurl}', description : '{self.capability_description}')" def search(self): import webbrowser webbrowser.open(self.baseurl, 2) class Interface: """ a service interface. These consist of an access URL, a standard id for the capability (typically the ivoid of an IVOA standard, or None for free services), an interface type (something like vs:paramhttp or vr:webbrowser) and an indication if the interface is the "standard" interface of the capability. Such interfaces can be turned into services using the ``to_service`` method if pyvo knows how to talk to the interface. Note that the constructor arguments are assumed to be normalised as in regtap (e.g., lowercased for the standardIDs). """ service_for_standardid = { "ivo://ivoa.net/std/conesearch": scs.SCSService, "ivo://ivoa.net/std/sia": sia.SIAService, "ivo://ivoa.net/std/sia2": sia2.SIA2Service, "ivo://ivoa.net/std/ssa": ssa.SSAService, "ivo://ivoa.net/std/sla": sla.SLAService, "ivo://ivoa.net/std/tap": tap.TAPService} def __init__(self, access_url, *, standard_id=None, intf_type=None, intf_role=None, capability_description=None): self.access_url = access_url self.standard_id = standard_id self.type = intf_type self.role = intf_role self.capability_description = capability_description self.is_standard = self.role == "std" if self.standard_id is not None: self.is_vosi = self.standard_id.startswith("ivo://ivoa.net/std/vosi") else: self.is_vosi = False # a service is user visible if it has a corresponding service class if self.standard_id is not None and self.standard_id != "": service_type = self.standard_id.split("#")[0] # remove possible suffixes/standard keys self.is_user_visible = service_type in self.service_for_standardid # or if it is a webpage else: self.is_user_visible = self.type == "vr:webbrowser" def __repr__(self): if not self.standard_id or self.standard_id is None: return (f"Interface(type={self.type!r}, " f"description={self.capability_description!r}, " f"url={self.access_url!r})") return (f"Interface(type={self.standard_id.rsplit('/')[-1]!r}, " f"description={self.capability_description!r}, " f"url={self.access_url!r})") def to_service(self, *, session=None): if self.type == "vr:webbrowser": return _BrowserService(self.access_url, self.capability_description) if self.standard_id is None or not self.is_standard: raise ValueError("This is not a standard interface. PyVO" " cannot speak to it.") service_class = self.service_for_standardid.get( self.standard_id.split("#")[0]) if service_class is None: raise ValueError("PyVO has no support for interfaces with" f" standard id {self.standard_id}.") if service_class == sia2.SIA2Service: return service_class(self.access_url, capability_description=self.capability_description, check_baseurl=False, session=session) else: return service_class( self.access_url, capability_description=self.capability_description, session=session) def supports(self, standard_id): """returns true if we believe the interface should be able to talk standard_id. At this point, we naively check if the interfaces's standard_id has standard_id as a prefix. At this point, we cut off standard_id fragments for this purpose. This works for all current DAL standards but would, for instance, not work for VOSI. Hence, this may need further logic if we wanted to extend our service generation to VOSI or, perhaps, VOSpace. Parameters ---------- standard_id : str The ivoid of a standard. """ if not self.standard_id: return False standard_id = regularize_SIA2_id(standard_id) return self.standard_id.split("#")[0] == standard_id.split("#")[0] class RegistryResource(dalq.Record): """ a dictionary for the resource metadata returned in one record of a registry query. A SimpleResource acts as a dictionary, so in general, all attributes can be accessed by name via the [] operator, and the attribute names can by returned via the keys() function. For convenience, it also stores key values as properties; these include: """ _service = None # the following attribute is used by datasearch._build_regtap_query # to figure build the select clause; it is maintained here # because this class knows what it expects to get. # # Each item is either a plain string for a column name, or # a 2-tuple for an as clause; all plain strings are used # used in the group by, and so it is assumed they are # 1:1 to ivoid. expected_columns = [ "ivoid", "res_type", "short_name", "res_title", "content_level", "res_description", "reference_url", "creator_seq", "created", "updated", "rights", "content_type", "source_format", "source_value", "region_of_regard", "waveband", (f"\n ivo_string_agg(COALESCE(access_url, ''), '{TOKEN_SEP}')", "access_urls"), (f"\n ivo_string_agg(COALESCE(standard_id, ''), '{TOKEN_SEP}')", "standard_ids"), (f"\n ivo_string_agg(COALESCE(intf_type, ''), '{TOKEN_SEP}')", "intf_types"), (f"\n ivo_string_agg(COALESCE(intf_role, ''), '{TOKEN_SEP}')", "intf_roles"), (f"\n ivo_string_agg(COALESCE(cap_description, ''), '{TOKEN_SEP}')", "cap_descriptions")] def __init__(self, results, index, *, session=None): dalq.Record.__init__(self, results, index, session=session) self._mapping["access_urls" ] = self._parse_pseudo_array(self._mapping["access_urls"]) self._mapping["standard_ids"] = [ regularize_SIA2_id(id) for id in self._parse_pseudo_array(self._mapping["standard_ids"])] self._mapping["intf_types" ] = self._parse_pseudo_array(self._mapping["intf_types"]) self._mapping["intf_roles" ] = self._parse_pseudo_array(self._mapping["intf_roles"]) self._mapping["cap_descriptions" ] = self._parse_pseudo_array(self._mapping["cap_descriptions"]) self.interfaces = [Interface(props[0], standard_id=props[1], intf_type=props[2], intf_role=props[3], capability_description=props[4]) for props in itertools.zip_longest( self["access_urls"], self["standard_ids"], self["intf_types"], self["intf_roles"], self["cap_descriptions"])] @staticmethod def _parse_pseudo_array(literal): """ parses RegTAP pseudo-arrays into lists. Parameters ---------- literal : str the result of an ivo_string_agg call with TOKEN_SEP Returns ------- A list of strings corresponding to the orginal, database-side aggregate. """ if not literal: # As VOTable, we don't distinguish between None and "" return [] return literal.split(TOKEN_SEP) @property def ivoid(self): """ the IVOA identifier for the resource. """ return self.get("ivoid", decode=True) @property def res_type(self): """ the resource types that characterize this resource. """ return self.get("res_type", decode=True) @property def short_name(self): """ the short name for the resource """ return self.get("short_name", decode=True) @property def res_title(self): """ the title of the resource """ return self.get("res_title", default=None, decode=True) @property def content_levels(self): """ a list of content level labels that describe the intended audience for this resource. """ return self.get("content_level", default="", decode=True).split("#") @property def res_description(self): """ the textual description of the resource. """ return self.get("res_description", decode=True) @property def reference_url(self): """ URL pointing to a human-readable document describing this resource. """ return self.get("reference_url", decode=True) @property def creators(self): """ The creator(s) of the resource in the order given by the resource record author """ return self.get("creator_seq", default="", decode=True).split(";") @property def created(self): """Date of creation of the resource.""" return self.get("created", decode=True) @property def updated(self): """Date of last modification of the resource.""" return self.get("updated", decode=True) @property def rights(self): """A statement of usage conditions for the content of the resource. This information is often incomplete in the registry, you might get more information at the ``reference_url``. """ return self.get("rights", decode=True) @property def content_types(self): """ list of natures or genres of the content of the resource. """ return self.get("content_type", decode=True).split("#") @property def source_format(self): """ The format of source_value. """ return self.get("source_format", decode=True) @property def source_value(self): """ The bibliographic source for this resource (typically a bibcode or a DOI). """ return self.get("source_value", decode=True) @property def region_of_regard(self): """ numeric value representing the angle, given in decimal degrees, by which a positional query against this resource should be "blurred" in order to get an appropriate match. """ # we get NULLs as NaNs here val = self["region_of_regard"] if numpy.isnan(val): return None return val @property def waveband(self): """ a list of names of the wavebands that the resource provides data for """ return self.get("waveband", default="", decode=True).split("#") @property def access_url(self): """ the URL that can be used to access the service resource. """ # some services declare some data models using multiple # identifiers; in this case, we'll get the same access URL # multiple times in here. Be cool about that situation: access_urls = list(sorted(set(self["access_urls"]))) if len(access_urls) == 0: raise dalq.DALQueryError( f"The resource {self.ivoid} has no queriable interfaces.") elif len(access_urls) > 1: warnings.warn(AstropyDeprecationWarning( f"The resource {self.ivoid} has multiple capabilities. " " You should explicitly pick one using get_service. " " Returning some access_url now, but this behaviour " " may change in the future.")) return access_urls[0] @property def standard_id(self): """ the IVOA standard identifier """ standard_ids = list(set(self["standard_ids"])) if len(standard_ids) == 1: return standard_ids[0] else: raise dalq.DALQueryError( "This resource supports several standards ({})." " Use get_service or restrict your query using Servicetype." .format(", ".join(sorted(self.access_modes())))) def access_modes(self): """ returns a set of interface identifiers available on this resource. For standard interfaces, get_service will return a service suitable for querying if you pass in an identifier from this list as the service_type. This will ignore VOSI (infrastructure) services. """ return {shorten_stdid(intf.standard_id) or "web" for intf in self.interfaces if (intf.standard_id or intf.type == "vr:webbrowser") and not intf.is_vosi} def get_interface(self, *, service_type: str, lax: bool = False, std_only: bool = False, keyword: str = None): """returns a regtap.Interface class for service_type. The meaning of the parameters is as for get_service. This method does not return services, though, so you can use it to obtain access URLs and such for interfaces that pyVO does not (directly) support. Parameters ---------- service_type : str If you leave out ``service_type``, this will return a service for "the" standard interface of the resource. If a resource has multiple standard capabilities (e.g., both TAP and SSAP endpoints), this will raise a DALQueryError. Otherwise, a service of the given service type will be returned. Pass in an ivoid of a standard or one of the shorthands from rtcons.SERVICE_TYPE_MAP, or "web" for a web page (the "service" for this will be an object opening a web browser when you call its query method). lax : bool If there are multiple capabilities for service_type, the function choose the first matching capability by default Pass lax=False to instead raise a DALQueryError. std_only : bool Only return interfaces declared as "std". This is what you want when you want to construct pyVO service objects later. This parameter is ignored for the "web" service type. Returns ------- `~pyvo.registry.regtap.Interface` """ if service_type == "web": # this works very much differently in the Registry # than do the proper services candidates = [intf for intf in self.interfaces if intf.type == "vr:webbrowser"] else: service_type = expand_stdid( rtcons.SERVICE_TYPE_MAP.get( service_type, service_type)) candidates = [intf for intf in self.interfaces if ((not std_only) or intf.is_standard) and not intf.is_vosi and ((not service_type) or intf.supports(service_type))] if not candidates: raise ValueError("No matching interface.") if keyword is not None: candidates = [candidate for candidate in candidates if candidate.capability_description is not None and keyword in candidate.capability_description] if len(candidates) > 1 and not lax: raise ValueError("Multiple matching interfaces found. If you know that they are all equivalent, " "use 'lax=True'.\n" "Otherwise, the search can be constrained by specifying a 'service_type' " "or a 'keyword' to be found in the service description." " You might also want to see all the available services" " with `pyvo.registry.regtap.RegistryResource.list_interfaces()`.") return candidates[0] def get_service(self, service_type: str = None, *, lax: bool = False, keyword: str = None, session: object = None): """ return an appropriate DALService subclass for this resource that can be used to search the resource using service_type. Raise a ValueError if the service_type is not offered on the resource (or no standard service is offered). With lax=False, also raise a ValueError if multiple interfaces exist for the given service_type. VOSI (infrastructure) services are always ignored here. A magic service_type "web" can be passed in to get non-standard, browser-based interfaces. The service in this case is an object that opens a web browser if its query() method is called. Parameters ---------- service_type : str If you leave out ``service_type``, this will return a service for "the" standard interface of the resource. If a resource has multiple standard capabilities (e.g., both TAP and SSAP endpoints), this will raise a DALQueryError. Otherwise, a service of the given service type will be returned. Pass in an ivoid of a standard or one of the shorthands from rtcons.SERVICE_TYPE_MAP, or "web" for a web page (the "service" for this will be an object opening a web browser when you call its query method). lax : bool If there are multiple capabilities for service_type, the function choose the first matching capability by default Pass lax=False to instead raise a DALQueryError. keyword : str A keyword that should be in the service description. Some resources have multiple capabilities ("services") of the same type (see list_interfaces for a discussion). get_service will usually raise a ValueError in that case. Passing a ``keyword`` that uniquely identifies the capability to query will make get_service predictably return the desired service. Use list_interfaces to find such a unique description fragment. session : object optional requests session to use to communicate with the service constructed. Returns ------- `pyvo.dal.DALService` For standard service types, a specific DAL service instance (e.g., a `pyvo.dal.tap.TAPService` when requesting ``tap`` services) is returned. For ``web`` services, what is returned is an opaque service object that has a ``search()`` method simply opening a web browser on the access URL. See Also -------- list_interfaces : return a list with all the available services. """ return self.get_interface(service_type=service_type, lax=lax, std_only=True, keyword=keyword).to_service(session=session) @property def service(self): """ return a service for this resource. This will in general only work if the registry query has constrained the service type; otherwise, many resources will have multiple capabilities. Use get_service instead in such cases. See Also -------- get_service : select a service of a specific service type. list_interfaces : return a list with all the available interfaces to services. """ if self._service is not None: return self._service self._service = self.get_service(service_type=None, lax=True) return self._service def list_interfaces(self, service_type: str = None): """List the interfaces to services available for this registry record. The interface objects in the list can then be used to instantiate the service with the `~pyvo.registry.regtap.Interface.to_service` method. Parameters ---------- service_type : str, optional Restricts the list to interfaces corresponding to services of this service type. The list of possible values can be printed with ``pyvo.registry.rtcons.SERVICE_TYPE_MAP.keys()``. Returns ------- list A list of `~pyvo.registry.regtap.Interface` objects. See Also -------- get_service : when you already know that there is only one service of a specific service type. """ interfaces = [interface for interface in self.interfaces if interface.is_user_visible] if service_type is not None: service_type = expand_stdid(rtcons.SERVICE_TYPE_MAP.get(service_type, service_type)) interfaces = [interface for interface in interfaces if interface.is_standard and interface.supports(service_type)] return sorted(interfaces, key=lambda interface: interface.access_url) def search(self, *args, **keys): """ assuming this resource refers to a searchable service, execute a search against the resource. This is equivalent to: .. code:: python self.to_service().search(*args, **keys) The arguments provided should be appropriate for the service that the DAL service type would expect. See the documentation for the appropriate service type: ============ =========================================== Service type Use the argument syntax for ============ =========================================== catalog :py:meth:`pyvo.dal.scs.SCSService.search` sia :py:meth:`pyvo.dal.sia.SIAService.search` sia2 :py:meth:`pyvo.dal.sia2.SIA2Service.search` ssa :py:meth:`pyvo.dal.ssa.SSAService.search` line :py:meth:`pyvo.dal.sla.SLAService.search` database *not yet supported* ============ =========================================== Raises ------ DALServiceError if the resource does not describe a searchable service. """ try: return self.service.search(*args, **keys) except ValueError: # I blindly assume the ValueError comes out of get_interface. # But then that's likely enough. raise dalq.DALServiceError( f"Resource {self.ivoid} is not a searchable service") def describe(self, *, verbose=False, width=78, file=None): """ Print a summary description of this resource. Parameters ---------- verbose : bool If false (default), only user-oriented information is printed. If true, additional information -- reference url, reference to the related article, and alternative identifier (often a DOI) -- will be printed if available. width : int Format the description with given character-width. file : writable file-like object If provided, write information to this output stream. Otherwise, it is written to standard out. """ print(para_format_desc(self.res_title), file=file) print("Short Name: " + self.short_name, file=file) print("IVOA Identifier: " + self.ivoid, file=file) print("Access modes: " + ", ".join(sorted(self.access_modes())), file=file) for interface in self.list_interfaces(): if interface.is_user_visible: if interface.type == "vr:webbrowser": print(f"- webpage: {interface.access_url}", file=file) else: service_item = (f"- {interface.standard_id.rsplit('/')[-1]}: " f"{interface.access_url}") if interface.capability_description: service_item += f", description: {interface.capability_description}" print(textwrap.fill(service_item, width, subsequent_indent=" "), file=file) if self.res_description: print(file=file) print(para_format_desc(self.res_description), file=file) print(file=file) if self.waveband: val = (str(v) for v in self.waveband) print( para_format_desc("Waveband Coverage: " + ", ".join(val)), file=file) if verbose: if self.source_value: print(f"\nSource: {self.source_value}", file=file) if self.creators: # if any creator has a name longer than 70 characters, we # truncate it. creators = [f"{creator[:70]}..." if len(creator) > 70 else creator for creator in self.creators] nmax_authors = 5 if len(creators) <= nmax_authors: print(f"Authors: {', '.join(creators)}", file=file) else: print(f"Authors: {', '.join(creators[:nmax_authors])} et al.\n" "See creators attribute for the complete list of authors.", file=file) alt_identifiers = self.get_alt_identifiers() if alt_identifiers: print( "Alternative identifier(s): {}".format( ", ".join(alt_identifiers)), file=file) if self.reference_url: print("More info: " + self.reference_url, file=file) def get_contact(self): """ return contact information for this resource in a string. Use this to report bugs or unexpected downtime. """ res = get_RegTAP_service().run_sync(""" SELECT role_name, email, telephone FROM rr.res_role WHERE base_role='contact' AND ivoid={}""".format( rtcons.make_sql_literal(self.ivoid))) contacts = [] for row in res: contact = row["role_name"] if row["telephone"]: contact += f" ({row['telephone']})" if row["email"]: contact += f" <{row['email']}>" contacts.append(contact) return "\n".join(contacts) def get_alt_identifiers(self): """return a sequence of non-ivoid identifiers for the resource. This is typically used to provide a DOI for the resource. """ res = get_RegTAP_service().run_sync(""" SELECT alt_identifier FROM rr.alt_identifier WHERE ivoid={}""".format(rtcons.make_sql_literal(self.ivoid))) return [r["alt_identifier"] for r in res] def _build_vosi_column(self, column_row): """ return a io.vosi.vodataservice.Column element for a query result from get_tables. """ res = vodataservice.TableParam() for att_name in ["name", "ucd", "unit", "utype"]: setattr(res, att_name, column_row[att_name]) res.description = column_row["column_description"] # TODO: be more careful with the type; this isn't necessarily a # VOTable type (regrettably) res.datatype = vodataservice.VOTableType( arraysize=column_row["arraysize"], extendedType=column_row["extended_type"]) res.datatype.content = column_row["datatype"] return res def _build_vosi_table(self, table_row, columns): """ return a io.vosi.vodataservice.VODataServiceTable element for a query result from get_tables. """ res = vodataservice.VODataServiceTable() res.name = table_row["table_name"] res.title = table_row["table_title"] res.description = table_row["table_description"] res.utype = table_row["table_utype"] res._columns = [ self._build_vosi_column(row) for row in columns] res.origin = self return res def get_tables(self, *, table_limit=20): """ return the structure of the tables underlying the service. This returns a dict with table names as keys and vodataservice.VODataServiceTable objects as values (pretty much what tables returns for a TAP service). The table instances will have an ``origin`` attribute pointing back to the registry record. Note that not only TAP services can (and do) define table structures. The meaning of non-TAP tables is not always as clear. Also note that resources do not need to define tables at all. You will receive an empty dictionary if they don't. """ svc = get_RegTAP_service() tables = svc.run_sync( """SELECT table_name, table_description, table_index, table_title, table_utype FROM rr.res_table WHERE ivoid={}""".format( rtcons.make_sql_literal(self.ivoid))) if len(tables) > table_limit: raise dalq.DALQueryError(f"Resource {self.ivoid} reports" f" {len(tables)} tables. Pass a higher table_limit" " to see them all.") res = {} for table_row in tables: columns = svc.run_sync( """ SELECT name, ucd, unit, utype, datatype, arraysize, extended_type, column_description FROM rr.table_column WHERE ivoid={} AND table_index={}""".format( rtcons.make_sql_literal(self.ivoid), rtcons.make_sql_literal(table_row["table_index"]))) res[table_row["table_name"]] = self._build_vosi_table( table_row, columns) return res @deprecated("1.5", "ivoid2service does not work in the presence of" " multiple capabilities. Use" " registry.search(ivoid=...)[0].get_service('capname') instead.") def ivoid2service(ivoid, servicetype=None): """ return service(s) for a given IVOID. The servicetype option specifies the kind of service requested (conesearch, sia, sia2, ssa, slap, or tap). By default, if none is given, a list of all matching services is returned. """ constraints = [rtcons.Ivoid(ivoid)] if servicetype is not None: constraints.append(rtcons.Servicetype(servicetype)) resources = search(*constraints) if len(resources) == 0: if servicetype: raise dalq.DALQueryError(f"No resource {ivoid} with" f" {servicetype} capability.") else: raise dalq.DALQueryError(f"No resource {ivoid}") # We're grouping by ivoid in search, so if there's a result # there is only one. resource = resources[0] return resource.get_service(servicetype, lax=True) astropy-pyvo-b70558c/pyvo/registry/rtcons.py000066400000000000000000001267301510533647000213110ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ Constraints for doing registry searches. The Constraint class encapsulates a query fragment in a RegTAP query, e.g., a keyword, a sky location, an author name, a class of services. They are used either directly as arguments to registry.search, or by passing keyword arguments into registry.search. The mapping from keyword arguments to constraint classes happens through the _keyword attribute in Constraint-derived classes. """ import datetime import warnings from astropy import units as u from astropy import constants from astropy.coordinates import SkyCoord from astropy.utils.exceptions import AstropyDeprecationWarning import numpy from ..dal import query as dalq from ..utils import vocabularies from .import regtap # Classes from this module are exposed at the higher level namespace, not listing them here __all__ = ["build_regtap_query"] # a mapping of service type shorthands to the ivoids of the # corresponding standards. This is mostly to keep legacy APIs. # In the future, preferably rely on shorten_stdid and expand_stdid # from regtap. SERVICE_TYPE_MAP = {k: "ivo://ivoa.net/std/" + v for k, v in [ ("image", "sia"), ("sia", "sia"), ("sia1", "sia"), # SIA2 is irregular # funky scheme used by SIA2 without breaking everything else ("spectrum", "ssa"), ("ssap", "ssa"), ("ssa", "ssa"), ("scs", "conesearch"), ("conesearch", "conesearch"), ("line", "slap"), ("slap", "slap"), ("table", "tap"), ("tap", "tap"), ]} class RegTAPFeatureMissing(dalq.DALQueryError): """ Raised when the current RegTAP server does not support a feature needed for a constraint. This could be that it is missing some ADQL feature indispensible to write that constraint, or because it is missing a table or column. To recover, choose another RegTAP service. Search constraining ``datamodel="regtap"``, and then use `pyvo.registry.choose_RegTAP_service` with a TAP access URL discovered in this way. """ class _AsIs(str): """a sentinel class make `make_sql_literal` not escape a string. """ def make_sql_literal(value): """makes a SQL literal from a python value. This is not suitable as a device to ward against SQL injections; in what we produce, callers could produce arbitrary SQL anyway. The point of this function is to minimize surprises when building constraints. Parameters ---------- value : object Conceptually, the function should produces SQL literals for anything that might reasonably add up in a registry query. In reality, a ValueError will be raised for anything we do not know about. Returns ------- str A SQL literal. """ if isinstance(value, _AsIs): return value if isinstance(value, str): return "'{}'".format(value.replace("'", "''")) elif isinstance(value, bytes): return "'{}'".format(value.decode("ascii").replace("'", "''")) elif isinstance(value, (int, numpy.integer, float, numpy.floating)): return f'{value}' elif isinstance(value, datetime.datetime): return f"'{value.isoformat()}'" elif isinstance(value, set): return '('+", ".join(make_sql_literal(s) for s in sorted(value))+')' else: raise ValueError("Cannot format {} as a SQL literal" .format(repr(value))) def format_function_call(func_name, args): """make an ADQL literal for a function call with arguments. Parameters ---------- func_name : str the name of the function to call. args : sequence of anything python values for the arguments for the function. Returns ------- str ADQL ready for inclusion into a query. """ return "{}({})".format( func_name, ", ".join(make_sql_literal(a) for a in args)) class Constraint: """an abstract base class for data discovery contraints. These, essentially, are configurable RegTAP query fragments, consisting of a where clause, parameters for filling that, and possibly additional tables. Users construct concrete constraints with whatever they would like to constrain things with. To implement a new constraint, in the constructor set ``_condition`` to a string with {}-type replacement fields (assume all parameters are strings), and define ``fillers`` to be a dictionary with values for the _condition template. Don't worry about SQL-serialising the values, Constraint takes care of that. If you need your Constraint to be "lazy" (cf. Servicetype), it's ok to overrride get_search_condition without an upcall to Constraint. If your constraints need extra tables, give them in a list in _extra_tables. For the legacy x_search with keywords, define a _keyword attribute containing the name of the parameter that should generate such a constraint. When pickung up such keywords, sequence values will in general be unpacked and turned into sequences of constraints. Constraints that want to the all arguments in the constructor can set takes_sequence to True. """ # TODO: _extra_tables is only used in the legacy leg of # the fulltext constraint any more, and there it's wrong, too. # Let's do away with extra_tables and tell people to use # SubqueriedConstraint whenever they think they need it. _extra_tables = [] _condition = None _fillers = None _keyword = None takes_sequence = False def get_search_condition(self, service): """ Formats this constraint to an ADQL fragment. This takes the service the constraint is being executed on as an argument because constraints may be written differently depending on the service's features or refuse to run altogether. Parameters ---------- service : `~pyvo.dal.TAPService` The RegTAP service the query is supposed to be run on (that is relevant because we adapt to the features available on given services). Returns ------- str A string ready for inclusion into a WHERE clause. """ if self._condition is None: raise NotImplementedError("{} is an abstract Constraint" .format(self.__class__.__name__)) return self._condition.format(**self._get_sql_literals()) def _get_sql_literals(self): """ returns self._fillers as a dictionary of properly SQL-escaped literals. """ if self._fillers: return {k: make_sql_literal(v) for k, v in self._fillers.items()} return {} class SubqueriedConstraint(Constraint): """ An (abstract) constraint for when the constraint is over a table other than rr.resource. We need to be careful with these, because they will in general have 1:n relationships to rr.resource, and these will lead to duplicated interfaces if we just do the NATURAL JOIN we normally do. Instead, we have to resort to ivoid in (subquery) conditions. In particular, extra_tables will always be empty for these. To configure those, give the table to query in _subquery_table and _condition, _fillers, and _keyword as usual. The rest is taken care of by get_search_condition. """ _subquery_table = None def get_search_condition(self, service): if self._condition is None or self._subquery_table is None: raise NotImplementedError("{} is an abstract Constraint" .format(self.__class__.__name__)) return ("ivoid IN (SELECT DISTINCT ivoid FROM {subquery_table}" " WHERE {condition})".format( subquery_table=self._subquery_table, condition=self._condition.format(**self._get_sql_literals()))) class Freetext(Constraint): """ A constraint using plain text to match against title, description, subjects, and person names. """ _keyword = "keywords" def __init__(self, *words: str): """ Parameters ---------- *words : str One or more string arguments. It is recommended to pass multiple words in multiple strings arguments. You can pass in phrases (i.e., multiple words separated by space), but behaviour might then vary quite significantly between different registries. Examples -------- >>> from pyvo import registry >>> registry.Freetext("Gamma", "Ray", "Burst") # doctest: +IGNORE_OUTPUT """ self.words = words def get_search_condition(self, service): # cross-table ORs kill the query planner. We therefore # write the constraint as an IN condition on a UNION # of subqueries if we can (i.e., the service has UNION); # It may look as if this has to be really slow, but in fact it's almost # always a lot faster than direct ORs. if service.get_tap_capability().get_adql().get_feature( "ivo://ivoa.net/std/TAPRegExt#features-adql-sets", "UNION"): return self._get_union_condition(service) else: self._extra_tables = ["rr.res_subject"] return self._get_or_condition(service) def _get_union_condition(self, service): base_queries = [ "SELECT DISTINCT ivoid FROM rr.resource WHERE" " 1=ivo_hasword(res_description, {{{parname}}})", "SELECT DISTINCT ivoid FROM rr.resource WHERE" " 1=ivo_hasword(res_title, {{{parname}}})", "SELECT DISTINCT ivoid FROM rr.res_subject WHERE" " rr.res_subject.res_subject ILIKE {{{parpatname}}}"] self._fillers, subqueries = {}, [] for index, word in enumerate(self.words): parname = f"fulltext{index}" parpatname = f"fulltextpar{index}" self._fillers[parname] = word self._fillers[parpatname] = '%' + word + '%' args = locals() subqueries.append(" UNION ALL ".join( q.format(**args) for q in base_queries)) self._condition = " AND ".join( f"ivoid IN ({part})" for part in subqueries) return super().get_search_condition(service) def _get_or_condition(self, service): base_queries = [ " 1=ivo_hasword(res_description, {{{parname}}})", " 1=ivo_hasword(res_title, {{{parname}}})", " rr.res_subject.res_subject ILIKE {{{parpatname}}}"] self._fillers, conditions = {}, [] for index, word in enumerate(self.words): parname = f"fulltext{index}" parpatname = f"fulltextpar{index}" self._fillers[parname] = word self._fillers[parpatname] = '%' + word + '%' args = locals() conditions.append(" OR ".join( q.format(**args) for q in base_queries)) self._condition = " AND ".join(f"({part})" for part in conditions) return super().get_search_condition(service) class Author(SubqueriedConstraint): """ A constraint for creators (“authors”) of a resource; you can use SQL patterns here. The match is case-sensitive. """ _keyword = "author" _subquery_table = "rr.res_role" def __init__(self, name: str): """ Parameters ---------- name : str Note that regrettably there are no guarantees as to how authors are written in the VO. This means that you will generally have to write things like ``%Hubble%`` (% being “zero or more characters” in SQL) here. """ self._condition = "role_name LIKE {auth} AND base_role='creator'" self._fillers = {"auth": name} class Servicetype(Constraint): """ A constraint for for the availability of a certain kind of service on the result. The constraint normally is a custom keyword, one of: * ``sia``, ``sia1`` (SIAP version 1 services; prefer ``sia1`` for symmetry, although ``sia`` will be kept as the official IVOA short name for SIA1) * ``sia2`` (SIAP version 2 services) * ``ssa``, ``ssap`` (synonymous for SSAP services) * ``scs``, ``conesearch`` (synonymous for cone search services, prefer ``scs``) * ``line`` (for SLAP services) * ``tap``, ``table`` (synonymous for TAP services, prefer ``tap``) * ``image`` (a deprecated alias for sia) * ``spectrum`` (a deprecated alias for ssap) You can also pass in the standards' ivoid (which generally looks like ``ivo://ivoa.net/std/`` (except for SIA2) and have to be URIs with a scheme part in any case); note, however, that for standards pyVO does not know about it will not build service instances for you. Multiple service types can be passed in; a match in that case is for records having any of the service types passed in. Contrary to what the names of the service types may suggest, “image” and "spectrum" do *not* select all resources serving images or spectra. For instance, at the moment you would have to search for images served in three different ways: SIAv1, SIAv2, and ObsTAP. Against that, “image” only selects SIAv1, and "spectrum" similarly omits ObsTAP. A global discovery module is under active development to provide global dataset discovery. When it is ready, these two misleading options may be removed. The match is literal (i.e., no patterns are allowed); this means that you will not receive records that only have auxiliary services, which is what you want when enumerating all services of a certain type in the VO. In data discovery, you can use ``Servicetype(...).include_auxiliary_services()`` or use registry.search's ``includeaux`` parameter; but, really, there is little point using this constraint in data discovery in the first place. """ _keyword = "servicetype" def __init__(self, *stds): """ Parameters ---------- *stds : str one or more standards identifiers. The constraint will match records that have any of them. """ self.stdids = set() self.extra_fragments = [] for std in stds: if std in ('image', 'spectrum'): warnings.warn(AstropyDeprecationWarning( f"The '{std}' servicetype is deprecated. See" " https://pyvo.readthedocs.io/en/latest/api/pyvo.registry" ".Servicetype.html#pyvo.registry.Servicetype" " for more information.")) if std in SERVICE_TYPE_MAP: self.stdids.add(SERVICE_TYPE_MAP[std]) elif "://" in std: self.stdids.add(std) elif std == 'sia2': self.extra_fragments.append( "standard_id like 'ivo://ivoa.net/std/sia#query-2.%'") elif std == 'hats': self.extra_fragments.append( "standard_id like 'ivo://ivoa.net/std/hats#hats-%'") elif std == 'hips': self.extra_fragments.append( "standard_id like 'ivo://ivoa.net/std/hips#hipslist-%'") else: raise dalq.DALQueryError("Service type {} is neither a full" " standard URI nor one of the bespoke identifiers" " {}, sia2, hats, hips".format(std, ", ".join(SERVICE_TYPE_MAP))) def clone(self): """returns a copy of this servicetype constraint. """ new_constraint = Servicetype() new_constraint.stdids = set(self.stdids) new_constraint.extra_fragments = self.extra_fragments[:] return new_constraint def get_search_condition(self, service): # we sort the stdids to make it easy for tests (and it's # virtually free for the small sets we have here). fragments = [] std_ids = ", ".join(make_sql_literal(s) for s in sorted(self.stdids)) if std_ids: fragments.append(f"standard_id IN ({std_ids})") return " OR ".join(fragments + self.extra_fragments) def include_auxiliary_services(self): """returns a Servicetype constraint that has self's service types but includes the associated auxiliary services. This is a convenience to maintain registry.search's signature. """ expanded = self.clone() expanded.stdids |= { std + '#aux' for std in expanded.stdids} if "standard_id like 'ivo://ivoa.net/std/sia#query-2.%'" in expanded.extra_fragments: expanded.extra_fragments.append( "standard_id like 'ivo://ivoa.net/std/sia#query-aux-2.%'") return expanded class Waveband(Constraint): """ A constraint on messenger particles. This builds a constraint against rr.resource.waveband, i.e., a verbal indication of the messenger particle, coming from the IVOA vocabulary http://www.ivoa.net/rdf/messenger. The :py:class:`pyvo.registry.Spectral` constraint enables selections by particle energy, but few resources actually give the necessary metadata (in 2021). Multiple wavebands can be given (and are effectively combined with OR). """ _keyword = "waveband" _legal_terms = None def __init__(self, *bands): """ Parameters ---------- *bands : strings One or more of the terms given in http://www.ivoa.net/rdf/messenger. The constraint matches when a resource declares at least one of the messengers listed. """ if self.__class__._legal_terms is None: self.__class__._legal_terms = {w.lower() for w in vocabularies.get_vocabulary("messenger")["terms"]} bands = [band.lower() for band in bands] for band in bands: if band not in self._legal_terms: raise dalq.DALQueryError( f"Waveband {band} is not in the IVOA messenger" " vocabulary http://www.ivoa.net/rdf/messenger.") self.bands = list(bands) self._condition = " OR ".join( "1 = ivo_hashlist_has(rr.resource.waveband, {})".format( make_sql_literal(band)) for band in self.bands) class Datamodel(SubqueriedConstraint): """ A constraint on the adherence to a data model. This constraint only lets resources pass that declare support for one of several well-known data models; the SQL produced depends on the data model identifier. Records returned with these constraints will have a TAP (or auxiliary TAP) capability. Known data models at this point include: * obscore -- generic observational data * epntap -- solar system data * regtap -- the VO registry. * obscore-new -- the table-based new-style obscore discovery. Don't use in code built to last: this will become normal obscore when we have migrated the VO. DM names are matched case-insensitively here mainly for historical reasons. """ _keyword = "datamodel" # if you add to this list, you have to define a method # _make__constraint. _known_dms = {"obscore", "epntap", "regtap", "obscore_new"} def __init__(self, dmname): """ Parameters ---------- dmname : string A well-known name; currently one of obscore, epntap, and regtap. """ dmname = dmname.lower() if dmname not in self._known_dms: raise dalq.DALQueryError("Unknown data model id {}. Known are: {}." .format(dmname, ", ".join(sorted(self._known_dms)))) self._subquery_table, self._condition = getattr( self, f"_make_{dmname}_constraint")() def _make_obscore_constraint(self): # There was a bit of chaos with the DM ids for Obscore. # Be lenient here obscore_pat = 'ivo://ivoa.net/std/obscore%' return "rr.res_detail", ( "detail_xpath = '/capability/dataModel/@ivo-id'" f" AND 1 = ivo_nocasematch(detail_value, '{obscore_pat}')") def _make_obscore_new_constraint(self): return "rr.res_table NATURAL JOIN rr.resource", ( "table_utype LIKE 'ivo://ivoa.net/std/obscore#table-1.%'" # Only use catalogresource-typed records to keep out # full TAP services that may have the table in their # tablesets. " AND res_type = 'vs:catalogresource'") def _make_epntap_constraint(self): # we include legacy, pre-IVOA utypes for matches; lowercase # any new identifiers (utypes case-fold). return "rr.res_table", " OR ".join( f"table_utype LIKE '{pat}'" for pat in ['ivo://vopdc.obspm/std/epncore#schema-2.%', 'ivo://ivoa.net/std/epntap#table-2.%']) def _make_regtap_constraint(self): regtap_pat = 'ivo://ivoa.net/std/RegTAP#1.%' return "rr.res_detail", ( "detail_xpath = '/capability/dataModel/@ivo-id'" f" AND 1 = ivo_nocasematch(detail_value, '{regtap_pat}')") class Ivoid(Constraint): """ A constraint selecting a single resource by its IVOA identifier. """ _keyword = "ivoid" def __init__(self, ivoid, *more_ivoids): """ Parameters ---------- ivoid : string One or more string arguments. The IVOA identifier of the resource to match. As RegTAP requires lowercasing ivoids on ingestion, the constraint lowercases the ivoid passed in, too. more_ivoids : strings You can pass in multiple ivoids to match. As usual, they are combined by an or. """ self.ivoids = [id.lower() for id in (ivoid,) + more_ivoids] def get_search_condition(self, service): return " OR ".join( f"ivoid={make_sql_literal(id)}" for id in self.ivoids) class UCD(SubqueriedConstraint): """ A constraint selecting resources having tables with columns having UCDs matching a SQL pattern (% as wildcard). """ _keyword = "ucd" _subquery_table = "rr.table_column" def __init__(self, *patterns): """ Parameters ---------- patterns : strings SQL patterns (i.e., ``%`` is 0 or more characters) for UCDs. The constraint will match when a resource has at least one column matching one of the patterns. """ self._condition = " OR ".join( f"ucd LIKE {{ucd{i}}}" for i in range(len(patterns))) self._fillers = {f"ucd{index}": pattern for index, pattern in enumerate(patterns)} class UAT(SubqueriedConstraint): """ A constraint selecting resources having UAT keywords as subjects. The UAT (Unified Astronomy Thesaurus) is a hierarchical system of concepts in astronomy. In the VO, its concept identifiers are dashed strings, something like ``x-ray-transient-sources``. The full list of identifiers is available from http://www.ivoa.net/rdf/uat. Note that not all data providers properly use UAT keywords in their subjects even in 2025 (they should, though), and their keyword assignments may not always be optimal. Consider doing free text searches if UAT-based results are disappointing, and then telling the respective data providers about missing keywords. """ _keyword = "uat" _subquery_table = "rr.res_subject" _condition = "res_subject in {query_terms}" _uat = None @classmethod def _expand(cls, term, level, direction): """ Recursively expand term in the uat. This returns a set of concepts that are ``level`` levels wider or narrower (depending on the value of ``direction``) than term. This function assumes the _uat class attribute has been filled before; that is the case once a constraint has been constructed. Parameters ---------- term: str the start term level: int expand this many levels direction: str either ``wider`` to expand towards more general concepts or ``narrower`` to expand toward more specialised concepts. """ result = {term} new_concepts = cls._uat[term][direction] if level: for concept in new_concepts: result |= cls._expand(concept, level-1, direction) return result def __init__(self, uat_keyword, *, expand_up=0, expand_down=0): """ Parameters ---------- uat_keyword: str An identifier from http://www.ivoa.net/rdf/uat, i.e., a string like type-ib-supernovae. Note that these are always all-lowercase. expand_up: int In addition to the concept itself, also include expand_up levels of parent concepts (this is probably rarely makes sense beyond 1). expand_down: int In addition to the concept itself, also include expand_down levels of more specialised concepts (this is usually a good idea; having more than 10 here for now is equivalent to infinity). """ if self.__class__._uat is None: self.__class__._uat = vocabularies.get_vocabulary("uat")["terms"] if uat_keyword not in self._uat: raise dalq.DALQueryError( f"{uat_keyword} does not identify an IVOA uat" " concept (see http://www.ivoa.net/rdf/uat).") query_terms = {uat_keyword} if expand_up: query_terms |= self._expand(uat_keyword, expand_up, "wider") if expand_down: query_terms |= self._expand(uat_keyword, expand_down, "narrower") self._fillers = {"query_terms": query_terms} class Spatial(SubqueriedConstraint): """ A RegTAP constraint selecting resources covering a geometry in space. This is a RegTAP 1.2 extension not yet available on all Registries (in 2022). Also note that not all data providers give spatial coverage for their resources. To find resources having data for RA/Dec 347.38/8.6772:: >>> from pyvo import registry >>> resources = registry.Spatial((347.38, 8.6772)) To find resources claiming to have data for a spherical circle 2 degrees around that point:: >>> resources = registry.Spatial((347.38, 8.6772, 2)) To find resources claiming to have data for a polygon described by the vertices (23, -40), (26, -39), (25, -43) in ICRS RA/Dec:: >>> resources = registry.Spatial([23, -40, 26, -39, 25, -43]) To find resources claiming to cover a MOC_, pass an ASCII MOC:: >>> resources = registry.Spatial("0/1-3 3/") .. _MOC: https://www.ivoa.net/documents/MOC/ To find resources which coverage is enclosed in a region, >>> enclosed = registry.Spatial("0/0-11", intersect="enclosed") To find resources which coverage intersects a region, >>> overlaps = registry.Spatial("0/0-11", intersect="overlaps") When you already have an astropy SkyCoord:: >>> from astropy.coordinates import SkyCoord >>> resources = registry.Spatial(SkyCoord("23d +3d")) SkyCoords also work as circle centers (plain floats for the radius are interpreted in degrees):: >>> resources = registry.Spatial((SkyCoord("23d +3d"), 3)) Or you can provide the radius angle as an Astropy Quantity: >>> resources = registry.Spatial((SkyCoord("23d +3d"), 1*u.rad)) """ _keyword = "spatial" _subquery_table = "rr.stc_spatial" takes_sequence = True def __init__(self, geom_spec, *, order=6, intersect="covers", inclusive=False): """ Parameters ---------- geom_spec : object For now, this is DALI-style: a 2-sequence is interpreted as a DALI point, a 3-sequence as a DALI circle, a 2n sequence as a DALI polygon. Additionally, strings are interpreted as ASCII MOCs, SkyCoords as points, and a pair of a SkyCoord and a float or Quantity as a circle. Other types (proper geometries or MOCPy objects) might be supported in the future. order : int, optional Non-MOC geometries are converted to MOCs before comparing them to the resource coverage. By default, this constraint uses order 6, which corresponds to about a degree of resolution and is what RegTAP recommends as a sane default for the order actually used for the coverages in the database. intersect : str, optional Allows to specify the connection between the resource coverage and the *geom_spec*. The possible values are 'covers' for services that completely cover the *geom_spec* region, 'enclosed' for services completely enclosed in the region and 'overlaps' for services which coverage intersect the region. inclusive : bool, optional Normally, this constraint will remove all resources that do not declare their spatial coverage. Pass inclusive=True to retain these. """ self.inclusive = inclusive def tomoc(s): return _AsIs(f"MOC({order}, {s})") if isinstance(geom_spec, str): geom = _AsIs("MOC({})".format( make_sql_literal(geom_spec))) elif isinstance(geom_spec, SkyCoord): geom = tomoc(format_function_call("POINT", (geom_spec.ra.value, geom_spec.dec.value))) elif len(geom_spec) == 2: if isinstance(geom_spec[0], SkyCoord): # If radius given is astropy quantity, then convert to degrees if isinstance(geom_spec[1], u.Quantity): if geom_spec[1].unit.physical_type != 'angle': raise ValueError("Radius quantity is not of type angle.") radius = geom_spec[1].to(u.deg).value else: radius = geom_spec[1] geom = tomoc(format_function_call("CIRCLE", [geom_spec[0].ra.value, geom_spec[0].dec.value, radius])) else: geom = tomoc(format_function_call("POINT", geom_spec)) elif len(geom_spec) == 3: geom = tomoc(format_function_call("CIRCLE", geom_spec)) elif len(geom_spec) % 2 == 0: geom = tomoc(format_function_call("POLYGON", geom_spec)) else: raise ValueError("This constraint needs DALI-style geometries.") if intersect == "covers": self._condition = f"1 = CONTAINS({geom}, coverage)" elif intersect == "enclosed": self._condition = f"1 = CONTAINS(coverage, {geom})" elif intersect == "overlaps": self._condition = f"1 = INTERSECTS(coverage, {geom})" else: raise ValueError("'intersect' should be one of 'covers', 'enclosed', or 'overlaps' " f"but its current value is '{intersect}'.") def get_search_condition(self, service): # we *could* make this a bit less demanding on the server # if we MOC-ified the geometries locally -- but then we'd # have to depend on pymoc, and that's too high a price for # something as esoteric as a server that understands # MOC-based geometries but does not have a MOC function. if not service.get_tap_capability().get_adql().get_feature( "ivo://org.gavo.dc/std/exts#extra-adql-keywords", "MOC"): raise RegTAPFeatureMissing( "Current RegTAP service does not support MOC.") # We should compare case-insensitively here, but then we don't # with delimited identifiers -- in the end, that would have to # be handled in dal.vosi.VOSITables. if "rr.stc_spatial" not in service.tables: raise RegTAPFeatureMissing( "stc_spatial missing on current RegTAP service") cond = super().get_search_condition(service) if self.inclusive: return cond[:-1]+" OR coverage IS NULL)" else: return cond class Spectral(SubqueriedConstraint): """ A RegTAP constraint on the spectral coverage of resources. This is a RegTAP 1.2 extension not yet available on all Registries (in 2022). Worse, not too many resources bother declaring this at this point. For robustness, it might be preferable to use the `Waveband` constraint for the time being.. This constraint accepts quantities, i.e., values with units, and will convert them to RegTAP's representation (which is Joule of particle energy) if it can. This ought to work for wavelengths, frequencies, and energies. Plain numbers are interpreted as particle energies in Joule. RegTAP uses the observer frame at the solar system barycenter, but it is probably wise to use constraints suitably relaxed such that frame and reference position (within reason) do not matter. To find resources covering the messenger particle energy 5 eV:: >>> from astropy import units as u >>> from pyvo import registry >>> resources = registry.Spectral(5*u.eV) To find resources overlapping the band between 5000 and 6000 Ångström:: >>> resources = registry.Spectral((5000*u.Angstrom, 6000*u.Angstrom)) To find resources having data in the FM band:: >>> resources = registry.Spectral((88*u.MHz, 102*u.MHz)) """ _keyword = "spectral" _subquery_table = "rr.stc_spectral" takes_sequence = True def __init__(self, spec, *, inclusive=False): """ Parameters ---------- spec : astropy.Quantity or a 2-tuple of astropy.Quantity-s A spectral point or interval to cover. This must be a wavelength, a frequency, or an energy, or a pair of such quantities, in which case the argument is interpreted as an interval. All resources *overlapping* the interval are returned. Plain floats are interpreted as messenger energy in Joule. inclusive : bool, optional Normally, this constraint will remove all resources that do not declare their spectral coverage. Pass inclusive=True to retain these. """ self.inclusive = inclusive if isinstance(spec, tuple): self._fillers = { "spec_lo": self._to_joule(spec[0]), "spec_hi": self._to_joule(spec[1])} self._condition = ("1 = ivo_interval_overlaps(" "spectral_start, spectral_end, {spec_lo}, {spec_hi})") else: self._fillers = { "spec": self._to_joule(spec)} self._condition = "{spec} BETWEEN spectral_start AND spectral_end" def _to_joule(self, quant): """returns a spectral quantity as a float in joule. A plain float is returned as-is. """ if isinstance(quant, (float, int)): return quant try: # is it an energy? return quant.to(u.Joule).value except u.UnitConversionError: pass # try next try: # is it a wavelength? return (constants.h * constants.c / quant.to(u.m)).value except u.UnitConversionError: pass # try next try: # is it a frequency? return (constants.h * quant.to(u.Hz)).value except u.UnitConversionError: pass # fall through to give up raise ValueError(f"Cannot make a spectral quantity out of {quant}") def get_search_condition(self, service): if "rr.stc_spectral" not in service.tables: raise RegTAPFeatureMissing( "stc_spectral missing on current RegTAP service") cond = super().get_search_condition(service) if self.inclusive: return (f"({cond}) OR NOT EXISTS(" "SELECT 1 FROM rr.stc_spectral AS inner_s WHERE" " inner_s.ivoid=rr.resource.ivoid)") else: return cond class Temporal(SubqueriedConstraint): """ A RegTAP constraint on the temporal coverage of resources. This is a RegTAP 1.2 extension not yet available on all Registries (in 2022). Worse, not too many resources bother declaring this at this point. Until this changes, you will probably have a lot of false negatives (i.e., resources that should match but do not because they are not declaring their time coverage) if you use this constraint. This constraint accepts astropy Time instances or pairs of Times when specifying intervals. Plain numbers will be interpreted as MJD. RegTAP uses TDB times at the solar system barycenter, and it is probably wise to relax constraints such that such details do not matter. This constraint does not attempt any conversions of time scales or reference positions. To find resources claiming to have data for Jan 10, 2022:: >>> from pyvo import registry >>> from astropy.time import Time >>> resources = registry.Temporal(Time('2022-01-10')) To find resources claiming to have data for some time between MJD 54130 and 54200:: >>> resources = registry.Temporal((54130, 54200)) """ _keyword = "temporal" _subquery_table = "rr.stc_temporal" takes_sequence = True def __init__(self, times, *, inclusive=False): """ Parameters ---------- spec : astropy.Time or a 2-tuple of astropy.Time-s A point in time or time interval to cover. Plain numbers are interpreted as MJD. All resources *overlapping* the interval are returned. inclusive : bool, optional Normally, this constraint will remove all resources that do not declare their temproal coverage. Pass inclusive=True to retain these. """ self.inclusive = inclusive if isinstance(times, tuple): self._fillers = { "time_lo": self._to_mjd(times[0]), "time_hi": self._to_mjd(times[1])} self._condition = ("1 = ivo_interval_overlaps(" "time_start, time_end, {time_lo}, {time_hi})") else: self._fillers = { "time": self._to_mjd(times)} self._condition = "{time} BETWEEN time_start AND time_end" def _to_mjd(self, quant): """returns a time specification in MJD. Times not corresponding to a single point in time are rejected. A plain float is returned as-is. """ if isinstance(quant, (float, int)): return quant val = quant.to_value('mjd') if not isinstance(val, numpy.number): raise ValueError("RegTAP time constraints must be made from" " single time instants.") return val def get_search_condition(self, service): if "rr.stc_temporal" not in service.tables: raise RegTAPFeatureMissing( "stc_temporal missing on current RegTAP service") cond = super().get_search_condition(service) if self.inclusive: return (f"({cond}) OR NOT EXISTS(" "SELECT 1 FROM rr.stc_temporal AS inner_t WHERE" " inner_t.ivoid=rr.resource.ivoid)") else: return cond # NOTE: If you add new Contraint-s, don't forget to add them in # registry.__init__, in docs/registry/index.rst and in the docstring # of regtap.query. def build_regtap_query(constraints, service): """returns a RegTAP query ready for submission from a list of Constraint instances. Parameters ---------- constraints : sequence of `~pyvo.registry.Constraint`-s A sequence of constraints for a RegTAP query. All of them will become part of a conjunction (i.e., all of them have to be satisfied for a record to match). service : `~pyvo.dal.TAPService` The RegTAP service the query is supposed to be run on (that is relevant because we adapt to the features available on given services). Returns ------- str An ADQL literal ready for submission to a RegTAP service. """ if not constraints: raise dalq.DALQueryError( "No search parameters passed to registry search") serialized, extra_tables = [], set() for constraint in constraints: if isinstance(constraint, str): constraint = Freetext(constraint) serialized.append( "(" + constraint.get_search_condition(service) + ")") extra_tables |= set(constraint._extra_tables) joined_tables = ["rr.resource", "rr.capability", "rr.interface" ] + list(sorted(extra_tables)) # see comment in regtap.RegistryResource for the following # oddity select_clause, plain_columns = [], [] for col_desc in regtap.RegistryResource.expected_columns: if isinstance(col_desc, str): select_clause.append(col_desc) plain_columns.append(col_desc) else: select_clause.append("{} AS {}".format(*col_desc)) fragments = ["SELECT", ", ".join(select_clause), "FROM", "\nNATURAL LEFT OUTER JOIN ".join(joined_tables), "WHERE", "\n AND ".join(serialized), "GROUP BY", ", ".join(plain_columns)] return "\n".join(fragments) def keywords_to_constraints(keywords): """returns constraints expressed as keywords as Constraint instances. Parameters ---------- keywords : dict regsearch arguments as a kwargs-style dictionary. Returns ------- sequence of `Constraint`-s Raises ------ DALQueryError if an unknown keyword is encountered. """ constraints = [] for keyword, value in keywords.items(): if keyword not in _KEYWORD_TO_CONSTRAINT: raise TypeError(f"{keyword} is not a valid registry" " constraint keyword. Use one of {}.".format( ", ".join(sorted(_KEYWORD_TO_CONSTRAINT)))) constraint_class = _KEYWORD_TO_CONSTRAINT[keyword] if (isinstance(value, (tuple, list)) and not constraint_class.takes_sequence): constraints.append(constraint_class(*value)) else: constraints.append(constraint_class(value)) return constraints def _make_constraint_map(): """returns a map of _keyword to constraint classes. This is used in module initialisation. """ keyword_to_constraint = {} for att_name, obj in globals().items(): if (isinstance(obj, type) and issubclass(obj, Constraint) and obj._keyword): keyword_to_constraint[obj._keyword] = obj return keyword_to_constraint _KEYWORD_TO_CONSTRAINT = _make_constraint_map() astropy-pyvo-b70558c/pyvo/registry/tests/000077500000000000000000000000001510533647000205605ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/registry/tests/__init__.py000066400000000000000000000001001510533647000226600ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst astropy-pyvo-b70558c/pyvo/registry/tests/commonfixtures.py000066400000000000000000000041171510533647000242170ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ Common fixtures for pyVO registry tests """ import pytest from astropy.utils.data import ( get_pkg_data_filename, import_file_to_cache) # We need to populate the vocabulary cache with our test data; # we cannot use requests_mock here because a.u.data uses urllib. from astropy.utils.data import _get_download_cache_loc, _url_to_dirname # noqa: F401 @pytest.fixture() def messenger_vocabulary(mocker): """the IVOA messenger vocabulary in astropy's cache. Should we clean up after ourselves? """ import_file_to_cache( 'http://www.ivoa.net/rdf/messenger', get_pkg_data_filename( 'data/messenger.desise', package=__package__)) # We need an object standing in for TAP services for query generation. # It would perhaps be nice to pull up a real TAPService instance from # capabilities and tables, but that's a non-trivial amount of XML. # Let's see how far we get with faking it. class _FakeLanguage: """ a stand-in for vosi.tapregext.Language for rtcons.Constrants. """ def __init__(self, features): self.features = features def get_feature(self, type, form): return (type, form) in self.features class _FakeTAPService: """ A stand-in for a TAP service intended for rtcons.Constraints. features is a set of (type, form) tuples for now. tables is a dict with table names as keys (let's worry about the values later). """ def __init__(self, features, tables): self.tables = tables adql_lang = _FakeLanguage(features) class _: def get_adql(otherself): return adql_lang self.tap_cap = _() def get_tap_capability(self): return self.tap_cap FAKE_GAVO = _FakeTAPService({ ("ivo://ivoa.net/std/TAPRegExt#features-adql-sets", "UNION"), ("ivo://org.gavo.dc/std/exts#extra-adql-keywords", "MOC"), }, { "rr.stc_spatial": None, "rr.stc_spectral": None, "rr.stc_temporal": None, }) FAKE_PLAIN = _FakeTAPService(frozenset(), {}) astropy-pyvo-b70558c/pyvo/registry/tests/conftest.py000066400000000000000000000012661510533647000227640ustar00rootroot00000000000000from contextlib import contextmanager import pytest import requests_mock class ContextAdapter(requests_mock.Adapter): """ requests_mock adapter where ``register_uri`` returns a context manager """ @contextmanager def register_uri(self, *args, **kwargs): matcher = super().register_uri(*args, **kwargs) yield matcher self.remove_matcher(matcher) def remove_matcher(self, matcher): if matcher in self._matchers: self._matchers.remove(matcher) @pytest.fixture(scope='function') def mocker(): with requests_mock.Mocker( adapter=ContextAdapter(case_sensitive=True) ) as mocker_ins: yield mocker_ins astropy-pyvo-b70558c/pyvo/registry/tests/data/000077500000000000000000000000001510533647000214715ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/registry/tests/data/README000066400000000000000000000001421510533647000223460ustar00rootroot00000000000000Instructions for how to update these data items should be found in the fixtures in test_regtap.py astropy-pyvo-b70558c/pyvo/registry/tests/data/capabilities.xml000066400000000000000000000504011510533647000246440ustar00rootroot00000000000000 http://dc.zah.uni-heidelberg.de/taphttps://dc.zah.uni-heidelberg.de/tapGloTS 1.0Registry 1.1Obscore-1.1ADQL2.02.1The Astronomical Data Query Language is the standard IVOA dialect of SQL; it contains a very general SELECT statement as well as some extensions for spherical geometry and higher mathematics.
gavo_apply_pm(ra DOUBLE PRECISION, dec DOUBLE PRECISION, pmra DOUBLE PRECISION, pmde DOUBLE PRECISION, epdist DOUBLE PRECISION) -> POINT
Returns a POINT (in the UNDEFINED reference frame) for the position an object at ra/dec with proper motion pmra/pmde has after epdist years. positions must be in degrees, PMs in should be in julian years (i.e., proper motions are expected in degrees/year). pmra is assumed to contain cos(delta). This function goes through the tangential plane. Since it does not have information on distance and radial velocity, it cannot reconstruct the true space motion, and hence its results will degrade over time. This function should not be used in new queries; use ivo_epoch_prop instead.
gavo_getauthority(ivoid TEXT) -> TEXT
returns the authority part of an ivoid (or, more generally a URI). So, ivo://org.gavo.dc/foo/bar#baz becomes org.gavo.dc. The behaviour for anything that's not a full URI is undefined.
gavo_ipix(long REAL, lat REAL) -> BIGINT
gavo_ipix returns the q3c ipix for a long/lat pair (it simply wraps the 13c_ang2ipix function). This is probably only relevant when you play tricks with indices or PPMXL ids.
gavo_match(pattern TEXT, string TEXT) -> INTEGER
gavo_match returns 1 if the POSIX regular expression pattern matches anything in string, 0 otherwise.
gavo_mocintersect(moc1 MOC, moc2 MOC) -> MOC
returns the intersection of two MOCs.
gavo_mocunion(moc1 MOC, moc2 MOC) -> MOC
returns the union of two MOCs.
gavo_specconv(expr DOUBLE PRECISION, dest_unit TEXT) -> DOUBLE PRECISION
returns the spectral value expr converted to dest_unit. expr has to be in either energy, wavelength, or frequency, and dest_unit must be a VOUnit giving another spectral unit (e.g., MHz, keV, nm, or Angstrom). This is intended to let users express spectral constraints in their preferred unit independently of the choice of unit in the database. Examples:: gavo_specconv(obscore.em_min, "keV") > 300 gavo_specconv(obscore.em_max, "MHz") > 30 gavo_specconv(spectral_start, "Angstrom") > 4000 There is a variant of gavo_specconv accepting expr's unit in a third argument.
gavo_specconv(expr NUMERIC, expr_unit TEXT, dest_unit TEXT) -> NUMERIC
returns expr assumed to be in expr_unit expressed in dest_unit. This is a variant of the two-argument gavo_specconv for when the unit of expr is not known to the ADQL translator, either because it because it is a literal or because it does not look like a spectral unit. Examples:: gavo_specconv(656, 'nm', 'J') BETWEEN spectral_start AND spectral_end gavo_specconv(arccos(phi)*incidence, 'Hz', 'eV') Clearly, overriding known units is likely to yield bad results; the translator therefore warns if an existing unit is overridden with a different unit.
gavo_vocmatch(vocname TEXT, term TEXT, matchagainst TEXT) -> INTEGER
returns 1 if matchagainst is term or narrower in the IVOA vocabulary vocname, 0 otherwise. This is intended for semantic querying. For instance, gavo_vocmatch('datalink/core', 'calibration', semantics) would be 1 if semantics is any of calibration, bias, dark, or flat. For RDF-flavoured vocabularies (strict trees), term will expand to the entire branch rooted in term. For SKOS-flavoured vocabularies (where narrower is not transitive), only directly narrower terms will be included. Both the term and the vocabulary name must be string literals (i.e., constants). matchagainst can be any string-valued expression.
ivo_epoch_prop(ra DOUBLE PRECISION, dec DOUBLE PRECISION, parallax DOUBLE PRECISION, pmra DOUBLE PRECISION, pmdec DOUBLE PRECISION, radial_velocity DOUBLE PRECISION, ref_epoch DOUBLE PRECISION, out_epoch DOUBLE PRECISION) -> DOUBLE PRECISION[6]
Returns a 6-vector of (ra, dec, parallax, pmra, pmdec, rv) at out_epoch for these quantities at ref_epoch. Essentially, it will apply the proper motion under the assumption of linear motion. Despite the name of the positional parameters, this is not restricted to equatorial systems, as long as positions and proper motions are expressed in the same reference frames. Units on input and output are degrees for ra and dec, mas for parallax, mas/yr for pmra and pmdec, and km/s for the radial velocity. ref_epoch and out_epoch are given in Julian years. parallax, pmra, pmdec, and radial_velocity may be None and will enter the computations as 0 then, except in the case of parallax, which will be some small value. When abs(parallax) is smaller or equal to that small value, parallax and radial velocity will be NULL on output. In daily use, you probably want to use the ivo_epoch_prop_pos functions.
ivo_epoch_prop_pos(ra DOUBLE PRECISION, dec DOUBLE PRECISION, parallax DOUBLE PRECISION, pmra DOUBLE PRECISION, pmdec DOUBLE PRECISION, radial_velocity DOUBLE PRECISION, ref_epoch DOUBLE PRECISION, out_epoch DOUBLE PRECISION) -> POINT
Returns a POINT giving the position at out_epoch for an object with the six parameters at ref_epoch. Essentially, it will apply the proper motion under the assumption of linear motion. Despite the name of the positional parameters, this is not restricted to equatorial systems, as long as positions and proper motions are expressed in the same reference frames. Units on input are degrees for ra and dec, mas for parallax, mas/yr for pmra and pmdec, and km/s for the radial velocity. ref_epoch and out_epoch are given in Julian years. parallax, pmra, pmdec, and radial_velocity may be None and will enter the computations as 0 then, except in the case of parallax, which will be some small value.
ivo_epoch_prop_pos(ra DOUBLE PRECISION, dec DOUBLE PRECISION, pmra DOUBLE PRECISION, pmdec DOUBLE PRECISION, ref_epoch DOUBLE PRECISION, out_epoch DOUBLE PRECISION) -> POINT
A variant of ivo_epoch_prop_pos that behave as if parallax and radial_velocity were both passed as NULL.
ivo_geom_transform(from_sys TEXT, to_sys TEXT, geo GEOMETRY) -> GEOMETRY
The function transforms ADQL geometries between various reference systems. geo can be a POINT, a CIRCLE, or a POLYGON, and the function will return a geometry of the same type. In the current implementation, from_sys and to_sys must be literal strings (i.e., they cannot be computed through expressions or be taken from database columns). All transforms are just simple rotations, which is only a rough approximation to the actual relationships between reference systems (in particular between FK4 and ICRS-based ones). Note that, in particular, the epoch is not changed (i.e., no proper motions are applied). We currently support the following reference frames: ICRS, FK5 (which is treated as ICRS), FK4 (for B1950. without epoch-dependent corrections), GALACTIC. Reference frame names are case-sensitive.
ivo_hashlist_has(hashlist TEXT, item TEXT) -> INTEGER
The function takes two strings; the first is a list of words not containing the hash sign (#), concatenated by hash signs, the second is a word not containing the hash sign. It returns 1 if, compared case-insensitively, the second argument is in the list of words coded in the first argument. The behaviour in case the the second argument contains a hash sign is unspecified.
ivo_hasword(haystack TEXT, needle TEXT) -> INTEGER
gavo_hasword returns 1 if needle shows up in haystack, 0 otherwise. This is for "google-like"-searches in text-like fields. In word, you can actually employ a fairly complex query language; see https://www.postgresql.org/docs/current/textsearch.html for details.
ivo_healpix_center(hpxOrder INTEGER, hpxIndex BIGINT) -> POINT
returns a POINT corresponding to the center of the healpix with the given index at the given order.
ivo_healpix_index(order INTEGER, ra DOUBLE PRECISION, dec DOUBLE PRECISION) -> BIGINT
Returns the index of the (nest) healpix with order containing the spherical point (ra, dec). An alternative, 2-argument form ivo_healpix_index(order INTEGER, p POINT) -> BIGINT is also available.
ivo_histogram(val REAL, lower REAL, upper REAL, nbins INTEGER) -> INTEGER[]
The aggregate function returns a histogram of val with nbins+2 elements. Assuming 0-based arrays, result[0] contains the number of underflows (i.e., val<lower), result[nbins+1] the number of overflows. Elements 1..nbins are the counts in nbins bins of width (upper-lower)/nbins. Clients will have to convert back to physical units using some external communication, there currently is no (meta-) data as lower and upper in the TAP response.
ivo_interval_has(val NUMERIC, iv INTERVAL) -> INTEGER
The function returns 1 if the interval iv contains val, 0 otherwise. The lower limit is always included in iv, behaviour on the upper limit is column-specific.
ivo_interval_overlaps(l1 NUMERIC, h1 NUMERIC, l2 NUMERIC, h2 NUMERIC) -> INTEGER
The function returns 1 if the interval [l1...h1] overlaps with the interval [l2...h2]. For the purposes of this function, the case l1=h2 or l2=h1 is treated as overlap. The function returns 0 for non-overlapping intervals.
ivo_nocasematch(value TEXT, pattern TEXT) -> INTEGER
ivo_nocasematch returns 1 if pattern matches value, 0 otherwise. pattern is defined as for the SQL LIKE operator, but the match is performed case-insensitively. This function in effect provides a surrogate for the ILIKE SQL operator that is missing from ADQL. On this site, this is actually implemented using python's and SQL's LOWER, so for everything except ASCII, your mileage will vary.
ivo_normal_random(mu REAL, sigma REAL) -> REAL
The function returns a random number drawn from a normal distribution with mean mu and width sigma. Implementation note: Right now, the Gaussian is approximated by summing up and scaling ten calls to random. This, hence, is not very precise or fast. It might work for some use cases, and we will provide a better implementation if this proves inadequate.
ivo_simbadpoint(identifier TEXT) -> POINT
gavo_simbadpoint queries simbad for an identifier and returns the corresponding point. Note that identifier can only be a literal, i.e., as simple string rather than a column name. This is because our database cannot query simbad, and we probably wouldn't want to fire off millions of simbad queries anyway; use simbad's own TAP service for this kind of application.
ivo_string_agg(expression TEXT, delimiter TEXT) -> TEXT
An aggregate function returning all values of expression within a GROUP contcatenated with delimiter
ivo_to_jd(d TIMESTAMP) -> DOUBLE PRECISION
The function converts a postgres timestamp to julian date. This is naive; no corrections for timezones, let alone time scales or the like are done; you can thus not expect this to be good to second-precision unless you are careful in the construction of the timestamp.
ivo_to_mjd(d TIMESTAMP) -> DOUBLE PRECISION
The function converts a postgres timestamp to modified julian date. This is naive; no corrections for timezones, let alone time scales or the like are done; you can thus not expect this to be good to second-precision unless you are careful in the construction of the timestamp.
BOX
POINT
CIRCLE
POLYGON
REGION
CENTROID
COORD1
COORD2
DISTANCE
CONTAINS
INTERSECTS
AREA
LOWER
ILIKE
OFFSET
CAST
IN_UNIT
WITH
TABLESAMPLE
Written after a table reference, TABLESAMPLE(10) will make the database only use 10% of the rows; these are `somewhat random' in that the system will use random blocks. This should be good enough when just testing queries (and much better than using TOP n).
MOC
A geometry function creating MOCs. It either takes a string argument with an ASCII MOC ('4/13 17-18 8/3002'), or an order and another geometry.
COALESCE
This is the standard SQL COALESCE for providing defaults in case of NULL values.
VECTORMATH
You can compute with vectors here. See https://wiki.ivoa.net/twiki/bin/view/IVOA/ADQLVectorMath for an overview of the functions and operators available.
CASE
The SQL92 CASE expression
UNION
EXCEPT
INTERSECT
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The terms are taken from the vocabulary http://ivoa.net/rdf/voresource/content_type. The allowed values for waveband include: Radio, Millimeter, Infrared, Optical, UV, EUV, X-ray, Gamma-ray.Unambiguous reference to the resource conforming to the IVOA standard for identifiers.Resource type (something like vg:authority, vs:catalogservice, etc).A short name or abbreviation given to something, for presentation in space-constrained fields (up to 16 characters).The full name given to the resource.A hash-separated list of content levels specifying the intended audience.An account of the nature of the resource.URL pointing to a human-readable document describing this resource.The creator(s) of the resource in the order given by the resource record author, separated by semicolons.The UTC date and time this resource metadata description was created.The UTC date this resource metadata description was last updated.A statement of usage conditions (license, attribution, embargo, etc).A hash-separated list of natures or genres of the content of the resource.The format of source_value. This, in particular, can be ``bibcode''.A bibliographic reference from which the present resource is derived or extracted.A single numeric value representing the angle, given in decimal degrees, by which a positional query against this resource should be ``blurred'' in order to get an appropriate match.A hash-separated list of regions of the electro-magnetic spectrum that the resource's spectral coverage overlaps with.An identifier for the resource or an entity related to the resource in URI form.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
astropy-pyvo-b70558c/pyvo/registry/tests/data/regtap.xml000066400000000000000000007524541510533647000235160ustar00rootroot00000000000000 ADQL query translated to local SQL (for debugging)Original ADQL queryQuery successfulSoftware that produced this VOTableBase URI of the serverAdvice on citing this resourceAdvice on citing this resourceAdvice on citing this resourceAdvice on citing this resourceAdvice on citing this resourceAdvice on citing this resourceAdvice on citing this resourceOriginating VO resourceData centre that has delivered the dataContact optionMore information on the data SourceMore information on the data SourceMore information on the data SourceMore information on the data SourceMore information on the data SourceMore information on the data SourceMore information on the data SourceName of a person or entity that produced a contributing resource The terms are taken from the vocabulary http://ivoa.net/rdf/voresource/content_level. The terms are taken from the vocabulary http://ivoa.net/rdf/voresource/content_type. The allowed values for waveband include: Radio, Millimeter, Infrared, Optical, UV, EUV, X-ray, Gamma-ray.Unambiguous reference to the resource conforming to the IVOA standard for identifiers.Resource type (something like vg:authority, vs:catalogservice, etc).A short name or abbreviation given to something, for presentation in space-constrained fields (up to 16 characters).The full name given to the resource.A hash-separated list of content levels specifying the intended audience.An account of the nature of the resource.URL pointing to a human-readable document describing this resource.The creator(s) of the resource in the order given by the resource record author, separated by semicolons.The UTC date and time this resource metadata description was created.The UTC date this resource metadata description was last updated.A statement of usage conditions (license, attribution, embargo, etc).A hash-separated list of natures or genres of the content of the resource.The format of source_value. This, in particular, can be ``bibcode''.A bibliographic reference from which the present resource is derived or extracted.A single numeric value representing the angle, given in decimal degrees, by which a positional query against this resource should be ``blurred'' in order to get an appropriate match.A hash-separated list of regions of the electro-magnetic spectrum that the resource's spectral coverage overlaps with.An identifier for the resource or an entity related to the resource in URI form.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astropy-pyvo-b70558c/pyvo/registry/tests/test_regtap.py000066400000000000000000001032641510533647000234610ustar00rootroot00000000000000#!/usr/bin/env python # Licensed under a 3-clause BSD style license - see LICENSE.rst """ Tests for pyvo.registry.regtap """ import io import re from functools import partial from urllib.parse import parse_qsl import pytest from astropy import time from pyvo.registry import regtap from pyvo.registry import rtcons from pyvo.registry.regtap import REGISTRY_BASEURL from pyvo.registry import search as regsearch from pyvo.dal import DALOverflowWarning from pyvo.dal import query as dalq from pyvo.dal import tap, sia2 from astropy.utils.data import get_pkg_data_contents from .commonfixtures import messenger_vocabulary, FAKE_GAVO # noqa: F401 get_pkg_data_contents = partial( get_pkg_data_contents, package=__package__, encoding='binary') @pytest.fixture(name='capabilities') def _capabilities(mocker, scope="session"): def callback(request, context): return get_pkg_data_contents('data/capabilities.xml') with mocker.register_uri( 'GET', REGISTRY_BASEURL + '/capabilities', content=callback ) as matcher: yield matcher # to update this, run # import requests # from pyvo.registry import regtap # # with open("data/regtap.xml", "wb") as f: # f.write(requests.get(regtap.REGISTRY_BASEURL+"/sync", { # "LANG": "ADQL", # "QUERY": regtap.get_RegTAP_query(keywords="pulsar", ucd=["pos.distance"])}).content) @pytest.fixture(name='regtap_pulsar_distance_response') def _regtap_pulsar_distance_response(mocker, capabilities, scope="session"): with mocker.register_uri( 'POST', REGISTRY_BASEURL + '/sync', content=get_pkg_data_contents('data/regtap.xml')) as matcher: yield matcher @pytest.fixture() def keywords_fixture(mocker, capabilities, scope="session"): def keywordstest_callback(request, context): data = dict(parse_qsl(request.body)) query = data['QUERY'] assert "res_subject ILIKE '%vizier%'" in query assert "ivo_hasword(res_description, 'vizier')" in query assert "1=ivo_hasword(res_title, 'vizier')" in query assert ".res_subject ILIKE '%pulsar%'" in query assert "1=ivo_hasword(res_description, 'pulsar')" in query assert "1=ivo_hasword(res_title, 'pulsar')" in query return get_pkg_data_contents('data/regtap.xml') with mocker.register_uri( 'POST', REGISTRY_BASEURL + '/sync', content=keywordstest_callback ) as matcher: yield matcher @pytest.fixture() def single_keyword_fixture(mocker, capabilities, scope="session"): def keywordstest_callback(request, context): data = dict(parse_qsl(request.body)) query = data['QUERY'] assert (" UNION ALL SELECT DISTINCT ivoid FROM rr.res_subject WHERE " "rr.res_subject.res_subject ILIKE '%single%'") in query assert "1=ivo_hasword(res_description, 'single') " in query assert "1=ivo_hasword(res_title, 'single')" in query return get_pkg_data_contents('data/regtap.xml') with mocker.register_uri( 'POST', REGISTRY_BASEURL + '/sync', content=keywordstest_callback ) as matcher: yield matcher @pytest.fixture() def servicetype_fixture(mocker, capabilities, scope="session"): def servicetypetest_callback(request, context): data = dict(parse_qsl(request.body)) query = data['QUERY'] assert "'ivo://ivoa.net/std/conesearch'" not in query assert "'ivo://ivoa.net/std/sia'" not in query assert "'ivo://ivoa.net/std/ssa'" not in query assert "'ivo://ivoa.net/std/slap'" not in query assert "'ivo://ivoa.net/std/tap'" in query return get_pkg_data_contents('data/regtap.xml') with mocker.register_uri( 'POST', REGISTRY_BASEURL + '/sync', content=servicetypetest_callback ) as matcher: yield matcher @pytest.fixture() def waveband_fixture(mocker, capabilities, scope="session"): def wavebandtest_callback(request, content): data = dict(parse_qsl(request.body)) query = data['QUERY'] assert "1 = ivo_hashlist_has(rr.resource.waveband, 'optical'" in query return get_pkg_data_contents('data/regtap.xml') with mocker.register_uri( 'POST', REGISTRY_BASEURL + '/sync', content=wavebandtest_callback ) as matcher: yield matcher @pytest.fixture() def datamodel_fixture(mocker, capabilities, scope="session"): def datamodeltest_callback(request, content): data = dict(parse_qsl(request.body)) query = data['QUERY'] assert ( "detail_xpath = '/capability/dataModel/@ivo-id'" in query) assert ( "ivo_nocasematch(detail_value, 'ivo://ivoa.net/std/obscore%'))" in query) return get_pkg_data_contents('data/regtap.xml') with mocker.register_uri( 'POST', REGISTRY_BASEURL + '/sync', content=datamodeltest_callback ) as matcher: yield matcher @pytest.fixture() def aux_fixture(mocker, capabilities, scope="session"): def auxtest_callback(request, context): data = dict(parse_qsl(request.body)) query = data['QUERY'] assert "ivo://ivoa.net/std/tap#aux" in query return get_pkg_data_contents('data/regtap.xml') with mocker.register_uri( 'POST', REGISTRY_BASEURL + '/sync', content=auxtest_callback, ) as matcher: yield matcher @pytest.fixture(name='multi_interface_fixture') def _multi_interface_fixture(mocker, capabilities, scope="session"): # to update this, run # import requests # from pyvo.registry import regtap # # with open("data/multi-interface.xml", "wb") as f: # f.write(requests.get(regtap.REGISTRY_BASEURL+"/sync", { # "LANG": "ADQL", # "QUERY": regtap.get_RegTAP_query( # ivoid="ivo://org.gavo.dc/flashheros/q/ssa")}).content) with mocker.register_uri( 'POST', REGISTRY_BASEURL + '/sync', content=get_pkg_data_contents('data/multi-interface.xml') ) as matcher: yield matcher @pytest.fixture(name='flash_service') def _flash_service(multi_interface_fixture, scope="session"): return regtap.search( ivoid="ivo://org.gavo.dc/flashheros/q/ssa")[0] class TestInterfaceClass: def test_basic(self): intf = regtap.Interface("http://example.org") assert intf.access_url == "http://example.org" assert intf.standard_id is None assert intf.type is None assert intf.role is None assert intf.is_standard is False assert not intf.is_vosi assert intf.capability_description is None def test_repr(self): description = "An example description." intf = regtap.Interface("http://example.org", standard_id="ivo://gavo/std/a", intf_type="vs:paramhttp", intf_role="std", capability_description=description) assert (repr(intf) == "Interface(type='a', description='An example description.'," " url='http://example.org')") intf = regtap.Interface("http://example.org", capability_description=description) assert repr(intf) == ("Interface(type=None, description='An example description.'," " url='http://example.org')") def test_unknown_standard(self): intf = regtap.Interface("http://example.org", standard_id="ivo://gavo/std/a", intf_type="vs:paramhttp", intf_role="std") assert intf.is_standard with pytest.raises(ValueError) as excinfo: intf.to_service() assert str(excinfo.value) == ( "PyVO has no support for interfaces with standard" " id ivo://gavo/std/a.") def test_known_standard(self): intf = regtap.Interface("http://example.org", standard_id="ivo://ivoa.net/std/tap#aux", intf_type="vs:paramhttp", intf_role="std") assert isinstance(intf.to_service(), tap.TAPService) assert not intf.is_vosi def test_sia2_standard(self): intf = regtap.Interface("http://example.org", standard_id="ivo://ivoa.net/std/sia2", intf_type="vs:paramhttp", intf_role="std") assert isinstance(intf.to_service(), sia2.SIA2Service) assert not intf.is_vosi def test_secondary_interface(self): intf = regtap.Interface("http://example.org", standard_id="ivo://ivoa.net/std/tap#aux", intf_type="vs:webbrowser", intf_role="web") with pytest.raises(ValueError) as excinfo: intf.to_service() assert str(excinfo.value) == ( "This is not a standard interface. PyVO cannot speak to it.") def test_VOSI(self): intf = regtap.Interface("http://example.org", standard_id="ivo://ivoa.net/std/vosi#capabilities", intf_type="vs:ParamHTTP", intf_role="std") assert intf.is_vosi # The following tests have their assertions in the fixtures. # It would certainly not hurt to refactor this so they are # in the tests (we could also just rely on the rtcons tests # that exercise about the same thing). @pytest.mark.usefixtures('keywords_fixture', 'capabilities') def test_keywords(): regsearch(keywords=['vizier', 'pulsar']) @pytest.mark.usefixtures('single_keyword_fixture', 'capabilities') def test_single_keyword(): regsearch(keywords=['single']) regsearch(keywords='single') @pytest.mark.usefixtures('servicetype_fixture', 'capabilities') def test_servicetype(): regsearch(servicetype='table') @pytest.mark.usefixtures( 'waveband_fixture', 'capabilities', 'messenger_vocabulary') def test_waveband(): regsearch(waveband='optical') @pytest.mark.usefixtures('datamodel_fixture', 'capabilities') def test_datamodel(): regsearch(datamodel='ObsCore') @pytest.mark.usefixtures('aux_fixture', 'capabilities') def test_servicetype_aux(): regsearch(servicetype='table', includeaux=True) @pytest.mark.usefixtures('aux_fixture', 'capabilities') def test_bad_servicetype_aux(): with pytest.raises(dalq.DALQueryError): regsearch(servicetype='bad_servicetype', includeaux=True) class _NS: """a namespace exposing its keyword arguments as attributes. We need this here to let us conveniently construct _FakeResults. """ def __init__(self, **kwargs): for k, v in kwargs.items(): setattr(self, k, v) class _FakeResults: """ a minimal standin for dal.query.Results to be used with dal.query.Record. It is constructed with a dictionary that should eventually be used as the mapping in the Record. """ def __init__(self, valdict): self.fieldnames = list(valdict.keys()) self.resultstable = _NS(array=_NS(data=[list(valdict.values())])) def get_regtap_results(**kwargs): """ return a RegTAP result as expected by RegistryResult with all values empty, completed with what's in kwargs. """ res = {} for key in regtap.RegistryResource.expected_columns: if isinstance(key, str): res[key] = None else: res[key[-1]] = None res.update(kwargs) return _FakeResults(res) def test_spatial(): assert (rtcons.keywords_to_constraints({ "spatial": (23, -40)})[0].get_search_condition(FAKE_GAVO) == "ivoid IN (SELECT DISTINCT ivoid FROM rr.stc_spatial" " WHERE 1 = CONTAINS(MOC(6, POINT(23, -40)), coverage))") def test_spectral(): assert (rtcons.keywords_to_constraints({ "spectral": (1e-17, 2e-17)})[0].get_search_condition(FAKE_GAVO) == "ivoid IN (SELECT DISTINCT ivoid FROM rr.stc_spectral WHERE" " 1 = ivo_interval_overlaps(spectral_start, spectral_end, 1e-17, 2e-17))") def test_to_table(multi_interface_fixture, capabilities): t = regtap.search( ivoid="ivo://org.gavo.dc/flashheros/q/ssa").get_summary() assert (set(t.columns.keys()) == {'index', 'short_name', 'title', 'description', 'interfaces'}) assert t["index"][0] == 0 assert t["title"][0] == 'Flash/Heros SSAP' assert (t["description"][0][:40] == 'Spectra from the Flash and Heros Echelle') assert (t["interfaces"][0] == 'datalink#links-1.1, soda#sync-1.0, ssa, tap#aux, web') @pytest.fixture(name='rt_pulsar_distance') def _rt_pulsar_distance(regtap_pulsar_distance_response, capabilities): return regsearch(keywords="pulsar", ucd=["pos.distance"]) def test_record_fields(rt_pulsar_distance): rec = rt_pulsar_distance["VII/156"] assert rec.ivoid == "ivo://cds.vizier/vii/156" assert rec.res_type == "vs:catalogservice" assert rec.short_name == "VII/156" assert rec.res_title == "Catalog of 558 Pulsars" assert rec.content_levels == ['research'] assert rec.res_description[:20] == "The catalogue is an up-to-date"[:20] assert rec.reference_url == "https://cdsarc.cds.unistra.fr/viz-bin/cat/VII/156" assert rec.creators == ['Taylor J.H.', ' Manchester R.N.', ' Lyne A.G.'] assert rec.content_types == ['catalog'] assert rec.source_format == "bibcode" assert rec.source_value == "1993ApJS...88..529T" assert rec.region_of_regard is None assert rec.waveband == ['radio'] assert rec.created == "1999-03-02T10:21:53" # updated might break when regenerating data/regtap.xml, # replace by the new date assert rec.updated == "2021-10-21T00:00:00" assert rec.rights == "https://cds.unistra.fr/vizier-org/licences_vizier.html" # access URL, standard_id and friends exercised in TestInterfaceSelection class TestResultIndexing: def test_get_with_index(self, rt_pulsar_distance): # this is expecte to break when the fixture is updated assert (rt_pulsar_distance[0].res_title == 'Pulsar Timing for Fermi Gamma-ray Space Telescope') def test_get_with_short_name(self, rt_pulsar_distance): assert (rt_pulsar_distance["ATNF"].res_title == 'ATNF Pulsar Catalog') def test_get_with_ivoid(self, rt_pulsar_distance): assert (rt_pulsar_distance["ivo://nasa.heasarc/atnfpulsar" ].res_title == 'ATNF Pulsar Catalog') def test_out_of_range(self, rt_pulsar_distance): with pytest.raises(IndexError) as excinfo: rt_pulsar_distance[40320] assert (str(excinfo.value) == f"index 40320 is out of bounds for axis 0 with size {len(rt_pulsar_distance)}") def test_bad_key(self, rt_pulsar_distance): with pytest.raises(KeyError) as excinfo: rt_pulsar_distance["hunkatunka"] assert (str(excinfo.value) == "'hunkatunka'") def test_not_indexable(self, rt_pulsar_distance): with pytest.raises(IndexError) as excinfo: rt_pulsar_distance[None] assert (str(excinfo.value) == "No resource matching None") @pytest.mark.usefixtures('multi_interface_fixture', 'capabilities', 'flash_service') class TestInterfaceSelection: """ tests for the selection and generation of services within RegistryResource. """ def test_exactly_one_result(self): results = regtap.search( ivoid="ivo://org.gavo.dc/flashheros/q/ssa") assert len(results) == 1 def test_access_modes(self, flash_service): assert set(flash_service.access_modes()) == { 'datalink#links-1.1', 'soda#sync-1.0', 'ssa', 'tap#aux', 'web'} def test_standard_id_multi(self, flash_service): with pytest.raises(dalq.DALQueryError) as excinfo: _ = flash_service.standard_id assert str(excinfo.value) == ("This resource supports several" " standards (datalink#links-1.1, soda#sync-1.0, ssa," " tap#aux, web). Use get_service or restrict your query" " using Servicetype.") def test_get_web_interface(self, flash_service): svc = flash_service.get_service(service_type="web") assert isinstance(svc, regtap._BrowserService) assert (svc.baseurl == "http://dc.zah.uni-heidelberg.de/flashheros/q/web/form") assert str(svc) == ("BrowserService(baseurl : " "'http://dc.zah.uni-heidelberg.de/flashheros/q/web/form'," " description : '')") import webbrowser orig_open = webbrowser.open try: open_args = [] webbrowser.open = lambda *args: open_args.append(args) svc.search() assert open_args == [ ("http://dc.zah.uni-heidelberg.de/flashheros/q/web/form", 2)] finally: webbrowser.open = orig_open def test_get_aux_interface(self, flash_service): svc = flash_service.get_service(service_type="tap#aux") assert (svc._baseurl == "http://dc.zah.uni-heidelberg.de/tap") def test_get_aux_as_main(self, flash_service): assert (flash_service.get_service(service_type="tap")._baseurl == "http://dc.zah.uni-heidelberg.de/tap") def test_get__main_from_aux(self, flash_service): assert (flash_service.get_service(service_type="tap")._baseurl == "http://dc.zah.uni-heidelberg.de/tap") def test_get_by_alias(self, flash_service): assert (flash_service.get_service(service_type="spectrum")._baseurl == "http://dc.zah.uni-heidelberg.de/fhssa?") def test_get_unsupported_standard(self, flash_service): with pytest.raises(ValueError) as excinfo: flash_service.get_service(service_type="soda#sync-1.0") assert str(excinfo.value) == ( "PyVO has no support for interfaces with standard id" " ivo://ivoa.net/std/soda#sync-1.0.") def test_get_nonexisting_standard(self, flash_service): with pytest.raises(ValueError) as excinfo: flash_service.get_service(service_type="http://nonsense#fancy") assert str(excinfo.value) == ( "No matching interface.") def test_unconstrained(self, flash_service): with pytest.raises(ValueError, match="Multiple matching interfaces found.*"): flash_service.get_service(lax=False) def test_interface_without_role(self): # There's an ugly corner case in our array simulation for # capabilities and interfaces: if there's a single untyped # interface, the returned type (or role) will be an empty # string, and the split() will return an empty list. # This swallowed the interface in pyVO 1.3. rec = get_regtap_results( access_urls="http://example.org/tap", standard_ids="ivo://ivoa.net/std/TAP", intf_types="vr:webbrowser", intf_roles="") resource = regtap.RegistryResource(rec, 0) assert len(resource.interfaces) == 1 assert resource.interfaces[0].standard_id == 'ivo://ivoa.net/std/TAP' # get_service still won't work because it needs a paramhttp # interface (and a role="std"). with pytest.raises(ValueError) as excinfo: resource.get_service(service_type='tap') assert (str(excinfo.value) == "No matching interface.") def test_get_service_by_keyword(self): rec = _makeRegistryRecord( access_urls=["http://example1.org/tap", "http://example2.org/tap", "http://example3.org/tap"], standard_ids=["ivo://ivoa.net/std/tap"] * 3, intf_types=["vs:paramhttp"] * 3, intf_roles=["std"] * 3, cap_descriptions=["Example 1 TAP", "Example 2 TAP"]) # no description for the third one service = rec.get_service(service_type="tap", keyword="Example 2") assert service.capability_description == "Example 2 TAP" def test_sia2_query(self): rec = _makeRegistryRecord( access_urls=["http://sia2.example.com", "http://sia.example.com"], standard_ids=[ "ivo://ivoa.net/std/sia#query-2.0", "ivo://ivoa.net/std/sia"], intf_roles=["std"] * 2, intf_types=["vs:paramhttp"] * 2, cap_descriptions=["A mock SIA2 Service."] * 2) assert rec.access_modes() == {"sia", "sia2"} assert rec.get_interface(service_type="sia2").access_url == 'http://sia2.example.com' assert rec.get_interface(service_type="sia").access_url == 'http://sia.example.com' def test_sia2_aux(self): rec = _makeRegistryRecord( access_urls=["http://sia2.example.com", "http://sia.example.com"], standard_ids=[ "ivo://ivoa.net/std/sia#query-aux-2.0", "ivo://ivoa.net/std/sia#aux"], intf_roles=["std"] * 2, intf_types=["vs:paramhttp"] * 2, cap_descriptions=["A mock service."] * 2) assert rec.access_modes() == {"sia#aux", "sia2#aux"} assert rec.get_interface(service_type="sia2").access_url == 'http://sia2.example.com' assert rec.get_interface(service_type="sia").access_url == 'http://sia.example.com' def test_non_standard_interface(self): intf = regtap.Interface("http://url", standard_id="", intf_type="", intf_role="") assert intf.supports("ivo://ivoa.net/std/sia") is False def test_supports_none(self): intf = regtap.Interface("http://url", standard_id="", intf_type="", intf_role="") assert intf.supports(None) is False def test_non_searchable_service(self): rec = _makeRegistryRecord() with pytest.raises(dalq.DALServiceError) as excinfo: rec.search() assert str(excinfo.value) == ( "Resource ivo://pyvo/test_regtap.py is not a searchable service") def test_list_interfaces(self): rec = _makeRegistryRecord( access_urls=["http://sia.example.com", "http://sia.example.com", "http://tap.example.com", "http://vosi.example.com", "http://website.com" ], standard_ids=["ivo://ivoa.net/std/sia#aux", "ivo://ivoa.net/std/sia#aux", "ivo://ivoa.net/std/tap", "ivo://ivoa.net/std/vosi", ""], intf_roles=["std"] * 4 + ["non standard"], intf_types=["vs:paramhttp"] * 4 + ["vr:webbrowser"], cap_descriptions=["A mock service."] * 5) # webpages should be there, but not vosi assert len(rec.list_interfaces()) == 4 # only sia ones assert len(rec.list_interfaces("sia")) == 2 class _FakeResult: """A fake class just sufficient for giving dal.query.Record enough to pull in the dict this is constructed. As an extra service, list values are stringified with regtap.TOKEN_SEP -- this is how they ought to come in from RegTAP services. """ def __init__(self, d): self.fieldnames = list(d.keys()) vals = [regtap.TOKEN_SEP.join(v) if isinstance(v, list) else v for v in d.values()] class _: class array: data = [vals] self.resultstable = _ def _makeRegistryRecord(**overrides): """returns a minimal RegistryResource instance, overriding some built-in defaults with the dict overrides. """ defaults = { "access_urls": "", "standard_ids": "", "intf_types": "", "intf_roles": "", "cap_descriptions": "", "ivoid": "ivo://pyvo/test_regtap.py", } defaults.update(overrides) return regtap.RegistryResource(_FakeResult(defaults), 0) class TestInterfaceRejection: """tests for various artificial corner cases where interface selection should fail (or just not fail). """ def test_nonunique(self): rsc = _makeRegistryRecord( access_urls=["http://a", "http://b"], standard_ids=["ivo://ivoa.net/std/tap"] * 2, intf_types=["vs:paramhttp"] * 2, intf_roles=["std"] * 2) with pytest.raises(ValueError, match="Multiple matching interfaces found.*"): rsc.get_service(service_type="tap", lax=False) def test_nonunique_lax(self): rsc = _makeRegistryRecord( access_urls=["http://a", "http://b"], standard_ids=["ivo://ivoa.net/std/tap"] * 2, intf_types=["vs:paramhttp"] * 2, intf_roles=["std"] * 2, cap_descriptions=["Test TAP service."] * 2) assert (rsc.get_service(service_type="tap", lax=True)._baseurl == "http://a") def test_nonstd_ignored(self): rsc = _makeRegistryRecord( access_urls=["http://a", "http://b"], standard_ids=["ivo://ivoa.net/std/tap"] * 2, intf_types=["vs:paramhttp"] * 2, intf_roles=["std", ""]) assert (rsc.get_service(service_type="tap", lax=False)._baseurl == "http://a") def test_select_single_matching_service(self): rsc = _makeRegistryRecord( access_urls=["http://a", "http://b"], standard_ids=["", "ivo://ivoa.net/std/tap"], intf_types=["vs:webbrowser", "vs:paramhttp"], intf_roles=["", "std"]) assert (rsc.service._baseurl == "http://b") # this makes sure caching the service obtained doesn't break # things assert (rsc.service._baseurl == "http://b") def test_capless(self): rsc = _makeRegistryRecord() with pytest.raises(ValueError) as excinfo: rsc.service._baseurl assert str(excinfo.value) == ( "No matching interface.") @pytest.mark.remote_data def test_maxrec(): with pytest.warns(DALOverflowWarning) as w: _ = regsearch(servicetype="tap", maxrec=1) assert len(w) == 1 assert str(w[0].message).startswith("Result set limited") @pytest.mark.remote_data def test_get_contact(): rsc = _makeRegistryRecord( ivoid="ivo://org.gavo.dc/flashheros/q/ssa") assert (rsc.get_contact() == "GAVO Data Centre Team (+49 6221 54 1837)" " ") @pytest.mark.remote_data def test_get_alt_identifier(): rsc = _makeRegistryRecord(ivoid="ivo://cds.vizier/i/337") assert set(rsc.get_alt_identifiers()) == { 'doi:10.26093/cds/vizier.1337', } @pytest.mark.remote_data class TestDatamodelQueries: # right now, the data model queries are all rather sui generis, and # rather fickly on top. Let's make sure they actually return something # against the live registry. Admittedly, this is about as much # a test of the VO infrastructure as of pyvo. def test_obscore(self): assert len(regsearch(rtcons.Datamodel('obscore'))) > 0 def test_epntap(self): assert len(regsearch(rtcons.Datamodel('epntap'))) > 0 def test_regtap(self): assert len(regsearch(rtcons.Datamodel('regtap'))) > 0 @pytest.mark.usefixtures('multi_interface_fixture', 'capabilities', 'flash_service') class TestExtraResourceMethods: """ tests for methods of RegistryResource containing some non-trivial logic (except service selection, which is in TestInterfaceSelection, and get_tables, which is in TestGetTables). """ def test_unique_standard_id(self): rsc = _makeRegistryRecord( access_urls=["http://a"], standard_ids=["ivo://ivoa.net/std/tap"], intf_types=["vs:paramhttp"], intf_roles=["std"]) assert rsc.standard_id == "ivo://ivoa.net/std/tap" def test_describe_multi(self, flash_service): out = io.StringIO() flash_service.describe(verbose=True, file=out) output = out.getvalue() assert "Flash/Heros SSAP" in output assert ("Access modes: datalink#links-1.1, soda#sync-1.0," " ssa, tap#aux, web" in output) assert "- webpage: http://dc.zah.uni-heidelberg.de/flashheros/q/web/form" in output assert "- tap#aux: http://dc.zah.uni-heidelberg.de/tap" in output # datalink, soda and vosi are not printed here assert "- datalink" not in output assert "Source: 1996A&A...312..539S" in output assert "Authors: Wolf" in output assert "Alternative identifier(s): doi:10.21938/" in output assert "More info: http://dc.zah" in output def test_describe_long_authors_list(self): """Check that long list of authors use et al..""" rsc = _makeRegistryRecord( access_urls=[], standard_ids=["ivo://pyvo/test"], short_name=["name"], intf_types=[], intf_roles=[], creator_seq=["a;" * 6], res_title=["title"] ) out = io.StringIO() rsc.describe(verbose=True, file=out) output = out.getvalue() # output should cut at 5 authors assert "Authors: a, a, a, a, a et al." in output def test_describe_long_author_name(self): """Check that long author names are truncated.""" rsc = _makeRegistryRecord( access_urls=[], standard_ids=["ivo://pyvo/test"], short_name=["name"], intf_types=[], intf_roles=[], creator_seq=["a" * 71], res_title=["title"] ) out = io.StringIO() rsc.describe(verbose=True, file=out) output = out.getvalue() # should cut the long author name at 70 characters assert f"Authors: {'a' * 70}..." in output def test_no_access_url(self): rsc = _makeRegistryRecord( access_urls=[], standard_ids=[], intf_types=[], intf_roles=[]) with pytest.raises(dalq.DALQueryError) as excinfo: rsc.access_url assert str(excinfo.value) == ("The resource" " ivo://pyvo/test_regtap.py has no queriable interfaces.") def test_unique_access_url(self): rsc = _makeRegistryRecord( access_urls=["http://a"], standard_ids=["ivo://ivoa.net/std/tap"], intf_types=["vs:paramhttp"], intf_roles=[""]) assert rsc.access_url == "http://a" def test_ambiguous_access_url_warns(self, recwarn): rsc = _makeRegistryRecord( access_urls=["http://a", "http://b"], standard_ids=["ivo://ivoa.net/std/tap"] * 2, intf_types=["vs:paramhttp"] * 2, intf_roles=["std"] * 2) assert rsc.access_url == "http://a" assert ('The resource ivo://pyvo/test_regtap.py has multipl' in [str(w.message)[:50] for w in recwarn]) # TODO: While I suppose the contact test should keep requiring network, # I think we should can the network responses involved in the following; # the stuff might change upstream any time and then break our unit tests. @pytest.fixture(name='obscore_tables') def _obscore_tables(scope="session"): rsc = _makeRegistryRecord( ivoid="ivo://org.gavo.dc/__system__/obscore/obscore") return rsc.get_tables() @pytest.mark.usefixtures("obscore_tables") class TestGetTables: @pytest.mark.remote_data def test_get_tables_limit_enforced(self): rsc = _makeRegistryRecord( ivoid="ivo://org.gavo.dc/tap") with pytest.raises(dalq.DALQueryError) as excinfo: rsc.get_tables() assert re.match(r"Resource ivo://org.gavo.dc/tap reports \d+ tables." " Pass a higher table_limit to see them all.", str(excinfo.value)) @pytest.mark.remote_data def test_get_tables_names(self, obscore_tables): assert (list(sorted(obscore_tables.keys())) == ["ivoa.obscore"]) @pytest.mark.remote_data def test_get_tables_table_instance(self, obscore_tables): assert (obscore_tables["ivoa.obscore"].name == "ivoa.obscore") assert (obscore_tables["ivoa.obscore"].description[:42] == "The IVOA-defined obscore table, containing") assert (obscore_tables["ivoa.obscore"].title == "GAVO Data Center Obscore Table") assert (obscore_tables["ivoa.obscore"].origin.ivoid == "ivo://org.gavo.dc/__system__/obscore/obscore") @pytest.mark.remote_data def test_get_tables_column_meta(self, obscore_tables): def getcol(name): for col in obscore_tables["ivoa.obscore"].columns: if name == col.name: return col raise KeyError(name) assert getcol("access_url").datatype.content == "char" assert getcol("access_url").datatype.arraysize == "*" assert getcol("s_region").datatype._extendedtype == "adql:region" assert getcol("access_format").ucd == 'meta.code.mime' assert getcol("em_min").unit == "m" assert (getcol("t_max").utype == "obscore:char.timeaxis.coverage.bounds.limits.stoptime") assert (getcol("t_exptime").description == "Total exposure time") @pytest.mark.remote_data def test_get_tables_utype(self, obscore_tables): assert (obscore_tables["ivoa.obscore"].utype == "ivo://ivoa.net/std/obscore#table-1.1") @pytest.mark.remote_data def test_sia2_service_operation(): svcs = regsearch( servicetype='sia2', ivoid='ivo://cadc.nrc.ca/sia') assert len(svcs) == 1 res = svcs[0].search(pos=(30, 40, 0.1), time=(time.Time(58794.9, format="mjd"), time.Time(58795, format="mjd"))) assert len(res) > 10 assert "s_dec" in res.to_table().columns @pytest.mark.remote_data def test_endpoint_switching(): alt_svc = "https://mast.stsci.edu/vo-tap/api/v0.1/registry" previous_url = regtap.REGISTRY_BASEURL try: regtap.choose_RegTAP_service(alt_svc) assert regtap.get_RegTAP_service()._baseurl == alt_svc res = regtap.search(keywords="wirr") assert len(res) > 0 finally: regtap.choose_RegTAP_service(previous_url) astropy-pyvo-b70558c/pyvo/registry/tests/test_rtcons.py000066400000000000000000000707531510533647000235150ustar00rootroot00000000000000#!/usr/bin/env python # Licensed under a 3-clause BSD style license - see LICENSE.rst """ Tests for pyvo.registry.rtcons, i.e. RegTAP constraints and query building. """ import datetime from astropy.time import Time from astropy import units as u from astropy.coordinates import SkyCoord from astropy.utils.exceptions import AstropyDeprecationWarning import numpy as np import pytest from pyvo import registry from pyvo.registry import rtcons from pyvo.dal import query as dalq from .commonfixtures import messenger_vocabulary, FAKE_GAVO, FAKE_PLAIN # noqa: F401 # We should make sure non-legacy numpy works as expected for string literal generation np.set_printoptions(legacy=False) def _build_regtap_query_with_fake( *args, service=FAKE_GAVO, **kwargs): return rtcons.build_regtap_query( *args, service=service, **kwargs) def _make_subquery(table, condition): """returns how condition would show up in something produced by SubqueriedConstraint. """ return f"ivoid IN (SELECT DISTINCT ivoid FROM {table} WHERE {condition})" class TestAbstractConstraint: def test_no_search_condition(self): with pytest.raises(NotImplementedError): rtcons.Constraint().get_search_condition(FAKE_GAVO) class TestSQLLiterals: @pytest.fixture(scope="class", autouse=True) def literals(self): class _WithFillers(rtcons.Constraint): _fillers = { "aString": "some harmless stuff", "nastyString": "that's not nasty", "bytes": b"keep this ascii for now", "anInt": 210, "aFloat": 5e7, "numpyStuff": np.float64(23.7), "timestamp": datetime.datetime(2021, 6, 30, 9, 1), } return _WithFillers()._get_sql_literals() def test_strings(self, literals): assert literals["aString"] == "'some harmless stuff'" assert literals["nastyString"] == "'that''s not nasty'" def test_bytes(self, literals): assert literals["bytes"] == "'keep this ascii for now'" def test_int(self, literals): assert literals["anInt"] == "210" def test_float(self, literals): assert literals["aFloat"] == "50000000.0" def test_numpy(self, literals): assert float(literals["numpyStuff"]) - 23.7 < 1e-10 def test_timestamp(self, literals): assert literals["timestamp"] == "'2021-06-30T09:01:00'" def test_odd_type_rejected(self): with pytest.raises(ValueError) as excinfo: rtcons.make_sql_literal({}) assert str(excinfo.value) == "Cannot format {} as a SQL literal" class TestFreetextConstraint: def test_basic(self): assert rtcons.Freetext("star").get_search_condition(FAKE_GAVO) == ( "ivoid IN (SELECT DISTINCT ivoid FROM rr.resource" " WHERE 1=ivo_hasword(res_description, 'star') " "UNION ALL SELECT DISTINCT ivoid FROM rr.resource" " WHERE 1=ivo_hasword(res_title, 'star') " "UNION ALL SELECT DISTINCT ivoid FROM rr.res_subject" " WHERE rr.res_subject.res_subject ILIKE '%star%')") def test_interesting_literal(self): assert rtcons.Freetext("α Cen's planets").get_search_condition(FAKE_GAVO) == ( "ivoid IN (SELECT DISTINCT ivoid FROM rr.resource" " WHERE 1=ivo_hasword(res_description, 'α Cen''s planets') " "UNION ALL SELECT DISTINCT ivoid FROM rr.resource" " WHERE 1=ivo_hasword(res_title, 'α Cen''s planets') " "UNION ALL SELECT DISTINCT ivoid FROM rr.res_subject" " WHERE rr.res_subject.res_subject" " ILIKE '%α Cen''s planets%')") def test_multipleLiterals(self): assert rtcons.Freetext("term1", "term2").get_search_condition(FAKE_GAVO) == ( "ivoid IN (SELECT DISTINCT ivoid FROM rr.resource" " WHERE 1=ivo_hasword(res_description, 'term1') " "UNION ALL SELECT DISTINCT ivoid FROM rr.resource" " WHERE 1=ivo_hasword(res_title, 'term1') " "UNION ALL SELECT DISTINCT ivoid FROM rr.res_subject" " WHERE rr.res_subject.res_subject ILIKE '%term1%')" " AND " "ivoid IN (SELECT DISTINCT ivoid FROM rr.resource" " WHERE 1=ivo_hasword(res_description, 'term2') " "UNION ALL SELECT DISTINCT ivoid FROM rr.resource" " WHERE 1=ivo_hasword(res_title, 'term2') " "UNION ALL SELECT DISTINCT ivoid FROM rr.res_subject" " WHERE rr.res_subject.res_subject ILIKE '%term2%')") def test_adaption_to_service(self): assert rtcons.Freetext("term1", "term2").get_search_condition(FAKE_PLAIN) == ( "( 1=ivo_hasword(res_description, 'term1') OR 1=ivo_hasword(res_title, 'term1')" " OR rr.res_subject.res_subject ILIKE '%term1%')" " AND ( 1=ivo_hasword(res_description, 'term2') OR 1=ivo_hasword(res_title, 'term2')" " OR rr.res_subject.res_subject ILIKE '%term2%')") class TestAuthorConstraint: def test_basic(self): assert (rtcons.Author("%Hubble%").get_search_condition(FAKE_GAVO) == _make_subquery("rr.res_role", "role_name LIKE '%Hubble%' AND base_role='creator'")) class TestServicetypeConstraint: def test_standardmap(self): assert (rtcons.Servicetype("scs").get_search_condition(FAKE_GAVO) == "standard_id IN ('ivo://ivoa.net/std/conesearch')") def test_fulluri(self): assert (rtcons.Servicetype("http://extstandards/invention" ).get_search_condition(FAKE_GAVO) == "standard_id IN ('http://extstandards/invention')") def test_multi(self): assert (rtcons.Servicetype("http://extstandards/invention", "sia" ).get_search_condition(FAKE_GAVO) == "standard_id IN ('http://extstandards/invention'," " 'ivo://ivoa.net/std/sia')") def test_includeaux(self): assert (rtcons.Servicetype("http://extstandards/invention", "sia1" ).include_auxiliary_services().get_search_condition(FAKE_GAVO) == "standard_id IN ('http://extstandards/invention'," " 'http://extstandards/invention#aux'," " 'ivo://ivoa.net/std/sia'," " 'ivo://ivoa.net/std/sia#aux')") def test_junk_rejected(self): with pytest.raises(dalq.DALQueryError) as excinfo: rtcons.Servicetype("junk") assert str(excinfo.value) == ("Service type junk is neither" " a full standard URI nor one of the bespoke identifiers" " image, sia, sia1, spectrum, ssap, ssa, scs, conesearch, line, slap," " table, tap, sia2, hats, hips") def test_legacy_term(self): assert (rtcons.Servicetype("conesearch").get_search_condition(FAKE_GAVO) == "standard_id IN ('ivo://ivoa.net/std/conesearch')") def test_sia2(self): assert ( rtcons.Servicetype("conesearch", "sia2").get_search_condition(FAKE_GAVO) == ("standard_id IN ('ivo://ivoa.net/std/conesearch')" " OR standard_id like 'ivo://ivoa.net/std/sia#query-2.%'")) def test_sia2_aux(self): constraint = rtcons.Servicetype("conesearch", "sia2").include_auxiliary_services() assert (constraint.get_search_condition(FAKE_GAVO) == ("standard_id IN ('ivo://ivoa.net/std/conesearch', 'ivo://ivoa.net/std/conesearch#aux')" " OR standard_id like 'ivo://ivoa.net/std/sia#query-2.%'" " OR standard_id like 'ivo://ivoa.net/std/sia#query-aux-2.%'")) def test_image_deprecated(self): with pytest.warns(AstropyDeprecationWarning): assert (rtcons.Servicetype("image").get_search_condition(FAKE_GAVO) == "standard_id IN ('ivo://ivoa.net/std/sia')") def test_spectrum_deprecated(self): with pytest.warns(AstropyDeprecationWarning): assert (rtcons.Servicetype("spectrum").get_search_condition(FAKE_GAVO) == "standard_id IN ('ivo://ivoa.net/std/ssa')") @pytest.mark.usefixtures('messenger_vocabulary') class TestWavebandConstraint: def test_basic(self): assert (rtcons.Waveband("Infrared", "EUV").get_search_condition(FAKE_GAVO) == "1 = ivo_hashlist_has(rr.resource.waveband, 'infrared')" " OR 1 = ivo_hashlist_has(rr.resource.waveband, 'euv')") def test_junk_rejected(self): with pytest.raises(dalq.DALQueryError) as excinfo: rtcons.Waveband("junk") assert str(excinfo.value) == ( "Waveband junk is not in the IVOA messenger vocabulary http://www.ivoa.net/rdf/messenger.") def test_normalisation(self): assert (rtcons.Waveband("oPtIcAl").get_search_condition(FAKE_GAVO) == "1 = ivo_hashlist_has(rr.resource.waveband, 'optical')") class TestDatamodelConstraint: def test_junk_rejected(self): with pytest.raises(dalq.DALQueryError) as excinfo: rtcons.Datamodel("junk") assert str(excinfo.value) == ( "Unknown data model id junk. Known are: epntap, obscore, obscore_new, regtap.") def test_obscore_new(self): cons = rtcons.Datamodel("obscore_new") assert (cons.get_search_condition(FAKE_GAVO) == "ivoid IN (SELECT DISTINCT ivoid FROM rr.res_table" " NATURAL JOIN rr.resource" " WHERE table_utype LIKE 'ivo://ivoa.net/std/obscore#table-1.%'" " AND res_type = 'vs:catalogresource')") assert (cons._extra_tables == []) def test_obscore(self): cons = rtcons.Datamodel("ObsCore") assert (cons.get_search_condition(FAKE_GAVO) == _make_subquery( "rr.res_detail", "detail_xpath = '/capability/dataModel/@ivo-id'" " AND 1 = ivo_nocasematch(detail_value," " 'ivo://ivoa.net/std/obscore%')")) assert cons._extra_tables == [] def test_epntap(self): cons = rtcons.Datamodel("epntap") assert (cons.get_search_condition(FAKE_GAVO) == _make_subquery( "rr.res_table", "table_utype LIKE 'ivo://vopdc.obspm/std/epncore#schema-2.%'" " OR table_utype LIKE 'ivo://ivoa.net/std/epntap#table-2.%'")) assert cons._extra_tables == [] def test_regtap(self): cons = rtcons.Datamodel("regtap") assert (cons.get_search_condition(FAKE_GAVO) == _make_subquery( "rr.res_detail", "detail_xpath = '/capability/dataModel/@ivo-id'" " AND 1 = ivo_nocasematch(detail_value," " 'ivo://ivoa.net/std/RegTAP#1.%')")) assert cons._extra_tables == [] class TestIvoidConstraint: def test_basic(self): cons = rtcons.Ivoid("ivo://example/some_path") assert (cons.get_search_condition(FAKE_GAVO) == "ivoid='ivo://example/some_path'") def test_multiple(self): cons = rtcons.Ivoid( "ivo://org.gavo.dc/tap", "ivo://org.gavo.dc/__system__/siap2/sitewide") assert (cons.get_search_condition(FAKE_GAVO) == ("ivoid='ivo://org.gavo.dc/tap'" " OR ivoid='ivo://org.gavo.dc/__system__/siap2/sitewide'")) class TestUCDConstraint: def test_basic(self): cons = rtcons.UCD("phot.mag;em.opt.%", "phot.mag;em.ir.%") assert (cons.get_search_condition(FAKE_GAVO) == _make_subquery( "rr.table_column", "ucd LIKE 'phot.mag;em.opt.%' OR ucd LIKE 'phot.mag;em.ir.%'")) @pytest.mark.remote_data class TestUATConstraint: def test_basic(self): cons = rtcons.UAT("solar-flares") assert (cons.get_search_condition(FAKE_GAVO) == "ivoid IN (SELECT DISTINCT ivoid FROM rr.res_subject WHERE res_subject in ('solar-flares'))") def test_nonterm(self): with pytest.raises(dalq.DALQueryError, match="solarium does not identify"): rtcons.UAT("solarium") def test_wider(self): cons = rtcons.UAT("solar-flares", expand_up=2) assert (cons.get_search_condition(FAKE_GAVO) == "ivoid IN (SELECT DISTINCT ivoid FROM rr.res_subject WHERE res_subject in" " ('solar-activity', 'solar-flares', 'solar-physics', 'solar-storm'))") def test_narrower(self): cons = rtcons.UAT("solar-activity", expand_down=1) assert (cons.get_search_condition(FAKE_GAVO) == "ivoid IN (SELECT DISTINCT ivoid FROM rr.res_subject WHERE res_subject in" " ('solar-active-regions', 'solar-activity', 'solar-filaments', 'solar-flares'," " 'solar-magnetic-bright-points', 'solar-prominences', 'solar-storm'))") cons = rtcons.UAT("solar-activity", expand_down=2) assert (cons.get_search_condition(FAKE_GAVO).startswith( "ivoid IN (SELECT DISTINCT ivoid FROM rr.res_subject WHERE res_subject in" " ('ephemeral-active-regions', 'quiescent-solar-prominence'," " 'solar-active-region-filaments'")) class TestSpatialConstraint: def test_point(self): cons = registry.Spatial([23, -40]) assert cons.get_search_condition(FAKE_GAVO) == _make_subquery( "rr.stc_spatial", "1 = CONTAINS(MOC(6, POINT(23, -40)), coverage)") assert cons._extra_tables == [] def test_circle_and_order(self): cons = registry.Spatial([23, -40, 0.25], order=7) assert cons.get_search_condition(FAKE_GAVO) == _make_subquery( "rr.stc_spatial", "1 = CONTAINS(MOC(7, CIRCLE(23, -40, 0.25)), coverage)") def test_polygon(self): cons = registry.Spatial([23, -40, 26, -39, 25, -43]) assert cons.get_search_condition(FAKE_GAVO) == _make_subquery( "rr.stc_spatial", "1 = CONTAINS(MOC(6, POLYGON(23, -40, 26, -39, 25, -43)), coverage)") def test_moc(self): cons = registry.Spatial("0/1-3 3/") assert cons.get_search_condition(FAKE_GAVO) == _make_subquery( "rr.stc_spatial", "1 = CONTAINS(MOC('0/1-3 3/'), coverage)") def test_moc_and_inclusive(self): cons = registry.Spatial("0/1-3 3/", inclusive=True) assert cons.get_search_condition(FAKE_GAVO) == ( "ivoid IN (SELECT DISTINCT ivoid FROM rr.stc_spatial WHERE 1 = " "CONTAINS(MOC('0/1-3 3/'), coverage) OR coverage IS NULL)") def test_SkyCoord(self): cons = registry.Spatial(SkyCoord(3 * u.deg, -30 * u.deg)) assert cons.get_search_condition(FAKE_GAVO) == _make_subquery( "rr.stc_spatial", "1 = CONTAINS(MOC(6, POINT(3.0, -30.0)), coverage)") def test_SkyCoord_Circle(self): cons = registry.Spatial((SkyCoord(3 * u.deg, -30 * u.deg), 3)) assert cons.get_search_condition(FAKE_GAVO) == _make_subquery( "rr.stc_spatial", "1 = CONTAINS(MOC(6, CIRCLE(3.0, -30.0, 3)), coverage)") def test_SkyCoord_Circle_RadiusQuantity(self): for radius in [3*u.deg, 180*u.Unit('arcmin'), 10800*u.Unit('arcsec')]: cons = registry.Spatial((SkyCoord(3 * u.deg, -30 * u.deg), radius)) assert cons.get_search_condition(FAKE_GAVO) == _make_subquery( "rr.stc_spatial", "1 = CONTAINS(MOC(6, CIRCLE(3.0, -30.0, 3.0)), coverage)") with pytest.raises(ValueError, match="is not of type angle."): cons = registry.Spatial((SkyCoord(3 * u.deg, -30 * u.deg), (1 * u.m))) def test_enclosed(self): cons = registry.Spatial("0/1-3", intersect="enclosed") assert cons.get_search_condition(FAKE_GAVO) == _make_subquery( "rr.stc_spatial", "1 = CONTAINS(coverage, MOC('0/1-3'))") def test_overlaps(self): cons = registry.Spatial("0/1-3", intersect="overlaps") assert cons.get_search_condition(FAKE_GAVO) == _make_subquery( "rr.stc_spatial", "1 = INTERSECTS(coverage, MOC('0/1-3'))") def test_not_an_intersect_mode(self): with pytest.raises(ValueError, match="'intersect' should be one of 'covers', 'enclosed'," " or 'overlaps' but its current value is 'wrong'."): registry.Spatial("0/1-3", intersect="wrong") def test_no_MOC(self): cons = registry.Spatial((SkyCoord(3 * u.deg, -30 * u.deg), 3)) with pytest.raises(rtcons.RegTAPFeatureMissing) as excinfo: cons.get_search_condition(FAKE_PLAIN) assert (str(excinfo.value) == "Current RegTAP service does not support MOC.") def test_no_spatial_table(self): cons = registry.Spatial((SkyCoord(3 * u.deg, -30 * u.deg), 3)) previous = FAKE_GAVO.tables.pop("rr.stc_spatial") try: with pytest.raises(rtcons.RegTAPFeatureMissing) as excinfo: cons.get_search_condition(FAKE_GAVO) assert (str(excinfo.value) == "stc_spatial missing on current RegTAP service") finally: FAKE_GAVO.tables["rr.spatial"] = previous class TestSpectralConstraint: # These tests might need some float literal fuzziness. I'm just # too lazy at this point to see if pytest has something on board # that would be useful there. def test_energy_float(self): cons = registry.Spectral(1e-19) assert cons.get_search_condition(FAKE_GAVO) == _make_subquery( "rr.stc_spectral", "1e-19 BETWEEN spectral_start AND spectral_end") def test_energy_eV(self): cons = registry.Spectral(5 * u.eV) assert (cons.get_search_condition(FAKE_GAVO) == _make_subquery( "rr.stc_spectral", "8.01088317e-19 BETWEEN spectral_start AND spectral_end")) def test_energy_interval(self): cons = registry.Spectral((1e-10 * u.erg, 2e-10 * u.erg)) assert cons.get_search_condition(FAKE_GAVO) == _make_subquery( "rr.stc_spectral", "1 = ivo_interval_overlaps(spectral_start, spectral_end, 1e-17, 2e-17)") def test_wavelength(self): cons = registry.Spectral(5000 * u.Angstrom) assert (cons.get_search_condition(FAKE_GAVO) == _make_subquery( "rr.stc_spectral", "3.9728917142978567e-19 BETWEEN spectral_start AND spectral_end")) def test_wavelength_interval(self): cons = registry.Spectral((20 * u.cm, 22 * u.cm)) assert (cons.get_search_condition(FAKE_GAVO) == _make_subquery( "rr.stc_spectral", "1 = ivo_interval_overlaps(spectral_start, spectral_end," " 9.932229285744642e-25, 9.029299350676949e-25)")) def test_frequency(self): cons = registry.Spectral(2 * u.GHz) assert (cons.get_search_condition(FAKE_GAVO) == _make_subquery( "rr.stc_spectral", "1.32521403e-24 BETWEEN spectral_start AND spectral_end")) def test_frequency_and_inclusive(self): cons = registry.Spectral(2 * u.GHz, inclusive=True) assert (cons.get_search_condition(FAKE_GAVO) == "(ivoid IN (SELECT DISTINCT ivoid FROM rr.stc_spectral" " WHERE 1.32521403e-24 BETWEEN spectral_start AND spectral_end))" " OR NOT EXISTS(SELECT 1 FROM rr.stc_spectral AS inner_s" " WHERE inner_s.ivoid=rr.resource.ivoid)") def test_frequency_interval(self): cons = registry.Spectral((88 * u.MHz, 102 * u.MHz)) assert (cons.get_search_condition(FAKE_GAVO) == _make_subquery( "rr.stc_spectral", "1 = ivo_interval_overlaps(" "spectral_start, spectral_end, 5.830941732e-26, 6.758591553e-26)")) def test_no_spectral(self): cons = registry.Spectral((88 * u.MHz, 102 * u.MHz)) with pytest.raises(rtcons.RegTAPFeatureMissing) as excinfo: cons.get_search_condition(FAKE_PLAIN) assert (str(excinfo.value) == "stc_spectral missing on current RegTAP service") class TestTemporalConstraint: def test_plain_float(self): cons = registry.Temporal((54130, 54200)) assert (cons.get_search_condition(FAKE_GAVO) == _make_subquery( "rr.stc_temporal", "1 = ivo_interval_overlaps(time_start, time_end, 54130, 54200)")) def test_plain_float_and_inclusive(self): cons = registry.Temporal((54130, 54200), inclusive=True) assert (cons.get_search_condition(FAKE_GAVO) == "(ivoid IN (SELECT DISTINCT ivoid FROM rr.stc_temporal" " WHERE 1 = ivo_interval_overlaps(time_start, time_end, 54130, 54200)))" " OR NOT EXISTS(SELECT 1 FROM rr.stc_temporal AS inner_t" " WHERE inner_t.ivoid=rr.resource.ivoid)") def test_single_time(self): cons = registry.Temporal(Time('2022-01-10')) assert (cons.get_search_condition(FAKE_GAVO) == _make_subquery("rr.stc_temporal", "59589.0 BETWEEN time_start AND time_end")) def test_time_interval(self): cons = registry.Temporal((Time(2459000, format='jd'), Time(59002, format='mjd'))) assert (cons.get_search_condition(FAKE_GAVO) == _make_subquery( "rr.stc_temporal", "1 = ivo_interval_overlaps(time_start, time_end, 58999.5, 59002.0)")) def test_multi_times_rejected(self): with pytest.raises(ValueError) as excinfo: registry.Temporal(Time(['1999-01-01', '2010-01-01'])) assert (str(excinfo.value) == "RegTAP time constraints must" " be made from single time instants.") def test_no_temporal(self): cons = registry.Temporal((Time(2459000, format='jd'), Time(59002, format='mjd'))) with pytest.raises(rtcons.RegTAPFeatureMissing) as excinfo: cons.get_search_condition(FAKE_PLAIN) assert (str(excinfo.value) == "stc_temporal missing on current RegTAP service") class TestWhereClauseBuilding: @staticmethod def where_clause_for(*args, **kwargs): cons = list(args) + rtcons.keywords_to_constraints(kwargs) return _build_regtap_query_with_fake(cons).split("\nWHERE\n", 1)[1].split("\nGROUP BY\n")[0] @pytest.mark.usefixtures('messenger_vocabulary') def test_from_constraints(self): assert self.where_clause_for( rtcons.Waveband("EUV"), rtcons.Author("%Hubble%"))\ == ("(1 = ivo_hashlist_has(rr.resource.waveband, 'euv'))\n" " AND ({})".format( _make_subquery( "rr.res_role", "role_name LIKE '%Hubble%' AND base_role='creator'"))) @pytest.mark.usefixtures('messenger_vocabulary') def test_from_keywords(self): assert self.where_clause_for( waveband="EUV", author="%Hubble%")\ == ("(1 = ivo_hashlist_has(rr.resource.waveband, 'euv'))\n AND ({})".format( _make_subquery("rr.res_role", "role_name LIKE '%Hubble%' AND base_role='creator'"))) @pytest.mark.usefixtures('messenger_vocabulary') def test_mixed(self): assert self.where_clause_for( rtcons.Waveband("EUV"), author="%Hubble%")\ == ("(1 = ivo_hashlist_has(rr.resource.waveband, 'euv'))\n" " AND ({})".format( _make_subquery("rr.res_role", "role_name LIKE '%Hubble%' AND base_role='creator'"))) def test_bad_keyword(self): with pytest.raises(TypeError) as excinfo: _build_regtap_query_with_fake( *rtcons.keywords_to_constraints({"foo": "bar"})) # the following assertion will fail when new constraints are # defined (or old ones vanish). I'd say that's a convenient # way to track changes; so, let's update the assertion as we # go. assert str(excinfo.value) == ("foo is not a valid registry" " constraint keyword. Use one of" " author, datamodel, ivoid, keywords, servicetype," " spatial, spectral, temporal, uat, ucd, waveband.") def test_with_legacy_keyword(self): assert self.where_clause_for( "plain", "string" ) == ( '(ivoid IN (SELECT DISTINCT ivoid FROM rr.resource WHERE ' "1=ivo_hasword(res_description, 'plain') UNION ALL SELECT DISTINCT ivoid FROM rr.resource " "WHERE 1=ivo_hasword(res_title, 'plain') UNION ALL SELECT DISTINCT ivoid FROM " "rr.res_subject WHERE rr.res_subject.res_subject ILIKE '%plain%'))\n" ' AND (ivoid IN (SELECT DISTINCT ivoid FROM rr.resource WHERE ' "1=ivo_hasword(res_description, 'string') UNION ALL SELECT DISTINCT ivoid FROM rr.resource " "WHERE 1=ivo_hasword(res_title, 'string') UNION ALL SELECT DISTINCT ivoid FROM " "rr.res_subject WHERE rr.res_subject.res_subject ILIKE '%string%'))") class TestSelectClause: def test_expected_columns(self): # This will break as regtap.RegistryResource.expected_columns # is changed. Just update the assertion then. assert _build_regtap_query_with_fake( rtcons.keywords_to_constraints({"author": "%Hubble%"}) ).split("\nFROM\nrr.resource\n")[0] == ( "SELECT\n" "ivoid, " "res_type, " "short_name, " "res_title, " "content_level, " "res_description, " "reference_url, " "creator_seq, " "created, " "updated, " "rights, " "content_type, " "source_format, " "source_value, " "region_of_regard, " "waveband, " "\n ivo_string_agg(COALESCE(access_url, ''), ':::py VO sep:::') AS access_urls, " "\n ivo_string_agg(COALESCE(standard_id, ''), ':::py VO sep:::') AS standard_ids, " "\n ivo_string_agg(COALESCE(intf_type, ''), ':::py VO sep:::') AS intf_types, " "\n ivo_string_agg(COALESCE(intf_role, ''), ':::py VO sep:::') AS intf_roles, " "\n ivo_string_agg(COALESCE(cap_description, ''), ':::py VO sep:::') AS cap_descriptions") def test_group_by_columns(self): # Again, this will break as regtap.RegistryResource.expected_columns # is changed. Just update the assertion then. assert (_build_regtap_query_with_fake([rtcons.Author("%Hubble%")]).split("\nGROUP BY\n")[-1] == ("ivoid, " "res_type, " "short_name, " "res_title, " "content_level, " "res_description, " "reference_url, " "creator_seq, " "created, " "updated, " "rights, " "content_type, " "source_format, " "source_value, " "region_of_regard, " "waveband")) def test_joined_tables(self): expected_tables = [ # from author constraint "rr.res_role", # default tables "rr.resource", "rr.capability", "rr.interface", ] assert all(table in _build_regtap_query_with_fake([rtcons.Author("%Hubble%")]) for table in expected_tables) @pytest.mark.remote_data def test_all_constraints(): text = rtcons.Freetext("star") author = rtcons.Author(r"%ESA%") servicetype = rtcons.Servicetype("tap") waveband = rtcons.Waveband("optical") datamodel = rtcons.Datamodel("obscore") ivoid = rtcons.Ivoid(r"ivoid") ucd = rtcons.UCD(r"pos.eq.ra") moc = rtcons.Spatial("0/0-11", intersect="overlaps") spectral = rtcons.Spectral((5000 * u.Angstrom, 6000 * u.Angstrom)) time = rtcons.Temporal((50000, 60000)) uat = rtcons.UAT('galaxies', expand_down=3) result = registry.search( text, author, servicetype, waveband, datamodel, ivoid, ucd, moc, spectral, time, uat ) assert result.fieldnames == ( 'ivoid', 'res_type', 'short_name', 'res_title', 'content_level', 'res_description', 'reference_url', 'creator_seq', 'created', 'updated', 'rights', 'content_type', 'source_format', 'source_value', 'region_of_regard', 'waveband', 'access_urls', 'standard_ids', 'intf_types', 'intf_roles', 'cap_descriptions') astropy-pyvo-b70558c/pyvo/samp.py000066400000000000000000000065521510533647000170700ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ A module with helpers for broadcasting results to samp clients """ import contextlib import os import tempfile from astropy.samp import SAMPIntegratedClient __all__ = [ 'find_client_id', 'send_table_to', 'send_product_to', 'send_spectrum_to', 'send_image_to', 'accessible_table', 'connection'] def find_client_id(conn, name): """returns the SAMP id of the client with samp.name samp_name. This will raise a KeyError if the client is not on the hub. """ for client_id in conn.get_registered_clients(): if conn.get_metadata(client_id).get("samp.name") == name: return client_id raise KeyError(name) def send_table_to(conn, table, client_name=None, name="data"): """ sends astropy_table via SAMP. """ with accessible_table(table) as url: message = { "samp.mtype": "table.load.votable", "samp.params": { "url": url, "name": name, }, } if client_name is None: for client_id in conn.get_registered_clients(): conn.call_and_wait(client_id, message, "10") else: client_id = find_client_id(conn, client_name) conn.call_and_wait(client_id, message, "10") def send_product_to(conn, url, mtype, client_name=None, name="data"): """ sends SAMP messages to load data. This is a helper for send_spectrum_to and send_image_to, which work exactly analogous to each other, except that the mtypes are different. If dest_client_id, this is a broadcast (and we don't wait for any responses). If dest_client_id is given, we wait for acknowledgement by the receiver. """ message = { "samp.mtype": mtype, "samp.params": { "url": url, "name": name, }, } if client_name is None: conn.notify_all(message) else: client_id = find_client_id(conn, client_name) conn.notify(client_id, message) def send_spectrum_to(conn, url, client_name=None, name="data"): """ asks a spectrum client to open a remote spectrum via SAMP. """ send_product_to( conn, url, "spectrum.load.ssa-generic", client_name=client_name, name=name) def send_image_to(conn, url, client_name=None, name="data"): """ asks an image client to open a remote image via SAMP. """ send_product_to( conn, url, "image.load.fits", client_name=client_name, name=name) @contextlib.contextmanager def accessible_table(table): """ a context manager making astropy_table available under a (file) URL for the controlled section. """ handle, f_name = tempfile.mkstemp(suffix=".xml") with open(handle, "w") as f: table.write(output=f, format="votable") try: yield "file://" + f_name finally: os.unlink(f_name) @contextlib.contextmanager def connection( client_name="pyvo client", description="A generic PyVO client", **kwargs ): """ a context manager to give the controlled block a SAMP connection. The program will disconnect as the controlled block is exited. """ client = SAMPIntegratedClient( name=client_name, description=description, **kwargs) client.connect() try: yield client finally: client.disconnect() astropy-pyvo-b70558c/pyvo/utils/000077500000000000000000000000001510533647000167065ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/utils/__init__.py000066400000000000000000000001221510533647000210120ustar00rootroot00000000000000from .compat import * from .prototype import prototype_feature, activate_features astropy-pyvo-b70558c/pyvo/utils/compat.py000066400000000000000000000001771510533647000205500ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ Placeholder for compatibility constructs """ __all__ = [] astropy-pyvo-b70558c/pyvo/utils/decorators.py000066400000000000000000000010721510533647000214250ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst from functools import partial, wraps def stream_decode_content(func): @wraps(func) def wrapper(*args, **kwargs): raw = func(*args, **kwargs) raw.read = partial(raw.read, decode_content=True) return raw return wrapper def response_decode_content(func): @wraps(func) def wrapper(*args, **kwargs): response = func(*args, **kwargs) response.raw.read = partial(response.raw.read, decode_content=True) return response return wrapper astropy-pyvo-b70558c/pyvo/utils/formatting.py000066400000000000000000000035361510533647000214410ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ A collection of routines to format metadata """ import re from itertools import chain import textwrap _parasp = re.compile(r"(?:[ \t\r\f\v]*\n){2,}[ \t\r\f\v]*") _ptag = re.compile(r"\s*(?:)|(?:\\para(?:\\ )*)\s*") def para_format_desc(text, width=78): """ format description text into paragraphs suitable for display in the shell. That is, the output will be one or more plain text paragraphs of the prescribed width (78 characters, the default). The text will be split into separate paragraphs where there occurs (1) a two or more consecutive carriage return, (2) an HTML paragraph tag, or (2) a LaTeX paragraph control sequence. It will attempt other substitutions of HTML and LaTeX markup that sometimes find their way into resource descriptions. """ paras = _parasp.split(text) paras = filter( bool, chain.from_iterable(_ptag.split(para) for para in paras)) paras = ("\n".join( map(lambda ll: ll.strip(), para.splitlines()) ) for para in paras) paras = map(deref_markup, paras) return "\n\n".join(textwrap.fill(para, width) for para in paras) _musubs = [ (re.compile(r"<"), "<"), (re.compile(r">"), ">"), (re.compile(r"&"), "&"), (re.compile(r""), ''), (re.compile(r"

"), ''), (re.compile(r"°"), " deg"), (re.compile(r"\$((?:[^\$]*[\*\+=/^_~><\\][^\$]*)|(?:\w+))\$"), r'\1'), (re.compile(r"\\deg"), " deg"), ] _alink = re.compile(r'''\s*(\S.*\S)\s*''') def deref_markup(text): """ perform some substitutions of common markup suitable for text display. This includes HTML escape sequence """ for pat, repl in _musubs: text = pat.sub(repl, text) text = _alink.sub(r"\3 <\2>", text) return text astropy-pyvo-b70558c/pyvo/utils/http.py000066400000000000000000000012511510533647000202360ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ HTTP utils """ import platform import requests from ..version import version DEFAULT_USER_AGENT = f'pyVO/{version} Python/{platform.python_version()} ({platform.system()})' def use_session(session): """ Return the session passed in, or create a default session to use for this network request. """ if session: return session else: return create_session() def create_session(): """ Create a new empty requests session with a pyvo user agent. """ session = requests.Session() session.headers['User-Agent'] = DEFAULT_USER_AGENT return session astropy-pyvo-b70558c/pyvo/utils/protofeature.py000066400000000000000000000040341510533647000220000ustar00rootroot00000000000000from dataclasses import dataclass __all__ = ['Feature'] @dataclass class Feature: """ A prototype feature implementing a standard that is currently in the process of being approved, but that might change as a result of the approval process. A Feature must have a name. Optionally, a feature may have a *url* that is displayed to the user in case a feature is used without the user explicitly opting in on its usage. The URL is expected to contain more information about the standard and its state in the approval process. """ name: str url: str = '' on: bool = False def should_error(self): """ Should accessing this feature fail? Returns ------- bool Whether accessing this feature should result in an error. """ return not self.on def error(self, function_name): """ Format an error message when the feature is being accesses without the user having opted in its usage. This function will be used as a callback when an error message needs to be displayed to the user, with the function name that was accessed as an argument. Extensions of this class may have additional information to display. Parameters ---------- function_name: str The name of the function associated to this feature and that the user called. Returns ------- str: The error message to be displayed to the user. """ message = (f'{function_name} is part of a prototype feature ({self.name}) that has not ' 'been activated. For information about prototype features please refer to ' 'https://pyvo.readthedocs.io/en/latest/utils/prototypes.html .') if self.url: message += f' For more information about the {self.name} feature please visit {self.url}.' message += (" To suppress this error and enable the feature use " f"`pyvo.utils.activate_features('{self.name}')`") return message astropy-pyvo-b70558c/pyvo/utils/prototype.py000066400000000000000000000103731510533647000213310ustar00rootroot00000000000000import inspect import warnings from functools import wraps from collections.abc import Iterable from .protofeature import Feature from pyvo.dal.exceptions import PyvoUserWarning __all__ = ['features', 'prototype_feature', 'activate_features', 'PrototypeWarning', 'PrototypeError'] features: dict[str, "Feature"] = { 'cadc-tb-upload': Feature('cadc-tb-upload', 'https://wiki.ivoa.net/twiki/bin/view/IVOA/TAP-1_1-Next', False), 'MIVOT': Feature('MIVOT', 'https://ivoa.net/documents/MIVOT/20230620/REC-mivot-1.0.pdf', False) } def prototype_feature(*args): """ Decorator for functions and classes that implement unstable standards which haven't been approved yet. The decorator can be used to tag individual functions or methods. Please refer to the user documentation for details. Parameters ---------- args: iterable of arguments. Currently, the decorator must always be called with one and only one argument, a string representing the feature's name associated with the decorated class or functions. Additional arguments will be ignored, while using the decorator without any arguments will result in a ``PrototypeError`` error. Returns ------- The class or function it decorates, which will be associated to the feature provided as argument. """ feature_name = _parse_args(*args) decorator = _make_decorator(feature_name) return decorator def _set_features(flag, *feature_names: Iterable[str]): names = feature_names or set(features.keys()) for name in names: if not _validate(name): continue features[name].on = flag def activate_features(*feature_names: Iterable[str]): """ Activate one or more prototype features. Parameters ---------- feature_names: Iterable[str] An arbitrary number of feature names. If a feature with that name does not exist, a `PrototypeWarning` will be issued. If no arguments are provided, all features will be activated Returns ------- """ _set_features(True, *feature_names) def deactivate_features(*feature_names: Iterable[str]): """ De-activate one or more prototype features. Parameters ---------- feature_names: Iterable[str] An arbitrary number of feature names. If a feature with that name does not exist, a `PrototypeWarning` will be issued. If no arguments are provided, all features will be de-activated Returns ------- """ _set_features(False, *feature_names) class PrototypeError(Exception): pass class PrototypeWarning(PyvoUserWarning): pass def _parse_args(*args): if not args or callable(args[0]): raise PrototypeError("The `prototype_feature` decorator must always be called with the " "feature name as an argument") return args[0] def _make_decorator(feature_name): def decorator(decorated): if inspect.isfunction(decorated): return _make_wrapper(feature_name, decorated) if inspect.isclass(decorated): method_infos = inspect.getmembers(decorated, predicate=_should_wrap) _wrap_class_methods(decorated, method_infos, feature_name) return decorated return decorator def _validate(feature_name): if feature_name not in features: warnings.warn(f'No such feature "{feature_name}"', category=PrototypeWarning) return False return True def _warn_or_raise(function, feature_name): _validate(feature_name) feature = features[feature_name] if feature.should_error(): raise PrototypeError(feature.error(function.__name__)) def _should_wrap(member): return inspect.isfunction(member) and not member.__name__.startswith('_') def _wrap_class_methods(decorated_class, method_infos, feature_name): for method_info in method_infos: setattr(decorated_class, method_info[0], _make_wrapper(feature_name, method_info[1])) def _make_wrapper(feature_name, function): @wraps(function) def wrapper(*args, **kwargs): _warn_or_raise(function, feature_name) return function(*args, **kwargs) return wrapper astropy-pyvo-b70558c/pyvo/utils/testing.py000066400000000000000000000022231510533647000207340ustar00rootroot00000000000000""" Miscellenaneous utilities for writing tests. """ from astropy.io.votable import tree from pyvo.dal import query as dalquery try: TABLE_ELEMENT = tree.TableElement except AttributeError: TABLE_ELEMENT = tree.Table def create_votable(field_descs, records): """returns a VOTableFile with a a single table containing records, described by field_descs. """ votable = tree.VOTableFile() resource = tree.Resource(type="results") votable.resources.append(resource) table = TABLE_ELEMENT(votable) resource.tables.append(table) table.fields.extend( tree.Field(votable, **desc) for desc in field_descs) table.create_arrays(len(records)) for index, rec in enumerate(records): table.array[index] = rec return votable def create_dalresults( field_descs, records, *, resultsClass=dalquery.DALResults): """returns a DALResults instance for a query returning records described by field_descs. The arguments are as for create_votable. """ return resultsClass( create_votable(field_descs, records), url="http://testing.pyvo/test-url") astropy-pyvo-b70558c/pyvo/utils/tests/000077500000000000000000000000001510533647000200505ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/utils/tests/__init__.py000066400000000000000000000001001510533647000221500ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst astropy-pyvo-b70558c/pyvo/utils/tests/test_http.py000066400000000000000000000006131510533647000224400ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ Tests for pyvo.utils.http """ import platform from pyvo.utils.http import create_session from pyvo.version import version def test_create_session(): test_session = create_session() assert (test_session.headers['User-Agent'] == f'pyVO/{version} Python/{platform.python_version()} ({platform.system()})') astropy-pyvo-b70558c/pyvo/utils/tests/test_prototype.py000066400000000000000000000076471510533647000235440ustar00rootroot00000000000000from copy import deepcopy from unittest import mock import pytest from pyvo.utils import prototype_feature, activate_features, prototype from pyvo.utils.prototype import PrototypeError, PrototypeWarning, Feature @pytest.fixture(name='prototype_function') def _prototype_function(features): features({ 'my-feature': Feature('my-feature', url='http://somewhere/else') }) @prototype_feature('my-feature') def i_am_prototype(arg): arg('called') return i_am_prototype @pytest.fixture(name='features') def _features(): previous_available = deepcopy(prototype.features) prototype.features.clear() def add(features): prototype.features.update(features) yield add prototype.features.clear() prototype.features.update(previous_available) def test_feature_turned_off_by_default(prototype_function): with pytest.raises(PrototypeError) as e: prototype_function(None) assert 'i_am_prototype is part of a prototype feature (my-feature) that has not been activated. ' in str( e.value) assert 'please visit http://somewhere/else' in str(e.value) assert 'https://pyvo.readthedocs.io/en/latest/utils/prototypes.html' in str(e.value) assert "pyvo.utils.activate_features('my-feature')" in str(e.value) def test_activate_feature(prototype_function): probe = mock.Mock() activate_features('my-feature') try: prototype_function(probe) except Exception as exc: assert False, f"Should not have raised {exc}" probe.assert_called_once_with('called') def test_non_existent_feature_warning(): with pytest.warns(PrototypeWarning) as w: activate_features('i dont exist') assert len(w) == 1 assert str(w[0].message) == 'No such feature "i dont exist"' def test_activate_all_features(features): features({ 'feat-one': Feature('feat-one'), 'feat-two': Feature('feat-two') }) activate_features() assert set(prototype.features.keys()) == {'feat-one', 'feat-two'} assert prototype.features['feat-one'].on assert prototype.features['feat-two'].on def test_decorate_class(features, recwarn): features({ 'class': Feature('class') }) probe = mock.Mock() @prototype_feature('class') class SomePrototype: def method(self): probe('method') @staticmethod def static(): probe('static') def __ignore__(self): probe('ignore') with pytest.raises(PrototypeError): SomePrototype.static() with pytest.raises(PrototypeError): SomePrototype().method() SomePrototype().__ignore__() probe.assert_called_once_with('ignore') probe.reset_mock() activate_features('class') SomePrototype.static() probe.assert_called_once_with('static') probe.reset_mock() SomePrototype().method() probe.assert_called_once_with('method') probe.reset_mock() SomePrototype().__ignore__() probe.assert_called_once_with('ignore') def test_decorator_without_args_errors_out(): with pytest.raises(PrototypeError) as e: @prototype_feature def function(): pass assert str(e.value) == ("The `prototype_feature` decorator must always be called with the feature " "name as an argument") def test_decorator_without_args_around_class(): with pytest.raises(PrototypeError) as e: @prototype_feature class Class: pass assert str(e.value) == ("The `prototype_feature` decorator must always be called with the feature " "name as an argument") def test_decorator_with_no_arguments_and_class(): with pytest.raises(PrototypeError) as e: @prototype_feature() class Class: pass assert str(e.value) == ("The `prototype_feature` decorator must always be called with the feature " "name as an argument") astropy-pyvo-b70558c/pyvo/utils/tests/test_url.py000066400000000000000000000004651510533647000222700ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ Tests for pyvo.utils.url """ from pyvo.utils.url import url_sibling def test_url(): url = "http://example.org/tap/capabilities" siblingified = url_sibling(url, "tables") assert siblingified == "http://example.org/tap/tables" astropy-pyvo-b70558c/pyvo/utils/tests/test_vocabularies_remote.py000066400000000000000000000063431510533647000255210ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ Tests for pyvo.utils.vocabularies It's hard to write meaningful tests for those that don't require network connectivity because essentially it's all just wrapping downloads. Hence, I'm just giving in rather than bother with a mock server. """ import os import pathlib import time import pytest from astropy.utils import data from pyvo.dal.exceptions import PyvoUserWarning from pyvo.utils import vocabularies @pytest.mark.remote_data class TestVocabularies: def test_basic_getting(self): # clear the lru cache in case someone else has already used # datalink/core. vocabularies.get_vocabulary.cache_clear() voc = vocabularies.get_vocabulary("datalink/core") assert "progenitor" in voc["terms"] assert data.is_url_in_cache("http://www.ivoa.net/rdf/datalink/core") def test_label_getting(self): voc = vocabularies.get_vocabulary("datalink/core") assert (vocabularies.get_label(voc, "coderived") == "Coderived Data") def test_label_getting_default(self): voc = vocabularies.get_vocabulary("datalink/core") assert vocabularies.get_label(voc, "oov", "Missing") == "Missing" def test_refreshing(self): voc = vocabularies.get_vocabulary("datalink/core", force_update=True) # first make sure that things didn't break assert "progenitor" in voc["terms"] # now guess that a download has actually happened; we don't want # to reflect cache name generation here, so we just check if there's # a recent download in the cache directory dldir = data._get_download_cache_loc() with os.scandir(dldir) as entries: last_change = 0 for entry in entries: last_change = max(last_change, entry.stat().st_mtime) assert time.time() - last_change < 2 def test_non_existing_voc(self): with pytest.raises(vocabularies.VocabularyError): vocabularies.get_vocabulary("not_an_ivoa_vocabulary") def test_failed_update(self): # Create a fake vocabulary and make it so old the machine # will want to refresh it. fake_voc = "http://www.ivoa.net/rdf/astropy-test-failure" cache_dir = pathlib.Path(data._get_download_cache_loc() ) / data._url_to_dirname(fake_voc) cache_dir.mkdir(exist_ok=True) cache_name = cache_dir / "contents" with open(cache_name, "w") as f: f.write("{}") with open(cache_dir / "url", "w") as f: f.write(fake_voc) os.utime(cache_name, (1000000000, 1000000000)) with pytest.warns(PyvoUserWarning) as msgs: vocabularies.get_vocabulary("astropy-test-failure") # this sometimes catches a warning about an unclosed socket that, # I think, originates somewhere else; let me work around it for # the moment. for msg in msgs: if str(msg.message) == ("Updating cache for the vocabulary" " astropy-test-failure failed: HTTP Error 404: Not Found"): break else: raise AssertionError("No warning about failed cache update") astropy-pyvo-b70558c/pyvo/utils/url.py000066400000000000000000000012011510533647000200540ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst """ URL utils """ from urllib.parse import urlparse, urlunparse from posixpath import split as pathsplit, join as pathjoin def url_sibling(url, sibling): """ Replaces the last path element in an url Parameters ---------- url : str The url for which the last path element should be replaced sibling : str The replace value """ parsed = urlparse(url) newpath_segments = pathsplit(parsed.path)[:-1] + (sibling,) newpath = pathjoin(*newpath_segments) return urlunparse(list(parsed[:2]) + [newpath] + list(parsed[3:])) astropy-pyvo-b70558c/pyvo/utils/vocabularies.py000066400000000000000000000043161510533647000217430ustar00rootroot00000000000000""" A shallow interface to IVOA vocabularies. See http://ivoa.net/documents/Vocabularies/ (>= version 2) for the larger background. In this module, we essentially wrap the retrieval and caching of the desise files. """ import functools import json import os import time import warnings from astropy.utils.data import download_file, clear_download_cache from pyvo.dal.exceptions import PyvoUserWarning IVOA_VOCABULARY_ROOT = "http://www.ivoa.net/rdf/" class VocabularyError(Exception): """A generic error that occurred when interacting with the IVOA vocabulary repository. """ @functools.lru_cache def get_vocabulary(voc_name, force_update=False): """returns an IVOA vocabulary in its "desise" form. See Vocabularies in the VO 2 to see what is inside of this. This will use a cache to avoid repeated updates, but it will attempt to re-download if the cached copy is older than 6 months. """ src_url = IVOA_VOCABULARY_ROOT + voc_name if force_update: clear_download_cache(src_url) try: src_name = download_file( src_url, cache=True, show_progress=False, http_headers={"accept": "application/x-desise+json"}) except Exception as msg: raise VocabularyError("No such vocabulary: {} ({})".format( voc_name, msg)) if time.time() - os.path.getmtime(src_name) > 3600 * 60 * 150: # attempt a re-retrieval, but ignore failure try: src_name = download_file( IVOA_VOCABULARY_ROOT + voc_name, cache="update", show_progress=False, http_headers={"accept": "application/x-desise+json"}) except Exception as msg: warnings.warn("Updating cache for the vocabulary" f" {voc_name} failed: {msg}", category=PyvoUserWarning) with open(src_name, encoding="utf-8") as f: return json.load(f) def get_label(voc, term, default=None): """returns the label of term if it's in the desise vocabulary voc, term capitalised otherwise. """ if term in voc["terms"]: return voc["terms"][term]["label"] else: return default # vi:et:sw=4:sta astropy-pyvo-b70558c/pyvo/utils/xml/000077500000000000000000000000001510533647000175065ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/utils/xml/__init__.py000066400000000000000000000000001510533647000216050ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/utils/xml/elements.py000066400000000000000000000355171510533647000217070ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst from inspect import getmembers from functools import partial import warnings from astropy.utils.xml import iterparser from astropy.io.votable.exceptions import warn_or_raise from pyvo.utils.xml.exceptions import UnknownElementWarning __all__ = [ "xmlattribute", "xmlelement", "make_add_complexcontent", "make_add_simplecontent", "Element", "ElementWithXSIType", "ContentMixin", "parse_for_object"] def parse_for_object( source, object_type, pedantic=None, filename=None, _debug_python_based_parser=False ): """ Parses an xml file (or file-like object), and returns a object of specified object_type. object_type must be a subtype of `~pyvo.utils.xml.elements.Element` type Parameters ---------- source : str or readable file-like object Path or file object containing a tableset xml file. object : object type to return (subtype `~pyvo.utils.xml.elements.Element`) pedantic : bool, optional When `True`, raise an error when the file violates the spec, otherwise issue a warning. Warnings may be controlled using the standard Python mechanisms. See the `warnings` module in the Python standard library for more information. Defaults to False. filename : str, optional A filename, URL or other identifier to use in error messages. If *filename* is None and *source* is a string (i.e. a path), then *source* will be used as a filename for error messages. Therefore, *filename* is only required when source is a file-like object. Returns ------- object : `~pyvo.utils.xml.elements.Element` object or None See also -------- pyvo.io.vosi.exceptions : The exceptions this function may raise. """ config = { 'pedantic': pedantic, 'filename': filename } if filename is None and isinstance(source, str): config['filename'] = source with iterparser.get_xml_iterator( source, _debug_python_based_parser=_debug_python_based_parser ) as iterator: return object_type( config=config, pos=(1, 1)).parse(iterator, config) class xmlattribute(property): def __init__(self, fget=None, fset=None, fdel=None, doc=None, name=None): super().__init__(fget, fset, fdel, doc) if name: self.name = name elif fget is not None: self.name = fget.__name__ else: raise ValueError( "xmlattribute either needs a getter or a element name or both") def __call__(self, fget): return self.__class__(fget, name=self.name) def getter(self, fget): return self.__class__( fget, self.fset, self.fdel, self.__doc__, self.name) def setter(self, fset): return self.__class__( self.fget, fset, self.fdel, self.__doc__, self.name) def deleter(self, fdel): return self.__class__( self.fget, self.fset, fdel, self.__doc__, self.name) class xmlelement(property): """ """ def __init__( self, fget=None, fset=None, fdel=None, fadd=None, fformat=None, doc=None, name=None, ns=None, plain=False, cls=None, multiple_exc=None ): super().__init__(fget, fset, fdel, doc) if name: self.name = name elif fget is not None: self.name = fget.__name__ else: self.name = None self.ns = ns self.plain = plain self.cls = cls self.multiple_exc = multiple_exc self.fadd = fadd self.fformat = fformat def __call__(self, fget): return self.__class__( fget, name=self.name or fget.__name__, ns=self.ns, plain=self.plain, cls=self.cls, multiple_exc=self.multiple_exc ) def __get__(self, obj, owner=None): if obj is not None: val = super().__get__(obj, owner) if self.plain: return val elif not isinstance(val, (Element, list)): element = ContentMixin(_name=self.name, _ns=self.ns) element.content = val return element else: return val else: return super().__get__(obj, owner) def getter(self, fget): return self.__class__( fget, self.fset, self.fdel, self.fadd, self.fformat, self.__doc__, self.name, self.ns, self.plain, self.cls, self.multiple_exc) def setter(self, fset): return self.__class__( self.fget, fset, self.fdel, self.fadd, self.fformat, self.__doc__, self.name, self.ns, self.plain, self.cls, self.multiple_exc) def deleter(self, fdel): return type(self)( self.fget, self.fset, fdel, self.fadd, self.fformat, self.__doc__, self.name, self.ns, self.plain, self.cls, self.multiple_exc) def adder(self, fadd): if self.cls: raise RuntimeError( 'xmlelement cls parameter has no effect when adder is' ' defined') if self.multiple_exc: raise RuntimeError( 'xmlelement multiple_exc parameter has no effect when' ' adder is defined') return self.__class__( self.fget, self.fset, self.fdel, fadd, self.fformat, self.__doc__, self.name, self.ns, self.plain, self.cls, self.multiple_exc) def formatter(self, fformat): return self.__class__( self.fget, self.fset, self.fdel, self.fadd, fformat, self.__doc__, self.name, self.ns, self.plain, self.cls, self.multiple_exc) def object_attrs(obj): objtype = type(obj) attrs = { getattr(objtype, name).name: value for name, value in getmembers(obj) if isinstance(getattr(objtype, name, None), xmlattribute)} return attrs def object_children(obj): objtype = type(obj) try: for child in obj: if isinstance(child, Element): yield (child._Element__name, None, child) except TypeError: for name, child in getmembers(obj): if child is None: continue descr = getattr(objtype, name, None) if isinstance(descr, xmlelement): element_name = descr.name if descr.fformat: fformat = partial(descr.fformat, obj) else: fformat = None yield (element_name, fformat, child) elif isinstance(child, Element): yield (child._Element__name, None, child) def object_mapping(obj): objtype = type(obj) for name, val in getmembers(obj): descr = getattr(objtype, name, None) if isinstance(descr, xmlelement): if descr.fadd is None: if descr.cls is None: fadd = make_add_simplecontent( obj, descr.name, name, descr.multiple_exc) else: fadd = make_add_complexcontent( obj, descr.name, name, descr.cls, descr.multiple_exc) else: fadd = partial(descr.fadd, obj) yield descr.name, fadd def make_add_complexcontent( self, element_name, attr_name, cls_, exc_class=None): """ Factory for generating add functions for elements with complex content. """ def add_complexcontent(iterator, tag, data, config, pos): attr = getattr(self, attr_name) element = cls_( config=config, pos=pos, _name=element_name, **data) if attr and exc_class is not None: warn_or_raise( exc_class, args=element_name, config=config, pos=pos) if isinstance(getattr(self, attr_name, None), list): getattr(self, attr_name).append(element) else: setattr(self, attr_name, element) element.parse(iterator, config) return add_complexcontent def make_add_simplecontent( self, element_name, attr_name, exc_class=None, check_func=None, data_func=None): """ Factory for generating add functions for elements with simple content. This means elements with no child elements. If exc_class is given, warn or raise if element was already set. """ def add_simplecontent(iterator, tag_ignored, data_ignored, config, pos_ignored): # Ignored parameters are kept in the API signature to be compatible # with other functions. for start, tag, data, pos in iterator: if not start and tag == element_name: attr = getattr(self, attr_name) if attr and exc_class: warn_or_raise( exc_class, args=self._Element__name, config=config, pos=pos) if check_func: check_func(data, config, pos) if data_func: data = data_func(data) if isinstance(getattr(self, attr_name), list): getattr(self, attr_name).append(data) else: setattr(self, attr_name, data or None) break return add_simplecontent class Element: """ A base class for all classes that represent XML elements. Subclasses and Mixins must initialize their independent attributes after calling ``super().__init__``. """ def __init__(self, config=None, pos=None, _name='', _ns='', **kwargs): if config is None: config = {} self._config = config self._pos = pos self.__name = _name self.__ns = _ns self._tag_mapping = {} def _add_unknown_tag(self, iterator, tag, data, config, pos): if tag != 'xml': warn_or_raise( UnknownElementWarning, UnknownElementWarning, tag, config, pos) def _end_tag(self, tag, data, pos): pass def _ignore_add(self, iterator, tag, data, config, pos): pass def parse(self, iterator, config): """ For internal use. Parse the XML content of the children of the element. Override this method and do after-parse checks after calling ``super().parse``, if you need to. Parameters ---------- iterator : xml iterator An iterator over XML elements as returned by `~astropy.utils.xml.iterparser.get_xml_iterator`. config : dict The configuration dictionary that affects how certain elements are read. """ tag_mapping = dict(object_mapping(self)) for start, tag, data, pos in iterator: if start: tag_mapping.get(tag, self._add_unknown_tag)( iterator, tag, data, config, pos) else: if tag == self._Element__name: self._end_tag(tag, data, pos) break return self def to_xml(self, w, **kwargs): if self._Element__ns: name = ':'.join((self._Element__ns, self._Element__name)) else: name = self._Element__name with w.tag(name, attrib=object_attrs(self)): for name, formatter, child in object_children(self): if isinstance(child, Element): child.to_xml(w, formatter=formatter) else: if formatter: child = formatter() if not child: child = '' w.element(name, str(child)) class ElementWithXSIType(Element): """ An XML element that supports type dispatch through xsi:type. When a class A is derived from this, it gains a decorator register_xsi_type, which classes derived from A can use to say "construct me rather than A when xsi:type has the value I'm putting in. At this point we are doing *no* namespace processing in our XML parsing. Hence, we discard any prefixes both when registering and when matching. We probably should do namespaces one day; astropy.utils.xml will presumably learn them when they add VO-DML support. Let's revisit this when it's there safely. Meanwhere, use canonical Registry prefixes (cf. RegTAP 1.1, sect. 5) everywhere in your code; these will continue to be safe no matter what. """ _xsi_type_mapping = {} @classmethod def register_xsi_type(cls, typename): """Decorator factory for registering subtypes.""" def register(class_): """Decorator for registering subtypes""" cls._xsi_type_mapping[typename.split(":")[-1]] = class_ return class_ return register def __new__(cls, *args, **kwargs): xsi_type = None # Another namespace trouble: people can bind the xsi URI # to anything, *and* it's not unlikely they have another # type attribute, too. Wiggle out of it by preferring a # literal xsi:type and otherwise hope for the best. This # really needs to be fixed when we switch to namespace-aware # parsing. for name, val in kwargs.items(): if name == "xsi:type": xsi_type = val break elif name.split(":")[-1] == "type": xsi_type = val if xsi_type is None: dtype = cls else: try: dtype = cls._xsi_type_mapping[xsi_type.split(":")[-1]] except KeyError: warnings.warn(f"Unknown xsi:type {xsi_type} ignored") dtype = cls obj = Element.__new__(dtype) obj.__init__(*args, **kwargs) return obj class ContentMixin(Element): """ Mixin class for elements with inner content. """ def __init__(self, config=None, pos=None, _name=None, _ns=None, **kwargs): super().__init__(config, pos, _name, _ns, **kwargs) self._content = None def __bool__(self): return bool(self.content) __nonzero__ = __bool__ def _end_tag(self, tag, data, pos): self.content = data def _content_check(self, content): pass def _content_parse(self, content): return content @property def content(self): """The inner content of the element.""" return self._content @content.setter def content(self, content): self._content_check(content) self._content = self._content_parse(content) def to_xml(self, w, **kwargs): if self._Element__ns: name = ':'.join((self._Element__ns, self._Element__name)) else: name = self._Element__name try: content = kwargs['formatter']() except (KeyError, TypeError): content = self.content if content is not None: w.element(name, str(content), attrib=object_attrs(self)) astropy-pyvo-b70558c/pyvo/utils/xml/exceptions.py000066400000000000000000000020661510533647000222450ustar00rootroot00000000000000# Licensed under a 3-clause BSD style license - see LICENSE.rst from astropy.utils.exceptions import AstropyWarning __all__ = ['XMLWarning', 'UnknownElementWarning'] def _format_message(message, name, config=None, pos=None): if config is None: config = {} if pos is None: pos = ('?', '?') filename = config.get('filename', '?') return f'{filename}:{pos[0]}:{pos[1]}: {name}: {message}' class XMLWarning(AstropyWarning): """ Base warning for violations of XML specifications """ def __init__(self, args, config=None, pos=None): if config is None: config = {} if not isinstance(args, tuple): args = (args, ) msg = self.message_template.format(*args) self.formatted_message = _format_message( msg, self.__class__.__name__, config, pos) Warning.__init__(self, self.formatted_message) class UnknownElementWarning(XMLWarning): """ Warning for missing xml elements """ message_template = "Unknown element {}" default_args = ('x',) astropy-pyvo-b70558c/pyvo/utils/xml/tests/000077500000000000000000000000001510533647000206505ustar00rootroot00000000000000astropy-pyvo-b70558c/pyvo/utils/xml/tests/test_elements.py000066400000000000000000000055671510533647000241120ustar00rootroot00000000000000#!/usr/bin/env python # Licensed under a 3-clause BSD style license - see LICENSE.rst """ Tests for pyvo.utils.xml.elements """ import io import pytest from astropy.utils.xml import iterparser from pyvo.utils.xml import elements class TBase(elements.ElementWithXSIType): pass @TBase.register_xsi_type("foo:TOther1") class TOther1(TBase): pass # it's unclear whether we want to support unprefixed type names # once we properly handle XML namespaces. Feel free to adapt # the following declaration. @TBase.register_xsi_type("TOther2") class TOther2(TBase): pass class _Root(elements.Element): def __init__(self): super().__init__(self, _name="root") self._tbase = None @elements.xmlelement(name="tbase", cls=TBase) def tbase(self): return self._tbase @tbase.setter def tbase(self, obj): self._tbase = obj class TestXSIType: # Note: most of these tests will need namespace declarations # once we're properly dealing with namespaces. However, I # don't want to predicate an API to proper namespace support, # so they're missing for now. def _parse_string(self, xml_source): with iterparser.get_xml_iterator(io.BytesIO(xml_source)) as i: return _Root().parse(i, {}) def test_no_type(self): found_type = self._parse_string(b'').tbase.__class__ assert found_type.__name__ == "TBase" def test_prefixed_type(self): found_type = self._parse_string(b'' ).tbase.__class__ assert found_type.__name__ == "TOther1" def test_unprefixed_type(self): # This is undesired behaviour; this test should fail once # we've properly parsing XML found_type = self._parse_string(b'' ).tbase.__class__ assert found_type.__name__ == "TOther1" def test_badprefixed_type(self): found_type = self._parse_string(b'' ).tbase.__class__ assert found_type.__name__ == "TOther2" def test_xsi_ignorable(self): # This is again unwelcome behaviour, but unavoidable as long # as we hack around namespaces found_type = self._parse_string(b'' ).tbase.__class__ assert found_type.__name__ == "TOther2" def test_xsi_preferred(self): # Another piece unwelcome behaviour. found_type = self._parse_string( b'' ).tbase.__class__ assert found_type.__name__ == "TOther2" def test_bad_type(self): with pytest.warns(match='Unknown xsi:type ns1:NoSuchType ignored'): self._parse_string(b'') astropy-pyvo-b70558c/setup.cfg000066400000000000000000000067041510533647000164010ustar00rootroot00000000000000[tool:pytest] minversion = 6.0 norecursedirs = build docs/_build testpaths = "pyvo" "docs" astropy_header = true doctest_plus = enabled text_file_format = rst addopts = --doctest-rst --doctest-continue-on-failure remote_data_strict = true filterwarnings = error ignore:numpy.ndarray size changed:RuntimeWarning ignore:unclosed =4.2 requests python_requires = >=3.9 [options.extras_require] all = pillow defusedxml test = pytest-doctestplus>=0.13 pytest-astropy requests-mock docs = sphinx-astropy [options.package_data] pyvo.auth.tests = data/tap/*.xml pyvo.io.uws.tests = data/*.xml pyvo.io.vosi.tests = data/*.xml, data/tables/*.xml, data/capabilities/*.xml pyvo.registry.tests = data/*.xml, data/*.desise pyvo.mivot.tests = data/*.xml, data/input/*.xml, data/output/*.xml, data/reference/*json, data/reference/*xml pyvo.dal.tests = data/*.xml, data/*/* [coverage:run] source = pyvo omit = pyvo/_astropy_init* pyvo/conftest.py pyvo/*setup_package* pyvo/tests/* pyvo/*/tests/* pyvo/extern/* pyvo/version* */pyvo/_astropy_init* */pyvo/conftest.py */pyvo/*setup_package* */pyvo/tests/* */pyvo/*/tests/* */pyvo/extern/* */pyvo/version* [coverage:report] exclude_lines = # Have to re-enable the standard pragma pragma: no cover # Don't complain about packages we have installed except ImportError # Don't complain if tests don't hit assertions raise AssertionError raise NotImplementedError # Don't complain about script hooks def main\(.*\): # Ignore branches that don't pertain to this version of Python pragma: py{ignore_python_version} # Don't complain about IPython completion helper def _ipython_key_completions_ astropy-pyvo-b70558c/setup.py000066400000000000000000000036411510533647000162670ustar00rootroot00000000000000#!/usr/bin/env python # Licensed under a 3-clause BSD style license - see LICENSE.rst # NOTE: The configuration for the package, including the name, version, and # other information are set in the setup.cfg file. import os import sys from setuptools import setup # First provide helpful messages if contributors try and run legacy commands # for tests or docs. TEST_HELP = """ Note: running tests is no longer done using 'python setup.py test'. Instead you will need to run: tox -e test If you don't already have tox installed, you can install it with: pip install tox If you only want to run part of the test suite, you can also use pytest directly with:: pip install -e .[test] pytest For more information, see: http://docs.astropy.org/en/latest/development/testguide.html#running-tests """ if 'test' in sys.argv: print(TEST_HELP) sys.exit(1) DOCS_HELP = """ Note: building the documentation is no longer done using 'python setup.py build_docs'. Instead you will need to run: tox -e build_docs If you don't already have tox installed, you can install it with: pip install tox You can also build the documentation with Sphinx directly using:: pip install -e .[docs] cd docs make html For more information, see: http://docs.astropy.org/en/latest/install.html#builddocs """ if 'build_docs' in sys.argv or 'build_sphinx' in sys.argv: print(DOCS_HELP) sys.exit(1) VERSION_TEMPLATE = """ # Note that we need to fall back to the hard-coded version if either # setuptools_scm can't be imported or setuptools_scm can't determine the # version, so we catch the generic 'Exception'. try: from setuptools_scm import get_version version = get_version(root='..', relative_to=__file__) except Exception: version = '{version}' """.lstrip() setup(use_scm_version={'write_to': os.path.join('pyvo', 'version.py'), 'write_to_template': VERSION_TEMPLATE}) astropy-pyvo-b70558c/tox.ini000066400000000000000000000043311510533647000160650ustar00rootroot00000000000000[tox] # Please note that not all the combinations below are guaranteed to work # as oldestdeps and devastropy might not support the full python range # listed here envlist = py{39,310,311,312,313,314}-test{,-alldeps,-oldestdeps,-devdeps}{,-online}{,-cov} linkcheck codestyle build_docs requires = setuptools >= 30.3.0 pip >= 19.3.1 [testenv] extras = test alldeps: all description = run tests oldestdeps: with oldest supported dependencies devdeps: with development version of dependencies cov: determine the code coverage setenv = PYTEST_ARGS = -rsxf --show-capture=no online: PYTEST_ARGS = --remote-data=any --reruns=1 --reruns-delay 10 -rsxf --show-capture=no devdeps: PIP_EXTRA_INDEX_URL = https://pypi.anaconda.org/scientific-python-nightly-wheels/simple https://pypi.anaconda.org/liberfa/simple https://pypi.anaconda.org/astropy/simple # No astropy py314 wheels on pypi yet py314: PIP_EXTRA_INDEX_URL = https://pypi.anaconda.org/liberfa/simple https://pypi.anaconda.org/astropy/simple deps = cov: coverage devdeps: numpy>=0.0.dev0 devdeps: pyerfa>=0.0.dev0 devdeps: astropy>=0.0.dev0 oldestdeps: astropy==4.2 # We set a suitably old numpy along with an old astropy, no need to pick up # deprecations and errors due to their unmatching versions oldestdeps: numpy==1.20 online: pytest-rerunfailures commands = pip freeze !cov: pytest --pyargs {env:PYTEST_ARGS} # Run pytest with coverage to include module imports in report # See https://github.com/pytest-dev/pytest-cov/issues/455 for more info cov: coverage run -m pytest --pyargs --cov-config={toxinidir}/setup.cfg {env:PYTEST_ARGS} cov: coverage xml -o {toxinidir}/coverage.xml [testenv:linkcheck] changedir = docs description = check the links in the HTML docs extras = docs commands = pip freeze sphinx-build -W -b linkcheck . _build/html [testenv:build_docs] changedir = docs description = invoke sphinx-build to build the HTML docs extras = docs commands = pip freeze sphinx-build -W -b html . _build/html [testenv:codestyle] skip_install = true description = check code style deps = flake8 changedir = {toxinidir} commands = flake8 pyvo --count

Examples for the TAP service at HEASARC

Simple geometric query on rosmaster with circle and point

The Table Access Protocol Service at HEASARC allow for simple geometric queries. For example, this query searches for observations in the rostmaster catalog within a circle of radius 1 degree of the coordinates (ra,dec)=(50,-85) -- i.e., basically a cone search -- and an exposure longer than 10000 seconds: 

            SELECT * FROM rosmaster                      WHERE exposure > 10000 and                            1=CONTAINS(POINT('ICRS', ra, dec),CIRCLE('ICRS', 50, -85, 1))

Simple geometric query on rosmaster with circle and point

The Table Access Protocol Service at HEASARC allow for simple geometric and cross-match queries. For example, this query searches for observations common to the rostmaster catalog AND the chanmaster catalog with a minimum exposure of 10ks. 

	   SELECT * FROM rosmaster as ros	            INNER JOIN chanmaster as chan	                ON ros.name = chan.name	            WHERE ros.exposure > 10000 and chan.exposure > 10000	            ORDER by ros.exposure

Simple geometric query on rosmaster with intersects, circle, point

The Table Access Protocol Service at HEASARC allow for simple geometric queries. For example, this (slow) query searches for observations in the rostmaster catalog where a circle of radius 1 degree of the coordinates (ra,dec)=(50,-85) intersects with a circle of 1 degree radius around the center of the pointing: 

            SELECT * FROM rosmaster                      WHERE 1=INTERSECTS(CIRCLE('ICRS', ra, dec,1),CIRCLE('ICRS', 50, -85, 1))

Simple geometric query on rosmaster with polygon

The Table Access Protocol Service at HEASARC allow for simple geometric queries. For example, this query searches for observations in the rostmaster catalog where a pointing lies with a user-defined polygon, in this case a triangle with vertices (-5,-5), (5,-5), and (0,5)): 

            SELECT * FROM rosmaster                      WHERE  exposure > 10000 AND                             1=CONTAINS(POINT('ICRS', ra, dec),POLYGON('ICRS', -5, -5, 5, -5, 0, 5))

Simple geometric query on rosmaster, chanmaster with join on distance

The Table Access Protocol Service at HEASARC allow for simple geometric queries. For example, this query computes the distance between rostmaster observations and a given point, selecting those observations near it, and ordering the result by that distance: 

          SELECT DISTANCE(	      POINT('ICRS', ra, dec),              POINT('ICRS', 266.41683, -29.00781)) AS dist, *	  FROM rosmaster	  WHERE 1=CONTAINS(	      POINT('ICRS', ra, dec),	      CIRCLE('ICRS', 266.41683, -29.00781, 1))	  ORDER BY dist ASC
ObsCore queries