`.
## Register updater
The package can be extended by registering an additional `updater` as a sub class of `EnvoyUpdater`. Such an updater can serve as an alternative data source for existing data sources and provide requested data if other updaters don't. The added updater can only store data in one of the existing data attributes of [EnvoyData](#pyenphase.EnvoyData) or store the raw data in Envoy's [`raw`](./data_raw.md#raw-data) attribute.
An updater requires 2 methods. A `probe` method which is used to initialize the updater and is only called once and signals capability to provide the data, and an `update` method which is called repeatedly to collect the data. Each may collect the same or different data based on the needs. The updater will have to provide same data as other updaters for the data attributes in scope.
### Example: Extend EnvoySystemProduction
The [EnvoySystemProduction](#pyenphase.models.system_production.EnvoySystemProduction) class provides overall [production data](./data_production.md) reported by the Envoy. The data is sourced from various endpoints based on Envoy type and the firmware running in the Envoy. This package does not include reporting from Envoy Legacy HTML pages.[^1]
[^1]: Prime intent during design was to work with [Home Assistant](https://www.home-assistant.io/) and Home Assistant has an [architectural rule denying the use of webscraping](https://github.com/home-assistant/architecture/blob/master/adr/0004-webscraping.md) for core integrations. Though it allows scraping for custom integrations. This package however can be used to build any application, hence this example.
#### Legacy Envoy SystemProduction
This example will get production data from legacy Envoy html production page and report it in the existing EnvoySystemProduction class also used for other Envoy versions. First step is to define a data model as a sub-class of [EnvoySystemProduction](#pyenphase.models.system_production.EnvoySystemProduction) and its method to obtain the data from the returned Envoy html. In below example the method 'from_production_legacy' provides this. The returned data should be the EnvoysSystemProduction class members.
```python
from pyenphase import EnvoyData, EnvoySystemProduction, register_updater
from pyenphase.const import URL_PRODUCTION, SupportedFeatures
from pyenphase.envoy import get_updaters
from pyenphase.exceptions import ENDPOINT_PROBE_EXCEPTIONS
# regex to find production data in html page
_KEY_TO_REGEX = {
"watts_now": r"Current.* \s*\s*(\d+|\d+\.\d+)\s*(W|kW|MW) ",
"watt_hours_last_7_days": r"Past Week \s*\s*(\d+|\d+\.\d+)\s*(Wh|kWh|MWh) ",
"watt_hours_today": r"Today \s*\s*(\d+|\d+\.\d+)\s*(Wh|kWh|MWh) ",
"watt_hours_lifetime": r"Since Installation \s*\s*(\d+|\d+\.\d+)\s*(Wh|kWh|MWh) ",
}
class LegacyEnvoySystemProduction(EnvoySystemProduction):
"""Get production data from legacy Envoy html"""
def from_production_legacy(cls, text: str) -> EnvoySystemProduction:
"""Legacy parser."""
data: dict[str, int] = {
"watts_now": 0,
"watt_hours_today": 0,
"watt_hours_last_7_days": 0,
"watt_hours_lifetime": 0,
}
# extract the date from the html using regex
for key, regex in _KEY_TO_REGEX.items():
if match := re.search(regex, text, re.MULTILINE):
unit = match.group(2).lower()
value = float(match.group(1))
# scale units to w or wh
if unit.startswith("k"):
value *= 1000
elif unit.startswith("m"):
value *= 1000000
data[key] = int(value)
return cls(**data)
```
#### LegacyProductionScraper
Next define the actual updater as a subclass of [EnvoyUpdater](#pyenphase.updaters.base.EnvoyUpdater). The updater will collect the data and use above model to report the data.
```python
class LegacyProductionScraper(EnvoyUpdater):
```
##### Probe
As described before, the `probe` method is called once at initialization to detect and configure all that is needed. It is passed the bit mask (flags) of already `SupportedFeatures` by other updaters. If the feature this updater provides is already provided by an other updater, ours should exit and leave it to the other updater. In this example the feature flag is `SupportedFeatures.PRODUCTION`. If not set yet, the updater should configure and return `SupportedFeatures.PRODUCTION` flag set to signal the Envoy class it should be used to obtain data or None if not. Returning a set SupportedFeatures flag will cause the update method to be used during data collection.
To collect the data the EnvoyUpdater class provides the methods `_probe_request(endpoint)` and `_json_probe_request(endpoint)`. These methods can be used retrieve text/html or json data.
```python
async def probe(
self, discovered_features: SupportedFeatures
) -> SupportedFeatures | None:
"""Probe the Envoy for for Production HTML and return PRODUCTION SupportedFeature."""
if SupportedFeatures.PRODUCTION in discovered_features:
# Already discovered from another updater, leave alone
return None
try:
# get html data from the envoy using the probe_request
response = await self._probe_request(URL_PRODUCTION)
data = response.text
except ENDPOINT_PROBE_EXCEPTIONS:
return None
# check if response contains what we expect
if "Since Installation" not in data:
return None
# remember and return PRODUCTION as my supported feature.
self._supported_features |= SupportedFeatures.PRODUCTION
return self._supported_features
```
##### Update
The `update` method is called at each update cycle to provide the actual data. It is passed the EnvoyData class to store the data to. The data collection methods provided by the EnvoyUpdater class are `_json_request(endpoint)` and `_request(endpoint)`. Typically the method uses a data model to extract the data from the response.
```python
async def update(self, envoy_data: EnvoyData) -> None:
"""Update the Envoy for this updater."""
# Get the HTML data from the Envoy
response = await self._request(URL_PRODUCTION)
production_data = response.text
# Store the data as is in the raw json of the EnvoyData
envoy_data.raw[URL_PRODUCTION] = production_data
# Store data in Envoy data using our data model.
envoy_data.system_production = (
LegacyEnvoySystemProduction.from_production_legacy(production_data)
)
```
##### Register updater
To make the updater available for use, it must be registered with the Envoy using `register_updater`. Upon completion of the registration perform the usual setup, authentication and probe of the Envoy and start data collection.
```python
# Initialize Envoy, setup and authenticate
envoy = Envoy(host)
# register our updater for legacy envoy
remove = register_updater(LegacyProductionScraper)
assert LegacyProductionScraper in get_updaters()
# setup and authenticate with Envoy
await envoy.setup()
await envoy.authenticate(username=username, password=password, token=token)
# probe what endpoints are available
await envoy.probe()
# get data, the production values now fill from html
data: EnvoyData = await envoy.update()
# remove our updater from the envoy
remove()
assert LegacyProductionScraper not in get_updaters()
```
Registering the updater inserts it at the end of the updaters giving priority to existing updaters to return production (in this example) data. If all prior ones fail, the newly registered one will be used. Adding a new one only makes sense for cases where the endpoint is not successfully accessed by the other ones. This is implemented by the use of the SupportedFeatures flags.
### Example: New attribute EnvoyHomeInformation
The previous example [Extend EnvoySystemProduction](#example-extend-envoysystemproduction) added a new data source for an existing attribute. Similarly a datasource for a new attribute can be added by registering an updater. The process is the same as the previous example with only difference being no existing EnvoyData attribute available and the EnvoyData.raw is to be used. This example will add retrieval of data from the Envoy Home endpoint /home.json.
#### EnvoyHomeInformation
The data model to use is new and designed towards the needs.
```python
from pyenphase import EnvoyData, EnvoySystemProduction, register_updater
from pyenphase.const import URL_PRODUCTION, SupportedFeatures
from pyenphase.envoy import get_updaters
from pyenphase.exceptions import ENDPOINT_PROBE_EXCEPTIONS
@dataclass(slots=True)
class EnvoyHomeInformation():
"""Get home data from Envoy"""
software_build_epoch: int
timezone: str
@classmethod
def from_home(cls, data: dict[str, Any]):
"""Initialize from the Home API."""
return cls(
software_build_epoch=data["software_build_epoch"],
timezone=data["timezone"],
)
```
#### EnvoyHome
As described, the updater is a subclass of [EnvoyUpdater](#pyenphase.updaters.base.EnvoyUpdater) and provides `probe` and `update` methods. As this is a new attribute no SupportedFeatures flags exists for it. The next higher flag is used to signal back this updater has data to provide. [^2]
[^2]: When adding multiple new unique features make sure flags are unique by adding more left shifts as needed `myflag = 1 << (len(SupportedFeatures) + 1)`.
```python
class EnvoyHome(EnvoyUpdater):
async def probe(
self, discovered_features: SupportedFeatures
) -> SupportedFeatures | None:
"""Probe the Envoy for home information."""
myflag = 1 << len(SupportedFeatures)
if myflag & discovered_features:
# Already discovered from another updater
return None
try:
home_json: dict[str, Any] = await self._json_probe_request("/home.json")
except ENDPOINT_PROBE_EXCEPTIONS:
return None
# our data not found in the page
if "software_build_epoch" not in home_json:
return None
# signal we can provide this data
self._supported_features |= myflag
return self._supported_features
async def update(self, envoy_data: EnvoyData) -> None:
"""Update the Envoy for this /home.json."""
home_data = await self._json_request("/home.json")
# No EnvoyData attribute, only return raw as is
envoy_data.raw["/home.json"] = home_data
```
As there's no EnvoyData attribute to store the `EnvoyHome` data it should be obtained by the application using the model.
```python
# Initialize Envoy, setup and authenticate
envoy = Envoy(host)
# register our updater for legacy envoy
remove = register_updater(EnvoyHome)
assert EnvoyHome in get_updaters()
# setup and authenticate with Envoy
await envoy.setup()
await envoy.authenticate(username=username, password=password, token=token)
# probe what endpoints are available
await envoy.probe()
# get data, the production values now fill from html
data: EnvoyData = await envoy.update()
# obtain our data from raw using the model
home_info: EnvoyHomeInformation = (
EnvoyHomeInformation.from_home(data.raw['/home.json'])
)
print(f'Home info: {home_info.timezone}')
```
## Unregister updater
The reverse of [registering an updater](#register-updater) is to remove an existing updater by removing its registration. If the data should not be collected, or causes issues, one could consider removing the registration. Make sure to do this before first probe/data collection, or re-run probe after removing an updater.
```python
from pyenphase.envoy import get_updaters
from pyenphase.updaters.base import EnvoyUpdater
from pyenphase.updaters.tariff import EnvoyTariffUpdater
"""Remove the EnvoyTariffUpdater Pyenphase UPDATERS."""
updaters: list[type[EnvoyUpdater]] = get_updaters()
if EnvoyTariffUpdater in updaters:
updaters.remove(EnvoyTariffUpdater)
```
pyenphase-pyenphase-901c49f/docs/changelog.md 0000664 0000000 0000000 00000000042 15131663564 0021250 0 ustar 00root root 0000000 0000000 ```{include} ../CHANGELOG.md
```
pyenphase-pyenphase-901c49f/docs/conf.py 0000664 0000000 0000000 00000002305 15131663564 0020302 0 ustar 00root root 0000000 0000000 # Configuration file for the Sphinx documentation builder.
#
# For the full list of built-in configuration values, see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Project information -----------------------------------------------------
# https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information
project = "pyenphase"
copyright = "2023-2025, pyenphase"
author = "pyenphase"
release = "|release|"
# -- General configuration ---------------------------------------------------
# https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration
extensions = [
"myst_parser",
"sphinx.ext.autodoc",
"sphinx.ext.napoleon",
"sphinx_autodoc_typehints",
]
# The suffix of source filenames.
source_suffix = [
".rst",
".md",
]
templates_path = ["_templates"]
exclude_patterns = ["_build", "Thumbs.db", ".DS_Store"]
# Generate internal ancjors for headings
myst_heading_anchors = 4
# -- Options for HTML output -------------------------------------------------
# https://www.sphinx-doc.org/en/master/usage/configuration.html#options-for-html-output
html_theme = "sphinx_rtd_theme"
html_static_path = ["_static"]
pyenphase-pyenphase-901c49f/docs/contributing.md 0000664 0000000 0000000 00000000045 15131663564 0022033 0 ustar 00root root 0000000 0000000 ```{include} ../CONTRIBUTING.md
```
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The pyenphase package collects {py:class}`~pyenphase.EnvoyData` from a specific set of endpoints on the Envoy. The set is based on the home owner [authorization level](./usage_authentication.md#authorization-levels) as a common denominator. Additional endpoints [can be requested](./requests.md#requests), but require application logic.
```{toctree}
:maxdepth: 3
:hidden:
data_production
data_consumption
phase_data
data_inverters
data_ensemble
data_ctmeter
data_raw
endpoint_json
known_issues
```
pyenphase-pyenphase-901c49f/docs/data_consumption.md 0000664 0000000 0000000 00000017656 15131663564 0022713 0 ustar 00root root 0000000 0000000 # System_Consumption data
This is the aggregated energy consumption by the house, as reported by the Envoy, class {py:class}`~pyenphase.models.system_consumption.EnvoySystemConsumption`. This is often referred to as total consumption. It is only available for metered Envoy with an installed and configured consumption CT Meter, either for net or total consumption.
```python
data: EnvoyData = await envoy.update()
if data.system_consumption:
print(f'Watts: {data.system_consumption.watts_now}')
print(f'TodaysEnergy: {data.system_consumption.watt_hours_today}')
print(f'LifetimeEnergy {data.system_consumption.watt_hours_lifetime}')
print(f'Last7DaysEnergy {data.system_consumption.watt_hours_last_7_days}')
```
## System_Consumption_Phases
For [metered Envoy with multi-phase installations](./phase_data.md#phase-data), consumption phase data is available in Envoy attribute {py:attr}`~pyenphase.EnvoyData.system_consumption_phases` keyed by {py:class}`~pyenphase.const.PhaseNames`.
```python
from pyenphase.const import PhaseNames, PHASENAMES
data: EnvoyData = await envoy.update()
if envoy.phase_count > 1 and data.system_consumption_phases:
for phase in data.system_consumption_phases:
print(f'{phase} Watts: {data.system_consumption_phases[phase].watts_now}')
print(f'{phase} TodaysEnergy: {data.system_consumption_phases[phase].watt_hours_today}')
print(f'{phase} LifetimeEnergy {data.system_consumption_phases[phase].watt_hours_lifetime}')
print(f'{phase} Last7DaysEnergy {data.system_consumption_phases[phase].watt_hours_last_7_days}')
# report specific phase data by using PhaseNames (for phase 1)
print(f'Value watt_hours_lifetime : {data.system_consumption_phases[PhaseNames.PHASE_1].watt_hours_lifetime}')
# report specific phase data by using phase index 0-2 (for phase 1)
print(f'Value watt_hours_lifetime : {data.system_consumption_phases[PHASENAMES[0]].watt_hours_lifetime}')
```
## Data sources
The data is provided by one of the [updaters](updaters.md) below, ordered in their probe sequence.
This data set is identified by the {py:class}`pyenphase.const.SupportedFeatures` flags {py:attr}`~pyenphase.const.SupportedFeatures.TOTAL_CONSUMPTION` or {py:attr}`~pyenphase.const.SupportedFeatures.NET_CONSUMPTION`, based on which consumption CT is installed. The first updater probe that returns either of the two feature flags will be used.
### {py:class}`~pyenphase.updaters.production.EnvoyProductionJsonUpdater`
This is the default updater for consumption data. It provides data for aggregated phases and individual phases. Data is measured/calculated by the Envoy.
| | | |
| --------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------- | --- |
| endpoint | [`/production.json?details=1`](endpoint_json.md#productionjsondetails1) | |
| json path aggregated | `consumption[?(@.type=='eim' && @.activeCount > 0 && (@.measurementType == 'total-consumption' \|\| @.measurementType == 'net-consumption'))]` | |
| json path phases | `consumption[?(@.type=='eim' && @.activeCount > 0 && ((@.measurementType == 'total-consumption' \|\| @.measurementType == 'net-consumption'))].lines[\*]` | |
| | | |
| data | json node | uom |
| {py:attr}`~pyenphase.models.system_consumption.EnvoySystemConsumption.watt_hours_lifetime` | whLifetime | Wh |
| {py:attr}`~pyenphase.models.system_consumption.EnvoySystemConsumption.watt_hours_last_7_days` | whLastSevenDays | Wh |
| {py:attr}`~pyenphase.models.system_consumption.EnvoySystemConsumption.watt_hours_today` | whToday | Wh |
| {py:attr}`~pyenphase.models.system_consumption.EnvoySystemConsumption.watts_now` | wNow | W |
### {py:class}`~pyenphase.updaters.production.EnvoyProductionUpdater`
This is an alternative updater for consumption data if the standard updater data is not available. It only provides data for aggregated phases. Data is measured/calculated by the Envoy.
| | | |
| --------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------- | --- |
| endpoint | [`/production`](endpoint_json.md#production) | |
| json path | `consumption[?(@.type=='eim' && @.activeCount > 0 && (@.measurementType == 'total-consumption' \|\| @.measurementType == 'net-consumption'))]` | |
| data | json node | uom |
| {py:attr}`~pyenphase.models.system_consumption.EnvoySystemConsumption.watt_hours_lifetime` | whLifetime | Wh |
| {py:attr}`~pyenphase.models.system_consumption.EnvoySystemConsumption.watt_hours_last_7_days` | whLastSevenDays | Wh |
| {py:attr}`~pyenphase.models.system_consumption.EnvoySystemConsumption.watt_hours_today` | whToday | Wh |
| {py:attr}`~pyenphase.models.system_consumption.EnvoySystemConsumption.watts_now` | wNow | W |
pyenphase-pyenphase-901c49f/docs/data_ctmeter.md 0000664 0000000 0000000 00000034426 15131663564 0021772 0 ustar 00root root 0000000 0000000
# Current Transformer Data
This section documents CT data for Envoy‑metered systems via {py:class}`~pyenphase.models.meters.EnvoyMeterData`.
Depending on how many and which CT are installed, data is available in:
- {py:attr}`pyenphase.EnvoyData.ctmeters`[{py:class}`~pyenphase.models.meters.CtType`]
Legacy per‑type attributes remain for compatibility:
- {py:attr}`pyenphase.EnvoyData.ctmeter_production`
- {py:attr}`pyenphase.EnvoyData.ctmeter_consumption`
- {py:attr}`pyenphase.EnvoyData.ctmeter_storage`
These map to their counterparts {py:attr}`pyenphase.EnvoyData.ctmeters`[{py:class}`~pyenphase.models.meters.CtType`]. In some future version these may be deprecated.
There are multiple CT types that can be installed. The CT meter types are enumerated as `production`, `storage`, `net-consumption`, `total-consumption`, `backfeed`, `load`, `evse` and `pv3p` by {py:class}`pyenphase.models.meters.CtType`. One or more of these can be installed and enabled. For multi-phase configurations, there will be one per phase.
```python
data: EnvoyData = await envoy.update()
production_ct = data.ctmeters[CtType.PRODUCTION]
print(f'eid: {production_ct.eid}')
print(f'timestamp: {production_ct.timestamp}')
print(f'energy_delivered: {production_ct.energy_delivered}')
print(f'energy_received: {production_ct.energy_received}')
print(f'power_factor: {production_ct.power_factor}')
print(f'active_power: {production_ct.active_power}')
print(f'voltage: {production_ct.voltage}')
print(f'current: {production_ct.current}')
print(f'frequency: {production_ct.frequency}')
print(f'state: {production_ct.state}')
print(f'measurement_type: {production_ct.measurement_type}')
print(f'metering_status: {production_ct.metering_status}')
print(f'status_flags: {production_ct.status_flags}')
```
To detect how many CTs are installed, use the Envoy property {py:attr}`~pyenphase.Envoy.ct_meter_count`. You can identify which CT meters are available via {py:attr}`pyenphase.Envoy.ct_meter_list`. To test presence of individual CT meters use {py:meth}`pyenphase.Envoy.meter_type` with a {py:class}`~pyenphase.models.meters.CtType` argument.
The consumption CT can be either `net-consumption` (installed at the grid boundary) or `total-consumption` (measuring house load); see [ct-model](#ct-model) below. Which one is installed, is available in {py:attr}`pyenphase.Envoy.consumption_meter_type`. The IQ Metered collar includes an embedded `net-consumption` CT.
```python
how_many_ct = envoy.ct_meter_count
meter_list = envoy.ct_meter_list
consumption_ct = 'installed' if envoy.consumption_meter_type else 'not installed'
production_ct = 'installed' if envoy.meter_type(CtType.PRODUCTION) else 'not installed'
storage_ct = 'installed' if CtType.STORAGE in meter_list else 'not installed'
print(f'This Envoy has Production CT {production_ct}, Consumption CT {consumption_ct}, and Storage CT {storage_ct}')
```
## Consumption CT options
The consumption CT can be installed in two configurations: `Solar + Load` or `Load only`. The attribute {py:attr}`~pyenphase.Envoy.consumption_meter_type` indicates whether the CT is operating in `net-consumption` or `total-consumption` mode.
In `net-consumption` mode, {py:attr}`~pyenphase.models.meters.EnvoyMeterData.energy_delivered` reports cumulative site import (energy received from the grid), while {py:attr}`~pyenphase.models.meters.EnvoyMeterData.energy_received` reports cumulative site export (energy sent to the grid).[^1][^2] In `total-consumption` mode, the CT reports only the house load.
{py:attr}`~pyenphase.models.meters.EnvoyMeterData.active_power` is the instantaneous power; its sign reflects the direction of energy flow.
[^1]: Provided the CT is installed on the main grid entry. Refer to the [CT Model](#ct-model) for delivered and received directions.
[^2]: Variations between firmware releases may exist.
```python
if (cttype := data.consumption_meter_type) == CtType.NET_CONSUMPTION:
grid_import = data.ctmeters[cttype].energy_delivered
grid_export = data.ctmeters[cttype].energy_received
grid_power = data.ctmeters[cttype].active_power
else:
print("No net consumption CT installed")
```
## Production CT Options
The production CT measures solar production. {py:attr}`~pyenphase.models.meters.EnvoyMeterData.energy_delivered` reports the energy generated by the solar array, while {py:attr}`~pyenphase.models.meters.EnvoyMeterData.energy_received` reports energy consumed by the solar hardware. The latter is typically minimal (e.g., inverter consumption during dawn and dusk).[^2]
## Storage CT Options
The storage CT measures battery charge and discharge. {py:attr}`~pyenphase.models.meters.EnvoyMeterData.energy_delivered` reports energy discharged from the battery, while {py:attr}`~pyenphase.models.meters.EnvoyMeterData.energy_received` reports energy charged to the battery.[^2]
## Backfeed CT Options
The backfeed CT measures energy fed back from the Combiner to the switchboard. {py:attr}`~pyenphase.models.meters.EnvoyMeterData.energy_delivered` reports energy fed back, while {py:attr}`~pyenphase.models.meters.EnvoyMeterData.energy_received` reports received from the switchboard.[^2]
## Load CT Options
The load CT measures energy flow between the combiner and backup loads (installations may vary with backup and non‑backup loads). Per the CT Model, {py:attr}`~pyenphase.models.meters.EnvoyMeterData.energy_delivered` is energy towards the switchboard, and {py:attr}`~pyenphase.models.meters.EnvoyMeterData.energy_received` is energy from the switchboard.[^2]
## EVSE CT Options
The EVSE CT measures energy flow between the combiner and the EV charger. Per the CT Model, {py:attr}`~pyenphase.models.meters.EnvoyMeterData.energy_delivered` is energy towards the switchboard, and {py:attr}`~pyenphase.models.meters.EnvoyMeterData.energy_received` is energy from the switchboard.[^2]
## PV3P CT Options
The PV3P CT measures solar production by third party PV. {py:attr}`~pyenphase.models.meters.EnvoyMeterData.energy_delivered` reports the energy generated by the solar array, while {py:attr}`~pyenphase.models.meters.EnvoyMeterData.energy_received` reports energy consumed by the solar hardware. The latter is typically minimal (e.g., consumption during dawn and dusk).[^2]
## CT Model
Below is a generic model for installed CTs. Each CT can be considered as facing the switchboard and reporting energy delivered to the switchboard in its `energy_delivered` property and energy received from the switchboard in `energy_received`. Power is positive towards the switchboard and negative from the switchboard.
These properties have different meaning for each specific CT. For a net-consumption CT, delivered is import from the grid, for Solar production CT, it is solar production and for a battery CT it is battery discharge. A total-consumption CT typically has no delivery but only receives what is consumed by the house.
When a combiner is used, several other CT types may be available.
> NOTE
>
> - This in no way represents a configuration direction, as actual configuration is driven by local rules, installer designs and Enphase installation guidelines. Variations may exist, based on specific needs or rules. This merely describes a simplified view and naming conventions used in this documentation to clarify integration operation. Refer to [Enphase documentation](https://enphase.com/installers/resources/documentation/communication) for more information.
> - Some element positions, including PV3P, are assumed positions and still need confirmation.
> - This is an independent publication and has not been authorized, sponsored, or otherwise approved by Enphase Energy, Inc. It is loosely based on Enphase technical brief “PCS integration in 4th-generation Enphase Energy Systemsâ€.
## Dual CT attributes, single production report attribute
An Envoy metered with CTs installed, sources production and consumption data from the CT meters. The [system_production](data_production.md#system_production-data) data is collected from the production CT. The [system_consumption](data_consumption.md#system_consumption-data) data represents total house load and is either collected from the consumption CT in `total-consumption` mode or calculated by the Envoy from both production and consumption CTs when the consumption CT is in `net-consumption` mode.
A single increasing/decreasing total of import and export is reported by the [`/production.json?details=1`](endpoint_json.md#productionjsondetails1) in `net-consumption` as `whLifetime` for energy and `wNow` for power. CT readings provide two monotonically increasing energy properties, `actEnergyDlvd` and `actEnergyRcvd`; power is reported in a single value `activePower`.
## Multi-phase CT
For [metered Envoy with multi‑phase installations](./phase_data.md#phase-data), CT phase data is available in:
- {py:attr}`pyenphase.EnvoyData.ctmeters_phases`[{py:class}`~pyenphase.models.meters.CtType`][{py:class}`~pyenphase.const.PhaseNames`]
Legacy per‑type attributes remain for compatibility:
- {py:attr}`pyenphase.EnvoyData.ctmeter_production_phases`
- {py:attr}`pyenphase.EnvoyData.ctmeter_consumption_phases`
- {py:attr}`pyenphase.EnvoyData.ctmeter_storage_phases`
Phase data is only populated if CTs are installed on more than 1 phase for production and/or consumption phases.
To detect if multiple phases are reporting, use the Envoy property {py:attr}`~pyenphase.Envoy.phase_count`.
```python
data: EnvoyData = await envoy.update()
if envoy.phase_count > 1:
for phase, phase_data in data.ctmeters_phases.get(CtType.PRODUCTION, {}).items():
for key, value in vars(phase_data).items():
print(f'{phase} {key}: {value}')
```
## Data sources
The data is provided by the [updaters](updaters.md) below.
This data set is identified by the {py:class}`pyenphase.const.SupportedFeatures` flag {py:attr}`~pyenphase.const.SupportedFeatures.CTMETERS`. In addition it returns {py:attr}`~pyenphase.const.SupportedFeatures.THREEPHASE` or {py:attr}`~pyenphase.const.SupportedFeatures.DUALPHASE` to signal if a multi-phase mode is active.
### {py:class}`~pyenphase.updaters.meters.EnvoyMetersUpdater`
This is the default updater for CT data. It provides data for aggregated phases and individual phases. Data is measured/calculated by the Envoy.
| | | |
| ------------------------------------------------------------------- | ------------------------------------------------------------------------ | --- |
| endpoint config | [`/ivp/meters`](endpoint_json.md#ivpmeters) | |
| endpoint data | [`/ivp/meters/readings`](endpoint_json.md#ivpmetersreadings) | |
| json path config | `$` | |
| eid of production | `[?(@.measurementType=='production' && @.state=='enabled')][eid]` | |
| eid of consumption | `[?(@.measurementType=='net-consumption' && @.state=='enabled')][eid]` | |
| | `[?(@.measurementType=='total-consumption' && @.state=='enabled')][eid]` | |
| eid of storage | `[?(@.measurementType=='storage' && @.state=='enabled')][eid]` | |
| json path aggregated | `[?(@.eid==)]` | |
| json path phases | `[?(@.eid==)].channels[*]` | |
| | | |
| class data | json node | uom |
| {py:attr}`~pyenphase.models.meters.EnvoyMeterData.eid` | eid | |
| {py:attr}`~pyenphase.models.meters.EnvoyMeterData.timestamp` | timestamp | |
| {py:attr}`~pyenphase.models.meters.EnvoyMeterData.energy_delivered` | actEnergyDlvd | Wh |
| {py:attr}`~pyenphase.models.meters.EnvoyMeterData.energy_received` | actEnergyRcvd | Wh |
| {py:attr}`~pyenphase.models.meters.EnvoyMeterData.active_power` | activePower | W |
| {py:attr}`~pyenphase.models.meters.EnvoyMeterData.power_factor` | pwrFactor | |
| {py:attr}`~pyenphase.models.meters.EnvoyMeterData.voltage` | voltage | V |
| {py:attr}`~pyenphase.models.meters.EnvoyMeterData.current` | current | A |
| {py:attr}`~pyenphase.models.meters.EnvoyMeterData.frequency` | freq | Hz |
| {py:attr}`~pyenphase.models.meters.EnvoyMeterData.state` | state | |
| {py:attr}`~pyenphase.models.meters.EnvoyMeterData.measurement_type` | measurementType | |
| {py:attr}`~pyenphase.models.meters.EnvoyMeterData.metering_status` | meteringStatus | |
| {py:attr}`~pyenphase.models.meters.EnvoyMeterData.status_flags` | statusFlags | |
pyenphase-pyenphase-901c49f/docs/data_ensemble.md 0000664 0000000 0000000 00000007246 15131663564 0022121 0 ustar 00root root 0000000 0000000 # Enphase Ensemble
Enphase ensemble [^1] provides information on installed battery storage and how it is used for optional EV charging or power provision.
[^1]: Older name, more recent name `Enphase Energy System`.
## Enphase Enpower data
The Enphase Enpower [^2] connects the home to grid power, the Encharge storage system, and solar PV. Information on it can be obtained from the [EnvoyEnpower](#pyenphase.models.enpower.EnvoyEnpower).
[^2]: Older Name, more recent name IQ System Controller
The Envoy class provides the methods [Go_Off_Grid](#pyenphase.Envoy.go_off_grid) and [Go_On_Grid](#pyenphase.Envoy.go_on_grid) to control the grid connection.
```python
status = await envoy.go_off_grid()
if status["mains_admin_state"] != "open":
#error clogoing off grid
status = await envoy.go_off_grid()
if status["mains_admin_state"] != "closed":
#error clogoing off grid
```
[Open_dry_contact](#pyenphase.Envoy.open_dry_contact) and [close_dry_contact](#pyenphase.Envoy.close_dry_contact) allows to to control the dry contacts.
```python
status = await envoy.close_dry_contact(id)
print(f"{envoy.data.dry_contact_status[id].status}")
status = await envoy.open_dry_contact(id)
print(f"{envoy.data.dry_contact_status[id].status}")
```
Dry Contact information is available in the [EnvoyData.dry_contact_status](#pyenphase.EnvoyData.dry_contact_status) and [Envoy.dry_contact_settings](#pyenphase.EnvoyData.dry_contact_settings).
[Envoy.update_dry_contact](#pyenphase.Envoy.update_dry_contact) can be used to update settings, use with care and only if fully aware of impact!
```python
new_setting: dict[str, Any] = {}
new_setting['id'] = id
new_setting['load_name'] = load_name
status = await envoy.update_dry_contact(new_setting)
print (status)
```
## Envoy Encharge data
The Enphase Encharge controls battery charge and discharge. Information on it can be obtained from [EnvoyEncharge](#pyenphase.models.encharge.EnvoyEncharge) for individual batteries, [EnvoyEnchargePower](#pyenphase.models.encharge.EnvoyEnchargePower) and [EnvoyEnchargeAggregate](#pyenphase.models.encharge.EnvoyEnchargeAggregate) for all batteries aggregated.
The Envoy class provides the methods [Envoy.enable_charge_from_grid](#pyenphase.Envoy.enable_charge_from_grid), [Envoy.disable_charge_from_grid](#pyenphase.Envoy.disable_charge_from_grid), [Envoy.set_storage_mode](#pyenphase.Envoy.set_storage_mode) and [set_reserve_soc](#pyenphase.Envoy.set_reserve_soc).
```python
status = await envoy.enable_charge_from_grid(id)
print(f"{envoy.data.tariff.storage_settings.charge_from_grid}")
print (status)
status = await envoy.disable_charge_from_grid(id)
print(f"{envoy.data.dry_contact_status[id].status}")
print (status)
status = await envoy.set_storage_mode(mode: EnvoyStorageMode)
print(f"{envoy.data.tariff.data.tariff.storage_settings.mode}")
print (status)
status = await envoy.set_reserve_soc(value: int)
print(f"{envoy.data.tariff.storage_settings.reserved_soc}")
print (status)
```
## IQ Metered Collar data
The Enphase IQ Meter Collar is a meter socket adapter with an integrated microgrid interconnection device (MID) and current
sensors for energy consumption metering. The CT sensors in the collar provide the [net-consumption](./data_ctmeter.md#consumption-ct-options) data.
The MID status is available in the [EnvoyCollar](#pyenphase.models.collar.EnvoyCollar) data object.
## C6 Combiner data
The C6 Combiner status is available in the [EnvoyC6CC](#pyenphase.models.c6combiner.EnvoyC6CC) data object.
pyenphase-pyenphase-901c49f/docs/data_inverters.md 0000664 0000000 0000000 00000020422 15131663564 0022337 0 ustar 00root root 0000000 0000000 # Inverter data
Individual inverter data, available for all Envoy models as of firmware 3.9, class {py:class}`~pyenphase.models.inverter.EnvoyInverter`.
```python
for sn, inv in data.inverters.items():
print(f'{sn} sn: {inv.serial_number}')
print(f'{sn} watts: {inv.last_report_watts}')
print(f'{sn} max watts: {inv.max_report_watts}')
print(f'{sn} last report: {inv.last_report_date}')
print(f'{sn} panel output: {inv.dc_voltage}V @ {inv.dc_current}A')
print(f'{sn} output: {inv.ac_voltage}V @ {inv.ac_current}A {inv.ac_frequency}Hz')
print(f'{sn} temperature: {inv.temperature}°C')
print(f'{sn} energy produced: {inv.energy_produced} Wh')
print(f'{sn} energy produced today: {inv.energy_today} Wh')
print(f'{sn} lifetime energy produced: {inv.lifetime_energy} Wh')
```
```{note}
If the `/ivp/pdm/device_data` endpoint is not supported by the Envoy firmware, each {py:class}`~pyenphase.models.inverter.EnvoyInverter` will have `None` for the detailed attributes: `dc_voltage`, `dc_current`, `ac_voltage`, `ac_current`, `ac_frequency`, `temperature`, `energy_produced`, `energy_today`, and `lifetime_energy`.
```
## Data sources
The data is provided by one of the [updaters](updaters.md) below, ordered in their probe sequence.
The base data set is identified by the {py:class}`pyenphase.const.SupportedFeatures` flag {py:attr}`~pyenphase.const.SupportedFeatures.INVERTERS` and {py:attr}`~pyenphase.const.SupportedFeatures.DETAILED_INVERTERS` for inverter details. First updater probe that returns the {py:attr}`~pyenphase.const.SupportedFeatures.INVERTERS` feature flag will be used.
### {py:class}`~pyenphase.updaters.device_data_inverters.EnvoyDeviceDataInvertersUpdater`
This is the default updater for inverter data. It provides data for individual inverter production data as well as inverter device details. Data is measured/calculated by the Envoy.
| | | |
| ------------------------------------------------------------------------ | ------------------------------------------------------------ | --- |
| endpoint | [`/ivp/pdm/device_data`](endpoint_json.md#ivppdmdevice_data) | |
| json path | `[?(@.devName=='pcu')]` | |
| | | |
| data | json node | uom |
| {py:attr}`~pyenphase.models.inverter.EnvoyInverter.serial_number` | `sn` | |
| {py:attr}`~pyenphase.models.inverter.EnvoyInverter.last_report_date` | `channels[0].lastReading.endDate` | |
| {py:attr}`~pyenphase.models.inverter.EnvoyInverter.last_report_watts` | `channels[0].watts.now` | W |
| {py:attr}`~pyenphase.models.inverter.EnvoyInverter.max_report_watts` | `channels[0].watts.max` | W |
| {py:attr}`~pyenphase.models.inverter.EnvoyInverter.dc_voltage` | `channels[0].lastReading.dcVoltageINmV` | V |
| {py:attr}`~pyenphase.models.inverter.EnvoyInverter.dc_current` | `channels[0].lastReading.dcCurrentINmA` | A |
| {py:attr}`~pyenphase.models.inverter.EnvoyInverter.ac_voltage` | `channels[0].lastReading.acVoltageINmV` | V |
| {py:attr}`~pyenphase.models.inverter.EnvoyInverter.ac_current` | `channels[0].lastReading.acCurrentInmA` | A |
| {py:attr}`~pyenphase.models.inverter.EnvoyInverter.ac_frequency` | `channels[0].lastReading.acFrequencyINmHz` | Hz |
| {py:attr}`~pyenphase.models.inverter.EnvoyInverter.temperature` | `channels[0].lastReading.channelTemp` | °C |
| {py:attr}`~pyenphase.models.inverter.EnvoyInverter.lifetime_energy` | `channels[0].lifetime.joulesProduced/3600` | Wh |
| {py:attr}`~pyenphase.models.inverter.EnvoyInverter.energy_produced` | `channels[0].lastReading.joulesProduced/duration/3.6` | Wh |
| {py:attr}`~pyenphase.models.inverter.EnvoyInverter.energy_today` | `channels[0].wattHours.today` | Wh |
| {py:attr}`~pyenphase.models.inverter.EnvoyInverter.last_report_duration` | `channels[0].lastReading.duration` | s |
```{note}
Raw fields for dc/ac voltage/current/frequency are provided in milli‑units (mV, mA, mHz) by the endpoint and are converted to V/A/Hz by the model.
```
### {py:class}`~pyenphase.updaters.api_v1_production_inverters.EnvoyApiV1ProductionInvertersUpdater`
This is the updater for base inverter data. It only provides data for individual inverter production data. Data is measured/calculated by the Envoy.
| | | |
| ------------------------------------------------------------------------ | --------------------------------------------------------------------------- | --- |
| endpoint | [`/api/v1/production/inverters`](endpoint_json.md#apiv1productioninverters) | |
| json path | `$` | |
| | | |
| data | json node | uom |
| {py:attr}`~pyenphase.models.inverter.EnvoyInverter.serial_number` | `serialNumber` | |
| {py:attr}`~pyenphase.models.inverter.EnvoyInverter.last_report_date` | `lastReportDate` | |
| {py:attr}`~pyenphase.models.inverter.EnvoyInverter.last_report_watts` | `lastReportWatts` | W |
| {py:attr}`~pyenphase.models.inverter.EnvoyInverter.max_report_watts` | `maxReportWatts` | W |
| {py:attr}`~pyenphase.models.inverter.EnvoyInverter.dc_voltage` | not available | |
| {py:attr}`~pyenphase.models.inverter.EnvoyInverter.dc_current` | not available | |
| {py:attr}`~pyenphase.models.inverter.EnvoyInverter.ac_voltage` | not available | |
| {py:attr}`~pyenphase.models.inverter.EnvoyInverter.ac_current` | not available | |
| {py:attr}`~pyenphase.models.inverter.EnvoyInverter.ac_frequency` | not available | |
| {py:attr}`~pyenphase.models.inverter.EnvoyInverter.temperature` | not available | |
| {py:attr}`~pyenphase.models.inverter.EnvoyInverter.lifetime_energy` | not available | |
| {py:attr}`~pyenphase.models.inverter.EnvoyInverter.energy_produced` | not available | |
| {py:attr}`~pyenphase.models.inverter.EnvoyInverter.energy_today` | not available | |
| {py:attr}`~pyenphase.models.inverter.EnvoyInverter.last_report_duration` | not available | |
pyenphase-pyenphase-901c49f/docs/data_production.md 0000664 0000000 0000000 00000023601 15131663564 0022506 0 ustar 00root root 0000000 0000000 # System_Production data
This is the aggregated solar production data, as reported by the Envoy, class {py:class}`~pyenphase.models.system_production.EnvoySystemProduction`.
```python
data: EnvoyData = await envoy.update()
print(f'Watts: {data.system_production.watts_now}')
print(f'TodaysEnergy: {data.system_production.watt_hours_today}')
print(f'LifetimeEnergy {data.system_production.watt_hours_lifetime}')
print(f'Last7DaysEnergy {data.system_production.watt_hours_last_7_days}')
```
## System_Production_Phases
For [metered Envoy with multi-phase installations](./phase_data.md#phase-data), production phase data is available in {py:attr}`~pyenphase.EnvoyData.system_production_phases` keyed by {py:class}`~pyenphase.const.PhaseNames`.
```python
from pyenphase.const import PhaseNames, PHASENAMES
data: EnvoyData = await envoy.update()
# if more then 1 phase reported then get phase data
if envoy.actual_phase_count > 1 and data.system_production_phases:
# Get data by looping over phase data
for phase in data.system_production_phases:
print(f'{phase} Watts: {data.system_production_phases[phase].watts_now}')
print(f'{phase} TodaysEnergy: {data.system_production_phases[phase].watt_hours_today}')
print(f'{phase} LifetimeEnergy {data.system_production_phases[phase].watt_hours_lifetime}')
print(f'{phase} Last7DaysEnergy {data.system_production_phases[phase].watt_hours_last_7_days}')
# report specific phase data by using PhaseNames (for phase 1)
print(
f'watt_hours_lifetime : {data.system_production_phases[PhaseNames.PHASE_1].watt_hours_lifetime}'
)
# report specific phase data by using phase index 0-2 (for phase 1)
print(
f'watt_hours_lifetime : {data.system_production_phases[PHASENAMES[0]].watt_hours_lifetime}'
)
```
## Data sources
The data is provided by one of the [updaters](updaters.md) below, ordered in their probe sequence.
This data set is identified by the {py:class}`pyenphase.const.SupportedFeatures` flag {py:attr}`~pyenphase.const.SupportedFeatures.PRODUCTION`. First updater probe that returns the feature flag will be used.
### {py:class}`~pyenphase.updaters.production.EnvoyProductionJsonUpdater`
This is the default updater for production data. It provides data for aggregated phases and individual phases. Data is measured/calculated by the Envoy.
| | | |
| ------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------- | --- |
| endpoint | [`/production.json?details=1`](endpoint_json.md#productionjsondetails1) | |
| json path aggregated | `production[?(@.type=='eim' && @.activeCount > 0)]` | |
| json path phases | `production[?(@.type=='eim' && @.activeCount > 0)].lines[*]` | |
| | | |
| class data | json node | uom |
| {py:attr}`~pyenphase.models.system_production.EnvoySystemProduction.watt_hours_lifetime` | whLifetime | Wh |
| {py:attr}`~pyenphase.models.system_production.EnvoySystemProduction.watt_hours_last_7_days` | whLastSevenDays | Wh |
| {py:attr}`~pyenphase.models.system_production.EnvoySystemProduction.watt_hours_today` | whToday | Wh |
| {py:attr}`~pyenphase.models.system_production.EnvoySystemProduction.watts_now` | wNow | W |
### {py:class}`~pyenphase.updaters.production.EnvoyProductionUpdater`
This is an alternative updater for production data if the standard updater data is not available. It only provides data for aggregated phases. Data is measured/calculated by the Envoy.
| | | |
| ------------------------------------------------------------------------------------------- | --------------------------------------------------- | --- |
| endpoint | [`/production`](endpoint_json.md#production) | |
| json path | `production[?(@.type=='eim' && @.activeCount > 0)]` | |
| class data | json node | uom |
| {py:attr}`~pyenphase.models.system_production.EnvoySystemProduction.watt_hours_lifetime` | whLifetime | Wh |
| {py:attr}`~pyenphase.models.system_production.EnvoySystemProduction.watt_hours_last_7_days` | whLastSevenDays | Wh |
| {py:attr}`~pyenphase.models.system_production.EnvoySystemProduction.watt_hours_today` | whToday | Wh |
| {py:attr}`~pyenphase.models.system_production.EnvoySystemProduction.watts_now` | wNow | W |
### {py:class}`~pyenphase.updaters.api_v1_production.EnvoyApiV1ProductionUpdater`
This is an alternative updater for production data for non-metered Envoy or Envoy metered without installed CT. Previous updaters don't return data for this type. It only provides data for aggregated phases. Data is measured/calculated by the Envoy.
| | | |
| ------------------------------------------------------------------------------------------- | ---------------------------------------------------------- | --- |
| endpoint | [`/api/v1/production`](./endpoint_json.md#apiv1production) | |
| json path | `$` | |
| class data | json node | uom |
| {py:attr}`~pyenphase.models.system_production.EnvoySystemProduction.watt_hours_lifetime` | wattHoursLifetime | Wh |
| {py:attr}`~pyenphase.models.system_production.EnvoySystemProduction.watt_hours_last_7_days` | wattHoursSevenDays | Wh |
| {py:attr}`~pyenphase.models.system_production.EnvoySystemProduction.watt_hours_today` | wattHoursToday | Wh |
| {py:attr}`~pyenphase.models.system_production.EnvoySystemProduction.watts_now` | wattsNow | W |
For Envoy‑metered systems without CTs installed on firmware 8.2.8.2.4264 or newer, the V1 Production endpoint may report stalled values. When `/info` indicates `is_meter`, fall back to the inverters section in the Production endpoint (handled by the next updater).
### {py:class}`~pyenphase.updaters.production.EnvoyProductionJsonFallbackUpdater`
This is an alternative updater for production data for non-metered Envoy or Envoy metered without CT installed. The {py:class}`~pyenphase.updaters.api_v1_production.EnvoyApiV1ProductionUpdater` updater does not return data for some firmware versions. In that case, this updater falls back to the `inverters` section in the production report. It only provides data for aggregated phases. Data is measured/calculated by the Envoy.
| | | |
| ------------------------------------------------------------------------------------------- | ----------------------------------------------------------------- | --- |
| endpoint | `/production.json?details=1` or `/production` | |
| json path | `production[?(@.type=='inverters' && @.activeCount > 0)]` | |
| class data | json node | uom |
| {py:attr}`~pyenphase.models.system_production.EnvoySystemProduction.watt_hours_lifetime` | whLifetime | Wh |
| {py:attr}`~pyenphase.models.system_production.EnvoySystemProduction.watt_hours_last_7_days` | not in report,`
```
resulting in {py:data}`~pyenphase.const.SupportedFeatures.PRODUCTION` and {py:meth}`setup method `
### index.md
This is the documentation backbone, building the table of content and including all the individual documentation markdown files. As it's a markdown file itself, it is utilizing [sphynx directives](https://www.sphinx-doc.org/en/master/usage/restructuredtext/directives.html) to achieve this. In the markdown file place the directive in a fenced block with the directive between {}. The syntax between the fences is now as described for the sphynx directives.
Below example creates a main TOC entry for 'Installation & Usage' with 3 sub entries. The content of the 3 sub entries is read from the markdown files with the same names, these file must be present in same folder. Headers in the included files are relative to the caption and should start with a top level header.
```{toctree}
:caption: Installation & Usage
:maxdepth: 3
installation
usage
advanced
```
### Auto-documenting from code
The majority of the markdown files contain descriptive text. To generate documentation from the [Docstrings and comments](#autodoc) in the code files, use a fenced `{eval-rst}` using [Autodoc directives](https://www.sphinx-doc.org/en/master/usage/extensions/autodoc.html#directives). Below example will auto-document the `EnvoyTokenAuth` class from the file auth.py.
```{eval-rst}
.. autoclass:: pyenphase.auth.EnvoyTokenAuth
:members:
:undoc-members:
:show-inheritance:
:member-order: bysource
:class-doc-from: init
```
The headers, order and Docstring in the specified classes, modules and functions will generate the documentation for classes, methods and properties. Include a section for each module or class to document. For `autoclass` directives make sure to add `:class-doc-from: init` in order for the Docstring of \_\_init\_\_ to be used in the documentation generation.
#### model_autodoc.md
This file generates the `Classes, methods and properties` section from the Docstrings. It is imported by index.md under the header 'Data & Reference'. In model_autodoc.md, include an entry for each module or class to be included in the documentation.
### conf.py
This is the overall setup for the document generation. Any extension to use in document creation, should be added here.
extensions = [
"myst_parser",
"sphinx.ext.autodoc",
"sphinx.ext.napoleon",
"sphinx_autodoc_typehints",
]
## Build the docs locally
To test build the docs, change the working directory to the /docs folder in your project working folder. In there use
make clean
make html
The output is created in /docs/build/html. Open `index.html` in there to inspect the documentation locally.
pyenphase-pyenphase-901c49f/docs/endpoint_json.md 0000664 0000000 0000000 00000012126 15131663564 0022200 0 ustar 00root root 0000000 0000000 # Endpoint JSON
This section describes the Envoy data used by the library.
Enphase's installer resource website documents the IQ Gateway local API. As it’s a dynamic resource, use the filters for “Communication Device†and select the Envoy or IQ Gateway types. This [example link](https://enphase.com/installers/resources/documentation/communication) pre-selects communication documents. Use the product filters for Envoy and the “Design and Tech Briefs†topic filter.
A wealth of information on the Enphase local Envoy api is available from [Matthew1471's github repository](https://github.com/Matthew1471/Enphase-API), which is an excellent resource.
The endpoints used by the library are:
```{include} ../src/pyenphase/const.py
:start-after: Include in docs from here
:end-before: Include in docs to here
:literal:
```
## /info
### description
This endpoint is accessible without token authorization and provides information on system serial-number, part-numbers, running packages, firmware version and build date. It returns an xml formatted data set.
### xml
```{literalinclude} ./json_data/info.xml
:language: xml
```
## /home
### description
This endpoint is accessible without token authorization and provides information on configured network interfaces and communication. It is used to retrieve active network device when using {py:attr}`~pyenphase.Envoy.interface_settings`.
### json
```{literalinclude} ./json_data/home.json
:language: json
```
## /api/v1/production
### description
This endpoint is used for production data of a non‑metered Envoy or a metered Envoy without CTs installed. It only contains aggregated phase data. Data is measured/calculated by the Envoy.
Also see [Known Issues](known_issues.md#production--consumption-data).
### JSON
```{literalinclude} ./json_data/api_v1_production.json
:language: json
```
## /api/v1/production/inverters
### description
This is the endpoint used for basic inverter production data.
### JSON
```{literalinclude} ./json_data/api_v1_production_inverters.json
:language: json
```
## /ivp/meters
### description
This is the endpoint used for installed CT meters configuration.
### JSON
```{literalinclude} ./json_data/ivp_meters.json
:language: json
```
## /ivp/meters/readings
### description
This is the endpoint used for CT meter readings.
### JSON
```{literalinclude} ./json_data/ivp_meters_readings.json
:language: json
```
## /ivp/pdm/device_data
### description
This is the endpoint used for detailed inverter data.
Also see [Known Issues](known_issues.md#inverter-device-data).
### JSON
```{literalinclude} ./json_data/ivp_pdm_device_data.json
:language: json
```
## /production.json?details=1
### description
This is the default endpoint for production and consumption data. It contains data for aggregated and individual phases. Data is measured/calculated by the Envoy. Individual phase data is in the `lines` segment.
- For non-metered Envoy, the `type: "eim"` sections are not present.
- For Envoy-metered without a [_production_ CT](data_ctmeter.md#ct-model):
- the `production` item where `type == "eim"` and `measurementType == "production"` has `activeCount == 0`.
- For Envoy-metered with:
- a [_net-consumption_ CT](data_ctmeter.md#ct-model), the _total-consumption_ data is calculated by the Envoy.
- a [_total-consumption_ CT](data_ctmeter.md#ct-model), the _net-consumption_ data is calculated by the Envoy.
- For Envoy-metered without any _consumption_ CT:
- the `consumption` item where `type == "eim"` and `measurementType == "net-consumption"` has `activeCount == 0`;
- the `consumption` item where `type == "eim"` and `measurementType == "total-consumption"` has `activeCount == 0`.
Also see [Known Issues](known_issues.md#production--consumption-data).
### JSON
```{literalinclude} ./json_data/production_details.json
:language: json
```
## /production
### description
This is an endpoint for production and consumption data used when older firmware is running in the Envoy and the [standard endpoint](#productionjsondetails1) is not providing data. It only contains data for aggregated phases, no individual phase data is available. Data is measured/calculated by the Envoy.
- For non-metered Envoy, the `type: "eim"` sections are not present.
- For Envoy-metered without a [_production_ CT](data_ctmeter.md#ct-model):
- the `production` item where `type == "eim"` and `measurementType == "production"` has `activeCount == 0`.
- For Envoy-metered with:
- a [_net-consumption_ CT](data_ctmeter.md#ct-model), the _total-consumption_ data is calculated by the Envoy.
- a [_total-consumption_ CT](data_ctmeter.md#ct-model), the _net-consumption_ data is calculated by the Envoy.
- For Envoy-metered without any _consumption_ CT:
- the `consumption` item where `type == "eim"` and `measurementType == "net-consumption"` has `activeCount == 0`;
- the `consumption` item where `type == "eim"` and `measurementType == "total-consumption"` has `activeCount == 0`.
### Known issues
Also see [Known Issues](known_issues.md#production--consumption-data).
### JSON
```{literalinclude} ./json_data/production.json
:language: json
```
pyenphase-pyenphase-901c49f/docs/index.md 0000664 0000000 0000000 00000000503 15131663564 0020432 0 ustar 00root root 0000000 0000000 # Welcome to pyenphase documentation
```{toctree}
:caption: Installation & Usage
:maxdepth: 3
installation
usage
data
```
```{toctree}
:caption: Reference
:maxdepth: 3
model_autodoc
```
```{toctree}
:caption: Project Info
:maxdepth: 2
license
changelog
contributing
documenting
```
```{include} ../README.md
```
pyenphase-pyenphase-901c49f/docs/installation.md 0000664 0000000 0000000 00000000260 15131663564 0022024 0 ustar 00root root 0000000 0000000 # Installation
The package is published on [PyPI](https://pypi.org/project/pyenphase/) and can be installed with `pip` (or any equivalent):
```bash
pip install pyenphase
```
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"primary_interface": "wlan0",
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"ip": "192.168.1.100",
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{
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"type": "wifi",
"interface": "wlan0",
"mac": "02:03:04:05:06:07",
"dhcp": true,
"ip": "192.168.1.101",
"carrier": true,
"supported": true,
"present": true,
"configured": true,
"status": "connected"
}
]
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"tariff": "time_of_use",
"comm": {
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"pcu": {
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"level": 0
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"esub": {
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"encharge": [
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}
]
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"wireless_connection": [
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"type": "BLE",
"connected": true
}
]
}
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}
]
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},
"deviceCount": 2,
"deviceDataLimit": 50
}
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],
"storage": [
{
"type": "acb",
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}
]
}
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{
"wNow": 1169.938,
"whLifetime": 130643.441,
"varhLeadLifetime": 398.18,
"varhLagLifetime": 18422.28,
"vahLifetime": 150350.305,
"rmsCurrent": 5.048,
"rmsVoltage": 229.76,
"reactPwr": -6.075,
"apprntPwr": 1170.359,
"pwrFactor": 1.0,
"whToday": 4640.441,
"whLastSevenDays": 126158.441,
"vahToday": 5122.305,
"varhLeadToday": 19.18,
"varhLagToday": 451.28
},
{
"wNow": 1166.315,
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"varhLeadLifetime": 256.033,
"varhLagLifetime": 18503.976,
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"rmsCurrent": 5.09,
"rmsVoltage": 226.904,
"reactPwr": -3.654,
"apprntPwr": 1166.557,
"pwrFactor": 1.0,
"whToday": 4610.403,
"whLastSevenDays": 125419.403,
"vahToday": 4910.564,
"varhLeadToday": 12.033,
"varhLagToday": 456.976
}
]
}
],
"consumption": [
{
"type": "eim",
"activeCount": 1,
"measurementType": "total-consumption",
"readingTime": 1753703631,
"wNow": 324.922,
"whLifetime": 253002.232,
"varhLeadLifetime": 348504.505,
"varhLagLifetime": -103510.423,
"vahLifetime": 785760.378,
"rmsCurrent": 0.999,
"rmsVoltage": 694.597,
"reactPwr": -814.961,
"apprntPwr": 229.496,
"pwrFactor": 1.0,
"whToday": 8958.0,
"whLastSevenDays": 0.0,
"vahToday": 22634.378,
"varhLeadToday": 323620.505,
"varhLagToday": 0.0,
"lines": [
{
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"varhLeadLifetime": 192956.107,
"varhLagLifetime": -74353.869,
"vahLifetime": 391039.531,
"rmsCurrent": -0.015,
"rmsVoltage": 237.835,
"reactPwr": -427.819,
"apprntPwr": -3.635,
"pwrFactor": 1.0,
"whToday": 2334.813,
"whLastSevenDays": 6.813,
"vahToday": 11270.531,
"varhLeadToday": 4693.107,
"varhLagToday": 0.0
},
{
"wNow": 283.682,
"whLifetime": 143898.912,
"varhLeadLifetime": 101343.058,
"varhLagLifetime": -18375.429,
"vahLifetime": 202341.602,
"rmsCurrent": 1.033,
"rmsVoltage": 229.824,
"reactPwr": -281.655,
"apprntPwr": 237.474,
"pwrFactor": 1.0,
"whToday": 5158.912,
"whLastSevenDays": 42.912,
"vahToday": 5963.602,
"varhLeadToday": 2580.058,
"varhLagToday": 0.0
},
{
"wNow": 5.009,
"whLifetime": 36896.507,
"varhLeadLifetime": 54205.34,
"varhLagLifetime": -10781.125,
"vahLifetime": 192379.245,
"rmsCurrent": -0.019,
"rmsVoltage": 226.938,
"reactPwr": -105.486,
"apprntPwr": -4.342,
"pwrFactor": 1.0,
"whToday": 1515.507,
"whLastSevenDays": 1.507,
"vahToday": 5400.245,
"varhLeadToday": 1269.34,
"varhLagToday": 0.0
}
]
},
{
"type": "eim",
"activeCount": 1,
"measurementType": "net-consumption",
"readingTime": 1753703631,
"wNow": -4980.266,
"whLifetime": -315944.246,
"varhLeadLifetime": 349158.719,
"varhLagLifetime": 7774.145,
"vahLifetime": 785760.378,
"rmsCurrent": -21.388,
"rmsVoltage": 694.597,
"reactPwr": -881.503,
"apprntPwr": -4998.912,
"pwrFactor": -1.0,
"whToday": 0,
"whLastSevenDays": 0,
"vahToday": 0,
"varhLeadToday": 0,
"varhLagToday": 0,
"lines": [
{
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"whLifetime": -236343.094,
"varhLeadLifetime": 192956.108,
"varhLagLifetime": 4.443,
"vahLifetime": 391039.531,
"rmsCurrent": -12.263,
"rmsVoltage": 237.835,
"reactPwr": -504.09,
"apprntPwr": -2916.631,
"pwrFactor": -1.0,
"whToday": 0,
"whLastSevenDays": 0,
"vahToday": 0,
"varhLeadToday": 0,
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{
"wNow": -886.257,
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"varhLeadLifetime": 101741.238,
"varhLagLifetime": 46.852,
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"rmsCurrent": -4.015,
"rmsVoltage": 229.824,
"reactPwr": -275.58,
"apprntPwr": -922.725,
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"whLifetime": -92942.472,
"varhLeadLifetime": 54461.373,
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"storage": [
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pyenphase-pyenphase-901c49f/docs/known_issues.md 0000664 0000000 0000000 00000003355 15131663564 0022062 0 ustar 00root root 0000000 0000000 # Known Issues
Issues have been reported with data; these vary by firmware version. Newer firmware may resolve these or introduce new issues.
## Production & Consumption data
| data | envoy ` only (without calling [probe](usage_intro.md#probe) and [update](usage_intro.md#update)), which provides an API into the Envoy without using the internally pre-configured data collections.
## ClientResponse
{py:meth}`Envoy.request() ` returns an [aiohttp.ClientResponse](https://docs.aiohttp.org/en/stable/client_reference.html#aiohttp.ClientResponse) as the result. [^1]
[^1]: This is a breaking change from version 1 where an httpx.Response was returned.
To access the response data, use [aiohttp.ClientResponse.read()](https://docs.aiohttp.org/en/stable/client_reference.html#aiohttp.ClientResponse.read) for the raw bytes, [aiohttp.ClientResponse.text()](https://docs.aiohttp.org/en/stable/client_reference.html#aiohttp.ClientResponse.text) for a decoded `str`, or [aiohttp.ClientResponse.json()](https://docs.aiohttp.org/en/stable/client_reference.html#aiohttp.ClientResponse.json) for a parsed JSON object.
Note that `ClientResponse.json()` uses Python’s standard decoder `json.loads` by default. To use a different decoder, pass it via the `loads=` parameter, for example:
```python
import orjson
myjson_data = await myresponse.json(loads=orjson.loads)
```
pyenphase-pyenphase-901c49f/docs/updaters.md 0000664 0000000 0000000 00000006154 15131663564 0021162 0 ustar 00root root 0000000 0000000 # Updaters
## Introduction
Available data from the Envoy depends on the actual model, firmware, and installed components. The pyenphase library internally implements _Updaters_ to obtain the data. Each updater is specialized for one or more members of {py:class}`pyenphase.EnvoyData`, and its _Probe_ method is called by {py:meth}`pyenphase.Envoy.probe` to detect whether the Envoy offers a specific dataset. If supported, the method returns the relevant feature mask. If any features are returned, the updater’s update() method is then used by {py:meth}`pyenphase.Envoy.update` to collect the actual data.
The various datasets relate to one or more {py:class}`pyenphase.const.SupportedFeatures` feature flags. For example, the
{py:attr}`pyenphase.const.SupportedFeatures.PRODUCTION` supported feature flag relates to the
{py:class}`pyenphase.models.system_production.EnvoySystemProduction` data class which reports Solar production values. This flag can be set by either {py:class}`pyenphase.updaters.production.EnvoyProductionUpdater` or {py:class}`pyenphase.updaters.api_v1_production.EnvoyApiV1ProductionUpdater` updaters.
Multiple updaters may exist to provide data for a single dataset/feature. For example, Solar production data which is provided by all models may come from different sources. In the most basic Envoy model this data comes from a different endpoint compared to an Envoy equipped with Current Transformers. In both cases the updaters must be able to provide the same data for the {py:class}`pyenphase.models.system_production.EnvoySystemProduction` data class. This can be implemented in the same updater or in multiple updaters.
An updater is passed the previously identified features to its probe method. If its feature is already included in the passed list, the updater should back off and not report it again. As a result, only the first updater reporting the feature will be used for data collection.
An updater provides data for one or more features, typically (but not exclusively) sourced from a single endpoint on the Envoy. Multiple updaters may source from the same endpoint, as responses are locally cached during a single collection cycle to avoid duplicate requests.
Although each updater has its specific scope, some may need to share information with other updaters or make operational information available for common use in the {py:class}`pyenphase.envoy.Envoy` class. The probe methods can store this information in {py:class}`pyenphase.models.common.CommonProperties`. This information is reset by {py:meth}`pyenphase.models.common.CommonProperties.reset_probe_properties` at each probe start to avoid _sticking_ values.
The base class {py:class}`pyenphase.updaters.base.EnvoyUpdater` defines the abstract methods {py:meth}`pyenphase.updaters.base.EnvoyUpdater.probe` and {py:meth}`pyenphase.updaters.base.EnvoyUpdater.update`, which updaters must implement. Probe initializes the updater and is called during {py:meth}`pyenphase.Envoy.probe` (once per probe cycle); it must return a {py:class}`pyenphase.const.SupportedFeatures` mask indicating the data it can provide. Update is then invoked repeatedly to collect the data.
pyenphase-pyenphase-901c49f/docs/usage.md 0000664 0000000 0000000 00000001100 15131663564 0020421 0 ustar 00root root 0000000 0000000 # Usage
The pyenphase package provides the [Envoy class](#pyenphase.Envoy) to collect data from [Enphase IQ Gateway](https://enphase.com/en-us/products-and-services/envoy-and-combiner). To use this package, import classes and modules from it:
```python
from pyenphase import Envoy, EnvoyData
envoy: Envoy = Envoy(host)
await envoy.setup()
await envoy.authenticate(username=username, password=password, token=token)
data: EnvoyData = await envoy.update()
await envoy.close()
```
```{toctree}
:maxdepth: 3
:hidden:
usage_intro
usage_authentication
requests
advanced
```
pyenphase-pyenphase-901c49f/docs/usage_authentication.md 0000664 0000000 0000000 00000014666 15131663564 0023545 0 ustar 00root root 0000000 0000000 # Authentication
## Introduction
Before firmware 7, authentication was based on username/password using Digest. Either `Envoy` or `Installer` usernames with a blank password or a known username/password can be used. If the password is left blank, the authentication module will calculate the password for the 2 named accounts, based on the Envoy serial number.
As of firmware 7, token based authentication is required. The authentication module can retrieve the token from the Enlighten website using the Envoy serial number, the Enlighten username and password, which all need to be specified. If a token is known, it can be specified and it will be used instead of obtaining one from the Enlighten website. Even if a token is known, it's best practice to also specify username and password to enable automatic refresh of an expired token.
Based on the firmware version retrieved from the envoy in envoy.setup(), the [envoy.authenticate](#pyenphase.Envoy.authenticate) method will determine which of the 2 authentication methods to use.
This example will work with both firmware <7 and >=7. In the first case specify the local Envoy username `envoy`, in the latter case specify the Enlighten cloud credentials and the required token will be obtained from the Enlighten cloud.
```python
envoy = Envoy(host_ip_or_name)
await envoy.setup()
await envoy.authenticate(username=username, password=password)
```
For firmware >= 7 and a known token, specifying it will use it and skip reaching out to the Enlighten cloud.
```python
envoy = Envoy(host_ip_or_name)
await envoy.setup()
await envoy.authenticate(username=username, password=password, token=token)
```
## Obtain, reuse and renew token
Upon completion of the authentication, the token can be requested and stored for later reuse in authentication. At a next application startup, pass the stored token to envoy.authenticate, in addition to the username and password. Until the token is expired it can be used with each authenticate request. If the token is expired while using it in authentication, an exception [EnvoyAuthenticationError](#pyenphase.exceptions.EnvoyAuthenticationError) is returned. In that case redo the authentication without specifying a token to force getting a new one.
```python
from pyenphase import Envoy
from pyenphase.auth import EnvoyTokenAuth
token: str = "get token from some storage"
envoy = Envoy(host_ip_or_name)
await envoy.setup()
try:
await envoy.authenticate(username=username, password=password, token=token)
except EnvoyAuthenticationError as exp:
await envoy.authenticate(username=username, password=password)
```
The application should check for [token expiry](#pyenphase.auth.EnvoyTokenAuth.expire_timestamp) and request timely [renewal](#pyenphase.auth.EnvoyTokenAuth.refresh). Make sure to store a refreshed token again, access it using the [token property](#pyenphase.auth.EnvoyTokenAuth.token).
```python
from pyenphase import Envoy
from pyenphase.auth import EnvoyTokenAuth
token: str = "get token from some storage"
envoy = Envoy(host_ip_or_name)
await envoy.setup()
await envoy.authenticate(username=username, password=password, token=token)
assert isinstance(envoy.auth, EnvoyTokenAuth)
expire_time = envoy.auth.expire_timestamp
if expire_time < (datetime.now() - timedelta(days=7)):
await self.envoy.auth.refresh()
token = envoy.auth.token
# save token in some storage for later reuse
```
Enlighten user accounts can be type 'owner' or 'installer'. Token lifetime for an owner account is 1 year, while installer lifetime is 12 hours.
## Re-Authentication
When authentication is omitted or data requests experience an authorization failure (HTTP status 401 or 403) an [EnvoyAuthenticationRequired](#pyenphase.exceptions.EnvoyAuthenticationRequired) error is returned. When this occurs, authentication should be repeated.
```python
try:
data: EnvoyData = await envoy.update()
except EnvoyAuthenticationRequired:
await envoy.authenticate(username=username, password=password,token=token)
```
## Authentication over firmware update
A special case is the firmware update. These get pushed by Enphase, not frequently and not always at an expected moment. It will cause an outage of the Envoy during the patching process and an authentication error when communication is restored. Re-authentication as described above may work with existing token or it may fail and a new token would be needed. If the firmware upgrade changes from <7 to >=7, Enlighten credentials need to replace the local Envoy username/password.
Furthermore the firmware version has changed and it may have impact on behavior. The Firmware version is only obtained in the setup method of the Envoy, this needs a repeat as well in this case.
```python
from pyenphase import Envoy, EnvoyData
envoy = Envoy(host_ip_or_name)
await envoy.setup()
firmware=envoy.firmware
await envoy.authenticate(username=username, password=password, token=token)
while True:
try:
data: EnvoyData = await envoy.update()
except EnvoyAuthenticationRequired:
# is token expired. if so refresh
expire_time = envoy.auth.expire_timestamp
if expire_time < now.timestamp():
await self.envoy.auth.refresh()
else:
# potential outage, get firmware
await envoy.setup()
# if firmware changed on us force re-init of data updaters
if firmware != envoy.firmware:
# authenticate without token to get new one
await envoy.authenticate(username=username, password=password)
# re-init communication based on new firmware
envoy.probe()
```
## Authorization levels
Enphase accounts are either home-owner or DIY/installer accounts. The Home owner account provides access to the data information endpoints. The DIY/installer accounts have in addition access to configuration and setup endpoints as well [^2]. The authentication class provides the property `token_type` to determine the nature of the account. This returns `owner` or `installer` based on the token type.
```python
assert isinstance(envoy.auth, EnvoyTokenAuth)
token = envoy.auth.token
if envoy.auth.token_type == "user":
...
else:
...
```
[^2]: Data provided by pyenphase is only sourced from endpoints that allow access by at least Home owner accounts. The Envoy [Request method](#pyenphase.Envoy.request) allows access to [additional endpoints](./requests.md#requests), provided the user account has the required authorization level.
pyenphase-pyenphase-901c49f/docs/usage_intro.md 0000664 0000000 0000000 00000006452 15131663564 0021653 0 ustar 00root root 0000000 0000000 # Data collection
## Setup
Access to the Envoy device requires specifying its IP address or DNS name when constructing the {py:class}`pyenphase.Envoy`.
Next, the Envoy serial number and active firmware version should be obtained to identify which authentication method is required. Use {py:meth}`pyenphase.Envoy.setup`.
Once the firmware version is known, [authentication](./usage_authentication.md#authentication) can take place using the required parameters for the firmware. The {py:meth}`pyenphase.Envoy.authenticate` method requires a username, password, and, in some cases, a JWT token—[depending on the active firmware](./usage_authentication.md#authentication).
```python
from pyenphase import Envoy, EnvoyData
envoy = Envoy(host_ip_or_name)
await envoy.setup()
print(f'Envoy {envoy.host} running {envoy.firmware}, sn: {envoy.serial_number}')
await envoy.authenticate(username=username, password=password, token=token)
```
## Close
The Envoy class uses an [aiohttp client session](https://docs.aiohttp.org/en/stable/client_reference.html)
for HTTP communication. The caller can optionally specify a client session when constructing the {py:class}`pyenphase.Envoy`.
If no client session is specified, pyenphase will create one.
The client session created by pyenphase must be closed at application exit. Use {py:meth}`pyenphase.Envoy.close` to close the created session.
If you supplied your own aiohttp ClientSession, {py:meth}`pyenphase.Envoy.close` will not close it; you remain responsible for closing it.
```python
from pyenphase import Envoy, EnvoyData
envoy = Envoy(host_ip_or_name)
await envoy.setup()
print(f'Envoy {envoy.host} running {envoy.firmware}, sn: {envoy.serial_number}')
await envoy.authenticate(username=username, password=password, token=token)
data: EnvoyData = await envoy.update()
await envoy.close()
```
## Update
Upon authentication completion, data can be collected (repeatedly) using {py:meth}`pyenphase.Envoy.update`.
```python
while True:
data: EnvoyData = await envoy.update()
print(f'Watts: {data.system_production.watts_now}')
print(f'TodaysEnergy: {data.system_production.watt_hours_today}')
print(f'LifetimeEnergy: {data.system_production.watt_hours_lifetime}')
print(f'Last7DaysEnergy: {data.system_production.watt_hours_last_7_days}')
await asyncio.sleep(some_time)
```
For all available data refer to [Data](./data.md).
## Probe
When data is first collected, the update method will perform a probe of the Envoy to determine what data is actually available. This may vary by model or running firmware version. This probing also provides the data for various envoy properties.
If the need exists to inspect properties before first data collection, use the [probe method](#pyenphase.Envoy.probe).
```python
from pyenphase import Envoy, EnvoyData
envoy = Envoy(host_ip_or_name)
await envoy.setup()
print(f'Envoy {envoy.host} running {envoy.firmware}, sn: {envoy.serial_number}')
await envoy.authenticate(username=username, password=password, token=token)
await envoy.probe()
print(f'Phases: {envoy.phase_count}')
production_ct = 'installed' if envoy.production_meter_type else 'not installed'
consumption_ct = 'installed' if envoy.consumption_meter_type else 'not installed'
print(f'This envoy has Production CT {production_ct} and Consumption CT {consumption_ct}')
```
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[package.dependencies]
ifaddr = ">=0.1.7"
[metadata]
lock-version = "2.1"
python-versions = "^3.10"
content-hash = "aedbecdfdcdae7a8bf212fde32a4a27f50518f23a96fe6cfd4d81cef1bf09d65"
pyenphase-pyenphase-901c49f/pyproject.toml 0000664 0000000 0000000 00000011413 15131663564 0020767 0 ustar 00root root 0000000 0000000 [project]
name = "pyenphase"
version = "2.4.3"
description = "Library to control enphase envoy"
authors = [{ name = "pyenphase", email = "cgarwood@gmail.com" }]
license = "MIT"
readme = "README.md"
requires-python = ">=3.10"
dynamic = ["classifiers", "dependencies"]
[tool.poetry]
name = "pyenphase"
version = "2.4.3"
description = "Library to control enphase envoy"
authors = ["pyenphase "]
classifiers = [
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Natural Language :: English",
"Operating System :: OS Independent",
"Topic :: Software Development :: Libraries",
]
packages = [
{ include = "pyenphase", from = "src" },
]
[project.urls]
"Documentation" = "https://pyenphase.readthedocs.io"
"Repository" = "https://github.com/pyenphase/pyenphase"
"Bug Tracker" = "https://github.com/pyenphase/pyenphase/issues"
"Changelog" = "https://github.com/pyenphase/pyenphase/blob/main/CHANGELOG.md"
[tool.poetry.dependencies]
python = "^3.10"
aiohttp = ">=3.12.8"
lxml = ">=4.9.2"
pyjwt = ">=2.7.0"
awesomeversion = ">=22.9.0"
tenacity = ">=8.2.2,<10.0.0"
envoy-utils = ">=0.0.1"
orjson = ">=3.10"
[tool.poetry.group.dev.dependencies]
pytest = ">=7,<10"
pytest-cov = ">=5,<8"
types-orjson = "^3.6.2"
aioresponses = ">=0.7.6"
pytest-asyncio = ">=0.21.1,<1.4.0"
syrupy = ">=4.5,<6.0"
pytest-timeout = "^2.4.0"
python-jsonpath = "^2.0.1"
pre-commit = "^4.3.0"
[tool.poetry.group.docs]
optional = true
[tool.poetry.group.docs.dependencies]
myst-parser = ">=0.16"
sphinx = ">=4.0"
sphinx-rtd-theme = ">=1.0"
sphinx-autodoc-typehints = ">=1.25.2,<4.0.0"
[tool.semantic_release]
branch = "main"
version_toml = ["pyproject.toml:project.version", "pyproject.toml:tool.poetry.version"]
version_variables = ["src/pyenphase/__init__.py:__version__"]
build_command = "pip install poetry && poetry build"
[tool.semantic_release.changelog]
mode = "init"
[tool.pytest.ini_options]
addopts = "-v -Wdefault --cov=pyenphase --cov-report=term-missing:skip-covered --timeout=5"
pythonpath = ["src"]
timeout = 5
timeout_method = "thread"
[tool.coverage.run]
branch = true
[tool.coverage.report]
exclude_lines = [
"pragma: no cover",
"@overload",
"if TYPE_CHECKING",
"raise NotImplementedError",
'if __name__ == "__main__":',
]
[tool.ruff]
target-version = "py310"
line-length = 88
[tool.ruff.lint]
ignore = [
"S101", # use of assert
"D203", # 1 blank line required before class docstring
"D212", # Multi-line docstring summary should start at the first line
"D100", # Missing docstring in public module
"D101", # Missing docstring in public module
"D102", # Missing docstring in public method
"D103", # Missing docstring in public module
"D104", # Missing docstring in public package
"D105", # Missing docstring in magic method
"D107", # Missing docstring in `__init__`
"D400", # First line should end with a period
"D401", # First line of docstring should be in imperative mood
"D205", # 1 blank line required between summary line and description
"D415", # First line should end with a period, question mark, or exclamation point
"D417", # Missing argument descriptions in the docstring
"E501", # Line too long
"RUF012", # Mutable class attributes should be annotated with `typing.ClassVar`
"B008", # Do not perform function call
"S110", # `try`-`except`-`pass` detected, consider logging the exception
"D106", # Missing docstring in public nested class
"UP007", # typer needs Optional syntax
"UP038", # Use `X | Y` in `isinstance` is slower
"S603", # check for execution of untrusted input
"S105", # possible hard coded creds
]
select = [
"B", # flake8-bugbear
"D", # flake8-docstrings
"C4", # flake8-comprehensions
"S", # flake8-bandit
"F", # pyflake
"E", # pycodestyle
"W", # pycodestyle
"UP", # pyupgrade
"I", # isort
"RUF", # ruff specific
"SIM", # flake8-simplify
"PERF", # perflint
"FURB", # refurb
"RET", # flake8-return
]
[tool.ruff.lint.per-file-ignores]
"tests/**/*" = [
"D100",
"D101",
"D102",
"D103",
"D104",
"S101",
]
"setup.py" = ["D100"]
"conftest.py" = ["D100"]
"docs/conf.py" = ["D100"]
[tool.ruff.lint.isort]
known-first-party = ["pyenphase", "tests"]
[tool.mypy]
check_untyped_defs = true
disallow_any_generics = true
disallow_incomplete_defs = true
disallow_untyped_defs = true
mypy_path = "src/"
no_implicit_optional = true
show_error_codes = true
warn_unreachable = true
warn_unused_ignores = true
exclude = [
'docs/.*',
'setup.py',
]
[[tool.mypy.overrides]]
module = "tests.*"
allow_untyped_defs = true
[[tool.mypy.overrides]]
module = "docs.*"
ignore_errors = true
[build-system]
requires = ["poetry-core>=2.0.0"]
build-backend = "poetry.core.masonry.api"
pyenphase-pyenphase-901c49f/renovate.json 0000664 0000000 0000000 00000000101 15131663564 0020561 0 ustar 00root root 0000000 0000000 {
"extends": ["github>browniebroke/renovate-configs:python"]
}
pyenphase-pyenphase-901c49f/script/ 0000775 0000000 0000000 00000000000 15131663564 0017357 5 ustar 00root root 0000000 0000000 pyenphase-pyenphase-901c49f/script/setup 0000775 0000000 0000000 00000000201 15131663564 0020436 0 ustar 00root root 0000000 0000000 #!/bin/sh
set -e
# Install all dependencies:
pip3 install poetry
poetry install
# Install pre-commit hooks:
pre-commit install
pyenphase-pyenphase-901c49f/setup.py 0000664 0000000 0000000 00000000357 15131663564 0017572 0 ustar 00root root 0000000 0000000 #!/usr/bin/env python
# This is a shim to allow GitHub to detect the package, build is done with poetry
# Taken from https://github.com/Textualize/rich
import setuptools
if __name__ == "__main__":
setuptools.setup(name="pyenphase")
pyenphase-pyenphase-901c49f/src/ 0000775 0000000 0000000 00000000000 15131663564 0016642 5 ustar 00root root 0000000 0000000 pyenphase-pyenphase-901c49f/src/pyenphase/ 0000775 0000000 0000000 00000000000 15131663564 0020636 5 ustar 00root root 0000000 0000000 pyenphase-pyenphase-901c49f/src/pyenphase/__init__.py 0000664 0000000 0000000 00000003127 15131663564 0022752 0 ustar 00root root 0000000 0000000 """Python wrapper for Enphase Envoy API."""
from .auth import EnvoyTokenAuth
from .envoy import AUTH_TOKEN_MIN_VERSION, Envoy, register_updater
from .exceptions import (
EnvoyAuthenticationError,
EnvoyAuthenticationRequired,
EnvoyCommunicationError,
EnvoyError,
EnvoyFirmwareCheckError,
EnvoyFirmwareFatalCheckError,
EnvoyProbeFailed,
)
from .models.acb import EnvoyACBPower, EnvoyBatteryAggregate
from .models.c6combiner import EnvoyC6CC
from .models.collar import EnvoyCollar
from .models.dry_contacts import EnvoyDryContactSettings, EnvoyDryContactStatus
from .models.encharge import EnvoyEncharge, EnvoyEnchargeAggregate, EnvoyEnchargePower
from .models.enpower import EnvoyEnpower
from .models.envoy import EnvoyData
from .models.inverter import EnvoyInverter
from .models.system_consumption import EnvoySystemConsumption
from .models.system_production import EnvoySystemProduction
from .models.tariff import EnvoyTariff
__all__ = (
AUTH_TOKEN_MIN_VERSION,
"register_updater",
"Envoy",
"EnvoyData",
"EnvoyTokenAuth",
"EnvoyError",
"EnvoyCommunicationError",
"EnvoyFirmwareCheckError",
"EnvoyFirmwareFatalCheckError",
"EnvoyAuthenticationError",
"EnvoyAuthenticationRequired",
"EnvoyProbeFailed",
"EnvoyInverter",
"EnvoySystemConsumption",
"EnvoySystemProduction",
"EnvoyEncharge",
"EnvoyEnchargeAggregate",
"EnvoyEnchargePower",
"EnvoyEnpower",
"EnvoyACBPower",
"EnvoyBatteryAggregate",
"EnvoyDryContactSettings",
"EnvoyDryContactStatus",
"EnvoyCollar",
"EnvoyC6CC",
"EnvoyTariff",
)
pyenphase-pyenphase-901c49f/src/pyenphase/auth.py 0000664 0000000 0000000 00000036552 15131663564 0022164 0 ustar 00root root 0000000 0000000 """Envoy authentication methods."""
from abc import abstractmethod, abstractproperty
from typing import Any, cast
import aiohttp
import jwt
import orjson
from tenacity import retry, retry_if_exception_type, wait_random_exponential
from .const import LOCAL_TIMEOUT, URL_AUTH_CHECK_JWT
from .exceptions import EnvoyAuthenticationError, EnvoyAuthenticationRequired
from .ssl import SSL_CONTEXT
class EnvoyAuth:
"""Base class for local Envoy authentication."""
def __init__(self, host: str) -> None:
"""
Base class for local Envoy authentication.
:param host: local Envoy DNS name or IP Address
"""
@abstractmethod
async def setup(self, client: aiohttp.ClientSession) -> None:
"""
Setup token based authentication with the local Envoy.
Required for Envoy firmware >= 7.0
:param client: an aiohttp ClientSession to communicate with the local Envoy,
"""
@abstractproperty
def cookies(self) -> dict[str, str]:
"""Return the Envoy cookie."""
@abstractproperty
def auth(self) -> aiohttp.DigestAuthMiddleware | None:
"""
Setup Digest authentication for local Envoy.
Required for Envoy firmware < 7.0
"""
@abstractproperty
def headers(self) -> dict[str, str]:
"""Return the auth headers for Envoy communication."""
@abstractmethod
def get_endpoint_url(self, endpoint: str) -> str:
"""
Return the URL for the endpoint.
:param endpoint: Envoy Endpoint to access, start with leading /
:return: formatted full URL string
"""
class EnvoyTokenAuth(EnvoyAuth):
"""Class to authenticate with Envoy using Tokens."""
# autodoc docstring is supplied from __init__
JSON_LOGIN_URL = "https://enlighten.enphaseenergy.com/login/login.json?"
TOKEN_URL = "https://entrez.enphaseenergy.com/tokens" # nosec
def __init__(
self,
host: str,
cloud_username: str | None = None,
cloud_password: str | None = None,
envoy_serial: str | None = None,
token: str | None = None,
) -> None:
"""
Class to authenticate with Envoy using Tokens.
Use with Envoy firmware 7.x and newer
:param host: local Envoy DNS name or IP Address
:param cloud_username: Enligthen Cloud username, required to obtain new
token when token is not specified or expired, defaults to None
:param cloud_password: Enligthen Cloud password, required to obtain new
token when token is not specified or expired, defaults to None
:param envoy_serial: Envoy serial number, required to obtain new
token when token is not specified or expired, defaults to None
:param token: Token to use with authentication, if not specified,
one will be obtained from Enlighten cloud if username, password
and serial are specified, defaults to None
"""
self.host = host
self.cloud_username = cloud_username
self.cloud_password = cloud_password
self.envoy_serial = envoy_serial
self._token = token
self._is_consumer: bool = False
self._manager_token: str | None = None
self._cookies: dict[str, str] = {}
async def setup(self, client: aiohttp.ClientSession) -> None:
"""
Setup token based authentication with the local Envoy
If no token is specified, a token is obtained from Enlighten Cloud using
specified username, password and serialnumber. With the specified or obtained
token, validates the token with the local Envoy. New or updated token
can be accessed using the token property. Token is not stored persistent,
caller should store and specify token over restarts.
:param client: an aiohttp ClientSession to communicate with the local Envoy,
:raises EnvoyAuthenticationError: Authentication failed with the local Envoy
or no token could be obtained from Enlighten cloud due to error or
missing parameters,
"""
if not self._token:
self._token = await self._obtain_token()
# Verify we have adequate credentials
if not self._token:
raise EnvoyAuthenticationError(
"Unable to obtain token for Envoy authentication."
)
await self._check_jwt(client)
@retry(
retry=retry_if_exception_type(aiohttp.ClientError),
wait=wait_random_exponential(multiplier=2, max=3),
)
async def _check_jwt(self, client: aiohttp.ClientSession) -> None:
"""Check the JWT token for Envoy authentication."""
async with client.get(
f"https://{self.host}{URL_AUTH_CHECK_JWT}",
headers={"Authorization": f"Bearer {self.token}"},
timeout=LOCAL_TIMEOUT,
) as resp:
if resp.status == 200:
self._cookies = {k: v.value for k, v in resp.cookies.items()}
return
raise EnvoyAuthenticationError(
"Unable to verify token for Envoy authentication."
)
async def _obtain_token(self) -> str:
"""Obtain the token for Envoy authentication."""
# Raise if we don't have cloud credentials
if not self.cloud_username or not self.cloud_password:
raise EnvoyAuthenticationError(
"Your firmware requires token authentication, "
" but no cloud credentials were provided to obtain the token."
)
# Raise if we are missing the envoy serial number
if not self.envoy_serial:
raise EnvoyAuthenticationError(
"Your firmware requires token authentication, "
"but no envoy serial number was provided to obtain the token."
)
# We require a new client that checks SSL certs
timeout = aiohttp.ClientTimeout(total=10)
async with aiohttp.ClientSession(
connector=aiohttp.TCPConnector(ssl=SSL_CONTEXT), timeout=timeout
) as cloud_client:
# Login to Enlighten to obtain a session ID
response = await self._post_json_with_cloud_client(
cloud_client,
self.JSON_LOGIN_URL,
data={
"user[email]": self.cloud_username,
"user[password]": self.cloud_password,
},
)
if response.status != 200:
text = await response.text()
raise EnvoyAuthenticationError(
"Unable to login to Enlighten to obtain session ID from "
f"{self.JSON_LOGIN_URL}: "
f"{response.status}: {text}"
)
try:
response_json = orjson.loads(await response.text())
except orjson.JSONDecodeError as err:
text = await response.text()
raise EnvoyAuthenticationError(
"Unable to decode response from Enlighten: "
f"{response.status}: {text}"
) from err
self._is_consumer = response_json.get("is_consumer", False)
self._manager_token = response_json.get("manager_token")
# Obtain the token
response = await self._post_json_with_cloud_client(
cloud_client,
self.TOKEN_URL,
json={
"session_id": response_json["session_id"],
"serial_num": self.envoy_serial,
"username": self.cloud_username,
},
)
if response.status != 200:
text = await response.text()
raise EnvoyAuthenticationError(
"Unable to obtain token for Envoy authentication from "
f"{self.TOKEN_URL}: "
f"{response.status}: {text}"
)
return await response.text()
async def refresh(self) -> None:
"""
Refresh the token for Envoy authentication.
Retrieves a new token from the Enlighten cloud using
specified username, password and Envoy serial number of
the class object. Updated token can be accessed
using the token property. Token is not stored persistent,
caller should store it after refresh and specify token
over restarts.
"""
self._token = await self._obtain_token()
@property
def expire_timestamp(self) -> int:
"""
Return the expiration time for the token.
Owner useraccount type tokens are valid for a year
while installer tokens are only valid for 12 hours.
:return: epoch expiration time
"""
jwt_payload = jwt.decode(self.token, options={"verify_signature": False})
return cast(int, jwt_payload["exp"])
@property
def token_type(self) -> str:
"""
Return the enphase user type for the token.
Enlighten user accounts can be type 'owner' or 'installer'. Both
have access to the envoy base data. Installer has access to more
data and configuration setup.
:raises: EnvoyAuthenticationRequired if no prior authentication was done
:return: 'owner' or 'installer'
"""
if not self._token:
raise EnvoyAuthenticationRequired(
"You must authenticate to the Envoy before inspecting token."
)
jwt_payload = jwt.decode(self.token, options={"verify_signature": False})
return jwt_payload["enphaseUser"]
@retry(
retry=retry_if_exception_type(aiohttp.ClientError),
wait=wait_random_exponential(multiplier=2, max=3),
)
async def _post_json_with_cloud_client(
self,
cloud_client: aiohttp.ClientSession,
url: str,
data: dict[str, Any] | None = None,
json: dict[str, Any] | None = None,
) -> aiohttp.ClientResponse:
"""Post to the Envoy API with the cloud client."""
return await cloud_client.post(url, json=json, data=data)
@property
def token(self) -> str:
"""
Return token used with the Envoy.
Returns the current token, either the original specified token,
or the token obtained from the Enlighten cloud if not specified
or the refreshed token at expiration.
Will assert if no token was ever specified or obtained.
:return: jwt token string
"""
assert self._token is not None # nosec
return self._token
@property
def manager_token(self) -> str:
"""
Return manager token returned in enligthen login json.
This property is only available if a token has been requested
from the Enlighten cloud. This is only the case if no token
was specified, or a token refresh was requested. If a valid
token with a future expiration time was specified this method
will return an empty string.
:return: token string
"""
return self._manager_token if self._manager_token is not None else ""
@property
def cookies(self) -> dict[str, str]:
"""
Return cookies returned during setup of the envoy.
Cookies received from the local Envoy during setup and local
jwt check are stored in the class, this method returns these.
:return: cookies dict
"""
return self._cookies
@property
def is_consumer(self) -> bool:
"""
Return is_consumer state returned in enligthen login json
This property is only available if a token has been requested
from the Enlighten cloud. This is only the case if no token
was specified, or a token refresh was requested. If a valid
token with a future expiration time was specified no login was
attempted and this method will return the default false.
If an installer account was used it will return false as well.
:return: true if enlighten login was performed and
used credentials are for consumer account, otherwise false
"""
return self._is_consumer
@property
def auth(self) -> None:
"""
Digest authentication for local Envoy.
Not used with token authentication. Placeholder
for EnvoyAuth abstractproperty
:return: None
"""
return None
@property
def headers(self) -> dict[str, str]:
"""
Return the authentication headers for Envoy communication.
Token authorization with Envoy requires an Authorization header
in Bearer format with token.
:return: token authorization header
"""
return {"Authorization": f"Bearer {self.token}"}
def get_endpoint_url(self, endpoint: str) -> str:
"""
Return the URL for the endpoint.
:param endpoint: Envoy Endpoint to access, start with leading /
:return: formatted https URL string
"""
return f"https://{self.host}{endpoint}"
class EnvoyLegacyAuth(EnvoyAuth):
"""Class to authenticate with legacy Envoy using digest."""
def __init__(self, host: str, username: str, password: str) -> None:
"""
Class to authenticate with legacy Envoy using digest.
Use with Envoy firmware before 7.0
:param host: local Envoy DNS name or IP Address
:param local_username: Username to access Envoy
:param local_password: Password to access Envoy
"""
self.host = host
self.local_username = username
self.local_password = password
self._auth_middleware: aiohttp.DigestAuthMiddleware | None = None
@property
def auth(self) -> aiohttp.DigestAuthMiddleware | None:
"""
Digest authentication for local Envoy.
Creates DigestAuthMiddleware based on username and password.
:return: DigestAuthMiddleware for local Envoy or None
if username and/or password are not specified
"""
if not self.local_username or not self.local_password:
return None
if self._auth_middleware is None:
self._auth_middleware = aiohttp.DigestAuthMiddleware(
self.local_username, self.local_password
)
return self._auth_middleware
async def setup(self, client: aiohttp.ClientSession) -> None:
"""
Setup authentication with the local Envoy
DigestAuth does not use additional setup,
placeholder for EnvoyAuth abstractpropery.
:param client: ClientSession to communicate with local Envoy
"""
# No setup required for legacy authentication
@property
def headers(self) -> dict[str, str]:
"""
Return the headers needed for Envoy authentication.
DigestAuth does not use authorization header. Placeholder
for EnvoyAuth abstractproperty.
:return: empty dict
"""
return {}
def get_endpoint_url(self, endpoint: str) -> str:
"""
Return the URL for the endpoint.
:param endpoint: Envoy Endpoint to access, start with leading /
:return: formatted http URL string
"""
return f"http://{self.host}{endpoint}"
@property
def cookies(self) -> dict[str, str]:
"""
Return cookies returned during setup of the envoy.
DigestAuth does not use cookies. Placeholder
for EnvoyAuth abstractproperty.
:return: empty dict
"""
return {}
pyenphase-pyenphase-901c49f/src/pyenphase/const.py 0000664 0000000 0000000 00000010324 15131663564 0022336 0 ustar 00root root 0000000 0000000 """pyenphase constant definitions"""
import enum
import aiohttp
from awesomeversion import AwesomeVersion
# Versions
LEGACY_ENVOY_VERSION = AwesomeVersion("3.9.0")
ENSEMBLE_MIN_VERSION = AwesomeVersion("5.0.0")
AUTH_TOKEN_MIN_VERSION = AwesomeVersion("7.0.0")
METERED_NOCT_FALLBACK_TO_INVERTERS = AwesomeVersion("8.2.4264")
# Include in docs from here
# System Production
URL_PRODUCTION_INVERTERS = "/api/v1/production/inverters"
URL_DEVICE_DATA = "/ivp/pdm/device_data"
URL_PRODUCTION_V1 = "/api/v1/production"
URL_PRODUCTION_JSON = "/production.json?details=1"
URL_PRODUCTION = "/production"
# Authentication
URL_AUTH_CHECK_JWT = "/auth/check_jwt"
# Battery and Enpower Status
URL_DRY_CONTACT_STATUS = "/ivp/ensemble/dry_contacts"
URL_DRY_CONTACT_SETTINGS = "/ivp/ss/dry_contact_settings"
URL_ENSEMBLE_INVENTORY = "/ivp/ensemble/inventory"
URL_ENSEMBLE_STATUS = "/ivp/ensemble/status"
URL_ENSEMBLE_SECCTRL = "/ivp/ensemble/secctrl"
URL_ENCHARGE_BATTERY = "/ivp/ensemble/power"
URL_GRID_RELAY = "/ivp/ensemble/relay"
URL_POWER_EXPORT = "/uvp/ss/pel_settings"
URL_TARIFF = "/admin/lib/tariff"
# Generator Configuration
URL_GEN_CONFIG = "/ivp/ss/gen_config"
URL_GEN_MODE = "/ivp/ss/gen_mode"
URL_GEN_SCHEDULE = "/ivp/ss/gen_schedule"
# Meters data
ENDPOINT_URL_METERS = "/ivp/meters"
ENDPOINT_URL_METERS_READINGS = "/ivp/meters/readings"
# Interface configuration
ENDPOINT_URL_HOME = "/home"
# Include in docs to here
LOCAL_TIMEOUT = aiohttp.ClientTimeout(
# The envoy can be slow to respond but fast to connect to we
# need to set a long timeout for the read and a short timeout
# for the connect
total=45.0,
connect=10.0,
sock_read=45.0,
)
# Requests should no longer retry after max delay (sec) or times since first try
MAX_REQUEST_DELAY = 120 #: no more request retries after this elapsed time
MAX_PROBE_REQUEST_DELAY = 50 #: no more probe request retries after this elapsed time
MAX_REQUEST_ATTEMPTS = 4 #: maximum retry attempts
class SupportedFeatures(enum.IntFlag):
"""
Features available from Envoy
Each supported feature maps to a specific data set or information
that can be provided by an Envoy. Depending on actual make, firmware
and installed components an Envoy may provide 1 or more features.
All Envoy should at least report solar production, marked as PRODUCTION.
Class :any:`EnvoyUpdater` updaters will set these features flags
during the :any:`Envoy.probe` phase. During data collection by
:any:`Envoy.update` each updater with set features will be used to
collect the specific data.
.. code-block:: python
from pyenphase.const import SupportedFeatures
# set METERING flag
features |= SupportedFeatures.METERING
# test features
if features.PRODUCTION in supported_features:
pass
if features & SupportedFeatures.DUALPHASE:
pass
"""
INVERTERS = 1 #: Envoy reports solar panel inverters
METERING = 2 #: Envoy reports active production meter
TOTAL_CONSUMPTION = 4 #: Envoy reports total consumption
NET_CONSUMPTION = 8 #: Envoy reports net consumption
ENCHARGE = 16 #: Envoy reports encharge data
ENPOWER = 32 #: Envoy reports Enpower data
PRODUCTION = 64 #: Envoy reports solar production data
TARIFF = 128 #: Envoy reports tariff information
DUALPHASE = 256 #: Envoy metered is configured in split phase mode
THREEPHASE = 512 #: Envoy metered is configured in three phase mode
CTMETERS = 1024 #: Envoy has enabled CT meter(s)
GENERATOR = 2048 #: Envoy reports generator data
ACB = 4096 #: Envoy reports ACB Battery data
DETAILED_INVERTERS = 8192 #: Detailed inverter data is reported
COLLAR = 0x4000 #: Envoy reports a Collar
C6CC = 0x8000 #: Envoy reports a C6 Combiner controller
class PhaseNames(enum.StrEnum):
"""Electricity grid phase names."""
PHASE_1 = "L1" #: first phase (1, A, ..)
PHASE_2 = "L2" #: second phase (2, B, ..)
PHASE_3 = "L3" #: third phase (3, C, ..)
#: list to access :any:`PhaseNames` by numerical index.
#:
#: .. code-block:: python
#:
#: phase_count = 2
#: for phase in range(phase_count):
#: print(production[PHASENAMES[phase]])
#:
PHASENAMES: list[str] = list(PhaseNames)
pyenphase-pyenphase-901c49f/src/pyenphase/envoy.py 0000664 0000000 0000000 00000126757 15131663564 0022372 0 ustar 00root root 0000000 0000000 """Enphase Envoy class"""
import asyncio
import logging
import time
from collections.abc import Awaitable, Callable
from dataclasses import replace
from functools import cached_property, partial
from http import HTTPStatus
from typing import TYPE_CHECKING, Any, overload
import aiohttp
import orjson
from awesomeversion import AwesomeVersion
from envoy_utils.envoy_utils import EnvoyUtils
from tenacity import (
retry,
retry_if_exception_type,
stop_after_attempt,
stop_after_delay,
wait_random_exponential,
)
from pyenphase.models.dry_contacts import DryContactStatus
from pyenphase.models.home import EnvoyInterfaceInformation
from .auth import (
EnvoyAuth,
EnvoyLegacyAuth,
EnvoyTokenAuth,
)
from .const import (
AUTH_TOKEN_MIN_VERSION,
ENDPOINT_URL_HOME,
LOCAL_TIMEOUT,
MAX_PROBE_REQUEST_DELAY,
MAX_REQUEST_ATTEMPTS,
MAX_REQUEST_DELAY,
URL_DRY_CONTACT_SETTINGS,
URL_DRY_CONTACT_STATUS,
URL_GRID_RELAY,
URL_TARIFF,
SupportedFeatures,
)
from .exceptions import (
EnvoyAuthenticationRequired,
EnvoyCommunicationError,
EnvoyError,
EnvoyFeatureNotAvailable,
EnvoyHTTPStatusError,
EnvoyPoorDataQuality,
EnvoyProbeFailed,
)
from .firmware import EnvoyFirmware
from .json import json_loads
from .models.common import CommonProperties
from .models.envoy import EnvoyData
from .models.meters import CtType, EnvoyPhaseMode
from .models.tariff import EnvoyStorageMode
from .ssl import NO_VERIFY_SSL_CONTEXT
from .updaters.api_v1_production import EnvoyApiV1ProductionUpdater
from .updaters.api_v1_production_inverters import EnvoyApiV1ProductionInvertersUpdater
from .updaters.base import EnvoyUpdater
from .updaters.device_data_inverters import EnvoyDeviceDataInvertersUpdater
from .updaters.ensemble import EnvoyEnembleUpdater
from .updaters.generator import EnvoyGeneratorUpdater
from .updaters.meters import EnvoyMetersUpdater
from .updaters.production import (
EnvoyProductionJsonFallbackUpdater,
EnvoyProductionJsonUpdater,
EnvoyProductionUpdater,
)
from .updaters.tariff import EnvoyTariffUpdater
_LOGGER = logging.getLogger(__name__)
DEFAULT_HEADERS = {
"Accept": "application/json",
}
UPDATERS: list[type["EnvoyUpdater"]] = [
EnvoyMetersUpdater,
EnvoyProductionJsonUpdater,
EnvoyProductionUpdater,
EnvoyApiV1ProductionUpdater,
EnvoyProductionJsonFallbackUpdater,
EnvoyDeviceDataInvertersUpdater,
EnvoyApiV1ProductionInvertersUpdater,
EnvoyEnembleUpdater,
EnvoyTariffUpdater,
EnvoyGeneratorUpdater,
] #: Ordered list of standard updaters for Envoy data collection
def register_updater(updater: type[EnvoyUpdater]) -> Callable[[], None]:
"""
Register an updater in the updaters list.
Registers a callable updater at the end of the updaters list. Probe
method of the registered updater will be called during Envoy.probe().
Use the returned callable to remove the registered updater again.
After registering or removing an updater, use Envoy.probe() to make
the change effective.
:param updater: callable of (sub-) class EnvoyUpdater
:return: callable to remove the updater from the registration list
"""
UPDATERS.append(updater)
def _remove_updater() -> None:
"""Callable to remove a prior registered updater."""
UPDATERS.remove(updater)
return _remove_updater
def get_updaters() -> list[type[EnvoyUpdater]]:
"""
Return list of registered updaters.
Returns current list of registered updaters. Changes
to the list will not be in effect until
Envoy.probe() is used.
:return: list of callable updaters
"""
return UPDATERS
class Envoy:
"""Class for communicating with an envoy."""
def __init__(
self,
host: str,
client: aiohttp.ClientSession | None = None,
timeout: float | aiohttp.ClientTimeout | None = None,
) -> None:
"""
Class for communicating with an envoy.
Collects solar production data for all Envoy models as of
firmware 3.9. Depending on model and installed components
can collect power/energy consumption, battery charge,
discharge and settings. Supports communication with both
pre- and post V7 Envoy firmware.
.. code-block:: python
envoy = Envoy(host_ip_or_name)
await envoy.setup()
await envoy.authenticate(
username=username,
password=password,
token=token
)
await envoy.update()
# ...
await envoy.close()
:param host: Envoy DNS name or IP address
:param client: aiohttp ClientSession not verifying SSL
certificates, if not specified one will be created. In
that case call :py:meth:`Envoy.close` before application
exit.
:param timeout: aiohttp ClientTimeout to use, if not specified
10 sec connection and 45 sec read timeouts will be used.
"""
# We use our own aiohttp client session so we can disable SSL verification (Envoys use self-signed SSL certs)
self._timeout = timeout or LOCAL_TIMEOUT
connector = aiohttp.TCPConnector(ssl=NO_VERIFY_SSL_CONTEXT)
self._client = client or aiohttp.ClientSession(connector=connector) # nosec
self._user_client = client is not None
self.auth: EnvoyAuth | None = None
self._host = host
self._firmware = EnvoyFirmware(self._client, self._host)
self._supported_features: SupportedFeatures | None = None
self._updaters: list[EnvoyUpdater] = []
self._endpoint_cache: dict[str, aiohttp.ClientResponse] = {}
self.data: EnvoyData | None = None
self._common_properties: CommonProperties = CommonProperties()
self._interface_settings: EnvoyInterfaceInformation | None = None
async def setup(self) -> None:
"""
Initiate Envoy communication by obtaining firmware version.
Read /info on Envoy, accessible without authentication.
Instantiates EnvoyFirmware class object. Required to
decide what authentication to use for sub-sequent Envoy
communication. Use this method as first step after class instantiation
Will retry up to :any:`MAX_REQUEST_ATTEMPTS` times or
:any:`MAX_PROBE_REQUEST_DELAY` elapsed at next try, which
ever comes first.
:raises EnvoyFirmwareFatalCheckError: if connection or timeout
failure occurs
:raises EnvoyFirmwareCheckError: on http errors or any HTTP
status other then 200
"""
await self._firmware.setup()
# force refetch of interface data next time requested
self._interface_settings = None
async def close(self) -> None:
"""
Close or clean anything opened or created on behalf of the caller.
Should be called when ending application, if:
- no aiohttp ClientSession was specified for the Envoy:
- the pyenphase-created ClientSession will be closed.
- an aiohttp ClientSession was provided by the caller:
- Envoy will not close the provided session; the caller remains responsible.
:return: None
"""
if not self._user_client and not self._client.closed:
await self._client.close()
async def authenticate(
self,
username: str | None = None,
password: str | None = None,
token: str | None = None,
) -> None:
"""
Authenticate to the Envoy based on firmware version.
If firmware version retrieved in Envoy.setup is < 7 then create DigestAuth using
passed username and password. Use 'envoy' or 'installer' username and blank password.
If Firmware is >= 7 create JWT Token based authorization. If token is passed, use
it for authorization. If no token is passed, username and password should be
Enlighten Cloud credentials to obtain a token. Validate the token with the local Envoy.
:param username: Enligthen Cloud username or local Envoy username, defaults to None
:param password: Enligthen Cloud password or local Envoy password, defaults to None
:param token: Token to use with authentication, defaults to None
:raises EnvoyAuthenticationRequired: Authentication failed with the local Envoy,
provided token is expired or no token could be obtained from Enlighten cloud
due to error or missing parameters.
"""
if self._firmware.version < AUTH_TOKEN_MIN_VERSION:
# Envoy firmware using old envoy/installer authentication
_LOGGER.debug(
"FW: %s, Authenticating to Envoy using envoy/installer authentication",
self._firmware.version,
)
full_serial = self._firmware.serial
if not username or username == "installer":
username = "installer"
password = EnvoyUtils.get_password(full_serial, username)
elif username == "envoy" and not password:
# The default password for the envoy user is the last 6 digits of the serial number
assert full_serial is not None, "Serial must be set" # nosec
password = full_serial[-6:]
if username and password:
self.auth = EnvoyLegacyAuth(self.host, username, password)
else:
# Envoy firmware using new token authentication
_LOGGER.debug(
"FW: %s, Authenticating to Envoy using token authentication",
self._firmware.version,
)
if token or (username and password):
# Always pass all the data to the token auth class, even if some of it is None
# so that we can refresh the token if needed
self.auth = EnvoyTokenAuth(
self.host,
cloud_username=username,
cloud_password=password,
envoy_serial=self._firmware.serial,
token=token,
)
if not self.auth:
_LOGGER.error(
"You must include username/password or token to authenticate to the Envoy."
)
raise EnvoyAuthenticationRequired("Could not setup authentication object.")
await self.auth.setup(self._client)
@retry(
retry=retry_if_exception_type(
(
aiohttp.ClientError,
asyncio.TimeoutError,
)
),
wait=wait_random_exponential(multiplier=2, max=5),
stop=stop_after_delay(MAX_PROBE_REQUEST_DELAY)
| stop_after_attempt(MAX_REQUEST_ATTEMPTS),
reraise=True,
)
async def probe_request(self, endpoint: str) -> aiohttp.ClientResponse:
"""
Make a probe request to the Envoy.
Probe requests are intended for use by updates during initial
search of available features in the Envoy. They are not retried
on connection errors, timeouts or bad JSON responses.
For regular data retrieval, use the request method.
Sends GET request to endpoint on Envoy and returns the response.
Probe retries on client connection issues or timeouts.
Will retry up to :any:`MAX_REQUEST_ATTEMPTS` times
or :any:`MAX_PROBE_REQUEST_DELAY` sec elapsed at next try,
which ever comes first.
:param endpoint: Envoy Endpoint to access, start with leading /.
:raises EnvoyAuthenticationRequired: if no prior authentication
was completed or HTTP status 401 or 404 is returned.
:return: request response.
"""
return await self._request(endpoint)
@retry(
retry=retry_if_exception_type(
(
aiohttp.ClientError,
asyncio.TimeoutError,
)
),
wait=wait_random_exponential(multiplier=2, max=5),
stop=stop_after_delay(MAX_REQUEST_DELAY)
| stop_after_attempt(MAX_REQUEST_ATTEMPTS),
reraise=True,
)
async def request(
self,
endpoint: str,
data: dict[str, Any] | None = None,
method: str | None = None,
) -> aiohttp.ClientResponse:
"""
Make a request to the Envoy.
Send GET or POST request to Envoy. Defaults to GET, specify
data dictionary to perform a POST. Only specify the endpoint
path in the Envoy, HTTP type and Envoy address is prepended
to form full URL based on authentication method.
Request retries on client connection issues or timeouts.
Will retry up to :any:`MAX_REQUEST_ATTEMPTS` times or
:any:`MAX_REQUEST_DELAY` sec elapsed at next try, which
ever comes first.
:param endpoint: Envoy Endpoint to access, start with leading /
:param data: optional data dictionary to send to the Envoy
Defaults to none, if none a GET request is issued.
:param method: HTTP method to use when sending data dictionary,
if none and data is specified POST is default
:raises EnvoyAuthenticationRequired: if no prior authentication
was completed or HTTP status 401 or 404 is returned.
:raises: Any communication errors when retries are exceeded
:return: request response.
"""
return await self._request(endpoint, data, method)
async def _request(
self,
endpoint: str,
data: dict[str, Any] | None = None,
method: str | None = None,
) -> aiohttp.ClientResponse:
"""
Make a request to the Envoy.
If data is specified use POST or specified method to
send data dictionary as json string to the endpoint.
If no data is specified use GET request. Return the response.
:param endpoint: Envoy Endpoint to access, start with leading /
:param data: data dictionary to send to the Envoy, defaults to None
:param method: method to use to send data dictionary,
POST if none, only used for data send
:raises EnvoyAuthenticationRequired: if no prior authentication
was completed or HTTP status 401 or 404 is returned
:return: request response
"""
if self.auth is None:
raise EnvoyAuthenticationRequired(
"You must authenticate to the Envoy before making requests."
)
url = self.auth.get_endpoint_url(endpoint)
debugon = _LOGGER.isEnabledFor(logging.DEBUG)
if debugon:
request_start = time.monotonic()
# Set up middleware from auth
middlewares = (self.auth.auth,) if self.auth.auth else None
# not using redirects to avoid following 301s to error pages on missing
# end points and lots of extra requests
if data:
if debugon:
_LOGGER.debug(
"Sending %s to %s with data %s",
method if method else "POST",
url,
orjson.dumps(data),
)
response = await self._client.request(
method if method else "POST",
url,
headers={**DEFAULT_HEADERS, **self.auth.headers},
timeout=self._timeout,
data=orjson.dumps(data),
middlewares=middlewares,
allow_redirects=False,
)
else:
_LOGGER.debug("Requesting %s with timeout %s", url, self._timeout)
response = await self._client.get(
url,
headers={**DEFAULT_HEADERS, **self.auth.headers},
timeout=self._timeout,
middlewares=middlewares,
allow_redirects=False,
)
status_code = response.status
if status_code in (HTTPStatus.UNAUTHORIZED, HTTPStatus.FORBIDDEN):
content = await response.read()
_LOGGER.debug(
"Authentication failed for %s with status %s: %s",
url,
status_code,
content[:500] if content else "No content",
)
raise EnvoyAuthenticationRequired(
f"Authentication failed for {url} with status {status_code}, "
"please check your username/password or token."
)
# show all responses centrally when in debug
if debugon:
request_end = time.monotonic()
content_type = response.headers.get("content-type")
_LOGGER.debug(
"Request reply in %s sec from %s status %s: %s %s",
round(request_end - request_start, 1),
url,
status_code,
content_type,
await response.read(), # Use the actual content bytes
)
return response
async def interface_settings(self) -> EnvoyInterfaceInformation | None:
"""
Returns Envoy active interface information.
Returned data includes interface mac, interface type, software
build date, configured timezone and DHCP settings
This data is sourced from the /home endpoint which is a slower
responding endpoint with some potential overhead on the Envoy.
For this reason, as well as the fact that the data is static,
it will only be fetched one time when called first time and
cached internally. Subsequent calls will be fulfilled from the cache.
A call to envoy.setup() will invalidate the cached data and
result in a one-time read from Envoy upon next call.
:return: Interface details or None if error
"""
if not self._interface_settings:
try:
home_json = await self._json_request(
end_point=ENDPOINT_URL_HOME, data=None
)
self._interface_settings = EnvoyInterfaceInformation.from_api(home_json)
except EnvoyError as exc:
_LOGGER.debug("Failure getting interface information %s", exc)
return self._interface_settings
@property
def host(self) -> str:
"""Return the Envoy host specified at initialization."""
return self._host
@property
def firmware(self) -> AwesomeVersion:
"""Return the Envoy firmware version as read from the Envoy."""
return self._firmware.version
@property
def part_number(self) -> str | None:
"""Return the Envoy part number as read from the Envoy."""
return self._firmware.part_number
@property
def serial_number(self) -> str | None:
"""Return the Envoy serial number as read from the Envoy."""
return self._firmware.serial
@property
def is_metered(self) -> bool:
"""Return the Envoy imetered info as read from the Envoy."""
return self._firmware.is_metered
@property
def supported_features(self) -> SupportedFeatures:
"""Return the mask of Envoy supported features as established during Probe."""
assert self._supported_features is not None, "Call setup() first" # nosec
return self._supported_features
@property
def phase_count(self) -> int:
"""Return the number of configured phases for CT meters as read from the Envoy."""
assert self._common_properties is not None, "Call setup() first" # nosec
return self._common_properties.phase_count
@property
def active_phase_count(self) -> int:
"""Return the number of actual reported phases in Envoy production/consumption report."""
assert self._common_properties is not None, "Call setup() first" # nosec
return self._common_properties.active_phase_count
@property
def ct_meter_count(self) -> int:
"""Return the number of configured current transformers (CT) as read from the Envoy"""
assert self._common_properties is not None, "Call setup() first" # nosec
return self._common_properties.ct_meter_count
@overload
def _meter_type(self, *types: CtType) -> CtType | None: ...
@overload
def _meter_type(self, *types: str) -> str | None: ...
def _meter_type(self, *types: CtType | str) -> CtType | str | None:
"""Return if ct meter type is installed."""
assert self._common_properties is not None, "Call setup() first" # nosec
if not self._common_properties.meter_types:
return None
for type in types:
if type in self._common_properties.meter_types:
return type
return None
@property
def consumption_meter_type(self) -> CtType | None:
"""
Return the type of consumption ct meter installed (total
or net-consumption or None) as read from the Envoy.
"""
return self._meter_type(CtType.NET_CONSUMPTION, CtType.TOTAL_CONSUMPTION)
@property
def production_meter_type(self) -> CtType | None:
"""
Return the type of production ct meter installed
(Production or None) as read from the Envoy.
"""
return self._meter_type(CtType.PRODUCTION)
@property
def storage_meter_type(self) -> CtType | None:
"""Return the type of storage ct meter installed (Storage or None) as read from the Envoy."""
return self._meter_type(CtType.STORAGE)
@overload
def meter_type(self, meter_type: CtType) -> CtType | None: ...
@overload
def meter_type(self, meter_type: str) -> str | None: ...
def meter_type(self, meter_type: CtType | str) -> CtType | str | None:
"""Return the type of ct meter installed as read from the Envoy."""
return self._meter_type(meter_type)
@property
def ct_meter_list(self) -> list[CtType | str]:
"""Return the list of configured current transformers (CT) as read from the Envoy"""
assert self._common_properties is not None, "Call setup() first" # nosec
return self._common_properties.meter_types
@property
def phase_mode(self) -> EnvoyPhaseMode | None:
"""Return the phase mode configured for the CT meters (single, split or three) as read from the Envoy."""
assert self._common_properties is not None, "Call setup() first" # nosec
return self._common_properties.phase_mode
@property
def acb_count(self) -> int:
"""Return the number of reported ACB batteries in Production storage report section."""
assert self._common_properties is not None, "Call setup() first" # nosec
return self._common_properties.acb_batteries_reported
@cached_property
def envoy_model(self) -> str:
"""
Return Envoy model description.
Describes the Envoy model based on properties found.
- if 2 or more phases found or at least 1 ct is found:
- - phase count
- - phase mode
- if CT found, type of CTs
Example: "Envoy, phases: 2, phase mode: split, net-consumption CT, production CT"
:return: String describing the Envoy model and features.
"""
model = "Envoy"
# if CT and more then 1 phase add phase count to model
ct_count = self.ct_meter_count
phase_count = self.phase_count
if phase_count > 1 or ct_count > 0:
model = f"{model}, phases: {phase_count}"
# Add phase mode to model
phase_mode = self.phase_mode
model = f"{model}, phase mode: {phase_mode}"
for ct_type in self.ct_meter_list:
model = f"{model}, {ct_type} CT"
return model
async def _make_cached_request(
self,
request_func: Callable[[str], Awaitable[aiohttp.ClientResponse]],
endpoint: str,
) -> aiohttp.ClientResponse:
"""Make a cached request."""
if cached_response := self._endpoint_cache.get(endpoint):
return cached_response
response = await request_func(endpoint)
if response.status == 200:
self._endpoint_cache[endpoint] = response
return response
async def probe(self) -> None:
"""
Probe for Envoy model and supported features.
For each updater in the list of updaters returned by get_updaters,
execute the probe() method. Build and store a list of updaters to use,
containing updaters for which the probe() method does return at least 1
supported feature. Store the map of all returned supported features.
An updaters probe method should determine if the data for the specific
updater scope is available or not. If so, the updaters update() method will
be used during data collection.
Probe should be used only once, after setup and authorization at the start of
the communication. The update() method will call probe if not done prior.
:raises EnvoyProbeFailed: if no solar production data can be found on the Envoy.
Solar production data is available in all Envoy models.
"""
supported_features = SupportedFeatures(0)
updaters: list[EnvoyUpdater] = []
version = self._firmware.version
metered = self.is_metered
self._endpoint_cache.clear()
cached_probe = partial(self._make_cached_request, self.probe_request)
cached_request = partial(self._make_cached_request, self.request)
self._common_properties.reset_probe_properties(is_metered=metered)
for updater in get_updaters():
klass = updater(
version, cached_probe, cached_request, self._common_properties
)
if updater_features := await klass.probe(supported_features):
supported_features |= updater_features
updaters.append(klass)
if not supported_features & SupportedFeatures.PRODUCTION:
raise EnvoyProbeFailed("Unable to determine production endpoint")
self._updaters = updaters
self._supported_features = supported_features
def _validate_update(self, data: EnvoyData) -> None:
"""
Perform some overall validation checks and raise for issues.
Envoy data returned can be impacted by the state of the Envoy. This
validates searches for known cases and rules the data as invalid.
INtention is to avoid false data reported and have it rather signalled
as poor quality.
- Envoy firmware v3 starts communicating before all data is established
and sends zero values for solar production during first minutes
after startup. Signal poor data quality as long as all values are 0.
:param data: Envoy data
:raises EnvoyPoorDataQuality: data was deemed invalid based on specific quality tests
"""
if self._firmware.version.major == "3" and data.system_production:
# FW R3.x will return status 200 with all zeros right after startup
# where never versions return status 503 to signal not ready yet
# raise error to avoid inserting zero's in historical series.
production = data.system_production
if (
production.watts_now
+ production.watt_hours_today
+ production.watt_hours_last_7_days
+ production.watt_hours_lifetime
) == 0:
raise EnvoyPoorDataQuality(
"Data rejected on rule: "
f"FW 3.x production all zero at startup ({self._firmware.version})."
)
async def update(self) -> EnvoyData:
"""
Read data from Envoy.
For each updater in the list of established updaters during probe(),
execute the update() method to collect current data from the Envoy.
If probe was never executed, use probe method first.
An updaters update() method should obtain the data for the specific
updater scope and save to the Envoy data set.
:raises EnvoyCommunicationError: when aiohttp network or communication error occurs.
:raises EnvoyHTTPStatusError: when HTTP status is not 2xx.
:return: Collected Envoy data
"""
# Some of the updaters user the same endpoint
# so we cache the 200 responses for each update
# cycle to not make duplicate requests
self._endpoint_cache.clear()
if not self._supported_features:
await self.probe()
data = EnvoyData()
for updater in self._updaters:
try:
await updater.update(data)
except aiohttp.ClientError as err: # noqa: PERF203
raise EnvoyCommunicationError(f"aiohttp ClientError {err!s}") from err
except asyncio.TimeoutError as err:
raise EnvoyCommunicationError(f"Timeout {err!s}") from err
self._validate_update(data)
self.data = data
return data
async def _json_request(
self, end_point: str, data: dict[str, Any] | None, method: str | None = None
) -> Any:
"""
Make a request to the Envoy and return the JSON response.
Uses _request() to obtain response and returns response content
as formatted JSON.
:param endpoint: Envoy Endpoint to access, start with leading /
:param data: data dictionary to send to the Envoy, defaults to None
:param method: method to use to send data dictionary,
POST if none, only used for data send
:raises EnvoyCommunicationError: when aiohttp network or communication error occurs.
:raises EnvoyHTTPStatusError: when HTTP status is not 2xx.
:return: response content as JSON
"""
try:
response = await self._request(end_point, data, method)
except aiohttp.ClientError as err:
_LOGGER.debug("Request to %s failed with ClientError: %s", end_point, err)
raise EnvoyCommunicationError(f"aiohttp ClientError {err!s}") from err
except asyncio.TimeoutError as err:
_LOGGER.debug("Request to %s timed out: %s", end_point, err)
raise EnvoyCommunicationError(f"Timeout {err!s}") from err
if not (200 <= response.status < 300):
content = await response.read()
_LOGGER.debug(
"Request to %s failed with status %s: %s",
end_point,
response.status,
content[:500] if content else "No content",
)
raise EnvoyHTTPStatusError(response.status, str(response.url))
return json_loads(end_point, await response.read())
async def go_on_grid(self) -> dict[str, Any]:
"""
Make a request to the Envoy to go on grid.
POST {"mains_admin_state": "closed"} to /ivp/ensemble/relay directing
to connect to the grid. Requires ENPOWER installed.
:raises EnvoyFeatureNotAvailable: If ENPOWER feature is not available in Envoy
:raises EnvoyCommunicationError: when aiohttp network or communication error occurs.
:raises EnvoyHTTPStatusError: when HTTP status is not 2xx.
:return: JSON returned by Envoy
"""
if not self.supported_features & SupportedFeatures.ENPOWER:
raise EnvoyFeatureNotAvailable(
"This feature is not available on this Envoy."
)
return await self._json_request(URL_GRID_RELAY, {"mains_admin_state": "closed"})
async def go_off_grid(self) -> dict[str, Any]:
"""
Make a request to the Envoy to go off grid.
POST {"mains_admin_state": "open"} to /ivp/ensemble/relay directing
to disconnect from the grid. Requires ENPOWER installed.
:raises EnvoyFeatureNotAvailable: If ENPOWER feature is not available in Envoy
:raises EnvoyCommunicationError: when aiohttp network or communication error occurs.
:raises EnvoyHTTPStatusError: when HTTP status is not 2xx.
:return: JSON returned by Envoy
"""
if not self.supported_features & SupportedFeatures.ENPOWER:
raise EnvoyFeatureNotAvailable(
"This feature is not available on this Envoy."
)
return await self._json_request(URL_GRID_RELAY, {"mains_admin_state": "open"})
async def update_dry_contact(self, new_data: dict[str, Any]) -> dict[str, Any]:
"""
Update settings for an Enpower dry contact relay.
POST updated dry contact settings to /ivp/ss/dry_contact_settings
in the Envoy. New_data dict can contain one or more of below items
to set. The key/value for "id" is required to identify the relay.
Only include key/values to change.
.. code-block:: json
{
"id": "",
"grid_action": "value",
"micro_grid_action": "value",
"gen_action": "value",
"override": "value",
"load_name": "value",
"mode": "value",
"soc_low": "value",
"soc_high": "value",
},
Settings specified in the data dict are updated in the
internally stored dry_contact_settings and send as a whole
to update the Envoy.
:param new_data: dict of settings to change, "id" key/value required
:raises EnvoyFeatureNotAvailable: If ENPOWER feature is not available in Envoy
:raises EnvoyCommunicationError: when aiohttp network or communication error occurs.
:raises EnvoyHTTPStatusError: when HTTP status is not 2xx.
:raises ValueError: If update was attempted before first data was requested from Envoy
:raises ValueError: If no "id" key is present in data dict to send.
:return: dry_contact_settings JSON returned by Envoy
"""
# All settings for the relay must be sent in the POST or it may crash the Envoy
if not self.supported_features & SupportedFeatures.ENPOWER:
raise EnvoyFeatureNotAvailable(
"This feature is not available on this Envoy."
)
if not (id_ := new_data.get("id")):
raise ValueError("You must specify the dry contact ID in the data object.")
# Get the current settings for the relay from EnvoyData and merge with the new settings
if not (current_data := self.data):
raise ValueError(
"Tried to set dry contact settings before the Envoy was queried."
)
current_model = current_data.dry_contact_settings[id_]
new_model = replace(current_model, **new_data)
return await self._json_request(
URL_DRY_CONTACT_SETTINGS, {"dry_contacts": new_model.to_api()}
)
async def open_dry_contact(self, id: str) -> dict[str, Any]:
"""
Open a dry contact relay.
POST {"dry_contacts": {"id": id, "status": "open"}} to Envoy to
open dry contact with specified id. Upon successful POST,
update dry contact status in internal data as Envoy needs some time
to implement the change and have status updated.
:param id: relay id of dry contact relay to open
:raises EnvoyFeatureNotAvailable: If ENPOWER feature is not available in Envoy
:raises EnvoyCommunicationError: when aiohttp network or communication error occurs.
:raises EnvoyHTTPStatusError: when HTTP status is not 2xx.
:return: JSON response of Envoy
"""
if not self.supported_features & SupportedFeatures.ENPOWER:
raise EnvoyFeatureNotAvailable(
"This feature is not available on this Envoy."
)
result = await self._json_request(
URL_DRY_CONTACT_STATUS, {"dry_contacts": {"id": id, "status": "open"}}
)
# The Envoy takes a few seconds before it will reflect the new state of the relay
# so we preemptively update it
if TYPE_CHECKING:
assert self.data is not None # nosec
self.data.dry_contact_status[id].status = DryContactStatus.OPEN
return result
async def close_dry_contact(self, id: str) -> dict[str, Any]:
"""
Close a dry contact relay.
POST {"dry_contacts": {"id": id, "status": "closed"}} to Envoy to
close dry contact with specified id. Upon successful POST,
update dry contact status in internal data as Envoy needs some time
to implement the change and have status updated.
:param id: relay id of dry contact relay to open
:raises EnvoyFeatureNotAvailable: If ENPOWER feature is not available in Envoy
:raises EnvoyCommunicationError: when aiohttp network or communication error occurs.
:raises EnvoyHTTPStatusError: when HTTP status is not 2xx.
:return: JSON response of Envoy
"""
if not self.supported_features & SupportedFeatures.ENPOWER:
raise EnvoyFeatureNotAvailable(
"This feature is not available on this Envoy."
)
result = await self._json_request(
URL_DRY_CONTACT_STATUS, {"dry_contacts": {"id": id, "status": "closed"}}
)
# The Envoy takes a few seconds before it will reflect the new state of the relay
# so we preemptively update it
if TYPE_CHECKING:
assert self.data is not None # nosec
self.data.dry_contact_status[id].status = DryContactStatus.CLOSED
return result
async def enable_charge_from_grid(self) -> dict[str, Any]:
"""
Enable charge from grid for Encharge batteries.
Set charge_from_grid true in internal stored
tariff data and send updated tariff data to Envoy using PUT.
This will update the charge from grid setting to true
in the Envoy.
:raises EnvoyFeatureNotAvailable: If no Encharge or IQ batteries are available
:raises EnvoyFeatureNotAvailable: If no TARIFF data is available in Envoy
:raises EnvoyCommunicationError: when aiohttp network or communication error occurs.
:raises EnvoyHTTPStatusError: when HTTP status is not 2xx.
:raises ValueError: If update was attempted before first data was requested from Envoy
:return: JSON response of Envoy
"""
self._verify_tariff_storage_or_raise()
if TYPE_CHECKING:
assert self.data is not None # nosec
assert self.data.tariff is not None # nosec
assert self.data.tariff.storage_settings is not None # nosec
self.data.tariff.storage_settings.charge_from_grid = True
return await self._json_request(
URL_TARIFF, {"tariff": self.data.tariff.to_api()}, method="PUT"
)
async def disable_charge_from_grid(self) -> dict[str, Any]:
"""
Disable charge from grid for Encharge batteries.
Set charge_from_grid false in internal stored
tariff data and send updated tariff data to Envoy using PUT.
This will update the charge from grid setting to false
in the Envoy.
:raises EnvoyFeatureNotAvailable: If no Encharge or IQ batteries are available
:raises EnvoyFeatureNotAvailable: If no TARIFF data is available in Envoy
:raises EnvoyCommunicationError: when aiohttp network or communication error occurs.
:raises EnvoyHTTPStatusError: when HTTP status is not 2xx.
:raises ValueError: If update was attempted before first data was requested from Envoy
:return: JSON response of Envoy
"""
self._verify_tariff_storage_or_raise()
if TYPE_CHECKING:
assert self.data is not None # nosec
assert self.data.tariff is not None # nosec
assert self.data.tariff.storage_settings is not None # nosec
self.data.tariff.storage_settings.charge_from_grid = False
return await self._json_request(
URL_TARIFF, {"tariff": self.data.tariff.to_api()}, method="PUT"
)
async def set_storage_mode(self, mode: EnvoyStorageMode) -> dict[str, Any]:
"""
Set the Encharge storage mode.
Set storage_mode in internal stored tariff data to specified
mode and send updated tariff data to /admin/lib/tariff in Envoy
using PUT. This will update the storage mode setting
in the Envoy.
:param mode: storage mode to set
:raises EnvoyFeatureNotAvailable: If no Encharge or IQ batteries are available
:raises EnvoyFeatureNotAvailable: If no TARIFF data is available in Envoy
:raises EnvoyCommunicationError: when aiohttp network or communication error occurs.
:raises EnvoyHTTPStatusError: when HTTP status is not 2xx.
:raises ValueError: If update was attempted before first data was requested from Envoy
:return: JSON response of Envoy
"""
self._verify_tariff_storage_or_raise()
if TYPE_CHECKING:
assert self.data is not None # nosec
assert self.data.tariff is not None # nosec
assert self.data.tariff.storage_settings is not None # nosec
if type(mode) is not EnvoyStorageMode:
raise TypeError("Mode must be of type EnvoyStorageMode")
self.data.tariff.storage_settings.mode = mode
return await self._json_request(
URL_TARIFF, {"tariff": self.data.tariff.to_api()}, method="PUT"
)
async def set_reserve_soc(self, value: int) -> dict[str, Any]:
"""
Set the Encharge reserve state of charge.
Set reserved_soc in internal stored tariff data to specified
value and send updated tariff data to /admin/lib/tariff in Envoy
using PUT. This will update the reserve soc setting
in the Envoy.
:param value: reserve soc to set
:raises EnvoyFeatureNotAvailable: If no Encharge or IQ batteries are available
:raises EnvoyFeatureNotAvailable: If no TARIFF data is available in Envoy
:raises EnvoyCommunicationError: when aiohttp network or communication error occurs.
:raises EnvoyHTTPStatusError: when HTTP status is not 2xx.
:raises ValueError: If update was attempted before first data was requested from Envoy
:return: JSON response of Envoy
"""
self._verify_tariff_storage_or_raise()
if TYPE_CHECKING:
assert self.data is not None # nosec
assert self.data.tariff is not None # nosec
assert self.data.tariff.storage_settings is not None # nosec
self.data.tariff.storage_settings.reserved_soc = round(float(value), 1)
return await self._json_request(
URL_TARIFF, {"tariff": self.data.tariff.to_api()}, method="PUT"
)
def _verify_tariff_storage_or_raise(self) -> None:
"""
Verify Encharge or IQ batteries and tariff data are available in Envoy
:raises EnvoyFeatureNotAvailable: If no Encharge or IQ batteries are available
:raises EnvoyFeatureNotAvailable: If no TARIFF data is available in Envoy
:raises ValueError: If update was attempted before first data was requested from Envoy
"""
if not self.supported_features & SupportedFeatures.ENCHARGE:
raise EnvoyFeatureNotAvailable(
"This feature requires Enphase Encharge or IQ Batteries."
)
if not self.supported_features & SupportedFeatures.TARIFF:
raise EnvoyFeatureNotAvailable(
"This feature is not available on this Envoy."
)
if not self.data:
raise ValueError("Tried access envoy data before Envoy was queried.")
if TYPE_CHECKING:
assert self.data is not None # nosec
if not self.data.tariff:
raise ValueError(
"Tried to configure charge from grid before the Envoy was queried."
)
if TYPE_CHECKING:
assert self.data.tariff is not None # nosec
if not self.data.tariff.storage_settings:
raise EnvoyFeatureNotAvailable(
"This feature requires Enphase Encharge or IQ Batteries."
)
pyenphase-pyenphase-901c49f/src/pyenphase/exceptions.py 0000664 0000000 0000000 00000006323 15131663564 0023375 0 ustar 00root root 0000000 0000000 """Enphase Envoy exceptions."""
import json
import aiohttp
class EnvoyError(Exception):
"""Base class for Envoy exceptions."""
class EnvoyFirmwareCheckError(EnvoyError):
"""
Exception raised when unable to query the Envoy firmware version.
- http error when sending request to Envoy
- Any http status code other then 200 received
:param status_code: http status code
:param status: Error status description
"""
def __init__(self, status_code: int, status: str) -> None:
self.status_code = status_code
self.status = status
class EnvoyFirmwareFatalCheckError(EnvoyError):
"""
Exception raised when we should not retry getting the Envoy firmware version.
- aiohttp timeout or connection error when sending request to Envoy
:param status_code: http status code
:param status: Error status description
"""
def __init__(self, status_code: int, status: str) -> None:
self.status_code = status_code
self.status = status
class EnvoyAuthenticationError(EnvoyError):
"""
Exception raised when Envoy Authentication fails.
- When a jwt token authentication failure occurs with the local Envoy.
- When using token authentication and no cloud credentials or envoy serial are specified
- When a failure occurs during obtaining a token from the Enlighten cloud
:param status: Error status description
"""
def __init__(self, status: str) -> None:
self.status = status
class EnvoyAuthenticationRequired(EnvoyError):
"""
Exception raised when authentication hasn't been setup.
- When communication with Envoy was attempted without setting up authentication.
- When neither token nor username and/or password are specified during authentication.
:param status: Error status description
"""
def __init__(self, status: str) -> None:
self.status = status
class EnvoyHTTPStatusError(EnvoyError):
"""
Exception raised when unable to query the Envoy.
- HTTP Status of request not in 200 range.
:param status_code: http status code
:param status: Error status description
:param url: failing url
"""
def __init__(self, status_code: int, url: str) -> None:
self.status_code = status_code
self.url = url
super().__init__(f"HTTP status error {url} {status_code}")
class EnvoyProbeFailed(EnvoyError):
"""Exception raised when the Envoy probe fails."""
class EnvoyCommunicationError(EnvoyError):
"""
Exception raised when the Envoy communication fails.
- aiohttp.ClientError error occurs.
- asyncio.TimeoutError error occurs
"""
class EnvoyFeatureNotAvailable(EnvoyError):
"""
Exception raised when the Envoy feature is not available.
- When using go on/off grid and ENPOWER feature is not available in Envoy
"""
class EnvoyPoorDataQuality(EnvoyError):
"""
Exception raised when data identifies known issues.
- FW 3.x production values all zero at startup
:param status: Error status description
"""
def __init__(self, status: str) -> None:
self.status = status
ENDPOINT_PROBE_EXCEPTIONS = (
json.JSONDecodeError,
aiohttp.ClientError,
EnvoyHTTPStatusError,
)
pyenphase-pyenphase-901c49f/src/pyenphase/firmware.py 0000664 0000000 0000000 00000016074 15131663564 0023034 0 ustar 00root root 0000000 0000000 """Envoy Firmware detection"""
import asyncio
import logging
import time
import aiohttp
from awesomeversion import AwesomeVersion
from lxml import etree # nosec
from tenacity import (
retry,
retry_if_exception_type,
stop_after_attempt,
stop_after_delay,
wait_random_exponential,
)
from .const import LOCAL_TIMEOUT, MAX_PROBE_REQUEST_DELAY, MAX_REQUEST_ATTEMPTS
from .exceptions import EnvoyFirmwareCheckError, EnvoyFirmwareFatalCheckError
_LOGGER = logging.getLogger(__name__)
class EnvoyFirmware:
"""Class for querying and determining the Envoy firmware version."""
__slots__ = (
"_client",
"_firmware_version",
"_host",
"_metered",
"_part_number",
"_serial_number",
"_url",
)
def __init__(
self,
_client: aiohttp.ClientSession,
host: str,
) -> None:
"""
Class for querying and determining the Envoy firmware version.
:param client: aiohttp ClientSession not verifying SSL
certificates, see :class:`pyenphase.ssl`.
:param host: Envoy DNS name or IP address
"""
self._client = _client
self._host = host
self._firmware_version: str | None = None
self._serial_number: str | None = None
self._part_number: str | None = None
self._url: str = ""
self._metered: bool = False
@retry(
retry=retry_if_exception_type(aiohttp.ClientError),
wait=wait_random_exponential(multiplier=2, max=5),
stop=stop_after_delay(MAX_PROBE_REQUEST_DELAY)
| stop_after_attempt(MAX_REQUEST_ATTEMPTS),
reraise=True,
)
async def _get_info(self) -> tuple[int, bytes]:
"""
Perform GET request to /info endpoint on envoy.
Try GET request to https:///info to read info endpoint.
If connection error or timeout, retry on http:///info.
Will retry up to :any:`MAX_REQUEST_ATTEMPTS` times
or :any:`MAX_PROBE_REQUEST_DELAY` elapsed at next try, which
ever comes first on network or remote protocol errors.
HTTP status is not verified.
:return: tuple of (status_code, content)
"""
self._url = f"https://{self._host}/info"
_LOGGER.debug("Requesting %s with timeout %s", self._url, LOCAL_TIMEOUT)
try:
resp = await self._client.get(self._url, timeout=LOCAL_TIMEOUT)
return resp.status, await resp.read()
except (aiohttp.ClientConnectorError, asyncio.TimeoutError):
# Firmware < 7.0.0 does not support HTTPS so we need to try HTTP
# as a fallback, worse sometimes http will redirect to https://localhost
# which is not helpful
self._url = f"http://{self._host}/info"
_LOGGER.debug("Retrying to %s with timeout %s", self._url, LOCAL_TIMEOUT)
resp = await self._client.get(self._url, timeout=LOCAL_TIMEOUT)
return resp.status, await resp.read()
async def setup(self) -> None:
"""
Obtain the firmware version, serial-number and part-number from Envoy.
Read /info on Envoy, accessible without authentication.
Store firmware version, serial-number and part-number properties
from xml response.
Reads first on HTTPS, if that fails on HTTP for firmware < 7.
Will retry up to :any:`MAX_REQUEST_ATTEMPTS` times
or :any:`MAX_PROBE_REQUEST_DELAY` elapsed at next try, which
ever comes first on network or remote protocol errors.
.. code-block:: python
connector = aiohttp.TCPConnector(ssl=create_no_verify_ssl_context())
client = aiohttp.ClientSession(connector=connector)
firmware = EnvoyFirmware(client,host)
await firmware.setup()
print(firmware.version)
:raises EnvoyFirmwareFatalCheckError: if connection or timeout
failure occurs
:raises EnvoyFirmwareCheckError: on http errors or any HTTP
status other then 200
"""
# /info will return XML with the firmware version
debugon = _LOGGER.isEnabledFor(logging.DEBUG)
if debugon:
request_start = time.monotonic()
try:
status_code, content = await self._get_info()
except asyncio.TimeoutError as ex:
raise EnvoyFirmwareFatalCheckError(
500, "Timeout connecting to Envoy"
) from ex
except aiohttp.ClientConnectorError as ex:
raise EnvoyFirmwareFatalCheckError(
500, "Unable to connect to Envoy"
) from ex
except aiohttp.ClientError as ex:
raise EnvoyFirmwareCheckError(
500, "Unable to query firmware version"
) from ex
if status_code == 200:
if debugon:
request_end = time.monotonic()
_LOGGER.debug(
"Request reply in %s sec from %s status %s: %s",
round(request_end - request_start, 1),
self._url,
status_code,
content,
)
xml = etree.fromstring(content) # nosec
if (device_tag := xml.find("device")) is not None:
if (software_tag := device_tag.find("software")) is not None:
self._firmware_version = AwesomeVersion(
software_tag.text[1:]
) # need to strip off the leading 'R' or 'D'
if (sn_tag := device_tag.find("sn")) is not None:
self._serial_number = sn_tag.text
if (pn_tag := device_tag.find("pn")) is not None:
self._part_number = pn_tag.text
if (imeter_tag := device_tag.find("imeter")) is not None:
self._metered = imeter_tag.text == "true"
return
else:
# If we get a different status code, raise an exception
raise EnvoyFirmwareCheckError(status_code, content.decode())
@property
def version(self) -> AwesomeVersion:
"""
Return firmware version as read from Envoy.
:return: Envoy firmware version or None if
:class:`pyenphase.firmware.EnvoyFirmware.setup` was not used
"""
return self._firmware_version
@property
def serial(self) -> str | None:
"""
Return serial number as read from Envoy.
:return: Envoy serial number or None if
:class:`pyenphase.firmware.EnvoyFirmware.setup` was not used
"""
return self._serial_number
@property
def part_number(self) -> str | None:
"""
Return part number as read from Envoy.
:return: Envoy part number or None if
:class:`pyenphase.firmware.EnvoyFirmware.setup` was not used
"""
return self._part_number
@property
def is_metered(self) -> bool:
"""
Return imetered setting as read from Envoy.
:return: Envoy info imetered setting. Only True if read and set in info
"""
return self._metered
pyenphase-pyenphase-901c49f/src/pyenphase/json.py 0000664 0000000 0000000 00000001470 15131663564 0022163 0 ustar 00root root 0000000 0000000 """JSON utilities for pyenphase."""
import logging
from typing import Any
import orjson
_LOGGER = logging.getLogger(__name__)
def json_loads(end_point: str, json_source: bytes | str) -> Any:
"""
Deserialize a JSON string into a Python object
:param end_point: source for json, used for debug log, typically endpoint on Envoy.
:param json_source: json string, typically from request response content to Envoy.
:return: deserialized JSON
"""
try:
return orjson.loads(json_source)
except orjson.JSONDecodeError as e:
_LOGGER.debug(
"Unable to decode response from Envoy endpoint %s: %s\nResponse content: %s",
end_point,
e,
json_source[:500] if isinstance(json_source, (bytes, str)) else json_source,
)
raise
pyenphase-pyenphase-901c49f/src/pyenphase/models/ 0000775 0000000 0000000 00000000000 15131663564 0022121 5 ustar 00root root 0000000 0000000 pyenphase-pyenphase-901c49f/src/pyenphase/models/__init__.py 0000664 0000000 0000000 00000000000 15131663564 0024220 0 ustar 00root root 0000000 0000000 pyenphase-pyenphase-901c49f/src/pyenphase/models/acb.py 0000664 0000000 0000000 00000006534 15131663564 0023230 0 ustar 00root root 0000000 0000000 """Model for the ACB Battery."""
# Data Source: URL_ENSEMBLE_SECCTRL (primary) & URL_PRODUCTION_JSON
from __future__ import annotations
from dataclasses import dataclass
from typing import Any
@dataclass(slots=True)
class EnvoyBatteryAggregate:
"""Model for combined Encharge and ACB batteries aggregate data."""
#: Sum of Encharge aggregate and ACB aggregate current battery energy content
#: from ENC_agg_avail_energy and ACB_agg_energy.
available_energy: int
#: Combined State of charge for all Encharge and ACB batteries from agg_soc.
state_of_charge: int
#: Combined total maximum capacity for all Encharge and ACB batteries from Max_energy.
max_available_capacity: int
@classmethod
def from_api(cls, data: dict[str, Any]) -> EnvoyBatteryAggregate:
"""
Fill Aggregated battery data from Envoy data format.
Source data parts of URL_ENSEMBLE_SECCTRL
.. code-block:: json
{
"agg_soc": 39,
"Max_energy": 7220,
"ENC_agg_avail_energy": 350,
"Enc_max_available_capacity": 3500,
"ACB_agg_soc": 25,
"ACB_agg_energy": 930,
}
Args:
data (dict[str, Any]): JSON returned from URL_ENSEMBLE_SECCTRL
Returns:
EnvoyBatteryAggregate: Aggregated Battery data for all Encharge and ACB batteries
"""
return cls(
available_energy=data["ENC_agg_avail_energy"] + data["ACB_agg_energy"],
max_available_capacity=data["Max_energy"],
state_of_charge=data["agg_soc"],
)
@dataclass(slots=True)
class EnvoyACBPower:
"""Model for the ACB battery power."""
#: Current discharge/charge power for ACB batteries from wNow.
power: int
#: Current available capacity in Wh for ACB batteries from whNow
charge_wh: int
#: Current SOC in percentage for ACB batteries from percentFull
state_of_charge: int
#: Current state for ACB batteries (discharging/idle/charging) from state
state: str
#: Number of reported ACB batteries from activeCount
batteries: int
@classmethod
def from_production(
cls, data: dict[str, Any], acb_segment: int = 0
) -> EnvoyACBPower:
"""
Fill ACB battery power data from Envoy data format.
Source data URL_PRODUCTION_JSON["storage"]
.. code-block:: json
"storage": [{
"type": "acb",
"activeCount": 3,
"readingTime": 1731943992,
"wNow": 260,
"whNow": 930,
"state": "discharging",
"percentFull": 25
}]
Args:
data (dict[str, Any]): JSON returned from URL_PRODUCTION_JSON
acb_segment (int): segment to process from storage list, default is 0
Returns:
EnvoyACBPower: ACB battery current power out/in and energy content and status
"""
storage_data = data["storage"][acb_segment]
return cls(
power=storage_data["wNow"],
charge_wh=storage_data["whNow"],
state_of_charge=storage_data["percentFull"],
state=storage_data["state"],
batteries=storage_data["activeCount"],
)
pyenphase-pyenphase-901c49f/src/pyenphase/models/c6combiner.py 0000664 0000000 0000000 00000003243 15131663564 0024524 0 ustar 00root root 0000000 0000000 """Model for the Enphase C6 Combiner."""
# Data Source: URL_ENSEMBLE_INVENTORY
from __future__ import annotations
from dataclasses import dataclass
from typing import Any
# Required keys for C6 Combiner Controller inventories
C6CC_REQUIRED_KEYS: frozenset[str] = frozenset(
{
"admin_state",
"admin_state_str",
"communicating",
"img_load_date",
"installed",
"last_rpt_date",
"part_num",
"serial_num",
"dmir_version",
"fw_version",
}
)
@dataclass(slots=True)
class EnvoyC6CC:
"""Model for the Enphase C6 Combiner."""
admin_state: int
admin_state_str: str
firmware_loaded_date: int
firmware_version: str
installed_date: int
last_report_date: int
communicating: bool
part_number: str
serial_number: str
dmir_version: str
@classmethod
def from_api(cls, inventory: dict[str, Any]) -> EnvoyC6CC | None:
"""Initialize from the API. Returns None if required keys are missing."""
missing_keys = C6CC_REQUIRED_KEYS - set(inventory)
if missing_keys:
return None
return cls(
admin_state=inventory["admin_state"],
admin_state_str=inventory["admin_state_str"],
communicating=inventory["communicating"],
firmware_loaded_date=inventory["img_load_date"],
firmware_version=inventory["fw_version"],
installed_date=inventory["installed"],
last_report_date=inventory["last_rpt_date"],
part_number=inventory["part_num"],
serial_number=inventory["serial_num"],
dmir_version=inventory["dmir_version"],
)
pyenphase-pyenphase-901c49f/src/pyenphase/models/collar.py 0000664 0000000 0000000 00000004140 15131663564 0023746 0 ustar 00root root 0000000 0000000 """Model for the IQ Meter Collar."""
# Data Source: URL_ENSEMBLE_INVENTORY
from __future__ import annotations
from dataclasses import dataclass
from typing import Any
# Required keys for IQ Meter Collar inventories
COLLAR_REQUIRED_KEYS: frozenset[str] = frozenset(
{
"admin_state",
"admin_state_str",
"communicating",
"img_load_date",
"img_pnum_running",
"installed",
"last_rpt_date",
"part_num",
"serial_num",
"temperature",
"mid_state",
"grid_state",
"control_error",
"collar_state",
}
)
@dataclass(slots=True)
class EnvoyCollar:
"""Model for the Enphase IQ Meter Collar."""
admin_state: int
admin_state_str: str
firmware_loaded_date: int
firmware_version: str
installed_date: int
last_report_date: int
communicating: bool
mid_state: str
grid_state: str
part_number: str
serial_number: str
temperature: int
temperature_unit: str
control_error: int
collar_state: str
@classmethod
def from_api(cls, inventory: dict[str, Any]) -> EnvoyCollar | None:
"""Initialize from the API. Returns None if required keys are missing."""
missing_keys = COLLAR_REQUIRED_KEYS - set(inventory)
if missing_keys:
return None
return cls(
admin_state=inventory["admin_state"],
admin_state_str=inventory["admin_state_str"],
communicating=inventory["communicating"],
firmware_loaded_date=inventory["img_load_date"],
firmware_version=inventory["img_pnum_running"],
installed_date=inventory["installed"],
last_report_date=inventory["last_rpt_date"],
part_number=inventory["part_num"],
serial_number=inventory["serial_num"],
temperature=inventory["temperature"],
temperature_unit="C",
mid_state=inventory["mid_state"],
grid_state=inventory["grid_state"],
control_error=inventory["control_error"],
collar_state=inventory["collar_state"],
)
pyenphase-pyenphase-901c49f/src/pyenphase/models/common.py 0000664 0000000 0000000 00000007027 15131663564 0023771 0 ustar 00root root 0000000 0000000 """Model for common properties of an envoy."""
from dataclasses import dataclass, field
from ..models.meters import EnvoyPhaseMode
@dataclass(slots=True)
class CommonProperties:
"""
Model for common properties for EnvoyUpdater class updaters.
Class :class:`EnvoyUpdater` implementations
each collect a specific data set or information that can be provided by
an Envoy. Depending on the actual model, firmware, and installed
an Envoy may need one or more updaters to provide all data
components, for :any:`pyenphase.Envoy.update`.
Although each updater has its specific scope, some may need to share
information or make operational information available. One set of
properties are used during probe to share amongst updaters and with
client applications. These should be reset at each probe run. A second
set of properties are specific for an updater during its runtime. The
updater is in control of resetting the property as needed.
"""
# probe properties here, also add to reset_probe_properties
# shared amongst production updaters, needs reset before probe
#: Probe property, Fallback production endpoints for Metered without CT.
#: Solar production data has to be collected from different
#: sources in the Envoy, depending on actual Envoy configuration,
#: each utilizing a different updater. This list will be filled
#: with candidate updaters to use.
production_fallback_list: list[str] = field(
default_factory=list
) #: Fallback production endpoints for Metered without CT
#: ACB batteries report current power in production and in the Ensemble SECCTRL endpoint
#: The Ensemble updater should only report combined ACB and Encharge if production reported data
acb_batteries_reported: int = 0
#: imeter flag from /info. If true envoy is metered type
#: used to detect metered without actual CT installed to enable picking correct data
imeter_info: bool = False
# other properties from here, reset by originator
# controlled by meters updater
#: meters updater, number of phases configured in envoy
phase_count: int = 0
#: meters updater, number of active ct meters
ct_meter_count: int = 0
#: meters updater, phase mode configured in the CT meters
phase_mode: EnvoyPhaseMode | None = None
#: meters updater, list of installed meter types, if installed
meter_types: list[str] = field(default_factory=list)
#: production updater, number of phases actually reporting phase data
active_phase_count: int = 0
def reset_probe_properties(self, is_metered: bool = False) -> None:
"""
Reset common properties at start of probe.
Probe common properties are reset at each probe by :any:`Envoy.probe`
to avoid sticking values. This should only be done for common properties
shared among updaters. Any common properties set outside of probe or controlled
by a specific updater, should be reset at different moments by the
owner of the property.
Shared common properties to reset:
- production_fallback_list shared amongst production updaters
- ACB_batteries_reported shared between production and Ensemble
- imeter_info setting from /info indicating envoy is metered type
:return: None
"""
# shared amongst production updaters
self.production_fallback_list = []
self.imeter_info = is_metered
# shared between production and ensemble
self.acb_batteries_reported = 0
pyenphase-pyenphase-901c49f/src/pyenphase/models/dry_contacts.py 0000664 0000000 0000000 00000007540 15131663564 0025175 0 ustar 00root root 0000000 0000000 """Model for the Enpower dry contact relays."""
# Data Source: URL_DRY_CONTACT_SETTINGS (primary) & URL_DRY_CONTACT_STATUS
from __future__ import annotations
from dataclasses import dataclass
from enum import StrEnum
from typing import Any
class DryContactStatus(StrEnum):
OPEN = "open"
CLOSED = "closed"
class DryContactAction(StrEnum):
APPLY = "apply"
SHED = "shed"
SCHEDULE = "schedule"
NONE = "none"
class DryContactType(StrEnum):
NONE = "NONE"
PV = "PV"
LOAD = "LOAD"
THIRD_PARTY_PV = "3RD-PV"
class DryContactMode(StrEnum):
MANUAL = "manual"
STATE_OF_CHARGE = "soc"
@dataclass(slots=True)
class EnvoyDryContactStatus:
"""Model for the Enpower dry contact relay status."""
id: str
status: str
@classmethod
def from_api(cls, relay: dict[str, Any]) -> EnvoyDryContactStatus:
"""Initialize from the API."""
return cls(
id=relay["id"],
status=DryContactStatus(relay["status"]),
)
@dataclass(slots=True)
class EnvoyDryContactSettings:
"""Model for the Enpower dry contact relay settings."""
id: str
black_start: float | None
essential_end_time: float | None
essential_start_time: float | None
generator_action: DryContactAction
grid_action: DryContactAction
load_name: str
manual_override: bool | None
micro_grid_action: DryContactAction
mode: DryContactMode
override: bool
priority: float | None
pv_serial_nb: list[Any]
soc_high: float
soc_low: float
type: DryContactType
@classmethod
def from_api(cls, relay: dict[str, Any]) -> EnvoyDryContactSettings:
"""Initialize from the API."""
return cls(
id=relay["id"],
black_start=relay.get("black_s_start"),
essential_end_time=relay.get("essential_end_time"),
essential_start_time=relay.get("essential_start_time"),
generator_action=DryContactAction(relay["gen_action"]),
grid_action=DryContactAction(relay["grid_action"]),
load_name=relay["load_name"],
manual_override=(
relay["manual_override"] == "true"
if relay.get("manual_override")
else None
),
micro_grid_action=DryContactAction(relay["micro_grid_action"]),
mode=DryContactMode(relay["mode"]),
override=relay["override"] == "true",
priority=relay.get("priority"),
pv_serial_nb=relay["pv_serial_nb"],
soc_high=relay["soc_high"],
soc_low=relay["soc_low"],
type=DryContactType(relay["type"]),
)
def to_api(self) -> dict[str, Any]:
"""Convert to API format."""
retval = {
"id": self.id,
"gen_action": self.generator_action,
"grid_action": self.grid_action,
"load_name": self.load_name,
# boolean values must be passed to the API as a lowercase string
"manual_override": str(self.manual_override).lower(),
"micro_grid_action": self.micro_grid_action,
"mode": self.mode,
"override": str(self.override).lower(),
"pv_serial_nb": self.pv_serial_nb,
"soc_high": self.soc_high,
"soc_low": self.soc_low,
"type": self.type,
}
if self.black_start is not None:
retval["black_s_start"] = self.black_start
if self.essential_start_time is not None:
retval["essential_start_time"] = self.essential_start_time
if self.essential_end_time is not None:
retval["essential_end_time"] = self.essential_end_time
if self.priority is not None:
retval["priority"] = self.priority
if self.manual_override is not None:
retval["manual_override"] = self.manual_override
return retval
pyenphase-pyenphase-901c49f/src/pyenphase/models/encharge.py 0000664 0000000 0000000 00000007051 15131663564 0024252 0 ustar 00root root 0000000 0000000 """Model for the Encharge/IQ Battery."""
# Data Source: URL_ENSEMBLE_INVENTORY (primary) & URL_ENCHARGE_BATTERY
from __future__ import annotations
from dataclasses import dataclass
from typing import Any
@dataclass(slots=True)
class EnvoyEnchargeAggregate:
"""Model for Encharge aggregate data."""
available_energy: int
backup_reserve: int
state_of_charge: int
reserve_state_of_charge: int
configured_reserve_state_of_charge: int
max_available_capacity: int
@classmethod
def from_api(cls, data: dict[str, Any]) -> EnvoyEnchargeAggregate:
"""Initialize from the API."""
return cls(
available_energy=data["ENC_agg_avail_energy"],
backup_reserve=data["ENC_agg_backup_energy"],
state_of_charge=data["ENC_agg_soc"],
reserve_state_of_charge=data["adjusted_backup_soc"],
configured_reserve_state_of_charge=data["configured_backup_soc"],
max_available_capacity=data["Enc_max_available_capacity"],
)
@dataclass(slots=True)
class EnvoyEnchargePower:
"""Model for the Encharge/IQ battery power."""
apparent_power_mva: int
real_power_mw: int
soc: int
@classmethod
def from_api(cls, power: dict[str, Any]) -> EnvoyEnchargePower:
"""Initialize from the API."""
return cls(
apparent_power_mva=power["apparent_power_mva"],
real_power_mw=power["real_power_mw"],
soc=power["soc"],
)
@dataclass(slots=True)
class EnvoyEncharge:
"""Model for the Encharge/IQ battery."""
admin_state: int
admin_state_str: str
bmu_firmware_version: str
comm_level_2_4_ghz: int
comm_level_sub_ghz: int
communicating: bool
dc_switch_off: bool
encharge_capacity: int
encharge_revision: int
firmware_loaded_date: int
firmware_version: str
installed_date: int
last_report_date: int
led_status: int
max_cell_temp: int
operating: bool | None
part_number: str
percent_full: int
serial_number: str
temperature: int
temperature_unit: str
zigbee_dongle_fw_version: str | None
@classmethod
def from_api(cls, inventory: dict[str, Any]) -> EnvoyEncharge:
"""Initialize from the API."""
return cls(
admin_state=inventory["admin_state"],
admin_state_str=inventory["admin_state_str"],
bmu_firmware_version=inventory["bmu_fw_version"],
comm_level_2_4_ghz=inventory["comm_level_2_4_ghz"],
comm_level_sub_ghz=inventory["comm_level_sub_ghz"],
communicating=inventory["communicating"],
dc_switch_off=inventory["dc_switch_off"],
encharge_capacity=inventory["encharge_capacity"],
encharge_revision=inventory["encharge_rev"],
firmware_loaded_date=inventory["img_load_date"],
firmware_version=inventory["img_pnum_running"],
installed_date=inventory["installed"],
last_report_date=inventory["last_rpt_date"],
led_status=inventory["led_status"],
max_cell_temp=inventory["maxCellTemp"],
operating=inventory.get("operating"), # Firmware 8+ does not have this key
part_number=inventory["part_num"],
percent_full=inventory["percentFull"],
serial_number=inventory["serial_num"],
temperature=inventory["temperature"],
temperature_unit="C",
zigbee_dongle_fw_version=inventory.get(
"zigbee_dongle_fw_version"
), # Firmware 8+ does not have this key
)
pyenphase-pyenphase-901c49f/src/pyenphase/models/enpower.py 0000664 0000000 0000000 00000003720 15131663564 0024154 0 ustar 00root root 0000000 0000000 """Model for the Enpower/IQ System Controller."""
# Data Source: URL_ENSEMBLE_INVENTORY
from __future__ import annotations
from dataclasses import dataclass
from typing import Any
@dataclass(slots=True)
class EnvoyEnpower:
"""Model for the Enpower/IQ System Controller."""
grid_mode: str
admin_state: int
admin_state_str: str
comm_level_2_4_ghz: int
comm_level_sub_ghz: int
communicating: bool
firmware_loaded_date: int
firmware_version: str
installed_date: int
last_report_date: int
mains_admin_state: str
mains_oper_state: str
operating: bool | None
part_number: str
serial_number: str
temperature: int
temperature_unit: str
zigbee_dongle_fw_version: str | None
@classmethod
def from_api(
cls,
enpower: dict[str, Any],
) -> EnvoyEnpower:
"""Initialize from the API."""
return cls(
grid_mode=enpower["Enpwr_grid_mode"],
admin_state=enpower["admin_state"],
admin_state_str=enpower["admin_state_str"],
comm_level_2_4_ghz=enpower["comm_level_2_4_ghz"],
comm_level_sub_ghz=enpower["comm_level_sub_ghz"],
communicating=enpower["communicating"],
firmware_loaded_date=enpower["img_load_date"],
firmware_version=enpower["img_pnum_running"],
installed_date=enpower["installed"],
last_report_date=enpower["last_rpt_date"],
mains_admin_state=enpower["mains_admin_state"],
mains_oper_state=enpower["mains_oper_state"],
operating=enpower.get("operating"), # Firmware 8+ does not have this field
part_number=enpower["part_num"],
serial_number=enpower["serial_num"],
temperature=enpower["temperature"],
temperature_unit="F",
zigbee_dongle_fw_version=enpower.get(
"zigbee_dongle_fw_version"
), # Firmware 8+ does not have this field
)
pyenphase-pyenphase-901c49f/src/pyenphase/models/envoy.py 0000664 0000000 0000000 00000014003 15131663564 0023631 0 ustar 00root root 0000000 0000000 """Model for an envoy."""
from dataclasses import dataclass, field
from typing import Any
from .acb import EnvoyACBPower, EnvoyBatteryAggregate
from .c6combiner import EnvoyC6CC
from .collar import EnvoyCollar
from .dry_contacts import EnvoyDryContactSettings, EnvoyDryContactStatus
from .encharge import EnvoyEncharge, EnvoyEnchargeAggregate, EnvoyEnchargePower
from .enpower import EnvoyEnpower
from .inverter import EnvoyInverter
from .meters import EnvoyMeterData
from .system_consumption import EnvoySystemConsumption
from .system_production import EnvoySystemProduction
from .tariff import EnvoyTariff
@dataclass(slots=True)
class EnvoyData:
"""
Data Model for an envoy.
Data is extract from raw data requested from Envoy. All raw
data is also available as-received in :any:`raw`. For details
on data models refer to the individual model descriptions.
"""
#: dict of found Encharge device information, keyed by Encharge serial number.
encharge_inventory: dict[str, EnvoyEncharge] | None = None
#: dict of Enpower device power and charge state, keyed by Enpower serial number.
encharge_power: dict[str, EnvoyEnchargePower] | None = None
#: Aggregated data for all Encharge devices
encharge_aggregate: EnvoyEnchargeAggregate | None = None
#: EnchargePower device information
enpower: EnvoyEnpower | None = None
#: Power and soc for aggregated ACB batteries
acb_power: EnvoyACBPower | None = None
#: aggregated Enphase and ACB battery SOC and total capacity
battery_aggregate: EnvoyBatteryAggregate | None = None
#: IQ Meter collar, only for Envoy with IQ Meter Collar integrated consumption metering installed
collar: EnvoyCollar | None = None
#: Envoy C6 Combiner controller
c6cc: EnvoyC6CC | None = None
#: Consumption power & energy values, only for Envoy metered with CT installed
system_consumption: EnvoySystemConsumption | None = None
#: Solar Production power & energy values
system_production: EnvoySystemProduction | None = None
#: Individual phase consumption power & energy values, keyed by :any:`PhaseNames`,
#: only for Envoy metered with CT installed
system_consumption_phases: dict[str, EnvoySystemConsumption | None] | None = None
#: Individual phase solar production power & energy values, keyed by :any:`PhaseNames`,
#: only for Envoy metered with CT installed
system_production_phases: dict[str, EnvoySystemProduction | None] | None = None
#: Net consumption power & energy values, a.k.a. grid import/export,
#: only for Envoy metered with CT installed
system_net_consumption: EnvoySystemConsumption | None = None
#: Individual phase Net consumption power & energy values, keyed by :any:`PhaseNames`,
#: only for Envoy metered with CT installed
system_net_consumption_phases: dict[str, EnvoySystemConsumption | None] | None = (
None
)
#: CT power & energy values, only for Envoy metered with CT installed.
#: Keyed by :any:`CtType`
ctmeters: dict[str, EnvoyMeterData] = field(default_factory=dict)
#: CT power & energy phase values, only for Envoy metered with CT installed.
#: Keyed by :any:`CtType` and :any:`PhaseNames`
ctmeters_phases: dict[str, dict[str, EnvoyMeterData]] = field(default_factory=dict)
# these are still here for backward compatibility
#: Production CT power & energy values, only for Envoy metered with production CT installed
#:
#: May be deprecated in a future version, use :any:`ctmeters` [:any:`CtType.PRODUCTION`] instead
#:
ctmeter_production: EnvoyMeterData | None = None
#: Consumption CT power & energy values, only for Envoy metered with consumption CT installed
#:
#: May be deprecated in a future version, use :any:`ctmeters` [:any:`CtType.TOTAL_CONSUMPTION`] or :any:`ctmeters` [:any:`CtType.NET_CONSUMPTION`] instead
#:
ctmeter_consumption: EnvoyMeterData | None = None
#: Storage CT power & energy values, only for Envoy metered with storage CT installed
#:
#: May be deprecated in a future version, use :any:`ctmeters` [:any:`CtType.STORAGE`] instead
#:
ctmeter_storage: EnvoyMeterData | None = None
#: Individual phase production CT power & energy values, keyed by :any:`PhaseNames`,
#: only for Envoy metered with production CT installed
#:
#: May be deprecated in a future version, use :any:`ctmeters_phases` [:any:`CtType.PRODUCTION`] instead
#:
ctmeter_production_phases: dict[str, EnvoyMeterData] | None = None
#: Individual phase consumption CT power & energy values, keyed by :any:`PhaseNames`,
#: only for Envoy metered with consumption installed
#:
#: May be deprecated in a future version, use :any:`ctmeters_phases` [:any:`CtType.TOTAL_CONSUMPTION`] or :any:`ctmeters_phases` [:any:`CtType.NET_CONSUMPTION`] instead
#:
ctmeter_consumption_phases: dict[str, EnvoyMeterData] | None = None
#: Individual phase storage CT power & energy values, keyed by :any:`PhaseNames`,
#: only for Envoy metered with storage CT installed
#:
#: May be deprecated in a future version, use :any:`ctmeters_phases` [:any:`CtType.STORAGE`] instead
#:
ctmeter_storage_phases: dict[str, EnvoyMeterData] | None = None
#: dict of Dry contact relay status, keyed by relay ID
dry_contact_status: dict[str, EnvoyDryContactStatus] = field(default_factory=dict)
#: dict of Dry contact relay settings, keyed by relay ID
dry_contact_settings: dict[str, EnvoyDryContactSettings] = field(
default_factory=dict
)
#: dict of Solar inverter data, keyed by inverter serial-number
inverters: dict[str, EnvoyInverter] = field(default_factory=dict)
#: Tariff information from Envoy
tariff: EnvoyTariff | None = None
# Raw data is exposed so we can __eq__ the data to see if
# anything has changed and consumers of the library can
# avoid dispatching data if nothing has changed.
#: All request responses received from Envoy in last :any:`Envoy.update`, keyed by endpoint
raw: dict[str, Any] = field(default_factory=dict)
pyenphase-pyenphase-901c49f/src/pyenphase/models/home.py 0000664 0000000 0000000 00000010254 15131663564 0023425 0 ustar 00root root 0000000 0000000 """Model for ENphase Envoy home data"""
from __future__ import annotations
from dataclasses import dataclass
from typing import Any
def _find_active_interface(
interfaces: list[dict[str, Any]], name: str
) -> dict[str, Any] | None:
"""Find an interface by interface name."""
if interfaces:
for interface in interfaces:
if interface.get("interface") == name:
return interface
return None
@dataclass(slots=True)
class EnvoyInterfaceInformation:
"""Envoy Interface information data model."""
primary_interface: str #: name of primary (active) interface
mac: str #: mac of primary interface, "unknown" if missing
interface_type: str #: primary interface type, "unknown" if missing
dhcp: bool #: interfaces uses DHCP, False if missing
software_build_epoch: int #: envoy software build time, 0 if missing
timezone: str #: Timezone set in Envoy, "unknown" if missing
@classmethod
def from_api(cls, data: dict[str, Any]) -> EnvoyInterfaceInformation | None:
"""
Return active interface information configured in Envoy
Parses the received JSON into EnvoyInterfaceInformation model data
Source data must be sourced from URL_HOME.
software_build_epoch, timezone are returned as is.
network.primary_interface is returned as is, and used
to find interface data in network.interfaces from which
type, mac and dhcp are returned.
Not all Envoy firmware version may return all data. Defaults for
str members is unknown, int 0 and bool False
Example json returned from /home endpoint:
.. code-block:: json
{
"software_build_epoch": 1719503966,
"timezone": "Europe/Amsterdam",
"current_date": "04/24/2025",
"current_time": "14:53",
"network": {
"web_comm": true,
"ever_reported_to_enlighten": true,
"last_enlighten_report_time": 1745499043,
"primary_interface": "eth0",
"interfaces": [
{
"type": "ethernet",
"interface": "eth0",
"mac": "00:1D:C0:7F:B6:3B",
"dhcp": true,
"ip": "192.168.3.112",
"signal_strength": 1,
"signal_strength_max": 1,
"carrier": true
},
{
"signal_strength": 0,
"signal_strength_max": 0,
"type": "wifi",
"interface": "wlan0",
"mac": "60:E8:5B:AB:9D:64",
"dhcp": true,
"ip": null,
"carrier": false,
"supported": true,
"present": true,
"configured": false,
"status": "connecting"
}
]
}
}
:param data: json returned by /home endpoint
:return: Envoy interface configuration information
"""
# not sure if all firmware versions have all the needed information
if not (network := data.get("network")):
return None
if not (
interface := _find_active_interface(
network.get("interfaces"), (name := network.get("primary_interface"))
)
):
return None
return cls(
primary_interface=name,
mac=interface.get("mac", "unknown"),
interface_type=interface.get("type", "unknown"),
dhcp=interface.get("dhcp", False),
software_build_epoch=data.get("software_build_epoch", 0),
timezone=data.get("timezone", "unknown"),
)
pyenphase-pyenphase-901c49f/src/pyenphase/models/inverter.py 0000664 0000000 0000000 00000006353 15131663564 0024340 0 ustar 00root root 0000000 0000000 """Model for an Enphase microinverter."""
from __future__ import annotations
from dataclasses import dataclass
from typing import Any
@dataclass(slots=True)
class EnvoyInverter:
"""Model for an Enphase microinverter."""
serial_number: str
last_report_date: int
last_report_watts: int
max_report_watts: int
dc_voltage: float | None = None
dc_current: float | None = None
ac_voltage: float | None = None
ac_current: float | None = None
ac_frequency: float | None = None
temperature: float | None = None
lifetime_energy: int | None = None
energy_produced: float | None = None
energy_today: int | None = None
last_report_duration: int | None = None
@classmethod
def from_v1_api(cls, data: dict[str, Any]) -> EnvoyInverter:
"""Initialize from the V1 API."""
return cls(
serial_number=data["serialNumber"],
last_report_date=data["lastReportDate"],
last_report_watts=data["lastReportWatts"],
max_report_watts=data["maxReportWatts"],
)
@classmethod
def from_device_data(cls, data: dict[str, Any]) -> EnvoyInverter:
"""Initialize from device data."""
def safe_convert_milli(value: float | None) -> float | None:
return value / 1000.0 if value is not None else None
# if these don't exist they raise KeyError to not use this model but use from_v1_api
channel = data["channels"][0]
last_reading = channel["lastReading"]
# these four are minimal data set, if one fails keyerror will raise
serial_number = data["sn"]
last_report_date = last_reading["endDate"]
last_report_watts = channel["watts"]["now"]
max_report_watts = channel["watts"]["max"]
# get data to avoid divide errors if None
duration = last_reading.get("duration")
period_joules_produced = last_reading.get("joulesProduced")
lifetime = channel.get("lifetime")
lifetime_joulesProduced = lifetime.get("joulesProduced") if lifetime else None
watthours = channel.get("wattHours")
return cls(
serial_number=serial_number,
last_report_date=last_report_date,
last_report_watts=last_report_watts,
max_report_watts=max_report_watts,
# next ones may return none as they didn't exist before in the model
dc_voltage=safe_convert_milli(last_reading.get("dcVoltageINmV")),
dc_current=safe_convert_milli(last_reading.get("dcCurrentINmA")),
ac_voltage=safe_convert_milli(last_reading.get("acVoltageINmV")),
ac_current=safe_convert_milli(last_reading.get("acCurrentInmA")),
ac_frequency=safe_convert_milli(last_reading.get("acFrequencyINmHz")),
temperature=last_reading.get("channelTemp"),
lifetime_energy=round(lifetime_joulesProduced / 3600.0)
if lifetime_joulesProduced is not None
else None,
energy_produced=round(period_joules_produced / duration / 3.6, 3)
if period_joules_produced is not None and duration is not None
else None,
energy_today=watthours.get("today") if watthours else None,
last_report_duration=duration,
)
pyenphase-pyenphase-901c49f/src/pyenphase/models/meters.py 0000664 0000000 0000000 00000007755 15131663564 0024010 0 ustar 00root root 0000000 0000000 """Model for the Envoy's CT Meters."""
from __future__ import annotations
from dataclasses import dataclass
from enum import StrEnum
from typing import Any, TypedDict
class EnvoyPhaseMode(StrEnum):
SPLIT = "split"
THREE = "three"
SINGLE = "single"
class CtType(StrEnum):
#: Solar production to main panel or Combiner/System controller
PRODUCTION = "production"
#: Net consumption between main panel and grid
NET_CONSUMPTION = "net-consumption"
#: Total consumption between main panel and house load
TOTAL_CONSUMPTION = "total-consumption"
#: Power and energy between battery and main panel or Combiner/System controller
STORAGE = "storage"
#: Power and energy backfeed between Combiner/System controller and main panel
BACKFEED = "backfeed"
#: Power and energy assumed between Combiner/System controller and backup load
LOAD = "load"
#: Power and Energy between Combiner/System controller and EV charger
EVSE = "evse"
#: Power and energy between 3rd-party solar and Combiner/System controller
PV3P = "pv3p"
class CtState(StrEnum):
ENABLED = "enabled"
DISABLED = "disabled"
class CtMeterStatus(StrEnum):
NORMAL = "normal"
NOT_METERING = "not-metering"
CHECK_WIRING = "check-wiring"
class CtStatusFlags(StrEnum):
PODUCTION_IMBALANCE = "production-imbalance"
NEGATIVE_PRODUCTION = "negative-production"
POWER_ON_UNUSED_PHASE = "power-on-unused-phase"
NEGATIVE_TOTAL_CONSUMPTION = "negative-total-consumption"
class CtMeterData(TypedDict):
eid: str
state: CtState
measurementType: CtType
phaseMode: EnvoyPhaseMode
phaseCount: int
meteringStatus: CtMeterStatus
statusFlags: list[CtStatusFlags]
@dataclass(slots=True)
class EnvoyMeterData:
"""Model for the Envoy's CT meter data."""
eid: str #: CT meter identifier
timestamp: int #: Time of measurement
energy_delivered: int #: Lifetime Energy delivered through CT
energy_received: int #: Lifetime Energy received through CT
active_power: int #: Current power exchange through CT, positive is delivering, negative is receiving
power_factor: float #: Power factor reported for CT measurement
voltage: float #: Voltage on circuit, when multiphase sum of voltage of individual phases
current: float #: Current measured by CT
frequency: float #: frequency measured by CT
state: CtState | None #: Actual State of CT
measurement_type: CtType | None #: Measurement type configured for CT
metering_status: CtMeterStatus | None #: CT Measurement status
status_flags: list[CtStatusFlags] | None #: CT status flags.
@classmethod
def from_api(
cls, data: dict[str, Any], meter_status: CtMeterData
) -> EnvoyMeterData:
"""Return CT meter data from /ivp/meters and ivp/meters/reading json."""
return cls(
eid=data["eid"],
timestamp=data["timestamp"],
energy_delivered=round(data["actEnergyDlvd"]),
energy_received=round(data["actEnergyRcvd"]),
active_power=round(data["activePower"]),
power_factor=data["pwrFactor"],
voltage=data["voltage"],
current=data["current"],
frequency=data["freq"],
state=meter_status["state"],
measurement_type=meter_status["measurementType"],
metering_status=meter_status["meteringStatus"],
# statusFlags are not present in older firmware versions
status_flags=meter_status.get("statusFlags"),
)
@classmethod
def from_phase(
cls, data: dict[str, Any], meter_status: CtMeterData, phase: int
) -> EnvoyMeterData | None:
"""Return CT meter phase data from /ivp/meters and ivp/meters/reading json."""
if "channels" not in data:
return None
# phase data is in channels list
channels = data["channels"]
if len(channels) <= phase:
return None
return cls.from_api(channels[phase], meter_status)
pyenphase-pyenphase-901c49f/src/pyenphase/models/storage_settings.py 0000664 0000000 0000000 00000000000 15131663564 0026045 0 ustar 00root root 0000000 0000000 pyenphase-pyenphase-901c49f/src/pyenphase/models/system_consumption.py 0000664 0000000 0000000 00000004647 15131663564 0026470 0 ustar 00root root 0000000 0000000 """Model for the Envoy's consumption data."""
# Data Source: URL_PRODUCTION
from __future__ import annotations
from dataclasses import dataclass
from typing import Any
@dataclass(slots=True)
class EnvoySystemConsumption:
"""Model for the Envoy's (total, house) consumption data."""
watt_hours_lifetime: int #: Lifetime Energy consumed (total-consumption, house)
watt_hours_last_7_days: (
int #: Energy consumed in previous 7 days (not including today)
)
watt_hours_today: (
int #: Energy consumption since start of day (total-consumption, house)
)
watts_now: int #: Current Power consumption (total-consumption, house)
@classmethod
def from_production(
cls, data: dict[str, Any], consumption_segment: int = 0
) -> EnvoySystemConsumption:
"""
Initialize from the production API.
:param data: JSON reply from /production endpoint
:return: Lifetime, last 7 days, todays energy and current power for total-consumption
"""
consumption = data["consumption"][consumption_segment]
return cls(
watt_hours_lifetime=round(consumption["whLifetime"]),
watt_hours_last_7_days=round(consumption["whLastSevenDays"]),
watt_hours_today=round(consumption["whToday"]),
watts_now=round(consumption["wNow"]),
)
@classmethod
def from_production_phase(
cls, data: dict[str, Any], phase: int, consumption_segment: int = 0
) -> EnvoySystemConsumption | None:
"""
Initialize from the production API phase data.
:param data: JSON reply from /production endpoint
:param phase: Index (0-2) in [lines] segment for which to return data
:return: Lifetime, last 7 days, todays energy and current power for total-consumption phase
"""
# get first consumtpion section which is the total-consumption one.
consumption = data["consumption"][consumption_segment]
phases = consumption.get("lines")
# Only return data if phase is present.
if not phases or phase >= len(phases):
return None
phase_data = phases[phase]
return cls(
watt_hours_lifetime=round(phase_data["whLifetime"]),
watt_hours_last_7_days=round(phase_data["whLastSevenDays"]),
watt_hours_today=round(phase_data["whToday"]),
watts_now=round(phase_data["wNow"]),
)
pyenphase-pyenphase-901c49f/src/pyenphase/models/system_production.py 0000664 0000000 0000000 00000007024 15131663564 0026270 0 ustar 00root root 0000000 0000000 """Model for the Envoy's production data."""
# Data Source: URL_PRODUCTION
from __future__ import annotations
from dataclasses import dataclass
from typing import Any
def find_dict_by_key(all_production: list[dict[str, Any]], key: str) -> dict[str, Any]:
"""Find a dict by key."""
for production in all_production:
if production.get("type") == key:
return production
raise ValueError(f"{key} is missing")
@dataclass(slots=True)
class EnvoySystemProduction:
"""Model for the Envoy's production data."""
watt_hours_lifetime: int #: Lifetime Energy produced
watt_hours_last_7_days: (
int #: Energy produced in previous 7 days (not including today)
)
watt_hours_today: int #: Energy produced since start of day
watts_now: int #: Current Power production
@classmethod
def from_v1_api(cls, data: dict[str, Any]) -> EnvoySystemProduction:
"""
Initialize from the V1 API.
:param data: JSON reply from api/v1/production endpoint
:return: Lifetime, last seven days, todays energy and current power for solar production
"""
return cls(
watt_hours_lifetime=data["wattHoursLifetime"],
watt_hours_last_7_days=data["wattHoursSevenDays"],
watt_hours_today=data["wattHoursToday"],
watts_now=data["wattsNow"],
)
@classmethod
def from_production(cls, data: dict[str, Any]) -> EnvoySystemProduction:
"""
Initialize from the production API.
:param data: JSON reply from /production endpoint
:return: Lifetime, last seven days, todays energy and current power for solar production
"""
all_production = data["production"]
eim = find_dict_by_key(all_production, "eim")
inverters = find_dict_by_key(all_production, "inverters")
# This is backwards compatible with envoy_reader
# envoy metered without configured CT has whLifetime and wNow in inverters
# whLastSevenDays and whToday are incorrect for both so either can be used
now_source = eim if eim["activeCount"] else inverters
return cls(
watt_hours_lifetime=round(now_source["whLifetime"]),
watt_hours_last_7_days=round(
eim.get("whLastSevenDays") or inverters.get("whLastSevenDays") or 0
),
watt_hours_today=round(eim.get("whToday") or inverters.get("whToday") or 0),
watts_now=round(now_source["wNow"]),
)
@classmethod
def from_production_phase(
cls, data: dict[str, Any], phase: int
) -> EnvoySystemProduction | None:
"""
Initialize from the production API phase data.
:param data: JSON reply from /production endpoint
:param phase: Index (0-2) in [lines] segment for which to return data
:return: Lifetime, last seven days, todays energy and current power for production phase
"""
all_production = data["production"]
eim = find_dict_by_key(all_production, "eim")
# if {production[type=eim]{Lines[]} or phase is missing return None
phases = eim.get("lines")
if not phases or phase >= len(phases):
return None
phase_data = phases[phase]
return cls(
watt_hours_lifetime=round(phase_data.get("whLifetime") or 0),
watt_hours_last_7_days=round(phase_data.get("whLastSevenDays") or 0),
watt_hours_today=round(phase_data.get("whToday") or 0),
watts_now=round(phase_data.get("wNow") or 0),
)
pyenphase-pyenphase-901c49f/src/pyenphase/models/tariff.py 0000664 0000000 0000000 00000007310 15131663564 0023747 0 ustar 00root root 0000000 0000000 """Model for the Envoy tariff data."""
from __future__ import annotations
from dataclasses import dataclass
from enum import StrEnum
from typing import Any
class EnvoyStorageMode(StrEnum):
BACKUP = "backup"
SELF_CONSUMPTION = "self-consumption"
SAVINGS = "economy"
LEGACY_SAVINGS = "savings-mode"
@dataclass
class EnvoyTariff:
"""Model for the Envoy tariff data."""
currency: dict[str, Any]
logger: str | None
date: str | None
storage_settings: EnvoyStorageSettings | None
single_rate: dict[str, Any]
seasons: list[Any]
seasons_sell: list[Any] | None
@classmethod
def from_api(cls, data: dict[str, Any]) -> EnvoyTariff:
"""Initialize from the API."""
return cls(
currency=data["currency"],
logger=data.get("logger"),
date=data.get("date"),
storage_settings=(
EnvoyStorageSettings.from_api(data["storage_settings"])
if data.get("storage_settings")
else None
),
single_rate=data["single_rate"],
seasons=data["seasons"],
seasons_sell=data.get("seasons_sell"),
)
def to_api(self) -> dict[str, Any]:
"""Convert to API format."""
retval = {
"currency": self.currency,
"single_rate": self.single_rate,
"seasons": self.seasons,
}
if self.logger:
retval["logger"] = self.logger
if self.date:
retval["date"] = self.date
if self.seasons_sell:
retval["seasons_sell"] = self.seasons_sell
if self.storage_settings:
retval["storage_settings"] = self.storage_settings.to_api()
return retval
@dataclass
class EnvoyStorageSettings:
"""Model for the Envoy storage settings."""
mode: EnvoyStorageMode | None
operation_mode_sub_type: str
reserved_soc: float
very_low_soc: int
charge_from_grid: bool
date: str | None
opt_schedules: bool | None
@classmethod
def from_api(cls, data: dict[str, Any]) -> EnvoyStorageSettings:
"""Initialize from the API."""
return cls(
# It appears a `mode` value of `economy` and `savings-mode` is interchangeable
# However, the Enlighten app is using the `economy` value, so we will convert
# `savings-mode` to `economy`
# some fw return None in storage_settings["data"]
mode=(
EnvoyStorageMode.SAVINGS
if data["mode"] == EnvoyStorageMode.LEGACY_SAVINGS.value
else EnvoyStorageMode(data["mode"])
if data.get("mode")
else None
),
operation_mode_sub_type=data["operation_mode_sub_type"],
reserved_soc=data["reserved_soc"],
very_low_soc=data["very_low_soc"],
charge_from_grid=data["charge_from_grid"],
# Some firmware versions don't return date
date=data.get("date"),
# opt_schedules was added in 8.2.42xx
opt_schedules=data.get("opt_schedules"),
)
def to_api(self) -> dict[str, Any]:
"""Convert to API format."""
retval = {
"mode": self.mode.value if self.mode else None,
"operation_mode_sub_type": self.operation_mode_sub_type,
"reserved_soc": self.reserved_soc,
"very_low_soc": self.very_low_soc,
"charge_from_grid": self.charge_from_grid,
}
if self.date is not None:
retval["date"] = self.date
# opt_schedules was added in 8.2.42xx
if self.opt_schedules is not None:
retval["opt_schedules"] = self.opt_schedules
return retval
pyenphase-pyenphase-901c49f/src/pyenphase/py.typed 0000664 0000000 0000000 00000000000 15131663564 0022323 0 ustar 00root root 0000000 0000000 pyenphase-pyenphase-901c49f/src/pyenphase/ssl.py 0000664 0000000 0000000 00000003445 15131663564 0022017 0 ustar 00root root 0000000 0000000 """Pyenphase SSL helper"""
import contextlib
import ssl
def create_no_verify_ssl_context() -> ssl.SSLContext:
"""
Return an SSL context that does not verify the server certificate.
This is a copy of aiohttp's create_default_context() function, with the
ssl verify turned off and old SSL versions enabled.
https://github.com/aio-libs/aiohttp/blob/33953f110e97eecc707e1402daa8d543f38a189b/aiohttp/connector.py#L911
:return: SSLcontext with ssl verify turned off.
"""
sslcontext = ssl.SSLContext(ssl.PROTOCOL_TLS_CLIENT)
sslcontext.check_hostname = False
sslcontext.verify_mode = ssl.CERT_NONE
# Allow all ciphers rather than only Python 3.10 default
sslcontext.set_ciphers("DEFAULT")
with contextlib.suppress(AttributeError):
# This only works for OpenSSL >= 1.0.0
sslcontext.options |= ssl.OP_NO_COMPRESSION
sslcontext.set_default_verify_paths()
return sslcontext
#: Alias for :any:`create_no_verify_ssl_context`
#:
#: .. code-block:: python
#:
#: import aiohttp
#: from pyenphase.ssl import NO_VERIFY_SSL_CONTEXT
#:
#: connector = aiohttp.TCPConnector(ssl=NO_VERIFY_SSL_CONTEXT)
#: client = aiohttp.ClientSession(connector=connector)
NO_VERIFY_SSL_CONTEXT = create_no_verify_ssl_context()
def create_default_ssl_context() -> ssl.SSLContext:
"""Create aiohttp client with default SSL context."""
return ssl.create_default_context()
#: Alias for :any:`create_default_ssl_context`
#:
#: .. code-block:: python
#:
#: import aiohttp
#: from pyenphase.ssl import SSL_CONTEXT
#:
#: connector = aiohttp.TCPConnector(ssl=SSL_CONTEXT)
#: async with aiohttp.ClientSession(connector=connector) as client:
#: response = await client.post(url, json=json, data=data)
#:
SSL_CONTEXT = create_default_ssl_context()
pyenphase-pyenphase-901c49f/src/pyenphase/updaters/ 0000775 0000000 0000000 00000000000 15131663564 0022465 5 ustar 00root root 0000000 0000000 pyenphase-pyenphase-901c49f/src/pyenphase/updaters/__init__.py 0000664 0000000 0000000 00000000000 15131663564 0024564 0 ustar 00root root 0000000 0000000 pyenphase-pyenphase-901c49f/src/pyenphase/updaters/api_v1_production.py 0000664 0000000 0000000 00000005752 15131663564 0026475 0 ustar 00root root 0000000 0000000 import logging
from typing import Any
from ..const import (
METERED_NOCT_FALLBACK_TO_INVERTERS,
URL_PRODUCTION_V1,
SupportedFeatures,
)
from ..exceptions import ENDPOINT_PROBE_EXCEPTIONS
from ..models.envoy import EnvoyData
from ..models.system_production import EnvoySystemProduction
from .base import EnvoyUpdater
_LOGGER = logging.getLogger(__name__)
class EnvoyApiV1ProductionUpdater(EnvoyUpdater):
"""Class to handle updates for production data."""
async def probe(
self, discovered_features: SupportedFeatures
) -> SupportedFeatures | None:
"""Probe the Envoy for this updater and return SupportedFeatures."""
if SupportedFeatures.PRODUCTION in discovered_features:
# Already discovered from another updater
return None
try:
response: dict[str, Any] = await self._json_probe_request(URL_PRODUCTION_V1)
except ENDPOINT_PROBE_EXCEPTIONS as e:
_LOGGER.debug(
"Production endpoint not found at %s: %s", URL_PRODUCTION_V1, e
)
return None
# Envoy metered without configured CT returns zero's in V1 Production Endpoint
# sometimes wNow has a value. When Watthours Today, last 7 days and lifetime
# are all 3 zero is an indication envoy is not reporting summed values in V1 production
# return None to fallback to inverters section in production endpoint.
if all(
value == 0 for key, value in response.items() if key.startswith("wattHours")
):
_LOGGER.debug(
"Detected broken production endpoint bug at %s: %s",
URL_PRODUCTION_V1,
response,
)
return None
# Envoy metered without configured CT in firmware 8.2.8.2.4264 and newer returns
# stalled values in V1 Production Endpoint. When /info is_meter is set, no configured
# CT are found and firmware is 8.2.4264 or newer, it is an indication envoy is not reporting proper
# summed values in V1 production. Return None to fallback to inverters section in production endpoint.
if (
self._common_properties.imeter_info
and self._envoy_version >= METERED_NOCT_FALLBACK_TO_INVERTERS
and not self._common_properties.ct_meter_count
):
_LOGGER.debug(
"Detected metered Envoy without connected CT will fallback to using inverter values from /production. fw %s",
self._envoy_version,
)
return None
self._supported_features |= SupportedFeatures.PRODUCTION
return self._supported_features
async def update(self, envoy_data: EnvoyData) -> None:
"""Update the Envoy for this updater."""
production_data = await self._json_request(URL_PRODUCTION_V1)
envoy_data.raw[URL_PRODUCTION_V1] = production_data
envoy_data.system_production = EnvoySystemProduction.from_v1_api(
production_data
)
pyenphase-pyenphase-901c49f/src/pyenphase/updaters/api_v1_production_inverters.py 0000664 0000000 0000000 00000003600 15131663564 0030564 0 ustar 00root root 0000000 0000000 import logging
from typing import Any
from ..const import URL_PRODUCTION_INVERTERS, SupportedFeatures
from ..exceptions import ENDPOINT_PROBE_EXCEPTIONS, EnvoyAuthenticationRequired
from ..models.envoy import EnvoyData
from ..models.inverter import EnvoyInverter
from .base import EnvoyUpdater
_LOGGER = logging.getLogger(__name__)
class EnvoyApiV1ProductionInvertersUpdater(EnvoyUpdater):
"""Class to handle updates for inverter production data."""
async def probe(
self, discovered_features: SupportedFeatures
) -> SupportedFeatures | None:
"""Probe the Envoy for this updater and return SupportedFeatures."""
if SupportedFeatures.INVERTERS in discovered_features:
# Already discovered from another updater
return None
try:
await self._json_probe_request(URL_PRODUCTION_INVERTERS)
except ENDPOINT_PROBE_EXCEPTIONS as e:
_LOGGER.debug(
"Production endpoint not found at %s: %s", URL_PRODUCTION_INVERTERS, e
)
return None
except EnvoyAuthenticationRequired as e:
_LOGGER.debug(
"Disabling inverters production endpoint as user does"
" not have access to %s: %s",
URL_PRODUCTION_INVERTERS,
e,
)
return None
self._supported_features |= SupportedFeatures.INVERTERS
return self._supported_features
async def update(self, envoy_data: EnvoyData) -> None:
"""Update the Envoy for this updater."""
inverters_data: list[dict[str, Any]] = await self._json_request(
URL_PRODUCTION_INVERTERS
)
envoy_data.raw[URL_PRODUCTION_INVERTERS] = inverters_data
envoy_data.inverters = {
inverter["serialNumber"]: EnvoyInverter.from_v1_api(inverter)
for inverter in inverters_data
}
pyenphase-pyenphase-901c49f/src/pyenphase/updaters/base.py 0000664 0000000 0000000 00000014252 15131663564 0023755 0 ustar 00root root 0000000 0000000 from abc import abstractmethod
from collections.abc import Awaitable, Callable
from typing import Any
import aiohttp
from awesomeversion import AwesomeVersion
from ..const import SupportedFeatures
from ..exceptions import EnvoyHTTPStatusError
from ..json import json_loads
from ..models.common import CommonProperties
from ..models.envoy import EnvoyData
class EnvoyUpdater:
"""Base class for Envoy updaters."""
def __init__(
self,
envoy_version: AwesomeVersion,
probe_request: Callable[[str], Awaitable[aiohttp.ClientResponse]],
request: Callable[[str], Awaitable[aiohttp.ClientResponse]],
common_properties: CommonProperties,
) -> None:
"""
Base class for Envoy updaters.
Updaters should implement a subclass of EnvoyUpdater.
.. code-block:: python
class EnvoyXyzUpdater(EnvoyUpdater):
:param envoy_version: firmware version Envoy is running
:param probe_request: callable specified by
:any:`Envoy` to send probe request to the Envoy
during :any:`Envoy.probe`
:param request: callable specified by :any:`Envoy` to
send request to the Envoy during :any:`Envoy.update`
:param common_properties: properties to share between
probe and update or between updaters
"""
self._envoy_version = envoy_version
self._probe_request = probe_request
self._request = request
self._supported_features = SupportedFeatures(0)
self._common_properties = common_properties
async def _json_request(self, end_point: str) -> Any:
"""
Make a request to the Envoy and return the JSON response.
Updaters should use this to collect data during :any:`update` method.
.. code-block:: python
xyz_json: dict[str, Any] = await self._json_request(
"/xyz/endpoint"
)
:param end_point: Envoy endpoint to request. See :any:`Envoy.request`
:raises EnvoyHTTPStatusError: If http status not in 2xx range
:return: JSON content from response
:seealso: :any:`Envoy.request`
"""
response = await self._request(end_point)
if not (200 <= response.status < 300):
raise EnvoyHTTPStatusError(response.status, str(response.url))
return json_loads(end_point, await response.read())
async def _json_probe_request(self, end_point: str) -> Any:
"""
Make a probe request to the Envoy and return the JSON response.
Updaters should use this to collect data during :any:`probe` method.
.. code-block:: python
xyz_json: dict[str, Any] = await self._json_probe_request(
"/xyz/endpoint"
)
:param end_point: Envoy endpoint to request. See :any:`Envoy.probe`
:raises EnvoyHTTPStatusError: If http status not in 2xx range
:return: JSON content from response
:seealso: :any:`Envoy.probe_request`
"""
response = await self._probe_request(end_point)
if not (200 <= response.status < 300):
raise EnvoyHTTPStatusError(response.status, str(response.url))
return json_loads(end_point, await response.read())
@abstractmethod
async def probe(
self, discovered_features: SupportedFeatures
) -> SupportedFeatures | None:
"""
Probe the Envoy for this updater and return SupportedFeatures.
Updater must implement a probe method to report which features it supports.
Probe method of each registered updater is called by :any:`Envoy.probe`.
Intent of probe is to determine if this updater should be used
to obtain the data in its scope from the Envoy. If the Envoy
model does not provide the data the method should return None.
If the Envoy model does provide the data in scope, the method should
return a supported features mask for which it can provide data.
Any supported feature that is already included in the passed
discovered_features parameter should NOT be included in the result
as these are already provided by another updater and this updater
should back off from providing that feature data.
.. code-block:: python
async def probe(
self, discovered_features: SupportedFeatures
) -> SupportedFeatures | None:
\"\"\"Probe the Envoy for this endpoint and return SupportedFeatures.\"\"\"
if SupportedFeatures.MY_FEATURE in discovered_features:
# Already discovered from another updater
return None
try:
json_data: dict[str, Any] = await self._json_probe_request(MY_ENDPOINT)
except ENDPOINT_PROBE_EXCEPTIONS as e:
_LOGGER.debug("Endpoint not found at %s: %s", MY_ENDPOINT, e)
return None
# process data
return SupportedFeatures.MY_FEATURE
:param discovered_features: Mask of already discovered SupportedFeatures
:return: Mask of SupportedFeatures to be added to already discovered
features (and not yet in discovered_features).
"""
@abstractmethod
async def update(self, envoy_data: EnvoyData) -> None:
"""
Get data from the Envoy and store in EnvoyData.
Updater must implement an update method to add/update data in
:any:`EnvoyData`. Update method of each registered updater is
called by :any:`Envoy.update`.
The update method is expected to obtain the required data from
the envoy, map it to the internal data model and store the data.
It should also store retrieved raw data in :any:`EnvoyData.raw`
.. code-block:: python
async def update(self, envoy_data: EnvoyData) -> None:
\"\"\"Get data from the Envoy and store in EnvoyData.\"\"\"
json_data = await self._json_request(self.end_point)
envoy_data.raw[self.end_point] = json_data
# store applicable data in envoy_data
:param envoy_data: Envoy data model to store collected data in
"""
pyenphase-pyenphase-901c49f/src/pyenphase/updaters/device_data_inverters.py 0000664 0000000 0000000 00000007711 15131663564 0027376 0 ustar 00root root 0000000 0000000 import logging
from typing import Any
from ..const import URL_DEVICE_DATA, SupportedFeatures
from ..exceptions import ENDPOINT_PROBE_EXCEPTIONS, EnvoyAuthenticationRequired
from ..models.envoy import EnvoyData
from ..models.inverter import EnvoyInverter
from .base import EnvoyUpdater
_LOGGER = logging.getLogger(__name__)
class EnvoyDeviceDataInvertersUpdater(EnvoyUpdater):
"""Class to handle updates for inverter device data."""
def _filter_inverters(self, inverters_data: dict[str, Any]) -> dict[str, Any]:
"""Filter and return only PCU inverter devices."""
return {
inverter["sn"]: inverter
for id, inverter in inverters_data.items()
if id not in ("deviceCount", "deviceDataLimit")
and inverter["devName"] == "pcu"
}
async def probe(
self, discovered_features: SupportedFeatures
) -> SupportedFeatures | None:
"""Probe the Envoy for this updater and return SupportedFeatures."""
if SupportedFeatures.INVERTERS in discovered_features:
# Already discovered from another updater
return None
try:
inverters_data = await self._json_probe_request(URL_DEVICE_DATA)
except ENDPOINT_PROBE_EXCEPTIONS as e:
_LOGGER.debug(
"Device data endpoint not found at %s: %s", URL_DEVICE_DATA, e
)
return None
except EnvoyAuthenticationRequired as e:
_LOGGER.debug(
"Disabling inverters device data endpoint as user does"
" not have access to %s: %s",
URL_DEVICE_DATA,
e,
)
return None
# make sure deviceCount did not reach deviceDataLimit,
# if more inverters are actually installed they will not be included
# if so fall back to inverter production page
try:
if inverters_data["deviceCount"] >= inverters_data["deviceDataLimit"]:
_LOGGER.debug(
"Disabling inverters device data endpoint "
" as deviceCount reached deviceDataLimit %s: %s - %s",
URL_DEVICE_DATA,
inverters_data["deviceCount"],
inverters_data["deviceDataLimit"],
)
return None
except KeyError as e:
# if doesn't have these keys, fall back to inverter production
_LOGGER.debug(
"Disabling inverters device data endpoint "
" as not all data fields are present %s: %s",
URL_DEVICE_DATA,
e,
)
return None
# verify minimal data set to replace inverter production data is present
try:
filtered_inverters = self._filter_inverters(inverters_data)
_ = {
sn: EnvoyInverter.from_device_data(inverter)
for sn, inverter in filtered_inverters.items()
}
except KeyError as e:
# if any inverter returned None there's something messed by json format, fall back to production
_LOGGER.debug(
"Disabling inverters device data endpoint "
" as not all data fields are present %s: %s",
URL_DEVICE_DATA,
e,
)
return None
self._supported_features |= (
SupportedFeatures.INVERTERS | SupportedFeatures.DETAILED_INVERTERS
)
return self._supported_features
async def update(self, envoy_data: EnvoyData) -> None:
"""Update the Envoy for this updater."""
inverters_data: dict[str, Any] = await self._json_request(URL_DEVICE_DATA)
envoy_data.raw[URL_DEVICE_DATA] = inverters_data
filtered_inverters = self._filter_inverters(inverters_data)
envoy_data.inverters = {
sn: EnvoyInverter.from_device_data(inverter)
for sn, inverter in filtered_inverters.items()
}
pyenphase-pyenphase-901c49f/src/pyenphase/updaters/ensemble.py 0000664 0000000 0000000 00000015015 15131663564 0024633 0 ustar 00root root 0000000 0000000 """Pyenphase Ensemble updater class."""
import logging
from typing import Any
from ..const import (
ENSEMBLE_MIN_VERSION,
URL_DRY_CONTACT_SETTINGS,
URL_DRY_CONTACT_STATUS,
URL_ENCHARGE_BATTERY,
URL_ENSEMBLE_INVENTORY,
URL_ENSEMBLE_SECCTRL,
SupportedFeatures,
)
from ..exceptions import ENDPOINT_PROBE_EXCEPTIONS
from ..models.acb import EnvoyBatteryAggregate
from ..models.c6combiner import EnvoyC6CC
from ..models.collar import EnvoyCollar
from ..models.dry_contacts import EnvoyDryContactSettings, EnvoyDryContactStatus
from ..models.encharge import EnvoyEncharge, EnvoyEnchargeAggregate, EnvoyEnchargePower
from ..models.enpower import EnvoyEnpower
from ..models.envoy import EnvoyData
from .base import EnvoyUpdater
_LOGGER = logging.getLogger(__name__)
class EnvoyEnembleUpdater(EnvoyUpdater):
"""Class to handle updates for Ensemble devices."""
async def probe(
self, discovered_features: SupportedFeatures
) -> SupportedFeatures | None:
"""Probe the Envoy for this updater and return SupportedFeatures."""
if self._envoy_version < ENSEMBLE_MIN_VERSION:
_LOGGER.debug("Firmware too old for Ensemble support")
return None
# Check for various Ensemble support
# The Ensemble Inventory endpoint will tell us if we have Enpower or Encharge support
try:
result = await self._json_probe_request(URL_ENSEMBLE_INVENTORY)
except ENDPOINT_PROBE_EXCEPTIONS as e:
_LOGGER.debug("Ensemble Inventory endpoint not found: %s", e)
else:
if not result or "error" in result:
# Newer firmware with no Ensemble devices returns an empty list
_LOGGER.debug("No Ensemble devices found")
return None
for item in result:
if item["type"] == "ENPOWER":
self._supported_features |= SupportedFeatures.ENPOWER
if item["type"] == "ENCHARGE":
self._supported_features |= SupportedFeatures.ENCHARGE
if item["type"] == "COLLAR":
self._supported_features |= SupportedFeatures.COLLAR
if item["type"] == "C6 COMBINER CONTROLLER":
self._supported_features |= SupportedFeatures.C6CC
return self._supported_features
async def update(self, envoy_data: EnvoyData) -> None:
"""Update the Envoy for this updater."""
# Update Enpower and Encharge data if supported
supported_features = self._supported_features
ensemble_inventory_data: list[dict[str, Any]] = await self._json_request(
URL_ENSEMBLE_INVENTORY
)
envoy_data.raw[URL_ENSEMBLE_INVENTORY] = ensemble_inventory_data
ensemble_secctrl_data: dict[str, Any] = await self._json_request(
URL_ENSEMBLE_SECCTRL
)
envoy_data.raw[URL_ENSEMBLE_SECCTRL] = await self._json_request(
URL_ENSEMBLE_SECCTRL
)
if supported_features & SupportedFeatures.ENCHARGE:
encharge_power_data: dict[str, Any] = await self._json_request(
URL_ENCHARGE_BATTERY
)
envoy_data.raw[URL_ENCHARGE_BATTERY] = encharge_power_data
power: dict[str, Any] = {
device["serial_num"]: device
for device in encharge_power_data["devices:"]
}
inventory: dict[str, Any] = {}
for item in ensemble_inventory_data:
if item["type"] != "ENCHARGE":
continue
inventory = {device["serial_num"]: device for device in item["devices"]}
envoy_data.encharge_inventory = {
serial: EnvoyEncharge.from_api(inventory[serial])
for serial in inventory
}
envoy_data.encharge_power = {
serial: EnvoyEnchargePower.from_api(power[serial]) for serial in power
}
envoy_data.encharge_aggregate = EnvoyEnchargeAggregate.from_api(
ensemble_secctrl_data
)
if supported_features & SupportedFeatures.ENPOWER:
# Update Enpower data
for item in ensemble_inventory_data:
if item["type"] != "ENPOWER":
continue
enpower_data = item["devices"][0]
envoy_data.enpower = EnvoyEnpower.from_api(enpower_data)
# Update dry contact data
dry_contact_status_data: dict[str, Any] = await self._json_request(
URL_DRY_CONTACT_STATUS
)
envoy_data.raw[URL_DRY_CONTACT_STATUS] = dry_contact_status_data
dry_contact_settings_data: dict[str, Any] = await self._json_request(
URL_DRY_CONTACT_SETTINGS
)
envoy_data.raw[URL_DRY_CONTACT_SETTINGS] = dry_contact_settings_data
envoy_data.dry_contact_status = {
relay["id"]: EnvoyDryContactStatus.from_api(relay)
for relay in dry_contact_status_data["dry_contacts"]
}
envoy_data.dry_contact_settings = {
relay["id"]: EnvoyDryContactSettings.from_api(relay)
for relay in dry_contact_settings_data["dry_contacts"]
}
# production updater will set common_properties.ACB_batteries_reported
# to count of ACB batteries. Check if production report found
# acb batteries and if so report combined soc and max capacity
# for Encharge and ACB batteries
if self._common_properties.acb_batteries_reported:
envoy_data.battery_aggregate = EnvoyBatteryAggregate.from_api(
ensemble_secctrl_data
)
# IQ Meter collar seems like a single instance only
if supported_features & SupportedFeatures.COLLAR:
# Update Collar data
for item in ensemble_inventory_data:
if item["type"] != "COLLAR":
continue
if item.get("devices"):
collar_data = item["devices"][0]
envoy_data.collar = EnvoyCollar.from_api(collar_data)
# C6 Combiner seems like a single instance only
if supported_features & SupportedFeatures.C6CC:
# Update C6CC data
for item in ensemble_inventory_data:
if item["type"] != "C6 COMBINER CONTROLLER":
continue
if item.get("devices"):
c6cc_data = item["devices"][0]
envoy_data.c6cc = EnvoyC6CC.from_api(c6cc_data)
pyenphase-pyenphase-901c49f/src/pyenphase/updaters/generator.py 0000664 0000000 0000000 00000003350 15131663564 0025026 0 ustar 00root root 0000000 0000000 import logging
from typing import Any
from ..const import ENSEMBLE_MIN_VERSION, URL_GEN_CONFIG, SupportedFeatures
from ..exceptions import ENDPOINT_PROBE_EXCEPTIONS
from ..models.envoy import EnvoyData
from .base import EnvoyUpdater
_LOGGER = logging.getLogger(__name__)
class EnvoyGeneratorUpdater(EnvoyUpdater):
"""Class to handle updates for Generator information."""
async def probe(
self, discovered_features: SupportedFeatures
) -> SupportedFeatures | None:
"""Probe the Envoy for this updater and return SupportedFeatures."""
if self._envoy_version < ENSEMBLE_MIN_VERSION:
_LOGGER.debug("Firmware too old for Ensemble support")
return None
# If there's no Enpower smart switch, we can skip the generator probe
if SupportedFeatures.ENPOWER not in discovered_features:
return None
# Check for generator support
try:
result = await self._json_probe_request(URL_GEN_CONFIG)
except ENDPOINT_PROBE_EXCEPTIONS as e:
_LOGGER.debug("Generator config endpoint not found: %s", e)
else:
if not result or "error" in result or "err" in result:
# Newer firmware with no generator configured returns an empty dict
_LOGGER.debug("No generator found")
return None
self._supported_features |= SupportedFeatures.GENERATOR
return self._supported_features
async def update(self, envoy_data: EnvoyData) -> None:
"""Update the generator data if supported."""
generator_config_data: list[dict[str, Any]] = await self._json_request(
URL_GEN_CONFIG
)
envoy_data.raw[URL_GEN_CONFIG] = generator_config_data
pyenphase-pyenphase-901c49f/src/pyenphase/updaters/meters.py 0000664 0000000 0000000 00000022276 15131663564 0024347 0 ustar 00root root 0000000 0000000 """Envoy CT Meter updater"""
import logging
from typing import Any
from ..const import (
ENDPOINT_URL_METERS,
ENDPOINT_URL_METERS_READINGS,
PHASENAMES,
SupportedFeatures,
)
from ..exceptions import ENDPOINT_PROBE_EXCEPTIONS, EnvoyAuthenticationRequired
from ..models.envoy import EnvoyData
from ..models.meters import CtMeterData, CtState, CtType, EnvoyMeterData, EnvoyPhaseMode
from .base import EnvoyUpdater
_LOGGER = logging.getLogger(__name__)
class EnvoyMetersUpdater(EnvoyUpdater):
"""Class to handle updates for Envoy CT Meters."""
end_point = ENDPOINT_URL_METERS #: endpoint in envoy to read CT meter configuration
data_end_point = (
ENDPOINT_URL_METERS_READINGS #: endpoint in Envoy to read CT meter data
)
meter_types: list[str] #: CT types found
phase_mode: EnvoyPhaseMode | None = (
None #: Phase mode configured (Single, Dual or Three)
)
phase_count: int = 0 #: Number of phases configured and measured in the Envoy
ct_meters_count: int = (
0 #: Number of installed current transformers (Envoy metered Only)
)
meter_eids: dict[int | str, str] #: CT identifiers
def _set_common_properties(self) -> None:
"""Set Envoy common properties we own and control"""
self._common_properties.phase_count = self.phase_count
self._common_properties.phase_mode = self.phase_mode
self._common_properties.meter_types = self.meter_types
self._common_properties.ct_meter_count = self.ct_meters_count
async def probe(
self, discovered_features: SupportedFeatures
) -> SupportedFeatures | None:
"""
Probe the Envoy meter setup and return CT and multiphase details in SupportedFeatures.
Get CT configuration info from ivp/meters in the Envoy and determine any multi-phase setup.
Set :any:SupportedFeatures.CTMETERS if CT are found and enabled.
Set Threephase or Dualphase supported feature if Envoy is in one of these setups.
Set common properties (phase_count, ct_meter_count, phase_mode, meter_types)
to default or discovered values. These are owned by this updater.
:param discovered_features: Features discovered by other updaters for this updater to skip
:return: features discovered by this updater
"""
if SupportedFeatures.CTMETERS in discovered_features:
# Already discovered from another updater
return None
# set defaults for common properties we own and will set
self.phase_count = 1 # Default to 1 phase which is overall numbers only
self.ct_meters_count = (
0 # default no CT, only available on Envoy metered if configured
)
self.phase_mode = (
None # Phase mode only if ct meters are installed and configured
)
# track found ct meter measurement types
self.meter_types = []
# set the defaults in global common properties in case we exit early
self._set_common_properties()
# set local defaults not shared in common properties
self.meter_eids = {}
try:
meters_json: list[CtMeterData] | None = await self._json_probe_request(
self.end_point
)
except ENDPOINT_PROBE_EXCEPTIONS as e:
_LOGGER.debug("Meters endpoint not found at %s: %s", self.end_point, e)
return None
except EnvoyAuthenticationRequired as e:
# For D3.18.10 (f0855e) systems return 401 even if the user has access
# to the endpoint so we must skip it.
_LOGGER.debug(
"Skipping meters endpoint as user does not have access to %s: %s",
self.end_point,
e,
)
return None
else:
# The endpoint can return valid json on error
# in the form of {"error": "message"}
if not meters_json or "error" in meters_json:
# Non metered Envoy return empty list
_LOGGER.debug("No CT Meters found")
return None
# Set multiphase features so other providers/models can return phase data
for meter in meters_json:
if meter["state"] == CtState.ENABLED:
# remember what meter is installed
self.meter_types.append(meter_type := meter["measurementType"])
# save meter identifier for link between /ivp/meters and /ivp/meters/readings
self.meter_eids[meter["eid"]] = meter_type
self.ct_meters_count += 1
self.phase_mode = meter["phaseMode"]
self.phase_count = max(self.phase_count, meter["phaseCount"])
# report phase configuration in envoy common property
self._set_common_properties()
# report DUAL or THREE PHASE feature for use by next updaters probe
if self.phase_count > 2:
self._supported_features |= SupportedFeatures.THREEPHASE
elif self.phase_count > 1:
self._supported_features |= SupportedFeatures.DUALPHASE
# Signal CTMETERS feature back so update will get used if we found ctmeters
if self.ct_meters_count > 0:
self._supported_features |= SupportedFeatures.CTMETERS
return self._supported_features
async def update(self, envoy_data: EnvoyData) -> None:
"""
Update the Envoy data from the meters endpoints.
Get CT configuration from ivp/meters and CT readings from ivp/meters/readings.
Store EnvoyMeterData in ctmeters for any meters enabled during probe.
If more than one phase is active, store per-phase data in ctmeters_phases. Match data
in ivp/meters and ivp/meters/reading using the eid field in both datasets.
For backward compatibility, ctmeter_production/ctmeter_consumption/ctmeter_storage
and their phase equivalents are still set to reference the corresponding entries in
ctmeters[CtType] and ctmeters_phases[CtType].
:param envoy_data: EnvoyData structure to store data to
"""
# get the meter status and readings from the envoy
meters_status: list[CtMeterData] = await self._json_request(self.end_point)
meters_readings: list[dict[str, Any]] = await self._json_request(
self.data_end_point
)
envoy_data.raw[self.end_point] = meters_status
envoy_data.raw[self.data_end_point] = meters_readings
phase_range = self.phase_count if self.phase_count > 1 else 0
# no longer assume 2 lists are the same order and size. Size differs in fw 8.3.5025
status_by_eid = {ct["eid"]: ct for ct in meters_status}
for meter in meters_readings:
eid = meter["eid"]
if not (ct_status := status_by_eid.get(eid)):
# fw 8.3.5025 also has a 3rd entry for storage ct even if not configured
# and it has all zeros values. Ignore data if eid not in meter status
continue
# match meter identifier to one found during probe to identify production or consumption
if eid in self.meter_eids:
# if meter was enabled (eid known) store ctmeter data
envoy_data.ctmeters[meter_type := self.meter_eids[eid]] = (
EnvoyMeterData.from_api(meter, ct_status)
)
# if more than 1 phase is configured, store ctmeters phase data
if phase_data := _meter_data_for_phases(phase_range, meter, ct_status):
envoy_data.ctmeters_phases[meter_type] = phase_data
# Next part is for backward compatibility
# May plan to remove in some future breaking change version
if meter_type == CtType.PRODUCTION:
envoy_data.ctmeter_production = envoy_data.ctmeters[meter_type]
if phase_data:
envoy_data.ctmeter_production_phases = (
envoy_data.ctmeters_phases[meter_type]
)
elif meter_type in (
CtType.NET_CONSUMPTION,
CtType.TOTAL_CONSUMPTION,
):
envoy_data.ctmeter_consumption = envoy_data.ctmeters[meter_type]
if phase_data:
envoy_data.ctmeter_consumption_phases = (
envoy_data.ctmeters_phases[meter_type]
)
elif meter_type == CtType.STORAGE:
envoy_data.ctmeter_storage = envoy_data.ctmeters[meter_type]
if phase_data:
envoy_data.ctmeter_storage_phases = envoy_data.ctmeters_phases[
meter_type
]
# End of backward compatibility
def _meter_data_for_phases(
phase_range: int, meter: dict[str, Any], ct_data: CtMeterData
) -> dict[str, EnvoyMeterData]:
"""Build a dictionary of phase data for multi-phase setups."""
meter_data_by_phase: dict[str, EnvoyMeterData] = {
PHASENAMES[phase_idx]: data
for phase_idx in range(phase_range)
if (data := EnvoyMeterData.from_phase(meter, ct_data, phase_idx))
}
return meter_data_by_phase
pyenphase-pyenphase-901c49f/src/pyenphase/updaters/production.py 0000664 0000000 0000000 00000023617 15131663564 0025236 0 ustar 00root root 0000000 0000000 """Envoy production data updater"""
import logging
from typing import Any
from ..const import PHASENAMES, URL_PRODUCTION, URL_PRODUCTION_JSON, SupportedFeatures
from ..exceptions import ENDPOINT_PROBE_EXCEPTIONS, EnvoyAuthenticationRequired
from ..models.acb import EnvoyACBPower
from ..models.envoy import EnvoyData
from ..models.system_consumption import EnvoySystemConsumption
from ..models.system_production import EnvoySystemProduction
from .base import EnvoyUpdater
_LOGGER = logging.getLogger(__name__)
class EnvoyProductionUpdater(EnvoyUpdater):
"""Class to handle updates for production data."""
end_point = URL_PRODUCTION
allow_inverters_fallback = False
async def probe(
self, discovered_features: SupportedFeatures
) -> SupportedFeatures | None:
"""Probe the Envoy for this endpoint and return SupportedFeatures."""
discovered_total_consumption = (
SupportedFeatures.TOTAL_CONSUMPTION in discovered_features
)
discovered_net_consumption = (
SupportedFeatures.NET_CONSUMPTION in discovered_features
)
discovered_production = SupportedFeatures.PRODUCTION in discovered_features
# check if prior updaters reported supporting ACB
discovered_acb_storage = SupportedFeatures.ACB in discovered_features
# obtain any registered production endpoints that replied back from the common list
# when in allow_inverters_fallback mode we can use the first one that worked
working_endpoints: list[str] = self._common_properties.production_fallback_list
if (
discovered_total_consumption
and discovered_net_consumption
and discovered_production
):
# Already discovered from another updater
return None
# when active allow_inverters_fallback use first successful endpoint registered in the list
if self.allow_inverters_fallback and working_endpoints:
self.end_point = working_endpoints[0]
try:
production_json: dict[str, Any] = await self._json_probe_request(
self.end_point
)
except ENDPOINT_PROBE_EXCEPTIONS as e:
_LOGGER.debug("Production endpoint not found at %s: %s", self.end_point, e)
return None
except EnvoyAuthenticationRequired as e:
# For URL_PRODUCTION some systems return 401 even if the user has access
# to the endpoint. For URL_PRODUCTION_JSON some early non-metered V7 versions
# return 401 when using aiohttp. Non-metered fallback to v1 production anyway.
# if there's really no-auth the v1/production will catch it.
if self.end_point in (URL_PRODUCTION, URL_PRODUCTION_JSON):
_LOGGER.debug(
"Skipping production endpoint as user does"
" not have access to %s: %s",
self.end_point,
e,
)
return None
_LOGGER.debug( # pragma: no cover
"Authentication required for %s, re-raising exception: %s",
self.end_point,
e,
)
raise # pragma: no cover
active_phase_count = 0
phase_count = self._common_properties.phase_count
# if endpoint is not in the list of successful endpoints yet, add it.
if (
self.end_point not in working_endpoints
and not self.allow_inverters_fallback
):
working_endpoints.append(self.end_point)
if not discovered_production:
production: list[dict[str, Any]] | None = production_json.get("production")
if production:
for type_ in production:
if type_["type"] == "eim" and type_["activeCount"]:
self._supported_features |= SupportedFeatures.METERING
self._supported_features |= SupportedFeatures.PRODUCTION
if lines := type_.get("lines"):
active_phase_count = len(lines)
break
if (
self.allow_inverters_fallback
and type_["type"] == "inverters"
and type_["activeCount"]
):
self._supported_features |= SupportedFeatures.PRODUCTION
break
consumption: list[dict[str, Any]] | None = production_json.get("consumption")
if consumption:
for meter in consumption:
# first test activecount >0 before trying measurementType
if not meter.get("activeCount"):
continue
meter_type = meter["measurementType"]
if (
not discovered_total_consumption
and meter_type == "total-consumption"
):
self._supported_features |= SupportedFeatures.TOTAL_CONSUMPTION
if not discovered_net_consumption and meter_type == "net-consumption":
self._supported_features |= SupportedFeatures.NET_CONSUMPTION
if lines := meter.get("lines"):
active_phase_count = len(lines)
acb_storage: list[dict[str, Any]] | None = production_json.get("storage")
# if storage segment is present and activeCount > 0 then signal as detected
# only report we support ACB if no prior updater did
# only report first list element as that's where ACB data is
if (
acb_storage
and not discovered_acb_storage
and (acb_count := acb_storage[0].get("activeCount"))
):
# signal we can provide ACB data
self._supported_features |= SupportedFeatures.ACB
# save acb batt count in common properties so Ensemble can report combined soc
self._common_properties.acb_batteries_reported = acb_count
# register the updated fallback endpoints to the common list
self._common_properties.production_fallback_list = working_endpoints
self._common_properties.active_phase_count = active_phase_count
if active_phase_count != phase_count and phase_count > 1:
_LOGGER.debug(
"Expected Production report Phase values not available, %s of %s",
active_phase_count,
phase_count,
)
return self._supported_features
async def update(self, envoy_data: EnvoyData) -> None:
"""Update the Envoy for this endpoint."""
production_data = await self._json_request(self.end_point)
envoy_data.raw[self.end_point] = production_data
# get phase count from Envoy common features
phase_count = self._common_properties.phase_count
if self._supported_features & SupportedFeatures.PRODUCTION:
envoy_data.system_production = EnvoySystemProduction.from_production(
production_data
)
# get production phase data if more then 1 phase is found
phase_production: dict[str, EnvoySystemProduction | None] = {}
for phase in range(phase_count if phase_count > 1 else 0):
production: EnvoySystemProduction | None = (
EnvoySystemProduction.from_production_phase(production_data, phase)
)
# exclude None phases that are expected but not actually in production report
if production:
phase_production[PHASENAMES[phase]] = production
if len(phase_production) > 0:
envoy_data.system_production_phases = phase_production
if (
self._supported_features & SupportedFeatures.NET_CONSUMPTION
or self._supported_features & SupportedFeatures.TOTAL_CONSUMPTION
):
envoy_data.system_consumption = EnvoySystemConsumption.from_production(
production_data
)
envoy_data.system_net_consumption = EnvoySystemConsumption.from_production(
production_data, consumption_segment=1
)
# get consumption phase data if more then 1 phase is found
phase_consumption: dict[str, EnvoySystemConsumption | None] = {}
phase_net_consumption: dict[str, EnvoySystemConsumption | None] = {}
for phase in range(phase_count if phase_count > 1 else 0):
consumption: EnvoySystemConsumption | None = (
EnvoySystemConsumption.from_production_phase(production_data, phase)
)
# exclude None phases that are expected but not actually in production report
if consumption:
phase_consumption[PHASENAMES[phase]] = consumption
if net_consumption := (
EnvoySystemConsumption.from_production_phase(
production_data, phase, consumption_segment=1
)
):
phase_net_consumption[PHASENAMES[phase]] = net_consumption
if len(phase_consumption) > 0:
envoy_data.system_consumption_phases = phase_consumption
if len(phase_net_consumption) > 0:
envoy_data.system_net_consumption_phases = phase_net_consumption
if self._supported_features & SupportedFeatures.ACB:
envoy_data.acb_power = EnvoyACBPower.from_production(production_data)
class EnvoyProductionJsonUpdater(EnvoyProductionUpdater):
"""Class to handle updates for production data from the production.json endpoint."""
end_point = URL_PRODUCTION_JSON
class EnvoyProductionJsonFallbackUpdater(EnvoyProductionJsonUpdater):
"""
Class to handle updates for production data from the production.json endpoint.
This class will accept the production endpoint even if activeCount is 0
"""
allow_inverters_fallback = True
pyenphase-pyenphase-901c49f/src/pyenphase/updaters/tariff.py 0000664 0000000 0000000 00000003022 15131663564 0024307 0 ustar 00root root 0000000 0000000 import logging
from ..const import URL_TARIFF, SupportedFeatures
from ..exceptions import ENDPOINT_PROBE_EXCEPTIONS, EnvoyAuthenticationRequired
from ..models.envoy import EnvoyData
from ..models.tariff import EnvoyTariff
from .base import EnvoyUpdater
_LOGGER = logging.getLogger(__name__)
class EnvoyTariffUpdater(EnvoyUpdater):
"""Class to handle updates for the Envoy tariff data."""
async def probe(
self, discovered_features: SupportedFeatures
) -> SupportedFeatures | None:
try:
result = await self._json_probe_request(URL_TARIFF)
except ENDPOINT_PROBE_EXCEPTIONS as e:
_LOGGER.debug("Tariff endpoint not found: %s", e)
return None
except EnvoyAuthenticationRequired as e:
# For some systems (Firmware: 3.9.36) return 401 for
# this endpoint even if the user is authenticated.
_LOGGER.debug(
"Skipping tariff endpoint as user does not have access to %s: %s",
URL_TARIFF,
e,
)
return None
else:
if not result or "error" in result:
_LOGGER.debug("No tariff data found")
return None
self._supported_features |= SupportedFeatures.TARIFF
return self._supported_features
async def update(self, envoy_data: EnvoyData) -> None:
raw = await self._json_request(URL_TARIFF)
envoy_data.raw[URL_TARIFF] = raw
envoy_data.tariff = EnvoyTariff.from_api(raw["tariff"])
pyenphase-pyenphase-901c49f/tests/ 0000775 0000000 0000000 00000000000 15131663564 0017215 5 ustar 00root root 0000000 0000000 pyenphase-pyenphase-901c49f/tests/__init__.py 0000664 0000000 0000000 00000000000 15131663564 0021314 0 ustar 00root root 0000000 0000000 pyenphase-pyenphase-901c49f/tests/__snapshots__/ 0000775 0000000 0000000 00000000000 15131663564 0022033 5 ustar 00root root 0000000 0000000 pyenphase-pyenphase-901c49f/tests/__snapshots__/test_acb.ambr 0000664 0000000 0000000 00002006634 15131663564 0024475 0 ustar 00root root 0000000 0000000 # serializer version: 1
# name: test_with_7_x_firmware[4.10.35]
dict({
'acb_power': None,
'battery_aggregate': None,
'c6cc': None,
'collar': None,
'ctmeter_consumption': dict({
'active_power': 567,
'current': 8.389,
'eid': 704643584,
'energy_delivered': 16908209,
'energy_received': 17357690,
'frequency': 60.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': 0.5,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1695301419,
'voltage': 247.736,
}),
'ctmeter_consumption_phases': dict({
: dict({
'active_power': 394,
'current': 5.208,
'eid': 1778385425,
'energy_delivered': 10220652,
'energy_received': 8001772,
'frequency': 60.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': 0.549,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1695301419,
'voltage': 123.867,
}),
: dict({
'active_power': 173,
'current': 3.181,
'eid': 1778385426,
'energy_delivered': 6687557,
'energy_received': 9355918,
'frequency': 60.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': 0.426,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1695301419,
'voltage': 123.869,
}),
}),
'ctmeter_production': dict({
'active_power': 166,
'current': 3.692,
'eid': 704643328,
'energy_delivered': 26785327,
'energy_received': 0,
'frequency': 60.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.394,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1695301419,
'voltage': 247.659,
}),
'ctmeter_production_phases': dict({
: dict({
'active_power': 83,
'current': 1.844,
'eid': 1778385169,
'energy_delivered': 13398798,
'energy_received': 0,
'frequency': 60.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.4,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1695301419,
'voltage': 123.824,
}),
: dict({
'active_power': 84,
'current': 1.848,
'eid': 1778385170,
'energy_delivered': 13386530,
'energy_received': 0,
'frequency': 60.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.387,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1695301419,
'voltage': 123.836,
}),
}),
'ctmeter_storage': None,
'ctmeter_storage_phases': None,
'ctmeters': dict({
'net-consumption': dict({
'active_power': 567,
'current': 8.389,
'eid': 704643584,
'energy_delivered': 16908209,
'energy_received': 17357690,
'frequency': 60.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': 0.5,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1695301419,
'voltage': 247.736,
}),
'production': dict({
'active_power': 166,
'current': 3.692,
'eid': 704643328,
'energy_delivered': 26785327,
'energy_received': 0,
'frequency': 60.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.394,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1695301419,
'voltage': 247.659,
}),
}),
'ctmeters_phases': dict({
'net-consumption': dict({
: dict({
'active_power': 394,
'current': 5.208,
'eid': 1778385425,
'energy_delivered': 10220652,
'energy_received': 8001772,
'frequency': 60.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': 0.549,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1695301419,
'voltage': 123.867,
}),
: dict({
'active_power': 173,
'current': 3.181,
'eid': 1778385426,
'energy_delivered': 6687557,
'energy_received': 9355918,
'frequency': 60.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': 0.426,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1695301419,
'voltage': 123.869,
}),
}),
'production': dict({
: dict({
'active_power': 83,
'current': 1.844,
'eid': 1778385169,
'energy_delivered': 13398798,
'energy_received': 0,
'frequency': 60.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.4,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1695301419,
'voltage': 123.824,
}),
: dict({
'active_power': 84,
'current': 1.848,
'eid': 1778385170,
'energy_delivered': 13386530,
'energy_received': 0,
'frequency': 60.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.387,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1695301419,
'voltage': 123.836,
}),
}),
}),
'dry_contact_settings': dict({
}),
'dry_contact_status': dict({
}),
'encharge_aggregate': None,
'encharge_inventory': None,
'encharge_power': None,
'enpower': None,
'inverters': dict({
'122002010484': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1695301305,
'last_report_duration': None,
'last_report_watts': 13,
'lifetime_energy': None,
'max_report_watts': 300,
'serial_number': '122002010484',
'temperature': None,
}),
'122002010488': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1695301325,
'last_report_duration': None,
'last_report_watts': 13,
'lifetime_energy': None,
'max_report_watts': 305,
'serial_number': '122002010488',
'temperature': None,
}),
'122002010489': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1695301317,
'last_report_duration': None,
'last_report_watts': 13,
'lifetime_energy': None,
'max_report_watts': 306,
'serial_number': '122002010489',
'temperature': None,
}),
'122002010577': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1695301322,
'last_report_duration': None,
'last_report_watts': 13,
'lifetime_energy': None,
'max_report_watts': 305,
'serial_number': '122002010577',
'temperature': None,
}),
'122002011248': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1695301330,
'last_report_duration': None,
'last_report_watts': 13,
'lifetime_energy': None,
'max_report_watts': 227,
'serial_number': '122002011248',
'temperature': None,
}),
'122002017614': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1695301321,
'last_report_duration': None,
'last_report_watts': 13,
'lifetime_energy': None,
'max_report_watts': 294,
'serial_number': '122002017614',
'temperature': None,
}),
'122002017669': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1695301327,
'last_report_duration': None,
'last_report_watts': 12,
'lifetime_energy': None,
'max_report_watts': 305,
'serial_number': '122002017669',
'temperature': None,
}),
'122002021078': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1695301323,
'last_report_duration': None,
'last_report_watts': 12,
'lifetime_energy': None,
'max_report_watts': 306,
'serial_number': '122002021078',
'temperature': None,
}),
'122002021258': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1695301327,
'last_report_duration': None,
'last_report_watts': 13,
'lifetime_energy': None,
'max_report_watts': 305,
'serial_number': '122002021258',
'temperature': None,
}),
'122002021381': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1695301308,
'last_report_duration': None,
'last_report_watts': 13,
'lifetime_energy': None,
'max_report_watts': 305,
'serial_number': '122002021381',
'temperature': None,
}),
'122002026181': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1695301309,
'last_report_duration': None,
'last_report_watts': 13,
'lifetime_energy': None,
'max_report_watts': 287,
'serial_number': '122002026181',
'temperature': None,
}),
'122002026190': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1695301313,
'last_report_duration': None,
'last_report_watts': 13,
'lifetime_energy': None,
'max_report_watts': 289,
'serial_number': '122002026190',
'temperature': None,
}),
'122002027876': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1695301332,
'last_report_duration': None,
'last_report_watts': 13,
'lifetime_energy': None,
'max_report_watts': 306,
'serial_number': '122002027876',
'temperature': None,
}),
'122002040286': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1695301314,
'last_report_duration': None,
'last_report_watts': 13,
'lifetime_energy': None,
'max_report_watts': 299,
'serial_number': '122002040286',
'temperature': None,
}),
'122002041618': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1695301318,
'last_report_duration': None,
'last_report_watts': 13,
'lifetime_energy': None,
'max_report_watts': 292,
'serial_number': '122002041618',
'temperature': None,
}),
'122002041621': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1695301310,
'last_report_duration': None,
'last_report_watts': 13,
'lifetime_energy': None,
'max_report_watts': 197,
'serial_number': '122002041621',
'temperature': None,
}),
'122002041626': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1695301330,
'last_report_duration': None,
'last_report_watts': 13,
'lifetime_energy': None,
'max_report_watts': 306,
'serial_number': '122002041626',
'temperature': None,
}),
'122002041636': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1695301319,
'last_report_duration': None,
'last_report_watts': 13,
'lifetime_energy': None,
'max_report_watts': 300,
'serial_number': '122002041636',
'temperature': None,
}),
'122002041638': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1695301314,
'last_report_duration': None,
'last_report_watts': 13,
'lifetime_energy': None,
'max_report_watts': 296,
'serial_number': '122002041638',
'temperature': None,
}),
}),
'raw': dict({
'/admin/lib/tariff': dict({
'schedule': dict({
'date': '2023-05-11 19:46:56 UTC',
'source': 'Tariff',
'version': '00.00.01',
}),
'tariff': dict({
'currency': dict({
'code': 'USD',
}),
'seasons': list([
dict({
'days': list([
]),
'id': 'season_1',
'start': '1/1',
'tiers': list([
dict({
'id': 'tier_1',
'limit': 500,
'rate': 0.21835,
}),
dict({
'id': 'tier_2',
'limit': 1200,
'rate': 0.19587,
}),
dict({
'id': 'tier_3',
'limit': -1,
'rate': 0.15798,
}),
]),
}),
]),
'single_rate': dict({
'rate': 0.21835,
}),
}),
}),
'/api/v1/production/inverters': list([
dict({
'devType': 1,
'lastReportDate': 1695301309,
'lastReportWatts': 13,
'maxReportWatts': 287,
'serialNumber': '122002026181',
}),
dict({
'devType': 1,
'lastReportDate': 1695301314,
'lastReportWatts': 13,
'maxReportWatts': 299,
'serialNumber': '122002040286',
}),
dict({
'devType': 1,
'lastReportDate': 1695301305,
'lastReportWatts': 13,
'maxReportWatts': 300,
'serialNumber': '122002010484',
}),
dict({
'devType': 1,
'lastReportDate': 1695301313,
'lastReportWatts': 13,
'maxReportWatts': 289,
'serialNumber': '122002026190',
}),
dict({
'devType': 1,
'lastReportDate': 1695301318,
'lastReportWatts': 13,
'maxReportWatts': 292,
'serialNumber': '122002041618',
}),
dict({
'devType': 1,
'lastReportDate': 1695301327,
'lastReportWatts': 13,
'maxReportWatts': 305,
'serialNumber': '122002021258',
}),
dict({
'devType': 1,
'lastReportDate': 1695301325,
'lastReportWatts': 13,
'maxReportWatts': 305,
'serialNumber': '122002010488',
}),
dict({
'devType': 1,
'lastReportDate': 1695301330,
'lastReportWatts': 13,
'maxReportWatts': 306,
'serialNumber': '122002041626',
}),
dict({
'devType': 1,
'lastReportDate': 1695301327,
'lastReportWatts': 12,
'maxReportWatts': 305,
'serialNumber': '122002017669',
}),
dict({
'devType': 1,
'lastReportDate': 1695301321,
'lastReportWatts': 13,
'maxReportWatts': 294,
'serialNumber': '122002017614',
}),
dict({
'devType': 1,
'lastReportDate': 1695301332,
'lastReportWatts': 13,
'maxReportWatts': 306,
'serialNumber': '122002027876',
}),
dict({
'devType': 1,
'lastReportDate': 1695301330,
'lastReportWatts': 13,
'maxReportWatts': 227,
'serialNumber': '122002011248',
}),
dict({
'devType': 1,
'lastReportDate': 1695301323,
'lastReportWatts': 12,
'maxReportWatts': 306,
'serialNumber': '122002021078',
}),
dict({
'devType': 1,
'lastReportDate': 1695301308,
'lastReportWatts': 13,
'maxReportWatts': 305,
'serialNumber': '122002021381',
}),
dict({
'devType': 1,
'lastReportDate': 1695301314,
'lastReportWatts': 13,
'maxReportWatts': 296,
'serialNumber': '122002041638',
}),
dict({
'devType': 1,
'lastReportDate': 1695301319,
'lastReportWatts': 13,
'maxReportWatts': 300,
'serialNumber': '122002041636',
}),
dict({
'devType': 1,
'lastReportDate': 1695301310,
'lastReportWatts': 13,
'maxReportWatts': 197,
'serialNumber': '122002041621',
}),
dict({
'devType': 1,
'lastReportDate': 1695301317,
'lastReportWatts': 13,
'maxReportWatts': 306,
'serialNumber': '122002010489',
}),
dict({
'devType': 1,
'lastReportDate': 1695301322,
'lastReportWatts': 13,
'maxReportWatts': 305,
'serialNumber': '122002010577',
}),
]),
'/ivp/meters': list([
dict({
'eid': 704643328,
'measurementType': 'production',
'meteringStatus': 'normal',
'phaseCount': 2,
'phaseMode': 'split',
'state': 'enabled',
'statusFlags': list([
]),
}),
dict({
'eid': 704643584,
'measurementType': 'net-consumption',
'meteringStatus': 'normal',
'phaseCount': 2,
'phaseMode': 'split',
'state': 'enabled',
'statusFlags': list([
]),
}),
]),
'/ivp/meters/readings': list([
dict({
'actEnergyDlvd': 26785327.449,
'actEnergyRcvd': 0.001,
'activePower': 166.489,
'apparentEnergy': 33655488.016,
'apparentPower': 457.211,
'channels': list([
dict({
'actEnergyDlvd': 13398797.544,
'actEnergyRcvd': 0.001,
'activePower': 82.913,
'apparentEnergy': 16836537.224,
'apparentPower': 228.406,
'current': 1.844,
'eid': 1778385169,
'freq': 60.0,
'instantaneousDemand': 82.913,
'pwrFactor': 0.4,
'reactEnergyLagg': 5169167.875,
'reactEnergyLead': 0.0,
'reactivePower': 191.751,
'timestamp': 1695301419,
'voltage': 123.824,
}),
dict({
'actEnergyDlvd': 13386529.904,
'actEnergyRcvd': 0.0,
'activePower': 83.576,
'apparentEnergy': 16818950.792,
'apparentPower': 228.804,
'current': 1.848,
'eid': 1778385170,
'freq': 60.0,
'instantaneousDemand': 83.576,
'pwrFactor': 0.387,
'reactEnergyLagg': 5122825.568,
'reactEnergyLead': 0.001,
'reactivePower': 191.574,
'timestamp': 1695301419,
'voltage': 123.836,
}),
dict({
'actEnergyDlvd': 0.0,
'actEnergyRcvd': 0.0,
'activePower': 0.0,
'apparentEnergy': 0.0,
'apparentPower': 0.0,
'current': 0.0,
'eid': 1778385171,
'freq': 60.0,
'instantaneousDemand': 0.0,
'pwrFactor': 0.0,
'reactEnergyLagg': 0.0,
'reactEnergyLead': 0.0,
'reactivePower': 0.0,
'timestamp': 1695301419,
'voltage': 0.0,
}),
]),
'current': 3.692,
'eid': 704643328,
'freq': 60.0,
'instantaneousDemand': 166.489,
'pwrFactor': 0.394,
'reactEnergyLagg': 10291993.443,
'reactEnergyLead': 0.001,
'reactivePower': 383.325,
'timestamp': 1695301419,
'voltage': 247.659,
}),
dict({
'actEnergyDlvd': 16908208.78,
'actEnergyRcvd': 17357690.272,
'activePower': 566.864,
'apparentEnergy': 41943778.605,
'apparentPower': 1063.035,
'channels': list([
dict({
'actEnergyDlvd': 10220652.219,
'actEnergyRcvd': 8001771.78,
'activePower': 393.965,
'apparentEnergy': 22610499.739,
'apparentPower': 668.739,
'current': 5.208,
'eid': 1778385425,
'freq': 60.0,
'instantaneousDemand': 393.965,
'pwrFactor': 0.549,
'reactEnergyLagg': 87750.153,
'reactEnergyLead': 7841689.25,
'reactivePower': -337.072,
'timestamp': 1695301419,
'voltage': 123.867,
}),
dict({
'actEnergyDlvd': 6687556.561,
'actEnergyRcvd': 9355918.492,
'activePower': 172.899,
'apparentEnergy': 19333278.866,
'apparentPower': 394.296,
'current': 3.181,
'eid': 1778385426,
'freq': 60.0,
'instantaneousDemand': 172.899,
'pwrFactor': 0.426,
'reactEnergyLagg': 455469.296,
'reactEnergyLead': 5687697.556,
'reactivePower': -243.946,
'timestamp': 1695301419,
'voltage': 123.869,
}),
dict({
'actEnergyDlvd': 0.0,
'actEnergyRcvd': 0.0,
'activePower': 0.0,
'apparentEnergy': 0.0,
'apparentPower': 0.0,
'current': 0.0,
'eid': 1778385427,
'freq': 60.0,
'instantaneousDemand': 0.0,
'pwrFactor': 0.0,
'reactEnergyLagg': 0.0,
'reactEnergyLead': 0.0,
'reactivePower': 0.0,
'timestamp': 1695301419,
'voltage': 0.0,
}),
]),
'current': 8.389,
'eid': 704643584,
'freq': 60.0,
'instantaneousDemand': 566.864,
'pwrFactor': 0.5,
'reactEnergyLagg': 543219.449,
'reactEnergyLead': 13529386.807,
'reactivePower': -581.018,
'timestamp': 1695301419,
'voltage': 247.736,
}),
]),
'/production.json?details=1': dict({
'consumption': list([
dict({
'activeCount': 1,
'apprntPwr': 3189.788,
'measurementType': 'total-consumption',
'pwrFactor': 0.25,
'reactPwr': -959.115,
'readingTime': 1695301418,
'rmsCurrent': 12.88,
'rmsVoltage': 247.663,
'type': 'eim',
'vahLifetime': 41943777.997,
'vahToday': 9709.997,
'varhLagLifetime': 10835212.67,
'varhLagToday': 3120.67,
'varhLeadLifetime': 13529386.465,
'varhLeadToday': 4281.465,
'wNow': 806.405,
'whLastSevenDays': 163075.411,
'whLifetime': 26335790.411,
'whToday': 7412.411,
}),
dict({
'activeCount': 1,
'apprntPwr': 1155.626,
'measurementType': 'net-consumption',
'pwrFactor': 0.53,
'reactPwr': -577.46,
'readingTime': 1695301418,
'rmsCurrent': 9.195,
'rmsVoltage': 247.696,
'type': 'eim',
'vahLifetime': 41943777.997,
'vahToday': 0,
'varhLagLifetime': 543219.449,
'varhLagToday': 0,
'varhLeadLifetime': 13529386.464,
'varhLeadToday': 0,
'wNow': 640.874,
'whLastSevenDays': 0,
'whLifetime': 16908208.46,
'whToday': 0,
}),
]),
'production': list([
dict({
'activeCount': 19,
'readingTime': 1695301333,
'type': 'inverters',
'wNow': 246,
'whLifetime': 26890410,
}),
dict({
'activeCount': 1,
'apprntPwr': 457.492,
'measurementType': 'production',
'pwrFactor': 0.35,
'reactPwr': 381.654,
'readingTime': 1695301418,
'rmsCurrent': 3.685,
'rmsVoltage': 247.631,
'type': 'eim',
'vahLifetime': 33655487.75,
'vahToday': 3288.75,
'varhLagLifetime': 10291993.22,
'varhLagToday': 3108.22,
'varhLeadLifetime': 0.001,
'varhLeadToday': 0.001,
'wNow': 165.53,
'whLastSevenDays': 179155.351,
'whLifetime': 26785327.351,
'whToday': 139.351,
}),
]),
'storage': list([
dict({
'activeCount': 0,
'readingTime': 0,
'state': 'idle',
'type': 'acb',
'wNow': 0,
'whNow': 0,
}),
]),
}),
}),
'system_consumption': dict({
'watt_hours_last_7_days': 163075,
'watt_hours_lifetime': 26335790,
'watt_hours_today': 7412,
'watts_now': 806,
}),
'system_consumption_phases': None,
'system_net_consumption': dict({
'watt_hours_last_7_days': 0,
'watt_hours_lifetime': 16908208,
'watt_hours_today': 0,
'watts_now': 641,
}),
'system_net_consumption_phases': None,
'system_production': dict({
'watt_hours_last_7_days': 179155,
'watt_hours_lifetime': 26785327,
'watt_hours_today': 139,
'watts_now': 166,
}),
'system_production_phases': None,
'tariff': dict({
'currency': dict({
'code': 'USD',
}),
'date': None,
'logger': None,
'seasons': list([
dict({
'days': list([
]),
'id': 'season_1',
'start': '1/1',
'tiers': list([
dict({
'id': 'tier_1',
'limit': 500,
'rate': 0.21835,
}),
dict({
'id': 'tier_2',
'limit': 1200,
'rate': 0.19587,
}),
dict({
'id': 'tier_3',
'limit': -1,
'rate': 0.15798,
}),
]),
}),
]),
'seasons_sell': None,
'single_rate': dict({
'rate': 0.21835,
}),
'storage_settings': None,
}),
})
# ---
# name: test_with_7_x_firmware[7.3.130]
dict({
'acb_power': None,
'battery_aggregate': None,
'c6cc': None,
'collar': None,
'ctmeter_consumption': None,
'ctmeter_consumption_phases': None,
'ctmeter_production': None,
'ctmeter_production_phases': None,
'ctmeter_storage': None,
'ctmeter_storage_phases': None,
'ctmeters': dict({
}),
'ctmeters_phases': dict({
}),
'dry_contact_settings': dict({
}),
'dry_contact_status': dict({
}),
'encharge_aggregate': None,
'encharge_inventory': None,
'encharge_power': None,
'enpower': None,
'inverters': dict({
'202218023114': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1691342554,
'last_report_duration': None,
'last_report_watts': 14,
'lifetime_energy': None,
'max_report_watts': 346,
'serial_number': '202218023114',
'temperature': None,
}),
'202218024705': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1691342553,
'last_report_duration': None,
'last_report_watts': 8,
'lifetime_energy': None,
'max_report_watts': 345,
'serial_number': '202218024705',
'temperature': None,
}),
'202218025399': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1691342465,
'last_report_duration': None,
'last_report_watts': 10,
'lifetime_energy': None,
'max_report_watts': 350,
'serial_number': '202218025399',
'temperature': None,
}),
'202218026521': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1691342464,
'last_report_duration': None,
'last_report_watts': 9,
'lifetime_energy': None,
'max_report_watts': 347,
'serial_number': '202218026521',
'temperature': None,
}),
'202218028926': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1691342462,
'last_report_duration': None,
'last_report_watts': 17,
'lifetime_energy': None,
'max_report_watts': 346,
'serial_number': '202218028926',
'temperature': None,
}),
'202218029586': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1691342643,
'last_report_duration': None,
'last_report_watts': 12,
'lifetime_energy': None,
'max_report_watts': 347,
'serial_number': '202218029586',
'temperature': None,
}),
'202218031593': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1691342674,
'last_report_duration': None,
'last_report_watts': 20,
'lifetime_energy': None,
'max_report_watts': 348,
'serial_number': '202218031593',
'temperature': None,
}),
'202218034002': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1691342555,
'last_report_duration': None,
'last_report_watts': 14,
'lifetime_energy': None,
'max_report_watts': 345,
'serial_number': '202218034002',
'temperature': None,
}),
'202218035988': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1691342613,
'last_report_duration': None,
'last_report_watts': 17,
'lifetime_energy': None,
'max_report_watts': 348,
'serial_number': '202218035988',
'temperature': None,
}),
'202218036214': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1691342432,
'last_report_duration': None,
'last_report_watts': 13,
'lifetime_energy': None,
'max_report_watts': 347,
'serial_number': '202218036214',
'temperature': None,
}),
'202218036386': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1691342584,
'last_report_duration': None,
'last_report_watts': 9,
'lifetime_energy': None,
'max_report_watts': 346,
'serial_number': '202218036386',
'temperature': None,
}),
'202218037990': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1691342525,
'last_report_duration': None,
'last_report_watts': 16,
'lifetime_energy': None,
'max_report_watts': 348,
'serial_number': '202218037990',
'temperature': None,
}),
}),
'raw': dict({
'/api/v1/production/inverters': list([
dict({
'devType': 1,
'lastReportDate': 1691342432,
'lastReportWatts': 13,
'maxReportWatts': 347,
'serialNumber': '202218036214',
}),
dict({
'devType': 1,
'lastReportDate': 1691342462,
'lastReportWatts': 17,
'maxReportWatts': 346,
'serialNumber': '202218028926',
}),
dict({
'devType': 1,
'lastReportDate': 1691342643,
'lastReportWatts': 12,
'maxReportWatts': 347,
'serialNumber': '202218029586',
}),
dict({
'devType': 1,
'lastReportDate': 1691342613,
'lastReportWatts': 17,
'maxReportWatts': 348,
'serialNumber': '202218035988',
}),
dict({
'devType': 1,
'lastReportDate': 1691342553,
'lastReportWatts': 8,
'maxReportWatts': 345,
'serialNumber': '202218024705',
}),
dict({
'devType': 1,
'lastReportDate': 1691342554,
'lastReportWatts': 14,
'maxReportWatts': 346,
'serialNumber': '202218023114',
}),
dict({
'devType': 1,
'lastReportDate': 1691342525,
'lastReportWatts': 16,
'maxReportWatts': 348,
'serialNumber': '202218037990',
}),
dict({
'devType': 1,
'lastReportDate': 1691342555,
'lastReportWatts': 14,
'maxReportWatts': 345,
'serialNumber': '202218034002',
}),
dict({
'devType': 1,
'lastReportDate': 1691342464,
'lastReportWatts': 9,
'maxReportWatts': 347,
'serialNumber': '202218026521',
}),
dict({
'devType': 1,
'lastReportDate': 1691342465,
'lastReportWatts': 10,
'maxReportWatts': 350,
'serialNumber': '202218025399',
}),
dict({
'devType': 1,
'lastReportDate': 1691342584,
'lastReportWatts': 9,
'maxReportWatts': 346,
'serialNumber': '202218036386',
}),
dict({
'devType': 1,
'lastReportDate': 1691342674,
'lastReportWatts': 20,
'maxReportWatts': 348,
'serialNumber': '202218031593',
}),
]),
'/production.json?details=1': dict({
'consumption': list([
dict({
'activeCount': 1,
'apprntPwr': 5108.445,
'measurementType': 'total-consumption',
'pwrFactor': 0.27,
'reactPwr': -1565.844,
'readingTime': 1691342712,
'rmsCurrent': 21.153,
'rmsVoltage': 241.499,
'type': 'eim',
'vahLifetime': 14686267.589,
'vahToday': 22482.589,
'varhLagLifetime': 998203.693,
'varhLagToday': 1456.693,
'varhLeadLifetime': 10691664.429,
'varhLeadToday': 13981.429,
'wNow': 1393.191,
'whLastSevenDays': 365473.825,
'whLifetime': 10154380.825,
'whToday': 15177.825,
}),
dict({
'activeCount': 1,
'apprntPwr': 2118.15,
'measurementType': 'net-consumption',
'pwrFactor': 0.59,
'reactPwr': -1596.082,
'readingTime': 1691342712,
'rmsCurrent': 17.572,
'rmsVoltage': 241.437,
'type': 'eim',
'vahLifetime': 14686267.589,
'vahToday': 0,
'varhLagLifetime': 258967.196,
'varhLagToday': 0,
'varhLeadLifetime': 10652517.939,
'varhLeadToday': 0,
'wNow': 1214.696,
'whLastSevenDays': 0,
'whLifetime': 7116675.502,
'whToday': 0,
}),
]),
'production': list([
dict({
'activeCount': 12,
'readingTime': 1691342674,
'type': 'inverters',
'wNow': 158,
'whLifetime': 142373,
}),
dict({
'activeCount': 1,
'apprntPwr': 432.848,
'measurementType': 'production',
'pwrFactor': 0.41,
'reactPwr': -30.238,
'readingTime': 1691342712,
'rmsCurrent': 3.581,
'rmsVoltage': 241.56,
'type': 'eim',
'vahLifetime': 4846260.619,
'vahToday': 1977.619,
'varhLagLifetime': 739236.497,
'varhLagToday': 1457.497,
'varhLeadLifetime': 39146.49,
'varhLeadToday': 40.49,
'wNow': 178.495,
'whLastSevenDays': 149972.105,
'whLifetime': 3659506.105,
'whToday': 86.105,
}),
]),
'storage': list([
dict({
'activeCount': 0,
'readingTime': 0,
'state': 'idle',
'type': 'acb',
'wNow': 0,
'whNow': 0,
}),
]),
}),
}),
'system_consumption': dict({
'watt_hours_last_7_days': 365474,
'watt_hours_lifetime': 10154381,
'watt_hours_today': 15178,
'watts_now': 1393,
}),
'system_consumption_phases': None,
'system_net_consumption': dict({
'watt_hours_last_7_days': 0,
'watt_hours_lifetime': 7116676,
'watt_hours_today': 0,
'watts_now': 1215,
}),
'system_net_consumption_phases': None,
'system_production': dict({
'watt_hours_last_7_days': 149972,
'watt_hours_lifetime': 3659506,
'watt_hours_today': 86,
'watts_now': 178,
}),
'system_production_phases': None,
'tariff': None,
})
# ---
# name: test_with_7_x_firmware[7.3.130_no_consumption]
dict({
'acb_power': None,
'battery_aggregate': None,
'c6cc': None,
'collar': None,
'ctmeter_consumption': None,
'ctmeter_consumption_phases': None,
'ctmeter_production': dict({
'active_power': 3625,
'current': 30.223,
'eid': 704643328,
'energy_delivered': 4545930,
'energy_received': 1,
'frequency': 60.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.988,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1694549733,
'voltage': 241.696,
}),
'ctmeter_production_phases': dict({
: dict({
'active_power': 1811,
'current': 15.11,
'eid': 1778385169,
'energy_delivered': 2271794,
'energy_received': 0,
'frequency': 60.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.988,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1694549733,
'voltage': 120.749,
}),
: dict({
'active_power': 1814,
'current': 15.113,
'eid': 1778385170,
'energy_delivered': 2274136,
'energy_received': 0,
'frequency': 60.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.988,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1694549733,
'voltage': 120.946,
}),
}),
'ctmeter_storage': None,
'ctmeter_storage_phases': None,
'ctmeters': dict({
'production': dict({
'active_power': 3625,
'current': 30.223,
'eid': 704643328,
'energy_delivered': 4545930,
'energy_received': 1,
'frequency': 60.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.988,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1694549733,
'voltage': 241.696,
}),
}),
'ctmeters_phases': dict({
'production': dict({
: dict({
'active_power': 1811,
'current': 15.11,
'eid': 1778385169,
'energy_delivered': 2271794,
'energy_received': 0,
'frequency': 60.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.988,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1694549733,
'voltage': 120.749,
}),
: dict({
'active_power': 1814,
'current': 15.113,
'eid': 1778385170,
'energy_delivered': 2274136,
'energy_received': 0,
'frequency': 60.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.988,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1694549733,
'voltage': 120.946,
}),
}),
}),
'dry_contact_settings': dict({
}),
'dry_contact_status': dict({
}),
'encharge_aggregate': None,
'encharge_inventory': None,
'encharge_power': None,
'enpower': None,
'inverters': dict({
'202302072076': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1694549623,
'last_report_duration': None,
'last_report_watts': 271,
'lifetime_energy': None,
'max_report_watts': 300,
'serial_number': '202302072076',
'temperature': None,
}),
'202302073177': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1694549622,
'last_report_duration': None,
'last_report_watts': 271,
'lifetime_energy': None,
'max_report_watts': 299,
'serial_number': '202302073177',
'temperature': None,
}),
'202302073203': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1694549592,
'last_report_duration': None,
'last_report_watts': 276,
'lifetime_energy': None,
'max_report_watts': 301,
'serial_number': '202302073203',
'temperature': None,
}),
'202302073606': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1694549655,
'last_report_duration': None,
'last_report_watts': 269,
'lifetime_energy': None,
'max_report_watts': 300,
'serial_number': '202302073606',
'temperature': None,
}),
'202302074252': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1694549653,
'last_report_duration': None,
'last_report_watts': 269,
'lifetime_energy': None,
'max_report_watts': 300,
'serial_number': '202302074252',
'temperature': None,
}),
'202302075515': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1694549531,
'last_report_duration': None,
'last_report_watts': 284,
'lifetime_energy': None,
'max_report_watts': 300,
'serial_number': '202302075515',
'temperature': None,
}),
'202302076392': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1694549625,
'last_report_duration': None,
'last_report_watts': 271,
'lifetime_energy': None,
'max_report_watts': 301,
'serial_number': '202302076392',
'temperature': None,
}),
'202302076838': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1694549652,
'last_report_duration': None,
'last_report_watts': 266,
'lifetime_energy': None,
'max_report_watts': 300,
'serial_number': '202302076838',
'temperature': None,
}),
'202302077015': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1694549626,
'last_report_duration': None,
'last_report_watts': 269,
'lifetime_energy': None,
'max_report_watts': 300,
'serial_number': '202302077015',
'temperature': None,
}),
'202302077415': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1694549654,
'last_report_duration': None,
'last_report_watts': 266,
'lifetime_energy': None,
'max_report_watts': 300,
'serial_number': '202302077415',
'temperature': None,
}),
'202302077506': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1694549561,
'last_report_duration': None,
'last_report_watts': 283,
'lifetime_energy': None,
'max_report_watts': 300,
'serial_number': '202302077506',
'temperature': None,
}),
'202302077890': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1694549594,
'last_report_duration': None,
'last_report_watts': 276,
'lifetime_energy': None,
'max_report_watts': 300,
'serial_number': '202302077890',
'temperature': None,
}),
'482236040239': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1694549628,
'last_report_duration': None,
'last_report_watts': 272,
'lifetime_energy': None,
'max_report_watts': 300,
'serial_number': '482236040239',
'temperature': None,
}),
'482236040258': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1694549627,
'last_report_duration': None,
'last_report_watts': 273,
'lifetime_energy': None,
'max_report_watts': 300,
'serial_number': '482236040258',
'temperature': None,
}),
'482236040746': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1694549624,
'last_report_duration': None,
'last_report_watts': 270,
'lifetime_energy': None,
'max_report_watts': 300,
'serial_number': '482236040746',
'temperature': None,
}),
}),
'raw': dict({
'/admin/lib/tariff': dict({
'schedule': dict({
'battery_mode': 'self-consumption',
'charge_from_grid': False,
'date': '2023-07-09 22:07:02 UTC',
'operation_mode_sub_type': '',
'override': False,
'override_backup_soc': 30.0,
'override_chg_dischg_rate': 0.0,
'override_tou_mode': 'StorageTouMode_DEFAULT_TOU_MODE',
'reserved_soc': 0.0,
'schedule': dict({
'Disable': list([
dict({
'Sun': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Mon': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Tue': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Wed': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Thu': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Fri': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Sat': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
]),
'tariff': list([
dict({
'Fri': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Mon': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Sat': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Sun': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Thu': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Tue': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Wed': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'end': '1/1',
'start': '1/1',
}),
]),
}),
'source': 'Tariff',
'version': '00.00.02',
'very_low_soc': 5,
}),
'tariff': dict({
'currency': dict({
'code': 'USD',
}),
'date': '1680547193',
'logger': 'mylogger',
'seasons': list([
dict({
'days': list([
]),
'id': 'season_1',
'start': '1/1',
'tiers': list([
dict({
'id': 'tier_1',
'limit': 1000,
'rate': 0.15128,
}),
dict({
'id': 'tier_2',
'limit': -1,
'rate': 0.1585,
}),
]),
}),
]),
'seasons_sell': list([
]),
'single_rate': dict({
'rate': 0.15128,
'sell': 0.0,
}),
'storage_settings': dict({
'charge_from_grid': False,
'date': '1680547193',
'mode': 'self-consumption',
'operation_mode_sub_type': '',
'reserved_soc': 0.0,
'very_low_soc': 5,
}),
}),
}),
'/api/v1/production/inverters': list([
dict({
'devType': 1,
'lastReportDate': 1694549622,
'lastReportWatts': 271,
'maxReportWatts': 299,
'serialNumber': '202302073177',
}),
dict({
'devType': 1,
'lastReportDate': 1694549623,
'lastReportWatts': 271,
'maxReportWatts': 300,
'serialNumber': '202302072076',
}),
dict({
'devType': 1,
'lastReportDate': 1694549592,
'lastReportWatts': 276,
'maxReportWatts': 301,
'serialNumber': '202302073203',
}),
dict({
'devType': 1,
'lastReportDate': 1694549531,
'lastReportWatts': 284,
'maxReportWatts': 300,
'serialNumber': '202302075515',
}),
dict({
'devType': 1,
'lastReportDate': 1694549624,
'lastReportWatts': 270,
'maxReportWatts': 300,
'serialNumber': '482236040746',
}),
dict({
'devType': 1,
'lastReportDate': 1694549625,
'lastReportWatts': 271,
'maxReportWatts': 301,
'serialNumber': '202302076392',
}),
dict({
'devType': 1,
'lastReportDate': 1694549561,
'lastReportWatts': 283,
'maxReportWatts': 300,
'serialNumber': '202302077506',
}),
dict({
'devType': 1,
'lastReportDate': 1694549626,
'lastReportWatts': 269,
'maxReportWatts': 300,
'serialNumber': '202302077015',
}),
dict({
'devType': 1,
'lastReportDate': 1694549652,
'lastReportWatts': 266,
'maxReportWatts': 300,
'serialNumber': '202302076838',
}),
dict({
'devType': 1,
'lastReportDate': 1694549627,
'lastReportWatts': 273,
'maxReportWatts': 300,
'serialNumber': '482236040258',
}),
dict({
'devType': 1,
'lastReportDate': 1694549594,
'lastReportWatts': 276,
'maxReportWatts': 300,
'serialNumber': '202302077890',
}),
dict({
'devType': 1,
'lastReportDate': 1694549653,
'lastReportWatts': 269,
'maxReportWatts': 300,
'serialNumber': '202302074252',
}),
dict({
'devType': 1,
'lastReportDate': 1694549654,
'lastReportWatts': 266,
'maxReportWatts': 300,
'serialNumber': '202302077415',
}),
dict({
'devType': 1,
'lastReportDate': 1694549628,
'lastReportWatts': 272,
'maxReportWatts': 300,
'serialNumber': '482236040239',
}),
dict({
'devType': 1,
'lastReportDate': 1694549655,
'lastReportWatts': 269,
'maxReportWatts': 300,
'serialNumber': '202302073606',
}),
]),
'/ivp/meters': list([
dict({
'eid': 704643328,
'measurementType': 'production',
'meteringStatus': 'normal',
'phaseCount': 2,
'phaseMode': 'split',
'state': 'enabled',
'statusFlags': list([
]),
}),
dict({
'eid': 704643584,
'measurementType': 'net-consumption',
'meteringStatus': 'normal',
'phaseCount': 2,
'phaseMode': 'split',
'state': 'disabled',
'statusFlags': list([
]),
}),
]),
'/ivp/meters/readings': list([
dict({
'actEnergyDlvd': 4545929.53,
'actEnergyRcvd': 0.637,
'activePower': 3624.573,
'apparentEnergy': 5375938.331,
'apparentPower': 3675.535,
'channels': list([
dict({
'actEnergyDlvd': 2271793.63,
'actEnergyRcvd': 0.3,
'activePower': 1810.773,
'apparentEnergy': 2685521.244,
'apparentPower': 1836.021,
'current': 15.11,
'eid': 1778385169,
'freq': 60.0,
'instantaneousDemand': 1810.773,
'pwrFactor': 0.988,
'reactEnergyLagg': 365648.234,
'reactEnergyLead': 7490.926,
'reactivePower': 13.171,
'timestamp': 1694549733,
'voltage': 120.749,
}),
dict({
'actEnergyDlvd': 2274135.9,
'actEnergyRcvd': 0.337,
'activePower': 1813.8,
'apparentEnergy': 2690417.087,
'apparentPower': 1839.514,
'current': 15.113,
'eid': 1778385170,
'freq': 60.0,
'instantaneousDemand': 1813.8,
'pwrFactor': 0.988,
'reactEnergyLagg': 364353.682,
'reactEnergyLead': 8559.662,
'reactivePower': 12.373,
'timestamp': 1694549733,
'voltage': 120.946,
}),
dict({
'actEnergyDlvd': 0.0,
'actEnergyRcvd': 0.0,
'activePower': 0.0,
'apparentEnergy': 0.0,
'apparentPower': 0.0,
'current': 0.0,
'eid': 1778385171,
'freq': 60.0,
'instantaneousDemand': 0.0,
'pwrFactor': 0.0,
'reactEnergyLagg': 0.0,
'reactEnergyLead': 0.0,
'reactivePower': 0.0,
'timestamp': 1694549733,
'voltage': 0.0,
}),
]),
'current': 30.223,
'eid': 704643328,
'freq': 60.0,
'instantaneousDemand': 3624.573,
'pwrFactor': 0.988,
'reactEnergyLagg': 730001.916,
'reactEnergyLead': 16050.589,
'reactivePower': 25.544,
'timestamp': 1694549733,
'voltage': 241.696,
}),
dict({
'actEnergyDlvd': 0.0,
'actEnergyRcvd': 0.0,
'activePower': 0.0,
'apparentEnergy': 0.021,
'apparentPower': 34.651,
'channels': list([
dict({
'actEnergyDlvd': 0.0,
'actEnergyRcvd': 0.0,
'activePower': 0.0,
'apparentEnergy': 0.009,
'apparentPower': 15.201,
'current': 0.126,
'eid': 1778385425,
'freq': 60.0,
'instantaneousDemand': 0.0,
'pwrFactor': 0.0,
'reactEnergyLagg': 0.0,
'reactEnergyLead': 0.0,
'reactivePower': 0.0,
'timestamp': 1694549733,
'voltage': 120.773,
}),
dict({
'actEnergyDlvd': 0.0,
'actEnergyRcvd': 0.0,
'activePower': 0.0,
'apparentEnergy': 0.012,
'apparentPower': 19.45,
'current': 0.16,
'eid': 1778385426,
'freq': 60.0,
'instantaneousDemand': 0.0,
'pwrFactor': 0.0,
'reactEnergyLagg': 0.0,
'reactEnergyLead': 0.0,
'reactivePower': 0.0,
'timestamp': 1694549733,
'voltage': 120.945,
}),
dict({
'actEnergyDlvd': 0.0,
'actEnergyRcvd': 0.0,
'activePower': 0.0,
'apparentEnergy': 0.0,
'apparentPower': 0.0,
'current': 0.0,
'eid': 1778385427,
'freq': 60.0,
'instantaneousDemand': 0.0,
'pwrFactor': 0.0,
'reactEnergyLagg': 0.0,
'reactEnergyLead': 0.0,
'reactivePower': 0.0,
'timestamp': 1694549733,
'voltage': 0.0,
}),
]),
'current': 0.287,
'eid': 704643584,
'freq': 60.0,
'instantaneousDemand': 0.0,
'pwrFactor': 0.0,
'reactEnergyLagg': 0.0,
'reactEnergyLead': 0.0,
'reactivePower': 0.0,
'timestamp': 1694549733,
'voltage': 241.718,
}),
]),
'/production.json?details=1': dict({
'consumption': list([
dict({
'activeCount': 0,
'apprntPwr': 7698.231,
'measurementType': 'total-consumption',
'pwrFactor': 0.49,
'reactPwr': -29.295,
'readingTime': 1694549731,
'rmsCurrent': 31.831,
'rmsVoltage': 241.85,
'type': 'eim',
'vahLifetime': 0.021,
'vahToday': 0.021,
'varhLagLifetime': 730001.895,
'varhLagToday': 730001.895,
'varhLeadLifetime': 16050.589,
'varhLeadToday': 16050.589,
'wNow': 3780.646,
'whLastSevenDays': 4545909.217,
'whLifetime': 4545909.217,
'whToday': 4545909.217,
}),
dict({
'activeCount': 0,
'apprntPwr': 35.041,
'measurementType': 'net-consumption',
'pwrFactor': 0.0,
'reactPwr': 0.909,
'readingTime': 1694549731,
'rmsCurrent': 0.29,
'rmsVoltage': 241.9,
'type': 'eim',
'vahLifetime': 0.021,
'vahToday': 0,
'varhLagLifetime': 0.0,
'varhLagToday': 0,
'varhLeadLifetime': 0.0,
'varhLeadToday': 0,
'wNow': 0.0,
'whLastSevenDays': 0,
'whLifetime': 0.0,
'whToday': 0,
}),
]),
'production': list([
dict({
'activeCount': 15,
'readingTime': 1694549655,
'type': 'inverters',
'wNow': 4085,
'whLifetime': 943236,
}),
dict({
'activeCount': 1,
'apprntPwr': 3826.518,
'measurementType': 'production',
'pwrFactor': 0.99,
'reactPwr': 30.203,
'readingTime': 1694549731,
'rmsCurrent': 31.541,
'rmsVoltage': 241.801,
'type': 'eim',
'vahLifetime': 5375935.161,
'vahToday': 17699.161,
'varhLagLifetime': 730001.895,
'varhLagToday': 2831.895,
'varhLeadLifetime': 16050.589,
'varhLeadToday': 14.589,
'wNow': 3780.646,
'whLastSevenDays': 186010.403,
'whLifetime': 4545926.403,
'whToday': 14848.403,
}),
]),
'storage': list([
dict({
'activeCount': 0,
'readingTime': 0,
'state': 'idle',
'type': 'acb',
'wNow': 0,
'whNow': 0,
}),
]),
}),
}),
'system_consumption': None,
'system_consumption_phases': None,
'system_net_consumption': None,
'system_net_consumption_phases': None,
'system_production': dict({
'watt_hours_last_7_days': 186010,
'watt_hours_lifetime': 4545926,
'watt_hours_today': 14848,
'watts_now': 3781,
}),
'system_production_phases': None,
'tariff': dict({
'currency': dict({
'code': 'USD',
}),
'date': '1680547193',
'logger': 'mylogger',
'seasons': list([
dict({
'days': list([
]),
'id': 'season_1',
'start': '1/1',
'tiers': list([
dict({
'id': 'tier_1',
'limit': 1000,
'rate': 0.15128,
}),
dict({
'id': 'tier_2',
'limit': -1,
'rate': 0.1585,
}),
]),
}),
]),
'seasons_sell': list([
]),
'single_rate': dict({
'rate': 0.15128,
'sell': 0.0,
}),
'storage_settings': dict({
'charge_from_grid': False,
'date': '1680547193',
'mode': ,
'operation_mode_sub_type': '',
'opt_schedules': None,
'reserved_soc': 0.0,
'very_low_soc': 5,
}),
}),
})
# ---
# name: test_with_7_x_firmware[7.3.466_with_cts_3phase]
dict({
'acb_power': None,
'battery_aggregate': None,
'c6cc': None,
'collar': None,
'ctmeter_consumption': dict({
'active_power': -36,
'current': 2.745,
'eid': 704643584,
'energy_delivered': 3738205,
'energy_received': 1776769,
'frequency': 50.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': -0.06,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 235.201,
}),
'ctmeter_consumption_phases': dict({
: dict({
'active_power': -36,
'current': 2.745,
'eid': 1778385425,
'energy_delivered': 3738205,
'energy_received': 1776769,
'frequency': 50.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': -0.06,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 235.201,
}),
: dict({
'active_power': 0,
'current': 0.0,
'eid': 1778385426,
'energy_delivered': 0,
'energy_received': 8279,
'frequency': 50.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': -1.0,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 2.981,
}),
: dict({
'active_power': 0,
'current': 0.242,
'eid': 1778385427,
'energy_delivered': 0,
'energy_received': 13980,
'frequency': 50.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': 0.0,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 4.635,
}),
}),
'ctmeter_production': dict({
'active_power': 489,
'current': 2.169,
'eid': 704643328,
'energy_delivered': 3183794,
'energy_received': 8852,
'frequency': 50.0,
'measurement_type': 'production',
'metering_status': 'normal',
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'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 235.236,
}),
'ctmeter_production_phases': dict({
: dict({
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'eid': 1778385169,
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'energy_received': 8852,
'frequency': 50.0,
'measurement_type': 'production',
'metering_status': 'normal',
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'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 235.236,
}),
: dict({
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'eid': 1778385170,
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'frequency': 50.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.0,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 6.124,
}),
: dict({
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'energy_received': 9818,
'frequency': 50.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': -1.0,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 11.469,
}),
}),
'ctmeter_storage': None,
'ctmeter_storage_phases': None,
'ctmeters': dict({
'net-consumption': dict({
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'eid': 704643584,
'energy_delivered': 3738205,
'energy_received': 1776769,
'frequency': 50.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': -0.06,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 235.201,
}),
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'eid': 704643328,
'energy_delivered': 3183794,
'energy_received': 8852,
'frequency': 50.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.957,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 235.236,
}),
}),
'ctmeters_phases': dict({
'net-consumption': dict({
: dict({
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'eid': 1778385425,
'energy_delivered': 3738205,
'energy_received': 1776769,
'frequency': 50.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': -0.06,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 235.201,
}),
: dict({
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'eid': 1778385426,
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'frequency': 50.0,
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'metering_status': 'normal',
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'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 2.981,
}),
: dict({
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'frequency': 50.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
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'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 4.635,
}),
}),
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: dict({
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'eid': 1778385169,
'energy_delivered': 3183794,
'energy_received': 8852,
'frequency': 50.0,
'measurement_type': 'production',
'metering_status': 'normal',
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'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 235.236,
}),
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'frequency': 50.0,
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'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 6.124,
}),
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'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 11.469,
}),
}),
}),
'dry_contact_settings': dict({
}),
'dry_contact_status': dict({
}),
'encharge_aggregate': None,
'encharge_inventory': None,
'encharge_power': None,
'enpower': None,
'inverters': dict({
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'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1693745036,
'last_report_duration': None,
'last_report_watts': 58,
'lifetime_energy': None,
'max_report_watts': 253,
'serial_number': '121212121201',
'temperature': None,
}),
'121212121202': dict({
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'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1693745066,
'last_report_duration': None,
'last_report_watts': 56,
'lifetime_energy': None,
'max_report_watts': 254,
'serial_number': '121212121202',
'temperature': None,
}),
'121212121203': dict({
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'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1693744825,
'last_report_duration': None,
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'lifetime_energy': None,
'max_report_watts': 365,
'serial_number': '121212121203',
'temperature': None,
}),
'121212121204': dict({
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'ac_frequency': None,
'ac_voltage': None,
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'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1693744828,
'last_report_duration': None,
'last_report_watts': 133,
'lifetime_energy': None,
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'serial_number': '121212121204',
'temperature': None,
}),
'121212121205': dict({
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'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1693744828,
'last_report_duration': None,
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'lifetime_energy': None,
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'serial_number': '121212121205',
'temperature': None,
}),
'121212121206': dict({
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'dc_current': None,
'dc_voltage': None,
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'energy_today': None,
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'last_report_duration': None,
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'lifetime_energy': None,
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'serial_number': '121212121206',
'temperature': None,
}),
'121212121207': dict({
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'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
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'lifetime_energy': None,
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'serial_number': '121212121207',
'temperature': None,
}),
}),
'raw': dict({
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'schedule': dict({
'battery_mode': 'self-consumption',
'charge_from_grid': False,
'date': '2023-06-29 15:50:12 UTC',
'operation_mode_sub_type': '',
'override': False,
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'override_chg_dischg_rate': 0,
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dict({
'Sun': list([
dict({
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'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Mon': list([
dict({
'duration': 1440,
'setting': 'ID',
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}),
]),
}),
dict({
'Tue': list([
dict({
'duration': 1440,
'setting': 'ID',
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}),
]),
}),
dict({
'Wed': list([
dict({
'duration': 1440,
'setting': 'ID',
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}),
]),
}),
dict({
'Thu': list([
dict({
'duration': 1440,
'setting': 'ID',
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}),
]),
}),
dict({
'Fri': list([
dict({
'duration': 1440,
'setting': 'ID',
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}),
]),
}),
dict({
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dict({
'duration': 1440,
'setting': 'ID',
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}),
]),
}),
]),
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dict({
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dict({
'duration': 1440,
'setting': 'ZN',
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}),
]),
'Mon': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Sat': list([
dict({
'duration': 1440,
'setting': 'ZN',
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}),
]),
'Sun': list([
dict({
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'setting': 'ZN',
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}),
]),
'Thu': list([
dict({
'duration': 1440,
'setting': 'ZN',
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}),
]),
'Tue': list([
dict({
'duration': 1440,
'setting': 'ZN',
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}),
]),
'Wed': list([
dict({
'duration': 1440,
'setting': 'ZN',
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}),
]),
'end': '1/1',
'start': '1/1',
}),
]),
}),
'source': 'Tariff',
'version': '00.00.02',
'very_low_soc': 5,
}),
'tariff': dict({
'currency': dict({
'code': 'EUR',
}),
'date': '1688053811',
'logger': 'mylogger',
'seasons': list([
dict({
'days': list([
dict({
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'id': 'all_days',
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dict({
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dict({
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}),
]),
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'tiers': list([
]),
}),
]),
'seasons_sell': list([
]),
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'sell': 0,
}),
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'date': '1688053811',
'mode': 'self-consumption',
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}),
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dict({
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'serialNumber': '121212121201',
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dict({
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dict({
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'serialNumber': '121212121203',
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dict({
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'serialNumber': '121212121204',
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dict({
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'serialNumber': '121212121205',
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dict({
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dict({
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'serialNumber': '121212121207',
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]),
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dict({
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'phaseMode': 'three',
'state': 'enabled',
'statusFlags': list([
]),
}),
dict({
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'statusFlags': list([
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}),
]),
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dict({
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dict({
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dict({
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'rmsCurrent': 0.286,
'rmsVoltage': 236.766,
'vahLifetime': 2377390.886,
'vahToday': 3576.886,
'varhLagLifetime': 539695.061,
'varhLagToday': 1163.061,
'varhLeadLifetime': 0.002,
'varhLeadToday': 0.002,
'wNow': -2.864,
'whLastSevenDays': 29891.394,
'whLifetime': 1869678.394,
'whToday': 2200.394,
}),
dict({
'apprntPwr': -0.0,
'pwrFactor': 0.0,
'reactPwr': 0.0,
'rmsCurrent': -0.0,
'rmsVoltage': 237.918,
'vahLifetime': 1241038.844,
'vahToday': 1528.844,
'varhLagLifetime': 366839.383,
'varhLagToday': 792.383,
'varhLeadLifetime': 0.001,
'varhLeadToday': 0.001,
'wNow': 0.0,
'whLastSevenDays': 19793.645,
'whLifetime': 1241245.645,
'whToday': 1454.645,
}),
dict({
'apprntPwr': 88.355,
'pwrFactor': 0.0,
'reactPwr': 33.69,
'rmsCurrent': 0.372,
'rmsVoltage': 237.904,
'vahLifetime': 1941098.256,
'vahToday': 3191.256,
'varhLagLifetime': 358345.928,
'varhLagToday': 771.928,
'varhLeadLifetime': 0.002,
'varhLeadToday': 0.002,
'wNow': -3.617,
'whLastSevenDays': 19807.161,
'whLifetime': 1240189.161,
'whToday': 1458.161,
}),
]),
'measurementType': 'production',
'pwrFactor': 0.0,
'reactPwr': 84.546,
'readingTime': 1693433002,
'rmsCurrent': 0.658,
'rmsVoltage': 712.588,
'type': 'eim',
'vahLifetime': 5559527.987,
'vahToday': 8296.987,
'varhLagLifetime': 1264880.372,
'varhLagToday': 2727.372,
'varhLeadLifetime': 0.005,
'varhLeadToday': 0.005,
'wNow': -6.481,
'whLastSevenDays': 69492.2,
'whLifetime': 4351113.2,
'whToday': 5113.2,
}),
]),
'storage': list([
dict({
'activeCount': 0,
'readingTime': 0,
'state': 'idle',
'type': 'acb',
'wNow': 0,
'whNow': 0,
}),
]),
}),
}),
'system_consumption': dict({
'watt_hours_last_7_days': 68784,
'watt_hours_lifetime': 4074795,
'watt_hours_today': 12423,
'watts_now': 209,
}),
'system_consumption_phases': dict({
: dict({
'watt_hours_last_7_days': 39392,
'watt_hours_lifetime': 2293783,
'watt_hours_today': 8585,
'watts_now': 89,
}),
: dict({
'watt_hours_last_7_days': 18949,
'watt_hours_lifetime': 948058,
'watt_hours_today': 2155,
'watts_now': 123,
}),
: dict({
'watt_hours_last_7_days': 10443,
'watt_hours_lifetime': 832954,
'watt_hours_today': 1683,
'watts_now': -3,
}),
}),
'system_net_consumption': dict({
'watt_hours_last_7_days': 0,
'watt_hours_lifetime': 2886562,
'watt_hours_today': 0,
'watts_now': 216,
}),
'system_net_consumption_phases': dict({
: dict({
'watt_hours_last_7_days': 0,
'watt_hours_lifetime': 1625201,
'watt_hours_today': 0,
'watts_now': 91,
}),
: dict({
'watt_hours_last_7_days': 0,
'watt_hours_lifetime': 629892,
'watt_hours_today': 0,
'watts_now': 123,
}),
: dict({
'watt_hours_last_7_days': 0,
'watt_hours_lifetime': 631469,
'watt_hours_today': 0,
'watts_now': 1,
}),
}),
'system_production': dict({
'watt_hours_last_7_days': 69492,
'watt_hours_lifetime': 4351113,
'watt_hours_today': 5113,
'watts_now': -6,
}),
'system_production_phases': dict({
: dict({
'watt_hours_last_7_days': 29891,
'watt_hours_lifetime': 1869678,
'watt_hours_today': 2200,
'watts_now': -3,
}),
: dict({
'watt_hours_last_7_days': 19794,
'watt_hours_lifetime': 1241246,
'watt_hours_today': 1455,
'watts_now': 0,
}),
: dict({
'watt_hours_last_7_days': 19807,
'watt_hours_lifetime': 1240189,
'watt_hours_today': 1458,
'watts_now': -4,
}),
}),
'tariff': dict({
'currency': dict({
'code': 'EUR',
}),
'date': '1688053811',
'logger': 'mylogger',
'seasons': list([
dict({
'days': list([
dict({
'days': 'Mon,Tue,Wed,Thu,Fri,Sat,Sun',
'enable_discharge_to_grid': False,
'id': 'all_days',
'must_charge_duration': 0,
'must_charge_mode': 'CG',
'must_charge_start': 0,
'periods': list([
dict({
'id': 'period_1',
'rate': 0.14,
'start': 480,
}),
dict({
'id': 'filler',
'rate': 0.01,
'start': 1320,
}),
]),
}),
]),
'id': 'all_year_long',
'start': '1/1',
'tiers': list([
]),
}),
]),
'seasons_sell': list([
]),
'single_rate': dict({
'rate': 0.01,
'sell': 0,
}),
'storage_settings': dict({
'charge_from_grid': False,
'date': '1688053811',
'mode': ,
'operation_mode_sub_type': '',
'opt_schedules': None,
'reserved_soc': 0,
'very_low_soc': 5,
}),
}),
})
# ---
# name: test_with_7_x_firmware[7.3.517]
dict({
'acb_power': None,
'battery_aggregate': None,
'c6cc': None,
'collar': None,
'ctmeter_consumption': None,
'ctmeter_consumption_phases': None,
'ctmeter_production': None,
'ctmeter_production_phases': None,
'ctmeter_storage': None,
'ctmeter_storage_phases': None,
'ctmeters': dict({
}),
'ctmeters_phases': dict({
}),
'dry_contact_settings': dict({
'NC1': dict({
'black_start': 5.0,
'essential_end_time': 57600.0,
'essential_start_time': 32400.0,
'generator_action': ,
'grid_action': ,
'id': 'NC1',
'load_name': 'NC1 Test',
'manual_override': True,
'micro_grid_action': ,
'mode': ,
'override': True,
'priority': 1.0,
'pv_serial_nb': list([
]),
'soc_high': 70.0,
'soc_low': 25.0,
'type': ,
}),
'NC2': dict({
'black_start': 5.0,
'essential_end_time': 57600.0,
'essential_start_time': 32400.0,
'generator_action': ,
'grid_action': ,
'id': 'NC2',
'load_name': 'NC2',
'manual_override': True,
'micro_grid_action': ,
'mode': ,
'override': True,
'priority': 2.0,
'pv_serial_nb': list([
]),
'soc_high': 70.0,
'soc_low': 30.0,
'type': ,
}),
'NO1': dict({
'black_start': 5.0,
'essential_end_time': 57600.0,
'essential_start_time': 32400.0,
'generator_action': ,
'grid_action': ,
'id': 'NO1',
'load_name': 'No1',
'manual_override': True,
'micro_grid_action': ,
'mode': ,
'override': True,
'priority': 3.0,
'pv_serial_nb': list([
]),
'soc_high': 70.0,
'soc_low': 30.0,
'type': ,
}),
'NO2': dict({
'black_start': 5.0,
'essential_end_time': 57600.0,
'essential_start_time': 32400.0,
'generator_action': ,
'grid_action': ,
'id': 'NO2',
'load_name': 'NO2',
'manual_override': True,
'micro_grid_action': ,
'mode': ,
'override': True,
'priority': 4.0,
'pv_serial_nb': list([
]),
'soc_high': 70.0,
'soc_low': 30.0,
'type': ,
}),
}),
'dry_contact_status': dict({
'NC1': dict({
'id': 'NC1',
'status': ,
}),
'NC2': dict({
'id': 'NC2',
'status': ,
}),
'NO1': dict({
'id': 'NO1',
'status': ,
}),
'NO2': dict({
'id': 'NO2',
'status': ,
}),
}),
'encharge_aggregate': dict({
'available_energy': 10080,
'backup_reserve': 10080,
'configured_reserve_state_of_charge': 100,
'max_available_capacity': 10080,
'reserve_state_of_charge': 100,
'state_of_charge': 100,
}),
'encharge_inventory': dict({
'122035013273': dict({
'admin_state': 6,
'admin_state_str': 'ENCHG_STATE_READY',
'bmu_firmware_version': '2.1.27',
'comm_level_2_4_ghz': 5,
'comm_level_sub_ghz': 5,
'communicating': True,
'dc_switch_off': False,
'encharge_capacity': 3360,
'encharge_revision': 1,
'firmware_loaded_date': 1692651649,
'firmware_version': '2.0.5663_rel/22.13',
'installed_date': 1692651649,
'last_report_date': 1692817971,
'led_status': 14,
'max_cell_temp': 28,
'operating': True,
'part_number': '830-00703-r67',
'percent_full': 100,
'serial_number': '122035013273',
'temperature': 28,
'temperature_unit': 'C',
'zigbee_dongle_fw_version': '100B',
}),
'122035013278': dict({
'admin_state': 6,
'admin_state_str': 'ENCHG_STATE_READY',
'bmu_firmware_version': '2.1.27',
'comm_level_2_4_ghz': 5,
'comm_level_sub_ghz': 5,
'communicating': True,
'dc_switch_off': False,
'encharge_capacity': 3360,
'encharge_revision': 1,
'firmware_loaded_date': 1692651650,
'firmware_version': '2.0.5663_rel/22.13',
'installed_date': 1692651650,
'last_report_date': 1692817716,
'led_status': 14,
'max_cell_temp': 29,
'operating': True,
'part_number': '830-00703-r67',
'percent_full': 100,
'serial_number': '122035013278',
'temperature': 28,
'temperature_unit': 'C',
'zigbee_dongle_fw_version': '100B',
}),
'122035013286': dict({
'admin_state': 6,
'admin_state_str': 'ENCHG_STATE_READY',
'bmu_firmware_version': '2.1.27',
'comm_level_2_4_ghz': 5,
'comm_level_sub_ghz': 5,
'communicating': True,
'dc_switch_off': False,
'encharge_capacity': 3360,
'encharge_revision': 1,
'firmware_loaded_date': 1692779890,
'firmware_version': '2.0.5663_rel/22.13',
'installed_date': 1692779890,
'last_report_date': 1692817944,
'led_status': 14,
'max_cell_temp': 29,
'operating': True,
'part_number': '830-00703-r67',
'percent_full': 100,
'serial_number': '122035013286',
'temperature': 28,
'temperature_unit': 'C',
'zigbee_dongle_fw_version': '100B',
}),
}),
'encharge_power': dict({
'122035013273': dict({
'apparent_power_mva': 0,
'real_power_mw': 0,
'soc': 100,
}),
'122035013278': dict({
'apparent_power_mva': 0,
'real_power_mw': 0,
'soc': 100,
}),
'122035013286': dict({
'apparent_power_mva': 0,
'real_power_mw': 0,
'soc': 100,
}),
}),
'enpower': dict({
'admin_state': 24,
'admin_state_str': 'ENPWR_STATE_OPER_CLOSED',
'comm_level_2_4_ghz': 5,
'comm_level_sub_ghz': 5,
'communicating': True,
'firmware_loaded_date': 1692651723,
'firmware_version': '1.5.5229_rel/22.13',
'grid_mode': 'multimode-ongrid',
'installed_date': 1692651723,
'last_report_date': 1692817873,
'mains_admin_state': 'closed',
'mains_oper_state': 'closed',
'operating': True,
'part_number': '860-00276-r28',
'serial_number': '122029016399',
'temperature': 88,
'temperature_unit': 'F',
'zigbee_dongle_fw_version': '100B',
}),
'inverters': dict({
'202042084581': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817988,
'last_report_duration': None,
'last_report_watts': 199,
'lifetime_energy': None,
'max_report_watts': 245,
'serial_number': '202042084581',
'temperature': None,
}),
'202042085758': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817781,
'last_report_duration': None,
'last_report_watts': 198,
'lifetime_energy': None,
'max_report_watts': 243,
'serial_number': '202042085758',
'temperature': None,
}),
'202043001326': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817929,
'last_report_duration': None,
'last_report_watts': 205,
'lifetime_energy': None,
'max_report_watts': 244,
'serial_number': '202043001326',
'temperature': None,
}),
'202043001340': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817840,
'last_report_duration': None,
'last_report_watts': 220,
'lifetime_energy': None,
'max_report_watts': 245,
'serial_number': '202043001340',
'temperature': None,
}),
'202043001781': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817838,
'last_report_duration': None,
'last_report_watts': 218,
'lifetime_energy': None,
'max_report_watts': 245,
'serial_number': '202043001781',
'temperature': None,
}),
'202043002628': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817754,
'last_report_duration': None,
'last_report_watts': 188,
'lifetime_energy': None,
'max_report_watts': 245,
'serial_number': '202043002628',
'temperature': None,
}),
'202043002631': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817819,
'last_report_duration': None,
'last_report_watts': 212,
'lifetime_energy': None,
'max_report_watts': 243,
'serial_number': '202043002631',
'temperature': None,
}),
'202043002733': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817871,
'last_report_duration': None,
'last_report_watts': 212,
'lifetime_energy': None,
'max_report_watts': 244,
'serial_number': '202043002733',
'temperature': None,
}),
'202043002762': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817752,
'last_report_duration': None,
'last_report_watts': 186,
'lifetime_energy': None,
'max_report_watts': 244,
'serial_number': '202043002762',
'temperature': None,
}),
'202043002877': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817778,
'last_report_duration': None,
'last_report_watts': 197,
'lifetime_energy': None,
'max_report_watts': 244,
'serial_number': '202043002877',
'temperature': None,
}),
'202043002943': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817753,
'last_report_duration': None,
'last_report_watts': 187,
'lifetime_energy': None,
'max_report_watts': 242,
'serial_number': '202043002943',
'temperature': None,
}),
'202043003123': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817816,
'last_report_duration': None,
'last_report_watts': 209,
'lifetime_energy': None,
'max_report_watts': 245,
'serial_number': '202043003123',
'temperature': None,
}),
'202043003256': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817841,
'last_report_duration': None,
'last_report_watts': 218,
'lifetime_energy': None,
'max_report_watts': 245,
'serial_number': '202043003256',
'temperature': None,
}),
'202043003454': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817816,
'last_report_duration': None,
'last_report_watts': 211,
'lifetime_energy': None,
'max_report_watts': 243,
'serial_number': '202043003454',
'temperature': None,
}),
'202043003467': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817748,
'last_report_duration': None,
'last_report_watts': 186,
'lifetime_energy': None,
'max_report_watts': 245,
'serial_number': '202043003467',
'temperature': None,
}),
'202043003473': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817928,
'last_report_duration': None,
'last_report_watts': 209,
'lifetime_energy': None,
'max_report_watts': 243,
'serial_number': '202043003473',
'temperature': None,
}),
'202043003484': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817869,
'last_report_duration': None,
'last_report_watts': 213,
'lifetime_energy': None,
'max_report_watts': 244,
'serial_number': '202043003484',
'temperature': None,
}),
'202043003803': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817808,
'last_report_duration': None,
'last_report_watts': 210,
'lifetime_energy': None,
'max_report_watts': 244,
'serial_number': '202043003803',
'temperature': None,
}),
'202106021181': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817958,
'last_report_duration': None,
'last_report_watts': 204,
'lifetime_energy': None,
'max_report_watts': 243,
'serial_number': '202106021181',
'temperature': None,
}),
'202106046579': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817965,
'last_report_duration': None,
'last_report_watts': 201,
'lifetime_energy': None,
'max_report_watts': 244,
'serial_number': '202106046579',
'temperature': None,
}),
'202106046737': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817754,
'last_report_duration': None,
'last_report_watts': 187,
'lifetime_energy': None,
'max_report_watts': 244,
'serial_number': '202106046737',
'temperature': None,
}),
'202106049949': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817841,
'last_report_duration': None,
'last_report_watts': 220,
'lifetime_energy': None,
'max_report_watts': 244,
'serial_number': '202106049949',
'temperature': None,
}),
}),
'raw': dict({
'/admin/lib/tariff': dict({
'schedule': dict({
'battery_mode': 'backup',
'charge_from_grid': True,
'date': '2023-08-19 19:04:23 UTC',
'operation_mode_sub_type': '',
'override': False,
'override_backup_soc': 30.0,
'override_chg_dischg_rate': 0.0,
'override_tou_mode': 'StorageTouMode_DEFAULT_TOU_MODE',
'reserved_soc': 100.0,
'schedule': dict({
'Disable': list([
dict({
'Sun': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Mon': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Tue': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Wed': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Thu': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Fri': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Sat': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
]),
'tariff': list([
dict({
'Fri': list([
dict({
'duration': 1440,
'setting': 'CG',
'start': 0,
}),
]),
'Mon': list([
dict({
'duration': 1440,
'setting': 'CG',
'start': 0,
}),
]),
'Sat': list([
dict({
'duration': 1440,
'setting': 'CG',
'start': 0,
}),
]),
'Sun': list([
dict({
'duration': 1440,
'setting': 'CG',
'start': 0,
}),
]),
'Thu': list([
dict({
'duration': 1440,
'setting': 'CG',
'start': 0,
}),
]),
'Tue': list([
dict({
'duration': 1440,
'setting': 'CG',
'start': 0,
}),
]),
'Wed': list([
dict({
'duration': 1440,
'setting': 'CG',
'start': 0,
}),
]),
'end': '1/1',
'start': '1/1',
}),
]),
}),
'source': 'Tariff',
'version': '00.00.02',
'very_low_soc': 10,
}),
'tariff': dict({
'currency': dict({
'code': 'USD',
}),
'date': '1692471808',
'logger': 'mylogger',
'seasons': list([
]),
'seasons_sell': list([
]),
'single_rate': dict({
'rate': 0.0,
'sell': 0.0,
}),
'storage_settings': dict({
'charge_from_grid': True,
'date': '1692471808',
'mode': 'backup',
'operation_mode_sub_type': '',
'reserved_soc': 100.0,
'very_low_soc': 10,
}),
}),
}),
'/api/v1/production/inverters': list([
dict({
'devType': 1,
'lastReportDate': 1692817928,
'lastReportWatts': 209,
'maxReportWatts': 243,
'serialNumber': '202043003473',
}),
dict({
'devType': 1,
'lastReportDate': 1692817869,
'lastReportWatts': 213,
'maxReportWatts': 244,
'serialNumber': '202043003484',
}),
dict({
'devType': 1,
'lastReportDate': 1692817778,
'lastReportWatts': 197,
'maxReportWatts': 244,
'serialNumber': '202043002877',
}),
dict({
'devType': 1,
'lastReportDate': 1692817808,
'lastReportWatts': 210,
'maxReportWatts': 244,
'serialNumber': '202043003803',
}),
dict({
'devType': 1,
'lastReportDate': 1692817838,
'lastReportWatts': 218,
'maxReportWatts': 245,
'serialNumber': '202043001781',
}),
dict({
'devType': 1,
'lastReportDate': 1692817748,
'lastReportWatts': 186,
'maxReportWatts': 245,
'serialNumber': '202043003467',
}),
dict({
'devType': 1,
'lastReportDate': 1692817929,
'lastReportWatts': 205,
'maxReportWatts': 244,
'serialNumber': '202043001326',
}),
dict({
'devType': 1,
'lastReportDate': 1692817781,
'lastReportWatts': 198,
'maxReportWatts': 243,
'serialNumber': '202042085758',
}),
dict({
'devType': 1,
'lastReportDate': 1692817958,
'lastReportWatts': 204,
'maxReportWatts': 243,
'serialNumber': '202106021181',
}),
dict({
'devType': 1,
'lastReportDate': 1692817871,
'lastReportWatts': 212,
'maxReportWatts': 244,
'serialNumber': '202043002733',
}),
dict({
'devType': 1,
'lastReportDate': 1692817752,
'lastReportWatts': 186,
'maxReportWatts': 244,
'serialNumber': '202043002762',
}),
dict({
'devType': 1,
'lastReportDate': 1692817841,
'lastReportWatts': 220,
'maxReportWatts': 244,
'serialNumber': '202106049949',
}),
dict({
'devType': 1,
'lastReportDate': 1692817753,
'lastReportWatts': 187,
'maxReportWatts': 242,
'serialNumber': '202043002943',
}),
dict({
'devType': 1,
'lastReportDate': 1692817840,
'lastReportWatts': 220,
'maxReportWatts': 245,
'serialNumber': '202043001340',
}),
dict({
'devType': 1,
'lastReportDate': 1692817754,
'lastReportWatts': 188,
'maxReportWatts': 245,
'serialNumber': '202043002628',
}),
dict({
'devType': 1,
'lastReportDate': 1692817754,
'lastReportWatts': 187,
'maxReportWatts': 244,
'serialNumber': '202106046737',
}),
dict({
'devType': 1,
'lastReportDate': 1692817841,
'lastReportWatts': 218,
'maxReportWatts': 245,
'serialNumber': '202043003256',
}),
dict({
'devType': 1,
'lastReportDate': 1692817965,
'lastReportWatts': 201,
'maxReportWatts': 244,
'serialNumber': '202106046579',
}),
dict({
'devType': 1,
'lastReportDate': 1692817988,
'lastReportWatts': 199,
'maxReportWatts': 245,
'serialNumber': '202042084581',
}),
dict({
'devType': 1,
'lastReportDate': 1692817816,
'lastReportWatts': 211,
'maxReportWatts': 243,
'serialNumber': '202043003454',
}),
dict({
'devType': 1,
'lastReportDate': 1692817816,
'lastReportWatts': 209,
'maxReportWatts': 245,
'serialNumber': '202043003123',
}),
dict({
'devType': 1,
'lastReportDate': 1692817819,
'lastReportWatts': 212,
'maxReportWatts': 243,
'serialNumber': '202043002631',
}),
]),
'/ivp/ensemble/dry_contacts': dict({
'dry_contacts': list([
dict({
'id': 'NC1',
'status': 'closed',
}),
dict({
'id': 'NC2',
'status': 'closed',
}),
dict({
'id': 'NO1',
'status': 'closed',
}),
dict({
'id': 'NO2',
'status': 'closed',
}),
]),
}),
'/ivp/ensemble/inventory': list([
dict({
'devices': list([
dict({
'admin_state': 6,
'admin_state_str': 'ENCHG_STATE_READY',
'bmu_fw_version': '2.1.27',
'comm_level_2_4_ghz': 5,
'comm_level_sub_ghz': 5,
'communicating': True,
'created_date': 1692651649,
'dc_switch_off': False,
'device_status': list([
'envoy.global.ok',
'prop.done',
]),
'encharge_capacity': 3360,
'encharge_rev': 1,
'img_load_date': 1692651649,
'img_pnum_running': '2.0.5663_rel/22.13',
'installed': 1692651649,
'last_rpt_date': 1692817971,
'led_status': 14,
'maxCellTemp': 28,
'operating': True,
'part_num': '830-00703-r67',
'percentFull': 100,
'serial_num': '122035013273',
'sleep_enabled': False,
'temperature': 28,
'zigbee_dongle_fw_version': '100B',
}),
dict({
'admin_state': 6,
'admin_state_str': 'ENCHG_STATE_READY',
'bmu_fw_version': '2.1.27',
'comm_level_2_4_ghz': 5,
'comm_level_sub_ghz': 5,
'communicating': True,
'created_date': 1692651650,
'dc_switch_off': False,
'device_status': list([
'envoy.global.ok',
'prop.done',
]),
'encharge_capacity': 3360,
'encharge_rev': 1,
'img_load_date': 1692651650,
'img_pnum_running': '2.0.5663_rel/22.13',
'installed': 1692651650,
'last_rpt_date': 1692817716,
'led_status': 14,
'maxCellTemp': 29,
'operating': True,
'part_num': '830-00703-r67',
'percentFull': 100,
'serial_num': '122035013278',
'sleep_enabled': False,
'temperature': 28,
'zigbee_dongle_fw_version': '100B',
}),
dict({
'admin_state': 6,
'admin_state_str': 'ENCHG_STATE_READY',
'bmu_fw_version': '2.1.27',
'comm_level_2_4_ghz': 5,
'comm_level_sub_ghz': 5,
'communicating': True,
'created_date': 1692779890,
'dc_switch_off': False,
'device_status': list([
'envoy.global.ok',
'prop.done',
]),
'encharge_capacity': 3360,
'encharge_rev': 1,
'img_load_date': 1692779890,
'img_pnum_running': '2.0.5663_rel/22.13',
'installed': 1692779890,
'last_rpt_date': 1692817944,
'led_status': 14,
'maxCellTemp': 29,
'operating': True,
'part_num': '830-00703-r67',
'percentFull': 100,
'serial_num': '122035013286',
'sleep_enabled': False,
'temperature': 28,
'zigbee_dongle_fw_version': '100B',
}),
]),
'type': 'ENCHARGE',
}),
dict({
'devices': list([
dict({
'Enchg_grid_mode': 'multimode-ongrid',
'Enpwr_curr_state_id': 16,
'Enpwr_grid_mode': 'multimode-ongrid',
'Enpwr_relay_state_bm': 15664,
'admin_state': 24,
'admin_state_str': 'ENPWR_STATE_OPER_CLOSED',
'comm_level_2_4_ghz': 5,
'comm_level_sub_ghz': 5,
'communicating': True,
'created_date': 1692651723,
'device_status': list([
'envoy.global.ok',
'prop.done',
]),
'img_load_date': 1692651723,
'img_pnum_running': '1.5.5229_rel/22.13',
'installed': 1692651723,
'last_rpt_date': 1692817873,
'mains_admin_state': 'closed',
'mains_oper_state': 'closed',
'operating': True,
'part_num': '860-00276-r28',
'serial_num': '122029016399',
'temperature': 88,
'zigbee_dongle_fw_version': '100B',
}),
]),
'type': 'ENPOWER',
}),
]),
'/ivp/ensemble/power': dict({
'devices:': list([
dict({
'apparent_power_mva': 0,
'real_power_mw': 0,
'serial_num': '122035013273',
'soc': 100,
}),
dict({
'apparent_power_mva': 0,
'real_power_mw': 0,
'serial_num': '122035013278',
'soc': 100,
}),
dict({
'apparent_power_mva': 0,
'real_power_mw': 0,
'serial_num': '122035013286',
'soc': 100,
}),
]),
}),
'/ivp/ensemble/secctrl': dict({
'ACB_agg_energy': 0,
'ACB_agg_soc': 0,
'ENC_agg_avail_energy': 10080,
'ENC_agg_backup_energy': 10080,
'ENC_agg_soc': 100,
'Enc_commissioned_capacity': 10080,
'Enc_max_available_capacity': 10080,
'Max_energy': 10080,
'adjusted_backup_soc': 100,
'agg_soc': 100,
'configured_backup_soc': 100,
'freq_bias_hz': -1.3200000524520874,
'freq_bias_hz_phaseb': 0.0,
'freq_bias_hz_phasec': 0.0,
'freq_bias_hz_q8': -2123,
'freq_bias_hz_q8_phaseb': 0,
'freq_bias_hz_q8_phasec': 0,
'shutdown': False,
'voltage_bias_v': -16.0,
'voltage_bias_v_phaseb': 0.0,
'voltage_bias_v_phasec': 0.0,
'voltage_bias_v_q5': -512,
'voltage_bias_v_q5_phaseb': 0,
'voltage_bias_v_q5_phasec': 0,
}),
'/ivp/ss/dry_contact_settings': dict({
'dry_contacts': list([
dict({
'black_s_start': 5.0,
'essential_end_time': 57600.0,
'essential_start_time': 32400.0,
'gen_action': 'shed',
'grid_action': 'apply',
'id': 'NC1',
'load_name': 'NC1 Test',
'manual_override': 'true',
'micro_grid_action': 'shed',
'mode': 'manual',
'override': 'true',
'priority': 1.0,
'pv_serial_nb': list([
]),
'soc_high': 70.0,
'soc_low': 25.0,
'type': 'LOAD',
}),
dict({
'black_s_start': 5.0,
'essential_end_time': 57600.0,
'essential_start_time': 32400.0,
'gen_action': 'shed',
'grid_action': 'apply',
'id': 'NC2',
'load_name': 'NC2',
'manual_override': 'true',
'micro_grid_action': 'shed',
'mode': 'manual',
'override': 'true',
'priority': 2.0,
'pv_serial_nb': list([
]),
'soc_high': 70.0,
'soc_low': 30.0,
'type': 'LOAD',
}),
dict({
'black_s_start': 5.0,
'essential_end_time': 57600.0,
'essential_start_time': 32400.0,
'gen_action': 'apply',
'grid_action': 'shed',
'id': 'NO1',
'load_name': 'No1',
'manual_override': 'true',
'micro_grid_action': 'apply',
'mode': 'manual',
'override': 'true',
'priority': 3.0,
'pv_serial_nb': list([
]),
'soc_high': 70.0,
'soc_low': 30.0,
'type': 'LOAD',
}),
dict({
'black_s_start': 5.0,
'essential_end_time': 57600.0,
'essential_start_time': 32400.0,
'gen_action': 'apply',
'grid_action': 'shed',
'id': 'NO2',
'load_name': 'NO2',
'manual_override': 'true',
'micro_grid_action': 'apply',
'mode': 'manual',
'override': 'true',
'priority': 4.0,
'pv_serial_nb': list([
]),
'soc_high': 70.0,
'soc_low': 30.0,
'type': 'LOAD',
}),
]),
}),
'/production.json?details=1': dict({
'consumption': list([
dict({
'activeCount': 1,
'apprntPwr': 3159.183,
'measurementType': 'total-consumption',
'pwrFactor': 1.0,
'reactPwr': 120.73,
'readingTime': 1692818014,
'rmsCurrent': 25.982,
'rmsVoltage': 243.198,
'type': 'eim',
'vahLifetime': 35703441.404,
'vahToday': 20422.404,
'varhLagLifetime': -9185383.698,
'varhLagToday': 0.0,
'varhLeadLifetime': 13182910.813,
'varhLeadToday': 8438.813,
'wNow': 3791.075,
'whLastSevenDays': 852.104,
'whLifetime': 27629799.104,
'whToday': 24292.104,
}),
dict({
'activeCount': 1,
'apprntPwr': -1322.483,
'measurementType': 'net-consumption',
'pwrFactor': -1.0,
'reactPwr': -287.032,
'readingTime': 1692818014,
'rmsCurrent': -10.874,
'rmsVoltage': 243.198,
'type': 'eim',
'vahLifetime': 35703441.404,
'vahToday': 0,
'varhLagLifetime': 190188.018,
'varhLagToday': 0,
'varhLeadLifetime': 13182911.259,
'varhLeadToday': 0,
'wNow': -765.064,
'whLastSevenDays': 0,
'whLifetime': 8436418.891,
'whToday': 0,
}),
]),
'production': list([
dict({
'activeCount': 22,
'readingTime': 1692817988,
'type': 'inverters',
'wNow': 4490,
'whLifetime': 183353,
}),
dict({
'activeCount': 1,
'apprntPwr': 4646.052,
'measurementType': 'production',
'pwrFactor': 0.98,
'reactPwr': 407.762,
'readingTime': 1692818014,
'rmsCurrent': 36.856,
'rmsVoltage': 243.341,
'type': 'eim',
'vahLifetime': 25459515.173,
'vahToday': 22749.173,
'varhLagLifetime': 9375571.716,
'varhLagToday': 6529.716,
'varhLeadLifetime': 0.446,
'varhLeadToday': 0.446,
'wNow': 4556.139,
'whLastSevenDays': 218714.461,
'whLifetime': 19230313.461,
'whToday': 18633.461,
}),
]),
'storage': list([
dict({
'activeCount': 0,
'readingTime': 0,
'state': 'idle',
'type': 'acb',
'wNow': 0,
'whNow': 0,
}),
]),
}),
}),
'system_consumption': dict({
'watt_hours_last_7_days': 852,
'watt_hours_lifetime': 27629799,
'watt_hours_today': 24292,
'watts_now': 3791,
}),
'system_consumption_phases': None,
'system_net_consumption': dict({
'watt_hours_last_7_days': 0,
'watt_hours_lifetime': 8436419,
'watt_hours_today': 0,
'watts_now': -765,
}),
'system_net_consumption_phases': None,
'system_production': dict({
'watt_hours_last_7_days': 218714,
'watt_hours_lifetime': 19230313,
'watt_hours_today': 18633,
'watts_now': 4556,
}),
'system_production_phases': None,
'tariff': dict({
'currency': dict({
'code': 'USD',
}),
'date': '1692471808',
'logger': 'mylogger',
'seasons': list([
]),
'seasons_sell': list([
]),
'single_rate': dict({
'rate': 0.0,
'sell': 0.0,
}),
'storage_settings': dict({
'charge_from_grid': True,
'date': '1692471808',
'mode': ,
'operation_mode_sub_type': '',
'opt_schedules': None,
'reserved_soc': 100.0,
'very_low_soc': 10,
}),
}),
})
# ---
# name: test_with_7_x_firmware[7.3.517_legacy_savings_mode]
dict({
'acb_power': None,
'battery_aggregate': None,
'c6cc': None,
'collar': None,
'ctmeter_consumption': None,
'ctmeter_consumption_phases': None,
'ctmeter_production': None,
'ctmeter_production_phases': None,
'ctmeter_storage': None,
'ctmeter_storage_phases': None,
'ctmeters': dict({
}),
'ctmeters_phases': dict({
}),
'dry_contact_settings': dict({
'NC1': dict({
'black_start': 5.0,
'essential_end_time': 57600.0,
'essential_start_time': 32400.0,
'generator_action': ,
'grid_action': ,
'id': 'NC1',
'load_name': 'NC1 Test',
'manual_override': True,
'micro_grid_action': ,
'mode': ,
'override': True,
'priority': 1.0,
'pv_serial_nb': list([
]),
'soc_high': 70.0,
'soc_low': 25.0,
'type': ,
}),
'NC2': dict({
'black_start': 5.0,
'essential_end_time': 57600.0,
'essential_start_time': 32400.0,
'generator_action': ,
'grid_action': ,
'id': 'NC2',
'load_name': 'NC2',
'manual_override': True,
'micro_grid_action': ,
'mode': ,
'override': True,
'priority': 2.0,
'pv_serial_nb': list([
]),
'soc_high': 70.0,
'soc_low': 30.0,
'type': ,
}),
'NO1': dict({
'black_start': 5.0,
'essential_end_time': 57600.0,
'essential_start_time': 32400.0,
'generator_action': ,
'grid_action': ,
'id': 'NO1',
'load_name': 'No1',
'manual_override': True,
'micro_grid_action': ,
'mode': ,
'override': True,
'priority': 3.0,
'pv_serial_nb': list([
]),
'soc_high': 70.0,
'soc_low': 30.0,
'type': ,
}),
'NO2': dict({
'black_start': 5.0,
'essential_end_time': 57600.0,
'essential_start_time': 32400.0,
'generator_action': ,
'grid_action': ,
'id': 'NO2',
'load_name': 'NO2',
'manual_override': True,
'micro_grid_action': ,
'mode': ,
'override': True,
'priority': 4.0,
'pv_serial_nb': list([
]),
'soc_high': 70.0,
'soc_low': 30.0,
'type': ,
}),
}),
'dry_contact_status': dict({
'NC1': dict({
'id': 'NC1',
'status': ,
}),
'NC2': dict({
'id': 'NC2',
'status': ,
}),
'NO1': dict({
'id': 'NO1',
'status': ,
}),
'NO2': dict({
'id': 'NO2',
'status': ,
}),
}),
'encharge_aggregate': dict({
'available_energy': 10080,
'backup_reserve': 10080,
'configured_reserve_state_of_charge': 100,
'max_available_capacity': 10080,
'reserve_state_of_charge': 100,
'state_of_charge': 100,
}),
'encharge_inventory': dict({
'122035013273': dict({
'admin_state': 6,
'admin_state_str': 'ENCHG_STATE_READY',
'bmu_firmware_version': '2.1.27',
'comm_level_2_4_ghz': 5,
'comm_level_sub_ghz': 5,
'communicating': True,
'dc_switch_off': False,
'encharge_capacity': 3360,
'encharge_revision': 1,
'firmware_loaded_date': 1692651649,
'firmware_version': '2.0.5663_rel/22.13',
'installed_date': 1692651649,
'last_report_date': 1692817971,
'led_status': 14,
'max_cell_temp': 28,
'operating': True,
'part_number': '830-00703-r67',
'percent_full': 100,
'serial_number': '122035013273',
'temperature': 28,
'temperature_unit': 'C',
'zigbee_dongle_fw_version': '100B',
}),
'122035013278': dict({
'admin_state': 6,
'admin_state_str': 'ENCHG_STATE_READY',
'bmu_firmware_version': '2.1.27',
'comm_level_2_4_ghz': 5,
'comm_level_sub_ghz': 5,
'communicating': True,
'dc_switch_off': False,
'encharge_capacity': 3360,
'encharge_revision': 1,
'firmware_loaded_date': 1692651650,
'firmware_version': '2.0.5663_rel/22.13',
'installed_date': 1692651650,
'last_report_date': 1692817716,
'led_status': 14,
'max_cell_temp': 29,
'operating': True,
'part_number': '830-00703-r67',
'percent_full': 100,
'serial_number': '122035013278',
'temperature': 28,
'temperature_unit': 'C',
'zigbee_dongle_fw_version': '100B',
}),
'122035013286': dict({
'admin_state': 6,
'admin_state_str': 'ENCHG_STATE_READY',
'bmu_firmware_version': '2.1.27',
'comm_level_2_4_ghz': 5,
'comm_level_sub_ghz': 5,
'communicating': True,
'dc_switch_off': False,
'encharge_capacity': 3360,
'encharge_revision': 1,
'firmware_loaded_date': 1692779890,
'firmware_version': '2.0.5663_rel/22.13',
'installed_date': 1692779890,
'last_report_date': 1692817944,
'led_status': 14,
'max_cell_temp': 29,
'operating': True,
'part_number': '830-00703-r67',
'percent_full': 100,
'serial_number': '122035013286',
'temperature': 28,
'temperature_unit': 'C',
'zigbee_dongle_fw_version': '100B',
}),
}),
'encharge_power': dict({
'122035013273': dict({
'apparent_power_mva': 0,
'real_power_mw': 0,
'soc': 100,
}),
'122035013278': dict({
'apparent_power_mva': 0,
'real_power_mw': 0,
'soc': 100,
}),
'122035013286': dict({
'apparent_power_mva': 0,
'real_power_mw': 0,
'soc': 100,
}),
}),
'enpower': dict({
'admin_state': 24,
'admin_state_str': 'ENPWR_STATE_OPER_CLOSED',
'comm_level_2_4_ghz': 5,
'comm_level_sub_ghz': 5,
'communicating': True,
'firmware_loaded_date': 1692651723,
'firmware_version': '1.5.5229_rel/22.13',
'grid_mode': 'multimode-ongrid',
'installed_date': 1692651723,
'last_report_date': 1692817873,
'mains_admin_state': 'closed',
'mains_oper_state': 'closed',
'operating': True,
'part_number': '860-00276-r28',
'serial_number': '122029016399',
'temperature': 88,
'temperature_unit': 'F',
'zigbee_dongle_fw_version': '100B',
}),
'inverters': dict({
'202042084581': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817988,
'last_report_duration': None,
'last_report_watts': 199,
'lifetime_energy': None,
'max_report_watts': 245,
'serial_number': '202042084581',
'temperature': None,
}),
'202042085758': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817781,
'last_report_duration': None,
'last_report_watts': 198,
'lifetime_energy': None,
'max_report_watts': 243,
'serial_number': '202042085758',
'temperature': None,
}),
'202043001326': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817929,
'last_report_duration': None,
'last_report_watts': 205,
'lifetime_energy': None,
'max_report_watts': 244,
'serial_number': '202043001326',
'temperature': None,
}),
'202043001340': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817840,
'last_report_duration': None,
'last_report_watts': 220,
'lifetime_energy': None,
'max_report_watts': 245,
'serial_number': '202043001340',
'temperature': None,
}),
'202043001781': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817838,
'last_report_duration': None,
'last_report_watts': 218,
'lifetime_energy': None,
'max_report_watts': 245,
'serial_number': '202043001781',
'temperature': None,
}),
'202043002628': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817754,
'last_report_duration': None,
'last_report_watts': 188,
'lifetime_energy': None,
'max_report_watts': 245,
'serial_number': '202043002628',
'temperature': None,
}),
'202043002631': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817819,
'last_report_duration': None,
'last_report_watts': 212,
'lifetime_energy': None,
'max_report_watts': 243,
'serial_number': '202043002631',
'temperature': None,
}),
'202043002733': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817871,
'last_report_duration': None,
'last_report_watts': 212,
'lifetime_energy': None,
'max_report_watts': 244,
'serial_number': '202043002733',
'temperature': None,
}),
'202043002762': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817752,
'last_report_duration': None,
'last_report_watts': 186,
'lifetime_energy': None,
'max_report_watts': 244,
'serial_number': '202043002762',
'temperature': None,
}),
'202043002877': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817778,
'last_report_duration': None,
'last_report_watts': 197,
'lifetime_energy': None,
'max_report_watts': 244,
'serial_number': '202043002877',
'temperature': None,
}),
'202043002943': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817753,
'last_report_duration': None,
'last_report_watts': 187,
'lifetime_energy': None,
'max_report_watts': 242,
'serial_number': '202043002943',
'temperature': None,
}),
'202043003123': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817816,
'last_report_duration': None,
'last_report_watts': 209,
'lifetime_energy': None,
'max_report_watts': 245,
'serial_number': '202043003123',
'temperature': None,
}),
'202043003256': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817841,
'last_report_duration': None,
'last_report_watts': 218,
'lifetime_energy': None,
'max_report_watts': 245,
'serial_number': '202043003256',
'temperature': None,
}),
'202043003454': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817816,
'last_report_duration': None,
'last_report_watts': 211,
'lifetime_energy': None,
'max_report_watts': 243,
'serial_number': '202043003454',
'temperature': None,
}),
'202043003467': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817748,
'last_report_duration': None,
'last_report_watts': 186,
'lifetime_energy': None,
'max_report_watts': 245,
'serial_number': '202043003467',
'temperature': None,
}),
'202043003473': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817928,
'last_report_duration': None,
'last_report_watts': 209,
'lifetime_energy': None,
'max_report_watts': 243,
'serial_number': '202043003473',
'temperature': None,
}),
'202043003484': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817869,
'last_report_duration': None,
'last_report_watts': 213,
'lifetime_energy': None,
'max_report_watts': 244,
'serial_number': '202043003484',
'temperature': None,
}),
'202043003803': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817808,
'last_report_duration': None,
'last_report_watts': 210,
'lifetime_energy': None,
'max_report_watts': 244,
'serial_number': '202043003803',
'temperature': None,
}),
'202106021181': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817958,
'last_report_duration': None,
'last_report_watts': 204,
'lifetime_energy': None,
'max_report_watts': 243,
'serial_number': '202106021181',
'temperature': None,
}),
'202106046579': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817965,
'last_report_duration': None,
'last_report_watts': 201,
'lifetime_energy': None,
'max_report_watts': 244,
'serial_number': '202106046579',
'temperature': None,
}),
'202106046737': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817754,
'last_report_duration': None,
'last_report_watts': 187,
'lifetime_energy': None,
'max_report_watts': 244,
'serial_number': '202106046737',
'temperature': None,
}),
'202106049949': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692817841,
'last_report_duration': None,
'last_report_watts': 220,
'lifetime_energy': None,
'max_report_watts': 244,
'serial_number': '202106049949',
'temperature': None,
}),
}),
'raw': dict({
'/admin/lib/tariff': dict({
'schedule': dict({
'battery_mode': 'backup',
'charge_from_grid': True,
'date': '2023-08-19 19:04:23 UTC',
'operation_mode_sub_type': '',
'override': False,
'override_backup_soc': 30.0,
'override_chg_dischg_rate': 0.0,
'override_tou_mode': 'StorageTouMode_DEFAULT_TOU_MODE',
'reserved_soc': 100.0,
'schedule': dict({
'Disable': list([
dict({
'Sun': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Mon': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Tue': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Wed': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Thu': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Fri': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Sat': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
]),
'tariff': list([
dict({
'Fri': list([
dict({
'duration': 1440,
'setting': 'CG',
'start': 0,
}),
]),
'Mon': list([
dict({
'duration': 1440,
'setting': 'CG',
'start': 0,
}),
]),
'Sat': list([
dict({
'duration': 1440,
'setting': 'CG',
'start': 0,
}),
]),
'Sun': list([
dict({
'duration': 1440,
'setting': 'CG',
'start': 0,
}),
]),
'Thu': list([
dict({
'duration': 1440,
'setting': 'CG',
'start': 0,
}),
]),
'Tue': list([
dict({
'duration': 1440,
'setting': 'CG',
'start': 0,
}),
]),
'Wed': list([
dict({
'duration': 1440,
'setting': 'CG',
'start': 0,
}),
]),
'end': '1/1',
'start': '1/1',
}),
]),
}),
'source': 'Tariff',
'version': '00.00.02',
'very_low_soc': 10,
}),
'tariff': dict({
'currency': dict({
'code': 'USD',
}),
'date': '1692471808',
'logger': 'mylogger',
'seasons': list([
]),
'seasons_sell': list([
]),
'single_rate': dict({
'rate': 0.0,
'sell': 0.0,
}),
'storage_settings': dict({
'charge_from_grid': True,
'date': '1692471808',
'mode': 'savings-mode',
'operation_mode_sub_type': '',
'reserved_soc': 100.0,
'very_low_soc': 10,
}),
}),
}),
'/api/v1/production/inverters': list([
dict({
'devType': 1,
'lastReportDate': 1692817928,
'lastReportWatts': 209,
'maxReportWatts': 243,
'serialNumber': '202043003473',
}),
dict({
'devType': 1,
'lastReportDate': 1692817869,
'lastReportWatts': 213,
'maxReportWatts': 244,
'serialNumber': '202043003484',
}),
dict({
'devType': 1,
'lastReportDate': 1692817778,
'lastReportWatts': 197,
'maxReportWatts': 244,
'serialNumber': '202043002877',
}),
dict({
'devType': 1,
'lastReportDate': 1692817808,
'lastReportWatts': 210,
'maxReportWatts': 244,
'serialNumber': '202043003803',
}),
dict({
'devType': 1,
'lastReportDate': 1692817838,
'lastReportWatts': 218,
'maxReportWatts': 245,
'serialNumber': '202043001781',
}),
dict({
'devType': 1,
'lastReportDate': 1692817748,
'lastReportWatts': 186,
'maxReportWatts': 245,
'serialNumber': '202043003467',
}),
dict({
'devType': 1,
'lastReportDate': 1692817929,
'lastReportWatts': 205,
'maxReportWatts': 244,
'serialNumber': '202043001326',
}),
dict({
'devType': 1,
'lastReportDate': 1692817781,
'lastReportWatts': 198,
'maxReportWatts': 243,
'serialNumber': '202042085758',
}),
dict({
'devType': 1,
'lastReportDate': 1692817958,
'lastReportWatts': 204,
'maxReportWatts': 243,
'serialNumber': '202106021181',
}),
dict({
'devType': 1,
'lastReportDate': 1692817871,
'lastReportWatts': 212,
'maxReportWatts': 244,
'serialNumber': '202043002733',
}),
dict({
'devType': 1,
'lastReportDate': 1692817752,
'lastReportWatts': 186,
'maxReportWatts': 244,
'serialNumber': '202043002762',
}),
dict({
'devType': 1,
'lastReportDate': 1692817841,
'lastReportWatts': 220,
'maxReportWatts': 244,
'serialNumber': '202106049949',
}),
dict({
'devType': 1,
'lastReportDate': 1692817753,
'lastReportWatts': 187,
'maxReportWatts': 242,
'serialNumber': '202043002943',
}),
dict({
'devType': 1,
'lastReportDate': 1692817840,
'lastReportWatts': 220,
'maxReportWatts': 245,
'serialNumber': '202043001340',
}),
dict({
'devType': 1,
'lastReportDate': 1692817754,
'lastReportWatts': 188,
'maxReportWatts': 245,
'serialNumber': '202043002628',
}),
dict({
'devType': 1,
'lastReportDate': 1692817754,
'lastReportWatts': 187,
'maxReportWatts': 244,
'serialNumber': '202106046737',
}),
dict({
'devType': 1,
'lastReportDate': 1692817841,
'lastReportWatts': 218,
'maxReportWatts': 245,
'serialNumber': '202043003256',
}),
dict({
'devType': 1,
'lastReportDate': 1692817965,
'lastReportWatts': 201,
'maxReportWatts': 244,
'serialNumber': '202106046579',
}),
dict({
'devType': 1,
'lastReportDate': 1692817988,
'lastReportWatts': 199,
'maxReportWatts': 245,
'serialNumber': '202042084581',
}),
dict({
'devType': 1,
'lastReportDate': 1692817816,
'lastReportWatts': 211,
'maxReportWatts': 243,
'serialNumber': '202043003454',
}),
dict({
'devType': 1,
'lastReportDate': 1692817816,
'lastReportWatts': 209,
'maxReportWatts': 245,
'serialNumber': '202043003123',
}),
dict({
'devType': 1,
'lastReportDate': 1692817819,
'lastReportWatts': 212,
'maxReportWatts': 243,
'serialNumber': '202043002631',
}),
]),
'/ivp/ensemble/dry_contacts': dict({
'dry_contacts': list([
dict({
'id': 'NC1',
'status': 'closed',
}),
dict({
'id': 'NC2',
'status': 'closed',
}),
dict({
'id': 'NO1',
'status': 'closed',
}),
dict({
'id': 'NO2',
'status': 'closed',
}),
]),
}),
'/ivp/ensemble/inventory': list([
dict({
'devices': list([
dict({
'admin_state': 6,
'admin_state_str': 'ENCHG_STATE_READY',
'bmu_fw_version': '2.1.27',
'comm_level_2_4_ghz': 5,
'comm_level_sub_ghz': 5,
'communicating': True,
'created_date': 1692651649,
'dc_switch_off': False,
'device_status': list([
'envoy.global.ok',
'prop.done',
]),
'encharge_capacity': 3360,
'encharge_rev': 1,
'img_load_date': 1692651649,
'img_pnum_running': '2.0.5663_rel/22.13',
'installed': 1692651649,
'last_rpt_date': 1692817971,
'led_status': 14,
'maxCellTemp': 28,
'operating': True,
'part_num': '830-00703-r67',
'percentFull': 100,
'serial_num': '122035013273',
'sleep_enabled': False,
'temperature': 28,
'zigbee_dongle_fw_version': '100B',
}),
dict({
'admin_state': 6,
'admin_state_str': 'ENCHG_STATE_READY',
'bmu_fw_version': '2.1.27',
'comm_level_2_4_ghz': 5,
'comm_level_sub_ghz': 5,
'communicating': True,
'created_date': 1692651650,
'dc_switch_off': False,
'device_status': list([
'envoy.global.ok',
'prop.done',
]),
'encharge_capacity': 3360,
'encharge_rev': 1,
'img_load_date': 1692651650,
'img_pnum_running': '2.0.5663_rel/22.13',
'installed': 1692651650,
'last_rpt_date': 1692817716,
'led_status': 14,
'maxCellTemp': 29,
'operating': True,
'part_num': '830-00703-r67',
'percentFull': 100,
'serial_num': '122035013278',
'sleep_enabled': False,
'temperature': 28,
'zigbee_dongle_fw_version': '100B',
}),
dict({
'admin_state': 6,
'admin_state_str': 'ENCHG_STATE_READY',
'bmu_fw_version': '2.1.27',
'comm_level_2_4_ghz': 5,
'comm_level_sub_ghz': 5,
'communicating': True,
'created_date': 1692779890,
'dc_switch_off': False,
'device_status': list([
'envoy.global.ok',
'prop.done',
]),
'encharge_capacity': 3360,
'encharge_rev': 1,
'img_load_date': 1692779890,
'img_pnum_running': '2.0.5663_rel/22.13',
'installed': 1692779890,
'last_rpt_date': 1692817944,
'led_status': 14,
'maxCellTemp': 29,
'operating': True,
'part_num': '830-00703-r67',
'percentFull': 100,
'serial_num': '122035013286',
'sleep_enabled': False,
'temperature': 28,
'zigbee_dongle_fw_version': '100B',
}),
]),
'type': 'ENCHARGE',
}),
dict({
'devices': list([
dict({
'Enchg_grid_mode': 'multimode-ongrid',
'Enpwr_curr_state_id': 16,
'Enpwr_grid_mode': 'multimode-ongrid',
'Enpwr_relay_state_bm': 15664,
'admin_state': 24,
'admin_state_str': 'ENPWR_STATE_OPER_CLOSED',
'comm_level_2_4_ghz': 5,
'comm_level_sub_ghz': 5,
'communicating': True,
'created_date': 1692651723,
'device_status': list([
'envoy.global.ok',
'prop.done',
]),
'img_load_date': 1692651723,
'img_pnum_running': '1.5.5229_rel/22.13',
'installed': 1692651723,
'last_rpt_date': 1692817873,
'mains_admin_state': 'closed',
'mains_oper_state': 'closed',
'operating': True,
'part_num': '860-00276-r28',
'serial_num': '122029016399',
'temperature': 88,
'zigbee_dongle_fw_version': '100B',
}),
]),
'type': 'ENPOWER',
}),
]),
'/ivp/ensemble/power': dict({
'devices:': list([
dict({
'apparent_power_mva': 0,
'real_power_mw': 0,
'serial_num': '122035013273',
'soc': 100,
}),
dict({
'apparent_power_mva': 0,
'real_power_mw': 0,
'serial_num': '122035013278',
'soc': 100,
}),
dict({
'apparent_power_mva': 0,
'real_power_mw': 0,
'serial_num': '122035013286',
'soc': 100,
}),
]),
}),
'/ivp/ensemble/secctrl': dict({
'ACB_agg_energy': 0,
'ACB_agg_soc': 0,
'ENC_agg_avail_energy': 10080,
'ENC_agg_backup_energy': 10080,
'ENC_agg_soc': 100,
'Enc_commissioned_capacity': 10080,
'Enc_max_available_capacity': 10080,
'Max_energy': 10080,
'adjusted_backup_soc': 100,
'agg_soc': 100,
'configured_backup_soc': 100,
'freq_bias_hz': -1.3200000524520874,
'freq_bias_hz_phaseb': 0.0,
'freq_bias_hz_phasec': 0.0,
'freq_bias_hz_q8': -2123,
'freq_bias_hz_q8_phaseb': 0,
'freq_bias_hz_q8_phasec': 0,
'shutdown': False,
'voltage_bias_v': -16.0,
'voltage_bias_v_phaseb': 0.0,
'voltage_bias_v_phasec': 0.0,
'voltage_bias_v_q5': -512,
'voltage_bias_v_q5_phaseb': 0,
'voltage_bias_v_q5_phasec': 0,
}),
'/ivp/ss/dry_contact_settings': dict({
'dry_contacts': list([
dict({
'black_s_start': 5.0,
'essential_end_time': 57600.0,
'essential_start_time': 32400.0,
'gen_action': 'shed',
'grid_action': 'apply',
'id': 'NC1',
'load_name': 'NC1 Test',
'manual_override': 'true',
'micro_grid_action': 'shed',
'mode': 'manual',
'override': 'true',
'priority': 1.0,
'pv_serial_nb': list([
]),
'soc_high': 70.0,
'soc_low': 25.0,
'type': 'LOAD',
}),
dict({
'black_s_start': 5.0,
'essential_end_time': 57600.0,
'essential_start_time': 32400.0,
'gen_action': 'shed',
'grid_action': 'apply',
'id': 'NC2',
'load_name': 'NC2',
'manual_override': 'true',
'micro_grid_action': 'shed',
'mode': 'manual',
'override': 'true',
'priority': 2.0,
'pv_serial_nb': list([
]),
'soc_high': 70.0,
'soc_low': 30.0,
'type': 'LOAD',
}),
dict({
'black_s_start': 5.0,
'essential_end_time': 57600.0,
'essential_start_time': 32400.0,
'gen_action': 'apply',
'grid_action': 'shed',
'id': 'NO1',
'load_name': 'No1',
'manual_override': 'true',
'micro_grid_action': 'apply',
'mode': 'manual',
'override': 'true',
'priority': 3.0,
'pv_serial_nb': list([
]),
'soc_high': 70.0,
'soc_low': 30.0,
'type': 'LOAD',
}),
dict({
'black_s_start': 5.0,
'essential_end_time': 57600.0,
'essential_start_time': 32400.0,
'gen_action': 'apply',
'grid_action': 'shed',
'id': 'NO2',
'load_name': 'NO2',
'manual_override': 'true',
'micro_grid_action': 'apply',
'mode': 'manual',
'override': 'true',
'priority': 4.0,
'pv_serial_nb': list([
]),
'soc_high': 70.0,
'soc_low': 30.0,
'type': 'LOAD',
}),
]),
}),
'/production.json?details=1': dict({
'consumption': list([
dict({
'activeCount': 1,
'apprntPwr': 3159.183,
'measurementType': 'total-consumption',
'pwrFactor': 1.0,
'reactPwr': 120.73,
'readingTime': 1692818014,
'rmsCurrent': 25.982,
'rmsVoltage': 243.198,
'type': 'eim',
'vahLifetime': 35703441.404,
'vahToday': 20422.404,
'varhLagLifetime': -9185383.698,
'varhLagToday': 0.0,
'varhLeadLifetime': 13182910.813,
'varhLeadToday': 8438.813,
'wNow': 3791.075,
'whLastSevenDays': 852.104,
'whLifetime': 27629799.104,
'whToday': 24292.104,
}),
dict({
'activeCount': 1,
'apprntPwr': -1322.483,
'measurementType': 'net-consumption',
'pwrFactor': -1.0,
'reactPwr': -287.032,
'readingTime': 1692818014,
'rmsCurrent': -10.874,
'rmsVoltage': 243.198,
'type': 'eim',
'vahLifetime': 35703441.404,
'vahToday': 0,
'varhLagLifetime': 190188.018,
'varhLagToday': 0,
'varhLeadLifetime': 13182911.259,
'varhLeadToday': 0,
'wNow': -765.064,
'whLastSevenDays': 0,
'whLifetime': 8436418.891,
'whToday': 0,
}),
]),
'production': list([
dict({
'activeCount': 22,
'readingTime': 1692817988,
'type': 'inverters',
'wNow': 4490,
'whLifetime': 183353,
}),
dict({
'activeCount': 1,
'apprntPwr': 4646.052,
'measurementType': 'production',
'pwrFactor': 0.98,
'reactPwr': 407.762,
'readingTime': 1692818014,
'rmsCurrent': 36.856,
'rmsVoltage': 243.341,
'type': 'eim',
'vahLifetime': 25459515.173,
'vahToday': 22749.173,
'varhLagLifetime': 9375571.716,
'varhLagToday': 6529.716,
'varhLeadLifetime': 0.446,
'varhLeadToday': 0.446,
'wNow': 4556.139,
'whLastSevenDays': 218714.461,
'whLifetime': 19230313.461,
'whToday': 18633.461,
}),
]),
'storage': list([
dict({
'activeCount': 0,
'readingTime': 0,
'state': 'idle',
'type': 'acb',
'wNow': 0,
'whNow': 0,
}),
]),
}),
}),
'system_consumption': dict({
'watt_hours_last_7_days': 852,
'watt_hours_lifetime': 27629799,
'watt_hours_today': 24292,
'watts_now': 3791,
}),
'system_consumption_phases': None,
'system_net_consumption': dict({
'watt_hours_last_7_days': 0,
'watt_hours_lifetime': 8436419,
'watt_hours_today': 0,
'watts_now': -765,
}),
'system_net_consumption_phases': None,
'system_production': dict({
'watt_hours_last_7_days': 218714,
'watt_hours_lifetime': 19230313,
'watt_hours_today': 18633,
'watts_now': 4556,
}),
'system_production_phases': None,
'tariff': dict({
'currency': dict({
'code': 'USD',
}),
'date': '1692471808',
'logger': 'mylogger',
'seasons': list([
]),
'seasons_sell': list([
]),
'single_rate': dict({
'rate': 0.0,
'sell': 0.0,
}),
'storage_settings': dict({
'charge_from_grid': True,
'date': '1692471808',
'mode': ,
'operation_mode_sub_type': '',
'opt_schedules': None,
'reserved_soc': 100.0,
'very_low_soc': 10,
}),
}),
})
# ---
# name: test_with_7_x_firmware[7.3.517_system_2]
dict({
'acb_power': None,
'battery_aggregate': None,
'c6cc': None,
'collar': None,
'ctmeter_consumption': dict({
'active_power': 23,
'current': 2.985,
'eid': 704643584,
'energy_delivered': 4873881,
'energy_received': 7554062,
'frequency': 60.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': 0.031,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1694553765,
'voltage': 245.008,
}),
'ctmeter_consumption_phases': dict({
: dict({
'active_power': -17,
'current': 1.18,
'eid': 1778385425,
'energy_delivered': 3374056,
'energy_received': 3340639,
'frequency': 60.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': -0.154,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1694553765,
'voltage': 122.634,
}),
: dict({
'active_power': 41,
'current': 1.806,
'eid': 1778385426,
'energy_delivered': 1499825,
'energy_received': 4213423,
'frequency': 60.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': 0.15,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1694553765,
'voltage': 122.375,
}),
}),
'ctmeter_production': dict({
'active_power': 2660,
'current': 21.736,
'eid': 704643328,
'energy_delivered': 18442497,
'energy_received': 0,
'frequency': 60.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 1.0,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1694553765,
'voltage': 244.845,
}),
'ctmeter_production_phases': dict({
: dict({
'active_power': 1331,
'current': 10.865,
'eid': 1778385169,
'energy_delivered': 9224605,
'energy_received': 0,
'frequency': 60.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 1.0,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1694553765,
'voltage': 122.565,
}),
: dict({
'active_power': 1329,
'current': 10.871,
'eid': 1778385170,
'energy_delivered': 9217892,
'energy_received': 0,
'frequency': 60.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 1.0,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1694553765,
'voltage': 122.28,
}),
}),
'ctmeter_storage': None,
'ctmeter_storage_phases': None,
'ctmeters': dict({
'net-consumption': dict({
'active_power': 23,
'current': 2.985,
'eid': 704643584,
'energy_delivered': 4873881,
'energy_received': 7554062,
'frequency': 60.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': 0.031,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1694553765,
'voltage': 245.008,
}),
'production': dict({
'active_power': 2660,
'current': 21.736,
'eid': 704643328,
'energy_delivered': 18442497,
'energy_received': 0,
'frequency': 60.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 1.0,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1694553765,
'voltage': 244.845,
}),
}),
'ctmeters_phases': dict({
'net-consumption': dict({
: dict({
'active_power': -17,
'current': 1.18,
'eid': 1778385425,
'energy_delivered': 3374056,
'energy_received': 3340639,
'frequency': 60.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': -0.154,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1694553765,
'voltage': 122.634,
}),
: dict({
'active_power': 41,
'current': 1.806,
'eid': 1778385426,
'energy_delivered': 1499825,
'energy_received': 4213423,
'frequency': 60.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': 0.15,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1694553765,
'voltage': 122.375,
}),
}),
'production': dict({
: dict({
'active_power': 1331,
'current': 10.865,
'eid': 1778385169,
'energy_delivered': 9224605,
'energy_received': 0,
'frequency': 60.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 1.0,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1694553765,
'voltage': 122.565,
}),
: dict({
'active_power': 1329,
'current': 10.871,
'eid': 1778385170,
'energy_delivered': 9217892,
'energy_received': 0,
'frequency': 60.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 1.0,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1694553765,
'voltage': 122.28,
}),
}),
}),
'dry_contact_settings': dict({
'NC1': dict({
'black_start': None,
'essential_end_time': None,
'essential_start_time': None,
'generator_action': ,
'grid_action': ,
'id': 'NC1',
'load_name': '',
'manual_override': None,
'micro_grid_action': ,
'mode': ,
'override': False,
'priority': None,
'pv_serial_nb': list([
]),
'soc_high': 70.0,
'soc_low': 30.0,
'type': ,
}),
'NC2': dict({
'black_start': None,
'essential_end_time': None,
'essential_start_time': None,
'generator_action': ,
'grid_action': ,
'id': 'NC2',
'load_name': '',
'manual_override': None,
'micro_grid_action': ,
'mode': ,
'override': False,
'priority': None,
'pv_serial_nb': list([
]),
'soc_high': 70.0,
'soc_low': 30.0,
'type': ,
}),
'NO1': dict({
'black_start': None,
'essential_end_time': None,
'essential_start_time': None,
'generator_action': ,
'grid_action': ,
'id': 'NO1',
'load_name': '',
'manual_override': None,
'micro_grid_action': ,
'mode': ,
'override': False,
'priority': None,
'pv_serial_nb': list([
]),
'soc_high': 70.0,
'soc_low': 30.0,
'type': ,
}),
'NO2': dict({
'black_start': None,
'essential_end_time': None,
'essential_start_time': None,
'generator_action': ,
'grid_action': ,
'id': 'NO2',
'load_name': '',
'manual_override': None,
'micro_grid_action': ,
'mode': ,
'override': False,
'priority': None,
'pv_serial_nb': list([
]),
'soc_high': 70.0,
'soc_low': 30.0,
'type': ,
}),
}),
'dry_contact_status': dict({
'NC1': dict({
'id': 'NC1',
'status': ,
}),
'NC2': dict({
'id': 'NC2',
'status': ,
}),
'NO1': dict({
'id': 'NO1',
'status': ,
}),
'NO2': dict({
'id': 'NO2',
'status': ,
}),
}),
'encharge_aggregate': dict({
'available_energy': 9710,
'backup_reserve': 2016,
'configured_reserve_state_of_charge': 20,
'max_available_capacity': 10080,
'reserve_state_of_charge': 20,
'state_of_charge': 96,
}),
'encharge_inventory': dict({
'122031000212': dict({
'admin_state': 6,
'admin_state_str': 'ENCHG_STATE_READY',
'bmu_firmware_version': '2.1.27',
'comm_level_2_4_ghz': 3,
'comm_level_sub_ghz': 3,
'communicating': True,
'dc_switch_off': False,
'encharge_capacity': 3360,
'encharge_revision': 1,
'firmware_loaded_date': 1693554929,
'firmware_version': '2.0.5663_rel/22.13',
'installed_date': 1693554929,
'last_report_date': 1694553651,
'led_status': 12,
'max_cell_temp': 25,
'operating': True,
'part_number': '830-00703-r64',
'percent_full': 96,
'serial_number': '122031000212',
'temperature': 25,
'temperature_unit': 'C',
'zigbee_dongle_fw_version': '100B',
}),
'122031000215': dict({
'admin_state': 6,
'admin_state_str': 'ENCHG_STATE_READY',
'bmu_firmware_version': '2.1.27',
'comm_level_2_4_ghz': 3,
'comm_level_sub_ghz': 3,
'communicating': True,
'dc_switch_off': False,
'encharge_capacity': 3360,
'encharge_revision': 1,
'firmware_loaded_date': 1693576648,
'firmware_version': '2.0.5663_rel/22.13',
'installed_date': 1693576648,
'last_report_date': 1694553547,
'led_status': 12,
'max_cell_temp': 26,
'operating': True,
'part_number': '830-00703-r64',
'percent_full': 97,
'serial_number': '122031000215',
'temperature': 25,
'temperature_unit': 'C',
'zigbee_dongle_fw_version': '100B',
}),
'122031023943': dict({
'admin_state': 6,
'admin_state_str': 'ENCHG_STATE_READY',
'bmu_firmware_version': '2.1.27',
'comm_level_2_4_ghz': 4,
'comm_level_sub_ghz': 4,
'communicating': True,
'dc_switch_off': False,
'encharge_capacity': 3360,
'encharge_revision': 1,
'firmware_loaded_date': 1694098472,
'firmware_version': '2.0.5663_rel/22.13',
'installed_date': 1694098472,
'last_report_date': 1694553574,
'led_status': 12,
'max_cell_temp': 26,
'operating': True,
'part_number': '830-00703-r64',
'percent_full': 96,
'serial_number': '122031023943',
'temperature': 25,
'temperature_unit': 'C',
'zigbee_dongle_fw_version': '100B',
}),
}),
'encharge_power': dict({
'122031000212': dict({
'apparent_power_mva': -676000,
'real_power_mw': -676000,
'soc': 96,
}),
'122031000215': dict({
'apparent_power_mva': -680000,
'real_power_mw': -680000,
'soc': 97,
}),
'122031023943': dict({
'apparent_power_mva': -676000,
'real_power_mw': -676000,
'soc': 96,
}),
}),
'enpower': dict({
'admin_state': 24,
'admin_state_str': 'ENPWR_STATE_OPER_CLOSED',
'comm_level_2_4_ghz': 2,
'comm_level_sub_ghz': 2,
'communicating': True,
'firmware_loaded_date': 1688303357,
'firmware_version': '1.5.5229_rel/22.13',
'grid_mode': 'multimode-ongrid',
'installed_date': 1688303357,
'last_report_date': 1694553566,
'mains_admin_state': 'closed',
'mains_oper_state': 'closed',
'operating': True,
'part_number': '860-00276-r33',
'serial_number': '122036058363',
'temperature': 78,
'temperature_unit': 'F',
'zigbee_dongle_fw_version': '100B',
}),
'inverters': dict({
'122004027913': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1694553576,
'last_report_duration': None,
'last_report_watts': 230,
'lifetime_energy': None,
'max_report_watts': 296,
'serial_number': '122004027913',
'temperature': None,
}),
'122004028091': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1694553426,
'last_report_duration': None,
'last_report_watts': 13,
'lifetime_energy': None,
'max_report_watts': 296,
'serial_number': '122004028091',
'temperature': None,
}),
'122004028206': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1694553697,
'last_report_duration': None,
'last_report_watts': 129,
'lifetime_energy': None,
'max_report_watts': 295,
'serial_number': '122004028206',
'temperature': None,
}),
'122004028286': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1694553702,
'last_report_duration': None,
'last_report_watts': 229,
'lifetime_energy': None,
'max_report_watts': 296,
'serial_number': '122004028286',
'temperature': None,
}),
'122004028288': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1694553606,
'last_report_duration': None,
'last_report_watts': 263,
'lifetime_energy': None,
'max_report_watts': 296,
'serial_number': '122004028288',
'temperature': None,
}),
'122004028400': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1694553427,
'last_report_duration': None,
'last_report_watts': 177,
'lifetime_energy': None,
'max_report_watts': 286,
'serial_number': '122004028400',
'temperature': None,
}),
'122004028989': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1694553456,
'last_report_duration': None,
'last_report_watts': 266,
'lifetime_energy': None,
'max_report_watts': 296,
'serial_number': '122004028989',
'temperature': None,
}),
'122004028991': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1694553699,
'last_report_duration': None,
'last_report_watts': 268,
'lifetime_energy': None,
'max_report_watts': 297,
'serial_number': '122004028991',
'temperature': None,
}),
'122004028996': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1694553546,
'last_report_duration': None,
'last_report_watts': 232,
'lifetime_energy': None,
'max_report_watts': 296,
'serial_number': '122004028996',
'temperature': None,
}),
'122004031655': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1694553607,
'last_report_duration': None,
'last_report_watts': 268,
'lifetime_energy': None,
'max_report_watts': 296,
'serial_number': '122004031655',
'temperature': None,
}),
'122004032100': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1694553549,
'last_report_duration': None,
'last_report_watts': 170,
'lifetime_energy': None,
'max_report_watts': 244,
'serial_number': '122004032100',
'temperature': None,
}),
'122004032124': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1694553457,
'last_report_duration': None,
'last_report_watts': 199,
'lifetime_energy': None,
'max_report_watts': 297,
'serial_number': '122004032124',
'temperature': None,
}),
'122004039060': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1694553698,
'last_report_duration': None,
'last_report_watts': 231,
'lifetime_energy': None,
'max_report_watts': 296,
'serial_number': '122004039060',
'temperature': None,
}),
}),
'raw': dict({
'/admin/lib/tariff': dict({
'schedule': dict({
'battery_mode': 'self-consumption',
'charge_from_grid': False,
'date': '2023-08-31 06:04:08 UTC',
'operation_mode_sub_type': '',
'override': False,
'override_backup_soc': 30.0,
'override_chg_dischg_rate': 0.0,
'override_tou_mode': 'StorageTouMode_DEFAULT_TOU_MODE',
'reserved_soc': 20.0,
'schedule': dict({
'Disable': list([
dict({
'Sun': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Mon': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Tue': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Wed': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Thu': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Fri': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Sat': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
]),
'tariff': list([
dict({
'Fri': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Mon': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Sat': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Sun': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Thu': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Tue': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Wed': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'end': '10/1',
'start': '6/1',
}),
dict({
'Fri': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Mon': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Sat': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Sun': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Thu': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Tue': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Wed': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'end': '6/1',
'start': '10/1',
}),
]),
}),
'source': 'Tariff',
'version': '00.00.02',
'very_low_soc': 10,
}),
'tariff': dict({
'currency': dict({
'code': 'USD',
}),
'date': '1693461802',
'logger': 'mylogger',
'seasons': list([
dict({
'days': list([
dict({
'days': 'Mon,Tue,Wed,Thu,Fri',
'enable_discharge_to_grid': False,
'id': 'weekdays',
'must_charge_duration': 0,
'must_charge_mode': 'CP',
'must_charge_start': 0,
'periods': list([
dict({
'id': 'filler',
'rate': 0.183109,
'start': 0,
}),
dict({
'id': 'period_1',
'rate': 0.24488,
'start': 1020,
}),
dict({
'id': 'filler',
'rate': 0.183109,
'start': 1200,
}),
]),
}),
dict({
'days': 'Sat,Sun',
'enable_discharge_to_grid': False,
'id': 'weekend',
'must_charge_duration': 0,
'must_charge_mode': 'CP',
'must_charge_start': 0,
'periods': list([
dict({
'id': 'period_1',
'rate': 0.183109,
'start': 0,
}),
dict({
'id': 'filler',
'rate': 0.0,
'start': 1439,
}),
]),
}),
]),
'id': 'summer',
'start': '6/1',
'tiers': list([
]),
}),
dict({
'days': list([
dict({
'days': 'Mon,Tue,Wed,Thu,Fri',
'enable_discharge_to_grid': False,
'id': 'weekdays',
'must_charge_duration': 0,
'must_charge_mode': 'CP',
'must_charge_start': 0,
'periods': list([
dict({
'id': 'filler',
'rate': 0.185529,
'start': 0,
}),
dict({
'id': 'period_1',
'rate': 0.196829,
'start': 1020,
}),
dict({
'id': 'filler',
'rate': 0.185529,
'start': 1200,
}),
]),
}),
dict({
'days': 'Sat,Sun',
'enable_discharge_to_grid': False,
'id': 'weekend',
'must_charge_duration': 0,
'must_charge_mode': 'CP',
'must_charge_start': 0,
'periods': list([
dict({
'id': 'period_1',
'rate': 0.185529,
'start': 0,
}),
dict({
'id': 'filler',
'rate': 0.0,
'start': 1439,
}),
]),
}),
]),
'id': 'winter',
'start': '10/1',
'tiers': list([
]),
}),
]),
'seasons_sell': list([
dict({
'days': list([
dict({
'days': 'Mon,Tue,Wed,Thu,Fri',
'id': 'weekdays',
'periods': list([
dict({
'id': 'filler',
'rate': 0.183109,
'start': 0,
}),
dict({
'id': 'period_1',
'rate': 0.24488,
'start': 1020,
}),
dict({
'id': 'filler',
'rate': 0.183109,
'start': 1200,
}),
]),
}),
dict({
'days': 'Sat,Sun',
'id': 'weekend',
'periods': list([
dict({
'id': 'period_1',
'rate': 0.183109,
'start': 0,
}),
dict({
'id': 'filler',
'rate': 0.0,
'start': 1439,
}),
]),
}),
]),
'id': 'summer',
'start': '6/1',
}),
dict({
'days': list([
dict({
'days': 'Mon,Tue,Wed,Thu,Fri',
'id': 'weekdays',
'periods': list([
dict({
'id': 'filler',
'rate': 0.185529,
'start': 0,
}),
dict({
'id': 'period_1',
'rate': 0.196829,
'start': 1020,
}),
dict({
'id': 'filler',
'rate': 0.185529,
'start': 1200,
}),
]),
}),
dict({
'days': 'Sat,Sun',
'id': 'weekend',
'periods': list([
dict({
'id': 'period_1',
'rate': 0.185529,
'start': 0,
}),
dict({
'id': 'filler',
'rate': 0.0,
'start': 1439,
}),
]),
}),
]),
'id': 'winter',
'start': '10/1',
}),
]),
'single_rate': dict({
'rate': 0.183109,
'sell': 0.183109,
}),
'storage_settings': dict({
'charge_from_grid': False,
'date': '1693461802',
'mode': 'self-consumption',
'operation_mode_sub_type': '',
'reserved_soc': 20.0,
'very_low_soc': 10,
}),
}),
}),
'/api/v1/production/inverters': list([
dict({
'devType': 1,
'lastReportDate': 1694553546,
'lastReportWatts': 232,
'maxReportWatts': 296,
'serialNumber': '122004028996',
}),
dict({
'devType': 1,
'lastReportDate': 1694553576,
'lastReportWatts': 230,
'maxReportWatts': 296,
'serialNumber': '122004027913',
}),
dict({
'devType': 1,
'lastReportDate': 1694553697,
'lastReportWatts': 129,
'maxReportWatts': 295,
'serialNumber': '122004028206',
}),
dict({
'devType': 1,
'lastReportDate': 1694553698,
'lastReportWatts': 231,
'maxReportWatts': 296,
'serialNumber': '122004039060',
}),
dict({
'devType': 1,
'lastReportDate': 1694553606,
'lastReportWatts': 263,
'maxReportWatts': 296,
'serialNumber': '122004028288',
}),
dict({
'devType': 1,
'lastReportDate': 1694553699,
'lastReportWatts': 268,
'maxReportWatts': 297,
'serialNumber': '122004028991',
}),
dict({
'devType': 1,
'lastReportDate': 1694553702,
'lastReportWatts': 229,
'maxReportWatts': 296,
'serialNumber': '122004028286',
}),
dict({
'devType': 1,
'lastReportDate': 1694553426,
'lastReportWatts': 13,
'maxReportWatts': 296,
'serialNumber': '122004028091',
}),
dict({
'devType': 1,
'lastReportDate': 1694553549,
'lastReportWatts': 170,
'maxReportWatts': 244,
'serialNumber': '122004032100',
}),
dict({
'devType': 1,
'lastReportDate': 1694553427,
'lastReportWatts': 177,
'maxReportWatts': 286,
'serialNumber': '122004028400',
}),
dict({
'devType': 1,
'lastReportDate': 1694553456,
'lastReportWatts': 266,
'maxReportWatts': 296,
'serialNumber': '122004028989',
}),
dict({
'devType': 1,
'lastReportDate': 1694553607,
'lastReportWatts': 268,
'maxReportWatts': 296,
'serialNumber': '122004031655',
}),
dict({
'devType': 1,
'lastReportDate': 1694553457,
'lastReportWatts': 199,
'maxReportWatts': 297,
'serialNumber': '122004032124',
}),
]),
'/ivp/ensemble/dry_contacts': dict({
'dry_contacts': list([
dict({
'id': 'NC1',
'status': 'open',
}),
dict({
'id': 'NC2',
'status': 'open',
}),
dict({
'id': 'NO1',
'status': 'open',
}),
dict({
'id': 'NO2',
'status': 'open',
}),
]),
}),
'/ivp/ensemble/inventory': list([
dict({
'devices': list([
dict({
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'admin_state_str': 'ENCHG_STATE_READY',
'bmu_fw_version': '2.1.27',
'comm_level_2_4_ghz': 3,
'comm_level_sub_ghz': 3,
'communicating': True,
'created_date': 1693554929,
'dc_switch_off': False,
'device_status': list([
'envoy.global.ok',
'prop.done',
]),
'encharge_capacity': 3360,
'encharge_rev': 1,
'img_load_date': 1693554929,
'img_pnum_running': '2.0.5663_rel/22.13',
'installed': 1693554929,
'last_rpt_date': 1694553651,
'led_status': 12,
'maxCellTemp': 25,
'operating': True,
'part_num': '830-00703-r64',
'percentFull': 96,
'serial_num': '122031000212',
'sleep_enabled': False,
'temperature': 25,
'zigbee_dongle_fw_version': '100B',
}),
dict({
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'admin_state_str': 'ENCHG_STATE_READY',
'bmu_fw_version': '2.1.27',
'comm_level_2_4_ghz': 3,
'comm_level_sub_ghz': 3,
'communicating': True,
'created_date': 1693576648,
'dc_switch_off': False,
'device_status': list([
'envoy.global.ok',
'prop.done',
]),
'encharge_capacity': 3360,
'encharge_rev': 1,
'img_load_date': 1693576648,
'img_pnum_running': '2.0.5663_rel/22.13',
'installed': 1693576648,
'last_rpt_date': 1694553547,
'led_status': 12,
'maxCellTemp': 26,
'operating': True,
'part_num': '830-00703-r64',
'percentFull': 97,
'serial_num': '122031000215',
'sleep_enabled': False,
'temperature': 25,
'zigbee_dongle_fw_version': '100B',
}),
dict({
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'admin_state_str': 'ENCHG_STATE_READY',
'bmu_fw_version': '2.1.27',
'comm_level_2_4_ghz': 4,
'comm_level_sub_ghz': 4,
'communicating': True,
'created_date': 1694098472,
'dc_switch_off': False,
'device_status': list([
'envoy.global.ok',
'prop.done',
]),
'encharge_capacity': 3360,
'encharge_rev': 1,
'img_load_date': 1694098472,
'img_pnum_running': '2.0.5663_rel/22.13',
'installed': 1694098472,
'last_rpt_date': 1694553574,
'led_status': 12,
'maxCellTemp': 26,
'operating': True,
'part_num': '830-00703-r64',
'percentFull': 96,
'serial_num': '122031023943',
'sleep_enabled': False,
'temperature': 25,
'zigbee_dongle_fw_version': '100B',
}),
]),
'type': 'ENCHARGE',
}),
dict({
'devices': list([
dict({
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'Enpwr_curr_state_id': 16,
'Enpwr_grid_mode': 'multimode-ongrid',
'Enpwr_relay_state_bm': 304,
'admin_state': 24,
'admin_state_str': 'ENPWR_STATE_OPER_CLOSED',
'comm_level_2_4_ghz': 2,
'comm_level_sub_ghz': 2,
'communicating': True,
'created_date': 1688303357,
'device_status': list([
'envoy.global.ok',
'prop.done',
]),
'img_load_date': 1688303357,
'img_pnum_running': '1.5.5229_rel/22.13',
'installed': 1688303357,
'last_rpt_date': 1694553566,
'mains_admin_state': 'closed',
'mains_oper_state': 'closed',
'operating': True,
'part_num': '860-00276-r33',
'serial_num': '122036058363',
'temperature': 78,
'zigbee_dongle_fw_version': '100B',
}),
]),
'type': 'ENPOWER',
}),
]),
'/ivp/ensemble/power': dict({
'devices:': list([
dict({
'apparent_power_mva': -676000,
'real_power_mw': -676000,
'serial_num': '122031000212',
'soc': 96,
}),
dict({
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'real_power_mw': -680000,
'serial_num': '122031000215',
'soc': 97,
}),
dict({
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'real_power_mw': -676000,
'serial_num': '122031023943',
'soc': 96,
}),
]),
}),
'/ivp/ensemble/secctrl': dict({
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'ACB_agg_soc': 0,
'ENC_agg_avail_energy': 9710,
'ENC_agg_backup_energy': 2016,
'ENC_agg_soc': 96,
'Enc_commissioned_capacity': 10080,
'Enc_max_available_capacity': 10080,
'Max_energy': 10080,
'adjusted_backup_soc': 20,
'agg_soc': 96,
'configured_backup_soc': 20,
'freq_bias_hz': -0.6863999962806702,
'freq_bias_hz_phaseb': 0.0,
'freq_bias_hz_phasec': 0.0,
'freq_bias_hz_q8': -1104,
'freq_bias_hz_q8_phaseb': 0,
'freq_bias_hz_q8_phasec': 0,
'shutdown': False,
'voltage_bias_v': -8.319999694824219,
'voltage_bias_v_phaseb': 0.0,
'voltage_bias_v_phasec': 0.0,
'voltage_bias_v_q5': -266,
'voltage_bias_v_q5_phaseb': 0,
'voltage_bias_v_q5_phasec': 0,
}),
'/ivp/meters': list([
dict({
'eid': 704643328,
'measurementType': 'production',
'meteringStatus': 'normal',
'phaseCount': 2,
'phaseMode': 'split',
'state': 'enabled',
'statusFlags': list([
]),
}),
dict({
'eid': 704643584,
'measurementType': 'net-consumption',
'meteringStatus': 'normal',
'phaseCount': 2,
'phaseMode': 'split',
'state': 'enabled',
'statusFlags': list([
]),
}),
]),
'/ivp/meters/readings': list([
dict({
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'actEnergyRcvd': 0.069,
'activePower': 2659.845,
'apparentEnergy': 21988447.961,
'apparentPower': 2661.49,
'channels': list([
dict({
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'eid': 1778385169,
'freq': 60.0,
'instantaneousDemand': 1330.866,
'pwrFactor': 1.0,
'reactEnergyLagg': 1823613.307,
'reactEnergyLead': 113311.01,
'reactivePower': 8.891,
'timestamp': 1694553765,
'voltage': 122.565,
}),
dict({
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'timestamp': 1694553765,
'voltage': 122.28,
}),
dict({
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'timestamp': 1694553765,
'voltage': 0.0,
}),
]),
'current': 21.736,
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'voltage': 244.845,
}),
dict({
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'channels': list([
dict({
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'timestamp': 1694553765,
'voltage': 122.634,
}),
dict({
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'reactEnergyLagg': 449728.699,
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'timestamp': 1694553765,
'voltage': 122.375,
}),
dict({
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'timestamp': 1694553765,
'voltage': 0.0,
}),
]),
'current': 2.985,
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'reactEnergyLead': 7629596.279,
'reactivePower': -240.223,
'timestamp': 1694553765,
'voltage': 245.008,
}),
]),
'/ivp/ss/dry_contact_settings': dict({
'dry_contacts': list([
dict({
'gen_action': 'none',
'grid_action': 'none',
'id': 'NC1',
'load_name': '',
'micro_grid_action': 'none',
'mode': 'manual',
'override': 'false',
'pv_serial_nb': list([
]),
'soc_high': 70.0,
'soc_low': 30.0,
'type': 'NONE',
}),
dict({
'gen_action': 'none',
'grid_action': 'none',
'id': 'NC2',
'load_name': '',
'micro_grid_action': 'none',
'mode': 'manual',
'override': 'false',
'pv_serial_nb': list([
]),
'soc_high': 70.0,
'soc_low': 30.0,
'type': 'NONE',
}),
dict({
'gen_action': 'none',
'grid_action': 'none',
'id': 'NO1',
'load_name': '',
'micro_grid_action': 'none',
'mode': 'manual',
'override': 'false',
'pv_serial_nb': list([
]),
'soc_high': 70.0,
'soc_low': 30.0,
'type': 'NONE',
}),
dict({
'gen_action': 'none',
'grid_action': 'none',
'id': 'NO2',
'load_name': '',
'micro_grid_action': 'none',
'mode': 'manual',
'override': 'false',
'pv_serial_nb': list([
]),
'soc_high': 70.0,
'soc_low': 30.0,
'type': 'NONE',
}),
]),
}),
'/production.json?details=1': dict({
'consumption': list([
dict({
'activeCount': 1,
'apprntPwr': 2748.29,
'measurementType': 'total-consumption',
'pwrFactor': 0.99,
'reactPwr': -221.854,
'readingTime': 1694553763,
'rmsCurrent': 22.422,
'rmsVoltage': 245.187,
'type': 'eim',
'vahLifetime': 18779628.073,
'vahToday': 7275.073,
'varhLagLifetime': -3141630.945,
'varhLagToday': 0.0,
'varhLeadLifetime': 7393566.746,
'varhLeadToday': 5177.746,
'wNow': 2712.776,
'whLastSevenDays': 348.638,
'whLifetime': 15745050.638,
'whToday': 12901.638,
}),
dict({
'activeCount': 1,
'apprntPwr': 83.613,
'measurementType': 'net-consumption',
'pwrFactor': 0.56,
'reactPwr': -240.621,
'readingTime': 1694553763,
'rmsCurrent': 0.686,
'rmsVoltage': 245.187,
'type': 'eim',
'vahLifetime': 18779628.073,
'vahToday': 0,
'varhLagLifetime': 499906.036,
'varhLagToday': 0,
'varhLeadLifetime': 7629596.066,
'varhLeadToday': 0,
'wNow': 49.701,
'whLastSevenDays': 0,
'whLifetime': -2662918.637,
'whToday': 0,
}),
]),
'production': list([
dict({
'activeCount': 13,
'readingTime': 1694553761,
'type': 'inverters',
'wNow': 2675,
'whLifetime': 640883,
}),
dict({
'activeCount': 1,
'apprntPwr': 2664.473,
'measurementType': 'production',
'pwrFactor': 1.0,
'reactPwr': 18.766,
'readingTime': 1694553763,
'rmsCurrent': 21.736,
'rmsVoltage': 245.138,
'type': 'eim',
'vahLifetime': 21988445.596,
'vahToday': 13609.596,
'varhLagLifetime': 3641536.981,
'varhLagToday': 2248.981,
'varhLeadLifetime': 236029.32,
'varhLeadToday': 0.32,
'wNow': 2663.075,
'whLastSevenDays': 18431345.567,
'whLifetime': 18442494.567,
'whToday': 11494.567,
}),
]),
'storage': list([
dict({
'activeCount': 0,
'readingTime': 0,
'state': 'idle',
'type': 'acb',
'wNow': 0,
'whNow': 0,
}),
]),
}),
}),
'system_consumption': dict({
'watt_hours_last_7_days': 349,
'watt_hours_lifetime': 15745051,
'watt_hours_today': 12902,
'watts_now': 2713,
}),
'system_consumption_phases': None,
'system_net_consumption': dict({
'watt_hours_last_7_days': 0,
'watt_hours_lifetime': -2662919,
'watt_hours_today': 0,
'watts_now': 50,
}),
'system_net_consumption_phases': None,
'system_production': dict({
'watt_hours_last_7_days': 18431346,
'watt_hours_lifetime': 18442495,
'watt_hours_today': 11495,
'watts_now': 2663,
}),
'system_production_phases': None,
'tariff': dict({
'currency': dict({
'code': 'USD',
}),
'date': '1693461802',
'logger': 'mylogger',
'seasons': list([
dict({
'days': list([
dict({
'days': 'Mon,Tue,Wed,Thu,Fri',
'enable_discharge_to_grid': False,
'id': 'weekdays',
'must_charge_duration': 0,
'must_charge_mode': 'CP',
'must_charge_start': 0,
'periods': list([
dict({
'id': 'filler',
'rate': 0.183109,
'start': 0,
}),
dict({
'id': 'period_1',
'rate': 0.24488,
'start': 1020,
}),
dict({
'id': 'filler',
'rate': 0.183109,
'start': 1200,
}),
]),
}),
dict({
'days': 'Sat,Sun',
'enable_discharge_to_grid': False,
'id': 'weekend',
'must_charge_duration': 0,
'must_charge_mode': 'CP',
'must_charge_start': 0,
'periods': list([
dict({
'id': 'period_1',
'rate': 0.183109,
'start': 0,
}),
dict({
'id': 'filler',
'rate': 0.0,
'start': 1439,
}),
]),
}),
]),
'id': 'summer',
'start': '6/1',
'tiers': list([
]),
}),
dict({
'days': list([
dict({
'days': 'Mon,Tue,Wed,Thu,Fri',
'enable_discharge_to_grid': False,
'id': 'weekdays',
'must_charge_duration': 0,
'must_charge_mode': 'CP',
'must_charge_start': 0,
'periods': list([
dict({
'id': 'filler',
'rate': 0.185529,
'start': 0,
}),
dict({
'id': 'period_1',
'rate': 0.196829,
'start': 1020,
}),
dict({
'id': 'filler',
'rate': 0.185529,
'start': 1200,
}),
]),
}),
dict({
'days': 'Sat,Sun',
'enable_discharge_to_grid': False,
'id': 'weekend',
'must_charge_duration': 0,
'must_charge_mode': 'CP',
'must_charge_start': 0,
'periods': list([
dict({
'id': 'period_1',
'rate': 0.185529,
'start': 0,
}),
dict({
'id': 'filler',
'rate': 0.0,
'start': 1439,
}),
]),
}),
]),
'id': 'winter',
'start': '10/1',
'tiers': list([
]),
}),
]),
'seasons_sell': list([
dict({
'days': list([
dict({
'days': 'Mon,Tue,Wed,Thu,Fri',
'id': 'weekdays',
'periods': list([
dict({
'id': 'filler',
'rate': 0.183109,
'start': 0,
}),
dict({
'id': 'period_1',
'rate': 0.24488,
'start': 1020,
}),
dict({
'id': 'filler',
'rate': 0.183109,
'start': 1200,
}),
]),
}),
dict({
'days': 'Sat,Sun',
'id': 'weekend',
'periods': list([
dict({
'id': 'period_1',
'rate': 0.183109,
'start': 0,
}),
dict({
'id': 'filler',
'rate': 0.0,
'start': 1439,
}),
]),
}),
]),
'id': 'summer',
'start': '6/1',
}),
dict({
'days': list([
dict({
'days': 'Mon,Tue,Wed,Thu,Fri',
'id': 'weekdays',
'periods': list([
dict({
'id': 'filler',
'rate': 0.185529,
'start': 0,
}),
dict({
'id': 'period_1',
'rate': 0.196829,
'start': 1020,
}),
dict({
'id': 'filler',
'rate': 0.185529,
'start': 1200,
}),
]),
}),
dict({
'days': 'Sat,Sun',
'id': 'weekend',
'periods': list([
dict({
'id': 'period_1',
'rate': 0.185529,
'start': 0,
}),
dict({
'id': 'filler',
'rate': 0.0,
'start': 1439,
}),
]),
}),
]),
'id': 'winter',
'start': '10/1',
}),
]),
'single_rate': dict({
'rate': 0.183109,
'sell': 0.183109,
}),
'storage_settings': dict({
'charge_from_grid': False,
'date': '1693461802',
'mode': ,
'operation_mode_sub_type': '',
'opt_schedules': None,
'reserved_soc': 20.0,
'very_low_soc': 10,
}),
}),
})
# ---
# name: test_with_7_x_firmware[7.6.175_with_cts]
dict({
'acb_power': None,
'battery_aggregate': None,
'c6cc': None,
'collar': None,
'ctmeter_consumption': dict({
'active_power': -36,
'current': 2.745,
'eid': 704643584,
'energy_delivered': 3738205,
'energy_received': 1776769,
'frequency': 50.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': -0.06,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 235.201,
}),
'ctmeter_consumption_phases': None,
'ctmeter_production': dict({
'active_power': 489,
'current': 2.169,
'eid': 704643328,
'energy_delivered': 3183794,
'energy_received': 8852,
'frequency': 50.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.957,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 235.236,
}),
'ctmeter_production_phases': None,
'ctmeter_storage': None,
'ctmeter_storage_phases': None,
'ctmeters': dict({
'net-consumption': dict({
'active_power': -36,
'current': 2.745,
'eid': 704643584,
'energy_delivered': 3738205,
'energy_received': 1776769,
'frequency': 50.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': -0.06,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 235.201,
}),
'production': dict({
'active_power': 489,
'current': 2.169,
'eid': 704643328,
'energy_delivered': 3183794,
'energy_received': 8852,
'frequency': 50.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.957,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 235.236,
}),
}),
'ctmeters_phases': dict({
}),
'dry_contact_settings': dict({
}),
'dry_contact_status': dict({
}),
'encharge_aggregate': None,
'encharge_inventory': None,
'encharge_power': None,
'enpower': None,
'inverters': dict({
'121823030072': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1693745036,
'last_report_duration': None,
'last_report_watts': 58,
'lifetime_energy': None,
'max_report_watts': 253,
'serial_number': '121823030072',
'temperature': None,
}),
'121823035149': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1693745066,
'last_report_duration': None,
'last_report_watts': 56,
'lifetime_energy': None,
'max_report_watts': 254,
'serial_number': '121823035149',
'temperature': None,
}),
'482243031579': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1693744825,
'last_report_duration': None,
'last_report_watts': 135,
'lifetime_energy': None,
'max_report_watts': 365,
'serial_number': '482243031579',
'temperature': None,
}),
'482243032888': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1693744828,
'last_report_duration': None,
'last_report_watts': 133,
'lifetime_energy': None,
'max_report_watts': 365,
'serial_number': '482243032888',
'temperature': None,
}),
'482243032889': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1693744946,
'last_report_duration': None,
'last_report_watts': 112,
'lifetime_energy': None,
'max_report_watts': 365,
'serial_number': '482243032889',
'temperature': None,
}),
'482243033444': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1693744829,
'last_report_duration': None,
'last_report_watts': 127,
'lifetime_energy': None,
'max_report_watts': 365,
'serial_number': '482243033444',
'temperature': None,
}),
'482250079070': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1693744828,
'last_report_duration': None,
'last_report_watts': 130,
'lifetime_energy': None,
'max_report_watts': 365,
'serial_number': '482250079070',
'temperature': None,
}),
}),
'raw': dict({
'/admin/lib/tariff': dict({
'schedule': dict({
'battery_mode': 'self-consumption',
'charge_from_grid': False,
'date': '2023-06-29 15:50:12 UTC',
'operation_mode_sub_type': '',
'override': False,
'override_backup_soc': 30.0,
'override_chg_dischg_rate': 0.0,
'override_tou_mode': 'StorageTouMode_DEFAULT_TOU_MODE',
'reserved_soc': 0.0,
'schedule': dict({
'Disable': list([
dict({
'Sun': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Mon': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Tue': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Wed': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Thu': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Fri': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Sat': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
]),
'tariff': list([
dict({
'Fri': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Mon': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Sat': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Sun': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Thu': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Tue': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Wed': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'end': '1/1',
'start': '1/1',
}),
]),
}),
'source': 'Tariff',
'version': '00.00.02',
'very_low_soc': 5,
}),
'tariff': dict({
'currency': dict({
'code': 'EUR',
}),
'date': '1688053811',
'logger': 'mylogger',
'seasons': list([
dict({
'days': list([
dict({
'days': 'Mon,Tue,Wed,Thu,Fri,Sat,Sun',
'enable_discharge_to_grid': False,
'id': 'all_days',
'must_charge_duration': 0,
'must_charge_mode': 'CG',
'must_charge_start': 0,
'periods': list([
dict({
'id': 'period_1',
'rate': 0.14,
'start': 480,
}),
dict({
'id': 'filler',
'rate': 0.01,
'start': 1320,
}),
]),
}),
]),
'id': 'all_year_long',
'start': '1/1',
'tiers': list([
]),
}),
]),
'seasons_sell': list([
]),
'single_rate': dict({
'rate': 0.01,
'sell': 0.0,
}),
'storage_settings': dict({
'charge_from_grid': False,
'date': '1688053811',
'mode': 'self-consumption',
'operation_mode_sub_type': '',
'reserved_soc': 0.0,
'very_low_soc': 5,
}),
}),
}),
'/api/v1/production/inverters': list([
dict({
'devType': 1,
'lastReportDate': 1693745036,
'lastReportWatts': 58,
'maxReportWatts': 253,
'serialNumber': '121823030072',
}),
dict({
'devType': 1,
'lastReportDate': 1693745066,
'lastReportWatts': 56,
'maxReportWatts': 254,
'serialNumber': '121823035149',
}),
dict({
'devType': 1,
'lastReportDate': 1693744825,
'lastReportWatts': 135,
'maxReportWatts': 365,
'serialNumber': '482243031579',
}),
dict({
'devType': 1,
'lastReportDate': 1693744828,
'lastReportWatts': 133,
'maxReportWatts': 365,
'serialNumber': '482243032888',
}),
dict({
'devType': 1,
'lastReportDate': 1693744828,
'lastReportWatts': 130,
'maxReportWatts': 365,
'serialNumber': '482250079070',
}),
dict({
'devType': 1,
'lastReportDate': 1693744829,
'lastReportWatts': 127,
'maxReportWatts': 365,
'serialNumber': '482243033444',
}),
dict({
'devType': 1,
'lastReportDate': 1693744946,
'lastReportWatts': 112,
'maxReportWatts': 365,
'serialNumber': '482243032889',
}),
]),
'/ivp/meters': list([
dict({
'eid': 704643328,
'measurementType': 'production',
'meteringStatus': 'normal',
'phaseCount': 1,
'phaseMode': 'three',
'state': 'enabled',
'statusFlags': list([
]),
}),
dict({
'eid': 704643584,
'measurementType': 'net-consumption',
'meteringStatus': 'normal',
'phaseCount': 1,
'phaseMode': 'three',
'state': 'enabled',
'statusFlags': list([
]),
}),
]),
'/ivp/meters/readings': list([
dict({
'actEnergyDlvd': 3183793.885,
'actEnergyRcvd': 8851.704,
'activePower': 488.925,
'apparentEnergy': 3576167.385,
'apparentPower': 510.003,
'channels': list([
dict({
'actEnergyDlvd': 3183793.885,
'actEnergyRcvd': 8851.704,
'activePower': 488.925,
'apparentEnergy': 3576167.385,
'apparentPower': 510.003,
'current': 2.169,
'eid': 1778385169,
'freq': 50.0,
'instantaneousDemand': 488.925,
'pwrFactor': 0.957,
'reactEnergyLagg': 591594.008,
'reactEnergyLead': 0.021,
'reactivePower': 114.596,
'timestamp': 1693745133,
'voltage': 235.236,
}),
dict({
'actEnergyDlvd': 0.0,
'actEnergyRcvd': 5370.79,
'activePower': 0.0,
'apparentEnergy': 295.364,
'apparentPower': 0.0,
'current': 0.0,
'eid': 1778385170,
'freq': 50.0,
'instantaneousDemand': 0.0,
'pwrFactor': 0.0,
'reactEnergyLagg': 387.143,
'reactEnergyLead': 0.0,
'reactivePower': 0.0,
'timestamp': 1693745133,
'voltage': 6.124,
}),
dict({
'actEnergyDlvd': 0.022,
'actEnergyRcvd': 9818.109,
'activePower': -1.044,
'apparentEnergy': 14032.684,
'apparentPower': 2.602,
'current': 0.227,
'eid': 1778385171,
'freq': 50.0,
'instantaneousDemand': -1.044,
'pwrFactor': -1.0,
'reactEnergyLagg': 391.775,
'reactEnergyLead': 2.189,
'reactivePower': -0.0,
'timestamp': 1693745133,
'voltage': 11.469,
}),
]),
'current': 2.169,
'eid': 704643328,
'freq': 50.0,
'instantaneousDemand': 488.925,
'pwrFactor': 0.957,
'reactEnergyLagg': 591594.008,
'reactEnergyLead': 0.021,
'reactivePower': 114.596,
'timestamp': 1693745133,
'voltage': 235.236,
}),
dict({
'actEnergyDlvd': 3738205.282,
'actEnergyRcvd': 1776768.769,
'activePower': -36.162,
'apparentEnergy': 7252190.779,
'apparentPower': 645.376,
'channels': list([
dict({
'actEnergyDlvd': 3738205.282,
'actEnergyRcvd': 1776768.769,
'activePower': -36.162,
'apparentEnergy': 7252190.779,
'apparentPower': 645.376,
'current': 2.745,
'eid': 1778385425,
'freq': 50.0,
'instantaneousDemand': -36.162,
'pwrFactor': -0.06,
'reactEnergyLagg': 251.885,
'reactEnergyLead': 3174027.145,
'reactivePower': -568.304,
'timestamp': 1693745133,
'voltage': 235.201,
}),
dict({
'actEnergyDlvd': 0.0,
'actEnergyRcvd': 8279.267,
'activePower': -0.0,
'apparentEnergy': 141.429,
'apparentPower': -0.0,
'current': 0.0,
'eid': 1778385426,
'freq': 50.0,
'instantaneousDemand': -0.0,
'pwrFactor': -1.0,
'reactEnergyLagg': 378.426,
'reactEnergyLead': 0.181,
'reactivePower': 0.0,
'timestamp': 1693745133,
'voltage': 2.981,
}),
dict({
'actEnergyDlvd': 0.013,
'actEnergyRcvd': 13980.174,
'activePower': -0.451,
'apparentEnergy': 6016.263,
'apparentPower': 1.128,
'current': 0.242,
'eid': 1778385427,
'freq': 50.0,
'instantaneousDemand': -0.451,
'pwrFactor': 0.0,
'reactEnergyLagg': 380.215,
'reactEnergyLead': 1.245,
'reactivePower': 0.0,
'timestamp': 1693745133,
'voltage': 4.635,
}),
]),
'current': 2.745,
'eid': 704643584,
'freq': 50.0,
'instantaneousDemand': -36.162,
'pwrFactor': -0.06,
'reactEnergyLagg': 251.885,
'reactEnergyLead': 3174027.145,
'reactivePower': -568.304,
'timestamp': 1693745133,
'voltage': 235.201,
}),
]),
'/production.json?details=1': dict({
'consumption': list([
dict({
'activeCount': 1,
'apprntPwr': -144.999,
'measurementType': 'total-consumption',
'pwrFactor': 1.0,
'reactPwr': -456.848,
'readingTime': 1693745129,
'rmsCurrent': -0.615,
'rmsVoltage': 235.743,
'type': 'eim',
'vahLifetime': 7252190.009,
'vahToday': 22904.009,
'varhLagLifetime': -591341.987,
'varhLagToday': 0.0,
'varhLeadLifetime': 3174026.446,
'varhLeadToday': 9602.446,
'wNow': 476.686,
'whLastSevenDays': 4.621,
'whLifetime': 5145153.621,
'whToday': 19903.621,
}),
dict({
'activeCount': 1,
'apprntPwr': -654.785,
'measurementType': 'net-consumption',
'pwrFactor': -1.0,
'reactPwr': -572.697,
'readingTime': 1693745129,
'rmsCurrent': -2.778,
'rmsVoltage': 235.743,
'type': 'eim',
'vahLifetime': 7252190.009,
'vahToday': 0,
'varhLagLifetime': 251.885,
'varhLagToday': 0,
'varhLeadLifetime': 3174026.466,
'varhLeadToday': 0,
'wNow': -11.468,
'whLastSevenDays': 0,
'whLifetime': 1961512.786,
'whToday': 0,
}),
]),
'production': list([
dict({
'activeCount': 7,
'readingTime': 1693745066,
'type': 'inverters',
'wNow': 751,
'whLifetime': 702919,
}),
dict({
'activeCount': 1,
'apprntPwr': 509.902,
'measurementType': 'production',
'pwrFactor': 0.97,
'reactPwr': 115.849,
'readingTime': 1693745129,
'rmsCurrent': 2.162,
'rmsVoltage': 235.777,
'type': 'eim',
'vahLifetime': 3576166.777,
'vahToday': 5461.777,
'varhLagLifetime': 591593.872,
'varhLagToday': 1483.872,
'varhLeadLifetime': 0.021,
'varhLeadToday': 0.021,
'wNow': 488.154,
'whLastSevenDays': 111093.303,
'whLifetime': 3183793.303,
'whToday': 4425.303,
}),
]),
'storage': list([
dict({
'activeCount': 0,
'readingTime': 0,
'state': 'idle',
'type': 'acb',
'wNow': 0,
'whNow': 0,
}),
]),
}),
}),
'system_consumption': dict({
'watt_hours_last_7_days': 5,
'watt_hours_lifetime': 5145154,
'watt_hours_today': 19904,
'watts_now': 477,
}),
'system_consumption_phases': None,
'system_net_consumption': dict({
'watt_hours_last_7_days': 0,
'watt_hours_lifetime': 1961513,
'watt_hours_today': 0,
'watts_now': -11,
}),
'system_net_consumption_phases': None,
'system_production': dict({
'watt_hours_last_7_days': 111093,
'watt_hours_lifetime': 3183793,
'watt_hours_today': 4425,
'watts_now': 488,
}),
'system_production_phases': None,
'tariff': dict({
'currency': dict({
'code': 'EUR',
}),
'date': '1688053811',
'logger': 'mylogger',
'seasons': list([
dict({
'days': list([
dict({
'days': 'Mon,Tue,Wed,Thu,Fri,Sat,Sun',
'enable_discharge_to_grid': False,
'id': 'all_days',
'must_charge_duration': 0,
'must_charge_mode': 'CG',
'must_charge_start': 0,
'periods': list([
dict({
'id': 'period_1',
'rate': 0.14,
'start': 480,
}),
dict({
'id': 'filler',
'rate': 0.01,
'start': 1320,
}),
]),
}),
]),
'id': 'all_year_long',
'start': '1/1',
'tiers': list([
]),
}),
]),
'seasons_sell': list([
]),
'single_rate': dict({
'rate': 0.01,
'sell': 0.0,
}),
'storage_settings': dict({
'charge_from_grid': False,
'date': '1688053811',
'mode': ,
'operation_mode_sub_type': '',
'opt_schedules': None,
'reserved_soc': 0.0,
'very_low_soc': 5,
}),
}),
})
# ---
# name: test_with_7_x_firmware[7.6.175_with_cts_3phase]
dict({
'acb_power': None,
'battery_aggregate': None,
'c6cc': None,
'collar': None,
'ctmeter_consumption': dict({
'active_power': -36,
'current': 2.745,
'eid': 704643584,
'energy_delivered': 3738205,
'energy_received': 1776769,
'frequency': 50.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': -0.06,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 235.201,
}),
'ctmeter_consumption_phases': dict({
: dict({
'active_power': -36,
'current': 2.745,
'eid': 1778385425,
'energy_delivered': 3738205,
'energy_received': 1776769,
'frequency': 50.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': -0.06,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 235.201,
}),
: dict({
'active_power': 0,
'current': 0.0,
'eid': 1778385426,
'energy_delivered': 0,
'energy_received': 8279,
'frequency': 50.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': -1.0,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 2.981,
}),
: dict({
'active_power': 0,
'current': 0.242,
'eid': 1778385427,
'energy_delivered': 0,
'energy_received': 13980,
'frequency': 50.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': 0.0,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 4.635,
}),
}),
'ctmeter_production': dict({
'active_power': 489,
'current': 2.169,
'eid': 704643328,
'energy_delivered': 3183794,
'energy_received': 8852,
'frequency': 50.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.957,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 235.236,
}),
'ctmeter_production_phases': dict({
: dict({
'active_power': 489,
'current': 2.169,
'eid': 1778385169,
'energy_delivered': 3183794,
'energy_received': 8852,
'frequency': 50.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.957,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 235.236,
}),
: dict({
'active_power': 0,
'current': 0.0,
'eid': 1778385170,
'energy_delivered': 0,
'energy_received': 5371,
'frequency': 50.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.0,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 6.124,
}),
: dict({
'active_power': -1,
'current': 0.227,
'eid': 1778385171,
'energy_delivered': 0,
'energy_received': 9818,
'frequency': 50.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': -1.0,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 11.469,
}),
}),
'ctmeter_storage': None,
'ctmeter_storage_phases': None,
'ctmeters': dict({
'net-consumption': dict({
'active_power': -36,
'current': 2.745,
'eid': 704643584,
'energy_delivered': 3738205,
'energy_received': 1776769,
'frequency': 50.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': -0.06,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 235.201,
}),
'production': dict({
'active_power': 489,
'current': 2.169,
'eid': 704643328,
'energy_delivered': 3183794,
'energy_received': 8852,
'frequency': 50.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.957,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 235.236,
}),
}),
'ctmeters_phases': dict({
'net-consumption': dict({
: dict({
'active_power': -36,
'current': 2.745,
'eid': 1778385425,
'energy_delivered': 3738205,
'energy_received': 1776769,
'frequency': 50.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': -0.06,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 235.201,
}),
: dict({
'active_power': 0,
'current': 0.0,
'eid': 1778385426,
'energy_delivered': 0,
'energy_received': 8279,
'frequency': 50.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': -1.0,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 2.981,
}),
: dict({
'active_power': 0,
'current': 0.242,
'eid': 1778385427,
'energy_delivered': 0,
'energy_received': 13980,
'frequency': 50.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': 0.0,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 4.635,
}),
}),
'production': dict({
: dict({
'active_power': 489,
'current': 2.169,
'eid': 1778385169,
'energy_delivered': 3183794,
'energy_received': 8852,
'frequency': 50.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.957,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 235.236,
}),
: dict({
'active_power': 0,
'current': 0.0,
'eid': 1778385170,
'energy_delivered': 0,
'energy_received': 5371,
'frequency': 50.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.0,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 6.124,
}),
: dict({
'active_power': -1,
'current': 0.227,
'eid': 1778385171,
'energy_delivered': 0,
'energy_received': 9818,
'frequency': 50.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': -1.0,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1693745133,
'voltage': 11.469,
}),
}),
}),
'dry_contact_settings': dict({
}),
'dry_contact_status': dict({
}),
'encharge_aggregate': None,
'encharge_inventory': None,
'encharge_power': None,
'enpower': None,
'inverters': dict({
'121823030072': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1693745036,
'last_report_duration': None,
'last_report_watts': 58,
'lifetime_energy': None,
'max_report_watts': 253,
'serial_number': '121823030072',
'temperature': None,
}),
'121823035149': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1693745066,
'last_report_duration': None,
'last_report_watts': 56,
'lifetime_energy': None,
'max_report_watts': 254,
'serial_number': '121823035149',
'temperature': None,
}),
'482243031579': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1693744825,
'last_report_duration': None,
'last_report_watts': 135,
'lifetime_energy': None,
'max_report_watts': 365,
'serial_number': '482243031579',
'temperature': None,
}),
'482243032888': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1693744828,
'last_report_duration': None,
'last_report_watts': 133,
'lifetime_energy': None,
'max_report_watts': 365,
'serial_number': '482243032888',
'temperature': None,
}),
'482243032889': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1693744946,
'last_report_duration': None,
'last_report_watts': 112,
'lifetime_energy': None,
'max_report_watts': 365,
'serial_number': '482243032889',
'temperature': None,
}),
'482243033444': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1693744829,
'last_report_duration': None,
'last_report_watts': 127,
'lifetime_energy': None,
'max_report_watts': 365,
'serial_number': '482243033444',
'temperature': None,
}),
'482250079070': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1693744828,
'last_report_duration': None,
'last_report_watts': 130,
'lifetime_energy': None,
'max_report_watts': 365,
'serial_number': '482250079070',
'temperature': None,
}),
}),
'raw': dict({
'/admin/lib/tariff': dict({
'schedule': dict({
'battery_mode': 'self-consumption',
'charge_from_grid': False,
'date': '2023-06-29 15:50:12 UTC',
'operation_mode_sub_type': '',
'override': False,
'override_backup_soc': 30.0,
'override_chg_dischg_rate': 0.0,
'override_tou_mode': 'StorageTouMode_DEFAULT_TOU_MODE',
'reserved_soc': 0.0,
'schedule': dict({
'Disable': list([
dict({
'Sun': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Mon': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Tue': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Wed': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Thu': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Fri': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Sat': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
]),
'tariff': list([
dict({
'Fri': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Mon': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Sat': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Sun': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Thu': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Tue': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Wed': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'end': '1/1',
'start': '1/1',
}),
]),
}),
'source': 'Tariff',
'version': '00.00.02',
'very_low_soc': 5,
}),
'tariff': dict({
'currency': dict({
'code': 'EUR',
}),
'date': '1688053811',
'logger': 'mylogger',
'seasons': list([
dict({
'days': list([
dict({
'days': 'Mon,Tue,Wed,Thu,Fri,Sat,Sun',
'enable_discharge_to_grid': False,
'id': 'all_days',
'must_charge_duration': 0,
'must_charge_mode': 'CG',
'must_charge_start': 0,
'periods': list([
dict({
'id': 'period_1',
'rate': 0.14,
'start': 480,
}),
dict({
'id': 'filler',
'rate': 0.01,
'start': 1320,
}),
]),
}),
]),
'id': 'all_year_long',
'start': '1/1',
'tiers': list([
]),
}),
]),
'seasons_sell': list([
]),
'single_rate': dict({
'rate': 0.01,
'sell': 0.0,
}),
'storage_settings': dict({
'charge_from_grid': False,
'date': '1688053811',
'mode': 'self-consumption',
'operation_mode_sub_type': '',
'reserved_soc': 0.0,
'very_low_soc': 5,
}),
}),
}),
'/api/v1/production/inverters': list([
dict({
'devType': 1,
'lastReportDate': 1693745036,
'lastReportWatts': 58,
'maxReportWatts': 253,
'serialNumber': '121823030072',
}),
dict({
'devType': 1,
'lastReportDate': 1693745066,
'lastReportWatts': 56,
'maxReportWatts': 254,
'serialNumber': '121823035149',
}),
dict({
'devType': 1,
'lastReportDate': 1693744825,
'lastReportWatts': 135,
'maxReportWatts': 365,
'serialNumber': '482243031579',
}),
dict({
'devType': 1,
'lastReportDate': 1693744828,
'lastReportWatts': 133,
'maxReportWatts': 365,
'serialNumber': '482243032888',
}),
dict({
'devType': 1,
'lastReportDate': 1693744828,
'lastReportWatts': 130,
'maxReportWatts': 365,
'serialNumber': '482250079070',
}),
dict({
'devType': 1,
'lastReportDate': 1693744829,
'lastReportWatts': 127,
'maxReportWatts': 365,
'serialNumber': '482243033444',
}),
dict({
'devType': 1,
'lastReportDate': 1693744946,
'lastReportWatts': 112,
'maxReportWatts': 365,
'serialNumber': '482243032889',
}),
]),
'/ivp/meters': list([
dict({
'eid': 704643328,
'measurementType': 'production',
'meteringStatus': 'normal',
'phaseCount': 3,
'phaseMode': 'three',
'state': 'enabled',
'statusFlags': list([
]),
}),
dict({
'eid': 704643584,
'measurementType': 'net-consumption',
'meteringStatus': 'normal',
'phaseCount': 3,
'phaseMode': 'three',
'state': 'enabled',
'statusFlags': list([
]),
}),
]),
'/ivp/meters/readings': list([
dict({
'actEnergyDlvd': 3183793.885,
'actEnergyRcvd': 8851.704,
'activePower': 488.925,
'apparentEnergy': 3576167.385,
'apparentPower': 510.003,
'channels': list([
dict({
'actEnergyDlvd': 3183793.885,
'actEnergyRcvd': 8851.704,
'activePower': 488.925,
'apparentEnergy': 3576167.385,
'apparentPower': 510.003,
'current': 2.169,
'eid': 1778385169,
'freq': 50.0,
'instantaneousDemand': 488.925,
'pwrFactor': 0.957,
'reactEnergyLagg': 591594.008,
'reactEnergyLead': 0.021,
'reactivePower': 114.596,
'timestamp': 1693745133,
'voltage': 235.236,
}),
dict({
'actEnergyDlvd': 0.0,
'actEnergyRcvd': 5370.79,
'activePower': 0.0,
'apparentEnergy': 295.364,
'apparentPower': 0.0,
'current': 0.0,
'eid': 1778385170,
'freq': 50.0,
'instantaneousDemand': 0.0,
'pwrFactor': 0.0,
'reactEnergyLagg': 387.143,
'reactEnergyLead': 0.0,
'reactivePower': 0.0,
'timestamp': 1693745133,
'voltage': 6.124,
}),
dict({
'actEnergyDlvd': 0.022,
'actEnergyRcvd': 9818.109,
'activePower': -1.044,
'apparentEnergy': 14032.684,
'apparentPower': 2.602,
'current': 0.227,
'eid': 1778385171,
'freq': 50.0,
'instantaneousDemand': -1.044,
'pwrFactor': -1.0,
'reactEnergyLagg': 391.775,
'reactEnergyLead': 2.189,
'reactivePower': -0.0,
'timestamp': 1693745133,
'voltage': 11.469,
}),
]),
'current': 2.169,
'eid': 704643328,
'freq': 50.0,
'instantaneousDemand': 488.925,
'pwrFactor': 0.957,
'reactEnergyLagg': 591594.008,
'reactEnergyLead': 0.021,
'reactivePower': 114.596,
'timestamp': 1693745133,
'voltage': 235.236,
}),
dict({
'actEnergyDlvd': 3738205.282,
'actEnergyRcvd': 1776768.769,
'activePower': -36.162,
'apparentEnergy': 7252190.779,
'apparentPower': 645.376,
'channels': list([
dict({
'actEnergyDlvd': 3738205.282,
'actEnergyRcvd': 1776768.769,
'activePower': -36.162,
'apparentEnergy': 7252190.779,
'apparentPower': 645.376,
'current': 2.745,
'eid': 1778385425,
'freq': 50.0,
'instantaneousDemand': -36.162,
'pwrFactor': -0.06,
'reactEnergyLagg': 251.885,
'reactEnergyLead': 3174027.145,
'reactivePower': -568.304,
'timestamp': 1693745133,
'voltage': 235.201,
}),
dict({
'actEnergyDlvd': 0.0,
'actEnergyRcvd': 8279.267,
'activePower': -0.0,
'apparentEnergy': 141.429,
'apparentPower': -0.0,
'current': 0.0,
'eid': 1778385426,
'freq': 50.0,
'instantaneousDemand': -0.0,
'pwrFactor': -1.0,
'reactEnergyLagg': 378.426,
'reactEnergyLead': 0.181,
'reactivePower': 0.0,
'timestamp': 1693745133,
'voltage': 2.981,
}),
dict({
'actEnergyDlvd': 0.013,
'actEnergyRcvd': 13980.174,
'activePower': -0.451,
'apparentEnergy': 6016.263,
'apparentPower': 1.128,
'current': 0.242,
'eid': 1778385427,
'freq': 50.0,
'instantaneousDemand': -0.451,
'pwrFactor': 0.0,
'reactEnergyLagg': 380.215,
'reactEnergyLead': 1.245,
'reactivePower': 0.0,
'timestamp': 1693745133,
'voltage': 4.635,
}),
]),
'current': 2.745,
'eid': 704643584,
'freq': 50.0,
'instantaneousDemand': -36.162,
'pwrFactor': -0.06,
'reactEnergyLagg': 251.885,
'reactEnergyLead': 3174027.145,
'reactivePower': -568.304,
'timestamp': 1693745133,
'voltage': 235.201,
}),
]),
'/production.json?details=1': dict({
'consumption': list([
dict({
'activeCount': 1,
'apprntPwr': 1929.904,
'lines': list([
dict({
'apprntPwr': 306.73,
'pwrFactor': 0.29,
'reactPwr': -257.565,
'rmsCurrent': 1.295,
'rmsVoltage': 236.836,
'vahLifetime': 4268391.905,
'vahToday': 10866.905,
'varhLagLifetime': 578414.935,
'varhLagToday': 1188.935,
'varhLeadLifetime': 2114284.979,
'varhLeadToday': 4108.979,
'wNow': 88.573,
'whLastSevenDays': 39391.928,
'whLifetime': 2293782.928,
'whToday': 8584.928,
}),
dict({
'apprntPwr': 204.919,
'pwrFactor': 0.6,
'reactPwr': -132.184,
'rmsCurrent': 0.861,
'rmsVoltage': 237.934,
'vahLifetime': 2331874.944,
'vahToday': 4293.944,
'varhLagLifetime': 383807.966,
'varhLagToday': 815.966,
'varhLeadLifetime': 1059082.625,
'varhLeadToday': 2783.625,
'wNow': 123.364,
'whLastSevenDays': 18948.969,
'whLifetime': 948057.969,
'whToday': 2154.969,
}),
dict({
'apprntPwr': 131.213,
'pwrFactor': -0.02,
'reactPwr': -75.026,
'rmsCurrent': 0.551,
'rmsVoltage': 237.956,
'vahLifetime': 2134819.346,
'vahToday': 3787.346,
'varhLagLifetime': 379329.532,
'varhLagToday': 797.532,
'varhLeadLifetime': 763032.665,
'varhLeadToday': 1331.665,
'wNow': -2.853,
'whLastSevenDays': 10443.471,
'whLifetime': 832954.471,
'whToday': 1683.471,
}),
]),
'measurementType': 'total-consumption',
'pwrFactor': 0.11,
'reactPwr': -464.776,
'readingTime': 1693433002,
'rmsCurrent': 2.708,
'rmsVoltage': 712.725,
'type': 'eim',
'vahLifetime': 8735086.195,
'vahToday': 18948.195,
'varhLagLifetime': 1341552.434,
'varhLagToday': 2802.434,
'varhLeadLifetime': 3936400.269,
'varhLeadToday': 8224.269,
'wNow': 209.084,
'whLastSevenDays': 68784.368,
'whLifetime': 4074795.368,
'whToday': 12423.368,
}),
dict({
'activeCount': 1,
'apprntPwr': 487.922,
'lines': list([
dict({
'apprntPwr': 238.691,
'pwrFactor': 0.41,
'reactPwr': -206.71,
'rmsCurrent': 1.009,
'rmsVoltage': 236.905,
'vahLifetime': 4268391.905,
'vahToday': 0,
'varhLagLifetime': 38719.874,
'varhLagToday': 0,
'varhLeadLifetime': 2114284.977,
'varhLeadToday': 0,
'wNow': 91.437,
'whLastSevenDays': 0,
'whLifetime': 1625201.414,
'whToday': 0,
}),
dict({
'apprntPwr': 206.35,
'pwrFactor': 0.61,
'reactPwr': -132.184,
'rmsCurrent': 0.861,
'rmsVoltage': 237.949,
'vahLifetime': 2331874.944,
'vahToday': 0,
'varhLagLifetime': 16968.583,
'varhLagToday': 0,
'varhLeadLifetime': 1059082.624,
'varhLeadToday': 0,
'wNow': 123.364,
'whLastSevenDays': 0,
'whLifetime': 629892.171,
'whToday': 0,
}),
dict({
'apprntPwr': 42.881,
'pwrFactor': 0.0,
'reactPwr': -41.336,
'rmsCurrent': 0.179,
'rmsVoltage': 238.007,
'vahLifetime': 2134819.346,
'vahToday': 0,
'varhLagLifetime': 20983.605,
'varhLagToday': 0,
'varhLeadLifetime': 763032.663,
'varhLeadToday': 0,
'wNow': 0.764,
'whLastSevenDays': 0,
'whLifetime': 631468.875,
'whToday': 0,
}),
]),
'measurementType': 'net-consumption',
'pwrFactor': 0.46,
'reactPwr': -380.23,
'readingTime': 1693433002,
'rmsCurrent': 2.05,
'rmsVoltage': 712.862,
'type': 'eim',
'vahLifetime': 8735086.195,
'vahToday': 0,
'varhLagLifetime': 76672.062,
'varhLagToday': 0,
'varhLeadLifetime': 3936400.264,
'varhLeadToday': 0,
'wNow': 215.565,
'whLastSevenDays': 0,
'whLifetime': 2886562.459,
'whToday': 0,
}),
]),
'production': list([
dict({
'activeCount': 7,
'readingTime': 0,
'type': 'inverters',
'wNow': 0,
'whLifetime': 4339764,
}),
dict({
'activeCount': 1,
'apprntPwr': 156.055,
'lines': list([
dict({
'apprntPwr': 67.699,
'pwrFactor': 0.0,
'reactPwr': 50.856,
'rmsCurrent': 0.286,
'rmsVoltage': 236.766,
'vahLifetime': 2377390.886,
'vahToday': 3576.886,
'varhLagLifetime': 539695.061,
'varhLagToday': 1163.061,
'varhLeadLifetime': 0.002,
'varhLeadToday': 0.002,
'wNow': -2.864,
'whLastSevenDays': 29891.394,
'whLifetime': 1869678.394,
'whToday': 2200.394,
}),
dict({
'apprntPwr': -0.0,
'pwrFactor': 0.0,
'reactPwr': 0.0,
'rmsCurrent': -0.0,
'rmsVoltage': 237.918,
'vahLifetime': 1241038.844,
'vahToday': 1528.844,
'varhLagLifetime': 366839.383,
'varhLagToday': 792.383,
'varhLeadLifetime': 0.001,
'varhLeadToday': 0.001,
'wNow': 0.0,
'whLastSevenDays': 19793.645,
'whLifetime': 1241245.645,
'whToday': 1454.645,
}),
dict({
'apprntPwr': 88.355,
'pwrFactor': 0.0,
'reactPwr': 33.69,
'rmsCurrent': 0.372,
'rmsVoltage': 237.904,
'vahLifetime': 1941098.256,
'vahToday': 3191.256,
'varhLagLifetime': 358345.928,
'varhLagToday': 771.928,
'varhLeadLifetime': 0.002,
'varhLeadToday': 0.002,
'wNow': -3.617,
'whLastSevenDays': 19807.161,
'whLifetime': 1240189.161,
'whToday': 1458.161,
}),
]),
'measurementType': 'production',
'pwrFactor': 0.0,
'reactPwr': 84.546,
'readingTime': 1693433002,
'rmsCurrent': 0.658,
'rmsVoltage': 712.588,
'type': 'eim',
'vahLifetime': 5559527.987,
'vahToday': 8296.987,
'varhLagLifetime': 1264880.372,
'varhLagToday': 2727.372,
'varhLeadLifetime': 0.005,
'varhLeadToday': 0.005,
'wNow': -6.481,
'whLastSevenDays': 69492.2,
'whLifetime': 4351113.2,
'whToday': 5113.2,
}),
]),
'storage': list([
dict({
'activeCount': 0,
'readingTime': 0,
'state': 'idle',
'type': 'acb',
'wNow': 0,
'whNow': 0,
}),
]),
}),
}),
'system_consumption': dict({
'watt_hours_last_7_days': 68784,
'watt_hours_lifetime': 4074795,
'watt_hours_today': 12423,
'watts_now': 209,
}),
'system_consumption_phases': dict({
: dict({
'watt_hours_last_7_days': 39392,
'watt_hours_lifetime': 2293783,
'watt_hours_today': 8585,
'watts_now': 89,
}),
: dict({
'watt_hours_last_7_days': 18949,
'watt_hours_lifetime': 948058,
'watt_hours_today': 2155,
'watts_now': 123,
}),
: dict({
'watt_hours_last_7_days': 10443,
'watt_hours_lifetime': 832954,
'watt_hours_today': 1683,
'watts_now': -3,
}),
}),
'system_net_consumption': dict({
'watt_hours_last_7_days': 0,
'watt_hours_lifetime': 2886562,
'watt_hours_today': 0,
'watts_now': 216,
}),
'system_net_consumption_phases': dict({
: dict({
'watt_hours_last_7_days': 0,
'watt_hours_lifetime': 1625201,
'watt_hours_today': 0,
'watts_now': 91,
}),
: dict({
'watt_hours_last_7_days': 0,
'watt_hours_lifetime': 629892,
'watt_hours_today': 0,
'watts_now': 123,
}),
: dict({
'watt_hours_last_7_days': 0,
'watt_hours_lifetime': 631469,
'watt_hours_today': 0,
'watts_now': 1,
}),
}),
'system_production': dict({
'watt_hours_last_7_days': 69492,
'watt_hours_lifetime': 4351113,
'watt_hours_today': 5113,
'watts_now': -6,
}),
'system_production_phases': dict({
: dict({
'watt_hours_last_7_days': 29891,
'watt_hours_lifetime': 1869678,
'watt_hours_today': 2200,
'watts_now': -3,
}),
: dict({
'watt_hours_last_7_days': 19794,
'watt_hours_lifetime': 1241246,
'watt_hours_today': 1455,
'watts_now': 0,
}),
: dict({
'watt_hours_last_7_days': 19807,
'watt_hours_lifetime': 1240189,
'watt_hours_today': 1458,
'watts_now': -4,
}),
}),
'tariff': dict({
'currency': dict({
'code': 'EUR',
}),
'date': '1688053811',
'logger': 'mylogger',
'seasons': list([
dict({
'days': list([
dict({
'days': 'Mon,Tue,Wed,Thu,Fri,Sat,Sun',
'enable_discharge_to_grid': False,
'id': 'all_days',
'must_charge_duration': 0,
'must_charge_mode': 'CG',
'must_charge_start': 0,
'periods': list([
dict({
'id': 'period_1',
'rate': 0.14,
'start': 480,
}),
dict({
'id': 'filler',
'rate': 0.01,
'start': 1320,
}),
]),
}),
]),
'id': 'all_year_long',
'start': '1/1',
'tiers': list([
]),
}),
]),
'seasons_sell': list([
]),
'single_rate': dict({
'rate': 0.01,
'sell': 0.0,
}),
'storage_settings': dict({
'charge_from_grid': False,
'date': '1688053811',
'mode': ,
'operation_mode_sub_type': '',
'opt_schedules': None,
'reserved_soc': 0.0,
'very_low_soc': 5,
}),
}),
})
# ---
# name: test_with_7_x_firmware[7.6.185_with_cts_and_battery_3t]
dict({
'acb_power': None,
'battery_aggregate': None,
'c6cc': None,
'collar': None,
'ctmeter_consumption': dict({
'active_power': 522,
'current': 3.138,
'eid': 704643584,
'energy_delivered': 2404339,
'energy_received': 1125590,
'frequency': 50.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': 0.706,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1695769632,
'voltage': 238.282,
}),
'ctmeter_consumption_phases': None,
'ctmeter_production': dict({
'active_power': -1,
'current': 0.386,
'eid': 704643328,
'energy_delivered': 2432970,
'energy_received': 1795,
'frequency': 50.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.0,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1695769632,
'voltage': 238.524,
}),
'ctmeter_production_phases': None,
'ctmeter_storage': None,
'ctmeter_storage_phases': None,
'ctmeters': dict({
'net-consumption': dict({
'active_power': 522,
'current': 3.138,
'eid': 704643584,
'energy_delivered': 2404339,
'energy_received': 1125590,
'frequency': 50.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': 0.706,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1695769632,
'voltage': 238.282,
}),
'production': dict({
'active_power': -1,
'current': 0.386,
'eid': 704643328,
'energy_delivered': 2432970,
'energy_received': 1795,
'frequency': 50.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.0,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1695769632,
'voltage': 238.524,
}),
}),
'ctmeters_phases': dict({
}),
'dry_contact_settings': dict({
}),
'dry_contact_status': dict({
}),
'encharge_aggregate': dict({
'available_energy': 525,
'backup_reserve': 525,
'configured_reserve_state_of_charge': 15,
'max_available_capacity': 3500,
'reserve_state_of_charge': 15,
'state_of_charge': 15,
}),
'encharge_inventory': dict({
'122249097612': dict({
'admin_state': 6,
'admin_state_str': 'ENCHG_STATE_READY',
'bmu_firmware_version': '2.1.34',
'comm_level_2_4_ghz': 4,
'comm_level_sub_ghz': 4,
'communicating': True,
'dc_switch_off': False,
'encharge_capacity': 3500,
'encharge_revision': 2,
'firmware_loaded_date': 1695330323,
'firmware_version': '2.6.5973_rel/22.11',
'installed_date': 1695330323,
'last_report_date': 1695769447,
'led_status': 17,
'max_cell_temp': 30,
'operating': True,
'part_number': '830-01760-r37',
'percent_full': 15,
'serial_number': '122249097612',
'temperature': 29,
'temperature_unit': 'C',
'zigbee_dongle_fw_version': '100F',
}),
}),
'encharge_power': dict({
'122249097612': dict({
'apparent_power_mva': 0,
'real_power_mw': 0,
'soc': 15,
}),
}),
'enpower': None,
'inverters': dict({
'482243033093': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1695752940,
'last_report_duration': None,
'last_report_watts': 0,
'lifetime_energy': None,
'max_report_watts': 362,
'serial_number': '482243033093',
'temperature': None,
}),
'482243033113': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1695752919,
'last_report_duration': None,
'last_report_watts': 0,
'lifetime_energy': None,
'max_report_watts': 361,
'serial_number': '482243033113',
'temperature': None,
}),
'482246043645': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1695752947,
'last_report_duration': None,
'last_report_watts': 0,
'lifetime_energy': None,
'max_report_watts': 361,
'serial_number': '482246043645',
'temperature': None,
}),
'482246047675': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1695752865,
'last_report_duration': None,
'last_report_watts': 0,
'lifetime_energy': None,
'max_report_watts': 361,
'serial_number': '482246047675',
'temperature': None,
}),
'482246047880': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1695752936,
'last_report_duration': None,
'last_report_watts': 0,
'lifetime_energy': None,
'max_report_watts': 360,
'serial_number': '482246047880',
'temperature': None,
}),
}),
'raw': dict({
'/admin/lib/tariff': dict({
'schedule': dict({
'battery_mode': 'self-consumption',
'charge_from_grid': True,
'date': '2023-09-26 16:03:40 UTC',
'operation_mode_sub_type': '',
'override': False,
'override_backup_soc': 30.0,
'override_chg_dischg_rate': 0.0,
'override_tou_mode': 'StorageTouMode_DEFAULT_TOU_MODE',
'reserved_soc': 15.0,
'schedule': dict({
'Disable': list([
dict({
'Sun': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Mon': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Tue': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Wed': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Thu': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Fri': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Sat': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
]),
'tariff': list([
dict({
'Fri': list([
dict({
'duration': 444,
'setting': 'ZN',
'start': 0,
}),
dict({
'duration': 35,
'setting': 'CG',
'start': 444,
}),
dict({
'duration': 961,
'setting': 'ZN',
'start': 479,
}),
]),
'Mon': list([
dict({
'duration': 444,
'setting': 'ZN',
'start': 0,
}),
dict({
'duration': 35,
'setting': 'CG',
'start': 444,
}),
dict({
'duration': 961,
'setting': 'ZN',
'start': 479,
}),
]),
'Sat': list([
dict({
'duration': 444,
'setting': 'ZN',
'start': 0,
}),
dict({
'duration': 35,
'setting': 'CG',
'start': 444,
}),
dict({
'duration': 961,
'setting': 'ZN',
'start': 479,
}),
]),
'Sun': list([
dict({
'duration': 444,
'setting': 'ZN',
'start': 0,
}),
dict({
'duration': 35,
'setting': 'CG',
'start': 444,
}),
dict({
'duration': 961,
'setting': 'ZN',
'start': 479,
}),
]),
'Thu': list([
dict({
'duration': 444,
'setting': 'ZN',
'start': 0,
}),
dict({
'duration': 35,
'setting': 'CG',
'start': 444,
}),
dict({
'duration': 961,
'setting': 'ZN',
'start': 479,
}),
]),
'Tue': list([
dict({
'duration': 444,
'setting': 'ZN',
'start': 0,
}),
dict({
'duration': 35,
'setting': 'CG',
'start': 444,
}),
dict({
'duration': 961,
'setting': 'ZN',
'start': 479,
}),
]),
'Wed': list([
dict({
'duration': 444,
'setting': 'ZN',
'start': 0,
}),
dict({
'duration': 35,
'setting': 'CG',
'start': 444,
}),
dict({
'duration': 961,
'setting': 'ZN',
'start': 479,
}),
]),
'end': '1/1',
'start': '1/1',
}),
]),
}),
'source': 'Tariff',
'version': '00.00.02',
'very_low_soc': 5,
}),
'tariff': dict({
'currency': dict({
'code': 'EUR',
}),
'date': '1695744220',
'logger': 'mylogger',
'seasons': list([
dict({
'days': list([
dict({
'days': 'Mon,Tue,Wed,Thu,Fri,Sat,Sun',
'enable_discharge_to_grid': True,
'id': 'all_days',
'must_charge_duration': 35,
'must_charge_mode': 'CG',
'must_charge_start': 444,
'periods': list([
dict({
'id': 'period_1',
'rate': 0.1898,
'start': 480,
}),
dict({
'id': 'filler',
'rate': 0.1034,
'start': 1320,
}),
]),
}),
]),
'id': 'season_1',
'start': '1/1',
'tiers': list([
]),
}),
]),
'seasons_sell': list([
]),
'single_rate': dict({
'rate': 0.0,
'sell': 0.0,
}),
'storage_settings': dict({
'charge_from_grid': True,
'date': '1695598084',
'mode': 'self-consumption',
'operation_mode_sub_type': '',
'reserved_soc': 15.0,
'very_low_soc': 5,
}),
}),
}),
'/api/v1/production/inverters': list([
dict({
'devType': 1,
'lastReportDate': 1695752919,
'lastReportWatts': 0,
'maxReportWatts': 361,
'serialNumber': '482243033113',
}),
dict({
'devType': 1,
'lastReportDate': 1695752947,
'lastReportWatts': 0,
'maxReportWatts': 361,
'serialNumber': '482246043645',
}),
dict({
'devType': 1,
'lastReportDate': 1695752865,
'lastReportWatts': 0,
'maxReportWatts': 361,
'serialNumber': '482246047675',
}),
dict({
'devType': 1,
'lastReportDate': 1695752936,
'lastReportWatts': 0,
'maxReportWatts': 360,
'serialNumber': '482246047880',
}),
dict({
'devType': 1,
'lastReportDate': 1695752940,
'lastReportWatts': 0,
'maxReportWatts': 362,
'serialNumber': '482243033093',
}),
]),
'/ivp/ensemble/inventory': list([
dict({
'devices': list([
dict({
'admin_state': 6,
'admin_state_str': 'ENCHG_STATE_READY',
'bmu_fw_version': '2.1.34',
'comm_level_2_4_ghz': 4,
'comm_level_sub_ghz': 4,
'communicating': True,
'created_date': 1695330323,
'dc_switch_off': False,
'device_status': list([
'envoy.global.ok',
'prop.done',
]),
'encharge_capacity': 3500,
'encharge_rev': 2,
'img_load_date': 1695330323,
'img_pnum_running': '2.6.5973_rel/22.11',
'installed': 1695330323,
'last_rpt_date': 1695769447,
'led_status': 17,
'maxCellTemp': 30,
'operating': True,
'part_num': '830-01760-r37',
'percentFull': 15,
'serial_num': '122249097612',
'sleep_enabled': False,
'temperature': 29,
'zigbee_dongle_fw_version': '100F',
}),
]),
'type': 'ENCHARGE',
}),
]),
'/ivp/ensemble/power': dict({
'devices:': list([
dict({
'apparent_power_mva': 0,
'real_power_mw': 0,
'serial_num': '122249097612',
'soc': 15,
}),
]),
}),
'/ivp/ensemble/secctrl': dict({
'ACB_agg_energy': 0,
'ACB_agg_soc': 0,
'ENC_agg_avail_energy': 525,
'ENC_agg_backup_energy': 525,
'ENC_agg_soc': 15,
'ENC_agg_soh': 100,
'Enc_commissioned_capacity': 3500,
'Enc_max_available_capacity': 3500,
'Max_energy': 3500,
'adjusted_backup_soc': 15,
'agg_soc': 15,
'configured_backup_soc': 15,
'freq_bias_hz': 1.3899999856948853,
'freq_bias_hz_phaseb': 0.0,
'freq_bias_hz_phasec': 0.0,
'freq_bias_hz_q8': 2235,
'freq_bias_hz_q8_phaseb': 0,
'freq_bias_hz_q8_phasec': 0,
'shutdown': False,
'voltage_bias_v': 16.899999618530273,
'voltage_bias_v_phaseb': 0.0,
'voltage_bias_v_phasec': 0.0,
'voltage_bias_v_q5': 540,
'voltage_bias_v_q5_phaseb': 0,
'voltage_bias_v_q5_phasec': 0,
}),
'/ivp/meters': list([
dict({
'eid': 704643328,
'measurementType': 'production',
'meteringStatus': 'normal',
'phaseCount': 1,
'phaseMode': 'three',
'state': 'enabled',
'statusFlags': list([
]),
}),
dict({
'eid': 704643584,
'measurementType': 'net-consumption',
'meteringStatus': 'normal',
'phaseCount': 1,
'phaseMode': 'three',
'state': 'enabled',
'statusFlags': list([
]),
}),
]),
'/ivp/meters/readings': list([
dict({
'actEnergyDlvd': 2432969.956,
'actEnergyRcvd': 1795.013,
'activePower': -0.661,
'apparentEnergy': 2709025.378,
'apparentPower': 92.126,
'channels': list([
dict({
'actEnergyDlvd': 2432969.956,
'actEnergyRcvd': 1795.013,
'activePower': -0.661,
'apparentEnergy': 2709025.378,
'apparentPower': 92.126,
'current': 0.386,
'eid': 1778385169,
'freq': 50.0,
'instantaneousDemand': -0.661,
'pwrFactor': 0.0,
'reactEnergyLagg': 392075.354,
'reactEnergyLead': 7.266,
'reactivePower': 82.942,
'timestamp': 1695769632,
'voltage': 238.524,
}),
dict({
'actEnergyDlvd': 0.013,
'actEnergyRcvd': 8248.228,
'activePower': -0.0,
'apparentEnergy': 140.353,
'apparentPower': -0.0,
'current': -0.0,
'eid': 1778385170,
'freq': 50.0,
'instantaneousDemand': -0.0,
'pwrFactor': 0.0,
'reactEnergyLagg': 355.453,
'reactEnergyLead': 1.715,
'reactivePower': -0.0,
'timestamp': 1695769632,
'voltage': 7.648,
}),
dict({
'actEnergyDlvd': 0.0,
'actEnergyRcvd': 12408.486,
'activePower': -0.077,
'apparentEnergy': 898.304,
'apparentPower': 0.178,
'current': 0.152,
'eid': 1778385171,
'freq': 50.0,
'instantaneousDemand': -0.077,
'pwrFactor': -1.0,
'reactEnergyLagg': 419.396,
'reactEnergyLead': 0.0,
'reactivePower': -0.0,
'timestamp': 1695769632,
'voltage': 1.176,
}),
]),
'current': 0.386,
'eid': 704643328,
'freq': 50.0,
'instantaneousDemand': -0.661,
'pwrFactor': 0.0,
'reactEnergyLagg': 392075.354,
'reactEnergyLead': 7.266,
'reactivePower': 82.942,
'timestamp': 1695769632,
'voltage': 238.524,
}),
dict({
'actEnergyDlvd': 2404339.266,
'actEnergyRcvd': 1125590.088,
'activePower': 522.043,
'apparentEnergy': 4833861.616,
'apparentPower': 746.438,
'channels': list([
dict({
'actEnergyDlvd': 2404339.266,
'actEnergyRcvd': 1125590.088,
'activePower': 522.043,
'apparentEnergy': 4833861.616,
'apparentPower': 746.438,
'current': 3.138,
'eid': 1778385425,
'freq': 50.0,
'instantaneousDemand': 522.043,
'pwrFactor': 0.706,
'reactEnergyLagg': 22501.684,
'reactEnergyLead': 1935715.22,
'reactivePower': -458.984,
'timestamp': 1695769632,
'voltage': 238.282,
}),
dict({
'actEnergyDlvd': 0.0,
'actEnergyRcvd': 1099.941,
'activePower': 0.0,
'apparentEnergy': 54.285,
'apparentPower': 0.0,
'current': 0.0,
'eid': 1778385426,
'freq': 50.0,
'instantaneousDemand': 0.0,
'pwrFactor': 0.0,
'reactEnergyLagg': 356.336,
'reactEnergyLead': 0.0,
'reactivePower': 0.0,
'timestamp': 1695769632,
'voltage': 3.447,
}),
dict({
'actEnergyDlvd': 0.0,
'actEnergyRcvd': 5670.302,
'activePower': -0.351,
'apparentEnergy': 8802.177,
'apparentPower': 1.761,
'current': 0.197,
'eid': 1778385427,
'freq': 50.0,
'instantaneousDemand': -0.351,
'pwrFactor': 0.0,
'reactEnergyLagg': 361.519,
'reactEnergyLead': 0.367,
'reactivePower': -0.0,
'timestamp': 1695769632,
'voltage': 8.942,
}),
]),
'current': 3.138,
'eid': 704643584,
'freq': 50.0,
'instantaneousDemand': 522.043,
'pwrFactor': 0.706,
'reactEnergyLagg': 22501.684,
'reactEnergyLead': 1935715.22,
'reactivePower': -458.984,
'timestamp': 1695769632,
'voltage': 238.282,
}),
]),
'/production.json?details=1': dict({
'consumption': list([
dict({
'activeCount': 1,
'apprntPwr': 837.87,
'measurementType': 'total-consumption',
'pwrFactor': 0.62,
'reactPwr': -374.915,
'readingTime': 1695769629,
'rmsCurrent': 3.513,
'rmsVoltage': 238.507,
'type': 'eim',
'vahLifetime': 4833860.766,
'vahToday': 88.766,
'varhLagLifetime': -369573.576,
'varhLagToday': 0.0,
'varhLeadLifetime': 1935707.431,
'varhLeadToday': 54.431,
'wNow': 523.579,
'whLastSevenDays': 19.155,
'whLifetime': 3711429.155,
'whToday': 63.155,
}),
dict({
'activeCount': 1,
'apprntPwr': 745.663,
'measurementType': 'net-consumption',
'pwrFactor': 0.7,
'reactPwr': -458.436,
'readingTime': 1695769629,
'rmsCurrent': 3.126,
'rmsVoltage': 238.507,
'type': 'eim',
'vahLifetime': 4833860.766,
'vahToday': 0,
'varhLagLifetime': 22501.684,
'varhLagToday': 0,
'varhLeadLifetime': 1935714.697,
'varhLeadToday': 0,
'wNow': 524.536,
'whLastSevenDays': 0,
'whLifetime': 1279037.969,
'whToday': 0,
}),
]),
'production': list([
dict({
'activeCount': 5,
'readingTime': 0,
'type': 'inverters',
'wNow': 0,
'whLifetime': 45349,
}),
dict({
'activeCount': 1,
'apprntPwr': 92.383,
'measurementType': 'production',
'pwrFactor': 0.0,
'reactPwr': 83.521,
'readingTime': 1695769629,
'rmsCurrent': 0.387,
'rmsVoltage': 238.522,
'type': 'eim',
'vahLifetime': 2709025.274,
'vahToday': 11.274,
'varhLagLifetime': 392075.259,
'varhLagToday': 10.259,
'varhLeadLifetime': 7.266,
'varhLeadToday': 0.266,
'wNow': -0.957,
'whLastSevenDays': 73002.956,
'whLifetime': 2432969.956,
'whToday': 0.956,
}),
]),
'storage': list([
dict({
'activeCount': 0,
'readingTime': 0,
'state': 'idle',
'type': 'acb',
'wNow': 0,
'whNow': 0,
}),
]),
}),
}),
'system_consumption': dict({
'watt_hours_last_7_days': 19,
'watt_hours_lifetime': 3711429,
'watt_hours_today': 63,
'watts_now': 524,
}),
'system_consumption_phases': None,
'system_net_consumption': dict({
'watt_hours_last_7_days': 0,
'watt_hours_lifetime': 1279038,
'watt_hours_today': 0,
'watts_now': 525,
}),
'system_net_consumption_phases': None,
'system_production': dict({
'watt_hours_last_7_days': 73003,
'watt_hours_lifetime': 2432970,
'watt_hours_today': 1,
'watts_now': -1,
}),
'system_production_phases': None,
'tariff': dict({
'currency': dict({
'code': 'EUR',
}),
'date': '1695744220',
'logger': 'mylogger',
'seasons': list([
dict({
'days': list([
dict({
'days': 'Mon,Tue,Wed,Thu,Fri,Sat,Sun',
'enable_discharge_to_grid': True,
'id': 'all_days',
'must_charge_duration': 35,
'must_charge_mode': 'CG',
'must_charge_start': 444,
'periods': list([
dict({
'id': 'period_1',
'rate': 0.1898,
'start': 480,
}),
dict({
'id': 'filler',
'rate': 0.1034,
'start': 1320,
}),
]),
}),
]),
'id': 'season_1',
'start': '1/1',
'tiers': list([
]),
}),
]),
'seasons_sell': list([
]),
'single_rate': dict({
'rate': 0.0,
'sell': 0.0,
}),
'storage_settings': dict({
'charge_from_grid': True,
'date': '1695598084',
'mode': ,
'operation_mode_sub_type': '',
'opt_schedules': None,
'reserved_soc': 15.0,
'very_low_soc': 5,
}),
}),
})
# ---
# name: test_with_7_x_firmware[8.1.41]
dict({
'acb_power': None,
'battery_aggregate': None,
'c6cc': None,
'collar': None,
'ctmeter_consumption': None,
'ctmeter_consumption_phases': None,
'ctmeter_production': None,
'ctmeter_production_phases': None,
'ctmeter_storage': None,
'ctmeter_storage_phases': None,
'ctmeters': dict({
}),
'ctmeters_phases': dict({
}),
'dry_contact_settings': dict({
'NC1': dict({
'black_start': 5.0,
'essential_end_time': 82800.0,
'essential_start_time': 21600.0,
'generator_action': ,
'grid_action': ,
'id': 'NC1',
'load_name': 'Furnace',
'manual_override': True,
'micro_grid_action': ,
'mode': ,
'override': True,
'priority': 1.0,
'pv_serial_nb': list([
]),
'soc_high': 40.0,
'soc_low': 30.0,
'type': ,
}),
'NC2': dict({
'black_start': 5.0,
'essential_end_time': 82800.0,
'essential_start_time': 21600.0,
'generator_action': ,
'grid_action': ,
'id': 'NC2',
'load_name': 'AC',
'manual_override': True,
'micro_grid_action': ,
'mode': ,
'override': True,
'priority': 2.0,
'pv_serial_nb': list([
]),
'soc_high': 40.0,
'soc_low': 30.0,
'type': ,
}),
'NO1': dict({
'black_start': 5.0,
'essential_end_time': 82800.0,
'essential_start_time': 21600.0,
'generator_action': ,
'grid_action': ,
'id': 'NO1',
'load_name': '',
'manual_override': True,
'micro_grid_action': ,
'mode': ,
'override': False,
'priority': 3.0,
'pv_serial_nb': list([
]),
'soc_high': 40.0,
'soc_low': 30.0,
'type': ,
}),
'NO2': dict({
'black_start': 5.0,
'essential_end_time': 82800.0,
'essential_start_time': 21600.0,
'generator_action': ,
'grid_action': ,
'id': 'NO2',
'load_name': '',
'manual_override': True,
'micro_grid_action': ,
'mode': ,
'override': False,
'priority': 4.0,
'pv_serial_nb': list([
]),
'soc_high': 40.0,
'soc_low': 30.0,
'type': ,
}),
}),
'dry_contact_status': dict({
'NC1': dict({
'id': 'NC1',
'status': ,
}),
'NC2': dict({
'id': 'NC2',
'status': ,
}),
'NO1': dict({
'id': 'NO1',
'status': ,
}),
'NO2': dict({
'id': 'NO2',
'status': ,
}),
}),
'encharge_aggregate': dict({
'available_energy': 9176,
'backup_reserve': 2976,
'configured_reserve_state_of_charge': 30,
'max_available_capacity': 9920,
'reserve_state_of_charge': 30,
'state_of_charge': 92,
}),
'encharge_inventory': dict({
'492319002585': dict({
'admin_state': 6,
'admin_state_str': 'ENCHG_STATE_READY',
'bmu_firmware_version': '3.8.53',
'comm_level_2_4_ghz': 0,
'comm_level_sub_ghz': 0,
'communicating': True,
'dc_switch_off': False,
'encharge_capacity': 4960,
'encharge_revision': 3,
'firmware_loaded_date': 1691560591,
'firmware_version': '3.0.5949_rel/31.07',
'installed_date': 1691560591,
'last_report_date': 1692385816,
'led_status': 14,
'max_cell_temp': 42,
'operating': None,
'part_number': '836-01826-r76',
'percent_full': 100,
'serial_number': '492319002585',
'temperature': 42,
'temperature_unit': 'C',
'zigbee_dongle_fw_version': None,
}),
'492319002593': dict({
'admin_state': 6,
'admin_state_str': 'ENCHG_STATE_READY',
'bmu_firmware_version': '3.8.53',
'comm_level_2_4_ghz': 0,
'comm_level_sub_ghz': 0,
'communicating': True,
'dc_switch_off': False,
'encharge_capacity': 4960,
'encharge_revision': 3,
'firmware_loaded_date': 1691560590,
'firmware_version': '3.0.5949_rel/31.07',
'installed_date': 1691560590,
'last_report_date': 1692386075,
'led_status': 14,
'max_cell_temp': 42,
'operating': None,
'part_number': '836-01826-r76',
'percent_full': 85,
'serial_number': '492319002593',
'temperature': 42,
'temperature_unit': 'C',
'zigbee_dongle_fw_version': None,
}),
}),
'encharge_power': dict({
'492319002585': dict({
'apparent_power_mva': 24000,
'real_power_mw': 24000,
'soc': 100,
}),
'492319002593': dict({
'apparent_power_mva': 16000,
'real_power_mw': 16000,
'soc': 85,
}),
}),
'enpower': dict({
'admin_state': 24,
'admin_state_str': 'ENPWR_STATE_OPER_CLOSED',
'comm_level_2_4_ghz': 0,
'comm_level_sub_ghz': 0,
'communicating': True,
'firmware_loaded_date': 1691648499,
'firmware_version': '3.0.5177_rel/31.07',
'grid_mode': 'multimode-ongrid',
'installed_date': 1691648499,
'last_report_date': 1692386076,
'mains_admin_state': 'closed',
'mains_oper_state': 'closed',
'operating': None,
'part_number': '865-00377-r28',
'serial_number': '482326083757',
'temperature': 113,
'temperature_unit': 'F',
'zigbee_dongle_fw_version': None,
}),
'inverters': dict({
'202314050286': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692385966,
'last_report_duration': None,
'last_report_watts': 312,
'lifetime_energy': None,
'max_report_watts': 327,
'serial_number': '202314050286',
'temperature': None,
}),
'202314055790': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692385969,
'last_report_duration': None,
'last_report_watts': 305,
'lifetime_energy': None,
'max_report_watts': 321,
'serial_number': '202314055790',
'temperature': None,
}),
'202314058203': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692385784,
'last_report_duration': None,
'last_report_watts': 310,
'lifetime_energy': None,
'max_report_watts': 321,
'serial_number': '202314058203',
'temperature': None,
}),
'202314059855': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692385973,
'last_report_duration': None,
'last_report_watts': 309,
'lifetime_energy': None,
'max_report_watts': 322,
'serial_number': '202314059855',
'temperature': None,
}),
'202314060891': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692385785,
'last_report_duration': None,
'last_report_watts': 305,
'lifetime_energy': None,
'max_report_watts': 321,
'serial_number': '202314060891',
'temperature': None,
}),
'202314061330': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692385997,
'last_report_duration': None,
'last_report_watts': 269,
'lifetime_energy': None,
'max_report_watts': 336,
'serial_number': '202314061330',
'temperature': None,
}),
'202314062224': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692385974,
'last_report_duration': None,
'last_report_watts': 304,
'lifetime_energy': None,
'max_report_watts': 318,
'serial_number': '202314062224',
'temperature': None,
}),
'202314062558': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692385971,
'last_report_duration': None,
'last_report_watts': 301,
'lifetime_energy': None,
'max_report_watts': 322,
'serial_number': '202314062558',
'temperature': None,
}),
'202314062880': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692386026,
'last_report_duration': None,
'last_report_watts': 275,
'lifetime_energy': None,
'max_report_watts': 335,
'serial_number': '202314062880',
'temperature': None,
}),
'202314063524': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692385998,
'last_report_duration': None,
'last_report_watts': 276,
'lifetime_energy': None,
'max_report_watts': 337,
'serial_number': '202314063524',
'temperature': None,
}),
'202314064007': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692386029,
'last_report_duration': None,
'last_report_watts': 307,
'lifetime_energy': None,
'max_report_watts': 325,
'serial_number': '202314064007',
'temperature': None,
}),
'202314065032': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692386029,
'last_report_duration': None,
'last_report_watts': 273,
'lifetime_energy': None,
'max_report_watts': 336,
'serial_number': '202314065032',
'temperature': None,
}),
'202314065062': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1692385935,
'last_report_duration': None,
'last_report_watts': 277,
'lifetime_energy': None,
'max_report_watts': 334,
'serial_number': '202314065062',
'temperature': None,
}),
'202314065647': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
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'device_status': list([
'envoy.global.ok',
'prop.done',
]),
'encharge_capacity': 4960,
'encharge_rev': 3,
'img_load_date': 1691560590,
'img_pnum_running': '3.0.5949_rel/31.07',
'installed': 1691560590,
'last_rpt_date': 1692386075,
'led_status': 14,
'maxCellTemp': 42,
'part_num': '836-01826-r76',
'percentFull': 85,
'phase': 'ph-a',
'serial_num': '492319002593',
'sleep_enabled': False,
'temperature': 42,
}),
]),
'type': 'ENCHARGE',
}),
dict({
'devices': list([
dict({
'Enchg_grid_mode': 'multimode-ongrid',
'Enpwr_curr_state_id': 16,
'Enpwr_grid_mode': 'multimode-ongrid',
'Enpwr_relay_state_bm': 3568,
'admin_state': 24,
'admin_state_str': 'ENPWR_STATE_OPER_CLOSED',
'comm_level_2_4_ghz': 0,
'comm_level_sub_ghz': 0,
'communicating': True,
'created_date': 1691648499,
'device_status': list([
'envoy.global.ok',
'prop.done',
]),
'img_load_date': 1691648499,
'img_pnum_running': '3.0.5177_rel/31.07',
'installed': 1691648499,
'last_rpt_date': 1692386076,
'mains_admin_state': 'closed',
'mains_oper_state': 'closed',
'part_num': '865-00377-r28',
'serial_num': '482326083757',
'temperature': 113,
}),
]),
'type': 'ENPOWER',
}),
]),
'/ivp/ensemble/power': dict({
'devices:': list([
dict({
'apparent_power_mva': 24000,
'real_power_mw': 24000,
'serial_num': '492319002585',
'soc': 100,
}),
dict({
'apparent_power_mva': 16000,
'real_power_mw': 16000,
'serial_num': '492319002593',
'soc': 85,
}),
]),
}),
'/ivp/ensemble/secctrl': dict({
'ACB_agg_energy': 0,
'ACB_agg_soc': 0,
'Commission_in_progress': False,
'ENC_agg_avail_energy': 9176,
'ENC_agg_backup_energy': 2976,
'ENC_agg_soc': 92,
'ENC_agg_soh': 100,
'Enc_commissioned_capacity': 9920,
'Enc_max_available_capacity': 9920,
'Max_energy': 9920,
'Recovery_threshold_soc': 13,
'VLS_Limit': 10,
'adjusted_backup_soc': 30,
'agg_soc': 92,
'configured_backup_soc': 30,
'freq_bias_hz': -1.348230004310608,
'freq_bias_hz_phaseb': 0.0,
'freq_bias_hz_phasec': 0.0,
'freq_bias_hz_q8': -2168,
'freq_bias_hz_q8_phaseb': 0,
'freq_bias_hz_q8_phasec': 0,
'shutdown': False,
'voltage_bias_v': -16.190109252929688,
'voltage_bias_v_phaseb': 0.0,
'voltage_bias_v_phasec': 0.0,
'voltage_bias_v_q5': -518,
'voltage_bias_v_q5_phaseb': 0,
'voltage_bias_v_q5_phasec': 0,
}),
'/ivp/ss/dry_contact_settings': dict({
'dry_contacts': list([
dict({
'black_s_start': 5.0,
'essential_end_time': 82800.0,
'essential_start_time': 21600.0,
'gen_action': 'apply',
'grid_action': 'apply',
'id': 'NC1',
'load_name': 'Furnace',
'manual_override': 'true',
'micro_grid_action': 'apply',
'mode': 'soc',
'override': 'true',
'priority': 1.0,
'pv_serial_nb': list([
]),
'soc_high': 40.0,
'soc_low': 30.0,
'type': 'LOAD',
}),
dict({
'black_s_start': 5.0,
'essential_end_time': 82800.0,
'essential_start_time': 21600.0,
'gen_action': 'apply',
'grid_action': 'apply',
'id': 'NC2',
'load_name': 'AC',
'manual_override': 'true',
'micro_grid_action': 'apply',
'mode': 'soc',
'override': 'true',
'priority': 2.0,
'pv_serial_nb': list([
]),
'soc_high': 40.0,
'soc_low': 30.0,
'type': 'LOAD',
}),
dict({
'black_s_start': 5.0,
'essential_end_time': 82800.0,
'essential_start_time': 21600.0,
'gen_action': 'none',
'grid_action': 'none',
'id': 'NO1',
'load_name': '',
'manual_override': 'true',
'micro_grid_action': 'none',
'mode': 'manual',
'override': 'false',
'priority': 3.0,
'pv_serial_nb': list([
]),
'soc_high': 40.0,
'soc_low': 30.0,
'type': 'NONE',
}),
dict({
'black_s_start': 5.0,
'essential_end_time': 82800.0,
'essential_start_time': 21600.0,
'gen_action': 'none',
'grid_action': 'none',
'id': 'NO2',
'load_name': '',
'manual_override': 'true',
'micro_grid_action': 'none',
'mode': 'manual',
'override': 'false',
'priority': 4.0,
'pv_serial_nb': list([
]),
'soc_high': 40.0,
'soc_low': 30.0,
'type': 'NONE',
}),
]),
}),
'/production.json?details=1': dict({
'consumption': list([
dict({
'activeCount': 1,
'apprntPwr': 5007.246,
'measurementType': 'total-consumption',
'pwrFactor': 1.0,
'reactPwr': 1407.058,
'readingTime': 1692386083,
'rmsCurrent': 40.571,
'rmsVoltage': 246.894,
'type': 'eim',
'vahLifetime': 1607135.036,
'vahToday': 1190799.036,
'varhLagLifetime': 29677.693,
'varhLagToday': 17206.693,
'varhLeadLifetime': 108784.489,
'varhLeadToday': 104827.489,
'wNow': 5216.083,
'whLastSevenDays': 0.0,
'whLifetime': 1757943.133,
'whToday': 0.0,
}),
dict({
'activeCount': 1,
'apprntPwr': -8358.792,
'measurementType': 'net-consumption',
'pwrFactor': -1.0,
'reactPwr': 1329.256,
'readingTime': 1692386083,
'rmsCurrent': -67.703,
'rmsVoltage': 246.894,
'type': 'eim',
'vahLifetime': 1607135.036,
'vahToday': 0,
'varhLagLifetime': 234428.764,
'varhLagToday': 0,
'varhLeadLifetime': 109642.368,
'varhLeadToday': 0,
'wNow': -7812.457,
'whLastSevenDays': 0,
'whLifetime': 247929.658,
'whToday': 0,
}),
]),
'production': list([
dict({
'activeCount': 44,
'readingTime': 1692386032,
'type': 'inverters',
'wNow': 13163,
'whLifetime': 348363,
}),
dict({
'activeCount': 1,
'apprntPwr': 13367.009,
'measurementType': 'production',
'pwrFactor': 0.97,
'reactPwr': 77.802,
'readingTime': 1692386083,
'rmsCurrent': 108.274,
'rmsVoltage': 246.894,
'type': 'eim',
'vahLifetime': 1746683.744,
'vahToday': 64277.744,
'varhLagLifetime': 204751.071,
'varhLagToday': 8551.071,
'varhLeadLifetime': 857.879,
'varhLeadToday': 33.879,
'wNow': 13028.54,
'whLastSevenDays': 1456156.655,
'whLifetime': 1510198.655,
'whToday': 55037.655,
}),
]),
'storage': list([
dict({
'activeCount': 0,
'readingTime': 0,
'state': 'idle',
'type': 'acb',
'wNow': 0,
'whNow': 0,
}),
]),
}),
}),
'system_consumption': dict({
'watt_hours_last_7_days': 0,
'watt_hours_lifetime': 1757943,
'watt_hours_today': 0,
'watts_now': 5216,
}),
'system_consumption_phases': None,
'system_net_consumption': dict({
'watt_hours_last_7_days': 0,
'watt_hours_lifetime': 247930,
'watt_hours_today': 0,
'watts_now': -7812,
}),
'system_net_consumption_phases': None,
'system_production': dict({
'watt_hours_last_7_days': 1456157,
'watt_hours_lifetime': 1510199,
'watt_hours_today': 55038,
'watts_now': 13029,
}),
'system_production_phases': None,
'tariff': None,
})
# ---
# name: test_with_7_x_firmware[8.2.127_with_3cts_and_battery_split]
dict({
'acb_power': None,
'battery_aggregate': None,
'c6cc': None,
'collar': None,
'ctmeter_consumption': dict({
'active_power': 129,
'current': 21.241,
'eid': 704643584,
'energy_delivered': 4998252,
'energy_received': 253961,
'frequency': 60.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': 0.034,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1709829517,
'voltage': 242.553,
}),
'ctmeter_consumption_phases': dict({
: dict({
'active_power': -201,
'current': 9.316,
'eid': 1778385425,
'energy_delivered': 2631217,
'energy_received': 93777,
'frequency': 60.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': -0.193,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1709829517,
'voltage': 121.334,
}),
: dict({
'active_power': 331,
'current': 11.925,
'eid': 1778385426,
'energy_delivered': 2367035,
'energy_received': 160184,
'frequency': 60.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': 0.212,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1709829517,
'voltage': 121.219,
}),
}),
'ctmeter_production': dict({
'active_power': 1714,
'current': 17.326,
'eid': 704643328,
'energy_delivered': 3165834,
'energy_received': 76,
'frequency': 60.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.817,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1709829517,
'voltage': 242.367,
}),
'ctmeter_production_phases': dict({
: dict({
'active_power': 856,
'current': 8.658,
'eid': 1778385169,
'energy_delivered': 1581746,
'energy_received': 46,
'frequency': 60.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.822,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1709829517,
'voltage': 121.224,
}),
: dict({
'active_power': 858,
'current': 8.668,
'eid': 1778385170,
'energy_delivered': 1584088,
'energy_received': 30,
'frequency': 60.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.812,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1709829517,
'voltage': 121.143,
}),
}),
'ctmeter_storage': dict({
'active_power': -2580,
'current': 14.575,
'eid': 704643840,
'energy_delivered': 2274359,
'energy_received': 2971414,
'frequency': 60.0,
'measurement_type': 'storage',
'metering_status': 'normal',
'power_factor': -1.0,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1709829517,
'voltage': 242.582,
}),
'ctmeter_storage_phases': dict({
: dict({
'active_power': -2115,
'current': 9.316,
'eid': 1778385681,
'energy_delivered': 1136860,
'energy_received': 1485292,
'frequency': 60.0,
'measurement_type': 'storage',
'metering_status': 'normal',
'power_factor': -0.193,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1709829517,
'voltage': 121.334,
}),
: dict({
'active_power': -465,
'current': 5.259,
'eid': 1778385682,
'energy_delivered': 1137499,
'energy_received': 1486122,
'frequency': 60.0,
'measurement_type': 'storage',
'metering_status': 'normal',
'power_factor': -0.713,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1709829517,
'voltage': 121.248,
}),
}),
'ctmeters': dict({
'net-consumption': dict({
'active_power': 129,
'current': 21.241,
'eid': 704643584,
'energy_delivered': 4998252,
'energy_received': 253961,
'frequency': 60.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': 0.034,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1709829517,
'voltage': 242.553,
}),
'production': dict({
'active_power': 1714,
'current': 17.326,
'eid': 704643328,
'energy_delivered': 3165834,
'energy_received': 76,
'frequency': 60.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.817,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1709829517,
'voltage': 242.367,
}),
'storage': dict({
'active_power': -2580,
'current': 14.575,
'eid': 704643840,
'energy_delivered': 2274359,
'energy_received': 2971414,
'frequency': 60.0,
'measurement_type': 'storage',
'metering_status': 'normal',
'power_factor': -1.0,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1709829517,
'voltage': 242.582,
}),
}),
'ctmeters_phases': dict({
'net-consumption': dict({
: dict({
'active_power': -201,
'current': 9.316,
'eid': 1778385425,
'energy_delivered': 2631217,
'energy_received': 93777,
'frequency': 60.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': -0.193,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1709829517,
'voltage': 121.334,
}),
: dict({
'active_power': 331,
'current': 11.925,
'eid': 1778385426,
'energy_delivered': 2367035,
'energy_received': 160184,
'frequency': 60.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': 0.212,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1709829517,
'voltage': 121.219,
}),
}),
'production': dict({
: dict({
'active_power': 856,
'current': 8.658,
'eid': 1778385169,
'energy_delivered': 1581746,
'energy_received': 46,
'frequency': 60.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.822,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1709829517,
'voltage': 121.224,
}),
: dict({
'active_power': 858,
'current': 8.668,
'eid': 1778385170,
'energy_delivered': 1584088,
'energy_received': 30,
'frequency': 60.0,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.812,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1709829517,
'voltage': 121.143,
}),
}),
'storage': dict({
: dict({
'active_power': -2115,
'current': 9.316,
'eid': 1778385681,
'energy_delivered': 1136860,
'energy_received': 1485292,
'frequency': 60.0,
'measurement_type': 'storage',
'metering_status': 'normal',
'power_factor': -0.193,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1709829517,
'voltage': 121.334,
}),
: dict({
'active_power': -465,
'current': 5.259,
'eid': 1778385682,
'energy_delivered': 1137499,
'energy_received': 1486122,
'frequency': 60.0,
'measurement_type': 'storage',
'metering_status': 'normal',
'power_factor': -0.713,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1709829517,
'voltage': 121.248,
}),
}),
}),
'dry_contact_settings': dict({
'NC1': dict({
'black_start': 5,
'essential_end_time': 57600,
'essential_start_time': 32400,
'generator_action': ,
'grid_action': ,
'id': 'NC1',
'load_name': '',
'manual_override': True,
'micro_grid_action': ,
'mode': ,
'override': False,
'priority': 1,
'pv_serial_nb': list([
]),
'soc_high': 40,
'soc_low': 30,
'type': ,
}),
'NC2': dict({
'black_start': 5,
'essential_end_time': 57600,
'essential_start_time': 32400,
'generator_action': ,
'grid_action': ,
'id': 'NC2',
'load_name': '',
'manual_override': True,
'micro_grid_action': ,
'mode': ,
'override': False,
'priority': 2,
'pv_serial_nb': list([
]),
'soc_high': 40,
'soc_low': 30,
'type': ,
}),
'NO1': dict({
'black_start': 5,
'essential_end_time': 57600,
'essential_start_time': 32400,
'generator_action': ,
'grid_action': ,
'id': 'NO1',
'load_name': '',
'manual_override': True,
'micro_grid_action': ,
'mode': ,
'override': False,
'priority': 3,
'pv_serial_nb': list([
]),
'soc_high': 40,
'soc_low': 30,
'type': ,
}),
'NO2': dict({
'black_start': 5,
'essential_end_time': 57600,
'essential_start_time': 32400,
'generator_action': ,
'grid_action': ,
'id': 'NO2',
'load_name': '',
'manual_override': True,
'micro_grid_action': ,
'mode': ,
'override': False,
'priority': 4,
'pv_serial_nb': list([
]),
'soc_high': 40,
'soc_low': 30,
'type': ,
}),
}),
'dry_contact_status': dict({
'NC1': dict({
'id': 'NC1',
'status': ,
}),
'NC2': dict({
'id': 'NC2',
'status': ,
}),
'NO1': dict({
'id': 'NO1',
'status': ,
}),
'NO2': dict({
'id': 'NO2',
'status': ,
}),
}),
'encharge_aggregate': dict({
'available_energy': 5250,
'backup_reserve': 5000,
'configured_reserve_state_of_charge': 20,
'max_available_capacity': 25000,
'reserve_state_of_charge': 20,
'state_of_charge': 21,
}),
'encharge_inventory': dict({
'12345678901002': dict({
'admin_state': 6,
'admin_state_str': 'ENCHG_STATE_READY',
'bmu_firmware_version': '3.8.63',
'comm_level_2_4_ghz': 0,
'comm_level_sub_ghz': 0,
'communicating': True,
'dc_switch_off': False,
'encharge_capacity': 5000,
'encharge_revision': 3,
'firmware_loaded_date': 1707197622,
'firmware_version': '3.0.6614_rel/31.13',
'installed_date': 1707197622,
'last_report_date': 1709829328,
'led_status': 12,
'max_cell_temp': 13,
'operating': None,
'part_number': '836-01826-r81',
'percent_full': 21,
'serial_number': '12345678901002',
'temperature': 13,
'temperature_unit': 'C',
'zigbee_dongle_fw_version': None,
}),
'12345678901003': dict({
'admin_state': 6,
'admin_state_str': 'ENCHG_STATE_READY',
'bmu_firmware_version': '3.8.63',
'comm_level_2_4_ghz': 0,
'comm_level_sub_ghz': 0,
'communicating': True,
'dc_switch_off': False,
'encharge_capacity': 5000,
'encharge_revision': 3,
'firmware_loaded_date': 1706749292,
'firmware_version': '3.0.6614_rel/31.13',
'installed_date': 1706749292,
'last_report_date': 1709829288,
'led_status': 12,
'max_cell_temp': 12,
'operating': None,
'part_number': '836-01826-r76',
'percent_full': 21,
'serial_number': '12345678901003',
'temperature': 12,
'temperature_unit': 'C',
'zigbee_dongle_fw_version': None,
}),
'12345678901004': dict({
'admin_state': 6,
'admin_state_str': 'ENCHG_STATE_READY',
'bmu_firmware_version': '3.8.63',
'comm_level_2_4_ghz': 0,
'comm_level_sub_ghz': 0,
'communicating': True,
'dc_switch_off': False,
'encharge_capacity': 5000,
'encharge_revision': 3,
'firmware_loaded_date': 1707622567,
'firmware_version': '3.0.6614_rel/31.13',
'installed_date': 1707622567,
'last_report_date': 1709829437,
'led_status': 12,
'max_cell_temp': 12,
'operating': None,
'part_number': '836-01826-r76',
'percent_full': 21,
'serial_number': '12345678901004',
'temperature': 12,
'temperature_unit': 'C',
'zigbee_dongle_fw_version': None,
}),
'12345678901005': dict({
'admin_state': 6,
'admin_state_str': 'ENCHG_STATE_READY',
'bmu_firmware_version': '3.8.63',
'comm_level_2_4_ghz': 0,
'comm_level_sub_ghz': 0,
'communicating': True,
'dc_switch_off': False,
'encharge_capacity': 5000,
'encharge_revision': 3,
'firmware_loaded_date': 1709410199,
'firmware_version': '3.0.6614_rel/31.13',
'installed_date': 1709410199,
'last_report_date': 1709829256,
'led_status': 12,
'max_cell_temp': 12,
'operating': None,
'part_number': '836-01826-r76',
'percent_full': 21,
'serial_number': '12345678901005',
'temperature': 11,
'temperature_unit': 'C',
'zigbee_dongle_fw_version': None,
}),
'12345678901006': dict({
'admin_state': 6,
'admin_state_str': 'ENCHG_STATE_READY',
'bmu_firmware_version': '3.8.63',
'comm_level_2_4_ghz': 0,
'comm_level_sub_ghz': 0,
'communicating': True,
'dc_switch_off': False,
'encharge_capacity': 5000,
'encharge_revision': 3,
'firmware_loaded_date': 1709749530,
'firmware_version': '3.0.6614_rel/31.13',
'installed_date': 1709749530,
'last_report_date': 1709829434,
'led_status': 12,
'max_cell_temp': 12,
'operating': None,
'part_number': '836-01826-r76',
'percent_full': 21,
'serial_number': '12345678901006',
'temperature': 12,
'temperature_unit': 'C',
'zigbee_dongle_fw_version': None,
}),
}),
'encharge_power': dict({
'12345678901002': dict({
'apparent_power_mva': -121000,
'real_power_mw': -121000,
'soc': 21,
}),
'12345678901003': dict({
'apparent_power_mva': -128000,
'real_power_mw': -128000,
'soc': 21,
}),
'12345678901004': dict({
'apparent_power_mva': -128000,
'real_power_mw': -128000,
'soc': 21,
}),
'12345678901005': dict({
'apparent_power_mva': -128000,
'real_power_mw': -128000,
'soc': 21,
}),
'12345678901006': dict({
'apparent_power_mva': -136000,
'real_power_mw': -136000,
'soc': 21,
}),
}),
'enpower': dict({
'admin_state': 24,
'admin_state_str': 'ENPWR_STATE_OPER_CLOSED',
'comm_level_2_4_ghz': 0,
'comm_level_sub_ghz': 0,
'communicating': True,
'firmware_loaded_date': 1709657837,
'firmware_version': '3.0.5654_rel/31.13',
'grid_mode': 'multimode-ongrid',
'installed_date': 1709657837,
'last_report_date': 1709829514,
'mains_admin_state': 'closed',
'mains_oper_state': 'closed',
'operating': None,
'part_number': '865-00378-r27',
'serial_number': '12345678901001',
'temperature': 72,
'temperature_unit': 'F',
'zigbee_dongle_fw_version': None,
}),
'inverters': dict({
'482243033093': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1695752940,
'last_report_duration': None,
'last_report_watts': 0,
'lifetime_energy': None,
'max_report_watts': 362,
'serial_number': '482243033093',
'temperature': None,
}),
'482243033113': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1695752919,
'last_report_duration': None,
'last_report_watts': 0,
'lifetime_energy': None,
'max_report_watts': 361,
'serial_number': '482243033113',
'temperature': None,
}),
'482246043645': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1695752947,
'last_report_duration': None,
'last_report_watts': 0,
'lifetime_energy': None,
'max_report_watts': 361,
'serial_number': '482246043645',
'temperature': None,
}),
'482246047675': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1695752865,
'last_report_duration': None,
'last_report_watts': 0,
'lifetime_energy': None,
'max_report_watts': 361,
'serial_number': '482246047675',
'temperature': None,
}),
'482246047880': dict({
'ac_current': None,
'ac_frequency': None,
'ac_voltage': None,
'dc_current': None,
'dc_voltage': None,
'energy_produced': None,
'energy_today': None,
'last_report_date': 1695752936,
'last_report_duration': None,
'last_report_watts': 0,
'lifetime_energy': None,
'max_report_watts': 360,
'serial_number': '482246047880',
'temperature': None,
}),
}),
'raw': dict({
'/admin/lib/tariff': dict({
'schedule': dict({
'batt_mode': 'self-consumption',
'battery_mode': 'self-consumption',
'charge_from_grid': False,
'date': '2024-03-06 22:58:46 UTC',
'filename': 'Tariff',
'operation_mode_sub_type': 'prioritize-energy',
'override': False,
'override_backup_soc': 30,
'override_chg_dischg_rate': 0,
'override_tou_mode': 'StorageTouMode_DEFAULT_TOU_MODE',
'reserved_soc': 20,
'schedule': dict({
'Disable': list([
dict({
'Sun': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Mon': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Tue': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Wed': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Thu': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Fri': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
dict({
'Sat': list([
dict({
'duration': 1440,
'setting': 'ID',
'start': 0,
}),
]),
}),
]),
'tariff': list([
dict({
'Fri': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Mon': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Sat': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Sun': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Thu': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Tue': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Wed': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'end': '10/1',
'start': '6/1',
}),
dict({
'Fri': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Mon': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Sat': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Sun': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Thu': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Tue': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'Wed': list([
dict({
'duration': 1440,
'setting': 'ZN',
'start': 0,
}),
]),
'end': '6/1',
'start': '10/1',
}),
]),
}),
'source': 'Tariff',
'version': '00.00.02',
'very_low_soc': 10,
}),
'tariff': dict({
'currency': dict({
'code': 'USD',
}),
'date': '1709367413',
'logger': 'mylogger',
'seasons': list([
dict({
'days': list([
dict({
'days': 'Mon,Tue,Wed,Thu,Fri',
'enable_discharge_to_grid': False,
'id': 'weekdays',
'must_charge_duration': 0,
'must_charge_mode': 'CP',
'must_charge_start': 0,
'peak_rule': 'DL',
'periods': list([
dict({
'id': 'filler',
'rate': 0.321370005607605,
'start': 0,
}),
dict({
'id': 'period_2',
'rate': 0.5212500095367432,
'start': 900,
}),
dict({
'id': 'period_1',
'rate': 0.6300299763679504,
'start': 960,
}),
dict({
'id': 'period_3',
'rate': 0.5212500095367432,
'start': 1260,
}),
dict({
'id': 'filler',
'rate': 0.321370005607605,
'start': 1439,
}),
]),
}),
dict({
'days': 'Sat,Sun',
'enable_discharge_to_grid': False,
'id': 'weekend',
'must_charge_duration': 0,
'must_charge_mode': 'CP',
'must_charge_start': 0,
'peak_rule': 'DL',
'periods': list([
dict({
'id': 'filler',
'rate': 0.321370005607605,
'start': 0,
}),
dict({
'id': 'period_2',
'rate': 0.5212500095367432,
'start': 900,
}),
dict({
'id': 'period_1',
'rate': 0.6300299763679504,
'start': 960,
}),
dict({
'id': 'period_3',
'rate': 0.5212500095367432,
'start': 1260,
}),
dict({
'id': 'filler',
'rate': 0.321370005607605,
'start': 1439,
}),
]),
}),
]),
'id': 'summer',
'start': '6/1',
'tiers': list([
]),
}),
dict({
'days': list([
dict({
'days': 'Mon,Tue,Wed,Thu,Fri',
'enable_discharge_to_grid': False,
'id': 'weekdays',
'must_charge_duration': 0,
'must_charge_mode': 'CP',
'must_charge_start': 0,
'peak_rule': 'DL',
'periods': list([
dict({
'id': 'filler',
'rate': 0.3213590085506439,
'start': 0,
}),
dict({
'id': 'period_2',
'rate': 0.4895789921283722,
'start': 900,
}),
dict({
'id': 'period_1',
'rate': 0.5047900080680847,
'start': 960,
}),
dict({
'id': 'period_3',
'rate': 0.4895789921283722,
'start': 1260,
}),
dict({
'id': 'filler',
'rate': 0.3213590085506439,
'start': 1439,
}),
]),
}),
dict({
'days': 'Sat,Sun',
'enable_discharge_to_grid': False,
'id': 'weekend',
'must_charge_duration': 0,
'must_charge_mode': 'CP',
'must_charge_start': 0,
'peak_rule': 'DL',
'periods': list([
dict({
'id': 'filler',
'rate': 0.3213590085506439,
'start': 0,
}),
dict({
'id': 'period_2',
'rate': 0.4895789921283722,
'start': 900,
}),
dict({
'id': 'period_1',
'rate': 0.5047900080680847,
'start': 960,
}),
dict({
'id': 'period_3',
'rate': 0.4895789921283722,
'start': 1260,
}),
dict({
'id': 'filler',
'rate': 0.3213590085506439,
'start': 1439,
}),
]),
}),
]),
'id': 'winter',
'start': '10/1',
'tiers': list([
]),
}),
]),
'seasons_sell': list([
]),
'single_rate': dict({
'rate': 0.321370005607605,
'sell': 9.899999713525176e-05,
}),
'storage_settings': dict({
'charge_from_grid': False,
'date': '1709339757',
'mode': 'self-consumption',
'operation_mode_sub_type': 'prioritize-energy',
'reserved_soc': 20,
'very_low_soc': 10,
}),
}),
}),
'/api/v1/production/inverters': list([
dict({
'devType': 1,
'lastReportDate': 1695752919,
'lastReportWatts': 0,
'maxReportWatts': 361,
'serialNumber': '482243033113',
}),
dict({
'devType': 1,
'lastReportDate': 1695752947,
'lastReportWatts': 0,
'maxReportWatts': 361,
'serialNumber': '482246043645',
}),
dict({
'devType': 1,
'lastReportDate': 1695752865,
'lastReportWatts': 0,
'maxReportWatts': 361,
'serialNumber': '482246047675',
}),
dict({
'devType': 1,
'lastReportDate': 1695752936,
'lastReportWatts': 0,
'maxReportWatts': 360,
'serialNumber': '482246047880',
}),
dict({
'devType': 1,
'lastReportDate': 1695752940,
'lastReportWatts': 0,
'maxReportWatts': 362,
'serialNumber': '482243033093',
}),
]),
'/ivp/ensemble/dry_contacts': dict({
'dry_contacts': list([
dict({
'id': 'NC1',
'status': 'closed',
}),
dict({
'id': 'NC2',
'status': 'closed',
}),
dict({
'id': 'NO1',
'status': 'closed',
}),
dict({
'id': 'NO2',
'status': 'closed',
}),
]),
}),
'/ivp/ensemble/inventory': list([
dict({
'devices': list([
dict({
'admin_state': 6,
'admin_state_str': 'ENCHG_STATE_READY',
'bmu_fw_version': '3.8.63',
'comm_level_2_4_ghz': 0,
'comm_level_sub_ghz': 0,
'communicating': True,
'created_date': 1709749530,
'dc_switch_off': False,
'der_index': 2,
'device_status': list([
'envoy.global.ok',
'prop.done',
]),
'encharge_capacity': 5000,
'encharge_rev': 3,
'img_load_date': 1709749530,
'img_pnum_running': '3.0.6614_rel/31.13',
'installed': 1709749530,
'last_rpt_date': 1709829434,
'led_status': 12,
'maxCellTemp': 12,
'part_num': '836-01826-r76',
'percentFull': 21,
'phase': 'ph-a',
'reported_enc_grid_state': 'grid-tied',
'serial_num': '12345678901006',
'sleep_enabled': False,
'temperature': 12,
}),
dict({
'admin_state': 6,
'admin_state_str': 'ENCHG_STATE_READY',
'bmu_fw_version': '3.8.63',
'comm_level_2_4_ghz': 0,
'comm_level_sub_ghz': 0,
'communicating': True,
'created_date': 1709410199,
'dc_switch_off': False,
'der_index': 2,
'device_status': list([
'envoy.global.ok',
'prop.done',
]),
'encharge_capacity': 5000,
'encharge_rev': 3,
'img_load_date': 1709410199,
'img_pnum_running': '3.0.6614_rel/31.13',
'installed': 1709410199,
'last_rpt_date': 1709829256,
'led_status': 12,
'maxCellTemp': 12,
'part_num': '836-01826-r76',
'percentFull': 21,
'phase': 'ph-a',
'reported_enc_grid_state': 'grid-tied',
'serial_num': '12345678901005',
'sleep_enabled': False,
'temperature': 11,
}),
dict({
'admin_state': 6,
'admin_state_str': 'ENCHG_STATE_READY',
'bmu_fw_version': '3.8.63',
'comm_level_2_4_ghz': 0,
'comm_level_sub_ghz': 0,
'communicating': True,
'created_date': 1707622567,
'dc_switch_off': False,
'der_index': 2,
'device_status': list([
'envoy.global.ok',
'prop.done',
]),
'encharge_capacity': 5000,
'encharge_rev': 3,
'img_load_date': 1707622567,
'img_pnum_running': '3.0.6614_rel/31.13',
'installed': 1707622567,
'last_rpt_date': 1709829437,
'led_status': 12,
'maxCellTemp': 12,
'part_num': '836-01826-r76',
'percentFull': 21,
'phase': 'ph-a',
'reported_enc_grid_state': 'grid-tied',
'serial_num': '12345678901004',
'sleep_enabled': False,
'temperature': 12,
}),
dict({
'admin_state': 6,
'admin_state_str': 'ENCHG_STATE_READY',
'bmu_fw_version': '3.8.63',
'comm_level_2_4_ghz': 0,
'comm_level_sub_ghz': 0,
'communicating': True,
'created_date': 1706749292,
'dc_switch_off': False,
'der_index': 2,
'device_status': list([
'envoy.global.ok',
'prop.done',
]),
'encharge_capacity': 5000,
'encharge_rev': 3,
'img_load_date': 1706749292,
'img_pnum_running': '3.0.6614_rel/31.13',
'installed': 1706749292,
'last_rpt_date': 1709829288,
'led_status': 12,
'maxCellTemp': 12,
'part_num': '836-01826-r76',
'percentFull': 21,
'phase': 'ph-a',
'reported_enc_grid_state': 'grid-tied',
'serial_num': '12345678901003',
'sleep_enabled': False,
'temperature': 12,
}),
dict({
'admin_state': 6,
'admin_state_str': 'ENCHG_STATE_READY',
'bmu_fw_version': '3.8.63',
'comm_level_2_4_ghz': 0,
'comm_level_sub_ghz': 0,
'communicating': True,
'created_date': 1707197622,
'dc_switch_off': False,
'der_index': 3,
'device_status': list([
'envoy.global.ok',
'prop.done',
]),
'encharge_capacity': 5000,
'encharge_rev': 3,
'img_load_date': 1707197622,
'img_pnum_running': '3.0.6614_rel/31.13',
'installed': 1707197622,
'last_rpt_date': 1709829328,
'led_status': 12,
'maxCellTemp': 13,
'part_num': '836-01826-r81',
'percentFull': 21,
'phase': 'ph-a',
'reported_enc_grid_state': 'grid-tied',
'serial_num': '12345678901002',
'sleep_enabled': False,
'temperature': 13,
}),
]),
'type': 'ENCHARGE',
}),
dict({
'devices': list([
dict({
'Enchg_grid_mode': 'multimode-ongrid',
'Enpwr_curr_state_id': 16,
'Enpwr_grid_mode': 'multimode-ongrid',
'Enpwr_relay_state_bm': 15868,
'admin_state': 24,
'admin_state_str': 'ENPWR_STATE_OPER_CLOSED',
'comm_level_2_4_ghz': 0,
'comm_level_sub_ghz': 0,
'communicating': True,
'created_date': 1709657837,
'device_status': list([
'envoy.global.ok',
'prop.done',
]),
'img_load_date': 1709657837,
'img_pnum_running': '3.0.5654_rel/31.13',
'installed': 1709657837,
'last_rpt_date': 1709829514,
'mains_admin_state': 'closed',
'mains_oper_state': 'closed',
'part_num': '865-00378-r27',
'serial_num': '12345678901001',
'temperature': 72,
}),
]),
'type': 'ENPOWER',
}),
]),
'/ivp/ensemble/power': dict({
'devices:': list([
dict({
'apparent_power_mva': -136000,
'real_power_mw': -136000,
'serial_num': '12345678901006',
'soc': 21,
}),
dict({
'apparent_power_mva': -128000,
'real_power_mw': -128000,
'serial_num': '12345678901005',
'soc': 21,
}),
dict({
'apparent_power_mva': -128000,
'real_power_mw': -128000,
'serial_num': '12345678901004',
'soc': 21,
}),
dict({
'apparent_power_mva': -128000,
'real_power_mw': -128000,
'serial_num': '12345678901003',
'soc': 21,
}),
dict({
'apparent_power_mva': -121000,
'real_power_mw': -121000,
'serial_num': '12345678901002',
'soc': 21,
}),
]),
}),
'/ivp/ensemble/secctrl': dict({
'ACB_agg_energy': 0,
'ACB_agg_soc': 0,
'Commission_in_progress': False,
'ENC_agg_avail_energy': 5250,
'ENC_agg_backup_energy': 5000,
'ENC_agg_soc': 21,
'ENC_agg_soh': 100,
'ESS_in_progress': False,
'Enc_commissioned_capacity': 25000,
'Enc_max_available_capacity': 25000,
'Max_energy': 25000,
'VLS_Limit': 10,
'adjusted_backup_soc': 20,
'agg_soc': 21,
'configured_backup_soc': 20,
'freq_bias_hz': -0.06000090762972832,
'freq_bias_hz_phaseb': 0.0,
'freq_bias_hz_phasec': 0.0,
'freq_bias_hz_q8': -96,
'freq_bias_hz_q8_phaseb': 0,
'freq_bias_hz_q8_phasec': 0,
'shutdown': False,
'soc_rec_enabled': False,
'soc_recovery_entry': 2,
'soc_recovery_exit': 10,
'voltage_bias_v': -0.7205159664154053,
'voltage_bias_v_phaseb': 0.0,
'voltage_bias_v_phasec': 0.0,
'voltage_bias_v_q5': -23,
'voltage_bias_v_q5_phaseb': 0,
'voltage_bias_v_q5_phasec': 0,
}),
'/ivp/meters': list([
dict({
'eid': 704643328,
'measurementType': 'production',
'meteringStatus': 'normal',
'phaseCount': 2,
'phaseMode': 'split',
'state': 'enabled',
'statusFlags': list([
]),
}),
dict({
'eid': 704643584,
'measurementType': 'net-consumption',
'meteringStatus': 'normal',
'phaseCount': 2,
'phaseMode': 'split',
'state': 'enabled',
'statusFlags': list([
]),
}),
dict({
'eid': 704643840,
'measurementType': 'storage',
'meteringStatus': 'normal',
'phaseCount': 2,
'phaseMode': 'split',
'state': 'enabled',
'statusFlags': list([
]),
}),
]),
'/ivp/meters/readings': list([
dict({
'actEnergyDlvd': 3165834.272,
'actEnergyRcvd': 75.689,
'activePower': 1714.424,
'apparentEnergy': 5529628.28,
'apparentPower': 2100.04,
'channels': list([
dict({
'actEnergyDlvd': 1581746.293,
'actEnergyRcvd': 45.89,
'activePower': 856.031,
'apparentEnergy': 2763520.42,
'apparentPower': 1049.732,
'current': 8.658,
'eid': 1778385169,
'freq': 60.0,
'instantaneousDemand': 856.031,
'pwrFactor': 0.822,
'reactEnergyLagg': 803725.479,
'reactEnergyLead': 33935.538,
'reactivePower': 8.366,
'timestamp': 1709829517,
'voltage': 121.224,
}),
dict({
'actEnergyDlvd': 1584087.979,
'actEnergyRcvd': 29.799,
'activePower': 858.394,
'apparentEnergy': 2766107.86,
'apparentPower': 1050.307,
'current': 8.668,
'eid': 1778385170,
'freq': 60.0,
'instantaneousDemand': 858.394,
'pwrFactor': 0.812,
'reactEnergyLagg': 803599.733,
'reactEnergyLead': 34616.443,
'reactivePower': 12.499,
'timestamp': 1709829517,
'voltage': 121.143,
}),
dict({
'actEnergyDlvd': 0.0,
'actEnergyRcvd': 0.0,
'activePower': 0.0,
'apparentEnergy': 0.0,
'apparentPower': 0.0,
'current': 0.0,
'eid': 1778385171,
'freq': 60.0,
'instantaneousDemand': 0.0,
'pwrFactor': 0.0,
'reactEnergyLagg': 0.0,
'reactEnergyLead': 0.0,
'reactivePower': 0.0,
'timestamp': 1709829517,
'voltage': 0.0,
}),
]),
'current': 17.326,
'eid': 704643328,
'freq': 60.0,
'instantaneousDemand': 1714.424,
'pwrFactor': 0.817,
'reactEnergyLagg': 1607325.212,
'reactEnergyLead': 68551.981,
'reactivePower': 20.865,
'timestamp': 1709829517,
'voltage': 242.367,
}),
dict({
'actEnergyDlvd': 4998251.825,
'actEnergyRcvd': 253960.783,
'activePower': 129.407,
'apparentEnergy': 12810156.532,
'apparentPower': 2578.068,
'channels': list([
dict({
'actEnergyDlvd': 2631217.196,
'actEnergyRcvd': 93777.056,
'activePower': -201.39,
'apparentEnergy': 6787276.689,
'apparentPower': 1130.056,
'current': 9.316,
'eid': 1778385425,
'freq': 60.0,
'instantaneousDemand': -201.39,
'pwrFactor': -0.193,
'reactEnergyLagg': 79.572,
'reactEnergyLead': 5042497.945,
'reactivePower': -935.571,
'timestamp': 1709829517,
'voltage': 121.334,
}),
dict({
'actEnergyDlvd': 2367034.629,
'actEnergyRcvd': 160183.727,
'activePower': 330.797,
'apparentEnergy': 6022879.843,
'apparentPower': 1448.012,
'current': 11.925,
'eid': 1778385426,
'freq': 60.0,
'instantaneousDemand': 330.797,
'pwrFactor': 0.212,
'reactEnergyLagg': 105.465,
'reactEnergyLead': 4128101.723,
'reactivePower': -1295.012,
'timestamp': 1709829517,
'voltage': 121.219,
}),
dict({
'actEnergyDlvd': 1137498.944,
'actEnergyRcvd': 1486121.902,
'activePower': -464.966,
'apparentEnergy': 3935472.955,
'apparentPower': 640.741,
'current': 5.259,
'eid': 1778385427,
'freq': 60.0,
'instantaneousDemand': -464.966,
'pwrFactor': -0.713,
'reactEnergyLagg': 1355134.893,
'reactEnergyLead': 31326.355,
'reactivePower': 377.197,
'timestamp': 1709829517,
'voltage': 121.248,
}),
]),
'current': 21.241,
'eid': 704643584,
'freq': 60.0,
'instantaneousDemand': 129.407,
'pwrFactor': 0.034,
'reactEnergyLagg': 185.037,
'reactEnergyLead': 9170599.668,
'reactivePower': -2230.583,
'timestamp': 1709829517,
'voltage': 242.553,
}),
dict({
'actEnergyDlvd': 2274358.602,
'actEnergyRcvd': 2971414.344,
'activePower': -2579.823,
'apparentEnergy': 7881024.906,
'apparentPower': 461.253,
'channels': list([
dict({
'actEnergyDlvd': 1136859.658,
'actEnergyRcvd': 1485292.441,
'activePower': -2114.856,
'apparentEnergy': 3945551.951,
'apparentPower': -179.488,
'current': 9.316,
'eid': 1778385681,
'freq': 60.0,
'instantaneousDemand': -2114.856,
'pwrFactor': -0.193,
'reactEnergyLagg': 1358495.518,
'reactEnergyLead': 31391.267,
'reactivePower': 299.583,
'timestamp': 1709829517,
'voltage': 121.334,
}),
dict({
'actEnergyDlvd': 1137498.944,
'actEnergyRcvd': 1486121.902,
'activePower': -464.966,
'apparentEnergy': 3935472.955,
'apparentPower': 640.741,
'current': 5.259,
'eid': 1778385682,
'freq': 60.0,
'instantaneousDemand': -464.966,
'pwrFactor': -0.713,
'reactEnergyLagg': 1355134.893,
'reactEnergyLead': 31326.355,
'reactivePower': 377.197,
'timestamp': 1709829517,
'voltage': 121.248,
}),
dict({
'actEnergyDlvd': 0.0,
'actEnergyRcvd': 0.0,
'activePower': 0.0,
'apparentEnergy': 0.0,
'apparentPower': 0.0,
'current': 0.0,
'eid': 1778385683,
'freq': 0.0,
'instantaneousDemand': 0.0,
'pwrFactor': 0.0,
'reactEnergyLagg': 0.0,
'reactEnergyLead': 0.0,
'reactivePower': 0.0,
'timestamp': 1709829517,
'voltage': 0.0,
}),
]),
'current': 14.575,
'eid': 704643840,
'freq': 60.0,
'instantaneousDemand': -2579.823,
'pwrFactor': -1.0,
'reactEnergyLagg': 2713630.41,
'reactEnergyLead': 62717.621,
'reactivePower': 676.781,
'timestamp': 1709829517,
'voltage': 242.582,
}),
]),
'/ivp/ss/dry_contact_settings': dict({
'dry_contacts': list([
dict({
'black_s_start': 5,
'essential_end_time': 57600,
'essential_start_time': 32400,
'gen_action': 'none',
'grid_action': 'none',
'id': 'NC1',
'load_name': '',
'manual_override': 'true',
'micro_grid_action': 'none',
'mode': 'manual',
'override': 'false',
'priority': 1,
'pv_serial_nb': list([
]),
'soc_high': 40,
'soc_low': 30,
'type': 'NONE',
}),
dict({
'black_s_start': 5,
'essential_end_time': 57600,
'essential_start_time': 32400,
'gen_action': 'none',
'grid_action': 'none',
'id': 'NC2',
'load_name': '',
'manual_override': 'true',
'micro_grid_action': 'none',
'mode': 'manual',
'override': 'false',
'priority': 2,
'pv_serial_nb': list([
]),
'soc_high': 40,
'soc_low': 30,
'type': 'NONE',
}),
dict({
'black_s_start': 5,
'essential_end_time': 57600,
'essential_start_time': 32400,
'gen_action': 'none',
'grid_action': 'none',
'id': 'NO1',
'load_name': '',
'manual_override': 'true',
'micro_grid_action': 'none',
'mode': 'manual',
'override': 'false',
'priority': 3,
'pv_serial_nb': list([
]),
'soc_high': 40,
'soc_low': 30,
'type': 'NONE',
}),
dict({
'black_s_start': 5,
'essential_end_time': 57600,
'essential_start_time': 32400,
'gen_action': 'none',
'grid_action': 'none',
'id': 'NO2',
'load_name': '',
'manual_override': 'true',
'micro_grid_action': 'none',
'mode': 'manual',
'override': 'false',
'priority': 4,
'pv_serial_nb': list([
]),
'soc_high': 40,
'soc_low': 30,
'type': 'NONE',
}),
]),
}),
'/production.json?details=1': dict({
'consumption': list([
dict({
'activeCount': 1,
'apprntPwr': 2416.339,
'measurementType': 'total-consumption',
'pwrFactor': 0.75,
'reactPwr': -2209.719,
'readingTime': 1709829518,
'rmsCurrent': 19.934,
'rmsVoltage': 242.553,
'type': 'eim',
'vahLifetime': 12810156.532,
'vahToday': 4946716.532,
'varhLagLifetime': -1607140.175,
'varhLagToday': 9360.0,
'varhLeadLifetime': 9102047.686,
'varhLeadToday': 9039334.686,
'wNow': 1843.831,
'whLastSevenDays': 0.0,
'whLifetime': 7909866.491,
'whToday': 7596.0,
}),
dict({
'activeCount': 1,
'apprntPwr': 315.151,
'measurementType': 'net-consumption',
'pwrFactor': 0.28,
'reactPwr': -2230.583,
'readingTime': 1709829518,
'rmsCurrent': 2.609,
'rmsVoltage': 242.553,
'type': 'eim',
'vahLifetime': 12810156.532,
'vahToday': 0,
'varhLagLifetime': 185.037,
'varhLagToday': 0,
'varhLeadLifetime': 9170599.668,
'varhLeadToday': 0,
'wNow': 129.407,
'whLastSevenDays': 0,
'whLifetime': 4744549.864,
'whToday': 0,
}),
]),
'production': list([
dict({
'activeCount': 35,
'readingTime': 1709829490,
'type': 'inverters',
'wNow': 1592,
'whLifetime': 821819,
}),
dict({
'activeCount': 1,
'apprntPwr': 2100.04,
'measurementType': 'production',
'pwrFactor': 0.82,
'reactPwr': 20.865,
'readingTime': 1709829518,
'rmsCurrent': 17.326,
'rmsVoltage': 242.367,
'type': 'eim',
'vahLifetime': 5529628.28,
'vahToday': 8010.28,
'varhLagLifetime': 1607325.212,
'varhLagToday': 5202.212,
'varhLeadLifetime': 68551.981,
'varhLeadToday': 0.981,
'wNow': 1714.424,
'whLastSevenDays': 3164458.272,
'whLifetime': 3165834.272,
'whToday': 1475.272,
}),
]),
'storage': list([
dict({
'activeCount': 0,
'readingTime': 0,
'state': 'idle',
'type': 'acb',
'wNow': 0,
'whNow': 0,
}),
]),
}),
}),
'system_consumption': dict({
'watt_hours_last_7_days': 0,
'watt_hours_lifetime': 7909866,
'watt_hours_today': 7596,
'watts_now': 1844,
}),
'system_consumption_phases': None,
'system_net_consumption': dict({
'watt_hours_last_7_days': 0,
'watt_hours_lifetime': 4744550,
'watt_hours_today': 0,
'watts_now': 129,
}),
'system_net_consumption_phases': None,
'system_production': dict({
'watt_hours_last_7_days': 3164458,
'watt_hours_lifetime': 3165834,
'watt_hours_today': 1475,
'watts_now': 1714,
}),
'system_production_phases': None,
'tariff': dict({
'currency': dict({
'code': 'USD',
}),
'date': '1709367413',
'logger': 'mylogger',
'seasons': list([
dict({
'days': list([
dict({
'days': 'Mon,Tue,Wed,Thu,Fri',
'enable_discharge_to_grid': False,
'id': 'weekdays',
'must_charge_duration': 0,
'must_charge_mode': 'CP',
'must_charge_start': 0,
'peak_rule': 'DL',
'periods': list([
dict({
'id': 'filler',
'rate': 0.321370005607605,
'start': 0,
}),
dict({
'id': 'period_2',
'rate': 0.5212500095367432,
'start': 900,
}),
dict({
'id': 'period_1',
'rate': 0.6300299763679504,
'start': 960,
}),
dict({
'id': 'period_3',
'rate': 0.5212500095367432,
'start': 1260,
}),
dict({
'id': 'filler',
'rate': 0.321370005607605,
'start': 1439,
}),
]),
}),
dict({
'days': 'Sat,Sun',
'enable_discharge_to_grid': False,
'id': 'weekend',
'must_charge_duration': 0,
'must_charge_mode': 'CP',
'must_charge_start': 0,
'peak_rule': 'DL',
'periods': list([
dict({
'id': 'filler',
'rate': 0.321370005607605,
'start': 0,
}),
dict({
'id': 'period_2',
'rate': 0.5212500095367432,
'start': 900,
}),
dict({
'id': 'period_1',
'rate': 0.6300299763679504,
'start': 960,
}),
dict({
'id': 'period_3',
'rate': 0.5212500095367432,
'start': 1260,
}),
dict({
'id': 'filler',
'rate': 0.321370005607605,
'start': 1439,
}),
]),
}),
]),
'id': 'summer',
'start': '6/1',
'tiers': list([
]),
}),
dict({
'days': list([
dict({
'days': 'Mon,Tue,Wed,Thu,Fri',
'enable_discharge_to_grid': False,
'id': 'weekdays',
'must_charge_duration': 0,
'must_charge_mode': 'CP',
'must_charge_start': 0,
'peak_rule': 'DL',
'periods': list([
dict({
'id': 'filler',
'rate': 0.3213590085506439,
'start': 0,
}),
dict({
'id': 'period_2',
'rate': 0.4895789921283722,
'start': 900,
}),
dict({
'id': 'period_1',
'rate': 0.5047900080680847,
'start': 960,
}),
dict({
'id': 'period_3',
'rate': 0.4895789921283722,
'start': 1260,
}),
dict({
'id': 'filler',
'rate': 0.3213590085506439,
'start': 1439,
}),
]),
}),
dict({
'days': 'Sat,Sun',
'enable_discharge_to_grid': False,
'id': 'weekend',
'must_charge_duration': 0,
'must_charge_mode': 'CP',
'must_charge_start': 0,
'peak_rule': 'DL',
'periods': list([
dict({
'id': 'filler',
'rate': 0.3213590085506439,
'start': 0,
}),
dict({
'id': 'period_2',
'rate': 0.4895789921283722,
'start': 900,
}),
dict({
'id': 'period_1',
'rate': 0.5047900080680847,
'start': 960,
}),
dict({
'id': 'period_3',
'rate': 0.4895789921283722,
'start': 1260,
}),
dict({
'id': 'filler',
'rate': 0.3213590085506439,
'start': 1439,
}),
]),
}),
]),
'id': 'winter',
'start': '10/1',
'tiers': list([
]),
}),
]),
'seasons_sell': list([
]),
'single_rate': dict({
'rate': 0.321370005607605,
'sell': 9.899999713525176e-05,
}),
'storage_settings': dict({
'charge_from_grid': False,
'date': '1709339757',
'mode': ,
'operation_mode_sub_type': 'prioritize-energy',
'opt_schedules': None,
'reserved_soc': 20,
'very_low_soc': 10,
}),
}),
})
# ---
# name: test_with_7_x_firmware[8.2.127_with_generator_running]
dict({
'acb_power': None,
'battery_aggregate': None,
'c6cc': None,
'collar': None,
'ctmeter_consumption': dict({
'active_power': 196,
'current': 9.098,
'eid': 704643584,
'energy_delivered': 13632727,
'energy_received': 6336017,
'frequency': 60.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': 0.398,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1718213332,
'voltage': 243.047,
}),
'ctmeter_consumption_phases': dict({
: dict({
'active_power': 268,
'current': 4.859,
'eid': 1778385425,
'energy_delivered': 7037859,
'energy_received': 2542489,
'frequency': 60.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': 0.637,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1718213332,
'voltage': 121.856,
}),
: dict({
'active_power': -72,
'current': 4.239,
'eid': 1778385426,
'energy_delivered': 6594868,
'energy_received': 3793528,
'frequency': 60.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': 0.081,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1718213332,
'voltage': 121.192,
}),
}),
'ctmeter_production': dict({
'active_power': 2336,
'current': 21.222,
'eid': 704643328,
'energy_delivered': 15097305,
'energy_received': 15,
'frequency': 60.062,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.88,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1718213332,
'voltage': 242.887,
}),
'ctmeter_production_phases': dict({
: dict({
'active_power': 1173,
'current': 10.607,
'eid': 1778385169,
'energy_delivered': 7551632,
'energy_received': 8,
'frequency': 60.062,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.883,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1718213332,
'voltage': 121.774,
}),
: dict({
'active_power': 1163,
'current': 10.615,
'eid': 1778385170,
'energy_delivered': 7545672,
'energy_received': 8,
'frequency': 60.062,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.877,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1718213332,
'voltage': 121.113,
}),
}),
'ctmeter_storage': None,
'ctmeter_storage_phases': None,
'ctmeters': dict({
'net-consumption': dict({
'active_power': 196,
'current': 9.098,
'eid': 704643584,
'energy_delivered': 13632727,
'energy_received': 6336017,
'frequency': 60.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': 0.398,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1718213332,
'voltage': 243.047,
}),
'production': dict({
'active_power': 2336,
'current': 21.222,
'eid': 704643328,
'energy_delivered': 15097305,
'energy_received': 15,
'frequency': 60.062,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.88,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1718213332,
'voltage': 242.887,
}),
}),
'ctmeters_phases': dict({
'net-consumption': dict({
: dict({
'active_power': 268,
'current': 4.859,
'eid': 1778385425,
'energy_delivered': 7037859,
'energy_received': 2542489,
'frequency': 60.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': 0.637,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1718213332,
'voltage': 121.856,
}),
: dict({
'active_power': -72,
'current': 4.239,
'eid': 1778385426,
'energy_delivered': 6594868,
'energy_received': 3793528,
'frequency': 60.0,
'measurement_type': 'net-consumption',
'metering_status': 'normal',
'power_factor': 0.081,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1718213332,
'voltage': 121.192,
}),
}),
'production': dict({
: dict({
'active_power': 1173,
'current': 10.607,
'eid': 1778385169,
'energy_delivered': 7551632,
'energy_received': 8,
'frequency': 60.062,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.883,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1718213332,
'voltage': 121.774,
}),
: dict({
'active_power': 1163,
'current': 10.615,
'eid': 1778385170,
'energy_delivered': 7545672,
'energy_received': 8,
'frequency': 60.062,
'measurement_type': 'production',
'metering_status': 'normal',
'power_factor': 0.877,
'state': 'enabled',
'status_flags': list([
]),
'timestamp': 1718213332,
'voltage': 121.113,
}),
}),
}),
'dry_contact_settings': dict({
'NC1': dict({
'black_start': 5.0,
'essential_end_time': 57600.0,
'essential_start_time': 32400.0,
'generator_action': ,
'grid_action': ,
'id': 'NC1',
'load_name': '',
'manual_override': True,
'micro_grid_action': ,
'mode': ,
'override': False,
'priority': 1.0,
'pv_serial_nb': list([
]),
'soc_high': 70.0,
'soc_low': 30.0,
'type': ,
}),
'NC2': dict({
'black_start': 5.0,
'essential_end_time': 57600.0,
'essential_start_time': 32400.0,
'generator_action': ,
'grid_action': ,
'id': 'NC2',
'load_name': '',
'manual_override': True,
'micro_grid_action': ,
'mode': ,
'override': False,
'priority': 2.0,
'pv_serial_nb': list([
]),
'soc_high': 70.0,
'soc_low': 30.0,
'type': ,
}),
'NO1': dict({
'black_start': 5.0,
'essential_end_time': 82800.0,
'essential_start_time': 21600.0,
'generator_action': ,
'grid_action': ,
'id': 'NO1',
'load_name': 'Fridge and Freezer',
'manual_override': True,
'micro_grid_action': 
