Files
EOS/src/akkudoktoreos/prediction/pvforecastimport.py
T
Bobby NoelteandGitHub 3bb0e02aed fix: provider settings in top level field of configuration (#1161)
Configuration for some providers was given in the sub-field `provider_settings`
combining the settings of several providers. Pydantic does not understand
this very well and the configuration became cumbersome, especially in EOSdash.

All provider settings from the `provider-settings` sub-field are now lifted
to the top level field of the configuration.

The changes are automatically migrated in the configuration.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2026-07-20 14:37:03 +02:00

83 lines
3.3 KiB
Python

"""Retrieves pvforecast forecast data from an import file.
This module provides classes and mappings to manage pvforecast data obtained from
an import file, including support for various pvforecast attributes such as temperature,
humidity, cloud cover, and solar irradiance. The data is mapped to the `PVForecastDataRecord`
format, enabling consistent access to forecasted and historical pvforecast attributes.
"""
from pathlib import Path
from typing import Optional, Union
from loguru import logger
from pydantic import Field, field_validator
from akkudoktoreos.config.configabc import SettingsBaseModel
from akkudoktoreos.prediction.predictionabc import PredictionImportProvider
from akkudoktoreos.prediction.pvforecastabc import PVForecastProvider
class PVForecastImportCommonSettings(SettingsBaseModel):
"""Common settings for pvforecast data import from file or JSON string."""
import_file_path: Optional[Union[str, Path]] = Field(
default=None,
json_schema_extra={
"description": "Path to the file to import PV forecast data from.",
"examples": [None, "/path/to/pvforecast.json"],
},
)
import_json: Optional[str] = Field(
default=None,
json_schema_extra={
"description": "JSON string, dictionary of PV forecast value lists.",
"examples": ['{"pvforecast_ac_power": [0, 8.05, 352.91]}'],
},
)
# Validators
@field_validator("import_file_path", mode="after")
@classmethod
def validate_import_file_path(cls, value: Optional[Union[str, Path]]) -> Optional[Path]:
if value is None:
return None
if isinstance(value, str):
value = Path(value)
"""Ensure file is available."""
value.resolve()
if not value.is_file():
raise ValueError(f"Import file path '{value}' is not a file.")
return value
class PVForecastImport(PVForecastProvider, PredictionImportProvider):
"""Fetch PV forecast data from import file or JSON string.
PVForecastImport is a singleton-based class that retrieves pvforecast forecast data
from a file or JSON string and maps it to `PVForecastDataRecord` fields. It manages the forecast
over a range of hours into the future and retains historical data.
"""
@classmethod
def provider_id(cls) -> str:
"""Return the unique identifier for the PVForecastImport provider."""
return "PVForecastImport"
async def _update_data(self, force_update: Optional[bool] = False) -> None:
# Both _sequence_lock and _record_lock are already held by the caller.
# Use internal sync methods only — never await public async counterparts.
if self.config.pvforecast.pvforecastimport is None:
logger.debug(f"{self.provider_id()} data update without provider settings.")
return
if self.config.pvforecast.pvforecastimport.import_file_path is not None:
await self._import_from_file(
self.config.pvforecast.pvforecastimport.import_file_path,
key_prefix="pvforecast",
)
if self.config.pvforecast.pvforecastimport.import_json is not None:
await self._import_from_json(
self.config.pvforecast.pvforecastimport.import_json,
key_prefix="pvforecast",
)