mirror of
https://github.com/Akkudoktor-EOS/EOS.git
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ab6a518b5f
Make EOSdash use UI components from MonsterUI to ease further development. - Add a first menu with some dummy pages and the configuration page. - Make the configuration scrollable. - Add markdown component that uses markdown-it-py (same as used by the myth-parser for documentation generation). - Add bokeh (https://docs.bokeh.org/) component for charts - Added several prediction charts to demo - Add a footer that displays connection status with EOS server - Add logo and favicon Update EOS server: - Move error message generation to extra module - Use redirect instead of proxy Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
79 lines
3.1 KiB
Python
79 lines
3.1 KiB
Python
"""Retrieves pvforecast forecast data from an import file.
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This module provides classes and mappings to manage pvforecast data obtained from
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an import file, including support for various pvforecast attributes such as temperature,
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humidity, cloud cover, and solar irradiance. The data is mapped to the `PVForecastDataRecord`
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format, enabling consistent access to forecasted and historical pvforecast attributes.
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"""
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from pathlib import Path
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from typing import Optional, Union
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from pydantic import Field, field_validator
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from akkudoktoreos.config.configabc import SettingsBaseModel
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from akkudoktoreos.core.logging import get_logger
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from akkudoktoreos.prediction.predictionabc import PredictionImportProvider
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from akkudoktoreos.prediction.pvforecastabc import PVForecastProvider
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logger = get_logger(__name__)
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class PVForecastImportCommonSettings(SettingsBaseModel):
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"""Common settings for pvforecast data import from file or JSON string."""
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import_file_path: Optional[Union[str, Path]] = Field(
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default=None,
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description="Path to the file to import PV forecast data from.",
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examples=[None, "/path/to/pvforecast.json"],
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)
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import_json: Optional[str] = Field(
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default=None,
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description="JSON string, dictionary of PV forecast value lists.",
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examples=['{"pvforecast_ac_power": [0, 8.05, 352.91]}'],
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)
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# Validators
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@field_validator("import_file_path", mode="after")
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@classmethod
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def validate_import_file_path(cls, value: Optional[Union[str, Path]]) -> Optional[Path]:
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if value is None:
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return None
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if isinstance(value, str):
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value = Path(value)
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"""Ensure file is available."""
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value.resolve()
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if not value.is_file():
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raise ValueError(f"Import file path '{value}' is not a file.")
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return value
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class PVForecastImport(PVForecastProvider, PredictionImportProvider):
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"""Fetch PV forecast data from import file or JSON string.
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PVForecastImport is a singleton-based class that retrieves pvforecast forecast data
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from a file or JSON string and maps it to `PVForecastDataRecord` fields. It manages the forecast
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over a range of hours into the future and retains historical data.
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"""
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@classmethod
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def provider_id(cls) -> str:
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"""Return the unique identifier for the PVForecastImport provider."""
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return "PVForecastImport"
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def _update_data(self, force_update: Optional[bool] = False) -> None:
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if self.config.pvforecast.provider_settings is None:
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logger.debug(f"{self.provider_id()} data update without provider settings.")
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return
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if self.config.pvforecast.provider_settings.import_file_path is not None:
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self.import_from_file(
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self.config.pvforecast.provider_settings.import_file_path,
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key_prefix="pvforecast",
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)
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if self.config.pvforecast.provider_settings.import_json is not None:
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self.import_from_json(
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self.config.pvforecast.provider_settings.import_json,
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key_prefix="pvforecast",
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)
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