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Nested config, devices registry

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* All config now nested.
    - Use default config from model field default values. If providers
      should be enabled by default, non-empty default config file could
      be provided again.
    - Environment variable support with EOS_ prefix and __ between levels,
      e.g. EOS_SERVER__EOS_SERVER_PORT=8503 where all values are case
      insensitive.
      For more information see:
      https://docs.pydantic.dev/latest/concepts/pydantic_settings/#parsing-environment-variable-values
    - Use devices as registry for configured devices. DeviceBase as base
      class with for now just initializion support (in the future expand
      to operations during optimization).
    - Strip down ConfigEOS to the only configuration instance. Reload
      from file or reset to defaults is possible.

 * Fix multi-initialization of derived SingletonMixin classes.
This commit is contained in:
Dominique Lasserre
2025-01-12 05:19:37 +01:00
parent f09658578a
commit be26457563
72 changed files with 1297 additions and 1712 deletions
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98
single_test_prediction.py
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@@ -16,32 +16,36 @@ prediction_eos = get_prediction()
def config_pvforecast() -> dict:
"""Configure settings for PV forecast."""
settings = {
"prediction_hours": 48,
"prediction_historic_hours": 24,
"latitude": 52.52,
"longitude": 13.405,
"pvforecast_provider": "PVForecastAkkudoktor",
"pvforecast0_peakpower": 5.0,
"pvforecast0_surface_azimuth": -10,
"pvforecast0_surface_tilt": 7,
"pvforecast0_userhorizon": [20, 27, 22, 20],
"pvforecast0_inverter_paco": 10000,
"pvforecast1_peakpower": 4.8,
"pvforecast1_surface_azimuth": -90,
"pvforecast1_surface_tilt": 7,
"pvforecast1_userhorizon": [30, 30, 30, 50],
"pvforecast1_inverter_paco": 10000,
"pvforecast2_peakpower": 1.4,
"pvforecast2_surface_azimuth": -40,
"pvforecast2_surface_tilt": 60,
"pvforecast2_userhorizon": [60, 30, 0, 30],
"pvforecast2_inverter_paco": 2000,
"pvforecast3_peakpower": 1.6,
"pvforecast3_surface_azimuth": 5,
"pvforecast3_surface_tilt": 45,
"pvforecast3_userhorizon": [45, 25, 30, 60],
"pvforecast3_inverter_paco": 1400,
"pvforecast4_peakpower": None,
"prediction": {
"prediction_hours": 48,
"prediction_historic_hours": 24,
"latitude": 52.52,
"longitude": 13.405,
},
"pvforecast": {
"pvforecast_provider": "PVForecastAkkudoktor",
"pvforecast0_peakpower": 5.0,
"pvforecast0_surface_azimuth": -10,
"pvforecast0_surface_tilt": 7,
"pvforecast0_userhorizon": [20, 27, 22, 20],
"pvforecast0_inverter_paco": 10000,
"pvforecast1_peakpower": 4.8,
"pvforecast1_surface_azimuth": -90,
"pvforecast1_surface_tilt": 7,
"pvforecast1_userhorizon": [30, 30, 30, 50],
"pvforecast1_inverter_paco": 10000,
"pvforecast2_peakpower": 1.4,
"pvforecast2_surface_azimuth": -40,
"pvforecast2_surface_tilt": 60,
"pvforecast2_userhorizon": [60, 30, 0, 30],
"pvforecast2_inverter_paco": 2000,
"pvforecast3_peakpower": 1.6,
"pvforecast3_surface_azimuth": 5,
"pvforecast3_surface_tilt": 45,
"pvforecast3_userhorizon": [45, 25, 30, 60],
"pvforecast3_inverter_paco": 1400,
"pvforecast4_peakpower": None,
},
}
return settings
@@ -49,10 +53,13 @@ def config_pvforecast() -> dict:
def config_weather() -> dict:
"""Configure settings for weather forecast."""
settings = {
"prediction_hours": 48,
"prediction_historic_hours": 24,
"latitude": 52.52,
"longitude": 13.405,
"prediction": {
"prediction_hours": 48,
"prediction_historic_hours": 24,
"latitude": 52.52,
"longitude": 13.405,
},
"weather": dict(),
}
return settings
@@ -60,10 +67,13 @@ def config_weather() -> dict:
def config_elecprice() -> dict:
"""Configure settings for electricity price forecast."""
settings = {
"prediction_hours": 48,
"prediction_historic_hours": 24,
"latitude": 52.52,
"longitude": 13.405,
"prediction": {
"prediction_hours": 48,
"prediction_historic_hours": 24,
"latitude": 52.52,
"longitude": 13.405,
},
"elecprice": dict(),
}
return settings
@@ -71,10 +81,12 @@ def config_elecprice() -> dict:
def config_load() -> dict:
"""Configure settings for load forecast."""
settings = {
"prediction_hours": 48,
"prediction_historic_hours": 24,
"latitude": 52.52,
"longitude": 13.405,
"prediction": {
"prediction_hours": 48,
"prediction_historic_hours": 24,
"latitude": 52.52,
"longitude": 13.405,
}
}
return settings
@@ -96,17 +108,17 @@ def run_prediction(provider_id: str, verbose: bool = False) -> str:
print(f"\nProvider ID: {provider_id}")
if provider_id in ("PVForecastAkkudoktor",):
settings = config_pvforecast()
settings["pvforecast_provider"] = provider_id
settings["pvforecast"]["pvforecast_provider"] = provider_id
elif provider_id in ("BrightSky", "ClearOutside"):
settings = config_weather()
settings["weather_provider"] = provider_id
settings["weather"]["weather_provider"] = provider_id
elif provider_id in ("ElecPriceAkkudoktor",):
settings = config_elecprice()
settings["elecprice_provider"] = provider_id
settings["elecprice"]["elecprice_provider"] = provider_id
elif provider_id in ("LoadAkkudoktor",):
settings = config_elecprice()
settings["loadakkudoktor_year_energy"] = 1000
settings["load_provider"] = provider_id
settings["load"]["loadakkudoktor_year_energy"] = 1000
settings["load"]["load_provider"] = provider_id
else:
raise ValueError(f"Unknown provider '{provider_id}'.")
config_eos.merge_settings_from_dict(settings)