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Add Documentation 2 (#334)

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Add documentation that covers:

- configuration
- prediction

Add Python scripts that support automatic documentation generation for
configuration data defined with pydantic.

Adapt EOS configuration to provide more methods for REST API and
automatic documentation generation.

Adapt REST API to allow for EOS configuration file load and save.
Sort REST API on generation of openapi markdown for docs.

Move logutil to core/logging to allow configuration of logging by standard config.

Make Akkudoktor predictions always start extraction of prediction data at start of day.
Previously extraction started at actual hour. This is to support the code that assumes
prediction data to start at start of day.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
This commit is contained in:
Bobby Noelte
2025-01-05 14:41:07 +01:00
committed by GitHub
parent 03ec729e50
commit d4e31d556a
52 changed files with 4517 additions and 462 deletions
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26
src/akkudoktoreos/prediction/pvforecastakkudoktor.py
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@@ -68,6 +68,7 @@ from typing import Any, List, Optional, Union
import requests
from pydantic import Field, ValidationError, computed_field
from akkudoktoreos.core.logging import get_logger
from akkudoktoreos.core.pydantic import PydanticBaseModel
from akkudoktoreos.prediction.pvforecastabc import (
PVForecastDataRecord,
@@ -75,7 +76,6 @@ from akkudoktoreos.prediction.pvforecastabc import (
)
from akkudoktoreos.utils.cacheutil import cache_in_file
from akkudoktoreos.utils.datetimeutil import compare_datetimes, to_datetime
from akkudoktoreos.utils.logutil import get_logger
logger = get_logger(__name__)
@@ -283,27 +283,21 @@ class PVForecastAkkudoktor(PVForecastProvider):
original_datetime = akkudoktor_data.values[0][i].datetime
dt = to_datetime(original_datetime, in_timezone=self.config.timezone)
# iso_datetime = parser.parse(original_datetime).isoformat() # Konvertiere zu ISO-Format
# print()
# Optional: 2 Stunden abziehen, um die Zeitanpassung zu testen
# adjusted_datetime = parser.parse(original_datetime) - timedelta(hours=2)
# print(f"Angepasste Zeitstempel: {adjusted_datetime.isoformat()}")
if compare_datetimes(dt, self.start_datetime).lt:
# We provide prediction starting at start of day, to be compatible to old system.
if compare_datetimes(dt, self.start_datetime.start_of("day")).lt:
# forecast data is too old
continue
sum_dc_power = sum(values[i].dcPower for values in akkudoktor_data.values)
sum_ac_power = sum(values[i].power for values in akkudoktor_data.values)
record = PVForecastAkkudoktorDataRecord(
date_time=dt, # Verwende angepassten Zeitstempel
pvforecast_dc_power=sum_dc_power,
pvforecast_ac_power=sum_ac_power,
pvforecastakkudoktor_wind_speed_10m=akkudoktor_data.values[0][i].windspeed_10m,
pvforecastakkudoktor_temp_air=akkudoktor_data.values[0][i].temperature,
)
self.append(record)
data = {
"pvforecast_dc_power": sum_dc_power,
"pvforecast_ac_power": sum_ac_power,
"pvforecastakkudoktor_wind_speed_10m": akkudoktor_data.values[0][i].windspeed_10m,
"pvforecastakkudoktor_temp_air": akkudoktor_data.values[0][i].temperature,
}
self.update_value(dt, data)
if len(self) < self.config.prediction_hours:
raise ValueError(