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Wärmepumpen Klasse für meine WP erzeugt (Achtung Standard)

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PV Prognose aufsummieren der Strings eingebaut
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Bla Bla
2024-03-08 14:22:11 +01:00
parent 8e7308ff8a
commit 2c0e355845
4 changed files with 164 additions and 44 deletions
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35
modules/class_pv_forecast.py
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@@ -52,16 +52,35 @@ class PVForecast:
def process_data(self, data):
self.meta = data.get('meta', {})
values = data.get('values', [])[0]
for value in values:
all_values = data.get('values', [])
# Berechnung der Summe der DC- und AC-Leistungen für jeden Zeitstempel
for i in range(len(all_values[0])): # Annahme, dass alle Listen gleich lang sind
sum_dc_power = sum(values[i]['dcPower'] for values in all_values)
sum_ac_power = sum(values[i]['power'] for values in all_values)
# Erstellen eines ForecastData-Objekts mit den summierten Werten
forecast = ForecastData(
date_time=value.get('datetime'),
dc_power=value.get('dcPower'),
ac_power=value.get('power'),
windspeed_10m=value.get('windspeed_10m'),
temperature=value.get('temperature')
date_time=all_values[0][i].get('datetime'),
dc_power=sum_dc_power,
ac_power=sum_ac_power,
# Optional: Weitere Werte wie Windspeed und Temperature, falls benötigt
windspeed_10m=all_values[0][i].get('windspeed_10m'),
temperature=all_values[0][i].get('temperature')
)
self.forecast_data.append(forecast)
self.forecast_data.append(forecast)
# values = data.get('values', [])[0]
# for value in values:
# forecast = ForecastData(
# date_time=value.get('datetime'),
# dc_power=value.get('dcPower'),
# ac_power=value.get('power'),
# windspeed_10m=value.get('windspeed_10m'),
# temperature=value.get('temperature')
# )
# self.forecast_data.append(forecast)
def load_data_from_file(self, filepath):
with open(filepath, 'r') as file: