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This commit is contained in:
Chris
2024-10-10 15:00:32 +02:00
committed by Andreas
parent 5503b8876c
commit e65eb6b6dd
19 changed files with 101 additions and 286 deletions
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32
src/akkudoktoreos/class_pv_forecast.py
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@@ -69,9 +69,7 @@ class PVForecast:
f"Die Vorhersage muss mindestens {self.prediction_hours} Stunden umfassen, aber es wurden nur {len(self.forecast_data)} Stunden vorhergesagt."
)
def update_ac_power_measurement(
self, date_time=None, ac_power_measurement=None
) -> bool:
def update_ac_power_measurement(self, date_time=None, ac_power_measurement=None) -> bool:
found = False
input_date_hour = date_time.replace(minute=0, second=0, microsecond=0)
@@ -89,9 +87,7 @@ class PVForecast:
self.meta = data.get("meta", {})
all_values = data.get("values", [])
for i in range(
len(all_values[0])
): # Annahme, dass alle Listen gleich lang sind
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)
@@ -128,17 +124,13 @@ class PVForecast:
pprint(data)
self.process_data(data)
else:
print(
f"Failed to load data from {url}. Status Code: {response.status_code}"
)
print(f"Failed to load data from {url}. Status Code: {response.status_code}")
self.load_data_from_url(url)
def load_data_with_caching(self, url):
date = datetime.now().strftime("%Y-%m-%d")
cache_file = os.path.join(
self.cache_dir, self.generate_cache_filename(url, date)
)
cache_file = os.path.join(self.cache_dir, self.generate_cache_filename(url, date))
if os.path.exists(cache_file):
with open(cache_file, "r") as file:
data = json.load(file)
@@ -151,9 +143,7 @@ class PVForecast:
json.dump(data, file)
print("Data fetched from URL and cached.")
else:
print(
f"Failed to load data from {url}. Status Code: {response.status_code}"
)
print(f"Failed to load data from {url}. Status Code: {response.status_code}")
return
self.process_data(data)
@@ -183,16 +173,12 @@ class PVForecast:
date_range_forecast = []
for data in self.forecast_data:
data_date = (
data.get_date_time().date()
) # parser.parse(data.get_date_time()).date()
data_date = data.get_date_time().date() # parser.parse(data.get_date_time()).date()
if start_date <= data_date <= end_date:
date_range_forecast.append(data)
print(data.get_date_time(), " ", data.get_ac_power())
ac_power_forecast = np.array(
[data.get_ac_power() for data in date_range_forecast]
)
ac_power_forecast = np.array([data.get_ac_power() for data in date_range_forecast])
return np.array(ac_power_forecast)[: self.prediction_hours]
@@ -241,7 +227,5 @@ if __name__ == "__main__":
prediction_hours=24,
url="https://api.akkudoktor.net/forecast?lat=52.52&lon=13.405&power=5000&azimuth=-10&tilt=7&powerInvertor=10000&horizont=20,27,22,20&power=4800&azimuth=-90&tilt=7&powerInvertor=10000&horizont=30,30,30,50&power=1400&azimuth=-40&tilt=60&powerInvertor=2000&horizont=60,30,0,30&power=1600&azimuth=5&tilt=45&powerInvertor=1400&horizont=45,25,30,60&past_days=5&cellCoEff=-0.36&inverterEfficiency=0.8&albedo=0.25&timezone=Europe%2FBerlin&hourly=relativehumidity_2m%2Cwindspeed_10m",
)
forecast.update_ac_power_measurement(
date_time=datetime.now(), ac_power_measurement=1000
)
forecast.update_ac_power_measurement(date_time=datetime.now(), ac_power_measurement=1000)
forecast.print_ac_power_and_measurement()