E-Auto integriert und visualisiert

modules/class_strompreis.py

@@ -6,11 +6,12 @@ from datetime import datetime
 import hashlib, requests
 
 class HourlyElectricityPriceForecast:
-    def __init__(self, source, cache_dir='cache'):
+    def __init__(self, source, cache_dir='cache', abgaben=0.00019):
         self.cache_dir = cache_dir
         if not os.path.exists(self.cache_dir):
             os.makedirs(self.cache_dir)
         self.prices = self.load_data(source)
+        self.abgaben = abgaben
     
     def load_data(self, source):
         if source.startswith('http'):
@@ -42,8 +43,8 @@ class HourlyElectricityPriceForecast:
     
     def get_price_for_date(self, date_str):
         """Gibt alle Preise für das spezifizierte Datum zurück."""
-        date_prices = [entry["marketpriceEurocentPerKWh"] for entry in self.prices if date_str in entry['end']]
-        return np.array(date_prices)/(1000.0*100.0)
+        date_prices = [entry["marketpriceEurocentPerKWh"]+self.abgaben for entry in self.prices if date_str in entry['end']]
+        return np.array(date_prices)/(1000.0*100.0) + self.abgaben
     
     def get_price_for_daterange(self, start_date_str, end_date_str):
         """Gibt alle Preise zwischen dem Start- und Enddatum zurück."""
@@ -61,107 +62,3 @@ class HourlyElectricityPriceForecast:
         
         return np.array(price_list)
 
-
-
-    
-    # def get_price_for_hour(self, datetime_str):
-        # """Gibt den Preis für die spezifizierte Stunde zurück."""
-        # hour_price = [entry for entry in self.prices if datetime_str in entry['start']]
-        # return hour_price[0] if hour_price else None
-
-# # Beispiel zur Verwendung der Klasse
-# filepath = '/mnt/data/strompreise_akkudokAPI.json'  # Pfad zur JSON-Datei
-# strompreise = Strompreise(filepath)
-
-# # Preise für ein spezifisches Datum erhalten
-# date_str = '2024-02-25'
-# prices_for_date = strompreise.get_price_for_date(date_str)
-# print(f"Preise für {date_str}: {prices_for_date}")
-
-# # Preis für eine spezifische Stunde erhalten
-# datetime_str = '2024-02-25T15:00:00.000Z'
-# price_for_hour = strompreise.get_price_for_hour(datetime_str)
-# print(f"Preis für {datetime_str}: {price_for_hour}")
-
-
-
-
-
-# class HourlyElectricityPriceForecast:
-    # class PriceData:
-        # def __init__(self, total, energy, tax, starts_at, currency, level):
-            # self.total = total/1000.0
-            # self.energy = energy/1000.0
-            # self.tax = tax/1000.0
-            # self.starts_at = datetime.strptime(starts_at, '%Y-%m-%dT%H:%M:%S.%f%z')
-
-            # self.currency = currency
-            # self.level = level
-
-        # # Getter-Methoden
-        # def get_total(self):
-            # return self.total
-
-        # def get_energy(self):
-            # return self.energy
-
-        # def get_tax(self):
-            # return self.tax
-
-        # def get_starts_at(self):
-            # return self.starts_at
-
-        # def get_currency(self):
-            # return self.currency
-
-        # def get_level(self):
-            # return self.level
-
-    # def __init__(self, filepath):
-        # self.filepath = filepath
-        # self.price_data = []
-        # self.load_data()
-
-    # def get_prices_for_date(self, query_date):
-        # query_date = datetime.strptime(query_date, '%Y-%m-%d').date()
-        # prices_for_date = [price.get_total() for price in self.price_data if price.starts_at.date() == query_date]
-        
-        # return np.array(prices_for_date)
-
-    # def get_price_for_datetime(self, query_datetime):
-        # query_datetime = datetime.strptime(query_datetime, '%Y-%m-%d %H').replace(minute=0, second=0, microsecond=0)
-        # query_datetime = query_datetime.replace(tzinfo=timezone(timedelta(hours=1)))
-
-        # for price in self.price_data:
-            # #print(price.starts_at.replace(minute=0, second=0, microsecond=0) , "  ", query_datetime, " == ",price.starts_at.replace(minute=0, second=0, microsecond=0) == query_datetime)
-            # if price.starts_at.replace(minute=0, second=0, microsecond=0) == query_datetime:
-                # return np.array(price)
-        # return None
-
-
-    # def load_data(self):
-        # with open(self.filepath, 'r') as file:
-            # data = json.load(file)
-            # for item in data['payload']:
-                # self.price_data.append(self.PriceData(
-                    # total=item['total'],
-                    # energy=item['energy'],
-                    # tax=item['tax'],
-                    # starts_at=item['startsAt'],
-                    # currency=item['currency'],
-                    # level=item['level']
-                # ))
-
-    # def get_price_data(self):
-        # return self.price_data
-
-# # Beispiel für die Verwendung der Klasse
-# if __name__ == '__main__':
-    # filepath = r'..\test_data\strompreis.json'  # Pfad zur JSON-Datei anpassen
-    # price_forecast = HourlyElectricityPriceForecast(filepath)
-    # specific_date_prices = price_forecast.get_prices_for_date('2024-02-16')  # Datum anpassen
-    
-    # specific_date_prices = price_forecast.get_price_for_datetime('2024-02-16 12')
-    # print(specific_date_prices)
-    # #for price in price_forecast.get_price_data():
-    # #    print(price.get_starts_at(), price.get_total(), price.get_currency())