Initialer Commit

modules/class_pv_forecast.py

@@ -0,0 +1,63 @@
+from flask import Flask, jsonify, request
+import numpy as np
+from datetime import datetime
+from pprint import pprint
+import json, sys
+
+class PVForecast:
+    class ForecastData:
+        def __init__(self, date_time, dc_power, ac_power, windspeed_10m, temperature):
+            self.date_time = date_time
+            self.dc_power = dc_power
+            self.ac_power = ac_power
+            self.windspeed_10m = windspeed_10m
+            self.temperature = temperature
+
+        # Getter für die ForecastData-Attribute
+        def get_date_time(self):
+            return self.date_time
+
+        def get_dc_power(self):
+            return self.dc_power
+
+        def get_ac_power(self):
+            return self.ac_power
+
+        def get_windspeed_10m(self):
+            return self.windspeed_10m
+
+        def get_temperature(self):
+            return self.temperature
+
+    def __init__(self, filepath):
+        self.filepath = filepath
+        self.meta = {}
+        self.forecast_data = []
+        self.load_data()
+
+    def load_data(self):
+        with open(self.filepath, 'r') as file:
+            data = json.load(file)
+            self.meta = data.get('meta', {})
+            values = data.get('values', [])[0]
+            for value in values:
+                # Erstelle eine ForecastData-Instanz für jeden Wert in der Liste
+                forecast = self.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 get_forecast_data(self):
+        return self.forecast_data
+
+
+
+# Beispiel für die Verwendung der Klasse
+if __name__ == '__main__':
+    forecast = PVForecast(r'..\test_data\pvprognose.json')
+    for data in forecast.get_forecast_data():
+        print(data.get_date_time(), data.get_dc_power(), data.get_ac_power(), data.get_windspeed_10m(), data.get_temperature())