mirror of
https://github.com/Akkudoktor-EOS/EOS.git
synced 2025-04-19 08:55:15 +00:00
84 lines
2.9 KiB
Python
84 lines
2.9 KiB
Python
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
|
|
|
|
|
|
def get_forecast_for_date(self, input_date_str):
|
|
input_date = datetime.strptime(input_date_str, "%Y-%m-%d")
|
|
daily_forecast_obj = [data for data in self.forecast_data if datetime.strptime(data.get_date_time(), "%Y-%m-%dT%H:%M:%S.%f%z").date() == input_date.date()]
|
|
daily_forecast = []
|
|
for d in daily_forecast_obj:
|
|
daily_forecast.append(d.get_ac_power())
|
|
|
|
return np.array(daily_forecast)
|
|
|
|
def get_temperature_forecast_for_date(self, input_date_str):
|
|
input_date = datetime.strptime(input_date_str, "%Y-%m-%d")
|
|
daily_forecast_obj = [data for data in self.forecast_data if datetime.strptime(data.get_date_time(), "%Y-%m-%dT%H:%M:%S.%f%z").date() == input_date.date()]
|
|
daily_forecast = []
|
|
for d in daily_forecast_obj:
|
|
daily_forecast.append(d.get_temperature())
|
|
|
|
return np.array(daily_forecast)
|
|
|
|
|
|
|
|
|
|
# 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())
|