weather api working -> 2025-01-27 17:49:29

weather/weather.py

@@ -0,0 +1,148 @@
+#!/usr/bin python3
+# -*- coding: utf-8 -*-
+"""
+This part of the code exposes functions to fetch data from the open-meteo.com API.
+The bellow code is the generated by the https://open-meteo.com/en/docs itself.
+It has been slighly modified to return a dictionary with all the information nedeed.
+"""
+
+import openmeteo_requests
+
+import requests_cache
+#import pandas as pd
+from retry_requests import retry
+
+
+class WeatherHelper:
+
+    def __init__(self, latitude: float, longitude: float, timezone: str):
+        self.latitude = latitude
+        self.longitude = longitude
+        self.timezone = timezone
+        
+    def fetch_open_meteo_data(self) -> dict:
+
+        # Setup the Open-Meteo API client with cache and retry on error
+        cache_session = requests_cache.CachedSession('.cache', expire_after = 3600)
+        retry_session = retry(cache_session, retries = 5, backoff_factor = 0.2)
+        openmeteo = openmeteo_requests.Client(session = retry_session)
+
+        # Make sure all required weather variables are listed here
+        # The order of variables in hourly or daily is important to assign them correctly below
+        url = "https://api.open-meteo.com/v1/forecast"
+        params = {
+            "latitude": self.latitude,
+            "longitude": self.longitude,
+            "current": ["temperature_2m", "is_day", "weather_code"],
+            "daily": ["weather_code", "temperature_2m_max", "temperature_2m_min"],
+            "timezone": self.timezone,
+            "forecast_days": 3
+        }
+        responses = openmeteo.weather_api(url, params=params)
+
+        # Process first location. Add a for-loop for multiple locations or weather models
+        response = responses[0]
+        #print(f"Coordinates {response.Latitude()}°N {response.Longitude()}°E")
+        #print(f"Elevation {response.Elevation()} m asl")
+        #print(f"Timezone {response.Timezone()} {response.TimezoneAbbreviation()}")
+        #print(f"Timezone difference to GMT+0 {response.UtcOffsetSeconds()} s")
+
+
+        # Current values. The order of variables needs to be the same as requested.
+        current = response.Current()
+
+        current_temperature_2m = current.Variables(0).Value()
+
+        current_is_day = current.Variables(1).Value()
+
+        current_weather_code = current.Variables(2).Value()
+
+        #print(f"Current time {current.Time()}")
+
+        #print(f"Current temperature_2m {current_temperature_2m}")
+        #print(f"Current is_day {current_is_day}")
+        #print(f"Current weather_code {current_weather_code}")
+        # Process daily data. The order of variables needs to be the same as requested.
+        daily = response.Daily()
+        daily_weather_code = daily.Variables(0).ValuesAsNumpy()
+        daily_temperature_2m_max = daily.Variables(1).ValuesAsNumpy()
+        daily_temperature_2m_min = daily.Variables(2).ValuesAsNumpy()
+
+        #daily_data = {"date": pd.date_range(
+        #	start = pd.to_datetime(daily.Time(), unit = "s", utc = True),
+        #	end = pd.to_datetime(daily.TimeEnd(), unit = "s", utc = True),
+        #	freq = pd.Timedelta(seconds = daily.Interval()),
+        #	inclusive = "left"
+        #)}
+
+        #daily_data["weather_code"] = daily_weather_code
+        #daily_data["temperature_2m_max"] = daily_temperature_2m_max
+        #daily_data["temperature_2m_min"] = daily_temperature_2m_min
+
+        #daily_dataframe = pd.DataFrame(data = daily_data)
+        #print(daily_dataframe)
+
+        # Here we are creating the dictionary that will be returned
+        weather_data = {}
+
+        weather_data['current_temperature_2m'] = int(current_temperature_2m)
+        weather_data['current_is_day'] =         int(current_is_day)
+        weather_data['current_weather_code'] =   int(current_weather_code)
+
+        weather_data['tomorrow_temperature_2m_max'] = int(daily_temperature_2m_max[1])
+        weather_data['tomorrow_temperature_2m_min'] = int(daily_temperature_2m_min[1])
+        weather_data['tomorrow_weather_code'] =       int(daily_weather_code[1])
+
+        weather_data['day_after_temperature_2m_max'] = int(daily_temperature_2m_max[2])
+        weather_data['day_after_temperature_2m_min'] = int(daily_temperature_2m_min[2])
+        weather_data['day_after_weather_code'] =       int(daily_weather_code[2])
+
+        return weather_data
+    
+
+    def iconize_weather(self, weather_code: int) -> str:
+
+        # This are the WMO Weather interpretation codes (WW)
+        # More info in: https://open-meteo.com/en/docs at the end of the page.
+        # Here we only put the name of the icons, the path will be handle in main()
+
+        if weather_code >= 100:
+            weather_icon = "placeholder32.bmp"
+            return weather_icon
+        
+        if weather_code in [0]:
+            weather_icon = "sunny-icon32.bmp"
+        elif weather_code in [1, 2, 3]:
+            weather_icon = "None"
+        elif weather_code in [45, 48]:
+            weather_icon = "None"
+        elif weather_code in [51, 53, 55]:
+            weather_icon = "None"
+        elif weather_code in [56, 57]:
+            weather_icon = "None"
+        elif weather_code in [61, 63, 65]:
+            weather_icon = "None"
+        elif weather_code in [66, 67]:
+            weather_icon = "None"
+        elif weather_code in [71, 73, 75]:
+            weather_icon = "None"
+        elif weather_code in [77]:
+            weather_icon = "None"
+        elif weather_code in [80, 81, 82]:
+            weather_icon = "None"
+        elif weather_code in [85, 86]:
+            weather_icon = "None"
+        elif weather_code in [95]:
+            weather_icon = "None"
+        elif weather_code in [96, 99]:
+            weather_icon = "None"
+        else:
+            weather_icon = "None"
+        
+        # If there is no an icon for that code, search the next highest icon
+        if weather_icon == "None":
+            weather_icon = self.iconize_weather(weather_code + 1)
+        
+        return weather_icon
+           
+