fix meteo api

.gitignore

@@ -4,4 +4,5 @@
 .vscode/
 .venv/
 documents/
-APIs\__pycache__
+APIs/__pycache__
+weather_data.json

APIs/meteo.py

@@ -10,26 +10,7 @@ retry_session = retry(cache_session, retries=5, backoff_factor=0.2)
 openmeteo = openmeteo_requests.Client(session=retry_session)
 
 
-def get_info_meteo(latitude, longitude):
-    """Function that creates a Json file containing the weather data of the location
-    ARGS: 
-        latitude (Float) : latitude coordinate
-        longitude (Float): longitude coordinate
-
-    """
-    url = "https://api.open-meteo.com/v1/forecast"
-    params = {
-        "latitude": latitude,
-        "longitude": longitude,  # "cloud_cover_low", "cloud_cover_mid","cloud_cover_high"
-        "hourly": {"relative_humidity_2m", "soil_temperature_0cm", "soil_moisture_0_to_1cm", "cloud_cover"},
-        "daily": {"temperature_2m_max", "precipitation_sum", "wind_speed_10m_max", "sunshine_duration", "rain_sum"},
-        "past_days": 5,
-        "forecast_days": 7
-
-    }
-    responses = openmeteo.weather_api(url, params=params)
-    response = responses[0]
-
+def get_hourly_weather_data(response):
     # Hourly dataframe
 
     hourly = response.Hourly()
@@ -52,6 +33,8 @@ def get_info_meteo(latitude, longitude):
 
     hourly_dataframe = pd.DataFrame(data=hourly_data)
 
+    # print('hourly df', hourly_dataframe)
+
     hourly_dataframe = pd.DataFrame(data=hourly_data)
 
     # Average hourly data per day
@@ -74,10 +57,13 @@ def get_info_meteo(latitude, longitude):
     med_cloud_cover = tmp2.rename(
         columns={'cloud_cover_%': 'med_cloud_cover_%'})
 
+    return avg_hourly_dataframe, med_cloud_cover
+
+
+def get_daily_weather_data(response):
     # Daily dataframe
     daily = response.Daily()
     daily_temperature_2m_max = daily.Variables(0).ValuesAsNumpy()
-    print(daily_temperature_2m_max)
     daily_precipitation_sum = daily.Variables(1).ValuesAsNumpy()
     daily_wind_speed_10m_max = daily.Variables(2).ValuesAsNumpy()
     daily_sunshine_duration = daily.Variables(3).ValuesAsNumpy()
@@ -97,18 +83,51 @@ def get_info_meteo(latitude, longitude):
     daily_data["daily_rain_sum_mm"] = daily_rain_sum
 
     daily_dataframe = pd.DataFrame(data=daily_data)
+    # print('meteo_daily', daily_dataframe)
 
     daily_dataframe['day_date'] = daily_dataframe['date'].dt.strftime(
         '%Y-%m-%d')
 
+    return daily_dataframe
+
+
+def get_info_meteo(latitude, longitude):
+    """Function that creates a Json file containing the weather data of the location
+    ARGS: 
+        latitude (Float) : latitude coordinate
+        longitude (Float): longitude coordinate
+
+    """
+    url = "https://api.open-meteo.com/v1/forecast"
+    params = {
+        "latitude": latitude,
+        "longitude": longitude,  # "cloud_cover_low", "cloud_cover_mid","cloud_cover_high"
+        "hourly": ["relative_humidity_2m", "soil_temperature_0cm", "soil_moisture_0_to_1cm", "cloud_cover"],
+        "daily": ["temperature_2m_max", "precipitation_sum", "wind_speed_10m_max", "sunshine_duration", "rain_sum"],
+        "past_days": 5,
+        "forecast_days": 7
+
+    }
+    responses = openmeteo.weather_api(url, params=params)
+    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")
+
+    avg_hourly_dataframe, med_cloud_cover = get_hourly_weather_data(response)
+    daily_dataframe = get_daily_weather_data(response)
+
     total_df = pd.merge(daily_dataframe, avg_hourly_dataframe,
                         on="day_date", how="left")
-    total_df = pd.merge(total_df, med_cloud_cover, on="day_date", how="left")
+    total_df = pd.merge(total_df, med_cloud_cover,
+                        on="day_date", how="left")
 
     total_df['date'] = total_df['day_date']
     total_df = total_df.drop('day_date', axis=1)
 
-    total_df.to_json("weather_data.json", orient='columns')
+    # total_df.to_json("weather_data.json", orient='columns')
     return total_df