Move from Met Office to weatherapi.com

README.md

@@ -0,0 +1,4 @@
+# Weather Exporter
+Pulls weather data from weatherapi.com and provides it in Prometheus-style exporter format over HTTP.
+
+Used to monitor weather conditions over time.

docker-compose.yaml

@@ -0,0 +1,10 @@
+---
+version: '3.7'
+services:
+  weather-exporter:
+    image: weather-exporter:latest
+    container_name: weather-exporter
+    environment:
+      - WEATHER_LOCATION=<Location search string>
+      - WEATHER_APIKEY=<weatherapi.com API key>
+    restart: unless-stopped

main.py

@@ -12,15 +12,16 @@ from flask import Flask, Response
 app = Flask(__name__)
 
 
-def fetch_metoffice_data(location: int, apikey: str) -> dict:
+def fetch_weather_data(location: int, apikey: str) -> dict:
     """
     Fetch current data from the Met Office for the provided postcode
     """
 
     obs_data = requests.get(
-        f'http://datapoint.metoffice.gov.uk/public/data/val/wxobs/all/json/{location}?'
+        f'http://api.weatherapi.com/v1/current.json?'
         f'key={apikey}&'
-        'res=hourly'
+        f'q={location}&'
+        f'aqi=yes'
     )
 
     return json.loads(obs_data.content)
@@ -31,29 +32,27 @@ def metrics():
     """
     Output Prometheus-style metrics
     """
-    metoff_apikey = os.environ.get('METOFF_APIKEY')
-    metoff_location = os.environ.get('METOFF_LOCATION')
+    apikey = os.environ.get('WEATHER_APIKEY')
+    location = os.environ.get('WEATHER_LOCATION')
 
-    hour_data = fetch_metoffice_data(metoff_location, metoff_apikey,)['SiteRep']['DV'][
-        'Location'
-    ]['Period'][-1]['Rep'][time.gmtime().tm_hour]
+    latest_data = fetch_weather_data(location, apikey)['current']
 
     ret_data = [
         {
             'key': 'sensor_weather_outdoor_temperature_celsius',
             'labels': {
-                'location': metoff_location,
+                'location': location,
             },
             'type': 'gauge',
-            'value': float(hour_data['T']),
+            'value': float(latest_data['temp_c']),
         },
         {
             'key': 'sensor_weather_outdoor_humidity_percent',
             'labels': {
-                'location': metoff_location,
+                'location': location,
             },
             'type': 'gauge',
-            'value': float(hour_data['H']),
+            'value': float(latest_data['humidity']),
         },
     ]