73 lines
1.7 KiB
Python
73 lines
1.7 KiB
Python
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"""
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Present observational weather data to Prometheus
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"""
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import json
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import time
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import os
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import requests
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from flask import Flask, Response
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app = Flask(__name__)
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def fetch_metoffice_data(location: int, apikey: str) -> dict:
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"""
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Fetch current data from the Met Office for the provided postcode
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"""
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obs_data = requests.get(
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f'http://datapoint.metoffice.gov.uk/public/data/val/wxobs/all/json/{location}?'
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f'key={apikey}&'
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'res=hourly'
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)
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return json.loads(obs_data.content)
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@app.route('/metrics')
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def metrics():
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"""
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Output Prometheus-style metrics
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"""
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metoff_apikey = os.environ.get('METOFF_APIKEY')
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metoff_location = os.environ.get('METOFF_LOCATION')
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hour_data = fetch_metoffice_data(metoff_location, metoff_apikey,)['SiteRep']['DV'][
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'Location'
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]['Period'][-1]['Rep'][time.gmtime().tm_hour]
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ret_data = [
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{
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'key': 'sensor_weather_outdoor_temperature_celcius',
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'labels': {
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'location': metoff_location,
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},
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'type': 'gauge',
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'value': float(hour_data['T']),
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},
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{
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'key': 'sensor_weather_outdoor_humidity_percent',
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'labels': {
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'location': metoff_location,
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},
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'type': 'gauge',
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'value': float(hour_data['H']),
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},
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]
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ret_str = ''
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for item in ret_data:
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ret_str += f'# TYPE {item["key"]} {item["type"]}\r\n'
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ret_str += f'{item["key"]} {item["value"]}\r\n'
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resp = Response(ret_str)
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resp.headers['Content-type'] = 'text/plain'
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return resp
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if __name__ == '__main__':
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app.run(host='0.0.0.0')
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