80 lines
1.9 KiB
Python
80 lines
1.9 KiB
Python
"""
|
|
Present observational weather data to Prometheus
|
|
"""
|
|
|
|
import json
|
|
import os
|
|
from typing import Dict, List
|
|
|
|
import requests # type: ignore
|
|
from flask import Flask, Response # type: ignore
|
|
|
|
app = Flask(__name__)
|
|
|
|
|
|
def fetch_carbon_data(postcode: str) -> Dict:
|
|
"""
|
|
Fetch current data for the carbon intensity of the provided region
|
|
"""
|
|
|
|
obs_data = requests.get(
|
|
f'https://api.carbonintensity.org.uk/regional/postcode/{postcode}'
|
|
)
|
|
|
|
return json.loads(obs_data.content)
|
|
|
|
|
|
@app.route('/metrics')
|
|
def metrics():
|
|
"""
|
|
Output Prometheus-style metrics
|
|
"""
|
|
postcode = os.environ.get('CARBON_POSTCODE')
|
|
|
|
latest_data = fetch_carbon_data(postcode)['data'][0]
|
|
|
|
ret_data: List = list()
|
|
for generation in latest_data['data'][0]['generationmix']:
|
|
ret_data.append(
|
|
{
|
|
'key': f'sensor_carbon_generation_{generation["fuel"]}_perc',
|
|
'labels': {
|
|
'region': latest_data['dnoregion'],
|
|
},
|
|
'type': 'gauge',
|
|
'value': float(generation['perc'])
|
|
}
|
|
)
|
|
|
|
ret_data.append(
|
|
{
|
|
'key': 'sensor_carbon_intensity_forecast',
|
|
'labels': {
|
|
'region': latest_data['dnoregion'],
|
|
},
|
|
'type': 'gauge',
|
|
'value': float(latest_data['data'][0]['intensity']['forecast']),
|
|
}
|
|
)
|
|
|
|
ret_strs = list()
|
|
for item in ret_data:
|
|
ret_strs.append(f'# HELP {item["key"]} Carbon metric')
|
|
ret_strs.append(f'# TYPE {item["key"]} {item["type"]}')
|
|
ret_strs.append(
|
|
item["key"]
|
|
+ '{'
|
|
+ " ".join([f'{key}="{val}"' for key, val in item["labels"].items()])
|
|
+ '} '
|
|
+ str(item["value"])
|
|
)
|
|
|
|
resp = Response('\n'.join(ret_strs))
|
|
resp.headers['Content-type'] = 'text/plain'
|
|
|
|
return resp
|
|
|
|
|
|
if __name__ == '__main__':
|
|
app.run(host='0.0.0.0')
|