forked from rarias/jungle
Rodrigo Arias Mallo
dd15f9c943
These sensors are part of their air quality measurements, which just happen to be very close to our server room. Reviewed-by: Aleix Boné <abonerib@bsc.es>
75 lines
1.9 KiB
Python
75 lines
1.9 KiB
Python
#!/usr/bin/env python3
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import time
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from prometheus_client import start_http_server, Gauge
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import requests, json
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from datetime import datetime, timedelta
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# Configuration -------------------------------------------
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listening_port = 9928
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update_period = 60 * 5 # Each 5 min
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# ---------------------------------------------------------
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metric_temp = Gauge('upc_c6_s302_temp', 'UPC C6 S302 temperature sensor')
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def genparams():
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d = {}
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d['topic'] = 'TEMPERATURE'
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d['shift_dates_to'] = ''
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d['datapoints'] = 301
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d['devicesAndColors'] = '1148418@@@#40ACB6'
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now = datetime.now()
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d['fromDate'] = now.strftime('%d/%m/%Y')
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d['toDate'] = now.strftime('%d/%m/%Y')
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d['serviceFrequency'] = 'NONE'
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# WTF!
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for i in range(7):
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for j in range(48):
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key = 'week.days[{}].hours[{}].value'.format(i, j)
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d[key] = 'OPEN'
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return d
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def measure():
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# First we need to load session
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s = requests.Session()
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r = s.get("https://upc.edu/sirena")
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if r.status_code != 200:
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print("bad HTTP status code on new session: {}".format(r.status_code))
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return
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if s.cookies.get("JSESSIONID") is None:
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print("cannot get JSESSIONID")
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return
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# Now we can pull the data
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url = "https://upcsirena.app.dexma.com/l_12535/analysis/by_datapoints/data.json"
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r = s.post(url, data=genparams())
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if r.status_code != 200:
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print("bad HTTP status code on data: {}".format(r.status_code))
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return
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#print(r.text)
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j = json.loads(r.content)
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# Just take the last one
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last = j['data']['chartElementList'][-1]
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temp = last['values']['1148418-Temperatura']
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return temp
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if __name__ == '__main__':
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start_http_server(port=listening_port, addr="localhost")
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while True:
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try:
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metric_temp.set(measure())
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except:
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print("measure failed")
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metric_temp.set(float("nan"))
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time.sleep(update_period)
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