46 lines
1.2 KiB
Python
46 lines
1.2 KiB
Python
import requests
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import json
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import os
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def scrape_traffic():
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r = requests.get('https://portal.opendata.dk/api/3/action/datastore_search?resource_id=b3eeb0ff-c8a8-4824-99d6-e0a3747c8b0d')
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night_avr = 3.38
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day_avr = None
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data = r.json()
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sum = 0
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len = 0
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for lel in data['result']['records']:
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sum += lel['vehicleCount']
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len += 1
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curr_avg = len / sum
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diff= day_avr - night_avr
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if curr_avg >= day_avr:
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return 0.0
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elif curr_avg <= night_avr:
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return 1.0
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res = 1 - curr_avg / diff
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assert(res < 1 and res > 0)
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return res
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def scrape_dmi_aarhus():
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r = requests.get('https://www.dmi.dk/NinJo2DmiDk/ninjo2dmidk?cmd=obj&wmo=06074')
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data = r.json()
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latest_time, aarhus_latest_temp = max(data['Temperature2m'].items(), key= lambda x : x[0])
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adak_r = requests.get('https://www.dmi.dk/NinJo2DmiDk/ninjo2dmidk?cmd=llj&id=5878818')
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adak_data = adak_r.json()
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adak_temp_latest = adak_data['timeserie'][0]['temp']
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if aarhus_latest_temp-5 < adak_temp_latest:
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return 1.0
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return 0.0
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#adak_latest_time, adak_latest_temp_aarhus = max(adak_timeserie.items(), key= lambda x : x[0])
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scrape_dmi_aarhus() |