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import requests
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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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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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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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data = r.json()
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results = data['result']['records']
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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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def scrape_dmi_aarhus():
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1
server/nightr/traffic_data_22_23.json
Normal file
1
server/nightr/traffic_data_22_23.json
Normal file
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