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import requests |
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import datetime |
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def fetch_data( |
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lookback, |
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span = 24, |
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offset = 3, |
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url = "https://visual-crossing-weather.p.rapidapi.com/history", |
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headers = { |
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"X-RapidAPI-Key": "12c5552beamshb548b266489323cp1c7cb2jsnf8b18027cebc", |
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"X-RapidAPI-Host": "visual-crossing-weather.p.rapidapi.com" |
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} |
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): |
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end_datetime = datetime.datetime.now() - datetime.timedelta(hours=lookback) |
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start_datetime = end_datetime - datetime.timedelta(hours=(span+offset)) |
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querystring = { |
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"startDateTime": start_datetime.strftime("%Y-%m-%dT%H:%M:%S"), |
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"aggregateHours": "1", |
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"location": "Kolkata", |
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"endDateTime": end_datetime.strftime("%Y-%m-%dT%H:%M:%S"), |
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"unitGroup": "us", |
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"dayStartTime": "00:00:00", |
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"contentType": "csv", |
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"dayEndTime": "23:59:00", |
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"shortColumnNames": "0" |
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} |
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response = requests.get(url, headers=headers, params=querystring) |
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if response.status_code == 200: |
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return response |
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else: |
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print("Error:", response.status_code) |
