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