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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) |