Fetch public data and upload to a cloud storage

fetch_data_upload_to_gcs

from flask import jsonify
from geopy.geocoders import Nominatim
import requests
from google.cloud import storage
import json

storage_client = storage.Client(project='your-project-id') #replace with your projectID from Home

def weather(request):
    data = {"success": False}
    #https://pypi.org/project/geopy/
    geolocator = Nominatim(user_agent="mlops-jsj")
    # params = request.get_json()
    for i in ["Orlando", "Chicago", "Texas"]:
        location = geolocator.geocode(i)
        # https://www.weather.gov/documentation/services-web-api
        # Example query: https://api.weather.gov/points/39.7456,-97.0892
        result1 = requests.get(f"https://api.weather.gov/points/{location.latitude},{location.longitude}")
        # Example query: https://api.weather.gov/gridpoints/TOP/31,80
        result2 = requests.get(f"{result1.json()['properties']['forecast']}")
        data["response"] = result2.json()
        data["success"] = True
        bucket_name = 'weather_jsj_test2022'
        # delete_bucket(bucket_name) - can be called if needed
        # create_bucket(bucket_name) - called once for creation
        local_data = json.dumps(data["response"])
        file_name = 'data'+str(i)
        upload_blob(bucket_name, local_data, file_name)
        print('Data inside of',bucket_name,':')
    return list_blobs(bucket_name)