Navigating the Cloud: A Journey into Weather Reporting with Python, Twitter API, and Google Cloud 

Quick Links:
Github
Twitter Bot Account

The Spark of Curiosity:

Living in Nagpur, where weather can be as unpredictable as a plot twist in a mystery novel, I pondered on the idea of having a daily weather update delivered straight to my Twitter feed. With a background in Python, the allure of APIs, and a budding interest in cloud computing, I decided to turn this seemingly simple idea into a learning adventure. 

Next up was the OpenWeather API, a treasure trove of weather data waiting to be unlocked. With a few clicks, I had access to a vast array of weather information, perfect for keeping my fellow Nagpurians informed. 

import requests

import json

from requests_oauthlib import OAuth1

from config import twitter_api_keys, openweather_api_key

from flask import Flask, request

app = Flask(__name__)

# Set up OAuth1 authentication

auth = OAuth1(

    twitter_api_keys["consumer_key"],

    twitter_api_keys["consumer_secret"],

    twitter_api_keys["access_token"],

    twitter_api_keys["access_token_secret"]

)

# Set up API endpoint and headers

url = "https://api.twitter.com/2/tweets"

headers = {"User-Agent": "v2FilteredStreamPython", "Content-Type": "application/json", "Accept-Encoding": "gzip"}

# Set up request data

city = "Nagpur"  # Change this to the desired city

forecast_url = f"https://api.openweathermap.org/data/2.5/forecast?q={city}&appid={openweather_api_key}"

response = requests.get(forecast_url)

forecast_data = response.json()

# Extract relevant weather information

temperature = round(forecast_data["list"][0]["main"]["temp"] - 273.15, 1)

feels_like = round(forecast_data["list"][0]["main"]["feels_like"] - 273.15, 1)

description = forecast_data["list"][0]["weather"][0]["description"]

icon = forecast_data["list"][0]["weather"][0]["icon"]

rain_chance = forecast_data["list"][0]["pop"] * 100

population = round(forecast_data["city"]["population"])

formatted_population = "{:,}".format(population)

# Map weather icons to emoji characters

emoji_mapping = {

    "01d": "☀️",  # Clear sky (day)

    "01n": "🌙",  # Clear sky (night)

    "02d": "⛅",  # Few clouds (day)

    "02n": "🌥️",  # Few clouds (night)

    "03d": "☁️",  # Scattered clouds (day)

    "03n": "☁️",  # Scattered clouds (night)

    "04d": "☁️",  # Broken clouds (day)

    "04n": "☁️",  # Broken clouds (night)

    "09d": "🌧️",  # Shower rain (day)

    "09n": "🌧️",  # Shower rain (night)

    "10d": "🌦️",  # Rain (day)

    "10n": "🌧️",  # Rain (night)

    "11d": "⛈️",  # Thunderstorm (day)

    "11n": "⛈️",  # Thunderstorm (night)

    "13d": "❄️",  # Snow (day)

    "13n": "❄️",  # Snow (night)

    "50d": "🌫️",  # Mist (day)

    "50n": "🌫️",  # Mist (night)

}

emoji = emoji_mapping.get(icon, "🤔")  # Default emoji if icon is not found in the mapping

data = {

    "text": f"Good morning Nagpur!\nCurrent temperature is {temperature}°C, and it feels like {feels_like}°C.\nIt will (be) {description} {emoji} most of the day with chances of rain being {rain_chance}%\nToday's population: {formatted_population}"

}

# Send POST request to create a new tweet

@app.route('/')

def my_tweet(request):

    response = requests.post(url, headers=headers, data=json.dumps(data), auth=auth)

    # Print response information

    print("Response status code:", response.status_code)

    print("Response JSON:", response.json())

    return "Tweet sent successfully!"

if __name__ == '__main__':

    app.run(debug=True)