Weather Dashboard

A Python application that fetches weather data for multiple cities using the OpenWeather API and stores the data in AWS S3 buckets.

Features

• Fetches current weather data for specified cities
• Creates AWS S3 buckets for data storage
• Uploads weather data as JSON files to S3
• Processes and displays temperature, feels-like temperature, humidity, and weather conditions

Prerequisites

• Python 3.x
• AWS account with appropriate credentials
• OpenWeather API key

Required Libraries

import requests
import boto3
import dotenv
import os
import datetime
import json

Environment Variables

The following environment variables must be set in a .env file:

OPEN_WEATHER_API_KEY=your_openweather_api_key
AWS_BUCKET_NAME=your_bucket_name
AWS_SERVER_PUBLIC_KEY=your_aws_public_key
AWS_SERVER_SECRET_KEY=your_aws_secret_key

Class: WeatherDashboard

Methods

__init__()

Initializes the WeatherDashboard with API keys and AWS credentials.

get_weather(city)

Fetches weather data for a specified city.

Parameters:

• city (str): Name of the city to fetch weather data for

Returns:

• filename (str): Name of the file where weather data is saved

create_bucket()

Creates an S3 bucket using the specified bucket name.

Returns:

• str: Success or error message

upload_file(file)

Uploads a file to the S3 bucket.

Parameters:

• file (str): Path to the file to upload

Returns:

• str: Success or error message

Main Function

The main function:

1. Defines a list of cities
2. Creates a WeatherDashboard instance
3. Creates an S3 bucket
4. For each city:
   • Fetches weather data
   • Extracts and displays:
     • Temperature
     • Feels-like temperature
     • Humidity
     • Weather conditions
   • Uploads data to S3

Usage

if __name__ == "__main__":
    main()

Sample Cities

The application comes preconfigured with the following cities:

• London
• Paris
• New York
• Tokyo
• Sydney
• Berlin
• Madrid

Output Format

For each city, the program outputs:

• Temperature in Fahrenheit
• Feels-like temperature in Fahrenheit
• Humidity percentage
• Weather conditions description

File Naming Convention

Weather data files are saved with the following format: {city}-{YYYY-MM-DD-HH-MM-SS}.json

Example: London-2025-01-06-14-30-45.json