30 Days DevOps Challenge - Weather Dashboard

Day 1: Building a weather data collection system using AWS S3 and OpenWeather API

Features

• Fetch real-time weather data using the OpenWeather API.
• Store weather data securely in an AWS S3 bucket.
• Ensure unique bucket names with random number generation for naming.

Prerequisites Before running this project, make sure you have the following:

• Python 3.8+ installed
• An OpenWeather API key (sign up here)
• AWS CLI configured with an IAM user having S3 permissions (Set up AWS CLI)

Setup and Installation

1. Clone the Repository from Shae's repository

   git clone https://github.com/ShaeInTheCloud/30days-weather-dashboard.git  
   cd 30days-weather-dashboard
   

2. Set Up a Virtual Environment

   python -m venv venv  
   source venv/bin/activate  # For Windows: venv\Scripts\activate
   

3. Install Dependencies

   pip install -r requirements.txt  
   

4. Add Your API Key and Configuration

• Create a .env file in the root directory:

OPENWEATHER_API_KEY==<your_openweather_api_key>  
AWS_BUCKET_NAME==<unique-bucket-name> (if you are seeing error while creating the bucket, you might need to change the name here. No underscore. You can use camelCase pattern)

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How It Works

1. The application sends a GET request to the OpenWeather API to retrieve weather data for a specific location.
2. The data is saved to an AWS S3 bucket.
3. To avoid bucket name conflicts, a random number is appended to the bucket prefix.

Running the Application Run the script:

 python app.py