https://github.com/benjaminburton/weather-dashboard-with-aws

https://github.com/benjaminburton/weather-dashboard-with-aws

Last synced: 1 day ago
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• Host: GitHub
• URL: https://github.com/benjaminburton/weather-dashboard-with-aws
• Owner: BenjaminBurton
• Created: 2025-01-08T16:56:59.000Z (about 1 month ago)
• Default Branch: main
• Last Pushed: 2025-01-08T17:21:13.000Z (about 1 month ago)
• Last Synced: 2025-01-08T18:29:43.695Z (about 1 month ago)
• Language: Python
• Size: 2.93 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# 30 Days DevOps Challenge - Weather Dashboard

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

# Weather Data Collection System - DevOps Day 1 Challenge

## Project Overview

This project is a Weather Data Collection System that demonstrates core DevOps principles by combining:

- External API Integration (OpenWeather API)

- Cloud Storage (AWS S3)

- Infrastructure as Code

- Version Control (Git)

- Python Development

- Error Handling

- Environment Management

## Features

- Fetches real-time weather data for multiple cities

- Displays temperature (°F), humidity, and weather conditions

- Automatically stores weather data in AWS S3

- Supports multiple cities tracking

- Timestamps all data for historical tracking

## Technical Architecture

- **Language:** Python 3.x

- **Cloud Provider:** AWS (S3)

- **External API:** OpenWeather API

- **Dependencies:** 

  - boto3 (AWS SDK)

  - python-dotenv

  - requests

```markdown

## Project Structure

weather-dashboard/

  src/

    __init__.py

    weather_dashboard.py

  tests/

  data/

  .env

  .gitignore

  requirements.txt

## Setup Instructions

1. Clone the repository:

--bash

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

3. Install dependencies:

pip install -r requirements.txt

4. Configure environment variables (.env):

OPENWEATHER_API_KEY=your_api_key

AWS_BUCKET_NAME=your_bucket_name

4.Configure AWS credentials:

aws configure

5. Run the application:

python src/weather_dashboard.py

What I Learned

AWS S3 bucket creation and management

Environment variable management for secure API keys

Python best practices for API integration

Git workflow for project development

Error handling in distributed systems

Cloud resource management

Future Enhancements

Add weather forecasting

Implement data visualization

Add more cities

Create automated testing

Set up CI/CD pipeline

Credit goes to the creators of this repo:

Ifeanyi Otuonye, Alicia Ahl,  Kathryn (Kat) Jones, DeShae Lyda