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Building a Weather Dashboard using S3, Python and OpenWeather API
Overview This Project is a Python-based application designed to interact with the OpenWeather API to fetch and display real-time weather data. This project demonstrates how to consume a third-party API, handle HTTP requests, process JSON responses, and present weather data in a user-friendly manner. Features Retrieve current weather data for a specified location. Display weather details such as temperature, humidity, wind speed, and weather conditions. Automatically stores weather data in AWS S3 Supports multiple cities tracking Timestamps all data for historical tracking Handle errors gracefully, including invalid API keys, network issues, and unsupported locations. Prerequisites Before running this project, ensure the following requirements are met: AWS Account Python 3.8.10 installed on your system. An active OpenWeather API key. Required Python packages installed. Project Structure Open-Weather-API-Project/ ├── src/ ├── init.py # Package initializer ├── weather_dashboard.py # Main script to run the application ├── .gitignore # Git ignore file ├── README.md # Project documentation ├── requirements.txt # Python dependencies Architecture Diagram Setup Instructions clone the repository: git clone https://github.com/ameh0429/Open-Weather-API-Project.git cd Open-Weather-API-Project Install Dependencies pip install -r requirements.txt The error indicates a dependency conflict between the version of request I specified (2.28.2) and the version required by jupyterlab-server (>=2.31) Step to fix since jupyterlab-server requires requests>=2.31, I upgraded requests to a version that satisfies this requirement by runnig this command: pip install "requests>=2.31" Configure environment variables (.env) OPENWEATHER_API_KEY=your_api_key AWS_BUCKET_NAME=your_bucket_name Configure AWS credentials: aws configure Insert the python script in the weather_dashboard.py file This Python script is building a class named WeatherDashboard to: Fetch environment variables using dotenv for API keys and S3 bucket names. Use boto3 (AWS SDK for Python) to interact with AWS S3. Set up functionality to fetch weather data, process it, and store it in an S3 bucket Run the application: python src/weather_dashboard.py Confirm the weather data in S3 bucket Future Improvements Add support for extended forecasts (e.g., 7-day weather data). Implement unit tests for better code coverage. Enable geolocation-based weather fetching.
Overview
This Project is a Python-based application designed to interact with the OpenWeather API to fetch and display real-time weather data. This project demonstrates how to consume a third-party API, handle HTTP requests, process JSON responses, and present weather data in a user-friendly manner.
Features
- Retrieve current weather data for a specified location.
- Display weather details such as temperature, humidity, wind speed, and weather conditions.
- Automatically stores weather data in AWS S3
- Supports multiple cities tracking
- Timestamps all data for historical tracking
- Handle errors gracefully, including invalid API keys, network issues, and unsupported locations.
Prerequisites
Before running this project, ensure the following requirements are met:
- AWS Account
- Python 3.8.10 installed on your system.
- An active OpenWeather API key.
- Required Python packages installed.
Project Structure
Open-Weather-API-Project/
├── src/
├── init.py # Package initializer
├── weather_dashboard.py # Main script to run the application
├── .gitignore # Git ignore file
├── README.md # Project documentation
├── requirements.txt # Python dependencies
Architecture Diagram
Setup Instructions
- clone the repository:
git clone https://github.com/ameh0429/Open-Weather-API-Project.git
cd Open-Weather-API-Project
- Install Dependencies
pip install -r requirements.txt
The error indicates a dependency conflict between the version of request I specified (2.28.2) and the version required by jupyterlab-server (>=2.31)
Step to fix
since jupyterlab-server requires requests>=2.31, I upgraded requests to a version that satisfies this requirement by runnig this command:
pip install "requests>=2.31"
- Configure environment variables (.env)
OPENWEATHER_API_KEY=your_api_key
AWS_BUCKET_NAME=your_bucket_name
- Configure AWS credentials:
aws configure
- Insert the python script in the weather_dashboard.py file
This Python script is building a class named WeatherDashboard to:
- Fetch environment variables using dotenv for API keys and S3 bucket names.
- Use boto3 (AWS SDK for Python) to interact with AWS S3.
- Set up functionality to fetch weather data, process it, and store it in an S3 bucket
- Run the application:
python src/weather_dashboard.py
- Confirm the weather data in S3 bucket
- Future Improvements
- Add support for extended forecasts (e.g., 7-day weather data).
- Implement unit tests for better code coverage.
- Enable geolocation-based weather fetching.
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