This content originally appeared on DEV Community and was authored by Ameh Mathias Ejeh
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.
This content originally appeared on DEV Community and was authored by Ameh Mathias Ejeh
Ameh Mathias Ejeh | Sciencx (2025-01-17T23:09:50+00:00) Building a Weather Dashboard using S3, Python and OpenWeather API. Retrieved from https://www.scien.cx/2025/01/17/building-a-weather-dashboard-using-s3-python-and-openweather-api/
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