Analytics API

Welcome to the Analytics API project! This repository provides a robust and scalable API designed to facilitate seamless data analytics operations. Whether you're building data-driven applications or integrating analytics into existing systems, this API offers the flexibility and performance you need.

Features

• Comprehensive Data Endpoints: Access a wide range of data analytics functionalities through well-defined endpoints.
• Scalability: Designed to handle large datasets efficiently, ensuring optimal performance.
• Extensibility: Easily customizable to fit specific analytics requirements and workflows.
• Docker Support: Simplified deployment using Docker, allowing for consistent environments across development and production.

Getting Started

Prerequisites

Ensure you have the following installed on your system:

• Docker: For containerization and simplified deployment.
• Docker Compose: To manage multi-container Docker applications.

Installation

1. Clone the Repository:

   git clone https://github.com/herman72/analytics-api.git
   cd analytics-api

2. Set Up Environment Variables:

   • Rename .env.compose to .env:

     mv .env.compose .env

   • Update the .env file with your specific configuration settings.

Usage

Building and Running the Application

Utilize Docker Compose for streamlined management:

• Start the Application:

  docker compose up --watch

  This command builds the Docker image and starts the application in detached mode.

• Stop the Application:

  docker compose down

  To remove associated volumes:

  docker compose down -v

Accessing the Application

Once the application is running, access the API documentation and test endpoints by navigating to http://localhost:8000 in your browser.

Development

For development purposes, you can access the application container's shell:

docker compose run app /bin/bash

Or, to start a Python interactive session:

docker compose run app python

Contributing

We welcome contributions to enhance the Analytics API. To contribute:

1. Fork the repository.
2. Create a new branch (git checkout -b feature/YourFeature).
3. Commit your changes (git commit -m 'Add some feature').
4. Push to the branch (git push origin feature/YourFeature).
5. Open a Pull Request.

Please ensure your code adheres to the project's coding standards and includes appropriate tests.

License

This project is licensed under the Apache-2.0 License. See the LICENSE file for more details.

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For any questions or further assistance, feel free to open an issue in this repository. Happy coding!

Docker

• docker build -t analytics-app -f Dockerfile.web .
• docker run analytics-app

becomes

• docker compose run app /bin/bash or docker compose run app python