This readme is just a snippet that I've created and I will finish it latter.

This project implements a RESTful API using Go (Golang) as the backend language, PostgreSQL as the database, and Docker for containerization.

1. Project Overview
2. Technology Stack
3. Getting Started
4. API Endpoints
5. Database Schema
6. Docker Configuration
7. Code Structure
8. Testing
9. Deployment
10. Contributing
11. License

This RESTful API project provides a scalable and maintainable backend service. It uses Go for its performance and concurrency capabilities, PostgreSQL for robust database operations, and Docker for easy deployment and containerization.

• Backend Language: Golang
• Database: PostgreSQL
• Containerization: Docker

To run the project locally:

1. Clone the repository:

2. Build the Docker image:

3. Run the Docker container:

Your API should now be accessible at http://localhost:8080.

The API currently supports the following endpoints:

• GET /users: Retrieve all users
• POST /users: Create a new user
• GET /users/{id}: Get a specific user by ID
• PUT /users/{id}: Update a user
• DELETE /users/{id}: Delete a user

Detailed documentation for each endpoint can be found in the api package.

The database schema is defined in the migrations folder. It includes tables for users and potentially other entities as the project grows.

Docker configuration files are located in the docker folder. They define the environment for both development and production setups.

The project follows a clean architecture pattern:

• cmd: Contains the main application entry point
• internal: Houses internal packages and logic
  • app: Application-specific business logic
  • domain: Domain models and interfaces
  • infrastructure: External dependencies (database, etc.)
  • interfaces: API handlers and middleware
• pkg: Reusable packages across multiple projects
• tests: Unit tests and integration tests

Unit tests are implemented using Go's built-in testing package. Integration tests are also included to verify the functionality of the API endpoints.

Run tests with:

The project is designed to be easily deployable using Docker. For production deployment, consider using orchestration tools like Kubernetes.

Contributions are welcome! Please submit pull requests with clear explanations of changes made.

This project is licensed under the MIT License. See LICENSE.md for details.