QualityLab Pro-API RESTful for internal laboratory quality control.

Technologies

Description

The RESTful API for Laboratory Internal Quality Control is designed to assist clinical and research laboratories in monitoring and controlling the quality of their processes. This API provides endpoints to manage information related to control standards, test results, statistical analyses, and other activities essential for ensuring the accuracy and reliability of laboratory data.

Project Structure

├── .github/workflows     # GitHub Actions workflow configurations
├── src/
│   ├── main/
│   │   ├── java/leonardo/labutilities/qualitylabpro/
│   │   │   ├── configs/           # Application configurations
│   │   │   │   ├── date/         # Date/time configurations
│   │   │   │   ├── docs/         # API documentation
│   │   │   │   ├── rest/         # REST configurations 
│   │   │   │   └── security/     # Security settings
│   │   │   ├── controllers/      # REST endpoints
│   │   │   ├── dtos/            # Data Transfer Objects
│   │   │   ├── entities/        # Domain entities
│   │   │   ├── repositories/    # Data access layer
│   │   │   ├── services/       # Business logic
│   │   │   └── utils/          # Helper classes
│   │   └── resources/
│   │       ├── db/migration/    # Flyway migrations
│   │       └── application.properties
│   └── test/
│       └── java/               # Test classes
├── database/                   # Database scripts
├── nginx/                      # Nginx configurations
├── docker-compose.yml          # Docker compose files
└── pom.xml                     # Maven configuration

Key Components:

• configs/: Configuration classes for security, documentation, and more
• controllers/: REST API endpoints organized by domain
• services/: Business logic implementations
• dtos/: Data Transfer Objects for API requests/responses
• entities/: Domain model classes
• repositories/: Database access layer
• utils/: Helper classes and utilities
• .github/workflows/: CI/CD pipeline configurations

Continuous Integration

This project uses GitHub Actions for automated testing and deployment. Our CI/CD pipeline includes:

• Automated build and test execution
• Code quality checks
• Docker image building
• Automated deployment to staging/production environments

You can view the workflow configurations in the .github/workflows directory.

Requirements

• Java 21
• Maven
• Docker
• Git

Installation

Step 1. Clone the repository

Run the command below in Git Bash or Terminal to clone the repository:

git clone https://github.com/LabGraphTeam/LabGraph-Back-End.git

Step 2. Running with docker-compose

In the project root directory, run the command:

docker compose -f docker-compose-dev.yml up --build    

Usage

Step 3. Access API documentation

http://localhost:8080/swagger-ui.html

Running Tests

With Maven

To run tests with detailed output:

./mvnw test -Dorg.slf4j.simpleLogger.defaultLogLevel=DEBUG

For even more detailed test output:

./mvnw test -X

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Contributing

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

Misc

License

This project is licensed under the GNU General Public License v3.0 (GPL-3.0) - see the LICENSE file for details.

The GPL-3.0 ensures that:

• The software remains open source
• Any modifications or derived works must also be released under GPL-3.0
• Source code must be made available when distributing the software