[WIP] Test Case Management System - Spring Boot CRUD Application

This project is a simple Test Case Management System built using Spring Boot, Java 17, Maven, OpenFeign, OpenAPI, and a variety of testing technologies. The primary goal of this project is to showcase the basics of backend development with Spring Boot and demonstrate the capabilities of the Spring Boot test framework, including test slices. The project also integrates a frontend application developed using JavaScript and Vue.js, as well as a query-service implemented in Python using Flask and LangChain.

Features

• CRUD Operations: The Spring Boot CRUD application provides endpoints for creating, reading, updating, and deleting test cases.
• Integration with query-service: The Spring Boot application can communicate with the query-service internally to perform specific operations.
• Frontend Interaction: Users can interact with the application through a user interface (UI) developed using JavaScript and Vue.js.

Tech Stack

Backend

• Java 17
• Maven
• Spring Boot
• MySQL
• OpenFeign for internal communication
• OpenAPI for API documentation

Testing

• JUnit 5
• Testcontainers for containerized integration tests
• WireMock for mocking external services

Frontend

• JavaScript
• Vue.js

query-service

• Python
• Flask
• LangChain

Project Structure

The project is structured as follows:

• backend module: Contains the Spring Boot CRUD application, including API endpoints, data models, and business logic.
• frontend module: Contains the frontend application built using JavaScript and Vue.js for user interaction.
• query-service module: Implements the query-service using Python, Flask, and LangChain for specific operations.

Running the Application

1. Clone the repository
2. Start MySQL docker container: docker run --name some-mysql -p 3306:3306 -e MYSQL_ROOT_PASSWORD=test-password -d mysql
3. Navigate to the backend directory
4. Build and run the Spring Boot application: mvn spring-boot:run
5. Open a new terminal window and navigate to the frontend directory
6. Start the frontend application:
   • npm install
   • npm run dev
7. Open a new terminal window and navigate to the query-service directory
8. Start query-service:
   • export OPENAI_API_KEY="{your_openai_api_key}"
   • pip install -r requirements.txt
   • python app.py
9. Open browser and navigate to http://localhost:5173/
10. To test the Spring Boot application, navigate to the backend directory and run: mvn test