Iris Test Generation Tool - Microservices

This project sets up the Iris Test Generation Tool as a set of microservices orchestrated by Docker Compose.

Project Structure

• /ui: Contains the React.js frontend application.
• /backend: Contains the Node.js/Express.js backend application with Prisma.
• /agent: Contains the Python/Langchain AI agent.
• docker-compose.yml: Defines the services, networks, and volumes for Docker Compose.
• /database: Data for the PostgreSQL database is persisted in a Docker volume defined in docker-compose.yml.

Prerequisites

• Docker
• Docker Compose

Getting Started

1. Clone the repository (if you haven't already):

   # git clone <repository-url>
   # cd <repository-name>

2. Build and run the services using Docker Compose:

   docker-compose up --build

   This command will:

   • Build the Docker images for the ui, backend, and agent services if they don't exist.
   • Pull the postgres:latest image for the database service.
   • Start all the defined services.

3. Accessing the services:

   • UI: http://localhost:3000
   • Backend: http://localhost:8000
   • Agent: http://localhost:8001 (or as configured)
   • Database: Accessible on port 5432 (e.g., for a database client)

API Documentation

The backend service provides API documentation using Swagger UI. Once the backend server is running, you can access the Swagger UI by navigating to:

• Swagger API Docs: http://localhost:8000/api-docs

This interface allows you to view and interact with the available API endpoints.

4. To stop the services:

   docker-compose down

Further Development

• Each service (ui, backend, agent) has its own Dockerfile and can be developed independently.
• Changes to the source code in the mounted volumes (./ui:/app/ui, etc.) will trigger auto-reloading if configured within the respective service's development server.