README

Overview

This project is a microservices-based application composed of several services, each responsible for a specific functionality. The services communicate with each other using Kafka as a messaging broker, and they are containerized using Docker. The application also uses Zookeeper for managing the Kafka brokers and relies on MySQL and PostgreSQL for data persistence.

Tools

1. Postman
2. Docker Desktop
3. Helm
4. Skaffold
5. K9s

Services

How to Run the Application

1. Install Docker and Docker Compose: Ensure that you have Docker and Docker Compose installed on your machine.

2. Import OpenAI API key to to env variables.

3. Build and Start the Services: Navigate to the directory containing the docker-compose.yml file and run the following command:

   docker-compose up --build

This command will build the Docker images for the services and start them.

Access the Application

Once the services are up and running, you can access the gateway at http://localhost:8080.

Environment Variables

Each service requires certain environment variables for configuration:

Chat Service:

• SPRING_PROFILES_ACTIVE: Spring profile to use.
• SPRING_DATASOURCE_URL: URL to connect to PostgreSQL.
• SPRING_DATASOURCE_USERNAME: Username for PostgreSQL.
• SPRING_DATASOURCE_PASSWORD: Password for PostgreSQL.
• SPRING_KAFKA_BOOTSTRAP_SERVERS: Kafka broker address.

Recommendation, Subscription, and User Services:

• SPRING_PROFILES_ACTIVE: Spring profile to use.
• SPRING_DATASOURCE_URL: URL to connect to MySQL.
• SPRING_DATASOURCE_USERNAME: Username for MySQL.
• SPRING_DATASOURCE_PASSWORD: Password for MySQL.
• SPRING_KAFKA_BOOTSTRAP_SERVERS: Kafka broker address.

Subscription Service Only:

• STRIPE_API_KEY: API key for Stripe payment processing.

Gateway:

• SPRING_PROFILES_ACTIVE: Spring profile to use.
• Service URIs to route requests.

Stopping the Application

To stop the running services, press Ctrl + C in the terminal where the services are running or execute:

docker-compose down

Cleaning Up

If you wish to remove the containers along with the volumes, use:

docker-compose down -v

Troubleshooting

docker-compose logs <service-name>