CentralMind/Gateway

--- title: 'Simple Gateway API Example' description: 'This example demonstrates a basic setup of the Gateway API with a PostgreSQL database, showcasing how to create a simple REST API service.' --- This example demonstrates a basic setup of the Gateway API with a PostgreSQL database, showcasing how to create a simple REST API service. ## Components - **Gateway API**: REST API service with team and persona endpoints - **PostgreSQL**: Database storing team and persona data ## Prerequisites - Docker - Docker Compose ## Getting Started 1. Start all services: ```bash docker-compose up -d ``` 2. Services will be available at: - Gateway API: http://localhost:8182 - PostgreSQL: localhost:5432 ## API Endpoints ### Teams Endpoints 1. List Teams ``` GET /teams ``` Query parameters: - `limit` (optional, default: 5): Number of results - `offset` (optional, default: 0): Pagination offset 2. Get Team by ID ``` GET /teams/{id} ``` 3. Get Total Teams Count ``` GET /teams/total_count ``` ### Personas Endpoints 1. List Personas ``` GET /personas ``` Query parameters: - `limit` (optional, default: 5): Number of results - `offset` (optional, default: 0): Pagination offset 2. Get Persona by ID ``` GET /personas/{id} ``` 3. Get Total Personas Count ``` GET /personas/total_count ``` ## Database Schema The database contains two main tables: ### Teams Table - `id`: Serial Primary Key - `team_name`: VARCHAR(50) - `motto`: VARCHAR(100) ### Personas Table - `id`: Serial Primary Key - `name`: VARCHAR(50) - `strength_level`: INT - `special_move`: VARCHAR(100) - `favorite_drink`: VARCHAR(50) - `battle_cry`: VARCHAR(100) - `team_id`: INT (Foreign Key to Teams Table) ## Configuration Files - `docker-compose.yml`: Service orchestration - `config.yaml`: Gateway API configuration with endpoint definitions - `connection.yaml`: Database connection settings - `init.sql`: Database initialization script with sample data ## Data Loading Sample data for teams and personas is automatically loaded during initialization through the `init.sql` script.