Think Different

One FastAPI application however multiple developers can work simultaneously on different services. This approach uses separate service classes, routers, and a main application file. Folder Structure fastapi_app/ ├── app/ │ ├── __init__.py │ ├── main.py │ ├── core/ │ │ ├── __init__.py │ │ └── config.py │ ├── services/ │ │ ├── __init__.py │ │ ├── service1.py │ │ ├── service2.py │ │ ├── service3.py │ │ └── service4.py │ ├── routers/ │ │ ├── __init__.py │ │ ├── router1.py │ │ ├── router2.py │ │ ├── router3.py │ │ └── router4.py │ └── models/ │ ├── __init__.py │ └── models.py └── requirements.txt Example Code app/main.py from fastapi import FastAPI from app.routers import router1, router2, router3, router4 app = FastAPI() app.include_router(router1.router) app.include_router(router2.router) app.include_router(router3.router) app.include_router(router4.router) if __name__ == "__main__": import uvicorn ...

A complete microservice application setup with a Flutter app, MongoDB, and RabbitMQ, along with all the necessary files and folder structure. The setup uses Docker Compose to orchestrate the services. Folder Structure ``` microservice-app/ │ ├── backend/ │   ├── Dockerfile │   ├── requirements.txt │   ├── main.py │   └── config.py │ ├── frontend/ │   ├── Dockerfile │   ├── pubspec.yaml │   └── lib/ │       └── main.dart │ ├── docker-compose.yml └── README.md ``` 1. `docker-compose.yml` ```yaml version: '3.8' services:   backend:     build: ./backend     container_name: backend     ports:       - "8000:8000"     depends_on:       - mongodb       - rabbitmq     environment:       - MONGO_URI=mongodb://mongodb:27017/flutterdb       - RABBITMQ_URI=amqp://guest:guest@rabbitmq...