@app.get("/users/") async def get_users(): return users
if __name__ == "__main__": main() In this example, we define a simple microservice using FastAPI, which exposes an endpoint to retrieve users. We then use the requests library to consume this endpoint in a separate application. In this write-up, we explored various Python architecture patterns, including monolithic, microservices, event-driven, layered, and hexagonal architectures. We provided examples to help you get started with each pattern. When choosing an architecture pattern, consider the specific needs of your project, including scalability, maintainability, and complexity.
import requests
class User(BaseModel): id: int name: str
from flask import Flask, jsonify
@app.route("/users", methods=["GET"]) def get_users(): return jsonify(data)
from fastapi import FastAPI from pydantic import BaseModel python architecture patterns pdf
def main(): response = requests.get("http://localhost:8000/users/") print(response.json())