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```python # AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate # Description: A production-ready starter boilerplate for building micro-SaaS applications using FastAPI and Pydantic v2. from fastapi import FastAPI, HTTPException from pydantic import BaseModel from typing import List import uvicorn import logging # Initialize the FastAPI application app = FastAPI(title="FastAPI Pydantic v2 Micro-SaaS Boilerplate", version="1.0.0") # Define a Pydantic model for the user class User(BaseModel): """User model""" id: int name: str email: str # Define a Pydantic model for the item class Item(BaseModel): """Item model""" id: int name: str description: str price: float # Define a route for getting all users @app.get("/users/", response_model=List[User]) async def get_users(): """Get all users""" try: # Simulate a database query users = [ User(id=1, name="John Doe", email="john@example.com"), User(id=2,
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