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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, Depends, HTTPException from pydantic import BaseModel, Field from typing import List, Optional from sqlalchemy import create_engine, Column, Integer, String from sqlalchemy.ext.declarative import declarative_base from sqlalchemy.orm import sessionmaker, Session # Initialize the FastAPI application app = FastAPI() # Define the database connection URL SQLALCHEMY_DATABASE_URL = "postgresql://user:password@host:port/dbname" # Create a database engine engine = create_engine(SQLALCHEMY_DATABASE_URL) # Create a session maker SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine) # Create a base class for declarative models Base = declarative_base() # Define a Pydantic model for the user class User(BaseModel): """User model.""" id: int = Field(..., description="User ID") name: str = Field(..., description="User name") email: str = Field(..., description="
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