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```python # AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Production Starter Boilerplate # ============================================================================== # This is a high-demand, production-ready developer code asset for building # scalable and secure Micro-SaaS applications using FastAPI and Pydantic v2. from fastapi import FastAPI, Depends, HTTPException from pydantic import BaseModel, Field from typing import 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 SQLALCHEMY_DATABASE_URL = "postgresql://user:password@localhost/dbname" engine = create_engine(SQLALCHEMY_DATABASE_URL) SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine) # Define the base class for database models Base = declarative_base() # Define a sample database model class User(Base): __tablename__ = "users" id = Column(Integer, primary_key=True) name = Column(String) email = Column(String, unique=True) # Create the database tables Base.metadata.create_all(bind=engine) # Define a Py