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```python # AI Dev Tool: Turbocharged FastAPI Pydantic v2 Micro-SaaS 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, 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 # Initialize the FastAPI application app = FastAPI(title="Turbocharged FastAPI Pydantic v2 Micro-SaaS Boilerplate", description="A high-performance Micro-SaaS boilerplate", version="1.0.0") # Define the database connection SQLALCHEMY_DATABASE_URL = "postgresql://user:password@host:port/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
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