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```python # AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate # Description: Production-ready starter boilerplate for building micro-SaaS applications with FastAPI and Pydantic v2 # Author: [Your Name] 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 FastAPI application app = FastAPI(title="FastAPI Pydantic v2 Micro-SaaS Boilerplate", description="Production-ready starter boilerplate") # Define database connection SQLALCHEMY_DATABASE_URL = "sqlite:///example.db" engine = create_engine(SQLALCHEMY_DATABASE_URL) SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine) # Define database model Base = declarative_base() class User(Base): __tablename__ = "users" id = Column(Integer, primary_key=True) name = Column(String) email = Column(String, unique=True) # Create database tables Base.metadata.create_all(bind=engine) # Define Pydantic models
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