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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 from fastapi import FastAPI, Depends from pydantic import BaseModel from typing import List from sqlalchemy import create_engine from sqlalchemy.ext.declarative import declarative_base from sqlalchemy.orm import sessionmaker, Session # Initialize FastAPI application app = FastAPI() # Define 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 base model for database tables Base = declarative_base() # Define Pydantic models for API requests and responses class User(BaseModel): id: int name: str email: str class Item(BaseModel): id: int title: str description: str # Define database tables class UserTable(Base): __tablename__ = "users" id = Column(Integer, primary_key=True) name = Column(String) email
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