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```python # AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate # ================================================ # 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 # Define the database connection SQLALCHEMY_DATABASE_URL = "postgresql://user:password@host:port/dbname" # Create the database engine engine = create_engine(SQLALCHEMY_DATABASE_URL) # Create a configured "Session" class SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine) # Create a base class for declarative class definitions Base = declarative_base() # Define the application app = FastAPI() # Define a dependency to get the database session def get_db(): """Get the database session.""" db = SessionLocal() try: yield db finally: db.close() # Define the user model class User(Base): """User model
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