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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate
# Description: A production-ready boilerplate for building micro-SaaS applications using FastAPI and Pydantic v2.
# Author: [Your Name]

from fastapi import FastAPI, Depends, HTTPException
from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm
from pydantic import BaseModel, Field
from typing import Optional
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String
from sqlalchemy.exc import IntegrityError
import uvicorn
import os

# Define the database connection URL
DATABASE_URL = os.environ.get("DATABASE_URL", "postgresql://user:password@localhost/dbname")

# Create a database engine
engine = create_engine(DATABASE_URL)

# Create a session maker
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)

# Create a base class for models
Base = declarative_base()

# Define the user model
class User(Base):
    """User model"""
    __tablename__ = "users"
    id = Column(Integer, primary_key=True)

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