⚡ Live Sandbox: AI Dev Tool: FastAPI Pydantic v2 (cl83)

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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate
# ======================================================

from fastapi import FastAPI, Depends
from pydantic import BaseModel
from typing import Optional
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker, Session

# Initialize FastAPI app
app = FastAPI()

# Define database connection
SQLALCHEMY_DATABASE_URL = "sqlite:///example.db"
engine = create_engine(SQLALCHEMY_DATABASE_URL)
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)

# Define base class for database models
Base = declarative_base()

# Define example database model
class Item(Base):
    __tablename__ = "items"
    id = Column(Integer, primary_key=True)
    name = Column(String)
    description = Column(String)
    price = Column(Float)

# Create database tables
Base.metadata.create_all(bind=engine)

# Define Pydantic model for item
class ItemPydantic(BaseModel):
    name: str
    description: Optional[str]
    price: float

# Define dependency for database session
def get_db():
    db = SessionLocal()
    try:
        yield db

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