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

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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate with PostgreSQL Vector Search Extension
# =============================================================================================
# This is a production-ready developer code asset that combines the power of FastAPI, Pydantic v2, 
# and PostgreSQL Vector Search Extension to create a scalable and efficient Micro-SaaS application.

from fastapi import FastAPI, Depends
from fastapi.responses import JSONResponse
from pydantic import BaseModel, Field
from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker, Session
from typing import List, Optional
import psycopg2
import uvicorn

# Define the database connection parameters
DATABASE_URL = "postgresql://user:password@host:port/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 declarative models
Base = declarative_base()

# Define a Pydantic model for the data
class Item(BaseModel):
    """Item model"""
    id: int = Field(..., description="Item ID")

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