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```python # AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate with PostgreSQL Vector Search Extension # ================================================================================================= from fastapi import FastAPI, Depends from fastapi.responses import JSONResponse from pydantic import BaseModel from typing import List, Optional from psycopg2 import connect from psycopg2.extras import DictCursor from psycopg2.errors import UniqueViolation import logging # Initialize the logger logging.basicConfig(level=logging.INFO) logger = logging.getLogger(__name__) # Define the PostgreSQL connection settings POSTGRES_HOST = "localhost" POSTGRES_PORT = 5432 POSTGRES_DB = "mydatabase" POSTGRES_USER = "myuser" POSTGRES_PASSWORD = "mypassword" # Define the FastAPI app app = FastAPI() # Define the Pydantic models class User(BaseModel): """User model""" id: int name: str email: str class Item(BaseModel): """Item model""" id: int title: str description: str # Define the PostgreSQL connection function def get_db(): """Get a PostgreSQL database connection""" try: conn = connect( host=POSTGRES_HOST,
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