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```python # AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS with PostgreSQL Vector Search Extension # ============================================================================== # This is a production-ready developer code asset for building high-performance Micro-SaaS applications. # It combines FastAPI, Pydantic v2, and PostgreSQL Vector Search Extension for efficient data retrieval. from fastapi import FastAPI, Depends from fastapi.responses import JSONResponse from pydantic import BaseModel from typing import List, Optional import psycopg2 from psycopg2 import Error from psycopg2.extras import DictCursor import logging # Initialize the logger logging.basicConfig(level=logging.INFO) logger = logging.getLogger(__name__) # Define the PostgreSQL database connection settings POSTGRES_HOST = "localhost" POSTGRES_DB = "mydatabase" POSTGRES_USER = "myuser" POSTGRES_PASSWORD = "mypassword" # Define the FastAPI application app = FastAPI() # Define the Pydantic model for the data class Data(BaseModel): id: int name: str description: str # Define the PostgreSQL database connection function def get_db_connection(): try: connection = psycopg2.connect( host=POSTGRES_HOST, database=POSTGRES_DB
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