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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 for building high-performance Micro-SaaS applications. # It combines the power of FastAPI, Pydantic v2, and PostgreSQL Vector Search Extension. from fastapi import FastAPI, Depends from fastapi.responses import JSONResponse from pydantic import BaseModel from typing import List import psycopg2 from psycopg2 import Error import uvicorn from cloudflare import Cloudflare # Initialize the FastAPI application app = FastAPI() # Define the Pydantic model for the data class Data(BaseModel): """Data model for the Micro-SaaS application""" id: int name: str description: str # Define the PostgreSQL connection parameters POSTGRES_HOST = "localhost" POSTGRES_DB = "mydatabase" POSTGRES_USER = "myuser" POSTGRES_PASSWORD = "mypassword" # Establish a connection to the PostgreSQL database def get_db_connection(): """Get a connection to the PostgreSQL database""" try: connection = psycopg2.connect( host=POSTGRES_HOST, database=POSTGRES
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