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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 with FastAPI, Pydantic v2, and PostgreSQL Vector Search Extension. from fastapi import FastAPI, Depends, HTTPException from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials from pydantic import BaseModel from typing import List, Optional import psycopg2 from psycopg2 import Error import logging # Initialize the FastAPI application app = FastAPI() # Define the Pydantic model for the user class User(BaseModel): id: int username: str email: str # Define the Pydantic model for the search query class SearchQuery(BaseModel): query: str # Define the PostgreSQL connection settings POSTGRES_HOST = "localhost" POSTGRES_DB = "mydatabase" POSTGRES_USER = "myuser" POSTGRES_PASSWORD = "mypassword" # Initialize the PostgreSQL connection def get_postgres_connection(): try: return psycopg2.connect( host=POSTGRES_HOST, database=POSTGRES_DB, user=POST
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