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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.security import HTTPBearer, HTTPAuthorizationCredentials from pydantic import BaseModel from typing import List, Optional import psycopg2 from psycopg2 import extras import json # Initialize FastAPI App app = FastAPI() # Initialize PostgreSQL Connection conn = psycopg2.connect( host="localhost", database="mydatabase", user="myuser", password="mypassword" ) # Define Pydantic Models class User(BaseModel): id: int name: str email: str class VectorSearchQuery(BaseModel): query: str limit: int = 10 # Define Authentication Dependency security = HTTPBearer() # Define Authentication Function async def get_current_user(credentials: HTTPAuthorizationCredentials = Depends(security)): # Implement Authentication Logic Here return credentials.credentials # Define Vector Search Function def vector_search(query: str, limit: int = 10): """ Perform vector search on PostgreSQL database. Args: - query (str): Search query.
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