⚡ Live Sandbox: AI Dev Tool: FastAPI Pydantic v2 (eyvj)

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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate
# ================================================
# This is a production-ready developer code asset for building micro-SaaS applications
# using FastAPI, Pydantic v2, and PostgreSQL Vector Search Extension.

from fastapi import FastAPI, HTTPException
from fastapi.responses import JSONResponse
from pydantic import BaseModel, validator
from typing import Optional
import psycopg2
import psycopg2.extras
import json

# Initialize the FastAPI application
app = FastAPI()

# Define the PostgreSQL database connection settings
POSTGRES_HOST = "localhost"
POSTGRES_PORT = 5432
POSTGRES_USER = "postgres"
POSTGRES_PASSWORD = "postgres"
POSTGRES_DB = "micro_saaS"

# Define the PostgreSQL database connection
def get_db_connection():
    """Get a connection to the PostgreSQL database."""
    try:
        return psycopg2.connect(
            host=POSTGRES_HOST,
            port=POSTGRES_PORT,
            user=POSTGRES_USER,
            password=POSTGRES_PASSWORD,
            database=POSTGRES_DB
        )
    except psycopg2.OperationalError as e:
        raise HTTPException(status_code=500, detail=f"Failed to connect to database

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