⚡ Live Sandbox: AI Dev Tool: PostgreSQL Vector Search Extension

📝 Editable Code Sandbox

```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate
# =============================================
# A production-ready, high-demand developer code asset
# for building scalable and secure Micro-SaaS applications
# using FastAPI, Pydantic v2, and PostgreSQL Vector Search Extension

from fastapi import FastAPI, Depends, HTTPException
from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm
from pydantic import BaseModel, Field
from pydantic.validators import UUID4
from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from sqlalchemy.exc import IntegrityError
from typing import List, Optional
from uuid import uuid4
import os
import logging

# Initialize the logger
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

# Initialize the FastAPI app
app = FastAPI()

# Initialize the PostgreSQL database connection
DATABASE_URL = os.environ.get("DATABASE_URL")
engine = create_engine(DATABASE_URL)
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)

# Define the base model for the database tables
Base = declarative_base()

🖥️ Interactive Execution Terminal Console

⚡ Ready! Click ▶️ Run Code to execute code in browser terminal...