⚡ Live Sandbox: AI Dev Tool: PostgreSQL Vector Search (o1la)

📝 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, validator
from typing import Optional
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
import psycopg2
import os

# Initialize the FastAPI application
app = FastAPI()

# Define the OAuth2 password bearer
oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")

# Define the PostgreSQL database connection
DATABASE_URL = os.environ.get("DATABASE_URL")
engine = create_engine(DATABASE_URL)
Base = declarative_base()

# Define the user model
class User(Base):
    __tablename__ = "users"
    id = Column(Integer, primary_key=True)
    username = Column(String, unique=True)
    email = Column(String,

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