⚡ Live Sandbox: AI Dev Tool: FastAPI Pydantic v2 MicroSaaS

📝 Editable Code Sandbox

```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate
# Description: Production-ready FastAPI boilerplate with Pydantic v2 and PostgreSQL support
# Author: [Your Name]

from fastapi import FastAPI, Depends
from fastapi.responses import JSONResponse
from fastapi.requests import Request
from pydantic import BaseModel
from typing import List, Optional
from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker, Session
import uvicorn
import os

# Initialize FastAPI app
app = FastAPI()

# PostgreSQL database connection settings
POSTGRES_USER = os.environ.get("POSTGRES_USER")
POSTGRES_PASSWORD = os.environ.get("POSTGRES_PASSWORD")
POSTGRES_HOST = os.environ.get("POSTGRES_HOST")
POSTGRES_DB = os.environ.get("POSTGRES_DB")

# Create PostgreSQL database engine
SQLALCHEMY_DATABASE_URL = f"postgresql://{POSTGRES_USER}:{POSTGRES_PASSWORD}@{POSTGRES_HOST}:5432/{POSTGRES_DB}"
engine = create_engine(SQLALCHEMY_DATABASE_URL)

# Create a configured "Session" class
SessionLocal = sessionmaker(autocommit=False, autoflush=False

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