⚡ Live Sandbox: AI Dev Tool: Rust WebAssembly Edge (sv29)

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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.

# Import required libraries
from fastapi import FastAPI, Depends
from fastapi.responses import JSONResponse
from pydantic import BaseModel, Field
from typing import Optional
from psycopg2 import connect
from psycopg2.extras import DictCursor
from cloudflare import WorkersKV

# Define the FastAPI application
app = FastAPI()

# Define the Pydantic model for user data
class User(BaseModel):
    id: int = Field(..., description="User ID")
    name: str = Field(..., description="User name")
    email: str = Field(..., description="User email")

# Define the database connection settings
DB_HOST = "localhost"
DB_PORT = 5432
DB_NAME = "mydatabase"
DB_USER = "myuser"
DB_PASSWORD = "mypassword"

# Establish a database connection
def get_db_connection():
    try:
        conn = connect(
            host=DB_HOST,
            port=DB_PORT,
            database=DB_NAME

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