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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate
# Description: Production-ready FastAPI boilerplate with Pydantic v2 for building micro-SaaS applications
# Author: [Your Name]

from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from typing import List, Optional
import sqlite3
import uvicorn

# Define the FastAPI application
app = FastAPI(title="FastAPI Pydantic v2 Micro-SaaS Boilerplate", description="Production-ready boilerplate for building micro-SaaS applications")

# Define the database connection
conn = sqlite3.connect("database.db")
cursor = conn.cursor()

# Define the Pydantic models
class User(BaseModel):
    id: int
    name: str
    email: str

class Product(BaseModel):
    id: int
    name: str
    price: float

# Define the API endpoints
@app.get("/users/")
async def get_users():
    """
    Get all users
    """
    cursor.execute("SELECT * FROM users")
    users = cursor.fetchall()
    return [{"id": user[0], "name": user[1], "email": user[2]} for user in users

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