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

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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate
# Description: A production-ready starter boilerplate for building micro-SaaS applications with FastAPI and Pydantic v2.

from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from typing import List
import uvicorn
import logging

# Configure logging
logging.basicConfig(level=logging.INFO)

# Define the FastAPI application
app = FastAPI(
    title="FastAPI Pydantic v2 Micro-SaaS Boilerplate",
    description="A production-ready starter boilerplate for building micro-SaaS applications with FastAPI and Pydantic v2.",
    version="1.0.0"
)

# Define a Pydantic model for the data
class Data(BaseModel):
    """Data model for the micro-SaaS application."""
    id: int
    name: str
    description: str

# Define a Pydantic model for the error response
class ErrorResponse(BaseModel):
    """Error response model for the micro-SaaS application."""
    error: str
    message: str

# Define a route for getting all data
@app.get("/data", response_model=List[Data])
async def get_all_data():

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