⚡ Live Sandbox: AI Dev Tool: The EPA Is Planning

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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate for EPA Data Center Pollution API
# =====================================================================================
# This production-ready boilerplate provides a basic structure for building a Micro-SaaS
# application using FastAPI and Pydantic v2. It includes a simple API for retrieving and
# updating data center pollution information.

from fastapi import FastAPI, HTTPException
from pydantic import BaseModel, Field
from typing import List, Optional

# Define the FastAPI application
app = FastAPI(
    title="EPA Data Center Pollution API",
    description="A Micro-SaaS API for retrieving and updating data center pollution information.",
    version="1.0.0"
)

# Define the Pydantic model for data center pollution data
class DataCenterPollution(BaseModel):
    id: int = Field(..., description="Unique identifier for the data center")
    name: str = Field(..., description="Name of the data center")
    location: str = Field(..., description="Location of the data center")
    pollution_level: float = Field(..., description="Current pollution level of the data center")

# Define the Pydantic model for updating data center pollution data
class UpdateData

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