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```python
# AI Dev Tool: REA Metabolism Simulator
# Description: A production-ready starter boilerplate for simulating the impact of food processing on metabolism and brain activity
# Category: Production Starter Boilerplate
# Requirements: Python 3.9+, FastAPI, Supabase

from fastapi import FastAPI, HTTPException
from fastapi.responses import JSONResponse
from pydantic import BaseModel
from supabase import create_client, Client
from typing import List, Dict

# Initialize Supabase client
supabase_url: str = "https://your-supabase-url.supabase.co"
supabase_key: str = "your-supabase-key"
supabase: Client = create_client(supabase_url, supabase_key)

# Initialize FastAPI app
app: FastAPI = FastAPI()

# Define data models
class FoodItem(BaseModel):
    """Food item data model"""
    id: int
    name: str
    calories: int
    protein: int
    fat: int
    carbohydrates: int

class MetabolismData(BaseModel):
    """Metabolism data model"""
    id: int
    food_item_id: int
    brain_activity: float
    metabolism_rate: float

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