Files
healthy-fit/backend/app/api/v1/endpoints/nutrition.py
Carlos Escalante 184c8330a7 Add AI-powered nutrition and plan modules
Introduces DSPy-based nutrition and plan generation modules, including image analysis for nutritional info and personalized diet/exercise plans. Adds new API endpoints for health metrics/goals, nutrition image analysis, and plan management. Updates models, schemas, and backend structure to support these features, and includes initial training data and configuration for prompt optimization.
2026-01-18 17:14:56 -06:00

73 lines
2.0 KiB
Python

import litellm
import dspy
from typing import Any
from fastapi import APIRouter, Depends, File, Form, HTTPException, UploadFile
from pydantic import BaseModel
from sqlmodel import Session
from app.ai.nutrition import NutritionalInfo, analyze_nutrition_from_image, nutrition_module
from app.api import deps
from app.models.food import FoodLog # Added FoodItem
router = APIRouter()
class AnalyzeRequest(BaseModel):
description: str
@router.post("/analyze", response_model=NutritionalInfo)
def analyze_food(
request: AnalyzeRequest,
) -> Any:
"""
Analyze food description and return nutritional info using DSPy.
"""
try:
result = nutrition_module(description=request.description)
return result.nutritional_info
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
@router.post("/analyze/image", response_model=NutritionalInfo)
async def analyze_food_image(
file: UploadFile = File(...),
description: str = Form(""),
) -> Any:
"""
Analyze food image and return nutritional info.
"""
try:
contents = await file.read()
return analyze_nutrition_from_image(contents, description)
except litellm.exceptions.BadRequestError as e:
raise HTTPException(status_code=400, detail=f"Invalid image or request: {str(e)}")
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
@router.post("/log", response_model=FoodLog)
def log_food(
*,
session: Session = Depends(deps.get_session),
nutrition_info: NutritionalInfo,
current_user: deps.CurrentUser,
) -> Any:
"""
Save food log to database.
"""
food_log = FoodLog(
user_id=current_user.id,
name=nutrition_info.name,
calories=nutrition_info.calories,
protein=nutrition_info.protein,
carbs=nutrition_info.carbs,
fats=nutrition_info.fats,
)
session.add(food_log)
session.commit()
session.refresh(food_log)
return food_log