cfc/cfc-langgraph/app/models/meal.py

from pydantic import BaseModel
from typing import Optional, List


class FoodRecognizeRequest(BaseModel):
    image_url: str
    prompt: str = "识别图片中的主要食材，返回 JSON 格式：[{name, confidence, category}]"


class FoodsItem(BaseModel):
    name: str
    confidence: float
    category: str = "unknown"


class FoodRecognizeResponse(BaseModel):
    foods: List[FoodsItem]
    raw_response: str = ""
    trace_id: str = ""


class MenuGenerateRequest(BaseModel):
    selected_foods: str
    participants: str
    date: str
    allergies: Optional[str] = None
    avoid_foods: Optional[str] = None
    health_goals: Optional[str] = None
    spice_level: Optional[int] = None
    cuisine_pref: Optional[str] = None
    # CR-C / AC-23：Java AiGateway 下发的午/晚餐标准菜数 D(N)。
    # 默认 None 让旧调用方 100% 兼容；菜数硬保证在 Java normalizeMenu，此处仅软引导 prompt。
    dish_count: Optional[int] = None


class MenuIngredient(BaseModel):
    name: str
    grams: int


class MenuDish(BaseModel):
    name: str
    ingredients: List[MenuIngredient]
    cooking_method: str = ""
    nutrition: Optional[dict] = None
    notes: str = ""


class MenuGenerateResponse(BaseModel):
    menu_json: str = ""
    trace_id: str = ""