- Auth Playwright (login local, session persistee, capture du bearer token) - Client httpx vers l'API interne (endpoints via discover_api.py) - Filtre d'exclusion insensible aux accents (coco & co) - Serveur FastMCP (streamable-http) + outils hf_* - Docker + compose pour deploiement homelab
125 lines
4.4 KiB
Python
125 lines
4.4 KiB
Python
"""Modèles de données HelloFresh, indépendants de la forme exacte de l'API interne.
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Les dataclasses sont volontairement tolérantes : `Recipe.from_api` mappe au mieux les
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champs des réponses gateway (qui varient selon les endpoints découverts) vers une forme
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stable utilisée par le filtre et le serveur MCP.
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"""
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from __future__ import annotations
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from dataclasses import dataclass, field, asdict
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from typing import Any
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def _first(d: dict, *keys, default=None):
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"""Renvoie la première clé présente et non vide parmi `keys`."""
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for k in keys:
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v = d.get(k)
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if v not in (None, "", [], {}):
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return v
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return default
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@dataclass
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class Recipe:
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id: str
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name: str
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headline: str = ""
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ingredients: list[str] = field(default_factory=list)
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allergens: list[str] = field(default_factory=list)
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tags: list[str] = field(default_factory=list)
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image_url: str = ""
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prep_time: str = ""
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# Champs calculés par le filtre (remplis plus tard)
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contains_excluded: bool = False
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matched_excludes: list[str] = field(default_factory=list)
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score: float = 0.0
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@classmethod
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def from_api(cls, raw: dict[str, Any]) -> "Recipe":
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"""Construit une Recipe depuis un objet recette brut de l'API gateway.
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Les noms de champs HelloFresh varient ; on tente plusieurs alias. À ajuster
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une fois la forme réelle confirmée via discover_api.py.
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"""
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ingredients = []
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for ing in _first(raw, "ingredients", default=[]) or []:
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if isinstance(ing, dict):
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name = _first(ing, "name", "label", "title")
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if name:
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ingredients.append(str(name))
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elif isinstance(ing, str):
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ingredients.append(ing)
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allergens = []
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for al in _first(raw, "allergens", default=[]) or []:
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if isinstance(al, dict):
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name = _first(al, "name", "label", "title")
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if name:
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allergens.append(str(name))
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elif isinstance(al, str):
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allergens.append(al)
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tags = []
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for tg in _first(raw, "tags", "labels", default=[]) or []:
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if isinstance(tg, dict):
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name = _first(tg, "name", "label", "text")
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if name:
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tags.append(str(name))
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elif isinstance(tg, str):
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tags.append(tg)
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image = _first(raw, "imageLink", "image", "imageUrl", "cardLink", default="")
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if isinstance(image, dict):
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image = _first(image, "url", "link", default="")
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return cls(
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id=str(_first(raw, "id", "uuid", "recipeId", default="")),
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name=str(_first(raw, "name", "title", default="(sans nom)")),
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headline=str(_first(raw, "headline", "subtitle", "description", default="")),
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ingredients=ingredients,
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allergens=allergens,
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tags=tags,
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image_url=str(image or ""),
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prep_time=str(_first(raw, "prepTime", "totalTime", "time", default="")),
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)
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def to_dict(self) -> dict[str, Any]:
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return asdict(self)
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def summary(self) -> dict[str, Any]:
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"""Version compacte pour les réponses MCP (moins de tokens)."""
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return {
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"id": self.id,
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"name": self.name,
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"headline": self.headline,
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"contains_excluded": self.contains_excluded,
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"matched_excludes": self.matched_excludes,
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"score": self.score,
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"tags": self.tags,
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}
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@dataclass
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class Week:
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id: str # handle de semaine, ex. "2026-W25"
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delivery_date: str = ""
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editable: bool = False
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max_selectable: int = 0
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recipes: list[Recipe] = field(default_factory=list)
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@classmethod
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def from_api(cls, raw: dict[str, Any], recipes: list[Recipe] | None = None) -> "Week":
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return cls(
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id=str(_first(raw, "id", "week", "handle", "yearWeek", default="")),
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delivery_date=str(_first(raw, "deliveryDate", "date", default="")),
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editable=bool(_first(raw, "editable", "isEditable", "menuEditable", default=False)),
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max_selectable=int(_first(raw, "maxSelectable", "numberOfSelections", default=0) or 0),
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recipes=recipes or [],
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)
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def to_dict(self) -> dict[str, Any]:
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d = asdict(self)
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d["recipes"] = [r.summary() for r in self.recipes]
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return d
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