"""Modèles de données HelloFresh, indépendants de la forme exacte de l'API interne.

Les dataclasses sont volontairement tolérantes : `Recipe.from_api` mappe au mieux les
champs des réponses gateway (qui varient selon les endpoints découverts) vers une forme
stable utilisée par le filtre et le serveur MCP.
"""

from __future__ import annotations

from dataclasses import dataclass, field, asdict
from typing import Any


def _first(d: dict, *keys, default=None):
    """Renvoie la première clé présente et non vide parmi `keys`."""
    for k in keys:
        v = d.get(k)
        if v not in (None, "", [], {}):
            return v
    return default


@dataclass
class Recipe:
    id: str
    name: str
    headline: str = ""
    ingredients: list[str] = field(default_factory=list)
    allergens: list[str] = field(default_factory=list)
    tags: list[str] = field(default_factory=list)
    image_url: str = ""
    prep_time: str = ""
    # Champs calculés par le filtre (remplis plus tard)
    contains_excluded: bool = False
    matched_excludes: list[str] = field(default_factory=list)
    score: float = 0.0

    @classmethod
    def from_api(cls, raw: dict[str, Any]) -> "Recipe":
        """Construit une Recipe depuis un objet recette brut de l'API gateway.

        Les noms de champs HelloFresh varient ; on tente plusieurs alias. À ajuster
        une fois la forme réelle confirmée via discover_api.py.
        """
        ingredients = []
        for ing in _first(raw, "ingredients", default=[]) or []:
            if isinstance(ing, dict):
                name = _first(ing, "name", "label", "title")
                if name:
                    ingredients.append(str(name))
            elif isinstance(ing, str):
                ingredients.append(ing)

        allergens = []
        for al in _first(raw, "allergens", default=[]) or []:
            if isinstance(al, dict):
                name = _first(al, "name", "label", "title")
                if name:
                    allergens.append(str(name))
            elif isinstance(al, str):
                allergens.append(al)

        tags = []
        for tg in _first(raw, "tags", "labels", default=[]) or []:
            if isinstance(tg, dict):
                name = _first(tg, "name", "label", "text")
                if name:
                    tags.append(str(name))
            elif isinstance(tg, str):
                tags.append(tg)

        image = _first(raw, "imageLink", "image", "imageUrl", "cardLink", default="")
        if isinstance(image, dict):
            image = _first(image, "url", "link", default="")

        return cls(
            id=str(_first(raw, "id", "uuid", "recipeId", default="")),
            name=str(_first(raw, "name", "title", default="(sans nom)")),
            headline=str(_first(raw, "headline", "subtitle", "description", default="")),
            ingredients=ingredients,
            allergens=allergens,
            tags=tags,
            image_url=str(image or ""),
            prep_time=str(_first(raw, "prepTime", "totalTime", "time", default="")),
        )

    def to_dict(self) -> dict[str, Any]:
        return asdict(self)

    def summary(self) -> dict[str, Any]:
        """Version compacte pour les réponses MCP (moins de tokens)."""
        return {
            "id": self.id,
            "name": self.name,
            "headline": self.headline,
            "contains_excluded": self.contains_excluded,
            "matched_excludes": self.matched_excludes,
            "score": self.score,
            "tags": self.tags,
        }


@dataclass
class Week:
    id: str  # handle de semaine, ex. "2026-W25"
    delivery_date: str = ""
    editable: bool = False
    max_selectable: int = 0
    recipes: list[Recipe] = field(default_factory=list)

    @classmethod
    def from_api(cls, raw: dict[str, Any], recipes: list[Recipe] | None = None) -> "Week":
        return cls(
            id=str(_first(raw, "id", "week", "handle", "yearWeek", default="")),
            delivery_date=str(_first(raw, "deliveryDate", "date", default="")),
            editable=bool(_first(raw, "editable", "isEditable", "menuEditable", default=False)),
            max_selectable=int(_first(raw, "maxSelectable", "numberOfSelections", default=0) or 0),
            recipes=recipes or [],
        )

    def to_dict(self) -> dict[str, Any]:
        d = asdict(self)
        d["recipes"] = [r.summary() for r in self.recipes]
        return d