"""解构：给知识片段补上阶段（灵感/选题/脚本）和作用域（五棵树）。"""
from __future__ import annotations

from typing import Optional

from creation_knowledge.integrations.llm import ChatFn, default_chat
from creation_knowledge.models import Deconstruction, KnowledgeItem, Scope
from creation_knowledge.prompts import load_prompt

SYSTEM = "你是严谨的创作知识解构器，按阶段和五棵分类树归类。"

VALID_STAGES = {"灵感", "选题", "脚本"}
VALID_SCOPES = {"substance", "form", "feeling", "effect", "intent"}


def deconstruct_item(
    item: KnowledgeItem,
    *,
    chat: Optional[ChatFn] = None,
    env_file: str = ".env",
) -> Deconstruction:
    chat = chat or default_chat(env_file)
    user = load_prompt("deconstruct").format(
        item=item.model_dump_json(indent=2)
    )
    data = chat(SYSTEM, user)
    stages = [s for s in (data.get("stages") or []) if s in VALID_STAGES]
    scopes = [
        Scope(scope_type=s["scope_type"], value=str(s["value"]).strip())
        for s in (data.get("scopes") or [])
        if isinstance(s, dict) and s.get("scope_type") in VALID_SCOPES and s.get("value")
    ]
    return Deconstruction(
        stages=stages,
        scopes=scopes,
        stage_reason=str(data.get("stage_reason") or ""),
        scope_reason=str(data.get("scope_reason") or ""),
    )