"""整理澄清问题，等待用户补充"""

import json

from langchain_core.messages import HumanMessage, SystemMessage

from app.clients.llm import get_llm
from app.processor.base import BaseNode
from app.processor.state import QueryState
from app.prompt.clarify import CLARIFY_SYSTEM_PROMPT
from app.schemas.clarification import Clarification


class ClarifyNode(BaseNode):
    name = "clarify_node"

    async def process(self, state: QueryState) -> QueryState:
        updated_state: QueryState = state.copy()
        intent = state["intent"]

        payload = {
            "intent": intent,
            "input_context": state["input_context"].model_dump(mode="json"),
        }

        if intent != "unclear":
            # 以需求节点的问题为依据补齐选项，不重新判断意图
            payload["requirement"] = state["requirement"].model_dump(mode="json")

        llm_client = get_llm(Clarification)
        clarification = await llm_client.ainvoke(
            [
                SystemMessage(content=CLARIFY_SYSTEM_PROMPT),
                HumanMessage(content=json.dumps(payload, ensure_ascii=False)),
            ]
        )

        updated_state["clarification"] = clarification
        return updated_state


if __name__ == "__main__":
    import asyncio
    import json

    from pydantic import BaseModel

    from app.clients.decision import close_decision_engine
    from app.observability.tracing import ainvoke_screen, flush_tracing
    from app.processor.graph import query_app

    async def main():
        # 修改请求，通过完整流程测试澄清分支
        state: QueryState = {
            "request": {
                "prompt": "这个图不太对",
                "screen": {"canvas": {"width": 1920, "height": 1080}, "nodes": []},
            }
        }
        try:
            final_state = await ainvoke_screen(
                query_app, state, thread_id="clarify-test"
            )
        finally:
            await close_decision_engine()
            flush_tracing()
        print(
            json.dumps(
                {
                    key: value.model_dump(mode="json")
                    if isinstance(value, BaseModel)
                    else value
                    for key, value in final_state.items()
                },
                ensure_ascii=False,
                indent=2,
                default=str,
            )
        )

    asyncio.run(main())