"""输入解析与校验，可直接运行本文件修改示例进行调试"""

from app.processor.base import BaseNode
from app.processor.state import QueryState
from app.schemas.input_context import InputContext


class InputNode(BaseNode):
    """纯输入节点，不依赖模型配置；校验失败保留 ValidationError"""

    name = "input_node"

    def process(self, state: QueryState) -> QueryState:
        reply = state.get("clarification_reply")
        if reply is not None:
            data = state["input_context"].model_dump(mode="json")
            turn = {
                "question": state["clarification"].question,
                "answer": reply.answer,
            }
            if reply.option_id is not None:
                option = next(
                    option
                    for option in state["clarification"].options
                    if option.id == reply.option_id
                )
                turn["selected_option"] = option.model_dump(mode="json")
            data["clarification_history"].append(turn)
            if reply.screen is not None:
                data["screen"] = reply.screen.model_dump(mode="json")
                # 新快照不沿用可能已经失效的选中节点
                if reply.context is None:
                    data["context"]["selected_node_ids"] = []
                    data["context"]["screen_revision"] = None
            if reply.context is not None:
                data["context"] = reply.context.model_dump(mode="json")
            context = InputContext.model_validate(data)
            # 显式清空旧推导结果，LangGraph 的状态合并不会删除省略字段
            return {
                **state,
                "input_context": context,
                "clarification_reply": None,
                "intent_decision": None,
                "intent": None,
                "requirement": None,
                "clarification": None,
                "status": "running",
            }
        # 深拷贝隔离原始请求，后续修改上下文不会改变提交时的快照
        context = InputContext.model_validate(state["request"]).model_copy(deep=True)
        updated_state: QueryState = {**state, "input_context": context}
        return updated_state


if __name__ == "__main__":
    import json

    # 1. 创建 state：可将 screen 替换成前端的完整大屏 JSON
    state: QueryState = {
        "request": {
            "prompt": "把销售额统计向右移动 50px",
            "screen": {
                "canvas": {
                    "width": 1920,
                    "height": 1080,
                    "backgroundColor": "#ffffff10",
                },
                "nodes": [
                    {
                        "id": "sales-chart",
                        "type": "bar-chart",
                        "name": "销售额统计",
                        "layout": {"x": 26, "y": 34.8, "width": 400, "height": 260},
                        "props": {"option": {"title": {"text": "销售额统计"}}},
                    }
                ],
                "dataSource": [],
            },
            "context": {"selected_node_ids": ["sales-chart"]},
            "attachments": [],
        }
    }

    # 2. 执行节点
    node = InputNode()
    final_state = node.process(state)

    # 3. 打印完整状态
    printable_state = {
        **final_state,
        "input_context": final_state["input_context"].model_dump(
            mode="json", exclude_unset=True
        ),
    }
    print(json.dumps(printable_state, ensure_ascii=False, indent=2))