121 lines
4.1 KiB
Python
121 lines
4.1 KiB
Python
"""
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React 推理节点
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使用 intent.py 进行意图推理
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"""
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from typing import Optional
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from datetime import datetime
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from langchain_core.runnables.config import RunnableConfig
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from backend.app.core.intent import react_reason_async, ReasoningResult, ReasoningAction
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from ..state import MainGraphState
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from backend.app.logger import info
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from ._utils import dispatch_custom_event, make_react_event
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async def react_reason_node(state: MainGraphState, config: Optional[RunnableConfig] = None) -> MainGraphState:
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"""React 模式推理节点：判断下一步做什么"""
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state.current_phase = "react_reasoning"
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state.reasoning_step += 1
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info(f"[推理] 第 {state.reasoning_step} 次推理开始")
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# ==================================================
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# 优化：如果是第一次推理，检查 hybrid_router 的结果！
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# 避免重复推理！
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# ==================================================
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if state.reasoning_step == 1 and state.hybrid_router.decision and state.hybrid_router.decision.reasoning_result:
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# 有保存的推理结果，直接复用！
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decision = state.hybrid_router.decision
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result: ReasoningResult = decision.reasoning_result
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info(f"[推理] 第1次推理，复用 hybrid_router 结果: action={result.action.name}, confidence={result.confidence}")
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if result.reasoning:
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info(f"[推理] 推理过程: {result.reasoning}")
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# 记录推理历史
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state.reasoning_history.append({
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"step": state.reasoning_step,
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"action": result.action.name,
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"confidence": result.confidence,
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"reasoning": result.reasoning,
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"timestamp": datetime.now().isoformat()
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})
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# 更新状态
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state.react_reasoning.last_reasoning = {
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"action": result.action.name,
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"confidence": result.confidence,
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"reasoning": result.reasoning
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}
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state.react_reasoning.reasoning_result = result
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state.last_action = result.action.name
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# 发送推理事件
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await dispatch_custom_event(
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"react_reasoning",
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make_react_event(
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state.reasoning_step,
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result.action.name,
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result.confidence,
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result.reasoning
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),
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config
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)
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return state
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# ==================================================
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# 原来的逻辑（第二次推理或没有保存结果时使用）
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# ==================================================
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# 步骤1: 准备上下文
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context = {
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"retrieved_docs": state.rag_docs,
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"rag_confidence": getattr(state, "rag_confidence", 0.0),
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"rag_attempts": getattr(state, "rag_attempts", 0),
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"previous_actions": [h.get("action") for h in state.reasoning_history],
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"reasoning_history": state.reasoning_history,
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"messages": state.messages,
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"errors": state.errors
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}
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# 步骤2: 执行推理
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result: ReasoningResult = await react_reason_async(state.user_query, context)
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info(f"[推理] 推理结果: action={result.action.name}, confidence={result.confidence}")
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if result.reasoning:
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info(f"[推理] 推理过程: {result.reasoning}")
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# 步骤3: 记录推理历史
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state.reasoning_history.append({
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"step": state.reasoning_step,
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"action": result.action.name,
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"confidence": result.confidence,
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"reasoning": result.reasoning,
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"timestamp": datetime.now().isoformat()
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})
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# 步骤4: 更新状态 - 只使用新的结构化字段
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state.react_reasoning.last_reasoning = {
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"action": result.action.name,
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"confidence": result.confidence,
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"reasoning": result.reasoning
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}
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state.react_reasoning.reasoning_result = result
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state.last_action = result.action.name
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# 步骤5: 发送推理事件
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await dispatch_custom_event(
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"react_reasoning",
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make_react_event(
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state.reasoning_step,
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result.action.name,
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result.confidence,
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result.reasoning
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),
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config
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)
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return state
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