85 lines
3.5 KiB
Python
85 lines
3.5 KiB
Python
"""输入 → 意图（是不是明确的问答）→ 问答节点或 screen agent；agent 追问时暂停等待用户"""
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import inspect
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from langgraph.checkpoint.memory import InMemorySaver
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from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
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from langgraph.graph import END, StateGraph
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from app.processor.nodes.input_node import InputNode
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from app.processor.nodes.intent_node import IntentNode
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from app.processor.nodes.qa_node import QANode
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from app.processor.nodes.screen_agent_node import ScreenAgentNode
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from app.processor.nodes.wait_for_user_node import WaitForUserNode
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from app.processor.state import QueryState, RunContext
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def build_checkpoint_serde() -> JsonPlusSerializer:
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# 允许恢复状态中使用的业务模型类型，使检查点读取后仍可按模型对象访问字段
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# 内存与持久化检查点共用，否则持久化读回的状态无法还原为模型对象
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return JsonPlusSerializer(
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allowed_msgpack_modules=[
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("app.schemas.input_context", "InputContext"),
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("app.schemas.decision", "DecisionResponse"),
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("app.schemas.actions.add", "AddAction"),
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("app.schemas.actions.delete", "DeleteAction"),
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("app.schemas.actions.move", "MoveAction"),
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("app.schemas.actions.resize", "ResizeAction"),
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("app.schemas.actions.update", "UpdateAction"),
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("app.schemas.actions.update_canvas", "UpdateCanvasAction"),
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("app.schemas.actions.set_interaction", "SetInteractionAction"),
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("app.schemas.clarification", "Clarification"),
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("app.schemas.clarification_reply", "ClarificationReply"),
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]
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)
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def route_after_intent(state: QueryState) -> str:
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return "qa_node" if state["intent"] == "qa" else "screen_agent_node"
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def route_after_agent(state: QueryState) -> str:
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return "wait_for_user_node" if state["status"] == "waiting_for_input" else END
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def route_after_wait(state: QueryState) -> str:
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# 用户回答后回到输入节点合并上下文，取消则结束
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return "input_node" if state["status"] == "running" else END
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def build_graph(checkpointer=None):
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workflow = StateGraph(QueryState, context_schema=RunContext)
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nodes = {
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"input_node": InputNode(),
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"intent_node": IntentNode(),
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"qa_node": QANode(),
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"screen_agent_node": ScreenAgentNode(),
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"wait_for_user_node": WaitForUserNode(),
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}
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for node_name, node in nodes.items():
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# 异步节点使用 BaseNode 的异步入口，保留统一的日志和进度封装
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action = node._acall if inspect.iscoroutinefunction(node.process) else node
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workflow.add_node(node_name, action)
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workflow.set_entry_point("input_node")
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workflow.add_edge("input_node", "intent_node")
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workflow.add_conditional_edges(
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"intent_node",
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route_after_intent,
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{"qa_node": "qa_node", "screen_agent_node": "screen_agent_node"},
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)
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workflow.add_edge("qa_node", END)
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workflow.add_conditional_edges(
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"screen_agent_node",
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route_after_agent,
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{"wait_for_user_node": "wait_for_user_node", END: END},
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)
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workflow.add_conditional_edges(
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"wait_for_user_node", route_after_wait, {"input_node": "input_node", END: END}
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)
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# 调用方未提供检查点存储时使用进程内存，支持暂停恢复，进程退出后不保留
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if checkpointer is None:
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checkpointer = InMemorySaver(serde=build_checkpoint_serde())
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return workflow.compile(checkpointer=checkpointer)
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