135 lines
5.4 KiB
Python
135 lines
5.4 KiB
Python
"""异步执行与恢复大屏任务，当前使用单进程内存检查点"""
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from contextlib import aclosing
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from uuid import uuid4
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from langgraph.types import Command
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from loguru import logger
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from app.core.exceptions import BizException
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from app.observability.tracing import astream_screen
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from app.schemas.agent import AgentResult, ResumeRequest
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from app.schemas.request import DesignRequest
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class AgentService:
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def __init__(self, graph):
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self.graph = graph
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self._active: set[str] = set()
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def _prepare_run(self, request: DesignRequest):
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# 新请求始终独立建任务，不用 conversation_id 充当检查点 ID
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thread_id = str(uuid4())
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# 暂无会话创建接口，未传会话 ID 时先分配标识，不创建数据库记录
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conversation_id = request.context.conversation_id or str(uuid4())
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payload = request.model_dump(mode="json")
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payload["context"]["conversation_id"] = conversation_id
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return (
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thread_id,
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{
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"request": payload,
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"conversation_id": conversation_id,
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"thread_id": thread_id,
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"message_id": str(uuid4()),
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},
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conversation_id,
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)
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def stream_run(self, request: DesignRequest):
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execution = self._prepare_run(request)
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self._claim(execution[0])
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return execution
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async def prepare_resume(self, request: ResumeRequest):
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# 在发送流响应头之前完成校验并占用任务
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thread_id = str(request.thread_id)
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# 检查和占用之间没有 await，同一事件循环内不会重复进入
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self._claim(thread_id)
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try:
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snapshot = await self.graph.aget_state(
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{"configurable": {"thread_id": thread_id}}
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)
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if not snapshot.values:
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raise BizException(404, "任务不存在或已过期")
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if not any(task.interrupts for task in snapshot.tasks):
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raise BizException(409, "任务当前未等待用户补充")
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# 恢复前校验选项，避免无效回答消耗一次 interrupt 恢复
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clarification = snapshot.values["clarification"]
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reply = request.reply
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if (
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not reply.cancel
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and reply.option_id is not None
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and reply.option_id not in {item.id for item in clarification.options}
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):
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raise BizException(422, "请选择当前问题的有效选项")
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conversation_id = snapshot.values["conversation_id"]
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# 恢复同一任务不能切换会话，补充编辑上下文时也保留原会话标识
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if reply.context is not None:
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if reply.context.conversation_id not in (None, conversation_id):
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raise BizException(422, "恢复任务时不能切换会话")
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reply = reply.model_copy(
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update={
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"context": reply.context.model_copy(
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update={"conversation_id": conversation_id}
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)
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}
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)
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# 每次有效补充或取消生成新的输入 ID，任务和会话保持不变
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return (
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thread_id,
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Command(
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resume=reply.model_dump(mode="json"),
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update={"message_id": str(uuid4())},
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),
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conversation_id,
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)
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except BaseException:
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self.release(thread_id)
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raise
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def release(self, thread_id):
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self._active.discard(thread_id)
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def _claim(self, thread_id: str) -> None:
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if thread_id in self._active:
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raise BizException(409, "任务正在执行，请勿重复提交")
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self._active.add(thread_id)
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@staticmethod
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def _result(state, thread_id):
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waiting = bool(state.get("__interrupt__"))
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# 只交付校验通过的完整动作批次，失败草稿留在后端
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deliver = state["status"] == "completed" and state.get("validation_passed")
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return AgentResult(
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conversation_id=state["conversation_id"],
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thread_id=thread_id,
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message_id=state["message_id"],
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status="waiting_for_input" if waiting else state["status"],
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actions=state["actions"] if deliver else [],
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answer=state.get("answer"),
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clarification=state.get("clarification") if waiting else None,
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failure_reason=state.get("failure_reason"),
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)
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async def stream(self, thread_id, payload, session_id):
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"""消费图事件，完整状态只用于整理最终结果，不直接暴露给客户端"""
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state = None
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with logger.contextualize(thread_id=thread_id):
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async with aclosing(
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astream_screen(
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self.graph, payload, thread_id=thread_id, session_id=session_id
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)
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) as events:
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async for mode, data in events:
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if mode == "values":
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state = data
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elif data.get("type") == "node_progress" and data.get("label"):
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yield "progress", data
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if state is None:
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raise RuntimeError("图未返回状态")
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yield "final", self._result(state, thread_id).model_dump(mode="json")
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