mirror of
https://github.com/ThearchyHelios/AgentLab.git
synced 2026-11-15 18:22:00 +00:00
ThearchyHelios
9d375f8f1c
「测试 1」按校验提示改好之后仍然跑不完：while 循环配了 1005 轮，每轮是"循环节点 + 循环体"两步，而整次运行的步数上限（max_graph_steps）是 200——跑到 100 轮上下 LangGraph 抛 GraphRecursionError，报错是一段英文，叫人去调一个界面上碰不到的 recursion_limit。 图没写错，是平台自己的两个上限在打架：校验通过，跑到一半才死。 全局上限防的是没人把关的环；loop 节点的 max_iterations 是作者明说的轮数上限。现在循环 按自己的轮数另记一份预算（schema.loop_steps），加在全局上限之上，子图同理。取上界： 一个节点最多跑 Π(包住它的各层循环 max_iterations + 1) 次，嵌套相乘；done 出口之后的 节点只跑一次，不按轮数记账，否则预算虚高、等于没有上限。 没有 loop 节点把关的环（分支连回上游）照旧由全局上限拦住，报错改成中文、说清预算怎么 来的、该怎么改；子图里撞上限报子图自己的名字和步数——以前那段英文会被外层包进 NodeError 原样带出来。 实测：「测试 1」照提示改完，在真沙箱里 1000 轮跑满，25 秒，结果 501500（= 2+3+…+1001）。 测试：test_step_budget 8 条——预算的上界、嵌套相乘、done 之后不记账；全局上限压到 20 步 时循环照样跑满 30 轮；空转的环中文报错；子图里的循环有自己的预算、空转的子图报它自己的 名字。把 runner / 子图的预算换成 0，对应用例确实失败。README 补了常见问题，测试数更新为 470。
732 lines
33 KiB
Python
732 lines
33 KiB
Python
from __future__ import annotations
|
||
|
||
import asyncio
|
||
import contextlib
|
||
import json
|
||
import logging
|
||
import time
|
||
from datetime import datetime, timezone
|
||
from typing import Any
|
||
|
||
from langgraph.checkpoint.sqlite.aio import AsyncSqliteSaver
|
||
from langgraph.errors import GraphRecursionError
|
||
from langgraph.types import Command
|
||
from sqlalchemy import select, update
|
||
|
||
from app.core.bus import bus
|
||
from app.core.config import settings
|
||
from app.core.events import EventType, RunEventModel
|
||
from app.db.base import SessionLocal
|
||
from app.db.models import Approval, Run, RunEvent, Workflow
|
||
from app.engine.compiler import compile_graph, initial_state
|
||
from app.engine.context import NodeError, RunContext
|
||
from app.engine.schema import GraphSpec, loop_steps, topology_of, validate_graph
|
||
|
||
logger = logging.getLogger(__name__)
|
||
|
||
# 流式增量（正文 token、思考 delta）量太大，只做实时推送不落库；
|
||
# 轨迹里正文靠 node.finished 的 preview，思考靠调用结束时的单条 llm.thinking 汇总
|
||
_EPHEMERAL = {EventType.LLM_TOKEN, EventType.LLM_THINKING_DELTA}
|
||
|
||
|
||
class RunManager:
|
||
"""负责一次运行的完整生命周期：启动、串流、中断、恢复、取消。"""
|
||
|
||
def __init__(self) -> None:
|
||
self._tasks: dict[str, asyncio.Task[None]] = {}
|
||
self._checkpointer: AsyncSqliteSaver | None = None
|
||
self._cm: Any = None
|
||
self._semaphore = asyncio.Semaphore(settings.max_concurrent_runs)
|
||
#: 正在关停。此时收到的取消来自关停而不是用户，运行要记成可恢复的中断
|
||
self._closing = False
|
||
#: 已经跑完、正在落状态和封存的运行。关停不去打断它们
|
||
self._finalizing: set[str] = set()
|
||
|
||
# ---------------- 生命周期 ----------------
|
||
|
||
async def setup(self) -> None:
|
||
self._closing = False
|
||
settings.ensure_dirs()
|
||
self._cm = AsyncSqliteSaver.from_conn_string(str(settings.checkpoint_path))
|
||
self._checkpointer = await self._cm.__aenter__()
|
||
# 上次进程被强杀时留下的记录。running 和 queued 要分开处理：
|
||
# running 至少跑过一步、有 checkpoint，可以续；queued 还在排队，
|
||
# 一个 checkpoint 都没写过，"恢复"它只会从 START 用默认值重跑一遍，
|
||
# 还丢掉 run.input——那不是恢复，是伪造一份结果。
|
||
async with SessionLocal() as session:
|
||
await session.execute(
|
||
update(Run)
|
||
.where(Run.status == "running")
|
||
.values(status="interrupted", error="服务重启，运行已挂起，可从断点恢复")
|
||
)
|
||
await session.execute(
|
||
update(Run)
|
||
.where(Run.status == "queued")
|
||
.values(status="failed", error="服务重启时这次运行还在排队，没有可恢复的进度，请重新发起")
|
||
)
|
||
await session.commit()
|
||
|
||
async def shutdown(self) -> None:
|
||
self._closing = True
|
||
# 只等还没结束的：结束了的没什么可等，而且它可能属于另一个事件循环，
|
||
# gather 会直接抛 "future belongs to a different loop"
|
||
pending = [t for t in self._tasks.values() if not t.done()]
|
||
for run_id, task in list(self._tasks.items()):
|
||
# 正在收尾的不打断：状态和封存写到一半，比哪一步都没写更难收拾
|
||
if not task.done() and run_id not in self._finalizing:
|
||
task.cancel()
|
||
await asyncio.gather(*pending, return_exceptions=True)
|
||
self._tasks.clear()
|
||
if self._cm is not None:
|
||
with contextlib.suppress(Exception):
|
||
await self._cm.__aexit__(None, None, None)
|
||
|
||
@property
|
||
def checkpointer(self) -> AsyncSqliteSaver:
|
||
if self._checkpointer is None:
|
||
raise RuntimeError("RunManager 还没初始化")
|
||
return self._checkpointer
|
||
|
||
# ---------------- 事件 ----------------
|
||
|
||
async def _emit(
|
||
self,
|
||
run_id: str,
|
||
event_type: EventType | str,
|
||
*,
|
||
node_id: str | None = None,
|
||
data: dict[str, Any] | None = None,
|
||
persist: bool = True,
|
||
) -> None:
|
||
event = RunEventModel(
|
||
run_id=run_id,
|
||
seq=bus.next_seq(run_id),
|
||
type=EventType(str(event_type)),
|
||
node_id=node_id,
|
||
data=data or {},
|
||
)
|
||
# 先落库，再广播。顺序反过来会漏事件，而且是结构性的漏：
|
||
#
|
||
# 订阅者的完整性靠"读历史 + 接实时"两段拼起来。它先订阅、再读历史，
|
||
# 于是需要这条保证——**提交早于我这次 SELECT 的，在历史里；提交晚于
|
||
# 我这次 SELECT 的，广播也晚于我订阅，在实时流里**。这条保证只有在
|
||
# "提交先于广播"时才成立。
|
||
#
|
||
# 先广播的话，一条在订阅建立之前广播、却在读历史之后才提交的事件，
|
||
# 两边都拿不到。实测跑一次 25ms 的图，六条事件里的 run.started 有
|
||
# 一半几率就这么没了——界面表现为某个节点永远在转圈。
|
||
if persist and event.type not in _EPHEMERAL:
|
||
async with SessionLocal() as session:
|
||
session.add(
|
||
RunEvent(
|
||
run_id=run_id,
|
||
seq=event.seq,
|
||
type=str(event.type),
|
||
node_id=event.node_id,
|
||
ts=event.ts,
|
||
data=event.data,
|
||
)
|
||
)
|
||
await session.execute(
|
||
update(Run).where(Run.id == run_id).values(last_seq=event.seq)
|
||
)
|
||
await session.commit()
|
||
await bus.publish(event)
|
||
|
||
async def note(
|
||
self, run_id: str, event_type: EventType | str, *, node_id: str | None = None,
|
||
**data: Any,
|
||
) -> None:
|
||
"""给 API 层用的事件入口（比如 formal 启动时记录口径升版处置）。"""
|
||
await self._emit(run_id, event_type, node_id=node_id, data=data)
|
||
|
||
# ---------------- 启动 ----------------
|
||
|
||
async def start(
|
||
self,
|
||
*,
|
||
graph: dict[str, Any],
|
||
input_payload: dict[str, Any],
|
||
workflow_id: str | None = None,
|
||
workflow_name: str = "",
|
||
memory_scope: str = "default",
|
||
collection: str = "default",
|
||
run_class: str = "exploratory",
|
||
version: int | None = None,
|
||
version_hash: str | None = None,
|
||
started_by: str | None = None,
|
||
) -> Run:
|
||
spec = GraphSpec.model_validate(graph)
|
||
report = validate_graph(spec)
|
||
if not report.ok:
|
||
raise ValueError(
|
||
"图校验未通过：" + "；".join(i.message for i in report.issues if i.level == "error")
|
||
)
|
||
|
||
async with SessionLocal() as session:
|
||
run = Run(
|
||
workflow_id=workflow_id,
|
||
workflow_name=workflow_name,
|
||
status="queued",
|
||
graph=graph,
|
||
input=input_payload,
|
||
run_class=run_class,
|
||
version=version,
|
||
version_hash=version_hash,
|
||
started_by=started_by,
|
||
)
|
||
run.thread_id = run.id # 一个 run 一条 checkpoint 线程
|
||
session.add(run)
|
||
await session.commit()
|
||
await session.refresh(run)
|
||
|
||
self._tasks[run.id] = asyncio.create_task(
|
||
self._drive(
|
||
run.id,
|
||
spec,
|
||
initial_state(input_payload),
|
||
workflow_id=workflow_id,
|
||
memory_scope=memory_scope,
|
||
collection=collection,
|
||
)
|
||
)
|
||
return run
|
||
|
||
async def resume(
|
||
self, run_id: str, response: Any, *, approval_id: str | None = None,
|
||
actor: str | None = None,
|
||
) -> Run:
|
||
"""从人工介入的断点继续。
|
||
|
||
两件事以前是错的：
|
||
|
||
一是不看有没有 checkpoint 就发 Command。重启扫描会把 queued（从没跑过、
|
||
没有任何 checkpoint）也标成 interrupted，对这种 run 发 Command，LangGraph
|
||
会拿一个空 state 从 START 重跑整张图——run.input 完全没被注入，最后还落成
|
||
succeeded。跑出来的是一份用默认值算的假结果。
|
||
|
||
二是同一 superstep 里有多个 interrupt 时，只发标量 Command 会让 LangGraph
|
||
直接抛 RuntimeError 打爆整个 run，而所有 pending 审批还都被写成同一个回复。
|
||
现在按 interrupt_id 逐条收集，凑齐了才继续，没凑齐就继续等下一个人回复。
|
||
"""
|
||
async with SessionLocal() as session:
|
||
run = await session.get(Run, run_id)
|
||
if not run:
|
||
raise KeyError(f"找不到运行 {run_id}")
|
||
if run.status not in ("interrupted",):
|
||
raise ValueError(f"当前状态是 {run.status}，无法恢复")
|
||
spec = GraphSpec.model_validate(run.graph)
|
||
workflow_id = run.workflow_id
|
||
|
||
# 先问引擎：这条线程到底停在哪、还等着哪些 interrupt
|
||
run_ctx = RunContext(run_id=run_id, thread_id=run_id, spec=spec, workflow_id=workflow_id)
|
||
app = compile_graph(spec, run_ctx).compile(checkpointer=self.checkpointer)
|
||
config = {"configurable": {"thread_id": run_id}}
|
||
snapshot = await app.aget_state(config)
|
||
waiting = list(getattr(snapshot, "interrupts", None) or [])
|
||
|
||
if not waiting and not getattr(snapshot, "next", None):
|
||
# 没有断点可续。多半是重启时被标成 interrupted 的 queued 运行。
|
||
raise ValueError(
|
||
"这次运行没有可恢复的断点（很可能重启前还没真正开始跑）。"
|
||
"请重新发起一次运行，而不是恢复——继续下去只会用默认值跑出一份假结果。"
|
||
)
|
||
|
||
answers: dict[str, Any] = {}
|
||
async with SessionLocal() as session:
|
||
pending = list((
|
||
await session.execute(
|
||
select(Approval).where(
|
||
Approval.run_id == run_id, Approval.status == "pending"
|
||
)
|
||
)
|
||
).scalars())
|
||
|
||
# 定位这次回复的是哪一条：显式指定优先，否则只在唯一 pending 时才敢猜
|
||
target = None
|
||
if approval_id:
|
||
target = next((a for a in pending if a.id == approval_id), None)
|
||
if target is None:
|
||
raise ValueError(f"审批 {approval_id} 不在待处理列表里")
|
||
elif len(pending) == 1:
|
||
target = pending[0]
|
||
elif len(pending) > 1:
|
||
raise ValueError(
|
||
f"这次运行有 {len(pending)} 条待处理的人工介入，"
|
||
"恢复时必须指定 approval_id 说明回复的是哪一条"
|
||
)
|
||
|
||
now = datetime.now(timezone.utc)
|
||
if target is not None:
|
||
target.status = "answered" # 已回复，但还没提交给引擎
|
||
# 存全文，不能用 _safe 截：多条审批并存时，交给引擎的就是这一份
|
||
# （见下面 answers）。截过的版本会把人工改过的长稿砍掉一截再送进节点
|
||
full = json.loads(json.dumps(response, ensure_ascii=False, default=str))
|
||
target.response = full if isinstance(full, dict) else {"value": full}
|
||
target.resolved_at = now
|
||
if actor:
|
||
target.resolved_by = actor
|
||
await session.commit()
|
||
|
||
# 凑齐没有？引擎还在等的每一个 interrupt 都得有答案
|
||
answered = list((
|
||
await session.execute(
|
||
select(Approval).where(
|
||
Approval.run_id == run_id,
|
||
Approval.status.in_(["answered", "pending"]),
|
||
)
|
||
)
|
||
).scalars())
|
||
by_iid = {a.interrupt_id: a for a in answered if a.interrupt_id}
|
||
missing = []
|
||
for item in waiting:
|
||
iid = getattr(item, "id", None)
|
||
rec = by_iid.get(iid)
|
||
if rec is None or rec.status != "answered":
|
||
missing.append(iid)
|
||
continue
|
||
payload = rec.response or {}
|
||
# 只拆我们自己包的那层 {"value": x}（裸值回复）。带 approved / note / args
|
||
# 的结构体要原样交给节点——以前一律取 value，只要回复里带了内容，
|
||
# 驳回、备注、改过的参数就全在这里丢了
|
||
wrapped = isinstance(payload, dict) and set(payload) == {"value"}
|
||
answers[iid] = payload["value"] if wrapped else payload
|
||
|
||
if missing:
|
||
# 还差人没回。保持 interrupted，把已回复的那条留在 answered 上等齐
|
||
await session.commit()
|
||
run = await session.get(Run, run_id)
|
||
return run
|
||
|
||
# 齐了：正式落 resolved，然后驱动引擎
|
||
for rec in answered:
|
||
if rec.status == "answered":
|
||
rec.status = "resolved"
|
||
run = await session.get(Run, run_id)
|
||
bus.set_seq(run_id, run.last_seq)
|
||
run.status = "running"
|
||
run.error = None
|
||
await session.commit()
|
||
await session.refresh(run)
|
||
|
||
# 单个 interrupt 用标量（LangGraph 两种都认），多个必须用 {interrupt_id: value} 映射。
|
||
#
|
||
# 一个都没在等：这是服务重启时停下的运行（启动扫描或关停时标成 interrupted），
|
||
# 只能从断点接着跑（输入传 None）。以前这里照样发 Command(resume=…)——那个值
|
||
# 会被后面遇到的第一个 interrupt() 当成答复，一个还没轮到的人工关卡就这么被
|
||
# 自动作答了；当前版本的 LangGraph 则直接在内部崩掉。两样都不是"接着跑"
|
||
command: Command | None
|
||
if not waiting:
|
||
command = None
|
||
elif len(waiting) == 1:
|
||
command = Command(resume=response)
|
||
else:
|
||
command = Command(resume=answers)
|
||
await self._emit(run_id, EventType.RUN_RESUMED, data=(
|
||
{"message": "服务重启时中断的运行，从断点接着跑"} if command is None
|
||
else {"response": _safe(response)}
|
||
))
|
||
self._tasks[run_id] = asyncio.create_task(
|
||
self._drive(run_id, spec, command, workflow_id=workflow_id)
|
||
)
|
||
return run
|
||
|
||
async def continue_failed(
|
||
self, run_id: str, *, graph: dict[str, Any] | None = None, actor: str | None = None
|
||
) -> Run:
|
||
"""从失败的地方接着跑，而不是整张图从头来一遍。
|
||
|
||
为什么值得单独开这条路：库里 28 条 failed 里，模型 id 写错、401、循环
|
||
条件语法错、缺必填输入加起来占了大半——全是**配置错了**，改一下就能跑。
|
||
而现在"改一下再跑"意味着前面花两分钟查完的表结构、跑完的 SQL 全部重来。
|
||
checkpointer 一直开着（thread_id = run_id），那些结果本来就在库里躺着。
|
||
|
||
graph 可以带一张改过的图，但只准改配置：节点 id、类型、连线必须和原来
|
||
一模一样。checkpoint 是按节点名存的，改了结构就对不上，续下去会拿着
|
||
错位的通道状态跑出一份似是而非的结果——那比直接报错糟得多。
|
||
"""
|
||
async with SessionLocal() as session:
|
||
run = await session.get(Run, run_id)
|
||
if not run:
|
||
raise KeyError(f"找不到运行 {run_id}")
|
||
if run.status != "failed":
|
||
raise ValueError(
|
||
f"当前状态是 {run.status}，只有失败的运行能接着跑。"
|
||
"（等人工介入的用恢复，已完成的重新发起一次。）"
|
||
)
|
||
spec = GraphSpec.model_validate(run.graph)
|
||
workflow_id = run.workflow_id
|
||
|
||
if graph is not None:
|
||
revised = GraphSpec.model_validate(graph)
|
||
if topology_of(revised) != topology_of(spec):
|
||
raise ValueError(
|
||
"接着跑只能改节点配置，不能增删节点或改连线——"
|
||
"断点是按节点名存的，结构变了就对不上了。"
|
||
"要改结构请重新发起一次运行。"
|
||
)
|
||
report = validate_graph(revised)
|
||
if not report.ok:
|
||
first = next((i.message for i in report.issues if i.level == "error"), "")
|
||
raise ValueError(f"改过的图没有通过校验：{first}")
|
||
spec = revised
|
||
|
||
# 先问引擎到底停在哪。没有待跑的节点就不是"能接着跑"的情形——
|
||
# 硬发一个 None 下去，LangGraph 会从 START 重跑整张图
|
||
run_ctx = RunContext(run_id=run_id, thread_id=run_id, spec=spec, workflow_id=workflow_id)
|
||
app = compile_graph(spec, run_ctx).compile(checkpointer=self.checkpointer)
|
||
config = {"configurable": {"thread_id": run_id}}
|
||
snapshot = await app.aget_state(config)
|
||
pending = [str(n) for n in (getattr(snapshot, "next", None) or [])]
|
||
if not pending:
|
||
raise ValueError(
|
||
"这次运行没有留下可以接着跑的断点（多半是还没跑到第一个节点就挂了）。"
|
||
"请重新发起一次运行——继续下去只会从头跑一遍，还看不出来。"
|
||
)
|
||
|
||
done = [n for n in (snapshot.values or {}).get("nodes", {}) if n not in pending]
|
||
async with SessionLocal() as session:
|
||
run = await session.get(Run, run_id)
|
||
bus.set_seq(run_id, run.last_seq)
|
||
run.status = "running"
|
||
run.error = None
|
||
if graph is not None:
|
||
run.graph = spec.model_dump(mode="json")
|
||
if actor:
|
||
run.started_by = actor
|
||
await session.commit()
|
||
await session.refresh(run)
|
||
|
||
labels = {n.id: n.title for n in spec.nodes}
|
||
await self._emit(
|
||
run_id, EventType.RUN_RESUMED,
|
||
data={
|
||
"from": pending,
|
||
# 说清楚"哪些没重来"——否则用户看到时间线又动起来，
|
||
# 分不清这次是接着跑还是整张图又跑了一遍
|
||
"message": f"从「{labels.get(pending[0], pending[0])}」接着跑"
|
||
+ (f"，前面 {len(done)} 个节点的结果保留" if done else ""),
|
||
},
|
||
)
|
||
self._tasks[run_id] = asyncio.create_task(
|
||
self._drive(run_id, spec, None, workflow_id=workflow_id)
|
||
)
|
||
return run
|
||
|
||
async def cancel(self, run_id: str) -> bool:
|
||
task = self._tasks.get(run_id)
|
||
if task and not task.done():
|
||
task.cancel()
|
||
return True
|
||
return False
|
||
|
||
def is_active(self, run_id: str) -> bool:
|
||
task = self._tasks.get(run_id)
|
||
return bool(task and not task.done())
|
||
|
||
# ---------------- 执行 ----------------
|
||
|
||
async def _drive(
|
||
self,
|
||
run_id: str,
|
||
spec: GraphSpec,
|
||
payload: Any,
|
||
*,
|
||
workflow_id: str | None = None,
|
||
memory_scope: str = "default",
|
||
collection: str = "default",
|
||
) -> None:
|
||
started = time.perf_counter()
|
||
status = "succeeded"
|
||
error: str | None = None
|
||
final_state: dict[str, Any] = {}
|
||
|
||
deadline: asyncio.Timeout | None = None
|
||
async with self._semaphore:
|
||
try:
|
||
async with SessionLocal() as session:
|
||
await session.execute(
|
||
update(Run)
|
||
.where(Run.id == run_id)
|
||
.values(status="running", started_at=datetime.now(timezone.utc))
|
||
)
|
||
await session.commit()
|
||
await self._emit(
|
||
run_id,
|
||
EventType.RUN_STARTED,
|
||
data={"nodes": len(spec.nodes),
|
||
"resumed": payload is None or isinstance(payload, Command)},
|
||
)
|
||
|
||
run_ctx = RunContext(
|
||
run_id=run_id,
|
||
thread_id=run_id,
|
||
spec=spec,
|
||
workflow_id=workflow_id,
|
||
memory_scope=memory_scope,
|
||
collection=collection,
|
||
)
|
||
app = compile_graph(spec, run_ctx).compile(checkpointer=self.checkpointer)
|
||
# 循环按自己声明的轮数另记一份预算，全局上限只管没人把关的环
|
||
extra_steps = loop_steps(spec)
|
||
config = {
|
||
"configurable": {"thread_id": run_id},
|
||
"recursion_limit": settings.max_graph_steps + extra_steps,
|
||
}
|
||
|
||
interrupted = False
|
||
# 单次执行的墙钟上限。以前 max_run_seconds 只存在于配置里，没有任何
|
||
# 代码执行它——一个挂住的模型或工具能把运行和它占着的并发名额一直拖着。
|
||
# 按"这一段执行"计：等人工审批时 _drive 已经结束，那段时间不算。
|
||
deadline = asyncio.timeout(settings.max_run_seconds)
|
||
async with deadline:
|
||
async for mode, chunk in app.astream(
|
||
payload, config=config, stream_mode=["custom", "updates"]
|
||
):
|
||
if mode == "custom":
|
||
await self._handle_custom(run_id, chunk)
|
||
elif mode == "updates":
|
||
if await self._handle_updates(run_id, chunk):
|
||
interrupted = True
|
||
|
||
snapshot = await app.aget_state(config)
|
||
final_state = dict(snapshot.values or {})
|
||
if interrupted or snapshot.interrupts:
|
||
status = "interrupted"
|
||
elif snapshot.next:
|
||
status = "interrupted"
|
||
|
||
except asyncio.CancelledError:
|
||
if self._closing:
|
||
# 服务关停（dev.sh 的 --reload 改一个文件就是一次）不是用户取消。
|
||
# checkpoint 完好，记成中断、重启后从断点接着跑——和强杀后启动
|
||
# 扫描的处理一致。以前一律记"用户取消"，resume 和 continue 都拒绝它
|
||
status = "interrupted"
|
||
error = "服务重启，运行已挂起，可从断点恢复"
|
||
await self._emit(run_id, EventType.LOG, data={
|
||
"level": "warn", "code": "server_shutdown",
|
||
"message": "服务关停时这次运行还在跑，已挂起；重启后可以从断点接着跑",
|
||
})
|
||
else:
|
||
status = "cancelled"
|
||
error = "用户取消"
|
||
await self._emit(run_id, EventType.RUN_CANCELLED, data={})
|
||
raise
|
||
except TimeoutError as e:
|
||
status = "failed"
|
||
if deadline is not None and deadline.expired():
|
||
error = (
|
||
f"这次执行超过了 {settings.max_run_seconds} 秒的上限，已中止。"
|
||
"跑得慢的多半是模型或工具没有响应；确实需要更久，调大 AGENTLAB_MAX_RUN_SECONDS"
|
||
)
|
||
else: # 别处抛的超时，不是这道上限——按普通失败说
|
||
error = f"{type(e).__name__}: {e}"
|
||
logger.exception("run %s 失败", run_id)
|
||
await self._emit(run_id, EventType.RUN_FAILED, data={"error": error})
|
||
except GraphRecursionError:
|
||
status = "failed"
|
||
# LangGraph 的原文是英文，还叫人去调 recursion_limit——用户碰不到那个键。
|
||
# 循环的轮数已经另算了预算，走到这里的多半是不归 loop 节点管的环
|
||
error = (
|
||
f"走满了 {settings.max_graph_steps + extra_steps} 步还没跑完，已中止"
|
||
f"（图最大步数 {settings.max_graph_steps}"
|
||
+ (f"，另按循环轮数预留了 {extra_steps} 步" if extra_steps else "") + "）。"
|
||
"多半是有个环在空转：分支连回了上游、却没有 loop 节点给它定轮数上限。"
|
||
"用 loop 节点包住它；确实需要这么多步，调大 AGENTLAB_MAX_GRAPH_STEPS"
|
||
)
|
||
await self._emit(run_id, EventType.RUN_FAILED, data={"error": error})
|
||
except Exception as e: # noqa: BLE001
|
||
status = "failed"
|
||
# NodeError 的 message 本来就是写给人看的（"人工驳回：…"），
|
||
# 再套一层类型名只会让界面上的错误更难读
|
||
error = str(e) if isinstance(e, NodeError) else f"{type(e).__name__}: {e}"
|
||
logger.exception("run %s 失败", run_id)
|
||
await self._emit(run_id, EventType.RUN_FAILED, data={"error": error})
|
||
finally:
|
||
elapsed = int((time.perf_counter() - started) * 1000)
|
||
self._finalizing.add(run_id)
|
||
try:
|
||
await self._finalize(run_id, status, error, final_state, elapsed)
|
||
finally:
|
||
# 收尾被打断（关停时的取消、库连接出错）也得把自己摘掉。以前写在
|
||
# _finalize 后面，一被打断就漏掉，留下的任务让下一次 shutdown 的
|
||
# gather 在别的事件循环里炸开
|
||
self._finalizing.discard(run_id)
|
||
self._tasks.pop(run_id, None)
|
||
# 运行到终态就把沙箱会话收掉。thread_id 每个 run 都是新的，
|
||
# 不收的话每跑一次带代码节点的图就多一台常驻 microVM（几百 MB），
|
||
# 而且没有任何自动回收路径会碰它——闲置回收只在"下次有人执行
|
||
# 代码"时才触发。interrupted 要留着，人回来还得接着跑。
|
||
if status in ("succeeded", "failed", "cancelled"):
|
||
with contextlib.suppress(Exception):
|
||
from app.sandbox.manager import sandbox_manager
|
||
|
||
await sandbox_manager.cleanup(run_id)
|
||
|
||
async def _handle_custom(self, run_id: str, chunk: Any) -> None:
|
||
"""节点通过 get_stream_writer 发来的事件。"""
|
||
if not isinstance(chunk, dict) or not chunk.get("__agentlab__"):
|
||
return
|
||
await self._emit(
|
||
run_id,
|
||
chunk.get("type", EventType.LOG),
|
||
node_id=chunk.get("node_id"),
|
||
data=chunk.get("data") or {},
|
||
)
|
||
|
||
async def _handle_updates(self, run_id: str, chunk: Any) -> bool:
|
||
"""LangGraph 的状态更新。这里只关心中断信号 —— 节点级事件已经由 custom 流覆盖。"""
|
||
if not isinstance(chunk, dict):
|
||
return False
|
||
interrupts = chunk.get("__interrupt__")
|
||
if not interrupts:
|
||
return False
|
||
|
||
for item in interrupts:
|
||
value = getattr(item, "value", item)
|
||
interrupt_id = getattr(item, "id", None)
|
||
payload = value if isinstance(value, dict) else {"value": value}
|
||
async with SessionLocal() as session:
|
||
existing = (
|
||
await session.execute(
|
||
select(Approval).where(
|
||
Approval.run_id == run_id,
|
||
Approval.interrupt_id == interrupt_id,
|
||
Approval.status == "pending",
|
||
)
|
||
)
|
||
).scalar_one_or_none()
|
||
if existing is None:
|
||
session.add(
|
||
Approval(
|
||
run_id=run_id,
|
||
node_id=str(payload.get("node_id") or ""),
|
||
interrupt_id=interrupt_id,
|
||
mode=str(payload.get("mode") or "approve"),
|
||
title=str(payload.get("title") or "需要你确认"),
|
||
payload=payload,
|
||
schema_=payload.get("schema") or {},
|
||
)
|
||
)
|
||
await session.commit()
|
||
await self._emit(
|
||
run_id,
|
||
EventType.RUN_INTERRUPTED,
|
||
node_id=payload.get("node_id"),
|
||
data={"interrupt_id": interrupt_id, "payload": _safe(payload)},
|
||
)
|
||
return True
|
||
|
||
async def _finalize(
|
||
self,
|
||
run_id: str,
|
||
status: str,
|
||
error: str | None,
|
||
state: dict[str, Any],
|
||
elapsed_ms: int,
|
||
) -> None:
|
||
usage = dict(state.get("usage") or {})
|
||
usage["duration_ms"] = elapsed_ms
|
||
output = dict(state.get("output") or {})
|
||
|
||
async with SessionLocal() as session:
|
||
run = await session.get(Run, run_id)
|
||
if run:
|
||
run.status = status
|
||
run.error = error
|
||
run.output = output
|
||
run.usage = usage
|
||
if status != "interrupted":
|
||
run.finished_at = datetime.now(timezone.utc)
|
||
await session.commit()
|
||
|
||
if status == "succeeded":
|
||
await self._emit(
|
||
run_id,
|
||
EventType.RUN_FINISHED,
|
||
data={"output": _safe(output), "usage": usage, "duration_ms": elapsed_ms},
|
||
)
|
||
if status != "interrupted":
|
||
# 终态事件落库之后再封存。以前在 run.finished 之前算，清单里恰恰少了
|
||
# 那条宣布"跑完了、成果是什么"的事件——改它的成果，清单照样对得上。
|
||
# 中断态不封：事件还会继续追加
|
||
await self._seal(run_id)
|
||
if status in ("succeeded", "failed", "cancelled"):
|
||
await bus.close(run_id)
|
||
|
||
async def _seal(self, run_id: str) -> None:
|
||
"""对到此为止的全部事件算清单哈希，记下封到了哪一条。"""
|
||
from app.core.artifact_store import manifest_hash as _manifest
|
||
|
||
async with SessionLocal() as session:
|
||
run = await session.get(Run, run_id)
|
||
if run is None:
|
||
return
|
||
rows = [tuple(r) for r in await session.execute(
|
||
select(RunEvent.seq, RunEvent.type, RunEvent.node_id, RunEvent.data)
|
||
.where(RunEvent.run_id == run_id)
|
||
.order_by(RunEvent.seq)
|
||
)]
|
||
run.manifest_hash = _manifest(rows)
|
||
run.manifest_seq = rows[-1][0] if rows else 0
|
||
await session.commit()
|
||
|
||
|
||
_TERMINAL = (EventType.RUN_FINISHED, EventType.RUN_FAILED, EventType.RUN_CANCELLED)
|
||
|
||
|
||
async def verify_manifest(run_id: str) -> dict[str, Any]:
|
||
"""重算封存范围内的清单哈希，和封存时记下的对一下。
|
||
|
||
以前只写不验：README 说"事后修改流水将无法对齐"，可仓库里没有一行代码去对。
|
||
封存范围之后追加的事件不参与核对。没有 manifest_seq 的是加这一列之前封存的
|
||
老运行——当时的哈希是在 run.finished 落库之前算的，按那时的口径还原范围。
|
||
"""
|
||
from app.core.artifact_store import manifest_hash as _manifest
|
||
|
||
async with SessionLocal() as session:
|
||
run = await session.get(Run, run_id)
|
||
if run is None:
|
||
raise KeyError(f"找不到运行 {run_id}")
|
||
if not run.manifest_hash:
|
||
return {"sealed": False, "ok": None,
|
||
"message": "这次运行还没有封存（没跑完，或者停在人工介入）"}
|
||
rows = [tuple(r) for r in await session.execute(
|
||
select(RunEvent.seq, RunEvent.type, RunEvent.node_id, RunEvent.data)
|
||
.where(RunEvent.run_id == run_id)
|
||
.order_by(RunEvent.seq)
|
||
)]
|
||
expected, sealed_at = run.manifest_hash, run.manifest_seq
|
||
|
||
legacy = sealed_at is None
|
||
if legacy:
|
||
last = next((r for r in reversed(rows) if r[1] in _TERMINAL), None)
|
||
if last is None:
|
||
sealed_at = rows[-1][0] if rows else 0
|
||
elif last[1] == EventType.RUN_FINISHED:
|
||
sealed_at = last[0] - 1 # 老口径：run.finished 本身不在清单里
|
||
else:
|
||
sealed_at = last[0] # run.failed / run.cancelled 在封存前就落库了
|
||
covered = [r for r in rows if r[0] <= sealed_at]
|
||
ok = _manifest(covered) == expected
|
||
return {
|
||
"sealed": True, "ok": ok, "events": len(covered), "sealed_at": sealed_at, "legacy": legacy,
|
||
"message": "事件流与封存时一致" if ok else "事件流和封存时对不上：封存之后有事件被改过、删过或插过",
|
||
}
|
||
|
||
|
||
def _safe(value: Any, limit: int = 4000) -> Any:
|
||
"""把任意对象裁剪成能安全放进事件负载的形状。"""
|
||
if isinstance(value, str):
|
||
return value[:limit]
|
||
if isinstance(value, dict):
|
||
return {k: _safe(v, limit // 2) for k, v in list(value.items())[:50]}
|
||
if isinstance(value, list):
|
||
return [_safe(v, limit // 2) for v in value[:50]]
|
||
if isinstance(value, (int, float, bool)) or value is None:
|
||
return value
|
||
return str(value)[:limit]
|
||
|
||
|
||
run_manager = RunManager()
|