Files
AgentLab/backend/app/engine/runner.py
T
ThearchyHelios 2df591d05f 工件库:内容寻址存储、节点输出与工具快照落盘、运行清单哈希
事件流里的输出是给画布看的截断预览,出具溯源需要完整证据。
新增 data/artifacts/ 内容寻址工件库(sha256 即地址,取回时复验哈希,
篡改即报错);节点完整输出与工具调用快照(query+结果集)自动落盘,
事件只携带工件 id。运行终态对全部事件计算清单哈希存入 Run,
事后对事件流的增删改会与它对不上。

graph_hash 剔除 viewport 后计算——挪画布不改变图的身份。
Run/Workflow/WorkflowVersion/Approval 预置分级与治理列,
init_db 附带 SQLite 轻量列迁移。
2026-09-14 10:10:20 +08:00

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from __future__ import annotations
import asyncio
import contextlib
import logging
import time
from datetime import datetime, timezone
from typing import Any
from langgraph.checkpoint.sqlite.aio import AsyncSqliteSaver
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 RunContext
from app.engine.schema import GraphSpec, validate_graph
logger = logging.getLogger(__name__)
# token 事件量太大,只做实时推送不落库;回放时用节点的输出摘要重建时间线
_EPHEMERAL = {EventType.LLM_TOKEN}
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)
# ---------------- 生命周期 ----------------
async def setup(self) -> None:
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 running 记录,标成中断态而不是永远转圈
async with SessionLocal() as session:
await session.execute(
update(Run)
.where(Run.status.in_(["running", "queued"]))
.values(status="interrupted", error="服务重启,运行已挂起,可从断点恢复")
)
await session.commit()
async def shutdown(self) -> None:
for task in list(self._tasks.values()):
task.cancel()
await asyncio.gather(*self._tasks.values(), return_exceptions=True)
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 {},
)
await bus.publish(event)
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()
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) -> Run:
"""从人工介入的断点继续。"""
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)
bus.set_seq(run_id, run.last_seq)
run.status = "running"
run.error = None
# 把这次恢复对应的待审批记录结掉,前端的待办列表才不会一直挂着
pending = (
await session.execute(
select(Approval).where(
Approval.run_id == run_id, Approval.status == "pending"
)
)
).scalars()
for approval in pending:
approval.status = "resolved"
approval.response = _safe(response) if isinstance(response, dict) else {"value": _safe(response)}
approval.resolved_at = datetime.now(timezone.utc)
await session.commit()
await session.refresh(run)
await self._emit(run_id, EventType.RUN_RESUMED, data={"response": _safe(response)})
self._tasks[run_id] = asyncio.create_task(
self._drive(run_id, spec, Command(resume=response), workflow_id=run.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] = {}
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": 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)
config = {
"configurable": {"thread_id": run_id},
"recursion_limit": settings.max_graph_steps,
}
interrupted = False
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:
status = "cancelled"
error = "用户取消"
await self._emit(run_id, EventType.RUN_CANCELLED, data={})
raise
except Exception as e: # noqa: BLE001
status = "failed"
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})
finally:
elapsed = int((time.perf_counter() - started) * 1000)
await self._finalize(run_id, status, error, final_state, elapsed)
self._tasks.pop(run_id, None)
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)
# 终态时对全部已落库事件计算清单哈希:事后任何对事件流的
# 增删改都会与这个值对不上。中断态不算——事件还会继续追加。
from app.core.artifact_store import manifest_hash as _manifest
rows = 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([tuple(r) for r in rows])
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 in ("succeeded", "failed", "cancelled"):
await bus.close(run_id)
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()