AgentEvalTool/backend/agenteval/evaluation/campaign_runner.py
sinohqb 7eae6de52d refactor(evaluation/storage): 结算统一与 repository 拆分(Phase 2 + 3)
合并两个不可分割的深化:

Phase 2 — 智能作业结算统一(ADR-0012)
- intelligence_jobs.execute(job_kind, campaign_id, ...) 作为结算的
  唯一实现:建行 → 认领 → 校验 → generating → 落账,一处编排、
  一处截断(500 字符)。两个 executor 退化为 ensure_queued /
  validate / work_fn 三个小 adapter。
- analysis.validate_analysis_request() 共享校验入口(活动终态 →
  模型),路由捕获映射 400、executor 捕获落 failed 行,与
  validate_comparison_request 先例同构。
- campaign_runner._auto_start_analysis 的跳过守卫收敛至
  auto_intelligence_eligible 单一判断点。
- comparison.py 删除零调用的 build_comparison_payload;
  load_comparison_view 投影归位至 campaign_read_model。
- 新增 characterization 测试(认领竞争、重复触发、截断、恢复上限)。

Phase 3 — storage/repository.py 拆分
- AsyncJobRepository 及两个子类迁至
  storage/async_job_repository.py(Phase 2 的 intelligence_jobs
  与 comparison 必须 import 自该路径,故与 Phase 2 同 commit)。
- ExplorationSession / ExplorationMessage 迁至
  storage/exploration_repository.py;repository.py 由 1180 行降至
  约 814 行,grep 确认无残留符号。
- exploration 子模块与路由 import 全部更新;测试 import 跟随。

刻意不做:CAS 共享原语、app.py 五 registry 关停顺序归一
(ADR-0006 精神,等真实需求出现再议)。
2026-08-24 05:50:27 +08:00

461 lines
17 KiB
Python

"""Campaign runner — the side-effect shell around the pure scheduler.
Given a campaign and a clock position (real elapsed seconds), it asks
``campaign_scheduler.decide_schedule`` what is due, then durably claims each
plan occurrence before reusing the existing single-run execution path
(``EvalEngine.run`` with an ``existing_run``). Child-Run identities are the
primary idempotency authority; the legacy campaign summary remains a fallback
for pre-identity Runs created before this migration.
``CampaignRuntime`` owns the durable scheduler loop and exposes only lifecycle-
level operations. Clock mapping, reconciliation, ticking, claims and process-
local task handles remain implementation details. All authority lives in the
DB, so loops can be rebuilt on restart without losing or duplicating work.
"""
import asyncio
import logging
from dataclasses import dataclass, field
from datetime import datetime
from typing import Awaitable, Callable, Optional
from sqlmodel import Session
from agenteval.evaluation.campaign_lifecycle import complete_campaign
from agenteval.evaluation.campaign_lifecycle import start_campaign as start_campaign_lifecycle
from agenteval.evaluation.campaign_scheduler import (
TickAction,
clock_offset,
decide_schedule,
decide_tick,
elapsed_seconds,
resolve_finalize,
)
from agenteval.evaluation.engine import EvalEngine
from agenteval.evaluation.intelligence_jobs import auto_intelligence_eligible, enqueue_campaign_analysis
from agenteval.models import (
Campaign,
CampaignStatus,
CampaignSummary,
EvalRun,
RunStatus,
RunTrigger,
Scenario,
SchedulerState,
)
from agenteval.storage.db import get_session, utc_now
from agenteval.storage.repository import (
CampaignRepository,
CampaignRunClaimStatus,
RunRepository,
ScenarioRepository,
TargetRepository,
)
from agenteval.task_registry import TaskRegistry
# Real wall-clock seconds between scheduler ticks. time_scale compresses the
# *window*, not the tick cadence — production 24h campaigns still tick slowly.
DEFAULT_TICK_SECONDS = 1.0
_logger = logging.getLogger("agenteval")
ChildRunExecutor = Callable[[Campaign, Scenario, EvalRun, Session], Awaitable[None]]
@dataclass
class AdvanceResult:
"""Outcome of advancing a campaign's clock once."""
spawned_run_ids: list[str] = field(default_factory=list)
finished: bool = False
@dataclass
class CampaignRecoveryResult:
"""Outcome of reconciling child Runs left by a previous process."""
resumed_run_ids: list[str] = field(default_factory=list)
failed_run_ids: list[str] = field(default_factory=list)
@dataclass(frozen=True)
class CampaignRuntimeRecovery:
"""Durable Campaign work reconciled during process startup."""
interrupted_runs: int = 0
resumed_campaigns: int = 0
def _spawned_indices(campaign: Campaign, session: Optional[Session] = None) -> set[int]:
"""Return plan entries completed by durable identities or legacy progress.
Once any durable occurrence exists for an entry, identities replace the
legacy summary for that entry. This repairs summaries written by older
runners after only part of a multi-occurrence entry was claimed.
"""
legacy = set(campaign.summary.scheduler.spawned_indices) if campaign.summary else set()
if not campaign.id or session is None:
return legacy
occurrences: dict[int, set[int]] = {}
for run in RunRepository(session).list_by_campaign(campaign.id):
if run.campaign_plan_index is None or run.campaign_occurrence_index is None:
continue
occurrences.setdefault(run.campaign_plan_index, set()).add(run.campaign_occurrence_index)
return {
plan_index
for plan_index, entry in enumerate(campaign.plan)
if (plan_index in occurrences and set(range(entry.count)).issubset(occurrences[plan_index]))
or (plan_index not in occurrences and plan_index in legacy)
}
async def _execute_child_run(
campaign: Campaign,
scenario: Scenario,
run: EvalRun,
session: Session,
) -> None:
target = TargetRepository(session).get(campaign.target_id)
if not target:
raise ValueError(f"campaign target missing: {campaign.target_id}")
engine = EvalEngine(target=target, scenario=scenario, triggered_by=RunTrigger.CAMPAIGN)
await engine.run(existing_run=run)
async def _spawn_child_run(
campaign: Campaign,
scenario_id: str,
*,
plan_index: int,
occurrence_index: int,
session: Session,
execute_child_run: ChildRunExecutor = _execute_child_run,
) -> Optional[str]:
"""Claim one occurrence and drive its pending Run through the engine.
A rejected claim means the Campaign stopped being runnable between the
scheduler decision and this write; callers must stop spawning. An existing
pending Run is resumed, while an existing running/completed/failed Run is
returned without replaying external messages.
"""
scenario = ScenarioRepository(session).get(scenario_id)
if not scenario:
raise ValueError(f"campaign scenario missing: {scenario_id}")
claim = RunRepository(session).claim_campaign_run(
campaign_id=campaign.id or "",
scenario_id=scenario_id,
scenario_version=scenario.version or 1,
plan_index=plan_index,
occurrence_index=occurrence_index,
)
if claim.status in (CampaignRunClaimStatus.NOT_FOUND, CampaignRunClaimStatus.CONFLICT):
return None
run = claim.run
if run is None:
raise RuntimeError(f"Campaign child claim returned no Run: {claim.status.value}")
if run.status is RunStatus.PENDING:
await execute_child_run(campaign, scenario, run, session)
return run.id or ""
async def _advance_campaign(
*,
campaign_id: str,
elapsed_seconds: float,
session: Session,
cancel_event: Optional[asyncio.Event] = None,
execute_child_run: ChildRunExecutor = _execute_child_run,
) -> Optional[AdvanceResult]:
"""Advance the campaign clock to ``elapsed_seconds`` and spawn due Runs.
``elapsed_seconds`` is real wall-clock time since the window started; it is
mapped to a window offset via ``time_scale``. A due entry whose spawning
raises is recorded but remains due until every occurrence has a durable
child-Run identity. Returns ``None`` if the campaign does not exist.
"""
repo = CampaignRepository(session)
campaign = repo.get(campaign_id)
if not campaign:
return None
offset = clock_offset(elapsed_seconds=elapsed_seconds, time_scale=campaign.time_scale)
spawned = _spawned_indices(campaign, session)
decision = decide_schedule(
plan=campaign.plan,
window_seconds=campaign.window_seconds,
clock_offset_seconds=offset,
spawned_indices=spawned,
)
result = AdvanceResult(finished=decision.finished)
errors: list[dict] = list(campaign.summary.scheduler.errors) if campaign.summary else []
for due in decision.due:
# Cancellation stops further spawning; runs already in flight finish.
if cancel_event is not None and cancel_event.is_set():
break
claim_rejected = False
try:
for occurrence_index in range(due.entry.count):
run_id = await _spawn_child_run(
campaign,
due.entry.scenario_id,
plan_index=due.index,
occurrence_index=occurrence_index,
session=session,
execute_child_run=execute_child_run,
)
if run_id is None:
claim_rejected = True
break
result.spawned_run_ids.append(run_id)
except Exception as exc: # one entry failing must not wedge the campaign
errors.append({"entry_index": due.index, "error": str(exc)})
_logger.warning("活动 %s 计划条目 %d 派生失败(跳过): %s", campaign_id, due.index, exc)
if claim_rejected:
break
spawned = _spawned_indices(campaign, session)
# Persist progress per entry: a failure partway through a multi-entry
# advance must never lose which entries already spawned, since restart
# recovery reads this back from the DB. Mutate the existing summary so
# any unknown top-level keys survive the read-modify-write.
summary = campaign.summary or CampaignSummary()
summary.scheduler = SchedulerState(spawned_indices=sorted(spawned), errors=errors)
campaign.summary = summary
repo.save_scheduler_state(campaign_id, summary)
return result
def _auto_start_analysis(campaign: Campaign, session: Session) -> None:
"""Enqueue 智能分析 when a 正式线 campaign completes.
Accelerated campaigns, an unresolvable analysis model, and any enqueue
failure all skip silently — the analysis is an enhancement and must never
block or break campaign completion.
"""
if not auto_intelligence_eligible(campaign, session):
return
try:
enqueue_campaign_analysis(campaign.id, triggered_by="auto")
except Exception as exc:
_logger.warning("活动 %s 自动分析触发失败(已跳过): %s", campaign.id, exc)
async def _reconcile_campaign_child_runs(
campaign_id: str,
session: Session,
*,
cancel_event: Optional[asyncio.Event] = None,
execute_child_run: ChildRunExecutor = _execute_child_run,
) -> Optional[CampaignRecoveryResult]:
"""Resume safe pending claims and fail running Runs without replaying.
A pending claim has not crossed the Engine's send seam and can be resumed.
A running Run may already have reached the target, so recovery records an
explicit interruption instead of executing it again.
"""
campaign = CampaignRepository(session).get(campaign_id)
if campaign is None:
return None
if campaign.status is not CampaignStatus.RUNNING:
return CampaignRecoveryResult()
run_repo = RunRepository(session)
result = CampaignRecoveryResult(failed_run_ids=run_repo.mark_campaign_running_interrupted(campaign_id))
for run in run_repo.list_pending_campaign_children(campaign_id):
if cancel_event is not None and cancel_event.is_set():
break
plan_index = run.campaign_plan_index
occurrence_index = run.campaign_occurrence_index
valid_identity = (
plan_index is not None
and occurrence_index is not None
and 0 <= plan_index < len(campaign.plan)
and 0 <= occurrence_index < campaign.plan[plan_index].count
and run.scenario_id == campaign.plan[plan_index].scenario_id
)
if not valid_identity:
failed = run_repo.mark_pending_campaign_child_interrupted(run.id or "")
if failed and failed.id:
result.failed_run_ids.append(failed.id)
continue
try:
resumed_id = await _spawn_child_run(
campaign,
run.scenario_id,
plan_index=plan_index,
occurrence_index=occurrence_index,
session=session,
execute_child_run=execute_child_run,
)
if resumed_id is None:
break
result.resumed_run_ids.append(resumed_id)
except Exception as exc:
fresh = run_repo.get(run.id or "")
if fresh is not None and fresh.status is RunStatus.PENDING:
failed = run_repo.mark_pending_campaign_child_interrupted(run.id or "")
if failed and failed.id:
result.failed_run_ids.append(failed.id)
elif fresh is not None and fresh.status is RunStatus.FAILED and fresh.id:
result.failed_run_ids.append(fresh.id)
_logger.warning("活动 %s 子运行 %s 恢复失败: %s", campaign_id, run.id, exc)
return result
# ── durable scheduler loop ──────────────────────────────────────────────────
async def _run_campaign_loop(
campaign_id: str,
cancel: asyncio.Event,
*,
session_factory: Callable[[], Session],
now: Callable[[], datetime],
tick_seconds: float,
execute_child_run: ChildRunExecutor,
) -> None:
"""Drive one campaign to completion, ticking on real wall-clock time.
The loop holds no authority and no decision logic: every tick it reloads the
campaign, asks the pure ``decide_tick`` what to do, and only performs I/O.
It exits when the window finishes, the campaign leaves RUNNING (e.g. it was
cancelled), or the cooperative cancel event fires.
"""
session = session_factory()
try:
await _reconcile_campaign_child_runs(
campaign_id,
session,
cancel_event=cancel,
execute_child_run=execute_child_run,
)
while not cancel.is_set():
repo = CampaignRepository(session)
campaign = repo.get(campaign_id)
if not campaign:
return
current_time = now()
decision = decide_tick(
now=current_time,
started_at=campaign.started_at,
status=campaign.status,
window_seconds=campaign.window_seconds,
time_scale=campaign.time_scale,
plan=campaign.plan,
spawned_indices=_spawned_indices(campaign, session),
)
if decision.action is TickAction.STOP:
return
elapsed = elapsed_seconds(now=current_time, started_at=campaign.started_at)
await _advance_campaign(
campaign_id=campaign_id,
elapsed_seconds=elapsed,
session=session,
cancel_event=cancel,
execute_child_run=execute_child_run,
)
if decision.action is TickAction.COMPLETE:
current = repo.get(campaign_id)
# The lifecycle CAS is the authoritative cancel-race guard.
if current and resolve_finalize(current.status) is TickAction.COMPLETE:
try:
completed = complete_campaign(campaign_id=campaign_id, session=session)
except Exception as exc:
_logger.warning("活动 %s 完成迁移失败: %s", campaign_id, exc)
else:
_auto_start_analysis(completed, session)
return
try:
await asyncio.wait_for(cancel.wait(), timeout=tick_seconds)
except asyncio.TimeoutError:
pass
except Exception as exc: # a crashing loop must not take down the app
_logger.warning("活动调度循环 %s 异常退出: %s", campaign_id, exc)
finally:
session.close()
class CampaignRuntime:
"""Own durable Campaign execution behind one lifecycle-level interface."""
def __init__(
self,
*,
session_factory: Callable[[], Session] = get_session,
now: Callable[[], datetime] = utc_now,
tick_seconds: float = DEFAULT_TICK_SECONDS,
execute_child_run: ChildRunExecutor = _execute_child_run,
) -> None:
self._session_factory = session_factory
self._now = now
self._tick_seconds = tick_seconds
self._execute_child_run = execute_child_run
self._registry = TaskRegistry()
def start(self, campaign_id: str) -> bool:
"""Start or resume one durable Campaign, idempotently."""
session = self._session_factory()
try:
started = start_campaign_lifecycle(session, campaign_id)
finally:
session.close()
if started is None:
return False
self._launch(campaign_id)
return True
def cancel(self, campaign_id: str) -> None:
"""Signal the process-local loop after durable cancellation commits."""
self._registry.cancel(campaign_id)
def recover(self) -> CampaignRuntimeRecovery:
"""Repair interrupted Runs and relaunch every running Campaign."""
session = self._session_factory()
try:
interrupted_runs = RunRepository(session).mark_orphans_failed()
running_ids = [
campaign.id
for campaign in CampaignRepository(session).list_all()
if campaign.status is CampaignStatus.RUNNING and campaign.id
]
finally:
session.close()
for campaign_id in running_ids:
self._launch(campaign_id)
return CampaignRuntimeRecovery(
interrupted_runs=interrupted_runs,
resumed_campaigns=len(running_ids),
)
async def shutdown(self) -> None:
"""Gracefully stop all process-local Campaign loops."""
await self._registry.shutdown_all()
def _launch(self, campaign_id: str) -> None:
self._registry.launch(
campaign_id,
lambda cancel: _run_campaign_loop(
campaign_id,
cancel,
session_factory=self._session_factory,
now=self._now,
tick_seconds=self._tick_seconds,
execute_child_run=self._execute_child_run,
),
)
campaign_runtime = CampaignRuntime()