G0~G8 성과·동맹 측정 OS 작업 일괄 고정
8월 7일까지 워킹트리에만 남아 있던 미커밋 작업을 커밋한다. 여러 사본 폴더(worktree·clone)에 흩어져 있던 중간 스냅샷을 정리하기 전에 원본을 git 이력으로 고정하는 것이 목적이다. - contracts/routes/services: measurement, outcome_trajectory, rupture_repair, deliberate_practice, calibration_transfer, supervision_research, multimodal_alliance, continuous_improvement 계열 신규 모듈과 테스트 - infra/db/init: 07~16 마이그레이션(측정 기반~calibration transfer 실행) - apps/web: 세션 리뷰 카드·관리 화면·E2E 스펙 추가 - docs/ops: G0~G8 라이브 통합·배포·롤백 증거 문서와 evidence JSON/PNG - scripts: smoke·ledger·릴리스 에이전트·NAS 프리뷰 운영 스크립트 engine.public 로그 .bak과 apps/web/test-results 산출물은 커밋에서 제외했다.
This commit is contained in:
Yun Chan
parent
93dd8f82d7
commit
16e791e044
390 changed files with 243188 additions and 499 deletions
334
apps/api/app/test_continuous_improvement_trigger.py
Normal file
334
apps/api/app/test_continuous_improvement_trigger.py
Normal file
|
|
@ -0,0 +1,334 @@
|
|||
from __future__ import annotations
|
||||
|
||||
from unittest import IsolatedAsyncioTestCase
|
||||
from unittest.mock import AsyncMock, patch
|
||||
from uuid import UUID
|
||||
|
||||
from pydantic import ValidationError
|
||||
|
||||
from .config import Settings
|
||||
from .services import continuous_improvement_agentic as agentic
|
||||
from .services import continuous_improvement_producer as producer
|
||||
from .services import continuous_improvement_trigger as trigger
|
||||
from .services.guardrail import mask_pii
|
||||
|
||||
|
||||
DRIFT_REPORT_ID = UUID("82000000-0000-0000-0000-000000000001")
|
||||
|
||||
|
||||
def _drift_row(**overrides: object) -> dict[str, object]:
|
||||
payload: dict[str, object] = {
|
||||
"drift_report_id": DRIFT_REPORT_ID,
|
||||
"content_hash": "a" * 64,
|
||||
"matched_count": 12,
|
||||
"status": "drift_flagged",
|
||||
"baseline_accuracy": 0.92,
|
||||
"candidate_accuracy": 0.67,
|
||||
"accuracy_delta": -0.25,
|
||||
"alerts": ["overall_accuracy_regression"],
|
||||
"subgroup_metrics": [],
|
||||
"data_classification": "synthetic_educational",
|
||||
"clinical_claim_allowed": False,
|
||||
}
|
||||
payload.update(overrides)
|
||||
return payload
|
||||
|
||||
|
||||
class AcquireContext:
|
||||
def __init__(self, conn: AsyncMock) -> None:
|
||||
self.conn = conn
|
||||
|
||||
async def __aenter__(self) -> AsyncMock:
|
||||
return self.conn
|
||||
|
||||
async def __aexit__(self, *_: object) -> None:
|
||||
return None
|
||||
|
||||
|
||||
class ContinuousImprovementDriftTriggerTest(IsolatedAsyncioTestCase):
|
||||
def test_drift_ledger_trigger_is_independently_disabled_by_default(self) -> None:
|
||||
self.assertFalse(
|
||||
Settings.model_fields[
|
||||
"continuous_improvement_drift_trigger_enabled"
|
||||
].default
|
||||
)
|
||||
|
||||
async def test_loader_reads_only_metadata_from_research_drift_ledger(self) -> None:
|
||||
conn = AsyncMock()
|
||||
conn.fetch.return_value = [_drift_row()]
|
||||
|
||||
signals, rejected = await trigger.load_triggerable_drift_signals(conn, limit=3)
|
||||
|
||||
self.assertEqual(rejected, 0)
|
||||
self.assertEqual(len(signals), 1)
|
||||
sql = str(conn.fetch.await_args.args[0]).lower()
|
||||
self.assertIn("from app.supervision_drift_report", sql)
|
||||
self.assertIn("status = 'drift_flagged'", sql)
|
||||
self.assertIn("data_classification = 'synthetic_educational'", sql)
|
||||
self.assertIn("clinical_claim_allowed = false", sql)
|
||||
self.assertIn("app.ci_agentic_job", sql)
|
||||
self.assertIn("app.supervision_drift_subgroup_metric", sql)
|
||||
self.assertIn("report.matched_count >= $2", sql)
|
||||
self.assertEqual(
|
||||
conn.fetch.await_args.args[2],
|
||||
trigger.supervision_research.MIN_DRIFT_MATCHES,
|
||||
)
|
||||
self.assertNotIn("for update", sql)
|
||||
for forbidden in (
|
||||
"app.sessions",
|
||||
"app.turns",
|
||||
"learner_id",
|
||||
"session_id",
|
||||
"cohort_id",
|
||||
"disagreement_case_refs",
|
||||
"evidence_pointer_ids",
|
||||
"raw_transcript",
|
||||
"text_masked",
|
||||
):
|
||||
self.assertNotIn(forbidden, sql)
|
||||
|
||||
def test_signal_builds_deterministic_metadata_only_incident_and_job(self) -> None:
|
||||
signal = trigger.DriftBenchmarkSignal.model_validate(_drift_row())
|
||||
|
||||
first = trigger.build_drift_adversarial_trigger(signal)
|
||||
second = trigger.build_drift_adversarial_trigger(signal)
|
||||
|
||||
self.assertEqual(first, second)
|
||||
self.assertFalse(first.incident.pii_included)
|
||||
self.assertEqual(first.job_spec.trigger_kind, "scheduled_incident")
|
||||
self.assertEqual(
|
||||
first.job_spec.job_key,
|
||||
f"oas-g8-job-g6-drift-{DRIFT_REPORT_ID.hex}",
|
||||
)
|
||||
self.assertEqual(first.job_spec.content_kind, "benchmark")
|
||||
self.assertEqual(first.job_spec.data_classification, producer.DATA_CLASSIFICATION)
|
||||
self.assertEqual(len(first.job_spec.source_packs), 1)
|
||||
self.assertEqual(
|
||||
first.job_spec.source_packs[0],
|
||||
agentic.source_pack_from_operational_incident(first.incident),
|
||||
)
|
||||
serialized = first.job_spec.source_packs[0].content.lower()
|
||||
self.assertEqual(mask_pii(serialized).entities, [])
|
||||
for forbidden in (
|
||||
"learner_id",
|
||||
"session_id",
|
||||
"cohort_id",
|
||||
"raw_transcript",
|
||||
"clinical_claim_allowed",
|
||||
"diagnosis",
|
||||
):
|
||||
self.assertNotIn(forbidden, serialized)
|
||||
self.assertRegex(
|
||||
first.incident.evidence_refs[0],
|
||||
r"^db://app/supervision-drift-report/[a-p]{32}$",
|
||||
)
|
||||
self.assertNotRegex(first.incident.evidence_refs[0], r"[0-9]")
|
||||
|
||||
def test_non_triggerable_or_unsafe_ledger_rows_fail_closed(self) -> None:
|
||||
rejected_rows = (
|
||||
_drift_row(status="stable", alerts=[]),
|
||||
_drift_row(data_classification="production_transcript"),
|
||||
_drift_row(clinical_claim_allowed=True),
|
||||
_drift_row(alerts=["unknown_runtime_alert"]),
|
||||
_drift_row(matched_count=0),
|
||||
_drift_row(accuracy_delta=0.25),
|
||||
_drift_row(
|
||||
candidate_accuracy=0.91,
|
||||
accuracy_delta=-0.01,
|
||||
),
|
||||
_drift_row(
|
||||
candidate_accuracy=0.92,
|
||||
accuracy_delta=0.0,
|
||||
alerts=["synthetic_subgroup_regression:synthetic-a"],
|
||||
),
|
||||
)
|
||||
for row in rejected_rows:
|
||||
with self.subTest(row=row):
|
||||
with self.assertRaises(ValidationError):
|
||||
trigger.DriftBenchmarkSignal.model_validate(row)
|
||||
|
||||
def test_subgroup_alert_requires_the_canonical_g6_metric_threshold(self) -> None:
|
||||
signal = trigger.DriftBenchmarkSignal.model_validate(
|
||||
_drift_row(
|
||||
candidate_accuracy=0.92,
|
||||
accuracy_delta=0.0,
|
||||
alerts=["synthetic_subgroup_regression:synthetic-a"],
|
||||
subgroup_metrics=[
|
||||
{
|
||||
"subgroup": "synthetic-a",
|
||||
"matched_count": 2,
|
||||
"baseline_accuracy": 1.0,
|
||||
"candidate_accuracy": 0.5,
|
||||
"accuracy_delta": -0.5,
|
||||
}
|
||||
],
|
||||
)
|
||||
)
|
||||
|
||||
self.assertEqual(
|
||||
signal.alerts,
|
||||
("synthetic_subgroup_regression:synthetic-a",),
|
||||
)
|
||||
|
||||
with self.assertRaises(ValidationError):
|
||||
trigger.DriftBenchmarkSignal.model_validate(
|
||||
_drift_row(
|
||||
candidate_accuracy=0.92,
|
||||
accuracy_delta=0.0,
|
||||
alerts=["synthetic_subgroup_regression:synthetic-a"],
|
||||
subgroup_metrics=[
|
||||
{
|
||||
"subgroup": "synthetic-a",
|
||||
"matched_count": 2,
|
||||
"baseline_accuracy": 1.0,
|
||||
"candidate_accuracy": 0.9,
|
||||
"accuracy_delta": -0.1,
|
||||
}
|
||||
],
|
||||
)
|
||||
)
|
||||
|
||||
async def test_invalid_rows_are_counted_without_crossing_write_boundary(self) -> None:
|
||||
conn = AsyncMock()
|
||||
conn.fetch.return_value = [
|
||||
_drift_row(status="stable", alerts=[]),
|
||||
_drift_row(drift_report_id=UUID(int=2)),
|
||||
]
|
||||
|
||||
signals, rejected = await trigger.load_triggerable_drift_signals(conn, limit=5)
|
||||
|
||||
self.assertEqual(rejected, 1)
|
||||
self.assertEqual([item.drift_report_id for item in signals], [UUID(int=2)])
|
||||
conn.execute.assert_not_awaited()
|
||||
|
||||
async def test_trigger_persists_incident_then_enqueues_job_in_same_rls_scope(self) -> None:
|
||||
conn = AsyncMock()
|
||||
conn.fetch.return_value = [_drift_row()]
|
||||
submit = AsyncMock(return_value={"idempotent_replay": False})
|
||||
enqueue = AsyncMock(return_value=UUID(int=9))
|
||||
with (
|
||||
patch.object(trigger.db, "acquire", return_value=AcquireContext(conn)) as acquire,
|
||||
patch.object(trigger.continuous_improvement_store, "submit_incident_dag", submit),
|
||||
patch.object(producer, "enqueue_agentic_job", enqueue),
|
||||
):
|
||||
result = await trigger.enqueue_drift_adversarial_jobs_once(limit=4)
|
||||
|
||||
acquire.assert_called_once_with(ai_view="research", ai_context=True)
|
||||
self.assertEqual(result.scanned, 1)
|
||||
self.assertEqual(result.incidents_created, 1)
|
||||
self.assertEqual(result.jobs_enqueued, 1)
|
||||
self.assertEqual(result.invalid_signals, 0)
|
||||
submit.assert_awaited_once()
|
||||
enqueue.assert_awaited_once()
|
||||
self.assertIs(submit.await_args.kwargs["conn"], conn)
|
||||
self.assertIs(enqueue.await_args.args[0], conn)
|
||||
spec = enqueue.await_args.args[1]
|
||||
self.assertEqual(spec.trigger_kind, "scheduled_incident")
|
||||
self.assertNotIn("catalog", str(submit.await_args).lower())
|
||||
self.assertNotIn("approval", str(submit.await_args).lower())
|
||||
|
||||
async def test_incident_replay_still_repairs_missing_job_idempotently(self) -> None:
|
||||
conn = AsyncMock()
|
||||
conn.fetch.return_value = [_drift_row()]
|
||||
submit = AsyncMock(return_value={"idempotent_replay": True})
|
||||
enqueue = AsyncMock(return_value=UUID(int=9))
|
||||
with (
|
||||
patch.object(trigger.db, "acquire", return_value=AcquireContext(conn)),
|
||||
patch.object(trigger.continuous_improvement_store, "submit_incident_dag", submit),
|
||||
patch.object(producer, "enqueue_agentic_job", enqueue),
|
||||
):
|
||||
result = await trigger.enqueue_drift_adversarial_jobs_once(limit=1)
|
||||
|
||||
self.assertEqual(result.incident_replays, 1)
|
||||
self.assertEqual(result.incidents_created, 0)
|
||||
self.assertEqual(result.jobs_enqueued, 1)
|
||||
|
||||
async def test_existing_opt_in_scheduler_feeds_trigger_into_lease_retry_queue(self) -> None:
|
||||
trigger_result = trigger.DriftTriggerCycleResult(
|
||||
scanned=1,
|
||||
invalid_signals=0,
|
||||
incidents_created=1,
|
||||
incident_replays=0,
|
||||
jobs_enqueued=1,
|
||||
)
|
||||
with (
|
||||
patch.object(
|
||||
trigger,
|
||||
"enqueue_drift_adversarial_jobs_once",
|
||||
AsyncMock(return_value=trigger_result),
|
||||
) as run_trigger,
|
||||
patch.object(producer, "ensure_repo_approved_job", AsyncMock(return_value=UUID(int=1))),
|
||||
patch.object(producer, "claim_next_agentic_job", AsyncMock(return_value=None)),
|
||||
patch.object(
|
||||
producer.settings,
|
||||
"continuous_improvement_drift_trigger_enabled",
|
||||
True,
|
||||
),
|
||||
):
|
||||
result = await producer.produce_queued_agentic_jobs_once()
|
||||
|
||||
run_trigger.assert_awaited_once()
|
||||
self.assertEqual(result["drift_jobs_enqueued"], 1)
|
||||
self.assertEqual(result["drift_trigger_failed"], 0)
|
||||
self.assertEqual(result["claimed"], 0)
|
||||
|
||||
async def test_producer_cycle_does_not_read_drift_ledger_without_trigger_opt_in(
|
||||
self,
|
||||
) -> None:
|
||||
run_trigger = AsyncMock()
|
||||
with (
|
||||
patch.object(
|
||||
trigger,
|
||||
"enqueue_drift_adversarial_jobs_once",
|
||||
run_trigger,
|
||||
),
|
||||
patch.object(producer, "ensure_repo_approved_job", AsyncMock(return_value=UUID(int=1))),
|
||||
patch.object(producer, "claim_next_agentic_job", AsyncMock(return_value=None)),
|
||||
patch.object(
|
||||
producer.settings,
|
||||
"continuous_improvement_drift_trigger_enabled",
|
||||
False,
|
||||
),
|
||||
):
|
||||
result = await producer.produce_queued_agentic_jobs_once()
|
||||
|
||||
run_trigger.assert_not_awaited()
|
||||
self.assertEqual(result["drift_signals_scanned"], 0)
|
||||
self.assertEqual(result["drift_jobs_enqueued"], 0)
|
||||
self.assertEqual(result["drift_trigger_failed"], 0)
|
||||
|
||||
async def test_trigger_failure_is_reported_without_claiming_it_succeeded(self) -> None:
|
||||
with (
|
||||
patch.object(
|
||||
trigger,
|
||||
"enqueue_drift_adversarial_jobs_once",
|
||||
AsyncMock(side_effect=RuntimeError("drift ledger unavailable")),
|
||||
) as run_trigger,
|
||||
patch.object(
|
||||
producer,
|
||||
"ensure_repo_approved_job",
|
||||
AsyncMock(return_value=UUID(int=1)),
|
||||
),
|
||||
patch.object(
|
||||
producer,
|
||||
"claim_next_agentic_job",
|
||||
AsyncMock(return_value=None),
|
||||
),
|
||||
patch.object(
|
||||
producer.settings,
|
||||
"continuous_improvement_drift_trigger_enabled",
|
||||
True,
|
||||
),
|
||||
):
|
||||
result = await producer.produce_queued_agentic_jobs_once()
|
||||
|
||||
run_trigger.assert_awaited_once()
|
||||
self.assertEqual(result["drift_signals_scanned"], 0)
|
||||
self.assertEqual(result["drift_jobs_enqueued"], 0)
|
||||
self.assertEqual(result["drift_trigger_failed"], 1)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
import unittest
|
||||
|
||||
unittest.main()
|
||||
Loading…
Add table
Add a link
Reference in a new issue