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.
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Yun Chan
parent
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commit
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390 changed files with 243188 additions and 499 deletions
265
apps/api/app/test_measurement_contract.py
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265
apps/api/app/test_measurement_contract.py
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"""Outcome & Alliance OS G0 측정 계약의 결정론적 회귀 검사."""
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from __future__ import annotations
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import json
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import unittest
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from pathlib import Path
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from uuid import uuid4
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from pydantic import ValidationError
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from .contracts.measurement import (
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AI_VIEWS,
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INSTRUMENT_KINDS,
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MEASUREMENT_CONSTRUCTS,
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MEASUREMENT_PERSPECTIVES,
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MEASUREMENT_STATUSES,
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MODEL_RUN_STATUSES,
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SOURCE_KINDS,
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BenchmarkCase,
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MeasurementEvent,
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)
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from .services.measurement_legacy import (
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LEGACY_SIGNAL_INVENTORY,
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adapt_deep_evaluation,
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adapt_fast_evaluation,
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adapt_legacy_simulation_signals,
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adapt_phase3_metric,
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require_homogeneous_provenance,
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)
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REPO_ROOT = Path(__file__).resolve().parents[3]
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BENCHMARK_PATH = (
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REPO_ROOT
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/ "apps"
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/ "api"
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/ "app"
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/ "data"
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/ "outcome_alliance_benchmark_g0.v1.json"
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)
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CONTRACT_PATH = (
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REPO_ROOT
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/ "apps"
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/ "api"
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/ "app"
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/ "contracts"
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/ "measurement_contract.v1.json"
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)
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SQL_PATH = REPO_ROOT / "infra" / "db" / "init" / "07_measurement_foundation.sql"
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def valid_event_payload(**overrides: object) -> dict[str, object]:
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payload: dict[str, object] = {
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"session_id": uuid4(),
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"construct": "working_alliance",
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"dimension": "goal",
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"perspective": "learner_self_report",
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"source_kind": "learner_reported",
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"instrument_id": "pilot-alliance-pulse",
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"instrument_version": "design-1",
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"value": 0.75,
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"scale_min": 0.0,
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"scale_max": 1.0,
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"visible_to": ("counselor", "evaluator"),
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}
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payload.update(overrides)
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return payload
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class MeasurementContractTest(unittest.TestCase):
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def test_external_contract_keeps_construct_alias_without_pydantic_collision(self) -> None:
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event = MeasurementEvent.model_validate(valid_event_payload())
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self.assertEqual(event.construct_key, "working_alliance")
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self.assertEqual(event.model_dump(by_alias=True)["construct"], "working_alliance")
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schema = MeasurementEvent.model_json_schema()
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self.assertIn("construct", schema["properties"])
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self.assertNotIn("construct_key", schema["properties"])
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self.assertIn("construct", schema["required"])
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def test_measurement_truth_guards_reject_invalid_layers_and_scores(self) -> None:
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invalid_payloads = (
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valid_event_payload(perspective="independent_observer"),
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valid_event_payload(scale_min=1.0, scale_max=1.0),
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valid_event_payload(value=1.1),
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valid_event_payload(value=None, status="ready"),
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valid_event_payload(value=0.5, status="error", error_code="failed"),
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valid_event_payload(value=None, status="error", error_code=None),
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)
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for payload in invalid_payloads:
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with self.subTest(payload=payload):
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with self.assertRaises(ValidationError):
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MeasurementEvent.model_validate(payload)
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def test_model_and_agent_measurements_require_model_run_provenance(self) -> None:
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for source_kind, perspective in (
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("model_inferred", "independent_observer"),
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("agent_reported", "client_agent_report"),
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):
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with self.subTest(source_kind=source_kind):
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with self.assertRaises(ValidationError):
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MeasurementEvent.model_validate(
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valid_event_payload(
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source_kind=source_kind,
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perspective=perspective,
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model_run_id=None,
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)
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)
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event = MeasurementEvent.model_validate(
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valid_event_payload(
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source_kind=source_kind,
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perspective=perspective,
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model_run_id=uuid4(),
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)
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)
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self.assertIsNotNone(event.model_run_id)
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def test_legacy_simulation_signals_never_become_clinical_alliance(self) -> None:
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session_id = uuid4()
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events = adapt_legacy_simulation_signals(
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session_id=session_id,
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rapport_credit=0.6,
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alliance_level=0.7,
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)
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self.assertEqual(len(events), 2)
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for event in events:
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self.assertEqual(event.source_kind, "simulated_state")
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self.assertEqual(event.perspective, "client_simulation")
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self.assertEqual(event.construct_key, "simulation_progress")
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self.assertFalse(event.metadata["clinical_claim_allowed"])
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inventory = {item.signal: item for item in LEGACY_SIGNAL_INVENTORY}
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self.assertFalse(inventory["session_state.rapport_credit"].clinical_claim_allowed)
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self.assertFalse(inventory["case_profile.alliance_level"].clinical_claim_allowed)
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def test_legacy_model_adapters_keep_model_and_evidence_provenance(self) -> None:
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session_id = uuid4()
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turn_id = uuid4()
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model_run_id = uuid4()
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fast = adapt_fast_evaluation(
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session_id=session_id,
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turn_id=turn_id,
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evaluation={"appropriateness": "pos", "rapport_signal": -0.5},
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model_run_id=model_run_id,
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)
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self.assertEqual([event.value for event in fast], [1.0, -0.5])
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for event in fast:
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self.assertEqual(event.source_kind, "model_inferred")
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self.assertEqual(event.model_run_id, model_run_id)
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self.assertEqual(event.evidence_turn_ids, (turn_id,))
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deep = adapt_deep_evaluation(
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session_id=session_id,
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evaluation={"distribution": {"total": 7}},
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model_run_id=model_run_id,
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evidence_turn_ids=(turn_id,),
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)
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self.assertEqual(deep.value, 7.0)
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self.assertEqual(deep.dimension, "technique_occurrence_count")
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def test_failed_legacy_model_runs_emit_error_event_without_score(self) -> None:
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event = adapt_deep_evaluation(
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session_id=uuid4(),
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evaluation={"error": "provider_timeout"},
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model_run_id=uuid4(),
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)
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self.assertEqual(event.status, "error")
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self.assertEqual(event.error_code, "provider_timeout")
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self.assertIsNone(event.value)
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def test_phase3_self_report_and_runtime_layers_are_separate(self) -> None:
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session_id = uuid4()
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learner = adapt_phase3_metric(
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session_id=session_id,
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metric_name="self_efficacy_prepost",
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value=0.8,
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)
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runtime = adapt_phase3_metric(
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session_id=session_id,
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metric_name="completion_rate",
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value=0.9,
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)
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self.assertEqual((learner.source_kind, learner.perspective), (
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"learner_reported",
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"learner_self_report",
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))
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self.assertEqual((runtime.source_kind, runtime.perspective), (
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"observed_runtime",
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"runtime_observation",
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))
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with self.assertRaisesRegex(ValueError, "heterogeneous measurement provenance"):
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require_homogeneous_provenance(
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(learner, runtime),
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operation="phase3_total_score",
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)
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def test_benchmark_pack_has_exactly_eight_versioned_truth_cases(self) -> None:
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payload = json.loads(BENCHMARK_PATH.read_text(encoding="utf-8"))
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self.assertEqual(payload["schema"], "vignette.outcome_alliance_benchmark.v1")
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cases = tuple(BenchmarkCase.model_validate(item) for item in payload["cases"])
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self.assertEqual(len(cases), 8)
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self.assertEqual(len({case.case_id for case in cases}), 8)
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self.assertEqual(
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{case.scene_type for case in cases},
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{
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"goal_mismatch",
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"task_mismatch",
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"empathic_miss",
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"withdrawal",
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"confrontation",
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"successful_repair",
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"failed_repair",
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"warm_but_directionless",
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},
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)
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for case in cases:
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self.assertEqual(case.version, "1.0.0")
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self.assertTrue(case.forbidden_claims)
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for expectation in case.expected:
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self.assertLess(
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max(expectation.evidence_turn_indices),
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len(case.turns),
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)
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def test_generated_contract_enums_match_python_ssot(self) -> None:
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contract = json.loads(CONTRACT_PATH.read_text(encoding="utf-8"))
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self.assertEqual(contract["enums"]["sourceKinds"], list(SOURCE_KINDS))
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self.assertEqual(contract["enums"]["constructs"], list(MEASUREMENT_CONSTRUCTS))
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self.assertEqual(
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contract["enums"]["perspectives"], list(MEASUREMENT_PERSPECTIVES)
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)
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self.assertEqual(
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contract["enums"]["measurementStatuses"], list(MEASUREMENT_STATUSES)
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)
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self.assertEqual(contract["enums"]["instrumentKinds"], list(INSTRUMENT_KINDS))
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self.assertEqual(contract["enums"]["aiViews"], list(AI_VIEWS))
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self.assertEqual(
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contract["enums"]["modelRunStatuses"], list(MODEL_RUN_STATUSES)
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)
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def test_sql_ledger_is_append_only_rls_guarded_and_seeded(self) -> None:
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sql = SQL_PATH.read_text(encoding="utf-8")
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self.assertIn("BEFORE UPDATE OR DELETE ON app.measurement_event", sql)
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self.assertIn("BEFORE UPDATE OR DELETE ON audit.model_run", sql)
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self.assertIn("ALTER TABLE app.measurement_event ENABLE ROW LEVEL SECURITY", sql)
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self.assertIn("ALTER TABLE audit.model_run ENABLE ROW LEVEL SECURITY", sql)
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self.assertIn("CREATE POLICY p_measurement_event_select", sql)
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self.assertIn("CREATE POLICY p_measurement_event_insert", sql)
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self.assertNotIn("CREATE POLICY p_measurement_event_update", sql)
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self.assertNotIn("CREATE POLICY p_measurement_event_delete", sql)
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for instrument_id in (
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"vignette-state-machine",
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"vignette-alliance-ewma",
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"vignette-fast-evaluator",
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"vignette-deep-evaluator",
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"phase3-prepost",
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"phase3-runtime-kpi",
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):
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self.assertIn(f"'{instrument_id}'", sql)
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if __name__ == "__main__":
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unittest.main()
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