16e791e044
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.
136 lines
4.6 KiB
JSON
136 lines
4.6 KiB
JSON
{
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"ok": true,
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"fixture_classification": "synthetic_educational",
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"clinical_claim_allowed": false,
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"notice_ko": "교육용 합성 fixture 검증이며 임상적 효과·예후를 주장하지 않는다.",
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"fixture_policy": "retained unique dev:e2e rows in expendable development DB; append-only ledger",
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"entrypoint": "outcome_trajectories.create_outcome_observations -> outcome_trajectory_store measurement producer -> evaluator",
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"direct_measurement_or_trajectory_insert_used": false,
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"source_values_in_evidence_json": false,
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"worsening_case": {
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"case_id": "3cc6fd3d-2f07-48fe-953d-892220032969",
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"session_ids": [
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"963c4ce5-6b65-4a80-b769-70f59415c357"
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],
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"submitted_measurement_ids": [
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],
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"revision_id": "3600a0c0-12a5-40bd-bf95-b4c357f0c0f3",
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"revision_no": 5,
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"source_fingerprint": "5f3ec984904a9e650ae40dd9c151a0ee2c5265beb4723893d99f79f2d6ac7fda",
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"session_statuses": [
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"on_track",
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"on_track",
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"off_track",
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"deteriorating",
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"deteriorating"
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],
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"learner_teacher_projection_equal": true,
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"next_question_count": 2,
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"alert_promotion_count": 2
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},
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"noisy_one_off_control": {
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"case_id": "0a450686-0fa2-4a2f-a2d9-bb330a66db59",
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"session_ids": [
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],
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"submitted_measurement_ids": [
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"ebbfb544-3444-49a1-b039-83fbb8d82107",
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"5ebe4b98-3b62-4539-a495-51f70503fce3",
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"14ad4ea2-3233-4132-b95c-77d7a487d3b3",
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"009a7656-d209-4c37-9494-4eee7084e41d",
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"956f6f5b-2600-49b3-9343-2f991cdce92c",
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"72e4d65d-163e-4281-a5c6-fe0c496647ff"
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],
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"revision_id": "f6b289a0-d3d4-4c41-bbd4-4e434abd5b83",
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"revision_no": 5,
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"source_fingerprint": "631b8fbe96322206687d7ef6ad692e9ddf1a9722b16b4a41429483546800d6d7",
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"session_statuses": [
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"on_track",
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"on_track",
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"watch",
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"on_track",
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"on_track"
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],
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"learner_teacher_projection_equal": true,
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"next_question_count": 1,
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"alert_promotion_count": 0
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},
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"postgres": {
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"measurement_event_count": 30,
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"distinct_measurement_count": 30,
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"session_count": 10,
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"source_kinds": [
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"learner_reported"
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],
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"perspectives": [
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"learner_self_report"
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],
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"instrument_ids": [
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"vignette-session-outcome-checkin"
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],
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"instrument_versions": [
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"1.0.0"
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],
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"all_nonclinical": true,
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"all_have_submission_provenance": true,
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"revision_chains": [
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{
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"case_id": "0a450686-0fa2-4a2f-a2d9-bb330a66db59",
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"revision_count": 5,
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"first_revision": 1,
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"last_revision": 5,
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"fingerprint_count": 5,
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"superseding_revision_count": 4,
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"computed_roles": [
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"learner"
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]
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},
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{
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"case_id": "3cc6fd3d-2f07-48fe-953d-892220032969",
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"revision_count": 5,
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"first_revision": 1,
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"last_revision": 5,
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"fingerprint_count": 5,
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"superseding_revision_count": 4,
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"computed_roles": [
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"learner"
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]
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}
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],
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"latest_observation_snapshot_count": 30,
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"all_measurements_linked_to_observation_ledger": true,
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"producer_store_evaluator_boundary_proved": true
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}
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}
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