개선관리 요구사항과 Google 로그인을 완료
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Yun Chan
parent
cc0a15b7c6
commit
2a39636163
112 changed files with 10166 additions and 527 deletions
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@ -71,6 +71,14 @@ def _value(row: Mapping[str, Any], key: str, default: Any = None) -> Any:
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return default
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def _public_row(row: Mapping[str, Any]) -> dict[str, Any]:
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"""API 응답에서 학습자 피드백 정책 판정 전용 열을 제거한다."""
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payload = dict(row)
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payload.pop("source_learner_feedback_enabled", None)
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return payload
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def _canonical_hash(payload: Mapping[str, Any]) -> str:
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serialized = json.dumps(
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payload,
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@ -1544,10 +1552,17 @@ async def read_calibration_transfer(
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histories = list(
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await conn.fetch(
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"""
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SELECT history_id, session_id, competency_id, practice_block_id,
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scenario_variant_id, phrase_family_id, created_at
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FROM app.calibration_prediction_history
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WHERE learner_id = $1 ORDER BY created_at, history_id
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SELECT history.history_id, history.session_id,
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history.competency_id, history.practice_block_id,
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history.scenario_variant_id, history.phrase_family_id,
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history.created_at,
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source_session.learner_feedback_enabled
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AS source_learner_feedback_enabled
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FROM app.calibration_prediction_history history
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JOIN app.sessions source_session
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ON source_session.id = history.session_id
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WHERE history.learner_id = $1
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ORDER BY history.created_at, history.history_id
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""",
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target_learner_id,
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)
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@ -1615,10 +1630,13 @@ async def read_calibration_transfer(
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a.source_observation_ids, a.assessment_payload,
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a.model_run_id, a.instrument_id, a.instrument_version,
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a.evidence_turn_ids, a.created_at,
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p.prescription_id, p.prescription_payload
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p.prescription_id, p.prescription_payload,
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source_session.learner_feedback_enabled
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AS source_learner_feedback_enabled
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FROM app.calibration_assessment_snapshot a
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JOIN app.calibration_metacognitive_prescription p
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ON p.assessment_snapshot_id = a.assessment_snapshot_id
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JOIN app.sessions source_session ON source_session.id = a.session_id
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WHERE a.learner_id = $1
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ORDER BY a.competency_id, a.snapshot_no
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""",
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@ -1628,12 +1646,18 @@ async def read_calibration_transfer(
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suites = list(
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await conn.fetch(
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"""
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SELECT transfer_suite_record_id, submission_id, suite_key,
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session_id, training_phrase_family_ids, model_run_id,
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instrument_id, instrument_version, data_classification,
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clinical_claim_allowed, created_at
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FROM app.calibration_transfer_suite
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WHERE learner_id = $1 ORDER BY created_at, transfer_suite_record_id
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SELECT suite.transfer_suite_record_id, suite.submission_id,
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suite.suite_key, suite.session_id,
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suite.training_phrase_family_ids, suite.model_run_id,
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suite.instrument_id, suite.instrument_version,
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suite.data_classification, suite.clinical_claim_allowed,
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suite.created_at,
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source_session.learner_feedback_enabled
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AS source_learner_feedback_enabled
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FROM app.calibration_transfer_suite suite
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JOIN app.sessions source_session ON source_session.id = suite.session_id
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WHERE suite.learner_id = $1
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ORDER BY suite.created_at, suite.transfer_suite_record_id
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""",
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target_learner_id,
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)
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@ -1715,14 +1739,29 @@ async def read_calibration_transfer(
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actual_event_rows = list(
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await conn.fetch(
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"""
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SELECT *
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FROM app.calibration_transfer_execution_event
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WHERE learner_id = $1
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ORDER BY competency_id, created_at, execution_event_id
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SELECT execution.*,
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practice_session.learner_feedback_enabled
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AS source_learner_feedback_enabled
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FROM app.calibration_transfer_execution_event execution
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JOIN app.sessions practice_session
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ON practice_session.id = execution.practice_session_id
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WHERE execution.learner_id = $1
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ORDER BY execution.competency_id, execution.created_at,
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execution.execution_event_id
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""",
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target_learner_id,
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)
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)
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learner_feedback_snapshot_enabled = all(
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bool(
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_value(
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item,
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"source_learner_feedback_enabled",
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True,
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)
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)
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for item in (*histories, *assessments, *suites, *actual_event_rows)
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)
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revisions_by_history: dict[UUID, list[dict[str, Any]]] = {}
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for row in revisions:
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@ -1737,7 +1776,7 @@ async def read_calibration_transfer(
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}
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prediction_histories: list[dict[str, Any]] = []
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for row in histories:
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item = dict(row)
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item = _public_row(row)
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history_id = UUID(str(_value(row, "history_id")))
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item["revisions"] = revisions_by_history.get(history_id, [])
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item["lock"] = locks_by_history.get(history_id)
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@ -1760,7 +1799,7 @@ async def read_calibration_transfer(
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).append(dict(row))
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suite_payloads: list[dict[str, Any]] = []
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for row in suites:
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item = dict(row)
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item = _public_row(row)
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suite_id = UUID(str(_value(row, "transfer_suite_record_id")))
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item["trials"] = trials_by_suite.get(suite_id, [])
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item["assessments"] = assessments_by_suite.get(suite_id, [])
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@ -1774,8 +1813,9 @@ async def read_calibration_transfer(
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"learner_id": target_learner_id,
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"requested_view": requested_view,
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"clinical_claim_allowed": False,
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"_learner_feedback_snapshot_enabled": learner_feedback_snapshot_enabled,
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"prediction_histories": prediction_histories,
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"calibration_assessments": [dict(item) for item in assessments],
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"calibration_assessments": [_public_row(item) for item in assessments],
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"transfer_suites": suite_payloads,
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"teacher_reviews": [dict(item) for item in reviews],
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"actual_executions": [
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