회기 무발화 0턴 분리, 자기예측 락 불변식 및 TDD 회귀 검증 완료

apps/api/app/services/deliberate_practice_store.py

@@ -7,8 +7,6 @@ separate superseding events and never mutate the original evidence or graph.
 
 from __future__ import annotations
 
-import hashlib
-import json
 from collections.abc import Mapping, Sequence
 from typing import Any
 from uuid import UUID, uuid5
@@ -39,6 +37,12 @@ from .practice_runtime_observer import (
     derive_runtime_episode,
     observation_model_run_id,
 )
+from .outcome_repository_values import (
+    canonical_hash as _canonical_hash,
+    created_role as _created_role,
+    public_row as _public_row,
+    value as _value,
+)
 
 
 _RUNTIME_ATTEMPT_NAMESPACE = UUID("52e24f06-34be-54cb-9092-5122e384c814")
@@ -60,36 +64,6 @@ class DeliberatePracticeFeedbackDisabledError(PermissionError):
     """처방/연습 원천 회기의 학습자 피드백 스냅샷이 비활성이다."""
 
 
-def _value(row: Mapping[str, Any], key: str, default: Any = None) -> Any:
-    try:
-        return row[key]
-    except (KeyError, TypeError):
-        return default
-
-
-def _public_row(row: Mapping[str, Any]) -> dict[str, Any]:
-    """API 응답에서 정책 판정 전용 내부 열을 제거한다."""
-
-    payload = dict(row)
-    payload.pop("source_learner_feedback_enabled", None)
-    return payload
-
-
-def _canonical_hash(payload: Mapping[str, Any]) -> str:
-    serialized = json.dumps(
-        payload,
-        ensure_ascii=False,
-        separators=(",", ":"),
-        sort_keys=True,
-        default=str,
-    )
-    return hashlib.sha256(serialized.encode("utf-8")).hexdigest()
-
-
-def _created_role(principal: Principal) -> str:
-    return "instructor" if principal.role == Role.TEACHER else principal.role.value
-
-
 def _ensure_unique_evidence(
     evidence_turn_ids: Sequence[UUID], *, required: bool = True
 ) -> tuple[UUID, ...]: