회기 원장 상태 복원 보강

apps/web/src/pages/session-review/DeliberatePracticeCard.tsx

@@ -216,18 +216,24 @@ function latestEpisodeFor(
   prescription: PracticePrescriptionItem,
   episodes: PracticeEpisodeItem[],
 ): PracticeEpisodeItem | null {
-  const matching = episodes.filter((episode) => {
-    const payload = episode.assessment_payload as Record<string, unknown>;
-    return (
-      payload.prescription_id === prescription.prescription_key ||
-      payload.prescription_id ===
-        prescription.prescription_payload.prescription_id ||
-      payload.competency_id === prescription.competency_id
-    );
-  });
+  const matching = episodes.filter((episode) =>
+    episodeMatchesPrescription(episode, prescription),
+  );
   return matching.at(-1) ?? null;
 }
 
+function episodeMatchesPrescription(
+  episode: PracticeEpisodeItem,
+  prescription: PracticePrescriptionItem,
+): boolean {
+  const payload = episode.assessment_payload as Record<string, unknown>;
+  return (
+    payload.prescription_id === prescription.prescription_key ||
+    payload.prescription_id === prescription.prescription_payload.prescription_id ||
+    payload.competency_id === prescription.competency_id
+  );
+}
+
 interface RuntimeObservationSnapshot {
   progress: PracticeProgress;
   attemptCount: number;
@@ -272,6 +278,24 @@ function runtimeObservationSnapshot(
   };
 }
 
+function runtimeEpisodeForSession(
+  data: DeliberatePracticeReadModel,
+  intent: PracticeLaunchIntent,
+  sessionId: string,
+): PracticeEpisodeItem | null {
+  const prescription = prescriptionForLaunchIntent(data, intent);
+  if (!prescription) return null;
+  return (
+    data.episodes
+      .filter(
+        (episode) =>
+          episode.session_id === sessionId &&
+          episodeMatchesPrescription(episode, prescription),
+      )
+      .at(-1) ?? null
+  );
+}
+
 function prioritizedPrescriptions(
   data: DeliberatePracticeReadModel,
 ): PracticePrescriptionItem[] {
@@ -974,16 +998,25 @@ function RuntimePracticeObservation({
   data: DeliberatePracticeReadModel;
   onObserved: () => void;
 }) {
+  const persistedRuntimeEpisode = runtimeEpisodeForSession(
+    data,
+    intent,
+    sessionId,
+  );
   const [baseline, setBaseline] = useState<RuntimeObservationSnapshot>(() =>
     runtimeObservationSnapshot(data, intent),
   );
-  const [state, setState] = useState<RuntimeObservationState>("idle");
+  const [state, setState] = useState<RuntimeObservationState>(() =>
+    persistedRuntimeEpisode ? "success" : "idle",
+  );
   const [result, setResult] =
     useState<PracticeAttemptSubmissionResponse | null>(null);
 
   useEffect(() => {
     setBaseline(runtimeObservationSnapshot(data, intent));
-    setState("idle");
+    setState(
+      runtimeEpisodeForSession(data, intent, sessionId) ? "success" : "idle",
+    );
     setResult(null);
     // read model reload는 반영 전 기준을 바꾸지 않는다. 새 회기나 새 처방만 초기화한다.
     // eslint-disable-next-line react-hooks/exhaustive-deps
@@ -992,6 +1025,8 @@ function RuntimePracticeObservation({
   const connectedPrescription = prescriptionForLaunchIntent(data, intent);
   const current = runtimeObservationSnapshot(data, intent);
   const currentProgress = result?.progress ?? current.progress;
+  const ledgerRecorded = Boolean(result || persistedRuntimeEpisode);
+  const hydratedFromLedger = Boolean(persistedRuntimeEpisode && !result);
 
   if (intent.kind === "transfer") {
     return (
@@ -1085,30 +1120,43 @@ function RuntimePracticeObservation({
             관찰합니다.
           </p>
         </div>
-        <Badge tone={state === "success" ? "accent" : "neutral"}>
-          {state === "success" ? "원장 반영됨" : "학습자만 실행"}
+        <Badge tone={ledgerRecorded ? "accent" : "neutral"}>
+          {ledgerRecorded ? "원장 반영됨" : "학습자만 실행"}
         </Badge>
       </div>
 
       <div className="dp-runtime-observation__comparison">
-        <section>
-          <span>반영 전</span>
-          <strong>{PROGRESS_COPY[baseline.progress].title}</strong>
-          <small>
-            익숙한 장면 근거 {baseline.familiarDemonstrations}회, 새 장면 근거{" "}
-            {baseline.unseenTransferDemonstrations}회
-          </small>
-        </section>
-        {result ? (
+        {hydratedFromLedger ? (
           <section className="is-after">
-            <span>반영 후</span>
+            <span>현재 원장 상태</span>
             <strong>{PROGRESS_COPY[currentProgress].label}</strong>
             <small>
               익숙한 장면 근거 {current.familiarDemonstrations}회, 새 장면 근거{" "}
               {current.unseenTransferDemonstrations}회
             </small>
           </section>
-        ) : null}
+        ) : (
+          <>
+            <section>
+              <span>반영 전</span>
+              <strong>{PROGRESS_COPY[baseline.progress].title}</strong>
+              <small>
+                익숙한 장면 근거 {baseline.familiarDemonstrations}회, 새 장면 근거{" "}
+                {baseline.unseenTransferDemonstrations}회
+              </small>
+            </section>
+            {result ? (
+              <section className="is-after">
+                <span>반영 후</span>
+                <strong>{PROGRESS_COPY[currentProgress].label}</strong>
+                <small>
+                  익숙한 장면 근거 {current.familiarDemonstrations}회, 새 장면 근거{" "}
+                  {current.unseenTransferDemonstrations}회
+                </small>
+              </section>
+            ) : null}
+          </>
+        )}
       </div>
 
       {state === "waiting" ? (
@@ -1126,6 +1174,8 @@ function RuntimePracticeObservation({
           <p>
             {result?.idempotent_replay
               ? "같은 회기 근거를 중복 없이 확인했습니다."
+              : hydratedFromLedger
+                ? "이미 기록된 이 회기 근거를 원장에서 다시 불러왔습니다."
               : "새 관찰 근거를 원장에 반영하고 최신 진행 상태를 다시 불러왔습니다."}
           </p>
         </div>