Implement local task 09 training workflows

backend/app/session/finish.py

@@ -10,12 +10,13 @@
 import logging
 from uuid import UUID
 
-from app.domain.events import ScoreReady
+from app.domain.events import Exercise, ScoreReady
 from app.domain.timers import NORMATIVES, TimerCode
 from app.scenarios import store
 from app.scoring.competency import radar
-from app.scoring.dispatcher import evaluate_dispatcher
-from app.scoring.gost import evaluate
+from app.scoring.card import evaluate_card
+from app.scoring.dispatcher import dispatcher_metrics, evaluate_dispatcher
+from app.scoring.gost import GostResult, evaluate
 from app.session.hub import hub
 
 log = logging.getLogger(__name__)
@@ -27,27 +28,36 @@ async def finish(session_id: UUID, state) -> None:
     if scenario is None:
         return
 
-    result = evaluate(
-        scenario=scenario,
-        kio=state.kio,
-        timers=state.timers,
-        revealed_facts=[fact.id for fact in state.slots.revealed_facts()] if state.slots else None,
-        refined_facts=list(state.slots.refined) if state.slots else None,
-        end_reason=state.end_reason,
-        bounced_fields=state.bounced_fields,
-        resolved_outcome=state.resolved_outcome,
-        dispatched=state.dispatched_card is not None,
-    )
+    if state.exercise is Exercise.CARD:
+        result = evaluate_card(scenario, state.dispatched_card or state.kio)
+    elif state.exercise is Exercise.DDS:
+        # В готовой карточке не было входящего звонка, опроса и действий
+        # оператора 112. Ни одна E-метрика здесь не применима.
+        result = GostResult()
+    else:
+        result = evaluate(
+            scenario=scenario,
+            kio=state.kio,
+            timers=state.timers,
+            revealed_facts=[fact.id for fact in state.slots.revealed_facts()] if state.slots else None,
+            refined_facts=list(state.slots.refined) if state.slots else None,
+            end_reason=state.end_reason,
+            bounced_fields=state.bounced_fields,
+            resolved_outcome=state.resolved_outcome,
+            dispatched=state.dispatched_card is not None,
+        )
     # Работа диспетчера — вторая роль и вторая таксономия. Отметки D1–D6 идут
     # рядом с E1–E6, а не вместо: в живой цепочке 112 → ДДС в одном занятии
     # участвуют оба (docs/spec/DATASET.md#статусы-реагирования).
-    dispatcher_findings = evaluate_dispatcher(
-        entries=state.status_log,
-        services=state.notified_services(),
-        deadline_ms=NORMATIVES[TimerCode.DDS_ACK].limit_ms,
-        elapsed_ms=state.timers.measured_ms(TimerCode.DDS_ACK),
-    )
-    result.findings.extend(dispatcher_findings)
+    if state.dispatched_card is not None and state.exercise is not Exercise.CARD:
+        dispatcher_findings = evaluate_dispatcher(
+            entries=state.status_log,
+            services=state.notified_services(),
+            deadline_ms=NORMATIVES[TimerCode.DDS_ACK].limit_ms,
+            elapsed_ms=state.timers.measured_ms(TimerCode.DDS_ACK),
+        )
+        result.findings.extend(dispatcher_findings)
+        result.metrics.extend(dispatcher_metrics(state, NORMATIVES[TimerCode.DDS_ACK].limit_ms))
 
     # Сводка числами: по ней считается дельта между попытками в профиле.
     # Вытаскивать её разбором текста метрик («94 с») — путь к тихим ошибкам.
@@ -84,5 +94,5 @@ async def finish(session_id: UUID, state) -> None:
 
 async def release_score(session_id: UUID, state) -> None:
     """Отдать оценку курсанту, когда самооценка сдана."""
-    if state.score is not None and state.self_assessed:
+    if state.score is not None and (state.self_assessed or state.exercise is Exercise.CARD):
         hub.to_trainee(session_id, ScoreReady(session_id=session_id))