e8da53490c
PR-3 의 결과 화면 [AI 해설 보기] 실시간 호출이 클릭 시 8~30초 대기. 풀이 직후
백그라운드 batch 로 미리 생성해 캐시 hit. 환각 가드는 PR-3 보다 강화 — envelope
JSON {answer_choice, explanation_md, confidence} + answer_choice == correct_choice
검증 + evidence 의무.
processing_queue 가 documents.id FK 라 study_questions 에 직접 재사용 불가 →
별도 study_question_jobs 테이블 + 별도 consumer.
Backend:
- migrations/231 — study_question_jobs CREATE TABLE (13컬럼, kind 권장값
'explanation' / 'session_summary' 예약, status pending/processing/completed/
failed/skipped, max_attempts=2)
- migrations/232 — partial unique idx (qid, kind) WHERE status IN
(pending, processing) — active 행 중복 차단, terminal 이력 누적 허용
- models/study_question_job — ORM + enqueue_study_question_job() 헬퍼
(on_conflict_do_nothing 멱등)
- prompts/study_explanation_envelope.txt — envelope 형식 프롬프트
(answer_choice 1~4 강제, confidence high/medium/low)
- workers/study_explanation_worker — terminal status 분기:
· evidence 둘 다 빈 리스트 → job/question 모두 skipped (LLM 호출 X)
· answer_choice != correct_choice → guard_fail / failed (재시도 X)
· timeout/parse → 재시도 후보 (max_attempts=2)
· catch-all except → unknown 명시 + retryable 분기
· question.ai_explanation_status='ready' 이미 박혀있으면 즉시 completed
· confidence 는 job.payload 에 보존 (운영 분석)
- workers/study_queue_consumer — APScheduler 1분 주기, BATCH_SIZE=1, MLX gate
Semaphore(1) 공유. STALE_MINUTES=10 자체 복구
- main.py — scheduler.add_job(consume_study_queue, ..., id='study_queue_consumer')
- services/study/explanation_enqueue — finalize + GET fallback 공유 헬퍼:
filter_needs_explanation (study_questions status + 최신 job error_code 필터,
guard_fail/evidence_missing 인 마지막 job 은 자동 재enqueue 제외) +
enqueue_explanation_for_qids (max_count cap)
- session_finalize — 끝에서 wrong/unsure qid prefetch enqueue (best-effort,
실패해도 finalize 자체 안 깨짐)
- api/study_topics get_quiz_session — done 세션에서 backfill enqueue (max=30,
non-blocking, debug 로그)
대상 조건: ai_explanation_status IN ('none', 'failed') OR ai_explanation IS NULL.
stale / skipped / pending / ready 는 자동 enqueue 대상 X. stale 재생성은 PR-3
명시 [다시 생성] 또는 후속 Phase 에서.
Plan: ~/.claude/plans/nifty-sparking-spindle.md (Phase 4-A)
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
293 lines
11 KiB
Python
293 lines
11 KiB
Python
"""세션 종료 시 progress upsert + pattern 갱신 + 복습 stage 갱신 (Phase 1).
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호출 시점: 마지막 attempt 가 박혀 status='done' 으로 전이된 직후.
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한 트랜잭션 안에서 처리 — caller 가 commit 책임.
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책임:
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1. 이 세션의 attempts qid 별 그룹
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2. 각 qid 별 progress upsert:
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- last_outcome / last_attempted_at / last_attempt_id 갱신
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- 최근 3회 attempts (이번 세션 + 과거) 로 pattern_state 계산
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- pattern_window_attempts 갱신
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3. 만약 progress.due_at IS NOT NULL (이미 복습 큐에 있던 문제):
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- correct → review_stage += 1, due_at 다음 단계 (1→3→7→14일)
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- stage ≥ 4 → due_at = NULL (학습완료)
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- wrong/unsure → review_stage = 0, due_at = now()+1일
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4. progress.due_at IS NULL 인 일반 풀이 결과는 due_at/stage 건드리지 않음
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5. 세션 결과 요약 dict 반환
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attempts 원본 수정 0건. progress upsert 만.
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"""
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from __future__ import annotations
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from collections import defaultdict
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from dataclasses import dataclass
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from datetime import datetime, timedelta, timezone
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from sqlalchemy import select
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from sqlalchemy.ext.asyncio import AsyncSession
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from models.study_question import StudyQuestion, StudyQuestionAttempt
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from models.study_question_progress import StudyQuestionProgress
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from models.study_quiz_session import StudyQuizSession
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from services.study.learning_pattern import (
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PATTERN_CHRONIC_WRONG,
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PATTERN_RECOVERED,
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PATTERN_REGRESSED,
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PATTERN_STABLE,
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attempts_from_rows,
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compute_pattern_state,
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)
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# review_stage 별 다음 due_at interval (days)
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REVIEW_INTERVAL_DAYS = {1: 3, 2: 7, 3: 14}
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REVIEW_STAGE_MASTERED = 4
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DEFAULT_FIRST_DUE_DAYS = 1
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@dataclass
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class SessionSummary:
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"""세션 결과 요약 — 응답 payload 직전 단계."""
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correct: int
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wrong: int
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unsure: int
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skipped: int
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# 상태 변화 카운트
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newly_correct: int # 처음 푸는데 맞힘 (이전 attempts 0건)
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relapsed: int # 이전 정답이었으나 이번 wrong
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recovered: int # pattern_state = recovered 새로 박힘
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chronic_remaining: int # 이번 세션 후 chronic_wrong 으로 박힌 행 수
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# 바로 할 일 후보
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pending_review_count: int # wrong/unsure + 미확인 (last_reviewed_at < last_attempted_at)
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chronic_count: int # pattern_state = chronic_wrong
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regressed_count: int # pattern_state = regressed
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async def finalize_session(
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session: AsyncSession,
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*,
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user_id: int,
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study_topic_id: int,
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quiz_session_id: int,
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) -> SessionSummary:
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"""세션 종료 후처리. caller 가 commit. 멱등성 — 두 번 호출되어도 결과 같음."""
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# 1. 이 세션 attempts 시간순
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session_attempts = (
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await session.execute(
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select(StudyQuestionAttempt)
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.where(
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StudyQuestionAttempt.quiz_session_id == quiz_session_id,
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StudyQuestionAttempt.user_id == user_id,
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)
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.order_by(StudyQuestionAttempt.answered_at.asc(), StudyQuestionAttempt.id.asc())
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)
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).scalars().all()
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if not session_attempts:
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return SessionSummary(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0)
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# qid 그룹: 한 세션 안에 같은 qid 가 두 번 박힐 가능성 거의 없지만 안전하게.
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last_per_qid: dict[int, StudyQuestionAttempt] = {}
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for a in session_attempts:
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last_per_qid[a.study_question_id] = a # 시간 순 정렬이라 마지막이 최종
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qids = list(last_per_qid.keys())
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# 2. 기존 progress 행 일괄 fetch
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existing = (
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await session.execute(
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select(StudyQuestionProgress)
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.where(
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StudyQuestionProgress.user_id == user_id,
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StudyQuestionProgress.study_topic_id == study_topic_id,
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StudyQuestionProgress.study_question_id.in_(qids),
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)
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)
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).scalars().all()
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progress_by_qid: dict[int, StudyQuestionProgress] = {p.study_question_id: p for p in existing}
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# 3. qid 별 과거 attempts 일괄 fetch (이 세션 attempts 까지 포함, 시간순)
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history_rows = (
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await session.execute(
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select(StudyQuestionAttempt)
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.where(
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StudyQuestionAttempt.user_id == user_id,
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StudyQuestionAttempt.study_topic_id == study_topic_id,
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StudyQuestionAttempt.study_question_id.in_(qids),
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)
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.order_by(
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StudyQuestionAttempt.study_question_id.asc(),
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StudyQuestionAttempt.answered_at.asc(),
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StudyQuestionAttempt.id.asc(),
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)
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)
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).scalars().all()
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history_by_qid: dict[int, list[StudyQuestionAttempt]] = defaultdict(list)
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for r in history_rows:
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history_by_qid[r.study_question_id].append(r)
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now = datetime.now(timezone.utc)
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# 카운터 초기화
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correct = wrong = unsure = skipped = 0
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newly_correct = relapsed = recovered_count = 0
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chronic_remaining = 0
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for qid, last_attempt in last_per_qid.items():
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outcome = last_attempt.outcome
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if outcome == "correct":
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correct += 1
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elif outcome == "wrong":
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wrong += 1
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elif outcome == "unsure":
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unsure += 1
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elif outcome == "skipped":
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skipped += 1
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history = history_by_qid.get(qid, [])
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# 이번 세션 이전 attempts 만 (status 변화 판단용)
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prior = [a for a in history if a.id != last_attempt.id]
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# 상태 변화 카운트
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if not prior:
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if outcome == "correct":
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newly_correct += 1
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else:
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prior_last_outcome = prior[-1].outcome
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if prior_last_outcome == "correct" and outcome == "wrong":
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relapsed += 1
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# pattern 계산
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pattern_state, window_size = compute_pattern_state(attempts_from_rows(history))
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if pattern_state == PATTERN_RECOVERED and (
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qid not in progress_by_qid
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or progress_by_qid[qid].pattern_state != PATTERN_RECOVERED
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):
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recovered_count += 1
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if pattern_state == PATTERN_CHRONIC_WRONG:
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chronic_remaining += 1
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# progress upsert
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progress = progress_by_qid.get(qid)
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if progress is None:
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progress = StudyQuestionProgress(
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user_id=user_id,
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study_topic_id=study_topic_id,
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study_question_id=qid,
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)
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session.add(progress)
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progress_by_qid[qid] = progress
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progress.last_outcome = outcome
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progress.last_attempted_at = last_attempt.answered_at
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progress.last_attempt_id = last_attempt.id
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progress.pattern_state = pattern_state
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progress.pattern_updated_at = now
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progress.pattern_window_attempts = window_size
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# 복습 stage 갱신 — 이미 due_at 박힌 문제만
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if progress.due_at is not None:
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if outcome == "correct":
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progress.review_stage = (progress.review_stage or 0) + 1
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if progress.review_stage >= REVIEW_STAGE_MASTERED:
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progress.due_at = None # 학습완료
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else:
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days = REVIEW_INTERVAL_DAYS[progress.review_stage]
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progress.due_at = now + timedelta(days=days)
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elif outcome in ("wrong", "unsure"):
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progress.review_stage = 0
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progress.due_at = now + timedelta(days=DEFAULT_FIRST_DUE_DAYS)
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# skipped 는 due_at 그대로 (큐 유지, stage 변경 안 함)
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# progress.due_at IS NULL 일반 풀이 → stage 건드리지 않음
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# 4. 바로 할 일 카운트 (요약 응답용) — finalize 직후 progress 상태 기준 SQL 한 번
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pending_review_count = await _count_pending_review(session, user_id, study_topic_id)
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chronic_count = await _count_pattern(session, user_id, study_topic_id, PATTERN_CHRONIC_WRONG)
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regressed_count = await _count_pattern(session, user_id, study_topic_id, PATTERN_REGRESSED)
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# 5. quiz_session row 에 스냅샷 영속화 (Phase 2-B). 결과 화면 헤더 노출 + 멱등.
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qs = await session.get(StudyQuizSession, quiz_session_id)
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if qs is not None:
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qs.newly_correct_count = newly_correct
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qs.relapsed_count = relapsed
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qs.recovered_count = recovered_count
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qs.chronic_remaining_count = chronic_remaining
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# 6. Phase 4-A: 이 세션의 wrong/unsure qid AI 풀이 prefetch enqueue (best-effort).
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# 실패가 finalize 자체를 깨뜨리지 않도록 try/except 로 격리. 응답 카운트와 무관.
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try:
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from services.study.explanation_enqueue import enqueue_explanation_for_qids
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wrong_unsure_qids = [
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qid for qid, a in last_per_qid.items()
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if a.outcome in ("wrong", "unsure")
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]
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if wrong_unsure_qids:
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res = await enqueue_explanation_for_qids(
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session, user_id=user_id, qids=wrong_unsure_qids,
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)
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import logging
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logging.getLogger(__name__).info(
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"phase4a_finalize_enqueue session=%s candidates=%s enqueued=%s skipped=%s",
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quiz_session_id, res["candidate_count"], res["enqueue_count"], res["skipped_count"],
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)
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except Exception as e:
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import logging
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logging.getLogger(__name__).warning(
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"phase4a_finalize_enqueue_failed session=%s: %s: %s",
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quiz_session_id, type(e).__name__, e,
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)
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return SessionSummary(
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correct=correct,
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wrong=wrong,
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unsure=unsure,
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skipped=skipped,
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newly_correct=newly_correct,
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relapsed=relapsed,
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recovered=recovered_count,
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chronic_remaining=chronic_remaining,
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pending_review_count=pending_review_count,
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chronic_count=chronic_count,
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regressed_count=regressed_count,
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)
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async def _count_pending_review(session: AsyncSession, user_id: int, topic_id: int) -> int:
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"""pending_review 탭 조건 기반 카운트."""
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from sqlalchemy import and_, func, or_
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row = await session.execute(
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select(func.count())
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.select_from(StudyQuestionProgress)
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.where(
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StudyQuestionProgress.user_id == user_id,
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StudyQuestionProgress.study_topic_id == topic_id,
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StudyQuestionProgress.last_outcome.in_(("wrong", "unsure")),
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or_(
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StudyQuestionProgress.last_reviewed_at.is_(None),
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and_(
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StudyQuestionProgress.last_reviewed_at.is_not(None),
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StudyQuestionProgress.last_attempted_at.is_not(None),
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StudyQuestionProgress.last_reviewed_at
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< StudyQuestionProgress.last_attempted_at,
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),
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),
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)
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)
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return int(row.scalar() or 0)
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async def _count_pattern(
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session: AsyncSession, user_id: int, topic_id: int, pattern: str
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) -> int:
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from sqlalchemy import func
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row = await session.execute(
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select(func.count())
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.select_from(StudyQuestionProgress)
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.where(
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StudyQuestionProgress.user_id == user_id,
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StudyQuestionProgress.study_topic_id == topic_id,
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StudyQuestionProgress.pattern_state == pattern,
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)
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)
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return int(row.scalar() or 0)
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