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hyungi f38ec177d7 feat(study): 개념 학습 리더 (Stage A) — 구조 파싱·떠올리기·백링크
이론공부 개선 B→A→C 의 A. 개념노트를 구조(요약/본문/빈출★/관련개념)로 렌더 + 능동 회상(떠올리기) + 관련개념 백링크 + 이전/다음.
- concept_parser: md 골격 파서(273/273 불변식) + 관련개념 백링크 해소(exact→title⊆phrase substring, 과대매치 가드)
- concept_curriculum.concept_detail + GET /api/study/concepts/{id} (개념문서 태그 스코프)
- /study/read/[docId] 리더(MarkdownDoc KaTeX+docimg 재사용·읽기/떠올리기 모드) + 홈 오늘의개념 링크 연결
- 적대리뷰 5건 반영(이중로드·substring 오결선·엔드포인트 스코프·prev/next 결정성·in-flight 가드). 마이그 없음·문제풀이 무접촉

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-01 11:51:40 +09:00

285 lines
10 KiB
Python

"""concept_curriculum — 이론공부 홈 재료 (오늘의 개념 · 진도 · 회독 SR).
개념문서 = documents (user_tags = @library/{topic}/{과목}/... , 가스기사). is_read = 회독,
md_content 의 ★ 개수 = 빈출 tier(★★★=3 / ★★=2 / else 1). 회독 SR = study_concept_progress
+ sr_schedule(문제 SR 공용 산술). 읽기 전용 집계 + mark_read(회독+SR 입고)만 write. LLM 0.
문제풀이 표면 무접촉 — 여기서 읽는 study_question_progress 는 '문항 due 카운트'만(홈 표시용).
"""
from __future__ import annotations
from datetime import datetime, timezone
from sqlalchemy import func, or_, select, text
from sqlalchemy.ext.asyncio import AsyncSession
from models.document_read import DocumentRead
from models.study_concept_progress import StudyConceptProgress
from models.study_question_progress import StudyQuestionProgress
from models.study_topic import StudyTopic
from services.study.concept_parser import parse_concept, resolve_related
from services.study.sr_schedule import advance, first_due
# 개념 행 조회 — 태그로 개념문서 필터 + 회독 진행 LEFT JOIN. md_content 는 전송 안 하고
# ★ 유무만 서버측 boolean 으로(홈이 자주 호출돼도 페이로드 최소).
# is_read = document_reads(회독 정본, is_read 컬럼 아님) EXISTS. library unread 와 동일 기준.
_CONCEPT_ROWS_SQL = text(
"""
SELECT d.id AS doc_id,
d.title AS title,
EXISTS (
SELECT 1 FROM document_reads r
WHERE r.document_id = d.id AND r.user_id = :uid
) AS is_read,
(d.md_content LIKE '%★★★%') AS f3,
(d.md_content LIKE '%★★%') AS f2,
split_part(replace(d.user_tags::text, '"', ''), '/', 3) AS subject,
p.review_stage AS review_stage,
p.due_at AS due_at,
p.last_read_at AS last_read_at
FROM documents d
LEFT JOIN study_concept_progress p
ON p.concept_doc_id = d.id AND p.user_id = :uid
WHERE d.user_tags::text LIKE :like
AND d.deleted_at IS NULL
"""
)
async def _topic_name(session: AsyncSession, topic_id: int) -> str | None:
return (
await session.execute(select(StudyTopic.name).where(StudyTopic.id == topic_id))
).scalar_one_or_none()
async def _concept_rows(session: AsyncSession, user_id: int, topic_name: str):
like = f"%@library/{topic_name}/%"
return (
await session.execute(_CONCEPT_ROWS_SQL, {"uid": user_id, "like": like})
).mappings().all()
def _freq(row) -> int:
if row["f3"]:
return 3
if row["f2"]:
return 2
return 1
def _is_due(row, now: datetime) -> bool:
return (
row["due_at"] is not None
and row["due_at"] <= now
and (row["review_stage"] or 0) < 4
)
def _item(row) -> dict:
return {
"doc_id": row["doc_id"],
"title": row["title"],
"subject": row["subject"],
"freq": _freq(row),
"review_stage": row["review_stage"],
"due_at": row["due_at"],
}
async def _question_due_count(session: AsyncSession, user_id: int, topic_id: int, now: datetime) -> int:
"""문항 복습 due (기존 study_question_progress 엔진 재사용, 홈 표시용)."""
return (
await session.execute(
select(func.count())
.select_from(StudyQuestionProgress)
.where(
StudyQuestionProgress.user_id == user_id,
StudyQuestionProgress.study_topic_id == topic_id,
StudyQuestionProgress.due_at.is_not(None),
StudyQuestionProgress.due_at <= now,
or_(
StudyQuestionProgress.review_stage.is_(None),
StudyQuestionProgress.review_stage < 4,
),
)
)
).scalar_one()
async def curriculum(session: AsyncSession, user_id: int, topic_id: int) -> dict:
"""과목별 회독 진도 + 개념/문항 복습 due 요약 (진도 대시보드)."""
name = await _topic_name(session, topic_id)
rows = await _concept_rows(session, user_id, name) if name else []
now = datetime.now(timezone.utc)
subj: dict[str, dict] = {}
for r in rows:
s = subj.setdefault(r["subject"], {"subject": r["subject"], "total": 0, "read": 0})
s["total"] += 1
if r["is_read"]:
s["read"] += 1
total = len(rows)
read = sum(1 for r in rows if r["is_read"])
concept_due = sum(1 for r in rows if _is_due(r, now))
question_due = await _question_due_count(session, user_id, topic_id, now)
return {
"topic_id": topic_id,
"topic_name": name,
"subjects": sorted(subj.values(), key=lambda x: x["subject"]),
"total": total,
"read": read,
"concept_due": concept_due,
"question_due": question_due,
}
async def today_concepts(
session: AsyncSession, user_id: int, topic_id: int, limit: int = 6
) -> dict:
"""오늘 공부할 개념 = 재복습(SR due) 먼저 → 미독(빈출 우선). 졸업/재복습대기 제외."""
name = await _topic_name(session, topic_id)
rows = await _concept_rows(session, user_id, name) if name else []
now = datetime.now(timezone.utc)
due = [r for r in rows if _is_due(r, now)]
due.sort(key=lambda r: r["due_at"])
# 미독 & 아직 SR 큐 진입 전(due_at NULL) → 빈출 높은 순
unread = [r for r in rows if not r["is_read"] and r["due_at"] is None]
unread.sort(key=lambda r: (-_freq(r), r["subject"], r["title"]))
picked = [{**_item(r), "reason": "재복습"} for r in due]
picked += [{**_item(r), "reason": "신규"} for r in unread]
return {
"concepts": picked[:limit],
"due_total": len(due),
"unread_total": len(unread),
}
async def mark_read(
session: AsyncSession, user_id: int, topic_id: int, doc_id: int, now: datetime | None = None
) -> dict:
"""개념 회독 처리 = document_reads(+1) + 회독 SR 입고/전진.
회독 정본 = document_reads(append-only), documents.is_read 컬럼 아님(library unread 와 정합).
첫 회독 → first_due(stage 0, 내일). 이후 회독은 'due 도래(due_at<=now)' 때만 correct 로 전진
(이른 재열람/다중클릭 과전진 방지). stage 4 졸업 후엔 due_at NULL 이라 전진 없음.
"""
now = now or datetime.now(timezone.utc)
# 회독 로그 append (+1) — 사용자 명시 회독. 자동 아님(엔드포인트 = 명시 POST).
session.add(DocumentRead(user_id=user_id, document_id=doc_id, read_at=now))
prog = (
await session.execute(
select(StudyConceptProgress).where(
StudyConceptProgress.user_id == user_id,
StudyConceptProgress.concept_doc_id == doc_id,
)
)
).scalar_one_or_none()
if prog is None:
stage, due = first_due(now)
prog = StudyConceptProgress(
user_id=user_id,
study_topic_id=topic_id,
concept_doc_id=doc_id,
review_stage=stage,
due_at=due,
last_read_at=now,
)
session.add(prog)
else:
# due 도래 시에만 전진 — 미래 due(재열람 이른 클릭)는 stage 불변, last_read_at 만 갱신.
if prog.due_at is not None and prog.due_at <= now:
res = advance(prog.review_stage, "correct", now)
if res is not None:
prog.review_stage, prog.due_at = res
prog.last_read_at = now
await session.commit()
await session.refresh(prog)
return {"ok": True, "review_stage": prog.review_stage, "due_at": prog.due_at}
_CONCEPT_ONE_SQL = text(
"""
SELECT d.id AS doc_id, d.title AS title, d.md_content AS md_content,
split_part(replace(d.user_tags::text, '"', ''), '/', 3) AS subject,
(d.md_content LIKE '%★★★%') AS f3,
(d.md_content LIKE '%★★%') AS f2,
EXISTS (
SELECT 1 FROM document_reads r
WHERE r.document_id = d.id AND r.user_id = :uid
) AS is_read,
p.review_stage AS review_stage,
p.due_at AS due_at
FROM documents d
LEFT JOIN study_concept_progress p ON p.concept_doc_id = d.id AND p.user_id = :uid
WHERE d.id = :doc_id AND d.deleted_at IS NULL AND d.user_tags::text LIKE :like
"""
)
async def concept_detail(
session: AsyncSession, user_id: int, topic_id: int, doc_id: int
) -> dict | None:
"""개념 리더 재료 — md 구조 파싱 + 관련개념 백링크 해소 + 회독/SR 상태 + 같은 과목 이전/다음."""
name = await _topic_name(session, topic_id)
if not name:
return None
like = f"%@library/{name}/%"
row = (
await session.execute(
_CONCEPT_ONE_SQL, {"uid": user_id, "doc_id": doc_id, "like": like}
)
).mappings().first()
if row is None:
return None
parsed = parse_concept(row["md_content"] or "")
# 백링크 해소 + 이전/다음 = 같은 토픽 개념 title 인덱스(회독 rows 재사용)
idx = await _concept_rows(session, user_id, name)
title_index = [(r["doc_id"], r["title"], r["subject"]) for r in idx]
resolved = resolve_related(parsed["related"], title_index)
# 이전/다음 = 같은 과목, title 순
same = sorted(
[(r["doc_id"], r["title"]) for r in idx if r["subject"] == row["subject"]],
key=lambda x: (x[1] or "", x[0]),
)
ids = [d for d, _ in same]
prev_id = next_id = None
if doc_id in ids:
pos = ids.index(doc_id)
if pos > 0:
prev_id = ids[pos - 1]
if pos < len(ids) - 1:
next_id = ids[pos + 1]
freq = 3 if row["f3"] else (2 if row["f2"] else 1)
return {
"doc_id": row["doc_id"],
"db_title": row["title"],
"title": parsed["title"] or row["title"],
"subject": row["subject"],
"freq": freq,
"summary": parsed["summary"],
"body": parsed["body"],
"bincheol": parsed["bincheol"],
"related": resolved,
"is_read": row["is_read"],
"review_stage": row["review_stage"],
"due_at": row["due_at"],
"prev_id": prev_id,
"next_id": next_id,
}