Files
hyungi_document_server/app/api/study_topics.py
T
Hyungi Ahn 4b7156061e feat(study): 문제은행 + 복습모드 (study_questions)
study_topic 워크스페이스에 4지선다 문제은행 자산 트랙 추가. 기사시험 필기
대비 시나리오 — 빠른 반복 입력 + 과목별 균등 추출 복습 + 정오답 누적.

데이터 모델 (migrations 186~190):
- study_questions: study_topic 1:N, soft delete, is_active 토글, correct_choice
  SMALLINT CHECK 1~4
- study_question_attempts: 답 제출 1행 누적. study_question_id FK는 ON DELETE
  RESTRICT (이력 보존 원칙 — hard delete 실수로 풀이 기록 소실 차단)

설계 원칙:
- 문제 삭제는 API 에서 soft delete only. attempts FK RESTRICT 로 DB 레벨도 보호
- correct_choice 변경 시 기존 attempts.is_correct 재계산 안 함 (시점 사실 보존)
- 복습 default = 과목별 target_per_subject(20) 무작위 균등 추출. 한 과목이
  부족하면 가용한 만큼만
- wrong_only=true 정의 = 가장 최근 attempt 가 오답인 문제 (latest-wrong, ever-wrong 아님)
- 출제 응답에서 정답·해설 비공개. 답 제출 시점에만 노출
- subject/scope 강한 enum 미사용 (자유 텍스트, 자동완성은 후속)

API: /api/study-topics/{id}/questions, /review/questions, /api/study-questions/{id},
/attempt. 통합뷰(/study-topics/{id}) 응답에 sections.questions / stats.question_count
추가. 기존 question_set_count 는 후속 PR(회차/모의고사 묶음)용으로 보존.

프론트: /study/topics/[id]에 문제 섹션 + "새 문제"/"복습 시작" 진입.
/questions/new (저장 후 계속 입력 + sessionStorage persistent),
/questions/[qid]/edit (정답 변경 시 attempts 재계산 안 됨 안내 배너),
/review (시작 옵션 → 풀이 → 마지막 요약).

후속 PR 예정: 오답노트/취약 과목 리포트, AI 해설/클러스터링, spaced
repetition, 이미지 OCR 입력, CSV import, study_question_sets 묶음.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-28 08:00:37 +09:00

871 lines
29 KiB
Python

"""학습 워크스페이스(study_topic) API — 필기 세션 + 자료(library document) 묶음 컨테이너
핵심 개념:
- study_topic 은 단순 폴더/태그가 아니라 학습 자산 1차 컨테이너 (학습 워크스페이스).
- 향후 단어장/오디오/문제 세트 같은 자산이 같은 컨테이너 아래로 들어올 수 있도록
응답 구조를 sections + stats 형태로 설계 (현재는 sessions / documents 두 키만).
- documents.category(자료실 UI 축) 와 직교한 별도 분류 축. 자료실 facet/카테고리는 미터치.
- StudySession.certification/subject/topic 은 보존 — 본 컨테이너 와 직교한 세부 메타.
설계 제약:
- study_type 은 강한 enum 미사용. VALID_STUDY_TYPES 는 단순 권장값 (DB/Pydantic 강제 안 함).
- soft delete (deleted_at). active 행끼리만 (user_id, name) partial unique.
- 권한: 모든 쿼리에 user_id 강제. 다른 사용자 자료를 묶지 못함.
- 문서 매핑은 N:M (study_topic_documents). 세션 매핑은 1:N (study_sessions.study_topic_id).
- polymorphic 단일 study_topic_items 테이블은 만들지 않는다 (영구 금지).
"""
import logging
from datetime import datetime, timezone
from typing import Annotated, Any
from fastapi import APIRouter, Depends, HTTPException, Query
from pydantic import BaseModel, Field
from sqlalchemy import and_, delete, func, select, text as sql_text, update
from sqlalchemy.exc import IntegrityError
from sqlalchemy.ext.asyncio import AsyncSession
from core.auth import get_current_user
from core.database import get_session
from core.library import LIBRARY_PREFIX, normalize_library_path
from models.document import Document
from models.study_session import StudySession
from models.study_topic import StudyTopic, StudyTopicDocument
from models.user import User
logger = logging.getLogger(__name__)
router = APIRouter()
# ─── 권장값 (강제 enum 아님, UI 안내용) ───
RECOMMENDED_STUDY_TYPES: set[str] = {
"certification", "language", "school", "work", "general",
}
# ─── Pydantic 스키마 ───
class StudyTopicCreate(BaseModel):
name: str = Field(min_length=1, max_length=120)
description: str | None = None
color: str | None = Field(default=None, max_length=20)
study_type: str | None = Field(default=None, max_length=40)
sort_order: int = 0
class StudyTopicUpdate(BaseModel):
name: str | None = Field(default=None, min_length=1, max_length=120)
description: str | None = None
color: str | None = Field(default=None, max_length=20)
study_type: str | None = Field(default=None, max_length=40)
sort_order: int | None = None
class StudyTopicResponse(BaseModel):
"""주제 목록 응답 — 집계 카운트 포함."""
id: int
name: str
description: str | None
color: str | None
study_type: str | None
sort_order: int
session_count: int = 0
document_count: int = 0
question_count: int = 0
created_at: datetime
updated_at: datetime
class StudyTopicListResponse(BaseModel):
items: list[StudyTopicResponse]
total: int
class StudyTopicSessionSummary(BaseModel):
"""상세 뷰의 세션 카드 페이로드 — 통합 뷰 렌더용 최소 필드."""
id: int
study_type: str
certification: str | None
language_code: str | None
learning_level: str | None
subject: str | None
topic: str | None
mode: str
repetition_count: int
review_state: str | None
created_at: datetime
updated_at: datetime
class StudyTopicDocumentSummary(BaseModel):
"""상세 뷰의 자료 카드 페이로드."""
id: int
title: str | None
file_format: str
file_type: str
category: str | None
ai_domain: str | None
importance: str | None
sort_order: int
linked_at: datetime
class StudyTopicQuestionSummary(BaseModel):
"""상세 뷰의 문제 카드 페이로드 — 정답·해설 비공개, 본문 80자 truncate."""
id: int
question_text: str
subject: str | None
scope: str | None
exam_name: str | None
exam_round: str | None
is_active: bool
attempt_count: int
last_correct: bool | None
created_at: datetime
class StudyTopicSections(BaseModel):
"""확장 친화 dict — 향후 audio_assets / vocab_decks 키 추가 가능."""
sessions: list[StudyTopicSessionSummary]
documents: list[StudyTopicDocumentSummary]
questions: list[StudyTopicQuestionSummary] = []
class StudyTopicStats(BaseModel):
"""자산 카운트 — 0 으로 미리 노출해서 후속 PR 에서 필드만 채움.
question_count = PR-2 단일 문제 수. question_set_count = 후속 PR 의 회차/모의고사 묶음 수 (둘은 의미 다름).
"""
session_count: int
document_count: int
question_count: int = 0
audio_count: int = 0
vocab_count: int = 0
question_set_count: int = 0
class StudyTopicMeta(BaseModel):
id: int
name: str
description: str | None
color: str | None
study_type: str | None
sort_order: int
created_at: datetime
updated_at: datetime
class StudyTopicDetailResponse(BaseModel):
topic: StudyTopicMeta
sections: StudyTopicSections
stats: StudyTopicStats
class StudyTopicDocumentLinkRequest(BaseModel):
document_ids: list[int] = Field(min_length=1, max_length=100)
class StudyTopicDocumentLinkResponse(BaseModel):
linked: list[int]
skipped_existing: list[int]
skipped_not_found: list[int]
class StudyTopicDocumentByPathRequest(BaseModel):
"""카테고리 트리 노드 일괄 추가용. path prefix 매칭으로 하위 자료 모두 매핑.
include_subtree=True 면 path 와 그 하위 카테고리 전체, False 면 path 정확 일치만.
"""
path: str = Field(min_length=1, max_length=500)
include_subtree: bool = True
class StudyTopicDocumentByPathResponse(BaseModel):
linked_count: int
skipped_existing_count: int
total_in_path: int
path: str
# ─── Helpers ───
def _verify_topic_ownership(topic: StudyTopic | None, user: User) -> StudyTopic:
"""소유자 검증 + soft-deleted 행 차단. mismatch 도 404 (정보 누설 방지)."""
if topic is None or topic.user_id != user.id or topic.deleted_at is not None:
raise HTTPException(status_code=404, detail="학습 주제를 찾을 수 없습니다")
return topic
def _meta_from_topic(t: StudyTopic) -> StudyTopicMeta:
return StudyTopicMeta(
id=t.id,
name=t.name,
description=t.description,
color=t.color,
study_type=t.study_type,
sort_order=t.sort_order,
created_at=t.created_at,
updated_at=t.updated_at,
)
# ─── 엔드포인트 ───
@router.get("/", response_model=StudyTopicListResponse)
async def list_study_topics(
user: Annotated[User, Depends(get_current_user)],
session: Annotated[AsyncSession, Depends(get_session)],
limit: int = Query(100, ge=1, le=500),
offset: int = Query(0, ge=0),
):
"""사용자의 active 주제 목록. 세션 수·자료 수 집계 포함."""
# active 주제 + 세션 수 (LEFT JOIN study_sessions)
sess_count_sub = (
select(
StudySession.study_topic_id.label("topic_id"),
func.count().label("c"),
)
.where(StudySession.user_id == user.id)
.where(StudySession.study_topic_id.is_not(None))
.group_by(StudySession.study_topic_id)
.subquery()
)
doc_count_sub = (
select(
StudyTopicDocument.study_topic_id.label("topic_id"),
func.count().label("c"),
)
.where(StudyTopicDocument.user_id == user.id)
.group_by(StudyTopicDocument.study_topic_id)
.subquery()
)
# PR-2 — 활성 문제 카운트 (soft-deleted 제외)
from models.study_question import StudyQuestion as _SQ
q_count_sub = (
select(
_SQ.study_topic_id.label("topic_id"),
func.count().label("c"),
)
.where(_SQ.user_id == user.id, _SQ.deleted_at.is_(None))
.group_by(_SQ.study_topic_id)
.subquery()
)
base = (
select(
StudyTopic,
func.coalesce(sess_count_sub.c.c, 0).label("session_count"),
func.coalesce(doc_count_sub.c.c, 0).label("document_count"),
func.coalesce(q_count_sub.c.c, 0).label("question_count"),
)
.outerjoin(sess_count_sub, sess_count_sub.c.topic_id == StudyTopic.id)
.outerjoin(doc_count_sub, doc_count_sub.c.topic_id == StudyTopic.id)
.outerjoin(q_count_sub, q_count_sub.c.topic_id == StudyTopic.id)
.where(StudyTopic.user_id == user.id, StudyTopic.deleted_at.is_(None))
.order_by(StudyTopic.sort_order.asc(), StudyTopic.id.desc())
)
total_query = select(func.count()).select_from(
select(StudyTopic.id)
.where(StudyTopic.user_id == user.id, StudyTopic.deleted_at.is_(None))
.subquery()
)
total = (await session.execute(total_query)).scalar() or 0
rows = (await session.execute(base.offset(offset).limit(limit))).all()
items = [
StudyTopicResponse(
id=t.id,
name=t.name,
description=t.description,
color=t.color,
study_type=t.study_type,
sort_order=t.sort_order,
session_count=int(sc),
document_count=int(dc),
question_count=int(qc),
created_at=t.created_at,
updated_at=t.updated_at,
)
for t, sc, dc, qc in rows
]
return StudyTopicListResponse(items=items, total=total)
@router.get("/by-document/{document_id}", response_model=list[StudyTopicMeta])
async def list_topics_for_document(
document_id: int,
user: Annotated[User, Depends(get_current_user)],
session: Annotated[AsyncSession, Depends(get_session)],
):
"""이 자료가 매핑된 active 주제 목록.
/study/sources 카드의 "이 자료가 속한 주제" 배지·컨텍스트 메뉴용.
"""
rows = (
await session.execute(
select(StudyTopic)
.join(StudyTopicDocument, StudyTopicDocument.study_topic_id == StudyTopic.id)
.where(
StudyTopicDocument.document_id == document_id,
StudyTopicDocument.user_id == user.id,
StudyTopic.deleted_at.is_(None),
)
.order_by(StudyTopic.sort_order.asc(), StudyTopic.id.desc())
)
).scalars().all()
return [_meta_from_topic(t) for t in rows]
@router.post("/", response_model=StudyTopicResponse, status_code=201)
async def create_study_topic(
body: StudyTopicCreate,
user: Annotated[User, Depends(get_current_user)],
session: Annotated[AsyncSession, Depends(get_session)],
):
"""주제 생성. 같은 이름의 active 주제가 이미 있으면 409.
soft-deleted 동명 주제는 partial unique index 에서 빠지므로 신규 생성 가능.
"""
topic = StudyTopic(
user_id=user.id,
name=body.name.strip(),
description=body.description,
color=body.color,
study_type=body.study_type,
sort_order=body.sort_order,
)
session.add(topic)
try:
await session.flush()
await session.commit()
except IntegrityError:
await session.rollback()
raise HTTPException(status_code=409, detail="이미 같은 이름의 학습 주제가 있습니다")
return StudyTopicResponse(
id=topic.id,
name=topic.name,
description=topic.description,
color=topic.color,
study_type=topic.study_type,
sort_order=topic.sort_order,
session_count=0,
document_count=0,
created_at=topic.created_at,
updated_at=topic.updated_at,
)
@router.get("/{topic_id}", response_model=StudyTopicDetailResponse)
async def get_study_topic(
topic_id: int,
user: Annotated[User, Depends(get_current_user)],
session: Annotated[AsyncSession, Depends(get_session)],
):
"""통합 뷰: 주제 메타 + 세션 목록 + 자료 목록 + stats.
응답 형태는 후속 PR(오디오/단어장/문제세트 추가) 에서 sections / stats 키만 늘리면 되도록 dict 구조.
"""
topic = await session.get(StudyTopic, topic_id)
topic = _verify_topic_ownership(topic, user)
# 세션 목록 — 최근순
sess_rows = (
await session.execute(
select(StudySession)
.where(
StudySession.user_id == user.id,
StudySession.study_topic_id == topic_id,
)
.order_by(StudySession.created_at.desc(), StudySession.id.desc())
)
).scalars().all()
sessions_payload = [
StudyTopicSessionSummary(
id=s.id,
study_type=s.study_type,
certification=s.certification,
language_code=s.language_code,
learning_level=s.learning_level,
subject=s.subject,
topic=s.topic,
mode=s.mode,
repetition_count=s.repetition_count,
review_state=s.review_state,
created_at=s.created_at,
updated_at=s.updated_at,
)
for s in sess_rows
]
# 자료 목록 — 매핑 sort_order → created_at desc
doc_rows = (
await session.execute(
select(Document, StudyTopicDocument)
.join(
StudyTopicDocument,
and_(
StudyTopicDocument.document_id == Document.id,
StudyTopicDocument.study_topic_id == topic_id,
StudyTopicDocument.user_id == user.id,
),
)
.where(Document.deleted_at.is_(None))
.order_by(
StudyTopicDocument.sort_order.asc(),
StudyTopicDocument.created_at.desc(),
)
)
).all()
documents_payload = [
StudyTopicDocumentSummary(
id=d.id,
title=d.title,
file_format=d.file_format,
file_type=str(d.file_type) if d.file_type is not None else "immutable",
category=str(d.category) if d.category is not None else None,
ai_domain=d.ai_domain,
importance=d.importance,
sort_order=link.sort_order,
linked_at=link.created_at,
)
for d, link in doc_rows
]
# 문제 목록 (PR-2) — 본문 truncate, 정답·해설 비공개. attempt 통계 batch 로 끌어옴.
from models.study_question import StudyQuestion, StudyQuestionAttempt
q_rows = (
await session.execute(
select(StudyQuestion)
.where(
StudyQuestion.user_id == user.id,
StudyQuestion.study_topic_id == topic_id,
StudyQuestion.deleted_at.is_(None),
)
.order_by(StudyQuestion.created_at.desc(), StudyQuestion.id.desc())
)
).scalars().all()
qids = [q.id for q in q_rows]
q_attempt_count: dict[int, int] = {}
q_last_correct: dict[int, bool] = {}
if qids:
from sqlalchemy import case as _case
cnt_rows = (
await session.execute(
select(
StudyQuestionAttempt.study_question_id,
func.count().label("total"),
)
.where(
StudyQuestionAttempt.user_id == user.id,
StudyQuestionAttempt.study_question_id.in_(qids),
)
.group_by(StudyQuestionAttempt.study_question_id)
)
).all()
for r in cnt_rows:
q_attempt_count[r.study_question_id] = int(r.total)
latest_rows = (
await session.execute(
select(
StudyQuestionAttempt.study_question_id,
StudyQuestionAttempt.is_correct,
)
.where(
StudyQuestionAttempt.user_id == user.id,
StudyQuestionAttempt.study_question_id.in_(qids),
)
.order_by(
StudyQuestionAttempt.study_question_id,
StudyQuestionAttempt.answered_at.desc(),
)
.distinct(StudyQuestionAttempt.study_question_id)
)
).all()
for r in latest_rows:
q_last_correct[r.study_question_id] = bool(r.is_correct)
def _truncate_q(text: str, n: int = 80) -> str:
return text if len(text) <= n else text[:n].rstrip() + ""
questions_payload = [
StudyTopicQuestionSummary(
id=q.id,
question_text=_truncate_q(q.question_text, 80),
subject=q.subject,
scope=q.scope,
exam_name=q.exam_name,
exam_round=q.exam_round,
is_active=q.is_active,
attempt_count=q_attempt_count.get(q.id, 0),
last_correct=q_last_correct.get(q.id),
created_at=q.created_at,
)
for q in q_rows
]
return StudyTopicDetailResponse(
topic=_meta_from_topic(topic),
sections=StudyTopicSections(
sessions=sessions_payload,
documents=documents_payload,
questions=questions_payload,
),
stats=StudyTopicStats(
session_count=len(sessions_payload),
document_count=len(documents_payload),
question_count=len(questions_payload),
# 후속 PR 에서 채움
audio_count=0,
vocab_count=0,
question_set_count=0,
),
)
@router.patch("/{topic_id}", response_model=StudyTopicResponse)
async def update_study_topic(
topic_id: int,
body: StudyTopicUpdate,
user: Annotated[User, Depends(get_current_user)],
session: Annotated[AsyncSession, Depends(get_session)],
):
topic = await session.get(StudyTopic, topic_id)
topic = _verify_topic_ownership(topic, user)
fields_set = body.model_fields_set
if "name" in fields_set and body.name is not None:
topic.name = body.name.strip()
for fname in {"description", "color", "study_type", "sort_order"} & fields_set:
setattr(topic, fname, getattr(body, fname))
topic.updated_at = datetime.now(timezone.utc)
try:
await session.commit()
except IntegrityError:
await session.rollback()
raise HTTPException(status_code=409, detail="이미 같은 이름의 학습 주제가 있습니다")
# 응답용 카운트 별도 조회
sc = (await session.execute(
select(func.count())
.select_from(StudySession)
.where(StudySession.user_id == user.id, StudySession.study_topic_id == topic.id)
)).scalar() or 0
dc = (await session.execute(
select(func.count())
.select_from(StudyTopicDocument)
.where(StudyTopicDocument.study_topic_id == topic.id)
)).scalar() or 0
from models.study_question import StudyQuestion as _SQ2
qc = (await session.execute(
select(func.count())
.select_from(_SQ2)
.where(
_SQ2.user_id == user.id,
_SQ2.study_topic_id == topic.id,
_SQ2.deleted_at.is_(None),
)
)).scalar() or 0
return StudyTopicResponse(
id=topic.id,
name=topic.name,
description=topic.description,
color=topic.color,
study_type=topic.study_type,
sort_order=topic.sort_order,
session_count=int(sc),
document_count=int(dc),
question_count=int(qc),
created_at=topic.created_at,
updated_at=topic.updated_at,
)
@router.delete("/{topic_id}", status_code=204)
async def delete_study_topic(
topic_id: int,
user: Annotated[User, Depends(get_current_user)],
session: Annotated[AsyncSession, Depends(get_session)],
):
"""주제 soft delete. 세션의 study_topic_id 는 SET NULL, 문서 매핑은 cascade 제거.
같은 이름 재생성을 위해 partial unique index 가 deleted_at IS NULL 인 행만 본다.
"""
topic = await session.get(StudyTopic, topic_id)
topic = _verify_topic_ownership(topic, user)
# 세션 FK SET NULL — 명시적으로 (DB ON DELETE SET NULL 은 hard delete 시에만 동작)
await session.execute(
update(StudySession)
.where(
StudySession.user_id == user.id,
StudySession.study_topic_id == topic_id,
)
.values(study_topic_id=None)
)
# 문서 매핑 명시 제거 (soft delete 라 FK CASCADE 안 탐)
await session.execute(
delete(StudyTopicDocument).where(
StudyTopicDocument.study_topic_id == topic_id,
)
)
topic.deleted_at = datetime.now(timezone.utc)
await session.commit()
# ─── 자료(문서) 매핑 ───
@router.post(
"/{topic_id}/documents",
response_model=StudyTopicDocumentLinkResponse,
status_code=201,
)
async def link_documents_to_topic(
topic_id: int,
body: StudyTopicDocumentLinkRequest,
user: Annotated[User, Depends(get_current_user)],
session: Annotated[AsyncSession, Depends(get_session)],
):
"""자료 N개를 주제에 일괄 매핑. 이미 연결된 건 skipped_existing 으로 보고."""
topic = await session.get(StudyTopic, topic_id)
topic = _verify_topic_ownership(topic, user)
requested = list(dict.fromkeys(body.document_ids)) # 중복 제거 + 순서 보존
# 존재 + 미삭제 documents 만 통과 (single-user 시스템: documents.user_id 부재 가능)
valid_rows = (
await session.execute(
select(Document.id).where(
Document.id.in_(requested),
Document.deleted_at.is_(None),
)
)
).scalars().all()
valid_set = set(valid_rows)
not_found = [d for d in requested if d not in valid_set]
# 이미 매핑된 것
existing_rows = (
await session.execute(
select(StudyTopicDocument.document_id).where(
StudyTopicDocument.study_topic_id == topic_id,
StudyTopicDocument.document_id.in_(valid_set),
)
)
).scalars().all()
existing_set = set(existing_rows)
to_link = [d for d in requested if d in valid_set and d not in existing_set]
# 기존 max sort_order 다음부터
max_sort = (
await session.execute(
select(func.coalesce(func.max(StudyTopicDocument.sort_order), -1))
.where(StudyTopicDocument.study_topic_id == topic_id)
)
).scalar() or -1
for i, doc_id in enumerate(to_link, start=1):
session.add(StudyTopicDocument(
study_topic_id=topic_id,
document_id=doc_id,
user_id=user.id,
sort_order=int(max_sort) + i,
))
try:
await session.commit()
except IntegrityError:
await session.rollback()
raise HTTPException(status_code=409, detail="자료 매핑 중 충돌이 발생했습니다")
return StudyTopicDocumentLinkResponse(
linked=to_link,
skipped_existing=sorted(existing_set),
skipped_not_found=not_found,
)
@router.post(
"/{topic_id}/documents/by-path",
response_model=StudyTopicDocumentByPathResponse,
status_code=201,
)
async def link_documents_by_library_path(
topic_id: int,
body: StudyTopicDocumentByPathRequest,
user: Annotated[User, Depends(get_current_user)],
session: Annotated[AsyncSession, Depends(get_session)],
):
"""자료실 카테고리 path 기준으로 하위 자료를 일괄 매핑.
/api/documents/library?path=... 와 동일한 user_tags(@library/...) prefix 매칭 사용.
100건 limit 우회 — 한 카테고리에 자료가 많아도 한 번에 처리.
"""
topic = await session.get(StudyTopic, topic_id)
topic = _verify_topic_ownership(topic, user)
try:
normalized = normalize_library_path(body.path)
except ValueError as e:
raise HTTPException(status_code=400, detail=str(e))
exact_tag = f"{LIBRARY_PREFIX}{normalized}"
prefix_tag = f"{LIBRARY_PREFIX}{normalized}/%"
# @library/<path> 정확 일치 또는 (subtree 옵션 시) 그 하위까지 prefix 매칭
if body.include_subtree:
tag_filter = sql_text("""
EXISTS (
SELECT 1 FROM jsonb_array_elements_text(documents.user_tags) AS t
WHERE t = :exact OR t LIKE :prefix
)
""").bindparams(exact=exact_tag, prefix=prefix_tag)
else:
tag_filter = sql_text("""
EXISTS (
SELECT 1 FROM jsonb_array_elements_text(documents.user_tags) AS t
WHERE t = :exact
)
""").bindparams(exact=exact_tag)
candidate_rows = (
await session.execute(
select(Document.id).where(
Document.deleted_at.is_(None),
Document.category == "library",
tag_filter,
)
)
).scalars().all()
candidate_set = set(candidate_rows)
total_in_path = len(candidate_set)
if total_in_path == 0:
return StudyTopicDocumentByPathResponse(
linked_count=0,
skipped_existing_count=0,
total_in_path=0,
path=normalized,
)
existing_rows = (
await session.execute(
select(StudyTopicDocument.document_id).where(
StudyTopicDocument.study_topic_id == topic_id,
StudyTopicDocument.document_id.in_(candidate_set),
)
)
).scalars().all()
existing_set = set(existing_rows)
to_link = [d for d in candidate_rows if d not in existing_set]
max_sort = (
await session.execute(
select(func.coalesce(func.max(StudyTopicDocument.sort_order), -1))
.where(StudyTopicDocument.study_topic_id == topic_id)
)
).scalar() or -1
for i, doc_id in enumerate(to_link, start=1):
session.add(StudyTopicDocument(
study_topic_id=topic_id,
document_id=doc_id,
user_id=user.id,
sort_order=int(max_sort) + i,
))
try:
await session.commit()
except IntegrityError:
await session.rollback()
raise HTTPException(status_code=409, detail="자료 매핑 중 충돌이 발생했습니다")
return StudyTopicDocumentByPathResponse(
linked_count=len(to_link),
skipped_existing_count=len(existing_set),
total_in_path=total_in_path,
path=normalized,
)
@router.delete("/{topic_id}/documents/{document_id}", status_code=204)
async def unlink_document_from_topic(
topic_id: int,
document_id: int,
user: Annotated[User, Depends(get_current_user)],
session: Annotated[AsyncSession, Depends(get_session)],
):
topic = await session.get(StudyTopic, topic_id)
_verify_topic_ownership(topic, user)
result = await session.execute(
delete(StudyTopicDocument).where(
StudyTopicDocument.study_topic_id == topic_id,
StudyTopicDocument.document_id == document_id,
StudyTopicDocument.user_id == user.id,
)
)
await session.commit()
if result.rowcount == 0:
raise HTTPException(status_code=404, detail="매핑을 찾을 수 없습니다")
# ─── 세션 매핑 ───
@router.post("/{topic_id}/sessions/{session_id}", status_code=204)
async def attach_session_to_topic(
topic_id: int,
session_id: int,
user: Annotated[User, Depends(get_current_user)],
session: Annotated[AsyncSession, Depends(get_session)],
):
"""기존 세션을 주제에 연결. 다른 주제에 이미 연결돼 있으면 새 주제로 갱신 (1:N)."""
topic = await session.get(StudyTopic, topic_id)
_verify_topic_ownership(topic, user)
sess = await session.get(StudySession, session_id)
if sess is None or sess.user_id != user.id:
raise HTTPException(status_code=404, detail="학습 세션을 찾을 수 없습니다")
sess.study_topic_id = topic_id
sess.updated_at = datetime.now(timezone.utc)
await session.commit()
@router.delete("/{topic_id}/sessions/{session_id}", status_code=204)
async def detach_session_from_topic(
topic_id: int,
session_id: int,
user: Annotated[User, Depends(get_current_user)],
session: Annotated[AsyncSession, Depends(get_session)],
):
"""세션 분리. 현재 study_topic_id 가 topic_id 가 아니면 404."""
topic = await session.get(StudyTopic, topic_id)
_verify_topic_ownership(topic, user)
sess = await session.get(StudySession, session_id)
if sess is None or sess.user_id != user.id:
raise HTTPException(status_code=404, detail="학습 세션을 찾을 수 없습니다")
if sess.study_topic_id != topic_id:
raise HTTPException(status_code=404, detail="해당 주제에 연결된 세션이 아닙니다")
sess.study_topic_id = None
sess.updated_at = datetime.now(timezone.utc)
await session.commit()