diff --git a/CLAUDE.md b/CLAUDE.md new file mode 100644 index 0000000..7524fb5 --- /dev/null +++ b/CLAUDE.md @@ -0,0 +1,349 @@ +# TestMagick — LLM 작업 가이드 + +## 프로젝트 개요 + +TestMagick은 **YAML/JSON 파일**을 입력받아 **문제지(exam.pdf)** 와 **정답지(answer.pdf)** 를 생성하는 CLI 도구입니다. 렌더링 엔진으로 Typst를 사용합니다. + +--- + +## 빌드 명령 + +```bash +# 빌드 (PDF 생성) +./run build --input data/my_exam.yaml --out out/ + +# 검증만 (PDF 생성 없이 스키마 확인) +./run validate --input data/my_exam.yaml + +# PDF 전처리 (LLM 파이프라인용) +./run preprocess --input data/textbook.pdf --out out/prep/ +./run preprocess --input data/textbook.pdf --method mixed # 페이지별 수식 감지 +./run preprocess --input data/textbook.pdf --method markdown # marker-pdf 변환 (별도 설치 필요) +``` + +> `preprocess` 의존성: `pip install testmagick[preprocess]` (pymupdf) 또는 `testmagick[markdown]` (pymupdf + marker-pdf) + +--- + +## YAML 최상위 구조 + +```yaml +title: "시험지 제목" # 선택 (기본: "제목 없는 시험지") +course: "과목명" # 선택 +date: "2026-03-16" # 선택 +problems: + - ... # 문제 목록 (1개 이상 필수) +``` + +--- + +## 문제(Problem) 기본 구조 + +```yaml +- id: "Q1" # 필수, 고유한 문자열 + type: "mcq" # 필수: "mcq"(객관식) 또는 "short"(주관식) + question: "문제 텍스트" # question 또는 question_typst 또는 question_blocks 중 하나 필수 + answer: 2 # mcq: 1-based 번호 또는 선택지 텍스트 / short: 정답 텍스트 + points: 2.0 # 선택 (기본: 1.0) + source: "출처" # 선택 +``` + +--- + +## 문제 텍스트 3가지 방식 + +### 1. 일반 텍스트 (`question`) + +```yaml +question: "다음 중 올바른 것을 고르시오." +``` + +### 2. Typst 코드 (`question_typst`) + +수식이나 코드블록이 포함된 경우 사용합니다. + +```yaml +question_typst: | + 방정식 $x^2 - 5x + 6 = 0$의 해를 모두 구하시오. +``` + +```yaml +question_typst: | + 아래 코드의 출력을 쓰시오. + #raw(block: true, lang: "python", "for i in range(3):\n print(i)") +``` + +### 3. 구조화 블록 (`question_blocks`) + +표, 수식, 요구사항 등을 구조적으로 삽입합니다. `question`/`question_typst`와 **함께 쓸 수 있습니다** (question이 먼저 출력됨). + +--- + +## 콘텐츠 블록 (`question_blocks`) 종류 + +### `text` — 일반 텍스트 + +```yaml +question_blocks: + - type: text + content: "본문 텍스트입니다." +``` + +### `typst` — 원시 Typst 코드 + +```yaml +question_blocks: + - type: typst + content: | + #raw(block: true, lang: "python", "print('hello')") +``` + +### `formula` — 가운데 정렬 수식 + +`content`에 `$` 없이 Typst 수학 표현식을 씁니다. + +```yaml +question_blocks: + - type: formula + content: "S_n = n/2 (2a + (n-1)d)" +``` + +렌더 결과: 수식이 가운데 정렬되어 표시됩니다. + +### `requirements` — 요구사항/조건 텍스트 + +회색 왼쪽 테두리가 있는 이탤릭 블록으로 표시됩니다. + +```yaml +question_blocks: + - type: requirements + content: "단, 소수점 첫째 자리에서 반올림하시오." +``` + +### `graph` — 방향 그래프 + +노드(원)와 엣지(화살표)로 이루어진 방향 그래프를 그립니다. `label`이 있으면 간선 중점에 표시됩니다. + +```yaml +question_blocks: + - type: graph + nodes: + - id: "A" + label: "$A$" # Typst 콘텐츠; 생략하면 id가 표시됨 + pos: [0, 0] # [x, y] 좌표 (y축 위가 양수, 수학 좌표계) + - id: "B" + label: "$B$" + pos: [3, 0] + - id: "C" + label: "$C$" + pos: [0, -3] + - id: "D" + label: "$D$" + pos: [3, -3] + edges: + - from: "A" + to: "B" # 단방향 화살표 A → B + - from: "B" + to: "C" + bend: 40 # 곡선: 양수=진행방향 왼쪽, 음수=오른쪽 + - from: "C" + to: "D" + directed: false # 방향 없는 선 (기본: true) + - from: "D" + to: "A" + bidirectional: true # 양방향 화살표 ↔ + label: "5" # 간선 레이블 (선택) +``` + +- **노드 id**: 빈 문자열 불가, 공백 자동 제거. +- **좌표계**: `x`는 오른쪽, `y`는 **위**가 양수 (수학 좌표계). 노드 간격은 `3`~`4` 권장. +- **이탤릭 라벨** (수학 기호 느낌): `label: "$A$"`. 일반 텍스트: `label: "A"`. +- **bend 방향**: 화살표의 진행 방향 기준. + - `bend: 50` → 진행 방향 **왼쪽**으로 호 (예: 위로 가는 엣지 → 왼쪽 바깥) + - `bend: -50` → 진행 방향 **오른쪽**으로 호 (예: 위로 가는 엣지 → 오른쪽 바깥) + - 바깥쪽 큰 호는 절댓값 `50`~`70` 권장. 값이 클수록 더 크게 굽음. + - 팁: 그래프 오른쪽 세로 엣지(아래→위)에서 오른쪽 바깥으로 보내려면 `bend: -40`. + +### `table` — 표 + +```yaml +question_blocks: + - type: table + headers: ["구분", "2022년", "2023년"] # 선택 (없으면 첫 번째 행이 기준 열 수) + rows: + - ["매출(억원)", "1,200", "1,500"] + - ["영업이익(억원)", "150", "200"] +``` + +- `headers` 또는 `rows` 중 최소 하나는 있어야 합니다. +- 모든 행의 열 수는 `headers`(또는 첫 번째 행)와 일치해야 합니다. +- 첫 번째 행은 자동으로 회색 배경 + 볼드 처리됩니다. + +--- + +## 객관식 문제 (`type: "mcq"`) + +```yaml +- id: "Q1" + type: "mcq" + question: "다음 중 OOP의 4대 원칙이 아닌 것은?" + choices: + - "캡슐화" + - "상속" + - "컴파일" + - "다형성" + answer: 3 # 1-based 번호. "컴파일"이 정답 + points: 2 +``` + +**Typst 선택지** (수식 포함 시): + +```yaml +choices_typst: + - "$x = 1, 2$" + - "$x = 2, 3$" + - "$x = -2, -3$" + - "$x = 3, 6$" +answer: 2 +``` + +- `choices`와 `choices_typst` 둘 다 쓸 경우 길이가 같아야 합니다. +- 선택지 레이블은 ①②③… 원 안의 숫자로 자동 표시됩니다. +- 객관식에도 `answer_typst` 사용 가능 — 선택지 번호(①)는 유지되고 해설을 Typst로 작성할 수 있습니다. + +```yaml +# 객관식 + 해설 예시 +- id: "Q1" + type: "mcq" + question: "다음 중 참인 것은?" + choices: ["참", "거짓"] + answer: 2 + answer_typst: | + 거짓이다. 반례: $x = 0$일 때 성립하지 않는다. +``` + +--- + +## 주관식 문제 (`type: "short"`) + +```yaml +- id: "Q2" + type: "short" + question: "뉴턴의 제2법칙을 서술하시오." + answer: "F = ma (힘 = 질량 × 가속도)" + points: 3 +``` + +**Typst 정답** (수식/코드 포함 시): + +```yaml +answer_typst: | + $F = m a$ + (힘은 질량과 가속도의 곱이다) +``` + +--- + +## 소문제 (`subproblems`) + +주관식 문제(`type: "short"`)에만 사용 가능합니다. `subproblems`가 있으면 부모 문제에 `answer`/`answer_typst`를 쓰지 않습니다. 소문제는 객관식/주관식 모두 가능하며, 객관식 소문제에도 `answer_typst`로 해설을 작성할 수 있습니다. + +```yaml +- id: "S1" + type: "short" + question: "다음 자료를 보고 물음에 답하시오." + question_blocks: + - type: table + headers: ["이름", "국어", "수학"] + rows: + - ["김철수", "85", "92"] + - ["이영희", "90", "75"] + subproblems: + - id: "(1)" + type: "short" + question: "수학 점수가 더 높은 학생을 쓰시오." + answer: "김철수" + points: 1 + - id: "(2)" + type: "mcq" + question: "두 학생의 국어 점수 합은?" + choices: ["170", "175", "180", "185"] + answer: 2 + points: 1 + points: 2 +``` + +소문제의 `id`는 `(1)`, `(가)`, `a.` 등 자유롭게 사용 가능합니다. + +--- + +## 블록 혼합 사용 예시 + +```yaml +- id: "COMB" + type: "short" + question: "다음을 보고 물음에 답하시오." + question_blocks: + - type: table + headers: ["연도", "매출", "이익"] + rows: + - ["2021", "100", "10"] + - ["2022", "120", "15"] + - type: requirements + content: "단, 단위는 억원이며 소수점 이하는 버린다." + - type: formula + content: "이익률 = 이익 / 매출 times 100%" + subproblems: + - id: "(1)" + type: "short" + question: "2022년의 이익률을 구하시오." + answer: "12.5%" + points: 2 + - id: "(2)" + type: "short" + question: "전년 대비 매출 증가율을 구하시오." + answer: "20%" + points: 2 + points: 4 +``` + +--- + +## Typst 수학 문법 요약 + +| 표현 | Typst 문법 | +|------|-----------| +| 인라인 수식 | `$x^2 + 1$` | +| 분수 | `$a/b$` 또는 `$frac(a, b)$` | +| 제곱근 | `$sqrt(x)$` | +| 시그마 | `$sum_(i=1)^n x_i$` | +| 적분 | `$integral_0^1 f(x) dif x$` | +| 행렬 | `$mat(a, b; c, d)$` | +| 절댓값 | `$|x|$` | +| 화살표 | `$A -> B$` | +| 이상/이하 | `$x >= 0$`, `$x <= 1$` | +| 그리스 문자 | `$alpha$`, `$beta$`, `$pi$`, `$mu$` | +| 벡터 | `$arrow(v)$` | + +--- + +## 문제지 사진 → YAML 변환 시 지침 + +문제지 이미지를 보고 YAML을 생성할 때: + +1. **문제 번호**를 `id`로 사용 (`"1"`, `"Q1"`, `"문1"` 등). +2. **수식**이 있으면 `question_typst` 또는 `formula` 블록 사용. +3. **표**가 있으면 `table` 블록으로 구조화. +4. **"단, ..."으로 시작하는 조건문**은 `requirements` 블록. +5. **소문제((1)(2)(3) 또는 (가)(나)(다))**는 `subproblems` 사용. +6. **정답**은 객관식은 번호(1-based int), 주관식은 문자열. +7. 수식이 있는 정답은 `answer_typst` 사용. +8. `points`가 명시되어 있으면 그 값을 사용. + +### 검증 + +YAML 작성 후 반드시 스키마 검증을 실행하세요: + +```bash +./run validate --input data/my_exam.yaml +``` diff --git a/data/sample_advanced.yaml b/data/sample_advanced.yaml new file mode 100644 index 0000000..d593df5 --- /dev/null +++ b/data/sample_advanced.yaml @@ -0,0 +1,137 @@ +title: "심화 기능 샘플" +course: "수학 / 프로그래밍" +date: "2026-03-16" +problems: + # ── 표(table) 기능 예시 ────────────────────────────────────────────────────── + - id: "T1" + type: "short" + question: "다음 표를 보고 2021년부터 2023년까지의 평균 매출(억원)을 구하시오." + question_blocks: + - type: table + headers: ["연도", "매출(억원)", "영업이익(억원)"] + rows: + - ["2021", "1,200", "150"] + - ["2022", "1,500", "200"] + - ["2023", "1,800", "180"] + - type: requirements + content: "단, 소수점 첫째 자리에서 반올림하시오." + answer: "1,500" + points: 3 + + # ── 가운데 정렬 수식(formula) + 요구사항(requirements) 예시 ────────────────── + - id: "F1" + type: "mcq" + question: "다음 등차수열의 합 공식을 이용하여 첫째 항이 2, 공차가 3인 등차수열의 첫 10개 항의 합을 구하시오." + question_blocks: + - type: formula + content: "S_n = n/2 (2a + (n-1)d)" + - type: requirements + content: "단, a는 첫째 항, d는 공차, n은 항의 수이다." + choices: + - "155" + - "160" + - "165" + - "170" + answer: 3 + points: 2 + + # ── sub-문제(subproblems) 예시 ─────────────────────────────────────────────── + - id: "S1" + type: "short" + question: "다음 Python 코드를 읽고 물음에 답하시오." + question_blocks: + - type: typst + content: | + #raw(block: true, lang: "python", "def factorial(n): + if n <= 1: + return 1 + return n * factorial(n - 1) + + print(factorial(5)) + print(factorial(0))") + subproblems: + - id: "(1)" + type: "short" + question: "위 코드의 출력 결과를 순서대로 쓰시오." + answer: "120\n1" + points: 2 + - id: "(2)" + type: "short" + question: "위 함수에서 사용된 프로그래밍 기법의 이름을 쓰시오." + answer: "재귀(Recursion)" + points: 1 + - id: "(3)" + type: "mcq" + question: "factorial(0)의 반환값은 무엇인가?" + choices: + - "0" + - "1" + - "None" + - "오류 발생" + answer: 2 + points: 1 + points: 4 + + # ── 방향 그래프(graph) 예시 ───────────────────────────────────────────────── + # cetz 좌표계: x는 오른쪽, y는 위 방향이 양수 + # A=왼쪽위, B=오른쪽위, C=왼쪽아래, D=오른쪽아래 + - id: "G1" + type: "short" + question: "다음 방향 그래프에서 노드 A에서 D로 가는 모든 경로를 구하시오." + question_blocks: + - type: graph + nodes: + - id: "A" + label: "$A$" + pos: [0, 3] + - id: "B" + label: "$B$" + pos: [3, 3] + - id: "C" + label: "$C$" + pos: [0, 0] + - id: "D" + label: "$D$" + pos: [3, 0] + edges: + - from: "A" + to: "B" + - from: "C" + to: "A" + - from: "A" + to: "D" + - from: "B" + to: "C" + - from: "B" + to: "D" + - from: "D" + to: "C" + - from: "D" + to: "B" + bend: -40 # 오른쪽 바깥쪽으로 굽힘 (D→B는 위 방향, -=오른쪽) + answer: "A→D, A→B→D" + points: 3 + + # ── 표 + sub-문제 결합 예시 ────────────────────────────────────────────────── + - id: "C1" + type: "short" + question: "다음 학생 성적표를 보고 물음에 답하시오." + question_blocks: + - type: table + headers: ["이름", "국어", "수학", "영어"] + rows: + - ["김철수", "85", "92", "78"] + - ["이영희", "90", "75", "88"] + - ["박민준", "78", "88", "95"] + subproblems: + - id: "(1)" + type: "short" + question: "수학 점수가 가장 높은 학생의 이름을 쓰시오." + answer: "김철수" + points: 1 + - id: "(2)" + type: "short" + question: "세 과목 합산 점수가 가장 높은 학생의 이름을 쓰시오." + answer: "박민준 (합계 261점)" + points: 2 + points: 3 diff --git a/pyproject.toml b/pyproject.toml index 8ed6c15..d46b166 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -19,6 +19,13 @@ dev = [ "pytest>=8.0.0,<9", "ruff>=0.6.0,<1", ] +preprocess = [ + "pymupdf>=1.24,<2", +] +markdown = [ + "pymupdf>=1.24,<2", + "marker-pdf>=1.0", +] [project.scripts] testmagick = "testmagick.cli:main" diff --git a/src/testmagick/cli.py b/src/testmagick/cli.py index ca42cac..c69e26c 100644 --- a/src/testmagick/cli.py +++ b/src/testmagick/cli.py @@ -23,6 +23,16 @@ def _build_parser() -> argparse.ArgumentParser: type=Path, help="YAML/JSON 입력 파일 경로", ) + validate_parser.add_argument( + "--expect", + type=str, + default=None, + metavar="SPEC", + help=( + "소문제 기대치 지정. 형식: '문제ID:개수,...' " + "(예: '1:5,7:8,8:3'). 실제와 다르면 LLM 교정 프롬프트를 출력." + ), + ) build_parser = subparsers.add_parser( "build", @@ -51,6 +61,46 @@ def _build_parser() -> argparse.ArgumentParser: action="store_true", help="package.zip 생성을 비활성화합니다.", ) + + preprocess_parser = subparsers.add_parser( + "preprocess", + help="PDF를 LLM 전달용으로 전처리합니다 (텍스트 추출 또는 이미지 압축).", + ) + preprocess_parser.add_argument( + "--input", + required=True, + type=Path, + help="입력 PDF 파일 경로", + ) + preprocess_parser.add_argument( + "--out", + type=Path, + default=Path("out/prep"), + help="출력 디렉터리 (기본: out/prep)", + ) + preprocess_parser.add_argument( + "--method", + choices=["auto", "mixed", "text", "images", "markdown"], + default="auto", + help=( + "처리 방식: auto=자동감지(기본), mixed=페이지별 수식 감지," + " text=텍스트 강제, images=이미지 강제," + " markdown=AI 수식 인식 후 LaTeX Markdown 출력 (marker-pdf 필요)" + ), + ) + preprocess_parser.add_argument( + "--dpi", + type=int, + default=150, + help="이미지 모드 해상도 (기본: 150)", + ) + preprocess_parser.add_argument( + "--quality", + type=int, + default=72, + help="JPEG 압축 품질 0-100 (기본: 72)", + ) + return parser @@ -93,15 +143,123 @@ def _path_label(text: str) -> str: return _color(text, "36") -def _run_validate(input_path: Path) -> int: +def _parse_expect(spec: str) -> dict[str, int]: + """'1:5,7:8,8:3' 형식을 {problem_id: expected_count} 딕셔너리로 파싱.""" + result: dict[str, int] = {} + for part in spec.split(","): + part = part.strip() + if not part: + continue + if ":" not in part: + raise ValueError(f"--expect 형식 오류: '{part}' (올바른 형식: '문제ID:개수')") + pid, count_str = part.rsplit(":", 1) + result[pid.strip()] = int(count_str.strip()) + return result + + +def _make_feedback_prompt(input_path: Path, issues: list[tuple[str, int, int]]) -> str: + yaml_text = input_path.read_text(encoding="utf-8") + missing_lines = "\n".join( + f"- 문제 \"{pid}\": 소문제 {exp}개 필요, 현재 {act}개 ({exp - act}개 누락)" + for pid, exp, act in issues + ) + return ( + "다음 YAML 파일에서 소문제가 누락되어 있습니다.\n\n" + f"[누락 항목]\n{missing_lines}\n\n" + "[현재 YAML]\n" + "```yaml\n" + f"{yaml_text.rstrip()}\n" + "```\n\n" + "[요청]\n" + "누락된 소문제를 모두 채워서 완성된 YAML을 출력해주세요.\n" + "기존 문제는 그대로 유지하고, 누락된 소문제만 추가하세요.\n" + "절대 생략하거나 '...' 처리하지 마세요." + ) + + +def _run_validate(input_path: Path, expect: str | None = None) -> int: try: exam_set = load_exam(input_path) except InputLoadError as exc: print(f"{_err_tag()} {exc}") return 1 - print(f"{_ok_tag()} {input_path}에서 문제 {len(exam_set.problems)}개를 검증했습니다.") - return 0 + problems = exam_set.problems + total_sub = sum(len(p.subproblems) for p in problems if p.subproblems) + total_pts = sum( + sum(s.points for s in p.subproblems) if p.subproblems else p.points + for p in problems + ) + + print(f"{_ok_tag()} 검증 완료: {_color(str(input_path), '36')}") + print() + + col_n = max(len(str(len(problems))), 1) + col_id = max((len(p.id) for p in problems), default=2) + col_pts = 6 + + header = ( + f" {'#':>{col_n}} " + f"{'ID':<{col_id}} " + f"{'배점':>{col_pts}} " + f"소문제" + ) + print(_color(header, "2")) + print(_color(" " + "─" * (len(header) - 2), "2")) + + for i, p in enumerate(problems, 1): + if p.subproblems: + pts = sum(s.points for s in p.subproblems) + sub_ids = " ".join(s.id for s in p.subproblems) + sub_summary = f"{len(p.subproblems)}개 {_color(sub_ids, '2')}" + else: + pts = p.points + sub_summary = _color("─", "2") + + pts_str = f"{pts:.1f}pt" + print(f" {i:>{col_n}} {p.id:<{col_id}} {pts_str:>{col_pts}} {sub_summary}") + + print() + parts = [ + f"문제 {len(problems)}개", + f"소문제 {total_sub}개" if total_sub else None, + f"총 {total_pts:.1f}pt", + ] + print(" " + " | ".join(p for p in parts if p)) + print() + + if not expect: + return 0 + + try: + expected_map = _parse_expect(expect) + except ValueError as exc: + print(f"{_err_tag()} {exc}") + return 1 + + actual_map = {p.id: len(p.subproblems or []) for p in problems} + issues: list[tuple[str, int, int]] = [] + for pid, exp_count in expected_map.items(): + act_count = actual_map.get(pid, 0) + if act_count < exp_count: + issues.append((pid, exp_count, act_count)) + + if not issues: + print(f"{_ok_tag()} 소문제 수가 기대치와 일치합니다.") + print() + return 0 + + warn_tag = _badge("WARN", "30;48;2;255;190;0;1") + print(f"{warn_tag} 소문제 부족 — {len(issues)}개 문제에서 누락 발견\n") + for pid, exp, act in issues: + print(f" 문제 {_color(pid, '1')}: 예상 {exp}개, 실제 {act}개 " + f"({_color(str(exp - act) + '개 누락', '33')})") + print() + print(_color("── LLM 교정 프롬프트 (복사해서 LLM에 붙여넣기) ──", "2")) + print() + print(_make_feedback_prompt(input_path, issues)) + print() + return 1 def _run_build(input_path: Path, out_dir: Path, title: str | None, no_zip: bool) -> int: @@ -126,12 +284,102 @@ def _run_build(input_path: Path, out_dir: Path, title: str | None, no_zip: bool) return 0 +_REASON_LABEL: dict[str, str] = { + "math_font": "수식 폰트", + "low_quality": "텍스트 품질 낮음", + "no_text": "텍스트 없음", + "text_ok": "텍스트", + "forced_text": "텍스트(강제)", + "forced_images": "이미지(강제)", +} + + +def _run_preprocess( + pdf_path: Path, + out_dir: Path, + method: str, + dpi: int, + quality: int, +) -> int: + from testmagick.preprocess import preprocess_pdf + + try: + result = preprocess_pdf( + pdf_path, + out_dir, + method=method, # type: ignore[arg-type] + dpi=dpi, + quality=quality, + ) + except ImportError as exc: + print(f"{_err_tag()} {exc}") + return 1 + except Exception as exc: + print(f"{_err_tag()} PDF 전처리 실패: {exc}") + return 1 + + method_labels = { + "text": "텍스트 추출", + "images": f"이미지 압축 ({dpi} dpi · JPEG {quality}%)", + "mixed": f"mixed (페이지별 수식 감지 · 이미지 {dpi} dpi)", + "markdown": "AI 수식 인식 → LaTeX Markdown (marker-pdf)", + } + method_label = method_labels.get(result.method, result.method) + + img_pages = sum(1 for d in result.page_decisions if d.use_image) + txt_pages = result.page_count - img_pages + + print(f"{_ok_tag()} 전처리 완료 [{method_label}] — {result.page_count}페이지") + print() + + # 페이지별 결정 표 (mixed 모드일 때만) + if result.method == "mixed": + for d in result.page_decisions: + bar = "▓" if not d.use_image else "░" + kind = _REASON_LABEL.get(d.reason, d.reason) + score_str = f" score={d.quality_score:.2f}" if d.reason != "no_text" else "" + print(f" p{d.page_num:>2} {bar} {kind}{score_str}") + print() + print(f" 텍스트 페이지: {txt_pages} / 이미지 페이지: {img_pages}") + print() + + # 출력 파일 목록 + for f in result.all_files: + size_kb = f.stat().st_size / 1024 + print(f" {_path_label(f.name):<26} {size_kb:>7.1f} KB") + schema_kb = result.schema_ref.stat().st_size / 1024 + print(f" {_path_label('schema_ref.md'):<26} {schema_kb:>7.1f} KB") + print(f" {_path_label('prompt.md')}") + print() + + # 토큰 추정 + schema_tokens = int(schema_kb * 1024 / 3.5) + total_tokens = result.est_tokens + schema_tokens + print(f" {'추정 토큰 (본문)':<20} ~{result.est_tokens:>6,}") + print(f" {'스키마 참조':<20} ~{schema_tokens:>6,}") + print(f" {'합계':<20} ~{total_tokens:>6,}") + + if result.method in ("images", "mixed") and img_pages > 0: + import math + orig_w = int((1240 / 150) * 300) + orig_h = int((1754 / 150) * 300) + orig_tiles = math.ceil(orig_w / 512) * math.ceil(orig_h / 512) + orig_img_tokens = orig_tiles * 170 * img_pages + cur_img_tokens = result.est_tokens # 근사 + if orig_img_tokens > 0: + saved_pct = max(0.0, (1 - cur_img_tokens / orig_img_tokens) * 100) + print(f"\n 이미지 {img_pages}페이지 기준, 300dpi 대비 ~{saved_pct:.0f}% 토큰 절감") + + print(f"\n출력 경로: {_path_label(str(out_dir.resolve()))}") + return 0 + + def main(argv: list[str] | None = None) -> int: parser = _build_parser() args = parser.parse_args(argv) if args.command == "validate": - return _run_validate(input_path=args.input) + return _run_validate(input_path=args.input, expect=args.expect) if args.command == "build": return _run_build( input_path=args.input, @@ -139,6 +387,14 @@ def main(argv: list[str] | None = None) -> int: title=args.title, no_zip=args.no_zip, ) + if args.command == "preprocess": + return _run_preprocess( + pdf_path=args.input, + out_dir=args.out, + method=args.method, + dpi=args.dpi, + quality=args.quality, + ) parser.print_help() return 1 diff --git a/src/testmagick/preprocess.py b/src/testmagick/preprocess.py new file mode 100644 index 0000000..80d1ea0 --- /dev/null +++ b/src/testmagick/preprocess.py @@ -0,0 +1,502 @@ +from __future__ import annotations + +import math +import re +from dataclasses import dataclass, field +from pathlib import Path +from typing import Literal + +# ─── 수식 폰트 감지용 힌트 ──────────────────────────────────────────────────── +# PDF에 삽입된 TeX/수학 전용 폰트 이름 패턴 (대소문자 무관) +_MATH_FONT_HINTS = { + "CMMI", # Computer Modern Math Italic + "CMSY", # Computer Modern Symbols + "CMEX", # Computer Modern Extensions + "MSAM", # AMS Symbols A + "MSBM", # AMS Symbols B + "EUEX", # Euler Extended + "MTSYN", # MathTime Symbols + "MTSY", + "STMARY", # St Mary Road (math) + "MATHPI", +} + + +# ─── 결과 타입 ──────────────────────────────────────────────────────────────── + +@dataclass +class PageDecision: + page_num: int # 1-based + use_image: bool + reason: str # "math_font" | "low_quality" | "no_text" | "text_ok" + quality_score: float # 0.0 ~ 1.0 (텍스트 품질) + output_file: Path | None = None + + +@dataclass +class PreprocessResult: + method: Literal["text", "images", "mixed", "markdown"] + text_file: Path | None = None # text.txt (text/mixed 모드) + image_files: list[Path] = field(default_factory=list) # page_*.jpg + schema_ref: Path = field(default=Path()) + page_decisions: list[PageDecision] = field(default_factory=list) + page_count: int = 0 + est_tokens: int = 0 + + @property + def all_files(self) -> list[Path]: + result: list[Path] = [] + if self.text_file: + result.append(self.text_file) + result.extend(self.image_files) + return result + + +# ─── 의존성 체크 ────────────────────────────────────────────────────────────── + +def _require_pymupdf() -> None: + try: + import fitz # noqa: F401 + except ImportError: + raise ImportError( + "pymupdf가 설치되어 있지 않습니다.\n" + "설치 명령: uv pip install 'testmagick[preprocess]'" + ) + + +# ─── 페이지별 수식 감지 ─────────────────────────────────────────────────────── + +def _has_math_fonts(page: object) -> bool: + """페이지에 TeX 수식 전용 폰트가 포함되어 있으면 True.""" + for font in page.get_fonts(full=True): # type: ignore[attr-defined] + basename = font[3].upper() # index 3 = basefont name + if any(hint in basename for hint in _MATH_FONT_HINTS): + return True + return False + + +def _text_quality_score(text: str) -> float: + """추출된 텍스트의 가독성 점수를 반환한다 (0.0=수식 파편, 1.0=깨끗한 텍스트). + + 수식이 많은 페이지는 x, 1, +, =, (, ) 같은 1~2자 토큰이 많아서 점수가 낮아진다. + 한국어/영어 일반 텍스트는 평균 토큰 길이가 길어서 점수가 높다. + """ + tokens = text.split() + if not tokens: + return 0.0 + + avg_len = sum(len(t) for t in tokens) / len(tokens) + short_frac = sum(1 for t in tokens if len(t) <= 2) / len(tokens) + + # avg_len 5 이상 → 1.0, 짧을수록 감소 + len_score = min(avg_len / 5.0, 1.0) + # short_frac 0 → 1.0, 0.67 이상 → 0.0 + short_score = max(1.0 - short_frac * 1.5, 0.0) + + return len_score * short_score + + +def _decide_page( + page: object, math_font_threshold: bool = True, quality_threshold: float = 0.40 +) -> tuple[bool, str, float]: + """페이지를 이미지로 처리할지 텍스트로 처리할지 결정한다. + + Returns: + (use_image, reason, quality_score) + """ + text = _extract_page_text(page).strip() + + if not text: + return True, "no_text", 0.0 + + if math_font_threshold and _has_math_fonts(page): + score = _text_quality_score(text) + return True, "math_font", score + + score = _text_quality_score(text) + if score < quality_threshold: + return True, "low_quality", score + + return False, "text_ok", score + + +# ─── 텍스트 추출 (다단 레이아웃 대응) ──────────────────────────────────────── + +def _extract_page_text(page: object) -> str: + """다단(multi-column) 레이아웃을 고려한 텍스트 추출. + + page.get_text("blocks")로 블록 단위 추출 후 열(column) 순서로 재정렬한다. + - 단단(single-column): y0 기준 정렬 + - 2단: 블록 중심 x 좌표로 좌/우 분리 후, 왼쪽 열 → 오른쪽 열 순으로 y0 정렬 + """ + page_rect = page.rect # type: ignore[attr-defined] + mid_x = page_rect.width / 2 + + blocks = page.get_text("blocks") # type: ignore[attr-defined] + # block: (x0, y0, x1, y1, text, block_no, block_type) + # block_type=0: 텍스트, block_type=1: 이미지 + text_blocks = [ + (b[0], b[1], b[2], b[4]) # (x0, y0, x1, text) + for b in blocks + if b[6] == 0 and b[4].strip() + ] + + if not text_blocks: + return "" + + # 블록 중심 x 좌표로 좌/우 분리 + left = [(x0, y0, text) for x0, y0, x1, text in text_blocks if (x0 + x1) / 2 < mid_x] + right = [(x0, y0, text) for x0, y0, x1, text in text_blocks if (x0 + x1) / 2 >= mid_x] + + # 2단 감지: 좌우 모두 블록이 2개 이상이고, 우측이 전체의 25% 이상 + is_multicolumn = ( + len(left) >= 2 + and len(right) >= 2 + and len(right) / len(text_blocks) >= 0.25 + ) + + if is_multicolumn: + ordered = sorted(left, key=lambda b: b[1]) + sorted(right, key=lambda b: b[1]) + else: + ordered = [(x0, y0, text) for x0, y0, x1, text in sorted(text_blocks, key=lambda b: b[1])] + + return "\n".join(text for _, _, text in ordered) + + +# ─── 텍스트 정제 ────────────────────────────────────────────────────────────── + +def _clean_text(text: str) -> str: + text = re.sub(r"\n{3,}", "\n\n", text) + return "\n".join(line.rstrip() for line in text.splitlines()).strip() + + +# ─── 렌더링 헬퍼 ───────────────────────────────────────────────────────────── + +def _render_page(page: object, path: Path, dpi: int, quality: int) -> tuple[int, int]: + """페이지를 JPEG로 렌더링하고 (width, height)를 반환한다.""" + import fitz + scale = dpi / 72.0 + mat = fitz.Matrix(scale, scale) + pix = page.get_pixmap(matrix=mat, colorspace=fitz.csGRAY) # type: ignore[attr-defined] + path.write_bytes(pix.tobytes(output="jpg", jpg_quality=quality)) + return pix.width, pix.height + + +# ─── 토큰 추정 ──────────────────────────────────────────────────────────────── + +def _est_text_tokens(text: str) -> int: + return math.ceil(len(text) / 3.5) + + +def _est_image_tokens(w: int, h: int, n: int = 1) -> int: + """Claude Vision 기준 (512×512 타일당 ~170토큰).""" + return math.ceil(w / 512) * math.ceil(h / 512) * 170 * n + + +# ─── 처리 모드별 구현 ───────────────────────────────────────────────────────── + +def _run_text(doc: object, out_dir: Path) -> tuple[Path, list[PageDecision], int]: + parts: list[str] = [] + decisions: list[PageDecision] = [] + for i, page in enumerate(doc): # type: ignore[arg-type] + text = _clean_text(_extract_page_text(page)) + score = _text_quality_score(text) + decisions.append(PageDecision(i + 1, False, "forced_text", score)) + if text: + parts.append(f"[페이지 {i + 1}]\n{text}") + text_path = out_dir / "text.txt" + text_path.write_text("\n\n".join(parts), encoding="utf-8") + tokens = _est_text_tokens(text_path.read_text(encoding="utf-8")) + return text_path, decisions, tokens + + +def _run_images( + doc: object, out_dir: Path, dpi: int, quality: int +) -> tuple[list[Path], list[PageDecision], int]: + paths: list[Path] = [] + decisions: list[PageDecision] = [] + total_tokens = 0 + for i, page in enumerate(doc): # type: ignore[arg-type] + path = out_dir / f"page_{i + 1:03d}.jpg" + w, h = _render_page(page, path, dpi, quality) + total_tokens += _est_image_tokens(w, h) + decisions.append(PageDecision(i + 1, True, "forced_images", 0.0, path)) + paths.append(path) + return paths, decisions, total_tokens + + +def _run_mixed( + doc: object, out_dir: Path, dpi: int, quality: int +) -> tuple[Path, list[Path], list[PageDecision], int]: + """페이지마다 수식 감지 → 이미지 또는 텍스트로 처리.""" + text_parts: list[str] = [] + img_paths: list[Path] = [] + decisions: list[PageDecision] = [] + total_tokens = 0 + + for i, page in enumerate(doc): # type: ignore[arg-type] + use_img, reason, score = _decide_page(page) + + if use_img: + img_path = out_dir / f"page_{i + 1:03d}.jpg" + w, h = _render_page(page, img_path, dpi, quality) + total_tokens += _est_image_tokens(w, h) + # txt 파일에 이미지 마커 삽입 + text_parts.append(f"[페이지 {i + 1} → 이미지: page_{i + 1:03d}.jpg]") + decisions.append(PageDecision(i + 1, True, reason, score, img_path)) + img_paths.append(img_path) + else: + text = _clean_text(_extract_page_text(page)) + total_tokens += _est_text_tokens(text) + if text: + text_parts.append(f"[페이지 {i + 1}]\n{text}") + decisions.append(PageDecision(i + 1, False, reason, score)) + + text_path = out_dir / "text.txt" + text_path.write_text("\n\n".join(text_parts), encoding="utf-8") + return text_path, img_paths, decisions, total_tokens + + +# ─── 스키마 참조 문서 ───────────────────────────────────────────────────────── + +_SCHEMA_REF = """\ +# TestMagick YAML 스키마 참조 + +## 최상위 구조 +```yaml +title: "시험지 제목" +course: "과목명" # 선택 +date: "YYYY-MM-DD" # 선택 +problems: + - id: "1" + type: mcq # 또는 short + ... +``` + +## Problem 필드 +| 필드 | 타입 | 설명 | +|------|------|------| +| `id` | str | 문제 식별자 (필수) | +| `type` | `mcq`\\|`short` | 객관식\\|주관식 | +| `question` | str | 일반 텍스트 문제 | +| `question_typst` | str | Typst 마크업 문제 (question 대신 사용) | +| `question_blocks` | list | 수식·표·그래프 블록 목록 | +| `choices` | list[str] | 객관식 선택지 (plain) | +| `choices_typst` | list[str] | 객관식 선택지 (Typst 수식) | +| `answer` | int\\|str | 정답 (mcq: 1-based 인덱스, short: 텍스트) | +| `answer_typst` | str | Typst 마크업 정답 (answer 대신 사용) | +| `subproblems` | list | 소문제 목록 (short 타입만) | +| `points` | float | 배점 (기본 1.0) | + +## question_blocks 타입 + +### formula — 수식 가운데 정렬 +```yaml +- type: formula + content: "cases(2x_1 + 3x_2 = 8, x_1 - x_2 = 1)" +``` + +### table — 표 +```yaml +- type: table + headers: ["연도", "매출"] + rows: + - ["2022", "1,500"] + - ["2023", "1,800"] +``` + +### requirements — 조건 박스 +```yaml +- type: requirements + content: "단, 소수점 첫째 자리에서 반올림하시오." +``` + +### typst — 자유 Typst 코드 +```yaml +- type: typst + content: | + #align(center)[$mat(delim: "[", 1, 2; 3, 4)$] +``` + +### graph — 방향 그래프 +```yaml +- type: graph + nodes: + - {id: "A", label: "$A$", pos: [0, 2]} + - {id: "B", label: "$B$", pos: [2, 2]} + edges: + - {from: "A", to: "B", directed: true, bend: 0} +``` +`pos`: [x, y], y↑ 기준. `bend`: 양수=왼쪽 굽힘, 음수=오른쪽. + +## question vs question_typst 선택 기준 +- `question`: 수식이 **전혀 없는** 순수 한국어/영어 텍스트만 사용 +- `question_typst`: 문장 안에 수식이 **한 글자라도** 있으면 반드시 사용 + - 인라인 수식(문장 중간)은 `$...$`로 감싼다 + - 예: `"$a_1 eq.not a_2$일 때, 이 연립방정식은 하나의 해만 가짐을 보여라."` + +```yaml +# ❌ 잘못된 예 — 수식을 그냥 텍스트로 삽입 +question: "a1 ≠ a2일 때, 유일해임을 보여라." + +# ✅ 올바른 예 — 인라인 수식을 $...$로 처리 +question_typst: "$a_1 eq.not a_2$일 때, 유일해임을 보여라." + +# ✅ 또 다른 예 — 여러 인라인 수식 +question_typst: "다항식 $p(x) = a_0 + a_1 x + a_2 x^2$이 점 $(1, 3)$을 지날 때 $a_0$를 구하라." +``` + +## subproblem 필드 +Problem과 동일 (id, type, question, question_typst, question_blocks, choices, answer, points). +단, subproblems 중첩 불가. + +## 자주 쓰는 Typst 수식 +| 내용 | Typst | +|------|-------| +| 분수 | `frac(a, b)` | +| 첨자/제곱 | `x_1`, `x^2` | +| 같지 않음 | `eq.not` | +| 행렬 | `mat(delim: "[", 1,2; 3,4)` | +| 첨가행렬 | `mat(delim: "[", augment: #2, 1,2,3; 4,5,6)` | +| 연립방정식 | `cases(x+y=1, x-y=2)` | +| 절댓값 | `abs(x)` | +| 노름 | `norm(x)` | +| 이항계수 | `binom(n, k)` | +| 합·곱 | `sum_(i=1)^n`, `product_(i=1)^n` | +| 극한 | `lim_(x -> 0)` | +| 편미분 | `partial / (partial x)` | +""" + +_PROMPT_HINT = """\ +# LLM에게 전달할 프롬프트 예시 + +## mixed 모드 (텍스트+이미지 혼합) +1. schema_ref.md 내용을 시스템 프롬프트 또는 첫 메시지에 붙여넣기 +2. text.txt 내용을 이어서 붙여넣기 +3. text.txt 내 `[페이지 N → 이미지: page_N.jpg]` 마커에 해당하는 이미지 첨부 +4. 아래 요청 프롬프트 입력 + +## 이미지 전용 모드 +1. schema_ref.md 붙여넣기 +2. page_*.jpg 이미지 모두 첨부 +3. 아래 요청 프롬프트 입력 + +--- + +## 요청 프롬프트 +``` +위 스키마를 참고하여, 첨부한 문제지를 TestMagick YAML 형식으로 변환해주세요. + +규칙: +- 각 문제 id는 원본 번호 그대로 사용 ("1", "2", ...) +- 독립 줄 수식(가운데 정렬)은 question_blocks의 formula 타입으로 ($ 없이 Typst 수식 문법) +- 행렬은 mat(delim: "[", ...) 사용, 첨가행렬은 augment: #N 파라미터 +- 소문제가 있으면 반드시 subproblems 배열로 +- 풀이/해설은 answer_typst에 Typst 마크업으로 작성 +- question 필드에는 수식이 전혀 없는 순수 텍스트만 사용 +- 문장 중간에 수식이 한 글자라도 있으면 반드시 question_typst 사용, + 인라인 수식은 $...$로 감쌀 것 + 예) question_typst: "$a_1 eq.not a_2$일 때, 유일해임을 보여라." +- choices/answer도 동일: 수식 포함 시 choices_typst, answer_typst 사용 +``` +""" + + +# ─── Markdown 변환 (marker-pdf) ────────────────────────────────────────────── + +def _require_marker() -> None: + try: + from marker.converters.pdf import PdfConverter # noqa: F401 + except ImportError: + raise ImportError( + "marker-pdf가 설치되어 있지 않습니다.\n" + "설치 명령: uv pip install 'testmagick[markdown]'" + ) + + +def convert_to_markdown(pdf_path: Path) -> str: + """marker-pdf를 사용해 PDF → Markdown (LaTeX 수식 포함)으로 변환한다.""" + from marker.converters.pdf import PdfConverter + from marker.models import create_model_dict + from marker.output import text_from_rendered + + converter = PdfConverter(artifact_dict=create_model_dict()) + rendered = converter(str(pdf_path)) + text, _, _ = text_from_rendered(rendered) + return text + + +def _run_markdown(pdf_path: Path, out_dir: Path) -> tuple[Path, int]: + md_text = convert_to_markdown(pdf_path) + md_path = out_dir / "content.md" + md_path.write_text(md_text, encoding="utf-8") + tokens = _est_text_tokens(md_text) + return md_path, tokens + + +# ─── 메인 함수 ──────────────────────────────────────────────────────────────── + +def preprocess_pdf( + pdf_path: Path, + out_dir: Path, + *, + method: Literal["auto", "mixed", "text", "images", "markdown"] = "auto", + dpi: int = 150, + quality: int = 72, +) -> PreprocessResult: + """PDF를 LLM 전달에 최적화된 형태로 전처리한다. + + 방법: + auto : 텍스트 레이어 있으면 mixed, 없으면 images (기본값) + mixed : 페이지마다 수식 감지 → 수식 페이지는 이미지, 나머지는 텍스트 + text : 모든 페이지 텍스트 추출 (강제) + images : 모든 페이지 이미지 압축 (강제) + markdown : marker-pdf로 PDF → LaTeX Markdown 변환 (content.md 출력) + """ + _require_pymupdf() + out_dir.mkdir(parents=True, exist_ok=True) + + import fitz + doc = fitz.open(str(pdf_path)) + page_count = len(doc) + + # auto → 문서 수준 텍스트 레이어 확인 후 mixed/images 결정 + if method == "auto": + total_chars = sum(len(p.get_text().strip()) for p in doc) + has_text = (total_chars / max(page_count, 1)) >= 80 + method = "mixed" if has_text else "images" + + text_file: Path | None = None + image_files: list[Path] = [] + decisions: list[PageDecision] = [] + est_tokens = 0 + + if method == "markdown": + doc.close() + _require_marker() + text_file, est_tokens = _run_markdown(pdf_path, out_dir) + else: + if method == "text": + text_file, decisions, est_tokens = _run_text(doc, out_dir) + + elif method == "images": + image_files, decisions, est_tokens = _run_images(doc, out_dir, dpi, quality) + + elif method == "mixed": + text_file, image_files, decisions, est_tokens = _run_mixed(doc, out_dir, dpi, quality) + + doc.close() + + schema_ref_path = out_dir / "schema_ref.md" + schema_ref_path.write_text(_SCHEMA_REF, encoding="utf-8") + (out_dir / "prompt.md").write_text(_PROMPT_HINT, encoding="utf-8") + + return PreprocessResult( + method=method, # type: ignore[arg-type] + text_file=text_file, + image_files=image_files, + schema_ref=schema_ref_path, + page_decisions=decisions, + page_count=page_count, + est_tokens=est_tokens, + ) diff --git a/src/testmagick/renderer.py b/src/testmagick/renderer.py index 34ace1e..e10464d 100644 --- a/src/testmagick/renderer.py +++ b/src/testmagick/renderer.py @@ -1,15 +1,26 @@ from __future__ import annotations import json +import math from dataclasses import dataclass from pathlib import Path from typing import Any from jinja2 import Environment, PackageLoader -from testmagick.schema import ExamSet, Problem - -OPTION_LABELS = "ABCDEFGHIJKLMNOPQRSTUVWXYZ" +from testmagick.schema import ( + ExamSet, + FormulaBlock, + GraphBlock, + Problem, + QuestionBlock, + RequirementsBlock, + SubProblem, + TableBlock, + TypstBlock, +) + +OPTION_LABELS = "①②③④⑤⑥⑦⑧⑨⑩⑪⑫⑬⑭⑮⑯⑰⑱⑲⑳" ProblemPayload = dict[str, Any] @@ -31,7 +42,69 @@ def typst_string(value: str) -> str: return json.dumps(value, ensure_ascii=False) +def _bend_ctrl( + from_pos: list[float], to_pos: list[float], bend_deg: float +) -> list[list[float]] | None: + """곡선 엣지의 cubic bezier 제어점 2개 계산. bend_deg=0이면 None(직선). + bend > 0: 진행 방향 기준 왼쪽 굽힘, bend < 0: 오른쪽 굽힘. + """ + if bend_deg == 0: + return None + fx, fy = from_pos + tx, ty = to_pos + dx, dy = tx - fx, ty - fy + d = math.sqrt(dx * dx + dy * dy) + if d < 1e-9: + return None + # 진행 방향 기준 왼쪽 수직 단위벡터 + perp_x, perp_y = -dy / d, dx / d + offset = d * math.tan(math.radians(bend_deg)) * 0.5 + # 1/3, 2/3 지점에서 수직 오프셋 → 자연스러운 호 모양 + c1 = [fx + dx / 3 + perp_x * offset, fy + dy / 3 + perp_y * offset] + c2 = [fx + 2 * dx / 3 + perp_x * offset, fy + 2 * dy / 3 + perp_y * offset] + return [c1, c2] + + +def _block_payload(block: QuestionBlock) -> dict[str, Any]: + if isinstance(block, TableBlock): + return { + "type": "table", + "headers": block.headers, + "rows": block.rows, + } + if isinstance(block, FormulaBlock): + return {"type": "formula", "content": block.content} + if isinstance(block, RequirementsBlock): + return {"type": "requirements", "content": block.content} + if isinstance(block, TypstBlock): + return {"type": "typst", "content": block.content} + if isinstance(block, GraphBlock): + node_pos = {n.id: n.pos for n in block.nodes} + return { + "type": "graph", + "nodes": [ + {"id": n.id, "label": n.label if n.label is not None else n.id, "pos": n.pos} + for n in block.nodes + ], + "edges": [ + { + "from": e.from_node, + "to": e.to, + "ctrl_pos": _bend_ctrl(node_pos[e.from_node], node_pos[e.to], e.bend), + "label": e.label, + "directed": e.directed, + "bidirectional": e.bidirectional, + } + for e in block.edges + ], + } + # TextBlock + return {"type": "text", "content": block.content} # type: ignore[union-attr] + + def _answer_label(problem: Problem) -> str: + if problem.subproblems: + return "—" answer_index = problem.resolved_answer_index() if answer_index is None: return "TEXT" @@ -55,36 +128,84 @@ def _choice_payload(problem: Problem) -> list[dict[str, str | bool]]: def _answer_payload(problem: Problem) -> dict[str, str | bool]: + if problem.subproblems: + return {"label": "—", "value": "", "is_typst": False} + if problem.type == "mcq": answer_index = problem.resolved_answer_index() if answer_index is None: return {"label": "TEXT", "value": "", "is_typst": False} - value, is_typst = problem.choice_item(answer_index) - return { - "label": option_label(answer_index - 1), - "value": value, - "is_typst": is_typst, - } + answer_value, answer_is_typst = problem.choice_item(answer_index) + label = option_label(answer_index - 1) + if problem.answer_typst: + return {"label": label, "value": problem.answer_typst, "is_typst": True} + return {"label": label, "value": answer_value, "is_typst": answer_is_typst} if problem.answer_typst: return {"label": "TEXT", "value": problem.answer_typst, "is_typst": True} return {"label": "TEXT", "value": problem.resolved_answer_text(), "is_typst": False} +def _sub_choice_payload(sub: SubProblem) -> list[dict[str, str | bool]]: + if sub.type != "mcq": + return [] + choices: list[dict[str, str | bool]] = [] + for i in range(1, sub.choice_count() + 1): + value, is_typst = sub.choice_item(i) + choices.append({"label": option_label(i - 1), "value": value, "is_typst": is_typst}) + return choices + + +def _sub_answer_payload(sub: SubProblem) -> dict[str, str | bool]: + if sub.type == "mcq": + answer_index = sub.resolved_answer_index() + if answer_index is None: + return {"label": "TEXT", "value": "", "is_typst": False} + answer_value, answer_is_typst = sub.choice_item(answer_index) + label = option_label(answer_index - 1) + if sub.answer_typst: + return {"label": label, "value": sub.answer_typst, "is_typst": True} + return {"label": label, "value": answer_value, "is_typst": answer_is_typst} + if sub.answer_typst: + return {"label": "TEXT", "value": sub.answer_typst, "is_typst": True} + return {"label": "TEXT", "value": str(sub.answer or ""), "is_typst": False} + + +def _subproblem_payload(sub: SubProblem) -> dict[str, Any]: + answer = _sub_answer_payload(sub) + return { + "id": sub.id, + "type": sub.type, + "question": sub.question or "", + "question_typst": sub.question_typst or "", + "question_is_typst": bool(sub.question_typst), + "question_blocks": [_block_payload(b) for b in (sub.question_blocks or [])], + "choices": _sub_choice_payload(sub), + "answer_text": str(answer["value"]), + "answer_is_typst": bool(answer["is_typst"]), + "answer_label": str(answer["label"]), + "points": sub.points, + } + + def _problem_payload(problem: Problem) -> ProblemPayload: answer = _answer_payload(problem) + has_subproblems = bool(problem.subproblems) return { "id": problem.id, "type": problem.type, "question": problem.question or "", "question_typst": problem.question_typst or "", "question_is_typst": bool(problem.question_typst), + "question_blocks": [_block_payload(b) for b in (problem.question_blocks or [])], "choices": _choice_payload(problem), "points": problem.points, "answer_text": str(answer["value"]), "answer_is_typst": bool(answer["is_typst"]), "answer_label": str(answer["label"]) or _answer_label(problem), "source": problem.source, + "has_subproblems": has_subproblems, + "subproblems": [_subproblem_payload(sp) for sp in (problem.subproblems or [])], } diff --git a/src/testmagick/schema.py b/src/testmagick/schema.py index 54b2963..d834b2d 100644 --- a/src/testmagick/schema.py +++ b/src/testmagick/schema.py @@ -1,21 +1,248 @@ from __future__ import annotations -from typing import Literal +from typing import Annotated, Literal, Union -from pydantic import BaseModel, Field, field_validator, model_validator +from pydantic import BaseModel, ConfigDict, Field, field_validator, model_validator QuestionType = Literal["mcq", "short"] +# ─── Content Block Types ────────────────────────────────────────────────────── + +class TextBlock(BaseModel): + type: Literal["text"] = "text" + content: str + + +class TypstBlock(BaseModel): + type: Literal["typst"] = "typst" + content: str + + +class FormulaBlock(BaseModel): + type: Literal["formula"] = "formula" + content: str # Typst math expression (without $ delimiters) + + +class RequirementsBlock(BaseModel): + type: Literal["requirements"] = "requirements" + content: str + + +class TableBlock(BaseModel): + type: Literal["table"] = "table" + headers: list[str] | None = None + rows: list[list[str]] = Field(default_factory=list) + + @model_validator(mode="after") + def _validate_table(self) -> TableBlock: + col_source = self.headers if self.headers is not None else ( + self.rows[0] if self.rows else None + ) + if col_source is None: + raise ValueError("TableBlock에는 headers 또는 최소 한 개의 rows가 필요합니다.") + expected = len(col_source) + for i, row in enumerate(self.rows): + if len(row) != expected: + raise ValueError( + f"TableBlock의 {i + 1}번째 행의 열 수({len(row)})가 " + f"기준 열 수({expected})와 다릅니다." + ) + return self + + +class GraphNode(BaseModel): + id: str = Field(min_length=1) + label: str | None = None # Typst 콘텐츠; None이면 id를 그대로 표시 + pos: list[float] # [x, y] 그리드 좌표 + + @field_validator("id") + @classmethod + def _strip_id(cls, value: str) -> str: + cleaned = value.strip() + if not cleaned: + raise ValueError("GraphNode id는 비워둘 수 없습니다.") + return cleaned + + @field_validator("pos") + @classmethod + def _validate_pos(cls, value: list[float]) -> list[float]: + if len(value) != 2: + raise ValueError("pos는 [x, y] 형식으로 정확히 2개의 숫자여야 합니다.") + return value + + +class GraphEdge(BaseModel): + model_config = ConfigDict(populate_by_name=True) + + from_node: str = Field(alias="from", min_length=1) + to: str = Field(min_length=1) + + @field_validator("from_node", "to") + @classmethod + def _strip_node_ref(cls, value: str) -> str: + cleaned = value.strip() + if not cleaned: + raise ValueError("GraphEdge의 from/to는 비워둘 수 없습니다.") + return cleaned + label: str | None = None # 간선 레이블 (Typst 콘텐츠) + bend: float = 0 # 곡선 각도(degree); 양수=왼쪽, 음수=오른쪽 + directed: bool = True # True → 화살표, False → 선 + bidirectional: bool = False # 양방향 화살표 + + +class GraphBlock(BaseModel): + type: Literal["graph"] = "graph" + nodes: list[GraphNode] = Field(min_length=1) + edges: list[GraphEdge] = Field(default_factory=list) + + @model_validator(mode="after") + def _validate_edges(self) -> GraphBlock: + node_ids = {n.id for n in self.nodes} + for edge in self.edges: + if edge.from_node not in node_ids: + raise ValueError(f"엣지의 from 노드 '{edge.from_node}'가 nodes에 없습니다.") + if edge.to not in node_ids: + raise ValueError(f"엣지의 to 노드 '{edge.to}'가 nodes에 없습니다.") + return self + + +QuestionBlock = Annotated[ + Union[TextBlock, TypstBlock, FormulaBlock, RequirementsBlock, TableBlock, GraphBlock], + Field(discriminator="type"), +] + + +# ─── Sub-Problem ────────────────────────────────────────────────────────────── + +class SubProblem(BaseModel): + id: str = Field(min_length=1) + type: QuestionType = "short" + question: str | None = None + question_typst: str | None = None + question_blocks: list[QuestionBlock] | None = None + answer: str | int | None = None + answer_typst: str | None = None + choices: list[str] | None = None + choices_typst: list[str] | None = None + points: float = Field(default=1.0, gt=0) + + @field_validator("id") + @classmethod + def _strip_id(cls, value: str) -> str: + cleaned = value.strip() + if not cleaned: + raise ValueError("소문제 id는 비워둘 수 없습니다.") + return cleaned + + @field_validator("question", "question_typst", "answer_typst") + @classmethod + def _strip_optional_text(cls, value: str | None) -> str | None: + if value is None: + return None + cleaned = value.strip() + return cleaned or None + + @field_validator("answer") + @classmethod + def _normalize_answer(cls, value: str | int | None) -> str | int | None: + if isinstance(value, str): + cleaned = value.strip() + return cleaned or None + return value + + @field_validator("choices", "choices_typst") + @classmethod + def _normalize_choices(cls, value: list[str] | None) -> list[str] | None: + if value is None: + return None + cleaned = [c.strip() for c in value if c and c.strip()] + return cleaned or None + + @model_validator(mode="after") + def _validate_shape(self) -> SubProblem: + if not self.question and not self.question_typst and not self.question_blocks: + raise ValueError( + "소문제에는 question, question_typst, 또는 question_blocks 중 하나가 필요합니다." + ) + + if self.type == "mcq": + plain_count = len(self.choices or []) + typst_count = len(self.choices_typst or []) + if plain_count == 0 and typst_count == 0: + raise ValueError("객관식 소문제에는 choices 또는 choices_typst가 필요합니다.") + if plain_count > 0 and typst_count > 0 and plain_count != typst_count: + raise ValueError("choices와 choices_typst를 함께 쓰면 길이가 같아야 합니다.") + choice_count = plain_count or typst_count + if choice_count < 2: + raise ValueError("객관식 소문제 선택지는 최소 2개 이상이어야 합니다.") + if self.answer is None: + raise ValueError("객관식 소문제에는 정답(answer)이 필요합니다.") + if isinstance(self.answer, int): + if self.answer < 1 or self.answer > choice_count: + raise ValueError("객관식 정답 인덱스가 선택지 범위를 벗어났습니다.") + else: + answer_text = self.answer.strip() if isinstance(self.answer, str) else "" + if not self.choices: + raise ValueError("텍스트 정답을 쓰려면 일반 choices가 필요합니다.") + if answer_text not in self.choices: + raise ValueError( + "객관식 텍스트 정답은 choices 중 하나와 정확히 일치해야 합니다." + ) + self.answer = answer_text + else: + if self.choices or self.choices_typst: + raise ValueError("주관식 소문제에는 choices/choices_typst를 넣을 수 없습니다.") + if isinstance(self.answer, int): + raise ValueError("주관식 소문제 answer는 텍스트여야 합니다.") + answer_text = self.answer.strip() if isinstance(self.answer, str) else "" + if not answer_text and not self.answer_typst: + raise ValueError( + "주관식 소문제에는 answer 또는 answer_typst 중 하나가 필요합니다." + ) + self.answer = answer_text or None + return self + + def choice_count(self) -> int: + if self.type != "mcq": + return 0 + return len(self.choices_typst or self.choices or []) + + def choice_item(self, index_1_based: int) -> tuple[str, bool]: + if self.type != "mcq": + raise ValueError("choice_item은 객관식(mcq) 소문제에서만 사용할 수 있습니다.") + if self.choices_typst: + return self.choices_typst[index_1_based - 1], True + if self.choices: + return self.choices[index_1_based - 1], False + raise ValueError("객관식 소문제에 선택지가 없습니다.") + + def resolved_answer_index(self) -> int | None: + if self.type != "mcq": + return None + if isinstance(self.answer, int): + return self.answer + if isinstance(self.answer, str) and self.choices: + try: + return self.choices.index(self.answer) + 1 + except ValueError: + return None + return None + + +# ─── Problem ────────────────────────────────────────────────────────────────── + class Problem(BaseModel): id: str = Field(min_length=1) type: QuestionType question: str | None = None question_typst: str | None = None + question_blocks: list[QuestionBlock] | None = None answer: str | int | None = None answer_typst: str | None = None choices: list[str] | None = None choices_typst: list[str] | None = None + subproblems: list[SubProblem] | None = None source: str | None = None points: float = Field(default=1.0, gt=0) @@ -55,8 +282,10 @@ def _normalize_choices(cls, value: list[str] | None) -> list[str] | None: @model_validator(mode="after") def _validate_shape(self) -> Problem: - if not self.question and not self.question_typst: - raise ValueError("문항에는 question 또는 question_typst 중 하나가 필요합니다.") + if not self.question and not self.question_typst and not self.question_blocks: + raise ValueError( + "문항에는 question, question_typst, 또는 question_blocks 중 하나가 필요합니다." + ) if self.type == "mcq": plain_count = len(self.choices or []) @@ -87,19 +316,29 @@ def _validate_shape(self) -> Problem: ) self.answer = answer_text - if self.answer_typst: - raise ValueError("객관식 문항에는 answer_typst를 사용할 수 없습니다.") + if self.subproblems: + raise ValueError("객관식 문항에는 subproblems를 사용할 수 없습니다.") else: if self.choices or self.choices_typst: raise ValueError("주관식 문항에는 choices/choices_typst를 넣을 수 없습니다.") if isinstance(self.answer, int): raise ValueError("주관식 answer는 텍스트여야 합니다.") - answer_text = "" - if isinstance(self.answer, str): - answer_text = self.answer.strip() - if not answer_text and not self.answer_typst: - raise ValueError("주관식 문항에는 answer 또는 answer_typst 중 하나가 필요합니다.") - self.answer = answer_text or None + + if self.subproblems: + if self.answer is not None or self.answer_typst: + raise ValueError( + "subproblems가 있는 문항에는 answer/answer_typst를 직접 넣지 마세요." + ) + else: + answer_text = "" + if isinstance(self.answer, str): + answer_text = self.answer.strip() + if not answer_text and not self.answer_typst: + raise ValueError( + "주관식 문항에는 answer, answer_typst, 또는" + " subproblems 중 하나가 필요합니다." + ) + self.answer = answer_text or None return self def choice_count(self) -> int: diff --git a/src/testmagick/templates/_blocks.typ.j2 b/src/testmagick/templates/_blocks.typ.j2 new file mode 100644 index 0000000..e29d3c4 --- /dev/null +++ b/src/testmagick/templates/_blocks.typ.j2 @@ -0,0 +1,95 @@ +{% macro render_blocks(blocks) -%} +{%- for block in blocks %} +{%- if block.type == "text" %} +#{{ block.content | typst_string }} +{%- elif block.type == "typst" %} +{{ block.content }} +{%- elif block.type == "formula" %} +#v(8pt) +#align(center)[${{ block.content }}$] +#v(4pt) +{%- elif block.type == "requirements" %} +#v(5pt) +#block( + width: 100%, + inset: (x: 8pt, y: 5pt), + stroke: (left: 2pt + luma(180)), + fill: luma(248), +)[ + #set text(size: 10pt, style: "italic") + #{{ block.content | typst_string }} +] +#v(3pt) +{%- elif block.type == "table" %} +{%- set col_source = block.headers if block.headers else (block.rows[0] if block.rows else []) %} +{%- if col_source %} +#v(8pt) +#align(center)[ + #table( + columns: ({% for _ in col_source %}auto{% if not loop.last %}, {% endif %}{% endfor %}), + stroke: 0.5pt + luma(160), + inset: (x: 8pt, y: 6pt), + align: center + horizon, +{%- if block.headers %} +{%- for h in block.headers %} + table.cell(fill: luma(230))[#text(weight: "bold")[#{{ h | typst_string }}]], +{%- endfor %} +{%- endif %} +{%- for row in block.rows %} +{%- for cell in row %} + [#{{ cell | typst_string }}], +{%- endfor %} +{%- endfor %} + ) +] +#v(8pt) +{%- endif %} +{%- elif block.type == "graph" %} +#v(8pt) +#align(center)[ + #{ + import "@preview/cetz:0.3.4": canvas, draw + let _r = 0.45 + let _ns = 0.8pt + rgb("#4a9ede") + let _nf = rgb("#d6eef8") + let _ef(a, b) = { + let dx = b.at(0) - a.at(0) + let dy = b.at(1) - a.at(1) + let d = calc.sqrt(dx * dx + dy * dy) + if d < 0.001 { a } else { (a.at(0) + dx / d * _r, a.at(1) + dy / d * _r) } + } + canvas({ + import draw: * + let _aw = (end: ">", fill: black) + let _baw = (start: ">", end: ">", fill: black) + let _p = ( +{%- for n in block.nodes %} + {{ n.id | typst_string }}: ({{ n.pos[0] }}, {{ n.pos[1] }}), +{%- endfor %} + ) +{%- for e in block.edges %} +{%- if e.ctrl_pos %} + let _c1_{{ loop.index }} = ({{ e.ctrl_pos[0][0] }}, {{ e.ctrl_pos[0][1] }}) + let _c2_{{ loop.index }} = ({{ e.ctrl_pos[1][0] }}, {{ e.ctrl_pos[1][1] }}) + bezier(_ef(_p.at({{ e.from | typst_string }}), _c1_{{ loop.index }}), _ef(_p.at({{ e.to | typst_string }}), _c2_{{ loop.index }}), _c1_{{ loop.index }}, _c2_{{ loop.index }}, mark: {% if e.bidirectional %}_baw{% elif e.directed %}_aw{% endif %}) +{%- if e.label %} + content(((_c1_{{ loop.index }}.at(0) + _c2_{{ loop.index }}.at(0)) / 2, (_c1_{{ loop.index }}.at(1) + _c2_{{ loop.index }}.at(1)) / 2), box(fill: white, inset: 2pt)[#text(size: 8pt)[{{ e.label }}]]) +{%- endif %} +{%- else %} + line(_ef(_p.at({{ e.from | typst_string }}), _p.at({{ e.to | typst_string }})), _ef(_p.at({{ e.to | typst_string }}), _p.at({{ e.from | typst_string }})), mark: {% if e.bidirectional %}_baw{% elif e.directed %}_aw{% endif %}) +{%- if e.label %} + content(((_p.at({{ e.from | typst_string }}).at(0) + _p.at({{ e.to | typst_string }}).at(0)) / 2, (_p.at({{ e.from | typst_string }}).at(1) + _p.at({{ e.to | typst_string }}).at(1)) / 2), box(fill: white, inset: 2pt)[#text(size: 8pt)[{{ e.label }}]]) +{%- endif %} +{%- endif %} +{%- endfor %} +{%- for n in block.nodes %} + circle(_p.at({{ n.id | typst_string }}), radius: _r, stroke: _ns, fill: _nf) + content(_p.at({{ n.id | typst_string }}), [{{ n.label }}]) +{%- endfor %} + }) + } +] +#v(8pt) +{%- endif %} +{%- endfor %} +{%- endmacro %} diff --git a/src/testmagick/templates/answer.typ.j2 b/src/testmagick/templates/answer.typ.j2 index 8004112..4c39693 100644 --- a/src/testmagick/templates/answer.typ.j2 +++ b/src/testmagick/templates/answer.typ.j2 @@ -20,6 +20,9 @@ justify: true, ) +#show math.equation.where(block: false): it => text(size: 12pt, it) +#show table.cell.where(y: 0): set text(weight: "bold") + // ─── Header ─── #align(center)[ {% if course %} @@ -44,25 +47,32 @@ #text(size: 10.5pt, weight: "bold")[Answer Summary] ] #v(6pt) +{% for chunk in problems | batch(10) %} +{% set offset = loop.index0 * 10 %} #align(center)[ #table( - columns: ({% for p in problems %}38pt{% if not loop.last %}, {% endif %}{% endfor %}), + columns: ({% for p in chunk %}38pt{% if not loop.last %}, {% endif %}{% endfor %}), align: center + horizon, stroke: 0.4pt + luma(160), inset: 6pt, - ..for i in range({{ problems | length }}) { - (table.cell(fill: luma(240))[#text(size: 8.5pt, weight: "bold")[#str(i + 1)]],) + ..for i in range({{ chunk | length }}) { + (table.cell(fill: luma(240))[#text(size: 8.5pt, weight: "bold")[#str({{ offset }} + i + 1)]],) }, -{% for p in problems %} +{% for p in chunk %} [#text(size: 9.5pt, weight: "bold")[{{ p.answer_label }}]], {% endfor %} ) ] +{% if not loop.last %}#v(4pt){% endif %} +{% endfor %} #v(20pt) #line(length: 100%, stroke: 0.4pt + luma(180)) #v(16pt) +// ─── Table auto style (applies only to content tables below) ─── +#set table(fill: (x, y) => if y == 0 { luma(230) } else { none }) + // ─── Detailed Solutions ─── {% for p in problems %} #block( @@ -74,12 +84,13 @@ #grid( columns: (auto, 1fr, auto), align: horizon, - text(weight: "bold", size: 11pt)[{{ loop.index }}. \[{{ p.id }}\]], + text(weight: "bold", size: 11pt)[{{ loop.index }}.], [], - text(size: 9.5pt, weight: "bold")[Answer: {{ p.answer_label }}{% if p.type == "mcq" %}.{% endif %}], + text(size: 9.5pt, weight: "bold")[{% if p.has_subproblems %}소문제 포함{% else %}정답: {{ p.answer_label }}{% endif %}], ) #v(4pt) +{% if not p.has_subproblems %} #pad(left: 16pt)[ {% if p.answer_is_typst %} {{ p.answer_text }} @@ -87,14 +98,37 @@ #{{ p.answer_text | typst_string }} {% endif %} ] +{% else %} +{% for sub in p.subproblems %} + #v(6pt) + #pad(left: 16pt)[ + #grid( + columns: (auto, 1fr, auto), + column-gutter: 6pt, + align: top, + text(weight: "bold")[{{ sub.id | typst_string }}], + [ +{% if sub.answer_is_typst %} +{{ sub.answer_text }} +{% else %} +#{{ sub.answer_text | typst_string }} +{% endif %} + ], + text(size: 9.5pt, weight: "bold")[정답: {{ sub.answer_label }}], + ) + ] +{% if not loop.last %} + #v(3pt) + #line(length: 88%, stroke: 0.2pt + luma(210)) +{% endif %} +{% endfor %} +{% endif %} {% if p.source %} #v(3pt) #pad(left: 16pt)[ #set text(size: 9pt, fill: luma(120), style: "italic") -{% if p.source %} Source: #{{ p.source | typst_string }} -{% endif %} ] {% endif %} diff --git a/src/testmagick/templates/exam.typ.j2 b/src/testmagick/templates/exam.typ.j2 index 6571b38..d186688 100644 --- a/src/testmagick/templates/exam.typ.j2 +++ b/src/testmagick/templates/exam.typ.j2 @@ -1,3 +1,4 @@ +{% from "_blocks.typ.j2" import render_blocks %} // ─── Page Setup ─── #set page( paper: "a4", @@ -20,6 +21,10 @@ justify: true, ) +#show math.equation.where(block: false): it => text(size: 12pt, it) +#set table(fill: (x, y) => if y == 0 { luma(230) } else { none }) +#show table.cell.where(y: 0): set text(weight: "bold") + // ─── Header ─── #align(center)[ {% if course %} @@ -75,15 +80,65 @@ #v(3pt) {% if p.question_is_typst %} {{ p.question_typst }} -{% else %} +{% elif p.question %} #{{ p.question | typst_string }} {% endif %} -{% if p.type == "mcq" %} +{% if p.question_blocks %} +{{ render_blocks(p.question_blocks) }} +{% endif %} +{% if p.has_subproblems %} + #v(16pt) +{% for sub in p.subproblems %} + #block( + width: 100%, + breakable: true, + above: {% if loop.first %}0pt{% else %}16pt{% endif %}, + below: 0pt, + )[ + #pad(left: 16pt)[ + #grid( + columns: (auto, 1fr), + column-gutter: 6pt, + align: top, + text(weight: "bold")[{{ sub.id | typst_string }}], + [ +{% if sub.question_is_typst %} +{{ sub.question_typst }} +{% elif sub.question %} +#{{ sub.question | typst_string }} +{% endif %} +{% if sub.question_blocks %} +{{ render_blocks(sub.question_blocks) }} +{% endif %} +{% if sub.type == "mcq" %} + #v(4pt) + #pad(left: 8pt)[ +{% for choice in sub.choices %} + #block(spacing: 5pt)[{{ choice.label }} #h(4pt) {% if choice.is_typst %}{{ choice.value }}{% else %}#{{ choice.value | typst_string }}{% endif %}] +{% if not loop.last %} + #v(2pt) +{% endif %} +{% endfor %} + ] +{% else %} + #v(6pt) + #block( + width: 100%, + height: 25pt, + stroke: (bottom: 0.4pt + luma(200)), + )[] +{% endif %} + ], + ) + ] + ] +{% endfor %} +{% elif p.type == "mcq" %} #v(7pt) #pad(left: 16pt)[ {% for choice in p.choices %} - #block(spacing: 7pt)[({{ choice.label }}) #h(4pt) {% if choice.is_typst %}{{ choice.value }}{% else %}#{{ choice.value | typst_string }}{% endif %}] + #block(spacing: 7pt)[{{ choice.label }} #h(4pt) {% if choice.is_typst %}{{ choice.value }}{% else %}#{{ choice.value | typst_string }}{% endif %}] {% if not loop.last %} #v(4pt) {% endif %} diff --git a/tests/test_renderer.py b/tests/test_renderer.py index 96c537e..ba15f42 100644 --- a/tests/test_renderer.py +++ b/tests/test_renderer.py @@ -26,7 +26,7 @@ def test_render_typst_files(tmp_path: Path) -> None: assert rendered.exam_typ.exists() assert rendered.answer_typ.exists() assert "Select one." in rendered.exam_typ.read_text(encoding="utf-8") - assert "Answer:" in rendered.answer_typ.read_text(encoding="utf-8") + assert "정답:" in rendered.answer_typ.read_text(encoding="utf-8") def test_render_typst_passthrough_fields(tmp_path: Path) -> None: @@ -60,3 +60,84 @@ def test_render_typst_passthrough_fields(tmp_path: Path) -> None: assert '#raw(block: true, lang: "python", "print(1)")' in exam_typ assert "$x=2$" in answer_typ assert "$1$" in answer_typ + + +def test_render_question_blocks(tmp_path: Path) -> None: + exam = ExamSet.model_validate({ + "title": "Blocks", + "problems": [{ + "id": "Q1", + "type": "short", + "question": "다음을 보고 답하라.", + "question_blocks": [ + {"type": "formula", "content": "x^2 + y^2 = 1"}, + {"type": "requirements", "content": "단, x > 0"}, + {"type": "table", "headers": ["x", "y"], "rows": [["1", "0"], ["0", "1"]]}, + ], + "answer": "원", + }], + }) + rendered = render_typst_files(exam_set=exam, out_dir=tmp_path) + exam_typ = rendered.exam_typ.read_text(encoding="utf-8") + assert "x^2 + y^2 = 1" in exam_typ + assert "x > 0" in exam_typ + assert '"x"' in exam_typ # table header + + +def test_render_subproblems(tmp_path: Path) -> None: + exam = ExamSet.model_validate({ + "title": "Sub", + "problems": [{ + "id": "Q1", + "type": "short", + "question": "참/거짓을 판단하라.", + "subproblems": [ + { + "id": "(a)", + "type": "mcq", + "question": "1+1=2인가?", + "choices": ["참", "거짓"], + "answer": 1, + "answer_typst": "참이다.", + }, + { + "id": "(b)", + "type": "short", + "question": "2+2는?", + "answer": "4", + }, + ], + }], + }) + rendered = render_typst_files(exam_set=exam, out_dir=tmp_path) + exam_typ = rendered.exam_typ.read_text(encoding="utf-8") + answer_typ = rendered.answer_typ.read_text(encoding="utf-8") + assert "(a)" in exam_typ + assert "(b)" in exam_typ + assert "참이다." in answer_typ + assert "정답:" in answer_typ + + +def test_render_graph_block(tmp_path: Path) -> None: + exam = ExamSet.model_validate({ + "title": "Graph", + "problems": [{ + "id": "Q1", + "type": "short", + "question": "그래프를 보고 답하라.", + "question_blocks": [{ + "type": "graph", + "nodes": [ + {"id": "A", "pos": [0, 0]}, + {"id": "B", "pos": [2, 0]}, + ], + "edges": [{"from": "A", "to": "B", "label": "$w$"}], + }], + "answer": "연결됨", + }], + }) + rendered = render_typst_files(exam_set=exam, out_dir=tmp_path) + exam_typ = rendered.exam_typ.read_text(encoding="utf-8") + assert '"A"' in exam_typ + assert '"B"' in exam_typ + assert "$w$" in exam_typ # edge label rendered diff --git a/tests/test_schema.py b/tests/test_schema.py index e6689f5..0c4cbc3 100644 --- a/tests/test_schema.py +++ b/tests/test_schema.py @@ -1,4 +1,6 @@ -from testmagick.schema import ExamSet +import pytest + +from testmagick.schema import ExamSet, GraphBlock, GraphEdge, GraphNode, TableBlock def test_valid_examset_parses() -> None: @@ -87,3 +89,112 @@ def test_duplicate_problem_id_fails() -> None: assert "중복된 문제 ID가 있습니다: Q1" in str(exc) else: raise AssertionError("중복 ID 검증 오류가 발생해야 합니다.") + + +# ─── TableBlock 유효성 검사 ─────────────────────────────────────────────────── + +def test_table_block_valid_with_headers() -> None: + block = TableBlock.model_validate({ + "type": "table", + "headers": ["A", "B"], + "rows": [["1", "2"], ["3", "4"]], + }) + assert len(block.rows) == 2 + + +def test_table_block_valid_no_headers() -> None: + block = TableBlock.model_validate({ + "type": "table", + "rows": [["x", "y"], ["1", "2"]], + }) + assert block.headers is None + + +def test_table_block_empty_fails() -> None: + with pytest.raises(Exception, match="headers 또는 최소 한 개의 rows"): + TableBlock.model_validate({"type": "table"}) + + +def test_table_block_mismatched_row_length_fails() -> None: + with pytest.raises(Exception, match="열 수"): + TableBlock.model_validate({ + "type": "table", + "headers": ["A", "B", "C"], + "rows": [["1", "2"]], + }) + + +# ─── GraphNode / GraphEdge 제약 ─────────────────────────────────────────────── + +def test_graph_node_empty_id_fails() -> None: + with pytest.raises(Exception): + GraphNode.model_validate({"id": " ", "pos": [0, 0]}) + + +def test_graph_edge_empty_from_fails() -> None: + with pytest.raises(Exception): + GraphEdge.model_validate({"from": "", "to": "B"}) + + +def test_graph_edge_empty_to_fails() -> None: + with pytest.raises(Exception): + GraphEdge.model_validate({"from": "A", "to": " "}) + + +def test_graph_block_valid() -> None: + block = GraphBlock.model_validate({ + "type": "graph", + "nodes": [ + {"id": "A", "pos": [0, 0]}, + {"id": "B", "pos": [1, 0]}, + ], + "edges": [{"from": "A", "to": "B", "label": "$w$"}], + }) + assert block.edges[0].label == "$w$" + + +def test_graph_block_invalid_edge_ref_fails() -> None: + with pytest.raises(Exception, match="nodes에 없습니다"): + GraphBlock.model_validate({ + "type": "graph", + "nodes": [{"id": "A", "pos": [0, 0]}], + "edges": [{"from": "A", "to": "Z"}], + }) + + +# ─── MCQ + answer_typst (schema 허용 확인) ──────────────────────────────────── + +def test_mcq_subproblem_with_answer_typst() -> None: + exam = ExamSet.model_validate({ + "title": "T", + "problems": [{ + "id": "Q1", + "type": "short", + "question": "참/거짓을 판단하고 설명하라.", + "subproblems": [{ + "id": "(a)", + "type": "mcq", + "question": "명제가 참인가?", + "choices": ["참", "거짓"], + "answer": 2, + "answer_typst": "거짓이다. 반례: ...", + }], + }], + }) + sub = exam.problems[0].subproblems[0] # type: ignore[index] + assert sub.answer_typst == "거짓이다. 반례: ..." + + +def test_mcq_problem_with_answer_typst() -> None: + exam = ExamSet.model_validate({ + "title": "T", + "problems": [{ + "id": "Q1", + "type": "mcq", + "question": "다음 중 옳은 것은?", + "choices": ["A", "B", "C"], + "answer": 1, + "answer_typst": "A가 옳다. 이유: ...", + }], + }) + assert exam.problems[0].answer_typst == 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