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const horizontals = detectBands(ink, width, height, minLenPx, maxThickPx, false)\n  const verticals = detectBands(ink, width, height, minLenPx, maxThickPx, true)\n  return { horizontals, verticals }\n}\n\n/** 열린 밴드 — 인접 스캔라인의 런을 누적 */\ninterface Band {\n  lo: number // 런 진행축 시작 (h: x1, v: y1)\n  hi: number // 런 진행축 끝\n  first: number // 직교축 시작 스캔라인 (h: yTop, v: xLeft)\n  last: number // 직교축 마지막 스캔라인\n}\n\n/**\n * 스캔라인 런렝스 → 인접 라인 밴드 병합 → 두께 필터 → 선분 방출.\n * transpose=false 면 수평선(행 스캔), true 면 수직선(열 스캔).\n */\nfunction detectBands(\n  ink: Uint8Array,\n  width: number,\n  height: number,\n  minLenPx: number,\n  maxThickPx: number,\n  transpose: boolean,\n): PxSegment[] {\n  const lines = transpose ? width : height // 스캔라인 개수 (직교축)\n  const span = transpose ? height : width // 런 진행축 길이\n  const at = transpose\n    ? (line: number, pos: number) => ink[pos * width + line]\n    : (line: number, pos: number) => ink[line * width + pos]\n\n  const out: PxSegment[] = []\n  let open: Band[] = []\n\n  /** 밴드 양측(±2px 스캔라인)의 잉크 비율 — 채운 색상바 안 흰 글자 틈새 슬리버 판별 */\n  const surroundInkRatio = (b: Band, side: number): number => {\n    if (side < 0 || side >= lines) return 0\n    let dark = 0, total = 0\n    for (let pos = b.lo; pos <= b.hi; pos += 3) {\n      total++\n      if (at(side, pos) === 1) dark++\n    }\n    return total > 0 ? dark / total : 0\n  }\n\n  const emit = (b: Band) => {\n    const thick = b.last - b.first + 1\n    if (thick > maxThickPx) return // 색상바·텍스트 밴드\n    if (\n      surroundInkRatio(b, b.first - 2) >= SURROUND_INK_RATIO &&\n      surroundInkRatio(b, b.last + 2) >= SURROUND_INK_RATIO\n    ) return // 채운 영역 내부 슬리버\n    const center = (b.first + b.last) / 2\n    out.push(\n      transpose\n        ? { x1: center, y1: b.lo, x2: center, y2: b.hi, thicknessPx: thick }\n        : { x1: b.lo, y1: center, x2: b.hi, y2: center, thicknessPx: thick },\n    )\n  }\n\n  for (let line = 0; line < lines; line++) {\n    // 1) 이 스캔라인의 잉크 런 수집 (GAP_TOL_PX 이하 끊김 허용)\n    const runs: Array<{ lo: number; hi: number }> = []\n    let runStart = -1\n    let gap = 0\n    for (let pos = 0; pos <= span; pos++) {\n      const on = pos < span && at(line, pos) === 1\n      if (on) {\n        if (runStart < 0) runStart = pos\n        gap = 0\n      } else if (runStart >= 0) {\n        if (++gap > GAP_TOL_PX || pos >= span) {\n          const hi = pos - gap\n          if (hi - runStart + 1 >= minLenPx) runs.push({ lo: runStart, hi })\n          runStart = -1\n          gap = 0\n        }\n      }\n    }\n\n    // 2) 열린 밴드와 병합 — 직전 스캔라인까지 이어졌고 범위가 겹치면 확장\n    const next: Band[] = []\n    const used = new Set<number>()\n    for (const band of open) {\n      if (band.last !== line - 1) { emit(band); continue } // 연속 끊김 → 확정\n      let merged = false\n      for (let r = 0; r < runs.length; r++) {\n        if (used.has(r)) continue\n        const run = runs[r]\n        const overlap = Math.min(band.hi, run.hi) - Math.max(band.lo, run.lo) + 1\n        const shorter = Math.min(band.hi - band.lo, run.hi - run.lo) + 1\n        if (overlap >= shorter * BAND_OVERLAP_RATIO) {\n          band.lo = Math.min(band.lo, run.lo)\n          band.hi = Math.max(band.hi, run.hi)\n          band.last = line\n          next.push(band)\n          used.add(r)\n          merged = true\n          break\n        }\n      }\n      if (!merged) emit(band)\n    }\n    for (let r = 0; r < runs.length; r++) {\n      if (!used.has(r)) next.push({ lo: runs[r].lo, hi: runs[r].hi, first: line, last: line })\n    }\n    open = next\n  }\n  for (const band of open) emit(band)\n  return out\n}\n\n/**\n * 픽셀 선분 → PDF pt LineSegment (bottom-up, classifyAndAdd 규약:\n * 수평선 y1==y2·x1<x2, 수직선 x1==x2·y1<y2).\n */\nexport function rulingToPdfLines(\n  ruling: RulingLines,\n  scale: number,\n  pdfHeight: number,\n): { horizontals: LineSegment[]; verticals: LineSegment[] } {\n  const horizontals: LineSegment[] = ruling.horizontals.map(s => {\n    const y = pdfHeight - (s.y1 + s.y2) / 2 / scale\n    return {\n      x1: Math.min(s.x1, s.x2) / scale,\n      y1: y,\n      x2: Math.max(s.x1, s.x2) / scale,\n      y2: y,\n      lineWidth: s.thicknessPx / scale,\n    }\n  })\n  const verticals: LineSegment[] = ruling.verticals.map(s => {\n    const x = (s.x1 + s.x2) / 2 / scale\n    const yA = pdfHeight - Math.max(s.y1, s.y2) / scale\n    const yB = pdfHeight - Math.min(s.y1, s.y2) / scale\n    return { x1: x, y1: yA, x2: x, y2: yB, lineWidth: s.thicknessPx / scale }\n  })\n  return { horizontals, verticals }\n}\n","/**\n * 내장 텍스트 OCR 엔진 — PP-OCRv5 korean (det DBNet + rec SVTR/CTC) ONNX 추론.\n *\n * 파이프라인: 페이지 RGBA → det(선 검출) → 라인 crop → rec(CTC 인식) → OcrItem[]\n * (좌표는 입력 픽셀 기준 top-left origin — 호출자가 PDF 좌표계로 변환).\n *\n * 전·후처리는 공식 inference.yml 스펙 그대로:\n *  - det: BGR, 긴 변 960 리사이즈(32 배수), mean/std [0.485,0.456,0.406]/[0.229,0.224,0.225],\n *         DBPostProcess thresh 0.3 / box_thresh 0.6 / unclip_ratio 1.5\n *  - rec: BGR, 높이 48 고정 비율 리사이즈 + 우측 zero-pad, (x/255-0.5)/0.5,\n *         CTC 디코드 (blank=0, 1..N=사전, N+1=공백), text_score 0.5\n * DB 후처리의 contour+minAreaRect 는 축정렬 connected-component bbox 로 근사\n * (공문서 스캔은 수평 텍스트가 지배적 — 회전 텍스트는 v1 범위 밖).\n *\n * 의존성(onnxruntime-node, sharp)은 optional — 미설치 시 create()가 명확한 에러.\n * 모델 미다운로드 시에도 즉시 실패 — 호출자가 ensureOcrModels() 먼저.\n */\n\nimport type { InferenceSession } from \"onnxruntime-node\"\nimport { readFile } from \"fs/promises\"\nimport { join } from \"path\"\nimport {\n  OCR_DET_MODEL,\n  OCR_REC_MODEL,\n  OCR_REC_DICT,\n  getOcrModelsDir,\n  parseCharacterDict,\n} from \"./models.js\"\n\n/** OCR 인식 결과 한 줄 — 좌표는 입력 이미지 픽셀 (top-left origin, y down) */\nexport interface OcrItem {\n  text: string\n  x: number\n  y: number\n  w: number\n  h: number\n  /** CTC 평균 신뢰도 0~1 */\n  confidence: number\n}\n\n/** det 입력 긴 변 (공식 resize_long) */\nconst DET_LONG_SIDE = 960\nconst DET_THRESH = 0.3\nconst DET_BOX_THRESH = 0.6\nconst DET_UNCLIP_RATIO = 1.5\nconst DET_MIN_SIZE = 3\nconst DET_MAX_BOXES = 1000\nconst REC_HEIGHT = 48\nconst REC_MIN_WIDTH = 320\nconst REC_MAX_WIDTH = 3200\nconst TEXT_SCORE = 0.5\n\n// det: BGR 채널 순서에 yml 기재 순서 그대로 적용 (mean[0]→B)\nconst DET_MEAN = [0.485, 0.456, 0.406]\nconst DET_STD = [0.229, 0.224, 0.225]\n\ntype SharpFactory = (\n  input: Uint8Array | Buffer,\n  options?: { raw?: { width: number; height: number; channels: number } },\n) => SharpChain\ninterface SharpChain {\n  extract(region: { left: number; top: number; width: number; height: number }): SharpChain\n  resize(w: number, h: number, opts?: { fit?: string }): SharpChain\n  removeAlpha(): SharpChain\n  raw(): { toBuffer(): Promise<Buffer> }\n}\n\nexport class OcrEngine {\n  private det: InferenceSession\n  private rec: InferenceSession\n  private dict: string[]\n  private ort: typeof import(\"onnxruntime-node\")\n  private sharp: SharpFactory\n\n  private constructor(parts: {\n    det: InferenceSession\n    rec: InferenceSession\n    dict: string[]\n    ort: typeof import(\"onnxruntime-node\")\n    sharp: SharpFactory\n  }) {\n    this.det = parts.det\n    this.rec = parts.rec\n    this.dict = parts.dict\n    this.ort = parts.ort\n    this.sharp = parts.sharp\n  }\n\n  static async create(): Promise<OcrEngine> {\n    const [ortMod, sharpModRaw] = await Promise.all([\n      tryImport<typeof import(\"onnxruntime-node\")>(\"onnxruntime-node\", () => import(\"onnxruntime-node\")),\n      tryImport<{ default?: SharpFactory } & SharpFactory>(\n        \"sharp\",\n        () => import(\"sharp\") as unknown as Promise<{ default?: SharpFactory } & SharpFactory>,\n      ),\n    ])\n    const sharpAny = sharpModRaw as { default?: SharpFactory } | SharpFactory\n    const sharpMod: SharpFactory =\n      typeof sharpAny === \"function\" ? sharpAny : (sharpAny.default ?? (sharpAny as unknown as SharpFactory))\n\n    const dir = getOcrModelsDir()\n    const sessionOpts: import(\"onnxruntime-node\").InferenceSession.SessionOptions = {\n      graphOptimizationLevel: \"all\",\n      executionProviders: [\"cpu\"],\n      logSeverityLevel: 3, // paddle2onnx 변환 잔여물 W 로그 폭주 억제\n    }\n    const [det, rec, dictYml] = await Promise.all([\n      ortMod.InferenceSession.create(join(dir, OCR_DET_MODEL.filename), sessionOpts),\n      ortMod.InferenceSession.create(join(dir, OCR_REC_MODEL.filename), sessionOpts),\n      readFile(join(dir, OCR_REC_DICT.filename), \"utf-8\"),\n    ])\n    const dict = parseCharacterDict(dictYml)\n    if (dict.length === 0) throw new Error(\"OCR 사전 파싱 실패 — 모델 캐시를 삭제 후 재다운로드하세요\")\n\n    return new OcrEngine({ det, rec, dict, ort: ortMod, sharp: sharpMod })\n  }\n\n  /** onnxruntime-node 1.14+ InferenceSession.release() — 구버전은 무시 */\n  async destroy(): Promise<void> {\n    for (const s of [this.det, this.rec]) {\n      const rel = (s as unknown as { release?: () => Promise<void> }).release\n      if (typeof rel === \"function\") {\n        try { await rel.call(s) } catch { /* ignore */ }\n      }\n    }\n  }\n\n  /**\n   * 페이지 RGBA 픽셀 → 텍스트 라인 인식.\n   * 반환 좌표는 입력 픽셀 기준. 라인은 위→아래, 좌→우 정렬.\n   */\n  async recognizePage(rgba: Uint8Array, width: number, height: number): Promise<OcrItem[]> {\n    if (width < DET_MIN_SIZE || height < DET_MIN_SIZE) return []\n    const boxes = await this.detect(rgba, width, height)\n    const items: OcrItem[] = []\n    for (const b of boxes) {\n      const r = await this.recognizeLine(rgba, width, height, b)\n      if (r && r.confidence >= TEXT_SCORE && r.text.trim()) items.push(r)\n    }\n    items.sort((a, b) => (a.y - b.y) || (a.x - b.x))\n    return items\n  }\n\n  // ─── det ─────────────────────────────────────────────\n\n  private async detect(\n    rgba: Uint8Array,\n    width: number,\n    height: number,\n  ): Promise<Array<{ x: number; y: number; w: number; h: number }>> {\n    const ratio = DET_LONG_SIDE / Math.max(width, height)\n    const dw = Math.max(32, Math.round((width * ratio) / 32) * 32)\n    const dh = Math.max(32, Math.round((height * ratio) / 32) * 32)\n\n    const rgb = await this.sharp(rgba, { raw: { width, height, channels: 4 } })\n      .resize(dw, dh, { fit: \"fill\" })\n      .removeAlpha()\n      .raw()\n      .toBuffer()\n\n    // HWC RGB → CHW BGR float32 정규화\n    const plane = dw * dh\n    const input = new Float32Array(3 * plane)\n    for (let i = 0; i < plane; i++) {\n      const r = rgb[i * 3] / 255\n      const g = rgb[i * 3 + 1] / 255\n      const b = rgb[i * 3 + 2] / 255\n      input[i] = (b - DET_MEAN[0]) / DET_STD[0]\n      input[plane + i] = (g - DET_MEAN[1]) / DET_STD[1]\n      input[2 * plane + i] = (r - DET_MEAN[2]) / DET_STD[2]\n    }\n\n    const tensor = new this.ort.Tensor(\"float32\", input, [1, 3, dh, dw])\n    const out = await this.det.run({ [this.det.inputNames[0]]: tensor })\n    const probMap = out[this.det.outputNames[0]].data as Float32Array\n\n    const rawBoxes = componentBoxes(probMap, dw, dh)\n    const sx = width / dw\n    const sy = height / dh\n    const boxes: Array<{ x: number; y: number; w: number; h: number }> = []\n    for (const rb of rawBoxes.slice(0, DET_MAX_BOXES)) {\n      // unclip: DB 는 학습 시 텍스트 영역을 수축시키므로 검출 박스를 되팽창\n      const bw = rb.x2 - rb.x1 + 1\n      const bh = rb.y2 - rb.y1 + 1\n      const delta = (bw * bh * DET_UNCLIP_RATIO) / (2 * (bw + bh))\n      const x1 = Math.max(0, Math.floor((rb.x1 - delta) * sx))\n      const y1 = Math.max(0, Math.floor((rb.y1 - delta) * sy))\n      const x2 = Math.min(width, Math.ceil((rb.x2 + 1 + delta) * sx))\n      const y2 = Math.min(height, Math.ceil((rb.y2 + 1 + delta) * sy))\n      if (x2 - x1 < DET_MIN_SIZE || y2 - y1 < DET_MIN_SIZE) continue\n      boxes.push({ x: x1, y: y1, w: x2 - x1, h: y2 - y1 })\n    }\n    return boxes\n  }\n\n  // ─── rec ─────────────────────────────────────────────\n\n  private async recognizeLine(\n    rgba: Uint8Array,\n    width: number,\n    height: number,\n    box: { x: number; y: number; w: number; h: number },\n  ): Promise<OcrItem | null> {\n    const rw = Math.min(REC_MAX_WIDTH, Math.max(16, Math.round((box.w * REC_HEIGHT) / box.h)))\n    const padded = Math.max(REC_MIN_WIDTH, rw)\n\n    const rgb = await this.sharp(rgba, { raw: { width, height, channels: 4 } })\n      .extract({ left: box.x, top: box.y, width: box.w, height: box.h })\n      .resize(rw, REC_HEIGHT, { fit: \"fill\" })\n      .removeAlpha()\n      .raw()\n      .toBuffer()\n\n    // HWC RGB → CHW BGR, (x/255-0.5)/0.5, 우측 zero-pad\n    const plane = padded * REC_HEIGHT\n    const input = new Float32Array(3 * plane) // pad 영역은 0 (=정규화 후 회색 아님 주의: PP 도 0 pad)\n    for (let y = 0; y < REC_HEIGHT; y++) {\n      for (let x = 0; x < rw; x++) {\n        const src = (y * rw + x) * 3\n        const dst = y * padded + x\n        input[dst] = rgb[src + 2] / 255 / 0.5 - 1 // B\n        input[plane + dst] = rgb[src + 1] / 255 / 0.5 - 1 // G\n        input[2 * plane + dst] = rgb[src] / 255 / 0.5 - 1 // R\n      }\n    }\n\n    const tensor = new this.ort.Tensor(\"float32\", input, [1, 3, REC_HEIGHT, padded])\n    const out = await this.rec.run({ [this.rec.inputNames[0]]: tensor })\n    const logits = out[this.rec.outputNames[0]]\n    const [, T, C] = logits.dims as number[]\n    const data = logits.data as Float32Array\n\n    const decoded = ctcDecode(data, T, C, this.dict)\n    if (!decoded) return null\n    return { text: decoded.text, x: box.x, y: box.y, w: box.w, h: box.h, confidence: decoded.confidence }\n  }\n}\n\n/** CTC greedy 디코드 — 연속 중복 붕괴 → blank(0) 제거 → 사전 매핑 (테스트용 export) */\nexport function ctcDecode(\n  data: Float32Array,\n  T: number,\n  C: number,\n  dict: string[],\n): { text: string; confidence: number } | null {\n  let text = \"\"\n  let confSum = 0\n  let confCount = 0\n  let prev = -1\n  for (let t = 0; t < T; t++) {\n    const off = t * C\n    let best = 0\n    let bestV = data[off]\n    for (let c = 1; c < C; c++) {\n      const v = data[off + c]\n      if (v > bestV) { bestV = v; best = c }\n    }\n    const repeat = best === prev\n    prev = best\n    if (best === 0 || repeat) continue\n    // 모델 출력이 softmax 확률이 아니면 (>1) 해당 스텝만 정규화\n    let p = bestV\n    if (p > 1.0001 || p < 0) {\n      let denom = 0\n      for (let c = 0; c < C; c++) denom += Math.exp(data[off + c] - bestV)\n      p = 1 / denom\n    }\n    confSum += p\n    confCount++\n    if (best >= 1 && best <= dict.length) text += dict[best - 1]\n    else if (best === dict.length + 1) text += \" \"\n  }\n  if (!text) return null\n  return { text, confidence: confCount > 0 ? confSum / confCount : 0 }\n}\n\n/** 이진화 확률맵의 4-연결 성분 bbox (score = 성분 평균 확률, 테스트용 export) */\nexport function componentBoxes(\n  prob: Float32Array,\n  w: number,\n  h: number,\n): Array<{ x1: number; y1: number; x2: number; y2: number }> {\n  const visited = new Uint8Array(w * h)\n  const boxes: Array<{ x1: number; y1: number; x2: number; y2: number; score: number }> = []\n  const stack: number[] = []\n\n  for (let start = 0; start < w * h; start++) {\n    if (visited[start] || prob[start] <= DET_THRESH) continue\n    let x1 = start % w, x2 = x1, y1 = (start / w) | 0, y2 = y1\n    let sum = 0\n    let count = 0\n    stack.length = 0\n    stack.push(start)\n    visited[start] = 1\n    while (stack.length) {\n      const p = stack.pop()!\n      const px = p % w\n      const py = (p / w) | 0\n      sum += prob[p]\n      count++\n      if (px < x1) x1 = px\n      if (px > x2) x2 = px\n      if (py < y1) y1 = py\n      if (py > y2) y2 = py\n      // 4-이웃\n      if (px > 0 && !visited[p - 1] && prob[p - 1] > DET_THRESH) { visited[p - 1] = 1; stack.push(p - 1) }\n      if (px < w - 1 && !visited[p + 1] && prob[p + 1] > DET_THRESH) { visited[p + 1] = 1; stack.push(p + 1) }\n      if (py > 0 && !visited[p - w] && prob[p - w] > DET_THRESH) { visited[p - w] = 1; stack.push(p - w) }\n      if (py < h - 1 && !visited[p + w] && prob[p + w] > DET_THRESH) { visited[p + w] = 1; stack.push(p + w) }\n    }\n    if (x2 - x1 + 1 < DET_MIN_SIZE && y2 - y1 + 1 < DET_MIN_SIZE) continue\n    boxes.push({ x1, y1, x2, y2, score: sum / count })\n  }\n\n  return boxes\n    .filter(b => b.score >= DET_BOX_THRESH)\n    .sort((a, b) => (a.y1 - b.y1) || (a.x1 - b.x1))\n}\n\nasync function tryImport<T>(name: string, loader: () => Promise<T>): Promise<T> {\n  try {\n    return await loader()\n  } catch (e) {\n    throw new Error(\n      `내장 OCR 을 사용하려면 optional dependency '${name}' 이 필요합니다. ` +\n        `\\`npm install ${name}\\` 후 다시 실행하세요. 원인: ${(e as Error).message}`,\n    )\n  }\n}\n\n// ─── 엔진 싱글턴 (watch/서버 장기 실행에서 세션 재사용) ───\nlet enginePromise: Promise<OcrEngine> | null = null\n\nexport function getOcrEngine(): Promise<OcrEngine> {\n  if (!enginePromise) {\n    enginePromise = OcrEngine.create().catch(err => {\n      enginePromise = null // 실패는 캐시하지 않음 — 모델 설치 후 재시도 가능\n      throw err\n    })\n  }\n  return enginePromise\n}\n","/**\n * 내장 텍스트 OCR 모델 (PP-OCRv5 korean) 스펙 + 다운로드/검증.\n *\n * 캐시 위치: `~/.cache/kordoc/models/ppocr/` — 총 ~18MB (det 4.6 + rec 12.8 + dict 0.1)\n * 다운로드 인프라는 수식 OCR 과 공용 (formula/models.ts ensureModelsIn).\n *\n * 모델 출처: PaddlePaddle 공식 HuggingFace org 의 ONNX 변환본 (Apache-2.0).\n * SHA-256 은 실제 다운로드 + HF API lfs.oid 대조로 검증됨 — 변경 금지.\n * 한국어 사전은 rec 리포의 inference.yml `PostProcess.character_dict` 에\n * 내장 (11,945자 — 완성형 한글 11,172 음절 전량 + 자모/라틴/기호).\n */\n\nimport { join } from \"path\"\nimport {\n  type ModelSpec,\n  type ModelStatus,\n  type ProgressHandler,\n  ensureModelsIn,\n  getModelStatusIn,\n  getModelsDir,\n} from \"../pdf/formula/models.js\"\n\nexport const OCR_DET_MODEL: ModelSpec = {\n  name: \"PP-OCRv5 mobile det\",\n  filename: \"det.onnx\",\n  url: \"https://huggingface.co/PaddlePaddle/PP-OCRv5_mobile_det_onnx/resolve/main/inference.onnx\",\n  sha256: \"a431985659dc921974177a95adcfbb90fd9e51989a5e04d70d0b75f597b6e61d\",\n  sizeMb: 5,\n}\n\nexport const OCR_REC_MODEL: ModelSpec = {\n  name: \"PP-OCRv5 korean rec\",\n  filename: \"rec_korean.onnx\",\n  url: \"https://huggingface.co/PaddlePaddle/korean_PP-OCRv5_mobile_rec_onnx/resolve/main/inference.onnx\",\n  sha256: \"92f0b7785e64fc9090106a241cf4c1eb97472824558272751b88a2a4476d3a08\",\n  sizeMb: 13,\n}\n\nexport const OCR_REC_DICT: ModelSpec = {\n  name: \"PP-OCRv5 korean dict\",\n  filename: \"rec_korean.yml\",\n  url: \"https://huggingface.co/PaddlePaddle/korean_PP-OCRv5_mobile_rec_onnx/resolve/main/inference.yml\",\n  sha256: \"f757fa1c40e99edcf27e9cce879b93eb2a51fa46f5ef39095689b8c37dd75998\",\n  sizeMb: 1,\n}\n\nexport const ALL_OCR_MODELS: ReadonlyArray<ModelSpec> = [OCR_DET_MODEL, OCR_REC_MODEL, OCR_REC_DICT]\n\nexport function getOcrModelsDir(): string {\n  return getModelsDir(\"ppocr\")\n}\n\n/** 모든 텍스트 OCR 모델 다운로드/검증 (있으면 skip) */\nexport async function ensureOcrModels(onProgress?: ProgressHandler): Promise<void> {\n  return ensureModelsIn(getOcrModelsDir(), ALL_OCR_MODELS, onProgress)\n}\n\n/** 텍스트 OCR 모델 상태 (다운로드 없이 확인만) */\nexport async function getOcrModelStatus(): Promise<ModelStatus[]> {\n  return getModelStatusIn(getOcrModelsDir(), ALL_OCR_MODELS)\n}\n\n/**\n * inference.yml 에서 `PostProcess.character_dict` 리스트를 추출.\n * 전체 YAML 파서 없이 해당 블록의 `- <char>` 라인만 순서대로 읽는다\n * (공식 yml 구조 고정 — 들여쓰기 2칸, 한 줄 한 글자).\n *\n * CTC 클래스 배열: index 0 = blank, 1..N = 사전 순서, N+1(마지막) = space.\n */\nexport function parseCharacterDict(yml: string): string[] {\n  const lines = yml.split(\"\\n\")\n  const chars: string[] = []\n  let inDict = false\n  let dictIndent = -1\n  for (const line of lines) {\n    if (!inDict) {\n      const m = /^(\\s*)character_dict:\\s*$/.exec(line)\n      if (m) {\n        inDict = true\n        dictIndent = m[1].length\n      }\n      continue\n    }\n    // 리스트 항목 — YAML 은 키와 같은 들여쓰기의 \"- x\" 도 허용 (공식 yml 실측: 둘 다 2칸)\n    const m = /^(\\s*)- (.*)$/.exec(line)\n    if (m && m[1].length >= dictIndent) {\n      let v = m[2]\n      // YAML 인용 문자 처리 ('#' 같은 예약 문자는 인용됨)\n      if (v.length >= 2 && ((v.startsWith(\"'\") && v.endsWith(\"'\")) || (v.startsWith('\"') && v.endsWith('\"')))) {\n        v = v.slice(1, -1).replace(/''/g, \"'\")\n      }\n      chars.push(v)\n      continue\n    }\n    // 들여쓰기가 얕아지면 블록 종료 (빈 줄은 통과)\n    if (line.trim() !== \"\") break\n  }\n  return chars\n}\n\nexport function ocrModelPath(spec: ModelSpec): string {\n  return join(getOcrModelsDir(), spec.filename)\n}\n","/**\n * PDF OCR 브릿지 — 대상 페이지를 pdfium 으로 래스터해 내장 엔진 또는\n * 사용자 OcrProvider 로 인식하고, 페이지별 IRBlock[] 을 돌려준다.\n *\n * - 내장 엔진: OcrItem 좌표를 PDF 포인트로 환산해 기존 블록 파이프라인\n *   (extractPageBlocksWithLines — xy-cut 읽기순서·클러스터 표 감지)에 태운다.\n *   스캔 문서도 표 구조 복원이 가능한 이유.\n * - 사용자 프로바이더: 페이지 PNG → 텍스트 → 페이지당 paragraph 블록 (종전 계약).\n *\n * 에러 계약 (v4.1.0 리뷰 F6/F7):\n * - 환경 오류(의존성·모델 미설치, PDF 오픈 실패)는 throw — 호출자가 NEEDS_OCR 폴백.\n * - 페이지 단위 실패는 본문 오염 대신 warnings(OCR_FAILED) 로 기록하고 계속.\n */\n\nimport type { IRBlock, OcrProvider, ParseWarning } from \"../types.js\"\nimport type { NormItem } from \"../pdf/text-line.js\"\nimport type { LineSegment } from \"../pdf/line-types.js\"\nimport { extractPageBlocksWithLines } from \"../pdf/page-blocks.js\"\nimport { detectRulingLines, rulingToPdfLines } from \"./ruling-lines.js\"\nimport { getOcrEngine, type OcrItem } from \"./engine.js\"\nimport { ensureOcrModels } from \"./models.js\"\n\n/** OCR 렌더 스케일 (72dpi × 3 = 216dpi) — 10pt 본문이 rec 입력 높이(48px)에 근접 */\nconst OCR_RENDER_SCALE = 3\n/** 페이지 하나당 OCR 타임아웃 — det+rec 수십 라인 기준 넉넉히 */\nconst PAGE_TIMEOUT_MS = 120_000\n\nexport type OcrMode = \"builtin\" | OcrProvider\n\n/**\n * 대상 페이지들을 OCR 해 페이지별 블록 맵 반환.\n * @param buffer 원본 PDF (pdfjs 가 detach 하기 전에 clone 해 둔 것)\n * @param targets 1-based 페이지 번호 집합\n */\nexport async function runPdfOcr(\n  buffer: ArrayBuffer,\n  targets: Set<number>,\n  mode: OcrMode,\n  warnings: ParseWarning[],\n  onProgress?: (current: number, total: number) => void,\n): Promise<Map<number, IRBlock[]>> {\n  const result = new Map<number, IRBlock[]>()\n  if (targets.size === 0) return result\n\n  // 환경 준비 — 실패는 그대로 throw (호출자가 NEEDS_OCR 폴백)\n  const pdfiumMod = await tryImport<typeof import(\"@hyzyla/pdfium\")>(\n    \"@hyzyla/pdfium\",\n    () => import(\"@hyzyla/pdfium\"),\n  )\n  if (mode === \"builtin\") {\n    await ensureOcrModels(p => {\n      if (p.phase === \"download\" && p.downloaded === 0) {\n        process.stderr.write(`[kordoc-ocr] ${p.spec.name} 다운로드 중 (~${p.spec.sizeMb}MB)...\\n`)\n      }\n    })\n  }\n  const engine = mode === \"builtin\" ? await getOcrEngine() : null\n\n  const pdfium = await pdfiumMod.PDFiumLibrary.init()\n  const doc = await pdfium.loadDocument(new Uint8Array(buffer))\n  try {\n    let done = 0\n    for (const page of doc.pages()) {\n      // pdfium page.number 는 0-based pageIndex — 대외 계약(1-based)으로 환산\n      const pageNo = page.number + 1\n      if (!targets.has(pageNo)) continue\n      onProgress?.(++done, targets.size)\n      try {\n        const blocks = await withTimeout(\n          ocrOnePage(page, pageNo, mode, engine, warnings),\n          PAGE_TIMEOUT_MS,\n          `OCR 페이지 ${pageNo} 타임아웃 (${PAGE_TIMEOUT_MS / 1000}초)`,\n        )\n        result.set(pageNo, blocks)\n      } catch (e) {\n        warnings.push({\n          page: pageNo,\n          message: `페이지 ${pageNo} OCR 실패: ${e instanceof Error ? e.message : String(e)}`,\n          code: \"OCR_FAILED\",\n        })\n      }\n    }\n  } finally {\n    doc.destroy()\n    pdfium.destroy()\n  }\n  return result\n}\n\nasync function ocrOnePage(\n  page: import(\"@hyzyla/pdfium\").PDFiumPage,\n  pageNo: number,\n  mode: OcrMode,\n  engine: Awaited<ReturnType<typeof getOcrEngine>> | null,\n  warnings: ParseWarning[],\n): Promise<IRBlock[]> {\n  const { originalWidth: pdfW, originalHeight: pdfH } = page.getOriginalSize()\n  const rendered = await page.render({\n    scale: OCR_RENDER_SCALE,\n    render: async ({ data }) => data,\n  })\n  const { data: bgra, width: rw, height: rh } = rendered\n  const rgba = bgraToRgba(bgra)\n\n  if (mode === \"builtin\") {\n    const items = await engine!.recognizePage(rgba, rw, rh)\n    // 래스터에서 표 괘선 감지 — 스캔본 병합셀 서식도 선 기반 표 파이프라인을 탄다\n    const scale = rh / pdfH\n    const ruling = detectRulingLines(rgba, rw, rh, scale)\n    const extraLines = rulingToPdfLines(ruling, scale, pdfH)\n    return ocrItemsToBlocks(items, pageNo, pdfW, pdfH, scale, extraLines)\n  }\n\n  // 사용자 프로바이더 — PNG 인코딩 후 호출, 페이지당 paragraph (종전 계약)\n  type SharpPngFactory = (\n    input: Uint8Array,\n    opts: { raw: { width: number; height: number; channels: number } },\n  ) => { png(): { toBuffer(): Promise<Buffer> } }\n  const sharpModRaw = await tryImport<{ default?: SharpPngFactory } & SharpPngFactory>(\n    \"sharp\",\n    () => import(\"sharp\") as unknown as Promise<{ default?: SharpPngFactory } & SharpPngFactory>,\n  )\n  const sharpAny = sharpModRaw as { default?: SharpPngFactory } | SharpPngFactory\n  const sharp: SharpPngFactory =\n    typeof sharpAny === \"function\" ? sharpAny : (sharpAny.default ?? (sharpAny as unknown as SharpPngFactory))\n  const png = await sharp(rgba, { raw: { width: rw, height: rh, channels: 4 } })\n    .png()\n    .toBuffer()\n\n  const text = await mode(new Uint8Array(png), pageNo, \"image/png\")\n  if (!text.trim()) {\n    warnings.push({ page: pageNo, message: `페이지 ${pageNo} OCR 결과 없음`, code: \"OCR_FAILED\" })\n    return []\n  }\n  return [{ type: \"paragraph\", text: text.trim(), pageNumber: pageNo }]\n}\n\n/**\n * OcrItem(렌더 픽셀, top-left origin) → NormItem(PDF pt, bottom-up baseline)\n * 으로 환산해 기존 블록 파이프라인에 태운다. 괘선은 그래픽 ops 대신\n * 래스터 감지 결과(extraLines)로 공급 — 없으면 클러스터 감지기 몫이다.\n * (이미지 직접 입력 경로 image-ocr.ts 와 공유)\n */\nexport function ocrItemsToBlocks(\n  items: OcrItem[],\n  pageNumber: number,\n  pdfW: number,\n  pdfH: number,\n  scale: number,\n  extraLines?: { horizontals: LineSegment[]; verticals: LineSegment[] },\n): IRBlock[] {\n  const norm: NormItem[] = items.map(it => {\n    const h = it.h / scale\n    return {\n      text: it.text,\n      x: Math.round(it.x / scale),\n      // NormItem.y 는 pdfjs transform[5] = 베이스라인 (bottom-up) — 박스 하단으로 근사\n      y: Math.round(pdfH - (it.y + it.h) / scale),\n      w: Math.round(it.w / scale),\n      h: Math.round(h),\n      fontSize: Math.max(1, Math.round(h * 0.8)), // 박스높이는 어센더+디센더 포함 — 글자크기 근사\n      fontName: \"ocr\",\n      isHidden: false,\n    }\n  })\n  return extractPageBlocksWithLines(norm, pageNumber, { fnArray: [], argsArray: [] }, pdfW, pdfH, extraLines)\n}\n\nasync function tryImport<T>(name: string, loader: () => Promise<T>): Promise<T> {\n  try {\n    return await loader()\n  } catch (e) {\n    throw new Error(\n      `OCR 을 사용하려면 optional dependency '${name}' 이 필요합니다. ` +\n        `\\`npm install ${name}\\` 후 다시 실행하세요. 원인: ${(e as Error).message}`,\n    )\n  }\n}\n\nasync function withTimeout<T>(promise: Promise<T>, ms: number, msg: string): Promise<T> {\n  // 타임아웃 패배 후 원 promise 의 사후 reject 가 unhandled rejection 이 되지 않게 흡수\n  promise.catch(() => {})\n  let timer: NodeJS.Timeout | undefined\n  try {\n    return await Promise.race([\n      promise,\n      new Promise<never>((_, reject) => {\n        timer = setTimeout(() => reject(new Error(msg)), ms)\n      }),\n    ])\n  } finally {\n    if (timer) clearTimeout(timer)\n  }\n}\n\n/** pdfium BGRA → RGBA */\nfunction bgraToRgba(bgra: Uint8Array): Uint8Array {\n  const out = new Uint8Array(bgra.length)\n  for (let i = 0; i < bgra.length; i += 4) {\n    out[i] = bgra[i + 2]\n    out[i + 1] = bgra[i + 1]\n    out[i + 2] = bgra[i]\n    out[i + 3] = bgra[i + 3]\n  }\n  return out\n}\n"]}