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-# ─────────────────────────────────────────────────────────────────────────────
-# MinerU OCR Service — Hugging Face Docker Space (CPU / pipeline backend)
-#
-# Optimized for FREE tier: 2 vCPU · 16 GB RAM · 50 GB Disk · No GPU
-#
-# ── OCR ROUTING ARCHITECTURE ──────────────────────────────────────────────────
-#
-# FAST PATH  (images: jpg/png/webp/bmp/heic/etc)
-#   rapidocr-onnxruntime ≥ 1.3.22
-#     - Pure ONNX inference — no PaddleOCR / paddlepaddle needed
-#     - Models bundled in the pip wheel (~50 MB); no first-use download
-#     - Target latency: 1–5 s on CPU
-#   Multi-pass: if RapidOCR confidence < 0.65 → MinerU fallback automatically
-#
-# HEAVY PATH (PDFs, multi-page, forms with layout)
-#   MinerU (magic-pdf pipeline backend)
-#     - Layout detection (doclayout_yolo)
-#     - OCR (paddleocr2pytorch — PyTorch reimplementation bundled in wheel)
-#     - Markdown reconstruction
-#     - Target latency: 5–30 s on CPU
-#
-# ── ROOT CAUSE HISTORY ────────────────────────────────────────────────────────
-#
-# FAILURE 1: [full-cpu] is NOT a valid extra → pip silently installs base only
-#   Fix: magic-pdf[full]==1.3.12
-#
-# FAILURE 2: opencv non-headless conflict
-#   Fix: Layer 4 force-reinstall of opencv-python-headless
-#
-# FAILURE 3: ch_PP-OCRv3_det_infer.pth not in HF repo (repo updated to v5)
-#   Fix: Layer 3.5 patches models_config.yml inside installed wheel:
-#        ch_PP-OCRv3_det → ch_PP-OCRv5_det   (all ch* langs)
-#        en_PP-OCRv3_det → Multilingual_PP-OCRv3_det  (en, latin)
-#   Arch safety: both replacement stems verified in arch_config.yaml
-#
-# ── System packages ────────────────────────────────────────────────────────────
-#   libgl1       — OpenCV needs libGL.so.1 for ALL image operations (not just GUI)
-#   libglib2.0-0 — GLib; required by OpenCV and many C extensions
-#   libgomp1     — OpenMP; required by ONNX Runtime and YOLO inference
-#   poppler-utils — pdfinfo/pdftoppm; used by MinerU PDF pre-processing
-# ─────────────────────────────────────────────────────────────────────────────
-
-FROM python:3.10-slim
-
-ENV PYTHONUNBUFFERED=1
-ENV PYTHONDONTWRITEBYTECODE=1
-ENV PORT=7860
-ENV MINERU_DEVICE_MODE=cpu
-ENV MINERU_BACKEND=pipeline
-
-# ── System dependencies ────────────────────────────────────────────────────────
-RUN apt-get update \
-    && apt-get install -y --no-install-recommends \
-        libgl1 \
-        libglib2.0-0 \
-        libgomp1 \
-        poppler-utils \
-    && rm -rf /var/lib/apt/lists/*
-
-WORKDIR /app
-
-# ── Layer 1: FastAPI + lightweight runtime deps ───────────────────────────────
-# rapidocr-onnxruntime: ONNX-based fast OCR engine; models bundled in wheel.
-#   - requires onnxruntime (will be auto-resolved or overridden by magic-pdf deps)
-#   - requires numpy, pyclipper, shapely — all covered by magic-pdf[full]
-#   - ~50 MB wheel; zero first-use model download needed
-# opencv-python-headless: placeholder; will be force-reinstalled in Layer 4
-RUN pip install --no-cache-dir --timeout 300 \
-        "fastapi>=0.115.0" \
-        "uvicorn[standard]>=0.32.0" \
-        "python-multipart>=0.0.12" \
-        "Pillow>=10.0.0" \
-        "pillow-heif>=0.18.0" \
-        "huggingface_hub>=0.25.0" \
-        "opencv-python-headless>=4.8.0" \
-        "rapidocr-onnxruntime>=1.3.22" \
-        "python-docx>=1.1.0" \
-        "python-pptx>=0.6.23" \
-        "openpyxl>=3.1.0"
-
-# ── Layer 2: CPU-only PyTorch — MUST precede magic-pdf ───────────────────────
-# PyPI serves the CUDA-enabled torch wheel by default (~2.5 GB).
-# Installing from the official CPU wheel index first causes pip to treat the
-# already-installed CPU build as satisfying magic-pdf's torch requirement.
-RUN pip install --no-cache-dir --timeout 600 \
-        --index-url https://download.pytorch.org/whl/cpu \
-        "torch>=2.2.2,!=2.5.0,!=2.5.1,<3" \
-        "torchvision>=0.15.2"
-
-# ── Layer 3: magic-pdf with the CORRECT extras ────────────────────────────────
-# [full] provides ultralytics, doclayout-yolo==0.0.2b1, rapid-table, shapely,
-# pyclipper, omegaconf, matplotlib, ftfy, dill, PyYAML, openai, albumentations.
-# doclayout-yolo==0.0.2b1 is ONLY on the myhloli index — not on PyPI.
-# onnxruntime resolved automatically as transitive dep of rapid-table.
-RUN pip install --no-cache-dir --timeout 600 \
-        --extra-index-url https://myhloli.github.io/wheels/ \
-        "magic-pdf[full]==1.3.12"
-
-# ── Layer 3.5: Patch OCR model config ────────────────────────────────────────
-# HF repo opendatalab/PDF-Extract-Kit-1.0 was updated to v5 det models.
-# magic-pdf 1.3.12 models_config.yml still references v3 det files (absent).
-# This patch runs at build time so download_models.py fetches correct files.
-RUN python3 - <<'PYEOF'
-import sys, yaml
-from pathlib import Path
-import magic_pdf
-
-pkg = Path(magic_pdf.__file__).parent
-cfg_path  = pkg / 'model/sub_modules/ocr/paddleocr2pytorch/pytorchocr/utils/resources/models_config.yml'
-arch_path = pkg / 'model/sub_modules/ocr/paddleocr2pytorch/pytorchocr/utils/resources/arch_config.yaml'
-
-print(f"Patching: {cfg_path}")
-
-with open(cfg_path) as f:
-    config = yaml.safe_load(f)
-with open(arch_path) as f:
-    arch_text = f.read()
-
-DET_MAP = {
-    'ch_PP-OCRv3_det_infer.pth':  'ch_PP-OCRv5_det_infer.pth',
-    'en_PP-OCRv3_det_infer.pth':  'Multilingual_PP-OCRv3_det_infer.pth',
-}
-
-patched = 0
-for lang, files in config['lang'].items():
-    old = files.get('det', '')
-    if old in DET_MAP:
-        new = DET_MAP[old]
-        arch_key = new[:-4]
-        if (arch_key + ':') not in arch_text:
-            print(f"ERROR: arch key '{arch_key}' not found in arch_config.yaml", file=sys.stderr)
-            sys.exit(1)
-        files['det'] = new
-        print(f"  [{lang}] det: {old}  ->  {new}")
-        patched += 1
-
-with open(cfg_path, 'w') as f:
-    yaml.dump(config, f, default_flow_style=False, allow_unicode=True)
-
-print(f"Patched {patched} language entries. models_config.yml updated.")
-PYEOF
-
-# ── Layer 4: Restore headless OpenCV ─────────────────────────────────────────
-# Layer 3 pulled opencv-python (non-headless) via doclayout-yolo/ultralytics/
-# rapid-table. Force-reinstall headless build so cv2 works on this slim image.
-RUN pip install --no-cache-dir --timeout 300 \
-        --force-reinstall \
-        "opencv-python-headless>=4.8.0"
-
-# ── Application code ──────────────────────────────────────────────────────────
-COPY download_models.py .
-COPY validate.py .
-COPY main.py .
-COPY entrypoint.sh .
-RUN chmod +x entrypoint.sh
-
-# ── Download models at build time ─────────────────────────────────────────────
-# MFR (formula recognition, ~1-2 GB) excluded — disabled in config.
-# rapidocr-onnxruntime models are BUNDLED in the pip wheel; no download needed.
-RUN python download_models.py
-
-RUN mkdir -p /app/config && cp /root/magic-pdf.json /app/config/magic-pdf.json
-
-# ── Runtime ───────────────────────────────────────────────────────────────────
-EXPOSE 7860
-ENTRYPOINT ["/app/entrypoint.sh"]