# Reference only — dependencies are installed directly in the Dockerfile
# to allow layered pip caching. See Dockerfile for the authoritative install order.
#
# ── Layer 1 — FastAPI + lightweight runtime deps ──────────────────────────────
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   # placeholder; force-reinstalled in Layer 4
#
# ── Layer 2 — CPU-only PyTorch ────────────────────────────────────────────────
# pip install --index-url https://download.pytorch.org/whl/cpu torch torchvision
# MUST come before magic-pdf. PyPI serves the CUDA wheel by default (~2.5 GB).
# Pre-installing the CPU build causes pip to skip the CUDA wheel when resolving
# magic-pdf's `torch` requirement.
torch>=2.2.2,!=2.5.0,!=2.5.1,<3
torchvision>=0.15.2
#
# ── Layer 3 — magic-pdf with CORRECT extras ───────────────────────────────────
# pip install --extra-index-url https://myhloli.github.io/wheels/ magic-pdf[full]==1.3.12
#
# FORENSIC SUMMARY:
#
# [full-cpu] is NOT a valid extra in magic-pdf 1.3.12.
# Valid extras: [full], [full_old_linux], [lite]
# Using an invalid extra causes pip to install base-only — omitting
# ultralytics, doclayout-yolo, rapid-table, and OCR support entirely.
#
# [full] provides:
#   ultralytics >=8.3.48     YOLO framework, required by doclayout-yolo
#   doclayout-yolo ==0.0.2b1 layout detection (myhloli index only)
#   rapid-table >=1.0.5      table detection (onnxruntime pulled as transitive dep)
#   shapely, pyclipper       used by paddleocr2pytorch (baked into magic-pdf wheel)
#   omegaconf, matplotlib, ftfy, dill, PyYAML, openai, albumentations
#
# [lite] is NOT used because:
#   - paddlepaddle==3.0.0b1 pinned by [lite] does not exist on PyPI (removed beta)
#   - paddleocr==2.7.3 requires opencv-python <=4.6.0.66, incompatible with
#     ultralytics (>=4.6.0) and doclayout-yolo (>=4.6.0)
#   - paddlepaddle/paddleocr are NOT needed: pipeline backend uses paddleocr2pytorch,
#     a self-contained PyTorch reimplementation bundled inside the magic-pdf wheel
#
# --extra-index-url https://myhloli.github.io/wheels/ is required because
# doclayout-yolo==0.0.2b1 is only on the myhloli wheel server, not on PyPI.
magic-pdf[full]==1.3.12
#
# ── Layer 4 — Restore headless OpenCV (MUST be last) ─────────────────────────
# pip install --force-reinstall opencv-python-headless>=4.8.0
# Layer 3 installs opencv-python (non-headless) via doclayout-yolo + ultralytics
# + rapid-table transitive deps. Force-reinstalling headless overwrites cv2 with
# the build that works on this container without X11 libs.
opencv-python-headless>=4.8.0  # force-reinstalled in Layer 4