Dockerfile

# ================================================================
# PVD System — HuggingFace Spaces Dockerfile
# CPU only — HuggingFace free tier
# ================================================================
FROM python:3.10-slim

# ── Environment ───────────────────────────────────────────────
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1
ENV PYTHONPATH=/app:/app/src:/app/backend

WORKDIR /app

# ── Step 1: System dependencies ───────────────────────────────
RUN apt-get update && apt-get install -y \
    git \
    wget \
    curl \
    ffmpeg \
    libsm6 \
    libxext6 \
    libgl1 \
    libglib2.0-0 \
    libxrender-dev \
    libgomp1 \
    build-essential \
    gcc \
    g++ \
    && rm -rf /var/lib/apt/lists/*

# ── Step 2: Fix pip + setuptools (pkg_resources fix) ──────────
RUN pip install --upgrade pip
RUN pip install "setuptools==69.5.1" wheel --force-reinstall

# ── Step 3: NumPy FIRST before everything ─────────────────────
RUN pip install "numpy<2.0.0"

# ── Step 4: PyTorch CPU ───────────────────────────────────────
RUN pip install \
    torch==2.2.2+cpu \
    torchvision==0.17.2+cpu \
    --index-url https://download.pytorch.org/whl/cpu

# ── Step 5: Force numpy back after torch ──────────────────────
# torch sometimes pulls numpy 2.x — force it back to 1.x
RUN pip install "numpy<2.0.0" --force-reinstall

# ── Step 6: Verify numpy is correct ───────────────────────────
RUN python -c "import numpy; print('numpy version:', numpy.__version__); assert numpy.__version__ < '2', 'NumPy 2.x detected!'"

# ── Step 7: OpenMIM ───────────────────────────────────────────
RUN pip install openmim==0.3.9

# ── Step 8: mmengine first ────────────────────────────────────
RUN mim install mmengine==0.10.4

# ── Step 9: Full mmcv with C++ extensions ─────────────────────
# Use pip with find-links to get pre-built wheel (no source build)
# This avoids pkg_resources error from building from source
RUN pip install mmcv==2.1.0 \
    -f https://download.openmmlab.com/mmcv/dist/cpu/torch2.2/index.html \
    --no-build-isolation

# ── Step 10: Verify mmcv._ext is available ────────────────────
RUN python -c "from mmcv.ops import roi_align; print('mmcv._ext loaded successfully ✅')"

# ── Step 11: mmdet ────────────────────────────────────────────
RUN mim install mmdet==3.3.0

# ── Step 12: chumpy fix then mmpose ───────────────────────────
RUN pip install chumpy --no-build-isolation
RUN mim install mmpose==1.3.1

# ── Step 13: OpenCV headless ──────────────────────────────────
RUN pip install opencv-python-headless==4.8.1.78



# ── Step 15: Install remaining pip packages ───────────────────
COPY requirements.txt .
RUN grep -viE \
    "torch|torchvision|mmcv|mmpose|mmdet|mmengine|opencv|insightface|facenet|numpy|gdown" \
    requirements.txt > requirements_clean.txt && \
    pip install -r requirements_clean.txt

# ── Step 16: gdown for Google Drive ───────────────────────────
RUN pip install gdown

# ── Step 17: Copy all project files ──────────────────────────
COPY artifacts/  ./artifacts/
COPY backend/    ./backend/
COPY configs/    ./configs/
COPY scripts/    ./scripts/
COPY src/        ./src/

# ── Step 18: Download large model from Google Drive ───────────
RUN gdown "https://drive.google.com/uc?id=1P9KxRKiJ-_bX5b_IGsYOmwEPXIgyPUbV" \
    -O ./artifacts/posture_classifier/weights/best_posture_model.pth && \
    echo "best_posture_model.pth downloaded successfully ✅"

# ── Step 19: Verify all model files exist ────────────────────
RUN python -c "\
import os; \
models = [ \
    'artifacts/mmpose/checkpoints/rtmdet_nano_8xb32-100e_coco-obj365-person-05d8511e.pth', \
    'artifacts/mmpose/checkpoints/rtmpose-tiny_simcc-aic-coco_pt-aic-coco_420e-256x192-cfc8f33d_20230126.pth', \
    'artifacts/phone_detector/pretrained/yolo11n.pt', \
    'artifacts/phone_detector/weights/best.pt', \
    'artifacts/posture_classifier/weights/best_posture_model.pth', \
]; \
[print(f'✅ {m}') if os.path.exists(m) else print(f'❌ MISSING: {m}') for m in models]"

WORKDIR /app/backend

EXPOSE 7860

HEALTHCHECK --interval=30s --timeout=15s --start-period=120s --retries=3 \
    CMD curl -f http://localhost:7860/health || exit 1

CMD ["python", "-m", "uvicorn", "app.main:app", \
     "--host", "0.0.0.0", \
     "--port", "7860", \
     "--workers", "1"]