# Production Dockerfile for MotoVaultPro OCR Service
# Uses mirrored base images from Gitea Package Registry
#
# Primary engine: PaddleOCR PP-OCRv4 (models baked into image)
# Cloud fallback: Google Vision (optional, requires API key at runtime)

# Build argument for registry (defaults to Gitea mirrors, falls back to Docker Hub)
ARG REGISTRY_MIRRORS=git.motovaultpro.com/egullickson/mirrors

FROM ${REGISTRY_MIRRORS}/python:3.12-slim

# System dependencies
# - libgomp1: OpenMP runtime required by PaddlePaddle
# - libheif1/libheif-dev: HEIF image support (iPhone photos)
# - libglib2.0-0: GLib shared library (OpenCV dependency)
# - libmagic1: File type detection
# - curl: Health check endpoint
RUN apt-get update && apt-get install -y --no-install-recommends \
    libgomp1 \
    libheif1 \
    libheif-dev \
    libglib2.0-0 \
    libmagic1 \
    curl \
    && rm -rf /var/lib/apt/lists/*

# Python dependencies
WORKDIR /app
COPY requirements.txt .
# Install dependencies. PaddleX (transitive via paddleocr) pulls in the full
# opencv-python which requires libGL.so.1.  Force-reinstall the headless
# variant afterwards so the container stays GUI-free.
RUN pip install --no-cache-dir -r requirements.txt \
    && pip install --no-cache-dir --force-reinstall opencv-python-headless

# Pre-download PaddleOCR PP-OCRv4 models during build (not at runtime).
# Models are baked into the image so container starts are fast and
# no network access is needed at runtime for model download.
ENV PADDLE_PDX_DISABLE_MODEL_SOURCE_CHECK=True
RUN python -c "from paddleocr import PaddleOCR; PaddleOCR(ocr_version='PP-OCRv4', use_textline_orientation=True, lang='en', device='cpu', enable_mkldnn=False)" \
    && echo "PaddleOCR PP-OCRv4 models downloaded and verified"

COPY . .

EXPOSE 8000
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]