Files
winnow/Dockerfile
T
flanandClaude Sonnet 4.6 196b0a5147 fix: INSIGHTFACE_HOME path, entrypoint, caching default, CRON_SCHEDULE opt-in
- Dockerfile: ENV INSIGHTFACE_HOME=/models → /models/.insightface to
  match compose.yml and .env.example; the old value caused InsightFace
  to store models at /models/models/buffalo_l (double-appended subdir)
- entrypoint.sh: use /app/.venv/bin/winnow (installed entry point)
  instead of python -m winnow.cli
- config.py: ENABLE_CACHE default false → true; embedding cache is
  always beneficial in practice; users can opt out with ENABLE_CACHE=false
- compose.yml: comment out CRON_SCHEDULE so scheduling is opt-in;
  flip ENABLE_CACHE to commented opt-out to reflect new default
- README.md: update ENABLE_CACHE default documentation to true
- tests/test_config.py: update default assertion to match

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-12 05:36:47 +00:00

78 lines
3.3 KiB
Docker

# ── Platform-conditional base ─────────────────────────────────────────────
# amd64: NVIDIA CUDA 13.3 (GPU acceleration when available, CPU fallback)
# arm64: Ubuntu 24.04 (CPU-only; no CUDA on ARM)
FROM --platform=$BUILDPLATFORM nvidia/cuda:13.3.0-cudnn-runtime-ubuntu22.04 AS base-amd64
FROM ubuntu:24.04 AS base-arm64
# ── Build stage ───────────────────────────────────────────────────────────
ARG TARGETARCH
FROM base-${TARGETARCH} AS build
ENV DEBIAN_FRONTEND=noninteractive
# Both bases (Ubuntu 22.04 CUDA / Ubuntu 24.04) need Python 3.13 from the
# deadsnakes PPA. GNUPGHOME is isolated to a tmpdir so gpg never tries to
# contact an agent socket, which fails silently under QEMU.
RUN apt-get update && apt-get install -y --no-install-recommends \
ca-certificates curl gnupg software-properties-common \
&& GNUPGHOME=$(mktemp -d) add-apt-repository ppa:deadsnakes/ppa -y \
&& apt-get update \
&& apt-get install -y --no-install-recommends \
python3.13 python3.13-venv python3.13-dev \
libgl1 libglib2.0-0 libxext6 g++ \
&& rm -rf /var/lib/apt/lists/* \
&& ln -sf /usr/bin/python3.13 /usr/bin/python3
RUN curl -LsSf https://astral.sh/uv/install.sh | sh \
&& cp /root/.local/bin/uv /usr/local/bin/uv
WORKDIR /app
COPY pyproject.toml uv.lock ./
RUN uv sync --frozen --no-dev \
&& uv cache clean
COPY winnow/ winnow/
COPY entrypoint.sh scheduler.py ./
RUN chmod +x /app/entrypoint.sh
# ── Runtime stage ─────────────────────────────────────────────────────────
# Starts fresh from the base image — excludes build tools (g++,
# python3.13-dev, gnupg, software-properties-common) not needed at runtime.
FROM base-${TARGETARCH} AS runtime
ENV DEBIAN_FRONTEND=noninteractive
RUN apt-get update && apt-get install -y --no-install-recommends \
ca-certificates curl gnupg software-properties-common tini \
&& GNUPGHOME=$(mktemp -d) add-apt-repository ppa:deadsnakes/ppa -y \
&& apt-get update \
&& apt-get install -y --no-install-recommends \
python3.13 python3.13-venv \
libgl1 libglib2.0-0 libxext6 \
&& apt-get purge -y --auto-remove curl gnupg software-properties-common \
&& rm -rf /var/lib/apt/lists/* \
&& ln -sf /usr/bin/python3.13 /usr/bin/python3
# Copy app (with .venv) and uv from build stage
COPY --from=build /app /app
COPY --from=build /usr/local/bin/uv /usr/local/bin/uv
# Expose CUDA/cuDNN libraries from pip packages so onnxruntime-gpu
# can find libcublasLt.so.12 and libcudnn.so.9 at runtime (amd64 only)
ENV LD_LIBRARY_PATH="/app/.venv/lib/python3.13/site-packages/nvidia/cudnn/lib:/app/.venv/lib/python3.13/site-packages/nvidia/cuda_runtime/lib:${LD_LIBRARY_PATH}"
RUN groupadd -g 568 apps && useradd -u 568 -g apps -m -s /bin/bash appuser \
&& mkdir -p /models/.insightface /models/huggingface \
&& chown -R appuser:apps /app /models
WORKDIR /app
USER appuser
ENV HF_HOME=/models/huggingface INSIGHTFACE_HOME=/models/.insightface
HEALTHCHECK CMD test -f /app/entrypoint.sh || exit 1
ENTRYPOINT ["tini", "--", "/app/entrypoint.sh"]