# ── Base images ───────────────────────────────────────────────────────────────
#   amd64 + gpu:  NVIDIA CUDA 13.3 + cuDNN (GPU acceleration when available)
#   amd64 + cpu:  Ubuntu 22.04 (CPU-only, ~2 GB smaller image)
#   arm64:        Ubuntu 24.04 (CPU-only; no CUDA wheels on ARM)

ARG VARIANT=gpu

FROM --platform=$BUILDPLATFORM nvidia/cuda:13.3.0-cudnn-runtime-ubuntu22.04 AS base-amd64-gpu
FROM ubuntu:22.04 AS base-amd64-cpu
FROM ubuntu:24.04 AS base-arm64-gpu
FROM ubuntu:24.04 AS base-arm64-cpu

# ── Build stage ───────────────────────────────────────────────────────────────
ARG TARGETARCH

FROM base-${TARGETARCH}-${VARIANT} AS build

ARG VARIANT=gpu
ENV DEBIAN_FRONTEND=noninteractive

# Both Ubuntu 22.04 and 24.04 get Python 3.13 from the deadsnakes PPA.
# GNUPGHOME is isolated so gpg never contacts an agent socket 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

# For cpu variant, swap in the CPU-only pyproject and lockfile before syncing.
COPY pyproject.toml uv.lock pyproject-cpu.toml uv-cpu.lock ./
RUN if [ "$VARIANT" = "cpu" ]; then \
        cp pyproject-cpu.toml pyproject.toml && \
        cp uv-cpu.lock uv.lock; \
    fi && \
    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-${TARGETARCH}-${VARIANT} AS runtime

ARG VARIANT=gpu
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

# Register every nvidia pip-package lib/ directory with ldconfig so that
# onnxruntime-gpu and torch can find libcudnn, libcublas, libcufft, etc.
# without a hand-maintained LD_LIBRARY_PATH. Skipped silently on cpu builds.
RUN find /app/.venv/lib/python3.*/site-packages/nvidia -type d -name "lib" \
        2>/dev/null > /etc/ld.so.conf.d/nvidia-pip.conf && ldconfig || true

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
# PYTHONPATH=/app makes the winnow package importable from the entry point script.
# uv sync builds the wheel before winnow/ is COPY'd, so site-packages has only
# the dist-info. Explicitly adding /app lets Python find winnow/__init__.py there.
ENV HF_HOME=/models/huggingface INSIGHTFACE_HOME=/models/.insightface PYTHONPATH=/app

HEALTHCHECK CMD test -f /app/entrypoint.sh || exit 1
ENTRYPOINT ["tini", "--", "/app/entrypoint.sh"]