# syntax=docker/dockerfile:1
# Celery worker image. Same build as the API; different entrypoint and queue set.
# 架构文档 §14.1 runs worker-cpu / worker-io on CVM-app and worker-gpu on CVM-gpu,
# so the queue list is injected rather than baked in.

FROM python:3.12-slim AS builder

COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/

ENV UV_COMPILE_BYTECODE=1 \
    UV_LINK_MODE=copy \
    UV_PYTHON_DOWNLOADS=never

WORKDIR /app

COPY pyproject.toml uv.lock* README.md ./
RUN --mount=type=cache,target=/root/.cache/uv \
    uv sync --frozen --no-install-project --no-dev || uv sync --no-install-project --no-dev

COPY apps ./apps
COPY packages ./packages
COPY services ./services
COPY prompts ./prompts
COPY migrations ./migrations
COPY alembic.ini ./

RUN --mount=type=cache,target=/root/.cache/uv \
    uv sync --no-dev --frozen || uv sync --no-dev


FROM python:3.12-slim AS runtime

ENV PYTHONUNBUFFERED=1 \
    PYTHONDONTWRITEBYTECODE=1 \
    PATH="/app/.venv/bin:$PATH" \
    TZ=Asia/Shanghai \
    CELERY_QUEUES=cpu,io \
    CELERY_CONCURRENCY=4

RUN groupadd --system meida && useradd --system --gid meida --home /app meida

WORKDIR /app
COPY --from=builder --chown=meida:meida /app /app

USER meida

HEALTHCHECK --interval=30s --timeout=10s --start-period=30s --retries=3 \
    CMD celery -A apps.worker.celery_app.celery_app inspect ping -d "celery@$(hostname)" || exit 1

CMD ["sh", "-c", "celery -A apps.worker.celery_app.celery_app worker -Q ${CELERY_QUEUES} -c ${CELERY_CONCURRENCY} -l info"]