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immich/machine-learning/Dockerfile

33 lines
1.1 KiB
Docker

FROM python:3.11.4-bullseye@sha256:5b401676aff858495a5c9c726c60b8b73fe52833e9e16eccdb59e93d52741727 as builder
ENV PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1 \
PIP_NO_CACHE_DIR=true
RUN pip install --upgrade pip && pip install poetry
RUN poetry config installer.max-workers 10 && \
poetry config virtualenvs.create false
RUN python -m venv /opt/venv
ENV VIRTUAL_ENV="/opt/venv" PATH="/opt/venv/bin:${PATH}"
COPY poetry.lock pyproject.toml requirements.txt ./
RUN poetry install --sync --no-interaction --no-ansi --no-root --only main
RUN pip install --no-deps -r requirements.txt
FROM python:3.11.4-slim-bullseye@sha256:91d194f58f50594cda71dcd2e8fdefd90e7ecc57d07823813b67c8521e565dcd
RUN apt-get update && apt-get install -y --no-install-recommends tini && rm -rf /var/lib/apt/lists/*
WORKDIR /usr/src/app
ENV NODE_ENV=production \
TRANSFORMERS_CACHE=/cache \
PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1 \
PATH="/opt/venv/bin:$PATH" \
PYTHONPATH=/usr/src
COPY --from=builder /opt/venv /opt/venv
COPY app .
ENTRYPOINT ["tini", "--"]
CMD ["python", "-m", "app.main"]