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* feat(chart): add Helm chart for deploying Label Studio with PostgreSQL * feat(milvus): update Milvus configuration to use URI and remove deprecated host/port settings
48 lines
1.7 KiB
Docker
48 lines
1.7 KiB
Docker
FROM python:3.12-slim
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# Single-stage image with build cache optimization using BuildKit cache mounts.
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# Note: to use the cache mount syntax you must build with BuildKit enabled:
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# DOCKER_BUILDKIT=1 docker build . -f scripts/images/datamate-python/Dockerfile -t datamate-backend-python
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ENV PYTHONDONTWRITEBYTECODE=1 \
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PYTHONUNBUFFERED=1 \
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# Poetry configuration
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POETRY_VERSION=2.2.1 \
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POETRY_NO_INTERACTION=1 \
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POETRY_VIRTUALENVS_CREATE=false \
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POETRY_CACHE_DIR=/tmp/poetry_cache
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ENV PATH="/root/.local/bin:$PATH"
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WORKDIR /app
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# Install Poetry via pipx as Poetry officially recommends
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RUN --mount=type=cache,target=/root/.cache/pip \
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pip install --upgrade --root-user-action=ignore pip \
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&& pip install --root-user-action=ignore pipx \
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&& pipx install "poetry==$POETRY_VERSION"
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# Copy only dependency files first (leverages layer caching when dependencies don't change)
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COPY runtime/datamate-python/pyproject.toml runtime/datamate-python/poetry.lock* /app/
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# Install dependencies using Poetry with cache mount
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# --no-root: don't install the project itself yet (only dependencies)
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# --only main: only install main dependencies, not dev dependencies
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RUN --mount=type=cache,target=$POETRY_CACHE_DIR \
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poetry install --no-root --only main
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# Download NLTK data
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RUN python -c "import nltk; nltk.download('punkt_tab', download_dir='/usr/local/nltk_data')"
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ENV NLTK_DATA=/usr/local/nltk_data
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# Copy the rest of the application
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COPY runtime/datamate-python /app
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COPY runtime/datamate-python/deploy/docker-entrypoint.sh /docker-entrypoint.sh
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RUN chmod +x /docker-entrypoint.sh || true
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# Expose the application port
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EXPOSE 18000
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ENTRYPOINT ["/docker-entrypoint.sh"]
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