mirror of
https://github.com/mudler/LocalAI.git
synced 2024-12-30 01:18:52 +00:00
202 lines
7.6 KiB
Docker
202 lines
7.6 KiB
Docker
ARG GO_VERSION=1.21-bullseye
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ARG IMAGE_TYPE=extras
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# extras or core
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FROM golang:$GO_VERSION as requirements-core
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ARG BUILD_TYPE
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ARG CUDA_MAJOR_VERSION=11
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ARG CUDA_MINOR_VERSION=7
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ARG TARGETARCH
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ARG TARGETVARIANT
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ENV BUILD_TYPE=${BUILD_TYPE}
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ENV EXTERNAL_GRPC_BACKENDS="coqui:/build/backend/python/coqui/run.sh,huggingface-embeddings:/build/backend/python/sentencetransformers/run.sh,petals:/build/backend/python/petals/run.sh,transformers:/build/backend/python/transformers/run.sh,sentencetransformers:/build/backend/python/sentencetransformers/run.sh,autogptq:/build/backend/python/autogptq/run.sh,bark:/build/backend/python/bark/run.sh,diffusers:/build/backend/python/diffusers/run.sh,exllama:/build/backend/python/exllama/run.sh,vall-e-x:/build/backend/python/vall-e-x/run.sh,vllm:/build/backend/python/vllm/run.sh,exllama2:/build/backend/python/exllama2/run.sh,transformers-musicgen:/build/backend/python/transformers-musicgen/run.sh"
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ENV GALLERIES='[{"name":"model-gallery", "url":"github:go-skynet/model-gallery/index.yaml"}, {"url": "github:go-skynet/model-gallery/huggingface.yaml","name":"huggingface"}]'
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ARG GO_TAGS="stablediffusion tinydream tts"
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RUN apt-get update && \
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apt-get install -y ca-certificates curl patch pip cmake && apt-get clean
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COPY --chmod=644 custom-ca-certs/* /usr/local/share/ca-certificates/
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RUN update-ca-certificates
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# Use the variables in subsequent instructions
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RUN echo "Target Architecture: $TARGETARCH"
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RUN echo "Target Variant: $TARGETVARIANT"
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# CuBLAS requirements
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RUN if [ "${BUILD_TYPE}" = "cublas" ]; then \
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apt-get install -y software-properties-common && \
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apt-add-repository contrib && \
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curl -O https://developer.download.nvidia.com/compute/cuda/repos/debian11/x86_64/cuda-keyring_1.0-1_all.deb && \
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dpkg -i cuda-keyring_1.0-1_all.deb && \
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rm -f cuda-keyring_1.0-1_all.deb && \
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apt-get update && \
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apt-get install -y cuda-nvcc-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libcublas-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libcusparse-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libcusolver-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} && apt-get clean \
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; fi
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ENV PATH /usr/local/cuda/bin:${PATH}
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# OpenBLAS requirements and stable diffusion
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RUN apt-get install -y \
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libopenblas-dev \
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libopencv-dev \
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&& apt-get clean
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# Set up OpenCV
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RUN ln -s /usr/include/opencv4/opencv2 /usr/include/opencv2
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WORKDIR /build
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RUN test -n "$TARGETARCH" \
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|| (echo 'warn: missing $TARGETARCH, either set this `ARG` manually, or run using `docker buildkit`')
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# Extras requirements
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FROM requirements-core as requirements-extras
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RUN curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg && \
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install -o root -g root -m 644 conda.gpg /usr/share/keyrings/conda-archive-keyring.gpg && \
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gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \
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echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" > /etc/apt/sources.list.d/conda.list && \
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echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" | tee -a /etc/apt/sources.list.d/conda.list && \
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apt-get update && \
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apt-get install -y conda
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ENV PATH="/root/.cargo/bin:${PATH}"
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RUN pip install --upgrade pip
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RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y
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RUN apt-get install -y espeak-ng espeak
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###################################
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###################################
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FROM requirements-${IMAGE_TYPE} as builder
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ARG GO_TAGS="stablediffusion tts"
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ARG GRPC_BACKENDS
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ARG BUILD_GRPC=true
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ENV GRPC_BACKENDS=${GRPC_BACKENDS}
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ENV GO_TAGS=${GO_TAGS}
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ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
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ENV NVIDIA_REQUIRE_CUDA="cuda>=${CUDA_MAJOR_VERSION}.0"
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ENV NVIDIA_VISIBLE_DEVICES=all
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WORKDIR /build
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COPY . .
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COPY .git .
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RUN make prepare
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# stablediffusion does not tolerate a newer version of abseil, build it first
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RUN GRPC_BACKENDS=backend-assets/grpc/stablediffusion make build
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RUN if [ "${BUILD_GRPC}" = "true" ]; then \
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git clone --recurse-submodules -b v1.58.0 --depth 1 --shallow-submodules https://github.com/grpc/grpc && \
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cd grpc && mkdir -p cmake/build && cd cmake/build && cmake -DgRPC_INSTALL=ON \
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-DgRPC_BUILD_TESTS=OFF \
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../.. && make -j12 install \
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; fi
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# Rebuild with defaults backends
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RUN make build
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RUN if [ ! -d "/build/sources/go-piper/piper-phonemize/pi/lib/" ]; then \
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mkdir -p /build/sources/go-piper/piper-phonemize/pi/lib/ \
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touch /build/sources/go-piper/piper-phonemize/pi/lib/keep \
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; fi
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###################################
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###################################
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FROM requirements-${IMAGE_TYPE}
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ARG FFMPEG
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ARG BUILD_TYPE
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ARG TARGETARCH
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ARG IMAGE_TYPE=extras
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ENV BUILD_TYPE=${BUILD_TYPE}
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ENV REBUILD=false
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ENV HEALTHCHECK_ENDPOINT=http://localhost:8080/readyz
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ARG CUDA_MAJOR_VERSION=11
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ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
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ENV NVIDIA_REQUIRE_CUDA="cuda>=${CUDA_MAJOR_VERSION}.0"
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ENV NVIDIA_VISIBLE_DEVICES=all
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# Add FFmpeg
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RUN if [ "${FFMPEG}" = "true" ]; then \
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apt-get install -y ffmpeg \
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; fi
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WORKDIR /build
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# we start fresh & re-copy all assets because `make build` does not clean up nicely after itself
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# so when `entrypoint.sh` runs `make build` again (which it does by default), the build would fail
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# see https://github.com/go-skynet/LocalAI/pull/658#discussion_r1241971626 and
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# https://github.com/go-skynet/LocalAI/pull/434
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COPY . .
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COPY --from=builder /build/sources ./sources/
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COPY --from=builder /build/grpc ./grpc/
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RUN make prepare-sources && cd /build/grpc/cmake/build && make install && rm -rf grpc
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# Copy the binary
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COPY --from=builder /build/local-ai ./
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# Copy shared libraries for piper
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COPY --from=builder /build/sources/go-piper/piper-phonemize/pi/lib/* /usr/lib/
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# do not let stablediffusion rebuild (requires an older version of absl)
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COPY --from=builder /build/backend-assets/grpc/stablediffusion ./backend-assets/grpc/stablediffusion
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## Duplicated from Makefile to avoid having a big layer that's hard to push
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RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
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PATH=$PATH:/opt/conda/bin make -C backend/python/autogptq \
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; fi
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RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
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PATH=$PATH:/opt/conda/bin make -C backend/python/bark \
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; fi
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RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
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PATH=$PATH:/opt/conda/bin make -C backend/python/diffusers \
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; fi
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RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
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PATH=$PATH:/opt/conda/bin make -C backend/python/vllm \
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; fi
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RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
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PATH=$PATH:/opt/conda/bin make -C backend/python/sentencetransformers \
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; fi
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RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
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PATH=$PATH:/opt/conda/bin make -C backend/python/transformers \
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; fi
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RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
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PATH=$PATH:/opt/conda/bin make -C backend/python/vall-e-x \
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; fi
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RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
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PATH=$PATH:/opt/conda/bin make -C backend/python/exllama \
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; fi
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RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
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PATH=$PATH:/opt/conda/bin make -C backend/python/exllama2 \
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; fi
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RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
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PATH=$PATH:/opt/conda/bin make -C backend/python/petals \
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; fi
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RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
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PATH=$PATH:/opt/conda/bin make -C backend/python/transformers-musicgen \
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; fi
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RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
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PATH=$PATH:/opt/conda/bin make -C backend/python/coqui \
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; fi
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# Define the health check command
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HEALTHCHECK --interval=1m --timeout=10m --retries=10 \
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CMD curl -f $HEALTHCHECK_ENDPOINT || exit 1
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EXPOSE 8080
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ENTRYPOINT [ "/build/entrypoint.sh" ]
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