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# FROM nvidia/cuda:12.5.1-devel-ubuntu22.04
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FROM nvidia/cuda:12.6.3-devel-ubuntu22.04
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# FROM julia:latest
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# FROM debian:latest
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# ------------------------------------------------------------------------------------------------ #
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# install required APT packages #
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# ------------------------------------------------------------------------------------------------ #
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RUN export DEBIAN_FRONTEND=noninteractive && apt-get update && apt-get install -y \
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software-properties-common \
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build-essential \
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busybox \
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g++ \
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gcc \
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wget \
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net-tools \
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curl \
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iputils-ping \
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unzip \
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unixodbc \
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unixodbc-dev \
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libicu-dev \
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nano \
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libmosquitto-dev \
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git \
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git-lfs \
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ffmpeg \
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libsm6 \
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libxext6 \
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tar \
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zip \
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libssl-dev \
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cmake \
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ccache \
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# python3 \
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# python3-pip \
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# python-is-python3 \
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# python3-venv \
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postgresql-client \
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cargo \
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procps
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# ------------------------------------------------------------------------------------------------ #
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# Set up folder structure #
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# ------------------------------------------------------------------------------------------------ #
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RUN mkdir /appfolder \
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&& mkdir /appfolder/mountvolume \
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&& mkdir /appfolder/app \
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&& mkdir /appfolder/app/temp
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# COPY . /appfolder/app/temp
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# RUN mv /appfolder/app/temp/env_preparation.jl /appfolder/app
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# ------------------------------------------------------------------------------------------------ #
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# Set up for Julia app #
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# ------------------------------------------------------------------------------------------------ #
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RUN mkdir /appfolder/julia
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WORKDIR /appfolder/julia
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# Option 1) install julia by downloading the tar.gz file directly
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# # RUN wget https://julialang-s3.julialang.org/bin/linux/x64/1.11/julia-1.11.3-linux-x86_64.tar.gz
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# # RUN wget https://julialang-s3.julialang.org/bin/linux/aarch64/1.11/julia-1.11.3-linux-aarch64.tar.gz
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# COPY ./julia-1.11.3-linux-x86_64.tar.gz /appfolder/julia
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# #COPY ./julia-1.11.3-linux-aarch64.tar.gz /appfolder/julia
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# RUN tar zxvf julia-1.11.3-linux-x86_64.tar.gz
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# #RUN tar zxvf julia-1.11.3-linux-aarch64.tar.gz
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# RUN rm julia-1.11.3-linux-x86_64.tar.gz
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# #RUN rm julia-1.11.3-linux-aarch64.tar.gz
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# # add julia executable softlink(symlink) to usr/local/bin to be able to run julia everywhere
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# RUN ln -s /appfolder/julia/julia-1.11.3/bin/julia /usr/local/bin
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# #RUN echo "alias julia='~/julia/julia-1.11.3/bin/julia'" >> ~/.bashrc && source ~/.bashrc
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# Option 2) install julia by downloading the tar.gz file directly using juliaup
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# RUN curl -fsSL https://install.julialang.org | sh -s -- -y
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# SHELL ["/bin/bash", "--login" , "-c"]
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# ------------------------------------------------------------------------------------------------ #
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# Set up for webapp frontend #
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# ------------------------------------------------------------------------------------------------ #
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# # make folder path according to URL ***assuming root folder is at /appfolder/app as specified in Caddyfile***
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# RUN mkdir -p /appfolder/app/hq/agent/sommelier/frontend/user
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# COPY . /appfolder/app/hq/agent/sommelier/frontend/user
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# -------------------------------------- install web server -------------------------------------- #
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# option 1) NGINX
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# RUN apt-get update && apt-get install -y nginx
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# COPY nginx.conf /etc/nginx/nginx.conf
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# # Copy your static website files to the Nginx HTML directory
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# COPY . /usr/share/nginx/html
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# option 2) Caddy
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# RUN apt-get update && apt-get install -y caddy
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# ---------------------------------------- install backend --------------------------------------- #
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# option 1) nodejs https://deb.nodesource.com/
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# RUN curl -sL https://deb.nodesource.com/setup_20.x | bash - && \
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# apt-get update && apt-get install -y nodejs
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# ------------------------------------------------------------------------------------------------ #
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# install Conda as primary python environment with specified python version #
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# ------------------------------------------------------------------------------------------------ #
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# WORKDIR /appfolder/app/temp
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# RUN PATH="${HOME}/conda/bin:${PATH}" \
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# && wget -O Miniforge3.sh "https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-$(uname)-$(uname -m).sh" \
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# && bash Miniforge3.sh -b -p "${HOME}/conda" \
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# && rm -f Miniforge3.sh \
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# && source "${HOME}/conda/etc/profile.d/conda.sh" \
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# && source "${HOME}/conda/etc/profile.d/mamba.sh" \
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# && conda activate \
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# && conda update conda -y \
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# && conda install python=3.11 -y \
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# && conda install pip -y \
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# && pip install --trusted-host pypi.python.org -r /appfolder/app/temp/required_python_packages.txt
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# # && . /root/.bashrc
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# # add python to path to allow CMD python -m at the last line AND to be able to call python -m at linux shell
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# ENV PATH=/root/conda/bin:$PATH
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# # && CMAKE_ARGS="-DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=OpenBLAS -DLLAMA_AVX2=OFF -DLLAMA_F16C=OFF -DLLAMA_FMA=OFF" FORCE_CMAKE=1 pip install llama-cpp-python --no-cache-dir
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# # && CMAKE_ARGS="-DLLAMA_CUBLAS=on -DLLAMA_AVX2=OFF -DLLAMA_F16C=OFF -DLLAMA_FMA=OFF" FORCE_CMAKE=1 pip install llama-cpp-python==0.2.77 --no-cache-dir
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# # https://github.com/abetlen/llama-cpp-python/issues/412 old CPU cause CUBLAS compile problem
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# ------------------------------------------------------------------------------------------------ #
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# install julia package for my app #
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# ------------------------------------------------------------------------------------------------ #
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WORKDIR /appfolder/app
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# RUN julia -t auto env_preparation.jl
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# ------------------------------------------------------------------------------------------------ #
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# install powershell #
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# ------------------------------------------------------------------------------------------------ #
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WORKDIR /appfolder/app/temp
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# Option 1) using .deb package
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# RUN wget https://github.com/PowerShell/PowerShell/releases/download/v7.5.0/powershell_7.5.0-1.deb_amd64.deb
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# RUN dpkg -i powershell_7.5.0-1.deb_amd64.deb
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# RUN apt-get install -f
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# Option 2) using binary package
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# https://learn.microsoft.com/en-us/powershell/scripting/install/install-other-linux?view=powershell-7.5
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# RUN wget https://github.com/PowerShell/PowerShell/releases/download/v7.5.2/powershell-7.5.2-linux-x64.tar.gz \
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# && mkdir -p /opt/microsoft/powershell/7 \
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# && tar -zxf powershell-7.5.2-linux-x64.tar.gz -C /opt/microsoft/powershell/7 \
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# && chmod +x /opt/microsoft/powershell/7/pwsh \
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# && ln -s /opt/microsoft/powershell/7/pwsh /usr/bin/pwsh
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# ------------------------------------------------------------------------------------------------ #
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# remove temp folder after everything is done #
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# ------------------------------------------------------------------------------------------------ #
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WORKDIR /appfolder/app
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RUN rm -r /appfolder/app/temp
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# Make port 80 available to the world outside this container. If I use --publish at docker run command, there is no need to use EXPOSE
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# EXPOSE 1883
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# ------------------------------------------------------------------------------------------------ #
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# Build llama.cpp with CUDA #
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# ------------------------------------------------------------------------------------------------ #
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WORKDIR /appfolder/mountvolume/
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# clone llama.cpp repo
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# RUN git clone https://github.com/ggml-org/llama.cpp
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# build llama.cpp (change directory in the same RUN command) didn't work in Dockerfile, I need to sleep the container then get inside
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# to build it myself.
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# WORKDIR /appfolder/mountvolume/llama.cpp
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# RUN cmake -B build -DGGML_CUDA=ON
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# RUN cmake --build build --config Release -j
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# ------------------------------------------------------------------------------------------------ #
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# Run app when the container launches #
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# ------------------------------------------------------------------------------------------------ #
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WORKDIR /appfolder/app
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# CMD julia --project -t auto main.jl
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# CMD ["caddy", "run", "--config", "/appfolder/mountvolume/config/Caddyfile"]
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# CMD ["nginx", "-g", "daemon off;"]
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# CMD [ "sleep", "infinity" ]
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CMD ["/appfolder/mountvolume/llama.cpp/build/bin/llama-server", "-m", "/appfolder/mountvolume/Qwen3-Embedding-0.6B-Q8_0.gguf", "--host", "0.0.0.0", "--port", "8080", "--embeddings", "-ngl", "0"]
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