108 lines
3.7 KiB
Docker
Executable File
108 lines
3.7 KiB
Docker
Executable File
# FROM nvidia/cuda:12.2.0-devel-ubuntu20.04
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FROM julia:1.13
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# FROM debian:latest
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# ---------------------------------------------- 100 --------------------------------------------- #
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# install required APT packages
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RUN export DEBIAN_FRONTEND=noninteractive && apt-get update && apt-get install -y \
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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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# 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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# 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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# # python3 \
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# # python3-pip \
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# # python-is-python3 \
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# postgresql-client \
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# cargo \
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# procps \
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curl
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# # For webapp frontend
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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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# # install 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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# set up the app
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RUN mkdir /appfolder
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# RUN mkdir /appfolder/mountvolume
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RUN mkdir /appfolder/app
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RUN mkdir /appfolder/app/temp
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COPY . /appfolder/app/temp
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COPY ./env_preparation.jl /appfolder/app
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# RUN mkdir /appfolder
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# COPY . /appfolder
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# install Conda as primary python environment with specified python version
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WORKDIR /appfolder
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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-Linux-aarch64.sh \
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# && wget -O Miniforge3.sh https://github.com/conda-forge/miniforge/releases/latest/download/Mambaforge-Linux-x86_64.sh \
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# && bash Miniforge3.sh -b -p "${HOME}/conda" \
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# && rm -f Miniforge3.sh \
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# && echo "Running $(conda --version)" \
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# && conda init bash \
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# && . /root/.bashrc \
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# && conda update conda -y \
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# && conda install python=3.10 -y
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# # install pip into conda's base env
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# RUN PATH="${HOME}/conda/bin:${PATH}" \
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# && conda install pip \
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# && pip install --trusted-host pypi.python.org -r required_python_packages.txt \
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# # && CMAKE_ARGS="-DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=OpenBLAS -DLLAMA_AVX2=OFF -DLLAMA_F16C=OFF -DLLAMA_FMA=OFF" FORCE_CMAKE=1 pip install llama-cpp-python --no-cache-dir
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# && CMAKE_ARGS="-DLLAMA_CUBLAS=on -DLLAMA_AVX2=OFF -DLLAMA_F16C=OFF -DLLAMA_FMA=OFF" FORCE_CMAKE=1 pip install llama-cpp-python==0.2.77 --no-cache-dir
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# # https://github.com/abetlen/llama-cpp-python/issues/412 old CPU cause CUBLAS compile problem
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# # to be able to use CMD python -m at the last line
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# ENV PATH=/root/conda/bin:$PATH
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# # install powershell
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# WORKDIR /appfolder/app/temp
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# RUN wget https://github.com/PowerShell/PowerShell/releases/download/v7.4.5/powershell_7.4.5-1.deb_amd64.deb
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# RUN dpkg -i powershell_7.4.5-1.deb_amd64.deb
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# RUN apt-get install -f
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# 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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# install julia package for my app
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WORKDIR /appfolder/app
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RUN julia -t 1 env_preparation.jl
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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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# Health check server port
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EXPOSE 3000
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# Run app when the container launches
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WORKDIR /appfolder/app
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RUN julia --project -t 1 -e 'using Pkg; Pkg.instantiate(); Pkg.precompile()'
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CMD ["julia", "--project", "-t", "2", "/appfolder/app/main.jl"]
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# CMD ["nginx", "-g", "daemon off;"]
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# CMD [ "sleep", "infinity" ]
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