# FROM nvidia/cuda:12.2.0-devel-ubuntu20.04
FROM julia:1.13
# FROM debian:latest

# ---------------------------------------------- 100 --------------------------------------------- #

# install required APT packages
RUN export DEBIAN_FRONTEND=noninteractive && apt-get update && apt-get install -y \
    # build-essential \
    # busybox \
    # g++ \
    # gcc \
    # wget \
    # net-tools \
    # iputils-ping \
    # unzip \
    # unixodbc \
    # unixodbc-dev \
    # libicu-dev \
    # nano \
    # libmosquitto-dev \
    # git \
    # ffmpeg \
    # libsm6 \
    # libxext6 \
    # tar \
    # zip \
    # libssl-dev \
    # # python3 \
    # # python3-pip \
    # # python-is-python3 \
    # postgresql-client \
    # cargo \
    # procps \
    curl

# # For webapp frontend
# RUN apt-get update && apt-get install -y nginx
# COPY nginx.conf /etc/nginx/nginx.conf
# # Copy your static website files to the Nginx HTML directory
# COPY . /usr/share/nginx/html

# # install nodejs    https://deb.nodesource.com/
# RUN curl -sL https://deb.nodesource.com/setup_20.x | bash - && \
#   apt-get update && apt-get install -y nodejs

# set up the app
RUN mkdir /appfolder
# RUN mkdir /appfolder/mountvolume
RUN mkdir /appfolder/app
RUN mkdir /appfolder/app/temp
COPY . /appfolder/app/temp
COPY ./env_preparation.jl /appfolder/app
# RUN mkdir /appfolder
# COPY . /appfolder

# install Conda as primary python environment with specified python version
WORKDIR /appfolder
# RUN PATH="${HOME}/conda/bin:${PATH}" \
#     # && wget -O Miniforge3.sh https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Linux-aarch64.sh \
#     && wget -O Miniforge3.sh https://github.com/conda-forge/miniforge/releases/latest/download/Mambaforge-Linux-x86_64.sh \
#     && bash Miniforge3.sh -b -p "${HOME}/conda" \
#     && rm -f Miniforge3.sh \
#     && echo "Running $(conda --version)" \
#     && conda init bash \
#     && . /root/.bashrc \
#     && conda update conda -y \
#     && conda install python=3.10 -y

# # install pip into conda's base env
# RUN PATH="${HOME}/conda/bin:${PATH}" \
#     && conda install pip \
#     && pip install --trusted-host pypi.python.org -r required_python_packages.txt \
#     # && 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
#     && 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
# # https://github.com/abetlen/llama-cpp-python/issues/412 old CPU cause CUBLAS compile problem

# # to be able to use CMD python -m at the last line
# ENV PATH=/root/conda/bin:$PATH

# # install powershell
# WORKDIR /appfolder/app/temp
# RUN wget https://github.com/PowerShell/PowerShell/releases/download/v7.4.5/powershell_7.4.5-1.deb_amd64.deb
# RUN dpkg -i powershell_7.4.5-1.deb_amd64.deb
# RUN apt-get install -f

# using juliaup
# RUN curl -fsSL https://install.julialang.org | sh -s -- -y
# SHELL ["/bin/bash", "--login" , "-c"]

# install julia package for my app
WORKDIR /appfolder/app
RUN julia -t 1 env_preparation.jl


# 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
# EXPOSE 1883

# Health check server port
EXPOSE 3000

# Run app when the container launches
WORKDIR /appfolder/app
RUN julia --project -t 1 -e 'using Pkg; Pkg.instantiate(); Pkg.precompile()'
CMD ["julia", "--project", "-t", "2", "/appfolder/app/main.jl"]
# CMD ["nginx", "-g", "daemon off;"]
# CMD [ "sleep", "infinity" ]