Dockerfile_arm

# Use Ubuntu 22.04 with ARM64 architecture
FROM --platform=linux/arm64 ubuntu:22.04

# Set environment variables to non-interactive to avoid prompts during build
ENV DEBIAN_FRONTEND=noninteractive

RUN apt-get clean && rm -rf /var/lib/apt/lists/* && rm -rf /var/cache/apt/archives/lock && rm -rf /var/lib/dpkg/lock \
    && apt-get update \
    # && apt-get install libatlas-base-dev liblapack-dev libblas-dev -y \
    && apt-get install -y python3.10 python3.10-venv python3.10-dev \
    && apt-get install -y python3-pip

# Update pip to the latest version using Python 3.10
RUN python3.10 -m pip install --upgrade pip

# Optionally, set Python 3.10 as the default Python version
# This makes `python` and `pip` commands point to Python 3.10 versions
RUN update-alternatives --install /usr/bin/python python /usr/bin/python3.10 1 && \
    update-alternatives --install /usr/bin/pip pip /usr/bin/pip3 100
ENV PYTHONPATH "${PYTHONPATH}:/my/custom/path"

#Set the working directory to "/app" in the Docker container
WORKDIR /app
# Set directory for /data to access conf/,prep/,results/,reference/ data from external volume
RUN mkdir /data

### This block is to update GDAL, which is too old in Ubuntu 20.04 ARM
# Install necessary packages for Miniforge installation
RUN apt-get update && apt-get install -y wget && rm -rf /var/lib/apt/lists/*
# Download and Install Miniforge for ARM64 architecture
RUN wget https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Linux-aarch64.sh -O /miniforge.sh \
    && bash /miniforge.sh -b -p /miniconda \
    && rm /miniforge.sh
# Add Miniconda (Miniforge) to PATH
ENV PATH="/miniconda/bin:${PATH}"
# Update Conda and Install GDAL from the conda-forge channel
RUN conda update -n base -c defaults conda
RUN conda install -c conda-forge gdal

# Install any dependencies
COPY requirements-arm.txt /app/
COPY Makefile /app/
COPY .env /app/
COPY src/ /app/src/
COPY conf/ /app/conf/
COPY logging.yml /app/
COPY templates/ /app/templates/
RUN make install-arm
RUN pip install numpy --upgrade --user
RUN pip install numba --upgrade --user

# Expose port 80 for the application
EXPOSE 80

# Command to run the application
ENV PYTHONPATH "${PYTHONPATH}:/app"
CMD ["python3", "-m", "src.pipelines.visium_flow", "run"]