# Copyright (c) 2022-2025, The Isaac Lab Project Developers (https://github.com/isaac-sim/IsaacLab/blob/main/CONTRIBUTORS.md).
# All rights reserved.
#
# SPDX-License-Identifier: BSD-3-Clause

# Nvidia Dockerfiles: https://github.com/NVIDIA-Omniverse/IsaacSim-dockerfiles
# Please check above link for license information.

# Base image
ARG ISAACSIM_BASE_IMAGE_ARG
ARG ISAACSIM_VERSION_ARG
FROM ${ISAACSIM_BASE_IMAGE_ARG}:${ISAACSIM_VERSION_ARG} AS base
ENV ISAACSIM_VERSION=${ISAACSIM_VERSION_ARG}

# Set default RUN shell to bash
SHELL ["/bin/bash", "-c"]

# Adds labels to the Dockerfile
LABEL version="2.1.1"
LABEL description="Dockerfile for building and running the Isaac Lab framework inside Isaac Sim container image."

# Arguments
# Path to Isaac Sim root folder
ARG ISAACSIM_ROOT_PATH_ARG
ENV ISAACSIM_ROOT_PATH=${ISAACSIM_ROOT_PATH_ARG}
# Path to the Isaac Lab directory
ARG ISAACLAB_PATH_ARG
ENV ISAACLAB_PATH=${ISAACLAB_PATH_ARG}
# Home dir of docker user, typically '/root'
ARG DOCKER_USER_HOME_ARG
ENV DOCKER_USER_HOME=${DOCKER_USER_HOME_ARG}

# Set environment variables
ENV LANG=C.UTF-8
ENV DEBIAN_FRONTEND=noninteractive

USER root

# Install dependencies and remove cache
RUN --mount=type=cache,target=/var/cache/apt \
    apt-get update && apt-get install -y --no-install-recommends \
    build-essential \
    cmake \
    git \
    libglib2.0-0 \
    ncurses-term \
    wget && \
    apt -y autoremove && apt clean autoclean && \
    rm -rf /var/lib/apt/lists/*

# Detect Ubuntu version and install CUDA 12.8 via NVIDIA network repo (cuda-keyring)
RUN set -euo pipefail && \
    . /etc/os-release && \
    case "$ID" in \
      ubuntu) \
        case "$VERSION_ID" in \
          "20.04") cuda_repo="ubuntu2004";; \
          "22.04") cuda_repo="ubuntu2204";; \
          "24.04") cuda_repo="ubuntu2404";; \
          *) echo "Unsupported Ubuntu $VERSION_ID"; exit 1;; \
        esac ;; \
      *) echo "Unsupported base OS: $ID"; exit 1 ;; \
    esac && \
    apt-get update && apt-get install -y --no-install-recommends wget gnupg ca-certificates && \
    wget -q https://developer.download.nvidia.com/compute/cuda/repos/${cuda_repo}/x86_64/cuda-keyring_1.1-1_all.deb && \
    dpkg -i cuda-keyring_1.1-1_all.deb && \
    rm -f cuda-keyring_1.1-1_all.deb && \
    wget -q https://developer.download.nvidia.com/compute/cuda/repos/${cuda_repo}/x86_64/cuda-${cuda_repo}.pin && \
    mv cuda-${cuda_repo}.pin /etc/apt/preferences.d/cuda-repository-pin-600 && \
    apt-get update && \
    apt-get install -y --no-install-recommends cuda-toolkit-12-8 && \
    apt-get -y autoremove && apt-get clean && rm -rf /var/lib/apt/lists/*


ENV CUDA_HOME=/usr/local/cuda-12.8
ENV PATH=${CUDA_HOME}/bin:${PATH}
ENV LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}
ENV TORCH_CUDA_ARCH_LIST=8.0+PTX

# Copy the Isaac Lab directory (files to exclude are defined in .dockerignore)
COPY ../ ${ISAACLAB_PATH}

# Ensure isaaclab.sh has execute permissions
RUN chmod +x ${ISAACLAB_PATH}/isaaclab.sh

# Set up a symbolic link between the installed Isaac Sim root folder and _isaac_sim in the Isaac Lab directory
RUN ln -sf ${ISAACSIM_ROOT_PATH} ${ISAACLAB_PATH}/_isaac_sim

# Install toml dependency
RUN ${ISAACLAB_PATH}/isaaclab.sh -p -m pip install toml

# Install apt dependencies for extensions that declare them in their extension.toml
RUN --mount=type=cache,target=/var/cache/apt \
    ${ISAACLAB_PATH}/isaaclab.sh -p ${ISAACLAB_PATH}/tools/install_deps.py apt ${ISAACLAB_PATH}/source && \
    apt -y autoremove && apt clean autoclean && \
    rm -rf /var/lib/apt/lists/*

# for singularity usage, have to create the directories that will binded
RUN mkdir -p ${ISAACSIM_ROOT_PATH}/kit/cache && \
    mkdir -p ${DOCKER_USER_HOME}/.cache/ov && \
    mkdir -p ${DOCKER_USER_HOME}/.cache/pip && \
    mkdir -p ${DOCKER_USER_HOME}/.cache/nvidia/GLCache &&  \
    mkdir -p ${DOCKER_USER_HOME}/.nv/ComputeCache && \
    mkdir -p ${DOCKER_USER_HOME}/.nvidia-omniverse/logs && \
    mkdir -p ${DOCKER_USER_HOME}/.local/share/ov/data && \
    mkdir -p ${DOCKER_USER_HOME}/Documents

# for singularity usage, create NVIDIA binary placeholders
RUN touch /bin/nvidia-smi && \
    touch /bin/nvidia-debugdump && \
    touch /bin/nvidia-persistenced && \
    touch /bin/nvidia-cuda-mps-control && \
    touch /bin/nvidia-cuda-mps-server && \
    touch /etc/localtime && \
    mkdir -p /var/run/nvidia-persistenced && \
    touch /var/run/nvidia-persistenced/socket

# installing Isaac Lab dependencies
# use pip caching to avoid reinstalling large packages
RUN --mount=type=cache,target=${DOCKER_USER_HOME}/.cache/pip \
    ${ISAACLAB_PATH}/isaaclab.sh --install

# Install cuRobo from source (pinned commit); needs CUDA env and Torch
RUN ${ISAACLAB_PATH}/isaaclab.sh -p -m pip install --no-build-isolation \
    "nvidia-curobo @ git+https://github.com/NVlabs/curobo.git@ebb71702f3f70e767f40fd8e050674af0288abe8"

# HACK: Remove install of quadprog dependency
RUN ${ISAACLAB_PATH}/isaaclab.sh -p -m pip uninstall -y quadprog

# aliasing isaaclab.sh and python for convenience
RUN echo "export ISAACLAB_PATH=${ISAACLAB_PATH}" >> ${HOME}/.bashrc && \
    echo "alias isaaclab=${ISAACLAB_PATH}/isaaclab.sh" >> ${HOME}/.bashrc && \
    echo "alias python=${ISAACLAB_PATH}/_isaac_sim/python.sh" >> ${HOME}/.bashrc && \
    echo "alias python3=${ISAACLAB_PATH}/_isaac_sim/python.sh" >> ${HOME}/.bashrc && \
    echo "alias pip='${ISAACLAB_PATH}/_isaac_sim/python.sh -m pip'" >> ${HOME}/.bashrc && \
    echo "alias pip3='${ISAACLAB_PATH}/_isaac_sim/python.sh -m pip'" >> ${HOME}/.bashrc && \
    echo "alias tensorboard='${ISAACLAB_PATH}/_isaac_sim/python.sh ${ISAACLAB_PATH}/_isaac_sim/tensorboard'" >> ${HOME}/.bashrc && \
    echo "export TZ=$(date +%Z)" >> ${HOME}/.bashrc && \
    echo "shopt -s histappend" >> /root/.bashrc && \
    echo "PROMPT_COMMAND='history -a'" >> /root/.bashrc

# make working directory as the Isaac Lab directory
# this is the default directory when the container is run
WORKDIR ${ISAACLAB_PATH}