Use vtk binary for arm images

docker/Dockerfile

@@ -1,13 +1,15 @@
-FROM ghcr.io/fenics/dolfinx/lab:nightly
+# Execute from root of repo as: docker buildx build --platform=linux/arm64,linux/amd64 -f docker/Dockerfile ./docker/ --progress=plain
+
+FROM ghcr.io/fenics/dolfinx/lab:v0.7.0
+ARG TARGETPLATFORM
 
-WORKDIR /tmp/
 
 ENV DEB_PYTHON_INSTALL_LAYOUT=deb_system
 ENV HDF5_MPI="ON"
 ENV HDF5_DIR="/usr/local"
 ENV PYVISTA_JUPYTER_BACKEND="panel"
 
-# Requirements for pyvista (gl1 and render1) and jupyterlab (nodejs and curl)
+# # Requirements for pyvista (gl1 and render1) and jupyterlab (nodejs and curl)
 RUN apt-get update && apt-get install -y libgl1-mesa-glx libxrender1 xvfb curl
 RUN curl -sL https://deb.nodesource.com/setup_18.x -o nodesource_setup.sh && \
     bash nodesource_setup.sh && \
@@ -16,8 +18,19 @@ RUN curl -sL https://deb.nodesource.com/setup_18.x -o nodesource_setup.sh && \
 # Upgrade setuptools and pip
 RUN python3 -m pip install -U setuptools pip pkgconfig
 
+# BUILD VTK
+# ENV VTK_VERSION="v9.2.6"
+# RUN git clone --recursive --branch ${VTK_VERSION} --single-branch https://gitlab.kitware.com/vtk/vtk.git vtk && \
+#     cmake -G Ninja -DVTK_WHEEL_BUILD=ON -DVTK_WRAP_PYTHON=ON vtk/ && \
+#     ninja && \
+#     python3 setup.py bdist_wheela
+
+RUN echo ${TARGETPLATFORM}
+RUN if [ "$TARGETPLATFORM" = "linux/arm64" ]; then python3 -m pip install "https://github.com/finsberg/vtk-aarch64/releases/download/vtk-9.2.6-cp310/vtk-9.2.6.dev0-cp310-cp310-linux_aarch64.whl"; fi
+RUN if [ "$TARGETPLATFORM" = "linux/amd64" ]; then python3 -m pip install vtk; fi
+
 ADD requirements.txt /tmp/requirements.txt
-RUN python3 -m pip install --no-cache-dir -U -r requirements.txt
+RUN python3 -m pip install --no-cache-dir -v -r requirements.txt
 RUN python3 -m pip cache purge
 RUN jupyter lab build
 ENTRYPOINT ["jupyter", "lab", "--ip", "0.0.0.0", "--no-browser", "--allow-root"]