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Update Makefile: add DOCKER_BUILDKIT=0 to docker build #508
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Wondering if we should actually be using buildkit 1?
Also, this is a good work-around for now, but given the contents mentioned here, we'll probably still want to modify our dockerfiles to build with buildkit 2 but one step at a time.
The variable is a boolean flag (0/1, on/off), it doesn't work the same as the API which is 1/2 (legacy/buildkit). |
* Update build_push.yaml: actions/setup-python@v4 (#490) update actions/setup-python@v2 to actions/setup-python@v4 * Update build_push.yaml: deprecate set-output (#491) * Update build_push.yaml: deprecate set-output update workflow to use $GITHUB_OUTPUT instead of set-output. See: https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/ * Update build_push.yaml: update syntax * Update build_push.yaml: update syntax for interpolation * Update build_push.yaml: change notebook name variable name * update remaining set-output commands * Update Makefile: reset set-output commands for Makefile Github Actions was complaining about set-output in the Makefile but I think we have to leave these lines alone since they are used by Make and not by Github Actions. * Update Makefile (#508) * update set-output to GITHUB_OUTPUT (#501) * update set-output to GITHUB_OUTPUT * feat(workflows): integrate hadolint (dockle failed) (#500) * feat(workflow): leverage hadolint * Remove minio (#522) --------- Co-authored-by: Jose Manuel (Ito) <[email protected]> Co-authored-by: Wendy Gaultier <[email protected]>
* update base image and fix errors * Update 6_remote-desktop.Dockerfile: remove light-locker The light-locker removal command was failing, as light-locker was not installed... so I removed the removal command but when I launch the container on Kubeflow... the screen is locked. * make generate-dockerfiles * trigger CI/CD * remove light-locker later in build process the screen is still locking. :-/ * remove xfce4-screensaver the screen is still locking. :-/ * test(pspp): French UI Test PSPP from Ubuntu Repo to make sure French UI is shown. Remove installer script and update Dockerfile. * add apt-get update * remove pspp.sh * remove pspp.sh * Update build_push.yaml: actions/setup-python@v4 (#490) update actions/setup-python@v2 to actions/setup-python@v4 * Update build_push.yaml: deprecate set-output (#491) * Update build_push.yaml: deprecate set-output update workflow to use $GITHUB_OUTPUT instead of set-output. See: https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/ * Update build_push.yaml: update syntax * Update build_push.yaml: update syntax for interpolation * Update build_push.yaml: change notebook name variable name * update remaining set-output commands * Update Makefile: reset set-output commands for Makefile Github Actions was complaining about set-output in the Makefile but I think we have to leave these lines alone since they are used by Make and not by Github Actions. * Update Makefile (#508) * Update rstudio.desktop: /usr/bin/rstudio The previously set location no longer exists. * Update 6_rstudio.Dockerfile: update Rstudio version I've updated rstudio-server to a (hopefully) compatible version. * make generate-dockerfiles * downgrade: rstudio-desktop to 2023.06.0-421 * update(r-studio-desktop.sh): sha256 * update(Rprofile.site): dev repo * update(Rprofile.site): reset R repo * update(6_rstudio): mkdir -p /etc/rstudio builds were failing because this dir did not exist * update set-output to GITHUB_OUTPUT (#501) * update set-output to GITHUB_OUTPUT * create(6_rstudio-server.Dockerfile) * update(6_rstudio): mkdir -p /etc/rstudio * update(0_cpu, 0_cpu_sas): BASE_VERSION=2023-08-07 * update(6_rstudio): remove tidymodels, causing test to fail * update(test_packages): add tidymodels to exclude list * update(test_packages): add more to exclusion list * update(CUDA): update ubuntu1804 to ubuntu2204 * update(test_packages): tidymodels ==> r-tidymodels * update(test_packages): comment out two jupyterlab extensions * update(jupyterlab): jupyterlab-git==0.42.0 * update(jupyterlab): update packages and vscode * update(jupyterlab): refactor dockerfile - switch from conda to mamba - switch some conda statements to pip * make generate-dockerfiles * downgrade tidymodels to 1.0.0 We'll have to wait until the rstudio image is based on R 4.3 before we can upgrade to tidymodels==1.1.0 * Update Makefile: remove buildkit=0 remove buildkit=0 * update (0_Rocker, r-studio-desktop): 2023.06.2-561 * update rstudio-server: 2023.06.2-561 * update(PR): based on comments * update(jupyterlab): jupyter-dash caused build fail so I tried removing the version pinning, it wasn't breaking before so I'm not sure what changed. * update(rstudio): remove pin on tidymodels since it breaks on the newer versions of R but we don't have a consistent version of R across images so it might be helpful to unpin tidymodels so we can let the system resolve a compatible version. * update(get-nvidia-stuff): 1804 to 2204 * Downgrade remote desktop (#519) * revert(remote-desktop): to previous working state * update(r-studio-desktop): revert installer * update(PR): based on comments * update(jupyterlab): jupyter-dash caused build fail so I tried removing the version pinning, it wasn't breaking before so I'm not sure what changed. * update(rstudio): remove pin on tidymodels since it breaks on the newer versions of R but we don't have a consistent version of R across images so it might be helpful to unpin tidymodels so we can let the system resolve a compatible version. * update(get-nvidia-stuff): 1804 to 2204 * Update Dockerfile --------- Co-authored-by: Bryan Paget <[email protected]> * make generate-dockerfiles * update branch (#524) * Update build_push.yaml: actions/setup-python@v4 (#490) update actions/setup-python@v2 to actions/setup-python@v4 * Update build_push.yaml: deprecate set-output (#491) * Update build_push.yaml: deprecate set-output update workflow to use $GITHUB_OUTPUT instead of set-output. See: https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/ * Update build_push.yaml: update syntax * Update build_push.yaml: update syntax for interpolation * Update build_push.yaml: change notebook name variable name * update remaining set-output commands * Update Makefile: reset set-output commands for Makefile Github Actions was complaining about set-output in the Makefile but I think we have to leave these lines alone since they are used by Make and not by Github Actions. * Update Makefile (#508) * update set-output to GITHUB_OUTPUT (#501) * update set-output to GITHUB_OUTPUT * feat(workflows): integrate hadolint (dockle failed) (#500) * feat(workflow): leverage hadolint * Remove minio (#522) --------- Co-authored-by: Jose Manuel (Ito) <[email protected]> Co-authored-by: Wendy Gaultier <[email protected]> * revert(6_jupyterlab): revert digression * make generate-dockerfiles * Update 6_jupyterlab.Dockerfile Fix issue with JupyterLab extensions * Update 6_rstudio.Dockerfile: remove tidymodels Tidymodels is a troublesome package, will leave to the user to install, if needed. * make generate-dockerfiles * update(jupyterlab): 4.0.5 I was getting errors saying xxx extension needs to be included in build. * update(jupyterlab): 4.0.5 I was getting errors saying xxx extension needs to be included in build. * update(jupyterlab): 4.0.5 I was getting errors saying xxx extension needs to be included in build. * update(jupyterlab): fix extensions I reworked the package install script to use fewer RUN blocks. I also discovered jupyter_contrib_nbextensions prefers pip over mamba. Local testing suggests I've stopped the jupyterlab build errors. * update(test_packages): add jupyter ext to exclude list I added pillow and pyyaml to the exclude list since they are not imported by name (e.g. import pil, import yaml). * Make torch available (#520) * update(pytorch): remove virtual env * update(pytorch): remove virtual env * update(cpu, pytorch): mamba install pytorch to base * update(pytorch): adjust torch installation * update(pytorch): add ipykernel and conda env * update(pytorch): remove CUDA The PyTorch install command includes CUDA drivers, so I'll try installing those instead of our custom install script. * update(pytorch): add ipykernel * update(pytorch): add gputil gputil has nvidia-smi * update(tensorflow): add cuda to mamba command I also tweaked the pytorch image to use mamba for the clean command * update(tensorflow): add cuda to mamba command I also tweaked the pytorch image to use mamba for the clean command * update(tensorflow): remove tensorflow-gpu tensorflow works for both gpu and cpu * update(gpu-notebooks): remove conda env tensorflow tests are failing, I think they expect tensorflow to be installed in the base env, which is what I prefer, so I'll move pytorch into the base env as well. * update(cpu, pytorch, tensorflow): consistency * update(test_tensorflow): use tensorflow env * update(test_packages): add gputil to exclude list * update(test_packages): add cudnn, cudatoolkit to exclude list * update(pytorch, tensorflow): ipykernel install * revert(cpu): fix cpu conda env * update(tests): gpu available * update(makefile): restore tensorflow build * update(tests): remove GPU test Github Actions won't have a GPU * update(jupyterlab): jupyter-dash caused build fail so I tried removing the version pinning, it wasn't breaking before so I'm not sure what changed. * update(PR): based on comments * update(rstudio): remove pin on tidymodels since it breaks on the newer versions of R but we don't have a consistent version of R across images so it might be helpful to unpin tidymodels so we can let the system resolve a compatible version. * update(get-nvidia-stuff): 1804 to 2204 * revert(2_tensorflow): prev working configuration * update(0_Rocker): remove whitespace delta * update(2_tensorflow): new line * Update test_tensorflow.py: revert test We are not yet using a Tensorflow conda env. --------- Co-authored-by: Bryan Paget <[email protected]> * Update test_packages.py: add missing comma * Jupyterlab openmpp poc (#518) * feat: install openmpp as jupyterlab service * fix: generate dockerfiles * chore: trigger auto-deploy * fix: copy oms startup script * fix: copy script in correct docker bit * fix: make script executable * fix: update openm version, fix config * fix: sync issue * fix: prepare openmpp config for prod deployment * fix: move config to start-oms script * Jupyterlab openmpp poc (#518) (#527) * feat: install openmpp as jupyterlab service * fix: generate dockerfiles * chore: trigger auto-deploy * fix: copy oms startup script * fix: copy script in correct docker bit * fix: make script executable * fix: update openm version, fix config * fix: sync issue * fix: prepare openmpp config for prod deployment * fix: move config to start-oms script Co-authored-by: Pat Ledgerwood <[email protected]> * Jupyterlab openmpp poc (#518) (#528) * feat: install openmpp as jupyterlab service * fix: generate dockerfiles * chore: trigger auto-deploy * fix: copy oms startup script * fix: copy script in correct docker bit * fix: make script executable * fix: update openm version, fix config * fix: sync issue * fix: prepare openmpp config for prod deployment * fix: move config to start-oms script Co-authored-by: Pat Ledgerwood <[email protected]> * update(jupyterlab): add --openssl-legacy-provider npm build ompp-ui was failing, adding --openssl-legacy-provider to the build command resolved the issue. * update(jupyterlab): add ARG NODE_OPTIONS npm build ompp-ui was failing, adding --openssl-legacy-provider to the build command resolved the issue locally but breaks on Github Actions, will try ARG NODE_OPTIONS=--openssl-legacy-provider. --------- Co-authored-by: Bryan Paget <[email protected]> Co-authored-by: Jose Manuel (Ito) <[email protected]> Co-authored-by: Wendy Gaultier <[email protected]> Co-authored-by: Pat Ledgerwood <[email protected]>
@vexingly discovered the version of Docker that Github Actions uses was updated right before our builds started failing.
Runner
For the successful builds before August 04th 2023, we have the following image version:
And when the builds started failing, we have a new version of the runner (still based on Ubuntu 22.04):
Docker
For the older, successful runs:
The newer, failed runs:
Docker Engine API Changes
The changelog (https://docs.docker.com/engine/api/version-history/) included the following entry which gave @vexingly the insight to try rolling back the builder to the previous version.
Resolution
Add
DOCKER_BUILDKIT=0
todocker build
command in theMakefile
to disable BuildKit,DOCKER_BUILDKIT=0 docker build $(DARGS) --rm --force-rm -t $$IMAGE_NAME ./output/$(notdir $@)