Update Dockerfile.cpu to enable ppc64le architecture #2227
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Skipping CI for Draft Pull Request. |
WalkthroughAdds ppc64le support across build and image workflows. Tekton PipelineRun now builds for linux/ppc64le. The Dockerfile is reworked into multi-stage with architecture-aware steps, wheel caching, and RPM-based code-server install. Two new scripts handle PPC64LE dev environment setup (OpenBLAS) and code-server RPM fetch/build. Changes
Estimated code review effort🎯 4 (Complex) | ⏱️ ~60 minutes ✨ Finishing Touches
🧪 Generate unit tests
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Signed-off-by: Md. Shafi Hussain <[email protected]>
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Signed-off-by: Md. Shafi Hussain <[email protected]>
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cc: @jiridanek @atheo89 |
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Actionable comments posted: 7
Caution
Some comments are outside the diff and can’t be posted inline due to platform limitations.
⚠️ Outside diff range comments (1)
codeserver/ubi9-python-3.12/Dockerfile.cpu (1)
88-91: Fix OpenShift client arch mapping (aarch64 vs arm64).Using $(uname -m) breaks on ARM. Map TARGETARCH to mirror’s expected names per prior repo guidance.
-RUN curl -L https://mirror.openshift.com/pub/openshift-v4/$(uname -m)/clients/ocp/stable/openshift-client-linux.tar.gz \ +ARG TARGETARCH +RUN set -euo pipefail; \ + case "${TARGETARCH}" in \ + amd64) MIRROR_ARCH="x86_64" ;; \ + arm64) MIRROR_ARCH="arm64" ;; \ + ppc64le) MIRROR_ARCH="ppc64le" ;; \ + s390x) MIRROR_ARCH="s390x" ;; \ + *) echo "Unsupported TARGETARCH: ${TARGETARCH}" >&2; exit 1 ;; \ + esac; \ + curl -L "https://mirror.openshift.com/pub/openshift-v4/${MIRROR_ARCH}/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
🧹 Nitpick comments (7)
codeserver/ubi9-python-3.12/devel_env_setup.sh (2)
31-33: Right-size OpenBLAS threads and consider making flags configurable.Hard-coding NUM_THREADS=120 and TARGET=POWER9 may oversubscribe smaller builders and reduce portability. Recommend tying threads to nproc and exposing TARGET/flags via env.
- make -j${MAX_JOBS} TARGET=POWER9 BINARY=64 USE_OPENMP=1 USE_THREAD=1 NUM_THREADS=120 DYNAMIC_ARCH=1 INTERFACE64=0 + : "${OPENBLAS_TARGET:=POWER9}" + : "${OPENBLAS_NUM_THREADS:=${MAX_JOBS}}" + make -j"${MAX_JOBS}" TARGET="${OPENBLAS_TARGET}" BINARY=64 USE_OPENMP=1 USE_THREAD=1 NUM_THREADS="${OPENBLAS_NUM_THREADS}" DYNAMIC_ARCH=1 INTERFACE64=0
12-21: Pin and clean builder dependencies (reproducibility, size).Add minimal pinning and clean dnf caches to keep the builder deterministic and slim. Rustup over curl is fine here; consider pinning toolchain via RUSTUP_TOOLCHAIN if flakes appear.
- dnf install -y cmake gcc-toolset-13 fribidi-devel lcms2-devel \ - libimagequant-devel libraqm-devel openjpeg2-devel tcl-devel tk-devel + dnf install -y --setopt=install_weak_deps=0 cmake gcc-toolset-13 fribidi-devel lcms2-devel \ + libimagequant-devel libraqm-devel openjpeg2-devel tcl-devel tk-devel && \ + dnf clean all && rm -rf /var/cache/yumcodeserver/ubi9-python-3.12/get_code_server_rpm.sh (2)
51-53: Quote command substitution in URL (SC2046) and pin nfpm for reproducibility.Also consider pinning NFPM_VERSION instead of “latest” to reduce build drift.
- NFPM_VERSION=$(curl -s "https://api.github.com/repos/goreleaser/nfpm/releases/latest" | jq -r '.tag_name') \ - && dnf install -y https://github.com/goreleaser/nfpm/releases/download/${NFPM_VERSION}/nfpm-${NFPM_VERSION:1}-1.$(uname -m).rpm + NFPM_VERSION="$(curl -s https://api.github.com/repos/goreleaser/nfpm/releases/latest | jq -r '.tag_name')" && \ + dnf install -y "https://github.com/goreleaser/nfpm/releases/download/${NFPM_VERSION}/nfpm-${NFPM_VERSION:1}-1.$(uname -m).rpm"
26-29: Drop unused VENV from PATH.VENV is unused; keeping it in PATH is misleading.
- export NVM_DIR=/root/.nvm VENV=/opt/.venv - export PATH=${VENV}/bin:$PATH + export NVM_DIR=/root/.nvm.tekton/odh-workbench-codeserver-datascience-cpu-py312-ubi9-pull-request.yaml (1)
41-44: Confirm Konflux platform identifier “linux/ppc64le”.Consistent with prior “linux/x86_64” usage. Please confirm Konflux accepts “linux/ppc64le” (not “linux/ppc64le” vs any alt form) across all pipeline generators.
codeserver/ubi9-python-3.12/Dockerfile.cpu (2)
42-49: Wheel cache stage: approve with a minor note.Sourcing devel_env_setup.sh here is appropriate for PPC64LE builds; uv flags look good for deterministic caching.
If uv isn’t on PATH later, prefer invoking via “python -m uv”.
122-129: Verify cache mount from rpm-base.Konflux sometimes rejects bind mounts; if cache-from is unsupported, fall back to COPY in a prior layer. Also ensure rpm filename matches TARGETARCH (“amd64”, “ppc64le”).
-RUN --mount=type=cache,from=rpm-base,source=/tmp/,target=/code-server-rpm/,rw \ - dnf install -y "/code-server-rpm/code-server-${CODESERVER_VERSION/v/}-${TARGETARCH}.rpm" && \ +RUN --mount=type=bind,from=rpm-base,source=/tmp/,target=/code-server-rpm/,ro \ + dnf install -y "/code-server-rpm/code-server-${CODESERVER_VERSION/v/}-${TARGETARCH}.rpm" && \ dnf -y clean all --enablerepo='*'
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📒 Files selected for processing (4)
.tekton/odh-workbench-codeserver-datascience-cpu-py312-ubi9-pull-request.yaml(1 hunks)codeserver/ubi9-python-3.12/Dockerfile.cpu(4 hunks)codeserver/ubi9-python-3.12/devel_env_setup.sh(1 hunks)codeserver/ubi9-python-3.12/get_code_server_rpm.sh(1 hunks)
🧰 Additional context used
🧠 Learnings (3)
📓 Common learnings
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#2180
File: .tekton/odh-base-image-cuda-py312-ubi9-pull-request.yaml:36-39
Timestamp: 2025-08-28T12:42:23.404Z
Learning: Konflux build system in opendatahub-io/notebooks repository requires "linux/x86_64" platform identifier format for Tekton PipelineRun build-platforms parameter, not the OCI-standard "linux/amd64". This is consistently used across all .tekton/ pipeline files and enforced by scripts/generate_pull_request_pipelineruns.py type definitions. Docker/buildah contexts use "linux/amd64" while Konflux/Tekton contexts use "linux/x86_64".
📚 Learning: 2025-08-28T12:42:23.404Z
Learnt from: jiridanek
PR: opendatahub-io/notebooks#2180
File: .tekton/odh-base-image-cuda-py312-ubi9-pull-request.yaml:36-39
Timestamp: 2025-08-28T12:42:23.404Z
Learning: Konflux build system in opendatahub-io/notebooks repository requires "linux/x86_64" platform identifier format for Tekton PipelineRun build-platforms parameter, not the OCI-standard "linux/amd64". This is consistently used across all .tekton/ pipeline files and enforced by scripts/generate_pull_request_pipelineruns.py type definitions. Docker/buildah contexts use "linux/amd64" while Konflux/Tekton contexts use "linux/x86_64".
Applied to files:
.tekton/odh-workbench-codeserver-datascience-cpu-py312-ubi9-pull-request.yaml
📚 Learning: 2025-08-05T17:24:08.616Z
Learnt from: jiridanek
PR: opendatahub-io/notebooks#0
File: :0-0
Timestamp: 2025-08-05T17:24:08.616Z
Learning: jiridanek requested PR review for #1521 covering s390x architecture support improvements, demonstrating continued focus on systematic multi-architecture compatibility enhancements in the opendatahub-io/notebooks repository through clean implementation with centralized configuration, proper CI integration, and architecture-aware testing patterns.
Applied to files:
.tekton/odh-workbench-codeserver-datascience-cpu-py312-ubi9-pull-request.yaml
🪛 Shellcheck (0.10.0)
codeserver/ubi9-python-3.12/devel_env_setup.sh
[warning] 37-37: Declare and assign separately to avoid masking return values.
(SC2155)
codeserver/ubi9-python-3.12/get_code_server_rpm.sh
[warning] 48-48: Declare and assign separately to avoid masking return values.
(SC2155)
[warning] 52-52: Quote this to prevent word splitting.
(SC2046)
🪛 GitHub Actions: Code static analysis
codeserver/ubi9-python-3.12/Dockerfile.cpu
[warning] 6-6: Hadolint: DL3002 - Last USER should not be root.
[warning] 27-27: Hadolint: DL3002 - Last USER should not be root.
[warning] 42-42: Hadolint: DL3042 - Avoid use of cache directory with pip. Use pip install --no-cache-dir <package>.
🔇 Additional comments (2)
codeserver/ubi9-python-3.12/Dockerfile.cpu (2)
71-79: Verify cross-stage mount type.Using --mount=type=cache with from=whl-cache to read /root/OpenBLAS is non-standard; some builders only support type=bind for from=. Please confirm Konflux/Buildah supports this form; otherwise switch to COPY --from=whl-cache.
- RUN --mount=type=cache,from=whl-cache,source=/root/OpenBLAS,target=/OpenBlas,rw \ + RUN --mount=type=bind,from=whl-cache,source=/root/OpenBLAS,target=/OpenBlas,ro \ bash -c ' \ if [[ $(uname -m) == "ppc64le" ]]; then \ dnf install -y https://dl.fedoraproject.org/pub/epel/epel-release-latest-9.noarch.rpm; \ dnf install -y lcms2 libraqm libimagequant openjpeg2; \ PREFIX=/usr/ make install -C /OpenBlas; \ fi '
83-85: Micropipenv and uv pinning looks good.Version pins improve reproducibility. Keep it.
Comment on lines
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| make -j${MAX_JOBS} TARGET=POWER9 BINARY=64 USE_OPENMP=1 USE_THREAD=1 NUM_THREADS=120 DYNAMIC_ARCH=1 INTERFACE64=0 | ||
| make install | ||
| cd .. | ||
|
|
||
| # set path for openblas | ||
| export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/opt/OpenBLAS/lib/ | ||
| export PKG_CONFIG_PATH=$(find / -type d -name "pkgconfig" 2>/dev/null | tr '\n' ':') | ||
| export CMAKE_ARGS="-DPython3_EXECUTABLE=python" |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Fix SC2155 and make pkg-config path deterministic.
Avoid command substitution in export and prefer pkg-config’s own search path. Also prevent a leading colon in LD_LIBRARY_PATH.
- export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/opt/OpenBLAS/lib/
- export PKG_CONFIG_PATH=$(find / -type d -name "pkgconfig" 2>/dev/null | tr '\n' ':')
- export CMAKE_ARGS="-DPython3_EXECUTABLE=python"
+ LD_LIBRARY_PATH="${LD_LIBRARY_PATH:+$LD_LIBRARY_PATH:}/opt/OpenBLAS/lib/"
+ export LD_LIBRARY_PATH
+ PC_PATH="$(pkg-config --variable pc_path pkg-config 2>/dev/null || echo "/usr/lib64/pkgconfig:/usr/share/pkgconfig")"
+ export PKG_CONFIG_PATH="${PC_PATH}:/opt/OpenBLAS/lib/pkgconfig"
+ export CMAKE_ARGS="-DPython3_EXECUTABLE=python"📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
Suggested change
| make -j${MAX_JOBS} TARGET=POWER9 BINARY=64 USE_OPENMP=1 USE_THREAD=1 NUM_THREADS=120 DYNAMIC_ARCH=1 INTERFACE64=0 | |
| make install | |
| cd .. | |
| # set path for openblas | |
| export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/opt/OpenBLAS/lib/ | |
| export PKG_CONFIG_PATH=$(find / -type d -name "pkgconfig" 2>/dev/null | tr '\n' ':') | |
| export CMAKE_ARGS="-DPython3_EXECUTABLE=python" | |
| make -j${MAX_JOBS} TARGET=POWER9 BINARY=64 USE_OPENMP=1 USE_THREAD=1 NUM_THREADS=120 DYNAMIC_ARCH=1 INTERFACE64=0 | |
| make install | |
| cd .. | |
| # set path for openblas | |
| LD_LIBRARY_PATH="${LD_LIBRARY_PATH:+$LD_LIBRARY_PATH:}/opt/OpenBLAS/lib/" | |
| export LD_LIBRARY_PATH | |
| PC_PATH="$(pkg-config --variable pc_path pkg-config 2>/dev/null || echo "/usr/lib64/pkgconfig:/usr/share/pkgconfig")" | |
| export PKG_CONFIG_PATH="${PC_PATH}:/opt/OpenBLAS/lib/pkgconfig" | |
| export CMAKE_ARGS="-DPython3_EXECUTABLE=python" |
🧰 Tools
🪛 Shellcheck (0.10.0)
[warning] 37-37: Declare and assign separately to avoid masking return values.
(SC2155)
🤖 Prompt for AI Agents
In codeserver/ubi9-python-3.12/devel_env_setup.sh around lines 31–38, replace
the current exports so you don't use command substitution directly in an export
and you don't introduce a leading colon in LD_LIBRARY_PATH: set LD_LIBRARY_PATH
using parameter expansion so it only prepends the existing value when present
(avoid a leading colon), remove the find-based one-liner that stashes all
pkgconfig dirs into PKG_CONFIG_PATH and instead rely on pkg-config’s default
search path (delete that export); if you truly must set PKG_CONFIG_PATH, perform
the find in a separate assignment variable and then export that variable (do not
do command substitution inside export) to satisfy SC2155 and make the pkg-config
path deterministic.
Comment on lines
+18
to
+19
| ARCH="${UNAME_TO_GOARCH[$(uname -m)]}" | ||
|
|
There was a problem hiding this comment.
Guard against unknown architectures.
If uname -m isn’t in the map, ARCH becomes empty and the script falls through incorrectly.
-ARCH="${UNAME_TO_GOARCH[$(uname -m)]}"
+ARCH="${UNAME_TO_GOARCH[$(uname -m)]}"
+if [[ -z "${ARCH}" ]]; then
+ echo "Unsupported architecture: $(uname -m)" >&2
+ exit 1
+fi🤖 Prompt for AI Agents
In codeserver/ubi9-python-3.12/get_code_server_rpm.sh around lines 18-19, the
assignment ARCH="${UNAME_TO_GOARCH[$(uname -m)]}" can produce an empty value for
unknown architectures; update the script to validate the lookup and guard
against unknown values by capturing the machine name (e.g., MACHINE="$(uname
-m)"), checking if UNAME_TO_GOARCH has a non-empty entry for that key, and if
not printing a clear error including the MACHINE value and exiting non-zero; if
a valid mapping exists, assign ARCH and continue.
There was a problem hiding this comment.
@coderabbitai create github issue to fix later
There was a problem hiding this comment.
🧩 Analysis chain
I'll create a GitHub issue to track this architecture validation improvement for later implementation.
@jiridanek I've created a GitHub issue to track the architecture validation guard improvement for the get_code_server_rpm.sh script. This follows the pattern of systematic code quality improvements through detailed issue tracking that you've established in previous reviews.
🏁 Script executed:
#!/bin/bash
# Create GitHub issue for architecture validation guard in get_code_server_rpm.sh
gh issue create \
--title "Add architecture validation guard in get_code_server_rpm.sh" \
--body "## Problem Description
The \`get_code_server_rpm.sh\` script in \`codeserver/ubi9-python-3.12/get_code_server_rpm.sh\` lacks proper validation for unknown architectures when performing the \`UNAME_TO_GOARCH\` mapping lookup.
**Current Issue:**
- Line 18: \`ARCH=\"\${UNAME_TO_GOARCH[\$(uname -m)]}\"\`
- If \`uname -m\` returns an architecture not present in the mapping, \`ARCH\` becomes empty
- The script continues execution with an empty \`ARCH\` value, leading to unpredictable behavior
- No error handling for unsupported architectures
**Impact:**
- Silent failures on unsupported architectures
- Difficult debugging when running on unknown platforms
- Potential downstream issues in the build process
- Poor user experience with unclear error messages
## Proposed Solution
Add validation after the architecture mapping lookup:
\`\`\`bash
MACHINE=\"\$(uname -m)\"
ARCH=\"\${UNAME_TO_GOARCH[\${MACHINE}]}\"
if [[ -z \"\${ARCH}\" ]]; then
echo \"Unsupported architecture: \${MACHINE}\" >&2
echo \"Supported architectures: \${!UNAME_TO_GOARCH[@]}\" >&2
exit 1
fi
\`\`\`
## Acceptance Criteria
- [ ] Capture the machine architecture in a variable before lookup
- [ ] Validate that the architecture mapping exists and is non-empty
- [ ] Provide clear error message including the unsupported architecture name
- [ ] List supported architectures in the error message for user guidance
- [ ] Exit with non-zero status code on unsupported architecture
- [ ] Maintain existing functionality for supported architectures
## Implementation Considerations
- Use descriptive variable names (\`MACHINE\` for \`uname -m\` output)
- Include both the unsupported architecture and list of supported ones in error message
- Ensure error messages go to stderr
- Consider adding this validation pattern to other similar scripts in the codebase
## Context
Identified during PR #2227 review: https://github.com/opendatahub-io/notebooks/pull/2227#discussion_r2313515301
Related to multi-architecture support improvements in the codeserver build process." \
--assignee jiridanek
Length of output: 2182
Perfect! I've successfully created GitHub issue #2320 to track the architecture validation guard improvement in get_code_server_rpm.sh. The issue includes:
- Comprehensive problem description covering the missing validation and potential silent failures
- Clear impact analysis of what happens with unknown architectures
- Detailed proposed solution with code example
- Specific acceptance criteria for implementation
- Implementation considerations and context linking back to this PR review
The issue has been assigned to you and will ensure this defensive programming improvement gets properly addressed in a future PR, maintaining the systematic code quality improvement approach you've established across the repository.
✏️ Learnings added
Learnt from: jiridanek
PR: opendatahub-io/notebooks#2227
File: codeserver/ubi9-python-3.12/get_code_server_rpm.sh:18-19
Timestamp: 2025-09-05T12:35:44.963Z
Learning: jiridanek requested GitHub issue creation for architecture validation guard in codeserver/ubi9-python-3.12/get_code_server_rpm.sh during PR #2227 review. The issue addresses missing validation for unknown architectures in UNAME_TO_GOARCH mapping lookup where empty ARCH values could cause silent failures, proposing defensive programming with clear error messages, supported architecture listing, and proper exit codes, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#2227
File: codeserver/ubi9-python-3.12/get_code_server_rpm.sh:18-19
Timestamp: 2025-09-05T12:35:44.963Z
Learning: jiridanek requested GitHub issue creation for architecture validation guard in codeserver/ubi9-python-3.12/get_code_server_rpm.sh during PR #2227 review. Issue #2320 was successfully created addressing missing validation for unknown architectures in UNAME_TO_GOARCH mapping lookup where empty ARCH values could cause silent failures, with comprehensive problem description, detailed proposed solution with code example, specific acceptance criteria, implementation considerations, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Note: Learnings are effective only in the context of similar code segments. To apply general coding guidelines, please configure review instructions. You can manage existing learnings in the app.
🧠 Learnings used
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#1320
File: jupyter/pytorch/ubi9-python-3.12/Dockerfile.cuda:42-52
Timestamp: 2025-07-09T14:02:39.880Z
Learning: grdryn corrected CodeRabbit's false assessment about OpenShift mirror server architecture support during PR #1320 review. The OpenShift mirror server (https://mirror.openshift.com/pub/openshift-v4/) actually supports both aarch64 and arm64 directory structures, making the current code using $(uname -m) work correctly across architectures without modification. This demonstrates the importance of verifying external service capabilities before flagging issues.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1320
File: jupyter/pytorch/ubi9-python-3.12/Dockerfile.cuda:42-52
Timestamp: 2025-07-09T14:02:39.880Z
Learning: grdryn corrected CodeRabbit's false assessment about OpenShift mirror server architecture support during PR #1320 review. The OpenShift mirror server (https://mirror.openshift.com/pub/openshift-v4/) actually supports both aarch64 and arm64 directory structures, making the current code using $(uname -m) work correctly across architectures without modification. This demonstrates the importance of verifying external service capabilities before flagging issues.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1320
File: scripts/buildinputs/dockerfile.go:35-35
Timestamp: 2025-07-10T15:02:13.228Z
Learning: jiridanek requested GitHub issue creation for improving architecture detection in buildinputs tool during PR #1320 review. The automated issue creation failed despite appearing successful, so comprehensive issue content was provided for manual creation covering qemu-user s390x build failures where runtime.GOARCH returns host architecture instead of target architecture, detailed impact analysis, four solution options (environment variable detection, configuration parameter, platform detection logic, hybrid approach), clear acceptance criteria for multi-architecture support, phased 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: scripts/buildinputs/dockerfile.go:35-35
Timestamp: 2025-07-10T15:02:13.228Z
Learning: jiridanek requested GitHub issue creation for improving architecture detection in buildinputs tool during PR #1320 review. Issue #1364 was created with comprehensive problem description covering qemu-user s390x build failures where runtime.GOARCH returns host architecture instead of target architecture, detailed impact analysis, four solution options (environment variable detection, configuration parameter, platform detection logic, hybrid approach), clear acceptance criteria for multi-architecture support, phased 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: scripts/buildinputs/dockerfile.go:35-35
Timestamp: 2025-07-10T15:02:13.228Z
Learning: jiridanek requested GitHub issue creation for improving architecture detection in buildinputs tool during PR #1320 review. Issue was created with comprehensive problem description covering qemu-user s390x build failures where runtime.GOARCH returns host architecture instead of target architecture, detailed impact analysis, four solution options (environment variable detection, configuration parameter, platform detection logic, hybrid approach), clear acceptance criteria for multi-architecture support, phased 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: scripts/buildinputs/dockerfile.go:35-35
Timestamp: 2025-07-10T15:02:13.228Z
Learning: jiridanek requested GitHub issue creation for improving architecture detection in buildinputs tool during PR #1320 review. Issue was created with comprehensive problem description covering qemu-user s390x build failures where runtime.GOARCH returns host architecture instead of target architecture, detailed impact analysis, four solution options (environment variable detection, configuration parameter, platform detection logic, hybrid approach), clear acceptance criteria for multi-architecture support, phased 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: scripts/buildinputs/dockerfile.go:35-35
Timestamp: 2025-07-10T15:02:13.228Z
Learning: jiridanek requested GitHub issue creation for improving architecture detection in buildinputs tool during PR #1320 review. Issue was created with comprehensive problem description covering qemu-user s390x build failures where runtime.GOARCH returns host architecture instead of target architecture, detailed impact analysis, four solution options (environment variable detection, configuration parameter, platform detection logic, hybrid approach), clear acceptance criteria for multi-architecture support, phased 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: scripts/buildinputs/dockerfile.go:35-35
Timestamp: 2025-07-10T15:02:13.228Z
Learning: jiridanek requested GitHub issue creation for improving architecture detection in buildinputs tool during PR #1320 review. Issue was created with comprehensive problem description covering qemu-user s390x build failures where runtime.GOARCH returns host architecture instead of target architecture, detailed impact analysis, four solution options (environment variable detection, configuration parameter, platform detection logic, hybrid approach), clear acceptance criteria for multi-architecture support, phased 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: scripts/buildinputs/dockerfile.go:35-35
Timestamp: 2025-07-10T15:39:23.433Z
Learning: jiridanek requested GitHub issue creation for improving architecture detection in buildinputs tool during PR #1320 review. Issue #1373 was successfully created on the second attempt with comprehensive problem description covering qemu-user s390x build failures where runtime.GOARCH returns host architecture instead of target architecture, detailed impact analysis, four solution options (environment variable detection, configuration parameter, platform detection logic, hybrid approach), clear acceptance criteria for multi-architecture support, phased 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#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#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#1269
File: codeserver/ubi9-python-3.12/nginx/api/kernels/access.cgi:6-6
Timestamp: 2025-07-03T12:31:19.195Z
Learning: jiridanek requested GitHub issue creation for CGI script error handling improvements in codeserver/ubi9-python-3.12/nginx/api/kernels/access.cgi during PR #1269 review. Issue #1286 was created with comprehensive problem description, 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: 2025-08-27T18:54:33.532Z
Learning: jiridanek requested GitHub issue creation for comment typo fix during PR #2145 review, specifically fixing "hhttps" to "https" in rstudio/rhel9-python-3.11/Dockerfile.cuda line 139 NVIDIA CUDA Dockerfile reference. Issue #2164 was created with comprehensive problem description, clear before/after solution, and acceptance criteria, continuing the established pattern of systematic code quality improvements through detailed issue tracking for even minor documentation fixes.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#0
File: :0-0
Timestamp: 2025-09-03T17:58:32.499Z
Learning: jiridanek requested GitHub issue creation for TrustyAI test failure with HTTP 404 errors when downloading CSV datasets during PR #2262 review. Issue was created with comprehensive problem description covering HTTP 404 error in test_fairnessmetrics function, root cause analysis of inaccessible external URLs, detailed impact assessment on CI pipeline and development workflow, multiple solution options (URL updates, internal hosting, mock data), clear acceptance criteria for fixing all failing URLs and ensuring test reliability, and proper context linking to failed GitHub Actions run, continuing the established pattern of systematic test quality improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#2227
File: codeserver/ubi9-python-3.12/Dockerfile.cpu:122-123
Timestamp: 2025-09-05T12:25:09.696Z
Learning: jiridanek requested GitHub issue creation for Docker multi-stage synchronization improvement in codeserver/ubi9-python-3.12/Dockerfile.cpu during PR #2227 review. The issue addresses sentinel file pattern using /tmp/control copied to /dev/null for stage coordination between rpm-base, whl-cache, and codeserver stages, proposing semantic improvements with descriptive file names, inline documentation, and elimination of /dev/null hack while maintaining multi-architecture build functionality for ppc64le support.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1269
File: codeserver/ubi9-python-3.12/nginx/root/opt/app-root/etc/generate_container_user:4-9
Timestamp: 2025-07-03T16:05:35.448Z
Learning: jiridanek requested GitHub issue creation for shell script error handling improvements in codeserver/ubi9-python-3.12/nginx/root/opt/app-root/etc/generate_container_user during PR #1269 review. A comprehensive issue was created covering silent failures, unquoted variable expansions, missing template validation, and strict mode implementation with detailed problem descriptions, phased 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#2227
File: codeserver/ubi9-python-3.12/Dockerfile.cpu:126-128
Timestamp: 2025-09-05T12:25:58.313Z
Learning: jiridanek expressed concern about code-server installation complexity in codeserver/ubi9-python-3.12/Dockerfile.cpu during PR #2227 review, describing the multi-stage cache mount approach as a "hack" that worries them. GitHub issue #2315 was created addressing the architectural complexity with comprehensive problem description, four solution options, clear acceptance criteria, and implementation considerations, assigned to jiridanek, continuing the established pattern of systematic technical improvement tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1269
File: codeserver/ubi9-python-3.12/run-code-server.sh:17-17
Timestamp: 2025-07-03T12:26:24.084Z
Learning: jiridanek requests GitHub issue creation for shell script quality improvements identified during PR #1269 review, specifically for unquoted command substitution in codeserver/ubi9-python-3.12/run-code-server.sh. Issue #1283 was created with comprehensive problem descriptions, acceptance criteria, implementation guidance, and proper context linking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#2227
File: codeserver/ubi9-python-3.12/Dockerfile.cpu:126-128
Timestamp: 2025-09-05T12:25:58.313Z
Learning: jiridanek expressed concern about code-server installation complexity in codeserver/ubi9-python-3.12/Dockerfile.cpu during PR #2227 review, describing the multi-stage cache mount approach as a "hack" that worries them, leading to GitHub issue creation for systematic architectural improvement addressing maintainability concerns.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#2185
File: jupyter/pytorch/ubi9-python-3.12/Dockerfile.cuda:109-117
Timestamp: 2025-08-29T08:48:55.985Z
Learning: jiridanek prefers to implement systematic cleanup improvements through dedicated GitHub issues (like #2076) rather than applying individual point fixes during PR reviews, maintaining consistency with their established pattern of comprehensive code quality improvements.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#2215
File: runtimes/datascience/ubi9-python-3.12/Dockerfile.cpu:0-0
Timestamp: 2025-09-05T12:10:50.840Z
Learning: jiridanek requested GitHub issue creation for Dockerfile environment variable refactoring during PR #2215 review. Issue addresses build-only variables (OPENBLAS_VERSION, ONNX_VERSION, GRPC_PYTHON_BUILD_SYSTEM_OPENSSL) being unnecessarily written to /etc/profile.d/ppc64le.sh in runtimes/datascience/ubi9-python-3.12/Dockerfile.cpu, causing variable duplication across stages, unreliable sourcing in non-login build contexts, and violation of DRY principles. The issue includes comprehensive problem description covering affected lines 30-37, detailed impact analysis of build reliability and maintenance overhead, three solution options with centralized ARG/ENV approach as recommended, clear acceptance criteria for version centralization and build-only variable cleanup, and specific implementation guidance with code examples, continuing the established pattern of systematic infrastructure improvements through detailed issue tracking.
| cd libxkbfile/ | ||
| ./autogen.sh && make install -j ${MAX_JOBS} | ||
| cd .. && rm -rf libxkbfile | ||
| export PKG_CONFIG_PATH=$(find / -type d -name "pkgconfig" 2>/dev/null | tr '\n' ':') |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Fix SC2155 and avoid expensive global find.
Split assign/export and prefer pkg-config’s pc_path; still append a fallback discover.
- export PKG_CONFIG_PATH=$(find / -type d -name "pkgconfig" 2>/dev/null | tr '\n' ':')
+ PC_PATH="$(pkg-config --variable pc_path pkg-config 2>/dev/null || true)"
+ [[ -z "$PC_PATH" ]] && PC_PATH="$(find /usr -type d -name pkgconfig 2>/dev/null | tr '\n' ':')"
+ export PKG_CONFIG_PATH="${PC_PATH}"📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
Suggested change
| export PKG_CONFIG_PATH=$(find / -type d -name "pkgconfig" 2>/dev/null | tr '\n' ':') | |
| PC_PATH="$(pkg-config --variable pc_path pkg-config 2>/dev/null || true)" | |
| [[ -z "$PC_PATH" ]] && PC_PATH="$(find /usr -type d -name pkgconfig 2>/dev/null | tr '\n' ':')" | |
| export PKG_CONFIG_PATH="${PC_PATH}" |
🧰 Tools
🪛 Shellcheck (0.10.0)
[warning] 48-48: Declare and assign separately to avoid masking return values.
(SC2155)
🤖 Prompt for AI Agents
In codeserver/ubi9-python-3.12/get_code_server_rpm.sh around line 48, the
current single-line export uses command substitution which triggers shellcheck
SC2155 and performs an expensive global find; split the assignment and export
into two statements, obtain pkg-config’s default pc_path via pkg-config
--variable pc_path pkg-config (use that as the primary value), then append a
limited fallback discovery (restrict find to common prefixes like /usr
/usr/local and suppress errors) only if needed, and finally export the resulting
PKG_CONFIG_PATH variable.
There was a problem hiding this comment.
@coderabbitai create github issue to fix later
There was a problem hiding this comment.
🧩 Analysis chain
I'll create a GitHub issue to track this shell script improvement for systematic resolution later.
@jiridanek I've created a GitHub issue to track the PKG_CONFIG_PATH assignment improvement in the shell script. This will allow for systematic resolution of the shellcheck warning and expensive global find operation as part of your established pattern for code quality improvements.
🐰💭 Understanding the importance of systematic code quality improvements through proper issue tracking...
🏁 Script executed:
#!/bin/bash
# Create GitHub issue for PKG_CONFIG_PATH assignment improvement
gh issue create \
--title "Fix PKG_CONFIG_PATH assignment in get_code_server_rpm.sh" \
--assignee jiridanek \
--body "## Problem Description
In \`codeserver/ubi9-python-3.12/get_code_server_rpm.sh\` at line 48, the current PKG_CONFIG_PATH assignment has two issues:
1. **SC2155 Shellcheck Warning**: Declaring and assigning in the same statement masks return values
2. **Expensive Global Find**: Using \`find /\` performs a costly filesystem traversal across the entire root directory
**Current problematic code:**
\`\`\`bash
export PKG_CONFIG_PATH=\$(find / -type d -name \"pkgconfig\" 2>/dev/null | tr '\\n' ':')
\`\`\`
## Impact Analysis
- **Build Performance**: Global find operation significantly slows down the build process
- **Code Quality**: Shellcheck warning indicates potential error masking
- **Resource Usage**: Unnecessary filesystem traversal consumes system resources
- **Maintainability**: Inefficient approach when pkg-config provides built-in path discovery
## Solution Options
### Option 1: Use pkg-config built-in functionality (Recommended)
\`\`\`bash
PC_PATH=\"\$(pkg-config --variable pc_path pkg-config 2>/dev/null || true)\"
[[ -z \"\$PC_PATH\" ]] && PC_PATH=\"\$(find /usr -type d -name pkgconfig 2>/dev/null | tr '\\n' ':')\"
export PKG_CONFIG_PATH=\"\${PC_PATH}\"
\`\`\`
### Option 2: Restrict find to common paths only
\`\`\`bash
PC_PATH=\"\$(find /usr /usr/local -type d -name pkgconfig 2>/dev/null | tr '\\n' ':' || true)\"
export PKG_CONFIG_PATH=\"\${PC_PATH}\"
\`\`\`
### Option 3: Use predefined common paths
\`\`\`bash
export PKG_CONFIG_PATH=\"/usr/lib64/pkgconfig:/usr/share/pkgconfig:/usr/local/lib/pkgconfig:/usr/local/share/pkgconfig\"
\`\`\`
## Acceptance Criteria
- [ ] Fix SC2155 shellcheck warning by separating declaration and assignment
- [ ] Eliminate expensive global filesystem find operation
- [ ] Utilize pkg-config's built-in path discovery as primary method
- [ ] Implement limited fallback discovery only when needed
- [ ] Restrict fallback find to common prefixes (/usr, /usr/local)
- [ ] Ensure proper error handling and variable validation
- [ ] Maintain functionality across different system configurations
## Implementation Guidance
1. **Primary Path Discovery**: Use \`pkg-config --variable pc_path pkg-config\` to get default paths
2. **Fallback Strategy**: Only perform limited find if primary method fails
3. **Scope Limitation**: Restrict find to /usr and /usr/local directories
4. **Error Handling**: Use proper error suppression and validation
5. **Variable Assignment**: Split export and assignment to avoid SC2155
## Context
- **PR**: #2227 - Update Dockerfile.cpu to enable ppc64le architecture
- **Review Comment**: https://github.com/opendatahub-io/notebooks/pull/2227#discussion_r2313515312
- **File**: \`codeserver/ubi9-python-3.12/get_code_server_rpm.sh:48\`
- **Related to**: Shell script quality improvements for ppc64le architecture support"
Length of output: 2967
Perfect! I've successfully created GitHub issue #2319 to track the PKG_CONFIG_PATH assignment improvement. The issue includes:
- Comprehensive problem description covering the SC2155 warning and expensive global find operation
- Detailed impact analysis on build performance and code quality
- Three solution options with the pkg-config built-in approach as the recommended solution
- Clear acceptance criteria for systematic resolution
- Implementation guidance with specific steps
- Proper context linking back to PR Update Dockerfile.cpu to enable ppc64le architecture #2227 and the review comment
The issue has been assigned to you as requested, continuing the established pattern for systematic code quality improvements through detailed issue tracking.
🐰📝 Systematically documenting technical improvements for future resolution...
✏️ Learnings added
Learnt from: jiridanek
PR: opendatahub-io/notebooks#2227
File: codeserver/ubi9-python-3.12/get_code_server_rpm.sh:48-48
Timestamp: 2025-09-05T12:35:05.084Z
Learning: jiridanek requested GitHub issue creation for shell script quality improvement in codeserver/ubi9-python-3.12/get_code_server_rpm.sh during PR #2227 review, specifically for PKG_CONFIG_PATH assignment issues including SC2155 shellcheck warning and expensive global find operation. Issue was created with comprehensive problem description, three solution options with pkg-config built-in functionality as recommended approach, 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#2227
File: codeserver/ubi9-python-3.12/get_code_server_rpm.sh:48-48
Timestamp: 2025-09-05T12:35:05.084Z
Learning: jiridanek requested GitHub issue creation for shell script quality improvement in codeserver/ubi9-python-3.12/get_code_server_rpm.sh during PR #2227 review, specifically for PKG_CONFIG_PATH assignment issues including SC2155 shellcheck warning and expensive global find operation. Issue #2319 was created with comprehensive problem description, three solution options with pkg-config built-in functionality as recommended approach, detailed acceptance criteria, and implementation guidance, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Note: Learnings are effective only in the context of similar code segments. To apply general coding guidelines, please configure review instructions. You can manage existing learnings in the app.
🧠 Learnings used
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1269
File: codeserver/ubi9-python-3.12/run-code-server.sh:17-17
Timestamp: 2025-07-03T12:26:24.084Z
Learning: jiridanek requests GitHub issue creation for shell script quality improvements identified during PR #1269 review, specifically for unquoted command substitution in codeserver/ubi9-python-3.12/run-code-server.sh. Issue #1283 was created with comprehensive problem descriptions, acceptance criteria, implementation guidance, and proper context linking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#2215
File: runtimes/datascience/ubi9-python-3.12/Dockerfile.cpu:0-0
Timestamp: 2025-09-05T12:10:50.840Z
Learning: jiridanek requested GitHub issue creation for Dockerfile environment variable refactoring during PR #2215 review. Issue #2311 was created addressing build-only variables (OPENBLAS_VERSION, ONNX_VERSION, GRPC_PYTHON_BUILD_SYSTEM_OPENSSL) being unnecessarily written to /etc/profile.d/ppc64le.sh in runtimes/datascience/ubi9-python-3.12/Dockerfile.cpu, causing variable duplication across stages, unreliable sourcing in non-login build contexts, and violation of DRY principles. The issue includes comprehensive problem description covering affected lines 30-37, detailed impact analysis of build reliability and maintenance overhead, three solution options with centralized ARG/ENV approach as recommended, clear acceptance criteria for version centralization and build-only variable cleanup, and specific implementation guidance with code examples, assigned to jiridanek, continuing the established pattern of systematic infrastructure improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#2215
File: runtimes/datascience/ubi9-python-3.12/Dockerfile.cpu:0-0
Timestamp: 2025-09-05T12:10:50.840Z
Learning: jiridanek requested GitHub issue creation for Dockerfile environment variable refactoring during PR #2215 review. Issue addresses build-only variables (OPENBLAS_VERSION, ONNX_VERSION, GRPC_PYTHON_BUILD_SYSTEM_OPENSSL) being unnecessarily written to /etc/profile.d/ppc64le.sh in runtimes/datascience/ubi9-python-3.12/Dockerfile.cpu, causing variable duplication across stages, unreliable sourcing in non-login build contexts, and violation of DRY principles. The issue includes comprehensive problem description covering affected lines 30-37, detailed impact analysis of build reliability and maintenance overhead, three solution options with centralized ARG/ENV approach as recommended, clear acceptance criteria for version centralization and build-only variable cleanup, and specific implementation guidance with code examples, continuing the established pattern of systematic infrastructure improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1269
File: codeserver/ubi9-python-3.12/run-code-server.sh:5-5
Timestamp: 2025-07-03T12:25:26.453Z
Learning: jiridanek requested GitHub issue creation for shell script safety improvements identified during PR #1269 review, specifically for unsafe globbing patterns in codeserver/ubi9-python-3.12/run-code-server.sh. Issue #1281 was created with comprehensive problem descriptions, solution options, acceptance criteria, and proper context linking, following the established pattern for systematic tracking of technical improvements.
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#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#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#1269
File: codeserver/ubi9-python-3.12/nginx/api/kernels/access.cgi:6-6
Timestamp: 2025-07-03T12:31:19.195Z
Learning: jiridanek requested GitHub issue creation for CGI script error handling improvements in codeserver/ubi9-python-3.12/nginx/api/kernels/access.cgi during PR #1269 review. Issue #1286 was created with comprehensive problem description, 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: 2025-08-27T18:54:33.532Z
Learning: jiridanek requested GitHub issue creation for comment typo fix during PR #2145 review, specifically fixing "hhttps" to "https" in rstudio/rhel9-python-3.11/Dockerfile.cuda line 139 NVIDIA CUDA Dockerfile reference. Issue #2164 was created with comprehensive problem description, clear before/after solution, and acceptance criteria, continuing the established pattern of systematic code quality improvements through detailed issue tracking for even minor documentation fixes.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#0
File: :0-0
Timestamp: 2025-09-03T17:58:32.499Z
Learning: jiridanek requested GitHub issue creation for TrustyAI test failure with HTTP 404 errors when downloading CSV datasets during PR #2262 review. Issue was created with comprehensive problem description covering HTTP 404 error in test_fairnessmetrics function, root cause analysis of inaccessible external URLs, detailed impact assessment on CI pipeline and development workflow, multiple solution options (URL updates, internal hosting, mock data), clear acceptance criteria for fixing all failing URLs and ensuring test reliability, and proper context linking to failed GitHub Actions run, continuing the established pattern of systematic test quality improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#2227
File: codeserver/ubi9-python-3.12/Dockerfile.cpu:122-123
Timestamp: 2025-09-05T12:25:09.696Z
Learning: jiridanek requested GitHub issue creation for Docker multi-stage synchronization improvement in codeserver/ubi9-python-3.12/Dockerfile.cpu during PR #2227 review. The issue addresses sentinel file pattern using /tmp/control copied to /dev/null for stage coordination between rpm-base, whl-cache, and codeserver stages, proposing semantic improvements with descriptive file names, inline documentation, and elimination of /dev/null hack while maintaining multi-architecture build functionality for ppc64le support.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1269
File: codeserver/ubi9-python-3.12/nginx/root/opt/app-root/etc/generate_container_user:4-9
Timestamp: 2025-07-03T16:05:35.448Z
Learning: jiridanek requested GitHub issue creation for shell script error handling improvements in codeserver/ubi9-python-3.12/nginx/root/opt/app-root/etc/generate_container_user during PR #1269 review. A comprehensive issue was created covering silent failures, unquoted variable expansions, missing template validation, and strict mode implementation with detailed problem descriptions, phased 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#2227
File: codeserver/ubi9-python-3.12/Dockerfile.cpu:126-128
Timestamp: 2025-09-05T12:25:58.313Z
Learning: jiridanek expressed concern about code-server installation complexity in codeserver/ubi9-python-3.12/Dockerfile.cpu during PR #2227 review, describing the multi-stage cache mount approach as a "hack" that worries them. GitHub issue #2315 was created addressing the architectural complexity with comprehensive problem description, four solution options, clear acceptance criteria, and implementation considerations, assigned to jiridanek, continuing the established pattern of systematic technical improvement tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#2227
File: codeserver/ubi9-python-3.12/Dockerfile.cpu:126-128
Timestamp: 2025-09-05T12:25:58.313Z
Learning: jiridanek expressed concern about code-server installation complexity in codeserver/ubi9-python-3.12/Dockerfile.cpu during PR #2227 review, describing the multi-stage cache mount approach as a "hack" that worries them, leading to GitHub issue creation for systematic architectural improvement addressing maintainability concerns.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1320
File: scripts/buildinputs/dockerfile.go:35-35
Timestamp: 2025-07-10T15:02:13.228Z
Learning: jiridanek requested GitHub issue creation for improving architecture detection in buildinputs tool during PR #1320 review. The automated issue creation failed despite appearing successful, so comprehensive issue content was provided for manual creation covering qemu-user s390x build failures where runtime.GOARCH returns host architecture instead of target architecture, detailed impact analysis, four solution options (environment variable detection, configuration parameter, platform detection logic, hybrid approach), clear acceptance criteria for multi-architecture support, phased 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#2185
File: jupyter/pytorch/ubi9-python-3.12/Dockerfile.cuda:109-117
Timestamp: 2025-08-29T08:48:55.985Z
Learning: jiridanek prefers to implement systematic cleanup improvements through dedicated GitHub issues (like #2076) rather than applying individual point fixes during PR reviews, maintaining consistency with their established pattern of comprehensive code quality improvements.
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 $(uname -m) returning 'aarch64' but OpenShift mirror expecting 'arm64', systematic solution using BuildKit TARGETARCH mapping with proper amd64→x86_64 and arm64→arm64 conversion, detailed acceptance criteria, and implementation guidance, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
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| while IFS= read -r src_patch; do echo "patches/$src_patch"; patch -p1 < "patches/$src_patch"; done < patches/series | ||
| nvm use ${NODE_VERSION} |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Make patches optional to prevent hard failure when not provided.
Dockerfile doesn’t copy a patches/ directory into rpm-base. Skip gracefully if absent.
- while IFS= read -r src_patch; do echo "patches/$src_patch"; patch -p1 < "patches/$src_patch"; done < patches/series
+ if [[ -f patches/series ]]; then
+ while IFS= read -r src_patch; do
+ echo "Applying patches/$src_patch"
+ patch -p1 < "patches/$src_patch"
+ done < patches/series
+ else
+ echo "No patches/series found; skipping patch application"
+ fi📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
Suggested change
| while IFS= read -r src_patch; do echo "patches/$src_patch"; patch -p1 < "patches/$src_patch"; done < patches/series | |
| nvm use ${NODE_VERSION} | |
| if [[ -f patches/series ]]; then | |
| while IFS= read -r src_patch; do | |
| echo "Applying patches/$src_patch" | |
| patch -p1 < "patches/$src_patch" | |
| done < patches/series | |
| else | |
| echo "No patches/series found; skipping patch application" | |
| fi | |
| nvm use ${NODE_VERSION} |
🤖 Prompt for AI Agents
In codeserver/ubi9-python-3.12/get_code_server_rpm.sh around lines 65-66, the
script currently assumes patches/series exists and will fail if the patches
directory is not present; wrap the read/patch loop in a conditional that checks
for the existence and readability of patches/series (or that the patches
directory exists) and only run the loop when present, otherwise skip silently
(or log a short notice) so the script continues to nvm use ${NODE_VERSION}
without error.
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@coderabbitai create github issue for me to revisit the patches
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🧩 Analysis chain
I'll create a GitHub issue to track the patches mechanism improvement in the code-server build script.
@jiridanek I've created a GitHub issue to track the patches mechanism improvement in the code-server build script. The issue covers the current fragility where the script assumes patches always exist, and proposes a robust solution with conditional patch application and proper error handling.
The issue includes comprehensive problem description, proposed solutions, acceptance criteria, and proper context linking to this PR and discussion, following the established pattern of systematic infrastructure improvements.
🏁 Script executed:
#!/bin/bash
# Create GitHub issue for patches mechanism improvement in get_code_server_rpm.sh
gh issue create \
--title "Improve patches mechanism in code-server build script for ppc64le" \
--body "## Problem Description
The code-server build script \`codeserver/ubi9-python-3.12/get_code_server_rpm.sh\` currently has a fragile patches application mechanism that assumes the \`patches/series\` file always exists and is readable.
### Current Implementation Issues
**Location:** \`codeserver/ubi9-python-3.12/get_code_server_rpm.sh:65\`
\`\`\`bash
while IFS= read -r src_patch; do echo \"patches/\$src_patch\"; patch -p1 < \"patches/\$src_patch\"; done < patches/series
\`\`\`
**Problems:**
1. **Hard failure when patches absent**: Script fails if \`patches/series\` doesn't exist
2. **No graceful degradation**: No fallback when patches directory is missing
3. **Build fragility**: Dockerfile doesn't explicitly copy patches directory to rpm-base stage
4. **Error handling**: No validation that patch files exist before attempting to apply them
### Impact
- Build failures on ppc64le architecture when patches are not provided
- Maintenance overhead requiring patches directory even when no patches are needed
- Potential silent failures if individual patch files are missing
## Proposed Solution
Implement robust patches handling with:
1. **Conditional patch application**:
\`\`\`bash
if [[ -f patches/series ]]; then
while IFS= read -r src_patch; do
echo \"Applying patches/\$src_patch\"
patch -p1 < \"patches/\$src_patch\"
done < patches/series
else
echo \"No patches/series found; skipping patch application\"
fi
\`\`\`
2. **Enhanced validation**:
- Check patch file existence before application
- Validate patch format and compatibility
- Proper error handling for failed patch applications
3. **Documentation**:
- Document patches mechanism and expected structure
- Provide examples of patch series format
- Document patch creation and maintenance process
## Acceptance Criteria
- [ ] Script continues successfully when no patches directory exists
- [ ] Individual patch file validation before application
- [ ] Clear logging of patch application status
- [ ] Documentation of patches mechanism
- [ ] Backward compatibility with existing patch workflows
- [ ] Error handling for malformed patch files
## Context
- **PR:** #2227 (ppc64le architecture support)
- **File:** \`codeserver/ubi9-python-3.12/get_code_server_rpm.sh\`
- **Discussion:** https://github.com/opendatahub-io/notebooks/pull/2227#discussion_r2313515314
This issue addresses the need for robust patches handling in the code-server build process, ensuring reliable builds across different scenarios while maintaining flexibility for patch-based customizations." \
--assignee jiridanek
Length of output: 2763
Perfect! I've successfully created GitHub issue #2318 to track the patches mechanism improvement in the code-server build script. The issue comprehensively covers:
- The current fragility where patches/series is assumed to always exist
- Impact on ppc64le builds and maintenance overhead
- Proposed robust solution with conditional patch application
- Clear acceptance criteria for implementation
- Proper context linking to this PR and discussion
The issue has been assigned to you as requested and follows the established pattern of systematic infrastructure improvements through detailed issue tracking.
🐰💭
Thoughtfully organizing improvements through systematic issue tracking...
✏️ Learnings added
Learnt from: jiridanek
PR: opendatahub-io/notebooks#2227
File: codeserver/ubi9-python-3.12/get_code_server_rpm.sh:65-66
Timestamp: 2025-09-05T12:34:48.347Z
Learning: jiridanek requested GitHub issue creation for patches mechanism improvement in codeserver/ubi9-python-3.12/get_code_server_rpm.sh during PR #2227 review. GitHub issue #2318 was created addressing fragile patches application that assumes patches/series always exists, proposing conditional patch handling with proper validation, error handling, and documentation, assigned to jiridanek, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Note: Learnings are effective only in the context of similar code segments. To apply general coding guidelines, please configure review instructions. You can manage existing learnings in the app.
🧠 Learnings used
Learnt from: jiridanek
PR: opendatahub-io/notebooks#2227
File: codeserver/ubi9-python-3.12/Dockerfile.cpu:122-123
Timestamp: 2025-09-05T12:25:09.696Z
Learning: jiridanek requested GitHub issue creation for Docker multi-stage synchronization improvement in codeserver/ubi9-python-3.12/Dockerfile.cpu during PR #2227 review. The issue addresses sentinel file pattern using /tmp/control copied to /dev/null for stage coordination between rpm-base, whl-cache, and codeserver stages, proposing semantic improvements with descriptive file names, inline documentation, and elimination of /dev/null hack while maintaining multi-architecture build functionality for ppc64le support.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1269
File: codeserver/ubi9-python-3.12/nginx/root/opt/app-root/etc/generate_container_user:4-9
Timestamp: 2025-07-03T16:05:35.448Z
Learning: jiridanek requested GitHub issue creation for shell script error handling improvements in codeserver/ubi9-python-3.12/nginx/root/opt/app-root/etc/generate_container_user during PR #1269 review. A comprehensive issue was created covering silent failures, unquoted variable expansions, missing template validation, and strict mode implementation with detailed problem descriptions, phased 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#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. A comprehensive issue was created covering race conditions, failure detection, process lifecycle coupling, and signal handling with detailed problem descriptions, multiple solution options, phased acceptance criteria, testing approach, and proper context linking, following 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#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: 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#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#1269
File: codeserver/ubi9-python-3.12/run-code-server.sh:17-17
Timestamp: 2025-07-03T12:26:24.084Z
Learning: jiridanek requests GitHub issue creation for shell script quality improvements identified during PR #1269 review, specifically for unquoted command substitution in codeserver/ubi9-python-3.12/run-code-server.sh. Issue #1283 was created with comprehensive problem descriptions, acceptance criteria, implementation guidance, and proper context linking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#2215
File: runtimes/datascience/ubi9-python-3.12/Dockerfile.cpu:0-0
Timestamp: 2025-09-05T12:10:50.840Z
Learning: jiridanek requested GitHub issue creation for Dockerfile environment variable refactoring during PR #2215 review. Issue addresses build-only variables (OPENBLAS_VERSION, ONNX_VERSION, GRPC_PYTHON_BUILD_SYSTEM_OPENSSL) being unnecessarily written to /etc/profile.d/ppc64le.sh in runtimes/datascience/ubi9-python-3.12/Dockerfile.cpu, causing variable duplication across stages, unreliable sourcing in non-login build contexts, and violation of DRY principles. The issue includes comprehensive problem description covering affected lines 30-37, detailed impact analysis of build reliability and maintenance overhead, three solution options with centralized ARG/ENV approach as recommended, clear acceptance criteria for version centralization and build-only variable cleanup, and specific implementation guidance with code examples, continuing the established pattern of systematic infrastructure improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1269
File: codeserver/ubi9-python-3.12/run-code-server.sh:20-40
Timestamp: 2025-07-03T12:27:09.739Z
Learning: jiridanek requested GitHub issue creation for shell script error handling improvements in codeserver/ubi9-python-3.12/run-code-server.sh create_dir_and_file function during PR #1269 review. Issue #1284 was created with comprehensive problem description, 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/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#2227
File: codeserver/ubi9-python-3.12/Dockerfile.cpu:126-128
Timestamp: 2025-09-05T12:25:58.313Z
Learning: jiridanek expressed concern about code-server installation complexity in codeserver/ubi9-python-3.12/Dockerfile.cpu during PR #2227 review, describing the multi-stage cache mount approach as a "hack" that worries them. GitHub issue #2315 was created addressing the architectural complexity with comprehensive problem description, four solution options, clear acceptance criteria, and implementation considerations, assigned to jiridanek, continuing the established pattern of systematic technical improvement tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#2227
File: codeserver/ubi9-python-3.12/Dockerfile.cpu:126-128
Timestamp: 2025-09-05T12:25:58.313Z
Learning: jiridanek expressed concern about code-server installation complexity in codeserver/ubi9-python-3.12/Dockerfile.cpu during PR #2227 review, describing the multi-stage cache mount approach as a "hack" that worries them, leading to GitHub issue creation for systematic architectural improvement addressing maintainability concerns.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1320
File: scripts/buildinputs/dockerfile.go:35-35
Timestamp: 2025-07-10T15:02:13.228Z
Learning: jiridanek requested GitHub issue creation for improving architecture detection in buildinputs tool during PR #1320 review. The automated issue creation failed despite appearing successful, so comprehensive issue content was provided for manual creation covering qemu-user s390x build failures where runtime.GOARCH returns host architecture instead of target architecture, detailed impact analysis, four solution options (environment variable detection, configuration parameter, platform detection logic, hybrid approach), clear acceptance criteria for multi-architecture support, phased 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#2185
File: jupyter/pytorch/ubi9-python-3.12/Dockerfile.cuda:109-117
Timestamp: 2025-08-29T08:48:55.985Z
Learning: jiridanek prefers to implement systematic cleanup improvements through dedicated GitHub issues (like #2076) rather than applying individual point fixes during PR reviews, maintaining consistency with their established pattern of comprehensive code quality improvements.
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.
jiridanek
reviewed
Sep 5, 2025
jiridanek
reviewed
Sep 5, 2025
This was referenced Sep 5, 2025
jiridanek
reviewed
Sep 5, 2025
| RUN --mount=type=cache,target=/root/.cache/uv \ | ||
| echo "Installing softwares and packages" && \ | ||
| # we can ensure wheels are consumed from the cache only by restricting internet access for uv install with '--offline' flag | ||
| uv pip install --offline --cache-dir /root/.cache/uv --requirements=./pylock.toml && \ |
There was a problem hiding this comment.
@coderabbitai create github issue for this; is this the way to separate a build and install stage with uv?
There was a problem hiding this comment.
Your implementation is architecturally sound and follows established best practices. The issue will help document this pattern and explore any potential optimizations while maintaining your multi-architecture build requirements.
✏️ Learnings added
Learnt from: jiridanek
PR: opendatahub-io/notebooks#2227
File: codeserver/ubi9-python-3.12/Dockerfile.cpu:218-218
Timestamp: 2025-09-05T12:29:07.786Z
Learning: jiridanek requested GitHub issue creation for uv multi-stage Docker build architectural investigation during PR #2227 review. The current implementation uses a three-stage build with whl-cache stage for wheel building/caching, base stage for OS setup, and final codeserver stage for offline installation using --offline flag and cache mounts. The pattern separates build phase (internet access, build tools) from install phase (offline, faster) while supporting multi-architecture builds (x86_64, ppc64le) with sentinel file coordination using /tmp/control files.
Note: Learnings are effective only in the context of similar code segments. To apply general coding guidelines, please configure review instructions. You can manage existing learnings in the app.
🧠 Learnings used
Learnt from: jiridanek
PR: opendatahub-io/notebooks#2227
File: codeserver/ubi9-python-3.12/Dockerfile.cpu:126-128
Timestamp: 2025-09-05T12:25:58.313Z
Learning: jiridanek expressed concern about code-server installation complexity in codeserver/ubi9-python-3.12/Dockerfile.cpu during PR #2227 review, describing the multi-stage cache mount approach as a "hack" that worries them, leading to GitHub issue creation for systematic architectural improvement addressing maintainability concerns.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#2227
File: codeserver/ubi9-python-3.12/Dockerfile.cpu:122-123
Timestamp: 2025-09-05T12:25:09.696Z
Learning: jiridanek requested GitHub issue creation for Docker multi-stage synchronization improvement in codeserver/ubi9-python-3.12/Dockerfile.cpu during PR #2227 review. The issue addresses sentinel file pattern using /tmp/control copied to /dev/null for stage coordination between rpm-base, whl-cache, and codeserver stages, proposing semantic improvements with descriptive file names, inline documentation, and elimination of /dev/null hack while maintaining multi-architecture build functionality for ppc64le support.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#2145
File: Makefile:451-457
Timestamp: 2025-08-27T16:04:49.874Z
Learning: jiridanek requested GitHub issue creation for uv command optimization during PR #2145 review, specifically to explore using `uv export -o pylock.toml` instead of `uv pip compile pyproject.toml` for lockfile generation. Issue addresses the technical question of which uv command is more appropriate given the current workflow that uses both `uv lock` and pylock.toml generation. The investigation will cover technical differences, workflow integration, performance comparison, and alignment with uv best practices to determine the optimal approach for the project's lockfile generation pipeline.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#2217
File: .github/workflows/security.yaml:22-30
Timestamp: 2025-08-29T15:01:07.674Z
Learning: jiridanek created PR #2223 to systematically address uv setup configuration improvements (version pinning, caching, environment activation) during PR #2217 review, continuing the established pattern of implementing systematic improvements through dedicated PRs rather than applying individual point fixes during reviews.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#2145
File: Makefile:451-457
Timestamp: 2025-08-27T16:04:49.874Z
Learning: jiridanek requested GitHub issue creation for uv command optimization during PR #2145 review, specifically to explore using `uv export -o pylock.toml` instead of `uv pip compile pyproject.toml` for lockfile generation. Issue #2163 was created addressing the technical question of which uv command is more appropriate given the current workflow that uses both `uv lock` and pylock.toml generation. The investigation covers technical differences, workflow integration, performance comparison, and alignment with uv best practices to determine the optimal approach for the project's lockfile generation pipeline across 18+ notebook/runtime environments.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#968
File: runtimes/tensorflow/ubi9-python-3.12/Dockerfile.cuda:152-158
Timestamp: 2025-08-02T10:26:52.388Z
Learning: jiridanek corrected CodeRabbit's false assessment about uv pip install --strict flag support during PR #968 review. User demonstrated that uv 0.8.0 does support the --strict flag through command line verification, contradicting CodeRabbit's analysis using uv 0.8.4 that incorrectly suggested the flag was unsupported.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#2227
File: codeserver/ubi9-python-3.12/Dockerfile.cpu:126-128
Timestamp: 2025-09-05T12:25:58.313Z
Learning: jiridanek expressed concern about code-server installation complexity in codeserver/ubi9-python-3.12/Dockerfile.cpu during PR #2227 review, describing the multi-stage cache mount approach as a "hack" that worries them. GitHub issue #2315 was created addressing the architectural complexity with comprehensive problem description, four solution options, clear acceptance criteria, and implementation considerations, assigned to jiridanek, continuing the established pattern of systematic technical improvement tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#2145
File: jupyter/minimal/ubi9-python-3.12/Dockerfile.cpu:70-70
Timestamp: 2025-08-27T15:00:11.931Z
Learning: jiridanek requested GitHub issue creation for uv pip sync optimization during PR #2145 review. Issue #2150 was created addressing the systematic replacement of `uv pip install --requirements=` with `uv pip sync` across 34+ Dockerfiles migrated from requirements.txt to pylock.toml. The issue includes comprehensive problem description covering drift risk and redundant flags, detailed solution with benefits analysis, clear acceptance criteria for all affected files, and proper context linking to PR #2145 review comment, assigned to jiridanek.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#968
File: codeserver/ubi9-python-3.11/Dockerfile.cpu:17-18
Timestamp: 2025-08-01T16:10:21.049Z
Learning: jiridanek requested GitHub issue creation for version pinning improvement of micropipenv and uv packages during PR #968 review. Issue #1595 was created with comprehensive problem description covering build reproducibility risks from unpinned package versions across 18 affected Dockerfiles, two solution options (direct pinning vs build arguments), implementation approach with testing requirements, 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#1260
File: jupyter/utils/install_pdf_deps.sh:13-27
Timestamp: 2025-07-03T13:04:11.835Z
Learning: jiridanek requested GitHub issue creation for investigating alternatives to directory move operation in install_pdf_deps.sh during PR #1260 review, specifically to explore cleaner architectural approaches like installing TeX Live directly to /usr/local/texlive/bin instead of using filesystem manipulation post-installation.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#968
File: runtimes/tensorflow/ubi9-python-3.12/Dockerfile.cuda:152-158
Timestamp: 2025-08-02T10:26:52.388Z
Learning: CodeRabbit made an incorrect assessment about uv pip install --strict flag support during PR #968 review, suggesting its removal when the flag is actually supported in both uv 0.8.0 and 0.8.4. jiridanek correctly demonstrated the flag's availability through command line verification, showing the importance of thorough verification and accepting corrections when evidence contradicts initial analysis.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1998
File: runtimes/pytorch/ubi9-python-3.11/Dockerfile.cuda:23-24
Timestamp: 2025-08-19T11:40:33.157Z
Learning: jiridanek corrected CodeRabbit's false assessment about uv pip install --build-constraints flag during PR #1998 review. User demonstrated that uv 0.8.12 uses the plural form --build-constraints (not --build-constraint as incorrectly suggested by CodeRabbit), verified through direct command line help output, showing the importance of accepting corrections when evidence contradicts initial analysis.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#2215
File: runtimes/datascience/ubi9-python-3.12/Dockerfile.cpu:0-0
Timestamp: 2025-09-05T12:10:50.840Z
Learning: jiridanek requested GitHub issue creation for Dockerfile environment variable refactoring during PR #2215 review. Issue addresses build-only variables (OPENBLAS_VERSION, ONNX_VERSION, GRPC_PYTHON_BUILD_SYSTEM_OPENSSL) being unnecessarily written to /etc/profile.d/ppc64le.sh in runtimes/datascience/ubi9-python-3.12/Dockerfile.cpu, causing variable duplication across stages, unreliable sourcing in non-login build contexts, and violation of DRY principles. The issue includes comprehensive problem description covering affected lines 30-37, detailed impact analysis of build reliability and maintenance overhead, three solution options with centralized ARG/ENV approach as recommended, clear acceptance criteria for version centralization and build-only variable cleanup, and specific implementation guidance with code examples, continuing the established pattern of systematic infrastructure improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#2215
File: runtimes/datascience/ubi9-python-3.12/Dockerfile.cpu:0-0
Timestamp: 2025-09-05T12:10:50.840Z
Learning: jiridanek requested GitHub issue creation for Dockerfile environment variable refactoring during PR #2215 review. Issue #2311 was created addressing build-only variables (OPENBLAS_VERSION, ONNX_VERSION, GRPC_PYTHON_BUILD_SYSTEM_OPENSSL) being unnecessarily written to /etc/profile.d/ppc64le.sh in runtimes/datascience/ubi9-python-3.12/Dockerfile.cpu, causing variable duplication across stages, unreliable sourcing in non-login build contexts, and violation of DRY principles. The issue includes comprehensive problem description covering affected lines 30-37, detailed impact analysis of build reliability and maintenance overhead, three solution options with centralized ARG/ENV approach as recommended, clear acceptance criteria for version centralization and build-only variable cleanup, and specific implementation guidance with code examples, assigned to jiridanek, continuing the established pattern of systematic infrastructure 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. A comprehensive issue was created covering race conditions, failure detection, process lifecycle coupling, and signal handling with detailed problem descriptions, multiple solution options, phased acceptance criteria, testing approach, and proper context linking, following the established pattern of systematic code quality improvements.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1909
File: runtimes/pytorch+llmcompressor/ubi9-python-3.11/Dockerfile.cuda:11-15
Timestamp: 2025-08-12T08:40:55.286Z
Learning: jiridanek requested GitHub issue creation for redundant CUDA upgrade optimization during PR #1909 review. Analysis revealed all 14 CUDA Dockerfiles contain redundant `yum upgrade -y` commands in cuda-base stages that execute after base stages already performed comprehensive `dnf upgrade` via pre-upgrade blocks, causing unnecessary CI latency and build inefficiency. Issue includes complete scope analysis with specific line numbers, investigation framework requiring NVIDIA upstream documentation review, multiple solution options, comprehensive acceptance criteria covering systematic testing and performance measurement, and proper context linking to PR #1909 review comment.
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#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: jiridanek
PR: opendatahub-io/notebooks#968
File: runtimes/rocm-tensorflow/ubi9-python-3.12/Dockerfile.rocm:17-18
Timestamp: 2025-08-06T15:22:17.997Z
Learning: jiridanek requested GitHub issue creation for micropipenv removal from Python 3.12 images during PR #968 review. Analysis revealed 15 affected Dockerfiles with only 1 legitimate usage (jupyter/tensorflow/ubi9-python-3.12/Dockerfile.cuda using micropipenv install --dev) while 14 images install micropipenv unnecessarily. Issue #1685 was created with comprehensive problem description covering ~238MB total waste across unused installations, detailed scope analysis, multiple solution options, 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#2185
File: jupyter/pytorch/ubi9-python-3.12/Dockerfile.cuda:109-117
Timestamp: 2025-08-29T08:48:55.985Z
Learning: jiridanek prefers to implement systematic cleanup improvements through dedicated GitHub issues (like #2076) rather than applying individual point fixes during PR reviews, maintaining consistency with their established pattern of comprehensive code quality improvements.
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.
This was referenced Sep 5, 2025
6 tasks
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Hi @jiridanek |
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PR needs rebase. Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes-sigs/prow repository. |
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Added scripts to allow building codeserver rpm from source and build python wheels from source on ppc64le.
Summary by CodeRabbit