RHAIENG-540: build(deps): bump transformers from 4.52.4 to 4.53.0 in /jupyter/trustyai/ubi9-python-3.11 and to 4.55.0 in the 3.12 version of workbench #1755
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Bumps [transformers](https://github.com/huggingface/transformers) from 4.52.4 to 4.53.0. - [Release notes](https://github.com/huggingface/transformers/releases) - [Commits](huggingface/transformers@v4.52.4...v4.53.0) --- updated-dependencies: - dependency-name: transformers dependency-version: 4.53.0 dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> # Conflicts: # jupyter/trustyai/ubi9-python-3.12/requirements.txt
…, use 4.53 to fix CVEs and 4.55 to have the latest version in 3.12 image
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📒 Files selected for processing (4)
jupyter/trustyai/ubi9-python-3.11/Pipfile(1 hunks)jupyter/trustyai/ubi9-python-3.12/Pipfile(1 hunks)manifests/base/jupyter-trustyai-notebook-imagestream.yaml(1 hunks)manifests/overlays/additional/jupyter-trustyai-cpu-py312-ubi9-imagestream.yaml(1 hunks)
🧰 Additional context used
🧠 Learnings (11)
📓 Common learnings
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1127
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:20-20
Timestamp: 2025-06-27T07:49:01.198Z
Learning: jiridanek reviewed the transformers v4.50.0 release notes and assessed that the changes are minimal and unlikely to cause TrustyAI integration problems, indicating the actual changelog contained mostly bug fixes and minor additions rather than breaking changes.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1463
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:17-17
Timestamp: 2025-07-23T10:08:02.999Z
Learning: jiridanek made an informed decision to proceed with transformers ~=4.52.1 (resolving to 4.52.4) during PR #1463 review, acknowledging potential regressions in 4.52.2-4.52.3 but assessing that they're likely fixed in 4.52.4 and/or won't manifest with PyTorch 2.6. This demonstrates his balanced approach to risk assessment, weighing security fixes against potential compatibility issues while considering his specific environment configuration.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1127
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:20-20
Timestamp: 2025-06-27T07:49:01.198Z
Learning: Transformers v4.50.0 contains only non-breaking changes including documentation redesign, repository maintenance, performance enhancements, and bug fixes, with no API changes that would affect TrustyAI integration.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1379
File: .tekton/odh-workbench-jupyter-datascience-cpu-py312-ubi9-push.yaml:14-17
Timestamp: 2025-07-11T11:15:47.424Z
Learning: jiridanek requested GitHub issue creation for CEL filter problem in datascience workbench Tekton pipelines during PR #1379 review. Issue #1383 was successfully created with comprehensive problem description covering both Python 3.11 and 3.12 pipelines incorrectly watching jupyter/minimal directories instead of jupyter/datascience directories, detailed impact analysis of pipeline execution failures, complete solution with before/after code examples, thorough acceptance criteria for path updates and pipeline triggering verification, implementation notes about repository structure alignment, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1154
File: manifests/base/jupyter-tensorflow-notebook-imagestream.yaml:45-45
Timestamp: 2025-06-13T08:34:01.300Z
Learning: When updating dependency versions in `manifests/base/*-imagestream.yaml`, the project convention is to modify only the newest tag (e.g., "2025.1") and intentionally leave earlier tags (e.g., "2024.2") unchanged.
📚 Learning: 2025-06-27T07:49:01.198Z
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1127
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:20-20
Timestamp: 2025-06-27T07:49:01.198Z
Learning: Transformers v4.50.0 contains only non-breaking changes including documentation redesign, repository maintenance, performance enhancements, and bug fixes, with no API changes that would affect TrustyAI integration.
Applied to files:
jupyter/trustyai/ubi9-python-3.11/Pipfilejupyter/trustyai/ubi9-python-3.12/Pipfilemanifests/overlays/additional/jupyter-trustyai-cpu-py312-ubi9-imagestream.yamlmanifests/base/jupyter-trustyai-notebook-imagestream.yaml
📚 Learning: 2025-06-27T07:49:01.198Z
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1127
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:20-20
Timestamp: 2025-06-27T07:49:01.198Z
Learning: jiridanek reviewed the transformers v4.50.0 release notes and assessed that the changes are minimal and unlikely to cause TrustyAI integration problems, indicating the actual changelog contained mostly bug fixes and minor additions rather than breaking changes.
Applied to files:
jupyter/trustyai/ubi9-python-3.11/Pipfilejupyter/trustyai/ubi9-python-3.12/Pipfilemanifests/overlays/additional/jupyter-trustyai-cpu-py312-ubi9-imagestream.yamlmanifests/base/jupyter-trustyai-notebook-imagestream.yaml
📚 Learning: 2025-06-28T14:21:09.429Z
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1218
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:49-49
Timestamp: 2025-06-28T14:21:09.429Z
Learning: TrustyAI 0.6.1 (latest version as of June 2025) has a hard dependency constraint on jupyter-bokeh~=3.0.5, preventing upgrades to jupyter-bokeh 4.x in notebook images that include TrustyAI. This requires either waiting for TrustyAI to update their dependency or excluding TrustyAI from jupyter-bokeh upgrades.
Applied to files:
jupyter/trustyai/ubi9-python-3.11/Pipfilejupyter/trustyai/ubi9-python-3.12/Pipfilemanifests/overlays/additional/jupyter-trustyai-cpu-py312-ubi9-imagestream.yamlmanifests/base/jupyter-trustyai-notebook-imagestream.yaml
📚 Learning: 2025-06-28T14:21:09.429Z
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1218
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:49-49
Timestamp: 2025-06-28T14:21:09.429Z
Learning: TrustyAI explicitly declares jupyter-bokeh~=3.0.5 as a hard dependency in both their requirements.txt and pyproject.toml files, with no open issues tracking jupyter-bokeh 4.x compatibility. This creates an unresolvable pip dependency conflict when trying to upgrade jupyter-bokeh to 4.x in notebook images that include TrustyAI.
Applied to files:
jupyter/trustyai/ubi9-python-3.11/Pipfilejupyter/trustyai/ubi9-python-3.12/Pipfile
📚 Learning: 2025-06-28T14:21:09.429Z
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1218
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:49-49
Timestamp: 2025-06-28T14:21:09.429Z
Learning: The jupyter-bokeh pinning to 3.0.5 in TrustyAI notebook image was not due to TrustyAI code compatibility issues, but because the trustyai package itself explicitly declares jupyter-bokeh~=3.0.5 as a hard dependency, causing pip dependency resolution conflicts when trying to upgrade to jupyter-bokeh 4.x.
Applied to files:
jupyter/trustyai/ubi9-python-3.11/Pipfilejupyter/trustyai/ubi9-python-3.12/Pipfile
📚 Learning: 2025-06-28T14:15:41.168Z
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1218
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:49-49
Timestamp: 2025-06-28T14:15:41.168Z
Learning: TrustyAI's jupyter-bokeh was pinned to 3.0.5 due to compatibility requirements with TrustyAI's visualization components, but the actual deployed version in requirements.txt shows 3.0.7, indicating incremental testing. The upgrade to 4.0.5 in this PR represents the completion of a gradual migration strategy from the 3.x series after confirming compatibility with Bokeh 3.7.3.
Applied to files:
jupyter/trustyai/ubi9-python-3.11/Pipfilejupyter/trustyai/ubi9-python-3.12/Pipfilemanifests/overlays/additional/jupyter-trustyai-cpu-py312-ubi9-imagestream.yaml
📚 Learning: 2025-06-28T14:15:41.168Z
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1218
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:49-49
Timestamp: 2025-06-28T14:15:41.168Z
Learning: The jupyter-bokeh package was previously pinned to version 3.0.5 in the TrustyAI notebook image due to compatibility requirements with TrustyAI components, as indicated by the comment "Should be pinned down to this version in order to be compatible with trustyai" that was removed in this update.
Applied to files:
jupyter/trustyai/ubi9-python-3.12/Pipfile
📚 Learning: 2025-08-08T14:48:51.662Z
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1782
File: manifests/overlays/additional/jupyter-trustyai-cpu-py312-ubi9-imagestream.yaml:28-28
Timestamp: 2025-08-08T14:48:51.662Z
Learning: In opendatahub-io/notebooks, imagestream manifests (e.g., manifests/*-imagestream.yaml) intentionally list dependency versions in opendatahub.io/notebook-python-dependencies as major.minor only (omit patch). Review suggestions should not ask to change these to exact patch versions; keep major.minor to match project convention.
Applied to files:
manifests/overlays/additional/jupyter-trustyai-cpu-py312-ubi9-imagestream.yamlmanifests/base/jupyter-trustyai-notebook-imagestream.yaml
📚 Learning: 2025-06-16T11:06:33.139Z
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.
Applied to files:
manifests/overlays/additional/jupyter-trustyai-cpu-py312-ubi9-imagestream.yamlmanifests/base/jupyter-trustyai-notebook-imagestream.yaml
📚 Learning: 2025-08-08T14:57:20.636Z
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1782
File: manifests/overlays/additional/jupyter-trustyai-cpu-py312-ubi9-imagestream.yaml:1-1
Timestamp: 2025-08-08T14:57:20.636Z
Learning: In opendatahub-io/notebooks, when validating imagestream manifest dependency versions, compare manifest major.minor values against exact pinned versions in requirements.txt/Pipfile.lock for the same image; manifests intentionally omit patch numbers (project convention).
Applied to files:
manifests/base/jupyter-trustyai-notebook-imagestream.yaml
🔇 Additional comments (2)
manifests/overlays/additional/jupyter-trustyai-cpu-py312-ubi9-imagestream.yaml (1)
28-28: Imagestream dependency label updated to 4.55 (major.minor) — aligns with repository convention and Pipfile (4.55.0).No further action needed.
manifests/base/jupyter-trustyai-notebook-imagestream.yaml (1)
29-29: Imagestream N tag updated to Transformers 4.53 (major.minor) — consistent with py311 Pipfile (4.53.x) and the “major.minor only” convention.N-1 tag left unchanged, which follows policy.
| @@ -17,7 +17,7 @@ torch = {version = "==2.6.0+cu126", index = "pytorch"} | |||
| # More information available at: | |||
| # - https://pypi.org/project/trustyai/ | |||
| # - https://github.com/trustyai-explainability/trustyai-explainability-python/blob/main/requirements.txt | |||
| transformers = "~=4.52.1" | |||
| transformers = "~=4.53.3" | |||
There was a problem hiding this comment.
💡 Verification agent
🧩 Analysis chain
Transformers bump to ~=4.53.3 looks good and matches imagestream (major.minor 4.53).
Aligned with project conventions and prior TrustyAI assessments; no obvious compatibility flags with Torch 2.6.0. Ensure lockfile and build reflect this.
Run to verify consistency across Pipfile.lock and imagestream:
🏁 Script executed:
#!/bin/bash
set -euo pipefail
echo "Pipfile pin:"
sed -n '1,80p' jupyter/trustyai/ubi9-python-3.11/Pipfile | rg '^\s*transformers\s*=' -n
echo "Pipfile.lock resolved version:"
jq -r '.default.transformers.version // .develop.transformers.version' jupyter/trustyai/ubi9-python-3.11/Pipfile.lock
echo "Imagestream (base) N tag shows major.minor 4.53:"
rg -n 'opendatahub.io/notebook-python-dependencies' -n manifests/base/jupyter-trustyai-notebook-imagestream.yaml -A 40 | rg -n '"Transformers", "version": "4\.53"'Length of output: 704
Fix Pipfile.lock to Resolve Transformers Bump
The Pipfile correctly pins transformers = "~=4.53.3", and the imagestream manifest shows the expected major.minor 4.53. However, your Pipfile.lock is still resolving Transformers to ==4.52.4. Please update the lockfile so it reflects the bump to 4.53.x.
• Pipfile (line 20):
transformers = "~=4.53.3"
• Pipfile.lock (currently):
default.transformers.version == 4.52.4
• Imagestream manifest (manifests/base/jupyter-trustyai-notebook-imagestream.yaml):
{"name": "Transformers", "version": "4.53"},
Action required:
- Run
pipenv lock(or the equivalent command) to re-resolve dependencies. - Verify that Pipfile.lock now lists
transformersat>=4.53.3,<4.54.0. - Commit the updated Pipfile.lock.
This will ensure your build and deployments use the intended Transformers version.
🤖 Prompt for AI Agents
In jupyter/trustyai/ubi9-python-3.11/Pipfile around line 20 the Pipfile pins
transformers = "~=4.53.3" but Pipfile.lock still resolves transformers to
==4.52.4; run pipenv lock (or equivalent, e.g., pipenv lock --clear) in the
project root to re-resolve dependencies so Pipfile.lock lists transformers with
a version range >=4.53.3,<4.54.0 (or exact resolved 4.53.x), verify the updated
Pipfile.lock entry under [default] shows the correct version, and commit the
updated Pipfile.lock file.
There was a problem hiding this comment.
🧩 Analysis chain
🏁 Script executed:
#!/bin/bash
set -euo pipefail
echo "=== Checking transformers version in Pipfile ==="
grep -n "transformers" jupyter/trustyai/ubi9-python-3.11/Pipfile
echo -e "\n=== Checking transformers version in Pipfile.lock ==="
if [ -f "jupyter/trustyai/ubi9-python-3.11/Pipfile.lock" ]; then
jq -r '.default.transformers.version // "transformers not found in default"' jupyter/trustyai/ubi9-python-3.11/Pipfile.lock
else
echo "Pipfile.lock not found"
fi
echo -e "\n=== Checking imagestream manifest for transformers version ==="
grep -A1 -B1 '"Transformers"' manifests/base/jupyter-trustyai-notebook-imagestream.yaml | grep -E '"version":|"Transformers"' || echo "Transformers entry not found"
Length of output: 1130
@jiridanek Good news! The Pipfile.lock has been properly updated. All versions are now correctly aligned:
• Pipfile (line 20): transformers = "~=4.53.3"
• Pipfile.lock: transformers == 4.53.3 ✓
• Imagestream manifest (N-version): Transformers 4.53 ✓
The transformers dependency is now consistently at version 4.53.3 across all configuration files. The issue I previously flagged has been resolved.
🧠 Learnings used
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1218
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:49-49
Timestamp: 2025-06-28T14:21:09.429Z
Learning: TrustyAI 0.6.1 (latest version as of June 2025) has a hard dependency constraint on jupyter-bokeh~=3.0.5, preventing upgrades to jupyter-bokeh 4.x in notebook images that include TrustyAI. This requires either waiting for TrustyAI to update their dependency or excluding TrustyAI from jupyter-bokeh upgrades.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1218
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:49-49
Timestamp: 2025-06-28T14:21:09.429Z
Learning: TrustyAI explicitly declares jupyter-bokeh~=3.0.5 as a hard dependency in both their requirements.txt and pyproject.toml files, with no open issues tracking jupyter-bokeh 4.x compatibility. This creates an unresolvable pip dependency conflict when trying to upgrade jupyter-bokeh to 4.x in notebook images that include TrustyAI.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1218
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:49-49
Timestamp: 2025-06-28T14:21:09.429Z
Learning: The jupyter-bokeh pinning to 3.0.5 in TrustyAI notebook image was not due to TrustyAI code compatibility issues, but because the trustyai package itself explicitly declares jupyter-bokeh~=3.0.5 as a hard dependency, causing pip dependency resolution conflicts when trying to upgrade to jupyter-bokeh 4.x.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1218
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:49-49
Timestamp: 2025-06-28T14:15:41.168Z
Learning: The jupyter-bokeh package was previously pinned to version 3.0.5 in the TrustyAI notebook image due to compatibility requirements with TrustyAI components, as indicated by the comment "Should be pinned down to this version in order to be compatible with trustyai" that was removed in this update.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1463
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:17-17
Timestamp: 2025-07-23T10:08:02.999Z
Learning: jiridanek made an informed decision to proceed with transformers ~=4.52.1 (resolving to 4.52.4) during PR #1463 review, acknowledging potential regressions in 4.52.2-4.52.3 but assessing that they're likely fixed in 4.52.4 and/or won't manifest with PyTorch 2.6. This demonstrates his balanced approach to risk assessment, weighing security fixes against potential compatibility issues while considering his specific environment configuration.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1127
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:20-20
Timestamp: 2025-06-27T07:49:01.198Z
Learning: jiridanek reviewed the transformers v4.50.0 release notes and assessed that the changes are minimal and unlikely to cause TrustyAI integration problems, indicating the actual changelog contained mostly bug fixes and minor additions rather than breaking changes.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#0
File: :0-0
Timestamp: 2025-07-24T12:01:45.188Z
Learning: jiridanek requested verification of 2024.2 tag package versions against corresponding Pipfiles during PR #1496 review. The analysis revealed that 2024.2 tags contain intentionally frozen older versions (N-1 behavior) while the current PR correctly updates only the N (latest) tags to match Python 3.11 Pipfiles, demonstrating proper understanding of the repository's N-1 version freezing policy.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#968
File: runtimes/rocm-tensorflow/ubi9-python-3.12/Dockerfile.rocm:17-18
Timestamp: 2025-08-06T15:33:47.175Z
Learning: During PR #968 review, CodeRabbit initially incorrectly identified 1 legitimate micropipenv usage in jupyter/tensorflow/ubi9-python-3.12/Dockerfile.cuda when analyzing Python 3.12 images for unused dependencies. Upon jiridanek's request for re-verification, comprehensive analysis revealed all 15 Python 3.12 Dockerfiles install micropipenv but none actually use it, making the cleanup scope 100% unnecessary installations with no exceptions to handle.
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#1325
File: jupyter/pytorch/ubi9-python-3.12/Pipfile:42-42
Timestamp: 2025-07-09T14:22:14.553Z
Learning: jiridanek requested GitHub issue creation for Pipfile.lock verification script implementation during PR #1325 review, specifically to systematize the manual verification process for dependency version consistency across all lock files using jq. Issue #1367 was created with comprehensive problem description covering manual verification challenges, detailed solution with jq-based verification script, enhanced features for CI integration, clear acceptance criteria, implementation areas breakdown, benefits analysis, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1218
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:49-49
Timestamp: 2025-06-28T14:15:41.168Z
Learning: TrustyAI's jupyter-bokeh was pinned to 3.0.5 due to compatibility requirements with TrustyAI's visualization components, but the actual deployed version in requirements.txt shows 3.0.7, indicating incremental testing. The upgrade to 4.0.5 in this PR represents the completion of a gradual migration strategy from the 3.x series after confirming compatibility with Bokeh 3.7.3.
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#1127
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:20-20
Timestamp: 2025-06-27T07:49:01.198Z
Learning: Transformers v4.50.0 contains only non-breaking changes including documentation redesign, repository maintenance, performance enhancements, and bug fixes, with no API changes that would affect TrustyAI integration.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1379
File: .tekton/odh-workbench-jupyter-datascience-cpu-py312-ubi9-push.yaml:14-17
Timestamp: 2025-07-11T11:15:47.424Z
Learning: jiridanek requested GitHub issue creation for CEL filter problem in datascience workbench Tekton pipelines during PR #1379 review. Issue #1383 was successfully created with comprehensive problem description covering both Python 3.11 and 3.12 pipelines incorrectly watching jupyter/minimal directories instead of jupyter/datascience directories, detailed impact analysis of pipeline execution failures, complete solution with before/after code examples, thorough acceptance criteria for path updates and pipeline triggering verification, implementation notes about repository structure alignment, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1591
File: codeserver/ubi9-python-3.11/Pipfile.lock:1-1
Timestamp: 2025-08-01T16:03:18.732Z
Learning: jiridanek requested GitHub issue creation for Keras 3 / TensorFlow API compatibility problem during PR #1591 review. Issue #1594 was successfully created with comprehensive problem description covering API confusion between standalone keras==3.11.1 and tf.keras bundled with tensorflow==2.18.1, multiple solution options (remove standalone Keras, set KERAS_BACKEND, or documentation), clear acceptance criteria, affected files analysis, 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/kustomize/base/service.yaml:5-15
Timestamp: 2025-07-02T18:59:15.788Z
Learning: jiridanek creates targeted GitHub issues for specific test quality improvements identified during PR reviews in opendatahub-io/notebooks. Issue #1268 demonstrates this by converting a review comment about insufficient tf2onnx conversion test validation into a comprehensive improvement plan with clear acceptance criteria, code examples, and ROCm-specific context.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1333
File: runtimes/rocm-tensorflow/ubi9-python-3.12/Pipfile:13-15
Timestamp: 2025-07-09T08:07:24.937Z
Learning: jiridanek requested GitHub issue creation for tensorflow_rocm Python 3.12 compatibility problem during PR #1333 review. Issue #1354 was successfully created with comprehensive problem description covering missing cp312 wheels causing build failures, three solution options (upstream TensorFlow, Python 3.11 only, custom build), clear acceptance criteria, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
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🧹 Nitpick comments (1)
jupyter/trustyai/ubi9-python-3.11/requirements.txt (1)
3002-3004: Nit: Align PR title/description with the actual version (4.53.3).PR summary mentions 4.53.0 for py311, while this file pins 4.53.3. Consider updating the title/body for clarity.
📜 Review details
Configuration used: .coderabbit.yaml
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⛔ Files ignored due to path filters (2)
jupyter/trustyai/ubi9-python-3.11/Pipfile.lockis excluded by!**/*.lockjupyter/trustyai/ubi9-python-3.12/Pipfile.lockis excluded by!**/*.lock
📒 Files selected for processing (6)
jupyter/trustyai/ubi9-python-3.11/Pipfile(1 hunks)jupyter/trustyai/ubi9-python-3.11/requirements.txt(1 hunks)jupyter/trustyai/ubi9-python-3.12/Pipfile(1 hunks)jupyter/trustyai/ubi9-python-3.12/requirements.txt(1 hunks)manifests/base/jupyter-trustyai-notebook-imagestream.yaml(1 hunks)manifests/overlays/additional/jupyter-trustyai-cpu-py312-ubi9-imagestream.yaml(1 hunks)
🧰 Additional context used
🧠 Learnings (23)
📓 Common learnings
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1463
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:17-17
Timestamp: 2025-07-23T10:08:02.999Z
Learning: jiridanek made an informed decision to proceed with transformers ~=4.52.1 (resolving to 4.52.4) during PR #1463 review, acknowledging potential regressions in 4.52.2-4.52.3 but assessing that they're likely fixed in 4.52.4 and/or won't manifest with PyTorch 2.6. This demonstrates his balanced approach to risk assessment, weighing security fixes against potential compatibility issues while considering his specific environment configuration.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1127
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:20-20
Timestamp: 2025-06-27T07:49:01.198Z
Learning: jiridanek reviewed the transformers v4.50.0 release notes and assessed that the changes are minimal and unlikely to cause TrustyAI integration problems, indicating the actual changelog contained mostly bug fixes and minor additions rather than breaking changes.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1259
File: jupyter/rocm/tensorflow/ubi9-python-3.12/kustomize/base/service.yaml:5-15
Timestamp: 2025-07-02T18:59:15.788Z
Learning: jiridanek creates targeted GitHub issues for specific test quality improvements identified during PR reviews in opendatahub-io/notebooks. Issue #1268 demonstrates this by converting a review comment about insufficient tf2onnx conversion test validation into a comprehensive improvement plan with clear acceptance criteria, code examples, and ROCm-specific context.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1379
File: .tekton/odh-workbench-jupyter-datascience-cpu-py312-ubi9-push.yaml:14-17
Timestamp: 2025-07-11T11:15:47.424Z
Learning: jiridanek requested GitHub issue creation for CEL filter problem in datascience workbench Tekton pipelines during PR #1379 review. Issue #1383 was successfully created with comprehensive problem description covering both Python 3.11 and 3.12 pipelines incorrectly watching jupyter/minimal directories instead of jupyter/datascience directories, detailed impact analysis of pipeline execution failures, complete solution with before/after code examples, thorough acceptance criteria for path updates and pipeline triggering verification, implementation notes about repository structure alignment, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1127
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:20-20
Timestamp: 2025-06-27T07:49:01.198Z
Learning: Transformers v4.50.0 contains only non-breaking changes including documentation redesign, repository maintenance, performance enhancements, and bug fixes, with no API changes that would affect TrustyAI integration.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1591
File: codeserver/ubi9-python-3.11/Pipfile.lock:1-1
Timestamp: 2025-08-01T16:03:18.732Z
Learning: jiridanek requested GitHub issue creation for Keras 3 / TensorFlow API compatibility problem during PR #1591 review. Issue #1594 was successfully created with comprehensive problem description covering API confusion between standalone keras==3.11.1 and tf.keras bundled with tensorflow==2.18.1, multiple solution options (remove standalone Keras, set KERAS_BACKEND, or documentation), clear acceptance criteria, affected files analysis, 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/rocm-tensorflow/ubi9-python-3.12/Pipfile:13-15
Timestamp: 2025-07-09T08:07:24.937Z
Learning: jiridanek requested GitHub issue creation for tensorflow_rocm Python 3.12 compatibility problem during PR #1333 review. Issue #1354 was successfully created with comprehensive problem description covering missing cp312 wheels causing build failures, three solution options (upstream TensorFlow, Python 3.11 only, custom build), 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: 2025-07-11T11:16:05.131Z
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: 2025-08-05T17:24:08.616Z
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.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1306
File: jupyter/trustyai/ubi9-python-3.12/test/test_notebook.ipynb:71-88
Timestamp: 2025-07-04T06:05:30.580Z
Learning: jiridanek requested GitHub issue creation for TrustyAI test notebook URL configurability and network error handling improvements during PR #1306 review. Issue #1323 was created with ⚠️ emoji in title for visibility, comprehensive problem description covering incorrect hardcoded URLs (pointing to Python 3.11 instead of 3.12), missing network error handling, maintenance burden, multiple solution options with code examples, phased acceptance criteria, implementation guidance, testing approach, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1782
File: manifests/overlays/additional/jupyter-trustyai-cpu-py312-ubi9-imagestream.yaml:1-1
Timestamp: 2025-08-08T14:57:20.636Z
Learning: In opendatahub-io/notebooks, when validating imagestream manifest dependency versions, compare manifest major.minor values against exact pinned versions in requirements.txt/Pipfile.lock for the same image; manifests intentionally omit patch numbers (project convention).
📚 Learning: 2025-06-27T07:49:01.198Z
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1127
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:20-20
Timestamp: 2025-06-27T07:49:01.198Z
Learning: jiridanek reviewed the transformers v4.50.0 release notes and assessed that the changes are minimal and unlikely to cause TrustyAI integration problems, indicating the actual changelog contained mostly bug fixes and minor additions rather than breaking changes.
Applied to files:
jupyter/trustyai/ubi9-python-3.12/Pipfilemanifests/overlays/additional/jupyter-trustyai-cpu-py312-ubi9-imagestream.yamljupyter/trustyai/ubi9-python-3.11/Pipfilejupyter/trustyai/ubi9-python-3.12/requirements.txtmanifests/base/jupyter-trustyai-notebook-imagestream.yamljupyter/trustyai/ubi9-python-3.11/requirements.txt
📚 Learning: 2025-06-27T07:49:01.198Z
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1127
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:20-20
Timestamp: 2025-06-27T07:49:01.198Z
Learning: Transformers v4.50.0 contains only non-breaking changes including documentation redesign, repository maintenance, performance enhancements, and bug fixes, with no API changes that would affect TrustyAI integration.
Applied to files:
jupyter/trustyai/ubi9-python-3.12/Pipfilemanifests/overlays/additional/jupyter-trustyai-cpu-py312-ubi9-imagestream.yamljupyter/trustyai/ubi9-python-3.11/Pipfilejupyter/trustyai/ubi9-python-3.12/requirements.txtmanifests/base/jupyter-trustyai-notebook-imagestream.yamljupyter/trustyai/ubi9-python-3.11/requirements.txt
📚 Learning: 2025-06-28T14:21:09.429Z
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1218
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:49-49
Timestamp: 2025-06-28T14:21:09.429Z
Learning: TrustyAI 0.6.1 (latest version as of June 2025) has a hard dependency constraint on jupyter-bokeh~=3.0.5, preventing upgrades to jupyter-bokeh 4.x in notebook images that include TrustyAI. This requires either waiting for TrustyAI to update their dependency or excluding TrustyAI from jupyter-bokeh upgrades.
Applied to files:
jupyter/trustyai/ubi9-python-3.12/Pipfilemanifests/overlays/additional/jupyter-trustyai-cpu-py312-ubi9-imagestream.yamljupyter/trustyai/ubi9-python-3.11/Pipfilejupyter/trustyai/ubi9-python-3.12/requirements.txtmanifests/base/jupyter-trustyai-notebook-imagestream.yamljupyter/trustyai/ubi9-python-3.11/requirements.txt
📚 Learning: 2025-06-28T14:21:09.429Z
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1218
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:49-49
Timestamp: 2025-06-28T14:21:09.429Z
Learning: TrustyAI explicitly declares jupyter-bokeh~=3.0.5 as a hard dependency in both their requirements.txt and pyproject.toml files, with no open issues tracking jupyter-bokeh 4.x compatibility. This creates an unresolvable pip dependency conflict when trying to upgrade jupyter-bokeh to 4.x in notebook images that include TrustyAI.
Applied to files:
jupyter/trustyai/ubi9-python-3.12/Pipfilejupyter/trustyai/ubi9-python-3.11/Pipfilejupyter/trustyai/ubi9-python-3.12/requirements.txtmanifests/base/jupyter-trustyai-notebook-imagestream.yamljupyter/trustyai/ubi9-python-3.11/requirements.txt
📚 Learning: 2025-06-28T14:15:41.168Z
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1218
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:49-49
Timestamp: 2025-06-28T14:15:41.168Z
Learning: TrustyAI's jupyter-bokeh was pinned to 3.0.5 due to compatibility requirements with TrustyAI's visualization components, but the actual deployed version in requirements.txt shows 3.0.7, indicating incremental testing. The upgrade to 4.0.5 in this PR represents the completion of a gradual migration strategy from the 3.x series after confirming compatibility with Bokeh 3.7.3.
Applied to files:
jupyter/trustyai/ubi9-python-3.12/Pipfilemanifests/overlays/additional/jupyter-trustyai-cpu-py312-ubi9-imagestream.yamljupyter/trustyai/ubi9-python-3.11/Pipfilejupyter/trustyai/ubi9-python-3.12/requirements.txtmanifests/base/jupyter-trustyai-notebook-imagestream.yamljupyter/trustyai/ubi9-python-3.11/requirements.txt
📚 Learning: 2025-08-06T15:33:47.175Z
Learnt from: jiridanek
PR: opendatahub-io/notebooks#968
File: runtimes/rocm-tensorflow/ubi9-python-3.12/Dockerfile.rocm:17-18
Timestamp: 2025-08-06T15:33:47.175Z
Learning: During PR #968 review, CodeRabbit initially incorrectly identified 1 legitimate micropipenv usage in jupyter/tensorflow/ubi9-python-3.12/Dockerfile.cuda when analyzing Python 3.12 images for unused dependencies. Upon jiridanek's request for re-verification, comprehensive analysis revealed all 15 Python 3.12 Dockerfiles install micropipenv but none actually use it, making the cleanup scope 100% unnecessary installations with no exceptions to handle.
Applied to files:
jupyter/trustyai/ubi9-python-3.12/Pipfilejupyter/trustyai/ubi9-python-3.11/Pipfile
📚 Learning: 2025-06-28T14:21:09.429Z
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1218
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:49-49
Timestamp: 2025-06-28T14:21:09.429Z
Learning: The jupyter-bokeh pinning to 3.0.5 in TrustyAI notebook image was not due to TrustyAI code compatibility issues, but because the trustyai package itself explicitly declares jupyter-bokeh~=3.0.5 as a hard dependency, causing pip dependency resolution conflicts when trying to upgrade to jupyter-bokeh 4.x.
Applied to files:
jupyter/trustyai/ubi9-python-3.12/Pipfile
📚 Learning: 2025-07-23T10:08:02.999Z
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1463
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:17-17
Timestamp: 2025-07-23T10:08:02.999Z
Learning: jiridanek made an informed decision to proceed with transformers ~=4.52.1 (resolving to 4.52.4) during PR #1463 review, acknowledging potential regressions in 4.52.2-4.52.3 but assessing that they're likely fixed in 4.52.4 and/or won't manifest with PyTorch 2.6. This demonstrates his balanced approach to risk assessment, weighing security fixes against potential compatibility issues while considering his specific environment configuration.
Applied to files:
jupyter/trustyai/ubi9-python-3.12/Pipfilemanifests/overlays/additional/jupyter-trustyai-cpu-py312-ubi9-imagestream.yamljupyter/trustyai/ubi9-python-3.11/Pipfilemanifests/base/jupyter-trustyai-notebook-imagestream.yaml
📚 Learning: 2025-07-24T12:01:45.188Z
Learnt from: jiridanek
PR: opendatahub-io/notebooks#0
File: :0-0
Timestamp: 2025-07-24T12:01:45.188Z
Learning: jiridanek requested verification of 2024.2 tag package versions against corresponding Pipfiles during PR #1496 review. The analysis revealed that 2024.2 tags contain intentionally frozen older versions (N-1 behavior) while the current PR correctly updates only the N (latest) tags to match Python 3.11 Pipfiles, demonstrating proper understanding of the repository's N-1 version freezing policy.
Applied to files:
jupyter/trustyai/ubi9-python-3.12/Pipfilejupyter/trustyai/ubi9-python-3.11/Pipfile
📚 Learning: 2025-07-11T11:15:47.424Z
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1379
File: .tekton/odh-workbench-jupyter-datascience-cpu-py312-ubi9-push.yaml:14-17
Timestamp: 2025-07-11T11:15:47.424Z
Learning: jiridanek requested GitHub issue creation for CEL filter problem in datascience workbench Tekton pipelines during PR #1379 review. Issue #1383 was successfully created with comprehensive problem description covering both Python 3.11 and 3.12 pipelines incorrectly watching jupyter/minimal directories instead of jupyter/datascience directories, detailed impact analysis of pipeline execution failures, complete solution with before/after code examples, thorough acceptance criteria for path updates and pipeline triggering verification, implementation notes about repository structure alignment, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Applied to files:
jupyter/trustyai/ubi9-python-3.12/Pipfilejupyter/trustyai/ubi9-python-3.11/Pipfile
📚 Learning: 2025-07-08T19:09:48.746Z
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.
Applied to files:
jupyter/trustyai/ubi9-python-3.12/Pipfilejupyter/trustyai/ubi9-python-3.11/Pipfile
📚 Learning: 2025-07-08T19:09:48.746Z
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.
Applied to files:
jupyter/trustyai/ubi9-python-3.12/Pipfilejupyter/trustyai/ubi9-python-3.11/Pipfile
📚 Learning: 2025-07-08T19:26:17.140Z
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1333
File: runtimes/datascience/ubi9-python-3.12/Pipfile:33-34
Timestamp: 2025-07-08T19:26:17.140Z
Learning: jiridanek requested GitHub issue creation for jupyter-client dependency pinning inconsistency during PR #1333 review, specifically asking to note the implications of breaking changes in 9.x versions. Issue #1343 was created with comprehensive problem description covering inconsistent pinning style across all Python 3.12 runtime images, detailed breaking changes analysis (kernel protocol, session management, connection security, API changes, async/await modifications), reproducibility and security impact assessment, multiple solution options with code examples, phased acceptance criteria, implementation guidance, testing approach, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Applied to files:
jupyter/trustyai/ubi9-python-3.12/Pipfilejupyter/trustyai/ubi9-python-3.11/Pipfile
📚 Learning: 2025-08-06T15:22:17.997Z
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.
Applied to files:
jupyter/trustyai/ubi9-python-3.12/Pipfile
📚 Learning: 2025-07-09T14:22:14.553Z
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1325
File: jupyter/pytorch/ubi9-python-3.12/Pipfile:42-42
Timestamp: 2025-07-09T14:22:14.553Z
Learning: jiridanek requested GitHub issue creation for Pipfile.lock verification script implementation during PR #1325 review, specifically to systematize the manual verification process for dependency version consistency across all lock files using jq. Issue #1367 was created with comprehensive problem description covering manual verification challenges, detailed solution with jq-based verification script, enhanced features for CI integration, clear acceptance criteria, implementation areas breakdown, benefits analysis, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Applied to files:
jupyter/trustyai/ubi9-python-3.12/Pipfilejupyter/trustyai/ubi9-python-3.11/Pipfile
📚 Learning: 2025-07-11T11:16:05.131Z
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.
Applied to files:
jupyter/trustyai/ubi9-python-3.12/Pipfile
📚 Learning: 2025-08-08T14:48:51.662Z
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1782
File: manifests/overlays/additional/jupyter-trustyai-cpu-py312-ubi9-imagestream.yaml:28-28
Timestamp: 2025-08-08T14:48:51.662Z
Learning: In opendatahub-io/notebooks, imagestream manifests (e.g., manifests/*-imagestream.yaml) intentionally list dependency versions in opendatahub.io/notebook-python-dependencies as major.minor only (omit patch). Review suggestions should not ask to change these to exact patch versions; keep major.minor to match project convention.
Applied to files:
manifests/overlays/additional/jupyter-trustyai-cpu-py312-ubi9-imagestream.yamlmanifests/base/jupyter-trustyai-notebook-imagestream.yaml
📚 Learning: 2025-07-21T15:06:04.114Z
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1396
File: runtimes/tensorflow/ubi9-python-3.12/Dockerfile.cuda:124-127
Timestamp: 2025-07-21T15:06:04.114Z
Learning: jiridanek requested GitHub issue creation for multi-platform dependency locking investigation during PR #1396 review. Issue #1423 was successfully created with comprehensive problem description covering ARM64 wheel availability but being ignored due to AMD64-only dependency locking, root cause analysis of platform-specific pipenv limitations, immediate conditional installation solution, multi-platform locking ecosystem analysis, broader affected areas investigation, clear acceptance criteria, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Applied to files:
jupyter/trustyai/ubi9-python-3.11/Pipfile
📚 Learning: 2025-08-01T16:10:21.049Z
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.
Applied to files:
jupyter/trustyai/ubi9-python-3.11/Pipfile
📚 Learning: 2025-06-16T11:06:33.139Z
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.
Applied to files:
manifests/base/jupyter-trustyai-notebook-imagestream.yaml
📚 Learning: 2025-08-08T14:57:20.636Z
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1782
File: manifests/overlays/additional/jupyter-trustyai-cpu-py312-ubi9-imagestream.yaml:1-1
Timestamp: 2025-08-08T14:57:20.636Z
Learning: In opendatahub-io/notebooks, when validating imagestream manifest dependency versions, compare manifest major.minor values against exact pinned versions in requirements.txt/Pipfile.lock for the same image; manifests intentionally omit patch numbers (project convention).
Applied to files:
manifests/base/jupyter-trustyai-notebook-imagestream.yaml
📚 Learning: 2025-06-13T08:34:01.300Z
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1154
File: manifests/base/jupyter-tensorflow-notebook-imagestream.yaml:45-45
Timestamp: 2025-06-13T08:34:01.300Z
Learning: When updating dependency versions in `manifests/base/*-imagestream.yaml`, the project convention is to modify only the newest tag (e.g., "2025.1") and intentionally leave earlier tags (e.g., "2024.2") unchanged.
Applied to files:
manifests/base/jupyter-trustyai-notebook-imagestream.yaml
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (7)
- GitHub Check: refresh-pipfile-locks (3.12)
- GitHub Check: build (jupyter-trustyai-ubi9-python-3.12, 3.12, linux/amd64, false) / build
- GitHub Check: build (codeserver-ubi9-python-3.11, 3.11, linux/amd64, false) / build
- GitHub Check: build (runtime-cuda-tensorflow-ubi9-python-3.11, 3.11, linux/amd64, false) / build
- GitHub Check: build (rocm-runtime-pytorch-ubi9-python-3.11, 3.11, linux/amd64, false) / build
- GitHub Check: build (rocm-runtime-pytorch-ubi9-python-3.12, 3.12, linux/amd64, false) / build
- GitHub Check: validation-of-sw-versions-in-imagestreams
🔇 Additional comments (6)
jupyter/trustyai/ubi9-python-3.11/Pipfile (1)
20-20: Transformers pin bumped to ~=4.53.3 — looks good and consistentAligned with the imagestream (major.minor 4.53) and prior TrustyAI assessments. No compatibility flags with Torch 2.6.0 observed.
jupyter/trustyai/ubi9-python-3.12/Pipfile (1)
20-20: Transformers pin bumped to ~=4.55.0 — good, matches py312 baselineConsistent with the py312 imagestream (major.minor 4.55). Tokenizers 0.21.x and HF Hub versions in the env are compatible with 4.55.0.
manifests/overlays/additional/jupyter-trustyai-cpu-py312-ubi9-imagestream.yaml (1)
28-28: Imagestream dependency updated to Transformers 4.55 — correct per conventionMajor.minor only (omit patch) is the project convention; this aligns with the py312 Pipfile/requirements.
jupyter/trustyai/ubi9-python-3.12/requirements.txt (1)
3043-3045: requirements.txt pinned to transformers==4.55.0 with hashes — consistentMatches the Pipfile and imagestream for py312; hashes present and spec gated by python_full_version >= 3.9.0.
manifests/base/jupyter-trustyai-notebook-imagestream.yaml (1)
29-29: Imagestream N tag: Transformers 4.53 — aligned with py311Major.minor only per convention; N-1 left unchanged as expected. Matches Pipfile/requirements for py311.
jupyter/trustyai/ubi9-python-3.11/requirements.txt (1)
3002-3004: Transformers bump to 4.53.3 looks good and compatible with pinned stack.Pin and environment markers are consistent. With tokenizers==0.21.4, huggingface-hub==0.34.4, and torch==2.6.0, this upgrade should be safe.
Comment on lines
+3002
to
+3004
| transformers==4.53.3; python_full_version >= '3.9.0' \ | ||
| --hash=sha256:5aba81c92095806b6baf12df35d756cf23b66c356975fb2a7fa9e536138d7c75 \ | ||
| --hash=sha256:b2eda1a261de79b78b97f7888fe2005fc0c3fabf5dad33d52cc02983f9f675d8 |
There was a problem hiding this comment.
💡 Verification agent
🧩 Analysis chain
Verify hashes and dependency constraints from PyPI (optional).
Run this to confirm the two sha256 hashes exist for 4.53.3 and to inspect requires_dist matches your pinned deps:
🏁 Script executed:
#!/bin/bash
set -euo pipefail
VER=4.53.3
# 1) Show all available SHA256 digests for the release
echo "===> Available SHA256 digests for transformers ${VER}"
curl -sS https://pypi.org/pypi/transformers/${VER}/json | jq -r '.releases["'${VER}'"][] | "\(.filename) \(.digests.sha256)"'
# 2) Check that the pinned hashes are present
PINNED_HASHES=(
"5aba81c92095806b6baf12df35d756cf23b66c356975fb2a7fa9e536138d7c75"
"b2eda1a261de79b78b97f7888fe2005fc0c3fabf5dad33d52cc02983f9f675d8"
)
echo "===> Verifying pinned hashes"
for h in "${PINNED_HASHES[@]}"; do
if curl -sS https://pypi.org/pypi/transformers/${VER}/json | jq -e --arg H "$h" '.releases["'${VER}'"][] | select(.digests.sha256==$H)' >/dev/null; then
echo "OK: hash $h found"
else
echo "MISSING: hash $h not found"; exit 1
fi
done
# 3) Inspect runtime requirements for compatibility
echo "===> requires_dist for transformers ${VER}"
curl -sS https://pypi.org/pypi/transformers/${VER}/json | jq -r '.info.requires_dist[]' || trueLength of output: 334
Action Required: Verify transformers==4.53.3 on PyPI
The PyPI metadata query returned null for .releases["4.53.3"], which means version 4.53.3 of transformers isn’t published under that name on the default index. Please confirm whether:
- You intended to pin a different released version (e.g. 4.53.2 or 4.54.0), or
- The package is hosted on a custom index and needs an
--extra-index-urlentry.
Locations to update:
- jupyter/trustyai/ubi9-python-3.11/requirements.txt lines 3002–3004
Current snippet:
-transformers==4.53.3; python_full_version >= '3.9.0' \
- --hash=sha256:5aba81c92095806b6baf12df35d756cf23b66c356975fb2a7fa9e536138d7c75 \
- --hash=sha256:b2eda1a261de79b78b97f7888fe2005fc0c3fabf5dad33d52cc02983f9f675d8Suggested fix:
- Update to an existing version on PyPI, or
- Add the appropriate index URL for your private registry.
Committable suggestion skipped: line range outside the PR's diff.
🤖 Prompt for AI Agents
In jupyter/trustyai/ubi9-python-3.11/requirements.txt around lines 3002–3004,
the pinned transformers==4.53.3 cannot be found on the default PyPI index;
either change the version to a valid release (e.g., 4.53.2 or 4.54.0) by
updating the version string, or if this version exists on a private index add
the appropriate --extra-index-url (or --index-url) entry for that registry and
remove or adjust the broken pin; ensure the chosen version or index is tested by
running pip index versions or pip install against the file.
There was a problem hiding this comment.
🧩 Analysis chain
</script>🏁 Script executed:
#!/bin/bash
set -euo pipefail
echo "===> Checking transformers 4.53.3 on PyPI"
VER=4.53.3
# Check if the version exists and show all files
echo "Fetching release information for transformers ${VER}..."
RESPONSE=$(curl -sS https://pypi.org/pypi/transformers/${VER}/json 2>&1)
if echo "$RESPONSE" | grep -q "Not Found"; then
echo "Version ${VER} not found on PyPI"
echo ""
echo "===> Checking latest available versions of transformers"
curl -sS https://pypi.org/pypi/transformers/json | jq -r '.releases | keys[]' | tail -20 | sort -V
else
echo "Version ${VER} found!"
echo ""
echo "===> Available files and SHA256 hashes for transformers ${VER}:"
echo "$RESPONSE" | jq -r '.urls[] | "\(.filename): \(.digests.sha256)"'
echo ""
echo "===> Verifying pinned hashes in requirements.txt:"
HASH1="5aba81c92095806b6baf12df35d756cf23b66c356975fb2a7fa9e536138d7c75"
HASH2="b2eda1a261de79b78b97f7888fe2005fc0c3fabf5dad33d52cc02983f9f675d8"
for hash in $HASH1 $HASH2; do
if echo "$RESPONSE" | jq -e --arg H "$hash" '.urls[] | select(.digests.sha256==$H)' > /dev/null 2>&1; then
FILENAME=$(echo "$RESPONSE" | jq -r --arg H "$hash" '.urls[] | select(.digests.sha256==$H) | .filename')
echo "✓ Hash $hash matches file: $FILENAME"
else
echo "✗ Hash $hash NOT found in PyPI release"
fi
done
echo ""
echo "===> Package metadata:"
echo "$RESPONSE" | jq -r '.info | {version: .version, requires_python: .requires_python, summary: .summary}'
fi
Length of output: 269516
@jiridanek Confirmed. transformers 4.53.3 is on PyPI and the pinned hashes match:
- Wheel: transformers-4.53.3-py3-none-any.whl sha256=5aba81c92095806b6baf12df35d756cf23b66c356975fb2a7fa9e536138d7c75
- sdist: transformers-4.53.3.tar.gz sha256=b2eda1a261de79b78b97f7888fe2005fc0c3fabf5dad33d52cc02983f9f675d8
Also sanity-checked requires_dist vs our env:
- tokenizers 0.21.4 satisfies <0.22,>=0.21
- huggingface-hub 0.34.4 satisfies <1.0,>=0.30.0
- torch 2.6.0+cu126 satisfies >=2.1
- Pillow 11.3.0 satisfies >=10.0.1 and <=15.0
- Python >=3.9 satisfied
No changes needed; the requirements entry is correct.
🧠 Learnings used
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1218
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:49-49
Timestamp: 2025-06-28T14:21:09.429Z
Learning: TrustyAI 0.6.1 (latest version as of June 2025) has a hard dependency constraint on jupyter-bokeh~=3.0.5, preventing upgrades to jupyter-bokeh 4.x in notebook images that include TrustyAI. This requires either waiting for TrustyAI to update their dependency or excluding TrustyAI from jupyter-bokeh upgrades.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1218
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:49-49
Timestamp: 2025-06-28T14:21:09.429Z
Learning: TrustyAI explicitly declares jupyter-bokeh~=3.0.5 as a hard dependency in both their requirements.txt and pyproject.toml files, with no open issues tracking jupyter-bokeh 4.x compatibility. This creates an unresolvable pip dependency conflict when trying to upgrade jupyter-bokeh to 4.x in notebook images that include TrustyAI.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#0
File: :0-0
Timestamp: 2025-07-24T12:01:45.188Z
Learning: jiridanek requested verification of 2024.2 tag package versions against corresponding Pipfiles during PR #1496 review. The analysis revealed that 2024.2 tags contain intentionally frozen older versions (N-1 behavior) while the current PR correctly updates only the N (latest) tags to match Python 3.11 Pipfiles, demonstrating proper understanding of the repository's N-1 version freezing policy.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1463
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:17-17
Timestamp: 2025-07-23T10:08:02.999Z
Learning: jiridanek made an informed decision to proceed with transformers ~=4.52.1 (resolving to 4.52.4) during PR #1463 review, acknowledging potential regressions in 4.52.2-4.52.3 but assessing that they're likely fixed in 4.52.4 and/or won't manifest with PyTorch 2.6. This demonstrates his balanced approach to risk assessment, weighing security fixes against potential compatibility issues while considering his specific environment configuration.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#968
File: runtimes/rocm-tensorflow/ubi9-python-3.12/Dockerfile.rocm:17-18
Timestamp: 2025-08-06T15:33:47.175Z
Learning: During PR #968 review, CodeRabbit initially incorrectly identified 1 legitimate micropipenv usage in jupyter/tensorflow/ubi9-python-3.12/Dockerfile.cuda when analyzing Python 3.12 images for unused dependencies. Upon jiridanek's request for re-verification, comprehensive analysis revealed all 15 Python 3.12 Dockerfiles install micropipenv but none actually use it, making the cleanup scope 100% unnecessary installations with no exceptions to handle.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1333
File: runtimes/datascience/ubi9-python-3.12/Pipfile:33-34
Timestamp: 2025-07-08T19:26:17.140Z
Learning: jiridanek requested GitHub issue creation for jupyter-client dependency pinning inconsistency during PR #1333 review, specifically asking to note the implications of breaking changes in 9.x versions. Issue #1343 was created with comprehensive problem description covering inconsistent pinning style across all Python 3.12 runtime images, detailed breaking changes analysis (kernel protocol, session management, connection security, API changes, async/await modifications), reproducibility and security impact assessment, multiple solution options with code examples, phased acceptance criteria, implementation guidance, testing approach, 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/minimal/ubi9-python-3.12/Pipfile:23-27
Timestamp: 2025-07-09T08:12:05.822Z
Learning: jiridanek corrected CodeRabbit's false positive about urllib3/requests version incompatibility in PR #1333 review. Investigation revealed that requests 2.32.3 actually requires `urllib3<3,>=1.21.1` (not `urllib3<2` as incorrectly stated), making urllib3 2.5.0 perfectly compatible. This demonstrates the importance of verifying technical assessments against actual build results and PyPI metadata before creating issues.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1333
File: runtimes/minimal/ubi9-python-3.12/Pipfile:23-27
Timestamp: 2025-07-09T08:12:05.822Z
Learning: jiridanek corrected CodeRabbit's false positive about urllib3/requests version incompatibility in PR #1333 review. Investigation revealed that requests 2.32.3 actually requires `urllib3<3,>=1.21.1` (not `urllib3<2` as incorrectly stated), making urllib3 2.5.0 perfectly compatible. This demonstrates the importance of verifying technical assessments against actual build results and PyPI metadata before creating issues.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1127
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:20-20
Timestamp: 2025-06-27T07:49:01.198Z
Learning: jiridanek reviewed the transformers v4.50.0 release notes and assessed that the changes are minimal and unlikely to cause TrustyAI integration problems, indicating the actual changelog contained mostly bug fixes and minor additions rather than breaking changes.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1127
File: jupyter/trustyai/ubi9-python-3.11/Pipfile:20-20
Timestamp: 2025-06-27T07:49:01.198Z
Learning: Transformers v4.50.0 contains only non-breaking changes including documentation redesign, repository maintenance, performance enhancements, and bug fixes, with no API changes that would affect TrustyAI integration.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1259
File: jupyter/rocm/tensorflow/ubi9-python-3.12/kustomize/base/service.yaml:5-15
Timestamp: 2025-07-02T18:59:15.788Z
Learning: jiridanek creates targeted GitHub issues for specific test quality improvements identified during PR reviews in opendatahub-io/notebooks. Issue #1268 demonstrates this by converting a review comment about insufficient tf2onnx conversion test validation into a comprehensive improvement plan with clear acceptance criteria, code examples, and ROCm-specific context.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1379
File: .tekton/odh-workbench-jupyter-datascience-cpu-py312-ubi9-push.yaml:14-17
Timestamp: 2025-07-11T11:15:47.424Z
Learning: jiridanek requested GitHub issue creation for CEL filter problem in datascience workbench Tekton pipelines during PR #1379 review. Issue #1383 was successfully created with comprehensive problem description covering both Python 3.11 and 3.12 pipelines incorrectly watching jupyter/minimal directories instead of jupyter/datascience directories, detailed impact analysis of pipeline execution failures, complete solution with before/after code examples, thorough acceptance criteria for path updates and pipeline triggering verification, implementation notes about repository structure alignment, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1591
File: codeserver/ubi9-python-3.11/Pipfile.lock:1-1
Timestamp: 2025-08-01T16:03:18.732Z
Learning: jiridanek requested GitHub issue creation for Keras 3 / TensorFlow API compatibility problem during PR #1591 review. Issue #1594 was successfully created with comprehensive problem description covering API confusion between standalone keras==3.11.1 and tf.keras bundled with tensorflow==2.18.1, multiple solution options (remove standalone Keras, set KERAS_BACKEND, or documentation), clear acceptance criteria, affected files analysis, 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/rocm-tensorflow/ubi9-python-3.12/Pipfile:13-15
Timestamp: 2025-07-09T08:07:24.937Z
Learning: jiridanek requested GitHub issue creation for tensorflow_rocm Python 3.12 compatibility problem during PR #1333 review. Issue #1354 was successfully created with comprehensive problem description covering missing cp312 wheels causing build failures, three solution options (upstream TensorFlow, Python 3.11 only, custom build), 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: 2025-07-11T11:16:05.131Z
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: 2025-08-05T17:24:08.616Z
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.
Learnt from: jiridanek
PR: opendatahub-io/notebooks#1306
File: jupyter/trustyai/ubi9-python-3.12/test/test_notebook.ipynb:71-88
Timestamp: 2025-07-04T06:05:30.580Z
Learning: jiridanek requested GitHub issue creation for TrustyAI test notebook URL configurability and network error handling improvements during PR #1306 review. Issue #1323 was created with ⚠️ emoji in title for visibility, comprehensive problem description covering incorrect hardcoded URLs (pointing to Python 3.11 instead of 3.12), missing network error handling, maintenance burden, multiple solution options with code examples, phased acceptance criteria, implementation guidance, testing approach, and proper context linking, continuing the established pattern of systematic code quality improvements through detailed issue tracking.
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https://issues.redhat.com/browse/RHAIENG-540
Pipfile.lock renewals:
Bumps transformers from 4.52.4 to 4.53.0.
Release notes
Sourced from transformers's releases.
... (truncated)
Commits
67ddc82Release: v4.53.00a8081b[Modeling] Fix encoder CPU offloading for whisper (#38994)c63cfd6Gemma 3n (#39059)3e5cc12[tests] remove tests from libraries with deprecated support (flax, tensorflow...cfff7ca[Whisper] Pipeline: handle long form generation (#35750)02ecdcfadd _keep_in_fp32_modules_strict (#39058)d973e62fix condition where torch_dtype auto collides with model_kwargs. (#39054)44b2316[qwen2-vl] fix vision attention scaling (#39043)ae15715polishing docs: error fixes for clarity (#39042)3abeabaCreate test for #38916 (custom generate from local dir with imports) (#39015)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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Summary by CodeRabbit