#!/bin/bash
# First, let's examine the modified script to understand the changes
cat scripts/test_jupyter_with_papermill.sh

#!/bin/bash
# Let's check the directory structure for Python 3.12 imagestreams
echo "=== Checking overlays/additional directory structure ==="
find manifests/overlays/additional -name "*py312*imagestream.yaml" -type f 2>/dev/null | head -10

echo -e "\n=== Checking manifests/base directory structure for comparison ==="
find manifests/base -name "*notebook-imagestream.yaml" -type f 2>/dev/null | head -10

echo -e "\n=== Looking for any Python 3.12 imagestream files ==="
find . -name "*py312*imagestream*" -type f 2>/dev/null | head -10

#!/bin/bash
# Let's examine the specific function that was modified
grep -A 50 "_get_source_of_truth_filepath()" scripts/test_jupyter_with_papermill.sh

#!/bin/bash
# Let's check if there are any test failures or error logs that might give us clues about the remaining issues
echo "=== Checking for any test-related files or logs ==="
find . -name "*test*" -name "*.log" -o -name "*error*" -o -name "*fail*" 2>/dev/null | head -10

echo -e "\n=== Looking for any CI/test configuration files ==="
find . -name "*.yml" -o -name "*.yaml" | grep -i test | head -10

#!/bin/bash
# Let's examine the structure of a sample Python 3.12 imagestream file to understand the naming pattern
echo "=== Sample Python 3.12 imagestream file content ==="
find manifests -name "*py312*imagestream*" -type f | head -1 | xargs cat 2>/dev/null || echo "No py312 imagestream files found"

echo -e "\n=== Sample base imagestream file for comparison ==="
find manifests/base -name "*notebook-imagestream.yaml" -type f | head -1 | xargs cat 2>/dev/null | head -20

#!/bin/bash
# Let's look for any documentation or README files that might explain the testing process
echo "=== Checking for test documentation ==="
find . -name "README*" -o -name "*.md" | grep -i test

echo -e "\n=== Looking for any test runner or script documentation ==="
grep -r "test_jupyter_with_papermill" . --include="*.md" --include="*.rst" --include="*.txt" 2>/dev/null || echo "No documentation found for the test script"

if [[ ! -f "$imagestream_filepath" ]]; then
    echo "Error: Imagestream file not found: $imagestream_filepath" >&2
    return 1
fi

Learnt from: jiridanek
PR: opendatahub-io/notebooks#1269
File: codeserver/ubi9-python-3.12/utils/process.sh:17-19
Timestamp: 2025-07-03T14:00:00.909Z
Learning: jiridanek efficiently identifies when CodeRabbit review suggestions are already covered by existing comprehensive issues, demonstrating excellent issue management and avoiding duplicate tracking of the same improvements across multiple locations.

Learnt from: jiridanek
PR: opendatahub-io/notebooks#1259
File: jupyter/rocm/tensorflow/ubi9-python-3.12/test/test_notebook.ipynb:22-29
Timestamp: 2025-07-02T18:27:51.097Z
Learning: jiridanek consistently creates comprehensive follow-up GitHub issues from PR review comments in opendatahub-io/notebooks, turning specific code quality concerns into systematic improvements tracked with proper context, acceptance criteria, and cross-references. Issue #1266 demonstrates this pattern by expanding a specific error handling concern in load_expected_versions() into a repository-wide improvement initiative.

Learnt from: jiridanek
PR: opendatahub-io/notebooks#1230
File: jupyter/minimal/ubi9-python-3.12/Dockerfile.cpu:21-24
Timestamp: 2025-07-01T06:48:13.154Z
Learning: jiridanek creates comprehensive follow-up issues from review comments that expand scope appropriately, include clear acceptance criteria, proper backlinks, and structured implementation guidance. Issue #1241 demonstrates this by turning a specific oc client checksum concern into a thorough security enhancement plan covering all downloaded binaries across the Python 3.12 implementation.

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#1269
File: codeserver/ubi9-python-3.12/nginx/root/usr/share/container-scripts/nginx/common.sh:1-3
Timestamp: 2025-07-03T12:07:19.365Z
Learning: jiridanek consistently requests GitHub issue creation for technical improvements identified during code reviews in opendatahub-io/notebooks, ensuring systematic tracking of code quality enhancements like shell script portability issues with comprehensive descriptions, solution options, and acceptance criteria.

Learnt from: jiridanek
PR: opendatahub-io/notebooks#1306
File: jupyter/trustyai/ubi9-python-3.12/test/test_notebook.ipynb:112-126
Timestamp: 2025-07-08T13:21:09.150Z
Learning: jiridanek requested GitHub issue creation for notebook linting and formatting improvements during PR #1306 review, specifically to address inconsistent metadata across .ipynb files and implement systematic quality standards. This continues the established pattern of comprehensive issue creation for code quality improvements with detailed problem descriptions, multiple solution options, phased acceptance criteria, and proper context linking.

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#1259
File: jupyter/rocm/tensorflow/ubi9-python-3.12/Dockerfile.rocm:56-66
Timestamp: 2025-07-02T18:19:49.397Z
Learning: jiridanek consistently creates comprehensive follow-up GitHub issues for security concerns raised during PR reviews in opendatahub-io/notebooks, ensuring systematic tracking and resolution of supply-chain security improvements like GPG signature verification for package repositories.

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#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#1230
File: jupyter/minimal/ubi9-python-3.12/Dockerfile.rocm:43-55
Timestamp: 2025-07-01T06:48:21.070Z
Learning: When security concerns are raised during PR reviews in opendatahub-io/notebooks, comprehensive follow-up issues are created (often by CodeRabbit) to track all related security enhancements with clear acceptance criteria and implementation guidance. This ensures security improvements are systematically addressed in dedicated efforts rather than blocking current deliverables.

Learnt from: jiridanek
PR: opendatahub-io/notebooks#1333
File: runtimes/tensorflow/ubi9-python-3.12/Pipfile:13-15
Timestamp: 2025-07-08T19:29:32.006Z
Learning: jiridanek requested GitHub issue creation for investigating TensorFlow "and-cuda" extras usage patterns during PR #1333 review. Issue #1345 was created with comprehensive investigation framework covering platform-specific analysis, deployment scenarios, TensorFlow version compatibility, clear acceptance criteria, and testing approach, continuing the established pattern of systematic code quality improvements through detailed issue tracking.

Learnt from: jiridanek
PR: opendatahub-io/notebooks#1333
File: runtimes/tensorflow/ubi9-python-3.12/Pipfile:13-15
Timestamp: 2025-07-08T19:29:32.006Z
Learning: jiridanek requested GitHub issue creation for investigating TensorFlow "and-cuda" extras usage patterns during PR #1333 review. Issue #1340 was created with comprehensive investigation framework covering platform-specific analysis, deployment scenarios, TensorFlow version compatibility, clear acceptance criteria, testing approach, and implementation timeline, 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. 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#1151
File: jupyter/tensorflow/ubi9-python-3.12/test/test_notebook.ipynb:31-34
Timestamp: 2025-07-01T07:03:05.385Z
Learning: jiridanek demonstrates excellent pattern recognition for identifying duplicated code issues across the opendatahub-io/notebooks repository. When spotting a potential problem in test notebooks, he correctly assesses that such patterns are likely replicated across multiple similar files rather than being isolated incidents, leading to more effective systematic solutions.

Learnt from: jiridanek
PR: opendatahub-io/notebooks#1333
File: runtimes/pytorch/ubi9-python-3.12/utils/bootstrapper.py:619-626
Timestamp: 2025-07-08T19:33:14.340Z
Learning: jiridanek requested GitHub issue creation for Python 3.12 version check bug in bootstrapper.py during PR #1333 review. Issue #1348 was created with comprehensive problem description covering version check exclusion affecting all Python 3.12 runtime images, detailed impact analysis of bootstrapper execution failures, clear solution with code examples, affected files list including all 6 runtime bootstrapper copies, acceptance criteria for testing and verification, implementation notes about code duplication and upstream reporting, 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#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#1379
File: .tekton/odh-workbench-jupyter-pytorch-cuda-py312-ubi9-push.yaml:40-44
Timestamp: 2025-07-11T11:15:25.572Z
Learning: jiridanek requested GitHub issue creation for critical Tekton array parameter syntax error during PR #1379 review, affecting all 32 pipeline files with additional-tags parameter. Issue #1382 was created with comprehensive problem description covering both Python 3.11 and 3.12 pipeline files (16 each), detailed root cause analysis of value: vs values: syntax error, critical impact assessment of complete pipeline execution failure, complete list of all affected files across workbench and runtime types, implementation commands with sed scripts, detailed acceptance criteria, implementation notes about systematic copy-paste error propagation, 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/test/test_notebook.ipynb:71-76
Timestamp: 2025-07-04T06:04:43.085Z
Learning: jiridanek requested GitHub issue creation for duplicate CSV loading and validation problem in jupyter/trustyai/ubi9-python-3.12/test/test_notebook.ipynb during PR #1306 review. Issue #1322 was created with comprehensive problem description covering code redundancy, runtime failure risks, network inefficiency, and test reliability concerns, along with detailed solution including duplicate line removal, data validation implementation, repository-wide audit, 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#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.