[Snyk] Security upgrade jupyterlab from 3.6.8 to 4.4.8

[paaschdigital]

Snyk has created this PR to fix 1 vulnerabilities in the pip dependencies of this project.

Snyk changed the following file(s):

• requires-ci.txt

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[gemini-code-assist]

Summary of Changes

Hello @paaschdigital, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request aims to enhance the security posture of the project by upgrading the jupyterlab dependency. The update addresses a known vulnerability, ensuring that the project utilizes a more secure and up-to-date version of the library. This change is crucial for maintaining the integrity and safety of the application's dependencies.

Highlights

• Security Upgrade: This pull request performs a security upgrade for the jupyterlab dependency to address 1 identified vulnerability.
• Dependency Version Update: The jupyterlab package has been updated from version 3.6.8 to 4.4.8.
• Automated Fix: This PR was automatically generated by Snyk to fix the detected vulnerability.

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[gemini-code-assist]

Code Review

This pull request from Snyk proposes to upgrade jupyterlab to fix a security vulnerability. However, the proposed change to requires-ci.txt is problematic. It allows an upgrade to JupyterLab v4, which is a major version that will likely break the project's custom JupyterLab extension, as it's only compatible with v2/v3. Furthermore, the version constraint jupyterlab<4.4.8 is not ideal for a security patch as it doesn't enforce a minimum secure version. I've added a critical comment explaining these issues and recommending not to merge this PR in its current state.

[gemini-code-assist]

This change introduces two critical issues:

1. Breaking Change: This allows upgrading to JupyterLab v4.x, which is a major version with breaking changes, especially for extensions. The project's JupyterLab extension (@plotly/dash-jupyterlab) is only compatible with JupyterLab v2/v3 (as seen in dash/labextension/package.json which specifies "@jupyterlab/application": "^2.0.0 || ^3.0.0"). This will likely break your CI pipeline.

2. Ineffective Security Fix: The constraint jupyterlab<4.4.8 does not guarantee a secure version will be installed. It allows any version older than 4.4.8, including potentially vulnerable ones. For a security fix, it's better to pin to a specific fixed version (e.g., jupyterlab==4.4.7) or enforce a minimum version (e.g., jupyterlab>=4.4.7,<5.0.0).

Recommendation:
Do not merge this PR as is. The jupyterlab dependency should be constrained to a 3.x version that contains the security fix, if one exists, to avoid the major version jump. If the fix is only available in v4, the JupyterLab extension must be updated for compatibility, which is a larger effort.