[Snyk] Security upgrade werkzeug from 2.2.3 to 3.1.5

[ravishan16]

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

Snyk changed the following file(s):

• requirements.txt

⚠️ Warning

xgboost 1.6.2 requires scipy, which is not installed.
Flask 2.2.5 requires Werkzeug, which is not installed.

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[gemini-code-assist]

Summary of Changes

Hello @ravishan16, 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, automatically generated by Snyk, aims to enhance the project's security posture by upgrading the werkzeug dependency. The upgrade specifically targets a known vulnerability, ensuring the application benefits from the latest security patches without direct manual intervention.

Highlights

• Security Upgrade: Upgraded the werkzeug package from version 2.2.3 to 3.1.5 to address a security vulnerability identified by Snyk.

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[gemini-code-assist]

Code Review

This pull request upgrades werkzeug from version 2.2.3 to 3.1.5 to address a security vulnerability. This is a major version upgrade which may include breaking changes, so thorough testing is recommended. The change correctly pins the dependency in requirements.txt. However, the fix is incomplete as setup.py is not updated, potentially leaving some installation paths vulnerable. I've added a comment with a suggestion to address this. I also recommend reviewing the overall dependency management strategy to avoid inconsistencies between requirements.txt and setup.py.

[gemini-code-assist]

While pinning werkzeug here fixes the vulnerability for environments built using requirements.txt (like the Docker image), the setup.py file is not updated. This means that if the package is installed using pip install . or as a dependency in another project, it might still pull a vulnerable version of werkzeug through Flask.

To ensure the vulnerability is fixed for all installation methods, you should also add werkzeug>=3.1.5 to the install_requires list in setup.py.

For better long-term maintenance, consider consolidating your dependencies. A common pattern is to define abstract dependencies in setup.py and use requirements.txt for pinning versions for specific environments. For example, requirements.txt could contain -e . to install the package defined by setup.py and its dependencies.