[Snyk] Security upgrade python from 3.9 to 3.14.3

[q1blue]

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

Keeping your Docker base image up-to-date means you’ll benefit from security fixes in the latest version of your chosen image.

Snyk changed the following file(s):

• DockerfileCelery

We recommend upgrading to python:3.14.3, as this image has only 219 known vulnerabilities. To do this, merge this pull request, then verify your application still works as expected.

Vulnerabilities that will be fixed with an upgrade:

	Issue	Score
	OS Command Injection SNYK-DEBIAN13-IMAGEMAGICK-5682970	332
	OS Command Injection SNYK-DEBIAN13-IMAGEMAGICK-5682970	332
	OS Command Injection SNYK-DEBIAN13-IMAGEMAGICK-5682970	332
	OS Command Injection SNYK-DEBIAN13-IMAGEMAGICK-5682970	332
	OS Command Injection SNYK-DEBIAN13-IMAGEMAGICK-5682970	332

---

Important

• Check the changes in this PR to ensure they won't cause issues with your project.
• Max score is 1000. Note that the real score may have changed since the PR was raised.
• This PR was automatically created by Snyk using the credentials of a real user.

---

Note: You are seeing this because you or someone else with access to this repository has authorized Snyk to open fix PRs.

For more information:
🧐 View latest project report
📜 Customise PR templates
🛠 Adjust project settings
📚 Read about Snyk's upgrade logic

---

Learn how to fix vulnerabilities with free interactive lessons:

🦉 OS Command Injection

[gemini-code-assist]

Summary of Changes

Hello @q1blue, 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, focuses on improving the project's security posture by upgrading the Python base image within the DockerfileCelery. The update to python:3.14.3 is crucial for mitigating identified vulnerabilities and ensuring the application benefits from the latest security patches available in the updated base image.

Highlights

• Security Upgrade: This pull request performs a security upgrade to address identified vulnerabilities in the project's Dockerfile dependencies.
• Python Version Update: The base Python image used in DockerfileCelery has been updated from python:3.9 to python:3.14.3.
• Vulnerability Fix: The upgrade specifically targets and fixes 1 instance of an OS Command Injection vulnerability (SNYK-DEBIAN13-IMAGEMAGICK-5682970) related to ImageMagick in the Debian 13 base image.

Changelog

• DockerfileCelery
  • The base image for the Celery Dockerfile has been updated from python:3.9 to python:3.14.3.

Activity

• This pull request was automatically generated by Snyk to propose a security upgrade.
• Snyk identified and aims to fix 1 vulnerability related to OS Command Injection by updating the Dockerfile dependencies.
• The PR suggests verifying application functionality after merging the proposed changes.

Using Gemini Code Assist

The full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips.

Invoking Gemini

You can request assistance from Gemini at any point by creating a comment using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands on the current page.

Feature	Command	Description
Code Review	/gemini review	Performs a code review for the current pull request in its current state.
Pull Request Summary	/gemini summary	Provides a summary of the current pull request in its current state.
Comment	@gemini-code-assist	Responds in comments when explicitly tagged, both in pull request comments and review comments.
Help	/gemini help	Displays a list of available commands.

Customization

To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a .gemini/ folder in the base of the repository. Detailed instructions can be found here.

Limitations & Feedback

Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for Github and other Google products, sign up here.

You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension.

Footnotes

1. Review the Privacy Notices, Generative AI Prohibited Use Policy, Terms of Service, and learn how to configure Gemini Code Assist in GitHub here. Gemini can make mistakes, so double check it and use code with caution. ↩

[gemini-code-assist]

Code Review

This pull request, automatically generated by Snyk, aims to upgrade the Python version in DockerfileCelery from 3.9 to 3.14.3 to fix security vulnerabilities. However, the target version python:3.14.3 is invalid as Python 3.14 has not been released, which will cause the Docker build to fail. My review includes a critical comment to correct the base image to a valid and stable version, suggesting python:3.10-slim-bullseye for consistency with other Dockerfiles in the project.

[gemini-code-assist]

The Docker image python:3.14.3 does not exist, which will cause the build to fail as Python 3.14 has not been released. This seems to be an error from the automated Snyk pull request.

To fix this, I recommend using a stable and existing Python version. For consistency with other services in this repository (e.g., Dockerfile), you could use python:3.10-slim-bullseye.

FROM python:3.10-slim-bullseye