Skip to content

Conversation

@jayapradha-p
Copy link
Contributor

Title (Please follow the convention below)

Please use a clear and concise title that summarizes your changes.
If this PR is related to an internal Buganizer ticket, please include its ID at the beginning.

Convention: [Optional Buganizer ID: 123456789] Short, descriptive title of changes

Examples:

  • Fix: Resolve issue with API endpoint returning 500 error
  • [Buganizer ID: 987654321] Feature: Add support for custom data types
  • Docs: Update README with installation instructions

Description

Please provide a detailed description of your changes. This helps reviewers understand your work and its context.

What problem does this PR solve?
(e.g., "Fixes a bug where X was happening," "Implements feature Y to allow Z," "Improves performance of function A.")

How does this PR solve the problem?
(e.g., "Modified algorithm in src/foo.js," "Added new component Bar.vue," "Updated dependency baz to version 1.2.3.")

Any other relevant information (e.g., design choices, tradeoffs, known issues):
(e.g., "Chose approach A over B due to performance considerations," "This change might affect X in certain edge cases," "Requires manual migration steps for existing users.")


Checklist:

Please ensure you have completed the following items before submitting your PR.
This helps us review your contribution faster and more efficiently.

General Checks:

  • I have read and followed the project's contributing.md guide.
  • My code follows the project's coding style guidelines.
  • I have performed a self-review of my own code.
  • My changes do not introduce any new warnings.
  • My changes pass all existing tests.
  • I have added new tests where appropriate to cover my changes. (If applicable)
  • I have updated the documentation where necessary (e.g., README, API docs). (If applicable)

Open-Source Specific Checks:

  • My changes do not introduce any Personally Identifiable Information (PII) or sensitive customer data.
  • My changes do not expose any internal-only code examples, configurations, or URLs.
  • All code examples, comments, and messages are generic and suitable for a public repository.
  • I understand that any internal context or sensitive details related to this work are handled separately in internal systems (Buganizer for Google team members).

For Google Team Members and Reviewers Only:

  • I have included the Buganizer ID in the PR title or description (e.g., "Internal Buganizer ID: 123456789" or "Related Buganizer: go/buganizer/123456789").
  • I have ensured that all internal discussions and PII related to this work remain in Buganizer.
  • I have tagged the PR with one or more labels that reflect the pull request purpose.

Screenshots (If Applicable)

If your changes involve UI or visual elements, please include screenshots or GIFs here.
Ensure any sensitive data is redacted or generalized.


Further Comments / Questions

Any additional comments, questions, or areas where you'd like specific feedback.

@jayapradha-p jayapradha-p requested a review from a team as a code owner January 2, 2026 12:12
@gemini-code-assist
Copy link
Contributor

Summary of Changes

Hello @jayapradha-p, 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 enhances the robustness of the EmailUtilities_Analyze Headers script by introducing improved error handling for DMARC domain checks. Specifically, it adds a fallback mechanism to ensure that domain analysis can proceed even if the initial check encounters a ValueError, likely due to TLS negotiation issues. This change aims to prevent execution failures and improve the reliability of email header analysis, alongside a standard version bump for the utility package.

Highlights

  • Robust DMARC Domain Checking: Implemented a try-except block around the checkdmarc.check_domains function call in AnalyzeHeaders.py. If a ValueError occurs during the initial domain check, the function will now retry the check with the skip_tls=True parameter, enhancing resilience against potential TLS-related issues.
  • Version Increment: The EmailUtilities package version has been updated from 43.0 to 44.0 in both pyproject.toml and uv.lock to reflect the recent changes.

🧠 New Feature in Public Preview: You can now enable Memory to help Gemini Code Assist learn from your team's feedback. This makes future code reviews more consistent and personalized to your project's style. Click here to enable Memory in your admin console.

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.

@github-actions
Copy link

github-actions bot commented Jan 2, 2026

Marketplace Validation Failed

Click to view the full report

Validation Report

🧩 Integrations
Pre-Build Stage

email_utilities

Validation Name Details
⚠️ Integration Version Bump release_notes.yml file must be updated before PR

Copy link
Contributor

@gemini-code-assist gemini-code-assist bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Code Review

This pull request addresses a bug where the EmailUtilities_Analyze Headers script fails. The fix involves adding a try-except block to handle a ValueError from checkdmarc.check_domains and retrying with TLS disabled.

My review focuses on improving the robustness of the error handling and ensuring adherence to the repository's style guide.

Key Feedback:

  • Error Handling: The new except block should also handle potential failures during the retry to prevent the script from crashing. I've suggested adding another try-except block with logging. This aligns with the style guide's principle of production-ready code with resilient error handling (lines 16-17).
  • Missing Unit Tests: The style guide (lines 131-132) requires that bug fixes include corresponding unit tests. This PR is missing a test to validate the new fallback logic. Please add a unit test that mocks checkdmarc.check_domains to raise a ValueError and asserts that the retry logic is correctly triggered.
  • JSON Example Naming: The style guide (lines 157-158) specifies a naming convention for JSON example files (action_name_json_example.json). The existing file AnalyzeHeaders_JsonResult_example.json should be renamed to AnalyzeHeaders_json_example.json to align with the convention.

I've provided a specific comment in the code for the error handling improvement.

Comment on lines +360 to +370
try:
domain_check = checkdmarc.check_domains(
[result["FromDomain"]],
include_tag_descriptions=True,
)
except ValueError:
domain_check = checkdmarc.check_domains(
[result["FromDomain"]],
include_tag_descriptions=True,
skip_tls=True,
)
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

high

The current implementation handles the initial ValueError but doesn't account for a potential failure in the fallback call. If the second checkdmarc.check_domains call also raises a ValueError, the script will crash. Additionally, there's an opportunity to add logging for better observability. This suggestion adds more robust error handling and logging, and initializes domain_check to a safe default in case of complete failure.

    try:
        domain_check = checkdmarc.check_domains([result["FromDomain"]], include_tag_descriptions=True)
    except ValueError:
        siemplify.LOGGER.warning(f"DMARC check for {result['FromDomain']} failed, retrying with skip_tls=True.")
        try:
            domain_check = checkdmarc.check_domains([result["FromDomain"]], include_tag_descriptions=True, skip_tls=True)
        except ValueError as e:
            siemplify.LOGGER.error(f"DMARC check for {result['FromDomain']} failed again with skip_tls=True: {e}")
            domain_check = {}
References
  1. The style guide (lines 16-17) requires code to be resilient with proactive error handling and structured logging. The current implementation could crash if the retry fails and lacks logging. (link)

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant