refactor: clean unnecessary type: ignore in workflow_app_log.py

[majiayu000]

Summary

• Remove unnecessary type: ignore from isoparse return (dateutil has proper type stubs)
• Make remaining type: ignore more specific (arg-type instead of blanket ignore)

Part of #24494

Checklist

• This change requires a documentation update, included: Dify Document
• I understand that this PR may be closed in case there was no previous discussion or issues. (This doesn't apply to typos!)
• I've added a test for each change that was introduced, and I tried as much as possible to make a single atomic change.
• I've updated the documentation accordingly.
• I ran dev/reformat(backend) and cd web && npx lint-staged(frontend) to appease the lint gods

[gemini-code-assist]

Summary of Changes

Hello @majiayu000, 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 focuses on enhancing the clarity and precision of type checking within the workflow_app_log.py file. By removing a redundant type: ignore and making another more specific, the changes leverage improved type stub support and contribute to a cleaner, more maintainable codebase, aligning with modern Python type hinting practices.

Highlights

• Type Ignore Removal: Removed an unnecessary type: ignore comment from the isoparse function call, as the dateutil library now provides proper type stubs, making the explicit ignore redundant.
• Type Ignore Specificity: Refined an existing generic type: ignore comment to a more specific type: ignore[arg-type] for the WorkflowAppLogQuery.model_validate call, improving the precision of type checking suppression.

🧠 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. ↩

[gemini-code-assist]

Code Review

This pull request provides a good cleanup of type ignores in workflow_app_log.py. Removing an unnecessary type: ignore and making another one more specific (arg-type) are both positive changes that improve code quality and maintainability. The changes are correct and well-justified. I have no further comments.