Open
MH4GF
opened this issue 9 months ago
•
5 comments
Issue
Reorganize jobs package structure for better maintainability
Why is this change needed?
The current jobs package structure was becoming difficult to maintain. This refactoring organizes code into logical task-specific directories, making the codebase more maintainable and easier to understand.
What would you like reviewers to focus on?
Code organization structure
Proper imports and exports
Any potential breaking changes that might have been introduced
Testing Verification
Tested locally by verifying that tasks can be properly imported and executed.
Merging this PR will not cause a version bump for any packages. If these changes should not result in a new version, you're good to go. If these changes should result in a version bump, you need to add a changeset.
This PR includes no changesets
When changesets are added to this PR, you'll see the packages that this PR includes changesets for and the associated semver types
The error handling in the processGenerateDocsSuggestion function could be improved. While errors are caught and logged, the function doesn't provide detailed error information when throwing exceptions, which might make debugging difficult.
There's a potential type inconsistency between the SchemaMetaResult type defined in two places (lines 30-48 and 414-423) with different structures, which could lead to confusion or errors.
export type GenerateSchemaMetaPayload = {
overallReviewId: number
}
export type SchemaMetaResult =
| {
createNeeded: true
override: SchemaOverride
projectId: number
pullRequestNumber: number
branchName: string
title: string
traceId: string
overallReviewId: number
reasoning?: string
}
| {
createNeeded: false
}
The task is missing retry configuration. For a critical task like creating knowledge suggestions, adding retry logic would improve reliability in case of transient failures.
[ ] Apply this suggestion <!-- /improve --apply_suggestion=0 -->
Suggestion importance[1-10]: 7
__
Why: Adding retry logic to the task is a valuable improvement for reliability, especially for critical operations like creating knowledge suggestions. The suggestion properly configures retry parameters with exponential backoff, which would help handle transient failures gracefully.
Medium
Learned best practice
Add input validation to prevent security vulnerabilities and unexpected behavior when processing user-provided data
The function processGenerateDocsSuggestion accepts user input without validation. You should validate the input parameters before processing them to prevent potential security issues or unexpected behavior. Add validation for the reviewComment, projectId, and branchOrCommit parameters at the beginning of the function.