PM-3829 AI assisted skill generation for copilot opportunity…#1474
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| setAiGenerationError(undefined) | ||
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| try { | ||
| const result = await extractSkillsFromText(formValues.overview) |
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[correctness]
Consider adding a check to ensure formValues.overview is defined before calling extractSkillsFromText. This will prevent potential runtime errors if overview is undefined.
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| // Add extracted skills to existing skills (avoid duplicates) | ||
| const existingSkillIds = new Set((formValues.skills || []).map((s: any) => s.id)) | ||
| const newSkills = result.matches.filter(skill => !existingSkillIds.has(skill.id)) |
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[maintainability]
The use of any for the type of formValues.skills and s could be replaced with a more specific type to improve type safety and maintainability.
| `Successfully added ${newSkills.length} skill${newSkills.length > 1 ? 's' : ''} from AI analysis!`, | ||
| ) | ||
| } catch (error) { | ||
| const errorMessage = (error as Error).message |
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[maintainability]
Consider using a more specific error handling mechanism instead of casting error to Error. This can help in handling different types of errors more effectively.
| // Check if overview has enough content for AI processing | ||
| const canGenerateSkills = useMemo(() => { | ||
| const overview = formValues.overview?.trim() || '' | ||
| return overview.length >= MIN_OVERVIEW_LENGTH && !isGeneratingSkills |
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[💡 correctness]
The useMemo dependency array should include MIN_OVERVIEW_LENGTH to ensure the memoized value updates if this constant changes.
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| return runId | ||
| } catch (error) { | ||
| console.error('Failed to start workflow run:', (error as Error).message) |
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[💡 maintainability]
Consider using a more specific error type or custom error class for better error handling and debugging.
| attempt += 1 | ||
| } catch (error) { | ||
| const errorMessage = (error as Error).message | ||
| // If it's a network error or timeout, try again |
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[maintainability]
The error handling logic for network errors and timeouts is duplicated. Consider refactoring this into a separate function to improve maintainability.
| workflowId?: string, | ||
| ): Promise<SkillsExtractionResult> { | ||
| if (!description || typeof description !== 'string') { | ||
| throw new Error('Description must be a non-empty string') |
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[💡 correctness]
The check for description being a non-empty string is good, but consider adding a trim operation to ensure that strings with only whitespace are also caught.
| console.log('Workflow completed successfully') | ||
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| return (result.result as SkillsExtractionResult) || {} | ||
| } catch (error) { |
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[correctness]
Casting result.result to SkillsExtractionResult without checking its structure could lead to runtime errors if the API response changes. Consider validating the structure before returning.
| @@ -1 +1,2 @@ | |||
| export * from './ai-workflows' | |||
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[maintainability]
Using export * can lead to potential naming conflicts and makes it harder to track what is being exported from the module. Consider explicitly exporting only the necessary components to improve maintainability and clarity.
2 participants
…/request form
Related JIRA Ticket:
https://topcoder.atlassian.net/browse/PM-3829
What's in this PR?