You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
🔧 Robust Output Validation
Added continue-on-error: true to the AI translation step so failures don't immediately break the workflow
Created a dedicated validation step (check_translation) that:
Checks if the AI translation step succeeded using ${{ steps.ai_translate.outcome }}
Validates that outputs exist before trying to use them
Provides detailed debugging information about available outputs
Sets flags indicating success/failure and preferred output method
🛡️ Better Error Handling
Added fallback behavior when AI translation fails:
Creates a placeholder file with failure markers
Continues the workflow instead of failing completely
Provides clear error messages and warnings
Enhanced the final processing step to:
Detect and count failed vs successful translations
Remove failed translation files before processing
Provide detailed reporting about success/failure rates
📊 Improved Reporting
Added comprehensive status reporting:
Individual job status reporting with warnings for failures
Summary statistics in the final PR
Clear documentation of what succeeded vs failed
Enhanced PR body with:
Translation processing summary
Quality assurance information
Details about error handling and robustness improvements
🔍 Debug Information
Added extensive debugging output:
Shows available action outputs
Validates file existence and content
Reports file sizes and line counts after successful translation
Provides step-by-step status information
Key Benefits:
No silent failures: The workflow will always report what happened
Graceful degradation: Failed translations don't break the entire workflow
Better visibility: Clear reporting of success/failure rates
Debugging support: Extensive logging to help troubleshoot issues
Validation: Checks outputs exist and are valid before using them
The workflow will now handle cases where:
The actions/ai-inference@v2 action fails completely
The action succeeds but provides unexpected output formats
Network issues cause intermittent failures
Rate limiting or quota issues with the AI service
File system issues with reading/writing translation files
This makes the workflow much more robust and production-ready!
0 commit comments