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feat: complete development environment setup and code quality improvements
- Set up pre-commit hooks with husky and lint-staged for automated code quality - Improved TypeScript type safety by replacing 'any' types with proper generics - Fixed markdown linting violations (MD030 spacing) across all documentation - Fixed compound adjective hyphenation in technical documentation - Fixed invalid JSON union syntax in API documentation examples - Automated code formatting and linting on commit - Enhanced error handling with better type constraints - Configured biome and markdownlint for consistent code style - All changes verified with successful production build
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@ -7,21 +7,24 @@ Successfully refactored the session processing pipeline from a simple status-bas
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## Problems Solved
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### Original Issues
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1. **Inconsistent Status Tracking**: The old system used a simple enum on SessionImport that didn't properly track the multi-stage processing pipeline
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2. **Poor Error Visibility**: Error messages were buried in the SessionImport table and not easily accessible
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3. **No Stage-Specific Tracking**: The system couldn't track which specific stage of processing failed
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4. **Difficult Recovery**: Failed sessions were hard to identify and retry
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5. **Linting Errors**: Multiple TypeScript files referencing removed database fields
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1. **Inconsistent Status Tracking**: The old system used a simple enum on SessionImport that didn't properly track the multi-stage processing pipeline
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2. **Poor Error Visibility**: Error messages were buried in the SessionImport table and not easily accessible
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3. **No Stage-Specific Tracking**: The system couldn't track which specific stage of processing failed
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4. **Difficult Recovery**: Failed sessions were hard to identify and retry
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5. **Linting Errors**: Multiple TypeScript files referencing removed database fields
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### Schema Changes Made
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- **Removed** old `status`, `errorMsg`, and `processedAt` columns from SessionImport
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- **Removed** `processed` field from Session
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- **Added** new `SessionProcessingStatus` table with granular stage tracking
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- **Added** `ProcessingStage` and `ProcessingStatus` enums
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- **Removed** old `status`, `errorMsg`, and `processedAt` columns from SessionImport
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- **Removed** `processed` field from Session
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- **Added** new `SessionProcessingStatus` table with granular stage tracking
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- **Added** `ProcessingStage` and `ProcessingStatus` enums
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## New Processing Pipeline
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### Processing Stages
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```typescript
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enum ProcessingStage {
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CSV_IMPORT // SessionImport created
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@ -39,95 +42,107 @@ enum ProcessingStatus {
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### Key Components
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#### 1. ProcessingStatusManager
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Centralized class for managing processing status with methods:
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- `initializeSession()` - Set up processing status for new sessions
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- `startStage()`, `completeStage()`, `failStage()`, `skipStage()` - Stage management
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- `getSessionsNeedingProcessing()` - Query sessions by stage and status
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- `getPipelineStatus()` - Get overview of entire pipeline
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- `getFailedSessions()` - Find sessions needing retry
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- `resetStageForRetry()` - Reset failed stages
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- `initializeSession()` - Set up processing status for new sessions
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- `startStage()`, `completeStage()`, `failStage()`, `skipStage()` - Stage management
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- `getSessionsNeedingProcessing()` - Query sessions by stage and status
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- `getPipelineStatus()` - Get overview of entire pipeline
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- `getFailedSessions()` - Find sessions needing retry
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- `resetStageForRetry()` - Reset failed stages
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#### 2. Updated Processing Scheduler
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- Integrated with new `ProcessingStatusManager`
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- Tracks AI analysis and question extraction stages
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- Records detailed processing metadata
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- Proper error handling and retry capabilities
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- Integrated with new `ProcessingStatusManager`
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- Tracks AI analysis and question extraction stages
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- Records detailed processing metadata
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- Proper error handling and retry capabilities
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#### 3. Migration System
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- Successfully migrated all 109 existing sessions
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- Determined current state based on existing data
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- Preserved all existing functionality
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- Successfully migrated all 109 existing sessions
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- Determined current state based on existing data
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- Preserved all existing functionality
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## Current Pipeline Status
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After migration and refactoring:
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- **CSV_IMPORT**: 109 completed
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- **TRANSCRIPT_FETCH**: 109 completed
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- **SESSION_CREATION**: 109 completed
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- **AI_ANALYSIS**: 16 completed, 93 pending
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- **QUESTION_EXTRACTION**: 11 completed, 98 pending
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- **CSV_IMPORT**: 109 completed
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- **TRANSCRIPT_FETCH**: 109 completed
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- **SESSION_CREATION**: 109 completed
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- **AI_ANALYSIS**: 16 completed, 93 pending
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- **QUESTION_EXTRACTION**: 11 completed, 98 pending
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## Files Updated/Created
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### New Files
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- `lib/processingStatusManager.ts` - Core processing status management
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- `check-refactored-pipeline-status.ts` - New pipeline status checker
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- `migrate-to-refactored-system.ts` - Migration script
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- `docs/processing-system-refactor.md` - This documentation
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- `lib/processingStatusManager.ts` - Core processing status management
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- `check-refactored-pipeline-status.ts` - New pipeline status checker
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- `migrate-to-refactored-system.ts` - Migration script
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- `docs/processing-system-refactor.md` - This documentation
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### Updated Files
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- `prisma/schema.prisma` - Added new processing status tables
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- `lib/processingScheduler.ts` - Integrated with new status system
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- `debug-import-status.ts` - Updated to use new system
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- `fix-import-status.ts` - Updated to use new system
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- `prisma/schema.prisma` - Added new processing status tables
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- `lib/processingScheduler.ts` - Integrated with new status system
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- `debug-import-status.ts` - Updated to use new system
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- `fix-import-status.ts` - Updated to use new system
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### Removed Files
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- `check-pipeline-status.ts` - Replaced by refactored version
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- `check-pipeline-status.ts` - Replaced by refactored version
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## Benefits Achieved
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1. **Clear Pipeline Visibility**: Can see exactly which stage each session is in
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2. **Better Error Tracking**: Failed stages include specific error messages and retry counts
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3. **Efficient Processing**: Can query sessions needing specific stage processing
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4. **Metadata Support**: Each stage can store relevant metadata (costs, token usage, etc.)
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5. **Easy Recovery**: Failed sessions can be easily identified and retried
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6. **Scalable**: System can handle new processing stages without schema changes
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7. **No Linting Errors**: All TypeScript compilation issues resolved
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1. **Clear Pipeline Visibility**: Can see exactly which stage each session is in
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2. **Better Error Tracking**: Failed stages include specific error messages and retry counts
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3. **Efficient Processing**: Can query sessions needing specific stage processing
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4. **Metadata Support**: Each stage can store relevant metadata (costs, token usage, etc.)
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5. **Easy Recovery**: Failed sessions can be easily identified and retried
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6. **Scalable**: System can handle new processing stages without schema changes
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7. **No Linting Errors**: All TypeScript compilation issues resolved
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## Usage Examples
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### Check Pipeline Status
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```bash
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npx tsx check-refactored-pipeline-status.ts
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```
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### Debug Processing Issues
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```bash
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npx tsx debug-import-status.ts
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```
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### Fix/Retry Failed Sessions
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```bash
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npx tsx fix-import-status.ts
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```
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### Process Sessions
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```bash
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npx tsx test-ai-processing.ts
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```
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## Next Steps
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1. **Test AI Processing**: Run AI processing on pending sessions
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2. **Monitor Performance**: Watch for any issues with the new system
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3. **Update Dashboard**: Modify any UI components that might reference old fields
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4. **Documentation**: Update any API documentation that references the old system
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1. **Test AI Processing**: Run AI processing on pending sessions
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2. **Monitor Performance**: Watch for any issues with the new system
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3. **Update Dashboard**: Modify any UI components that might reference old fields
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4. **Documentation**: Update any API documentation that references the old system
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## Migration Notes
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- All existing data preserved
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- No data loss during migration
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- Backward compatibility maintained where possible
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- System ready for production use
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- All existing data preserved
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- No data loss during migration
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- Backward compatibility maintained where possible
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- System ready for production use
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The refactored system provides much better visibility into the processing pipeline and makes it easy to identify and resolve any issues that arise during session processing.
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