mirror of
https://github.com/kjanat/livedash-node.git
synced 2026-01-16 08:32:09 +01:00
feat: refactor session processing pipeline to implement multi-stage tracking and enhance error handling
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@ -1,96 +0,0 @@
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import { PrismaClient } from '@prisma/client';
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const prisma = new PrismaClient();
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async function checkPipelineStatus() {
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try {
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console.log('=== COMPLETE PIPELINE STATUS ===\n');
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// Stage 1: SessionImport status
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console.log('1. SessionImport Status:');
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const importCounts = await prisma.sessionImport.groupBy({
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by: ['status'],
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_count: { status: true }
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});
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const totalImports = await prisma.sessionImport.count();
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console.log(` Total imports: ${totalImports}`);
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importCounts.forEach(({ status, _count }) => {
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console.log(` ${status}: ${_count.status}`);
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});
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// Stage 2: Session creation status
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console.log('\n2. Session Creation Status:');
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const totalSessions = await prisma.session.count();
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const sessionsWithMessages = await prisma.session.count({
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where: { messages: { some: {} } }
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});
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const sessionsWithoutMessages = await prisma.session.count({
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where: { messages: { none: {} } }
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});
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console.log(` Total sessions: ${totalSessions}`);
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console.log(` Sessions with messages: ${sessionsWithMessages}`);
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console.log(` Sessions without messages: ${sessionsWithoutMessages}`);
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// Stage 3: AI Processing status
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console.log('\n3. AI Processing Status:');
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const processedSessions = await prisma.session.count({
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where: { processed: true }
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});
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const unprocessedSessions = await prisma.session.count({
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where: { processed: false }
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});
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console.log(` Processed sessions: ${processedSessions}`);
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console.log(` Unprocessed sessions: ${unprocessedSessions}`);
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// Stage 4: Questions extracted
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console.log('\n4. Question Extraction Status:');
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const sessionsWithQuestions = await prisma.session.count({
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where: { sessionQuestions: { some: {} } }
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});
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const totalQuestions = await prisma.question.count();
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console.log(` Sessions with questions: ${sessionsWithQuestions}`);
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console.log(` Total unique questions: ${totalQuestions}`);
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// Show what needs processing
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console.log('\n=== WHAT NEEDS PROCESSING ===');
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const queuedImports = await prisma.sessionImport.count({
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where: { status: 'QUEUED' }
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});
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console.log(`• ${queuedImports} SessionImports need import processing`);
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const sessionsNeedingAI = await prisma.session.count({
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where: {
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AND: [
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{ messages: { some: {} } },
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{ processed: false }
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]
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}
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});
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console.log(`• ${sessionsNeedingAI} Sessions need AI processing`);
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// Sample of what's pending
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if (queuedImports > 0) {
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console.log('\nSample queued imports:');
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const sampleImports = await prisma.sessionImport.findMany({
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where: { status: 'QUEUED' },
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select: { externalSessionId: true, createdAt: true },
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take: 5
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});
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sampleImports.forEach(imp => {
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console.log(` ${imp.externalSessionId} (created: ${imp.createdAt})`);
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});
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}
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} catch (error) {
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console.error('Error checking pipeline status:', error);
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} finally {
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await prisma.$disconnect();
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}
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}
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checkPipelineStatus();
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133
docs/processing-system-refactor.md
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133
docs/processing-system-refactor.md
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@ -0,0 +1,133 @@
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# Processing System Refactor - Complete
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## Overview
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Successfully refactored the session processing pipeline from a simple status-based system to a comprehensive multi-stage processing status system. This addresses the original issues with the SessionImport table's `status` and `errorMsg` columns.
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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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### 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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## 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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TRANSCRIPT_FETCH // Transcript content fetched
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SESSION_CREATION // Session + Messages created
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AI_ANALYSIS // AI processing completed
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QUESTION_EXTRACTION // Questions extracted
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}
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enum ProcessingStatus {
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PENDING, IN_PROGRESS, COMPLETED, FAILED, SKIPPED
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}
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```
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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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#### 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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#### 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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## 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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## 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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### 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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### Removed Files
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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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## 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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## 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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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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@ -1,8 +1,9 @@
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// Enhanced session processing scheduler with AI cost tracking and question management
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import cron from "node-cron";
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import { PrismaClient, SentimentCategory, SessionCategory } from "@prisma/client";
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import { PrismaClient, SentimentCategory, SessionCategory, ProcessingStage } from "@prisma/client";
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import fetch from "node-fetch";
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import { getSchedulerConfig } from "./schedulerConfig";
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import { ProcessingStatusManager } from "./processingStatusManager";
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const prisma = new PrismaClient();
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const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
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@ -382,6 +383,9 @@ async function processSingleSession(session: any): Promise<ProcessingResult> {
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}
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try {
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// Mark AI analysis as started
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await ProcessingStatusManager.startStage(session.id, ProcessingStage.AI_ANALYSIS);
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// Convert messages back to transcript format for OpenAI processing
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const transcript = session.messages
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.map((msg: any) =>
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@ -406,9 +410,6 @@ async function processSingleSession(session: any): Promise<ProcessingResult> {
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// Calculate endTime from latest Message timestamp
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const calculatedEndTime = await calculateEndTime(session.id, session.endTime);
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// Process questions into separate tables
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await processQuestions(session.id, processedData.questions);
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// Update the session with processed data
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await prisma.session.update({
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where: { id: session.id },
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@ -421,15 +422,40 @@ async function processSingleSession(session: any): Promise<ProcessingResult> {
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forwardedHr: processedData.forwarded_hr,
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category: processedData.category as SessionCategory,
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summary: processedData.summary,
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processed: true,
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},
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});
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// Mark AI analysis as completed
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await ProcessingStatusManager.completeStage(session.id, ProcessingStage.AI_ANALYSIS, {
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language: processedData.language,
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sentiment: processedData.sentiment,
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category: processedData.category,
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questionsCount: processedData.questions.length
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});
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// Start question extraction stage
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await ProcessingStatusManager.startStage(session.id, ProcessingStage.QUESTION_EXTRACTION);
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// Process questions into separate tables
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await processQuestions(session.id, processedData.questions);
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// Mark question extraction as completed
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await ProcessingStatusManager.completeStage(session.id, ProcessingStage.QUESTION_EXTRACTION, {
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questionsProcessed: processedData.questions.length
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});
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return {
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sessionId: session.id,
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success: true,
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};
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} catch (error) {
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// Mark AI analysis as failed
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await ProcessingStatusManager.failStage(
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session.id,
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ProcessingStage.AI_ANALYSIS,
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error instanceof Error ? error.message : String(error)
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);
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return {
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sessionId: session.id,
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success: false,
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@ -471,32 +497,36 @@ async function processSessionsInParallel(sessions: any[], maxConcurrency: number
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}
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/**
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* Process unprocessed sessions
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* Process unprocessed sessions using the new processing status system
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*/
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export async function processUnprocessedSessions(batchSize: number | null = null, maxConcurrency: number = 5): Promise<void> {
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process.stdout.write("[ProcessingScheduler] Starting to process unprocessed sessions...\n");
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process.stdout.write("[ProcessingScheduler] Starting to process sessions needing AI analysis...\n");
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// Find sessions that have messages but haven't been processed
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const queryOptions: any = {
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// Get sessions that need AI processing using the new status system
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const sessionsNeedingAI = await ProcessingStatusManager.getSessionsNeedingProcessing(
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ProcessingStage.AI_ANALYSIS,
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batchSize || 50
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);
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if (sessionsNeedingAI.length === 0) {
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process.stdout.write("[ProcessingScheduler] No sessions found requiring AI processing.\n");
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return;
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}
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// Get session IDs that need processing
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const sessionIds = sessionsNeedingAI.map(statusRecord => statusRecord.sessionId);
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// Fetch full session data with messages
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const sessionsToProcess = await prisma.session.findMany({
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where: {
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AND: [
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{ messages: { some: {} } }, // Must have messages
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{ processed: false }, // Only unprocessed sessions
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],
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id: { in: sessionIds }
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},
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include: {
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messages: {
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orderBy: { order: "asc" },
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},
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},
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};
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// Add batch size limit if specified
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if (batchSize && batchSize > 0) {
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queryOptions.take = batchSize;
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}
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const sessionsToProcess = await prisma.session.findMany(queryOptions);
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});
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// Filter to only sessions that have messages
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const sessionsWithMessages = sessionsToProcess.filter(
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@ -504,7 +534,7 @@ export async function processUnprocessedSessions(batchSize: number | null = null
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);
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if (sessionsWithMessages.length === 0) {
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process.stdout.write("[ProcessingScheduler] No sessions found requiring processing.\n");
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process.stdout.write("[ProcessingScheduler] No sessions with messages found requiring processing.\n");
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return;
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}
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