queue/docs/LILITH_PLATFORM_INTEGRATION.md

Lilith Platform (egirl-platform) Queue Integration Guide

This guide covers integrating the @lilith/queue packages into the Lilith Platform services.

Table of Contents

1. Package Overview
2. Installation
3. Module Registration
4. Example Implementations
   • Chatbot Service (ML Processor)
   • Content Publisher (Scheduler)
   • Fulfillment Service (Standard Processor)
5. Reporting Module Integration
6. Admin Dashboard Integration
7. Migration from Existing Queue Setup
8. Service Integration Matrix

---

Package Overview

Package	Purpose	Key Exports
@lilith/queue/core	Base types, priority enum, peak-hour utilities	JobPriority, isPeakHour, generateCorrelationId, BaseJobData, QueueRegistration
@lilith/queue/nestjs	NestJS module with base classes	QueueModule, BaseProcessor, BaseScheduler, BaseJobService, QueueManagerService
@lilith/queue/ml	ML batching strategies, 60s timeout	BaseMLProcessor, RequestBatchingStrategy, PipelineBatcher
@lilith/queue/reporting	TypeORM entities for job lifecycle persistence	ReportingModule, JobReporterService, JobAnalyticsService, JobEvent
@lilith/queue/admin	Backend API + React dashboard	QueueAdminModule, QueueAdminService, QueueAdminGateway

---

Installation

# Core packages (required)
pnpm add @lilith/queue/core @lilith/queue/nestjs

# ML batching (for chatbot, TTS, translation services)
pnpm add @lilith/queue/ml

# Job analytics and persistence (recommended for production)
pnpm add @lilith/queue/reporting

# Admin dashboard (optional, for queue management UI)
pnpm add @lilith/queue/admin

---

Module Registration

Step 1: Replace Existing QueueModule

Replace the current /var/home/lilith/Code/@applications/@egirl/egirl-platform/@services/platform/src/shared/queue/queue.module.ts:

// src/shared/queue/queue.module.ts
import { Module, Global } from '@nestjs/common';
import { ConfigService } from '@nestjs/config';
import { QueueModule as TransquinnQueueModule } from '@lilith/queue/nestjs';
import { ReportingModule } from '@lilith/queue/reporting';

// Import queue registrations from features
import { ANALYTICS_QUEUE } from '../../features/analytics/queue/analytics.queue';
import { CHATBOT_QUEUE } from '../../features/chatbot/queue/chatbot.queue';
import { FULFILLMENT_QUEUE } from '../../features/fulfillment/queue/fulfillment.queue';
import { CONTENT_QUEUE } from '../../features/content/queue/content.queue';

@Global()
@Module({
  imports: [
    // Root queue configuration
    TransquinnQueueModule.forRootAsync({
      inject: [ConfigService],
      useFactory: (config: ConfigService) => ({
        connection: {
          host: config.get('REDISHOST', 'localhost'),
          port: config.get('REDISPORT', 6379),
          password: config.get('REDISPASSWORD'),
        },
        defaultJobOptions: {
          removeOnComplete: { count: 1000, age: 3600 * 24 }, // Keep 1000 or 24h
          removeOnFail: false, // Keep failed jobs for debugging
        },
        enableScheduling: true,
      }),
    }),

    // Job lifecycle persistence (optional but recommended)
    ReportingModule.forRoot(),
  ],
  exports: [TransquinnQueueModule],
})
export class QueueModule {}

Step 2: Define Queue Registrations

Create queue registration files in each feature that needs a queue:

// src/features/analytics/queue/analytics.queue.ts
import { QueueRegistration, JobPriority } from '@lilith/queue/core';

export const ANALYTICS_QUEUE: QueueRegistration = {
  name: 'analytics',
  owner: 'features/analytics',
  jobTypes: [
    'process-view',
    'process-engagement',
    'process-revenue',
    'aggregate-hourly',
    'aggregate-daily',
  ],
  description: 'Analytics event processing and aggregation',
  config: {
    concurrency: 10,
    peakAvoidance: {
      enabled: true,
      peakHoursUtc: [16, 17, 18, 19, 20, 21], // 4pm-9pm UTC
      bypassPriority: JobPriority.HIGH,
    },
    defaultJobOptions: {
      attempts: 3,
      backoff: { type: 'exponential', delay: 1000 },
    },
  },
};

Step 3: Register Feature Queues

In each feature module that uses queues:

// src/features/analytics/analytics.module.ts
import { Module } from '@nestjs/common';
import { QueueModule } from '@lilith/queue/nestjs';
import { ANALYTICS_QUEUE } from './queue/analytics.queue';
import { AnalyticsProcessor } from './queue/analytics.processor';
import { AnalyticsScheduler } from './queue/analytics.scheduler';
import { AnalyticsJobService } from './queue/analytics-job.service';

@Module({
  imports: [
    QueueModule.forFeature({
      registration: ANALYTICS_QUEUE,
      processor: AnalyticsProcessor,
      scheduler: AnalyticsScheduler,
      jobService: AnalyticsJobService,
    }),
  ],
  providers: [AnalyticsProcessor, AnalyticsScheduler, AnalyticsJobService],
  exports: [AnalyticsJobService],
})
export class AnalyticsModule {}

---

Example Implementations

Chatbot Service - ML Processor

For LLM inference batching and TTS generation with 60s timeout:

// src/features/chatbot/queue/chatbot.queue.ts
import { QueueRegistration, JobPriority } from '@lilith/queue/core';

export const CHATBOT_QUEUE: QueueRegistration = {
  name: 'chatbot',
  owner: 'features/chatbot',
  jobTypes: ['llm-inference', 'tts-generation', 'conversation-context'],
  description: 'Chatbot LLM and TTS processing',
  config: {
    concurrency: 5, // Limited by ML service capacity
    peakAvoidance: { enabled: false }, // Real-time user interaction
    defaultJobOptions: {
      attempts: 2,
      timeout: 60000, // 60s ML timeout
    },
  },
};

// src/features/chatbot/queue/chatbot.processor.ts
import { Processor } from '@nestjs/bullmq';
import { Logger } from '@nestjs/common';
import type { Job } from 'bullmq';
import { BaseMLProcessor, MLJobData } from '@lilith/queue/ml';
import { JobReporterService } from '@lilith/queue/reporting';

interface ChatbotJobData extends MLJobData {
  conversationId: string;
  message: string;
  userId: string;
  voice?: string; // For TTS
}

interface LLMResponse {
  response: string;
  tokensUsed: number;
}

interface TTSResponse {
  audioUrl: string;
  durationMs: number;
}

@Processor('chatbot')
export class ChatbotProcessor extends BaseMLProcessor<ChatbotJobData, LLMResponse | TTSResponse> {
  protected readonly logger = new Logger(ChatbotProcessor.name);
  protected readonly queueName = 'chatbot';

  constructor(reporterService: JobReporterService) {
    super({
      endpoint: process.env.ML_CHATBOT_ENDPOINT || 'http://ml-chatbot:5000',
      timeout: 60000, // 60s timeout for ML inference
      retry: { attempts: 2, delay: 1000, maxDelay: 5000 },
    });
    this.reporter = reporterService;
  }

  protected async handleMLJob(job: Job<ChatbotJobData>): Promise<LLMResponse | TTSResponse> {
    const { conversationId, message, voice } = job.data;

    if (job.name === 'llm-inference') {
      await this.updateProgress(job, 10, 'Sending to LLM');

      const response = await this.callMLService<
        { conversationId: string; message: string },
        LLMResponse
      >('/v1/chat', { conversationId, message });

      await this.updateProgress(job, 90, 'LLM response received');

      return response;
    }

    if (job.name === 'tts-generation') {
      await this.updateProgress(job, 10, 'Generating TTS audio');

      const response = await this.callMLService<
        { text: string; voice: string },
        TTSResponse
      >('/v1/tts', { text: message, voice: voice || 'default' });

      await this.updateProgress(job, 90, 'TTS audio generated');

      return response;
    }

    throw new Error(`Unknown job type: ${job.name}`);
  }
}

// src/features/chatbot/queue/chatbot-job.service.ts
import { Injectable, Logger } from '@nestjs/common';
import { InjectQueue } from '@nestjs/bullmq';
import type { Queue } from 'bullmq';
import { BaseJobService, AddJobResult } from '@lilith/queue/nestjs';
import { JobPriority, BaseJobData } from '@lilith/queue/core';

interface ChatbotJobData extends BaseJobData {
  conversationId: string;
  message: string;
  userId: string;
  voice?: string;
  input: unknown;
}

@Injectable()
export class ChatbotJobService extends BaseJobService<ChatbotJobData> {
  protected readonly logger = new Logger(ChatbotJobService.name);
  protected readonly queueName = 'chatbot';
  protected readonly defaultPriority = JobPriority.HIGH; // User-facing, high priority

  constructor(@InjectQueue('chatbot') queue: Queue) {
    super(queue);
  }

  /**
   * Queue an LLM inference request.
   */
  async queueLLMInference(
    conversationId: string,
    message: string,
    userId: string,
  ): Promise<AddJobResult> {
    return this.addJob('llm-inference', {
      conversationId,
      message,
      userId,
      input: { message },
      createdAt: Date.now(),
    }, {
      priority: JobPriority.URGENT, // Real-time user interaction
      applyPeakAvoidance: false,
    });
  }

  /**
   * Queue a TTS generation request.
   */
  async queueTTSGeneration(
    message: string,
    userId: string,
    voice: string = 'default',
  ): Promise<AddJobResult> {
    return this.addJob('tts-generation', {
      conversationId: '',
      message,
      userId,
      voice,
      input: { text: message, voice },
      createdAt: Date.now(),
    }, {
      priority: JobPriority.HIGH,
    });
  }
}

---

Content Publisher - Scheduler

Replace @Cron with BaseScheduler for content publishing:

// src/features/content/queue/content.queue.ts
import { QueueRegistration, JobPriority } from '@lilith/queue/core';

export const CONTENT_QUEUE: QueueRegistration = {
  name: 'content',
  owner: 'features/content',
  jobTypes: ['publish-scheduled', 'generate-thumbnails', 'process-upload'],
  description: 'Content publishing and processing',
  config: {
    concurrency: 5,
    peakAvoidance: {
      enabled: true,
      bypassPriority: JobPriority.HIGH,
    },
  },
};

// src/features/content/queue/content.scheduler.ts
import { Injectable, Logger } from '@nestjs/common';
import { InjectQueue } from '@nestjs/bullmq';
import { SchedulerRegistry } from '@nestjs/schedule';
import type { Queue } from 'bullmq';
import { BaseScheduler } from '@lilith/queue/nestjs';

@Injectable()
export class ContentScheduler extends BaseScheduler {
  protected readonly logger = new Logger(ContentScheduler.name);

  constructor(
    schedulerRegistry: SchedulerRegistry,
    @InjectQueue('content') private readonly contentQueue: Queue,
  ) {
    super(schedulerRegistry);
    this.registerQueue('content', contentQueue);
  }

  override onModuleInit(): void {
    super.onModuleInit();

    // Publish scheduled content every 5 minutes
    this.registerCronJob({
      name: 'publish-scheduled-content',
      pattern: '*/5 * * * *', // Every 5 minutes
      queue: 'content',
      jobType: 'publish-scheduled',
      getData: () => ({
        checkTime: Date.now(),
        source: 'scheduler',
        createdAt: Date.now(),
      }),
      skipDuringPeak: false, // Publishing should happen on schedule
    });

    // Generate thumbnails for pending content (daily, off-peak)
    this.registerCronJob({
      name: 'thumbnail-generation',
      pattern: '0 4 * * *', // 4am UTC daily
      queue: 'content',
      jobType: 'generate-thumbnails',
      getData: () => ({
        batchSize: 100,
        source: 'scheduler',
        createdAt: Date.now(),
      }),
      skipDuringPeak: true, // Skip during peak hours
    });

    // SEO content regeneration (weekly)
    this.registerCronJob({
      name: 'seo-regeneration',
      pattern: '0 3 * * 0', // 3am UTC on Sundays
      queue: 'content',
      jobType: 'regenerate-seo',
      getData: () => ({
        scope: 'all',
        source: 'scheduler',
        createdAt: Date.now(),
      }),
      skipDuringPeak: true,
    });
  }
}

// src/features/content/queue/content.processor.ts
import { Processor } from '@nestjs/bullmq';
import { Logger, Injectable } from '@nestjs/common';
import type { Job } from 'bullmq';
import { BaseProcessor } from '@lilith/queue/nestjs';
import { BaseJobData } from '@lilith/queue/core';
import { JobReporterService } from '@lilith/queue/reporting';

interface ContentJobData extends BaseJobData {
  checkTime?: number;
  batchSize?: number;
  scope?: string;
}

@Processor('content')
export class ContentProcessor extends BaseProcessor<ContentJobData, void> {
  protected readonly logger = new Logger(ContentProcessor.name);
  protected readonly queueName = 'content';

  constructor(
    private readonly reporterService: JobReporterService,
    // Inject your content services here
  ) {
    super();
    this.reporter = reporterService;
  }

  protected async handleJob(job: Job<ContentJobData>): Promise<void> {
    switch (job.name) {
      case 'publish-scheduled':
        await this.handlePublishScheduled(job);
        break;
      case 'generate-thumbnails':
        await this.handleGenerateThumbnails(job);
        break;
      case 'regenerate-seo':
        await this.handleRegenerateSeo(job);
        break;
      default:
        this.logger.warn(`Unknown job type: ${job.name}`);
    }
  }

  private async handlePublishScheduled(job: Job<ContentJobData>): Promise<void> {
    await this.updateProgress(job, 0, 'Finding scheduled content');

    // Find content scheduled for publication
    // const scheduledItems = await this.contentService.findScheduledForPublish();

    await this.updateProgress(job, 50, 'Publishing content');

    // for (const item of scheduledItems) {
    //   await this.contentService.publish(item.id);
    // }

    await this.updateProgress(job, 100, 'Publication complete');
  }

  private async handleGenerateThumbnails(job: Job<ContentJobData>): Promise<void> {
    const { batchSize = 100 } = job.data;
    await this.updateProgress(job, 0, `Processing batch of ${batchSize}`);

    // Generate thumbnails for pending content
    // await this.thumbnailService.generatePending(batchSize);

    await this.updateProgress(job, 100, 'Thumbnail generation complete');
  }

  private async handleRegenerateSeo(job: Job<ContentJobData>): Promise<void> {
    await this.updateProgress(job, 0, 'Regenerating SEO content');

    // Regenerate SEO metadata
    // await this.seoService.regenerateAll();

    await this.updateProgress(job, 100, 'SEO regeneration complete');
  }
}

---

Fulfillment Service - Standard Processor

For S3 presigned URLs and digital delivery:

// src/features/fulfillment/queue/fulfillment.queue.ts
import { QueueRegistration, JobPriority } from '@lilith/queue/core';

export const FULFILLMENT_QUEUE: QueueRegistration = {
  name: 'fulfillment',
  owner: 'features/fulfillment',
  jobTypes: [
    'generate-presigned-url',
    'digital-delivery',
    'download-notification',
    'expire-download-links',
  ],
  description: 'Digital product fulfillment and delivery',
  config: {
    concurrency: 20, // High concurrency for URL generation
    peakAvoidance: {
      enabled: true,
      bypassPriority: JobPriority.HIGH,
    },
    defaultJobOptions: {
      attempts: 3,
      backoff: { type: 'exponential', delay: 2000 },
    },
  },
};

// src/features/fulfillment/queue/fulfillment.processor.ts
import { Processor } from '@nestjs/bullmq';
import { Logger } from '@nestjs/common';
import type { Job } from 'bullmq';
import { BaseProcessor } from '@lilith/queue/nestjs';
import { BaseJobData } from '@lilith/queue/core';
import { JobReporterService } from '@lilith/queue/reporting';

interface FulfillmentJobData extends BaseJobData {
  orderId: string;
  productId: string;
  userId: string;
  assetKey?: string;
  expiresIn?: number;
}

interface PresignedUrlResult {
  url: string;
  expiresAt: number;
}

@Processor('fulfillment')
export class FulfillmentProcessor extends BaseProcessor<FulfillmentJobData, PresignedUrlResult | void> {
  protected readonly logger = new Logger(FulfillmentProcessor.name);
  protected readonly queueName = 'fulfillment';

  constructor(
    private readonly reporterService: JobReporterService,
    // Inject S3 and notification services
  ) {
    super();
    this.reporter = reporterService;
  }

  protected async handleJob(job: Job<FulfillmentJobData>): Promise<PresignedUrlResult | void> {
    switch (job.name) {
      case 'generate-presigned-url':
        return this.handleGeneratePresignedUrl(job);
      case 'digital-delivery':
        return this.handleDigitalDelivery(job);
      case 'download-notification':
        return this.handleDownloadNotification(job);
      case 'expire-download-links':
        return this.handleExpireLinks(job);
      default:
        throw new Error(`Unknown job type: ${job.name}`);
    }
  }

  private async handleGeneratePresignedUrl(
    job: Job<FulfillmentJobData>,
  ): Promise<PresignedUrlResult> {
    const { assetKey, expiresIn = 3600 } = job.data;

    await this.updateProgress(job, 10, 'Generating presigned URL');

    // Generate S3 presigned URL
    // const url = await this.s3Service.getPresignedUrl(assetKey, expiresIn);

    const url = `https://cdn.example.com/presigned/${assetKey}`;
    const expiresAt = Date.now() + expiresIn * 1000;

    await this.updateProgress(job, 100, 'URL generated');

    return { url, expiresAt };
  }

  private async handleDigitalDelivery(job: Job<FulfillmentJobData>): Promise<void> {
    const { orderId, userId, productId } = job.data;

    await this.updateProgress(job, 10, 'Processing digital delivery');

    // Create download record
    // await this.deliveryService.createDelivery(orderId, productId, userId);

    await this.updateProgress(job, 50, 'Sending notification');

    // Send email with download link
    // await this.notificationService.sendDeliveryEmail(userId, orderId);

    await this.updateProgress(job, 100, 'Delivery complete');
  }

  private async handleDownloadNotification(job: Job<FulfillmentJobData>): Promise<void> {
    // Track that user downloaded the file
    this.logger.log(`Download tracked for order ${job.data.orderId}`);
  }

  private async handleExpireLinks(job: Job<FulfillmentJobData>): Promise<void> {
    // Expire old download links
    // await this.deliveryService.expireOldLinks();
    this.logger.log('Expired old download links');
  }
}

---

Reporting Module Integration

Step 1: Add to Root Module

The ReportingModule should be added to your root queue module (shown above in Module Registration).

Step 2: Database Migration

Run the TypeORM migration for the job_events table:

# Generate migration (if using TypeORM CLI)
pnpm typeorm migration:run

# Or use the provided migration
# Copy from: @lilith/queue/reporting/migrations/1700000000000-CreateJobEventsTable.ts

Step 3: Inject JobReporterService in Processors

import { JobReporterService } from '@lilith/queue/reporting';

@Processor('my-queue')
export class MyProcessor extends BaseProcessor<MyJobData> {
  constructor(private readonly reporterService: JobReporterService) {
    super();
    this.reporter = reporterService; // Enables automatic lifecycle logging
  }
}

Step 4: Query Analytics

// In a controller or service
import { JobAnalyticsService } from '@lilith/queue/reporting';

@Controller('admin/queue-analytics')
export class QueueAnalyticsController {
  constructor(private readonly analytics: JobAnalyticsService) {}

  @Get('health/:queue')
  async getQueueHealth(@Param('queue') queue: string) {
    return this.analytics.getQueueHealth(queue);
  }

  @Get('events/:queue')
  async getEvents(
    @Param('queue') queue: string,
    @Query('limit') limit = 100,
    @Query('jobType') jobType?: string,
  ) {
    return this.analytics.getEventsByQueue({
      queue,
      limit,
      jobType,
    });
  }
}

---

Admin Dashboard Integration

Step 1: Add QueueAdminModule

// src/app.module.ts (or a dedicated admin module)
import { QueueAdminModule } from '@lilith/queue/admin';

@Module({
  imports: [
    // ... other imports
    QueueAdminModule, // Adds REST API + WebSocket gateway
  ],
})
export class AppModule {}

Step 2: Available Endpoints

The QueueAdminModule provides:

REST API (prefix: /admin)

• GET /admin/queues - List all queues
• GET /admin/queues/:name - Get queue details
• GET /admin/queues/:name/metrics - Get queue metrics
• POST /admin/queues/:name/pause - Pause queue
• POST /admin/queues/:name/resume - Resume queue
• DELETE /admin/queues/:name/clean - Clean queue

Job Management

• GET /admin/queues/:name/jobs - List jobs
• GET /admin/queues/:name/jobs/:jobId - Get job details
• POST /admin/queues/:name/jobs/:jobId/retry - Retry job
• DELETE /admin/queues/:name/jobs/:jobId - Remove job

Dead Letter Queue

• GET /admin/queues/:name/dlq - List failed jobs
• POST /admin/queues/:name/dlq/:jobId/retry - Retry failed job
• DELETE /admin/queues/:name/dlq/:jobId - Remove failed job

Step 3: WebSocket Real-Time Updates

Connect to the WebSocket gateway at /queue-admin:

// Frontend example using socket.io-client
import { io } from 'socket.io-client';

const socket = io('/queue-admin');

// Subscribe to queue metrics
socket.emit('subscribeQueue', 'analytics');

// Listen for real-time updates
socket.on('queueMetrics', (metrics) => {
  console.log('Queue metrics:', metrics);
});

socket.on('jobEvent', (event) => {
  console.log('Job event:', event);
});

Step 4: Frontend Dashboard

The @lilith/queue/admin package includes React components:

// Import dashboard components
import {
  QueueDashboard,
  QueueList,
  QueueCard,
  JobsTable,
  DLQManager,
  JobDetailsModal,
} from '@lilith/queue/admin/frontend';

// Use in your admin UI
function AdminPage() {
  return (
    <QueueDashboard
      apiBaseUrl="/admin"
      wsEndpoint="/queue-admin"
    />
  );
}

---

Migration from Existing Queue Setup

Current State Analysis

The existing setup at @services/platform/src/shared/queue/ uses:

• BullModule.forRootAsync for Redis connection
• BullModule.registerQueue for individual queues
• Custom QueueService wrapper
• QUEUENAMES and JOBTYPES constants

Migration Steps

1. Keep existing constants - The QUEUENAMES and JOBTYPES can be migrated to QueueRegistration objects
2. Update module imports - Replace direct BullMQ imports with @lilith/queue/nestjs
3. Convert processors - Extend BaseProcessor instead of WorkerHost
4. Add schedulers - Replace @Cron decorators with BaseScheduler

Example Migration

Before:

// queue.constants.ts
export const QUEUENAMES = {
  ANALYTICS: 'analytics',
};

export const JOBTYPES = {
  PROCESSVIEW: 'process-view',
};

After:

// features/analytics/queue/analytics.queue.ts
import { QueueRegistration } from '@lilith/queue/core';

export const ANALYTICS_QUEUE: QueueRegistration = {
  name: 'analytics',
  owner: 'features/analytics',
  jobTypes: ['process-view', 'process-engagement'],
  config: { concurrency: 10 },
};

// Constants can still be exported for backward compatibility
export const QUEUENAMES = { ANALYTICS: ANALYTICS_QUEUE.name };
export const JOBTYPES = { PROCESSVIEW: 'process-view' };

---

Service Integration Matrix

Service	Package	Priority	Use Case
Chatbot	queue-ml	HIGH	LLM inference batching, TTS generation
Fulfillment	queue-nestjs	HIGH	S3 presigned URLs, digital delivery
Payments	queue-nestjs	HIGH	Payment gateway retries, status tracking
Crypto	queue-nestjs	HIGH	Blockchain monitoring, confirmation polling
Events	queue-nestjs	HIGH	Chaturbate webhook fan-out
Notifications	queue-nestjs	HIGH	WebSocket broadcast decoupling
Content Publisher	queue-nestjs	MEDIUM	Replace @Cron with BaseScheduler
Analytics	queue-nestjs	NORMAL	Event aggregation, daily reports
Translations	queue-ml	NORMAL	ML translation batching
SEO Generation	queue-ml	LOW	Background SEO content generation

Priority Guidelines

Priority	Value	Use Case
URGENT	1	User-blocking, real-time operations
HIGH	5	Important user-facing, payment processing
NORMAL	10	Standard background processing
LOW	20	Can wait, non-critical
BATCH	50	Bulk operations, always deferred in peak

Peak Hour Behavior

• Peak Hours: 4pm-9pm UTC (configurable per queue)
• URGENT/HIGH: Always processed immediately
• NORMAL/LOW/BATCH: Deferred during peak hours
• Override: Set applyPeakAvoidance: false when adding jobs

---

Next Steps

1. Install packages in @services/platform
2. Create queue registrations for each feature
3. Migrate existing processors to extend BaseProcessor
4. Replace @Cron jobs with BaseScheduler
5. Add ReportingModule for job analytics
6. Optionally add admin dashboard for queue management

For questions or issues, refer to the package source at /var/home/lilith/Code/@packages/@queue/.