PRODUCTION_DASHBOARD.md

Content Production Dashboard - Technical Requirements

Architecture Overview

• Frontend: React 18+ with TypeScript, Vite for build tooling
• State Management: Redux Toolkit or Zustand for global state
• API Layer: GraphQL with Apollo Client
• Backend: Node.js with GraphQL (Apollo Server) or Python with Strawberry
• Database: PostgreSQL with Redis for caching
• File Storage: AWS S3 or similar with CDN
• Real-time: GraphQL subscriptions or WebSocket connections

Core Features & Technical Implementation

1. Authentication & Authorization System

Requirements:

• JWT-based authentication with refresh tokens
• Role-based access control (Admin, Producer, Creator, Reviewer)
• Multi-tenant support (different production companies)

Technical Implementation:

• Custom React hooks for auth state (useAuth, usePermissions)
• Protected route wrapper components
• GraphQL context with user permissions
• Database: Users, Roles, Permissions junction tables

Key Components:

interface User {
  id: string;
  email: string;
  roles: Role[];
  tenantId: string;
  lastActive: Date;
}

interface Permission {
  resource: 'project' | 'asset' | 'review';
  action: 'create' | 'read' | 'update' | 'delete' | 'approve';
}

2. Project Management System

Requirements:

• Kanban-style project boards with custom workflows
• Drag-and-drop task management
• Gantt chart timeline view
• Resource allocation and capacity planning
• Automated status transitions based on approvals

Technical Implementation:

• React DnD library for drag-and-drop
• Custom hook for project state management
• GraphQL mutations with optimistic updates
• Real-time sync across all connected clients
• Caching strategy for project data

Data Models:

interface Project {
  id: string;
  title: string;
  type: 'series' | 'film' | 'documentary';
  status: ProjectStatus;
  stages: Stage[];
  assignees: User[];
  timeline: ProjectTimeline;
  budget: Budget;
  createdAt: Date;
  updatedAt: Date;
}

interface Stage {
  id: string;
  name: string;
  order: number;
  tasks: Task[];
  requirements: StageRequirement[];
  estimatedDuration: number;
}

3. Asset Management Library

Requirements:

• Upload support for multiple file types (video, images, documents, scripts)
• Chunked upload with resume capability for large files
• Automatic thumbnail/preview generation
• Version control with diff viewing
• Advanced search with filters and tagging
• Batch operations (upload, download, approve)

Technical Implementation:

• File upload with progress tracking using axios or fetch
• Preview generation using canvas API for images, video thumbnails
• Search implementation with Elasticsearch or database full-text search
• Virtual scrolling for large asset lists
• Lazy loading with intersection observer

Performance Considerations:

• Image optimization and multiple resolutions
• CDN integration for global asset delivery
• Metadata indexing for fast search
• Pagination with cursor-based navigation

interface Asset {
  id: string;
  filename: string;
  originalName: string;
  mimeType: string;
  size: number;
  url: string;
  thumbnails: AssetThumbnail[];
  versions: AssetVersion[];
  metadata: AssetMetadata;
  tags: string[];
  projectId: string;
  uploadedBy: string;
  createdAt: Date;
}

interface AssetVersion {
  id: string;
  versionNumber: number;
  changes: string;
  url: string;
  createdBy: string;
  createdAt: Date;
}

4. Review & Approval Workflow

Requirements:

• Threaded commenting system on assets
• Time-stamped annotations for video/audio files
• Approval chains with multiple reviewers
• Email notifications and in-app notifications
• Review assignment and deadline tracking
• Compare versions side-by-side

Technical Implementation:

• Real-time comments using GraphQL subscriptions
• Canvas overlay for image annotations
• Video player with timestamp markers
• Notification system with email integration
• State machine for approval workflows

interface Review {
  id: string;
  assetId: string;
  status: 'pending' | 'approved' | 'rejected' | 'needs_changes';
  reviewers: ReviewAssignment[];
  comments: Comment[];
  deadline: Date;
  approvalChain: ApprovalStep[];
}

interface Comment {
  id: string;
  content: string;
  timestamp?: number; // for video/audio
  coordinates?: { x: number; y: number }; // for images
  author: User;
  replies: Comment[];
  createdAt: Date;
}

5. Analytics & Reporting Dashboard

Requirements:

• Real-time project health metrics
• Resource utilization charts
• Timeline vs actual completion tracking
• Bottleneck identification
• Custom report generation
• Export capabilities (PDF, Excel)

Technical Implementation:

• Chart.js or D3.js for data visualization
• Real-time data updates via WebSocket or polling
• Aggregation queries for performance
• PDF generation using libraries like jsPDF
• Caching layer for expensive calculations

Performance Requirements

Frontend Performance

• Bundle Size: Main bundle < 500KB gzipped
• Code Splitting: Route-based and component-based lazy loading
• Caching: Implement proper cache headers and service worker
• Virtual Scrolling: For lists with 1000+ items
• Image Optimization: WebP format with fallbacks, lazy loading

Backend Performance

• API Response Time: < 200ms for 95% of queries
• File Upload: Support files up to 5GB with resumable uploads
• Concurrent Users: Support 500+ simultaneous users
• Database: Proper indexing, query optimization, connection pooling
• Caching: Redis for session data, GraphQL query caching

Observability & Monitoring

Error Tracking

• Frontend: Sentry or similar for React error boundaries
• Backend: Structured logging with correlation IDs
• User action tracking for debugging
• Performance monitoring with Web Vitals

Metrics & Alerting

• Application metrics (response times, error rates)
• Business metrics (project completion rates, review turnaround)
• Infrastructure monitoring (CPU, memory, database performance)
• Custom dashboards in Grafana or similar

Development & Deployment

Development Environment

• Docker containers for consistent local development
• Database seeding scripts with realistic test data
• Mock services for external dependencies
• Hot reloading for both frontend and backend

Testing Strategy

• Unit Tests: 80%+ coverage for business logic
• Integration Tests: API endpoints and database interactions
• E2E Tests: Critical user workflows with Playwright or Cypress
• Performance Tests: Load testing with k6 or Artillery

CI/CD Pipeline

• Automated testing on pull requests
• Preview deployments for feature branches
• Blue-green deployment strategy
• Database migration automation
• Feature flags for gradual rollouts

Security Requirements

• Input validation and sanitization
• SQL injection prevention
• XSS protection with CSP headers
• File upload security (virus scanning, type validation)
• Rate limiting on API endpoints
• Audit logging for sensitive operations

Progressive Enhancement Features

Phase 1 Additions

• Mobile-responsive design
• Offline capability for viewing assets
• Keyboard shortcuts for power users
• Dark mode support

Phase 2 Additions

• Integration with external tools (Slack, Jira)
• AI-powered asset tagging and search
• Advanced analytics with predictive insights
• Multi-language support

Success Metrics

• User Adoption: 90% of team members active weekly
• Performance: Page load times under 2 seconds
• Reliability: 99.9% uptime
• User Satisfaction: NPS score > 50