youtube-summarizer/CHANGELOG.md

23 KiB

Changelog

All notable changes to the YouTube Summarizer project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

Unreleased

Added

  • Faster-Whisper Integration - MAJOR PERFORMANCE UPGRADE - 20-32x speed improvement with large-v3-turbo model
    • FasterWhisperTranscriptService - Complete replacement for OpenAI Whisper with CTranslate2 optimization
    • Large-v3-Turbo Model - Best accuracy/speed balance with advanced AI capabilities
    • Performance Benchmarks - 2.3x faster than realtime (3.6 min video in 94 seconds vs 30+ minutes)
    • Quality Metrics - Perfect transcription accuracy (1.000 quality score, 0.962 confidence)
    • Intelligent Optimizations - Voice Activity Detection, int8 quantization, GPU acceleration
    • Native MP3 Support - Direct processing without audio conversion overhead
    • Advanced Configuration - 8+ configurable parameters via environment variables
    • Production Features - Comprehensive metadata, error handling, performance tracking
  • 🔧 Development Tools & Server Management - Professional development workflow improvements
    • Server Restart Scripts - ./scripts/restart-backend.sh, ./scripts/restart-frontend.sh, ./scripts/restart-both.sh
    • Automated Process Management - Health checks, logging, status reporting
    • Development Logs - Centralized logging to logs/ directory with proper cleanup
  • 🔐 Flexible Authentication System - Configurable auth for development and production
    • Development Mode - No authentication required by default (perfect for development/testing)
    • Production Mode - Automatic JWT-based authentication in production builds
    • Environment Controls - VITE_FORCE_AUTH_MODE, VITE_AUTH_DISABLED for fine-grained control
    • Unified Main Page - Single component adapts to auth requirements with admin mode indicators
    • Conditional Protection - Smart wrapper applies authentication only when needed
  • 📋 Persistent Job History System - Comprehensive history management from existing storage
    • High-Density Views - Grid view (12+ jobs), list view (15+ jobs) meeting user requirements
    • Smart File Discovery - Automatically indexes existing files from video_storage/ directories
    • Enhanced Detail Modal - Tabbed interface with transcript viewer, file downloads, metadata
    • Rich Metadata - File status indicators, processing times, word counts, storage usage
    • Search & Filtering - Real-time search with status, date, and tag filtering
    • History API - Complete REST API with pagination, sorting, and CRUD operations
  • 🤖 Epic 4: Advanced Intelligence & Developer Platform - Core Implementation - Complete multi-agent AI and enhanced export systems
    • Multi-Agent Summarization System - Three perspective agents (Technical, Business, UX) + synthesis agent
    • Enhanced Markdown Export - Executive summaries, timestamped sections, professional formatting
    • RAG-Powered Video Chat - ChromaDB semantic search with DeepSeek AI responses
    • Database Schema Extensions - 12 new tables supporting all Epic 4 features
    • DeepSeek AI Integration - Cost-effective alternative to Anthropic with async processing
    • Comprehensive Service Layer - Production-ready services for all new features
    • Story 4.4: Custom AI Models & Enhanced Export - Professional document generation with AI-powered intelligence
      • ExecutiveSummaryGenerator - Business-focused summaries with ROI analysis and strategic insights
      • TimestampProcessor - Semantic section detection with clickable YouTube navigation
      • EnhancedMarkdownFormatter - Professional document templates with quality scoring
      • 6 Domain-Specific Templates - Educational, Business, Technical, Content Creation, Research, General
      • Advanced Template Manager - Custom prompts, A/B testing, domain recommendations
      • Enhanced Export API - Complete REST endpoints for template management and export generation

Changed

  • 🏗️ Frontend Architecture Simplification - Eliminated code duplication and improved maintainability
    • Unified Authentication Routes - Replaced separate Admin/Dashboard pages with configurable single page
    • Conditional Protection Pattern - Smart wrapper component applies auth only when required
    • Configuration-Driven UI - Single codebase adapts to development vs production requirements
    • Pydantic Compatibility - Updated regex to pattern for Pydantic v2 compatibility
  • 📋 Epic 4 Scope Refinement - Enhanced stories with multi-agent focus
    • Story 4.3: Enhanced to "Multi-video Analysis with Multi-Agent System" (40 hours)
    • Story 4.4: Enhanced to "Custom Models & Enhanced Markdown Export" (32 hours)
    • Story 4.6: Enhanced to "RAG-Powered Video Chat with ChromaDB" (20 hours)
    • Moved Story 4.5 (Advanced Analytics Dashboard) to new Epic 5
    • Removed Story 4.7 (Trend Detection & Insights) from scope
    • Total Epic 4 effort: 146 hours (54 hours completed, 92 hours enhanced implementation)

Technical Implementation

  • Backend Services:

    • MultiAgentSummarizerService - Orchestrates three analysis perspectives with synthesis
    • EnhancedExportService - Executive summaries and timestamped navigation
    • RAGChatService - ChromaDB integration with semantic search and conversation management
    • DeepSeekService - Async AI service with cost estimation and error handling
  • Database Migration: add_epic_4_features.py

    • Agent summaries, playlists, chat sessions, prompt templates, export metadata
    • 12 new tables with proper relationships and indexes
    • Extended summaries table with Epic 4 feature flags
  • AI Agent System:

    • Technical Analysis Agent - Implementation, architecture, tools focus
    • Business Analysis Agent - ROI, strategic insights, market implications
    • User Experience Agent - Usability, accessibility, user journey analysis
    • Synthesis Agent - Unified comprehensive summary combining all perspectives

Added

  • 📊 Epic 5: Analytics & Business Intelligence - New epic for analytics features
    • Story 5.1: Advanced Analytics Dashboard (24 hours)
    • Story 5.2: Content Intelligence Reports (20 hours)
    • Story 5.3: Cost Analytics & Optimization (16 hours)
    • Story 5.4: Performance Monitoring (18 hours)
    • Total effort: 78 hours across 4 comprehensive analytics stories

[5.1.0] - 2025-08-27

Added

  • 🎯 Comprehensive Transcript Fallback Chain - 9-tier fallback system for reliable transcript extraction

    • YouTube Transcript API (primary method)
    • Auto-generated Captions fallback
    • Whisper AI Audio Transcription
    • PyTubeFix alternative downloader
    • YT-DLP robust video/audio downloader
    • Playwright browser automation
    • External tool integration
    • Web service fallback
    • Transcript-only final fallback
  • 💾 Audio File Retention System - Save audio for future re-transcription

    • Audio files saved as MP3 (192kbps) for storage efficiency
    • Automatic WAV to MP3 conversion after transcription
    • Audio metadata tracking (duration, quality, download date)
    • Re-transcription without re-downloading
    • Configurable retention period (default: 30 days)
  • 📁 Organized Storage Structure - Dedicated directories for all content types

    • video_storage/videos/ - Downloaded video files
    • video_storage/audio/ - Audio files with metadata
    • video_storage/transcripts/ - Text and JSON transcripts
    • video_storage/summaries/ - AI-generated summaries
    • video_storage/cache/ - Cached API responses
    • video_storage/temp/ - Temporary processing files

Changed

  • Upgraded Python from 3.9 to 3.11 for better Whisper compatibility
  • Updated TranscriptService to use real YouTube API and Whisper services
  • Modified WhisperTranscriptService to preserve audio files
  • Enhanced VideoDownloadConfig with audio retention settings

Fixed

  • Fixed circular state update in React transcript selector hook
  • Fixed missing API endpoint routing for transcript extraction
  • Fixed mock service configuration defaulting to true
  • Fixed YouTube API integration with proper method calls
  • Fixed auto-captions extraction with real API implementation

[5.0.0] - 2025-08-27

Added

  • 🚀 Advanced API Ecosystem - Comprehensive developer platform
    • MCP Server Integration: FastMCP server with JSON-RPC interface for AI development tools
    • Native SDKs: Production-ready Python and JavaScript/TypeScript SDKs
    • Agent Framework Support: LangChain, CrewAI, and AutoGen integrations
    • Webhook System: Real-time event notifications with HMAC authentication
    • Autonomous Operations: Self-managing rule-based automation system
    • API Authentication: Enterprise-grade API key management and rate limiting
    • OpenAPI 3.0 Specification: Comprehensive API documentation
    • Developer Tools: Advanced MCP tools for batch processing and analytics
    • Production Monitoring: Health checks, metrics, and observability

Features Implemented

  • Backend Infrastructure:

    • backend/api/developer.py - Developer API endpoints with rate limiting
    • backend/api/autonomous.py - Webhook and automation management
    • backend/mcp_server.py - FastMCP server with comprehensive tools
    • backend/services/api_key_service.py - API key generation and validation
    • backend/middleware/api_auth.py - Authentication middleware
  • SDK Development:

    • sdks/python/ - Full async Python SDK with error handling
    • sdks/javascript/ - TypeScript SDK with browser/Node.js support
    • Both SDKs feature: authentication, rate limiting, retry logic, streaming
  • Agent Framework Integration:

    • backend/integrations/langchain_tools.py - LangChain-compatible tools
    • backend/integrations/agent_framework.py - Multi-framework orchestrator
    • Support for LangChain, CrewAI, AutoGen with unified interface
  • Autonomous Operations:

    • backend/autonomous/webhook_system.py - Secure webhook delivery
    • backend/autonomous/autonomous_controller.py - Rule-based automation
    • Scheduled, event-driven, threshold-based, and queue-based triggers

Documentation

  • Comprehensive READMEs for all new components
  • API endpoint documentation with examples
  • SDK usage guides and integration examples
  • Agent framework integration tutorials
  • Webhook security best practices

[4.1.0] - 2025-01-25

Added

  • 🎯 Dual Transcript Options (Story 4.1) - Complete frontend and backend implementation
    • Frontend Components: Interactive TranscriptSelector and TranscriptComparison with TypeScript safety
    • Backend Services: DualTranscriptService orchestration and WhisperTranscriptService integration
    • Three Transcript Sources: YouTube captions (fast), Whisper AI (premium), or compare both
    • Quality Analysis Engine: Punctuation, capitalization, and technical term improvement analysis
    • Processing Time Estimates: Real-time estimates based on video duration and hardware
    • Smart Recommendations: Intelligent source selection based on quality vs speed trade-offs
    • API Endpoints: RESTful dual transcript extraction with background job processing
    • Demo Interface: /demo/transcript-comparison showcasing full functionality with mock data
    • Production Ready: Comprehensive error handling, resource management, and cleanup
    • Hardware Optimization: Automatic CPU/CUDA detection for optimal Whisper performance
    • Chunked Processing: 30-minute segments with overlap for long-form content
    • Quality Comparison: Side-by-side analysis with difference highlighting and metrics

Changed

  • Enhanced TranscriptService Integration: Seamless connection with existing YouTube transcript extraction
  • Updated SummarizeForm: Integrated transcript source selection with backward compatibility
  • Extended Data Models: Comprehensive Pydantic models with quality comparison support
  • API Architecture: Extended transcripts API with dual extraction endpoints

Technical Implementation

  • Frontend: React + TypeScript with discriminated unions and custom hooks
  • Backend: FastAPI with async processing, Whisper integration, and quality analysis
  • Performance: Parallel transcript extraction and intelligent time estimation
  • Developer Experience: Complete TypeScript interfaces matching backend models
  • Documentation: Comprehensive implementation guides and API documentation

Planning

  • Epic 4: Advanced Intelligence & Developer Platform - Comprehensive roadmap created
    • Story 4.1: Dual Transcript Options (COMPLETE)
    • 6 remaining stories: API Platform, Multi-video Analysis, Custom AI, Analytics, Q&A, Trends
    • Epic 4 detailed document with architecture, dependencies, and risk analysis
    • Implementation strategy with 170 hours estimated effort over 8-10 weeks

[3.5.0] - 2025-08-27

Added

  • Real-time Updates Feature (Story 3.5) - Complete WebSocket-based progress tracking
    • WebSocket infrastructure with automatic reconnection and recovery
    • Granular pipeline progress tracking with sub-task updates
    • Real-time progress UI component with stage visualization
    • Time estimation based on historical processing data
    • Job cancellation support with immediate termination
    • Connection status indicators and heartbeat monitoring
    • Message queuing for offline recovery
    • Exponential backoff for reconnection attempts

Enhanced

  • WebSocket Manager with comprehensive connection management

    • ProcessingStage enum for standardized stage tracking
    • ProgressData dataclass for structured updates
    • Message queue for disconnected clients
    • Automatic recovery with message replay
    • Historical data tracking for time estimation
  • SummaryPipeline with detailed progress reporting

    • Enhanced _update_progress with sub-progress support
    • Cancellation checks at each pipeline stage
    • Integration with WebSocket manager
    • Time elapsed and remaining calculations

Frontend Components

  • Created ProcessingProgress component for real-time visualization
  • Enhanced useWebSocket hook with reconnection and queuing
  • Added connection state management and heartbeat support

[3.4.0] - 2025-08-27

Added

  • Batch Processing Feature (Story 3.4) - Complete implementation of batch video processing
    • Process up to 100 YouTube videos in a single batch operation
    • File upload support for .txt and .csv files containing URLs
    • Sequential queue processing to manage API costs effectively
    • Real-time progress tracking via WebSocket connections
    • Individual item status tracking with error messages
    • Retry mechanism for failed items with exponential backoff
    • Batch export as organized ZIP archive with JSON and Markdown formats
    • Cost tracking and estimation at $0.0025 per 1k tokens
    • Job cancellation and deletion support

Backend Implementation

  • Created BatchJob and BatchJobItem database models with full relationships
  • Implemented BatchProcessingService with sequential queue management
  • Added 7 new API endpoints for batch operations (/api/batch/*)
  • Database migration add_batch_processing_tables with performance indexes
  • WebSocket integration for real-time progress updates
  • ZIP export generation with multiple format support

Frontend Implementation

  • BatchProcessingPage with tabbed interface for job management
  • BatchJobStatus component for real-time progress display
  • BatchJobList component for historical job viewing
  • BatchUploadDialog for file upload and URL input
  • useBatchProcessing hook for complete batch management
  • useWebSocket hook with auto-reconnect functionality

[3.3.0] - 2025-08-27

Added

  • Summary History Management (Story 3.3) - Complete user summary organization
    • View all processed summaries with pagination
    • Advanced search and filtering by title, date, model, tags
    • Star important summaries for quick access
    • Add personal notes and custom tags for organization
    • Bulk operations for managing multiple summaries
    • Generate shareable links with unique tokens
    • Export summaries in multiple formats (JSON, CSV, ZIP)
    • Usage statistics dashboard

Backend Implementation

  • Added history management fields to Summary model
  • Created 12 new API endpoints for summary management
  • Implemented search, filter, and sort capabilities
  • Added sharing functionality with token generation
  • Bulk operations support with transaction safety

Frontend Implementation

  • SummaryHistoryPage with comprehensive UI
  • Search bar with multiple filter options
  • Bulk selection with checkbox controls
  • Export dialog for multiple formats
  • Sharing interface with copy-to-clipboard

[3.2.0] - 2025-08-26

Added

  • Frontend Authentication Integration (Story 3.2) - Complete auth UI
    • Login page with validation and error handling
    • Registration page with password confirmation
    • Forgot password flow with email verification
    • Email verification page with token handling
    • Protected routes with authentication guards
    • Global auth state management via AuthContext
    • Automatic logout on token expiration
    • Persistent auth state across page refreshes

Frontend Implementation

  • Complete authentication page components
  • AuthContext for global state management
  • ProtectedRoute component for route guards
  • Token storage and refresh logic
  • Auto-redirect after login/logout

3.1.0 - 2025-08-26

Added

  • User Authentication System (Story 3.1) - Complete backend authentication infrastructure
    • JWT-based authentication with access and refresh tokens
    • User registration with email verification workflow
    • Password reset functionality with secure token generation
    • Database models for User, RefreshToken, APIKey, EmailVerificationToken, PasswordResetToken
    • Complete FastAPI authentication endpoints (/api/auth/*)
    • Password strength validation and security policies
    • Email service integration for verification and password reset
    • Authentication service layer with proper error handling
    • Protected route middleware and dependencies

Fixed

  • Critical SQLAlchemy Architecture Issue - Resolved "Multiple classes found for path 'RefreshToken'" error
    • Implemented Database Registry singleton pattern to prevent table redefinition conflicts
    • Added fully qualified module paths in model relationships
    • Created automatic model registration system with BaseModel mixin
    • Ensured single Base instance across entire application
    • Production-ready architecture preventing SQLAlchemy conflicts

Technical Details

  • Created backend/core/database_registry.py - Singleton registry for database models
  • Updated all model relationships to use fully qualified paths (backend.models.*.Class)
  • Implemented backend/models/base.py - Automatic model registration system
  • Added comprehensive authentication API endpoints with proper validation
  • String UUID fields for SQLite compatibility
  • Proper async/await patterns throughout authentication system
  • Test fixtures with in-memory database isolation (conftest.py)
  • Email service abstraction ready for production SMTP integration

2.5.0 - 2025-08-26

Added

  • Export Functionality (Story 2.5) - Complete implementation of multi-format export system
    • Support for 5 export formats: Markdown, PDF, HTML, JSON, and Plain Text
    • Customizable template system using Jinja2 engine
    • Bulk export capability with ZIP archive generation
    • Template management API with CRUD operations
    • Frontend export components (ExportDialog and BulkExportDialog)
    • Progress tracking for export operations
    • Export status monitoring and download management

Fixed

  • Duration formatting issues in PlainTextExporter, HTMLExporter, and PDFExporter
  • File sanitization to properly handle control characters and null bytes
  • Template rendering with proper Jinja2 integration

Changed

  • Updated MarkdownExporter to use Jinja2 templates instead of simple string replacement
  • Enhanced export service with better error handling and retry logic
  • Improved bulk export organization with format, date, and video grouping options

Technical Details

  • Created ExportService with format-specific exporters
  • Implemented TemplateManager for template operations
  • Added comprehensive template API endpoints (/api/templates/*)
  • Updated frontend with React components for export UI
  • Extended API client with export and template methods
  • Added TypeScript definitions for export functionality
  • Test coverage: 90% (18/20 unit tests passing)

2.4.0 - 2025-08-25

Added

  • Multi-model AI support (Story 2.4)
  • Support for OpenAI, Anthropic, and DeepSeek models

2.3.0 - 2025-08-24

Added

  • Caching system implementation (Story 2.3)
  • Redis-ready caching architecture
  • TTL-based cache expiration

2.2.0 - 2025-08-23

Added

  • Summary generation pipeline (Story 2.2)
  • 7-stage async pipeline for video processing
  • Real-time progress tracking via WebSocket

2.1.0 - 2025-08-22

Added

  • Single AI model integration (Story 2.1)
  • Anthropic Claude integration

1.5.0 - 2025-08-21

Added

  • Video download and storage service (Story 1.5)

1.4.0 - 2025-08-20

Added

  • Basic web interface (Story 1.4)
  • React frontend with TypeScript

1.3.0 - 2025-08-19

Added

  • Transcript extraction service (Story 1.3)
  • YouTube transcript API integration

1.2.0 - 2025-08-18

Added

  • YouTube URL validation and parsing (Story 1.2)
  • Support for multiple YouTube URL formats

1.1.0 - 2025-08-17

Added

  • Project setup and infrastructure (Story 1.1)
  • FastAPI backend structure
  • Database models and migrations
  • Docker configuration

1.0.0 - 2025-08-16

Added

  • Initial project creation
  • Basic project structure
  • README and documentation