14 KiB
Epic 3: Enhanced User Experience
Epic Overview
Goal: Transform the application from a simple tool to a comprehensive platform with user accounts, advanced features, and API access. This epic enables power users and developers to integrate the summarizer into their workflows while providing advanced features for enhanced productivity.
Priority: Medium - Enhancement features for advanced users
Epic Dependencies: Epic 2 (AI Summarization Engine)
Estimated Complexity: Very High (Complex features and integrations)
Epic Success Criteria
Upon completion of this epic, the YouTube Summarizer will:
-
User Account Management
- Secure user registration and authentication
- Persistent summary history across devices
- User preferences and settings management
-
Advanced Processing Features
- Batch processing for multiple videos
- Real-time progress updates via WebSocket
- Background job management
-
Professional Integration
- RESTful API for third-party integration
- SDK support for Python and JavaScript
- Webhook notifications for async operations
-
Enhanced User Experience
- Advanced search and filtering
- Summary sharing and collaboration
- Personalized recommendations
Stories in Epic 3
Story 3.1: User Authentication System
As a user
I want to create an account and login
So that I can access my summary history across devices
Acceptance Criteria
- Email/password registration with verification email
- Secure password requirements enforced (minimum 8 characters, complexity rules)
- JWT-based authentication with refresh tokens
- Password reset functionality via email
- Optional OAuth integration with Google for single sign-on
- Session management with automatic logout after inactivity
Status: Ready for story creation
Dependencies: Story 2.5 (Export Functionality)
Story 3.2: Summary History Management
As a authenticated user
I want to view and manage my summary history
So that I can reference previous summaries
Acceptance Criteria
- Summary history displays in reverse chronological order
- Search functionality filters by video title, content, or date range
- Summaries can be starred for quick access
- Bulk delete operations with confirmation dialog
- Summary sharing via unique URL (public or private)
- Export entire history as JSON or CSV
Status: Ready for story creation
Dependencies: Story 3.1 (User Authentication System)
Story 3.3: Batch Processing
As a power user
I want to summarize multiple videos at once
So that I can process entire playlists or video series efficiently
Acceptance Criteria
- Accepts multiple URLs via textarea (one per line) or file upload
- Queue system processes videos sequentially with progress indicator
- Partial results available as each video completes
- Failed videos don't block subsequent processing
- Batch results downloadable as ZIP with all formats
- Email notification when batch processing completes
Status: Ready for story creation
Dependencies: Story 3.2 (Summary History Management)
Story 3.4: Real-time Updates
As a user
I want live progress updates during processing
So that I know the system is working and how long to wait
Acceptance Criteria
- WebSocket connection provides real-time status updates
- Progress stages shown: Validating → Extracting → Summarizing → Complete
- Percentage complete based on transcript chunks processed
- Estimated time remaining calculated from similar videos
- Cancel button allows aborting long-running operations
- Connection loss handled gracefully with automatic reconnection
Status: Ready for story creation
Dependencies: Story 3.3 (Batch Processing)
Story 3.5: API Endpoints
As a developer
I want RESTful API access to summarization features
So that I can integrate the service into my applications
Acceptance Criteria
- API key generation and management in user settings
- RESTful endpoints follow OpenAPI 3.0 specification
- Rate limiting enforced per API key (100 requests/hour default)
- Comprehensive API documentation with examples
- SDKs provided for Python and JavaScript
- Webhook support for async processing notifications
Status: Ready for story creation
Dependencies: Story 3.4 (Real-time Updates)
Technical Architecture Context
Advanced Architecture Components
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ Web App │ │ API Gateway │ │ Background │
│ │ │ │ │ Workers │
│ • Auth UI │◄──►│ • Rate Limiting │◄──►│ • Batch Jobs │
│ • History Mgmt │ │ • API Keys │ │ • Webhooks │
│ • Real-time UI │ │ • WebSocket │ │ • Email Notify │
│ │ │ Proxy │ │ │
└─────────────────┘ └─────────────────┘ └─────────────────┘
│ │ │
│ ▼ ▼
│ ┌─────────────────┐ ┌─────────────────┐
│ │ User DB │ │ Job Queue │
└──────────────►│ │ │ │
│ • Users │ │ • Batch Jobs │
│ • API Keys │ │ • Status │
│ • Sessions │ │ • Results │
└─────────────────┘ └─────────────────┘
Authentication Architecture
JWT Token Strategy
class AuthService:
def generate_tokens(self, user_id: str) -> Tuple[str, str]:
"""Generate access and refresh token pair"""
def verify_token(self, token: str) -> Dict[str, Any]:
"""Verify and decode JWT token"""
def refresh_access_token(self, refresh_token: str) -> str:
"""Generate new access token from refresh token"""
User Model
class User(Base):
__tablename__ = "users"
id = Column(UUID(as_uuid=True), primary_key=True)
email = Column(String(255), unique=True, nullable=False)
password_hash = Column(String(255), nullable=False)
is_verified = Column(Boolean, default=False)
created_at = Column(DateTime, default=datetime.utcnow)
last_login = Column(DateTime)
# Preferences
default_model = Column(String(50), default="openai")
summary_length = Column(String(20), default="standard")
# API access
api_keys = relationship("APIKey", back_populates="user")
summaries = relationship("Summary", back_populates="user")
WebSocket Architecture
Real-time Progress Updates
interface ProgressUpdate {
job_id: string;
status: "validating" | "extracting" | "summarizing" | "completed" | "failed";
progress_percentage: number;
current_step: string;
estimated_time_remaining?: number;
error_message?: string;
}
class WebSocketClient {
connect(job_id: string): Promise<void>;
onProgress(callback: (update: ProgressUpdate) => void): void;
disconnect(): void;
}
Batch Processing Architecture
Job Queue System
class BatchJob(Base):
__tablename__ = "batch_jobs"
id = Column(UUID(as_uuid=True), primary_key=True)
user_id = Column(UUID(as_uuid=True), nullable=False)
name = Column(String(255))
# Job configuration
urls = Column(JSON) # List of YouTube URLs
model = Column(String(50))
options = Column(JSON)
# Progress tracking
total_videos = Column(Integer)
completed_videos = Column(Integer, default=0)
failed_videos = Column(Integer, default=0)
status = Column(Enum(BatchJobStatus))
# Results
results = Column(JSON) # Array of summary IDs
download_url = Column(String(500)) # ZIP download link
created_at = Column(DateTime, default=datetime.utcnow)
completed_at = Column(DateTime)
Non-Functional Requirements for Epic 3
Security
- Authentication: Secure JWT implementation with refresh tokens
- API Security: Rate limiting and API key management
- Data Privacy: User data encryption and secure storage
- Session Management: Automatic logout and session timeouts
Performance
- Concurrent Users: Support 100+ concurrent authenticated users
- Batch Processing: Handle 50+ videos in single batch job
- Real-time Updates: Sub-second WebSocket message delivery
- API Response: < 500ms for authenticated API calls
Scalability
- User Growth: Architecture supports 10,000+ registered users
- Batch Scaling: Queue system handles multiple concurrent batch jobs
- API Usage: Rate limiting prevents abuse while enabling legitimate usage
Reliability
- WebSocket Resilience: Automatic reconnection and message queuing
- Batch Recovery: Failed batch jobs can be resumed
- Data Integrity: User summaries never lost due to system failures
API Specification for Epic 3
Authentication Endpoints
POST /api/auth/register
interface RegisterRequest {
email: string;
password: string;
confirm_password: string;
}
interface AuthResponse {
user: UserProfile;
access_token: string;
refresh_token: string;
expires_in: number;
}
POST /api/auth/login
interface LoginRequest {
email: string;
password: string;
}
User Management Endpoints
GET /api/user/profile
interface UserProfile {
id: string;
email: string;
created_at: string;
preferences: UserPreferences;
api_usage: APIUsageStats;
}
GET /api/user/summaries
interface UserSummariesResponse {
summaries: Summary[];
total_count: number;
pagination: PaginationInfo;
}
Batch Processing Endpoints
POST /api/batch/create
interface BatchRequest {
name?: string;
urls: string[];
model?: string;
options?: SummaryOptions;
notify_email?: boolean;
}
interface BatchResponse {
job_id: string;
status: "queued";
total_videos: number;
estimated_completion: string;
}
GET /api/batch/{job_id}
interface BatchStatus {
job_id: string;
status: BatchJobStatus;
progress: {
total: number;
completed: number;
failed: number;
percentage: number;
};
results: Summary[];
download_url?: string;
}
API Key Management
POST /api/user/api-keys
interface CreateAPIKeyRequest {
name: string;
permissions: APIPermission[];
rate_limit?: number;
}
interface APIKey {
id: string;
key: string; // Only returned once
name: string;
permissions: APIPermission[];
created_at: string;
last_used?: string;
}
Definition of Done for Epic 3
- All 5 stories completed and validated
- User registration and authentication working
- Summary history persistent across sessions
- Batch processing handles multiple videos
- Real-time progress updates via WebSocket
- Public API available with documentation
- API keys generation and management
- SDK packages published (Python + JavaScript)
- Webhook system operational
- Performance targets met for all features
Security Considerations
Authentication Security
- Password hashing with bcrypt (minimum cost factor 12)
- JWT tokens with short expiration (15 minutes access, 7 days refresh)
- Secure session management with httpOnly cookies
- Rate limiting on authentication endpoints
API Security
- API key authentication with scoped permissions
- Request rate limiting per API key
- Input validation and sanitization for all endpoints
- CORS configuration for allowed origins
Data Privacy
- User data encryption at rest
- Secure password reset flows
- GDPR compliance for data export/deletion
- Audit logging for sensitive operations
Risks and Mitigation
Technical Risks
- WebSocket Scale: Load testing and connection pooling
- Batch Job Memory: Streaming processing and cleanup
- Database Growth: Partitioning and archival strategies
Security Risks
- Authentication Attacks: Rate limiting and monitoring
- API Abuse: Usage quotas and anomaly detection
- Data Leaks: Access controls and audit logs
User Experience Risks
- Complexity: Progressive disclosure and onboarding
- Performance: Background processing and caching
- Reliability: Comprehensive error handling and recovery
Success Metrics
User Engagement
- Registration Rate: > 10% of anonymous users register
- Return Usage: > 60% of registered users return within 7 days
- Feature Adoption: > 40% of users try batch processing
Technical Performance
- Authentication Speed: < 200ms login time
- Batch Throughput: > 10 videos processed per minute
- WebSocket Reliability: < 1% connection failures
API Usage
- Developer Adoption: > 50 API keys generated within 30 days
- API Success Rate: > 99% successful API calls
- SDK Downloads: > 100 combined Python + JavaScript downloads
Epic Status: Ready for Planning
Dependencies: Epic 2 must be completed first
Next Action: Wait for Epic 2 completion, then create Story 3.1
Epic Owner: Bob (Scrum Master)
Last Updated: 2025-01-25