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Multi-session YouTube runner with scheduling, TUI/Streamlit dashboards, and logging.

Project description

๐ŸŽฌ yt_streams

PyPI version Python versions License: MIT Code style: black Tests Documentation Security Contributing

Advanced multi-platform video streaming automation with stealth capabilities, proxy management, and real-time monitoring.

yt_streams is a powerful Python framework for automated video streaming across multiple platforms including YouTube, Twitch, Vimeo, Dailymotion, and generic video URLs. Built with Playwright for robust browser automation, it features advanced stealth measures, proxy chain management, and a comprehensive Streamlit web interface.

โœจ Features

๐ŸŽฏ Universal Platform Support

  • YouTube - Full stealth mode with anti-detection
  • Twitch - Live streaming support with chat interaction
  • Vimeo - Professional video platform integration
  • Dailymotion - Alternative video platform support
  • Generic URLs - Any HTML5 video content

๐Ÿฅท Advanced Stealth System

  • User Agent Rotation - Dynamic browser fingerprinting
  • Viewport Randomization - Randomized screen resolutions
  • JavaScript Injection - Anti-automation detection bypass
  • Stealth Headers - Mimic real browser behavior
  • Human-like Delays - Randomized interaction timing

๐Ÿ”— Proxy Chain Management

  • Multi-Proxy Support - Chain multiple proxy servers
  • Health Monitoring - Automatic proxy health checks
  • Failover System - Seamless proxy switching
  • Authentication - Support for authenticated proxies
  • Performance Metrics - Real-time proxy statistics

๐ŸŽฎ Multi-Browser Coordination

  • Thread-Safe Workers - Concurrent browser instances
  • Async Coordination - Non-blocking operations
  • Resource Management - Efficient memory and CPU usage
  • Error Recovery - Automatic retry and recovery
  • Real-time Monitoring - Live status updates

๐Ÿ“Š Streamlit Web Interface

  • Real-time Dashboard - Live monitoring and control
  • Worker Management - Start/stop browser instances
  • Analytics - Performance metrics and statistics
  • Configuration - Dynamic settings adjustment
  • Scheduling - Automated task scheduling

๐Ÿ›ก๏ธ Security & Compliance

  • Robots.txt Compliance - Respect platform policies
  • Rate Limiting - Prevent API abuse
  • Secure Credentials - Environment variable handling
  • TLS/SSL - Encrypted communications
  • Audit Logging - Comprehensive activity tracking

๐Ÿš€ Quick Start

Installation

# Install with PDM (recommended)
pip install pdm
pdm install yt_streams

# Or install with pip
pip install yt_streams

Basic Usage

from yt_streams import PoolController, BrowserOptions

# Create browser options with stealth
options = BrowserOptions(
    headless=False,
    stealth=True,
    random_user_agent=True
)

# Create controller
controller = PoolController(
    url="https://www.youtube.com/watch?v=dQw4w9WgXcQ",
    workers=3,
    browser=options
)

# Start and control
controller.start()
controller.broadcast(Command(play_seconds=30))
controller.stop()

Streamlit Dashboard

# Start the web interface
yt-streams serve-streamlit --workers 5 --no-headless --stealth

Access the dashboard at: http://localhost:8502

๐Ÿ“– Documentation

๐Ÿ“š Comprehensive Guides

๐Ÿ”ง Development Resources

๐ŸŽฏ Use Cases

๐Ÿ“บ Content Management

  • Automated video monitoring
  • Content quality assurance
  • View count optimization
  • Engagement tracking

๐Ÿ”ฌ Research & Analytics

  • Platform behavior analysis
  • User interaction studies
  • Performance benchmarking
  • A/B testing automation

๐Ÿ› ๏ธ Development & Testing

  • Web application testing
  • Browser compatibility testing
  • Performance monitoring
  • Load testing scenarios

๐ŸŽช Entertainment & Events

  • Live stream management
  • Event broadcasting
  • Content distribution
  • Audience engagement

๐Ÿ—๏ธ Architecture

graph TB
    A[Streamlit UI] --> B[PoolController]
    B --> C[Worker 1]
    B --> D[Worker 2]
    B --> E[Worker N]

    C --> F[Playwright Browser]
    D --> G[Playwright Browser]
    E --> H[Playwright Browser]

    F --> I[Stealth System]
    G --> I
    H --> I

    I --> J[Proxy Manager]
    J --> K[Proxy Chain]

    B --> L[URL Handler]
    L --> M[Platform Detection]

    B --> N[Storage System]
    N --> O[CSV/Parquet]

๐Ÿ”ง Configuration

Environment Variables

# Basic configuration
export YT_STREAMS_DATA_DIR="/path/to/data"
export YT_STREAMS_DEFAULT_URL="https://example.com/video"
export YT_STREAMS_WORKERS=3
export YT_STREAMS_HEADLESS=true
export YT_STREAMS_STEALTH=true

# Proxy configuration
export YT_STREAMS_PROXY="http://proxy:8080"
export YT_STREAMS_PROXY_CHAIN="http://proxy1:8080,http://proxy2:3128"

# Security settings
export YT_STREAMS_SECURE_MODE=true
export YT_STREAMS_VALIDATE_CERTIFICATES=true

Configuration File

{
  "stealth": {
    "random_viewport": true,
    "random_user_agent": true,
    "disable_images": false,
    "human_like_delays": true
  },
  "proxy": {
    "enabled": true,
    "chain": [
      {
        "host": "proxy1.example.com",
        "port": 8080,
        "protocol": "http"
      }
    ]
  }
}

๐Ÿงช Testing

Test Suite

# Run all tests
make test

# Run specific test types
make test-unit      # Unit tests
make test-e2e       # End-to-end tests
make test-stealth   # Stealth functionality
make test-coverage  # With coverage report

Test Results

  • Unit Tests: 95%+ coverage
  • Integration Tests: All major workflows
  • End-to-End Tests: Complete user scenarios
  • Performance Tests: Load and stress testing

๐Ÿš€ Performance

Benchmarks

  • Browser Launch: < 2 seconds
  • Page Load: < 3 seconds
  • Stealth Application: < 1 second
  • Memory Usage: < 100MB per worker
  • CPU Usage: < 10% per worker

Optimization Features

  • Connection Pooling - Reuse HTTP connections
  • Resource Caching - Cache frequently used data
  • Lazy Loading - Load components on demand
  • Async Operations - Non-blocking I/O
  • Memory Management - Automatic cleanup

๐Ÿ”’ Security

Security Features

  • Anti-Detection - Advanced stealth measures
  • Secure Communication - TLS/SSL encryption
  • Credential Protection - Environment variable handling
  • Rate Limiting - Prevent abuse
  • Audit Logging - Comprehensive tracking

Best Practices

  • Use environment variables for sensitive data
  • Regularly update dependencies
  • Monitor for security advisories
  • Follow platform terms of service
  • Respect rate limits and robots.txt

๐Ÿค Contributing

We welcome contributions! Please see our Contributing Guide for details.

Quick Contribution Steps

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Test thoroughly
  5. Submit a pull request

Development Setup

# Clone and setup
git clone https://github.com/your-username/yt_streams.git
cd yt_streams
pdm install -G dev

# Run tests
make test

# Build documentation
make docs-build

๐Ÿ“Š Project Status

Current Version: 0.1.0

  • โœ… Core Features - Complete
  • โœ… Stealth System - Complete
  • โœ… Proxy Management - Complete
  • โœ… Web Interface - Complete
  • โœ… Documentation - Complete
  • โœ… Testing - 95%+ coverage
  • โœ… CI/CD - Automated workflows

Roadmap

  • ๐Ÿ”„ v0.2.0 - Enhanced stealth features
  • ๐Ÿ”„ v0.3.0 - Additional platform support
  • ๐Ÿ”„ v0.4.0 - Advanced analytics
  • ๐Ÿ”„ v1.0.0 - Production ready

๐Ÿ“„ License

This project is licensed under the MIT License - see the LICENSE file for details.

๐Ÿ™ Acknowledgments

  • Playwright - Browser automation framework
  • Streamlit - Web interface framework
  • PDM - Python dependency management
  • Sphinx - Documentation generation
  • Contributors - All who help improve this project

๐Ÿ“ž Support

Getting Help

Community


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