Release v1.2.0

What's Changed

Added

• Enhanced Video Processing
  • Added yt-dlp-ejs (v0.3.1) for improved JavaScript extraction
  • Added Deno runtime support for better compatibility with modern YouTube features
  • Improved handling of dynamic content loading

Changed

• Dependencies Updates
  • Updated yt-dlp from 2025.6.25 to 2025.11.12 (multiple security fixes and improvements)
  • Updated PyYAML from 6.0.2 to 6.0.3 (security update)
  • Updated requests from 2.32.4 to 2.32.5 (security update)
  • Updated schedule to 1.2.2

Fixed

• Reliability Improvements
  • Increased retry attempts for better error recovery
  • Improved code formatting and quality with pre-commit hooks
  • Enhanced CI/CD pipeline with Python 3.12 support

Infrastructure

• Development Tools
  • Added pre-commit hooks for automated code quality checks
  • Configured Black, isort, and additional formatters
  • Daily dependency checks via Dependabot
  • Upgraded pip in CI/CD pipeline

Docker Image

docker pull ghcr.io/dmitriylyalyuev/ytsync:v1.2.0
docker pull ghcr.io/dmitriylyalyuev/ytsync:latest

Full Changelog: v1.1.0...v1.2.0

[v1.1.0] - 2025-07-02

Changed

• Dependencies Updates
  • Updated yt-dlp from 2025.06.09 to 2025.6.25 (security fixes and improvements)
  • Updated PyYAML from 6.0.1 to 6.0.2 (security update)
  • Updated requests from 2.31.0 to 2.32.4 (security update)

Added

• Authentication Improvements
  • Enhanced cookies support for better authentication handling
  • Simplified cookie configuration management
  • Improved metadata fetching with proper authentication

Fixed

• Code Quality & CI/CD
  • Fixed formatting issues throughout codebase
  • Improved logging placement and timing
  • Fixed Pylint configuration and warnings
  • Enhanced Trivy security scanning configuration
  • Fixed workflow issues in GitHub Actions

Infrastructure

• Automated Dependency Management
  • Added Dependabot configuration for automatic security updates
  • Automated dependency vulnerability monitoring
  • Improved CI/CD pipeline reliability

[v1.0.0] - 2024-12-26

Added

• Core Features

  • Automatic YouTube channel and playlist synchronization
  • SQLite database for tracking downloaded videos
  • YAML configuration with per-source settings
  • Intelligent filtering by date, file size, and duration
  • Built-in scheduler for automated synchronization
  • Comprehensive logging system

• Docker Support

  • Multi-platform Docker images (amd64, arm64)
  • Docker Compose configuration
  • Configurable UID/GID for proper file permissions
  • Health checks and resource limits

• Plex Integration

  • Plex TV Shows compatible naming format
  • Season-based organization by year
  • Automatic directory structure creation
  • MP4 format prioritization with FFmpeg

• Quality Control

  • Flexible quality settings with yt-dlp format strings
  • File size and duration limitations
  • Configurable video processing options
  • Error handling and retry logic

• CI/CD Pipeline

  • GitHub Actions workflow for automated builds
  • Multi-platform container builds
  • Security scanning with Bandit and Trivy
  • Code quality checks with Black, isort, and Pylint
  • Automated publishing to GitHub Container Registry

• Documentation

  • Comprehensive README with usage examples
  • MIT license
  • Issue and PR templates
  • Contributing guidelines
  • FAQ and troubleshooting guide
  • Use case scenarios

Technical Details

• Languages: Python 3.11+
• Dependencies: yt-dlp, PyYAML, schedule, SQLite3
• Container Registry: GitHub Container Registry (ghcr.io)
• Supported Platforms: Linux (amd64, arm64), macOS, Windows
• File Formats: MP4 (preferred), WebM, MKV
• Quality Options: 1080p, 720p, 480p with customizable settings

Configuration Features

• Individual output directories per source
• Customizable sync intervals and schedules
• Period-based filtering (last N days)
• Maximum videos per source limiting
• Automatic configuration reloading
• Environment variable support

Security & Reliability

• Non-privileged container execution
• Input validation and sanitization
• Database transaction safety
• Graceful error handling
• Resource usage monitoring
• Automated vulnerability scanning