yt-dl-cli 1.0.0

YouTube downloader CLI tool powered by yt-dlp

yt-dl-cli

🎥 yt-dl-cli is a command-line YouTube video downloader built with yt-dlp, enhanced with internationalization (i18n), logging, and a modular, easily extensible architecture.

Features

• Download videos from YouTube, Vimeo, Dailymotion, and other platforms supported by yt-dlp.
• Internationalized messages in English, German, Ukrainian, and Russian.
• Flexible command-line interface with customizable configuration.
• Robust error handling and comprehensive logging.
• Supports concurrent downloads to improve performance.
• Easy use for development.

Architecture and Design

The video downloader is built around the principle of single responsibility, with each class handling a specific aspect of the download process. This design promotes testability, maintainability, and allows for easy extension and modification of individual components.

Architecture Overview

The module implements a layered architecture with clear separation between:

1. Information Layer (VideoInfoExtractor):

   • Extracts video metadata without downloading content.
   • Validates video availability and accessibility.
   • Retrieves video information for processing decisions.

2. Execution Layer (DownloadExecutor):

   • Handles actual download operations.
   • Manages interactions and configurations with yt-dlp.
   • Provides robust error handling for download failures.

3. Orchestration Layer (DownloaderCore):

   • Coordinates the complete download workflow.
   • Integrates all components and manages dependencies.
   • Ensures proper resource lifecycle management and cleanup.
   • Manages file system operations and maintains download statistics.

Key Components

• VideoInfoExtractor: Metadata extraction and validation.
• DownloadExecutor: Core download execution engine.
• DownloaderCore: Main orchestrator and workflow manager.

Design Patterns

The architecture utilizes several well-known design patterns:

• Strategy Pattern: Format selection through IFormatStrategy interface.
• Dependency Injection: All dependencies injected through constructor parameters.
• Context Manager: Resource management implemented using __enter__ and __exit__ methods.
• Facade Pattern: DownloaderCore provides a simplified interface to complex operations.
• Template Method: Standardized download workflow with extensible, customizable steps.

Error Handling Philosophy

The module emphasizes defensive programming practices:

• External API calls wrapped in try-catch blocks.
• Errors logged comprehensively without crashing the application.
• Graceful handling and logging of individual download failures.
• Resource cleanup guaranteed through context managers.
• Detailed error messages for easy troubleshooting and debugging.

Performance Considerations

• Efficient metadata extraction without unnecessary downloads.
• File existence checking to avoid redundant operations.
• Resource pooling and cleanup to prevent memory leaks.
• Asynchronous design for concurrent operations.
• Minimal I/O operations through intelligent caching strategies.

Integration Points

The module integrates smoothly with several external systems:

• yt-dlp: Core download engine and interface to video platforms.
• File System: Abstracted through IFileChecker interface.
• Logging: Managed through ILogger interface for monitoring and debugging.
• Statistics: Download progress tracking via IStatsCollector.
• Configuration: User preferences and settings via Config class.
• Internationalization (i18n): Localized user feedback through Messages.

Usage Patterns

The module supports multiple usage scenarios:

1. Single Download Operations:

   • Extract video information.
   • Check file existence.
   • Execute download if necessary.
   • Update statistics and logs.

2. Batch Download Operations:

   • Concurrent processing of multiple URLs.
   • Aggregate and track statistics across operations.
   • Graceful handling of individual download failures.

Security Considerations

• Robust input validation for URLs and file paths.
• Safe filename sanitization to prevent directory traversal attacks.
• Secure handling of temporary files and downloaded content.
• Validation and sanitization of video metadata.
• Protection mechanisms against malicious URLs and potentially harmful content.

Thread Safety

• VideoInfoExtractor: Thread-safe; each instance creates isolated yt-dlp sessions.
• DownloadExecutor: Thread-safe; each operation is isolated.
• DownloaderCore: Not thread-safe; designed to operate within single-thread contexts.
• Resource Management: Requires careful handling and coordination in multi-threaded environments.

Installation

The package requires Python 3.8 or newer.

The project is actively developed and tested on Python 3.12, so using this version is recommended for maximum stability. Install from PyPI:

pip install yt_dl_cli

Dependencies

• yt-dlp – Core library for downloading videos.
• colorama – Terminal text styling and coloring.

Usage

Command-line interface

yt-dl-cli --urls https://www.youtube.com/watch?v=dQw4w9WgXcQ --quality 720 --dir videos

Available CLI Options

Option	Description	Example Value
-f, --file	File containing URLs (one per line)	links.txt
-d, --dir	Directory to save downloaded files	my_videos
-w, --workers	Number of concurrent download workers	4
-q, --quality	Video quality preference	best, 720, 480
-a, --audio-only	Download audio only	(flag)
--urls	URLs provided directly via CLI	<YouTube URL>

Example:

yt-dl-cli -f links.txt -d my_videos -w 4 -q best

Testing & Code Coverage

Automated tests and code coverage are set up to ensure yt-dl-cli is stable and reliable. All main modules are covered by unit tests.

Run Tests Locally

Run the test suite using pytest:

pytest tests/ -v

Or with coverage report:

pytest --cov=yt_dl_cli --cov-report=html

After running with coverage, an HTML report will be generated in the htmlcov/ folder.

View Coverage Locally

Open the generated report with:

python -m webbrowser htmlcov/index.html

Continuous Integration

• All tests are automatically run on each push and pull request to the main branch.
• Coverage results are uploaded to odecov for tracking and reporting.
• You can check the current coverage status using the badge at the top of this README.

Usage as a Python module/API usuge

You can integrate yt-dl-cli directly into your Python scripts or applications

Basic Usage

from yt_dl_cli.main import VideoDownloader

# Initialize downloader with default settings (links are in links.txt)
downloader = VideoDownloader()
downloader.download()

Custom Configuration

from yt_dl_cli.main import VideoDownloader
from yt_dl_cli.config.config import Config
import logging

# Define custom configuration
config = Config(
    save_dir="my_videos",
    quality="720",
    max_workers=4,
    audio_only=False,
    urls=["https://www.youtube.com/watch?v=dQw4w9WgXcQ"]
)

# Initialize downloader with custom settings
downloader = VideoDownloader(config=config)
downloader.download()

Internationalization

The tool automatically detects your system locale, but you can explicitly set the language from English, German, Ukrainian, Russian:

export LANGUAGE=de  # German language

or in Python:

from yt_dl_cli.main import VideoDownloader
from yt_dl_cli.i18n.init import setup_i18n

# Set up Ukrainian language
setup_i18n(language="uk")

# Initialize downloader and call download method
downloader = VideoDownloader()
downloader.download()

Project Structure

yt_dl_cli/
├── src/
│   └── yt_dl_cli/
│       ├── config/
│       ├── core/
│       ├── i18n/
│       ├── interfaces/
│       ├── scripts/
│       ├── utils/
│       └── locales/
│
├── LICENSE
├── pyproject.toml
└── README.md

Contributing

Feel free to open issues or pull requests to contribute to the development and improvement of yt-dl-cli.

License

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