Introduced streaming mode for memory-efficient handling of large archives and added atomic file operations for reliable archive creation. Updated CLI commands, core functionality, and tests to support these features. Improved error handling and documentation for append mode and compression level validation.
tzst
A Python library for creating and manipulating .tzst/.tar.zst archives using Zstandard compression.
Features
- High Compression: Uses Zstandard compression for excellent compression ratios and speed
- Tar Compatibility: Creates standard tar archives compressed with Zstandard
- Command Line Interface: Easy-to-use CLI with intuitive commands
- Python API: Clean, Pythonic API for programmatic use
- Cross-Platform: Works on Windows, macOS, and Linux
- Multiple Extensions: Supports both
.tzstand.tar.zstextensions - Flexible Extraction: Extract with full paths or flatten directory structure
Installation
From PyPI
pip install tzst
From Source
git clone https://github.com/xixu-me/tzst.git
cd tzst
pip install .
Development Installation
This project uses Hatch as the build system, configured in pyproject.toml. For development:
git clone https://github.com/xixu-me/tzst.git
cd tzst
pip install -e .[dev]
Alternatively, if you have Hatch installed:
git clone https://github.com/xixu-me/tzst.git
cd tzst
hatch env create
hatch shell
Quick Start
Command Line Usage
Recommended: The
uvx tzstcommand is highly recommended for running tzst without installation and with significantly better performance. uv provides faster package resolution and execution compared to standard pip/python approaches. See the uv's documentation for more details.
# Create an archive
tzst a archive.tzst file1.txt file2.txt directory/
# Extract an archive
tzst x archive.tzst
# List archive contents
tzst l archive.tzst
# Test archive integrity
tzst t archive.tzst
Python API Usage
from tzst import create_archive, extract_archive, list_archive
# Create an archive
create_archive("archive.tzst", ["file1.txt", "file2.txt", "directory/"])
# Extract an archive
extract_archive("archive.tzst", "output_directory/")
# List archive contents
contents = list_archive("archive.tzst", verbose=True)
for item in contents:
print(f"{item['name']}: {item['size']} bytes")
Command Line Interface
The tzst command provides a comprehensive CLI for archive operations:
Archive Operations
Create Archive
# Basic usage
tzst a archive.tzst file1.txt file2.txt
# With compression level (1-22, default: 3)
tzst a archive.tzst files/ -l 15
# Alternative commands
tzst add archive.tzst files/
tzst create archive.tzst files/
Extract Archive
# Extract with full directory structure
tzst x archive.tzst
# Extract to specific directory
tzst x archive.tzst -o output/
# Extract specific files
tzst x archive.tzst file1.txt dir/file2.txt
# Extract without directory structure (flat)
tzst e archive.tzst -o output/
List Contents
# Simple listing
tzst l archive.tzst
# Verbose listing with details
tzst l archive.tzst -v
Test Integrity
# Test archive integrity
tzst t archive.tzst
Command Reference
| Command | Aliases | Description |
|---|---|---|
a |
add, create |
Create or add to archive |
x |
extract |
Extract with full paths |
e |
extract-flat |
Extract without directory structure |
l |
list |
List archive contents |
t |
test |
Test archive integrity |
Python API
TzstArchive Class
The main class for working with tzst archives:
from tzst import TzstArchive
# Create a new archive
with TzstArchive("archive.tzst", "w", compression_level=5) as archive:
archive.add("file.txt")
archive.add("directory/", recursive=True)
# Read an existing archive
with TzstArchive("archive.tzst", "r") as archive:
# List contents
contents = archive.list(verbose=True)
# Extract specific file
archive.extract("file.txt", "output/")
# Extract all files
archive.extract(path="output/")
# Test integrity
is_valid = archive.test()
# For large archives, use streaming mode to reduce memory usage
with TzstArchive("large_archive.tzst", "r", streaming=True) as archive:
# Streaming mode is more memory efficient but may limit some operations
contents = archive.list(verbose=True)
archive.extract(path="output/")
Convenience Functions
create_archive()
from tzst import create_archive
create_archive(
archive_path="backup.tzst",
files=["documents/", "photos/", "config.txt"],
compression_level=10
)
extract_archive()
from tzst import extract_archive
# Extract with directory structure
extract_archive("backup.tzst", "restore/")
# Extract specific files
extract_archive("backup.tzst", "restore/", members=["config.txt"])
# Flatten directory structure
extract_archive("backup.tzst", "restore/", flatten=True)
# For large archives, use streaming mode
extract_archive("large_backup.tzst", "restore/", streaming=True)
list_archive()
from tzst import list_archive
# Simple listing
files = list_archive("backup.tzst")
for file_info in files:
print(file_info["name"])
# Detailed listing
files = list_archive("backup.tzst", verbose=True)
for file_info in files:
print(f"{file_info['name']}: {file_info['size']} bytes, "
f"modified: {file_info['mtime_str']}")
test_archive()
from tzst import test_archive
if test_archive("backup.tzst"):
print("Archive is valid")
else:
print("Archive is corrupted")
File Extensions
The library automatically handles file extensions:
.tzst- Primary extension for tar+zstandard archives.tar.zst- Alternative standard extension- Auto-detection when opening existing archives
- Automatic extension addition when creating archives
# These all create valid archives
create_archive("backup.tzst", files) # Creates backup.tzst
create_archive("backup.tar.zst", files) # Creates backup.tar.zst
create_archive("backup", files) # Creates backup.tzst
Compression Levels
Zstandard compression levels range from 1 (fastest) to 22 (best compression):
- Level 1-3: Fast compression, larger files
- Level 3 (default): Good balance of speed and compression
- Level 10-15: Better compression, slower
- Level 20-22: Maximum compression, much slower
# Fast compression
create_archive("fast.tzst", files, compression_level=1)
# Balanced (default)
create_archive("balanced.tzst", files, compression_level=3)
# Maximum compression
create_archive("compressed.tzst", files, compression_level=22)
Error Handling
The library provides specific exception types for different error conditions:
from tzst import TzstArchive
from tzst.exceptions import (
TzstError,
TzstArchiveError,
TzstCompressionError,
TzstDecompressionError,
TzstFileNotFoundError
)
try:
with TzstArchive("archive.tzst", "r") as archive:
archive.extract()
except TzstDecompressionError:
print("Failed to decompress archive")
except TzstArchiveError:
print("Archive operation failed")
except TzstFileNotFoundError:
print("Archive file not found")
Performance Tips
- Choose appropriate compression levels: Level 3 is usually optimal for most use cases
- Use streaming for large archives: Enable streaming mode (
streaming=True) for archives larger than 100MB to reduce memory usage - Atomic file operations: The library uses atomic file operations by default to prevent incomplete archives on interruption
- Batch operations: Add multiple files in a single archive session when possible
- Consider file types: Already compressed files (images, videos) won't compress much further
Comparison with Standard Tools
vs tar + gzip
- Better compression: Zstandard typically achieves better compression ratios than gzip
- Faster decompression: Zstandard decompresses faster than gzip
- Modern algorithm: Zstandard is a more modern compression algorithm
vs tar + xz
- Faster compression: Zstandard is significantly faster than xz at similar compression levels
- Comparable compression: Similar compression ratios to xz
- Better balance: Better speed/compression trade-off
vs zip
- Better compression: Generally better compression than zip
- Preserves permissions: Maintains Unix file permissions and metadata
- Streaming support: Better support for large files and streaming
Requirements
- Python 3.8 or higher
- zstandard >= 0.19.0
Development
Setting up Development Environment
This project uses Hatch as the build system and dependency manager, with configuration in pyproject.toml. Choose one of the following setup methods:
Using pip (Traditional approach)
git clone https://github.com/xixu-me/tzst.git
cd tzst
pip install -e .[dev]
Using Hatch (Recommended for development)
git clone https://github.com/xixu-me/tzst.git
cd tzst
pip install hatch # Install Hatch if not already installed
hatch env create # Create development environment
hatch shell # Activate development environment
The pyproject.toml file configures the entire build process, including:
- Build system (hatchling)
- Dependencies and optional development dependencies
- Project metadata and entry points
- Tool configurations (pytest, ruff, black)
Running Tests
Using pytest directly
# Run all tests
pytest
# Run with coverage
pytest --cov=tzst --cov-report=html
# Run specific test file
pytest tests/test_core.py
Using Hatch
# Run tests in development environment
hatch run pytest
# Run with coverage
hatch run pytest --cov=tzst --cov-report=html
Code Quality
Using tools directly
# Lint code
ruff check src tests
# Format code
black src tests
# Type checking (if mypy is installed)
mypy src
Using Hatch
# Lint code
hatch run ruff check src tests
# Format code
hatch run black src tests
Building Documentation
# Install documentation dependencies
pip install -e .[dev]
# Build documentation (if sphinx is set up)
cd docs
make html
Acknowledgments
- Meta Zstandard for the excellent compression algorithm
- python-zstandard for Python bindings
- The Python community for inspiration and feedback
Support
- Documentation: Full documentation
- PyPI Package: tzst on PyPI
License
Copyright © Xi Xu. All rights reserved.
Licensed under the BSD 3-Clause license.