Python bindings for archive_r: libarchive-based streaming traversal for recursive nested archives (no temp files, no large in-memory buffers)
Project description
archive_r Python Bindings
⚠️ Development Status: This library is currently under development. The API may change without notice.
Overview
Python bindings for archive_r, a libarchive-based library for processing many archive formats. It streams entry data directly from the source to recursively read nested archives without extracting to temporary files or loading large in-memory buffers. The bindings expose a Pythonic iterator API with context manager support.
Installation
From PyPI
pip install archive_r_python
From Source
cd archive_r/bindings/python
pip install .
Development Installation (Editable Mode)
cd archive_r/bindings/python
pip install -e .
Building with Parent Build Script
cd archive_r
./build.sh --with-python
This builds the core library and Python bindings, placing artifacts in build/bindings/python/.
Basic Usage
Simple Traversal
import archive_r
# Context manager ensures proper resource cleanup
with archive_r.Traverser("test.zip") as traverser:
for entry in traverser:
print(f"Path: {entry.path} (depth={entry.depth})")
if entry.is_file:
print(f" Size: {entry.size} bytes")
Reading Entry Content
import archive_r
with archive_r.Traverser("archive.tar.gz") as traverser:
for entry in traverser:
if entry.is_file and entry.path.endswith('.txt'):
# Read full content
content = entry.read()
print(f"Content of {entry.path}:")
print(content.decode('utf-8', errors='replace'))
Chunked Reading (Large Files)
import archive_r
with archive_r.Traverser("large_archive.zip") as traverser:
for entry in traverser:
if entry.is_file:
# Read in 8KB chunks
chunk_size = 8192
total_bytes = 0
while True:
chunk = entry.read(chunk_size)
if not chunk:
break
total_bytes += len(chunk)
# Process chunk...
print(f"{entry.path}: {total_bytes} bytes read")
Searching in Entry Content
import archive_r
def search_in_entry(entry, keyword):
"""Stream search within entry content (buffer boundary aware)"""
overlap = b''
buffer_size = 8192
keyword_bytes = keyword.encode('utf-8')
while True:
chunk = entry.read(buffer_size)
if not chunk:
break
search_text = overlap + chunk
if keyword_bytes in search_text:
return True
# Preserve tail for next iteration
if len(chunk) >= len(keyword_bytes) - 1:
overlap = chunk[-(len(keyword_bytes) - 1):]
else:
overlap = chunk
return False
with archive_r.Traverser("documents.zip") as traverser:
for entry in traverser:
if entry.is_file and entry.path.endswith('.txt'):
if search_in_entry(entry, "important"):
print(f"Found keyword in: {entry.path}")
Controlling Archive Descent
import archive_r
with archive_r.Traverser("test.zip") as traverser:
for entry in traverser:
# Don't expand Office files (they are ZIP internally)
if entry.path.endswith(('.docx', '.xlsx', '.pptx')):
entry.set_descent(False)
print(f"Path: {entry.path}, Will descend: {entry.descent_enabled}")
You can also disable automatic descent globally:
# Disable automatic descent for all entries
with archive_r.Traverser("test.zip", descend_archives=False) as traverser:
for entry in traverser:
# Manually enable descent for specific entries
if entry.path.endswith('.tar.gz'):
entry.set_descent(True)
⚠️ Note: Reading entry content automatically disables descent. Call
entry.set_descent(True)if you need to descend after reading.
Path Representation
The Python bindings provide three ways to access entry paths:
with archive_r.Traverser("outer.zip") as traverser:
for entry in traverser:
# Full path including top-level archive
# Example: "outer.zip/inner.tar/file.txt"
print(f"path: {entry.path}")
# Last element of path_hierarchy
# Example: "inner.tar/file.txt"
print(f"name: {entry.name}")
# Path hierarchy as list
# Example: ["outer.zip", "inner.tar/file.txt"]
print(f"path_hierarchy: {entry.path_hierarchy}")
path_hierarchy is particularly useful when you need custom path separators or want to represent the nesting structure explicitly.
Metadata Access
Basic Metadata
Entry objects provide common metadata through properties:
with archive_r.Traverser("archive.tar") as traverser:
for entry in traverser:
print(f"Path: {entry.path}")
print(f" Type: {'file' if entry.is_file else 'directory'}")
print(f" Size: {entry.size} bytes")
print(f" Depth: {entry.depth}")
Extended Metadata
For additional metadata (permissions, ownership, timestamps), specify metadata_keys:
with archive_r.Traverser("archive.tar", metadata_keys=["uid", "gid", "mtime", "mode"]) as traverser:
for entry in traverser:
# Retrieve all specified metadata as dictionary
metadata = entry.metadata()
print(f"{entry.path}:")
print(f" UID: {metadata.get('uid')}")
print(f" GID: {metadata.get('gid')}")
print(f" Mode: {oct(metadata.get('mode', 0))}")
# Or retrieve specific metadata
mtime = entry.find_metadata("mtime")
if mtime is not None:
print(f" Modified: {mtime}")
Available metadata keys depend on the archive format. Common keys include:
uid,gid: User/group IDmtime,atime,ctime: Timestamps (Unix time)mode: File permissionsuname,gname: User/group nameshardlink,symlink: Link targets
Processing Split Archives
For split archive files (e.g., .zip.001, .zip.002), use set_multi_volume_group():
import archive_r
with archive_r.Traverser("container.tar") as traverser:
for entry in traverser:
# Detect split archive parts
if '.part' in entry.path:
# Extract base name (e.g., "archive.zip.part001" → "archive.zip")
pos = entry.path.rfind('.part')
base_name = entry.path[:pos]
entry.set_multi_volume_group(base_name)
# After parent traversal, grouped parts are merged and expanded
Format Specification
By default, all formats supported by libarchive are enabled. To restrict to specific formats:
# Enable only ZIP and TAR
with archive_r.Traverser("test.zip", formats=["zip", "tar"]) as traverser:
for entry in traverser:
print(entry.path)
Common format names: "7zip", "ar", "cab", "cpio", "iso9660", "lha", "rar", "tar", "warc", "xar", "zip"
💡 Tip: Exclude pseudo-formats like
"mtree"and"raw"if you encounter false positives on non-archive files.
Custom Stream Factories
You can provide custom stream objects (file-like objects with read() method) to override the default file opening behavior:
import archive_r
import io
# Register a custom stream factory
def custom_stream_factory(path):
"""Return a file-like object for the given path"""
if path == "special_file.bin":
# Return custom data source
return io.BytesIO(b"custom content")
# Return None to use default file opening
return None
archive_r.register_stream_factory(custom_stream_factory)
with archive_r.Traverser("test.zip") as traverser:
for entry in traverser:
# When traverser needs to open "special_file.bin",
# your factory will provide the BytesIO stream
pass
Stream objects must provide:
read(size): Read up tosizebytes- Optional:
seek(offset, whence),tell()for seekable streams - Optional:
rewind()(defaults toseek(0, 0)if not provided)
Error Handling
Fault Callbacks
Data errors (corrupted archives, I/O failures) are reported via callbacks without stopping traversal:
import archive_r
def fault_handler(fault_info):
"""Called when data errors occur during traversal"""
print(f"Warning at {fault_info['hierarchy']}: {fault_info['message']}")
if fault_info.get('errno'):
print(f" Error code: {fault_info['errno']}")
archive_r.on_fault(fault_handler)
with archive_r.Traverser("potentially_corrupted.zip") as traverser:
for entry in traverser:
# Valid entries are processed normally
# Corrupted entries trigger fault_handler
print(entry.path)
Read Errors
Errors during read() raise exceptions:
try:
with archive_r.Traverser("test.zip") as traverser:
for entry in traverser:
if entry.is_file:
content = entry.read()
except RuntimeError as e:
print(f"Read error: {e}")
Thread Safety
The Python bindings follow the same thread safety constraints as the C++ core:
- ✓ Thread-safe: Each thread can create and use its own
Traverserinstance independently - ✗ Not thread-safe: A single
TraverserorEntryinstance must not be shared across threads
Example
import threading
import archive_r
# ✓ SAFE: Each thread has its own Traverser
def worker():
with archive_r.Traverser("archive.tar.gz") as traverser:
for entry in traverser:
# Process entry...
pass
t1 = threading.Thread(target=worker)
t2 = threading.Thread(target=worker)
t1.start()
t2.start()
t1.join()
t2.join()
# ✗ UNSAFE: Sharing a single Traverser instance across threads
shared_traverser = archive_r.Traverser("archive.tar.gz")
def unsafe_worker():
for entry in shared_traverser: # Race condition!
pass
# Don't do this!
# t1 = threading.Thread(target=unsafe_worker)
# t2 = threading.Thread(target=unsafe_worker)
Additionally:
- Global registration functions (
register_stream_factory,on_fault) should be called during single-threaded initialization - Entry objects should not be shared between threads (they are tied to the Traverser's internal state)
Advanced Examples
Full Example: Recursive Archive Analyzer
import archive_r
import sys
from collections import defaultdict
def analyze_archive(archive_path):
"""Analyze archive contents and print statistics"""
stats = defaultdict(int)
file_types = defaultdict(int)
with archive_r.Traverser(archive_path, metadata_keys=["mtime"]) as traverser:
for entry in traverser:
stats['total_entries'] += 1
if entry.is_file:
stats['files'] += 1
stats['total_size'] += entry.size
# Count by extension
if '.' in entry.name:
ext = entry.name.rsplit('.', 1)[1]
file_types[ext] += 1
# Find largest file
if entry.size > stats.get('max_file_size', 0):
stats['max_file_size'] = entry.size
stats['max_file_path'] = entry.path
else:
stats['directories'] += 1
# Track maximum depth
if entry.depth > stats.get('max_depth', 0):
stats['max_depth'] = entry.depth
# Print results
print(f"\nArchive Analysis: {archive_path}")
print(f" Total entries: {stats['total_entries']}")
print(f" Files: {stats['files']}")
print(f" Directories: {stats['directories']}")
print(f" Total size: {stats['total_size']:,} bytes")
print(f" Maximum depth: {stats['max_depth']}")
if 'max_file_path' in stats:
print(f" Largest file: {stats['max_file_path']} ({stats['max_file_size']:,} bytes)")
if file_types:
print("\n File types:")
for ext, count in sorted(file_types.items(), key=lambda x: x[1], reverse=True)[:10]:
print(f" .{ext}: {count}")
if __name__ == '__main__':
if len(sys.argv) < 2:
print("Usage: python analyze.py <archive_path>")
sys.exit(1)
analyze_archive(sys.argv[1])
Testing
Run the Python binding tests:
cd archive_r/bindings/python
python -m unittest discover test
Or use the project-wide test runner:
cd archive_r
./bindings/python/run_binding_tests.sh
API Reference
Module: archive_r
Class: Traverser
Constructor:
Traverser(
roots, # str or list of str/list (path hierarchy)
formats=None, # list of format names (default: all)
descend_archives=True, # automatically expand archives
metadata_keys=None, # list of metadata keys to capture
passphrases=None # list of passphrases for encrypted archives
)
Methods:
__iter__(): Returns self (iterator protocol)__next__(): Returns nextEntryor raisesStopIteration__enter__(): Context manager entry (returns self)__exit__(exc_type, exc_val, exc_tb): Context manager exit
Class: Entry
Properties:
path: Full path string (read-only)name: Last element of path hierarchy (read-only)path_hierarchy: List representation of path (read-only)depth: Nesting depth (read-only)is_file: True if entry is a file (read-only)size: File size in bytes, 0 for directories (read-only)descent_enabled: Whether this entry will be expanded as an archive (read-only)
Methods:
read(size=None): Read entry content (bytes). Ifsizeis omitted, reads all remaining dataset_descent(enabled): Enable/disable archive expansion for this entryset_multi_volume_group(group_name): Register this entry as part of a split archive groupmetadata(): Return dictionary of all captured metadatafind_metadata(key): Return value for specific metadata key, or None if not found
Function: register_stream_factory
archive_r.register_stream_factory(factory_func)
Register a callback to provide custom stream objects for file access.
Parameters:
factory_func: Callable that takes a file path (str) and returns a file-like object or None
Stream object requirements:
- Must provide
read(size)method - Optional:
seek(offset, whence),tell(),rewind()
Function: on_fault
archive_r.on_fault(callback)
Register a callback to receive fault notifications during traversal.
Parameters:
callback: Callable that takes a dict with keys:hierarchy: List of path components where fault occurredmessage: Human-readable error descriptionerrno: Optional error number from system calls
Packaging
Building Wheels
cd archive_r
./build.sh --package-python
This creates wheel (.whl) and source distribution (.tar.gz) in build/bindings/python/dist/.
Manual Packaging
cd bindings/python
python setup.py sdist bdist_wheel
Requirements
- Python 3.8 or later
- libarchive 3.x (runtime dependency)
- setuptools, wheel (build dependencies)
- pybind11 >= 2.6.0 (build dependency, automatically vendored during packaging)
License
The Python bindings are distributed under the MIT License, consistent with the archive_r core library.
Third-Party Licenses
- pybind11: BSD-style License (used for C++/Python interfacing)
- libarchive: New BSD License (runtime dependency)
See Also
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- Download URL: archive_r_python-0.1.24-cp310-cp310-macosx_11_0_universal2.whl
- Upload date:
- Size: 6.5 MB
- Tags: CPython 3.10, macOS 11.0+ universal2 (ARM64, x86-64)
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
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Provenance
The following attestation bundles were made for archive_r_python-0.1.24-cp310-cp310-macosx_11_0_universal2.whl:
Publisher:
release.yml on Raizo-TCS/archive_r
-
Statement:
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Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
archive_r_python-0.1.24-cp310-cp310-macosx_11_0_universal2.whl -
Subject digest:
538be1adf67157d199124e92476cc07799f954ba582c5b4e9b24eca79aee9cb7 - Sigstore transparency entry: 1231510062
- Sigstore integration time:
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Permalink:
Raizo-TCS/archive_r@b19be1fde896c0a069b5509be5fcd93c014e5bd3 -
Branch / Tag:
refs/heads/main - Owner: https://github.com/Raizo-TCS
-
Access:
public
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Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
release.yml@b19be1fde896c0a069b5509be5fcd93c014e5bd3 -
Trigger Event:
workflow_dispatch
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Statement type: