Skip to main content

Library for working with ZIM files

Project description

pyzim - a python package for working with ZIM files

Note: pyzim is published on PyPI as python-zim due to a naming conflict with an existing package.

pyzim is a semi-pure python package for working with ZIM files. A ZIM file is basically a very highly compressed archive of a website. Examples for ZIM files include offline versions of wikipedia, stackoverflow, project gutenberg and many more.

pyzim aims to provide a very flexible and open method of interacting with ZIM files. For example, this project aims to give developers the choice whether they want access entries in a ZIM file as fast as possible or with as little RAM usage as possible. pyzim itself is written in pure python and does not depend on libzim. However, modern ZIM files use zstandard compression and pyzim depends on a C library for working with such files.

Features

pyzim is nearly fully implemented. It supports nearly all reader featurs and you should be able to read all modern ZIM files, but some features (like search) are still missing. A writer also exists and is even capable of editing existing ZIM files.

Basic features:

Most read and write operations on ZIM files are implemented.

  • Read and write ZIM files
  • all compression types are supported (at least at the time this document is being written)
  • Access header informations and metadata
  • access clusters and entries directly
  • iterate over entries and clusters
  • edit existig ZIM files (add new entries, remove entries, edit them and clusters)
  • a space allocation algorithm tries to recycle unused space in a ZIM file when it is being edited.
  • work with ZIM files at a specified offset (untested)

Missing features:

The following features are still missing, but planned:

  • search functions
  • simple illustration methods (you can already read metadata illustrations, but you will have to convert them to PIL images manually)
  • various additional CLI tools
  • support for ZIM files without namespaces

Additional features:

In addition to regular ZIM functionality, the following features are also implemented:

  • configurable caching of entries and clusters for better performance
  • various alternative implementations of clusters for better performance at the cost of RAM
  • a policy system to manage resource allocation behavior (e.g. use a policy to reduce RAM usage as much as possible at the cost of access speed)
  • ZIM editing.

General project features:

  • extensive API documentation (but not yet hosted online)
  • extensive software tests (branch-coverage of 98% at the time of writing)
  • examples are provided

Installation

pyzim is published on PyPI as python-zim due to a naming conflict with an existing package.

Via pip from PyPI To install via pip, run pip install python-zim. Alternatively, run pip install python-zim[all] to install all additional dependencies (like compression and testing libraries).

Here is a full ist of supported extra dependencies (usage: pip install python-zim[<extra>]):

  • all: all extra dependencies.
  • compression: compression related dependencies.
  • testing: testing related dependencies. Please note that tox will install further dependencies during testing.

From source

  1. Download the source code using git: git clone https://github.com/IMayBeABitShy/pyzim.git
  2. cd into directory: cd pyzim
  3. Install using pip: pip install .[compression,testing]. See above for the meaning of the extras specified. You may have to use python3 -m pip instead and/or specify --user.

Example

Please take a look at the examples/ directory for fully commented examples.

# read a specific file from the ZIM

import argparse

import pyzim

with pyzim.Zim.open(zimpath) as zim:
    entry = zim.get_content_entry_by_url(entrypath)
    entry = entry.resolve()
    print("URL: ", entry.url)
    print("Full URL: ", entry.full_url)
    print("Redirect: ", entry.is_redirect)
    print("Title: ", entry.title)
    print("Mimetype: ", entry.mimetype)
    print("Content location: {}@{}".format(entry.blob_number, entry.cluster_number))
    print("\n\n=====CONTENT=====\n\n")
    print(entry.read())

Documentation

pyzim is extensively documented using pydoctor. There is currently no online version of the documentation, but you can build it locally by running tox -e docs in the project directory, which will output HTML documentation to html/apidocs/. This requires tox to be installed.

If you are a contributor looking to write you own documentation, you can find a pydoctor syntax guide here.

Testing

At the time of writing this document, pyzim achieves a (statement-based) test coverage of 98%. You can run the tests locally by executing tox in the project directory. Specify the testing extra during installation of pyzim to automatically install all test dependencies.

pyzim logs a lot of low-level operations at numeric values below the DEBUG level. For example, each entry being read is logged, but normally aren't shown. See the documentation of pyzim.constants for these log levels. Editing tox.ini and changing the log level may be helpful when debugging.

FAQ

**Why do I get an UnsupportedCompressionType exception with a ZIM file?

pyzim depends on other libraries to handle the decompression of data from the ZIM file. Luckily, the vast majority of these libraries come included with most python distributions. Unfortunately, these libraries may not be included when you build python yourself. Additionally, the most common compression in modern ZIM files is zstandard, for which pyzim depends on pyzstd. Please ensure that this library is installed.

You can automatically install all optional compression dependencies by installing the compression extra for pyzim.

**Why do I get a BindRequired exception / what does "bound/unbound" mean?

pyzim differentiates between bound and unbound entries/clusters/... . An unbound object is an object that is not attached to any ZIM object. By default, most objects should be automatically bound by the various methods for accessing them, but if you are accessing any class directly you may encounter unbound ones.

You can bind any such objects by calling their .bind(zim_object) method.

The idea behind this behavior is that we should be able to use the same code for readers and writers.

See also

The following section lists various other resources related to ZIM files, which may be of interest to you. This includes enduser applications, alternative libraries, documentation and more. These lists are by no means exclusive.

ZIM programming libraries and documentation

ZIM files

  • The kiwix Library: A library of ZIM files provided by the kiwix project. It also allows you to browse ZIM files directly.

ZIM viewers (For endusers)

  • The kiwix website: Kiwix provides a wide range of ZIM viewers. Desktop and mobikle Apps exist.
  • kiwix-js, also available as a PWA: A ZIM browser implemented in javascript for webbrowsers, available as extensions and as a PWA.
  • kiwix-tools: kiwix-tools contains kiwix-serve, a dedicated HTTP-Server for ZIM files.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

python_zim-0.1.0.tar.gz (110.1 kB view details)

Uploaded Source

Built Distribution

python_zim-0.1.0-py3-none-any.whl (81.8 kB view details)

Uploaded Python 3

File details

Details for the file python_zim-0.1.0.tar.gz.

File metadata

  • Download URL: python_zim-0.1.0.tar.gz
  • Upload date:
  • Size: 110.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.2

File hashes

Hashes for python_zim-0.1.0.tar.gz
Algorithm Hash digest
SHA256 19398007bb9e860ae8ba071eef6e76260b6f193cbe9b937e4253cf06417135ea
MD5 6af9a9962467d8e2699a3b37fb48848b
BLAKE2b-256 3d4c76495513aa326904ffaf5777b401b9d11615487f3b5a585803a4a91d5c46

See more details on using hashes here.

File details

Details for the file python_zim-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: python_zim-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 81.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.2

File hashes

Hashes for python_zim-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 55c4a9db6d988fb43c4d224f19b79b530aec1de9249901b3a128b58902b71981
MD5 073e8120421688faa4c0363fdff5d2f0
BLAKE2b-256 57f5327c332f7bf79afee1f64944fb617b8099bc14233c7e085a2dd732eed34c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page