A python-facing API for creating and interacting with ZIM files

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Project links

Project description

python-libzim

libzim module allows you to read and write ZIM files in Python. It provides a shallow python interface on top of the C++ libzim library.

It is primarily used in openZIM scrapers like sotoki or youtube2zim.

Installation

pip install libzim

Our PyPI wheels bundle a recent release of the C++ libzim and are available for the following platforms:

macOS for x86_64 and arm64
GNU/Linux for x86_64, armhf and aarch64
Linux+musl for x86_64 and aarch64
Windows for x64

Wheels are available for CPython only (but can be built for Pypy).

Free-threaded CPython is not supported. If you use a free-threaded CPython, GIL must be turned on (using the environment variable PYTHON_GIL or the command-line option -X gil). If you don't turn it on yourself, GIL will be forced-on and you will get a warning. Only few methods support the GIL to be disabled.

Users on other platforms can install the source distribution (see Building below).

Contributions

git clone git@github.com:openzim/python-libzim.git && cd python-libzim
# hatch run test:coverage

See CONTRIBUTING.md for additional details then Open a ticket or submit a Pull Request on Github 🤗!

Usage

Read a ZIM file

from libzim.reader import Archive
from libzim.search import Query, Searcher
from libzim.suggestion import SuggestionSearcher

zim = Archive("test.zim")
print(f"Main entry is at {zim.main_entry.get_item().path}")
entry = zim.get_entry_by_path("home/fr")
print(f"Entry {entry.title} at {entry.path} is {entry.get_item().size}b.")
print(bytes(entry.get_item().content).decode("UTF-8"))

# searching using full-text index
search_string = "Welcome"
query = Query().set_query(search_string)
searcher = Searcher(zim)
search = searcher.search(query)
search_count = search.getEstimatedMatches()
print(f"there are {search_count} matches for {search_string}")
print(list(search.getResults(0, search_count)))

# accessing suggestions
search_string = "kiwix"
suggestion_searcher = SuggestionSearcher(zim)
suggestion = suggestion_searcher.suggest(search_string)
suggestion_count = suggestion.getEstimatedMatches()
print(f"there are {suggestion_count} matches for {search_string}")
print(list(suggestion.getResults(0, suggestion_count)))

Write a ZIM file

import base64
import pathlib

from libzim.writer import Creator, Item, StringProvider, FileProvider, Hint


class MyItem(Item):
    def __init__(self, title, path, content="", fpath=None):
        super().__init__()
        self.path = path
        self.title = title
        self.content = content
        self.fpath = fpath

    def get_path(self):
        return self.path

    def get_title(self):
        return self.title

    def get_mimetype(self):
        return "text/html"

    def get_contentprovider(self):
        if self.fpath is not None:
            return FileProvider(self.fpath)
        return StringProvider(self.content)

    def get_hints(self):
        return {Hint.FRONT_ARTICLE: True}


content = """<html><head><meta charset="UTF-8"><title>Web Page Title</title></head>
<body><h1>Welcome to this ZIM</h1><p>Kiwix</p></body></html>"""

pathlib.Path("home-fr.html").write_text(
    """<html><head><meta charset="UTF-8">
    <title>Bonjour</title></head>
    <body><h1>this is home-fr</h1></body></html>"""
)

item = MyItem("Hello Kiwix", "home", content)
item2 = MyItem("Bonjour Kiwix", "home/fr", None, "home-fr.html")

# illustration = pathlib.Path("icon48x48.png").read_bytes()
illustration = base64.b64decode(
    "iVBORw0KGgoAAAANSUhEUgAAADAAAAAwAQMAAABtzGvEAAAAGXRFWHRTb2Z0d2FyZQBB"
    "ZG9iZSBJbWFnZVJlYWR5ccllPAAAAANQTFRFR3BMgvrS0gAAAAF0Uk5TAEDm2GYAAAAN"
    "SURBVBjTY2AYBdQEAAFQAAGn4toWAAAAAElFTkSuQmCC"
)

with Creator("test.zim").config_indexing(True, "eng") as creator:
    creator.set_mainpath("home")
    creator.add_item(item)
    creator.add_item(item2)
    creator.add_illustration(48, illustration)
    for name, value in {
        "creator": "python-libzim",
        "description": "Created in python",
        "name": "my-zim",
        "publisher": "You",
        "title": "Test ZIM",
        "language": "eng",
        "date": "2024-06-30",
    }.items():

        creator.add_metadata(name.title(), value)

Thread safety

The reading part of the libzim is most of the time thread safe. Searching and creating part are not. libzim documentation

python-libzim disables the GIL on most of C++ libzim calls. You must prevent concurrent access yourself. This is easily done by wrapping all creator calls with a threading.Lock()

lock = threading.Lock()
with Creator("test.zim") as creator:

    # Thread #1
    with lock:
        creator.add_item(item1)

    # Thread #2
    with lock:
        creator.add_item(item2)

Type hints

libzim being a binary extension, there is no Python source to provide types information. We provide them as type stub files. When using pyright, you would normally receive a warning when importing from libzim as there could be discrepencies between actual sources and the (manually crafted) stub files.

You can disable the warning via reportMissingModuleSource = "none".

Building

libzim package building offers different behaviors via environment variables

Variable	Example	Use case
`LIBZIM_DL_VERSION`	`8.1.1` or `2023-04-14`	Specify the C++ libzim binary version to download and bundle. Either a release version string or a date, in which case it downloads a nightly
`USE_SYSTEM_LIBZIM`	`1`	Uses `LDFLAG` and `CFLAGS` to find the libzim to link against. Resulting wheel won't bundle C++ libzim.
`DONT_DOWNLOAD_LIBZIM`	`1`	Disable downloading of C++ libzim. Place headers in `include/` and libzim dylib/so in `libzim/` if no using system libzim. It will be bundled in wheel.
`PROFILE`	`0`	Enable profile tracing in Cython extension. Required for Cython code coverage reporting.
`SIGN_APPLE`	`1`	Set to sign and notarize the extension for macOS. Requires following informations
`APPLE_SIGNING_IDENTITY`	`Developer ID Application: OrgName (ID)`	Required for signing on macOS
`APPLE_SIGNING_KEYCHAIN_PATH`	`/tmp/build.keychain`	Path to the Keychain containing the certificate to sign for macOS with
`APPLE_SIGNING_KEYCHAIN_PROFILE`	`build`	Name of the profile in the specified Keychain

Building on Windows

On Windows, built wheels needs to be fixed post-build to move the bundled DLLs (libzim and libicu) next to the wrapper (Windows does not support runtime path).

After building you wheel, run

python setup.py repair_win_wheel --wheel=dist/xxx.whl --destdir wheels\

Similarily, if you install as editable (pip install -e .), you need to place those DLLs at the root of the repo.

Move-Item -Force -Path .\libzim\*.dll -Destination .\

Examples

Default: downloading and bundling most appropriate libzim release binary

python3 -m build

Using system libzim (brew, debian or manually installed) - not bundled

# using system-installed C++ libzim
brew install libzim  # macOS
apt-get install libzim-devel  # debian
dnf install libzim-dev  # fedora
USE_SYSTEM_LIBZIM=1 python3 -m build --wheel

# using a specific C++ libzim
USE_SYSTEM_LIBZIM=1 \
CFLAGS="-I/usr/local/include" \
LDFLAGS="-L/usr/local/lib"
DYLD_LIBRARY_PATH="/usr/local/lib" \
LD_LIBRARY_PATH="/usr/local/lib" \
python3 -m build --wheel

Other platforms

On platforms for which there is no official binary available, you'd have to compile C++ libzim from source first then either use DONT_DOWNLOAD_LIBZIM or USE_SYSTEM_LIBZIM.

License

GPLv3 or later, see LICENSE for more details.

Project details

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

This version

3.8.0

Nov 14, 2025

3.7.0

Apr 18, 2025

3.6.0

Oct 15, 2024

3.5.0

Sep 9, 2024

3.4.0

Dec 16, 2023

3.3.0.post0

Nov 16, 2023

3.3.0

Nov 15, 2023

3.2.0

Sep 16, 2023

3.1.0

May 1, 2023

3.0.0

Mar 16, 2023

2.1.0

Dec 6, 2022

2.0.0

Sep 6, 2022

1.1.1

Jun 17, 2022

1.1.0

May 23, 2022

1.0.0

Oct 9, 2021

0.1

Jun 10, 2021

0.0.3.post0

Jul 3, 2020

0.0.3

Jul 1, 2020

0.0.2

Jun 4, 2020

0.0.1

Apr 17, 2020

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SHA256	`71d7105425edb48df8092d0bf09466b777cca03d3d458812f451ae596da630c2`
MD5	`acc3415f11b976a384f8c622aaf6c593`
BLAKE2b-256	`c5da73c96422eb01c08795cc530f6139ef3a29ec78cdcaa608a2a849cd85a122`

Algorithm	Hash digest
SHA256	`15a7fd60fa8778b099053194ee5241429ae980de9d701dca5bc6c8f610426715`
MD5	`04f3afbb2d5d167bb688caf0397dd1cf`
BLAKE2b-256	`f266c85c89653afafc7770ae1db53b6ba2d5ab09aa06af7df3706e1ab5eee604`

Algorithm	Hash digest
SHA256	`f16f331fc9510f0bc50347150a753b8512a52f5f7d330e49a6739a8fa8053d6e`
MD5	`7ac7d2f2d67dcfa878fc0f259258cc9f`
BLAKE2b-256	`0cea712c046554048b08c39c847960b8f4d670e7e4ceb163a0bfb966d60bb87b`

Algorithm	Hash digest
SHA256	`bdf1d8e7e6a52ad6fc6a18b9940c72703cae99d04f33ae67b4e0691df912bbcd`
MD5	`a3a3f902a0177d830a24aa61df213f22`
BLAKE2b-256	`a14cab1ffc55dfec82353a6206f16e1f74f83716d2da205ebcf1f3cb18d0ca29`

Algorithm	Hash digest
SHA256	`b943444404f42b82f90a7a1f5bfe030b8454bafb5d0becc59d9fe5439602aec4`
MD5	`be9bb86cb1f7133cef8ce21e63d16ce3`
BLAKE2b-256	`6b7f50c70abfa680c47d3b43f8ba8cbb0ed6d3f7dd252e258bc19a0f043d45d7`

Algorithm	Hash digest
SHA256	`90c9ae8435371f5d219894e49a6b40bcd7bf5e9dbeff8d3a522a8bd27749db0b`
MD5	`0a5fd8493db7af9c900eac058def1115`
BLAKE2b-256	`2983a2901df3b68223b5ebbe43241901f54cc9c253bad6db9872429356b3cc0b`

libzim 3.8.0

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python-libzim

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Read a ZIM file

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Default: downloading and bundling most appropriate libzim release binary

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Algorithm	Hash digest
SHA256	`e5a2d6f3193386cb50532a5fc323ac79d2a0dafc3f27ffa8ff485cf6e11b7990`
MD5	`597ad96584fbfe8b59874d86e5b161f6`
BLAKE2b-256	`ba1efe65b6e803c859d6c34aa497cc9da57b6bfba099b92abda2b26aeeda8e6f`

Algorithm	Hash digest
SHA256	`60861787d709cb64d5b158ee120fd2af5bcd263a0b963da9434fa903cd51d496`
MD5	`6ccada3e5a400c35afe898111fb5a883`
BLAKE2b-256	`7d993e3f57ac634b6aeebbc4080ca97210f906ff262de61c1cba6db64e331652`

Algorithm	Hash digest
SHA256	`fd48c09818b4b780c1bf1bf4e8aca5b3142f6317b58d7d3ce7359069b43bac28`
MD5	`81ce4ffd3f51787a17f52a18f9ec2d85`
BLAKE2b-256	`7cfe6928f2487154d9461e61f854a0f8f6f6221e230ba5751047c151435dc6a2`

Algorithm	Hash digest
SHA256	`7e6f8653d5c8aebeb24af70b62875272cc51767d6070b7c6973f36af29428d7e`
MD5	`73cc02a5b8a2000a9c6f6f9b856e72ef`
BLAKE2b-256	`ddef4b85baba0c1f26dd12772a3e3211250d465494409b77289e5f0b0257a876`

Algorithm	Hash digest
SHA256	`9e8b1b10889c739fbb1eec002098bd548cdbefa482c136834243c8c92bdd9fe4`
MD5	`ce4c97a59f24c0f0f01f49b2e75bae19`
BLAKE2b-256	`9e5a1c774bc0dc71ac600a2239a985272f513ba4d281d63046d8acbbbfe00874`

Algorithm	Hash digest
SHA256	`eddaa0d075f1518b53e5c41ae30b99fca93c6816f265fdf5e5aa7616287f1665`
MD5	`23345e4ed75b506c24d0980a32a40e01`
BLAKE2b-256	`ff547426ae437b71a6e3b096561fdc734325fb585f96ff5a8038560594ccdaae`

Algorithm	Hash digest
SHA256	`7568234b25a2418cde9908efcaf9d35591b73ae6fe6ab71dd0892050021d910d`
MD5	`7946cd061733932febad177c0d060262`
BLAKE2b-256	`97bafc1c0c3865eed849aa702bdae3a9dfcd77ae6910ecfb8da96850f037f055`

Algorithm	Hash digest
SHA256	`eef6247e77fb012fb093465875c0d93feffd0628cf745f83dd4b9bc9b91a76f3`
MD5	`fe97abdfe2650379cc271ea344ea931f`
BLAKE2b-256	`c68ded378affa4081e362896ac9c91f9ec778c2224227d11431f43e3a82789dc`

Algorithm	Hash digest
SHA256	`11dc988f76ffa39a6fccfc7e9824d916316a2d3bbc8c4a5b7c5631122b80acec`
MD5	`eeeb38053cf1560492f6661207b71c31`
BLAKE2b-256	`88f5984da4ccb342e8be88438bd0dc0fb16def30c1124bf952805df16e8e8ffe`

Algorithm	Hash digest
SHA256	`ea792207dd1e005b10f729c1a11674495a390f55f3dafaa561e27d96769e969e`
MD5	`0972a83f4aa2c50b7d7e3a5d48c2aaf5`
BLAKE2b-256	`f6e5299fd501f7c53eaf2eaa209761c800edd51ce8977e109e655806586ef3fd`