8.4 KiB
Creating a Pyodide package
Pyodide includes a toolchain to make it easier to add new third-party Python libraries to the build. We automate the following steps:
- Download a source tarball (usually from PyPI)
- Confirm integrity of the package by comparing it to a checksum
- Apply patches, if any, to the source distribution
- Add extra files, if any, to the source distribution
- If the package includes C/C++/Cython extensions:
- Build the package natively, keeping track of invocations of the native compiler and linker
- Rebuild the package using emscripten to target WebAssembly
- If the package is pure Python:
- Run the
setup.py
script to get the built package
- Run the
- Package the results into an emscripten virtual filesystem package, which
comprises:
- A
.data
file containing the file contents of the whole package, concatenated together - A
.js
file which contains metadata about the files and installs them into the virtual filesystem.
- A
Lastly, a packages.json
file is output containing the dependency tree of all
packages, so {ref}pyodide.loadPackage <js_api_pyodide_loadPackage>
can
load a package's dependencies automatically.
mkpkg
If you wish to create a new package for pyodide, the easiest place to start is
with the mkpkg
tool. If your package is on PyPI, just run:
bin/pyodide mkpkg $PACKAGE_NAME
This will generate a meta.yaml
(see below) that should work out of the box
for many pure Python packages. This tool will populate the latest version, download
link and sha256 hash by querying PyPI. It doesn't currently handle package
dependencies, so you will need to specify those yourself.
The meta.yaml file
Packages are defined by writing a meta.yaml
file. The format of these files is
based on the meta.yaml
files used to build Conda
packages,
though it is much more limited. The most important limitation is that Pyodide
assumes there will only be one version of a given library available, whereas
Conda allows the user to specify the versions of each package that they want to
install. Despite the limitations, keeping the file format as close as possible
to conda's should make it easier to use existing conda package definitions as a
starting point to create Pyodide packages. In general, however, one should not
expect Conda packages to "just work" with Pyodide. (In the longer term, Pyodide
may use conda as its packaging system, and this should hopefully ease that
transition.)
The supported keys in the meta.yaml
file are described below.
package
package/name
The name of the package. It must match the name of the package used when
expanding the tarball, which is sometimes different from the name of the package
in the Python namespace when installed. It must also match the name of the
directory in which the meta.yaml
file is placed. It can only contain
alpha-numeric characters and -
, _
.
package/version
The version of the package.
source
source/url
The url of the source tarball.
The tarball may be in any of the formats supported by Python's
shutil.unpack_archive
: tar
, gztar
, bztar
, xztar
, and zip
.
source/path
Alternatively to source/url
, a relative or absolute path can be specified
as package source. This is useful for local testing or building packages which
are not available online in the required format.
If a path is specified, any provided checksums are ignored.
source/md5
The MD5 checksum of the tarball. It is recommended to use SHA256 instead of MD5. At most one checksum entry should be provided per package.
source/sha256
The SHA256 checksum of the tarball. It is recommended to use SHA256 instead of MD5. At most one checksum entry should be provided per package.
source/patches
A list of patch files to apply after expanding the tarball. These are applied
using patch -p1
from the root of the source tree.
source/extras
Extra files to add to the source tree. This should be a list where each entry is
a pair of the form (src, dst)
. The src
path is relative to the directory in
which the meta.yaml
file resides. The dst
path is relative to the root of
source tree (the expanded tarball).
build
build/skip_host
Skip building C extensions for the host environment. Default: True
.
Setting this to False
will result in ~2x slower builds for packages that
include C extensions. It should only be needed when a package is a build
time dependency for other packages. For instance, numpy is imported during
installation of matplotlib, importing numpy also imports included C extensions,
therefore it is built both for host and target.
build/cflags
Extra arguments to pass to the compiler when building for WebAssembly.
(This key is not in the Conda spec).
build/ldflags
Extra arguments to pass to the linker when building for WebAssembly.
(This key is not in the Conda spec).
build/post
Shell commands to run after building the library. These are run inside of
bash
, and there are two special environment variables defined:
$SITEPACKAGES
: Thesite-packages
directory into which the package has been installed.$PKGDIR
: The directory in which themeta.yaml
file resides.
(This key is not in the Conda spec).
requirements
requirements/run
A list of required packages.
(Unlike conda, this only supports package names, not versions).
Manual creation of a Pyodide package (advanced)
The previous sections describes how to add a python package to the pyodide build.
There are cases where you want to ship additional python libraries without adding it to pyodide itself. For pure python packages, this can be achieved reasonably easily. The most straightforward way is to create a Python wheel and load it with micropip. Alternatively, we can construct a python package manually.
It is helpful to have some understanding of the structure of a Pyodide package.
Pyodide is obtained by compiling CPython into web assembly. As such, it loads
packages the same way as CPython --- it looks for relevant files .py
files in
/lib/python3.x/
. When creating and loading a package, our job is to put our
.py
files in the right location in emscripten's virtual filesystem.
Suppose you have a python library that consists of a single directory
/PATH/TO/LIB/
whose contents would go into
/lib/python3.8/site-packages/PACKAGE_NAME/
under a normal python
installation.
The simplest version of the corresponding Pyodide package contains two files
--- PACKAGE_NAME.data
and PACKAGE_NAME.js
. The first file
PACKAGE_NAME.data
is a concatenation of all contents of /PATH/TO/LIB
. When
loading the package via pyodide.loadPackage
, Pyodide will load and run
PACKAGE_NAME.js
. The script then fetches PACKAGE_NAME.data
and extracts the
contents to emscripten's virtual filesystem. Afterwards, since the files are
now in /lib/python3.8/
, running import PACKAGE_NAME
in python will
successfully import the module as usual.
To produce these files, download the file_packager.py
script from
https://github.com/iodide-project/pyodide/blob/master/tools/file_packager.py. You then run the command
$ ./file_packager.py PACKAGE_NAME.data --js-output=PACKAGE_NAME.js --abi=1 --export-name=pyodide._module --use-preload-plugins --preload /PATH/TO/LIB/@/lib/python3.8/site-packages/PACKAGE_NAME/ --exclude "*__pycache__*"
The --preload
argument instructs the package to look for the file/directory
before the separator @
(namely /PATH/TO/LIB/
) and place it at the path
after the @
in the virtual filesystem (namely
/lib/python3.8/site-packages/PACKAGE_NAME/
). Remember to use the correct python version in the target path. At the time of writing, the latest release of Pyodide uses python 3.7 while git master uses python 3.8.
The --exclude
argument
specifies files to omit from the package. This argument can be repeated, e.g.
you can append --exclude README.md
to the command.
Remark. The bundled Pyodide packages uses lz4 compression when producing
PACKAGE_NAME.data
. These instructions skip this step as it requires
additional dependencies, which complicates the process. In general, lz4
compression decreases memory usage and can increase performance. On the other
hand, if your webserver serves the files with gzip compression, pre-compressing
with lz4 could in fact increase the number of bytes transferred.