7.2 KiB
Anki development
Packaged betas
For non-developers who want to try beta versions, the easiest way is to use a packaged version - please see:
Pre-built Python wheels
Pre-built Python packages are available on PyPI. They are useful if you wish to:
- Run Anki from a local Python installation without building it yourself
- Get code completion when developing add-ons
- Make command line scripts that modify .anki2 files via Anki's Python libraries
You will need the 64 bit version of Python 3.8 or 3.9 installed. If you do not have Python yet, please see the platform-specific instructions in the "Building from source" section below for more info.
Mac/Linux:
$ python3.8 -m venv ~/pyenv
$ ~/pyenv/bin/pip install --upgrade pip
$ ~/pyenv/bin/pip install aqt
Then to run Anki:
$ ~/pyenv/bin/anki
Windows:
c:\> python -m venv \pyenv
c:\> \pyenv\scripts\pip install --upgrade pip
c:\> \pyenv\scripts\pip install aqt
Then to run Anki:
c:\> \pyenv\scripts\anki
Building from source
Platform-specific instructions:
Don't name the Git checkout ~/Anki or ~/Documents/Anki, as those folders were used on old Anki versions and will be automatically moved.
Before contributing code, please see Contributing.
If you'd like to contribute translations, please see https://translating.ankiweb.net/#/.
Building redistributable wheels
Run the following command to create Python packages that can be redistributed and installed:
On Mac/Linux:
./scripts/build
On Windows:
.\scripts\build.bat
The generated wheel paths will be printed as the build completes.
You can then install them by copying the paths into a pip install command. Follow the steps in the "Pre-built Python wheels" section above, but replace the "pip install aqt" line with something like:
pip install --upgrade bazel-dist/*.whl
On Windows you'll need to list out the filenames manually.
Running tests
You can run all tests at once. From the top level project folder:
bazel test ...
If you're in a subfolder, ... will run the tests in that folder.
To run all tests, use //... instead.
Pylint will currently fail if you're using Python 3.9.
To run a single Rust unit test with output, eg 'unbury':
bazel run rslib:unit_tests -- --nocapture unbury
To run a single Python library test, eg test_bury:
PYTEST=test_bury bazel run //pylib:pytest
On Mac/Linux, after installing 'fswatch', you can run mypy on each file save automatically with:
./scripts/mypy-watch
Fixing formatting
If the format tests fail, most can be fixed by running format
in the relevant package:
bazel run //rslib:format
bazel run //rslib:sql_format
bazel run //rslib:proto_format
bazel run //pylib:format
bazel run //qt:format
bazel run //ts:format
bazel run //pylib/rsbridge:format
If you're in one of those folders, you can use the short form:
bazel run format
Development speedups
If you're frequently switching between Anki versions, you can create a user.bazelrc file in the top level folder with the following, which will cache build products and downloads:
build --disk_cache=~/bazel/ankidisk --repository_cache=~/bazel/ankirepo
If you're frequently modifying the Rust parts of Anki, you can place the following in your user.bazelrc file to enable incremental compilation when using ./run.
build --@rules_rust//:experimental_incremental_base=/home/myuser/bazel/incremental
The worker support is experimental, so you may need to remove it in future updates.
Python editing
PyCharm or IntelliJ IDEA seems to give the best Python editing experience. Make sure you build/run Anki first, as code completion depends on the build process to generate a bunch of files.
After telling PyCharm to create a new virtual environment for your project, locate
pip in the virtual environment, and run pip install -r pip/requirements.txt to install
all of Anki's dependencies into the environment, so that code completion works for them.
Then run pip install pyqt5 pyqtwebengine to install PyQt.
Visual Studio Code + the Python extension does support code completion, but currently seems to frequently freeze for multiple seconds while pinning the CPU at 100%. Switching from the default Jedi language server to Pylance improves the CPU usage, but Pylance doesn't do a great job understanding the type annotations.
Rust editing
Rust editor support is still fairly new, but currently Visual Studio Code + Rust Analyzer seems to be the least-bad option. Once Rust Analyzer is installed, you'll want to enable the options to expand proc macros, and run cargo check on startup.
After running 'code rslib' from the project root, it may take Rust Analyzer a while to become ready - if you check the running processes on your machine you should see it running in the background for a while.
TypeScript editing
Visual Studio Code seems to give the best experience. Use 'code ts' from the project root to start it up.
IntelliJ IDEA works reasonably well, but doesn't seem to do as good a job at offering useful completions for things like i18n.TR.
Audio
Audio playing requires mpv or mplayer to be in your system path.
Recording also requires lame to be in your system path.
Build errors and cleaning
If you get errors with @npm and node_modules in the message, try deleting the ts/node_modules folder.
Unlike the old Make system, a "clean build" should almost never be required
unless you are debugging issues with the build system. But if you need to get
things to a fresh state, you can run bazel clean --expunge. Afte doing so,
make sure you remove the ts/node_modules folder, or subsequent build commands
will fail with a "no such file or directory node_modules/anki" message.
Tracing build problems
You can run bazel with '-s' to print the commands that are being executed.
Subcomponents
- pylib contains a Python module (anki) with the non-GUI Python code, and a bridge to the Rust code.
- qt contains the Qt GUI implementation (aqt).
- rslib contains the parts of the code implemented in Rust.
- ts and qt/aqt/data/web contain Anki's typescript and sass files.
Environmental Variables
If ANKIDEV is set before starting Anki, some extra log messages will be printed on stdout, and automatic backups will be disabled - so please don't use this except on a test profile.
If TRACESQL is set, all sql statements will be printed as they are executed.
If LOGTERM is set before starting Anki, warnings and error messages that are normally placed in the collection2.log file will also be printed on stdout.
If ANKI_PROFILE_CODE is set, Python profiling data will be written on exit.
Mixing development and study
You may wish to create a separate profile with File>Switch Profile for use during development. You can pass the arguments "-p [profile name]" when starting Anki to load a specific profile.
If you're using PyCharm:
- right click on the "run" file in the root of the PyCharm Anki folder
- click "Edit 'run'..." - in Script options and enter: "-p [dev profile name]" without the quotes
- click "Ok"