* Run cargo +nightly fmt * Latest prost-build includes clippy workaround * Tweak Rust protobuf imports - Avoid use of stringify!(), as JetBrains editors get confused by it - Stop merging all protobuf symbols into a single namespace * Remove some unnecessary qualifications Found via IntelliJ lint * Migrate some asserts to assert_eq/ne * Remove mention of node_modules exclusion This no longer seems to be necessary after migrating away from Bazel, and excluding it means TS/Svelte files can't be edited properly.
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Editing/IDEs
Visual Studio Code is recommended, since it provides decent support for all the languages Anki uses. To set up the recommended workspace settings for VS Code, please see below.
For editing Python, PyCharm/IntelliJ's type checking/completion is a bit nicer than VS Code, but VS Code has improved considerably in a short span of time.
There are a few steps you'll want to take before you start using an IDE.
Initial Setup
Python Environment
For code completion of external Python modules, you can use the venv that is
generated as part of the build process. After building Anki, the venv will be in
out/pyenv
. In VS Code, use ctrl/cmd+shift+p, then 'python: select
interpreter'.
Rust
You'll need Rust to be installed, which is required as part of the build process.
Build First
Code completion partly depends on files that are generated as part of the regular build process, so for things to work correctly, use './run' or 'tools/build' prior to using code completion.
Visual Studio Code
Setting up Recommended Workspace Settings
To start off with some default workspace settings that are optimized for Anki development, please head to the project root and then run:
mkdir .vscode && cd .vscode
ln -sf ../.vscode.dist/* .
Installing Recommended Extensions
Once the workspace settings are set up, open the root of the repo in VS Code to see and install a number of recommended extensions.
PyCharm/IntelliJ
If you decide to use PyCharm instead of VS Code, there are somethings to be aware of.
Pylib References
You'll need to use File>Project Structure to tell IntelliJ that pylib/ is a sources root, so it knows references to 'anki' in aqt are valid.