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59 lines
1.9 KiB
Markdown
59 lines
1.9 KiB
Markdown
# Editing/IDEs
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Visual Studio Code is recommended, since it provides decent support for all the languages
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Anki uses. To set up the recommended workspace settings for VS Code, please see below.
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For editing Python, PyCharm/IntelliJ's type checking/completion is a bit nicer than
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VS Code, but VS Code has improved considerably in a short span of time.
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There are a few steps you'll want to take before you start using an IDE.
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## Initial Setup
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### Python Environment
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For code completion of external Python modules, you can use the venv that is
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generated as part of the build process. After building Anki, the venv will be in
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`out/pyenv`. In VS Code, use ctrl/cmd+shift+p, then 'python: select
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interpreter'.
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### Rust
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You'll need Rust to be installed, which is required as part of the build process.
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### Build First
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Code completion partly depends on files that are generated as part of the
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regular build process, so for things to work correctly, use './run' or
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'tools/build' prior to using code completion.
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## Visual Studio Code
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### Setting up Recommended Workspace Settings
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To start off with some default workspace settings that are optimized for Anki
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development, please head to the project root and then run:
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```
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mkdir .vscode && cd .vscode
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ln -sf ../.vscode.dist/* .
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```
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### Installing Recommended Extensions
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Once the workspace settings are set up, open the root of the repo in VS Code to
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see and install a number of recommended extensions.
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## PyCharm/IntelliJ
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### Setting up Python environment
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To make PyCharm recognize `anki` and `aqt` imports, you need to add source paths to _Settings > Project Structure_.
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You can copy the provided .idea.dist directory to set up the paths automatically:
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```
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mkdir .idea && cd .idea
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ln -sf ../.idea.dist/* .
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```
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You also need to add a new Python interpreter under _Settings > Python > Interpreter_ pointing to the Python executable under `out/pyenv` (available after building Anki).
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