## Summary
This PR adds support for VS Code specific cell metadata to consider when
collecting valid code cells.
For context, Ruff only runs on valid code cells. These are the code
cells that doesn't contain cell magics. Previously, Ruff only used the
notebook's metadata to determine whether it's a Python notebook. But, in
VS Code, a notebook's preferred language might be Python but it could
still contain code cells for other languages. This can be determined
with the `metadata.vscode.languageId` field.
### References:
* https://code.visualstudio.com/docs/languages/identifiers
* e6c009a3d4/extensions/ipynb/src/serializers.ts (L104-L107)
*
e6c009a3d4/extensions/ipynb/src/serializers.ts (L117-L122)
This brings us one step closer to fixing #12281.
## Test Plan
Add test cases for `is_valid_python_code_cell` and an integration test
case which showcase running it end to end. The test notebook contains a
JavaScript code cell and a Python code cell.
## Summary
Closes#11914.
This PR introduces a snapshot test that replays the LSP requests made
during a document formatting request, and confirms that the notebook
document is updated in the expected way.
## Summary
Closes https://github.com/astral-sh/ruff/issues/10858.
`ruff server` now supports `*.ipynb` (aka Jupyter Notebook) files.
Extensive internal changes have been made to facilitate this, which I've
done some work to contextualize with documentation and an pre-review
that highlights notable sections of the code.
`*.ipynb` cells should behave similarly to `*.py` documents, with one
major exception. The format command `ruff.applyFormat` will only apply
to the currently selected notebook cell - if you want to format an
entire notebook document, use `Format Notebook` from the VS Code context
menu.
## Test Plan
The VS Code extension does not yet have Jupyter Notebook support
enabled, so you'll first need to enable it manually. To do this,
checkout the `pre-release` branch and modify `src/common/server.ts` as
follows:
Before:
After:
I recommend testing this PR with large, complicated notebook files. I
used notebook files from [this popular
repository](https://github.com/jakevdp/PythonDataScienceHandbook/tree/master/notebooks)
in my preliminary testing.
The main thing to test is ensuring that notebook cells behave the same
as Python documents, besides the aforementioned issue with
`ruff.applyFormat`. You should also test adding and deleting cells (in
particular, deleting all the code cells and ensure that doesn't break
anything), changing the kind of a cell (i.e. from markup -> code or vice
versa), and creating a new notebook file from scratch. Finally, you
should also test that source actions work as expected (and across the
entire notebook).
Note: `ruff.applyAutofix` and `ruff.applyOrganizeImports` are currently
broken for notebook files, and I suspect it has something to do with
https://github.com/astral-sh/ruff/issues/11248. Once this is fixed, I
will update the test plan accordingly.
---------
Co-authored-by: nolan <nolan.king90@gmail.com>
## Summary
Given a statement like `colors = 6`, we currently treat the cell as an
automagic (since `colors` is an automagic) -- i.e., we assume it's
equivalent to `%colors = 6`. This PR adds some additional detection
whereby if the statement is an _assignment_, we avoid treating it as
such. I audited the list of automagics, and I believe this is safe for
all of them.
Closes https://github.com/astral-sh/ruff/issues/8526.
Closes https://github.com/astral-sh/ruff/issues/9648.
## Test Plan
`cargo test`
The example below used to panic because we tried to split at 2 bytes in
the 4-bytes character `转`.
```python
def sample_func(xx):
"""
转置 (transpose)
"""
return xx.T
```
Fixes#9145
Fixes https://github.com/astral-sh/ruff-vscode/issues/362
The second commit is a small test refactoring.
## Summary
This PR updates the logic for `is_magic_cell` to include certain cell
magics. These cell magics would contain Python code following the line
defining the command. The code could define a variable which can then be
referenced in other cells. Currently, we would ignore the cell
completely leading to undefined-name violation.
As discussed in
https://github.com/astral-sh/ruff/issues/8354#issuecomment-1832221009
## Test Plan
Add new test case to validate this scenario.
## Summary
This PR updates the `E402` rule to work at cell level for Jupyter
notebooks. This is enabled only in preview to gather feedback.
The implementation basically resets the import boundary flag on the
semantic model when we encounter the first statement in a cell.
Another potential solution is to introduce `E403` rule that is
specifically for notebooks that works at cell level while `E402` will be
disabled for notebooks.
## Test Plan
Add a notebook with imports in multiple cells and verify that the rule
works as expected.
resolves: #8669
## Summary
This PR updates `B015` and `B018` to ignore last top-level expressions
in each cell of a Jupyter Notebook.
Part of #8669
## Test Plan
Add test cases for both rules and update the snapshots.
