## 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
I used `codespell` and `gramma` to identify mispellings and grammar
errors throughout the codebase and fixed them. I tried not to make any
controversial changes, but feel free to revert as you see fit.
## 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`
When formatting notebooks, we populate the `id` field for cells that do
not have one. Previously, we generated a UUID v4 which resulted in
non-deterministic formatting. Here, we generate the UUID from a seeded
random number generator instead of using true randomness. For example,
here are the first five ids it would generate:
```
7fb27b94-1602-401d-9154-2211134fc71a
acae54e3-7e7d-407b-bb7b-55eff062a284
9a63283c-baf0-4dbc-ab1f-6479b197f3a8
8dd0d809-2fe7-4a7c-9628-1538738b07e2
72eea511-9410-473a-a328-ad9291626812
```
We also add a check that an id is not present in another cell to prevent
accidental introduction of duplicate ids.
The specification is lax, and we could just use incrementing integers
e.g. `0`, `1`, ... but I have a minor preference for retaining the UUID
format. Some discussion
[here](https://github.com/astral-sh/ruff/pull/9359#discussion_r1439607121)
— I'm happy to go either way though.
Discovered via #9293
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
LangChain is attempting to use Ruff over their Jupyter notebooks
(https://github.com/langchain-ai/langchain/pull/12677/files), but
running into a bunch of syntax errors, the majority of which come from
our inability to recognize automagic.
If you run this in a cell:
```jupyter
pip install requests
```
Jupyter will automatically treat that as:
```jupyter
%pip install requests
```
We need to ignore cells that use these automagics, since the parser
doesn't understand them. (I guess we could support it in the parser, but
that seems much harder?). The good news is that AFAICT Jupyter doesn't
let you mix automagics with code, so by skipping these cells, we don't
miss out on analyzing any Python code.
## Test Plan
1. `cargo test`
2. Ran over LangChain and verified that there are no more errors
relating to `pip install` automagics.
## Summary
This PR refactors the `NotebookIndex` struct to use `OneIndexed` to make
the
intent of the code clearer.
## Test Plan
Update the existing test case and run `cargo test` to verify the change.
- [x] Verify `--diff` output
- [x] Verify the diagnostics output
- [x] Verify `--show-source` output
## Summary
When writing back notebooks via `stdout`, we need to write back the
entire JSON content, not _just_ the fixed source code. Otherwise,
writing the output _back_ to the file will yield an invalid notebook.
Closes https://github.com/astral-sh/ruff/issues/7747
## Test Plan
`cargo test`
## Summary
This PR fixes the bug where the `NotebookIndex` was not being computed
when
using stdin as the input source.
## Test Plan
On `main`, the diagnostic output won't include the cell number when
using stdin
while it'll be included after this fix.
### `main`
```console
$ cat ~/playground/ruff/notebooks/test.ipynb | cargo run --bin ruff -- check --isolated --no-cache - --stdin-filename ~/playground/ruff/notebooks/test.ipynb
/Users/dhruv/playground/ruff/notebooks/test.ipynb:2:8: F401 [*] `math` imported but unused
/Users/dhruv/playground/ruff/notebooks/test.ipynb:7:8: F811 Redefinition of unused `random` from line 1
/Users/dhruv/playground/ruff/notebooks/test.ipynb:8:8: F401 [*] `pprint` imported but unused
/Users/dhruv/playground/ruff/notebooks/test.ipynb:12:4: F632 [*] Use `==` to compare constant literals
/Users/dhruv/playground/ruff/notebooks/test.ipynb:13:38: F632 [*] Use `==` to compare constant literals
Found 5 errors.
[*] 4 potentially fixable with the --fix option.
```
### `dhruv/notebook-index-stdin`
```console
$ cat ~/playground/ruff/notebooks/test.ipynb | cargo run --bin ruff -- check --isolated --no-cache - --stdin-filename ~/playground/ruff/notebooks/test.ipynb
/Users/dhruv/playground/ruff/notebooks/test.ipynb:cell 3:2:8: F401 [*] `math` imported but unused
/Users/dhruv/playground/ruff/notebooks/test.ipynb:cell 5:1:8: F811 Redefinition of unused `random` from line 1
/Users/dhruv/playground/ruff/notebooks/test.ipynb:cell 5:2:8: F401 [*] `pprint` imported but unused
/Users/dhruv/playground/ruff/notebooks/test.ipynb:cell 6:2:4: F632 [*] Use `==` to compare constant literals
/Users/dhruv/playground/ruff/notebooks/test.ipynb:cell 6:3:38: F632 [*] Use `==` to compare constant literals
Found 5 errors.
[*] 4 potentially fixable with the --fix option.
```
## Summary
This PR moves `ruff/jupyter` into its own `ruff_notebook` crate. Beyond
the move itself, there were a few challenges:
1. `ruff_notebook` relies on the source map abstraction. I've moved the
source map into `ruff_diagnostics`, since it doesn't have any
dependencies on its own and is used alongside diagnostics.
2. `ruff_notebook` has a couple tests for end-to-end linting and
autofixing. I had to leave these tests in `ruff` itself.
3. We had code in `ruff/jupyter` that relied on Python lexing, in order
to provide a more targeted error message in the event that a user saves
a `.py` file with a `.ipynb` extension. I removed this in order to avoid
a dependency on the parser, it felt like it wasn't worth retaining just
for that dependency.
## Test Plan
`cargo test`
2023-09-01 13:56:44 +00:00
Renamed from crates/ruff/src/jupyter/notebook.rs (Browse further)
