## Summary
When debugging, I frequently want to know which symbols are being looked
up. `symbol_by_id` adds tracing information, but it only shows the
`ScopedSymbolId`. Since `symbol_by_id` is only called from `symbol`, it
seems reasonable to move the tracing call one level up from
`symbol_by_id` to `symbol`, where we can also show the name of the
symbol.
**Before**:
```
6 └─┐red_knot_python_semantic::types::infer::infer_expression_types{expression=Id(60de), file=/home/shark/tomllib_modified/_parser.py}
6 └─┐red_knot_python_semantic::types::symbol_by_id{symbol=ScopedSymbolId(33)}
6 ┌─┘
6 └─┐red_knot_python_semantic::types::symbol_by_id{symbol=ScopedSymbolId(123)}
6 ┌─┘
6 └─┐red_knot_python_semantic::types::symbol_by_id{symbol=ScopedSymbolId(54)}
6 ┌─┘
6 └─┐red_knot_python_semantic::types::symbol_by_id{symbol=ScopedSymbolId(122)}
6 ┌─┘
6 └─┐red_knot_python_semantic::types::symbol_by_id{symbol=ScopedSymbolId(165)}
6 ┌─┘
6 ┌─┘
6 └─┐red_knot_python_semantic::types::symbol_by_id{symbol=ScopedSymbolId(32)}
6 ┌─┘
6 └─┐red_knot_python_semantic::types::symbol_by_id{symbol=ScopedSymbolId(232)}
6 ┌─┘
6 ┌─┘
6 ┌─┘
6┌─┘
```
**After**:
```
5 └─┐red_knot_python_semantic::types::infer::infer_expression_types{expression=Id(60de), file=/home/shark/tomllib_modified/_parser.py}
5 └─┐red_knot_python_semantic::types::symbol{name="dict"}
5 ┌─┘
5 └─┐red_knot_python_semantic::types::symbol{name="dict"}
5 ┌─┘
5 └─┐red_knot_python_semantic::types::symbol{name="list"}
5 ┌─┘
5 └─┐red_knot_python_semantic::types::symbol{name="list"}
5 ┌─┘
5 └─┐red_knot_python_semantic::types::symbol{name="isinstance"}
5 ┌─┘
5 └─┐red_knot_python_semantic::types::symbol{name="isinstance"}
5 ┌─┘
5 ┌─┘
5 └─┐red_knot_python_semantic::types::symbol{name="ValueError"}
5 ┌─┘
5 └─┐red_knot_python_semantic::types::symbol{name="ValueError"}
5 ┌─┘
5 ┌─┘
5 ┌─┘
5┌─┘
```
## Test Plan
```
cargo run --bin red_knot -- --current-directory path/to/tomllib -vvv
```
## Summary
While looking at #14899, I looked at seeing if I could get shrinking on
the examples. It turned out to be straightforward, with a couple of
caveats.
I'm calling `clone` a lot during shrinking. Since by the shrink step
we're already looking at a test failure this feels fine? Unless I
misunderstood `quickcheck`'s core loop
When shrinking `Intersection`s, in order to just rely on `quickcheck`'s
`Vec` shrinking without thinking about it too much, the shrinking
strategy is:
- try to shrink the negative side (keeping the positive side the same)
- try to shrink the positive side (keeping the negative side the same)
This means that you can't shrink from `(A & B & ~C & ~D)` directly to
`(A & ~C)`! You would first need an intermediate failure at `(A & B &
~C)` or `(A & ~C & ~D)`. This feels good enough. Shrinking the negative
side first also has the benefit of trying to strip down negative
elements in these intersections.
## Test Plan
`cargo test -p red_knot_python_semantic -- --ignored
types::property_tests::stable` still fails as it current does on `main`,
but now the errors seem more minimal.
## Summary
Adds `class-as-data-structure` rule (`B903`). Also compare pylint's `too-few-public-methods` (`PLR0903`).
Took some creative liberty with this by allowing the class to have any
decorators or base classes. There are years-old issues on pylint that
don't approve of the strictness when it comes to these things.
Especially considering that dataclass is a decorator and namedtuple _can
be_ a base class. I feel ignoring those explicitly is redundant all
things considered, but it's not a hill I'm willing to die on!
See: #970
## Test Plan
`cargo test`
---------
Co-authored-by: Micha Reiser <micha@reiser.io>
Co-authored-by: dylwil3 <dylwil3@gmail.com>
Just like in #15045 for unary expressions: In binary expressions, we
were only looking for dunder expressions for `Type::Instance` types. We
had some special cases for coercing the various `Literal` types into
their corresponding `Instance` types before doing the lookup. But we can
side-step all of that by using the existing `Type::to_meta_type` and
`Type::to_instance` methods.
Resolves#14840
## Summary
Usage of ellipsis literal as default argument is allowed in stub files.
## Test Plan
Added mdtest for both python files and stub files.
---------
Co-authored-by: Carl Meyer <carl@oddbird.net>
Co-authored-by: Alex Waygood <Alex.Waygood@Gmail.com>
## Summary
The test expression in an `elif` clause is evaluated whether or not we
take the branch. Our control flow model for if/elif chains failed to
reflect this, causing wrong inference in cases where an assignment
expression occurs inside an `elif` test expression. Our "no branch taken
yet" snapshot (which is the starting state for every new elif branch)
can't simply be the pre-if state, it must be updated after visiting each
test expression.
Once we do this, it also means we no longer need to track a vector of
narrowing constraints to reapply for each new branch, since our "branch
not taken" state (which is the initial state for each branch) is
continuously updated to include the negative narrowing constraints of
all previous branches.
Fixes#15033.
## Test Plan
Added mdtests.
---------
Co-authored-by: Alex Waygood <Alex.Waygood@Gmail.com>
## Summary
We understand `sys.version_info` branches now! As such, I _believe_ this
branch is no longer required; all tests pass without it. I also ran
`QUICKCHECK_TESTS=100000 cargo test -p red_knot_python_semantic --
--ignored types::property_tests::stable`, and no tests failed except for
the known issue with `Type::is_assignable_to()`
(https://github.com/astral-sh/ruff/issues/14899)
## Test Plan
See above
This updates the mdtest harness to catch any panics that occur during
type checking, and to display the panic message as an mdtest failure.
(We don't know which specific line causes the failure, so we attribute
panics to the first line of the test case.)
The default logging level for diagnostics includes logs written using
the `log` crate with level `error`, `warn`, and `info`. An unsuccessful
fix attached to a diagnostic via `try_set_fix` or `try_set_optional_fix`
was logged at level `error`. Note that the user would see these messages
even without passing `--fix`, and possibly also on lines with `noqa`
comments.
This PR changes the logging level here to a `debug`. We also found
ad-hoc instances of error logging in the implementations of several
rules, and have replaced those with either a `debug` or call to
`try_set{_optional}_fix`.
Closes#15229
## Summary
This PR re-introduces the control-flow graph implementation which was
first introduced in #5384, and then removed in #9463 due to not being
feature complete. Mainly, it lacked the ability to process
`try`-`except` blocks, along with some more minor bugs.
Closes#8958 and #8959 and #14881.
## Overview of Changes
I will now highlight the major changes implemented in this PR, in order
of implementation.
1. Introduced a post-processing step in loop handling to find any
`continue` or `break` statements within the loop body and redirect them
appropriately.
2. Introduced a loop-continue block which is always placed at the end of
loop blocks, and ensures proper looping regardless of the internal logic
of the block. This resolves#8958.
3. Implemented `try` processing with the following logic (resolves
#8959):
1. In the example below the cfg first encounters a conditional
`ExceptionRaised` forking if an exception was (or will be) raised in the
try block. This is not possible to know (except for trivial cases) so we
assume both paths can be taken unconditionally.
2. Going down the `try` path the cfg goes `try`->`else`->`finally`
unconditionally.
3. Going down the `except` path the cfg will meet several conditional
`ExceptionCaught` which fork depending on the nature of the exception
caught. Again there's no way to know which exceptions may be raised so
both paths are assumed to be taken unconditionally.
4. If none of the exception blocks catch the exception then the cfg
terminates by raising a new exception.
5. A post-processing step is also implemented to redirect any `raises`
or `returns` within the blocks appropriately.
```python
def func():
try:
print("try")
except Exception:
print("Exception")
except OtherException as e:
print("OtherException")
else:
print("else")
finally:
print("finally")
```
```mermaid
flowchart TD
start(("Start"))
return(("End"))
block0[["`*(empty)*`"]]
block1["print(#quot;finally#quot;)\n"]
block2["print(#quot;else#quot;)\n"]
block3["print(#quot;try#quot;)\n"]
block4[["Exception raised"]]
block5["print(#quot;OtherException#quot;)\n"]
block6["try:
print(#quot;try#quot;)
except Exception:
print(#quot;Exception#quot;)
except OtherException as e:
print(#quot;OtherException#quot;)
else:
print(#quot;else#quot;)
finally:
print(#quot;finally#quot;)\n"]
block7["print(#quot;Exception#quot;)\n"]
block8["try:
print(#quot;try#quot;)
except Exception:
print(#quot;Exception#quot;)
except OtherException as e:
print(#quot;OtherException#quot;)
else:
print(#quot;else#quot;)
finally:
print(#quot;finally#quot;)\n"]
block9["try:
print(#quot;try#quot;)
except Exception:
print(#quot;Exception#quot;)
except OtherException as e:
print(#quot;OtherException#quot;)
else:
print(#quot;else#quot;)
finally:
print(#quot;finally#quot;)\n"]
start --> block9
block9 -- "Exception raised" --> block8
block9 -- "else" --> block3
block8 -- "Exception" --> block7
block8 -- "else" --> block6
block7 --> block1
block6 -- "OtherException" --> block5
block6 -- "else" --> block4
block5 --> block1
block4 --> return
block3 --> block2
block2 --> block1
block1 --> block0
block0 --> return
```
6. Implemented `with` processing with the following logic:
1. `with` statements have no conditional execution (apart from the
hidden logic handling the enter and exit), so the block is assumed to
execute unconditionally.
2. The one exception is that exceptions raised within the block may
result in control flow resuming at the end of the block. Since it is not
possible know if an exception will be raised, or if it will be handled
by the context manager, we assume that execution always continues after
`with` blocks even if the blocks contain `raise` or `return` statements.
This is handled in a post-processing step.
## Test Plan
Additional test fixtures and control-flow fixtures were added.
---------
Co-authored-by: Micha Reiser <micha@reiser.io>
Co-authored-by: dylwil3 <dylwil3@gmail.com>
## Summary
Remove `Type::tuple` in favor of `TupleType::from_elements`, avoid a few
intermediate `Vec`tors. Resolves an old [review
comment](https://github.com/astral-sh/ruff/pull/14744#discussion_r1867493706).
## Test Plan
New regression test for something I ran into while implementing this.
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## Summary
<!-- What's the purpose of the change? What does it do, and why? -->
During https://github.com/astral-sh/ruff/pull/15209, additional spaces
was accidentally added to the rule
`airflow.operators.latest_only.LatestOnlyOperator`. This PR fixes this
issue
## Test Plan
<!-- How was it tested? -->
A test fixture has been included for the rule.
## Summary
Airflow 3.0 removes various deprecated functions, members, modules, and
other values. They have been deprecated in 2.x, but the removal causes
incompatibilities that we want to detect. This PR add rules for the
following.
* Removed class attribute
* `airflow.providers_manager.ProvidersManager.dataset_factories` →
`airflow.providers_manager.ProvidersManager.asset_factories`
* `airflow.providers_manager.ProvidersManager.dataset_uri_handlers` →
`airflow.providers_manager.ProvidersManager.asset_uri_handlers`
*
`airflow.providers_manager.ProvidersManager.dataset_to_openlineage_converters`
→
`airflow.providers_manager.ProvidersManager.asset_to_openlineage_converters`
* `airflow.lineage.hook.DatasetLineageInfo.dataset` →
`airflow.lineage.hook.AssetLineageInfo.asset`
* Removed class method (subclasses in airflow should also checked)
* `airflow.secrets.base_secrets.BaseSecretsBackend.get_conn_uri` →
`airflow.secrets.base_secrets.BaseSecretsBackend.get_conn_value`
* `airflow.secrets.base_secrets.BaseSecretsBackend.get_connections` →
`airflow.secrets.base_secrets.BaseSecretsBackend.get_connection`
* `airflow.hooks.base.BaseHook.get_connections` → use `get_connection`
* `airflow.datasets.BaseDataset.iter_datasets` →
`airflow.sdk.definitions.asset.BaseAsset.iter_assets`
* `airflow.datasets.BaseDataset.iter_dataset_aliases` →
`airflow.sdk.definitions.asset.BaseAsset.iter_asset_aliases`
* Removed constructor args (subclasses in airflow should also checked)
* argument `filename_template`
in`airflow.utils.log.file_task_handler.FileTaskHandler`
* in `BaseOperator`
* `sla`
* `task_concurrency` → `max_active_tis_per_dag`
* in `BaseAuthManager`
* `appbuilder`
* Removed class variable (subclasses anywhere should be checked)
* in `airflow.plugins_manager.AirflowPlugin`
* `executors` (from #43289)
* `hooks`
* `operators`
* `sensors`
* Replaced names
* `airflow.hooks.base_hook.BaseHook` → `airflow.hooks.base.BaseHook`
* `airflow.operators.dagrun_operator.TriggerDagRunLink` →
`airflow.operators.trigger_dagrun.TriggerDagRunLink`
* `airflow.operators.dagrun_operator.TriggerDagRunOperator` →
`airflow.operators.trigger_dagrun.TriggerDagRunOperator`
* `airflow.operators.python_operator.BranchPythonOperator` →
`airflow.operators.python.BranchPythonOperator`
* `airflow.operators.python_operator.PythonOperator` →
`airflow.operators.python.PythonOperator`
* `airflow.operators.python_operator.PythonVirtualenvOperator` →
`airflow.operators.python.PythonVirtualenvOperator`
* `airflow.operators.python_operator.ShortCircuitOperator` →
`airflow.operators.python.ShortCircuitOperator`
* `airflow.operators.latest_only_operator.LatestOnlyOperator` →
`airflow.operators.latest_only.LatestOnlyOperator`
In additional to the changes above, this PR also add utility functions
and improve docstring.
## Test Plan
A test fixture is included in the PR.
## Summary
Changes two things about the entry:
* make the example valid TOML - inline tables must be a single line, at
least till v1.1.0 is released,
but also while in the future the toml version used by ruff might handle
it, it would probably be
good to stick to a spec that's readable by the vast majority of other
tools and versions as well,
especially if people are using `pyproject.toml`. The current example
leads to `ruff` failure.
See https://github.com/toml-lang/toml/pull/904
* adds a line about the ability to add non-Python files to the map,
which I think is a specific and
important feature people should know about (in fact, I would assume this
could potentially
become the single biggest use-case for this).
## Test Plan
Ran doc creation as described in the
[contribution](https://docs.astral.sh/ruff/contributing/#mkdocs) guide.
---------
Co-authored-by: Charlie Marsh <charlie.r.marsh@gmail.com>
## Summary
Part of #13773
This PR adds diagnostics when there is a length mismatch during
unpacking between the number of target expressions and the number of
types for the unpack value expression.
There are 3 cases of diagnostics here where the first two occurs when
there isn't a starred expression and the last one occurs when there's a
starred expression:
1. Number of target expressions is **less** than the number of types
that needs to be unpacked
2. Number of target expressions is **greater** then the number of types
that needs to be unpacked
3. When there's a starred expression as one of the target expression and
the number of target expressions is greater than the number of types
Examples for all each of the above cases:
```py
# red-knot: Too many values to unpack (expected 2, got 3) [lint:invalid-assignment]
a, b = (1, 2, 3)
# red-knot: Not enough values to unpack (expected 2, got 1) [lint:invalid-assignment]
a, b = (1,)
# red-knot: Not enough values to unpack (expected 3 or more, got 2) [lint:invalid-assignment]
a, *b, c, d = (1, 2)
```
The (3) case is a bit special because it uses a distinct wording
"expected n or more" instead of "expected n" because of the starred
expression.
### Location
The diagnostic location is the target expression that's being unpacked.
For nested targets, the location will be the nested expression. For
example:
```py
(a, (b, c), d) = (1, (2, 3, 4), 5)
# ^^^^^^
# red-knot: Too many values to unpack (expected 2, got 3) [lint:invalid-assignment]
```
For future improvements, it would be useful to show the context for why
this unpacking failed. For example, for why the expected number of
targets is `n`, we can highlight the relevant elements for the value
expression.
In the **ecosystem**, **Pyright** uses the target expressions for
location while **mypy** uses the value expression for the location. For
example:
```py
if 1:
# mypy: Too many values to unpack (2 expected, 3 provided) [misc]
# vvvvvvvvv
a, b = (1, 2, 3)
# ^^^^
# Pyright: Expression with type "tuple[Literal[1], Literal[2], Literal[3]]" cannot be assigned to target tuple
# Type "tuple[Literal[1], Literal[2], Literal[3]]" is incompatible with target tuple
# Tuple size mismatch; expected 2 but received 3 [reportAssignmentType]
# red-knot: Too many values to unpack (expected 2, got 3) [lint:invalid-assignment]
```
## Test Plan
Update existing test cases TODO with the error directives.
Fixes: #15176
## Summary
Neither of these rules make any sense in stub files. Technically TC007
should already not have triggered, due to the typing only context of the
binding, but it's better to be explicit.
Keeping TC008 enabled on the other hand makes sense to me, although we
could probably be more aggressive with unquoting in a typing runtime
context.
## Test Plan
`cargo nextest run`
## Summary
Ref:
3533d7f5b4 (r150651102)
This PR removes the `Ranged` implementation on `DefinitionKind` and
instead uses a method called `target_range` to avoid any confusion about
what range this is for i.e., it's not the range of the node that
represents the definition.
## Summary
Related to #13773
This PR adds support for unpacking `for` statement targets.
This involves updating the `value` field in the `Unpack` target to use
an enum which specifies the "where did the value expression came from?".
This is because for an iterable expression, we need to unpack the
iterator type while for assignment statement we need to unpack the value
type itself. And, this needs to be done in the unpack query.
### Question
One of the ways unpacking works in `for` statement is by looking at the
union of the types because if the iterable expression is a tuple then
the iterator type will be union of all the types in the tuple. This
means that the test cases that will test the unpacking in `for`
statement will also implicitly test the unpacking union logic. I was
wondering if it makes sense to merge these cases and only add the ones
that are specific to the union unpacking or for statement unpacking
logic.
## Test Plan
Add test cases involving iterating over a tuple type. I've intentionally
left out certain cases for now and I'm curious to know any thoughts on
the above query.
## Summary
Closes#14975 by modifying the docstring of the InvalidPyprojectToml
rule. Previously the docs were incorrectly stating that author name and
emails must be individual items in the authors list, rather than part of
a single object for each respective author.
## Test Plan
This was a docstring change, no tests needed.
## Summary
This changeset adds support for precise type-inference and
boundness-handling of definitions inside control-flow branches with
statically-known conditions, i.e. test-expressions whose truthiness we
can unambiguously infer as *always false* or *always true*.
This branch also includes:
- `sys.platform` support
- statically-known branches handling for Boolean expressions and while
loops
- new `target-version` requirements in some Markdown tests which were
now required due to the understanding of `sys.version_info` branches.
closes#12700closes#15034
## Performance
### `tomllib`, -7%, needs to resolve one additional module (sys)
| Command | Mean [ms] | Min [ms] | Max [ms] | Relative |
|:---|---:|---:|---:|---:|
| `./red_knot_main --project /home/shark/tomllib` | 22.2 ± 1.3 | 19.1 |
25.6 | 1.00 |
| `./red_knot_feature --project /home/shark/tomllib` | 23.8 ± 1.6 | 20.8
| 28.6 | 1.07 ± 0.09 |
### `black`, -6%
| Command | Mean [ms] | Min [ms] | Max [ms] | Relative |
|:---|---:|---:|---:|---:|
| `./red_knot_main --project /home/shark/black` | 129.3 ± 5.1 | 119.0 |
137.8 | 1.00 |
| `./red_knot_feature --project /home/shark/black` | 136.5 ± 6.8 | 123.8
| 147.5 | 1.06 ± 0.07 |
## Test Plan
- New Markdown tests for the main feature in
`statically-known-branches.md`
- New Markdown tests for `sys.platform`
- Adapted tests for `EllipsisType`, `Never`, etc
## Summary
This PR fixes an issue where Ruff's `D403` rule
(`first-word-uncapitalized`) was not detecting some single-word edge
cases that are picked up by `pydocstyle`.
The change involves extracting the first word of the docstring by
identifying the first whitespace character. This is consistent with
`pydocstyle` which uses `.split()` - see
8d0cdfc93e/src/pydocstyle/checker.py (L581C13-L581C64)
## Example
Here is a playground example -
https://play.ruff.rs/eab9ea59-92cf-4e44-b1a9-b54b7f69b178
```py
def example1():
"""foo"""
def example2():
"""foo
Hello world!
"""
def example3():
"""foo bar
Hello world!
"""
def example4():
"""
foo
"""
def example5():
"""
foo bar
"""
```
`pydocstyle` detects all five cases:
```bash
$ pydocstyle test.py --select D403
dev/test.py:2 in public function `example1`:
D403: First word of the first line should be properly capitalized ('Foo', not 'foo')
dev/test.py:5 in public function `example2`:
D403: First word of the first line should be properly capitalized ('Foo', not 'foo')
dev/test.py:11 in public function `example3`:
D403: First word of the first line should be properly capitalized ('Foo', not 'foo')
dev/test.py:17 in public function `example4`:
D403: First word of the first line should be properly capitalized ('Foo', not 'foo')
dev/test.py:22 in public function `example5`:
D403: First word of the first line should be properly capitalized ('Foo', not 'foo')
```
Ruff (`0.8.4`) fails to catch example2 and example4.
## Test Plan
* Added two new test cases to cover the previously missed single-word
docstring cases.
## Summary
Refer:
https://github.com/astral-sh/ruff/issues/13773#issuecomment-2548020368
This PR adds support for unpacking union types.
Unpacking a union type requires us to first distribute the types for all
the targets that are involved in an unpacking. For example, if there are
two targets and a union type that needs to be unpacked, each target will
get a type from each element in the union type.
For example, if the type is `tuple[int, int] | tuple[int, str]` and the
target has two elements `(a, b)`, then
* The type of `a` will be a union of `int` and `int` which are at index
0 in the first and second tuple respectively which resolves to an `int`.
* Similarly, the type of `b` will be a union of `int` and `str` which
are at index 1 in the first and second tuple respectively which will be
`int | str`.
### Refactors
There are couple of refactors that are added in this PR:
* Add a `debug_assertion` to validate that the unpack target is a list
or a tuple
* Add a separate method to handle starred expression
## Test Plan
Update `unpacking.md` with additional test cases that uses union types.
This is done using parameter type hints style.
## Summary
This PR adds initial support for `type: ignore`. It doesn't do anything
fancy yet like:
* Detecting invalid type ignore comments
* Detecting type ignore comments that are part of another suppression
comment: `# fmt: skip # type: ignore`
* Suppressing specific lints `type: ignore [code]`
* Detecting unsused type ignore comments
* ...
The goal is to add this functionality in separate PRs.
## Test Plan
---------
Co-authored-by: Carl Meyer <carl@astral.sh>
Co-authored-by: Alex Waygood <Alex.Waygood@Gmail.com>
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## Summary
<!-- What's the purpose of the change? What does it do, and why? -->
Fix#11482. Applies
https://github.com/adamchainz/flake8-comprehensions/pull/205 to ruff.
`C416` should be skipped if comprehension contains unpacking. Here's an
example:
```python
list_of_lists = [[1, 2], [3, 4]]
# ruff suggests `list(list_of_lists)` here, but that would change the result.
# `list(list_of_lists)` is not `[(1, 2), (3, 4)]`
a = [(x, y) for x, y in list_of_lists]
# This is equivalent to `list(list_of_lists)`
b = [x for x in list_of_lists]
```
## Test Plan
<!-- How was it tested? -->
Existing checks
---------
Signed-off-by: harupy <hkawamura0130@gmail.com>
## Summary
resolves#14883
This PR removes the known limitation section in the documentation of
`eq-without-hash`. That is not actually a limitation as a subclass
overriding the `__eq__` method would have its `__hash__` set to `None`
implicitly. The user should explicitly inherit the `__hash__` method
from the parent class.
## Test Plan
<img width="619" alt="Screenshot 2024-12-20 at 2 02 47 PM"
src="https://github.com/user-attachments/assets/552defcd-25e1-4153-9ab9-e5b9d5fbe8cc"
/>
---------
Co-authored-by: Dhruv Manilawala <dhruvmanila@gmail.com>
## Summary
Airflow 3.0 removes various deprecated functions, members, modules, and
other values. They have been deprecated in 2.x, but the removal causes
incompatibilities that we want to detect. This PR deprecates the
following names and add a function for removed methods
* `airflow.datasets.manager.DatasetManager.register_dataset_change` →
`airflow.assets.manager.AssetManager.register_asset_change`
* `airflow.datasets.manager.DatasetManager.create_datasets` →
`airflow.assets.manager.AssetManager.create_assets`
* `airflow.datasets.manager.DatasetManager.notify_dataset_created` →
`airflow.assets.manager.AssetManager.notify_asset_created`
* `airflow.datasets.manager.DatasetManager.notify_dataset_changed` →
`airflow.assets.manager.AssetManager.notify_asset_changed`
* `airflow.datasets.manager.DatasetManager.notify_dataset_alias_created`
→ `airflow.assets.manager.AssetManager.notify_asset_alias_created`
*
`airflow.providers.amazon.auth_manager.aws_auth_manager.AwsAuthManager.is_authorized_dataset`
→
`airflow.providers.amazon.auth_manager.aws_auth_manager.AwsAuthManager.is_authorized_asset`
* `airflow.lineage.hook.HookLineageCollector.create_dataset` →
`airflow.lineage.hook.HookLineageCollector.create_asset`
* `airflow.lineage.hook.HookLineageCollector.add_input_dataset` →
`airflow.lineage.hook.HookLineageCollector.add_input_asset`
* `airflow.lineage.hook.HookLineageCollector.add_output_dataset` →
`airflow.lineage.hook.HookLineageCollector.dd_output_asset`
* `airflow.lineage.hook.HookLineageCollector.collected_datasets` →
`airflow.lineage.hook.HookLineageCollector.collected_assets`
*
`airflow.providers_manager.ProvidersManager.initialize_providers_dataset_uri_resources`
→
`airflow.providers_manager.ProvidersManager.initialize_providers_asset_uri_resources`
## Test Plan
A test fixture is included in the PR.
When confronted with `raise from exc` the parser will now create a
`StmtRaise` that has `None` for the exception and `exc` for the cause.
Before, the parser created a `StmtRaise` with `from` for the exception,
no cause, and a spurious expression `exc` afterwards.
## Summary
A follow up PR on https://github.com/astral-sh/ruff/issues/14991
Ruff ignores hardcoded passwords for typed variables. Add a rule to
catch passwords in typed code bases
## Test Plan
Includes 2 more test typed variables
We have a handy `to_meta_type` that does the right thing for class
instances, and also works for all of the other types that are “instances
of” something. Unless I'm missing something, this should let us get rid
of the catch-all clause in one fell swoop.
cf #14548
## Summary
I'm currently on the fence about landing the #14760 PR because it's
unclear how we'd support tracking used and unused suppression comments
in a performant way:
* Salsa adds an "untracked" dependency to every query reading
accumulated values. This has the effect that the query re-runs on every
revision. For example, a possible future query
`unused_suppression_comments(db, file)` would re-run on every
incremental change and for every file. I don't expect the operation
itself to be expensive, but it all adds up in a project with 100k+ files
* Salsa collects the accumulated values by traversing the entire query
dependency graph. It can skip over sub-graphs if it is known that they
contain no accumulated values. This makes accumulators a great tool for
when they are rare; diagnostics are a good example. Unfortunately,
suppressions are more common, and they often appear in many different
files, making the "skip over subgraphs" optimization less effective.
Because of that, I want to wait to adopt salsa accumulators for type
check diagnostics (we could start using them for other diagnostics)
until we have very specific reasons that justify regressing incremental
check performance.
This PR does a "small" refactor that brings us closer to what I have in
#14760 but without using accumulators. To emit a diagnostic, a method
needs:
* Access to the db
* Access to the currently checked file
This PR introduces a new `InferContext` that holds on to the db, the
current file, and the reported diagnostics. It replaces the
`TypeCheckDiagnosticsBuilder`. We pass the `InferContext` instead of the
`db` to methods that *might* emit diagnostics. This simplifies some of
the `Outcome` methods, which can now be called with a context instead of
a `db` and the diagnostics builder. Having the `db` and the file on a
single type like this would also be useful when using accumulators.
This PR doesn't solve the issue that the `Outcome` types feel somewhat
complicated nor that it can be annoying when you need to report a
`Diagnostic,` but you don't have access to an `InferContext` (or the
file). However, I also believe that accumulators won't solve these
problems because:
* Even with accumulators, it's necessary to have a reference to the file
that's being checked. The struggle would be to get a reference to that
file rather than getting a reference to `InferContext`.
* Users of the `HasTy` trait (e.g., a linter) don't want to bother
getting the `File` when calling `Type::return_ty` because they aren't
interested in the created diagnostics. They just want to know what
calling the current expression would return (and if it even is a
callable). This is what the different methods of `Outcome` enable today.
I can ask for the return type without needing extra data that's only
relevant for emitting a diagnostic.
A shortcoming of this approach is that it is now a bit confusing when to
pass `db` and when an `InferContext`. An option is that we'd make the
`file` on `InferContext` optional (it won't collect any diagnostics if
`None`) and change all methods on `Type` to take `InferContext` as the
first argument instead of a `db`. I'm interested in your opinion on
this.
Accumulators are definitely harder to use incorrectly because they
remove the need to merge the diagnostics explicitly and there's no risk
that we accidentally merge the diagnostics twice, resulting in
duplicated diagnostics. I still value performance more over making our
life slightly easier.
Closes#14000
## Summary
For typing context bindings we know that they won't be available at
runtime. We shouldn't recommend a fix, that will result in name errors
at runtime.
## Test Plan
`cargo nextest run`
This tweaks the new semantics from #15026 a bit when a symbol could be
interpreted both as an attribute and a submodule of a package. For
`from...import`, we should actually prioritize the attribute, because of
how the statement itself is implemented [1].
> 1. check if the imported module has an attribute by that name
> 2. if not, attempt to import a submodule with that name and then check
the imported module again for that attribute
[1] https://docs.python.org/3/reference/simple_stmts.html#the-import-statement
## Summary
Fixes#14550.
Add `AlwaysTruthy` and `AlwaysFalsy` types, representing the set of objects whose `__bool__` method can only ever return `True` or `False`, respectively, and narrow `if x` and `if not x` accordingly.
## Test Plan
- New Markdown test for truthiness narrowing `narrow/truthiness.md`
- unit tests in `types.rs` and `builders.rs` (`cargo test --package
red_knot_python_semantic --lib -- types`)
## Summary
Fixes https://github.com/astral-sh/ruff/issues/15027
The `MemoryFileSystem::write_file` API automatically creates
non-existing ancestor directoryes
but we failed to update the status of the now created ancestor
directories in the `Files` data structure.
## Test Plan
Tested that the case in https://github.com/astral-sh/ruff/issues/15027
now passes regardless of whether the *Simple* case is commented out or
not
Fixes#15012.
```python
def f():
# panics when the code can't find the loop variable
values = [1, 2, 3]
result = []
for i in values:
result.append(i + 1)
del i
```
I'm not sure exactly why this test case panics, but I suspect the `del
i` removes the binding from the semantic model's symbols.
I changed the code to search for the correct binding by directly
iterating through the bindings. Since we know exactly which binding we
want, this should find the loop variable without any complications.
## Summary
This PR updates the logic when raising conflicting declarations
diagnostic to avoid the undeclared path if present.
The conflicting declaration diagnostics is added when there are two or
more declarations in the control flow path of a definition whose type
isn't equivalent to each other. This can be seen in the following
example:
```py
if flag:
x: int
x = 1 # conflicting-declarations: Unknown, int
```
After this PR, we'd avoid considering "Unknown" as part of the
conflicting declarations. This means we'd still flag it for the
following case:
```py
if flag:
x: int
else:
x: str
x = 1 # conflicting-declarations: int, str
```
A solution that's local to the exception control flow was also explored
which required updating the logic for merging the flow snapshot to avoid
considering declarations using a flag. This is preserved here:
https://github.com/astral-sh/ruff/compare/dhruv/control-flow-no-declarations?expand=1.
The main motivation to avoid that is we don't really understand what the
user experience is w.r.t. the Unknown type and the
conflicting-declaration diagnostics. This makes us unsure on what the
right semantics are as to whether that diagnostics should be raised or
not and when to raise them. For now, we've decided to move forward with
this PR and could decide to adopt another solution or remove the
conflicting-declaration diagnostics in the future.
Closes: #13966
## Test Plan
Update the existing mdtest case. Add an additional case specific to
exception control flow to verify that the diagnostic is not being raised
now.
When importing a nested module, we were correctly creating a binding for
the top-most parent, but we were binding that to the nested module, not
to that parent module. Moreover, we weren't treating those submodules as
members of their containing parents. This PR addresses both issues, so
that nested imports work as expected.
As discussed in ~Slack~ whatever chat app I find myself in these days
😄, this requires keeping track of which modules have been imported
within the current file, so that when we resolve member access on a
module reference, we can see if that member has been imported as a
submodule. If so, we return the submodule reference immediately, instead
of checking whether the parent module's definition defines the symbol.
This is currently done in a flow insensitive manner. The `SemanticIndex`
now tracks all of the modules that are imported (via `import`, not via
`from...import`). The member access logic mentioned above currently only
considers module imports in the file containing the attribute
expression.
---------
Co-authored-by: Carl Meyer <carl@astral.sh>
This PR introduces three changes to `D403`, which has to do with
capitalizing the first word in a docstring.
1. The diagnostic and fix now skip leading whitespace when determining
what counts as "the first word".
2. The name has been changed to `first-word-uncapitalized` from
`first-line-capitalized`, for both clarity and compliance with our rule
naming policy.
3. The diagnostic message and documentation has been modified slightly
to reflect this.
Closes#14890
Fixes#14969.
The issue was that this line:
```rust
let from_assign_to_loop = TextRange::new(binding_stmt.end(), for_stmt.start());
```
was not safe if the binding was after the target. The only way (at least
that I can think of) this can happen is if they are in different scopes,
so it now checks for that before checking if there are usages between
the two.
## Summary
The summary is misleading, as well as the
`whitespace-after-open-bracket` and `whitespace-before-close-bracket`
names - it's not only brackets, but also parentheses and braces. Align
the documentation with the actual behaviour.
Don't change the names, but align the documentation with the behaviour.
## Test Plan
No test (documentation).
## Summary
This change adds `name` and `default` functions to `TypeParam` to access
the corresponding attributes more conveniently. I currently have these
as helper functions in code built on top of ruff_python_ast, and they
seemed like they might be generally useful.
## Test Plan
Ran the checks listed in CONTRIBUTING.md#development.
---------
Co-authored-by: Micha Reiser <micha@reiser.io>
Co-authored-by: Alex Waygood <Alex.Waygood@Gmail.com>
## Summary
A class is an instance of its metaclass, so `ClassLiteral("ABC")` is not
disjoint from `Instance("ABCMeta")`. However, we erroneously consider
the two types disjoint on the `main` branch. This PR fixes that.
This bug was uncovered by adding some more core types to the property
tests that provide coverage for classes that have custom metaclasses.
The additions to the property tests are included in this PR.
## Test Plan
New unit tests and property tests added. Tested with:
- `cargo test -p red_knot_python_semantic`
- `QUICKCHECK_TESTS=100000 cargo test -p red_knot_python_semantic --
--ignored types::property_tests::stable`
The assignability property test fails on this branch, but that's a known
issue that exists on `main`, due to
https://github.com/astral-sh/ruff/issues/14899.
## Summary
Teach red-knot that `type[...]` is always disjoint from `None` and from
`LiteralString`. Fixes#14925.
This should properly be generalized to "all instances of final types
which are not subclasses of `type`", but until we support finality,
hardcoding `None` (which is known to be final) allows us to fix the
subtype transitivity property test.
## Test Plan
Existing tests pass, added new unit tests for `is_disjoint_from` and
`is_subtype_of`.
`QUICKCHECK_TESTS=100000 cargo test -p red_knot_python_semantic --
--ignored types::property_tests::stable` fails only the "assignability
is reflexive" test, which is known to fail on `main` (#14899).
The same command, with `property_tests.rs` edited to prevent generating
intersection tests (the cause of #14899), passes all quickcheck tests.
## Summary
Resolves#14922.
## Test Plan
Markdown tests.
---------
Co-authored-by: Alex Waygood <Alex.Waygood@Gmail.com>
Co-authored-by: Carl Meyer <carl@astral.sh>
## Summary
This is not strictly required yet, but makes these tests future-proof.
They need a `python-version` requirement as they rely on language
features that are not available in 3.9.
## Summary
Many core Airflow features have been deprecated and moved to Airflow
Providers since users might need to install an additional package (e.g.,
`apache-airflow-provider-fab==1.0.0`); a separate rule (AIR303) is
created for this.
As some of the changes only relate to the module/package moved, instead
of listing out all the functions, variables, and classes in a module or
a package, it warns the user to import from the new path instead of the
specific name.
The following is the ones that has been moved to
`apache-airflow-provider-fab==1.0.0`
* module moved
* `airflow.api.auth.backend.basic_auth` →
`airflow.providers.fab.auth_manager.api.auth.backend.basic_auth`
* `airflow.api.auth.backend.kerberos_auth` →
`airflow.providers.fab.auth_manager.api.auth.backend.kerberos_auth`
* `airflow.auth.managers.fab.api.auth.backend.kerberos_auth` →
`airflow.providers.fab.auth_manager.api.auth.backend.kerberos_auth`
* `airflow.auth.managers.fab.security_manager.override` →
`airflow.providers.fab.auth_manager.security_manager.override`
* classes (e.g., functions, classes) moved
* `airflow.www.security.FabAirflowSecurityManagerOverride` →
`airflow.providers.fab.auth_manager.security_manager.override.FabAirflowSecurityManagerOverride`
* `airflow.auth.managers.fab.fab_auth_manager.FabAuthManager` →
`airflow.providers.fab.auth_manager.security_manager.FabAuthManager`
## Test Plan
A test fixture has been included for the rule.
## Summary
Add support for `typing.TYPE_CHECKING` and
`typing_extensions.TYPE_CHECKING`.
relates to: https://github.com/astral-sh/ruff/issues/14170
## Test Plan
New Markdown-based tests
## Summary
This PR extends the mdtest configuration with a `log` setting that can
be any of:
* `true`: Enables tracing
* `false`: Disables tracing (default)
* String: An ENV_FILTER similar to `RED_KNOT_LOG`
```toml
log = true
```
Closes https://github.com/astral-sh/ruff/issues/13865
## Test Plan
I changed a test and tried `log=true`, `log=false`, and `log=INFO`
## Summary
This PR renames the `--custom-typeshed-dir`, `target-version`, and
`--current-directory` cli options to `--typeshed`,
`--python-version`, and `--project` as discussed in the CLI proposal
document.
I added aliases for `--target-version` (for Ruff compat) and
`--custom-typeshed-dir` (for Alex)
## Test Plan
Long help
```
An extremely fast Python type checker.
Usage: red_knot [OPTIONS] [COMMAND]
Commands:
server Start the language server
help Print this message or the help of the given subcommand(s)
Options:
--project <PROJECT>
Run the command within the given project directory.
All `pyproject.toml` files will be discovered by walking up the directory tree from the project root, as will the project's virtual environment (`.venv`).
Other command-line arguments (such as relative paths) will be resolved relative to the current working directory."#,
--venv-path <PATH>
Path to the virtual environment the project uses.
If provided, red-knot will use the `site-packages` directory of this virtual environment to resolve type information for the project's third-party dependencies.
--typeshed-path <PATH>
Custom directory to use for stdlib typeshed stubs
--extra-search-path <PATH>
Additional path to use as a module-resolution source (can be passed multiple times)
--python-version <VERSION>
Python version to assume when resolving types
[possible values: 3.7, 3.8, 3.9, 3.10, 3.11, 3.12, 3.13]
-v, --verbose...
Use verbose output (or `-vv` and `-vvv` for more verbose output)
-W, --watch
Run in watch mode by re-running whenever files change
-h, --help
Print help (see a summary with '-h')
-V, --version
Print version
```
Short help
```
An extremely fast Python type checker.
Usage: red_knot [OPTIONS] [COMMAND]
Commands:
server Start the language server
help Print this message or the help of the given subcommand(s)
Options:
--project <PROJECT> Run the command within the given project directory
--venv-path <PATH> Path to the virtual environment the project uses
--typeshed-path <PATH> Custom directory to use for stdlib typeshed stubs
--extra-search-path <PATH> Additional path to use as a module-resolution source (can be passed multiple times)
--python-version <VERSION> Python version to assume when resolving types [possible values: 3.7, 3.8, 3.9, 3.10, 3.11, 3.12, 3.13]
-v, --verbose... Use verbose output (or `-vv` and `-vvv` for more verbose output)
-W, --watch Run in watch mode by re-running whenever files change
-h, --help Print help (see more with '--help')
-V, --version Print version
```
---------
Co-authored-by: Alex Waygood <Alex.Waygood@Gmail.com>
## Summary
Closes https://github.com/astral-sh/ruff/issues/14892, by adding
`sqlmodel.SQLModel` to the list of classes with default copy semantics.
## Test Plan
Added a test into `RUF012.py` containing the example from the original
issue.
## Summary
Regression test(s) for something that broken while implementing #14759.
We have similar tests for other control flow elements, but feel free to
let me know if this seems superfluous.
## Test Plan
New mdtests
## Summary
`PTH210` renamed to `invalid-pathlib-with-suffix` and extended to check for `.with_suffix(".")`. This caused the fix availability to be downgraded to "Sometimes", since there is no fix offered in this case.
---------
Co-authored-by: Micha Reiser <micha@reiser.io>
Co-authored-by: Dylan <53534755+dylwil3@users.noreply.github.com>
## Summary
Using `typing.LiteralString` breaks as soon as we understand
`sys.version_info` branches, as it's only available in 3.11 and later.
## Test Plan
Made sure it didn't fail on my #14759 branch anymore.
We support using `typing.Type[]` as a base class (and we have tests for
it), but not yet `builtins.type[]`. At some point we should fix that,
but I don't think it';s worth spending much time on now (and it might be
easier once we've implemented generics?). This PR just adds a failing
test with a TODO.
## Summary
Fixes a small scoping issue in `DiagnosticId::matches`
Note: I don't think we should use `lint:id` in mdtests just yet. I worry
that it could lead to many unnecessary churns if we decide **not** to
use `lint:<id>` as the format (e.g., `lint/id`).
The reason why users even see `lint:<rule>` is because the mdtest
framework uses the diagnostic infrastructure
Closes#14910
## Test Plan
Added tests
## Summary
This is the third and last PR in this stack that adds support for
toggling lints at a per-rule level.
This PR introduces a new `LintRegistry`, a central index of known lints.
The registry is required because we want to support lint rules from many
different crates but need a way to look them up by name, e.g., when
resolving a lint from a name in the configuration or analyzing a
suppression comment.
Adding a lint now requires two steps:
1. Declare the lint with `declare_lint`
2. Register the lint in the registry inside the `register_lints`
function.
I considered some more involved macros to avoid changes in two places.
Still, I ultimately decided against it because a) it's just two places
and b) I'd expect that registering a type checker lint will differ from
registering a lint that runs as a rule in the linter. I worry that any
more opinionated design could limit our options when working on the
linter, so I kept it simple.
The second part of this PR is the `RuleSelection`. It stores which lints
are enabled and what severity they should use for created diagnostics.
For now, the `RuleSelection` always gets initialized with all known
lints and it uses their default level.
## Linter crates
Each crate that defines lints should export a `register_lints` function
that accepts a `&mut LintRegistryBuilder` to register all its known
lints in the registry. This should make registering all known lints in a
top-level crate easy: Just call `register_lints` of every crate that
defines lint rules.
I considered defining a `LintCollection` trait and even some fancy
macros to accomplish the same but decided to go for this very simplistic
approach for now. We can add more abstraction once needed.
## Lint rules
This is a bit hand-wavy. I don't have a good sense for how our linter
infrastructure will look like, but I expect we'll need a way to register
the rules that should run as part of the red knot linter. One way is to
keep doing what Ruff does by having one massive `checker` and each lint
rule adds a call to itself in the relevant AST visitor methods. An
alternative is that we have a `LintRule` trait that provides common
hooks and implementations will be called at the "right time". Such a
design would need a way to register all known lint implementations,
possibly with the lint. This is where we'd probably want a dedicated
`register_rule` method. A third option is that lint rules are handled
separately from the `LintRegistry` and are specific to the linter crate.
The current design should be flexible enough to support the three
options.
## Documentation generation
The documentation for all known lints can be generated by creating a
factory, registering all lints by calling the `register_lints` methods,
and then querying the registry for the metadata.
## Deserialization and Schema generation
I haven't fully decided what the best approach is when it comes to
deserializing lint rule names:
* Reject invalid names in the deserializer. This gives us error messages
with line and column numbers (by serde)
* Don't validate lint rule names during deserialization; defer the
validation until the configuration is resolved. This gives us more
control over handling the error, e.g. emit a warning diagnostic instead
of aborting when a rule isn't known.
One technical challenge for both deserialization and schema generation
is that the `Deserialize` and `JSONSchema` traits do not allow passing
the `LintRegistry`, which is required to look up the lints by name. I
suggest that we either rely on the salsa db being set for the current
thread (`salsa::Attach`) or build our own thread-local storage for the
`LintRegistry`. It's the caller's responsibility to make the lint
registry available before calling `Deserialize` or `JSONSchema`.
## CLI support
I prefer deferring adding support for enabling and disabling lints from
the CLI for now because I think it will be easier
to add once I've figured out how to handle configurations.
## Bitset optimization
Ruff tracks the enabled rules using a cheap copyable `Bitset` instead of
a hash map. This helped improve performance by a few percent (see
https://github.com/astral-sh/ruff/pull/3606). However, this approach is
no longer possible because lints have no "cheap" way to compute their
index inside the registry (other than using a hash map).
We could consider doing something similar to Salsa where each
`LintMetadata` stores a `LazyLintIndex`.
```
pub struct LazyLintIndex {
cached: OnceLock<(Nonce, LintIndex)>
}
impl LazyLintIndex {
pub fn get(registry: &LintRegistry, lint: &'static LintMetadata) {
let (nonce, index) = self.cached.get_or_init(|| registry.lint_index(lint));
if registry.nonce() == nonce {
index
} else {
registry.lint_index(lint)
}
}
```
Each registry keeps a map from `LintId` to `LintIndex` where `LintIndex`
is in the range of `0...registry.len()`. The `LazyLintIndex` is based on
the assumption that every program has exactly **one** registry. This
assumption allows to cache the `LintIndex` directly on the
`LintMetadata`. The implementation falls back to the "slow" path if
there is more than one registry at runtime.
I was very close to implementing this optimization because it's kind of
fun to implement. I ultimately decided against it because it adds
complexity and I don't think it's worth doing in Red Knot today:
* Red Knot only queries the rule selection when deciding whether or not
to emit a diagnostic. It is rarely used to detect if a certain code
block should run. This is different from Ruff where the rule selection
is queried many times for every single AST node to determine which rules
*should* run.
* I'm not sure if a 2-3% performance improvement is worth the complexity
I suggest revisiting this decision when working on the linter where a
fast path for deciding if a rule is enabled might be more important (but
that depends on how lint rules are implemented)
## Test Plan
I removed a lint from the default rule registry, and the MD tests
started failing because the diagnostics were no longer emitted.
This PR adds a syntax error if the parser encounters a `TryStmt` that
has except clauses both with and without a star.
The displayed error points to each except clause that contradicts the
original except clause kind. So, for example,
```python
try:
....
except: #<-- we assume this is the desired except kind
....
except*: #<--- error will point here
....
except*: #<--- and here
....
```
Closes#14860
This adds support for `type[Any]`, which represents an unknown type (not
an instance of an unknown type), and `type`, which we are choosing to
interpret as `type[object]`.
Closes#14546
## Summary
This is already several hundred lines of code, and it will get more
complex with call-signature checking.
## Test Plan
This is a pure code move; the moved code wasn't changed, just imports.
Existing tests pass.
## Summary
Add a `is_fully_static` premise to the equivalence on subtyping property tests.
## Test Plan
```
cargo test -p red_knot_python_semantic -- --ignored types::property_tests::stable
```
Without this, `cargo insta test` re-compiles every time it is run, even
if there are no changes. With this, I can re-run `cargo insta test` (or
other `cargo build` commands) without it resulting in re-compiles.
I made an identical change to uv a while back:
https://github.com/astral-sh/uv/pull/6825
## Summary
This is the second PR out of three that adds support for
enabling/disabling lint rules in Red Knot. You may want to take a look
at the [first PR](https://github.com/astral-sh/ruff/pull/14869) in this
stack to familiarize yourself with the used terminology.
This PR adds a new syntax to define a lint:
```rust
declare_lint! {
/// ## What it does
/// Checks for references to names that are not defined.
///
/// ## Why is this bad?
/// Using an undefined variable will raise a `NameError` at runtime.
///
/// ## Example
///
/// ```python
/// print(x) # NameError: name 'x' is not defined
/// ```
pub(crate) static UNRESOLVED_REFERENCE = {
summary: "detects references to names that are not defined",
status: LintStatus::preview("1.0.0"),
default_level: Level::Warn,
}
}
```
A lint has a name and metadata about its status (preview, stable,
removed, deprecated), the default diagnostic level (unless the
configuration changes), and documentation. I use a macro here to derive
the kebab-case name and extract the documentation automatically.
This PR doesn't yet add any mechanism to discover all known lints. This
will be added in the next and last PR in this stack.
## Documentation
I documented some rules but then decided that it's probably not my best
use of time if I document all of them now (it also means that I play
catch-up with all of you forever). That's why I left some rules
undocumented (marked with TODO)
## Where is the best place to define all lints?
I'm not sure. I think what I have in this PR is fine but I also don't
love it because most lints are in a single place but not all of them. If
you have ideas, let me know.
## Why is the message not part of the lint, unlike Ruff's `Violation`
I understand that the main motivation for defining `message` on
`Violation` in Ruff is to remove the need to repeat the same message
over and over again. I'm not sure if this is an actual problem. Most
rules only emit a diagnostic in a single place and they commonly use
different messages if they emit diagnostics in different code paths,
requiring extra fields on the `Violation` struct.
That's why I'm not convinced that there's an actual need for it and
there are alternatives that can reduce the repetition when creating a
diagnostic:
* Create a helper function. We already do this in red knot with the
`add_xy` methods
* Create a custom `Diagnostic` implementation that tailors the entire
diagnostic and pre-codes e.g. the message
Avoiding an extra field on the `Violation` also removes the need to
allocate intermediate strings as it is commonly the place in Ruff.
Instead, Red Knot can use a borrowed string with `format_args`
## Test Plan
`cargo test`
## Summary
This PR introduces a structured `DiagnosticId` instead of using a plain
`&'static str`. It is the first of three in a stack that implements a
basic rules infrastructure for Red Knot.
`DiagnosticId` is an enum over all known diagnostic codes. A closed enum
reduces the risk of accidentally introducing two identical diagnostic
codes. It also opens the possibility of generating reference
documentation from the enum in the future (not part of this PR).
The enum isn't *fully closed* because it uses a `&'static str` for lint
names. This is because we want the flexibility to define lints in
different crates, and all names are only known in `red_knot_linter` or
above. Still, lower-level crates must already reference the lint names
to emit diagnostics. We could define all lint-names in `DiagnosticId`
but I decided against it because:
* We probably want to share the `DiagnosticId` type between Ruff and Red
Knot to avoid extra complexity in the diagnostic crate, and both tools
use different lint names.
* Lints require a lot of extra metadata beyond just the name. That's why
I think defining them close to their implementation is important.
In the long term, we may also want to support plugins, which would make
it impossible to know all lint names at compile time. The next PR in the
stack introduces extra syntax for defining lints.
A closed enum does have a few disadvantages:
* rustc can't help us detect unused diagnostic codes because the enum is
public
* Adding a new diagnostic in the workspace crate now requires changes to
at least two crates: It requires changing the workspace crate to add the
diagnostic and the `ruff_db` crate to define the diagnostic ID. I
consider this an acceptable trade. We may want to move `DiagnosticId` to
its own crate or into a shared `red_knot_diagnostic` crate.
## Preventing duplicate diagnostic identifiers
One goal of this PR is to make it harder to introduce ambiguous
diagnostic IDs, which is achieved by defining a closed enum. However,
the enum isn't fully "closed" because it doesn't explicitly list the IDs
for all lint rules. That leaves the possibility that a lint rule and a
diagnostic ID share the same name.
I made the names unambiguous in this PR by separating them into
different namespaces by using `lint/<rule>` for lint rule codes. I don't
mind the `lint` prefix in a *Ruff next* context, but it is a bit weird
for a standalone type checker. I'd like to not overfocus on this for now
because I see a few different options:
* We remove the `lint` prefix and add a unit test in a top-level crate
that iterates over all known lint rules and diagnostic IDs to ensure the
names are non-overlapping.
* We only render `[lint]` as the error code and add a note to the
diagnostic mentioning the lint rule. This is similar to clippy and has
the advantage that the header line remains short
(`lint/some-long-rule-name` is very long ;))
* Any other form of adjusting the diagnostic rendering to make the
distinction clear
I think we can defer this decision for now because the `DiagnosticId`
contains all the relevant information to change the rendering
accordingly.
## Why `Lint` and not `LintRule`
I see three kinds of diagnostics in Red Knot:
* Non-suppressable: Reveal type, IO errors, configuration errors, etc.
(any `DiagnosticId`)
* Lints: code-related diagnostics that are suppressable.
* Lint rules: The same as lints, but they can be enabled or disabled in
the configuration. The majority of lints in Red Knot and the Ruff
linter.
Our current implementation doesn't distinguish between lints and Lint
rules because we aren't aware of a suppressible code-related lint that
can't be configured in the configuration. The only lint that comes to my
mind is maybe `division-by-zero` if we're 99.99% sure that it is always
right. However, I want to keep the door open to making this distinction
in the future if it proves useful.
Another reason why I chose lint over lint rule (or just rule) is that I
want to leave room for a future lint rule and lint phase concept:
* lint is the *what*: a specific code smell, pattern, or violation
* the lint rule is the *how*: I could see a future `LintRule` trait in
`red_knot_python_linter` that provides the necessary hooks to run as
part of the linter. A lint rule produces diagnostics for exactly one
lint. A lint rule differs from all lints in `red_knot_python_semantic`
because they don't run as "rules" in the Ruff sense. Instead, they're a
side-product of type inference.
* the lint phase is a different form of *how*: A lint phase can produce
many different lints in a single pass. This is a somewhat common pattern
in Ruff where running one analysis collects the necessary information
for finding many different lints
* diagnostic is the *presentation*: Unlike a lint, the diagnostic isn't
the what, but how a specific lint gets presented. I expect that many
lints can use one generic `LintDiagnostic`, but a few lints might need
more flexibility and implement their custom diagnostic rendering (at
least custom `Diagnostic` implementation).
## Test Plan
`cargo test`
## Summary
Add replacement fixes to deprecated arguments of a DAG.
Ref #14582#14626
## Test Plan
Diff was verified and snapshots were updated.
---------
Co-authored-by: Dhruv Manilawala <dhruvmanila@gmail.com>
## Summary
Per suggestion in
https://github.com/astral-sh/ruff/pull/14802#discussion_r1875455417
This is a bit less error-prone and allows us to handle both expressions
in the current scope or a different scope. Also, there's currently no
need for this method outside of `TypeInferenceBuilder`, so no reason to
expose it in `types.rs`.
## Test Plan
Pure refactor, no functional change; existing tests pass.
---------
Co-authored-by: Alex Waygood <Alex.Waygood@Gmail.com>
## Summary
Part 1 of the big change introduced in #14828. This temporarily causes
all fixes for `round(...)` to be considered unsafe, but they will
eventually be enhanced.
## Test Plan
`cargo nextest run` and `cargo insta test`.
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