Commit Graph

7 Commits

Author SHA1 Message Date
Jack O'Connor 0631e72187
[ty] support generic aliases in `type[...]`, like `type[C[int]]` (#21552)
Closes https://github.com/astral-sh/ty/issues/1101.
2025-11-24 13:56:42 -08:00
Jack O'Connor eb7c098d6b
[ty] implement `TypedDict` structural assignment (#21467)
Closes https://github.com/astral-sh/ty/issues/1387.
2025-11-20 13:15:28 -08:00
Alex Waygood f054b8a55e
[ty] Improve assignability/subtyping between two protocol types (#20368) 2025-10-08 18:37:30 +00:00
Alex Waygood b9c84add07
[ty] Disambiguate classes that live in different modules but have the same fully qualified names (#20756)
## Summary

Even disambiguating classes using their fully qualified names is not
enough for some diagnostics. We've seen real-world examples in the
ecosystem (and https://github.com/astral-sh/ruff/pull/20368 introduces
some more!) where two types can be different, but can still have the
same fully qualified name. In these cases, our disambiguation machinery
needs to print the file path and line number of the class in order to
disambiguate classes with similar names in our diagnostics.

Helps with https://github.com/astral-sh/ty/issues/1306

## Test Plan

Mdtests
2025-10-08 18:27:40 +01:00
Alex Waygood 1cf19732b9
[ty] Use fully qualified names to distinguish ambiguous protocols in diagnostics (#20627) 2025-09-29 12:02:07 +00:00
Alex Waygood 3f640dacd4
[ty] Improve disambiguation of class names in diagnostics (#20603) 2025-09-29 11:43:11 +01:00
Leandro Braga d75ef3823c
[ty] print diagnostics with fully qualified name to disambiguate some cases (#19850)
There are some situations that we have a confusing diagnostics due to
identical class names.

## Class with same name from different modules

```python
import pandas
import polars

df: pandas.DataFrame = polars.DataFrame()
```

This yields the following error:

**Actual:**
error: [invalid-assignment] "Object of type `DataFrame` is not
assignable to `DataFrame`"
**Expected**:
error: [invalid-assignment] "Object of type `polars.DataFrame` is not
assignable to `pandas.DataFrame`"

## Nested classes

```python
from enum import Enum

class A:
    class B(Enum):
        ACTIVE = "active"
        INACTIVE = "inactive"

class C:
    class B(Enum):
        ACTIVE = "active"
        INACTIVE = "inactive"
```

**Actual**:
error: [invalid-assignment] "Object of type `Literal[B.ACTIVE]` is not
assignable to `B`"
**Expected**:
error: [invalid-assignment] "Object of type
`Literal[my_module.C.B.ACTIVE]` is not assignable to `my_module.A.B`"

## Solution

In this MR we added an heuristics to detect when to use a fully
qualified name:
- There is an invalid assignment and;
- They are two different classes and;
- They have the same name

The fully qualified name always includes:
- module name
- nested classes name
- actual class name

There was no `QualifiedDisplay` so I had to implement it from scratch.
I'm very new to the codebase, so I might have done things inefficiently,
so I appreciate feedback.

Should we pre-compute the fully qualified name or do it on demand? 

## Not implemented

### Function-local classes

Should we approach this in a different PR?

**Example**:
```python 
# t.py
from __future__ import annotations


def function() -> A:
    class A:
        pass

    return A()


class A:
    pass


a: A = function()
```

#### mypy

```console
t.py:8: error: Incompatible return value type (got "t.A@5", expected "t.A")  [return-value]
```

From my testing the 5 in `A@5` comes from the like number. 

#### ty

```console
error[invalid-return-type]: Return type does not match returned value
 --> t.py:4:19
  |
4 | def function() -> A:
  |                   - Expected `A` because of return type
5 |     class A:
6 |         pass
7 |
8 |     return A()
  |            ^^^ expected `A`, found `A`
  |
info: rule `invalid-return-type` is enabled by default
```

Fixes https://github.com/astral-sh/ty/issues/848

---------

Co-authored-by: Alex Waygood <Alex.Waygood@Gmail.com>
Co-authored-by: Carl Meyer <carl@astral.sh>
2025-08-27 20:46:07 +00:00