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+# DEP 0484: Static type checking for Django
+
+|  |  |
+| --- | --- |
+| **DEP:** | 0484 |
+| **Author:** | Maksim Kurnikov |
+| **Implementation team:** | Maksim Kurnikov |
+| **Shepherd:** | Carlton Gibson | 
+| **Type:** | Feature |
+| **Status:** | Draft |
+| **Created:** | 2019-10-08 |
+| **Last modified:** | 2019-10-08 |
+
+## Abstract
+
+Add mypy (and other type checkers) support for Django. 
+
+## Motivation
+
+### Internal use
+
+1. Inline documentation
+    * Lower barrier to entry.
+    * Easier to think about what's going on and edgecases
+
+2. Catching hard-to-find bugs
+    * not all codebase is covered with tests, so `None` related functionality is never tested, because nobody actually thought about it being used that way. 
+
+3. Another testsuite to prevent regressions
+    * accidental changes break other parts of the codebase
+    * easier review, easier to understand what contributor meant to do 
+
+### External use
+
+1. Typechecking of user codebases. 
+
+    * mypy is increasingly popular in proprietary projects.
+
+        * shorten time for new developer to get up to speed with the codebase. 
+        * prevent bugs / regressions, basically another test suite. 
+
+        * add scalability to the codebase
+
+    * third-party apps that use / modify Django internal tools would benefit from typechecking
+
+### IDE support
+
+* go to definition, find usages, refactorings.
+
+Example: 
+
+```python
+class User(models.Model):
+    name = models.CharField()
+
+# other file
+def get_username(user):
+    return user.name
+```
+
+Rename `name` -> `username`. Any IDE will have a hard time understanding that `user` param is a `User` instance. Trivial with type annotation. 
+
+```python
+def get_username(user: User):
+    return user.name  # will be renamed into user.username
+```
+    
+* interactive typechecking of passed params and return values
+
+* support in vscode/emacs/vim (microsoft's python-language-server), PyCharm (internal implementation of the typechecker), pyre, mypy
+
+* inline annotations -> IDE is always up to date with code changes (no `typeshed` syncing)
+
+## Implementation
+
+### Migration path
+
+1. Add `py.typed` file inside the Django top-level module, to mark that it has inline annotations. 
+See https://www.python.org/dev/peps/pep-0561/#packaging-type-information
+
+2. Add `__class_getitem__` implementation to classes which need to support generic parameters. For example, for `QuerySet` class (`QuerySet[MyModel]` annotation)
+https://docs.python.org/3/reference/datamodel.html#emulating-generic-types
+
+    It's just
+
+    ```python
+    def __class_getitem__(cls, *args, **kwargs):
+        return cls
+    ```
+    
+    (some additional parameters checking could be added later)
+
+3. Add `mypy` to CI, like it's done in this PR for DRF
+https://github.com/encode/django-rest-framework/pull/6988 
+
+    Make it pass. It would require some type annotations around the codebase, some cases should be silenced via `# type: ignore`
+    https://mypy.readthedocs.io/en/latest/common_issues.html#spurious-errors-and-locally-silencing-the-checker
+
+4. Merge `django-stubs` annotations into the codebase. This one could be done incrementally, on file-per-file basis. 
+
+5. For complex cases use `.pyi` counterpart (described below). To be able to remain in sync with the codebase, `merge-pyi` tool invocation must be added to the CI.
+https://github.com/google/pytype/tree/master/pytype/tools/merge_pyi
+
+
+### Complementing with `.pyi` stub files for complex cases
+
+There are some cases, for which stores type information inline creates more problems than benefits. 
+
+Django is very dynamic, some functions have more than on relationship between argument types and return value type. For those cases, there's an `@overload` clause available
+https://www.python.org/dev/peps/pep-0484/#function-method-overloading
+
+For these cases, type information should be stored in the separate stub file. 
+https://www.python.org/dev/peps/pep-0484/#stub-files
+
+Examples: 
+
+* `@overload` clauses
+
+    Django is very dynamic, some functions have more than one relationship between argument types and return value type. For those cases, there's an `@overload` clause available
+    https://www.python.org/dev/peps/pep-0484/#function-method-overloading
+
+    Example is `__get__` method of the `Field`. 
+    1. Returns underlying python type when called on instance. 
+    2. Returns `Field` instance when called on class. 
+
+    ```python
+    # _ST - set type
+    # _GT - get type
+    # self: _T -> _T allows mypy to extract type of `self` and return it
+
+    class Field(Generic[_ST, _GT])
+        @overload
+        def __get__(self: _T, instance: None, owner) -> _T: ...
+        # Model instance access
+        @overload
+        def __get__(self, instance: Model, owner) -> _GT: ...
+        # non-Model instances
+        @overload
+        def __get__(self: _T, instance, owner) -> _T: ...
+    ```
+
+* `**kwargs` for `Field` classes
+
+    Mypy (and other typecheckers) doesn't understand `**kwargs`. There are ways to make it work via `TypedDict` and type aliases, but it's hard to read. 
+
+    ```python
+    class CharField(Field):
+        def __init__(self, *args, **kwargs):
+            super().__init__(*args, **kwargs)
+            self.validators.append(validators.MaxLengthValidator(self.max_length))
+    ```
+
+    How it would look like, if it would be inline: 
+
+    ```python
+    class CharField(Field):
+        def __init__(
+            self,
+            verbose_name: Optional[Union[str, bytes]] = ...,
+            name: Optional[str] = ...,
+            primary_key: bool = ...,
+            max_length: Optional[int] = ...,
+            unique: bool = ...,
+            blank: bool = ...,
+            null: bool = ...,
+            db_index: bool = ...,
+            default: Any = ...,
+            editable: bool = ...,
+            auto_created: bool = ...,
+            serialize: bool = ...,
+            unique_for_date: Optional[str] = ...,
+            unique_for_month: Optional[str] = ...,
+            unique_for_year: Optional[str] = ...,
+            choices: Optional[_FieldChoices] = ...,
+            help_text: str = ...,
+            db_column: Optional[str] = ...,
+            db_tablespace: Optional[str] = ...,
+            validators: Iterable[_ValidatorCallable] = ...,
+            error_messages: Optional[_ErrorMessagesToOverride] = ...,
+        ): 
+            super().__init__(*args, **kwargs)
+            self.validators.append(validators.MaxLengthValidator(self.max_length))
+    ```
+
+### Mypy plugin support
+
+Not all Django behavious expressable via type system - Django will have to provide those features via mypy plugin. Most of those are implemented in `django-stubs`, inside `mypy_django_plugin` sub-package. 
+
+Those are features implemented so far in the `mypy_django_plugin`:
+
+1. Fields and managers inference.
+
+    ```python
+    class User(models.Model):
+        name = models.CharField()
+        surname = models.CharField(null=True)
+
+    user = User()
+    user.name  # inferred type: str
+    user.surname  # inferred type: Optional[str]
+
+    # objects is added to every model
+    User.objects.get()  # inferred type: User
+    User.objects.filter(unknown=True)  # will fail with "no such field"
+    User.objects.filter(name=True)  # will fail with "incompatible types 'bool' and 'str'"
+    User.objects.filter(name__iexact=True)  # will fail with "incompatible types 'bool' and 'str'"
+    User.objects.filter(name='hello')  # passes
+    User.objects.filter(name__iexact='hello')  # passes
+    ```
+
+2. Typechecking for `__init__` and `create()`
+    ```python
+    class User(models.Model):
+        name = models.CharField()
+    User(name=1)  # fail
+    User(unknown=1)  # fail
+    User(name='hello')  # pass
+    ```
+    same for `create()` with different `Optional`ity conditions. 
+
+3. RelatedField's support, support for different apps in the RelatedField's `to=` argument
+
+    ```python
+    class User:
+        pass
+    class Profile:
+        user = models.OneToOneField(to=User, related_name='profile')
+
+    Profile().user  # inferred type 'User'
+    User().profile  # inferred type 'Profile'
+    ```
+
+    ```python
+    class CustomProfile:
+        user = models.ForeignKey(to='some_custom_app.User')
+    CustomProfile().user  # will be correctly inferred as 'some_custom_app.models.User'
+    ```
+
+4. Support for unannotated third-party base models, 
+    ```python
+    class User(ThirdPartyModel):
+        pass
+    ```
+    will be recognized as correct model. 
+
+6. settings support
+    ```python
+    from django.conf import settings
+    settings.ALLOWED_HOSTS  # inferred as Sequence[str]
+    ```
+
+7. `get_user_model()` correctly infers current user model class.
+
+
+### Limitations of the plugin
+
+0. `mypy_django_plugin` uses a mix of static and dynamic analysis to support Django features. It basically does `django.setup()` inside to gain access to all the _meta API and `Apps` information. 
+
+    * users needs to be aware of that, and work on preventing side-effects of `django.setup()`, if there's any
+
+    * typechecking of Django app with invalid syntax or semantics will crash the plugin
+
+    Possible solution: reimplement all Django logic of traversing models in apps for the plugin. 
+
+1. Manager inheritance. 
+
+    ```python
+    class BaseUser(models.Model):
+        class Meta:
+            abstract = True
+
+        objects = BaseUserManager()
+
+    class User(BaseUser):
+        objects = UserManager()
+    ```
+    Mypy will flag those `objects` managers as incompatible as they violate Liskov Substitution principle. 
+
+    Possible solution: https://github.com/python/mypy/issues/7468
+
+2. Generic parameters for `Field`
+
+    ```python
+    class User:
+        name = models.CharField()
+        surname = models.CharField(null=True)
+    ```
+
+    `name` and `surname` props are recognized by mypy as generic descriptors. Here's the stub for the `Field`
+
+    ```python
+    class Field(Generic[_ST, _GT]):
+        def __set__(self, instance, value: _ST) -> None: ...
+        # class access
+        @overload
+        def __get__(self: _T, instance: None, owner) -> _T: ...
+        # Model instance access
+        @overload
+        def __get__(self, instance: Model, owner) -> _GT: ...
+        # non-Model instances
+        @overload
+        def __get__(self: _T, instance, owner) -> _T: ...
+
+    class CharField(Field[_ST, _GT]):
+        _pyi_private_set_type: Union[str, int, Combinable]
+        _pyi_private_get_type: str
+    ```
+
+    In the plugin `django-stubs` dynamically marks `name` and `surname` as `CharField[Optional[Union[str, int, Combinable]], Optional[str]]`. We cannot use (as far as I know),  
+
+    ```python
+    class CharField(Field[Union[str, int, Combinable], str]):
+        pass
+    ```
+    because then we won't be able to change generic params for `CharField` dynamically. 
+
+    And it also creates a UX issue, as `Field` has two generic params which makes zero sense semantically. 
+
+    Possible solution: whole bunch of `@overload` statements over `__new__` method. 
+
+3. `BaseManager.from_queryset()`, `QuerySet.as_manager()`
+
+    Not implementable as of now, see 
+    https://github.com/python/mypy/issues/2813
+    https://github.com/python/mypy/issues/7266
+