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Author SHA1 Message Date
Daniil Fajnberg fe5decad4f
🔧 Show more function signature details in documentation 2023-03-13 00:10:37 +01:00
Daniil Fajnberg 712f7fca7b
Overload `dump`/`dumps` methods to increase type safety;
issue a warning, when using the `many` parameter in `__init__`
2023-03-13 00:08:57 +01:00
Daniil Fajnberg 84fa2d2cd9
🚧 Expand generic utility mixin to handle up to 5 type arguments 2023-03-12 18:04:28 +01:00
5 changed files with 331 additions and 32 deletions

View File

@ -30,8 +30,11 @@ plugins:
handlers:
python:
options:
line_length: 80
show_source: false
show_root_toc_entry: false
separate_signature: true
show_signature_annotations: true
import:
- https://marshmallow.readthedocs.io/en/stable/objects.inv

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@ -1,10 +1,28 @@
from typing import Any, Generic, Optional, TypeVar, get_args, get_origin
from typing import (
Any,
Generic,
Literal,
Optional,
TypeVar,
Union,
get_args,
get_origin,
overload,
)
_T = TypeVar("_T")
_T0 = TypeVar("_T0")
_T1 = TypeVar("_T1")
_T2 = TypeVar("_T2")
_T3 = TypeVar("_T3")
_T4 = TypeVar("_T4")
class GenericInsightMixin(Generic[_T]):
_type_arg: Optional[type[_T]] = None
class GenericInsightMixin(Generic[_T0, _T1, _T2, _T3, _T4]):
_type_arg_0: Optional[type[_T0]] = None
_type_arg_1: Optional[type[_T1]] = None
_type_arg_2: Optional[type[_T2]] = None
_type_arg_3: Optional[type[_T3]] = None
_type_arg_4: Optional[type[_T4]] = None
@classmethod
def __init_subclass__(cls, **kwargs: Any) -> None:
@ -14,17 +32,70 @@ class GenericInsightMixin(Generic[_T]):
origin = get_origin(base)
if origin is None or not issubclass(origin, GenericInsightMixin):
continue
type_arg = get_args(base)[0]
# Do not set the attribute for GENERIC subclasses!
if not isinstance(type_arg, TypeVar):
cls._type_arg = type_arg
return
type_args = get_args(base)
for idx, arg in enumerate(type_args):
# Do not set the attribute for generics:
if isinstance(arg, TypeVar):
continue
# Do not set `NoneType`:
if isinstance(arg, type) and isinstance(None, arg):
continue
setattr(cls, f"_type_arg_{idx}", arg)
return
@classmethod
def _get_type_arg(cls) -> type[_T]:
@overload
def _get_type_arg(cls, idx: Literal[0]) -> type[_T0]:
...
@classmethod
@overload
def _get_type_arg(cls, idx: Literal[1]) -> type[_T1]:
...
@classmethod
@overload
def _get_type_arg(cls, idx: Literal[2]) -> type[_T2]:
...
@classmethod
@overload
def _get_type_arg(cls, idx: Literal[3]) -> type[_T3]:
...
@classmethod
@overload
def _get_type_arg(cls, idx: Literal[4]) -> type[_T4]:
...
@classmethod
def _get_type_arg(
cls,
idx: Literal[0, 1, 2, 3, 4],
) -> Union[type[_T0], type[_T1], type[_T2], type[_T3], type[_T4]]:
"""Returns the type argument of the class (if specified)."""
if cls._type_arg is None:
if idx == 0:
type_ = cls._type_arg_0
elif idx == 1:
type_ = cls._type_arg_1
elif idx == 2: # noqa: PLR2004
type_ = cls._type_arg_2
elif idx == 3: # noqa: PLR2004
type_ = cls._type_arg_3
elif idx == 4: # noqa: PLR2004
type_ = cls._type_arg_4
else:
raise ValueError("Only 5 type parameters available")
if type_ is None:
raise AttributeError(
f"{cls.__name__} is generic; type argument unspecified"
f"{cls.__name__} is generic; type argument {idx} unspecified"
)
return cls._type_arg
return type_
class GenericInsightMixin1(GenericInsightMixin[_T0, None, None, None, None]):
pass
class GenericInsightMixin2(GenericInsightMixin[_T0, _T1, None, None, None]):
pass

View File

@ -7,16 +7,17 @@ documentation of [`marshmallow.Schema`][marshmallow.Schema].
from collections.abc import Iterable, Mapping, Sequence
from typing import TYPE_CHECKING, Any, Literal, Optional, TypeVar, Union, overload
from warnings import warn
from marshmallow import Schema
from ._util import GenericInsightMixin
from ._util import GenericInsightMixin1
from .decorators import post_load
Model = TypeVar("Model")
class GenericSchema(GenericInsightMixin[Model], Schema):
class GenericSchema(GenericInsightMixin1[Model], Schema):
"""
Generic schema parameterized by a **`Model`** class.
@ -43,6 +44,79 @@ class GenericSchema(GenericInsightMixin[Model], Schema):
```
"""
def __init__(
self,
*,
only: Union[Sequence[str], set[str], None] = None,
exclude: Union[Sequence[str], set[str]] = (),
context: Union[dict[str, Any], None] = None,
load_only: Union[Sequence[str], set[str]] = (),
dump_only: Union[Sequence[str], set[str]] = (),
partial: Union[bool, Sequence[str], set[str]] = False,
unknown: Optional[str] = None,
many: Optional[bool] = None,
) -> None:
"""
Emits a warning, if the `many` argument is not `None`.
Otherwise the same as in [`marshmallow.Schema`][marshmallow.Schema].
Args:
only:
Whitelist of the declared fields to select when instantiating
the Schema. If `None`, all fields are used. Nested fields can
be represented with dot delimiters.
exclude:
Blacklist of the declared fields to exclude when instantiating
the Schema. If a field appears in both `only` and `exclude`,
it is not used. Nested fields can be represented with dot
delimiters.
context:
Optional context passed to [`Method`]
[marshmallow.fields.Method] and [`Function`]
[marshmallow.fields.Function] fields.
load_only:
Fields to skip during serialization (write-only fields)
dump_only:
Fields to skip during deserialization (read-only fields)
partial:
Whether to ignore missing fields and not require any fields
declared. Propagates down to [`Nested`]
[marshmallow.fields.Nested] fields as well. If its value is an
iterable, only missing fields listed in that iterable will be
ignored. Use dot delimiters to specify nested fields.
unknown:
Whether to exclude, include, or raise an error for unknown
fields in the data. Use `EXCLUDE`, `INCLUDE` or `RAISE`.
many:
!!! warning
Specifying this option schema-wide undermines the type
safety that this class aims to provide and passing any
value other than `None` will trigger a warning. Use the
method-specific `many` parameter, when calling
[`dump`][marshmallow_generic.GenericSchema.dump]/
[`dumps`][marshmallow_generic.GenericSchema.dumps] or
[`load`][marshmallow_generic.GenericSchema.load]/
[`loads`][marshmallow_generic.GenericSchema.loads] instead.
"""
if many is not None:
warn(
"Setting `many` schema-wide breaks type safety. Use the the "
"`many` parameter of specific methods (like `load`) instead."
)
else:
many = bool(many)
super().__init__(
only=only,
exclude=exclude,
many=many,
context=context,
load_only=load_only,
dump_only=dump_only,
partial=partial,
unknown=unknown,
)
@post_load
def instantiate(self, data: dict[str, Any], **_kwargs: Any) -> Model:
"""
@ -52,10 +126,9 @@ class GenericSchema(GenericInsightMixin[Model], Schema):
[marshmallow_generic.decorators.post_load] hook for the schema.
!!! warning
You should probably **not** use this method directly;
no parsing, transformation or validation of any kind is done
in this method. The `data` passed to the **`Model`** constructor
"as is".
You should probably not use this method directly. No parsing,
transformation or validation of any kind is done in this method.
The `data` is passed to the **`Model`** constructor "as is".
Args:
data:
@ -65,10 +138,89 @@ class GenericSchema(GenericInsightMixin[Model], Schema):
Returns:
Instance of the schema's **`Model`** initialized with `**data`
"""
return self._get_type_arg()(**data)
return self._get_type_arg(0)(**data)
if TYPE_CHECKING:
@overload # type: ignore[override]
def dump(
self,
obj: Iterable[Model],
*,
many: Literal[True],
) -> list[dict[str, Any]]:
...
@overload
def dump(
self,
obj: Model,
*,
many: Optional[Literal[False]] = None,
) -> dict[str, Any]:
...
def dump(
self,
obj: Union[Model, Iterable[Model]],
*,
many: Optional[bool] = None,
) -> Union[dict[str, Any], list[dict[str, Any]]]:
"""
Serializes **`Model`** objects to native Python data types.
Same as [`marshmallow.Schema.dump`]
[marshmallow.schema.Schema.dump] at runtime.
Annotations ensure that type checkers will infer the return type
correctly based on the `many` argument, and also enforce the `obj`
argument to be an a `list` of **`Model`** instances, if `many` is
set to `True` or a single instance of it, if `many` is `False`
(or omitted).
Args:
obj:
The object or iterable of objects to serialize
many:
Whether to serialize `obj` as a collection. If `None`, the
value for `self.many` is used.
Returns:
(dict[str, Any]): if `many` is set to `False`
(list[dict[str, Any]]): if `many` is set to `True`
"""
...
@overload # type: ignore[override]
def dumps(
self,
obj: Iterable[Model],
*args: Any,
many: Literal[True],
**kwargs: Any,
) -> str:
...
@overload
def dumps(
self,
obj: Model,
*args: Any,
many: Optional[Literal[False]] = None,
**kwargs: Any,
) -> str:
...
def dumps(
self,
obj: Union[Model, Iterable[Model]],
*args: Any,
many: Optional[bool] = None,
**kwargs: Any,
) -> str:
"""Same as [`dump`][marshmallow_generic.GenericSchema.dump], but returns a JSON-encoded string."""
...
@overload # type: ignore[override]
def load(
self,

View File

@ -12,7 +12,11 @@ class GenericInsightMixinTestCase(TestCase):
mock_super.return_value = MagicMock(__init_subclass__=mock_super_meth)
# Should be `None` by default:
self.assertIsNone(_util.GenericInsightMixin._type_arg) # type: ignore[misc]
self.assertIsNone(_util.GenericInsightMixin._type_arg_0) # type: ignore[misc]
self.assertIsNone(_util.GenericInsightMixin._type_arg_1) # type: ignore[misc]
self.assertIsNone(_util.GenericInsightMixin._type_arg_2) # type: ignore[misc]
self.assertIsNone(_util.GenericInsightMixin._type_arg_3) # type: ignore[misc]
self.assertIsNone(_util.GenericInsightMixin._type_arg_4) # type: ignore[misc]
# If the mixin type argument was not specified (still generic),
# ensure that the attribute remains `None` on the subclass:
@ -24,30 +28,55 @@ class GenericInsightMixinTestCase(TestCase):
class Bar(Generic[t]):
pass
class TestSchema1(Bar[str], _util.GenericInsightMixin[t]):
class TestCls(Bar[str], _util.GenericInsightMixin[t, None, int, str, bool]):
pass
self.assertIsNone(TestSchema1._type_arg) # type: ignore[misc]
self.assertIsNone(TestCls._type_arg_0) # type: ignore[misc]
self.assertIsNone(TestCls._type_arg_1) # type: ignore[misc]
self.assertIs(int, TestCls._type_arg_2) # type: ignore[misc]
self.assertIs(str, TestCls._type_arg_3) # type: ignore[misc]
self.assertIs(bool, TestCls._type_arg_4) # type: ignore[misc]
mock_super.assert_called_once()
mock_super_meth.assert_called_once_with()
mock_super.reset_mock()
mock_super_meth.reset_mock()
# If the mixin type argument was specified,
# ensure it was assigned to the attribute on the child class:
# If the mixin type arguments were omitted,
# ensure the attributes remained `None`:
class TestSchema2(Bar[str], _util.GenericInsightMixin[Foo]):
class UnspecifiedCls(_util.GenericInsightMixin): # type: ignore[type-arg]
pass
self.assertIs(Foo, TestSchema2._type_arg) # type: ignore[misc]
self.assertIsNone(UnspecifiedCls._type_arg_0) # type: ignore[misc]
self.assertIsNone(UnspecifiedCls._type_arg_1) # type: ignore[misc]
self.assertIsNone(UnspecifiedCls._type_arg_2) # type: ignore[misc]
self.assertIsNone(UnspecifiedCls._type_arg_3) # type: ignore[misc]
self.assertIsNone(UnspecifiedCls._type_arg_4) # type: ignore[misc]
mock_super.assert_called_once()
mock_super_meth.assert_called_once_with()
def test__get_type_arg(self) -> None:
with self.assertRaises(AttributeError):
_util.GenericInsightMixin._get_type_arg()
_util.GenericInsightMixin._get_type_arg(0)
_type = object()
with patch.object(_util.GenericInsightMixin, "_type_arg", new=_type):
self.assertIs(_type, _util.GenericInsightMixin._get_type_arg())
_type_0 = object()
_type_1 = object()
_type_2 = object()
_type_3 = object()
_type_4 = object()
with patch.multiple(
_util.GenericInsightMixin,
_type_arg_0=_type_0,
_type_arg_1=_type_1,
_type_arg_2=_type_2,
_type_arg_3=_type_3,
_type_arg_4=_type_4,
):
self.assertIs(_type_0, _util.GenericInsightMixin._get_type_arg(0))
self.assertIs(_type_1, _util.GenericInsightMixin._get_type_arg(1))
self.assertIs(_type_2, _util.GenericInsightMixin._get_type_arg(2))
self.assertIs(_type_3, _util.GenericInsightMixin._get_type_arg(3))
self.assertIs(_type_4, _util.GenericInsightMixin._get_type_arg(4))
with self.assertRaises(ValueError):
_util.GenericInsightMixin._get_type_arg(5) # type: ignore[call-overload]

View File

@ -1,3 +1,4 @@
from typing import Any
from unittest import TestCase
from unittest.mock import MagicMock, patch
@ -5,6 +6,29 @@ from marshmallow_generic import _util, schema
class GenericSchemaTestCase(TestCase):
@patch("marshmallow.schema.Schema.__init__")
def test___init__(self, mock_super_init: MagicMock) -> None:
class Foo:
pass
kwargs: dict[str, Any] = {
"only": object(),
"exclude": object(),
"context": object(),
"load_only": object(),
"dump_only": object(),
"partial": object(),
"unknown": object(),
"many": None,
}
schema.GenericSchema[Foo](**kwargs)
mock_super_init.assert_called_once_with(**kwargs | {"many": False})
mock_super_init.reset_mock()
kwargs["many"] = True
with self.assertWarns(UserWarning):
schema.GenericSchema[Foo](**kwargs)
mock_super_init.assert_called_once_with(**kwargs)
@patch.object(_util.GenericInsightMixin, "_get_type_arg")
def test_instantiate(self, mock__get_type_arg: MagicMock) -> None:
mock__get_type_arg.return_value = mock_cls = MagicMock()
@ -17,9 +41,29 @@ class GenericSchemaTestCase(TestCase):
# Explicit annotation to possibly catch mypy errors:
output: Foo = schema_obj.instantiate(mock_data)
self.assertIs(mock_cls.return_value, output)
mock__get_type_arg.assert_called_once_with()
mock__get_type_arg.assert_called_once_with(0)
mock_cls.assert_called_once_with(**mock_data)
def test_dump_and_dumps(self) -> None:
"""Mainly for static type checking purposes."""
class Foo:
pass
class TestSchema(schema.GenericSchema[Foo]):
pass
foo = Foo()
single: dict[str, Any] = TestSchema().dump(foo)
self.assertDictEqual({}, single)
json_string: str = TestSchema().dumps(foo)
self.assertEqual("{}", json_string)
multiple: list[dict[str, Any]] = TestSchema().dump([foo], many=True)
self.assertListEqual([{}], multiple)
json_string = TestSchema().dumps([foo], many=True)
self.assertEqual("[{}]", json_string)
def test_load_and_loads(self) -> None:
"""Mainly for static type checking purposes."""