generated from daniil-berg/boilerplate-py
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fe5decad4f
Author | SHA1 | Date | |
---|---|---|---|
fe5decad4f | |||
712f7fca7b | |||
84fa2d2cd9 |
@ -30,8 +30,11 @@ plugins:
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handlers:
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python:
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options:
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line_length: 80
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show_source: false
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show_root_toc_entry: false
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separate_signature: true
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show_signature_annotations: true
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import:
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- https://marshmallow.readthedocs.io/en/stable/objects.inv
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|
@ -1,10 +1,28 @@
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from typing import Any, Generic, Optional, TypeVar, get_args, get_origin
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from typing import (
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Any,
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Generic,
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Literal,
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Optional,
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TypeVar,
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Union,
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get_args,
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get_origin,
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overload,
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)
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_T = TypeVar("_T")
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_T0 = TypeVar("_T0")
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_T1 = TypeVar("_T1")
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_T2 = TypeVar("_T2")
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_T3 = TypeVar("_T3")
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_T4 = TypeVar("_T4")
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class GenericInsightMixin(Generic[_T]):
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_type_arg: Optional[type[_T]] = None
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class GenericInsightMixin(Generic[_T0, _T1, _T2, _T3, _T4]):
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_type_arg_0: Optional[type[_T0]] = None
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_type_arg_1: Optional[type[_T1]] = None
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_type_arg_2: Optional[type[_T2]] = None
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_type_arg_3: Optional[type[_T3]] = None
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_type_arg_4: Optional[type[_T4]] = None
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@classmethod
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def __init_subclass__(cls, **kwargs: Any) -> None:
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@ -14,17 +32,70 @@ class GenericInsightMixin(Generic[_T]):
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origin = get_origin(base)
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if origin is None or not issubclass(origin, GenericInsightMixin):
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continue
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type_arg = get_args(base)[0]
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# Do not set the attribute for GENERIC subclasses!
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if not isinstance(type_arg, TypeVar):
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cls._type_arg = type_arg
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return
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type_args = get_args(base)
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for idx, arg in enumerate(type_args):
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# Do not set the attribute for generics:
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if isinstance(arg, TypeVar):
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continue
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# Do not set `NoneType`:
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if isinstance(arg, type) and isinstance(None, arg):
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continue
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setattr(cls, f"_type_arg_{idx}", arg)
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return
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@classmethod
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def _get_type_arg(cls) -> type[_T]:
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@overload
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def _get_type_arg(cls, idx: Literal[0]) -> type[_T0]:
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...
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@classmethod
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@overload
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def _get_type_arg(cls, idx: Literal[1]) -> type[_T1]:
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...
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@classmethod
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@overload
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def _get_type_arg(cls, idx: Literal[2]) -> type[_T2]:
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...
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@classmethod
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@overload
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def _get_type_arg(cls, idx: Literal[3]) -> type[_T3]:
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...
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@classmethod
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@overload
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def _get_type_arg(cls, idx: Literal[4]) -> type[_T4]:
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...
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@classmethod
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def _get_type_arg(
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cls,
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idx: Literal[0, 1, 2, 3, 4],
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) -> Union[type[_T0], type[_T1], type[_T2], type[_T3], type[_T4]]:
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"""Returns the type argument of the class (if specified)."""
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if cls._type_arg is None:
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if idx == 0:
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type_ = cls._type_arg_0
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elif idx == 1:
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type_ = cls._type_arg_1
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elif idx == 2: # noqa: PLR2004
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type_ = cls._type_arg_2
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elif idx == 3: # noqa: PLR2004
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type_ = cls._type_arg_3
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elif idx == 4: # noqa: PLR2004
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type_ = cls._type_arg_4
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else:
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raise ValueError("Only 5 type parameters available")
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if type_ is None:
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raise AttributeError(
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f"{cls.__name__} is generic; type argument unspecified"
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f"{cls.__name__} is generic; type argument {idx} unspecified"
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)
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return cls._type_arg
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return type_
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class GenericInsightMixin1(GenericInsightMixin[_T0, None, None, None, None]):
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pass
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class GenericInsightMixin2(GenericInsightMixin[_T0, _T1, None, None, None]):
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pass
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|
@ -7,16 +7,17 @@ documentation of [`marshmallow.Schema`][marshmallow.Schema].
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from collections.abc import Iterable, Mapping, Sequence
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from typing import TYPE_CHECKING, Any, Literal, Optional, TypeVar, Union, overload
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from warnings import warn
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from marshmallow import Schema
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from ._util import GenericInsightMixin
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from ._util import GenericInsightMixin1
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from .decorators import post_load
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Model = TypeVar("Model")
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class GenericSchema(GenericInsightMixin[Model], Schema):
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class GenericSchema(GenericInsightMixin1[Model], Schema):
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"""
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Generic schema parameterized by a **`Model`** class.
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@ -43,6 +44,79 @@ class GenericSchema(GenericInsightMixin[Model], Schema):
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```
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"""
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def __init__(
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self,
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*,
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only: Union[Sequence[str], set[str], None] = None,
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exclude: Union[Sequence[str], set[str]] = (),
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context: Union[dict[str, Any], None] = None,
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load_only: Union[Sequence[str], set[str]] = (),
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dump_only: Union[Sequence[str], set[str]] = (),
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partial: Union[bool, Sequence[str], set[str]] = False,
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unknown: Optional[str] = None,
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many: Optional[bool] = None,
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) -> None:
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"""
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Emits a warning, if the `many` argument is not `None`.
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Otherwise the same as in [`marshmallow.Schema`][marshmallow.Schema].
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Args:
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only:
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Whitelist of the declared fields to select when instantiating
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the Schema. If `None`, all fields are used. Nested fields can
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be represented with dot delimiters.
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exclude:
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Blacklist of the declared fields to exclude when instantiating
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the Schema. If a field appears in both `only` and `exclude`,
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it is not used. Nested fields can be represented with dot
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delimiters.
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context:
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Optional context passed to [`Method`]
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[marshmallow.fields.Method] and [`Function`]
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[marshmallow.fields.Function] fields.
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load_only:
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Fields to skip during serialization (write-only fields)
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dump_only:
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Fields to skip during deserialization (read-only fields)
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partial:
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Whether to ignore missing fields and not require any fields
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declared. Propagates down to [`Nested`]
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[marshmallow.fields.Nested] fields as well. If its value is an
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iterable, only missing fields listed in that iterable will be
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ignored. Use dot delimiters to specify nested fields.
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unknown:
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Whether to exclude, include, or raise an error for unknown
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fields in the data. Use `EXCLUDE`, `INCLUDE` or `RAISE`.
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many:
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!!! warning
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Specifying this option schema-wide undermines the type
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safety that this class aims to provide and passing any
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value other than `None` will trigger a warning. Use the
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method-specific `many` parameter, when calling
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[`dump`][marshmallow_generic.GenericSchema.dump]/
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[`dumps`][marshmallow_generic.GenericSchema.dumps] or
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[`load`][marshmallow_generic.GenericSchema.load]/
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[`loads`][marshmallow_generic.GenericSchema.loads] instead.
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"""
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if many is not None:
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warn(
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"Setting `many` schema-wide breaks type safety. Use the the "
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"`many` parameter of specific methods (like `load`) instead."
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)
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else:
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many = bool(many)
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super().__init__(
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only=only,
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exclude=exclude,
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many=many,
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context=context,
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load_only=load_only,
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dump_only=dump_only,
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partial=partial,
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unknown=unknown,
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)
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@post_load
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def instantiate(self, data: dict[str, Any], **_kwargs: Any) -> Model:
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"""
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@ -52,10 +126,9 @@ class GenericSchema(GenericInsightMixin[Model], Schema):
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[marshmallow_generic.decorators.post_load] hook for the schema.
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!!! warning
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You should probably **not** use this method directly;
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no parsing, transformation or validation of any kind is done
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in this method. The `data` passed to the **`Model`** constructor
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"as is".
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You should probably not use this method directly. No parsing,
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transformation or validation of any kind is done in this method.
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The `data` is passed to the **`Model`** constructor "as is".
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Args:
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data:
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@ -65,10 +138,89 @@ class GenericSchema(GenericInsightMixin[Model], Schema):
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Returns:
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Instance of the schema's **`Model`** initialized with `**data`
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"""
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return self._get_type_arg()(**data)
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return self._get_type_arg(0)(**data)
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if TYPE_CHECKING:
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@overload # type: ignore[override]
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def dump(
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self,
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obj: Iterable[Model],
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*,
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many: Literal[True],
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) -> list[dict[str, Any]]:
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...
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@overload
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def dump(
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self,
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obj: Model,
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*,
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many: Optional[Literal[False]] = None,
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) -> dict[str, Any]:
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...
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def dump(
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self,
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obj: Union[Model, Iterable[Model]],
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*,
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many: Optional[bool] = None,
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) -> Union[dict[str, Any], list[dict[str, Any]]]:
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"""
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Serializes **`Model`** objects to native Python data types.
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Same as [`marshmallow.Schema.dump`]
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[marshmallow.schema.Schema.dump] at runtime.
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Annotations ensure that type checkers will infer the return type
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correctly based on the `many` argument, and also enforce the `obj`
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argument to be an a `list` of **`Model`** instances, if `many` is
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set to `True` or a single instance of it, if `many` is `False`
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(or omitted).
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Args:
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obj:
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The object or iterable of objects to serialize
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many:
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Whether to serialize `obj` as a collection. If `None`, the
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value for `self.many` is used.
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Returns:
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(dict[str, Any]): if `many` is set to `False`
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(list[dict[str, Any]]): if `many` is set to `True`
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"""
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...
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@overload # type: ignore[override]
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def dumps(
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self,
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obj: Iterable[Model],
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*args: Any,
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many: Literal[True],
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**kwargs: Any,
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||||
) -> str:
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...
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@overload
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def dumps(
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self,
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obj: Model,
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*args: Any,
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many: Optional[Literal[False]] = None,
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**kwargs: Any,
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||||
) -> str:
|
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...
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|
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def dumps(
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self,
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obj: Union[Model, Iterable[Model]],
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*args: Any,
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many: Optional[bool] = None,
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**kwargs: Any,
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) -> str:
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"""Same as [`dump`][marshmallow_generic.GenericSchema.dump], but returns a JSON-encoded string."""
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...
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@overload # type: ignore[override]
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def load(
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self,
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|
@ -12,7 +12,11 @@ class GenericInsightMixinTestCase(TestCase):
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mock_super.return_value = MagicMock(__init_subclass__=mock_super_meth)
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# Should be `None` by default:
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self.assertIsNone(_util.GenericInsightMixin._type_arg) # type: ignore[misc]
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self.assertIsNone(_util.GenericInsightMixin._type_arg_0) # type: ignore[misc]
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self.assertIsNone(_util.GenericInsightMixin._type_arg_1) # type: ignore[misc]
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self.assertIsNone(_util.GenericInsightMixin._type_arg_2) # type: ignore[misc]
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self.assertIsNone(_util.GenericInsightMixin._type_arg_3) # type: ignore[misc]
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self.assertIsNone(_util.GenericInsightMixin._type_arg_4) # type: ignore[misc]
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||||
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# If the mixin type argument was not specified (still generic),
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# ensure that the attribute remains `None` on the subclass:
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@ -24,30 +28,55 @@ class GenericInsightMixinTestCase(TestCase):
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class Bar(Generic[t]):
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pass
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class TestSchema1(Bar[str], _util.GenericInsightMixin[t]):
|
||||
class TestCls(Bar[str], _util.GenericInsightMixin[t, None, int, str, bool]):
|
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pass
|
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self.assertIsNone(TestSchema1._type_arg) # type: ignore[misc]
|
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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()
|
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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]):
|
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class UnspecifiedCls(_util.GenericInsightMixin): # type: ignore[type-arg]
|
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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]
|
||||
|
@ -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."""
|
||||
|
||||
|
Loading…
Reference in New Issue
Block a user