#390

Committed 24 May 2025 01:03PM UTC coverage: 93.409% (-0.2%) from 93.644%

Build # #390

Build Type

Pull #56

coveralls-python

Committed by

web-flow

Commit Message

Merge branch 'main' into 48

Pull Request Pull Request #56: 48 | Update ArrayElementValidator and IsDataclassValidator

Run Details

67 of 76 new or added lines in 4 files covered. (88.16%)

1 existing line in 1 file now uncovered.

1885 of 2018 relevant lines covered (93.41%)

0.93 hits per line

Source File
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82.0

/flask_inputfilter/validators/is_dataclass_validator.py

from __future__ import annotations

import dataclasses
from typing import Any, Optional, Type, TypeVar, Union, _GenericAlias

from flask_inputfilter.exceptions import ValidationError
from flask_inputfilter.validators import BaseValidator

T = TypeVar("T")


# TODO: Replace with typing.get_origin when Python 3.7 support is dropped.
def get_origin(tp: Any) -> Optional[Type[Any]]:
    """Get the unsubscripted version of a type.

    This supports typing types like List, Dict, etc. and their
    typing_extensions equivalents.
    """
    if isinstance(tp, _GenericAlias):
        return tp.__origin__
    return None


# TODO: Replace with typing.get_args when Python 3.7 support is dropped.
def get_args(tp: Any) -> tuple[Any, ...]:
    """Get type arguments with all substitutions performed.

    For unions, basic types, and special typing forms, returns
    the type arguments. For example, for List[int] returns (int,).
    """
    if isinstance(tp, _GenericAlias):
        return tp.__args__
    return ()


class IsDataclassValidator(BaseValidator):
    """
    Validates that the provided value conforms to a specific dataclass type.

    **Parameters:**

    - **dataclass_type** (*Type[dict]*): The expected dataclass type.
    - **error_message** (*Optional[str]*): Custom error message if
        validation fails.

    **Expected Behavior:**

    Ensures the input is a dictionary and, that all expected keys are present. 
    Raises a ``ValidationError`` if the structure does not match.
    All fields in the dataclass are validated against their types, including 
    nested dataclasses, lists, and dictionaries.

    **Example Usage:**

    .. code-block:: python

        from dataclasses import dataclass

        @dataclass
        class User:
            id: int
            name: str

        class UserInputFilter(InputFilter):
            def __init__(self):
                super().__init__()

                self.add('user', validators=[
                    IsDataclassValidator(dataclass_type=User)
                ])
    """

    __slots__ = ("dataclass_type", "error_message")

    def __init__(
        self,
        dataclass_type: Type[T],
        error_message: Optional[str] = None,
    ) -> None:
        self.dataclass_type = dataclass_type
        self.error_message = error_message

    def validate(self, value: Any) -> None:
        if not isinstance(value, dict):
            raise ValidationError(
                self.error_message
                or "The provided value is not a dict instance."
            )

        if not dataclasses.is_dataclass(self.dataclass_type):
            raise ValidationError(
                self.error_message
                or f"'{self.dataclass_type}' is not a valid dataclass."
            )

        for field in dataclasses.fields(self.dataclass_type):
            field_name = field.name
            field_type = field.type
            has_default = (
                field.default is not dataclasses.MISSING
                or field.default_factory is not dataclasses.MISSING
            )

            if field_name not in value:
                if not has_default:
                    raise ValidationError(
                        self.error_message
                        or f"Missing required field '{field_name}' in value '{value}'."
                    )
                continue

            field_value = value[field_name]

            origin = get_origin(field_type)
            args = get_args(field_type)

            if origin is not None:
                if origin is list:
                    if not isinstance(field_value, list) or not all(
                        isinstance(item, args[0]) for item in field_value
                    ):
                        raise ValidationError(
                            self.error_message
                            or f"Field '{field_name}' in value '{value}' is not a valid list of '{args[0]}'."
                        )
                elif origin is dict:
                    if not isinstance(field_value, dict) or not all(
                        isinstance(k, args[0]) and isinstance(v, args[1])
                        for k, v in field_value.items()
                    ):
                        raise ValidationError(
                            self.error_message
                            or f"Field '{field_name}' in value '{value}' is not a valid dict with keys of type '{args[0]}' and values of type '{args[1]}'."
                        )
                elif origin is Union and type(None) in args:
                    if field_value is not None and not isinstance(
                        field_value, args[0]
                    ):
                        raise ValidationError(
                            self.error_message
                            or f"Field '{field_name}' in value '{value}' is not of type '{args[0]}'."
                        )
                else:
                    raise ValidationError(
                        self.error_message
                        or f"Unsupported type '{field_type}' for field '{field_name}'."
                    )
            elif dataclasses.is_dataclass(field_type):
                IsDataclassValidator(field_type).validate(field_value)
            else:
                if not isinstance(field_value, field_type):
                    raise ValidationError(
                        self.error_message
                        or f"Field '{field_name}' in value '{value}' is not of type '{field_type}'."
                    )

1	from __future__ import annotations	1✔
2
3	import dataclasses	1✔
4	from typing import Any, Optional, Type, TypeVar, Union, _GenericAlias	1✔
5
6	from flask_inputfilter.exceptions import ValidationError	1✔
7	from flask_inputfilter.validators import BaseValidator	1✔
8
9	T = TypeVar("T")	1✔
10
11
12	# TODO: Replace with typing.get_origin when Python 3.7 support is dropped.
13	def get_origin(tp: Any) -> Optional[Type[Any]]:	1✔
14	"""Get the unsubscripted version of a type.
15
16	This supports typing types like List, Dict, etc. and their
17	typing_extensions equivalents.
18	"""
19	if isinstance(tp, _GenericAlias):	1✔
20	return tp.__origin__	1✔
21	return None	1✔
22
23
24	# TODO: Replace with typing.get_args when Python 3.7 support is dropped.
25	def get_args(tp: Any) -> tuple[Any, ...]:	1✔
26	"""Get type arguments with all substitutions performed.
27
28	For unions, basic types, and special typing forms, returns
29	the type arguments. For example, for List[int] returns (int,).
30	"""
31	if isinstance(tp, _GenericAlias):	1✔
32	return tp.__args__	1✔
33	return ()	1✔
34
35
36	class IsDataclassValidator(BaseValidator):	1✔
37	"""
38	Validates that the provided value conforms to a specific dataclass type.
39
40	Parameters:
41
42	- dataclass_type (Type[dict]): The expected dataclass type.
43	- error_message (Optional[str]): Custom error message if
44	validation fails.
45
46	Expected Behavior:
47
48	Ensures the input is a dictionary and, that all expected keys are present.
49	Raises a ``ValidationError`` if the structure does not match.
50	All fields in the dataclass are validated against their types, including
51	nested dataclasses, lists, and dictionaries.
52
53	Example Usage:
54
55	.. code-block:: python
56
57	from dataclasses import dataclass
58
59	@dataclass
60	class User:
61	id: int
62	name: str
63
64	class UserInputFilter(InputFilter):
65	def __init__(self):
66	super().__init__()
67
68	self.add('user', validators=[
69	IsDataclassValidator(dataclass_type=User)
70	])
71	"""
72
73	__slots__ = ("dataclass_type", "error_message")	1✔
74
75	def __init__(	1✔
76	self,
77	dataclass_type: Type[T],
78	error_message: Optional[str] = None,
79	) -> None:
80	self.dataclass_type = dataclass_type	1✔
81	self.error_message = error_message	1✔
82
83	def validate(self, value: Any) -> None:	1✔
84	if not isinstance(value, dict):	1✔
85	raise ValidationError(	1✔
86	self.error_message
87	or "The provided value is not a dict instance."
88	)
89
90	if not dataclasses.is_dataclass(self.dataclass_type):	1✔
UNCOV 91	raise ValidationError(	×
92	self.error_message
93	or f"'{self.dataclass_type}' is not a valid dataclass."
94	)
95
96	for field in dataclasses.fields(self.dataclass_type):	1✔
97	field_name = field.name	1✔
98	field_type = field.type	1✔
99	has_default = (	1✔
100	field.default is not dataclasses.MISSING
101	or field.default_factory is not dataclasses.MISSING
102	)
103
104	if field_name not in value:	1✔
105	if not has_default:	1✔
NEW 106	raise ValidationError(	×
107	self.error_message
108	or f"Missing required field '{field_name}' in value '{value}'."
109	)
NEW 110	continue	×
111
112	field_value = value[field_name]	1✔
113
114	origin = get_origin(field_type)	1✔
115	args = get_args(field_type)	1✔
116
117	if origin is not None:	1✔
118	if origin is list:	1✔
NEW 119	if not isinstance(field_value, list) or not all(	×
120	isinstance(item, args[0]) for item in field_value
121	):
NEW 122	raise ValidationError(	×
123	self.error_message
124	or f"Field '{field_name}' in value '{value}' is not a valid list of '{args[0]}'."
125	)
126	elif origin is dict:	1✔
NEW 127	if not isinstance(field_value, dict) or not all(	×
128	isinstance(k, args[0]) and isinstance(v, args[1])
129	for k, v in field_value.items()
130	):
NEW 131	raise ValidationError(	×
132	self.error_message
133	or f"Field '{field_name}' in value '{value}' is not a valid dict with keys of type '{args[0]}' and values of type '{args[1]}'."
134	)
135	elif origin is Union and type(None) in args:	1✔
136	if field_value is not None and not isinstance(	1✔
137	field_value, args[0]
138	):
NEW 139	raise ValidationError(	×
140	self.error_message
141	or f"Field '{field_name}' in value '{value}' is not of type '{args[0]}'."
142	)
143	else:
NEW 144	raise ValidationError(	×
145	self.error_message
146	or f"Unsupported type '{field_type}' for field '{field_name}'."
147	)
148	elif dataclasses.is_dataclass(field_type):	1✔
149	IsDataclassValidator(field_type).validate(field_value)	1✔
150	else:
151	if not isinstance(field_value, field_type):	1✔
152	raise ValidationError(	1✔
153	self.error_message
154	or f"Field '{field_name}' in value '{value}' is not of type '{field_type}'."
155	)

LeanderCS / flask-inputfilter / #390

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