pincer.utils.api_object.HTTPMeta.__new__() - Code Metrics - Inspection of "main" - Pincer-org/Pincer - Measure and Improve Code Quality continuously with Scrutinizer

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created 2021-10-25 18:04 UTC

pincer.utils.api_object.HTTPMeta.new() A

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Total Lines	9
Code Lines	7

Duplication

Lines	0
Ratio	0 %

Importance

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Metric	Value
eloc	7
dl	0
loc	9
rs	10
c	0
b	0
f	0
cc	3
nop	3

# Copyright Pincer 2021-Present
# Full MIT License can be found in `LICENSE` at the project root.

from __future__ import annotations

import copy
import logging
from dataclasses import dataclass, fields, _is_dataclass_instance
from enum import Enum, EnumMeta
from inspect import getfullargspec
from sys import modules
from typing import (
    Dict, Tuple, Union, Generic, TypeVar, Any, TYPE_CHECKING,
    List, get_type_hints, get_origin, get_args
)

from .conversion import convert
from .types import MissingType, Singleton, MISSING
from ..exceptions import InvalidAnnotation

if TYPE_CHECKING:
    from ..client import Client
    from ..core.http import HTTPClient

T = TypeVar("T")

_log = logging.getLogger(__package__)


def _asdict_ignore_none(obj: Generic[T]) -> Union[Tuple, Dict, T]:
    """
    Returns a dict from a dataclass that ignores
    all values that are None
    Modification of _asdict_inner from dataclasses

    :param obj:
        Dataclass obj
    """

    if _is_dataclass_instance(obj):
        result = []
        for f in fields(obj):
            value = _asdict_ignore_none(getattr(obj, f.name))

            if isinstance(value, Enum):
                result.append((f.name, value.value))
            # This if statement was added to the function
            elif not isinstance(value, MissingType):
                result.append((f.name, value))

        return dict(result)

    elif isinstance(obj, tuple) and hasattr(obj, '_fields'):
        return type(obj)(*[_asdict_ignore_none(v) for v in obj])

    elif isinstance(obj, (list, tuple)):
        return type(obj)(_asdict_ignore_none(v) for v in obj)

    elif isinstance(obj, dict):
        return type(obj)(
            (
                _asdict_ignore_none(k),
                _asdict_ignore_none(v)
            ) for k, v in obj.items()
        )
    else:
        return copy.deepcopy(obj)


class HTTPMeta(type):
    __meta_items: List[str] = ["_client", "_http"]
    __ori_annotations: Dict[str, type] = {}

    def __new__(mcs, name, base, mapping):
        # Iterates through the meta items, these are keys whom should
        # be added to every object. But to keep typehints we have to
        # define those in the parent class. Yet this gives a conflict
        # because the value is not defined. (thats why we remove it)
        for key in HTTPMeta.__meta_items:
            if mapping.get("__annotations__") and \
                    (value := mapping["__annotations__"].get(key)):

                # We want to keep the type annotations of the objects
                # tho, so lets statically store them so we can readd
                # them later.
                HTTPMeta.__ori_annotations.update({key: value})
                del mapping["__annotations__"][key]

        # Instanciate our object
        http_object = super().__new__(mcs, name, base, mapping)

        # Readd all removed items
        if getattr(http_object, "__annotations__", None):
            for k, v in HTTPMeta.__ori_annotations.items():
                http_object.__annotations__[k] = v
                setattr(http_object, k, None)

        return http_object


class TypeCache(metaclass=Singleton):
    cache = {}

    def __init__(self):
        # Register all known types to the cache. This gets used later
        # to auto-convert the properties to their desired type.
        lcp = modules.copy()
        for module in lcp:
            if not module.startswith("pincer"):
                continue

            TypeCache.cache.update(lcp[module].__dict__)


@dataclass
class APIObject(metaclass=HTTPMeta):
    """
    Represents an object which has been fetched from the Discord API.
    """
    _client: Client
    _http: HTTPClient

    def __get_types(self, attr: str, arg_type: type) -> Tuple[type]:
        """Get the types from type annotations.

        Parameters
        ----------
        attr: :class:`str`
            The attribute the typehint belongs to.
        arg_type: :class:`type`
            The type annotation for the attribute.

        Returns
        -------
        Tuple[:class:`type`]
            A collection of type annotation(s). Will most of the times
            consist of 1 item.

        Raises
        ------
        :class:`~pincer.exceptions.InvalidAnnotation`
            Exception which is raised when the type annotation has not enough
            or too many arguments for the parser to handle.
        """
        origin = get_origin(arg_type)

        if origin is Union:
            # Ahh yes, typing module has no type annotations for this...
            # noinspection PyTypeChecker
            args: Tuple[type] = get_args(arg_type)

            if 2 <= len(args) < 4:
                return args

            raise InvalidAnnotation(
                f"Attribute `{attr}` in `{type(self).__name__}` has too many "
                f"or not enough arguments! (got {len(args)} expected 2-3)"
            )

        return arg_type,

    def __attr_convert(self, attr: str, attr_type: T) -> T:
        """Convert an attribute to the requested attribute type using
        the factory or the __init__.

        Parameters
        ----------
        attr: :class:`str`
            The attribute the typehint belongs to.
        arg_type: T
            The type annotation for the attribute.

        Returns
        -------
        T
            The instanciated version of the arg_type.
        """
        factory = attr_type

        # Always use `__factory__` over __init__
        if getattr(attr_type, "__factory__", None):
            factory = attr_type.__factory__

        return convert(
            getattr(self, attr),
            factory,
            attr_type,
            self._client
        )

    def __post_init__(self):
        TypeCache()

        # Get all type annotations for the attributes.
        attributes = get_type_hints(self, globalns=TypeCache.cache).items()

        for attr, attr_type in attributes:
            # Ignore private attributes.
            if attr.startswith('_'):
                continue

            types = self.__get_types(attr, attr_type)

            types = tuple(filter(
                lambda tpe: tpe is not None and tpe is not MISSING,
                types
            ))

            if not types:
                raise InvalidAnnotation(
                    f"Attribute `{attr}` in `{type(self).__name__}` only "
                    "consisted of missing/optional type!"
                )

            specific_tp = types[0]

            if tp := get_origin(specific_tp):
                specific_tp = tp

            if isinstance(specific_tp, EnumMeta) and not getattr(self, attr):
                attr_value = MISSING
            else:
                attr_value = self.__attr_convert(attr, specific_tp)

            setattr(self, attr, attr_value)

    # Set default factory method to from_dict for APIObject's.
    @classmethod
    def __factory__(cls: Generic[T], *args, **kwargs) -> T:
        return cls.from_dict(*args, **kwargs)

    def __str__(self):
        if self.__dict__.get('name'):
            return self.name

        return super().__str__()

    @classmethod
    def from_dict(
            cls: Generic[T],
            data: Dict[str, Union[str, bool, int, Any]]
    ) -> T:
        """
        Parse an API object from a dictionary.
        """
        if isinstance(data, cls):
            return data

        # Disable inspection for IDE because this is valid code for the
        # inherited classes:
        # noinspection PyArgumentList
        return cls(**dict(map(
            lambda key: (
                key,
                data[key].value if isinstance(data[key], Enum) else data[key]
            ),
            filter(
                lambda object_argument: data.get(object_argument) is not None,
                getfullargspec(cls.__init__).args
            )
        )))

    def to_dict(self) -> Dict:
        """
        Transform the current object to a dictionary representation.
        """
        return _asdict_ignore_none(self)


1			# Copyright Pincer 2021-Present
2			# Full MIT License can be found in `LICENSE` at the project root.
3
4			from __future__ import annotations
5
6			import copy
7			import logging
8			from dataclasses import dataclass, fields, _is_dataclass_instance
9			from enum import Enum, EnumMeta
10			from inspect import getfullargspec
11			from sys import modules
12			from typing import (
13			Dict, Tuple, Union, Generic, TypeVar, Any, TYPE_CHECKING,
14			List, get_type_hints, get_origin, get_args
15			)
16
17			from .conversion import convert
18			from .types import MissingType, Singleton, MISSING
19			from ..exceptions import InvalidAnnotation
20
21			if TYPE_CHECKING:
22			from ..client import Client
23			from ..core.http import HTTPClient
24
25			T = TypeVar("T")
26
27			_log = logging.getLogger(__package__)
28
29
30			def _asdict_ignore_none(obj: Generic[T]) -> Union[Tuple, Dict, T]:
31			"""
32			Returns a dict from a dataclass that ignores
33			all values that are None
34			Modification of _asdict_inner from dataclasses
35
36			:param obj:
37			Dataclass obj
38			"""
39
40			if _is_dataclass_instance(obj):
41			result = []
42			for f in fields(obj):
43			value = _asdict_ignore_none(getattr(obj, f.name))
44
45			if isinstance(value, Enum):
46			result.append((f.name, value.value))
47			# This if statement was added to the function
48			elif not isinstance(value, MissingType):
49			result.append((f.name, value))
50
51			return dict(result)
52
53			elif isinstance(obj, tuple) and hasattr(obj, '_fields'):
54			return type(obj)(*[_asdict_ignore_none(v) for v in obj])
55
56			elif isinstance(obj, (list, tuple)):
57			return type(obj)(_asdict_ignore_none(v) for v in obj)
58
59			elif isinstance(obj, dict):
60			return type(obj)(
61			(
62			_asdict_ignore_none(k),
63			_asdict_ignore_none(v)
64			) for k, v in obj.items()
65			)
66			else:
67			return copy.deepcopy(obj)
68
69
70			class HTTPMeta(type):
71			__meta_items: List[str] = ["_client", "_http"]
72			__ori_annotations: Dict[str, type] = {}
73
74			def __new__(mcs, name, base, mapping):
75			# Iterates through the meta items, these are keys whom should
76			# be added to every object. But to keep typehints we have to
77			# define those in the parent class. Yet this gives a conflict
78			# because the value is not defined. (thats why we remove it)
79			for key in HTTPMeta.__meta_items:
80			if mapping.get("__annotations__") and \
81			(value := mapping["__annotations__"].get(key)):
			0 ignored issues – show introduced 2021-10-25 15:45 UTC by Report Bug Copy Issue Report invalid syntax (<unknown>, line 81) Loading history...
82			# We want to keep the type annotations of the objects
83			# tho, so lets statically store them so we can readd
84			# them later.
85			HTTPMeta.__ori_annotations.update({key: value})
86			del mapping["__annotations__"][key]
87
88			# Instanciate our object
89			http_object = super().__new__(mcs, name, base, mapping)
90
91			# Readd all removed items
92			if getattr(http_object, "__annotations__", None):
93			for k, v in HTTPMeta.__ori_annotations.items():
94			http_object.__annotations__[k] = v
95			setattr(http_object, k, None)
96
97			return http_object
98
99
100			class TypeCache(metaclass=Singleton):
101			cache = {}
102
103			def __init__(self):
104			# Register all known types to the cache. This gets used later
105			# to auto-convert the properties to their desired type.
106			lcp = modules.copy()
107			for module in lcp:
108			if not module.startswith("pincer"):
109			continue
110
111			TypeCache.cache.update(lcp[module].__dict__)
112
113
114			@dataclass
115			class APIObject(metaclass=HTTPMeta):
116			"""
117			Represents an object which has been fetched from the Discord API.
118			"""
119			_client: Client
120			_http: HTTPClient
121
122			def __get_types(self, attr: str, arg_type: type) -> Tuple[type]:
123			"""Get the types from type annotations.
124
125			Parameters
126			----------
127			attr: :class:`str`
128			The attribute the typehint belongs to.
129			arg_type: :class:`type`
130			The type annotation for the attribute.
131
132			Returns
133			-------
134			Tuple[:class:`type`]
135			A collection of type annotation(s). Will most of the times
136			consist of 1 item.
137
138			Raises
139			------
140			:class:`~pincer.exceptions.InvalidAnnotation`
141			Exception which is raised when the type annotation has not enough
142			or too many arguments for the parser to handle.
143			"""
144			origin = get_origin(arg_type)
145
146			if origin is Union:
147			# Ahh yes, typing module has no type annotations for this...
148			# noinspection PyTypeChecker
149			args: Tuple[type] = get_args(arg_type)
150
151			if 2 <= len(args) < 4:
152			return args
153
154			raise InvalidAnnotation(
155			f"Attribute `{attr}` in `{type(self).__name__}` has too many "
156			f"or not enough arguments! (got {len(args)} expected 2-3)"
157			)
158
159			return arg_type,
160
161			def __attr_convert(self, attr: str, attr_type: T) -> T:
162			"""Convert an attribute to the requested attribute type using
163			the factory or the __init__.
164
165			Parameters
166			----------
167			attr: :class:`str`
168			The attribute the typehint belongs to.
169			arg_type: T
170			The type annotation for the attribute.
171
172			Returns
173			-------
174			T
175			The instanciated version of the arg_type.
176			"""
177			factory = attr_type
178
179			# Always use `__factory__` over __init__
180			if getattr(attr_type, "__factory__", None):
181			factory = attr_type.__factory__
182
183			return convert(
184			getattr(self, attr),
185			factory,
186			attr_type,
187			self._client
188			)
189
190			def __post_init__(self):
191			TypeCache()
192
193			# Get all type annotations for the attributes.
194			attributes = get_type_hints(self, globalns=TypeCache.cache).items()
195
196			for attr, attr_type in attributes:
197			# Ignore private attributes.
198			if attr.startswith('_'):
199			continue
200
201			types = self.__get_types(attr, attr_type)
202
203			types = tuple(filter(
204			lambda tpe: tpe is not None and tpe is not MISSING,
205			types
206			))
207
208			if not types:
209			raise InvalidAnnotation(
210			f"Attribute `{attr}` in `{type(self).__name__}` only "
211			"consisted of missing/optional type!"
212			)
213
214			specific_tp = types[0]
215
216			if tp := get_origin(specific_tp):
217			specific_tp = tp
218
219			if isinstance(specific_tp, EnumMeta) and not getattr(self, attr):
220			attr_value = MISSING
221			else:
222			attr_value = self.__attr_convert(attr, specific_tp)
223
224			setattr(self, attr, attr_value)
225
226			# Set default factory method to from_dict for APIObject's.
227			@classmethod
228			def __factory__(cls: Generic[T], args, *kwargs) -> T:
229			return cls.from_dict(args, *kwargs)
230
231			def __str__(self):
232			if self.__dict__.get('name'):
233			return self.name
234
235			return super().__str__()
236
237			@classmethod
238			def from_dict(
239			cls: Generic[T],
240			data: Dict[str, Union[str, bool, int, Any]]
241			) -> T:
242			"""
243			Parse an API object from a dictionary.
244			"""
245			if isinstance(data, cls):
246			return data
247
248			# Disable inspection for IDE because this is valid code for the
249			# inherited classes:
250			# noinspection PyArgumentList
251			return cls(**dict(map(
252			lambda key: (
253			key,
254			data[key].value if isinstance(data[key], Enum) else data[key]
255			),
256			filter(
257			lambda object_argument: data.get(object_argument) is not None,
258			getfullargspec(cls.__init__).args
259			)
260			)))
261
262			def to_dict(self) -> Dict:
263			"""
264			Transform the current object to a dictionary representation.
265			"""
266			return _asdict_ignore_none(self)
267

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