Пример #1
0
        def _get_fields_uncached():
            dataclass_bases = [
                klass for klass in cls.__bases__ if is_dataclass(klass) and issubclass(klass, JsonSchemaMixin)
            ]
            base_fields_types = set()
            for base in dataclass_bases:
                base_fields_types |= {(f.name, f.type) for f in fields(base)}

            mapped_fields = []
            type_hints = get_type_hints(cls)
            for f in fields(cls):
                # Skip internal fields
                if f.name.startswith("__") or (not base_fields and (f.name, f.type) in base_fields_types):
                    continue
                # Note fields() doesn't resolve forward refs
                f.type = type_hints[f.name]
                mapped_fields.append(JsonSchemaField(f, cls.field_mapping().get(f.name, f.name)))

            if cls.__serialise_properties:
                include_properties = None
                if isinstance(cls.__serialise_properties, tuple):
                    include_properties = set(cls.__serialise_properties)

                members = inspect.getmembers(cls, inspect.isdatadescriptor)
                for name, member in members:
                    if name != "__weakref__" and (include_properties is None or name in include_properties):
                        f = Field(MISSING, None, None, None, None, None, None)
                        f.name = name
                        f.type = member.fget.__annotations__['return']
                        mapped_fields.append(JsonSchemaField(f, name, is_property=True))

            return mapped_fields
Пример #2
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    def _serialize_field(field_: Field):
        """

        :param field_:
        :return:
        """
        if isinstance(field_, Base):
            return field_.id_
        if isinstance(field_, datetime):
            return field_.strftime("%Y-%m-%d %H:%M:%S")
        if isinstance(field_, date):
            return field_.strftime("%Y-%m-%d")
        return field_
Пример #3
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    def _serialize_field(field_: Field):
        """

        :param field_:
        :return:
        """
        if issubclass(field_.__class__, Entity):
            return field_.id_
        if isinstance(field_, datetime):
            return field_.strftime("%Y-%m-%d %H:%M:%S")
        if isinstance(field_, date):
            return field_.strftime("%Y-%m-%d")
        return field_
Пример #4
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def get_default(field: Field, schema: Schema[T]) -> Any:
    if not schema.omit_default:
        return MISSING
    # type ignore because of https://github.com/python/mypy/issues/6910
    if field.default_factory != MISSING:  # type: ignore
        return field.default_factory()  # type: ignore
    return field.default
Пример #5
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    def _get_field_meta(cls, field: Field, schema_type: SchemaType) -> Tuple[FieldMeta, bool]:
        required = True
        field_meta = FieldMeta(schema_type=schema_type)
        default_value = MISSING
        if field.default is not MISSING:
            # In case of default value given
            default_value = field.default
        elif field.default_factory is not MISSING and field.default_factory is not None:  # type: ignore
            # In case of a default factory given, we call it
            default_value = field.default_factory()  # type: ignore

        if default_value is not MISSING:
            field_meta.default = cls._encode_field(field.type, default_value, omit_none=False)
            required = False
        if field.metadata is not None:
            if "examples" in field.metadata:
                field_meta.examples = [
                    cls._encode_field(field.type, example, omit_none=False) for example in field.metadata["examples"]
                ]
            if "extensions" in field.metadata:
                field_meta.extensions = field.metadata["extensions"]
            if "description" in field.metadata:
                field_meta.description = field.metadata["description"]
            if "title" in field.metadata:
                field_meta.title = field.metadata["title"]
            if schema_type == SchemaType.OPENAPI_3:
                field_meta.read_only = field.metadata.get("read_only")
                if field_meta.read_only and default_value is MISSING:
                    warnings.warn(f"Read-only fields should have a default value")
                field_meta.write_only = field.metadata.get("write_only")
        return field_meta, required
Пример #6
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    def _get_field_meta(cls, field: Field,
                        schema_type: SchemaType) -> Tuple[FieldMeta, bool]:
        required = True
        field_meta = FieldMeta()
        default_value = None
        if field.default is not MISSING and field.default is not None:
            # In case of default value given
            default_value = field.default
        elif field.default_factory is not MISSING and field.default_factory is not None:  # type: ignore
            # In case of a default factory given, we call it
            default_value = field.default_factory()  # type: ignore

        if default_value is not None:
            field_meta.default = cls._encode_field(field.type,
                                                   default_value,
                                                   omit_none=False)
            required = False
        if field.metadata is not None:
            if "description" in field.metadata:
                field_meta.description = field.metadata["description"]
            if schema_type == SchemaType.OPENAPI_3:
                field_meta.read_only = field.metadata.get("read_only")
                if field_meta.read_only and default_value is None:
                    raise ValueError(
                        f"Read-only fields must have a default value")
                field_meta.write_only = field.metadata.get("write_only")
        return field_meta, required
Пример #7
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def get_dataclass_default(field: Field, omit_default: Optional[bool]) -> Any:
    if not omit_default:
        return MISSING
    # type ignore because of https://github.com/python/mypy/issues/6910
    if field.default_factory != MISSING:  # type: ignore
        return field.default_factory()  # type: ignore
    return field.default
Пример #8
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 def name(name: str, field: Field = None):
     if field is None:
         field = fld()
     meta = dict(getattr(field, "metadata", _EMPTY_METADATA))
     meta[Mods.name] = {"from": name}
     field.metadata = types.MappingProxyType(meta)
     return field
Пример #9
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def get_default_value_for_field(field: Field) -> Any:
    if field.default != MISSING:
        return field.default
    elif field.default_factory != MISSING:  # type: ignore
        return field.default_factory()  # type: ignore
    elif is_optional(field.type):
        return None
    raise DefaultValueNotFoundError()
Пример #10
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def _get_default_value_for_field(field: Field) -> Any:
    if field.default != MISSING:
        return field.default
    elif field.default_factory != MISSING:
        return field.default_factory()
    elif _is_optional(field.type):
        return None
    else:
        raise MissingValueError(field)
Пример #11
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def _get_dataclass_field_default(field: Field) -> Any:
    if field.default_factory is not MISSING:
        # pyre-fixme[29]: `Union[dataclasses._MISSING_TYPE,
        #  dataclasses._DefaultFactory[typing.Any]]` is not a function.
        return field.default_factory()
    elif field.default is not MISSING:
        return field.default
    else:
        return None
Пример #12
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def _load_enum(obj, f: Field, prefix: str) -> None:
    enum_annotations = f.type.__dict__.get('__annotations__', {})
    name = f'{prefix.upper()}_{f.name.upper()}'
    for n, nested_type in enum_annotations.items():
        try:
            setattr(obj, f.name, f.type(nested_type(os.environ[name])))
            return
        except ValueError:
            continue
Пример #13
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 def deserialize_field(
     field: dataclasses.Field,
     serialized_value: Union[dict, PrimitiveType,
                             CollectionOfPrimitiveType]):
     if issubclass(field.type, Serializable):
         return field.type.from_dict(dct=serialized_value,
                                     streets_map=streets_map)
     if issubclass(field.type, Junction):
         assert streets_map is not None
         return streets_map[int(serialized_value)]
     if issubclass(field.type, (list, tuple)):
         assert all(
             isinstance(val, (str, int, float))
             for val in serialized_value)
         return field.type(serialized_value)
     assert any(
         issubclass(field.type, primitive_type)
         for primitive_type in (str, int, float))
     return field.type(serialized_value)
 def deserialize_field(field: dataclasses.Field, serialized_value: str):
     if issubclass(field.type, Serializable):
         return field.type.deserialize(serialized=serialized_value,
                                       streets_map=streets_map)
     if issubclass(field.type, Junction):
         assert streets_map is not None
         return streets_map[int(serialized_value)]
     assert any(
         issubclass(field.type, primitive_type)
         for primitive_type in (str, int, float))
     return field.type(serialized_value)
Пример #15
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def _convert_dataclass_field(value, field: dataclasses.Field):
    if value is not dataclasses.MISSING:
        return convert(value, field.type)
    if field.default is not dataclasses.MISSING:
        return field.default
    if field.default_factory is not dataclasses.MISSING:
        return field.default_factory()
    elif is_optional(field.type):
        return None
    else:
        raise MissingException
Пример #16
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def _get_field_default(field: dataclasses.Field):
    """
    Return a marshmallow default value given a dataclass default value

    >>> _get_field_default(dataclasses.field())
    <marshmallow.missing>
    """
    if field.default_factory is not dataclasses.MISSING:
        return field.default_factory()
    elif field.default is dataclasses.MISSING:
        return marshmallow.missing
    return field.default
Пример #17
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def field(*, field=None, callback=None, default=MISSING, default_factory=MISSING, init=True, repr=True,
          hash=None, compare=True, metadata=None):
    if default is not MISSING and default_factory is not MISSING:
        raise ValueError('cannot specify both default and default_factory')
    if field is not None or callback is not None:
        if callback is not None:
            if field is not None:
                raise ValueError('cannot specify both field and callback')
            if not callable(callback):
                raise ValueError('callback must be callable')
        return RowField(field, callback, default, default_factory, init, repr, hash, compare, metadata)
    else:
        return Field(default, default_factory, init, repr, hash, compare, metadata)
Пример #18
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def _default_value(x: Field):
    """Return the default value of the input Field.

    Args:
        x (Field): input Field.

    Returns:
        object: default value of the input Field.
    """
    if x.default not in (MISSING, _MISSING):
        return x.default
    if x.default_factory not in (MISSING, _MISSING):
        return x.default_factory()
    return x.default
Пример #19
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def auto_conversion(obj, field: dataclasses.Field):
    """ Tries to convert the field to the right type

    Raises a TypeError if conversion fails.

    obj -- The obj the field belongs to
    field -- The field to check
    """
    field_val = getattr(obj, field.name)
    if not field_val is None and not isinstance(field_val, field.type):
        try:
            setattr(obj, field.name, field.type(field_val))
        except TypeError as error:
            error_handling_auto_conversion(obj, field, error)
Пример #20
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def _add_type_list(group: argparse._ArgumentGroup, field: dataclasses.Field,
                   name: str):
    group.add_argument(
        f"--{name}_{field.name}",
        type=typing.get_args(field.type)[0],
        default=None
        if field.default_factory is dataclasses.MISSING  # type: ignore
        else field.default_factory(),  # type: ignore
        required=field.default_factory is dataclasses.MISSING,  # type: ignore
        choices=field.metadata.get(  # type: ignore
            Options.POSSIBLE_VALUES, Options.POSSIBLE_VALUES.value),
        help=field.metadata.get(Options.HELP_TEXT,
                                Options.HELP_TEXT.value),  # type: ignore
        nargs="*",
    )
Пример #21
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def _get_value_for_field(field: Field, data: Data, config: Config) -> Any:
    try:
        if field.name in config.prefixed:
            return _extract_nested_dict_for_prefix(config.prefixed[field.name],
                                                   data)
        elif field.name in config.flattened:
            return _extract_flattened_fields(field, data, config.remap)
        else:
            key_name = config.remap.get(field.name, field.name)
            return data[key_name]
    except KeyError:
        if _is_optional(field.type):
            return None
        elif field.default != MISSING:
            return field.default
        elif field.default_factory != MISSING:
            return field.default_factory()
        else:
            raise MissingValueError(field)
Пример #22
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    def _get_default(catch_all_field: Field) -> Any:
        # access to the default factory currently causes
        # a false-positive mypy error (16. Dec 2019):
        # https://github.com/python/mypy/issues/6910

        # noinspection PyProtectedMember
        has_default = not isinstance(catch_all_field.default,
                                     dataclasses._MISSING_TYPE)
        # noinspection PyProtectedMember
        has_default_factory = not isinstance(catch_all_field.default_factory,
                                             # type: ignore
                                             dataclasses._MISSING_TYPE)
        default_value = _CatchAllUndefinedParameters._SentinelNoDefault
        if has_default:
            default_value = catch_all_field.default
        elif has_default_factory:
            # This might be unwanted if the default factory constructs
            # something expensive,
            # because we have to construct it again just for this test
            default_value = catch_all_field.default_factory()  # type: ignore

        return default_value
Пример #23
0
    def _get_field_meta(cls, field: Field,
                        schema_type: SchemaType) -> Tuple[FieldMeta, bool]:
        required = True
        field_meta = FieldMeta()
        default_value = None
        if field.default is not MISSING and field.default is not None:
            # In case of default value given
            default_value = field.default
        elif field.default_factory is not MISSING and field.default_factory is not None:  # type: ignore
            # In case of a default factory given, we call it
            default_value = field.default_factory()  # type: ignore

        if default_value is not None:
            field_meta.default = cls._encode_field(field.type,
                                                   default_value,
                                                   omit_none=False)
            required = False

        if field.metadata is not None:
            if "description" in field.metadata:
                field_meta.description = field.metadata["description"]

        return field_meta, required
Пример #24
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    def _parse_dataclass_field(parser: ArgumentParser,
                               field: dataclasses.Field):
        field_name = f"--{field.name}"
        kwargs = field.metadata.copy()
        # field.metadata is not used at all by Data Classes,
        # it is provided as a third-party extension mechanism.
        if isinstance(field.type, str):
            raise RuntimeError(
                "Unresolved type detected, which should have been done with the help of "
                "`typing.get_type_hints` method by default")

        origin_type = getattr(field.type, "__origin__", field.type)
        if origin_type is Union:
            if len(field.type.__args__) != 2 or type(
                    None) not in field.type.__args__:
                raise ValueError(
                    "Only `Union[X, NoneType]` (i.e., `Optional[X]`) is allowed for `Union`"
                )
            if bool not in field.type.__args__:
                # filter `NoneType` in Union (except for `Union[bool, NoneType]`)
                field.type = (field.type.__args__[0] if isinstance(
                    None, field.type.__args__[1]) else field.type.__args__[1])
                origin_type = getattr(field.type, "__origin__", field.type)

        # A variable to store kwargs for a boolean field, if needed
        # so that we can init a `no_*` complement argument (see below)
        bool_kwargs = {}
        if isinstance(field.type, type) and issubclass(field.type, Enum):
            kwargs["choices"] = [x.value for x in field.type]
            kwargs["type"] = type(kwargs["choices"][0])
            if field.default is not dataclasses.MISSING:
                kwargs["default"] = field.default
            else:
                kwargs["required"] = True
        elif field.type is bool or field.type is Optional[bool]:
            # Copy the currect kwargs to use to instantiate a `no_*` complement argument below.
            # We do not initialize it here because the `no_*` alternative must be instantiated after the real argument
            bool_kwargs = copy(kwargs)

            # Hack because type=bool in argparse does not behave as we want.
            kwargs["type"] = string_to_bool
            if field.type is bool or (field.default is not None
                                      and field.default
                                      is not dataclasses.MISSING):
                # Default value is False if we have no default when of type bool.
                default = False if field.default is dataclasses.MISSING else field.default
                # This is the value that will get picked if we don't include --field_name in any way
                kwargs["default"] = default
                # This tells argparse we accept 0 or 1 value after --field_name
                kwargs["nargs"] = "?"
                # This is the value that will get picked if we do --field_name (without value)
                kwargs["const"] = True
        elif isclass(origin_type) and issubclass(origin_type, list):
            kwargs["type"] = field.type.__args__[0]
            kwargs["nargs"] = "+"
            if field.default_factory is not dataclasses.MISSING:
                kwargs["default"] = field.default_factory()
            elif field.default is dataclasses.MISSING:
                kwargs["required"] = True
        else:
            kwargs["type"] = field.type
            if field.default is not dataclasses.MISSING:
                kwargs["default"] = field.default
            elif field.default_factory is not dataclasses.MISSING:
                kwargs["default"] = field.default_factory()
            else:
                kwargs["required"] = True
        parser.add_argument(field_name, **kwargs)

        # Add a complement `no_*` argument for a boolean field AFTER the initial field has already been added.
        # Order is important for arguments with the same destination!
        # We use a copy of earlier kwargs because the original kwargs have changed a lot before reaching down
        # here and we do not need those changes/additional keys.
        if field.default is True and (field.type is bool
                                      or field.type is Optional[bool]):
            bool_kwargs["default"] = False
            parser.add_argument(f"--no_{field.name}",
                                action="store_false",
                                dest=field.name,
                                **bool_kwargs)
Пример #25
0
def default_field_value(f: Field) -> Any:
    if callable(f.default_factory):  # type: ignore
        return f.default_factory()  # type: ignore
    else:
        return f.default
Пример #26
0
from dataclasses import dataclass,Field

@dataclass
class Employee:
    name: str
    age: int
    gender: str


if __name__ == '__main__':
    e1 = Employee('Sasi',30,'M')
    e2 = Employee('Ramu',35,'M')

    print(e1.__dataclass_fields__)
    my_field = Field('city',str)
    print(my_field)
Пример #27
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def get_default(field: Field) -> Any:
    if field.default_factory is not MISSING:
        value = field.default_factory()
    else:
        value = field.default
    return value if value is not MISSING else None
Пример #28
0
def get_dataclass_default(field: Field) -> Any:
    # type ignore because of https://github.com/python/mypy/issues/6910
    if field.default_factory != MISSING:  # type: ignore
        return field.default_factory()  # type: ignore
    return field.default
Пример #29
0
 def has_default(self, field: dataclasses.Field) -> FieldDefault:
     if field.default != dataclasses.MISSING:
         return FieldDefault(True, field.default)
     if field.default_factory != dataclasses.MISSING:
         return FieldDefault(True, field.default_factory())
     return FieldDefault()
Пример #30
0
class President():

    first_name: Field(str)
    last_name: str
    birthdate: date