Django之DRF源码分析（二）---数据校验部分

Django之DRF源码分析（二）---数据校验部分

is_valid() 源码

def is_valid(self, raise_exception=False):
    assert not hasattr(self, 'restore_object'), (
        'Serializer `%s.%s` has old-style version 2 `.restore_object()` '
        'that is no longer compatible with REST framework 3. '
        'Use the new-style `.create()` and `.update()` methods instead.' %
        (self.__class__.__module__, self.__class__.__name__)
    )

    assert hasattr(self, 'initial_data'), (
        'Cannot call `.is_valid()` as no `data=` keyword argument was '
        'passed when instantiating the serializer instance.'
    )

    if not hasattr(self, '_validated_data'):
        try:
            self._validated_data = self.run_validation(self.initial_data)
        except ValidationError as exc:
            self._validated_data = {}
            self._errors = exc.detail
        else:
            self._errors = {}

    if self._errors and raise_exception:
        raise ValidationError(self.errors)

    return not bool(self._errors)

serializers.py

    def run_validation(self, data=empty):
        """
        We override the default `run_validation`, because the validation
        performed by validators and the `.validate()` method should
        be coerced into an error dictionary with a 'non_fields_error' key.
        我们覆盖默认的“run_validation”，因为验证器和“.validate()”方法执行的验证应该强制到一个带有“non_fields_error”键的错误字典中。
        """
        (is_empty_value, data) = self.validate_empty_values(data)
        if is_empty_value:
            return data
        # 局部钩子校验
        value = self.to_internal_value(data)
        try:
            self.run_validators(value)
            # 全局钩子校验
            value = self.validate(value)
            assert value is not None, '.validate() should return the validated data'
        except (ValidationError, DjangoValidationError) as exc:
            raise ValidationError(detail=as_serializer_error(exc))

        return value

    """>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>"""
        def to_internal_value(self, data):
        """
        Dict of native values <- Dict of primitive datatypes.
        """
        if not isinstance(data, Mapping):
            message = self.error_messages['invalid'].format(
                datatype=type(data).__name__
            )
            raise ValidationError({
                api_settings.NON_FIELD_ERRORS_KEY: [message]
            }, code='invalid')

        ret = OrderedDict()
        errors = OrderedDict()
        fields = self._writable_fields

        for field in fields:
            validate_method = getattr(self, 'validate_' + field.field_name, None)
            primitive_value = field.get_value(data)
            try:
                validated_value = field.run_validation(primitive_value)
                if validate_method is not None:
                    validated_value = validate_method(validated_value)
            except ValidationError as exc:
                errors[field.field_name] = exc.detail
            except DjangoValidationError as exc:
                errors[field.field_name] = get_error_detail(exc)
            except SkipField:
                pass
            else:
                set_value(ret, field.source_attrs, validated_value)

        if errors:
            raise ValidationError(errors)

        return ret

    """>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>"""
        def validate(self, attrs):
        return attrs

fileds.py

    def validate_empty_values(self, data):
        """
        Validate empty values, and either:

        * Raise `ValidationError`, indicating invalid data.
        * Raise `SkipField`, indicating that the field should be ignored.
        * Return (True, data), indicating an empty value that should be
          returned without any further validation being applied.
        * Return (False, data), indicating a non-empty value, that should
          have validation applied as normal.
        """
        if self.read_only:
            return (True, self.get_default())

        if data is empty:
            if getattr(self.root, 'partial', False):
                raise SkipField()
            if self.required:
                self.fail('required')
            return (True, self.get_default())

        if data is None:
            if not self.allow_null:
                self.fail('null')
            return (True, None)

        return (False, data)

    def run_validation(self, data=empty):
        """
        Validate a simple representation and return the internal value.

        The provided data may be `empty` if no representation was included
        in the input.

        May raise `SkipField` if the field should not be included in the
        validated data.
        """
        (is_empty_value, data) = self.validate_empty_values(data)
        if is_empty_value:
            return data
        value = self.to_internal_value(data)
        self.run_validators(value)
        return value

    def run_validators(self, value):
        """
        Test the given value against all the validators on the field,
        and either raise a `ValidationError` or simply return.
        """
        errors = []
        for validator in self.validators:
            if hasattr(validator, 'set_context'):
                validator.set_context(self)

            try:
                validator(value)
            except ValidationError as exc:
                # If the validation error contains a mapping of fields to
                # errors then simply raise it immediately rather than
                # attempting to accumulate a list of errors.
                if isinstance(exc.detail, dict):
                    raise
                errors.extend(exc.detail)
            except DjangoValidationError as exc:
                errors.extend(get_error_detail(exc))
        if errors:
            raise ValidationError(errors)

    def to_internal_value(self, data):
        """
        Transform the *incoming* primitive data into a native value.
        """
        raise NotImplementedError(
            '{cls}.to_internal_value() must be implemented.'.format(
                cls=self.__class__.__name__
            )
        )

    def to_representation(self, value):
        """
        Transform the *outgoing* native value into primitive data.
        """
        raise NotImplementedError(
            '{cls}.to_representation() must be implemented for field '
            '{field_name}. If you do not need to support write operations '
            'you probably want to subclass `ReadOnlyField` instead.'.format(
                cls=self.__class__.__name__,
                field_name=self.field_name,
            )
        )