Question

我想反序列化如下输入：

{
    "NameFilter": ["John", "Paul"],  # name has to be exactly 4 letters length
    "AgeFilter": [
        {
            "Min": 10,
            "Max": 12
        },
        {
            "Min": 8,
            "Max": 99
        }
    ]
}

对于这样的事情：

{
    'name_filter': ['John', 'Paul'],
    'age_filter': ['10-12', '8-99']
}

为此，我创建了3个序列化器：

class NameFilterSerializer(serializers.Serializer):
    name_filter = serializers.CharField(max_length=4, validators=[MinLengthValidator(4)])

    def to_representation(self, instance):
        return instance


class AgeFilter(serializers.Serializer):
    min = serializers.IntegerField()
    max = serializers.IntegerField()

    def to_representation(self, instance):
        return str(instance['Min']) + '-' + str(instance['Max'])



class FilterSerializer(serializers.Serializer):
    name_filter = NameFilterSerializer(many=True)
    age_filter = AgeFilter(many=True)

    def to_internal_value(self, data):
        return {
            'name_filter': data['NameFilter'],
            'age_filter': data['AgeFilter']
        }

它返回正确的值，但是在输入数据无效的情况下（“ Min”不是数字或“ NameFilter”包含“ NameExceeding4letters”），它不会引发错误。我想念什么？

无效的数据示例：

{
    "NameFilter": ["VeryLongName", "Paul"],  # name has to be exactly 4 letters length
    "AgeFilter": [
        {
            "Min": 'I am not an int',
            "Max": 12
        },
        {
            "Min": 8,
            "Max": 99
        }
    ]
}```

Answer 1

您可以创建一个自定义序列化器字段，该字段在实际呈现资源之前呈现转换错误：

from django.utils import six


class ValidIntegerField(serializers.IntegerField):
    def to_internal_value(self, data):
        if isinstance(data, six.text_type):
            raise serializers.ValidationError('Value should be a valid integer')

        return super().to_internal_value(data)

然后在序列化器类定义中使用它：

class AgeFilter(serializers.Serializer):
    min = ValidIntegerField()
    max = ValidIntegerField()

    def to_representation(self, instance):
        return str(instance['Min']) + '-' + str(instance['Max'])

注意：有关six.text_type

的文档

反序列化与属性名称不同的字段名称

1 个答案: