在获取反序列化的数据前,必须调用is_valid()方法进行验证,验证成功返回True,不然返回False。前端
验证失败,能够经过序列化器对象的errors属性获取错误信息,返回字典,包含了字段和字段的错误。若是是非字段错误,能够经过修改REST-framework配置中的NON_FIELD_ERRORS_KEY来控制错误字典中的键名。python
验证成功,能够经过序列化器对象的validated_data属性获取数据。数据库
在定义序列化器时,指明每一个字段的序列化类型和选项参数,自己就是一种验证行为。django
如咱们前面定义过的BookInfoSerializer测试
class BookInfoSerializer(serializers.Serializer): """图书数据序列化器""" id = serializers.IntegerField(label='ID', read_only=True) btitle = serializers.CharField(label='名称', max_length=20) bpub_date = serializers.DateField(label='发布日期', required=False) bread = serializers.IntegerField(label='阅读量', required=False) bcomment = serializers.IntegerField(label='评论量', required=False) image = serializers.ImageField(label='图片', required=False)
经过构造序列化器对象,并将要反序列化的数据传递给data构造参数,进而进行验证ui
from booktest.serializers import BookInfoSerializer data = {'bpub_date': 123} serializer = BookInfoSerializer(data=data) serializer.is_valid() # 返回False serializer.errors # {'btitle': [ErrorDetail(string='This field is required.', code='required')], 'bpub_date': [ErrorDetail(string='Date has wrong format. Use one of these formats instead: YYYY[-MM[-DD]].', code='invalid')]} serializer.validated_data # {} data = {'btitle': 'python'} serializer = BookInfoSerializer(data=data) serializer.is_valid() # True serializer.errors # {} serializer.validated_data # OrderedDict([('btitle', 'python')])
is_valid()方法还能够在验证失败时抛出异常serializers.ValidationError,能够经过传递raise_exception=True参数开启,REST framework接收到此异常,会向前端返回HTTP 400 Bad Request响应。spa
# Return a 400 response if the data was invalid. serializer.is_valid(raise_exception=True)
若是以为这些还不够,须要再补充定义验证行为,能够使用如下三种方法:rest
在字段中添加validators选项参数,也能够补充验证行为,如code
def about_django(value): if 'django' not in value.lower(): raise serializers.ValidationError("图书不是关于Django的") class BookInfoSerializer(serializers.Serializer): """图书数据序列化器""" id = serializers.IntegerField(label='ID', read_only=True) btitle = serializers.CharField(label='名称', max_length=20, validators=[about_django]) bpub_date = serializers.DateField(label='发布日期', required=False) bread = serializers.IntegerField(label='阅读量', required=False) bcomment = serializers.IntegerField(label='评论量', required=False) image = serializers.ImageField(label='图片', required=False)
from booktest.serializers import BookInfoSerializer data = {'btitle': 'python'} serializer = BookInfoSerializer(data=data) serializer.is_valid() # False serializer.errors # {'btitle': [ErrorDetail(string='图书不是关于Django的', code='invalid')]}
validate_<field_name>
<field_name>
字段进行验证,如class BookInfoSerializer(serializers.Serializer): """图书数据序列化器""" ... def validate_btitle(self, value): if 'django' not in value.lower(): raise serializers.ValidationError("图书不是关于Django的") return value
from booktest.serializers import BookInfoSerializer data = {'btitle': 'python'} serializer = BookInfoSerializer(data=data) serializer.is_valid() # False serializer.errors # {'btitle': [ErrorDetail(string='图书不是关于Django的', code='invalid')]}
在序列化器中须要同时对多个字段进行比较验证时,能够定义validate方法来验证,如orm
class BookInfoSerializer(serializers.Serializer): """图书数据序列化器""" ... def validate(self, attrs): bread = attrs['bread'] bcomment = attrs['bcomment'] if bread < bcomment: raise serializers.ValidationError('阅读量小于评论量') return attrs
测试
from booktest.serializers import BookInfoSerializer data = {'btitle': 'about django', 'bread': 10, 'bcomment': 20} s = BookInfoSerializer(data=data) s.is_valid() # False s.errors # {'non_field_errors': [ErrorDetail(string='阅读量小于评论量', code='invalid')]}
REST framework提供的validators:
UniqueValidator
单字段惟一,如
from rest_framework.validators import UniqueValidator slug = SlugField( max_length=100, validators=[UniqueValidator(queryset=BlogPost.objects.all())] )
UniqueTogetherValidation
联合惟一,如
from rest_framework.validators import UniqueTogetherValidator class ExampleSerializer(serializers.Serializer): # ... class Meta: validators = [ UniqueTogetherValidator( queryset=ToDoItem.objects.all(), fields=('list', 'position') ) ]
若是在验证成功后,想要基于validated_data完成数据对象的建立,能够经过实现create()和update()两个方法来实现。
class BookInfoSerializer(serializers.Serializer): """图书数据序列化器""" ... def create(self, validated_data): """新建""" return BookInfo(**validated_data) def update(self, instance, validated_data): """更新,instance为要更新的对象实例""" instance.btitle = validated_data.get('btitle', instance.btitle) instance.bpub_date = validated_data.get('bpub_date', instance.bpub_date) instance.bread = validated_data.get('bread', instance.bread) instance.bcomment = validated_data.get('bcomment', instance.bcomment) return instance
若是须要在返回数据对象的时候,也将数据保存到数据库中,则能够进行以下修改
class BookInfoSerializer(serializers.Serializer): """图书数据序列化器""" ... def create(self, validated_data): """新建""" return BookInfo.objects.create(**validated_data) def update(self, instance, validated_data): """更新,instance为要更新的对象实例""" instance.btitle = validated_data.get('btitle', instance.btitle) instance.bpub_date = validated_data.get('bpub_date', instance.bpub_date) instance.bread = validated_data.get('bread', instance.bread) instance.bcomment = validated_data.get('bcomment', instance.bcomment) instance.save() return instance
实现了上述两个方法后,在反序列化数据的时候,就能够经过save()方法返回一个数据对象实例了
book = serializer.save()
若是建立序列化器对象的时候,没有传递instance实例,则调用save()方法的时候,create()被调用,相反,若是传递了instance实例,则调用save()方法的时候,update()被调用。
from db.serializers import BookInfoSerializer data = {'btitle': '封神演义'} serializer = BookInfoSerializer(data=data) serializer.is_valid() # True serializer.save() # <BookInfo: 封神演义> from db.models import BookInfo book = BookInfo.objects.get(id=2) data = {'btitle': '倚天剑'} serializer = BookInfoSerializer(book, data=data) serializer.is_valid() # True serializer.save() # <BookInfo: 倚天剑> book.btitle # '倚天剑'
1) 在对序列化器进行save()保存时,能够额外传递数据,这些数据能够在create()和update()中的validated_data参数获取到
serializer.save(owner=request.user)
2)默认序列化器必须传递全部required的字段,不然会抛出验证异常。可是咱们能够使用partial参数来容许部分字段更新
# Update `comment` with partial data serializer = CommentSerializer(comment, data={'content': u'foo bar'}, partial=True)