在獲取反序列化的數據前,必須調用is_valid()方法進行驗證,驗證成功返回True,不然返回False。前端
驗證失敗,能夠經過序列化器對象的errors屬性獲取錯誤信息,返回字典,包含了字段和字段的錯誤。若是是非字段錯誤,能夠經過修改REST-framework配置中的NON_FIELD_ERRORS_KEY來控制錯誤字典中的鍵名。python
驗證成功,能夠經過序列化器對象的validated_data屬性獲取數據。數據庫
在定義序列化器時,指明每一個字段的序列化類型和選項參數,自己就是一種驗證行爲。django
如咱們前面定義過的BookInfoSerializer測試
class BookInfoSerializer(serializers.Serializer): """圖書數據序列化器""" id = serializers.IntegerField(label='ID', read_only=True) btitle = serializers.CharField(label='名稱', max_length=20) bpub_date = serializers.DateField(label='發佈日期', required=False) bread = serializers.IntegerField(label='閱讀量', required=False) bcomment = serializers.IntegerField(label='評論量', required=False) image = serializers.ImageField(label='圖片', required=False)
經過構造序列化器對象,並將要反序列化的數據傳遞給data構造參數,進而進行驗證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()方法還能夠在驗證失敗時拋出異常serializers.ValidationError,能夠經過傳遞raise_exception=True參數開啓,REST framework接收到此異常,會向前端返回HTTP 400 Bad Request響應。spa
# Return a 400 response if the data was invalid. serializer.is_valid(raise_exception=True)
若是以爲這些還不夠,須要再補充定義驗證行爲,能夠使用如下三種方法:rest
在字段中添加validators選項參數,也能夠補充驗證行爲,如code
def about_django(value): if 'django' not in value.lower(): raise serializers.ValidationError("圖書不是關於Django的") class BookInfoSerializer(serializers.Serializer): """圖書數據序列化器""" id = serializers.IntegerField(label='ID', read_only=True) btitle = serializers.CharField(label='名稱', max_length=20, validators=[about_django]) bpub_date = serializers.DateField(label='發佈日期', required=False) bread = serializers.IntegerField(label='閱讀量', required=False) bcomment = serializers.IntegerField(label='評論量', required=False) image = serializers.ImageField(label='圖片', required=False)
from booktest.serializers import BookInfoSerializer data = {'btitle': 'python'} serializer = BookInfoSerializer(data=data) serializer.is_valid() # False serializer.errors # {'btitle': [ErrorDetail(string='圖書不是關於Django的', code='invalid')]}
validate_<field_name>
<field_name>
字段進行驗證,如class BookInfoSerializer(serializers.Serializer): """圖書數據序列化器""" ... def validate_btitle(self, value): if 'django' not in value.lower(): raise serializers.ValidationError("圖書不是關於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='圖書不是關於Django的', code='invalid')]}
在序列化器中須要同時對多個字段進行比較驗證時,能夠定義validate方法來驗證,如orm
class BookInfoSerializer(serializers.Serializer): """圖書數據序列化器""" ... def validate(self, attrs): bread = attrs['bread'] bcomment = attrs['bcomment'] if bread < bcomment: raise serializers.ValidationError('閱讀量小於評論量') return attrs
測試
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='閱讀量小於評論量', code='invalid')]}
REST framework提供的validators:
UniqueValidator
單字段惟一,如
from rest_framework.validators import UniqueValidator slug = SlugField( max_length=100, validators=[UniqueValidator(queryset=BlogPost.objects.all())] )
UniqueTogetherValidation
聯合惟一,如
from rest_framework.validators import UniqueTogetherValidator class ExampleSerializer(serializers.Serializer): # ... class Meta: validators = [ UniqueTogetherValidator( queryset=ToDoItem.objects.all(), fields=('list', 'position') ) ]
若是在驗證成功後,想要基於validated_data完成數據對象的建立,能夠經過實現create()和update()兩個方法來實現。
class BookInfoSerializer(serializers.Serializer): """圖書數據序列化器""" ... def create(self, validated_data): """新建""" return BookInfo(**validated_data) def update(self, instance, validated_data): """更新,instance爲要更新的對象實例""" 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
若是須要在返回數據對象的時候,也將數據保存到數據庫中,則能夠進行以下修改
class BookInfoSerializer(serializers.Serializer): """圖書數據序列化器""" ... def create(self, validated_data): """新建""" return BookInfo.objects.create(**validated_data) def update(self, instance, validated_data): """更新,instance爲要更新的對象實例""" 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
實現了上述兩個方法後,在反序列化數據的時候,就能夠經過save()方法返回一個數據對象實例了
book = serializer.save()
若是建立序列化器對象的時候,沒有傳遞instance實例,則調用save()方法的時候,create()被調用,相反,若是傳遞了instance實例,則調用save()方法的時候,update()被調用。
from db.serializers import BookInfoSerializer data = {'btitle': '封神演義'} serializer = BookInfoSerializer(data=data) serializer.is_valid() # True serializer.save() # <BookInfo: 封神演義> from db.models import BookInfo book = BookInfo.objects.get(id=2) data = {'btitle': '倚天劍'} serializer = BookInfoSerializer(book, data=data) serializer.is_valid() # True serializer.save() # <BookInfo: 倚天劍> book.btitle # '倚天劍'
1) 在對序列化器進行save()保存時,能夠額外傳遞數據,這些數據能夠在create()和update()中的validated_data參數獲取到
serializer.save(owner=request.user)
2)默認序列化器必須傳遞全部required的字段,不然會拋出驗證異常。可是咱們能夠使用partial參數來容許部分字段更新
# Update `comment` with partial data serializer = CommentSerializer(comment, data={'content': u'foo bar'}, partial=True)