如果我们想要使用序列化器对应的是Django的模型类,DRF为我们提供了ModelSerializer模型类序列化器来帮助我们快速创建一个Serializer类。
ModelSerializer与常规的Serializer相同,但提供了:
基于模型类自动生成一系列字段包含默认的create()和update()的实现比如我们创建一个BookInfoSerializer
class BookInfoSerializer(serializers.ModelSerializer): """图书数据序列化器""" class Meta: model = BookInfo fields = '__all__' model 指明参照哪个模型类fields 指明为模型类的哪些字段生成我们可以在python manage.py shell中查看自动生成的BookInfoSerializer的具体实现
>>> from booktest.serializers import BookInfoSerializer >>> serializer = BookInfoSerializer() >>> serializer BookInfoSerializer(): id = IntegerField(label='ID', read_only=True) btitle = CharField(label='名称', max_length=20) bpub_date = DateField(allow_null=True, label='发布日期', required=False) bread = IntegerField(label='阅读量', max_value=2147483647, min_value=-2147483648, required=False) bcomment = IntegerField(label='评论量', max_value=2147483647, min_value=-2147483648, required=False) image = ImageField(allow_null=True, label='图片', max_length=100, required=False)1) 使用fields来明确字段,__all__表名包含所有字段,也可以写明具体哪些字段,如
class BookInfoSerializer(serializers.ModelSerializer): """图书数据序列化器""" class Meta: model = BookInfo fields = ('id', 'btitle', 'bpub_date')2) 使用exclude可以明确排除掉哪些字段
class BookInfoSerializer(serializers.ModelSerializer): """图书数据序列化器""" class Meta: model = BookInfo exclude = ('image',)3) 默认ModelSerializer使用主键作为关联字段,但是我们可以使用depth来简单的生成嵌套表示,depth应该是整数,表明嵌套的层级数量。如:
class HeroInfoSerializer2(serializers.ModelSerializer): class Meta: model = HeroInfo fields = '__all__' depth = 1形成的序列化器如下:
HeroInfoSerializer(): id = IntegerField(label='ID', read_only=True) hname = CharField(label='名称', max_length=20) hgender = ChoiceField(choices=((0, 'male'), (1, 'female')), label='性别', required=False, validators=[<django.core.valators.MinValueValidator object>, <django.core.validators.MaxValueValidator object>]) hcomment = CharField(allow_null=True, label='描述信息', max_length=200, required=False) hbook = NestedSerializer(read_only=True): id = IntegerField(label='ID', read_only=True) btitle = CharField(label='名称', max_length=20) bpub_date = DateField(allow_null=True, label='发布日期', required=False) bread = IntegerField(label='阅读量', max_value=2147483647, min_value=-2147483648, required=False) bcomment = IntegerField(label='评论量', max_value=2147483647, min_value=-2147483648, required=False) image = ImageField(allow_null=True, label='图片', max_length=100, required=False)4) 显示指明字段,如:
class HeroInfoSerializer(serializers.ModelSerializer): hbook = BookInfoSerializer() class Meta: model = HeroInfo fields = ('id', 'hname', 'hgender', 'hcomment', 'hbook')5) 指明只读字段
可以通过read_only_fields指明只读字段,即仅用于序列化输出的字段
class BookInfoSerializer(serializers.ModelSerializer): """图书数据序列化器""" class Meta: model = BookInfo fields = ('id', 'btitle', 'bpub_date', 'bread', 'bcomment') read_only_fields = ('id', 'bread', 'bcomment')我们可以使用extra_kwargs参数为ModelSerializer添加或修改原有的选项参数
class BookInfoSerializer(serializers.ModelSerializer): """图书数据序列化器""" class Meta: model = BookInfo fields = ('id', 'btitle', 'bpub_date', 'bread', 'bcomment') extra_kwargs = { 'bread': {'min_value': 0, 'required': True}, 'bcomment': {'min_value': 0, 'required': True}, } # BookInfoSerializer(): # id = IntegerField(label='ID', read_only=True) # btitle = CharField(label='名称', max_length=20) # bpub_date = DateField(allow_null=True, label='发布日期', required=False) # bread = IntegerField(label='阅读量', max_value=2147483647, min_value=0, required=True) # bcomment = IntegerField(label='评论量', max_value=2147483647, min_value=0, required=True)