【2022-09-27】DRF从入门到入土(三)

序列化类常用字段类型

字段 字段构造方式
BooleanField BooleanField()
NullBooleanField NullBooleanField()
CharField CharField(max_length=None, min_length=None, allow_blank=False, trim_whitespace=True)
EmailField EmailField(max_length=None, min_length=None, allow_blank=False)
RegexField RegexField(regex, max_length=None, min_length=None, allow_blank=False)
SlugField SlugField(maxlength=50, min_length=None, allow_blank=False) 正则字段,验证正则模式 [a-zA-Z0-9-]+
URLField URLField(max_length=200, min_length=None, allow_blank=False)
UUIDField UUIDField(format=’hex_verbose’) format: 1) 'hex_verbose' 如"5ce0e9a5-5ffa-654b-cee0-1238041fb31a" 2) 'hex' 如 "5ce0e9a55ffa654bcee01238041fb31a" 3)'int' - 如: "123456789012312313134124512351145145114" 4)'urn' 如: "urn:uuid:5ce0e9a5-5ffa-654b-cee0-1238041fb31a"
IPAddressField IPAddressField(protocol=’both’, unpack_ipv4=False, **options)
IntegerField IntegerField(max_value=None, min_value=None)
FloatField FloatField(max_value=None, min_value=None)
DecimalField DecimalField(max_digits, decimal_places, coerce_to_string=None, max_value=None, min_value=None) max_digits: 最多位数 decimal_palces: 小数点位置
DateTimeField DateTimeField(format=api_settings.DATETIME_FORMAT, input_formats=None)
DateField DateField(format=api_settings.DATE_FORMAT, input_formats=None)
TimeField TimeField(format=api_settings.TIME_FORMAT, input_formats=None)
DurationField DurationField()
ChoiceField ChoiceField(choices) choices与Django的用法相同
MultipleChoiceField MultipleChoiceField(choices)
FileField FileField(max_length=None, allow_empty_file=False, use_url=UPLOADED_FILES_USE_URL)
ImageField ImageField(max_length=None, allow_empty_file=False, use_url=UPLOADED_FILES_USE_URL)
ListField ListField(child=, min_length=None, max_length=None)
DictField DictField(child=)

序列化类常用字段参数

参数名称 作用
max_length 最大长度
min_lenght 最小长度
allow_blank 是否允许为空
trim_whitespace 是否截断空白字符
max_value 最大值
min_value 最小值

序列化类通用参数

参数名称 说明
read_only 表明该字段仅用于序列化输出,默认False
write_only 表明该字段仅用于反序列化输入,默认False
required 表明该字段在反序列化时必须输入,默认True
default 反序列化时使用的默认值
allow_null 表明该字段是否允许传入None,默认False
validators 该字段使用的验证器
error_messages 包含错误编号与错误信息的字典
label 用于HTML展示API页面时,显示的字段名称
help_text 用于HTML展示API页面时,显示的字段帮助提示信息

序列化类高级用法之source

修改序列化字段名

# name字段在前端显示的时候叫book_name
	-使用source,字段参数,可以指定序列化表中得哪个字段
    	book_name = serializers.CharField(max_length=8, min_length=3,source='name')
    -source指定的可以是字段,也可以是方法,用于重命名
    -source可以做跨表查询

原字段

from rest_framework import serializers


class BookSerializer(serializers.Serializer):
    name = serializers.CharField(max_length=8, min_length=3)
    price = serializers.IntegerField(min_value=10, max_value=99)
    publish = serializers.CharField(max_length=9, min_length=3)

修改字段

from django.db import models


class BookSerializer(serializers.Serializer):
    book_name = serializers.CharField(max_length=8, min_length=3, source='name')
    book_price = serializers.IntegerField(min_value=10, max_value=99, source='price')
    book_publish = serializers.CharField(max_length=9, min_length=3, source='publish')

页面展示

定制序列化字段的两种方式

# 要求前端显示形式为
	   {
        "name": "遥远的救世主",
        "price": 99,
        "publish": {name:xx,city:xxx,email:sss}
    }
    
    
# 方式一:在序列化类中写SerializerMethodField
    publish = serializers.SerializerMethodField()
    def get_publish(self, obj):
        # obj 是当前序列化的对象
        return {'name': obj.publish.name, 'city': obj.publish.city, 'email': obj.publish.email}

    
# 方式二:在表模型中写方法
	def publish_detail(self):
        return {'name': self.publish.name, 'city': self.publish.city, 'email': self.publish.email}

    publish_detail=serializers.DictField()

# 在模型类中写逻辑代码,称之为ddd,领域驱动模型

方式一:SerializerMethodField

class BookSerializer(serializers.Serializer):
    name = serializers.CharField(max_length=8, min_length=3)
    price = serializers.IntegerField(min_value=10, max_value=99)
    publish_date = serializers.DateField()
    # publish要序列化成 {name:北京出版社,city:北京,email:2@qq.com}
    # 方式一:SerializerMethodField必须配合一个方法(get_字段名,需要接受一个参数),方法返回什么,这个字段就是什么
    publish = serializers.SerializerMethodField()
    def get_publish(self, obj):
        # obj 是当前序列化的对象
        return {'name': obj.publish.name, 'city': obj.publish.city, 'email': obj.publish.email}

    # 练习,用方式一,显示所有作者对象  []
    authors = serializers.SerializerMethodField()
    def get_authors(self, obj):
        res_list = []
        for author in obj.authors.all():
            res_list.append({'id': author.id, 'name': author.name, 'age': author.age})
        return res_list

页面展示

方式二:在表模型中写方法

class Book(models.Model):
    name = models.CharField(max_length=32)
    price = models.DecimalField(max_digits=5, decimal_places=2)
    publish_date = models.DateField(null=True)

    publish = models.ForeignKey(to='Publish', on_delete=models.CASCADE)
    authors = models.ManyToManyField(to='Author')

    def publish_detail(self):
        return {'name': self.publish.name, 'city': self.publish.city, 'email': self.publish.email}

    def author_list(self):
        res_list = []
        for author in self.authors.all():
            res_list.append({'id': author.id, 'name': author.name, 'age': author.age})
        return res_list

    def __str__(self):
        return self.name

serailizer.py

class BookSerializer(serializers.Serializer):
    name = serializers.CharField(max_length=8, min_length=3)
    price = serializers.IntegerField(min_value=10, max_value=99)
    publish_date = serializers.DateField()

    # 方式二:在表模型中写方法
    publish_detail = serializers.DictField(read_only=True)
    # 使用方式二实现,显示所有作者
    author_list = serializers.ListField(read_only=True)

关联关系表反序列化保存

class BookSerializer(serializers.Serializer):
    name = serializers.CharField(max_length=8, min_length=3)
    price = serializers.IntegerField(min_value=10, max_value=99)
    publish_date = serializers.DateField()

    # 反序列化用的
    publish = serializers.IntegerField(write_only=True)
    authors = serializers.ListField(write_only=True)
    # 序列化用的
    publish_detail = serializers.DictField(read_only=True)
    author_list = serializers.ListField(read_only=True)
	# 重写create方法
    def create(self, validated_data):
        # validated_data 校验过后的数据
        book = Book.objects.create(name=validated_data.get('name'),
                                   price=validated_data.get('price'),
                                   publish_date=validated_data.get('publish_date'),
                                   publish_id=validated_data.get('publish'),
                                   )
        authors = validated_data.get('authors')
        book.authors.add(*authors)
        return book

页面展示

# 缺点
	1 在序列化中每个字段都要写,无论是序列化还是反序列化
    2 如果新增或者修改,在序列化类中都需要重写create或update
    
# 解决这个缺点,使用ModelSerializer来做

模型类序列化器

class BookModelSerializer(serializers.ModelSerializer): #ModelSerializer继承Serializer
    # 不需要写字段了,字段从表模型映射过来
    class Meta:
        model = Book  # 要序列化的表模型
        # fields='__all__' # 所有字段都序列化
        fields = ['name', 'price', 'publish_date', 'publish', 'authors', 'publish_detail',
                  'author_list']  # 列表中有什么,就是序列化哪个字段
        # 给authors和publish加write_only属性
        # name加max_len属性
        extra_kwargs = {
            'name': {'max_length': 8},
            'publish': {'write_only': True},
            'authors': {'write_only': True},
        }  
 	publish_detail = serializers.SerializerMethodField(read_only=True)

    def get_publish_detail(self, obj):
        # obj 是当前序列化的对象
        return {'name': obj.publish.name, 'city': obj.publish.city, 'email': obj.publish.email}

    authors_list = serializers.SerializerMethodField(read_only=True)

    def get_authors_list(self, obj):
        res_list = []
        for author in obj.authors.all():
            res_list.append({'id': author.id, 'name': author.name, 'age': author.age})
        return res_list

总结

#  如何使用
    1 定义一个类继承ModelSerializer
    2 类内部写内部内 class Meta:
    3 在内部类中指定model(要序列化的表)
    4 在内部类中指定fields(要序列化的字段,写__all__表示所有,不包含方法,写[一个个字段])
    5 在内部类中指定extra_kwargs,给字段添加字段参数的
    6 在序列化类中,可以重写某个字段,优先使用你重写的
        name = serializers.SerializerMethodField()
    	def get_name(self, obj):
        	return 'sb---' + obj.name
 
    7 以后不需要重写create和update了
    	-ModelSerializer写好了,兼容性更好,任意表都可以直接存

反序列化之数据校验

# 字段自己的校验规则
	-如果继承的是Serializer,写法如下
    	name=serializers.CharField(max_length=8,min_length=3,error_messages={'min_length': "太短了"})
    -如果继承的是ModelSerializer,写法如下
       extra_kwargs = {
            'name': {'max_length': 8, 'min_length': 3, 'error_messages': {'min_length': "太短了"}},
        }
        
        
# 局部钩子
    -如果继承的是Serializer,写法一样
    -如果继承的是ModelSerializer,写法一样
	def validate_name(self, name):
        if name.startswith('sb'):
            # 校验不通过,抛异常
            raise ValidationError('不能以sb卡头')
        else:
            return name

        
# 全局钩子
	-如果继承的是Serializer,写法一样
    -如果继承的是ModelSerializer,写法一样
	def validate(self, attrs):
        if attrs.get('name') == attrs.get('publish_date'):
            raise ValidationError('名字不能等于日期')
        else:
            return attrs

反序列化数据源码分析

# 先校验字段自己的规则(最大,最小),走局部钩子校验,走全局钩子
# 局部:validate_name,全局叫:validate 为什么?

# 入口:从哪开始看,哪个操作,执行了字段校验ser.is_valid()
	-BaseSerializer内的is_valid()方法
	    def is_valid(self, *, raise_exception=False):
            if not hasattr(self, '_validated_data'):
                try:
                    # 真正的走校验,如果成功,返回校验过后的数据
                    self._validated_data = self.run_validation(self.initial_data)
                except ValidationError as exc:
            return not bool(self._errors)
    
    -内部执行了:self.run_validation(self.initial_data)---》本质执行的Serializer的
    	-如果你按住ctrl键,鼠标点击,会从当前类中找run_validation,找不到会去父类找
    	-这不是代码的执行,代码执行要从头开始找,从自己身上再往上找
    	    def run_validation(self, data=empty):
                #局部钩子的执行
                value = self.to_internal_value(data)
                try:
                    # 全局钩子的执行,从根上开始找着执行,优先执行自己定义的序列化类中得全局钩子
                    value = self.validate(value)
                except (ValidationError, DjangoValidationError) as exc:
                    raise ValidationError(detail=as_serializer_error(exc))

                return value
  -全局钩子看完了,局部钩子---》 self.to_internal_value---》从根上找----》本质执行的Serializer的
     def to_internal_value(self, data):
        for field in fields: # fields:序列化类中所有的字段,for循环每次取一个字段对象
            # 反射:去self:序列化类的对象中,反射 validate_字段名 的方法
            validate_method = getattr(self, 'validate_' + field.field_name, None)
            try:
                # 这句话是字段自己的校验规则(最大最小长度)
                validated_value = field.run_validation(primitive_value)
                # 局部钩子
                if validate_method is not None:
                    validated_value = validate_method(validated_value)
            except ValidationError as exc:
                errors[field.field_name] = exc.detail

        return ret
    
 # 你自己写的序列化类---》继承了ModelSerializer---》继承了Serializer---》BaseSerializer---》Field

断言assert

# assert :断言,作用的判断,断定一个变量必须是xx,如果不是就报错,写法如下:

name = 'jason'
assert name == 'jason', 'name不等于jason'
print('GG')

自主练习

继承APIview+Serializer

serializer.py

from rest_framework import serializers
from .models import Book


# 序列化类中
class BookSerializer(serializers.Serializer):
    name = serializers.CharField(max_length=8, min_length=3)
    price = serializers.IntegerField(min_value=10, max_value=99)
    publish_date = serializers.DateField()

    # 反序列化用的
    publish = serializers.IntegerField(write_only=True)
    authors = serializers.ListField(write_only=True)
    # 序列化用的
    publish_detail = serializers.DictField(read_only=True)
    author_list = serializers.ListField(read_only=True)

    def create(self, validated_data):
        # validated_data 校验过后的数据
        book = Book.objects.create(name=validated_data.get('name'),
                                   price=validated_data.get('price'),
                                   publish_date=validated_data.get('publish_date'),
                                   publish_id=validated_data.get('publish'),
                                   )
        authors = validated_data.get('authors')
        book.authors.add(*authors)
        return book

    def update(self, instance, validated_data):
        instance.name = validated_data.get('name')  # 对象点name = 校验过后的数据中的name
        instance.price = validated_data.get('price')
        instance.publish_date = validated_data.get('publish_date')
        instance.publish_id = validated_data.get('publish_id')

        authors = validated_data.get('authors')
        instance.authors.set(*authors)
        instance.save()  # 调用save方法保存
        return instance  # 最后把instance返回出去

views.py

from django.shortcuts import render
from rest_framework.views import APIView
from .serializer import BookSerializer
from .models import Book
from rest_framework.response import Response


class BookView(APIView):
    # 获取所有图书接口
    def get(self, request):
        book_list = Book.objects.all()
        # res = BookSerializer(instance=book_list, many=True)
        ser = BookSerializer(instance=book_list, many=True)
        return Response(ser.data)

    # 新增图书接口
    def post(self, request):
        ser = BookSerializer(data=request.data)
        if ser.is_valid():
            ser.save()
            return Response({'code': 100, 'msg': '新增成功'})
        else:
            return Response({'code': 102, 'msg': ser.errors})


class BookDetailView(APIView):
    # 获取单个图书接口
    def get(self, request, pk):
        book = Book.objects.filter(pk=pk).first()
        ser = BookSerializer(instance=book)
        return Response(ser.data)

    # 修改图书接口
    def put(self, request, pk):
        book = Book.objects.filter(pk=pk).first()  # 根据pk取到book对象
        ser = BookSerializer(instance=book, data=request.data)  # 使用data数据修改book对象
        if ser.is_valid():  # 校验前端传入的数据  虽然没写校验规则,但是流程还在
            ser.save()  # 调用save会触发BookSerializer的save方法,判断了,如果instance有值执行update,没有值执行create
            return Response(ser.data)  # 校验成功返回数据
        else:
            return Response(ser.errors)  # 否则返回错误信息

    # 删除图书接口
    def delete(self, request, pk):
        Book.objects.filter(pk=pk).delete()
        return Response()

继承APIView+ModelSerializers

serialize.py

from rest_framework import serializers
from .models import Book


class BookModelSerializer(serializers.ModelSerializer):

    class Meta:
        # 序列化表模型
        model = Book
        # 序列化字段  fields = '__all__'
        fields = ['name', 'price', 'publish_date', 'publish', 'authors', 'publish_detail',
                  'authors_list']
        # 给新增的两个字段添加write_only属性
        extra_kwargs = {
            'name': {'max_length': 8},
            'publish': {'write_only': True},
            'authors': {'write_only': True},
        }

    publish_detail = serializers.SerializerMethodField(read_only=True)

    def get_publish_detail(self, obj):
        # obj 是当前序列化的对象
        return {'name': obj.publish.name, 'city': obj.publish.city, 'email': obj.publish.email}

    authors_list = serializers.SerializerMethodField(read_only=True)

    def get_authors_list(self, obj):
        res_list = []
        for author in obj.authors.all():
            res_list.append({'id': author.id, 'name': author.name, 'age': author.age})
        return res_list

views.py

from django.shortcuts import render
from rest_framework.views import APIView
from .serializer import BookModelSerializer
from .models import Book
from rest_framework.response import Response


# Create your views here.


class BookView(APIView):
    # 获取所有图书接口
    def get(self, request):
        book_list = Book.objects.all()
        ser = BookModelSerializer(instance=book_list, many=True)
        return Response(ser.data)

    # 新增图书接口
    def post(self, request):
        ser = BookModelSerializer(data=request.data)
        if ser.is_valid():
            ser.save()
            return Response({'code': 100, 'msg': '新增成功'})
        else:
            return Response({'code': 102, 'msg': ser.errors})


class BookDetailView(APIView):
    # 获取单个图书接口
    def get(self, request, pk):
        book = Book.objects.filter(pk=pk).first()
        ser = BookModelSerializer(instance=book)
        return Response(ser.data)

    # 修改图书接口
    def put(self, request, pk):
        book = Book.objects.filter(pk=pk).first()  # 根据pk取到book对象
        ser = BookModelSerializer(instance=book, data=request.data)  # 使用data数据修改book对象
        if ser.is_valid():  # 校验前端传入的数据  虽然没写校验规则,但是流程还在
            ser.save()  # 调用save会触发BookSerializer的save方法,判断了,如果instance有值执行update,没有值执行create
            return Response(ser.data)  # 校验成功返回数据
        else:
            return Response(ser.errors)  # 否则返回错误信息

    # 删除图书接口
    def delete(self, request, pk):
        Book.objects.filter(pk=pk).delete()
        return Response()

效果展示

查看所有图书接口

查看单本图书接口

新增图书接口

后台数据库

删除图书接口

后台数据库

修改图书接口

后台数据库

posted @ 2022-09-27 21:42  dy12138  阅读(63)  评论(0)    收藏  举报