首页 > 技术文章 > DRF多表设计与ModelSerializer组件

SR-Program 2019-10-16 20:03 原文

一:多表设计

(1)模型表字段

"""
Book表:name、price、img、authors、publish、is_delete、create_time

Publish表:name、address、is_delete、create_time
    
Author表:name、age、is_delete、create_time

AuthorDetail表:mobile, author、is_delete、create_time
    
BaseModel基表
    is_delete、create_time
上面四表继承基表,可以继承两个字段
"""

PS:

  (1)表格都有是否删除字段 创建时间字段

  (2)抽象继承一个模型表(基表)

(2)基表的创建

class BaseModel(models.Model):
    is_delete = models.BooleanField(default=False)
    create_time = models.DateTimeField(auto_now_add=True)

    # 设置 abstract = True 来声明基表,作为基表的Model不能在数据库中形成对应的表 重点
    class Meta:
        abstract = True

(3)断关联多表关系

(1)作用:

  (1)物理上断开关系提升查找效率

  (2)防止环装表关系 导致表关系成为死表(即不能再操作表 如果想要在重新操作表格 需要删库跑路)

(2)字段设计

1:外键字段
    (1)一对多:外键存放在多的一方
    (2)一对一:从逻辑正反向考虑 如作者与作者详情 作者删除 作者详情级联更新  作者详情删除 作者还在 因此将外键存放在详情表中
    (3)多对多:在关系表中

2:ORM查询
    (1)正向查询:通过外键字段
    (2)反向查询:听过ralated_name

(3)连表操作关系
    (1)作者删除--->作者详情删除---->cascade
    (2)作者删除--->作者详情为空---->set_null
    (3)作者删除--->作者详情默认---->set-defalut
    (4)作者删除--->作者详情无损---->do_nothing
字段设计
    # 作者详情表中的
    author = models.OneToOneField(
        to='Author',
        related_name='detail',
        db_constraint=False,
        on_delete=models.CASCADE
    )
    
    # 图书表中的
    publish = models.ForeignKey(
        to='Publish',
        related_name='books',
        db_constraint=False,
        on_delete=models.DO_NOTHING,
    )
    authors = models.ManyToManyField(
        to='Author'
        related_name='books',
        db_constraint=False,
    )

PS:

  (1)多对多表关系不能设置on_delete

  (2)一对一,一对多必须设置on_delete 

  (3)1.X的Django默认设置on_delete 2.X需要手工设置

(4)模型表创建

# 1) 基表
class BaseModel(models.Model):
    is_delete = models.BooleanField(default=False)
    create_time = models.DateTimeField(auto_now_add=True)

    # 作为基表的Model不能在数据库中形成对应的表,设置 abstract = True
    class Meta:
        abstract = True


class Book(BaseModel):
    """name、price、img、authors、publish、is_delete、create_time"""
    name = models.CharField(max_length=64)
    price = models.DecimalField(max_digits=5, decimal_places=2)
    img = models.ImageField(upload_to='img', default='img/default.jpg')
    publish = models.ForeignKey(
        to='Publish',
        db_constraint=False,  # 断关联
        related_name='books',  # 反向查询字段:publish_obj.books 就能访问所有出版的书
        on_delete=models.DO_NOTHING,  # 设置连表操作关系
    )
    authors = models.ManyToManyField(
        to='Author',
        db_constraint=False,
        related_name='books'
    )

    # 序列化插拔式属性 - 完成自定义字段名完成连表查询
    @property
    def publish_name(self):
        return self.publish.name

    @property
    def author_list(self):
        return self.authors.values('name', 'age', 'detail__mobile').all()

    class Meta:
        db_table = 'book'
        verbose_name = '书籍'
        verbose_name_plural = verbose_name
    def __str__(self):
        return self.name

class Publish(BaseModel):
    """name、address、is_delete、create_time"""
    name = models.CharField(max_length=64)
    address = models.CharField(max_length=64)

    class Meta:
        db_table = 'publish'
        verbose_name = '出版社'
        verbose_name_plural = verbose_name
    def __str__(self):
        return self.name

class Author(BaseModel):
    """name、age、is_delete、create_time"""
    name = models.CharField(max_length=64)
    age = models.IntegerField()

    class Meta:
        db_table = 'author'
        verbose_name = '作者'
        verbose_name_plural = verbose_name
    def __str__(self):
        return self.name

class AuthorDetail(BaseModel):
    """mobile, author、is_delete、create_time"""
    mobile = models.CharField(max_length=11)
    author = models.OneToOneField(
        to='Author',
        db_constraint=False,
        related_name='detail',
        on_delete=models.CASCADE,
    )

    class Meta:
        db_table = 'author_detail'
        verbose_name = '作者详情'
        verbose_name_plural = verbose_name
    def __str__(self):
        return '%s的详情' % self.author.name
模型表

二:ModelSerializer

(1)settings文件配置

INSTALLED_APPS = [
    # 注册rest_framework
    'rest_framework',
]

DATABASES = {
    'default': {
        'ENGINE': 'django.db.backends.mysql',
        'NAME': 'database',
        'USER': 'root',
        'PASSWORD': '123',
    }
}
"""
任何__init__文件
import pymysql
pymysql.install_as_MySQLdb()
"""

LANGUAGE_CODE = 'zh-hans'
TIME_ZONE = 'Asia/Shanghai'
USE_I18N = True
USE_L10N = True
USE_TZ = False

MEDIA_URL = '/media/'
MEDIA_ROOT = os.path.join(BASE_DIR, 'media')
settings文件配置

(2)主路由层配置

from django.conf.urls import url, include
from django.contrib import admin
from django.views.static import serve
from django.conf import settings
urlpatterns = [
    url(r'^admin/', admin.site.urls),
    url(r'^api/', include('api.urls')),
    url(r'^media/(?P<path>.*)', serve, {'document_root': settings.MEDIA_ROOT}),
]
主路由

(3)子路由层

from django.conf.urls import url
from . import views
urlpatterns = [
    url('^books/$', views.Book.as_view()),
    url('^books/(?P<primary_key>.*)/$', views.Book.as_view()),
    url(r'^v2/books/$', views.V2Book.as_view()),
    url(r'^v2/books/(?P<pk>.*)/$', views.V2Book.as_view()),
]

(3)序列化层:

(1)项目下创建一下py文件

serializers.py

(2)导入相应的模块

from rest_framework.serializers import ModelSerializer, SerializerMethodField
from rest_framework.exceptions import ValidationError   # 导入报错信息
from . import models    # 导入模型表

(3)基础使用方式

class BookModelSerializer(ModelSerializer):  # 创建序列化类class Meta:     
        model = models.Book # 序列化类关联的model类  后面根据类目相当于拿到类的名称空间 
        fields = ('name', 'price', 'img', 'author_info', )      # 参与序列化的字段

(4)自定义连表深度

# 可以单独作为Publish接口的序列化类,也可以作为Book序列化外键publish辅助的序列化组件
class PublishModelSerializer(ModelSerializer):
    class Meta:
        model = models.Publish
        fields = ('name', 'address')

class BookModelSerializer(ModelSerializer):

    # 自定义连表深度 - 子序列化方式 - 该方式不能参与反序列化,使用在序列化反序列化共存时,不能书写
    publish = PublishModelSerializer()
    class Meta:
        # 序列化类关联的model类
        model = models.Book
        # 参与序列化的字段
        fields = ('name', 'price', 'img', 'author_info','publish' )

(5)小特性了解知识点

class BookModelSerializer(ModelSerializer):
    # 了解: 该方式设置的序列化字段,必须在fields中声明
     publish_address = SerializerMethodField()
     def get_publish_address(self, obj):
         return obj.publish.address
      
         fields = '__all__'    # 所有字段
 
         exclude = ('id', 'is_delete', 'create_time')     # 与fields不共存,exclude排除哪些字段
    
         depth = 1      # 自动连表深度

(6)视图层查询数据

class Book(APIView):
    def get(self, request, *args, **kwargs):
        pk = kwargs.get('pk')
        if pk:
            try:
                book_obj = models.Book.objects.get(pk=pk, is_delete=False)
                book_data = serializers.BookModelSerializer(book_obj).data
            except:
                return Response({
                    'status': 1,
                    'msg': '书籍不存在'
                })
        else:
            book_query = models.Book.objects.filter(is_delete=False).all()
            book_data = serializers.BookModelSerializer(book_query, many=True).data
        return Response({
            'status': 0,
            'msg': 'ok',
            'results': book_data
        })

(7)序列化层

class PublishModelSerializer(ModelSerializer):
    class Meta:
        model = models.Publish
        fields = ('name', 'address')

class BookModelSerializer(ModelSerializer):
 
    # 自定义连表深度 - 子序列化方式 - 该方式不能参与反序列化,使用在序列化反序列化共存时,不能书写
    publish = PublishModelSerializer()

    class Meta:
        # 序列化类关联的model类
        model = models.Book
        # 参与序列化的字段
        fields = ('name', 'price', 'img', 'author_info', 'publish')

 (8)视图层数据提交

class Book(APIView):
    def post(self, request, *args, **kwargs):
        request_data = request.data
        book_ser = serializers.BookModelDeserializer(data=request_data)
        # raise_exception=True:当校验失败,马上终止当前视图方法,抛异常返回给前台
        book_ser.is_valid(raise_exception=True)
        book_obj = book_ser.save()
        return Response({
            'status': 0,
            'msg': 'ok',
            'results': serializers.BookModelSerializer(book_obj).data
        })

(9)反序列化层

class BookModelDeserializer(ModelSerializer):
    class Meta:
        model = models.Book
        fields = ('name', 'price', 'publish', 'authors')
        # extra_kwargs 用来完成反序列化字段的 系统校验规则
        extra_kwargs = {
            'name': {
                'required': True,
                'min_length': 1,
                'error_messages': {
                    'required': '必填项',
                    'min_length': '太短',
                }
            }
        }
    
    # 局部钩子
    def validate_name(self, value):
        # 书名不能包含 g 字符
        if 'g' in value.lower():
            raise ValidationError('该g书不能出版')
        return value
    # 全局钩子
    def validate(self, attrs):
        publish = attrs.get('publish')
        name = attrs.get('name')
        if models.Book.objects.filter(name=name, publish=publish):
            raise ValidationError({'book': '该书已存在'})
        return attrs

    # ModelSerializer类已经帮我们实现了 create 与 update 方法

三:序列化反序列化二合一

(1)fields中设置所有需要参与序列化与反序列化的字段

(2)extra_kwargs 设置哪些字段是只参与序列化与参与反序列化

  (1)read_only ---> 只参与序列化

  (2)write_only ---> 只参与反序列化

(3)设置全局钩子 局部钩子 以及需要校验的字段

(4)代码展示

class V2BookModelDeSerializer(ModelSerializer):
    class Meta:
        model = models.Book  # 参与序列化的模型表
        fields = ('name', 'price', 'img', 'authors_info', 'publish_name', 'publish', 'authors')   # 参与序列化与反序列化的字段

        extra_kwargs = {    # 设置额外的约束条件
            'name': {  
                'required': True,
                'min_length': 1,
                'error_messages': {
                    'required': '必填项',
                    'min_length': '太短',
                }
            },
            'publish': {
                'write_only': True
            },
            'authors': {
                'write_only': True
            },
            'img': {
                'read_only': True,
            },
            'author_list': {
                'read_only': True,
            },
            'publish_name': {
                'read_only': True,
            }
        }

    def validate_name(self, value):   # 局部钩子
        # 书名不能包含 g 字符
        if 'g' in value.lower():
            raise ValidationError('该g书不能出版')
        return value
 
    def validate(self, attrs):   # 全局钩子
        publish = attrs.get('publish')
        name = attrs.get('name')
        if models.Book.objects.filter(name=name, publish=publish):
            raise ValidationError({'book': '该书已存在'})
        return attrs

(5)视图层代码变动

class V2Book(APIView):
    # 查询
    def get(self, request, *args, **kwargs):
        primary_key = kwargs.get('primary_key')

        if not primary_key:
            book_obj_list = models.Book.objects.filter(is_delete=False).all()  # 查询所有没被删除的对象
            book_data = serializers.V2BookModelDeSerializer(book_obj_list, many=True).data
            return Response({
                'status': 0,
                'msg': 'ok',
                'results': book_data
            })

        try:
            book_obj = models.Book.objects.get(pk=primary_key, is_delete=False)
            book_data = serializers.V2BookModelDeSerializer(book_obj).data
        except:
            return Response({
                'msg': '查询错误 该书籍不存在',
                'status': 1
            })

        return Response({
            'status': 0,
            'msg': 'ok',
            'results': book_data
        })

    # 添加
    def post(self, request, *args, **kwargs):
        request_data = request.data
        if isinstance(request_data, dict) and request_data is not None:
            many = False   # 添加单条数据
        elif isinstance(request_data, list) and request_data is not None:
            many = True   # 添加多条数据
        else:
            return Response({
                'status': 1,
                'msg': '数据错误'
            })

        book_ser = serializers.V2BookModelDeSerializer(data=request_data, many=many)
        if book_ser.is_valid(raise_exception=True):   # 当前校验设备 立马终止程序运行 抛出异常
            book_results = book_ser.save()
            book_data = serializers.V2BookModelDeSerializer(book_results, many=many).data   # many = many一定加上 因为序列化的假设多个数据 还需要将参与序列化的数据给返回出去    
            return Response({
                'status': 0,
                'msg': 'ok',
                'results': book_data
            })

    def delete(self, request, *args, **kwargs):
        primary_key = kwargs.get('primary_key')
        data = request.data

        if primary_key:
            pks = [primary_key]   # 删除多条数据

        else:
            pks = data.get('pks')  # 获取前台传入的多个数据
            print(pks)
        book_obj = models.Book.objects.filter(pk__in=pks, is_delete=False)   # 判断后端的pk在不在上述列表中 且筛选没有被删除的字段

        if book_obj:
            book_obj.update(is_delete=True)
            return Response({
                'status': 1,
                'msg': '删除失败'
            })

        return Response({
            'status': 0,
            'msg': '删除成功',
        })

 (6)单条数据整体更改

    def put(self, request, *args, **kwargs):
        pk = kwargs.get('primary_key')  # 获取更改的对象的主键 通过主键进行筛选
 
        request_data = request.data  # 获取更改数据的值
        try:
            book_obj = models.Book.objects.filter(pk=pk).first()   # 进行异常捕获 防止前端输入的pk不是整形
        except:

            return Response(
                {
                    'status': 1,
                    'msg': '数据不存在',

                })
        '''
        instance:要更改的模型表实例化产生的对象
        data:要更改的数据
        '''

        book_ser = serializers.BookModelSerializer(instance=book_obj, data=request_data) 

        book_ser.is_valid(raise_exception=True)

        book_ser_obj = book_ser.save()
        data = serializers.BookModelSerializer(book_ser_obj).data
        return Response(
            {
                'status': 0,
                'msg': 'ok',
                'results': data
            }
        )

(7)单条局部修改

    def patch(self, request, *args, **kwargs):

        pk = kwargs.get('primary_key')

        request_data = request.data   # 要更改的数据
        try:

            book_obj = models.Book.objects.filter(pk=pk).first()  # 要更改模型表实例化的对象
        except:
            return Response(
                {
                    'status': 1,
                    'msg': '数据不存在',

                })

        '''
          instance:要更改模型表实例化的对象
          data:要更改的数据
          partial:设置部分字段可以选填
          '''
        book_ser = serializers.BookModelSerializer(instance=book_obj,data=request_data,partial=True)
        book_ser.is_valid(raise_exception=True)
        book_ser_obj = book_ser.save()
        data = serializers.BookModelSerializer(book_ser_obj).data
        return Response(
            {
                'status': 0,
                'msg': 'ok',
                'results': data
            }
        )

 (8)单改与局部整体修改

# 序列化层
class BookListSerializer(ListSerializer):
    def update(self, instance, validated_data):
        print(instance)  # 要更新的对象们
        print(validated_data)  # 更新的对象对应的数据们
        print(self.child)  # 服务的模型序列化类 - BookModelSerializer
        for index, obj in enumerate(instance):
            self.child.update(obj, validated_data[index])   # 获取需要更新的对象 以及更新的数据
        return instance

class BookModelSerializer(ModelSerializer):


    class Meta:
        # 群改,需要设置 自定义ListSerializer,重写群改的 update 方法
        list_serializer_class = BookListSerializer

PS:

  (1)由于源码问题 我们需要自己定义ListSerializer的update方法

(9)视图层

    def patch(self, request, *args, **kwargs):
        pk = kwargs.get('primary_key')

        request_data = request.data  # [{'pk': 1, 'name': 123}, {'pk': 3, 'price': 7}, {'pk': 7, 'publish': 2}] 前台传入的数据

        if pk and isinstance(request_data, dict):
            pks = [pk, ]
            request_data = [request_data, ]
        elif not pk and isinstance(request_data, list):
            pks = []   # 定义个一个空列表存放主键值
            for dic in request_data:
                pk = dic.pop('pk', None)   # for循环上述数据 将主键传入上述列表 如果设置none防止主键不存在
                if not pk:
                    return Response(
                        {
                            'status': 2,
                            'msg': '数据错误'
                        }
                    )
                pks.append(pk)   # 将主键加入上述列表
        else:
            return Response(
                {
                    'status': 1,
                    'msg': "数据查询错误"
                }
            )

        objs = []   # 存放序列化的对象
        new_request_data = []   # 存放需要反序列化的数据

        for index, pk in enumerate(pks):
            try:    # 防止主键不存在
                obj = models.Book.objects.get(pk=pk,is_delete=False)
                objs.append(obj)
                new_request_data.append(request_data[index])   # 上述pks都是合法的主键 通过获取主键的索引 然后去原数据取值
            except:  # 主键不存在 直接跳出本次循环 进入下一次循环
                #  重点:反面教程 - pk对应的数据有误,将对应索引的data中request_data中移除
                # index = pks.index(pk)
                # request_data.pop(index)
                continue

        book_ser = serializers.BookModelSerializer(instance=objs, data=new_request_data, many=True, partial=True)
        book_ser.is_valid(raise_exception=True)
        book_obj = book_ser.save()
        data = serializers.BookModelSerializer(book_obj, many=True).data

        return Response({
            'status': 0,
            'msg': "ok",
            "results": data
        })

 四:视图类与序列化类传参

(1)作用:

  (1)某些序列化类可能会需要视图层的数据

  (2)context可以让序列化类获取视图类内部的参数

(2)使用方式

  (1)视图类在序列化的时候传入context的方法

  (2)序列化类通过self.context拿到传入的数据

(3)视图类

class Book(APIView):
    def post(self, request, *args, **kwargs):
        book_ser = serializers.BookModelSerializer(data=request_data,context={'request':request})
        book_ser.is_valid(raise_exception=True)
        book_result = book_ser.save()
        return Response({
            'status': 0,
            'msg': 'ok',
            'results': serializers.BookModelSerializer(book_result).data
        })

(4)序列化类

class BookModelSerializer(ModelSerializer):
    class Meta:
        model = models.Book
        fields = ('name', 'price')
    def validate_name(self, value):
        print(self.context.get('request').method)   # 拿到后端使用的方法
        return value

五:Reponse封装

from rest_framework.response import Response


class APIResponse(Response):
    '''
    data_status:数据状态码
    data_msg:数据返回消息
    headers:请求头
    results:响应结果
    exception:报错信息
    http_status:http状态码
    kwargs:后端是否传入额外数据 例如token等


    '''

    def __init__(self, data_status=0, data_msg='ok', headers=None, results=None, exception=False, http_status=None,
                 **kwargs):
        data = {
            'status': data_status,
            'msg': data_msg
        }

        '''
        Response({
        'status': 0,
        'msg': 'ok',
        'results': [],
        'token': ''  # 有这样的额外的key-value数据结果
        },status=http_status,headers=headers,exception=True|False)

         APIResponse() => Response({'status': 0,'msg': 'ok'})
#
#

        '''

        # 判断是否有返回结果 如果有则返回
        if results is not None:
            data['results'] = results

        # 判断后端时候给序列化传额外数据
        if kwargs is not None:
            data.update(kwargs)

        super().__init__(data=data, status=http_status, exception=exception, headers=headers)



"""
Response({
    'status': 0,
    'msg': 'ok',
    'results': [],
    'token': ''  # 有这样的额外的key-value数据结果
},status=http_status,headers=headers,exception=True|False)

APIResponse() => Response({'status': 0,'msg': 'ok'})
"""

 

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