## django,多对多,序列化组件,ORM批量操作数据,自定义分页器 ## 多对多三种创建方式 ### 1.全自动 ```python class Book(models.Model): title = models.CharField(max_length=32) authors = models.ManyToManyField(to='Author') class Author(models.Model): name = models.CharField(max_length=32) ``` 优势:自动创建第三张表 并且提供了add,remove,set,clear四种操作 劣势:第三张表无法创建更多的字段 扩展性较差 ### 2.纯手动 ```python class Book(models.Model): title = models.CharField(max_length=32) class Author(models.Model): name = models.CharField(max_length=32) class Book2Author(models.Model): book = models.ForeignKey(to='Book') author = models.ForeignKey(to='Author') others = models.CharField(max_length=32) join_time = models.DateField(auto_now_add=True) ``` 优势:第三张表完全由自己创建 扩展性强 劣势:编写繁琐 并且不在支持add,remove,set,clear以及正反向概念 ### 3.半自动 ```python class Book(models.Model): title = models.CharField(max_length=32) authors = models.ManyToManyField(to='Author', through='Book2Author', through_fields=('book','author') ) class Author(models.Model): name = models.CharField(max_length=32) class Book2Author(models.Model): book = models.ForeignKey(to='Book', on_delete=models.CASCADE) author = models.ForeignKey(to='Author', on_delete=models.CASCADE) others = models.CharField(max_length=32) join_time = models.DateField(auto_now_add=True) ``` 优势:第三表完全由自己创建扩展性强 正反向概念依然清晰可用 劣势:不在支持add,remove,set,clear ## django内置序列化组件(drf前身) 前后端分离的项目 视图函数只需要返回json格式的数据即可 ```python from app01 import models from django.http import JsonResponse def ab_ser_func(request): # 1.查询所有的书籍对象 book_queryset = models.Book.objects.all() # queryset [对象、对象] # 2.封装成大字典返回 data_dict = {} for book_obj in book_queryset: temp_dict = {} temp_dict['pk'] = book_obj.pk temp_dict['title'] = book_obj.title temp_dict['price'] = book_obj.price temp_dict['info'] = book_obj.info data_dict[book_obj.pk] = temp_dict # {1:{},2:{},3:{},4:{}} return JsonResponse(data_dict) ``` ### 序列化组件(django自带 后续drf) ```python # 导入内置序列化模块 from django.core import serializers # 调用模块下的序列化方式,第一个参数是想以什么样的方式序列化数据 res = serializers.serialize('json',book_query) return HttpResponse(res) ``` ## 批量操作数据 ```python def ab_bk_func(request): # 1.往books表中插入10万条数据 # for i in range(1, 100000): # models.Books.objects.create(title='第%s本书' % i) """直接循环插入 10s 500条左右""" ``` ### 采用ORM的批量插入 ```python data_list = [] for data in range(100000): user_obj = models.TestData(title='第%s本' % data)# 单纯的用类名加括号产生对象 data_list.append(user_obj) # 批量插入数据 models.TestData.objects.bulk_create(data_list) """使用orm提供的批量插入操作 5s 10万条左右""" res_query = models.TestData.objects.all() # 2.查询出所有的表中并展示到前端页面 return render(request, 'showPage.html', locals()) ```  ## 分页器思路 分页器主要是处理逻辑 代码很简单 推导流程 1.queryset支持切片操作(正数) 2.研究各个参数之间的数学关系:每页固定展示多少条数据、起始位置、终止位置 3.自定义页码参数 current_page = request.GET.get('page') 4.前端展示分页器样式 5.总页码数问题 divmod问题 6.前端页码个数渲染问题 后端产生 前端渲染 7.queryset数据做切片的时候不用考虑,索引超出,超出默认不取 ```python def fenye_func(request): try: page = int(request.GET.get('page')) page -= 1 except Exception: page = 0 conent_num = 10 book_query = models.TestData.objects.all() all_obj_nums = book_query.count() all_num, yushu = divmod(all_obj_nums, conent_num) if page < 0 or page > all_num: page = 0 start_num = page * 10 end_num = (page + 1) * 10 print(start_num,end_num) if yushu: all_num +=1 page +=1 res_query = book_query[start_num:end_num] return render(request, 'showPage.html', locals()) ``` ```python {% for res_obj in res_query %} {{ res_obj.title }} {% endfor %} 总页数{{ all_num }} 当前页数{{ page }} ``` ## 自定义分页器的使用 django自带的分页器模块但是使用起来很麻烦 所有我们自己封装了一个 ```python def ab_pg_func(request): book_queryset = models.Books01.objects.all() from app01.utils.mypage import Pagination current_page = request.GET.get('page') page_obj = Pagination(current_page=current_page, all_count=book_queryset.count()) page_queryset = book_queryset[page_obj.start:page_obj.end] return render(request, 'pgPage.html', locals()) {% for book_obj in page_queryset %} {{ book_obj.title }} {% endfor %} {{ page_obj.page_html|safe }} ``` Last modification:December 27th, 2022 at 09:26 pm © 允许规范转载 Support 如果觉得我的文章对你有用,请随意赞赏 ×Close Appreciate the author Sweeping payments
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