导航:VS2019开发Django系列

上篇我们已经把LazyOrders中用到的C#的实体转成了Django中的Entity,并且已经迁移数据库成功,那么,今天继续介绍Django中内置的数据库操作Api以及新建超级用户。

1)初试API,打开Django shell

输入如下命令:然后查看数据库中的数据,我们可以看到What's new?成功保存到了数据库中,更多的操作可以直接参考官方文档:

#导入models
>>> from hello.models import Choice,Question
#从数据库查询所有的Question
>>> Question.objects.all()
#没有查到数据
<QuerySet []>
#导入时区模块
>>> from django.utils import timezone
#创建了一个名为q的Question对象
>>> q = Question(question_text="What's new?",pub_date=timezone.now())
#将q对象保存到数据库中
>>> q.save()

根据主键查询:

>>> from hello.models import Question
>>> q = Question.objects.get(pk=2)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "D:\项目\local\DjangoLazyOrders\env\lib\site-packages\django\db\models\manager.py", line 82, in manager_method
return getattr(self.get_queryset(), name)(*args, **kwargs)
File "D:\项目\local\DjangoLazyOrders\env\lib\site-packages\django\db\models\query.py", line 408, in get
self.model._meta.object_name
hello.models.Question.DoesNotExist: Question matching query does not exist.
>>> q = Question.objects.get(pk=1)
>>> q.id
1
>>> q.was_published_recently()
False
>>>

根据其他条件查询:

>>> questions = Question.objects.filter(question_text__startswith='What')
>>> questions
<QuerySet [<Question: What's new?>, <Question: What's your problem?>]>
>>> questions[1]
<Question: What's your problem?>
>>> questions[1].question_text
"What's your problem?"
>>>

执行原生Sql:注意百分号要转义,%%

>>> from hello.models import Question
>>> query = Question.objects.raw("select * from hello_question where question_text like '%%python%%'")
>>> for q in query:
... print(q)
...
python从入门到放弃
>>>

2)创建超级用户

输入用户名,邮箱,密码即可,创建完成后,点运行,然后在跳转的地址http://localhost:8090/后面追加admin回车,就会跳转到Django的管理登录页,输入我们刚刚创建的用户名和密码,即可登录

aaarticlea/png;base64,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" alt="" />

aaarticlea/png;base64,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" alt="" />

登录进去之后,我们会看到认证和授权相关的内容,这是框架提供的,但是,我们自己添加的Hello应用并没有展示出来?

3)向管理页中加入我们的hello应用

找到我们hello应用下面的admin.py文件,向里边添加内容如下:

from django.contrib import admin

# Register your models here.
from .models import Question,Choice,Category,Menu,Carts,Orders admin.site.register(Question)
admin.site.register(Choice)
admin.site.register(Category)
admin.site.register(Menu)
admin.site.register(Carts)
admin.site.register(Orders)

再次启动,重新访问admin页面,我们的hello应用中添加的实体都展示出来了,对比发现,除了Category是中文类别之外,其他都是英文的,对比源代码就知道Category添加了Meta类,其中verbose_name_plural 赋值了中文‘类别’,所以管理页显示为中文,那么,如果字段要显示中文,可以设置verbose_name的值为中文

#类别表
class Category(models.Model):
category_id = models.AutoField(primary_key=True,verbose_name='类别ID')
category_name = models.CharField(max_length=30,verbose_name='类别名')
def __str__(self):
return self.category_name
class Meta:
verbose_name_plural = '类别' #菜单表
class Menu(models.Model):
menu_id = models.AutoField(primary_key=True,verbose_name='菜单ID')
category = models.ForeignKey(Category,on_delete=models.CASCADE)
menu_name = models.CharField(max_length=50,verbose_name='菜单名')
img_path = models.CharField(max_length=100,verbose_name='图片路径',default='')
price = models.DecimalField(max_digits=5, decimal_places=2)

4)总结

  • 该篇主要介绍了Django中的ORM怎么增删查改数据库
  • 创建了超级用户,并完成了配置,可以对我们新增加的Model增删查改

到这一步,后台管理基本就可以了,增删查改都有了,还有一个图片上传需要完善,待续...

VS2019 开发Django(五)------createsuperuser的更多相关文章

  1. VS2019 开发Django(二)------hello world!

    导航:VS2019开发Django系列 第一篇介绍了安装Django,那么,今天的主题内容是使用VS编写第一个Django应用. 1)新建Django Web项目 选择新建Django Web项目,在 ...

  2. VS2019 开发Django(一)------环境配置

    导航:VS2019开发Django系列 缘起:学习是我一直在做的一件事情,但是,可怕的是不知道学习什么,然后止步不前,安于现状,曾经很长的一段时间,我是不知道学习什么,工作上的事情,其实是相对固定的, ...

  3. VS2019 开发Django(十一)------表单

    导航:VS2019开发Django系列 今天是中华人民共和国成立70周年的日子,普天同庆,看阅兵看得满腔热血,热泪盈眶,祖国都这么优秀了,我要更加努力才行啊! 这个Django系列的文章,没有很深入的 ...

  4. VS2019 开发Django(十)------JavaScript与Django的数据交互

    导航:VS2019开发Django系列 这一篇介绍如何使用BootStrap Table这个组件来绑定渲染数据, 1)先来看一下BootStrap Table是怎么绑定数据的. 通过数据属性 给定da ...

  5. VS2019 开发Django(九)------内置模板和过滤器

    导航:VS2019开发Django系列 紧接上篇,继续介绍Django中的模板,考虑可能篇幅过长,所以分为两部分来讲,今天的主要内容: 1)内置模板和过滤器 母版,继承关系.头部导航和页脚,是需要与其 ...

  6. VS2019 开发Django(八)------视图

    导航:VS2019开发Django系列 这几天学习了一下Django的视图和模板,从这几天的学习进度来看,视图这里并没有花很多的时间,相反的,模板花费了大量的时间,主要原因还是因为对Jquery操作d ...

  7. VS2019 开发Django(六)------Admin中图片上传

    导航:VS2019开发Django系列 该篇继续完善在Django的管理界面上传图片,因为LazyOrders小程序中菜单需要展示图片,而不是一个文本路径,所以我们还需要继续改造一下. 1)安装pil ...

  8. VS2019 开发Django(四)------models

    导航:VS2019开发Django系列 继上篇我们匆匆迁移数据库成功之后,又花了一个晚上研究了Django的模型,这里的模型其实就是ORM模型中的Entity,.Net里边用的比较多的有Entity ...

  9. VS2019 开发Django(三)------连接MySQL

    导航:VS2019开发Django系列 下班回到家,洗漱完毕,夜已深.关于Django这个系列的博文,我心中的想法就是承接之前的微信小程序的内容,做一个服务端的管理中心,上新菜单,调整价格啊!之类的, ...

随机推荐

  1. 深入浅出Spring(三)

    我为大家简单介绍了一下Spring框架核心内容中的IoC,接下来我们继续讲解另一个核心AOP(Aspect Oriented Programming),即面向切面编程. 1.OOP回顾 在介绍AOP之 ...

  2. 交互程序 Scanner类

    交互程序 1. Scanner类是标准Java类库的类 (1)提供一些方法用于交互式读入不同类型的输入数据,输入可以是不同的数据源,包括用户键入的数据和保存在文件中的数据(怎么弄). (2)将一个字符 ...

  3. KFC-位置分页爬虫

    import requests import json if name == 'main': #记录总数 raw_count=0 #查询页数 page=1 #存储数据 data=[] #判断有无数据条 ...

  4. rsync工具、rsync常用选项、以及rsync通过ssh同步 使用介绍

    第8周5月14日任务 课程内容: 10.28 rsync工具介绍10.29/10.30 rsync常用选项10.31 rsync通过ssh同步 10.28 rsync工具介绍 rsync是一个同步的工 ...

  5. Delphi - 调用SuperDll 持续更新

    调用SuperDll 接上一篇Delphi创建Superdll,将生成的SuperDll.dll文件复制到本工程路径下,创建如下代码进行Superdll各个接口的测试. 创建uSuperDll.pas ...

  6. 【LiteOS】LiteOS移植常见问题

    发现很多人在LiteOS的移植过程中总会遇到一些问题,现在简单做一些总结.后续有新的问题提再继续补充. 1.CMSIS版本导致的问题 问题现象一般如下图所示,编译后报错,Undefined symbo ...

  7. Python一秒搭建ftp服务器,帮助你在局域网共享文件

    "老板 来碗面" "要啥面?" "内牛满面.." 最近项目上的事情弄得人心累,本来是帮着兄弟项目写套入口代码,搞着搞着就被拉着入坑了.搞开发 ...

  8. 关于CSS选择器连续性的问题

    在html中有以下结构: --- ----- <div class="row100"> <div class="col"> <di ...

  9. ajax异步请求的三种常见方式

    首先先介绍下ajax,ajax(ASynchronous JavaScript And XML)为异步的javascript和xml.所谓的异步和同步是指: 同步:客户端必须等待服务器的响应,在等待期 ...

  10. 实现一个简单的散列表(HashMap)

    下面参考java.util.HashMap<K, V>,写了一个简单的散列表,只实现了其中的put和get方法,使用链接法"碰撞冲突".代码最后,自定义了一个Peopl ...