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技术 2022年11月16日
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我们已经编写了博客数据库模型的代码,但那还只是 Python 代码而已,Django 还没有把它翻译成数据库语言,因此实际上这些数据库表还没有真正的在数据库中创建

为了让 Django 完成翻译,创建好这些数据库表,我们再一次请出我的工程管理助手 manage.py。激活虚拟环境,切换到 manage.py 文件所在的目录下,分别运行 python manage.py makemigrations 和 python manage.py migrate 命令。运行第一个命令后,会在 blog 应用的 migrations\ 目录下生成了一个 0001_initial.py 文件,这个文件是 Django 用来记录我们对模型做了哪些修改的文件。目前来说,我们在 models.py 文件里创建了 3 个模型类,Django 把这些变化记录在了 0001_initial.py 里。

输入第一个命令时如图(应用blog已在setting中model数据模型已建立)

<img src="data:image/png;base64,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" alt="" />

百度后,试了下下面的

<img src="data:image/png;base64,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" 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用 Django 的方式操作数据库

存数据(这打开了一个交互式命令行。首先我们来创建一个分类和一个标签,导入 3 个之前写好的模型类,然后实例化了一个 Category 类和一个 Tag 类,为他们的属性 name 赋了值。为了让 Django 把这些数据保存进数据库,调用实例的 save 方法即可。)

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src="data:image/png;base64,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" 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再创建一篇文章试试,但创建文章之前,我们需要先创建一个 User,用于指定文章的作者。创建 User 的命令 Django 已经帮我们写好了,依然是通过 manage.py 来运行。首先按住 Ctrl + c 退出命令交互栏(一次退不出就连续多按几次),运行 python manage.py createsuperuser 命令并根据提示创建用户:(用户名user,密码8位)

<img src="data:image/png;base64,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" alt="" />

再次运行 python manage.py shell 进入 Python 命令交互栏,开始创建文章:

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