Python的Django框架中TEMPLATES项的设置教程
TEMPLATES
Django 1.8的新特性
一个列表,包含所有在Django中使用的模板引擎的设置。列表中的每一项都是一个字典,包含某个引擎的选项。
以下是一个简单的设定,告诉Django模板引擎从已安装的应用程序(installed applications)的templates子目录中读取模板:
TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'APP_DIRS': True, }, ]
以下选项对所有引擎(backends)都可用。
BACKEND
默认:无定义
使用的模板引擎。内建的模板引擎有:
'django.template.backends.django.DjangoTemplates' 'django.template.backends.jinja2.Jinja2'
通过设置BACKEND为一个完整的(fully-qualified)路径(例如'mypackage.whatever.Backend'),你可以使用非Django自带的引擎。
NAME
默认:看下面
该模板引擎的别名。它是一个标识符,让你在渲染时可以选择一个引擎。别名在所有配置好的模板引擎中必须是唯一的。
当未提供值时,默认是定义引擎类的模板名,也即是与BACKEND相邻的最后一部分。
例如如果引擎是'mypackage.whatever.Backend',那么它的默认名为'whatever'。
DIRS
默认:[](空列表)
引擎用于查找模板源文件的目录,按搜索顺序排列。
APP_DIRS
默认:False
引擎是否在已安装应用程序(的目录)内查找模板源文件。
OPTIONS
默认:{}(空字典)
传递给该模板引擎(backend)的其他参数。不同的引擎,可用的参数不一样。
TEMPLATE_CONTEXT_PROCESSORS
默认:
("django.contrib.auth.context_processors.auth", "django.template.context_processors.debug", "django.template.context_processors.i18n", "django.template.context_processors.media", "django.template.context_processors.static", "django.template.context_processors.tz", "django.contrib.messages.context_processors.messages")
自1.8版本起,不赞成使用:
在一个DjangoTemplates引擎中的OPTIONS设置'context_processors'选项来代替。
用于填充在RequestContext中的上下文的调用函数(callables)的元组。这些函数获取一个request对象作为它的参数,返回一个将要填充至上下文项目的字典。
- Django 1.8的变化:
- 在Django 1.8中,内建模板的上下文处理器从django.core.context_processors移至django.template.context_processors。
TEMPLATE_DEBUG
默认:False
- 自1.8版本起,不赞成使用:
- 在一个DjangoTemplates引擎中的OPTIONS设置'debug' 选项来代替。
一个打开/关闭模板调试模式的布尔值。如果值是True,在模板渲染期间,抛出任何异常都将显示一个可爱的、详情报告的错误页面。该页面包含该模板相关的代码段,并且使用适当的行高亮。
注意如果DEBUG是True,Django只会显示可爱的错误页面。
参见 DEBUG。
TEMPLATE_DIRS
默认:()(空列表)
- 自1.8版本起,不赞成使用:
- 在一个DjangoTemplates引擎中设置'DIRS'选项来代替。
django.template.loaders.filesystem.Loader搜索模板源代码的路径列表,,按搜索顺序排列。
注意即使在Windows中,这些路径也是使用Unix风格的正斜杠。
参见 The Django template language 。
TEMPLATE_LOADERS
默认:
('django.template.loaders.filesystem.Loader', 'django.template.loaders.app_directories.Loader')
- 自1.8版本起,不赞成使用:
- 在一个DjangoTemplates引擎中的OPTIONS设置'loader'选项来代替。
模板读取器类的元组,用字符串指定。每个读取器类知道怎样从一个特定源(particular source)中导入模板。可选地,也可以使用一个元组来代替使用一个字符串。元组中的第一项应该是读取器的模块,随后的项是在初始化时传递给读取器。参见 The Django template language: for Python programmers。
TEMPLATE_STRING_IF_INVALID
默认:''(空字符串)
- 自1.8版本起,不赞成使用:
- 在一个DjangoTemplates引擎中的OPTIONS设置'string_if_invalid' 选项来代替。
当使用了不可用的(比如说拼写错误)变量时模板系统输出的字符串。参见 How invalid variables are handled。

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

To run Python code in Sublime Text, you need to install the Python plug-in first, then create a .py file and write the code, and finally press Ctrl B to run the code, and the output will be displayed in the console.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

Golang is better than Python in terms of performance and scalability. 1) Golang's compilation-type characteristics and efficient concurrency model make it perform well in high concurrency scenarios. 2) Python, as an interpreted language, executes slowly, but can optimize performance through tools such as Cython.

Writing code in Visual Studio Code (VSCode) is simple and easy to use. Just install VSCode, create a project, select a language, create a file, write code, save and run it. The advantages of VSCode include cross-platform, free and open source, powerful features, rich extensions, and lightweight and fast.

Running Python code in Notepad requires the Python executable and NppExec plug-in to be installed. After installing Python and adding PATH to it, configure the command "python" and the parameter "{CURRENT_DIRECTORY}{FILE_NAME}" in the NppExec plug-in to run Python code in Notepad through the shortcut key "F6".
