search
HomeBackend DevelopmentPython Tutorial通过mod_python配置运行在Apache上的Django框架

为了配置基于 mod_python 的 Django,首先要安装有可用的 mod_python 模块的 Apache。 这通常意味着应该有一个 LoadModule 指令在 Apache 配置文件中。 它看起来就像是这样:

LoadModule python_module /usr/lib/apache2/modules/mod_python.so

Then, edit your Apache configuration file and add a directive that ties a specific URL path to a specific Django installation. 例如:

<Location "/">
  SetHandler python-program
  PythonHandler django.core.handlers.modpython
  SetEnv DJANGO_SETTINGS_MODULE mysite.settings
  PythonDebug Off
</Location>

要确保把 DJANGO_SETTINGS_MODULE 中的 mysite.settings 项目换成与你的站点相应的内容。

它告诉 Apache,任何在 / 这个路径之后的 URL 都使用 Django 的 mod_python 来处理。 它 将 DJANGO_SETTINGS_MODULE 的值传递过去,使得 mod_python 知道这时应该使用哪个配置。

注意这里使用 ```` 指令而不是 ```` 。 后者用于指向你的文件系统中的一个位置,然而 ````

System Message: WARNING/2 (<string>, line 403); backlink

Inline literal start-string without end-string.

System Message: WARNING/2 (<string>, line 403); backlink

Inline literal start-string without end-string.

System Message: WARNING/2 (<string>, line 403); backlink

Inline literal start-string without end-string.

System Message: WARNING/2 (<string>, line 403); backlink

Inline literal start-string without end-string.

System Message: ERROR/3 (<string>, line 405)

Unexpected indentation.

    指向一个 Web 站点的 URL 位置。 ````

  System Message: WARNING/2 (<string>, line 405); backlink

  Inline literal start-string without end-string.

  System Message: WARNING/2 (<string>, line 405); backlink

  Inline literal start-string without end-string.

Apache 可能不但会运行在你正常登录的环境中,也会运行在其它不同的用户环境中;也可能会有不同的文件路径或 sys.path。 你需要告诉 mod_python 如何去寻找你的项目及 Django 的位置。

PythonPath "['/path/to/project', '/path/to/django'] + sys.path"

你也可以加入一些其它指令,比如 PythonAutoReload Off 以提升性能。 查看 mod_python 文档获得详细的指令列表。

注意,你应该在成品服务器上设置 PythonDebug Off 。如果你使用 PythonDebug On 的话,在程序产生错误时,你的用户会看到难看的(并且是暴露的) Python 回溯信息。 如果你把 PythonDebug 置 On,当mod_python出现某些错误,你的用户会看到丑陋的(也会暴露某些信息)Python的对错误的追踪的信息。

重启 Apache 之后所有对你的站点的请求(或者是当你用了 指令后则是虚拟主机)都会由 Djanog 来处理。

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Python's Execution Model: Compiled, Interpreted, or Both?Python's Execution Model: Compiled, Interpreted, or Both?May 10, 2025 am 12:04 AM

Pythonisbothcompiledandinterpreted.WhenyourunaPythonscript,itisfirstcompiledintobytecode,whichisthenexecutedbythePythonVirtualMachine(PVM).Thishybridapproachallowsforplatform-independentcodebutcanbeslowerthannativemachinecodeexecution.

Is Python executed line by line?Is Python executed line by line?May 10, 2025 am 12:03 AM

Python is not strictly line-by-line execution, but is optimized and conditional execution based on the interpreter mechanism. The interpreter converts the code to bytecode, executed by the PVM, and may precompile constant expressions or optimize loops. Understanding these mechanisms helps optimize code and improve efficiency.

What are the alternatives to concatenate two lists in Python?What are the alternatives to concatenate two lists in Python?May 09, 2025 am 12:16 AM

There are many methods to connect two lists in Python: 1. Use operators, which are simple but inefficient in large lists; 2. Use extend method, which is efficient but will modify the original list; 3. Use the = operator, which is both efficient and readable; 4. Use itertools.chain function, which is memory efficient but requires additional import; 5. Use list parsing, which is elegant but may be too complex. The selection method should be based on the code context and requirements.

Python: Efficient Ways to Merge Two ListsPython: Efficient Ways to Merge Two ListsMay 09, 2025 am 12:15 AM

There are many ways to merge Python lists: 1. Use operators, which are simple but not memory efficient for large lists; 2. Use extend method, which is efficient but will modify the original list; 3. Use itertools.chain, which is suitable for large data sets; 4. Use * operator, merge small to medium-sized lists in one line of code; 5. Use numpy.concatenate, which is suitable for large data sets and scenarios with high performance requirements; 6. Use append method, which is suitable for small lists but is inefficient. When selecting a method, you need to consider the list size and application scenarios.

Compiled vs Interpreted Languages: pros and consCompiled vs Interpreted Languages: pros and consMay 09, 2025 am 12:06 AM

Compiledlanguagesofferspeedandsecurity,whileinterpretedlanguagesprovideeaseofuseandportability.1)CompiledlanguageslikeC arefasterandsecurebuthavelongerdevelopmentcyclesandplatformdependency.2)InterpretedlanguageslikePythonareeasiertouseandmoreportab

Python: For and While Loops, the most complete guidePython: For and While Loops, the most complete guideMay 09, 2025 am 12:05 AM

In Python, a for loop is used to traverse iterable objects, and a while loop is used to perform operations repeatedly when the condition is satisfied. 1) For loop example: traverse the list and print the elements. 2) While loop example: guess the number game until you guess it right. Mastering cycle principles and optimization techniques can improve code efficiency and reliability.

Python concatenate lists into a stringPython concatenate lists into a stringMay 09, 2025 am 12:02 AM

To concatenate a list into a string, using the join() method in Python is the best choice. 1) Use the join() method to concatenate the list elements into a string, such as ''.join(my_list). 2) For a list containing numbers, convert map(str, numbers) into a string before concatenating. 3) You can use generator expressions for complex formatting, such as ','.join(f'({fruit})'forfruitinfruits). 4) When processing mixed data types, use map(str, mixed_list) to ensure that all elements can be converted into strings. 5) For large lists, use ''.join(large_li

Python's Hybrid Approach: Compilation and Interpretation CombinedPython's Hybrid Approach: Compilation and Interpretation CombinedMay 08, 2025 am 12:16 AM

Pythonusesahybridapproach,combiningcompilationtobytecodeandinterpretation.1)Codeiscompiledtoplatform-independentbytecode.2)BytecodeisinterpretedbythePythonVirtualMachine,enhancingefficiencyandportability.

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

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

Hot Article

Hot Tools

Safe Exam Browser

Safe Exam Browser

Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

EditPlus Chinese cracked version

EditPlus Chinese cracked version

Small size, syntax highlighting, does not support code prompt function

ZendStudio 13.5.1 Mac

ZendStudio 13.5.1 Mac

Powerful PHP integrated development environment

PhpStorm Mac version

PhpStorm Mac version

The latest (2018.2.1) professional PHP integrated development tool

WebStorm Mac version

WebStorm Mac version

Useful JavaScript development tools