search
HomeBackend DevelopmentPython TutorialPython的Django框架中URLconf相关的一些技巧整理

提供视图配置选项

如果你发布一个Django的应用,你的用户可能会希望配置上能有些自由度。 这种情况下,为你认为用户可能希望改变的配置选项添加一些钩子到你的视图中会是一个很好的主意。 你可以用额外URLconf参数实现。

一个应用中比较常见的可供配置代码是模板名字:

def my_view(request, template_name):
  var = do_something()
  return render_to_response(template_name, {'var': var})

了解捕捉值和额外参数之间的优先级 额外的选项

当冲突出现的时候,额外URLconf参数优先于捕捉值。 也就是说,如果URLconf捕捉到的一个命名组变量和一个额外URLconf参数包含的变量同名时,额外URLconf参数的值会被使用。

例如,下面这个URLconf:

from django.conf.urls.defaults import *
from mysite import views

urlpatterns = patterns('',
  (r'^mydata/(&#63;P<id>\d+)/$', views.my_view, {'id': 3}),
)

这里,正则表达式和额外字典都包含了一个 id 。硬编码的(额外字典的) id 将优先使用。 就是说任何请求(比如, /mydata/2/ 或者 /mydata/432432/ )都会作 id 设置为 3 对待,不管URL里面能捕捉到什么样的值。

聪明的读者会发现在这种情况下,在正则表达式里面写上捕捉是浪费时间的,因为 id 的值总是会被字典中的值覆盖。 没错,我们说这个的目的只是为了让你不要犯这样的错误。

调试模式中的特例

说到动态构建 urlpatterns,你可能想利用这一技术,在 Django 的调试模式下修改 URLconf 的行为。 为了做到这一点,只要在运行时检查 DEBUG 配置项的值即可,如:

from django.conf import settings
from django.conf.urls.defaults import *
from mysite import views

urlpatterns = patterns('',
  (r'^$', views.homepage),
  (r'^(\d{4})/([a-z]{3})/$', views.archive_month),
)

if settings.DEBUG:
  urlpatterns += patterns('',
    (r'^debuginfo/$', views.debug),
  )

在这个例子中,URL链接/debuginfo/ 只在你的 DEBUG 配置项设为 True 时才有效。

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
How do you append elements to a Python list?How do you append elements to a Python list?May 04, 2025 am 12:17 AM

ToappendelementstoaPythonlist,usetheappend()methodforsingleelements,extend()formultipleelements,andinsert()forspecificpositions.1)Useappend()foraddingoneelementattheend.2)Useextend()toaddmultipleelementsefficiently.3)Useinsert()toaddanelementataspeci

How do you create a Python list? Give an example.How do you create a Python list? Give an example.May 04, 2025 am 12:16 AM

TocreateaPythonlist,usesquarebrackets[]andseparateitemswithcommas.1)Listsaredynamicandcanholdmixeddatatypes.2)Useappend(),remove(),andslicingformanipulation.3)Listcomprehensionsareefficientforcreatinglists.4)Becautiouswithlistreferences;usecopy()orsl

Discuss real-world use cases where efficient storage and processing of numerical data are critical.Discuss real-world use cases where efficient storage and processing of numerical data are critical.May 04, 2025 am 12:11 AM

In the fields of finance, scientific research, medical care and AI, it is crucial to efficiently store and process numerical data. 1) In finance, using memory mapped files and NumPy libraries can significantly improve data processing speed. 2) In the field of scientific research, HDF5 files are optimized for data storage and retrieval. 3) In medical care, database optimization technologies such as indexing and partitioning improve data query performance. 4) In AI, data sharding and distributed training accelerate model training. System performance and scalability can be significantly improved by choosing the right tools and technologies and weighing trade-offs between storage and processing speeds.

How do you create a Python array? Give an example.How do you create a Python array? Give an example.May 04, 2025 am 12:10 AM

Pythonarraysarecreatedusingthearraymodule,notbuilt-inlikelists.1)Importthearraymodule.2)Specifythetypecode,e.g.,'i'forintegers.3)Initializewithvalues.Arraysofferbettermemoryefficiencyforhomogeneousdatabutlessflexibilitythanlists.

What are some alternatives to using a shebang line to specify the Python interpreter?What are some alternatives to using a shebang line to specify the Python interpreter?May 04, 2025 am 12:07 AM

In addition to the shebang line, there are many ways to specify a Python interpreter: 1. Use python commands directly from the command line; 2. Use batch files or shell scripts; 3. Use build tools such as Make or CMake; 4. Use task runners such as Invoke. Each method has its advantages and disadvantages, and it is important to choose the method that suits the needs of the project.

How does the choice between lists and arrays impact the overall performance of a Python application dealing with large datasets?How does the choice between lists and arrays impact the overall performance of a Python application dealing with large datasets?May 03, 2025 am 12:11 AM

ForhandlinglargedatasetsinPython,useNumPyarraysforbetterperformance.1)NumPyarraysarememory-efficientandfasterfornumericaloperations.2)Avoidunnecessarytypeconversions.3)Leveragevectorizationforreducedtimecomplexity.4)Managememoryusagewithefficientdata

Explain how memory is allocated for lists versus arrays in Python.Explain how memory is allocated for lists versus arrays in Python.May 03, 2025 am 12:10 AM

InPython,listsusedynamicmemoryallocationwithover-allocation,whileNumPyarraysallocatefixedmemory.1)Listsallocatemorememorythanneededinitially,resizingwhennecessary.2)NumPyarraysallocateexactmemoryforelements,offeringpredictableusagebutlessflexibility.

How do you specify the data type of elements in a Python array?How do you specify the data type of elements in a Python array?May 03, 2025 am 12:06 AM

InPython, YouCansSpectHedatatYPeyFeLeMeReModelerErnSpAnT.1) UsenPyNeRnRump.1) UsenPyNeRp.DLOATP.PLOATM64, Formor PrecisconTrolatatypes.

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 Tools

SublimeText3 Linux new version

SublimeText3 Linux new version

SublimeText3 Linux latest version

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

Dreamweaver Mac version

Dreamweaver Mac version

Visual web development tools

SecLists

SecLists

SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

VSCode Windows 64-bit Download

VSCode Windows 64-bit Download

A free and powerful IDE editor launched by Microsoft