search
HomeBackend DevelopmentPython TutorialDetailed explanation of python using decorator to automatically register Tornado routing

First version

In this version, the RouterConfig object is first created, and its constructor creates tornado.web.Application() and assigns a value For self.Application, add the @app.route decorator on each Handler, which corresponds to the route object under RouterConfig, in which the Handler instance will be assigned to the handler parameter. Finally, the corresponding relationship between URL and Handler is added to the routing table, and the URL attribute is created in each Handler.

#!/usr/bin/env python
# _*_ coding:utf-8 _*_

# Created by 安生 on 2017/2/9

import tornado
import tornado.web
import tornado.ioloop

class RouterConfig:
 def __init__(self):
  self.Application = tornado.web.Application() # 创建路由对象

 def route(self, handler):
  self.Application.add_handlers('.*$', [(handler.URL, handler)]) # 路有关系映射添加到路由表中

app = RouterConfig() # 创建路由

@app.route
class MainHandler(tornado.web.RequestHandler):
 URL = r'/'

 def get(self, *args, **kwargs):
  self.write('Hello, 安生')

@app.route
class MainHandler(tornado.web.RequestHandler):
 URL = r'/hi'

 def get(self, *args, **kwargs):
  self.write('hi, 安生')

if __name__ == "__main__":
 app.Application.listen(8000)
 print("http://127.0.0.1:8000/")
 tornado.ioloop.IOLoop.instance().start()

Second version

Create a Route object, and then add a decorator to the Handler @route(r'/') , and pass in the URL, which corresponds to the url parameter in the __call__ method, and then add the route correspondence to the list in the form of ancestors , after all routes have been added, create the Tornado route object, then put the routing table into it, and finally complete the registration.

#!/usr/bin/env python
# _*_ coding:utf-8 _*_

# Created by 安生 on 2017/2/9

import tornado.ioloop
import tornado.web

class Route(object):
 """ 把每个URL与Handler的关系保存到一个元组中,然后追加到列表内,列表内包含了所有的Handler """

 def __init__(self):
  self.urls = list() # 路由列表

 def __call__(self, url, *args, **kwargs):
  def register(cls):
   self.urls.append((url, cls)) # 把路由的对应关系表添加到路由列表中
   return cls

  return register

route = Route() # 创建路由表对象

@route(r'/')
class MainHandler(tornado.web.RequestHandler):
 def get(self, *args, **kwargs):
  self.write('Hello, 安生')

@route(r'/hi')
class MainHandler(tornado.web.RequestHandler):
 def get(self, *args, **kwargs):
  self.write('hi, 安生')

application = tornado.web.Application(route.urls) # 创建app,并且把路有关系放入到Application对象中

if __name__ == '__main__':
 application.listen(8000)
 print("http://127.0.0.1:%s/" % 8000)
 tornado.ioloop.IOLoop.instance().start()

The third version

This version is also the version I am using now, the principles are the same , the feature here is to inherit the Tornado routing object

#!/usr/bin/env python
# _*_ coding:utf-8 _*_

# Created by 安生 on 2017/2/9

import tornado.web
import tornado.ioloop

class RouterConfig(tornado.web.Application):
 """ 重置Tornado自带的路有对象 """

 def route(self, url):
  """
  :param url: URL地址
  :return: 注册路由关系对应表的装饰器
  """

  def register(handler):
   """
   :param handler: URL对应的Handler
   :return: Handler
   """
   self.add_handlers(".*$", [(url, handler)]) # URL和Handler对应关系添加到路由表中
   return handler

  return register

app = RouterConfig(cookie_secret='ulb7bEIZmwpV545Z') # 创建Tornado路由对象,默认路由表为空

@app.route(r'/')
class MainHandler(tornado.web.RequestHandler):
 def get(self, *args, **kwargs):
  self.write('Hello, 安生')

@app.route(r'/hi')
class MainHandler(tornado.web.RequestHandler):
 def get(self, *args, **kwargs):
  self.write('hi, 安生')

if __name__ == "__main__":
 app.listen(8000)
 print("http://127.0.0.1:%s/" % 8000)
 tornado.ioloop.IOLoop.instance().start()

Test

In the above version, test The method and output are the same. You can use the requests module to simulate HTTP requests

>>> import requests
>>> requests.get('http://127.0.0.1:8000/').text
'Hello, 安生'
>>> requests.get('http://127.0.0.1:8000/hi').text
'hi, 安生'

More python uses decorators to automatically register Tornado routing related articles Please pay attention to PHP Chinese website!

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 are arrays used in scientific computing with Python?How are arrays used in scientific computing with Python?Apr 25, 2025 am 12:28 AM

ArraysinPython,especiallyviaNumPy,arecrucialinscientificcomputingfortheirefficiencyandversatility.1)Theyareusedfornumericaloperations,dataanalysis,andmachinelearning.2)NumPy'simplementationinCensuresfasteroperationsthanPythonlists.3)Arraysenablequick

How do you handle different Python versions on the same system?How do you handle different Python versions on the same system?Apr 25, 2025 am 12:24 AM

You can manage different Python versions by using pyenv, venv and Anaconda. 1) Use pyenv to manage multiple Python versions: install pyenv, set global and local versions. 2) Use venv to create a virtual environment to isolate project dependencies. 3) Use Anaconda to manage Python versions in your data science project. 4) Keep the system Python for system-level tasks. Through these tools and strategies, you can effectively manage different versions of Python to ensure the smooth running of the project.

What are some advantages of using NumPy arrays over standard Python arrays?What are some advantages of using NumPy arrays over standard Python arrays?Apr 25, 2025 am 12:21 AM

NumPyarrayshaveseveraladvantagesoverstandardPythonarrays:1)TheyaremuchfasterduetoC-basedimplementation,2)Theyaremorememory-efficient,especiallywithlargedatasets,and3)Theyofferoptimized,vectorizedfunctionsformathematicalandstatisticaloperations,making

How does the homogenous nature of arrays affect performance?How does the homogenous nature of arrays affect performance?Apr 25, 2025 am 12:13 AM

The impact of homogeneity of arrays on performance is dual: 1) Homogeneity allows the compiler to optimize memory access and improve performance; 2) but limits type diversity, which may lead to inefficiency. In short, choosing the right data structure is crucial.

What are some best practices for writing executable Python scripts?What are some best practices for writing executable Python scripts?Apr 25, 2025 am 12:11 AM

TocraftexecutablePythonscripts,followthesebestpractices:1)Addashebangline(#!/usr/bin/envpython3)tomakethescriptexecutable.2)Setpermissionswithchmod xyour_script.py.3)Organizewithacleardocstringanduseifname=="__main__":formainfunctionality.4

How do NumPy arrays differ from the arrays created using the array module?How do NumPy arrays differ from the arrays created using the array module?Apr 24, 2025 pm 03:53 PM

NumPyarraysarebetterfornumericaloperationsandmulti-dimensionaldata,whilethearraymoduleissuitableforbasic,memory-efficientarrays.1)NumPyexcelsinperformanceandfunctionalityforlargedatasetsandcomplexoperations.2)Thearraymoduleismorememory-efficientandfa

How does the use of NumPy arrays compare to using the array module arrays in Python?How does the use of NumPy arrays compare to using the array module arrays in Python?Apr 24, 2025 pm 03:49 PM

NumPyarraysarebetterforheavynumericalcomputing,whilethearraymoduleismoresuitableformemory-constrainedprojectswithsimpledatatypes.1)NumPyarraysofferversatilityandperformanceforlargedatasetsandcomplexoperations.2)Thearraymoduleislightweightandmemory-ef

How does the ctypes module relate to arrays in Python?How does the ctypes module relate to arrays in Python?Apr 24, 2025 pm 03:45 PM

ctypesallowscreatingandmanipulatingC-stylearraysinPython.1)UsectypestointerfacewithClibrariesforperformance.2)CreateC-stylearraysfornumericalcomputations.3)PassarraystoCfunctionsforefficientoperations.However,becautiousofmemorymanagement,performanceo

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

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.

ZendStudio 13.5.1 Mac

ZendStudio 13.5.1 Mac

Powerful PHP integrated development environment

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

MinGW - Minimalist GNU for Windows

MinGW - Minimalist GNU for Windows

This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

WebStorm Mac version

WebStorm Mac version

Useful JavaScript development tools