欧美bbbwbbbw肥妇,免费乱码人妻系列日韩,一级黄片

使用Python的Twisted框架編寫非阻塞程序的代碼示例

 更新時(shí)間:2016年05月25日 11:36:31   作者:flyking  
Twisted是基于異步模式的開(kāi)發(fā)框架,因而利用Twisted進(jìn)行非阻塞編程自然也是必會(huì)的用法,下面我們就來(lái)一起看一下使用Python的Twisted框架編寫非阻塞程序的代碼示例:

先來(lái)看一段代碼:

# ~*~ Twisted - A Python tale ~*~

from time import sleep

# Hello, I'm a developer and I mainly setup Wordpress.
def install_wordpress(customer):
  # Our hosting company Threads Ltd. is bad. I start installation and...
  print "Start installation for", customer
  # ...then wait till the installation finishes successfully. It is
  # boring and I'm spending most of my time waiting while consuming
  # resources (memory and some CPU cycles). It's because the process
  # is *blocking*.
  sleep(3)
  print "All done for", customer

# I do this all day long for our customers
def developer_day(customers):
  for customer in customers:
    install_wordpress(customer)

developer_day(["Bill", "Elon", "Steve", "Mark"])

運(yùn)行一下,結(jié)果如下所示:

$ ./deferreds.py 1
------ Running example 1 ------
Start installation for Bill
All done for Bill
Start installation
...
* Elapsed time: 12.03 seconds

這是一段順序執(zhí)行的代碼。四個(gè)消費(fèi)者,為一個(gè)人安裝需要3秒的時(shí)間,那么四個(gè)人就是12秒。這樣處理不是很令人滿意,所以看一下第二個(gè)使用了線程的例子:

import threading

# The company grew. We now have many customers and I can't handle the
# workload. We are now 5 developers doing exactly the same thing.
def developers_day(customers):
  # But we now have to synchronize... a.k.a. bureaucracy
  lock = threading.Lock()
  #
  def dev_day(id):
    print "Goodmorning from developer", id
    # Yuck - I hate locks...
    lock.acquire()
    while customers:
      customer = customers.pop(0)
      lock.release()
      # My Python is less readable
      install_wordpress(customer)
      lock.acquire()
    lock.release()
    print "Bye from developer", id
  # We go to work in the morning
  devs = [threading.Thread(target=dev_day, args=(i,)) for i in range(5)]
  [dev.start() for dev in devs]
  # We leave for the evening
  [dev.join() for dev in devs]

# We now get more done in the same time but our dev process got more
# complex. As we grew we spend more time managing queues than doing dev
# work. We even had occasional deadlocks when processes got extremely
# complex. The fact is that we are still mostly pressing buttons and
# waiting but now we also spend some time in meetings.
developers_day(["Customer %d" % i for i in xrange(15)])

運(yùn)行一下:

$ ./deferreds.py 2
------ Running example 2 ------
Goodmorning from developer 0Goodmorning from developer
1Start installation forGoodmorning from developer 2
Goodmorning from developer 3Customer 0
...
from developerCustomer 13 3Bye from developer 2
* Elapsed time: 9.02 seconds

這次是一段并行執(zhí)行的代碼,使用了5個(gè)工作線程。15個(gè)消費(fèi)者每個(gè)花費(fèi)3s意味著總共45s的時(shí)間,不過(guò)用了5個(gè)線程并行執(zhí)行總共只花費(fèi)了9s的時(shí)間。這段代碼有點(diǎn)復(fù)雜,很大一部分代碼是用于管理并發(fā),而不是專注于算法或者業(yè)務(wù)邏輯。另外,程序的輸出結(jié)果看起來(lái)也很混雜,可讀性也天津市。即使是簡(jiǎn)單的多線程的代碼同樣也難以寫得很好,所以我們轉(zhuǎn)為使用Twisted:

# For years we thought this was all there was... We kept hiring more
# developers, more managers and buying servers. We were trying harder
# optimising processes and fire-fighting while getting mediocre
# performance in return. Till luckily one day our hosting
# company decided to increase their fees and we decided to
# switch to Twisted Ltd.!

from twisted.internet import reactor
from twisted.internet import defer
from twisted.internet import task

# Twisted has a slightly different approach
def schedule_install(customer):
  # They are calling us back when a Wordpress installation completes.
  # They connected the caller recognition system with our CRM and
  # we know exactly what a call is about and what has to be done next.
  #
  # We now design processes of what has to happen on certain events.
  def schedule_install_wordpress():
      def on_done():
        print "Callback: Finished installation for", customer
    print "Scheduling: Installation for", customer
    return task.deferLater(reactor, 3, on_done)
  #
  def all_done(_):
    print "All done for", customer
  #
  # For each customer, we schedule these processes on the CRM
  # and that
  # is all our chief-Twisted developer has to do
  d = schedule_install_wordpress()
  d.addCallback(all_done)
  #
  return d

# Yes, we don't need many developers anymore or any synchronization.
# ~~ Super-powered Twisted developer ~~
def twisted_developer_day(customers):
  print "Goodmorning from Twisted developer"
  #
  # Here's what has to be done today
  work = [schedule_install(customer) for customer in customers]
  # Turn off the lights when done
  join = defer.DeferredList(work)
  join.addCallback(lambda _: reactor.stop())
  #
  print "Bye from Twisted developer!"
# Even his day is particularly short!
twisted_developer_day(["Customer %d" % i for i in xrange(15)])

# Reactor, our secretary uses the CRM and follows-up on events!
reactor.run()

運(yùn)行結(jié)果:

------ Running example 3 ------
Goodmorning from Twisted developer
Scheduling: Installation for Customer 0
....
Scheduling: Installation for Customer 14
Bye from Twisted developer!
Callback: Finished installation for Customer 0
All done for Customer 0
Callback: Finished installation for Customer 1
All done for Customer 1
...
All done for Customer 14
* Elapsed time: 3.18 seconds

這次我們得到了完美的執(zhí)行代碼和可讀性強(qiáng)的輸出結(jié)果,并且沒(méi)有使用線程。我們并行地處理了15個(gè)消費(fèi)者,也就是說(shuō),本來(lái)需要45s的執(zhí)行時(shí)間在3s之內(nèi)就已經(jīng)完成。這個(gè)竅門就是我們把所有的阻塞的對(duì)sleep()的調(diào)用都換成了Twisted中對(duì)等的task.deferLater()和回調(diào)函數(shù)。由于現(xiàn)在處理的操作在其他地方進(jìn)行,我們就可以毫不費(fèi)力地同時(shí)服務(wù)于15個(gè)消費(fèi)者。
前面提到處理的操作發(fā)生在其他的某個(gè)地方?,F(xiàn)在來(lái)解釋一下,算術(shù)運(yùn)算仍然發(fā)生在CPU內(nèi),但是現(xiàn)在的CPU處理速度相比磁盤和網(wǎng)絡(luò)操作來(lái)說(shuō)非???。所以給CPU提供數(shù)據(jù)或者從CPU向內(nèi)存或另一個(gè)CPU發(fā)送數(shù)據(jù)花費(fèi)了大多數(shù)時(shí)間。我們使用了非阻塞的操作節(jié)省了這方面的時(shí)間,例如,task.deferLater()使用了回調(diào)函數(shù),當(dāng)數(shù)據(jù)已經(jīng)傳輸完成的時(shí)候會(huì)被激活。
另一個(gè)很重要的一點(diǎn)是輸出中的Goodmorning from Twisted developer和Bye from Twisted developer!信息。在代碼開(kāi)始執(zhí)行時(shí)就已經(jīng)打印出了這兩條信息。如果代碼如此早地執(zhí)行到了這個(gè)地方,那么我們的應(yīng)用真正開(kāi)始運(yùn)行是在什么時(shí)候呢?答案是,對(duì)于一個(gè)Twisted應(yīng)用(包括Scrapy)來(lái)說(shuō)是在reactor.run()里運(yùn)行的。在調(diào)用這個(gè)方法之前,必須把應(yīng)用中可能用到的每個(gè)Deferred鏈準(zhǔn)備就緒,然后reactor.run()方法會(huì)監(jiān)視并激活回調(diào)函數(shù)。
注意,reactor的主要一條規(guī)則就是,你可以執(zhí)行任何操作,只要它足夠快并且是非阻塞的。
現(xiàn)在好了,代碼中沒(méi)有那么用于管理多線程的部分了,不過(guò)這些回調(diào)函數(shù)看起來(lái)還是有些雜亂??梢孕薷某蛇@樣:

# Twisted gave us utilities that make our code way more readable!
@defer.inlineCallbacks
def inline_install(customer):
  print "Scheduling: Installation for", customer
  yield task.deferLater(reactor, 3, lambda: None)
  print "Callback: Finished installation for", customer
  print "All done for", customer

def twisted_developer_day(customers):
  ... same as previously but using inline_install() instead of schedule_install()

twisted_developer_day(["Customer %d" % i for i in xrange(15)])
reactor.run()

運(yùn)行的結(jié)果和前一個(gè)例子相同。這段代碼的作用和上一個(gè)例子是一樣的,但是看起來(lái)更加簡(jiǎn)潔明了。inlineCallbacks生成器可以使用一些一些Python的機(jī)制來(lái)使得inline_install()函數(shù)暫?;蛘呋謴?fù)執(zhí)行。inline_install()函數(shù)變成了一個(gè)Deferred對(duì)象并且并行地為每個(gè)消費(fèi)者運(yùn)行。每次yield的時(shí)候,運(yùn)行就會(huì)中止在當(dāng)前的inline_install()實(shí)例上,直到y(tǒng)ield的Deferred對(duì)象完成后再恢復(fù)運(yùn)行。
現(xiàn)在唯一的問(wèn)題是,如果我們不止有15個(gè)消費(fèi)者,而是有,比如10000個(gè)消費(fèi)者時(shí)又該怎樣?這段代碼會(huì)同時(shí)開(kāi)始10000個(gè)同時(shí)執(zhí)行的序列(比如HTTP請(qǐng)求、數(shù)據(jù)庫(kù)的寫操作等等)。這樣做可能沒(méi)什么問(wèn)題,但也可能會(huì)產(chǎn)生各種失敗。在有巨大并發(fā)請(qǐng)求的應(yīng)用中,例如Scrapy,我們經(jīng)常需要把并發(fā)的數(shù)量限制到一個(gè)可以接受的程度上。在下面的一個(gè)例子中,我們使用task.Cooperator()來(lái)完成這樣的功能。Scrapy在它的Item Pipeline中也使用了相同的機(jī)制來(lái)限制并發(fā)的數(shù)目(即CONCURRENT_ITEMS設(shè)置):

@defer.inlineCallbacks
def inline_install(customer):
  ... same as above

# The new "problem" is that we have to manage all this concurrency to
# avoid causing problems to others, but this is a nice problem to have.
def twisted_developer_day(customers):
  print "Goodmorning from Twisted developer"
  work = (inline_install(customer) for customer in customers)
  #
  # We use the Cooperator mechanism to make the secretary not
  # service more than 5 customers simultaneously.
  coop = task.Cooperator()
  join = defer.DeferredList([coop.coiterate(work) for i in xrange(5)])
  #
  join.addCallback(lambda _: reactor.stop())
  print "Bye from Twisted developer!"

twisted_developer_day(["Customer %d" % i for i in xrange(15)])
reactor.run()

# We are now more lean than ever, our customers happy, our hosting
# bills ridiculously low and our performance stellar.
# ~*~ THE END ~*~

運(yùn)行結(jié)果:

$ ./deferreds.py 5
------ Running example 5 ------
Goodmorning from Twisted developer
Bye from Twisted developer!
Scheduling: Installation for Customer 0
...
Callback: Finished installation for Customer 4
All done for Customer 4
Scheduling: Installation for Customer 5
...
Callback: Finished installation for Customer 14
All done for Customer 14
* Elapsed time: 9.19 seconds

從上面的輸出中可以看到,程序運(yùn)行時(shí)好像有5個(gè)處理消費(fèi)者的槽。除非一個(gè)槽空出來(lái),否則不會(huì)開(kāi)始處理下一個(gè)消費(fèi)者的請(qǐng)求。在本例中,處理時(shí)間都是3秒,所以看起來(lái)像是5個(gè)一批次地處理一樣。最后得到的性能跟使用線程是一樣的,但是這次只有一個(gè)線程,代碼也更加簡(jiǎn)潔更容易寫出正確的代碼。

PS:deferToThread使同步函數(shù)實(shí)現(xiàn)非阻塞
wisted的defer.Deferred (from twisted.internet import defer)可以返回一個(gè)deferred對(duì)象.

注:deferToThread使用線程實(shí)現(xiàn)的,不推薦過(guò)多使用
***把同步函數(shù)變?yōu)楫惒?返回一個(gè)Deferred)***
twisted的deferToThread(from twisted.internet.threads import deferToThread)也返回一個(gè)deferred對(duì)象,不過(guò)回調(diào)函數(shù)在另一個(gè)線程處理,主要用于數(shù)據(jù)庫(kù)/文件讀取操作

..

# 代碼片段

  def dataReceived(self, data):
    now = int(time.time())

    for ftype, data in self.fpcodec.feed(data):
      if ftype == 'oob':
        self.msg('OOB:', repr(data))
      elif ftype == 0x81: # 對(duì)服務(wù)器請(qǐng)求的心跳應(yīng)答(這個(gè)是解析 防疲勞駕駛儀,發(fā)給gps上位機(jī)的,然后上位機(jī)發(fā)給服務(wù)器的)
        self.msg('FP.PONG:', repr(data))
      else:
        self.msg('TODO:', (ftype, data))
      d = deferToThread(self.redis.zadd, "beier:fpstat:fps", now, self.devid)
      d.addCallback(self._doResult, extra)

下面這兒完整的例子可以給大家參考一下

# -*- coding: utf-8 -*-

from twisted.internet import defer, reactor
from twisted.internet.threads import deferToThread

import functools
import time

# 耗時(shí)操作 這是一個(gè)同步阻塞函數(shù)
def mySleep(timeout):
  time.sleep(timeout)

  # 返回值相當(dāng)于加進(jìn)了callback里
  return 3 

def say(result):
  print "耗時(shí)操作結(jié)束了, 并把它返回的結(jié)果給我了", result

# 用functools.partial包裝一下, 傳遞參數(shù)進(jìn)去
cb = functools.partial(mySleep, 3)
d = deferToThread(cb) 
d.addCallback(say)

print "你還沒(méi)有結(jié)束我就執(zhí)行了, 哈哈"

reactor.run()

相關(guān)文章

  • Python中用字符串調(diào)用函數(shù)或方法示例代碼

    Python中用字符串調(diào)用函數(shù)或方法示例代碼

    字符串作為python中常用的數(shù)據(jù)類型,掌握字符串的常用方法十分必要。下面這篇文章主要給大家介紹了關(guān)于Python中通過(guò)字符串調(diào)用函數(shù)或方法的相關(guān)資料,需要的朋友可以參考借鑒,下面來(lái)一起看看吧。
    2017-08-08
  • 基于Python實(shí)現(xiàn)微信自動(dòng)回復(fù)功能

    基于Python實(shí)現(xiàn)微信自動(dòng)回復(fù)功能

    這篇文章主要為大家詳細(xì)介紹了Python如何通過(guò)WechatPCAPI來(lái)實(shí)現(xiàn)微信自動(dòng)回復(fù)的功能,文中的示例代碼講解詳細(xì),快跟隨小編一起動(dòng)手嘗試一下
    2022-06-06
  • pytorch 中pad函數(shù)toch.nn.functional.pad()的用法

    pytorch 中pad函數(shù)toch.nn.functional.pad()的用法

    今天小編就為大家分享一篇pytorch 中pad函數(shù)toch.nn.functional.pad()的用法,具有很好的參考價(jià)值,希望對(duì)大家有所幫助。一起跟隨小編過(guò)來(lái)看看吧
    2020-01-01
  • Python深度學(xué)習(xí)之Unet?語(yǔ)義分割模型(Keras)

    Python深度學(xué)習(xí)之Unet?語(yǔ)義分割模型(Keras)

    這篇文章主要介紹了語(yǔ)義分割任務(wù)中Unet一個(gè)有意思的模型-Keras。Keras是一個(gè)由Python編寫的開(kāi)源人工神經(jīng)網(wǎng)絡(luò)庫(kù),可進(jìn)行深度學(xué)習(xí)模型的設(shè)計(jì)、調(diào)試、評(píng)估、應(yīng)用和可視化。感興趣的小伙伴快來(lái)跟隨小編一起學(xué)習(xí)一下吧
    2021-12-12
  • python字符串下標(biāo)與切片及使用方法

    python字符串下標(biāo)與切片及使用方法

    這篇文章主要介紹了python字符串下標(biāo)與切片及使用方法,本文通過(guò)實(shí)例代碼給大家介紹的非常詳細(xì),具有一定的參考借鑒價(jià)值,需要的朋友可以參考下
    2020-02-02
  • python正則分組的應(yīng)用

    python正則分組的應(yīng)用

    組是通過(guò) "(" 和 ")" 元字符來(lái)標(biāo)識(shí)的。 "(" 和 ")" 有很多在數(shù)學(xué)表達(dá)式中相同的意思;它們一起把在它們里面的表達(dá)式組成一組
    2013-11-11
  • 如何利用python之wxpy模塊玩轉(zhuǎn)微信

    如何利用python之wxpy模塊玩轉(zhuǎn)微信

    這篇文章主要介紹了利用python之wxpy模塊玩轉(zhuǎn)微信,本文通過(guò)實(shí)例代碼給大家介紹的非常詳細(xì),對(duì)大家的學(xué)習(xí)或工作具有一定的參考借鑒價(jià)值,需要的朋友可以參考下
    2020-08-08
  • 教你使用Python從文件中提取IP地址

    教你使用Python從文件中提取IP地址

    Python提供了高效的高級(jí)數(shù)據(jù)結(jié)構(gòu),還能簡(jiǎn)單有效地面向?qū)ο缶幊?下面這篇文章主要給大家介紹了關(guān)于如何使用Python從文件中提取IP地址的相關(guān)資料,需要的朋友可以參考下
    2022-07-07
  • Python基于network模塊制作電影人物關(guān)系圖

    Python基于network模塊制作電影人物關(guān)系圖

    這篇文章主要介紹了Python基于network模塊制作電影人物關(guān)系圖,文中通過(guò)示例代碼介紹的非常詳細(xì),對(duì)大家的學(xué)習(xí)或者工作具有一定的參考學(xué)習(xí)價(jià)值,需要的朋友可以參考下
    2020-06-06
  • python 切換root 執(zhí)行命令的方法

    python 切換root 執(zhí)行命令的方法

    今天小編就為大家分享一篇python 切換root 執(zhí)行命令的方法,具有很好的參考價(jià)值,希望對(duì)大家有所幫助。一起跟隨小編過(guò)來(lái)看看吧
    2019-01-01

最新評(píng)論