Twisted的延时处理机制

Twisted 采用异步处理并发事件,采用延时机制来实现这个功能,推荐看下面的原文,翻译太累,呵呵:
Trac back: http://twistedmatrix.com/projects/core/documentation/howto/defer.html

Deferred Reference

This document is a guide to the behaviour of the twisted.internet.defer.Deferred object, and to various ways you can use them when they are returned by functions.

This document assumes that you are familiar with the basic principle that the Twisted framework is structured around: asynchronous, callback-based programming, where instead of having blocking code in your program or using threads to run blocking code, you have functions that return immediately and then begin a callback chain when data is available.

See these documents for more information:

After reading this document, the reader should expect to be able to deal with most simple APIs in Twisted and Twisted-using code that return Deferreds.

  • what sorts of things you can do when you get a Deferred from a function call; and
  • how you can write your code to robustly handle errors in Deferred code.

Unless you're already very familiar with asynchronous programming, it's strongly recommended you read the Deferreds section of the Asynchronous programming document to get an idea of why Deferreds exist.

Callbacks

A twisted.internet.defer.Deferred is a promise that a function will at some point have a result. We can attach callback functions to a Deferred, and once it gets a result these callbacks will be called. In addition Deferreds allow the developer to register a callback for an error, with the default behavior of logging the error. The deferred mechanism standardizes the application programmer's interface with all sorts of blocking or delayed operations.

from
 twisted
.internet
 import
 reactor
, defer


def
 getDummyData
(x
):
    """
    This function is a dummy which simulates a delayed result and
    returns a Deferred which will fire with that result. Don't try too
    hard to understand this.
    """

    d
 = defer
.Deferred
()
    # simulate a delayed result by asking the reactor to fire the

    # Deferred in 2 seconds time with the result x * 3

    reactor
.callLater
(2
, d
.callback
, x
 * 3
)
    return
 d


def
 printData
(d
):
    """
    Data handling function to be added as a callback: handles the
    data by printing the result
    """

    print
 d


d
 = getDummyData
(3
)
d
.addCallback
(printData
)

# manually set up the end of the process by asking the reactor to

# stop itself in 4 seconds time

reactor
.callLater
(4
, reactor
.stop
)
# start up the Twisted reactor (event loop handler) manually

reactor
.run
()

Multiple callbacks

Multiple callbacks can be added to a Deferred. The first callback in the Deferred's callback chain will be called with the result, the second with the result of the first callback, and so on. Why do we need this? Well, consider a Deferred returned by twisted.enterprise.adbapi - the result of a SQL query. A web widget might add a callback that converts this result into HTML, and pass the Deferred onwards, where the callback will be used by twisted to return the result to the HTTP client. The callback chain will be bypassed in case of errors or exceptions.

from
 twisted
.internet
 import
 reactor
, defer


class
 Getter
:
    def
 gotResults
(self
, x
):
        """
        The Deferred mechanism provides a mechanism to signal error
        conditions.  In this case, odd numbers are bad.

        This function demonstrates a more complex way of starting
        the callback chain by checking for expected results and
        choosing whether to fire the callback or errback chain
        """

        if
 x
 % 2
 == 0
:
            self
.d
.callback
(x
*3
)
        else
:
            self
.d
.errback
(ValueError
("You used an odd number!"
))

    def
 _toHTML
(self
, r
):
        """
        This function converts r to HTML.

        It is added to the callback chain by getDummyData in
        order to demonstrate how a callback passes its own result
        to the next callback
        """

        return
 "Result: %s"
 % r


    def
 getDummyData
(self
, x
):
        """
        The Deferred mechanism allows for chained callbacks.
        In this example, the output of gotResults is first
        passed through _toHTML on its way to printData.

        Again this function is a dummy, simulating a delayed result
        using callLater, rather than using a real asynchronous
        setup.
        """

        self
.d
 = defer
.Deferred
()
        # simulate a delayed result by asking the reactor to schedule

        # gotResults in 2 seconds time

        reactor
.callLater
(2
, self
.gotResults
, x
)
        self
.d
.addCallback
(self
._toHTML
)
        return
 self
.d


def
 printData
(d
):
    print
 d


def
 printError
(failure
):
    import
 sys

    sys
.stderr
.write
(str
(failure
))

# this series of callbacks and errbacks will print an error message

g
 = Getter
()
d
 = g
.getDummyData
(3
)
d
.addCallback
(printData
)
d
.addErrback
(printError
)

# this series of callbacks and errbacks will print "Result: 12"

g
 = Getter
()
d
 = g
.getDummyData
(4
)
d
.addCallback
(printData
)
d
.addErrback
(printError
)

reactor
.callLater
(4
, reactor
.stop
); reactor
.run
()

Visual Explanation

  1. Requesting method (data sink) requests data, gets Deferred object.
  2. Requesting method attaches callbacks to Deferred object.
  1. When the result is ready, give it to the Deferred object. .callback(result) if the operation succeeded, .errback(failure) if it failed. Note that failure is typically an instance of a twisted.python.failure.Failure instance.
  2. Deferred object triggers previously-added (call/err)back with the result or failure . Execution then follows the following rules, going down the chain of callbacks to be processed.
    • Result of the callback is always passed as the first argument to the next callback, creating a chain of processors.
    • If a callback raises an exception, switch to errback.
    • An unhandled failure gets passed down the line of errbacks, this creating an asynchronous analog to a series to a series of except: statements.
    • If an errback doesn't raise an exception or return a twisted.python.failure.Failure instance, switch to callback.

Errbacks

Deferred's error handling is modeled after Python's exception handling. In the case that no errors occur, all the callbacks run, one after the other, as described above.

If the errback is called instead of the callback (e.g. because a DB query raised an error), then a twisted.python.failure.Failure is passed into the first errback (you can add multiple errbacks, just like with callbacks). You can think of your errbacks as being like except blocks of ordinary Python code.

Unless you explicitly raise an error in except block, the Exception is caught and stops propagating, and normal execution continues. The same thing happens with errbacks: unless you explicitly return a Failure or (re-)raise an exception, the error stops propagating, and normal callbacks continue executing from that point (using the value returned from the errback). If the errback does returns a Failure or raise an exception, then that is passed to the next errback, and so on.

Note: If an errback doesn't return anything, then it effectively returns None , meaning that callbacks will continue to be executed after this errback. This may not be what you expect to happen, so be careful. Make sure your errbacks return a Failure (probably the one that was passed to it), or a meaningful return value for the next callback.

Also, twisted.python.failure.Failure instances have a useful method called trap, allowing you to effectively do the equivalent of:

try
:
    # code that may throw an exception

    cookSpamAndEggs
()
except
 (SpamException
, EggException
):
    # Handle SpamExceptions and EggExceptions

    ...

You do this by:

def
 errorHandler
(failure
):
    failure
.trap
(SpamException
, EggException
)
    # Handle SpamExceptions and EggExceptions


d
.addCallback
(cookSpamAndEggs
)
d
.addErrback
(errorHandler
)

If none of arguments passed to failure.trap match the error encapsulated in that Failure , then it re-raises the error.

There's another potential gotcha here. There's a method twisted.internet.defer.Deferred.addCallbacks which is similar to, but not exactly the same as, addCallback followed by addErrback . In particular, consider these two cases:

# Case 1

d
 = getDeferredFromSomewhere
()
d
.addCallback
(callback1
)       # A

d
.addErrback
(errback1
)         # B

d
.addCallback
(callback2
)       
d
.addErrback
(errback2
)        

# Case 2

d
 = getDeferredFromSomewhere
()
d
.addCallbacks
(callback1
, errback1
)  # C

d
.addCallbacks
(callback2
, errback2
)

If an error occurs in callback1 , then for Case 1 errback1 will be called with the failure. For Case 2, errback2 will be called. Be careful with your callbacks and errbacks.

What this means in a practical sense is in Case 1, "A" will handle a success condition from getDeferredFromSomewhere , and "B" will handle any errors that occur from either the upstream source, or that occur in 'A' . In Case 2, "C"'s errback1 will only handle an error condition raised by getDeferredFromSomewhere , it will not do any handling of errors raised in callback1.

Unhandled Errors

If a Deferred is garbage-collected with an unhandled error (i.e. it would call the next errback if there was one), then Twisted will write the error's traceback to the log file. This means that you can typically get away with not adding errbacks and still get errors logged. Be careful though; if you keep a reference to the Deferred around, preventing it from being garbage-collected, then you may never see the error (and your callbacks will mysteriously seem to have never been called). If unsure, you should explicitly add an errback after your callbacks, even if all you do is:

# Make sure errors get logged

from
 twisted
.python
 import
 log

d
.addErrback
(log
.err
)

Handling either synchronous or asynchronous results

In some applications, there are functions that might be either asynchronous or synchronous. For example, a user authentication function might be able to check in memory whether a user is authenticated, allowing the authentication function to return an immediate result, or it may need to wait on network data, in which case it should return a Deferred to be fired when that data arrives. However, a function that wants to check if a user is authenticated will then need to accept both immediate results and Deferreds.

In this example, the library function authenticateUser uses the application function isValidUser to authenticate a user:

def
 authenticateUser
(isValidUser
, user
):
    if
 isValidUser
(user
):
        print
 "User is authenticated"

    else
:
        print
 "User is not authenticated"

However, it assumes that isValidUser returns immediately, whereas isValidUser may actually authenticate the user asynchronously and return a Deferred. It is possible to adapt this trivial user authentication code to accept either a synchronous isValidUser or an asynchronous isValidUser , allowing the library to handle either type of function. It is, however, also possible to adapt synchronous functions to return Deferreds. This section describes both alternatives: handling functions that might be synchronous or asynchronous in the library function (authenticateUser ) or in the application code.

Handling possible Deferreds in the library code

Here is an example of a synchronous user authentication function that might be passed to authenticateUser :

def
 synchronousIsValidUser
(user
):
    '''
    Return true if user is a valid user, false otherwise
    '''

    return
 user
 in
 ["Alice"
, "Angus"
, "Agnes"
]

However, here's an asynchronousIsValidUser function that returns a Deferred:

from
 twisted
.internet
 import
 reactor


def
 asynchronousIsValidUser
(d
, user
):
    d
 = Deferred
()
    reactor
.callLater
(2
, d
.callback
, user
 in
 ["Alice"
, "Angus"
, "Agnes"
])
    return
 d

Our original implementation of authenticateUser expected isValidUser to be synchronous, but now we need to change it to handle both synchronous and asynchronous implementations of isValidUser . For this, we use maybeDeferred to call isValidUser , ensuring that the result of isValidUser is a Deferred, even if isValidUser is a synchronous function:

from
 twisted
.internet
 import
 defer


def
 printResult
(result
):
    if
 result
:
        print
 "User is authenticated"

    else
:
        print
 "User is not authenticated"


def
 authenticateUser
(isValidUser
, user
):
    d
 = defer
.maybeDeferred
(isValidUser
, user
)
    d
.addCallback
(printResult
)

Now isValidUser could be either synchronousIsValidUser or asynchronousIsValidUser .

It is also possible to modify synchronousIsValidUser to return a Deferred, see Generating Deferreds for more information.

DeferredList

Sometimes you want to be notified after several different events have all happened, rather than waiting for each one individually. For example, you may want to wait for all the connections in a list to close. twisted.internet.defer.DeferredList is the way to do this.

To create a DeferredList from multiple Deferreds, you simply pass a list of the Deferreds you want it to wait for:

# Creates a DeferredList

dl
 = defer
.DeferredList
([deferred1
, deferred2
, deferred3
])

You can now treat the DeferredList like an ordinary Deferred; you can call addCallbacks and so on. The DeferredList will call its callback when all the deferreds have completed. The callback will be called with a list of the results of the Deferreds it contains, like so:

def
 printResult
(result
):
    print
 result

deferred1
 = defer
.Deferred
()
deferred2
 = defer
.Deferred
()
deferred3
 = defer
.Deferred
()
dl
 = defer
.DeferredList
([deferred1
, deferred2
, deferred3
])
dl
.addCallback
(printResult
)
deferred1
.callback
('one'
)
deferred2
.errback
('bang!'
)
deferred3
.callback
('three'
)
# At this point, dl will fire its callback, printing:

#     [(1, 'one'), (0, 'bang!'), (1, 'three')]

# (note that defer.SUCCESS == 1, and defer.FAILURE == 0)

A standard DeferredList will never call errback.

Note:

If you want to apply callbacks to the individual Deferreds that go into the DeferredList, you should be careful about when those callbacks are added. The act of adding a Deferred to a DeferredList inserts a callback into that Deferred (when that callback is run, it checks to see if the DeferredList has been completed yet). The important thing to remember is that it is this callback which records the value that goes into the result list handed to the DeferredList's callback.

<!-- TODO: add picture here: three columns of callback chains, with a value being snarfed out of the middle of each and handed off to the DeferredList -->

Therefore, if you add a callback to the Deferred after adding the Deferred to the DeferredList, the value returned by that callback will not be given to the DeferredList's callback. To avoid confusion, we recommend not adding callbacks to a Deferred once it has been used in a DeferredList.

def
 printResult
(result
):
    print
 result

def
 addTen
(result
):
    return
 result
 + " ten"


# Deferred gets callback before DeferredList is created

deferred1
 = defer
.Deferred
()
deferred2
 = defer
.Deferred
()
deferred1
.addCallback
(addTen
)
dl
 = defer
.DeferredList
([deferred1
, deferred2
])
dl
.addCallback
(printResult
)
deferred1
.callback
("one"
) # fires addTen, checks DeferredList, stores "one ten"

deferred2
.callback
("two"
)
# At this point, dl will fire its callback, printing:

#     [(1, 'one ten'), (1, 'two')]


# Deferred gets callback after DeferredList is created

deferred1
 = defer
.Deferred
()
deferred2
 = defer
.Deferred
()
dl
 = defer
.DeferredList
([deferred1
, deferred2
])
deferred1
.addCallback
(addTen
) # will run *after* DeferredList gets its value

dl
.addCallback
(printResult
)
deferred1
.callback
("one"
) # checks DeferredList, stores "one", fires addTen

deferred2
.callback
("two"
)
# At this point, dl will fire its callback, printing:

#     [(1, 'one), (1, 'two')]

Other behaviours

DeferredList accepts three keyword arguments that modify its behaviour: fireOnOneCallback , fireOnOneErrback and consumeErrors . If fireOnOneCallback is set, the DeferredList will immediately call its callback as soon as any of its Deferreds call their callback. Similarly, fireOnOneErrback will call errback as soon as any of the Deferreds call their errback. Note that DeferredList is still one-shot, like ordinary Deferreds, so after a callback or errback has been called the DeferredList will do nothing further (it will just silently ignore any other results from its Deferreds).

The fireOnOneErrback option is particularly useful when you want to wait for all the results if everything succeeds, but also want to know immediately if something fails.

The consumeErrors argument will stop the DeferredList from propagating any errors along the callback chains of any Deferreds it contains (usually creating a DeferredList has no effect on the results passed along the callbacks and errbacks of their Deferreds). Stopping errors at the DeferredList with this option will prevent Unhandled error in Deferred warnings from the Deferreds it contains without needing to add extra errbacks1 .

Class Overview

This is an overview API reference for Deferred from the point of using a Deferred returned by a function. It is not meant to be a substitute for the docstrings in the Deferred class, but can provide guidelines for its use.

There is a parallel overview of functions used by the Deferred's creator in Generating Deferreds .

Basic Callback Functions

  • addCallbacks(self, callback[, errback, callbackArgs, callbackKeywords, errbackArgs, errbackKeywords])

    This is the method you will use to interact with Deferred. It adds a pair of callbacks parallel to each other (see diagram above) in the list of callbacks made when the Deferred is called back to. The signature of a method added using addCallbacks should be myMethod(result, *methodArgs, **methodKeywords) . If your method is passed in the callback slot, for example, all arguments in the tuple callbackArgs will be passed as *methodArgs to your method.

    There are various convenience methods that are derivative of addCallbacks. I will not cover them in detail here, but it is important to know about them in order to create concise code.

    • addCallback(callback, *callbackArgs, **callbackKeywords)

      Adds your callback at the next point in the processing chain, while adding an errback that will re-raise its first argument, not affecting further processing in the error case.

      Note that, while addCallbacks (plural) requires the arguments to be passed in a tuple, addCallback (singular) takes all its remaining arguments as things to be passed to the callback function. The reason is obvious: addCallbacks (plural) cannot tell whether the arguments are meant for the callback or the errback, so they must be specifically marked by putting them into a tuple. addCallback (singular) knows that everything is destined to go to the callback, so it can use Python's * and ** syntax to collect the remaining arguments.

    • addErrback(errback, *errbackArgs, **errbackKeywords)

      Adds your errback at the next point in the processing chain, while adding a callback that will return its first argument, not affecting further processing in the success case.

    • addBoth(callbackOrErrback, *callbackOrErrbackArgs, **callbackOrErrbackKeywords)

      This method adds the same callback into both sides of the processing chain at both points. Keep in mind that the type of the first argument is indeterminate if you use this method! Use it for finally: style blocks.

Chaining Deferreds

If you need one Deferred to wait on another, all you need to do is return a Deferred from a method added to addCallbacks. Specifically, if you return Deferred B from a method added to Deferred A using A.addCallbacks, Deferred A's processing chain will stop until Deferred B's .callback() method is called; at that point, the next callback in A will be passed the result of the last callback in Deferred B's processing chain at the time.

If this seems confusing, don't worry about it right now -- when you run into a situation where you need this behavior, you will probably recognize it immediately and realize why this happens. If you want to chain deferreds manually, there is also a convenience method to help you.

  • chainDeferred(otherDeferred)

    Add otherDeferred to the end of this Deferred's processing chain. When self.callback is called, the result of my processing chain up to this point will be passed to otherDeferred.callback . Further additions to my callback chain do not affect otherDeferred

    This is the same as self.addCallbacks(otherDeferred.callback, otherDeferred.errback)

See also

  1. Generating Deferreds , an introduction to writing asynchronous functions that return Deferreds.

Footnotes

  1. Unless of course a later callback starts a fresh error — but as we've already noted, adding callbacks to a Deferred after its used in a DeferredList is confusing and usually avoided.

Index

Version: 8.1.0

爬虫日记(80):Twisted的循环任务 前面已经学习了Twisted框架的一些延时机制、延时链、多个延时条件等等,接着下来继续学习Twisted的循环任务,比如scrapy里下载任务失败之后,尝试过一段时间再重试下载,那么这个就可以在循环任务里检查是否到达下载时间。另外scrapy里也采用心跳机制来检查整个调度任务是否有满足条件进行下载的任务。 在scrapy下载网站的过程中,经常会遇到这样的情况,那就是向网站进行HTTP请求,然后等待数据返回,当数据返回时就需要向多个任务进行处理。在Twisted框架里实现这种需求,提前把所有需要进行处. 阅读详情

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