Skip to main content

Python AST Manipulation for Transparent Defering of Calls?

A lot of work has been going on with the Python AST and being able to manipulate it for more runtime uses. This is a generalized suggestion for something we could do in the Twisted community to utilize this.

Given a simple function like this:



def processPage(url):
d = getPage(url)
d.addCallback(cb_processPage)
d.addErrback(eb_processPage)
def cb_processPage(page):
print page
def eb_processPage(error):
print "Could not load page. Error: ", error

We write like that, but what we really mean, and just need to express in a more difficult manner, is:


def processPage(url):
try:
print getPage(url)
except LoadError, e:
print "Could not load page. Error: ", e

What I want to know, is can we take the second example and process the AST branch to produce the first example? Lets step through and see how it would work. First of all, we need to know what is deferred. A simple way would be to check every function return and determine if it is a deferred, but there may be more efficent methods we can discover later. For any possibly deferred call, the expression it is a part of can be refactored out into its own function, as can the exception handler code. When a deferred is detected, the callbacks can be attached and if the operation is not deferred, the callbacks can be used directly. This might even bring about something slightly new: optionally deferred operations. Instead of using defer.succeed and such, returning a deferred could cause code to handle the deferred properly, which would otherwise act in a normal syncronous manner. Depending on just how the AST stuff progresses, maybe the returning of the deferred could trigger the inspection of the calling function to inject the deferred handling code, so only functions that ever get a deferred will need processing.

Comments

PJE said…
"""What I want to know, is can we take the second example and process the AST branch to produce the first example?"""

Doesn't matter. Change your second example to say "print yield getPage(url)", use Python 2.5, and run the whole thing under a trampoline function that knows how to handle deferreds. See PEP 342 for examples. Net result: all you have to do is add "yield" wherever your code can be suspended -- even in the middle of arbitrary expressions, error handlers, and the like.

Now, if you want to do it with Python versions before 2.5, see peak.events. You just have to make it say "yield getPage(url); print events.resume()" instead, because Python before 2.5 can't get a value back from a yield statement. But peak.events already has the necessary trampolines written, and they already work with Twisted's deferreds.
Anonymous said…
I'd prefer to write something like this (replacing indentation with periods for legibility's sake):

def processPage(url):
....when getPage(url) -> page:
........print page
....except LoadError, e:
........print 'Could not load page. Error: ', e

Popular posts from this blog

My Software Job Transition Strategies?

I’ve been spending a good deal of the last two days preparing mentally for starting a whole new challenge as a developer. New things aren’t new to me, but this is different and big enough really call for some Deep Thoughts ™. For one thing, I’ve made a big move from the world of Python web development to totally other Python work and while web development has never been the only thing I do, it has been the only work that paid the bills. That transition isn’t one that bothers me or daunts me, though. Instead, I’m thinking about transitioning to the scope of the work I’m getting into. For a long time, I juggled multiple clients and client projects every day, so no single project usually took up most of my time. Every developer juggles time through the day, but exactly how that works in each company and on each project varies a lot. I was looking for a place that I could really focus in a way that I haven’t for a long time. I think I found that, but now I have to deal with the consequen...

CARDIAC: The Cardboard Computer

I am just so excited about this. CARDIAC. The Cardboard Computer. How cool is that? This piece of history is amazing and better than that: it is extremely accessible. This fantastic design was built in 1969 by David Hagelbarger at Bell Labs to explain what computers were to those who would otherwise have no exposure to them. Miraculously, the CARDIAC (CARDboard Interactive Aid to Computation) was able to actually function as a slow and rudimentary computer.  One of the most fascinating aspects of this gem is that at the time of its publication the scope it was able to demonstrate was actually useful in explaining what a computer was. Could you imagine trying to explain computers today with anything close to the CARDIAC? It had 100 memory locations and only ten instructions. The memory held signed 3-digit numbers (-999 through 999) and instructions could be encoded such that the first digit was the instruction and the second two digits were the address of memory to operat...

The Snake Pit is About to Burst

The signs are all over the place. I can count at least five implementations of Python today: CPython, CL-Python, Jython, IronPython, and PyPy. The use of the language is sky rocketting and set to grab real mind-share as the hype over Ruby subsides. Things are looking good for a favorite green snake and british comedy troop reference, aren't they? Trouble is on the horizon in the very ingredients that could push us into true success. Our community and our very language is in danger of segregation, unless we all do something about it and learn to get along. One of the most visible dangers (to me) is being ignored for various political, cultural, and non-technical reasons. IronPython's users are increasingly pushing IronPython-only recipes, libraries, and tutorials. No one is talking about the transition of the alternative implemenations to CPython 3.0 compatability. To make matters worse, we still can not define the language without refering to an implementation. This is very un...