tgext.asyncjob 0.2.1

tgext.asyncjob is a TurboGears2 extension made to handle background/synchronous jobs. Permits to quickly return responses to the user while the system performs more work on background, it can be useful for video transcoding, thumbnails generation or other tasks where the user cannot expect the require time before getting an answer.

To perform a task in background simply perform:

from tgext.asyncjob import asyncjob_perform
asyncjob_perform(callable, arg1, arg2, kwarg=value)

Installing:

tgext.asyncjob can be installed both from pypi or from bitbucket:

easy_install tgext.asyncjob

should just work for most of the users

Enabling AsyncJob

In your application lib/app_globals.py import start_async_worker:

from tgext.asyncjob import start_async_worker

And call it inside the __init__:

class Globals(object):
 def __init__(self):
 start_async_worker()

You can pass the Globals object itself to the start_async_worker function, which will be used to store the tasks queue, otherwise asyncjob will autodetect the Globals object from the call stack frame getting the object inside where it has been called.

Performing background tasks

To perform a background task you can simply use tgext.asyncjob.asyncjob_perform it called from any context where there is a valid request it will perform the callable passed as first argument in background with the parameters provided:

from tgext.asyncjob import asyncjob_perform

def background_task(number):
 print number*2

asyncjob_perform(background_task, 5)

Accessing the database

By default asyncjob manages SQLAlchemy sessions and transactions by itself. Each background task is encapsulated in a transaction which is reverted in case of any exception.

AsyncJob uses its own SQLAlchemy session, so never pass an object already bound to another session. Query them again.

The only issue that developers might have to keep in mind is that when looking for objects that they just created before starting the background task, they might not yet be available inside the DB. To avoid this issue asyncjob provides asyncjob_timed_query which will perform a query looking for a result until the result itself is found or a timeout is reached (by default 60 seconds).

This can be used to fetch back objects created before starting the background task waiting for them to appear on the database:

from tgext.asyncjob import asyncjob_perform, asyncjob_timed_query

@expose()
def controller_method(self):
 def async_query_action(group_id):
 group = asyncjob_timed_query(DBSession.query(Group).filter_by(group_id=group_id)).first()
 group.display_name = 'Prova'

 g = Group(group_name='test_group')
 DBSession.add(g)
 DBSession.flush()
 asyncjob_perform(async_query_action, g.group_id)
 return 'OK'

To change the timeout you can simply pass different retries and interval parameters to asyncjob_timed_query:

asyncjob_timed_query(DBSession.query(Group).filter_by(group_id=group_id),
 retries=10, interval=6).first()


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Requirements:

· Python