Table Of Contents

Scheduling Tasks with TurboGears

TurboGears includes a scheduler that is based on Kronos by Irmen de Jong. This scheduler makes it easy to have one time or recurring tasks run as needed.

You can schedule Python functions to be called at specific intervals or days. It uses the standard sched module for the actual task scheduling, but provides much more:

  • Repeated (at intervals, or on specific days) and one-time tasks.
  • Error handling (exceptions in your tasks don’t kill the scheduler).
  • You can run the scheduler in its own thread or a separate process.
  • You can run a task in its own thread or a separate process.

To use the scheduler, set the tg.scheduler config variable to True in your [global] configuration. This tells TurboGears to start the scheduler when the server starts.

Edit <yourproject>/<yourpkg>/config/app.cfg:

# Set to True if the scheduler should be started
tg.scheduler = True

Scheduling Jobs

There are four functions in the turbogears.schedule module you can use to schedule jobs. They are called add_interval_task, add_weekday_task, add_monthday_task and add_single_task.

All four functions return a Task object. If you hold on to that Task object, you can later cancel it by calling turbogears.scheduler.cancel() with that Task.

Here is an example that runs the function "do_something" every ten seconds:

from turbogears import scheduler

def do_something():
    print "Hello world."

scheduler.add_interval_task(action=do_something, taskname='do_something',
    initialdelay=0, interval=10)

All four scheduling functions take the following arguments:

The callable that will be called at the time you request
Tuple of positional parameters to pass to the action
Keyword arguments to pass to the action
Tasks can have a name (stored in, which can help if you’re trying to keep track of many tasks.

By default, each task will be run in a new thread. You can also pass in turbogears.scheduler.method.sequential or turbogears.scheduler.method.forked. The default is turbogears.scheduler.method.threaded.

Sequential means that the task will run in the same thread as the scheduler, and task will be execuetd sequentially, one after another. This should only be used for quick tasks.

Forked means to fork a new process to run the job, which is sometimes more effective for intense jobs, particularly on multiprocessor machines (due to Python’s architecture).


it is impossible to add new tasks to a ForkedScheduler, after the scheduler has been started!

Here’s an example of how to schedule the same function as above as a task using the sequential method:


In addition to these common parameters, the four scheduling functions each offer additional options to determine when they run. Here are the four functions and their parameters for how often to run:


Pass in initialdelay with a number of seconds to wait before running and an interval with the number of seconds between runs.

For example, an initialdelay of 600 and interval of 60 would mean “start running after 10 minutes and run every 1 minute after that”.

Runs on certain days of the week. Pass in a list or tuple of weekdays from 1-7 (where 1 is Monday). Additionally, you need to pass in timeonday which is the time of day to run. timeonday should be a tuple with (hour, minute).
Runs on certain days of the month. Pass in a list or tuple of monthdays from 1-31, and also pass in timeonday which is an (hour, minute) tuple of the time of day to run the task.
Runs a task once. Pass in initialdelay with a number of seconds to wait before running.

Using Task Objects Directly

For more control you can create one of the following Task sub-classes:

IntervalTask ThreadedIntervalTask ForkedIntervalTask
SingleTask ThreadedSingleTask ForkedSingleTask
WeekdayTask ThreadedWeekdayTask ForkedWeekdayTask
MonthdayTask ThreadedMonthdayTask ForkedMonthdayTask

All Task sub-classes support the following methods:

Execute the actual task.
reschedule(self, scheduler)
Does nothing.
Reschedule this task according to its interval (in seconds).
Reschedule this for tomorrow, for the given daytime.
Not applicable (raises a NotImplementedError exception.).

You can the schedule a task using one of the following methods of a Scheduler instance. To get and instance, you can either call turbogears.schedule._get_scheduler() or create your own instance of one of the following Schedule classes:

  • Scheduler
  • ThreadedScheduler
  • ForkedScheduler
schedule_task(self, task, delay)
Add a new task to the scheduler with the given delay (in seconds).
schedule_task_abs(self, task, abstime)
Add a new task to the scheduler for the given absolute time value.

Usage Example

You might want to use the scheduler as a kind of mini-cron to execute tasks at regular intervals or to dynamically schedule new tasks during runtime (e.g, a RSS reader). Where you place the code for your tasks and scheduling them will depend on your application. In any case you will need to run a function to (re) schedule your tasks after application startup.

For example, you could use the scheduler to regularly run jobs ranging from reporting to updating the database using external data. For this purpose, you might create a file in your applications package, containing a function per ‘job’ and schedule() function to schedule the tasks during startup. basically reads as follows:

import datetime
from turbogears.scheduler import add_weekday_task, add_interval_task

def generate_product_ranking():
    # do something useful here...

def synchronize_stock(from=None):
    # do something useful here...

def schedule():
        weekdays=range(1,8), timeonday=(0))

        args=[ -

Then add two lines to the start() function in, just before the TurboGears server is started, to run the schedule function at each startup (assuming your applications package is called yourpkg):



def start():


    # following two lines added
    from yourpkg import jobs

    from yourpkg.controllers import Root