tasks
__tasks.py__ is a simple and fast task queue for executing multiple tasks in parallel. All you need to do is specify the task as a simple function that takes an argument and you get instant parallelism.
Based on eventlet, multiprocessing and redis.
It is ideal for executing multiple network bound tasks in parallel from a single node, without going through the pain of setting up a map reduce cluster. It uses both processes and green threads to extract the maximum out of a single node setup.
Installation
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1. Install redis and start the server, **tasks** uses redis for queueing jobs. If you already have a redis server setup, call `tasks.set_redis` and pass a redis connection object with a different database/namespace from what you normally use in your application.
2. Install the redis-py and eventlet libraries.
`pip install redis eventlet`
3. Install tasks or copy this package to your source code.
`pip install tasks-py`
Usage
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Import `tasks` and call eventlet's monkey patch function in the first line of your module. Call `tasks.set_func` to register your function. This function will be receiving a string as an argument and its return value will be ignored. To indicate failure of the task, raise an error or exception within the function. Call `tasks.main()` to get the interactive command line options.
import eventlet
eventlet.monkey_patch()
import tasks
from urllib2 import urlopen
def fetch(url):
f = open('/tmp/download', 'w')
body = urlopen(url).read()
f.write(body)
f.close()
tasks.set_func(fetch)
tasks.main()
Now to add jobs, create a file with one argument per line and use this command.
`$ python yourfile.py add <list_of_jobs.txt>`
To start (or restart) the job processing (do this in a **screen** session or close the input stream):
`$ python yourfile.py run`
**tasks** has resume support, so it will start where you left off the last time.
To view the current status while it is running:
`$ python yourfile.py status`
Once you are done, you can clear the logs and the completed tasks by calling reset.
`$ python yourfile.py reset`
See the code or the test.py file for more information. Feel free to fork and modify this.
----
**Author** : Vivek Narayanan <<vivek@vivekn.com>>
**License** : BSD
(C) Vivek Narayanan (2014)

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