Simple command queue. Given a list of python callable, creates a thread pool to unstack them concurrently.
The only dependency it has is python2.7 and python-setuptools. To install in on an ubuntu system for example, use the following:
apt-get install -y python2.7 python-setuptools update-alternatives --install /usr/bin/python python2.7 /usr/bin/python2.7 10
From github:
git clone git://github.com/maisonsdumonde/cmdq.git cd cmdq
Isolating your cmdq in a virtualenv is highly encouraged:
virtualenv .py-env . .py-env/bin/activate python setup.py develop
No fear? Install globally:
sudo python setup.py install
Run a cmdq file:
cmdq example/simple.cmdq
For cmdq file syntax, it's mostly python, and loader looks for a "cmdq" attribute which must be a list of your python callables to dispatch in threads.
For each command queue, create a .cmdq file using python syntax. The only requirement is that it defines a cmdq local containing an iterable of the python callables it needs to run. You can look at examples in example directory.
Sometimes, workers share a limited set of resources (for example, slave boxes that will run the actual code). You can use a ResourcePool to achieve this. The worker will wait for an availabl thread, and an availabl resource, to be run. For now, you should avoid to use more than one resource pool for a given worker, you may end up in a deadlock situation:
servers = ResourcePool('web-1', 'web-2') @servers.use def my_worker(server): print server # ...
Sometimes it's handy to execute something before any cmdq is started, or after all cmdq finished execution:
def initialize(): system('echo I am the first!') def finalize(): system('echo I am the last!')
Copyright (C) 2012 Maisons du Monde
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