This the messaging application to manage the flooding tasks. It uses the RabbitMQ as message broker, pika as client to send en recieve messages from the broker.

The first time, you'll have to run the "bootstrap" script to set up setuptools and buildout:

$> python bootstrap.py

And then run buildout to set everything up:

$> bin/buildout

Create models

$> bin/django syncdb

(On windows it is called bin\buildout.exe).

You'll have to re-run buildout when you or someone else made a change in setup.py or buildout.cfg.

The current package is installed as a "development package", so changes in .py files are automatically available (just like with python setup.py develop).

If you want to use trunk checkouts of other packages (instead of released versions), add them as an "svn external" in the local_checkouts/ directory and add them to the develop = list in buildout.cfg.

Tests can always be run with bin/test or bin\test.exe.

Add BROKER_SETTINGS and QUEUES to the project settings (see example in brokerconfig.py)

Load fixture

$> bin/django loaddata flooding_worker_initial

Start logging_workers, it wil save the logs into database

$> bin/django logging_worker

or

$> bin/django supervisord

Start one or more workers per queue/task_code (queue=task_code). The queues are defined in brokerconfig.py. The workers reads message from queue, performs task and send the logging to logging queue and/or to next queue.

$> bin/django run_common_worker queue/task_code

Start scenario with workflow_id as argument. The tasks wil be executed according the value of sequence field in WorkfloTask table.

$> bin/django start_scenario workflow_id

Open website on http://localhost:8000/logs/ to monitor the logging Open website on http://10.100.155.150:55672 to monitor the broker

For more information about RabbitMQ take a look at http://www.rabbitmq.com/.