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this commit implements the bulk of `awx-manage run_dispatcher`, a new
command that binds to RabbitMQ via kombu and balances messages across
a pool of workers that are similar to celeryd workers in spirit.
Specifically, this includes:
- a new decorator, `awx.main.dispatch.task`, which can be used to
decorate functions or classes so that they can be designated as
"Tasks"
- support for fanout/broadcast tasks (at this point in time, only
`conf.Setting` memcached flushes use this functionality)
- support for job reaping
- support for success/failure hooks for job runs (i.e.,
`handle_work_success` and `handle_work_error`)
- support for auto scaling worker pool that scale processes up and down
on demand
- minimal support for RPC, such as status checks and pool recycle/reload
* use embedded beat rather than standalone
* dynamically set celeryd hostname at runtime
* add embeded beat flag to celery startup
* Embedded beat mode routes will piggyback off of celery worker setup
signal
* Based on the tower topology (Instance and InstanceGroup
relationships), have celery dyamically listen to queues on boot
* Add celery task capable of "refreshing" what queues each celeryd
worker listens to. This will be used to support changes in the topology.
* Cleaned up some celery task definitions.
* Converged wrongly targeted job launch/finish messages to 'tower'
queue, rather than a 1-off queue.
* Dynamically route celery tasks destined for the local node
* separate beat process
add support for separate beat process
* Jupyter starts alongside the other awx services and is available on
0.0.0.0:8888
* make target: make jupyter
* default settings in settings/development.py
* Added jupyter, matplotlib, numpy to dev dependencies
* includes top level views for instances and instance groups and
extending those views to be able to view running jobs
* Associative endpoints on Organizations, Inventories, and Job
Templates
* Related and summary field entries where appropriate
* Adding job model references to executing instance group
* Fix up default queue properties for clustering from the settings file
* Update production and default settings for instance queues in settings
