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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
update our event data search algorithm to be a bit lazier in event data
discovery; this drastically improves processing speeds for stdout >5MB
see: https://github.com/ansible/awx/issues/417
* 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
* colorize uwsgi and celery logs; DEBUG lines are green, WARN lines
are yellow, ERROR lines (and tracebacks) are red
* pretty-print fact callback receiver JSON
* simplify the uwsgi log format so it's more legible
* Set --master flag so we have a preforking master process to manage
subprocs
* Set max-requests to 1000 so uwsgi will recycle processes after 1000
requests
* Set --no-orphans so uwsgi will track child processes and clean them up
in order to respawn children
* Turn stats on in the container and install uwsgitop in dev
requirements so we can track uwsgi stats
* ramparts_and_ha: (21 commits)
Rename database migrations for devel integration
Integrate callback receiver refactoring
Fix an issue running jobs in the cluster
Implement a more dynamic celery queue system
Purge old munin monitors and tools
Refactor Tower HA Instance logic and models
Docker compose improvements
Initial Docker Compose workflow for Tower cluster
Add memcached role for setup playbook
Removing qpid from deb packaging
Refactor rabbitmq role
Integrate memcached into setup playbook
Remove mongodb shutdown task
Remove dependency on erlang_sd_notify
Add initial rabbitmq role
Initial rabbitmq setup playbook integration
Update development environment for rabbit
Replace qpid with rabbitmq
Remove redis role from setup playbook
Update qpid packaging, remove migrations
...
* Meant to be a starting point to more efficiently manage work routing
and to balance work across all tower nodes
* Integrate flower as a dev tool that starts alongside other nodes.
Helpful for observing and monitoring the queues/exchanges
* For the moment, force the task manager to only run on one node (not
sure if this is needed)
* Define queues and routes for all task work
* Bump celery version to 3.1.23
* Expose flower through haproxy
* ramparts_and_ha:
Removing qpid from deb packaging
Refactor rabbitmq role
Integrate memcached into setup playbook
Remove mongodb shutdown task
Remove dependency on erlang_sd_notify
Add initial rabbitmq role
Initial rabbitmq setup playbook integration
Update development environment for rabbit
Replace qpid with rabbitmq
Remove redis role from setup playbook
Update qpid packaging, remove migrations
Integrate packaging for qpid/memcached
* Switch base tower devel image from u14.04 to c7
* Switch container image to build python dependencies into itself
instead of forcing it to be built on startup
* Upgrade venv pip to 8.1.2
* Neuter queue.py which was heavily tied to redis and was basically
orphaned code
* Alter local_settings to override default cache settings and use
memcached
* Alter local settings to refer to qpid instead of redis for celery
broker
* Purge redis python dependencies and add qpid and memcached
* Update docker-compose to purge redis and add qpid and memcached
* flake8 monkeypatches pyflakes to add codes to linting results. It
would seem that pyflakes 1.1.0 adds more checks but flake8 doesn't
monkeypatch to expose them. I've submitted a PR to add error code 405 to
be able to express that we ignore it in our setup.cfg
https://gitlab.com/pycqa/flake8/merge_requests/56
* awx.main.models Fact added
* view host fact and timeline updated to use new Postgres Fact model instead of Mongo
* Removed license set start Mongo logic
* added View tests
* added Model tests
* Removed mongo fact unit tests
* point at modified jsonbfield that supports sqlite storage driver
* postgresify fact cache receiver
* test OPTIONS endpoint
* Note: single fact view not implemented yet.
* include requirements.txt in requirements_jenkins.txt
* include requirements.txt in requirements_dev.txt
* alter Makefile to NOT call the requirements rule in the requirements_*
rules. Again, this is now handled by the -r requirements.txt in the
respective _*.txt file.
* install jenkins requirements "globally" (in the virtualenv)
