## Ansible Runner Integration Overview Much of the code in AWX around ansible and `ansible-playbook` invocation has been removed and put into the project `ansible-runner`. AWX now calls out to `ansible-runner` to invoke ansible and `ansible-playbook`. ### Lifecycle In AWX, a task of a certain job type is kicked off (_i.e._, RunJob, RunProjectUpdate, RunInventoryUpdate, etc.) in `tasks.py`. A temp directory is built to house `ansible-runner` parameters (_i.e._, `envvars`, `cmdline`, `extravars`, etc.). The `temp` directory is filled with the various concepts in AWX (_i.e._, `ssh` keys, `extra vars`, etc.). The code then builds a set of parameters to be passed to the `ansible-runner` Python module interface, `ansible-runner.interface.run()`. This is where AWX passes control to `ansible-runner`. Feedback is gathered by AWX via callbacks and handlers passed in. The callbacks and handlers are: * `event_handler`: Called each time a new event is created in `ansible-runner`. AWX will dispatch the event to `redis` to be processed on the other end by the callback receiver. * `cancel_callback`: Called periodically by `ansible-runner`; this is so that AWX can inform `ansible-runner` if the job should be canceled or not. * `finished_callback`: Called once by `ansible-runner` to denote that the process that was asked to run is finished. AWX will construct the special control event, `EOF`, with the associated total number of events that it observed. * `status_handler`: Called by `ansible-runner` as the process transitions state internally. AWX uses the `starting` status to know that `ansible-runner` has made all of its decisions around the process that it will launch. AWX gathers and associates these decisions with the Job for historical observation. ### Debugging If you want to debug `ansible-runner`, then set `AWX_CLEANUP_PATHS=False`, run a job, observe the job's `AWX_PRIVATE_DATA_DIR` property, and go the node where the job was executed and inspect that directory. If you want to debug the process that `ansible-runner` invoked (_i.e._, Ansible or `ansible-playbook`), then observe the Job's `job_env`, `job_cwd`, and `job_args` parameters.