Use dynamic AWX max_workers value
Make basic --status and --running commands work
Make feature flag enabled true by default for development
* [dispatcherd] Dispatcher socket-based `--status` demo working (#15908)
* Fix Task Decorator to Work With and Without Feature Flag (AAP-41775) (#15911)
* refactor(system): extract common heartbeat helpers and split cluster_node_heartbeat
Extract common heartbeat logic into helper functions: _heartbeat_instance_management: consolidates instance management, health checks, and lost-instance detection. _heartbeat_check_versions: compares instance versions and initiates shutdown when necessary. _heartbeat_handle_lost_instances: reaps jobs and marks lost instances offline.
Refactor the original cluster_node_heartbeat to use these helpers and retain legacy behavior (using bind_kwargs).
Introduce adispatch_cluster_node_heartbeat for dispatcherd: uses the control API to retrieve running tasks and reaps them.
Link the two implementations by attaching adispatch_cluster_node_heartbeat as the _new_method on cluster_node_heartbeat.
* feat(publish): delegate heartbeat task submission to new dispatcherd implementation
Update apply_async to check at runtime if FEATURE_NEW_DISPATCHER is enabled.
When the task is cluster_node_heartbeat and a _new_method is attached, delegate the task submission to the new dispatcherd implementation.
Preserve the original behavior for all other tasks and fallback on error.
* refactor(system): extract task ID retrieval from dispatcherd into helper function
Improves readability of adispatch_cluster_node_heartbeat by extracting
the complex UUID parsing logic into a dedicated helper function.
Adds clearer error handling and follows established code patterns.
* fix(dispatcher): Enable task decorator to work with and without feature flag
Implemented a new approach for handling task execution with feature flags
by attaching alternative implementations to apply_async._new_method. This
allows cluster_node_heartbeat to work correctly with both the legacy and
new dispatcher systems without modifying core decorator logic.
AAP-41775
* fix(dispatcher): Improve error handling and logging in feature flag implementation
- Add error handling when attaching alternative dispatcher implementation
- Fix method self-reference in apply_async to properly use cls.apply_async
- Document limitations of this targeted approach for specific tasks
- Add logging for better debugging of dispatcher selection
- Ensure decorator timing by keeping method attachment after function definitions
This completes the robust implementation for switching between dispatcher
implementations based on feature flags.
AAP-41775
* fix(dispatcher): Implement registry pattern for dispatcher feature flag compatibility
Replaces direct method attribute assignment with a global registry for
alternative implementations. The original approach tried to attach new
methods directly to apply_async bound methods, which fails because bound
methods don't support attribute assignment in Python.
The registry pattern:
- Creates a global ALTERNATIVE_TASK_IMPLEMENTATIONS dict in publish.py
- Registers alternative implementations by task name
- Modifies apply_async to check the registry when feature flag is enabled
- Adds extensive logging throughout the process for debugging
This enables cluster_node_heartbeat to work correctly with both the legacy
and new dispatcher implementations based on the FEATURE_NEW_DISPATCHER flag.
AAP-41775
* refactor(dispatcher): Remove excessive logging from dispatcher implementation
Reduces verbose debugging logs while maintaining essential logging for critical
operations. Preserves:
- Task implementation selection based on feature flag
- Registration success/failure messages
- Critical error reporting
Removed:
- Registry content debugging messages
- Repetitive task diagnostics
- Non-essential information logging
AAP-41775
* fix(dispatcher): Fix shallow copy in dispatcher schedule conversion
This resolves "AttributeError: 'float' object has no attribute 'total_seconds'"
errors when the dispatcher is restarted.
Refs: AAP-41775
* Use IPC mechanism to get running tasks (#15926)
* Allow tasks from tasks
* Fix failure to limit to waiting jobs
* Get job record with lock
* Fix failures in dispatcherd feature branch (#15930)
* Fully handle DispatcherCancel
* Complete rest of preload import work
* Complete dispatcherd integration & job cancellation (AAP-43033) (#15941)
* feat(dispatcher): Implement job cancellation for new dispatcher
Adds feature-flag-aware job cancellation that routes cancel requests to either
the legacy dispatcher or the new dispatcherd library based on the
FEATURE_NEW_DISPATCHER flag.
- Updates cancel_dispatcher_process() to use dispatcherd's control API when enabled
- Handles both direct cancellation and task manager workflow cancellation cases
- Works with DispatcherCancel exception handling to properly handle SIGUSR1 signals
AAP-43033
* fix(dispatcher): Update run_dispatcher.py to properly handle task cancellation
Modifies the cancel command in run_dispatcher.py to properly cancel tasks
when the FEATURE_NEW_DISPATCHER flag is enabled, rather than just listing
running tasks.
The implementation translates each task UUID to the appropriate
filter format expected by the dispatcherd control API, maintaining the same
behavior as the original implementation.
Part of: AAP-43033
* refactor(system): Refactor dispatch_startup() to extract common startup logic and branch based on feature flag
This commit refactors the dispatch_startup() function to improve clarity and consistency across the legacy
and new dispatcherd flows.
No dispatcher-specific functionality is needed beyond the changes made, so this refactoring improves robustness without
altering core behavior.
* refactor(system): Refactor inform_cluster_of_shutdown() for clarity
* refactor(tasks): Replace @task with @task_awx across 22 tasks for dispatcher compatibility
- Migrated all task decorators to use @task_awx, ensuring dispatcher-aware behavior.
- Tested each task with the new dispatcherd, verifying that tasks using the registry pattern execute correctly without needing binder‐based alternative implementations.
- Removed redundant logging and outdated comments.
- Legacy tasks that do not require special parameter extraction continue to use their original logic.
- This commit reflects our complete journey of testing and verifying dispatcherd compatibility across all 22 tasks.
* refactor(publish): fix linter
* Fix bug from the branch rebase
* AAP-43763 Add tests for connection management in dispatcherd workers (#15949)
* Add test for job cancel in live tests
* Fix bug from the branch rebase
* Add test for connection recovery after connection broke
* Add test for breaking connection
* Fix dispatcherd bugs: schedule aliases, job kwargs handling, cancel handling (#15960)
* Put in job kwargs handling, not done before
* AAP-44382 [dispatcherd] Fixes for running with feature flag off (#15973)
* Use correct decorator for test of tasks
* Finalize dispatcherd feature branch (#15975)
* Work dispatcherd into dependency management system
* Use util methods from DAB
* Rename the dispatcherd feature flag, and flip default to not-enabled
* Move to new submit_task method
* Update the location of the sock file
* AAP-44381 Make dispatcherd config loading more lazy (#15979)
* Make dispatcherd config loading more lazy
* Make submission error more obvious
* Fix signal handling gap, hijack SIGUSR1 from dispatcherd (#15983)
* Fix signal handling gap, hijack SIGUSR1 from dispatcherd
* Minor adjustments to dispatcherd status command
* [dispatcherd] Get rid of alternative task registry (#15984)
Get rid of alternative task registry
* Fix deadlock error and other cleanup errors (#15987)
* Move to proper error handling location
---------
Co-authored-by: artem_tiupin <70763601+art-tapin@users.noreply.github.com>
* Replaced all references of downstream docs to upstream docs.
* Update README.md
Co-authored-by: Don Naro <dnaro@redhat.com>
* Update README.md.j2
Co-authored-by: Don Naro <dnaro@redhat.com>
* Update README.md.j2
Co-authored-by: Don Naro <dnaro@redhat.com>
* Incorpor'd review feedback from @oraNod and @samccann
* Updated with agreed link (for now) until further change is needed.
---------
Co-authored-by: Don Naro <dnaro@redhat.com>
--- Added 3 new sub-package : awx.main.tasks.system , awx.main.tasks.jobs , awx.main.tasks.receptor
--- Modified the functional tests and unit tests accordingly
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
