This feature changes the scalar value of `serial:` to a list, which
allows users to specify a list of values, so batches can be ramped
up (commonly called "canary" setups):
- hosts: all
serial: [1, 5, 10, "100%"]
tasks:
...
Ansible when there was a percentage that was calculated to be less than
1.0 would run all hosts as the value for a rolling update.
The error is due to the fact that Python will round a
float that is under 1.0 to 0, which will trigger the case of
0 hosts. The 0 host case tells ansible to run all hosts.
The fix will see if the percentage calculation after int
conversion is 0 and will else to 1 host.
* Unit tests exposed a problem where nested blocks did not correctly
hit rescue/always portions of parent blocks
* Cleaned up logic in PlayIterator
* Unfortunately fixing the above exposed a potential problem in the
block integration tests, where a failure in an "always" section may
always lead to a failed state and the termination of execution
beyond that point, so certain parts of the block integration test
were disabled.
- now workers passes queue to task_executor so it can send back events per item and on retry attempt
- updated result class to pass along events to strategy
- base strategy updated to forward new events to callback
- callbacks now remove 'items' on final result but process them directly when invoked per item
- new callback method to deal with retry attempt messages (also now obeys nolog)
- updated tests to match new signature of task_executor
fixes#14558fixes#14072
The full error was
======================================================================
ERROR: test_task_executor_execute (units.executor.test_task_executor.TestTaskExecutor)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/mg/src/ansible/test/units/executor/test_task_executor.py", line 252, in test_task_executor_execute
mock_action.run.return_value = dict(ansible_facts=dict())
File "/home/mg/src/ansible/lib/ansible/executor/task_executor.py", line 317, in _execute
if self._task.async > 0:
TypeError: unorderable types: MagicMock() > int()
----------------------------------------------------------------------
Experiments show that Python 2 MagicMock() > 0 is true, so I'm setting
the async property on mock_task to 1. (If I set it to 0, the test fails
anyway.)
Also making PlayContext a child class of the Playbook Base class,
which gives it access to all of the FieldAttribute code to ensure
field values are correctly typed after post_validation
Fixes#11381
