airship
/
shipyard
Code Issues Proposed changes

Improve logging of Shipyard _execute_task method during failure or time out 

In the case where a Drydock task either fails or times out, it is not very
clear which Drydock task is being referred to. This commit updates the log
messages to include the Drydock task-id that has either failed or timed out.
Additionally, debug logging is added to log the Drydock task status. The reason
for this is because there are situations where a Drydock task is still running,
but on the Shipyard side the task has timed out and therefore, Shipyard shows
the task (i.e. prepare_nodes or deploy_nodes) as failed. It is good to get a point
in time reference to the task state for a couple of reasons:
1) To verify via logging that Shipyard is reporting Drydock tasks (success,
   failures, partial_successes, etc) accurately
2) Later on if Drydock shows a node as deployed, then the task can be
   queried and the state can be checked to see if the task was indeed a success.

Change-Id: I7050338e2f92ad548e639e2ea4059a520c27e686
This commit is contained in:
Bartra, Rick (rb560u) 2020-08-26 12:54:49 -04:00
parent a5e57879ab
commit 1ae9a7c4be
1 changed files with 14 additions and 5 deletions
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19
src/bin/shipyard_airflow/shipyard_airflow/plugins/drydock_nodes.py
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@ -245,6 +245,7 @@ class DrydockNodesOperator(DrydockBaseOperator):
"""
self.create_task(task_name)
result = QueryTaskResult(self.drydock_task_id, task_name)
task_dict = self.get_task_dict(self.drydock_task_id)
try:
self.query_task(interval, timeout)
@ -252,17 +253,25 @@ class DrydockNodesOperator(DrydockBaseOperator):
# Task failure may be successful enough based on success criteria.
# This should not halt the overall flow of this workflow step.
LOG.warn(
"Task %s has failed. Logs contain details of the failure. "
"Some nodes may be succesful, processing continues", task_name
"Task %s with Drydock task-id: %s has failed. Logs contain "
"details of the failure. Some nodes may be succesful, "
"processing continues", task_name, self.drydock_task_id
)
LOG.debug(
"Current state of failed Drydock task %s: %s",
self.drydock_task_id, task_dict)
except DrydockTaskTimeoutException:
# Task timeout may be successful enough based on success criteria.
# This should not halt the overall flow of this workflow step.
LOG.warn(
"Task %s has timed out after %s seconds. Logs contain details "
"of the failure. Some nodes may be succesful, processing "
"continues", task_name, timeout
"Task %s with Drydock task-id: %s has timed out after %s "
"seconds. Logs contain details of the failure. Some nodes may "
"be succesful, processing continues", task_name,
self.drydock_task_id, timeout
)
LOG.debug(
"Current state of timed out Drydock task %s: %s",
self.drydock_task_id, task_dict)
# Other AirflowExceptions will fail the whole task - let them do this.
# find successes