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Increase the timeout of diagnoser job completion to 180 sec #5136

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Jul 20, 2022
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Increase the timeout of diagnoser job completion to 180 sec #5136

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5 changes: 5 additions & 0 deletions src/connectedk8s/HISTORY.rst
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Expand Up @@ -2,6 +2,11 @@

Release History
===============
1.2.11
++++++

* Increased the timeout of diagnoser job completion to 180 seconds

1.2.10
++++++

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2 changes: 1 addition & 1 deletion src/connectedk8s/azext_connectedk8s/_troubleshootutils.py
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Expand Up @@ -638,7 +638,7 @@ def executing_diagnoser_job(corev1_api_instance, batchv1_api_instance, filepath_
is_job_complete = False
is_job_scheduled = False
# To watch for changes in the pods states till it reach completed state or exit if it takes more than 60 seconds
for event in w.stream(batchv1_api_instance.list_namespaced_job, namespace='azure-arc', label_selector="", timeout_seconds=60):
for event in w.stream(batchv1_api_instance.list_namespaced_job, namespace='azure-arc', label_selector="", timeout_seconds=180):
try:
# Checking if job get scheduled or not
if event["object"].metadata.name == "azure-arc-diagnoser-job":
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2 changes: 1 addition & 1 deletion src/connectedk8s/setup.py
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Expand Up @@ -17,7 +17,7 @@
# TODO: Confirm this is the right version number you want and it matches your
# HISTORY.rst entry.

VERSION = '1.2.10'
VERSION = '1.2.11'

# The full list of classifiers is available at
# https://pypi.python.org/pypi?%3Aaction=list_classifiers
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