Comments (10)
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area/engprod | 0.74 |
kind/feature | 0.87 |
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Getting a weird kubernetes client issue when running the tests.
self = <kubernetes.config.kube_config.KubeConfigLoader object at 0x7f12cc3197c0>
def _refresh_gcp_token(self):
if 'config' not in self._user['auth-provider']:
self._user['auth-provider'].value['config'] = {}
provider = self._user['auth-provider']['config']
credentials = self._get_google_credentials()
provider.value['access-token'] = credentials.token
provider.value['expiry'] = format_rfc3339(credentials.expiry)
if self._config_persister:
> self._config_persister()
E TypeError: _save_kube_config() missing 1 required positional argument: 'config_map'
/usr/local/lib/python3.8/dist-packages/kubernetes/config/kube_config.py:363: TypeError
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Here's the full stacktrace
kf_is_ready_test.py:70: in check_deployments_ready
util.load_kube_config()
/srcCache/kubeflow/testing/py/kubeflow/testing/util.py:814: in load_kube_config
loader.load_and_set(config) # pylint: disable=too-many-function-args
/usr/local/lib/python3.8/dist-packages/kubernetes/config/kube_config.py:550: in load_and_set
self._load_authentication()
/usr/local/lib/python3.8/dist-packages/kubernetes/config/kube_config.py:278: in _load_authentication
if self._load_auth_provider_token():
/usr/local/lib/python3.8/dist-packages/kubernetes/config/kube_config.py:293: in _load_auth_provider_token
return self._load_gcp_token(provider)
/usr/local/lib/python3.8/dist-packages/kubernetes/config/kube_config.py:350: in _load_gcp_token
self._refresh_gcp_token()
It looks like the version of kubernetes
lib in the container is "11.0.0" locally I have "9.0.0".
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Issue-Label Bot is automatically applying the labels:
Label | Probability |
---|---|
platform/gcp | 0.73 |
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from kubeflow-distribution.
Dashboard:
https://k8s-testgrid.appspot.com/sig-big-data#kubeflow-gcp-blueprints-master-periodic
Tests are running regularly but some of the tests are failing.
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@Bobgy The test is passing can we close this?
https://k8s-testgrid.appspot.com/sig-big-data#kubeflow-gcp-blueprints-master-periodic&group-by-hierarchy-pattern=%5B%5Cw-%5D%2B
from kubeflow-distribution.
looks like kf_is_ready and metadata_is_ready tests are not passing yet, did you see them?
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Or is this issue just for setting up the test, then I have no objection
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/area gcp-blueprints
/priority p2
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/priority p2
from kubeflow-distribution.
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