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Merged
merged 1 commit into from
Mar 5, 2020
Merged

Revert "Temporarily disabling PR project mappings" #59491

merged 1 commit into from
Mar 5, 2020

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@alexh97
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@alexh97 alexh97 commented Mar 5, 2020

Reverts #59485. Looks like this syntax doesn't work.

@alexh97 alexh97 merged commit c3f8647 into master Mar 5, 2020
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kibanamachine commented Mar 6, 2020

💔 Build Failed

Test Failures

Kibana Pipeline / kibana-xpack-agent / Chrome X-Pack UI Functional Tests.x-pack/test/functional/apps/machine_learning/anomaly_detection/date_nanos_job·ts.machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation enables the dedicated index switch

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Failed Tests Reporter:
  - Test has failed 4 times on tracked branches: https://github.com/elastic/kibana/issues/59419

[00:00:00]       │
[00:06:55]         └-: machine learning
[00:06:55]           └-> "before all" hook
[00:06:55]           └-> "before all" hook
[00:06:55]             │ debg creating role ml_source
[00:06:55]             │ info [o.e.x.s.a.r.TransportPutRoleAction] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] added role [ml_source]
[00:06:55]             │ debg created role ml_source
[00:06:55]             │ debg creating role ml_dest
[00:06:55]             │ info [o.e.x.s.a.r.TransportPutRoleAction] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] added role [ml_dest]
[00:06:55]             │ debg created role ml_dest
[00:06:55]             │ debg creating role ml_dest_readonly
[00:06:55]             │ info [o.e.x.s.a.r.TransportPutRoleAction] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] added role [ml_dest_readonly]
[00:06:55]             │ debg created role ml_dest_readonly
[00:06:55]             │ debg creating role ml_ui_extras
[00:06:55]             │ info [o.e.x.s.a.r.TransportPutRoleAction] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] added role [ml_ui_extras]
[00:06:55]             │ debg created role ml_ui_extras
[00:06:55]             │ debg creating user ml_poweruser
[00:06:55]             │ info [o.e.x.s.a.u.TransportPutUserAction] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] added user [ml_poweruser]
[00:06:55]             │ debg created user ml_poweruser
[00:06:55]             │ debg creating user ml_viewer
[00:06:56]             │ info [o.e.x.s.a.u.TransportPutUserAction] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] added user [ml_viewer]
[00:06:56]             │ debg created user ml_viewer
[00:09:48]           └-: anomaly detection
[00:09:48]             └-> "before all" hook
[00:34:39]             └-: job on data set with date_nanos time field
[00:34:39]               └-> "before all" hook
[00:34:39]               └-> "before all" hook
[00:34:39]                 │ info [ml/event_rate_nanos] Loading "mappings.json"
[00:34:39]                 │ info [ml/event_rate_nanos] Loading "data.json.gz"
[00:34:39]                 │ info [o.e.c.m.MetaDataCreateIndexService] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] [event_rate_gen_trend_nanos] creating index, cause [api], templates [], shards [1]/[0], mappings [_doc]
[00:34:39]                 │ info [o.e.c.r.a.AllocationService] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] Cluster health status changed from [YELLOW] to [GREEN] (reason: [shards started [[event_rate_gen_trend_nanos][0]]]).
[00:34:39]                 │ info [ml/event_rate_nanos] Created index "event_rate_gen_trend_nanos"
[00:34:39]                 │ debg [ml/event_rate_nanos] "event_rate_gen_trend_nanos" settings {"index":{"number_of_replicas":"0","number_of_shards":"1"}}
[00:34:39]                 │ info [o.e.c.m.MetaDataDeleteIndexService] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] [.kibana_2/RjaTGV08Tz2Smmy8stFrTQ] deleting index
[00:34:39]                 │ info [o.e.c.m.MetaDataDeleteIndexService] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] [.kibana_1/VQ6-X8hdQ2yOBrGYljl2aQ] deleting index
[00:34:39]                 │ info [ml/event_rate_nanos] Deleted existing index [".kibana_2",".kibana_1"]
[00:34:39]                 │ info [o.e.c.m.MetaDataCreateIndexService] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] [.kibana_1] creating index, cause [api], templates [], shards [1]/[0], mappings [_doc]
[00:34:39]                 │ info [o.e.c.r.a.AllocationService] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] Cluster health status changed from [YELLOW] to [GREEN] (reason: [shards started [[.kibana_1][0]]]).
[00:34:39]                 │ info [ml/event_rate_nanos] Created index ".kibana_1"
[00:34:39]                 │ debg [ml/event_rate_nanos] ".kibana_1" settings {"index":{"auto_expand_replicas":"0-1","number_of_replicas":"0","number_of_shards":"1"}}
[00:34:44]                 │ info [ml/event_rate_nanos] Indexed 105120 docs into "event_rate_gen_trend_nanos"
[00:34:44]                 │ info [ml/event_rate_nanos] Indexed 4 docs into ".kibana_1"
[00:34:44]                 │ info [o.e.c.m.MetaDataMappingService] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] [.kibana_1/2DDALCfzRcOQXZztWpY7NA] update_mapping [_doc]
[00:34:44]                 │ debg Migrating saved objects
[00:34:45]                 │ proc [kibana]   log   [00:14:03.728] [info][savedobjects-service] Detected mapping change in "dynamic"
[00:34:45]                 │ proc [kibana]   log   [00:14:03.730] [info][savedobjects-service] Creating index .kibana_2.
[00:34:45]                 │ info [o.e.c.m.MetaDataCreateIndexService] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] [.kibana_2] creating index, cause [api], templates [], shards [1]/[1], mappings [_doc]
[00:34:45]                 │ info [o.e.c.r.a.AllocationService] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] updating number_of_replicas to [0] for indices [.kibana_2]
[00:34:45]                 │ info [o.e.c.r.a.AllocationService] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] Cluster health status changed from [YELLOW] to [GREEN] (reason: [shards started [[.kibana_2][0]]]).
[00:34:45]                 │ proc [kibana]   log   [00:14:03.789] [info][savedobjects-service] Migrating .kibana_1 saved objects to .kibana_2
[00:34:45]                 │ info [o.e.c.m.MetaDataMappingService] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] [.kibana_2/PBo9p7K8TLivY3tL7ukJcQ] update_mapping [_doc]
[00:34:45]                 │ info [o.e.c.m.MetaDataMappingService] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] [.kibana_2/PBo9p7K8TLivY3tL7ukJcQ] update_mapping [_doc]
[00:34:45]                 │ info [o.e.c.m.MetaDataMappingService] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] [.kibana_2/PBo9p7K8TLivY3tL7ukJcQ] update_mapping [_doc]
[00:34:45]                 │ proc [kibana]   log   [00:14:03.898] [info][savedobjects-service] Pointing alias .kibana to .kibana_2.
[00:34:45]                 │ proc [kibana]   log   [00:14:03.948] [info][savedobjects-service] Finished in 219ms.
[00:34:45]                 │ debg SecurityPage.forceLogout
[00:34:45]                 │ debg Find.existsByDisplayedByCssSelector('.login-form') with timeout=100
[00:34:45]                 │ debg --- retry.tryForTime error: .login-form is not displayed
[00:34:46]                 │ debg Redirecting to /logout to force the logout
[00:34:46]                 │ debg Waiting on the login form to appear
[00:34:46]                 │ debg Waiting up to 100000ms for login form...
[00:34:46]                 │ debg Find.existsByDisplayedByCssSelector('.login-form') with timeout=2500
[00:34:46]                 │ debg browser[INFO] http://localhost:6131/logout?_t=1583453644582 350 Refused to execute inline script because it violates the following Content Security Policy directive: "script-src 'unsafe-eval' 'self'". Either the 'unsafe-inline' keyword, a hash ('sha256-P5polb1UreUSOe5V/Pv7tc+yeZuJXiOi/3fqhGsU7BE='), or a nonce ('nonce-...') is required to enable inline execution.
[00:34:46]                 │
[00:34:46]                 │ debg browser[INFO] http://localhost:6131/bundles/app/core/bootstrap.js 9:19 "^ A single error about an inline script not firing due to content security policy is expected!"
[00:34:49]                 │ debg --- retry.tryForTime error: .login-form is not displayed
[00:34:50]                 │ debg browser[INFO] http://localhost:6131/bundles/plugin/data/data.plugin.js 90:139970 "INFO: 2020-03-06T00:14:08Z
[00:34:50]                 │        Adding connection to http://localhost:6131/elasticsearch
[00:34:50]                 │
[00:34:50]                 │      "
[00:34:50]                 │ debg browser[INFO] http://localhost:6131/login?_t=1583453644582 350 Refused to execute inline script because it violates the following Content Security Policy directive: "script-src 'unsafe-eval' 'self'". Either the 'unsafe-inline' keyword, a hash ('sha256-P5polb1UreUSOe5V/Pv7tc+yeZuJXiOi/3fqhGsU7BE='), or a nonce ('nonce-...') is required to enable inline execution.
[00:34:50]                 │
[00:34:50]                 │ debg browser[INFO] http://localhost:6131/bundles/app/core/bootstrap.js 9:19 "^ A single error about an inline script not firing due to content security policy is expected!"
[00:34:50]                 │ debg Find.existsByDisplayedByCssSelector('.login-form') with timeout=2500
[00:34:53]                 │ debg browser[INFO] http://localhost:6131/bundles/plugin/data/data.plugin.js 90:139970 "INFO: 2020-03-06T00:14:11Z
[00:34:53]                 │        Adding connection to http://localhost:6131/elasticsearch
[00:34:53]                 │
[00:34:53]                 │      "
[00:34:53]                 │ debg navigating to login url: http://localhost:6131/login
[00:34:53]                 │ debg Navigate to: http://localhost:6131/login
[00:34:53]                 │ debg ... sleep(700) start
[00:34:53]                 │ debg browser[INFO] http://localhost:6131/login?_t=1583453651771 350 Refused to execute inline script because it violates the following Content Security Policy directive: "script-src 'unsafe-eval' 'self'". Either the 'unsafe-inline' keyword, a hash ('sha256-P5polb1UreUSOe5V/Pv7tc+yeZuJXiOi/3fqhGsU7BE='), or a nonce ('nonce-...') is required to enable inline execution.
[00:34:53]                 │
[00:34:53]                 │ debg browser[INFO] http://localhost:6131/bundles/app/core/bootstrap.js 9:19 "^ A single error about an inline script not firing due to content security policy is expected!"
[00:34:54]                 │ debg ... sleep(700) end
[00:34:54]                 │ debg returned from get, calling refresh
[00:34:54]                 │ debg browser[INFO] http://localhost:6131/login?_t=1583453651771 350 Refused to execute inline script because it violates the following Content Security Policy directive: "script-src 'unsafe-eval' 'self'". Either the 'unsafe-inline' keyword, a hash ('sha256-P5polb1UreUSOe5V/Pv7tc+yeZuJXiOi/3fqhGsU7BE='), or a nonce ('nonce-...') is required to enable inline execution.
[00:34:54]                 │
[00:34:54]                 │ debg browser[INFO] http://localhost:6131/bundles/app/core/bootstrap.js 9:19 "^ A single error about an inline script not firing due to content security policy is expected!"
[00:34:54]                 │ debg currentUrl = http://localhost:6131/login
[00:34:54]                 │          appUrl = http://localhost:6131/login
[00:34:54]                 │ debg Find.findByCssSelector('[data-test-subj="kibanaChrome"]') with timeout=60000
[00:34:56]                 │ debg browser[INFO] http://localhost:6131/bundles/plugin/data/data.plugin.js 90:139970 "INFO: 2020-03-06T00:14:14Z
[00:34:56]                 │        Adding connection to http://localhost:6131/elasticsearch
[00:34:56]                 │
[00:34:56]                 │      "
[00:34:56]                 │ debg ... sleep(501) start
[00:34:57]                 │ debg ... sleep(501) end
[00:34:57]                 │ debg in navigateTo url = http://localhost:6131/login
[00:34:57]                 │ debg TestSubjects.exists(statusPageContainer)
[00:34:57]                 │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="statusPageContainer"]') with timeout=2500
[00:34:59]                 │ debg --- retry.tryForTime error: [data-test-subj="statusPageContainer"] is not displayed
[00:35:00]                 │ debg TestSubjects.setValue(loginUsername, ml_poweruser)
[00:35:00]                 │ debg TestSubjects.click(loginUsername)
[00:35:00]                 │ debg Find.clickByCssSelector('[data-test-subj="loginUsername"]') with timeout=10000
[00:35:00]                 │ debg Find.findByCssSelector('[data-test-subj="loginUsername"]') with timeout=10000
[00:35:00]                 │ debg TestSubjects.setValue(loginPassword, mlp001)
[00:35:00]                 │ debg TestSubjects.click(loginPassword)
[00:35:00]                 │ debg Find.clickByCssSelector('[data-test-subj="loginPassword"]') with timeout=10000
[00:35:00]                 │ debg Find.findByCssSelector('[data-test-subj="loginPassword"]') with timeout=10000
[00:35:00]                 │ debg TestSubjects.click(loginSubmit)
[00:35:00]                 │ debg Find.clickByCssSelector('[data-test-subj="loginSubmit"]') with timeout=10000
[00:35:00]                 │ debg Find.findByCssSelector('[data-test-subj="loginSubmit"]') with timeout=10000
[00:35:00]                 │ debg Find.findByCssSelector('[data-test-subj="kibanaChrome"] nav:not(.ng-hide) ') with timeout=20000
[00:35:05]                 │ debg browser[INFO] http://localhost:6131/app/kibana 350 Refused to execute inline script because it violates the following Content Security Policy directive: "script-src 'unsafe-eval' 'self'". Either the 'unsafe-inline' keyword, a hash ('sha256-P5polb1UreUSOe5V/Pv7tc+yeZuJXiOi/3fqhGsU7BE='), or a nonce ('nonce-...') is required to enable inline execution.
[00:35:05]                 │
[00:35:05]                 │ debg browser[INFO] http://localhost:6131/bundles/app/kibana/bootstrap.js 9:19 "^ A single error about an inline script not firing due to content security policy is expected!"
[00:35:05]                 │ debg browser[INFO] http://localhost:6131/bundles/plugin/data/data.plugin.js 90:139970 "INFO: 2020-03-06T00:14:21Z
[00:35:05]                 │        Adding connection to http://localhost:6131/elasticsearch
[00:35:05]                 │
[00:35:05]                 │      "
[00:35:05]                 │ debg Finished login process currentUrl = http://localhost:6131/app/kibana#/home
[00:35:05]                 │ debg Waiting up to 20000ms for logout button visible...
[00:35:05]                 │ debg TestSubjects.exists(userMenuButton)
[00:35:05]                 │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="userMenuButton"]') with timeout=2500
[00:35:05]                 │ debg TestSubjects.exists(userMenu)
[00:35:05]                 │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="userMenu"]') with timeout=2500
[00:35:07]                 │ debg --- retry.tryForTime error: [data-test-subj="userMenu"] is not displayed
[00:35:08]                 │ debg TestSubjects.click(userMenuButton)
[00:35:08]                 │ debg Find.clickByCssSelector('[data-test-subj="userMenuButton"]') with timeout=10000
[00:35:08]                 │ debg Find.findByCssSelector('[data-test-subj="userMenuButton"]') with timeout=10000
[00:35:08]                 │ debg Waiting up to 20000ms for user menu opened...
[00:35:08]                 │ debg TestSubjects.exists(userMenu)
[00:35:08]                 │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="userMenu"]') with timeout=2500
[00:35:08]                 │ debg TestSubjects.exists(userMenu > logoutLink)
[00:35:08]                 │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="userMenu"] [data-test-subj="logoutLink"]') with timeout=2500
[00:35:08]               └-: with count detector and model plot disabled
[00:35:08]                 └-> "before all" hook
[00:35:08]                 └-> job creation loads the job management page
[00:35:08]                   └-> "before each" hook: global before each
[00:35:08]                   │ debg navigating to ml url: http://localhost:6131/app/ml
[00:35:08]                   │ debg Navigate to: http://localhost:6131/app/ml
[00:35:08]                   │ debg ... sleep(700) start
[00:35:08]                   │ debg browser[INFO] http://localhost:6131/app/ml?_t=1583453666844 350 Refused to execute inline script because it violates the following Content Security Policy directive: "script-src 'unsafe-eval' 'self'". Either the 'unsafe-inline' keyword, a hash ('sha256-P5polb1UreUSOe5V/Pv7tc+yeZuJXiOi/3fqhGsU7BE='), or a nonce ('nonce-...') is required to enable inline execution.
[00:35:08]                   │
[00:35:08]                   │ debg browser[INFO] http://localhost:6131/bundles/app/ml/bootstrap.js 9:19 "^ A single error about an inline script not firing due to content security policy is expected!"
[00:35:09]                   │ debg ... sleep(700) end
[00:35:09]                   │ debg returned from get, calling refresh
[00:35:09]                   │ debg browser[INFO] http://localhost:6131/app/ml?_t=1583453666844 350 Refused to execute inline script because it violates the following Content Security Policy directive: "script-src 'unsafe-eval' 'self'". Either the 'unsafe-inline' keyword, a hash ('sha256-P5polb1UreUSOe5V/Pv7tc+yeZuJXiOi/3fqhGsU7BE='), or a nonce ('nonce-...') is required to enable inline execution.
[00:35:09]                   │
[00:35:09]                   │ debg browser[INFO] http://localhost:6131/bundles/app/ml/bootstrap.js 9:19 "^ A single error about an inline script not firing due to content security policy is expected!"
[00:35:09]                   │ debg currentUrl = http://localhost:6131/app/ml
[00:35:09]                   │          appUrl = http://localhost:6131/app/ml
[00:35:09]                   │ debg Find.findByCssSelector('[data-test-subj="kibanaChrome"]') with timeout=60000
[00:35:12]                   │ debg browser[INFO] http://localhost:6131/bundles/plugin/data/data.plugin.js 90:139970 "INFO: 2020-03-06T00:14:30Z
[00:35:12]                   │        Adding connection to http://localhost:6131/elasticsearch
[00:35:12]                   │
[00:35:12]                   │      "
[00:35:12]                   │ debg ... sleep(501) start
[00:35:13]                   │ debg ... sleep(501) end
[00:35:13]                   │ debg in navigateTo url = http://localhost:6131/app/ml#/overview?_g=(refreshInterval:(pause:!t,value:0))
[00:35:13]                   │ debg --- retry.try error: URL changed, waiting for it to settle
[00:35:13]                   │ debg ... sleep(501) start
[00:35:14]                   │ debg ... sleep(501) end
[00:35:14]                   │ debg in navigateTo url = http://localhost:6131/app/ml#/overview?_g=(refreshInterval:(pause:!t,value:0))
[00:35:14]                   │ debg TestSubjects.exists(statusPageContainer)
[00:35:14]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="statusPageContainer"]') with timeout=2500
[00:35:16]                   │ debg --- retry.tryForTime error: [data-test-subj="statusPageContainer"] is not displayed
[00:35:17]                   │ debg TestSubjects.click(~mlMainTab & ~anomalyDetection)
[00:35:17]                   │ debg Find.clickByCssSelector('[data-test-subj~="mlMainTab"][data-test-subj~="anomalyDetection"]') with timeout=10000
[00:35:17]                   │ debg Find.findByCssSelector('[data-test-subj~="mlMainTab"][data-test-subj~="anomalyDetection"]') with timeout=10000
[00:35:17]                   │ debg TestSubjects.exists(~mlMainTab & ~anomalyDetection & ~selected)
[00:35:17]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj~="mlMainTab"][data-test-subj~="anomalyDetection"][data-test-subj~="selected"]') with timeout=120000
[00:35:17]                   │ debg TestSubjects.exists(mlPageJobManagement)
[00:35:17]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlPageJobManagement"]') with timeout=120000
[00:35:17]                   │ debg TestSubjects.findAll(~mlSubTab)
[00:35:17]                   │ debg Find.allByCssSelector('[data-test-subj~="mlSubTab"]') with timeout=3
[00:35:17]                   │ debg TestSubjects.exists(~mlSubTab&~jobManagement)
[00:35:17]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj~="mlSubTab"][data-test-subj~="jobManagement"]') with timeout=1000
[00:35:17]                   │ debg TestSubjects.exists(~mlSubTab&~anomalyExplorer)
[00:35:17]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj~="mlSubTab"][data-test-subj~="anomalyExplorer"]') with timeout=1000
[00:35:17]                   │ debg TestSubjects.exists(~mlSubTab&~singleMetricViewer)
[00:35:17]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj~="mlSubTab"][data-test-subj~="singleMetricViewer"]') with timeout=1000
[00:35:17]                   │ debg TestSubjects.exists(~mlSubTab&~settings)
[00:35:17]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj~="mlSubTab"][data-test-subj~="settings"]') with timeout=1000
[00:35:17]                   │ debg TestSubjects.click(~mlSubTab & ~jobManagement)
[00:35:17]                   │ debg Find.clickByCssSelector('[data-test-subj~="mlSubTab"][data-test-subj~="jobManagement"]') with timeout=10000
[00:35:17]                   │ debg Find.findByCssSelector('[data-test-subj~="mlSubTab"][data-test-subj~="jobManagement"]') with timeout=10000
[00:35:17]                   │ debg TestSubjects.exists(~mlSubTab & ~jobManagement & ~selected)
[00:35:17]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj~="mlSubTab"][data-test-subj~="jobManagement"][data-test-subj~="selected"]') with timeout=120000
[00:35:17]                   │ debg TestSubjects.exists(mlPageJobManagement)
[00:35:17]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlPageJobManagement"]') with timeout=120000
[00:35:17]                   └- ✓ pass  (9.4s) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation loads the job management page"
[00:35:17]                 └-> job creation loads the new job source selection page
[00:35:17]                   └-> "before each" hook: global before each
[00:35:17]                   │ debg TestSubjects.clickWhenNotDisabled(mlCreateNewJobButton)
[00:35:17]                   │ debg Find.clickByCssSelectorWhenNotDisabled('[data-test-subj="mlCreateNewJobButton"]') with timeout=10000
[00:35:17]                   │ debg Find.findByCssSelector('[data-test-subj="mlCreateNewJobButton"]') with timeout=10000
[00:35:17]                   │ debg TestSubjects.exists(mlPageSourceSelection)
[00:35:17]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlPageSourceSelection"]') with timeout=120000
[00:35:18]                   └- ✓ pass  (302ms) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation loads the new job source selection page"
[00:35:18]                 └-> job creation loads the job type selection page
[00:35:18]                   └-> "before each" hook: global before each
[00:35:18]                   │ debg TestSubjects.setValue(savedObjectFinderSearchInput, event_rate_gen_trend_nanos)
[00:35:18]                   │ debg TestSubjects.click(savedObjectFinderSearchInput)
[00:35:18]                   │ debg Find.clickByCssSelector('[data-test-subj="savedObjectFinderSearchInput"]') with timeout=10000
[00:35:18]                   │ debg Find.findByCssSelector('[data-test-subj="savedObjectFinderSearchInput"]') with timeout=10000
[00:35:18]                   │ debg TestSubjects.exists(savedObjectTitleevent_rate_gen_trend_nanos)
[00:35:18]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="savedObjectTitleevent_rate_gen_trend_nanos"]') with timeout=120000
[00:35:18]                   │ debg TestSubjects.clickWhenNotDisabled(savedObjectTitleevent_rate_gen_trend_nanos)
[00:35:18]                   │ debg Find.clickByCssSelectorWhenNotDisabled('[data-test-subj="savedObjectTitleevent_rate_gen_trend_nanos"]') with timeout=10000
[00:35:18]                   │ debg Find.findByCssSelector('[data-test-subj="savedObjectTitleevent_rate_gen_trend_nanos"]') with timeout=10000
[00:35:18]                   │ debg TestSubjects.exists(mlPageJobTypeSelection)
[00:35:18]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlPageJobTypeSelection"]') with timeout=10000
[00:35:19]                   └- ✓ pass  (975ms) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation loads the job type selection page"
[00:35:19]                 └-> job creation loads the advanced job wizard page
[00:35:19]                   └-> "before each" hook: global before each
[00:35:19]                   │ debg TestSubjects.clickWhenNotDisabled(mlJobTypeLinkAdvancedJob)
[00:35:19]                   │ debg Find.clickByCssSelectorWhenNotDisabled('[data-test-subj="mlJobTypeLinkAdvancedJob"]') with timeout=10000
[00:35:19]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobTypeLinkAdvancedJob"]') with timeout=10000
[00:35:19]                   │ debg TestSubjects.exists(mlPageJobWizard advanced)
[00:35:19]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlPageJobWizard advanced"]') with timeout=120000
[00:35:19]                   └- ✓ pass  (369ms) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation loads the advanced job wizard page"
[00:35:19]                 └-> job creation displays the configure datafeed step
[00:35:19]                   └-> "before each" hook: global before each
[00:35:19]                   │ debg TestSubjects.exists(mlJobWizardStepTitleConfigureDatafeed)
[00:35:19]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlJobWizardStepTitleConfigureDatafeed"]') with timeout=120000
[00:35:19]                   └- ✓ pass  (25ms) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation displays the configure datafeed step"
[00:35:19]                 └-> job creation pre-fills the datafeed query editor
[00:35:19]                   └-> "before each" hook: global before each
[00:35:19]                   │ debg TestSubjects.exists(mlAdvancedDatafeedQueryEditor > codeEditorContainer)
[00:35:19]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlAdvancedDatafeedQueryEditor"] [data-test-subj="codeEditorContainer"]') with timeout=120000
[00:35:19]                   │ debg TestSubjects.find(mlAdvancedDatafeedQueryEditor > codeEditorContainer)
[00:35:19]                   │ debg Find.findByCssSelector('[data-test-subj="mlAdvancedDatafeedQueryEditor"] [data-test-subj="codeEditorContainer"]') with timeout=10000
[00:35:19]                   └- ✓ pass  (193ms) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation pre-fills the datafeed query editor"
[00:35:19]                 └-> job creation inputs the query delay
[00:35:19]                   └-> "before each" hook: global before each
[00:35:19]                   │ debg TestSubjects.exists(mlJobWizardInputQueryDelay)
[00:35:19]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlJobWizardInputQueryDelay"]') with timeout=120000
[00:35:19]                   │ debg TestSubjects.getAttribute(mlJobWizardInputQueryDelay, value)
[00:35:19]                   │ debg TestSubjects.find(mlJobWizardInputQueryDelay)
[00:35:19]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardInputQueryDelay"]') with timeout=10000
[00:35:19]                   │ debg TestSubjects.getAttribute(mlJobWizardInputQueryDelay, placeholder)
[00:35:19]                   │ debg TestSubjects.find(mlJobWizardInputQueryDelay)
[00:35:19]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardInputQueryDelay"]') with timeout=10000
[00:35:19]                   └- ✓ pass  (49ms) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation inputs the query delay"
[00:35:19]                 └-> job creation inputs the frequency
[00:35:19]                   └-> "before each" hook: global before each
[00:35:19]                   │ debg TestSubjects.exists(mlJobWizardInputFrequency)
[00:35:19]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlJobWizardInputFrequency"]') with timeout=120000
[00:35:19]                   │ debg TestSubjects.getAttribute(mlJobWizardInputFrequency, value)
[00:35:19]                   │ debg TestSubjects.find(mlJobWizardInputFrequency)
[00:35:19]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardInputFrequency"]') with timeout=10000
[00:35:19]                   │ debg TestSubjects.getAttribute(mlJobWizardInputFrequency, placeholder)
[00:35:19]                   │ debg TestSubjects.find(mlJobWizardInputFrequency)
[00:35:19]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardInputFrequency"]') with timeout=10000
[00:35:19]                   └- ✓ pass  (52ms) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation inputs the frequency"
[00:35:19]                 └-> job creation inputs the scroll size
[00:35:19]                   └-> "before each" hook: global before each
[00:35:19]                   │ debg TestSubjects.exists(mlJobWizardInputScrollSize)
[00:35:19]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlJobWizardInputScrollSize"]') with timeout=120000
[00:35:19]                   │ debg TestSubjects.getAttribute(mlJobWizardInputScrollSize, value)
[00:35:19]                   │ debg TestSubjects.find(mlJobWizardInputScrollSize)
[00:35:19]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardInputScrollSize"]') with timeout=10000
[00:35:19]                   │ debg TestSubjects.getAttribute(mlJobWizardInputScrollSize, placeholder)
[00:35:19]                   │ debg TestSubjects.find(mlJobWizardInputScrollSize)
[00:35:19]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardInputScrollSize"]') with timeout=10000
[00:35:19]                   └- ✓ pass  (49ms) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation inputs the scroll size"
[00:35:19]                 └-> job creation pre-fills the time field
[00:35:19]                   └-> "before each" hook: global before each
[00:35:19]                   │ debg TestSubjects.exists(mlTimeFieldNameSelect > comboBoxInput)
[00:35:19]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlTimeFieldNameSelect"] [data-test-subj="comboBoxInput"]') with timeout=120000
[00:35:19]                   │ debg comboBox.getComboBoxSelectedOptions, comboBoxSelector: mlTimeFieldNameSelect > comboBoxInput
[00:35:19]                   │ debg TestSubjects.find(mlTimeFieldNameSelect > comboBoxInput)
[00:35:19]                   │ debg Find.findByCssSelector('[data-test-subj="mlTimeFieldNameSelect"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:35:19]                   └- ✓ pass  (39ms) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation pre-fills the time field"
[00:35:19]                 └-> job creation displays the pick fields step
[00:35:19]                   └-> "before each" hook: global before each
[00:35:19]                   │ debg TestSubjects.exists(mlJobWizardNavButtonNext)
[00:35:19]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlJobWizardNavButtonNext"]') with timeout=120000
[00:35:19]                   │ debg TestSubjects.clickWhenNotDisabled(mlJobWizardNavButtonNext)
[00:35:19]                   │ debg Find.clickByCssSelectorWhenNotDisabled('[data-test-subj="mlJobWizardNavButtonNext"]') with timeout=10000
[00:35:19]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardNavButtonNext"]') with timeout=10000
[00:35:20]                   │ debg TestSubjects.exists(mlJobWizardStepTitlePickFields)
[00:35:20]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlJobWizardStepTitlePickFields"]') with timeout=120000
[00:35:20]                   └- ✓ pass  (208ms) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation displays the pick fields step"
[00:35:20]                 └-> job creation selects the summary count field
[00:35:20]                   └-> "before each" hook: global before each
[00:35:20]                   │ debg TestSubjects.exists(mlSummaryCountFieldNameSelect > comboBoxInput)
[00:35:20]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlSummaryCountFieldNameSelect"] [data-test-subj="comboBoxInput"]') with timeout=120000
[00:35:20]                   │ debg comboBox.set, comboBoxSelector: mlSummaryCountFieldNameSelect > comboBoxInput
[00:35:20]                   │ debg TestSubjects.find(mlSummaryCountFieldNameSelect > comboBoxInput)
[00:35:20]                   │ debg Find.findByCssSelector('[data-test-subj="mlSummaryCountFieldNameSelect"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:35:20]                   │ debg comboBox.setElement, value: count
[00:35:20]                   │ debg comboBox.isOptionSelected, value: count
[00:35:22]                   │ debg TestSubjects.exists(~comboBoxOptionsList)
[00:35:22]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj~="comboBoxOptionsList"]') with timeout=2500
[00:35:22]                   │ debg Find.allByCssSelector('.euiFilterSelectItem[title^="count"]') with timeout=2500
[00:35:22]                   │ debg TestSubjects.exists(~comboBoxOptionsList)
[00:35:22]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj~="comboBoxOptionsList"]') with timeout=2500
[00:35:24]                   │ debg --- retry.tryForTime error: [data-test-subj~="comboBoxOptionsList"] is not displayed
[00:35:25]                   │ debg comboBox.getComboBoxSelectedOptions, comboBoxSelector: mlSummaryCountFieldNameSelect > comboBoxInput
[00:35:25]                   │ debg TestSubjects.find(mlSummaryCountFieldNameSelect > comboBoxInput)
[00:35:25]                   │ debg Find.findByCssSelector('[data-test-subj="mlSummaryCountFieldNameSelect"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:35:25]                   └- ✓ pass  (5.4s) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation selects the summary count field"
[00:35:25]                 └-> job creation adds detectors
[00:35:25]                   └-> "before each" hook: global before each
[00:35:25]                   │ debg TestSubjects.click(mlAddDetectorButton)
[00:35:25]                   │ debg Find.clickByCssSelector('[data-test-subj="mlAddDetectorButton"]') with timeout=10000
[00:35:25]                   │ debg Find.findByCssSelector('[data-test-subj="mlAddDetectorButton"]') with timeout=10000
[00:35:25]                   │ debg TestSubjects.exists(mlCreateDetectorModal)
[00:35:25]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlCreateDetectorModal"]') with timeout=5000
[00:35:25]                   │ debg TestSubjects.exists(mlAdvancedFunctionSelect > comboBoxInput)
[00:35:25]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlAdvancedFunctionSelect"] [data-test-subj="comboBoxInput"]') with timeout=120000
[00:35:25]                   │ debg comboBox.getComboBoxSelectedOptions, comboBoxSelector: mlAdvancedFunctionSelect > comboBoxInput
[00:35:25]                   │ debg TestSubjects.find(mlAdvancedFunctionSelect > comboBoxInput)
[00:35:25]                   │ debg Find.findByCssSelector('[data-test-subj="mlAdvancedFunctionSelect"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:35:25]                   │ debg TestSubjects.exists(mlAdvancedFieldSelect > comboBoxInput)
[00:35:25]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlAdvancedFieldSelect"] [data-test-subj="comboBoxInput"]') with timeout=120000
[00:35:25]                   │ debg comboBox.getComboBoxSelectedOptions, comboBoxSelector: mlAdvancedFieldSelect > comboBoxInput
[00:35:25]                   │ debg TestSubjects.find(mlAdvancedFieldSelect > comboBoxInput)
[00:35:25]                   │ debg Find.findByCssSelector('[data-test-subj="mlAdvancedFieldSelect"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:35:25]                   │ debg TestSubjects.exists(mlAdvancedByFieldSelect > comboBoxInput)
[00:35:25]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlAdvancedByFieldSelect"] [data-test-subj="comboBoxInput"]') with timeout=120000
[00:35:25]                   │ debg comboBox.getComboBoxSelectedOptions, comboBoxSelector: mlAdvancedByFieldSelect > comboBoxInput
[00:35:25]                   │ debg TestSubjects.find(mlAdvancedByFieldSelect > comboBoxInput)
[00:35:25]                   │ debg Find.findByCssSelector('[data-test-subj="mlAdvancedByFieldSelect"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:35:25]                   │ debg TestSubjects.exists(mlAdvancedOverFieldSelect > comboBoxInput)
[00:35:25]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlAdvancedOverFieldSelect"] [data-test-subj="comboBoxInput"]') with timeout=120000
[00:35:25]                   │ debg comboBox.getComboBoxSelectedOptions, comboBoxSelector: mlAdvancedOverFieldSelect > comboBoxInput
[00:35:25]                   │ debg TestSubjects.find(mlAdvancedOverFieldSelect > comboBoxInput)
[00:35:25]                   │ debg Find.findByCssSelector('[data-test-subj="mlAdvancedOverFieldSelect"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:35:25]                   │ debg TestSubjects.exists(mlAdvancedPartitionFieldSelect > comboBoxInput)
[00:35:25]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlAdvancedPartitionFieldSelect"] [data-test-subj="comboBoxInput"]') with timeout=120000
[00:35:25]                   │ debg comboBox.getComboBoxSelectedOptions, comboBoxSelector: mlAdvancedPartitionFieldSelect > comboBoxInput
[00:35:25]                   │ debg TestSubjects.find(mlAdvancedPartitionFieldSelect > comboBoxInput)
[00:35:25]                   │ debg Find.findByCssSelector('[data-test-subj="mlAdvancedPartitionFieldSelect"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:35:25]                   │ debg TestSubjects.exists(mlAdvancedExcludeFrequentSelect > comboBoxInput)
[00:35:25]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlAdvancedExcludeFrequentSelect"] [data-test-subj="comboBoxInput"]') with timeout=120000
[00:35:25]                   │ debg comboBox.getComboBoxSelectedOptions, comboBoxSelector: mlAdvancedExcludeFrequentSelect > comboBoxInput
[00:35:25]                   │ debg TestSubjects.find(mlAdvancedExcludeFrequentSelect > comboBoxInput)
[00:35:25]                   │ debg Find.findByCssSelector('[data-test-subj="mlAdvancedExcludeFrequentSelect"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:35:25]                   │ debg TestSubjects.exists(mlAdvancedDetectorDescriptionInput)
[00:35:25]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlAdvancedDetectorDescriptionInput"]') with timeout=120000
[00:35:25]                   │ debg TestSubjects.getAttribute(mlAdvancedDetectorDescriptionInput, value)
[00:35:25]                   │ debg TestSubjects.find(mlAdvancedDetectorDescriptionInput)
[00:35:25]                   │ debg Find.findByCssSelector('[data-test-subj="mlAdvancedDetectorDescriptionInput"]') with timeout=10000
[00:35:25]                   │ debg comboBox.set, comboBoxSelector: mlAdvancedFunctionSelect > comboBoxInput
[00:35:25]                   │ debg TestSubjects.find(mlAdvancedFunctionSelect > comboBoxInput)
[00:35:25]                   │ debg Find.findByCssSelector('[data-test-subj="mlAdvancedFunctionSelect"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:35:25]                   │ debg comboBox.setElement, value: count
[00:35:25]                   │ debg comboBox.isOptionSelected, value: count
[00:35:28]                   │ debg TestSubjects.exists(~comboBoxOptionsList)
[00:35:28]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj~="comboBoxOptionsList"]') with timeout=2500
[00:35:28]                   │ debg Find.allByCssSelector('.euiFilterSelectItem[title^="count"]') with timeout=2500
[00:35:28]                   │ debg TestSubjects.exists(~comboBoxOptionsList)
[00:35:28]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj~="comboBoxOptionsList"]') with timeout=2500
[00:35:30]                   │ debg --- retry.tryForTime error: [data-test-subj~="comboBoxOptionsList"] is not displayed
[00:35:31]                   │ debg comboBox.getComboBoxSelectedOptions, comboBoxSelector: mlAdvancedFunctionSelect > comboBoxInput
[00:35:31]                   │ debg TestSubjects.find(mlAdvancedFunctionSelect > comboBoxInput)
[00:35:31]                   │ debg Find.findByCssSelector('[data-test-subj="mlAdvancedFunctionSelect"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:35:31]                   │ debg TestSubjects.setValueWithChecks(mlAdvancedDetectorDescriptionInput, event rate)
[00:35:31]                   │ debg TestSubjects.click(mlAdvancedDetectorDescriptionInput)
[00:35:31]                   │ debg Find.clickByCssSelector('[data-test-subj="mlAdvancedDetectorDescriptionInput"]') with timeout=10000
[00:35:31]                   │ debg Find.findByCssSelector('[data-test-subj="mlAdvancedDetectorDescriptionInput"]') with timeout=10000
[00:35:31]                   │ debg TestSubjects.getAttribute(mlAdvancedDetectorDescriptionInput, value)
[00:35:31]                   │ debg TestSubjects.find(mlAdvancedDetectorDescriptionInput)
[00:35:31]                   │ debg Find.findByCssSelector('[data-test-subj="mlAdvancedDetectorDescriptionInput"]') with timeout=10000
[00:35:31]                   │ debg TestSubjects.clickWhenNotDisabled(mlCreateDetectorModalSaveButton)
[00:35:31]                   │ debg Find.clickByCssSelectorWhenNotDisabled('[data-test-subj="mlCreateDetectorModalSaveButton"]') with timeout=10000
[00:35:31]                   │ debg Find.findByCssSelector('[data-test-subj="mlCreateDetectorModalSaveButton"]') with timeout=10000
[00:35:31]                   │ debg TestSubjects.missingOrFail(mlCreateDetectorModal)
[00:35:31]                   │ debg Find.waitForDeletedByCssSelector('[data-test-subj="mlCreateDetectorModal"]') with timeout=2500
[00:35:32]                   └- ✓ pass  (6.9s) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation adds detectors"
[00:35:32]                 └-> job creation displays detector entries
[00:35:32]                   └-> "before each" hook: global before each
[00:35:32]                   │ debg TestSubjects.exists(mlAdvancedDetector 0)
[00:35:32]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlAdvancedDetector 0"]') with timeout=120000
[00:35:32]                   │ debg TestSubjects.getVisibleText(mlAdvancedDetector 0 > mlDetectorIdentifier)
[00:35:32]                   │ debg TestSubjects.find(mlAdvancedDetector 0 > mlDetectorIdentifier)
[00:35:32]                   │ debg Find.findByCssSelector('[data-test-subj="mlAdvancedDetector 0"] [data-test-subj="mlDetectorIdentifier"]') with timeout=10000
[00:35:32]                   │ debg TestSubjects.getVisibleText(mlAdvancedDetector 0 > mlDetectorDescription)
[00:35:32]                   │ debg TestSubjects.find(mlAdvancedDetector 0 > mlDetectorDescription)
[00:35:32]                   │ debg Find.findByCssSelector('[data-test-subj="mlAdvancedDetector 0"] [data-test-subj="mlDetectorDescription"]') with timeout=10000
[00:35:32]                   └- ✓ pass  (77ms) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation displays detector entries"
[00:35:32]                 └-> job creation inputs the bucket span
[00:35:32]                   └-> "before each" hook: global before each
[00:35:32]                   │ debg TestSubjects.exists(mlJobWizardInputBucketSpan)
[00:35:32]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlJobWizardInputBucketSpan"]') with timeout=120000
[00:35:32]                   │ debg TestSubjects.setValueWithChecks(mlJobWizardInputBucketSpan, 30m)
[00:35:32]                   │ debg TestSubjects.click(mlJobWizardInputBucketSpan)
[00:35:32]                   │ debg Find.clickByCssSelector('[data-test-subj="mlJobWizardInputBucketSpan"]') with timeout=10000
[00:35:32]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardInputBucketSpan"]') with timeout=10000
[00:35:33]                   │ debg TestSubjects.getAttribute(mlJobWizardInputBucketSpan, value)
[00:35:33]                   │ debg TestSubjects.find(mlJobWizardInputBucketSpan)
[00:35:33]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardInputBucketSpan"]') with timeout=10000
[00:35:33]                   └- ✓ pass  (558ms) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation inputs the bucket span"
[00:35:33]                 └-> job creation inputs influencers
[00:35:33]                   └-> "before each" hook: global before each
[00:35:33]                   │ debg TestSubjects.exists(mlInfluencerSelect > comboBoxInput)
[00:35:33]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlInfluencerSelect"] [data-test-subj="comboBoxInput"]') with timeout=120000
[00:35:33]                   │ debg comboBox.getComboBoxSelectedOptions, comboBoxSelector: mlInfluencerSelect > comboBoxInput
[00:35:33]                   │ debg TestSubjects.find(mlInfluencerSelect > comboBoxInput)
[00:35:33]                   │ debg Find.findByCssSelector('[data-test-subj="mlInfluencerSelect"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:35:33]                   └- ✓ pass  (38ms) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation inputs influencers"
[00:35:33]                 └-> job creation inputs the model memory limit
[00:35:33]                   └-> "before each" hook: global before each
[00:35:33]                   │ debg TestSubjects.exists(mlJobWizardInputModelMemoryLimit)
[00:35:33]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlJobWizardInputModelMemoryLimit"]') with timeout=120000
[00:35:33]                   │ debg TestSubjects.setValueWithChecks(mlJobWizardInputModelMemoryLimit, 10mb)
[00:35:33]                   │ debg TestSubjects.click(mlJobWizardInputModelMemoryLimit)
[00:35:33]                   │ debg Find.clickByCssSelector('[data-test-subj="mlJobWizardInputModelMemoryLimit"]') with timeout=10000
[00:35:33]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardInputModelMemoryLimit"]') with timeout=10000
[00:35:33]                   │ debg TestSubjects.getAttribute(mlJobWizardInputModelMemoryLimit, value)
[00:35:33]                   │ debg TestSubjects.find(mlJobWizardInputModelMemoryLimit)
[00:35:33]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardInputModelMemoryLimit"]') with timeout=10000
[00:35:33]                   └- ✓ pass  (267ms) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation inputs the model memory limit"
[00:35:33]                 └-> job creation displays the job details step
[00:35:33]                   └-> "before each" hook: global before each
[00:35:33]                   │ debg TestSubjects.exists(mlJobWizardNavButtonNext)
[00:35:33]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlJobWizardNavButtonNext"]') with timeout=120000
[00:35:33]                   │ debg TestSubjects.clickWhenNotDisabled(mlJobWizardNavButtonNext)
[00:35:33]                   │ debg Find.clickByCssSelectorWhenNotDisabled('[data-test-subj="mlJobWizardNavButtonNext"]') with timeout=10000
[00:35:33]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardNavButtonNext"]') with timeout=10000
[00:35:34]                   │ debg TestSubjects.exists(mlJobWizardStepTitleJobDetails)
[00:35:34]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlJobWizardStepTitleJobDetails"]') with timeout=120000
[00:35:34]                   └- ✓ pass  (653ms) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation displays the job details step"
[00:35:34]                 └-> job creation inputs the job id
[00:35:34]                   └-> "before each" hook: global before each
[00:35:34]                   │ debg TestSubjects.exists(mlJobWizardInputJobId)
[00:35:34]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlJobWizardInputJobId"]') with timeout=120000
[00:35:34]                   │ debg TestSubjects.setValueWithChecks(mlJobWizardInputJobId, event_rate_nanos_count_1_1583451556856)
[00:35:34]                   │ debg TestSubjects.click(mlJobWizardInputJobId)
[00:35:34]                   │ debg Find.clickByCssSelector('[data-test-subj="mlJobWizardInputJobId"]') with timeout=10000
[00:35:34]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardInputJobId"]') with timeout=10000
[00:35:35]                   │ debg TestSubjects.getAttribute(mlJobWizardInputJobId, value)
[00:35:35]                   │ debg TestSubjects.find(mlJobWizardInputJobId)
[00:35:35]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardInputJobId"]') with timeout=10000
[00:35:35]                   └- ✓ pass  (1.3s) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation inputs the job id"
[00:35:35]                 └-> job creation inputs the job description
[00:35:35]                   └-> "before each" hook: global before each
[00:35:35]                   │ debg TestSubjects.exists(mlJobWizardInputJobDescription)
[00:35:35]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlJobWizardInputJobDescription"]') with timeout=120000
[00:35:35]                   │ debg TestSubjects.setValueWithChecks(mlJobWizardInputJobDescription, Create advanced job based on the event rate dataset with a date_nanos time field, 30m bucketspan and count)
[00:35:35]                   │ debg TestSubjects.click(mlJobWizardInputJobDescription)
[00:35:35]                   │ debg Find.clickByCssSelector('[data-test-subj="mlJobWizardInputJobDescription"]') with timeout=10000
[00:35:35]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardInputJobDescription"]') with timeout=10000
[00:35:38]                   │ debg TestSubjects.getVisibleText(mlJobWizardInputJobDescription)
[00:35:38]                   │ debg TestSubjects.find(mlJobWizardInputJobDescription)
[00:35:38]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardInputJobDescription"]') with timeout=10000
[00:35:38]                   └- ✓ pass  (3.3s) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation inputs the job description"
[00:35:38]                 └-> job creation inputs job groups
[00:35:38]                   └-> "before each" hook: global before each
[00:35:38]                   │ debg TestSubjects.exists(mlJobWizardComboBoxJobGroups > comboBoxInput)
[00:35:38]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlJobWizardComboBoxJobGroups"] [data-test-subj="comboBoxInput"]') with timeout=120000
[00:35:38]                   │ debg comboBox.setCustom, comboBoxSelector: mlJobWizardComboBoxJobGroups > comboBoxInput, value: automated
[00:35:38]                   │ debg TestSubjects.find(mlJobWizardComboBoxJobGroups > comboBoxInput)
[00:35:38]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardComboBoxJobGroups"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:35:40]                   │ debg TestSubjects.exists(~comboBoxOptionsList)
[00:35:40]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj~="comboBoxOptionsList"]') with timeout=2500
[00:35:40]                   │ debg comboBox.getComboBoxSelectedOptions, comboBoxSelector: mlJobWizardComboBoxJobGroups > comboBoxInput
[00:35:40]                   │ debg TestSubjects.find(mlJobWizardComboBoxJobGroups > comboBoxInput)
[00:35:40]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardComboBoxJobGroups"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:35:41]                   │ debg comboBox.setCustom, comboBoxSelector: mlJobWizardComboBoxJobGroups > comboBoxInput, value: event-rate
[00:35:41]                   │ debg TestSubjects.find(mlJobWizardComboBoxJobGroups > comboBoxInput)
[00:35:41]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardComboBoxJobGroups"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:35:43]                   │ debg TestSubjects.exists(~comboBoxOptionsList)
[00:35:43]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj~="comboBoxOptionsList"]') with timeout=2500
[00:35:43]                   │ debg comboBox.getComboBoxSelectedOptions, comboBoxSelector: mlJobWizardComboBoxJobGroups > comboBoxInput
[00:35:43]                   │ debg TestSubjects.find(mlJobWizardComboBoxJobGroups > comboBoxInput)
[00:35:43]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardComboBoxJobGroups"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:35:43]                   │ debg comboBox.setCustom, comboBoxSelector: mlJobWizardComboBoxJobGroups > comboBoxInput, value: date-nanos
[00:35:43]                   │ debg TestSubjects.find(mlJobWizardComboBoxJobGroups > comboBoxInput)
[00:35:43]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardComboBoxJobGroups"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:35:45]                   │ debg TestSubjects.exists(~comboBoxOptionsList)
[00:35:45]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj~="comboBoxOptionsList"]') with timeout=2500
[00:35:45]                   │ debg comboBox.getComboBoxSelectedOptions, comboBoxSelector: mlJobWizardComboBoxJobGroups > comboBoxInput
[00:35:45]                   │ debg TestSubjects.find(mlJobWizardComboBoxJobGroups > comboBoxInput)
[00:35:45]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardComboBoxJobGroups"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:35:45]                   │ debg comboBox.getComboBoxSelectedOptions, comboBoxSelector: mlJobWizardComboBoxJobGroups > comboBoxInput
[00:35:45]                   │ debg TestSubjects.find(mlJobWizardComboBoxJobGroups > comboBoxInput)
[00:35:45]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardComboBoxJobGroups"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:35:45]                   └- ✓ pass  (6.9s) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation inputs job groups"
[00:35:45]                 └-> job creation opens the additional settings section
[00:35:45]                   └-> "before each" hook: global before each
[00:35:45]                   │ debg TestSubjects.exists(mlJobWizardAdditionalSettingsSection)
[00:35:45]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlJobWizardAdditionalSettingsSection"]') with timeout=2500
[00:35:45]                   │ debg --- retry.tryForTime error: [data-test-subj="mlJobWizardAdditionalSettingsSection"] is not displayed
[00:35:46]                   │ debg --- retry.tryForTime failed again with the same message...
[00:35:46]                   │ debg --- retry.tryForTime failed again with the same message...
[00:35:47]                   │ debg --- retry.tryForTime failed again with the same message...
[00:35:47]                   │ debg --- retry.tryForTime failed again with the same message...
[00:35:48]                   │ debg TestSubjects.click(mlJobWizardToggleAdditionalSettingsSection)
[00:35:48]                   │ debg Find.clickByCssSelector('[data-test-subj="mlJobWizardToggleAdditionalSettingsSection"]') with timeout=10000
[00:35:48]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardToggleAdditionalSettingsSection"]') with timeout=10000
[00:35:48]                   │ debg TestSubjects.exists(mlJobWizardAdditionalSettingsSection)
[00:35:48]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlJobWizardAdditionalSettingsSection"]') with timeout=1000
[00:35:48]                   └- ✓ pass  (2.7s) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation opens the additional settings section"
[00:35:48]                 └-> job creation displays the model plot switch
[00:35:48]                   └-> "before each" hook: global before each
[00:35:48]                   │ debg TestSubjects.exists(mlJobWizardSwitchModelPlot)
[00:35:48]                   │ debg Find.existsByCssSelector('[data-test-subj="mlJobWizardSwitchModelPlot"]') with timeout=120000
[00:35:48]                   └- ✓ pass  (13ms) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation displays the model plot switch"
[00:35:48]                 └-> job creation enables the dedicated index switch
[00:35:48]                   └-> "before each" hook: global before each
[00:35:48]                   │ debg TestSubjects.exists(mlJobWizardSwitchUseDedicatedIndex)
[00:35:48]                   │ debg Find.existsByCssSelector('[data-test-subj="mlJobWizardSwitchUseDedicatedIndex"]') with timeout=120000
[00:35:48]                   │ debg TestSubjects.getAttribute(mlJobWizardSwitchUseDedicatedIndex, aria-checked)
[00:35:48]                   │ debg TestSubjects.find(mlJobWizardSwitchUseDedicatedIndex)
[00:35:48]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardSwitchUseDedicatedIndex"]') with timeout=10000
[00:35:48]                   │ debg TestSubjects.clickWhenNotDisabled(mlJobWizardSwitchUseDedicatedIndex)
[00:35:48]                   │ debg Find.clickByCssSelectorWhenNotDisabled('[data-test-subj="mlJobWizardSwitchUseDedicatedIndex"]') with timeout=10000
[00:35:48]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardSwitchUseDedicatedIndex"]') with timeout=10000
[00:35:48]                   │ debg TestSubjects.getAttribute(mlJobWizardSwitchUseDedicatedIndex, aria-checked)
[00:35:48]                   │ debg TestSubjects.find(mlJobWizardSwitchUseDedicatedIndex)
[00:35:48]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardSwitchUseDedicatedIndex"]') with timeout=10000
[00:35:48]                   │ info Taking screenshot "/dev/shm/workspace/kibana/x-pack/test/functional/screenshots/failure/machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation enables the dedicated index switch.png"
[00:35:48]                   │ info Current URL is: http://localhost:6131/app/ml#/jobs/new_job/advanced?index=5cea1700-5d30-11ea-a203-85f3339cc222
[00:35:48]                   │ info Saving page source to: /dev/shm/workspace/kibana/x-pack/test/functional/failure_debug/html/machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation enables the dedicated index switch.html
[00:35:48]                   └- ✖ fail: "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation enables the dedicated index switch"
[00:35:48]                   │

Stack Trace

{ Error: expected false to sort of equal true
    at Assertion.assert (/dev/shm/workspace/kibana/packages/kbn-expect/expect.js:100:11)
    at Assertion.eql (/dev/shm/workspace/kibana/packages/kbn-expect/expect.js:244:8)
    at Object.assertDedicatedIndexSwitchCheckedState (test/functional/services/machine_learning/job_wizard_common.ts:267:37)
    at process._tickCallback (internal/process/next_tick.js:68:7) actual: 'false', expected: 'true', showDiff: true }
Kibana Pipeline / kibana-xpack-agent / Chrome X-Pack UI Functional Tests.x-pack/test/functional/apps/machine_learning/anomaly_detection/date_nanos_job·ts.machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation enables the dedicated index switch

Link to Jenkins

Standard Out

Failed Tests Reporter:
  - Test has failed 4 times on tracked branches: https://github.com/elastic/kibana/issues/59419

[00:00:00]       │
[00:08:16]         └-: machine learning
[00:08:16]           └-> "before all" hook
[00:08:16]           └-> "before all" hook
[00:08:16]             │ debg creating role ml_source
[00:08:16]             │ info [o.e.x.s.a.r.TransportPutRoleAction] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] added role [ml_source]
[00:08:16]             │ debg created role ml_source
[00:08:16]             │ debg creating role ml_dest
[00:08:16]             │ info [o.e.x.s.a.r.TransportPutRoleAction] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] added role [ml_dest]
[00:08:16]             │ debg created role ml_dest
[00:08:16]             │ debg creating role ml_dest_readonly
[00:08:16]             │ info [o.e.x.s.a.r.TransportPutRoleAction] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] added role [ml_dest_readonly]
[00:08:16]             │ debg created role ml_dest_readonly
[00:08:16]             │ debg creating role ml_ui_extras
[00:08:16]             │ info [o.e.x.s.a.r.TransportPutRoleAction] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] added role [ml_ui_extras]
[00:08:16]             │ debg created role ml_ui_extras
[00:08:16]             │ debg creating user ml_poweruser
[00:08:16]             │ info [o.e.x.s.a.u.TransportPutUserAction] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] added user [ml_poweruser]
[00:08:16]             │ debg created user ml_poweruser
[00:08:16]             │ debg creating user ml_viewer
[00:08:16]             │ info [o.e.x.s.a.u.TransportPutUserAction] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] added user [ml_viewer]
[00:08:16]             │ debg created user ml_viewer
[00:11:38]           └-: anomaly detection
[00:11:38]             └-> "before all" hook
[00:39:12]             └-: job on data set with date_nanos time field
[00:39:12]               └-> "before all" hook
[00:39:12]               └-> "before all" hook
[00:39:12]                 │ info [ml/event_rate_nanos] Loading "mappings.json"
[00:39:12]                 │ info [ml/event_rate_nanos] Loading "data.json.gz"
[00:39:12]                 │ info [o.e.c.m.MetaDataCreateIndexService] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] [event_rate_gen_trend_nanos] creating index, cause [api], templates [], shards [1]/[0], mappings [_doc]
[00:39:13]                 │ info [o.e.c.r.a.AllocationService] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] Cluster health status changed from [YELLOW] to [GREEN] (reason: [shards started [[event_rate_gen_trend_nanos][0]]]).
[00:39:13]                 │ info [ml/event_rate_nanos] Created index "event_rate_gen_trend_nanos"
[00:39:13]                 │ debg [ml/event_rate_nanos] "event_rate_gen_trend_nanos" settings {"index":{"number_of_replicas":"0","number_of_shards":"1"}}
[00:39:13]                 │ info [o.e.c.m.MetaDataDeleteIndexService] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] [.kibana_1/4MgiK53dT-OM0mLBWOV3oQ] deleting index
[00:39:13]                 │ info [o.e.c.m.MetaDataDeleteIndexService] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] [.kibana_2/rhrtrFYZSwqBMI-L10rYDw] deleting index
[00:39:13]                 │ info [ml/event_rate_nanos] Deleted existing index [".kibana_2",".kibana_1"]
[00:39:13]                 │ info [o.e.c.m.MetaDataCreateIndexService] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] [.kibana_1] creating index, cause [api], templates [], shards [1]/[0], mappings [_doc]
[00:39:13]                 │ info [o.e.c.r.a.AllocationService] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] Cluster health status changed from [YELLOW] to [GREEN] (reason: [shards started [[.kibana_1][0]]]).
[00:39:13]                 │ info [ml/event_rate_nanos] Created index ".kibana_1"
[00:39:13]                 │ debg [ml/event_rate_nanos] ".kibana_1" settings {"index":{"auto_expand_replicas":"0-1","number_of_replicas":"0","number_of_shards":"1"}}
[00:39:18]                 │ info [ml/event_rate_nanos] Indexed 105120 docs into "event_rate_gen_trend_nanos"
[00:39:18]                 │ info [ml/event_rate_nanos] Indexed 4 docs into ".kibana_1"
[00:39:18]                 │ info [o.e.c.m.MetaDataMappingService] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] [.kibana_1/q5BFJuz6T0yk-2KG_1yz6A] update_mapping [_doc]
[00:39:18]                 │ debg Migrating saved objects
[00:39:19]                 │ proc [kibana]   log   [23:36:24.504] [info][savedobjects-service] Detected mapping change in "dynamic"
[00:39:19]                 │ proc [kibana]   log   [23:36:24.505] [info][savedobjects-service] Creating index .kibana_2.
[00:39:19]                 │ info [o.e.c.m.MetaDataCreateIndexService] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] [.kibana_2] creating index, cause [api], templates [], shards [1]/[1], mappings [_doc]
[00:39:19]                 │ info [o.e.c.r.a.AllocationService] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] updating number_of_replicas to [0] for indices [.kibana_2]
[00:39:19]                 │ info [o.e.c.r.a.AllocationService] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] Cluster health status changed from [YELLOW] to [GREEN] (reason: [shards started [[.kibana_2][0]]]).
[00:39:19]                 │ proc [kibana]   log   [23:36:24.577] [info][savedobjects-service] Migrating .kibana_1 saved objects to .kibana_2
[00:39:19]                 │ info [o.e.c.m.MetaDataMappingService] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] [.kibana_2/0l4xnC6UR2atCha_Vo7Szg] update_mapping [_doc]
[00:39:19]                 │ info [o.e.c.m.MetaDataMappingService] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] [.kibana_2/0l4xnC6UR2atCha_Vo7Szg] update_mapping [_doc]
[00:39:19]                 │ info [o.e.c.m.MetaDataMappingService] [kibana-ci-immutable-ubuntu-18-tests-xl-1583447023722111387] [.kibana_2/0l4xnC6UR2atCha_Vo7Szg] update_mapping [_doc]
[00:39:19]                 │ proc [kibana]   log   [23:36:24.691] [info][savedobjects-service] Pointing alias .kibana to .kibana_2.
[00:39:19]                 │ proc [kibana]   log   [23:36:24.748] [info][savedobjects-service] Finished in 244ms.
[00:39:19]                 │ debg SecurityPage.forceLogout
[00:39:19]                 │ debg Find.existsByDisplayedByCssSelector('.login-form') with timeout=100
[00:39:19]                 │ debg --- retry.tryForTime error: .login-form is not displayed
[00:39:20]                 │ debg Redirecting to /logout to force the logout
[00:39:20]                 │ debg Waiting on the login form to appear
[00:39:20]                 │ debg Waiting up to 100000ms for login form...
[00:39:20]                 │ debg Find.existsByDisplayedByCssSelector('.login-form') with timeout=2500
[00:39:20]                 │ debg browser[INFO] http://localhost:6131/logout?_t=1583451385382 350 Refused to execute inline script because it violates the following Content Security Policy directive: "script-src 'unsafe-eval' 'self'". Either the 'unsafe-inline' keyword, a hash ('sha256-P5polb1UreUSOe5V/Pv7tc+yeZuJXiOi/3fqhGsU7BE='), or a nonce ('nonce-...') is required to enable inline execution.
[00:39:20]                 │
[00:39:20]                 │ debg browser[INFO] http://localhost:6131/bundles/app/core/bootstrap.js 9:19 "^ A single error about an inline script not firing due to content security policy is expected!"
[00:39:24]                 │ debg --- retry.tryForTime error: .login-form is not displayed
[00:39:24]                 │ debg browser[INFO] http://localhost:6131/bundles/plugin/data/data.plugin.js 90:139970 "INFO: 2020-03-05T23:36:29Z
[00:39:24]                 │        Adding connection to http://localhost:6131/elasticsearch
[00:39:24]                 │
[00:39:24]                 │      "
[00:39:24]                 │ debg browser[INFO] http://localhost:6131/login?_t=1583451385382 350 Refused to execute inline script because it violates the following Content Security Policy directive: "script-src 'unsafe-eval' 'self'". Either the 'unsafe-inline' keyword, a hash ('sha256-P5polb1UreUSOe5V/Pv7tc+yeZuJXiOi/3fqhGsU7BE='), or a nonce ('nonce-...') is required to enable inline execution.
[00:39:24]                 │
[00:39:24]                 │ debg browser[INFO] http://localhost:6131/bundles/app/core/bootstrap.js 9:19 "^ A single error about an inline script not firing due to content security policy is expected!"
[00:39:25]                 │ debg Find.existsByDisplayedByCssSelector('.login-form') with timeout=2500
[00:39:27]                 │ debg browser[INFO] http://localhost:6131/bundles/plugin/data/data.plugin.js 90:139970 "INFO: 2020-03-05T23:36:32Z
[00:39:27]                 │        Adding connection to http://localhost:6131/elasticsearch
[00:39:27]                 │
[00:39:27]                 │      "
[00:39:27]                 │ debg navigating to login url: http://localhost:6131/login
[00:39:27]                 │ debg Navigate to: http://localhost:6131/login
[00:39:27]                 │ debg ... sleep(700) start
[00:39:27]                 │ debg browser[INFO] http://localhost:6131/login?_t=1583451392912 350 Refused to execute inline script because it violates the following Content Security Policy directive: "script-src 'unsafe-eval' 'self'". Either the 'unsafe-inline' keyword, a hash ('sha256-P5polb1UreUSOe5V/Pv7tc+yeZuJXiOi/3fqhGsU7BE='), or a nonce ('nonce-...') is required to enable inline execution.
[00:39:27]                 │
[00:39:27]                 │ debg browser[INFO] http://localhost:6131/bundles/app/core/bootstrap.js 9:19 "^ A single error about an inline script not firing due to content security policy is expected!"
[00:39:28]                 │ debg ... sleep(700) end
[00:39:28]                 │ debg returned from get, calling refresh
[00:39:28]                 │ debg browser[INFO] http://localhost:6131/login?_t=1583451392912 350 Refused to execute inline script because it violates the following Content Security Policy directive: "script-src 'unsafe-eval' 'self'". Either the 'unsafe-inline' keyword, a hash ('sha256-P5polb1UreUSOe5V/Pv7tc+yeZuJXiOi/3fqhGsU7BE='), or a nonce ('nonce-...') is required to enable inline execution.
[00:39:28]                 │
[00:39:28]                 │ debg browser[INFO] http://localhost:6131/bundles/app/core/bootstrap.js 9:19 "^ A single error about an inline script not firing due to content security policy is expected!"
[00:39:28]                 │ debg currentUrl = http://localhost:6131/login
[00:39:28]                 │          appUrl = http://localhost:6131/login
[00:39:28]                 │ debg Find.findByCssSelector('[data-test-subj="kibanaChrome"]') with timeout=60000
[00:39:30]                 │ debg browser[INFO] http://localhost:6131/bundles/plugin/data/data.plugin.js 90:139970 "INFO: 2020-03-05T23:36:36Z
[00:39:30]                 │        Adding connection to http://localhost:6131/elasticsearch
[00:39:30]                 │
[00:39:30]                 │      "
[00:39:30]                 │ debg ... sleep(501) start
[00:39:31]                 │ debg ... sleep(501) end
[00:39:31]                 │ debg in navigateTo url = http://localhost:6131/login
[00:39:31]                 │ debg TestSubjects.exists(statusPageContainer)
[00:39:31]                 │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="statusPageContainer"]') with timeout=2500
[00:39:33]                 │ debg --- retry.tryForTime error: [data-test-subj="statusPageContainer"] is not displayed
[00:39:34]                 │ debg TestSubjects.setValue(loginUsername, ml_poweruser)
[00:39:34]                 │ debg TestSubjects.click(loginUsername)
[00:39:34]                 │ debg Find.clickByCssSelector('[data-test-subj="loginUsername"]') with timeout=10000
[00:39:34]                 │ debg Find.findByCssSelector('[data-test-subj="loginUsername"]') with timeout=10000
[00:39:34]                 │ debg TestSubjects.setValue(loginPassword, mlp001)
[00:39:34]                 │ debg TestSubjects.click(loginPassword)
[00:39:34]                 │ debg Find.clickByCssSelector('[data-test-subj="loginPassword"]') with timeout=10000
[00:39:34]                 │ debg Find.findByCssSelector('[data-test-subj="loginPassword"]') with timeout=10000
[00:39:34]                 │ debg TestSubjects.click(loginSubmit)
[00:39:34]                 │ debg Find.clickByCssSelector('[data-test-subj="loginSubmit"]') with timeout=10000
[00:39:34]                 │ debg Find.findByCssSelector('[data-test-subj="loginSubmit"]') with timeout=10000
[00:39:34]                 │ debg Find.findByCssSelector('[data-test-subj="kibanaChrome"] nav:not(.ng-hide) ') with timeout=20000
[00:39:39]                 │ debg browser[INFO] http://localhost:6131/app/kibana 350 Refused to execute inline script because it violates the following Content Security Policy directive: "script-src 'unsafe-eval' 'self'". Either the 'unsafe-inline' keyword, a hash ('sha256-P5polb1UreUSOe5V/Pv7tc+yeZuJXiOi/3fqhGsU7BE='), or a nonce ('nonce-...') is required to enable inline execution.
[00:39:39]                 │
[00:39:39]                 │ debg browser[INFO] http://localhost:6131/bundles/app/kibana/bootstrap.js 9:19 "^ A single error about an inline script not firing due to content security policy is expected!"
[00:39:39]                 │ debg browser[INFO] http://localhost:6131/bundles/plugin/data/data.plugin.js 90:139970 "INFO: 2020-03-05T23:36:42Z
[00:39:39]                 │        Adding connection to http://localhost:6131/elasticsearch
[00:39:39]                 │
[00:39:39]                 │      "
[00:39:39]                 │ debg Finished login process currentUrl = http://localhost:6131/app/kibana#/home
[00:39:39]                 │ debg Waiting up to 20000ms for logout button visible...
[00:39:39]                 │ debg TestSubjects.exists(userMenuButton)
[00:39:39]                 │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="userMenuButton"]') with timeout=2500
[00:39:39]                 │ debg TestSubjects.exists(userMenu)
[00:39:39]                 │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="userMenu"]') with timeout=2500
[00:39:42]                 │ debg --- retry.tryForTime error: [data-test-subj="userMenu"] is not displayed
[00:39:42]                 │ debg TestSubjects.click(userMenuButton)
[00:39:42]                 │ debg Find.clickByCssSelector('[data-test-subj="userMenuButton"]') with timeout=10000
[00:39:42]                 │ debg Find.findByCssSelector('[data-test-subj="userMenuButton"]') with timeout=10000
[00:39:42]                 │ debg Waiting up to 20000ms for user menu opened...
[00:39:42]                 │ debg TestSubjects.exists(userMenu)
[00:39:42]                 │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="userMenu"]') with timeout=2500
[00:39:42]                 │ debg TestSubjects.exists(userMenu > logoutLink)
[00:39:42]                 │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="userMenu"] [data-test-subj="logoutLink"]') with timeout=2500
[00:39:42]               └-: with count detector and model plot disabled
[00:39:42]                 └-> "before all" hook
[00:39:42]                 └-> job creation loads the job management page
[00:39:42]                   └-> "before each" hook: global before each
[00:39:42]                   │ debg navigating to ml url: http://localhost:6131/app/ml
[00:39:42]                   │ debg Navigate to: http://localhost:6131/app/ml
[00:39:42]                   │ debg ... sleep(700) start
[00:39:42]                   │ debg browser[INFO] http://localhost:6131/app/ml?_t=1583451408165 350 Refused to execute inline script because it violates the following Content Security Policy directive: "script-src 'unsafe-eval' 'self'". Either the 'unsafe-inline' keyword, a hash ('sha256-P5polb1UreUSOe5V/Pv7tc+yeZuJXiOi/3fqhGsU7BE='), or a nonce ('nonce-...') is required to enable inline execution.
[00:39:42]                   │
[00:39:42]                   │ debg browser[INFO] http://localhost:6131/bundles/app/ml/bootstrap.js 9:19 "^ A single error about an inline script not firing due to content security policy is expected!"
[00:39:43]                   │ debg ... sleep(700) end
[00:39:43]                   │ debg returned from get, calling refresh
[00:39:43]                   │ debg browser[INFO] http://localhost:6131/app/ml?_t=1583451408165 350 Refused to execute inline script because it violates the following Content Security Policy directive: "script-src 'unsafe-eval' 'self'". Either the 'unsafe-inline' keyword, a hash ('sha256-P5polb1UreUSOe5V/Pv7tc+yeZuJXiOi/3fqhGsU7BE='), or a nonce ('nonce-...') is required to enable inline execution.
[00:39:43]                   │
[00:39:43]                   │ debg browser[INFO] http://localhost:6131/bundles/app/ml/bootstrap.js 9:19 "^ A single error about an inline script not firing due to content security policy is expected!"
[00:39:43]                   │ debg currentUrl = http://localhost:6131/app/ml
[00:39:43]                   │          appUrl = http://localhost:6131/app/ml
[00:39:43]                   │ debg Find.findByCssSelector('[data-test-subj="kibanaChrome"]') with timeout=60000
[00:39:47]                   │ debg browser[INFO] http://localhost:6131/bundles/plugin/data/data.plugin.js 90:139970 "INFO: 2020-03-05T23:36:51Z
[00:39:47]                   │        Adding connection to http://localhost:6131/elasticsearch
[00:39:47]                   │
[00:39:47]                   │      "
[00:39:47]                   │ debg ... sleep(501) start
[00:39:47]                   │ debg ... sleep(501) end
[00:39:47]                   │ debg in navigateTo url = http://localhost:6131/app/ml#/overview?_g=(refreshInterval:(pause:!t,value:0))
[00:39:47]                   │ debg --- retry.try error: URL changed, waiting for it to settle
[00:39:48]                   │ debg ... sleep(501) start
[00:39:48]                   │ debg ... sleep(501) end
[00:39:48]                   │ debg in navigateTo url = http://localhost:6131/app/ml#/overview?_g=(refreshInterval:(pause:!t,value:0))
[00:39:48]                   │ debg TestSubjects.exists(statusPageContainer)
[00:39:48]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="statusPageContainer"]') with timeout=2500
[00:39:51]                   │ debg --- retry.tryForTime error: [data-test-subj="statusPageContainer"] is not displayed
[00:39:51]                   │ debg TestSubjects.click(~mlMainTab & ~anomalyDetection)
[00:39:51]                   │ debg Find.clickByCssSelector('[data-test-subj~="mlMainTab"][data-test-subj~="anomalyDetection"]') with timeout=10000
[00:39:51]                   │ debg Find.findByCssSelector('[data-test-subj~="mlMainTab"][data-test-subj~="anomalyDetection"]') with timeout=10000
[00:39:51]                   │ debg TestSubjects.exists(~mlMainTab & ~anomalyDetection & ~selected)
[00:39:51]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj~="mlMainTab"][data-test-subj~="anomalyDetection"][data-test-subj~="selected"]') with timeout=120000
[00:39:51]                   │ debg TestSubjects.exists(mlPageJobManagement)
[00:39:51]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlPageJobManagement"]') with timeout=120000
[00:39:52]                   │ debg TestSubjects.findAll(~mlSubTab)
[00:39:52]                   │ debg Find.allByCssSelector('[data-test-subj~="mlSubTab"]') with timeout=3
[00:39:52]                   │ debg TestSubjects.exists(~mlSubTab&~jobManagement)
[00:39:52]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj~="mlSubTab"][data-test-subj~="jobManagement"]') with timeout=1000
[00:39:52]                   │ debg TestSubjects.exists(~mlSubTab&~anomalyExplorer)
[00:39:52]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj~="mlSubTab"][data-test-subj~="anomalyExplorer"]') with timeout=1000
[00:39:52]                   │ debg TestSubjects.exists(~mlSubTab&~singleMetricViewer)
[00:39:52]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj~="mlSubTab"][data-test-subj~="singleMetricViewer"]') with timeout=1000
[00:39:52]                   │ debg TestSubjects.exists(~mlSubTab&~settings)
[00:39:52]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj~="mlSubTab"][data-test-subj~="settings"]') with timeout=1000
[00:39:52]                   │ debg TestSubjects.click(~mlSubTab & ~jobManagement)
[00:39:52]                   │ debg Find.clickByCssSelector('[data-test-subj~="mlSubTab"][data-test-subj~="jobManagement"]') with timeout=10000
[00:39:52]                   │ debg Find.findByCssSelector('[data-test-subj~="mlSubTab"][data-test-subj~="jobManagement"]') with timeout=10000
[00:39:52]                   │ debg TestSubjects.exists(~mlSubTab & ~jobManagement & ~selected)
[00:39:52]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj~="mlSubTab"][data-test-subj~="jobManagement"][data-test-subj~="selected"]') with timeout=120000
[00:39:52]                   │ debg TestSubjects.exists(mlPageJobManagement)
[00:39:52]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlPageJobManagement"]') with timeout=120000
[00:39:52]                   └- ✓ pass  (9.4s) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation loads the job management page"
[00:39:52]                 └-> job creation loads the new job source selection page
[00:39:52]                   └-> "before each" hook: global before each
[00:39:52]                   │ debg TestSubjects.clickWhenNotDisabled(mlCreateNewJobButton)
[00:39:52]                   │ debg Find.clickByCssSelectorWhenNotDisabled('[data-test-subj="mlCreateNewJobButton"]') with timeout=10000
[00:39:52]                   │ debg Find.findByCssSelector('[data-test-subj="mlCreateNewJobButton"]') with timeout=10000
[00:39:52]                   │ debg TestSubjects.exists(mlPageSourceSelection)
[00:39:52]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlPageSourceSelection"]') with timeout=120000
[00:39:52]                   └- ✓ pass  (303ms) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation loads the new job source selection page"
[00:39:52]                 └-> job creation loads the job type selection page
[00:39:52]                   └-> "before each" hook: global before each
[00:39:52]                   │ debg TestSubjects.setValue(savedObjectFinderSearchInput, event_rate_gen_trend_nanos)
[00:39:52]                   │ debg TestSubjects.click(savedObjectFinderSearchInput)
[00:39:52]                   │ debg Find.clickByCssSelector('[data-test-subj="savedObjectFinderSearchInput"]') with timeout=10000
[00:39:52]                   │ debg Find.findByCssSelector('[data-test-subj="savedObjectFinderSearchInput"]') with timeout=10000
[00:39:52]                   │ debg TestSubjects.exists(savedObjectTitleevent_rate_gen_trend_nanos)
[00:39:52]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="savedObjectTitleevent_rate_gen_trend_nanos"]') with timeout=120000
[00:39:53]                   │ debg TestSubjects.clickWhenNotDisabled(savedObjectTitleevent_rate_gen_trend_nanos)
[00:39:53]                   │ debg Find.clickByCssSelectorWhenNotDisabled('[data-test-subj="savedObjectTitleevent_rate_gen_trend_nanos"]') with timeout=10000
[00:39:53]                   │ debg Find.findByCssSelector('[data-test-subj="savedObjectTitleevent_rate_gen_trend_nanos"]') with timeout=10000
[00:39:53]                   │ debg TestSubjects.exists(mlPageJobTypeSelection)
[00:39:53]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlPageJobTypeSelection"]') with timeout=10000
[00:39:53]                   └- ✓ pass  (984ms) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation loads the job type selection page"
[00:39:53]                 └-> job creation loads the advanced job wizard page
[00:39:53]                   └-> "before each" hook: global before each
[00:39:53]                   │ debg TestSubjects.clickWhenNotDisabled(mlJobTypeLinkAdvancedJob)
[00:39:53]                   │ debg Find.clickByCssSelectorWhenNotDisabled('[data-test-subj="mlJobTypeLinkAdvancedJob"]') with timeout=10000
[00:39:53]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobTypeLinkAdvancedJob"]') with timeout=10000
[00:39:53]                   │ debg TestSubjects.exists(mlPageJobWizard advanced)
[00:39:53]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlPageJobWizard advanced"]') with timeout=120000
[00:39:53]                   └- ✓ pass  (380ms) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation loads the advanced job wizard page"
[00:39:53]                 └-> job creation displays the configure datafeed step
[00:39:53]                   └-> "before each" hook: global before each
[00:39:53]                   │ debg TestSubjects.exists(mlJobWizardStepTitleConfigureDatafeed)
[00:39:53]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlJobWizardStepTitleConfigureDatafeed"]') with timeout=120000
[00:39:53]                   └- ✓ pass  (26ms) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation displays the configure datafeed step"
[00:39:53]                 └-> job creation pre-fills the datafeed query editor
[00:39:53]                   └-> "before each" hook: global before each
[00:39:53]                   │ debg TestSubjects.exists(mlAdvancedDatafeedQueryEditor > codeEditorContainer)
[00:39:53]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlAdvancedDatafeedQueryEditor"] [data-test-subj="codeEditorContainer"]') with timeout=120000
[00:39:53]                   │ debg TestSubjects.find(mlAdvancedDatafeedQueryEditor > codeEditorContainer)
[00:39:53]                   │ debg Find.findByCssSelector('[data-test-subj="mlAdvancedDatafeedQueryEditor"] [data-test-subj="codeEditorContainer"]') with timeout=10000
[00:39:54]                   └- ✓ pass  (196ms) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation pre-fills the datafeed query editor"
[00:39:54]                 └-> job creation inputs the query delay
[00:39:54]                   └-> "before each" hook: global before each
[00:39:54]                   │ debg TestSubjects.exists(mlJobWizardInputQueryDelay)
[00:39:54]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlJobWizardInputQueryDelay"]') with timeout=120000
[00:39:54]                   │ debg TestSubjects.getAttribute(mlJobWizardInputQueryDelay, value)
[00:39:54]                   │ debg TestSubjects.find(mlJobWizardInputQueryDelay)
[00:39:54]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardInputQueryDelay"]') with timeout=10000
[00:39:54]                   │ debg TestSubjects.getAttribute(mlJobWizardInputQueryDelay, placeholder)
[00:39:54]                   │ debg TestSubjects.find(mlJobWizardInputQueryDelay)
[00:39:54]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardInputQueryDelay"]') with timeout=10000
[00:39:54]                   └- ✓ pass  (52ms) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation inputs the query delay"
[00:39:54]                 └-> job creation inputs the frequency
[00:39:54]                   └-> "before each" hook: global before each
[00:39:54]                   │ debg TestSubjects.exists(mlJobWizardInputFrequency)
[00:39:54]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlJobWizardInputFrequency"]') with timeout=120000
[00:39:54]                   │ debg TestSubjects.getAttribute(mlJobWizardInputFrequency, value)
[00:39:54]                   │ debg TestSubjects.find(mlJobWizardInputFrequency)
[00:39:54]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardInputFrequency"]') with timeout=10000
[00:39:54]                   │ debg TestSubjects.getAttribute(mlJobWizardInputFrequency, placeholder)
[00:39:54]                   │ debg TestSubjects.find(mlJobWizardInputFrequency)
[00:39:54]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardInputFrequency"]') with timeout=10000
[00:39:54]                   └- ✓ pass  (50ms) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation inputs the frequency"
[00:39:54]                 └-> job creation inputs the scroll size
[00:39:54]                   └-> "before each" hook: global before each
[00:39:54]                   │ debg TestSubjects.exists(mlJobWizardInputScrollSize)
[00:39:54]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlJobWizardInputScrollSize"]') with timeout=120000
[00:39:54]                   │ debg TestSubjects.getAttribute(mlJobWizardInputScrollSize, value)
[00:39:54]                   │ debg TestSubjects.find(mlJobWizardInputScrollSize)
[00:39:54]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardInputScrollSize"]') with timeout=10000
[00:39:54]                   │ debg TestSubjects.getAttribute(mlJobWizardInputScrollSize, placeholder)
[00:39:54]                   │ debg TestSubjects.find(mlJobWizardInputScrollSize)
[00:39:54]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardInputScrollSize"]') with timeout=10000
[00:39:54]                   └- ✓ pass  (53ms) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation inputs the scroll size"
[00:39:54]                 └-> job creation pre-fills the time field
[00:39:54]                   └-> "before each" hook: global before each
[00:39:54]                   │ debg TestSubjects.exists(mlTimeFieldNameSelect > comboBoxInput)
[00:39:54]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlTimeFieldNameSelect"] [data-test-subj="comboBoxInput"]') with timeout=120000
[00:39:54]                   │ debg comboBox.getComboBoxSelectedOptions, comboBoxSelector: mlTimeFieldNameSelect > comboBoxInput
[00:39:54]                   │ debg TestSubjects.find(mlTimeFieldNameSelect > comboBoxInput)
[00:39:54]                   │ debg Find.findByCssSelector('[data-test-subj="mlTimeFieldNameSelect"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:39:54]                   └- ✓ pass  (37ms) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation pre-fills the time field"
[00:39:54]                 └-> job creation displays the pick fields step
[00:39:54]                   └-> "before each" hook: global before each
[00:39:54]                   │ debg TestSubjects.exists(mlJobWizardNavButtonNext)
[00:39:54]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlJobWizardNavButtonNext"]') with timeout=120000
[00:39:54]                   │ debg TestSubjects.clickWhenNotDisabled(mlJobWizardNavButtonNext)
[00:39:54]                   │ debg Find.clickByCssSelectorWhenNotDisabled('[data-test-subj="mlJobWizardNavButtonNext"]') with timeout=10000
[00:39:54]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardNavButtonNext"]') with timeout=10000
[00:39:54]                   │ debg TestSubjects.exists(mlJobWizardStepTitlePickFields)
[00:39:54]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlJobWizardStepTitlePickFields"]') with timeout=120000
[00:39:54]                   └- ✓ pass  (210ms) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation displays the pick fields step"
[00:39:54]                 └-> job creation selects the summary count field
[00:39:54]                   └-> "before each" hook: global before each
[00:39:54]                   │ debg TestSubjects.exists(mlSummaryCountFieldNameSelect > comboBoxInput)
[00:39:54]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlSummaryCountFieldNameSelect"] [data-test-subj="comboBoxInput"]') with timeout=120000
[00:39:54]                   │ debg comboBox.set, comboBoxSelector: mlSummaryCountFieldNameSelect > comboBoxInput
[00:39:54]                   │ debg TestSubjects.find(mlSummaryCountFieldNameSelect > comboBoxInput)
[00:39:54]                   │ debg Find.findByCssSelector('[data-test-subj="mlSummaryCountFieldNameSelect"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:39:54]                   │ debg comboBox.setElement, value: count
[00:39:54]                   │ debg comboBox.isOptionSelected, value: count
[00:39:56]                   │ debg TestSubjects.exists(~comboBoxOptionsList)
[00:39:56]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj~="comboBoxOptionsList"]') with timeout=2500
[00:39:56]                   │ debg Find.allByCssSelector('.euiFilterSelectItem[title^="count"]') with timeout=2500
[00:39:56]                   │ debg TestSubjects.exists(~comboBoxOptionsList)
[00:39:56]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj~="comboBoxOptionsList"]') with timeout=2500
[00:39:59]                   │ debg --- retry.tryForTime error: [data-test-subj~="comboBoxOptionsList"] is not displayed
[00:39:59]                   │ debg comboBox.getComboBoxSelectedOptions, comboBoxSelector: mlSummaryCountFieldNameSelect > comboBoxInput
[00:39:59]                   │ debg TestSubjects.find(mlSummaryCountFieldNameSelect > comboBoxInput)
[00:39:59]                   │ debg Find.findByCssSelector('[data-test-subj="mlSummaryCountFieldNameSelect"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:39:59]                   └- ✓ pass  (5.4s) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation selects the summary count field"
[00:39:59]                 └-> job creation adds detectors
[00:39:59]                   └-> "before each" hook: global before each
[00:40:00]                   │ debg TestSubjects.click(mlAddDetectorButton)
[00:40:00]                   │ debg Find.clickByCssSelector('[data-test-subj="mlAddDetectorButton"]') with timeout=10000
[00:40:00]                   │ debg Find.findByCssSelector('[data-test-subj="mlAddDetectorButton"]') with timeout=10000
[00:40:00]                   │ debg TestSubjects.exists(mlCreateDetectorModal)
[00:40:00]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlCreateDetectorModal"]') with timeout=5000
[00:40:00]                   │ debg TestSubjects.exists(mlAdvancedFunctionSelect > comboBoxInput)
[00:40:00]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlAdvancedFunctionSelect"] [data-test-subj="comboBoxInput"]') with timeout=120000
[00:40:00]                   │ debg comboBox.getComboBoxSelectedOptions, comboBoxSelector: mlAdvancedFunctionSelect > comboBoxInput
[00:40:00]                   │ debg TestSubjects.find(mlAdvancedFunctionSelect > comboBoxInput)
[00:40:00]                   │ debg Find.findByCssSelector('[data-test-subj="mlAdvancedFunctionSelect"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:40:00]                   │ debg TestSubjects.exists(mlAdvancedFieldSelect > comboBoxInput)
[00:40:00]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlAdvancedFieldSelect"] [data-test-subj="comboBoxInput"]') with timeout=120000
[00:40:00]                   │ debg comboBox.getComboBoxSelectedOptions, comboBoxSelector: mlAdvancedFieldSelect > comboBoxInput
[00:40:00]                   │ debg TestSubjects.find(mlAdvancedFieldSelect > comboBoxInput)
[00:40:00]                   │ debg Find.findByCssSelector('[data-test-subj="mlAdvancedFieldSelect"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:40:00]                   │ debg TestSubjects.exists(mlAdvancedByFieldSelect > comboBoxInput)
[00:40:00]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlAdvancedByFieldSelect"] [data-test-subj="comboBoxInput"]') with timeout=120000
[00:40:00]                   │ debg comboBox.getComboBoxSelectedOptions, comboBoxSelector: mlAdvancedByFieldSelect > comboBoxInput
[00:40:00]                   │ debg TestSubjects.find(mlAdvancedByFieldSelect > comboBoxInput)
[00:40:00]                   │ debg Find.findByCssSelector('[data-test-subj="mlAdvancedByFieldSelect"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:40:00]                   │ debg TestSubjects.exists(mlAdvancedOverFieldSelect > comboBoxInput)
[00:40:00]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlAdvancedOverFieldSelect"] [data-test-subj="comboBoxInput"]') with timeout=120000
[00:40:00]                   │ debg comboBox.getComboBoxSelectedOptions, comboBoxSelector: mlAdvancedOverFieldSelect > comboBoxInput
[00:40:00]                   │ debg TestSubjects.find(mlAdvancedOverFieldSelect > comboBoxInput)
[00:40:00]                   │ debg Find.findByCssSelector('[data-test-subj="mlAdvancedOverFieldSelect"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:40:00]                   │ debg TestSubjects.exists(mlAdvancedPartitionFieldSelect > comboBoxInput)
[00:40:00]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlAdvancedPartitionFieldSelect"] [data-test-subj="comboBoxInput"]') with timeout=120000
[00:40:00]                   │ debg comboBox.getComboBoxSelectedOptions, comboBoxSelector: mlAdvancedPartitionFieldSelect > comboBoxInput
[00:40:00]                   │ debg TestSubjects.find(mlAdvancedPartitionFieldSelect > comboBoxInput)
[00:40:00]                   │ debg Find.findByCssSelector('[data-test-subj="mlAdvancedPartitionFieldSelect"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:40:00]                   │ debg TestSubjects.exists(mlAdvancedExcludeFrequentSelect > comboBoxInput)
[00:40:00]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlAdvancedExcludeFrequentSelect"] [data-test-subj="comboBoxInput"]') with timeout=120000
[00:40:00]                   │ debg comboBox.getComboBoxSelectedOptions, comboBoxSelector: mlAdvancedExcludeFrequentSelect > comboBoxInput
[00:40:00]                   │ debg TestSubjects.find(mlAdvancedExcludeFrequentSelect > comboBoxInput)
[00:40:00]                   │ debg Find.findByCssSelector('[data-test-subj="mlAdvancedExcludeFrequentSelect"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:40:00]                   │ debg TestSubjects.exists(mlAdvancedDetectorDescriptionInput)
[00:40:00]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlAdvancedDetectorDescriptionInput"]') with timeout=120000
[00:40:00]                   │ debg TestSubjects.getAttribute(mlAdvancedDetectorDescriptionInput, value)
[00:40:00]                   │ debg TestSubjects.find(mlAdvancedDetectorDescriptionInput)
[00:40:00]                   │ debg Find.findByCssSelector('[data-test-subj="mlAdvancedDetectorDescriptionInput"]') with timeout=10000
[00:40:00]                   │ debg comboBox.set, comboBoxSelector: mlAdvancedFunctionSelect > comboBoxInput
[00:40:00]                   │ debg TestSubjects.find(mlAdvancedFunctionSelect > comboBoxInput)
[00:40:00]                   │ debg Find.findByCssSelector('[data-test-subj="mlAdvancedFunctionSelect"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:40:00]                   │ debg comboBox.setElement, value: count
[00:40:00]                   │ debg comboBox.isOptionSelected, value: count
[00:40:02]                   │ debg TestSubjects.exists(~comboBoxOptionsList)
[00:40:02]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj~="comboBoxOptionsList"]') with timeout=2500
[00:40:02]                   │ debg Find.allByCssSelector('.euiFilterSelectItem[title^="count"]') with timeout=2500
[00:40:02]                   │ debg TestSubjects.exists(~comboBoxOptionsList)
[00:40:02]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj~="comboBoxOptionsList"]') with timeout=2500
[00:40:05]                   │ debg --- retry.tryForTime error: [data-test-subj~="comboBoxOptionsList"] is not displayed
[00:40:05]                   │ debg comboBox.getComboBoxSelectedOptions, comboBoxSelector: mlAdvancedFunctionSelect > comboBoxInput
[00:40:05]                   │ debg TestSubjects.find(mlAdvancedFunctionSelect > comboBoxInput)
[00:40:05]                   │ debg Find.findByCssSelector('[data-test-subj="mlAdvancedFunctionSelect"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:40:05]                   │ debg TestSubjects.setValueWithChecks(mlAdvancedDetectorDescriptionInput, event rate)
[00:40:05]                   │ debg TestSubjects.click(mlAdvancedDetectorDescriptionInput)
[00:40:05]                   │ debg Find.clickByCssSelector('[data-test-subj="mlAdvancedDetectorDescriptionInput"]') with timeout=10000
[00:40:05]                   │ debg Find.findByCssSelector('[data-test-subj="mlAdvancedDetectorDescriptionInput"]') with timeout=10000
[00:40:06]                   │ debg TestSubjects.getAttribute(mlAdvancedDetectorDescriptionInput, value)
[00:40:06]                   │ debg TestSubjects.find(mlAdvancedDetectorDescriptionInput)
[00:40:06]                   │ debg Find.findByCssSelector('[data-test-subj="mlAdvancedDetectorDescriptionInput"]') with timeout=10000
[00:40:06]                   │ debg TestSubjects.clickWhenNotDisabled(mlCreateDetectorModalSaveButton)
[00:40:06]                   │ debg Find.clickByCssSelectorWhenNotDisabled('[data-test-subj="mlCreateDetectorModalSaveButton"]') with timeout=10000
[00:40:06]                   │ debg Find.findByCssSelector('[data-test-subj="mlCreateDetectorModalSaveButton"]') with timeout=10000
[00:40:06]                   │ debg TestSubjects.missingOrFail(mlCreateDetectorModal)
[00:40:06]                   │ debg Find.waitForDeletedByCssSelector('[data-test-subj="mlCreateDetectorModal"]') with timeout=2500
[00:40:06]                   └- ✓ pass  (7.0s) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation adds detectors"
[00:40:06]                 └-> job creation displays detector entries
[00:40:06]                   └-> "before each" hook: global before each
[00:40:06]                   │ debg TestSubjects.exists(mlAdvancedDetector 0)
[00:40:06]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlAdvancedDetector 0"]') with timeout=120000
[00:40:06]                   │ debg TestSubjects.getVisibleText(mlAdvancedDetector 0 > mlDetectorIdentifier)
[00:40:06]                   │ debg TestSubjects.find(mlAdvancedDetector 0 > mlDetectorIdentifier)
[00:40:06]                   │ debg Find.findByCssSelector('[data-test-subj="mlAdvancedDetector 0"] [data-test-subj="mlDetectorIdentifier"]') with timeout=10000
[00:40:07]                   │ debg TestSubjects.getVisibleText(mlAdvancedDetector 0 > mlDetectorDescription)
[00:40:07]                   │ debg TestSubjects.find(mlAdvancedDetector 0 > mlDetectorDescription)
[00:40:07]                   │ debg Find.findByCssSelector('[data-test-subj="mlAdvancedDetector 0"] [data-test-subj="mlDetectorDescription"]') with timeout=10000
[00:40:07]                   └- ✓ pass  (80ms) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation displays detector entries"
[00:40:07]                 └-> job creation inputs the bucket span
[00:40:07]                   └-> "before each" hook: global before each
[00:40:07]                   │ debg TestSubjects.exists(mlJobWizardInputBucketSpan)
[00:40:07]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlJobWizardInputBucketSpan"]') with timeout=120000
[00:40:07]                   │ debg TestSubjects.setValueWithChecks(mlJobWizardInputBucketSpan, 30m)
[00:40:07]                   │ debg TestSubjects.click(mlJobWizardInputBucketSpan)
[00:40:07]                   │ debg Find.clickByCssSelector('[data-test-subj="mlJobWizardInputBucketSpan"]') with timeout=10000
[00:40:07]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardInputBucketSpan"]') with timeout=10000
[00:40:07]                   │ debg TestSubjects.getAttribute(mlJobWizardInputBucketSpan, value)
[00:40:07]                   │ debg TestSubjects.find(mlJobWizardInputBucketSpan)
[00:40:07]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardInputBucketSpan"]') with timeout=10000
[00:40:07]                   └- ✓ pass  (581ms) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation inputs the bucket span"
[00:40:07]                 └-> job creation inputs influencers
[00:40:07]                   └-> "before each" hook: global before each
[00:40:07]                   │ debg TestSubjects.exists(mlInfluencerSelect > comboBoxInput)
[00:40:07]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlInfluencerSelect"] [data-test-subj="comboBoxInput"]') with timeout=120000
[00:40:07]                   │ debg comboBox.getComboBoxSelectedOptions, comboBoxSelector: mlInfluencerSelect > comboBoxInput
[00:40:07]                   │ debg TestSubjects.find(mlInfluencerSelect > comboBoxInput)
[00:40:07]                   │ debg Find.findByCssSelector('[data-test-subj="mlInfluencerSelect"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:40:07]                   └- ✓ pass  (39ms) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation inputs influencers"
[00:40:07]                 └-> job creation inputs the model memory limit
[00:40:07]                   └-> "before each" hook: global before each
[00:40:07]                   │ debg TestSubjects.exists(mlJobWizardInputModelMemoryLimit)
[00:40:07]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlJobWizardInputModelMemoryLimit"]') with timeout=120000
[00:40:07]                   │ debg TestSubjects.setValueWithChecks(mlJobWizardInputModelMemoryLimit, 10mb)
[00:40:07]                   │ debg TestSubjects.click(mlJobWizardInputModelMemoryLimit)
[00:40:07]                   │ debg Find.clickByCssSelector('[data-test-subj="mlJobWizardInputModelMemoryLimit"]') with timeout=10000
[00:40:07]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardInputModelMemoryLimit"]') with timeout=10000
[00:40:07]                   │ debg TestSubjects.getAttribute(mlJobWizardInputModelMemoryLimit, value)
[00:40:07]                   │ debg TestSubjects.find(mlJobWizardInputModelMemoryLimit)
[00:40:07]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardInputModelMemoryLimit"]') with timeout=10000
[00:40:07]                   └- ✓ pass  (258ms) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation inputs the model memory limit"
[00:40:07]                 └-> job creation displays the job details step
[00:40:07]                   └-> "before each" hook: global before each
[00:40:07]                   │ debg TestSubjects.exists(mlJobWizardNavButtonNext)
[00:40:07]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlJobWizardNavButtonNext"]') with timeout=120000
[00:40:07]                   │ debg TestSubjects.clickWhenNotDisabled(mlJobWizardNavButtonNext)
[00:40:07]                   │ debg Find.clickByCssSelectorWhenNotDisabled('[data-test-subj="mlJobWizardNavButtonNext"]') with timeout=10000
[00:40:07]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardNavButtonNext"]') with timeout=10000
[00:40:08]                   │ debg TestSubjects.exists(mlJobWizardStepTitleJobDetails)
[00:40:08]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlJobWizardStepTitleJobDetails"]') with timeout=120000
[00:40:08]                   └- ✓ pass  (645ms) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation displays the job details step"
[00:40:08]                 └-> job creation inputs the job id
[00:40:08]                   └-> "before each" hook: global before each
[00:40:08]                   │ debg TestSubjects.exists(mlJobWizardInputJobId)
[00:40:08]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlJobWizardInputJobId"]') with timeout=120000
[00:40:08]                   │ debg TestSubjects.setValueWithChecks(mlJobWizardInputJobId, event_rate_nanos_count_1_1583449023562)
[00:40:08]                   │ debg TestSubjects.click(mlJobWizardInputJobId)
[00:40:08]                   │ debg Find.clickByCssSelector('[data-test-subj="mlJobWizardInputJobId"]') with timeout=10000
[00:40:08]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardInputJobId"]') with timeout=10000
[00:40:09]                   │ debg TestSubjects.getAttribute(mlJobWizardInputJobId, value)
[00:40:09]                   │ debg TestSubjects.find(mlJobWizardInputJobId)
[00:40:09]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardInputJobId"]') with timeout=10000
[00:40:09]                   └- ✓ pass  (1.3s) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation inputs the job id"
[00:40:09]                 └-> job creation inputs the job description
[00:40:09]                   └-> "before each" hook: global before each
[00:40:09]                   │ debg TestSubjects.exists(mlJobWizardInputJobDescription)
[00:40:09]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlJobWizardInputJobDescription"]') with timeout=120000
[00:40:09]                   │ debg TestSubjects.setValueWithChecks(mlJobWizardInputJobDescription, Create advanced job based on the event rate dataset with a date_nanos time field, 30m bucketspan and count)
[00:40:09]                   │ debg TestSubjects.click(mlJobWizardInputJobDescription)
[00:40:09]                   │ debg Find.clickByCssSelector('[data-test-subj="mlJobWizardInputJobDescription"]') with timeout=10000
[00:40:09]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardInputJobDescription"]') with timeout=10000
[00:40:13]                   │ debg TestSubjects.getVisibleText(mlJobWizardInputJobDescription)
[00:40:13]                   │ debg TestSubjects.find(mlJobWizardInputJobDescription)
[00:40:13]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardInputJobDescription"]') with timeout=10000
[00:40:13]                   └- ✓ pass  (3.3s) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation inputs the job description"
[00:40:13]                 └-> job creation inputs job groups
[00:40:13]                   └-> "before each" hook: global before each
[00:40:13]                   │ debg TestSubjects.exists(mlJobWizardComboBoxJobGroups > comboBoxInput)
[00:40:13]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlJobWizardComboBoxJobGroups"] [data-test-subj="comboBoxInput"]') with timeout=120000
[00:40:13]                   │ debg comboBox.setCustom, comboBoxSelector: mlJobWizardComboBoxJobGroups > comboBoxInput, value: automated
[00:40:13]                   │ debg TestSubjects.find(mlJobWizardComboBoxJobGroups > comboBoxInput)
[00:40:13]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardComboBoxJobGroups"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:40:15]                   │ debg TestSubjects.exists(~comboBoxOptionsList)
[00:40:15]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj~="comboBoxOptionsList"]') with timeout=2500
[00:40:15]                   │ debg comboBox.getComboBoxSelectedOptions, comboBoxSelector: mlJobWizardComboBoxJobGroups > comboBoxInput
[00:40:15]                   │ debg TestSubjects.find(mlJobWizardComboBoxJobGroups > comboBoxInput)
[00:40:15]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardComboBoxJobGroups"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:40:15]                   │ debg comboBox.setCustom, comboBoxSelector: mlJobWizardComboBoxJobGroups > comboBoxInput, value: event-rate
[00:40:15]                   │ debg TestSubjects.find(mlJobWizardComboBoxJobGroups > comboBoxInput)
[00:40:15]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardComboBoxJobGroups"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:40:17]                   │ debg TestSubjects.exists(~comboBoxOptionsList)
[00:40:17]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj~="comboBoxOptionsList"]') with timeout=2500
[00:40:17]                   │ debg comboBox.getComboBoxSelectedOptions, comboBoxSelector: mlJobWizardComboBoxJobGroups > comboBoxInput
[00:40:17]                   │ debg TestSubjects.find(mlJobWizardComboBoxJobGroups > comboBoxInput)
[00:40:17]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardComboBoxJobGroups"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:40:17]                   │ debg comboBox.setCustom, comboBoxSelector: mlJobWizardComboBoxJobGroups > comboBoxInput, value: date-nanos
[00:40:17]                   │ debg TestSubjects.find(mlJobWizardComboBoxJobGroups > comboBoxInput)
[00:40:17]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardComboBoxJobGroups"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:40:20]                   │ debg TestSubjects.exists(~comboBoxOptionsList)
[00:40:20]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj~="comboBoxOptionsList"]') with timeout=2500
[00:40:20]                   │ debg comboBox.getComboBoxSelectedOptions, comboBoxSelector: mlJobWizardComboBoxJobGroups > comboBoxInput
[00:40:20]                   │ debg TestSubjects.find(mlJobWizardComboBoxJobGroups > comboBoxInput)
[00:40:20]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardComboBoxJobGroups"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:40:20]                   │ debg comboBox.getComboBoxSelectedOptions, comboBoxSelector: mlJobWizardComboBoxJobGroups > comboBoxInput
[00:40:20]                   │ debg TestSubjects.find(mlJobWizardComboBoxJobGroups > comboBoxInput)
[00:40:20]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardComboBoxJobGroups"] [data-test-subj="comboBoxInput"]') with timeout=10000
[00:40:20]                   └- ✓ pass  (7.0s) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation inputs job groups"
[00:40:20]                 └-> job creation opens the additional settings section
[00:40:20]                   └-> "before each" hook: global before each
[00:40:20]                   │ debg TestSubjects.exists(mlJobWizardAdditionalSettingsSection)
[00:40:20]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlJobWizardAdditionalSettingsSection"]') with timeout=2500
[00:40:20]                   │ debg --- retry.tryForTime error: [data-test-subj="mlJobWizardAdditionalSettingsSection"] is not displayed
[00:40:20]                   │ debg --- retry.tryForTime failed again with the same message...
[00:40:21]                   │ debg --- retry.tryForTime failed again with the same message...
[00:40:21]                   │ debg --- retry.tryForTime failed again with the same message...
[00:40:22]                   │ debg --- retry.tryForTime failed again with the same message...
[00:40:22]                   │ debg TestSubjects.click(mlJobWizardToggleAdditionalSettingsSection)
[00:40:22]                   │ debg Find.clickByCssSelector('[data-test-subj="mlJobWizardToggleAdditionalSettingsSection"]') with timeout=10000
[00:40:22]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardToggleAdditionalSettingsSection"]') with timeout=10000
[00:40:22]                   │ debg TestSubjects.exists(mlJobWizardAdditionalSettingsSection)
[00:40:22]                   │ debg Find.existsByDisplayedByCssSelector('[data-test-subj="mlJobWizardAdditionalSettingsSection"]') with timeout=1000
[00:40:22]                   └- ✓ pass  (2.7s) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation opens the additional settings section"
[00:40:22]                 └-> job creation displays the model plot switch
[00:40:22]                   └-> "before each" hook: global before each
[00:40:22]                   │ debg TestSubjects.exists(mlJobWizardSwitchModelPlot)
[00:40:22]                   │ debg Find.existsByCssSelector('[data-test-subj="mlJobWizardSwitchModelPlot"]') with timeout=120000
[00:40:22]                   └- ✓ pass  (15ms) "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation displays the model plot switch"
[00:40:22]                 └-> job creation enables the dedicated index switch
[00:40:22]                   └-> "before each" hook: global before each
[00:40:22]                   │ debg TestSubjects.exists(mlJobWizardSwitchUseDedicatedIndex)
[00:40:22]                   │ debg Find.existsByCssSelector('[data-test-subj="mlJobWizardSwitchUseDedicatedIndex"]') with timeout=120000
[00:40:22]                   │ debg TestSubjects.getAttribute(mlJobWizardSwitchUseDedicatedIndex, aria-checked)
[00:40:22]                   │ debg TestSubjects.find(mlJobWizardSwitchUseDedicatedIndex)
[00:40:22]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardSwitchUseDedicatedIndex"]') with timeout=10000
[00:40:22]                   │ debg TestSubjects.clickWhenNotDisabled(mlJobWizardSwitchUseDedicatedIndex)
[00:40:22]                   │ debg Find.clickByCssSelectorWhenNotDisabled('[data-test-subj="mlJobWizardSwitchUseDedicatedIndex"]') with timeout=10000
[00:40:22]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardSwitchUseDedicatedIndex"]') with timeout=10000
[00:40:23]                   │ debg TestSubjects.getAttribute(mlJobWizardSwitchUseDedicatedIndex, aria-checked)
[00:40:23]                   │ debg TestSubjects.find(mlJobWizardSwitchUseDedicatedIndex)
[00:40:23]                   │ debg Find.findByCssSelector('[data-test-subj="mlJobWizardSwitchUseDedicatedIndex"]') with timeout=10000
[00:40:23]                   │ info Taking screenshot "/dev/shm/workspace/kibana/x-pack/test/functional/screenshots/failure/machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation enables the dedicated index switch.png"
[00:40:23]                   │ info Current URL is: http://localhost:6131/app/ml#/jobs/new_job/advanced?index=5cea1700-5d30-11ea-a203-85f3339cc222
[00:40:23]                   │ info Saving page source to: /dev/shm/workspace/kibana/x-pack/test/functional/failure_debug/html/machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation enables the dedicated index switch.html
[00:40:23]                   └- ✖ fail: "machine learning anomaly detection job on data set with date_nanos time field with count detector and model plot disabled job creation enables the dedicated index switch"
[00:40:23]                   │

Stack Trace

{ Error: expected false to sort of equal true
    at Assertion.assert (/dev/shm/workspace/kibana/packages/kbn-expect/expect.js:100:11)
    at Assertion.eql (/dev/shm/workspace/kibana/packages/kbn-expect/expect.js:244:8)
    at Object.assertDedicatedIndexSwitchCheckedState (test/functional/services/machine_learning/job_wizard_common.ts:267:37)
    at process._tickCallback (internal/process/next_tick.js:68:7) actual: 'false', expected: 'true', showDiff: true }

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jloleysens added a commit to jloleysens/kibana that referenced this pull request Mar 6, 2020
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Merge branch 'master' of github.com:elastic/kibana into ua/fix/reinde…
d73316a 
…x-closed-index

* 'master' of github.com:elastic/kibana: (32 commits)
  [ML] Use Kibana's HttpHandler for HTTP requests (elastic#59320)
  [APM] Create settings page to manage Custom Links (elastic#57788)
  [Upgrade Assistant] Server-side batch reindexing (elastic#58598)
  completes navigation test (elastic#59141)
  [SIEM] Fixes dragging entries to the Timeline while data is loading may trigger a partial page reload (elastic#59476)
  [Reporting/Screenshots] Handle page setup errors and capture the page, don't fail the job (elastic#58683)
  [SIEM] [CASES] API with io-ts validation (elastic#59265)
  Use camelCase rather than snakeCase for plugin name (elastic#59461)
  [Maps] top term percentage field property (elastic#59386)
  Add custom action to registry and show actions list in siem (elastic#58395)
  [Search service] Add enhanced ES search strategy (elastic#59224)
  [Logs UI] Speed up stream rendering using memoization (elastic#59163)
  expand max-old-space-size for xpack jest tests (elastic#59455)
  Added possibility to embed connectors create and edit flyouts (elastic#58514)
  Revert "Temporarily disabling PR project mappings (elastic#59485)" (elastic#59491)
  Temporarily disabling PR project mappings (elastic#59485)
  [Endpoint] Fix alert list functional test error (elastic#59357)
  Rename status_page to statusPage (elastic#59186)
  Fix visual baseline job (elastic#59348)
  Extended AlertContextValue with metadata optional property (elastic#59391)
  ...

# Conflicts:
#	x-pack/plugins/upgrade_assistant/common/types.ts
#	x-pack/plugins/upgrade_assistant/server/lib/reindexing/reindex_actions.ts
#	x-pack/plugins/upgrade_assistant/server/lib/reindexing/reindex_service.test.ts
#	x-pack/plugins/upgrade_assistant/server/lib/reindexing/reindex_service.ts
#	x-pack/plugins/upgrade_assistant/server/routes/reindex_indices/reindex_indices.test.ts
#	x-pack/plugins/upgrade_assistant/server/routes/reindex_indices/reindex_indices.ts
@kibanamachine kibanamachine added the backport missing Added to PRs automatically when the are determined to be missing a backport. label Mar 6, 2020
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kibanamachine commented Mar 6, 2020

Friendly reminder: Looks like this PR hasn’t been backported yet.
To create backports run node scripts/backport --pr 59491 or prevent reminders by adding the backport:skip label.

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kibanamachine commented Mar 7, 2020

Friendly reminder: Looks like this PR hasn’t been backported yet.
To create backports run node scripts/backport --pr 59491 or prevent reminders by adding the backport:skip label.

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kibanamachine commented Mar 8, 2020

Friendly reminder: Looks like this PR hasn’t been backported yet.
To create backports run node scripts/backport --pr 59491 or prevent reminders by adding the backport:skip label.

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kibanamachine commented Mar 9, 2020

Friendly reminder: Looks like this PR hasn’t been backported yet.
To create backports run node scripts/backport --pr 59491 or prevent reminders by adding the backport:skip label.

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kibanamachine commented Mar 10, 2020

Friendly reminder: Looks like this PR hasn’t been backported yet.
To create backports run node scripts/backport --pr 59491 or prevent reminders by adding the backport:skip label.

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kibanamachine commented Mar 11, 2020

Friendly reminder: Looks like this PR hasn’t been backported yet.
To create backports run node scripts/backport --pr 59491 or prevent reminders by adding the backport:skip label.

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kibanamachine commented Mar 12, 2020

Friendly reminder: Looks like this PR hasn’t been backported yet.
To create backports run node scripts/backport --pr 59491 or prevent reminders by adding the backport:skip label.

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kibanamachine commented Mar 13, 2020

Friendly reminder: Looks like this PR hasn’t been backported yet.
To create backports run node scripts/backport --pr 59491 or prevent reminders by adding the backport:skip label.

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kibanamachine commented Mar 14, 2020

Friendly reminder: Looks like this PR hasn’t been backported yet.
To create backports run node scripts/backport --pr 59491 or prevent reminders by adding the backport:skip label.

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kibanamachine commented Mar 15, 2020

Friendly reminder: Looks like this PR hasn’t been backported yet.
To create backports run node scripts/backport --pr 59491 or prevent reminders by adding the backport:skip label.

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kibanamachine commented Mar 17, 2020

Friendly reminder: Looks like this PR hasn’t been backported yet.
To create backports run node scripts/backport --pr 59491 or prevent reminders by adding the backport:skip label.

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kibanamachine commented Mar 18, 2020

Friendly reminder: Looks like this PR hasn’t been backported yet.
To create backports run node scripts/backport --pr 59491 or prevent reminders by adding the backport:skip label.

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kibanamachine commented Mar 19, 2020

Friendly reminder: Looks like this PR hasn’t been backported yet.
To create backports run node scripts/backport --pr 59491 or prevent reminders by adding the backport:skip label.

@spalger spalger added the backport:skip This PR does not require backporting label Mar 19, 2020
@kibanamachine kibanamachine removed the backport missing Added to PRs automatically when the are determined to be missing a backport. label Mar 19, 2020
@spalger spalger deleted the revert-59485-master branch May 8, 2022 21:57
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@alexh97 @kibanamachine @spalger