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[ML] Functional tests - fix advanced job wizard tests (#133172)

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This PR fixes and re-enables the advanced job wizard functional tests.
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Robert Oskamp 2022-05-31 13:06:22 +02:00 • committed by GitHub
parent 8686943399
commit ab4943e62c
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1 changed files with 24 additions and 23 deletions
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47
x-pack/test/functional/apps/ml/anomaly_detection/advanced_job.ts
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@ -151,19 +151,19 @@ export default function ({ getService }: FtrProviderContext) {
},
{
suiteTitle: 'with categorization detector and default datafeed settings',
jobSource: 'ft_ecommerce',
jobId: `ec_advanced_2_${Date.now()}`,
jobSource: 'ft_categorization_small',
jobId: `categorization_advanced_2_${Date.now()}`,
get jobIdClone(): string {
return `${this.jobId}_clone`;
},
jobDescription:
'Create advanced job from ft_ecommerce dataset with a categorization detector and default datafeed settings',
jobGroups: ['automated', 'ecommerce', 'advanced'],
'Create advanced job from ft_categorization_small dataset with a categorization detector and default datafeed settings',
jobGroups: ['automated', 'categorization', 'advanced'],
get jobGroupsClone(): string[] {
return [...this.jobGroups, 'clone'];
},
pickFieldsConfig: {
categorizationField: 'products.product_name',
categorizationField: 'field1',
detectors: [
{
identifier: 'count by mlcategory',
@ -178,30 +178,30 @@ export default function ({ getService }: FtrProviderContext) {
datafeedConfig: {} as DatafeedConfig,
expected: {
wizard: {
timeField: 'order_date',
timeField: '@timestamp',
},
row: {
recordCount: '4,675',
recordCount: '1,000',
memoryStatus: 'ok',
jobState: 'closed',
datafeedState: 'stopped',
latestTimestamp: '2019-07-12 23:45:36',
latestTimestamp: '2019-11-21 00:01:13',
},
counts: {
processed_record_count: '4,675',
processed_field_count: '4,675',
input_bytes: '354.2 KB',
input_field_count: '4,675',
processed_record_count: '1,000',
processed_field_count: '1,000',
input_bytes: '148.8 KB',
input_field_count: '1,000',
invalid_date_count: '0',
missing_field_count: '0',
out_of_order_timestamp_count: '0',
empty_bucket_count: '0',
empty_bucket_count: '1,073',
sparse_bucket_count: '0',
bucket_count: '185',
earliest_record_timestamp: '2019-06-12 00:04:19',
latest_record_timestamp: '2019-07-12 23:45:36',
input_record_count: '4,675',
latest_bucket_timestamp: '2019-07-12 20:00:00',
bucket_count: '1,378',
earliest_record_timestamp: '2019-04-05 11:25:35',
latest_record_timestamp: '2019-11-21 00:01:13',
input_record_count: '1,000',
latest_bucket_timestamp: '2019-11-21 00:00:00',
},
modelSizeStats: {
result_type: 'model_size_stats',
@ -211,7 +211,7 @@ export default function ({ getService }: FtrProviderContext) {
total_partition_field_count: '2',
bucket_allocation_failures_count: '0',
memory_status: 'ok',
timestamp: '2019-07-12 16:00:00',
timestamp: '2019-11-20 20:00:00',
},
},
},
@ -219,12 +219,13 @@ export default function ({ getService }: FtrProviderContext) {
const calendarId = `wizard-test-calendar_${Date.now()}`;
// Failing: See https://github.com/elastic/kibana/issues/132955
describe.skip('advanced job', function () {
describe('advanced job', function () {
this.tags(['ml']);
before(async () => {
await esArchiver.loadIfNeeded('x-pack/test/functional/es_archives/ml/ecommerce');
await esArchiver.loadIfNeeded('x-pack/test/functional/es_archives/ml/categorization_small');
await ml.testResources.createIndexPatternIfNeeded('ft_ecommerce', 'order_date');
await ml.testResources.createIndexPatternIfNeeded('ft_categorization_small', '@timestamp');
await ml.testResources.setKibanaTimeZoneToUTC();
await ml.api.createCalendar(calendarId);
@ -234,6 +235,7 @@ export default function ({ getService }: FtrProviderContext) {
after(async () => {
await ml.api.cleanMlIndices();
await ml.testResources.deleteIndexPatternByTitle('ft_ecommerce');
await ml.testResources.deleteIndexPatternByTitle('ft_categorization_small');
});
for (const testData of testDataList) {
@ -421,8 +423,7 @@ export default function ({ getService }: FtrProviderContext) {
await ml.jobWizardCommon.advanceToSummarySection();
});
// Failing ES Promotion: https://buildkite.com/elastic/kibana-elasticsearch-snapshot-verify/builds/1253
it.skip('job creation runs the job and displays it correctly in the job list', async () => {
it('job creation runs the job and displays it correctly in the job list', async () => {
await ml.testExecution.logTestStep(
'job creation creates the job and finishes processing'
);