This PR temporarily disables categorization tests. Co-authored-by: Robert Oskamp <robert.oskamp@elastic.co>
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@ -284,7 +284,8 @@ export default ({ getService }: FtrProviderContext) => {
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},
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];
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describe('Categorization example endpoint - ', function () {
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// skipping categorization tests, see https://github.com/elastic/kibana/issues/101056
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describe.skip('Categorization example endpoint - ', function () {
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before(async () => {
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await esArchiver.loadIfNeeded('ml/categorization');
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await ml.testResources.setKibanaTimeZoneToUTC();
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@ -241,33 +241,34 @@ export default ({ getService }: FtrProviderContext) => {
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dashboards: [] as string[],
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},
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},
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{
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testTitleSuffix:
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'for logs_ui_categories with prefix, startDatafeed true and estimateModelMemory true',
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sourceDataArchive: 'ml/module_logs',
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indexPattern: { name: 'ft_module_logs', timeField: '@timestamp' },
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module: 'logs_ui_categories',
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user: USER.ML_POWERUSER,
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requestBody: {
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prefix: 'pf7_',
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indexPatternName: 'ft_module_logs',
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startDatafeed: true,
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end: Date.now(),
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},
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expected: {
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responseCode: 200,
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jobs: [
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{
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jobId: 'pf7_log-entry-categories-count',
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jobState: JOB_STATE.CLOSED,
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datafeedState: DATAFEED_STATE.STOPPED,
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},
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],
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searches: [] as string[],
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visualizations: [] as string[],
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dashboards: [] as string[],
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},
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},
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// skipping categorization tests, see https://github.com/elastic/kibana/issues/101056
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// {
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// testTitleSuffix:
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// 'for logs_ui_categories with prefix, startDatafeed true and estimateModelMemory true',
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// sourceDataArchive: 'ml/module_logs',
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// indexPattern: { name: 'ft_module_logs', timeField: '@timestamp' },
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// module: 'logs_ui_categories',
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// user: USER.ML_POWERUSER,
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// requestBody: {
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// prefix: 'pf7_',
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// indexPatternName: 'ft_module_logs',
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// startDatafeed: true,
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// end: Date.now(),
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// },
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// expected: {
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// responseCode: 200,
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// jobs: [
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// {
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// jobId: 'pf7_log-entry-categories-count',
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// jobState: JOB_STATE.CLOSED,
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// datafeedState: DATAFEED_STATE.STOPPED,
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// },
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// ],
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// searches: [] as string[],
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// visualizations: [] as string[],
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// dashboards: [] as string[],
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// },
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// },
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{
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testTitleSuffix: 'for nginx_ecs with prefix, startDatafeed true and estimateModelMemory true',
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sourceDataArchive: 'ml/module_nginx',
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@ -51,7 +51,8 @@ export default ({ getService }: FtrProviderContext) => {
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query: { bool: { must: [{ match_all: {} }] } },
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};
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describe('get categorizer_stats', function () {
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// skipping categorization tests, see https://github.com/elastic/kibana/issues/101056
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describe.skip('get categorizer_stats', function () {
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before(async () => {
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await esArchiver.loadIfNeeded('ml/module_sample_logs');
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await ml.testResources.setKibanaTimeZoneToUTC();
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@ -85,7 +85,8 @@ export default ({ getService }: FtrProviderContext) => {
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const testJobIds = testSetUps.map((t) => t.jobId);
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describe('get stopped_partitions', function () {
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// skipping categorization tests, see https://github.com/elastic/kibana/issues/101056
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describe.skip('get stopped_partitions', function () {
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before(async () => {
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await esArchiver.loadIfNeeded('ml/module_sample_logs');
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await ml.testResources.setKibanaTimeZoneToUTC();
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@ -149,72 +149,73 @@ export default function ({ getService }: FtrProviderContext) {
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},
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},
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},
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{
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suiteTitle: 'with categorization detector and default datafeed settings',
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jobSource: 'ft_ecommerce',
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jobId: `ec_advanced_2_${Date.now()}`,
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get jobIdClone(): string {
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return `${this.jobId}_clone`;
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},
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jobDescription:
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'Create advanced job from ft_ecommerce dataset with a categorization detector and default datafeed settings',
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jobGroups: ['automated', 'ecommerce', 'advanced'],
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get jobGroupsClone(): string[] {
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return [...this.jobGroups, 'clone'];
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},
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pickFieldsConfig: {
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categorizationField: 'products.product_name',
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detectors: [
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{
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identifier: 'count by mlcategory',
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function: 'count',
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byField: 'mlcategory',
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} as Detector,
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],
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influencers: ['mlcategory'],
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bucketSpan: '4h',
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memoryLimit: '100mb',
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} as PickFieldsConfig,
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datafeedConfig: {} as DatafeedConfig,
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expected: {
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wizard: {
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timeField: 'order_date',
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},
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row: {
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recordCount: '4,675',
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memoryStatus: 'ok',
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jobState: 'closed',
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datafeedState: 'stopped',
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latestTimestamp: '2019-07-12 23:45:36',
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},
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counts: {
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processed_record_count: '4,675',
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processed_field_count: '4,675',
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input_bytes: '354.2 KB',
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input_field_count: '4,675',
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invalid_date_count: '0',
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missing_field_count: '0',
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out_of_order_timestamp_count: '0',
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empty_bucket_count: '0',
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sparse_bucket_count: '0',
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bucket_count: '185',
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earliest_record_timestamp: '2019-06-12 00:04:19',
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latest_record_timestamp: '2019-07-12 23:45:36',
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input_record_count: '4,675',
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latest_bucket_timestamp: '2019-07-12 20:00:00',
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},
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modelSizeStats: {
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result_type: 'model_size_stats',
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model_bytes_exceeded: '0.0 B',
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// not checking total_by_field_count as the number of categories might change
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total_over_field_count: '0',
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total_partition_field_count: '2',
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bucket_allocation_failures_count: '0',
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memory_status: 'ok',
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timestamp: '2019-07-12 16:00:00',
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},
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},
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},
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// skipping categorization tests, see https://github.com/elastic/kibana/issues/101056
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// {
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// suiteTitle: 'with categorization detector and default datafeed settings',
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// jobSource: 'ft_ecommerce',
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// jobId: `ec_advanced_2_${Date.now()}`,
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// get jobIdClone(): string {
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// return `${this.jobId}_clone`;
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// },
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// jobDescription:
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// 'Create advanced job from ft_ecommerce dataset with a categorization detector and default datafeed settings',
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// jobGroups: ['automated', 'ecommerce', 'advanced'],
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// get jobGroupsClone(): string[] {
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// return [...this.jobGroups, 'clone'];
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// },
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// pickFieldsConfig: {
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// categorizationField: 'products.product_name',
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// detectors: [
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// {
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// identifier: 'count by mlcategory',
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// function: 'count',
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// byField: 'mlcategory',
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// } as Detector,
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// ],
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// influencers: ['mlcategory'],
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// bucketSpan: '4h',
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// memoryLimit: '100mb',
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// } as PickFieldsConfig,
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// datafeedConfig: {} as DatafeedConfig,
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// expected: {
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// wizard: {
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// timeField: 'order_date',
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// },
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// row: {
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// recordCount: '4,675',
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// memoryStatus: 'ok',
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// jobState: 'closed',
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// datafeedState: 'stopped',
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// latestTimestamp: '2019-07-12 23:45:36',
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// },
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// counts: {
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// processed_record_count: '4,675',
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// processed_field_count: '4,675',
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// input_bytes: '354.2 KB',
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// input_field_count: '4,675',
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// invalid_date_count: '0',
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// missing_field_count: '0',
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// out_of_order_timestamp_count: '0',
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// empty_bucket_count: '0',
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// sparse_bucket_count: '0',
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// bucket_count: '185',
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// earliest_record_timestamp: '2019-06-12 00:04:19',
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// latest_record_timestamp: '2019-07-12 23:45:36',
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// input_record_count: '4,675',
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// latest_bucket_timestamp: '2019-07-12 20:00:00',
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// },
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// modelSizeStats: {
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// result_type: 'model_size_stats',
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// model_bytes_exceeded: '0.0 B',
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// // not checking total_by_field_count as the number of categories might change
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// total_over_field_count: '0',
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// total_partition_field_count: '2',
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// bucket_allocation_failures_count: '0',
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// memory_status: 'ok',
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// timestamp: '2019-07-12 16:00:00',
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// },
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// },
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// },
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];
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const calendarId = `wizard-test-calendar_${Date.now()}`;
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@ -74,7 +74,8 @@ export default function ({ getService }: FtrProviderContext) {
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const calendarId = `wizard-test-calendar_${Date.now()}`;
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describe('categorization', function () {
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// skipping categorization tests, see https://github.com/elastic/kibana/issues/101056
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describe.skip('categorization', function () {
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this.tags(['mlqa']);
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before(async () => {
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await esArchiver.loadIfNeeded('ml/categorization');
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