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[ML] Adjust and re-enable categorization advanced wizard test (#51005) (#52201)

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Robert Oskamp 2019-12-04 20:17:18 +01:00 • committed by GitHub
parent f24be43b68
commit 73c856b139
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1 changed files with 10 additions and 14 deletions
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24
x-pack/test/functional/apps/machine_learning/anomaly_detection/advanced_job.ts
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@ -206,8 +206,6 @@ export default function({ getService }: FtrProviderContext) {
},
},
{
// TODO: fix and re-enable the categorization test as soon as Kibana and ES are in sync again
skipTest: true,
suiteTitle: 'with categorization detector and default datafeed settings',
jobSource: 'ecommerce',
jobId: `ec_advanced_2_${Date.now()}`,
@ -230,7 +228,7 @@ export default function({ getService }: FtrProviderContext) {
} as Detector,
],
influencers: ['mlcategory'],
bucketSpan: '12h',
bucketSpan: '4h',
memoryLimit: '100mb',
} as PickFieldsConfig,
datafeedConfig: {} as DatafeedConfig,
@ -247,30 +245,30 @@ export default function({ getService }: FtrProviderContext) {
},
counts: {
processed_record_count: '4,675',
processed_field_count: '4,588',
input_bytes: '4.4 MB',
input_field_count: '6,154',
processed_field_count: '4,675',
input_bytes: '354.2 KB',
input_field_count: '4,675',
invalid_date_count: '0',
missing_field_count: '87',
missing_field_count: '0',
out_of_order_timestamp_count: '0',
empty_bucket_count: '0',
sparse_bucket_count: '0',
bucket_count: '61',
bucket_count: '185',
earliest_record_timestamp: '2019-06-12 00:04:19',
latest_record_timestamp: '2019-07-12 23:45:36',
input_record_count: '4,675',
latest_bucket_timestamp: '2019-07-12 12:00:00',
latest_bucket_timestamp: '2019-07-12 20:00:00',
},
modelSizeStats: {
result_type: 'model_size_stats',
model_bytes_exceeded: '0',
model_bytes_memory_limit: '104857600',
total_by_field_count: '3,787',
total_by_field_count: '994',
total_over_field_count: '0',
total_partition_field_count: '2',
bucket_allocation_failures_count: '0',
memory_status: 'ok',
timestamp: '2019-07-12 00:00:00',
timestamp: '2019-07-12 16:00:00',
},
},
},
@ -287,9 +285,7 @@ export default function({ getService }: FtrProviderContext) {
await ml.api.cleanMlIndices();
});
for (const testData of testDataList.filter(td => {
return td.skipTest !== true;
})) {
for (const testData of testDataList) {
describe(`${testData.suiteTitle}`, function() {
it('job creation loads the job management page', async () => {
await ml.navigation.navigateToMl();