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[ML] Add API integration tests for start and stop datafeeds
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x-pack/test/api_integration/apis/ml/jobs/force_start_datafeeds.ts
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/* | ||
* Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one | ||
* or more contributor license agreements. Licensed under the Elastic License | ||
* 2.0; you may not use this file except in compliance with the Elastic License | ||
* 2.0. | ||
*/ | ||
|
||
import expect from '@kbn/expect'; | ||
import { FtrProviderContext } from '../../../ftr_provider_context'; | ||
import { USER } from '../../../../functional/services/ml/security_common'; | ||
import { JOB_STATE, DATAFEED_STATE } from '../../../../../plugins/ml/common/constants/states'; | ||
import { MULTI_METRIC_JOB_CONFIG, SINGLE_METRIC_JOB_CONFIG, DATAFEED_CONFIG } from './common_jobs'; | ||
import { COMMON_REQUEST_HEADERS } from '../../../../functional/services/ml/common_api'; | ||
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export default ({ getService }: FtrProviderContext) => { | ||
const esArchiver = getService('esArchiver'); | ||
const supertest = getService('supertestWithoutAuth'); | ||
const ml = getService('ml'); | ||
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const testSetupJobConfigs = [SINGLE_METRIC_JOB_CONFIG, MULTI_METRIC_JOB_CONFIG]; | ||
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async function runStartDatafeedsRequest( | ||
user: USER, | ||
requestBody: object, | ||
expectedResponsecode: number | ||
): Promise<any> { | ||
const { body } = await supertest | ||
.post('/api/ml/jobs/force_start_datafeeds') | ||
.auth(user, ml.securityCommon.getPasswordForUser(user)) | ||
.set(COMMON_REQUEST_HEADERS) | ||
.send(requestBody) | ||
.expect(expectedResponsecode); | ||
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return body; | ||
} | ||
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const testDataList = [ | ||
{ | ||
testTitle: 'as ML Poweruser', | ||
jobIds: [SINGLE_METRIC_JOB_CONFIG.job_id, MULTI_METRIC_JOB_CONFIG.job_id], | ||
user: USER.ML_POWERUSER, | ||
requestBody: { | ||
datafeedIds: [ | ||
`datafeed-${SINGLE_METRIC_JOB_CONFIG.job_id}`, | ||
`datafeed-${MULTI_METRIC_JOB_CONFIG.job_id}`, | ||
], | ||
start: 1454803200000, // Starts in real-time from Feb 7 2016 00:00 | ||
}, | ||
expected: { | ||
responseCode: 200, | ||
responseBody: { | ||
[`datafeed-${SINGLE_METRIC_JOB_CONFIG.job_id}`]: { started: true }, | ||
[`datafeed-${MULTI_METRIC_JOB_CONFIG.job_id}`]: { started: true }, | ||
}, | ||
}, | ||
}, | ||
]; | ||
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const invalidTestDataList = [ | ||
{ | ||
testTitle: 'as ML Poweruser with datafeed ID that does not exist', | ||
jobIds: [SINGLE_METRIC_JOB_CONFIG.job_id], | ||
user: USER.ML_POWERUSER, | ||
requestBody: { | ||
datafeedIds: [`invalid-datafeed-${SINGLE_METRIC_JOB_CONFIG.job_id}`], | ||
start: 1454803200000, // Feb 7 2016 00:00 | ||
}, | ||
expected: { | ||
responseCode: 200, | ||
responseBody: { | ||
[`invalid-datafeed-${SINGLE_METRIC_JOB_CONFIG.job_id}`]: { started: false }, | ||
}, | ||
}, | ||
}, | ||
]; | ||
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const testDataListUnauthorized = [ | ||
{ | ||
testTitle: 'as ML Unauthorized user', | ||
user: USER.ML_UNAUTHORIZED, | ||
jobIds: [SINGLE_METRIC_JOB_CONFIG.job_id, MULTI_METRIC_JOB_CONFIG.job_id], | ||
requestBody: { | ||
datafeedIds: [ | ||
`datafeed-${SINGLE_METRIC_JOB_CONFIG.job_id}`, | ||
`datafeed-${MULTI_METRIC_JOB_CONFIG.job_id}`, | ||
], | ||
start: 1454803200000, // Feb 7 2016 00:00 | ||
end: 1455235200000, // Feb 12 2016 00:00 | ||
}, | ||
expected: { | ||
responseCode: 403, | ||
error: 'Forbidden', | ||
}, | ||
}, | ||
{ | ||
testTitle: 'as ML Viewer', | ||
user: USER.ML_VIEWER, | ||
jobIds: [SINGLE_METRIC_JOB_CONFIG.job_id, MULTI_METRIC_JOB_CONFIG.job_id], | ||
requestBody: { | ||
datafeedIds: [ | ||
`datafeed-${SINGLE_METRIC_JOB_CONFIG.job_id}`, | ||
`datafeed-${MULTI_METRIC_JOB_CONFIG.job_id}`, | ||
], | ||
start: 1454803200000, // Feb 7 2016 00:00 | ||
end: 1455235200000, // Feb 12 2016 00:00 | ||
}, | ||
expected: { | ||
responseCode: 403, | ||
error: 'Forbidden', | ||
}, | ||
}, | ||
]; | ||
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describe('force_start_datafeeds', function () { | ||
before(async () => { | ||
await esArchiver.loadIfNeeded('x-pack/test/functional/es_archives/ml/farequote'); | ||
await ml.testResources.setKibanaTimeZoneToUTC(); | ||
}); | ||
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after(async () => { | ||
await ml.api.cleanMlIndices(); | ||
}); | ||
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it('sets up jobs', async () => { | ||
for (const job of testSetupJobConfigs) { | ||
const datafeedId = `datafeed-${job.job_id}`; | ||
await ml.api.createAnomalyDetectionJob(job); | ||
await ml.api.createDatafeed({ | ||
...DATAFEED_CONFIG, | ||
datafeed_id: datafeedId, | ||
job_id: job.job_id, | ||
}); | ||
} | ||
}); | ||
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describe('rejects requests for unauthorized users', function () { | ||
for (const testData of testDataListUnauthorized) { | ||
describe('fails to force start supplied datafeed IDs', function () { | ||
it(`${testData.testTitle}`, async () => { | ||
const body = await runStartDatafeedsRequest( | ||
testData.user, | ||
testData.requestBody, | ||
testData.expected.responseCode | ||
); | ||
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expect(body).to.have.property('error').eql(testData.expected.error); | ||
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// check jobs are still closed | ||
for (const id of testData.jobIds) { | ||
await ml.api.waitForJobState(id, JOB_STATE.CLOSED); | ||
} | ||
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// check datafeeds are still stopped | ||
for (const id of testData.requestBody.datafeedIds) { | ||
await ml.api.waitForDatafeedState(id, DATAFEED_STATE.STOPPED); | ||
} | ||
}); | ||
}); | ||
} | ||
}); | ||
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describe('starts datafeeds with supplied IDs', function () { | ||
for (const testData of testDataList) { | ||
it(`${testData.testTitle}`, async () => { | ||
const body = await runStartDatafeedsRequest( | ||
testData.user, | ||
testData.requestBody, | ||
testData.expected.responseCode | ||
); | ||
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const expectedResponse = testData.expected.responseBody; | ||
const expectedRspDatafeedIds = Object.keys(expectedResponse).sort((a, b) => | ||
a.localeCompare(b) | ||
); | ||
const actualRspDatafeedIds = Object.keys(body).sort((a, b) => a.localeCompare(b)); | ||
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expect(actualRspDatafeedIds).to.have.length(expectedRspDatafeedIds.length); | ||
expect(actualRspDatafeedIds).to.eql(expectedRspDatafeedIds); | ||
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// check jobs are open | ||
for (const id of testData.jobIds) { | ||
await ml.api.waitForJobState(id, JOB_STATE.OPENED); | ||
} | ||
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// check datafeeds have started | ||
for (const id of testData.requestBody.datafeedIds) { | ||
await ml.api.waitForDatafeedState(id, DATAFEED_STATE.STARTED, 4 * 60 * 1000); | ||
} | ||
}); | ||
} | ||
}); | ||
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describe('succeeds with datafeed already started', function () { | ||
for (const testData of testDataList) { | ||
it(`${testData.testTitle}`, async () => { | ||
const body = await runStartDatafeedsRequest( | ||
testData.user, | ||
testData.requestBody, | ||
testData.expected.responseCode | ||
); | ||
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const expectedResponse = testData.expected.responseBody; | ||
const expectedRspDatafeedIds = Object.keys(expectedResponse).sort((a, b) => | ||
a.localeCompare(b) | ||
); | ||
const actualRspDatafeedIds = Object.keys(body).sort((a, b) => a.localeCompare(b)); | ||
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expect(actualRspDatafeedIds).to.have.length(expectedRspDatafeedIds.length); | ||
expect(actualRspDatafeedIds).to.eql(expectedRspDatafeedIds); | ||
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// check jobs are still open | ||
for (const id of testData.jobIds) { | ||
await ml.api.waitForJobState(id, JOB_STATE.OPENED); | ||
} | ||
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// check datafeeds are still started | ||
for (const id of testData.requestBody.datafeedIds) { | ||
await ml.api.waitForDatafeedState(id, DATAFEED_STATE.STARTED, 4 * 60 * 1000); | ||
} | ||
}); | ||
} | ||
}); | ||
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describe('returns expected response for invalid request', function () { | ||
for (const testData of invalidTestDataList) { | ||
it(`${testData.testTitle}`, async () => { | ||
const body = await runStartDatafeedsRequest( | ||
testData.user, | ||
testData.requestBody, | ||
testData.expected.responseCode | ||
); | ||
const expectedResponse = testData.expected.responseBody; | ||
const expectedRspDatafeedIds = Object.keys(expectedResponse).sort((a, b) => | ||
a.localeCompare(b) | ||
); | ||
const actualRspDatafeedIds = Object.keys(body).sort((a, b) => a.localeCompare(b)); | ||
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expect(actualRspDatafeedIds).to.have.length(expectedRspDatafeedIds.length); | ||
expect(actualRspDatafeedIds).to.eql(expectedRspDatafeedIds); | ||
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expectedRspDatafeedIds.forEach((id) => { | ||
expect(body[id].started).to.eql(expectedResponse[id].started); | ||
}); | ||
}); | ||
} | ||
}); | ||
}); | ||
}; |
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x-pack/test/api_integration/apis/ml/jobs/force_start_datafeeds_spaces.ts
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/* | ||
* Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one | ||
* or more contributor license agreements. Licensed under the Elastic License | ||
* 2.0; you may not use this file except in compliance with the Elastic License | ||
* 2.0. | ||
*/ | ||
|
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import expect from '@kbn/expect'; | ||
|
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import { FtrProviderContext } from '../../../ftr_provider_context'; | ||
import { COMMON_REQUEST_HEADERS } from '../../../../functional/services/ml/common_api'; | ||
import { USER } from '../../../../functional/services/ml/security_common'; | ||
import { DATAFEED_STATE } from '../../../../../plugins/ml/common/constants/states'; | ||
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export default ({ getService }: FtrProviderContext) => { | ||
const esArchiver = getService('esArchiver'); | ||
const ml = getService('ml'); | ||
const spacesService = getService('spaces'); | ||
const supertest = getService('supertestWithoutAuth'); | ||
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const idSpace1 = 'space1'; | ||
const idSpace2 = 'space2'; | ||
const jobIdSpace1 = `fq_single_${idSpace1}`; | ||
const jobIdSpace2 = `fq_single_${idSpace2}`; | ||
const datafeedIdSpace1 = `datafeed-${jobIdSpace1}`; | ||
const datafeedIdSpace2 = `datafeed-${jobIdSpace2}`; | ||
const startMs = 1454803200000; // Feb 7 2016 00:00 | ||
const endMs = 1455235200000; // Feb 12 2016 00:00 | ||
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async function runRequest( | ||
space: string, | ||
expectedStatusCode: number, | ||
datafeedIds: string[], | ||
start: number, | ||
end: number | ||
) { | ||
const { body } = await supertest | ||
.post(`/s/${space}/api/ml/jobs/force_start_datafeeds`) | ||
.auth( | ||
USER.ML_POWERUSER_ALL_SPACES, | ||
ml.securityCommon.getPasswordForUser(USER.ML_POWERUSER_ALL_SPACES) | ||
) | ||
.set(COMMON_REQUEST_HEADERS) | ||
.send({ datafeedIds, start, end }) | ||
.expect(expectedStatusCode); | ||
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return body; | ||
} | ||
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describe('force_start_datafeeds with spaces', function () { | ||
before(async () => { | ||
await spacesService.create({ id: idSpace1, name: 'space_one', disabledFeatures: [] }); | ||
await spacesService.create({ id: idSpace2, name: 'space_two', disabledFeatures: [] }); | ||
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await esArchiver.loadIfNeeded('x-pack/test/functional/es_archives/ml/farequote'); | ||
await ml.testResources.setKibanaTimeZoneToUTC(); | ||
}); | ||
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beforeEach(async () => { | ||
const jobConfigSpace1 = ml.commonConfig.getADFqSingleMetricJobConfig(jobIdSpace1); | ||
const datafeedConfigSpace1 = ml.commonConfig.getADFqDatafeedConfig(jobIdSpace1); | ||
await ml.api.createAnomalyDetectionJob(jobConfigSpace1, idSpace1); | ||
await ml.api.createDatafeed( | ||
{ | ||
...datafeedConfigSpace1, | ||
datafeed_id: datafeedIdSpace1, | ||
job_id: jobIdSpace1, | ||
}, | ||
idSpace1 | ||
); | ||
const jobConfigSpace2 = ml.commonConfig.getADFqSingleMetricJobConfig(jobIdSpace2); | ||
const datafeedConfigSpace2 = ml.commonConfig.getADFqDatafeedConfig(jobIdSpace2); | ||
await ml.api.createAnomalyDetectionJob(jobConfigSpace2, idSpace2); | ||
await ml.api.createDatafeed( | ||
{ | ||
...datafeedConfigSpace2, | ||
datafeed_id: datafeedIdSpace2, | ||
job_id: jobIdSpace2, | ||
}, | ||
idSpace2 | ||
); | ||
}); | ||
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afterEach(async () => { | ||
await ml.api.closeAnomalyDetectionJob(jobIdSpace1); | ||
await ml.api.closeAnomalyDetectionJob(jobIdSpace2); | ||
await ml.api.cleanMlIndices(); | ||
await ml.testResources.cleanMLSavedObjects(); | ||
}); | ||
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after(async () => { | ||
await spacesService.delete(idSpace1); | ||
await spacesService.delete(idSpace2); | ||
}); | ||
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it('should start single datafeed from same space', async () => { | ||
const body = await runRequest(idSpace1, 200, [datafeedIdSpace1], startMs, endMs); | ||
expect(body).to.eql({ [datafeedIdSpace1]: { started: true } }); | ||
await ml.api.waitForDatafeedState(datafeedIdSpace1, DATAFEED_STATE.STARTED, 4 * 60 * 1000); | ||
}); | ||
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it('should not start single datafeed from different space', async () => { | ||
const body = await runRequest(idSpace2, 200, [datafeedIdSpace1], startMs, endMs); | ||
expect(body).to.eql({ [datafeedIdSpace1]: { error: 'Job has no datafeed', started: false } }); | ||
await ml.api.waitForDatafeedState(datafeedIdSpace1, DATAFEED_STATE.STOPPED, 4 * 60 * 1000); | ||
}); | ||
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it('should only start datafeed from same space when called with a list of datafeeds', async () => { | ||
const body = await runRequest( | ||
idSpace1, | ||
200, | ||
[datafeedIdSpace1, datafeedIdSpace2], | ||
startMs, | ||
endMs | ||
); | ||
expect(body).to.eql({ | ||
[datafeedIdSpace1]: { started: true }, | ||
[datafeedIdSpace2]: { error: 'Job has no datafeed', started: false }, | ||
}); | ||
await ml.api.waitForDatafeedState(datafeedIdSpace1, DATAFEED_STATE.STARTED, 4 * 60 * 1000); | ||
await ml.api.waitForDatafeedState(datafeedIdSpace2, DATAFEED_STATE.STOPPED, 4 * 60 * 1000); | ||
}); | ||
}); | ||
}; |
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