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[ML] Categorization field example endpoint tests (elastic#57471)
* [ML] Categorization example endpoint tests * adding data * removing debug code * adding endpoint error test * updating version in archive
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x-pack/test/api_integration/apis/ml/categorization_field_examples.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; | ||
* you may not use this file except in compliance with the Elastic License. | ||
*/ | ||
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import expect from '@kbn/expect'; | ||
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import { FtrProviderContext } from '../../ftr_provider_context'; | ||
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const COMMON_HEADERS = { | ||
'kbn-xsrf': 'some-xsrf-token', | ||
}; | ||
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const start = 1554463535770; | ||
const end = 1574316073914; | ||
const analyzer = { | ||
tokenizer: 'ml_classic', | ||
filter: [ | ||
{ | ||
type: 'stop', | ||
stopwords: [ | ||
'Monday', | ||
'Tuesday', | ||
'Wednesday', | ||
'Thursday', | ||
'Friday', | ||
'Saturday', | ||
'Sunday', | ||
'Mon', | ||
'Tue', | ||
'Wed', | ||
'Thu', | ||
'Fri', | ||
'Sat', | ||
'Sun', | ||
'January', | ||
'February', | ||
'March', | ||
'April', | ||
'May', | ||
'June', | ||
'July', | ||
'August', | ||
'September', | ||
'October', | ||
'November', | ||
'December', | ||
'Jan', | ||
'Feb', | ||
'Mar', | ||
'Apr', | ||
'May', | ||
'Jun', | ||
'Jul', | ||
'Aug', | ||
'Sep', | ||
'Oct', | ||
'Nov', | ||
'Dec', | ||
'GMT', | ||
'UTC', | ||
], | ||
}, | ||
], | ||
}; | ||
const defaultRequestBody = { | ||
indexPatternTitle: 'categorization_functional_test', | ||
query: { bool: { must: [{ match_all: {} }] } }, | ||
size: 5, | ||
timeField: '@timestamp', | ||
start, | ||
end, | ||
analyzer, | ||
}; | ||
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const testDataList = [ | ||
{ | ||
title: 'valid with good number of tokens', | ||
requestBody: { | ||
...defaultRequestBody, | ||
field: 'field1', | ||
}, | ||
expected: { | ||
responseCode: 200, | ||
overallValidStatus: 'valid', | ||
sampleSize: 1000, | ||
exampleLength: 5, | ||
validationChecks: [ | ||
{ | ||
id: 0, | ||
valid: 'valid', | ||
message: '1000 field values analyzed, 95% contain 3 or more tokens.', | ||
}, | ||
], | ||
}, | ||
}, | ||
{ | ||
title: 'invalid, too many tokens.', | ||
requestBody: { | ||
...defaultRequestBody, | ||
field: 'field2', | ||
}, | ||
expected: { | ||
responseCode: 200, | ||
overallValidStatus: 'invalid', | ||
sampleSize: 500, | ||
exampleLength: 5, | ||
validationChecks: [ | ||
{ | ||
id: 1, | ||
valid: 'partially_valid', | ||
message: 'The median length for the field values analyzed is over 400 characters.', | ||
}, | ||
{ | ||
id: 4, | ||
valid: 'invalid', | ||
message: | ||
'Tokenization of field value examples has failed due to more than 10000 tokens being found in a sample of 50 values.', | ||
}, | ||
], | ||
}, | ||
}, | ||
{ | ||
title: 'partially valid, more than 75% are null', | ||
requestBody: { | ||
...defaultRequestBody, | ||
field: 'field3', | ||
}, | ||
expected: { | ||
responseCode: 200, | ||
overallValidStatus: 'partially_valid', | ||
sampleSize: 250, | ||
exampleLength: 5, | ||
validationChecks: [ | ||
{ | ||
id: 0, | ||
valid: 'valid', | ||
message: '250 field values analyzed, 95% contain 3 or more tokens.', | ||
}, | ||
{ | ||
id: 2, | ||
valid: 'partially_valid', | ||
message: 'More than 75% of field values are null.', | ||
}, | ||
], | ||
}, | ||
}, | ||
{ | ||
title: 'partially valid, median length is over 400 characters', | ||
requestBody: { | ||
...defaultRequestBody, | ||
field: 'field4', | ||
}, | ||
expected: { | ||
responseCode: 200, | ||
overallValidStatus: 'partially_valid', | ||
sampleSize: 500, | ||
exampleLength: 5, | ||
validationChecks: [ | ||
{ | ||
id: 0, | ||
valid: 'valid', | ||
message: '500 field values analyzed, 100% contain 3 or more tokens.', | ||
}, | ||
{ | ||
id: 1, | ||
valid: 'partially_valid', | ||
message: 'The median length for the field values analyzed is over 400 characters.', | ||
}, | ||
], | ||
}, | ||
}, | ||
{ | ||
title: 'invalid, no values in any doc', | ||
requestBody: { | ||
...defaultRequestBody, | ||
field: 'field5', | ||
}, | ||
expected: { | ||
responseCode: 200, | ||
overallValidStatus: 'invalid', | ||
sampleSize: 0, | ||
exampleLength: 0, | ||
validationChecks: [ | ||
{ | ||
id: 3, | ||
valid: 'invalid', | ||
message: | ||
'No examples for this field could be found. Please ensure the selected date range contains data.', | ||
}, | ||
], | ||
}, | ||
}, | ||
{ | ||
title: 'invalid, mostly made up of stop words, so no matched tokens', | ||
requestBody: { | ||
...defaultRequestBody, | ||
field: 'field6', | ||
}, | ||
expected: { | ||
responseCode: 200, | ||
overallValidStatus: 'invalid', | ||
sampleSize: 1000, | ||
exampleLength: 5, | ||
validationChecks: [ | ||
{ | ||
id: 0, | ||
valid: 'invalid', | ||
message: '1000 field values analyzed, 0% contain 3 or more tokens.', | ||
}, | ||
], | ||
}, | ||
}, | ||
{ | ||
title: 'valid, mostly made up of stop words, but analyser has no stop words. so it is ok.', | ||
requestBody: { | ||
...defaultRequestBody, | ||
field: 'field6', | ||
analyzer: { | ||
tokenizer: 'ml_classic', | ||
}, | ||
}, | ||
expected: { | ||
responseCode: 200, | ||
overallValidStatus: 'valid', | ||
sampleSize: 1000, | ||
exampleLength: 5, | ||
validationChecks: [ | ||
{ | ||
id: 0, | ||
valid: 'valid', | ||
message: '1000 field values analyzed, 100% contain 3 or more tokens.', | ||
}, | ||
], | ||
}, | ||
}, | ||
{ | ||
title: 'partially valid, half the docs are stop words.', | ||
requestBody: { | ||
...defaultRequestBody, | ||
field: 'field7', | ||
}, | ||
expected: { | ||
responseCode: 200, | ||
overallValidStatus: 'partially_valid', | ||
sampleSize: 1000, | ||
exampleLength: 5, | ||
validationChecks: [ | ||
{ | ||
id: 0, | ||
valid: 'partially_valid', | ||
message: '1000 field values analyzed, 50% contain 3 or more tokens.', | ||
}, | ||
], | ||
}, | ||
}, | ||
{ | ||
title: "endpoint error, index doesn't exist", | ||
requestBody: { | ||
...defaultRequestBody, | ||
indexPatternTitle: 'does_not_exist', | ||
field: 'field1', | ||
}, | ||
expected: { | ||
responseCode: 404, | ||
overallValidStatus: undefined, | ||
sampleSize: undefined, | ||
validationChecks: undefined, | ||
}, | ||
}, | ||
]; | ||
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// eslint-disable-next-line import/no-default-export | ||
export default ({ getService }: FtrProviderContext) => { | ||
const esArchiver = getService('esArchiver'); | ||
const supertest = getService('supertest'); | ||
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describe('Categorization example endpoint - ', function() { | ||
before(async () => { | ||
await esArchiver.load('ml/categorization'); | ||
}); | ||
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after(async () => { | ||
await esArchiver.unload('ml/categorization'); | ||
}); | ||
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for (const testData of testDataList) { | ||
it(testData.title, async () => { | ||
const { body } = await supertest | ||
.post('/api/ml/jobs/categorization_field_examples') | ||
.set(COMMON_HEADERS) | ||
.send(testData.requestBody) | ||
.expect(testData.expected.responseCode); | ||
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expect(body.overallValidStatus).to.eql(testData.expected.overallValidStatus); | ||
expect(body.sampleSize).to.eql(testData.expected.sampleSize); | ||
expect(body.validationChecks).to.eql(testData.expected.validationChecks); | ||
if (body.statusCode === 200) { | ||
expect(body.examples.length).to.eql(testData.expected.exampleLength); | ||
} | ||
}); | ||
} | ||
}); | ||
}; |
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