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[ML] AIOps: Move log pattern analysis fetch code to
common
to be av…
…ailable via `server` (#167465) Follow up to #167237. Part of #167467. We plan to reuse some of the queries log pattern analysis does to use via log rate analysis too. Log pattern analysis mostly does queries from the client side, late rate analysis has its own API endpoint and does ES queries via Kibana server. In preparation for the use via log rate analysis, this moves the code we need to have available server side for log rate analysis to the `common` area of the plugin so it can be used both on server/client.
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48 changes: 48 additions & 0 deletions
48
x-pack/plugins/aiops/common/api/log_categorization/create_categorize_query.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 { cloneDeep } from 'lodash'; | ||
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import type { QueryDslQueryContainer } from '@elastic/elasticsearch/lib/api/types'; | ||
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export function createCategorizeQuery( | ||
queryIn: QueryDslQueryContainer, | ||
timeField: string, | ||
from: number | undefined, | ||
to: number | undefined | ||
) { | ||
const query = cloneDeep(queryIn); | ||
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if (query.bool === undefined) { | ||
query.bool = {}; | ||
} | ||
if (query.bool.must === undefined) { | ||
query.bool.must = []; | ||
if (query.match_all !== undefined) { | ||
query.bool.must.push({ match_all: query.match_all }); | ||
delete query.match_all; | ||
} | ||
} | ||
if (query.multi_match !== undefined) { | ||
query.bool.should = { | ||
multi_match: query.multi_match, | ||
}; | ||
delete query.multi_match; | ||
} | ||
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(query.bool.must as QueryDslQueryContainer[]).push({ | ||
range: { | ||
[timeField]: { | ||
gte: from, | ||
lte: to, | ||
format: 'epoch_millis', | ||
}, | ||
}, | ||
}); | ||
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return query; | ||
} |
66 changes: 66 additions & 0 deletions
66
x-pack/plugins/aiops/common/api/log_categorization/create_category_request.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 type { QueryDslQueryContainer } from '@elastic/elasticsearch/lib/api/types'; | ||
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import { createRandomSamplerWrapper } from '@kbn/ml-random-sampler-utils'; | ||
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import { createCategorizeQuery } from './create_categorize_query'; | ||
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const CATEGORY_LIMIT = 1000; | ||
const EXAMPLE_LIMIT = 1; | ||
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export function createCategoryRequest( | ||
index: string, | ||
field: string, | ||
timeField: string, | ||
from: number | undefined, | ||
to: number | undefined, | ||
queryIn: QueryDslQueryContainer, | ||
wrap: ReturnType<typeof createRandomSamplerWrapper>['wrap'], | ||
intervalMs?: number | ||
) { | ||
const query = createCategorizeQuery(queryIn, timeField, from, to); | ||
const aggs = { | ||
categories: { | ||
categorize_text: { | ||
field, | ||
size: CATEGORY_LIMIT, | ||
}, | ||
aggs: { | ||
hit: { | ||
top_hits: { | ||
size: EXAMPLE_LIMIT, | ||
sort: [timeField], | ||
_source: field, | ||
}, | ||
}, | ||
...(intervalMs | ||
? { | ||
sparkline: { | ||
date_histogram: { | ||
field: timeField, | ||
fixed_interval: `${intervalMs}ms`, | ||
}, | ||
}, | ||
} | ||
: {}), | ||
}, | ||
}, | ||
}; | ||
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return { | ||
params: { | ||
index, | ||
size: 0, | ||
body: { | ||
query, | ||
aggs: wrap(aggs), | ||
}, | ||
}, | ||
}; | ||
} |
33 changes: 33 additions & 0 deletions
33
x-pack/plugins/aiops/common/api/log_categorization/get_category_query.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 type { Category } from './types'; | ||
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export const QUERY_MODE = { | ||
INCLUDE: 'should', | ||
EXCLUDE: 'must_not', | ||
} as const; | ||
export type QueryMode = typeof QUERY_MODE[keyof typeof QUERY_MODE]; | ||
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export const getCategoryQuery = ( | ||
field: string, | ||
categories: Category[], | ||
mode: QueryMode = QUERY_MODE.INCLUDE | ||
) => ({ | ||
bool: { | ||
[mode]: categories.map(({ key: query }) => ({ | ||
match: { | ||
[field]: { | ||
auto_generate_synonyms_phrase_query: false, | ||
fuzziness: 0, | ||
operator: 'and', | ||
query, | ||
}, | ||
}, | ||
})), | ||
}, | ||
}); |
51 changes: 51 additions & 0 deletions
51
x-pack/plugins/aiops/common/api/log_categorization/process_category_results.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 { get } from 'lodash'; | ||
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import { estypes } from '@elastic/elasticsearch'; | ||
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import { createRandomSamplerWrapper } from '@kbn/ml-random-sampler-utils'; | ||
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import type { Category, CategoriesAgg, CatResponse, SparkLinesPerCategory } from './types'; | ||
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export function processCategoryResults( | ||
result: CatResponse, | ||
field: string, | ||
unwrap: ReturnType<typeof createRandomSamplerWrapper>['unwrap'] | ||
) { | ||
const sparkLinesPerCategory: SparkLinesPerCategory = {}; | ||
const { aggregations } = result.rawResponse; | ||
if (aggregations === undefined) { | ||
throw new Error('processCategoryResults failed, did not return aggregations.'); | ||
} | ||
const { | ||
categories: { buckets }, | ||
} = unwrap( | ||
aggregations as unknown as Record<string, estypes.AggregationsAggregate> | ||
) as CategoriesAgg; | ||
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const categories: Category[] = buckets.map((b) => { | ||
sparkLinesPerCategory[b.key] = | ||
b.sparkline === undefined | ||
? {} | ||
: b.sparkline.buckets.reduce<Record<number, number>>((acc2, cur2) => { | ||
acc2[cur2.key] = cur2.doc_count; | ||
return acc2; | ||
}, {}); | ||
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return { | ||
key: b.key, | ||
count: b.doc_count, | ||
examples: b.hit.hits.hits.map((h) => get(h._source, field)), | ||
}; | ||
}); | ||
return { | ||
categories, | ||
sparkLinesPerCategory, | ||
}; | ||
} |
38 changes: 38 additions & 0 deletions
38
x-pack/plugins/aiops/common/api/log_categorization/types.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 { estypes } from '@elastic/elasticsearch'; | ||
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export interface Category { | ||
key: string; | ||
count: number; | ||
examples: string[]; | ||
sparkline?: Array<{ doc_count: number; key: number; key_as_string: string }>; | ||
} | ||
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export interface CategoriesAgg { | ||
categories: { | ||
buckets: Array<{ | ||
key: string; | ||
doc_count: number; | ||
hit: { hits: { hits: Array<{ _source: { message: string } }> } }; | ||
sparkline: { | ||
buckets: Array<{ key_as_string: string; key: number; doc_count: number }>; | ||
}; | ||
}>; | ||
}; | ||
} | ||
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interface CategoriesSampleAgg { | ||
sample: CategoriesAgg; | ||
} | ||
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export interface CatResponse { | ||
rawResponse: estypes.SearchResponseBody<unknown, CategoriesAgg | CategoriesSampleAgg>; | ||
} | ||
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export type SparkLinesPerCategory = Record<string, Record<number, number>>; |
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