diff --git a/x-pack/plugins/integration_assistant/__jest__/fixtures/categorization.ts b/x-pack/plugins/integration_assistant/__jest__/fixtures/categorization.ts index 80366e7bd6f93..6867417bac0e2 100644 --- a/x-pack/plugins/integration_assistant/__jest__/fixtures/categorization.ts +++ b/x-pack/plugins/integration_assistant/__jest__/fixtures/categorization.ts @@ -162,7 +162,6 @@ export const testPipelineInvalidEcs: { pipelineResults: object[]; errors: object export const categorizationTestState = { rawSamples: ['{"test1": "test1"}'], samples: ['{ "test1": "test1" }'], - formattedSamples: '{"test1": "test1"}', ecsTypes: 'testtypes', ecsCategories: 'testcategories', exAnswer: 'testanswer', @@ -173,9 +172,8 @@ export const categorizationTestState = { previousError: 'testprevious', previousInvalidCategorization: 'testinvalid', pipelineResults: [{ test: 'testresult' }], - finalized: false, - hasTriedOnce: false, - reviewed: false, + previousPipelineResults: [{ test: 'testresult' }], + lastReviewedSamples: [], currentPipeline: { test: 'testpipeline' }, currentProcessors: [ { @@ -193,6 +191,9 @@ export const categorizationTestState = { initialPipeline: categorizationInitialPipeline, results: { test: 'testresults' }, samplesFormat: { name: SamplesFormatName.Values.json }, + stableSamples: [], + reviewCount: 0, + finalized: false, }; export const categorizationMockProcessors = [ diff --git a/x-pack/plugins/integration_assistant/__jest__/fixtures/related.ts b/x-pack/plugins/integration_assistant/__jest__/fixtures/related.ts index d96d845ae43b6..03ca8253768ff 100644 --- a/x-pack/plugins/integration_assistant/__jest__/fixtures/related.ts +++ b/x-pack/plugins/integration_assistant/__jest__/fixtures/related.ts @@ -140,7 +140,6 @@ export const testPipelineValidResult: { pipelineResults: object[]; errors: objec export const relatedTestState = { rawSamples: ['{"test1": "test1"}'], samples: ['{ "test1": "test1" }'], - formattedSamples: '{"test1": "test1"}', ecs: 'testtypes', exAnswer: 'testanswer', packageName: 'testpackage', diff --git a/x-pack/plugins/integration_assistant/common/constants.ts b/x-pack/plugins/integration_assistant/common/constants.ts index d652f661f10bb..4d791341e34f9 100644 --- a/x-pack/plugins/integration_assistant/common/constants.ts +++ b/x-pack/plugins/integration_assistant/common/constants.ts @@ -36,3 +36,11 @@ export enum GenerationErrorCode { UNSUPPORTED_LOG_SAMPLES_FORMAT = 'unsupported-log-samples-format', UNPARSEABLE_CSV_DATA = 'unparseable-csv-data', } + +// Size limits +export const FRONTEND_SAMPLE_ROWS = 100; +export const LOG_FORMAT_DETECTION_SAMPLE_ROWS = 5; +export const CATEGORIZATION_INITIAL_BATCH_SIZE = 60; +export const CATEROGIZATION_REVIEW_BATCH_SIZE = 40; +export const CATEGORIZATION_REVIEW_MAX_CYCLES = 5; +export const CATEGORIZATION_RECURSION_LIMIT = 50; diff --git a/x-pack/plugins/integration_assistant/common/index.ts b/x-pack/plugins/integration_assistant/common/index.ts index b16254f9e11e2..0b13f7f692695 100644 --- a/x-pack/plugins/integration_assistant/common/index.ts +++ b/x-pack/plugins/integration_assistant/common/index.ts @@ -21,6 +21,8 @@ export { } from './api/analyze_logs/analyze_logs_route.gen'; export { CelInputRequestBody, CelInputResponse } from './api/cel/cel_input_route.gen'; +export { partialShuffleArray } from './utils'; + export type { DataStream, InputType, diff --git a/x-pack/plugins/integration_assistant/public/components/create_integration/create_integration_assistant/steps/data_stream_step/utils.test.tsx b/x-pack/plugins/integration_assistant/common/utils.test.ts similarity index 100% rename from x-pack/plugins/integration_assistant/public/components/create_integration/create_integration_assistant/steps/data_stream_step/utils.test.tsx rename to x-pack/plugins/integration_assistant/common/utils.test.ts diff --git a/x-pack/plugins/integration_assistant/public/components/create_integration/create_integration_assistant/steps/data_stream_step/utils.tsx b/x-pack/plugins/integration_assistant/common/utils.ts similarity index 100% rename from x-pack/plugins/integration_assistant/public/components/create_integration/create_integration_assistant/steps/data_stream_step/utils.tsx rename to x-pack/plugins/integration_assistant/common/utils.ts diff --git a/x-pack/plugins/integration_assistant/public/components/create_integration/create_integration_assistant/steps/data_stream_step/sample_logs_input.test.tsx b/x-pack/plugins/integration_assistant/public/components/create_integration/create_integration_assistant/steps/data_stream_step/sample_logs_input.test.tsx index 6d8ad5eaf6d5c..8932ff5cfee5b 100644 --- a/x-pack/plugins/integration_assistant/public/components/create_integration/create_integration_assistant/steps/data_stream_step/sample_logs_input.test.tsx +++ b/x-pack/plugins/integration_assistant/public/components/create_integration/create_integration_assistant/steps/data_stream_step/sample_logs_input.test.tsx @@ -11,7 +11,6 @@ import { TestProvider } from '../../../../../mocks/test_provider'; import { parseNDJSON, parseJSONArray, SampleLogsInput } from './sample_logs_input'; import { ActionsProvider } from '../../state'; import { mockActions } from '../../mocks/state'; -import { mockServices } from '../../../../../services/mocks/services'; const wrapper: React.FC> = ({ children }) => ( @@ -165,25 +164,6 @@ describe('SampleLogsInput', () => { samplesFormat: { name: 'json', json_path: [] }, }); }); - - describe('when the file has too many rows', () => { - const tooLargeLogsSample = Array(6).fill(logsSampleRaw).join(','); // 12 entries - beforeEach(async () => { - await changeFile(input, new File([`[${tooLargeLogsSample}]`], 'test.json', { type })); - }); - - it('should truncate the logs sample', () => { - expect(mockActions.setIntegrationSettings).toBeCalledWith({ - logSamples: tooLargeLogsSample.split(',').slice(0, 2), - samplesFormat: { name: 'json', json_path: [] }, - }); - }); - it('should add a notification toast', () => { - expect(mockServices.notifications.toasts.addInfo).toBeCalledWith( - `The logs sample has been truncated to 10 rows.` - ); - }); - }); }); describe('when the file is a json array under a key', () => { @@ -236,25 +216,6 @@ describe('SampleLogsInput', () => { samplesFormat: { name: 'ndjson', multiline: false }, }); }); - - describe('when the file has too many rows', () => { - const tooLargeLogsSample = Array(6).fill(simpleNDJSON).join('\n'); // 12 entries - beforeEach(async () => { - await changeFile(input, new File([tooLargeLogsSample], 'test.json', { type })); - }); - - it('should truncate the logs sample', () => { - expect(mockActions.setIntegrationSettings).toBeCalledWith({ - logSamples: tooLargeLogsSample.split('\n').slice(0, 2), - samplesFormat: { name: 'ndjson', multiline: false }, - }); - }); - it('should add a notification toast', () => { - expect(mockServices.notifications.toasts.addInfo).toBeCalledWith( - `The logs sample has been truncated to 10 rows.` - ); - }); - }); }); describe('when the file is a an ndjson with a single record', () => { diff --git a/x-pack/plugins/integration_assistant/public/components/create_integration/create_integration_assistant/steps/data_stream_step/sample_logs_input.tsx b/x-pack/plugins/integration_assistant/public/components/create_integration/create_integration_assistant/steps/data_stream_step/sample_logs_input.tsx index 5e33406ee5ea3..800be4cb89e5a 100644 --- a/x-pack/plugins/integration_assistant/public/components/create_integration/create_integration_assistant/steps/data_stream_step/sample_logs_input.tsx +++ b/x-pack/plugins/integration_assistant/public/components/create_integration/create_integration_assistant/steps/data_stream_step/sample_logs_input.tsx @@ -8,14 +8,12 @@ import React, { useCallback, useState } from 'react'; import { EuiCallOut, EuiFilePicker, EuiFormRow, EuiSpacer, EuiText } from '@elastic/eui'; import { isPlainObject } from 'lodash/fp'; -import { useKibana } from '@kbn/kibana-react-plugin/public'; import type { IntegrationSettings } from '../../types'; import * as i18n from './translations'; import { useActions } from '../../state'; import type { SamplesFormat } from '../../../../../../common'; -import { partialShuffleArray } from './utils'; - -const MaxLogsSampleRows = 10; +import { partialShuffleArray } from '../../../../../../common'; +import { FRONTEND_SAMPLE_ROWS } from '../../../../../../common/constants'; /** * Parse the logs sample file content as newiline-delimited JSON (NDJSON). @@ -83,8 +81,8 @@ export const parseJSONArray = ( * @returns Whether the array was truncated. */ function trimShuffleLogsSample(array: T[]): boolean { - const willTruncate = array.length > MaxLogsSampleRows; - const numElements = willTruncate ? MaxLogsSampleRows : array.length; + const willTruncate = array.length > FRONTEND_SAMPLE_ROWS; + const numElements = willTruncate ? FRONTEND_SAMPLE_ROWS : array.length; partialShuffleArray(array, 1, numElements); @@ -215,7 +213,6 @@ interface SampleLogsInputProps { } export const SampleLogsInput = React.memo(({ integrationSettings }) => { - const { notifications } = useKibana().services; const { setIntegrationSettings } = useActions(); const [isParsing, setIsParsing] = useState(false); const [sampleFileError, setSampleFileError] = useState(); @@ -266,11 +263,7 @@ export const SampleLogsInput = React.memo(({ integrationSe return; } - const { samplesFormat, logSamples, isTruncated } = prepareResult; - - if (isTruncated) { - notifications?.toasts.addInfo(i18n.LOGS_SAMPLE_TRUNCATED(MaxLogsSampleRows)); - } + const { samplesFormat, logSamples } = prepareResult; setIntegrationSettings({ ...integrationSettings, @@ -293,7 +286,7 @@ export const SampleLogsInput = React.memo(({ integrationSe reader.readAsText(logsSampleFile); }, - [integrationSettings, setIntegrationSettings, notifications?.toasts, setIsParsing] + [integrationSettings, setIntegrationSettings, setIsParsing] ); return ( - i18n.translate('xpack.integrationAssistant.step.dataStream.logsSample.truncatedWarning', { - values: { maxRows }, - defaultMessage: `The logs sample has been truncated to {maxRows} rows.`, - }); export const LOGS_SAMPLE_ERROR = { CAN_NOT_READ: i18n.translate( 'xpack.integrationAssistant.step.dataStream.logsSample.errorCanNotRead', diff --git a/x-pack/plugins/integration_assistant/server/graphs/categorization/categorization.ts b/x-pack/plugins/integration_assistant/server/graphs/categorization/categorization.ts index 5dcc55d4f0975..515a7a6b6933a 100644 --- a/x-pack/plugins/integration_assistant/server/graphs/categorization/categorization.ts +++ b/x-pack/plugins/integration_assistant/server/graphs/categorization/categorization.ts @@ -11,6 +11,8 @@ import { combineProcessors } from '../../util/processors'; import { CATEGORIZATION_EXAMPLE_PROCESSORS } from './constants'; import { CATEGORIZATION_MAIN_PROMPT } from './prompts'; import type { CategorizationNodeParams } from './types'; +import { selectResults } from './util'; +import { CATEGORIZATION_INITIAL_BATCH_SIZE } from '../../../common/constants'; export async function handleCategorization({ state, @@ -19,8 +21,15 @@ export async function handleCategorization({ const categorizationMainPrompt = CATEGORIZATION_MAIN_PROMPT; const outputParser = new JsonOutputParser(); const categorizationMainGraph = categorizationMainPrompt.pipe(model).pipe(outputParser); + + const [pipelineResults, _] = selectResults( + state.pipelineResults, + CATEGORIZATION_INITIAL_BATCH_SIZE, + new Set(state.stableSamples) + ); + const currentProcessors = (await categorizationMainGraph.invoke({ - pipeline_results: JSON.stringify(state.pipelineResults, null, 2), + pipeline_results: JSON.stringify(pipelineResults, null, 2), example_processors: CATEGORIZATION_EXAMPLE_PROCESSORS, ex_answer: state?.exAnswer, ecs_categories: state?.ecsCategories, @@ -36,7 +45,7 @@ export async function handleCategorization({ return { currentPipeline, currentProcessors, - hasTriedOnce: true, + lastReviewedSamples: [], lastExecutedChain: 'categorization', }; } diff --git a/x-pack/plugins/integration_assistant/server/graphs/categorization/constants.ts b/x-pack/plugins/integration_assistant/server/graphs/categorization/constants.ts index 11b510bb09a93..c425dcee24eab 100644 --- a/x-pack/plugins/integration_assistant/server/graphs/categorization/constants.ts +++ b/x-pack/plugins/integration_assistant/server/graphs/categorization/constants.ts @@ -4,6 +4,7 @@ * 2.0; you may not use this file except in compliance with the Elastic License * 2.0. */ + export const ECS_CATEGORIES = { api: 'Covers events from API calls, including those from OS and network protocols. Allowed event.type combinations: access, admin, allowed, change, creation, deletion, denied, end, info, start, user', authentication: diff --git a/x-pack/plugins/integration_assistant/server/graphs/categorization/errors.ts b/x-pack/plugins/integration_assistant/server/graphs/categorization/errors.ts index 789673af0ff28..ee6a26d436f96 100644 --- a/x-pack/plugins/integration_assistant/server/graphs/categorization/errors.ts +++ b/x-pack/plugins/integration_assistant/server/graphs/categorization/errors.ts @@ -39,7 +39,6 @@ export async function handleErrors({ return { currentPipeline, currentProcessors, - reviewed: false, lastExecutedChain: 'error', }; } diff --git a/x-pack/plugins/integration_assistant/server/graphs/categorization/graph.test.ts b/x-pack/plugins/integration_assistant/server/graphs/categorization/graph.test.ts index 8db8a8019a1ed..bf2d6dba6165e 100644 --- a/x-pack/plugins/integration_assistant/server/graphs/categorization/graph.test.ts +++ b/x-pack/plugins/integration_assistant/server/graphs/categorization/graph.test.ts @@ -25,6 +25,7 @@ import { handleReview } from './review'; import { handleCategorization } from './categorization'; import { handleErrors } from './errors'; import { handleInvalidCategorization } from './invalid'; +import { handleUpdateStableSamples } from './stable'; import { testPipeline, combineProcessors } from '../../util'; import { ActionsClientChatOpenAI, @@ -39,6 +40,7 @@ jest.mock('./errors'); jest.mock('./review'); jest.mock('./categorization'); jest.mock('./invalid'); +jest.mock('./stable'); jest.mock('../../util/pipeline', () => ({ testPipeline: jest.fn(), @@ -74,7 +76,8 @@ describe('runCategorizationGraph', () => { return { currentPipeline, currentProcessors, - reviewed: false, + stableSamples: [], + reviewCount: 0, finalized: false, lastExecutedChain: 'categorization', }; @@ -90,7 +93,8 @@ describe('runCategorizationGraph', () => { return { currentPipeline, currentProcessors, - reviewed: false, + stableSamples: [], + reviewCount: 0, finalized: false, lastExecutedChain: 'error', }; @@ -106,7 +110,8 @@ describe('runCategorizationGraph', () => { return { currentPipeline, currentProcessors, - reviewed: false, + stableSamples: [], + reviewCount: 0, finalized: false, lastExecutedChain: 'invalidCategorization', }; @@ -122,11 +127,29 @@ describe('runCategorizationGraph', () => { return { currentProcessors, currentPipeline, - reviewed: true, + stableSamples: [], + reviewCount: 0, finalized: false, lastExecutedChain: 'review', }; }); + // After the review it should route to modelOutput and finish. + (handleUpdateStableSamples as jest.Mock) + .mockResolvedValueOnce({ + stableSamples: [], + finalized: false, + lastExecutedChain: 'handleUpdateStableSamples', + }) + .mockResolvedValueOnce({ + stableSamples: [], + finalized: false, + lastExecutedChain: 'handleUpdateStableSamples', + }) + .mockResolvedValueOnce({ + stableSamples: [0], + finalized: false, + lastExecutedChain: 'handleUpdateStableSamples', + }); }); it('Ensures that the graph compiles', async () => { diff --git a/x-pack/plugins/integration_assistant/server/graphs/categorization/graph.ts b/x-pack/plugins/integration_assistant/server/graphs/categorization/graph.ts index 227bcd6939b94..2f07bcd106862 100644 --- a/x-pack/plugins/integration_assistant/server/graphs/categorization/graph.ts +++ b/x-pack/plugins/integration_assistant/server/graphs/categorization/graph.ts @@ -10,7 +10,7 @@ import { StateGraph, END, START } from '@langchain/langgraph'; import { SamplesFormat } from '../../../common'; import type { CategorizationState } from '../../types'; import { handleValidatePipeline } from '../../util/graph'; -import { formatSamples, prefixSamples } from '../../util/samples'; +import { prefixSamples } from '../../util/samples'; import { handleCategorization } from './categorization'; import { CATEGORIZATION_EXAMPLE_ANSWER, ECS_CATEGORIES, ECS_TYPES } from './constants'; import { handleErrors } from './errors'; @@ -18,6 +18,8 @@ import { handleInvalidCategorization } from './invalid'; import { handleReview } from './review'; import type { CategorizationBaseNodeParams, CategorizationGraphParams } from './types'; import { handleCategorizationValidation } from './validate'; +import { handleUpdateStableSamples } from './stable'; +import { CATEGORIZATION_REVIEW_MAX_CYCLES } from '../../../common/constants'; const graphState: StateGraphArgs['channels'] = { lastExecutedChain: { @@ -32,10 +34,6 @@ const graphState: StateGraphArgs['channels'] = { value: (x: string[], y?: string[]) => y ?? x, default: () => [], }, - formattedSamples: { - value: (x: string, y?: string) => y ?? x, - default: () => '', - }, ecsTypes: { value: (x: string, y?: string) => y ?? x, default: () => '', @@ -60,13 +58,13 @@ const graphState: StateGraphArgs['channels'] = { value: (x: boolean, y?: boolean) => y ?? x, default: () => false, }, - reviewed: { - value: (x: boolean, y?: boolean) => y ?? x, - default: () => false, + stableSamples: { + value: (x: number[], y: number[]) => y ?? x, + default: () => [], }, - hasTriedOnce: { - value: (x: boolean, y?: boolean) => y ?? x, - default: () => false, + reviewCount: { + value: (x: number, y: number) => y ?? x, + default: () => 0, }, errors: { value: (x: object, y?: object) => y ?? x, @@ -80,6 +78,14 @@ const graphState: StateGraphArgs['channels'] = { value: (x: object[], y?: object[]) => y ?? x, default: () => [{}], }, + previousPipelineResults: { + value: (x: object[], y?: object[]) => y ?? x, + default: () => [{}], + }, + lastReviewedSamples: { + value: (x: number[], y: number[]) => y ?? x, + default: () => [], + }, currentPipeline: { value: (x: object, y?: object) => y ?? x, default: () => ({}), @@ -110,33 +116,22 @@ const graphState: StateGraphArgs['channels'] = { }, }; -function modelJSONInput({ state }: CategorizationBaseNodeParams): Partial { - const samples = prefixSamples(state); - const formattedSamples = formatSamples(samples); - const initialPipeline = JSON.parse(JSON.stringify(state.currentPipeline)); - return { - exAnswer: JSON.stringify(CATEGORIZATION_EXAMPLE_ANSWER, null, 2), - ecsCategories: JSON.stringify(ECS_CATEGORIES, null, 2), - ecsTypes: JSON.stringify(ECS_TYPES, null, 2), - samples, - formattedSamples, - initialPipeline, - finalized: false, - reviewed: false, - lastExecutedChain: 'modelJSONInput', - }; -} - function modelInput({ state }: CategorizationBaseNodeParams): Partial { + let samples: string[]; + if (state.samplesFormat.name === 'json' || state.samplesFormat.name === 'ndjson') { + samples = prefixSamples(state); + } else { + samples = state.rawSamples; + } + const initialPipeline = JSON.parse(JSON.stringify(state.currentPipeline)); return { exAnswer: JSON.stringify(CATEGORIZATION_EXAMPLE_ANSWER, null, 2), ecsCategories: JSON.stringify(ECS_CATEGORIES, null, 2), ecsTypes: JSON.stringify(ECS_TYPES, null, 2), - samples: state.rawSamples, + samples, initialPipeline, - finalized: false, - reviewed: false, + stableSamples: [], lastExecutedChain: 'modelInput', }; } @@ -152,16 +147,9 @@ function modelOutput({ state }: CategorizationBaseNodeParams): Partial 0) { return 'errors'; } + if (Object.keys(state.invalidCategorization).length > 0) { return 'invalidCategorization'; } - if (!state.reviewed) { + + if ( + state.stableSamples.length < state.pipelineResults.length && + state.reviewCount < CATEGORIZATION_REVIEW_MAX_CYCLES + ) { return 'review'; } - if (!state.finalized) { - return 'modelOutput'; - } - return END; + return 'modelOutput'; } export async function getCategorizationGraph({ client, model }: CategorizationGraphParams) { @@ -196,7 +187,6 @@ export async function getCategorizationGraph({ client, model }: CategorizationGr channels: graphState, }) .addNode('modelInput', (state: CategorizationState) => modelInput({ state })) - .addNode('modelJSONInput', (state: CategorizationState) => modelJSONInput({ state })) .addNode('modelOutput', (state: CategorizationState) => modelOutput({ state })) .addNode('handleCategorization', (state: CategorizationState) => handleCategorization({ state, model }) @@ -204,6 +194,9 @@ export async function getCategorizationGraph({ client, model }: CategorizationGr .addNode('handleValidatePipeline', (state: CategorizationState) => handleValidatePipeline({ state, client }) ) + .addNode('handleUpdateStableSamples', (state: CategorizationState) => + handleUpdateStableSamples({ state }) + ) .addNode('handleCategorizationValidation', (state: CategorizationState) => handleCategorizationValidation({ state }) ) @@ -212,19 +205,16 @@ export async function getCategorizationGraph({ client, model }: CategorizationGr ) .addNode('handleErrors', (state: CategorizationState) => handleErrors({ state, model })) .addNode('handleReview', (state: CategorizationState) => handleReview({ state, model })) - .addConditionalEdges(START, (state: CategorizationState) => modelRouter({ state }), { - modelJSONInput: 'modelJSONInput', - modelInput: 'modelInput', // For Non JSON input samples - }) + .addEdge(START, 'modelInput') .addEdge('modelOutput', END) - .addEdge('modelJSONInput', 'handleValidatePipeline') .addEdge('modelInput', 'handleValidatePipeline') .addEdge('handleCategorization', 'handleValidatePipeline') .addEdge('handleInvalidCategorization', 'handleValidatePipeline') .addEdge('handleErrors', 'handleValidatePipeline') .addEdge('handleReview', 'handleValidatePipeline') + .addEdge('handleValidatePipeline', 'handleUpdateStableSamples') .addConditionalEdges( - 'handleValidatePipeline', + 'handleUpdateStableSamples', (state: CategorizationState) => validationRouter({ state }), { modelOutput: 'modelOutput', diff --git a/x-pack/plugins/integration_assistant/server/graphs/categorization/invalid.ts b/x-pack/plugins/integration_assistant/server/graphs/categorization/invalid.ts index 62f7f3101ba9a..18c3f87a55814 100644 --- a/x-pack/plugins/integration_assistant/server/graphs/categorization/invalid.ts +++ b/x-pack/plugins/integration_assistant/server/graphs/categorization/invalid.ts @@ -39,7 +39,6 @@ export async function handleInvalidCategorization({ return { currentPipeline, currentProcessors, - reviewed: false, lastExecutedChain: 'invalidCategorization', }; } diff --git a/x-pack/plugins/integration_assistant/server/graphs/categorization/review.ts b/x-pack/plugins/integration_assistant/server/graphs/categorization/review.ts index 19b8180ce33e5..9a842b2b83107 100644 --- a/x-pack/plugins/integration_assistant/server/graphs/categorization/review.ts +++ b/x-pack/plugins/integration_assistant/server/graphs/categorization/review.ts @@ -12,6 +12,8 @@ import type { CategorizationNodeParams } from './types'; import type { SimplifiedProcessors, SimplifiedProcessor, CategorizationState } from '../../types'; import { combineProcessors } from '../../util/processors'; import { ECS_EVENT_TYPES_PER_CATEGORY } from './constants'; +import { selectResults } from './util'; +import { CATEROGIZATION_REVIEW_BATCH_SIZE } from '../../../common/constants'; export async function handleReview({ state, @@ -21,9 +23,15 @@ export async function handleReview({ const outputParser = new JsonOutputParser(); const categorizationReview = categorizationReviewPrompt.pipe(model).pipe(outputParser); + const [pipelineResults, selectedIndices] = selectResults( + state.pipelineResults, + CATEROGIZATION_REVIEW_BATCH_SIZE, + new Set(state.stableSamples) + ); + const currentProcessors = (await categorizationReview.invoke({ current_processors: JSON.stringify(state.currentProcessors, null, 2), - pipeline_results: JSON.stringify(state.pipelineResults, null, 2), + pipeline_results: JSON.stringify(pipelineResults, null, 2), previous_invalid_categorization: state.previousInvalidCategorization, previous_error: state.previousError, ex_answer: state?.exAnswer, @@ -41,7 +49,8 @@ export async function handleReview({ return { currentPipeline, currentProcessors, - reviewed: true, + reviewCount: state.reviewCount + 1, + lastReviewedSamples: selectedIndices, lastExecutedChain: 'review', }; } diff --git a/x-pack/plugins/integration_assistant/server/graphs/categorization/stable.ts b/x-pack/plugins/integration_assistant/server/graphs/categorization/stable.ts new file mode 100644 index 0000000000000..c552dfd950028 --- /dev/null +++ b/x-pack/plugins/integration_assistant/server/graphs/categorization/stable.ts @@ -0,0 +1,43 @@ +/* + * 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 type { CategorizationState } from '../../types'; +import type { CategorizationBaseNodeParams } from './types'; +import { diffCategorization } from './util'; + +/** + * Updates the stable samples in the categorization state. + * + * Example: If the pipeline results are [A, B, C, D], the previous pipeline results are [A, X, C, D], + * the previously stable samples are {0, 1} and the last reviewed samples are {1, 2}, then 1 will be removed from + * the list of stable samples and 2 will be added to the list of stable samples. The new set will be {0, 2}. + * + * @param {CategorizationBaseNodeParams} params - The parameters containing the current state. + * @returns {Partial} - The updated categorization state with new stable samples, + * cleared last reviewed samples, and the last executed chain set to 'handleUpdateStableSamples'. + */ +export function handleUpdateStableSamples({ + state, +}: CategorizationBaseNodeParams): Partial { + if (state.previousPipelineResults.length === 0) { + return {}; + } + + const diff = diffCategorization(state.pipelineResults, state.previousPipelineResults); + + const newStableSamples = Array.from( + new Set( + [...state.stableSamples, ...state.lastReviewedSamples].filter((x) => !diff.has(x)) + ) + ); + + return { + stableSamples: newStableSamples, + lastReviewedSamples: [], + lastExecutedChain: 'handleUpdateStableSamples', + }; +} diff --git a/x-pack/plugins/integration_assistant/server/graphs/categorization/util.test.ts b/x-pack/plugins/integration_assistant/server/graphs/categorization/util.test.ts new file mode 100644 index 0000000000000..72f4a7f4eeeaf --- /dev/null +++ b/x-pack/plugins/integration_assistant/server/graphs/categorization/util.test.ts @@ -0,0 +1,270 @@ +/* + * 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 { selectResults, diffCategorization, stringArraysEqual } from './util'; +import { partialShuffleArray } from '../../../common'; +import type { PipelineResult } from './validate'; + +// Mock the partialShuffleArray function +jest.mock('../../../common', () => ({ + partialShuffleArray: jest.fn(), +})); + +describe('selectResults', () => { + const mockPartialShuffleArray = partialShuffleArray as jest.MockedFunction< + typeof partialShuffleArray + >; + + beforeEach(() => { + mockPartialShuffleArray.mockClear(); + }); + + it('should return the correct number of samples and their indices', () => { + const pipelineResults = [ + { event: { category: ['1'] } }, + { event: { category: ['2'] } }, + { event: { category: ['3'] } }, + ] satisfies PipelineResult[]; + const maxSamples = 2; + + mockPartialShuffleArray.mockImplementation((array, numSamples) => { + // Mock implementation that does not actually shuffle + return array; + }); + + const [selectedResults, indices] = selectResults(pipelineResults, maxSamples, new Set()); + expect(selectedResults).toHaveLength(maxSamples); + expect(indices).toHaveLength(maxSamples); + expect(indices).toEqual([0, 1]); + expect(selectedResults).toEqual([pipelineResults[0], pipelineResults[1]]); + }); + + it('should return all results if maxSamples is greater than the number of pipelineResults', () => { + const pipelineResults: PipelineResult[] = [ + { event: { category: ['1'] } }, + { event: { category: ['2'] } }, + ]; + const maxSamples = 5; + + mockPartialShuffleArray.mockImplementation((array, numSamples) => { + // Mock implementation that does not actually shuffle + return array; + }); + + const [selectedResults, indices] = selectResults(pipelineResults, maxSamples, new Set()); + + expect(selectedResults).toHaveLength(pipelineResults.length); + expect(indices).toHaveLength(pipelineResults.length); + expect(indices).toEqual([0, 1]); + expect(selectedResults).toEqual(pipelineResults); + }); + + it('should call partialShuffleArray with correct arguments', () => { + const pipelineResults: PipelineResult[] = [ + { event: { category: ['1'] } }, + { event: { category: ['2'] } }, + { event: { category: ['3'] } }, + ]; + + selectResults(pipelineResults, 2, new Set()); + + expect(mockPartialShuffleArray).toHaveBeenCalledWith([0, 1], 0, 2); + }); + + it('should handle avoiding indices', () => { + const pipelineResults = [ + { event: { category: ['1'] } }, + { event: { category: ['2'] } }, + { event: { category: ['3'] } }, + ] satisfies PipelineResult[]; + const maxSamples = 2; + + mockPartialShuffleArray.mockImplementation((array, numSamples) => { + // Mock implementation that does not actually shuffle + return array; + }); + + const [selectedResults, indices] = selectResults(pipelineResults, maxSamples, new Set()); + expect(selectedResults).toHaveLength(maxSamples); + expect(indices).toHaveLength(maxSamples); + expect(indices).toEqual([0, 1]); + expect(selectedResults).toEqual([pipelineResults[0], pipelineResults[1]]); + }); + + // Mock the partialShuffleArray function + jest.mock('../../../common', () => ({ + partialShuffleArray: jest.fn(), + })); + + describe('selectResults', () => { + beforeEach(() => { + mockPartialShuffleArray.mockClear(); + }); + + it('should return the correct number of samples and their indices', () => { + const pipelineResults = [ + { event: { category: ['1'] } }, + { event: { category: ['2'] } }, + { event: { category: ['3'] } }, + ] satisfies PipelineResult[]; + const maxSamples = 2; + + mockPartialShuffleArray.mockImplementation((array, numSamples) => { + // Mock implementation that does not actually shuffle + return array; + }); + + const [selectedResults, indices] = selectResults(pipelineResults, maxSamples, new Set()); + expect(selectedResults).toHaveLength(maxSamples); + expect(indices).toHaveLength(maxSamples); + expect(indices).toEqual([0, 1]); + expect(selectedResults).toEqual([pipelineResults[0], pipelineResults[1]]); + }); + + it('should return all results if maxSamples is greater than the number of pipelineResults', () => { + const pipelineResults: PipelineResult[] = [ + { event: { category: ['1'] } }, + { event: { category: ['2'] } }, + ]; + const maxSamples = 5; + + mockPartialShuffleArray.mockImplementation((array, numSamples) => { + // Mock implementation that does not actually shuffle + return array; + }); + + const [selectedResults, indices] = selectResults(pipelineResults, maxSamples, new Set()); + + expect(selectedResults).toHaveLength(pipelineResults.length); + expect(indices).toHaveLength(pipelineResults.length); + expect(indices).toEqual([0, 1]); + expect(selectedResults).toEqual(pipelineResults); + }); + + it('should call partialShuffleArray with correct arguments', () => { + const pipelineResults: PipelineResult[] = [ + { event: { category: ['1'] } }, + { event: { category: ['2'] } }, + { event: { category: ['3'] } }, + ]; + + selectResults(pipelineResults, 2, new Set()); + + expect(mockPartialShuffleArray).toHaveBeenCalledWith([0, 1], 0, 2); + }); + + it('should handle avoiding indices', () => { + const pipelineResults = [ + { event: { category: ['1'] } }, + { event: { category: ['2'] } }, + { event: { category: ['3'] } }, + ] satisfies PipelineResult[]; + const maxSamples = 2; + + mockPartialShuffleArray.mockImplementation((array, numSamples) => { + // Mock implementation that does not actually shuffle + return array; + }); + + const [selectedResults, indices] = selectResults(pipelineResults, maxSamples, new Set([1])); + expect(selectedResults).toHaveLength(maxSamples); + expect(indices).toHaveLength(maxSamples); + expect(indices).toEqual([0, 2]); + expect(selectedResults).toEqual([pipelineResults[0], pipelineResults[2]]); + }); + }); + + describe('diffPipelineResults', () => { + it('should return an empty set if there are no differences', () => { + const pipelineResults: PipelineResult[] = [ + { event: { category: ['1'], type: ['type1'] } }, + { event: { category: ['2'], type: ['type2'] } }, + ]; + const previousPipelineResults: PipelineResult[] = [ + { event: { category: ['1'], type: ['type1'] } }, + { event: { category: ['2'], type: ['type2'] } }, + ]; + + const result = diffCategorization(pipelineResults, previousPipelineResults); + expect(result).toEqual(new Set()); + }); + + it('should return a set of indices where the categories differ', () => { + const pipelineResults: PipelineResult[] = [ + { event: { category: ['1'], type: ['type1'] } }, + { event: { category: ['2'], type: ['type2'] } }, + ]; + const previousPipelineResults: PipelineResult[] = [ + { event: { category: ['1'], type: ['type1'] } }, + { event: { category: ['3'], type: ['type2'] } }, + ]; + + const result = diffCategorization(pipelineResults, previousPipelineResults); + expect(result).toEqual(new Set([1])); + }); + + it('should return a set of indices where the types differ', () => { + const pipelineResults: PipelineResult[] = [ + { event: { category: ['1'], type: ['type1'] } }, + { event: { category: ['2'], type: ['type2'] } }, + ]; + const previousPipelineResults: PipelineResult[] = [ + { event: { category: ['1'], type: ['type1'] } }, + { event: { category: ['2'], type: ['type3'] } }, + ]; + + const result = diffCategorization(pipelineResults, previousPipelineResults); + expect(result).toEqual(new Set([1])); + }); + + it('should return a set of indices where both categories and types differ', () => { + const pipelineResults: PipelineResult[] = [ + { event: { category: ['1'], type: ['type1'] } }, + { event: { category: ['2'], type: ['type2'] } }, + ]; + const previousPipelineResults: PipelineResult[] = [ + { event: { category: ['3'], type: ['type3'] } }, + { event: { category: ['4'], type: ['type4'] } }, + ]; + + const result = diffCategorization(pipelineResults, previousPipelineResults); + expect(result).toEqual(new Set([0, 1])); + }); + + describe('stringArraysEqual', () => { + it('should return true for equal arrays', () => { + const arr1 = ['a', 'b', 'c']; + const arr2 = ['a', 'b', 'c']; + expect(stringArraysEqual(arr1, arr2)).toBe(true); + }); + + it('should return false for arrays of different lengths', () => { + const arr1 = ['a', 'b', 'c']; + const arr2 = ['a', 'b']; + expect(stringArraysEqual(arr1, arr2)).toBe(false); + }); + + it('should return false for arrays with different elements', () => { + const arr1 = ['a', 'b', 'c']; + const arr2 = ['a', 'b', 'd']; + expect(stringArraysEqual(arr1, arr2)).toBe(false); + }); + + it('should return false for arrays with same elements in different order', () => { + const arr1 = ['a', 'b', 'c']; + const arr2 = ['c', 'b', 'a']; + expect(stringArraysEqual(arr1, arr2)).toBe(false); + }); + + it('should return true for empty arrays', () => { + const arr1: string[] = []; + const arr2: string[] = []; + expect(stringArraysEqual(arr1, arr2)).toBe(true); + }); + }); + }); +}); diff --git a/x-pack/plugins/integration_assistant/server/graphs/categorization/util.ts b/x-pack/plugins/integration_assistant/server/graphs/categorization/util.ts new file mode 100644 index 0000000000000..85dea9dd5a0c8 --- /dev/null +++ b/x-pack/plugins/integration_assistant/server/graphs/categorization/util.ts @@ -0,0 +1,82 @@ +/* + * 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 type { PipelineResult } from './validate'; +import { partialShuffleArray } from '../../../common'; + +/** + * Selects a subset of results for further processing from the given list. + * + * The shuffle is deterministic and reproducible, based on the default seed. + * + * @param pipelineResults - An array of PipelineResult objects to select from. + * @param maxSamples - The maximum number of samples to select. + * @returns An array of PipelineResult objects, containing up to `maxSamples` elements and their indices. + */ +export function selectResults( + pipelineResults: PipelineResult[], + maxSamples: number, + avoidIndices: Set +): [PipelineResult[], number[]] { + const numSamples = Math.min(pipelineResults.length, maxSamples); + const indices = Array.from({ length: pipelineResults.length }, (_, i) => i).filter( + (i) => !avoidIndices.has(i) + ); + if (indices.length < numSamples) { + const avoidIndicesList = Array.from(avoidIndices).sort(); + partialShuffleArray(avoidIndicesList, 0, numSamples - indices.length); + avoidIndicesList.length = numSamples - indices.length; + indices.push(...avoidIndicesList); + } + partialShuffleArray(indices, 0, numSamples); + indices.length = numSamples; + return [indices.map((i) => pipelineResults[i]), indices]; +} + +/** + * Converts a PipelineResult object into its categorization. + * + * @param {PipelineResult} result - The result object from the pipeline containing event details. + * @returns {string[]} An array of strings combining event categories and types. Returns an empty array if event, event.category, or event.type is missing. + */ +function toCategorization(result: PipelineResult): string[] { + const event = result?.event; + if (!event || !event.category || !event.type) { + return []; + } + return [...event.category.sort(), ...event.type.sort()]; +} + +/** + * Compares two arrays of strings for equality. + * + * @param arr1 - The first array of strings to compare. + * @param arr2 - The second array of strings to compare. + * @returns the equality predicate + */ +export function stringArraysEqual(arr1: string[], arr2: string[]): boolean { + return arr1.length === arr2.length && arr1.every((value, index) => value === arr2[index]); +} + +/** + * Compares two arrays of pipeline results and returns a set of indices where the categorization differs. + * + * @param pipelineResults - The current array of pipeline results. + * @param previousPipelineResults - The previous array of pipeline results to compare against. + * @returns A set of indices where the pipeline results differ in event category or type. + */ +export function diffCategorization( + pipelineResults: PipelineResult[], + previousPipelineResults: PipelineResult[] +): Set { + const diff = Array.from({ length: pipelineResults.length }, (_, i) => i).filter((i) => { + const category1 = toCategorization(pipelineResults[i]); + const category2 = toCategorization(previousPipelineResults[i]); + return !stringArraysEqual(category1, category2); + }); + return new Set(diff); +} diff --git a/x-pack/plugins/integration_assistant/server/graphs/categorization/validate.ts b/x-pack/plugins/integration_assistant/server/graphs/categorization/validate.ts index 6360f327521c5..3f84d188ebabf 100644 --- a/x-pack/plugins/integration_assistant/server/graphs/categorization/validate.ts +++ b/x-pack/plugins/integration_assistant/server/graphs/categorization/validate.ts @@ -10,12 +10,12 @@ import { ECS_EVENT_TYPES_PER_CATEGORY, EVENT_CATEGORIES, EVENT_TYPES } from './c import type { EventCategories } from './constants'; -interface Event { +export interface Event { type?: string[]; category?: string[]; } -interface PipelineResult { +export interface PipelineResult { event?: Event; } diff --git a/x-pack/plugins/integration_assistant/server/graphs/kv/validate.ts b/x-pack/plugins/integration_assistant/server/graphs/kv/validate.ts index 6781f5cfa46d9..192c962599eba 100644 --- a/x-pack/plugins/integration_assistant/server/graphs/kv/validate.ts +++ b/x-pack/plugins/integration_assistant/server/graphs/kv/validate.ts @@ -93,7 +93,7 @@ export async function handleHeaderValidate({ async function verifyKVProcessor( kvProcessor: ESProcessorItem, - formattedSamples: string[], + samples: string[], client: IScopedClusterClient ): Promise<{ errors: object[] }> { // This processor removes the original message field in the output @@ -101,7 +101,7 @@ async function verifyKVProcessor( processors: [kvProcessor[0], createRemoveProcessor()], on_failure: [createPassthroughFailureProcessor()], }; - const { errors } = await testPipeline(formattedSamples, pipeline, client); + const { errors } = await testPipeline(samples, pipeline, client); return { errors }; } diff --git a/x-pack/plugins/integration_assistant/server/graphs/log_type_detection/detection.ts b/x-pack/plugins/integration_assistant/server/graphs/log_type_detection/detection.ts index c0172f2d139d0..6d6b9714389c4 100644 --- a/x-pack/plugins/integration_assistant/server/graphs/log_type_detection/detection.ts +++ b/x-pack/plugins/integration_assistant/server/graphs/log_type_detection/detection.ts @@ -9,8 +9,7 @@ import type { LogFormatDetectionState } from '../../types'; import { LOG_FORMAT_DETECTION_PROMPT } from './prompts'; import type { LogDetectionNodeParams } from './types'; import { SamplesFormat } from '../../../common'; - -const MaxLogSamplesInPrompt = 5; +import { LOG_FORMAT_DETECTION_SAMPLE_ROWS } from '../../../common/constants'; export async function handleLogFormatDetection({ state, @@ -20,8 +19,8 @@ export async function handleLogFormatDetection({ const logFormatDetectionNode = LOG_FORMAT_DETECTION_PROMPT.pipe(model).pipe(outputParser); const samples = - state.logSamples.length > MaxLogSamplesInPrompt - ? state.logSamples.slice(0, MaxLogSamplesInPrompt) + state.logSamples.length > LOG_FORMAT_DETECTION_SAMPLE_ROWS + ? state.logSamples.slice(0, LOG_FORMAT_DETECTION_SAMPLE_ROWS) : state.logSamples; const logFormatDetectionResult = await logFormatDetectionNode.invoke({ diff --git a/x-pack/plugins/integration_assistant/server/graphs/related/graph.ts b/x-pack/plugins/integration_assistant/server/graphs/related/graph.ts index be4b00852485c..e8dc44a152e80 100644 --- a/x-pack/plugins/integration_assistant/server/graphs/related/graph.ts +++ b/x-pack/plugins/integration_assistant/server/graphs/related/graph.ts @@ -10,7 +10,7 @@ import { StateGraph, END, START } from '@langchain/langgraph'; import { SamplesFormat } from '../../../common'; import type { RelatedState } from '../../types'; import { handleValidatePipeline } from '../../util/graph'; -import { formatSamples, prefixSamples } from '../../util/samples'; +import { prefixSamples } from '../../util/samples'; import { RELATED_ECS_FIELDS, RELATED_EXAMPLE_ANSWER } from './constants'; import { handleErrors } from './errors'; import { handleRelated } from './related'; @@ -30,10 +30,6 @@ const graphState: StateGraphArgs['channels'] = { value: (x: string[], y?: string[]) => y ?? x, default: () => [], }, - formattedSamples: { - value: (x: string, y?: string) => y ?? x, - default: () => '', - }, hasTriedOnce: { value: (x: boolean, y?: boolean) => y ?? x, default: () => false, @@ -97,31 +93,22 @@ const graphState: StateGraphArgs['channels'] = { }; function modelInput({ state }: RelatedBaseNodeParams): Partial { - const initialPipeline = JSON.parse(JSON.stringify(state.currentPipeline)); - return { - exAnswer: JSON.stringify(RELATED_EXAMPLE_ANSWER, null, 2), - ecs: JSON.stringify(RELATED_ECS_FIELDS, null, 2), - samples: state.rawSamples, - initialPipeline, - finalized: false, - reviewed: false, - lastExecutedChain: 'modelInput', - }; -} + let samples: string[]; + if (state.samplesFormat.name === 'json' || state.samplesFormat.name === 'ndjson') { + samples = prefixSamples(state); + } else { + samples = state.rawSamples; + } -function modelJSONInput({ state }: RelatedBaseNodeParams): Partial { - const samples = prefixSamples(state); - const formattedSamples = formatSamples(samples); const initialPipeline = JSON.parse(JSON.stringify(state.currentPipeline)); return { exAnswer: JSON.stringify(RELATED_EXAMPLE_ANSWER, null, 2), ecs: JSON.stringify(RELATED_ECS_FIELDS, null, 2), samples, - formattedSamples, initialPipeline, finalized: false, reviewed: false, - lastExecutedChain: 'modelJSONInput', + lastExecutedChain: 'modelInput', }; } @@ -143,13 +130,6 @@ function inputRouter({ state }: RelatedBaseNodeParams): string { return 'related'; } -function modelRouter({ state }: RelatedBaseNodeParams): string { - if (state.samplesFormat.name === 'json' || state.samplesFormat.name === 'ndjson') { - return 'modelJSONInput'; - } - return 'modelInput'; -} - function chainRouter({ state }: RelatedBaseNodeParams): string { if (Object.keys(state.currentProcessors).length === 0) { if (state.hasTriedOnce || state.reviewed) { @@ -172,7 +152,6 @@ function chainRouter({ state }: RelatedBaseNodeParams): string { export async function getRelatedGraph({ client, model }: RelatedGraphParams) { const workflow = new StateGraph({ channels: graphState }) .addNode('modelInput', (state: RelatedState) => modelInput({ state })) - .addNode('modelJSONInput', (state: RelatedState) => modelJSONInput({ state })) .addNode('modelOutput', (state: RelatedState) => modelOutput({ state })) .addNode('handleRelated', (state: RelatedState) => handleRelated({ state, model })) .addNode('handleValidatePipeline', (state: RelatedState) => @@ -180,10 +159,7 @@ export async function getRelatedGraph({ client, model }: RelatedGraphParams) { ) .addNode('handleErrors', (state: RelatedState) => handleErrors({ state, model })) .addNode('handleReview', (state: RelatedState) => handleReview({ state, model })) - .addConditionalEdges(START, (state: RelatedState) => modelRouter({ state }), { - modelJSONInput: 'modelJSONInput', - modelInput: 'modelInput', // For Non JSON input samples - }) + .addEdge(START, 'modelInput') .addEdge('modelOutput', END) .addEdge('handleRelated', 'handleValidatePipeline') .addEdge('handleErrors', 'handleValidatePipeline') @@ -192,10 +168,6 @@ export async function getRelatedGraph({ client, model }: RelatedGraphParams) { related: 'handleRelated', validatePipeline: 'handleValidatePipeline', }) - .addConditionalEdges('modelJSONInput', (state: RelatedState) => inputRouter({ state }), { - related: 'handleRelated', - validatePipeline: 'handleValidatePipeline', - }) .addConditionalEdges( 'handleValidatePipeline', (state: RelatedState) => chainRouter({ state }), diff --git a/x-pack/plugins/integration_assistant/server/routes/categorization_routes.ts b/x-pack/plugins/integration_assistant/server/routes/categorization_routes.ts index c437f6fc35546..77ce549f589f4 100644 --- a/x-pack/plugins/integration_assistant/server/routes/categorization_routes.ts +++ b/x-pack/plugins/integration_assistant/server/routes/categorization_routes.ts @@ -22,7 +22,7 @@ import { buildRouteValidationWithZod } from '../util/route_validation'; import { withAvailability } from './with_availability'; import { isErrorThatHandlesItsOwnResponse } from '../lib/errors'; import { handleCustomErrors } from './routes_util'; -import { GenerationErrorCode } from '../../common/constants'; +import { CATEGORIZATION_RECURSION_LIMIT, GenerationErrorCode } from '../../common/constants'; export function registerCategorizationRoutes( router: IRouter @@ -91,6 +91,7 @@ export function registerCategorizationRoutes( samplesFormat, }; const options = { + recursionLimit: CATEGORIZATION_RECURSION_LIMIT, callbacks: [ new APMTracer({ projectName: langSmithOptions?.projectName ?? 'default' }, logger), ...getLangSmithTracer({ ...langSmithOptions, logger }), diff --git a/x-pack/plugins/integration_assistant/server/types.ts b/x-pack/plugins/integration_assistant/server/types.ts index a8f0d86a925ba..df054c40a9ef3 100644 --- a/x-pack/plugins/integration_assistant/server/types.ts +++ b/x-pack/plugins/integration_assistant/server/types.ts @@ -42,7 +42,6 @@ export interface SimplifiedProcessors { export interface CategorizationState { rawSamples: string[]; samples: string[]; - formattedSamples: string; ecsTypes: string; ecsCategories: string; exAnswer: string; @@ -52,9 +51,11 @@ export interface CategorizationState { errors: object; previousError: string; pipelineResults: object[]; + previousPipelineResults: object[]; + lastReviewedSamples: number[]; // Filled when reviewing. + stableSamples: number[]; // Samples that did not change due to a review. + reviewCount: number; finalized: boolean; - reviewed: boolean; - hasTriedOnce: boolean; currentPipeline: object; currentProcessors: object[]; invalidCategorization: object[]; @@ -154,7 +155,6 @@ export interface UnstructuredLogState { export interface RelatedState { rawSamples: string[]; samples: string[]; - formattedSamples: string; ecs: string; exAnswer: string; packageName: string; diff --git a/x-pack/plugins/integration_assistant/server/util/graph.ts b/x-pack/plugins/integration_assistant/server/util/graph.ts index 53a7787263ce1..4ae231c8d372d 100644 --- a/x-pack/plugins/integration_assistant/server/util/graph.ts +++ b/x-pack/plugins/integration_assistant/server/util/graph.ts @@ -19,9 +19,11 @@ export async function handleValidatePipeline({ }: HandleValidateNodeParams): Promise | Partial> { const previousError = JSON.stringify(state.errors, null, 2); const results = await testPipeline(state.rawSamples, state.currentPipeline, client); + return { errors: results.errors, previousError, + previousPipelineResults: state.pipelineResults, pipelineResults: results.pipelineResults, lastExecutedChain: 'validate_pipeline', }; diff --git a/x-pack/plugins/integration_assistant/server/util/pipeline.ts b/x-pack/plugins/integration_assistant/server/util/pipeline.ts index 5df0ad0ea4917..6eacb8b19b468 100644 --- a/x-pack/plugins/integration_assistant/server/util/pipeline.ts +++ b/x-pack/plugins/integration_assistant/server/util/pipeline.ts @@ -56,13 +56,13 @@ export async function testPipeline( export async function createJSONInput( processors: ESProcessorItem[], - formattedSamples: string[], + samples: string[], client: IScopedClusterClient ): Promise<{ pipelineResults: Array<{ [key: string]: unknown }>; errors: object[] }> { const pipeline = { processors: [...processors, createRemoveProcessor()], on_failure: [createPassthroughFailureProcessor()], }; - const { pipelineResults, errors } = await testPipeline(formattedSamples, pipeline, client); + const { pipelineResults, errors } = await testPipeline(samples, pipeline, client); return { pipelineResults, errors }; } diff --git a/x-pack/plugins/integration_assistant/server/util/samples.ts b/x-pack/plugins/integration_assistant/server/util/samples.ts index afe450f9b0f2a..4c8f4f6f514a3 100644 --- a/x-pack/plugins/integration_assistant/server/util/samples.ts +++ b/x-pack/plugins/integration_assistant/server/util/samples.ts @@ -48,17 +48,6 @@ export function prefixSamples( return modifiedSamples; } -export function formatSamples(samples: string[]): string { - const formattedSamples: unknown[] = []; - - for (const sample of samples) { - const sampleObj = JSON.parse(sample); - formattedSamples.push(sampleObj); - } - - return JSON.stringify(formattedSamples, null, 2); -} - function determineType(value: unknown): string { if (typeof value === 'object' && value !== null) { if (Array.isArray(value)) { diff --git a/x-pack/plugins/translations/translations/fr-FR.json b/x-pack/plugins/translations/translations/fr-FR.json index e93f94ef8cf7c..1324e58b6cbcf 100644 --- a/x-pack/plugins/translations/translations/fr-FR.json +++ b/x-pack/plugins/translations/translations/fr-FR.json @@ -24771,7 +24771,6 @@ "xpack.integrationAssistant.step.dataStream.logsSample.errorNotArray": "Le fichier de logs exemple n'est pas un tableau", "xpack.integrationAssistant.step.dataStream.logsSample.errorNotObject": "Le fichier de logs exemple contient des entrées n’étant pas des objets", "xpack.integrationAssistant.step.dataStream.logsSample.label": "Logs", - "xpack.integrationAssistant.step.dataStream.logsSample.truncatedWarning": "L'échantillon de logs a été tronqué pour contenir {maxRows} lignes.", "xpack.integrationAssistant.step.dataStream.logsSample.warning": "Veuillez noter que ces données seront analysées par un outil d'IA tiers. Assurez-vous de respecter les directives de confidentialité et de sécurité lors de la sélection des données.", "xpack.integrationAssistant.step.dataStream.nameAlreadyExistsError": "Ce nom d'intégration est déjà utilisé. Veuillez choisir un autre nom.", "xpack.integrationAssistant.step.dataStream.noSpacesHelpText": "Les noms peuvent contenir uniquement des lettres minuscules, des chiffres et des traits de soulignement (_)", diff --git a/x-pack/plugins/translations/translations/ja-JP.json b/x-pack/plugins/translations/translations/ja-JP.json index 08cd3f5c0b9d7..05626b1f0c639 100644 --- a/x-pack/plugins/translations/translations/ja-JP.json +++ b/x-pack/plugins/translations/translations/ja-JP.json @@ -24518,7 +24518,6 @@ "xpack.integrationAssistant.step.dataStream.logsSample.errorNotArray": "ログサンプルファイルは配列ではありません", "xpack.integrationAssistant.step.dataStream.logsSample.errorNotObject": "ログサンプルファイルには、オブジェクト以外のエントリが含まれています", "xpack.integrationAssistant.step.dataStream.logsSample.label": "ログ", - "xpack.integrationAssistant.step.dataStream.logsSample.truncatedWarning": "ログサンプルは{maxRows}行に切り詰められました。", "xpack.integrationAssistant.step.dataStream.logsSample.warning": "このデータは、サードパーティAIツールによって分析されます。データを選択するときには、プライバシーおよびセキュリティガイドラインに準拠していることを確認してください。", "xpack.integrationAssistant.step.dataStream.nameAlreadyExistsError": "この統合名はすでに使用中です。別の名前を選択してください。", "xpack.integrationAssistant.step.dataStream.noSpacesHelpText": "名前には、小文字、数字、アンダースコア（_）のみを使用できます。", diff --git a/x-pack/plugins/translations/translations/zh-CN.json b/x-pack/plugins/translations/translations/zh-CN.json index 26efb217ef267..4f29a0654850e 100644 --- a/x-pack/plugins/translations/translations/zh-CN.json +++ b/x-pack/plugins/translations/translations/zh-CN.json @@ -24552,7 +24552,6 @@ "xpack.integrationAssistant.step.dataStream.logsSample.errorNotArray": "日志样例文件不是数组", "xpack.integrationAssistant.step.dataStream.logsSample.errorNotObject": "日志样例文件包含非对象条目", "xpack.integrationAssistant.step.dataStream.logsSample.label": "日志", - "xpack.integrationAssistant.step.dataStream.logsSample.truncatedWarning": "日志样例已被截短为 {maxRows} 行。", "xpack.integrationAssistant.step.dataStream.logsSample.warning": "请注意，此数据将由第三方 AI 工具进行分析。选择数据时，请确保遵循隐私和安全指引。", "xpack.integrationAssistant.step.dataStream.nameAlreadyExistsError": "此集成名称已在使用中。请选择其他名称。", "xpack.integrationAssistant.step.dataStream.noSpacesHelpText": "名称只能包含小写字母、数字和下划线 (_)",