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[ML] DF Analytics - auto-populate model_memory_limit (#50714)
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* create modelMemoryLimit estimation endpoint. add value to form

* add validation for model memory limit field

* update jest tests

* update validateModelMemoryLimitUnitsUtils to be more generic

* add placeholder and validation with helpText to modelMemoryLimit field

* update endpoint name to estimateDataFrameAnalyticsMemoryUsage for clarity

* tweak modelMemoryLimitEmpty check in reducer

* add tests for modelMemoryLimit validation
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@alvarezmelissa87
alvarezmelissa87 committed Nov 18, 2019
1 parent 10c158b commit dd06bfc
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Showing 12 changed files with 212 additions and 26 deletions.
4 changes: 4 additions & 0 deletions x-pack/legacy/plugins/ml/common/util/job_utils.d.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -32,6 +32,10 @@ export const ML_DATA_PREVIEW_COUNT: number;

export function isJobIdValid(jobId: string): boolean;

export function validateModelMemoryLimitUnits(
modelMemoryLimit: string
): { valid: boolean; messages: any[]; contains: () => boolean; find: () => void };

export function processCreatedBy(customSettings: { created_by?: string }): void;

export function mlFunctionToESAggregation(functionName: string): string | null;
9 changes: 5 additions & 4 deletions x-pack/legacy/plugins/ml/common/util/job_utils.js
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Original file line number Diff line number Diff line change
Expand Up @@ -405,10 +405,11 @@ export function basicJobValidation(job, fields, limits, skipMmlChecks = false) {

if (skipMmlChecks === false) {
// model memory limit
const mml = job.analysis_limits && job.analysis_limits.model_memory_limit;
const {
messages: mmlUnitMessages,
valid: mmlUnitValid,
} = validateModelMemoryLimitUnits(job);
} = validateModelMemoryLimitUnits(mml);

messages.push(...mmlUnitMessages);
valid = (valid && mmlUnitValid);
Expand Down Expand Up @@ -494,12 +495,12 @@ export function validateModelMemoryLimit(job, limits) {
};
}

export function validateModelMemoryLimitUnits(job) {
export function validateModelMemoryLimitUnits(modelMemoryLimit) {
const messages = [];
let valid = true;

if (typeof job.analysis_limits !== 'undefined' && typeof job.analysis_limits.model_memory_limit !== 'undefined') {
const mml = job.analysis_limits.model_memory_limit.toUpperCase();
if (modelMemoryLimit !== undefined) {
const mml = modelMemoryLimit.toUpperCase();
const mmlSplit = mml.match(/\d+(\w+)$/);
const unit = (mmlSplit && mmlSplit.length === 2) ? mmlSplit[1] : null;

Expand Down
2 changes: 1 addition & 1 deletion ...ages/analytics_management/components/create_analytics_form/create_analytics_form.test.tsx
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Original file line number Diff line number Diff line change
Expand Up @@ -45,7 +45,7 @@ describe('Data Frame Analytics: <CreateAnalyticsForm />', () => {
);

const euiFormRows = wrapper.find('EuiFormRow');
expect(euiFormRows.length).toBe(6);
expect(euiFormRows.length).toBe(7);

const row1 = euiFormRows.at(0);
expect(row1.find('label').text()).toBe('Job type');
Expand Down
64 changes: 62 additions & 2 deletions ...ics/pages/analytics_management/components/create_analytics_form/create_analytics_form.tsx
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Original file line number Diff line number Diff line change
Expand Up @@ -21,15 +21,21 @@ import { FormattedMessage } from '@kbn/i18n/react';

import { metadata } from 'ui/metadata';
import { IndexPattern, INDEX_PATTERN_ILLEGAL_CHARACTERS } from 'ui/index_patterns';
import { ml } from '../../../../../services/ml_api_service';
import { Field, EVENT_RATE_FIELD_ID } from '../../../../../../common/types/fields';

import { newJobCapsService } from '../../../../../services/new_job_capabilities_service';
import { useKibanaContext } from '../../../../../contexts/kibana';
import { CreateAnalyticsFormProps } from '../../hooks/use_create_analytics_form';
import { JOB_TYPES } from '../../hooks/use_create_analytics_form/state';
import {
JOB_TYPES,
DEFAULT_MODEL_MEMORY_LIMIT,
getJobConfigFromFormState,
} from '../../hooks/use_create_analytics_form/state';
import { JOB_ID_MAX_LENGTH } from '../../../../../../common/constants/validation';
import { Messages } from './messages';
import { JobType } from './job_type';
import { mmlUnitInvalidErrorMessage } from '../../hooks/use_create_analytics_form/reducer';

// based on code used by `ui/index_patterns` internally
// remove the space character from the list of illegal characters
Expand Down Expand Up @@ -73,6 +79,8 @@ export const CreateAnalyticsForm: FC<CreateAnalyticsFormProps> = ({ actions, sta
jobIdInvalidMaxLength,
jobType,
loadingDepFieldOptions,
modelMemoryLimit,
modelMemoryLimitUnitValid,
sourceIndex,
sourceIndexNameEmpty,
sourceIndexNameValid,
Expand Down Expand Up @@ -103,6 +111,25 @@ export const CreateAnalyticsForm: FC<CreateAnalyticsFormProps> = ({ actions, sta
}
};

const loadModelMemoryLimitEstimate = async () => {
try {
const jobConfig = getJobConfigFromFormState(form);
delete jobConfig.dest;
delete jobConfig.model_memory_limit;
const resp = await ml.dataFrameAnalytics.estimateDataFrameAnalyticsMemoryUsage(jobConfig);
setFormState({
modelMemoryLimit: resp.expected_memory_without_disk,
});
} catch (e) {
setFormState({
modelMemoryLimit:
jobType !== undefined
? DEFAULT_MODEL_MEMORY_LIMIT[jobType]
: DEFAULT_MODEL_MEMORY_LIMIT.outlier_detection,
});
}
};

const loadDependentFieldOptions = async () => {
setFormState({
loadingDepFieldOptions: true,
Expand Down Expand Up @@ -175,6 +202,21 @@ export const CreateAnalyticsForm: FC<CreateAnalyticsFormProps> = ({ actions, sta
}
}, [sourceIndex, jobType, sourceIndexNameEmpty]);

useEffect(() => {
const hasBasicRequiredFields =
jobType !== undefined && sourceIndex !== '' && sourceIndexNameValid === true;

const hasRequiredAnalysisFields =
(jobType === JOB_TYPES.REGRESSION &&
dependentVariable !== '' &&
trainingPercent !== undefined) ||
jobType === JOB_TYPES.OUTLIER_DETECTION;

if (hasBasicRequiredFields && hasRequiredAnalysisFields) {
loadModelMemoryLimitEstimate();
}
}, [jobType, sourceIndex, dependentVariable, trainingPercent]);

return (
<EuiForm className="mlDataFrameAnalyticsCreateForm">
<Messages messages={requestMessages} />
Expand Down Expand Up @@ -277,7 +319,7 @@ export const CreateAnalyticsForm: FC<CreateAnalyticsFormProps> = ({ actions, sta
placeholder={i18n.translate(
'xpack.ml.dataframe.analytics.create.sourceIndexPlaceholder',
{
defaultMessage: 'Choose a source index pattern or saved search.',
defaultMessage: 'Choose a source index pattern.',
}
)}
singleSelection={{ asPlainText: true }}
Expand Down Expand Up @@ -437,6 +479,24 @@ export const CreateAnalyticsForm: FC<CreateAnalyticsFormProps> = ({ actions, sta
</EuiFormRow>
</Fragment>
)}
<EuiFormRow
label={i18n.translate('xpack.ml.dataframe.analytics.create.modelMemoryLimitLabel', {
defaultMessage: 'Model memory limit',
})}
helpText={!modelMemoryLimitUnitValid && mmlUnitInvalidErrorMessage}
>
<EuiFieldText
placeholder={
jobType !== undefined
? DEFAULT_MODEL_MEMORY_LIMIT[jobType]
: DEFAULT_MODEL_MEMORY_LIMIT.outlier_detection
}
disabled={isJobCreated}
value={modelMemoryLimit || ''}
onChange={e => setFormState({ modelMemoryLimit: e.target.value })}
isInvalid={modelMemoryLimit === ''}
/>
</EuiFormRow>
<EuiFormRow
isInvalid={createIndexPattern && destinationIndexPatternTitleExists}
error={
Expand Down
46 changes: 38 additions & 8 deletions ...rame_analytics/pages/analytics_management/hooks/use_create_analytics_form/reducer.test.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,13 @@ jest.mock('ui/index_patterns', () => ({

type SourceIndex = DataFrameAnalyticsConfig['source']['index'];

const getMockState = (index: SourceIndex) =>
const getMockState = ({
index,
modelMemoryLimit,
}: {
index: SourceIndex;
modelMemoryLimit?: string;
}) =>
merge(getInitialState(), {
form: {
jobIdEmpty: false,
Expand All @@ -30,6 +36,7 @@ const getMockState = (index: SourceIndex) =>
source: { index },
dest: { index: 'the-destination-index' },
analysis: {},
model_memory_limit: modelMemoryLimit,
},
});

Expand Down Expand Up @@ -89,27 +96,50 @@ describe('useCreateAnalyticsForm', () => {

test('validateAdvancedEditor(): check index pattern variations', () => {
// valid single index pattern
expect(validateAdvancedEditor(getMockState('the-source-index')).isValid).toBe(true);
expect(validateAdvancedEditor(getMockState({ index: 'the-source-index' })).isValid).toBe(true);
// valid array with one ES index pattern
expect(validateAdvancedEditor(getMockState(['the-source-index'])).isValid).toBe(true);
expect(validateAdvancedEditor(getMockState({ index: ['the-source-index'] })).isValid).toBe(
true
);
// valid array with two ES index patterns
expect(
validateAdvancedEditor(getMockState(['the-source-index-1', 'the-source-index-2'])).isValid
validateAdvancedEditor(getMockState({ index: ['the-source-index-1', 'the-source-index-2'] }))
.isValid
).toBe(true);
// invalid comma-separated index pattern, this is only allowed in the simple form
// but not the advanced editor.
expect(
validateAdvancedEditor(getMockState('the-source-index-1,the-source-index-2')).isValid
validateAdvancedEditor(getMockState({ index: 'the-source-index-1,the-source-index-2' }))
.isValid
).toBe(false);
expect(
validateAdvancedEditor(
getMockState(['the-source-index-1,the-source-index-2', 'the-source-index-3'])
getMockState({ index: ['the-source-index-1,the-source-index-2', 'the-source-index-3'] })
).isValid
).toBe(false);
// invalid formats ("fake" TS casting to get valid TS and be able to run the tests)
expect(validateAdvancedEditor(getMockState({} as SourceIndex)).isValid).toBe(false);
expect(validateAdvancedEditor(getMockState({ index: {} as SourceIndex })).isValid).toBe(false);
expect(
validateAdvancedEditor(getMockState((undefined as unknown) as SourceIndex)).isValid
validateAdvancedEditor(getMockState({ index: (undefined as unknown) as SourceIndex })).isValid
).toBe(false);
});

test('validateAdvancedEditor(): check model memory limit validation', () => {
// valid model_memory_limit units
expect(
validateAdvancedEditor(getMockState({ index: 'the-source-index', modelMemoryLimit: '100mb' }))
.isValid
).toBe(true);
// invalid model_memory_limit units
expect(
validateAdvancedEditor(
getMockState({ index: 'the-source-index', modelMemoryLimit: '100bob' })
).isValid
).toBe(false);
// invalid model_memory_limit if empty
expect(
validateAdvancedEditor(getMockState({ index: 'the-source-index', modelMemoryLimit: '' }))
.isValid
).toBe(false);
});
});
58 changes: 56 additions & 2 deletions ...ata_frame_analytics/pages/analytics_management/hooks/use_create_analytics_form/reducer.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -13,11 +13,29 @@ import { isValidIndexName } from '../../../../../../common/util/es_utils';

import { Action, ACTION } from './actions';
import { getInitialState, getJobConfigFromFormState, State, JOB_TYPES } from './state';
import { isJobIdValid } from '../../../../../../common/util/job_utils';
import {
isJobIdValid,
validateModelMemoryLimitUnits,
} from '../../../../../../common/util/job_utils';
import { maxLengthValidator } from '../../../../../../common/util/validators';
import { JOB_ID_MAX_LENGTH } from '../../../../../../common/constants/validation';
import {
JOB_ID_MAX_LENGTH,
ALLOWED_DATA_UNITS,
} from '../../../../../../common/constants/validation';
import { getDependentVar, isRegressionAnalysis } from '../../../../common/analytics';

const mmlAllowedUnitsStr = `${ALLOWED_DATA_UNITS.slice(0, ALLOWED_DATA_UNITS.length - 1).join(
', '
)} or ${[...ALLOWED_DATA_UNITS].pop()}`;

export const mmlUnitInvalidErrorMessage = i18n.translate(
'xpack.ml.dataframe.analytics.create.modelMemoryUnitsInvalidError',
{
defaultMessage: 'Model memory limit data unit unrecognized. It must be {str}',
values: { str: mmlAllowedUnitsStr },
}
);

const getSourceIndexString = (state: State) => {
const { jobConfig } = state;

Expand Down Expand Up @@ -63,6 +81,12 @@ export const validateAdvancedEditor = (state: State): State => {
const destinationIndexNameValid = isValidIndexName(destinationIndexName);
const destinationIndexPatternTitleExists =
state.indexPatternsMap[destinationIndexName] !== undefined;
const mml = jobConfig.model_memory_limit;
const modelMemoryLimitEmpty = mml === '';
if (!modelMemoryLimitEmpty && mml !== undefined) {
const { valid } = validateModelMemoryLimitUnits(mml);
state.form.modelMemoryLimitUnitValid = valid;
}

let dependentVariableEmpty = false;
if (isRegressionAnalysis(jobConfig.analysis)) {
Expand Down Expand Up @@ -126,7 +150,27 @@ export const validateAdvancedEditor = (state: State): State => {
});
}

if (modelMemoryLimitEmpty) {
state.advancedEditorMessages.push({
error: i18n.translate(
'xpack.ml.dataframe.analytics.create.advancedEditorMessage.modelMemoryLimitEmpty',
{
defaultMessage: 'The model memory limit field must not be empty.',
}
),
message: '',
});
}

if (!state.form.modelMemoryLimitUnitValid) {
state.advancedEditorMessages.push({
error: mmlUnitInvalidErrorMessage,
message: '',
});
}

state.isValid =
state.form.modelMemoryLimitUnitValid &&
!jobIdEmpty &&
jobIdValid &&
!jobIdExists &&
Expand All @@ -135,6 +179,7 @@ export const validateAdvancedEditor = (state: State): State => {
!destinationIndexNameEmpty &&
destinationIndexNameValid &&
!dependentVariableEmpty &&
!modelMemoryLimitEmpty &&
(!destinationIndexPatternTitleExists || !createIndexPattern);

return state;
Expand All @@ -153,11 +198,19 @@ const validateForm = (state: State): State => {
destinationIndexPatternTitleExists,
createIndexPattern,
dependentVariable,
modelMemoryLimit,
} = state.form;

const dependentVariableEmpty = jobType === JOB_TYPES.REGRESSION && dependentVariable === '';
const modelMemoryLimitEmpty = modelMemoryLimit === '';

if (!modelMemoryLimitEmpty && modelMemoryLimit !== undefined) {
const { valid } = validateModelMemoryLimitUnits(modelMemoryLimit);
state.form.modelMemoryLimitUnitValid = valid;
}

state.isValid =
state.form.modelMemoryLimitUnitValid &&
!jobIdEmpty &&
jobIdValid &&
!jobIdExists &&
Expand All @@ -166,6 +219,7 @@ const validateForm = (state: State): State => {
!destinationIndexNameEmpty &&
destinationIndexNameValid &&
!dependentVariableEmpty &&
!modelMemoryLimitEmpty &&
(!destinationIndexPatternTitleExists || !createIndexPattern);

return state;
Expand Down
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