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AddAnomalyDetector.tsx
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/*
* Copyright OpenSearch Contributors
* SPDX-License-Identifier: Apache-2.0
*/
import React, { useState, useEffect, Fragment } from 'react';
import {
EuiFlyoutHeader,
EuiFlyoutBody,
EuiFlyoutFooter,
EuiTitle,
EuiSmallButton,
EuiFormFieldset,
EuiCheckableCard,
EuiSpacer,
EuiIcon,
EuiText,
EuiCompressedSwitch,
EuiCompressedFormRow,
EuiCompressedFieldText,
EuiCompressedCheckbox,
EuiFlexItem,
EuiFlexGroup,
EuiCompressedFieldNumber,
EuiCallOut,
EuiSmallButtonEmpty,
EuiPanel,
} from '@elastic/eui';
import './styles.scss';
import {
createAugmentVisSavedObject,
fetchVisEmbeddable,
ISavedAugmentVis,
ISavedPluginResource,
SavedAugmentVisLoader,
VisLayerExpressionFn,
VisLayerTypes,
} from '../../../../../../src/plugins/vis_augmenter/public';
import { useDispatch } from 'react-redux';
import { isEmpty, get } from 'lodash';
import {
Field,
FieldArray,
FieldArrayRenderProps,
FieldProps,
Formik,
} from 'formik';
import {
createDetector,
getDetectorCount,
matchDetector,
startDetector,
} from '../../../../public/redux/reducers/ad';
import {
EmbeddableRenderer,
ErrorEmbeddable,
} from '../../../../../../src/plugins/embeddable/public';
import './styles.scss';
import EnhancedAccordion from '../EnhancedAccordion';
import MinimalAccordion from '../MinimalAccordion';
import { DataFilterList } from '../../../../public/pages/DefineDetector/components/DataFilterList/DataFilterList';
import {
getError,
getErrorMessage,
isInvalid,
validateDetectorName,
validateNonNegativeInteger,
validatePositiveInteger,
} from '../../../../public/utils/utils';
import {
CUSTOM_AD_RESULT_INDEX_PREFIX,
MAX_DETECTORS,
} from '../../../../server/utils/constants';
import {
focusOnFirstWrongFeature,
initialFeatureValue,
validateFeatures,
} from '../../../../public/pages/ConfigureModel/utils/helpers';
import {
getIndices,
getMappings,
} from '../../../../public/redux/reducers/opensearch';
import { formikToDetector } from '../../../../public/pages/ReviewAndCreate/utils/helpers';
import { FormattedFormRow } from '../../../../public/components/FormattedFormRow/FormattedFormRow';
import { FeatureAccordion } from '../../../../public/pages/ConfigureModel/components/FeatureAccordion';
import {
AD_DOCS_LINK,
AD_HIGH_CARDINALITY_LINK,
DEFAULT_SHINGLE_SIZE,
MAX_FEATURE_NUM,
} from '../../../../public/utils/constants';
import {
getEmbeddable,
getNotifications,
getSavedFeatureAnywhereLoader,
getUISettings,
getUiActions,
getQueryService,
getSavedObjectsClient,
} from '../../../../public/services';
import { prettifyErrorMessage } from '../../../../server/utils/helpers';
import {
ORIGIN_PLUGIN_VIS_LAYER,
OVERLAY_ANOMALIES,
VIS_LAYER_PLUGIN_TYPE,
PLUGIN_AUGMENTATION_ENABLE_SETTING,
PLUGIN_AUGMENTATION_MAX_OBJECTS_SETTING,
} from '../../../../public/expressions/constants';
import { formikToDetectorName, visFeatureListToFormik } from './helpers';
import { AssociateExisting } from './AssociateExisting';
import { mountReactNode } from '../../../../../../src/core/public/utils';
import { FLYOUT_MODES } from '../AnywhereParentFlyout/constants';
import { DetectorListItem } from '../../../../public/models/interfaces';
import { VisualizeEmbeddable } from '../../../../../../src/plugins/visualizations/public';
interface References {
id: string;
name: string;
type: string;
}
function AddAnomalyDetector({
embeddable,
closeFlyout,
mode,
setMode,
selectedDetector,
setSelectedDetector,
}) {
const dispatch = useDispatch();
const [queryText, setQueryText] = useState('');
const [generatedEmbeddable, setGeneratedEmbeddable] = useState<
VisualizeEmbeddable | ErrorEmbeddable
>();
const indexPatternId = embeddable.vis.data.aggs.indexPattern.id;
const [dataSourceId, setDataSourceId] = useState<string | undefined>(undefined);
async function getDataSourceId() {
try {
const indexPattern = await getSavedObjectsClient().get('index-pattern', indexPatternId);
const refs = indexPattern.references as References[];
const foundDataSourceId = refs.find(ref => ref.type === 'data-source')?.id;
setDataSourceId(foundDataSourceId);
} catch (error) {
console.error("Error fetching index pattern:", error);
}
}
// useEffect to dispatch actions once dataSourceId fetch is complete
useEffect(() => {
async function fetchData() {
await getDataSourceId();
const getIndicesDispatchCall = dispatch(getIndices(queryText, dataSourceId));
const getMappingDispatchCall = dispatch(getMappings(embeddable.vis.data.aggs.indexPattern.title, dataSourceId));
await Promise.all([getIndicesDispatchCall, getMappingDispatchCall]);
}
async function createEmbeddable() {
const visEmbeddable = await fetchVisEmbeddable(
embeddable.vis.id,
getEmbeddable(),
getQueryService()
);
setGeneratedEmbeddable(visEmbeddable);
}
fetchData();
createEmbeddable();
}, [dataSourceId]);
const [isShowVis, setIsShowVis] = useState(false);
const [accordionsOpen, setAccordionsOpen] = useState({ modelFeatures: true });
const [detectorNameFromVis, setDetectorNameFromVis] = useState(
formikToDetectorName(embeddable.vis.title)
);
const [intervalValue, setIntervalalue] = useState(10);
const [delayValue, setDelayValue] = useState(1);
const [enabled, setEnabled] = useState<boolean>(false);
const [associationLimitReached, setAssociationLimitReached] =
useState<boolean>(false);
const title = embeddable.getTitle();
const onAccordionToggle = (key) => {
const newAccordionsOpen = { ...accordionsOpen };
newAccordionsOpen[key] = !accordionsOpen[key];
setAccordionsOpen(newAccordionsOpen);
};
const onDetectorNameChange = (e, field) => {
field.onChange(e);
setDetectorNameFromVis(e.target.value);
};
const onIntervalChange = (e, field) => {
field.onChange(e);
setIntervalalue(e.target.value);
};
const onDelayChange = (e, field) => {
field.onChange(e);
setDelayValue(e.target.value);
};
const aggList = embeddable.vis.data.aggs.aggs.filter(
(feature) => feature.schema == 'metric'
);
const featureList = aggList.filter(
(feature, index) =>
index <
(aggList.length < MAX_FEATURE_NUM ? aggList.length : MAX_FEATURE_NUM)
);
const notifications = getNotifications();
const handleValidationAndSubmit = (formikProps) => {
if (formikProps.values.featureList.length !== 0) {
formikProps.setFieldTouched('featureList', true);
formikProps.validateForm().then(async (errors) => {
if (!isEmpty(errors)) {
focusOnFirstWrongFeature(errors, formikProps.setFieldTouched);
notifications.toasts.addDanger(
'One or more input fields is invalid.'
);
} else {
const isAugmentationEnabled = uiSettings.get(
PLUGIN_AUGMENTATION_ENABLE_SETTING
);
if (!isAugmentationEnabled) {
notifications.toasts.addDanger(
'Visualization augmentation is disabled, please enable visualization:enablePluginAugmentation.'
);
} else {
const maxAssociatedCount = uiSettings.get(
PLUGIN_AUGMENTATION_MAX_OBJECTS_SETTING
);
await savedObjectLoader
.findAll('', 100, [], {
type: 'visualization',
id: embeddable.vis.id as string,
})
.then(async (resp) => {
if (resp !== undefined) {
const savedObjectsForThisVisualization = get(
resp,
'hits',
[]
);
if (
maxAssociatedCount <=
savedObjectsForThisVisualization.length
) {
notifications.toasts.addDanger(
`Cannot create the detector and associate it to the visualization due to the limit of the max
amount of associated plugin resources (${maxAssociatedCount}) with
${savedObjectsForThisVisualization.length} associated to the visualization`
);
} else {
handleSubmit(formikProps);
}
}
});
}
}
});
} else {
notifications.toasts.addDanger('One or more features are required.');
}
};
const uiSettings = getUISettings();
const savedObjectLoader: SavedAugmentVisLoader =
getSavedFeatureAnywhereLoader();
let maxAssociatedCount = uiSettings.get(
PLUGIN_AUGMENTATION_MAX_OBJECTS_SETTING
);
useEffect(async () => {
// Gets all augmented saved objects
await savedObjectLoader
.findAll('', 100, [], {
type: 'visualization',
id: embeddable.vis.id as string,
})
.then(async (resp) => {
if (resp !== undefined) {
const savedObjectsForThisVisualization = get(resp, 'hits', []);
if (maxAssociatedCount <= savedObjectsForThisVisualization.length) {
setAssociationLimitReached(true);
} else {
setAssociationLimitReached(false);
}
}
});
}, []);
const getEmbeddableSection = () => {
return (
<>
<EuiText size="xs">
<p>
Create and configure an anomaly detector to automatically detect
anomalies in your data and to view real-time results on the
visualization.{' '}
<a href={AD_DOCS_LINK} target="_blank">
Learn more <EuiIcon type="popout" />
</a>
</p>
</EuiText>
<EuiSpacer size="m" />
<div className="create-new__title-and-toggle">
<EuiTitle size="xxs">
<h4>
<EuiIcon type="visLine" className="create-new__title-icon" />
{title}
</h4>
</EuiTitle>
<EuiCompressedSwitch
label="Show visualization"
checked={isShowVis}
onChange={() => setIsShowVis(!isShowVis)}
/>
</div>
<div
className={`create-new__vis ${
!isShowVis && 'create-new__vis--hidden'
}`}
>
<EuiSpacer size="s" />
<EmbeddableRenderer embeddable={embeddable} />
</div>
</>
);
};
const getAugmentVisSavedObject = (detectorId: string) => {
const fn = {
type: VisLayerTypes.PointInTimeEvents,
name: OVERLAY_ANOMALIES,
args: {
detectorId: detectorId,
dataSourceId: dataSourceId
},
} as VisLayerExpressionFn;
const pluginResource = {
type: VIS_LAYER_PLUGIN_TYPE,
id: detectorId,
} as ISavedPluginResource;
return {
title: embeddable.vis.title,
originPlugin: ORIGIN_PLUGIN_VIS_LAYER,
pluginResource: pluginResource,
visId: embeddable.vis.id,
visLayerExpressionFn: fn,
} as ISavedAugmentVis;
};
// Error handeling/notification cases listed here as many things are being done sequentially
//1. if detector is created succesfully, started succesfully and associated succesfully and alerting exists -> show end message with alerting button
//2. If detector is created succesfully, started succesfully and associated succesfully and alerting doesn't exist -> show end message with OUT alerting button
//3. If detector is created succesfully, started succesfully and fails association -> show one toast with detector created, and one toast with failed association
//4. If detector is created succesfully, fails starting and fails association -> show one toast with detector created succesfully, one toast with failed association
//5. If detector is created successfully, fails starting and fails associating -> show one toast with detector created succesfully, one toast with fail starting, one toast with failed association
//6. If detector fails creating -> show one toast with detector failed creating
const handleSubmit = async (formikProps) => {
formikProps.setSubmitting(true);
try {
const detectorToCreate = formikToDetector(formikProps.values);
await dispatch(createDetector(detectorToCreate, dataSourceId))
.then(async (response) => {
dispatch(startDetector(response.response.id, dataSourceId))
.then((startDetectorResponse) => {})
.catch((err: any) => {
notifications.toasts.addDanger(
prettifyErrorMessage(
getErrorMessage(
err,
'There was a problem starting the real-time detector'
)
)
);
});
const detectorId = response.response.id;
const augmentVisSavedObjectToCreate: ISavedAugmentVis =
getAugmentVisSavedObject(detectorId);
await createAugmentVisSavedObject(
augmentVisSavedObjectToCreate,
savedObjectLoader,
uiSettings
)
.then((savedObject: any) => {
savedObject
.save({})
.then((response: any) => {
const shingleSize = get(
formikProps.values,
'shingleSize',
DEFAULT_SHINGLE_SIZE
);
const detectorId = get(savedObject, 'pluginResource.id', '');
notifications.toasts.addSuccess({
title: `The ${formikProps.values.name} is associated with the ${title} visualization`,
text: mountReactNode(
getEverythingSuccessfulButton(detectorId, shingleSize)
),
className: 'createdAndAssociatedSuccessToast',
});
closeFlyout();
})
.catch((error) => {
console.error(
`Error associating selected detector in save process: ${error}`
);
notifications.toasts.addDanger(
prettifyErrorMessage(
`Error associating selected detector in save process: ${error}`
)
);
notifications.toasts.addSuccess(
`Detector created: ${formikProps.values.name}`
);
});
})
.catch((error) => {
console.error(
`Error associating selected detector in create process: ${error}`
);
notifications.toasts.addDanger(
prettifyErrorMessage(
`Error associating selected detector in create process: ${error}`
)
);
notifications.toasts.addSuccess(
`Detector created: ${formikProps.values.name}`
);
});
})
.catch((err: any) => {
dispatch(getDetectorCount(dataSourceId)).then((response: any) => {
const totalDetectors = get(response, 'response.count', 0);
if (totalDetectors === MAX_DETECTORS) {
notifications.toasts.addDanger(
'Cannot create detector - limit of ' +
MAX_DETECTORS +
' detectors reached'
);
} else {
notifications.toasts.addDanger(
prettifyErrorMessage(
getErrorMessage(
err,
'There was a problem creating the detector'
)
)
);
}
});
});
closeFlyout();
} catch (e) {
} finally {
formikProps.setSubmitting(false);
}
};
const getEverythingSuccessfulButton = (detectorId, shingleSize) => {
return (
<EuiText size="s">
<p>
Attempting to initialize the detector with historical data. This
initializing process takes approximately 1 minute if you have data in
each of the last {32 + shingleSize} consecutive intervals.
</p>
{alertingExists() ? (
<EuiFlexGroup>
<EuiFlexItem>
<p>Set up alerts to be notified of any anomalies.</p>
</EuiFlexItem>
<EuiFlexItem grow={false}>
<div>
<EuiSmallButton onClick={() => openAlerting(detectorId)}>
Set up alerts
</EuiSmallButton>
</div>
</EuiFlexItem>
</EuiFlexGroup>
) : null}
</EuiText>
);
};
const alertingExists = () => {
try {
const uiActionService = getUiActions();
uiActionService.getTrigger('ALERTING_TRIGGER_AD_ID');
return true;
} catch (e) {
console.error('No alerting trigger exists', e);
return false;
}
};
const openAlerting = (detectorId: string) => {
const uiActionService = getUiActions();
uiActionService
.getTrigger('ALERTING_TRIGGER_AD_ID')
.exec({ embeddable, detectorId });
};
const handleAssociate = async (detector: DetectorListItem) => {
const augmentVisSavedObjectToCreate: ISavedAugmentVis =
getAugmentVisSavedObject(detector.id);
createAugmentVisSavedObject(
augmentVisSavedObjectToCreate,
savedObjectLoader,
uiSettings
)
.then((savedObject: any) => {
savedObject
.save({})
.then((response: any) => {
notifications.toasts.addSuccess({
title: `The ${detector.name} is associated with the ${title} visualization`,
text: "The detector's anomalies do not appear on the visualization. Refresh your dashboard to update the visualization",
});
closeFlyout();
})
.catch((error) => {
notifications.toasts.addDanger(prettifyErrorMessage(error));
});
})
.catch((error) => {
notifications.toasts.addDanger(prettifyErrorMessage(error));
});
};
const validateVisDetectorName = async (detectorName: string) => {
if (isEmpty(detectorName)) {
return 'Detector name cannot be empty';
} else {
const error = validateDetectorName(detectorName);
if (error) {
return error;
}
const resp = await dispatch(matchDetector(detectorName, dataSourceId));
const match = get(resp, 'response.match', false);
if (!match) {
return undefined;
}
//If more than one detectors found, duplicate exists.
if (match) {
return 'Duplicate detector name';
}
}
};
const initialDetectorValue = {
name: detectorNameFromVis,
index: [{ label: embeddable.vis.data.aggs.indexPattern.title }],
timeField: embeddable.vis.data.indexPattern.timeFieldName,
interval: intervalValue,
windowDelay: delayValue,
shingleSize: 8,
filterQuery: { match_all: {} },
description: 'Created based on ' + embeddable.vis.title,
resultIndex: undefined,
filters: [],
featureList: visFeatureListToFormik(
featureList,
embeddable.vis.params.seriesParams
),
categoryFieldEnabled: false,
realTime: true,
historical: false,
};
return (
<div className="add-anomaly-detector">
<Formik
initialValues={initialDetectorValue}
onSubmit={handleSubmit}
validateOnChange={true}
validate={validateFeatures}
>
{(formikProps) => (
<>
<EuiFlyoutHeader hasBorder>
<EuiText size="s">
<h2 id="add-anomaly-detector__title">Add anomaly detector</h2>
</EuiText>
</EuiFlyoutHeader>
<EuiFlyoutBody>
{associationLimitReached ? (
<div>
<EuiCallOut
title={`Limit reached. No more than ${maxAssociatedCount} objects can be associated with a visualization`}
style={{ marginBottom: '8px' }}
size="s"
color="warning"
iconType="alert"
>
Adding more objects may affect cluster performance and
prevent dashboards from rendering properly. Remove
associations before adding new ones.
</EuiCallOut>
{getEmbeddableSection()}
</div>
) : (
<div className="add-anomaly-detector__scroll">
<EuiFormFieldset
legend={{
display: 'hidden',
children: (
<EuiTitle>
<span>
Options to create a new detector or associate an
existing detector
</span>
</EuiTitle>
),
}}
className="add-anomaly-detector__modes"
>
{[
{
id: 'add-anomaly-detector__create',
label: 'Create new detector',
value: 'create',
},
{
id: 'add-anomaly-detector__existing',
label: 'Associate existing detector',
value: 'existing',
},
].map((option) => (
<EuiCheckableCard
{...{
...option,
key: option.id,
name: option.id,
checked: option.value === mode,
onChange: () => setMode(option.value),
}}
/>
))}
</EuiFormFieldset>
<EuiSpacer size="m" />
{mode === FLYOUT_MODES.existing && (
<AssociateExisting
embeddableVisId={embeddable.vis.id}
selectedDetector={selectedDetector}
setSelectedDetector={setSelectedDetector}
indexPatternId={indexPatternId}
></AssociateExisting>
)}
{mode === FLYOUT_MODES.create && (
<div className="create-new">
{getEmbeddableSection()}
<EuiSpacer size="l" />
<EuiTitle size="s">
<h3>Detector details</h3>
</EuiTitle>
<EuiSpacer size="m" />
<EnhancedAccordion
id="detectorDetailsAccordion"
title={detectorNameFromVis}
isOpen={accordionsOpen.detectorDetails}
onToggle={() => onAccordionToggle('detectorDetails')}
subTitle={
<EuiText size="s">
<p>
Detector interval: {intervalValue} minute(s);
Window delay: {delayValue} minute(s)
</p>
</EuiText>
}
>
<Field name="name" validate={validateVisDetectorName}>
{({ field, form }: FieldProps) => (
<FormattedFormRow
title="Name"
isInvalid={isInvalid(field.name, form)}
error={getError(field.name, form)}
>
<EuiCompressedFieldText
data-test-subj="detectorNameTextInputFlyout"
isInvalid={isInvalid(field.name, form)}
{...field}
onChange={(e) => onDetectorNameChange(e, field)}
/>
</FormattedFormRow>
)}
</Field>
<EuiSpacer size="s" />
<Field
name="interval"
validate={validatePositiveInteger}
>
{({ field, form }: FieldProps) => (
<EuiFlexGroup>
<EuiFlexItem style={{ maxWidth: '70%' }}>
<FormattedFormRow
fullWidth
title="Detector interval"
isInvalid={isInvalid(field.name, form)}
error={getError(field.name, form)}
>
<EuiFlexGroup
gutterSize="s"
alignItems="center"
>
<EuiFlexItem grow={false}>
<EuiCompressedFieldNumber
id="detectionInterval"
placeholder="Detector interval"
data-test-subj="detectionInterval"
min={1}
{...field}
onChange={(e) =>
onIntervalChange(e, field)
}
/>
</EuiFlexItem>
<EuiFlexItem>
<EuiText>
<p className="minutes">minute(s)</p>
</EuiText>
</EuiFlexItem>
</EuiFlexGroup>
</FormattedFormRow>
</EuiFlexItem>
</EuiFlexGroup>
)}
</Field>
<EuiSpacer size="s" />
<Field
name="windowDelay"
validate={validateNonNegativeInteger}
>
{({ field, form }: FieldProps) => (
<FormattedFormRow
fullWidth
title="Window delay"
isInvalid={isInvalid(field.name, form)}
error={getError(field.name, form)}
>
<EuiFlexGroup gutterSize="s" alignItems="center">
<EuiFlexItem grow={false}>
<EuiCompressedFieldNumber
id="windowDelay"
placeholder="Window delay"
data-test-subj="windowDelay"
{...field}
onChange={(e) => onDelayChange(e, field)}
/>
</EuiFlexItem>
<EuiFlexItem>
<EuiText>
<p className="minutes">minute(s)</p>
</EuiText>
</EuiFlexItem>
</EuiFlexGroup>
</FormattedFormRow>
)}
</Field>
</EnhancedAccordion>
<EuiSpacer size="m" />
<EnhancedAccordion
id="advancedConfigurationAccordion"
title="Advanced configuration"
isOpen={accordionsOpen.advancedConfiguration}
onToggle={() =>
onAccordionToggle('advancedConfiguration')
}
initialIsOpen={false}
>
<EuiSpacer size="s" />
<MinimalAccordion
id="dataFilter"
title="Data Filter"
subTitle="Choose a data source subset to focus the data stream and reduce data noise."
>
<EuiSpacer size="s" />
<EuiText size="xs">
<p>
Source:{' '}
{embeddable.vis.data.aggs.indexPattern.title}
</p>
</EuiText>
<EuiSpacer size="s" />
<DataFilterList formikProps={formikProps} />
</MinimalAccordion>
<MinimalAccordion
id="shingleSize"
title="Shingle size"
subTitle="Set number of intervals in the model's detection window."
isUsingDivider={true}
>
<EuiSpacer size="m" />
<Field
name="shingleSize"
validate={validatePositiveInteger}
>
{({ field, form }: FieldProps) => (
<FormattedFormRow
title="Shingle size"
hint={[
`Set the number of intervals to consider in a detection
window for your model. The anomaly detector expects the
shingle size to be in the range of 1 and 60. The default
shingle size is 8. We recommend that you don’t choose 1
unless you have two or more features. Smaller values might
increase recall but also false positives. Larger values
might be useful for ignoring noise in a signal.`,
]}
hintLink={AD_DOCS_LINK}
isInvalid={isInvalid(field.name, form)}
error={getError(field.name, form)}
>
<EuiFlexGroup
gutterSize="s"
alignItems="center"
>
<EuiFlexItem grow={false}>
<EuiCompressedFieldNumber
id="shingleSize"
placeholder="Shingle size"
data-test-subj="shingleSize"
{...field}
/>
</EuiFlexItem>
<EuiFlexItem>
<EuiText>
<p className="minutes">intervals</p>
</EuiText>
</EuiFlexItem>
</EuiFlexGroup>
</FormattedFormRow>
)}
</Field>
</MinimalAccordion>
<MinimalAccordion
id="customResultIndex"
title="Custom result index"
subTitle="Store detector results to our own index."
isUsingDivider={true}
>
<Field name="resultIndex">
{({ field, form }: FieldProps) => (
<EuiFlexGroup direction="column">
<EuiFlexItem>
<EuiCompressedCheckbox
id={'resultIndexCheckbox'}
label="Enable custom result index"
checked={enabled}
onChange={() => {
if (enabled) {
form.setFieldValue('resultIndex', '');
}
setEnabled(!enabled);
}}
/>
</EuiFlexItem>
{enabled ? (
<EuiFlexItem>
<EuiCallOut
data-test-subj="cannotEditResultIndexCallout"
title="You can't change the custom result index after you create the detector. You can manage the result index with the Index Management plugin."
color="warning"
iconType="alert"
size="s"
></EuiCallOut>
</EuiFlexItem>
) : null}
{enabled ? (
<EuiFlexItem>
<EuiCompressedFormRow
label="Field"
isInvalid={isInvalid(field.name, form)}
helpText={`Custom result index name must contain less than 255 characters including the prefix "opensearch-ad-plugin-result-". Valid characters are a-z, 0-9, -(hyphen) and _(underscore).`}
>
<EuiCompressedFieldText
id="resultIndex"
placeholder="Enter result index name"
prepend={CUSTOM_AD_RESULT_INDEX_PREFIX}
{...field}
/>
</EuiCompressedFormRow>
</EuiFlexItem>
) : null}
</EuiFlexGroup>
)}
</Field>
</MinimalAccordion>
<MinimalAccordion
id="categoricalFields"
title="Categorical fields"
subTitle="Split a single time series into multiple time series based on categorical fields."
isUsingDivider={true}
>
<EuiText size="s">
<p>
The dashboard does not support high-cardinality
detectors.
<a
href={AD_HIGH_CARDINALITY_LINK}
target="_blank"
>
Learn more <EuiIcon type="popout" />
</a>
</p>
</EuiText>
</MinimalAccordion>
</EnhancedAccordion>
<EuiSpacer size="l" />
<EuiTitle size="s">
<h3>Model Features</h3>
</EuiTitle>
<EuiSpacer size="m" />
<EnhancedAccordion
id="modelFeaturesAccordion"
title="Features"
isOpen={accordionsOpen.modelFeatures}
onToggle={() => onAccordionToggle('modelFeatures')}
>
<FieldArray name="featureList">
{({
push,
remove,
form: { values },
}: FieldArrayRenderProps) => {
return (
<Fragment>
{values.featureList.map(
(feature: any, index: number) => (
<FeatureAccordion
onDelete={() => {
remove(index);
}}
index={index}
feature={feature}
handleChange={formikProps.handleChange}
displayMode="flyout"
/>
)
)}
<EuiSpacer size="m" />
<EuiPanel paddingSize="none">
<EuiSmallButton
className="featureButton"
data-test-subj="addFeature"
isDisabled={
values.featureList.length >=
MAX_FEATURE_NUM
}
onClick={() => {
push(initialFeatureValue());
}}
>
Add another feature
</EuiSmallButton>
</EuiPanel>
<EuiSpacer size="s" />
<EuiText className="content-panel-subTitle">
<p>
You can add up to{' '}
{Math.max(
MAX_FEATURE_NUM -
values.featureList.length,
0
)}{' '}
more features.
</p>
</EuiText>
</Fragment>
);
}}
</FieldArray>
</EnhancedAccordion>
<EuiSpacer size="m" />
</div>
)}
</div>
)}
</EuiFlyoutBody>
<EuiFlyoutFooter>