[ML] Convert Explorer Influencers List to EUI/React (#18773)
* [ML] Convert Explorer Influencers List to EUI/React * [ML] Remove unused abbreviate_whole_number Angular filter * [ML] Convert React Influencers List to stateless function
This commit is contained in:
parent
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5de7909350
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@ -5,7 +5,5 @@
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*/
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import './influencers_list_directive';
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import './styles/main.less';
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@ -1,51 +0,0 @@
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<div class="ml-influencers-list">
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<div ng-if="showNoResultsMessage()" class="text-center visualize-error">
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<div class="item top"></div>
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<div class="item">
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<h4 class="euiTitle euiTitle--small">No influencers found</h4>
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</div>
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<div class="item bottom"></div>
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</div>
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<div ng-repeat="(influencerfieldname, groupData) in influencers">
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<div class="section-label">{{influencerfieldname}}</div>
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<div ng-repeat="influencer in groupData" class="influencer-content">
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<div class="field-label">
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<div ng-if="influencerfieldname !== 'mlcategory'" class="influencerfieldvalue">{{influencer.influencerFieldValue}}</div>
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<div ng-if="influencerfieldname === 'mlcategory'" class="influencerfieldvalue">mlcategory {{influencer.influencerFieldValue}}</div>
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<div class="filter-buttons" style="display: none;">
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<i ng-click="filter(influencerfieldname, influencer.influencerFieldValue, '+')"
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tooltip="Filter for value" tooltip-append-to-body="1" class="fa fa-search-plus"></i>
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<i ng-click="filter(influencerfieldname, influencer.influencerFieldValue, '-')"
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tooltip="Filter out value" tooltip-append-to-body="1" class="fa fa-search-minus"></i>
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</div>
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</div>
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<div class="progress" value="{{influencer.barScore}}" max="100">
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<div class="progress-bar-holder">
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<div class="progress-bar {{influencer.severity}}" ng-attr-style="width: {{influencer.barScore}}%;"
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tooltip-placement="{{tooltipPlacement}}" tooltip-html-unsafe="{{influencer.tooltip}}" tooltip-append-to-body="true">
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</div>
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</div>
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<span class="score-label">{{influencer.maxScoreLabel}}</span>
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</div>
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<div ng-if="influencer.totalScore > 0" class="score-label total-score-label" tooltip-placement="{{tooltipPlacement}}" tooltip-html-unsafe="{{influencer.tooltip}}" tooltip-append-to-body="true">
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{{influencer.totalScore | abbreviateWholeNumber:4}}
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</div>
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<div ng-if="influencer.totalScore === 0" class="score-label total-score-label" tooltip-placement="{{tooltipPlacement}}" tooltip-html-unsafe="{{influencer.tooltip}}" tooltip-append-to-body="true">
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< 1
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</div>
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</div>
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</div>
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</div>
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@ -0,0 +1,150 @@
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/*
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* Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
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* or more contributor license agreements. Licensed under the Elastic License;
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* you may not use this file except in compliance with the Elastic License.
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*/
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/*
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* React component for rendering a list of Machine Learning influencers.
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*/
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import PropTypes from 'prop-types';
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import React from 'react';
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import {
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EuiFlexGroup,
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EuiFlexItem,
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EuiSpacer,
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EuiText,
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EuiTitle,
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EuiToolTip
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} from '@elastic/eui';
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import { abbreviateWholeNumber } from 'plugins/ml/formatters/abbreviate_whole_number';
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import { getSeverity } from 'plugins/ml/util/anomaly_utils';
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function getTooltipContent(maxScoreLabel, totalScoreLabel) {
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return (
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<React.Fragment>
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<p>Maximum anomaly score: {maxScoreLabel}</p>
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<p>Total anomaly score: {totalScoreLabel}</p>
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</React.Fragment>
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);
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}
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function Influencer({ influencerFieldName, valueData }) {
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const maxScorePrecise = valueData.maxAnomalyScore;
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const maxScore = parseInt(maxScorePrecise);
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const maxScoreLabel = (maxScore !== 0) ? maxScore : '< 1';
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const severity = getSeverity(maxScore);
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const totalScore = parseInt(valueData.sumAnomalyScore);
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const totalScoreLabel = (totalScore !== 0) ? totalScore : '< 1';
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// Ensure the bar has some width for 0 scores.
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const barScore = (maxScore !== 0) ? maxScore : 1;
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const barStyle = {
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width: `${barScore}%`
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};
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const tooltipContent = getTooltipContent(maxScoreLabel, totalScoreLabel);
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return (
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<div>
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<div className="field-label">
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{(influencerFieldName !== 'mlcategory') ? (
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<div className="field-value">{valueData.influencerFieldValue}</div>
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) : (
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<div className="field-value">mlcategory {valueData.influencerFieldValue}</div>
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)}
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</div>
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<div className={`progress ${severity}`} value="{valueData.maxAnomalyScore}" max="100">
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<div className="progress-bar-holder">
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<div className="progress-bar" style={barStyle}/>
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</div>
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<div className="score-label">
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<EuiToolTip
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position="right"
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className="ml-influencers-list-tooltip"
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title={`${influencerFieldName}: ${valueData.influencerFieldValue}`}
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content={tooltipContent}
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>
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<span>{maxScoreLabel}</span>
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</EuiToolTip>
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</div>
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</div>
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<div className="total-score-label">
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<EuiToolTip
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position="right"
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className="ml-influencers-list-tooltip"
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title={`${influencerFieldName}: ${valueData.influencerFieldValue}`}
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content={tooltipContent}
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>
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<span>{(totalScore > 0) ? abbreviateWholeNumber(totalScore, 4) : totalScoreLabel}</span>
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</EuiToolTip>
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</div>
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</div>
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);
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}
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Influencer.propTypes = {
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influencerFieldName: PropTypes.string.isRequired,
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valueData: PropTypes.object.isRequired
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};
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function InfluencersByName({ influencerFieldName, fieldValues }) {
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const influencerValues = fieldValues.map(valueData => (
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<Influencer
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key={valueData.influencerFieldValue}
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influencerFieldName={influencerFieldName}
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valueData={valueData}
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/>
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));
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return (
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<React.Fragment key={influencerFieldName}>
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<EuiTitle size="xs">
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<h4>{influencerFieldName}</h4>
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</EuiTitle>
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<EuiSpacer size="xs"/>
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{influencerValues}
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</React.Fragment>
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);
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}
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InfluencersByName.propTypes = {
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influencerFieldName: PropTypes.string.isRequired,
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fieldValues: PropTypes.array.isRequired
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};
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export function InfluencersList({ influencers }) {
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if (influencers === undefined || Object.keys(influencers).length === 0) {
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return (
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<EuiFlexGroup justifyContent="spaceAround">
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<EuiFlexItem grow={false}>
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<EuiSpacer size="xxl" />
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<EuiText>
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<h4>No influencers found</h4>
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</EuiText>
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</EuiFlexItem>
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</EuiFlexGroup>
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);
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}
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const influencersByName = Object.keys(influencers).map(influencerFieldName => (
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<InfluencersByName
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key={influencerFieldName}
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influencerFieldName={influencerFieldName}
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fieldValues={influencers[influencerFieldName]}
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/>
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));
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return (
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<div className="ml-influencers-list">
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{influencersByName}
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</div>
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);
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}
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InfluencersList.propTypes = {
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influencers: PropTypes.object
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};
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*/
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/*
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* AngularJS directive for rendering a list of Machine Learning influencers.
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*/
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import _ from 'lodash';
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import 'plugins/ml/lib/angular_bootstrap_patch';
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import 'plugins/ml/formatters/abbreviate_whole_number';
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import template from './influencers_list.html';
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import { getSeverity } from 'plugins/ml/util/anomaly_utils';
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import { mlEscape } from 'plugins/ml/util/string_utils';
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import { FilterManagerProvider } from 'ui/filter_manager';
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import 'ngreact';
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import { uiModules } from 'ui/modules';
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const module = uiModules.get('apps/ml');
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const module = uiModules.get('apps/ml', ['react']);
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module.directive('mlInfluencersList', function (Private) {
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import { InfluencersList } from './influencers_list';
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const filterManager = Private(FilterManagerProvider);
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module.directive('mlInfluencersList', function ($injector) {
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const reactDirective = $injector.get('reactDirective');
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function link(scope, element) {
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scope.$on('render', function () {
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render();
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});
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element.on('$destroy', function () {
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scope.$destroy();
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});
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scope.tooltipPlacement = scope.tooltipPlacement === undefined ? 'top' : scope.tooltipPlacement;
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function render() {
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if (scope.influencersData === undefined) {
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return;
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}
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const dataByViewBy = {};
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// TODO - position tooltip so it doesn't go off edge of window.
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const compiledTooltip = _.template(
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'<div class="ml-influencers-list-tooltip"><%= influencerFieldName %>: <%= influencerFieldValue %>' +
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'<hr/>Max anomaly score: <%= maxScoreLabel %>' +
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'<hr/>Total anomaly score: <%= totalScoreLabel %></div>');
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_.each(scope.influencersData, (fieldValues, influencerFieldName) => {
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const valuesForViewBy = [];
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_.each(fieldValues, function (valueData) {
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const influencerFieldValue = valueData.influencerFieldValue;
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const maxScorePrecise = valueData.maxAnomalyScore;
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const maxScore = parseInt(maxScorePrecise);
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const totalScore = parseInt(valueData.sumAnomalyScore);
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const barScore = maxScore !== 0 ? maxScore : 1;
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const maxScoreLabel = maxScore !== 0 ? maxScore : '< 1';
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const totalScoreLabel = totalScore !== 0 ? totalScore : '< 1';
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const severity = getSeverity(maxScore);
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// Store the data for each influencerfieldname in an array to ensure
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// reliable sorting by max score.
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// If it was sorted as an object, the order when rendered using the AngularJS
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// ngRepeat directive could not be relied upon to be the same as they were
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// returned in the ES aggregation e.g. for numeric keys from a mlcategory influencer.
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valuesForViewBy.push({
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influencerFieldValue,
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maxScorePrecise,
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barScore,
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maxScoreLabel,
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totalScore,
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severity,
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tooltip: compiledTooltip({
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influencerFieldName: mlEscape(influencerFieldName),
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influencerFieldValue: mlEscape(influencerFieldValue),
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maxScoreLabel,
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totalScoreLabel
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})
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});
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});
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dataByViewBy[influencerFieldName] = _.sortBy(valuesForViewBy, 'maxScorePrecise').reverse();
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});
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scope.influencers = dataByViewBy;
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}
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// Provide a filter function so filters can be added.
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scope.filter = function (field, value, operator) {
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filterManager.add(field, value, operator, scope.indexPatternId);
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};
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scope.showNoResultsMessage = function () {
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return (scope.influencersData === undefined) || (_.keys(scope.influencersData).length === 0);
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};
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}
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return {
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scope: {
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influencersData: '=',
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indexPatternId: '=',
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tooltipPlacement: '@'
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},
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template,
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link: link
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};
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return reactDirective(
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InfluencersList,
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undefined,
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{ restrict: 'E' }
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);
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});
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.ml-influencers-list {
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width: 100%;
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padding: 0px 0px;
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line-height: 1.45;
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.visualize-error {
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display: inline;
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h4 {
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font-size: 16px;
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margin-top: 65px;
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}
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}
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.section-label {
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background-color: #9c9fa6;
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color: #ffffff;
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font-size:13px;
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/* eui h3 equivalent font-weight */
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font-weight: 500;
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margin-bottom: 5px;
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padding: 2px 5px;
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}
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.influencer-content {
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padding-right: 4px;
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padding-left: 4px;
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}
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.field-label {
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font-size: 12px;
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padding-left: 2px;
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text-align: left;
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.influencerfieldvalue {
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max-width: calc(~"100% - 40px");
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.field-value {
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max-width: calc(~"100% - 34px");
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overflow: hidden;
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white-space: nowrap;
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text-overflow: ellipsis;
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display: inline-block;
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vertical-align: bottom;
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}
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.filter-buttons {
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padding-left: 5px;
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display: inline-block;
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vertical-align: bottom;
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}
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}
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.progress {
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display:inline-block;
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width: calc(~"100% - 40px");
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height: 20px;
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width: calc(~"100% - 34px");
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height: 22px;
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min-width: 70px;
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margin-bottom: 2px;
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margin-bottom: 0px;
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color: #555;
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background-color : transparent;
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}
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.progress-bar {
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height: 6px;
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margin: 6px 0px;
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height: 2px;
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margin-top: 8px;
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text-align: right;
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line-height: 18px;
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border-radius: 5px;
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display: inline-block;
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}
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}
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.progress-bar.critical {
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.progress.critical {
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.progress-bar {
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background-color: #fe5050;
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}
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.score-label {
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border-color: #fe5050;
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}
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}
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.progress-bar.major {
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.progress.major {
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.progress-bar {
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background-color: #fba740;
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}
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.score-label {
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border-color: #fba740;
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}
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}
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.progress-bar.minor {
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.progress.minor {
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.progress-bar {
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background-color: #ffdd00;
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}
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.score-label {
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border-color: #ffdd00;
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}
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}
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.progress-bar.warning {
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.progress.warning {
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.progress-bar {
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background-color: #8bc8fb;
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}
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.score-label {
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border-color: #8bc8fb;
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}
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}
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.score-label {
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margin-left: 3px;
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text-align: center;
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color: #444444;
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padding: 2px 2px 2px 2px;
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border-radius: 4px;
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line-height: 14px;
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white-space: nowrap;
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font-size: 12px;
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display: inline-block;
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display: inline;
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margin-left: 4px;
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}
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.score-label.total-score-label {
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.total-score-label {
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width: 32px;
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vertical-align: top;
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background-color: #444444;
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color: white;
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text-align: center;
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color: #555;
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font-size: 11px;
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line-height: 14px;
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border-radius: 4px;
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padding: 2px;
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margin-top: 1px;
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display: inline-block;
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border: 1px solid #bbbbbb;
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}
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}
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.ml-influencers-list-tooltip {
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color: #ffffff;
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font-family: Roboto, Droid, Helvetica Neue, Helvetica, Arial, sans-serif;
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font-size: 12px;
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text-align: left;
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hr {
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margin-top: 3px;
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margin-bottom: 3px;
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border-color: #95a5a6;
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}
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word-break: break-all;
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}
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@ -37,10 +37,8 @@
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Top Influencers
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</span>
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<ml-influencers-list
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influencers-data="influencersData"
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index-pattern-id="indexPatternId"
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||||
tooltip-placement="right">
|
||||
</ml-influencers-list>
|
||||
influencers="influencers"
|
||||
/>
|
||||
</div>
|
||||
|
||||
<div class="column col-xs-10">
|
||||
|
|
|
@ -588,8 +588,8 @@ module.controller('MlExplorerController', function (
|
|||
MAX_INFLUENCER_FIELD_VALUES
|
||||
).then((resp) => {
|
||||
// TODO - sort the influencers keys so that the partition field(s) are first.
|
||||
$scope.influencersData = resp.influencers;
|
||||
console.log('Explorer top influencers data set:', $scope.influencersData);
|
||||
$scope.influencers = resp.influencers;
|
||||
console.log('Explorer top influencers data set:', $scope.influencers);
|
||||
finish(counter);
|
||||
});
|
||||
|
||||
|
|
|
@ -12,9 +12,6 @@
|
|||
*/
|
||||
import numeral from '@elastic/numeral';
|
||||
|
||||
import { uiModules } from 'ui/modules';
|
||||
const module = uiModules.get('apps/ml');
|
||||
|
||||
export function abbreviateWholeNumber(value, maxDigits) {
|
||||
const maxNumDigits = (maxDigits !== undefined ? maxDigits : 3);
|
||||
if (Math.abs(value) < Math.pow(10, maxNumDigits)) {
|
||||
|
@ -23,6 +20,3 @@ export function abbreviateWholeNumber(value, maxDigits) {
|
|||
return numeral(value).format('0a');
|
||||
}
|
||||
}
|
||||
|
||||
// TODO - remove the filter once all uses of the abbreviateWholeNumber Angular filter have been removed.
|
||||
module.filter('abbreviateWholeNumber', () => abbreviateWholeNumber);
|
||||
|
|
Loading…
Reference in a new issue