/*! Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one or more contributor license agreements.
 * Licensed under the Elastic License 2.0; you may not use this file except in compliance with the Elastic License 2.0. */
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0!==v?v.convert(e,"text"):I===g.b.POPULATION_DISTRIBUTION?_.tickFormat()(e):e)).each((function(){f=Math.max(this.getBBox().width+m.tickPadding(),f)})).remove(),c.a.select(".temp-axis-label").remove(),(I===g.b.POPULATION_DISTRIBUTION||I===g.b.EVENT_DISTRIBUTION&&p.length<=10)&&(T.left=Math.max(f,40)),O=i-T.left-T.right,S=c.a.time.scale().range([0,O]).domain([u.plotEarliest,u.plotLatest]),w=c.a.svg.line().x((e=>S(e.date))).y((e=>_(e[M]))).defined((e=>null!==e.value)),E=l.append("g").attr("class","line-chart").attr("transform","translate("+T.left+","+T.top+")"),e}(u),E.append("rect").attr("x",0).attr("y",0).attr("height",k).attr("width",O).style("stroke","#cccccc").style("fill","none").style("stroke-width",1),function(){const t={min:m()(u.plotEarliest),max:m()(u.plotLatest)};r.setBounds(t),r.setInterval("auto");const a=r.getScaledDateFormat(),i=Math.max(u.selectedEarliest,u.plotEarliest),n=u.selectedLatest-u.selectedEarliest+1,l=c.a.svg.axis().scale(S).orient("bottom").innerTickSize(-170).outerTickSize(0).tickPadding(10).tickFormat((e=>m()(e).format(a))),s=!0===e||n>=u.plotLatest-u.plotEarliest;if(!1===s){const e=Object(o.k)(i,n,u.plotEarliest,u.plotLatest);l.tickValues(e)}else l.ticks(Object(o.m)(O,a));const d=c.a.svg.axis().scale(_).orient("left").innerTickSize(0).outerTickSize(0).tickPadding(10);void 0!==v&&d.tickFormat((e=>v.convert(e,"text")));const p=E.append("g"),f=p.append("g").attr("class","x axis").attr("transform","translate(0,170)").call(l);p.append("g").attr("class","y axis").call(d),I===g.b.EVENT_DISTRIBUTION&&p.select(".y").selectAll("text").each((function(e){c.a.select(this).classed("ml-explorer-chart-axis-emphasis",e===N)})),!1===s&&Object(o.n)(f,i,n,O)}(),function(){if(!1===a)return;const e=Math.max(u.selectedEarliest,u.plotEarliest),t=Math.min(u.selectedLatest,u.plotLatest),r=S(t)-S(e);E.append("rect").attr("class","selected-interval").attr("x",S(new Date(e))+2).attr("y",2).attr("rx",3).attr("ry",3).attr("width",r-4).attr("height",166)}(),function(e){var t,r,a;e.append("rect").attr("x",0).attr("y",0).attr("height",k).attr("width",O).on("mouseout",(function(){i({chartId:"ml-anomaly-chart-metric",scale:"time",smHorizontalValue:null,smVerticalValue:null,type:"Out",unit:void 0})})).on("mousemove",(function(){const e=c.a.mouse(this);i({chartId:"ml-anomaly-chart-metric",scale:"time",smHorizontalValue:null,smVerticalValue:null,type:"Over",unit:void 0,x:1e3*m()(S.invert(e[0])).unix()})})).style("fill",j);const o=l&&"Over"===l.type&&l.x>=u.plotEarliest&&l.x<=u.plotLatest?[l.x]:[],s=e.append("g").attr("class","ml-anomaly-chart-cursor").selectAll(".ml-anomaly-chart-cursor-line").data(o);s.enter().append("path").attr("class","ml-anomaly-chart-cursor-line").attr("d",(e=>{const t=S(e);return`M${t},170 ${t},0`})).style("stroke",`${null!==(t=n.crosshair.line.stroke)&&void 0!==t?t:"black"}`).style("stroke-width",`${null!==(r=n.crosshair.line.strokeWidth)&&void 0!==r?r:"1"}px`).style("stroke-dasharray",null!==(a=n.crosshair.line.dash)&&void 0!==a?a:"4,4"),s.exit().remove()}(E),function(e,t,r,a=1.5){const i=(t.select(".values-dots").empty()?t.append("g").classed("values-dots",!0):t.select(".values-dots")).selectAll("circle").data(e);i.enter().append("circle").classed("values-dots-circle",!0).classed("values-dots-circle-blur",(e=>e.entity!==N)).attr("r",(e=>e.entity===N?1.5*a:a)),i.attr("cx",r.x()).attr("cy",r.y()),i.exit().remove()}(A,E,w),function(e){const r=E.append("g").attr("class","chart-markers").selectAll(".metric-value").data(e.filter((e=>null!==e.value)));r.exit().remove(),r.enter().append("circle").attr("r",7).on("mouseover",(function(e){!function(e,r){const a=[{label:Object(x.c)(e.date)}],i=u.detectorLabel;if(void 0!==e.entity&&a.push({label:f.i18n.translate("xpack.ml.explorer.distributionChart.entityLabel",{defaultMessage:"entity"}),value:e.entity,seriesIdentifier:{key:i},valueAccessor:"entity"}),void 0!==e.anomalyScore){const t=parseInt(e.anomalyScore),r=Object(h.y)(t);a.push({label:f.i18n.translate("xpack.ml.explorer.distributionChart.anomalyScoreLabel",{defaultMessage:"anomaly score"}),value:r,color:Object(h.A)(t),seriesIdentifier:{key:i},valueAccessor:"anomaly_score"}),I!==g.b.EVENT_DISTRIBUTION&&(a.push({label:f.i18n.translate("xpack.ml.explorer.distributionChart.valueLabel",{defaultMessage:"value"}),value:Object(b.b)(e.value,u.functionDescription,v),seriesIdentifier:{key:i},valueAccessor:"value"}),void 0!==e.numberOfCauses&&1!==e.numberOfCauses||a.push({label:f.i18n.translate("xpack.ml.explorer.distributionChart.typicalLabel",{defaultMessage:"typical"}),value:Object(b.b)(e.typical,u.functionDescription,v),seriesIdentifier:{key:i},valueAccessor:"typical"}),void 0!==e.byFieldName&&void 0!==e.numberOfCauses&&a.push({label:f.i18n.translate("xpack.ml.explorer.distributionChart.unusualByFieldValuesLabel",{defaultMessage:"{ numberOfCauses, plural, one {# unusual {byFieldName} value} other {#{plusSign} unusual {byFieldName} values}}",values:{numberOfCauses:e.numberOfCauses,byFieldName:e.byFieldName,plusSign:e.numberOfCauses<10?"":"+"}}),seriesIdentifier:{key:i},valueAccessor:"numberOfCauses"}))}else I!==g.b.EVENT_DISTRIBUTION&&a.push({label:f.i18n.translate("xpack.ml.explorer.distributionChart.valueWithoutAnomalyScoreLabel",{defaultMessage:"value"}),value:Object(b.b)(e.value,u.functionDescription,v),seriesIdentifier:{key:i},valueAccessor:"value"});void 0!==e.scheduledEvents&&e.scheduledEvents.forEach(((t,r)=>{a.push({label:f.i18n.translate("xpack.ml.timeSeriesExplorer.timeSeriesChart.scheduledEventsLabel",{defaultMessage:"scheduled event{counter}",values:{counter:e.scheduledEvents.length>1?` 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Object(l.jsx)("div",{className:"ml-explorer-chart",ref:this.setRef.bind(this)},t&&Object(l.jsx)(v.a,{height:215}),!t&&Object(l.jsx)("div",{className:"content-wrapper"}))}}const O="ml-explorer-chart-content-wrapper";class explorer_chart_single_metric_ExplorerChartSingleMetric extends i.a.Component{componentDidMount(){this.renderChart()}componentDidUpdate(){this.renderChart()}renderChart(){const{tooManyBuckets:e,tooltipService:t,timeBuckets:r,showSelectedInterval:a,onPointerUpdate:i,chartTheme:n,cursor:l}=this.props,s=this.rootNode,u=this.props.seriesConfig,p=this.props.severity;if(void 0===u||!1===Array.isArray(u.chartData))return;const v=y.a.getFieldFormat(u.jobId,u.detectorIndex);let g=0;const k=170,I={top:10,right:0,bottom:30,left:60};let T,E=null,S=null,_=null;var w;function M(e,r){const a=[{label:Object(x.c)(e.date)}],i=u.detectorLabel;if(void 0!==e.anomalyScore){const t=parseInt(e.anomalyScore);a.push({label:f.i18n.translate("xpack.ml.explorer.singleMetricChart.anomalyScoreLabel",{defaultMessage:"anomaly score"}),value:Object(h.y)(t),color:Object(h.A)(t),seriesIdentifier:{key:i},valueAccessor:"anomaly_score"}),!0===Object(o.p)(e)&&a.push({label:f.i18n.translate("xpack.ml.explorer.singleMetricChart.multiBucketImpactLabel",{defaultMessage:"multi-bucket impact"}),value:Object(o.j)(e),seriesIdentifier:{key:i},valueAccessor:"multi_bucket_impact"}),void 0!==e.actual&&"rare"!==u.functionDescription?(a.push({label:f.i18n.translate("xpack.ml.explorer.singleMetricChart.actualLabel",{defaultMessage:"actual"}),value:Object(b.b)(e.actual,u.functionDescription,v),seriesIdentifier:{key:i},valueAccessor:"actual"}),a.push({label:f.i18n.translate("xpack.ml.explorer.singleMetricChart.typicalLabel",{defaultMessage:"typical"}),value:Object(b.b)(e.typical,u.functionDescription,v),seriesIdentifier:{key:i},valueAccessor:"typical"})):(a.push({label:f.i18n.translate("xpack.ml.explorer.singleMetricChart.valueLabel",{defaultMessage:"value"}),value:Object(b.b)(e.value,u.functionDescription,v),seriesIdentifier:{key:i},valueAccessor:"value"}),void 0!==e.byFieldName&&void 0!==e.numberOfCauses&&a.push({label:f.i18n.translate("xpack.ml.explorer.distributionChart.unusualByFieldValuesLabel",{defaultMessage:"{ numberOfCauses, plural, one {# unusual {byFieldName} value} other {#{plusSign} unusual {byFieldName} 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Date(e))+2).attr("y",2).attr("rx",3).attr("ry",3).attr("width",r-4).attr("height",166)}(),function(e){var t,r,a;e.append("rect").attr("x",0).attr("y",0).attr("height",k).attr("width",g).on("mouseout",(function(){i({chartId:"ml-anomaly-chart-metric",scale:"time",smHorizontalValue:null,smVerticalValue:null,type:"Out",unit:void 0})})).on("mousemove",(function(){const e=c.a.mouse(this);i&&i({chartId:"ml-anomaly-chart-metric",scale:"time",smHorizontalValue:null,smVerticalValue:null,type:"Over",unit:void 0,x:1e3*m()(E.invert(e[0])).unix()})})).style("fill",j);const o=l&&"Over"===l.type&&l.x>=u.plotEarliest&&l.x<=u.plotLatest?[l.x]:[],s=e.append("g").attr("class","ml-anomaly-chart-cursor").selectAll(".ml-anomaly-chart-cursor-line").data(o);s.enter().append("path").attr("class","ml-anomaly-chart-cursor-line").attr("d",(e=>{const t=E(e);return`M${t},170 ${t},0`})).style("stroke",`${null!==(t=n.crosshair.line.stroke)&&void 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i=T.select(".chart-markers").selectAll(".multi-bucket").data(e.filter((e=>a(e)&&!0===Object(o.o)(e))));i.exit().remove(),i.enter().append("path").attr("d",c.a.svg.symbol().size(o.c).type("cross")).attr("transform",(e=>`translate(${E(e.date)}, ${S(e.value)})`)).attr("class",(e=>`anomaly-marker multi-bucket ${Object(h.C)(e.anomalyScore).id}`)).on("mouseover",(function(e){M(e,this)})).on("mouseout",(()=>t.hide()));const n=T.select(".chart-markers").selectAll(".scheduled-event-marker").data(e.filter((e=>void 0!==e.scheduledEvents)));n.exit().remove(),n.enter().append("rect").attr("width",2*o.b).attr("height",o.d).attr("class","scheduled-event-marker").attr("rx",1).attr("ry",1),n.attr("x",(e=>E(e.date)-o.b)).attr("y",(e=>S(e.value)-o.d/2))}(w)}shouldComponentUpdate(){return!0}setRef(e){this.rootNode=e}render(){const{seriesConfig:e}=this.props;if(void 0===e)return null;const t=e.loading;return Object(l.jsx)("div",{className:"ml-explorer-chart",ref:this.setRef.bind(this)},t&&Object(l.jsx)(v.a,{height:215}),!t&&Object(l.jsx)("div",{className:O}))}}function k({entity:e}){return Object(l.jsx)("span",{className:"ml-explorer-chart-label-badge"},Object(l.jsx)(n.EuiBadge,{color:"hollow",className:"ml-reset-font-weight"},e.fieldName," ",Object(l.jsx)("strong",null,e.fieldValue)))}r(640),r(645);const I={[g.b.EVENT_DISTRIBUTION]:f.i18n.translate("xpack.ml.explorer.charts.infoTooltip.chartEventDistributionDescription",{defaultMessage:"The gray dots depict the approximate distribution of occurrences over time for a sample of {byFieldValuesParam} with more frequent event types at the top and rarer ones at the bottom.",values:{byFieldValuesParam:"by_field_values"}}),[g.b.POPULATION_DISTRIBUTION]:f.i18n.translate("xpack.ml.explorer.charts.infoTooltip.chartPopulationDistributionDescription",{defaultMessage:"The gray dots depict the approximate distribution of values over time for a sample of {overFieldValuesParam}.",values:{overFieldValuesParam:"over_field_values"}})};function T({toolTipData:e}){return Object(l.jsx)("dl",{className:"mlDescriptionList"},e.map((({title:e,description:t})=>Object(l.jsx)(i.a.Fragment,{key:`${e} ${t}`},Object(l.jsx)("dt",{className:"mlDescriptionList__title"},e),Object(l.jsx)("dd",{className:"mlDescriptionList__description"},t)))))}const E=({jobId:e,aggregationInterval:t,chartFunction:r,chartType:a,entityFields:o=[]})=>{const s=I[a],c=[{title:f.i18n.translate("xpack.ml.explorer.charts.infoTooltip.jobIdTitle",{defaultMessage:"job ID"}),description:e},{title:f.i18n.translate("xpack.ml.explorer.charts.infoTooltip.aggregationIntervalTitle",{defaultMessage:"aggregation interval"}),description:t},{title:f.i18n.translate("xpack.ml.explorer.charts.infoTooltip.chartFunctionTitle",{defaultMessage:"chart function"}),description:r}];return o.forEach((e=>{c.push({title:e.fieldName,description:e.fieldValue})})),Object(l.jsx)("div",{className:"ml-explorer-chart-info-tooltip"},Object(l.jsx)(T,{toolTipData:c}),s&&Object(l.jsx)(i.a.Fragment,null,Object(l.jsx)(n.EuiSpacer,{size:"s"}),Object(l.jsx)("div",{className:"ml-explorer-chart-description"},s)))};var S=r(15),_=r(179);r(650);const w=({onFilter:e,influencerFieldName:t,influencerFieldValue:r})=>Object(l.jsx)(i.a.Fragment,null,Object(l.jsx)(n.EuiToolTip,{content:Object(l.jsx)(S.FormattedMessage,{id:"xpack.ml.entityFilter.addFilterTooltip",defaultMessage:"Add filter"})},Object(l.jsx)(n.EuiButtonIcon,{size:"s",className:"filter-button",onClick:Object(_.a)((()=>{e({influencerFieldName:t,influencerFieldValue:r,action:h.m.ADD})})),iconType:"plusInCircle","aria-label":f.i18n.translate("xpack.ml.entityFilter.addFilterAriaLabel",{defaultMessage:"Add filter for {influencerFieldName} 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