@tidepool/viz
Version:
Tidepool data visualization for diabetes device data.
1 lines • 166 kB
JavaScript
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Glucose ({{bgSourceLabel}}):** All {{bgSourceLabel}} glucose values added together, divided by the number of readings.",{bgSourceLabel:p[i]}));break;case T.averageDailyDose:n>1?s.push(b("**Avg. Daily Insulin:** All basal and bolus insulin delivery (in Units) added together, divided by the number of days in this view.")):s.push(b("**Daily Insulin:** All basal and bolus insulin delivery (in Units) added together."));break;case T.carbs:n>1?s.push(b("**Avg. Daily Carbs**: All carb entries added together, then divided by the number of days in this view. Note, these entries come from either bolus wizard events, or Apple Health records.")):s.push(b("**Total Carbs**: All carb entries from bolus wizard events or Apple Health records added together.")),s.push(b("Derived from _**{{total}}**_ carb entries.",{total:e.total}));break;case T.coefficientOfVariation:s.push(b("**CV (Coefficient of Variation):** How far apart (wide) glucose values are; research suggests a target of 36% or lower."));break;case T.glucoseManagementIndicator:s.push(b("**GMI (Glucose Management Indicator):** Tells you what your approximate A1C level is likely to be, based on the average glucose level from your CGM readings."));break;case T.readingsInRange:s.push(b("**Readings In Range:** Daily average of the number of {{smbgLabel}} readings.",{smbgLabel:p.smbg}));break;case T.sensorUsage:s.push(b("**Sensor Usage:** Time the {{cbgLabel}} collected data, divided by the total time represented in this view.",{cbgLabel:p.cbg}));break;case T.standardDev:s.push(b("**SD (Standard Deviation):** How far values are from the average."));break;case T.timeInAuto:n>1?(s.push(b("**Time In {{automatedLabel}}:** Daily average of the time spent in automated basal delivery.",{automatedLabel:o[h.AUTOMATED_DELIVERY]})),s.push(b("**How we calculate this:**\n\n**(%)** is the duration in {{automatedLabel}} divided the total duration of basals for this time period.\n\n**(time)** is 24 hours multiplied by % in {{automatedLabel}}.",{automatedLabel:o[h.AUTOMATED_DELIVERY]}))):(s.push(b("**Time In {{automatedLabel}}:** Time spent in automated basal delivery.",{automatedLabel:o[h.AUTOMATED_DELIVERY]})),s.push(b("**How we calculate this:**\n\n**(%)** is the duration in {{automatedLabel}} divided the total duration of basals for this time period.\n\n**(time)** is total duration of time in {{automatedLabel}}.",{automatedLabel:o[h.AUTOMATED_DELIVERY]})));break;case T.timeInRange:n>1?(s.push(b("**Time In Range:** Daily average of the time spent in range, based on {{cbgLabel}} readings.",{cbgLabel:p.cbg})),s.push(b("**How we calculate this:**\n\n**(%)** is the number of readings in range divided by all readings for this time period.\n\n**(time)** is 24 hours multiplied by % in range."))):(s.push(b("**Time In Range:** Time spent in range, based on {{cbgLabel}} readings.",{cbgLabel:p.cbg})),s.push(b("**How we calculate this:**\n\n**(%)** is the number of readings in range divided by all readings for this time period.\n\n**(time)** is number of readings in range multiplied by the {{cbgLabel}} sample frequency.",{cbgLabel:p.cbg})));break;case T.totalInsulin:n>1?s.push(b("**Total Insulin:** All basal and bolus insulin delivery (in Units) added together, divided by the number of days in this view")):s.push(b("**Total Insulin:** All basal and bolus insulin delivery (in Units) added together")),s.push(b("**How we calculate this:**\n\n**(%)** is the respective total of basal or bolus delivery divided by total insulin delivered for this time period."))}return e.insufficientData?s.push(b("**Why is this stat empty?**\n\nThere is not enough data present in this view to calculate it.")):l.default.includes(d,t)&&"smbg"===i&&s.push(b("Derived from _**{{total}}**_ {{smbgLabel}} readings.",{total:e.total,smbgLabel:p.smbg})),s};t.getStatAnnotations=B;var A=function(e,t){var a=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},i=(0,g.getPumpVocabulary)(a.manufacturer),n=(0,c.generateBgRangeLabels)(a.bgPrefs,{condensed:!0}),r={raw:(0,o.default)({days:a.days},e)};switch(t){case T.averageGlucose:r.data=[{value:w(e.averageGlucose)}],r.dataPaths={summary:"data.0"};break;case T.averageDailyDose:r.data=[{id:"insulin",input:{id:"weight",label:"Weight",suffix:{id:"units",options:v,value:a.suffixValue||v[0]},type:"number",value:a.inputValue?w(a.inputValue):void 0},output:{label:"Daily Dose ÷ Weight",type:"divisor",dataPaths:{dividend:"data.0"}},value:w(e.totalInsulin)}],r.dataPaths={input:"data.0.input",output:"data.0.output",summary:"data.0"};break;case T.bgExtents:r.data=[{id:"bgMax",value:w(e.bgMax),title:b("Max BG")},{id:"bgMin",value:w(e.bgMin),title:b("Min BG")}];break;case T.carbs:r.data=[{value:w(e.carbs)}],r.dataPaths={summary:"data.0"};break;case T.coefficientOfVariation:r.data=[{id:"cv",value:w(e.coefficientOfVariation)}],r.dataPaths={summary:"data.0"};break;case T.glucoseManagementIndicator:r.data=[{id:"gmi",value:w(e.glucoseManagementIndicator)}],r.dataPaths={summary:"data.0"};break;case T.readingsInRange:r.data=[{id:"veryLow",value:w(e.veryLow),title:b("Readings Below Range"),legendTitle:n.veryLow},{id:"low",value:w(e.low),title:b("Readings Below Range"),legendTitle:n.low},{id:"target",value:w(e.target),title:b("Readings In Range"),legendTitle:n.target},{id:"high",value:w(e.high),title:b("Readings Above Range"),legendTitle:n.high},{id:"veryHigh",value:w(e.veryHigh),title:b("Readings Above Range"),legendTitle:n.veryHigh}],r.total={value:E(r.data)},r.dataPaths={summary:["data",l.default.findIndex(r.data,{id:"target"})]};break;case T.sensorUsage:r.data=[{value:w(e.sensorUsage)}],r.total={value:w(e.total)},r.dataPaths={summary:"data.0"};break;case T.standardDev:r.data=[{value:w(e.averageGlucose),deviation:{value:w(e.standardDeviation)}}],r.dataPaths={summary:"data.0.deviation",title:"data.0"};break;case T.timeInAuto:r.data=[{id:"basalAutomated",value:w(e.automated),title:b("Time In {{automatedLabel}}",{automatedLabel:i[h.AUTOMATED_DELIVERY]}),legendTitle:i[h.AUTOMATED_DELIVERY]},{id:"basal",value:w(e.manual),title:b("Time In {{scheduledLabel}}",{scheduledLabel:i[h.SCHEDULED_DELIVERY]}),legendTitle:i[h.SCHEDULED_DELIVERY]}],r.total={value:E(r.data)},r.dataPaths={summary:["data",l.default.findIndex(r.data,{id:"basalAutomated"})]};break;case T.timeInRange:r.data=[{id:"veryLow",value:w(e.veryLow),title:b("Time Below Range"),legendTitle:n.veryLow},{id:"low",value:w(e.low),title:b("Time Below Range"),legendTitle:n.low},{id:"target",value:w(e.target),title:b("Time In Range"),legendTitle:n.target},{id:"high",value:w(e.high),title:b("Time Above Range"),legendTitle:n.high},{id:"veryHigh",value:w(e.veryHigh),title:b("Time Above Range"),legendTitle:n.veryHigh}],r.total={value:E(r.data)},r.dataPaths={summary:["data",l.default.findIndex(r.data,{id:"target"})]};break;case T.totalInsulin:r.data=[{id:"bolus",value:w(e.bolus),title:b("Bolus Insulin"),legendTitle:b("Bolus")},{id:"basal",value:w(e.basal),title:b("Basal Insulin"),legendTitle:b("Basal")}],r.total={id:"insulin",value:E(r.data)},r.dataPaths={summary:"total",title:"total"};break;default:r=void 0}return r};t.getStatData=A;var x=function(e){var t,a=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},i=a.bgSource,n=a.days,r=(0,g.getPumpVocabulary)(a.manufacturer);switch(e){case T.averageGlucose:t=b("Avg. Glucose ({{bgSourceLabel}})",{bgSourceLabel:p[i]});break;case T.averageDailyDose:t=b(n>1?"Avg. Daily Insulin":"Total Insulin");break;case T.bgExtents:t=b("BG Extents ({{bgSourceLabel}})",{bgSourceLabel:p[i]});break;case T.carbs:t=b(n>1?"Avg. Daily Carbs":"Total Carbs");break;case T.coefficientOfVariation:t=b("CV ({{bgSourceLabel}})",{bgSourceLabel:p[i]});break;case T.glucoseManagementIndicator:t=b("GMI ({{bgSourceLabel}})",{bgSourceLabel:p[i]});break;case T.readingsInRange:t=b(n>1?"Avg. Daily Readings In Range":"Readings In Range");break;case T.sensorUsage:t=b("Sensor Usage");break;case T.standardDev:t=b("Std. Deviation ({{bgSourceLabel}})",{bgSourceLabel:p[i]});break;case T.timeInAuto:t=b(n>1?"Avg. Daily Time In {{automatedLabel}}":"Time In {{automatedLabel}}",{automatedLabel:r[h.AUTOMATED_DELIVERY]});break;case T.timeInRange:t=b(n>1?"Avg. Daily Time In Range":"Time In Range");break;case T.totalInsulin:t=b(n>1?"Avg. Daily Total Insulin":"Total Insulin");break;default:t=""}return t};t.getStatTitle=x;t.getStatDefinition=function(e,t){var a=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},i={annotations:B(e,t,a),collapsible:!1,data:A(e,t,a),id:t,title:x(t,a),type:y.barHorizontal};switch(t){case T.averageGlucose:i.dataFormat={label:S.bgValue,summary:S.bgValue},i.type=y.barBg,i.units=l.default.get(a,"bgPrefs.bgUnits");break;case T.averageDailyDose:i.alwaysShowSummary=!0,i.dataFormat={output:S.unitsPerKg,summary:S.units},i.type=y.input;break;case T.bgExtents:i.dataFormat={label:S.bgValue,summary:S.bgValue},i.type=y.simple,i.units=l.default.get(a,"bgPrefs.bgUnits");break;case T.carbs:i.dataFormat={summary:S.carbs},i.type=y.simple;break;case T.coefficientOfVariation:i.dataFormat={summary:S.cv},i.type=y.simple;break;case T.glucoseManagementIndicator:i.dataFormat={summary:S.gmi},i.type=y.simple;break;case T.readingsInRange:i.alwaysShowTooltips=!0,i.dataFormat={label:S.bgCount,summary:S.bgCount,tooltip:S.percentage,tooltipTitle:S.bgRange},i.legend=!0,i.reverseLegendOrder=!0,i.units=l.default.get(a,"bgPrefs.bgUnits");break;case T.sensorUsage:i.dataFormat={summary:S.percentage},i.type=y.simple;break;case T.standardDev:i.dataFormat={label:S.standardDevValue,summary:S.standardDevValue,title:S.standardDevRange},i.type=y.barBg,i.units=l.default.get(a,"bgPrefs.bgUnits");break;case T.timeInAuto:i.alwaysShowTooltips=!0,i.dataFormat={label:S.percentage,summary:S.percentage,tooltip:S.duration},i.legend=!0;break;case T.timeInRange:i.alwaysShowTooltips=!0,i.dataFormat={label:S.percentage,summary:S.percentage,tooltip:S.duration,tooltipTitle:S.bgRange},i.legend=!0,i.reverseLegendOrder=!0,i.units=l.default.get(a,"bgPrefs.bgUnits");break;case T.totalInsulin:i.alwaysShowTooltips=!0,i.dataFormat={label:S.percentage,summary:S.units,title:S.units,tooltip:S.units},i.legend=!0;break;default:i=void 0}return i}},37:function(e,t,a){"use strict";var i=a(3);Object.defineProperty(t,"__esModule",{value:!0}),t.getLatestPumpUpload=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[];return n.default.findLast(e,{deviceTags:["insulin-pump"]})},t.getLastManualBasalSchedule=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[],t=n.default.findLast(e,{deliveryType:"scheduled"});return n.default.get(t,"scheduleName")},t.isAutomatedBasalDevice=function(e,t){return n.default.includes(n.default.get(r.AUTOMATED_BASAL_DEVICE_MODELS,(0,o.deviceName)(e),[]),t)},t.getPumpVocabulary=function(e){var t=n.default.cloneDeep(r.pumpVocabulary);return n.default.defaults(n.default.get(t,(0,o.deviceName)(e),{}),t.default)};var n=i(a(5)),r=a(6),o=a(32)},39:function(e,t,a){"use strict";a.r(t),a.d(t,"default",function(){return n});var i=a(9);function n(e){for(var t=1;t<arguments.length;t++){var a=null!=arguments[t]?arguments[t]:{},n=Object.keys(Object(a));"function"==typeof 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i=a(5),n=function(e){i.merge(this,{id:"fitcolumn",column:null,maxWidth:null,calculatedWidth:null},i.clone(e||{}))};i.assign(n.prototype,{configure:function(e){e.onBodyAdd(this.setWidth.bind(this)).onColumnAdded(this.onColumnAdded.bind(this)).onColumnPropertyChanged(this.onColumnPropertyChanged.bind(this))},onColumnAdded:function(e){return this.reinitWidth(e)},onColumnPropertyChanged:function(e,t,a){return"width"!==a&&"hidden"!==a?this:this.reinitWidth(e)},resetWidth:function(){return this.calculatedWidth=null,this},reinitWidth:function(e){return this.resetWidth().setWidth(e)},setWidth:function(e){if(e.pdf.page){if(null===this.calculatedWidth){var t=this,a=this.maxWidth,n=i.sumBy(e.getColumns(),function(e){return e.id!==t.column?e.width:0});a||(a=e.pdf.page.width-e.pdf.page.margins.left-e.pdf.page.margins.right),this.calculatedWidth=a-n,this.calculatedWidth<0&&(this.calculatedWidth=0)}e.setColumnWidth(this.column,this.calculatedWidth,!0)}}}),e.exports=n},419:function(e,t){e.exports="data:image/png;base64,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