2021-01-20 09:15:01 -06:00

270 lines
8.1 KiB
TypeScript

import * as Plotly from "plotly.js-cartesian-dist-min";
import dayjs from "dayjs";
import {
ChartSettings,
DataPayload,
DisplaySettings,
FontSettings,
HeatmapCaptions,
HeatmapData,
LayoutSettings,
PartitionTimeStampToData,
PortalTheme,
} from "./HeatmapDatatypes";
import { isInvalidParentFrameOrigin } from "../../Utils/MessageValidation";
import { sendCachedDataMessage, sendMessage } from "../../Common/MessageHandler";
import { MessageTypes } from "../../Contracts/ExplorerContracts";
import { StyleConstants } from "../../Common/Constants";
import "./Heatmap.less";
export class Heatmap {
public static readonly elementId: string = "heatmap";
private _chartData: HeatmapData;
private _heatmapCaptions: HeatmapCaptions;
private _theme: PortalTheme;
private _defaultFontColor: string;
constructor(data: DataPayload, heatmapCaptions: HeatmapCaptions, theme: PortalTheme) {
this._theme = theme;
this._defaultFontColor = StyleConstants.BaseDark;
this._setThemeColorForChart();
this._chartData = this.generateMatrixFromMap(data);
this._heatmapCaptions = heatmapCaptions;
}
private _setThemeColorForChart() {
if (isDarkTheme(this._theme)) {
this._defaultFontColor = StyleConstants.BaseLight;
}
}
private _getFontStyles(size: number = StyleConstants.MediumFontSize, color: string = "#838383"): FontSettings {
return {
family: StyleConstants.DataExplorerFont,
size,
color,
};
}
public generateMatrixFromMap(data: DataPayload): HeatmapData {
// all keys in data payload, sorted...
const rows: string[] = Object.keys(data).sort((a: string, b: string) => {
if (parseInt(a) < parseInt(b)) {
return -1;
} else {
if (parseInt(a) > parseInt(b)) {
return 1;
} else {
return 0;
}
}
});
const output: HeatmapData = {
yAxisPoints: [],
dataPoints: [],
xAxisPoints: Object.keys(data[rows[0]]).sort((a: string, b: string) => {
if (a < b) {
return -1;
} else {
if (a > b) {
return 1;
} else {
return 0;
}
}
}),
};
// go thru all rows and create 2d matrix for heatmap...
for (let i = 0; i < rows.length; i++) {
output.yAxisPoints.push(rows[i]);
let dataPoints: number[] = [];
for (let a = 0; a < output.xAxisPoints.length; a++) {
let row: PartitionTimeStampToData = data[rows[i]];
dataPoints.push(row[output.xAxisPoints[a]]["Normalized Throughput"]);
}
output.dataPoints.push(dataPoints);
}
for (let a = 0; a < output.xAxisPoints.length; a++) {
const dateTime = output.xAxisPoints[a];
// convert to local users timezone...
const day = dayjs(new Date(dateTime)).format("YYYY-MM-DD");
const hour = dayjs(new Date(dateTime)).format("HH:mm:ss");
// coerce to ISOString format since that is what plotly wants...
output.xAxisPoints[a] = `${day}T${hour}Z`;
}
return output;
}
private _getChartSettings(): ChartSettings[] {
return [
{
z: this._chartData.dataPoints,
type: "heatmap",
zmin: 0,
zmid: 50,
zmax: 100,
colorscale: [
[0.0, "#1FD338"],
[0.1, "#1CAD2F"],
[0.2, "#50A527"],
[0.3, "#719F21"],
[0.4, "#95991B"],
[0.5, "#CE8F11"],
[0.6, "#E27F0F"],
[0.7, "#E46612"],
[0.8, "#E64914"],
[0.9, "#B80016"],
[1.0, "#B80016"],
],
name: "",
hovertemplate: this._heatmapCaptions.tooltipText,
colorbar: {
thickness: 15,
outlinewidth: 0,
tickcolor: StyleConstants.BaseDark,
tickfont: this._getFontStyles(10, this._defaultFontColor),
},
y: this._chartData.yAxisPoints,
x: this._chartData.xAxisPoints,
},
];
}
private _getLayoutSettings(): LayoutSettings {
return {
margin: {
l: 40,
r: 10,
b: 35,
t: 30,
pad: 0,
},
paper_bgcolor: "transparent",
plot_bgcolor: "transparent",
width: 462,
height: 240,
yaxis: {
title: this._heatmapCaptions.yAxisTitle,
titlefont: this._getFontStyles(11),
autorange: true,
showgrid: false,
zeroline: false,
showline: false,
autotick: true,
fixedrange: true,
ticks: "",
showticklabels: false,
},
xaxis: {
fixedrange: true,
title: "*White area in heatmap indicates there is no available data",
titlefont: this._getFontStyles(11),
autorange: true,
showgrid: false,
zeroline: false,
showline: false,
autotick: true,
tickformat: this._heatmapCaptions.timeWindow > 7 ? "%I:%M %p" : "%b %e",
showticklabels: true,
tickfont: this._getFontStyles(10),
},
title: {
text: this._heatmapCaptions.chartTitle,
x: 0.01,
font: this._getFontStyles(13, this._defaultFontColor),
},
};
}
private _getChartDisplaySettings(): DisplaySettings {
return {
/* heatmap can be fully responsive however the min-height needed in that case is greater than the iframe portal height, hence explicit width + height have been set in _getLayoutSettings
responsive: true,*/
displayModeBar: false,
};
}
public drawHeatmap(): void {
// todo - create random elementId generator so multiple heatmaps can be created - ticket # 431469
Plotly.plot(
Heatmap.elementId,
this._getChartSettings(),
this._getLayoutSettings(),
this._getChartDisplaySettings()
);
let plotDiv: any = document.getElementById(Heatmap.elementId);
plotDiv.on("plotly_click", (data: any) => {
let timeSelected: string = data.points[0].x;
timeSelected = timeSelected.replace(" ", "T");
timeSelected = `${timeSelected}Z`;
let xAxisIndex = 0;
for (let i = 0; i < this._chartData.xAxisPoints.length; i++) {
if (this._chartData.xAxisPoints[i] === timeSelected) {
xAxisIndex = i;
break;
}
}
let output = [];
for (let i = 0; i < this._chartData.dataPoints.length; i++) {
output.push(this._chartData.dataPoints[i][xAxisIndex]);
}
sendCachedDataMessage(MessageTypes.LogInfo, output);
});
}
}
export function isDarkTheme(theme: PortalTheme) {
return theme === PortalTheme.dark;
}
export function handleMessage(event: MessageEvent) {
if (isInvalidParentFrameOrigin(event)) {
return;
}
if (typeof event.data !== "object" || event.data["signature"] !== "pcIframe") {
return;
}
if (
typeof event.data.data !== "object" ||
!("chartData" in event.data.data) ||
!("chartSettings" in event.data.data)
) {
return;
}
Plotly.purge(Heatmap.elementId);
document.getElementById(Heatmap.elementId)!.innerHTML = "";
const data = event.data.data;
const chartData: DataPayload = data.chartData;
const chartSettings: HeatmapCaptions = data.chartSettings;
const chartTheme: PortalTheme = data.theme;
if (Object.keys(chartData).length) {
new Heatmap(chartData, chartSettings, chartTheme).drawHeatmap();
} else {
const chartTitleElement = document.createElement("div");
chartTitleElement.innerHTML = data.chartSettings.chartTitle;
chartTitleElement.classList.add("chartTitle");
const noDataMessageElement = document.createElement("div");
noDataMessageElement.classList.add("noDataMessage");
const noDataMessageContent = document.createElement("div");
noDataMessageContent.innerHTML = data.errorMessage;
noDataMessageElement.appendChild(noDataMessageContent);
if (isDarkTheme(chartTheme)) {
chartTitleElement.classList.add("dark-theme");
noDataMessageElement.classList.add("dark-theme");
noDataMessageContent.classList.add("dark-theme");
}
document.getElementById(Heatmap.elementId)!.appendChild(chartTitleElement);
document.getElementById(Heatmap.elementId)!.appendChild(noDataMessageElement);
}
}
window.addEventListener("message", handleMessage, false);
sendMessage("ready");