ha-frontend/src/components/chart/statistics-chart.ts

403 lines
10 KiB
TypeScript

import type {
ChartData,
ChartDataset,
ChartOptions,
ChartType,
} from "chart.js";
import {
css,
CSSResultGroup,
html,
LitElement,
PropertyValues,
TemplateResult,
} from "lit";
import { customElement, property, state } from "lit/decorators";
import { getColorByIndex } from "../../common/color/colors";
import { isComponentLoaded } from "../../common/config/is_component_loaded";
import { computeStateName } from "../../common/entity/compute_state_name";
import {
formatNumber,
numberFormatToLocale,
} from "../../common/number/format_number";
import {
getStatisticIds,
Statistics,
statisticsHaveType,
StatisticsMetaData,
StatisticType,
} from "../../data/history";
import type { HomeAssistant } from "../../types";
import "./ha-chart-base";
@customElement("statistics-chart")
class StatisticsChart extends LitElement {
@property({ attribute: false }) public hass!: HomeAssistant;
@property({ attribute: false }) public statisticsData!: Statistics;
@property({ type: Array }) public statisticIds?: StatisticsMetaData[];
@property() public names: boolean | Record<string, string> = false;
@property() public unit?: string;
@property({ attribute: false }) public endTime?: Date;
@property({ type: Array }) public statTypes: Array<StatisticType> = [
"sum",
"min",
"mean",
"max",
];
@property() public chartType: ChartType = "line";
@property({ type: Boolean }) public isLoadingData = false;
@state() private _chartData: ChartData = { datasets: [] };
@state() private _chartOptions?: ChartOptions;
protected shouldUpdate(changedProps: PropertyValues): boolean {
return changedProps.size > 1 || !changedProps.has("hass");
}
public willUpdate(changedProps: PropertyValues) {
if (!this.hasUpdated) {
this._createOptions();
}
if (changedProps.has("statisticsData") || changedProps.has("statTypes")) {
this._generateData();
}
}
protected render(): TemplateResult {
if (!isComponentLoaded(this.hass, "history")) {
return html`<div class="info">
${this.hass.localize("ui.components.history_charts.history_disabled")}
</div>`;
}
if (this.isLoadingData && !this.statisticsData) {
return html`<div class="info">
${this.hass.localize(
"ui.components.statistics_charts.loading_statistics"
)}
</div>`;
}
if (!this.statisticsData || !Object.keys(this.statisticsData).length) {
return html`<div class="info">
${this.hass.localize(
"ui.components.statistics_charts.no_statistics_found"
)}
</div>`;
}
return html`
<ha-chart-base
.data=${this._chartData}
.options=${this._chartOptions}
.chartType=${this.chartType}
></ha-chart-base>
`;
}
private _createOptions() {
this._chartOptions = {
parsing: false,
animation: false,
scales: {
x: {
type: "time",
adapters: {
date: {
locale: this.hass.locale,
},
},
ticks: {
maxRotation: 0,
sampleSize: 5,
autoSkipPadding: 20,
major: {
enabled: true,
},
font: (context) =>
context.tick && context.tick.major
? ({ weight: "bold" } as any)
: {},
},
time: {
tooltipFormat: "datetime",
},
},
y: {
beginAtZero: false,
ticks: {
maxTicksLimit: 7,
},
title: {
display: this.unit,
text: this.unit,
},
},
},
plugins: {
tooltip: {
mode: "nearest",
callbacks: {
label: (context) =>
`${context.dataset.label}: ${formatNumber(
context.parsed.y,
this.hass.locale
)} ${
// @ts-ignore
context.dataset.unit || ""
}`,
},
},
filler: {
propagate: true,
},
legend: {
display: true,
labels: {
usePointStyle: true,
},
},
},
hover: {
mode: "nearest",
},
elements: {
line: {
tension: 0.4,
borderWidth: 1.5,
},
bar: { borderWidth: 1.5, borderRadius: 4 },
point: {
hitRadius: 5,
},
},
// @ts-expect-error
locale: numberFormatToLocale(this.hass.locale),
};
}
private async _getStatisticIds() {
this.statisticIds = await getStatisticIds(this.hass);
}
private async _generateData() {
if (!this.statisticsData) {
return;
}
if (!this.statisticIds) {
await this._getStatisticIds();
}
let colorIndex = 0;
const statisticsData = Object.values(this.statisticsData);
const totalDataSets: ChartDataset<"line">[] = [];
let endTime: Date;
if (statisticsData.length === 0) {
return;
}
endTime =
this.endTime ||
// Get the highest date from the last date of each statistic
new Date(
Math.max(
...statisticsData.map((stats) =>
new Date(stats[stats.length - 1].start).getTime()
)
)
);
if (endTime > new Date()) {
endTime = new Date();
}
let unit: string | undefined | null;
const names = this.names || {};
statisticsData.forEach((stats) => {
const firstStat = stats[0];
let name = names[firstStat.statistic_id];
if (!name) {
const entityState = this.hass.states[firstStat.statistic_id];
if (entityState) {
name = computeStateName(entityState);
} else {
name = firstStat.statistic_id;
}
}
const meta = this.statisticIds!.find(
(stat) => stat.statistic_id === firstStat.statistic_id
);
if (!this.unit) {
if (unit === undefined) {
unit = meta?.unit_of_measurement;
} else if (unit !== meta?.unit_of_measurement) {
unit = null;
}
}
// array containing [value1, value2, etc]
let prevValues: Array<number | null> | null = null;
// The datasets for the current statistic
const statDataSets: ChartDataset<"line">[] = [];
const pushData = (
timestamp: Date,
dataValues: Array<number | null> | null
) => {
if (!dataValues) return;
if (timestamp > endTime) {
// Drop datapoints that are after the requested endTime. This could happen if
// endTime is "now" and client time is not in sync with server time.
return;
}
statDataSets.forEach((d, i) => {
if (dataValues[i] === null && prevValues && prevValues[i] !== null) {
// null data values show up as gaps in the chart.
// If the current value for the dataset is null and the previous
// value of the data set is not null, then add an 'end' point
// to the chart for the previous value. Otherwise the gap will
// be too big. It will go from the start of the previous data
// value until the start of the next data value.
d.data.push({ x: timestamp.getTime(), y: prevValues[i]! });
}
d.data.push({ x: timestamp.getTime(), y: dataValues[i]! });
});
prevValues = dataValues;
};
const color = getColorByIndex(colorIndex);
colorIndex++;
const statTypes: this["statTypes"] = [];
const drawBands =
this.statTypes.includes("mean") && statisticsHaveType(stats, "mean");
const sortedTypes = drawBands
? [...this.statTypes].sort((a, b) => {
if (a === "min" || b === "max") {
return -1;
}
if (a === "max" || b === "min") {
return +1;
}
return 0;
})
: this.statTypes;
sortedTypes.forEach((type) => {
if (statisticsHaveType(stats, type)) {
const band = drawBands && (type === "min" || type === "max");
statTypes.push(type);
statDataSets.push({
label: `${name} (${this.hass.localize(
`ui.components.statistics_charts.statistic_types.${type}`
)})
`,
fill: drawBands
? type === "min"
? "+1"
: type === "max"
? "-1"
: false
: false,
borderColor: band ? color + "7F" : color,
backgroundColor: band ? color + "3F" : color + "7F",
pointRadius: 0,
data: [],
// @ts-ignore
unit: meta?.unit_of_measurement,
band,
});
}
});
let prevDate: Date | null = null;
// Process chart data.
let initVal: number | null = null;
let prevSum: number | null = null;
stats.forEach((stat) => {
const date = new Date(stat.start);
if (prevDate === date) {
return;
}
prevDate = date;
const dataValues: Array<number | null> = [];
statTypes.forEach((type) => {
let val: number | null;
if (type === "sum") {
if (!initVal) {
initVal = val = stat.state;
prevSum = stat.sum;
} else {
val = initVal + ((stat.sum || 0) - prevSum!);
}
} else {
val = stat[type];
}
dataValues.push(val !== null ? Math.round(val * 100) / 100 : null);
});
pushData(date, dataValues);
});
// Add an entry for final values
pushData(endTime, prevValues);
// Concat two arrays
Array.prototype.push.apply(totalDataSets, statDataSets);
});
if (unit !== null) {
this._chartOptions = {
...this._chartOptions,
scales: {
...this._chartOptions!.scales,
y: {
...(this._chartOptions!.scales!.y as Record<string, unknown>),
title: { display: unit, text: unit },
},
},
};
}
this._chartData = {
datasets: totalDataSets,
};
}
static get styles(): CSSResultGroup {
return css`
:host {
display: block;
min-height: 60px;
}
.info {
text-align: center;
line-height: 60px;
color: var(--secondary-text-color);
}
`;
}
}
declare global {
interface HTMLElementTagNameMap {
"statistics-chart": StatisticsChart;
}
}