gristlabs_grist-core/app/client/components/ChartView.ts
Cyprien P 0b437d1544 (core) Brings in the new donut charts.
Summary:
  - Donut charts is same as pie chart with few extra options to control size of the hole and to show/hide a big total in it.
  - Add a new option type to tune a numeric options using a slider/spinner/keyboard.
  - Add a new option type to tune a numeric options using a slider/keyboard
  - Add a new .propWithDefault method to ObjObservable to allows to set a default value when options is undefined.
  - mocha-webdriver's findContent does not work to find content in svg elements. So had to tweak original function into a sister function using .textContent instead.

Test Plan: Adds new tests

Reviewers: dsagal

Reviewed By: dsagal

Subscribers: anaisconce, dsagal

Differential Revision: https://phab.getgrist.com/D3107
2021-11-23 08:56:38 +01:00

1065 lines
38 KiB
TypeScript

import * as BaseView from 'app/client/components/BaseView';
import {GristDoc} from 'app/client/components/GristDoc';
import {consolidateValues, formatPercent, sortByXValues, splitValuesByIndex,
uniqXValues} from 'app/client/lib/chartUtil';
import {Delay} from 'app/client/lib/Delay';
import {Disposable} from 'app/client/lib/dispose';
import {fromKoSave} from 'app/client/lib/fromKoSave';
import {loadPlotly, PlotlyType} from 'app/client/lib/imports';
import * as DataTableModel from 'app/client/models/DataTableModel';
import {ViewFieldRec, ViewSectionRec} from 'app/client/models/DocModel';
import {reportError} from 'app/client/models/errors';
import {KoSaveableObservable, ObjObservable} from 'app/client/models/modelUtil';
import {SortedRowSet} from 'app/client/models/rowset';
import {cssLabel, cssRow, cssSeparator} from 'app/client/ui/RightPanel';
import {cssFieldEntry, cssFieldLabel, IField, VisibleFieldsConfig } from 'app/client/ui/VisibleFieldsConfig';
import {squareCheckbox} from 'app/client/ui2018/checkbox';
import {colors, vars} from 'app/client/ui2018/cssVars';
import {cssDragger} from 'app/client/ui2018/draggableList';
import {icon} from 'app/client/ui2018/icons';
import {linkSelect, menu, menuItem, select} from 'app/client/ui2018/menus';
import {nativeCompare} from 'app/common/gutil';
import {BaseFormatter} from 'app/common/ValueFormatter';
import {decodeObject} from 'app/plugin/objtypes';
import {Events as BackboneEvents} from 'backbone';
import {Computed, dom, DomElementArg, fromKo, Disposable as GrainJSDisposable, IOption,
makeTestId, MultiHolder, Observable, styled} from 'grainjs';
import * as ko from 'knockout';
import clamp = require('lodash/clamp');
import debounce = require('lodash/debounce');
import defaults = require('lodash/defaults');
import defaultsDeep = require('lodash/defaultsDeep');
import isNumber = require('lodash/isNumber');
import sum = require('lodash/sum');
import {Annotations, Config, Data, Datum, ErrorBar, Layout, LayoutAxis, Margin} from 'plotly.js';
let Plotly: PlotlyType;
// When charting multiple series based on user data, limit the number of series given to plotly.
const MAX_SERIES_IN_CHART = 100;
const DONUT_DEFAULT_HOLE_SIZE = 0.75;
const DONUT_DEFAULT_TEXT_SIZE = 24;
const testId = makeTestId('test-chart-');
function isPieLike(chartType: string) {
return ['pie', 'donut'].includes(chartType);
}
interface ChartOptions {
multiseries?: boolean;
lineConnectGaps?: boolean;
lineMarkers?: boolean;
invertYAxis?: boolean;
logYAxis?: boolean;
// If "symmetric", one series after each Y series gives the length of the error bars around it. If
// "separate", two series after each Y series give the length of the error bars above and below it.
errorBars?: 'symmetric' | 'separate';
donutHoleSize?: number;
showTotal?: boolean;
textSize?: number;
}
// tslint:disable:no-console
// We use plotly's Datum to describe the type of values in cells. Cells may not match this
// perfectly, but it's helpful for type-checking anyway.
type RowPropGetter = (rowId: number) => Datum;
// We convert Grist data to a list of Series first, from which we then construct Plotly traces.
interface Series {
label: string; // Corresponds to the column name.
group?: Datum; // The group value, when grouped.
values: Datum[];
}
function getSeriesName(series: Series, haveMultiple: boolean) {
if (!series.group) {
return series.label;
} else if (haveMultiple) {
return `${series.group} \u2022 ${series.label}`; // the unicode character is "black circle"
} else {
return String(series.group);
}
}
// The output of a ChartFunc. Normally it just returns one or more Data[] series, but sometimes it
// includes layout information: e.g. a "Scatter Plot" returns a Layout with axis labels.
interface PlotData {
data: Data[];
layout?: Partial<Layout>;
config?: Partial<Config>;
}
// Data options to pass to chart functions.
interface DataOptions extends Data {
// Allows to set the pie sort option (see: https://plotly.com/javascript/reference/pie/#pie-sort).
// Supports pie charts only.
sort?: boolean;
// Formatter to be used for the total inside donut charts.
totalFormatter?: BaseFormatter;
}
// Convert a list of Series into a set of Plotly traces.
type ChartFunc = (series: Series[], options: ChartOptions, dataOptions?: DataOptions) => PlotData;
// Helper for converting numeric Date/DateTime values (seconds since Epoch) to JS Date objects for
// use with plotly.
function dateGetter(getter: RowPropGetter): RowPropGetter {
return (r: number) => {
// 0's will turn into nulls, and non-numbers will turn into NaNs and then nulls. This prevents
// Plotly from including 1970-01-01 onto X axis, which usually makes the plot useless.
const val = (getter(r) as number) * 1000;
// Plotly recommends using strings for dates rather than Date objects or timestamps. They are
// interpreted more consistently. See https://github.com/plotly/plotly.js/issues/1532#issuecomment-290420534.
return val ? new Date(val).toISOString() : null;
};
}
// List of column types whose values are encoded has list, ie: ['L', 'foo', ...]. Such values
// require special treatment to show correctly in charts.
const LIST_TYPES = ['ChoiceList', 'RefList'];
/**
* ChartView component displays created charts.
*/
export class ChartView extends Disposable {
public viewPane: Element;
// These elements are defined in BaseView, from which we inherit with some hackery.
protected viewSection: ViewSectionRec;
protected sortedRows: SortedRowSet;
protected tableModel: DataTableModel;
protected gristDoc: GristDoc;
private _chartType: ko.Observable<string>;
private _options: ObjObservable<any>;
private _chartDom: HTMLElement;
private _update: () => void;
private _resize: () => void;
private _formatterComp: ko.Computed<BaseFormatter|undefined>;
public create(gristDoc: GristDoc, viewSectionModel: ViewSectionRec) {
BaseView.call(this as any, gristDoc, viewSectionModel);
this._chartDom = this.autoDispose(this.buildDom());
this._resize = this.autoDispose(Delay.untilAnimationFrame(this._resizeChart, this));
// Note that .viewPane is used by ViewLayout to insert the actual DOM into the document.
this.viewPane = this._chartDom;
this._chartType = this.viewSection.chartTypeDef;
this._options = this.viewSection.optionsObj;
// Computed that returns the formatter of the first series. This is useful to format the total
// within a donut chart.
this._formatterComp = this.autoDispose(ko.computed(() => {
const field = this.viewSection.viewFields().at(1);
return field?.createVisibleColFormatter();
}));
this._update = debounce(() => this._updateView(), 0);
this.autoDispose(this._chartType.subscribe(this._update));
this.autoDispose(this._options.subscribe(this._update));
this.autoDispose(this.viewSection.viewFields().subscribe(this._update));
this.listenTo(this.sortedRows, 'rowNotify', this._update);
this.autoDispose(this.sortedRows.getKoArray().subscribe(this._update));
this.autoDispose(this._formatterComp.subscribe(this._update));
}
public prepareToPrint(onOff: boolean) {
Plotly.relayout(this._chartDom, {}).catch(reportError);
}
protected onTableLoaded() {
(BaseView.prototype as any).onTableLoaded.call(this);
this._update();
}
protected onResize() {
this._resize();
}
protected buildDom() {
return dom('div.chart_container', testId('container'));
}
private listenTo(...args: any[]): void { /* replaced by Backbone */ }
private async _updateView() {
if (this.isDisposed()) { return; }
const chartFunc = chartTypes[this._chartType()];
if (typeof chartFunc !== 'function') {
console.warn("Unknown trace type %s", this._chartType());
return;
}
const fields: ViewFieldRec[] = this.viewSection.viewFields().all();
const rowIds: number[] = this.sortedRows.getKoArray().peek() as number[];
let series: Series[] = fields.map((field) => {
// Use the colId of the displayCol, which may be different in case of Reference columns.
const colId: string = field.displayColModel.peek().colId.peek();
const getter = this.tableModel.tableData.getRowPropFunc(colId) as RowPropGetter;
const pureType = field.displayColModel().pureType();
const fullGetter = (pureType === 'Date' || pureType === 'DateTime') ? dateGetter(getter) : getter;
return {
label: field.label(),
values: rowIds.map(fullGetter),
};
});
const startIndexForYAxis = this._options.prop('multiseries') ? 2 : 1;
for (let i = 0; i < series.length; ++i) {
if (i < fields.length && LIST_TYPES.includes(fields[i].column.peek().pureType.peek())) {
if (i < startIndexForYAxis) {
// For x-axis and group column data, split series we should split records.
series = splitValuesByIndex(series, i);
} else {
// For all y-axis, it's not sure what would be a sensible representation for choice list,
// simply stringify choice list values seems reasonable.
series[i].values = series[i].values.map((v) => String(decodeObject(v as any)));
}
}
}
const dataOptions: DataOptions = {};
const options: ChartOptions = this._options.peek() || {};
let plotData: PlotData = {data: []};
const sortSpec = this.viewSection.activeSortSpec.peek();
if (isPieLike(this._chartType.peek()) && sortSpec?.length) {
dataOptions.sort = false;
}
if (this._chartType.peek() === 'donut') {
dataOptions.totalFormatter = this._formatterComp.peek();
}
if (!options.multiseries) {
plotData = chartFunc(series, options, dataOptions);
} else if (series.length > 1) {
// We need to group all series by the first column.
const nseries = groupSeries(series[0].values, series.slice(1));
// This will be in the order in which nseries Map was created; concat() flattens the arrays.
const xvalues = Array.from(new Set(series[1].values));
for (const gSeries of nseries.values()) {
// All series have partial list of values, ie: if some may have Q1, Q2, Q3, Q4 as x values
// some others might only have Q1. This causes inconsistent result in regard of the order
// bars will be displayed by plotly (for bar charts). This eventually result in bars not
// following the sorting order. This line fixes that issue by consolidating all series to
// have at least on entry of each x values.
if (this._chartType.peek() === 'bar') {
if (sortSpec?.length) { consolidateValues(gSeries, xvalues); }
}
const part = chartFunc(gSeries, options, dataOptions);
part.data = plotData.data.concat(part.data);
plotData = part;
}
}
Plotly = Plotly || await loadPlotly();
// Loading plotly is asynchronous and it may happen that the chart view had been disposed in the
// meantime and cause error later. So let's check again.
if (this.isDisposed()) { return; }
const layout: Partial<Layout> = defaultsDeep(plotData.layout, getPlotlyLayout(options));
const config: Partial<Config> = {...plotData.config, displayModeBar: false};
// react() can be used in place of newPlot(), and is faster when updating an existing plot.
await Plotly.react(this._chartDom, plotData.data, layout, config);
this._resizeChart();
}
private _resizeChart() {
if (this.isDisposed() || !Plotly || !this._chartDom.parentNode) { return; }
Plotly.Plots.resize(this._chartDom);
}
}
/**
* Group the given array of series by a column of group values. The groupColumn and each of the
* series should be arrays of the same length.
*
* For example, if groupColumn has CompanyID, and valueSeries contains [Date, Employees, Revenues]
* (each an array of values), then returns a map mapping each CompanyID to the array [Date,
* Employees, Revenue], each value of which is itself an array of values for that CompanyID.
*/
function groupSeries<T extends Datum>(groupColumn: T[], valueSeries: Series[]): Map<T, Series[]> {
const nseries = new Map<T, Series[]>();
// Limit the number if group values so as to limit the total number of series we pass into
// Plotly. Too many series are impossible to make sense of anyway, and can hang the browser.
// TODO: When not all data is shown, we should probably show some indicator, similar to when
// OnDemand data is truncated.
const maxGroups = Math.floor(MAX_SERIES_IN_CHART / valueSeries.length);
const groupValues: T[] = [...new Set(groupColumn)].sort().slice(0, maxGroups);
// Set up empty lists for each group.
for (const group of groupValues) {
nseries.set(group, valueSeries.map((s: Series) => ({
label: s.label,
group,
values: []
})));
}
// Now fill up the lists.
for (let row = 0; row < groupColumn.length; row++) {
const group = groupColumn[row];
const series: Series[]|undefined = nseries.get(group);
if (series) {
for (let i = 0; i < valueSeries.length; i++) {
series[i].values.push(valueSeries[i].values[row]);
}
}
}
return nseries;
}
// If errorBars are requested, removes error bar series from the 'series' list, adding instead a
// mapping from each main Y series to the corresponding plotly ErrorBar object.
function extractErrorBars(series: Series[], options: ChartOptions): Map<Series, ErrorBar> {
const result = new Map<Series, ErrorBar>();
if (options.errorBars) {
// We assume that series is of the form [X, Y1, Y1-bar, Y2, Y2-bar, ...] (if "symmetric") or
// [X, Y1, Y1-below, Y1-above, Y2, Y2-below, Y2-above, ...] (if "separate").
for (let i = 1; i < series.length; i++) {
result.set(series[i], {
type: 'data',
symmetric: (options.errorBars === 'symmetric'),
array: series[i + 1] && series[i + 1].values,
arrayminus: (options.errorBars === 'separate' ? series[i + 2] && series[i + 2].values : undefined),
thickness: 1,
width: 3,
});
series.splice(i + 1, (options.errorBars === 'symmetric' ? 1 : 2));
}
}
return result;
}
// Getting an ES6 class to work with old-style multiple base classes takes a little hacking.
defaults(ChartView.prototype, BaseView.prototype);
Object.assign(ChartView.prototype, BackboneEvents);
function getPlotlyLayout(options: ChartOptions): Partial<Layout> {
// Note that each call to getPlotlyLayout() creates a new layout object. We are intentionally
// avoiding reuse because Plotly caches too many layout calculations when the object is reused.
const yaxis: Partial<LayoutAxis> = {};
if (options.logYAxis) { yaxis.type = 'log'; }
if (options.invertYAxis) { yaxis.autorange = 'reversed'; }
return {
// Margins include labels, titles, legend, and may get auto-expanded beyond this.
margin: {
l: 50,
r: 50,
b: 40, // Space below chart which includes x-axis labels
t: 30, // Space above the chart (doesn't include any text)
pad: 4
} as Margin,
legend: {
// Translucent background, so chart data is still visible if legend overlaps it.
bgcolor: "#FFFFFF80",
},
yaxis,
};
}
/**
* The grainjs component for side-pane configuration options for a Chart section.
*/
export class ChartConfig extends GrainJSDisposable {
// helper to build the draggable field list
private _configFieldsHelper = VisibleFieldsConfig.create(this, this._gristDoc, this._section, true);
// The index for the x-axis in the list visible fields. Could be eigther 0 or 1 depending on
// whether multiseries is set.
private _xAxisFieldIndex = Computed.create(
this, fromKo(this._optionsObj.prop('multiseries')), (_use, multiseries) => (
multiseries ? 1 : 0
)
);
// The column id of the grouping column, or -1 if multiseries is disabled.
private _groupDataColId: Computed<number> = Computed.create(this, (use) => {
const multiseries = use(this._optionsObj.prop('multiseries'));
const viewFields = use(use(this._section.viewFields).getObservable());
if (!multiseries) { return -1; }
return use(viewFields[0].column).getRowId();
})
.onWrite((colId) => this._setGroupDataColumn(colId));
// Updating the group data column involves several changes of the list of view fields which could
// leave the x-axis field index momentarily point to the wrong column. The freeze x axis
// observable is part of a hack to fix this issue.
private _freezeXAxis = Observable.create(this, false);
private _freezeYAxis = Observable.create(this, false);
// The column is of the x-axis.
private _xAxis: Computed<number> = Computed.create(
this, this._xAxisFieldIndex, this._freezeXAxis, (use, i, freeze) => {
if (freeze) { return this._xAxis.get(); }
const viewFields = use(use(this._section.viewFields).getObservable());
if (i < viewFields.length) {
return use(viewFields[i].column).getRowId();
}
return -1;
})
.onWrite((colId) => this._setXAxis(colId));
// The list of available columns for the group data picker. Picking the actual x-axis is not
// permitted.
private _groupDataOptions = Computed.create<Array<IOption<number>>>(this, (use) => [
{value: -1, label: 'Pick a column'},
...this._section.table().columns().peek()
// filter out hidden column (ie: manualsort ...) and the one selected for x axis
.filter((col) => !col.isHiddenCol.peek() && (col.getRowId() !== use(this._xAxis)))
.map((col) => ({
value: col.getRowId(), label: col.label.peek(), icon: 'FieldColumn',
}))
]);
// Force checking/unchecking of the group data checkbox option.
private _groupDataForce = Observable.create(null, false);
// State for the group data option checkbox. True, if a group data column is set or if the user
// forced it. False otherwise.
private _groupData = Computed.create(
this, this._groupDataColId, this._groupDataForce, (_use, col, force) => {
if (col > -1) { return true; }
return force;
}).onWrite((val) => {
if (val === false) {
this._groupDataColId.set(-1);
}
this._groupDataForce.set(val);
});
// The label to show for the first field in the axis configurator.
private _firstFieldLabel = Computed.create(this, fromKo(this._section.chartTypeDef), (
(_use, chartType) => isPieLike(chartType) ? 'LABEL' : 'X-AXIS'
));
// A computed that returns `this._section.chartTypeDef` and that takes care of removing the group
// data option when type is switched to 'pie'.
private _chartType = Computed.create(this, (use) => use(this._section.chartTypeDef))
.onWrite((val) => {
return this._gristDoc.docData.bundleActions('switched chart type', async () => {
await this._section.chartTypeDef.saveOnly(val);
// When switching chart type to 'pie' makes sure to remove the group data option.
if (isPieLike(val)) {
await this._setGroupDataColumn(-1);
this._groupDataForce.set(false);
}
});
});
constructor(private _gristDoc: GristDoc, private _section: ViewSectionRec) {
super();
}
private get _optionsObj() { return this._section.optionsObj; }
public buildDom() {
if (this._section.parentKey() !== 'chart') { return null; }
const owner = new MultiHolder();
return [
dom.autoDispose(owner),
cssRow(
select(this._chartType, [
{value: 'bar', label: 'Bar Chart', icon: 'ChartBar' },
{value: 'pie', label: 'Pie Chart', icon: 'ChartPie' },
{value: 'donut', label: 'Donut Chart', icon: 'ChartDonut' },
{value: 'area', label: 'Area Chart', icon: 'ChartArea' },
{value: 'line', label: 'Line Chart', icon: 'ChartLine' },
{value: 'scatter', label: 'Scatter Plot', icon: 'ChartLine' },
{value: 'kaplan_meier', label: 'Kaplan-Meier Plot', icon: 'ChartKaplan'},
]),
testId("type"),
),
dom.maybe((use) => !isPieLike(use(this._section.chartTypeDef)), () => [
// These options don't make much sense for a pie chart.
cssCheckboxRowObs('Group data', this._groupData),
cssCheckboxRow('Invert Y-axis', this._optionsObj.prop('invertYAxis')),
cssCheckboxRow('Log scale Y-axis', this._optionsObj.prop('logYAxis')),
]),
dom.maybe((use) => use(this._section.chartTypeDef) === 'donut', () => [
cssSlideRow(
'Hole Size',
Computed.create(owner, (use) => use(this._optionsObj.prop('donutHoleSize')) ?? DONUT_DEFAULT_HOLE_SIZE),
(val: number) => this._optionsObj.prop('donutHoleSize').saveOnly(val),
testId('option')
),
cssCheckboxRow('Show Total', this._optionsObj.prop('showTotal')),
dom.maybe(this._optionsObj.prop('showTotal'), () => (
cssNumberWithSpinnerRow(
'Text Size',
Computed.create(owner, (use) => use(this._optionsObj.prop('textSize')) ?? DONUT_DEFAULT_TEXT_SIZE),
(val: number) => this._optionsObj.prop('textSize').saveOnly(val),
testId('option')
)
))
]),
dom.maybe((use) => use(this._section.chartTypeDef) === 'line', () => [
cssCheckboxRow('Connect gaps', this._optionsObj.prop('lineConnectGaps')),
cssCheckboxRow('Show markers', this._optionsObj.prop('lineMarkers')),
]),
dom.maybe((use) => ['line', 'bar'].includes(use(this._section.chartTypeDef)), () => [
cssRow(
cssRowLabel('Error bars'),
dom('div', linkSelect(fromKoSave(this._optionsObj.prop('errorBars')), [
{value: '', label: 'None'},
{value: 'symmetric', label: 'Symmetric'},
{value: 'separate', label: 'Above+Below'},
], {defaultLabel: 'None'})),
testId('error-bars'),
),
dom.domComputed(this._optionsObj.prop('errorBars'), (value: ChartOptions["errorBars"]) =>
value === 'symmetric' ? cssRowHelp('Each Y series is followed by a series for the length of error bars.') :
value === 'separate' ? cssRowHelp('Each Y series is followed by two series, for top and bottom error bars.') :
null
),
]),
cssSeparator(),
dom.maybe(this._groupData, () => [
cssLabel('Group data'),
cssRow(
select(this._groupDataColId, this._groupDataOptions),
testId('group-by-column'),
),
cssHintRow('Create separate series for each value of the selected column.'),
]),
// TODO: user should select x axis before widget reach page
cssLabel(dom.text(this._firstFieldLabel), testId('first-field-label')),
cssRow(
select(
this._xAxis, this._section.table().columns().peek()
.filter((col) => !col.isHiddenCol.peek())
.map((col) => ({
value: col.getRowId(), label: col.label.peek(), icon: 'FieldColumn',
}))
),
testId('x-axis'),
),
cssLabel('SERIES'),
this._buildYAxis(),
cssRow(
cssAddYAxis(
cssAddIcon('Plus'), 'Add Series',
menu(() => this._section.hiddenColumns.peek().map((col) => (
menuItem(() => this._configFieldsHelper.addField(col), col.label.peek())
))),
testId('add-y-axis'),
)
),
];
}
private async _setXAxis(colId: number) {
const optionsObj = this._section.optionsObj;
const col = this._gristDoc.docModel.columns.getRowModel(colId);
const viewFields = this._section.viewFields.peek();
await this._gristDoc.docData.bundleActions('selected new x-axis', async () => {
this._freezeYAxis.set(true);
try {
// first remove the current field
if (this._xAxisFieldIndex.get() < viewFields.peek().length) {
await this._configFieldsHelper.removeField(viewFields.peek()[this._xAxisFieldIndex.get()]);
}
// if new field was used to group by column series, disable multiseries
const fieldIndex = viewFields.peek().findIndex((f) => f.column.peek().getRowId() === colId);
if (fieldIndex === 0 && optionsObj.prop('multiseries').peek()) {
await optionsObj.prop('multiseries').setAndSave(false);
return;
}
// if new field is already visible, moves the fields to the first place else add the field to the first
// place
const xAxisField = viewFields.peek()[this._xAxisFieldIndex.get()];
if (fieldIndex > -1) {
await this._configFieldsHelper.changeFieldPosition(viewFields.peek()[fieldIndex], xAxisField);
} else {
await this._configFieldsHelper.addField(col, xAxisField);
}
} finally {
this._freezeYAxis.set(false);
}
});
}
private async _setGroupDataColumn(colId: number) {
const viewFields = this._section.viewFields.peek().peek();
await this._gristDoc.docData.bundleActions('selected new x-axis', async () => {
this._freezeXAxis.set(true);
this._freezeYAxis.set(true);
try {
// if grouping was already set, first remove the current field
if (this._groupDataColId.get() > -1) {
await this._configFieldsHelper.removeField(viewFields[0]);
}
if (colId > -1) {
const col = this._gristDoc.docModel.columns.getRowModel(colId);
const field = viewFields.find((f) => f.column.peek().getRowId() === colId);
// if new field is already visible, moves the fields to the first place else add the field to the first
// place
if (field) {
await this._configFieldsHelper.changeFieldPosition(field, viewFields[0]);
} else {
await this._configFieldsHelper.addField(col, viewFields[0]);
}
}
await this._optionsObj.prop('multiseries').setAndSave(colId > -1);
} finally {
this._freezeXAxis.set(false);
this._freezeYAxis.set(false);
}
}, {nestInActiveBundle: true});
}
private _buildField(col: IField) {
return cssFieldEntry(
cssFieldLabel(dom.text(col.label)),
cssRemoveIcon(
'Remove',
dom.on('click', () => this._configFieldsHelper.removeField(col)),
testId('ref-select-remove'),
),
testId('y-axis'),
);
}
private _buildYAxis() {
// The y-axis are all visible fields that comes after the x-axis and maybe the group data
// column. Hence the draggable list of y-axis needs to skip either one or two visible fields.
const skipFirst = Computed.create(this, fromKo(this._optionsObj.prop('multiseries')), (_use, multiseries) => (
multiseries ? 2 : 1
));
return this._configFieldsHelper.buildVisibleFieldsConfigHelper({
itemCreateFunc: (field) => this._buildField(field),
draggableOptions: {
removeButton: false,
drag_indicator: cssDragger,
}, skipFirst, freeze: this._freezeYAxis
});
}
}
// Row for a numeric option. User can change value using spinners or directly using keyboard. In
// case of invalid values, the field reverts to the saved one.
function cssNumberWithSpinnerRow(label: string, value: Computed<number>, save: (val: number) => Promise<void>,
...args: DomElementArg[]) {
const minValue = 1;
let input: HTMLInputElement;
// Set the input's value to the value that's saved on the server.
function reset() {
input.value = value.get() + "px";
}
async function onChange(val: string, func: (val: number) => number = (v) => v) {
let fvalue = parseFloat(val);
if (isFinite(fvalue)) {
fvalue = clamp(func(fvalue), minValue, Infinity);
await save(fvalue);
}
// Reset is needed if value were not a valid number.
reset();
}
return cssRow(
cssRowLabel(label),
cssNumberWithSpinner(
input = cssNumberInput(
{type: 'text'},
dom.prop('value', (use) => use(value) + "px"),
dom.on('change', (_ev, el) => onChange(el.value)),
dom.onKeyDown({
ArrowDown: (_ev, el) => onChange(el.value, (val) => val - 1),
ArrowUp: (_ev, el) => onChange(el.value, (val) => val + 1),
}),
),
// We add spinners as overlay in order to support showing the unit 'px' next to the value.
cssSpinners(
'input',
{type: 'number', step: '1', min: String(minValue)},
dom.prop('value', value),
dom.on('change', (_ev, el) => onChange(el.value)),
),
),
...args
);
}
// Row for a numeric option that leaves between 0 and 1. User can change value using a slider, or
// spinners or by directly using keyboard. Value is shown as percent. If user enter an invalid
// value, field reverts to the saved value.
function cssSlideRow(label: string, value: Computed<number>, save: (val: number) => Promise<void>,
...args: DomElementArg[]) {
let input: HTMLInputElement;
// Set the input's value to the value that's saved on the server.
function reset() {
input.value = formatPercent(value.get());
}
async function onChange(val: string, func: (val: number) => number = (v) => v) {
let fvalue = parseFloat(val);
if (isFinite(fvalue)) {
fvalue = clamp(func(fvalue), 0, 99) / 100;
await save(fvalue);
}
// Reset is needed if value were not a valid number.
reset();
}
return cssRow(
cssRowLabel(label),
cssRangeInput(
{type: 'range', min: "0", max: "1", step: "0.01"},
dom.prop('value', value),
dom.on('change', (_ev, el) => save(Number(el.value)))
),
cssNumberWithSpinner(
input = cssNumberInput(
{type: 'text'},
dom.prop('value', (use) => formatPercent(use(value))),
dom.on('change', (_ev, el) => onChange(el.value)),
dom.onKeyDown({
ArrowDown: (_ev, el) => onChange(el.value, (val) => val - 1),
ArrowUp: (_ev, el) => onChange(el.value, (val) => val + 1),
}),
),
// We add spinners as overlay in order to support showing the unit '%' next to the value.
cssSpinners(
'input',
{type: 'number', step: '0.01', min: '0', max: '0.99'},
dom.prop('value', value),
dom.on('change', (_ev, el) => save(Number(el.value))),
)
),
...args
);
}
function cssCheckboxRow(label: string, value: KoSaveableObservable<unknown>, ...args: DomElementArg[]) {
return cssCheckboxRowObs(label, fromKoSave(value), ...args);
}
function cssCheckboxRowObs(label: string, value: Observable<boolean>, ...args: DomElementArg[]) {
return dom('label', cssRow.cls(''),
cssRowLabel(label),
squareCheckbox(value, ...args),
);
}
function basicPlot(series: Series[], options: ChartOptions, dataOptions: Data): PlotData {
trimNonNumericData(series);
const errorBars = extractErrorBars(series, options);
if (dataOptions.type === 'bar') {
// Plotly has weirdness when redundant values shows up on the x-axis: the values that shows
// up on hover is different than the value on the y-axis. It seems that one is the sum of all
// values with same x-axis value, while the other is the last of them. To fix this, we force
// unique values for the x-axis.
series = uniqXValues(series);
}
return {
data: series.slice(1).map((line: Series): Data => ({
name: getSeriesName(line, series.length > 2),
x: series[0].values,
y: line.values,
error_y: errorBars.get(line),
...dataOptions,
})),
layout: {
xaxis: series.length > 0 ? {title: series[0].label} : {},
// Include yaxis title for a single y-value series only (2 series total);
// If there are fewer than 2 total series, there is no y-series to display.
// If there are multiple y-series, a legend will be included instead, and the yaxis title
// is less meaningful, so omit it.
yaxis: series.length === 2 ? {title: series[1].label} : {},
},
};
}
// Most chart types take a list of series and then use the first series for the X-axis, and each
// subsequent series for their Y-axis values, allowing for multiple lines on the same plot.
// Each series should have the form {label, values}.
export const chartTypes: {[name: string]: ChartFunc} = {
// TODO There is a lot of code duplication across chart types. Some refactoring is in order.
bar(series: Series[], options: ChartOptions): PlotData {
return basicPlot(series, options, {type: 'bar'});
},
line(series: Series[], options: ChartOptions): PlotData {
sortByXValues(series);
return basicPlot(series, options, {
type: 'scatter',
connectgaps: options.lineConnectGaps,
mode: options.lineMarkers ? 'lines+markers' : 'lines',
});
},
area(series: Series[], options: ChartOptions): PlotData {
sortByXValues(series);
return basicPlot(series, options, {
type: 'scatter',
fill: 'tozeroy',
line: {shape: 'spline'},
});
},
scatter(series: Series[], options: ChartOptions): PlotData {
return basicPlot(series.slice(1), options, {
type: 'scatter',
mode: 'text+markers',
text: series[0].values as string[],
textposition: "bottom center",
});
},
pie(series: Series[], _options: ChartOptions, dataOptions: DataOptions = {}): PlotData {
let line: Series;
if (series.length === 0) {
return {data: []};
}
if (series.length > 1) {
trimNonNumericData(series);
line = series[1];
} else {
// When there is only one series of labels, simply count their occurrences.
line = {label: 'Count', values: series[0].values.map(() => 1)};
}
return {
data: [{
type: 'pie',
name: getSeriesName(line, false),
// nulls cause JS errors when pie charts resize, so replace with blanks.
// (a falsy value would cause plotly to show its index, like "2" which is more confusing).
labels: series[0].values.map(v => (v == null || v === "") ? "-" : v),
values: line.values,
...dataOptions,
}]
};
},
donut(series: Series[], options: ChartOptions, dataOptions: DataOptions = {}): PlotData {
const hole = isNumber(options.donutHoleSize) ? options.donutHoleSize : DONUT_DEFAULT_HOLE_SIZE;
const annotations: Array<Partial<Annotations>> = [];
const plotData: PlotData = chartTypes.pie(series, options, {...dataOptions, hole});
function format(val: number) {
if (dataOptions.totalFormatter) {
return dataOptions.totalFormatter.format(val);
}
return String(val);
}
if (options.showTotal) {
annotations.push({
text: format(
series.length > 1 ?
sum(series[1].values.filter(isNumber)) :
plotData.data[0].labels!.length,
),
showarrow: false,
font: {
size: options.textSize ?? DONUT_DEFAULT_TEXT_SIZE,
}
} as any);
}
return defaultsDeep(
plotData,
{layout: {annotations}}
);
},
kaplan_meier(series: Series[]): PlotData {
// For this plot, the first series names the category of each point, and the second the
// survival time for that point. We turn that into as many series as there are categories.
if (series.length < 2) { return {data: []}; }
const newSeries = groupIntoSeries(series[0].values, series[1].values);
return {
data: newSeries.map((line: Series): Data => {
const points = kaplanMeierPlot(line.values as number[]);
return {
type: 'scatter',
mode: 'lines',
line: {shape: 'hv'},
name: getSeriesName(line, false),
x: points.map(p => p.x),
y: points.map(p => p.y),
} as Data;
})
};
},
};
/**
* Assumes a list of series of the form [xValues, yValues1, yValues2, ...]. Remove from all series
* those points for which all of the y-values are non-numeric (e.g. null or a string).
*/
function trimNonNumericData(series: Series[]): void {
const values = series.slice(1).map((s) => s.values);
for (const s of series) {
s.values = s.values.filter((_, i) => values.some(v => typeof v[i] === 'number'));
}
}
// Given two parallel arrays, returns an array of series of the form
// {label: category, values: array-of-values}
function groupIntoSeries(categoryList: Datum[], valueList: Datum[]): Series[] {
const groups = new Map();
for (const [i, cat] of categoryList.entries()) {
if (!groups.has(cat)) { groups.set(cat, []); }
groups.get(cat).push(valueList[i]);
}
return Array.from(groups, ([label, values]) => ({label, values}));
}
// Given a list of survivalValues, returns a list of {x, y} pairs for the kaplanMeier plot.
function kaplanMeierPlot(survivalValues: number[]): Array<{x: number, y: number}> {
// First get a distribution of survivalValue -> count.
const dist = new Map<number, number>();
for (const v of survivalValues) {
dist.set(v, (dist.get(v) || 0) + 1);
}
// Sort the distinct values.
const distinctValues = Array.from(dist.keys());
distinctValues.sort(nativeCompare);
// Now generate plot values, with 'x' for survivalValue and 'y' the number of surviving points.
let y = survivalValues.length;
const points = [{x: 0, y}];
for (const x of distinctValues) {
y -= dist.get(x)!;
points.push({x, y});
}
return points;
}
const cssRowLabel = styled('div', `
flex: 1 0 0px;
margin-right: 8px;
font-weight: initial; /* negate bootstrap */
color: ${colors.dark};
overflow: hidden;
text-overflow: ellipsis;
user-select: none;
`);
const cssRowHelp = styled(cssRow, `
font-size: ${vars.smallFontSize};
color: ${colors.slate};
`);
const cssAddIcon = styled(icon, `
margin-right: 4px;
`);
const cssAddYAxis = styled('div', `
display: flex;
cursor: pointer;
color: ${colors.lightGreen};
--icon-color: ${colors.lightGreen};
&:not(:first-child) {
margin-top: 8px;
}
&:hover, &:focus, &:active {
color: ${colors.darkGreen};
--icon-color: ${colors.darkGreen};
}
`);
const cssRemoveIcon = styled(icon, `
display: none;
cursor: pointer;
flex: none;
margin-left: 8px;
.${cssFieldEntry.className}:hover & {
display: block;
}
`);
const cssHintRow = styled('div', `
margin: -4px 16px 8px 16px;
color: ${colors.slate};
`);
const cssRangeInput = styled('input', `
input& {
width: 82px;
margin-right: 4px;
}
`);
const cssNumberWithSpinner = styled('div', `
position: relative;
`);
const cssNumberInput = styled('input', `
width: 55px;
`);
const cssSpinners = styled('input', `
width: 19px;
position: absolute;
top: 2px;
right: 1px;
border: none;
outline: none;
appearance: none;
-moz-appearance: none;
visibility: hidden;
.${cssNumberWithSpinner.className}:hover & {
visibility: visible;
}
/* needed for chrome to show spinners, indeed the cursor could be outside of spinners' input
element */
&[type=number]::-webkit-inner-spin-button {
opacity: 1;
}
`);