d3d3fa7bd2
Co-authored-by: Kibana Machine <42973632+kibanamachine@users.noreply.github.com>
563 lines
17 KiB
TypeScript
563 lines
17 KiB
TypeScript
/*
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* Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
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* or more contributor license agreements. Licensed under the Elastic License;
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* you may not use this file except in compliance with the Elastic License.
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*/
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import { i18n } from '@kbn/i18n';
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import { partition } from 'lodash';
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import { Position } from '@elastic/charts';
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import { PaletteOutput } from 'src/plugins/charts/public';
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import {
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SuggestionRequest,
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VisualizationSuggestion,
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TableSuggestionColumn,
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TableSuggestion,
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TableChangeType,
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} from '../types';
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import { State, SeriesType, XYState, visualizationTypes, LayerConfig } from './types';
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import { getIconForSeries } from './state_helpers';
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const columnSortOrder = {
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document: 0,
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date: 1,
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string: 2,
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ip: 3,
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boolean: 4,
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number: 5,
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};
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/**
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* Generate suggestions for the xy chart.
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*
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* @param opts
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*/
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export function getSuggestions({
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table,
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state,
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keptLayerIds,
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subVisualizationId,
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mainPalette,
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}: SuggestionRequest<State>): Array<VisualizationSuggestion<State>> {
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if (
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// We only render line charts for multi-row queries. We require at least
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// two columns: one for x and at least one for y, and y columns must be numeric.
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// We reject any datasource suggestions which have a column of an unknown type.
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!table.isMultiRow ||
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table.columns.length <= 1 ||
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table.columns.every((col) => col.operation.dataType !== 'number') ||
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table.columns.some((col) => !columnSortOrder.hasOwnProperty(col.operation.dataType))
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) {
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if (table.changeType === 'unchanged' && state) {
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// this isn't a table we would switch to, but we have a state already. In this case, just use the current state for all series types
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return visualizationTypes.map((visType) => {
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const seriesType = visType.id as SeriesType;
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return {
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seriesType,
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score: 0,
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state: {
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...state,
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preferredSeriesType: seriesType,
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layers: state.layers.map((layer) => ({ ...layer, seriesType })),
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},
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previewIcon: getIconForSeries(seriesType),
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title: visType.label,
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hide: true,
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};
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});
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}
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return [];
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}
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const suggestions = getSuggestionForColumns(
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table,
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keptLayerIds,
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state,
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subVisualizationId as SeriesType | undefined,
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mainPalette
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);
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if (suggestions && suggestions instanceof Array) {
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return suggestions;
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}
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return suggestions ? [suggestions] : [];
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}
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function getSuggestionForColumns(
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table: TableSuggestion,
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keptLayerIds: string[],
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currentState?: State,
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seriesType?: SeriesType,
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mainPalette?: PaletteOutput
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): VisualizationSuggestion<State> | Array<VisualizationSuggestion<State>> | undefined {
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const [buckets, values] = partition(table.columns, (col) => col.operation.isBucketed);
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if (buckets.length === 1 || buckets.length === 2) {
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const [x, splitBy] = getBucketMappings(table, currentState);
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return getSuggestionsForLayer({
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layerId: table.layerId,
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changeType: table.changeType,
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xValue: x,
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yValues: values,
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splitBy,
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currentState,
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tableLabel: table.label,
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keptLayerIds,
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requestedSeriesType: seriesType,
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mainPalette,
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});
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} else if (buckets.length === 0) {
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const [x, ...yValues] = prioritizeColumns(values);
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return getSuggestionsForLayer({
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layerId: table.layerId,
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changeType: table.changeType,
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xValue: x,
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yValues,
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splitBy: undefined,
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currentState,
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tableLabel: table.label,
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keptLayerIds,
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requestedSeriesType: seriesType,
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mainPalette,
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});
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}
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}
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function flipSeriesType(seriesType: SeriesType) {
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switch (seriesType) {
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case 'bar_horizontal':
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return 'bar';
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case 'bar_horizontal_stacked':
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return 'bar_stacked';
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case 'bar':
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return 'bar_horizontal';
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case 'bar_horizontal_percentage_stacked':
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return 'bar_percentage_stacked';
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case 'bar_percentage_stacked':
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return 'bar_horizontal_percentage_stacked';
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default:
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return 'bar_horizontal';
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}
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}
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function getBucketMappings(table: TableSuggestion, currentState?: State) {
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const currentLayer =
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currentState && currentState.layers.find(({ layerId }) => layerId === table.layerId);
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const buckets = table.columns.filter((col) => col.operation.isBucketed);
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// reverse the buckets before prioritization to always use the most inner
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// bucket of the highest-prioritized group as x value (don't use nested
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// buckets as split series)
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const prioritizedBuckets = prioritizeColumns([...buckets].reverse());
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if (!currentLayer || table.changeType === 'initial') {
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return prioritizedBuckets;
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}
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if (table.changeType === 'reorder') {
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return buckets;
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}
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// if existing table is just modified, try to map buckets to the current dimensions
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const currentXColumnIndex = prioritizedBuckets.findIndex(
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({ columnId }) => columnId === currentLayer.xAccessor
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);
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const currentXScaleType =
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currentXColumnIndex > -1 && prioritizedBuckets[currentXColumnIndex].operation.scale;
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if (
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currentXScaleType &&
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// make sure histograms get mapped to x dimension even when changing current bucket/dimension mapping
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(currentXScaleType === 'interval' || prioritizedBuckets[0].operation.scale !== 'interval')
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) {
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const [x] = prioritizedBuckets.splice(currentXColumnIndex, 1);
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prioritizedBuckets.unshift(x);
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}
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const currentSplitColumnIndex = prioritizedBuckets.findIndex(
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({ columnId }) => columnId === currentLayer.splitAccessor
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);
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if (currentSplitColumnIndex > -1) {
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const [splitBy] = prioritizedBuckets.splice(currentSplitColumnIndex, 1);
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prioritizedBuckets.push(splitBy);
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}
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return prioritizedBuckets;
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}
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// This shuffles columns around so that the left-most column defualts to:
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// date, string, boolean, then number, in that priority. We then use this
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// order to pluck out the x column, and the split / stack column.
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function prioritizeColumns(columns: TableSuggestionColumn[]) {
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return [...columns].sort(
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(a, b) => columnSortOrder[a.operation.dataType] - columnSortOrder[b.operation.dataType]
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);
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}
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function getSuggestionsForLayer({
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layerId,
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changeType,
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xValue,
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yValues,
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splitBy,
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currentState,
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tableLabel,
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keptLayerIds,
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requestedSeriesType,
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mainPalette,
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}: {
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layerId: string;
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changeType: TableChangeType;
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xValue?: TableSuggestionColumn;
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yValues: TableSuggestionColumn[];
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splitBy?: TableSuggestionColumn;
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currentState?: State;
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tableLabel?: string;
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keptLayerIds: string[];
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requestedSeriesType?: SeriesType;
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mainPalette?: PaletteOutput;
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}): VisualizationSuggestion<State> | Array<VisualizationSuggestion<State>> {
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const title = getSuggestionTitle(yValues, xValue, tableLabel);
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const seriesType: SeriesType =
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requestedSeriesType || getSeriesType(currentState, layerId, xValue);
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const options = {
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currentState,
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seriesType,
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layerId,
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title,
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yValues,
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splitBy,
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changeType,
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xValue,
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keptLayerIds,
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// only use palette if there is a breakdown by dimension
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mainPalette: splitBy ? mainPalette : undefined,
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};
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// handles the simplest cases, acting as a chart switcher
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if (!currentState && changeType === 'unchanged') {
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// Chart switcher needs to include every chart type
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return visualizationTypes
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.map((visType) => {
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return {
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...buildSuggestion({ ...options, seriesType: visType.id as SeriesType }),
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title: visType.label,
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hide: visType.id !== 'bar_stacked',
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};
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})
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.sort((a, b) => (a.state.preferredSeriesType === 'bar_stacked' ? -1 : 1));
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}
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const isSameState = currentState && changeType === 'unchanged';
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if (!isSameState) {
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return buildSuggestion(options);
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}
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// Suggestions are either changing the data, or changing the way the data is used
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const sameStateSuggestions: Array<VisualizationSuggestion<State>> = [];
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// if current state is using the same data, suggest same chart with different presentational configuration
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if (seriesType.includes('bar') && (!xValue || xValue.operation.scale === 'ordinal')) {
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// flip between horizontal/vertical for ordinal scales
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sameStateSuggestions.push(
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buildSuggestion({
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...options,
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title: i18n.translate('xpack.lens.xySuggestions.flipTitle', { defaultMessage: 'Flip' }),
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seriesType: flipSeriesType(seriesType),
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})
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);
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} else {
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// change chart type for interval or ratio scales on x axis
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const newSeriesType = altSeriesType(seriesType);
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sameStateSuggestions.push(
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buildSuggestion({
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...options,
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seriesType: newSeriesType,
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title: newSeriesType.startsWith('bar')
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? i18n.translate('xpack.lens.xySuggestions.barChartTitle', {
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defaultMessage: 'Bar chart',
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})
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: i18n.translate('xpack.lens.xySuggestions.lineChartTitle', {
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defaultMessage: 'Line chart',
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}),
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})
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);
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}
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if (seriesType !== 'line' && splitBy && !seriesType.includes('percentage')) {
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// flip between stacked/unstacked
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sameStateSuggestions.push(
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buildSuggestion({
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...options,
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seriesType: toggleStackSeriesType(seriesType),
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title: seriesType.endsWith('stacked')
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? i18n.translate('xpack.lens.xySuggestions.unstackedChartTitle', {
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defaultMessage: 'Unstacked',
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})
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: i18n.translate('xpack.lens.xySuggestions.stackedChartTitle', {
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defaultMessage: 'Stacked',
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}),
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})
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);
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}
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if (
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seriesType !== 'line' &&
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seriesType.includes('stacked') &&
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!seriesType.includes('percentage')
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) {
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const percentageOptions = { ...options };
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if (percentageOptions.xValue?.operation.scale === 'ordinal' && !percentageOptions.splitBy) {
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percentageOptions.splitBy = percentageOptions.xValue;
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delete percentageOptions.xValue;
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}
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// percentage suggestion
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sameStateSuggestions.push(
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buildSuggestion({
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...options,
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// hide the suggestion if split by is missing
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hide: !percentageOptions.splitBy,
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seriesType: asPercentageSeriesType(seriesType),
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title: i18n.translate('xpack.lens.xySuggestions.asPercentageTitle', {
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defaultMessage: 'Percentage',
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}),
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})
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);
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}
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// Combine all pre-built suggestions with hidden suggestions for remaining chart types
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return sameStateSuggestions.concat(
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visualizationTypes
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.filter((visType) => {
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return !sameStateSuggestions.find(
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(suggestion) => suggestion.state.preferredSeriesType === visType.id
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);
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})
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.map((visType) => {
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return {
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...buildSuggestion({ ...options, seriesType: visType.id as SeriesType }),
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hide: true,
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};
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})
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);
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}
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function toggleStackSeriesType(oldSeriesType: SeriesType) {
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switch (oldSeriesType) {
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case 'area':
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return 'area_stacked';
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case 'area_stacked':
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return 'area';
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case 'bar':
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return 'bar_stacked';
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case 'bar_stacked':
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return 'bar';
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default:
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return oldSeriesType;
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}
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}
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function asPercentageSeriesType(oldSeriesType: SeriesType) {
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switch (oldSeriesType) {
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case 'area_stacked':
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return 'area_percentage_stacked';
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case 'bar_stacked':
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return 'bar_percentage_stacked';
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case 'bar_horizontal_stacked':
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return 'bar_horizontal_percentage_stacked';
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default:
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return oldSeriesType;
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}
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}
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// Until the area chart rendering bug is fixed, avoid suggesting area charts
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// https://github.com/elastic/elastic-charts/issues/388
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function altSeriesType(oldSeriesType: SeriesType) {
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switch (oldSeriesType) {
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case 'area':
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return 'line';
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case 'area_stacked':
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return 'bar_stacked';
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case 'bar':
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return 'line';
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case 'bar_stacked':
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return 'line';
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case 'line':
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default:
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return 'bar_stacked';
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}
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}
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function getSeriesType(
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currentState: XYState | undefined,
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layerId: string,
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xValue?: TableSuggestionColumn
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): SeriesType {
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const defaultType = 'bar_stacked';
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const oldLayer = getExistingLayer(currentState, layerId);
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const oldLayerSeriesType = oldLayer ? oldLayer.seriesType : false;
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const closestSeriesType =
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oldLayerSeriesType || (currentState && currentState.preferredSeriesType) || defaultType;
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// Attempt to keep the seriesType consistent on initial add of a layer
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// Ordinal scales should always use a bar because there is no interpolation between buckets
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if (xValue && xValue.operation.scale && xValue.operation.scale === 'ordinal') {
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return closestSeriesType.startsWith('bar') ? closestSeriesType : defaultType;
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}
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return closestSeriesType;
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}
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function getSuggestionTitle(
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yValues: TableSuggestionColumn[],
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xValue: TableSuggestionColumn | undefined,
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tableLabel: string | undefined
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) {
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const yTitle = yValues
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.map((col) => col.operation.label)
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.join(
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i18n.translate('xpack.lens.xySuggestions.yAxixConjunctionSign', {
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defaultMessage: ' & ',
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description:
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'A character that can be used for conjunction of multiple enumarated items. Make sure to include spaces around it if needed.',
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})
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);
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const xTitle =
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xValue?.operation.label ||
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i18n.translate('xpack.lens.xySuggestions.emptyAxisTitle', {
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defaultMessage: '(empty)',
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});
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const title =
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tableLabel ||
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(xValue?.operation.dataType === 'date'
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? i18n.translate('xpack.lens.xySuggestions.dateSuggestion', {
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defaultMessage: '{yTitle} over {xTitle}',
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description:
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'Chart description for charts over time, like "Transfered bytes over log.timestamp"',
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values: { xTitle, yTitle },
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})
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: i18n.translate('xpack.lens.xySuggestions.nonDateSuggestion', {
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defaultMessage: '{yTitle} of {xTitle}',
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description:
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'Chart description for a value of some groups, like "Top URLs of top 5 countries"',
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values: { xTitle, yTitle },
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}));
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return title;
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}
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function buildSuggestion({
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currentState,
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seriesType,
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layerId,
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title,
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yValues,
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splitBy,
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changeType,
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xValue,
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keptLayerIds,
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hide,
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mainPalette,
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}: {
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currentState: XYState | undefined;
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seriesType: SeriesType;
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title: string;
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yValues: TableSuggestionColumn[];
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xValue?: TableSuggestionColumn;
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splitBy: TableSuggestionColumn | undefined;
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layerId: string;
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changeType: TableChangeType;
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keptLayerIds: string[];
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hide?: boolean;
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mainPalette?: PaletteOutput;
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}) {
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if (seriesType.includes('percentage') && xValue?.operation.scale === 'ordinal' && !splitBy) {
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splitBy = xValue;
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xValue = undefined;
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}
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const existingLayer: LayerConfig | {} = getExistingLayer(currentState, layerId) || {};
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const accessors = yValues.map((col) => col.columnId);
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const newLayer = {
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...existingLayer,
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palette: mainPalette || ('palette' in existingLayer ? existingLayer.palette : undefined),
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layerId,
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seriesType,
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xAccessor: xValue?.columnId,
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splitAccessor: splitBy?.columnId,
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accessors,
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yConfig:
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'yConfig' in existingLayer && existingLayer.yConfig
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? existingLayer.yConfig.filter(({ forAccessor }) => accessors.indexOf(forAccessor) !== -1)
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: undefined,
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};
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// Maintain consistent order for any layers that were saved
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const keptLayers = currentState
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? currentState.layers
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// Remove layers that aren't being suggested
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.filter((layer) => keptLayerIds.includes(layer.layerId))
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// Update in place
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.map((layer) => (layer.layerId === layerId ? newLayer : layer))
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// Replace the seriesType on all previous layers
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.map((layer) => ({
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...layer,
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seriesType,
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}))
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: [];
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const state: State = {
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legend: currentState ? currentState.legend : { isVisible: true, position: Position.Right },
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valueLabels: currentState?.valueLabels || 'hide',
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fittingFunction: currentState?.fittingFunction || 'None',
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xTitle: currentState?.xTitle,
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yTitle: currentState?.yTitle,
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yRightTitle: currentState?.yRightTitle,
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axisTitlesVisibilitySettings: currentState?.axisTitlesVisibilitySettings || {
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x: true,
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yLeft: true,
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yRight: true,
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},
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tickLabelsVisibilitySettings: currentState?.tickLabelsVisibilitySettings || {
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x: true,
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yLeft: true,
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yRight: true,
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},
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gridlinesVisibilitySettings: currentState?.gridlinesVisibilitySettings || {
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x: true,
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yLeft: true,
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yRight: true,
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},
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preferredSeriesType: seriesType,
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layers: Object.keys(existingLayer).length ? keptLayers : [...keptLayers, newLayer],
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};
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return {
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title,
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score: getScore(yValues, splitBy, changeType),
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hide:
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hide ??
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// Only advertise very clear changes when XY chart is not active
|
|
((!currentState && changeType !== 'unchanged' && changeType !== 'extended') ||
|
|
// Don't advertise removing dimensions
|
|
(currentState && changeType === 'reduced')),
|
|
state,
|
|
previewIcon: getIconForSeries(seriesType),
|
|
};
|
|
}
|
|
|
|
function getScore(
|
|
yValues: TableSuggestionColumn[],
|
|
splitBy: TableSuggestionColumn | undefined,
|
|
changeType: TableChangeType
|
|
) {
|
|
// Unchanged table suggestions half the score because the underlying data doesn't change
|
|
const changeFactor = changeType === 'unchanged' ? 0.5 : 1;
|
|
// chart with multiple y values and split series will have a score of 1, single y value and no split series reduce score
|
|
return (((yValues.length > 1 ? 2 : 1) + (splitBy ? 1 : 0)) / 3) * changeFactor;
|
|
}
|
|
|
|
function getExistingLayer(currentState: XYState | undefined, layerId: string) {
|
|
return currentState && currentState.layers.find((layer) => layer.layerId === layerId);
|
|
}
|