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src/component/marker/markerHelper.ts
275 строк
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Ovilia
fix(marker): overwrite value only if type is not defined
19 июн 2025, 13:50
19 июн 2025, 13:50
ca03ff8
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/* * Licensed to the Apache Software Foundation (ASF) under one * or more contributor license agreements. See the NOTICE file * distributed with this work for additional information * regarding copyright ownership. The ASF licenses this file * to you under the Apache License, Version 2.0 (the * "License"); you may not use this file except in compliance * with the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, * software distributed under the License is distributed on an * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY * KIND, either express or implied. See the License for the * specific language governing permissions and limitations * under the License. */ import * as numberUtil from '../../util/number'; import {isDimensionStacked} from '../../data/helper/dataStackHelper'; import SeriesModel from '../../model/Series'; import SeriesData from '../../data/SeriesData'; import { MarkerStatisticType, MarkerPositionOption } from './MarkerModel'; import { indexOf, curry, clone, isArray } from 'zrender/src/core/util'; import Axis from '../../coord/Axis'; import { CoordinateSystem } from '../../coord/CoordinateSystem'; import { ScaleDataValue, ParsedValue, DimensionLoose, DimensionName } from '../../util/types'; import { parseDataValue } from '../../data/helper/dataValueHelper'; import SeriesDimensionDefine from '../../data/SeriesDimensionDefine'; interface MarkerAxisInfo { valueDataDim: DimensionName valueAxis: Axis baseAxis: Axis baseDataDim: DimensionName } export type MarkerDimValueGetter<TMarkerItemOption> = ( item: TMarkerItemOption, dimName: string, dataIndex: number, dimIndex: number ) => ParsedValue; function hasXOrY(item: MarkerPositionOption) { return !(isNaN(parseFloat(item.x as string)) && isNaN(parseFloat(item.y as string))); } function hasXAndY(item: MarkerPositionOption) { return !isNaN(parseFloat(item.x as string)) && !isNaN(parseFloat(item.y as string)); } function markerTypeCalculatorWithExtent( markerType: MarkerStatisticType, data: SeriesData, axisDim: string, otherDataDim: string, targetDataDim: string, otherCoordIndex: number, targetCoordIndex: number ): [ParsedValue[], ParsedValue] { const coordArr: ParsedValue[] = []; const stacked = isDimensionStacked(data, targetDataDim /* , otherDataDim */); const calcDataDim = stacked ? data.getCalculationInfo('stackResultDimension') : targetDataDim; const value = numCalculate(data, calcDataDim, markerType); const seriesModel = data.hostModel as SeriesModel; const dataIndex = seriesModel.indicesOfNearest( axisDim, calcDataDim, value )[0]; coordArr[otherCoordIndex] = data.get(otherDataDim, dataIndex); coordArr[targetCoordIndex] = data.get(calcDataDim, dataIndex); const coordArrValue = data.get(targetDataDim, dataIndex); // Make it simple, do not visit all stacked value to count precision. let precision = numberUtil.getPrecision(data.get(targetDataDim, dataIndex)); precision = Math.min(precision, 20); if (precision >= 0) { coordArr[targetCoordIndex] = +(coordArr[targetCoordIndex] as number).toFixed(precision); } return [coordArr, coordArrValue]; } // TODO Specified percent const markerTypeCalculator = { min: curry(markerTypeCalculatorWithExtent, 'min'), max: curry(markerTypeCalculatorWithExtent, 'max'), average: curry(markerTypeCalculatorWithExtent, 'average'), median: curry(markerTypeCalculatorWithExtent, 'median') }; /** * Transform markPoint data item to format used in List by do the following * 1. Calculate statistic like `max`, `min`, `average` * 2. Convert `item.xAxis`, `item.yAxis` to `item.coord` array */ export function dataTransform( seriesModel: SeriesModel, item: MarkerPositionOption ) { if (!item) { return; } const data = seriesModel.getData(); const coordSys = seriesModel.coordinateSystem; const dims = coordSys && coordSys.dimensions; // 1. If not specify the position with pixel directly // 2. If `coord` is not a data array. Which uses `xAxis`, // `yAxis` to specify the coord on each dimension // parseFloat first because item.x and item.y can be percent string like '20%' if (!hasXAndY(item) && !isArray(item.coord) && isArray(dims)) { const axisInfo = getAxisInfo(item, data, coordSys, seriesModel); // Clone the option // Transform the properties xAxis, yAxis, radiusAxis, angleAxis, geoCoord to value item = clone(item); if (item.type && markerTypeCalculator[item.type] && axisInfo.baseAxis && axisInfo.valueAxis ) { const otherCoordIndex = indexOf(dims, axisInfo.baseAxis.dim); const targetCoordIndex = indexOf(dims, axisInfo.valueAxis.dim); const coordInfo = markerTypeCalculator[item.type]( data, axisInfo.valueAxis.dim, axisInfo.baseDataDim, axisInfo.valueDataDim, otherCoordIndex, targetCoordIndex ); item.coord = coordInfo[0]; // Force to use the value of calculated value. // let item use the value without stack. item.value = coordInfo[1]; } else { // FIXME Only has one of xAxis and yAxis. item.coord = [ item.xAxis != null ? item.xAxis : item.radiusAxis, item.yAxis != null ? item.yAxis : item.angleAxis ]; } } // x y is provided if (item.coord == null || !isArray(dims)) { item.coord = []; const baseAxis = seriesModel.getBaseAxis(); if (baseAxis && item.type && markerTypeCalculator[item.type]) { const otherAxis = coordSys.getOtherAxis(baseAxis); if (otherAxis) { item.value = numCalculate(data, data.mapDimension(otherAxis.dim), item.type); } } } else { // Each coord support max, min, average const coord = item.coord; for (let i = 0; i < 2; i++) { if (markerTypeCalculator[coord[i] as MarkerStatisticType]) { coord[i] = numCalculate(data, data.mapDimension(dims[i]), coord[i] as MarkerStatisticType); } } } return item; } export function getAxisInfo( item: MarkerPositionOption, data: SeriesData, coordSys: CoordinateSystem, seriesModel: SeriesModel ) { const ret = {} as MarkerAxisInfo; if (item.valueIndex != null || item.valueDim != null) { ret.valueDataDim = item.valueIndex != null ? data.getDimension(item.valueIndex) : item.valueDim; ret.valueAxis = coordSys.getAxis(dataDimToCoordDim(seriesModel, ret.valueDataDim)); ret.baseAxis = coordSys.getOtherAxis(ret.valueAxis); ret.baseDataDim = data.mapDimension(ret.baseAxis.dim); } else { ret.baseAxis = seriesModel.getBaseAxis(); ret.valueAxis = coordSys.getOtherAxis(ret.baseAxis); ret.baseDataDim = data.mapDimension(ret.baseAxis.dim); ret.valueDataDim = data.mapDimension(ret.valueAxis.dim); } return ret; } function dataDimToCoordDim(seriesModel: SeriesModel, dataDim: DimensionLoose): DimensionName { const dimItem = seriesModel.getData().getDimensionInfo(dataDim); return dimItem && dimItem.coordDim; } /** * Filter data which is out of coordinateSystem range * [dataFilter description] */ export function dataFilter( // Currently only polar and cartesian has containData. coordSys: CoordinateSystem & { containData?(data: ScaleDataValue[]): boolean }, item: MarkerPositionOption ) { // Always return true if there is no coordSys return (coordSys && coordSys.containData && item.coord && !hasXOrY(item)) ? coordSys.containData(item.coord) : true; } export function zoneFilter( // Currently only polar and cartesian has containData. coordSys: CoordinateSystem & { containZone?(data1: ScaleDataValue[], data2: ScaleDataValue[]): boolean }, item1: MarkerPositionOption, item2: MarkerPositionOption ) { // Always return true if there is no coordSys return (coordSys && coordSys.containZone && item1.coord && item2.coord && !hasXOrY(item1) && !hasXOrY(item2)) ? coordSys.containZone(item1.coord, item2.coord) : true; } export function createMarkerDimValueGetter( inCoordSys: boolean, dims: SeriesDimensionDefine[] ): MarkerDimValueGetter<MarkerPositionOption> { return inCoordSys ? function (item, dimName, dataIndex, dimIndex) { const rawVal = dimIndex < 2 // x, y, radius, angle ? (item.coord && item.coord[dimIndex]) : item.value; return parseDataValue(rawVal, dims[dimIndex]); } : function (item, dimName, dataIndex, dimIndex) { return parseDataValue(item.value, dims[dimIndex]); }; } export function numCalculate( data: SeriesData, valueDataDim: string, type: MarkerStatisticType ) { if (type === 'average') { let sum = 0; let count = 0; data.each(valueDataDim, function (val: number, idx) { if (!isNaN(val)) { sum += val; count++; } }); return sum / count; } else if (type === 'median') { return data.getMedian(valueDataDim); } else { // max & min return data.getDataExtent(valueDataDim)[type === 'max' ? 1 : 0]; } }