| /* | 
 | * 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, | 
 |     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 dataIndex = data.indicesOfNearest(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.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) && coordSys) { | 
 |         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.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) { | 
 |         item.coord = []; | 
 |     } | 
 |     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]; | 
 |     } | 
 | } |