| 1 |
- {"ast":null,"code":"import \"core-js/modules/es.array.push.js\";\n/*\n* Licensed to the Apache Software Foundation (ASF) under one\n* or more contributor license agreements. See the NOTICE file\n* distributed with this work for additional information\n* regarding copyright ownership. The ASF licenses this file\n* to you under the Apache License, Version 2.0 (the\n* \"License\"); you may not use this file except in compliance\n* with the License. You may obtain a copy of the License at\n*\n* http://www.apache.org/licenses/LICENSE-2.0\n*\n* Unless required by applicable law or agreed to in writing,\n* software distributed under the License is distributed on an\n* \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n* KIND, either express or implied. See the License for the\n* specific language governing permissions and limitations\n* under the License.\n*/\n\n/**\n * AUTO-GENERATED FILE. DO NOT MODIFY.\n */\n\n/*\r\n* Licensed to the Apache Software Foundation (ASF) under one\r\n* or more contributor license agreements. See the NOTICE file\r\n* distributed with this work for additional information\r\n* regarding copyright ownership. The ASF licenses this file\r\n* to you under the Apache License, Version 2.0 (the\r\n* \"License\"); you may not use this file except in compliance\r\n* with the License. You may obtain a copy of the License at\r\n*\r\n* http://www.apache.org/licenses/LICENSE-2.0\r\n*\r\n* Unless required by applicable law or agreed to in writing,\r\n* software distributed under the License is distributed on an\r\n* \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\r\n* KIND, either express or implied. See the License for the\r\n* specific language governing permissions and limitations\r\n* under the License.\r\n*/\nimport { __extends } from \"tslib\";\nimport SeriesModel from '../../model/Series.js';\nimport prepareSeriesDataSchema from '../../data/helper/createDimensions.js';\nimport { getDimensionTypeByAxis } from '../../data/helper/dimensionHelper.js';\nimport SeriesData from '../../data/SeriesData.js';\nimport * as zrUtil from 'zrender/lib/core/util.js';\nimport { groupData, SINGLE_REFERRING } from '../../util/model.js';\nimport LegendVisualProvider from '../../visual/LegendVisualProvider.js';\nimport { createTooltipMarkup } from '../../component/tooltip/tooltipMarkup.js';\nvar DATA_NAME_INDEX = 2;\nvar ThemeRiverSeriesModel = /** @class */function (_super) {\n __extends(ThemeRiverSeriesModel, _super);\n function ThemeRiverSeriesModel() {\n var _this = _super !== null && _super.apply(this, arguments) || this;\n _this.type = ThemeRiverSeriesModel.type;\n return _this;\n }\n /**\r\n * @override\r\n */\n ThemeRiverSeriesModel.prototype.init = function (option) {\n // eslint-disable-next-line\n _super.prototype.init.apply(this, arguments);\n // Put this function here is for the sake of consistency of code style.\n // Enable legend selection for each data item\n // Use a function instead of direct access because data reference may changed\n this.legendVisualProvider = new LegendVisualProvider(zrUtil.bind(this.getData, this), zrUtil.bind(this.getRawData, this));\n };\n /**\r\n * If there is no value of a certain point in the time for some event,set it value to 0.\r\n *\r\n * @param {Array} data initial data in the option\r\n * @return {Array}\r\n */\n ThemeRiverSeriesModel.prototype.fixData = function (data) {\n var rawDataLength = data.length;\n /**\r\n * Make sure every layer data get the same keys.\r\n * The value index tells which layer has visited.\r\n * {\r\n * 2014/01/01: -1\r\n * }\r\n */\n var timeValueKeys = {};\n // grouped data by name\n var groupResult = groupData(data, function (item) {\n if (!timeValueKeys.hasOwnProperty(item[0] + '')) {\n timeValueKeys[item[0] + ''] = -1;\n }\n return item[2];\n });\n var layerData = [];\n groupResult.buckets.each(function (items, key) {\n layerData.push({\n name: key,\n dataList: items\n });\n });\n var layerNum = layerData.length;\n for (var k = 0; k < layerNum; ++k) {\n var name_1 = layerData[k].name;\n for (var j = 0; j < layerData[k].dataList.length; ++j) {\n var timeValue = layerData[k].dataList[j][0] + '';\n timeValueKeys[timeValue] = k;\n }\n for (var timeValue in timeValueKeys) {\n if (timeValueKeys.hasOwnProperty(timeValue) && timeValueKeys[timeValue] !== k) {\n timeValueKeys[timeValue] = k;\n data[rawDataLength] = [timeValue, 0, name_1];\n rawDataLength++;\n }\n }\n }\n return data;\n };\n /**\r\n * @override\r\n * @param option the initial option that user gave\r\n * @param ecModel the model object for themeRiver option\r\n */\n ThemeRiverSeriesModel.prototype.getInitialData = function (option, ecModel) {\n var singleAxisModel = this.getReferringComponents('singleAxis', SINGLE_REFERRING).models[0];\n var axisType = singleAxisModel.get('type');\n // filter the data item with the value of label is undefined\n var filterData = zrUtil.filter(option.data, function (dataItem) {\n return dataItem[2] !== undefined;\n });\n // ??? TODO design a stage to transfer data for themeRiver and lines?\n var data = this.fixData(filterData || []);\n var nameList = [];\n var nameMap = this.nameMap = zrUtil.createHashMap();\n var count = 0;\n for (var i = 0; i < data.length; ++i) {\n nameList.push(data[i][DATA_NAME_INDEX]);\n if (!nameMap.get(data[i][DATA_NAME_INDEX])) {\n nameMap.set(data[i][DATA_NAME_INDEX], count);\n count++;\n }\n }\n var dimensions = prepareSeriesDataSchema(data, {\n coordDimensions: ['single'],\n dimensionsDefine: [{\n name: 'time',\n type: getDimensionTypeByAxis(axisType)\n }, {\n name: 'value',\n type: 'float'\n }, {\n name: 'name',\n type: 'ordinal'\n }],\n encodeDefine: {\n single: 0,\n value: 1,\n itemName: 2\n }\n }).dimensions;\n var list = new SeriesData(dimensions, this);\n list.initData(data);\n return list;\n };\n /**\r\n * The raw data is divided into multiple layers and each layer\r\n * has same name.\r\n */\n ThemeRiverSeriesModel.prototype.getLayerSeries = function () {\n var data = this.getData();\n var lenCount = data.count();\n var indexArr = [];\n for (var i = 0; i < lenCount; ++i) {\n indexArr[i] = i;\n }\n var timeDim = data.mapDimension('single');\n // data group by name\n var groupResult = groupData(indexArr, function (index) {\n return data.get('name', index);\n });\n var layerSeries = [];\n groupResult.buckets.each(function (items, key) {\n items.sort(function (index1, index2) {\n return data.get(timeDim, index1) - data.get(timeDim, index2);\n });\n layerSeries.push({\n name: key,\n indices: items\n });\n });\n return layerSeries;\n };\n /**\r\n * Get data indices for show tooltip content\r\n */\n ThemeRiverSeriesModel.prototype.getAxisTooltipData = function (dim, value, baseAxis) {\n if (!zrUtil.isArray(dim)) {\n dim = dim ? [dim] : [];\n }\n var data = this.getData();\n var layerSeries = this.getLayerSeries();\n var indices = [];\n var layerNum = layerSeries.length;\n var nestestValue;\n for (var i = 0; i < layerNum; ++i) {\n var minDist = Number.MAX_VALUE;\n var nearestIdx = -1;\n var pointNum = layerSeries[i].indices.length;\n for (var j = 0; j < pointNum; ++j) {\n var theValue = data.get(dim[0], layerSeries[i].indices[j]);\n var dist = Math.abs(theValue - value);\n if (dist <= minDist) {\n nestestValue = theValue;\n minDist = dist;\n nearestIdx = layerSeries[i].indices[j];\n }\n }\n indices.push(nearestIdx);\n }\n return {\n dataIndices: indices,\n nestestValue: nestestValue\n };\n };\n ThemeRiverSeriesModel.prototype.formatTooltip = function (dataIndex, multipleSeries, dataType) {\n var data = this.getData();\n var name = data.getName(dataIndex);\n var value = data.get(data.mapDimension('value'), dataIndex);\n return createTooltipMarkup('nameValue', {\n name: name,\n value: value\n });\n };\n ThemeRiverSeriesModel.type = 'series.themeRiver';\n ThemeRiverSeriesModel.dependencies = ['singleAxis'];\n ThemeRiverSeriesModel.defaultOption = {\n // zlevel: 0,\n z: 2,\n colorBy: 'data',\n coordinateSystem: 'singleAxis',\n // gap in axis's orthogonal orientation\n boundaryGap: ['10%', '10%'],\n // legendHoverLink: true,\n singleAxisIndex: 0,\n animationEasing: 'linear',\n label: {\n margin: 4,\n show: true,\n position: 'left',\n fontSize: 11\n },\n emphasis: {\n label: {\n show: true\n }\n }\n };\n return ThemeRiverSeriesModel;\n}(SeriesModel);\nexport default ThemeRiverSeriesModel;","map":{"version":3,"names":["__extends","SeriesModel","prepareSeriesDataSchema","getDimensionTypeByAxis","SeriesData","zrUtil","groupData","SINGLE_REFERRING","LegendVisualProvider","createTooltipMarkup","DATA_NAME_INDEX","ThemeRiverSeriesModel","_super","_this","apply","arguments","type","prototype","init","option","legendVisualProvider","bind","getData","getRawData","fixData","data","rawDataLength","length","timeValueKeys","groupResult","item","hasOwnProperty","layerData","buckets","each","items","key","push","name","dataList","layerNum","k","name_1","j","timeValue","getInitialData","ecModel","singleAxisModel","getReferringComponents","models","axisType","get","filterData","filter","dataItem","undefined","nameList","nameMap","createHashMap","count","i","set","dimensions","coordDimensions","dimensionsDefine","encodeDefine","single","value","itemName","list","initData","getLayerSeries","lenCount","indexArr","timeDim","mapDimension","index","layerSeries","sort","index1","index2","indices","getAxisTooltipData","dim","baseAxis","isArray","nestestValue","minDist","Number","MAX_VALUE","nearestIdx","pointNum","theValue","dist","Math","abs","dataIndices","formatTooltip","dataIndex","multipleSeries","dataType","getName","dependencies","defaultOption","z","colorBy","coordinateSystem","boundaryGap","singleAxisIndex","animationEasing","label","margin","show","position","fontSize","emphasis"],"sources":["E:/git/2021项目/安科院大屏/node_modules/echarts/lib/chart/themeRiver/ThemeRiverSeries.js"],"sourcesContent":["\n/*\n* Licensed to the Apache Software Foundation (ASF) under one\n* or more contributor license agreements. See the NOTICE file\n* distributed with this work for additional information\n* regarding copyright ownership. The ASF licenses this file\n* to you under the Apache License, Version 2.0 (the\n* \"License\"); you may not use this file except in compliance\n* with the License. You may obtain a copy of the License at\n*\n* http://www.apache.org/licenses/LICENSE-2.0\n*\n* Unless required by applicable law or agreed to in writing,\n* software distributed under the License is distributed on an\n* \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n* KIND, either express or implied. See the License for the\n* specific language governing permissions and limitations\n* under the License.\n*/\n\n\n/**\n * AUTO-GENERATED FILE. DO NOT MODIFY.\n */\n\n/*\r\n* Licensed to the Apache Software Foundation (ASF) under one\r\n* or more contributor license agreements. See the NOTICE file\r\n* distributed with this work for additional information\r\n* regarding copyright ownership. The ASF licenses this file\r\n* to you under the Apache License, Version 2.0 (the\r\n* \"License\"); you may not use this file except in compliance\r\n* with the License. You may obtain a copy of the License at\r\n*\r\n* http://www.apache.org/licenses/LICENSE-2.0\r\n*\r\n* Unless required by applicable law or agreed to in writing,\r\n* software distributed under the License is distributed on an\r\n* \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\r\n* KIND, either express or implied. See the License for the\r\n* specific language governing permissions and limitations\r\n* under the License.\r\n*/\nimport { __extends } from \"tslib\";\nimport SeriesModel from '../../model/Series.js';\nimport prepareSeriesDataSchema from '../../data/helper/createDimensions.js';\nimport { getDimensionTypeByAxis } from '../../data/helper/dimensionHelper.js';\nimport SeriesData from '../../data/SeriesData.js';\nimport * as zrUtil from 'zrender/lib/core/util.js';\nimport { groupData, SINGLE_REFERRING } from '../../util/model.js';\nimport LegendVisualProvider from '../../visual/LegendVisualProvider.js';\nimport { createTooltipMarkup } from '../../component/tooltip/tooltipMarkup.js';\nvar DATA_NAME_INDEX = 2;\nvar ThemeRiverSeriesModel = /** @class */function (_super) {\n __extends(ThemeRiverSeriesModel, _super);\n function ThemeRiverSeriesModel() {\n var _this = _super !== null && _super.apply(this, arguments) || this;\n _this.type = ThemeRiverSeriesModel.type;\n return _this;\n }\n /**\r\n * @override\r\n */\n ThemeRiverSeriesModel.prototype.init = function (option) {\n // eslint-disable-next-line\n _super.prototype.init.apply(this, arguments);\n // Put this function here is for the sake of consistency of code style.\n // Enable legend selection for each data item\n // Use a function instead of direct access because data reference may changed\n this.legendVisualProvider = new LegendVisualProvider(zrUtil.bind(this.getData, this), zrUtil.bind(this.getRawData, this));\n };\n /**\r\n * If there is no value of a certain point in the time for some event,set it value to 0.\r\n *\r\n * @param {Array} data initial data in the option\r\n * @return {Array}\r\n */\n ThemeRiverSeriesModel.prototype.fixData = function (data) {\n var rawDataLength = data.length;\n /**\r\n * Make sure every layer data get the same keys.\r\n * The value index tells which layer has visited.\r\n * {\r\n * 2014/01/01: -1\r\n * }\r\n */\n var timeValueKeys = {};\n // grouped data by name\n var groupResult = groupData(data, function (item) {\n if (!timeValueKeys.hasOwnProperty(item[0] + '')) {\n timeValueKeys[item[0] + ''] = -1;\n }\n return item[2];\n });\n var layerData = [];\n groupResult.buckets.each(function (items, key) {\n layerData.push({\n name: key,\n dataList: items\n });\n });\n var layerNum = layerData.length;\n for (var k = 0; k < layerNum; ++k) {\n var name_1 = layerData[k].name;\n for (var j = 0; j < layerData[k].dataList.length; ++j) {\n var timeValue = layerData[k].dataList[j][0] + '';\n timeValueKeys[timeValue] = k;\n }\n for (var timeValue in timeValueKeys) {\n if (timeValueKeys.hasOwnProperty(timeValue) && timeValueKeys[timeValue] !== k) {\n timeValueKeys[timeValue] = k;\n data[rawDataLength] = [timeValue, 0, name_1];\n rawDataLength++;\n }\n }\n }\n return data;\n };\n /**\r\n * @override\r\n * @param option the initial option that user gave\r\n * @param ecModel the model object for themeRiver option\r\n */\n ThemeRiverSeriesModel.prototype.getInitialData = function (option, ecModel) {\n var singleAxisModel = this.getReferringComponents('singleAxis', SINGLE_REFERRING).models[0];\n var axisType = singleAxisModel.get('type');\n // filter the data item with the value of label is undefined\n var filterData = zrUtil.filter(option.data, function (dataItem) {\n return dataItem[2] !== undefined;\n });\n // ??? TODO design a stage to transfer data for themeRiver and lines?\n var data = this.fixData(filterData || []);\n var nameList = [];\n var nameMap = this.nameMap = zrUtil.createHashMap();\n var count = 0;\n for (var i = 0; i < data.length; ++i) {\n nameList.push(data[i][DATA_NAME_INDEX]);\n if (!nameMap.get(data[i][DATA_NAME_INDEX])) {\n nameMap.set(data[i][DATA_NAME_INDEX], count);\n count++;\n }\n }\n var dimensions = prepareSeriesDataSchema(data, {\n coordDimensions: ['single'],\n dimensionsDefine: [{\n name: 'time',\n type: getDimensionTypeByAxis(axisType)\n }, {\n name: 'value',\n type: 'float'\n }, {\n name: 'name',\n type: 'ordinal'\n }],\n encodeDefine: {\n single: 0,\n value: 1,\n itemName: 2\n }\n }).dimensions;\n var list = new SeriesData(dimensions, this);\n list.initData(data);\n return list;\n };\n /**\r\n * The raw data is divided into multiple layers and each layer\r\n * has same name.\r\n */\n ThemeRiverSeriesModel.prototype.getLayerSeries = function () {\n var data = this.getData();\n var lenCount = data.count();\n var indexArr = [];\n for (var i = 0; i < lenCount; ++i) {\n indexArr[i] = i;\n }\n var timeDim = data.mapDimension('single');\n // data group by name\n var groupResult = groupData(indexArr, function (index) {\n return data.get('name', index);\n });\n var layerSeries = [];\n groupResult.buckets.each(function (items, key) {\n items.sort(function (index1, index2) {\n return data.get(timeDim, index1) - data.get(timeDim, index2);\n });\n layerSeries.push({\n name: key,\n indices: items\n });\n });\n return layerSeries;\n };\n /**\r\n * Get data indices for show tooltip content\r\n */\n ThemeRiverSeriesModel.prototype.getAxisTooltipData = function (dim, value, baseAxis) {\n if (!zrUtil.isArray(dim)) {\n dim = dim ? [dim] : [];\n }\n var data = this.getData();\n var layerSeries = this.getLayerSeries();\n var indices = [];\n var layerNum = layerSeries.length;\n var nestestValue;\n for (var i = 0; i < layerNum; ++i) {\n var minDist = Number.MAX_VALUE;\n var nearestIdx = -1;\n var pointNum = layerSeries[i].indices.length;\n for (var j = 0; j < pointNum; ++j) {\n var theValue = data.get(dim[0], layerSeries[i].indices[j]);\n var dist = Math.abs(theValue - value);\n if (dist <= minDist) {\n nestestValue = theValue;\n minDist = dist;\n nearestIdx = layerSeries[i].indices[j];\n }\n }\n indices.push(nearestIdx);\n }\n return {\n dataIndices: indices,\n nestestValue: nestestValue\n };\n };\n ThemeRiverSeriesModel.prototype.formatTooltip = function (dataIndex, multipleSeries, dataType) {\n var data = this.getData();\n var name = data.getName(dataIndex);\n var value = data.get(data.mapDimension('value'), dataIndex);\n return createTooltipMarkup('nameValue', {\n name: name,\n value: value\n });\n };\n ThemeRiverSeriesModel.type = 'series.themeRiver';\n ThemeRiverSeriesModel.dependencies = ['singleAxis'];\n ThemeRiverSeriesModel.defaultOption = {\n // zlevel: 0,\n z: 2,\n colorBy: 'data',\n coordinateSystem: 'singleAxis',\n // gap in axis's orthogonal orientation\n boundaryGap: ['10%', '10%'],\n // legendHoverLink: true,\n singleAxisIndex: 0,\n animationEasing: 'linear',\n label: {\n margin: 4,\n show: true,\n position: 'left',\n fontSize: 11\n },\n emphasis: {\n label: {\n show: true\n }\n }\n };\n return ThemeRiverSeriesModel;\n}(SeriesModel);\nexport default 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