322 lines
13 KiB
JavaScript
322 lines
13 KiB
JavaScript
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/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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/**
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* AUTO-GENERATED FILE. DO NOT MODIFY.
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*/
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/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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import { VISUAL_DIMENSIONS } from '../../util/types.js';
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import SeriesDimensionDefine from '../SeriesDimensionDefine.js';
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import { createHashMap, defaults, each, extend, isObject, isString } from 'zrender/lib/core/util.js';
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import { createSourceFromSeriesDataOption, isSourceInstance } from '../Source.js';
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import { CtorInt32Array } from '../DataStore.js';
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import { normalizeToArray } from '../../util/model.js';
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import { BE_ORDINAL, guessOrdinal } from './sourceHelper.js';
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import { createDimNameMap, ensureSourceDimNameMap, SeriesDataSchema, shouldOmitUnusedDimensions } from './SeriesDataSchema.js';
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/**
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* For outside usage compat (like echarts-gl are using it).
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*/
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export function createDimensions(source, opt) {
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return prepareSeriesDataSchema(source, opt).dimensions;
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}
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/**
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* This method builds the relationship between:
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* + "what the coord sys or series requires (see `coordDimensions`)",
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* + "what the user defines (in `encode` and `dimensions`, see `opt.dimensionsDefine` and `opt.encodeDefine`)"
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* + "what the data source provids (see `source`)".
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*
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* Some guess strategy will be adapted if user does not define something.
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* If no 'value' dimension specified, the first no-named dimension will be
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* named as 'value'.
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*
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* @return The results are always sorted by `storeDimIndex` asc.
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*/
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export default function prepareSeriesDataSchema(
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// TODO: TYPE completeDimensions type
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source, opt) {
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if (!isSourceInstance(source)) {
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source = createSourceFromSeriesDataOption(source);
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}
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opt = opt || {};
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var sysDims = opt.coordDimensions || [];
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var dimsDef = opt.dimensionsDefine || source.dimensionsDefine || [];
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var coordDimNameMap = createHashMap();
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var resultList = [];
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var dimCount = getDimCount(source, sysDims, dimsDef, opt.dimensionsCount);
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// Try to ignore unused dimensions if sharing a high dimension datastore
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// 30 is an experience value.
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var omitUnusedDimensions = opt.canOmitUnusedDimensions && shouldOmitUnusedDimensions(dimCount);
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var isUsingSourceDimensionsDef = dimsDef === source.dimensionsDefine;
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var dataDimNameMap = isUsingSourceDimensionsDef ? ensureSourceDimNameMap(source) : createDimNameMap(dimsDef);
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var encodeDef = opt.encodeDefine;
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if (!encodeDef && opt.encodeDefaulter) {
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encodeDef = opt.encodeDefaulter(source, dimCount);
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}
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var encodeDefMap = createHashMap(encodeDef);
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var indicesMap = new CtorInt32Array(dimCount);
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for (var i = 0; i < indicesMap.length; i++) {
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indicesMap[i] = -1;
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}
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function getResultItem(dimIdx) {
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var idx = indicesMap[dimIdx];
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if (idx < 0) {
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var dimDefItemRaw = dimsDef[dimIdx];
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var dimDefItem = isObject(dimDefItemRaw) ? dimDefItemRaw : {
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name: dimDefItemRaw
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};
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var resultItem = new SeriesDimensionDefine();
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var userDimName = dimDefItem.name;
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if (userDimName != null && dataDimNameMap.get(userDimName) != null) {
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// Only if `series.dimensions` is defined in option
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// displayName, will be set, and dimension will be displayed vertically in
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// tooltip by default.
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resultItem.name = resultItem.displayName = userDimName;
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}
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dimDefItem.type != null && (resultItem.type = dimDefItem.type);
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dimDefItem.displayName != null && (resultItem.displayName = dimDefItem.displayName);
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var newIdx = resultList.length;
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indicesMap[dimIdx] = newIdx;
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resultItem.storeDimIndex = dimIdx;
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resultList.push(resultItem);
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return resultItem;
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}
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return resultList[idx];
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}
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if (!omitUnusedDimensions) {
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for (var i = 0; i < dimCount; i++) {
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getResultItem(i);
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}
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}
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// Set `coordDim` and `coordDimIndex` by `encodeDefMap` and normalize `encodeDefMap`.
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encodeDefMap.each(function (dataDimsRaw, coordDim) {
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var dataDims = normalizeToArray(dataDimsRaw).slice();
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// Note: It is allowed that `dataDims.length` is `0`, e.g., options is
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// `{encode: {x: -1, y: 1}}`. Should not filter anything in
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// this case.
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if (dataDims.length === 1 && !isString(dataDims[0]) && dataDims[0] < 0) {
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encodeDefMap.set(coordDim, false);
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return;
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}
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var validDataDims = encodeDefMap.set(coordDim, []);
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each(dataDims, function (resultDimIdxOrName, idx) {
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// The input resultDimIdx can be dim name or index.
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var resultDimIdx = isString(resultDimIdxOrName) ? dataDimNameMap.get(resultDimIdxOrName) : resultDimIdxOrName;
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if (resultDimIdx != null && resultDimIdx < dimCount) {
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validDataDims[idx] = resultDimIdx;
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applyDim(getResultItem(resultDimIdx), coordDim, idx);
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}
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});
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});
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// Apply templates and default order from `sysDims`.
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var availDimIdx = 0;
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each(sysDims, function (sysDimItemRaw) {
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var coordDim;
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var sysDimItemDimsDef;
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var sysDimItemOtherDims;
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var sysDimItem;
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if (isString(sysDimItemRaw)) {
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coordDim = sysDimItemRaw;
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sysDimItem = {};
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} else {
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sysDimItem = sysDimItemRaw;
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coordDim = sysDimItem.name;
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var ordinalMeta = sysDimItem.ordinalMeta;
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sysDimItem.ordinalMeta = null;
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sysDimItem = extend({}, sysDimItem);
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sysDimItem.ordinalMeta = ordinalMeta;
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// `coordDimIndex` should not be set directly.
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sysDimItemDimsDef = sysDimItem.dimsDef;
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sysDimItemOtherDims = sysDimItem.otherDims;
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sysDimItem.name = sysDimItem.coordDim = sysDimItem.coordDimIndex = sysDimItem.dimsDef = sysDimItem.otherDims = null;
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}
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var dataDims = encodeDefMap.get(coordDim);
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// negative resultDimIdx means no need to mapping.
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if (dataDims === false) {
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return;
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}
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dataDims = normalizeToArray(dataDims);
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// dimensions provides default dim sequences.
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if (!dataDims.length) {
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for (var i = 0; i < (sysDimItemDimsDef && sysDimItemDimsDef.length || 1); i++) {
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while (availDimIdx < dimCount && getResultItem(availDimIdx).coordDim != null) {
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availDimIdx++;
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}
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availDimIdx < dimCount && dataDims.push(availDimIdx++);
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}
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}
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// Apply templates.
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each(dataDims, function (resultDimIdx, coordDimIndex) {
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var resultItem = getResultItem(resultDimIdx);
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// Coordinate system has a higher priority on dim type than source.
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if (isUsingSourceDimensionsDef && sysDimItem.type != null) {
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resultItem.type = sysDimItem.type;
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}
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applyDim(defaults(resultItem, sysDimItem), coordDim, coordDimIndex);
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if (resultItem.name == null && sysDimItemDimsDef) {
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var sysDimItemDimsDefItem = sysDimItemDimsDef[coordDimIndex];
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!isObject(sysDimItemDimsDefItem) && (sysDimItemDimsDefItem = {
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name: sysDimItemDimsDefItem
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});
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resultItem.name = resultItem.displayName = sysDimItemDimsDefItem.name;
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resultItem.defaultTooltip = sysDimItemDimsDefItem.defaultTooltip;
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}
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// FIXME refactor, currently only used in case: {otherDims: {tooltip: false}}
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sysDimItemOtherDims && defaults(resultItem.otherDims, sysDimItemOtherDims);
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});
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});
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function applyDim(resultItem, coordDim, coordDimIndex) {
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if (VISUAL_DIMENSIONS.get(coordDim) != null) {
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resultItem.otherDims[coordDim] = coordDimIndex;
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} else {
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resultItem.coordDim = coordDim;
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resultItem.coordDimIndex = coordDimIndex;
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coordDimNameMap.set(coordDim, true);
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}
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}
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// Make sure the first extra dim is 'value'.
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var generateCoord = opt.generateCoord;
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var generateCoordCount = opt.generateCoordCount;
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var fromZero = generateCoordCount != null;
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generateCoordCount = generateCoord ? generateCoordCount || 1 : 0;
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var extra = generateCoord || 'value';
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function ifNoNameFillWithCoordName(resultItem) {
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if (resultItem.name == null) {
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// Duplication will be removed in the next step.
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resultItem.name = resultItem.coordDim;
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}
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}
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// Set dim `name` and other `coordDim` and other props.
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if (!omitUnusedDimensions) {
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for (var resultDimIdx = 0; resultDimIdx < dimCount; resultDimIdx++) {
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var resultItem = getResultItem(resultDimIdx);
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var coordDim = resultItem.coordDim;
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if (coordDim == null) {
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// TODO no need to generate coordDim for isExtraCoord?
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resultItem.coordDim = genCoordDimName(extra, coordDimNameMap, fromZero);
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resultItem.coordDimIndex = 0;
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// Series specified generateCoord is using out.
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if (!generateCoord || generateCoordCount <= 0) {
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resultItem.isExtraCoord = true;
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}
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generateCoordCount--;
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}
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ifNoNameFillWithCoordName(resultItem);
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if (resultItem.type == null && (guessOrdinal(source, resultDimIdx) === BE_ORDINAL.Must
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// Consider the case:
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// {
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// dataset: {source: [
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// ['2001', 123],
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// ['2002', 456],
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// ...
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// ['The others', 987],
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// ]},
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// series: {type: 'pie'}
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// }
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// The first column should better be treated as a "ordinal" although it
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// might not be detected as an "ordinal" by `guessOrdinal`.
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|| resultItem.isExtraCoord && (resultItem.otherDims.itemName != null || resultItem.otherDims.seriesName != null))) {
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resultItem.type = 'ordinal';
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}
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}
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} else {
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each(resultList, function (resultItem) {
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// PENDING: guessOrdinal or let user specify type: 'ordinal' manually?
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ifNoNameFillWithCoordName(resultItem);
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});
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// Sort dimensions: there are some rule that use the last dim as label,
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// and for some latter travel process easier.
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resultList.sort(function (item0, item1) {
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return item0.storeDimIndex - item1.storeDimIndex;
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});
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}
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removeDuplication(resultList);
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return new SeriesDataSchema({
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source: source,
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dimensions: resultList,
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fullDimensionCount: dimCount,
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dimensionOmitted: omitUnusedDimensions
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});
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}
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function removeDuplication(result) {
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var duplicationMap = createHashMap();
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for (var i = 0; i < result.length; i++) {
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var dim = result[i];
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var dimOriginalName = dim.name;
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var count = duplicationMap.get(dimOriginalName) || 0;
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if (count > 0) {
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// Starts from 0.
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dim.name = dimOriginalName + (count - 1);
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}
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count++;
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duplicationMap.set(dimOriginalName, count);
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}
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}
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// ??? TODO
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// Originally detect dimCount by data[0]. Should we
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// optimize it to only by sysDims and dimensions and encode.
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// So only necessary dims will be initialized.
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// But
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// (1) custom series should be considered. where other dims
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// may be visited.
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// (2) sometimes user need to calculate bubble size or use visualMap
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// on other dimensions besides coordSys needed.
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// So, dims that is not used by system, should be shared in data store?
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function getDimCount(source, sysDims, dimsDef, optDimCount) {
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// Note that the result dimCount should not small than columns count
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// of data, otherwise `dataDimNameMap` checking will be incorrect.
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var dimCount = Math.max(source.dimensionsDetectedCount || 1, sysDims.length, dimsDef.length, optDimCount || 0);
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each(sysDims, function (sysDimItem) {
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var sysDimItemDimsDef;
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if (isObject(sysDimItem) && (sysDimItemDimsDef = sysDimItem.dimsDef)) {
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dimCount = Math.max(dimCount, sysDimItemDimsDef.length);
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}
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});
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return dimCount;
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}
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function genCoordDimName(name, map, fromZero) {
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if (fromZero || map.hasKey(name)) {
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var i = 0;
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while (map.hasKey(name + i)) {
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i++;
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}
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name += i;
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}
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map.set(name, true);
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return name;
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}
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