/* * 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 {createHashMap, isObject, map, HashMap, isString} from 'zrender/src/core/util'; import Model from '../model/Model'; import { OrdinalNumber, OrdinalRawValue } from '../util/types'; let uidBase = 0; class OrdinalMeta { readonly categories: OrdinalRawValue[]; private _needCollect: boolean; private _deduplication: boolean; private _map: HashMap; readonly uid: number; constructor(opt: { categories?: OrdinalRawValue[], needCollect?: boolean deduplication?: boolean }) { this.categories = opt.categories || []; this._needCollect = opt.needCollect; this._deduplication = opt.deduplication; this.uid = ++uidBase; } static createByAxisModel(axisModel: Model): OrdinalMeta { const option = axisModel.option; const data = option.data; const categories = data && map(data, getName); return new OrdinalMeta({ categories: categories, needCollect: !categories, // deduplication is default in axis. deduplication: option.dedplication !== false }); }; getOrdinal(category: OrdinalRawValue): OrdinalNumber { // @ts-ignore return this._getOrCreateMap().get(category); } /** * @return The ordinal. If not found, return NaN. */ parseAndCollect(category: OrdinalRawValue | OrdinalNumber): OrdinalNumber { let index; const needCollect = this._needCollect; // The value of category dim can be the index of the given category set. // This feature is only supported when !needCollect, because we should // consider a common case: a value is 2017, which is a number but is // expected to be tread as a category. This case usually happen in dataset, // where it happent to be no need of the index feature. if (!isString(category) && !needCollect) { return category; } // Optimize for the scenario: // category is ['2012-01-01', '2012-01-02', ...], where the input // data has been ensured not duplicate and is large data. // Notice, if a dataset dimension provide categroies, usually echarts // should remove duplication except user tell echarts dont do that // (set axis.deduplication = false), because echarts do not know whether // the values in the category dimension has duplication (consider the // parallel-aqi example) if (needCollect && !this._deduplication) { index = this.categories.length; this.categories[index] = category; return index; } const map = this._getOrCreateMap(); // @ts-ignore index = map.get(category); if (index == null) { if (needCollect) { index = this.categories.length; this.categories[index] = category; // @ts-ignore map.set(category, index); } else { index = NaN; } } return index; } // Consider big data, do not create map until needed. private _getOrCreateMap(): HashMap { return this._map || ( this._map = createHashMap(this.categories) ); } } function getName(obj: any): string { if (isObject(obj) && obj.value != null) { return obj.value; } else { return obj + ''; } } export default OrdinalMeta;