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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 { createHashMap, isObject, retrieve2 } from 'zrender/lib/core/util.js';
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import { makeInner } from '../../util/model.js';
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import { shouldRetrieveDataByName } from '../Source.js';
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var inner = makeInner();
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var dimTypeShort = {
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float: 'f',
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int: 'i',
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ordinal: 'o',
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number: 'n',
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time: 't'
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};
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/**
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* Represents the dimension requirement of a series.
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*
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* NOTICE:
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* When there are too many dimensions in dataset and many series, only the used dimensions
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* (i.e., used by coord sys and declared in `series.encode`) are add to `dimensionDefineList`.
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* But users may query data by other unused dimension names.
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* In this case, users can only query data if and only if they have defined dimension names
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* via ec option, so we provide `getDimensionIndexFromSource`, which only query them from
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* `source` dimensions.
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*/
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var SeriesDataSchema =
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/** @class */
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function () {
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function SeriesDataSchema(opt) {
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this.dimensions = opt.dimensions;
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this._dimOmitted = opt.dimensionOmitted;
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this.source = opt.source;
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this._fullDimCount = opt.fullDimensionCount;
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this._updateDimOmitted(opt.dimensionOmitted);
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}
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SeriesDataSchema.prototype.isDimensionOmitted = function () {
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return this._dimOmitted;
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};
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SeriesDataSchema.prototype._updateDimOmitted = function (dimensionOmitted) {
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this._dimOmitted = dimensionOmitted;
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if (!dimensionOmitted) {
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return;
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}
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if (!this._dimNameMap) {
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this._dimNameMap = ensureSourceDimNameMap(this.source);
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}
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};
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/**
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* @caution Can only be used when `dimensionOmitted: true`.
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*
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* Get index by user defined dimension name (i.e., not internal generate name).
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* That is, get index from `dimensionsDefine`.
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* If no `dimensionsDefine`, or no name get, return -1.
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*/
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SeriesDataSchema.prototype.getSourceDimensionIndex = function (dimName) {
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return retrieve2(this._dimNameMap.get(dimName), -1);
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};
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/**
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* @caution Can only be used when `dimensionOmitted: true`.
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*
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* Notice: may return `null`/`undefined` if user not specify dimension names.
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*/
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SeriesDataSchema.prototype.getSourceDimension = function (dimIndex) {
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var dimensionsDefine = this.source.dimensionsDefine;
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if (dimensionsDefine) {
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return dimensionsDefine[dimIndex];
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}
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};
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SeriesDataSchema.prototype.makeStoreSchema = function () {
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var dimCount = this._fullDimCount;
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var willRetrieveDataByName = shouldRetrieveDataByName(this.source);
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var makeHashStrict = !shouldOmitUnusedDimensions(dimCount); // If source don't have dimensions or series don't omit unsed dimensions.
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// Generate from seriesDimList directly
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var dimHash = '';
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var dims = [];
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for (var fullDimIdx = 0, seriesDimIdx = 0; fullDimIdx < dimCount; fullDimIdx++) {
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var property = void 0;
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var type = void 0;
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var ordinalMeta = void 0;
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var seriesDimDef = this.dimensions[seriesDimIdx]; // The list has been sorted by `storeDimIndex` asc.
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if (seriesDimDef && seriesDimDef.storeDimIndex === fullDimIdx) {
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property = willRetrieveDataByName ? seriesDimDef.name : null;
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type = seriesDimDef.type;
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ordinalMeta = seriesDimDef.ordinalMeta;
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seriesDimIdx++;
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} else {
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var sourceDimDef = this.getSourceDimension(fullDimIdx);
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if (sourceDimDef) {
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property = willRetrieveDataByName ? sourceDimDef.name : null;
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type = sourceDimDef.type;
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}
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}
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dims.push({
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property: property,
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type: type,
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ordinalMeta: ordinalMeta
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}); // If retrieving data by index,
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// use <index, type, ordinalMeta> to determine whether data can be shared.
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// (Becuase in this case there might be no dimension name defined in dataset, but indices always exists).
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// (indices are always 0, 1, 2, ..., so we can ignore them to shorten the hash).
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// Otherwise if retrieving data by property name (like `data: [{aa: 123, bb: 765}, ...]`),
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// use <property, type, ordinalMeta> in hash.
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if (willRetrieveDataByName && property != null // For data stack, we have make sure each series has its own dim on this store.
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// So we do not add property to hash to make sure they can share this store.
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&& (!seriesDimDef || !seriesDimDef.isCalculationCoord)) {
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dimHash += makeHashStrict // Use escape character '`' in case that property name contains '$'.
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? property.replace(/\`/g, '`1').replace(/\$/g, '`2') // For better performance, when there are large dimensions, tolerant this defects that hardly meet.
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: property;
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}
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dimHash += '$';
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dimHash += dimTypeShort[type] || 'f';
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if (ordinalMeta) {
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dimHash += ordinalMeta.uid;
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}
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dimHash += '$';
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} // Source from endpoint(usually series) will be read differently
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// when seriesLayoutBy or startIndex(which is affected by sourceHeader) are different.
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// So we use this three props as key.
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var source = this.source;
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var hash = [source.seriesLayoutBy, source.startIndex, dimHash].join('$$');
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return {
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dimensions: dims,
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hash: hash
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};
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};
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SeriesDataSchema.prototype.makeOutputDimensionNames = function () {
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var result = [];
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for (var fullDimIdx = 0, seriesDimIdx = 0; fullDimIdx < this._fullDimCount; fullDimIdx++) {
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var name_1 = void 0;
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var seriesDimDef = this.dimensions[seriesDimIdx]; // The list has been sorted by `storeDimIndex` asc.
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if (seriesDimDef && seriesDimDef.storeDimIndex === fullDimIdx) {
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if (!seriesDimDef.isCalculationCoord) {
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name_1 = seriesDimDef.name;
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}
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seriesDimIdx++;
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} else {
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var sourceDimDef = this.getSourceDimension(fullDimIdx);
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if (sourceDimDef) {
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name_1 = sourceDimDef.name;
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}
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}
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result.push(name_1);
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}
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return result;
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};
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SeriesDataSchema.prototype.appendCalculationDimension = function (dimDef) {
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this.dimensions.push(dimDef);
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dimDef.isCalculationCoord = true;
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this._fullDimCount++; // If append dimension on a data store, consider the store
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// might be shared by different series, series dimensions not
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// really map to store dimensions.
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this._updateDimOmitted(true);
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};
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return SeriesDataSchema;
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}();
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export { SeriesDataSchema };
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export function isSeriesDataSchema(schema) {
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return schema instanceof SeriesDataSchema;
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}
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export function createDimNameMap(dimsDef) {
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var dataDimNameMap = createHashMap();
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for (var i = 0; i < (dimsDef || []).length; i++) {
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var dimDefItemRaw = dimsDef[i];
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var userDimName = isObject(dimDefItemRaw) ? dimDefItemRaw.name : dimDefItemRaw;
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if (userDimName != null && dataDimNameMap.get(userDimName) == null) {
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dataDimNameMap.set(userDimName, i);
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}
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}
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return dataDimNameMap;
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}
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export function ensureSourceDimNameMap(source) {
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var innerSource = inner(source);
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return innerSource.dimNameMap || (innerSource.dimNameMap = createDimNameMap(source.dimensionsDefine));
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}
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export function shouldOmitUnusedDimensions(dimCount) {
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return dimCount > 30;
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}
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