lepu-test-platform-web/node_modules/echarts/lib/data/helper/completeDimensions.js

324 lines
12 KiB
JavaScript

/*
* 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.
*/
var _util = require("zrender/lib/core/util");
var createHashMap = _util.createHashMap;
var each = _util.each;
var isString = _util.isString;
var defaults = _util.defaults;
var extend = _util.extend;
var isObject = _util.isObject;
var clone = _util.clone;
var _model = require("../../util/model");
var normalizeToArray = _model.normalizeToArray;
var _sourceHelper = require("./sourceHelper");
var guessOrdinal = _sourceHelper.guessOrdinal;
var BE_ORDINAL = _sourceHelper.BE_ORDINAL;
var Source = require("../Source");
var _dimensionHelper = require("./dimensionHelper");
var OTHER_DIMENSIONS = _dimensionHelper.OTHER_DIMENSIONS;
var DataDimensionInfo = require("../DataDimensionInfo");
/*
* 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.
*/
/**
* @deprecated
* Use `echarts/data/helper/createDimensions` instead.
*/
/**
* @see {module:echarts/test/ut/spec/data/completeDimensions}
*
* This method builds the relationship between:
* + "what the coord sys or series requires (see `sysDims`)",
* + "what the user defines (in `encode` and `dimensions`, see `opt.dimsDef` and `opt.encodeDef`)"
* + "what the data source provids (see `source`)".
*
* Some guess strategy will be adapted if user does not define something.
* If no 'value' dimension specified, the first no-named dimension will be
* named as 'value'.
*
* @param {Array.<string>} sysDims Necessary dimensions, like ['x', 'y'], which
* provides not only dim template, but also default order.
* properties: 'name', 'type', 'displayName'.
* `name` of each item provides default coord name.
* [{dimsDef: [string|Object, ...]}, ...] dimsDef of sysDim item provides default dim name, and
* provide dims count that the sysDim required.
* [{ordinalMeta}] can be specified.
* @param {module:echarts/data/Source|Array|Object} source or data (for compatibal with pervious)
* @param {Object} [opt]
* @param {Array.<Object|string>} [opt.dimsDef] option.series.dimensions User defined dimensions
* For example: ['asdf', {name, type}, ...].
* @param {Object|HashMap} [opt.encodeDef] option.series.encode {x: 2, y: [3, 1], tooltip: [1, 2], label: 3}
* @param {Function} [opt.encodeDefaulter] Called if no `opt.encodeDef` exists.
* If not specified, auto find the next available data dim.
* param source {module:data/Source}
* param dimCount {number}
* return {Object} encode Never be `null/undefined`.
* @param {string} [opt.generateCoord] Generate coord dim with the given name.
* If not specified, extra dim names will be:
* 'value', 'value0', 'value1', ...
* @param {number} [opt.generateCoordCount] By default, the generated dim name is `generateCoord`.
* If `generateCoordCount` specified, the generated dim names will be:
* `generateCoord` + 0, `generateCoord` + 1, ...
* can be Infinity, indicate that use all of the remain columns.
* @param {number} [opt.dimCount] If not specified, guess by the first data item.
* @return {Array.<module:data/DataDimensionInfo>}
*/
function completeDimensions(sysDims, source, opt) {
if (!Source.isInstance(source)) {
source = Source.seriesDataToSource(source);
}
opt = opt || {};
sysDims = (sysDims || []).slice();
var dimsDef = (opt.dimsDef || []).slice();
var dataDimNameMap = createHashMap();
var coordDimNameMap = createHashMap(); // var valueCandidate;
var result = [];
var dimCount = getDimCount(source, sysDims, dimsDef, opt.dimCount); // Apply user defined dims (`name` and `type`) and init result.
for (var i = 0; i < dimCount; i++) {
var dimDefItem = dimsDef[i] = extend({}, isObject(dimsDef[i]) ? dimsDef[i] : {
name: dimsDef[i]
});
var userDimName = dimDefItem.name;
var resultItem = result[i] = new DataDimensionInfo(); // Name will be applied later for avoiding duplication.
if (userDimName != null && dataDimNameMap.get(userDimName) == null) {
// Only if `series.dimensions` is defined in option
// displayName, will be set, and dimension will be diplayed vertically in
// tooltip by default.
resultItem.name = resultItem.displayName = userDimName;
dataDimNameMap.set(userDimName, i);
}
dimDefItem.type != null && (resultItem.type = dimDefItem.type);
dimDefItem.displayName != null && (resultItem.displayName = dimDefItem.displayName);
}
var encodeDef = opt.encodeDef;
if (!encodeDef && opt.encodeDefaulter) {
encodeDef = opt.encodeDefaulter(source, dimCount);
}
encodeDef = createHashMap(encodeDef); // Set `coordDim` and `coordDimIndex` by `encodeDef` and normalize `encodeDef`.
encodeDef.each(function (dataDims, coordDim) {
dataDims = normalizeToArray(dataDims).slice(); // Note: It is allowed that `dataDims.length` is `0`, e.g., options is
// `{encode: {x: -1, y: 1}}`. Should not filter anything in
// this case.
if (dataDims.length === 1 && !isString(dataDims[0]) && dataDims[0] < 0) {
encodeDef.set(coordDim, false);
return;
}
var validDataDims = encodeDef.set(coordDim, []);
each(dataDims, function (resultDimIdx, idx) {
// The input resultDimIdx can be dim name or index.
isString(resultDimIdx) && (resultDimIdx = dataDimNameMap.get(resultDimIdx));
if (resultDimIdx != null && resultDimIdx < dimCount) {
validDataDims[idx] = resultDimIdx;
applyDim(result[resultDimIdx], coordDim, idx);
}
});
}); // Apply templetes and default order from `sysDims`.
var availDimIdx = 0;
each(sysDims, function (sysDimItem, sysDimIndex) {
var coordDim;
var sysDimItem;
var sysDimItemDimsDef;
var sysDimItemOtherDims;
if (isString(sysDimItem)) {
coordDim = sysDimItem;
sysDimItem = {};
} else {
coordDim = sysDimItem.name;
var ordinalMeta = sysDimItem.ordinalMeta;
sysDimItem.ordinalMeta = null;
sysDimItem = clone(sysDimItem);
sysDimItem.ordinalMeta = ordinalMeta; // `coordDimIndex` should not be set directly.
sysDimItemDimsDef = sysDimItem.dimsDef;
sysDimItemOtherDims = sysDimItem.otherDims;
sysDimItem.name = sysDimItem.coordDim = sysDimItem.coordDimIndex = sysDimItem.dimsDef = sysDimItem.otherDims = null;
}
var dataDims = encodeDef.get(coordDim); // negative resultDimIdx means no need to mapping.
if (dataDims === false) {
return;
}
var dataDims = normalizeToArray(dataDims); // dimensions provides default dim sequences.
if (!dataDims.length) {
for (var i = 0; i < (sysDimItemDimsDef && sysDimItemDimsDef.length || 1); i++) {
while (availDimIdx < result.length && result[availDimIdx].coordDim != null) {
availDimIdx++;
}
availDimIdx < result.length && dataDims.push(availDimIdx++);
}
} // Apply templates.
each(dataDims, function (resultDimIdx, coordDimIndex) {
var resultItem = result[resultDimIdx];
applyDim(defaults(resultItem, sysDimItem), coordDim, coordDimIndex);
if (resultItem.name == null && sysDimItemDimsDef) {
var sysDimItemDimsDefItem = sysDimItemDimsDef[coordDimIndex];
!isObject(sysDimItemDimsDefItem) && (sysDimItemDimsDefItem = {
name: sysDimItemDimsDefItem
});
resultItem.name = resultItem.displayName = sysDimItemDimsDefItem.name;
resultItem.defaultTooltip = sysDimItemDimsDefItem.defaultTooltip;
} // FIXME refactor, currently only used in case: {otherDims: {tooltip: false}}
sysDimItemOtherDims && defaults(resultItem.otherDims, sysDimItemOtherDims);
});
});
function applyDim(resultItem, coordDim, coordDimIndex) {
if (OTHER_DIMENSIONS.get(coordDim) != null) {
resultItem.otherDims[coordDim] = coordDimIndex;
} else {
resultItem.coordDim = coordDim;
resultItem.coordDimIndex = coordDimIndex;
coordDimNameMap.set(coordDim, true);
}
} // Make sure the first extra dim is 'value'.
var generateCoord = opt.generateCoord;
var generateCoordCount = opt.generateCoordCount;
var fromZero = generateCoordCount != null;
generateCoordCount = generateCoord ? generateCoordCount || 1 : 0;
var extra = generateCoord || 'value'; // Set dim `name` and other `coordDim` and other props.
for (var resultDimIdx = 0; resultDimIdx < dimCount; resultDimIdx++) {
var resultItem = result[resultDimIdx] = result[resultDimIdx] || new DataDimensionInfo();
var coordDim = resultItem.coordDim;
if (coordDim == null) {
resultItem.coordDim = genName(extra, coordDimNameMap, fromZero);
resultItem.coordDimIndex = 0;
if (!generateCoord || generateCoordCount <= 0) {
resultItem.isExtraCoord = true;
}
generateCoordCount--;
}
resultItem.name == null && (resultItem.name = genName(resultItem.coordDim, dataDimNameMap));
if (resultItem.type == null && (guessOrdinal(source, resultDimIdx, resultItem.name) === BE_ORDINAL.Must // Consider the case:
// {
// dataset: {source: [
// ['2001', 123],
// ['2002', 456],
// ...
// ['The others', 987],
// ]},
// series: {type: 'pie'}
// }
// The first colum should better be treated as a "ordinal" although it
// might not able to be detected as an "ordinal" by `guessOrdinal`.
|| resultItem.isExtraCoord && (resultItem.otherDims.itemName != null || resultItem.otherDims.seriesName != null))) {
resultItem.type = 'ordinal';
}
}
return result;
} // ??? TODO
// Originally detect dimCount by data[0]. Should we
// optimize it to only by sysDims and dimensions and encode.
// So only necessary dims will be initialized.
// But
// (1) custom series should be considered. where other dims
// may be visited.
// (2) sometimes user need to calcualte bubble size or use visualMap
// on other dimensions besides coordSys needed.
// So, dims that is not used by system, should be shared in storage?
function getDimCount(source, sysDims, dimsDef, optDimCount) {
// Note that the result dimCount should not small than columns count
// of data, otherwise `dataDimNameMap` checking will be incorrect.
var dimCount = Math.max(source.dimensionsDetectCount || 1, sysDims.length, dimsDef.length, optDimCount || 0);
each(sysDims, function (sysDimItem) {
var sysDimItemDimsDef = sysDimItem.dimsDef;
sysDimItemDimsDef && (dimCount = Math.max(dimCount, sysDimItemDimsDef.length));
});
return dimCount;
}
function genName(name, map, fromZero) {
if (fromZero || map.get(name) != null) {
var i = 0;
while (map.get(name + i) != null) {
i++;
}
name += i;
}
map.set(name, true);
return name;
}
var _default = completeDimensions;
module.exports = _default;