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逐步完成前后端服务器

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zack
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/*
* 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.
*/
/**
* AUTO-GENERATED FILE. DO NOT MODIFY.
*/
/*
* 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 { VISUAL_DIMENSIONS } from '../../util/types.js';
import SeriesDimensionDefine from '../SeriesDimensionDefine.js';
import { createHashMap, defaults, each, extend, isObject, isString } from 'zrender/lib/core/util.js';
import { createSourceFromSeriesDataOption, isSourceInstance } from '../Source.js';
import { CtorInt32Array } from '../DataStore.js';
import { normalizeToArray } from '../../util/model.js';
import { BE_ORDINAL, guessOrdinal } from './sourceHelper.js';
import { createDimNameMap, ensureSourceDimNameMap, SeriesDataSchema, shouldOmitUnusedDimensions } from './SeriesDataSchema.js';
/**
* For outside usage compat (like echarts-gl are using it).
*/
export function createDimensions(source, opt) {
return prepareSeriesDataSchema(source, opt).dimensions;
}
/**
* This method builds the relationship between:
* + "what the coord sys or series requires (see `coordDimensions`)",
* + "what the user defines (in `encode` and `dimensions`, see `opt.dimensionsDefine` and `opt.encodeDefine`)"
* + "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'.
*
* @return The results are always sorted by `storeDimIndex` asc.
*/
export default function prepareSeriesDataSchema(
// TODO: TYPE completeDimensions type
source, opt) {
if (!isSourceInstance(source)) {
source = createSourceFromSeriesDataOption(source);
}
opt = opt || {};
var sysDims = opt.coordDimensions || [];
var dimsDef = opt.dimensionsDefine || source.dimensionsDefine || [];
var coordDimNameMap = createHashMap();
var resultList = [];
var dimCount = getDimCount(source, sysDims, dimsDef, opt.dimensionsCount);
// Try to ignore unused dimensions if sharing a high dimension datastore
// 30 is an experience value.
var omitUnusedDimensions = opt.canOmitUnusedDimensions && shouldOmitUnusedDimensions(dimCount);
var isUsingSourceDimensionsDef = dimsDef === source.dimensionsDefine;
var dataDimNameMap = isUsingSourceDimensionsDef ? ensureSourceDimNameMap(source) : createDimNameMap(dimsDef);
var encodeDef = opt.encodeDefine;
if (!encodeDef && opt.encodeDefaulter) {
encodeDef = opt.encodeDefaulter(source, dimCount);
}
var encodeDefMap = createHashMap(encodeDef);
var indicesMap = new CtorInt32Array(dimCount);
for (var i = 0; i < indicesMap.length; i++) {
indicesMap[i] = -1;
}
function getResultItem(dimIdx) {
var idx = indicesMap[dimIdx];
if (idx < 0) {
var dimDefItemRaw = dimsDef[dimIdx];
var dimDefItem = isObject(dimDefItemRaw) ? dimDefItemRaw : {
name: dimDefItemRaw
};
var resultItem = new SeriesDimensionDefine();
var userDimName = dimDefItem.name;
if (userDimName != null && dataDimNameMap.get(userDimName) != null) {
// Only if `series.dimensions` is defined in option
// displayName, will be set, and dimension will be displayed vertically in
// tooltip by default.
resultItem.name = resultItem.displayName = userDimName;
}
dimDefItem.type != null && (resultItem.type = dimDefItem.type);
dimDefItem.displayName != null && (resultItem.displayName = dimDefItem.displayName);
var newIdx = resultList.length;
indicesMap[dimIdx] = newIdx;
resultItem.storeDimIndex = dimIdx;
resultList.push(resultItem);
return resultItem;
}
return resultList[idx];
}
if (!omitUnusedDimensions) {
for (var i = 0; i < dimCount; i++) {
getResultItem(i);
}
}
// Set `coordDim` and `coordDimIndex` by `encodeDefMap` and normalize `encodeDefMap`.
encodeDefMap.each(function (dataDimsRaw, coordDim) {
var dataDims = normalizeToArray(dataDimsRaw).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) {
encodeDefMap.set(coordDim, false);
return;
}
var validDataDims = encodeDefMap.set(coordDim, []);
each(dataDims, function (resultDimIdxOrName, idx) {
// The input resultDimIdx can be dim name or index.
var resultDimIdx = isString(resultDimIdxOrName) ? dataDimNameMap.get(resultDimIdxOrName) : resultDimIdxOrName;
if (resultDimIdx != null && resultDimIdx < dimCount) {
validDataDims[idx] = resultDimIdx;
applyDim(getResultItem(resultDimIdx), coordDim, idx);
}
});
});
// Apply templates and default order from `sysDims`.
var availDimIdx = 0;
each(sysDims, function (sysDimItemRaw) {
var coordDim;
var sysDimItemDimsDef;
var sysDimItemOtherDims;
var sysDimItem;
if (isString(sysDimItemRaw)) {
coordDim = sysDimItemRaw;
sysDimItem = {};
} else {
sysDimItem = sysDimItemRaw;
coordDim = sysDimItem.name;
var ordinalMeta = sysDimItem.ordinalMeta;
sysDimItem.ordinalMeta = null;
sysDimItem = extend({}, 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 = encodeDefMap.get(coordDim);
// negative resultDimIdx means no need to mapping.
if (dataDims === false) {
return;
}
dataDims = normalizeToArray(dataDims);
// dimensions provides default dim sequences.
if (!dataDims.length) {
for (var i = 0; i < (sysDimItemDimsDef && sysDimItemDimsDef.length || 1); i++) {
while (availDimIdx < dimCount && getResultItem(availDimIdx).coordDim != null) {
availDimIdx++;
}
availDimIdx < dimCount && dataDims.push(availDimIdx++);
}
}
// Apply templates.
each(dataDims, function (resultDimIdx, coordDimIndex) {
var resultItem = getResultItem(resultDimIdx);
// Coordinate system has a higher priority on dim type than source.
if (isUsingSourceDimensionsDef && sysDimItem.type != null) {
resultItem.type = sysDimItem.type;
}
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 (VISUAL_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';
function ifNoNameFillWithCoordName(resultItem) {
if (resultItem.name == null) {
// Duplication will be removed in the next step.
resultItem.name = resultItem.coordDim;
}
}
// Set dim `name` and other `coordDim` and other props.
if (!omitUnusedDimensions) {
for (var resultDimIdx = 0; resultDimIdx < dimCount; resultDimIdx++) {
var resultItem = getResultItem(resultDimIdx);
var coordDim = resultItem.coordDim;
if (coordDim == null) {
// TODO no need to generate coordDim for isExtraCoord?
resultItem.coordDim = genCoordDimName(extra, coordDimNameMap, fromZero);
resultItem.coordDimIndex = 0;
// Series specified generateCoord is using out.
if (!generateCoord || generateCoordCount <= 0) {
resultItem.isExtraCoord = true;
}
generateCoordCount--;
}
ifNoNameFillWithCoordName(resultItem);
if (resultItem.type == null && (guessOrdinal(source, resultDimIdx) === BE_ORDINAL.Must
// Consider the case:
// {
// dataset: {source: [
// ['2001', 123],
// ['2002', 456],
// ...
// ['The others', 987],
// ]},
// series: {type: 'pie'}
// }
// The first column should better be treated as a "ordinal" although it
// might not be detected as an "ordinal" by `guessOrdinal`.
|| resultItem.isExtraCoord && (resultItem.otherDims.itemName != null || resultItem.otherDims.seriesName != null))) {
resultItem.type = 'ordinal';
}
}
} else {
each(resultList, function (resultItem) {
// PENDING: guessOrdinal or let user specify type: 'ordinal' manually?
ifNoNameFillWithCoordName(resultItem);
});
// Sort dimensions: there are some rule that use the last dim as label,
// and for some latter travel process easier.
resultList.sort(function (item0, item1) {
return item0.storeDimIndex - item1.storeDimIndex;
});
}
removeDuplication(resultList);
return new SeriesDataSchema({
source: source,
dimensions: resultList,
fullDimensionCount: dimCount,
dimensionOmitted: omitUnusedDimensions
});
}
function removeDuplication(result) {
var duplicationMap = createHashMap();
for (var i = 0; i < result.length; i++) {
var dim = result[i];
var dimOriginalName = dim.name;
var count = duplicationMap.get(dimOriginalName) || 0;
if (count > 0) {
// Starts from 0.
dim.name = dimOriginalName + (count - 1);
}
count++;
duplicationMap.set(dimOriginalName, count);
}
}
// ??? 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 calculate bubble size or use visualMap
// on other dimensions besides coordSys needed.
// So, dims that is not used by system, should be shared in data store?
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.dimensionsDetectedCount || 1, sysDims.length, dimsDef.length, optDimCount || 0);
each(sysDims, function (sysDimItem) {
var sysDimItemDimsDef;
if (isObject(sysDimItem) && (sysDimItemDimsDef = sysDimItem.dimsDef)) {
dimCount = Math.max(dimCount, sysDimItemDimsDef.length);
}
});
return dimCount;
}
function genCoordDimName(name, map, fromZero) {
if (fromZero || map.hasKey(name)) {
var i = 0;
while (map.hasKey(name + i)) {
i++;
}
name += i;
}
map.set(name, true);
return name;
}