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pivot-data-set.ts
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pivot-data-set.ts
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import { BaseDataSet } from 'src/data-set';
import { DataPathParams, DataType, PivotMeta } from 'src/data-set/interface';
import { DerivedValue, Meta, S2DataConfig } from 'src/common/interface';
import { i18n } from 'src/common/i18n';
import { EXTRA_FIELD, VALUE_FIELD } from 'src/common/constant';
import _ from 'lodash';
import { DEBUG_TRANSFORM_DATA, DebuggerUtil } from 'src/common/debug';
import { Node } from '@/facet/layout/node';
export class PivotDataSet extends BaseDataSet {
// row dimension values pivot structure
public rowPivotMeta: PivotMeta;
// col dimension value pivot structure
public colPivotMeta: PivotMeta;
// sorted dimension values
protected sortedDimensionValues: Map<string, Set<string>>;
// un-sorted dimension values
protected unSortedDimensionValues: Map<string, Set<string>>;
// each path items max index
protected pathIndexMax = [];
/**
* When data related config changed, we need
* 1、re-process config
* 2、re-transform origin data
* 3、sort and other things
* @param dataCfg
*/
public setDataCfg(dataCfg: S2DataConfig) {
super.setDataCfg(dataCfg);
this.unSortedDimensionValues = new Map();
this.sortedDimensionValues = new Map();
this.indexesData = [];
this.rowPivotMeta = new Map();
this.colPivotMeta = new Map();
DebuggerUtil.getInstance().debugCallback(DEBUG_TRANSFORM_DATA, () => {
const { rows, columns } = this.fields;
this.transformIndexesData(rows, columns, this.originData);
});
this.handleDimensionValuesSort();
}
/**
* Provide a way to append some drill-down data in indexesData
* @param extraRowField
* @param drillDownData
* @param rowNode
*/
public transformDrillDownData(
extraRowField: string,
drillDownData: DataType[],
rowNode: Node,
) {
const { columns } = this.fields;
const rows = Node.getFieldPath(rowNode);
const store = this.spreadsheet.store;
// 1、通过values在data中注入额外的维度信息
const values = this.fields.values;
for (const drillDownDatum of drillDownData) {
for (const value of values) {
_.merge(drillDownDatum, {
[EXTRA_FIELD]: value,
[VALUE_FIELD]: drillDownDatum[value],
});
}
}
// 2、转换数据
const drillDownDataPaths = this.transformIndexesData(
[...rows, extraRowField],
columns,
drillDownData,
);
// 3、record data paths by nodeId
const rowNodeId = rowNode.id;
const idPathMap = store.get('drillDownIdPathMap') ?? new Map();
if (idPathMap.has(rowNodeId)) {
// the current node has a drill-down field, clean it and add new one
idPathMap
.get(rowNodeId)
.map((path) => _.set(this.indexesData, path, undefined));
}
// set new drill-down data path
idPathMap.set(rowNodeId, drillDownDataPaths);
store.set('drillDownIdPathMap', idPathMap);
}
/**
* Clear drill down data by rowNodeId
* rowNodeId is undefined => clear all
* @param rowNodeId
*/
public clearDrillDownData(rowNodeId?: string) {
const store = this.spreadsheet.store;
const idPathMap = store.get('drillDownIdPathMap');
if (rowNodeId) {
idPathMap
.get(rowNodeId)
.map((path) => _.set(this.indexesData, path, undefined));
idPathMap.delete(rowNodeId);
} else {
_.flatten(Array.from(idPathMap.values()))?.map((path) =>
_.set(this.indexesData, path, undefined),
);
idPathMap.clear();
}
store.set('drillDownIdPathMap', idPathMap);
}
/**
* Transform origin data to indexed data
*/
transformIndexesData = (
rows: string[],
columns: string[],
originData: DataType[],
): number[][] => {
const paths = [];
for (const data of originData) {
const rowDimensionValues = this.transformDimensionsValues(data, rows);
const colDimensionValues = this.transformDimensionsValues(data, columns);
// this.transformDimensionsValues(data, values);
const path = this.getDataPath({
rowDimensionValues,
colDimensionValues,
isFirstCreate: true,
rowFields: rows,
});
paths.push(path);
// console.log('path:', path, data);
_.set(this.indexesData, path, data);
}
return paths;
};
/**
* Transform a origin single data to dimension values
* {
* price: 16,
* province: '辽宁省',
* city: '芜湖市',
* category: '家具',
* subCategory: '椅子',
* }
* => dimensions [province, city]
* return [辽宁省, 芜湖市]
*
* @param record
* @param dimensions
*/
transformDimensionsValues = (
record: DataType,
dimensions: string[],
): string[] => {
return _.map(dimensions, (dimension) => {
const dimensionValue = record[dimension];
if (!this.unSortedDimensionValues.has(dimension)) {
this.unSortedDimensionValues.set(dimension, new Set());
}
const values = this.unSortedDimensionValues.get(dimension);
values.add(this.getSortIndex(dimension, record));
return dimensionValue;
});
};
// TODO remove this when sortParams be constructed
getSortIndex = (key: string, record: DataType): string => {
const sortParam = _.find(this.sortParams, ['sortFieldId', key]);
if (sortParam) {
if (!_.isEmpty(sortParam.sortBy)) {
// return indexOf(sortParam.sortBy, record[key]);
return record[key];
}
if (sortParam.sortByField) {
// 数值也转为文本,便于后续统一排序
return `${record[sortParam.sortByField]}`;
}
}
return record[key];
};
handleDimensionValuesSort = () => {
const { rows, columns } = this.fields;
const dimensions = rows.concat(columns);
_.each(dimensions, (dimension) => {
const sortParam = _.find(this.sortParams, ['sortFieldId', dimension]);
const sortMap = this.unSortedDimensionValues.get(dimension);
// 无数据时,只有维度配置,但没有具体维值,需要容错
if (sortParam && sortMap) {
const sortAction = (arr: string[], defaultMultiple = 1) => {
arr?.sort((a: string, b: string) => {
if (_.isNumber(a[1]) && _.isNumber(b[1])) {
// 数值比较,解决 '2' > '11' 场景
return (a[1] - b[1]) * defaultMultiple;
}
if (a[1] && b[1]) {
// 数据健全兼容,用户数据不全时,能够展示.
return (
a[1].toString().localeCompare(b[1].toString(), 'zh') *
defaultMultiple
);
}
return defaultMultiple;
});
};
const sorted = Array.from(sortMap.keys());
if (sortParam.sortBy && sortParam?.sortFieldId === EXTRA_FIELD) {
sortAction(sorted);
} else if (sortParam.sortMethod) {
const multiple = sortParam.sortMethod === 'ASC' ? 1 : -1;
sortAction(sorted, multiple);
}
this.sortedDimensionValues.set(dimension, new Set(sorted));
} else if (sortMap) {
this.sortedDimensionValues.set(dimension, sortMap);
}
});
this.unSortedDimensionValues.clear();
};
/**
* Transform a single data to path
* {
* $$VALUE$$: 15
* $$EXTRA$$: 'price'
* "price": 15,
* "province": "辽宁省",
* "city": "达州市",
* "category": "家具",
* "subCategory": "椅子"
* }
* rows: [province, city]
* columns: [category, subCategory, $$EXTRA$$]
*
* =>
* rowDimensionValues = [辽宁省, 达州市]
* colDimensionValues = [家具, 椅子, price]
*
* @param params
*/
getDataPath = (params: DataPathParams): number[] => {
const {
rowDimensionValues,
colDimensionValues,
careUndefined,
isFirstCreate,
rowFields,
} = params;
const getPath = (dimensionValues: string[], isRow = true): number[] => {
let currentMeta = isRow ? this.rowPivotMeta : this.colPivotMeta;
const fields = isRow ? rowFields : [];
const path = [];
for (let i = 0; i < dimensionValues.length; i++) {
const value = dimensionValues[i];
if (!currentMeta.has(value)) {
if (isFirstCreate) {
currentMeta.set(value, {
level: currentMeta.size,
children: new Map(),
});
} else {
// the most case happened in total cell
const meta = currentMeta.get(value);
if (meta) {
path.push(meta.level);
}
break;
}
}
const meta = currentMeta.get(value);
if (isFirstCreate) {
// mark the child field
meta.childField = fields?.[i + 1];
}
if (_.isUndefined(value) && careUndefined) {
path.push(value);
} else {
path.push(meta.level);
}
currentMeta = meta.children;
}
return path;
};
const rowPath = getPath(rowDimensionValues);
const colPath = getPath(colDimensionValues, false);
const result = rowPath.concat(...colPath);
return result;
};
/**
* Trans
* @param values
* @param derivedValues
*/
getValues = (values: string[], derivedValues: DerivedValue[]) => {
const tempValue = [];
_.each(values, (v) => {
const findOne = _.find(derivedValues, (dv) => dv.valueField === v);
tempValue.push(v);
if (findOne) {
// derived value exist
const dvs = findOne.derivedValueField;
tempValue.push(...dvs);
}
});
return tempValue;
};
public processDataCfg(dataCfg: S2DataConfig): S2DataConfig {
const { data, meta = [], fields, sortParams = [] } = dataCfg;
const { columns, rows, values, derivedValues, valueInCols } = fields;
let newColumns = columns;
let newRows = rows;
let newSortParams: S2DataConfig['sortParams'] = sortParams;
let newValues = values;
if (valueInCols) {
// value in cols
newColumns = _.uniq([...columns, EXTRA_FIELD]);
newValues = this.getValues(values, derivedValues);
} else {
// value in rows
newRows = [...rows, EXTRA_FIELD];
}
// 新增的字段按照值域字段顺序排序
newSortParams = sortParams.concat({
sortFieldId: EXTRA_FIELD,
sortBy: newValues,
});
// meta 中添加新的字段信息(度量别名设置)
const enumAlias = new Map<string, string>();
_.each(newValues, (value: string) => {
const m = _.find(meta, (mt: Meta) => mt.field === value);
enumAlias.set(value, _.get(m, 'name', value));
});
const newMeta = [
...meta,
// 虚拟列字段,为文本分类字段
{
field: EXTRA_FIELD,
name: i18n('数值'),
formatter: (v) => enumAlias.get(v), // 格式化
} as Meta,
];
// transform values to EXTRA_FIELD key
const newData = [];
for (const datum of data) {
if (!_.isEmpty(newValues)) {
_.each(newValues, (value: string) => {
newData.push({
...datum,
[EXTRA_FIELD]: value, // getFieldName(row, meta), // 替换为字段名称
[VALUE_FIELD]: datum[value],
});
});
} else {
newData.push({
...datum,
});
}
}
// 返回新的结构
return {
data: newData,
meta: newMeta,
fields: {
...fields,
rows: newRows,
columns: newColumns,
values: newValues,
},
sortParams: newSortParams,
};
}
public getDimensionValues(field: string, query?: DataType): string[] {
const { rows, columns } = this.fields;
const filterUndefined = (values: string[]) => {
return _.filter(values, (t) => !_.isUndefined(t));
};
let meta: PivotMeta;
let dimensions: string[];
if (_.includes(rows, field)) {
meta = this.rowPivotMeta;
dimensions = rows;
} else {
meta = this.colPivotMeta;
dimensions = columns;
}
if (!_.isEmpty(query)) {
for (const dimension of dimensions) {
const value = _.get(query, dimension);
if (meta.has(value) && !_.isUndefined(value)) {
meta = meta.get(value).children;
}
}
// TODO sort dimension values
return filterUndefined(Array.from(meta.keys()));
}
return filterUndefined(Array.from(this.sortedDimensionValues.get(field)));
}
getQueryDimValues = (dimensions: string[], query: DataType): string[] => {
return _.reduce(
dimensions,
(res: string[], dimension: string) => {
// push undefined when not exist
res.push(query[dimension]);
return res;
},
[],
);
};
public getCellData(query: DataType, rowNode?: Node): DataType {
const { columns, rows: originRows } = this.fields;
const rows = Node.getFieldPath(rowNode) ?? originRows;
const rowDimensionValues = this.getQueryDimValues(rows, query);
const colDimensionValues = this.getQueryDimValues(columns, query);
const path = this.getDataPath({ rowDimensionValues, colDimensionValues });
const data = _.get(this.indexesData, path);
// DebuggerUtil.getInstance().logger('get cell data:', path, data);
return data;
}
public getMultiData(query: DataType, isTotals?: boolean): DataType[] {
if (_.isEmpty(query)) {
return _.compact(_.flattenDeep(this.indexesData));
}
// TODO adapt drill down scene
const { rows, columns, valueInCols } = this.fields;
const rowDimensionValues = this.getQueryDimValues(rows, query);
const colDimensionValues = this.getQueryDimValues(columns, query);
const path = this.getDataPath({
rowDimensionValues,
colDimensionValues,
careUndefined: true,
});
let hadUndefined = false;
let currentData = this.indexesData;
for (let i = 0; i < path.length; i++) {
const current = path[i];
if (hadUndefined) {
if (_.isUndefined(current)) {
currentData = _.flatten(currentData) as [];
} else {
currentData = currentData
.map((d) => d[current])
.filter((d) => !_.isUndefined(d)) as [];
}
} else if (_.isUndefined(current)) {
hadUndefined = true;
} else {
currentData = currentData?.[current];
}
}
let result = _.compact(_.flattenDeep(currentData));
if (isTotals) {
// need filter extra data
if (valueInCols) {
// grand total => {$$extra$$: 'price'}
// sub total => {$$extra$$: 'price', category: 'xxxx'}
// [undefined, undefined, "price"] => [category]
const firstColFieldIndex = colDimensionValues.indexOf(undefined);
let columnField;
if (firstColFieldIndex !== -1) {
columnField = columns[firstColFieldIndex];
result = result.filter((r) => !_.has(r, columnField));
}
}
}
return result;
}
}