/** * This exporter class creates an XLSX file that has 2 sheets: * * - one sheet that has the pivot table * - one sheet that has the raw data * * To be able to correctly export the pivot table definition to Excel you need to ensure that: * * - only the following aggregator functions are used: min, max, avg, count, variance, varianceP, stdDev and stdDevP * - the pivot matrix provided should be {@link Ext.pivot.matrix.Local} * * This exporter can be used together with the {@link Ext.pivot.plugin.Exporter}. */Ext.define('Ext.exporter.excel.PivotXlsx', { extend: 'Ext.exporter.Base', alias: [ 'exporter.pivotxlsx' ], requires: [ 'Ext.exporter.file.ooxml.Excel' ], config: { /** * @cfg {Ext.exporter.file.excel.Style} titleStyle * * Default style applied to the title */ titleStyle: { alignment: { horizontal: 'Center', vertical: 'Center' }, font: { fontName: 'Arial', family: 'Swiss', size: 18, color: '#1F497D' } }, /** * @cfg {Ext.pivot.matrix.Local} matrix * * Reference to the pivot matrix that needs to be exported */ matrix: null, /** * @cfg {Ext.exporter.file.ooxml.excel.PivotTableStyleInfo} pivotTableStyle * * Represent information on style applied to the PivotTable. * * The following style names are predefined: * - `PivotStyleLight1` -> `PivotStyleLight28` * - `PivotStyleMedium1` -> `PivotStyleMedium28` * - `PivotStyleDark1` -> `PivotStyleDark28` * */ pivotTableStyle: { name: 'PivotStyleMedium7' } /** * @cfg data * @hide */ }, fileName: 'export.xlsx', charset: 'ascii', mimeType: 'application/zip', binary: true, aggregateMap: { avg: 'average', sum: 'sum', count: 'count', min: 'min', max: 'max', variance: 'var', varianceP: 'varp', stdDev: 'stdDev', stdDevP: 'stdDevp' }, titleRowHeight: 22.5, columnLabelsText: 'Column Labels', rowLabelsText: 'Row Labels', valuesText: 'Values', totalText: 'Total', grandTotalText: 'Grand total', getContent: function(){ var me = this, matrix = me.getMatrix(), excel, ws1, ws2, store, result; // if no matrix is available then the Excel file has no data in it excel = new Ext.exporter.file.ooxml.Excel({ properties: { title: me.getTitle(), author: me.getAuthor() } }); store = matrix && matrix.store; if(!matrix || !store || !store.isStore || store.isDestroyed){ //<debug> Ext.raise('No pivot matrix provided to the exporter or there is no store defined on the matrix'); //</debug> excel.addWorksheet({ rows: [{ cells: 'Unable to export the pivot table since no raw data is available' }] }); return excel.render(); } ws1 = excel.addWorksheet(); ws2 = excel.addWorksheet(); result = me.generateDataSheet({ store: store, worksheet: ws2 }); me.generatePivotSheet({ worksheet: ws1, data: result }); result = excel.render(); excel.destroy(); return result; }, /** * Generates the Excel sheet that contains the data that will be aggregated by the pivot table * * @param params * @return {Object} * @private */ generateDataSheet: function(params){ var store = params.store, ws = params.worksheet, result; result = this.buildStoreRows(store); result.worksheet = ws; // let's use cached rendering for performance reasons ws.beginRowRendering(); ws.renderRows([result.fields]); ws.renderRows(result.rows); ws.endRowRendering(); return result; }, /** * Generates the Excel sheet that contains the pivot table * * @param params * @private */ generatePivotSheet: function(params){ var me = this, matrix = me._matrix, ws = params.worksheet, data = params.data; // let's use cached rendering for performance reasons ws.beginRowRendering(); me.generatePivotSheetTitle(ws); // in Excel the aggregate names should be unique so we need to generate Excel friendly names me.setupUniqueAggregateNames(data.fields); // let's extract the unique values for used dimensions me.setupUniqueValues(matrix.aggregate, data.uniqueValues); me.setupUniqueValues(matrix.leftAxis.dimensions, data.uniqueValues); me.setupUniqueValues(matrix.topAxis.dimensions, data.uniqueValues); me.generatePivotSheetData(params); ws.endRowRendering(); }, /** * Generates the title of the pivot table sheet * * @param ws * @private */ generatePivotSheetTitle: function(ws){ ws.renderRow({ height: this.titleRowHeight, cells: [{ mergeAcross: 5, value: this.getTitle(), styleId: ws.getWorkbook().addCellStyle(this.getTitleStyle()) }] }); }, /** * Generates the pivot table definition xml * * @param params * @private */ generatePivotSheetData: function(params){ var me = this, ws = params.worksheet; me.generatePivotConfig(params); me.generatePivotLocation(params); me.generatePivotDataFields(params); me.generatePivotFields(params); me.generatePivotRowFields(params); me.generatePivotColumnFields(params); ws.addPivotTable(params.pivotConfig); }, /** * Generates a new pivot table definition object and fills in some configs * * @param params * @private */ generatePivotConfig: function (params) { var matrix = this._matrix, data = params.data, dataWs = data.worksheet, countLeft = matrix.leftAxis.dimensions.items.length, pivotConfig; pivotConfig = params.pivotConfig = { // rowGrandTotals: matrix.rowGrandTotalsPosition !== 'none', // colGrandTotals: matrix.colGrandTotalsPosition !== 'none', grandTotalCaption: matrix.textGrandTotalTpl, location: { ref: '', firstHeaderRow: 1, firstDataRow: 1, firstDataCol: 1 }, cacheDefinition: { cacheSource: { worksheetSource: { ref: dataWs.getTopLeftRef() + ':' + dataWs.getBottomRightRef(), sheet: dataWs.getName() } }, cacheFields: [], cacheRecords: { items: data.cache } }, pivotTableStyleInfo: this.getPivotTableStyle(), pivotFields: [], rowFields: [], colFields: [], dataFields: [], rowItems: [], colItems: [] }; pivotConfig.rowHeaderCaption = this.rowLabelsText; pivotConfig.colHeaderCaption = this.columnLabelsText; pivotConfig.viewLayoutType = matrix.viewLayoutType; }, /** * Generates the location of the pivot table on the excel sheet * * @param params * @private */ generatePivotLocation: function(params) { var me = this, matrix = me._matrix, ws = params.worksheet, location = params.pivotConfig.location, uniqueValues = params.data.uniqueValues, countAgg = matrix.aggregate.items.length, countLeft = matrix.leftAxis.dimensions.items.length, countTop = matrix.topAxis.dimensions.items.length, result, i, j, len, length, row, item, ref; params.header = []; params.body = []; params.totals = []; params.dataIndexes = []; params.columns = []; if(countLeft === 0 && countTop === 0) { if(countAgg === 0){ me.generatePivotDataEmpty(params); }else{ me.generatePivotDataAgg(params); } }else{ location.firstDataRow += countTop + (countAgg > 1 ? 1 : 0); location.firstDataCol = 1; location.firstHeaderRow = 1; // let's build the Excel pivot table cache data me.generatePivotHeader(params); if(countAgg === 0){ if(countTop && countLeft){ me.generatePivotDataLeftTopAgg(params); }else if(countLeft){ me.generatePivotDataLeft(params); }else{ me.generatePivotDataTop(params); } }else{ if(countTop && countLeft){ me.generatePivotDataLeftTopAgg(params); }else if(countLeft){ me.generatePivotDataLeftAgg(params); }else{ me.generatePivotDataTopAgg(params); } } me.generatePivotBody(params); me.generatePivotRowTotals(params); } me.generatePivotData(params); }, /** * If no dimensions are defined for left/top/aggregate then the pivot table needs * to have some empty cells defined on that excel sheet. This function does that. * * @param params * @private */ generatePivotDataEmpty: function(params) { var i; // add 18 empty rows just to mark the pivot table as Excel does params.header.push({ cells: [null, null, null] }); for(i = 0; i < 17; i++) { params.header.push({ cells: [null, null, null] }); } }, /** * If there are no dimensions on left/top axis then the pivot table needs to have a special layout on * the excel sheet. This function does that. * * @param params * @private */ generatePivotDataAgg: function(params) { var matrix = this._matrix, location = params.pivotConfig.location, countAgg = matrix.aggregate.items.length, ref1, ref2, i, row, row2, record, item; row = { cells: [{ value: null }] }; row2 = { cells: [{ value: this.totalText }] }; params.header.push(row, row2); for(i = 0; i < countAgg; i++){ item = matrix.aggregate.items[i]; row.cells.push({ value: item.excelName }); record = matrix.results.items.map[matrix.grandTotalKey + '/' + matrix.grandTotalKey]; row2.cells.push({ value: record ? record.values[item.id] : null }); } if(countAgg > 1) { location.firstHeaderRow = 0; } }, generatePivotDataLeftTopAgg: function(params) { var matrix = this._matrix, pivotConfig = params.pivotConfig, location = pivotConfig.location, layout = pivotConfig.viewLayoutType, countAgg = matrix.aggregate.items.length, countLeft = matrix.leftAxis.dimensions.items.length, countTop = matrix.topAxis.dimensions.items.length, dataIndexes = params.dataIndexes, rows = params.header, row = rows[0], len = rows.length, i, j, item; for(i = 0; i < len; i++){ if(layout === 'compact'){ Ext.Array.insert(rows[i].cells, 0, [{ value: i === len - 1 ? this.rowLabelsText : (i === 0 && countAgg === 1 ? matrix.aggregate.items[0].excelName : null) }]); }else{ for(j = 0; j < countLeft; j++){ if(i === 0 && j === 0 && countAgg === 1){ item = { value: matrix.aggregate.items[0].excelName }; }else{ item = { value: i === len - 1 ? matrix.leftAxis.dimensions.items[j].dataIndex : null }; } Ext.Array.insert(rows[i].cells, j, [item]); } } } if(layout === 'compact'){ row.cells.push({ value: this.columnLabelsText }); Ext.Array.insert(dataIndexes, 0, [{ aggregate: false, dataIndex: matrix.compactViewKey }]); }else{ for(i = 0; i < countLeft; i++){ Ext.Array.insert(dataIndexes, i, [{ aggregate: false, dataIndex: matrix.leftAxis.dimensions.items[i].id }]); } for(i = 0; i < countTop; i++) { row.cells.push({ value: matrix.topAxis.dimensions.items[i].dataIndex }); } if(countAgg > 1){ row.cells.push({ value: this.valuesText }); } } this.generatePivotColTotals(params, rows[1]); location.firstDataCol = (layout === 'compact' ? 1 : countLeft); }, generatePivotDataLeftTop: function(params) { var matrix = this._matrix, pivotConfig = params.pivotConfig, location = pivotConfig.location, layout = pivotConfig.viewLayoutType, countLeft = matrix.leftAxis.dimensions.items.length, countTop = matrix.topAxis.dimensions.items.length, dataIndexes = params.dataIndexes, rows = params.header, row = rows[0], len = rows.length, i, j; for(i = 0; i < len; i++){ if(layout === 'compact'){ Ext.Array.insert(rows[i].cells, 0, [{ value: i === len - 1 ? this.rowLabelsText : null }]); }else{ for(j = 0; j < countLeft; j++){ Ext.Array.insert(rows[i].cells, j, [{ value: i === len - 1 ? matrix.leftAxis.dimensions.items[j].dataIndex : null }]); } } } if(layout === 'compact') { row.cells.push({ value: this.columnLabelsText }); Ext.Array.insert(dataIndexes, 0, [{ aggregate: false, dataIndex: matrix.compactViewKey }]); }else{ for(i = 0; i < countLeft; i++){ Ext.Array.insert(dataIndexes, i, [{ aggregate: false, dataIndex: matrix.leftAxis.dimensions.items[i].id }]); } for(i = 0; i < countTop; i++) { row.cells.push({ value: matrix.topAxis.dimensions.items[i].dataIndex }); } } this.generatePivotColTotals(params, rows[1]); location.firstDataCol = (layout === 'compact' ? 1 : countLeft); }, generatePivotDataLeftAgg: function(params) { var matrix = this._matrix, pivotConfig = params.pivotConfig, location = pivotConfig.location, layout = pivotConfig.viewLayoutType, countAgg = matrix.aggregate.items.length, countLeft = matrix.leftAxis.dimensions.items.length, dataIndexes = params.dataIndexes, row = params.header[0], i, item; if(layout === 'compact'){ row.cells.push({ value: this.rowLabelsText }); dataIndexes.push({ aggregate: false, dataIndex: matrix.compactViewKey }); }else{ for (i = 0; i < countLeft; i++) { item = matrix.leftAxis.dimensions.items[i]; row.cells.push({ value: item.dataIndex }); dataIndexes.push({ aggregate: false, dataIndex: item.id }); } } this.generatePivotColTotals(params, row); location.firstHeaderRow = countAgg > 1 ? 0 : 1; location.firstDataRow = 1; location.firstDataCol = (layout === 'compact' ? 1 : countLeft); }, generatePivotDataLeft: function(params) { var matrix = this._matrix, pivotConfig = params.pivotConfig, location = pivotConfig.location, layout = pivotConfig.viewLayoutType, countLeft = matrix.leftAxis.dimensions.items.length, row = params.header[0], dataIndexes = params.dataIndexes, i, item; if(layout === 'compact') { row.cells.push({ value: this.rowLabelsText }); dataIndexes.push({ aggregate: false, dataIndex: matrix.compactViewKey }); }else{ for (i = 0; i < countLeft; i++) { item = matrix.leftAxis.dimensions.items[i]; row.cells.push({ value: item.dataIndex }); dataIndexes.push({ aggregate: false, dataIndex: item.id }); } } dataIndexes.push({ aggregate: false }); location.firstDataCol = (layout === 'compact' ? 1 : countLeft); }, generatePivotDataTopAgg: function(params) { var matrix = this._matrix, pivotConfig = params.pivotConfig, layout = pivotConfig.viewLayoutType, countAgg = matrix.aggregate.items.length, countTop = matrix.topAxis.dimensions.items.length, dataIndexes = params.dataIndexes, rows = params.header, row = rows[0], len = rows.length, i; for(i = 0; i < len; i++){ Ext.Array.insert(rows[i].cells, 0, [{ value: countAgg === 1 && i === 0 ? matrix.aggregate.items[0].excelName : null }]); } Ext.Array.insert(dataIndexes, 0, [{ aggregate: false, dataIndex: layout === 'compact' ? matrix.compactViewKey : '' }]); if(layout === 'compact'){ row.cells.push({ value: this.columnLabelsText }); }else{ for(i = 0; i < countTop; i++) { row.cells.push({ value: matrix.topAxis.dimensions.items[i].dataIndex }); } if(countAgg > 1){ row.cells.push({ value: this.valuesText }); } } this.generatePivotColTotals(params, rows[1]); }, generatePivotDataTop: function(params) { var matrix = this._matrix, pivotConfig = params.pivotConfig, location = pivotConfig.location, layout = pivotConfig.viewLayoutType, countTop = matrix.topAxis.dimensions.items.length, dataIndexes = params.dataIndexes, rows = params.header, row = rows[0], len = rows.length, i; Ext.Array.insert(dataIndexes, 0, [{ aggregate: false, dataIndex: layout === 'compact' ? matrix.compactViewKey : '' }]); for(i = 0; i < len; i++){ Ext.Array.insert(rows[i].cells, 0, [{ value: null }]); } if(layout === 'compact') { row.cells.push({ value: this.columnLabelsText }); }else{ for(i = 0; i < countTop; i++) { row.cells.push({ value: matrix.topAxis.dimensions.items[i].dataIndex }); } } this.generatePivotColTotals(params, rows[1]); // If countTop then we have a 2nd row with all group names listed + Grand Total location.firstDataCol = 1; location.firstDataRow = countTop + 1; }, generatePivotHeader: function(params) { var me = this, columns = params.columns, rows, i, j, len, length, item, row; me.generateTopAxisColumns(params, -1); rows = params.header; // the pivot table header has at least one row rows.push({ cells: [] }); len = columns.length; for(i = 0; i < len; i++){ row = { cells: [] }; item = columns[i]; length = item.length; for (j = 0; j < length; j++) { row.cells.push({ value: item[j].value }); } rows.push(row); } if(len){ params.pivotConfig.colItems = Ext.Array.pluck(columns[len - 1], 'colItem'); params.dataIndexes = columns[len - 1]; } }, generatePivotBody: function(params, items) { var matrix = this._matrix, i, len; if(!items){ items = matrix.leftAxis.getTree(); } len = items.length; for(i = 0; i < len; i++) { this.generatePivotBodyItem(params, items[i]); } }, generatePivotBodyItem: function(params, item) { var matrix = this._matrix, ws = params.worksheet, uniqueValues = params.data.uniqueValues, columns = params.dataIndexes, length = columns.length, layout = params.pivotConfig.viewLayoutType, rows = params.body, rowItems = params.pivotConfig.rowItems, i, col, cell, result, rowItem, row, level; rowItem = { r: item.level, x: [Ext.Array.indexOf(uniqueValues[item.dimension.dataIndex], item.value)] }; row = { cells: [] }; for(i = 0; i < length; i++){ col = columns[i]; cell = { value: null }; if(col.aggregate){ result = matrix.results.items.map[item.key + '/' + col.key]; cell.value = result ? result.values[col.dataIndex] : null; }else if(col.dataIndex === item.dimensionId){ cell.value = item.value; }else if(layout === 'compact' && col.dataIndex === matrix.compactViewKey){ params.styles = params.styles || {}; level = 'level' + item.level; params.styles[level] = params.styles[level] || ws.getWorkbook().addCellStyle({ alignment: { horizontal: 'left', indent: item.level * 2 } }); cell.styleId = params.styles[level]; cell.value = item.value; } row.cells.push(cell); } rowItems.push(rowItem); rows.push(row); if(item.children){ if(layout === 'tabular') { this.generatePivotBodyTabularItem(params, item, item); }else { this.generatePivotBody(params, item.children); } } }, generatePivotBodyTabularItem: function(params, item) { var matrix = this._matrix, uniqueValues = params.data.uniqueValues, items = item.children, len = items.length, columns = params.dataIndexes, length = columns.length, rows = params.body, cells = rows[rows.length - 1].cells, rowItems = params.pivotConfig.rowItems, rowItem = rowItems[rowItems.length - 1], i, j, col, cell, result, group; for(i = 0; i < len; i++){ group = items[i]; if(i === 0){ rowItem.x.push(Ext.Array.indexOf(uniqueValues[group.dimension.dataIndex], group.value)); for(j = 0; j < length; j++){ col = columns[j]; cell = cells[j]; if(col.aggregate){ result = matrix.results.items.map[group.key + '/' + col.key]; cell.value = result ? result.values[col.dataIndex] : null; }else if(col.dataIndex === group.dimensionId){ cell.value = group.value; } } if(group.children){ this.generatePivotBodyTabularItem(params, group); } }else{ this.generatePivotBodyItem(params, group); } } // add group total rowItems.push({ r: item.level, t: 'default', x: [Ext.Array.indexOf(uniqueValues[item.dimension.dataIndex], item.value)] }); cells = []; for(j = 0; j < length; j++){ col = columns[j]; cell = { value: null }; if(col.aggregate){ result = matrix.results.items.map[item.key + '/' + col.key]; cell.value = result ? result.values[col.dataIndex] : null; }else if(col.dataIndex === item.dimensionId){ cell.value = item.data[col.dataIndex] + ' ' + this.totalText; } cells.push(cell); } rows.push({ cells: cells }); }, generatePivotRowTotals: function(params) { var matrix = this._matrix, countAgg = matrix.aggregate.items.length, countLeft = matrix.leftAxis.dimensions.items.length, columns = params.dataIndexes, length = columns.length, rows = params.totals, cells = [], rowItems = params.pivotConfig.rowItems, i, j, len, item, col, cell, result; for(j = 0; j < length; j++){ col = columns[j]; cell = { value: null }; if(j === 0){ cell.value = countLeft ? this.grandTotalText : (countAgg ? this.totalText : null); }else if(col.aggregate){ result = matrix.results.items.map[matrix.grandTotalKey + '/' + col.key]; cell.value = result ? result.values[col.dataIndex] : null; } cells.push(cell); } rows.push({ cells: cells }); rowItems.push({ t: 'grand', x: 0 }); }, generatePivotColTotals: function(params, row) { var matrix = this._matrix, colItems = params.pivotConfig.colItems, dataIndexes = params.dataIndexes, aggregates = matrix.aggregate.items, countAgg = matrix.aggregate.items.length, countTop = matrix.topAxis.dimensions.items.length, i, item; if(countTop === 0){ for(i = 0; i < countAgg; i++) { item = aggregates[i]; row.cells.push({ value: item.excelName }); dataIndexes.push({ aggregate: true, key: matrix.grandTotalKey, dataIndex: item.id }); colItems.push({ t: 'grand', i: i, x: 0 }); } } else { if(countAgg <= 1){ row.cells.push({ value: this.grandTotalText }); dataIndexes.push({ aggregate: true, key: matrix.grandTotalKey, dataIndex: countAgg ? aggregates[0].id : '' }); colItems.push({ t: 'grand', x: 0 }); }else{ for(i = 0; i < countAgg; i++) { item = aggregates[i]; row.cells.push({ value: this.totalText + ' ' + item.excelName }); dataIndexes.push({ aggregate: true, key: matrix.grandTotalKey, dataIndex: item.id }); colItems.push({ t: 'grand', i: i, x: 0 }); } } } }, generatePivotData: function(params) { var ws = params.worksheet, location = params.pivotConfig.location, len, i, ref; len = params.header.length; for(i = 0; i < len; i++){ ref = ws.renderRow(params.header[i]); if(i === 0){ location.ref = ref.first + ':'; } } ws.renderRows(params.body); ws.renderRows(params.totals); location.ref += ws.getBottomRightRef(); }, /** * The pivot table needs to know what fields are used as data (aggregate) fields. This function * generates this list of fields. * * @param params * @private */ generatePivotDataFields: function(params) { var matrix = this._matrix, fields = params.data.fields, aggMap = this.aggregateMap, countAgg = matrix.aggregate.items.length, i, dimension; for(i = 0; i < countAgg; i++) { dimension = matrix.aggregate.items[i]; params.pivotConfig.dataFields.push({ name: dimension.excelName, fld: Ext.Array.indexOf(fields, dimension.dataIndex), subtotal: aggMap[dimension.aggregator] || 'sum', baseField: 0, baseItem: 0 }); } }, /** * The pivot table needs a list of all fields available in the source sheet and what unique values * are available for each field. * * @param params * @private */ generatePivotFields: function(params) { var me = this, matrix = me._matrix, data = params.data, fields = data.fields, uniqueValues = data.uniqueValues, countAgg = matrix.aggregate.items.length, i, j, len, length, field, item, dimension; // setup pivot fields: the pivot table needs to know what unique values are available // for each pivot field, which fields are used on row/column axis and which fields are data fields len = fields.length; for(i = 0; i < len; i++) { field = fields[i]; item = { showAll: false }; for(j = 0; j < countAgg; j++) { dimension = matrix.aggregate.items[j]; if(dimension.dataIndex === field) { item.dataField = true; break; } } if(dimension = me.getDimension(matrix.aggregate, field)) { // do nothing; we parsed all aggregates above; // we just need its unique values } else if(dimension = me.getDimension(matrix.leftAxis.dimensions, field)) { item.axis = 'axisRow'; if(dimension.getSortable()) { item.sortType = (dimension.direction === 'ASC' ? 'ascending' : 'descending'); } else { item.sortType = 'manual'; } } else if(dimension = me.getDimension(matrix.topAxis.dimensions, field)) { item.axis = 'axisCol'; if(dimension.getSortable()) { item.sortType = (dimension.direction === 'ASC' ? 'ascending' : 'descending'); } else { item.sortType = 'manual'; } } if(dimension) { item.items = []; length = uniqueValues[field].length; for (j = 0; j < length; j++) { item.items.push({ x: j }); } item.items.push({ t: 'default' }); } params.pivotConfig.cacheDefinition.cacheFields.push({ name: field, sharedItems: { items: dimension && !dimension.isAggregate ? uniqueValues[field] : [] } }); params.pivotConfig.pivotFields.push(item); } }, /** * Generates the list of fields used as left axis dimensions used by the pivot table. * * @param params * @private */ generatePivotRowFields: function(params) { var matrix = this._matrix, fields = params.data.fields, countLeft = matrix.leftAxis.dimensions.items.length, i; // setup row fields: this informs the pivot table what fields are used on the row axis for(i = 0; i < countLeft; i++){ params.pivotConfig.rowFields.push({ x: Ext.Array.indexOf(fields, matrix.leftAxis.dimensions.items[i].dataIndex) }); } }, /** * Generates the list of top axis dimensions used by the pivot table. * * @param params * @private */ generatePivotColumnFields: function(params) { var matrix = this._matrix, fields = params.data.fields, countAgg = matrix.aggregate.items.length, countTop = matrix.topAxis.dimensions.items.length, i; // setup col fields: this informs the pivot table what fields are used on the column axis for(i = 0; i < countTop; i++){ params.pivotConfig.colFields.push({ x: Ext.Array.indexOf(fields, matrix.topAxis.dimensions.items[i].dataIndex) }); } if(countAgg > 1){ params.pivotConfig.colFields.push({ x: -2 }); } }, /** * This function parses the matrix store and extracts all data and all unique values for each field. * * @param store * @return {Object} * @private */ buildStoreRows: function(store){ var result = { rows: [], cache: [], fields: [], uniqueValues: {} }, fields, i, j, len, length, field, row, record, item, cache; fields = store.model.getFields(); len = fields.length; for (i = 0; i < len; i++) { field = fields[i].getName(); result.fields.push(field); result.uniqueValues[field] = []; } length = store.data.length; for (i = 0; i < length; i++) { row = []; cache = []; record = store.data.items[i]; for (j = 0; j < len; j++) { field = result.fields[j]; item = record.get(field); row.push({ value: item }); cache.push(item); if(Ext.Array.indexOf(result.uniqueValues[field], item) === -1) { result.uniqueValues[field].push(item); } } result.rows.push(row); result.cache.push(cache); } return result; }, /** * Excel pivot table needs unique aggregate names so we need to ensure the matrix aggregate * dimensions are unique * * @param fields * @private */ setupUniqueAggregateNames: function(fields){ var aggregates = this._matrix.aggregate, len = aggregates.getCount(), length = fields.length, data = [], index, i, j, agg, name, temp; for(i = 0; i < len; i++) { agg = aggregates.getAt(i); name = agg.dataIndex || agg.header; temp = name; index = 2; for(j = 0; j < length; j++) { if(String(temp).toLowerCase() === String(fields[j]).toLowerCase() || Ext.Array.indexOf(data, temp) >= 0){ temp = name + index; index++; j = -1; } } data.push(temp); agg.excelName = temp; } }, setupUniqueValues: function(dimensions, uniqueValues){ var items = dimensions.items, len = items.length, i, item; for(i = 0; i < len; i++){ item = items[i]; uniqueValues[item.dataIndex] = Ext.Array.pluck(item.values.items, 'value'); } }, /** * Find the dimension that matches the dataIndex and return the index * * @param collection * @param name * @return {Number} * @private */ getDimension: function(collection, name){ var index = collection.findIndex('dataIndex', name, 0, false, true); return index >= 0 ? collection.getAt(index) : null; }, /** * When there's only one aggregate available then the pivot table headers look like this * * | USA | | | | | | | USA Sum | Sum | * | 2012| | | 2012 Sum | 2013| | 2013 Sum | | | * | 1 | 2 | 3 | | 1 | 2 | | | | * * When there are multiple aggregates available then the pivot table headers look like this * * | USA | | | | | | | | | | | | USA Sum | USA Avg | Sum | Avg | * | 2012| | | | 2012 Sum | 2012 Avg | 2013| | | | 2013 Sum | 2013 Avg | | | | | * | 1 | | 2 | | | | 1 | | 2 | | | | | | | | * | sum | avg | sum | avg | | | sum | avg | sum | avg | | | | | | | * * * @param params * @param colIndex * @param items * @private */ generateTopAxisColumns: function(params, colIndex, items){ var matrix = this._matrix, uniqueValues = params.data.uniqueValues, columns = params.columns, aggregates = matrix.aggregate.items, ret = [], i, j, k, len, length, levels, item, agg, col, level, obj, result, index; if(!items ){ items = matrix.topAxis.getTree(); } len = items.length; length = aggregates.length; for(i = 0; i < len; i++) { item = items[i]; index = Ext.Array.indexOf(uniqueValues[item.dimension.dataIndex], item.value); level = item.level; columns[level] = columns[level] || []; col = { value: item.value == null ? '(blank)' : item.value, index: index }; columns[level].push(col); if(item.children){ result = this.generateTopAxisColumns(params, colIndex, item.children); // fill in the current level with empty columns levels = result.length; for(j = 1; j < levels; j++){ columns[level].push({ value: '', empty: true }); } for(j = 0; j < length; j++) { // add group total agg = aggregates[j]; obj = { value: col.value + ' ' + (agg.excelName) }; columns[level].push(obj); result.push(obj); // fill in the bottom levels with empty columns below the group total levels = columns.length; for(k = level + 1; k < levels; k++) { if(k === levels - 1) { // on the last level we store the dataIndex columns[k].push({ aggregate: true, value: '', key: item.key, dataIndex: agg.id, colItem: { t: 'default', i: j, x: index } }); } else { columns[k].push({ value: '', empty: true }); } } } Ext.Array.insert(ret, ret.length, result); colIndex += result.length; } else { if(length <= 1) { ret.push(col); colIndex++; col.aggregate = true; col.colItem = this.getColItem(colIndex, 0, columns); } if(length === 1){ col.key = item.key; col.dataIndex = aggregates[0].id; } else if(length > 1) { level++; columns[level] = columns[level] || []; for(j = 0; j < length; j++) { agg = aggregates[j]; colIndex++; obj = { aggregate: true, value: agg.excelName, index: j, key: item.key, dataIndex: agg.id }; columns[level].push(obj); obj.colItem = this.getColItem(colIndex, j, columns); ret.push(obj); if(j > 0) { columns[level - 1].push({ value: '', empty: true }); } } } } } return ret; }, /** * Format an excel pivot table colItem * * @param colIndex * @param aggIndex * @param columns * @return {Object} * @private */ getColItem: function(colIndex, aggIndex, columns){ var colItem = { i: aggIndex }, r = 0, x = [], len = columns.length, i, col; // we need to parse columns from top to bottom on the colIndex and find out what values are empty // so we can calculate r & x for(i = 0; i < len; i++) { col = columns[i][colIndex]; if(col) { if(!col.empty){ x.push(col.index); } else { //r++; } } else { r++; } } colItem.r = r; colItem.x = x; return colItem; }});