mirror of
https://github.com/n8n-io/n8n.git
synced 2024-12-27 13:39:44 -08:00
208 lines
5.7 KiB
TypeScript
208 lines
5.7 KiB
TypeScript
import { IDataObject, IPollFunctions } from 'n8n-workflow';
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import { apiRequest } from './v2/transport';
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import { SheetDataRow, SheetRangeData } from './v2/helpers/GoogleSheets.types';
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import * as XLSX from 'xlsx';
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import { isEqual, zip } from 'lodash';
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export const BINARY_MIME_TYPE = 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet';
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type DiffData = Array<{
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rowIndex: number;
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previous: SheetDataRow;
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current: SheetDataRow;
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changeType: string;
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}>;
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export async function getRevisionFile(this: IPollFunctions, exportLink: string) {
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const mimeType = BINARY_MIME_TYPE;
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const response = await apiRequest.call(
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this,
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'GET',
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'',
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undefined,
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{ mimeType },
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exportLink,
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undefined,
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{
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resolveWithFullResponse: true,
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encoding: null,
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json: false,
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},
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);
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return Buffer.from(response.body as string);
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}
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export function sheetBinaryToArrayOfArrays(
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data: Buffer,
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sheetName: string,
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range: string | undefined,
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) {
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const workbook = XLSX.read(data, { type: 'buffer', sheets: [sheetName] });
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const sheet = workbook.Sheets[sheetName];
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const sheetData: string[][] = sheet['!ref']
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? XLSX.utils.sheet_to_json(sheet, { header: 1, defval: '', range })
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: [];
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const lastDataRowIndex = sheetData.reduce((lastRowIndex, row, rowIndex) => {
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if (row.some((cell) => cell !== '')) {
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return rowIndex;
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}
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return lastRowIndex;
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}, 0);
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return sheetData.slice(0, lastDataRowIndex + 1);
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}
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export function arrayOfArraysToJson(sheetData: SheetRangeData, columns: SheetDataRow) {
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const returnData: IDataObject[] = [];
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for (let rowIndex = 0; rowIndex < sheetData.length; rowIndex++) {
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const rowData: IDataObject = {};
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for (let columnIndex = 0; columnIndex < columns.length; columnIndex++) {
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const columnName = columns[columnIndex];
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const cellValue = sheetData[rowIndex][columnIndex] || '';
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rowData[columnName] = cellValue;
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}
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returnData.push(rowData);
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}
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return returnData;
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}
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const getSpecificColumns = (
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row: SheetDataRow,
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selectedColumns: SheetDataRow,
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columns: SheetDataRow,
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) => {
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return row ? selectedColumns.map((column) => row[columns.indexOf(column) - 1]) : [];
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};
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const extractVersionData = (
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data: DiffData,
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version: 'previous' | 'current',
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triggerEvent: string,
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) => {
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if (triggerEvent === 'anyUpdate') {
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return data.map(({ [version]: entry, rowIndex, changeType }) =>
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entry ? [rowIndex, changeType, ...entry] : [rowIndex, changeType],
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);
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}
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return data.map(({ [version]: entry, rowIndex }) => (entry ? [rowIndex, ...entry] : [rowIndex]));
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};
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export function compareRevisions(
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previous: SheetRangeData,
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current: SheetRangeData,
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keyRow: number,
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includeInOutput: string,
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columnsToWatch: string[],
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dataStartIndex: number,
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event: string,
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) {
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const dataLength = current.length > previous.length ? current.length : previous.length;
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const columnsRowIndex = keyRow - 1;
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const columnsInCurrent = current[columnsRowIndex];
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const columnsInPrevious = previous[columnsRowIndex];
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let columns: SheetDataRow =
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event === 'anyUpdate' ? ['row_number', 'change_type'] : ['row_number'];
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if (columnsInCurrent !== undefined && columnsInPrevious !== undefined) {
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columns =
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columnsInCurrent.length > columnsInPrevious.length
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? columns.concat(columnsInCurrent)
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: columns.concat(columnsInPrevious);
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} else if (columnsInCurrent !== undefined) {
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columns = columns.concat(columnsInCurrent);
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} else if (columnsInPrevious !== undefined) {
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columns = columns.concat(columnsInPrevious);
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}
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const diffData: DiffData = [];
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for (let i = dataStartIndex; i < dataLength; i++) {
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if (i === columnsRowIndex) {
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continue;
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}
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// sheets API omits trailing empty columns, xlsx does not - so we need to pad the shorter array
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if (Array.isArray(current[i]) && Array.isArray(previous[i])) {
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while (current[i].length < previous[i].length) {
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current[i].push('');
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}
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}
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// if columnsToWatch is defined, only compare those columns
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if (columnsToWatch?.length) {
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const currentRow = getSpecificColumns(current[i], columnsToWatch, columns);
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const previousRow = getSpecificColumns(previous[i], columnsToWatch, columns);
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if (isEqual(currentRow, previousRow)) continue;
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} else {
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if (isEqual(current[i], previous[i])) continue;
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}
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if (event === 'rowUpdate' && (!previous[i] || previous[i].every((cell) => cell === '')))
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continue;
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let changeType = 'updated';
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if (previous[i] === undefined) {
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previous[i] = current[i].map(() => '');
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changeType = 'added';
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}
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if (current[i] === undefined) continue;
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diffData.push({
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rowIndex: i + 1,
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previous: previous[i],
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current: current[i],
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changeType,
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});
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}
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if (includeInOutput === 'old') {
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return arrayOfArraysToJson(extractVersionData(diffData, 'previous', event), columns);
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}
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if (includeInOutput === 'both') {
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const previousData = arrayOfArraysToJson(
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extractVersionData(diffData, 'previous', event),
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columns,
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).map((row) => ({ previous: row }));
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const currentData = arrayOfArraysToJson(
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extractVersionData(diffData, 'current', event),
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columns,
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).map((row) => ({ current: row }));
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const differences = currentData.map(({ current: currentRow }, index) => {
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const { row_number, ...rest } = currentRow;
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const returnData: IDataObject = {};
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returnData.row_number = row_number;
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Object.keys(rest).forEach((key) => {
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const previousValue = previousData[index].previous[key];
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const currentValue = currentRow[key];
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if (isEqual(previousValue, currentValue)) return;
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returnData[key] = {
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previous: previousValue,
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current: currentValue,
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};
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});
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return { differences: returnData };
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});
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return zip(previousData, currentData, differences).map((row) => Object.assign({}, ...row));
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}
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return arrayOfArraysToJson(extractVersionData(diffData, 'current', event), columns);
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}
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