mirror of
https://github.com/n8n-io/n8n.git
synced 2024-11-14 16:44:07 -08:00
232 lines
6 KiB
TypeScript
232 lines
6 KiB
TypeScript
import type { IExecuteFunctions, INodeExecutionData, INodeProperties } from 'n8n-workflow';
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import { BINARY_ENCODING, NodeOperationError } from 'n8n-workflow';
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import type { Sheet2JSONOpts, WorkBook, ParsingOptions } from 'xlsx';
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import { read as xlsxRead, readFile as xlsxReadFile, utils as xlsxUtils } from 'xlsx';
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import { parse as createCSVParser } from 'csv-parse';
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import { binaryProperty, fromFileOptions } from '../description';
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export const description: INodeProperties[] = [
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binaryProperty,
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{
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displayName: 'File Format',
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name: 'fileFormat',
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type: 'options',
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options: [
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{
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name: 'Autodetect',
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value: 'autodetect',
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},
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{
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name: 'CSV',
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value: 'csv',
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description: 'Comma-separated values',
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},
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{
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name: 'HTML',
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value: 'html',
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description: 'HTML Table',
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},
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{
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name: 'ODS',
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value: 'ods',
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description: 'OpenDocument Spreadsheet',
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},
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{
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name: 'RTF',
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value: 'rtf',
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description: 'Rich Text Format',
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},
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{
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name: 'XLS',
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value: 'xls',
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description: 'Excel',
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},
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{
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name: 'XLSX',
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value: 'xlsx',
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description: 'Excel',
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},
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],
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default: 'autodetect',
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description: 'The format of the binary data to read from',
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displayOptions: {
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show: {
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operation: ['fromFile'],
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},
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},
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},
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fromFileOptions,
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];
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export async function execute(
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this: IExecuteFunctions,
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items: INodeExecutionData[],
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fileFormatProperty = 'fileFormat',
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) {
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const returnData: INodeExecutionData[] = [];
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let fileExtension;
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let fileFormat;
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for (let i = 0; i < items.length; i++) {
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try {
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const options = this.getNodeParameter('options', i, {});
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fileFormat = this.getNodeParameter(fileFormatProperty, i, '');
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const binaryPropertyName = this.getNodeParameter('binaryPropertyName', i);
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const binaryData = this.helpers.assertBinaryData(i, binaryPropertyName);
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fileExtension = binaryData.fileExtension;
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let rows: unknown[] = [];
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if (
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fileFormat === 'autodetect' &&
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(binaryData.mimeType === 'text/csv' ||
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(binaryData.mimeType === 'text/plain' && binaryData.fileExtension === 'csv'))
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) {
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fileFormat = 'csv';
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}
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if (fileFormat === 'csv') {
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const maxRowCount = options.maxRowCount as number;
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const parser = createCSVParser({
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delimiter: options.delimiter as string,
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fromLine: options.fromLine as number,
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encoding: options.encoding as BufferEncoding,
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bom: options.enableBOM as boolean,
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to: maxRowCount > -1 ? maxRowCount : undefined,
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columns: options.headerRow !== false,
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onRecord: (record) => {
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if (!options.includeEmptyCells) {
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record = Object.fromEntries(
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Object.entries(record).filter(([_key, value]) => value !== ''),
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);
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}
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rows.push(record);
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},
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});
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if (binaryData.id) {
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const stream = await this.helpers.getBinaryStream(binaryData.id);
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await new Promise<void>(async (resolve, reject) => {
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parser.on('error', reject);
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parser.on('readable', () => {
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stream.unpipe(parser);
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stream.destroy();
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resolve();
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});
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stream.pipe(parser);
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});
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} else {
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parser.write(binaryData.data, BINARY_ENCODING);
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parser.end();
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}
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} else {
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let workbook: WorkBook;
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const xlsxOptions: ParsingOptions = { raw: options.rawData as boolean };
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if (options.readAsString) xlsxOptions.type = 'string';
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if (binaryData.id) {
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const binaryPath = this.helpers.getBinaryPath(binaryData.id);
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workbook = xlsxReadFile(binaryPath, xlsxOptions);
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} else {
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const binaryDataBuffer = Buffer.from(binaryData.data, BINARY_ENCODING);
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workbook = xlsxRead(
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options.readAsString ? binaryDataBuffer.toString() : binaryDataBuffer,
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xlsxOptions,
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);
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}
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if (workbook.SheetNames.length === 0) {
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throw new NodeOperationError(this.getNode(), 'Spreadsheet does not have any sheets!', {
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itemIndex: i,
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});
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}
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let sheetName = workbook.SheetNames[0];
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if (options.sheetName) {
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if (!workbook.SheetNames.includes(options.sheetName as string)) {
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throw new NodeOperationError(
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this.getNode(),
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`Spreadsheet does not contain sheet called "${options.sheetName}"!`,
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{ itemIndex: i },
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);
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}
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sheetName = options.sheetName as string;
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}
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// Convert it to json
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const sheetToJsonOptions: Sheet2JSONOpts = {};
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if (options.range) {
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if (isNaN(options.range as number)) {
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sheetToJsonOptions.range = options.range;
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} else {
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sheetToJsonOptions.range = parseInt(options.range as string, 10);
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}
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}
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if (options.includeEmptyCells) {
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sheetToJsonOptions.defval = '';
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}
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if (options.headerRow === false) {
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sheetToJsonOptions.header = 1; // Consider the first row as a data row
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}
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rows = xlsxUtils.sheet_to_json(workbook.Sheets[sheetName], sheetToJsonOptions);
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// Check if data could be found in file
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if (rows.length === 0) {
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continue;
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}
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}
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// Add all the found data columns to the workflow data
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if (options.headerRow === false) {
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// Data was returned as an array - https://github.com/SheetJS/sheetjs#json
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for (const rowData of rows) {
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returnData.push({
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json: {
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row: rowData,
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},
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pairedItem: {
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item: i,
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},
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} as INodeExecutionData);
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}
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} else {
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for (const rowData of rows) {
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returnData.push({
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json: rowData,
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pairedItem: {
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item: i,
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},
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} as INodeExecutionData);
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}
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}
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} catch (error) {
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let errorDescription = error.description;
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if (fileExtension && fileExtension !== fileFormat) {
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error.message = `The file selected in 'Input Binary Field' is not in ${fileFormat} format`;
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errorDescription = `Try to change the operation or select a ${fileFormat} file in 'Input Binary Field'`;
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}
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if (this.continueOnFail()) {
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returnData.push({
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json: {
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error: error.message,
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},
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pairedItem: {
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item: i,
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},
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});
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continue;
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}
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throw new NodeOperationError(this.getNode(), error, {
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itemIndex: i,
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description: errorDescription,
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});
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}
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}
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return returnData;
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}
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