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