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https://github.com/Abdulazizzn/n8n-enterprise-unlocked.git
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refactor(Spreadsheet File Node): Reduce memory usage when loading CSV files (#7095)
Co-authored-by: Michael Kret <michael.k@radency.com>
This commit is contained in:
कारतोफ्फेलस्क्रिप्ट™
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GitHub
parent
2f647974f4
commit
689a77cc87
@@ -1,495 +1,25 @@
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import type {
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IDataObject,
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IExecuteFunctions,
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INodeExecutionData,
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INodeType,
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INodeTypeDescription,
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} from 'n8n-workflow';
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import { NodeOperationError } from 'n8n-workflow';
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import type { INodeTypeBaseDescription, IVersionedNodeType } from 'n8n-workflow';
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import { VersionedNodeType } from 'n8n-workflow';
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import type { JSON2SheetOpts, Sheet2JSONOpts, WorkBook, WritingOptions } from 'xlsx';
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import { read as xlsxRead, utils as xlsxUtils, write as xlsxWrite } from 'xlsx';
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import { SpreadsheetFileV1 } from './v1/SpreadsheetFileV1.node';
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import { SpreadsheetFileV2 } from './v2/SpreadsheetFileV2.node';
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/**
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* Flattens an object with deep data
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*
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* @param {IDataObject} data The object to flatten
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*/
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function flattenObject(data: IDataObject) {
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const returnData: IDataObject = {};
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for (const key1 of Object.keys(data)) {
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if (data[key1] !== null && typeof data[key1] === 'object') {
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if (data[key1] instanceof Date) {
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returnData[key1] = data[key1]?.toString();
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continue;
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}
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const flatObject = flattenObject(data[key1] as IDataObject);
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for (const key2 in flatObject) {
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if (flatObject[key2] === undefined) {
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continue;
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}
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returnData[`${key1}.${key2}`] = flatObject[key2];
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}
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} else {
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returnData[key1] = data[key1];
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}
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}
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return returnData;
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}
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export class SpreadsheetFile extends VersionedNodeType {
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constructor() {
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const baseDescription: INodeTypeBaseDescription = {
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displayName: 'Spreadsheet File',
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name: 'spreadsheetFile',
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icon: 'fa:table',
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group: ['transform'],
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description: 'Reads and writes data from a spreadsheet file like CSV, XLS, ODS, etc',
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defaultVersion: 2,
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};
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export class SpreadsheetFile implements INodeType {
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description: INodeTypeDescription = {
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displayName: 'Spreadsheet File',
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name: 'spreadsheetFile',
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icon: 'fa:table',
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group: ['transform'],
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version: 1,
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description: 'Reads and writes data from a spreadsheet file like CSV, XLS, ODS, etc',
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defaults: {
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name: 'Spreadsheet File',
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color: '#2244FF',
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},
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inputs: ['main'],
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outputs: ['main'],
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properties: [
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{
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displayName: 'Operation',
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name: 'operation',
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type: 'options',
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noDataExpression: true,
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options: [
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{
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name: 'Read From File',
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value: 'fromFile',
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description: 'Reads data from a spreadsheet file',
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action: 'Read data from a spreadsheet file',
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},
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{
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name: 'Write to File',
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value: 'toFile',
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description: 'Writes the workflow data to a spreadsheet file',
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action: 'Write data to a spreadsheet file',
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},
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],
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default: 'fromFile',
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},
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const nodeVersions: IVersionedNodeType['nodeVersions'] = {
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1: new SpreadsheetFileV1(baseDescription),
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2: new SpreadsheetFileV2(baseDescription),
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};
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// ----------------------------------
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// fromFile
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// ----------------------------------
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{
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displayName: 'Binary Property',
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name: 'binaryPropertyName',
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type: 'string',
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default: 'data',
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required: true,
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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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placeholder: '',
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description:
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'Name of the binary property from which to read the binary data of the spreadsheet file',
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},
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// ----------------------------------
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// toFile
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// ----------------------------------
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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: '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: 'xls',
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displayOptions: {
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show: {
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operation: ['toFile'],
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},
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},
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description: 'The format of the file to save the data as',
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},
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{
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displayName: 'Binary Property',
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name: 'binaryPropertyName',
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type: 'string',
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default: 'data',
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required: true,
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displayOptions: {
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show: {
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operation: ['toFile'],
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},
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},
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placeholder: '',
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description:
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'Name of the binary property in which to save the binary data of the spreadsheet file',
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},
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{
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displayName: 'Options',
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name: 'options',
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type: 'collection',
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placeholder: 'Add Option',
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default: {},
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options: [
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{
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displayName: 'Compression',
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name: 'compression',
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type: 'boolean',
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displayOptions: {
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show: {
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'/operation': ['toFile'],
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'/fileFormat': ['xlsx', 'ods'],
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},
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},
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default: false,
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description: 'Whether compression will be applied or not',
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},
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{
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displayName: 'File Name',
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name: 'fileName',
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type: 'string',
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displayOptions: {
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show: {
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'/operation': ['toFile'],
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},
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},
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default: '',
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description:
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'File name to set in binary data. By default will "spreadsheet.<fileFormat>" be used.',
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},
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{
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displayName: 'Header Row',
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name: 'headerRow',
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type: 'boolean',
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displayOptions: {
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show: {
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'/operation': ['fromFile', 'toFile'],
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},
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},
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default: true,
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description: 'Whether the first row of the file contains the header names',
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},
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{
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displayName: 'Include Empty Cells',
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name: 'includeEmptyCells',
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type: 'boolean',
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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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default: false,
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// eslint-disable-next-line n8n-nodes-base/node-param-description-boolean-without-whether
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description:
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'When reading from file the empty cells will be filled with an empty string in the JSON',
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},
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{
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displayName: 'RAW Data',
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name: 'rawData',
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type: 'boolean',
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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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default: false,
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description: 'Whether the data should be returned RAW instead of parsed',
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},
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{
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displayName: 'Read As String',
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name: 'readAsString',
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type: 'boolean',
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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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default: false,
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// eslint-disable-next-line n8n-nodes-base/node-param-description-boolean-without-whether
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description:
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'In some cases and file formats, it is necessary to read specifically as string else some special character get interpreted wrong',
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},
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{
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displayName: 'Range',
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name: 'range',
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type: 'string',
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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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default: '',
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description:
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'The range to read from the table. If set to a number it will be the starting row. If set to string it will be used as A1-style bounded range.',
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},
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{
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displayName: 'Sheet Name',
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name: 'sheetName',
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type: 'string',
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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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default: 'Sheet',
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description:
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'Name of the sheet to read from in the spreadsheet (if supported). If not set, the first one gets chosen.',
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},
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{
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displayName: 'Sheet Name',
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name: 'sheetName',
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type: 'string',
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displayOptions: {
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show: {
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'/operation': ['toFile'],
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'/fileFormat': ['ods', 'xls', 'xlsx'],
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},
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},
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default: 'Sheet',
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description: 'Name of the sheet to create in the spreadsheet',
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},
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],
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},
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],
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};
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async execute(this: IExecuteFunctions): Promise<INodeExecutionData[][]> {
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const items = this.getInputData();
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const operation = this.getNodeParameter('operation', 0);
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const newItems: INodeExecutionData[] = [];
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if (operation === 'fromFile') {
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// Read data from spreadsheet file to workflow
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for (let i = 0; i < items.length; i++) {
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try {
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const binaryPropertyName = this.getNodeParameter('binaryPropertyName', i);
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const options = this.getNodeParameter('options', i, {});
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this.helpers.assertBinaryData(i, binaryPropertyName);
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// Read the binary spreadsheet data
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const binaryDataBuffer = await this.helpers.getBinaryDataBuffer(i, binaryPropertyName);
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let workbook;
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if (options.readAsString === true) {
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workbook = xlsxRead(binaryDataBuffer.toString(), {
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type: 'string',
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raw: options.rawData as boolean,
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});
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} else {
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workbook = xlsxRead(binaryDataBuffer, { raw: options.rawData as boolean });
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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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const sheetJson = 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 (sheetJson.length === 0) {
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continue;
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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 sheetJson) {
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newItems.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 sheetJson) {
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newItems.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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if (this.continueOnFail()) {
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newItems.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 error;
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}
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}
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return [newItems];
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} else if (operation === 'toFile') {
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try {
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// Write the workflow data to spreadsheet file
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const binaryPropertyName = this.getNodeParameter('binaryPropertyName', 0);
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const fileFormat = this.getNodeParameter('fileFormat', 0) as string;
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const options = this.getNodeParameter('options', 0, {});
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const sheetToJsonOptions: JSON2SheetOpts = {};
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if (options.headerRow === false) {
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sheetToJsonOptions.skipHeader = true;
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}
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// Get the json data of the items and flatten it
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let item: INodeExecutionData;
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const itemData: IDataObject[] = [];
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for (let itemIndex = 0; itemIndex < items.length; itemIndex++) {
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item = items[itemIndex];
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itemData.push(flattenObject(item.json));
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}
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const ws = xlsxUtils.json_to_sheet(itemData, sheetToJsonOptions);
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const wopts: WritingOptions = {
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bookSST: false,
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type: 'buffer',
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};
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if (fileFormat === 'csv') {
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wopts.bookType = 'csv';
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} else if (fileFormat === 'html') {
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wopts.bookType = 'html';
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} else if (fileFormat === 'rtf') {
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wopts.bookType = 'rtf';
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} else if (fileFormat === 'ods') {
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wopts.bookType = 'ods';
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if (options.compression) {
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wopts.compression = true;
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}
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} else if (fileFormat === 'xls') {
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wopts.bookType = 'xls';
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} else if (fileFormat === 'xlsx') {
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wopts.bookType = 'xlsx';
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if (options.compression) {
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wopts.compression = true;
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}
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}
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// Convert the data in the correct format
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const sheetName = (options.sheetName as string) || 'Sheet';
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const wb: WorkBook = {
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SheetNames: [sheetName],
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Sheets: {
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[sheetName]: ws,
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},
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};
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const wbout: Buffer = xlsxWrite(wb, wopts);
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// Create a new item with only the binary spreadsheet data
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const newItem: INodeExecutionData = {
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json: {},
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binary: {},
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pairedItem: {
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item: 0,
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},
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};
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let fileName = `spreadsheet.${fileFormat}`;
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if (options.fileName !== undefined) {
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fileName = options.fileName as string;
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}
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newItem.binary![binaryPropertyName] = await this.helpers.prepareBinaryData(wbout, fileName);
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newItems.push(newItem);
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} catch (error) {
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if (this.continueOnFail()) {
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newItems.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: 0,
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},
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});
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} else {
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throw error;
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}
|
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}
|
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} else {
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if (this.continueOnFail()) {
|
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return [[{ json: { error: `The operation "${operation}" is not supported!` } }]];
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} else {
|
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throw new NodeOperationError(
|
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this.getNode(),
|
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`The operation "${operation}" is not supported!`,
|
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);
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}
|
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}
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return [newItems];
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super(nodeVersions, baseDescription);
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}
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}
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285
packages/nodes-base/nodes/SpreadsheetFile/description.ts
Normal file
285
packages/nodes-base/nodes/SpreadsheetFile/description.ts
Normal file
@@ -0,0 +1,285 @@
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import type { INodeProperties } from 'n8n-workflow';
|
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|
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export const operationProperties: INodeProperties[] = [
|
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{
|
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displayName: 'Operation',
|
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name: 'operation',
|
||||
type: 'options',
|
||||
noDataExpression: true,
|
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options: [
|
||||
{
|
||||
name: 'Read From File',
|
||||
value: 'fromFile',
|
||||
description: 'Reads data from a spreadsheet file',
|
||||
action: 'Read data from a spreadsheet file',
|
||||
},
|
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{
|
||||
name: 'Write to File',
|
||||
value: 'toFile',
|
||||
description: 'Writes the workflow data to a spreadsheet file',
|
||||
action: 'Write data to a spreadsheet file',
|
||||
},
|
||||
],
|
||||
default: 'fromFile',
|
||||
},
|
||||
];
|
||||
|
||||
export const fromFileProperties: INodeProperties[] = [
|
||||
{
|
||||
displayName: 'Binary Property',
|
||||
name: 'binaryPropertyName',
|
||||
type: 'string',
|
||||
default: 'data',
|
||||
required: true,
|
||||
displayOptions: {
|
||||
show: {
|
||||
operation: ['fromFile'],
|
||||
},
|
||||
},
|
||||
placeholder: '',
|
||||
description:
|
||||
'Name of the binary property from which to read the binary data of the spreadsheet file',
|
||||
},
|
||||
];
|
||||
|
||||
export const fromFileV2Properties: INodeProperties[] = [
|
||||
{
|
||||
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',
|
||||
displayOptions: {
|
||||
show: {
|
||||
operation: ['fromFile'],
|
||||
},
|
||||
},
|
||||
description: 'The format of the binary data to read from',
|
||||
},
|
||||
];
|
||||
|
||||
export const toFileProperties: INodeProperties[] = [
|
||||
{
|
||||
displayName: 'File Format',
|
||||
name: 'fileFormat',
|
||||
type: 'options',
|
||||
options: [
|
||||
{
|
||||
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: 'xls',
|
||||
displayOptions: {
|
||||
show: {
|
||||
operation: ['toFile'],
|
||||
},
|
||||
},
|
||||
description: 'The format of the file to save the data as',
|
||||
},
|
||||
{
|
||||
displayName: 'Binary Property',
|
||||
name: 'binaryPropertyName',
|
||||
type: 'string',
|
||||
default: 'data',
|
||||
required: true,
|
||||
displayOptions: {
|
||||
show: {
|
||||
operation: ['toFile'],
|
||||
},
|
||||
},
|
||||
placeholder: '',
|
||||
description:
|
||||
'Name of the binary property in which to save the binary data of the spreadsheet file',
|
||||
},
|
||||
];
|
||||
|
||||
export const optionsProperties: INodeProperties[] = [
|
||||
{
|
||||
displayName: 'Options',
|
||||
name: 'options',
|
||||
type: 'collection',
|
||||
placeholder: 'Add Option',
|
||||
default: {},
|
||||
options: [
|
||||
{
|
||||
displayName: 'Compression',
|
||||
name: 'compression',
|
||||
type: 'boolean',
|
||||
displayOptions: {
|
||||
show: {
|
||||
'/operation': ['toFile'],
|
||||
'/fileFormat': ['xlsx', 'ods'],
|
||||
},
|
||||
},
|
||||
default: false,
|
||||
description: 'Whether compression will be applied or not',
|
||||
},
|
||||
{
|
||||
displayName: 'File Name',
|
||||
name: 'fileName',
|
||||
type: 'string',
|
||||
displayOptions: {
|
||||
show: {
|
||||
'/operation': ['toFile'],
|
||||
},
|
||||
},
|
||||
default: '',
|
||||
description:
|
||||
'File name to set in binary data. By default will "spreadsheet.<fileFormat>" be used.',
|
||||
},
|
||||
{
|
||||
displayName: 'Header Row',
|
||||
name: 'headerRow',
|
||||
type: 'boolean',
|
||||
displayOptions: {
|
||||
show: {
|
||||
'/operation': ['fromFile', 'toFile'],
|
||||
},
|
||||
},
|
||||
default: true,
|
||||
description: 'Whether the first row of the file contains the header names',
|
||||
},
|
||||
{
|
||||
displayName: 'Include Empty Cells',
|
||||
name: 'includeEmptyCells',
|
||||
type: 'boolean',
|
||||
displayOptions: {
|
||||
show: {
|
||||
'/operation': ['fromFile'],
|
||||
},
|
||||
},
|
||||
default: false,
|
||||
// eslint-disable-next-line n8n-nodes-base/node-param-description-boolean-without-whether
|
||||
description:
|
||||
'When reading from file the empty cells will be filled with an empty string in the JSON',
|
||||
},
|
||||
{
|
||||
displayName: 'RAW Data',
|
||||
name: 'rawData',
|
||||
type: 'boolean',
|
||||
displayOptions: {
|
||||
show: {
|
||||
'/operation': ['fromFile'],
|
||||
},
|
||||
},
|
||||
default: false,
|
||||
description: 'Whether the data should be returned RAW instead of parsed',
|
||||
},
|
||||
{
|
||||
displayName: 'Read As String',
|
||||
name: 'readAsString',
|
||||
type: 'boolean',
|
||||
displayOptions: {
|
||||
show: {
|
||||
'/operation': ['fromFile'],
|
||||
},
|
||||
},
|
||||
default: false,
|
||||
// eslint-disable-next-line n8n-nodes-base/node-param-description-boolean-without-whether
|
||||
description:
|
||||
'In some cases and file formats, it is necessary to read specifically as string else some special character get interpreted wrong',
|
||||
},
|
||||
{
|
||||
displayName: 'Range',
|
||||
name: 'range',
|
||||
type: 'string',
|
||||
displayOptions: {
|
||||
show: {
|
||||
'/operation': ['fromFile'],
|
||||
},
|
||||
},
|
||||
default: '',
|
||||
description:
|
||||
'The range to read from the table. If set to a number it will be the starting row. If set to string it will be used as A1-style bounded range.',
|
||||
},
|
||||
{
|
||||
displayName: 'Sheet Name',
|
||||
name: 'sheetName',
|
||||
type: 'string',
|
||||
displayOptions: {
|
||||
show: {
|
||||
'/operation': ['fromFile'],
|
||||
},
|
||||
},
|
||||
default: 'Sheet',
|
||||
description:
|
||||
'Name of the sheet to read from in the spreadsheet (if supported). If not set, the first one gets chosen.',
|
||||
},
|
||||
{
|
||||
displayName: 'Sheet Name',
|
||||
name: 'sheetName',
|
||||
type: 'string',
|
||||
displayOptions: {
|
||||
show: {
|
||||
'/operation': ['toFile'],
|
||||
'/fileFormat': ['ods', 'xls', 'xlsx'],
|
||||
},
|
||||
},
|
||||
default: 'Sheet',
|
||||
description: 'Name of the sheet to create in the spreadsheet',
|
||||
},
|
||||
],
|
||||
},
|
||||
];
|
||||
@@ -0,0 +1,269 @@
|
||||
/* eslint-disable n8n-nodes-base/node-filename-against-convention */
|
||||
import type {
|
||||
IDataObject,
|
||||
IExecuteFunctions,
|
||||
INodeExecutionData,
|
||||
INodeType,
|
||||
INodeTypeBaseDescription,
|
||||
INodeTypeDescription,
|
||||
} from 'n8n-workflow';
|
||||
import { BINARY_ENCODING, NodeOperationError } from 'n8n-workflow';
|
||||
|
||||
import type {
|
||||
JSON2SheetOpts,
|
||||
ParsingOptions,
|
||||
Sheet2JSONOpts,
|
||||
WorkBook,
|
||||
WritingOptions,
|
||||
} from 'xlsx';
|
||||
import {
|
||||
read as xlsxRead,
|
||||
readFile as xlsxReadFile,
|
||||
utils as xlsxUtils,
|
||||
write as xlsxWrite,
|
||||
} from 'xlsx';
|
||||
|
||||
import {
|
||||
operationProperties,
|
||||
fromFileProperties,
|
||||
toFileProperties,
|
||||
optionsProperties,
|
||||
} from '../description';
|
||||
import { flattenObject } from '@utils/utilities';
|
||||
import { oldVersionNotice } from '@utils/descriptions';
|
||||
|
||||
export class SpreadsheetFileV1 implements INodeType {
|
||||
description: INodeTypeDescription;
|
||||
|
||||
constructor(baseDescription: INodeTypeBaseDescription) {
|
||||
this.description = {
|
||||
...baseDescription,
|
||||
version: 1,
|
||||
defaults: {
|
||||
name: 'Spreadsheet File',
|
||||
color: '#2244FF',
|
||||
},
|
||||
inputs: ['main'],
|
||||
outputs: ['main'],
|
||||
properties: [
|
||||
oldVersionNotice,
|
||||
...operationProperties,
|
||||
...fromFileProperties,
|
||||
...toFileProperties,
|
||||
...optionsProperties,
|
||||
],
|
||||
};
|
||||
}
|
||||
|
||||
async execute(this: IExecuteFunctions): Promise<INodeExecutionData[][]> {
|
||||
const items = this.getInputData();
|
||||
|
||||
const operation = this.getNodeParameter('operation', 0);
|
||||
|
||||
const newItems: INodeExecutionData[] = [];
|
||||
|
||||
if (operation === 'fromFile') {
|
||||
// Read data from spreadsheet file to workflow
|
||||
for (let i = 0; i < items.length; i++) {
|
||||
try {
|
||||
const binaryPropertyName = this.getNodeParameter('binaryPropertyName', i);
|
||||
const options = this.getNodeParameter('options', i, {});
|
||||
const binaryData = this.helpers.assertBinaryData(i, binaryPropertyName);
|
||||
|
||||
// Read the binary spreadsheet data
|
||||
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
|
||||
}
|
||||
|
||||
const sheetJson = xlsxUtils.sheet_to_json(workbook.Sheets[sheetName], sheetToJsonOptions);
|
||||
|
||||
// Check if data could be found in file
|
||||
if (sheetJson.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 sheetJson) {
|
||||
newItems.push({
|
||||
json: {
|
||||
row: rowData,
|
||||
},
|
||||
pairedItem: {
|
||||
item: i,
|
||||
},
|
||||
} as INodeExecutionData);
|
||||
}
|
||||
} else {
|
||||
for (const rowData of sheetJson) {
|
||||
newItems.push({
|
||||
json: rowData,
|
||||
pairedItem: {
|
||||
item: i,
|
||||
},
|
||||
} as INodeExecutionData);
|
||||
}
|
||||
}
|
||||
} catch (error) {
|
||||
if (this.continueOnFail()) {
|
||||
newItems.push({
|
||||
json: {
|
||||
error: error.message,
|
||||
},
|
||||
pairedItem: {
|
||||
item: i,
|
||||
},
|
||||
});
|
||||
continue;
|
||||
}
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
return [newItems];
|
||||
} else if (operation === 'toFile') {
|
||||
try {
|
||||
// Write the workflow data to spreadsheet file
|
||||
const binaryPropertyName = this.getNodeParameter('binaryPropertyName', 0);
|
||||
const fileFormat = this.getNodeParameter('fileFormat', 0) as string;
|
||||
const options = this.getNodeParameter('options', 0, {});
|
||||
const sheetToJsonOptions: JSON2SheetOpts = {};
|
||||
if (options.headerRow === false) {
|
||||
sheetToJsonOptions.skipHeader = true;
|
||||
}
|
||||
// Get the json data of the items and flatten it
|
||||
let item: INodeExecutionData;
|
||||
const itemData: IDataObject[] = [];
|
||||
for (let itemIndex = 0; itemIndex < items.length; itemIndex++) {
|
||||
item = items[itemIndex];
|
||||
itemData.push(flattenObject(item.json));
|
||||
}
|
||||
|
||||
const ws = xlsxUtils.json_to_sheet(itemData, sheetToJsonOptions);
|
||||
|
||||
const wopts: WritingOptions = {
|
||||
bookSST: false,
|
||||
type: 'buffer',
|
||||
};
|
||||
|
||||
if (fileFormat === 'csv') {
|
||||
wopts.bookType = 'csv';
|
||||
} else if (fileFormat === 'html') {
|
||||
wopts.bookType = 'html';
|
||||
} else if (fileFormat === 'rtf') {
|
||||
wopts.bookType = 'rtf';
|
||||
} else if (fileFormat === 'ods') {
|
||||
wopts.bookType = 'ods';
|
||||
if (options.compression) {
|
||||
wopts.compression = true;
|
||||
}
|
||||
} else if (fileFormat === 'xls') {
|
||||
wopts.bookType = 'xls';
|
||||
} else if (fileFormat === 'xlsx') {
|
||||
wopts.bookType = 'xlsx';
|
||||
if (options.compression) {
|
||||
wopts.compression = true;
|
||||
}
|
||||
}
|
||||
|
||||
// Convert the data in the correct format
|
||||
const sheetName = (options.sheetName as string) || 'Sheet';
|
||||
const wb: WorkBook = {
|
||||
SheetNames: [sheetName],
|
||||
Sheets: {
|
||||
[sheetName]: ws,
|
||||
},
|
||||
};
|
||||
const wbout: Buffer = xlsxWrite(wb, wopts);
|
||||
|
||||
// Create a new item with only the binary spreadsheet data
|
||||
const newItem: INodeExecutionData = {
|
||||
json: {},
|
||||
binary: {},
|
||||
pairedItem: {
|
||||
item: 0,
|
||||
},
|
||||
};
|
||||
|
||||
let fileName = `spreadsheet.${fileFormat}`;
|
||||
if (options.fileName !== undefined) {
|
||||
fileName = options.fileName as string;
|
||||
}
|
||||
|
||||
newItem.binary![binaryPropertyName] = await this.helpers.prepareBinaryData(wbout, fileName);
|
||||
|
||||
newItems.push(newItem);
|
||||
} catch (error) {
|
||||
if (this.continueOnFail()) {
|
||||
newItems.push({
|
||||
json: {
|
||||
error: error.message,
|
||||
},
|
||||
pairedItem: {
|
||||
item: 0,
|
||||
},
|
||||
});
|
||||
} else {
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
} else {
|
||||
if (this.continueOnFail()) {
|
||||
return [[{ json: { error: `The operation "${operation}" is not supported!` } }]];
|
||||
} else {
|
||||
throw new NodeOperationError(
|
||||
this.getNode(),
|
||||
`The operation "${operation}" is not supported!`,
|
||||
);
|
||||
}
|
||||
}
|
||||
return [newItems];
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,302 @@
|
||||
/* eslint-disable n8n-nodes-base/node-filename-against-convention */
|
||||
import { pipeline } from 'stream/promises';
|
||||
import type {
|
||||
IDataObject,
|
||||
IExecuteFunctions,
|
||||
INodeExecutionData,
|
||||
INodeType,
|
||||
INodeTypeBaseDescription,
|
||||
INodeTypeDescription,
|
||||
} from 'n8n-workflow';
|
||||
import { BINARY_ENCODING, NodeOperationError } from 'n8n-workflow';
|
||||
|
||||
import type {
|
||||
JSON2SheetOpts,
|
||||
Sheet2JSONOpts,
|
||||
WorkBook,
|
||||
WritingOptions,
|
||||
ParsingOptions,
|
||||
} from 'xlsx';
|
||||
|
||||
import {
|
||||
read as xlsxRead,
|
||||
readFile as xlsxReadFile,
|
||||
utils as xlsxUtils,
|
||||
write as xlsxWrite,
|
||||
} from 'xlsx';
|
||||
import { parse as createCSVParser } from 'csv-parse';
|
||||
|
||||
import {
|
||||
operationProperties,
|
||||
fromFileProperties,
|
||||
toFileProperties,
|
||||
optionsProperties,
|
||||
fromFileV2Properties,
|
||||
} from '../description';
|
||||
import { flattenObject } from '@utils/utilities';
|
||||
|
||||
export class SpreadsheetFileV2 implements INodeType {
|
||||
description: INodeTypeDescription;
|
||||
|
||||
constructor(baseDescription: INodeTypeBaseDescription) {
|
||||
this.description = {
|
||||
...baseDescription,
|
||||
version: 2,
|
||||
defaults: {
|
||||
name: 'Spreadsheet File',
|
||||
color: '#2244FF',
|
||||
},
|
||||
inputs: ['main'],
|
||||
outputs: ['main'],
|
||||
properties: [
|
||||
...operationProperties,
|
||||
...fromFileProperties,
|
||||
...fromFileV2Properties,
|
||||
...toFileProperties,
|
||||
...optionsProperties,
|
||||
],
|
||||
};
|
||||
}
|
||||
|
||||
async execute(this: IExecuteFunctions): Promise<INodeExecutionData[][]> {
|
||||
const items = this.getInputData();
|
||||
|
||||
const operation = this.getNodeParameter('operation', 0);
|
||||
|
||||
const newItems: INodeExecutionData[] = [];
|
||||
|
||||
if (operation === 'fromFile') {
|
||||
// Read data from spreadsheet file to workflow
|
||||
for (let i = 0; i < items.length; i++) {
|
||||
try {
|
||||
const options = this.getNodeParameter('options', i, {});
|
||||
let fileFormat = this.getNodeParameter('fileFormat', i, {});
|
||||
const binaryPropertyName = this.getNodeParameter('binaryPropertyName', i);
|
||||
const binaryData = this.helpers.assertBinaryData(i, binaryPropertyName);
|
||||
|
||||
let rows: unknown[] = [];
|
||||
|
||||
if (
|
||||
fileFormat === 'autodetect' &&
|
||||
(binaryData.mimeType === 'text/csv' ||
|
||||
(binaryData.mimeType === 'text/plain' && binaryData.fileExtension === 'csv'))
|
||||
) {
|
||||
fileFormat = 'csv';
|
||||
}
|
||||
|
||||
if (fileFormat === 'csv') {
|
||||
const parser = createCSVParser({
|
||||
columns: options.headerRow !== false,
|
||||
onRecord: (record) => {
|
||||
rows.push(record);
|
||||
},
|
||||
});
|
||||
if (binaryData.id) {
|
||||
const stream = this.helpers.getBinaryStream(binaryData.id);
|
||||
await pipeline(stream, parser);
|
||||
} else {
|
||||
parser.write(binaryData.data, BINARY_ENCODING);
|
||||
}
|
||||
} 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) {
|
||||
newItems.push({
|
||||
json: {
|
||||
row: rowData,
|
||||
},
|
||||
pairedItem: {
|
||||
item: i,
|
||||
},
|
||||
} as INodeExecutionData);
|
||||
}
|
||||
} else {
|
||||
for (const rowData of rows) {
|
||||
newItems.push({
|
||||
json: rowData,
|
||||
pairedItem: {
|
||||
item: i,
|
||||
},
|
||||
} as INodeExecutionData);
|
||||
}
|
||||
}
|
||||
} catch (error) {
|
||||
if (this.continueOnFail()) {
|
||||
newItems.push({
|
||||
json: {
|
||||
error: error.message,
|
||||
},
|
||||
pairedItem: {
|
||||
item: i,
|
||||
},
|
||||
});
|
||||
continue;
|
||||
}
|
||||
throw new NodeOperationError(this.getNode(), error, { itemIndex: i });
|
||||
}
|
||||
}
|
||||
|
||||
return [newItems];
|
||||
} else if (operation === 'toFile') {
|
||||
try {
|
||||
// Write the workflow data to spreadsheet file
|
||||
const binaryPropertyName = this.getNodeParameter('binaryPropertyName', 0);
|
||||
const fileFormat = this.getNodeParameter('fileFormat', 0) as string;
|
||||
const options = this.getNodeParameter('options', 0, {});
|
||||
const sheetToJsonOptions: JSON2SheetOpts = {};
|
||||
if (options.headerRow === false) {
|
||||
sheetToJsonOptions.skipHeader = true;
|
||||
}
|
||||
// Get the json data of the items and flatten it
|
||||
let item: INodeExecutionData;
|
||||
const itemData: IDataObject[] = [];
|
||||
for (let itemIndex = 0; itemIndex < items.length; itemIndex++) {
|
||||
item = items[itemIndex];
|
||||
itemData.push(flattenObject(item.json));
|
||||
}
|
||||
|
||||
const ws = xlsxUtils.json_to_sheet(itemData, sheetToJsonOptions);
|
||||
|
||||
const wopts: WritingOptions = {
|
||||
bookSST: false,
|
||||
type: 'buffer',
|
||||
};
|
||||
|
||||
if (fileFormat === 'csv') {
|
||||
wopts.bookType = 'csv';
|
||||
} else if (fileFormat === 'html') {
|
||||
wopts.bookType = 'html';
|
||||
} else if (fileFormat === 'rtf') {
|
||||
wopts.bookType = 'rtf';
|
||||
} else if (fileFormat === 'ods') {
|
||||
wopts.bookType = 'ods';
|
||||
if (options.compression) {
|
||||
wopts.compression = true;
|
||||
}
|
||||
} else if (fileFormat === 'xls') {
|
||||
wopts.bookType = 'xls';
|
||||
} else if (fileFormat === 'xlsx') {
|
||||
wopts.bookType = 'xlsx';
|
||||
if (options.compression) {
|
||||
wopts.compression = true;
|
||||
}
|
||||
}
|
||||
|
||||
// Convert the data in the correct format
|
||||
const sheetName = (options.sheetName as string) || 'Sheet';
|
||||
const wb: WorkBook = {
|
||||
SheetNames: [sheetName],
|
||||
Sheets: {
|
||||
[sheetName]: ws,
|
||||
},
|
||||
};
|
||||
const wbout: Buffer = xlsxWrite(wb, wopts);
|
||||
|
||||
// Create a new item with only the binary spreadsheet data
|
||||
const newItem: INodeExecutionData = {
|
||||
json: {},
|
||||
binary: {},
|
||||
pairedItem: {
|
||||
item: 0,
|
||||
},
|
||||
};
|
||||
|
||||
let fileName = `spreadsheet.${fileFormat}`;
|
||||
if (options.fileName !== undefined) {
|
||||
fileName = options.fileName as string;
|
||||
}
|
||||
|
||||
newItem.binary![binaryPropertyName] = await this.helpers.prepareBinaryData(wbout, fileName);
|
||||
|
||||
newItems.push(newItem);
|
||||
} catch (error) {
|
||||
if (this.continueOnFail()) {
|
||||
newItems.push({
|
||||
json: {
|
||||
error: error.message,
|
||||
},
|
||||
pairedItem: {
|
||||
item: 0,
|
||||
},
|
||||
});
|
||||
} else {
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
} else {
|
||||
if (this.continueOnFail()) {
|
||||
return [[{ json: { error: `The operation "${operation}" is not supported!` } }]];
|
||||
} else {
|
||||
throw new NodeOperationError(
|
||||
this.getNode(),
|
||||
`The operation "${operation}" is not supported!`,
|
||||
);
|
||||
}
|
||||
}
|
||||
return [newItems];
|
||||
}
|
||||
}
|
||||
@@ -822,6 +822,7 @@
|
||||
"cheerio": "1.0.0-rc.6",
|
||||
"chokidar": "3.5.2",
|
||||
"cron": "~1.7.2",
|
||||
"csv-parse": "^5.5.0",
|
||||
"currency-codes": "^2.1.0",
|
||||
"eventsource": "^2.0.2",
|
||||
"fast-glob": "^3.2.5",
|
||||
|
||||
@@ -264,3 +264,30 @@ export function getResolvables(expression: string) {
|
||||
|
||||
return resolvables;
|
||||
}
|
||||
|
||||
/**
|
||||
* Flattens an object with deep data
|
||||
*
|
||||
* @param {IDataObject} data The object to flatten
|
||||
*/
|
||||
export function flattenObject(data: IDataObject) {
|
||||
const returnData: IDataObject = {};
|
||||
for (const key1 of Object.keys(data)) {
|
||||
if (data[key1] !== null && typeof data[key1] === 'object') {
|
||||
if (data[key1] instanceof Date) {
|
||||
returnData[key1] = data[key1]?.toString();
|
||||
continue;
|
||||
}
|
||||
const flatObject = flattenObject(data[key1] as IDataObject);
|
||||
for (const key2 in flatObject) {
|
||||
if (flatObject[key2] === undefined) {
|
||||
continue;
|
||||
}
|
||||
returnData[`${key1}.${key2}`] = flatObject[key2];
|
||||
}
|
||||
} else {
|
||||
returnData[key1] = data[key1];
|
||||
}
|
||||
}
|
||||
return returnData;
|
||||
}
|
||||
|
||||
7
pnpm-lock.yaml
generated
7
pnpm-lock.yaml
generated
@@ -1039,6 +1039,9 @@ importers:
|
||||
cron:
|
||||
specifier: ~1.7.2
|
||||
version: 1.7.2
|
||||
csv-parse:
|
||||
specifier: ^5.5.0
|
||||
version: 5.5.0
|
||||
currency-codes:
|
||||
specifier: ^2.1.0
|
||||
version: 2.1.0
|
||||
@@ -10592,6 +10595,10 @@ packages:
|
||||
/csstype@3.1.1:
|
||||
resolution: {integrity: sha512-DJR/VvkAvSZW9bTouZue2sSxDwdTN92uHjqeKVm+0dAqdfNykRzQ95tay8aXMBAAPpUiq4Qcug2L7neoRh2Egw==}
|
||||
|
||||
/csv-parse@5.5.0:
|
||||
resolution: {integrity: sha512-RxruSK3M4XgzcD7Trm2wEN+SJ26ChIb903+IWxNOcB5q4jT2Cs+hFr6QP39J05EohshRFEvyzEBoZ/466S2sbw==}
|
||||
dev: false
|
||||
|
||||
/curlconverter@3.21.0(chokidar@3.5.2):
|
||||
resolution: {integrity: sha512-DXCnp1A/Xa69FujksUfdvWQFAnIn/C+4Wuv8t+UVdZkF/lY5bzj98GGKOGme7V/ckSHDLxE29Xp76sJ5Cpsp5A==}
|
||||
hasBin: true
|
||||
|
||||
Reference in New Issue
Block a user