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95 lines
2.5 KiB
TypeScript
95 lines
2.5 KiB
TypeScript
import { IExecuteFunctions } from 'n8n-core';
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import {
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IDataObject,
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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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export class SplitInBatches implements INodeType {
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description: INodeTypeDescription = {
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displayName: 'Split In Batches',
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name: 'splitInBatches',
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icon: 'fa:th-large',
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group: ['organization'],
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version: 1,
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description: 'Saves the originally incoming data and with each iteration it returns a predefined amount of them.',
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defaults: {
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name: 'SplitInBatches',
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color: '#007755',
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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: 'Batch Size',
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name: 'batchSize',
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type: 'number',
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typeOptions: {
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minValue: 1,
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},
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default: 10,
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description: 'The number of items to return with each call.',
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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: 'Reset',
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name: 'reset',
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type: 'boolean',
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default: false,
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description: 'If set to true, the node will be reset and so with the current input-data newly initialized.',
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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[][] | null> {
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// Get the input data and create a new array so that we can remove
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// items without a problem
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const items = this.getInputData().slice();
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const nodeContext = this.getContext('node');
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const batchSize = this.getNodeParameter('batchSize', 0) as number;
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const returnItems: INodeExecutionData[] = [];
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const options = this.getNodeParameter('options', 0, {}) as IDataObject;
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if (nodeContext.items === undefined || options.reset === true) {
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// Is the first time the node runs
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nodeContext.currentRunIndex = 0;
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nodeContext.maxRunIndex = Math.ceil(items.length / batchSize);
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// Get the items which should be returned
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returnItems.push.apply(returnItems, items.splice(0, batchSize));
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// Set the other items to be saved in the context to return at later runs
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nodeContext.items = items;
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} else {
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// The node has been called before. So return the next batch of items.
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nodeContext.currentRunIndex += 1;
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returnItems.push.apply(returnItems, nodeContext.items.splice(0, batchSize));
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}
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nodeContext.noItemsLeft = nodeContext.items.length === 0;
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if (returnItems.length === 0) {
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// No data left to return so stop execution of the branch
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return null;
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}
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return this.prepareOutputData(returnItems);
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}
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}
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