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144 lines
3.7 KiB
TypeScript
144 lines
3.7 KiB
TypeScript
/* eslint-disable n8n-nodes-base/node-filename-against-convention */
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import type {
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IExecuteFunctions,
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INodeExecutionData,
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INodeType,
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INodeTypeDescription,
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IPairedItemData,
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} from 'n8n-workflow';
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import { deepCopy } from 'n8n-workflow';
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export class SplitInBatchesV1 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: 'Split data into batches and iterate over each batch',
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defaults: {
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name: 'Split In Batches',
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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:
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'You may not need this node — n8n nodes automatically run once for each input item. <a href="https://docs.n8n.io/getting-started/key-concepts/looping.html#using-loops-in-n8n" target="_blank">More info</a>',
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name: 'splitInBatchesNotice',
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type: 'notice',
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default: '',
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},
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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:
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'Whether 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, {});
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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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const sourceData = this.getInputSourceData();
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nodeContext.currentRunIndex = 0;
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nodeContext.maxRunIndex = Math.ceil(items.length / batchSize);
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nodeContext.sourceData = deepCopy(sourceData);
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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(
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returnItems,
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(nodeContext.items as INodeExecutionData[]).splice(0, batchSize),
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);
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const addSourceOverwrite = (pairedItem: IPairedItemData | number): IPairedItemData => {
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if (typeof pairedItem === 'number') {
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return {
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item: pairedItem,
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sourceOverwrite: nodeContext.sourceData,
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};
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}
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return {
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...pairedItem,
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sourceOverwrite: nodeContext.sourceData,
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};
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};
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function getPairedItemInformation(
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item: INodeExecutionData,
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): IPairedItemData | IPairedItemData[] {
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if (item.pairedItem === undefined) {
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return {
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item: 0,
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sourceOverwrite: nodeContext.sourceData,
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};
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}
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if (Array.isArray(item.pairedItem)) {
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return item.pairedItem.map(addSourceOverwrite);
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}
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return addSourceOverwrite(item.pairedItem);
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}
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returnItems.map((item) => {
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item.pairedItem = getPairedItemInformation(item);
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});
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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 [returnItems];
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}
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}
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