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import { IExecuteFunctions } from 'n8n-core' ;
import {
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IDataObject ,
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INodeExecutionData ,
INodeType ,
INodeTypeDescription ,
} from 'n8n-workflow' ;
export class SplitInBatches implements INodeType {
description : INodeTypeDescription = {
displayName : 'Split In Batches' ,
name : 'splitInBatches' ,
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icon : 'fa:th-large' ,
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group : [ 'organization' ] ,
version : 1 ,
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description : 'Split data into batches and iterate over each batch' ,
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defaults : {
name : 'SplitInBatches' ,
color : '#007755' ,
} ,
inputs : [ 'main' ] ,
outputs : [ 'main' ] ,
properties : [
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{
displayName : '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>' ,
name : 'splitInBatchesNotice' ,
type : 'notice' ,
default : '' ,
} ,
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{
displayName : 'Batch Size' ,
name : 'batchSize' ,
type : 'number' ,
typeOptions : {
minValue : 1 ,
} ,
default : 10 ,
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description : 'The number of items to return with each call' ,
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} ,
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{
displayName : 'Options' ,
name : 'options' ,
type : 'collection' ,
placeholder : 'Add Option' ,
default : { } ,
options : [
{
displayName : 'Reset' ,
name : 'reset' ,
type : 'boolean' ,
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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] ,
} ;
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
// items without a problem
const items = this . getInputData ( ) . slice ( ) ;
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const nodeContext = this . getContext ( 'node' ) ;
const batchSize = this . getNodeParameter ( 'batchSize' , 0 ) as number ;
const returnItems : INodeExecutionData [ ] = [ ] ;
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const options = this . getNodeParameter ( 'options' , 0 , { } ) as IDataObject ;
if ( nodeContext . items === undefined || options . reset === true ) {
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// Is the first time the node runs
nodeContext . currentRunIndex = 0 ;
nodeContext . maxRunIndex = Math . ceil ( items . length / batchSize ) ;
// Get the items which should be returned
returnItems . push . apply ( returnItems , items . splice ( 0 , batchSize ) ) ;
// Set the other items to be saved in the context to return at later runs
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.
nodeContext . currentRunIndex += 1 ;
returnItems . push . apply ( returnItems , nodeContext . items . splice ( 0 , batchSize ) ) ;
}
nodeContext . noItemsLeft = nodeContext . items . length === 0 ;
if ( returnItems . length === 0 ) {
// No data left to return so stop execution of the branch
return null ;
}
return this . prepareOutputData ( returnItems ) ;
}
}