mirror of
https://github.com/n8n-io/n8n.git
synced 2024-12-28 22:19:41 -08:00
df783151b8
Signed-off-by: Oleg Ivaniv <me@olegivaniv.com>
304 lines
7.3 KiB
TypeScript
304 lines
7.3 KiB
TypeScript
/* eslint-disable n8n-nodes-base/node-dirname-against-convention */
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import {
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NodeConnectionType,
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type IExecuteFunctions,
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type INodeType,
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type INodeTypeDescription,
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type SupplyData,
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} from 'n8n-workflow';
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import type { TextSplitter } from '@langchain/textsplitters';
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import { logWrapper } from '../../../utils/logWrapper';
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import { N8nBinaryLoader } from '../../../utils/N8nBinaryLoader';
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import { metadataFilterField } from '../../../utils/sharedFields';
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// Dependencies needed underneath the hood for the loaders. We add them
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// here only to track where what dependency is sued
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// import 'd3-dsv'; // for csv
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import 'mammoth'; // for docx
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import 'epub2'; // for epub
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import 'pdf-parse'; // for pdf
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import { N8nJsonLoader } from '../../../utils/N8nJsonLoader';
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export class DocumentDefaultDataLoader implements INodeType {
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description: INodeTypeDescription = {
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displayName: 'Default Data Loader',
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name: 'documentDefaultDataLoader',
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icon: 'file:binary.svg',
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group: ['transform'],
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version: 1,
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description: 'Load data from previous step in the workflow',
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defaults: {
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name: 'Default Data Loader',
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},
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codex: {
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categories: ['AI'],
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subcategories: {
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AI: ['Document Loaders'],
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},
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resources: {
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primaryDocumentation: [
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{
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url: 'https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.documentdefaultdataloader/',
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},
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],
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},
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},
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// eslint-disable-next-line n8n-nodes-base/node-class-description-inputs-wrong-regular-node
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inputs: [
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{
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displayName: 'Text Splitter',
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maxConnections: 1,
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type: NodeConnectionType.AiTextSplitter,
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required: true,
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},
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],
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// eslint-disable-next-line n8n-nodes-base/node-class-description-outputs-wrong
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outputs: [NodeConnectionType.AiDocument],
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outputNames: ['Document'],
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properties: [
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{
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displayName:
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'This will load data from a previous step in the workflow. <a href="/templates/1962" target="_blank">Example</a>',
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name: 'notice',
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type: 'notice',
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default: '',
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},
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{
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displayName: 'Type of Data',
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name: 'dataType',
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type: 'options',
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default: 'json',
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required: true,
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noDataExpression: true,
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options: [
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{
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name: 'JSON',
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value: 'json',
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description: 'Process JSON data from previous step in the workflow',
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},
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{
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name: 'Binary',
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value: 'binary',
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description: 'Process binary data from previous step in the workflow',
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},
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],
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},
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{
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displayName: 'Mode',
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name: 'jsonMode',
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type: 'options',
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default: 'allInputData',
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required: true,
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displayOptions: {
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show: {
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dataType: ['json'],
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},
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},
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options: [
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{
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name: 'Load All Input Data',
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value: 'allInputData',
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description: 'Use all JSON data that flows into the parent agent or chain',
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},
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{
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name: 'Load Specific Data',
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value: 'expressionData',
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description:
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'Load a subset of data, and/or data from any previous step in the workflow',
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},
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],
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},
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{
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displayName: 'Mode',
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name: 'binaryMode',
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type: 'options',
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default: 'allInputData',
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required: true,
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displayOptions: {
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show: {
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dataType: ['binary'],
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},
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},
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options: [
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{
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name: 'Load All Input Data',
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value: 'allInputData',
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description: 'Use all Binary data that flows into the parent agent or chain',
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},
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{
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name: 'Load Specific Data',
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value: 'specificField',
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description: 'Load data from a specific field in the parent agent or chain',
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},
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],
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},
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{
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displayName: 'Data Format',
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name: 'loader',
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type: 'options',
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default: 'auto',
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required: true,
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displayOptions: {
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show: {
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dataType: ['binary'],
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},
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},
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options: [
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{
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name: 'Automatically Detect by Mime Type',
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value: 'auto',
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description: 'Uses the mime type to detect the format',
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},
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{
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name: 'CSV',
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value: 'csvLoader',
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description: 'Load CSV files',
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},
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{
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name: 'Docx',
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value: 'docxLoader',
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description: 'Load Docx documents',
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},
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{
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name: 'EPub',
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value: 'epubLoader',
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description: 'Load EPub files',
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},
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{
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name: 'JSON',
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value: 'jsonLoader',
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description: 'Load JSON files',
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},
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{
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name: 'PDF',
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value: 'pdfLoader',
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description: 'Load PDF documents',
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},
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{
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name: 'Text',
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value: 'textLoader',
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description: 'Load plain text files',
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},
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],
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},
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{
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displayName: 'Data',
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name: 'jsonData',
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type: 'string',
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typeOptions: {
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rows: 6,
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},
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default: '',
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required: true,
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description: 'Drag and drop fields from the input pane, or use an expression',
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displayOptions: {
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show: {
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dataType: ['json'],
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jsonMode: ['expressionData'],
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},
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},
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},
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{
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displayName: 'Input Data Field Name',
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name: 'binaryDataKey',
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type: 'string',
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default: 'data',
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required: true,
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description:
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'The name of the field in the agent or chain’s input that contains the binary file to be processed',
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displayOptions: {
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show: {
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dataType: ['binary'],
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},
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hide: {
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binaryMode: ['allInputData'],
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},
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},
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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: 'JSON Pointers',
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name: 'pointers',
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type: 'string',
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default: '',
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description: 'Pointers to extract from JSON, e.g. "/text" or "/text, /meta/title"',
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displayOptions: {
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show: {
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'/loader': ['jsonLoader', 'auto'],
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},
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},
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},
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{
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displayName: 'CSV Separator',
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name: 'separator',
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type: 'string',
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description: 'Separator to use for CSV',
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default: ',',
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displayOptions: {
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show: {
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'/loader': ['csvLoader', 'auto'],
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},
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},
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},
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{
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displayName: 'CSV Column',
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name: 'column',
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type: 'string',
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default: '',
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description: 'Column to extract from CSV',
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displayOptions: {
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show: {
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'/loader': ['csvLoader', 'auto'],
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},
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},
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},
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{
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displayName: 'Split Pages in PDF',
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description: 'Whether to split PDF pages into separate documents',
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name: 'splitPages',
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type: 'boolean',
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default: true,
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displayOptions: {
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show: {
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'/loader': ['pdfLoader', 'auto'],
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},
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},
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},
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{
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...metadataFilterField,
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displayName: 'Metadata',
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description:
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'Metadata to add to each document. Could be used for filtering during retrieval',
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placeholder: 'Add property',
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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 supplyData(this: IExecuteFunctions, itemIndex: number): Promise<SupplyData> {
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const dataType = this.getNodeParameter('dataType', itemIndex, 'json') as 'json' | 'binary';
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const textSplitter = (await this.getInputConnectionData(
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NodeConnectionType.AiTextSplitter,
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0,
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)) as TextSplitter | undefined;
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const binaryDataKey = this.getNodeParameter('binaryDataKey', itemIndex, '') as string;
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const processor =
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dataType === 'binary'
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? new N8nBinaryLoader(this, 'options.', binaryDataKey, textSplitter)
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: new N8nJsonLoader(this, 'options.', textSplitter);
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return {
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response: logWrapper(processor, this),
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};
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}
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}
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