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https://github.com/n8n-io/n8n.git
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a77e8dd79e
Signed-off-by: Oleg Ivaniv <me@olegivaniv.com> Co-authored-by: Oleg Ivaniv <me@olegivaniv.com>
195 lines
4.8 KiB
TypeScript
195 lines
4.8 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 { getConnectionHintNoticeField, 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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export class DocumentBinaryInputLoader implements INodeType {
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description: INodeTypeDescription = {
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// This node is deprecated and will be removed in the future.
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// The functionality was merged with the `DocumentJSONInputLoader` to `DocumentDefaultDataLoader`
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hidden: true,
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displayName: 'Binary Input Loader',
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name: 'documentBinaryInputLoader',
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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: 'Use binary data from a previous step in the workflow',
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defaults: {
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name: 'Binary Input 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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getConnectionHintNoticeField([NodeConnectionType.AiVectorStore]),
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{
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displayName: 'Loader Type',
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name: 'loader',
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type: 'options',
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default: 'jsonLoader',
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required: true,
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options: [
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{
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name: 'CSV Loader',
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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 Loader',
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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 Loader',
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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 Loader',
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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 Loader',
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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 Loader',
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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: 'Binary Data Key',
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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: 'Name of the binary property from which to read the file buffer',
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},
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// PDF Only Fields
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{
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displayName: 'Split Pages',
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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'],
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},
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},
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},
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// CSV Only Fields
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{
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displayName: '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'],
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},
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},
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},
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{
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displayName: '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'],
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},
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},
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},
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// JSON Only Fields
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{
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displayName: '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'],
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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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...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): Promise<SupplyData> {
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this.logger.verbose('Supply Data for Binary Input Loader');
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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', 0) as string;
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const processor = new N8nBinaryLoader(this, undefined, binaryDataKey, 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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