n8n/packages/@n8n/nodes-langchain/nodes/document_loaders/DocumentBinaryInputLoader/DocumentBinaryInputLoader.node.ts

195 lines
4.8 KiB
TypeScript

/* eslint-disable n8n-nodes-base/node-dirname-against-convention */
import {
NodeConnectionType,
type IExecuteFunctions,
type INodeType,
type INodeTypeDescription,
type SupplyData,
} from 'n8n-workflow';
import type { TextSplitter } from 'langchain/text_splitter';
import { logWrapper } from '../../../utils/logWrapper';
import { N8nBinaryLoader } from '../../../utils/N8nBinaryLoader';
import { getConnectionHintNoticeField, metadataFilterField } from '../../../utils/sharedFields';
// Dependencies needed underneath the hood for the loaders. We add them
// here only to track where what dependency is sued
// import 'd3-dsv'; // for csv
import 'mammoth'; // for docx
import 'epub2'; // for epub
import 'pdf-parse'; // for pdf
export class DocumentBinaryInputLoader implements INodeType {
description: INodeTypeDescription = {
// This node is deprecated and will be removed in the future.
// The functionality was merged with the `DocumentJSONInputLoader` to `DocumentDefaultDataLoader`
hidden: true,
displayName: 'Binary Input Loader',
name: 'documentBinaryInputLoader',
icon: 'file:binary.svg',
group: ['transform'],
version: 1,
description: 'Use binary data from a previous step in the workflow',
defaults: {
name: 'Binary Input Loader',
},
codex: {
categories: ['AI'],
subcategories: {
AI: ['Document Loaders'],
},
resources: {
primaryDocumentation: [
{
url: 'https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.documentdefaultdataloader/',
},
],
},
},
// eslint-disable-next-line n8n-nodes-base/node-class-description-inputs-wrong-regular-node
inputs: [
{
displayName: 'Text Splitter',
maxConnections: 1,
type: NodeConnectionType.AiTextSplitter,
required: true,
},
],
// eslint-disable-next-line n8n-nodes-base/node-class-description-outputs-wrong
outputs: [NodeConnectionType.AiDocument],
outputNames: ['Document'],
properties: [
getConnectionHintNoticeField([NodeConnectionType.AiVectorStore]),
{
displayName: 'Loader Type',
name: 'loader',
type: 'options',
default: 'jsonLoader',
required: true,
options: [
{
name: 'CSV Loader',
value: 'csvLoader',
description: 'Load CSV files',
},
{
name: 'Docx Loader',
value: 'docxLoader',
description: 'Load Docx documents',
},
{
name: 'EPub Loader',
value: 'epubLoader',
description: 'Load EPub files',
},
{
name: 'JSON Loader',
value: 'jsonLoader',
description: 'Load JSON files',
},
{
name: 'PDF Loader',
value: 'pdfLoader',
description: 'Load PDF documents',
},
{
name: 'Text Loader',
value: 'textLoader',
description: 'Load plain text files',
},
],
},
{
displayName: 'Binary Data Key',
name: 'binaryDataKey',
type: 'string',
default: 'data',
required: true,
description: 'Name of the binary property from which to read the file buffer',
},
// PDF Only Fields
{
displayName: 'Split Pages',
name: 'splitPages',
type: 'boolean',
default: true,
displayOptions: {
show: {
loader: ['pdfLoader'],
},
},
},
// CSV Only Fields
{
displayName: 'Column',
name: 'column',
type: 'string',
default: '',
description: 'Column to extract from CSV',
displayOptions: {
show: {
loader: ['csvLoader'],
},
},
},
{
displayName: 'Separator',
name: 'separator',
type: 'string',
description: 'Separator to use for CSV',
default: ',',
displayOptions: {
show: {
loader: ['csvLoader'],
},
},
},
// JSON Only Fields
{
displayName: 'Pointers',
name: 'pointers',
type: 'string',
default: '',
description: 'Pointers to extract from JSON, e.g. "/text" or "/text, /meta/title"',
displayOptions: {
show: {
loader: ['jsonLoader'],
},
},
},
{
displayName: 'Options',
name: 'options',
type: 'collection',
placeholder: 'Add Option',
default: {},
options: [
{
...metadataFilterField,
displayName: 'Metadata',
description:
'Metadata to add to each document. Could be used for filtering during retrieval',
placeholder: 'Add property',
},
],
},
],
};
async supplyData(this: IExecuteFunctions): Promise<SupplyData> {
this.logger.verbose('Supply Data for Binary Input Loader');
const textSplitter = (await this.getInputConnectionData(
NodeConnectionType.AiTextSplitter,
0,
)) as TextSplitter | undefined;
const binaryDataKey = this.getNodeParameter('binaryDataKey', 0) as string;
const processor = new N8nBinaryLoader(this, undefined, binaryDataKey, textSplitter);
return {
response: logWrapper(processor, this),
};
}
}