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73 lines
2.1 KiB
TypeScript
73 lines
2.1 KiB
TypeScript
import { RecursiveCharacterTextSplitter } from '@langchain/textsplitters';
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import type { ISupplyDataFunctions } from 'n8n-workflow';
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import { NodeConnectionTypes } from 'n8n-workflow';
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import { DocumentDefaultDataLoader } from '../DocumentDefaultDataLoader.node';
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jest.mock('@langchain/textsplitters', () => ({
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RecursiveCharacterTextSplitter: jest.fn().mockImplementation(() => ({
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splitDocuments: jest.fn(
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async (docs: Array<Record<string, unknown>>): Promise<Array<Record<string, unknown>>> =>
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docs.map((doc) => ({ ...doc, split: true })),
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),
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})),
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}));
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describe('DocumentDefaultDataLoader', () => {
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let loader: DocumentDefaultDataLoader;
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beforeEach(() => {
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loader = new DocumentDefaultDataLoader();
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jest.clearAllMocks();
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});
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it('should supply data with recursive char text splitter', async () => {
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const context = {
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getNode: jest.fn(() => ({ typeVersion: 1.1 })),
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getNodeParameter: jest.fn().mockImplementation((paramName, _itemIndex) => {
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switch (paramName) {
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case 'dataType':
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return 'json';
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case 'textSplittingMode':
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return 'simple';
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case 'binaryDataKey':
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return 'data';
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default:
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return;
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}
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}),
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} as unknown as ISupplyDataFunctions;
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await loader.supplyData.call(context, 0);
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expect(RecursiveCharacterTextSplitter).toHaveBeenCalledWith({
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chunkSize: 1000,
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chunkOverlap: 200,
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});
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});
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it('should supply data with custom text splitter', async () => {
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const customSplitter = { splitDocuments: jest.fn(async (docs) => docs) };
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const context = {
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getNode: jest.fn(() => ({ typeVersion: 1.1 })),
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getNodeParameter: jest.fn().mockImplementation((paramName, _itemIndex) => {
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switch (paramName) {
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case 'dataType':
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return 'json';
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case 'textSplittingMode':
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return 'custom';
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case 'binaryDataKey':
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return 'data';
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default:
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return;
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}
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}),
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getInputConnectionData: jest.fn(async () => customSplitter),
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} as unknown as ISupplyDataFunctions;
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await loader.supplyData.call(context, 0);
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expect(context.getInputConnectionData).toHaveBeenCalledWith(
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NodeConnectionTypes.AiTextSplitter,
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0,
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);
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});
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});
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