mirror of
https://github.com/ItzCrazyKns/Perplexica.git
synced 2025-05-02 17:22:32 +00:00
135 lines
4.1 KiB
TypeScript
135 lines
4.1 KiB
TypeScript
import { NextResponse } from 'next/server';
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import fs from 'fs';
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import path from 'path';
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import crypto from 'crypto';
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import { getAvailableEmbeddingModelProviders } from '@/lib/providers';
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import { PDFLoader } from '@langchain/community/document_loaders/fs/pdf';
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import { DocxLoader } from '@langchain/community/document_loaders/fs/docx';
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import { RecursiveCharacterTextSplitter } from '@langchain/textsplitters';
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import { Document } from 'langchain/document';
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interface FileRes {
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fileName: string;
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fileExtension: string;
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fileId: string;
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}
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const uploadDir = path.join(process.cwd(), 'uploads');
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if (!fs.existsSync(uploadDir)) {
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fs.mkdirSync(uploadDir, { recursive: true });
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}
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const splitter = new RecursiveCharacterTextSplitter({
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chunkSize: 500,
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chunkOverlap: 100,
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});
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export async function POST(req: Request) {
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try {
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const formData = await req.formData();
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const files = formData.getAll('files') as File[];
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const embedding_model = formData.get('embedding_model');
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const embedding_model_provider = formData.get('embedding_model_provider');
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if (!embedding_model || !embedding_model_provider) {
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return NextResponse.json(
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{ message: 'Missing embedding model or provider' },
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{ status: 400 },
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);
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}
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const embeddingModels = await getAvailableEmbeddingModelProviders();
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const provider =
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embedding_model_provider ?? Object.keys(embeddingModels)[0];
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const embeddingModel =
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embedding_model ?? Object.keys(embeddingModels[provider as string])[0];
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let embeddingsModel =
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embeddingModels[provider as string]?.[embeddingModel as string]?.model;
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if (!embeddingsModel) {
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return NextResponse.json(
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{ message: 'Invalid embedding model selected' },
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{ status: 400 },
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);
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}
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const processedFiles: FileRes[] = [];
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await Promise.all(
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files.map(async (file: any) => {
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const fileExtension = file.name.split('.').pop();
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if (!['pdf', 'docx', 'txt'].includes(fileExtension!)) {
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return NextResponse.json(
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{ message: 'File type not supported' },
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{ status: 400 },
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);
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}
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const uniqueFileName = `${crypto.randomBytes(16).toString('hex')}.${fileExtension}`;
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const filePath = path.join(uploadDir, uniqueFileName);
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const buffer = Buffer.from(await file.arrayBuffer());
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fs.writeFileSync(filePath, new Uint8Array(buffer));
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let docs: any[] = [];
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if (fileExtension === 'pdf') {
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const loader = new PDFLoader(filePath);
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docs = await loader.load();
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} else if (fileExtension === 'docx') {
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const loader = new DocxLoader(filePath);
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docs = await loader.load();
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} else if (fileExtension === 'txt') {
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const text = fs.readFileSync(filePath, 'utf-8');
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docs = [
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new Document({ pageContent: text, metadata: { title: file.name } }),
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];
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}
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const splitted = await splitter.splitDocuments(docs);
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const extractedDataPath = filePath.replace(/\.\w+$/, '-extracted.json');
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fs.writeFileSync(
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extractedDataPath,
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JSON.stringify({
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title: file.name,
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contents: splitted.map((doc) => doc.pageContent),
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}),
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);
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const embeddings = await embeddingsModel.embedDocuments(
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splitted.map((doc) => doc.pageContent),
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);
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const embeddingsDataPath = filePath.replace(
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/\.\w+$/,
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'-embeddings.json',
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);
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fs.writeFileSync(
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embeddingsDataPath,
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JSON.stringify({
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title: file.name,
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embeddings,
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}),
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);
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processedFiles.push({
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fileName: file.name,
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fileExtension: fileExtension,
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fileId: uniqueFileName.replace(/\.\w+$/, ''),
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});
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}),
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);
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return NextResponse.json({
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files: processedFiles,
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});
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} catch (error) {
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console.error('Error uploading file:', error);
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return NextResponse.json(
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{ message: 'An error has occurred.' },
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{ status: 500 },
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);
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}
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}
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