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import * as fs from 'fs';
import { createReadStream, writeFile } from 'fs';
import OpenAI from 'openai';
import * as path from 'path';
import { promisify } from 'util';
import * as uuid from 'uuid';
import { filesDirectory, publicDirectory } from '../SocketData';
import { Method } from '../RouteManager';
import ApiManager, { Registration } from './ApiManager';
import axios from 'axios';
import { Chunk } from '../../client/views/nodes/ChatBox/types';
export enum Directory {
parsed_files = 'parsed_files',
images = 'images',
videos = 'videos',
pdfs = 'pdfs',
text = 'text',
pdf_thumbnails = 'pdf_thumbnails',
audio = 'audio',
csv = 'csv',
}
export function serverPathToFile(directory: Directory, filename: string) {
return path.normalize(`${filesDirectory}/${directory}/${filename}`);
}
export function pathToDirectory(directory: Directory) {
return path.normalize(`${filesDirectory}/${directory}`);
}
export function clientPathToFile(directory: Directory, filename: string) {
return `/files/${directory}/${filename}`;
}
const writeFileAsync = promisify(writeFile);
const readFileAsync = promisify(fs.readFile);
export default class AssistantManager extends ApiManager {
protected initialize(register: Registration): void {
const openai = new OpenAI({
apiKey: process.env._CLIENT_OPENAI_KEY, // Use client key so don't have to set key seperately for client and server.
dangerouslyAllowBrowser: true,
});
register({
method: Method.POST,
subscription: '/getWikipediaSummary',
secureHandler: async ({ req, res }) => {
const { title } = req.body;
try {
const response = await axios.get('https://en.wikipedia.org/w/api.php', {
params: {
action: 'query',
list: 'search',
srsearch: title,
format: 'json',
},
});
const summary = response.data.query.search[0].snippet;
if (!summary || summary.length === 0 || summary === '' || summary === ' ') {
res.send({ text: 'No article found with that title.' });
} else {
res.send({ text: summary });
}
} catch (error: any) {
console.error('Error retrieving article summary from Wikipedia:', error);
res.status(500).send({ error: 'Error retrieving article summary from Wikipedia.', details: error.message });
}
},
});
register({
method: Method.POST,
subscription: '/createDocument',
secureHandler: async ({ req, res }) => {
const { file_path } = req.body;
const public_path = path.join(publicDirectory, file_path);
const file_name = path.basename(file_path);
try {
// Read file data and convert to base64
const file_data = fs.readFileSync(public_path, { encoding: 'base64' });
const response = await axios.post(
'http://localhost:8080/createDocument',
{
file_data,
file_name,
},
{
headers: {
'Content-Type': 'application/json',
},
}
);
const jobId = response.data.job_id;
// Poll for results
let result;
while (!result) {
await new Promise(resolve => setTimeout(resolve, 5000)); // Wait for 1 second
const resultResponse = await axios.get(`http://localhost:8080/getResult/${jobId}`);
if (resultResponse.status === 200) {
result = resultResponse.data;
}
}
if (result.chunks && Array.isArray(result.chunks)) {
for (const chunk of result.chunks) {
if (chunk.metadata && (chunk.metadata.type === 'image' || chunk.metadata.type === 'table')) {
let files_directory = '/files/chunk_images/';
const directory = path.join(publicDirectory, files_directory);
if (!fs.existsSync(directory)) {
fs.mkdirSync(directory);
}
const fileName = path.basename(chunk.metadata.file_path);
const filePath = path.join(directory, fileName);
// Check if base64_data exists
if (chunk.metadata.base64_data) {
// Decode Base64 and save as file
const buffer = Buffer.from(chunk.metadata.base64_data, 'base64');
await fs.promises.writeFile(filePath, buffer);
// Update the file path in the chunk
chunk.metadata.file_path = path.join(files_directory, fileName);
chunk.metadata.base64_data = undefined;
} else {
console.warn(`No base64_data found for chunk: ${fileName}`);
}
}
}
} else {
console.warn("Result does not contain an iterable 'chunks' property");
}
res.send({ document_json: result });
} catch (error: any) {
console.error('Error communicating with chatbot:', error);
res.status(500).send({ error: 'Failed to communicate with the chatbot', details: error.message });
}
},
});
register({
method: Method.POST,
subscription: '/formatChunks',
secureHandler: async ({ req, res }) => {
const { relevantChunks } = req.body;
const content: { type: string; text?: string; image_url?: { url: string } }[] = [{ type: 'text', text: '<chunks>' }];
for (const chunk of relevantChunks) {
content.push({
type: 'text',
text: `<chunk chunk_id=${chunk.id} chunk_type=${chunk.metadata.type === 'image' || chunk.metadata.type === 'table' ? 'image' : 'text'}>`,
});
if (chunk.metadata.type === 'image' || chunk.metadata.type === 'table') {
try {
const filePath = serverPathToFile(Directory.parsed_files, chunk.metadata.file_path);
const imageBuffer = await readFileAsync(filePath);
const base64Image = imageBuffer.toString('base64');
if (base64Image) {
content.push({
type: 'image_url',
image_url: {
url: `data:image/jpeg;base64,${base64Image}`,
},
});
} else {
console.log(`Failed to encode image for chunk ${chunk.id}`);
}
} catch (error) {
console.error(`Error reading image file for chunk ${chunk.id}:`, error);
}
}
content.push({ type: 'text', text: `${chunk.metadata.text}\n</chunk>\n` });
}
content.push({ type: 'text', text: '</chunks>' });
res.send({ formattedChunks: content });
},
});
}
}
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