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-rw-r--r--src/server/ApiManagers/AssistantManager.ts204
1 files changed, 132 insertions, 72 deletions
diff --git a/src/server/ApiManagers/AssistantManager.ts b/src/server/ApiManagers/AssistantManager.ts
index b42314e41..36468157a 100644
--- a/src/server/ApiManagers/AssistantManager.ts
+++ b/src/server/ApiManagers/AssistantManager.ts
@@ -7,6 +7,8 @@ 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',
@@ -36,95 +38,153 @@ const readFileAsync = promisify(fs.readFile);
export default class AssistantManager extends ApiManager {
protected initialize(register: Registration): void {
- const openai = new OpenAI({ apiKey: process.env.OPENAI_KEY, dangerouslyAllowBrowser: true });
+ 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: '/uploadPDFToVectorStore',
+ subscription: '/getWikipediaSummary',
secureHandler: async ({ req, res }) => {
- const { urls, threadID, assistantID, vector_store_id } = req.body;
-
- const csvFilesIds: string[] = [];
- const otherFileIds: string[] = [];
- const allFileIds: string[] = [];
-
- const fileProcesses = urls.map(async (source: string) => {
- const fullPath = path.join(publicDirectory, source);
- const fileData = await openai.files.create({ file: createReadStream(fullPath), purpose: 'assistants' });
- allFileIds.push(fileData.id);
- if (source.endsWith('.csv')) {
- console.log(source);
- csvFilesIds.push(fileData.id);
- } else {
- openai.beta.vectorStores.files.create(vector_store_id, { file_id: fileData.id });
- otherFileIds.push(fileData.id);
- }
- });
+ const { title } = req.body;
try {
- await Promise.all(fileProcesses).then(() => {
- res.send({ vector_store_id: vector_store_id, openai_file_ids: allFileIds });
+ const response = await axios.get('https://en.wikipedia.org/w/api.php', {
+ params: {
+ action: 'query',
+ list: 'search',
+ srsearch: title,
+ format: 'json',
+ },
});
- } catch (error) {
- res.status(500).send({ error: 'Failed to process files' + error });
+ 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: '/downloadFileFromOpenAI',
+ subscription: '/createDocument',
secureHandler: async ({ req, res }) => {
- const { file_id, file_name } = req.body;
- //let files_directory: string;
- let files_directory = '/files/openAIFiles/';
- switch (file_name.split('.').pop()) {
- case 'pdf':
- files_directory = '/files/pdfs/';
- break;
- case 'csv':
- files_directory = '/files/csv/';
- break;
- case 'png':
- case 'jpg':
- case 'jpeg':
- files_directory = '/files/images/';
- break;
- default:
- break;
- }
+ 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);
- const directory = path.join(publicDirectory, files_directory);
+ // 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: ${fileName}`);
+ }
+ }
+ }
+ } else {
+ console.warn("Result does not contain an iterable 'chunks' property");
+ }
- if (!fs.existsSync(directory)) {
- fs.mkdirSync(directory);
+ res.send({ document_json: result });
+ } catch (error: any) {
+ console.error('Error communicating with chatbot:', error);
+ res.status(500).send({ error: 'Failed to communicate with the chatbot', details: error.message });
}
- const file = await openai.files.content(file_id);
- const new_file_name = `${uuid.v4()}-${file_name}`;
- const file_path = path.join(directory, new_file_name);
- const file_array_buffer = await file.arrayBuffer();
- const bufferView = new Uint8Array(file_array_buffer);
- try {
- const written_file = await writeFileAsync(file_path, bufferView);
- console.log(written_file);
- console.log(file_path);
- console.log(file_array_buffer);
- console.log(bufferView);
- const file_object = new File([bufferView], file_name);
- //DashUploadUtils.upload(file_object, 'openAIFiles');
- res.send({ file_path: path.join(files_directory, new_file_name) });
- /* res.send( {
- source: "file",
- result: {
- accessPaths: {
- agnostic: {client: path.join('/files/openAIFiles/', `${uuid.v4()}-${file_name}`)}
- },
- rawText: "",
- duration: 0,
- },
- } ); */
- } catch (error) {
- res.status(500).send({ error: 'Failed to write file' + error });
+ },
+ });
+
+ register({
+ method: Method.POST,
+ subscription: '/formatChunks',
+ secureHandler: async ({ req, res }) => {
+ const { relevantChunks } = req.body;
+ const content: { type: string; text?: string; image_url?: { url: string } }[] = [{ type: 'text', text: '<chunks>' }];
+
+ for (const chunk of relevantChunks) {
+ content.push({
+ type: 'text',
+ text: `<chunk chunk_id=${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 });
},
});
}