130 lines
5.4 KiB
JavaScript
130 lines
5.4 KiB
JavaScript
/*
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* ThunderAI [https://micz.it/thunderbird-addon-thunderai/]
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* Copyright (C) 2024 - 2025 Mic (m@micz.it)
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* This program is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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* You should have received a copy of the GNU General Public License
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* along with this program. If not, see <http://www.gnu.org/licenses/>.
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*
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*
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* This file contains a modified version of the code from the project at https://github.com/boxabirds/chatgpt-frontend-nobuild
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* The original code has been released under the Apache License, Version 2.0.
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*/
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import { GoogleGemini } from '../api/google_gemini.js';
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import { taLogger } from '../mzta-logger.js';
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let google_gemini_api_key = null;
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let google_gemini_model = '';
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let google_gemini = null;
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let stopStreaming = false;
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let i18nStrings = null;
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let do_debug = false;
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let taLog = null;
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let conversationHistory = [];
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let assistantResponseAccumulator = '';
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self.onmessage = async function(event) {
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if (event.data.type === 'init') {
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google_gemini_api_key = event.data.google_gemini_api_key;
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google_gemini_model = event.data.google_gemini_model;
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google_gemini = new GoogleGemini({
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apiKey: google_gemini_api_key,
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model: google_gemini_model,
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system_instruction: event.data.google_gemini_system_instruction,
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stream: true
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});
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do_debug = event.data.do_debug;
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i18nStrings = event.data.i18nStrings;
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taLog = new taLogger('model-worker-google_gemini', do_debug);
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} else if (event.data.type === 'chatMessage') {
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conversationHistory.push({ role: 'user', parts: [{"text": event.data.message}] });
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const response = await google_gemini.fetchResponse(conversationHistory);
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postMessage({ type: 'messageSent' });
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if (!response.ok) {
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let error_message = '';
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let errorDetail = '';
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if(response.is_exception === true){
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error_message = response.error;
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}else{
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try{
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const errorJSON = await response.json();
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errorDetail = JSON.stringify(errorJSON);
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error_message = errorJSON.error.message;
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}catch(e){
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error_message = response.statusText;
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}
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taLog.log("error_message: " + JSON.stringify(error_message));
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}
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postMessage({ type: 'error', payload: i18nStrings["google_gemini_api_request_failed"] + ": " + response.status + " " + response.statusText + ", Detail: " + error_message + " " + errorDetail });
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throw new Error("[ThunderAI] Google Gemini API request failed: " + response.status + " " + response.statusText + ", Detail: " + error_message + " " + errorDetail);
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}
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const reader = response.body.getReader();
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const decoder = new TextDecoder("utf-8");
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let buffer = '';
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while (true) {
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if (stopStreaming) {
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stopStreaming = false;
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reader.cancel();
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conversationHistory.push({ role: 'model', parts: [{"text": assistantResponseAccumulator}] });
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assistantResponseAccumulator = '';
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postMessage({ type: 'tokensDone' });
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break;
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}
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const { done, value } = await reader.read();
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if (done) {
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conversationHistory.push({ role: 'model', parts: [{"text": assistantResponseAccumulator}] });
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assistantResponseAccumulator = '';
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postMessage({ type: 'tokensDone' });
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break;
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}
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// lots of low-level Google Gemini response parsing stuff
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const chunk = decoder.decode(value);
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buffer += chunk;
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taLog.log("buffer " + buffer);
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const lines = buffer.split("\n");
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buffer = lines.pop();
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let parsedLines = [];
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try{
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parsedLines = lines
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.map((line) => line.replace(/^data: /, "").trim()) // Remove the "data: " prefix
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.filter((line) => line !== "" ) // Remove empty lines
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// .map((line) => JSON.parse(line)); // Parse the JSON string
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.map((line) => {
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taLog.log("line: " + JSON.stringify(line));
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return JSON.parse(line);
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});
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}catch(e){
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taLog.error("Error parsing lines: " + e);
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}
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for (const parsedLine of parsedLines) {
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const { candidates } = parsedLine;
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const { content } = candidates[0];
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const { parts } = content;
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const { text } = parts[0];
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// Update the UI with the new content
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if (text) {
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assistantResponseAccumulator += text;
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postMessage({ type: 'newToken', payload: { token: text } });
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}
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}
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}
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} else if (event.data.type === 'stop') {
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stopStreaming = true;
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}
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};
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