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https://github.com/Litlyx/litlyx
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add dashboard
This commit is contained in:
144
dashboard/server/services/AiService.ts
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144
dashboard/server/services/AiService.ts
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import { getVisitsCountFromDateRange } from '~/server/api/ai/functions/AI_Visits';
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import OpenAI from "openai";
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import { AiChatModel } from '@schema/ai/AiChatSchema';
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import { AI_EventsFunctions, AI_EventsTools } from '../api/ai/functions/AI_Events';
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import { ProjectCountModel } from '@schema/ProjectsCounts';
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import { getCurrentProjectCountId } from '@functions/UtilsProjectCounts';
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const { AI_ORG, AI_PROJECT, AI_KEY } = useRuntimeConfig();
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const openai = new OpenAI({
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organization: AI_ORG,
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project: AI_PROJECT,
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apiKey: AI_KEY
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});
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// const get_current_date: OpenAI.Chat.Completions.ChatCompletionTool = {
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// type: 'function',
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// function: {
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// name: 'get_current_date',
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// description: 'Gets the current date as ISO string',
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// }
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// }
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const get_visits_count_Schema: OpenAI.Chat.Completions.ChatCompletionTool = {
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type: 'function',
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function: {
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name: 'get_visits_count',
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description: 'Gets the number of visits received on a date range',
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parameters: {
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type: 'object',
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properties: {
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from: { type: 'string', description: 'ISO string of start date including hours' },
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to: { type: 'string', description: 'ISO string of end date including hours' }
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},
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required: ['from', 'to']
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}
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}
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}
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const tools: OpenAI.Chat.Completions.ChatCompletionTool[] = [
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get_visits_count_Schema,
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...AI_EventsTools
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]
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const functions: any = {
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get_current_date: async ({ }) => {
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return new Date().toISOString();
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},
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get_visits_count: async ({ pid, from, to }: any) => {
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return await getVisitsCountFromDateRange(pid, from, to);
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},
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...AI_EventsFunctions
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}
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async function getMessagesFromChatId(chat_id?: string) {
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if (!chat_id) return;
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const chatItem = await AiChatModel.findById(chat_id);
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if (!chatItem) return;
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return chatItem.messages;
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}
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async function addMessageToChat(message: any, chat_id?: string) {
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if (!chat_id) return;
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await AiChatModel.updateOne({ _id: chat_id }, { $push: { messages: message } });
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}
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async function createChatIfNotExist(pid: string, chat_id?: string) {
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const chatItem = await AiChatModel.exists({ _id: chat_id });
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if (chatItem) return chatItem._id.toString();
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const newChatItem = await AiChatModel.create({ messages: [], project_id: pid, title: 'new chat' });
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return newChatItem._id.toString();
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}
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async function setChatTitle(title: string, chat_id?: string) {
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if (!chat_id) return;
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await AiChatModel.updateOne({ _id: chat_id }, { title });
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}
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export async function sendMessageOnChat(text: string, pid: string, initial_chat_id?: string) {
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const messages: OpenAI.Chat.Completions.ChatCompletionMessageParam[] = []
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const chat_id = await createChatIfNotExist(pid, initial_chat_id);
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const chatMessages = await getMessagesFromChatId(chat_id);
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if (chatMessages && chatMessages.length > 0) {
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messages.push(...chatMessages);
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} else {
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const roleMessage: OpenAI.Chat.Completions.ChatCompletionMessageParam = {
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role: 'system', content: "Today is " + new Date().toISOString()
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}
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messages.push(roleMessage);
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await addMessageToChat(roleMessage, chat_id);
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await setChatTitle(text.substring(0, 110), chat_id);
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}
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const userMessage: OpenAI.Chat.Completions.ChatCompletionMessageParam = {
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role: 'user', content: text
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}
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messages.push(userMessage);
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await addMessageToChat(userMessage, chat_id);
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let response = await openai.chat.completions.create({ model: 'gpt-3.5-turbo', messages, n: 1, tools });
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let responseMessage = response.choices[0].message;
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let toolCalls = responseMessage.tool_calls;
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await addMessageToChat(responseMessage, chat_id);
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messages.push(responseMessage);
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if (toolCalls) {
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console.log({ toolCalls: toolCalls.length });
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for (const toolCall of toolCalls) {
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const functionName = toolCall.function.name;
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const functionToCall = functions[functionName];
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const functionArgs = JSON.parse(toolCall.function.arguments);
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console.log('CALLING FUNCTION', functionName, 'WITH PARAMS', functionArgs);
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const functionResponse = await functionToCall({ pid, ...functionArgs });
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console.log('RESPONSE FUNCTION', functionName, 'WITH VALUE', functionResponse);
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messages.push({ tool_call_id: toolCall.id, role: "tool", content: JSON.stringify(functionResponse) });
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await addMessageToChat({ tool_call_id: toolCall.id, role: "tool", content: JSON.stringify(functionResponse) }, chat_id);
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}
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response = await openai.chat.completions.create({ model: 'gpt-3.5-turbo', messages, n: 1, tools });
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responseMessage = response.choices[0].message;
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toolCalls = responseMessage.tool_calls;
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await addMessageToChat(responseMessage, chat_id);
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}
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const currentCountId = await getCurrentProjectCountId(pid);
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if (!currentCountId) console.error('Project not exist');
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await ProjectCountModel.updateOne({ _id: currentCountId }, { $inc: { ai_messages: 1 } })
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return responseMessage.content;
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}
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