Test #2
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const continueThread = require('./openai-thread-completion').continueThread
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const { Log } = require('debug-level')
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require('babel-polyfill');
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require('isomorphic-fetch');
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const { mmClient, wsClient } = require('./mm-client')
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// the mattermost library uses FormData - so here is a polyfill
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if (!global.FormData) {
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global.FormData = require('form-data');
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}
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Log.options({ json: true, colors: true })
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Log.wrapConsole('bot-ws', { level4log: 'INFO' })
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const log = new Log('bot')
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let meId = null;
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mmClient.getMe().then(me => meId = me.id)
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const name = process.env['MATTERMOST_BOTNAME'] || '@dall-e'
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wsClient.addMessageListener(async function (event) {
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if (['posted'].includes(event.event) && meId) {
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const post = JSON.parse(event.data.post);
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if (post.root_id === "" && (!event.data.mentions || (!JSON.parse(event.data.mentions).includes(meId)))) {
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// we're not in a thread and we are not mentioned - ignore the message
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} else {
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if (post.user_id !== meId) {
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const chatmessages = [
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{
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"role": "system",
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"content": `You are a helpful assistant named ${name} who provides succinct answers in Markdown format.`
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},
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]
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let appendDiagramInstructions = false
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const thread = await mmClient.getPostThread(post.id, true, false, true)
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const posts = [...new Set(thread.order)].map(id => thread.posts[id])
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.filter(a => a.create_at > Date.now() - 1000 * 60 * 60 * 24 * 1)
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.sort((a, b) => a.create_at - b.create_at)
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let assistantCount = 0;
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posts.forEach(threadPost => {
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log.trace({msg: threadPost})
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if (threadPost.user_id === meId) {
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chatmessages.push({role: "assistant", content: threadPost.props.originalMessage ?? threadPost.message})
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assistantCount++
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} else {
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if (threadPost.message.includes(name)){
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assistantCount++;
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}
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chatmessages.push({role: "user", content: threadPost.message})
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}
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})
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// see if we are actually part of the conversation -
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// ignore conversations where we were never mentioned or participated.
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if (assistantCount > 0){
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wsClient.userTyping(post.channel_id, post.id ?? "")
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log.trace({chatmessages})
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const answer = await continueThread(chatmessages)
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log.trace({answer})
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wsClient.userTyping(post.channel_id, post.id ?? "")
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const newPost = await mmClient.createPost({
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message: message,
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channel_id: post.channel_id,
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props,
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root_id: post.root_id || post.id,
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file_ids: fileId ? [fileId] : undefined
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})
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log.trace({msg: newPost})
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}
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}
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}
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} else {
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log.debug({msg: event})
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}
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});
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@@ -0,0 +1,31 @@
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const Client4 = require('@mattermost/client').Client4
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const WebSocketClient = require('@mattermost/client').WebSocketClient
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const { Log } = require('debug-level')
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const log = new Log('bot')
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if (!global.WebSocket) {
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global.WebSocket = require('ws');
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}
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const mattermostToken = process.env['MATTERMOST_TOKEN']
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const matterMostURLString = process.env['MATTERMOST_URL']
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const client = new Client4()
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client.setUrl(matterMostURLString)
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client.setToken(mattermostToken)
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const wsClient = new WebSocketClient();
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let matterMostURL = new URL(matterMostURLString);
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const wsUrl = `${matterMostURL.protocol === 'https:' ? 'wss' : 'ws'}://${matterMostURL.host}/api/v4/websocket`
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new Promise((resolve, reject) => {
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wsClient.addCloseListener(connectFailCount => reject())
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wsClient.addErrorListener(event => { reject(event) })
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}).then(() => process.exit(0)).catch(reason => { log.error(reason); process.exit(-1)})
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wsClient.initialize(wsUrl, mattermostToken)
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module.exports = {
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mmClient: client,
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wsClient
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}
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@@ -0,0 +1,21 @@
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const { Configuration, OpenAIApi } = require("openai");
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const configuration = new Configuration({
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apiKey: process.env["OPENAI_API_KEY"]
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});
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const openai = new OpenAIApi(configuration);
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const model = process.env["OPENAI_MODEL_NAME"] ?? 'image-alpha-001'
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const max_tokens = Number(process.env["OPENAI_MAX_TOKENS"] ?? 2000)
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async function continueThread(messages) {
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const response = await openai.generateImage({
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prompt: messages,
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model,
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n: 1,
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size: "512x512",
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response_format: "b64_json",
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});
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return response.json?.data?.choices?.[0]?.message?.content
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}
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module.exports = { continueThread }
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