From 5fbe7462dd81e6791955f1cbf859471d5d93b49c Mon Sep 17 00:00:00 2001 From: Aleksandr Zhytnyk Date: Mon, 26 Feb 2024 21:54:29 +0200 Subject: [PATCH] Add media similarity tracker --- .env.example | 13 +- .gitignore | 1 + .prettierignore | 1 + .vscode/launch.json | 8 +- .vscode/settings.json | 6 +- Dockerfile | 2 +- README.md | 6 + docker-compose.yaml | 13 + package-lock.json | 2765 ++++++++++++++----- package.json | 30 +- src/app.ts | 19 +- src/bot/bot.class.ts | 16 +- src/bot/commands/command.class.ts | 8 +- src/bot/commands/index.ts | 1 + src/bot/commands/mediaTracker.command.ts | 174 ++ src/bot/commands/recognizeSpeech.command.ts | 40 +- src/bot/commands/start.command.ts | 12 +- src/config/config.service.ts | 24 +- src/dataSource/dataSource.factory.ts | 8 + src/dataSource/dataSource.ts | 25 + src/entity/ChatPhotoMessage.entity.ts | 18 + src/entity/ChatState.entity.ts | 11 + src/entity/index.ts | 2 + src/migrations/1708961612985-Initial.ts | 24 + src/scripts/stringSession.ts | 23 + src/services/ai.service.ts | 78 +- src/services/file.service.ts | 68 + tsconfig.json | 11 +- tsconfig.release.json | 7 + 29 files changed, 2712 insertions(+), 702 deletions(-) create mode 100644 .prettierignore create mode 100644 src/bot/commands/mediaTracker.command.ts create mode 100644 src/dataSource/dataSource.factory.ts create mode 100644 src/dataSource/dataSource.ts create mode 100644 src/entity/ChatPhotoMessage.entity.ts create mode 100644 src/entity/ChatState.entity.ts create mode 100644 src/entity/index.ts create mode 100644 src/migrations/1708961612985-Initial.ts create mode 100644 src/scripts/stringSession.ts create mode 100644 src/services/file.service.ts create mode 100644 tsconfig.release.json diff --git a/.env.example b/.env.example index f656e0f..9b72a37 100644 --- a/.env.example +++ b/.env.example @@ -1 +1,12 @@ -TOKEN= +TG_TOKEN=123456789:ABCDEFG-GHIJKLMNOPQRSTUVWXYZabc-def +TG_API_ID=123456789 +TG_API_HASH=abcdefgghijklmnopqrstuvwxyz12345 +TG_API_SESSION= +DB_HOST=postgres +DB_PORT=5432 +DB_NAME=ai_bot +DB_USERNAME=postgres +DB_PASSWORD=changeme +MATCH_TEXT_THRESHOLD=0.24 +MATCH_IMAGE_THRESHOLD=0.96 +MATCH_IMAGE_COUNT=3 diff --git a/.gitignore b/.gitignore index 8c68b67..999ac33 100755 --- a/.gitignore +++ b/.gitignore @@ -1,4 +1,5 @@ .env +docker-compose.override.yml node_modules data diff --git a/.prettierignore b/.prettierignore new file mode 100644 index 0000000..ca0115a --- /dev/null +++ b/.prettierignore @@ -0,0 +1 @@ +src/migrations/*.ts diff --git a/.vscode/launch.json b/.vscode/launch.json index 51ff0d0..7eb9b9c 100644 --- a/.vscode/launch.json +++ b/.vscode/launch.json @@ -6,13 +6,7 @@ "name": "Launch", "type": "node", "request": "launch", - "program": "src/app.ts", - - /* - Path to tsx binary - Assuming locally installed - */ - "runtimeExecutable": "${workspaceRoot}/node_modules/.bin/tsx", + "program": "dist/app.js", /* Open terminal when debugging starts (Optional) diff --git a/.vscode/settings.json b/.vscode/settings.json index ab27784..a354673 100755 --- a/.vscode/settings.json +++ b/.vscode/settings.json @@ -4,8 +4,8 @@ "editor.renderControlCharacters": true, "explorer.fileNesting.enabled": true, "explorer.fileNesting.patterns": { - "Dockerfile": ".dockerignore, docker-compose.yaml", - "package.json": ".editorconfig, .env*, .git*, .prettierrc, package-lock.json, tsconfig.json" + "Dockerfile": ".dockerignore, docker-compose.yaml, docker-compose.override.yml", + "package.json": ".editorconfig, .env*, .git*, .prettierignore, .prettierrc, package-lock.json, tsconfig.json, tsconfig.release.json" }, "[javascript]": { "editor.defaultFormatter": "esbenp.prettier-vscode" @@ -18,5 +18,5 @@ }, "typescript.tsdk": "node_modules/typescript/lib", "cSpell.language": "en,uk", - "cSpell.words": ["Xenova"] + "cSpell.words": ["typeorm", "Xenova"] } diff --git a/Dockerfile b/Dockerfile index 3d22045..d1f70e5 100644 --- a/Dockerfile +++ b/Dockerfile @@ -5,7 +5,7 @@ WORKDIR /app COPY package*.json ./ RUN npm ci COPY . . -RUN npm run build && npm prune --production +RUN npm run build:release && npm prune --production # production-stage FROM node:20 diff --git a/README.md b/README.md index 7c2a4ff..bddf32a 100644 --- a/README.md +++ b/README.md @@ -1 +1,7 @@ # Telegram AI Bot + +## Migration example + +```sh +npx typeorm migration:generate ./src/migrations/Initial -d ./dist/dataSource/dataSource.js +``` diff --git a/docker-compose.yaml b/docker-compose.yaml index 8bacfbe..ce0aa87 100644 --- a/docker-compose.yaml +++ b/docker-compose.yaml @@ -10,4 +10,17 @@ services: - .env volumes: - /srv/appdata/ai_bot/data:/app/data + depends_on: + - postgres + restart: always + + postgres: + container_name: ai_bot_postgres + image: tensorchord/pgvecto-rs:pg16-v0.2.0 + environment: + POSTGRES_DB: ${DB_NAME} + POSTGRES_USER: ${DB_USERNAME} + POSTGRES_PASSWORD: ${DB_PASSWORD} + volumes: + - /srv/appdata/ai_bot/postgresql:/var/lib/postgresql/data restart: always diff --git a/package-lock.json b/package-lock.json index 645c03c..0b1580d 100644 --- a/package-lock.json +++ b/package-lock.json @@ -1,28 +1,34 @@ { "name": "ai_bot", - "version": "1.0.0", + "version": "1.2.0", "lockfileVersion": 3, "requires": true, "packages": { "": { "name": "ai_bot", - "version": "1.0.0", + "version": "1.2.0", "dependencies": { "@iamtraction/google-translate": "^2.0.1", - "@xenova/transformers": "^2.15.0", - "dotenv": "^16.4.4", + "@xenova/transformers": "^2.15.1", + "dotenv": "^16.4.5", "fluent-ffmpeg": "^2.1.2", - "telegraf": "github:telegraf/telegraf#feat/api-7.0", + "input": "^1.0.1", + "pg": "^8.11.3", + "reflect-metadata": "^0.2.1", + "telegraf": "^4.16.2", + "telegram": "^2.19.20", + "typeorm": "^0.3.20", "wavefile": "^11.0.0" }, "devDependencies": { "@types/fluent-ffmpeg": "^2.1.24", - "@types/node": "^20.11.19", + "@types/node": "^20.11.20", "@typescript-eslint/eslint-plugin": "^7.0.2", "@typescript-eslint/parser": "^7.0.2", - "eslint": "^8.56.0", + "eslint": "^8.57.0", + "nodemon": "^3.1.0", "prettier": 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"sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==", + "dependencies": { + "emoji-regex": "^8.0.0", + "is-fullwidth-code-point": "^3.0.0", + "strip-ansi": "^6.0.1" + }, + "engines": { + "node": ">=8" + } + }, "node_modules/yocto-queue": { "version": "0.1.0", "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz", diff --git a/package.json b/package.json index e633bf5..f83b932 100644 --- a/package.json +++ b/package.json @@ -1,31 +1,41 @@ { "name": "ai_bot", - "version": "1.0.0", + "version": "1.2.0", "private": true, "main": "src/app.ts", "type": "module", "scripts": { - "start": "tsx src/app.ts", - "dev": "tsx watch src/app.ts", - "build": "tsc --noEmit false", + "start": "tsc && node dist/app.js", + "dev": "nodemon dist/app.js", + "clean": "rimraf dist", + "build": "tsc", + "build:watch": "tsc -w", + "build:release": "npm run clean && tsc -p tsconfig.release.json", + "tg:session": "tsc && node dist/scripts/stringSession.js", "test": "echo \"Error: no test specified\" && exit 1" }, "dependencies": { "@iamtraction/google-translate": "^2.0.1", - "@xenova/transformers": "^2.15.0", - "dotenv": "^16.4.4", + "@xenova/transformers": "^2.15.1", + "dotenv": "^16.4.5", "fluent-ffmpeg": "^2.1.2", - "telegraf": "github:telegraf/telegraf#feat/api-7.0", + "input": "^1.0.1", + "pg": "^8.11.3", + "reflect-metadata": "^0.2.1", + "telegraf": "^4.16.2", + "telegram": "^2.19.20", + "typeorm": "^0.3.20", "wavefile": "^11.0.0" }, "devDependencies": { "@types/fluent-ffmpeg": "^2.1.24", - "@types/node": "^20.11.19", + "@types/node": "^20.11.20", "@typescript-eslint/eslint-plugin": "^7.0.2", "@typescript-eslint/parser": "^7.0.2", - "eslint": "^8.56.0", + "eslint": "^8.57.0", + "nodemon": "^3.1.0", "prettier": "^3.2.5", - "tsx": "^4.7.1", + "rimraf": "^5.0.5", "typescript": "^5.3.3" }, "eslintConfig": { diff --git a/src/app.ts b/src/app.ts index 5c82762..df2a013 100644 --- a/src/app.ts +++ b/src/app.ts @@ -1,11 +1,20 @@ -import { Bot } from './bot/bot.class.js'; -import { StartCommand, ClassifyMessageCommand, RecognizeSpeechCommand, ClockCommand } from './bot/commands/index.js'; +import dataSource from './dataSource/dataSource.js'; import { ConfigService } from './config/config.service.js'; +import { Bot } from './bot/bot.class.js'; +import { + StartCommand, + ClassifyMessageCommand, + MediaTrackerCommand, + RecognizeSpeechCommand, +} from './bot/commands/index.js'; + +const configService = ConfigService.getInstance(); + +await dataSource.initialize(); -const configService = new ConfigService(); -const bot = new Bot(configService); +const bot = new Bot(configService, dataSource); -bot.registerCommands([StartCommand, ClockCommand, ClassifyMessageCommand, RecognizeSpeechCommand]); +bot.registerCommands([StartCommand, MediaTrackerCommand, ClassifyMessageCommand, RecognizeSpeechCommand]); bot.start(); // Enable graceful stop diff --git a/src/bot/bot.class.ts b/src/bot/bot.class.ts index fcf863c..535acbe 100644 --- a/src/bot/bot.class.ts +++ b/src/bot/bot.class.ts @@ -1,5 +1,6 @@ import { session, Telegraf } from 'telegraf'; import { BotCommand } from 'telegraf/types'; +import { DataSource } from 'typeorm'; import { Command } from './commands/command.class.js'; import { IBotContext } from './context/context.interface.js'; import { ConfigService } from '../config/config.service.js'; @@ -8,15 +9,22 @@ export class Bot { private bot: Telegraf; private commands: Command[] = []; - constructor(private readonly configService: ConfigService) { - this.bot = new Telegraf(this.configService.get('TOKEN'), { handlerTimeout: Infinity }); + constructor( + private readonly configService: ConfigService, + private readonly dataSource: DataSource, + ) { + this.bot = new Telegraf(this.configService.get('TG_TOKEN'), { handlerTimeout: Infinity }); this.bot.use(session()); } - registerCommands(commands: Array<{ new (bot: Telegraf): Command }>) { + registerCommands( + commands: Array<{ + new (bot: Telegraf, dataSource: DataSource, configService: ConfigService): Command; + }>, + ) { const botCommands: BotCommand[] = []; for (const Command of commands) { - const commandEntity = new Command(this.bot); + const commandEntity = new Command(this.bot, this.dataSource, this.configService); commandEntity.handle(); this.commands.push(commandEntity); const { command, description } = commandEntity; diff --git a/src/bot/commands/command.class.ts b/src/bot/commands/command.class.ts index d1bb92c..fcec718 100644 --- a/src/bot/commands/command.class.ts +++ b/src/bot/commands/command.class.ts @@ -1,8 +1,14 @@ import { Telegraf } from 'telegraf'; +import { DataSource } from 'typeorm'; import { IBotContext } from '../context/context.interface.js'; +import { ConfigService } from '../../config/config.service.js'; export abstract class Command { - constructor(public readonly bot: Telegraf) {} + constructor( + public readonly bot: Telegraf, + public readonly dataSource: DataSource, + public readonly configService: ConfigService, + ) {} abstract command: string | null; abstract description: string | null; diff --git a/src/bot/commands/index.ts b/src/bot/commands/index.ts index 57ee0f7..a9ffd77 100644 --- a/src/bot/commands/index.ts +++ b/src/bot/commands/index.ts @@ -2,5 +2,6 @@ export * from './command.class.js'; export * from './classifyMessage.command.js'; export * from './clock.command.js'; +export * from './mediaTracker.command.js'; export * from './recognizeSpeech.command.js'; export * from './start.command.js'; diff --git a/src/bot/commands/mediaTracker.command.ts b/src/bot/commands/mediaTracker.command.ts new file mode 100644 index 0000000..62d953e --- /dev/null +++ b/src/bot/commands/mediaTracker.command.ts @@ -0,0 +1,174 @@ +import { NarrowedContext } from 'telegraf'; +import { Message, Update } from 'telegraf/types'; +import { message } from 'telegraf/filters'; +import { TelegramClient, Api } from 'telegram'; +import { StringSession } from 'telegram/sessions/index.js'; +import { Command } from './command.class.js'; +import { IBotContext } from '../context/context.interface.js'; +import { AIService } from '../../services/ai.service.js'; +import { FileService } from '../../services/file.service.js'; +import { ChatPhotoMessage, ChatState } from '../../entity/index.js'; + +export class MediaTrackerCommand extends Command { + public command = 'searchmedia'; + public description = '[text] 🖼 Пошук медіа за описом'; + private aiService = AIService.getInstance(); + private fileService = FileService.getInstance(); + private tgClient: TelegramClient | null = null; + private similarFoundVariants = ['ось тут', 'ще тут', 'і ось', 'навіть це', 'і оце щось схоже']; + + handle(): void { + this.bot.on(message('photo'), async (ctx) => { + const fileId = ctx.message.photo.at(-1)?.file_id; + if (fileId) { + await this.messageHandler(ctx, fileId); + } + }); + this.bot.on(message('video'), async (ctx) => { + const fileId = ctx.message.video.thumbnail?.file_id; + if (fileId) { + await this.messageHandler(ctx, fileId); + } + }); + this.bot.command(this.command, async (ctx) => { + await ctx.reply('👾 Поки що в розробці.', { + reply_parameters: { message_id: ctx.message.message_id }, + }); + }); + } + + private async messageHandler(ctx: NarrowedContext>, fileId: string) { + const chatId = ctx.chat.id; + const messageId = ctx.message.message_id; + const chatStateRepository = this.dataSource.getRepository(ChatState); + const chatPhotoMessageRepository = this.dataSource.getRepository(ChatPhotoMessage); + + try { + // Check media import is done + const chatState = await chatStateRepository.findOneBy({ chatId: String(chatId) }); + const isMediaImported = chatState?.isMediaImported ?? false; + if (!isMediaImported) { + const [latestChatPhotoMessage] = await chatPhotoMessageRepository.find({ + where: { chatId: String(chatId) }, + order: { messageId: 'DESC' }, + take: 1, + }); + const lastImportedMessageId = latestChatPhotoMessage ? Number(latestChatPhotoMessage.messageId) : 0; + const lastMessageId = messageId; + await this.importChatMessages(chatId, lastImportedMessageId, lastMessageId); + // Save to DB + const chatState = new ChatState(); + chatState.chatId = String(chatId); + (chatState.isMediaImported = true), await chatStateRepository.save(chatState); + } + // DB similarity search + const imageEmbeddingString = await this.getEmbeddingStringByImageFileId(fileId); + type Messages = { + messageId: string; + similarity: number; + }; + const messages = await chatPhotoMessageRepository + .createQueryBuilder('msg') + .select('msg.messageId', 'messageId') + .addSelect('1 - (embedding <=> :embedding)', 'similarity') + .where('msg.chatId = :chatId') + .andWhere('1 - (embedding <=> :embedding) > :matchImageThreshold') + .orderBy('similarity', 'DESC') + .limit(this.configService.get('MATCH_IMAGE_COUNT')) + .setParameters({ + chatId, + embedding: imageEmbeddingString, + matchImageThreshold: this.configService.get('MATCH_IMAGE_THRESHOLD'), + }) + .getRawMany(); + // When similar + if (messages.length > 0) { + await ctx.reply('Здається, я це вже десь бачив...', { + reply_parameters: { message_id: messageId }, + }); + let replyMessageCount = 0; + for (const { messageId, similarity } of messages) { + const variantNumber = replyMessageCount++ % this.similarFoundVariants.length; + await ctx.reply(`${this.similarFoundVariants[variantNumber]} (${Math.round(similarity * 1e4) / 1e2}%)`, { + reply_parameters: { message_id: Number(messageId) }, + }); + // Wait 300ms before send next message + await new Promise((r) => setTimeout(r, 300)); + } + } + // Save to DB + const chatPhotoMessage = new ChatPhotoMessage(); + chatPhotoMessage.chatId = String(chatId); + chatPhotoMessage.messageId = String(messageId); + chatPhotoMessage.embedding = imageEmbeddingString; + await chatPhotoMessageRepository.save(chatPhotoMessage); + } catch (e) { + console.log(e); + } + } + + private async getEmbeddingStringByImageFileId(fileId: string) { + const fileUrl = await this.bot.telegram.getFileLink(fileId); + const imageBuffer = await this.fileService.getBufferByUrl(fileUrl); + const rawImage = await this.aiService.getRawImageFromBuffer(imageBuffer); + const imageEmbedding = await this.aiService.getImageClipEmbedding(rawImage); + const imageEmbeddingString = JSON.stringify(imageEmbedding); + return imageEmbeddingString; + } + + private async importChatMessages( + chatId: number, + lastImportedMessageId: number, + lastMessageId: number, + ): Promise { + const apiId = this.configService.get('TG_API_ID'); + const apiHash = this.configService.get('TG_API_HASH'); + const stringSession = new StringSession(this.configService.get('TG_API_SESSION')); + this.tgClient = new TelegramClient(stringSession, apiId, apiHash, { connectionRetries: 5 }); + await this.tgClient.connect(); + + for await (const message of this.tgClient.iterMessages(chatId, { + offsetId: lastImportedMessageId, + reverse: true, + filter: new Api.InputMessagesFilterPhotoVideo(), + })) { + if (message.id < lastMessageId) { + const t1 = performance.now(); + let fleLocation: Api.InputPhotoFileLocation | Api.InputDocumentFileLocation | null = null; + if (message.video) { + const { id, fileReference, accessHash } = message.video; + const thumbSize = message.video.thumbs?.findLast(({ className }) => className === 'PhotoSize')?.type ?? 'm'; + fleLocation = new Api.InputDocumentFileLocation({ id, fileReference, accessHash, thumbSize }); + } else if (message.photo) { + const photo = message.photo as Api.Photo; + const { id, fileReference, accessHash } = photo; + const thumbSize = photo.sizes.at(-1)?.type ?? 'm'; + fleLocation = new Api.InputPhotoFileLocation({ id, fileReference, accessHash, thumbSize }); + } + if (fleLocation) { + const imageBuffer = await this.tgClient.downloadFile(fleLocation); + if (imageBuffer instanceof Buffer) { + // Get image embedding + const rawImage = await this.aiService.getRawImageFromBuffer(imageBuffer); + const imageEmbedding = await this.aiService.getImageClipEmbedding(rawImage); + const imageEmbeddingString = JSON.stringify(imageEmbedding); + // Save to DB + const chatPhotoMessage = new ChatPhotoMessage(); + chatPhotoMessage.chatId = String(chatId); + chatPhotoMessage.messageId = String(message.id); + chatPhotoMessage.embedding = imageEmbeddingString; + await this.dataSource.manager.save(chatPhotoMessage); + // Logging + const t2 = performance.now(); + console.log(`Imported message ${message.id}/${lastMessageId - 1} (${Math.round(t2 - t1)} ms)`); + } + } + } + } + await this.tgClient.destroy(); + } + + async dispose() { + await this.aiService.dispose(); + } +} diff --git a/src/bot/commands/recognizeSpeech.command.ts b/src/bot/commands/recognizeSpeech.command.ts index bc1bd1a..a89b041 100644 --- a/src/bot/commands/recognizeSpeech.command.ts +++ b/src/bot/commands/recognizeSpeech.command.ts @@ -1,6 +1,4 @@ import fs from 'node:fs'; -import path from 'node:path'; -import https from 'node:https'; import ffmpeg from 'fluent-ffmpeg'; import wavefile from 'wavefile'; import { NarrowedContext } from 'telegraf'; @@ -10,54 +8,45 @@ import { message } from 'telegraf/filters'; import { Command } from './command.class.js'; import { IBotContext } from '../context/context.interface.js'; import { AIService } from '../../services/ai.service.js'; +import { FileService } from '../../services/file.service.js'; export class RecognizeSpeechCommand extends Command { public command = null; public description = null; private aiService = AIService.getInstance(); + private fileService = FileService.getInstance(); handle(): void { this.bot.on(message('voice'), async (ctx) => { - await this.messageHandler(ctx, ctx.message.voice.file_id, 'ogg'); + await this.messageHandler(ctx, ctx.message.voice.file_id, ctx.message.voice.duration, 'ogg'); }); this.bot.on(message('video_note'), async (ctx) => { - await this.messageHandler(ctx, ctx.message.video_note.file_id, 'mp4'); + await this.messageHandler(ctx, ctx.message.video_note.file_id, ctx.message.video_note.duration, 'mp4'); }); } private async messageHandler( ctx: NarrowedContext>, fileId: string, + duration: number, fileExt: string, ) { const replyMessage = await ctx.reply('💬', { reply_parameters: { message_id: ctx.message.message_id }, }); - const text = await this.extractText(fileId, fileExt); + const text = await this.extractText(fileId, duration, fileExt); ctx.telegram.editMessageText(ctx.chat.id, replyMessage.message_id, undefined, text); } - private async extractText(fileId: string, fileExt: string) { - const mediaPath = path.resolve('data', 'media'); - const srcFilePath = path.resolve(mediaPath, `${fileId}.${fileExt}`); - const wavFilePath = path.resolve(mediaPath, `${fileId}.wav`); + private async extractText(fileId: string, duration: number, fileExt: string) { + const srcFileName = `${fileId}.${fileExt}`; + const wavFileName = `${fileId}.wav`; + const wavFilePath = this.fileService.getFilePathByFileName(wavFileName); let resultText = ''; - try { - fs.mkdirSync(mediaPath, { recursive: true }); - } catch (e) { - /* empty */ - } - try { const link = await this.bot.telegram.getFileLink(fileId); - await new Promise((resolve, reject) => { - https.get(link, (res) => { - res.on('end', resolve); - res.on('error', reject); - res.pipe(fs.createWriteStream(srcFilePath)); - }); - }); + const srcFilePath = await this.fileService.saveFileByUrl(link, srcFileName); await new Promise((resolve, reject) => { ffmpeg(srcFilePath) .audioFrequency(16000) @@ -71,13 +60,16 @@ export class RecognizeSpeechCommand extends Command { const wavBuffer = await fs.promises.readFile(wavFilePath); const wav = new wavefile.WaveFile(wavBuffer); const audioData = wav.getSamples(); - const text = await this.aiService.audio2text(audioData); + const text = await this.aiService.audio2text(audioData, duration); resultText = `📝 ${text.trim()}`; } catch (e) { console.log(e); resultText = '📛 Помилка'; } finally { - await Promise.allSettled([fs.promises.rm(srcFilePath), fs.promises.rm(wavFilePath)]); + await Promise.allSettled([ + this.fileService.deleteFileByFileName(srcFileName), + this.fileService.deleteFileByFileName(wavFileName), + ]); } return resultText.trim(); } diff --git a/src/bot/commands/start.command.ts b/src/bot/commands/start.command.ts index 19676fc..02e48ca 100644 --- a/src/bot/commands/start.command.ts +++ b/src/bot/commands/start.command.ts @@ -5,10 +5,14 @@ export class StartCommand extends Command { public description = '👋 Привітатися'; handle(): void { - this.bot.start((ctx) => { - ctx.reply( - 'Привіт, я вмію розпізнавати мову і представляти її у вигляді тексту, погано реагую на грубу мову і незабаром навчуся взаємодіяти з картинками.', - ); + this.bot.start(async (ctx) => { + try { + await ctx.reply( + 'Привіт, я вмію розпізнавати мову і представляти її у вигляді тексту, погано реагую на грубу мову і незабаром навчуся взаємодіяти з картинками.', + ); + } catch (e) { + console.log(ctx.chat, e); + } }); } diff --git a/src/config/config.service.ts b/src/config/config.service.ts index 7649810..23e6121 100644 --- a/src/config/config.service.ts +++ b/src/config/config.service.ts @@ -1,11 +1,31 @@ import 'dotenv/config'; export class ConfigService { + private static instance: ConfigService; + private constructor() {} + public static getInstance(): ConfigService { + if (!ConfigService.instance) { + ConfigService.instance = new ConfigService(); + } + return ConfigService.instance; + } + private static readonly config = { - TOKEN: process.env.TOKEN || '', + TG_TOKEN: process.env.TG_TOKEN || '', + TG_API_ID: parseInt(process.env.TG_API_ID || '', 10), + TG_API_HASH: process.env.TG_API_HASH || '', + TG_API_SESSION: process.env.TG_API_SESSION || '', + DB_HOST: process.env.DB_HOST || 'localhost', + DB_PORT: parseInt(process.env.DB_PORT || '', 10) || 5432, + DB_NAME: process.env.DB_NAME || 'ai_bot', + DB_USERNAME: process.env.DB_USERNAME || 'postgres', + DB_PASSWORD: process.env.DB_PASSWORD, + MATCH_TEXT_THRESHOLD: parseFloat(process.env.MATCH_TEXT_THRESHOLD || '') || 0.24, + MATCH_IMAGE_THRESHOLD: parseFloat(process.env.MATCH_IMAGE_THRESHOLD || '') || 0.96, + MATCH_IMAGE_COUNT: parseInt(process.env.MATCH_IMAGE_COUNT || '', 10) || 3, }; - get(key: keyof typeof ConfigService.config): string { + get(key: K): (typeof ConfigService.config)[K] { return ConfigService.config[key]; } } diff --git a/src/dataSource/dataSource.factory.ts b/src/dataSource/dataSource.factory.ts new file mode 100644 index 0000000..68161ba --- /dev/null +++ b/src/dataSource/dataSource.factory.ts @@ -0,0 +1,8 @@ +import { ColumnType, DataSource, DataSourceOptions } from 'typeorm'; + +export const dataSourceFactory = (options: DataSourceOptions): DataSource => { + const dataSource = new DataSource(options); + dataSource.driver.supportedDataTypes.push('vector' as ColumnType); + dataSource.driver.withLengthColumnTypes.push('vector' as ColumnType); + return dataSource; +}; diff --git a/src/dataSource/dataSource.ts b/src/dataSource/dataSource.ts new file mode 100644 index 0000000..60d0386 --- /dev/null +++ b/src/dataSource/dataSource.ts @@ -0,0 +1,25 @@ +import 'reflect-metadata'; +import { dirname } from 'node:path'; +import { fileURLToPath } from 'node:url'; +import { dataSourceFactory } from './dataSource.factory.js'; +import { ConfigService } from '../config/config.service.js'; + +const __dirname = dirname(fileURLToPath(import.meta.url)); +const configService = ConfigService.getInstance(); +const dataSource = dataSourceFactory({ + type: 'postgres', + host: configService.get('DB_HOST'), + port: configService.get('DB_PORT'), + username: configService.get('DB_USERNAME'), + password: configService.get('DB_PASSWORD'), + database: configService.get('DB_NAME'), + synchronize: false, + logging: false, + connectTimeoutMS: 10_000, // 10 seconds + migrationsRun: true, + entities: [`${__dirname}/../entity/*.{js,ts}`], + subscribers: [], + migrations: [`${__dirname}/../migrations/*.{js,ts}`], +}); + +export default dataSource; diff --git a/src/entity/ChatPhotoMessage.entity.ts b/src/entity/ChatPhotoMessage.entity.ts new file mode 100644 index 0000000..09cb8ab --- /dev/null +++ b/src/entity/ChatPhotoMessage.entity.ts @@ -0,0 +1,18 @@ +import { BaseEntity, Column, ColumnType, Entity, Index, PrimaryGeneratedColumn } from 'typeorm'; + +@Entity('chat_photo_message') +export class ChatPhotoMessage extends BaseEntity { + @PrimaryGeneratedColumn('uuid') + id!: string; + + @Index('chat_photo_message_chatId_idx') + @Column('bigint') + chatId!: string; + + @Column('bigint') + messageId!: string; + + @Index('chat_photo_message_embedding_idx', { synchronize: false }) + @Column({ type: 'vector' as ColumnType, length: 512, select: false }) + embedding!: string; +} diff --git a/src/entity/ChatState.entity.ts b/src/entity/ChatState.entity.ts new file mode 100644 index 0000000..ab301b8 --- /dev/null +++ b/src/entity/ChatState.entity.ts @@ -0,0 +1,11 @@ +import { BaseEntity, Column, Entity, Index, PrimaryColumn } from 'typeorm'; + +@Entity('chat_state') +export class ChatState extends BaseEntity { + @Index('chat_state_chatId_idx') + @PrimaryColumn('bigint') + chatId!: string; + + @Column({ default: false }) + isMediaImported!: boolean; +} diff --git a/src/entity/index.ts b/src/entity/index.ts new file mode 100644 index 0000000..306cd3c --- /dev/null +++ b/src/entity/index.ts @@ -0,0 +1,2 @@ +export * from './ChatPhotoMessage.entity.js'; +export * from './ChatState.entity.js'; diff --git a/src/migrations/1708961612985-Initial.ts b/src/migrations/1708961612985-Initial.ts new file mode 100644 index 0000000..e9f0c97 --- /dev/null +++ b/src/migrations/1708961612985-Initial.ts @@ -0,0 +1,24 @@ +import { MigrationInterface, QueryRunner } from "typeorm"; + +export class Initial1708961612985 implements MigrationInterface { + name = 'Initial1708961612985' + + public async up(queryRunner: QueryRunner): Promise { + await queryRunner.query(`CREATE EXTENSION IF NOT EXISTS vectors;`); + await queryRunner.query(`CREATE TABLE "chat_state" ("chatId" bigint NOT NULL, "isMediaImported" boolean NOT NULL DEFAULT false, CONSTRAINT "PK_cccd354b950a19442b57ca40959" PRIMARY KEY ("chatId"))`); + await queryRunner.query(`CREATE INDEX "chat_state_chatId_idx" ON "chat_state" ("chatId") `); + await queryRunner.query(`CREATE TABLE "chat_photo_message" ("id" uuid NOT NULL DEFAULT uuid_generate_v4(), "chatId" bigint NOT NULL, "messageId" bigint NOT NULL, "embedding" vector(512) NOT NULL, CONSTRAINT "PK_fbf4a15d9eb2262d886e559353b" PRIMARY KEY ("id"))`); + await queryRunner.query(`CREATE INDEX "chat_photo_message_chatId_idx" ON "chat_photo_message" ("chatId")`); + await queryRunner.query(`CREATE INDEX "chat_photo_message_embedding_idx" ON "chat_photo_message" USING vectors ("embedding" vector_l2_ops)`); + } + + public async down(queryRunner: QueryRunner): Promise { + await queryRunner.query(`DROP INDEX "public"."chat_photo_message_embedding_idx"`); + await queryRunner.query(`DROP INDEX "public"."chat_photo_message_chatId_idx"`); + await queryRunner.query(`DROP TABLE "chat_photo_message"`); + await queryRunner.query(`DROP INDEX "public"."chat_state_chatId_idx"`); + await queryRunner.query(`DROP TABLE "chat_state"`); + await queryRunner.query(`DROP EXTENSION IF EXISTS vectors`); + } + +} diff --git a/src/scripts/stringSession.ts b/src/scripts/stringSession.ts new file mode 100644 index 0000000..f7af257 --- /dev/null +++ b/src/scripts/stringSession.ts @@ -0,0 +1,23 @@ +import { TelegramClient } from 'telegram'; +import { StringSession } from 'telegram/sessions/index.js'; +// @ts-expect-error any +import input from 'input'; +import { ConfigService } from '../config/config.service.js'; + +const configService = ConfigService.getInstance(); +const apiId = configService.get('TG_API_ID'); +const apiHash = configService.get('TG_API_HASH'); +const stringSession = new StringSession(configService.get('TG_API_SESSION')); + +console.log('Loading interactive app...'); +const client = new TelegramClient(stringSession, apiId, apiHash, { connectionRetries: 5 }); +await client.start({ + phoneNumber: async () => await input.text('Please enter your number: '), + password: async () => await input.text('Please enter your password: '), + phoneCode: async () => await input.text('Please enter the code you received: '), + onError: (err) => console.log(err), +}); +console.log('SAVE THIS TO "TG_API_SESSION":'); +console.log(client.session.save()); // Save this string to avoid logging in again + +await client.destroy(); diff --git a/src/services/ai.service.ts b/src/services/ai.service.ts index e17034f..61ec1d8 100644 --- a/src/services/ai.service.ts +++ b/src/services/ai.service.ts @@ -1,10 +1,19 @@ import googleTranslate from '@iamtraction/google-translate'; +import sharp from 'sharp'; import { env, pipeline, TextClassificationPipeline, AutomaticSpeechRecognitionPipeline, AudioPipelineInputs, + PreTrainedTokenizer, + Processor, + PreTrainedModel, + AutoTokenizer, + AutoProcessor, + CLIPVisionModelWithProjection, + CLIPTextModelWithProjection, + RawImage, } from '@xenova/transformers'; env.cacheDir = './data/models'; @@ -36,6 +45,11 @@ export class AIService { return AIService.instance; } + private clipModel = 'Xenova/clip-vit-base-patch16'; + private clipTokenizer: Promise | null = null; + private clipProcessor: Promise | null = null; + private clipTextModel: Promise | null = null; + private clipVisionModel: Promise | null = null; private sentimentAnalysisPipeline: Promise | null = null; private toxicAnalysisPipeline: Promise | null = null; private automaticSpeechRecognitionPipeline: Promise | null = null; @@ -48,6 +62,30 @@ export class AIService { ]); } + private getClipTokenizer() { + if (!this.clipTokenizer) { + this.clipTokenizer = AutoTokenizer.from_pretrained(this.clipModel, { quantized: false }); + } + return this.clipTokenizer; + } + private getClipProcessor() { + if (!this.clipProcessor) { + this.clipProcessor = AutoProcessor.from_pretrained(this.clipModel, { quantized: false }); + } + return this.clipProcessor; + } + private getClipTextModel() { + if (!this.clipTextModel) { + this.clipTextModel = CLIPTextModelWithProjection.from_pretrained(this.clipModel, { quantized: false }); + } + return this.clipTextModel; + } + private getClipVisionModel() { + if (!this.clipVisionModel) { + this.clipVisionModel = CLIPVisionModelWithProjection.from_pretrained(this.clipModel, { quantized: false }); + } + return this.clipVisionModel; + } private getSentimentAnalysisPipeline() { if (!this.sentimentAnalysisPipeline) { this.sentimentAnalysisPipeline = pipeline( @@ -70,14 +108,42 @@ export class AIService { return this.automaticSpeechRecognitionPipeline; } - public async sentimentAnalysis(text: string) { + async getRawImageFromFilePath(filePath: string): Promise { + return RawImage.read(filePath); + } + + async getRawImageFromBuffer(buffer: Buffer): Promise { + const img = sharp(buffer); + const { data, info } = await img.raw().toBuffer({ resolveWithObject: true }); + return new RawImage(new Uint8ClampedArray(data), info.width, info.height, info.channels); + } + + async getTextClipEmbedding(text: string): Promise { + const tokenizer = await this.getClipTokenizer(); + const text_model = await this.getClipTextModel(); + const textInputs = tokenizer(text, { padding: true, truncation: true }); + const { text_embeds } = await text_model(textInputs); + const textEmbedding = text_embeds.tolist()[0] as number[]; + return textEmbedding; + } + + async getImageClipEmbedding(image: RawImage): Promise { + const clipProcessor = await this.getClipProcessor(); + const clipVisionModel = await this.getClipVisionModel(); + const imageInputs = await clipProcessor(image); + const { image_embeds } = await clipVisionModel(imageInputs); + const imageEmbedding = image_embeds.tolist()[0] as number[]; + return imageEmbedding; + } + + async sentimentAnalysis(text: string) { const classifier = await this.getSentimentAnalysisPipeline(); const output = await classifier(text); console.log('sentimentAnalysis', text, output); return output as DistilBertResponse[]; } - public async toxicAnalysis(text: string) { + async toxicAnalysis(text: string) { const classifier = await this.getToxicAnalysisPipeline(); const t1 = performance.now(); const output = await classifier(text, { topk: 6 }); @@ -86,10 +152,14 @@ export class AIService { return output as ToxicBertResponse[]; } - async audio2text(audio: AudioPipelineInputs): Promise { + async audio2text(audio: AudioPipelineInputs, duration: number): Promise { const transcriber = await this.getAutomaticSpeechRecognitionPipeline(); const t1 = performance.now(); - const output = await transcriber(audio, { task: 'transcribe', chunk_length_s: 30, stride_length_s: 5 }); + const output = await transcriber(audio, { + task: 'transcribe', + chunk_length_s: duration >= 30 ? 30 : undefined, + stride_length_s: duration >= 30 ? 5 : undefined, + }); const t2 = performance.now(); console.log(`transcribe(${Math.round(t2 - t1)} ms)`, output); const { text } = output as WhisperResponse; diff --git a/src/services/file.service.ts b/src/services/file.service.ts new file mode 100644 index 0000000..cdb0de8 --- /dev/null +++ b/src/services/file.service.ts @@ -0,0 +1,68 @@ +import fs from 'node:fs'; +import path from 'node:path'; +import https from 'node:https'; + +export class FileService { + private static instance: FileService; + private constructor() {} + public static getInstance(): FileService { + if (!FileService.instance) { + FileService.instance = new FileService(); + } + return FileService.instance; + } + + public mediaPath = path.resolve('data', 'media'); + + createMediaFolder() { + try { + fs.mkdirSync(this.mediaPath, { recursive: true }); + } catch (e) { + /* empty */ + } + } + + getFilePathByFileName(fileName: string) { + return path.resolve(this.mediaPath, fileName); + } + + async saveFileByUrl(url: string | URL, fileName: string) { + this.createMediaFolder(); + const filePath = this.getFilePathByFileName(fileName); + const file = fs.createWriteStream(filePath); + await new Promise((resolve, reject) => { + https.get(url, (res) => { + if (!res.statusCode || res.statusCode < 200 || res.statusCode >= 300) { + reject(new Error(`Failed, status code: ${res.statusCode}`)); + } + res.on('error', reject); + file.on('error', reject); + file.on('finish', () => { + file.close(); + resolve(true); + }); + res.pipe(file); + }); + }); + return filePath; + } + + async getBufferByUrl(url: string | URL): Promise { + return new Promise((resolve, reject) => { + https.get(url, (res) => { + if (!res.statusCode || res.statusCode < 200 || res.statusCode >= 300) { + reject(new Error(`Failed, status code: ${res.statusCode}`)); + } + const chunks: Buffer[] = []; + res.on('data', (chunk: Buffer) => chunks.push(chunk)); + res.on('end', () => resolve(Buffer.concat(chunks))); + res.on('error', reject); + }); + }); + } + + async deleteFileByFileName(fileName: string) { + const filePath = this.getFilePathByFileName(fileName); + await fs.promises.rm(filePath); + } +} diff --git a/tsconfig.json b/tsconfig.json index 5679519..126e3c1 100644 --- a/tsconfig.json +++ b/tsconfig.json @@ -12,11 +12,16 @@ "noFallthroughCasesInSwitch": true, "resolveJsonModule": true, "isolatedModules": true, - "noEmit": true, + "sourceMap": true, + "incremental": true, + "noImplicitReturns": true, + "noUnusedLocals": true, + "noUnusedParameters": true, + "emitDecoratorMetadata": true, + "experimentalDecorators": true, "baseUrl": ".", "outDir": "dist", "lib": ["esnext"] }, - "include": ["src/*.ts"], - "exclude": ["src/utils/*"] + "include": ["src/**/*"] } diff --git a/tsconfig.release.json b/tsconfig.release.json new file mode 100644 index 0000000..07f75f5 --- /dev/null +++ b/tsconfig.release.json @@ -0,0 +1,7 @@ +{ + "extends": "./tsconfig.json", + "compilerOptions": { + "sourceMap": false, + "removeComments": true + } +}