feat: add vercel/ai package; gigachat api; refactor dictionaries; add units put request #72
							
								
								
									
										2047
									
								
								package-lock.json
									
									
									
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										2047
									
								
								package-lock.json
									
									
									
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										10
									
								
								package.json
									
									
									
									
									
								
							
							
						
						
									
										10
									
								
								package.json
									
									
									
									
									
								
							@ -23,10 +23,12 @@
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		||||
  "license": "MIT",
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		||||
  "homepage": "https://bitbucket.org/online-mentor/multi-stub#readme",
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		||||
  "dependencies": {
 | 
			
		||||
    "axios": "^1.7.9",
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		||||
    "bcrypt": "^5.1.1",
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		||||
    "body-parser": "^1.20.3",
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    "cookie-parser": "^1.4.7",
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		||||
    "ai": "^4.1.13",
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		||||
    "axios": "^1.7.7",
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		||||
    "bcrypt": "^5.1.0",
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    "body-parser": "^1.19.0",
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		||||
    "cookie-parser": "^1.4.5",
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		||||
    "cors": "^2.8.5",
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		||||
    "cross-env": "^7.0.3",
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		||||
    "crypto-js": "^4.2.0",
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    "dotenv": "^16.4.7",
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@ -1,17 +0,0 @@
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[
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		||||
  {
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		||||
    "id": 0,
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		||||
    "description": "10 часто используемых",
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		||||
    "imageFilename": "kart1.jpg"
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		||||
  },
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		||||
  {
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		||||
    "id": 1,
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		||||
    "description": "10 слов в Data Science",
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		||||
    "imageFilename": "kart1.jpg"
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		||||
  },
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		||||
  {
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		||||
	"id": 2,
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		||||
	"description": "IT Basics Dictionary",
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		||||
    "imageFilename": "kart1.jpg"
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		||||
  }
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		||||
]
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		||||
@ -6,18 +6,14 @@
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		||||
        "id": 0,
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		||||
        "word": "Tech",
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		||||
        "definition": "short for technical, relating to the knowledge, machines, or methods used in science and industry. Tech is a whole industry, which includes IT",
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        "examples": [
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          "“As a DevOps engineer I have been working in Tech since 2020.”"
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        ],
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        "examples": ["“As a DevOps engineer I have been working in Tech since 2020.”"],
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        "synonyms": ["IT"]
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      },
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		||||
      {
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        "id": 1,
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        "word": "career path",
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        "definition": "the series of jobs or roles that constitute a person's career, especially one in a particular field",
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        "examples": [
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          "“Technology is an evolving field with a variety of available career paths.”"
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        ],
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        "examples": ["“Technology is an evolving field with a variety of available career paths.”"],
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        "synonyms": []
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      }
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    ]
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@ -146,130 +142,5 @@
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        ]
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      }
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    ]
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  },
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  {
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	  "id": 2,
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	  "words": [
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		{
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			"id": 0,
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			"word": "software",
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			"translation": "программное обеспечение",
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			"definition": "A collection of computer instructions that perform a specific task, typically for use by humans or machines.",
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			"synonyms": ["код", "приложение", "управление программами"],
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			"examples":
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				[
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					"I need to update the software on my new laptop.",
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					"The company uses Windows as its operating system."
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				]
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		},
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		||||
		{
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			"id": 1,
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			"word": "hardware",
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			"translation": "железо",
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			"definition": "Physical components of a computer that process information, including processors and storage devices.",
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		||||
			"synonyms": ["equipment", "приборы", "оборудование"],
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		||||
			"examples":
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				[
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					"The keyboard is part of the hardware on this device.",
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					"They upgraded their router to improve internet speed."
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				]
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		},
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		||||
		{
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			"id": 2,
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			"word": "network",
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			"translation": "сети",
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			"definition": "A system of interconnected devices that communicate with each other through data transmission over a networked medium.",
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		||||
			"synonyms": ["трансляция", "коммуникации", "диалог"],
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			"examples":
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				[
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					"We use the internet to connect our devices in the same area.",
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					"The company relies on their internal network for data sharing."
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				]
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		},
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		{
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			"id": 3,
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			"word": "algorithm",
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			"translation": "алгоритм",
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			"definition": "A set of instructions that a computer follows to solve a problem or achieve a specific task.",
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			"synonyms": ["процесс", "схема", "текст"],
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			"examples":
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				[
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					"The algorithm for sorting numbers is easy to follow.",
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					"The new software includes an advanced algorithm."
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				]
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		},
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		{
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			"id": 4,
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			"word": "encryption",
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			"translation": "криптография",
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			"definition": "A technique that transforms information into a secure form, making it unreadable without the appropriate key.",
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		||||
			"synonyms": ["шифрование", "окрышение", "опциональное"],
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			"examples":
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				[
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					"Our data is encrypted to ensure its privacy and security.",
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					"I need to use an encryption program for my important documents."
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				]
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		},
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		{
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			"id": 5,
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			"word": "debugging",
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			"translation": "поиск и исправление ошибок",
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			"definition": "The process of identifying and correcting errors or defects in a computer program.",
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			"synonyms": ["исправление", "сканирование", "анализ"],
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		||||
			"examples":
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				[
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					"I need to debug the code for this new project.",
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					"We use automated tools to find bugs."
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				]
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		},
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		{
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			"id": 6,
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			"word": "API",
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			"translation": "интерфейс приложения",
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			"definition": "A set of rules and protocols that enables communication between software applications, typically over a network.",
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		||||
			"synonyms": ["серверное программирование", "функциональная структура"],
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		||||
			"examples":
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				[
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					"We use the API for our mobile app to access data from the backend server.",
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		||||
					"I need to write an API for connecting my devices to the internet."
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		||||
				]
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		||||
		},
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		||||
		{
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		||||
			"id": 7,
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			"word": "virtual",
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			"translation": "виртуальный",
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			"definition": "A representation of a thing that does not exist physically but exists in digital form.",
 | 
			
		||||
			"synonyms": ["высокопроизводительный", "представление", "цифровой"],
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		||||
			"examples":
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				[
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					"I use virtual reality to experience different environments.",
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		||||
					"Our company offers virtual office spaces for remote work."
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		||||
				]
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		||||
		},
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		||||
		{
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		||||
			"id": 8,
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			"word": "infrastructure",
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		||||
			"translation": "инфраструктура",
 | 
			
		||||
			"definition": "The underlying systems and equipment of a computer network or organization, including hardware, software, and physical connections.",
 | 
			
		||||
			"synonyms": ["оборудование", "устройство", "системы"],
 | 
			
		||||
			"examples":
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		||||
				[
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		||||
					"Our IT infrastructure is robust to ensure reliable operations.",
 | 
			
		||||
					"They need to improve their internet infrastructure for better connectivity."
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		||||
				]
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		||||
		},
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		||||
		{
 | 
			
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			"id": 9,
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			"word": "hacker",
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			"translation": "хакер",
 | 
			
		||||
			"definition": "A skilled individual who uses computer technology to break into and misuse a system or network.",
 | 
			
		||||
			"synonyms": ["дезориентированный", "манипулятор", "прокурор"],
 | 
			
		||||
			"examples":
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				[
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					"I need to avoid getting involved with hackers.",
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					"They were caught hacking into the company's confidential database."
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				]
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		}
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	]
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  }
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]
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@ -0,0 +1 @@
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[{"id":1,"description":"10 слов в Data Science","imageFilename":"kart1.jpg","words":[2,3,4,5,6,7,8,9,10,11,12]}]
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@ -1,42 +1,99 @@
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const fs = require('fs');
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const path = require('path');
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const router = require("express").Router();
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const router = require('express').Router();
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module.exports = router;
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const data = require("./data/dictionaries.json");
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const wordsData = require("./data/dictionaryWords.json");
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const dictionaries = require('./dictionaries.json');
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const words = require('../words/words.json');
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router.get("/", (req, res) => {
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  res.send(data);
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router.get('/', (req, res) => {
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  res.send(dictionaries);
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});
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// Put new dictionary to the array of dictionaries
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router.put('/new', (req, res) => {
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  if (!data || !Array.isArray(data)) {
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    return res.status(400).send('No array of dictionaries found`');
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router.get('/:id', (req, res) => {
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  const id = parseInt(req.params.id);
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  if (!id || isNaN(id)) {
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    return res.status(400).send('Invalid ID'); // Bad request
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  }
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  const updatedData = req.body;
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		||||
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  if (!updatedData) {
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    return res.status(400).send('No data to update'); // Bad request
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		||||
  }
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  if (!data) {
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  if (!dictionaries) {
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		||||
    return res.status(500).send('No data to update'); // Internal server error
 | 
			
		||||
  }
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  const indexedUpdatedData = { id: data.length, ...updatedData }; // Add the new dictionary to the array
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  const dictionary = dictionaries.find((dictionary) => dictionary.id === id);
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  data.push(indexedUpdatedData); // Add the new dictionary to the array
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  if (!dictionary) {
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    return res.status(404).send('Not found');
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		||||
  }
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  const dictionaryWords = dictionary.words.map((wordId) => {
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    const word = words.find((word) => word.id === wordId);
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    return { ...word, ...word };
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  });
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  res.send({ ...dictionary, words: dictionaryWords });
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});
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  fs.writeFile(path.join(__dirname, 'data/dictionaries.json'), JSON.stringify(data), (err) => {
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router.post('/:id', (req, res) => {
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  const id = parseInt(req.params.id);
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  if (!id || isNaN(id)) {
 | 
			
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    return res.status(400).send('Invalid ID'); // Bad request
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  }
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  if (!dictionaries) {
 | 
			
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    return res.status(500).send('No data to update'); // Internal server error
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  }
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  const dictionary = dictionaries.find((dictionary) => dictionary.id === id);
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  if (!dictionary) {
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    return res.status(404).send('Not found');
 | 
			
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  }
 | 
			
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 | 
			
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  const newWord = req.body;
 | 
			
		||||
  if (!newWord) {
 | 
			
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    return res.status(400).send('No data to add'); // Bad request
 | 
			
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  }
 | 
			
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  console.log(newWord);
 | 
			
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  if (isNaN(newWord.id)) {
 | 
			
		||||
    return res.status(400).send('Invalid word ID'); // Bad request
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  }
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  dictionary.words.push(newWord.id);
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  fs.writeFile(path.join(__dirname, 'dictionaries.json'), JSON.stringify(dictionaries), (err) => {
 | 
			
		||||
    if (err) {
 | 
			
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      console.error(err); // Log the error
 | 
			
		||||
      return res.status(500).send('Error saving data');
 | 
			
		||||
    }
 | 
			
		||||
    res.status(200).json(data); // Send back the updated data
 | 
			
		||||
    res.status(200).json(dictionary); // Send back the updated data
 | 
			
		||||
  });
 | 
			
		||||
});
 | 
			
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 | 
			
		||||
// Put new dictionary to the array of dictionaries
 | 
			
		||||
router.put('/', (req, res) => {
 | 
			
		||||
  if (!dictionaries || !Array.isArray(dictionaries)) {
 | 
			
		||||
    return res.status(400).send('No array of dictionaries found`');
 | 
			
		||||
  }
 | 
			
		||||
 | 
			
		||||
  const newData = req.body;
 | 
			
		||||
 | 
			
		||||
  if (!newData) {
 | 
			
		||||
    return res.status(400).send('No data to add'); // Bad request
 | 
			
		||||
  }
 | 
			
		||||
 | 
			
		||||
  if (!dictionaries) {
 | 
			
		||||
    return res.status(500).send('No data to update'); // Internal server error
 | 
			
		||||
  }
 | 
			
		||||
 | 
			
		||||
  const indexedUpdatedData = { ...newData, id: dictionaries.length + 1 }; // Add the new dictionary to the array
 | 
			
		||||
 | 
			
		||||
  dictionaries.push(indexedUpdatedData); // Add the new dictionary to the array
 | 
			
		||||
 | 
			
		||||
  fs.writeFile(path.join(__dirname, 'dictionaries.json'), JSON.stringify(dictionaries), (err) => {
 | 
			
		||||
    if (err) {
 | 
			
		||||
      console.error(err); // Log the error
 | 
			
		||||
      return res.status(500).send('Error saving data');
 | 
			
		||||
    }
 | 
			
		||||
    res.status(200).json(dictionaries); // Send back the updated data
 | 
			
		||||
  });
 | 
			
		||||
});
 | 
			
		||||
 | 
			
		||||
@ -47,15 +104,15 @@ router.delete('/:id', (req, res) => {
 | 
			
		||||
    return res.status(400).send('Invalid ID'); // Bad request
 | 
			
		||||
  }
 | 
			
		||||
 | 
			
		||||
  const index = data.findIndex((dictionary) => dictionary.id === id);
 | 
			
		||||
  const index = dictionaries.findIndex((dictionary) => dictionary.id === id);
 | 
			
		||||
 | 
			
		||||
  if (index < 0) {
 | 
			
		||||
    return res.status(404).send('Not found'); // Not found
 | 
			
		||||
  }
 | 
			
		||||
 | 
			
		||||
  data.splice(index, 1); // Remove the dictionary from the array
 | 
			
		||||
  dictionaries.splice(index, 1); // Remove the dictionary from the array
 | 
			
		||||
 | 
			
		||||
  fs.writeFile(path.join(__dirname, 'data/dictionaries.json'), JSON.stringify(data), (err) => {
 | 
			
		||||
  fs.writeFile(path.join(__dirname, 'dictionaries.json'), JSON.stringify(dictionaries), (err) => {
 | 
			
		||||
    if (err) {
 | 
			
		||||
      console.error(err); // Log the error
 | 
			
		||||
      return res.status(500).send('Error saving data');
 | 
			
		||||
@ -63,14 +120,3 @@ router.delete('/:id', (req, res) => {
 | 
			
		||||
    res.send({ message: `Dictionary with id ${id} deleted` });
 | 
			
		||||
  });
 | 
			
		||||
});
 | 
			
		||||
 | 
			
		||||
router.get("/:id", (req, res) => {
 | 
			
		||||
  const id = parseInt(req.params.id);
 | 
			
		||||
  const words = wordsData.find((word) => word.id === id);
 | 
			
		||||
 | 
			
		||||
  if (!words) {
 | 
			
		||||
    return res.status(404).send("Not found");
 | 
			
		||||
  }
 | 
			
		||||
 | 
			
		||||
  res.send(words);
 | 
			
		||||
});
 | 
			
		||||
 | 
			
		||||
							
								
								
									
										6188
									
								
								server/routers/kfu-m-24-1/eng-it-lean/gigachat/ai.js
									
									
									
									
									
										Normal file
									
								
							
							
						
						
									
										6188
									
								
								server/routers/kfu-m-24-1/eng-it-lean/gigachat/ai.js
									
									
									
									
									
										Normal file
									
								
							
										
											
												File diff suppressed because it is too large
												Load Diff
											
										
									
								
							
							
								
								
									
										614
									
								
								server/routers/kfu-m-24-1/eng-it-lean/gigachat/gigachat.js
									
									
									
									
									
										Normal file
									
								
							
							
						
						
									
										614
									
								
								server/routers/kfu-m-24-1/eng-it-lean/gigachat/gigachat.js
									
									
									
									
									
										Normal file
									
								
							@ -0,0 +1,614 @@
 | 
			
		||||
"use strict";
 | 
			
		||||
var __defProp = Object.defineProperty;
 | 
			
		||||
var __getOwnPropDesc = Object.getOwnPropertyDescriptor;
 | 
			
		||||
var __getOwnPropNames = Object.getOwnPropertyNames;
 | 
			
		||||
var __hasOwnProp = Object.prototype.hasOwnProperty;
 | 
			
		||||
var __export = (target, all) => {
 | 
			
		||||
  for (var name in all)
 | 
			
		||||
    __defProp(target, name, { get: all[name], enumerable: true });
 | 
			
		||||
};
 | 
			
		||||
var __copyProps = (to, from, except, desc) => {
 | 
			
		||||
  if (from && typeof from === "object" || typeof from === "function") {
 | 
			
		||||
    for (let key of __getOwnPropNames(from))
 | 
			
		||||
      if (!__hasOwnProp.call(to, key) && key !== except)
 | 
			
		||||
        __defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable });
 | 
			
		||||
  }
 | 
			
		||||
  return to;
 | 
			
		||||
};
 | 
			
		||||
var __toCommonJS = (mod) => __copyProps(__defProp({}, "__esModule", { value: true }), mod);
 | 
			
		||||
 | 
			
		||||
// src/index.ts
 | 
			
		||||
var index_exports = {};
 | 
			
		||||
__export(index_exports, {
 | 
			
		||||
  createGigachat: () => createGigachat,
 | 
			
		||||
  gigachat: () => gigachat
 | 
			
		||||
});
 | 
			
		||||
module.exports = __toCommonJS(index_exports);
 | 
			
		||||
 | 
			
		||||
// src/gigachat-provider.ts
 | 
			
		||||
var import_provider_utils4 = require("@ai-sdk/provider-utils");
 | 
			
		||||
 | 
			
		||||
// src/gigachat-chat-language-model.ts
 | 
			
		||||
var import_provider_utils2 = require("@ai-sdk/provider-utils");
 | 
			
		||||
var import_zod2 = require("zod");
 | 
			
		||||
 | 
			
		||||
// src/convert-to-gigachat-chat-messages.ts
 | 
			
		||||
var import_provider = require("@ai-sdk/provider");
 | 
			
		||||
function convertToGigachatChatMessages(prompt) {
 | 
			
		||||
  const messages = [];
 | 
			
		||||
  for (let i = 0; i < prompt.length; i++) {
 | 
			
		||||
    const { role, content } = prompt[i];
 | 
			
		||||
    const isLastMessage = i === prompt.length - 1;
 | 
			
		||||
    switch (role) {
 | 
			
		||||
      case "system": {
 | 
			
		||||
        messages.push({ role: "system", content });
 | 
			
		||||
        break;
 | 
			
		||||
      }
 | 
			
		||||
      case "user": {
 | 
			
		||||
        messages.push({
 | 
			
		||||
          role: "user",
 | 
			
		||||
          content: content.map((part) => {
 | 
			
		||||
            switch (part.type) {
 | 
			
		||||
              case "text": {
 | 
			
		||||
                return part.text;
 | 
			
		||||
              }
 | 
			
		||||
              case "image": {
 | 
			
		||||
                throw new import_provider.UnsupportedFunctionalityError({
 | 
			
		||||
                  functionality: 'Images should be added in "attachments" object'
 | 
			
		||||
                });
 | 
			
		||||
              }
 | 
			
		||||
              case "file": {
 | 
			
		||||
                throw new import_provider.UnsupportedFunctionalityError({
 | 
			
		||||
                  functionality: "File content parts in user messages"
 | 
			
		||||
                });
 | 
			
		||||
              }
 | 
			
		||||
            }
 | 
			
		||||
          }).join("")
 | 
			
		||||
        });
 | 
			
		||||
        break;
 | 
			
		||||
      }
 | 
			
		||||
      case "assistant": {
 | 
			
		||||
        let text = "";
 | 
			
		||||
        let functionCall;
 | 
			
		||||
        for (const part of content) {
 | 
			
		||||
          switch (part.type) {
 | 
			
		||||
            case "text": {
 | 
			
		||||
              text += part.text;
 | 
			
		||||
              break;
 | 
			
		||||
            }
 | 
			
		||||
            case "tool-call": {
 | 
			
		||||
              functionCall = {
 | 
			
		||||
                name: part.toolName,
 | 
			
		||||
                arguments: part.args
 | 
			
		||||
              };
 | 
			
		||||
              break;
 | 
			
		||||
            }
 | 
			
		||||
            default: {
 | 
			
		||||
              const _exhaustiveCheck = part;
 | 
			
		||||
              throw new Error(`Unsupported part: ${_exhaustiveCheck}`);
 | 
			
		||||
            }
 | 
			
		||||
          }
 | 
			
		||||
        }
 | 
			
		||||
        messages.push({
 | 
			
		||||
          role: "assistant",
 | 
			
		||||
          content: text,
 | 
			
		||||
          prefix: isLastMessage ? true : void 0,
 | 
			
		||||
          function_call: functionCall
 | 
			
		||||
        });
 | 
			
		||||
        break;
 | 
			
		||||
      }
 | 
			
		||||
      case "tool": {
 | 
			
		||||
        for (const toolResponse of content) {
 | 
			
		||||
          messages.push({
 | 
			
		||||
            role: "function",
 | 
			
		||||
            name: toolResponse.toolName,
 | 
			
		||||
            content: JSON.stringify(toolResponse.result)
 | 
			
		||||
          });
 | 
			
		||||
        }
 | 
			
		||||
        break;
 | 
			
		||||
      }
 | 
			
		||||
      default: {
 | 
			
		||||
        const _exhaustiveCheck = role;
 | 
			
		||||
        throw new Error(`Unsupported role: ${_exhaustiveCheck}`);
 | 
			
		||||
      }
 | 
			
		||||
    }
 | 
			
		||||
  }
 | 
			
		||||
  return messages;
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
// src/map-gigachat-finish-reason.ts
 | 
			
		||||
function mapGigachatFinishReason(finishReason) {
 | 
			
		||||
  switch (finishReason) {
 | 
			
		||||
    case "stop":
 | 
			
		||||
      return "stop";
 | 
			
		||||
    case "length":
 | 
			
		||||
    case "model_length":
 | 
			
		||||
      return "length";
 | 
			
		||||
    case "function_call":
 | 
			
		||||
      return "tool-calls";
 | 
			
		||||
    case "error":
 | 
			
		||||
      return "error";
 | 
			
		||||
    default:
 | 
			
		||||
      return "unknown";
 | 
			
		||||
  }
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
// src/gigachat-error.ts
 | 
			
		||||
var import_provider_utils = require("@ai-sdk/provider-utils");
 | 
			
		||||
var import_zod = require("zod");
 | 
			
		||||
var gigachatErrorDataSchema = import_zod.z.object({
 | 
			
		||||
  object: import_zod.z.literal("error"),
 | 
			
		||||
  message: import_zod.z.string(),
 | 
			
		||||
  type: import_zod.z.string(),
 | 
			
		||||
  param: import_zod.z.string().nullable(),
 | 
			
		||||
  code: import_zod.z.string().nullable()
 | 
			
		||||
});
 | 
			
		||||
var gigachatFailedResponseHandler = (0, import_provider_utils.createJsonErrorResponseHandler)({
 | 
			
		||||
  errorSchema: gigachatErrorDataSchema,
 | 
			
		||||
  errorToMessage: (data) => data.message
 | 
			
		||||
});
 | 
			
		||||
 | 
			
		||||
// src/get-response-metadata.ts
 | 
			
		||||
function getResponseMetadata({
 | 
			
		||||
  model,
 | 
			
		||||
  created
 | 
			
		||||
}) {
 | 
			
		||||
  return {
 | 
			
		||||
    modelId: model != null ? model : void 0,
 | 
			
		||||
    timestamp: created != null ? new Date(created * 1e3) : void 0
 | 
			
		||||
  };
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
// src/gigachat-prepare-tools.ts
 | 
			
		||||
var import_provider2 = require("@ai-sdk/provider");
 | 
			
		||||
function prepareTools(mode) {
 | 
			
		||||
  var _a;
 | 
			
		||||
  const tools = ((_a = mode.tools) == null ? void 0 : _a.length) ? mode.tools : void 0;
 | 
			
		||||
  const toolWarnings = [];
 | 
			
		||||
  if (tools == null) {
 | 
			
		||||
    return { tools: void 0, tool_choice: void 0, toolWarnings };
 | 
			
		||||
  }
 | 
			
		||||
  const gigachatTools = [];
 | 
			
		||||
  for (const tool of tools) {
 | 
			
		||||
    if (tool.type === "provider-defined") {
 | 
			
		||||
      toolWarnings.push({ type: "unsupported-tool", tool });
 | 
			
		||||
    } else {
 | 
			
		||||
      gigachatTools.push({
 | 
			
		||||
        type: "function",
 | 
			
		||||
        function: {
 | 
			
		||||
          name: tool.name,
 | 
			
		||||
          description: tool.description,
 | 
			
		||||
          parameters: tool.parameters
 | 
			
		||||
        }
 | 
			
		||||
      });
 | 
			
		||||
    }
 | 
			
		||||
  }
 | 
			
		||||
  const toolChoice = mode.toolChoice;
 | 
			
		||||
  if (toolChoice == null) {
 | 
			
		||||
    return { tools: gigachatTools, tool_choice: void 0, toolWarnings };
 | 
			
		||||
  }
 | 
			
		||||
  const type = toolChoice.type;
 | 
			
		||||
  switch (type) {
 | 
			
		||||
    case "auto":
 | 
			
		||||
    case "none":
 | 
			
		||||
      return { tools: gigachatTools, tool_choice: type, toolWarnings };
 | 
			
		||||
    case "required":
 | 
			
		||||
      return { tools: gigachatTools, tool_choice: "any", toolWarnings };
 | 
			
		||||
    // gigachat does not support tool mode directly,
 | 
			
		||||
    // so we filter the tools and force the tool choice through 'any'
 | 
			
		||||
    case "tool":
 | 
			
		||||
      return {
 | 
			
		||||
        tools: gigachatTools.filter((tool) => tool.function.name === toolChoice.toolName),
 | 
			
		||||
        tool_choice: "any",
 | 
			
		||||
        toolWarnings
 | 
			
		||||
      };
 | 
			
		||||
    default: {
 | 
			
		||||
      const _exhaustiveCheck = type;
 | 
			
		||||
      throw new import_provider2.UnsupportedFunctionalityError({
 | 
			
		||||
        functionality: `Unsupported tool choice type: ${_exhaustiveCheck}`
 | 
			
		||||
      });
 | 
			
		||||
    }
 | 
			
		||||
  }
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
// src/gigachat-chat-language-model.ts
 | 
			
		||||
var GigachatChatLanguageModel = class {
 | 
			
		||||
  constructor(modelId, settings, config) {
 | 
			
		||||
    this.specificationVersion = "v1";
 | 
			
		||||
    this.defaultObjectGenerationMode = "json";
 | 
			
		||||
    this.supportsImageUrls = false;
 | 
			
		||||
    this.modelId = modelId;
 | 
			
		||||
    this.settings = settings;
 | 
			
		||||
    this.config = config;
 | 
			
		||||
  }
 | 
			
		||||
  get provider() {
 | 
			
		||||
    return this.config.provider;
 | 
			
		||||
  }
 | 
			
		||||
  getArgs({
 | 
			
		||||
    mode,
 | 
			
		||||
    prompt,
 | 
			
		||||
    maxTokens,
 | 
			
		||||
    temperature,
 | 
			
		||||
    topP,
 | 
			
		||||
    topK,
 | 
			
		||||
    frequencyPenalty,
 | 
			
		||||
    presencePenalty,
 | 
			
		||||
    stopSequences,
 | 
			
		||||
    responseFormat,
 | 
			
		||||
    seed
 | 
			
		||||
  }) {
 | 
			
		||||
    const type = mode.type;
 | 
			
		||||
    const warnings = [];
 | 
			
		||||
    if (topK != null) {
 | 
			
		||||
      warnings.push({
 | 
			
		||||
        type: "unsupported-setting",
 | 
			
		||||
        setting: "topK"
 | 
			
		||||
      });
 | 
			
		||||
    }
 | 
			
		||||
    if (frequencyPenalty != null) {
 | 
			
		||||
      warnings.push({
 | 
			
		||||
        type: "unsupported-setting",
 | 
			
		||||
        setting: "frequencyPenalty"
 | 
			
		||||
      });
 | 
			
		||||
    }
 | 
			
		||||
    if (presencePenalty != null) {
 | 
			
		||||
      warnings.push({
 | 
			
		||||
        type: "unsupported-setting",
 | 
			
		||||
        setting: "presencePenalty"
 | 
			
		||||
      });
 | 
			
		||||
    }
 | 
			
		||||
    if (stopSequences != null) {
 | 
			
		||||
      warnings.push({
 | 
			
		||||
        type: "unsupported-setting",
 | 
			
		||||
        setting: "stopSequences"
 | 
			
		||||
      });
 | 
			
		||||
    }
 | 
			
		||||
    if (responseFormat != null && responseFormat.type === "json" && responseFormat.schema != null) {
 | 
			
		||||
      warnings.push({
 | 
			
		||||
        type: "unsupported-setting",
 | 
			
		||||
        setting: "responseFormat",
 | 
			
		||||
        details: "JSON response format schema is not supported"
 | 
			
		||||
      });
 | 
			
		||||
    }
 | 
			
		||||
    const baseArgs = {
 | 
			
		||||
      // model id:
 | 
			
		||||
      model: this.modelId,
 | 
			
		||||
      // model specific settings:
 | 
			
		||||
      stream: this.settings.stream,
 | 
			
		||||
      repetition_penalty: this.settings.repetition_penalty,
 | 
			
		||||
      update_interval: this.settings.update_interval,
 | 
			
		||||
      // standardized settings:
 | 
			
		||||
      max_tokens: maxTokens,
 | 
			
		||||
      temperature,
 | 
			
		||||
      top_p: topP,
 | 
			
		||||
      // response format:
 | 
			
		||||
      response_format: (responseFormat == null ? void 0 : responseFormat.type) === "json" ? { type: "json_object" } : void 0,
 | 
			
		||||
      // messages:
 | 
			
		||||
      messages: convertToGigachatChatMessages(prompt)
 | 
			
		||||
    };
 | 
			
		||||
    switch (type) {
 | 
			
		||||
      case "regular": {
 | 
			
		||||
        const { tools, tool_choice, toolWarnings } = prepareTools(mode);
 | 
			
		||||
        return {
 | 
			
		||||
          args: { ...baseArgs, tools, tool_choice },
 | 
			
		||||
          warnings: [...warnings, ...toolWarnings]
 | 
			
		||||
        };
 | 
			
		||||
      }
 | 
			
		||||
      case "object-json": {
 | 
			
		||||
        return {
 | 
			
		||||
          args: {
 | 
			
		||||
            ...baseArgs,
 | 
			
		||||
            response_format: { type: "json_object" }
 | 
			
		||||
          },
 | 
			
		||||
          warnings
 | 
			
		||||
        };
 | 
			
		||||
      }
 | 
			
		||||
      case "object-tool": {
 | 
			
		||||
        return {
 | 
			
		||||
          args: {
 | 
			
		||||
            ...baseArgs,
 | 
			
		||||
            tool_choice: "any",
 | 
			
		||||
            tools: [{ type: "function", function: mode.tool }]
 | 
			
		||||
          },
 | 
			
		||||
          warnings
 | 
			
		||||
        };
 | 
			
		||||
      }
 | 
			
		||||
      default: {
 | 
			
		||||
        const _exhaustiveCheck = type;
 | 
			
		||||
        throw new Error(`Unsupported type: ${_exhaustiveCheck}`);
 | 
			
		||||
      }
 | 
			
		||||
    }
 | 
			
		||||
  }
 | 
			
		||||
  async doGenerate(options) {
 | 
			
		||||
    var _a;
 | 
			
		||||
    const { args, warnings } = this.getArgs(options);
 | 
			
		||||
    const { responseHeaders, value: response } = await (0, import_provider_utils2.postJsonToApi)({
 | 
			
		||||
      url: `${this.config.baseURL}/chat/completions`,
 | 
			
		||||
      headers: (0, import_provider_utils2.combineHeaders)(this.config.headers(), options.headers),
 | 
			
		||||
      body: args,
 | 
			
		||||
      failedResponseHandler: gigachatFailedResponseHandler,
 | 
			
		||||
      successfulResponseHandler: (0, import_provider_utils2.createJsonResponseHandler)(gigachatChatResponseSchema),
 | 
			
		||||
      abortSignal: options.abortSignal,
 | 
			
		||||
      fetch: this.config.fetch
 | 
			
		||||
    });
 | 
			
		||||
    const { messages: rawPrompt, ...rawSettings } = args;
 | 
			
		||||
    const choice = response.choices[0];
 | 
			
		||||
    let text = (_a = choice.message.content) != null ? _a : void 0;
 | 
			
		||||
    const lastMessage = rawPrompt[rawPrompt.length - 1];
 | 
			
		||||
    if (lastMessage.role === "assistant" && (text == null ? void 0 : text.startsWith(lastMessage.content))) {
 | 
			
		||||
      text = text.slice(lastMessage.content.length);
 | 
			
		||||
    }
 | 
			
		||||
    return {
 | 
			
		||||
      text,
 | 
			
		||||
      toolCalls: choice.message.function_call ? [
 | 
			
		||||
        {
 | 
			
		||||
          toolCallType: "function",
 | 
			
		||||
          toolCallId: choice.message.function_call.name,
 | 
			
		||||
          toolName: choice.message.function_call.name,
 | 
			
		||||
          args: JSON.stringify(choice.message.function_call.arguments)
 | 
			
		||||
        }
 | 
			
		||||
      ] : [],
 | 
			
		||||
      finishReason: mapGigachatFinishReason(choice.finish_reason),
 | 
			
		||||
      usage: {
 | 
			
		||||
        promptTokens: response.usage.prompt_tokens,
 | 
			
		||||
        completionTokens: response.usage.completion_tokens
 | 
			
		||||
      },
 | 
			
		||||
      rawCall: { rawPrompt, rawSettings },
 | 
			
		||||
      rawResponse: { headers: responseHeaders },
 | 
			
		||||
      request: { body: JSON.stringify(args) },
 | 
			
		||||
      response: getResponseMetadata(response),
 | 
			
		||||
      warnings
 | 
			
		||||
    };
 | 
			
		||||
  }
 | 
			
		||||
  async doStream(options) {
 | 
			
		||||
    const { args, warnings } = this.getArgs(options);
 | 
			
		||||
    const body = { ...args, stream: true };
 | 
			
		||||
    const { responseHeaders, value: response } = await (0, import_provider_utils2.postJsonToApi)({
 | 
			
		||||
      url: `${this.config.baseURL}/chat/completions`,
 | 
			
		||||
      headers: (0, import_provider_utils2.combineHeaders)(this.config.headers(), options.headers),
 | 
			
		||||
      body,
 | 
			
		||||
      failedResponseHandler: gigachatFailedResponseHandler,
 | 
			
		||||
      successfulResponseHandler: (0, import_provider_utils2.createEventSourceResponseHandler)(gigachatChatChunkSchema),
 | 
			
		||||
      abortSignal: options.abortSignal,
 | 
			
		||||
      fetch: this.config.fetch
 | 
			
		||||
    });
 | 
			
		||||
    const { messages: rawPrompt, ...rawSettings } = args;
 | 
			
		||||
    let finishReason = "unknown";
 | 
			
		||||
    let usage = {
 | 
			
		||||
      promptTokens: Number.NaN,
 | 
			
		||||
      completionTokens: Number.NaN
 | 
			
		||||
    };
 | 
			
		||||
    let chunkNumber = 0;
 | 
			
		||||
    let trimLeadingSpace = false;
 | 
			
		||||
    return {
 | 
			
		||||
      stream: response.pipeThrough(
 | 
			
		||||
        new TransformStream({
 | 
			
		||||
          transform(chunk, controller) {
 | 
			
		||||
            if (!chunk.success) {
 | 
			
		||||
              controller.enqueue({ type: "error", error: chunk.error });
 | 
			
		||||
              return;
 | 
			
		||||
            }
 | 
			
		||||
            chunkNumber++;
 | 
			
		||||
            const value = chunk.value;
 | 
			
		||||
            if (chunkNumber === 1) {
 | 
			
		||||
              controller.enqueue({
 | 
			
		||||
                type: "response-metadata",
 | 
			
		||||
                ...getResponseMetadata(value)
 | 
			
		||||
              });
 | 
			
		||||
            }
 | 
			
		||||
            if (value.usage != null) {
 | 
			
		||||
              usage = {
 | 
			
		||||
                promptTokens: value.usage.prompt_tokens,
 | 
			
		||||
                completionTokens: value.usage.completion_tokens
 | 
			
		||||
              };
 | 
			
		||||
            }
 | 
			
		||||
            const choice = value.choices[0];
 | 
			
		||||
            if ((choice == null ? void 0 : choice.finish_reason) != null) {
 | 
			
		||||
              finishReason = mapGigachatFinishReason(choice.finish_reason);
 | 
			
		||||
            }
 | 
			
		||||
            if ((choice == null ? void 0 : choice.delta) == null) {
 | 
			
		||||
              return;
 | 
			
		||||
            }
 | 
			
		||||
            const delta = choice.delta;
 | 
			
		||||
            if (chunkNumber <= 2) {
 | 
			
		||||
              const lastMessage = rawPrompt[rawPrompt.length - 1];
 | 
			
		||||
              if (lastMessage.role === "assistant" && delta.content === lastMessage.content.trimEnd()) {
 | 
			
		||||
                if (delta.content.length < lastMessage.content.length) {
 | 
			
		||||
                  trimLeadingSpace = true;
 | 
			
		||||
                }
 | 
			
		||||
                return;
 | 
			
		||||
              }
 | 
			
		||||
            }
 | 
			
		||||
            if (delta.content != null) {
 | 
			
		||||
              controller.enqueue({
 | 
			
		||||
                type: "text-delta",
 | 
			
		||||
                textDelta: trimLeadingSpace ? delta.content.trimStart() : delta.content
 | 
			
		||||
              });
 | 
			
		||||
              trimLeadingSpace = false;
 | 
			
		||||
            }
 | 
			
		||||
            if (delta.function_call != null) {
 | 
			
		||||
              controller.enqueue({
 | 
			
		||||
                type: "tool-call-delta",
 | 
			
		||||
                toolCallType: "function",
 | 
			
		||||
                toolCallId: delta.function_call.name,
 | 
			
		||||
                toolName: delta.function_call.name,
 | 
			
		||||
                argsTextDelta: JSON.stringify(delta.function_call.arguments)
 | 
			
		||||
              });
 | 
			
		||||
              controller.enqueue({
 | 
			
		||||
                type: "tool-call",
 | 
			
		||||
                toolCallType: "function",
 | 
			
		||||
                toolCallId: delta.function_call.name,
 | 
			
		||||
                toolName: delta.function_call.name,
 | 
			
		||||
                args: JSON.stringify(delta.function_call.arguments)
 | 
			
		||||
              });
 | 
			
		||||
            }
 | 
			
		||||
          },
 | 
			
		||||
          flush(controller) {
 | 
			
		||||
            controller.enqueue({ type: "finish", finishReason, usage });
 | 
			
		||||
          }
 | 
			
		||||
        })
 | 
			
		||||
      ),
 | 
			
		||||
      rawCall: { rawPrompt, rawSettings },
 | 
			
		||||
      rawResponse: { headers: responseHeaders },
 | 
			
		||||
      request: { body: JSON.stringify(body) },
 | 
			
		||||
      warnings
 | 
			
		||||
    };
 | 
			
		||||
  }
 | 
			
		||||
};
 | 
			
		||||
var gigachatChatResponseSchema = import_zod2.z.object({
 | 
			
		||||
  created: import_zod2.z.number().nullish(),
 | 
			
		||||
  model: import_zod2.z.string().nullish(),
 | 
			
		||||
  choices: import_zod2.z.array(
 | 
			
		||||
    import_zod2.z.object({
 | 
			
		||||
      message: import_zod2.z.object({
 | 
			
		||||
        role: import_zod2.z.literal("assistant"),
 | 
			
		||||
        content: import_zod2.z.string().nullable(),
 | 
			
		||||
        created: import_zod2.z.number().nullish(),
 | 
			
		||||
        name: import_zod2.z.string().nullish(),
 | 
			
		||||
        function_call: import_zod2.z.object({
 | 
			
		||||
          name: import_zod2.z.string(),
 | 
			
		||||
          arguments: import_zod2.z.record(import_zod2.z.any())
 | 
			
		||||
        }).nullish(),
 | 
			
		||||
        data_for_context: import_zod2.z.array(import_zod2.z.object({})).nullish()
 | 
			
		||||
      }),
 | 
			
		||||
      index: import_zod2.z.number(),
 | 
			
		||||
      finish_reason: import_zod2.z.string().nullish()
 | 
			
		||||
    })
 | 
			
		||||
  ),
 | 
			
		||||
  object: import_zod2.z.literal("chat.completion"),
 | 
			
		||||
  usage: import_zod2.z.object({
 | 
			
		||||
    prompt_tokens: import_zod2.z.number(),
 | 
			
		||||
    completion_tokens: import_zod2.z.number(),
 | 
			
		||||
    total_tokens: import_zod2.z.number()
 | 
			
		||||
  })
 | 
			
		||||
});
 | 
			
		||||
var gigachatChatChunkSchema = import_zod2.z.object({
 | 
			
		||||
  created: import_zod2.z.number().nullish(),
 | 
			
		||||
  model: import_zod2.z.string().nullish(),
 | 
			
		||||
  object: import_zod2.z.literal("chat.completion"),
 | 
			
		||||
  choices: import_zod2.z.array(
 | 
			
		||||
    import_zod2.z.object({
 | 
			
		||||
      delta: import_zod2.z.object({
 | 
			
		||||
        role: import_zod2.z.enum(["assistant"]).optional(),
 | 
			
		||||
        content: import_zod2.z.string().nullish(),
 | 
			
		||||
        functions_state_id: import_zod2.z.string().nullish(),
 | 
			
		||||
        function_call: import_zod2.z.object({
 | 
			
		||||
          name: import_zod2.z.string(),
 | 
			
		||||
          arguments: import_zod2.z.object({})
 | 
			
		||||
        }).nullish()
 | 
			
		||||
      }),
 | 
			
		||||
      finish_reason: import_zod2.z.string().nullish(),
 | 
			
		||||
      index: import_zod2.z.number()
 | 
			
		||||
    })
 | 
			
		||||
  ),
 | 
			
		||||
  usage: import_zod2.z.object({
 | 
			
		||||
    prompt_tokens: import_zod2.z.number(),
 | 
			
		||||
    completion_tokens: import_zod2.z.number()
 | 
			
		||||
  }).nullish()
 | 
			
		||||
});
 | 
			
		||||
 | 
			
		||||
// src/gigachat-embedding-model.ts
 | 
			
		||||
var import_provider3 = require("@ai-sdk/provider");
 | 
			
		||||
var import_provider_utils3 = require("@ai-sdk/provider-utils");
 | 
			
		||||
var import_zod3 = require("zod");
 | 
			
		||||
var GigachatEmbeddingModel = class {
 | 
			
		||||
  constructor(modelId, settings, config) {
 | 
			
		||||
    this.specificationVersion = "v1";
 | 
			
		||||
    this.modelId = modelId;
 | 
			
		||||
    this.settings = settings;
 | 
			
		||||
    this.config = config;
 | 
			
		||||
  }
 | 
			
		||||
  get provider() {
 | 
			
		||||
    return this.config.provider;
 | 
			
		||||
  }
 | 
			
		||||
  get maxEmbeddingsPerCall() {
 | 
			
		||||
    var _a;
 | 
			
		||||
    return (_a = this.settings.maxEmbeddingsPerCall) != null ? _a : 32;
 | 
			
		||||
  }
 | 
			
		||||
  get supportsParallelCalls() {
 | 
			
		||||
    var _a;
 | 
			
		||||
    return (_a = this.settings.supportsParallelCalls) != null ? _a : false;
 | 
			
		||||
  }
 | 
			
		||||
  async doEmbed({
 | 
			
		||||
    values,
 | 
			
		||||
    abortSignal,
 | 
			
		||||
    headers
 | 
			
		||||
  }) {
 | 
			
		||||
    if (values.length > this.maxEmbeddingsPerCall) {
 | 
			
		||||
      throw new import_provider3.TooManyEmbeddingValuesForCallError({
 | 
			
		||||
        provider: this.provider,
 | 
			
		||||
        modelId: this.modelId,
 | 
			
		||||
        maxEmbeddingsPerCall: this.maxEmbeddingsPerCall,
 | 
			
		||||
        values
 | 
			
		||||
      });
 | 
			
		||||
    }
 | 
			
		||||
    const { responseHeaders, value: response } = await (0, import_provider_utils3.postJsonToApi)({
 | 
			
		||||
      url: `${this.config.baseURL}/embeddings`,
 | 
			
		||||
      headers: (0, import_provider_utils3.combineHeaders)(this.config.headers(), headers),
 | 
			
		||||
      body: {
 | 
			
		||||
        model: this.modelId,
 | 
			
		||||
        input: values,
 | 
			
		||||
        encoding_format: "float"
 | 
			
		||||
      },
 | 
			
		||||
      failedResponseHandler: gigachatFailedResponseHandler,
 | 
			
		||||
      successfulResponseHandler: (0, import_provider_utils3.createJsonResponseHandler)(GigachatTextEmbeddingResponseSchema),
 | 
			
		||||
      abortSignal,
 | 
			
		||||
      fetch: this.config.fetch
 | 
			
		||||
    });
 | 
			
		||||
    return {
 | 
			
		||||
      embeddings: response.data.map((item) => item.embedding),
 | 
			
		||||
      usage: response.usage ? { tokens: response.usage.prompt_tokens } : void 0,
 | 
			
		||||
      rawResponse: { headers: responseHeaders }
 | 
			
		||||
    };
 | 
			
		||||
  }
 | 
			
		||||
};
 | 
			
		||||
var GigachatTextEmbeddingResponseSchema = import_zod3.z.object({
 | 
			
		||||
  data: import_zod3.z.array(import_zod3.z.object({ embedding: import_zod3.z.array(import_zod3.z.number()) })),
 | 
			
		||||
  usage: import_zod3.z.object({ prompt_tokens: import_zod3.z.number() }).nullish()
 | 
			
		||||
});
 | 
			
		||||
 | 
			
		||||
// src/gigachat-provider.ts
 | 
			
		||||
function createGigachat(options = {}) {
 | 
			
		||||
  var _a;
 | 
			
		||||
  const baseURL = (_a = (0, import_provider_utils4.withoutTrailingSlash)(options.baseURL)) != null ? _a : "https://gigachat.devices.sberbank.ru/api/v1";
 | 
			
		||||
  const getAccessToken = () => ({});
 | 
			
		||||
  const getHeaders = () => ({
 | 
			
		||||
    Authorization: `Bearer ${(0, import_provider_utils4.loadApiKey)({
 | 
			
		||||
      apiKey: options.apiKey,
 | 
			
		||||
      environmentVariableName: "GIGACHAT_ACCESS_TOKEN",
 | 
			
		||||
      description: "GigaChat"
 | 
			
		||||
    })}`,
 | 
			
		||||
    ...options.headers
 | 
			
		||||
  });
 | 
			
		||||
  const createChatModel = (modelId, settings = {}) => new GigachatChatLanguageModel(modelId, settings, {
 | 
			
		||||
    provider: "gigachat.chat",
 | 
			
		||||
    baseURL,
 | 
			
		||||
    headers: getHeaders,
 | 
			
		||||
    fetch: options.fetch
 | 
			
		||||
  });
 | 
			
		||||
  const createEmbeddingModel = (modelId, settings = {}) => new GigachatEmbeddingModel(modelId, settings, {
 | 
			
		||||
    provider: "gigachat.embedding",
 | 
			
		||||
    baseURL,
 | 
			
		||||
    headers: getHeaders,
 | 
			
		||||
    fetch: options.fetch
 | 
			
		||||
  });
 | 
			
		||||
  const provider = function(modelId, settings) {
 | 
			
		||||
    if (new.target) {
 | 
			
		||||
      throw new Error("Gigachat function cannot be called with the new keyword.");
 | 
			
		||||
    }
 | 
			
		||||
    return createChatModel(modelId, settings);
 | 
			
		||||
  };
 | 
			
		||||
  provider.languageModel = createChatModel;
 | 
			
		||||
  provider.chat = createChatModel;
 | 
			
		||||
  provider.embedding = createEmbeddingModel;
 | 
			
		||||
  provider.textEmbedding = createEmbeddingModel;
 | 
			
		||||
  provider.textEmbeddingModel = createEmbeddingModel;
 | 
			
		||||
  return provider;
 | 
			
		||||
}
 | 
			
		||||
var gigachat = createGigachat();
 | 
			
		||||
// Annotate the CommonJS export names for ESM import in node:
 | 
			
		||||
0 && (module.exports = {
 | 
			
		||||
  createGigachat,
 | 
			
		||||
  gigachat
 | 
			
		||||
});
 | 
			
		||||
//# sourceMappingURL=index.js.map
 | 
			
		||||
							
								
								
									
										144
									
								
								server/routers/kfu-m-24-1/eng-it-lean/gigachat/index.js
									
									
									
									
									
										Normal file
									
								
							
							
						
						
									
										144
									
								
								server/routers/kfu-m-24-1/eng-it-lean/gigachat/index.js
									
									
									
									
									
										Normal file
									
								
							@ -0,0 +1,144 @@
 | 
			
		||||
const axios = require('axios');
 | 
			
		||||
const https = require('https');
 | 
			
		||||
const fs = require('fs');
 | 
			
		||||
const qs = require('querystring');
 | 
			
		||||
const uuid = require('uuid');
 | 
			
		||||
 | 
			
		||||
const router = require('express').Router();
 | 
			
		||||
 | 
			
		||||
// vercel/ai package
 | 
			
		||||
const ai = require('./ai');
 | 
			
		||||
// gigachat provider for vercel/ai
 | 
			
		||||
const gigachatProvider = require('./gigachat');
 | 
			
		||||
 | 
			
		||||
module.exports = router;
 | 
			
		||||
 | 
			
		||||
const path = require('path');
 | 
			
		||||
//process.env.NODE_EXTRA_CA_CERTS= path.resolve(__dirname, 'certs')
 | 
			
		||||
//process.env.NODE_TLS_REJECT_UNAUTHORIZED = '0'
 | 
			
		||||
 | 
			
		||||
process.env.GIGACHAT_AUTH =
 | 
			
		||||
  'NWVjYTczYjctNWRkYi00NzExLTg0YTEtMjhlOWVmODM2MjI4OjlmMTBkMGVkLWZjZjktNGZhOS1hNDZjLTc5ZWU1YzExOGExMw==';
 | 
			
		||||
 | 
			
		||||
const agent = new https.Agent({
 | 
			
		||||
  rejectUnauthorized: false
 | 
			
		||||
});
 | 
			
		||||
 | 
			
		||||
const gigachat = gigachatProvider.createGigachat({
 | 
			
		||||
  headers: {
 | 
			
		||||
    'Content-Type': 'application/json',
 | 
			
		||||
    Accept: 'text/event-stream'
 | 
			
		||||
  },
 | 
			
		||||
  fetch: (url, options) => {
 | 
			
		||||
    return axios({
 | 
			
		||||
      method: 'post',
 | 
			
		||||
      maxBodyLength: Infinity,
 | 
			
		||||
      url: url,
 | 
			
		||||
      headers: options.headers,
 | 
			
		||||
      httpsAgent: agent,
 | 
			
		||||
      data: options.body
 | 
			
		||||
    }).then((response) => {
 | 
			
		||||
      return new Response(response.data, {
 | 
			
		||||
        status: response.status,
 | 
			
		||||
        statusText: response.statusText,
 | 
			
		||||
        headers: response.headers,
 | 
			
		||||
        body: response.data
 | 
			
		||||
      });
 | 
			
		||||
    }).catch((error) => {
 | 
			
		||||
      return new Response(error.message, {
 | 
			
		||||
        status: error.response.status,
 | 
			
		||||
        statusText: error.response.statusText,
 | 
			
		||||
        headers: error.response.headers,
 | 
			
		||||
        body: error.response.data
 | 
			
		||||
      });
 | 
			
		||||
    });
 | 
			
		||||
  }
 | 
			
		||||
});
 | 
			
		||||
 | 
			
		||||
router.use(async (req, res, next) => {
 | 
			
		||||
  const hasToken = process.env.GIGACHAT_ACCESS_TOKEN && process.env.GIGACHAT_EXPIRES_AT != null;
 | 
			
		||||
  const hasExpired = new Date(process.env.GIGACHAT_EXPIRES_AT) <= new Date();
 | 
			
		||||
  if (!hasToken || hasExpired) {
 | 
			
		||||
    let auth = process.env.GIGACHAT_AUTH;
 | 
			
		||||
    let rquid = uuid.v4();
 | 
			
		||||
 | 
			
		||||
    let config = {
 | 
			
		||||
      method: 'post',
 | 
			
		||||
      maxBodyLength: Infinity,
 | 
			
		||||
      url: 'https://ngw.devices.sberbank.ru:9443/api/v2/oauth',
 | 
			
		||||
      headers: {
 | 
			
		||||
        'Content-Type': 'application/x-www-form-urlencoded',
 | 
			
		||||
        Accept: 'application/json',
 | 
			
		||||
        RqUID: rquid,
 | 
			
		||||
        Authorization: 'Basic ' + auth
 | 
			
		||||
      },
 | 
			
		||||
      httpsAgent: agent,
 | 
			
		||||
      data: qs.stringify({
 | 
			
		||||
        scope: 'GIGACHAT_API_PERS'
 | 
			
		||||
      })
 | 
			
		||||
    };
 | 
			
		||||
 | 
			
		||||
    try {
 | 
			
		||||
      const response = await axios(config);
 | 
			
		||||
      const json = response.data;
 | 
			
		||||
      process.env.GIGACHAT_ACCESS_TOKEN = json.access_token;
 | 
			
		||||
      process.env.GIGACHAT_EXPIRES_AT = json.expires_at;
 | 
			
		||||
      console.log(JSON.stringify(response.data));
 | 
			
		||||
    } catch {
 | 
			
		||||
      console.log(error);
 | 
			
		||||
    }
 | 
			
		||||
  }
 | 
			
		||||
  next();
 | 
			
		||||
});
 | 
			
		||||
 | 
			
		||||
router.post('/chat', async (req, res) => {
 | 
			
		||||
  const { messages } = req.body;
 | 
			
		||||
 | 
			
		||||
  const result = ai.streamText({
 | 
			
		||||
    model: gigachat('GigaChat'),
 | 
			
		||||
    system: 'You are a helpful assistant.',
 | 
			
		||||
    messages,
 | 
			
		||||
    stream: true,
 | 
			
		||||
    update_interval: 0.2
 | 
			
		||||
  });
 | 
			
		||||
 | 
			
		||||
  result.pipeDataStreamToResponse(res);
 | 
			
		||||
});
 | 
			
		||||
 | 
			
		||||
router.post('/new-unit', async (req, res) => {
 | 
			
		||||
  const { prompt } = req.body;
 | 
			
		||||
 | 
			
		||||
  const systemMessage = `
 | 
			
		||||
    Я хочу, чтобы вы выступали в роли помощника для создания продвинутых текстовых уроков английского языка. Я буду указывать тему и уровень сложности (начинающий, средний, продвинутый), а вы будете предоставлять структурированный план урока в формате Markdown. Урок должен включать только текстовые элементы (без видео, картинок, аудио) и содержать следующие разделы:
 | 
			
		||||
    -Цель урока — конкретный навык или знание, которое освоят студенты.
 | 
			
		||||
    -Лексика
 | 
			
		||||
      -Базовые термины: 5-7 слов/фраз с примерами употребления.
 | 
			
		||||
      -Расширенная лексика: 3-5 идиом, фразовых глаголов или сложных выражений (для среднего/продвинутого уровня).
 | 
			
		||||
    -Грамматический фокус
 | 
			
		||||
      -Правило с пояснением и 3-5 примерами.
 | 
			
		||||
      -Типичные ошибки и как их избежать.
 | 
			
		||||
    -Контекстуализация
 | 
			
		||||
      -Короткий текст (диалог, статья, описание) для анализа с использованием лексики и грамматики урока.
 | 
			
		||||
    -Упражнения
 | 
			
		||||
      -Письменное задание: например, составить предложения/эссе по теме.
 | 
			
		||||
      -Устная практика: ролевые диалоги (текстовые сценарии), описание ситуаций.
 | 
			
		||||
      -Аналитическое задание: исправление ошибок в предложениях, перевод сложных конструкций.
 | 
			
		||||
    -Домашнее задание
 | 
			
		||||
      Текстовые задачи: написание текста, грамматические тесты, поиск синонимов/антонимов.
 | 
			
		||||
    Ответ должен быть оформлен в Markdown, лаконичным, без лишних комментариев, если пишешь блок кода, начинай его с новой строки.
 | 
			
		||||
    `;
 | 
			
		||||
 | 
			
		||||
  try {
 | 
			
		||||
    const result = ai.streamText({
 | 
			
		||||
      model: gigachat('GigaChat'),
 | 
			
		||||
      system: systemMessage,
 | 
			
		||||
      prompt,
 | 
			
		||||
      stream: true,
 | 
			
		||||
      update_interval: 0.3
 | 
			
		||||
    });
 | 
			
		||||
 | 
			
		||||
    result.pipeTextStreamToResponse(res);
 | 
			
		||||
  } catch (e) {
 | 
			
		||||
    console.log(e);
 | 
			
		||||
  }
 | 
			
		||||
});
 | 
			
		||||
@ -1,7 +1,8 @@
 | 
			
		||||
const router = require("express").Router();
 | 
			
		||||
const router = require('express').Router();
 | 
			
		||||
 | 
			
		||||
const dictionariesRouter = require("./dictionaries");
 | 
			
		||||
const dictionariesRouter = require('./dictionaries');
 | 
			
		||||
const unitsRouter = require('./units');
 | 
			
		||||
const gigachatRouter = require('./gigachat');
 | 
			
		||||
module.exports = router;
 | 
			
		||||
 | 
			
		||||
const delay =
 | 
			
		||||
@ -11,5 +12,6 @@ const delay =
 | 
			
		||||
  };
 | 
			
		||||
 | 
			
		||||
router.use(delay());
 | 
			
		||||
router.use("/dictionaries", dictionariesRouter);
 | 
			
		||||
router.use('/dictionaries', dictionariesRouter);
 | 
			
		||||
router.use('/units', unitsRouter);
 | 
			
		||||
router.use('/gigachat', gigachatRouter);
 | 
			
		||||
@ -0,0 +1,70 @@
 | 
			
		||||
### Цель урока:
 | 
			
		||||
Изучение ключевых слов и фраз, связанных с процессом трудоустройства, а также освоение базовой структуры диалога на собеседовании.
 | 
			
		||||
 | 
			
		||||
### Лексика:
 | 
			
		||||
**Базовая лексика:**
 | 
			
		||||
1. **Job interview** – собеседование при приеме на работу
 | 
			
		||||
2. **Resume / CV** – резюме
 | 
			
		||||
3. **Cover letter** – сопроводительное письмо
 | 
			
		||||
4. **Interviewer** – интервьюер
 | 
			
		||||
5. **Application form** – анкета при приеме на работу
 | 
			
		||||
6. **Salary** – зарплата
 | 
			
		||||
7. **Benefits** – льготы
 | 
			
		||||
 | 
			
		||||
**Расширенная лексика:**
 | 
			
		||||
1. **To apply for a job** – подавать заявку на работу
 | 
			
		||||
2. **To be offered the job** – получить предложение о работе
 | 
			
		||||
3. **To negotiate salary** – вести переговоры о зарплате
 | 
			
		||||
4. **To accept the offer** – принять предложение
 | 
			
		||||
5. **To decline the offer** – отклонить предложение
 | 
			
		||||
6. **To resign from your current position** – подать заявление об уходе с текущей работы
 | 
			
		||||
7. **To start working at the company** – начать работать в компании
 | 
			
		||||
8. **Probation period** – испытательный срок
 | 
			
		||||
9. **References** – рекомендации
 | 
			
		||||
10. **Work experience** – опыт работы
 | 
			
		||||
 | 
			
		||||
### Грамматический фокус:
 | 
			
		||||
**Правило:**
 | 
			
		||||
Структура простого вопроса на английском языке:
 | 
			
		||||
- Общий вопрос: "Do you have any questions?"
 | 
			
		||||
- Специальный вопрос: "What are your strengths and weaknesses?"
 | 
			
		||||
 | 
			
		||||
**Пример:**
 | 
			
		||||
Общий вопрос: "How do you feel about this job opportunity?"
 | 
			
		||||
Специальный вопрос: "Can you tell me about your previous work experience?"
 | 
			
		||||
 | 
			
		||||
**Типичные ошибки и как их избежать:**
 | 
			
		||||
Ошибка: Неправильное использование порядка слов в вопросах.
 | 
			
		||||
Решение: Практиковать построение вопросов до автоматизма.
 | 
			
		||||
 | 
			
		||||
### Контекстуализация:
 | 
			
		||||
**Текст для анализа:**
 | 
			
		||||
"I'm applying for the position of a marketing manager at XYZ Company. Here is my resume."
 | 
			
		||||
"Thank you for considering me. Can you please tell me more about the responsibilities of this role?"
 | 
			
		||||
"Sure, let me give you an overview."
 | 
			
		||||
 | 
			
		||||
### Упражнения:
 | 
			
		||||
**Письменное задание:**
 | 
			
		||||
Составьте список из 5 вопросов, которые вы бы задали на собеседовании. Используйте простые вопросы и специальные вопросы.
 | 
			
		||||
 | 
			
		||||
**Устная практика:**
 | 
			
		||||
Ролевая игра: один студент играет роль интервьюера, другой – кандидата на должность. Меняйтесь ролями.
 | 
			
		||||
 | 
			
		||||
**Аналитическое задание:**
 | 
			
		||||
Найдите и исправьте ошибки в следующем письме:
 | 
			
		||||
"Dear HR Manager,
 | 
			
		||||
 | 
			
		||||
My name is John Smith and I am writing to apply for the position of Sales Representative at ABC Inc. I enclose my resume for your review.
 | 
			
		||||
 | 
			
		||||
I believe that my skills and experiences make me an ideal candidate for this position. In my current role as a sales representative at XYZ Corp, I have consistently met or exceeded my sales targets. Additionally, I possess strong communication and negotiation skills which will enable me to effectively represent your products and services.
 | 
			
		||||
 | 
			
		||||
If you would like to schedule an interview, please contact me at your convenience. Thank you for your time and consideration.
 | 
			
		||||
 | 
			
		||||
Best regards,
 | 
			
		||||
John Smith"
 | 
			
		||||
 | 
			
		||||
### Домашнее задание:
 | 
			
		||||
**Текстовые задачи:**
 | 
			
		||||
1. Написать сопроводительное письмо для конкретной вакансии, используя расширенную лексику.
 | 
			
		||||
2. Составить резюме для воображаемой должности, включая все необходимые разделы.
 | 
			
		||||
3. Перевести текст собеседования на английский язык, сохраняя структуру и смысл.
 | 
			
		||||
							
								
								
									
										74
									
								
								server/routers/kfu-m-24-1/eng-it-lean/units/data/unit-2.md
									
									
									
									
									
										Normal file
									
								
							
							
						
						
									
										74
									
								
								server/routers/kfu-m-24-1/eng-it-lean/units/data/unit-2.md
									
									
									
									
									
										Normal file
									
								
							@ -0,0 +1,74 @@
 | 
			
		||||
# Цель урока
 | 
			
		||||
 | 
			
		||||
Изучение структуры документации программы с блоком кода.
 | 
			
		||||
 | 
			
		||||
## Лексика
 | 
			
		||||
 | 
			
		||||
### Базовая лексика:
 | 
			
		||||
 | 
			
		||||
- Documentation – документация
 | 
			
		||||
- Code block – блок кода
 | 
			
		||||
- Description – описание
 | 
			
		||||
- Function – функция
 | 
			
		||||
- Variable – переменная
 | 
			
		||||
- Comment – комментарий
 | 
			
		||||
 | 
			
		||||
### Расширенная лексика:
 | 
			
		||||
 | 
			
		||||
- API – интерфейс прикладного программирования
 | 
			
		||||
- Method – метод
 | 
			
		||||
- Class – класс
 | 
			
		||||
- Library – библиотека
 | 
			
		||||
- Framework – фреймворк
 | 
			
		||||
 | 
			
		||||
## Грамматический фокус
 | 
			
		||||
 | 
			
		||||
Правило: Структура документации программы должна включать краткое описание, блок кода и примеры использования.
 | 
			
		||||
 | 
			
		||||
Пример:
 | 
			
		||||
 | 
			
		||||
Documentation for a program typically includes the following sections:
 | 
			
		||||
 | 
			
		||||
1. **Description**: A brief overview of what the program does and its purpose.
 | 
			
		||||
2. **Code Block**: The actual code that implements the functionality described in the first section.
 | 
			
		||||
3. **Examples**: One or more examples demonstrating how to use the features described in the documentation.
 | 
			
		||||
 | 
			
		||||
Типичные ошибки и как их избежать: Ошибки могут возникнуть из-за недостаточного описания функционала или неправильного форматирования кода. Чтобы избежать этого, важно тщательно проработать каждый раздел документации и убедиться, что все примеры корректны и понятны.
 | 
			
		||||
 | 
			
		||||
## Контекстуализация
 | 
			
		||||
 | 
			
		||||
Текст для анализа:
 | 
			
		||||
 | 
			
		||||
**Description**: This is a simple Python script that calculates the average value of a list of numbers.
 | 
			
		||||
 | 
			
		||||
**Code Block**: 
 | 
			
		||||
```python
 | 
			
		||||
def calculate_average(numbers):
 | 
			
		||||
    """Calculate the average value of a list of numbers"""
 | 
			
		||||
    return sum(numbers)/len(numbers)
 | 
			
		||||
```
 | 
			
		||||
 | 
			
		||||
Примеры использования:
 | 
			
		||||
 | 
			
		||||
```python
 | 
			
		||||
# Example usage
 | 
			
		||||
numbers = [10, 20, 30]
 | 
			
		||||
average = calculate_average(numbers)
 | 
			
		||||
print("The average value of the list", numbers, "is", average)
 | 
			
		||||
```
 | 
			
		||||
 | 
			
		||||
## Упражнения
 | 
			
		||||
 | 
			
		||||
Письменное задание: Написать документацию для простой функции на языке Python, которая принимает список чисел и возвращает среднее значение. Включить описание, код блока и пример использования.
 | 
			
		||||
 | 
			
		||||
Устная практика: Ролевой диалог между разработчиком и техническим писателем о структуре и содержании документации программы.
 | 
			
		||||
 | 
			
		||||
Аналитическое задание: Проанализировать существующую документацию программы и найти ошибки или неясности. Предложить улучшения.
 | 
			
		||||
 | 
			
		||||
## Домашнее задание
 | 
			
		||||
 | 
			
		||||
Текстовые задачи:
 | 
			
		||||
 | 
			
		||||
- Написать документацию для другой функции на языке Python, используя правильную структуру.
 | 
			
		||||
- Исправить ошибки в существующей документации программы.
 | 
			
		||||
- Перевести фрагмент документации на русский язык, сохраняя точность и стиль.
 | 
			
		||||
@ -1 +1 @@
 | 
			
		||||
[{"id":0,"filename":"unit-1","name":"Unit 1: Multifunctional Verbs: Be, Have, and Do"}]
 | 
			
		||||
[{"id":1,"filename":"unit-1","name":"Unit 1: Multifunctional Verbs: Be, Have, and Do"},{"id":2,"filename":"unit-2","name":"Документация программы"},{"id":3,"fileName":"job-interview","name":"Job Interview"}]
 | 
			
		||||
@ -10,17 +10,21 @@ router.get('/', (req, res) => {
 | 
			
		||||
});
 | 
			
		||||
 | 
			
		||||
router.put('/', (req, res) => {
 | 
			
		||||
	const newUnit = req.body
 | 
			
		||||
  const newUnit = req.body;
 | 
			
		||||
 | 
			
		||||
  if (!newUnit) {
 | 
			
		||||
		return res.status(400).send('No new unit to be added')
 | 
			
		||||
    return res.status(400).send('No new unit to be added');
 | 
			
		||||
  }
 | 
			
		||||
 | 
			
		||||
  if (!data) {
 | 
			
		||||
		return res.status(500).send('No data to be updated')
 | 
			
		||||
    return res.status(500).send('No data to be updated');
 | 
			
		||||
  }
 | 
			
		||||
 | 
			
		||||
	data.push({ "id": data.length, ...newUnit })
 | 
			
		||||
  const newId = data.length + 1;
 | 
			
		||||
  const filename = newUnit.name.replace(/([a-z])([A-Z])/g, '$1-$2').toLowerCase();
 | 
			
		||||
  fs.writeFileSync(path.join(__dirname, 'data', `${filename}.md`), newUnit.content);
 | 
			
		||||
 | 
			
		||||
  data.push({ id: newId, filename: filename, name: newUnit.name });
 | 
			
		||||
 | 
			
		||||
  fs.writeFileSync(path.join(__dirname, 'data', 'units.json'), JSON.stringify(data));
 | 
			
		||||
  res.status(200).send(data);
 | 
			
		||||
 | 
			
		||||
							
								
								
									
										75
									
								
								server/routers/kfu-m-24-1/eng-it-lean/words/index.js
									
									
									
									
									
										Normal file
									
								
							
							
						
						
									
										75
									
								
								server/routers/kfu-m-24-1/eng-it-lean/words/index.js
									
									
									
									
									
										Normal file
									
								
							@ -0,0 +1,75 @@
 | 
			
		||||
const fs = require('fs');
 | 
			
		||||
const path = require('path');
 | 
			
		||||
const router = require("express").Router();
 | 
			
		||||
 | 
			
		||||
module.exports = router;
 | 
			
		||||
 | 
			
		||||
const words = require("../words/words.json");
 | 
			
		||||
 | 
			
		||||
router.get("/", (req, res) => {
 | 
			
		||||
  res.send(words);
 | 
			
		||||
});
 | 
			
		||||
 | 
			
		||||
router.put('/', (req, res) => {
 | 
			
		||||
  const newData = req.body;
 | 
			
		||||
  if (!newData) {
 | 
			
		||||
    return res.status(400).send('No data to add'); // Bad request
 | 
			
		||||
  }
 | 
			
		||||
  if (!words) {
 | 
			
		||||
    return res.status(500).send('No data to update'); // Internal server error
 | 
			
		||||
  }
 | 
			
		||||
  console.log(words.length)
 | 
			
		||||
  const indexedUpdatedData = { ...newData, id: words.length + 1 }; // Add the new word to the array
 | 
			
		||||
  console.log(indexedUpdatedData);
 | 
			
		||||
  words.push(indexedUpdatedData); // Add the new word to the array
 | 
			
		||||
  fs.writeFile(path.join(__dirname, 'words.json'), JSON.stringify(words), (err) => {
 | 
			
		||||
    if (err) {
 | 
			
		||||
      console.error(err); // Log the error
 | 
			
		||||
      return res.status(500).send('Error saving data');
 | 
			
		||||
    }
 | 
			
		||||
    res.status(200).json(indexedUpdatedData);
 | 
			
		||||
  });
 | 
			
		||||
});
 | 
			
		||||
 | 
			
		||||
router.get("/:id", (req, res) => {
 | 
			
		||||
  const id = parseInt(req.params.id);
 | 
			
		||||
  
 | 
			
		||||
  if (!id || isNaN(id)) {
 | 
			
		||||
    return res.status(400).send('Invalid ID'); // Bad request
 | 
			
		||||
  }
 | 
			
		||||
 | 
			
		||||
  if (!words) {
 | 
			
		||||
    return res.status(500).send('No data to update'); // Internal server error
 | 
			
		||||
  }
 | 
			
		||||
  const word = words.find((word) => word.id === id);
 | 
			
		||||
 | 
			
		||||
  if (!word) {
 | 
			
		||||
    return res.status(404).send("Not found");
 | 
			
		||||
  }
 | 
			
		||||
  res.send(word);
 | 
			
		||||
});
 | 
			
		||||
 | 
			
		||||
router.delete("/:id", (req, res) => {
 | 
			
		||||
  const id = parseInt(req.params.id);
 | 
			
		||||
  if (!id || isNaN(id)) {
 | 
			
		||||
    return res.status(400).send('Invalid ID'); // Bad request
 | 
			
		||||
  }
 | 
			
		||||
 | 
			
		||||
  const index = words.findIndex((word) => word.id === id);
 | 
			
		||||
  if (index < 0) {
 | 
			
		||||
    return res.status(404).send("Not found");
 | 
			
		||||
  }
 | 
			
		||||
  
 | 
			
		||||
  if (!words) {
 | 
			
		||||
    return res.status(500).send('No data to update'); // Internal server error
 | 
			
		||||
  }
 | 
			
		||||
 | 
			
		||||
  words.splice(index, 1);
 | 
			
		||||
  fs.writeFile(path.join(__dirname, 'words.json'), JSON.stringify(words), (err) => {
 | 
			
		||||
    if (err) {
 | 
			
		||||
      console.error(err); // Log the error
 | 
			
		||||
      return res.status(500).send('Error saving data');
 | 
			
		||||
    }
 | 
			
		||||
    res.send({ message: `Word with id ${id} deleted` });
 | 
			
		||||
  });
 | 
			
		||||
});
 | 
			
		||||
							
								
								
									
										136
									
								
								server/routers/kfu-m-24-1/eng-it-lean/words/words.json
									
									
									
									
									
										Normal file
									
								
							
							
						
						
									
										136
									
								
								server/routers/kfu-m-24-1/eng-it-lean/words/words.json
									
									
									
									
									
										Normal file
									
								
							@ -0,0 +1,136 @@
 | 
			
		||||
[
 | 
			
		||||
  {
 | 
			
		||||
    "id": 12,
 | 
			
		||||
    "word": "Tech",
 | 
			
		||||
    "definition": "short for technical, relating to the knowledge, machines, or methods used in science and industry. Tech is a whole industry, which includes IT",
 | 
			
		||||
    "examples": ["“As a DevOps engineer I have been working in Tech since 2020.”"],
 | 
			
		||||
    "synonyms": ["IT"]
 | 
			
		||||
  },
 | 
			
		||||
  {
 | 
			
		||||
    "id": 1,
 | 
			
		||||
    "word": "career path",
 | 
			
		||||
    "definition": "the series of jobs or roles that constitute a person's career, especially one in a particular field",
 | 
			
		||||
    "examples": ["“Technology is an evolving field with a variety of available career paths.”"],
 | 
			
		||||
    "synonyms": []
 | 
			
		||||
  },
 | 
			
		||||
  {
 | 
			
		||||
    "id": 2,
 | 
			
		||||
    "word": "Machine Learning",
 | 
			
		||||
    "translation": "Машинное обучение",
 | 
			
		||||
    "definition": "An approach to artificial intelligence where computers learn from data without being explicitly programmed.",
 | 
			
		||||
    "synonyms": ["Trainable Algorithms", "Automated Learning"],
 | 
			
		||||
    "examples": [
 | 
			
		||||
      "We used machine learning techniques to forecast product demand.",
 | 
			
		||||
      "The movie recommendation system is based on machine learning algorithms.",
 | 
			
		||||
      "Machine learning helped improve the accuracy of speech recognition in our application."
 | 
			
		||||
    ]
 | 
			
		||||
  },
 | 
			
		||||
  {
 | 
			
		||||
    "id": 3,
 | 
			
		||||
    "word": "Neural Network",
 | 
			
		||||
    "translation": "Нейронная сеть",
 | 
			
		||||
    "definition": "A mathematical model inspired by the structure and function of biological neural networks, consisting of interconnected nodes organized in layers that can process information.",
 | 
			
		||||
    "synonyms": ["Artificial Neural Network", "Deep Neural Network"],
 | 
			
		||||
    "examples": [
 | 
			
		||||
      "To process large amounts of data, we created a deep learning neural network.",
 | 
			
		||||
      "This neural network is capable of generating realistic images.",
 | 
			
		||||
      "Using neural networks significantly improved the quality of text translation."
 | 
			
		||||
    ]
 | 
			
		||||
  },
 | 
			
		||||
  {
 | 
			
		||||
    "id": 4,
 | 
			
		||||
    "word": "Algorithm",
 | 
			
		||||
    "translation": "Алгоритм",
 | 
			
		||||
    "definition": "A step-by-step procedure or set of instructions for solving a problem or performing a computation.",
 | 
			
		||||
    "synonyms": ["Procedure", "Method"],
 | 
			
		||||
    "examples": [
 | 
			
		||||
      "The algorithm we developed quickly finds the optimal delivery route.",
 | 
			
		||||
      "This algorithm sorts an array with a minimal number of operations.",
 | 
			
		||||
      "Encryption algorithms ensure secure transmission of data over the internet."
 | 
			
		||||
    ]
 | 
			
		||||
  },
 | 
			
		||||
  {
 | 
			
		||||
    "id": 5,
 | 
			
		||||
    "word": "Data Model",
 | 
			
		||||
    "translation": "Модель данных",
 | 
			
		||||
    "definition": "An abstract representation of the structure of data, describing how data is organized and related to each other.",
 | 
			
		||||
    "synonyms": ["Data Structure", "Schema"],
 | 
			
		||||
    "examples": [
 | 
			
		||||
      "Our data model allows us to efficiently manage relationships between customers and orders.",
 | 
			
		||||
      "The data model was designed considering scalability and performance requirements.",
 | 
			
		||||
      "This data model is used for storing information about social network users."
 | 
			
		||||
    ]
 | 
			
		||||
  },
 | 
			
		||||
  {
 | 
			
		||||
    "id": 6,
 | 
			
		||||
    "word": "Regression",
 | 
			
		||||
    "translation": "Регрессия",
 | 
			
		||||
    "definition": "A statistical method used to determine the relationship between one variable and others.",
 | 
			
		||||
    "synonyms": ["Linear Regression", "Nonlinear Regression"],
 | 
			
		||||
    "examples": [
 | 
			
		||||
      "We applied linear regression to analyze the impact of advertising campaigns on sales.",
 | 
			
		||||
      "Results from the regression analysis showed a strong correlation between customer age and purchase frequency.",
 | 
			
		||||
      "Regression helped us assess how changes in environmental conditions affect crop yield."
 | 
			
		||||
    ]
 | 
			
		||||
  },
 | 
			
		||||
  {
 | 
			
		||||
    "id": 7,
 | 
			
		||||
    "word": "Clustering",
 | 
			
		||||
    "translation": "Кластеризация",
 | 
			
		||||
    "definition": "The process of grouping similar objects into clusters so that objects within the same cluster are more similar to each other than to those in other clusters.",
 | 
			
		||||
    "synonyms": ["Grouping", "Segmentation"],
 | 
			
		||||
    "examples": [
 | 
			
		||||
      "Clustering allowed us to divide customers into several groups according to their purchasing behavior.",
 | 
			
		||||
      "Clustering methods are used to automatically group news by topic.",
 | 
			
		||||
      "As a result of clustering, several market segments were identified, each with its own characteristics."
 | 
			
		||||
    ]
 | 
			
		||||
  },
 | 
			
		||||
  {
 | 
			
		||||
    "id": 8,
 | 
			
		||||
    "word": "Supervised Learning",
 | 
			
		||||
    "translation": "Обучение с учителем",
 | 
			
		||||
    "definition": "A type of machine learning where the algorithm learns from labeled data, meaning data for which correct answers are known.",
 | 
			
		||||
    "synonyms": ["Controlled Learning", "Labeled Classification"],
 | 
			
		||||
    "examples": [
 | 
			
		||||
      "Supervised learning is used to classify emails as spam or not-spam.",
 | 
			
		||||
      "This approach was used to create a model that predicts real estate prices based on multiple parameters.",
 | 
			
		||||
      "Supervised learning helps diagnose diseases at early stages through medical data analysis."
 | 
			
		||||
    ]
 | 
			
		||||
  },
 | 
			
		||||
  {
 | 
			
		||||
    "id": 9,
 | 
			
		||||
    "word": "Data Labeling",
 | 
			
		||||
    "translation": "Разметка данных",
 | 
			
		||||
    "definition": "The process of assigning labels or classes to data so it can be used in supervised learning.",
 | 
			
		||||
    "synonyms": ["Data Annotation", "Tagging"],
 | 
			
		||||
    "examples": [
 | 
			
		||||
      "Before starting model training, we labeled the data by assigning each photo an animal category.",
 | 
			
		||||
      "Data labeling includes marking user reviews as positive or negative.",
 | 
			
		||||
      "Text documents were labeled with special tags for subsequent analysis."
 | 
			
		||||
    ]
 | 
			
		||||
  },
 | 
			
		||||
  {
 | 
			
		||||
    "id": 10,
 | 
			
		||||
    "word": "Hyperparameters",
 | 
			
		||||
    "translation": "Гиперпараметры",
 | 
			
		||||
    "definition": "Parameters that define the structure and behavior of a machine learning model, set before the learning process begins.",
 | 
			
		||||
    "synonyms": ["Model Settings", "Configuration Parameters"],
 | 
			
		||||
    "examples": [
 | 
			
		||||
      "Optimizing hyperparameters enabled us to enhance the performance of our machine learning model.",
 | 
			
		||||
      "Hyperparameters include settings such as the number of layers in a neural network and the learning rate.",
 | 
			
		||||
      "Choosing the right hyperparameters is crucial for achieving high model accuracy."
 | 
			
		||||
    ]
 | 
			
		||||
  },
 | 
			
		||||
  {
 | 
			
		||||
    "id": 11,
 | 
			
		||||
    "word": "Model Validation",
 | 
			
		||||
    "translation": "Валидация модели",
 | 
			
		||||
    "definition": "The process of evaluating the quality of a model by testing it on new, previously unseen data.",
 | 
			
		||||
    "synonyms": ["Model Testing", "Model Verification"],
 | 
			
		||||
    "examples": [
 | 
			
		||||
      "After completing the training, we validated the model using a test dataset.",
 | 
			
		||||
      "During model validation, its ability to make accurate predictions on new data is checked.",
 | 
			
		||||
      "Validation showed that the model is robust against changes in data and has low generalization error."
 | 
			
		||||
    ]
 | 
			
		||||
  }
 | 
			
		||||
]
 | 
			
		||||
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		Reference in New Issue
	
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