Global rework
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.gitignore
vendored
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.gitignore
vendored
@ -10,3 +10,5 @@ wheels/
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.venv
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.env
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*.db
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*.sqlite3
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embeddings
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@ -1,58 +0,0 @@
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import os
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from langchain.agents import create_agent
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from langchain_openai import ChatOpenAI
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from langgraph.checkpoint.memory import InMemorySaver
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from langchain_community.vectorstores import Clickhouse, ClickhouseSettings
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from langchain_community.embeddings import DeepInfraEmbeddings
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from redis import Redis
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from redis.asyncio import Redis as AsyncRedis
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SYSTEM_PROMPT = """
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Ты — карьерный копилот для ИТ. Ты можешь отвечать на любые вопросы по тематике карьеры.
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При необходимости тебе доступно резюме пользователя и база с вакансиями. Обращайся к ним только если это явно требуется.
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Пиши кратко (до 5–6 строк, буллеты приветствуются).
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Всегда проверяй факты: бери данные о вакансиях только из контекста.
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В ответ всегда давай несколько источники: ссылка на публичный канал или сообщение в телеграмме.
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Вакансии можно брать только из контекста. Не давай вакансию, если у тебя нет о ней информации в контексте.
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Всегда указывай дату вакансии и ссылку на нее.
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Если данных недостаточно: честно скажи «не хватает надёжных источников», предложи расширить период/переформулировать.
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После полезного ответа предложи один мягкий следующий шаг.
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Отвечай простым текстом, не используй форматирование markdown.
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Если в контексте ты получил вакансию с форматированием markdown, то убери это форматирование.
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Не ищи вакансии, если этого явно не требуется в запросе пользователя.
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"""
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redis = Redis(host=os.getenv("REDIS_HOST", "127.0.0.1"))
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async_redis = AsyncRedis(host=os.getenv("REDIS_HOST", "127.0.0.1"))
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llm = ChatOpenAI(model_name="gpt-5-mini", reasoning_effort="minimal")
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embedding = DeepInfraEmbeddings(model_id="Qwen/Qwen3-Embedding-8B")
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vectorstore = Clickhouse(embedding, ClickhouseSettings(
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host=os.getenv("CLICKHOUSE_HOST", "127.0.0.1"),
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port=8123,
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username="default",
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password="",
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index_type="vector_similarity",
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))
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def get_relevant_vacancies(requirements: str):
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"""Получает релевантные вакансии из базы данных по переданным требованиям."""
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formatted_vacancies = ""
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for document in vectorstore.similarity_search(requirements, k=5):
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url = f"https://t.me/c/{document.metadata['chat_id']}/{document.metadata['telegram_id']}"
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formatted_vacancies += f"Ссылка: {url}\n{document.page_content}"
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return formatted_vacancies
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def get_user_resume(user_id: int):
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"""Получает резюме пользователя для подбора вакансий."""
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resume_bytes = redis.get(user_id)
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return resume_bytes.decode("utf-8") if resume_bytes else ""
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agent = create_agent(
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model=llm,
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tools=[get_relevant_vacancies, get_user_resume],
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system_prompt=SYSTEM_PROMPT,
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checkpointer=InMemorySaver(),
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)
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@ -1,78 +0,0 @@
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import sys
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sys.path.append(".")
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import asyncio
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import os
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import io
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import traceback
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from telegram import Update, ReplyKeyboardMarkup
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from telegram.ext import filters, ApplicationBuilder, MessageHandler, CommandHandler, ContextTypes
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from backend.agent import agent, async_redis
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from pypdf import PdfReader
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VACANCIES = "👥 Вакансии"
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RESUME = "📄 Резюме"
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async def start(update: Update, context: ContextTypes.DEFAULT_TYPE):
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text = "Привет! Я карьерный копилот: помогу с работой, интервью и расскажу новости по рынку, специально для тебя. С чего начнем?"
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reply_markup = ReplyKeyboardMarkup([[VACANCIES, RESUME]], resize_keyboard=True, one_time_keyboard=False)
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await context.bot.send_message(chat_id=update.effective_chat.id, text=text, reply_markup=reply_markup)
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async def prompt(update: Update, context: ContextTypes.DEFAULT_TYPE):
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if update.message.text == RESUME:
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resume = await async_redis.get(update.effective_user.id)
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text = "Пришли мне файл с твоим резюме, чтобы я смог найти подходящие вакансии на основе твоих компетенций!"
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if resume:
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text = "Я уже получил твое резюме. Если хочешь его обновить, пришли мне новый файл!"
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await context.bot.send_message(update.effective_chat.id, text)
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return
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user_prompt = update.message.text
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if update.message.text == VACANCIES:
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user_prompt = "Пришли мне актуальные вакансии на основе моего резюме"
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message = await context.bot.send_message(update.effective_chat.id, "📝 Обрабатываю твой запрос. Пожалуйста, подождите...")
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response = await asyncio.to_thread(
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agent.invoke,
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input={"messages": [{"role": "user", "content": f"user_id = {update.effective_user.id}\n{user_prompt}"}]},
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config={"configurable": {"thread_id": update.effective_user.id}},
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)
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await context.bot.editMessageText(response['messages'][-1].content, update.effective_chat.id, message.id)
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async def error_handler(update: object, context: ContextTypes.DEFAULT_TYPE) -> None:
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traceback.print_exception(context.error)
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await context.bot.send_message(chat_id=update.effective_chat.id, text="Произошла ошибка. Повтоите попытку позже.")
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async def handle_document(update: Update, context: ContextTypes.DEFAULT_TYPE):
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if not update.message.document:
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await context.bot.send_message(chat_id=update.effective_chat.id, text="Не удалось прочитать информацию из файла! Попробуйте другой формат.")
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return
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buffer = io.BytesIO()
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file = await update.message.document.get_file()
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await file.download_to_memory(buffer)
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reader = PdfReader(buffer)
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resume = "\n".join(page.extract_text() for page in reader.pages)
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await async_redis.set(update.effective_user.id, resume)
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await context.bot.send_message(chat_id=update.effective_chat.id, text="Отлично! Запомнил Ваше резюме.")
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def main():
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application = ApplicationBuilder().token(os.environ["BOT_TOKEN"]).build()
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start_handler = CommandHandler('start', start)
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application.add_handler(start_handler)
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application.add_handler(MessageHandler(filters.TEXT & (~filters.COMMAND), prompt))
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application.add_handler(MessageHandler((filters.Document.ALL | filters.PHOTO) & (~filters.COMMAND), handle_document))
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application.add_error_handler(error_handler)
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application.run_polling()
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if __name__ == '__main__':
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main()
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@ -1,31 +0,0 @@
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import sys
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sys.path.append(".")
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from backend.agent import vectorstore
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from langchain_core.documents import Document
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import clickhouse_connect
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query = """
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SELECT id, chat_id, telegram_id, message, timestamp
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FROM telegram_parser_chatmessage
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WHERE timestamp >= now() - INTERVAL 30 DAY
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AND length(message) > 150
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AND arrayCount(x -> position(message, x) > 0, [
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'вакансия', 'ищем', 'требуется', 'разработчик', 'будет плюсом',
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'зарплата', 'оклад', 'з/п', 'руб', 'опыт работы',
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'требования', 'обязанности', 'условия', 'компания', 'офис',
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'удаленно', 'гибкий график', 'полный день', 'частичная занятость',
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'резюме', 'собеседование', 'junior', 'middle', 'senior'
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]) >= 5
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"""
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client = clickhouse_connect.create_client(host="127.0.0.1", port=18123)
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documents = []
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for row in client.query(query).result_rows:
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(id, chat_id, telegram_id, message, timestamp) = row
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metadata = {"chat_id": chat_id, "telegram_id": telegram_id, "timestamp": timestamp.isoformat()}
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documents.append(Document(id=id, page_content=message, metadata=metadata))
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vectorstore.add_documents(documents)
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22
manage.py
Executable file
22
manage.py
Executable file
@ -0,0 +1,22 @@
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#!/usr/bin/env python
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"""Django's command-line utility for administrative tasks."""
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import os
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import sys
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def main():
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"""Run administrative tasks."""
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os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'vacancies.conf.settings')
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try:
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from django.core.management import execute_from_command_line
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except ImportError as exc:
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raise ImportError(
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"Couldn't import Django. Are you sure it's installed and "
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"available on your PYTHONPATH environment variable? Did you "
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"forget to activate a virtual environment?"
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) from exc
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execute_from_command_line(sys.argv)
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if __name__ == '__main__':
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main()
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@ -6,14 +6,10 @@ readme = "README.md"
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requires-python = ">=3.13"
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dependencies = [
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"clickhouse-connect>=0.9.2",
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"deepinfra>=0.1.0",
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"django>=5.2.7",
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"langchain>=0.3.27",
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"langchain-community>=0.3.31",
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"langchain-openai>=0.3.35",
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"langchain-qdrant>=1.1.0",
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"pypdf>=6.1.2",
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"python-telegram-bot>=22.5",
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"redis>=6.4.0",
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]
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[tool.uv.sources]
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langchain-community = { git = "https://github.com/estromenko/langchain-community", subdirectory = "libs/community", rev = "feat/add-vector-similarity-index-support" }
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697
uv.lock
697
uv.lock
@ -2,95 +2,6 @@ version = 1
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revision = 3
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requires-python = ">=3.13"
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[[package]]
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name = "aiohappyeyeballs"
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version = "2.6.1"
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source = { registry = "https://pypi.org/simple" }
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wheels = [
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[[package]]
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name = "aiohttp"
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version = "3.13.1"
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source = { registry = "https://pypi.org/simple" }
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dependencies = [
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{ name = "aiosignal" },
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{ name = "attrs" },
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{ name = "frozenlist" },
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{ name = "multidict" },
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{ name = "propcache" },
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{ name = "yarl" },
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]
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[[package]]
|
||||
name = "zstandard"
|
||||
version = "0.25.0"
|
||||
|
||||
0
vacancies/conf/__init__.py
Normal file
0
vacancies/conf/__init__.py
Normal file
123
vacancies/conf/settings.py
Normal file
123
vacancies/conf/settings.py
Normal file
@ -0,0 +1,123 @@
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"""
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Django settings for vacancies project.
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||||
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||||
Generated by 'django-admin startproject' using Django 5.2.7.
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||||
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||||
For more information on this file, see
|
||||
https://docs.djangoproject.com/en/5.2/topics/settings/
|
||||
|
||||
For the full list of settings and their values, see
|
||||
https://docs.djangoproject.com/en/5.2/ref/settings/
|
||||
"""
|
||||
|
||||
from pathlib import Path
|
||||
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||||
# Build paths inside the project like this: BASE_DIR / 'subdir'.
|
||||
BASE_DIR = Path(__file__).resolve().parent.parent.parent
|
||||
|
||||
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||||
# Quick-start development settings - unsuitable for production
|
||||
# See https://docs.djangoproject.com/en/5.2/howto/deployment/checklist/
|
||||
|
||||
# SECURITY WARNING: keep the secret key used in production secret!
|
||||
SECRET_KEY = 'django-insecure-2@p)nd+)sc8h6$u%&##=^mx8(k=lydz(hp)q7181ko_nly#vyp'
|
||||
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||||
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|
||||
DEBUG = True
|
||||
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||||
ALLOWED_HOSTS = []
|
||||
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||||
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||||
# Application definition
|
||||
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||||
INSTALLED_APPS = [
|
||||
'django.contrib.admin',
|
||||
'django.contrib.auth',
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||||
'django.contrib.contenttypes',
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||||
'django.contrib.sessions',
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||||
'django.contrib.staticfiles',
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||||
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||||
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||||
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MIDDLEWARE = [
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||||
'django.middleware.security.SecurityMiddleware',
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||||
'django.contrib.sessions.middleware.SessionMiddleware',
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'django.middleware.common.CommonMiddleware',
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'django.middleware.csrf.CsrfViewMiddleware',
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'django.contrib.messages.middleware.MessageMiddleware',
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'django.middleware.clickjacking.XFrameOptionsMiddleware',
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]
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||||
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||||
ROOT_URLCONF = 'vacancies.conf.urls'
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||||
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||||
TEMPLATES = [
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||||
{
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||||
'BACKEND': 'django.template.backends.django.DjangoTemplates',
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||||
'DIRS': [],
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||||
'APP_DIRS': True,
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'OPTIONS': {
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||||
'context_processors': [
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||||
'django.template.context_processors.request',
|
||||
'django.contrib.auth.context_processors.auth',
|
||||
'django.contrib.messages.context_processors.messages',
|
||||
],
|
||||
},
|
||||
},
|
||||
]
|
||||
|
||||
WSGI_APPLICATION = 'vacancies.conf.wsgi.application'
|
||||
|
||||
|
||||
# Database
|
||||
# https://docs.djangoproject.com/en/5.2/ref/settings/#databases
|
||||
|
||||
DATABASES = {
|
||||
'default': {
|
||||
'ENGINE': 'django.db.backends.sqlite3',
|
||||
'NAME': BASE_DIR / 'db.sqlite3',
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
# Password validation
|
||||
# https://docs.djangoproject.com/en/5.2/ref/settings/#auth-password-validators
|
||||
|
||||
AUTH_PASSWORD_VALIDATORS = [
|
||||
{
|
||||
'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
|
||||
},
|
||||
{
|
||||
'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
|
||||
},
|
||||
{
|
||||
'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
|
||||
},
|
||||
{
|
||||
'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
|
||||
},
|
||||
]
|
||||
|
||||
|
||||
# Internationalization
|
||||
# https://docs.djangoproject.com/en/5.2/topics/i18n/
|
||||
|
||||
LANGUAGE_CODE = 'en-us'
|
||||
|
||||
TIME_ZONE = 'UTC'
|
||||
|
||||
USE_I18N = True
|
||||
|
||||
USE_TZ = True
|
||||
|
||||
|
||||
# Static files (CSS, JavaScript, Images)
|
||||
# https://docs.djangoproject.com/en/5.2/howto/static-files/
|
||||
|
||||
STATIC_URL = 'static/'
|
||||
|
||||
# Default primary key field type
|
||||
# https://docs.djangoproject.com/en/5.2/ref/settings/#default-auto-field
|
||||
|
||||
DEFAULT_AUTO_FIELD = 'django.db.models.BigAutoField'
|
||||
22
vacancies/conf/urls.py
Normal file
22
vacancies/conf/urls.py
Normal file
@ -0,0 +1,22 @@
|
||||
"""
|
||||
URL configuration for vacancies project.
|
||||
|
||||
The `urlpatterns` list routes URLs to views. For more information please see:
|
||||
https://docs.djangoproject.com/en/5.2/topics/http/urls/
|
||||
Examples:
|
||||
Function views
|
||||
1. Add an import: from my_app import views
|
||||
2. Add a URL to urlpatterns: path('', views.home, name='home')
|
||||
Class-based views
|
||||
1. Add an import: from other_app.views import Home
|
||||
2. Add a URL to urlpatterns: path('', Home.as_view(), name='home')
|
||||
Including another URLconf
|
||||
1. Import the include() function: from django.urls import include, path
|
||||
2. Add a URL to urlpatterns: path('blog/', include('blog.urls'))
|
||||
"""
|
||||
from django.contrib import admin
|
||||
from django.urls import path
|
||||
|
||||
urlpatterns = [
|
||||
path('', admin.site.urls),
|
||||
]
|
||||
16
vacancies/conf/wsgi.py
Normal file
16
vacancies/conf/wsgi.py
Normal file
@ -0,0 +1,16 @@
|
||||
"""
|
||||
WSGI config for vacancies project.
|
||||
|
||||
It exposes the WSGI callable as a module-level variable named ``application``.
|
||||
|
||||
For more information on this file, see
|
||||
https://docs.djangoproject.com/en/5.2/howto/deployment/wsgi/
|
||||
"""
|
||||
|
||||
import os
|
||||
|
||||
from django.core.wsgi import get_wsgi_application
|
||||
|
||||
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'vacancies.conf.settings')
|
||||
|
||||
application = get_wsgi_application()
|
||||
0
vacancies/main/__init__.py
Normal file
0
vacancies/main/__init__.py
Normal file
21
vacancies/main/admin.py
Normal file
21
vacancies/main/admin.py
Normal file
@ -0,0 +1,21 @@
|
||||
from django.contrib import admin
|
||||
from vacancies.main import models
|
||||
|
||||
@admin.register(models.Vacancy)
|
||||
class VacancyAdmin(admin.ModelAdmin):
|
||||
pass
|
||||
|
||||
|
||||
@admin.register(models.Customer)
|
||||
class CustomerAdmin(admin.ModelAdmin):
|
||||
pass
|
||||
|
||||
|
||||
@admin.register(models.CustomerCV)
|
||||
class CustomerCVADMIN(admin.ModelAdmin):
|
||||
pass
|
||||
|
||||
|
||||
@admin.register(models.RecommendedVacancy)
|
||||
class RecommendedVacancyAdmin(admin.ModelAdmin):
|
||||
pass
|
||||
6
vacancies/main/apps.py
Normal file
6
vacancies/main/apps.py
Normal file
@ -0,0 +1,6 @@
|
||||
from django.apps import AppConfig
|
||||
|
||||
|
||||
class MainConfig(AppConfig):
|
||||
default_auto_field = 'django.db.models.BigAutoField'
|
||||
name = 'vacancies.main'
|
||||
86
vacancies/main/bot.py
Normal file
86
vacancies/main/bot.py
Normal file
@ -0,0 +1,86 @@
|
||||
import os
|
||||
import io
|
||||
import traceback
|
||||
from telegram import Update
|
||||
from telegram.ext import filters, ApplicationBuilder, MessageHandler, CommandHandler, ContextTypes
|
||||
from pypdf import PdfReader
|
||||
from vacancies.main.models import Customer, CustomerCV
|
||||
from langchain.agents import create_agent
|
||||
from langchain_openai import ChatOpenAI
|
||||
from langgraph.checkpoint.memory import InMemorySaver
|
||||
|
||||
SYSTEM_PROMPT = """
|
||||
Ты — карьерный копилот для ИТ. Ты можешь отвечать на любые вопросы по тематике карьеры.
|
||||
У тебя есть доступ к резюме пользователя при необходимости.
|
||||
Пиши кратко (до 5–6 строк, буллеты приветствуются).
|
||||
После полезного ответа предложи что-нибудь, чем ты можешь помочь еще.
|
||||
Отвечай простым текстом, не используй форматирование markdown.
|
||||
"""
|
||||
|
||||
|
||||
async def get_user_resume(user_id: int):
|
||||
"""Получает резюме пользователя для подбора вакансий."""
|
||||
customer_cv = await CustomerCV.objects.filter(customer__telegram_id=user_id).afirst()
|
||||
return customer_cv.content if customer_cv else ""
|
||||
|
||||
|
||||
agent = create_agent(
|
||||
model=ChatOpenAI(model_name="gpt-5-mini", reasoning_effort="minimal"),
|
||||
tools=[get_user_resume],
|
||||
system_prompt=SYSTEM_PROMPT,
|
||||
checkpointer=InMemorySaver(),
|
||||
)
|
||||
|
||||
|
||||
async def start(update: Update, context: ContextTypes.DEFAULT_TYPE):
|
||||
await Customer.objects.aget_or_create(
|
||||
telegram_id=update.effective_user.id,
|
||||
defaults=dict(
|
||||
username=update.effective_user.username,
|
||||
chat_id=update.effective_chat.id,
|
||||
),
|
||||
)
|
||||
text = "Привет! Я карьерный копилот: помогу с работой, интервью и расскажу новости по рынку, специально для тебя. С чего начнем?"
|
||||
await context.bot.send_message(chat_id=update.effective_chat.id, text=text)
|
||||
|
||||
|
||||
async def prompt(update: Update, context: ContextTypes.DEFAULT_TYPE):
|
||||
message = await context.bot.send_message(update.effective_chat.id, "📝 Обрабатываю твой запрос. Пожалуйста, подождите...")
|
||||
|
||||
response = await agent.ainvoke(
|
||||
input={"messages": [{"role": "user", "content": f'user_id = {update.effective_user.id}\n{update.message.text}'}]},
|
||||
config={"configurable": {"thread_id": update.effective_user.id}},
|
||||
)
|
||||
|
||||
await context.bot.editMessageText(response['messages'][-1].content, update.effective_chat.id, message.id)
|
||||
|
||||
|
||||
async def error_handler(update: object, context: ContextTypes.DEFAULT_TYPE) -> None:
|
||||
traceback.print_exception(context.error)
|
||||
await context.bot.send_message(chat_id=update.effective_chat.id, text="Произошла ошибка. Повтоите попытку позже.")
|
||||
|
||||
|
||||
async def handle_document(update: Update, context: ContextTypes.DEFAULT_TYPE):
|
||||
if not update.message.document:
|
||||
await context.bot.send_message(chat_id=update.effective_chat.id, text="Не удалось прочитать информацию из файла! Попробуйте другой формат.")
|
||||
return
|
||||
|
||||
buffer = io.BytesIO()
|
||||
file = await update.message.document.get_file()
|
||||
await file.download_to_memory(buffer)
|
||||
reader = PdfReader(buffer)
|
||||
resume = "\n".join(page.extract_text() for page in reader.pages)
|
||||
|
||||
customer = await Customer.objects.aget(telegram_id=update.effective_user.id)
|
||||
customer_cv, _ = await CustomerCV.objects.aupdate_or_create(customer=customer, defaults=dict(
|
||||
content=resume,
|
||||
))
|
||||
|
||||
await context.bot.send_message(chat_id=update.effective_chat.id, text="Отлично! Запомнил Ваше резюме.")
|
||||
|
||||
|
||||
application = ApplicationBuilder().token(os.environ["BOT_TOKEN"]).build()
|
||||
application.add_handler(CommandHandler('start', start))
|
||||
application.add_handler(MessageHandler(filters.TEXT & (~filters.COMMAND), prompt))
|
||||
application.add_handler(MessageHandler((filters.Document.ALL | filters.PHOTO) & (~filters.COMMAND), handle_document))
|
||||
application.add_error_handler(error_handler)
|
||||
0
vacancies/main/management/__init__.py
Normal file
0
vacancies/main/management/__init__.py
Normal file
0
vacancies/main/management/commands/__init__.py
Normal file
0
vacancies/main/management/commands/__init__.py
Normal file
@ -0,0 +1,41 @@
|
||||
from django.core.management import BaseCommand
|
||||
from vacancies.main.models import Vacancy
|
||||
import clickhouse_connect
|
||||
from langchain_core.documents import Document
|
||||
from vacancies.main.vector_store import vector_store
|
||||
|
||||
clickhouse_client = clickhouse_connect.create_client(host="127.0.0.1", port=18123)
|
||||
|
||||
query = """
|
||||
SELECT id, chat_id, telegram_id, message, timestamp
|
||||
FROM telegram_parser_chatmessage
|
||||
WHERE timestamp >= now() - INTERVAL 30 DAY
|
||||
AND length(message) > 150
|
||||
AND arrayCount(x -> position(message, x) > 0, [
|
||||
'вакансия', 'ищем', 'требуется', 'разработчик', 'будет плюсом',
|
||||
'зарплата', 'оклад', 'з/п', 'руб', 'опыт работы',
|
||||
'требования', 'обязанности', 'условия', 'компания', 'офис',
|
||||
'удаленно', 'гибкий график', 'полный день', 'частичная занятость',
|
||||
'резюме', 'собеседование', 'junior', 'middle', 'senior'
|
||||
]) >= 5 AND position(message, 'О себе') = 0 AND position(message, 'Обо мне') = 0 AND position(message, '#ищу') = 0
|
||||
"""
|
||||
|
||||
|
||||
class Command(BaseCommand):
|
||||
help = "Collect vacancies from telegram messages"
|
||||
|
||||
def handle(self, *args, **options):
|
||||
documents = []
|
||||
|
||||
for index, row in enumerate(clickhouse_client.query(query).result_rows):
|
||||
(id, chat_id, telegram_id, message, timestamp) = row
|
||||
|
||||
link = f"https://t.me/c/{chat_id}/{telegram_id}"
|
||||
vacancy = Vacancy.objects.create(name="test", content=message, link=link)
|
||||
|
||||
metadata = {"link": link, "vacancy_id": vacancy.id}
|
||||
documents.append(Document(page_content=message, metadata=metadata))
|
||||
|
||||
print(index, link)
|
||||
|
||||
vector_store.add_documents(documents)
|
||||
@ -0,0 +1,18 @@
|
||||
from django.core.management import BaseCommand
|
||||
from vacancies.main.vector_store import vector_store
|
||||
from vacancies.main.models import CustomerCV, RecommendedVacancy
|
||||
|
||||
|
||||
class Command(BaseCommand):
|
||||
help = "Generates new recommended vacancies"
|
||||
|
||||
def handle(self, *args, **options):
|
||||
customer_cvs = CustomerCV.objects.all()
|
||||
for customer_cv in customer_cvs:
|
||||
documents = vector_store.similarity_search(customer_cv.content, k=10)
|
||||
for document in documents:
|
||||
RecommendedVacancy.objects.get_or_create(
|
||||
customer=customer_cv.customer,
|
||||
vacancy_id=document.metadata["vacancy_id"],
|
||||
defaults=dict(is_shown=False),
|
||||
)
|
||||
9
vacancies/main/management/commands/runbot.py
Normal file
9
vacancies/main/management/commands/runbot.py
Normal file
@ -0,0 +1,9 @@
|
||||
from django.core.management import BaseCommand
|
||||
from vacancies.main.bot import application
|
||||
|
||||
|
||||
class Command(BaseCommand):
|
||||
help = "Run bot"
|
||||
|
||||
def handle(self, *args, **options):
|
||||
application.run_polling()
|
||||
@ -0,0 +1,25 @@
|
||||
import asyncio
|
||||
from django.core.management import BaseCommand
|
||||
from vacancies.main.models import RecommendedVacancy, Customer
|
||||
from vacancies.main.bot import application
|
||||
from telegram import InlineKeyboardButton, InlineKeyboardMarkup
|
||||
|
||||
|
||||
class Command(BaseCommand):
|
||||
help = "Sends recommended vacancies to customers"
|
||||
|
||||
def handle(self, *args, **options):
|
||||
for customer in Customer.objects.all():
|
||||
recommendation = RecommendedVacancy.objects.filter(is_shown=False).first()
|
||||
asyncio.run(application.bot.send_message(
|
||||
chat_id=recommendation.customer.chat_id,
|
||||
text=recommendation.vacancy.content,
|
||||
reply_markup=InlineKeyboardMarkup([[
|
||||
InlineKeyboardButton("Откликнуться", url=recommendation.vacancy.link),
|
||||
]]),
|
||||
))
|
||||
|
||||
print(recommendation.vacancy.name)
|
||||
|
||||
recommendation.is_shown = True
|
||||
recommendation.save(update_fields=["is_shown"])
|
||||
63
vacancies/main/migrations/0001_initial.py
Normal file
63
vacancies/main/migrations/0001_initial.py
Normal file
@ -0,0 +1,63 @@
|
||||
# Generated by Django 5.2.7 on 2025-10-24 12:12
|
||||
|
||||
import django.db.models.deletion
|
||||
from django.db import migrations, models
|
||||
|
||||
|
||||
class Migration(migrations.Migration):
|
||||
|
||||
initial = True
|
||||
|
||||
dependencies = [
|
||||
]
|
||||
|
||||
operations = [
|
||||
migrations.CreateModel(
|
||||
name='Customer',
|
||||
fields=[
|
||||
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
|
||||
('telegram_id', models.IntegerField()),
|
||||
('chat_id', models.IntegerField()),
|
||||
('username', models.CharField(max_length=64)),
|
||||
],
|
||||
options={
|
||||
'db_table': 'customers',
|
||||
},
|
||||
),
|
||||
migrations.CreateModel(
|
||||
name='Vacancy',
|
||||
fields=[
|
||||
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
|
||||
('name', models.CharField(max_length=255)),
|
||||
('content', models.TextField()),
|
||||
('link', models.URLField()),
|
||||
],
|
||||
options={
|
||||
'verbose_name_plural': 'Vacancies',
|
||||
'db_table': 'vacancies',
|
||||
},
|
||||
),
|
||||
migrations.CreateModel(
|
||||
name='CustomerCV',
|
||||
fields=[
|
||||
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
|
||||
('customer', models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, to='main.customer')),
|
||||
],
|
||||
options={
|
||||
'db_table': 'customer_vcs',
|
||||
},
|
||||
),
|
||||
migrations.CreateModel(
|
||||
name='RecommendedVacancy',
|
||||
fields=[
|
||||
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
|
||||
('is_shown', models.BooleanField(default=False)),
|
||||
('customer', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='main.customer')),
|
||||
('vacancy', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='main.vacancy')),
|
||||
],
|
||||
options={
|
||||
'verbose_name_plural': 'Recommended Vacancies',
|
||||
'db_table': 'recommended_vacancies',
|
||||
},
|
||||
),
|
||||
]
|
||||
@ -0,0 +1,44 @@
|
||||
# Generated by Django 5.2.7 on 2025-10-24 16:02
|
||||
|
||||
import django.utils.timezone
|
||||
from django.db import migrations, models
|
||||
|
||||
|
||||
class Migration(migrations.Migration):
|
||||
|
||||
dependencies = [
|
||||
('main', '0001_initial'),
|
||||
]
|
||||
|
||||
operations = [
|
||||
migrations.AddField(
|
||||
model_name='customer',
|
||||
name='created_at',
|
||||
field=models.DateTimeField(auto_now_add=True, default=django.utils.timezone.now),
|
||||
preserve_default=False,
|
||||
),
|
||||
migrations.AddField(
|
||||
model_name='customercv',
|
||||
name='content',
|
||||
field=models.TextField(default=''),
|
||||
preserve_default=False,
|
||||
),
|
||||
migrations.AddField(
|
||||
model_name='customercv',
|
||||
name='created_at',
|
||||
field=models.DateTimeField(auto_now_add=True, default=django.utils.timezone.now),
|
||||
preserve_default=False,
|
||||
),
|
||||
migrations.AddField(
|
||||
model_name='recommendedvacancy',
|
||||
name='created_at',
|
||||
field=models.DateTimeField(auto_now_add=True, default=django.utils.timezone.now),
|
||||
preserve_default=False,
|
||||
),
|
||||
migrations.AddField(
|
||||
model_name='vacancy',
|
||||
name='created_at',
|
||||
field=models.DateTimeField(auto_now_add=True, default=django.utils.timezone.now),
|
||||
preserve_default=False,
|
||||
),
|
||||
]
|
||||
0
vacancies/main/migrations/__init__.py
Normal file
0
vacancies/main/migrations/__init__.py
Normal file
62
vacancies/main/models.py
Normal file
62
vacancies/main/models.py
Normal file
@ -0,0 +1,62 @@
|
||||
from django.db import models
|
||||
|
||||
|
||||
class Customer(models.Model):
|
||||
telegram_id = models.IntegerField()
|
||||
chat_id = models.IntegerField()
|
||||
username = models.CharField(max_length=64)
|
||||
created_at = models.DateTimeField(auto_now_add=True)
|
||||
|
||||
objects = models.Manager()
|
||||
|
||||
def __str__(self):
|
||||
return self.username
|
||||
|
||||
class Meta:
|
||||
db_table = "customers"
|
||||
|
||||
|
||||
class CustomerCV(models.Model):
|
||||
customer = models.OneToOneField(Customer, on_delete=models.CASCADE)
|
||||
content = models.TextField()
|
||||
created_at = models.DateTimeField(auto_now_add=True)
|
||||
|
||||
objects = models.Manager()
|
||||
|
||||
def __str__(self):
|
||||
return self.customer.username
|
||||
|
||||
class Meta:
|
||||
db_table = "customer_vcs"
|
||||
|
||||
|
||||
class Vacancy(models.Model):
|
||||
name = models.CharField(max_length=255)
|
||||
content = models.TextField()
|
||||
link = models.URLField()
|
||||
created_at = models.DateTimeField(auto_now_add=True)
|
||||
|
||||
objects = models.Manager()
|
||||
|
||||
def __str__(self):
|
||||
return self.content[:100]
|
||||
|
||||
class Meta:
|
||||
verbose_name_plural = 'Vacancies'
|
||||
db_table = "vacancies"
|
||||
|
||||
|
||||
class RecommendedVacancy(models.Model):
|
||||
customer = models.ForeignKey(Customer, on_delete=models.CASCADE)
|
||||
vacancy = models.ForeignKey(Vacancy, on_delete=models.CASCADE)
|
||||
is_shown = models.BooleanField(default=False)
|
||||
created_at = models.DateTimeField(auto_now_add=True)
|
||||
|
||||
objects = models.Manager()
|
||||
|
||||
def __str__(self):
|
||||
return f'{self.customer.username} -> {self.vacancy.content}'
|
||||
|
||||
class Meta:
|
||||
verbose_name_plural = 'Recommended Vacancies'
|
||||
db_table = "recommended_vacancies"
|
||||
18
vacancies/main/vector_store.py
Normal file
18
vacancies/main/vector_store.py
Normal file
@ -0,0 +1,18 @@
|
||||
from qdrant_client.models import Distance, VectorParams
|
||||
from langchain_qdrant import QdrantVectorStore
|
||||
from langchain_openai import OpenAIEmbeddings
|
||||
from qdrant_client import QdrantClient
|
||||
|
||||
client = QdrantClient(path="./embeddings")
|
||||
|
||||
if not client.collection_exists("vacancies"):
|
||||
client.create_collection(
|
||||
collection_name="vacancies",
|
||||
vectors_config=VectorParams(size=3072, distance=Distance.COSINE)
|
||||
)
|
||||
|
||||
vector_store = QdrantVectorStore(
|
||||
client=client,
|
||||
collection_name="vacancies",
|
||||
embedding=OpenAIEmbeddings(model="text-embedding-3-large"),
|
||||
)
|
||||
Loading…
Reference in New Issue
Block a user