vacancies/main/bot.py

@@ -1,14 +1,12 @@
-import asyncio
 import io
 import os
+import asyncio
 import traceback
-from typing import Literal
 
 from asgiref.sync import sync_to_async
 from langchain.agents import create_agent
 from langchain_openai import ChatOpenAI
 from langgraph.checkpoint.postgres.aio import AsyncPostgresSaver
-from pydantic import BaseModel
 from pypdf import PdfReader
 from telegram import (
     InlineKeyboardButton,
@@ -25,6 +23,8 @@ from telegram.ext import (
     filters,
 )
 
+from pydantic import BaseModel
+from typing import Literal
 from vacancies.conf.settings import DB_URI
 from vacancies.main.models import Customer, CustomerCV, JobTitle
 from vacancies.main.recommendations import get_next_vacancy
@@ -59,7 +59,7 @@ async def start(update: Update, context: ContextTypes.DEFAULT_TYPE):
 
 
 async def next_vacancy(update: Update, context: ContextTypes.DEFAULT_TYPE):
-    await context.bot.send_message(update.effective_chat.id, "⏳ Обрабатываю твой запрос. Пожалуйста, подождите...")
+    await context.bot.send_message(update.effective_chat.id, "📝 Обрабатываю твой запрос. Пожалуйста, подождите...")
 
     customer_cv = await CustomerCV.objects.filter(customer__telegram_id=update.effective_user.id).afirst()
     if not customer_cv:
@@ -75,8 +75,7 @@ async def next_vacancy(update: Update, context: ContextTypes.DEFAULT_TYPE):
 
     await context.bot.send_message(
         chat_id=update.effective_chat.id,
-        parse_mode="Markdown",
+        text=vacancy.content,
-        text=vacancy.get_formatted_response(),
         reply_markup=InlineKeyboardMarkup([[
             InlineKeyboardButton("Откликнуться", url=vacancy.link),
         ]]),
@@ -92,7 +91,7 @@ async def prompt(update: Update, context: ContextTypes.DEFAULT_TYPE):
             checkpointer=checkpointer,
         )
 
-        message = await context.bot.send_message(update.effective_chat.id, "⏳ Обрабатываю твой запрос. Пожалуйста, подождите...")
+        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}'}]},
@@ -108,7 +107,7 @@ async def error_handler(update: object, context: ContextTypes.DEFAULT_TYPE) -> N
 
 
 async def handle_document(update: Update, context: ContextTypes.DEFAULT_TYPE):
-    message = await context.bot.send_message(update.effective_chat.id, "⏳ Обрабатываю твой запрос. Пожалуйста, подождите...")
+    message = await context.bot.send_message(update.effective_chat.id, "📝 Обрабатываю твой запрос. Пожалуйста, подождите...")
 
     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.")

vacancies/main/management/commands/collect_vacancies_from_telegram_messages.py

@@ -1,15 +1,14 @@
-from datetime import timedelta
 from itertools import batched
+from datetime import timedelta
+from django.utils import timezone
+from pydantic import BaseModel
 from typing import Literal
+from vacancies.main.models import Vacancy, JobTitle
+from langchain_openai import ChatOpenAI
 
 import clickhouse_connect
-from django.conf import settings
 from django.core.management import BaseCommand
-from django.utils import timezone
+from django.conf import settings
-from langchain_openai import ChatOpenAI
-from pydantic import BaseModel
-
-from vacancies.main.models import JobTitle, Vacancy
 
 query = """
 SELECT DISTINCT ON (message) id, chat_username, telegram_id, message, timestamp
@@ -43,8 +42,6 @@ class Command(BaseCommand):
             job_title: Literal[tuple(job_titles)]
             min_salary_rub: int | None
             max_salary_rub: int | None
-            company_name: str
-            requirements: str
 
         openai_client = ChatOpenAI(model_name="gpt-5-mini", temperature=0, seed=42, top_p=1)
         structured_llm = openai_client.with_structured_output(Structure)
@@ -79,8 +76,6 @@ class Command(BaseCommand):
                     job_title_id=job_title_map[response.job_title],
                     min_salary_rub=response.min_salary_rub,
                     max_salary_rub=response.max_salary_rub,
-                    company_name=response.company_name,
-                    requirements=response.requirements,
                     content=message,
                     timestamp=timezone.make_aware(timestamp),
                     link=f"https://t.me/{chat_username}/{telegram_id}",

vacancies/main/management/commands/generate_recommended_vacancies.py

@@ -1,11 +1,10 @@
 import asyncio
 
 from django.core.management import BaseCommand
-from telegram import InlineKeyboardButton, InlineKeyboardMarkup
-
-from vacancies.main.bot import application
 from vacancies.main.models import CustomerCV
+from vacancies.main.bot import application
 from vacancies.main.recommendations import get_next_vacancy
+from telegram import InlineKeyboardButton, InlineKeyboardMarkup
 
 
 class Command(BaseCommand):
@@ -19,8 +18,7 @@ class Command(BaseCommand):
             if vacancy := get_next_vacancy(customer_cv):
                 await application.bot.send_message(
                     chat_id=customer_cv.customer.chat_id,
-                    text=vacancy.get_formatted_response(),
+                    text=vacancy.content,
-                    parse_mode="Markdown",
                     reply_markup=InlineKeyboardMarkup([[
                         InlineKeyboardButton("Откликнуться", url=vacancy.link),
                     ]]),

vacancies/main/migrations/0012_vacancy_company_name_vacancy_requirements.py

@@ -1,25 +0,0 @@
-# Generated by Django 5.2.7 on 2025-11-09 19:56
-
-from django.db import migrations, models
-
-
-class Migration(migrations.Migration):
-
-    dependencies = [
-        ('main', '0011_remove_customercv_job_title_customercv_job_titles_and_more'),
-    ]
-
-    operations = [
-        migrations.AddField(
-            model_name='vacancy',
-            name='company_name',
-            field=models.CharField(default='test', max_length=255),
-            preserve_default=False,
-        ),
-        migrations.AddField(
-            model_name='vacancy',
-            name='requirements',
-            field=models.TextField(default='test'),
-            preserve_default=False,
-        ),
-    ]

vacancies/main/models.py

@@ -45,8 +45,6 @@ class Vacancy(models.Model):
     external_id = models.CharField(max_length=255, unique=True)
     min_salary_rub = models.PositiveIntegerField(null=True, blank=True, default=None)
     max_salary_rub = models.PositiveIntegerField(null=True, blank=True, default=None)
-    company_name = models.CharField(max_length=255)
-    requirements = models.TextField()
     content = models.TextField()
     timestamp = models.DateTimeField()
     link = models.URLField()
@@ -54,25 +52,6 @@ class Vacancy(models.Model):
     def __str__(self):
         return self.job_title.title
 
-    def get_formatted_response(self):
-        response = f"""
-        💼 **Вакансия**: {self.job_title}
-        \n🏢 **Компания**: {self.company_name}
-        \n📝 **Требования**: {self.requirements}
-        """
-        if self.min_salary_rub:
-            if self.max_salary_rub:
-                response += f"\n💸 **ЗП**: от {self.min_salary_rub} т.р."
-            else:
-                response += f"\n💸 **ЗП**: {self.min_salary_rub} т.р. - {self.max_salary_rub} т.р."
-        elif self.max_salary_rub:
-            response += f"\n💸 **ЗП**: до {self.max_salary_rub} т.р."
-
-        return response
-
-    class Meta:
-        verbose_name_plural = 'Vacancies'
-
 
 class RecommendedVacancy(models.Model):
     customer = models.ForeignKey(Customer, on_delete=models.CASCADE, related_name="recommended_vacancies")

vacancies/main/recommendations.py

@@ -1,6 +1,5 @@
-from django.db.models import Q
-
 from vacancies.main.models import Vacancy
+from django.db.models import Q
 
 
 def get_next_vacancy(customer_cv):
@@ -8,7 +7,7 @@ def get_next_vacancy(customer_cv):
         ~Q(id__in=customer_cv.customer.recommended_vacancies.values_list("vacancy_id", flat=True)),
         Q(min_salary_rub__isnull=True) | Q(min_salary_rub__gt=customer_cv.min_salary_rub),
         job_title__title__in=customer_cv.job_titles.values_list("title", flat=True),
-    ).order_by("-timestamp").first()
+    ).first()
     if vacancy:
         customer_cv.customer.recommended_vacancies.create(vacancy=vacancy)