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Telegram Agent Bot (Django)

Приложение на Django, предоставляющее Telegram чат-бота для агентов. Бот получает номер телефона, проверяет его в базе данных и извлекает информацию о кредитах и вознаграждениях из Google Sheets.

Функциональность: проверка номера телефона агента в базе Django, получение статистики агента из Google Sheets (лиды, количество кредитов, сумма кредитов, начисленные и выплаченные вознаграждения), интеграция с Telegram через webhook, тестирование через Postman и ngrok.

Установка и настройка

1. Клонировать репозиторий:

git clone <your-repo-url>
cd <project-folder>

2. Создать виртуальное окружение:

python -m venv venv
# Linux/macOS
source venv/bin/activate
# Windows
venv\Scripts\activate

3. Установить зависимости:

pip install -r requirements.txt

4. Настроить переменные окружения (.env):

DJANGO_SECRET_KEY=your_secret_key
DEBUG=True
TELEGRAM_BOT_TOKEN=your_telegram_bot_token
GOOGLE_SERVICE_ACCOUNT_JSON={"type": "..."}  # JSON сервисного аккаунта в одну строку
GOOGLE_SHEET_NAME=YourGoogleSheetName
ALLOWED_HOSTS=127.0.0.1,localhost

5. Применить миграции и создать суперпользователя:

python manage.py makemigrations
python manage.py migrate
python manage.py createsuperuser
python manage.py runserver

Тестирование через Telegram и ngrok

1. Установите ngrok и запустите туннель на локальный сервер Django:

ngrok http 80

2. В Telegram Bot API установите webhook:

curl -F "url=https://<ngrok-subdomain>.ngrok-free.dev/api/telegram-webhook/" \
https://api.telegram.org/bot<your_bot_token>/setWebhook

3. Отправьте номер телефона боту и получите данные агента.

Структура проекта

project/
│
├─ agents/
│  ├─ migrations/
│  ├─ services/
│  │   ├─ __pycache__
│  │   ├─ __init__.py
│  │   ├─ agent_service.py
│  │   └─ google_sheets_service.py
│  ├─ __init__.py
│  ├─ admin.py
│  ├─ apps.py
│  ├─ models.py
│  ├─ tests.py
│  ├─ urls.py
│  └─ views.py
├─ core/
├─ credentials/
├─ nginx/
│  └─ nginx.conf
├─ users/
├─ venv/
├─ .dockerignore
├─ .env
├─ .gitignore
├─ db.sqlite3
├─ docker-compose.yml
├─ Dockerfile
├─ manage.py
├─ README.md
└─ requirements.txt

Стек технологий

Python 3.11, Django 4.x, Django REST Framework, gspread + Google Service Account, python-telegram-bot, ngrok (для локального тестирования webhook), python-dotenv для конфиденциальных данных.

Примечания: для тестирования webhook требуется публичный URL (ngrok или другой хостинг). Все credentials (Telegram и Google) хранятся в .env. В базе Django хранится минимальная информация об агентах — телефон и имя.

Ресурсы: Telegram Bot API, gspread Documentation, ngrok Documentation

Запуск через Docker

Для упрощения развертывания и тестирования проекта можно использовать Docker. Это позволяет запускать приложение в изолированном контейнере без настройки виртуального окружения вручную.

1. Сборка Docker-образа

В корне проекта должен быть Dockerfile. Соберите образ командой:

docker build -t telegram-agent-bot .

2. Запуск контейнера

Запустите контейнер с пробросом порта 8000 и подключением переменных окружения из .env:

docker run -d \
  --name telegram-agent-bot \
  --env-file .env \
  -p 8000:8000 \
  telegram-agent-bot

• -d — запускает контейнер в фоновом режиме.
• --env-file .env — передает переменные окружения в контейнер.
• -p 8000:8000 — пробрасывает порт Django для локального доступа.

3. Проверка работы

Откройте браузер и перейдите по адресу:

http://localhost:8000/admin/

или используйте ngrok для тестирования Telegram webhook:

ngrok http 8000

Затем установите webhook через Telegram Bot API, как описано выше.

4. Управление контейнером

• Просмотр логов:

docker logs -f telegram-agent-bot

• Остановка контейнера:

docker stop telegram-agent-bot

• Удаление контейнера:

docker rm telegram-agent-bot

• Пересборка образа после изменений в коде:

docker build -t telegram-agent-bot .
docker stop telegram-agent-bot
docker rm telegram-agent-bot
docker run -d --env-file .env -p 8000:8000 telegram-agent-bot

Теперь проек

chatbot-agents

Getting started

To make it easy for you to get started with GitLab, here's a list of recommended next steps.

Already a pro? Just edit this README.md and make it your own. Want to make it easy? Use the template at the bottom!

Add your files

• Create or upload files
• Add files using the command line or push an existing Git repository with the following command:

cd existing_repo
git remote add origin https://gitlab.dev.solva.kz/slkz/chatbot-agents.git
git branch -M main
git push -uf origin main

Integrate with your tools

• Set up project integrations

Collaborate with your team

• Invite team members and collaborators
• Create a new merge request
• Automatically close issues from merge requests
• Enable merge request approvals
• Set auto-merge

Test and Deploy

Use the built-in continuous integration in GitLab.

• Get started with GitLab CI/CD
• Analyze your code for known vulnerabilities with Static Application Security Testing (SAST)
• Deploy to Kubernetes, Amazon EC2, or Amazon ECS using Auto Deploy
• Use pull-based deployments for improved Kubernetes management
• Set up protected environments

---

Editing this README

When you're ready to make this README your own, just edit this file and use the handy template below (or feel free to structure it however you want - this is just a starting point!). Thanks to makeareadme.com for this template.

Suggestions for a good README

Every project is different, so consider which of these sections apply to yours. The sections used in the template are suggestions for most open source projects. Also keep in mind that while a README can be too long and detailed, too long is better than too short. If you think your README is too long, consider utilizing another form of documentation rather than cutting out information.

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a016c57 (Initial commit)