Chatbot project with Django Admin and plugins

Документация

Групп разработки бота

Групп техподдержки бота

Демо бота

Currently supported plug-ins:

• Interlocutor Giga Chat
• Monitoring of IRIS servers
• Reporter on issue from GitLab
• Weather forecast /weather_list - list /weather_Moscow in Moscow for a day and 7 days based on the weather service https://open-meteo.com/en/docs#location_and_time and the reverse geocoding service https://nominatim.openstreetmap.org/reverse
• Service for obtaining an article from Wikipedia. For example /wiki_Snow or /wiki_Снег or wiki_Снеговик
• RSS news aggregation service. /news_list - list of feeds
• Internet search service /inet /inet_ddg_ - so far only in the DuckDuckGo search engine
• Administration module in groups deleting system information about entering and exiting groups, changing photos deleting a user from a group for writing prohibited words
• Module for obtaining information from reference books of Russian regions codes and searching for a country by the beginning of the barcode

git clone https://github.com/SergeyMi37/telebot-plugins cd telebot-plugins

Create virtual environment (optional)

python3 -m venv env-iin source env-lin/bin/activate # Create virtual environment for Windows python -m venv env-win source env-win/Scripts/activate # Install all requirements: pip install -r requirements.txt

Create .env file copy-paste this or just run cp doc/env_example .env Create dynaconf.yaml file copy-paste this or just run cp doc/dynaconf.example.yaml dynaconf.yaml, don't forget to change tokens:

Run migrations to setup SQLite database:

python manage.py makemigrations python manage.py migrate

Create superuser to get access to admin panel:

python manage.py createsuperuser

or

# .env DJANGO_SUPERUSER_PASSWORD=demo python manage.py createsuperuser --noinput --username adm --email adm@localhost.com 

Run bot in polling mode:

python run_polling.py 

If you want to open Django admin panel which will be located on http://localhost:8000/tgadmin/:

python manage.py runserver

# Статистика всех моделей Django: python manage.py model_stats # Детальная информация о конкретной модели: python manage.py check_model users.updates # Экспорт модели в файл json: python manage.py model_import --model django_celery_beat.PeriodicTasks --file test.json --format json --import 0 # или python manage.py model_import --model django_celery_beat.PeriodicTasks --file test.json --format json # Экспорт модели в файл csv (по умолчанию): python manage.py model_import --model django_celery_beat.PeriodicTasks --file sysotiom.csv --format csv # Импорт модели из файла json в режиме --dry-run - сухой запуск, без реального импорта: python manage.py model_import --model users.User --file users.json --format json --import 1 --dry-run # Импорт модели из файла json: python manage.py model_import --model users.User --file users.json --format json --import 1 

If you want just to run all the things locally, you can use Docker-compose which will start all containers for you.

To run all services (Django, Postgres, Redis, Celery) at once:

docker-compose up -d --build

Check status of the containers.

docker ps -a

 docker-compose ps --services

docker exec -it dtb_bot bash

python manage.py createsuperuser

or

python manage.py createsuperuser --noinput --username adm --email adm@localhost.com # .env DJANGO_SUPERUSER_PASSWORD=demo

docker logs -f

 docker logs -f bot