Telegram bot template
Best way to create a scalable telegram bot with analytics
✨ Features
- Admin Panel based on
Flask-Admin-Dashboard(Flask-Admin+AdminLTE= ❤️ ) - Product Analytics System: using
AmplitudeorPosthogorGoogle Analytics - Performance Monitoring System: using
PrometheusandGrafana - Tracking System: using
Sentry - Seamless use of
DockerandDocker Compose - Export all users in
.csv(or.xlsx,.json,yamlfrom admin panel) - Configured CI pipeline from git hooks to github actions
-
SQLAlchemy V2is used to communicate with the database - Database Migrations with
Alembic - Ability to cache using decorator
- Convenient validation using
Pydantic V2 - Internationalization (i18n) using GNU gettex and
Babel
🚀 How to Use
🐳 Running in Docker (recommended method)
-
configure environment variables in
.envfile -
start services
docker compose up -d --build
💻 Running on Local Machine
-
install dependencies using Poetry
-
start the necessary services (at least the database and redis)
-
configure environment variables in
.envfile -
start telegram bot
-
start admin panel
poetry run gunicorn -c admin/gunicorn_conf.py
-
make migrations
poetry run alembic upgrade head
🌍 Environment variables
to launch the bot you only need a token bot, database and redis settings, everything else can be left out
| name | description |
|---|---|
BOT_TOKEN |
Telegram bot API token |
RATE_LIMIT |
Maximum number of requests allowed per minute for rate limiting |
DEBUG |
Enable or disable debugging mode (e.g., True or False) |
USE_WEBHOOK |
Flag to indicate whether the bot should use a webhook for updates (e.g., True or False) |
WEBHOOK_BASE_URL |
Base URL for the webhook |
WEBHOOK_PATH |
Path to receive updates from Telegram |
WEBHOOK_SECRET |
Secret key for securing the webhook communication |
WEBHOOK_HOST |
Hostname or IP address for the main application |
WEBHOOK_PORT |
Port number for the main application |
ADMIN_HOST |
Hostname or IP address for the admin panel |
ADMIN_PORT |
Port number for the admin panel |
DEFAULT_ADMIN_EMAIL |
Default email for the admin user |
DEFAULT_ADMIN_PASSWORD |
Default password for the admin user |
SECURITY_PASSWORD_HASH |
Hashing algorithm for user passwords (e.g., bcrypt) |
SECURITY_PASSWORD_SALT |
Salt value for user password hashing |
DB_HOST |
Hostname or IP address of the PostgreSQL database |
DB_PORT |
Port number for the PostgreSQL database |
DB_USER |
Username for authenticating with the PostgreSQL database |
DB_PASS |
Password for authenticating with the PostgreSQL database |
DB_NAME |
Name of the PostgreSQL database |
REDIS_HOST |
Hostname or IP address of the Redis database |
REDIS_PORT |
Port number for the Redis database |
REDIS_PASS |
Password for authenticating with the Redis database |
SENTRY_DSN |
Sentry DSN (Data Source Name) for error tracking |
AMPLITUDE_API_KEY |
API key for Amplitude analytics |
POSTHOG_API_KEY |
API key for PostHog analytics |
PROMETHEUS_PORT |
Port number for the Prometheus monitoring system |
GRAFANA_PORT |
Port number for the Grafana monitoring and visualization platform |
GRAFANA_ADMIN_USER |
Admin username for accessing Grafana |
GRAFANA_ADMIN_PASSWORD |
Admin password for accessing Grafana |
📂 Project Folder Structure
. ├── admin # Source code for admin panel │ ├── __init__.py │ ├── app.py # Main application module for the admin panel │ ├── config.py # Configuration module for the admin panel │ ├── Dockerfile # Dockerfile for admin panel │ ├── gunicorn_conf.py # Gunicorn configuration file for serving admin panel │ ├── static # Folder for static assets │ │ ├── css/ │ │ ├── fonts/ │ │ ├── img/ │ │ ├── js/ │ │ └── plugins/ │ ├── templates # HTML templates for the admin panel │ │ ├── admin/ │ │ ├── index.html │ │ ├── my_master.html │ │ └── security/ │ └── views # Custom View modules for handling web requests │ ├── __init__.py │ └── users.py │ ├── bot # Source code for Telegram Bot │ ├── __init__.py │ ├── __main__.py # Main entry point to launch the bot │ ├── analytics/ # Interaction with analytics services (e.g., Amplitude or Google Analytics) │ ├── cache/ # Logic for using Redis cache │ ├── core/ # Settings for application and other core components │ ├── database/ # Database functions and SQLAlchemy Models │ ├── filters/ # Filters for processing incoming messages or updates │ ├── handlers/ # Handlers for processing user commands and interactions │ ├── keyboards # Modules for creating custom keyboards │ │ ├── default_commands.py # Default command keyboards │ │ ├── __init__.py │ │ ├── inline/ # Inline keyboards │ │ └── reply/ # Reply keyboards │ ├── locales/ # Localization files for supporting multiple languages │ ├── middlewares/ # Middleware modules for processing incoming updates │ ├── services/ # Business logic for application │ └── utils/ # Utility functions and helper modules │ ├── migrations # Database Migrations managed by Alembic │ ├── env.py # Environment setup for Alembic │ ├── __init__.py │ ├── README │ ├── script.py.mako # Script template for generating migrations │ └── versions/ # Folder containing individual migration scripts │ ├── configs # Config folder for Monitoring (Prometheus, Node-exporter and Grafana) │ ├── grafana # Configuration files for Grafana │ │ └── datasource.yml │ └── prometheus # Configuration files for Prometheus │ └── prometheus.yml │ ├── scripts/ # Sripts folder ├── Makefile # List of commands for standard ├── alembic.ini # Configuration file for migrations ├── docker-compose.yml # Docker Compose configuration file for orchestrating containers ├── Dockerfile # Dockerfile for Telegram Bot ├── LICENSE.md # License file for the project ├── poetry.lock # Lock file for Poetry dependency management ├── pyproject.toml # Configuration file for Python projects, including build tools, dependencies, and metadata └── README.md # Documentation
🔧 Tech Stack
sqlalchemy— object-relational mapping (ORM) library that provides a set of high-level API for interacting with relational databasesasyncpg— asynchronous PostgreSQL database client libraryaiogram— asynchronous framework for Telegram Bot APIflask-admin— simple and extensible administrative interface frameworkloguru— third party library for logging in Pythonpoetry— development workflowdocker— to automate deploymentpostgres— powerful, open source object-relational database systempgbouncer— connection pooler for PostgreSQL databaseredis— in-memory data structure store used as a cache and FSMprometheus— time series database for collecting metrics from various systemsgrafana— visualization and analysis from various sources, including Prometheus
⭐ Star History
👷 Contributing
First off, thanks for taking the time to contribute! Contributions are what makes the open-source community such an amazing place to learn, inspire, and create. Any contributions you make will benefit everybody else and are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
Forkthis repository- Create a
branch Commityour changesPushyourcommitsto thebranch- Submit a
pull request
📝 License
Distributed under the LGPL-3.0 license. See LICENSE for more information.