bot-framework 0.6.0

Reusable Telegram bot framework with Clean Architecture

Bot Framework

Reusable Python library for building Telegram bots with Clean Architecture principles.

Installation

# Basic installation
pip install bot-framework

# With Telegram support
pip install bot-framework[telegram]

# With all optional dependencies
pip install bot-framework[all]

Features

• Clean Architecture - Layered architecture with import-linter enforcement
• Telegram Integration - Ready-to-use services for pyTelegramBotAPI
• Step Flow - Declarative multi-step flows with ordered steps
• Flow Management - Dialog flow stack management with Redis storage
• Role Management - User roles and permissions
• Language Management - Multilingual phrase support
• Request Role Flow - Pre-built flow for role requests

Quick Start

from bot_framework import Button, Keyboard
from bot_framework.app import BotApplication

app = BotApplication(
    bot_token="YOUR_BOT_TOKEN",
    database_url="postgres://user:pass@localhost/dbname",
    redis_url="redis://localhost:6379/0",
)

# Use individual message protocols
keyboard = Keyboard(rows=[
    [Button(text="Option 1", callback_data="opt1")],
    [Button(text="Option 2", callback_data="opt2")],
])

# Send new message
app.message_sender.send(chat_id=123, text="Choose an option:", keyboard=keyboard)

# Replace existing message
app.message_replacer.replace(chat_id=123, message_id=456, text="Updated text")

# Delete message
app.message_deleter.delete(chat_id=123, message_id=456)

Message Protocols

Bot Framework follows Interface Segregation Principle with separate protocols for each operation:

Protocol	Method	Description
IMessageSender	send(), send_markdown_as_html()	Send new messages
IMessageReplacer	replace()	Edit existing message
IMessageDeleter	delete()	Delete message
IDocumentSender	send_document()	Send a file
IDocumentDownloader	download_document()	Download a file
INotifyReplacer	notify_replace()	Delete old message and send new one

Using in your handlers

Use specific protocols for dependency injection:

from bot_framework.protocols import IMessageSender, IMessageReplacer

class MyHandler:
    def __init__(
        self,
        message_sender: IMessageSender,
        message_replacer: IMessageReplacer,
    ) -> None:
        self.message_sender = message_sender
        self.message_replacer = message_replacer

    def handle(self, chat_id: int) -> None:
        self.message_sender.send(chat_id=chat_id, text="Hello!")

Available via BotApplication

app.message_sender      # IMessageSender
app.message_replacer    # IMessageReplacer
app.message_deleter     # IMessageDeleter
app.document_sender     # IDocumentSender

Bot Commands

Set up bot commands in BotFather using /setcommands. Copy and paste the following:

start - Start the bot
request_role - Request a role
language - Change language

This enables command autocompletion in Telegram when users type /.

Main Menu

The main menu is shown when user sends /start command. By default, the menu has no buttons — you add them from your application.

Adding buttons

Use add_main_menu_button() to add buttons to the main menu. Buttons are added in reverse order (first added appears last):

from bot_framework.app import BotApplication
from bot_framework.protocols.i_callback_handler import ICallbackHandler

class OrdersHandler(ICallbackHandler):
    callback_data = "orders"

    def handle(self, callback: BotCallback) -> None:
        # Handle button press
        ...

app = BotApplication(
    bot_token="YOUR_BOT_TOKEN",
    database_url="postgres://user:pass@localhost/dbname",
    redis_url="redis://localhost:6379/0",
    phrases_json_path=Path("data/phrases.json"),
)

orders_handler = OrdersHandler()
app.callback_handler_registry.register(orders_handler)

# Add button to main menu
app.add_main_menu_button("mybot.orders", orders_handler)

Add phrase for the button in data/phrases.json:

{
  "mybot.orders": {
    "ru": "📦 Мои заказы",
    "en": "📦 My Orders"
  }
}

Restricting /start access

By default, /start is available to all users. You can restrict access to specific roles:

# Only users with "admin" or "manager" role can use /start
app.set_start_allowed_roles({"admin", "manager"})

Users without required roles will be redirected to the role request flow when trying to use /start.

Important: This is typically used for internal bots where access should be limited. For public bots, leave this unrestricted (don't call set_start_allowed_roles).

Database Migrations

Bot Framework includes built-in database migrations using yoyo-migrations. Migrations are applied automatically when creating a BotApplication instance.

Automatic migrations (default)

from bot_framework.app import BotApplication

# Migrations are applied automatically
app = BotApplication(
    bot_token="YOUR_BOT_TOKEN",
    database_url="postgres://user:pass@localhost/dbname",
    redis_url="redis://localhost:6379/0",
)

Disable automatic migrations

app = BotApplication(
    bot_token="YOUR_BOT_TOKEN",
    database_url="postgres://user:pass@localhost/dbname",
    redis_url="redis://localhost:6379/0",
    auto_migrate=False,  # Disable automatic migrations
)

Manual migration

from bot_framework.migrations import apply_migrations

# Returns number of applied migrations
applied_count = apply_migrations("postgres://user:pass@localhost/dbname")

Created tables

• languages - Supported languages (en, ru by default)
• roles - User roles (user, supervisors by default)
• users - Bot users
• phrases - Multilingual phrases
• user_roles - User-role associations

Configuration

Bot Framework uses JSON files to configure roles, phrases, and languages. The library provides default values, and you can extend them with your own configuration files.

Roles

Roles define user permissions in your bot. The library includes two base roles: user (default for all users) and supervisors (role approvers).

Add custom roles by creating data/roles.json in your project:

{
  "roles": [
    {"name": "admin", "description": "Administrator with full access"},
    {"name": "moderator", "description": "Content moderator"}
  ]
}

Pass the path to BotApplication:

from pathlib import Path
from bot_framework.app import BotApplication

app = BotApplication(
    bot_token="YOUR_BOT_TOKEN",
    database_url="postgres://user:pass@localhost/dbname",
    redis_url="redis://localhost:6379/0",
    roles_json_path=Path("data/roles.json"),
)

Roles are synced to the database on startup using INSERT ... ON CONFLICT DO NOTHING, so it's safe to run multiple times.

Using roles in handlers:

class AdminOnlyHandler:
    def __init__(self):
        self.allowed_roles: set[str] | None = {"admin"}

Phrases

Phrases provide multilingual text for your bot. Each phrase has a hierarchical key and translations for each supported language.

Add custom phrases by creating data/phrases.json:

{
  "mybot.greeting": {
    "ru": "Привет! Я ваш помощник.",
    "en": "Hello! I'm your assistant."
  },
  "mybot.help.title": {
    "ru": "Справка",
    "en": "Help"
  },
  "mybot.errors.not_found": {
    "ru": "Не найдено",
    "en": "Not found"
  }
}

Pass the path to BotApplication:

app = BotApplication(
    bot_token="YOUR_BOT_TOKEN",
    database_url="postgres://user:pass@localhost/dbname",
    redis_url="redis://localhost:6379/0",
    phrases_json_path=Path("data/phrases.json"),
)

Using phrases:

# Get phrase for user's language
text = app.phrase_provider.get("mybot.greeting", language_code="ru")

Key naming convention: Use dot-separated hierarchical keys like module.context.action (e.g., orders.validation.empty_cart).

Languages

Languages define which translations are available. The library includes English and Russian by default.

Add custom languages by creating data/languages.json:

{
  "languages": [
    {"code": "ru", "name": "Russian", "native_name": "Русский"},
    {"code": "en", "name": "English", "native_name": "English"},
    {"code": "es", "name": "Spanish", "native_name": "Español"}
  ],
  "default_language": "en"
}

Pass the path to BotApplication:

app = BotApplication(
    bot_token="YOUR_BOT_TOKEN",
    database_url="postgres://user:pass@localhost/dbname",
    redis_url="redis://localhost:6379/0",
    languages_json_path=Path("data/languages.json"),
)

Full configuration example

from pathlib import Path
from bot_framework.app import BotApplication

app = BotApplication(
    bot_token="YOUR_BOT_TOKEN",
    database_url="postgres://user:pass@localhost/dbname",
    redis_url="redis://localhost:6379/0",
    roles_json_path=Path("data/roles.json"),
    phrases_json_path=Path("data/phrases.json"),
    languages_json_path=Path("data/languages.json"),
)

app.run()

Project structure:

my_bot/
├── data/
│   ├── roles.json
│   ├── phrases.json
│   └── languages.json
├── handlers/
│   └── ...
└── main.py

Step Flow

Step Flow allows you to build multi-step user flows declaratively. Each step is a separate class that defines its completion condition and action.

Creating a Step

from bot_framework.entities.user import User
from bot_framework.step_flow import BaseStep

from myapp.entities import MyFlowState
from myapp.protocols import IMyQuestionSender


class AskNameStep(BaseStep[MyFlowState]):
    name = "ask_name"

    def __init__(self, sender: IMyQuestionSender) -> None:
        self.sender = sender

    def execute(self, user: User, state: MyFlowState) -> bool:
        # Check if step is already completed
        if state.name is not None:
            return True  # Continue to next step

        # Step not completed - send message to user
        self.sender.send(user)
        return False  # Stop here, wait for user response

The execute() method returns:

• True - step is completed, continue to next step
• False - step sent a message, stop and wait for user response

Creating a Flow

from bot_framework.step_flow import Flow

from myapp.entities import MyFlowState
from myapp.steps import AskNameStep, AskEmailStep, AskPhoneStep


# Create flow
flow = Flow[MyFlowState](
    name="registration",
    state_factory=lambda user_id: MyFlowState(user_id=user_id),
    state_storage=my_state_storage,
)

# Add steps in order
flow.add_step(AskNameStep(sender=name_sender))
flow.add_step(AskEmailStep(sender=email_sender))
flow.add_step(AskPhoneStep(sender=phone_sender))

# Callback when all steps completed
flow.on_complete(lambda user, state: show_confirmation(user, state))

Step Order Management

# Add step at specific position
flow.insert_step(1, AskMiddleNameStep(sender=...))

# Move step to different position
flow.move_step("ask_email", to_index=0)

# Remove step
flow.remove_step("ask_phone")

Using Flow in Handlers

class NameInputHandler:
    def __init__(self, state_storage: IMyStateStorage) -> None:
        self.state_storage = state_storage
        self.flow: Flow[MyFlowState] | None = None

    def set_flow(self, flow: Flow[MyFlowState]) -> None:
        self.flow = flow

    def handle(self, message: BotMessage) -> None:
        state = self.state_storage.get(message.from_user.id)
        state.name = message.text
        self.state_storage.save(state)

        # Continue to next step
        if self.flow:
            user = self.user_repo.get_by_id(message.from_user.id)
            self.flow.route(user)

Starting a Flow

# Start flow for user
flow.start(user, source_message)

State Storage Protocol

Implement IStepStateStorage for your state:

from bot_framework.step_flow.protocols import IStepStateStorage


class RedisMyStateStorage(IStepStateStorage[MyFlowState]):
    def get(self, user_id: int) -> MyFlowState | None:
        ...

    def save(self, state: MyFlowState) -> None:
        ...

    def delete(self, user_id: int) -> None:
        ...

Complete Example

# entities/my_flow_state.py
from pydantic import BaseModel


class MyFlowState(BaseModel):
    user_id: int
    name: str | None = None
    email: str | None = None
    confirmed: bool = False


# steps/ask_name_step.py
from bot_framework.step_flow import BaseStep


class AskNameStep(BaseStep[MyFlowState]):
    name = "ask_name"

    def __init__(self, sender: IAskNameSender) -> None:
        self.sender = sender

    def execute(self, user: User, state: MyFlowState) -> bool:
        if state.name is not None:
            return True
        self.sender.send(user)
        return False


# factory.py
flow = Flow[MyFlowState](
    name="registration",
    state_factory=lambda uid: MyFlowState(user_id=uid),
    state_storage=redis_storage,
)

flow.add_step(AskNameStep(sender=name_sender))
flow.add_step(AskEmailStep(sender=email_sender))
flow.on_complete(lambda user, state: confirm_sender.send(user, state))

# Connect handlers to flow
name_handler.set_flow(flow)
email_handler.set_flow(flow)

Support Chat

Support Chat mirrors user conversations into a Telegram supergroup with forum topics, allowing staff to monitor and reply to users directly.

How it works

• User messages are forwarded to a dedicated topic in the support chat
• Bot replies are mirrored as text copies in the topic
• Staff replies in a topic are sent to the user with a "👤 Сотрудник:" prefix

Setup

1. Create a Telegram supergroup and enable Topics (Group Settings → Topics)
2. Add your bot as admin with Manage Topics permission
3. Pass the chat ID when creating BotApplication:

app = BotApplication(
    bot_token="YOUR_BOT_TOKEN",
    database_url="postgres://user:pass@localhost/dbname",
    redis_url="redis://localhost:6379/0",
    support_chat_id=-1001234567890,  # Supergroup with forum topics
)

Limitations

• Maximum 1000 topics per supergroup (Telegram limit)
• Topic names are limited to 128 characters
• Bot must be an admin with can_manage_topics permission

Optional Dependencies

• telegram - pyTelegramBotAPI for Telegram bot integration
• postgres - psycopg and yoyo-migrations for PostgreSQL database support
• redis - Redis for caching and flow state management
• all - All optional dependencies

License

MIT