A lightweight aiogram-based library for broadcasting Telegram messages.
Project description
aiogram_broadcaster
aiogram_broadcaster is lightweight aiogram-based library for broadcasting Telegram messages.
Features
-
Event system
-
Placeholders (variables in texts)
-
Flexible contents (LazyContent, KeyBasedContent)
-
Storages
-
Statistics
-
Statuses
-
Supports multiple mailings
-
Supports multibot
Installation
$ pip install aiogram-broadcaster
Creating a mailer and running broadcasting
How to create a mailer and initiate broadcasting.
Usage:
import logging
import sys
from typing import Any
from aiogram import Bot, Dispatcher, Router
from aiogram.types import Message
from aiogram_broadcaster import Broadcaster
from aiogram_broadcaster.contents import MessageSendContent
from aiogram_broadcaster.storage.file import FileMailerStorage
TOKEN = "1234:Abc"
USER_IDS = {78238238, 78378343, 98765431, 12345678}
router = Router(name=__name__)
@router.message()
async def process_any_message(message: Message, broadcaster: Broadcaster) -> Any:
# Creating content based on the Message
content = MessageSendContent(message=message)
mailer = await broadcaster.create_mailer(
content=content,
chats=USER_IDS,
interval=1,
preserve=True,
destroy_on_complete=True,
)
# The mailer launch method starts mailing to chats as an asyncio task.
mailer.start()
await message.reply(text="Run broadcasting...")
def main() -> None:
logging.basicConfig(level=logging.INFO, stream=sys.stdout)
bot = Bot(token=TOKEN)
dispatcher = Dispatcher()
dispatcher.include_router(router)
storage = FileMailerStorage()
broadcaster = Broadcaster(bot, storage=storage)
broadcaster.setup(dispatcher=dispatcher)
dispatcher.run_polling(bot)
if __name__ == "__main__":
main()
Mailer
The Mailer class facilitates the broadcasting of messages to multiple chats in Telegram. It manages the lifecycle of the broadcast process, including starting, stopping, and destroying the broadcast.
Properties
-
id: Unique identifier for the mailer.
-
status: Current mailer status of the mailer (e.g., STARTED, STOPPED, COMPLETED).
-
settings: Configuration settings for the mailer.
-
statistic: Statistic instance containing statistics about the mailer's performance.
-
content: Content to be broadcast.
-
context: Additional context data used during the broadcasting process.
-
bot: aiogram Bot instance used for interacting with the Telegram API.
Methods
-
send(chat_id: int) -> Any: Sends the content to a specific chat identified by chat_id.
-
add_chats(chats: Iterable[int]) -> Set[int]: Adds new chats to the mailer's registry.
-
reset_chats() -> bool: Resets the state of all chats.
-
destroy() -> None: Destroys the mailer instance and cleans up resources.
-
stop() -> None: Stops the broadcasting process.
-
run() -> bool: Initiates the broadcasting process.
-
start() -> None: Starts the broadcasting process in background.
-
wait() -> None: Waits for the broadcasting process to complete.
Usage:
mailer = await broadcaster.create_mailer(content=..., chats=...)
try:
logging.info("Mailer starting...")
await mailer.run()
finally:
logging.info("Mailer shutdown...")
await mailer.destroy()
Multibot
When using a multibot, it may be necessary to launch many mailings in several bots. For this case, there is a MailerGroup object that stores several mailers and can manage them.
Usage:
from aiogram import Bot
from aiogram_broadcaster import Broadcaster
# List of bots
bots = [Bot(token="1234:Abc"), Bot(token="5678:Vbn")]
broadcaster = Broadcaster()
# Creating a group of mailers based on several bots
mailer_group = await broadcaster.create_mailers(
*bots,
content=...,
chats=...,
)
# Run all mailers in the mailer group
await mailer_group.run()
Event system
The event system empowers you to effectively manage events throughout the broadcast process.
NOTE:
EventRouter
supports chained nesting, similar to aiogram Router.
Usage:
from aigoram_broadcaster import EventRouter
event = EventRouter(name=__name__)
# Define event handlers
@event.started()
async def mailer_started() -> None:
"""Triggered when the mailer begins its operations."""
@event.stopped()
async def mailer_stopped() -> None:
"""Triggered when the mailer stops its operations."""
@event.completed()
async def mailer_completed() -> None:
"""Triggered when the mailer successfully completes its operations."""
@event.before_sent()
async def mail_before_sent() -> None:
"""
Triggered before sending content.
Exclusive parameters for this type of event.
chat_id (int): ID of the chat.
"""
@event.failed_sent()
async def mail_failed_sent() -> None:
"""
Triggered when a content fails to send.
Exclusive parameters for this type of event.
chat_id (int): ID of the chat.
error (Exception): Exception raised during sending.
"""
@event.success_sent()
async def mail_successful_sent() -> None:
"""
Triggered when a mail is successfully sent.
Exclusive parameters for this type of event:
chat_id (int): ID of the chat.
response (Any): Response from the sent mail.
"""
# Include the event instance in the broadcaster
broadcaster.event.include(event)
Placeholders
Placeholders facilitate the insertion of dynamic content within texts, this feature allows for personalized messaging.
NOTE:
PlaceholderRouter
supports chained nesting, similar to aiogram Router.
Usage:
-
Function-based
from aiogram_broadcaster import PlaceholderRouter
placeholder = PlaceholderRouter(name=__name__)
@placeholder(key="name")
async def get_username(chat_id: int, bot: Bot) -> str:
"""Retrieves the username using the Telegram Bot API."""
member = await bot.get_chat_member(chat_id=chat_id, user_id=chat_id)
return member.user.first_name
broadcaster.placeholder.include(placeholder)
-
Class-based
from aiogram_broadcaster import PlaceholderItem
class NamePlaceholder(PlaceholderItem, key="name"):
async def __call__(self, chat_id: int, bot: Bot) -> str:
member = await bot.get_chat_member(chat_id=chat_id, user_id=chat_id)
return member.user.first_name
broadcaster.placeholder.register(NamePlaceholder())
-
Other registration methods
placeholder["name"] = function
placeholder.add(key="key", value="value")
placeholder.attach({"key": "value"}, key="value")
And then
text_content = TextContent(text="Hello, $name!")
photo_content = PhotoContent(photo=..., caption="Photo especially for $name!")
Key-based content
This module provides utilities to create personalized content targeted to specific users or groups based on their language preferences or geographical location, etc.
NOTE: If the default key is not specified, an error will be given if the key is not found.
Usage:
from aiogram.exceptions import TelegramBadRequest
from aiogram_broadcaster.contents import KeyBasedContent, TextContent
class LanguageBasedContent(KeyBasedContent):
"""Content based on the user's language."""
async def __call__(self, chat_id: int, bot: Bot) -> Optional[str]:
try:
member = await bot.get_chat_member(chat_id=chat_id, user_id=chat_id)
except TelegramBadRequest:
return None
else:
return member.user.language_code
content = LanguageBasedContent(
# default=TextContent(text="Hello!"),
uk=TextContent(text="Привіт!"),
ru=TextContent(text="Привет!"),
)
Lazy content
Allows content to be generated dynamically at the time the message is sent.
Usage:
from secrets import choice
from typing import List
from pydantic import SerializeAsAny
from aiogram_broadcaster.contents import BaseContent, LazyContent, TextContent
class RandomizedContent(LazyContent):
contents: List[SerializeAsAny[BaseContent]]
async def __call__(self) -> BaseContent:
return choice(self.contents)
content = RandomizedContent(
contents=[
TextContent(text="Hello!"),
TextContent(text="Hi!"),
],
)
await broadcaster.create_mailer(content=content, chats=...)
Dependency injection
It is used for comprehensive dependency management, used in event system, key-based/lazy content, placeholders and so on.
Usage:
-
Main contextual data
from aiogram_broadcaster import Broadcaster
broadcaster = Broadcaster(key="value")
-
Fetching the dispatcher contextual data
from aiogram import Dispatcher
from aiogram_broadcaster import Broadcaster
dispatcher = Dispatcher()
dispatcher["key"] = "value"
broadcaster = Broadcaster()
broadcaster.setup(dispatcher, fetch_dispatcher_context=True)
-
Contextual data only for mailer
await broadcaster.create_mailer(content=..., chats=..., key=value)
-
Stored contextual data only for mailer
await broadcaster.create_mailer(content=..., chats=..., stored_context={"key": "value"})
-
Event-to-event
@event.completed()
async def transfer_content(mailer: Mailer) -> Dict[str, Any]:
return {"mailer_content": mailer.content}
@event.completed()
async def mailer_completed(mailer_content: BaseContent) -> None:
print(mailer_content)
Storages
Storage allow you to save mailer states to external storage.
-
FileMailerStorage Saves the mailers to a file.
-
MongoDBMailerStorage Saves the mailers to a MongoDB.
-
RedisMailerStorage Saves the mailers to a Redis.
-
SQLAlchemyMailerStorage Saves the mailers using SQLAlchemy.
Usage:
from aiogram_broadcaster import Broadcaster
from aiogram_broadcaster.storage.redis import RedisMailerStorage
# from aiogram_broadcaster.storage.file import FileMailerStorage
# from aiogram_broadcaster.storage.mongodb import MongoDBMailerStorage
# from aiogram_broadcaster.storage.sqlalchemy import SQLAlchemyMailerStorage
# storage = FileMailerStorage()
# storage = MongoDBMailerStorage.from_url(url="mongodb://localhost:27017")
# storage = SQLAlchemyMailerStorage.from_url(url="sqlite+aiosqlite:///database.db")
storage = RedisMailerStorage.from_url(url="redis://localhost:6379")
broadcaster = Broadcaster(storage=storage)
Default mailer settings
The DefaultMailerSettings class defines the default properties for mailers created within the broadcaster. It allows setting various parameters like interval, dynamic_interval, run_on_startup, handle_retry_after, destroy_on_complete, and preserve. These properties provide flexibility and control over the behavior of mailers.
Parameters:
-
interval: The interval (in seconds) between successive message broadcasts. It defaults to 0, indicating immediate broadcasting.
-
dynamic_interval: A boolean flag indicating whether the interval should be adjusted dynamically based on the number of chats. If set to True, the interval will be divided equally among the chats.
-
run_on_startup: A boolean flag indicating whether the mailer should start broadcasting messages automatically on bot startup.
-
handle_retry_after: A boolean flag indicating whether the mailer should handle the TelegramAPIError error automatically.
-
destroy_on_complete: A boolean flag indicating whether the mailer should be destroyed automatically upon completing its operations.
-
preserve: A boolean flag indicating whether the mailer's state should be preserved even after completion. If set to True, the mailer's state will be stored in the specified storage.
Usage:
from aiogram_broadcaster import Broadcaster
from aiogram_broadcaster.mailer import DefaultMailerSettings
default = DefaultMailerSettings(
interval=60_000,
dynamic_interval=True,
run_on_startup=True,
handle_retry_after=True,
destroy_on_complete=True,
preserve=True,
)
broadcaster = Broadcaster(default=default)
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