### aiogram Deep Linking Examples

Source: https://docs.aiogram.dev/en/v3.22.0/dispatcher/finite_state_machine/wiki

Provides examples of how to implement deep linking in aiogram, allowing users to start a bot with a specific payload or state.

```python
# Example of handling a deep link
# @router.message()
# async def handle_deep_link(message: types.Message):
#     if message.text.startswith('/start '):
#         payload = message.text.split(' ', 1)[1]
#         await message.answer(f'Received payload: {payload}')
```

--------------------------------

### aiogram Deep Linking Examples

Source: https://docs.aiogram.dev/en/v3.22.0/dispatcher/via-filters

Provides examples of how to implement deep linking in aiogram, allowing users to start a bot with a specific payload or state.

```python
# Example of handling a deep link
# @router.message()
# async def handle_deep_link(message: types.Message):
#     if message.text.startswith('/start '):
#         payload = message.text.split(' ', 1)[1]
#         await message.answer(f'Received payload: {payload}')
```

--------------------------------

### AiohttpSession Initialization and Proxy Setup

Source: https://docs.aiogram.dev/en/v3.22.0/_modules/aiogram/client/session/aiohttp

Initializes the AiohttpSession with optional proxy support and connection limits. If a proxy is provided, it attempts to set up the proxy connector, raising a RuntimeError if the 'aiohttp-socks' library is not installed.

```Python
class AiohttpSession(BaseSession):
    def __init__(
        self,
        proxy: Optional[_ProxyType] = None,
        limit: int = 100,
        **kwargs: Any,
    ) -> None:
        """
        Client session based on aiohttp.

        :param proxy: The proxy to be used for requests. Default is None.
        :param limit: The total number of simultaneous connections. Default is 100.
        :param kwargs: Additional keyword arguments.
        """
        super().__init__(**kwargs)

        self._session: Optional[ClientSession] = None
        self._connector_type: Type[TCPConnector] = TCPConnector
        self._connector_init: Dict[str, Any] = {
            "ssl": ssl.create_default_context(cafile=certifi.where()),
            "limit": limit,
            "ttl_dns_cache": 3600,  # Workaround for https://github.com/aiogram/aiogram/issues/1500
        }
        self._should_reset_connector = True  # flag determines connector state
        self._proxy: Optional[_ProxyType] = None

        if proxy is not None:
            try:
                self._setup_proxy_connector(proxy)
            except ImportError as exc:  # pragma: no cover
                raise RuntimeError(
                    "In order to use aiohttp client for proxy requests, install "
                    "https://pypi.org/project/aiohttp-socks/"
                ) from exc

    def _setup_proxy_connector(self, proxy: _ProxyType) -> None:
        self._connector_type, self._connector_init = _prepare_connector(proxy)
        self._proxy = proxy

    @property
    def proxy(self) -> Optional[_ProxyType]:
        return self._proxy

    @proxy.setter
    def proxy(self, proxy: _ProxyType) -> None:
        self._setup_proxy_connector(proxy)
        self._should_reset_connector = True

```

--------------------------------

### Start Live Docs Preview

Source: https://docs.aiogram.dev/en/v3.22.0/contributing

Starts a live preview server for the aiogram documentation using sphinx-autobuild, watching for changes in the aiogram directory.

```bash
sphinx-autobuild --watch aiogram/ docs/ docs/_build/
```

--------------------------------

### Webhook Initialization and Setup

Source: https://docs.aiogram.dev/en/v3.22.0/dispatcher/webhook

Configures and starts an aiohttp web server for handling Telegram webhooks. Includes setting the webhook URL, certificate, and secret token.

```Python
import ssl
import logging
import sys

from aiogram import Bot, Dispatcher
from aiogram.client.default import DefaultBotProperties
from aiogram.enums import ParseMode
from aiogram.types import FSInputFile
from aiohttp import web

from aiogram.webhook.aiohttp_server import SimpleRequestHandler, setup_application

# Assume these constants are defined elsewhere
# BASE_WEBHOOK_URL = "YOUR_BASE_URL"
# WEBHOOK_PATH = "/webhook/"
# WEBHOOK_SSL_CERT = "path/to/your/cert.pem"
# WEBHOOK_SSL_PRIV = "path/to/your/private.key"
# WEBHOOK_SECRET = "YOUR_SECRET_TOKEN"
# TOKEN = "YOUR_BOT_TOKEN"
# WEB_SERVER_HOST = "0.0.0.0"
# WEB_SERVER_PORT = 8080

async def on_startup(bot: Bot) -> None:
    # In case when you have a self-signed SSL certificate, you need to send the certificate
    # itself to Telegram servers for validation purposes
    # (see https://core.telegram.org/bots/self-signed)
    # But if you have a valid SSL certificate, you SHOULD NOT send it to Telegram servers.
    await bot.set_webhook(
        f"{BASE_WEBHOOK_URL}{WEBHOOK_PATH}",
        certificate=FSInputFile(WEBHOOK_SSL_CERT),
        secret_token=WEBHOOK_SECRET,
    )

def main() -> None:
    # Dispatcher is a root router
    dp = Dispatcher()
    # ... and all other routers should be attached to Dispatcher
    dp.include_router(router) # Assuming 'router' is defined elsewhere

    # Register startup hook to initialize webhook
    dp.startup.register(on_startup)

    # Initialize Bot instance with default bot properties which will be passed to all API calls
    bot = Bot(token=TOKEN, default=DefaultBotProperties(parse_mode=ParseMode.HTML))

    # Create aiohttp.web.Application instance
    app = web.Application()

    # Create an instance of request handler,
    # aiogram has few implementations for different cases of usage
    # In this example we use SimpleRequestHandler which is designed to handle simple cases
    webhook_requests_handler = SimpleRequestHandler(
        dispatcher=dp,
        bot=bot,
        secret_token=WEBHOOK_SECRET,
    )
    # Register webhook handler on application
    webhook_requests_handler.register(app, path=WEBHOOK_PATH)

    # Mount dispatcher startup and shutdown hooks to aiohttp application
    setup_application(app, dp, bot=bot)

    # Generate SSL context
    context = ssl.SSLContext(ssl.PROTOCOL_TLSv1_2)
    context.load_cert_chain(WEBHOOK_SSL_CERT, WEBHOOK_SSL_PRIV)

    # And finally start webserver
    web.run_app(app, host=WEB_SERVER_HOST, port=WEB_SERVER_PORT, ssl_context=context)


if __name__ == "__main__":
    logging.basicConfig(level=logging.INFO, stream=sys.stdout)
    main()
```

--------------------------------

### aiogram Simple Usage Example

Source: https://docs.aiogram.dev/en/v3.22.0/dispatcher/finite_state_machine/wiki

This Python code demonstrates a simple aiogram bot setup. It includes handlers for the `/start` command and a general message echo handler. The bot uses asyncio for asynchronous operations and aiogram's Dispatcher to manage incoming messages. It requires a Telegram Bot API token and is configured to use HTML parse mode.

```python
import asyncio
import logging
import sys
from os import getenv

from aiogram import Bot, Dispatcher, html
from aiogram.client.default import DefaultBotProperties
from aiogram.enums import ParseMode
from aiogram.filters import CommandStart
from aiogram.types import Message

# Bot token can be obtained via https://t.me/BotFather
TOKEN = getenv("BOT_TOKEN")

# All handlers should be attached to the Router (or Dispatcher)

dp = Dispatcher()


@dp.message(CommandStart())
async def command_start_handler(message: Message) -> None:
    """
    This handler receives messages with `/start` command
    """
    # Most event objects have aliases for API methods that can be called in events' context
    # For example if you want to answer to incoming message you can use `message.answer(...)` alias
    # and the target chat will be passed to :ref:`aiogram.methods.send_message.SendMessage`
    # method automatically or call API method directly via
    # Bot instance: `bot.send_message(chat_id=message.chat.id, ...)`
    await message.answer(f"Hello, {html.bold(message.from_user.full_name)}!")


@dp.message()
async def echo_handler(message: Message) -> None:
    """
    Handler will forward receive a message back to the sender

    By default, message handler will handle all message types (like a text, photo, sticker etc.)
    """
    try:
        # Send a copy of the received message
        await message.send_copy(chat_id=message.chat.id)
    except TypeError:
        # But not all the types is supported to be copied so need to handle it
        await message.answer("Nice try!")


async def main() -> None:
    # Initialize Bot instance with default bot properties which will be passed to all API calls
    bot = Bot(token=TOKEN, default=DefaultBotProperties(parse_mode=ParseMode.HTML))

    # And the run events dispatching
    await dp.start_polling(bot)


if __name__ == "__main__":
    logging.basicConfig(level=logging.INFO, stream=sys.stdout)
    asyncio.run(main())

```

--------------------------------

### Install aiogram from GitHub

Source: https://docs.aiogram.dev/en/v3.22.0/dispatcher/finite_state_machine/wiki

Installs aiogram directly from its GitHub repository. This is useful for installing the latest development version or a specific commit.

```bash
pip install git+https://github.com/aiogram/aiogram.git
```

--------------------------------

### aiogram Simple Usage Example

Source: https://docs.aiogram.dev/en/v3.22.0/dispatcher/via-filters

This Python code demonstrates a simple aiogram bot setup. It includes handlers for the `/start` command and a general message echo handler. The bot uses asyncio for asynchronous operations and aiogram's Dispatcher to manage incoming messages. It requires a Telegram Bot API token and is configured to use HTML parse mode.

```python
import asyncio
import logging
import sys
from os import getenv

from aiogram import Bot, Dispatcher, html
from aiogram.client.default import DefaultBotProperties
from aiogram.enums import ParseMode
from aiogram.filters import CommandStart
from aiogram.types import Message

# Bot token can be obtained via https://t.me/BotFather
TOKEN = getenv("BOT_TOKEN")

# All handlers should be attached to the Router (or Dispatcher)

dp = Dispatcher()


@dp.message(CommandStart())
async def command_start_handler(message: Message) -> None:
    """
    This handler receives messages with `/start` command
    """
    # Most event objects have aliases for API methods that can be called in events' context
    # For example if you want to answer to incoming message you can use `message.answer(...)` alias
    # and the target chat will be passed to :ref:`aiogram.methods.send_message.SendMessage`
    # method automatically or call API method directly via
    # Bot instance: `bot.send_message(chat_id=message.chat.id, ...)`
    await message.answer(f"Hello, {html.bold(message.from_user.full_name)}!")


@dp.message()
async def echo_handler(message: Message) -> None:
    """
    Handler will forward receive a message back to the sender

    By default, message handler will handle all message types (like a text, photo, sticker etc.)
    """
    try:
        # Send a copy of the received message
        await message.send_copy(chat_id=message.chat.id)
    except TypeError:
        # But not all the types is supported to be copied so need to handle it
        await message.answer("Nice try!")


async def main() -> None:
    # Initialize Bot instance with default bot properties which will be passed to all API calls
    bot = Bot(token=TOKEN, default=DefaultBotProperties(parse_mode=ParseMode.HTML))

    # And the run events dispatching
    await dp.start_polling(bot)


if __name__ == "__main__":
    logging.basicConfig(level=logging.INFO, stream=sys.stdout)
    asyncio.run(main())

```

--------------------------------

### Complete aiogram Bot Example

Source: https://docs.aiogram.dev/en/v3.22.0/dispatcher/finite_state_machine/index

This is a comprehensive example of an aiogram bot that guides users through a series of questions to gather information. It uses the Finite State Machine (FSM) to manage the conversation flow, handles commands like /start and /cancel, and responds to user input with specific actions. The bot collects the user's name, whether they like writing bots, and their preferred programming language, then summarizes the collected information.

```Python
import asyncio
import logging
import sys
from os import getenv
from typing import Any, Dict

from aiogram import Bot, Dispatcher, F, Router, html
from aiogram.client.default import DefaultBotProperties
from aiogram.enums import ParseMode
from aiogram.filters import Command, CommandStart
from aiogram.fsm.context import FSMContext
from aiogram.fsm.state import State, StatesGroup
from aiogram.types import (
    KeyboardButton,
    Message,
    ReplyKeyboardMarkup,
    ReplyKeyboardRemove,
)

TOKEN = getenv("BOT_TOKEN")

form_router = Router()


class Form(StatesGroup):
    name = State()
    like_bots = State()
    language = State()


@form_router.message(CommandStart())
async def command_start(message: Message, state: FSMContext) -> None:
    await state.set_state(Form.name)
    await message.answer(
        "Hi there! What's your name?",
        reply_markup=ReplyKeyboardRemove(),
    )


@form_router.message(Command("cancel"))
@form_router.message(F.text.casefold() == "cancel")
async def cancel_handler(message: Message, state: FSMContext) -> None:
    """
    Allow user to cancel any action
    """
    current_state = await state.get_state()
    if current_state is None:
        return

    logging.info("Cancelling state %r", current_state)
    await state.clear()
    await message.answer(
        "Cancelled.",
        reply_markup=ReplyKeyboardRemove(),
    )


@form_router.message(Form.name)
async def process_name(message: Message, state: FSMContext) -> None:
    await state.update_data(name=message.text)
    await state.set_state(Form.like_bots)
    await message.answer(
        f"Nice to meet you, {html.quote(message.text)}!\nDid you like to write bots?",
        reply_markup=ReplyKeyboardMarkup(
            keyboard=[
                [
                    KeyboardButton(text="Yes"),
                    KeyboardButton(text="No"),
                ]
            ],
            resize_keyboard=True,
        ),
    )


@form_router.message(Form.like_bots, F.text.casefold() == "no")
async def process_dont_like_write_bots(message: Message, state: FSMContext) -> None:
    data = await state.get_data()
    await state.clear()
    await message.answer(
        "Not bad not terrible.\nSee you soon.",
        reply_markup=ReplyKeyboardRemove(),
    )
    await show_summary(message=message, data=data, positive=False)


@form_router.message(Form.like_bots, F.text.casefold() == "yes")
async def process_like_write_bots(message: Message, state: FSMContext) -> None:
    await state.set_state(Form.language)

    await message.reply(
        "Cool! I'm too!\nWhat programming language did you use for it?",
        reply_markup=ReplyKeyboardRemove(),
    )


@form_router.message(Form.like_bots)
async def process_unknown_write_bots(message: Message) -> None:
    await message.reply("I don't understand you :(")


@form_router.message(Form.language)
async def process_language(message: Message, state: FSMContext) -> None:
    data = await state.update_data(language=message.text)
    await state.clear()

    if message.text.casefold() == "python":
        await message.reply(
            "Python, you say? That's the language that makes my circuits light up! 😉"
        )

    await show_summary(message=message, data=data)


async def show_summary(message: Message, data: Dict[str, Any], positive: bool = True) -> None:
    name = data["name"]
    language = data.get("language", "<something unexpected>")
    text = f"I'll keep in mind that, {html.quote(name)}, "
    text += (
        f"you like to write bots with {html.quote(language)}."
        if positive
        else "you don't like to write bots, so sad..."
    )
    await message.answer(text=text, reply_markup=ReplyKeyboardRemove())


async def main():
    # Initialize Bot instance with default bot properties which will be passed to all API calls
    bot = Bot(token=TOKEN, default=DefaultBotProperties(parse_mode=ParseMode.HTML))

    dp = Dispatcher()

    dp.include_router(form_router)

    # Start event dispatching
    await dp.start_polling(bot)


if __name__ == "__main__":
    logging.basicConfig(level=logging.INFO, stream=sys.stdout)
    asyncio.run(main())
```

--------------------------------

### Complete FSM Example - Python

Source: https://docs.aiogram.dev/en/v3.22.0/_sources/dispatcher/finite_state_machine/index

Provides a complete, runnable example of an FSM implementation in aiogram, covering multiple states and transitions.

```python
import asyncio
from enum import Enum

from aiogram import Bot, Dispatcher, types
from aiogram.contrib.fsm_storage.memory import MemoryStorage
from aiogram.dispatcher import FSMContext
from aiogram.dispatcher.filters import Text
from aiogram.utils import executor

API_TOKEN = '...'

# For example, a simple state machine for collecting data
class Form(Enum):
    """A collection of states"""

    name = 1
    like_bots = 2
    language = 3


# Initialize bot and dispatcher
bot = Bot(token=API_TOKEN)
storage = MemoryStorage()
dp = Dispatcher(bot, storage=storage)


@dp.message_handler(commands=['start'])
async def command_start(message: types.Message):
    """User starts dialog and enters 'name' state"""

    # Flushes all user data when new dialog starts
    await Form.name.set()  # set initial state
    await message.reply("I need your name")


@dp.message_handler(state=Form.name)
async def process_name(message: types.Message, state: FSMContext):
    """Save user name and ask about favorite bots"""
    async with state.proxy() as data:
        data['name'] = message.text

    # finishing current state
    await Form.next()
    await message.reply("What is your favorite bot?")


@dp.message_handler(lambda message: not message.text.startswith("/"), state=Form.like_bots)
async def process_like_write_bots(message: types.Message, state: FSMContext):
    """Save favorite bot and ask about programming language"""
    async with state.proxy() as data:
        data['like_bots'] = message.text

    await Form.next()
    await message.reply("Perfect, which programming language do you want to learn?")


@dp.message_handler(state='*', commands='cancel')
@dp.message_handler(Text(equals='cancel', ignore_case=True), state='*')
async def cancel_handler(message: types.Message, state: FSMContext):
    """Allow user to cancel any action"""
    current_state = await state.get_state()
    if current_state is None:
        # User is in no state, so ignore it
        return

    await state.finish()
    await message.reply('Cancelled.')


@dp.message_handler(state=Form.language)
async def process_language(message: types.Message, state: FSMContext):
    """Save language and finish conversation"""
    async with state.proxy() as data:
        data['language'] = message.text

    await message.reply("Done, thank you!")

    # Fetch data from state storage
    await message.answer(str(data))

    # Finish conversation
    await state.finish()


if __name__ == '__main__':
    executor.start_polling(dp, skip_updates=True)
```

--------------------------------

### BaseStorage Methods for State and Data Management

Source: https://docs.aiogram.dev/en/v3.22.0/dispatcher/index

Provides examples of core methods in BaseStorage for managing bot states and data, including setting, getting, updating, and closing storage connections.

```Python
await base_storage.set_state(state)
await base_storage.get_state()
await base_storage.set_data(data)
await base_storage.get_data()
await base_storage.update_data(data)
await base_storage.close()
```

--------------------------------

### Start FSM Dialog - Python

Source: https://docs.aiogram.dev/en/v3.22.0/_sources/dispatcher/finite_state_machine/index

Handles the '/start' command to initiate a dialog and transitions the user to the 'Form.name' state, starting the FSM process.

```python
@dp.message_handler(commands=['start'])
async def command_start(message: types.Message):
    """User starts dialog and enters 'name' state"""

    # Flushes all user data when new dialog starts
    await Form.name.set()  # set initial state
    await message.reply("I need your name")
```

--------------------------------

### Quiz Example

Source: https://docs.aiogram.dev/en/v3.22.0/_sources/dispatcher/finite_state_machine/scene

This is a comprehensive example of a quiz game implemented using aiogram scenes, showcasing various handlers and transitions.

```python
# Example code for quiz_scene.py would go here, demonstrating Scene, on.exit, on.leave, etc.
```

--------------------------------

### Install aiogram from PyPI

Source: https://docs.aiogram.dev/en/v3.22.0/dispatcher/finite_state_machine/wiki

Installs the aiogram library using pip, the Python package installer. This is the most common method for obtaining the latest stable release.

```bash
pip install aiogram
```

--------------------------------

### Aiogram Multi-file Bot Example

Source: https://docs.aiogram.dev/en/v3.22.0/changelog

Includes a multi-file bot example in the Aiogram repository. This provides a practical demonstration of how to structure larger Aiogram projects.

```Python
# This update includes the addition of a multi-file bot example to the repository.
```

--------------------------------

### Start Sphinx Live Preview

Source: https://docs.aiogram.dev/en/v3.22.0/_sources/contributing

Builds and serves the documentation locally using sphinx-autobuild, allowing for live preview of changes as they are made.

```bash
sphinx-autobuild --watch aiogram/ docs/ docs/_build/
```

--------------------------------

### Combine filters with OR operator

Source: https://docs.aiogram.dev/en/v3.22.0/_sources/dispatcher/filters/magic_filters

This example combines two filters using the bitwise OR operator. It passes if the text starts with 'a' OR ends with 'b'.

```python
F.text.startswith('a') | F.text.endswith('b')
```

--------------------------------

### View Translated Documentation

Source: https://docs.aiogram.dev/en/v3.22.0/contributing

Starts a live preview server for the aiogram documentation, rendering it in a specified language.

```bash
sphinx-autobuild --watch aiogram/ docs/ docs/_build/ -D language=<language_code>
```

--------------------------------

### Create Basic Start Link with aiogram

Source: https://docs.aiogram.dev/en/v3.22.0/utils/deep_linking

Demonstrates how to create a basic deep link using the `create_start_link` function from aiogram. This link can be used to pass parameters to a bot on startup.

```Python
from aiogram.utils.deep_linking import create_start_link

link = await create_start_link(bot, 'foo')

# result: 'https://t.me/MyBot?start=foo'
```

--------------------------------

### I18nMiddleware Configuration and Locale Handling

Source: https://docs.aiogram.dev/en/v3.22.0/utils/index

Details the setup and usage of I18nMiddleware for internationalization, including methods to get and set the current locale.

```python
from aiogram.contrib.middlewares.i18n import I18nMiddleware

# Assuming 'dp' is your Dispatcher instance
dp.middleware.setup(I18nMiddleware(locale='en', path='locales'))

# To get the current locale:
# current_locale = dp.current_state().get_state_data().get('locale')

# To set the locale (example within a handler):
# await dp.storage.set_state_data(chat=message.chat.id, data={'locale': 'es'})
```

--------------------------------

### AiohttpSession with Proxy

Source: https://docs.aiogram.dev/en/v3.22.0/api/session/aiohttp

This example shows how to configure AiohttpSession to use proxy requests. It requires the aiohttp-socks library to be installed. The proxy can be specified as a URL string.

```python
from aiogram import Bot
from aiogram.client.session.aiohttp import AiohttpSession

session = AiohttpSession(proxy="protocol://host:port/")
bot = Bot(token="bot token", session=session)
```

--------------------------------

### Start Dialog and Transition to Name State

Source: https://docs.aiogram.dev/en/v3.22.0/dispatcher/finite_state_machine/index

Handles the initial `/start` command to begin a dialog, sets the user's state to `Form.name`, and prompts for their name. This is the entry point for the FSM-driven conversation.

```Python
@form_router.message(CommandStart())
async def command_start(message: Message, state: FSMContext) -> None:
    await state.set_state(Form.name)
    await message.answer(
        "Hi there! What's your name?",
        reply_markup=ReplyKeyboardRemove(),
    )
```

--------------------------------

### Initialize Dispatcher

Source: https://docs.aiogram.dev/en/v3.22.0/_sources/dispatcher/dispatcher

Demonstrates the basic initialization of an aiogram Dispatcher instance. This is the starting point for setting up event handling.

```python
dp = Dispatcher()
```

--------------------------------

### Setup Development Environment with Virtualenv

Source: https://docs.aiogram.dev/en/v3.22.0/dispatcher/via-filters

This section guides users on setting up a virtual environment for aiogram development. It covers activating the environment and preparing the project for making changes.

```Bash
virtualenv venv
. venv/bin/activate
```

--------------------------------

### Get File Path using Aiogram

Source: https://docs.aiogram.dev/en/v3.22.0/_sources/api/download_file

After obtaining the file_id, this code demonstrates how to use the `get_file` method to fetch the file_path from the Telegram API via Aiogram.

```Python
file = await bot.get_file(file_id)
file_path = file.file_path
```

--------------------------------

### Get File ID for Aiogram Download

Source: https://docs.aiogram.dev/en/v3.22.0/_sources/api/download_file

This snippet shows how to retrieve the file_id from an incoming message, which is the first step in manually downloading a file using Aiogram.

```Python
file_id = message.document.file_id
```

--------------------------------

### Initialize Router and Command Handler

Source: https://docs.aiogram.dev/en/v3.22.0/dispatcher/webhook

Sets up a basic Aiogram router and a handler for the `/start` command. The handler sends a personalized greeting to the user.

```Python
from aiogram import Bot, Dispatcher, Router, types
from aiogram.filters.command import CommandStart
from aiogram.utils.markdown import hbold

router = Router()


@router.message(CommandStart())
async def command_start_handler(message: types.Message) -> None:
    """
    This handler receives messages with `/start` command
    """
    await message.answer(f"Hello, {hbold(message.from_user.full_name)}!")
```

--------------------------------

### Setup aiohttp Application for aiogram

Source: https://docs.aiogram.dev/en/v3.22.0/_modules/aiogram/webhook/aiohttp_server

Configures the startup and shutdown processes for an aiohttp application integrated with an aiogram dispatcher. It emits startup and shutdown signals to the dispatcher.

```Python
import asyncio
import secrets
from abc import ABC, abstractmethod
from asyncio import Transport
from typing import Any, Awaitable, Callable, Dict, Optional, Set, Tuple, cast

from aiohttp import JsonPayload, MultipartWriter, Payload, web
from aiohttp.typedefs import Handler
from aiohttp.web_app import Application
from aiohttp.web_middlewares import middleware

from aiogram import Bot, Dispatcher, loggers
from aiogram.methods import TelegramMethod
from aiogram.methods.base import TelegramType
from aiogram.types import InputFile
from aiogram.webhook.security import IPFilter


def setup_application(app: Application, dispatcher: Dispatcher, /, **kwargs: Any) -> None:
    """
    This function helps to configure a startup-shutdown process

    :param app: aiohttp application
    :param dispatcher: aiogram dispatcher
    :param kwargs: additional data
    :return:
    """
    workflow_data = {
        "app": app,
        "dispatcher": dispatcher,
        **dispatcher.workflow_data,
        **kwargs,
    }

    async def on_startup(*a: Any, **kw: Any) -> None:  # pragma: no cover
        await dispatcher.emit_startup(**workflow_data)

    async def on_shutdown(*a: Any, **kw: Any) -> None:  # pragma: no cover
        await dispatcher.emit_shutdown(**workflow_data)

    app.on_startup.append(on_startup)
    app.on_shutdown.append(on_shutdown)

```

--------------------------------

### Short Way to Download File with Aiogram

Source: https://docs.aiogram.dev/en/v3.22.0/_sources/api/download_file

This example shows the shortcut method `download` in Aiogram, which allows downloading a file directly using a `file_id` or a `Downloadable` object, simplifying the process.

```Python
document = message.document
await bot.download(document)
```

--------------------------------

### RedisStorage Initialization from URL

Source: https://docs.aiogram.dev/en/v3.22.0/dispatcher/finite_state_machine/storages

Creates an instance of RedisStorage by providing a Redis connection string URL. This method simplifies the setup process for Redis connections. It accepts optional connection keyword arguments and other parameters for RedisStorage.

```python
from aiogram.fsm.storage.redis import RedisStorage

redis_url = "redis://user:password@host:port/db"
storage = RedisStorage.from_url(redis_url)
```

--------------------------------

### Migrate to PyMongoStorage

Source: https://docs.aiogram.dev/en/v3.22.0/changelog

This guide explains the migration from `MongoStorage` (using the deprecated `motor` package) to `PyMongoStorage` (using the new `async` PyMongo). It highlights that only the package installation and class substitution are required, simplifying the transition.

```python
# Before migration (using motor):
# from aiogram.contrib.fsm_storage.memory import MemoryStorage
# from aiogram.contrib.fsm_storage.mongo import MongoStorage

# storage = MongoStorage(host='mongodb://localhost:27017/mydatabase')

# After migration (using PyMongo):
from aiogram.fsm.storage.mongo import MongoStorage

# Ensure you have installed PyMongo: pip install pymongo
storage = MongoStorage(host='mongodb://localhost:27017/mydatabase')
```

--------------------------------

### Download File to Disk with Aiogram

Source: https://docs.aiogram.dev/en/v3.22.0/_sources/api/download_file

This example illustrates how to download a file to a specified path on the disk using the `download_file` method in Aiogram. The method returns nothing upon successful download to disk.

```Python
await bot.download_file(file_path, "text.txt")
```

--------------------------------

### Download File to Binary I/O Object with Aiogram (Default)

Source: https://docs.aiogram.dev/en/v3.22.0/_sources/api/download_file

This example demonstrates downloading a file to a default `io.BytesIO` object using Aiogram's `download_file` method when no destination is specified. The method returns the created BytesIO object.

```Python
result: io.BytesIO = await bot.download_file(file_path)
```

--------------------------------

### Create Scene Entry Point Handler in aiogram

Source: https://docs.aiogram.dev/en/v3.22.0/dispatcher/finite_state_machine/scene

Shows how to create an entry point handler for a scene using the `as_handler` class method. This simplifies the process of starting a scene from a handler.

```python
_aiogram.fsm.scene.Scene._as_handler(_** handler_kwargs: Any_)
```

--------------------------------

### Setup aiogram Webhook Behind Reverse Proxy

Source: https://docs.aiogram.dev/en/v3.22.0/dispatcher/webhook

This example demonstrates how to configure an aiogram bot to use webhooks when running behind a reverse proxy such as Nginx. It sets up an aiohttp web server to handle incoming Telegram requests and includes essential bot and webhook configurations.

```Python
import logging
import sys
from os import getenv

from aiohttp import web

from aiogram import Bot, Dispatcher, Router
from aiogram.client.default import DefaultBotProperties
from aiogram.enums import ParseMode
from aiogram.filters import CommandStart
from aiogram.types import Message
from aiogram.utils.markdown import hbold
from aiogram.webhook.aiohttp_server import SimpleRequestHandler, setup_application

# Bot token can be obtained via https://t.me/BotFather
TOKEN = getenv("BOT_TOKEN")

# Webserver settings
# bind localhost only to prevent any external access
WEB_SERVER_HOST = "127.0.0.1"
# Port for incoming request from reverse proxy. Should be any available port
WEB_SERVER_PORT = 8080

# Path to webhook route, on which Telegram will send requests
WEBHOOK_PATH = "/webhook"
# Secret key to validate requests from Telegram (optional)
WEBHOOK_SECRET = "my-secret"
# Base URL for webhook will be used to generate webhook URL for Telegram,
# in this example it is used public DNS with HTTPS support
BASE_WEBHOOK_URL = "https://aiogram.dev"
```

--------------------------------

### PyMongoStorage Initialization from URL

Source: https://docs.aiogram.dev/en/v3.22.0/dispatcher/finite_state_machine/storages

Creates an instance of PyMongoStorage using a MongoDB connection string URL. This simplifies the connection setup for MongoDB. It accepts optional connection keyword arguments and other parameters for PyMongoStorage.

```python
from aiogram.fsm.storage.pymongo import PyMongoStorage

mongo_url = "mongodb://user:password@host:port"
storage = PyMongoStorage.from_url(mongo_url)
```

--------------------------------

### Initialize Dispatcher and Handle Messages

Source: https://docs.aiogram.dev/en/v3.22.0/dispatcher/dispatcher

Demonstrates how to initialize a Dispatcher and define a message handler to send a reply. This is a basic example of setting up event handling in aiogram.

```python
dp = Dispatcher()

@dp.message()
async def message_handler(message: types.Message) -> None:
    await SendMessage(chat_id=message.from_user.id, text=message.text)
```

--------------------------------

### Install aiogram from GitHub

Source: https://docs.aiogram.dev/en/v3.22.0/dispatcher/via-filters

Installs aiogram directly from its GitHub repository. This is useful for installing the latest development version or a specific commit.

```bash
pip install git+https://github.com/aiogram/aiogram.git
```

--------------------------------

### RedisStorage Initialization and URL Configuration

Source: https://docs.aiogram.dev/en/v3.22.0/dispatcher/index

Demonstrates how to initialize RedisStorage and configure it using a connection URL. This is useful for setting up persistent storage for bot states and data.

```Python
redis_storage = RedisStorage(redis_client)
redis_storage = RedisStorage.from_url("redis://localhost:6379/0")
```

--------------------------------

### Invert filter result (not starts with)

Source: https://docs.aiogram.dev/en/v3.22.0/_sources/dispatcher/filters/magic_filters

This filter inverts the result of checking if the 'text' attribute starts with 'spam'. It passes if the text does not start with 'spam'.

```python
~F.text.startswith('spam')  # lambda message: not message.text.startswith('spam')
```

--------------------------------

### Install aiogram from PyPI

Source: https://docs.aiogram.dev/en/v3.22.0/dispatcher/via-filters

Installs the aiogram library using pip, the Python package installer. This is the most common method for obtaining the latest stable release.

```bash
pip install aiogram
```

--------------------------------

### Install aiogram from PyPI

Source: https://docs.aiogram.dev/en/v3.22.0/install

Installs or upgrades the aiogram library to the latest version available on the Python Package Index (PyPI). This is the recommended method for most users.

```bash
pip install -U aiogram
```

--------------------------------

### MongoStorage Initialization from URL (Deprecated)

Source: https://docs.aiogram.dev/en/v3.22.0/dispatcher/finite_state_machine/storages

Creates an instance of the deprecated MongoStorage using a MongoDB connection string URL. This simplifies the connection setup. It accepts optional connection keyword arguments and other parameters. Use PyMongoStorage instead.

```python
from aiogram.fsm.storage.mongo import MongoStorage

mongo_url = "mongodb://user:password@host:port"
storage = MongoStorage.from_url(mongo_url)
```

--------------------------------

### Install Babel for Aiogram

Source: https://docs.aiogram.dev/en/v3.22.0/_sources/utils/i18n

Installs the Babel library, which is required for extracting translation strings from aiogram code. It can be installed via pip or as an extra dependency of aiogram.

```bash
pip install Babel
```

```bash
pip install aiogram[i18n]
```

--------------------------------

### SimpleRequestHandler Initialization and Methods

Source: https://docs.aiogram.dev/en/v3.22.0/dispatcher/index

Demonstrates the initialization and key methods of SimpleRequestHandler for processing webhook requests, including registration and bot resolution.

```Python
handler = SimpleRequestHandler(webhook_info)
handler.close()
handler.register(webhook_info)
handler.resolve_bot(webhook_info)
```

--------------------------------

### Scene Handler Registration

Source: https://docs.aiogram.dev/en/v3.22.0/_sources/dispatcher/finite_state_machine/scene

Demonstrates how to register a scene's entry point as a handler using the 'as_handler()' method with a command.

```python
from aiogram import F, Router
from aiogram.filters import Command
from aiogram.types import Message

router = Router()

# Assuming SettingsScene is defined elsewhere
# class SettingsScene(Scene):
#     ...

# router.message.register(SettingsScene.as_handler(), Command("settings"))
```

--------------------------------

### Install Babel for aiogram

Source: https://docs.aiogram.dev/en/v3.22.0/utils/i18n

Installs the Babel library, which is required for extracting translation strings from your aiogram code. It can be installed directly via pip or as an extra dependency of aiogram.

```bash
pip install Babel
```

```bash
pip install aiogram[i18n]
```

--------------------------------

### Aiogram Examples Refactoring with Enumerations and Markdown

Source: https://docs.aiogram.dev/en/v3.22.0/changelog

Refactors Aiogram's example code to use Aiogram enumerations and enhances chat messages with markdown beautification. This improves the clarity and presentation of the examples.

```Python
# Refactored examples code to use aiogram enumerations and enhanced chat messages with markdown beautification’s for a more user-friendly display.
```