pyroflow 0.2.1

Conversation-oriented Pyrogram extension with per-update listeners and multi-session coordination

pyroflow

Conversation-oriented Pyrogram extension with per-update listeners and multi-session coordination.

pyroflow builds on top of Pyrogram / Kurigram to replace the handler-based model with a conversation-first API — await a specific reply from a specific user instead of wiring up global handlers and managing state machines by hand.

pip install pyroflow

For Redis-backed coordination:

pip install pyroflow[redis]

---

Why pyroflow?

Pyrogram fires your handler for every incoming update of a given type. The moment you need a back-and-forth conversation you end up writing state machines, storing user_id → step in a dict, and hoping two updates don't race each other.

pyroflow solves all three problems:

Problem	pyroflow solution
Waiting for a specific reply	UpdateListener — await the next update from a user
Duplicate processing across multiple bot sessions	UpdateCoordinated — distributed lock per update
Replaying or inspecting previous handler steps	UpdateHistory — per-update-type handler record

---

Installation

Minimum requirements: Python 3.10+

pip install pyroflow          # core
pip install pyroflow[redis]   # + Redis coordinator support
pip install pyroflow[dev]     # + development tools (hatch, twine)

---

Quick start

from pyroflow import Client, MessageListener

client = Client("my_session")
client.register_listener(MessageListener())

@client.on_message()
async def on_start(client, message):
    if message.text != "/start":
        return

    answer = await message.ask(
        chat_id=message.chat.id,
        text="What is your name?",
        listen_user_id=message.from_user.id,
        timeout=60,
    )
    await answer.reply(f"Hello, {answer.text}!")

client.run()

---

Core concepts

Listeners

A UpdateListener is a typed queue bound to a Pyrogram update type. Any coroutine can await the next matching update from a specific user or chat. An update claimed by a listener never reaches the normal handler pipeline.

from pyroflow import Client, MessageListener
from pyroflow.errors import ListenerTimeout

client = Client("my_session")
client.register_listener(MessageListener())

@client.on_message()
async def on_confirm(client, message):
    if message.text != "/confirm":
        return

    await message.reply("Send your confirmation code:")

    try:
        code_msg = await client.message_listen(
            chat_id=message.chat.id,
            user_id=message.from_user.id,
            timeout=120,
        )
    except ListenerTimeout:
        await message.reply("Timed out. Please try again.")
        return

    await code_msg.reply(f"Code received: {code_msg.text}")

client.run()

Shortcuts for the two most common listener types:

client.message_listen    # UpdateListener[Message]
client.callback_listen   # UpdateListener[CallbackQuery]

---

ask()

ask() is the high-level wrapper around listeners. It sends (or edits) a message and then suspends until a matching reply arrives — all in one await.

# Send a new message, then wait for reply
answer = await client.ask(
    chat_id=chat_id,
    text="Choose an option:",
    reply_markup=keyboard,
    listen_user_id=user_id,
    timeout=30,
)

# Edit an existing message, then wait for a callback query
callback = await client.ask(
    chat_id=chat_id,
    text="Updated — choose again:",
    message_id=sent_msg.id,
    listen_user_id=user_id,
    timeout=30,
    update_type=CallbackQuery,
)

Parameters:

Parameter	Description
chat_id	Target chat
text	Message text
message_id	If provided, edits the message instead of sending a new one
listen_user_id	Filter the awaited update by user
listen_message_id	Filter the awaited update by message
timeout	Seconds to wait before raising ListenerTimeout
update_type	Update type to wait for — determines the return type (default: Message)
meta	Arbitrary metadata attached to the listener

Raises:

• ListenerTimeout — no reply arrived within timeout seconds
• ListenerCancelled — the listener was cancelled while waiting

---

Coordinators

A UpdateCoordinated acquires a distributed lock before processing an update. This ensures the same update is handled by exactly one session when the bot runs on multiple servers simultaneously.

from functools import partial
from redis.asyncio import Redis
from pyroflow import Client, MessageCoordinated, RedisUpdateCoordinator


client = Client("my_session")
redis = Redis(db=client.name)
coordinator_factory = partial(RedisUpdateCoordinator, redis)
coordinated = MessageCoordinated(coordinator_factory)
client.register_coordinated(coordinated)

client.run()

Supported backends:

Backend	Extra
Redis	pip install pyroflow[redis]

Lock states:

• HANDLED — at least one handler completed without error; lock is released and other sessions skip the update.
• None — no handler ran successfully; lock is released so another session may retry.

---

Histories

A UpdateHistory records which handlers ran successfully for each update. This enables features like back buttons that replay or inspect previous processing steps.

from pyroflow import Client, CallbackQueryHistory

client = Client("my_session")
client.register_history(CallbackQueryHistory())

client.run()

---

They can also be removed at runtime:

await client.unregister_listener(Message)
await client.unregister_coordinated(Message)
await client.unregister_history(CallbackQueryHistory)

---

Error handling

from pyroflow.errors import ListenerTimeout, ListenerCancelled

try:
    reply = await client.ask(chat_id, "Your input?", listen_user_id=uid, timeout=30)
except ListenerTimeout:
    await client.send_message(chat_id, "You took too long. Try again.")
except ListenerCancelled:
    await client.send_message(chat_id, "Session was cancelled.")

---

License

MIT