Rubigram
A simple and flexible Python library for building advanced Rubika bots with powerful message handling, inline buttons, and custom filters.
Install / Use
/learn @DevJavad/RubigramREADME
Rubigram
Rubigram is a powerful asynchronous Python framework for building advanced bots on Rubika, offering features like concurrent message handling, advanced filtering, and support for both webhooks and polling.
Features
- Asynchronous and fast: handle multiple messages concurrently.
- Advanced filters for private chats, commands, and text messages.
- Easy message and media sending (text, images, videos, files).
- Support for both webhooks and polling.
- Interactive keyboards and buttons for better user engagement.
- Flexible integration with databases for storing settings and data.
Start
from rubigram import Client, filters
from rubigram.types import Update
client = Client("bot_token")
@client.on_message(filters.command("start"))
async def start(client: Client, update: Update):
await update.reply("||Hello|| __from__ **Rubigram!**")
client.run()
Button and Keypad
from rubigram import Client, filters
from rubigram.enums import ChatKeypadType
from rubigram.types import Update, Keypad, Button, KeypadRow
client = Client("bot_token")
@client.on_message(filters.photo)
async def start(client: Client, update: Update):
button_1 = Button("send", "send Photo")
button_2 = Button("save", "Save Photo")
row = KeypadRow([button_1, button_2])
keypad = Keypad([row])
await update.reply(
"Select your action:",
chat_keypad=keypad,
chat_keypad_type=ChatKeypadType.NEW
)
client.run()
Use webhook and Get inline button data
from rubigram import Client, Server, filters
from rubigram.types import (
Update,
Button,
Keypad,
KeypadRow,
InlineMessage
)
client = Client(token="bot_token")
server = Server(client, "webhook_url")
@client.on_message(filters.photo)
async def start(client: Client, update: Update):
button_1 = Button("send", "send Photo")
button_2 = Button("save", "Save Photo")
row = KeypadRow([button_1, button_2])
keypad = Keypad([row])
await update.reply("Select your action:", inline_keypad=keypad)
@client.on_inline_message(filters.button(["send", "save"]))
async def inline_message(client: Client, message: InlineMessage):
button_id = message.aux_data.button_id
if button_id == "send":
await message.answer("You clicked the send button")
else:
await message.answer("You clicked the save button")
@client.on_start()
async def start(client):
print("Start bot ....")
@client.on_stop()
async def stop(client):
print("Stop bot")
server.run_server()
Auto state and save tmp data in cache
from rubigram import Client, Storage, filters
from rubigram.types import Update
storage = Storage(ttl=120)
client = Client("bot_token", storage=storage) # You can leave the `storage` parametr empty
@client.on_message(filters.command("start") & filters.private)
async def start(client: Client, update: Update):
state = client.state(update.chat_id)
await state.set("name")
await update.reply("Send your name:")
@client.on_message(filters.state("name") & filters.text & filters.private)
async def save_name(client: Client, update: Update):
state = client.state(update.chat_id)
await state.set("email", name=update.text)
await update.reply("Send your Email:")
@client.on_message(filters.state("email") & filters.text & filters.private)
async def save_email(client: Client, update: Update):
state = client.state(update.chat_id)
data = await state.get()
print(data)
await state.delete()
client.run()
Implementation of multiple programs
from rubigram import Client
import asyncio
tokens = ["TOKEN_1", "TOKEN_2"]
async def main():
for token in tokens:
async with Client(token) as client:
info = await client.get_me()
print(info)
asyncio.run(main())
Rubino
from rubigram.rubino import Rubino
import asyncio
async def main():
async with Rubino(auth="auth_account") as client:
info = await client.get_my_profile_info()
print(info)
asyncio.run(main())
Related Skills
node-connect
347.9kDiagnose OpenClaw node connection and pairing failures for Android, iOS, and macOS companion apps
frontend-design
108.7kCreate distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
openai-whisper-api
347.9kTranscribe audio via OpenAI Audio Transcriptions API (Whisper).
qqbot-media
347.9kQQBot 富媒体收发能力。使用 <qqmedia> 标签,系统根据文件扩展名自动识别类型(图片/语音/视频/文件)。
