import logging from aiogram import Bot, Dispatcher, types from aiogram.contrib.fsm_storage.memory import MemoryStorage from aiogram.dispatcher import FSMContext from aiogram.dispatcher.filters import Command from aiogram.types import InlineKeyboardMarkup, InlineKeyboardButton from aiogram import executor # Configure logging logging.basicConfig(level=logging.INFO) # Initialize bot and dispatcher bot = Bot(token="5648389310:AAEofKzl4hqnZI6FxUeEH_Qab6br0uypApQ") storage = MemoryStorage() dp = Dispatcher(bot, storage=storage) class ApplicationForm(StatesGroup): question1 = State() question2 = State() question3 = State() @dp.message_handler(Command("start")) async def start(message: types.Message): """ Handler for the /start command. Initiates the application process. """ await ApplicationForm.question1.set() await message.reply("Welcome to the application process! Please answer the following questions one by one.") # Ask the first question await message.reply("Question 1: What is your name?") @dp.message_handler(state=ApplicationForm.question1) async def process_question1(message: types.Message, state: FSMContext): """ Handler for processing the answer to question 1. """ # Save the answer to question 1 in the state await state.update_data(question1=message.text) # Ask the second question await ApplicationForm.next() await message.reply("Question 2: What is your age?") @dp.message_handler(state=ApplicationForm.question2) async def process_question2(message: types.Message, state: FSMContext): """ Handler for processing the answer to question 2. """ # Save the answer to question 2 in the state await state.update_data(question2=message.text) # Ask the third question await ApplicationForm.next() await message.reply("Question 3: Please provide the Telegram ID of the admin who invited you.") @dp.message_handler(state=ApplicationForm.question3) async def process_question3(message: types.Message, state: FSMContext): """ Handler for processing the answer to question 3. """ # Save the answer to question 3 in the state await state.update_data(question3=message.text) # Get the user's answers from the state user_data = await state.get_data() # Create the application message with the user's answers application_message = f"New application:\n\n" \ f"Question 1: {user_data['question1']}\n" \ f"Question 2: {user_data['question2']}\n" \ f"Question 3: {user_data['question3']}" # Create the inline keyboard with accept and reject buttons keyboard = InlineKeyboardMarkup(row_width=2) accept_button = InlineKeyboardButton("Accept", callback_data="accept") reject_button = InlineKeyboardButton("Reject", callback_data="reject") keyboard.add(accept_button, reject_button) # Send the application message to the admin chat with the inline keyboard await bot.send_message(chat_id="-1002103490242", text=application_message, reply_markup=keyboard) # Finish the application process await state.finish() await message.reply("Thank you for your application! It has been sent to the admins for review.") @dp.callback_query_handler(lambda c: c.data == "accept" or c.data == "reject") async def process_application_decision(callback_query: types.CallbackQuery): """ Handler for processing the application decision (accept or reject). """ # Get the decision from the callback data decision = callback_query.data # Send the decision message to the user if decision == "accept": await bot.send_message(chat_id=callback_query.from_user.id, text="Congratulations! Your application has been accepted.") else: await bot.send_message(chat_id=callback_query.from_user.id, text="Sorry, your application has been rejected.") # Answer the callback query await callback_query.answer() if __name__ == "__main__": # Start the bot executor.start_polling(dp)
Write, Run & Share Python code online using OneCompiler's Python online compiler for free. It's one of the robust, feature-rich online compilers for python language, supporting both the versions which are Python 3 and Python 2.7. Getting started with the OneCompiler's Python editor is easy and fast. The editor shows sample boilerplate code when you choose language as Python or Python2 and start coding.
OneCompiler's python online editor supports stdin and users can give inputs to programs using the STDIN textbox under the I/O tab. Following is a sample python program which takes name as input and print your name with hello.
import sys
name = sys.stdin.readline()
print("Hello "+ name)
Python is a very popular general-purpose programming language which was created by Guido van Rossum, and released in 1991. It is very popular for web development and you can build almost anything like mobile apps, web apps, tools, data analytics, machine learning etc. It is designed to be simple and easy like english language. It's is highly productive and efficient making it a very popular language.
When ever you want to perform a set of operations based on a condition IF-ELSE is used.
if conditional-expression
#code
elif conditional-expression
#code
else:
#code
Indentation is very important in Python, make sure the indentation is followed correctly
For loop is used to iterate over arrays(list, tuple, set, dictionary) or strings.
mylist=("Iphone","Pixel","Samsung")
for i in mylist:
print(i)
While is also used to iterate a set of statements based on a condition. Usually while is preferred when number of iterations are not known in advance.
while condition
#code
There are four types of collections in Python.
List is a collection which is ordered and can be changed. Lists are specified in square brackets.
mylist=["iPhone","Pixel","Samsung"]
print(mylist)
Tuple is a collection which is ordered and can not be changed. Tuples are specified in round brackets.
myTuple=("iPhone","Pixel","Samsung")
print(myTuple)
Below throws an error if you assign another value to tuple again.
myTuple=("iPhone","Pixel","Samsung")
print(myTuple)
myTuple[1]="onePlus"
print(myTuple)
Set is a collection which is unordered and unindexed. Sets are specified in curly brackets.
myset = {"iPhone","Pixel","Samsung"}
print(myset)
Dictionary is a collection of key value pairs which is unordered, can be changed, and indexed. They are written in curly brackets with key - value pairs.
mydict = {
"brand" :"iPhone",
"model": "iPhone 11"
}
print(mydict)
Following are the libraries supported by OneCompiler's Python compiler
Name | Description |
---|---|
NumPy | NumPy python library helps users to work on arrays with ease |
SciPy | SciPy is a scientific computation library which depends on NumPy for convenient and fast N-dimensional array manipulation |
SKLearn/Scikit-learn | Scikit-learn or Scikit-learn is the most useful library for machine learning in Python |
Pandas | Pandas is the most efficient Python library for data manipulation and analysis |
DOcplex | DOcplex is IBM Decision Optimization CPLEX Modeling for Python, is a library composed of Mathematical Programming Modeling and Constraint Programming Modeling |