import logging
import os
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.dispatcher.filters.state import State, StatesGroup
from aiogram.types import ParseMode
from aiogram.utils import executor
from dotenv import load_dotenv
from pymongo import MongoClient


# Загружаем переменные окружения
load_dotenv()

# Получаем токен бота из переменных окружения
BOT_TOKEN = os.getenv("6188948983:AAEnk6wVvLJlxrCl3iY26X-_q0RDhdIkthM")

# Создаем подключение к MongoDB
client = MongoClient("MongoDB//localhotst:27017/")
db = client["service_center"]
orders_collection = db["orders"]

# Настраиваем логирование
logging.basicConfig(level=logging.INFO)

# Инициализируем бота и диспетчер
bot = Bot(token=BOT_TOKEN)
dp = Dispatcher(bot, storage=MemoryStorage())


# Определяем состояния для FSM
class OrderStates(StatesGroup):
    waiting_for_full_name = State()
    waiting_for_phone_number = State()
    waiting_for_issue = State()


# Обрабатываем команду /start
@dp.message_handler(commands=["start"])
async def cmd_start(message: types.Message):
    await message.answer(
        "Привет! Я бот сервисного центра по ремонту телефонов. Чтобы записаться на ремонт, отправь мне свои данные.\n"
        "Напиши свою фамилию и имя:"
    )

    # Переводим пользователя в состояние "waiting_for_full_name"
    await OrderStates.waiting_for_full_name.set()


# Обрабатываем ответ с фамилией и именем
@dp.message_handler(state=OrderStates.waiting_for_full_name)
async def process_full_name(message: types.Message, state: FSMContext):
    # Сохраняем фамилию и имя в контексте
    async with state.proxy() as data:
        data["full_name"] = message.text

    await message.answer("Отлично! Теперь напиши свой номер телефона:")

    # Переводим пользователя в состояние "waiting_for_phone_number"
    await OrderStates.waiting_for_phone_number.set()


# Обрабатываем ответ с номером телефона
@dp.message_handler(state=OrderStates.waiting_for_phone_number)
async def process_phone_number(message: types.Message, state: FSMContext):
    # Сохраняем номер телефона в контексте
    async with state.proxy() as data:
        data["phone_number"] = message.text

    await message.answer("Опиши проблему со своим телефоном:")

    # Переводим пользователя в состояние "waiting_for_issue"
    await OrderStates.waiting_for_issue.set()


# Обрабатываем ответ с описанием проблемы
@dp.message_handler(state=OrderStates.waiting_for_issue)
async def process_issue(message: types.Message, state: FSMContext):
    # Сохраняем описание проблемы в контексте
    async with state.proxy() as data:
        data["issue"] = message.text

        # Записываем данные клиента в базу данных
        orders_collection.insert_one({
            "full_name": data["full_name"],
            "phone_number": data["phone_number"],
            "issue": data["issue"]
        })

    await message.answer(
        "Спасибо за заказ! Мы свяжемся с вами в ближайшее время."
    )

    # Завершаем FSM и сбрасываем состояние
    await state.finish()


# Обрабатываем ошибки FSM
@dp.errors_handler(exception=FSMContext.WaitingForActivationError)
async def waiting_for_activation_error_handler(update, exception):
    logging.error(f"FSM waiting for activation error: {exception}")
    await bot.send_message(chat_id=update.message.chat_id, text="Произошла ошибка. Попробуйте еще раз.")


# Запускаем бота
if name == "__main__":
    executor.start_polling(dp, skip_updates=True) 

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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.

Tutorial & Syntax help

Loops

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When ever you want to perform a set of operations based on a condition IF-ELSE is used.

if conditional-expression
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Note:

Indentation is very important in Python, make sure the indentation is followed correctly

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For loop is used to iterate over arrays(list, tuple, set, dictionary) or strings.

Example:

mylist=("Iphone","Pixel","Samsung")
for i in mylist:
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Collections

There are four types of collections in Python.

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List is a collection which is ordered and can be changed. Lists are specified in square brackets.

Example:

mylist=["iPhone","Pixel","Samsung"]
print(mylist)

2. Tuple:

Tuple is a collection which is ordered and can not be changed. Tuples are specified in round brackets.

Example:

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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)

3. Set:

Set is a collection which is unordered and unindexed. Sets are specified in curly brackets.

Example:

myset = {"iPhone","Pixel","Samsung"}
print(myset)

4. Dictionary:

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.

Example:

mydict = {
    "brand" :"iPhone",
    "model": "iPhone 11"
}
print(mydict)

Supported Libraries

Following are the libraries supported by OneCompiler's Python compiler

NameDescription
NumPyNumPy python library helps users to work on arrays with ease
SciPySciPy is a scientific computation library which depends on NumPy for convenient and fast N-dimensional array manipulation
SKLearn/Scikit-learnScikit-learn or Scikit-learn is the most useful library for machine learning in Python
PandasPandas is the most efficient Python library for data manipulation and analysis
DOcplexDOcplex is IBM Decision Optimization CPLEX Modeling for Python, is a library composed of Mathematical Programming Modeling and Constraint Programming Modeling