forked from kodorvan/stcs
468 lines
18 KiB
Python
468 lines
18 KiB
Python
import logging.config
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from aiogram import F, Router
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from aiogram.fsm.context import FSMContext
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from aiogram.types import CallbackQuery, Message
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import app.telegram.keyboards.inline as kbi
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import database.request as rq
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from app.helper_functions import is_int
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from app.telegram.states.states import RiskManagementState
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from logger_helper.logger_helper import LOGGING_CONFIG
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logging.config.dictConfig(LOGGING_CONFIG)
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logger = logging.getLogger("risk_management")
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router_risk_management = Router(name="risk_management")
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@router_risk_management.callback_query(F.data == "take_profit_percent")
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async def take_profit_percent(callback_query: CallbackQuery, state: FSMContext) -> None:
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"""
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Handles the 'profit_price_change' callback query.
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Clears the current FSM state, edits the message text to display the take profit percent options,
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and shows an inline keyboard for selection.
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Args:
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callback_query (CallbackQuery): Incoming callback query from Telegram inline keyboard.
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state (FSMContext): Finite State Machine context for the current user session.
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Logs:
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Success or error messages with user identification.
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"""
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try:
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await state.clear()
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await state.set_state(RiskManagementState.take_profit_percent_state)
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msg = await callback_query.message.edit_text(
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text="Введите процент изменения цены для фиксации прибыли: ",
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reply_markup=kbi.back_to_risk_management,
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)
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await state.update_data(prompt_message_id=msg.message_id)
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logger.debug(
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"Command profit_price_change processed successfully for user: %s",
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callback_query.from_user.id,
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)
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except Exception as e:
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await callback_query.answer(
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text="Произошла ошибка. Пожалуйста, попробуйте позже."
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)
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logger.error(
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"Error processing command profit_price_change for user %s: %s",
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callback_query.from_user.id,
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e,
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)
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@router_risk_management.message(RiskManagementState.take_profit_percent_state)
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async def set_take_profit_percent(message: Message, state: FSMContext) -> None:
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"""
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Handles user input for setting the take profit percentage.
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Updates FSM context with the selected percentage and persists the choice in database.
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Sends an acknowledgement to user and clears FSM state afterward.
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Args:
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message (Message): Incoming message from user containing the take profit percentage.
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state (FSMContext): Finite State Machine context for the current user session.
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Logs:
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Success or error messages with user identification.
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"""
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try:
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try:
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data = await state.get_data()
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if "prompt_message_id" in data:
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prompt_message_id = data["prompt_message_id"]
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await message.bot.delete_message(
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chat_id=message.chat.id, message_id=prompt_message_id
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)
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await message.delete()
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except Exception as e:
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if "message to delete not found" in str(e).lower():
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pass # Ignore this error
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else:
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raise e
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take_profit_percent_value = message.text
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if not is_int(take_profit_percent_value):
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await message.answer(
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text="Ошибка: введите валидное число.",
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reply_markup=kbi.back_to_risk_management,
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)
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logger.debug(
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"User %s input invalid (not an valid number): %s",
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message.from_user.id,
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take_profit_percent_value,
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)
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return
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if int(take_profit_percent_value) < 1 or int(take_profit_percent_value) > 100:
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await message.answer(
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text="Ошибка: введите число от 1 до 100.",
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reply_markup=kbi.back_to_risk_management,
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)
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logger.debug(
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"User %s input invalid (not an valid number): %s",
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message.from_user.id,
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take_profit_percent_value,
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)
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return
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req = await rq.set_take_profit_percent(
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tg_id=message.from_user.id,
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take_profit_percent=int(take_profit_percent_value),
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)
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if req:
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await message.answer(
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text=f"Процент изменения цены для фиксации прибыли "
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f"установлен на {take_profit_percent_value}%.",
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reply_markup=kbi.back_to_risk_management,
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)
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else:
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await message.answer(
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text="Произошла ошибка при установке процента изменения цены для фиксации прибыли. "
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"Пожалуйста, попробуйте позже.",
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reply_markup=kbi.back_to_risk_management,
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)
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await state.clear()
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except Exception as e:
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logger.error(
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"Error processing command profit_price_change for user %s: %s",
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message.from_user.id,
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e,
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)
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@router_risk_management.callback_query(F.data == "stop_loss_percent")
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async def stop_loss_percent(callback_query: CallbackQuery, state: FSMContext) -> None:
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"""
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Handles the 'stop_loss_percent' callback query.
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Clears the current FSM state, edits the message text to display the stop loss percentage options,
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and shows an inline keyboard for selection.
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Args:
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callback_query (CallbackQuery): Incoming callback query from Telegram inline keyboard.
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state (FSMContext): Finite State Machine context for the current user session.
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Logs:
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Success or error messages with user identification.
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"""
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try:
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await state.clear()
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await state.set_state(RiskManagementState.stop_loss_percent_state)
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msg = await callback_query.message.edit_text(
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text="Введите процент изменения цены для фиксации убытка: ",
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reply_markup=kbi.back_to_risk_management,
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)
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await state.update_data(prompt_message_id=msg.message_id)
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logger.debug(
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"Command stop_loss_percent processed successfully for user: %s",
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callback_query.from_user.id,
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)
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except Exception as e:
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await callback_query.answer(
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text="Произошла ошибка. Пожалуйста, попробуйте позже."
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)
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logger.error(
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"Error processing command stop_loss_percent for user %s: %s",
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callback_query.from_user.id,
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e,
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)
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@router_risk_management.message(RiskManagementState.stop_loss_percent_state)
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async def set_stop_loss_percent(message: Message, state: FSMContext) -> None:
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"""
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Handles user input for setting the stop loss percentage.
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Updates FSM context with the selected percentage and persists the choice in database.
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Sends an acknowledgement to user and clears FSM state afterward.
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Args:
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message (Message): Incoming message from user containing the stop loss percentage.
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state (FSMContext): Finite State Machine context for the current user session.
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Logs:
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Success or error messages with user identification.
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"""
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try:
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try:
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data = await state.get_data()
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if "prompt_message_id" in data:
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prompt_message_id = data["prompt_message_id"]
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await message.bot.delete_message(
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chat_id=message.chat.id, message_id=prompt_message_id
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)
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await message.delete()
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except Exception as e:
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if "message to delete not found" in str(e).lower():
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pass # Ignore this error
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else:
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raise e
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stop_loss_percent_value = message.text
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if not is_int(stop_loss_percent_value):
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await message.answer(
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text="Ошибка: введите валидное число.",
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reply_markup=kbi.back_to_risk_management,
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)
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logger.debug(
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"User %s input invalid (not an valid number): %s",
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message.from_user.id,
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stop_loss_percent_value,
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)
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return
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if int(stop_loss_percent_value) < 1 or int(stop_loss_percent_value) > 100:
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await message.answer(
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text="Ошибка: введите число от 1 до 100.",
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reply_markup=kbi.back_to_risk_management,
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)
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logger.debug(
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"User %s input invalid (not an valid number): %s",
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message.from_user.id,
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stop_loss_percent_value,
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)
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return
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req = await rq.set_stop_loss_percent(
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tg_id=message.from_user.id, stop_loss_percent=int(stop_loss_percent_value)
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)
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if req:
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await message.answer(
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text=f"Процент изменения цены для фиксации убытка "
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f"установлен на {stop_loss_percent_value}%.",
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reply_markup=kbi.back_to_risk_management,
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)
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else:
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await message.answer(
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text="Произошла ошибка при установке процента изменения цены для фиксации убытка. "
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"Пожалуйста, попробуйте позже.",
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reply_markup=kbi.back_to_risk_management,
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)
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await state.clear()
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except Exception as e:
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await message.answer(
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text="Произошла ошибка при установке процента изменения цены для фиксации убытка. "
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"Пожалуйста, попробуйте позже.",
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reply_markup=kbi.back_to_risk_management,
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)
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logger.error(
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"Error processing command stop_loss_percent for user %s: %s",
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message.from_user.id,
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e,
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)
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@router_risk_management.callback_query(F.data == "max_risk_percent")
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async def max_risk_percent(callback_query: CallbackQuery, state: FSMContext) -> None:
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"""
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Handles the 'max_risk_percent' callback query.
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Clears the current FSM state, edits the message text to display the maximum risk percentage options,
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and shows an inline keyboard for selection.
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Args:
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callback_query (CallbackQuery): Incoming callback query from Telegram inline keyboard.
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state (FSMContext): Finite State Machine context for the current user session.
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Logs:
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Success or error messages with user identification.
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"""
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try:
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await state.clear()
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await state.set_state(RiskManagementState.max_risk_percent_state)
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msg = await callback_query.message.edit_text(
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text="Введите максимальный процент риска: ",
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reply_markup=kbi.back_to_risk_management,
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)
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await state.update_data(prompt_message_id=msg.message_id)
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logger.debug(
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"Command max_risk_percent processed successfully for user: %s",
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callback_query.from_user.id,
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)
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except Exception as e:
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await callback_query.answer(
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text="Произошла ошибка. Пожалуйста, попробуйте позже."
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)
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logger.error(
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"Error processing command max_risk_percent for user %s: %s",
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callback_query.from_user.id,
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e,
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)
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@router_risk_management.message(RiskManagementState.max_risk_percent_state)
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async def set_max_risk_percent(message: Message, state: FSMContext) -> None:
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"""
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Handles user input for setting the maximum risk percentage.
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Updates FSM context with the selected percentage and persists the choice in database.
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Sends an acknowledgement to user and clears FSM state afterward.
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Args:
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message (Message): Incoming message from user containing the maximum risk percentage.
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state (FSMContext): Finite State Machine context for the current user session.
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Logs:
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Success or error messages with user identification.
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"""
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try:
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try:
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data = await state.get_data()
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if "prompt_message_id" in data:
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prompt_message_id = data["prompt_message_id"]
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await message.bot.delete_message(
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chat_id=message.chat.id, message_id=prompt_message_id
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)
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await message.delete()
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except Exception as e:
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if "message to delete not found" in str(e).lower():
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pass # Ignore this error
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else:
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raise e
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max_risk_percent_value = message.text
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if not is_int(max_risk_percent_value):
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await message.answer(
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text="Ошибка: введите валидное число.",
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reply_markup=kbi.back_to_risk_management,
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)
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logger.debug(
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"User %s input invalid (not an valid number): %s",
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message.from_user.id,
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max_risk_percent_value,
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)
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return
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if int(max_risk_percent_value) < 1 or int(max_risk_percent_value) > 100:
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await message.answer(
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text="Ошибка: введите число от 1 до 100.",
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reply_markup=kbi.back_to_risk_management,
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)
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logger.debug(
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"User %s input invalid (not an valid number): %s",
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message.from_user.id,
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max_risk_percent_value,
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)
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return
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req = await rq.set_max_risk_percent(
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tg_id=message.from_user.id, max_risk_percent=int(max_risk_percent_value)
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)
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if req:
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await message.answer(
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text=f"Максимальный процент риска установлен на {max_risk_percent_value}%.",
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reply_markup=kbi.back_to_risk_management,
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)
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else:
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await message.answer(
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text="Произошла ошибка при установке максимального процента риска. "
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"Пожалуйста, попробуйте позже.",
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reply_markup=kbi.back_to_risk_management,
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)
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await state.clear()
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except Exception as e:
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await message.answer(
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text="Произошла ошибка при установке максимального процента риска. "
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"Пожалуйста, попробуйте позже.",
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reply_markup=kbi.back_to_risk_management,
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)
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logger.error(
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"Error processing command max_risk_percent for user %s: %s",
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message.from_user.id,
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e,
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)
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@router_risk_management.callback_query(F.data == "commission_fee")
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async def commission_fee(callback_query: CallbackQuery, state: FSMContext) -> None:
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"""
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Handles the 'commission_fee' callback query.
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Clears the current FSM state, edits the message text to display the commission fee options,
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and shows an inline keyboard for selection.
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Args:
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callback_query (CallbackQuery): Incoming callback query from Telegram inline keyboard.
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state (FSMContext): Finite State Machine context for the current user session.
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Logs:
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Success or error messages with user identification.
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"""
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try:
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await state.clear()
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await state.set_state(RiskManagementState.commission_fee_state)
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msg = await callback_query.message.edit_text(
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text="Учитывать комиссию биржи для расчета прибыли?: ",
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reply_markup=kbi.commission_fee,
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)
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await state.update_data(prompt_message_id=msg.message_id)
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logger.debug(
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"Command commission_fee processed successfully for user: %s",
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callback_query.from_user.id,
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)
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except Exception as e:
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await callback_query.answer(
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text="Произошла ошибка. Пожалуйста, попробуйте позже."
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)
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logger.error(
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"Error processing command commission_fee for user %s: %s",
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callback_query.from_user.id,
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e,
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)
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@router_risk_management.callback_query(
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lambda c: c.data in ["Yes_commission_fee", "No_commission_fee"]
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)
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async def set_commission_fee(callback_query: CallbackQuery, state: FSMContext) -> None:
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"""
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Handles user input for setting the commission fee.
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Updates FSM context with the selected option and persists the choice in database.
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Sends an acknowledgement to user and clears FSM state afterward.
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Args:
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callback_query (CallbackQuery): Incoming callback query from Telegram inline keyboard.
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state (FSMContext): Finite State Machine context for the current user session.
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Logs:
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Success or error messages with user identification.
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"""
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try:
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req = await rq.set_commission_fee(
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tg_id=callback_query.from_user.id, commission_fee=callback_query.data
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)
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if not req:
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await callback_query.answer(
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text="Произошла ошибка при установке комиссии биржи. Пожалуйста, попробуйте позже."
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)
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return
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if callback_query.data == "Yes_commission_fee":
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await callback_query.answer(text="Комиссия биржи учитывается.")
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else:
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await callback_query.answer(text="Комиссия биржи не учитывается.")
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except Exception as e:
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logger.error(
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"Error processing command commission_fee for user %s: %s",
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callback_query.from_user.id,
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e,
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)
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finally:
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await state.clear()
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