- remove direct pipeline dependency from ChatManager and TelegramApp - introduce PipelineInputs for better configuration management
253 lines
11 KiB
Python
253 lines
11 KiB
Python
import io
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import os
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import json
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import httpx
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import logging
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import warnings
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from enum import Enum
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from markdown_pdf import MarkdownPdf, Section
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from telegram import CallbackQuery, InlineKeyboardButton, InlineKeyboardMarkup, Message, Update, User
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from telegram.constants import ChatAction
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from telegram.ext import Application, CallbackQueryHandler, CommandHandler, ContextTypes, ConversationHandler, MessageHandler, filters
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from app.agents.pipeline import Pipeline, PipelineInputs
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# per per_message di ConversationHandler che rompe sempre qualunque input tu metta
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warnings.filterwarnings("ignore")
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logging = logging.getLogger("telegram")
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# Lo stato cambia in base al valore di ritorno delle funzioni async
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# END state è già definito in telegram.ext.ConversationHandler
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# Un semplice schema delle interazioni:
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# /start
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# ║
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# V
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# ╔══ CONFIGS <═════╗
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# ║ ║ ╚══> SELECT_CONFIG
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# ║ V
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# ║ start_team (polling for updates)
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# ║ ║
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# ║ V
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# ╚═══> END
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CONFIGS, SELECT_CONFIG = range(2)
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# Usato per separare la query arrivata da Telegram
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QUERY_SEP = "|==|"
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class ConfigsChat(Enum):
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MODEL_TEAM = "Team Model"
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MODEL_OUTPUT = "Output Model"
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STRATEGY = "Strategy"
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class TelegramApp:
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def __init__(self):
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token = os.getenv("TELEGRAM_BOT_TOKEN")
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assert token, "TELEGRAM_BOT_TOKEN environment variable not set"
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self.user_requests: dict[User, PipelineInputs] = {}
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self.token = token
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self.create_bot()
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def add_miniapp_url(self, url: str) -> None:
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try:
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endpoint = f"https://api.telegram.org/bot{self.token}/setChatMenuButton"
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payload = {"menu_button": json.dumps({
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"type": "web_app",
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"text": "MiniApp",
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"web_app": { "url": url }
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})}
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httpx.post(endpoint, data=payload)
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except httpx.HTTPError as e:
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logging.warning(f"Failed to update mini app URL: {e}")
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def create_bot(self) -> None:
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"""
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Initialize the Telegram bot and set up the conversation handler.
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"""
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app = Application.builder().token(self.token).build()
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app.add_error_handler(self.__error_handler)
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app.add_handler(ConversationHandler(
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per_message=False, # capire a cosa serve perchè da un warning quando parte il server
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entry_points=[CommandHandler('start', self.__start)],
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states={
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CONFIGS: [
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CallbackQueryHandler(self.__model_team, pattern=ConfigsChat.MODEL_TEAM.name),
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CallbackQueryHandler(self.__model_output, pattern=ConfigsChat.MODEL_OUTPUT.name),
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CallbackQueryHandler(self.__strategy, pattern=ConfigsChat.STRATEGY.name),
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CallbackQueryHandler(self.__cancel, pattern='^cancel$'),
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MessageHandler(filters.TEXT, self.__start_team) # Any text message
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],
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SELECT_CONFIG: [
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CallbackQueryHandler(self.__select_config, pattern=f"^__select_config{QUERY_SEP}.*$"),
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]
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},
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fallbacks=[CommandHandler('start', self.__start)],
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))
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self.app = app
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def run(self) -> None:
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self.app.run_polling()
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########################################
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# Funzioni di utilità
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########################################
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async def start_message(self, user: User, query: CallbackQuery | Message) -> None:
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confs = self.user_requests.setdefault(user, PipelineInputs())
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str_model_team = f"{ConfigsChat.MODEL_TEAM.value}: {confs.team_model.label}"
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str_model_output = f"{ConfigsChat.MODEL_OUTPUT.value}: {confs.team_leader_model.label}"
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str_strategy = f"{ConfigsChat.STRATEGY.value}: {confs.strategy.label}"
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msg, keyboard = (
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"Please choose an option or write your query",
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InlineKeyboardMarkup([
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[InlineKeyboardButton(str_model_team, callback_data=ConfigsChat.MODEL_TEAM.name)],
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[InlineKeyboardButton(str_model_output, callback_data=ConfigsChat.MODEL_OUTPUT.name)],
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[InlineKeyboardButton(str_strategy, callback_data=ConfigsChat.STRATEGY.name)],
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[InlineKeyboardButton("Cancel", callback_data='cancel')]
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])
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)
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if isinstance(query, CallbackQuery):
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await query.edit_message_text(msg, reply_markup=keyboard, parse_mode='MarkdownV2')
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else:
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await query.reply_text(msg, reply_markup=keyboard, parse_mode='MarkdownV2')
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async def handle_callbackquery(self, update: Update) -> tuple[CallbackQuery, User]:
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assert update.callback_query and update.callback_query.from_user, "Update callback_query or user is None"
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query = update.callback_query
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await query.answer() # Acknowledge the callback query
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return query, query.from_user
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async def handle_message(self, update: Update) -> tuple[Message, User]:
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assert update.message and update.message.from_user, "Update message or user is None"
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return update.message, update.message.from_user
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def build_callback_data(self, callback: str, config: ConfigsChat, labels: list[str]) -> list[tuple[str, str]]:
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return [(label, QUERY_SEP.join((callback, config.value, str(i)))) for i, label in enumerate(labels)]
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async def __error_handler(self, update: object, context: ContextTypes.DEFAULT_TYPE) -> None:
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try:
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logging.error(f"Unhandled exception in Telegram handler: {context.error}")
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# Try to notify the user in chat if possible
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if isinstance(update, Update) and update.effective_chat:
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chat_id = update.effective_chat.id
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msg = "An error occurred while processing your request."
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await context.bot.send_message(chat_id=chat_id, text=msg)
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except Exception:
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# Ensure we never raise from the error handler itself
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logging.exception("Exception in the error handler")
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#########################################
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# Funzioni async per i comandi e messaggi
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#########################################
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async def __start(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> int:
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message, user = await self.handle_message(update)
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logging.info(f"@{user.username} started the conversation.")
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await self.start_message(user, message)
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return CONFIGS
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async def __model_team(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> int:
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return await self._model_select(update, ConfigsChat.MODEL_TEAM)
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async def __model_output(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> int:
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return await self._model_select(update, ConfigsChat.MODEL_OUTPUT)
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async def _model_select(self, update: Update, state: ConfigsChat, msg: str | None = None) -> int:
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query, user = await self.handle_callbackquery(update)
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req = self.user_requests[user]
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models = self.build_callback_data("__select_config", state, req.list_models_names())
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inline_btns = [[InlineKeyboardButton(name, callback_data=callback_data)] for name, callback_data in models]
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await query.edit_message_text(msg or state.value, reply_markup=InlineKeyboardMarkup(inline_btns))
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return SELECT_CONFIG
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async def __strategy(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> int:
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query, user = await self.handle_callbackquery(update)
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req = self.user_requests[user]
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strategies = self.build_callback_data("__select_config", ConfigsChat.STRATEGY, req.list_strategies_names())
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inline_btns = [[InlineKeyboardButton(name, callback_data=callback_data)] for name, callback_data in strategies]
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await query.edit_message_text("Select a strategy", reply_markup=InlineKeyboardMarkup(inline_btns))
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return SELECT_CONFIG
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async def __select_config(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> int:
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query, user = await self.handle_callbackquery(update)
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logging.debug(f"@{user.username} --> {query.data}")
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req = self.user_requests[user]
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_, state, index = str(query.data).split(QUERY_SEP)
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if state == str(ConfigsChat.MODEL_TEAM):
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req.choose_team(int(index))
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if state == str(ConfigsChat.MODEL_OUTPUT):
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req.choose_team_leader(int(index))
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if state == str(ConfigsChat.STRATEGY):
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req.choose_strategy(int(index))
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await self.start_message(user, query)
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return CONFIGS
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async def __start_team(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> int:
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message, user = await self.handle_message(update)
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confs = self.user_requests[user]
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confs.user_query = message.text or ""
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logging.info(f"@{user.username} started the team with [{confs.team_model.label}, {confs.team_leader_model.label}, {confs.strategy.label}]")
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await self.__run_team(update, confs)
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logging.info(f"@{user.username} team finished.")
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return ConversationHandler.END
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async def __cancel(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> int:
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query, user = await self.handle_callbackquery(update)
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logging.info(f"@{user.username} canceled the conversation.")
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if user in self.user_requests:
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del self.user_requests[user]
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await query.edit_message_text("Conversation canceled. Use /start to begin again.")
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return ConversationHandler.END
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async def __run_team(self, update: Update, inputs: PipelineInputs) -> None:
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if not update.message: return
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bot = update.get_bot()
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msg_id = update.message.message_id - 1
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chat_id = update.message.chat_id
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configs_str = [
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'Running with configurations: ',
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f'Team: {inputs.team_model.label}',
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f'Output: {inputs.team_leader_model.label}',
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f'Strategy: {inputs.strategy.label}',
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f'Query: "{inputs.user_query}"'
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]
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full_message = f"""```\n{'\n'.join(configs_str)}\n```\n\n"""
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first_message = full_message + "Generating report, please wait"
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msg = await bot.edit_message_text(chat_id=chat_id, message_id=msg_id, text=first_message, parse_mode='MarkdownV2')
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if isinstance(msg, bool): return
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# Remove user query and bot message
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await bot.delete_message(chat_id=chat_id, message_id=update.message.id)
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# TODO migliorare messaggi di attesa
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await bot.send_chat_action(chat_id=chat_id, action=ChatAction.TYPING)
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pipeline = Pipeline(inputs)
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report_content = await pipeline.interact_async()
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await msg.delete()
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# attach report file to the message
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pdf = MarkdownPdf(toc_level=2, optimize=True)
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pdf.add_section(Section(report_content, toc=False))
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# TODO vedere se ha senso dare il pdf o solo il messaggio
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document = io.BytesIO()
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pdf.save_bytes(document)
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document.seek(0)
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await bot.send_document(chat_id=chat_id, document=document, filename="report.pdf", parse_mode='MarkdownV2', caption=full_message)
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