Aggiunto il supporto per la gestione del bot Telegram e aggiornata la configurazione del pipeline

src/app/utils/__init__.py

@@ -1,5 +1,6 @@
 from app.utils.market_aggregation import aggregate_history_prices, aggregate_product_info
 from app.utils.wrapper_handler import WrapperHandler
 from app.utils.chat_manager import ChatManager
+from app.utils.telegram_app import BotFunctions
 
-__all__ = ["aggregate_history_prices", "aggregate_product_info", "WrapperHandler", "ChatManager"]
+__all__ = ["aggregate_history_prices", "aggregate_product_info", "WrapperHandler", "ChatManager", "BotFunctions"]

src/app/utils/telegram_app.py

@@ -1,4 +1,6 @@
 import os
+import json
+import httpx
 from enum import Enum
 from typing import Any
 from agno.utils.log import log_info  # type: ignore
@@ -6,6 +8,7 @@ from telegram import CallbackQuery, InlineKeyboardButton, InlineKeyboardMarkup,
 from telegram.constants import ChatAction
 from telegram.ext import Application, CallbackQueryHandler, CommandHandler, ContextTypes, ConversationHandler, ExtBot, JobQueue, MessageHandler, filters
 from app.agents import AppModels, PredictorStyle
+from app.agents.pipeline import Pipeline
 
 # Lo stato cambia in base al valore di ritorno delle funzioni async
 # END state è già definito in telegram.ext.ConversationHandler
@@ -29,9 +32,9 @@ class ConfigsChat(Enum):
 
 class ConfigsRun:
     def __init__(self):
-        self.model_team = BotFunctions.app_models[0]
-        self.model_output = BotFunctions.app_models[0]
-        self.strategy = PredictorStyle.CONSERVATIVE
+        self.model_team = BotFunctions.pipeline.available_models[0]
+        self.model_output = BotFunctions.pipeline.available_models[0]
+        self.strategy = BotFunctions.pipeline.all_styles[0]
         self.user_query = ""
 
 
@@ -39,13 +42,12 @@ class ConfigsRun:
 class BotFunctions:
 
     # In theory this is already thread-safe if run with CPython
-    users_req: dict[User, ConfigsRun] = {}
-    app_models: list[AppModels] = AppModels.availables()
-    strategies: list[PredictorStyle] = list(PredictorStyle)
+    users_req: dict[User, ConfigsRun]
+    pipeline: Pipeline
 
     # che incubo di typing
     @staticmethod
-    def create_bot() -> Application[ExtBot[None], ContextTypes.DEFAULT_TYPE, dict[str, Any], dict[str, Any], dict[str, Any], JobQueue[ContextTypes.DEFAULT_TYPE]]:
+    def create_bot(pipeline: Pipeline, miniapp_url: str | None = None) -> Application[ExtBot[None], ContextTypes.DEFAULT_TYPE, dict[str, Any], dict[str, Any], dict[str, Any], JobQueue[ContextTypes.DEFAULT_TYPE]]:
         """
         Create a Telegram bot application instance.
         Assumes the TELEGRAM_BOT_TOKEN environment variable is set.
@@ -54,10 +56,13 @@ class BotFunctions:
         Raises:
             AssertionError: If the TELEGRAM_BOT_TOKEN environment variable is not set.
         """
+        BotFunctions.users_req = {}
+        BotFunctions.pipeline = pipeline
 
         token = os.getenv("TELEGRAM_BOT_TOKEN", '')
         assert token, "TELEGRAM_BOT_TOKEN environment variable not set"
 
+        if miniapp_url: BotFunctions.update_miniapp_url(miniapp_url, token)
         app = Application.builder().token(token).build()
 
         conv_handler = ConversationHandler(
@@ -113,7 +118,7 @@ class BotFunctions:
     async def handle_configs(update: Update, state: ConfigsChat, msg: str | None = None) -> int:
         query, _ = await BotFunctions.handle_callbackquery(update)
 
-        models = [(m.name, f"__select_config:{state}:{m.name}") for m in BotFunctions.app_models]
+        models = [(m.name, f"__select_config:{state}:{m.name}") for m in BotFunctions.pipeline.available_models]
         inline_btns = [[InlineKeyboardButton(name, callback_data=callback_data)] for name, callback_data in models]
 
         await query.edit_message_text(msg or state.value, reply_markup=InlineKeyboardMarkup(inline_btns))
@@ -131,6 +136,20 @@ class BotFunctions:
         assert update.message and update.message.from_user, "Update message or user is None"
         return update.message, update.message.from_user
 
+    @staticmethod
+    def update_miniapp_url(url: str, token: str) -> None:
+        try:
+            endpoint = f"https://api.telegram.org/bot{token}/setChatMenuButton"
+            payload = {"menu_button": json.dumps({
+                "type": "web_app",
+                "text": "Apri Mini App", # Il testo che appare sul pulsante
+                "web_app": {
+                    "url": url
+                }
+            })}
+            httpx.post(endpoint, data=payload)
+        except httpx.HTTPError as e:
+            log_info(f"Failed to update mini app URL: {e}")
 
     #########################################
     # Funzioni async per i comandi e messaggi
@@ -154,7 +173,7 @@ class BotFunctions:
     async def __strategy(update: Update, context: ContextTypes.DEFAULT_TYPE) -> int:
         query, _ = await BotFunctions.handle_callbackquery(update)
 
-        strategies = [(s.name, f"__select_config:{ConfigsChat.STRATEGY}:{s.name}") for s in BotFunctions.strategies]
+        strategies = [(s.name, f"__select_config:{ConfigsChat.STRATEGY}:{s.name}") for s in BotFunctions.pipeline.all_styles]
         inline_btns = [[InlineKeyboardButton(name, callback_data=callback_data)] for name, callback_data in strategies]
 
         await query.edit_message_text("Select a strategy", reply_markup=InlineKeyboardMarkup(inline_btns))
@@ -238,13 +257,3 @@ class BotFunctions:
         document = io.BytesIO(report_content.encode('utf-8'))
         await bot.send_document(chat_id=chat_id, document=document, filename="report.md", parse_mode='MarkdownV2', caption=full_message)
 
-
-
-
-
-if __name__ == "__main__":
-    from dotenv import load_dotenv
-    load_dotenv()
-    bot_app = BotFunctions.create_bot()
-    bot_app.run_polling()
-