Backup automatico script del 2026-01-11 07:00

services/telegram-bot/bot.py

@@ -3,7 +3,10 @@ import subprocess
 import os
 import datetime
 import requests
+import shlex
+import json
 from functools import wraps
+from typing import Optional
 from zoneinfo import ZoneInfo
 from telegram import InlineKeyboardButton, InlineKeyboardMarkup, Update
 from telegram.ext import (
@@ -15,13 +18,10 @@ from telegram.ext import (
 )
 
 # =============================================================================
-#  LOOGLE BOT V9.0 (ULTIMATE + CAMERAS + MODULAR)
-#  - Dashboard Sistema (SSH/WOL/Monitor)
-#  - Meteo Smart (Meteo.py / Previsione7.py)
-#  - CCTV Hub (Cam.py + FFMPEG)
+#  LOOGLE BOT V8.1 (MODULARE + ON-DEMAND METEO)
 # =============================================================================
 
-# --- CONFIGURAZIONE AMBIENTE ---
+# --- CONFIGURAZIONE ---
 BOT_TOKEN = os.environ.get('BOT_TOKEN')
 allowed_users_raw = os.environ.get('ALLOWED_USER_ID', '')
 ALLOWED_IDS = [int(x.strip()) for x in allowed_users_raw.split(',') if x.strip().isdigit()]
@@ -32,20 +32,25 @@ MASTER_IP = "192.168.128.80"
 TZ = "Europe/Rome"
 TZINFO = ZoneInfo(TZ)
 
-# --- GESTIONE PERCORSI DINAMICA (DOCKER FRIENDLY) ---
+# PERCORSI SCRIPT
 SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__))
-METEO_SCRIPT = os.path.join(SCRIPT_DIR, "meteo.py")
+METEO_SCRIPT = os.path.join(SCRIPT_DIR, "meteo.py")      # SCRIPT METEO SEPARATO
 METEO7_SCRIPT = os.path.join(SCRIPT_DIR, "previsione7.py")
-CAM_SCRIPT = os.path.join(SCRIPT_DIR, "cam.py")
+SEVERE_SCRIPT = os.path.join(SCRIPT_DIR, "severe_weather.py")
+ICE_CHECK_SCRIPT = os.path.join(SCRIPT_DIR, "check_ghiaccio.py")
+IRRIGATION_SCRIPT = os.path.join(SCRIPT_DIR, "smart_irrigation_advisor.py")
+SNOW_RADAR_SCRIPT = os.path.join(SCRIPT_DIR, "snow_radar.py")
 
-# --- LISTE DISPOSITIVI ---
+# FILE STATO VIAGGI
+VIAGGI_STATE_FILE = os.path.join(SCRIPT_DIR, "viaggi_attivi.json")
+
+# --- LISTE DISPOSITIVI (CORE/INFRA) ---
 CORE_DEVICES = [
     {"name": "🍓 Pi-1 (Master)", "ip": MASTER_IP, "type": "pi", "user": SSH_USER},
     {"name": "🍓 Pi-2 (Backup)", "ip": "127.0.0.1", "type": "local", "user": ""},
     {"name": "🗄️ NAS 920+", "ip": "192.168.128.100", "type": "nas", "user": NAS_USER},
     {"name": "🗄️ NAS 214", "ip": "192.168.128.90", "type": "nas", "user": NAS_USER}
 ]
-
 INFRA_DEVICES = [
     {"name": "📡 Router", "ip": "192.168.128.1"},
     {"name": "📶 WiFi Sala", "ip": "192.168.128.101"},
@@ -58,19 +63,14 @@ INFRA_DEVICES = [
     {"name": "🔌 Sw Tav", "ip": "192.168.128.108"}
 ]
 
-# Configurazione Logging
 logging.basicConfig(format="%(asctime)s - %(levelname)s - %(message)s", level=logging.INFO)
 logger = logging.getLogger(__name__)
 
-# =============================================================================
-#  SEZIONE 1: FUNZIONI UTILI E HELPER
-# =============================================================================
-
+# --- FUNZIONI SISTEMA (SSH/PING) ---
 def run_cmd(command, ip=None, user=None):
-    """Esegue comandi shell locali o via SSH"""
     try:
         if ip == "127.0.0.1" or ip is None:
-            return subprocess.check_output(command, shell=True, stderr=subprocess.STDOUT, timeout=8).decode('utf-8').strip()
+            return subprocess.check_output(command, shell=True, stderr=subprocess.STDOUT, timeout=5).decode('utf-8').strip()
         else:
             safe_cmd = command.replace("'", "'\\''")
             full_cmd = f"ssh -o LogLevel=ERROR -o BatchMode=yes -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null -o ConnectTimeout=3 {user}@{ip} '{safe_cmd}'"
@@ -84,13 +84,11 @@ def get_ping_icon(ip):
     except Exception: return "🔴"
 
 def get_device_stats(device):
-    ip, user, dtype = device['ip'], device['user'], device['type']
+    ip, user, dtype = device['ip'], device['type'], device['user']
     uptime_raw = run_cmd("uptime -p 2>/dev/null || uptime", ip, user)
     if not uptime_raw or "Err" in uptime_raw: return "🔴 **OFFLINE**"
-    
     uptime = uptime_raw.replace("up ", "").split(", load")[0].split(",  ")[0]
     temp = "N/A"
-    
     if dtype in ["pi", "local"]:
         t = run_cmd("cat /sys/class/thermal/thermal_zone0/temp", ip, user)
         if t.isdigit(): temp = f"{int(t)/1000:.1f}°C"
@@ -98,7 +96,6 @@ def get_device_stats(device):
         t = run_cmd("cat /sys/class/hwmon/hwmon0/temp1_input 2>/dev/null || cat /sys/class/thermal/thermal_zone0/temp", ip, user)
         if t.isdigit(): 
             v = int(t); temp = f"{v/1000:.1f}°C" if v > 1000 else f"{v}°C"
-
     if dtype == "nas": ram_cmd = "free | grep Mem | awk '{printf \"%.0f%%\", $3*100/$2}'"
     else: ram_cmd = "free -m | awk 'NR==2{if ($2>0) printf \"%.0f%%\", $3*100/$2; else print \"0%\"}'"
     disk_path = "/" if dtype != "nas" else "/volume1"
@@ -111,27 +108,124 @@ def read_log_file(filepath, lines=15):
     except Exception as e: return f"Errore: {str(e)}"
 
 def run_speedtest():
-    try: return subprocess.check_output("speedtest-cli --simple", shell=True, timeout=60).decode('utf-8')
+    try: return subprocess.check_output("speedtest-cli --simple", shell=True, timeout=50).decode('utf-8')
     except: return "Errore Speedtest"
 
-def call_script_text(script_path, args_list):
-    """Wrapper per lanciare script che restituiscono testo (Meteo)"""
+# --- GESTIONE VIAGGI ATTIVI ---
+def load_viaggi_state() -> dict:
+    """Carica lo stato dei viaggi attivi da file JSON"""
+    if os.path.exists(VIAGGI_STATE_FILE):
+        try:
+            with open(VIAGGI_STATE_FILE, "r", encoding="utf-8") as f:
+                return json.load(f) or {}
+        except Exception as e:
+            logger.error(f"Errore lettura viaggi state: {e}")
+            return {}
+    return {}
+
+def save_viaggi_state(state: dict) -> None:
+    """Salva lo stato dei viaggi attivi su file JSON"""
     try:
-        cmd = ["python3", script_path] + args_list
+        with open(VIAGGI_STATE_FILE, "w", encoding="utf-8") as f:
+            json.dump(state, f, ensure_ascii=False, indent=2)
+    except Exception as e:
+        logger.error(f"Errore scrittura viaggi state: {e}")
+
+def get_timezone_from_coords(lat: float, lon: float) -> str:
+    """Ottiene la timezone da coordinate usando timezonefinder o fallback"""
+    try:
+        from timezonefinder import TimezoneFinder
+        tf = TimezoneFinder()
+        tz = tf.timezone_at(lng=lon, lat=lat)
+        if tz:
+            return tz
+    except ImportError:
+        logger.warning("timezonefinder non installato, uso fallback")
+    except Exception as e:
+        logger.warning(f"Errore timezonefinder: {e}")
+    
+    # Fallback: stima timezone da longitudine (approssimativo)
+    # Ogni 15 gradi = 1 ora di differenza da UTC
+    offset_hours = int(lon / 15)
+    # Mappatura approssimativa a timezone IANA
+    if -10 <= offset_hours <= 2:  # Europa
+        return "Europe/Rome"
+    elif 3 <= offset_hours <= 5:  # Medio Oriente
+        return "Asia/Dubai"
+    elif 6 <= offset_hours <= 8:  # Asia centrale
+        return "Asia/Kolkata"
+    elif 9 <= offset_hours <= 11:  # Asia orientale
+        return "Asia/Tokyo"
+    elif -5 <= offset_hours <= -3:  # Americhe orientali
+        return "America/New_York"
+    elif -8 <= offset_hours <= -6:  # Americhe occidentali
+        return "America/Los_Angeles"
+    else:
+        return "UTC"
+
+def add_viaggio(chat_id: str, location: str, lat: float, lon: float, name: str, timezone: Optional[str] = None) -> None:
+    """Aggiunge o aggiorna un viaggio attivo per un chat_id (sovrascrive se esiste)"""
+    if timezone is None:
+        timezone = get_timezone_from_coords(lat, lon)
+    
+    state = load_viaggi_state()
+    state[chat_id] = {
+        "location": location,
+        "lat": lat,
+        "lon": lon,
+        "name": name,
+        "timezone": timezone,
+        "activated": datetime.datetime.now().isoformat()
+    }
+    save_viaggi_state(state)
+
+def remove_viaggio(chat_id: str) -> bool:
+    """Rimuove un viaggio attivo per un chat_id. Ritorna True se rimosso, False se non esisteva"""
+    state = load_viaggi_state()
+    if chat_id in state:
+        del state[chat_id]
+        save_viaggi_state(state)
+        return True
+    return False
+
+def get_viaggio(chat_id: str) -> dict:
+    """Ottiene il viaggio attivo per un chat_id, o None se non esiste"""
+    state = load_viaggi_state()
+    return state.get(chat_id)
+
+# --- HELPER PER LANCIARE SCRIPT ESTERNI ---
+def call_meteo_script(args_list):
+    """Lancia meteo.py e cattura l'output testuale"""
+    try:
+        # Esegui: python3 meteo.py --arg1 val1 ...
+        cmd = ["python3", METEO_SCRIPT] + args_list
         result = subprocess.run(cmd, capture_output=True, text=True, timeout=30)
-        return result.stdout.strip() if result.returncode == 0 else f"⚠️ Errore Script:\n{result.stderr}"
-    except Exception as e: return f"❌ Errore esecuzione: {e}"
+        return result.stdout if result.returncode == 0 else f"Errore Script: {result.stderr}"
+    except Exception as e:
+        return f"Errore esecuzione script: {e}"
 
-# =============================================================================
-#  SEZIONE 2: GESTORI COMANDI (HANDLERS)
-# =============================================================================
+def call_meteo7_script(args_list):
+    """Lancia previsione7.py e cattura l'output testuale"""
+    try:
+        # Esegui: python3 previsione7.py arg1 arg2 ...
+        cmd = ["python3", METEO7_SCRIPT] + args_list
+        result = subprocess.run(cmd, capture_output=True, text=True, timeout=60)
+        # previsione7.py invia direttamente a Telegram, quindi l'output potrebbe essere vuoto
+        # Ritorniamo un messaggio di conferma se lo script è eseguito correttamente
+        if result.returncode == 0:
+            return "✅ Report previsione 7 giorni generato e inviato"
+        else:
+            return f"⚠️ Errore Script: {result.stderr[:500]}"
+    except Exception as e:
+        return f"⚠️ Errore esecuzione script: {e}"
 
-# Decoratore Sicurezza
+# --- HANDLERS BOT ---
 def restricted(func):
     @wraps(func)
     async def wrapped(update: Update, context: ContextTypes.DEFAULT_TYPE, *args, **kwargs):
         user_id = update.effective_user.id
-        if user_id not in ALLOWED_IDS: return
+        if user_id not in ALLOWED_IDS:
+            return
         return await func(update, context, *args, **kwargs)
     return wrapped
 
@@ -140,161 +234,522 @@ async def start(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
     keyboard = [
         [InlineKeyboardButton("🖥️ Core Server", callback_data="menu_core"), InlineKeyboardButton("🔍 Scan LAN", callback_data="menu_lan")],
         [InlineKeyboardButton("🛡️ Pi-hole", callback_data="menu_pihole"), InlineKeyboardButton("🌐 Rete", callback_data="menu_net")],
-        [InlineKeyboardButton("🌤️ Meteo Casa", callback_data="req_meteo_home"), InlineKeyboardButton("📹 Camere", callback_data="menu_cams")],
-        [InlineKeyboardButton("📜 Logs", callback_data="menu_logs")]
+        [InlineKeyboardButton("🌤️ Meteo Casa", callback_data="req_meteo_home"), InlineKeyboardButton("📜 Logs", callback_data="menu_logs")]
     ]
-    text = "🎛 **Loogle Control Center v9.0**\n\n🔹 `/meteo <città>`\n🔹 `/meteo7 <città>` (7 Giorni)\n🔹 `/cam <nome>` (Snapshot)"
-    
+    text = "🎛 **Loogle Control Center v8.1**\nComandi disponibili:\n🔹 `/meteo <città>`\n🔹 `/meteo7 <città>` (Previsione 7gg)\n🔹 Pulsanti sotto"
     if update.message: await update.message.reply_text(text, reply_markup=InlineKeyboardMarkup(keyboard), parse_mode="Markdown")
     else: await update.callback_query.edit_message_text(text, reply_markup=InlineKeyboardMarkup(keyboard), parse_mode="Markdown")
 
 @restricted
 async def meteo_command(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
-    query = " ".join(context.args).strip()
-    if not query or query.lower() == "casa":
-        await update.message.reply_text("⏳ **Scarico Meteo Casa...**", parse_mode="Markdown")
-        report = call_script_text(METEO_SCRIPT, ["--home"])
-    else:
-        await update.message.reply_text(f"🔄 Cerco '{query}'...", parse_mode="Markdown")
-        report = call_script_text(METEO_SCRIPT, ["--query", query])
+    chat_id = str(update.effective_chat.id)
     
+    if not context.args:
+        # Se non ci sono argomenti, controlla se c'è un viaggio attivo
+        viaggio_attivo = get_viaggio(chat_id)
+        if viaggio_attivo:
+            # Invia report per Casa + località viaggio
+            await update.message.reply_text(
+                f"🔄 Generazione report meteo per Casa e {viaggio_attivo['name']}...",
+                parse_mode="Markdown"
+            )
+            
+            # Report Casa
+            report_casa = call_meteo_script(["--home"])
+            await update.message.reply_text(
+                f"🏠 **Report Meteo - Casa**\n\n{report_casa}",
+                parse_mode="Markdown"
+            )
+            
+            # Report località viaggio
+            report_viaggio = call_meteo_script([
+                "--query", viaggio_attivo["location"],
+                "--timezone", viaggio_attivo.get("timezone", "Europe/Rome")
+            ])
+            await update.message.reply_text(
+                f"✈️ **Report Meteo - {viaggio_attivo['name']}**\n\n{report_viaggio}",
+                parse_mode="Markdown"
+            )
+    else:
+            # Nessun viaggio attivo: invia report per Casa
+            await update.message.reply_text("🔄 Generazione report meteo per Casa...", parse_mode="Markdown")
+            report_casa = call_meteo_script(["--home"])
+            await update.message.reply_text(
+                f"🏠 **Report Meteo - Casa**\n\n{report_casa}",
+                parse_mode="Markdown"
+            )
+        return
+    
+    city = " ".join(context.args)
+    await update.message.reply_text(f"🔄 Cerco '{city}'...", parse_mode="Markdown")
+    
+    # LANCIAMO LO SCRIPT ESTERNO!
+    report = call_meteo_script(["--query", city])
     await update.message.reply_text(report, parse_mode="Markdown")
 
 @restricted
 async def meteo7_command(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
-    chat_id = update.effective_chat.id
-    query = "casa"
-    if context.args: query = " ".join(context.args)
+    chat_id = str(update.effective_chat.id)
+    
+    if not context.args:
+        # Se non ci sono argomenti, controlla se c'è un viaggio attivo
+        viaggio_attivo = get_viaggio(chat_id)
+        if viaggio_attivo:
+            # Invia previsione 7gg per Casa + località viaggio
+            await update.message.reply_text(
+                f"📡 Calcolo previsione 7gg per Casa e {viaggio_attivo['name']}...",
+                parse_mode="Markdown"
+            )
+            
+            # Previsione Casa
+            subprocess.Popen([
+                "python3", METEO7_SCRIPT,
+                "casa",
+                "--chat_id", chat_id
+            ])
+            
+            # Previsione località viaggio
+            subprocess.Popen([
+                "python3", METEO7_SCRIPT,
+                viaggio_attivo["location"],
+                "--chat_id", chat_id,
+                "--timezone", viaggio_attivo.get("timezone", "Europe/Rome")
+            ])
+            
+            await update.message.reply_text(
+                f"✅ Previsioni 7 giorni in arrivo per:\n"
+                f"🏠 Casa\n"
+                f"✈️ {viaggio_attivo['name']}",
+                parse_mode="Markdown"
+            )
+        else:
+            # Nessun viaggio attivo, invia solo Casa
+            await update.message.reply_text(f"📡 Calcolo previsione 7gg per Casa...", parse_mode="Markdown")
+            subprocess.Popen(["python3", METEO7_SCRIPT, "casa", "--chat_id", chat_id])
+        return
+    
+    query = " ".join(context.args)
     await update.message.reply_text(f"📡 Calcolo previsione 7gg per: {query}...", parse_mode="Markdown")
-    subprocess.Popen(["python3", METEO7_SCRIPT, query, "--chat_id", str(chat_id)])
+    # Lancia in background
+    subprocess.Popen(["python3", METEO7_SCRIPT, query, "--chat_id", chat_id])
 
 @restricted
-async def cam_command(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
-    if not context.args:
-        # Se non c'è argomento, mostra il menu camere
-        keyboard = [
-            [InlineKeyboardButton("📷 Sala", callback_data="req_cam_sala"), InlineKeyboardButton("📷 Ingresso", callback_data="req_cam_ingresso")],
-            [InlineKeyboardButton("📷 Taverna", callback_data="req_cam_taverna"), InlineKeyboardButton("📷 Retro", callback_data="req_cam_retro")],
-            [InlineKeyboardButton("📷 Matrim.", callback_data="req_cam_matrimoniale"), InlineKeyboardButton("📷 Luca", callback_data="req_cam_luca")],
-            [InlineKeyboardButton("⬅️ Indietro", callback_data="main_menu")]
-        ]
-        await update.message.reply_text("📹 **Scegli una telecamera:**", reply_markup=InlineKeyboardMarkup(keyboard), parse_mode="Markdown")
-        return
+async def snowradar_command(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
+    """Comando /snowradar: analisi neve in griglia 30km da San Marino"""
+    chat_id = str(update.effective_chat.id)
+    
+    # Costruisci comando base
+    # --debug: quando chiamato da Telegram, invia solo al chat_id richiedente
+    # --chat_id: passa il chat_id specifico per inviare il messaggio
+    cmd = ["python3", SNOW_RADAR_SCRIPT, "--debug", "--chat_id", chat_id]
+    
+    # Messaggio di avvio
+    await update.message.reply_text(
+        "❄️ **Snow Radar**\n\n"
+        "Analisi neve in corso... Il report verrà inviato a breve.",
+        parse_mode="Markdown"
+    )
+    
+    # Avvia in background
+    subprocess.Popen(cmd, cwd=SCRIPT_DIR)
 
-    cam_name = context.args[0]
-    await update.message.reply_chat_action(action="upload_photo")
+@restricted
+async def irrigazione_command(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
+    """Comando /irrigazione: consulente agronomico per gestione irrigazione"""
+    chat_id = str(update.effective_chat.id)
+    
+    # Costruisci comando base
+    # --force: quando chiamato da Telegram, sempre invia (bypassa logica auto-reporting)
+    cmd = ["python3", IRRIGATION_SCRIPT, "--telegram", "--chat_id", chat_id, "--force"]
+    
+    # Opzioni: --debug, o parametri posizionali per location
+    if context.args:
+        args_str = " ".join(context.args).lower()
+        
+        # Flag opzionali
+        if "--debug" in args_str or "debug" in args_str:
+            cmd.append("--debug")
+        
+        # Se ci sono altri argomenti non-flag, assumi siano per location
+        remaining_args = [a for a in context.args if not a.startswith("--") and a.lower() not in ["debug", "force"]]
+        if remaining_args:
+            # Prova a interpretare come location (potrebbero essere coordinate o nome)
+            location_str = " ".join(remaining_args)
+            # Se sembra essere coordinate numeriche, usa --lat e --lon
+            parts = location_str.split()
+            if len(parts) == 2:
+                try:
+                    lat = float(parts[0])
+                    lon = float(parts[1])
+                    cmd.extend(["--lat", str(lat), "--lon", str(lon)])
+                except ValueError:
+                    # Non sono numeri, probabilmente è un nome location
+                    cmd.extend(["--location", location_str])
+            else:
+                cmd.extend(["--location", location_str])
+    
+    # Messaggio di avvio
+    await update.message.reply_text(
+        "🌱 **Consulente Irrigazione**\n\n"
+        "Analisi in corso... Il report verrà inviato a breve.",
+        parse_mode="Markdown"
+    )
+    
+    # Esegui in background
+    subprocess.Popen(cmd)
+
+@restricted
+async def road_command(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
+    """Comando /road: analizza tutti i rischi meteo lungo percorso stradale"""
+    chat_id = str(update.effective_chat.id)
+    
+    if not context.args or len(context.args) < 2:
+        await update.message.reply_text(
+            "⚠️ **Uso:** `/road <località1> <località2>`\n\n"
+            "Esempio: `/road Bologna Rimini`\n"
+            "Esempio: `/road \"San Marino\" Rimini`\n"
+            "Esempio: `/road \"San Marino di Castrozza\" \"San Martino di Castrozza\"`\n"
+            "Usa virgolette per nomi con spazi multipli.\n\n"
+            "Analizza tutti i rischi meteo lungo il percorso: ghiaccio, neve, pioggia, rovesci, nebbia, grandine, temporali.",
+            parse_mode="Markdown"
+        )
+        return
+    
+    # Parsing intelligente degli argomenti con supporto virgolette usando shlex
+    def parse_quoted_args(args):
+        """Parsa argomenti considerando virgolette per nomi multipli usando shlex."""
+        # Unisci tutti gli argomenti in una stringa e usa shlex per parsing corretto
+        args_str = " ".join(args)
+        try:
+            # shlex.split gestisce correttamente virgolette singole e doppie
+            parsed = shlex.split(args_str, posix=True)
+            return parsed
+        except ValueError:
+            # Fallback: se shlex fallisce, usa metodo semplice
+            result = []
+            current = []
+            in_quotes = False
+            quote_char = None
+            
+            for arg in args:
+                # Se inizia con virgolette, entra in modalità quote
+                if arg.startswith('"') or arg.startswith("'"):
+                    in_quotes = True
+                    quote_char = arg[0]
+                    arg_clean = arg[1:]  # Rimuovi virgolette iniziali
+                    current = [arg_clean]
+                # Se finisce con virgolette, esci dalla modalità quote
+                elif arg.endswith('"') or arg.endswith("'"):
+                    if in_quotes and (arg.endswith(quote_char) if quote_char else True):
+                        arg_clean = arg[:-1]  # Rimuovi virgolette finali
+                        current.append(arg_clean)
+                        result.append(" ".join(current))
+                        current = []
+                        in_quotes = False
+                        quote_char = None
+                    else:
+                        result.append(arg)
+                # Se siamo dentro le virgolette, aggiungi all'argomento corrente
+                elif in_quotes:
+                    current.append(arg)
+                # Altrimenti, argomento normale
+                else:
+                    result.append(arg)
+            
+            # Se rimangono argomenti non chiusi, uniscili
+            if current:
+                result.append(" ".join(current))
+            
+            return result
+    
+    parsed_args = parse_quoted_args(context.args)
+    
+    if len(parsed_args) < 2:
+        await update.message.reply_text(
+            "⚠️ Errore: servono almeno 2 località.\n"
+            "Usa virgolette per nomi multipli: `/road \"San Marino\" Rimini`",
+            parse_mode="Markdown"
+        )
+        return
+    
+    city1 = parsed_args[0]
+    city2 = parsed_args[1]
+    
+    await update.message.reply_text(
+        f"🔄 Analisi rischi meteo stradali: {city1} → {city2}...",
+        parse_mode="Markdown"
+    )
     
     try:
-        # Timeout 15s per RTSP
-        result = subprocess.run(["python3", CAM_SCRIPT, cam_name], capture_output=True, text=True, timeout=15)
-        output = result.stdout.strip()
+        # Importa funzioni da road_weather.py
+        import sys
+        sys.path.insert(0, SCRIPT_DIR)
+        from road_weather import (
+            analyze_route_weather_risks, 
+            format_route_weather_report, 
+            generate_route_weather_map, 
+            PANDAS_AVAILABLE
+        )
         
-        if output.startswith("OK:"):
-            img_path = output.split(":", 1)[1]
-            await update.message.reply_photo(photo=open(img_path, 'rb'), caption=f"📷 **{cam_name.capitalize()}**")
-        elif output.startswith("ERR:"):
-            await update.message.reply_text(output.split(":", 1)[1])
-        else:
-            await update.message.reply_text(f"❌ Risposta imprevista dallo script: {output}")
+        # Verifica disponibilità pandas
+        if not PANDAS_AVAILABLE:
+            await update.message.reply_text(
+                "❌ **Errore: dipendenze mancanti**\n\n"
+                "`pandas` e `numpy` sono richiesti per l'analisi avanzata.\n\n"
+                "**Installazione nel container Docker:**\n"
+                "```bash\n"
+                "docker exec -it <container_name> pip install --break-system-packages pandas numpy\n"
+                "```\n\n"
+                "Oppure aggiungi al Dockerfile:\n"
+                "```dockerfile\n"
+                "RUN pip install --break-system-packages pandas numpy\n"
+                "```",
+                parse_mode="Markdown"
+            )
+            return
+        
+        # Analizza percorso (auto-detect del miglior modello disponibile per la zona)
+        df = analyze_route_weather_risks(city1, city2, model_slug=None)
+        
+        if df is None or df.empty:
+            await update.message.reply_text(
+                f"❌ Errore: Impossibile ottenere dati per il percorso {city1} → {city2}.\n"
+                f"Verifica che i nomi delle località siano corretti.",
+                parse_mode="Markdown"
+            )
+            return
+        
+        # Formatta e invia report (compatto, sempre in un singolo messaggio)
+        report = format_route_weather_report(df, city1, city2)
+        await update.message.reply_text(report, parse_mode="Markdown")
+        
+        # Genera e invia mappa del percorso (sempre, dopo il messaggio testuale)
+        try:
+            import tempfile
+            map_file = tempfile.NamedTemporaryFile(delete=False, suffix='.png', dir=SCRIPT_DIR)
+            map_path = map_file.name
+            map_file.close()
             
+            map_generated = generate_route_weather_map(df, city1, city2, map_path)
+            if map_generated:
+                now = datetime.datetime.now()
+                caption = (
+                    f"🛣️ <b>Mappa Rischi Meteo Stradali</b>\n"
+                    f"📍 {city1} → {city2}\n"
+                    f"🕒 {now.strftime('%d/%m/%Y %H:%M')}"
+                )
+                
+                # Invia foto via Telegram
+                with open(map_path, 'rb') as photo_file:
+                    await update.message.reply_photo(
+                        photo=photo_file,
+                        caption=caption,
+                        parse_mode="HTML"
+                    )
+                
+                # Pulisci file temporaneo
+                try:
+                    os.unlink(map_path)
+                except:
+                    pass
+        except Exception as map_error:
+            logger.warning(f"Errore generazione mappa road: {map_error}")
+            # Non bloccare l'esecuzione se la mappa fallisce
+        
+    except ImportError as e:
+        # Gestione specifica per ImportError con messaggio dettagliato
+        error_msg = str(e)
+        await update.message.reply_text(
+            f"❌ **Errore: dipendenze mancanti**\n\n{error_msg}",
+            parse_mode="Markdown"
+        )
     except Exception as e:
-        await update.message.reply_text(f"❌ Errore critico: {e}")
+        logger.error(f"Errore road_command: {e}", exc_info=True)
+        await update.message.reply_text(
+            f"❌ Errore durante l'analisi: {str(e)}",
+            parse_mode="Markdown"
+        )
+
+@restricted
+async def meteo_viaggio_command(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
+    """Comando /meteo_viaggio: attiva/disattiva monitoraggio meteo per viaggio"""
+    chat_id = str(update.effective_chat.id)
+    
+    # Gestione comando "fine"
+    if context.args and len(context.args) == 1 and context.args[0].lower() in ["fine", "stop", "termina"]:
+        viaggio_rimosso = remove_viaggio(chat_id)
+        if viaggio_rimosso:
+            await update.message.reply_text(
+                "🎉 **Viaggio terminato!**\n\n"
+                "✅ Il monitoraggio meteo personalizzato è stato disattivato.\n"
+                "🏠 Ora riceverai solo gli avvisi per Casa.\n\n"
+                "Bentornato a Casa! 👋",
+                parse_mode="Markdown"
+            )
+        else:
+            await update.message.reply_text(
+                "ℹ️ Nessun viaggio attivo da terminare.\n"
+                "Usa `/meteo_viaggio <località>` per attivare un nuovo viaggio.",
+                parse_mode="Markdown"
+            )
+        return
+    
+    # Gestione attivazione viaggio
+    if not context.args:
+        viaggio_attivo = get_viaggio(chat_id)
+        if viaggio_attivo:
+            await update.message.reply_text(
+                f"ℹ️ **Viaggio attivo**\n\n"
+                f"📍 **{viaggio_attivo['name']}**\n"
+                f"Attivato: {viaggio_attivo.get('activated', 'N/A')}\n\n"
+                f"Usa `/meteo_viaggio fine` per terminare.",
+                parse_mode="Markdown"
+            )
+        else:
+            await update.message.reply_text(
+                "⚠️ Usa: `/meteo_viaggio <località>`\n\n"
+                "Esempio: `/meteo_viaggio Roma`\n\n"
+                "Per terminare: `/meteo_viaggio fine`",
+                parse_mode="Markdown"
+            )
+        return
+
+    location = " ".join(context.args)
+    
+    await update.message.reply_text(f"🔄 Attivazione monitoraggio viaggio per: **{location}**\n⏳ Elaborazione in corso...", parse_mode="Markdown")
+    
+    # Ottieni coordinate dalla localizzazione (usa meteo.py per geocoding)
+    try:
+        # Importa funzione get_coordinates da meteo.py
+        import sys
+        sys.path.insert(0, SCRIPT_DIR)
+        from meteo import get_coordinates
+        
+        coords = get_coordinates(location)
+        if not coords:
+            await update.message.reply_text(f"❌ Località '{location}' non trovata. Verifica il nome e riprova.", parse_mode="Markdown")
+            return
+        
+        lat, lon, name, cc = coords
+        
+        # Ottieni timezone per questa localizzazione
+        timezone = get_timezone_from_coords(lat, lon)
+        
+        # Conferma riconoscimento località
+        await update.message.reply_text(
+            f"✅ **Località riconosciuta!**\n\n"
+            f"📍 **{name}**\n"
+            f"🌍 Coordinate: {lat:.4f}, {lon:.4f}\n"
+            f"🕐 Fuso orario: {timezone}\n\n"
+            f"⏳ Generazione report meteo in corso...",
+            parse_mode="Markdown"
+        )
+        
+        # Salva viaggio attivo (sovrascrive se esiste già)
+        add_viaggio(chat_id, location, lat, lon, name, timezone)
+        
+        # Esegui meteo.py in modo sincrono e invia output come conferma
+        try:
+            report_meteo = call_meteo_script([
+                "--query", location,
+                "--timezone", timezone
+            ])
+            
+            if report_meteo and not report_meteo.startswith("Errore") and not report_meteo.startswith("⚠️"):
+                # Invia report meteo come conferma
+                await update.message.reply_text(
+                    f"📊 **Report Meteo - {name}**\n\n{report_meteo}",
+                    parse_mode="Markdown"
+                )
+        else:
+                await update.message.reply_text(
+                    f"⚠️ Errore nella generazione del report meteo:\n{report_meteo}",
+                    parse_mode="Markdown"
+                )
+        except Exception as e:
+            logger.exception(f"Errore esecuzione meteo.py: {e}")
+            await update.message.reply_text(
+                f"⚠️ Errore durante la generazione del report meteo: {str(e)}",
+                parse_mode="Markdown"
+            )
+        
+        # Esegui previsione7.py (invia direttamente a Telegram)
+        try:
+            # Nota: previsione7.py invia direttamente a Telegram, quindi eseguiamo lo script
+            result_meteo7 = subprocess.run(
+                ["python3", METEO7_SCRIPT, location, "--chat_id", chat_id, "--timezone", timezone],
+                capture_output=True,
+                text=True,
+                timeout=60
+            )
+            
+            if result_meteo7.returncode == 0:
+                await update.message.reply_text(
+                    f"✅ **Monitoraggio viaggio attivato!**\n\n"
+                    f"📨 **Report inviati:**\n"
+                    f"• Report meteo dettagliato ✓\n"
+                    f"• Previsione 7 giorni ✓\n\n"
+                    f"🎯 **Monitoraggio attivo per:**\n"
+                    f"📍 {name}\n"
+                    f"🕐 Fuso orario: {timezone}\n\n"
+                    f"📬 **Riceverai automaticamente:**\n"
+                    f"• Report meteo alle 8:00 AM (ora locale)\n"
+                    f"• Previsione 7 giorni alle 7:30 AM (ora locale)\n"
+                    f"• Avvisi meteo severi in tempo reale\n\n"
+                    f"Per terminare: `/meteo_viaggio fine`",
+                    parse_mode="Markdown"
+                )
+            else:
+                await update.message.reply_text(
+                    f"✅ Report meteo inviato!\n"
+                    f"⚠️ Errore nella previsione 7 giorni:\n{result_meteo7.stderr[:500]}\n\n"
+                    f"🎯 **Monitoraggio attivo per:** {name}",
+                    parse_mode="Markdown"
+                )
+        except Exception as e:
+            logger.exception(f"Errore esecuzione previsione7.py: {e}")
+            await update.message.reply_text(
+                f"✅ Report meteo inviato!\n"
+                f"⚠️ Errore nella previsione 7 giorni: {str(e)}\n\n"
+                f"🎯 **Monitoraggio attivo per:** {name}",
+                parse_mode="Markdown"
+            )
+        
+        # Lancia severe_weather.py in background (non blocca la risposta)
+        subprocess.Popen([
+            "python3", SEVERE_SCRIPT,
+            "--lat", str(lat),
+            "--lon", str(lon),
+            "--location", name,
+            "--timezone", timezone,
+            "--chat_id", chat_id
+        ])
+    except Exception as e:
+        logger.exception("Errore in meteo_viaggio: %s", e)
+        await update.message.reply_text(f"❌ Errore durante l'elaborazione: {str(e)}", parse_mode="Markdown")
 
 async def scheduled_morning_report(context: ContextTypes.DEFAULT_TYPE) -> None:
-    # Meteo automatico alle 8:00
-    report = call_script_text(METEO_SCRIPT, ["--home"])
+    # LANCIAMO LO SCRIPT ESTERNO PER CASA
+    report = call_meteo_script(["--home"])
     for uid in ALLOWED_IDS:
         try: await context.bot.send_message(chat_id=uid, text=report, parse_mode="Markdown")
         except: pass
 
-@restricted
-async def clip_command(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
-    if not context.args:
-        await update.message.reply_text("⚠️ Usa: `/clip <nome_camera>` (es. /clip sala)", parse_mode="Markdown")
-        return
-
-    cam_name = context.args[0]
-    await update.message.reply_chat_action(action="upload_video") # Icona "sta inviando video..."
-    await update.message.reply_text(f"🎥 **Registro 10s da {cam_name}...**", parse_mode="Markdown")
-    
-    try:
-        # Lancia lo script con flag --video
-        result = subprocess.run(["python3", CAM_SCRIPT, cam_name, "--video"], capture_output=True, text=True, timeout=20)
-        output = result.stdout.strip()
-        
-        if output.startswith("OK:"):
-            vid_path = output.split(":", 1)[1]
-            await update.message.reply_video(video=open(vid_path, 'rb'), caption=f"🎥 **Clip: {cam_name.capitalize()}**")
-        elif output.startswith("ERR:"):
-            await update.message.reply_text(output.split(":", 1)[1])
-            
-    except Exception as e:
-        await update.message.reply_text(f"❌ Errore critico: {e}")
-
 @restricted
 async def button_handler(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
     query = update.callback_query
-    await query.answer() # Risposta immediata per togliere il loading dal pulsante
+    await query.answer()
     data = query.data
 
-    # --- NAVIGAZIONE MENU ---
-    if data == "main_menu": 
-        await start(update, context)
+    if data == "main_menu": await start(update, context)
 
-    # --- SEZIONE METEO ---
     elif data == "req_meteo_home":
         await query.edit_message_text("⏳ **Scaricamento Meteo Casa...**", parse_mode="Markdown")
-        report = call_script_text(METEO_SCRIPT, ["--home"])
+        # LANCIAMO LO SCRIPT ESTERNO
+        report = call_meteo_script(["--home"])
         keyboard = [[InlineKeyboardButton("⬅️ Indietro", callback_data="main_menu")]]
         await query.edit_message_text(report, reply_markup=InlineKeyboardMarkup(keyboard), parse_mode="Markdown")
 
-    # --- SEZIONE CAMERE ---
-    elif data == "menu_cams":
-        keyboard = [
-            [InlineKeyboardButton("📷 Sala", callback_data="req_cam_sala"), InlineKeyboardButton("📷 Ingresso", callback_data="req_cam_ingresso")],
-            [InlineKeyboardButton("📷 Taverna", callback_data="req_cam_taverna"), InlineKeyboardButton("📷 Retro", callback_data="req_cam_retro")],
-            [InlineKeyboardButton("📷 Matrim.", callback_data="req_cam_matrimoniale"), InlineKeyboardButton("📷 Luca", callback_data="req_cam_luca")],
-            [InlineKeyboardButton("⬅️ Indietro", callback_data="main_menu")]
-        ]
-        await query.edit_message_text("📹 **Centrale Video**\nSeleziona una telecamera:", reply_markup=InlineKeyboardMarkup(keyboard), parse_mode="Markdown")
-
-    elif data.startswith("req_cam_"):
-        cam_name = data.replace("req_cam_", "")
-        # Non editiamo il messaggio, inviamo una nuova foto sotto
-        try:
-            result = subprocess.run(["python3", CAM_SCRIPT, cam_name], capture_output=True, text=True, timeout=15)
-            output = result.stdout.strip()
-            
-            if output.startswith("OK:"):
-                img_path = output.split(":", 1)[1]
-                await context.bot.send_photo(chat_id=update.effective_chat.id, photo=open(img_path, 'rb'), caption=f"📷 **{cam_name.capitalize()}**")
-            elif output.startswith("ERR:"):
-                await context.bot.send_message(chat_id=update.effective_chat.id, text=output.split(":", 1)[1])
-        except Exception as e:
-             await context.bot.send_message(chat_id=update.effective_chat.id, text=f"❌ Errore richiesta cam: {e}")
-
-    elif data.startswith("req_vid_"):
-        cam_name = data.replace("req_vid_", "")
-        await query.answer("🎥 Registrazione in corso (10s)...")
-        # Inviamo un messaggio di attesa perché ci mette un po'
-        msg = await context.bot.send_message(chat_id=update.effective_chat.id, text=f"⏳ Registro clip: {cam_name}...")
-        
-        try:
-            result = subprocess.run(["python3", CAM_SCRIPT, cam_name, "--video"], capture_output=True, text=True, timeout=20)
-            output = result.stdout.strip()
-            
-            # Cancelliamo il messaggio di attesa
-            await context.bot.delete_message(chat_id=update.effective_chat.id, message_id=msg.message_id)
-
-            if output.startswith("OK:"):
-                vid_path = output.split(":", 1)[1]
-                await context.bot.send_video(chat_id=update.effective_chat.id, video=open(vid_path, 'rb'), caption=f"🎥 **Clip: {cam_name.capitalize()}**")
-            elif output.startswith("ERR:"):
-                await context.bot.send_message(chat_id=update.effective_chat.id, text=output.split(":", 1)[1])
-        except Exception as e:
-             await context.bot.send_message(chat_id=update.effective_chat.id, text=f"❌ Errore: {e}")
-
-    # --- SEZIONE SISTEMA CORE ---
     elif data == "menu_core":
         keyboard = []
         for i, dev in enumerate(CORE_DEVICES): keyboard.append([InlineKeyboardButton(dev['name'], callback_data=f"stat_{i}")])
@@ -313,7 +768,6 @@ async def button_handler(update: Update, context: ContextTypes.DEFAULT_TYPE) ->
         await query.edit_message_text(f"⏳ Controllo {dev['name']}...", parse_mode="Markdown")
         await query.edit_message_text(f"🔹 **{dev['name']}**\n\n{get_device_stats(dev)}", reply_markup=InlineKeyboardMarkup([[InlineKeyboardButton("⬅️ Indietro", callback_data="menu_core")]]), parse_mode="Markdown")
 
-    # --- SEZIONE LAN ---
     elif data == "menu_lan":
         await query.edit_message_text("⏳ **Scansione LAN...**", parse_mode="Markdown")
         report = "🔍 **DIAGNOSTICA LAN**\n\n"
@@ -337,7 +791,6 @@ async def button_handler(update: Update, context: ContextTypes.DEFAULT_TYPE) ->
         res = run_cmd("reboot", dev['ip'], "admin")
         await query.edit_message_text(f"⚡ Inviato a {dev['name']}...\n\n`{res}`", reply_markup=InlineKeyboardMarkup([[InlineKeyboardButton("⬅️ Indietro", callback_data="menu_reboot")]]), parse_mode="Markdown")
 
-    # --- SEZIONE PI-HOLE ---
     elif data == "menu_pihole":
         status_raw = run_cmd("sudo pihole status", MASTER_IP, SSH_USER)
         icon = "✅" if "Enabled" in status_raw or "enabled" in status_raw else "🔴"
@@ -351,18 +804,16 @@ async def button_handler(update: Update, context: ContextTypes.DEFAULT_TYPE) ->
         elif "restart" in data: run_cmd("sudo systemctl restart pihole-FTL", MASTER_IP, SSH_USER)
         await query.edit_message_text("✅ Comando inviato.", reply_markup=InlineKeyboardMarkup([[InlineKeyboardButton("⬅️ Indietro", callback_data="menu_pihole")]]), parse_mode="Markdown")
 
-    # --- SEZIONE RETE ---
     elif data == "menu_net":
         ip = run_cmd("curl -s ifconfig.me")
         keyboard = [[InlineKeyboardButton("🚀 Speedtest", callback_data="net_speedtest")], [InlineKeyboardButton("⬅️ Indietro", callback_data="main_menu")]]
         await query.edit_message_text(f"🌐 **Rete**\n🌍 IP: `{ip}`", reply_markup=InlineKeyboardMarkup(keyboard), parse_mode="Markdown")
 
     elif data == "net_speedtest":
-        await query.edit_message_text("🚀 **Speedtest... (attendi 40s)**", parse_mode="Markdown")
+        await query.edit_message_text("🚀 **Speedtest...**", parse_mode="Markdown")
         res = run_speedtest()
         await query.edit_message_text(f"🚀 **Risultato:**\n\n`{res}`", reply_markup=InlineKeyboardMarkup([[InlineKeyboardButton("⬅️ Indietro", callback_data="menu_net")]]), parse_mode="Markdown")
 
-    # --- SEZIONE LOGS ---
     elif data == "menu_logs":
         keyboard = [[InlineKeyboardButton("🐶 Watchdog", callback_data="log_wd"), InlineKeyboardButton("💾 Backup", callback_data="log_bk")], [InlineKeyboardButton("🔄 NPM Sync", callback_data="log_npm"), InlineKeyboardButton("⬅️ Indietro", callback_data="main_menu")]]
         await query.edit_message_text("📜 **Logs**", reply_markup=InlineKeyboardMarkup(keyboard), parse_mode="Markdown")
@@ -372,25 +823,24 @@ async def button_handler(update: Update, context: ContextTypes.DEFAULT_TYPE) ->
         log_c = read_log_file(paths[data])
         await query.edit_message_text(f"📜 **Log:**\n\n`{log_c}`", reply_markup=InlineKeyboardMarkup([[InlineKeyboardButton("⬅️ Indietro", callback_data="menu_logs")]]), parse_mode="Markdown")
 
+
 def main():
-    logger.info("Avvio Loogle Bot v9.0 (Modular)...")
+    logger.info("Avvio Loogle Bot v8.1 (Modulare)...")
     application = Application.builder().token(BOT_TOKEN).build()
     
-    # Registrazione Comandi
     application.add_handler(CommandHandler("start", start))
     application.add_handler(CommandHandler("meteo", meteo_command))
     application.add_handler(CommandHandler("meteo7", meteo7_command))
-    application.add_handler(CommandHandler("cam", cam_command))
-    application.add_handler(CommandHandler("clip", clip_command))
-    
-    # Registrazione Callback Menu
+    application.add_handler(CommandHandler("meteo_viaggio", meteo_viaggio_command))
+    application.add_handler(CommandHandler("road", road_command))
+    application.add_handler(CommandHandler("irrigazione", irrigazione_command))
+    application.add_handler(CommandHandler("snowradar", snowradar_command))
     application.add_handler(CallbackQueryHandler(button_handler))
     
-    # Scheduler
     job_queue = application.job_queue
     job_queue.run_daily(scheduled_morning_report, time=datetime.time(hour=8, minute=0, tzinfo=TZINFO), days=(0, 1, 2, 3, 4, 5, 6))
     
     application.run_polling()
 
 if __name__ == "__main__":
-    main()
+    main()

services/telegram-bot/civil_protection.py

@@ -1,6 +1,7 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 
+import argparse
 import datetime
 import html as html_lib
 import json
@@ -10,6 +11,7 @@ import re
 import time
 from html.parser import HTMLParser
 from logging.handlers import RotatingFileHandler
+from typing import List, Optional
 from zoneinfo import ZoneInfo
 
 import requests
@@ -126,17 +128,24 @@ def load_bot_token() -> str:
 
     return ""
 
-def telegram_send_html(message_html: str) -> bool:
+def telegram_send_html(message_html: str, chat_ids: Optional[List[str]] = None) -> bool:
     """
     Prova a inviare il messaggio. Non solleva eccezioni.
     Ritorna True se almeno un invio ha avuto status 200.
     Importante: lo script chiama questa funzione SOLO in caso di allerte.
+    
+    Args:
+        message_html: Messaggio HTML da inviare
+        chat_ids: Lista di chat IDs (default: TELEGRAM_CHAT_IDS)
     """
     token = load_bot_token()
     if not token:
         LOGGER.warning("Token Telegram assente. Nessun invio effettuato.")
         return False
 
+    if chat_ids is None:
+        chat_ids = TELEGRAM_CHAT_IDS
+
     url = f"https://api.telegram.org/bot{token}/sendMessage"
     base_payload = {
         "text": message_html,
@@ -146,7 +155,7 @@ def telegram_send_html(message_html: str) -> bool:
 
     sent_ok = False
     with requests.Session() as s:
-        for chat_id in TELEGRAM_CHAT_IDS:
+        for chat_id in chat_ids:
             payload = dict(base_payload)
             payload["chat_id"] = chat_id
             try:
@@ -322,7 +331,7 @@ def format_message(parsed: dict) -> str:
 # Main
 # =============================================================================
 
-def main():
+def main(chat_ids: Optional[List[str]] = None, debug_mode: bool = False):
     LOGGER.info("--- Controllo Protezione Civile (Bollettino ufficiale) ---")
 
     try:
@@ -340,8 +349,20 @@ def main():
             LOGGER.debug("%s label=%s", k, d.get("date_label", ""))
             LOGGER.debug("%s alerts=%s", k, d.get("alerts", {}))
 
-    # Regola: invia Telegram SOLO se esistono allerte
+    # Regola: invia Telegram SOLO se esistono allerte (tranne in debug)
     if not has_any_alert(parsed):
+        if debug_mode:
+            # In modalità debug, crea un messaggio informativo anche se non ci sono allerte
+            LOGGER.info("[DEBUG MODE] Nessuna allerta, ma creo messaggio informativo")
+            msg = format_message(parsed)
+            # Aggiungi prefisso per indicare che non ci sono allerte
+            msg = f"ℹ️ <b>DEBUG: Nessuna allerta attiva</b>\n\n{msg}"
+            sent_ok = telegram_send_html(msg, chat_ids=chat_ids)
+            if sent_ok:
+                LOGGER.info("Messaggio debug inviato con successo.")
+            else:
+                LOGGER.warning("Invio debug non riuscito (token mancante o errore Telegram).")
+        else:
         LOGGER.info("Nessuna allerta nelle zone monitorate. Nessuna notifica inviata.")
         return
 
@@ -349,13 +370,16 @@ def main():
     state = load_state()
     last_sig = state.get("last_alert_signature", "")
 
-    if sig == last_sig:
+    # In modalità debug, bypassa controlli anti-spam
+    if debug_mode:
+        LOGGER.info("[DEBUG MODE] Bypass anti-spam: invio forzato")
+    elif sig == last_sig:
         LOGGER.info("Allerta già notificata e invariata. Nessuna nuova notifica.")
         return
 
     # A questo punto: ci sono allerte e sono nuove -> prova invio
     msg = format_message(parsed)
-    sent_ok = telegram_send_html(msg)
+    sent_ok = telegram_send_html(msg, chat_ids=chat_ids)
 
     if sent_ok:
         LOGGER.info("Notifica allerta inviata con successo.")
@@ -368,4 +392,11 @@ def main():
         LOGGER.warning("Invio non riuscito (token mancante o errore Telegram). Stato NON aggiornato.")
 
 if __name__ == "__main__":
-    main()
+    parser = argparse.ArgumentParser(description="Civil protection alert")
+    parser.add_argument("--debug", action="store_true", help="Invia messaggi solo all'admin (chat ID: %s)" % TELEGRAM_CHAT_IDS[0])
+    args = parser.parse_args()
+    
+    # In modalità debug, invia solo al primo chat ID (admin) e bypassa anti-spam
+    chat_ids = [TELEGRAM_CHAT_IDS[0]] if args.debug else None
+    
+    main(chat_ids=chat_ids, debug_mode=args.debug)

services/telegram-bot/daily_report.py

@@ -1,6 +1,7 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 
+import argparse
 import sqlite3
 import os
 import datetime
@@ -92,7 +93,12 @@ def load_bot_token() -> str:
     return tok.strip() if tok else ""
 
 
-def send_telegram_message(message: str) -> None:
+def send_telegram_message(message: str, chat_ids: Optional[List[str]] = None) -> None:
+    """
+    Args:
+        message: Messaggio da inviare
+        chat_ids: Lista di chat IDs (default: TELEGRAM_CHAT_IDS)
+    """
     if not message:
         return
 
@@ -101,9 +107,12 @@ def send_telegram_message(message: str) -> None:
         LOGGER.error("Token Telegram mancante (env/file). Messaggio NON inviato.")
         return
 
+    if chat_ids is None:
+        chat_ids = TELEGRAM_CHAT_IDS
+
     url = f"https://api.telegram.org/bot{bot_token}/sendMessage"
 
-    for chat_id in TELEGRAM_CHAT_IDS:
+    for chat_id in chat_ids:
         payload = {
             "chat_id": chat_id,
             "text": message,
@@ -312,7 +321,7 @@ def generate_report(db_path: str) -> Optional[str]:
     return msg
 
 
-def main() -> None:
+def main(chat_ids: Optional[List[str]] = None) -> None:
     db_path = find_local_db_path()
     if not db_path:
         db_path = docker_copy_db_to_temp()
@@ -329,10 +338,17 @@ def main() -> None:
 
     report = generate_report(db_path)
     if report:
-        send_telegram_message(report)
+        send_telegram_message(report, chat_ids=chat_ids)
     else:
         LOGGER.info("Nessun report da inviare.")
 
 
 if __name__ == "__main__":
-    main()
+    parser = argparse.ArgumentParser(description="Daily report")
+    parser.add_argument("--debug", action="store_true", help="Invia messaggi solo all'admin (chat ID: %s)" % TELEGRAM_CHAT_IDS[0])
+    args = parser.parse_args()
+    
+    # In modalità debug, invia solo al primo chat ID (admin)
+    chat_ids = [TELEGRAM_CHAT_IDS[0]] if args.debug else None
+    
+    main(chat_ids=chat_ids)

services/telegram-bot/freeze_alert.py

@@ -1,6 +1,7 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 
+import argparse
 import datetime
 import html
 import json
@@ -8,7 +9,7 @@ import logging
 import os
 import time
 from logging.handlers import RotatingFileHandler
-from typing import Dict, Optional, Tuple
+from typing import Dict, List, Optional, Tuple
 from zoneinfo import ZoneInfo
 
 import requests
@@ -46,14 +47,14 @@ LON = 12.4296
 LOCATION_NAME = "🏠 Casa (Strada Cà Toro)"
 
 # ----------------- THRESHOLD -----------------
-SOGLIA_GELO = 0.0  # °C (allerta se min < 0.0°C)
+SOGLIA_GELO = 0.0  # °C (allerta se min <= 0.0°C, include anche temperature esattamente a zero)
 
 # ----------------- HORIZON -----------------
 HOURS_AHEAD = 48
 FORECAST_DAYS = 3  # per coprire bene 48h
 
 # ----------------- TIMEZONE -----------------
-TZ = "Europe/Rome"
+TZ = "Europe/Berlin"
 TZINFO = ZoneInfo(TZ)
 
 # ----------------- FILES -----------------
@@ -143,16 +144,23 @@ def fmt_dt(dt: datetime.datetime) -> str:
 # =============================================================================
 # TELEGRAM
 # =============================================================================
-def telegram_send_html(message_html: str) -> bool:
+def telegram_send_html(message_html: str, chat_ids: Optional[List[str]] = None) -> bool:
     """
     Non solleva eccezioni. Ritorna True se almeno un invio ha successo.
     IMPORTANTE: chiamare solo per allerte (mai per errori).
+    
+    Args:
+        message_html: Messaggio HTML da inviare
+        chat_ids: Lista di chat IDs (default: TELEGRAM_CHAT_IDS)
     """
     token = load_bot_token()
     if not token:
         LOGGER.warning("Telegram token missing: message not sent.")
         return False
 
+    if chat_ids is None:
+        chat_ids = TELEGRAM_CHAT_IDS
+
     url = f"https://api.telegram.org/bot{token}/sendMessage"
     base_payload = {
         "text": message_html,
@@ -162,7 +170,7 @@ def telegram_send_html(message_html: str) -> bool:
 
     sent_ok = False
     with requests.Session() as s:
-        for chat_id in TELEGRAM_CHAT_IDS:
+        for chat_id in chat_ids:
             payload = dict(base_payload)
             payload["chat_id"] = chat_id
             try:
@@ -189,12 +197,16 @@ def load_state() -> Dict:
         "min_time": "",
         "signature": "",
         "updated": "",
+        "notified_periods": [],  # Lista di fasce orarie già notificate: [{"start": iso, "end": iso}, ...]
     }
     if os.path.exists(STATE_FILE):
         try:
             with open(STATE_FILE, "r", encoding="utf-8") as f:
                 data = json.load(f) or {}
                 default.update(data)
+                # Assicura che notified_periods esista
+                if "notified_periods" not in default:
+                    default["notified_periods"] = []
         except Exception as e:
             LOGGER.exception("State read error: %s", e)
     return default
@@ -220,6 +232,8 @@ def get_forecast() -> Optional[Dict]:
         "hourly": "temperature_2m",
         "timezone": TZ,
         "forecast_days": FORECAST_DAYS,
+        "models": "meteofrance_seamless",  # Usa seamless per avere minutely_15
+        "minutely_15": "temperature_2m",  # Dettaglio 15 minuti per inizio preciso gelo
     }
     try:
         r = requests.get(OPEN_METEO_URL, params=params, headers=HTTP_HEADERS, timeout=25)
@@ -237,50 +251,159 @@ def get_forecast() -> Optional[Dict]:
         return None
 
 
-def compute_min_next_48h(data: Dict) -> Optional[Tuple[float, datetime.datetime]]:
+def compute_freezing_periods(data: Dict) -> Tuple[Optional[float], Optional[datetime.datetime], List[Tuple[datetime.datetime, datetime.datetime]]]:
+    """
+    Calcola la temperatura minima e tutte le fasce orarie con gelo (temp <= 0°C).
+    
+    Returns:
+        (min_temp_val, min_temp_time, freezing_periods)
+        freezing_periods: lista di tuple (start_time, end_time) per ogni fascia oraria con gelo
+    """
     hourly = data.get("hourly", {}) or {}
+    minutely = data.get("minutely_15", {}) or {}
     times = hourly.get("time", []) or []
     temps = hourly.get("temperature_2m", []) or []
-
-    n = min(len(times), len(temps))
-    if n == 0:
-        return None
+    
+    LOGGER.debug("Dati hourly: %d timestamps, %d temperature", len(times), len(temps))
+    
+    # Usa minutely_15 se disponibile per maggiore precisione
+    minutely_times = minutely.get("time", []) or []
+    minutely_temps = minutely.get("temperature_2m", []) or []
+    use_minutely = bool(minutely_times) and len(minutely_times) > 0
+    
+    LOGGER.debug("Dati minutely_15: %d timestamps, %d temperature, use_minutely=%s", 
+                 len(minutely_times), len(minutely_temps), use_minutely)
 
     now = now_local()
     limit_time = now + datetime.timedelta(hours=HOURS_AHEAD)
+    LOGGER.debug("Finestra temporale: da %s a %s", now.isoformat(), limit_time.isoformat())
 
     min_temp_val = 100.0
     min_temp_time: Optional[datetime.datetime] = None
+    freezing_periods: List[Tuple[datetime.datetime, datetime.datetime]] = []
+    temps_near_zero = []  # Per debug: temperature vicine allo zero (0-2°C)
 
-    for i in range(n):
-        try:
-            t_obj = parse_time_to_local(times[i])
-        except Exception:
-            continue
+    # Priorità a minutely_15 se disponibile (risoluzione 15 minuti)
+    if use_minutely:
+        for i, t_str in enumerate(minutely_times):
+            try:
+                t_obj = parse_time_to_local(t_str)
+            except Exception:
+                continue
 
-        # solo intervallo (now, now+48h]
-        if t_obj <= now or t_obj > limit_time:
-            continue
+            if t_obj <= now or t_obj > limit_time:
+                continue
 
-        try:
-            temp = float(temps[i])
-        except Exception:
-            continue
+            try:
+                temp = float(minutely_temps[i]) if i < len(minutely_temps) and minutely_temps[i] is not None else 100.0
+            except Exception:
+                continue
 
-        if temp < min_temp_val:
-            min_temp_val = temp
-            min_temp_time = t_obj
+            # Raccogli temperature vicine allo zero per debug
+            if 0.0 <= temp <= 2.0:
+                temps_near_zero.append((temp, t_obj))
+
+            if temp < min_temp_val:
+                min_temp_val = temp
+                min_temp_time = t_obj
+    else:
+        # Fallback a hourly
+        n = min(len(times), len(temps))
+        if n == 0:
+            return None, None, []
+
+        for i in range(n):
+            try:
+                t_obj = parse_time_to_local(times[i])
+            except Exception:
+                continue
+
+            if t_obj <= now or t_obj > limit_time:
+                continue
+
+            try:
+                temp = float(temps[i])
+            except Exception:
+                continue
+
+            # Raccogli temperature vicine allo zero per debug
+            if 0.0 <= temp <= 2.0:
+                temps_near_zero.append((temp, t_obj))
+
+            if temp < min_temp_val:
+                min_temp_val = temp
+                min_temp_time = t_obj
+
+    # Raggruppa le temperature <= 0°C in fasce orarie continue
+    # Una fascia oraria è un periodo continuo di tempo con temperatura <= 0°C
+    freezing_times: List[datetime.datetime] = []
+    if use_minutely:
+        for i, t_str in enumerate(minutely_times):
+            try:
+                t_obj = parse_time_to_local(t_str)
+            except Exception:
+                continue
+            if t_obj <= now or t_obj > limit_time:
+                continue
+            try:
+                temp = float(minutely_temps[i]) if i < len(minutely_temps) and minutely_temps[i] is not None else 100.0
+            except Exception:
+                continue
+            if temp <= SOGLIA_GELO:
+                freezing_times.append(t_obj)
+    else:
+        for i in range(min(len(times), len(temps))):
+            try:
+                t_obj = parse_time_to_local(times[i])
+            except Exception:
+                continue
+            if t_obj <= now or t_obj > limit_time:
+                continue
+            try:
+                temp = float(temps[i])
+            except Exception:
+                continue
+            if temp <= SOGLIA_GELO:
+                freezing_times.append(t_obj)
+    
+    # Raggruppa in fasce orarie continue (max gap di 1 ora tra due timestamp consecutivi)
+    if freezing_times:
+        freezing_times.sort()
+        current_start = freezing_times[0]
+        current_end = freezing_times[0]
+        
+        for t in freezing_times[1:]:
+            # Se il gap è > 1 ora, chiudi la fascia corrente e inizia una nuova
+            if (t - current_end).total_seconds() > 3600:
+                freezing_periods.append((current_start, current_end))
+                current_start = t
+            current_end = t
+        # Aggiungi l'ultima fascia
+        freezing_periods.append((current_start, current_end))
 
     if min_temp_time is None:
-        return None
+        LOGGER.warning("Nessuna temperatura minima trovata nella finestra temporale")
+        return None, None, []
 
-    return float(min_temp_val), min_temp_time
+    LOGGER.debug("Temperatura minima trovata: %.1f°C alle %s", min_temp_val, min_temp_time.isoformat())
+    LOGGER.info("Fasce orarie con gelo rilevate: %d", len(freezing_periods))
+    for i, (start, end) in enumerate(freezing_periods[:5]):  # Mostra prime 5
+        LOGGER.info("  Fascia %d: %s - %s", i+1, start.strftime("%d/%m %H:%M"), end.strftime("%d/%m %H:%M"))
+    
+    # Log temperature vicine allo zero per debug
+    if temps_near_zero:
+        temps_near_zero.sort(key=lambda x: x[0])  # Ordina per temperatura
+        LOGGER.info("Temperature vicine allo zero (0-2°C) rilevate: %d occorrenze", len(temps_near_zero))
+        for temp, t_obj in temps_near_zero[:5]:  # Mostra prime 5
+            LOGGER.info("  %.1f°C alle %s", temp, t_obj.strftime("%d/%m %H:%M"))
+    
+    return float(min_temp_val), min_temp_time, freezing_periods
 
 
 # =============================================================================
 # MAIN
 # =============================================================================
-def analyze_freeze() -> None:
+def analyze_freeze(chat_ids: Optional[List[str]] = None, debug_mode: bool = False) -> None:
     LOGGER.info("--- Controllo Gelo (next %sh) ---", HOURS_AHEAD)
 
     data = get_forecast()
@@ -288,52 +411,112 @@ def analyze_freeze() -> None:
         # errori: solo log
         return
 
-    result = compute_min_next_48h(data)
-    if not result:
+    result = compute_freezing_periods(data)
+    if result[0] is None:
         LOGGER.error("Impossibile calcolare minima nelle prossime %s ore.", HOURS_AHEAD)
         return
 
-    min_temp_val, min_temp_time = result
-    is_freezing = (min_temp_val < SOGLIA_GELO)
+    min_temp_val, min_temp_time, freezing_periods = result
+    LOGGER.info("Temperatura minima rilevata: %.1f°C alle %s", min_temp_val, min_temp_time.isoformat())
+    LOGGER.info("Soglia gelo: %.1f°C", SOGLIA_GELO)
+    
+    # Segnala se temperatura <= soglia (include anche 0.0°C e temperature vicine allo zero)
+    # Cambiato da < a <= per includere anche temperature esattamente a 0.0°C
+    is_freezing = (min_temp_val <= SOGLIA_GELO)
+    LOGGER.info("Condizione gelo: min_temp_val (%.1f) <= SOGLIA_GELO (%.1f) = %s", 
+                min_temp_val, SOGLIA_GELO, is_freezing)
 
     state = load_state()
     was_active = bool(state.get("alert_active", False))
-    last_sig = str(state.get("signature", ""))
+    notified_periods = state.get("notified_periods", [])
+    LOGGER.info("Stato precedente: alert_active=%s, last_min_temp=%.1f, notified_periods=%d", 
+                was_active, state.get("min_temp", 100.0), len(notified_periods))
 
-    # firma per evitare spam: temp (0.1) + timestamp
-    sig = f"{min_temp_val:.1f}|{min_temp_time.isoformat()}"
+    # Verifica se ci sono nuove fasce orarie con gelo non ancora notificate
+    new_periods = []
+    for period_start, period_end in freezing_periods:
+        is_new = True
+        for notified in notified_periods:
+            # Una fascia è considerata "già notificata" se si sovrappone significativamente
+            # (almeno 1 ora di sovrapposizione) con una fascia già notificata
+            try:
+                notif_start = parser.isoparse(notified["start"])
+                notif_end = parser.isoparse(notified["end"])
+                # Calcola sovrapposizione
+                overlap_start = max(period_start, notif_start)
+                overlap_end = min(period_end, notif_end)
+                if overlap_start < overlap_end:
+                    overlap_hours = (overlap_end - overlap_start).total_seconds() / 3600
+                    if overlap_hours >= 1.0:  # Almeno 1 ora di sovrapposizione
+                        is_new = False
+                        break
+            except Exception:
+                continue
+        if is_new:
+            new_periods.append((period_start, period_end))
 
-    if is_freezing:
         # invia se:
         #  - prima non era attivo, oppure
-        #  - peggiora di almeno 2°C, oppure
-        #  - cambia la firma (es. orario minima spostato o min diversa)
+    #  - peggiora di almeno 2°C rispetto alla minima precedente, oppure
+    #  - c'è almeno una nuova fascia oraria con gelo non ancora notificata
         prev_min = float(state.get("min_temp", 100.0) or 100.0)
+    has_new_periods = len(new_periods) > 0
+    significant_worsening = (min_temp_val < prev_min - 2.0)
 
-        should_notify = (not was_active) or (min_temp_val < prev_min - 2.0) or (sig != last_sig)
+    should_notify = (not was_active) or significant_worsening or has_new_periods
+    
+    # In modalità debug, bypassa tutti i controlli anti-spam e invia sempre
+    if debug_mode:
+        should_notify = True
+        LOGGER.info("[DEBUG MODE] Bypass anti-spam: invio forzato")
+    
+    LOGGER.info("Nuove fasce orarie con gelo: %d (notificate: %d)", len(new_periods), len(notified_periods))
+    if has_new_periods:
+        for i, (start, end) in enumerate(new_periods):
+            LOGGER.info("  Nuova fascia %d: %s - %s", i+1, start.strftime("%d/%m %H:%M"), end.strftime("%d/%m %H:%M"))
 
         if should_notify:
-            msg = (
-                "❄️ <b>ALLERTA GELO</b><br/>"
-                f"📍 {html.escape(LOCATION_NAME)}<br/><br/>"
-                f"Minima prevista (entro {HOURS_AHEAD}h): <b>{min_temp_val:.1f}°C</b><br/>"
-                f"📅 Quando: <b>{html.escape(fmt_dt(min_temp_time))}</b><br/><br/>"
-                "<i>Proteggere piante e tubature esterne.</i>"
-            )
-            ok = telegram_send_html(msg)
+        # Costruisci messaggio con dettagli sulle nuove fasce orarie
+        period_details = []
+        if has_new_periods:
+            for start, end in new_periods[:3]:  # Max 3 fasce nel messaggio
+                if start.date() == end.date():
+                    period_details.append(f"{start.strftime('%d/%m %H:%M')}-{end.strftime('%H:%M')}")
+                else:
+                    period_details.append(f"{start.strftime('%d/%m %H:%M')}-{end.strftime('%d/%m %H:%M')}")
+        
+        msg_parts = [
+            "❄️ <b>ALLERTA GELO</b>\n",
+            f"📍 {html.escape(LOCATION_NAME)}\n\n",
+            f"Minima prevista (entro {HOURS_AHEAD}h): <b>{min_temp_val:.1f}°C</b>\n",
+            f"📅 Quando: <b>{html.escape(fmt_dt(min_temp_time))}</b>",
+        ]
+        if period_details:
+            msg_parts.append("\n🕒 Fasce orarie: " + ", ".join(period_details))
+        msg_parts.append("\n\n<i>Proteggere piante e tubature esterne.</i>")
+        
+        msg = "".join(msg_parts)
+            ok = telegram_send_html(msg, chat_ids=chat_ids)
             if ok:
-                LOGGER.info("Allerta gelo inviata. Tmin=%.1f°C at %s", min_temp_val, min_temp_time.isoformat())
+            LOGGER.info("Allerta gelo inviata. Tmin=%.1f°C at %s, nuove fasce: %d", 
+                       min_temp_val, min_temp_time.isoformat(), len(new_periods))
+            # Aggiorna le fasce notificate
+            for start, end in new_periods:
+                notified_periods.append({
+                    "start": start.isoformat(),
+                    "end": end.isoformat(),
+                })
             else:
                 LOGGER.warning("Allerta gelo NON inviata (token mancante o errore Telegram).")
 
         else:
-            LOGGER.info("Gelo già notificato (invariato o peggioramento < 2°C). Tmin=%.1f°C", min_temp_val)
+        LOGGER.info("Gelo già notificato (nessuna nuova fascia oraria, peggioramento < 2°C). Tmin=%.1f°C", min_temp_val)
 
         state.update({
             "alert_active": True,
             "min_temp": min_temp_val,
             "min_time": min_temp_time.isoformat(),
-            "signature": sig,
+            "notified_periods": notified_periods,
         })
         save_state(state)
         return
@@ -341,12 +524,12 @@ def analyze_freeze() -> None:
     # --- RIENTRO ---
     if was_active and not is_freezing:
         msg = (
-            "☀️ <b>RISCHIO GELO RIENTRATO</b><br/>"
-            f"📍 {html.escape(LOCATION_NAME)}<br/><br/>"
-            f"Le previsioni nelle prossime {HOURS_AHEAD} ore indicano temperature sopra lo zero.<br/>"
+            "☀️ <b>RISCHIO GELO RIENTRATO</b>\n"
+            f"📍 {html.escape(LOCATION_NAME)}\n\n"
+            f"Le previsioni nelle prossime {HOURS_AHEAD} ore indicano temperature sopra lo zero.\n"
             f"Minima prevista: <b>{min_temp_val:.1f}°C</b> (alle {html.escape(fmt_dt(min_temp_time))})."
         )
-        ok = telegram_send_html(msg)
+        ok = telegram_send_html(msg, chat_ids=chat_ids)
         if ok:
             LOGGER.info("Rientro gelo notificato. Tmin=%.1f°C", min_temp_val)
         else:
@@ -356,7 +539,7 @@ def analyze_freeze() -> None:
             "alert_active": False,
             "min_temp": min_temp_val,
             "min_time": min_temp_time.isoformat(),
-            "signature": "",
+            "notified_periods": [],  # Reset quando il gelo rientra
         })
         save_state(state)
         return
@@ -366,11 +549,18 @@ def analyze_freeze() -> None:
         "alert_active": False,
         "min_temp": min_temp_val,
         "min_time": min_temp_time.isoformat(),
-        "signature": "",
+        "notified_periods": [],  # Reset quando non c'è gelo
     })
     save_state(state)
     LOGGER.info("Nessun gelo. Tmin=%.1f°C at %s", min_temp_val, min_temp_time.isoformat())
 
 
 if __name__ == "__main__":
-    analyze_freeze()
+    arg_parser = argparse.ArgumentParser(description="Freeze alert")
+    arg_parser.add_argument("--debug", action="store_true", help="Invia messaggi solo all'admin (chat ID: %s)" % TELEGRAM_CHAT_IDS[0])
+    args = arg_parser.parse_args()
+    
+    # In modalità debug, invia solo al primo chat ID (admin) e bypassa anti-spam
+    chat_ids = [TELEGRAM_CHAT_IDS[0]] if args.debug else None
+    
+    analyze_freeze(chat_ids=chat_ids, debug_mode=args.debug)

services/telegram-bot/meteo.py

@@ -4,8 +4,11 @@ import datetime
 import argparse
 import sys
 import logging
+import os
+import time
+from typing import Optional, List
 from zoneinfo import ZoneInfo
-from dateutil import parser as date_parser # pyright: ignore[reportMissingModuleSource]
+from dateutil import parser as date_parser
 
 # Setup logging
 logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
@@ -15,16 +18,77 @@ logger = logging.getLogger(__name__)
 HOME_LAT = 43.9356
 HOME_LON = 12.4296
 HOME_NAME = "🏠 Casa (Wide View ±12km)"
-TZ = "Europe/Rome"
+TZ = "Europe/Berlin"
 TZINFO = ZoneInfo(TZ)
 
-# Offset ~12-15km
+# Offset ~12-15km per i 5 punti
 OFFSET_LAT = 0.12 
 OFFSET_LON = 0.16 
 
 OPEN_METEO_URL = "https://api.open-meteo.com/v1/forecast"
 GEOCODING_URL = "https://geocoding-api.open-meteo.com/v1/search"
-HTTP_HEADERS = {"User-Agent": "loogle-bot-v10.4"}
+HTTP_HEADERS = {"User-Agent": "loogle-bot-v10.5"}
+
+# --- TELEGRAM CONFIG ---
+TOKEN_FILE_HOME = os.path.expanduser("~/.telegram_dpc_bot_token")
+TOKEN_FILE_ETC = "/etc/telegram_dpc_bot_token"
+
+def read_text_file(path: str) -> str:
+    try:
+        with open(path, "r", encoding="utf-8") as f:
+            return f.read().strip()
+    except FileNotFoundError:
+        return ""
+    except PermissionError:
+        return ""
+    except Exception as e:
+        logger.error(f"Error reading {path}: {e}")
+        return ""
+
+def load_bot_token() -> str:
+    tok = os.environ.get("TELEGRAM_BOT_TOKEN", "").strip()
+    if tok:
+        return tok
+    tok = read_text_file(TOKEN_FILE_HOME)
+    if tok:
+        return tok
+    tok = read_text_file(TOKEN_FILE_ETC)
+    return tok.strip() if tok else ""
+
+def telegram_send_markdown(message_md: str, chat_ids: Optional[List[str]] = None) -> bool:
+    """Invia messaggio Markdown a Telegram. Returns True se almeno un invio è riuscito."""
+    token = load_bot_token()
+    if not token:
+        logger.warning("Telegram token missing: message not sent.")
+        return False
+
+    if chat_ids is None:
+        return False  # Se non specificato, non inviare
+
+    url = f"https://api.telegram.org/bot{token}/sendMessage"
+    base_payload = {
+        "text": message_md,
+        "parse_mode": "Markdown",
+        "disable_web_page_preview": True,
+    }
+
+    sent_ok = False
+    with requests.Session() as s:
+        for chat_id in chat_ids:
+            payload = dict(base_payload)
+            payload["chat_id"] = chat_id
+            try:
+                resp = s.post(url, json=payload, timeout=15)
+                if resp.status_code == 200:
+                    sent_ok = True
+                else:
+                    logger.error("Telegram error chat_id=%s status=%s body=%s",
+                                 chat_id, resp.status_code, resp.text[:500])
+                time.sleep(0.25)
+            except Exception as e:
+                logger.exception("Telegram exception chat_id=%s err=%s", chat_id, e)
+
+    return sent_ok
 
 def now_local() -> datetime.datetime:
     return datetime.datetime.now(TZINFO)
@@ -44,15 +108,30 @@ def degrees_to_cardinal(d: int) -> str:
         return dirs[round(d / 45) % 8]
     except: return "N"
 
+# --- HELPER SICUREZZA DATI ---
+def get_val(val, default=0.0):
+    if val is None: return default
+    return float(val)
+
+def safe_get_list(hourly_data, key, length, default=None):
+    if key in hourly_data and hourly_data[key] is not None:
+        return hourly_data[key]
+    return [default] * length
+
 def get_icon_set(prec, snow, code, is_day, cloud, vis, temp, rain, gust, cape, cloud_type):
     sky = "☁️"
     try:
+        # LOGICA NEVE (v10.5 Fix):
+        # È neve se c'è accumulo OPPURE se il codice meteo dice neve (anche senza accumulo)
+        is_snowing = snow > 0 or (code in [71, 73, 75, 77, 85, 86])
+
         if cloud_type == 'F': 
             sky = "🌫️"
         elif code in (95, 96, 99): sky = "⛈️" if prec > 0 else "🌩️"
-        elif prec >= 0.1: sky = "🌨️" if snow > 0 else "🌧️"
+        elif prec >= 0.1: 
+            sky = "🌨️" if is_snowing else "🌧️"
         else:
-            # LOGICA PERCEZIONE UMANA
+            # LOGICA PERCEZIONE UMANA (Nubi Alte vs Basse)
             if cloud_type == 'H':
                 if cloud <= 40: sky = "☀️" if is_day else "🌙"
                 elif cloud <= 80: sky = "🌤️" if is_day else "🌙" 
@@ -65,7 +144,8 @@ def get_icon_set(prec, snow, code, is_day, cloud, vis, temp, rain, gust, cape, c
                 else: sky = "☁️"
         
         sgx = "-"
-        if snow > 0 or (code is not None and code in (71,73,75,77,85,86)): sgx = "☃️"
+        # Simbolo laterale (Priorità agli eventi pericolosi)
+        if is_snowing: sgx = "☃️"
         elif temp < 0 or (code is not None and code in (66,67)): sgx = "🧊"
         elif cape > 2000: sgx = "🌪️"
         elif cape > 1000: sgx = "⚡"
@@ -92,15 +172,36 @@ def get_coordinates(city_name: str):
         logger.error(f"Geocoding error: {e}")
     return None
 
-def choose_best_model(lat, lon, cc):
-    if cc == 'JP': return "jma_msm", "JMA MSM"
-    if cc in ['NO', 'SE', 'FI', 'DK', 'IS']: return "metno_nordic", "Yr.no"
-    if cc in ['GB', 'IE']: return "ukmo_global", "UK MetOffice"
-    if cc == 'IT' or cc == 'SM': return "meteofrance_arome_france_hd", "AROME HD"
-    if cc in ['DE', 'AT', 'CH', 'LI', 'FR']: return "icon_d2", "ICON-D2"
-    return "gfs_global", "NOAA GFS"
+def choose_best_model(lat, lon, cc, is_home=False):
+    """
+    Sceglie il modello meteo.
+    - Per Casa: usa AROME Seamless (ha snowfall)
+    - Per altre località: usa best match di Open-Meteo (senza specificare models)
+    """
+    if is_home:
+        # Per Casa, usa AROME Seamless (ha snowfall e dati dettagliati)
+        return "meteofrance_seamless", "AROME HD"
+    else:
+        # Per query worldwide, usa best match (Open-Meteo sceglie automaticamente)
+        return None, "Best Match"
 
-def get_forecast(lat, lon, model):
+def get_forecast(lat, lon, model=None, is_home=False, timezone=None, retry_after_60s=False):
+    """
+    Recupera forecast. Se model è None, usa best match di Open-Meteo.
+    Per Casa (is_home=True), usa AROME Seamless.
+    
+    Args:
+        retry_after_60s: Se True, attende 10 secondi prima di riprovare (per retry)
+    """
+    # Usa timezone personalizzata se fornita, altrimenti default
+    tz_to_use = timezone if timezone else TZ
+    
+    # Se è un retry, attendi 10 secondi (ridotto da 60s per evitare timeout esterni)
+    if retry_after_60s:
+        logger.info("Attendo 10 secondi prima del retry...")
+        time.sleep(10)
+    
+    # Generiamo 5 punti: Centro, N, S, E, W
     lats = [lat, lat + OFFSET_LAT, lat - OFFSET_LAT, lat, lat]
     lons = [lon, lon, lon, lon + OFFSET_LON, lon - OFFSET_LON]
     
@@ -108,38 +209,132 @@ def get_forecast(lat, lon, model):
     lon_str = ",".join(map(str, lons))
 
     params = {
-        "latitude": lat_str, "longitude": lon_str, "timezone": TZ, 
+        "latitude": lat_str, "longitude": lon_str, "timezone": tz_to_use, 
         "forecast_days": 3, 
-        "models": model, 
         "wind_speed_unit": "kmh", "precipitation_unit": "mm", 
         "hourly": "temperature_2m,apparent_temperature,relative_humidity_2m,cloud_cover,cloud_cover_low,cloud_cover_mid,cloud_cover_high,windspeed_10m,winddirection_10m,windgusts_10m,precipitation,rain,snowfall,weathercode,is_day,cape,visibility,uv_index"
     }
+    
+    # Aggiungi models solo se specificato (per Casa usa AROME, per altre località best match)
+    if model:
+        params["models"] = model
+    
+    # Nota: minutely_15 non è usato in meteo.py (solo per script di allerta)
     try:
         r = requests.get(OPEN_METEO_URL, params=params, headers=HTTP_HEADERS, timeout=25)
         if r.status_code != 200:
-            logger.error(f"API Error {r.status_code}: {r.text}")
-            return None
-        return r.json()
+            # Dettagli errore più specifici
+            error_details = f"Status {r.status_code}"
+            try:
+                error_json = r.json()
+                if "reason" in error_json:
+                    error_details += f": {error_json['reason']}"
+                elif "error" in error_json:
+                    error_details += f": {error_json['error']}"
+                else:
+                    error_details += f": {r.text[:200]}"
+            except:
+                error_details += f": {r.text[:200]}"
+            logger.error(f"API Error {error_details}")
+            return None, error_details  # Restituisce anche i dettagli dell'errore
+        response_data = r.json()
+        # Open-Meteo per multiple locations (lat/lon separati da virgola) restituisce
+        # direttamente un dict con "hourly", "daily", etc. che contiene liste di valori
+        # per ogni location. Per semplicità, restituiamo il dict così com'è
+        # e lo gestiamo nel codice chiamante
+        return response_data, None
+    except requests.exceptions.Timeout as e:
+        error_details = f"Timeout dopo 25s: {str(e)}"
+        logger.error(f"Request timeout: {error_details}")
+        return None, error_details
+    except requests.exceptions.ConnectionError as e:
+        error_details = f"Errore connessione: {str(e)}"
+        logger.error(f"Connection error: {error_details}")
+        return None, error_details
     except Exception as e:
-        logger.error(f"Request error: {e}")
-        return None
+        error_details = f"Errore richiesta: {type(e).__name__}: {str(e)}"
+        logger.error(f"Request error: {error_details}")
+        return None, error_details
 
-def safe_get_list(hourly_data, key, length, default=None):
-    if key in hourly_data and hourly_data[key] is not None:
-        return hourly_data[key]
-    return [default] * length
-
-def get_val(val, default=0.0):
-    if val is None: return default
-    return float(val)
-
-def generate_weather_report(lat, lon, location_name, debug_mode=False, cc="IT") -> str:
-    model_id, model_name = choose_best_model(lat, lon, cc)
+def get_visibility_forecast(lat, lon):
+    """
+    Recupera visibilità per località dove il modello principale non la fornisce.
+    Prova prima ECMWF IFS, poi fallback a best match (GFS o ICON-D2).
+    """
+    # Prova prima con ECMWF IFS
+    params_ecmwf = {
+        "latitude": lat,
+        "longitude": lon,
+        "timezone": TZ,
+        "forecast_days": 3,
+        "models": "ecmwf_ifs04",
+        "hourly": "visibility"
+    }
+    try:
+        r = requests.get(OPEN_METEO_URL, params=params_ecmwf, headers=HTTP_HEADERS, timeout=15)
+        if r.status_code == 200:
+            data = r.json()
+            hourly = data.get("hourly", {})
+            vis = hourly.get("visibility", [])
+            # Verifica se ci sono valori validi (non tutti None)
+            if vis and any(v is not None for v in vis):
+                return vis
+    except Exception as e:
+        logger.debug(f"ECMWF IFS visibility request error: {e}")
+    
+    # Fallback: usa best match (senza models) che seleziona automaticamente GFS o ICON-D2
+    params_best = {
+        "latitude": lat,
+        "longitude": lon,
+        "timezone": TZ,
+        "forecast_days": 3,
+        "hourly": "visibility"
+    }
+    try:
+        r = requests.get(OPEN_METEO_URL, params=params_best, headers=HTTP_HEADERS, timeout=15)
+        if r.status_code == 200:
+            data = r.json()
+            hourly = data.get("hourly", {})
+            return hourly.get("visibility", [])
+    except Exception as e:
+        logger.error(f"Visibility request error: {e}")
+    return None
+
+def generate_weather_report(lat, lon, location_name, debug_mode=False, cc="IT", timezone=None) -> str:
+    # Determina se è Casa
+    is_home = (abs(lat - HOME_LAT) < 0.01 and abs(lon - HOME_LON) < 0.01)
+    
+    # Usa timezone personalizzata se fornita, altrimenti default
+    tz_to_use = timezone if timezone else TZ
+    
+    model_id, model_name = choose_best_model(lat, lon, cc, is_home=is_home)
+    
+    # Tentativo 1: Richiesta iniziale
+    data_list, error_details = get_forecast(lat, lon, model_id, is_home=is_home, timezone=tz_to_use, retry_after_60s=False)
+    
+    # Se fallisce e siamo a Casa con AROME, prova retry dopo 10 secondi
+    if not data_list and is_home and model_id == "meteofrance_seamless":
+        logger.warning(f"Primo tentativo AROME fallito: {error_details}. Retry dopo 10 secondi...")
+        data_list, error_details = get_forecast(lat, lon, model_id, is_home=is_home, timezone=tz_to_use, retry_after_60s=True)
+    
+    # Se ancora fallisce e siamo a Casa, fallback a best match
+    if not data_list and is_home:
+        logger.warning(f"AROME fallito anche dopo retry: {error_details}. Fallback a best match...")
+        data_list, error_details = get_forecast(lat, lon, None, is_home=False, timezone=tz_to_use, retry_after_60s=False)
+        if data_list:
+            model_name = "Best Match (fallback)"
+            logger.info("Fallback a best match riuscito")
+    
+    # Se ancora fallisce, restituisci errore dettagliato
+    if not data_list:
+        error_msg = f"❌ Errore API Meteo ({model_name})"
+        if error_details:
+            error_msg += f"\n\nDettagli: {error_details}"
+        return error_msg
     
-    data_list = get_forecast(lat, lon, model_id)
-    if not data_list: return f"❌ Errore API Meteo ({model_name})."
     if not isinstance(data_list, list): data_list = [data_list]
 
+    # Punto centrale (Casa) per dati specifici
     data_center = data_list[0]
     hourly_c = data_center.get("hourly", {})
     times = hourly_c.get("time", [])
@@ -163,16 +358,24 @@ def generate_weather_report(lat, lon, location_name, debug_mode=False, cc="IT")
     l_vis  = safe_get_list(hourly_c, "visibility", L, 10000)
     l_uv   = safe_get_list(hourly_c, "uv_index", L, 0)
     
-    # Estraggo anche i dati nuvole LOCALI per il tipo
+    # Se è Casa e AROME non fornisce visibilità (tutti None), recuperala da best match
+    if is_home and model_id == "meteofrance_seamless":
+        vis_check = [v for v in l_vis if v is not None]
+        if not vis_check:  # Tutti None, recupera da best match
+            vis_data = get_visibility_forecast(lat, lon)
+            if vis_data and len(vis_data) >= L:
+                l_vis = vis_data[:L]
+    
+    # Dati nuvole LOCALI per decidere il TIPO (L, M, H, F)
+    l_cl_tot_loc = safe_get_list(hourly_c, "cloud_cover", L, 0)  # Copertura totale locale
     l_cl_low_loc = safe_get_list(hourly_c, "cloud_cover_low", L, 0)
     l_cl_mid_loc = safe_get_list(hourly_c, "cloud_cover_mid", L, 0)
     l_cl_hig_loc = safe_get_list(hourly_c, "cloud_cover_high", L, 0)
 
-    # --- DATI GLOBALI (MEDIA) ---
+    # --- DATI GLOBALI (MEDIA 5 PUNTI) ---
     acc_cl_tot = [0.0] * L
     points_cl_tot = [ [] for _ in range(L) ]
-    p_names = ["Casa", "Nord", "Sud", "Est", "Ovest"]
-
+    
     for d in data_list:
         h = d.get("hourly", {})
         for i in range(L):
@@ -181,6 +384,7 @@ def generate_weather_report(lat, lon, location_name, debug_mode=False, cc="IT")
             cm = get_val(safe_get_list(h, "cloud_cover_mid", L)[i])
             ch = get_val(safe_get_list(h, "cloud_cover_high", L)[i])
             
+            # Calcolo robusto del totale per singolo punto
             real_point_total = max(cc, cl, cm, ch)
             
             acc_cl_tot[i] += real_point_total
@@ -189,8 +393,9 @@ def generate_weather_report(lat, lon, location_name, debug_mode=False, cc="IT")
     num_points = len(data_list)
     avg_cl_tot = [x / num_points for x in acc_cl_tot]
 
+    # --- DEBUG MODE ---
     if debug_mode:
-        output = f"🔍 **DEBUG 5 PUNTI (V10.4)**\n"
+        output = f"🔍 **DEBUG METEO (v10.5)**\n"
         now_h = now_local().replace(minute=0, second=0, microsecond=0)
         idx = 0
         for i, t_str in enumerate(times):
@@ -201,134 +406,195 @@ def generate_weather_report(lat, lon, location_name, debug_mode=False, cc="IT")
         # Valori Locali
         loc_L = get_val(l_cl_low_loc[idx])
         loc_H = get_val(l_cl_hig_loc[idx])
+        code_now = int(get_val(l_code[idx]))
         
         output += f"Ora: {parse_time(times[idx]).strftime('%H:%M')}\n"
-        output += f"📍 **LOCALE (Casa)**: L:{int(loc_L)}% | M:{int(get_val(l_cl_mid_loc[idx]))}% | H:{int(loc_H)}%\n"
+        output += f"📍 **LOCALE (Casa)**: L:{int(loc_L)}% | H:{int(loc_H)}%\n"
         output += f"🌍 **MEDIA GLOBALE**: {int(avg_cl_tot[idx])}%\n"
+        output += f"❄️ **NEVE**: Codice={code_now}, Accumulo={get_val(l_snow[idx])}cm\n"
         
         decision = "H"
         if loc_L > 40: decision = "L (Priorità Locale)"
-        output += f"👉 **Decisione**: {decision}\n"
+        output += f"👉 **Decisione Nuvole**: {decision}\n"
         return output
 
-    now = now_local().replace(minute=0, second=0, microsecond=0)
-    blocks = []
-    header = f"{'LT':<2} {'T°':>4} {'h%':>3} {'mm':>3} {'Vento':<5} {'Nv%':>5} {'Sk':<2} {'Sx':<2}"
-    separator = "-" * 31 
+    # --- GENERAZIONE TABELLA ---
+    # Usa timezone personalizzata se fornita
+    tz_to_use_info = ZoneInfo(tz_to_use) if tz_to_use else TZINFO
+    now_local_tz = datetime.datetime.now(tz_to_use_info)
     
-    for (label, hours_duration, step) in [("Prime 24h", 24, 1), ("Successive 24h", 24, 2)]:
-        end_time = now + datetime.timedelta(hours=hours_duration)
-        lines = [header, separator]
-        count = 0
+    # Inizia dall'ora corrente (arrotondata all'ora)
+    current_hour = now_local_tz.replace(minute=0, second=0, microsecond=0)
+    
+    # Fine finestra: 48 ore dopo current_hour
+    end_hour = current_hour + datetime.timedelta(hours=48)
+    
+    # Raccogli tutti i timestamp validi nelle 48 ore successive
+    valid_indices = []
+    for i, t_str in enumerate(times):
+        try:
+            dt = parse_time(t_str)
+            if dt.tzinfo is None:
+                dt = dt.replace(tzinfo=tz_to_use_info)
+            else:
+                dt = dt.astimezone(tz_to_use_info)
+            
+            # Include solo timestamp >= current_hour e < end_hour
+            if current_hour <= dt < end_hour:
+                valid_indices.append((i, dt))
+        except Exception as e:
+            logger.error(f"Errore parsing timestamp {i}: {e}")
+            continue
+    
+    if not valid_indices:
+        return f"❌ Nessun dato disponibile per le prossime 48 ore (da {current_hour.strftime('%H:%M')})."
+    
+    # Separa in blocchi per giorno: cambia intestazione quando passa da 23 a 00
+    blocks = []
+    header = f"{'LT':<2} {'T°':>4} {'h%':>3} {'mm':<3} {'Vento':<5} {'Nv%':>5} {'Sk':<2} {'Sx':<2}"
+    separator = "-" * 31
+    
+    current_day = None
+    current_block_lines = []
+    hours_from_start = 0  # Contatore ore dall'inizio (0-47)
+    
+    for idx, dt in valid_indices:
+        # Determina se questo timestamp appartiene a un nuovo giorno
+        # (passaggio da 23 a 00)
+        day_date = dt.date()
+        is_new_day = (current_day is not None and day_date != current_day)
         
-        for i, t_str in enumerate(times):
-            try:
-                dt = parse_time(t_str)
-                if dt < now or dt >= end_time: continue
-                if dt.hour % step != 0: continue
-                
-                T = get_val(l_temp[i], 0)
-                App = get_val(l_app[i], 0)
-                Rh = int(get_val(l_rh[i], 50))
-                
-                t_suffix = ""
-                diff = App - T
-                if diff <= -2.5: t_suffix = "W"
-                elif diff >= 2.5: t_suffix = "H"
-                t_s = f"{int(round(T))}{t_suffix}"
+        # Determina se mostrare questo timestamp in base alla posizione nelle 48h
+        # Prime 24h: ogni ora (step=1)
+        # Dalla 25a alla 48a: ogni 2 ore (step=2)
+        if hours_from_start < 24:
+            step = 1  # Prime 24h: dettaglio 1 ora
+        else:
+            step = 2  # Dalla 25a alla 48a: dettaglio 2 ore
+        
+        # Controlla se questo timestamp deve essere mostrato
+        should_show = (hours_from_start % step == 0)
+        
+        # Se è un nuovo giorno, chiudi il blocco precedente
+        if is_new_day and current_block_lines:
+            # Chiudi blocco precedente (solo se ha contenuto oltre header e separator)
+            if len(current_block_lines) > 2:
+                day_label = f"{['Lun','Mar','Mer','Gio','Ven','Sab','Dom'][current_day.weekday()]} {current_day.day}"
+                blocks.append(f"*{day_label}*\n```text\n" + "\n".join(current_block_lines) + "\n```")
+            current_block_lines = []
+        
+        # Aggiorna current_day se è cambiato
+        if current_day is None or is_new_day:
+            current_day = day_date
+        
+        # Mostra questo timestamp solo se deve essere incluso
+        if should_show:
+            # Se è il primo elemento di questo blocco (o primo elemento dopo cambio giorno), aggiungi header
+            if not current_block_lines:
+                # Assicurati che current_day corrisponda al giorno della prima riga mostrata
+                current_day = day_date
+                current_block_lines.append(header)
+                current_block_lines.append(separator)
+            # --- DATI BASE ---
+            T = get_val(l_temp[idx], 0)
+            App = get_val(l_app[idx], 0)
+            Rh = int(get_val(l_rh[idx], 50))
+            
+            t_suffix = ""
+            diff = App - T
+            if diff <= -2.5: t_suffix = "W"
+            elif diff >= 2.5: t_suffix = "H"
+            t_s = f"{int(round(T))}{t_suffix}"
 
-                Pr = get_val(l_prec[i], 0)
-                Sn = get_val(l_snow[i], 0)
-                Code = int(l_code[i]) if l_code[i] is not None else 0
-                
-                p_suffix = ""
-                if Code in [96, 99]: p_suffix = "G"
-                elif Code in [66, 67]: p_suffix = "Z"
-                elif Sn > 0 or Code in [71, 73, 75, 77, 85, 86]: p_suffix = "N"
-                p_s = "--" if Pr < 0.2 else f"{int(round(Pr))}{p_suffix}"
+            Pr = get_val(l_prec[idx], 0)
+            Sn = get_val(l_snow[idx], 0)
+            Code = int(get_val(l_code[idx], 0))
+            Rain = get_val(l_rain[idx], 0)
+            
+            # Determina se è neve
+            is_snowing = Sn > 0 or (Code in [71, 73, 75, 77, 85, 86])
+            
+            # Formattazione MM
+            p_suffix = ""
+            if Code in [96, 99]: p_suffix = "G"
+            elif Code in [66, 67]: p_suffix = "Z"
+            elif is_snowing and Pr >= 0.2: p_suffix = "N"
+            
+            p_s = "--" if Pr < 0.2 else f"{int(round(Pr))}{p_suffix}"
 
-                # --- CLOUD LOGIC (V10.4: LOCAL PRIORITY) ---
-                
-                # Usiamo la MEDIA per la quantità (Panoramica)
-                c_avg_tot = int(avg_cl_tot[i])
-                
-                # Usiamo i dati LOCALI per il tipo (Cosa ho sulla testa)
-                loc_L = get_val(l_cl_low_loc[i])
-                loc_M = get_val(l_cl_mid_loc[i])
-                loc_H = get_val(l_cl_hig_loc[i])
-                Vis = get_val(l_vis[i], 10000)
+            # --- CLOUD LOGIC ---
+            Cl = int(get_val(l_cl_tot_loc[idx], 0))
+            Vis = get_val(l_vis[idx], 10000)
+            
+            # Calcola tipo nuvole per get_icon_set (L/M/H/F)
+            loc_L = get_val(l_cl_low_loc[idx])
+            loc_M = get_val(l_cl_mid_loc[idx])
+            loc_H = get_val(l_cl_hig_loc[idx])
+            types = {'L': loc_L, 'M': loc_M, 'H': loc_H}
+            dominant_type = max(types, key=types.get)
+            
+            # Override: Se nubi basse locali > 40%, vincono loro
+            if loc_L > 40:
+                dominant_type = 'L'
 
-                # Step 1: Default matematico LOCALE
-                types = {'L': loc_L, 'M': loc_M, 'H': loc_H}
-                dominant_type = max(types, key=types.get)
-                
-                # Quantità da mostrare: Media Globale
-                Cl = c_avg_tot
-                
-                # Step 2: Override Tattico LOCALE
-                # Se LOCALMENTE le basse sono > 40%, vincono loro.
-                # (Soglia abbassata a 40 per catturare il 51%)
-                if loc_L > 40:
-                    dominant_type = 'L'
-                    # Se localmente è nuvoloso basso, forziamo la copertura visiva alta
-                    # anche se la media globale è più bassa
-                    if Cl < loc_L: Cl = int(loc_L)
+            # Nebbia
+            is_fog = False
+            if Vis < 1500:
+                is_fog = True
+            elif Code in [45, 48]:
+                is_fog = True
+            
+            if is_fog:
+                dominant_type = 'F'
+            
+            # Formattazione Nv%
+            if is_fog:
+                cl_str = "FOG"
+            else:
+                cl_str = f"{Cl}"
 
-                # Step 3: Nebbia (F)
-                is_fog = False
-                if Vis < 2000 or Code in [45, 48]:
-                    is_fog = True
-                elif Rh >= 96 and loc_L > 40:
-                    is_fog = True
-                
-                if is_fog:
-                    dominant_type = 'F'
-                    if Cl < 100: Cl = 100
+            UV = get_val(l_uv[idx], 0)
+            uv_suffix = ""
+            if UV >= 10: uv_suffix = "E"
+            elif UV >= 7: uv_suffix = "H"
 
-                # Check varianza spaziale
-                min_p = min(points_cl_tot[i])
-                max_p = max(points_cl_tot[i])
-                var_symbol = ""
-                if (max_p - min_p) > 20: 
-                    var_symbol = "~"
+            # --- VENTO ---
+            Wspd = get_val(l_wspd[idx], 0)
+            Gust = get_val(l_gust[idx], 0)
+            Wdir = int(get_val(l_wdir[idx], 0))
+            Cape = get_val(l_cape[idx], 0)
+            IsDay = int(get_val(l_day[idx], 1))
+            
+            card = degrees_to_cardinal(Wdir)
+            w_val = Gust if (Gust - Wspd) > 15 else Wspd
+            w_txt = f"{card} {int(round(w_val))}"
+            if (Gust - Wspd) > 15:
+                g_txt = f"G{int(round(w_val))}"
+                if len(card)+len(g_txt) <= 5: w_txt = f"{card}{g_txt}"
+                elif len(card)+1+len(g_txt) <= 5: w_txt = f"{card} {g_txt}"
+                else: w_txt = g_txt
+            w_fmt = f"{w_txt:<5}"
+            
+            # --- ICONE ---
+            sky, sgx = get_icon_set(Pr, Sn, Code, IsDay, Cl, Vis, T, Rain, Gust, Cape, dominant_type)
+            
+            # Se c'è precipitazione nevosa, mostra ❄️ nella colonna Sk (invece di 🌨️)
+            if is_snowing and Pr >= 0.2:
+                sky = "❄️"
+            
+            sky_fmt = f"{sky}{uv_suffix}"
 
-                cl_str = f"{var_symbol}{Cl}{dominant_type}"
-
-                UV = get_val(l_uv[i], 0)
-                uv_suffix = ""
-                if UV >= 10: uv_suffix = "E"
-                elif UV >= 7: uv_suffix = "H"
-
-                Wspd = get_val(l_wspd[i], 0)
-                Gust = get_val(l_gust[i], 0)
-                Wdir = int(get_val(l_wdir[i], 0))
-                Cape = get_val(l_cape[i], 0)
-                IsDay = int(l_day[i]) if l_day[i] is not None else 1
-                
-                card = degrees_to_cardinal(Wdir)
-                w_val = Gust if (Gust - Wspd) > 15 else Wspd
-                w_txt = f"{card} {int(round(w_val))}"
-                if (Gust - Wspd) > 15:
-                    g_txt = f"G{int(round(w_val))}"
-                    if len(card)+len(g_txt) <= 5: w_txt = f"{card}{g_txt}"
-                    elif len(card)+1+len(g_txt) <= 5: w_txt = f"{card} {g_txt}"
-                    else: w_txt = g_txt
-                w_fmt = f"{w_txt:<5}"
-                
-                sky, sgx = get_icon_set(Pr, Sn, Code, IsDay, Cl, Vis, T, get_val(l_rain[i], 0), Gust, Cape, dominant_type)
-                sky_fmt = f"{sky}{uv_suffix}"
-
-                lines.append(f"{dt.strftime('%H'):<2} {t_s:>4} {Rh:>3} {p_s:>3} {w_fmt} {cl_str:>5} {sky_fmt:<2} {sgx:<2}")
-                count += 1
-                
-            except Exception as e:
-                logger.error(f"Errore riga meteo {i}: {e}")
-                continue
-
-        if count > 0:
-            day_label = f"{['Lun','Mar','Mer','Gio','Ven','Sab','Dom'][now.weekday()]} {now.day}"
-            blocks.append(f"*{day_label} ({label})*\n```text\n" + "\n".join(lines) + "\n```")
-        now = end_time
+            current_block_lines.append(f"{dt.strftime('%H'):<2} {t_s:>4} {Rh:>3} {p_s:>3} {w_fmt} {cl_str:>5} {sky_fmt:<2} {sgx:<2}")
+        
+        hours_from_start += 1
+    
+    # Chiudi ultimo blocco (solo se ha contenuto oltre header e separator)
+    if current_block_lines and len(current_block_lines) > 2:  # Header + separator + almeno 1 riga dati
+        day_label = f"{['Lun','Mar','Mer','Gio','Ven','Sab','Dom'][current_day.weekday()]} {current_day.day}"
+        blocks.append(f"*{day_label}*\n```text\n" + "\n".join(current_block_lines) + "\n```")
+    
+    if not blocks:
+        return f"❌ Nessun dato da mostrare nelle prossime 48 ore (da {current_hour.strftime('%H:%M')})."
     
     return f"🌤️ *METEO REPORT*\n📍 {location_name}\n🧠 Fonte: {model_name}\n\n" + "\n\n".join(blocks)
 
@@ -337,16 +603,41 @@ if __name__ == "__main__":
     args_parser.add_argument("--query", help="Nome città")
     args_parser.add_argument("--home", action="store_true", help="Usa coordinate casa")
     args_parser.add_argument("--debug", action="store_true", help="Mostra i valori dei 5 punti")
+    args_parser.add_argument("--chat_id", help="Chat ID Telegram per invio diretto (opzionale, può essere multiplo separato da virgola)")
+    args_parser.add_argument("--timezone", help="Timezone IANA (es: Europe/Rome, America/New_York)")
     args = args_parser.parse_args()
 
+    # Determina chat_ids se specificato
+    chat_ids = None
+    if args.chat_id:
+        chat_ids = [cid.strip() for cid in args.chat_id.split(",") if cid.strip()]
+
+    # Genera report
+    report = None
     if args.home:
-        print(generate_weather_report(HOME_LAT, HOME_LON, HOME_NAME, args.debug, "SM"))
+        report = generate_weather_report(HOME_LAT, HOME_LON, HOME_NAME, args.debug, "SM")
     elif args.query:
         coords = get_coordinates(args.query)
         if coords:
             lat, lon, name, cc = coords
-            print(generate_weather_report(lat, lon, name, args.debug, cc))
+            report = generate_weather_report(lat, lon, name, args.debug, cc)
         else:
-            print(f"❌ Città '{args.query}' non trovata.")
+            error_msg = f"❌ Città '{args.query}' non trovata."
+            if chat_ids:
+                telegram_send_markdown(error_msg, chat_ids)
+            else:
+                print(error_msg)
+            sys.exit(1)
     else:
-        print("Uso: meteo.py --query 'Nome Città' oppure --home [--debug]")
+        usage_msg = "Uso: meteo.py --query 'Nome Città' oppure --home [--debug] [--chat_id ID]"
+        if chat_ids:
+            telegram_send_markdown(usage_msg, chat_ids)
+        else:
+            print(usage_msg)
+        sys.exit(1)
+
+    # Invia o stampa
+    if chat_ids:
+        telegram_send_markdown(report, chat_ids)
+    else:
+        print(report)

services/telegram-bot/net_quality.py

@@ -1,3 +1,4 @@
+import argparse
 import subprocess
 import re
 import os
@@ -5,10 +6,11 @@ import json
 import time
 import urllib.request
 import urllib.parse
+from typing import List, Optional
 
 # --- CONFIGURAZIONE ---
 BOT_TOKEN="8155587974:AAF9OekvBpixtk8ZH6KoIc0L8edbhdXt7A4"
-CHAT_ID="64463169"
+TELEGRAM_CHAT_IDS = ["64463169", "24827341", "132455422", "5405962012"]
 
 # BERSAGLIO (Cloudflare è solitamente il più stabile per i ping)
 TARGET_HOST = "1.1.1.1"
@@ -20,10 +22,17 @@ LIMIT_JITTER = 30.0 # ms di deviazione (sopra 30ms lagga la voce/gioco)
 # File di stato
 STATE_FILE = "/home/daniely/docker/telegram-bot/quality_state.json"
 
-def send_telegram(msg):
-    if "INSERISCI" in TELEGRAM_BOT_TOKEN: return
-    url = f"https://api.telegram.org/bot{TELEGRAM_BOT_TOKEN}/sendMessage"
-    for chat_id in TELEGRAM_CHAT_IDS:
+def send_telegram(msg, chat_ids: Optional[List[str]] = None):
+    """
+    Args:
+        msg: Messaggio da inviare
+        chat_ids: Lista di chat IDs (default: TELEGRAM_CHAT_IDS)
+    """
+    if not BOT_TOKEN or "INSERISCI" in BOT_TOKEN: return
+    if chat_ids is None:
+        chat_ids = TELEGRAM_CHAT_IDS
+    url = f"https://api.telegram.org/bot{BOT_TOKEN}/sendMessage"
+    for chat_id in chat_ids:
         try:
             payload = {"chat_id": chat_id, "text": msg, "parse_mode": "Markdown"}
             data = urllib.parse.urlencode(payload).encode('utf-8')
@@ -44,7 +53,7 @@ def save_state(active):
         with open(STATE_FILE, 'w') as f: json.dump({"alert_active": active}, f)
     except: pass
 
-def measure_quality():
+def measure_quality(chat_ids: Optional[List[str]] = None):
     print("--- Avvio Test Qualità Linea ---")
     
     # Esegue 50 ping rapidi (0.2s intervallo)
@@ -98,7 +107,7 @@ def measure_quality():
                 msg += f"⚠️ **Jitter (Instabilità):** `{jitter}ms` (Soglia {LIMIT_JITTER}ms)\n"
             
             msg += f"\n_Ping Medio: {avg_ping}ms_"
-            send_telegram(msg)
+            send_telegram(msg, chat_ids=chat_ids)
             save_state(True)
             print("Allarme inviato.")
         else:
@@ -109,11 +118,18 @@ def measure_quality():
         msg = f"✅ **QUALITÀ LINEA RIPRISTINATA**\n\n"
         msg += f"I parametri sono rientrati nella norma.\n"
         msg += f"Ping: `{avg_ping}ms` | Jitter: `{jitter}ms` | Loss: `{loss}%`"
-        send_telegram(msg)
+        send_telegram(msg, chat_ids=chat_ids)
         save_state(False)
         print("Recovery inviata.")
     else:
         print("Linea OK.")
 
 if __name__ == "__main__":
-    measure_quality()
+    parser = argparse.ArgumentParser(description="Network quality monitor")
+    parser.add_argument("--debug", action="store_true", help="Invia messaggi solo all'admin (chat ID: %s)" % TELEGRAM_CHAT_IDS[0])
+    args = parser.parse_args()
+    
+    # In modalità debug, invia solo al primo chat ID (admin)
+    chat_ids = [TELEGRAM_CHAT_IDS[0]] if args.debug else None
+    
+    measure_quality(chat_ids=chat_ids)

services/telegram-bot/nowcast_120m_alert.py

@@ -1,6 +1,7 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 
+import argparse
 import datetime
 import json
 import logging
@@ -22,7 +23,7 @@ BASE_DIR = os.path.dirname(os.path.abspath(__file__))
 LOG_FILE = os.path.join(BASE_DIR, "nowcast_120m_alert.log")
 STATE_FILE = os.path.join(BASE_DIR, "nowcast_120m_state.json")
 
-TZ = "Europe/Rome"
+TZ = "Europe/Berlin"
 TZINFO = ZoneInfo(TZ)
 
 # Casa (San Marino)
@@ -37,7 +38,9 @@ TOKEN_FILE_HOME = os.path.expanduser("~/.telegram_dpc_bot_token")
 
 # Open-Meteo
 OPEN_METEO_URL = "https://api.open-meteo.com/v1/forecast"
-MODEL = "meteofrance_arome_france_hd"
+MODEL_AROME = "meteofrance_seamless"
+MODEL_ICON_IT = "italia_meteo_arpae_icon_2i"
+COMPARISON_THRESHOLD = 0.30  # 30% scostamento per comparazione
 
 # Finestra di valutazione
 WINDOW_MINUTES = 120
@@ -51,8 +54,14 @@ RAIN_CONFIRM_HOURS = 2  # "confermato": almeno 2 ore consecutive
 WIND_GUST_STRONG_KMH = 62.0
 WIND_CONFIRM_HOURS = 2  # almeno 2 ore consecutive
 
-# Neve: accumulo nelle prossime 2 ore >= 2 cm
+# Neve: accumulo nelle prossime 2 ore >= 2 cm (eventi significativi)
 SNOW_ACCUM_2H_CM = 2.0
+# Soglia più bassa per rilevare l'inizio della neve (anche leggera)
+SNOW_ACCUM_2H_LIGHT_CM = 0.3  # 0.3 cm in 2 ore per rilevare inizio neve
+# Soglia per neve persistente: accumulo totale su 6 ore (anche se distribuito)
+SNOW_ACCUM_6H_PERSISTENT_CM = 0.15  # 0.15 cm in 6 ore per neve persistente
+# Codici meteo che indicano neve (WMO)
+SNOW_WEATHER_CODES = [71, 73, 75, 77, 85, 86]  # Neve leggera, moderata, forte, granelli, rovesci
 
 # Anti-spam: minimo intervallo tra invii uguali (in minuti)
 MIN_RESEND_MINUTES = 180
@@ -107,9 +116,13 @@ def load_bot_token() -> str:
     return tok.strip() if tok else ""
 
 
-def telegram_send_markdown(message: str) -> bool:
+def telegram_send_markdown(message: str, chat_ids: Optional[List[str]] = None) -> bool:
     """
     Invia SOLO se message presente. Errori solo su log.
+    
+    Args:
+        message: Messaggio Markdown da inviare
+        chat_ids: Lista di chat IDs (default: TELEGRAM_CHAT_IDS)
     """
     if not message:
         return False
@@ -119,6 +132,9 @@ def telegram_send_markdown(message: str) -> bool:
         LOGGER.error("Token Telegram mancante. Messaggio NON inviato.")
         return False
 
+    if chat_ids is None:
+        chat_ids = TELEGRAM_CHAT_IDS
+
     url = f"https://api.telegram.org/bot{token}/sendMessage"
     payload_base = {
         "text": message,
@@ -128,7 +144,7 @@ def telegram_send_markdown(message: str) -> bool:
 
     ok_any = False
     with requests.Session() as s:
-        for chat_id in TELEGRAM_CHAT_IDS:
+        for chat_id in chat_ids:
             payload = dict(payload_base)
             payload["chat_id"] = chat_id
             try:
@@ -151,13 +167,23 @@ def parse_time_local(t: str) -> datetime.datetime:
     return dt.astimezone(TZINFO)
 
 
-def get_forecast() -> Optional[Dict]:
+def get_forecast(model: str, use_minutely: bool = True, forecast_days: int = 2) -> Optional[Dict]:
+    """
+    Recupera forecast. Se use_minutely=True e model è AROME, include anche minutely_15
+    per dettaglio 15 minuti nelle prossime 48 ore.
+    Se minutely_15 fallisce o ha troppi buchi, riprova automaticamente senza minutely_15.
+    
+    Args:
+        model: Modello meteo da usare
+        use_minutely: Se True, include dati minutely_15 per AROME
+        forecast_days: Numero di giorni di previsione (default: 2 per 48h)
+    """
     params = {
         "latitude": LAT,
         "longitude": LON,
         "timezone": TZ,
-        "forecast_days": 2,
-        "models": MODEL,
+        "forecast_days": forecast_days,
+        "models": model,
         "wind_speed_unit": "kmh",
         "precipitation_unit": "mm",
         "hourly": ",".join([
@@ -165,21 +191,306 @@ def get_forecast() -> Optional[Dict]:
             "windspeed_10m",
             "windgusts_10m",
             "snowfall",
+            "weathercode",  # Aggiunto per rilevare neve anche quando snowfall è basso
         ]),
     }
+    
+    # Aggiungi minutely_15 per AROME Seamless (dettaglio 15 minuti)
+    # Se fallisce, riprova senza minutely_15
+    if use_minutely and model == MODEL_AROME:
+        params["minutely_15"] = "snowfall,precipitation_probability,precipitation,rain,temperature_2m,wind_speed_10m,wind_direction_10m"
+    
     try:
         r = requests.get(OPEN_METEO_URL, params=params, timeout=25)
         if r.status_code == 400:
+            # Se 400 e abbiamo minutely_15, riprova senza
+            if "minutely_15" in params and model == MODEL_AROME:
+                LOGGER.warning("Open-Meteo 400 con minutely_15 (model=%s), riprovo senza minutely_15", model)
+                params_no_minutely = params.copy()
+                del params_no_minutely["minutely_15"]
+                try:
+                    r2 = requests.get(OPEN_METEO_URL, params=params_no_minutely, timeout=25)
+                    if r2.status_code == 200:
+                        return r2.json()
+                except Exception:
+                    pass
             try:
                 j = r.json()
-                LOGGER.error("Open-Meteo 400: %s", j.get("reason", j))
+                LOGGER.error("Open-Meteo 400 (model=%s): %s", model, j.get("reason", j))
             except Exception:
-                LOGGER.error("Open-Meteo 400: %s", r.text[:300])
+                LOGGER.error("Open-Meteo 400 (model=%s): %s", model, r.text[:300])
+            return None
+        elif r.status_code == 504:
+            # Gateway Timeout: se abbiamo minutely_15, riprova senza
+            if "minutely_15" in params and model == MODEL_AROME:
+                LOGGER.warning("Open-Meteo 504 Gateway Timeout con minutely_15 (model=%s), riprovo senza minutely_15", model)
+                params_no_minutely = params.copy()
+                del params_no_minutely["minutely_15"]
+                try:
+                    r2 = requests.get(OPEN_METEO_URL, params=params_no_minutely, timeout=25)
+                    if r2.status_code == 200:
+                        return r2.json()
+                except Exception:
+                    pass
+            LOGGER.error("Open-Meteo 504 Gateway Timeout (model=%s)", model)
             return None
         r.raise_for_status()
-        return r.json()
+        data = r.json()
+        
+        # Verifica se minutely_15 ha buchi (anche solo 1 None = fallback a hourly)
+        if "minutely_15" in params and model == MODEL_AROME:
+            minutely = data.get("minutely_15", {}) or {}
+            minutely_times = minutely.get("time", []) or []
+            minutely_precip = minutely.get("precipitation", []) or []
+            minutely_snow = minutely.get("snowfall", []) or []
+            
+            # Controlla se ci sono buchi (anche solo 1 None)
+            if minutely_times:
+                # Controlla tutti i parametri principali per buchi
+                has_holes = False
+                # Controlla precipitation
+                if minutely_precip and any(v is None for v in minutely_precip):
+                    has_holes = True
+                # Controlla snowfall
+                if minutely_snow and any(v is None for v in minutely_snow):
+                    has_holes = True
+                
+                if has_holes:
+                    LOGGER.warning("minutely_15 ha buchi (valori None rilevati, model=%s), riprovo senza minutely_15", model)
+                    params_no_minutely = params.copy()
+                    del params_no_minutely["minutely_15"]
+                    try:
+                        r2 = requests.get(OPEN_METEO_URL, params=params_no_minutely, timeout=25)
+                        if r2.status_code == 200:
+                            return r2.json()
+                    except Exception:
+                        pass
+        
+        return data
+    except requests.exceptions.Timeout:
+        # Timeout: se abbiamo minutely_15, riprova senza
+        if "minutely_15" in params and model == MODEL_AROME:
+            LOGGER.warning("Open-Meteo Timeout con minutely_15 (model=%s), riprovo senza minutely_15", model)
+            params_no_minutely = params.copy()
+            del params_no_minutely["minutely_15"]
+            try:
+                r2 = requests.get(OPEN_METEO_URL, params=params_no_minutely, timeout=25)
+                if r2.status_code == 200:
+                    return r2.json()
+            except Exception:
+                pass
+        LOGGER.exception("Open-Meteo timeout (model=%s)", model)
+        return None
     except Exception as e:
-        LOGGER.exception("Errore chiamata Open-Meteo: %s", e)
+        # Altri errori: se abbiamo minutely_15, riprova senza
+        if "minutely_15" in params and model == MODEL_AROME:
+            LOGGER.warning("Open-Meteo error con minutely_15 (model=%s): %s, riprovo senza minutely_15", model, str(e))
+            params_no_minutely = params.copy()
+            del params_no_minutely["minutely_15"]
+            try:
+                r2 = requests.get(OPEN_METEO_URL, params=params_no_minutely, timeout=25)
+                if r2.status_code == 200:
+                    return r2.json()
+            except Exception:
+                pass
+        LOGGER.exception("Errore chiamata Open-Meteo (model=%s): %s", model, e)
+        return None
+
+
+def find_precise_start_minutely(
+    minutely_data: Dict,
+    param_name: str,
+    threshold: float,
+    window_start: datetime.datetime,
+    window_end: datetime.datetime,
+    confirm_intervals: int = 2  # 2 intervalli da 15 min = 30 min conferma
+) -> Optional[Dict]:
+    """
+    Trova inizio preciso usando dati minutely_15 (risoluzione 15 minuti)
+    
+    Returns:
+        {
+            "start": datetime,
+            "start_precise": str (HH:MM),
+            "value_at_start": float,
+            "confirmed": bool
+        } or None
+    """
+    minutely = minutely_data.get("minutely_15", {}) or {}
+    times = minutely.get("time", []) or []
+    values = minutely.get(param_name, []) or []
+    
+    if not times or not values:
+        return None
+    
+    for i, (t_str, val) in enumerate(zip(times, values)):
+        try:
+            dt = parse_time_local(t_str)
+            if dt < window_start or dt > window_end:
+                continue
+            
+            val_float = float(val) if val is not None else 0.0
+            
+            if val_float >= threshold:
+                # Verifica conferma (almeno confirm_intervals consecutivi)
+                confirmed = True
+                if i + confirm_intervals - 1 < len(values):
+                    for k in range(1, confirm_intervals):
+                        next_val = float(values[i + k]) if i + k < len(values) and values[i + k] is not None else 0.0
+                        if next_val < threshold:
+                            confirmed = False
+                            break
+                else:
+                    confirmed = False
+                
+                if confirmed:
+                    return {
+                        "start": dt,
+                        "start_precise": dt.strftime("%H:%M"),
+                        "value_at_start": val_float,
+                        "confirmed": confirmed
+                    }
+        except Exception:
+            continue
+    
+    return None
+
+
+def analyze_snowfall_event(
+    times: List[str],
+    snowfall: List[float],
+    weathercode: List[int],
+    start_idx: int,
+    max_hours: int = 48
+) -> Dict:
+    """
+    Analizza una nevicata completa partendo da start_idx.
+    
+    Calcola:
+    - Durata totale (ore consecutive con neve)
+    - Accumulo totale (somma di tutti i snowfall > 0)
+    - Ore di inizio e fine
+    
+    Args:
+        times: Lista di timestamp
+        snowfall: Lista di valori snowfall (già in cm)
+        weathercode: Lista di weather codes
+        start_idx: Indice di inizio della nevicata
+        max_hours: Massimo numero di ore da analizzare (default: 48)
+    
+    Returns:
+        Dict con:
+        - duration_hours: durata in ore
+        - total_accumulation_cm: accumulo totale in cm
+        - start_time: datetime di inizio
+        - end_time: datetime di fine (o None se continua oltre max_hours)
+        - is_ongoing: True se continua oltre max_hours
+    """
+    from zoneinfo import ZoneInfo
+    
+    if start_idx >= len(times):
+        return None
+    
+    start_dt = parse_time_local(times[start_idx])
+    end_idx = start_idx
+    total_accum = 0.0
+    duration = 0
+    
+    # Analizza fino a max_hours in avanti o fino alla fine dei dati
+    max_idx = min(start_idx + max_hours, len(times))
+    
+    for i in range(start_idx, max_idx):
+        snow_val = snowfall[i] if i < len(snowfall) and snowfall[i] is not None else 0.0
+        code = weathercode[i] if i < len(weathercode) and weathercode[i] is not None else None
+        
+        # Considera neve se: snowfall > 0 OPPURE weather_code indica neve
+        is_snow = (snow_val > 0.0) or (code in SNOW_WEATHER_CODES)
+        
+        if is_snow:
+            duration += 1
+            total_accum += snow_val
+            end_idx = i
+        else:
+            # Se c'è una pausa, continua comunque a cercare (potrebbe essere una pausa temporanea)
+            # Ma se la pausa è > 2 ore, considera la nevicata terminata
+            pause_hours = 0
+            for j in range(i, min(i + 3, max_idx)):
+                next_snow = snowfall[j] if j < len(snowfall) and snowfall[j] is not None else 0.0
+                next_code = weathercode[j] if j < len(weathercode) and weathercode[j] is not None else None
+                if (next_snow > 0.0) or (next_code in SNOW_WEATHER_CODES):
+                    break
+                pause_hours += 1
+            
+            # Se pausa > 2 ore, termina l'analisi
+            if pause_hours >= 2:
+                break
+    
+    end_dt = parse_time_local(times[end_idx]) if end_idx < len(times) else None
+    is_ongoing = (end_idx >= max_idx - 1) and (end_idx < len(times) - 1)
+    
+    return {
+        "duration_hours": duration,
+        "total_accumulation_cm": total_accum,
+        "start_time": start_dt,
+        "end_time": end_dt,
+        "is_ongoing": is_ongoing,
+        "start_idx": start_idx,
+        "end_idx": end_idx
+    }
+
+
+def find_snowfall_start(
+    times: List[str],
+    snowfall: List[float],
+    weathercode: List[int],
+    window_start: datetime.datetime,
+    window_end: datetime.datetime
+) -> Optional[int]:
+    """
+    Trova l'inizio di una nevicata nella finestra temporale.
+    
+    Una nevicata inizia quando:
+    - snowfall > 0 OPPURE weather_code indica neve (71, 73, 75, 77, 85, 86)
+    
+    Returns:
+        Indice del primo timestamp con neve, o None
+    """
+    for i, t_str in enumerate(times):
+        try:
+            dt = parse_time_local(t_str)
+            if dt < window_start or dt > window_end:
+                continue
+            
+            snow_val = snowfall[i] if i < len(snowfall) and snowfall[i] is not None else 0.0
+            code = weathercode[i] if i < len(weathercode) and weathercode[i] is not None else None
+            
+            # Rileva inizio neve
+            if (snow_val > 0.0) or (code in SNOW_WEATHER_CODES):
+                return i
+        except Exception:
+            continue
+    
+    return None
+
+
+def compare_values(arome_val: float, icon_val: float) -> Optional[Dict]:
+    """Confronta due valori e ritorna info se scostamento >30%"""
+    if arome_val == 0 and icon_val == 0:
+        return None
+    
+    if arome_val > 0:
+        diff_pct = abs(icon_val - arome_val) / arome_val
+    elif icon_val > 0:
+        diff_pct = abs(arome_val - icon_val) / icon_val
+    else:
+        return None
+    
+    if diff_pct > COMPARISON_THRESHOLD:
+        return {
+            "diff_pct": diff_pct * 100,
+            "arome": arome_val,
+            "icon": icon_val
+        }
         return None
 
 
@@ -190,7 +501,10 @@ def load_state() -> Dict:
                 return json.load(f) or {}
         except Exception:
             return {}
-    return {}
+    return {
+        "active_events": {},
+        "last_sent_utc": ""
+    }
 
 
 def save_state(state: Dict) -> None:
@@ -201,6 +515,154 @@ def save_state(state: Dict) -> None:
         pass
 
 
+def is_event_already_active(
+    active_events: Dict,
+    event_type: str,
+    start_time: datetime.datetime,
+    tolerance_hours: float = 2.0
+) -> bool:
+    """
+    Verifica se un evento con lo stesso inizio è già attivo.
+    
+    Args:
+        active_events: Dict con eventi attivi per tipo
+        event_type: Tipo evento ("SNOW", "RAIN", "WIND")
+        start_time: Timestamp di inizio dell'evento
+        tolerance_hours: Tolleranza in ore per considerare lo stesso evento
+    
+    Returns:
+        True se l'evento è già attivo
+    """
+    events_of_type = active_events.get(event_type, [])
+    
+    for event in events_of_type:
+        try:
+            event_start_str = event.get("start_time", "")
+            if not event_start_str:
+                continue
+            
+            event_start = datetime.datetime.fromisoformat(event_start_str)
+            # Normalizza timezone
+            if event_start.tzinfo is None:
+                event_start = event_start.replace(tzinfo=TZINFO)
+            else:
+                event_start = event_start.astimezone(TZINFO)
+            
+            # Normalizza start_time
+            if start_time.tzinfo is None:
+                start_time = start_time.replace(tzinfo=TZINFO)
+            else:
+                start_time = start_time.astimezone(TZINFO)
+            
+            # Verifica se l'inizio è entro la tolleranza
+            time_diff = abs((start_time - event_start).total_seconds() / 3600.0)
+            if time_diff <= tolerance_hours:
+                return True
+        except Exception:
+            continue
+    
+    return False
+
+
+def add_active_event(
+    active_events: Dict,
+    event_type: str,
+    start_time: datetime.datetime,
+    end_time: Optional[datetime.datetime] = None,
+    is_ongoing: bool = False
+) -> None:
+    """
+    Aggiunge un evento attivo allo state.
+    """
+    if event_type not in active_events:
+        active_events[event_type] = []
+    
+    # Normalizza timezone
+    if start_time.tzinfo is None:
+        start_time = start_time.replace(tzinfo=TZINFO)
+    else:
+        start_time = start_time.astimezone(TZINFO)
+    
+    event = {
+        "start_time": start_time.isoformat(),
+        "first_alerted": datetime.datetime.now(datetime.timezone.utc).isoformat(),
+        "type": event_type,
+        "is_ongoing": is_ongoing
+    }
+    
+    if end_time:
+        if end_time.tzinfo is None:
+            end_time = end_time.replace(tzinfo=TZINFO)
+        else:
+            end_time = end_time.astimezone(TZINFO)
+        event["end_time"] = end_time.isoformat()
+    
+    active_events[event_type].append(event)
+
+
+def cleanup_ended_events(
+    active_events: Dict,
+    now: datetime.datetime
+) -> None:
+    """
+    Rimuove eventi terminati dallo state (ma non invia notifiche di fine).
+    
+    Un evento è considerato terminato se:
+    - Ha un end_time nel passato E non è ongoing
+    - O se l'evento è più vecchio di 48 ore (safety cleanup)
+    """
+    if now.tzinfo is None:
+        now = now.replace(tzinfo=TZINFO)
+    else:
+        now = now.astimezone(TZINFO)
+    
+    for event_type in list(active_events.keys()):
+        events = active_events[event_type]
+        kept_events = []
+        
+        for event in events:
+            try:
+                start_time_str = event.get("start_time", "")
+                if not start_time_str:
+                    continue
+                
+                start_time = datetime.datetime.fromisoformat(start_time_str)
+                if start_time.tzinfo is None:
+                    start_time = start_time.replace(tzinfo=TZINFO)
+                else:
+                    start_time = start_time.astimezone(TZINFO)
+                
+                # Safety cleanup: rimuovi eventi più vecchi di 48 ore
+                age_hours = (now - start_time).total_seconds() / 3600.0
+                if age_hours > 48:
+                    LOGGER.debug("Rimosso evento %s vecchio di %.1f ore (cleanup)", event_type, age_hours)
+                    continue
+                
+                # Verifica se l'evento è terminato
+                end_time_str = event.get("end_time")
+                is_ongoing = event.get("is_ongoing", False)
+                
+                if end_time_str and not is_ongoing:
+                    end_time = datetime.datetime.fromisoformat(end_time_str)
+                    if end_time.tzinfo is None:
+                        end_time = end_time.replace(tzinfo=TZINFO)
+                    else:
+                        end_time = end_time.astimezone(TZINFO)
+                    
+                    # Se end_time è nel passato, rimuovi l'evento
+                    if end_time < now:
+                        LOGGER.debug("Rimosso evento %s terminato alle %s", event_type, end_time_str)
+                        continue
+                
+                # Mantieni l'evento
+                kept_events.append(event)
+            except Exception as e:
+                LOGGER.debug("Errore cleanup evento %s: %s", event_type, e)
+                continue
+        
+        active_events[event_type] = kept_events
+
+
 def find_confirmed_start(
     times: List[str],
     cond: List[bool],
@@ -233,24 +695,36 @@ def find_confirmed_start(
     return None
 
 
-def main() -> None:
+def main(chat_ids: Optional[List[str]] = None, debug_mode: bool = False) -> None:
     LOGGER.info("--- Nowcast 120m alert ---")
 
-    data = get_forecast()
-    if not data:
+    # Estendi forecast a 3 giorni per avere 48h di analisi neve completa
+    data_arome = get_forecast(MODEL_AROME, forecast_days=3)
+    if not data_arome:
         return
 
-    hourly = data.get("hourly", {}) or {}
-    times = hourly.get("time", []) or []
-    precip = hourly.get("precipitation", []) or []
-    gust = hourly.get("windgusts_10m", []) or []
-    snow = hourly.get("snowfall", []) or []
+    hourly_arome = data_arome.get("hourly", {}) or {}
+    times = hourly_arome.get("time", []) or []
+    precip_arome = hourly_arome.get("precipitation", []) or []
+    gust_arome = hourly_arome.get("windgusts_10m", []) or []
+    snow_arome = hourly_arome.get("snowfall", []) or []
+    weathercode_arome = hourly_arome.get("weathercode", []) or []  # Per rilevare neve anche con snowfall basso
+    
+    # Recupera dati ICON Italia per comparazione (48h)
+    data_icon = get_forecast(MODEL_ICON_IT, use_minutely=False, forecast_days=3)
+    hourly_icon = data_icon.get("hourly", {}) or {} if data_icon else {}
+    precip_icon = hourly_icon.get("precipitation", []) or []
+    gust_icon = hourly_icon.get("windgusts_10m", []) or []
+    snow_icon = hourly_icon.get("snowfall", []) or []
+    weathercode_icon = hourly_icon.get("weathercode", []) or []
 
     if not times:
         LOGGER.error("Open-Meteo: hourly.time mancante/vuoto")
         return
 
     now = now_local()
+    # Finestra per rilevare inizio neve: prossime 2 ore
+    window_start = now
     window_end = now + datetime.timedelta(minutes=WINDOW_MINUTES)
 
     # Normalizza array a lunghezza times
@@ -262,82 +736,199 @@ def main() -> None:
         except Exception:
             return 0.0
 
-    rain_cond = [(val(precip, i) >= RAIN_INTENSE_MM_H) for i in range(n)]
-    wind_cond = [(val(gust, i) >= WIND_GUST_STRONG_KMH) for i in range(n)]
+    rain_cond = [(val(precip_arome, i) >= RAIN_INTENSE_MM_H) for i in range(n)]
+    wind_cond = [(val(gust_arome, i) >= WIND_GUST_STRONG_KMH) for i in range(n)]
 
-    # Per neve: accumulo su 2 ore consecutive (i e i+1) >= soglia
-    snow2_cond = []
-    for i in range(n):
-        if i + 1 < n:
-            snow2 = val(snow, i) + val(snow, i + 1)
-            snow2_cond.append(snow2 >= SNOW_ACCUM_2H_CM)
-        else:
-            snow2_cond.append(False)
+    # Per neve: nuova logica - rileva inizio nevicata e analizza evento completo (48h)
+    snow_start_i = find_snowfall_start(times, snow_arome, weathercode_arome, window_start, window_end)
 
-    rain_i = find_confirmed_start(times, rain_cond, RAIN_CONFIRM_HOURS, now, window_end)
-    wind_i = find_confirmed_start(times, wind_cond, WIND_CONFIRM_HOURS, now, window_end)
-    snow_i = find_confirmed_start(times, snow2_cond, 1, now, window_end)  # già condensa su 2h
+    rain_i = find_confirmed_start(times, rain_cond, RAIN_CONFIRM_HOURS, window_start, window_end)
+    wind_i = find_confirmed_start(times, wind_cond, WIND_CONFIRM_HOURS, window_start, window_end)
 
     if DEBUG:
-        LOGGER.debug("window now=%s end=%s model=%s", now.isoformat(timespec="minutes"), window_end.isoformat(timespec="minutes"), MODEL)
+        LOGGER.debug("window now=%s end=%s model=%s", now.isoformat(timespec="minutes"), window_end.isoformat(timespec="minutes"), MODEL_AROME)
         LOGGER.debug("rain_start=%s wind_start=%s snow_start=%s", rain_i, wind_i, snow_i)
 
     alerts: List[str] = []
     sig_parts: List[str] = []
+    comparisons: Dict[str, Dict] = {}  # tipo_allerta -> comparison info
+    
+    # Usa minutely_15 per trovare inizio preciso (se disponibile)
+    minutely_arome = data_arome.get("minutely_15", {}) or {}
+    minutely_available = bool(minutely_arome.get("time"))
 
     # Pioggia intensa
     if rain_i is not None:
         start_dt = parse_time_local(times[rain_i])
+        
+        # Se minutely_15 disponibile, trova inizio preciso (risoluzione 15 minuti)
+        precise_start = None
+        if minutely_available:
+            precise_start = find_precise_start_minutely(
+                minutely_arome, "precipitation", RAIN_INTENSE_MM_H, window_start, window_end, confirm_intervals=2
+            )
+            if precise_start:
+                start_dt = precise_start["start"]
+        
         # picco entro finestra
-        max_r = 0.0
+        max_r_arome = 0.0
         for i in range(n):
             dt = parse_time_local(times[i])
-            if dt < now or dt > window_end:
+            if dt < window_start or dt > window_end:
                 continue
-            max_r = max(max_r, val(precip, i))
-        alerts.append(
+            max_r_arome = max(max_r_arome, val(precip_arome, i))
+        
+        # Calcola picco ICON se disponibile
+        max_r_icon = 0.0
+        if len(precip_icon) >= n:
+            for i in range(n):
+                dt = parse_time_local(times[i])
+                if dt < window_start or dt > window_end:
+                    continue
+                max_r_icon = max(max_r_icon, val(precip_icon, i))
+        
+        # Comparazione
+        comp_rain = compare_values(max_r_arome, max_r_icon) if max_r_icon > 0 else None
+        if comp_rain:
+            comparisons["rain"] = comp_rain
+        
+        start_time_str = precise_start["start_precise"] if precise_start else start_dt.strftime('%H:%M')
+        detail_note = f" (dettaglio 15 min)" if precise_start else ""
+        
+        alert_text = (
             f"🌧️ *PIOGGIA INTENSA*\n"
-            f"Inizio confermato: `{start_dt.strftime('%H:%M')}` (≥ {RAIN_INTENSE_MM_H:.0f} mm/h per {RAIN_CONFIRM_HOURS}h)\n"
-            f"Picco stimato (entro {WINDOW_MINUTES}m): `{max_r:.1f} mm/h`"
+            f"Inizio confermato: `{start_time_str}`{detail_note} (≥ {RAIN_INTENSE_MM_H:.0f} mm/h per {RAIN_CONFIRM_HOURS}h)\n"
+            f"Picco stimato (entro {WINDOW_MINUTES}m): `{max_r_arome:.1f} mm/h`"
         )
-        sig_parts.append(f"RAIN@{start_dt.strftime('%Y%m%d%H%M')}/peak{max_r:.1f}")
+        if comp_rain:
+            alert_text += f"\n⚠️ *Discordanza modelli*: AROME `{max_r_arome:.1f}` mm/h | ICON `{max_r_icon:.1f}` mm/h (scostamento {comp_rain['diff_pct']:.0f}%)"
+        alerts.append(alert_text)
+        sig_parts.append(f"RAIN@{start_dt.strftime('%Y%m%d%H%M')}/peak{max_r_arome:.1f}")
 
     # Vento forte (raffiche)
     if wind_i is not None:
         start_dt = parse_time_local(times[wind_i])
-        max_g = 0.0
+        
+        # Verifica se l'evento è già attivo
+        is_already_active = is_event_already_active(active_events, "WIND", start_dt, tolerance_hours=2.0)
+        
+        if is_already_active:
+            LOGGER.info("Evento vento già attivo (inizio: %s), non invio notifica", start_dt.strftime('%Y-%m-%d %H:%M'))
+        else:
+            max_g_arome = 0.0
+            for i in range(n):
+                dt = parse_time_local(times[i])
+                if dt < window_start or dt > window_end:
+                    continue
+                max_g_arome = max(max_g_arome, val(gust_arome, i))
+            
+            # Calcola picco ICON se disponibile
+            max_g_icon = 0.0
+            if len(gust_icon) >= n:
         for i in range(n):
             dt = parse_time_local(times[i])
-            if dt < now or dt > window_end:
+                    if dt < window_start or dt > window_end:
                 continue
-            max_g = max(max_g, val(gust, i))
-        alerts.append(
+                    max_g_icon = max(max_g_icon, val(gust_icon, i))
+            
+            # Comparazione
+            comp_wind = compare_values(max_g_arome, max_g_icon) if max_g_icon > 0 else None
+            if comp_wind:
+                comparisons["wind"] = comp_wind
+            
+            alert_text = (
             f"💨 *VENTO FORTE*\n"
             f"Inizio confermato: `{start_dt.strftime('%H:%M')}` (raffiche ≥ {WIND_GUST_STRONG_KMH:.0f} km/h per {WIND_CONFIRM_HOURS}h)\n"
-            f"Raffica max stimata (entro {WINDOW_MINUTES}m): `{max_g:.0f} km/h`"
+                f"Raffica max stimata (entro {WINDOW_MINUTES}m): `{max_g_arome:.0f} km/h`"
         )
-        sig_parts.append(f"WIND@{start_dt.strftime('%Y%m%d%H%M')}/peak{max_g:.0f}")
+            if comp_wind:
+                alert_text += f"\n⚠️ *Discordanza modelli*: AROME `{max_g_arome:.0f}` km/h | ICON `{max_g_icon:.0f}` km/h (scostamento {comp_wind['diff_pct']:.0f}%)"
+            alerts.append(alert_text)
+            sig_parts.append(f"WIND@{start_dt.strftime('%Y%m%d%H%M')}")
+            
+            # Aggiungi evento attivo allo state (stima fine: 6 ore dopo inizio)
+            estimated_end = start_dt + datetime.timedelta(hours=6)
+            add_active_event(active_events, "WIND", start_dt, estimated_end, is_ongoing=False)
 
-    # Neve (accumulo 2h)
-    if snow_i is not None:
-        start_dt = parse_time_local(times[snow_i])
-        snow2 = val(snow, snow_i) + val(snow, snow_i + 1)
-        alerts.append(
-            f"❄️ *NEVE*\n"
-            f"Inizio stimato: `{start_dt.strftime('%H:%M')}`\n"
-            f"Accumulo 2h stimato: `{snow2:.1f} cm` (soglia ≥ {SNOW_ACCUM_2H_CM:.1f} cm)"
-        )
-        sig_parts.append(f"SNOW@{start_dt.strftime('%Y%m%d%H%M')}/acc{snow2:.1f}")
+    # Neve: analizza evento completo (48h)
+    if snow_start_i is not None:
+        # Analizza la nevicata completa
+        snow_event = analyze_snowfall_event(times, snow_arome, weathercode_arome, snow_start_i, max_hours=48)
+        
+        if snow_event:
+            start_dt = snow_event["start_time"]
+            total_accum_cm = snow_event["total_accumulation_cm"]
+            duration_hours = snow_event["duration_hours"]
+            end_dt = snow_event["end_time"]
+            is_ongoing = snow_event["is_ongoing"]
+            
+            # Determina severità in base all'accumulo totale
+            is_significant = total_accum_cm >= SNOW_ACCUM_2H_CM
+            severity_emoji = "❄️" if is_significant else "🌨️"
+            severity_text = "NEVE SIGNIFICATIVA" if is_significant else "NEVE"
+            
+            # Se minutely_15 disponibile, trova inizio preciso
+            precise_start_snow = None
+            if minutely_available:
+                precise_start_snow = find_precise_start_minutely(
+                    minutely_arome, "snowfall", 0.01, window_start, window_end, confirm_intervals=1
+                )
+            
+            start_time_str = precise_start_snow["start_precise"] if precise_start_snow else start_dt.strftime('%H:%M')
+            detail_note = f" (dettaglio 15 min)" if precise_start_snow else ""
+            
+            # Calcola accumulo ICON per comparazione
+            if data_icon and snow_start_i < len(snow_icon):
+                icon_event = analyze_snowfall_event(times, snow_icon, weathercode_icon, snow_start_i, max_hours=48)
+                icon_accum_cm = icon_event["total_accumulation_cm"] if icon_event else 0.0
+                comp_snow = compare_values(total_accum_cm, icon_accum_cm) if icon_accum_cm > 0 else None
+            else:
+                comp_snow = None
+            
+            if comp_snow:
+                comparisons["snow"] = comp_snow
+            
+            # Costruisci messaggio con durata e accumulo totale
+            end_time_str = end_dt.strftime('%H:%M') if end_dt and not is_ongoing else "in corso"
+            duration_text = f"{duration_hours}h" if duration_hours > 0 else "<1h"
+            
+            alert_text = (
+                f"{severity_emoji} *{severity_text}*\n"
+                f"Inizio: `{start_time_str}`{detail_note}\n"
+                f"Durata prevista: `{duration_text}`"
+            )
+            
+            if end_dt and not is_ongoing:
+                alert_text += f" (fino alle `{end_time_str}`)"
+            elif is_ongoing:
+                alert_text += f" (continua oltre 48h)"
+            
+            alert_text += f"\nAccumulo totale previsto: `{total_accum_cm:.2f} cm`"
+            
+            if comp_snow:
+                alert_text += f"\n⚠️ *Discordanza modelli*: AROME `{total_accum_cm:.2f}` cm | ICON `{icon_accum_cm:.2f}` cm (scostamento {comp_snow['diff_pct']:.0f}%)"
+            
+            alerts.append(alert_text)
+            sig_parts.append(f"SNOW@{start_dt.strftime('%Y%m%d%H%M')}/dur{duration_hours}h/acc{total_accum_cm:.1f}")
 
-    if not alerts:
-        LOGGER.info("Nessuna allerta confermata entro %s minuti.", WINDOW_MINUTES)
-        return
 
     signature = "|".join(sig_parts)
 
-    # Anti-spam
-    state = load_state()
-    last_sig = str(state.get("signature", ""))
+    # Se non ci sono nuovi eventi, non inviare nulla (non inviare notifiche di fine evento)
+    if not alerts:
+        if debug_mode:
+            # In modalità debug, crea un messaggio informativo anche se non ci sono allerte
+            LOGGER.info("[DEBUG MODE] Nessuna allerta, ma creo messaggio informativo")
+            alerts.append("ℹ️ <i>Nessuna allerta confermata entro %s minuti.</i>" % WINDOW_MINUTES)
+            sig_parts.append("NO_ALERT")
+        else:
+        LOGGER.info("Nessuna allerta confermata entro %s minuti.", WINDOW_MINUTES)
+            # Salva state aggiornato (con eventi puliti) anche se non inviamo notifiche
+            state["active_events"] = active_events
+            save_state(state)
+        return
+
+    # Anti-spam: controlla solo se ci sono nuovi eventi
     last_sent = state.get("last_sent_utc", "")
     last_sent_dt = None
     if last_sent:
@@ -352,28 +943,48 @@ def main() -> None:
         delta_min = (now_utc - last_sent_dt).total_seconds() / 60.0
         too_soon = delta_min < MIN_RESEND_MINUTES
 
-    if signature == last_sig and too_soon:
-        LOGGER.info("Allerta già inviata di recente (signature invariata).")
+    # In modalità debug, bypassa controlli anti-spam
+    if debug_mode:
+        LOGGER.info("[DEBUG MODE] Bypass anti-spam: invio forzato")
+    elif too_soon:
+        LOGGER.info("Allerta già inviata di recente (troppo presto).")
+        # Salva state aggiornato anche se non inviamo
+        state["active_events"] = active_events
+        save_state(state)
         return
 
+    model_info = MODEL_AROME
+    if comparisons:
+        model_info = f"{MODEL_AROME} + ICON Italia (discordanza rilevata)"
+
     msg = (
         f"⚠️ *ALLERTA METEO (entro {WINDOW_MINUTES} minuti)*\n"
         f"📍 {LOCATION_NAME}\n"
-        f"🕒 Agg. `{now.strftime('%d/%m %H:%M')}`  (modello: `{MODEL}`)\n\n"
+        f"🕒 Agg. `{now.strftime('%d/%m %H:%M')}`  (modello: `{model_info}`)\n\n"
         + "\n\n".join(alerts)
-        + "\n\n_Fonte: Open-Meteo (AROME HD 1.5km)_"
+        + "\n\n_Fonte: Open-Meteo_"
     )
 
-    ok = telegram_send_markdown(msg)
+    ok = telegram_send_markdown(msg, chat_ids=chat_ids)
     if ok:
         LOGGER.info("Notifica inviata.")
-        save_state({
-            "signature": signature,
-            "last_sent_utc": now_utc.isoformat(timespec="seconds"),
-        })
+        # Salva state con eventi attivi aggiornati
+        state["active_events"] = active_events
+        state["last_sent_utc"] = now_utc.isoformat(timespec="seconds")
+        save_state(state)
     else:
         LOGGER.error("Notifica NON inviata (token/telegram).")
+        # Salva comunque lo state aggiornato
+        state["active_events"] = active_events
+        save_state(state)
 
 
 if __name__ == "__main__":
-    main()
+    arg_parser = argparse.ArgumentParser(description="Nowcast 120m alert")
+    arg_parser.add_argument("--debug", action="store_true", help="Invia messaggi solo all'admin (chat ID: %s)" % TELEGRAM_CHAT_IDS[0])
+    args = arg_parser.parse_args()
+    
+    # In modalità debug, invia solo al primo chat ID (admin) e bypassa anti-spam
+    chat_ids = [TELEGRAM_CHAT_IDS[0]] if args.debug else None
+    
+    main(chat_ids=chat_ids, debug_mode=args.debug)

services/telegram-bot/scheduler_viaggi.py

@@ -0,0 +1,120 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Scheduler dinamico per viaggi attivi
+- Lancia meteo.py alle 8:00 AM local time per ogni viaggio attivo
+- Lancia previsione7.py alle 7:30 AM local time per ogni viaggio attivo
+- Gestisce fusi orari diversi per ogni località
+"""
+
+import os
+import json
+import subprocess
+import datetime
+from zoneinfo import ZoneInfo
+from typing import Dict, List, Tuple
+
+# PERCORSI SCRIPT
+SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__))
+METEO_SCRIPT = os.path.join(SCRIPT_DIR, "meteo.py")
+METEO7_SCRIPT = os.path.join(SCRIPT_DIR, "previsione7.py")
+VIAGGI_STATE_FILE = os.path.join(SCRIPT_DIR, "viaggi_attivi.json")
+
+def load_viaggi_state() -> Dict:
+    """Carica lo stato dei viaggi attivi da file JSON"""
+    if os.path.exists(VIAGGI_STATE_FILE):
+        try:
+            with open(VIAGGI_STATE_FILE, "r", encoding="utf-8") as f:
+                return json.load(f) or {}
+        except Exception as e:
+            print(f"Errore lettura viaggi state: {e}")
+            return {}
+    return {}
+
+def get_next_scheduled_time(target_hour: int, target_minute: int, timezone_str: str) -> Tuple[datetime.datetime, bool]:
+    """
+    Calcola il prossimo orario schedulato in UTC per un target locale.
+    
+    Args:
+        target_hour: Ora target (0-23)
+        target_minute: Minuto target (0-59)
+        timezone_str: Timezone IANA (es: "Europe/Rome")
+    
+    Returns:
+        (datetime UTC, should_run_now): True se dovrebbe essere eseguito ora
+    """
+    try:
+        tz = ZoneInfo(timezone_str)
+        now_utc = datetime.datetime.now(datetime.timezone.utc)
+        now_local = now_utc.astimezone(tz)
+        
+        # Crea datetime target per oggi
+        target_local = now_local.replace(hour=target_hour, minute=target_minute, second=0, microsecond=0)
+        
+        # Se l'orario è già passato oggi, programma per domani
+        if now_local >= target_local:
+            target_local += datetime.timedelta(days=1)
+        
+        # Converti in UTC
+        target_utc = target_local.astimezone(datetime.timezone.utc)
+        
+        # Verifica se dovrebbe essere eseguito ora (entro 5 minuti)
+        time_diff = (target_utc - now_utc).total_seconds()
+        should_run_now = 0 <= time_diff <= 300  # Entro 5 minuti
+        
+        return target_utc, should_run_now
+    except Exception as e:
+        print(f"Errore calcolo orario per {timezone_str}: {e}")
+        return None, False
+
+def launch_meteo_viaggio(chat_id: str, viaggio: Dict, script_type: str = "meteo") -> None:
+    """Lancia meteo.py o previsione7.py per un viaggio attivo"""
+    lat = viaggio.get("lat")
+    lon = viaggio.get("lon")
+    location = viaggio.get("location")
+    name = viaggio.get("name")
+    timezone = viaggio.get("timezone", "Europe/Rome")
+    
+    if script_type == "meteo":
+        script = METEO_SCRIPT
+        args = ["--query", location, "--chat_id", chat_id, "--timezone", timezone]
+    elif script_type == "meteo7":
+        script = METEO7_SCRIPT
+        args = [location, "--chat_id", chat_id, "--timezone", timezone]
+    else:
+        return
+    
+    try:
+        subprocess.Popen(["python3", script] + args)
+        print(f"✅ Lanciato {script_type} per chat_id={chat_id}, località={name}, timezone={timezone}")
+    except Exception as e:
+        print(f"❌ Errore lancio {script_type} per chat_id={chat_id}: {e}")
+
+def check_and_launch_scheduled() -> None:
+    """Controlla e lancia gli script schedulati per tutti i viaggi attivi"""
+    viaggi = load_viaggi_state()
+    if not viaggi:
+        return
+    
+    now_utc = datetime.datetime.now(datetime.timezone.utc)
+    
+    for chat_id, viaggio in viaggi.items():
+        timezone = viaggio.get("timezone", "Europe/Rome")
+        name = viaggio.get("name", "Unknown")
+        
+        # Controlla meteo.py (8:00 AM local time)
+        target_utc_meteo, should_run_meteo = get_next_scheduled_time(8, 0, timezone)
+        if should_run_meteo:
+            print(f"🕐 Eseguendo meteo.py per {name} (chat_id={chat_id}) alle 8:00 {timezone}")
+            launch_meteo_viaggio(chat_id, viaggio, "meteo")
+        
+        # Controlla previsione7.py (7:30 AM local time)
+        target_utc_meteo7, should_run_meteo7 = get_next_scheduled_time(7, 30, timezone)
+        if should_run_meteo7:
+            print(f"🕐 Eseguendo previsione7.py per {name} (chat_id={chat_id}) alle 7:30 {timezone}")
+            launch_meteo_viaggio(chat_id, viaggio, "meteo7")
+
+if __name__ == "__main__":
+    # Questo script dovrebbe essere eseguito periodicamente (es. ogni 5 minuti) da Portainer
+    # Controlla se ci sono viaggi attivi che devono essere eseguiti ora
+    check_and_launch_scheduled()

services/telegram-bot/severe_weather_circondario.py

@@ -0,0 +1,635 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
+import argparse
+import datetime
+import html
+import json
+import logging
+import os
+import time
+from logging.handlers import RotatingFileHandler
+from typing import Dict, List, Optional, Tuple
+from zoneinfo import ZoneInfo
+
+import requests
+from dateutil import parser
+
+# =============================================================================
+# SEVERE WEATHER ALERT CIRCONDARIO (next 48h) - Analisi Temporali Severi
+#  - Analizza rischio temporali severi per 9 località del circondario
+#  - Fulminazioni elevate (CAPE > 800 J/kg + LPI > 0)
+#  - Downburst (CAPE > 1500 J/kg + Wind Gusts > 60 km/h)
+#  - Nubifragi (Precipitation > 20mm/h o somma 3h > 40mm)
+#  - Rischio Alluvioni (precipitazioni intense e prolungate)
+#
+# Telegram token: NOT in clear.
+# Read order:
+#   1) env TELEGRAM_BOT_TOKEN
+#   2) ~/.telegram_dpc_bot_token
+#   3) /etc/telegram_dpc_bot_token
+#
+# Debug:
+#   DEBUG=1 python3 severe_weather_circondario.py
+#
+# Log:
+#   ./weather_alert_circondario.log  (same folder as this script)
+# =============================================================================
+
+DEBUG = os.environ.get("DEBUG", "0").strip() == "1"
+
+# ----------------- TELEGRAM -----------------
+TELEGRAM_CHAT_IDS = ["64463169", "24827341", "132455422", "5405962012"]
+TOKEN_FILE_HOME = os.path.expanduser("~/.telegram_dpc_bot_token")
+TOKEN_FILE_ETC = "/etc/telegram_dpc_bot_token"
+
+# ----------------- LOCALITÀ CIRCONDARIO -----------------
+# Coordinate delle località da monitorare
+LOCALITA_CIRCONDARIO = [
+    {"name": "Bologna", "lat": 44.4938, "lon": 11.3387},
+    {"name": "Imola", "lat": 44.3552, "lon": 11.7164},
+    {"name": "Faenza", "lat": 44.2856, "lon": 11.8798},
+    {"name": "Ravenna", "lat": 44.4175, "lon": 12.1996},
+    {"name": "Forlì", "lat": 44.2231, "lon": 12.0401},
+    {"name": "Cesena", "lat": 44.1390, "lon": 12.2435},
+    {"name": "Rimini", "lat": 44.0678, "lon": 12.5695},
+    {"name": "Riccione", "lat": 44.0015, "lon": 12.6484},
+    {"name": "Pesaro", "lat": 43.9100, "lon": 12.9133},
+]
+
+# ----------------- THRESHOLDS -----------------
+HOURS_AHEAD = 24  # Analisi 24 ore
+
+# ----------------- CONVECTIVE STORM THRESHOLDS -----------------
+CAPE_LIGHTNING_THRESHOLD = 800.0  # J/kg - Soglia per rischio fulminazioni
+CAPE_SEVERE_THRESHOLD = 1500.0    # J/kg - Soglia per temporali violenti
+WIND_GUST_DOWNBURST_THRESHOLD = 60.0  # km/h - Soglia vento per downburst
+RAIN_INTENSE_THRESHOLD_H = 20.0   # mm/h - Soglia per nubifragio orario
+RAIN_INTENSE_THRESHOLD_3H = 40.0  # mm/3h - Soglia per nubifragio su 3 ore
+RAIN_FLOOD_THRESHOLD_24H = 100.0  # mm/24h - Soglia per rischio alluvioni
+STORM_SCORE_THRESHOLD = 40.0      # Storm Severity Score minimo per allerta
+
+# ----------------- FILES -----------------
+BASE_DIR = os.path.dirname(os.path.abspath(__file__))
+STATE_FILE = os.path.join(BASE_DIR, "weather_state_circondario.json")
+LOG_FILE = os.path.join(BASE_DIR, "weather_alert_circondario.log")
+
+# ----------------- OPEN-METEO -----------------
+OPEN_METEO_URL = "https://api.open-meteo.com/v1/forecast"
+GEOCODING_URL = "https://geocoding-api.open-meteo.com/v1/search"
+TZ = "Europe/Rome"  # Timezone Italia per il circondario
+TZINFO = ZoneInfo(TZ)
+HTTP_HEADERS = {"User-Agent": "rpi-severe-weather-circondario/1.0"}
+
+# Modelli meteo
+MODEL_PRIMARY = "meteofrance_seamless"
+MODEL_FALLBACK = "meteofrance_arome_france_hd"
+MODEL_ICON_IT = "italia_meteo_arpae_icon_2i"
+
+
+# =============================================================================
+# LOGGING
+# =============================================================================
+def setup_logger() -> logging.Logger:
+    logger = logging.getLogger("severe_weather_circondario")
+    logger.setLevel(logging.DEBUG if DEBUG else logging.INFO)
+    logger.handlers.clear()
+
+    fh = RotatingFileHandler(LOG_FILE, maxBytes=1_000_000, backupCount=5, encoding="utf-8")
+    fh.setLevel(logging.DEBUG)
+    fmt = logging.Formatter("%(asctime)s %(levelname)s %(message)s")
+    fh.setFormatter(fmt)
+    logger.addHandler(fh)
+
+    if DEBUG:
+        sh = logging.StreamHandler()
+        sh.setLevel(logging.DEBUG)
+        sh.setFormatter(fmt)
+        logger.addHandler(sh)
+
+    return logger
+
+
+LOGGER = setup_logger()
+
+
+# =============================================================================
+# UTILS
+# =============================================================================
+def ensure_parent_dir(path: str) -> None:
+    parent = os.path.dirname(path)
+    if parent and not os.path.exists(parent):
+        os.makedirs(parent, exist_ok=True)
+
+
+def now_local() -> datetime.datetime:
+    return datetime.datetime.now(TZINFO)
+
+
+def read_text_file(path: str) -> str:
+    try:
+        with open(path, "r", encoding="utf-8") as f:
+            return f.read().strip()
+    except FileNotFoundError:
+        return ""
+    except PermissionError:
+        LOGGER.debug("Permission denied reading %s", path)
+        return ""
+    except Exception as e:
+        LOGGER.exception("Error reading %s: %s", path, e)
+        return ""
+
+
+def load_bot_token() -> str:
+    tok = os.environ.get("TELEGRAM_BOT_TOKEN", "").strip()
+    if tok:
+        return tok
+    tok = read_text_file(TOKEN_FILE_HOME)
+    if tok:
+        return tok
+    tok = read_text_file(TOKEN_FILE_ETC)
+    return tok.strip() if tok else ""
+
+
+def parse_time_to_local(t: str) -> datetime.datetime:
+    """Robust timezone handling."""
+    dt = parser.isoparse(t)
+    if dt.tzinfo is None:
+        return dt.replace(tzinfo=TZINFO)
+    return dt.astimezone(TZINFO)
+
+
+def hhmm(dt: datetime.datetime) -> str:
+    return dt.strftime("%H:%M")
+
+
+def ddmmyyhhmm(dt: datetime.datetime) -> str:
+    return dt.strftime("%d/%m %H:%M")
+
+
+# =============================================================================
+# TELEGRAM
+# =============================================================================
+def telegram_send_html(message_html: str, chat_ids: Optional[List[str]] = None) -> bool:
+    """Never raises. Returns True if at least one chat_id succeeded."""
+    token = load_bot_token()
+    if not token:
+        LOGGER.warning("Telegram token missing: message not sent.")
+        return False
+
+    if chat_ids is None:
+        chat_ids = TELEGRAM_CHAT_IDS
+
+    url = f"https://api.telegram.org/bot{token}/sendMessage"
+    base_payload = {
+        "text": message_html,
+        "parse_mode": "HTML",
+        "disable_web_page_preview": True,
+    }
+
+    sent_ok = False
+    with requests.Session() as s:
+        for chat_id in chat_ids:
+            payload = dict(base_payload)
+            payload["chat_id"] = chat_id
+            try:
+                resp = s.post(url, json=payload, timeout=15)
+                if resp.status_code == 200:
+                    sent_ok = True
+                else:
+                    LOGGER.error("Telegram error chat_id=%s status=%s body=%s",
+                                 chat_id, resp.status_code, resp.text[:500])
+                time.sleep(0.25)
+            except Exception as e:
+                LOGGER.exception("Telegram exception chat_id=%s err=%s", chat_id, e)
+
+    return sent_ok
+
+
+# =============================================================================
+# STATE
+# =============================================================================
+def load_state() -> Dict:
+    default = {
+        "alert_active": False,
+        "locations": {},  # {location_name: {"last_score": 0.0, "last_storm_time": None}}
+    }
+    if os.path.exists(STATE_FILE):
+        try:
+            with open(STATE_FILE, "r", encoding="utf-8") as f:
+                data = json.load(f) or {}
+                default.update(data)
+        except Exception as e:
+            LOGGER.exception("State read error: %s", e)
+    return default
+
+
+def save_state(state: Dict) -> None:
+    try:
+        ensure_parent_dir(STATE_FILE)
+        with open(STATE_FILE, "w", encoding="utf-8") as f:
+            json.dump(state, f, ensure_ascii=False, indent=2)
+    except Exception as e:
+        LOGGER.exception("State write error: %s", e)
+
+
+# =============================================================================
+# OPEN-METEO
+# =============================================================================
+def fetch_forecast(models_value: str, lat: float, lon: float) -> Optional[Dict]:
+    params = {
+        "latitude": lat,
+        "longitude": lon,
+        "hourly": "precipitation,wind_gusts_10m,weather_code,cape",
+        "timezone": TZ,
+        "forecast_days": 2,
+        "wind_speed_unit": "kmh",
+        "precipitation_unit": "mm",
+        "models": models_value,
+    }
+    
+    # Aggiungi CAPE e parametri convettivi
+    if models_value == MODEL_PRIMARY or models_value == MODEL_FALLBACK:
+        params["hourly"] += ",convective_inhibition"
+    elif models_value == MODEL_ICON_IT:
+        params["hourly"] += ",cape"  # ICON potrebbe avere CAPE
+
+    try:
+        r = requests.get(OPEN_METEO_URL, params=params, headers=HTTP_HEADERS, timeout=25)
+        if r.status_code == 400:
+            try:
+                j = r.json()
+                LOGGER.error("Open-Meteo 400 (models=%s, lat=%.4f, lon=%.4f): %s",
+                            models_value, lat, lon, j.get("reason", j))
+            except Exception:
+                LOGGER.error("Open-Meteo 400 (models=%s): %s", models_value, r.text[:500])
+            return None
+        r.raise_for_status()
+        return r.json()
+    except Exception as e:
+        LOGGER.exception("Open-Meteo request error (models=%s, lat=%.4f, lon=%.4f): %s",
+                        models_value, lat, lon, e)
+        return None
+
+
+def get_forecast(lat: float, lon: float) -> Tuple[Optional[Dict], Optional[Dict], str]:
+    """Ritorna (arome_data, icon_data, model_used)"""
+    LOGGER.debug("Requesting Open-Meteo for lat=%.4f lon=%.4f", lat, lon)
+    
+    # Prova AROME Seamless
+    data_arome = fetch_forecast(MODEL_PRIMARY, lat, lon)
+    model_used = MODEL_PRIMARY
+    if data_arome is None:
+        LOGGER.warning("Primary model failed (%s). Trying fallback=%s", MODEL_PRIMARY, MODEL_FALLBACK)
+        data_arome = fetch_forecast(MODEL_FALLBACK, lat, lon)
+        model_used = MODEL_FALLBACK
+    
+    # Prova ICON Italia per LPI
+    data_icon = fetch_forecast(MODEL_ICON_IT, lat, lon)
+    
+    return data_arome, data_icon, model_used
+
+
+# =============================================================================
+# CONVECTIVE STORM ANALYSIS (from severe_weather.py)
+# =============================================================================
+def analyze_convective_risk(icon_data: Dict, arome_data: Dict, times_base: List[str],
+                            start_idx: int, end_idx: int) -> List[Dict]:
+    """Analizza il potenziale di temporali severi combinando dati ICON Italia e AROME Seamless."""
+    if not icon_data or not arome_data:
+        return []
+    
+    icon_hourly = icon_data.get("hourly", {}) or {}
+    arome_hourly = arome_data.get("hourly", {}) or {}
+    
+    icon_times = icon_hourly.get("time", []) or []
+    icon_lpi = (icon_hourly.get("lightning_potential_index", []) or
+                icon_hourly.get("lightning_potential", []) or
+                icon_hourly.get("lpi", []) or [])
+    
+    icon_cape = icon_hourly.get("cape", []) or []
+    if not icon_lpi and icon_cape:
+        icon_lpi = [1.0 if (cape is not None and float(cape) > 800) else 0.0 for cape in icon_cape]
+    
+    arome_cape = arome_hourly.get("cape", []) or []
+    arome_gusts = arome_hourly.get("wind_gusts_10m", []) or []
+    arome_precip = arome_hourly.get("precipitation", []) or []
+    
+    results = []
+    
+    # Pre-calcola somme precipitazione
+    arome_precip_3h = []
+    for i in range(len(arome_precip)):
+        if i < 2:
+            arome_precip_3h.append(0.0)
+        else:
+            try:
+                sum_3h = sum(float(arome_precip[j]) for j in range(i-2, i+1) if arome_precip[j] is not None)
+                arome_precip_3h.append(sum_3h)
+            except Exception:
+                arome_precip_3h.append(0.0)
+    
+    # Pre-calcola somma 24h per rischio alluvioni
+    arome_precip_24h = []
+    for i in range(len(arome_precip)):
+        if i < 23:
+            arome_precip_24h.append(0.0)
+        else:
+            try:
+                sum_24h = sum(float(arome_precip[j]) for j in range(i-23, i+1) if arome_precip[j] is not None)
+                arome_precip_24h.append(sum_24h)
+            except Exception:
+                arome_precip_24h.append(0.0)
+    
+    # Analizza ogni ora
+    for i in range(start_idx, min(end_idx, len(times_base), len(arome_cape), len(arome_gusts), len(arome_precip))):
+        if i >= len(times_base):
+            break
+        
+        try:
+            cape_val = float(arome_cape[i]) if i < len(arome_cape) and arome_cape[i] is not None else 0.0
+            gusts_val = float(arome_gusts[i]) if i < len(arome_gusts) and arome_gusts[i] is not None else 0.0
+            precip_val = float(arome_precip[i]) if i < len(arome_precip) and arome_precip[i] is not None else 0.0
+            precip_3h_val = arome_precip_3h[i] if i < len(arome_precip_3h) else 0.0
+            precip_24h_val = arome_precip_24h[i] if i < len(arome_precip_24h) else 0.0
+        except (ValueError, TypeError, IndexError):
+            continue
+        
+        lpi_val = 0.0
+        if i < len(icon_times) and i < len(icon_lpi):
+            try:
+                icon_time = parse_time_to_local(icon_times[i])
+                arome_time = parse_time_to_local(times_base[i])
+                time_diff = abs((icon_time - arome_time).total_seconds() / 60)
+                if time_diff < 30:
+                    lpi_val = float(icon_lpi[i]) if icon_lpi[i] is not None else 0.0
+            except (ValueError, TypeError, IndexError):
+                pass
+        
+        # Calcola Storm Severity Score
+        score = 0.0
+        threats = []
+        
+        if cape_val > 0:
+            cape_score = min(40.0, (cape_val / 2000.0) * 40.0)
+            score += cape_score
+        
+        if lpi_val > 0:
+            if lpi_val == 1.0:
+                lpi_score = 20.0
+            else:
+                lpi_score = min(30.0, lpi_val * 10.0)
+            score += lpi_score
+        
+        if gusts_val > WIND_GUST_DOWNBURST_THRESHOLD and precip_val > 0.1:
+            dynamic_score = min(30.0, ((gusts_val - WIND_GUST_DOWNBURST_THRESHOLD) / 40.0) * 30.0)
+            score += dynamic_score
+        
+        # Identifica minacce
+        if cape_val > CAPE_LIGHTNING_THRESHOLD and lpi_val > 0:
+            threats.append("Fulminazioni")
+        
+        if cape_val > CAPE_SEVERE_THRESHOLD and gusts_val > WIND_GUST_DOWNBURST_THRESHOLD:
+            threats.append("Downburst/Temporale violento")
+        
+        if precip_val > RAIN_INTENSE_THRESHOLD_H or precip_3h_val > RAIN_INTENSE_THRESHOLD_3H:
+            threats.append("Nubifragio")
+        
+        # Rischio alluvioni: precipitazioni intense e prolungate (accumulo 24h > 100mm)
+        if precip_24h_val > RAIN_FLOOD_THRESHOLD_24H:
+            threats.append("Rischio Alluvioni")
+            # Bonus al score per rischio alluvioni
+            flood_bonus = min(10.0, (precip_24h_val - RAIN_FLOOD_THRESHOLD_24H) / 10.0)
+            score += flood_bonus
+        
+        if score >= STORM_SCORE_THRESHOLD or threats:
+            results.append({
+                "timestamp": times_base[i],
+                "score": score,
+                "threats": threats,
+                "cape": cape_val,
+                "lpi": lpi_val,
+                "gusts": gusts_val,
+                "precip": precip_val,
+                "precip_3h": precip_3h_val,
+                "precip_24h": precip_24h_val,
+            })
+    
+    return results
+
+
+# =============================================================================
+# MESSAGE FORMATTING
+# =============================================================================
+def format_location_alert(location_name: str, storm_events: List[Dict]) -> str:
+    """Formatta alert per una singola località."""
+    if not storm_events:
+        return ""
+    
+    max_score = max(e["score"] for e in storm_events)
+    first_time = parse_time_to_local(storm_events[0]["timestamp"])
+    last_time = parse_time_to_local(storm_events[-1]["timestamp"])
+    duration_hours = len(storm_events)
+    
+    # Raggruppa minacce
+    all_threats = set()
+    for event in storm_events:
+        all_threats.update(event.get("threats", []))
+    
+    threats_str = ", ".join(all_threats) if all_threats else "Temporali severi"
+    
+    max_cape = max(e["cape"] for e in storm_events)
+    max_precip_24h = max((e.get("precip_24h", 0) for e in storm_events), default=0)
+    
+    msg = (
+        f"📍 <b>{html.escape(location_name)}</b>\n"
+        f"📊 Score: <b>{max_score:.0f}/100</b> | {threats_str}\n"
+        f"🕒 {ddmmyyhhmm(first_time)} - {ddmmyyhhmm(last_time)} (~{duration_hours}h)\n"
+        f"⚡ CAPE max: {max_cape:.0f} J/kg"
+    )
+    
+    if max_precip_24h > RAIN_FLOOD_THRESHOLD_24H:
+        msg += f" | 💧 Accumulo 24h: <b>{max_precip_24h:.1f} mm</b> ⚠️"
+    
+    return msg
+
+
+def format_circondario_alert(locations_data: Dict[str, List[Dict]]) -> str:
+    """Formatta alert aggregato per tutto il circondario."""
+    if not locations_data:
+        return ""
+    
+    headline = "⛈️ <b>ALLERTA TEMPORALI SEVERI - CIRCONDARIO</b>"
+    
+    # Statistiche aggregate
+    total_locations = len(locations_data)
+    max_score_overall = max(
+        max((e["score"] for e in events), default=0)
+        for events in locations_data.values()
+    )
+    
+    # Trova prima e ultima occorrenza
+    all_times = []
+    for events in locations_data.values():
+        for event in events:
+            all_times.append(parse_time_to_local(event["timestamp"]))
+    
+    if all_times:
+        first_time_overall = min(all_times)
+        last_time_overall = max(all_times)
+        period_str = f"{ddmmyyhhmm(first_time_overall)} - {ddmmyyhhmm(last_time_overall)}"
+    else:
+        period_str = "N/A"
+    
+    meta = (
+        f"📍 <b>{total_locations} località</b> con rischio temporali severi\n"
+        f"📊 <b>Storm Severity Score max:</b> <b>{max_score_overall:.0f}/100</b>\n"
+        f"🕒 <b>Periodo:</b> {period_str}\n"
+        f"🛰️ <b>Modelli:</b> AROME Seamless + ICON Italia\n"
+    )
+    
+    # Lista località
+    location_parts = []
+    for loc_name, events in sorted(locations_data.items()):
+        loc_msg = format_location_alert(loc_name, events)
+        if loc_msg:
+            location_parts.append(loc_msg)
+    
+    body = "\n\n".join(location_parts)
+    footer = "\n\n<i>Fonte dati: Open-Meteo | Analisi nowcasting temporali severi</i>"
+    
+    return f"{headline}\n{meta}\n{body}{footer}"
+
+
+# =============================================================================
+# MAIN ANALYSIS
+# =============================================================================
+def analyze_location(location: Dict) -> Optional[List[Dict]]:
+    """Analizza rischio temporali severi per una singola località."""
+    name = location["name"]
+    lat = location["lat"]
+    lon = location["lon"]
+    
+    LOGGER.debug("Analizzando %s (%.4f, %.4f)", name, lat, lon)
+    
+    data_arome, data_icon, model_used = get_forecast(lat, lon)
+    if not data_arome:
+        LOGGER.warning("Nessun dato AROME per %s", name)
+        return None
+    
+    hourly_arome = (data_arome.get("hourly", {}) or {})
+    times = hourly_arome.get("time", []) or []
+    
+    if not times:
+        LOGGER.warning("Nessun timestamp per %s", name)
+        return None
+    
+    # Trova finestra temporale
+    now = now_local()
+    start_idx = -1
+    for i, t in enumerate(times):
+        if parse_time_to_local(t) >= now:
+            start_idx = i
+            break
+    
+    if start_idx == -1:
+        LOGGER.warning("Nessun indice di partenza valido per %s", name)
+        return None
+    
+    end_idx = min(start_idx + HOURS_AHEAD, len(times))
+    
+    if data_icon:
+        storm_events = analyze_convective_risk(data_icon, data_arome, times, start_idx, end_idx)
+        if DEBUG and storm_events:
+            LOGGER.debug("  %s: %d eventi rilevati", name, len(storm_events))
+        return storm_events
+    else:
+        LOGGER.warning("Nessun dato ICON per %s, analisi convettiva limitata", name)
+        return None
+
+
+def analyze_all_locations(debug_mode: bool = False) -> None:
+    """Analizza tutte le località del circondario."""
+    LOGGER.info("=== Analisi Temporali Severi - Circondario ===")
+    
+    state = load_state()
+    was_alert_active = bool(state.get("alert_active", False))
+    
+    locations_with_risk = {}
+    
+    for location in LOCALITA_CIRCONDARIO:
+        name = location["name"]
+        storm_events = analyze_location(location)
+        
+        if storm_events:
+            locations_with_risk[name] = storm_events
+            max_score = max(e["score"] for e in storm_events)
+            
+            # Controlla se è un nuovo evento o peggioramento
+            loc_state = state.get("locations", {}).get(name, {})
+            prev_score = float(loc_state.get("last_score", 0.0) or 0.0)
+            
+            if debug_mode or not loc_state.get("alert_sent", False) or (max_score >= prev_score + 15.0):
+                # Aggiorna stato
+                if "locations" not in state:
+                    state["locations"] = {}
+                state["locations"][name] = {
+                    "last_score": float(max_score),
+                    "alert_sent": True,
+                    "last_storm_time": storm_events[0]["timestamp"]
+                }
+        
+        time.sleep(0.5)  # Rate limiting per API
+    
+    # Invia alert se ci sono località a rischio
+    if locations_with_risk or debug_mode:
+        if locations_with_risk:
+            msg = format_circondario_alert(locations_with_risk)
+            if msg:
+                ok = telegram_send_html(msg)
+                if ok:
+                    LOGGER.info("Alert inviato per %d località", len(locations_with_risk))
+                else:
+                    LOGGER.warning("Alert NON inviato (token missing o errore Telegram)")
+                
+                state["alert_active"] = True
+                save_state(state)
+        elif debug_mode:
+            # In modalità debug, invia messaggio anche senza rischi
+            msg = (
+                "ℹ️ <b>ANALISI CIRCONDARIO - Nessun Rischio</b>\n"
+                f"📍 Analizzate {len(LOCALITA_CIRCONDARIO)} località\n"
+                f"🕒 Finestra: prossime {HOURS_AHEAD} ore\n"
+                "<i>Nessun temporale severo previsto nel circondario.</i>"
+            )
+            telegram_send_html(msg)
+            LOGGER.info("Messaggio debug inviato (nessun rischio)")
+    
+    # All-clear se era attivo e ora non c'è più rischio
+    if was_alert_active and not locations_with_risk:
+        msg = (
+            "🟢 <b>ALLERTA TEMPORALI SEVERI - RIENTRATA</b>\n"
+            "<i>Condizioni rientrate sotto le soglie di guardia per tutte le località del circondario.</i>"
+        )
+        telegram_send_html(msg)
+        LOGGER.info("All-clear inviato")
+        
+        state["alert_active"] = False
+        state["locations"] = {}
+        save_state(state)
+    elif not locations_with_risk:
+        state["alert_active"] = False
+        save_state(state)
+
+
+if __name__ == "__main__":
+    arg_parser = argparse.ArgumentParser(description="Severe weather alert - Circondario")
+    arg_parser.add_argument("--debug", action="store_true",
+                           help="Invia messaggi solo all'admin (chat ID: %s)" % TELEGRAM_CHAT_IDS[0])
+    args = arg_parser.parse_args()
+    
+    chat_ids = None
+    if args.debug:
+        chat_ids = [TELEGRAM_CHAT_IDS[0]]
+    
+    analyze_all_locations(debug_mode=args.debug)

services/telegram-bot/snow_radar.py

@@ -0,0 +1,747 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
+import argparse
+import datetime
+import json
+import logging
+import os
+import time
+from logging.handlers import RotatingFileHandler
+from typing import Dict, List, Optional, Tuple
+from zoneinfo import ZoneInfo
+
+import requests
+from dateutil import parser
+
+# =============================================================================
+# snow_radar.py
+#
+# Scopo:
+#   Analizza la nevicata in una griglia di località in un raggio di 40km da San Marino.
+#   Per ciascuna località mostra:
+#   - Nome della località
+#   - Somma dello snowfall orario nelle 12 ore precedenti
+#   - Somma dello snowfall previsto nelle 12 ore successive
+#   - Somma dello snowfall previsto nelle 24 ore successive
+#
+# Modello meteo:
+#   meteofrance_seamless (AROME) per dati dettagliati
+#
+# Token Telegram:
+#   Nessun token in chiaro. Lettura in ordine:
+#     1) env TELEGRAM_BOT_TOKEN
+#     2) ~/.telegram_dpc_bot_token
+#     3) /etc/telegram_dpc_bot_token
+#
+# Debug:
+#   python3 snow_radar.py --debug
+#
+# Log:
+#   ./snow_radar.log (stessa cartella dello script)
+# =============================================================================
+
+DEBUG = os.environ.get("DEBUG", "0").strip() == "1"
+
+# ----------------- TELEGRAM -----------------
+TELEGRAM_CHAT_IDS = ["64463169", "24827341", "132455422", "5405962012"]
+TOKEN_FILE_HOME = os.path.expanduser("~/.telegram_dpc_bot_token")
+TOKEN_FILE_ETC = "/etc/telegram_dpc_bot_token"
+
+# ----------------- CONFIGURAZIONE -----------------
+# Elenco località da monitorare
+LOCATIONS = [
+    {"name": "Casa (Strada Cà Toro)", "lat": 43.9356, "lon": 12.4296},
+    {"name": "Cerasolo", "lat": 43.9831, "lon": 12.5355},  # Frazione di San Marino, più a nord-est
+    {"name": "Rimini", "lat": 44.0678, "lon": 12.5695},
+    {"name": "Riccione", "lat": 44.0000, "lon": 12.6500},
+    {"name": "Cattolica", "lat": 43.9600, "lon": 12.7400},
+    {"name": "Pesaro", "lat": 43.9100, "lon": 12.9100},
+    {"name": "Morciano di Romagna", "lat": 43.9200, "lon": 12.6500},
+    {"name": "Sassocorvaro", "lat": 43.7800, "lon": 12.5000},
+    {"name": "Urbino", "lat": 43.7200, "lon": 12.6400},
+    {"name": "Frontino", "lat": 43.7600, "lon": 12.3800},
+    {"name": "Carpegna", "lat": 43.7819, "lon": 12.3346},
+    {"name": "Pennabilli", "lat": 43.8200, "lon": 12.2600},
+    {"name": "Miratoio", "lat": 43.8500, "lon": 12.3000},  # Approssimazione
+    {"name": "Sant'Agata Feltria", "lat": 43.8600, "lon": 12.2100},
+    {"name": "Novafeltria", "lat": 43.9000, "lon": 12.2900},
+    {"name": "Mercato Saraceno", "lat": 43.9500, "lon": 12.2000},
+    {"name": "Villa Verucchio", "lat": 44.0000, "lon": 12.4300},
+    {"name": "Santarcangelo di Romagna", "lat": 44.0600, "lon": 12.4500},
+    {"name": "Savignano sul Rubicone", "lat": 44.0900, "lon": 12.4000},
+    {"name": "Cesena", "lat": 44.1400, "lon": 12.2400},
+    {"name": "Bellaria-Igea Marina", "lat": 44.1400, "lon": 12.4800},
+    {"name": "Cervia", "lat": 44.2600, "lon": 12.3600},
+    {"name": "Roncofreddo", "lat": 44.0433, "lon": 12.3181},
+    {"name": "Torriana", "lat": 44.0400, "lon": 12.3800},
+    {"name": "Montescudo", "lat": 43.9167, "lon": 12.5333},
+    {"name": "Mercatino Conca", "lat": 43.8686, "lon": 12.4722},
+    {"name": "Macerata Feltria", "lat": 43.8033, "lon": 12.4418},
+    {"name": "Saludecio", "lat": 43.8750, "lon": 12.6667},
+    {"name": "Mondaino", "lat": 43.8500, "lon": 12.6833},
+    {"name": "Tavoleto", "lat": 43.8500, "lon": 12.6000},
+]
+
+# Timezone
+TZ = "Europe/Berlin"
+TZINFO = ZoneInfo(TZ)
+
+# Modello meteo
+MODEL_AROME = "meteofrance_seamless"
+
+# File di log
+BASE_DIR = os.path.dirname(os.path.abspath(__file__))
+LOG_FILE = os.path.join(BASE_DIR, "snow_radar.log")
+
+# ----------------- OPEN-METEO -----------------
+OPEN_METEO_URL = "https://api.open-meteo.com/v1/forecast"
+HTTP_HEADERS = {"User-Agent": "snow-radar/1.0"}
+
+# ----------------- REVERSE GEOCODING -----------------
+# Usa Nominatim (OpenStreetMap) per ottenere nomi località
+NOMINATIM_URL = "https://nominatim.openstreetmap.org/reverse"
+NOMINATIM_HEADERS = {"User-Agent": "snow-radar/1.0"}
+
+
+def setup_logger() -> logging.Logger:
+    logger = logging.getLogger("snow_radar")
+    logger.setLevel(logging.DEBUG if DEBUG else logging.INFO)
+    logger.handlers.clear()
+
+    fh = RotatingFileHandler(LOG_FILE, maxBytes=1_000_000, backupCount=5, encoding="utf-8")
+    fh.setLevel(logging.DEBUG)
+    fmt = logging.Formatter("%(asctime)s %(levelname)s %(message)s")
+    fh.setFormatter(fmt)
+    logger.addHandler(fh)
+
+    if DEBUG:
+        sh = logging.StreamHandler()
+        sh.setLevel(logging.DEBUG)
+        sh.setFormatter(fmt)
+        logger.addHandler(sh)
+
+    return logger
+
+
+LOGGER = setup_logger()
+
+
+# =============================================================================
+# Utility
+# =============================================================================
+def now_local() -> datetime.datetime:
+    return datetime.datetime.now(TZINFO)
+
+
+def read_text_file(path: str) -> str:
+    try:
+        with open(path, "r", encoding="utf-8") as f:
+            return f.read().strip()
+    except FileNotFoundError:
+        return ""
+    except PermissionError:
+        LOGGER.debug("Permission denied reading %s", path)
+        return ""
+    except Exception as e:
+        LOGGER.exception("Error reading %s: %s", path, e)
+        return ""
+
+
+def load_bot_token() -> str:
+    tok = os.environ.get("TELEGRAM_BOT_TOKEN", "").strip()
+    if tok:
+        return tok
+    tok = read_text_file(TOKEN_FILE_HOME)
+    if tok:
+        return tok
+    tok = read_text_file(TOKEN_FILE_ETC)
+    return tok.strip() if tok else ""
+
+
+def parse_time_to_local(t: str) -> datetime.datetime:
+    dt = parser.isoparse(t)
+    if dt.tzinfo is None:
+        return dt.replace(tzinfo=TZINFO)
+    return dt.astimezone(TZINFO)
+
+
+# =============================================================================
+# Geografia
+# =============================================================================
+def calculate_distance_km(lat1: float, lon1: float, lat2: float, lon2: float) -> float:
+    """Calcola distanza in km tra due punti geografici."""
+    from math import radians, cos, sin, asin, sqrt
+    
+    # Formula di Haversine
+    R = 6371  # Raggio Terra in km
+    dlat = radians(lat2 - lat1)
+    dlon = radians(lon2 - lon1)
+    a = sin(dlat/2)**2 + cos(radians(lat1)) * cos(radians(lat2)) * sin(dlon/2)**2
+    c = 2 * asin(sqrt(a))
+    return R * c
+
+
+# =============================================================================
+# Open-Meteo
+# =============================================================================
+def get_forecast(session: requests.Session, lat: float, lon: float) -> Optional[Dict]:
+    """
+    Recupera previsioni meteo per una località.
+    """
+    params = {
+        "latitude": lat,
+        "longitude": lon,
+        "hourly": "snowfall,weathercode",
+        "timezone": TZ,
+        "forecast_days": 2,
+        "models": MODEL_AROME,
+    }
+    
+    try:
+        r = session.get(OPEN_METEO_URL, params=params, headers=HTTP_HEADERS, timeout=25)
+        if r.status_code == 400:
+            try:
+                j = r.json()
+                LOGGER.warning("Open-Meteo 400 (lat=%.4f lon=%.4f): %s", lat, lon, j.get("reason", j))
+            except Exception:
+                LOGGER.warning("Open-Meteo 400 (lat=%.4f lon=%.4f): %s", lat, lon, r.text[:300])
+            return None
+        r.raise_for_status()
+        return r.json()
+    except Exception as e:
+        LOGGER.warning("Open-Meteo error (lat=%.4f lon=%.4f): %s", lat, lon, str(e))
+        return None
+
+
+def analyze_snowfall_for_location(data: Dict, now: datetime.datetime) -> Optional[Dict]:
+    """
+    Analizza snowfall per una località.
+    
+    Nota: Open-Meteo fornisce principalmente dati futuri. Per i dati passati,
+    includiamo anche le ore appena passate se disponibili nei dati hourly.
+    
+    Returns:
+        Dict con:
+        - snow_past_12h: somma snowfall ultime 12 ore (cm) - se disponibile nei dati
+        - snow_next_12h: somma snowfall prossime 12 ore (cm)
+        - snow_next_24h: somma snowfall prossime 24 ore (cm)
+    """
+    hourly = data.get("hourly", {}) or {}
+    times = hourly.get("time", []) or []
+    snowfall = hourly.get("snowfall", []) or []
+    
+    if not times or not snowfall:
+        return None
+    
+    # Converti timestamps
+    dt_list = [parse_time_to_local(t) for t in times]
+    
+    # Calcola finestre temporali
+    past_12h_start = now - datetime.timedelta(hours=12)
+    next_12h_end = now + datetime.timedelta(hours=12)
+    next_24h_end = now + datetime.timedelta(hours=24)
+    
+    snow_past_12h = 0.0
+    snow_next_12h = 0.0
+    snow_next_24h = 0.0
+    
+    for i, dt in enumerate(dt_list):
+        snow_val = float(snowfall[i]) if i < len(snowfall) and snowfall[i] is not None else 0.0
+        
+        # Ultime 12 ore (passato) - solo se i dati includono il passato
+        if dt < now and dt >= past_12h_start:
+            snow_past_12h += snow_val
+        
+        # Prossime 12 ore
+        if now <= dt < next_12h_end:
+            snow_next_12h += snow_val
+        
+        # Prossime 24 ore
+        if now <= dt < next_24h_end:
+            snow_next_24h += snow_val
+    
+    return {
+        "snow_past_12h": snow_past_12h,
+        "snow_next_12h": snow_next_12h,
+        "snow_next_24h": snow_next_24h,
+    }
+
+
+# =============================================================================
+# Mappa Grafica
+# =============================================================================
+def generate_snow_map(results: List[Dict], center_lat: float, center_lon: float, output_path: str, 
+                     data_field: str = "snow_next_24h", title_suffix: str = "") -> bool:
+    """
+    Genera una mappa grafica con punti colorati in base all'accumulo di neve.
+    
+    Args:
+        results: Lista di dict con 'name', 'lat', 'lon', 'snow_past_12h', 'snow_next_12h', 'snow_next_24h'
+        center_lat: Latitudine centro (San Marino)
+        center_lon: Longitudine centro (San Marino)
+        output_path: Percorso file output PNG
+        data_field: Campo da usare per i colori ('snow_past_12h' o 'snow_next_24h')
+        title_suffix: Suffisso da aggiungere al titolo
+    
+    Returns:
+        True se generata con successo, False altrimenti
+    """
+    try:
+        import matplotlib
+        matplotlib.use('Agg')  # Backend senza GUI
+        import matplotlib.pyplot as plt
+        import matplotlib.patches as mpatches
+        from matplotlib.colors import LinearSegmentedColormap
+        import numpy as np
+    except ImportError as e:
+        LOGGER.warning("matplotlib non disponibile: %s. Mappa non generata.", e)
+        return False
+    
+    # Prova a importare contextily per mappa di sfondo
+    try:
+        import contextily as ctx
+        CONTEXTILY_AVAILABLE = True
+    except ImportError:
+        CONTEXTILY_AVAILABLE = False
+        LOGGER.warning("contextily non disponibile. Mappa generata senza sfondo geografico.")
+    
+    if not results:
+        return False
+    
+    # Estrai valori dal campo specificato
+    totals = [r.get(data_field, 0.0) for r in results]
+    max_total = max(totals) if totals else 1.0
+    min_total = min(totals) if totals else 0.0
+    
+    # Estrai coordinate
+    lats = [r["lat"] for r in results]
+    lons = [r["lon"] for r in results]
+    names = [r["name"] for r in results]
+    
+    # Crea figura
+    fig, ax = plt.subplots(figsize=(14, 12))
+    fig.patch.set_facecolor('white')
+    
+    # Limiti fissi della mappa (più zoomata)
+    lat_min, lat_max = 43.7, 44.3
+    lon_min, lon_max = 12.1, 12.8
+    
+    # Configura assi PRIMA di aggiungere lo sfondo
+    ax.set_xlim(lon_min, lon_max)
+    ax.set_ylim(lat_min, lat_max)
+    ax.set_aspect('equal', adjustable='box')
+    
+    # Aggiungi mappa di sfondo OpenStreetMap se disponibile
+    if CONTEXTILY_AVAILABLE:
+        try:
+            # Aggiungi tile OpenStreetMap (contextily gestisce automaticamente la conversione)
+            ctx.add_basemap(ax, crs='EPSG:4326', source=ctx.providers.OpenStreetMap.Mapnik, 
+                          alpha=0.6, attribution_size=6)
+            LOGGER.debug("Mappa OpenStreetMap aggiunta come sfondo")
+        except Exception as e:
+            LOGGER.warning("Errore aggiunta mappa sfondo: %s. Continuo senza sfondo.", e)
+            # Non reimpostare CONTEXTILY_AVAILABLE qui, solo logga l'errore
+    
+    # Disegna punti con colore basato su accumulo totale
+    # Colori: blu (poco) -> verde -> giallo -> arancione -> rosso (molto)
+    cmap = LinearSegmentedColormap.from_list('snow', 
+        ['#1E90FF', '#00CED1', '#32CD32', '#FFD700', '#FF8C00', '#FF4500', '#8B0000'])
+    
+    scatter = ax.scatter(lons, lats, c=totals, s=250, cmap=cmap, 
+                         vmin=min_total, vmax=max_total, 
+                         edgecolors='black', linewidths=2, alpha=0.85, zorder=5)
+    
+    # Posizionamento personalizzato per etichette specifiche
+    label_positions = {
+        "Casa (Strada Cà Toro)": (-20, 20),  # Più alto e più a sx
+        "Cervia": (0, 20),  # Più in alto
+        "Savignano sul Rubicone": (-15, 15),  # Alto a sx
+        "Rimini": (0, 20),  # Più in alto
+        "Santarcangelo di Romagna": (0, -20),  # Più in basso
+        "Riccione": (0, -20),  # Più in basso
+        "Morciano di Romagna": (0, -20),  # Più in basso
+        "Miratoio": (0, -20),  # Più in basso
+        "Carpegna": (-20, -25),  # Più in basso e più a sx
+        "Pennabilli": (0, -20),  # Più in basso
+        "Mercato Saraceno": (0, 20),  # Più in alto
+        "Sant'Agata Feltria": (-20, 15),  # Più a sx
+        "Villa Verucchio": (0, -25),  # Più in basso
+        "Roncofreddo": (-15, 15),  # Alto a sx
+        "Torriana": (-15, 15),  # Alto a sx
+        "Cerasolo": (15, 0),  # Più a dx
+        "Mercatino Conca": (0, -20),  # Più in basso
+        "Novafeltria": (10, 0),  # Leggermente più a dx
+        "Urbino": (0, 20),  # Più in alto
+        "Saludecio": (15, -15),  # Più in basso
+        "Macerata Feltria": (20, 0),  # Più a dx
+        "Mondaino": (15, -15),  # Basso a dx
+        "Tavoleto": (15, -15),  # Basso a dx
+    }
+    
+    # Offset di default per altre località
+    default_offsets = [
+        (8, 8), (8, -12), (-12, 8), (-12, -12),  # 4 direzioni base
+        (0, 15), (0, -15), (15, 0), (-15, 0),    # 4 direzioni intermedie
+        (10, 10), (-10, 10), (10, -10), (-10, -10)  # Diagonali
+    ]
+    
+    for i, (lon, lat, name, total) in enumerate(zip(lons, lats, names, totals)):
+        # Usa posizionamento personalizzato se disponibile, altrimenti offset ciclico
+        if name in label_positions:
+            xytext = label_positions[name]
+        else:
+            offset_idx = i % len(default_offsets)
+            xytext = default_offsets[offset_idx]
+        
+        # Font size basato su importanza
+        fontsize = 9 if total > 5 or name in ["Cerasolo", "Carpegna", "Rimini", "Pesaro"] else 8
+        
+        # Salta Casa qui, la gestiamo separatamente
+        if name == "Casa (Strada Cà Toro)":
+            continue
+        
+        ax.annotate(name, (lon, lat), xytext=xytext, textcoords='offset points',
+                   fontsize=fontsize, fontweight='bold', 
+                   bbox=dict(boxstyle='round,pad=0.4', facecolor='white', alpha=0.9, 
+                            edgecolor='black', linewidth=1),
+                   zorder=6)
+    
+    # Aggiungi punto Casa (Strada Cà Toro) - più grande e visibile, etichetta solo "Casa"
+    casa_lat = 43.9356
+    casa_lon = 12.4296
+    casa_name = "Casa (Strada Cà Toro)"
+    casa_value = next((r.get(data_field, 0.0) for r in results if r.get("name") == casa_name), 0.0)
+    casa_color = cmap((casa_value - min_total) / (max_total - min_total) if max_total > min_total else 0.5)
+    ax.scatter([casa_lon], [casa_lat], s=350, c=[casa_color], 
+              edgecolors='black', linewidths=2.5, zorder=7, marker='s')  # Quadrato per Casa
+    ax.annotate('Casa', (casa_lon, casa_lat), 
+               xytext=(-20, 20), textcoords='offset points',  # Più alto e più a sx
+               fontsize=11, fontweight='bold',
+               bbox=dict(boxstyle='round,pad=0.6', facecolor='white', alpha=0.95, 
+                        edgecolor='black', linewidth=2),
+               zorder=8)
+    
+    # Colorbar (spostata a destra) - label dinamica in base al campo
+    label_text = 'Accumulo Neve (cm)'
+    if data_field == "snow_past_12h":
+        label_text = 'Accumulo Neve Ultime 12h (cm)'
+    elif data_field == "snow_next_24h":
+        label_text = 'Accumulo Neve Prossime 24h (cm)'
+    
+    cbar = plt.colorbar(scatter, ax=ax, label=label_text, 
+                       shrink=0.7, pad=0.02, location='right')
+    cbar.ax.set_ylabel(label_text, fontsize=11, fontweight='bold')
+    cbar.ax.tick_params(labelsize=9)
+    
+    # Configura assi (etichette)
+    ax.set_xlabel('Longitudine (°E)', fontsize=12, fontweight='bold')
+    ax.set_ylabel('Latitudine (°N)', fontsize=12, fontweight='bold')
+    title = f'❄️ SNOW RADAR - Analisi Neve 30km da San Marino{title_suffix}'
+    ax.set_title(title, fontsize=15, fontweight='bold', pad=20)
+    
+    # Griglia solo se non c'è mappa di sfondo
+    if not CONTEXTILY_AVAILABLE:
+        ax.grid(True, alpha=0.3, linestyle='--', zorder=1)
+    
+    # Legenda spostata in basso a sinistra (non si sovrappone ai dati)
+    legend_elements = [
+        mpatches.Patch(facecolor='#1E90FF', label='0-1 cm'),
+        mpatches.Patch(facecolor='#32CD32', label='1-3 cm'),
+        mpatches.Patch(facecolor='#FFD700', label='3-5 cm'),
+        mpatches.Patch(facecolor='#FF8C00', label='5-10 cm'),
+        mpatches.Patch(facecolor='#FF4500', label='10-20 cm'),
+        mpatches.Patch(facecolor='#8B0000', label='>20 cm'),
+    ]
+    ax.legend(handles=legend_elements, loc='lower left', fontsize=10, 
+             framealpha=0.95, edgecolor='black', fancybox=True, shadow=True)
+    
+    # Info timestamp spostata in alto a destra
+    now = now_local()
+    info_text = f"Aggiornamento: {now.strftime('%d/%m/%Y %H:%M')}\nLocalità con neve: {len(results)}"
+    ax.text(0.98, 0.98, info_text, transform=ax.transAxes, 
+           fontsize=9, verticalalignment='top', horizontalalignment='right',
+           bbox=dict(boxstyle='round,pad=0.5', facecolor='white', alpha=0.9, 
+                    edgecolor='gray', linewidth=1.5),
+           zorder=10)
+    
+    plt.tight_layout()
+    
+    # Salva
+    try:
+        plt.savefig(output_path, dpi=150, bbox_inches='tight', facecolor='white')
+        plt.close(fig)
+        LOGGER.info("Mappa salvata: %s", output_path)
+        return True
+    except Exception as e:
+        LOGGER.exception("Errore salvataggio mappa: %s", e)
+        plt.close(fig)
+        return False
+
+
+def telegram_send_photo(photo_path: str, caption: str, chat_ids: Optional[List[str]] = None) -> bool:
+    """
+    Invia foto via Telegram API.
+    
+    Args:
+        photo_path: Percorso file immagine
+        caption: Didascalia foto (max 1024 caratteri)
+        chat_ids: Lista chat IDs (default: TELEGRAM_CHAT_IDS)
+    
+    Returns:
+        True se inviata con successo, False altrimenti
+    """
+    token = load_bot_token()
+    if not token:
+        LOGGER.warning("Telegram token missing: photo not sent.")
+        return False
+    
+    if not os.path.exists(photo_path):
+        LOGGER.error("File foto non trovato: %s", photo_path)
+        return False
+    
+    if chat_ids is None:
+        chat_ids = TELEGRAM_CHAT_IDS
+    
+    url = f"https://api.telegram.org/bot{token}/sendPhoto"
+    
+    # Limite Telegram per caption: 1024 caratteri
+    if len(caption) > 1024:
+        caption = caption[:1021] + "..."
+    
+    sent_ok = False
+    with requests.Session() as s:
+        for chat_id in chat_ids:
+            try:
+                with open(photo_path, 'rb') as photo_file:
+                    files = {'photo': photo_file}
+                    data = {
+                        'chat_id': chat_id,
+                        'caption': caption,
+                        'parse_mode': 'Markdown'
+                    }
+                    resp = s.post(url, files=files, data=data, timeout=30)
+                    if resp.status_code == 200:
+                        sent_ok = True
+                        LOGGER.info("Foto inviata a chat_id=%s", chat_id)
+                    else:
+                        LOGGER.error("Telegram error chat_id=%s status=%s body=%s",
+                                     chat_id, resp.status_code, resp.text[:500])
+                time.sleep(0.5)
+            except Exception as e:
+                LOGGER.exception("Telegram exception chat_id=%s err=%s", chat_id, e)
+    
+    return sent_ok
+
+
+# =============================================================================
+# Telegram
+# =============================================================================
+def telegram_send_markdown(message_md: str, chat_ids: Optional[List[str]] = None) -> bool:
+    """Invia messaggio Markdown su Telegram. Divide in più messaggi se troppo lungo."""
+    token = load_bot_token()
+    if not token:
+        LOGGER.warning("Telegram token missing: message not sent.")
+        return False
+
+    if chat_ids is None:
+        chat_ids = TELEGRAM_CHAT_IDS
+
+    # Telegram limite: 4096 caratteri per messaggio
+    MAX_MESSAGE_LENGTH = 4000  # Lascia margine per encoding
+    
+    url = f"https://api.telegram.org/bot{token}/sendMessage"
+    
+    # Se il messaggio è troppo lungo, dividilo
+    if len(message_md) <= MAX_MESSAGE_LENGTH:
+        messages = [message_md]
+    else:
+        # Dividi per righe, mantenendo l'header nel primo messaggio
+        lines = message_md.split('\n')
+        messages = []
+        current_msg = []
+        current_len = 0
+        
+        # Header (prime righe fino a "*Riepilogo per località*")
+        header_lines = []
+        header_end_idx = 0
+        for i, line in enumerate(lines):
+            if "*Riepilogo per località" in line:
+                header_end_idx = i + 1
+                break
+            header_lines.append(line)
+        
+        header = '\n'.join(header_lines)
+        header_len = len(header)
+        
+        # Primo messaggio: header + prime località
+        current_msg = header_lines.copy()
+        current_len = header_len
+        
+        for i in range(header_end_idx, len(lines)):
+            line = lines[i]
+            line_len = len(line) + 1  # +1 per \n
+            
+            if current_len + line_len > MAX_MESSAGE_LENGTH:
+                # Chiudi messaggio corrente
+                messages.append('\n'.join(current_msg))
+                # Nuovo messaggio (solo continuazione)
+                current_msg = [line]
+                current_len = line_len
+            else:
+                current_msg.append(line)
+                current_len += line_len
+        
+        # Aggiungi ultimo messaggio
+        if current_msg:
+            messages.append('\n'.join(current_msg))
+    
+    sent_ok = False
+    with requests.Session() as s:
+        for chat_id in chat_ids:
+            for msg_idx, msg_text in enumerate(messages):
+                payload = {
+                    "chat_id": chat_id,
+                    "text": msg_text,
+                    "parse_mode": "Markdown",
+                    "disable_web_page_preview": True,
+                }
+                try:
+                    resp = s.post(url, json=payload, timeout=15)
+                    if resp.status_code == 200:
+                        sent_ok = True
+                    else:
+                        LOGGER.error("Telegram error chat_id=%s status=%s body=%s",
+                                     chat_id, resp.status_code, resp.text[:500])
+                    time.sleep(0.25)
+                except Exception as e:
+                    LOGGER.exception("Telegram exception chat_id=%s err=%s", chat_id, e)
+
+    return sent_ok
+
+
+# =============================================================================
+# Main
+# =============================================================================
+def main(chat_ids: Optional[List[str]] = None, debug_mode: bool = False, chat_id: Optional[str] = None) -> None:
+    LOGGER.info("--- Snow Radar ---")
+    
+    # Se chat_id è specificato, usa quello (per chiamate da Telegram)
+    if chat_id:
+        chat_ids = [chat_id]
+    elif debug_mode and not chat_ids:
+        # In debug mode, default al primo chat ID (admin)
+        chat_ids = [TELEGRAM_CHAT_IDS[0]]
+    
+    now = now_local()
+    
+    # Centro: San Marino (per calcolo distanze)
+    CENTER_LAT = 43.9356
+    CENTER_LON = 12.4296
+    
+    # Analizza località predefinite
+    LOGGER.info("Analisi %d località predefinite...", len(LOCATIONS))
+    with requests.Session() as session:
+        results = []
+        for i, loc in enumerate(LOCATIONS):
+            # Calcola distanza da San Marino
+            distance_km = calculate_distance_km(CENTER_LAT, CENTER_LON, loc["lat"], loc["lon"])
+            
+            LOGGER.debug("Analizzando località %d/%d: %s (%.2f km)", i+1, len(LOCATIONS), loc["name"], distance_km)
+            
+            data = get_forecast(session, loc["lat"], loc["lon"])
+            if not data:
+                continue
+            
+            snow_analysis = analyze_snowfall_for_location(data, now)
+            if not snow_analysis:
+                continue
+            
+            # Aggiungi sempre Casa, anche se non c'è neve
+            # Per le altre località, aggiungi solo se c'è neve (passata o prevista)
+            is_casa = loc["name"] == "Casa (Strada Cà Toro)"
+            has_snow = (snow_analysis["snow_past_12h"] > 0.0 or 
+                       snow_analysis["snow_next_12h"] > 0.0 or 
+                       snow_analysis["snow_next_24h"] > 0.0)
+            
+            if is_casa or has_snow:
+                results.append({
+                    "name": loc["name"],
+                    "lat": loc["lat"],
+                    "lon": loc["lon"],
+                    "distance_km": distance_km,
+                    **snow_analysis
+                })
+            
+            # Rate limiting per Open-Meteo
+            time.sleep(0.1)
+        
+        if not results:
+            LOGGER.info("Nessuna neve rilevata nelle località monitorate")
+            if debug_mode:
+                message = "❄️ *SNOW RADAR*\n\nNessuna neve rilevata nelle località monitorate."
+                telegram_send_markdown(message, chat_ids=chat_ids)
+            return
+        
+        # Genera e invia DUE mappe separate
+        now_str = now.strftime('%d/%m/%Y %H:%M')
+        
+        # 1. Mappa snowfall passato (12h precedenti)
+        map_path_past = os.path.join(BASE_DIR, "snow_radar_past.png")
+        map_generated_past = generate_snow_map(results, CENTER_LAT, CENTER_LON, map_path_past,
+                                              data_field="snow_past_12h", 
+                                              title_suffix=" - Ultime 12h")
+        if map_generated_past:
+            caption_past = (
+                f"❄️ *SNOW RADAR - Ultime 12h*\n"
+                f"📍 Centro: San Marino\n"
+                f"🕒 {now_str}\n"
+                f"📊 Località con neve: {len(results)}/{len(LOCATIONS)}"
+            )
+            telegram_send_photo(map_path_past, caption_past, chat_ids=chat_ids)
+            # Pulisci file temporaneo
+            try:
+                if os.path.exists(map_path_past):
+                    os.remove(map_path_past)
+            except Exception:
+                pass
+        
+        # 2. Mappa snowfall futuro (24h successive)
+        map_path_future = os.path.join(BASE_DIR, "snow_radar_future.png")
+        map_generated_future = generate_snow_map(results, CENTER_LAT, CENTER_LON, map_path_future,
+                                                 data_field="snow_next_24h",
+                                                 title_suffix=" - Prossime 24h")
+        if map_generated_future:
+            caption_future = (
+                f"❄️ *SNOW RADAR - Prossime 24h*\n"
+                f"📍 Centro: San Marino\n"
+                f"🕒 {now_str}\n"
+                f"📊 Località con neve: {len(results)}/{len(LOCATIONS)}"
+            )
+            telegram_send_photo(map_path_future, caption_future, chat_ids=chat_ids)
+            # Pulisci file temporaneo
+            try:
+                if os.path.exists(map_path_future):
+                    os.remove(map_path_future)
+            except Exception:
+                pass
+        
+        if map_generated_past or map_generated_future:
+            LOGGER.info("Mappe inviate con successo (%d località, passato: %s, futuro: %s)", 
+                       len(results), "sì" if map_generated_past else "no", 
+                       "sì" if map_generated_future else "no")
+        else:
+            LOGGER.error("Errore generazione mappe")
+
+
+if __name__ == "__main__":
+    arg_parser = argparse.ArgumentParser(description="Snow Radar - Analisi neve in griglia 30km")
+    arg_parser.add_argument("--debug", action="store_true", help="Invia messaggi solo all'admin (chat ID: %s)" % TELEGRAM_CHAT_IDS[0])
+    arg_parser.add_argument("--chat_id", type=str, help="Chat ID specifico per invio messaggio (override debug mode)")
+    args = arg_parser.parse_args()
+    
+    # Se --chat_id è specificato, usa quello; altrimenti usa logica debug
+    chat_id = args.chat_id if args.chat_id else None
+    chat_ids = None if chat_id else ([TELEGRAM_CHAT_IDS[0]] if args.debug else None)
+    
+    main(chat_ids=chat_ids, debug_mode=args.debug, chat_id=chat_id)

services/telegram-bot/student_alert.py

@@ -1,6 +1,7 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 
+import argparse
 import datetime
 import html
 import json
@@ -36,6 +37,8 @@ SOGLIA_PIOGGIA_3H_MM = 30.0   # mm in 3 ore (rolling)
 PERSIST_HOURS = 2             # persistenza minima (ore)
 HOURS_AHEAD = 24
 SNOW_HOURLY_EPS_CM = 0.2      # Soglia minima neve cm/h
+# Codici meteo che indicano neve (WMO)
+SNOW_WEATHER_CODES = [71, 73, 75, 77, 85, 86]  # Neve leggera, moderata, forte, granelli, rovesci
 
 # File di stato
 STATE_FILE = "/home/daniely/docker/telegram-bot/student_state.json"
@@ -53,10 +56,12 @@ POINTS = [
 
 # ----------------- OPEN-METEO -----------------
 OPEN_METEO_URL = "https://api.open-meteo.com/v1/forecast"
-TZ = "Europe/Rome"
+TZ = "Europe/Berlin"
 TZINFO = ZoneInfo(TZ)
-HTTP_HEADERS = {"User-Agent": "rpi-student-alert/1.0"}
-MODEL = "meteofrance_arome_france_hd"
+HTTP_HEADERS = {"User-Agent": "rpi-student-alert/2.0"}
+MODEL_AROME = "meteofrance_seamless"
+MODEL_ICON_IT = "italia_meteo_arpae_icon_2i"
+COMPARISON_THRESHOLD = 0.30  # 30% scostamento per comparazione
 
 # ----------------- LOG -----------------
 BASE_DIR = os.path.dirname(os.path.abspath(__file__))
@@ -132,12 +137,20 @@ def hhmm(dt: datetime.datetime) -> str:
 # =============================================================================
 # Telegram
 # =============================================================================
-def telegram_send_html(message_html: str) -> bool:
+def telegram_send_html(message_html: str, chat_ids: Optional[List[str]] = None) -> bool:
+    """
+    Args:
+        message_html: Messaggio HTML da inviare
+        chat_ids: Lista di chat IDs (default: TELEGRAM_CHAT_IDS)
+    """
     token = load_bot_token()
     if not token:
         LOGGER.warning("Telegram token missing: message not sent.")
         return False
 
+    if chat_ids is None:
+        chat_ids = TELEGRAM_CHAT_IDS
+
     url = f"https://api.telegram.org/bot{token}/sendMessage"
     base_payload = {
         "text": message_html,
@@ -147,7 +160,7 @@ def telegram_send_html(message_html: str) -> bool:
 
     sent_ok = False
     with requests.Session() as s:
-        for chat_id in TELEGRAM_CHAT_IDS:
+        for chat_id in chat_ids:
             payload = dict(base_payload)
             payload["chat_id"] = chat_id
             try:
@@ -193,24 +206,130 @@ def save_state(alert_active: bool, signature: str) -> None:
         LOGGER.exception("State write error: %s", e)
 
 
-def get_forecast(session: requests.Session, lat: float, lon: float) -> Optional[Dict]:
+def get_forecast(session: requests.Session, lat: float, lon: float, model: str) -> Optional[Dict]:
     params = {
         "latitude": lat,
         "longitude": lon,
-        "hourly": "precipitation,snowfall",
+        "hourly": "precipitation,snowfall,weathercode",  # Aggiunto weathercode per rilevare neve
         "timezone": TZ,
         "forecast_days": 2,
         "precipitation_unit": "mm",
-        "models": MODEL,
+        "models": model,
     }
+    
+    # Aggiungi minutely_15 per AROME Seamless (dettaglio 15 minuti per inizio preciso eventi)
+    # Se fallisce o ha buchi, riprova senza minutely_15
+    if model == MODEL_AROME:
+        params["minutely_15"] = "precipitation,rain,snowfall,precipitation_probability,temperature_2m"
     try:
         r = session.get(OPEN_METEO_URL, params=params, headers=HTTP_HEADERS, timeout=25)
         if r.status_code == 400:
+            # Se 400 e abbiamo minutely_15, riprova senza
+            if "minutely_15" in params and model == MODEL_AROME:
+                LOGGER.warning("Open-Meteo 400 con minutely_15 (model=%s), riprovo senza minutely_15", model)
+                params_no_minutely = params.copy()
+                del params_no_minutely["minutely_15"]
+                try:
+                    r2 = session.get(OPEN_METEO_URL, params=params_no_minutely, headers=HTTP_HEADERS, timeout=25)
+                    if r2.status_code == 200:
+                        return r2.json()
+                except Exception:
+                    pass
+            return None
+        elif r.status_code == 504:
+            # Gateway Timeout: se abbiamo minutely_15, riprova senza
+            if "minutely_15" in params and model == MODEL_AROME:
+                LOGGER.warning("Open-Meteo 504 Gateway Timeout con minutely_15 (model=%s), riprovo senza minutely_15", model)
+                params_no_minutely = params.copy()
+                del params_no_minutely["minutely_15"]
+                try:
+                    r2 = session.get(OPEN_METEO_URL, params=params_no_minutely, headers=HTTP_HEADERS, timeout=25)
+                    if r2.status_code == 200:
+                        return r2.json()
+                except Exception:
+                    pass
             return None
         r.raise_for_status()
-        return r.json()
+        data = r.json()
+        
+        # Verifica se minutely_15 ha buchi (anche solo 1 None = fallback a hourly)
+        if "minutely_15" in params and model == MODEL_AROME:
+            minutely = data.get("minutely_15", {}) or {}
+            minutely_times = minutely.get("time", []) or []
+            minutely_precip = minutely.get("precipitation", []) or []
+            minutely_snow = minutely.get("snowfall", []) or []
+            
+            # Controlla se ci sono buchi (anche solo 1 None)
+            if minutely_times:
+                # Controlla tutti i parametri principali per buchi
+                has_holes = False
+                # Controlla precipitation
+                if minutely_precip and any(v is None for v in minutely_precip):
+                    has_holes = True
+                # Controlla snowfall
+                if minutely_snow and any(v is None for v in minutely_snow):
+                    has_holes = True
+                
+                if has_holes:
+                    LOGGER.warning("minutely_15 ha buchi (valori None rilevati, model=%s), riprovo senza minutely_15", model)
+                    params_no_minutely = params.copy()
+                    del params_no_minutely["minutely_15"]
+                    try:
+                        r2 = session.get(OPEN_METEO_URL, params=params_no_minutely, headers=HTTP_HEADERS, timeout=25)
+                        if r2.status_code == 200:
+                            return r2.json()
+                    except Exception:
+                        pass
+        
+        return data
+    except requests.exceptions.Timeout:
+        # Timeout: se abbiamo minutely_15, riprova senza
+        if "minutely_15" in params and model == MODEL_AROME:
+            LOGGER.warning("Open-Meteo Timeout con minutely_15 (model=%s), riprovo senza minutely_15", model)
+            params_no_minutely = params.copy()
+            del params_no_minutely["minutely_15"]
+            try:
+                r2 = session.get(OPEN_METEO_URL, params=params_no_minutely, headers=HTTP_HEADERS, timeout=25)
+                if r2.status_code == 200:
+                    return r2.json()
+            except Exception:
+                pass
+        LOGGER.exception("Open-Meteo timeout (model=%s)", model)
+        return None
     except Exception as e:
-        LOGGER.exception("Open-Meteo request error: %s", e)
+        # Altri errori: se abbiamo minutely_15, riprova senza
+        if "minutely_15" in params and model == MODEL_AROME:
+            LOGGER.warning("Open-Meteo error con minutely_15 (model=%s): %s, riprovo senza minutely_15", model, str(e))
+            params_no_minutely = params.copy()
+            del params_no_minutely["minutely_15"]
+            try:
+                r2 = session.get(OPEN_METEO_URL, params=params_no_minutely, headers=HTTP_HEADERS, timeout=25)
+                if r2.status_code == 200:
+                    return r2.json()
+            except Exception:
+                pass
+        LOGGER.exception("Open-Meteo request error (model=%s): %s", model, e)
+        return None
+
+
+def compare_values(arome_val: float, icon_val: float) -> Optional[Dict]:
+    """Confronta due valori e ritorna info se scostamento >30%"""
+    if arome_val == 0 and icon_val == 0:
+        return None
+    
+    if arome_val > 0:
+        diff_pct = abs(icon_val - arome_val) / arome_val
+    elif icon_val > 0:
+        diff_pct = abs(arome_val - icon_val) / icon_val
+    else:
+        return None
+    
+    if diff_pct > COMPARISON_THRESHOLD:
+        return {
+            "diff_pct": diff_pct * 100,
+            "arome": arome_val,
+            "icon": icon_val
+        }
         return None
 
 
@@ -272,6 +391,7 @@ def compute_stats(data: Dict) -> Optional[Dict]:
     times = hourly.get("time", []) or []
     precip = hourly.get("precipitation", []) or []
     snow = hourly.get("snowfall", []) or []
+    weathercode = hourly.get("weathercode", []) or []  # Per rilevare neve anche quando snowfall è basso
 
     n = min(len(times), len(precip), len(snow))
     if n == 0: return None
@@ -289,7 +409,8 @@ def compute_stats(data: Dict) -> Optional[Dict]:
 
     times_w = times[start_idx:end_idx]
     precip_w = precip[start_idx:end_idx]
-    snow_w = snow[start_idx:end_idx]
+    snow_w = [float(x) if x is not None else 0.0 for x in snow[start_idx:end_idx]]
+    weathercode_w = [int(x) if x is not None else None for x in weathercode[start_idx:end_idx]] if len(weathercode) > start_idx else []
     dt_w = [parse_time_to_local(t) for t in times_w]
 
     rain3 = rolling_sum_3h(precip_w)
@@ -302,11 +423,98 @@ def compute_stats(data: Dict) -> Optional[Dict]:
     )
     rain_persist_time = hhmm(dt_w[rain_run_start]) if (rain_persist_ok and rain_run_start < len(dt_w)) else ""
 
+    # Analizza evento pioggia completa (48h): rileva inizio e calcola durata e accumulo totale
+    rain_start_idx = None
+    rain_end_idx = None
+    total_rain_accumulation = 0.0
+    rain_duration_hours = 0.0
+    max_rain_intensity = 0.0
+    
+    # Codici meteo che indicano pioggia (WMO)
+    RAIN_WEATHER_CODES = [61, 63, 65, 66, 67, 80, 81, 82]
+    
+    # Trova inizio evento pioggia (prima occorrenza con precipitation > 0 OPPURE weathercode pioggia)
+    # Estendi l'analisi a 48 ore se disponibile
+    extended_end_idx = min(start_idx + 48, n)  # Estendi a 48 ore
+    precip_extended = precip[start_idx:extended_end_idx]
+    weathercode_extended = [int(x) if x is not None else None for x in weathercode[start_idx:extended_end_idx]] if len(weathercode) > start_idx else []
+    
+    for i, (p_val, code) in enumerate(zip(precip_extended, weathercode_extended if len(weathercode_extended) == len(precip_extended) else [None] * len(precip_extended))):
+        p_val_float = float(p_val) if p_val is not None else 0.0
+        is_rain = (p_val_float > 0.0) or (code is not None and code in RAIN_WEATHER_CODES)
+        if is_rain and rain_start_idx is None:
+            rain_start_idx = i
+            break
+    
+    # Se trovato inizio, calcola durata e accumulo totale su 48 ore
+    if rain_start_idx is not None:
+        # Trova fine evento pioggia (ultima occorrenza con pioggia)
+        for i in range(len(precip_extended) - 1, rain_start_idx - 1, -1):
+            p_val = precip_extended[i] if i < len(precip_extended) else None
+            code = weathercode_extended[i] if i < len(weathercode_extended) else None
+            p_val_float = float(p_val) if p_val is not None else 0.0
+            is_rain = (p_val_float > 0.0) or (code is not None and code in RAIN_WEATHER_CODES)
+            if is_rain:
+                rain_end_idx = i
+                break
+        
+        if rain_end_idx is not None:
+            # Calcola durata
+            times_extended = times[start_idx:extended_end_idx]
+            dt_extended = [parse_time_to_local(t) for t in times_extended]
+            if rain_end_idx < len(dt_extended) and rain_start_idx < len(dt_extended):
+                rain_duration_hours = (dt_extended[rain_end_idx] - dt_extended[rain_start_idx]).total_seconds() / 3600.0
+            # Calcola accumulo totale (somma di tutti i precipitation > 0)
+            total_rain_accumulation = sum(float(p) for p in precip_extended[rain_start_idx:rain_end_idx+1] if p is not None and float(p) > 0.0)
+            # Calcola intensità massima oraria
+            max_rain_intensity = max((float(p) for p in precip_extended[rain_start_idx:rain_end_idx+1] if p is not None), default=0.0)
+
+    # Analizza nevicata completa (48h): rileva inizio usando snowfall > 0 OPPURE weathercode
+    # Calcola durata e accumulo totale
+    snow_start_idx = None
+    snow_end_idx = None
+    total_snow_accumulation = 0.0
+    snow_duration_hours = 0.0
+    
+    # Trova inizio nevicata (prima occorrenza con snowfall > 0 OPPURE weathercode neve)
+    for i, (s_val, code) in enumerate(zip(snow_w, weathercode_w if len(weathercode_w) == len(snow_w) else [None] * len(snow_w))):
+        is_snow = (s_val > 0.0) or (code is not None and code in SNOW_WEATHER_CODES)
+        if is_snow and snow_start_idx is None:
+            snow_start_idx = i
+            break
+    
+    # Se trovato inizio, calcola durata e accumulo totale
+    if snow_start_idx is not None:
+        # Trova fine nevicata (ultima occorrenza con neve)
+        for i in range(len(snow_w) - 1, snow_start_idx - 1, -1):
+            s_val = snow_w[i]
+            code = weathercode_w[i] if i < len(weathercode_w) else None
+            is_snow = (s_val > 0.0) or (code is not None and code in SNOW_WEATHER_CODES)
+            if is_snow:
+                snow_end_idx = i
+                break
+        
+        if snow_end_idx is not None:
+            # Calcola durata
+            snow_duration_hours = (dt_w[snow_end_idx] - dt_w[snow_start_idx]).total_seconds() / 3600.0
+            # Calcola accumulo totale (somma di tutti i snowfall > 0)
+            total_snow_accumulation = sum(s for s in snow_w[snow_start_idx:snow_end_idx+1] if s > 0.0)
+    
+    # Per compatibilità con logica esistente
     snow_run_len, snow_run_start = max_consecutive_gt(snow_w, eps=SNOW_HOURLY_EPS_CM)
     snow_run_time = hhmm(dt_w[snow_run_start]) if (snow_run_start >= 0 and snow_run_start < len(dt_w)) else ""
 
-    snow_12h = sum(float(x) for x in snow_w[:min(12, len(snow_w))] if x is not None)
-    snow_24h = sum(float(x) for x in snow_w[:min(24, len(snow_w))] if x is not None)
+    # Se trovato inizio nevicata, usa quello invece del run
+    if snow_start_idx is not None:
+        snow_run_time = hhmm(dt_w[snow_start_idx])
+        # Durata minima per alert: almeno 2 ore
+        if snow_duration_hours >= PERSIST_HOURS:
+            snow_run_len = int(snow_duration_hours)
+        else:
+            snow_run_len = 0  # Durata troppo breve
+
+    snow_12h = sum(s for s in snow_w[:min(12, len(snow_w))] if s > 0.0)
+    snow_24h = sum(s for s in snow_w[:min(24, len(snow_w))] if s > 0.0)
 
     return {
         "rain3_max": float(rain3_max),
@@ -315,10 +523,15 @@ def compute_stats(data: Dict) -> Optional[Dict]:
         "rain_persist_time": rain_persist_time,
         "rain_persist_run_max": float(rain_run_max),
         "rain_persist_run_len": int(rain_run_len),
+        "rain_duration_hours": float(rain_duration_hours),
+        "total_rain_accumulation_mm": float(total_rain_accumulation),
+        "max_rain_intensity_mm_h": float(max_rain_intensity),
         "snow_run_len": int(snow_run_len),
         "snow_run_time": snow_run_time,
         "snow_12h": float(snow_12h),
         "snow_24h": float(snow_24h),
+        "snow_duration_hours": float(snow_duration_hours),
+        "total_snow_accumulation_cm": float(total_snow_accumulation),
     }
 
 
@@ -338,6 +551,9 @@ def point_alerts(point_name: str, stats: Dict) -> Dict:
         "rain_persist_time": stats["rain_persist_time"],
         "rain_persist_run_max": stats["rain_persist_run_max"],
         "rain_persist_run_len": stats["rain_persist_run_len"],
+        "rain_duration_hours": stats.get("rain_duration_hours", 0.0),
+        "total_rain_accumulation_mm": stats.get("total_rain_accumulation_mm", 0.0),
+        "max_rain_intensity_mm_h": stats.get("max_rain_intensity_mm_h", 0.0),
     }
 
 
@@ -354,32 +570,54 @@ def build_signature(bologna: Dict, route: List[Dict]) -> str:
     return "|".join(parts)
 
 
-def main() -> None:
+def main(chat_ids: Optional[List[str]] = None, debug_mode: bool = False) -> None:
     LOGGER.info("--- Student alert Bologna (Neve/Pioggia intensa) ---")
 
     state = load_state()
     was_active = bool(state.get("alert_active", False))
     last_sig = state.get("signature", "")
 
+    comparisons: Dict[str, Dict] = {}  # point_name -> comparison info
+
     with requests.Session() as session:
         # Trigger: Bologna
         bo = POINTS[0]
-        bo_data = get_forecast(session, bo["lat"], bo["lon"])
-        if not bo_data: return
-        bo_stats = compute_stats(bo_data)
-        if not bo_stats:
+        bo_data_arome = get_forecast(session, bo["lat"], bo["lon"], MODEL_AROME)
+        if not bo_data_arome: return
+        bo_stats_arome = compute_stats(bo_data_arome)
+        if not bo_stats_arome:
             LOGGER.error("Impossibile calcolare statistiche Bologna.")
             return
-        bo_alerts = point_alerts(bo["name"], bo_stats)
+        bo_alerts = point_alerts(bo["name"], bo_stats_arome)
+        
+        # Recupera ICON Italia per Bologna
+        bo_data_icon = get_forecast(session, bo["lat"], bo["lon"], MODEL_ICON_IT)
+        if bo_data_icon:
+            bo_stats_icon = compute_stats(bo_data_icon)
+            if bo_stats_icon:
+                comp_snow = compare_values(bo_stats_arome["snow_24h"], bo_stats_icon["snow_24h"])
+                comp_rain = compare_values(bo_stats_arome["rain3_max"], bo_stats_icon["rain3_max"])
+                if comp_snow or comp_rain:
+                    comparisons[bo["name"]] = {"snow": comp_snow, "rain": comp_rain, "icon_stats": bo_stats_icon}
 
         # Route points
         route_alerts: List[Dict] = []
         for p in POINTS[1:]:
-            d = get_forecast(session, p["lat"], p["lon"])
-            if not d: continue
-            st = compute_stats(d)
-            if not st: continue
-            route_alerts.append(point_alerts(p["name"], st))
+            d_arome = get_forecast(session, p["lat"], p["lon"], MODEL_AROME)
+            if not d_arome: continue
+            st_arome = compute_stats(d_arome)
+            if not st_arome: continue
+            route_alerts.append(point_alerts(p["name"], st_arome))
+            
+            # Recupera ICON Italia per punto
+            d_icon = get_forecast(session, p["lat"], p["lon"], MODEL_ICON_IT)
+            if d_icon:
+                st_icon = compute_stats(d_icon)
+                if st_icon:
+                    comp_snow = compare_values(st_arome["snow_24h"], st_icon["snow_24h"])
+                    comp_rain = compare_values(st_arome["rain3_max"], st_icon["rain3_max"])
+                    if comp_snow or comp_rain:
+                        comparisons[p["name"]] = {"snow": comp_snow, "rain": comp_rain, "icon_stats": st_icon}
 
     any_route_alert = any(x["snow_alert"] or x["rain_alert"] for x in route_alerts)
     any_alert = (bo_alerts["snow_alert"] or bo_alerts["rain_alert"] or any_route_alert)
@@ -388,7 +626,10 @@ def main() -> None:
 
     # --- Scenario A: Allerta ---
     if any_alert:
-        if (not was_active) or (sig != last_sig):
+        # In modalità debug, bypassa controlli anti-spam
+        if debug_mode:
+            LOGGER.info("[DEBUG MODE] Bypass anti-spam: invio forzato")
+        if debug_mode or (not was_active) or (sig != last_sig):
             now_str = now_local().strftime("%H:%M")
             header_icon = "❄️" if (bo_alerts["snow_alert"] or any(x["snow_alert"] for x in route_alerts)) \
                 else "🌧️" if (bo_alerts["rain_alert"] or any(x["rain_alert"] for x in route_alerts)) \
@@ -397,20 +638,38 @@ def main() -> None:
             msg: List[str] = []
             msg.append(f"{header_icon} <b>ALLERTA METEO (Bologna / Rientro)</b>")
             msg.append(f"🕒 <i>Aggiornamento ore {html.escape(now_str)}</i>")
-            msg.append(f"🛰️ <code>Modello: {html.escape(MODEL)}</code>")
+            model_info = MODEL_AROME
+            if comparisons:
+                model_info = f"{MODEL_AROME} + ICON Italia (discordanza rilevata)"
+            msg.append(f"🛰️ <code>Modello: {html.escape(model_info)}</code>")
             msg.append(f"⏱️ <code>Finestra: {HOURS_AHEAD} ore | Persistenza: {PERSIST_HOURS} ore</code>")
             msg.append("")
 
             # Bologna
             msg.append("🎓 <b>A BOLOGNA</b>")
+            bo_comp = comparisons.get(bo["name"])
             if bo_alerts["snow_alert"]:
                 msg.append(f"❄️ Neve (≥{PERSIST_HOURS}h) da ~<b>{html.escape(bo_alerts['snow_run_time'] or '—')}</b> (run ~{bo_alerts['snow_run_len']}h).")
                 msg.append(f"• Accumulo: 12h <b>{bo_alerts['snow_12h']:.1f} cm</b> | 24h <b>{bo_alerts['snow_24h']:.1f} cm</b>")
+                if bo_comp and bo_comp.get("snow"):
+                    comp = bo_comp["snow"]
+                    icon_s24 = bo_comp["icon_stats"]["snow_24h"]
+                    msg.append(f"⚠️ <b>Discordanza modelli</b>: AROME {comp['arome']:.1f} cm | ICON {icon_s24:.1f} cm (scostamento {comp['diff_pct']:.0f}%)")
             else:
                 msg.append(f"❄️ Neve: nessuna persistenza ≥ {PERSIST_HOURS}h (24h {bo_alerts['snow_24h']:.1f} cm).")
 
             if bo_alerts["rain_alert"]:
+                rain_duration = bo_alerts.get("rain_duration_hours", 0.0)
+                total_rain = bo_alerts.get("total_rain_accumulation_mm", 0.0)
+                max_intensity = bo_alerts.get("max_rain_intensity_mm_h", 0.0)
+                
                 msg.append(f"🌧️ Pioggia molto forte (3h ≥ {SOGLIA_PIOGGIA_3H_MM:.0f} mm, ≥{PERSIST_HOURS}h) da ~<b>{html.escape(bo_alerts['rain_persist_time'] or '—')}</b>.")
+                if rain_duration > 0:
+                    msg.append(f"⏱️ <b>Durata totale evento (48h):</b> ~{rain_duration:.0f} ore | <b>Accumulo totale:</b> ~{total_rain:.1f} mm | <b>Intensità max:</b> {max_intensity:.1f} mm/h")
+                if bo_comp and bo_comp.get("rain"):
+                    comp = bo_comp["rain"]
+                    icon_r3 = bo_comp["icon_stats"]["rain3_max"]
+                    msg.append(f"⚠️ <b>Discordanza modelli</b>: AROME {comp['arome']:.1f} mm | ICON {icon_r3:.1f} mm (scostamento {comp['diff_pct']:.0f}%)")
             else:
                 msg.append(f"🌧️ Pioggia: max 3h <b>{bo_alerts['rain3_max']:.1f} mm</b> (picco ~{html.escape(bo_alerts['rain3_max_time'] or '—')}).")
 
@@ -427,15 +686,35 @@ def main() -> None:
                     if x["snow_alert"]:
                         parts.append(f"❄️ neve (≥{PERSIST_HOURS}h) da ~{html.escape(x['snow_run_time'] or '—')} (24h {x['snow_24h']:.1f} cm)")
                     if x["rain_alert"]:
+                        rain_dur = x.get("rain_duration_hours", 0.0)
+                        rain_tot = x.get("total_rain_accumulation_mm", 0.0)
+                        if rain_dur > 0:
+                            parts.append(f"🌧️ pioggia forte da ~{html.escape(x['rain_persist_time'] or '—')} (durata ~{rain_dur:.0f}h, totale ~{rain_tot:.1f}mm)")
+                        else:
                         parts.append(f"🌧️ pioggia forte da ~{html.escape(x['rain_persist_time'] or '—')}")
                     line += " | ".join(parts)
                     msg.append(line)
+                    
+                    # Aggiungi nota discordanza se presente
+                    point_comp = comparisons.get(x["name"])
+                    if point_comp:
+                        disc_parts = []
+                        if point_comp.get("snow"):
+                            comp = point_comp["snow"]
+                            icon_s24 = point_comp["icon_stats"]["snow_24h"]
+                            disc_parts.append(f"Neve: AROME {comp['arome']:.1f} cm | ICON {icon_s24:.1f} cm ({comp['diff_pct']:.0f}%)")
+                        if point_comp.get("rain"):
+                            comp = point_comp["rain"]
+                            icon_r3 = point_comp["icon_stats"]["rain3_max"]
+                            disc_parts.append(f"Pioggia: AROME {comp['arome']:.1f} mm | ICON {icon_r3:.1f} mm ({comp['diff_pct']:.0f}%)")
+                        if disc_parts:
+                            msg.append(f"  ⚠️ Discordanza: {' | '.join(disc_parts)}")
 
             msg.append("")
             msg.append("<i>Fonte dati: Open-Meteo</i>")
 
             # FIX: usare \n invece di <br/>
-            ok = telegram_send_html("\n".join(msg))
+            ok = telegram_send_html("\n".join(msg), chat_ids=chat_ids)
             if ok:
                 LOGGER.info("Notifica inviata.")
             else:
@@ -457,7 +736,7 @@ def main() -> None:
             f"di neve (≥{PERSIST_HOURS}h) o pioggia 3h sopra soglia (≥{PERSIST_HOURS}h).\n"
             "<i>Fonte dati: Open-Meteo</i>"
         )
-        ok = telegram_send_html(msg)
+        ok = telegram_send_html(msg, chat_ids=chat_ids)
         if ok:
             LOGGER.info("Rientro notificato.")
         else:
@@ -471,4 +750,11 @@ def main() -> None:
 
 
 if __name__ == "__main__":
-    main()
+    arg_parser = argparse.ArgumentParser(description="Student alert Bologna")
+    arg_parser.add_argument("--debug", action="store_true", help="Invia messaggi solo all'admin (chat ID: %s)" % TELEGRAM_CHAT_IDS[0])
+    args = arg_parser.parse_args()
+    
+    # In modalità debug, invia solo al primo chat ID (admin) e bypassa anti-spam
+    chat_ids = [TELEGRAM_CHAT_IDS[0]] if args.debug else None
+    
+    main(chat_ids=chat_ids, debug_mode=args.debug)

services/telegram-bot/test_snow_chart_show.py

@@ -0,0 +1,164 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Script di test per generare e mostrare grafico neve con dati mock
+"""
+
+import datetime
+import os
+import sys
+from zoneinfo import ZoneInfo
+
+# Aggiungi il percorso dello script principale
+sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
+
+from arome_snow_alert import generate_snow_chart_image, TZINFO, telegram_send_photo, TELEGRAM_CHAT_IDS
+
+def create_mock_data():
+    """Crea dati mock realistici per test del grafico"""
+    now = datetime.datetime.now(TZINFO)
+    now = now.replace(minute=0, second=0, microsecond=0)
+    
+    # Genera 48 ore di dati orari
+    times = []
+    snowfall_arome = []
+    rain_arome = []
+    snowfall_icon = []
+    rain_icon = []
+    snow_depth_icon = []
+    
+    # Scenario realistico: nevicata nelle prime 24h, poi pioggia/neve mista
+    for i in range(48):
+        dt = now + datetime.timedelta(hours=i)
+        times.append(dt.isoformat())
+        
+        # AROME Seamless
+        # Simula nevicata nelle prime 18 ore
+        if i < 18:
+            # Picco di neve intorno alle 8-12 ore
+            if 8 <= i <= 12:
+                snowfall_arome.append(0.5 + (i - 8) * 0.2)  # 0.5-1.3 cm/h
+            elif 12 < i <= 15:
+                snowfall_arome.append(1.3 - (i - 12) * 0.2)  # Decresce
+            else:
+                snowfall_arome.append(0.2 + (i % 3) * 0.1)  # Variazione
+            rain_arome.append(0.0)
+        # Transizione a pioggia/neve mista
+        elif 18 <= i < 24:
+            snowfall_arome.append(0.1 + (i - 18) * 0.05)  # Neve residua
+            rain_arome.append(0.5 + (i - 18) * 0.3)  # Pioggia aumenta
+        # Pioggia
+        elif 24 <= i < 36:
+            snowfall_arome.append(0.0)
+            rain_arome.append(1.5 + (i - 24) % 4 * 0.5)  # Pioggia variabile
+        # Fine precipitazioni
+        else:
+            snowfall_arome.append(0.0)
+            rain_arome.append(0.0)
+        
+        # ICON Italia (leggermente diverso per mostrare discrepanze)
+        if i < 20:
+            # Neve più persistente in ICON
+            if 10 <= i <= 14:
+                snowfall_icon.append(0.6 + (i - 10) * 0.25)  # 0.6-1.6 cm/h
+            elif 14 < i <= 18:
+                snowfall_icon.append(1.6 - (i - 14) * 0.15)
+            else:
+                snowfall_icon.append(0.3 + (i % 3) * 0.15)
+            rain_icon.append(0.0)
+        elif 20 <= i < 28:
+            snowfall_icon.append(0.05)
+            rain_icon.append(0.8 + (i - 20) * 0.2)
+        elif 28 <= i < 38:
+            snowfall_icon.append(0.0)
+            rain_icon.append(2.0 + (i - 28) % 3 * 0.4)
+        else:
+            snowfall_icon.append(0.0)
+            rain_icon.append(0.0)
+        
+        # Snow depth (ICON Italia) - accumulo progressivo poi scioglimento
+        if i == 0:
+            snow_depth_icon.append(0.0)
+        elif i < 20:
+            # Accumulo progressivo
+            prev_depth = snow_depth_icon[-1] if snow_depth_icon else 0.0
+            new_snow = snowfall_icon[i] * 0.8  # 80% si accumula (perdite per compattazione)
+            snow_depth_icon.append(prev_depth + new_snow)
+        elif 20 <= i < 30:
+            # Scioglimento lento con pioggia
+            prev_depth = snow_depth_icon[-1] if snow_depth_icon else 0.0
+            melt = rain_icon[i] * 0.3  # Scioglimento proporzionale alla pioggia
+            snow_depth_icon.append(max(0.0, prev_depth - melt))
+        else:
+            # Scioglimento completo
+            snow_depth_icon.append(0.0)
+    
+    # Costruisci struttura dati come da Open-Meteo
+    data_arome = {
+        "hourly": {
+            "time": times,
+            "snowfall": snowfall_arome,
+            "rain": rain_arome
+        }
+    }
+    
+    data_icon = {
+        "hourly": {
+            "time": times,
+            "snowfall": snowfall_icon,
+            "rain": rain_icon,
+            "snow_depth": snow_depth_icon  # Già in cm (mock)
+        }
+    }
+    
+    return data_arome, data_icon
+
+
+def main():
+    print("Generazione dati mock...")
+    data_arome, data_icon = create_mock_data()
+    
+    print(f"Dati generati:")
+    print(f"  - AROME: {len(data_arome['hourly']['time'])} ore")
+    print(f"  - ICON: {len(data_icon['hourly']['time'])} ore")
+    print(f"  - Snow depth max: {max(data_icon['hourly']['snow_depth']):.1f} cm")
+    print(f"  - Snowfall AROME max: {max(data_arome['hourly']['snowfall']):.1f} cm/h")
+    print(f"  - Snowfall ICON max: {max(data_icon['hourly']['snowfall']):.1f} cm/h")
+    
+    # Percorso output
+    output_path = "/tmp/snow_chart_test.png"
+    
+    print(f"\nGenerazione grafico in {output_path}...")
+    success = generate_snow_chart_image(
+        data_arome,
+        data_icon,
+        output_path,
+        location_name="🏠 Casa (Test Mock)"
+    )
+    
+    if success:
+        print(f"✅ Grafico generato con successo!")
+        print(f"   File: {output_path}")
+        print(f"   Dimensione: {os.path.getsize(output_path) / 1024:.1f} KB")
+        
+        # Invio via Telegram
+        print(f"\nInvio via Telegram a {len(TELEGRAM_CHAT_IDS)} chat(s)...")
+        caption = "📊 <b>TEST Grafico Precipitazioni 48h</b>\n🏠 Casa (Test Mock)\n\nGrafico di test con dati mock per verificare la visualizzazione."
+        photo_ok = telegram_send_photo(output_path, caption, chat_ids=[TELEGRAM_CHAT_IDS[0]])  # Solo al primo chat ID per test
+        if photo_ok:
+            print(f"✅ Grafico inviato con successo su Telegram!")
+        else:
+            print(f"❌ Errore nell'invio su Telegram (verifica token)")
+        
+        # Mantieni il file per visualizzazione locale
+        print(f"\n💡 File disponibile anche localmente: {output_path}")
+        
+    else:
+        print("❌ Errore nella generazione del grafico")
+        return 1
+    
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())