Aggiorna script backup e bot meteo Telegram.

Co-authored-by: Cursor <cursoragent@cursor.com>
Backup automatico script del 2026-08-09 07:00
2026-08-21 11:57:29 +02:00 · 2026-08-09 07:00:02 +02:00 · 2026-08-02 07:00:02 +02:00 · 2026-07-26 07:00:01 +02:00
27 changed files with 1501 additions and 741 deletions
@@ -1,17 +1,35 @@
 global_defs {
    enable_script_security
    script_user root
 }
 vrrp_script chk_ha {
    script "/usr/local/sbin/keepalived-check-ha.sh"
    interval 5
    weight -30
    fall 3
    rise 2
    user root
 }
 vrrp_instance VI_1 {
-    state MASTER
+    state BACKUP
    interface eth0
    virtual_router_id 51
-    priority 101            # 101 = Priorità più alta (Master)
+    priority 101
    advert_int 1
    preempt_delay 30
    authentication {
        auth_type PASS
        auth_pass @Dedelove1
    }
    virtual_ipaddress {
-        192.168.128.85      # Il nostro VIP
+        192.168.128.85
    }
-    notify_master "/home/daniely/rete/scripts/ha-failover.sh assume-tier-a"
+    track_script {
-    notify_backup "/home/daniely/rete/scripts/ha-failover.sh release-tier-a"
+        chk_ha
-    notify_fault  "/home/daniely/rete/scripts/ha-failover.sh fault"
+    }
    notify_master "/usr/local/sbin/keepalived-notify-master.sh"
    notify_backup "/usr/local/sbin/keepalived-notify-backup.sh"
    notify_fault  "/usr/local/sbin/keepalived-notify-fault.sh"
 }
@@ -1,9 +1,24 @@
 global_defs {
    enable_script_security
    script_user root
 }
 vrrp_script chk_ha {
    script "/usr/local/sbin/keepalived-check-ha.sh"
    interval 5
    weight -30
    fall 3
    rise 2
    user root
 }
 vrrp_instance VI_1 {
    state BACKUP
    interface eth0
    virtual_router_id 51
-    priority 100            # 100 = Priorità più bassa (Backup)
+    priority 100
    advert_int 1
    preempt_delay 30
    authentication {
        auth_type PASS
        auth_pass @Dedelove1
@@ -11,7 +26,10 @@ vrrp_instance VI_1 {
    virtual_ipaddress {
        192.168.128.85
    }
-    notify_master "/home/daniely/rete/scripts/ha-failover.sh assume-tier-a"
+    track_script {
-    notify_backup "/home/daniely/rete/scripts/ha-failover.sh release-tier-a"
+        chk_ha
-    notify_fault  "/home/daniely/rete/scripts/ha-failover.sh fault"
+    }
    notify_master "/usr/local/sbin/keepalived-notify-master.sh"
    notify_backup "/usr/local/sbin/keepalived-notify-backup.sh"
    notify_fault  "/usr/local/sbin/keepalived-notify-fault.sh"
 }
@@ -3,3 +3,5 @@
 # DOCKER_IGNORE_IMAGES=("turni-app:live-latest")
 # REBOOT_ON_SUCCESS=false  # unico modo per saltare il reboot fisso di fine manutenzione
 # Cron consigliato: 0 4 * * 6 (nessun conflitto irrigazione, che gira su Pi2)
 # Immagini locali escluse da Watchtower via DOCKER_IGNORE_IMAGES nello script:
 #   turni-app:live-latest
@@ -4,3 +4,5 @@
 # CHECK_PIP3=true
 # DOCKER_IGNORE_IMAGES=("irrigazione:latest" "turni-app:beta-latest" "turni-app:alpha-latest")
 # Cron consigliato: 40 0 * * 6 (tra irrigazione serale ~19:30 e notturna ~02:30)
 # Immagini locali escluse da Watchtower via DOCKER_IGNORE_IMAGES nello script:
 #   irrigazione, turni-app:beta/alpha, meteo-alert, loogle-casa, ewelink_smart_home
@@ -1,57 +1,57 @@
 #!/bin/bash
 # Clona NPM master (Pi1) → backup Pi2 + clone dormiente DS920 (NPM3).
 # Su DS920: extract solo se extrema-npm NON è running (evita SQLite corrotto in B1).
 # Synology: SFTP spesso chrootato → verso DS920 si usa stream tar via SSH (non scp).
 set -euo pipefail
-# --- CONFIGURAZIONE ---
+REMOTE_IP="${REMOTE_IP:-192.168.128.81}"
-REMOTE_IP="192.168.128.81"
+REMOTE_USER="${REMOTE_USER:-daniely}"
-REMOTE_USER="daniely"
+DS920_IP="${DS920_IP:-192.168.128.100}"
-# Cartella che contiene 'data' e 'letsencrypt'
+DS920_USER="${DS920_USER:-daniely}"
-SOURCE_BASE="/home/daniely/docker/npm"
+DS920_NPM_ROOT="${DS920_NPM_ROOT:-/volume1/extrema/npm}"
-TEMP_FILE="/tmp/npm_full_clone.tar.gz"
+SOURCE_BASE="${SOURCE_BASE:-/home/daniely/docker/npm}"
 TEMP_FILE="${TEMP_FILE:-/tmp/npm_full_clone.tar.gz}"
-echo "[$(date)] Avvio clonazione totale NPM (Master -> Backup)..."
+log() { echo "[$(date '+%Y-%m-%d %H:%M:%S')] sync-npm: $*"; }
 log "Avvio clonazione NPM (Master → Pi2 + DS920)..."
 # 1. Crea un archivio compresso di TUTTO (Database SQL + Certificati)
 #    Usiamo sudo per leggere i file di root senza permessi negati
 #    Escludiamo i log per risparmiare spazio
 sudo tar --exclude='*.log' -czf "$TEMP_FILE" -C "$SOURCE_BASE" data letsencrypt
 sudo chown "${USER}:${USER}" "$TEMP_FILE"
-# 2. Assegna l'archivio all'utente corrente (per poterlo spedire via SCP)
+# --- Pi-2 (hot backup: stop/extract/start) ---
-sudo chown $USER:$USER "$TEMP_FILE"
+log "Invio archivio al Pi-2 ($REMOTE_IP)..."
-
+if scp -o ConnectTimeout=10 -o BatchMode=yes "$TEMP_FILE" "${REMOTE_USER}@${REMOTE_IP}:/tmp/npm_full_clone.tar.gz"; then
-# 3. Spedisce l'archivio al Pi-2
+  ssh -o ConnectTimeout=15 -o BatchMode=yes "${REMOTE_USER}@${REMOTE_IP}" bash -s <<'EOS'
-echo "Invio archivio al Pi-2 ($REMOTE_IP)..."
+set -e
-scp -o ConnectTimeout=10 "$TEMP_FILE" "$REMOTE_USER@$REMOTE_IP:/tmp/"
+echo "   ...Stop NPM..."
-
+docker stop npm 2>/dev/null || true
-if [ $? -eq 0 ]; then
+echo "   ...Estrazione dati..."
-    echo "Trasferimento riuscito. Applicazione sul Backup..."
+sudo rm -rf /home/daniely/docker/npm/data/* /home/daniely/docker/npm/letsencrypt/*
-    
+sudo tar -xzf /tmp/npm_full_clone.tar.gz -C /home/daniely/docker/npm/
-    # 4. Comanda al Pi-2 di:
+sudo chown -R root:root /home/daniely/docker/npm/
-    #    a) Arrestare NPM (per sbloccare il database)
+echo "   ...Start NPM..."
-    #    b) Scompattare sovrascrivendo tutto
+docker start npm
-    #    c) Ripristinare i permessi di root
+rm -f /tmp/npm_full_clone.tar.gz
-    #    d) Riavviare NPM
+EOS
-    ssh "$REMOTE_USER@$REMOTE_IP" "
+  log "Pi-2 sincronizzato OK"
        echo '   ...Stop NPM...';
        docker stop npm;
        echo '   ...Estrazione dati...';
        # Pulisce la cartella di destinazione prima di estrarre per evitare residui
        sudo rm -rf /home/daniely/docker/npm/data/*
        sudo rm -rf /home/daniely/docker/npm/letsencrypt/*
        sudo tar -xzf /tmp/npm_full_clone.tar.gz -C /home/daniely/docker/npm/;
        echo '   ...Fix Permessi...';
        sudo chown -R root:root /home/daniely/docker/npm/;
        echo '   ...Start NPM...';
        docker start npm;
        # Pulizia remota
        rm /tmp/npm_full_clone.tar.gz
    "
    echo "[$(date)] Sincronizzazione Completata con Successo."
 else
-    echo "[$(date)] ERRORE CRITICO: Trasferimento fallito."
+  log "ERRORE: trasferimento Pi-2 fallito"
 fi
 # --- DS920 NPM3 (dormiente) ---
 log "Stream archivio al DS920 ($DS920_IP)..."
 if ssh -o ConnectTimeout=15 -o BatchMode=yes "${DS920_USER}@${DS920_IP}" \
  "export PATH=/usr/local/bin:\$PATH; docker ps --format '{{.Names}}' 2>/dev/null | grep -qx extrema-npm"; then
  log "SKIP DS920: extrema-npm running (B1 armato) — sync al prossimo disarm"
 else
  if cat "$TEMP_FILE" | ssh -o ConnectTimeout=180 -o BatchMode=yes "${DS920_USER}@${DS920_IP}" \
    "export PATH=/usr/local/bin:\$PATH; NPM_ROOT=$(printf %q "$DS920_NPM_ROOT"); mkdir -p \"\$NPM_ROOT/data\" \"\$NPM_ROOT/letsencrypt\"; find \"\$NPM_ROOT/data\" -mindepth 1 -maxdepth 1 -exec rm -rf {} + 2>/dev/null || true; find \"\$NPM_ROOT/letsencrypt\" -mindepth 1 -maxdepth 1 -exec rm -rf {} + 2>/dev/null || true; tar -xzf - -C \"\$NPM_ROOT\"; chmod -R a+rX \"\$NPM_ROOT\" 2>/dev/null || true; echo NPM3_EXTRACT_OK; ls \"\$NPM_ROOT/data/nginx/proxy_host\" 2>/dev/null | head -5"; then
    log "DS920 NPM3 sincronizzato OK (dormiente)"
  else
    log "ERRORE: extract DS920 fallito"
  fi
 fi
 # 5. Pulizia locale
 sudo rm -f "$TEMP_FILE"
 log "Sincronizzazione NPM completata."
@@ -1,71 +1,3 @@
-#!/bin/bash
+#!/usr/bin/env bash
-
+# Wrapper legacy — redirige al modulo infra-monitor
-# ================================================
+exec /home/daniely/rete/infra-monitor/pi2-watchdog.sh "$@"
 #  SENTINELLA DI BACKUP (Gira su Pi-1 Master)
 #  Controlla Pi-2 e attiva failover bundle IoT su Pi-1 se down.
 # ================================================
 LOOGLE_NOTIFY="/home/daniely/docker/loogle-casa/scripts/loogle-notify.sh"
 HA_FAILOVER="/home/daniely/rete/scripts/ha-failover.sh"
 if [[ ! -x "$LOOGLE_NOTIFY" ]]; then
    echo "Errore: loogle-notify non disponibile ($LOOGLE_NOTIFY)" >&2
    exit 1
 fi
 TARGET_IP="192.168.128.81"
 TARGET_NAME="🍓 Pi-2 (Backup & Monitor)"
 STATE_FILE="/mnt/ha-apps/.metadata/pi2-watchdog.state"
 SIM_STATE="/mnt/ha-apps/.metadata/failover-sim.state"
 LEGACY_STATE_FILE="/tmp/pi2_watchdog.state"
 SSH_OPTS=(-o ConnectTimeout=5 -o BatchMode=yes -o StrictHostKeyChecking=accept-new)
 if [[ -f "$SIM_STATE" ]] && [[ "$(cat "$SIM_STATE" 2>/dev/null)" != "none" ]]; then
    exit 0
 fi
 send_alert() {
    local title="$1"
    local body="$2"
    local severity="$3"
    "$LOOGLE_NOTIFY" --title "$title" --body "$body" --category watchdog_pi2 \
        --severity "$severity" &
 }
 pi2_reachable() {
    ping -c 3 -W 2 "$TARGET_IP" > /dev/null 2>&1 && return 0
    ssh "${SSH_OPTS[@]}" pi2 "exit 0" 2>/dev/null
 }
 if [ ! -f "$STATE_FILE" ]; then
    if [ -f "$LEGACY_STATE_FILE" ]; then
        cp "$LEGACY_STATE_FILE" "$STATE_FILE"
    else
        echo "UP" > "$STATE_FILE"
    fi
 fi
 LAST_STATE=$(cat "$STATE_FILE")
 if pi2_reachable; then
    if [ "$LAST_STATE" == "DOWN" ]; then
        send_alert \
            "Pi-2 online" \
            "RISOLTO: $TARGET_NAME è tornato ONLINE! Failback bundle IoT in corso." \
            "info"
        echo "UP" > "$STATE_FILE"
        if [[ -x "$HA_FAILOVER" ]]; then
            sudo bash -c "\"$HA_FAILOVER\" stop-iot-bundle >> /var/log/ha-failover.log 2>&1 &"
        fi
    fi
 else
    if [ "$LAST_STATE" == "UP" ]; then
        send_alert \
            "Pi-2 offline" \
            "ALLARME: $TARGET_NAME è OFFLINE! Avvio failover bundle IoT su Pi-1." \
            "warning"
        echo "DOWN" > "$STATE_FILE"
        if [[ -x "$HA_FAILOVER" ]]; then
            sudo bash -c "\"$HA_FAILOVER\" start-iot-bundle >> /var/log/ha-failover.log 2>&1 &"
        fi
    fi
 fi
@@ -45,12 +45,21 @@ done
 case "$(hostname -s)" in
    pi1)
        HOST_LABEL="Pi-1 (Master)"
        # Immagini build locali (no registry pubblico) → escluse da Watchtower
        DOCKER_IGNORE_IMAGES=("turni-app:live-latest")
        ;;
    pi2)
        HOST_LABEL="Pi-2 (Backup)"
        CHECK_PIP3=true
-        DOCKER_IGNORE_IMAGES=("irrigazione:latest" "turni-app:beta-latest" "turni-app:alpha-latest")
+        # Immagini build locali (no registry pubblico) → escluse da Watchtower
        DOCKER_IGNORE_IMAGES=(
            "irrigazione:latest"
            "turni-app:beta-latest"
            "turni-app:alpha-latest"
            "meteo-alert:latest"
            "loogle-casa:latest"
            "ewelink_smart_home:1.4.6"
        )
        ;;
 esac
@@ -143,34 +152,52 @@ image_is_ignored() {
    return 1
 }
-ensure_watchtower_labels() {
+# Elenco nomi container da escludere (immagini locali / no registry).
-    command -v docker >/dev/null 2>&1 || return 0
+# Nota: `docker update --label-add` non esiste → usiamo WATCHTOWER_DISABLE_CONTAINERS.
-    local name image
+watchtower_disabled_containers() {
    local name image disabled=()
    while IFS= read -r line; do
        [[ -z "$line" ]] && continue
        name=${line%%|*}
        image=${line#*|}
-        image_is_ignored "$image" || continue
+        if image_is_ignored "$image"; then
-        docker update --label-add com.centurylinklabs.watchtower.enable=false "$name" >/dev/null 2>&1 || true
+            disabled+=("$name")
-    done < <(docker ps --format '{{.Names}}|{{.Image}}' 2>/dev/null || true)
+        fi
    done < <(docker ps -a --format '{{.Names}}|{{.Image}}' 2>/dev/null || true)
    if ((${#disabled[@]} > 0)); then
        local IFS=,
        printf '%s' "${disabled[*]}"
    fi
 }
 run_watchtower() {
    command -v docker >/dev/null 2>&1 || return 0
-    ensure_watchtower_labels
+    local disable_list
    disable_list=$(watchtower_disabled_containers)
    log "▶ Watchtower (run-once, container aggiornabili da registry)"
    append_report ""
    append_report "=== Watchtower run-once ==="
    if [[ -n "$disable_list" ]]; then
        log "Watchtower: esclusi container locali: $disable_list"
        append_report "Esclusi (immagini locali): $disable_list"
    fi
    local -a env_args=(
        -e WATCHTOWER_CLEANUP=true
        -e WATCHTOWER_ROLLING_RESTART=false
        -e "WATCHTOWER_TIMEOUT=${WATCHTOWER_TIMEOUT}"
        -e TZ=Europe/Rome
    )
    if [[ -n "$disable_list" ]]; then
        env_args+=(-e "WATCHTOWER_DISABLE_CONTAINERS=${disable_list}")
    fi
    local output rc=0
    output=$(docker run --rm \
        -v /var/run/docker.sock:/var/run/docker.sock \
-        -e WATCHTOWER_CLEANUP=true \
+        "${env_args[@]}" \
        -e WATCHTOWER_ROLLING_RESTART=false \
        -e WATCHTOWER_TIMEOUT="${WATCHTOWER_TIMEOUT}" \
        -e TZ=Europe/Rome \
        "$WATCHTOWER_IMAGE" \
        --run-once 2>&1) || rc=$?
@@ -413,7 +440,7 @@ fi
 # 3. EEPROM firmware
 audit_eeprom
-# 4. Aggiornamento container Docker (Watchtower run-once, sostituisce il daemon schedulato)
+# 4. Aggiornamento container Docker (Watchtower run-once; il daemon è MONITOR_ONLY)
 run_watchtower
 # 5. Audit residui
@@ -1,142 +1,2 @@
-#!/bin/bash
+#!/usr/bin/env bash
-
+exec /home/daniely/rete/infra-monitor/perimeter-watch.sh "$@"
 # ================================================
 #   🔍 SUPER WATCHDOG DI RETE (Gira su Pi-2)
 # ================================================
 LOOGLE_NOTIFY="/home/daniely/docker/loogle-casa/scripts/loogle-notify.sh"
 if [[ ! -x "$LOOGLE_NOTIFY" ]]; then
    echo "ERRORE: loogle-notify non disponibile ($LOOGLE_NOTIFY)" >&2
    exit 1
 fi
 STATE_DIR="/tmp/watchdog_states"
 mkdir -p "$STATE_DIR"
 # Riavvio giornaliero AP WiFi: silenzio allarmi per REBOOT_GRACE_MIN minuti
 # dall'orario programmato. Se ancora DOWN dopo la finestra → allarme.
 REBOOT_GRACE_MIN=5
 TARGETS=(
    "🍓 Pi-1 (Master)|192.168.128.80"
    "🗄️ NAS DS920+|192.168.128.100"
    "🌍 Internet (Google)|8.8.8.8"
    "📡 Router Main|192.168.128.1"
    "🗄️ NAS DS214|192.168.128.90"
    "🔌 Switch Sala (.105)|192.168.128.105"
    "🔌 Switch Taverna (.106)|192.168.128.106"
    "🔌 Switch Lavanderia (.107)|192.168.128.107"
    "📶 WiFi Sala (.101)|192.168.128.101"
    "📶 WiFi Luca (.102)|192.168.128.102"
    "📶 WiFi Taverna (.103)|192.168.128.103"
    "📶 WiFi Dado (.104)|192.168.128.104"
    "📶 WiFi Esterno (.108)|192.168.128.108"
    "📶 WiFi Pozzo (.109)|192.168.128.109"
    "📷 Cam Matrimoniale|192.168.135.2"
    "📷 Cam Luca|192.168.135.3"
    "📷 Cam Ingresso|192.168.135.4"
    "📷 Cam Sala|192.168.135.5"
    "📷 Cam Taverna|192.168.135.6"
    "📷 Cam Retro|192.168.135.7"
 )
 send_alert() {
    local title="$1"
    local body="$2"
    local severity="$3"
    "$LOOGLE_NOTIFY" --title "$title" --body "$body" --category super_watchdog \
        --severity "$severity" &
 }
 # Restituisce i minuti da mezzanotte dell'inizio riavvio (o vuoto se non programmato).
 # 04:00 → Dado (.104), Sala (.101)
 # 04:30 → Luca (.102), Taverna (.103)
 # 14:00 → Esterno (.108), Pozzo (.109)
 wifi_reboot_start_min() {
    case "$1" in
        192.168.128.101|192.168.128.104) echo 240 ;;  # 04:00
        192.168.128.102|192.168.128.103) echo 270 ;;  # 04:30
        192.168.128.108|192.168.128.109) echo 840 ;;  # 14:00
        *) echo "" ;;
    esac
 }
 # 0 se siamo nella finestra [start, start+grace) del riavvio programmato.
 in_wifi_reboot_window() {
    local start
    start=$(wifi_reboot_start_min "$1")
    [[ -n "$start" ]] || return 1
    local now_min=$((10#$(date +%H) * 60 + 10#$(date +%M)))
    local end=$((start + REBOOT_GRACE_MIN))
    [[ $now_min -ge $start && $now_min -lt $end ]]
 }
 echo "--- Inizio controllo $(date) ---"
 for target_line in "${TARGETS[@]}"; do
    NAME=$(echo "$target_line" | cut -d'|' -f1)
    IP=$(echo "$target_line" | cut -d'|' -f2)
    SAFE_IP="${IP//./_}"
    STATE_FILE="$STATE_DIR/${SAFE_IP}.state"
    if [ -f "$STATE_FILE" ]; then
        LAST_STATE=$(cat "$STATE_FILE")
    else
        LAST_STATE="UP"
        echo "UP" > "$STATE_FILE"
    fi
    ping -c 2 -W 1 "$IP" > /dev/null 2>&1
    PING_RESULT=$?
    if [ $PING_RESULT -eq 0 ]; then
        if [ "$LAST_STATE" == "DOWN" ]; then
            send_alert \
                "Dispositivo online" \
                "RISOLTO: $NAME è tornato ONLINE! IP: $IP" \
                "info"
            echo "UP" > "$STATE_FILE"
            echo "--> $NAME tornato UP. Notifica inviata."
        elif [ "$LAST_STATE" == "REBOOT_DOWN" ]; then
            # Ripristino dopo riavvio programmato: nessun allarme off/on
            echo "UP" > "$STATE_FILE"
            echo "--> $NAME tornato UP dopo riavvio programmato. Nessuna notifica."
        fi
    else
        if [ "$LAST_STATE" == "UP" ]; then
            if in_wifi_reboot_window "$IP"; then
                echo "REBOOT_DOWN" > "$STATE_FILE"
                echo "--> $NAME DOWN in finestra riavvio programmato. Silenzio."
            else
                ICON="⚠️"
                if [[ "$NAME" == *"🚨"* || "$NAME" == *"🌍"* ]]; then ICON="🚨 CRITICO:"; fi
                send_alert \
                    "Dispositivo offline" \
                    "$ICON ALLARME: $NAME è OFFLINE! IP: $IP non risponde." \
                    "warning"
                echo "DOWN" > "$STATE_FILE"
                echo "--> $NAME andato DOWN. Notifica inviata."
            fi
        elif [ "$LAST_STATE" == "REBOOT_DOWN" ]; then
            if in_wifi_reboot_window "$IP"; then
                echo "$NAME ancora DOWN in finestra riavvio. Silenzio."
            else
                # Oltre i 5 minuti dal riavvio programmato: allarme reale
                ICON="⚠️"
                send_alert \
                    "Dispositivo offline" \
                    "$ICON ALLARME: $NAME è OFFLINE oltre il riavvio programmato! IP: $IP non risponde." \
                    "warning"
                echo "DOWN" > "$STATE_FILE"
                echo "--> $NAME ancora DOWN dopo finestra riavvio. Notifica inviata."
            fi
        else
            echo "$NAME ancora DOWN. Nessuna notifica."
        fi
    fi
 done
 echo "--- Fine controllo ---"
@@ -45,12 +45,21 @@ done
 case "$(hostname -s)" in
    pi1)
        HOST_LABEL="Pi-1 (Master)"
        # Immagini build locali (no registry pubblico) → escluse da Watchtower
        DOCKER_IGNORE_IMAGES=("turni-app:live-latest")
        ;;
    pi2)
        HOST_LABEL="Pi-2 (Backup)"
        CHECK_PIP3=true
-        DOCKER_IGNORE_IMAGES=("irrigazione:latest" "turni-app:beta-latest" "turni-app:alpha-latest")
+        # Immagini build locali (no registry pubblico) → escluse da Watchtower
        DOCKER_IGNORE_IMAGES=(
            "irrigazione:latest"
            "turni-app:beta-latest"
            "turni-app:alpha-latest"
            "meteo-alert:latest"
            "loogle-casa:latest"
            "ewelink_smart_home:1.4.6"
        )
        ;;
 esac
@@ -143,34 +152,52 @@ image_is_ignored() {
    return 1
 }
-ensure_watchtower_labels() {
+# Elenco nomi container da escludere (immagini locali / no registry).
-    command -v docker >/dev/null 2>&1 || return 0
+# Nota: `docker update --label-add` non esiste → usiamo WATCHTOWER_DISABLE_CONTAINERS.
-    local name image
+watchtower_disabled_containers() {
    local name image disabled=()
    while IFS= read -r line; do
        [[ -z "$line" ]] && continue
        name=${line%%|*}
        image=${line#*|}
-        image_is_ignored "$image" || continue
+        if image_is_ignored "$image"; then
-        docker update --label-add com.centurylinklabs.watchtower.enable=false "$name" >/dev/null 2>&1 || true
+            disabled+=("$name")
-    done < <(docker ps --format '{{.Names}}|{{.Image}}' 2>/dev/null || true)
+        fi
    done < <(docker ps -a --format '{{.Names}}|{{.Image}}' 2>/dev/null || true)
    if ((${#disabled[@]} > 0)); then
        local IFS=,
        printf '%s' "${disabled[*]}"
    fi
 }
 run_watchtower() {
    command -v docker >/dev/null 2>&1 || return 0
-    ensure_watchtower_labels
+    local disable_list
    disable_list=$(watchtower_disabled_containers)
    log "▶ Watchtower (run-once, container aggiornabili da registry)"
    append_report ""
    append_report "=== Watchtower run-once ==="
    if [[ -n "$disable_list" ]]; then
        log "Watchtower: esclusi container locali: $disable_list"
        append_report "Esclusi (immagini locali): $disable_list"
    fi
    local -a env_args=(
        -e WATCHTOWER_CLEANUP=true
        -e WATCHTOWER_ROLLING_RESTART=false
        -e "WATCHTOWER_TIMEOUT=${WATCHTOWER_TIMEOUT}"
        -e TZ=Europe/Rome
    )
    if [[ -n "$disable_list" ]]; then
        env_args+=(-e "WATCHTOWER_DISABLE_CONTAINERS=${disable_list}")
    fi
    local output rc=0
    output=$(docker run --rm \
        -v /var/run/docker.sock:/var/run/docker.sock \
-        -e WATCHTOWER_CLEANUP=true \
+        "${env_args[@]}" \
        -e WATCHTOWER_ROLLING_RESTART=false \
        -e WATCHTOWER_TIMEOUT="${WATCHTOWER_TIMEOUT}" \
        -e TZ=Europe/Rome \
        "$WATCHTOWER_IMAGE" \
        --run-once 2>&1) || rc=$?
@@ -1,16 +1,50 @@
 #!/bin/bash
 # raspiBackup post extension — notifica Loogle Casa (solo WebApp).
 #
 # RaspiBackup chiama il post hook PRIMA di STARTSERVICES: su Pi2 Casa è giù
 # (before-stop ferma loogle-casa, STOPSERVICES ferma docker). Non notificare
 # subito: systemd-run stacca dal cgroup e riprova finché l'API risponde.
 #
 # Sourced da raspiBackup: $1 = return code backup.
 # Eseguito da systemd-run: $1 = --wait-send
 LOOGLE_NOTIFY="/home/daniely/docker/loogle-casa/scripts/loogle-notify.sh"
 MAX_TRIES="${LOOGLE_BACKUP_NOTIFY_TRIES:-36}"
 SLEEP_SECS="${LOOGLE_BACKUP_NOTIFY_SLEEP:-5}"
 wait_send() {
    local title="$1" body="$2" severity="$3" tag="$4"
    local i
    if [[ ! -x "$LOOGLE_NOTIFY" ]]; then
        echo "loogle-notify.sh assente" >&2
        exit 0
    fi
    for ((i = 1; i <= MAX_TRIES; i++)); do
        if "$LOOGLE_NOTIFY" --title "$title" --body "$body" --category raspi_backup \
            --severity "$severity" --tag "$tag"; then
            echo "notify ok try=$i tag=$tag"
            exit 0
        fi
        echo "notify retry $i/$MAX_TRIES tag=$tag" >&2
        sleep "$SLEEP_SECS"
    done
    echo "notify failed after ${MAX_TRIES} tries tag=$tag" >&2
    exit 1
 }
 if [[ "${1:-}" == "--wait-send" ]]; then
    wait_send "${2:-}" "${3:-}" "${4:-info}" "${5:-raspi_backup}"
    exit $?
 fi
 RC="${1:-1}"
-LOOGLE_NOTIFY="/home/daniely/docker/loogle-casa/scripts/loogle-notify.sh"
+HOST="${HOSTNAME:-$(hostname)}"
 HOST="${HOST%%.*}"
 if [[ ! -x "$LOOGLE_NOTIFY" ]]; then
    return 0 2>/dev/null || exit 0
 fi
 HOST="${HOSTNAME:-$(hostname)}"
 if (( RC == 0 )); then
    TITLE="Backup completato"
    BODY="Backup di ${HOST} terminato con successo."
@@ -21,7 +55,19 @@ else
    SEVERITY="error"
 fi
-"$LOOGLE_NOTIFY" --title "$TITLE" --body "$BODY" --category raspi_backup \
+TAG="raspi_backup-${HOST}"
-    --severity "$SEVERITY" &
+SELF="$(readlink -f "${BASH_SOURCE[0]:-$0}" 2>/dev/null || echo /usr/local/bin/raspiBackup_loogle_post.sh)"
 # Stacca dal servizio raspiBackup (KillMode=control-group) e aspetta Casa.
 if command -v systemd-run >/dev/null 2>&1; then
    systemd-run --quiet --collect \
        --description="Loogle Casa raspiBackup notify ${HOST}" \
        /bin/bash "$SELF" --wait-send "$TITLE" "$BODY" "$SEVERITY" "$TAG" \
        || true
 else
    nohup /bin/bash "$SELF" --wait-send "$TITLE" "$BODY" "$SEVERITY" "$TAG" \
        >/dev/null 2>&1 &
    disown 2>/dev/null || true
 fi
 return 0 2>/dev/null || exit 0
@@ -337,7 +337,7 @@ def load_state() -> Dict:
    return default
-def save_state(alert_active: bool, signature: str, casa_data: Optional[Dict] = None, last_notification_utc: Optional[str] = None) -> None:
+def save_state(alert_active: bool, signature: str, casa_data: Optional[Dict] = None, last_notification_utc: Optional[str] = None, summary: Optional[str] = None) -> None:
    try:
        os.makedirs(os.path.dirname(STATE_FILE), exist_ok=True)
        state_data = {
@@ -354,6 +354,8 @@ def save_state(alert_active: bool, signature: str, casa_data: Optional[Dict] = N
                "casa_first_thr_time": casa_data.get("first_thr_time", ""),
                "casa_duration_hours": casa_data.get("duration_hours", 0.0),
            })
        if summary:
            state_data["summary"] = summary[:3000]
        with open(STATE_FILE, "w", encoding="utf-8") as f:
            json.dump(state_data, f, ensure_ascii=False, indent=2)
    except Exception as e:
@@ -1694,7 +1696,15 @@ def analyze_snow(chat_ids: Optional[List[str]] = None, debug_mode: bool = False)
            msg.append("<i>Fonte dati: Open-Meteo</i>")
            # Unisci con <br> (sarà convertito in \n in telegram_send_html)
-            ok = telegram_send_html("<br>".join(msg), chat_ids=chat_ids)
+            html_msg = "<br>".join(msg)
            ok = telegram_send_html(html_msg, chat_ids=chat_ids)
            snow_summary = None
            try:
                from webapp_alert import publish_web_alert, message_to_plain
                snow_summary = message_to_plain(html_msg, is_html=True)
                publish_web_alert(html_msg, "snow", "warning", is_html=True, title="Allerta neve")
            except Exception as e:
                LOGGER.debug("Web summary failed: %s", e)
            # Genera e invia grafico (solo se abbiamo dati per Casa)
            chart_generated = False
@@ -1731,11 +1741,11 @@ def analyze_snow(chat_ids: Optional[List[str]] = None, debug_mode: bool = False)
                # Salva timestamp dell'ultima notifica
                now_utc = datetime.datetime.now(datetime.timezone.utc)
-                save_state(True, sig, casa_data, last_notification_utc=now_utc.isoformat(timespec="seconds"))
+                save_state(True, sig, casa_data, last_notification_utc=now_utc.isoformat(timespec="seconds"), summary=snow_summary)
            else:
                LOGGER.warning("Notifica neve NON inviata (token mancante o errore Telegram).")
                # Salva comunque lo state (senza aggiornare last_notification_utc)
-                save_state(True, sig, casa_data, last_notification_utc=state.get("last_notification_utc", ""))
+                save_state(True, sig, casa_data, last_notification_utc=state.get("last_notification_utc", ""), summary=snow_summary)
        else:
            LOGGER.info("Allerta attiva ma nessun cambiamento significativo. Motivo: %s", change_reason)
            # Salva lo state anche se non inviamo (per mantenere alert_active e last_notification_utc)
@@ -758,6 +758,14 @@ async def meteo_viaggio_command(update: Update, context: ContextTypes.DEFAULT_TY
 async def scheduled_morning_report(context: ContextTypes.DEFAULT_TYPE) -> None:
    # Stesso comportamento di `/meteo` senza argomenti: Casa (+ viaggio se attivo) per utente.
    try:
        from telegram_gate import telegram_alerts_enabled
        if not telegram_alerts_enabled():
            logger.info("Report meteo mattutino sospeso (LOOGLE_TELEGRAM_ALERTS=0).")
            return
    except Exception:
        pass
    report_casa = call_meteo_script(["--home"])
    for uid in ALLOWED_IDS:
        chat_id = str(uid)
@@ -892,7 +900,21 @@ def main():
    application.add_handler(CallbackQueryHandler(button_handler))
    job_queue = application.job_queue
-    job_queue.run_daily(scheduled_morning_report, time=datetime.time(hour=7, minute=15, tzinfo=TZINFO), days=(0, 1, 2, 3, 4, 5, 6))
+    # Report meteo quotidiano 07:15 — sospeso se LOOGLE_TELEGRAM_ALERTS=0 (cron-alerts.env)
    try:
        from telegram_gate import telegram_alerts_enabled
        morning_enabled = telegram_alerts_enabled()
    except Exception:
        morning_enabled = True
    if morning_enabled:
        job_queue.run_daily(
            scheduled_morning_report,
            time=datetime.time(hour=7, minute=15, tzinfo=TZINFO),
            days=(0, 1, 2, 3, 4, 5, 6),
        )
        logger.info("Job scheduled_morning_report attivo (07:15).")
    else:
        logger.info("Job scheduled_morning_report NON registrato (Telegram sospeso).")
    application.run_polling()
@@ -78,7 +78,7 @@ def get_bot_token():
    sys.exit(1)
-def save_current_state(state, report_meta=None):
+def save_current_state(state, report_meta=None, summary=None):
    try:
        # Aggiungi timestamp corrente per tracciare quando è stato salvato lo stato
        if report_meta is None:
@@ -87,7 +87,19 @@ def save_current_state(state, report_meta=None):
            "points": state,
            "last_update": datetime.datetime.now().isoformat(),
            "report_meta": report_meta,
            "alert_active": any(int(v or 0) > 0 for v in (state or {}).values()),
        }
        if summary:
            state_with_meta["summary"] = str(summary)[:3000]
        else:
            # Mantieni l'ultimo summary Telegram se non ci sono nuovi aggiornamenti
            try:
                with open(STATE_FILE, "r") as rf:
                    prev = json.load(rf)
                if isinstance(prev, dict) and prev.get("summary"):
                    state_with_meta["summary"] = str(prev["summary"])[:3000]
            except Exception:
                pass
        with open(STATE_FILE, 'w') as f:
            json.dump(state_with_meta, f)
    except Exception as e:
@@ -2251,7 +2263,26 @@ def main():
            append_report(new_alerts, improvement_msg, important, report_meta, DEBUG_MODE)
    # Genera e invia mappa solo quando ci sono aggiornamenti
    ice_summary = None
    if new_alerts or solved_alerts:
        parts = []
        if new_alerts:
            parts.append("Aggiornamenti rischio:\n" + "\n\n".join(new_alerts[:12]))
        if solved_alerts:
            parts.append("Rientri:\n" + "\n".join(solved_alerts[:8]))
        ice_summary = "\n\n".join(parts)
        try:
            from webapp_alert import publish_web_alert
            publish_web_alert(
                ice_summary,
                "ghiaccio",
                "warning",
                is_html=True,
                title="Rischio ghiaccio stradale",
            )
        except Exception as e:
            if DEBUG_MODE:
                print(f"Web summary failed: {e}")
        if DEBUG_MODE:
            print(f"Generazione mappa per {len(map_points_data)} punti...")
        map_path = os.path.join(SCRIPT_DIR, "ice_risk_map.png")
@@ -2265,18 +2296,16 @@ def main():
                f"🕒 {now.strftime('%d/%m/%Y %H:%M')}\n"
                f"📊 Punti monitorati: {len(map_points_data)}"
            )
            # Invia anche i report testuali (allineati a Telegram/WebApp)
            for block in (new_alerts + solved_alerts)[:15]:
                try:
                    send_telegram_broadcast(token, block, debug_mode=DEBUG_MODE)
                except Exception:
                    pass
            photo_sent = send_telegram_photo(token, map_path, caption, debug_mode=DEBUG_MODE)
            if DEBUG_MODE:
                print(f"Mappa inviata via Telegram: {photo_sent}")
-            # Pulisci file temporaneo solo se non in debug mode (per permettere verifica)
+            # Mantieni la mappa per la WebApp (non cancellare)
            if not DEBUG_MODE:
                try:
                    if os.path.exists(map_path):
                        os.remove(map_path)
                except Exception:
                    pass
            elif DEBUG_MODE:
                print(f"File mappa mantenuto per debug: {map_path}")
            print("Mappa inviata.")
        else:
            if DEBUG_MODE:
@@ -2288,7 +2317,7 @@ def main():
            print("Nessuna variazione.")
    if not DEBUG_MODE:
-        save_current_state(current_state, report_meta=report_meta)
+        save_current_state(current_state, report_meta=report_meta, summary=ice_summary)
 if __name__ == "__main__":
    main()
@@ -52,6 +52,12 @@ TARGET_ZONES = {
    "EMR-D1": "Pianura bolognese",
 }
 # Annotazioni territoriali (San Marino adotta il sistema Emilia-Romagna)
 ZONE_NOTES = {
    "Alta collina romagnola": "include Repubblica di San Marino",
    "Pianura romagnola": "area adiacente a San Marino",
 }
 # Mappa codice zona regionale Arpae -> nome leggibile (deriva da TARGET_ZONES,
 # togliendo il prefisso "EMR-": es. EMR-D1 -> D1 "Pianura bolognese").
 REGIONAL_TARGET_ZONES = {code.split("-")[-1]: name for code, name in TARGET_ZONES.items()}
@@ -177,15 +183,12 @@ def telegram_send_html(message_html: str, chat_ids: Optional[List[str]] = None)
        message_html = re.sub(r"<\s*br\s*/?\s*>", "\n", message_html, flags=re.IGNORECASE)
    try:
-        from telegram_gate import mirror_alert_to_web, telegram_alerts_enabled
+        from telegram_gate import telegram_alerts_enabled
    except ImportError:
        telegram_alerts_enabled = lambda: True  # type: ignore
        mirror_alert_to_web = lambda *a, **k: False  # type: ignore
    if not telegram_alerts_enabled():
        LOGGER.info("Telegram sospeso: skip civil_protection")
        if message_html:
            mirror_alert_to_web(message_html, "civil_protection", "warning", is_html=True)
        return False
    token = load_bot_token()
@@ -219,15 +222,6 @@ def telegram_send_html(message_html: str, chat_ids: Optional[List[str]] = None)
            except Exception as e:
                LOGGER.exception("Telegram exception chat_id=%s err=%s", chat_id, e)
    if sent_ok:
        try:
            import sys
            sys.path.insert(0, "/home/daniely/docker/shared")
            from loogle_core.alert_dispatcher import mirror_to_web
            mirror_to_web(message_html, "civil_protection", "warning", is_html=True)
        except Exception:
            pass
    return sent_ok
 def load_state() -> dict:
@@ -441,7 +435,9 @@ def format_message(parsed: dict) -> str:
        lines.append(f"📅 <b>{html_lib.escape(day.get('date_label',''))}</b>")
        for zone in sorted(alerts.keys()):
-            lines.append(f"📍 <b>{html_lib.escape(zone)}</b>")
+            note = ZONE_NOTES.get(zone)
            zlabel = f"{zone} · {note}" if note else zone
            lines.append(f"📍 <b>{html_lib.escape(zlabel)}</b>")
            for entry in alerts[zone]:
                lines.append(html_lib.escape(entry))
            lines.append("")
@@ -452,7 +448,9 @@ def format_message(parsed: dict) -> str:
        lines.append(f"🗺️ <b>{html_lib.escape(titolo)}</b>")
        alerts = doc.get("alerts", {})
        for zone in sorted(alerts.keys()):
-            lines.append(f"📍 <b>{html_lib.escape(zone)}</b>")
+            note = ZONE_NOTES.get(zone)
            zlabel = f"{zone} · {note}" if note else zone
            lines.append(f"📍 <b>{html_lib.escape(zlabel)}</b>")
            for entry in alerts[zone]:
                lines.append(html_lib.escape(entry))
            lines.append("")
@@ -462,6 +460,18 @@ def format_message(parsed: dict) -> str:
    lines.append("<i>Fonte: mappe.protezionecivile.gov.it</i>")
    return "\n".join(lines)
 def _web_body_without_header(plain: str) -> str:
    """Rimuove la riga titolo 'PROTEZIONE CIVILE…' già usata come title WebApp."""
    lines = (plain or "").splitlines()
    if not lines:
        return ""
    first = lines[0].strip().upper()
    if "PROTEZIONE CIVILE" in first:
        return "\n".join(lines[1:]).strip()
    return plain.strip()
 # =============================================================================
 # Main
 # =============================================================================
@@ -516,21 +526,50 @@ def main(chat_ids: Optional[List[str]] = None, debug_mode: bool = False):
        LOGGER.info("[DEBUG MODE] Bypass anti-spam: invio forzato")
    elif sig == last_sig:
        LOGGER.info("Allerta già notificata e invariata. Nessuna nuova notifica.")
        # Aggiorna solo la data di calendario così Casa non tratta il bollettino
        # come «di ieri» mentre le allerte regionali valgono ancora per oggi.
        today = today_str_italy()
        if state.get("date") != today:
            state = dict(state)
            state["date"] = today
            save_state(state)
            LOGGER.info("Stato DPC: date aggiornata a %s (firma invariata).", today)
        return
    # A questo punto: ci sono allerte e sono nuove -> prova invio
    msg = format_message(parsed)
    sent_ok = telegram_send_html(msg, chat_ids=chat_ids)
-
+    web_ok = False
-    if sent_ok:
+    st = {
        LOGGER.info("Notifica allerta inviata con successo.")
        save_state({
        "date": today_str_italy(),
        "last_alert_signature": sig,
-        })
+    }
    try:
        from webapp_alert import publish_web_alert, remember_summary, message_to_plain
        plain = message_to_plain(msg, is_html=True)
        card_body = _web_body_without_header(plain)
        remember_summary(st, card_body)
        web_ok = bool(
            publish_web_alert(
                card_body,
                "civil_protection",
                "warning",
                is_html=False,
                title="Allerta Protezione Civile / Arpae",
                state=st,
            )
        )
    except Exception as e:
        LOGGER.debug("Web summary failed: %s", e)
    if sent_ok or web_ok:
        LOGGER.info(
            "Notifica allerta consegnata (%s).",
            "Telegram+WebApp" if sent_ok and web_ok else ("Telegram" if sent_ok else "WebApp"),
        )
        save_state(st)
    else:
-        # Non aggiorniamo lo stato: quando risolvi token/rete, reinvierà.
+        LOGGER.warning("Invio non riuscito (Telegram/WebApp). Stato NON aggiornato.")
        LOGGER.warning("Invio non riuscito (token mancante o errore Telegram). Stato NON aggiornato.")
 if __name__ == "__main__":
    parser = argparse.ArgumentParser(description="Civil protection alert")
@@ -1,2 +1,4 @@
-# 0 = sospende Telegram per script meteo/speedtest (WebApp invariata dove configurata)
+# 0 = sospende Telegram per script meteo/speedtest (canale primario: WebApp Casa)
 # Le variabili LOOGLE_INTERNAL_TOKEN / LOOGLE_CASA_URL / LOOGLE_NOTIFY_MODE
 # vengono caricate automaticamente da /home/daniely/docker/loogle-casa/.env
 LOOGLE_TELEGRAM_ALERTS=0
@@ -507,6 +507,13 @@ def analyze_freeze(chat_ids: Optional[List[str]] = None, debug_mode: bool = Fals
            msg = "".join(msg_parts)
            ok = telegram_send_html(msg, chat_ids=chat_ids)
            web_ok = False
            try:
                from webapp_alert import publish_web_alert
                web_ok = bool(publish_web_alert(msg, "freeze", "warning", is_html=True, state=state,
                                  title="Allerta gelo"))
            except Exception as e:
                LOGGER.debug("Web summary failed: %s", e)
            if ok:
                LOGGER.info("Allerta gelo inviata. Tmin=%.1f°C at %s, nuove fasce: %d", 
                           min_temp_val, min_temp_time.isoformat(), len(new_periods))
@@ -516,8 +523,15 @@ def analyze_freeze(chat_ids: Optional[List[str]] = None, debug_mode: bool = Fals
                        "start": start.isoformat(),
                        "end": end.isoformat(),
                    })
            elif web_ok:
                LOGGER.info("Allerta gelo pubblicata su WebApp. Tmin=%.1f°C", min_temp_val)
                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).")
+                LOGGER.warning("Allerta gelo NON consegnata (Telegram/WebApp).")
        else:
            LOGGER.info("Gelo già notificato (nessuna nuova fascia oraria, peggioramento < 2°C). Tmin=%.1f°C", min_temp_val)
@@ -528,6 +542,12 @@ def analyze_freeze(chat_ids: Optional[List[str]] = None, debug_mode: bool = Fals
            "min_time": min_temp_time.isoformat(),
            "notified_periods": notified_periods,
        })
        if not state.get("summary"):
            state["summary"] = (
                f"Allerta gelo a {LOCATION_NAME}.\n"
                f"Minima prevista {min_temp_val:.1f}°C alle {fmt_dt(min_temp_time)} "
                f"(prossime {HOURS_AHEAD}h)."
            )
        save_state(state)
        return
@@ -44,9 +44,45 @@ CATEGORIES = {
    "telegram_error": re.compile(r"Telegram error|Bad Request|chat not found|can't parse entities", re.IGNORECASE),
    "traceback": re.compile(r"Traceback", re.IGNORECASE),
    "exception": re.compile(r"\bERROR\b|Exception", re.IGNORECASE),
-    "token_missing": re.compile(r"token missing|Token Telegram assente", re.IGNORECASE),
+    # Solo token realmente assente (non i messaggi ambigui con Telegram sospeso)
    "token_missing": re.compile(
        r"Telegram token missing|Token Telegram assente|Token Telegram mancante",
        re.IGNORECASE,
    ),
 }
 # Comportamento atteso con LOOGLE_TELEGRAM_ALERTS=0 / canale WebApp: non sono problemi.
 IGNORE_ISSUE_PATTERNS = [
    re.compile(r"Telegram sospeso", re.IGNORECASE),
    re.compile(r"Alert NON inviato \(token missing o errore Telegram\)", re.IGNORECASE),
    re.compile(r"NOT sent \(token missing or Telegram error\)", re.IGNORECASE),
    re.compile(r"Notifica NON inviata \(token/telegram\)", re.IGNORECASE),
    re.compile(r"token missing o errore Telegram", re.IGNORECASE),
    re.compile(r"token mancante o errore Telegram", re.IGNORECASE),
    re.compile(r"Telegram saltato/sospeso", re.IGNORECASE),
    re.compile(r"All-clear Telegram skip/fail", re.IGNORECASE),
    re.compile(r"publish_web_alert failed", re.IGNORECASE),  # gestito sotto come web_notify se serve
 ]
 def telegram_alerts_suspended() -> bool:
    env_path = os.path.join(BASE_DIR, "cron-alerts.env")
    try:
        with open(env_path, "r", encoding="utf-8") as f:
            for line in f:
                line = line.strip()
                if line.startswith("LOOGLE_TELEGRAM_ALERTS="):
                    val = line.split("=", 1)[1].strip().strip('"').strip("'").lower()
                    return val in ("0", "off", "false", "no", "disabled")
    except OSError:
        pass
    val = os.environ.get("LOOGLE_TELEGRAM_ALERTS", "1").strip().lower()
    return val in ("0", "off", "false", "no", "disabled")
 def should_ignore_issue_line(line: str) -> bool:
    return any(p.search(line) for p in IGNORE_ISSUE_PATTERNS)
 def load_text_file(path: str) -> str:
    try:
@@ -126,6 +162,8 @@ def analyze_logs(files: List[str], since: datetime.datetime, max_lines: int) ->
                last_ts = ts
            if not last_ts or last_ts < since:
                continue
            if should_ignore_issue_line(line):
                continue
            for cat, regex in CATEGORIES.items():
                if regex.search(line):
                    category_hits[cat].append((last_ts, path, line))
@@ -169,6 +207,8 @@ def format_report(
    lines.append(f"🧾 Log Monitor - ultimi {days} giorni")
    lines.append(f"Intervallo: {since.strftime('%Y-%m-%d %H:%M')} → {now.strftime('%Y-%m-%d %H:%M')}")
    lines.append(f"File analizzati: {len(files)}")
    if telegram_alerts_suspended():
        lines.append("ℹ️ Telegram sospeso (LOOGLE_TELEGRAM_ALERTS=0): canale primario WebApp Casa")
    lines.append("")
    # Sezione log non aggiornati
@@ -17,6 +17,7 @@ from open_meteo_precip import (
    CASA_TZ,
    daily_precip_from_hourly,
    hourly_precip_mm,
    hourly_table_should_show,
    is_casa,
 )
@@ -499,16 +500,15 @@ def generate_weather_report(lat, lon, location_name, debug_mode=False, cc="IT",
        day_date = dt.date()
        is_new_day = (current_day is not None and day_date != current_day)
-        # Determina se mostrare questo timestamp in base alla posizione nelle 48h
+        # Prime 24h: ogni ora. Dalla 25a alla 48a: ogni 2 ore, ma mai nascondere
-        # Prime 24h: ogni ora (step=1)
+        # un'ora con precipitazione (altrimenti il picco cade sulle ore dispari
-        # Dalla 25a alla 48a: ogni 2 ore (step=2)
+        # e la tabella 48h mostra 5 mm mentre Meteo7 ha 22.4 mm sul giorno).
-        if hours_from_start < 24:
+        Pr_early = get_val(l_prec[idx], 0)
-            step = 1  # Prime 24h: dettaglio 1 ora
+        Rain_early = get_val(l_rain[idx], 0)
-        else:
+        Showers_early = get_val(l_showers[idx], 0) if idx < len(l_showers) else 0
-            step = 2  # Dalla 25a alla 48a: dettaglio 2 ore
+        Code_early = int(get_val(l_code[idx], 0))
-        
+        Pr_display = hourly_precip_mm(Pr_early, Rain_early, Showers_early)
-        # Controlla se questo timestamp deve essere mostrato
+        should_show = hourly_table_should_show(hours_from_start, Pr_display, Code_early)
        should_show = (hours_from_start % step == 0)
        # Se è un nuovo giorno, chiudi il blocco precedente
        if is_new_day and current_block_lines:
@@ -541,12 +541,11 @@ def generate_weather_report(lat, lon, location_name, debug_mode=False, cc="IT",
            elif diff >= 2.5: t_suffix = "H"
            t_s = f"{int(round(T))}{t_suffix}"
-            Pr = get_val(l_prec[idx], 0)
+            Pr = Pr_early
            Sn = get_val(l_snow[idx], 0)
-            Code = int(get_val(l_code[idx], 0))
+            Code = Code_early
-            Rain = get_val(l_rain[idx], 0)
+            Rain = Rain_early
-            Showers = get_val(l_showers[idx], 0) if idx < len(l_showers) else 0
+            Showers = Showers_early
            Pr_display = hourly_precip_mm(Pr, Rain, Showers)
            # Determina se è neve
            is_snowing = Sn > 0 or (Code in [71, 73, 75, 77, 85, 86])
@@ -676,7 +675,7 @@ def generate_weather_report(lat, lon, location_name, debug_mode=False, cc="IT",
    legend = {
        "temp": "W=wind chill, H=heat index",
-        "precip": "G=grandine, Z=ghiacciato, N=neve",
+        "precip": "G=grandine, Z=ghiacciato, N=neve. Dalla 25ª ora: secco ogni 2h, pioggia sempre visibile",
        "cloud": "FOG=nebbia",
        "sky": "Icona condizioni (☀️🌧️⛈️…)",
        "sx": "☃️ neve · 🧊 ghiaccio · ⚡/🌪️ temporali · 🥵 caldo · ☔️ pioggia · 💨 vento forte",
@@ -1,11 +1,18 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 """DEPRECATED 2026-07-25 (ADR-019).
 Sostituito da ``meteo-alert imminent`` (layer NWP 0–120′ in meteo-alert).
 Il cron è disabilitato. Per forzare questo script legacy:
  FORCE_LEGACY_NOWCAST_120M=1 python3 nowcast_120m_alert.py
 """
 import argparse
 import datetime
 import json
 import logging
 import os
 import sys
 import time
 from logging.handlers import RotatingFileHandler
 from typing import Dict, List, Optional, Tuple
@@ -15,6 +22,14 @@ import requests
 from dateutil import parser
 from open_meteo_client import open_meteo_get
 if os.environ.get("FORCE_LEGACY_NOWCAST_120M", "").strip() != "1":
    print(
        "DEPRECATED: use `meteo-alert imminent` (ADR-019). "
        "Set FORCE_LEGACY_NOWCAST_120M=1 to run this script.",
        file=sys.stderr,
    )
    raise SystemExit(0)
 # =========================
 # CONFIG
 # =========================
@@ -129,14 +144,12 @@ def telegram_send_markdown(message: str, chat_ids: Optional[List[str]] = None) -
        return False
    try:
-        from telegram_gate import mirror_alert_to_web, telegram_alerts_enabled
+        from telegram_gate import telegram_alerts_enabled
    except ImportError:
        telegram_alerts_enabled = lambda: True  # type: ignore
        mirror_alert_to_web = lambda *a, **k: False  # type: ignore
    if not telegram_alerts_enabled():
        LOGGER.info("Telegram sospeso: skip nowcast_120m")
        mirror_alert_to_web(message, "nowcast_120m", "warning", is_html=False)
        return False
    token = load_bot_token()
@@ -169,15 +182,6 @@ def telegram_send_markdown(message: str, chat_ids: Optional[List[str]] = None) -
            except Exception as e:
                LOGGER.exception("Errore invio Telegram chat_id=%s: %s", chat_id, e)
    if ok_any:
        try:
            import sys
            sys.path.insert(0, "/home/daniely/docker/shared")
            from loogle_core.alert_dispatcher import mirror_to_web
            mirror_to_web(message, "nowcast_120m", "warning", is_html=False)
        except Exception:
            pass
    return ok_any
@@ -991,16 +995,25 @@ def main(chat_ids: Optional[List[str]] = None, debug_mode: bool = False) -> None
    )
    ok = telegram_send_markdown(msg, chat_ids=chat_ids)
-    if ok:
+    web_ok = False
-        LOGGER.info("Notifica inviata.")
+    try:
        from webapp_alert import publish_web_alert
        web_ok = bool(publish_web_alert(msg, "nowcast_120m", "warning", is_html=False, state=state))
    except Exception as e:
        LOGGER.debug("Web summary failed: %s", e)
    # Salva state con eventi attivi aggiornati
    state["active_events"] = active_events
    if ok or web_ok:
        state["last_sent_utc"] = now_utc.isoformat(timespec="seconds")
-        save_state(state)
+        LOGGER.info("Notifica consegnata (%s).", "Telegram" if ok else "WebApp")
    else:
-        LOGGER.error("Notifica NON inviata (token/telegram).")
+        LOGGER.warning("Notifica NON consegnata (Telegram/WebApp).")
-        # Salva comunque lo state aggiornato
+        try:
-        state["active_events"] = active_events
+            from webapp_alert import remember_summary, message_to_plain
            remember_summary(state, message_to_plain(msg, is_html=False))
        except Exception:
            pass
    save_state(state)
@@ -41,6 +41,9 @@ ICON_DAILY_VARS = (
 PRECIP_HOURLY_KEYS = ("precipitation", "rain", "showers", "snowfall")
 PRECIP_DAILY_KEYS = ("precipitation_sum", "rain_sum", "showers_sum", "snowfall_sum", "precipitation_hours")
 WMO_PRECIP_CODES = frozenset(
    list(range(51, 68)) + list(range(71, 78)) + list(range(80, 83)) + [85, 86, 95, 96, 99]
 )
 def is_casa(lat: float, lon: float, tol: float = 0.01) -> bool:
@@ -84,6 +87,61 @@ def daily_precip_from_hourly(hourly: Dict) -> Dict[str, float]:
    return dict(out)
 def daily_component_from_hourly(hourly: Dict, key: str) -> Dict[str, float]:
    """Somma un campo orario (rain, showers, snowfall) per data locale YYYY-MM-DD."""
    times = hourly.get("time") or []
    arr = hourly.get(key) or []
    out: Dict[str, float] = defaultdict(float)
    for i, t in enumerate(times):
        if not t or i >= len(arr) or arr[i] is None:
            continue
        try:
            out[str(t)[:10]] += float(arr[i])
        except (TypeError, ValueError):
            continue
    return dict(out)
 def apply_hourly_daily_precip(daily: Dict, hourly: Dict) -> Dict:
    """Allinea i totali daily alla somma delle ore (stessa metrica della tabella oraria)."""
    daily = dict(daily)
    times = daily.get("time") or []
    mapping = {
        "precipitation_sum": daily_precip_from_hourly(hourly),
        "rain_sum": daily_component_from_hourly(hourly, "rain"),
        "showers_sum": daily_component_from_hourly(hourly, "showers"),
        "snowfall_sum": daily_component_from_hourly(hourly, "snowfall"),
    }
    for key, totals in mapping.items():
        arr = list(daily.get(key) or [])
        while len(arr) < len(times):
            arr.append(None)
        for i, t in enumerate(times):
            d = str(t)[:10]
            if d in totals:
                arr[i] = round(totals[d], 2)
        daily[key] = arr
    return daily
 def hourly_table_should_show(hours_from_start: int, precip_mm: float, weathercode: int = 0) -> bool:
    """
    Tabella 48h: prime 24 ore tutte; dalle 25 alle 48 ogni 2 ore,
    ma un'ora con precipitazione (mm o codice WMO) non viene mai omessa.
    """
    if hours_from_start < 24:
        return True
    if hours_from_start % 2 == 0:
        return True
    if float(precip_mm or 0) >= 0.1:
        return True
    try:
        code = int(weathercode or 0)
    except (TypeError, ValueError):
        code = 0
    return code in WMO_PRECIP_CODES
 def daily_precip_sum(daily: Dict, date_str: str) -> Optional[float]:
    times = daily.get("time") or []
    arr = daily.get("precipitation_sum") or []
@@ -125,8 +183,19 @@ def fetch_icon_italia(
    return None
 def _time_key(t) -> str:
    if not t:
        return ""
    return str(t).strip()[:16]
 def _index_by_time(section: Dict) -> Dict[str, int]:
-    return {str(t): i for i, t in enumerate(section.get("time") or [])}
+    out: Dict[str, int] = {}
    for i, t in enumerate(section.get("time") or []):
        k = _time_key(t)
        if k:
            out[k] = i
    return out
 def overlay_icon_precip_on_hourly(target: Dict, icon_hourly: Dict) -> Dict:
@@ -18,7 +18,7 @@ from open_meteo_precip import (
    CASA_LAT,
    CASA_LON,
    CASA_TZ,
-    daily_precip_from_hourly,
+    apply_hourly_daily_precip,
    fetch_icon_italia,
    hourly_precip_at_index,
    hourly_precip_series,
@@ -342,6 +342,38 @@ def _median_or_single(values):
    return median(nums)
 def _merge_weathercode(values, preferred=None):
    """
    Unisce codici WMO categorici con moda (mai mediana: 61+71 → 66 falso gelicidio).
    In pareggio preferisce `preferred` se presente tra i valori, altrimenti il primo.
    """
    ints = []
    for v in values:
        if v is None:
            continue
        try:
            ints.append(int(v))
        except (TypeError, ValueError):
            pass
    if not ints:
        return None
    if preferred is not None:
        try:
            preferred = int(preferred)
        except (TypeError, ValueError):
            preferred = None
    counts = {}
    for c in ints:
        counts[c] = counts.get(c, 0) + 1
    max_count = max(counts.values())
    modes = [c for c, n in counts.items() if n == max_count]
    if len(modes) == 1:
        return modes[0]
    if preferred is not None and preferred in modes:
        return preferred
    return ints[0]
 # Chiavi solo ICON Italia (precip 0–2d: niente mediana con AROME HD a San Marino)
 HOURLY_KEYS_ICON_ONLY = [
    "snow_depth", "showers", "precipitation", "rain", "snowfall",
@@ -349,6 +381,7 @@ HOURLY_KEYS_ICON_ONLY = [
 DAILY_KEYS_ICON_ONLY = [
    "showers_sum", "precipitation_sum", "rain_sum", "snowfall_sum", "precipitation_hours",
 ]
 PREFERRED_WEATHERCODE_MODEL = "italia_meteo_arpae_icon_2i"
 def _merge_hourly_median(hourly_by_model, single_source_keys=None, single_source_model=None):
@@ -397,16 +430,25 @@ def _merge_hourly_median(hourly_by_model, single_source_keys=None, single_source
                out[key].append(val)
            else:
                vals = []
                preferred_wc = None
                for _m, h in hourly_by_model:
                    times = h.get("time", []) or []
                    arr = h.get(key, []) or []
                    for i, t in enumerate(times):
                        if _normalize_time_key(str(t)) == ref_k and i < len(arr) and arr[i] is not None:
                            try:
                                if key == "weathercode":
                                    vals.append(int(arr[i]))
                                    if _m == PREFERRED_WEATHERCODE_MODEL:
                                        preferred_wc = int(arr[i])
                                else:
                                    vals.append(float(arr[i]))
                            except (TypeError, ValueError):
                                pass
                            break
                if key == "weathercode":
                    out[key].append(_merge_weathercode(vals, preferred=preferred_wc) if vals else None)
                else:
                    out[key].append(_median_or_single(vals) if vals else None)
    n = len(out["time"])
    if n > 1:
@@ -461,16 +503,25 @@ def _merge_daily_median(daily_by_model, single_source_keys=None, single_source_m
                out[key].append(val)
            else:
                vals = []
                preferred_wc = None
                for _m, d in daily_by_model:
                    times = d.get("time", []) or []
                    arr = d.get(key, []) or []
                    for i, t in enumerate(times):
                        if str(t)[:10] == date_str and i < len(arr) and arr[i] is not None:
                            try:
                                if key == "weathercode":
                                    vals.append(int(arr[i]))
                                    if _m == PREFERRED_WEATHERCODE_MODEL:
                                        preferred_wc = int(arr[i])
                                else:
                                    vals.append(float(arr[i]))
                            except (TypeError, ValueError):
                                pass
                            break
                if key == "weathercode":
                    out[key].append(_merge_weathercode(vals, preferred=preferred_wc) if vals else None)
                else:
                    out[key].append(_median_or_single(vals) if vals else None)
    # Ordina cronologicamente (evita buchi nel report se l'unione non era ordinata)
    n = len(out["time"])
@@ -509,6 +560,7 @@ def merge_multi_model_forecast(models_data, forecast_days=10):
            "snowfall": [],
            "snow_depth": [],
            "rain": [],
            "showers": [],
            "weathercode": [],
            "windspeed_10m": [],
            "winddirection_10m": [],
@@ -675,7 +727,7 @@ def format_day_label(day_index: int, daily_time_list, with_relative: bool = True
    return f"giorno {day_index + 1}"
 def analyze_temperature_trend(daily_temps_max, daily_temps_min, days=10):
-    """Analizza trend temperatura per identificare fronti caldi/freddi con dettaglio completo"""
+    """Analizza trend di Tmax e Tmin (non la media giornaliera) per identificare cali/rialzi."""
    if not daily_temps_max or not daily_temps_min:
        return None
@@ -683,93 +735,105 @@ def analyze_temperature_trend(daily_temps_max, daily_temps_min, days=10):
    if max_days < 3:
        return None
-    # Filtra valori None e calcola temperature medie giornaliere
+    tmax_series = []
-    avg_temps = []
+    tmin_series = []
    valid_indices = []
    for i in range(max_days):
        t_max = daily_temps_max[i]
        t_min = daily_temps_min[i]
        if t_max is not None and t_min is not None:
-            avg_temps.append((float(t_max) + float(t_min)) / 2)
+            tmax_series.append(float(t_max))
-            valid_indices.append(i)
+            tmin_series.append(float(t_min))
        else:
-            avg_temps.append(None)
+            tmax_series.append(None)
            tmin_series.append(None)
-    if len([t for t in avg_temps if t is not None]) < 3:
+    valid_max = [t for t in tmax_series if t is not None]
    valid_min = [t for t in tmin_series if t is not None]
    if len(valid_max) < 3 or len(valid_min) < 3:
        return None
-    # Analizza tendenza generale (prime 3 giorni vs ultimi 3 giorni validi)
+    first_max = mean(valid_max[:3])
-    valid_temps = [t for t in avg_temps if t is not None]
+    last_max = mean(valid_max[-3:])
-    if len(valid_temps) < 3:
+    first_min = mean(valid_min[:3])
-        return None
+    last_min = mean(valid_min[-3:])
    delta_max = last_max - first_max
    delta_min = last_min - first_min
    # Delta dominante per classificare il tipo (maggiore |Δ|)
    if abs(delta_max) >= abs(delta_min):
        primary_delta = delta_max
        primary_series = "max"
    else:
        primary_delta = delta_min
        primary_series = "min"
-    first_avg = mean(valid_temps[:3])
+    # Contesto: massime finali ancora elevate → niente retorica "fronte freddo" invernale
-    last_avg = mean(valid_temps[-3:])
+    warm_context = last_max >= 25.0
    diff = last_avg - first_avg
    trend_type = None
    trend_intensity = "moderato"
-    
+    if primary_delta > 5:
-    if diff > 5:
+        trend_type = "fronte_caldo" if not warm_context or primary_delta > 8 else "riscaldamento"
-        trend_type = "fronte_caldo"
+        trend_intensity = "forte" if primary_delta > 8 else "moderato"
-        trend_intensity = "forte" if diff > 8 else "moderato"
+    elif primary_delta > 2:
    elif diff > 2:
        trend_type = "riscaldamento"
        trend_intensity = "moderato"
-    elif diff < -5:
+    elif primary_delta < -5:
        if warm_context:
            trend_type = "calo_termico"
        else:
            trend_type = "fronte_freddo"
-        trend_intensity = "forte" if diff < -8 else "moderato"
+        trend_intensity = "forte" if primary_delta < -8 else "moderato"
-    elif diff < -2:
+    elif primary_delta < -2:
        trend_type = "raffreddamento"
        trend_intensity = "moderato"
    else:
        trend_type = "stabile"
    # Identifica giorni di cambio significativo
    change_days = []
-    prev_temp = None
+    prev_max = prev_min = None
-    for i, temp in enumerate(avg_temps):
+    for i in range(max_days):
-        if temp is not None:
+        tm = tmax_series[i]
-            if prev_temp is not None:
+        tn = tmin_series[i]
-                day_diff = temp - prev_temp
+        if tm is not None and tn is not None:
-                if abs(day_diff) > 3:  # Cambio significativo (>3°C)
+            if prev_max is not None and prev_min is not None:
                d_max = tm - prev_max
                d_min = tn - prev_min
                if abs(d_max) > 3:
                    change_days.append({
                        "day": i,
-                        "delta": round(day_diff, 1),
+                        "series": "max",
-                        "from": round(prev_temp, 1),
+                        "delta": round(d_max, 1),
-                        "to": round(temp, 1)
+                        "from": round(prev_max, 1),
                        "to": round(tm, 1),
                    })
-            prev_temp = temp
+                if abs(d_min) > 3:
-    
+                    change_days.append({
-    # Analisi per periodi (primi 3 giorni, medio termine, lungo termine)
+                        "day": i,
-    period_analysis = {}
+                        "series": "min",
-    if len(valid_temps) >= 7:
+                        "delta": round(d_min, 1),
-        period_analysis["short_term"] = {
+                        "from": round(prev_min, 1),
-            "avg": round(mean(valid_temps[:3]), 1),
+                        "to": round(tn, 1),
-            "range": round(max(valid_temps[:3]) - min(valid_temps[:3]), 1)
+                    })
-        }
+            prev_max, prev_min = tm, tn
        mid_start = len(valid_temps) // 3
        mid_end = (len(valid_temps) * 2) // 3
        period_analysis["mid_term"] = {
            "avg": round(mean(valid_temps[mid_start:mid_end]), 1),
            "range": round(max(valid_temps[mid_start:mid_end]) - min(valid_temps[mid_start:mid_end]), 1)
        }
        period_analysis["long_term"] = {
            "avg": round(mean(valid_temps[-3:]), 1),
            "range": round(max(valid_temps[-3:]) - min(valid_temps[-3:]), 1)
        }
    return {
        "type": trend_type,
        "intensity": trend_intensity,
-        "delta": round(diff, 1),
+        "delta": round(primary_delta, 1),
        "delta_max": round(delta_max, 1),
        "delta_min": round(delta_min, 1),
        "primary_series": primary_series,
        "warm_context": warm_context,
        "change_days": change_days,
-        "first_avg": round(first_avg, 1),
+        "first_max": round(first_max, 1),
-        "last_avg": round(last_avg, 1),
+        "last_max": round(last_max, 1),
-        "period_analysis": period_analysis,
+        "first_min": round(first_min, 1),
-        "daily_avg_temps": avg_temps,
+        "last_min": round(last_min, 1),
        # Compatibilità chiavi legacy (usate da generate_practical_advice)
        "first_avg": round((first_max + first_min) / 2, 1),
        "last_avg": round((last_max + last_min) / 2, 1),
        "daily_max": daily_temps_max[:max_days],
-        "daily_min": daily_temps_min[:max_days]
+        "daily_min": daily_temps_min[:max_days],
    }
 def analyze_weather_transitions(daily_weathercodes):
@@ -807,13 +871,18 @@ def analyze_weather_transitions(daily_weathercodes):
    return transitions
-def get_precip_type(code):
+def get_precip_type(code, temp=None):
-    """Definisce il tipo di precipitazione in base al codice WMO."""
+    """Definisce il tipo di precipitazione in base al codice WMO (gate termico per neve/gelicidio)."""
-    if (71 <= code <= 77) or code in [85, 86]:
+    try:
        code = int(code) if code is not None else 0
    except (TypeError, ValueError):
        code = 0
    cold_enough = temp is None or float(temp) <= 1.0
    if ((71 <= code <= 77) or code in [85, 86]) and cold_enough:
        return "❄️ Neve"
    if code in [96, 99]:
        return "⚡🌨 Grandine"
-    if code in [66, 67]:
+    if code in [66, 67] and cold_enough:
        return "🧊☔ Pioggia Congelantesi"
    return "☔ Pioggia"
@@ -824,6 +893,40 @@ def get_intensity_label(mm_h):
        return "Moderata"
    return "Forte ⚠️"
 def _add_one_hour_hhmm(hhmm):
    """Somma 1 ora a una stringa HH:MM (mod 24)."""
    try:
        h, m = hhmm.split(":")
        return f"{(int(h) + 1) % 24:02d}:{int(m):02d}"
    except (ValueError, AttributeError):
        return hhmm
 def _format_event_hours(times, start_idx, end_idx_inclusive):
    """
    Formato HH:MM-HH:MM per bucket orari Open-Meteo.
    Una sola ora → 20:00-21:00 (mai 20:00-20:00). Fine = ora successiva all'ultima inclusa.
    """
    if not times or start_idx < 0 or start_idx >= len(times):
        return "??:??-??:??"
    end_idx_inclusive = max(start_idx, min(end_idx_inclusive, len(times) - 1))
    start_time = times[start_idx].split("T")[1][:5] if "T" in str(times[start_idx]) else str(times[start_idx])[:5]
    next_idx = end_idx_inclusive + 1
    if next_idx < len(times):
        end_time = times[next_idx].split("T")[1][:5] if "T" in str(times[next_idx]) else str(times[next_idx])[:5]
    else:
        last_t = times[end_idx_inclusive].split("T")[1][:5] if "T" in str(times[end_idx_inclusive]) else str(times[end_idx_inclusive])[:5]
        end_time = _add_one_hour_hhmm(last_t)
    if start_time == end_time:
        end_time = _add_one_hour_hhmm(start_time)
    return f"{start_time}-{end_time}"
 ICE_EVENT_MAX_AIR_TEMP = 2.0  # scarta pericoli invernali se Tmin blocco > questa soglia
 GELICIDIO_MAX_AIR_TEMP = 1.0
 def analyze_daily_events(times, codes, probs, precip, winds, temps, dewpoints, snowfalls=None, rains=None, soil_temps=None, cloud_covers=None, wind_speeds=None):
    """Scansiona le 24 ore e trova blocchi di eventi continui."""
    events = []
@@ -838,14 +941,13 @@ def analyze_daily_events(times, codes, probs, precip, winds, temps, dewpoints, s
    if cloud_covers is None:
        cloud_covers = [None] * len(times)
    if wind_speeds is None:
-        wind_speeds = [None] * len(times)
+        wind_speeds = winds if winds else [None] * len(times)
-    # Calcola precipitazioni cumulative delle 3h precedenti per ogni punto
+    # Calcola precipitazioni cumulate nelle 3h precedenti per ogni ora
    precip_3h_sum = []
    rain_3h_sum = []
    snow_3h_sum = []
    for i in range(len(times)):
        # Somma delle 3 ore precedenti (i-3, i-2, i-1)
        start_idx = max(0, i - 3)
        precip_sum = sum([float(p) if p is not None else 0.0 for p in precip[start_idx:i]])
        rain_sum = sum([float(r) if r is not None else 0.0 for r in rains[start_idx:i]])
@@ -854,7 +956,7 @@ def analyze_daily_events(times, codes, probs, precip, winds, temps, dewpoints, s
        rain_3h_sum.append(rain_sum)
        snow_3h_sum.append(snow_sum)
-    # 1. PERICOLI (Ghiaccio, Gelo, Brina) - Logica migliorata allineata a check_ghiaccio.py
+    # 1. PERICOLI (Ghiaccio, Gelo, Brina) - con gate termici anti falsi positivi estivi
    in_ice = False
    start_ice = 0
    ice_type = "" 
@@ -883,7 +985,7 @@ def analyze_daily_events(times, codes, probs, precip, winds, temps, dewpoints, s
        try:
            hour = int(times[i].split("T")[1].split(":")[0]) if "T" in times[i] else 12
            is_night = (hour >= 18) or (hour <= 6)
-        except:
+        except Exception:
            is_night = False
        # Calcola temperatura suolo: usa valore misurato se disponibile, altrimenti stima (1-2°C più fredda)
@@ -891,48 +993,41 @@ def analyze_daily_events(times, codes, probs, precip, winds, temps, dewpoints, s
            t_soil = t - 1.5  # Approssimazione conservativa
        # Applica raffreddamento radiativo: cielo sereno + notte + vento debole
        # Riduce la temperatura del suolo di 0.5-1.5°C (come in check_ghiaccio.py)
        t_soil_adjusted = t_soil
        if is_night and cloud is not None and cloud < 20.0:
            if wind is None or wind < 5.0:
-                cooling = 1.5  # Vento molto debole = più raffreddamento
+                cooling = 1.5
            elif wind < 10.0:
                cooling = 1.0
            else:
                cooling = 0.5
            t_soil_adjusted = t_soil - cooling
        # Precipitazioni nelle 3h precedenti
        p_3h = precip_3h_sum[i] if i < len(precip_3h_sum) else 0.0
        r_3h = rain_3h_sum[i] if i < len(rain_3h_sum) else 0.0
        s_3h = snow_3h_sum[i] if i < len(snow_3h_sum) else 0.0
        # LOGICA MIGLIORATA (allineata a check_ghiaccio.py):
        current_ice_condition = None
-        # 1. GELICIDIO (Freezing Rain) - priorità massima
+        # 1. GELICIDIO: codice 66/67 richiede anche T aria <= soglia (evita WMO spurii in estate)
        is_raining_code = (50 <= c <= 69) or (80 <= c <= 82)
-        if c in [66, 67] or (p > 0 and t <= 0 and is_raining_code):
+        if (c in [66, 67] and t <= GELICIDIO_MAX_AIR_TEMP) or (p > 0 and t <= 0 and is_raining_code):
            current_ice_condition = "🧊☠️ GELICIDIO"
-        # 2. Black Ice o Neve Ghiacciata - Precipitazione nelle 3h precedenti + suolo gelato
+        # 2. Black Ice o Neve Ghiacciata
-        elif p_3h > 0.1 and t_soil_adjusted < 0.0:
+        elif p_3h > 0.1 and t_soil_adjusted < 0.0 and t <= ICE_EVENT_MAX_AIR_TEMP:
            # Distingue tra neve e pioggia
            has_snow = (s_3h > 0.1) or (snowfall_curr > 0.1)
            has_rain = (r_3h > 0.1) or (rain_curr > 0.1)
            if has_snow:
                current_ice_condition = "⛸️⚠️ Neve ghiacciata (suolo gelato)"
            elif has_rain:
                current_ice_condition = "⛸️⚠️ Black Ice (strada bagnata + suolo gelato)"
            else:
                current_ice_condition = "⛸️⚠️ Black Ice (strada bagnata + suolo gelato)"
-        # 3. BRINA (Hoar Frost) - Suolo <= 0°C e punto di rugiada > suolo ma < 0°C
+        # 3. BRINA
-        elif p_3h <= 0.1 and t_soil_adjusted <= 0.0 and d is not None:
+        elif p_3h <= 0.1 and t_soil_adjusted <= 0.0 and d is not None and t <= ICE_EVENT_MAX_AIR_TEMP:
            if d > t_soil_adjusted and d < 0.0:
                current_ice_condition = "⛸️⚠️ GHIACCIO/BRINA"
-        # 4. GELATA - Temperatura aria < 0°C (senza altre condizioni)
+        # 4. GELATA
        elif t < 0:
            current_ice_condition = "🧊 Gelata"
@@ -941,28 +1036,51 @@ def analyze_daily_events(times, codes, probs, precip, winds, temps, dewpoints, s
            start_ice = i
            ice_type = current_ice_condition
        elif (not current_ice_condition and in_ice) or (in_ice and current_ice_condition != ice_type) or (in_ice and i == len(times)-1):
-            end_idx = i if not current_ice_condition else i 
+            if not current_ice_condition and in_ice:
-            if end_idx > start_ice: 
+                end_inclusive = i - 1
-                start_time = times[start_ice].split("T")[1][:5]
+            elif in_ice and current_ice_condition and current_ice_condition != ice_type:
-                end_time = times[min(end_idx, len(times)-1)].split("T")[1][:5]
+                end_inclusive = i - 1
                temp_block = temps[start_ice:min(end_idx+1, len(temps))]
                temp_block_clean = [t for t in temp_block if t is not None]
                min_t = min(temp_block_clean) if temp_block_clean else 0
                # Per GHIACCIO/BRINA, verifica che la temperatura minima sia effettivamente sotto/sopra soglia critica
                # Se la temperatura minima è > 1.5°C, non è un rischio reale
                if ice_type == "⛸️⚠️ GHIACCIO/BRINA" and min_t > 1.5:
                    # Non segnalare se la temperatura minima è troppo alta
                    pass
            else:
-                    events.append(f"{ice_type}: {start_time}-{end_time} (Min: {min_t:.0f}°C)")
+                end_inclusive = i
            if end_inclusive >= start_ice:
                hours_str = _format_event_hours(times, start_ice, end_inclusive)
                temp_block = temps[start_ice:end_inclusive + 1]
                temp_block_clean = [tv for tv in temp_block if tv is not None]
                min_t = min(temp_block_clean) if temp_block_clean else 0
                # Gate termico su tutti i pericoli invernali (non solo brina)
                if min_t <= ICE_EVENT_MAX_AIR_TEMP:
                    events.append(f"{ice_type}: {hours_str} (Min: {min_t:.0f}°C)")
            in_ice = False
            if current_ice_condition:
                in_ice = True
                start_ice = i
                ice_type = current_ice_condition
-    # 2. PRECIPITAZIONI
+    # 2. PRECIPITAZIONI — tot_mm è sempre la somma del solo blocco orario (mai il totale giorno)
    def _precip_type_at(idx):
        code_val = codes[idx] if idx < len(codes) and codes[idx] is not None else 0
        t_val = temps[idx] if idx < len(temps) and temps[idx] is not None else None
        try:
            code_val = int(code_val) if code_val is not None else 0
        except (ValueError, TypeError):
            code_val = 0
        return get_precip_type(code_val, temp=t_val)
    def _emit_rain(start, end_inclusive, rain_type):
        if end_inclusive < start:
            return
        block_precip = precip[start:end_inclusive + 1]
        block_precip_clean = [p for p in block_precip if p is not None]
        tot_mm = sum(float(p) for p in block_precip_clean)
        if tot_mm <= 0:
            return
        hours_str = _format_event_hours(times, start, end_inclusive)
        avg_intensity = tot_mm / len(block_precip) if block_precip else 0
        events.append(
            f"{rain_type} ({get_intensity_label(avg_intensity)}):\n"
            f"      🕒 {hours_str} | 💧 {tot_mm:.1f}mm"
        )
    in_rain = False
    start_idx = 0
    current_rain_type = ""
@@ -970,54 +1088,23 @@ def analyze_daily_events(times, codes, probs, precip, winds, temps, dewpoints, s
    for i in range(len(times)):
        p_val = precip[i] if i < len(precip) and precip[i] is not None else 0
        is_raining = p_val >= MIN_MM_PER_EVENTO
        is_last = i == len(times) - 1
        if is_raining and not in_rain:
            in_rain = True
            start_idx = i
-            code_val = codes[i] if i < len(codes) and codes[i] is not None else 0
+            current_rain_type = _precip_type_at(i)
-            try:
+        elif in_rain and is_raining:
-                code_val = int(code_val) if code_val is not None else 0
+            new_type = _precip_type_at(i)
            except (ValueError, TypeError):
                code_val = 0
            current_rain_type = get_precip_type(code_val)
        elif in_rain and is_raining and i < len(codes):
            code_val = codes[i] if codes[i] is not None else 0
            try:
                code_val = int(code_val) if code_val is not None else 0
            except (ValueError, TypeError):
                code_val = 0
            new_type = get_precip_type(code_val)
            if new_type != current_rain_type:
-                end_idx = i
+                _emit_rain(start_idx, i - 1, current_rain_type)
                block_precip = precip[start_idx:end_idx] if end_idx <= len(precip) else precip[start_idx:]
                block_precip_clean = [p for p in block_precip if p is not None]
                tot_mm = sum(block_precip_clean)
                start_time = times[start_idx].split("T")[1][:5]
                end_time = times[end_idx].split("T")[1][:5] if end_idx < len(times) else times[-1].split("T")[1][:5]
                avg_intensity = tot_mm / len(block_precip) if block_precip else 0
                events.append(
                    f"{current_rain_type} ({get_intensity_label(avg_intensity)}):\n"
                    f"      🕒 {start_time}-{end_time} | 💧 {tot_mm:.1f}mm"
                )
                start_idx = i
                current_rain_type = new_type
-        elif (not is_raining and in_rain) or (in_rain and i == len(times)-1):
+
        if in_rain and (not is_raining or is_last):
            end_inclusive = i if is_raining else i - 1
            _emit_rain(start_idx, end_inclusive, current_rain_type)
            in_rain = False
            end_idx = i if not is_raining else i + 1
            block_precip = precip[start_idx:end_idx] if end_idx <= len(precip) else precip[start_idx:]
            block_precip_clean = [p for p in block_precip if p is not None]
            tot_mm = sum(block_precip_clean)
            if tot_mm > 0:
                start_time = times[start_idx].split("T")[1][:5]
                end_time = times[min(end_idx-1, len(times)-1)].split("T")[1][:5]
                avg_intensity = tot_mm / len(block_precip) if block_precip else 0
                events.append(
                    f"{current_rain_type} ({get_intensity_label(avg_intensity)}):\n"
                    f"      🕒 {start_time}-{end_time} | 💧 {tot_mm:.1f}mm"
                )
    # 3. VENTO
    if winds:
@@ -1027,10 +1114,10 @@ def analyze_daily_events(times, codes, probs, precip, winds, temps, dewpoints, s
            if max_wind > SOGLIA_VENTO_KMH:
                try:
                    peak_idx = winds.index(max_wind)
-                except ValueError:
+                    peak_time = times[peak_idx].split("T")[1][:5]
-                    peak_idx = 0
+                    events.append(f"💨 Picco vento: {max_wind:.0f}km/h alle {peak_time}")
-                peak_time = times[min(peak_idx, len(times)-1)].split("T")[1][:5]
+                except (ValueError, IndexError, AttributeError):
-                events.append(f"💨 Vento Forte: Picco {max_wind:.0f}km/h alle {peak_time}")
+                    events.append(f"💨 Picco vento: {max_wind:.0f}km/h")
    return events
@@ -1042,6 +1129,8 @@ def generate_practical_advice(trend, transitions, events_summary, daily_data):
    if trend:
        if trend["type"] == "fronte_freddo" and trend["intensity"] == "forte":
            advice.append("❄️ <b>Fronte Freddo in Arrivo:</b> Preparati a temperature in calo significativo. Controlla riscaldamento, proteggi piante sensibili.")
        elif trend["type"] == "calo_termico" and trend["intensity"] == "forte":
            advice.append("📉 <b>Calo termico:</b> Massime e/o minime in netto ribasso rispetto all'inizio periodo, senza necessariamente gelo.")
        elif trend["type"] == "fronte_caldo" and trend["intensity"] == "forte":
            advice.append("🔥 <b>Ondata di Calore:</b> Temperature in aumento. Mantieni case fresche, idratazione importante, attenzione a persone fragili.")
        elif trend["type"] == "raffreddamento":
@@ -1075,55 +1164,58 @@ def generate_practical_advice(trend, transitions, events_summary, daily_data):
    return advice
 def format_detailed_trend_explanation(trend, daily_time_list=None, display_days=DISPLAY_FORECAST_DAYS):
-    """Genera spiegazione dettagliata del trend temperatura sui giorni in previsione."""
+    """Genera spiegazione dettagliata del trend su Tmax e Tmin (non temperature medie)."""
    if not trend:
        return ""
    explanation = []
    explanation.append(f"📊 <b>EVOLUZIONE TEMPERATURE ({display_days} GIORNI)</b>\n")
    # Trend principale con spiegazione chiara
    trend_type = trend["type"]
    intensity = trend["intensity"]
-    delta = trend['delta']
+    first_max = trend["first_max"]
-    first_avg = trend['first_avg']
+    last_max = trend["last_max"]
-    last_avg = trend['last_avg']
+    first_min = trend["first_min"]
    last_min = trend["last_min"]
    delta_max = trend["delta_max"]
    delta_min = trend["delta_min"]
    if trend_type == "fronte_caldo":
        trend_desc = "🔥 <b>Fronte Caldo in Arrivo</b>"
        desc_text = f"Arrivo di aria più calda: temperatura media passerà da {first_avg:.1f}°C a {last_avg:.1f}°C (+{delta:.1f}°C)."
    elif trend_type == "fronte_freddo":
        trend_desc = "❄️ <b>Fronte Freddo in Arrivo</b>"
-        desc_text = f"Arrivo di aria più fredda: temperatura media scenderà da {first_avg:.1f}°C a {last_avg:.1f}°C ({delta:+.1f}°C)."
+    elif trend_type == "calo_termico":
        trend_desc = "📉 <b>Calo Termico</b>"
    elif trend_type == "riscaldamento":
        trend_desc = "📈 <b>Riscaldamento Progressivo</b>"
        desc_text = f"Tendenza al rialzo delle temperature: da {first_avg:.1f}°C a {last_avg:.1f}°C (+{delta:.1f}°C)."
    elif trend_type == "raffreddamento":
        trend_desc = "📉 <b>Raffreddamento Progressivo</b>"
        desc_text = f"Tendenza al ribasso delle temperature: da {first_avg:.1f}°C a {last_avg:.1f}°C ({delta:+.1f}°C)."
    elif trend_type == "stabile":
        trend_desc = "➡️ <b>Temperature Stabili</b>"
        desc_text = f"Temperature medie sostanzialmente stabili: da {first_avg:.1f}°C a {last_avg:.1f}°C (variazione {delta:+.1f}°C)."
    else:
        trend_desc = "🌡️ <b>Variazione Termica</b>"
        desc_text = f"Evoluzione temperature: da {first_avg:.1f}°C a {last_avg:.1f}°C ({delta:+.1f}°C)."
    intensity_text = " (variazione significativa)" if intensity == "forte" else " (variazione moderata)"
    explanation.append(f"{trend_desc}{intensity_text}")
-    explanation.append(f"{desc_text}")
+    explanation.append(
        f"Massime: {first_max:.1f}→{last_max:.1f}°C ({delta_max:+.1f}°C). "
        f"Minime: {first_min:.1f}→{last_min:.1f}°C ({delta_min:+.1f}°C)."
    )
    # Aggiungi solo picchi significativi in modo sintetico (entro i giorni in tabella)
    if trend.get("change_days"):
        significant_changes = [
            c for c in trend["change_days"]
            if abs(c["delta"]) > 3.0 and c["day"] < display_days
-        ][:3]
+        ][:4]
        if significant_changes:
            change_texts = []
            for change in significant_changes:
                day_name = format_day_label(change["day"], daily_time_list or [])
-                direction = "↑" if change['delta'] > 0 else "↓"
+                direction = "↑" if change["delta"] > 0 else "↓"
-                change_texts.append(f"{direction} {day_name}: {change['from']:.0f}°→{change['to']:.0f}°C")
+                series_lbl = "max" if change.get("series") == "max" else "min"
                change_texts.append(
                    f"{direction} {day_name} {series_lbl}: {change['from']:.0f}°→{change['to']:.0f}°C"
                )
            if change_texts:
                explanation.append(f"Picchi: {', '.join(change_texts)}")
@@ -1146,16 +1238,7 @@ def _apply_unified_precip(hourly: Dict, daily: Dict, casa: bool) -> Tuple[Dict,
        if icon_d.get("time"):
            daily = overlay_icon_precip_on_daily(daily, icon_d)
    hourly["precipitation"] = hourly_precip_series(hourly)
-    totals = daily_precip_from_hourly(hourly)
+    daily = apply_hourly_daily_precip(daily, hourly)
    times = daily.get("time") or []
    psum = list(daily.get("precipitation_sum") or [])
    while len(psum) < len(times):
        psum.append(None)
    for i, t in enumerate(times):
        d = str(t)[:10]
        if d in totals:
            psum[i] = round(totals[d], 2)
    daily["precipitation_sum"] = psum
    return hourly, daily
@@ -1272,8 +1355,10 @@ def format_weather_context_report(models_data, location_name, country_code, as_j
        threshold_mm = 5.0  # Soglia default per pioggia
        if precip_amount > 0.1:
-            # Se snowfall è disponibile e positivo, usa quello (più preciso)
+            # Se snowfall è disponibile e positivo, usa quello (più preciso) solo con aria fredda
-            if snow_sum_day > 0.1:
+            temps_clean_day = [float(t) for t in d_temps_day if t is not None]
            day_t_min_early = min(temps_clean_day) if temps_clean_day else None
            if snow_sum_day > 0.1 and day_t_min_early is not None and day_t_min_early <= ICE_EVENT_MAX_AIR_TEMP:
                # Se c'è neve (anche poca), il simbolo è sempre ❄️ (priorità alla neve)
                    precip_type_symbol = "❄️"  # Neve
                    threshold_mm = 0.5  # Soglia più bassa per neve (anche pochi mm sono significativi)
@@ -1284,12 +1369,14 @@ def format_weather_context_report(models_data, location_name, country_code, as_j
                hail_codes = [96, 99]  # Codici WMO per grandine/temporale
                snow_count = sum(1 for c in d_codes_day if c is not None and int(c) in snow_codes)
                hail_count = sum(1 for c in d_codes_day if c is not None and int(c) in hail_codes)
                temps_clean = [float(t) for t in d_temps_day if t is not None]
                day_t_min = min(temps_clean) if temps_clean else None
                if hail_count > 0:
                    precip_type_symbol = "⛈️"  # Grandine/Temporale
                    threshold_mm = 5.0
-                elif snow_count > 0:
+                elif snow_count > 0 and day_t_min is not None and day_t_min <= ICE_EVENT_MAX_AIR_TEMP:
-                    # Solo se weathercode indica esplicitamente neve
+                    # Weathercode neve solo se aria vicino allo zero (evita falsi ❄️ estivi)
                    precip_type_symbol = "❄️"  # Neve
                    threshold_mm = 0.5  # Soglia più bassa per neve
@@ -1493,8 +1580,9 @@ def format_weather_context_report(models_data, location_name, country_code, as_j
            pass  # Gestito separatamente per l'icona meteo
        if precip_sum > 0.1:
            cold_enough_day = t_min <= ICE_EVENT_MAX_AIR_TEMP
            # Priorità 1: Se sta nevicando (snowfall > 0) e c'è manto nevoso, considera entrambi
-            if has_snow_depth_data and max_snow_depth > 0:
+            if cold_enough_day and has_snow_depth_data and max_snow_depth > 0:
                # C'è sia neve in caduta che manto nevoso persistente
                if rain_sum > 0.1 or showers_sum > 0.1:
                    precip_type = "mixed"  # Neve + pioggia/temporali
@@ -1505,7 +1593,7 @@ def format_weather_context_report(models_data, location_name, country_code, as_j
                    # Il tipo di precipitazione resta quello basato su snowfall/rain
                    pass
            # Priorità 2: Usa dati daily se disponibili
-            elif snowfall_sum > 0.1:
+            elif cold_enough_day and snowfall_sum > 0.1:
                # C'è neve significativa
                if snowfall_sum >= precip_sum * 0.5:
                    precip_type = "snow"
@@ -1527,7 +1615,7 @@ def format_weather_context_report(models_data, location_name, country_code, as_j
            else:
                # Fallback: usa dati hourly se daily non disponibili
                snow_sum_day = sum([float(s) for s in d_snow if s is not None]) if d_snow else 0.0
-                if snow_sum_day > 0.1:
+                if snow_sum_day > 0.1 and t_min <= ICE_EVENT_MAX_AIR_TEMP:
                    if snow_sum_day >= precip_sum * 0.5:
                        precip_type = "snow"
                    else:
@@ -1543,7 +1631,7 @@ def format_weather_context_report(models_data, location_name, country_code, as_j
                    if hail_count > 0:
                        precip_type = "hail"
-                    elif snow_count > rain_count:
+                    elif snow_count > rain_count and t_min is not None and float(t_min) <= ICE_EVENT_MAX_AIR_TEMP:
                        precip_type = "snow"
                    else:
                        precip_type = "rain"
@@ -1563,8 +1651,8 @@ def format_weather_context_report(models_data, location_name, country_code, as_j
                weather_icon = "🌨️"  # Precipitazione mista
            else:
                weather_icon = "🌧️"  # Pioggia
-        elif has_snow_depth_data and max_snow_depth > 0:
+        elif has_snow_depth_data and max_snow_depth > 0 and t_min <= ICE_EVENT_MAX_AIR_TEMP:
-            # C'è manto nevoso persistente anche senza precipitazioni
+            # C'è manto nevoso persistente anche senza precipitazioni (solo se aria abbastanza fredda)
            # Mostra icona neve anche se non sta nevicando
            weather_icon = "❄️"  # Manto nevoso presente
        elif t_min < 0:
@@ -1698,23 +1786,36 @@ def format_weather_context_report(models_data, location_name, country_code, as_j
        if day_info['precip_sum'] > 0.1:
            # Caratterizza usando dati daily se disponibili
            precip_parts = []
            snow_sum = day_info.get("snowfall_sum", 0) or 0
            rain_sum = day_info.get("rain_sum", 0) or 0
            showers_sum = day_info.get("showers_sum", 0) or 0
            precip_sum = day_info.get("precip_sum", 0) or 0
-            # Neve
+            if snow_sum > 0.1 and day_info["t_min"] <= ICE_EVENT_MAX_AIR_TEMP:
-            if day_info.get('snowfall_sum', 0) > 0.1:
+                precip_parts.append(f"❄️ {snow_sum:.1f}cm")
                precip_parts.append(f"❄️ {day_info['snowfall_sum']:.1f}cm")
-            # Pioggia
+            overlapping = (
-            if day_info.get('rain_sum', 0) > 0.1:
+                rain_sum > 0.1 and showers_sum > 0.1 and (
-                precip_parts.append(f"🌧️ {day_info['rain_sum']:.1f}mm")
+                    abs(rain_sum - precip_sum) < 0.25
-            
+                    or abs(showers_sum - precip_sum) < 0.25
-            # Temporali (showers)
+                    or (rain_sum + showers_sum) > precip_sum + 0.3
-            if day_info.get('showers_sum', 0) > 0.1:
+                )
-                precip_parts.append(f"⛈️ {day_info['showers_sum']:.1f}mm")
+            )
-            
+            if overlapping or (rain_sum <= 0.1 and showers_sum <= 0.1):
-            # Se non abbiamo dati daily dettagliati, usa il tipo generale
+                if precip_sum > 0.1:
-            if not precip_parts:
+                    precip_symbol = (
-                precip_symbol = "❄️" if day_info['precip_type'] == "snow" else "⛈️" if day_info['precip_type'] in ("hail", "thunderstorms") else "🌨️" if day_info['precip_type'] == "mixed" else "🌧️"
+                        "❄️" if day_info["precip_type"] == "snow"
-                precip_parts.append(f"{precip_symbol} {day_info['precip_sum']:.1f}mm")
+                        else "⛈️" if day_info["precip_type"] in ("hail", "thunderstorms")
                        else "🌨️" if day_info["precip_type"] == "mixed"
                        else "🌧️"
                    )
                    if not (day_info["precip_type"] == "snow" and snow_sum > 0.1 and day_info["t_min"] <= ICE_EVENT_MAX_AIR_TEMP):
                        precip_parts.append(f"{precip_symbol} {precip_sum:.1f}mm")
            else:
                if rain_sum > 0.1:
                    precip_parts.append(f"🌧️ {rain_sum:.1f}mm")
                if showers_sum > 0.1:
                    precip_parts.append(f"⛈️ {showers_sum:.1f}mm")
            line += f" | {' + '.join(precip_parts)}"
@@ -1738,7 +1839,7 @@ def format_weather_context_report(models_data, location_name, country_code, as_j
            elif snow_depth_avg is not None and snow_depth_avg > 0:
                snow_depth_end = snow_depth_avg  # Usa la media come fallback
-        if snow_depth_end is not None and snow_depth_end > 0:
+        if snow_depth_end is not None and snow_depth_end > 0 and day_info['t_min'] <= ICE_EVENT_MAX_AIR_TEMP:
            snow_depth_str = f"❄️ Manto nevoso: {snow_depth_end:.1f} cm"
            # Mostra evoluzione rispetto al giorno precedente
            if prev_snow_depth_end is not None:
@@ -273,15 +273,12 @@ def telegram_send_html(message_html: str, chat_ids: Optional[List[str]] = None)
        chat_ids: Lista di chat IDs (default: TELEGRAM_CHAT_IDS)
    """
    try:
-        from telegram_gate import mirror_alert_to_web, telegram_alerts_enabled
+        from telegram_gate import telegram_alerts_enabled
    except ImportError:
        telegram_alerts_enabled = lambda: True  # type: ignore
        mirror_alert_to_web = lambda *a, **k: False  # type: ignore
    if not telegram_alerts_enabled():
        LOGGER.info("Telegram sospeso: skip severe_weather")
        if message_html:
            mirror_alert_to_web(message_html, "severe_weather", "warning", is_html=True)
        return False
    token = load_bot_token()
@@ -315,15 +312,6 @@ def telegram_send_html(message_html: str, chat_ids: Optional[List[str]] = None)
            except Exception as e:
                LOGGER.exception("Telegram exception chat_id=%s err=%s", chat_id, e)
    if sent_ok:
        try:
            import sys
            sys.path.insert(0, "/home/daniely/docker/shared")
            from loogle_core.alert_dispatcher import mirror_to_web
            mirror_to_web(message_html, "severe_weather", "warning", is_html=True)
        except Exception as e:
            LOGGER.debug("Web dispatch failed: %s", e)
    return sent_ok
@@ -1859,10 +1847,7 @@ def analyze(chat_ids: Optional[List[str]] = None, debug_mode: bool = False, lat:
        msg = f"{headline}\n{meta}\n{body}{footer}"
        ok = telegram_send_html(msg, chat_ids=chat_ids)
-        if ok:
+        web_ok = False
            LOGGER.info("Alert sent successfully.")
        else:
            LOGGER.warning("Alert NOT sent (token missing or Telegram error).")
        # IMPORTANTE: Imposta alert_active = True solo se c'è una vera allerta,
        # non se è solo un messaggio informativo in modalità debug
@@ -1879,10 +1864,23 @@ def analyze(chat_ids: Optional[List[str]] = None, debug_mode: bool = False, lat:
            state["alert_active"] = True
            state["last_alert_type"] = alert_types if alert_types else None
            state["last_alert_time"] = now.isoformat()
-            if ok:
+            try:
                from webapp_alert import publish_web_alert
                web_ok = bool(publish_web_alert(msg, "severe_weather", "warning", is_html=True, state=state))
            except Exception as e:
                LOGGER.debug("Web summary failed: %s", e)
            if ok or web_ok:
                record_notify_message(now, state, alert_signature)
            save_state(state)
        if ok:
            LOGGER.info("Alert sent successfully (Telegram).")
        elif web_ok:
            LOGGER.info("Alert published on WebApp.")
        else:
            LOGGER.warning("Alert NOT delivered (Telegram/WebApp).")
        if debug_message_only:
            # In debug mode senza vere allerte, non modificare alert_active
            LOGGER.debug("[DEBUG MODE] Messaggio inviato ma alert_active non modificato (nessuna vera allerta)")
        return
@@ -1942,7 +1940,7 @@ def analyze(chat_ids: Optional[List[str]] = None, debug_mode: bool = False, lat:
        if ok:
            LOGGER.info("All-clear sent successfully.")
        else:
-            LOGGER.warning("All-clear NOT sent (token missing or Telegram error).")
+            LOGGER.info("All-clear Telegram skip/fail (WebApp primaria se attiva).")
        state = {
            "alert_active": False,
@@ -814,12 +814,30 @@ def analyze_all_locations(debug_mode: bool = False) -> None:
        return
    ok = telegram_send_html(msg, chat_ids=[TELEGRAM_CHAT_IDS[0]] if debug_mode else None)
-    if ok:
+    web_ok = False
-        LOGGER.info("Alert inviato (%s) per %d località significative", category, len(significant_locations))
+    try:
-    else:
+        from webapp_alert import publish_web_alert
-        LOGGER.warning("Alert NON inviato (token missing o errore Telegram)")
+        web_ok = bool(publish_web_alert(msg, "severe_circondario", "warning", is_html=True, state=state))
    except Exception as e:
        LOGGER.debug("Web summary failed: %s", e)
-    if ok and not debug_mode:
+    delivered = bool(ok or web_ok)
    if ok:
        LOGGER.info("Alert inviato su Telegram (%s) per %d località significative", category, len(significant_locations))
    elif web_ok:
        LOGGER.info("Alert pubblicato su WebApp (%s) per %d località significative", category, len(significant_locations))
    else:
        try:
            from telegram_gate import telegram_alerts_enabled
            suspended = not telegram_alerts_enabled()
        except Exception:
            suspended = False
        if suspended:
            LOGGER.warning("Alert NON pubblicato su WebApp (Telegram sospeso)")
        else:
            LOGGER.warning("Alert NON inviato (errore Telegram o WebApp)")
    if delivered and not debug_mode:
        record_notify(category, now, state)
        state["last_signature"] = signature
        state["last_signature_date"] = today
@@ -135,6 +135,34 @@ def hhmm(dt: datetime.datetime) -> str:
    return dt.strftime("%H:%M")
 _WEEKDAYS_IT = ("lun", "mar", "mer", "gio", "ven", "sab", "dom")
 def format_clock(dt: datetime.datetime, ref: Optional[datetime.datetime] = None) -> str:
    """HH:MM, con giorno corto se diverso da ref (default: oggi locale)."""
    ref = ref or now_local()
    label = hhmm(dt)
    if dt.date() != ref.date():
        return f"{_WEEKDAYS_IT[dt.weekday()]} {label}"
    return label
 def format_fascia(
    start: Optional[datetime.datetime],
    end: Optional[datetime.datetime],
    ref: Optional[datetime.datetime] = None,
 ) -> str:
    """Fascia leggibile ~HH:MM–~HH:MM (con giorno se serve)."""
    if start is None:
        return "—"
    ref = ref or now_local()
    a = format_clock(start, ref)
    if end is None or end == start:
        return f"~{a}"
    b = format_clock(end, ref)
    return f"~{a}–~{b}"
 # =============================================================================
 # Telegram
 # =============================================================================
@@ -202,20 +230,100 @@ def load_state() -> Dict:
    return default
-def save_state(alert_active: bool, signature: str) -> None:
+def save_state(alert_active: bool, signature: str, detail: Optional[Dict] = None) -> None:
    try:
        os.makedirs(os.path.dirname(STATE_FILE), exist_ok=True)
        payload: Dict = {
            "alert_active": alert_active,
            "signature": signature,
            "updated": now_local().isoformat(),
        }
        if detail:
            payload.update(detail)
        with open(STATE_FILE, "w", encoding="utf-8") as f:
-            json.dump(
+            json.dump(payload, f, ensure_ascii=False, indent=2)
                {"alert_active": alert_active, "signature": signature, "updated": now_local().isoformat()},
                f,
                ensure_ascii=False,
                indent=2,
            )
    except Exception as e:
        LOGGER.exception("State write error: %s", e)
 def build_plain_summary(bo_alerts: Dict, route_alerts: List[Dict]) -> str:
    """Testo leggibile per WebApp (dove / eventi / quando)."""
    any_snow = bool(bo_alerts.get("snow_alert")) or any(x.get("snow_alert") for x in route_alerts)
    any_rain = bool(bo_alerts.get("rain_alert")) or any(x.get("rain_alert") for x in route_alerts)
    soglie: List[str] = []
    if any_snow:
        soglie.append(f"neve ≥{PERSIST_HOURS}h consecutive")
    if any_rain:
        soglie.append(
            f"pioggia 3h ≥{SOGLIA_PIOGGIA_3H_MM:.0f} mm per ≥{PERSIST_HOURS}h"
        )
    lines: List[str] = [
        f"Percorso scuola Bologna ↔ rientro · prossime {HOURS_AHEAD}h",
    ]
    if soglie:
        lines.append("Soglie: " + " · ".join(soglie))
    lines.extend([
        "",
        "A Bologna:",
    ])
    if bo_alerts.get("snow_alert"):
        fascia = bo_alerts.get("snow_fascia") or f"~{bo_alerts.get('snow_run_time') or '—'}"
        lines.append(
            f"• Neve {fascia} "
            f"(12h {bo_alerts.get('snow_12h', 0):.1f} cm · 24h {bo_alerts.get('snow_24h', 0):.1f} cm)"
        )
    if bo_alerts.get("rain_alert"):
        r3 = float(bo_alerts.get("rain3_max") or 0)
        fascia = bo_alerts.get("rain_fascia") or f"~{bo_alerts.get('rain_persist_time') or '—'}"
        lines.append(f"• Pioggia forte {fascia} (max 3h {r3:.1f} mm)")
    if not bo_alerts.get("snow_alert") and not bo_alerts.get("rain_alert"):
        lines.append("• Nessuna criticità persistente (trigger Bologna assente nel dettaglio punti)")
    issues = [x for x in route_alerts if x.get("snow_alert") or x.get("rain_alert")]
    lines.append("")
    lines.append("Caselli A14 / tratto:")
    if not issues:
        lines.append("• Nessuna criticità lungo il percorso")
    else:
        for x in issues:
            parts: List[str] = []
            if x.get("snow_alert"):
                fascia = x.get("snow_fascia") or f"~{x.get('snow_run_time') or '—'}"
                parts.append(f"neve {fascia} (24h {x.get('snow_24h', 0):.1f} cm)")
            if x.get("rain_alert"):
                r3 = float(x.get("rain3_max") or 0)
                fascia = x.get("rain_fascia") or f"~{x.get('rain_persist_time') or '—'}"
                parts.append(f"pioggia {fascia} (max 3h {r3:.1f} mm)")
            lines.append(f"• {x.get('name', '?')}: " + " | ".join(parts))
    lines.append("")
    lines.append("Fonte: Open-Meteo (AROME / confronto ICON IT)")
    return "\n".join(lines)
 def first_event_time(bo_alerts: Dict, route_alerts: List[Dict]) -> Optional[str]:
    candidates: List[str] = []
    for src in [bo_alerts, *route_alerts]:
        if src.get("snow_alert") and src.get("snow_run_time"):
            candidates.append(str(src["snow_run_time"]))
        if src.get("rain_alert") and src.get("rain_persist_time"):
            candidates.append(str(src["rain_persist_time"]))
    return min(candidates) if candidates else None
 def notify_webapp(title: str, body: str, severity: str = "warning") -> None:
    try:
        sys_path = "/home/daniely/docker/shared"
        if sys_path not in __import__("sys").path:
            __import__("sys").path.insert(0, sys_path)
        from loogle_core.alert_dispatcher import dispatch_alert
        dispatch_alert(title, body, category="student", severity=severity)
    except Exception as e:
        LOGGER.warning("WebApp notify fallita: %s", e)
 def get_forecast(session: requests.Session, lat: float, lon: float, model: str) -> Optional[Dict]:
    params = {
        "latitude": lat,
@@ -357,10 +465,28 @@ def rolling_sum_3h(values: List[float]) -> List[float]:
    return out
-def first_persistent_run(values: List[float], threshold: float, persist: int) -> Tuple[bool, int, int, float]:
+def first_persistent_run(
    values: List[float], threshold: float, persist: int
 ) -> Tuple[bool, int, int, float]:
    """Prima run continua con valori >= soglia e lunghezza >= persist.
    Ritorna (ok, start_idx, end_idx inclusivo, run_max). La run viene
    estesa fino alla fine (non si ferma al minimo persist).
    """
    consec = 0
    run_start = -1
    run_max = 0.0
    found_start = -1
    found_end = -1
    found_max = 0.0
    def _flush() -> None:
        nonlocal found_start, found_end, found_max
        if consec >= persist and found_start < 0:
            found_start = run_start
            found_end = run_start + consec - 1
            found_max = run_max
    for i, v in enumerate(values):
        vv = float(v) if v is not None else 0.0
        if vv >= threshold:
@@ -370,30 +496,19 @@ def first_persistent_run(values: List[float], threshold: float, persist: int) ->
            else:
                run_max = max(run_max, vv)
            consec += 1
            if consec >= persist:
                return True, run_start, consec, run_max
        else:
            _flush()
            if found_start >= 0:
                break
            consec = 0
-    return False, -1, 0, 0.0
+            run_start = -1
-
+            run_max = 0.0
 def max_consecutive_gt(values: List[float], eps: float) -> Tuple[int, int]:
    best_len = 0
    best_start = -1
    consec = 0
    start = -1
    for i, v in enumerate(values):
        vv = float(v) if v is not None else 0.0
        if vv > eps:
            if consec == 0:
                start = i
            consec += 1
            if consec > best_len:
                best_len = consec
                best_start = start
    else:
-            consec = 0
+        _flush()
-    return best_len, best_start
+
    if found_start >= 0:
        return True, found_start, found_end, found_max
    return False, -1, -1, 0.0
 def compute_stats(data: Dict) -> Optional[Dict]:
@@ -428,100 +543,48 @@ def compute_stats(data: Dict) -> Optional[Dict]:
    rain3_max_idx = rain3.index(rain3_max) if rain3 else -1
    rain3_max_time = hhmm(dt_w[rain3_max_idx]) if (rain3_max_idx >= 0 and rain3_max_idx < len(dt_w)) else ""
-    rain_persist_ok, rain_run_start, rain_run_len, rain_run_max = first_persistent_run(
+    rain_persist_ok, rain3_start, rain3_end, rain_run_max = first_persistent_run(
        rain3, SOGLIA_PIOGGIA_3H_MM, PERSIST_HOURS
    )
-    rain_persist_time = hhmm(dt_w[rain_run_start]) if (rain_persist_ok and rain_run_start < len(dt_w)) else ""
+    rain_run_len = (rain3_end - rain3_start + 1) if rain_persist_ok else 0
    rain_persist_dt_start: Optional[datetime.datetime] = None
    rain_persist_dt_end: Optional[datetime.datetime] = None
    rain_persist_time = ""
    rain_persist_end_time = ""
    rain_fascia = ""
    if rain_persist_ok and 0 <= rain3_start < len(dt_w):
        # Fascia = ore di calendario coperte dalle finestre rolling (ultima = end+2)
        covered_end_idx = min(rain3_end + 2, len(dt_w) - 1)
        rain_persist_dt_start = dt_w[rain3_start]
        rain_persist_dt_end = dt_w[covered_end_idx]
        rain_persist_time = format_clock(rain_persist_dt_start)
        rain_persist_end_time = format_clock(rain_persist_dt_end)
        rain_fascia = format_fascia(rain_persist_dt_start, rain_persist_dt_end)
-    # Analizza evento pioggia completa (48h): rileva inizio e calcola durata e accumulo totale
+    # Flag orari neve: accumulo orario sopra eps OPPURE weathercode neve
-    rain_start_idx = None
+    snow_flags: List[float] = []
-    rain_end_idx = None
+    for i, s_val in enumerate(snow_w):
    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)
+        is_snow = (s_val > SNOW_HOURLY_EPS_CM) or (
-            if is_snow:
+            code is not None and code in SNOW_WEATHER_CODES
-                snow_end_idx = i
+        )
-                break
+        snow_flags.append(1.0 if is_snow else 0.0)
-        if snow_end_idx is not None:
+    snow_ok, snow_run_start, snow_run_end, _ = first_persistent_run(
-            # Calcola durata
+        snow_flags, 1.0, PERSIST_HOURS
-            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)
+    snow_run_len = (snow_run_end - snow_run_start + 1) if snow_ok else 0
-            total_snow_accumulation = sum(s for s in snow_w[snow_start_idx:snow_end_idx+1] if s > 0.0)
+    snow_persist_dt_start: Optional[datetime.datetime] = None
-    
+    snow_persist_dt_end: Optional[datetime.datetime] = None
-    # Per compatibilità con logica esistente
+    snow_run_time = ""
-    snow_run_len, snow_run_start = max_consecutive_gt(snow_w, eps=SNOW_HOURLY_EPS_CM)
+    snow_run_end_time = ""
-    snow_run_time = hhmm(dt_w[snow_run_start]) if (snow_run_start >= 0 and snow_run_start < len(dt_w)) else ""
+    snow_fascia = ""
-
+    if snow_ok and 0 <= snow_run_start < len(dt_w) and 0 <= snow_run_end < len(dt_w):
-    # Se trovato inizio nevicata, usa quello invece del run
+        snow_persist_dt_start = dt_w[snow_run_start]
-    if snow_start_idx is not None:
+        snow_persist_dt_end = dt_w[snow_run_end]
-        snow_run_time = hhmm(dt_w[snow_start_idx])
+        snow_run_time = format_clock(snow_persist_dt_start)
-        # Durata minima per alert: almeno 2 ore
+        snow_run_end_time = format_clock(snow_persist_dt_end)
-        if snow_duration_hours >= PERSIST_HOURS:
+        snow_fascia = format_fascia(snow_persist_dt_start, snow_persist_dt_end)
            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)
@@ -531,17 +594,16 @@ def compute_stats(data: Dict) -> Optional[Dict]:
        "rain3_max_time": rain3_max_time,
        "rain_persist_ok": bool(rain_persist_ok),
        "rain_persist_time": rain_persist_time,
        "rain_persist_end_time": rain_persist_end_time,
        "rain_fascia": rain_fascia,
        "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_run_end_time": snow_run_end_time,
        "snow_fascia": snow_fascia,
        "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),
    }
@@ -556,14 +618,15 @@ def point_alerts(point_name: str, stats: Dict) -> Dict:
        "snow_24h": stats["snow_24h"],
        "snow_run_len": stats["snow_run_len"],
        "snow_run_time": stats["snow_run_time"],
        "snow_run_end_time": stats.get("snow_run_end_time", ""),
        "snow_fascia": stats.get("snow_fascia", ""),
        "rain3_max": stats["rain3_max"],
        "rain3_max_time": stats["rain3_max_time"],
        "rain_persist_time": stats["rain_persist_time"],
        "rain_persist_end_time": stats.get("rain_persist_end_time", ""),
        "rain_fascia": stats.get("rain_fascia", ""),
        "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),
    }
@@ -660,7 +723,10 @@ def main(chat_ids: Optional[List[str]] = None, debug_mode: bool = False) -> None
            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).")
+                fascia = bo_alerts.get("snow_fascia") or f"~{bo_alerts.get('snow_run_time') or '—'}"
                msg.append(
                    f"❄️ Neve (≥{PERSIST_HOURS}h) <b>{html.escape(fascia)}</b>."
                )
                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"]
@@ -670,13 +736,12 @@ def main(chat_ids: Optional[List[str]] = None, debug_mode: bool = False) -> None
                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)
+                fascia = bo_alerts.get("rain_fascia") or f"~{bo_alerts.get('rain_persist_time') or '—'}"
-                total_rain = bo_alerts.get("total_rain_accumulation_mm", 0.0)
+                msg.append(
-                max_intensity = bo_alerts.get("max_rain_intensity_mm_h", 0.0)
+                    f"🌧️ Pioggia molto forte (3h ≥ {SOGLIA_PIOGGIA_3H_MM:.0f} mm, ≥{PERSIST_HOURS}h) "
-                
+                    f"<b>{html.escape(fascia)}</b> "
-                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>.")
+                    f"(max 3h <b>{bo_alerts['rain3_max']:.1f} mm</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"]
@@ -695,14 +760,17 @@ def main(chat_ids: Optional[List[str]] = None, debug_mode: bool = False) -> None
                    line = f"• <b>{html.escape(x['name'])}</b>: "
                    parts: List[str] = []
                    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)")
+                        fascia = x.get("snow_fascia") or f"~{x.get('snow_run_time') or '—'}"
                        parts.append(
                            f"❄️ neve (≥{PERSIST_HOURS}h) {html.escape(fascia)} "
                            f"(24h {x['snow_24h']:.1f} cm)"
                        )
                    if x["rain_alert"]:
-                        rain_dur = x.get("rain_duration_hours", 0.0)
+                        fascia = x.get("rain_fascia") or f"~{x.get('rain_persist_time') or '—'}"
-                        rain_tot = x.get("total_rain_accumulation_mm", 0.0)
+                        parts.append(
-                        if rain_dur > 0:
+                            f"🌧️ pioggia forte {html.escape(fascia)} "
-                            parts.append(f"🌧️ pioggia forte da ~{html.escape(x['rain_persist_time'] or '—')} (durata ~{rain_dur:.0f}h, totale ~{rain_tot:.1f}mm)")
+                            f"(max 3h {x['rain3_max']:.1f} mm)"
-                        else:
+                        )
                            parts.append(f"🌧️ pioggia forte da ~{html.escape(x['rain_persist_time'] or '—')}")
                    line += " | ".join(parts)
                    msg.append(line)
@@ -725,15 +793,65 @@ def main(chat_ids: Optional[List[str]] = None, debug_mode: bool = False) -> None
            msg.append("<i>Fonte dati: Open-Meteo</i>")
            # FIX: usare \n invece di <br/>
-            ok = telegram_send_html("\n".join(msg), chat_ids=chat_ids)
+            html_msg = "\n".join(msg)
            plain = build_plain_summary(bo_alerts, route_alerts)
            ok = telegram_send_html(html_msg, chat_ids=chat_ids)
            if ok:
-                LOGGER.info("Notifica inviata.")
+                LOGGER.info("Notifica inviata su Telegram.")
            else:
-                LOGGER.warning("Notifica NON inviata.")
+                LOGGER.info("Telegram saltato/sospeso; consegna via WebApp.")
-            save_state(True, sig)
+            detail = {
                "summary": plain,
                "window_hours": HOURS_AHEAD,
                "persist_hours": PERSIST_HOURS,
                "rain_threshold_mm_3h": SOGLIA_PIOGGIA_3H_MM,
                "first_event_time": first_event_time(bo_alerts, route_alerts),
                "bologna": {
                    "snow_alert": bool(bo_alerts.get("snow_alert")),
                    "rain_alert": bool(bo_alerts.get("rain_alert")),
                    "snow_run_time": bo_alerts.get("snow_run_time"),
                    "snow_run_end_time": bo_alerts.get("snow_run_end_time"),
                    "snow_fascia": bo_alerts.get("snow_fascia"),
                    "rain_persist_time": bo_alerts.get("rain_persist_time"),
                    "rain_persist_end_time": bo_alerts.get("rain_persist_end_time"),
                    "rain_fascia": bo_alerts.get("rain_fascia"),
                    "snow_24h": bo_alerts.get("snow_24h"),
                    "rain3_max": bo_alerts.get("rain3_max"),
                },
                "route_issues": [
                    {
                        "name": x.get("name"),
                        "snow_alert": bool(x.get("snow_alert")),
                        "rain_alert": bool(x.get("rain_alert")),
                        "snow_run_time": x.get("snow_run_time"),
                        "snow_run_end_time": x.get("snow_run_end_time"),
                        "snow_fascia": x.get("snow_fascia"),
                        "rain_persist_time": x.get("rain_persist_time"),
                        "rain_persist_end_time": x.get("rain_persist_end_time"),
                        "rain_fascia": x.get("rain_fascia"),
                        "snow_24h": x.get("snow_24h"),
                        "rain3_max": x.get("rain3_max"),
                        "rain_persist_run_len": x.get("rain_persist_run_len"),
                    }
                    for x in route_alerts
                    if x.get("snow_alert") or x.get("rain_alert")
                ],
            }
            save_state(True, sig, detail)
            notify_webapp("Allerta percorso scuola", plain, severity="warning")
        else:
            LOGGER.info("Allerta già notificata e invariata.")
            # Aggiorna comunque summary nello state se manca (card WebApp)
            if not state.get("summary"):
                plain = build_plain_summary(bo_alerts, route_alerts)
                save_state(True, sig, {
                    "summary": plain,
                    "window_hours": HOURS_AHEAD,
                    "persist_hours": PERSIST_HOURS,
                    "rain_threshold_mm_3h": SOGLIA_PIOGGIA_3H_MM,
                    "first_event_time": first_event_time(bo_alerts, route_alerts),
                })
        return
    # --- Scenario B: Rientro ---
@@ -747,12 +865,18 @@ def main(chat_ids: Optional[List[str]] = None, debug_mode: bool = False) -> None
            f"di neve (≥{PERSIST_HOURS}h) o pioggia 3h sopra soglia (≥{PERSIST_HOURS}h).\n"
            "<i>Fonte dati: Open-Meteo</i>"
        )
        plain = (
            f"Allerta rientrata (Bologna / percorso scuola).\n"
            f"Nelle prossime {HOURS_AHEAD} ore non risultano più neve persistente "
            f"(≥{PERSIST_HOURS}h) né pioggia 3h sopra soglia (≥{PERSIST_HOURS}h)."
        )
        ok = telegram_send_html(msg, chat_ids=chat_ids)
        if ok:
-            LOGGER.info("Rientro notificato.")
+            LOGGER.info("Rientro notificato su Telegram.")
        else:
-            LOGGER.warning("Rientro NON inviato.")
+            LOGGER.info("Rientro Telegram saltato/sospeso; consegna via WebApp.")
        save_state(False, "")
        notify_webapp("Allerta percorso scuola rientrata", plain, severity="info")
        return
    # --- Scenario C: Tranquillo ---
@@ -0,0 +1,86 @@
 #!/usr/bin/env python3
 """Regressione visibilità ore nella tabella meteo 48h."""
 import sys
 from pathlib import Path
 sys.path.insert(0, str(Path(__file__).resolve().parent))
 from open_meteo_precip import (
    apply_hourly_daily_precip,
    hourly_table_should_show,
    overlay_icon_precip_on_hourly,
 )
 def test_first_24h_all_shown():
    for h in range(24):
        assert hourly_table_should_show(h, 0.0, 3) is True
 def test_second_day_even_hours_shown():
    assert hourly_table_should_show(24, 0.0, 3) is True   # lun 08
    assert hourly_table_should_show(32, 5.0, 63) is True  # lun 16
 def test_second_day_odd_dry_hidden():
    assert hourly_table_should_show(31, 0.0, 3) is False  # lun 15 secco
 def test_second_day_odd_wet_shown():
    # Caso reale 17/08/2026: 15:00 = 17.4 mm (code 65) era nascosto → 48h mostrava solo 5 mm alle 16
    assert hourly_table_should_show(31, 17.4, 65) is True
    assert hourly_table_should_show(31, 0.0, 65) is True  # codice precip anche con mm 0
 def test_apply_hourly_daily_precip_matches_hours():
    hourly = {
        "time": [f"2026-08-17T{h:02d}:00" for h in range(24)],
        "precipitation": [0.0] * 24,
        "rain": [0.0] * 24,
        "showers": [0.0] * 24,
        "snowfall": [0.0] * 24,
    }
    hourly["rain"][15] = 17.4
    hourly["rain"][16] = 5.0
    hourly["precipitation"][15] = 17.4
    hourly["precipitation"][16] = 5.0
    daily = {
        "time": ["2026-08-17"],
        "precipitation_sum": [18.0],
        "rain_sum": [18.0],
        "showers_sum": [20.0],
        "snowfall_sum": [0.0],
    }
    out = apply_hourly_daily_precip(daily, hourly)
    assert out["precipitation_sum"][0] == 22.4
    assert out["rain_sum"][0] == 22.4
    assert out["showers_sum"][0] == 0.0
 def test_overlay_matches_normalized_timestamps():
    target = {
        "time": ["2026-08-17T15:00"],
        "precipitation": [0.0],
        "rain": [0.0],
        "showers": [0.0],
        "snowfall": [0.0],
    }
    icon = {
        "time": ["2026-08-17T15:00:00"],
        "precipitation": [17.4],
        "rain": [17.4],
        "showers": [0.0],
        "snowfall": [0.0],
    }
    out = overlay_icon_precip_on_hourly(target, icon)
    assert abs(out["precipitation"][0] - 17.4) < 0.01
 if __name__ == "__main__":
    test_first_24h_all_shown()
    test_second_day_even_hours_shown()
    test_second_day_odd_dry_hidden()
    test_second_day_odd_wet_shown()
    test_apply_hourly_daily_precip_matches_hours()
    test_overlay_matches_normalized_timestamps()
    print("OK hourly_table_should_show")
@@ -0,0 +1,178 @@
 #!/usr/bin/env python3
 """Regression checks for Meteo7 interpretation (weathercode mode, ice gates, hours, trend max/min)."""
 import sys
 from pathlib import Path
 sys.path.insert(0, str(Path(__file__).resolve().parent))
 from previsione7 import (
    _merge_weathercode,
    _format_event_hours,
    analyze_daily_events,
    analyze_temperature_trend,
    format_detailed_trend_explanation,
    get_precip_type,
 )
 def test_weathercode_mode_not_median():
    # 61 (rain) + 71 (snow) → mediana numerica sarebbe 66 (FZRA); moda deve evitare 66
    assert _merge_weathercode([61, 71], preferred=61) == 61
    assert _merge_weathercode([61, 71], preferred=71) == 71
    assert _merge_weathercode([61, 61, 71]) == 61
    assert _merge_weathercode([66, 66, 61]) == 66
    print("OK weathercode mode")
 def test_get_precip_type_temp_gate():
    assert "Congelantesi" not in get_precip_type(67, temp=28.0)
    assert "Pioggia" in get_precip_type(67, temp=28.0)
    assert "Congelantesi" in get_precip_type(67, temp=0.5)
    assert "Neve" not in get_precip_type(71, temp=20.0)
    assert "Neve" in get_precip_type(71, temp=-1.0)
    print("OK precip type temp gate")
 def test_gelicidio_hot_air_no_event():
    times = [f"2026-07-21T{h:02d}:00" for h in range(24)]
    codes = [0] * 24
    codes[20] = 67  # FZRA spurio
    precip = [0.0] * 24
    precip[20] = 1.2
    temps = [28.0] * 24
    dewpoints = [18.0] * 24
    winds = [5.0] * 24
    events = analyze_daily_events(
        times, codes, None, precip, winds, temps, dewpoints,
        snowfalls=[0.0] * 24, rains=precip[:], soil_temps=[25.0] * 24,
        cloud_covers=[50.0] * 24, wind_speeds=winds,
    )
    ice_like = [e for e in events if "GELICIDIO" in e or "BRINA" in e or "Gelata" in e or "Black Ice" in e]
    assert not ice_like, f"unexpected ice events in heat: {ice_like}"
    rain_like = [e for e in events if "Pioggia" in e or "Congelantesi" in e]
    assert rain_like, "expected rain event"
    assert all("Congelantesi" not in e for e in rain_like)
    print("OK no gelicidio at 28°C")
 def test_single_hour_event_range():
    times = [f"2026-07-21T{h:02d}:00" for h in range(24)]
    assert _format_event_hours(times, 20, 20) == "20:00-21:00"
    assert _format_event_hours(times, 20, 21) == "20:00-22:00"
    # last hour of day
    assert _format_event_hours(times, 23, 23) == "23:00-00:00"
    codes = [0] * 24
    precip = [0.0] * 24
    precip[20] = 2.0
    temps = [22.0] * 24
    events = analyze_daily_events(
        times, codes, None, precip, [5.0] * 24, temps, [12.0] * 24,
        snowfalls=[0.0] * 24, rains=precip[:],
    )
    rain_ev = [e for e in events if "🕒" in e]
    assert rain_ev, events
    assert "20:00-21:00" in rain_ev[0]
    assert "20:00-20:00" not in rain_ev[0]
    print("OK single-hour 20:00-21:00")
 def test_trend_max_min_not_media():
    # Heatwave: max stay high, slight drop → calo_termico not fronte_freddo
    tmax = [34, 35, 36, 33, 30, 29, 28, 27, 26, 25]
    tmin = [22, 23, 24, 21, 20, 19, 18, 17, 16, 15]
    trend = analyze_temperature_trend(tmax, tmin, days=10)
    assert trend is not None
    assert "first_max" in trend and "first_min" in trend
    assert trend["type"] == "calo_termico"
    text = format_detailed_trend_explanation(trend, daily_time_list=[f"2026-07-{21+i:02d}" for i in range(10)])
    assert "media" not in text.lower()
    assert "Massime:" in text and "Minime:" in text
    assert "Fronte Freddo" not in text
    print("OK trend max/min calo_termico")
 def test_real_gelicidio_cold():
    times = [f"2026-01-10T{h:02d}:00" for h in range(24)]
    codes = [0] * 24
    codes[8] = 67
    precip = [0.0] * 24
    precip[8] = 0.5
    temps = [5.0] * 24
    temps[8] = -0.5
    events = analyze_daily_events(
        times, codes, None, precip, [3.0] * 24, temps, [-1.0] * 24,
        snowfalls=[0.0] * 24, rains=precip[:], soil_temps=[-1.0] * 24,
        cloud_covers=[80.0] * 24, wind_speeds=[3.0] * 24,
    )
    assert any("GELICIDIO" in e for e in events), events
    print("OK real gelicidio at subzero")
 def test_monday_storm_event_mm_is_hourly_sum():
    """15:00=17.4 + 16:00=5.0 → un evento 22.4 mm, non 5 mm né 22.4 ripetuto."""
    times = [f"2026-08-17T{h:02d}:00" for h in range(24)]
    precip = [0.0] * 24
    precip[15] = 17.4
    precip[16] = 5.0
    codes = [3] * 24
    codes[15] = 65
    codes[16] = 63
    temps = [26.0] * 24
    events = analyze_daily_events(
        times, codes, None, precip, [18.0] * 24, temps, [16.0] * 24,
        snowfalls=[0.0] * 24, rains=precip[:],
    )
    rain_ev = [e for e in events if "🕒" in e]
    assert len(rain_ev) == 1, rain_ev
    assert "15:00-17:00" in rain_ev[0]
    assert "22.4mm" in rain_ev[0]
    assert rain_ev[0].count("22.4mm") == 1
    print("OK lun 17 15-17h = 22.4mm")
 def test_three_pulses_keep_own_mm_not_daily_total():
    times = [f"2026-08-16T{h:02d}:00" for h in range(24)]
    precip = [0.0] * 24
    precip[10] = 18.0
    precip[14] = 19.0
    precip[18] = 20.0
    events = analyze_daily_events(
        times, [63] * 24, None, precip, [10.0] * 24, [24.0] * 24, [14.0] * 24,
        snowfalls=[0.0] * 24, rains=precip[:],
    )
    rain_ev = [e for e in events if "🕒" in e]
    assert len(rain_ev) == 3, rain_ev
    assert "18.0mm" in rain_ev[0]
    assert "19.0mm" in rain_ev[1]
    assert "20.0mm" in rain_ev[2]
    assert all("57.0mm" not in e for e in rain_ev)
    print("OK tre fasce con mm propri")
 def test_last_hour_rain_is_emitted():
    times = [f"2026-08-17T{h:02d}:00" for h in range(24)]
    precip = [0.0] * 24
    precip[23] = 4.2
    events = analyze_daily_events(
        times, [61] * 24, None, precip, [8.0] * 24, [20.0] * 24, [12.0] * 24,
        snowfalls=[0.0] * 24, rains=precip[:],
    )
    rain_ev = [e for e in events if "🕒" in e]
    assert rain_ev, events
    assert "23:00-00:00" in rain_ev[0]
    assert "4.2mm" in rain_ev[0]
    print("OK pioggia ultima ora del giorno")
 if __name__ == "__main__":
    test_weathercode_mode_not_median()
    test_get_precip_type_temp_gate()
    test_gelicidio_hot_air_no_event()
    test_single_hour_event_range()
    test_trend_max_min_not_media()
    test_real_gelicidio_cold()
    test_monday_storm_event_mm_is_hourly_sum()
    test_three_pulses_keep_own_mm_not_daily_total()
    test_last_hour_rain_is_emitted()
    print("\nAll interpretation regression checks passed.")
@@ -0,0 +1,80 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 """Helper: testo plain + summary state + mirror WebApp per allerte meteo."""
 from __future__ import annotations
 import logging
 import re
 import sys
 from typing import Any, Dict, Optional
 LOGGER = logging.getLogger("webapp_alert")
 def message_to_plain(message: str, is_html: bool = False) -> str:
    text = message or ""
    if is_html:
        text = re.sub(r"<br\s*/?>", "\n", text, flags=re.I)
        text = re.sub(r"</p\s*>", "\n", text, flags=re.I)
        text = re.sub(r"<[^>]+>", "", text)
    text = (
        text.replace("*", "")
        .replace("_", "")
        .replace("`", "")
        .replace("&nbsp;", " ")
        .replace("&lt;", "<")
        .replace("&gt;", ">")
        .replace("&amp;", "&")
    )
    lines = [ln.rstrip() for ln in text.splitlines()]
    # collassa righe vuote multiple
    out: list[str] = []
    blank = False
    for ln in lines:
        if not ln.strip():
            if not blank:
                out.append("")
            blank = True
        else:
            out.append(ln.strip())
            blank = False
    return "\n".join(out).strip()
 def remember_summary(state: Optional[Dict[str, Any]], plain: str, limit: int = 3000) -> str:
    summary = (plain or "").strip()[:limit]
    if state is not None and summary:
        state["summary"] = summary
    return summary
 def publish_web_alert(
    message: str,
    category: str,
    severity: str = "warning",
    *,
    is_html: bool = False,
    title: Optional[str] = None,
    state: Optional[Dict[str, Any]] = None,
 ) -> bool:
    """Salva summary nello state (se passato) e notifica la WebApp (solo canale web)."""
    plain = message_to_plain(message, is_html=is_html)
    if not plain:
        return False
    remember_summary(state, plain)
    head = (title or plain.split("\n", 1)[0]).strip()[:80] or category
    body = plain[:2500]
    try:
        shared = "/home/daniely/docker/shared"
        if shared not in sys.path:
            sys.path.insert(0, shared)
        from loogle_core.alert_dispatcher import send_web
        ok = send_web(head, body, category=category, severity=severity)
        if not ok:
            LOGGER.debug("send_web returned False for %s", category)
        return bool(ok)
    except Exception as exc:
        LOGGER.warning("publish_web_alert failed (%s): %s", category, exc)
        return False
Author	SHA1	Message	Date
danieleandCursor	beb790ed7e	Aggiorna script backup e bot meteo Telegram. Co-authored-by: Cursor <cursoragent@cursor.com>	2026-08-21 11:57:29 +02:00
daniele	3a7b867e83	Backup automatico script del 2026-08-09 07:00	2026-08-09 07:00:02 +02:00
daniele	7c2efce9df	Backup automatico script del 2026-08-02 07:00	2026-08-02 07:00:02 +02:00
daniele	a9bbb92090	Backup automatico script del 2026-07-26 07:00	2026-07-26 07:00:01 +02:00