diff --git a/Dockerfile b/Dockerfile index e435036..7f0666e 100644 --- a/Dockerfile +++ b/Dockerfile @@ -21,10 +21,7 @@ COPY app/ /app/app/ COPY entrypoint.sh /app/entrypoint.sh RUN chmod +x /app/entrypoint.sh -# Setup utente e permessi -RUN useradd -m appuser && \ - mkdir -p /home/appuser/data /home/appuser/models && \ - chown -R appuser:appuser /home/appuser /app +# Setup permessi (manteniamo root per l'esecuzione dello script di boot e accesso a /tmp) +RUN mkdir -p /data/config /data/mqtt_raw /data/model -USER appuser ENTRYPOINT ["/app/entrypoint.sh"] diff --git a/app/infer_mode.py b/app/infer_mode.py index ab6bc3c..f67c4c7 100644 --- a/app/infer_mode.py +++ b/app/infer_mode.py @@ -9,28 +9,26 @@ import yaml import paho.mqtt.client as mqtt from dataclasses import dataclass from pathlib import Path -from typing import Any, Callable, Dict, List, Optional, Tuple +from typing import Any, Dict, List, Tuple from .logger_utils import log_msg as log -# Importiamo la funzione per caricare i gateway per mantenere l'ordine delle feature -from .csv_config import load_gateway_features_csv - -BUILD_TAG = "infer-debug-v20-autoreload" +BUILD_TAG = "infer-mac-fix-v21" # ------------------------- # UTILITIES # ------------------------- def _norm_mac(s: str) -> str: - s = (s or "").strip().replace("-", "").replace(":", "").replace(".", "").upper() + """ + Forza il formato standard xx:xx:xx:xx:xx:xx in MINUSCOLO per matchare il modello. + Esempio MQTT: 'AC233FC1DD4E' -> 'ac:23:3f:c1:dd:4e' + """ + s = (s or "").strip().replace("-", "").replace(":", "").replace(".", "").lower() if len(s) != 12: return s return ":".join([s[i:i+2] for i in range(0, 12, 2)]) def _predict_xyz(model_pkg: Dict[str, Any], X: np.ndarray) -> Tuple[int, float, float]: floor_clf = model_pkg.get("floor_clf") - if floor_clf is None: - raise ValueError("Il pacchetto modello non contiene 'floor_clf'") - z_pred = floor_clf.predict(X) z = int(z_pred[0]) @@ -42,7 +40,6 @@ def _predict_xyz(model_pkg: Dict[str, Any], X: np.ndarray) -> Tuple[int, float, xy_pred = regressor.predict(X) x, y = xy_pred[0] - return z, float(x), float(y) @dataclass @@ -56,6 +53,7 @@ class RollingRSSI: self.data: Dict[str, Dict[str, List[_Point]]] = {} def add(self, bm: str, gm: str, rssi: float): + # bm e gm arrivano già normalizzati da on_message self.data.setdefault(bm, {}).setdefault(gm, []).append(_Point(time.time(), rssi)) def prune(self): @@ -71,6 +69,7 @@ class RollingRSSI: feats = [] found_count = 0 for gm in gws: + # gm è già minuscolo con : perché preso da gateways_ordered (dal modello) vals = [p.v for p in per_gw.get(gm, [])] if vals: val = np.median(vals) if agg == "median" else np.mean(vals) @@ -93,10 +92,9 @@ def run_infer(settings: Dict[str, Any]): log(f"INFER_MODE build tag={BUILD_TAG}") - # Variabili di stato per il caricamento dinamico model_pkg = None last_model_mtime = 0 - gateways_ordered = [] + gateways_ordered = [] # Saranno in formato aa:bb:cc... gateways_set = set() nan_fill = -110.0 @@ -105,34 +103,24 @@ def run_infer(settings: Dict[str, Any]): try: current_mtime = os.path.getmtime(model_path) if current_mtime != last_model_mtime: - log(f"🧠 Caricamento/Aggiornamento modello: {model_path}") + log(f"🧠 Aggiornamento modello: {model_path}") model_pkg = joblib.load(model_path) last_model_mtime = current_mtime - # METADATI PER DEBUG - gateways_ordered = model_pkg.get("gateways_order", []) + # Il modello ha i gateway salvati come caricati nell'addestramento + gateways_ordered = [gw.lower() for gw in model_pkg.get("gateways_order", [])] gateways_set = set(gateways_ordered) nan_fill = float(model_pkg.get("nan_fill", -110.0)) - floors = list(model_pkg.get("xy_by_floor", {}).keys()) - log(f"✅ MODELLO PRONTO: {len(gateways_ordered)} GW allenati.") - log(f"🏢 Piani mappati: {floors}") - log(f"🧪 Valore Fill (NaN): {nan_fill}") - if len(gateways_ordered) > 0: - log(f"📡 Primi 3 GW di riferimento: {gateways_ordered[:3]}") + log(f"✅ MODELLO PRONTO: {len(gateways_ordered)} GW. Fill: {nan_fill}") return True - except Exception as e: - if model_pkg is None: - log(f"⚠️ In attesa di un modello valido in {model_path}...") - return False + except: return False return True - # Primo caricamento load_model_dynamic() - rolling = RollingRSSI(float(inf_c.get("window_seconds", 5.0))) - # --- Gestione Token e Beacons --- + # Cache Beacons token_cache = {"token": None, "expires_at": 0} def get_token(): if time.time() < token_cache["expires_at"]: return token_cache["token"] @@ -159,18 +147,25 @@ def run_infer(settings: Dict[str, Any]): try: headers = {"Authorization": f"Bearer {token}", "accept": "application/json"} resp = requests.get(api_c["get_beacons_url"], headers=headers, verify=False, timeout=10) - return [it["mac"] for it in resp.json() if "mac" in it] if resp.status_code == 200 else [] + # Normalizziamo anche i beacon cercati per il confronto + return [_norm_mac(it["mac"]) for it in resp.json() if "mac" in it] if resp.status_code == 200 else [] except: return [] def on_message(client, userdata, msg): - if not gateways_set: return - gw = _norm_mac(msg.topic.split("/")[-1]) - if gw not in gateways_set: return + # msg.topic es: publish_out/ac233fc1dd4e + raw_gw = msg.topic.split("/")[-1] + gw_norm = _norm_mac(raw_gw) + + if gw_norm not in gateways_set: return + try: items = json.loads(msg.payload.decode()) for it in items: - bm, rssi = _norm_mac(it.get("mac")), it.get("rssi") - if bm and rssi is not None: rolling.add(bm, gw, float(rssi)) + raw_bm = it.get("mac") + rssi = it.get("rssi") + if raw_bm and rssi is not None: + bm_norm = _norm_mac(raw_bm) + rolling.add(bm_norm, gw_norm, float(rssi)) except: pass mqtt_client = mqtt.Client() @@ -180,28 +175,25 @@ def run_infer(settings: Dict[str, Any]): mqtt_client.subscribe(mqtt_c["topic"]) mqtt_client.loop_start() except Exception as e: - log(f"MQTT Connect Error: {e}") + log(f"MQTT Error: {e}") last_predict, last_api_refresh = 0.0, 0.0 - beacons = [] + beacons_to_track = [] while True: now = time.time() rolling.prune() - - # Verifica se il link simbolico model.joblib è cambiato load_model_dynamic() if now - last_api_refresh >= float(api_c.get("refresh_seconds", 30)): - beacons = fetch_beacons() + beacons_to_track = fetch_beacons() last_api_refresh = now if now - last_predict >= float(inf_c.get("refresh_seconds", 10.0)): rows, count_ok = [], 0 - if model_pkg: - for bm in beacons: - bm_n = _norm_mac(bm) + if model_pkg and beacons_to_track: + for bm_n in beacons_to_track: X, n_found = rolling.aggregate_features(bm_n, gateways_ordered, inf_c.get("aggregate", "median"), nan_fill) z, x, y = -1, -1.0, -1.0 @@ -209,8 +201,7 @@ def run_infer(settings: Dict[str, Any]): try: z, x, y = _predict_xyz(model_pkg, X) if z != -1: count_ok += 1 - except Exception as e: - pass + except: pass rows.append(f"{bm_n};{int(z)};{int(round(x))};{int(round(y))}") @@ -221,7 +212,7 @@ def run_infer(settings: Dict[str, Any]): f.write("mac;z;x;y\n") for r in rows: f.write(r + "\n") os.replace(str(out_p) + ".tmp", out_p) - log(f"CYCLE: {count_ok}/{len(rows)} localized") + log(f"CYCLE: {count_ok}/{len(beacons_to_track)} localized (Input GW match: {len(gateways_set)})") except Exception as e: log(f"File Error: {e}") last_predict = now diff --git a/app/train_executor.py b/app/train_executor.py index e454e8a..e2d88f3 100644 --- a/app/train_executor.py +++ b/app/train_executor.py @@ -33,80 +33,95 @@ def process_train_jobs(): nan_fill = job["nan_fill"] gw_csv = job["gateways_csv"] - # --- GENERAZIONE NOME FILE CON TIMESTAMP (BACKUP) --- + # --- GENERAZIONE NOME FILE CON TIMESTAMP --- now_str = datetime.now().strftime("%Y%m%d_%H%M%S") model_filename = f"model_camp_{campagna}_{now_str}.joblib" model_path = Path("/data/model") / model_filename - # Caricamento Gateway + # Caricamento Gateway con normalizzazione MAC gws = load_gateway_features_csv(gw_csv) - gateways_order = [g.mac for g in gws] + gateways_order = [g.mac.lower().strip() for g in gws] + log(f"[TRAIN-CORE] Feature vector: {len(gateways_order)} gateway caricati da {gw_csv}") # Analisi file campioni samples_dir = Path("/data/train/samples") sample_files = list(samples_dir.glob(f"{campagna}_*.csv")) + log(f"[TRAIN-CORE] Analisi di {len(sample_files)} file per campagna '{campagna}'") X_list, y_z, y_xy = [], [], [] for fp in sample_files: try: df = pd.read_csv(fp, sep=";") if df.empty: continue + # Normalizziamo le colonne del DF in minuscolo + df.columns = [c.lower().strip() for c in df.columns] row = df.iloc[0] - # Mapping RSSI basato su gateway.csv (risolve errore 'mac') - X_list.append([float(row.get(gw, nan_fill)) for gw in gateways_order]) + + features = [] + for gw in gateways_order: + val = row.get(gw) + # Gestione esplicita di 'nan' stringa o NaN numerico + if val is not None and str(val).lower() != 'nan' and not pd.isna(val): + features.append(float(val)) + else: + features.append(float(nan_fill)) + + X_list.append(features) y_z.append(int(round(float(row.get("z"))))) y_xy.append([float(row.get("x")), float(row.get("y"))]) - except: continue + except Exception as e: + log(f"[TRAIN-CORE] Errore nel file {fp.name}: {e}") + continue if not X_list: - log(f"[TRAIN-CORE] ERRORE: Dati non validi per campagna {campagna}") + log(f"[TRAIN-CORE] ❌ ABORTO: Nessun dato matchato tra gateway.csv e fingerprint!") job_path.unlink() continue - X, Y_z, Y_xy = np.array(X_list), np.array(y_z), np.array(y_xy) + X = np.array(X_list) + # Calcolo copertura reale + matches_per_point = [np.sum(np.array(vec) > nan_fill) for vec in X_list] + avg_match = np.mean(matches_per_point) + log(f"[TRAIN-CORE] Dataset pronto. Punti: {len(X_list)}. Media match Gateway: {avg_match:.2f}/{len(gateways_order)}") - # Fitting KNN - log(f"[TRAIN-CORE] Fitting modello per {model_filename}...") + # --- LOG PARAMETRI ADDESTRAMENTO --- + k_val = int(knn_cfg.get('k', 5)) + w_val = knn_cfg.get('weights', 'distance') + m_val = knn_cfg.get('metric', 'euclidean') + log(f"[TRAIN-CORE] Fitting KNN -> k: {k_val}, weights: {w_val}, metric: {m_val}, nan_fill: {nan_fill}") + + # Fitting floor_clf = KNeighborsClassifier( - n_neighbors=int(knn_cfg.get('k', 5)), - weights=knn_cfg.get('weights', 'distance'), - metric=knn_cfg.get('metric', 'euclidean') - ).fit(X, Y_z) + n_neighbors=k_val, weights=w_val, metric=m_val + ).fit(X, np.array(y_z)) models_xy = {} - for z in np.unique(Y_z): - idx = np.where(Y_z == z)[0] + for z in np.unique(y_z): + idx = np.where(np.array(y_z) == z)[0] + # k_xy non può essere superiore al numero di campioni per piano + current_k_xy = min(k_val, len(idx)) models_xy[int(z)] = KNeighborsRegressor( - n_neighbors=min(int(knn_cfg.get('k', 5)), len(idx)), - weights=knn_cfg.get('weights', 'distance'), - metric=knn_cfg.get('metric', 'euclidean') - ).fit(X[idx], Y_xy[idx]) + n_neighbors=current_k_xy, weights=w_val, metric=m_val + ).fit(X[idx], np.array(y_xy)[idx]) - # Salvataggio Pacchetto + # Salvataggio model_pkg = { - "floor_clf": floor_clf, - "xy_by_floor": models_xy, - "gateways_order": gateways_order, - "nan_fill": nan_fill, - "created_at": datetime.now().isoformat(), - "campaign": campagna, - "filename": model_filename + "floor_clf": floor_clf, "xy_by_floor": models_xy, + "gateways_order": gateways_order, "nan_fill": nan_fill, + "knn_params": {"k": k_val, "weights": w_val, "metric": m_val}, + "created_at": datetime.now().isoformat(), "campaign": campagna } Path("/data/model").mkdir(parents=True, exist_ok=True) joblib.dump(model_pkg, model_path) - log(f"[TRAIN-CORE] ✅ Addestramento COMPLETATO: {model_filename}") except Exception as e: log(f"[TRAIN-CORE] ❌ ERRORE CRITICO: {str(e)}") - finally: - if job_path.exists(): - job_path.unlink() + if job_path.exists(): job_path.unlink() def run_train_monitor(): - """Loop di monitoraggio per il Core Orchestrator.""" while True: process_train_jobs() time.sleep(5) diff --git a/app/web_inference.py b/app/web_inference.py index 9a82b4a..1da0de4 100644 --- a/app/web_inference.py +++ b/app/web_inference.py @@ -3,6 +3,8 @@ import pandas as pd import os import json import folium +import requests +import yaml from streamlit_folium import st_folium from pathlib import Path from PIL import Image @@ -19,6 +21,48 @@ def get_image_base64(img_path): img_str = base64.b64encode(buffered.getvalue()).decode("ascii") return f"data:image/png;base64,{img_str}", w, h +def _norm_mac_internal(s: str) -> str: + """Standardizza il MAC in formato xx:xx:xx:xx:xx:xx minuscolo per il matching.""" + s = (s or "").strip().replace("-", "").replace(":", "").replace(".", "").lower() + if len(s) != 12: return s + return ":".join([s[i:i+2] for i in range(0, 12, 2)]) + +def fetch_beacons_metadata(cfg): + """Recupera l'elenco dei beacon dalle API e normalizza i MAC per il lookup.""" + api_c = cfg.get("api", {}) + token_url = api_c.get("token_url") + beacons_url = api_c.get("get_beacons_url") + + try: + secrets_path = os.environ.get("SECRETS_FILE") or "/config/secrets.yaml" + with open(secrets_path, "r") as f: + sec = yaml.safe_load(f).get("oidc", {}) + + # 1. Autenticazione OIDC + payload = { + "grant_type": "password", + "client_id": api_c.get("client_id", "Fastapi"), + "client_secret": sec.get("client_secret", ""), + "username": sec.get("username", "core"), + "password": sec.get("password", "") + } + resp_t = requests.post(token_url, data=payload, verify=False, timeout=5) + if resp_t.status_code != 200: return {} + token = resp_t.json().get("access_token") + + # 2. Download Beacon List e Normalizzazione + headers = {"Authorization": f"Bearer {token}", "accept": "application/json"} + resp_b = requests.get(beacons_url, headers=headers, verify=False, timeout=5) + if resp_b.status_code == 200: + # Dizionario {mac_normalizzato: nome_amichevole} + return { + _norm_mac_internal(it["mac"]): it.get("name", "N/A") + for it in resp_b.json() if "mac" in it + } + except Exception as e: + st.error(f"Errore recupero nomi beacon: {e}") + return {} + def show_inference_page(cfg): st.subheader("📡 Monitoraggio Beacon Real-Time") @@ -26,7 +70,7 @@ def show_inference_page(cfg): MAPS_DIR = Path(cfg['maps']['map_dir']) INFER_FILE = Path("/data/infer/infer.csv") - # --- 1. SELEZIONE E STATO (RIGA COMPATTA) --- + # --- 1. SELEZIONE E STATO --- maps = sorted([f.replace(cfg['maps']['floor_prefix'], "").split('.')[0] for f in os.listdir(MAPS_DIR) if f.startswith(cfg['maps']['floor_prefix'])]) @@ -34,30 +78,24 @@ def show_inference_page(cfg): st.warning("Nessuna mappa configurata.") return - # Lettura dati per conteggio df_infer = pd.DataFrame() if INFER_FILE.exists(): df_infer = pd.read_csv(INFER_FILE, sep=";") - # Layout riga 1 c_piano, c_count, c_size = st.columns([3, 2, 2]) - with c_piano: sub1, sub2 = st.columns([1, 1.2]) sub1.markdown("

Piano Visualizzato:

", unsafe_allow_html=True) floor_id = sub2.selectbox("", maps, key="inf_floor_v24", label_visibility="collapsed") - # Filtro dati per il piano scelto df_active = df_infer[(df_infer['z'].astype(str) == str(floor_id)) & (df_infer['x'] != -1)] if not df_infer.empty else pd.DataFrame() with c_count: st.info(f"📡 Beacon Attivi: **{len(df_active)}**\n(Totali nel file: {len(df_infer)})") with c_size: - # Slider per dimensione pallini (come nel mapper) m_size = st.slider("Dimensione Beacon:", 5, 20, 8, key="inf_msize_v24") - # Caricamento Metadati meta_path = MAPS_DIR / f"{cfg['maps']['meta_prefix']}{floor_id}.json" if not meta_path.exists(): return with open(meta_path, "r") as f: meta = json.load(f) @@ -73,30 +111,57 @@ def show_inference_page(cfg): m.options.update({"minZoom": -6, "maxZoom": 6, "zoomSnap": 0.25, "maxBounds": bounds, "maxBoundsViscosity": 1.0}) folium.raster_layers.ImageOverlay(image=img_data, bounds=bounds).add_to(m) - # Disegno Beacon + # Recupero nomi per etichette mappa + names_map = fetch_beacons_metadata(cfg) + if meta["calibrated"] and meta["origin"] != [0,0]: - # Origine + # Origine (Punto di riferimento) folium.CircleMarker(location=[meta["origin"][1], meta["origin"][0]], radius=4, color="black", fill=True).add_to(m) for _, row in df_active.iterrows(): px_x = (row['x'] * meta["pixel_ratio"]) + meta["origin"][0] px_y = meta["origin"][1] - (row['y'] * meta["pixel_ratio"]) - mac_label = str(row['mac'])[-5:] + + # --- UMANIZZAZIONE ETICHETTA MAPPA --- + norm_mac = _norm_mac_internal(row['mac']) + # Se disponibile usa il nome da API, altrimenti le ultime cifre del MAC + label_text = names_map.get(norm_mac, str(row['mac'])[-5:]) + # Pallino Beacon folium.CircleMarker( location=[px_y, px_x], radius=m_size, color="blue", - fill=True, fill_color="cyan", fill_opacity=0.8 + fill=True, fill_color="cyan", fill_opacity=0.8, + tooltip=f"Device: {label_text} | MAC: {row['mac']}" ).add_to(m) + # Etichetta Nome (accanto al punto) folium.Marker( location=[px_y, px_x], - icon=folium.DivIcon(html=f"""
{mac_label}
""") + icon=folium.DivIcon(html=f""" +
+ {label_text} +
+ """) ).add_to(m) st_folium(m, height=700, width=None, key=f"inf_map_v24_{floor_id}", use_container_width=True) - # --- 3. TABELLA RIEPILOGO COMPLETA --- + # --- 3. TABELLA RIEPILOGO COMPLETA (Arricchita con Nome API) --- if not df_infer.empty: st.subheader("Dettaglio Dispositivi (Tutti i Piani)") - # Aggiunta colonna Z per chiarezza - st.dataframe(df_infer[['mac', 'z', 'x', 'y']], use_container_width=True) + + df_display = df_infer.copy() + df_display['mac_norm'] = df_display['mac'].apply(_norm_mac_internal) + df_display['name'] = df_display['mac_norm'].map(names_map).fillna("Sconosciuto") + + # Selezione e riordino colonne finali + cols_to_show = ['mac', 'name', 'z', 'x', 'y'] + st.dataframe(df_display[cols_to_show], use_container_width=True) diff --git a/app/web_suite.py b/app/web_suite.py index d71e4aa..c3bbcd7 100644 --- a/app/web_suite.py +++ b/app/web_suite.py @@ -6,6 +6,7 @@ import time import signal import web_status import psutil +from pathlib import Path # --- 1. CONFIGURAZIONE PAGINA --- st.set_page_config( @@ -14,13 +15,14 @@ st.set_page_config( initial_sidebar_state="auto" ) -# --- 2. CONFIGURAZIONE PERCORSI --- -REAL_CONFIG_PATH = "/config/config.yaml" -if not os.path.exists(REAL_CONFIG_PATH): - REAL_CONFIG_PATH = "/app/config/config.yaml" - +# --- 2. CONFIGURAZIONE PERCORSI E STATI PERSISTENTI --- +REAL_CONFIG_PATH = "/config/config.yaml" if os.path.exists("/config/config.yaml") else "/app/config/config.yaml" LOG_FILE = "/tmp/main_process.log" +# File di stato su disco per la persistenza +CORE_STATE_FILE = "/data/config/core.enabled" +LOG_PID_FILE = "/tmp/mqtt_logging.pid" + def load_yaml(path): if not os.path.exists(path): return {} with open(path, 'r', encoding='utf-8') as f: return yaml.safe_load(f) or {} @@ -30,7 +32,12 @@ def save_yaml(path, data): cfg = load_yaml(REAL_CONFIG_PATH) +# --- 3. LOGICA PERSISTENZA CORE --- def stop_core_engine(): + """Arresta il core e rimuove il flag di persistenza.""" + if os.path.exists(CORE_STATE_FILE): + os.remove(CORE_STATE_FILE) + for proc in psutil.process_iter(['cmdline']): try: cmd = proc.info['cmdline'] @@ -42,9 +49,12 @@ def stop_core_engine(): except: pass def start_core_engine(): + """Avvia il core e crea il flag di persistenza su disco.""" + Path(CORE_STATE_FILE).touch() env = os.environ.copy() env["CONFIG"] = REAL_CONFIG_PATH env["PYTHONPATH"] = "/app" + # Reindirizzamento append log per non perdere lo storico dell'entrypoint with open(LOG_FILE, "a") as log_f: subprocess.Popen( ["python3", "-m", "app.main"], @@ -55,10 +65,18 @@ def start_core_engine(): start_new_session=True ) -# --- 3. TITOLO FISSO --- +# --- 4. MONITORAGGIO ATTIVO (SENZA AUTO-START BLOCCANTE) --- +# La logica di avvio al boot è ora gestita da entrypoint.sh. +# Qui segnaliamo solo se lo stato desiderato (file esistente) non coincide con quello reale. +if os.path.exists(CORE_STATE_FILE) and not web_status.is_main_running(): + st.sidebar.warning("⚠️ Core abilitato ma non in esecuzione.") + if st.sidebar.button("RIPRISTINA ORA"): + start_core_engine() + st.rerun() + +# --- 5. TITOLO E LOGIN --- st.title("🛰️ BLE AI Localizer - Suite") -# --- 4. LOGICA LOGIN --- if "password_correct" not in st.session_state: st.session_state["password_correct"] = False @@ -73,63 +91,60 @@ if not st.session_state["password_correct"]: st.error("Credenziali errate") st.stop() -# --- 5. AUTO-START --- -if not web_status.is_main_running(): - if "core_auto_launched" not in st.session_state: - start_core_engine() - st.session_state["core_auto_launched"] = True - time.sleep(1) - st.rerun() - # --- 6. SIDEBAR: CONTROLLI SISTEMA --- with st.sidebar: st.header("🛠️ Core Control") is_running = web_status.is_main_running() - if is_running: - st.markdown("STATO: :green[**CORE ATTIVO**]") - else: - st.markdown("STATO: :red[**CORE FERMO**]") + st.markdown(f"STATO: {':green[**CORE ATTIVO**]' if is_running else ':red[**CORE FERMO**]'}") if st.button("🚀 RIAVVIA CORE" if is_running else "▶️ AVVIA CORE", use_container_width=True): - with st.spinner("Gestione Core..."): - stop_core_engine() - time.sleep(1) - start_core_engine() - time.sleep(2) - st.rerun() + stop_core_engine() + time.sleep(1) + start_core_engine() + st.rerun() st.divider() - # --- GESTIONE MQTT RAW (DINAMICA DA CONFIG) --- - m_cfg = cfg.get('mqtt', {}) - m_host = m_cfg.get('host', '127.0.0.1') - m_port = m_cfg.get('port', 1883) - m_proto = m_cfg.get('protocol', 'mqttv311') - # Estraiamo la parola chiave dal topic (es: 'publish_out' da 'publish_out/#') - m_filter = m_cfg.get('topic', 'publish_out').split('/')[0] - - RAW_LOG_DIR = cfg.get('paths', {}).get('mqtt_raw_dir', '/data/mqtt_raw/') - os.makedirs(RAW_LOG_DIR, exist_ok=True) - raw_active = st.toggle("🔴 MQTT RAW RECORDING", value=st.session_state.get("mqtt_logging", False)) - if raw_active and not st.session_state.get("mqtt_logging"): + # --- GESTIONE MQTT RAW PERSISTENTE --- + is_logging_active = False + if os.path.exists(LOG_PID_FILE): + try: + with open(LOG_PID_FILE, "r") as f: + saved_pid = int(f.read().strip()) + if psutil.pid_exists(saved_pid): + is_logging_active = True + else: + os.remove(LOG_PID_FILE) + except: + pass + + raw_active = st.toggle("🔴 MQTT RAW RECORDING", value=is_logging_active) + + if raw_active and not is_logging_active: + RAW_LOG_DIR = cfg.get('paths', {}).get('mqtt_raw_dir', '/data/mqtt_raw/') + os.makedirs(RAW_LOG_DIR, exist_ok=True) dt = time.strftime("%Y%m%d_%H%M%S") filepath = os.path.join(RAW_LOG_DIR, f"mqtt_raw_{dt}.log") + m_cfg = cfg.get('mqtt', {}) + m_filter = m_cfg.get('topic', 'publish_out').split('/')[0] - # Comando generato dinamicamente dai parametri YAML - cmd = f"stdbuf -oL mosquitto_sub -v -h {m_host} -p {m_port} -t '#' -V {m_proto} | stdbuf -oL grep '{m_filter}' > {filepath}" - + cmd = f"stdbuf -oL mosquitto_sub -v -h {m_cfg.get('host')} -p {m_cfg.get('port')} -t '#' | stdbuf -oL grep '{m_filter}' > {filepath}" proc = subprocess.Popen(cmd, shell=True, preexec_fn=os.setsid) - st.session_state["mqtt_logging"] = True - st.session_state["mqtt_proc_pid"] = proc.pid - st.success(f"Log avviato: {m_host}") + + with open(LOG_PID_FILE, "w") as f: + f.write(str(proc.pid)) + st.rerun() - if not raw_active and st.session_state.get("mqtt_logging"): + elif not raw_active and is_logging_active: try: - os.killpg(os.getpgid(st.session_state["mqtt_proc_pid"]), signal.SIGTERM) + with open(LOG_PID_FILE, "r") as f: + pid_to_kill = int(f.read().strip()) + os.killpg(os.getpgid(pid_to_kill), signal.SIGTERM) + if os.path.exists(LOG_PID_FILE): os.remove(LOG_PID_FILE) + st.rerun() except: pass - st.session_state["mqtt_logging"] = False # --- 7. IMPORT MODULI E TABS --- from map_manager import show_mapper diff --git a/app/web_test_inference.py b/app/web_test_inference.py index 9eda4f4..49b37e0 100644 --- a/app/web_test_inference.py +++ b/app/web_test_inference.py @@ -53,14 +53,34 @@ def show_test_inference(cfg): m_pkg = joblib.load(MODEL_DIR / selected_model) delim = cfg.get('paths', {}).get('csv_delimiter', ';') df_test = pd.read_csv(TEST_SAMPLES_DIR / selected_test, sep=delim) - row = df_test.iloc[0] - z_real, x_real, y_real = int(round(float(row['z']))), float(row['x']), float(row['y']) + z_real, x_real, y_real = int(round(float(row['z']))), float(row['x']), float(row['y']) gws = m_pkg['gateways_order'] fill = m_pkg.get('nan_fill', -110.0) - X_in = np.array([[float(row.get(gw, fill)) for gw in gws]]) + + # --- DEBUG VETTORE INPUT --- + raw_vals = [] + for gw in gws: + val = row.get(gw) + raw_vals.append(float(val) if val is not None and not pd.isna(val) else fill) + + X_in = np.array([raw_vals]) + # Visualizzazione Debug in UI per l'operatore + with st.expander("🔍 Analisi Vettore di Input (Fingerprint vs Modello)"): + debug_df = pd.DataFrame({ + "Gateway MAC": gws, + "RSSI Letto": [row.get(gw, "NON TROVATO") for gw in gws], + "RSSI Finale (Input AI)": raw_vals + }) + st.dataframe(debug_df) + match_count = np.sum(X_in[0] > fill) + st.write(f"**Gateway Corrispondenti:** {match_count} su {len(gws)}") + if match_count == 0: + st.error("ERRORE: Il file di test non contiene nessuno dei Gateway usati per l'addestramento!") + + # Predizione z_pred = int(m_pkg['floor_clf'].predict(X_in)[0]) x_pred, y_pred = -1.0, -1.0 if z_pred in m_pkg['xy_by_floor']: @@ -68,27 +88,24 @@ def show_test_inference(cfg): x_pred, y_pred = float(xy[0]), float(xy[1]) z_err, dist_err = calculate_error(z_real, x_real, y_real, z_pred, x_pred, y_pred) - st.session_state.test_results = { "z_real": z_real, "x_real": x_real, "y_real": y_real, "z_pred": z_pred, "x_pred": x_pred, "y_pred": y_pred, - "z_err": z_err, "dist_err": dist_err, - "model_used": selected_model + "z_err": z_err, "dist_err": dist_err, "model_used": selected_model } except Exception as e: - st.error(f"Errore: {e}") + st.error(f"Errore durante l'inferenza: {e}") + # --- VISUALIZZAZIONE GRAFICA DEI RISULTATI --- if st.session_state.test_results: res = st.session_state.test_results - # --- RIPRISTINO INFORMAZIONI COORDINATE --- c_info1, c_info2 = st.columns(2) with c_info1: st.info(f"📍 **Test Reale** | Piano: {res['z_real']} | X: **{res['x_real']}** | Y: **{res['y_real']}**") with c_info2: st.success(f"🔮 **Predizione** | Piano: {res['z_pred']} | X: **{round(res['x_pred'],1)}** | Y: **{round(res['y_pred'],1)}**") - # --- LEGENDA AGGIORNATA CON NUOVI COLORI --- st.markdown(f"""
📍 Legenda Mappa
@@ -122,14 +139,13 @@ def show_test_inference(cfg): p_real = to_px(res['x_real'], res['y_real']) p_pred = to_px(res['x_pred'], res['y_pred']) - # 🔵 PUNTO DI TEST (Celeste) + # Marker Posizione Reale folium.CircleMarker( location=p_real, radius=11, color="#00838f", fill=True, - fill_color="#00bcd4", fill_opacity=0.85, - tooltip="PUNTO DI TEST (REALE)" + fill_color="#00bcd4", fill_opacity=0.85, tooltip="PUNTO DI TEST (REALE)" ).add_to(m) - # 🟠 PUNTO PREDETTO (Arancio) + # Marker Predizione if res['x_pred'] != -1.0: folium.CircleMarker( location=p_pred, radius=11, color="#e65100", fill=True, @@ -137,7 +153,7 @@ def show_test_inference(cfg): tooltip=f"PREDIZIONE (Modello: {res['model_used']})" ).add_to(m) - # Linea Errore + # Linea di errore (Gialla tratteggiata) folium.PolyLine( locations=[p_real, p_pred], color="#ffeb3b", weight=4, opacity=0.7, dash_array='8' diff --git a/config/config.yaml b/config/config.yaml index 5acf0a1..8c4bf24 100644 --- a/config/config.yaml +++ b/config/config.yaml @@ -60,7 +60,7 @@ infer: refresh_seconds: 10 rssi_max: -25 rssi_min: -110 - window_seconds: 7 + window_seconds: 30 xy_round: 0 maps: default_dot_size: 20 @@ -70,7 +70,7 @@ maps: meta_prefix: meta_ show_grid_default: true ml: - k: 5 + k: 3 method: knn metric: euclidean weights: distance @@ -103,7 +103,7 @@ train: folds: 5 k_max: 15 k_min: 3 - k: 5 + k: 3 metric: euclidean weights: distance model_path: /data/model/model.joblib diff --git a/data/config/core.enabled b/data/config/core.enabled new file mode 100644 index 0000000..e69de29 diff --git a/data/infer/infer.csv b/data/infer/infer.csv index 24d00fa..8385462 100644 --- a/data/infer/infer.csv +++ b/data/infer/infer.csv @@ -1,13 +1,13 @@ mac;z;x;y -C8:3F:8F:17:DB:35;-1;-1;-1 -C3:00:00:39:47:DF;-1;-1;-1 -C3:00:00:39:47:C4;-1;1917;650 -C3:00:00:39:47:E2;-1;-1;-1 -C7:AE:56:1E:38:B7;-1;1917;650 -E0:1F:9A:7A:47:D2;-1;-1;-1 -C3:00:00:57:B9:D9;-1;1917;650 -C3:00:00:57:B9:DB;-1;1917;650 -C3:00:00:57:B9:F4;-1;1917;650 -C3:00:00:57:B9:DC;-1;1917;650 -C3:00:00:57:B9:DD;-1;1917;650 -C3:00:00:57:B9:DF;-1;1917;650 +c8:3f:8f:17:db:35;-1;-1;-1 +c3:00:00:39:47:df;1;2082;1337 +c3:00:00:39:47:c4;1;883;1263 +c3:00:00:39:47:e2;1;1506;778 +c7:ae:56:1e:38:b7;1;2254;672 +e0:1f:9a:7a:47:d2;-1;-1;-1 +c3:00:00:57:b9:d9;1;2084;1344 +c3:00:00:57:b9:db;1;2066;1345 +c3:00:00:57:b9:f4;1;1790;989 +c3:00:00:57:b9:dc;1;875;1177 +c3:00:00:57:b9:dd;1;918;1037 +c3:00:00:57:b9:df;1;919;971 diff --git a/data/maps/floor_0.png b/data/maps/floor_0.png new file mode 100644 index 0000000..7298494 Binary files /dev/null and b/data/maps/floor_0.png differ diff --git a/data/maps/floor_1.png b/data/maps/floor_1.png new file mode 100644 index 0000000..ac26179 Binary files /dev/null and b/data/maps/floor_1.png differ diff --git a/data/maps/meta_0.json b/data/maps/meta_0.json new file mode 100644 index 0000000..280f37e --- /dev/null +++ b/data/maps/meta_0.json @@ -0,0 +1,9 @@ +{ + "pixel_ratio": 1.5838698443273016, + "calibrated": true, + "origin": [ + 1299, + 3742 + ], + "grid_size": 50 +} \ No newline at end of file diff --git a/data/maps/meta_1.json b/data/maps/meta_1.json new file mode 100644 index 0000000..11b04ae --- /dev/null +++ b/data/maps/meta_1.json @@ -0,0 +1,9 @@ +{ + "pixel_ratio": 1.5923301441291737, + "calibrated": true, + "origin": [ + 1348, + 3537 + ], + "grid_size": 50 +} \ No newline at end of file diff --git a/data/model/model.joblib b/data/model/model.joblib new file mode 120000 index 0000000..0ba181a --- /dev/null +++ b/data/model/model.joblib @@ -0,0 +1 @@ +model_camp_00_20260218_114109.joblib \ No newline at end of file diff --git a/data/model/model_camp_00_20260218_114109.joblib b/data/model/model_camp_00_20260218_114109.joblib new file mode 100644 index 0000000..75003ba Binary files /dev/null and b/data/model/model_camp_00_20260218_114109.joblib differ diff --git a/data/model/model_camp_04_20260218_114229.joblib b/data/model/model_camp_04_20260218_114229.joblib new file mode 100644 index 0000000..8dd388a Binary files /dev/null and b/data/model/model_camp_04_20260218_114229.joblib differ diff --git a/data/model/model_camp_08_20260218_114319.joblib b/data/model/model_camp_08_20260218_114319.joblib new file mode 100644 index 0000000..9d2ea6f Binary files /dev/null and b/data/model/model_camp_08_20260218_114319.joblib differ diff --git a/data/model/model_camp_12_20260218_114340.joblib b/data/model/model_camp_12_20260218_114340.joblib new file mode 100644 index 0000000..7e2776f Binary files /dev/null and b/data/model/model_camp_12_20260218_114340.joblib differ diff --git a/data/mqtt_raw/mqtt_raw_20260218_173135.log b/data/mqtt_raw/mqtt_raw_20260218_173135.log new file mode 100644 index 0000000..d57b62e --- /dev/null +++ b/data/mqtt_raw/mqtt_raw_20260218_173135.log @@ -0,0 +1,370 @@ +publish_out/ac233fc1dd48 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mode 100644 index 0000000..06cf47b --- /dev/null +++ b/data/train/jobs/done/GBC-01_1_2211_1431.csv @@ -0,0 +1,5 @@ +Position;Floor;RoomName;X;Y;Z;BeaconName;MAC +BC-00-21_1_2211_1431;1;BC-00-21;2211;1431;1;BC-00-21;C3:00:00:57:B9:E6 +BC-04-22_1_2211_1431;1;BC-04-22;2211;1431;1;BC-04-22;C3:00:00:57:B9:D4 +BC-08-23_1_2211_1431;1;BC-08-23;2211;1431;1;BC-08-23;C3:00:00:57:B9:E8 +BC-12-24_1_2211_1431;1;BC-12-24;2211;1431;1;BC-12-24;C3:00:00:57:B9:F1 diff --git a/data/train/jobs/done/GBC-01_1_2219_440.csv b/data/train/jobs/done/GBC-01_1_2219_440.csv new file mode 100644 index 0000000..06fe851 --- /dev/null +++ b/data/train/jobs/done/GBC-01_1_2219_440.csv @@ -0,0 +1,5 @@ +Position;Floor;RoomName;X;Y;Z;BeaconName;MAC +BC-00-21_1_2219_440;1;BC-00-21;2219;440;1;BC-00-21;C3:00:00:57:B9:E6 +BC-04-22_1_2219_440;1;BC-04-22;2219;440;1;BC-04-22;C3:00:00:57:B9:D4 +BC-08-23_1_2219_440;1;BC-08-23;2219;440;1;BC-08-23;C3:00:00:57:B9:E8 +BC-12-24_1_2219_440;1;BC-12-24;2219;440;1;BC-12-24;C3:00:00:57:B9:F1 diff --git a/data/train/jobs/done/GBC-01_1_2248_980.csv b/data/train/jobs/done/GBC-01_1_2248_980.csv new file mode 100644 index 0000000..c2a33af --- /dev/null +++ b/data/train/jobs/done/GBC-01_1_2248_980.csv @@ -0,0 +1,5 @@ +Position;Floor;RoomName;X;Y;Z;BeaconName;MAC +BC-00-21_1_2248_980;1;BC-00-21;2248;980;1;BC-00-21;C3:00:00:57:B9:E6 +BC-04-22_1_2248_980;1;BC-04-22;2248;980;1;BC-04-22;C3:00:00:57:B9:D4 +BC-08-23_1_2248_980;1;BC-08-23;2248;980;1;BC-08-23;C3:00:00:57:B9:E8 +BC-12-24_1_2248_980;1;BC-12-24;2248;980;1;BC-12-24;C3:00:00:57:B9:F1 diff --git a/data/train/jobs/done/GBC-01_1_2250_742.csv b/data/train/jobs/done/GBC-01_1_2250_742.csv new file mode 100644 index 0000000..cdef5b1 --- /dev/null +++ b/data/train/jobs/done/GBC-01_1_2250_742.csv @@ -0,0 +1,5 @@ +Position;Floor;RoomName;X;Y;Z;BeaconName;MAC +BC-00-21_1_2250_742;1;BC-00-21;2250;742;1;BC-00-21;C3:00:00:57:B9:E6 +BC-04-22_1_2250_742;1;BC-04-22;2250;742;1;BC-04-22;C3:00:00:57:B9:D4 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index 0000000..895fc58 --- /dev/null +++ b/data/train/jobs/done/GBC-02_0_1673_498.csv @@ -0,0 +1,5 @@ +Position;Floor;RoomName;X;Y;Z;BeaconName;MAC +BC-00-25_0_1673_498;0;BC-00-25;1673;498;0;BC-00-25;C3:00:00:57:B9:E7 +BC-04-26_0_1673_498;0;BC-04-26;1673;498;0;BC-04-26;C3:00:00:57:B9:D6 +BC-08-27_0_1673_498;0;BC-08-27;1673;498;0;BC-08-27;C3:00:00:57:B9:D7 +BC-12-28_0_1673_498;0;BC-12-28;1673;498;0;BC-12-28;C3:00:00:57:B9:F6 diff --git a/data/train/jobs/done/GBC-02_0_1859_51.csv b/data/train/jobs/done/GBC-02_0_1859_51.csv new file mode 100644 index 0000000..1f03375 --- /dev/null +++ b/data/train/jobs/done/GBC-02_0_1859_51.csv @@ -0,0 +1,5 @@ +Position;Floor;RoomName;X;Y;Z;BeaconName;MAC +BC-00-25_0_1859_51;0;BC-00-25;1859;51;0;BC-00-25;C3:00:00:57:B9:E7 +BC-04-26_0_1859_51;0;BC-04-26;1859;51;0;BC-04-26;C3:00:00:57:B9:D6 +BC-08-27_0_1859_51;0;BC-08-27;1859;51;0;BC-08-27;C3:00:00:57:B9:D7 +BC-12-28_0_1859_51;0;BC-12-28;1859;51;0;BC-12-28;C3:00:00:57:B9:F6 diff --git a/data/train/jobs/done/GBC-02_0_1861_1118.csv b/data/train/jobs/done/GBC-02_0_1861_1118.csv new file mode 100644 index 0000000..a1fa589 --- /dev/null +++ b/data/train/jobs/done/GBC-02_0_1861_1118.csv @@ -0,0 +1,5 @@ +Position;Floor;RoomName;X;Y;Z;BeaconName;MAC +BC-00-25_0_1861_1118;0;BC-00-25;1861;1118;0;BC-00-25;C3:00:00:57:B9:E7 +BC-04-26_0_1861_1118;0;BC-04-26;1861;1118;0;BC-04-26;C3:00:00:57:B9:D6 +BC-08-27_0_1861_1118;0;BC-08-27;1861;1118;0;BC-08-27;C3:00:00:57:B9:D7 +BC-12-28_0_1861_1118;0;BC-12-28;1861;1118;0;BC-12-28;C3:00:00:57:B9:F6 diff --git a/data/train/jobs/done/GBC-02_0_1958_250.csv b/data/train/jobs/done/GBC-02_0_1958_250.csv new file mode 100644 index 0000000..d83bdcd --- /dev/null +++ b/data/train/jobs/done/GBC-02_0_1958_250.csv @@ -0,0 +1,5 @@ +Position;Floor;RoomName;X;Y;Z;BeaconName;MAC +BC-00-25_0_1958_250;0;BC-00-25;1958;250;0;BC-00-25;C3:00:00:57:B9:E7 +BC-04-26_0_1958_250;0;BC-04-26;1958;250;0;BC-04-26;C3:00:00:57:B9:D6 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100644 index 0000000..3e8b539 --- /dev/null +++ b/data/train/jobs/done/GBC-03_1_1505_926.csv @@ -0,0 +1,5 @@ +Position;Floor;RoomName;X;Y;Z;BeaconName;MAC +BC-00-36_1_1505_926;1;BC-00-36;1505;926;1;BC-00-36;C3:00:00:57:B9:DC +BC-04-37_1_1505_926;1;BC-04-37;1505;926;1;BC-04-37;C3:00:00:57:B9:DD +BC-08-38_1_1505_926;1;BC-08-38;1505;926;1;BC-08-38;C3:00:00:57:B9:E3 +BC-12-39_1_1505_926;1;BC-12-39;1505;926;1;BC-12-39;C3:00:00:57:B9:DF diff --git a/data/train/jobs/done/GBC-03_1_1600_235.csv b/data/train/jobs/done/GBC-03_1_1600_235.csv new file mode 100644 index 0000000..740ef12 --- /dev/null +++ b/data/train/jobs/done/GBC-03_1_1600_235.csv @@ -0,0 +1,5 @@ +Position;Floor;RoomName;X;Y;Z;BeaconName;MAC +BC-00-36_1_1600_235;1;BC-00-36;1600;235;1;BC-00-36;C3:00:00:57:B9:DC +BC-04-37_1_1600_235;1;BC-04-37;1600;235;1;BC-04-37;C3:00:00:57:B9:DD +BC-08-38_1_1600_235;1;BC-08-38;1600;235;1;BC-08-38;C3:00:00:57:B9:E3 +BC-12-39_1_1600_235;1;BC-12-39;1600;235;1;BC-12-39;C3:00:00:57:B9:DF diff --git a/data/train/jobs/done/GBC-03_1_1631_1123.csv b/data/train/jobs/done/GBC-03_1_1631_1123.csv new file mode 100644 index 0000000..fdb6044 --- /dev/null +++ b/data/train/jobs/done/GBC-03_1_1631_1123.csv @@ -0,0 +1,5 @@ +Position;Floor;RoomName;X;Y;Z;BeaconName;MAC +BC-00-36_1_1631_1123;1;BC-00-36;1631;1123;1;BC-00-36;C3:00:00:57:B9:DC +BC-04-37_1_1631_1123;1;BC-04-37;1631;1123;1;BC-04-37;C3:00:00:57:B9:DD +BC-08-38_1_1631_1123;1;BC-08-38;1631;1123;1;BC-08-38;C3:00:00:57:B9:E3 +BC-12-39_1_1631_1123;1;BC-12-39;1631;1123;1;BC-12-39;C3:00:00:57:B9:DF diff --git a/data/train/jobs/done/GBC-03_1_1685_680.csv b/data/train/jobs/done/GBC-03_1_1685_680.csv new file mode 100644 index 0000000..4588ed5 --- /dev/null +++ b/data/train/jobs/done/GBC-03_1_1685_680.csv @@ -0,0 +1,5 @@ +Position;Floor;RoomName;X;Y;Z;BeaconName;MAC +BC-00-36_1_1685_680;1;BC-00-36;1685;680;1;BC-00-36;C3:00:00:57:B9:DC +BC-04-37_1_1685_680;1;BC-04-37;1685;680;1;BC-04-37;C3:00:00:57:B9:DD 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principale -# Sara' poi lei a gestire l'avvio di app.main +# Verifica quale percorso di configurazione utilizzare +if [ ! -f "$REAL_CONFIG_PATH" ]; then + REAL_CONFIG_PATH="/app/config/config.yaml" +fi + +if [ -f "$CORE_STATE_FILE" ]; then + echo "🔄 [BOOT] Rilevato stato persistente: Avvio automatico Core Engine..." + export CONFIG=$REAL_CONFIG_PATH + export PYTHONPATH=/app + # Avvia il core in background e reindirizza l'output al log globale + python3 -u -m app.main >> /tmp/main_process.log 2>&1 & +else + echo "ℹ️ [BOOT] Core Engine disattivato allo spegnimento precedente. In attesa di comando manuale." +fi + +# --- AVVIO INTERFACCIA WEB --- +echo "🚀 [BOOT] Avvio Web Suite..." exec streamlit run app/web_suite.py --server.port=8501 --server.address=0.0.0.0 diff --git a/tmp/main_process.log b/tmp/main_process.log new file mode 100644 index 0000000..ab0f839 --- /dev/null +++ b/tmp/main_process.log @@ -0,0 +1,259 @@ +--- Log resettato il 2026-02-18 17:34:12 --- +2026-02-18T18:34:19.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:34:29.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:34:39.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:34:49.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:35:00.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:35:10.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:35:20.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:35:30.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:35:40.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:35:50.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:36:00.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:36:11.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:36:21.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:36:31.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:36:41.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:36:51.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:37:01.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:37:12.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:37:22.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:37:32.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:37:42.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:37:52.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:38:02.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:38:12.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:38:23.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:38:33.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:38:43.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:38:53.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:39:03.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:39:13.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:39:24.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:39:34.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:39:44.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:39:49.000Z Core Orchestrator avviato. BUILD: core-orchestrator-v1.4-background-train +2026-02-18T18:39:49.000Z Avvio modalità SIMULTANEA (Collect + Train Executor + Infer)... +2026-02-18T18:39:49.000Z INFER_MODE build tag=infer-mac-fix-v21 +2026-02-18T18:39:49.000Z Tutti i processi core (incluso Train Executor) sono attivi. +2026-02-18T18:39:49.000Z 🧠 Aggiornamento modello: /data/model/model.joblib +2026-02-18T18:39:49.000Z ✅ MODELLO PRONTO: 16 GW. Fill: -110.0 +2026-02-18T18:39:49.000Z [1/16] ONLINE: ac:23:3f:c1:dc:d2 +2026-02-18T18:39:49.000Z [2/16] ONLINE: ac:23:3f:c1:dd:48 +2026-02-18T18:39:49.000Z CYCLE: 7/12 localized (Input GW match: 16) +2026-02-18T18:39:49.000Z [3/16] ONLINE: ac:23:3f:c1:dd:31 +2026-02-18T18:39:49.000Z [4/16] ONLINE: ac:23:3f:c1:dd:4e +2026-02-18T18:39:49.000Z [5/16] ONLINE: ac:23:3f:c1:dc:cb +2026-02-18T18:39:49.000Z [6/16] ONLINE: ac:23:3f:c1:dd:40 +2026-02-18T18:39:49.000Z [7/16] ONLINE: ac:23:3f:c1:dd:50 +2026-02-18T18:39:49.000Z [8/16] ONLINE: ac:23:3f:c1:dd:3c +2026-02-18T18:39:49.000Z [9/16] ONLINE: ac:23:3f:c1:dd:4b +2026-02-18T18:39:49.000Z [10/16] ONLINE: ac:23:3f:c1:dd:49 +2026-02-18T18:39:49.000Z [11/16] ONLINE: ac:23:3f:c1:dc:ee +2026-02-18T18:39:49.000Z [12/16] ONLINE: ac:23:3f:c1:dc:cd +2026-02-18T18:39:50.000Z [13/16] ONLINE: ac:23:3f:c1:dc:d1 +2026-02-18T18:39:50.000Z [14/16] ONLINE: ac:23:3f:c1:dd:51 +2026-02-18T18:39:50.000Z [15/16] ONLINE: ac:23:3f:c1:dd:55 +2026-02-18T18:39:51.000Z [16/16] ONLINE: ac:23:3f:c1:dc:d3 +2026-02-18T18:39:52.000Z Collector pronto. Monitoraggio directory Job... +2026-02-18T18:39:59.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:40:09.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:40:19.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:40:29.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:40:39.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:40:50.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:41:00.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:41:10.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:41:20.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:41:30.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:41:40.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:41:50.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:42:01.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:42:11.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:42:21.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:42:31.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:42:41.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:42:51.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:43:01.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:43:12.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:43:22.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:43:32.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:43:42.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:43:52.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:44:02.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:44:13.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:44:23.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:44:33.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:44:43.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:44:53.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:45:03.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:45:13.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:45:24.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:45:34.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:45:44.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:45:54.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:46:04.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:46:14.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:46:25.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:46:35.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:46:45.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:46:55.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:47:05.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:47:15.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:47:25.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:47:36.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:47:46.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:47:56.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:48:06.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:48:16.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:48:26.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:48:36.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:48:47.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:48:57.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:49:04.000Z Core Orchestrator avviato. BUILD: core-orchestrator-v1.4-background-train +2026-02-18T18:49:04.000Z Avvio modalità SIMULTANEA (Collect + Train Executor + Infer)... +2026-02-18T18:49:04.000Z INFER_MODE build tag=infer-mac-fix-v212026-02-18T18:49:04.000Z Tutti i processi core (incluso Train Executor) sono attivi. + +2026-02-18T18:49:04.000Z 🧠 Aggiornamento modello: /data/model/model.joblib +2026-02-18T18:49:04.000Z ✅ MODELLO PRONTO: 16 GW. Fill: -110.0 +2026-02-18T18:49:04.000Z [1/16] ONLINE: ac:23:3f:c1:dd:40 +2026-02-18T18:49:04.000Z CYCLE: 1/12 localized (Input GW match: 16) +2026-02-18T18:49:04.000Z [2/16] ONLINE: ac:23:3f:c1:dc:cb +2026-02-18T18:49:04.000Z [3/16] ONLINE: ac:23:3f:c1:dd:3c +2026-02-18T18:49:04.000Z [4/16] ONLINE: ac:23:3f:c1:dc:cd +2026-02-18T18:49:04.000Z [5/16] ONLINE: ac:23:3f:c1:dd:4b +2026-02-18T18:49:04.000Z [6/16] ONLINE: ac:23:3f:c1:dc:ee +2026-02-18T18:49:04.000Z [7/16] ONLINE: ac:23:3f:c1:dd:49 +2026-02-18T18:49:04.000Z [8/16] ONLINE: ac:23:3f:c1:dd:51 +2026-02-18T18:49:04.000Z [9/16] ONLINE: ac:23:3f:c1:dc:d1 +2026-02-18T18:49:04.000Z [10/16] ONLINE: ac:23:3f:c1:dd:55 +2026-02-18T18:49:04.000Z [11/16] ONLINE: ac:23:3f:c1:dc:d2 +2026-02-18T18:49:05.000Z [12/16] ONLINE: ac:23:3f:c1:dd:48 +2026-02-18T18:49:05.000Z [13/16] ONLINE: ac:23:3f:c1:dd:31 +2026-02-18T18:49:05.000Z [14/16] ONLINE: ac:23:3f:c1:dd:4e +2026-02-18T18:49:10.000Z [15/16] ONLINE: ac:23:3f:c1:dd:50 +2026-02-18T18:49:14.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:49:24.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:49:34.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:49:44.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:49:54.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:50:05.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:50:05.000Z [16/16] ONLINE: ac:23:3f:c1:dc:d3 +2026-02-18T18:50:05.000Z Collector pronto. Monitoraggio directory Job... +2026-02-18T18:50:15.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:50:25.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:50:35.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:50:45.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:50:55.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:51:05.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:51:16.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:51:26.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:51:36.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:51:46.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:51:56.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:52:06.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:52:16.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:52:27.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:52:37.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:52:47.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:52:57.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:53:07.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:53:17.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:53:27.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:53:38.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:53:48.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:53:58.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:54:08.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:54:18.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:54:28.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:54:40.000Z Core Orchestrator avviato. BUILD: core-orchestrator-v1.4-background-train +2026-02-18T18:54:40.000Z Avvio modalità SIMULTANEA (Collect + Train Executor + Infer)... +2026-02-18T18:54:40.000Z INFER_MODE build tag=infer-mac-fix-v21 +2026-02-18T18:54:40.000Z 🧠 Aggiornamento modello: /data/model/model.joblib +2026-02-18T18:54:40.000Z Tutti i processi core (incluso Train Executor) sono attivi. +2026-02-18T18:54:40.000Z ✅ MODELLO PRONTO: 16 GW. Fill: -110.0 +2026-02-18T18:54:40.000Z [1/16] ONLINE: ac:23:3f:c1:dc:ee +2026-02-18T18:54:40.000Z CYCLE: 1/12 localized (Input GW match: 16) +2026-02-18T18:54:40.000Z [2/16] ONLINE: ac:23:3f:c1:dd:49 +2026-02-18T18:54:41.000Z [3/16] ONLINE: ac:23:3f:c1:dc:d1 +2026-02-18T18:54:41.000Z [4/16] ONLINE: ac:23:3f:c1:dd:51 +2026-02-18T18:54:41.000Z [5/16] ONLINE: ac:23:3f:c1:dc:d2 +2026-02-18T18:54:41.000Z [6/16] ONLINE: ac:23:3f:c1:dd:48 +2026-02-18T18:54:41.000Z [7/16] ONLINE: ac:23:3f:c1:dd:55 +2026-02-18T18:54:41.000Z [8/16] ONLINE: ac:23:3f:c1:dd:31 +2026-02-18T18:54:41.000Z [9/16] ONLINE: ac:23:3f:c1:dd:4e +2026-02-18T18:54:41.000Z [10/16] ONLINE: ac:23:3f:c1:dc:cb +2026-02-18T18:54:41.000Z [11/16] ONLINE: ac:23:3f:c1:dd:40 +2026-02-18T18:54:41.000Z [12/16] ONLINE: ac:23:3f:c1:dd:50 +2026-02-18T18:54:41.000Z [13/16] ONLINE: ac:23:3f:c1:dc:cd +2026-02-18T18:54:41.000Z [14/16] ONLINE: ac:23:3f:c1:dd:3c +2026-02-18T18:54:41.000Z [15/16] ONLINE: ac:23:3f:c1:dd:4b +2026-02-18T18:54:51.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:54:58.000Z [16/16] ONLINE: ac:23:3f:c1:dc:d3 +2026-02-18T18:54:59.000Z Collector pronto. Monitoraggio directory Job... +2026-02-18T18:55:01.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:55:11.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:55:21.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:55:31.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:55:41.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:55:51.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:56:01.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:56:11.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:56:22.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:56:22.000Z 🧠 Aggiornamento modello: /data/model/model.joblib +2026-02-18T18:56:22.000Z ✅ MODELLO PRONTO: 16 GW. Fill: -110.0 +2026-02-18T18:56:32.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:56:42.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:56:52.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:57:02.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:57:12.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:57:22.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:57:32.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:57:43.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:57:53.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:58:03.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:58:13.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:58:23.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:58:33.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:58:44.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:58:51.000Z Core Orchestrator avviato. BUILD: core-orchestrator-v1.4-background-train +2026-02-18T18:58:51.000Z Avvio modalità SIMULTANEA (Collect + Train Executor + Infer)... +2026-02-18T18:58:52.000Z INFER_MODE build tag=infer-mac-fix-v21 +2026-02-18T18:58:52.000Z Tutti i processi core (incluso Train Executor) sono attivi.2026-02-18T18:58:52.000Z 🧠 Aggiornamento modello: /data/model/model.joblib + +2026-02-18T18:58:52.000Z ✅ MODELLO PRONTO: 16 GW. Fill: -110.0 +2026-02-18T18:58:52.000Z [1/16] ONLINE: ac:23:3f:c1:dc:d2 +2026-02-18T18:58:52.000Z [2/16] ONLINE: ac:23:3f:c1:dd:48 +2026-02-18T18:58:52.000Z CYCLE: 8/12 localized (Input GW match: 16) +2026-02-18T18:58:52.000Z [3/16] ONLINE: ac:23:3f:c1:dd:31 +2026-02-18T18:58:52.000Z [4/16] ONLINE: ac:23:3f:c1:dd:55 +2026-02-18T18:58:52.000Z [5/16] ONLINE: ac:23:3f:c1:dd:4e +2026-02-18T18:58:52.000Z [6/16] ONLINE: ac:23:3f:c1:dc:cb +2026-02-18T18:58:52.000Z [7/16] ONLINE: ac:23:3f:c1:dd:40 +2026-02-18T18:58:52.000Z [8/16] ONLINE: ac:23:3f:c1:dc:cd +2026-02-18T18:58:52.000Z [9/16] ONLINE: ac:23:3f:c1:dd:50 +2026-02-18T18:58:52.000Z [10/16] ONLINE: ac:23:3f:c1:dd:3c +2026-02-18T18:58:52.000Z [11/16] ONLINE: ac:23:3f:c1:dd:4b +2026-02-18T18:58:52.000Z [12/16] ONLINE: ac:23:3f:c1:dc:ee +2026-02-18T18:58:52.000Z [13/16] ONLINE: ac:23:3f:c1:dd:49 +2026-02-18T18:58:52.000Z [14/16] ONLINE: ac:23:3f:c1:dc:d1 +2026-02-18T18:58:52.000Z [15/16] ONLINE: ac:23:3f:c1:dd:51 +2026-02-18T18:58:55.000Z [16/16] ONLINE: ac:23:3f:c1:dc:d3 +2026-02-18T18:58:56.000Z Collector pronto. Monitoraggio directory Job... +2026-02-18T18:59:02.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:59:12.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:59:22.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:59:32.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:59:42.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T18:59:52.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T19:00:03.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T19:00:13.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T19:00:23.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T19:00:33.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T19:00:43.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T19:00:53.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T19:01:03.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T19:01:14.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T19:01:24.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T19:01:34.000Z CYCLE: 10/12 localized (Input GW match: 16) +2026-02-18T19:01:44.000Z CYCLE: 10/12 localized (Input GW match: 16)