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Update app.py
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app.py
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@@ -84,7 +84,10 @@ except:
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from ensemble import combine_scores
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def combine_scores(symbol, timeframe, t, m, l, sent, r):
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# --- DB, SYNC & HUGGING FACE BACKUP ---
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DB_NAME = "alphatrade_v31_dino.db"
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# --- 🛡️ STATE MANAGER ---
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active_signals_state = {}
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def clean_old_db_signals(symbol, timeframe):
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dino_brain = None
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# ---
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async def fetch_kucoin_futures_data(symbol):
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ku_sym = symbol.replace("/", "").replace("BTC", "XBT") + "M"
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def prepare_features_sync(symbol, timeframe='1h', limit_bars=600):
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from ensemble import combine_scores
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def combine_scores(symbol, timeframe, t, m, l, sent, r):
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# Formule PRO : 30% Time, 30% ML, 30% LightGBM, 10% Sentiment
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score = (t * 0.30) + (m * 0.30) + (l * 0.30) + (sent * 0.10)
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return score, 0.30, 0.30, 0.30, 0.10
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# --- DB, SYNC & HUGGING FACE BACKUP ---
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DB_NAME = "alphatrade_v31_dino.db"
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# --- 🛡️ STATE MANAGER ---
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active_signals_state = {}
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last_signals_sent = {} # ⬅️ LA RUSTINE CRITIQUE EST LÀ
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def clean_old_db_signals(symbol, timeframe):
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dino_brain = None
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# --- 🌐 HTTP SESSION MANAGER ---
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global_aio_session = None
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async def get_aio_session():
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global global_aio_session
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if global_aio_session is None or global_aio_session.closed:
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global_aio_session = aiohttp.ClientSession()
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return global_aio_session
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async def fetch_kucoin_futures_data(symbol):
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ku_sym = symbol.replace("/", "").replace("BTC", "XBT") + "M"
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session = await get_aio_session() # On utilise la session globale ouverte
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oi_url = f"https://api-futures.kucoin.com/api/v1/open-interest?symbol={ku_sym}"
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trade_url = f"https://api-futures.kucoin.com/api/v1/trade/history?symbol={ku_sym}"
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async with session.get(oi_url) as r1, session.get(trade_url) as r2:
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oi_json = await r1.json()
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trades = (await r2.json()).get("data", [])
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cvd = sum([float(t.get("size", 0)) if t.get("side") == "buy" else -float(t.get("size", 0)) for t in trades])
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return {"oi": float(oi_json.get("data", {}).get("value", 0)), "cvd": cvd}
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except Exception as e:
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print(f"⚠️ Erreur Flux KuCoin ({symbol}) : {e}")
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return {"oi": 0, "cvd": 0}
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def prepare_features_sync(symbol, timeframe='1h', limit_bars=600):
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try:
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