Remove legacy LSTM retraining

crypto_spot_bot/dashboard.py

@@ -217,9 +217,6 @@ def _safe_config(settings: Settings) -> dict[str, Any]:
         "time_series_min_edge_percent": settings.time_series_min_edge_percent,
         "time_series_max_adjustment": settings.time_series_max_adjustment,
         "time_series_lstm_enabled": settings.time_series_lstm_enabled,
-        "time_series_lstm_lookback": settings.time_series_lstm_lookback,
-        "time_series_lstm_units": settings.time_series_lstm_units,
-        "time_series_lstm_ridge": settings.time_series_lstm_ridge,
         "time_series_lstm_model_path": str(settings.time_series_lstm_model_path),
         "time_series_model_artifact": _time_series_model_artifact(settings),
         "stop_loss_percent": settings.stop_loss_percent,
@@ -266,16 +263,19 @@ def _time_series_model_artifact(settings: Settings) -> dict[str, Any]:
         }
     )
     artifact_type = str(data.get("type", "")).strip()
-    if artifact_type == "pytorch_recurrent_forecaster":
-        label = "PyTorch LSTM/GRU"
-    elif artifact_type == "lstm_reservoir_ridge_params":
-        label = "легкий LSTM fallback"
-    else:
-        label = artifact_type or "настройки прогноза"
+    if artifact_type != "pytorch_recurrent_forecaster":
+        return {
+            "available": False,
+            "type": artifact_type or "unknown",
+            "label": "устаревший файл модели не используется",
+            "created_at": data.get("created_at", ""),
+            "symbol_count": len(rows),
+            "models": models,
+        }
     return {
         "available": True,
-        "type": artifact_type or "unknown",
-        "label": label,
+        "type": artifact_type,
+        "label": "PyTorch LSTM/GRU",
         "created_at": data.get("created_at", ""),
         "symbol_count": len(rows),
         "models": models,
@@ -289,7 +289,7 @@ def _forecast_model_label(model: str) -> str:
     if normalized == "torch_gru":
         return "PyTorch GRU"
     if normalized == "lstm":
-        return "легкий LSTM"
+        return "устаревший LSTM"
     if normalized == "gru":
         return "GRU"
     return model
@@ -742,7 +742,7 @@ HTML = r"""
       const names = {
         torch_lstm: 'PyTorch LSTM',
         torch_gru: 'PyTorch GRU',
-        lstm: 'Легкий LSTM',
+        lstm: 'Устаревший LSTM',
         naive: 'Baseline',
         drift: 'Drift',
         ewma: 'EWMA',
@@ -757,7 +757,7 @@ HTML = r"""
       return String(reason || '')
         .replaceAll('torch_lstm', 'PyTorch LSTM')
         .replaceAll('torch_gru', 'PyTorch GRU')
-        .replaceAll('модель lstm', 'модель легкий LSTM');
+        .replaceAll('модель lstm', 'модель устаревший LSTM');
     }
 
     function modelArtifactSummary(config) {