feat: collect Bybit orderbook observations for training

crypto_spot_bot/dashboard.py

@@ -149,6 +149,27 @@ def create_app(settings: Settings | None = None) -> FastAPI:
     async def training_status(_: None = Depends(authorizer.require)) -> dict[str, Any]:
         return training.status()
 
+    @app.get("/api/training/market-observations")
+    async def training_market_observations(
+        symbol: str,
+        after_id: int = 0,
+        limit: int = 5000,
+        _: None = Depends(authorizer.require_training),
+    ) -> dict[str, Any]:
+        normalized_symbol = symbol.strip().upper()
+        if not normalized_symbol:
+            raise HTTPException(status_code=400, detail="symbol is required")
+        items = storage.market_observations_after(
+            symbol=normalized_symbol,
+            after_id=max(0, after_id),
+            limit=max(1, min(limit, 5000)),
+        )
+        return {
+            "symbol": normalized_symbol,
+            "items": items,
+            "next_after_id": int(items[-1]["id"]) if items else max(0, after_id),
+        }
+
     @app.post("/api/training/retrain")
     async def training_retrain(
         payload: dict[str, Any] | None = None,
@@ -407,6 +428,8 @@ def _safe_config(settings: Settings) -> dict[str, Any]:
         "time_series_require_fresh_model": settings.time_series_require_fresh_model,
         "time_series_model_max_age_hours": settings.time_series_model_max_age_hours,
         "market_ticker_max_age_seconds": settings.market_ticker_max_age_seconds,
+        "market_observation_enabled": settings.market_observation_enabled,
+        "market_observation_sample_seconds": settings.market_observation_sample_seconds,
         "time_series_model_artifact": _time_series_model_artifact(settings),
         "stop_loss_percent": settings.stop_loss_percent,
         "stop_loss_exit_enabled": settings.stop_loss_exit_enabled,