Update app.py

app.py

@@ -111,8 +111,10 @@ def fetch_and_process_sdo_data(target_dt, forecast_horizon_minutes):
                 if data_maps[t].get("hmi_bx"): data_maps[t][channel] = data_maps[t]["hmi_bx"]
                 continue
             
+            # *** FIX: Provide a valid time range for the Fido search query. ***
+            time_attr = a.Time(t - datetime.timedelta(minutes=2), t + datetime.timedelta(minutes=2))
             instrument = a.Instrument.hmi if "hmi" in channel else a.Instrument.aia
-            query = Fido.search(a.Time(t), instrument, physobs, sample, a.Time.nearest==True)
+            query = Fido.search(time_attr, instrument, physobs, sample, a.Time.nearest==True)
             
             if not query: raise ValueError(f"No data found for {channel} near {t}")
             files = Fido.fetch(query, path="./data/sdo_cache")
@@ -137,7 +139,7 @@ def fetch_and_process_sdo_data(target_dt, forecast_horizon_minutes):
             if exp_time is None or exp_time <= 0: exp_time = 1.0
             norm_data = reprojected_data / exp_time
 
-            scaled_data = scaler.transform(norm_data, c_idx=i)
+            scaled_data = scaler.transform(.reshape(-1, 1), c_idx=i).reshape(norm_data.shape)
             channel_tensors.append(torch.from_numpy(scaled_data.astype(np.float32)))
         processed_tensors[t] = torch.stack(channel_tensors)