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Update app.py
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app.py
CHANGED
@@ -111,7 +111,6 @@ def fetch_and_process_sdo_data(target_dt, forecast_horizon_minutes):
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if data_maps[t].get("hmi_bx"): data_maps[t][channel] = data_maps[t]["hmi_bx"]
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continue
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# *** FIX: Provide a valid time range for the Fido search query. ***
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time_attr = a.Time(t - datetime.timedelta(minutes=2), t + datetime.timedelta(minutes=2))
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instrument = a.Instrument.hmi if "hmi" in channel else a.Instrument.aia
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query = Fido.search(time_attr, instrument, physobs, sample, a.Time.nearest==True)
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@@ -139,7 +138,8 @@ def fetch_and_process_sdo_data(target_dt, forecast_horizon_minutes):
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if exp_time is None or exp_time <= 0: exp_time = 1.0
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norm_data = reprojected_data / exp_time
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channel_tensors.append(torch.from_numpy(scaled_data.astype(np.float32)))
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processed_tensors[t] = torch.stack(channel_tensors)
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if data_maps[t].get("hmi_bx"): data_maps[t][channel] = data_maps[t]["hmi_bx"]
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continue
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time_attr = a.Time(t - datetime.timedelta(minutes=2), t + datetime.timedelta(minutes=2))
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instrument = a.Instrument.hmi if "hmi" in channel else a.Instrument.aia
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query = Fido.search(time_attr, instrument, physobs, sample, a.Time.nearest==True)
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if exp_time is None or exp_time <= 0: exp_time = 1.0
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norm_data = reprojected_data / exp_time
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# *** FIX: Corrected the syntax error on this line ***
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scaled_data = scaler.transform(norm_data.reshape(-1, 1), c_idx=i).reshape(norm_data.shape)
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channel_tensors.append(torch.from_numpy(scaled_data.astype(np.float32)))
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processed_tensors[t] = torch.stack(channel_tensors)
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