Update per changes in mt_metadata

- rename extra_pre_fft_detrend_type to per_window_detrend_type
- add explicit assignment of per_window_detrend_type="linear" in config creator

aurora/config/config_creator.py

@@ -108,9 +108,7 @@ def determine_band_specification_style(self) -> None:
             logger.info(msg)
             self._emtf_band_file = BANDS_DEFAULT_FILE
             self._band_specification_style = "EMTF"
-        elif (self._emtf_band_file is not None) & (
-            self._band_edges is not None
-        ):
+        elif (self._emtf_band_file is not None) & (self._band_edges is not None):
             msg = "Bands defined twice, and possibly inconsistently"
             logger.error(msg)
             raise ValueError(msg)
@@ -152,6 +150,8 @@ def create_from_kernel_dataset(
 
           Theoretically, you could also use the number of decimations implied by bands_dict but this is sloppy, because it would assume the decimation factor.
 
+         3. 2024-12-29 Added setting of decimation_obj.stft.per_window_detrend_type = "linear"
+          This makes tests pass following a refactoring of mt_metadata.  Could use more testing.
 
         Parameters
         ----------
@@ -178,9 +178,7 @@ def create_from_kernel_dataset(
             Object storing the processing parameters.
         """
 
-        processing_obj = Processing(
-            id=kernel_dataset.processing_id
-        )  # , **kwargs)
+        processing_obj = Processing(id=kernel_dataset.processing_id)  # , **kwargs)
 
         # pack station and run info into processing object
         processing_obj.stations.from_dataset_dataframe(kernel_dataset.df)
@@ -209,9 +207,7 @@ def create_from_kernel_dataset(
                 decimation_factors[0] = 1
             if num_samples_window is None:
                 default_window = Window()
-                num_samples_window = num_decimations * [
-                    default_window.num_samples
-                ]
+                num_samples_window = num_decimations * [default_window.num_samples]
             elif isinstance(num_samples_window, int):
                 num_samples_window = num_decimations * [num_samples_window]
             # now you can define the frequency bands
@@ -248,4 +244,6 @@ def create_from_kernel_dataset(
                     decimation_obj.estimator.engine = estimator["engine"]
                 except KeyError:
                     pass
+            decimation_obj.stft.per_window_detrend_type = "linear"
+
         return processing_obj

aurora/pipelines/fourier_coefficients.py

@@ -8,7 +8,7 @@
 "decimation.level": 2,
 "decimation.method": "default",
 "decimation.sample_rate": 0.0625,
-"extra_pre_fft_detrend_type": "linear",
+"per_window_detrend_type": "linear",
 "prewhitening_type": "first difference",
 "window.clock_zero_type": "ignore",
 "window.num_samples": 128,

aurora/pipelines/time_series_helpers.py

@@ -336,7 +336,7 @@ def run_ts_to_stft(
         data=tapered_obj,
         sample_rate=windowing_scheme.sample_rate,
         spectral_density_correction=windowing_scheme.linear_spectral_density_calibration_factor,
-        detrend_type=decimation_obj.extra_pre_fft_detrend_type,
+        detrend_type=decimation_obj.stft.per_window_detrend_type,
     )
 
     if decimation_obj.stft.recoloring:

tests/synthetic/test_stft_methods_agree.py

@@ -68,11 +68,9 @@ def test_stft_methods_agree():
             run_ts = run_obj.to_runts(start=None, end=None)
             local_run_xrts = run_ts.dataset
         else:
-            local_run_xrts = prototype_decimate(
-                dec_config.decimation, local_run_xrts
-            )
+            local_run_xrts = prototype_decimate(dec_config.decimation, local_run_xrts)
 
-        dec_config.extra_pre_fft_detrend_type = "constant"
+        dec_config.stft.per_window_detrend_type = "constant"
         local_stft_obj = run_ts_to_stft(dec_config, local_run_xrts)
         local_stft_obj2 = run_ts_to_stft_scipy(dec_config, local_run_xrts)
         stft_difference = local_stft_obj - local_stft_obj2