filter = session.query(db.Filter).\
filter_by(recording_id=recording.id, filter_type=filter_type, poles=taps-1, window=window,\
band_name=band, band_min=band_min, band_max=band_max, duration=data['displacement'].shape[1],\
notch=False,phase_shuffled=False).first()
if not filter:
filter = db.Filter(\
recording_id=recording.id, filter_type=filter_type, poles=taps-1, window=window,\
band_name=band, band_min=band_min, band_max=band_max, duration=data['displacement'].shape[1],\
notch=False,phase_shuffled=False,\
subject_id = subject.id, task_id=task.id, experiment_id=experiment.id, sensor_id=sensor.id)
session.add(filter)
session.commit()
avalanches.avalanche_analyses(f.file.filename, HDF5_group=base_filtered+'/'+band,\
threshold_mode=threshold_mode, threshold_levels=threshold_levels, threshold_directions=threshold_directions,\
event_signals=event_signals, event_detections=event_detections,\
time_scales=time_scales, cascade_methods=cascade_methods,\
given_xmin_xmax=given_xmin_xmax,\
spatial_samples=spatial_samples, temporal_samples=temporal_samples,\
session=session, database_url=database_url,\
subject_id=subject.id, task_id=task.id, experiment_id=experiment.id,\
sensor_id=sensor.id, recording_id=recording.id, filter_id=filter.id,\
cluster=cluster, swarms_directory=swarms_directory, analyses_directory=analyses_directory,\
python_location=python_location,\
verbose=True)
break
session.close()
session.bind.dispose()
