def save_log_to_recording(filepath: str):
"""
Extract the stimulus parameters needed for analysis from a single .pkl log file, and save them
to the corresponding .hdf5 recording file.
Parameters
----------
filepath : str
Full path to the file.
Returns
-------
None
"""
analyser = dla.DisplayLogAnalyzer(Path(filepath))
analyser.stim_block_extractor()
analyser.save_to_recording()
def save_logs_in_folder_to_recording(folder_path: Path):
"""
Extract the stimulus parameters needed for analysis from the .pkl log files in a folder, and save them
to their corresponding .hdf5 recording files.
Parameters
----------
folder_path: Path
Path of the folder which contains the log files.
"""
for filename in os.listdir(folder_path):
print(filename)
if filename[-3:] == 'pkl':
analyser = dla.DisplayLogAnalyzer(folder_path / filename)
print("Init ok")
analyser.stim_block_extractor()
print("Stim block extraction done")
analyser.save_to_recording()
import os import retinotopic_mapping.DisplayLogAnalysis as dla import corticalmapping.NwbTools as nt curr_folder = os.path.dirname(os.path.realpath(__file__)) os.chdir(curr_folder) nwb_fn = [f for f in os.listdir(curr_folder) if f[-4:] == '.nwb'][0] nwb_f = nt.RecordedFile(nwb_fn) stim_pkl_fn = [f for f in os.listdir(curr_folder) if f[-4:] == '.pkl'][0] stim_log = dla.DisplayLogAnalyzer(stim_pkl_fn) nwb_f.add_visual_display_log_retinotopic_mapping(stim_log=stim_log) nwb_f.close()
def setUp(self):
self.log_path = os.path.join(
curr_folder, 'test_data',
'180323212952-CombinedStimuli-MMOUSE-USER-TEST-notTriggered-complete.pkl'
)
self.log = dla.DisplayLogAnalyzer(log_path=self.log_path)
"""
Extract the stimulus parameters needed for analysis from the .pkl log files in a folder, and save them
to .json files.
Parameters
----------
folder_path: Path
Path of the folder which contains the log files.
"""
for filename in os.listdir(folder_path):
print(filename)
if filename[-3:] == 'pkl':
analyser = dla.DisplayLogAnalyzer(folder_path / filename)
print("Init ok")
analyser.stim_block_extractor()
print("Stim block extraction done")
analyser.save_to_json()
if __name__ == '__main__':
folder_path = Path(
"D:/Widefield experiment data/12.18/N.o. 35/good_cp/stimulus/data/visual_display_log/"
)
save_logs_in_folder_to_recording(folder_path)
exit()
file_path = "201028113056-CombinedStimuli-MTest-Name-000-notTriggered-complete.pkl"
full_path = folder_path / file_path
an = dla.DisplayLogAnalyzer(full_path)
print("OKOK")