# initialize lists
module_input_json = []
module_output_json = []
session_id = []
data_directory = []
for i, spec in enumerate(recording_specs):
path = spec[0]
npx_directory = os.path.dirname(path)
fname, fextension = os.path.splitext(path)
input_meta_fullpath = os.path.join(npx_directory, (fname + '.meta'))
print(input_meta_fullpath)
binName = os.path.basename(path)
baseName = SpikeGLX_utils.ParseTcatName(binName)
prbStr = SpikeGLX_utils.GetProbeStr(binName) # returns empty string for 3A
# Create output directory
kilosort_output_parent = os.path.join(npx_directory, baseName)
if not os.path.exists(kilosort_output_parent):
os.mkdir(kilosort_output_parent)
# output subdirectory
outputName = 'imec' + prbStr + '_ks2'
kilosort_output_dir = os.path.join(kilosort_output_parent, outputName)
session_id.append(baseName)
#'psth_events',
#'mean_waveforms',
#'quality_metrics'
]
for fi in run_names:
[h,t] = os.path.split(fi)
npx_directory = h
npx_file = glob.glob(os.path.join(npx_directory,'*.ap.bin'))
print(npx_file[0])
[h,t]=os.path.split(h)
session_id = t
baseName = SpikeGLX_utils.ParseTcatName(npx_file[0])
print(session_id)
input_json = os.path.join(fi, session_id +'-inputClassifier.json')
output_json = os.path.join(fi, session_id +'-outputClassifier.json')
print( 'Creating json file postprocessing')
info = createInputJson(input_json, npx_directory=npx_directory,
continuous_file = npx_file[0],