def process_tdmsfile(tdmsfile_info, rerun = False):
import os, sys
sys.path.append('/extra/public/python/tools/')
import readTDMS as tdms
casedir, casename = tdmsfile_info
hdf5name = os.path.join(casedir, casename.replace('.tdms', '.hdf5'))
if rerun == False:
# skip already converted files
if os.path.isfile(hdf5name):
if os.path.getsize(hdf5name) > 0:
return
# print casedir + ": " + casename
metadata, rawdata, datafilename = tdms.readfile(casedir, casename)
expdata = tdms.tdmstodict(metadata, rawdata)
del rawdata, metadata
recordings = tdms.formatrecordings(expdata)
del expdata
tdmsfilename = datafilename
hdf5filename = tdms.savehdf5(tdmsfilename, recordings)
return casedir + ": " + casename
for dirpath, dirnames, filenames in os.walk('/scratch/HumanHighspeed/'):
for filename in filenames:
fullfilepath = os.path.join(dirpath, filename)
if not fullfilepath.endswith('.converted.tdms'):
continue
if os.path.isfile(fullfilepath.replace('.converted.tdms', '.wav')):
continue
casedir = dirpath
casename = filename
try:
metadata, rawchanneldata, datafilename = tdms.readfile(casedir, casename)
except Exception as e:
print e
print "problems reading: "
print casedir
print casename
print "filesize of original tdms [Bytes]: ", os.path.getsize(fullfilepath.replace('.converted.tdms', '.tdms'))
print
continue
print
savefilepath = fullfilepath.replace('.converted.tdms', '.metadata.npz')
print "saving metadata: ", savefilepath
np.savez_compressed(savefilepath, metadata = metadata)
