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)