def main(argv):

    epocher_hdf_fname = None
    
 #--- get args from parser   
    opt,parser = jpp_utils.get_args()
  
#--- set debug & test mode
    if opt.debug :
       opt.experiment = 'TEST01'
       opt.stage      = os.getenv('MY_LOCAL_DATA','.') + '/Chrono/mne'
       opt.fifname    = '201195_Chrono01_110516_1413_1_c,rfDC-raw.fif' #'201195_test.fif'  #None
       opt.pathfif    = '201195/Chrono01/110516_1413/1'  #None
       opt.verbose    = True
       opt.run        = True     
       #condition_list  = ('LRst','LRrt')
#---   
    if opt.verbose :
           print"\n---> ARGV parameter:"
           print" --> experiment  : " + str(opt.experiment)
           print" --> condition   : " + str(opt.conditions)
           print" --> stage       : " + str(opt.stage)
           print" --> stage eeg   : " + str(opt.stage_eeg)

           print" --> path to fif : " + str(opt.pathfif)
           print" --> fif name    : " + str(opt.fifname)
           print" --> path to list: " + str(opt.pathlist)
           print" --> fname list  : " + str(opt.fnamelist)
           print" --> verbose     : " + str(opt.verbose)
           print" --> run         : " + str(opt.run)
           print" --> debug mode  : " + str(opt.debug)
           print"\n\n"  
       
#--- update base  
    jumeg_base.verbose = opt.verbose
 
#--- init experiment template parameter
    jtmp_exp.template_name = opt.experiment
    jtmp_exp.verbose       = opt.verbose

    #- read template parameters into dict
    tmp = jtmp_exp.template_update_file()

    #--- make obj from dict 
    TMP      = jtmp_exp.template_get_as_obj()
    path_exp = TMP.experiment.path.experiment
       
    if opt.stage is None:
       opt.stage = TMP.experiment.path.mne 

#---
    if opt.verbose :
           print"\n---> Experiment Template parameter:"
           print" --> name         : "+ jtmp_exp.template_name
           print" --> template file: "+ jtmp_exp.template_full_file_name
           print"\n"
#---
    if not opt.run:
       print "===> Done jumeg preprocessing , set run flag for real data processing\n"
       print parser.print_help()
       print"\n"
       exit() 


    #--- get existing files from list  e.g.
    # 005/MEG94T/121219_1311/1/005_MEG94T_121219_1311_1_c,rfDC-raw.fif -bads=A1
    # 007/MEG94T/121217_1239/1/007_MEG94T_121217_1239_1_c,rfDC-raw.fif -bads=A1,A2

    fn_raw_list=[]
    fn_raw_bad_channel_dict=[]
    opt_dict   = {}

    if opt.fnamelist:
       # fn_raw_list,fn_raw_bad_channel_dict = jumeg_base.get_filename_list_from_file(opt.pathlist + "/" + opt.fnamelist,start_path = opt.stage)
       fn_raw_list,opt_dict = jumeg_base.get_filename_list_from_file(opt.pathlist + "/" + opt.fnamelist,start_path=opt.stage)

#--- check & add fif file to list update bad channel dict
    if opt.fifname:
       if opt.pathfif :
          f = opt.pathfif +"/"+ opt.fifname
       f = opt.fifname
       if os.path.isfile(f):
          fn_raw_list.append(f)
       elif os.path.isfile(opt.stage + '/' + f):
            f = opt.stage + '/' + f
            fn_raw_list.append(f)

       opt_dict[f] = {'bads': None, 'feeg': None}

       if opt.bads:
             opt_dict[f]['bads'] = opt.bads
       if opt.eeg_fname:  # --- bad channels
             opt_dict[f]['feeg'] = opt.eeg_fname


   #--- raw obj short-cut
    tmp_pp_raw = TMP.experiment.data_preprocessing.raw

 
   #--- loop preproc for each fif file
    for fif_file in (fn_raw_list) :
        raw          = None  
        fif_file_raw = fif_file
      #--- check opt / set bad channels / merge eeg
        if ( fif_file in opt_dict ):
            if opt_dict[fif_file]['bads']:
                print "\n ===> Bad Channel -> " + fif_file
                print"  --> BADs: " + str(opt_dict[fif_file]['bads'])
                if opt_dict[fif_file]['bads']:
                   raw, _ = jumeg_base.update_bad_channels(fif_file,raw=raw,bads=opt_dict[fif_file]['bads'])

       #--- merge eeg                                                     save=True, append=False, interpolate=True)
            if opt_dict[fif_file]['feeg']:
               feeg = str(opt_dict[fif_file]['feeg'])
               print "\n ===> Merge EEG data ->"
               print"  --> MEG: " + fif_file

               if opt.stage_eeg:
                   if os.path.isfile(opt.stage_eeg + '/' + feeg):
                      feeg= opt.stage_eeg + '/' + feeg
               if os.path.isfile(feeg):
                  print"  --> EEG: "  + feeg
                  raw,fif_file = jppd.apply_merge_meeg(fif_file,raw=raw,eeg_fname=feeg,save=True,do_run=opt.run,verbose=opt.verbose) #opt.run
               else:
                  print"!!! ERROR: no eeg file to merge with fif:"
                  print "  --> FIF : " + fif_file_raw
                  print "  --> EEG : " + feeg
                  assert" No EEG file to merge"

       #--- epocher search for events save to HDF
        if hasattr(tmp_pp_raw.epocher,"do_run"):
           if tmp_pp_raw.epocher.do_run :
              tmp_pp_raw.epocher['verbose'] = opt.verbose
              print"\n===> PP Info: start apply epocher => event code search" 
              print"File : " + fif_file
              if opt.verbose:
                 print"Parameter:"
                 print tmp_pp_raw.epocher
                 print"\n\n"
              (fname,raw,epocher_hdf_fname) = jppd.apply_epocher_events_data(fif_file,raw=raw,condition_list=opt.conditions, **tmp_pp_raw.epocher)
        else:
             jpp_utils.msg_on_attribute_error("raw epocher")         
    
       
    #--- noise_covariance
    #--- will search and find empty room file if fif is no empty room file 
        if hasattr(tmp_pp_raw.noise_covariance,"do_run"):
           if tmp_pp_raw.noise_covariance.do_run :
              tmp_pp_raw.noise_covariance['verbose'] = opt.verbose
              print"\n===> PP Info: start apply create noise_covariance" 
              print"File  :" + fif_file
              if opt.verbose:
                 print"Parameter:"
                 print tmp_pp_raw.noise_covariance
                 print"\n\n"
              fname_noise_covariance = jppd.apply_create_noise_covariance_data(fif_file,raw=raw,**tmp_pp_raw.noise_covariance)
              print"\n\n==> PP Info: done apply create noise_covariance :\n  ---> "
              try:
                  print fname_noise_covariance +"\n"
              except:
                  print " !!! not found !!!\n\n"
        else:
           jpp_utils.msg_on_attribute_error("raw noise covariance")
   

    #--- noise_reducer
    #--- will apply magic ee noise reducer7
        if hasattr(tmp_pp_raw.noise_reducer,"do_run"):
           if tmp_pp_raw.noise_reducer.do_run :
              tmp_pp_raw.noise_reducer['verbose'] = opt.verbose
              print"\n===> PP Info: start apply ee noise_reducer"
              print"File  :" + fif_file
              if opt.verbose:
                 print"Parameter:"
                 print tmp_pp_raw.noise_reducer
                 print"\n\n"

              (fif_file, raw) = jppd.apply_noise_reducer_data(fif_file,raw=raw,**tmp_pp_raw.noise_reducer)
              print"\n\n==> PP Info: done apply noise reducer raw\n  ---> " + fif_file
              print"RAW fname: "+raw.info['filename']
           else:
              fif_file = jumeg_base.get_fif_name(fname=fif_file,postfix=tmp_pp_raw.noise_reducer.fif_postfix,extention=tmp_pp_raw.noise_reducer.fif_extention)
              raw      = None
        else:
           jpp_utils.msg_on_attribute_error("raw noise reducer")
    
    # ToDo  if ( raw.info.fname == fname ) check if has to be loaded reloaded    
    #--- filter raw data   
        if hasattr(tmp_pp_raw.filter,"do_run"):
           if tmp_pp_raw.filter.do_run :
              tmp_pp_raw.filter['verbose'] = opt.verbose
              print"\n===> PP Info: start apply filter raw:"
              print"File  : " + fif_file
              if opt.verbose:
                 print"Parameter :"
                 print tmp_pp_raw.filter
                 print"\n\n"
              (fif_file, raw) = jppd.apply_filter_data(fif_file,raw=raw,**tmp_pp_raw.filter)
              print"\n\n==> PP Info: done apply filter raw\n  ---> " + fname
           else:
              fif_file = jumeg_base.get_fif_name(fname=fif_file,postfix=tmp_pp_raw.filter.fif_postfix,extention=tmp_pp_raw.filter.fif_extention) 
              raw   = None
        else:
           jpp_utils.msg_on_attribute_error("raw filter")
 
    # ToDo  if ( raw.info.fname == fname ) check if has to be reloaded    
    #--- ocarta
        if hasattr(tmp_pp_raw.ocarta,"do_run"):
           if tmp_pp_raw.ocarta.do_run :
              tmp_pp_raw.ocarta['verbose'] = opt.verbose
              print"\n===> PP Info: start apply ocarta fit"
              print"File  :" + fif_file
              if opt.verbose :
                 print"Parameter :" 
                 print tmp_pp_raw.ocarta
                 print"\n\n"

              (fif_file,raw,fhdf) = jppd.apply_ocarta_data(fif_file,raw=raw,**tmp_pp_raw.ocarta)
              print"\n\n==> PP Info: done apply ocarta\n  ---> " + fif_file
           else:
              fif_file = jumeg_base.get_fif_name(fname=fif_file,postfix=tmp_pp_raw.ocarta.fif_postfix,extention=tmp_pp_raw.ocarta.fif_extention)
              raw      = None
        else:
           jpp_utils.msg_on_attribute_error("raw ocarta")
  
  # ToDo  if ( raw.info.fname == fname ) check if has to be reloaded    
  #--- filter after ocarta    
        if hasattr(tmp_pp_raw.filter_after_ocarta,"do_run"):
           if tmp_pp_raw.filter_after_ocarta.do_run :
              tmp_pp_raw.filter_after_ocarta['verbose'] = opt.verbose
              print"\n===> PP Info: start apply filter after ocarta:"
              print"File  : " + fif_file
              if opt.verbose:
                 print"Parameter :"
                 print tmp_pp_raw.filter_after_ocarta
                 print"\n\n"
              (fif_file, raw) = jppd.apply_filter_data(fif_file,raw=raw,**tmp_pp_raw.filter_after_ocarta)
              print"\n\n==> PP Info: done apply filter after ocarta\n  ---> " + fname
           else:
              fif_file = jumeg_base.get_fif_name(fname=fif_file,postfix=tmp_pp_raw.filter_after_ocarta.fif_postfix,extention=tmp_pp_raw.filter_after_ocarta.fif_extention) 
              raw   = None
        else:
           jpp_utils.msg_on_attribute_error("filter after ocarta")
    
   # ToDo  if ( raw.info.fname == fname ) check if has to be reloaded    
   #--- events
        if hasattr(tmp_pp_raw.events,"do_run"):
           if tmp_pp_raw.events.do_run :
              tmp_pp_raw.events['verbose'] = opt.verbose
              print"\n===> PP Info: start apply event export"
              print"File  :" + fif_file
              if opt.verbose :
                 print"Parameter :" 
                 print tmp_pp_raw.events
                 print"\n\n"

              (fif_file,raw,event_ids) = jppd.apply_epocher_export_events_data(fif_file,raw=raw,condition_list=opt.conditions,**tmp_pp_raw.events)
              print"\n\n==> PP Info: done apply events\n  ---> " + fif_file
              print event_ids
              print"\n\n"
        else:
           jpp_utils.msg_on_attribute_error("raw events")      
  



    '''  
    # !!! under construction     
    
    #--- brainresponse obj short-cut
        tmp_pp_brs = TMP.experiment.data_preprocessing.brainresponse    

    # ToDo  if ( raw.info.fname == fname ) check if has to be reloaded    
    #--- brain response apply mne ica: fastica
        if hasattr(tmp_pp_brs.ica,"do_run"):
           if tmp_pp_brs.ica.do_run :
              tmp_pp_brs.ica['verbose'] = opt.verbose
              print "\n===> PP Info: start apply brain-response ica"
              print"File   : " + fif_file
              if opt.verbose: 
                 print"Parameter :" 
                 print tmp_pp_brs.ica
                 print"\n\n"

              (fif_file_ica,raw,ICAobj) = jppd.apply_ica_data(fif_file,raw=raw,**tmp_pp_brs.ica)

              print"\n\n==> PP Info: done apply ica for brain responses\n  ---> " + fif_file_ica
           else:
              fif_file_ica = jumeg_base.get_fif_name(fname=fif_file,postfix=tmp_pp_brs.ica.fif_postfix,extention=tmp_pp_brs.ica.fif_extention)
              raw           = None
        else:
           jpp_utils.msg_on_attribute_error("brain response ica")

            # 201195_Chrono01_110516_1413_1_c,rfDC,fihp1n,ocarta-ica.fif

    #--- brain response ctps 
    #--- run for all condition combine and or exclude CTPs-ICs for different conditions
        if hasattr(tmp_pp_brs.ctps,"do_run"):
           if tmp_pp_brs.ctps.do_run :
              tmp_pp_brs.ctps['verbose'] = opt.verbose
              print"\n===> PP Info: start brainresponse ica"
              print"File  : " + fif_file_ica
              if opt.verbose :
                 print"Parameters:" 
                 print tmp_pp_brs.ctps
                 print"\n\n"

              (fif_file,raw,fhdf)=jppd.apply_ctps_brain_responses_data(fif_file,raw=raw,fname_ica=fif_file_ica,ica_raw=None,
                                                                         condition_list=opt.condition,**tmp_pp_brs.ctps)

              print"\n\n==> PP Info: done apply ctp for brain responses\n  ---> " + fif_file
           else:
              fhdf = raw = None
        else:
           jpp_utils.msg_on_attribute_error("brain response ctps")
        
    #--- brain response ctps ica cleaning
    #--- run for global ics, all ctp-ics-condition  create raw,epochs,average
        if hasattr(tmp_pp_brs.clean,"do_run"):
           if tmp_pp_brs.clean.do_run :
              tmp_pp_brs.clean['verbose'] = opt.verbose

              print"\n===> PP Info: start brain-response cleaning"
              print"File  : " + fif_file
              if opt.verbose :
                 print"Parameters:"
                 print tmp_pp_brs.clean
                 print"\n\n"

              fhdf = jppd.apply_ctps_brain_responses_cleaning_data(fif_file,raw=raw,fname_ica=fif_file_ica,ica_raw=None,fhdf=fhdf,
                                                                   condition_list=opt.condition,**tmp_pp_brs.clean)
        else:
           jpp_utils.msg_on_attribute_error("brain response clean")

    '''
    print"===> Done JuMEG Pre-Processing Data"
    # print" --> FIF file input                : " + fif_file_raw
    # print" --> Information stored in HDF file: " + str(fhdf)
    print"\n\n"
    raw = None
Exemple #2
0
    if not do_run:
        print "===> Done jumeg preprocessing , set run flag for real data processing\n"
        usage()

#--- update base
    jumeg_base.verbose = verbose

    #--- init experiment template parameter
    jtmp_exp.template_name = experiment_name
    jtmp_exp.verbose = verbose

    #- read template parameters into dict
    tmp = jtmp_exp.template_update_file()

    #--- make obj from dict
    TMP = jtmp_exp.template_get_as_obj()
    path_exp = TMP.experiment.path.experiment

    if path_mne_stage is None:
        path_mne_stage = TMP.experiment.path.mne

    #--- get existing files from list
    # 005/MEG94T/121219_1311/1/005_MEG94T_121219_1311_1_c,rfDC-raw.fif -nc=A1
    # 007/MEG94T/121217_1239/1/007_MEG94T_121217_1239_1_c,rfDC-raw.fif -nc=A1,A2

    fn_raw_list = []
    fn_raw_bad_channel_dict = []

    if fname_list:
        fn_raw_list, fn_raw_bad_channel_dict = jumeg_base.get_filename_list_from_file(
            path_list + "/" + fname_list, start_path=path_mne_stage)
    if not do_run:
       print "===> Done jumeg preprocessing , set run flag for real data processing\n"
       usage()
 
#--- update base  
    jumeg_base.verbose = verbose
 
#--- init experiment template parameter
    jtmp_exp.template_name = experiment_name
    jtmp_exp.verbose       = verbose

    #- read template parameters into dict
    tmp = jtmp_exp.template_update_file()

    #--- make obj from dict 
    TMP      = jtmp_exp.template_get_as_obj()
    path_exp = TMP.experiment.path.experiment
       
    if path_mne_stage is None:
       path_mne_stage = TMP.experiment.path.mne 
       
    #--- get existing files from list
    # 005/MEG94T/121219_1311/1/005_MEG94T_121219_1311_1_c,rfDC-raw.fif -nc=A1
    # 007/MEG94T/121217_1239/1/007_MEG94T_121217_1239_1_c,rfDC-raw.fif -nc=A1,A2

    fn_raw_list=[]
    fn_raw_bad_channel_dict=[]

    if fname_list:
       fn_raw_list,fn_raw_bad_channel_dict = jumeg_base.get_filename_list_from_file(path_list + "/" + fname_list,start_path = path_mne_stage)
def main(argv):
#-- default argv
#    experiment_name = None
#    path_list       = os.getcwd()
#    fname_list      = None 
#    # fif_name        = None
#    pfif            = os.getcwd()
#    path_mne_stage  = None
#    bad_channels    = None
#    verbose, do_run = False,False
#    condition_list  = None 

    epocher_hdf_fname = None
    
 #--- get args from parser   
    opt,parser = jpp_utils.get_args()
  
#--- set debug & test mode
    if opt.debug :
       opt.experiment = 'TEST01'
       opt.stage      = '/localdata/frank/data/Chrono/mne'
       #path_list       = "/localdata/frank/data/Chrono/doc"
       #fname_list      = 'chrono_normal_inkomp.txt'
            
       opt.fifname    = '201195_Chrono01_110516_1413_1_c,rfDC-raw.fif' #'201195_test.fif'  #None
       opt.pathfif    = '201195/Chrono01/110516_1413/1'  #None
       opt.verbose    = True
       opt.run        = True     
       #condition_list  = ('LRst','LRrt')
#---   
    if opt.verbose :
           print"\n---> ARGV parameter:"
           print"experiment  : " + str(opt.experiment)
           print"condition   : " + str(opt.conditions)
           print"stage       : " + str(opt.stage)
           print"path to fif : " + str(opt.pathfif)
           print"fif name    : " + str(opt.fifname)
           print"path to list: " + str(opt.pathlist)
           print"fname list  : " + str(opt.fnamelist)
           print"verbose     : " + str(opt.verbose)
           print"run         : " + str(opt.run)
           print"debug mode  : " + str(opt.debug)
           print"\n\n"  

#--- update base  
    jumeg_base.verbose = opt.verbose
 
#--- init experiment template parameter
    jtmp_exp.template_name = opt.experiment
    jtmp_exp.verbose       = opt.verbose

    #- read template parameters into dict
    tmp = jtmp_exp.template_update_file()

    #--- make obj from dict 
    TMP      = jtmp_exp.template_get_as_obj()
    path_exp = TMP.experiment.path.experiment
       
    if opt.stage is None:
       opt.stage = TMP.experiment.path.mne 

#---
    if opt.verbose :
           print"\n---> Experiment Template parameter:"
           print" --> name         : "+ jtmp_exp.template_name
           print" --> template file: "+ jtmp_exp.template_full_file_name
           print"\n"
#---
    if not opt.run:
       print "===> Done jumeg preprocessing , set run flag for real data processing\n"
       print parser.print_help()
       print"\n"
       exit() 


    #--- get existing files from list
    # 005/MEG94T/121219_1311/1/005_MEG94T_121219_1311_1_c,rfDC-raw.fif -nc=A1
    # 007/MEG94T/121217_1239/1/007_MEG94T_121217_1239_1_c,rfDC-raw.fif -nc=A1,A2

    fn_raw_list=[]
    fn_raw_bad_channel_dict=[]

    if opt.fnamelist:
       fn_raw_list,fn_raw_bad_channel_dict = jumeg_base.get_filename_list_from_file(opt.pathlist + "/" + opt.fnamelist,start_path = opt.stage)

   #--- check & add fif file to list update bad channel dict
    if opt.fifname:
       if opt.pathfif :
          f = opt.pathfif +"/"+ opt.fifname
       else:
          f = opt.fifname
       if os.path.isfile(f):
          fn_raw_list.append(f)
          if opt.bads:  #--- bad channels
             fn_raw_bad_channel_dict[f]= opt.bads
       elif os.path.isfile(opt.stage + '/' + f):
          fn_raw_list.append(opt.stage + '/' + f)
          if opt.bads:
             fn_raw_bad_channel_dict[f]= opt.bads


   #--- raw obj short-cut
    tmp_pp_raw = TMP.experiment.data_preprocessing.raw

   #--- brainresponse obj short-cut
    tmp_pp_brs = TMP.experiment.data_preprocessing.brainresponse

   #--- loop preproc for each fif file
    for fif_file in (fn_raw_list) :
        raw = None  

    #--- check / set bad channels
        if ( fif_file in fn_raw_bad_channel_dict ):
           print "\n ===> BAD Channel -> " + fif_file
           print"  --> BADs: "  + str(fn_raw_bad_channel_dict[fif_file])
           if fn_raw_bad_channel_dict[fif_file]:
              raw,bads_dict = jumeg_base.update_bad_channels(fif_file,raw=raw,bads=fn_raw_bad_channel_dict[fif_file],save=True)


    #--- epocher search for events save to HDF     
        if tmp_pp_raw.epocher.do_run :
           tmp_pp_raw.epocher['verbose'] = opt.verbose
           print"\n===> PP Info: start apply epocher => event code search" 
           print"File : " + fif_file
           if opt.verbose:
              print"Parameter:"
              print tmp_pp_raw.epocher
              print"\n\n"
           (fname,raw,epocher_hdf_fname) = jppd.apply_epocher_events_data(fif_file,raw=raw,condition_list=opt.conditions, **tmp_pp_raw.epocher)

    #--- noise_covariance
    #--- will search and find empty room file if fif is no empty room file 
        if tmp_pp_raw.noise_covariance.do_run :
           tmp_pp_raw.noise_covariance['verbose'] = opt.verbose
           print"\n===> PP Info: start apply create noise_covariance" 
           print"File  :" + fif_file
           if opt.verbose:
              print"Parameter:"
              print tmp_pp_raw.noise_covariance
              print"\n\n"
           fname_noise_covariance = jppd.apply_create_noise_covariance_data(fif_file,raw=raw,**tmp_pp_raw.noise_covariance)

           print"\n\n==> PP Info: done apply create noise_covariance :\n  ---> "
           try:
               print fname_noise_covariance +"\n"
           except:
               print " !!! not found !!!\n\n"

    #--- noise_reducer
    #--- will apply magic ee noise reducer
        if tmp_pp_raw.noise_reducer.do_run :
           tmp_pp_raw.noise_reducer['verbose'] = opt.verbose
           print"\n===> PP Info: start apply ee noise_reducer"
           print"File  :" + fif_file
           if opt.verbose:
              print"Parameter:"
              print tmp_pp_raw.noise_reducer
              print"\n\n"

           (fif_file, raw) =  jppd.apply_noise_reducer_data(fif_file,raw=raw,**tmp_pp_raw.noise_reducer)
           print"\n\n==> PP Info: done apply noise reducer raw\n  ---> " + fname
        else:
          fif_file = jumeg_base.get_fif_name(fif_file,postfix=tmp_pp_raw.noise_reducer.fif_postfix,extention=tmp_pp_raw.noise_reducer.fif_extention)
          raw   = None

    #--- filter raw data   
        if tmp_pp_raw.filter.do_run :
           tmp_pp_raw.filter['verbose'] = opt.verbose
           print"\n===> PP Info: start apply filter raw:"
           print"File  : " + fif_file
           if opt.verbose:
              print"Parameter :"
              print tmp_pp_raw.filter
              print"\n\n"
           (fname, raw) = jppd.apply_filter_data(fif_file,raw=raw,**tmp_pp_raw.filter)
           print"\n\n==> PP Info: done apply filter raw\n  ---> " + fname
        else:
             fname = jumeg_base.get_fif_name(fif_file,postfix=tmp_pp_raw.filter.fif_postfix,extention=tmp_pp_raw.filter.fif_extention) 
             raw   = None

    #--- average raw filtered data
    #    if tmp_pp_raw.average.do_run :
    #       tmp_pp_raw.average.verbose = verbose
    #       print"\n===> PP Info: start apply averager raw"
    #       print"File  :" + fname
    #       if verbose:
    #          print"Parameter :"
    #          print tmp_pp_raw.average
    #          print"\n\n"
    #       jppd.apply_averager(fn_raw_list,**tmp_pp_raw.averager)
    #       print"\n\n==> PP Info: done apply averager filterd raw data\n"
           
    #--- ocarta
        if tmp_pp_raw.ocarta.do_run :
           tmp_pp_raw.ocarta['verbose'] = opt.verbose

           print"\n===> PP Info: start apply ocarta fit"
           print"File  :" + fname
           if opt.verbose :
              print"Parameter :" 
              print tmp_pp_raw.ocarta
              print"\n\n"

           (fname_oca,raw,fhdf) = jppd.apply_ocarta_data(fname,raw=raw,**tmp_pp_raw.ocarta)

           print"\n\n==> PP Info: done apply ocarta\n  ---> " + fname_oca
        else:
             fname_oca = jumeg_base.get_fif_name(fname,postfix=tmp_pp_raw.ocarta.fif_postfix,extention=tmp_pp_raw.ocarta.fif_extention)
             raw      = None

    #--- brain response apply mne ica: fastica
        if tmp_pp_brs.ica.do_run :
           tmp_pp_brs.ica['verbose'] = opt.verbose
           print "\n===> PP Info: start apply brain-response ica"
           print"File   : " + fname_oca
           if opt.verbose: 
              print"Parameter :" 
              print tmp_pp_brs.ica
              print"\n\n"

           (fname_oca_ica,raw,ICAobj) = jppd.apply_ica_data(fname_oca,raw=raw,**tmp_pp_brs.ica)

           print"\n\n==> PP Info: done apply ica for brain responses\n  ---> " + fname_oca_ica
        else:
             fname_oca_ica = jumeg_base.get_fif_name(fname_oca,postfix=tmp_pp_brs.ica.fif_postfix,extention=tmp_pp_brs.ica.fif_extention)
             raw           = None

            # 201195_Chrono01_110516_1413_1_c,rfDC,fihp1n,ocarta-ica.fif

    #--- brain response ctps 
    #--- run for all condition combine and or exclude CTPs-ICs for different conditions
        if tmp_pp_brs.ctps.do_run :
           tmp_pp_brs.ctps['verbose'] = opt.verbose

           print"\n===> PP Info: start brainresponse ica"
           print"File  : " + fname_oca_ica
           if opt.verbose :
              print"Parameters:" 
              print tmp_pp_brs.ctps
              print"\n\n"

           (fname_oca,raw,fhdf)=jppd.apply_ctps_brain_responses_data(fname_oca,raw=raw,fname_ica=fname_oca_ica,ica_raw=None,
                                                       condition_list=condition_list,**tmp_pp_brs.ctps)

           print"\n\n==> PP Info: done apply ctp for brain responses\n  ---> " + fname_oca

        else:
           fhdf = None
           raw  = None

    #--- brain response ctps ica cleaning
    #--- run for global ics, all ctp-ics-condition  create raw,epochs,average
        if tmp_pp_brs.clean.do_run :
           tmp_pp_brs.clean['verbose'] = opt.verbose

           print"\n===> PP Info: start brain-response cleaning"
           print"File  : " + fname_oca
           if opt.verbose :
              print"Parameters:"
              print tmp_pp_brs.clean
              print"\n\n"


           fhdf = jppd.apply_ctps_brain_responses_cleaning_data(fname_oca,raw=raw,fname_ica=fname_oca_ica,ica_raw=None,fhdf=fhdf,
                                                         condition_list=condition_list,**tmp_pp_brs.clean)




    print"===> Done JuMEG Pre-Processing Data"
    print" --> FIF file input                : " + fif_file
    print" --> Information stored in HDF file: " + str(fhdf)
    print"\n\n"
    raw = None
Exemple #5
0
def main(argv):

    epocher_hdf_fname = None

    #--- get args from parser
    opt, parser = jpp_utils.get_args()

    #--- set debug & test mode
    if opt.debug:
        opt.experiment = 'TEST01'
        opt.stage = '/localdata/frank/data/Chrono/mne'
        #path_list       = "/localdata/frank/data/Chrono/doc"
        #fname_list      = 'chrono_normal_inkomp.txt'

        opt.fifname = '201195_Chrono01_110516_1413_1_c,rfDC-raw.fif'  #'201195_test.fif'  #None
        opt.pathfif = '201195/Chrono01/110516_1413/1'  #None
        opt.verbose = True
        opt.run = True
        #condition_list  = ('LRst','LRrt')
#---
    if opt.verbose:
        print "\n---> ARGV parameter:"
        print "experiment  : " + str(opt.experiment)
        print "condition   : " + str(opt.conditions)
        print "stage       : " + str(opt.stage)
        print "path to fif : " + str(opt.pathfif)
        print "fif name    : " + str(opt.fifname)
        print "path to list: " + str(opt.pathlist)
        print "fname list  : " + str(opt.fnamelist)
        print "verbose     : " + str(opt.verbose)
        print "run         : " + str(opt.run)
        print "debug mode  : " + str(opt.debug)
        print "\n\n"

#--- update base
    jumeg_base.verbose = opt.verbose

    #--- init experiment template parameter
    jtmp_exp.template_name = opt.experiment
    jtmp_exp.verbose = opt.verbose

    #- read template parameters into dict
    tmp = jtmp_exp.template_update_file()

    #--- make obj from dict
    TMP = jtmp_exp.template_get_as_obj()
    path_exp = TMP.experiment.path.experiment

    if opt.stage is None:
        opt.stage = TMP.experiment.path.mne

#---
    if opt.verbose:
        print "\n---> Experiment Template parameter:"
        print " --> name         : " + jtmp_exp.template_name
        print " --> template file: " + jtmp_exp.template_full_file_name
        print "\n"
#---
    if not opt.run:
        print "===> Done jumeg preprocessing , set run flag for real data processing\n"
        print parser.print_help()
        print "\n"
        exit()

    #--- get existing files from list  e.g.
    # 005/MEG94T/121219_1311/1/005_MEG94T_121219_1311_1_c,rfDC-raw.fif -nc=A1
    # 007/MEG94T/121217_1239/1/007_MEG94T_121217_1239_1_c,rfDC-raw.fif -nc=A1,A2

    fn_raw_list = []
    fn_raw_bad_channel_dict = []

    if opt.fnamelist:
        fn_raw_list, fn_raw_bad_channel_dict = jumeg_base.get_filename_list_from_file(
            opt.pathlist + "/" + opt.fnamelist, start_path=opt.stage)

#--- check & add fif file to list update bad channel dict
    if opt.fifname:
        if opt.pathfif:
            f = opt.pathfif + "/" + opt.fifname
        else:
            f = opt.fifname
        if os.path.isfile(f):
            fn_raw_list.append(f)
            if opt.bads:  #--- bad channels
                fn_raw_bad_channel_dict[f] = opt.bads
        elif os.path.isfile(opt.stage + '/' + f):
            fn_raw_list.append(opt.stage + '/' + f)
            if opt.bads:
                fn_raw_bad_channel_dict[f] = opt.bads

#--- raw obj short-cut
    tmp_pp_raw = TMP.experiment.data_preprocessing.raw

    #--- brainresponse obj short-cut
    tmp_pp_brs = TMP.experiment.data_preprocessing.brainresponse

    #--- loop preproc for each fif file
    for fif_file in (fn_raw_list):
        raw = None
        fif_file_raw = fif_file

        #--- check / set bad channels
        if (fif_file in fn_raw_bad_channel_dict):
            print "\n ===> BAD Channel -> " + fif_file
            print "  --> BADs: " + str(fn_raw_bad_channel_dict[fif_file])
            if fn_raw_bad_channel_dict[fif_file]:
                raw, bads_dict = jumeg_base.update_bad_channels(
                    fif_file,
                    raw=raw,
                    bads=fn_raw_bad_channel_dict[fif_file],
                    save=True)

    #--- epocher search for events save to HDF
        if hasattr(tmp_pp_raw.epocher, "do_run"):
            if tmp_pp_raw.epocher.do_run:
                tmp_pp_raw.epocher['verbose'] = opt.verbose
                print "\n===> PP Info: start apply epocher => event code search"
                print "File : " + fif_file
                if opt.verbose:
                    print "Parameter:"
                    print tmp_pp_raw.epocher
                    print "\n\n"
                (fname, raw,
                 epocher_hdf_fname) = jppd.apply_epocher_events_data(
                     fif_file,
                     raw=raw,
                     condition_list=opt.conditions,
                     **tmp_pp_raw.epocher)
        else:
            jpp_utils.msg_on_attribute_error("raw epocher")

    #--- noise_covariance
    #--- will search and find empty room file if fif is no empty room file
        if hasattr(tmp_pp_raw.noise_covariance, "do_run"):
            if tmp_pp_raw.noise_covariance.do_run:
                tmp_pp_raw.noise_covariance['verbose'] = opt.verbose
                print "\n===> PP Info: start apply create noise_covariance"
                print "File  :" + fif_file
                if opt.verbose:
                    print "Parameter:"
                    print tmp_pp_raw.noise_covariance
                    print "\n\n"
                fname_noise_covariance = jppd.apply_create_noise_covariance_data(
                    fif_file, raw=raw, **tmp_pp_raw.noise_covariance)
                print "\n\n==> PP Info: done apply create noise_covariance :\n  ---> "
                try:
                    print fname_noise_covariance + "\n"
                except:
                    print " !!! not found !!!\n\n"
        else:
            jpp_utils.msg_on_attribute_error("raw noise covariance")

    #--- noise_reducer
    #--- will apply magic ee noise reducer7
        if hasattr(tmp_pp_raw.noise_reducer, "do_run"):
            if tmp_pp_raw.noise_reducer.do_run:
                tmp_pp_raw.noise_reducer['verbose'] = opt.verbose
                print "\n===> PP Info: start apply ee noise_reducer"
                print "File  :" + fif_file
                if opt.verbose:
                    print "Parameter:"
                    print tmp_pp_raw.noise_reducer
                    print "\n\n"

                (fif_file, raw) = jppd.apply_noise_reducer_data(
                    fif_file, raw=raw, **tmp_pp_raw.noise_reducer)
                print "\n\n==> PP Info: done apply noise reducer raw\n  ---> " + fif_file
                print "RAW fname: " + raw.info['filename']
            else:
                fif_file = jumeg_base.get_fif_name(
                    fname=fif_file,
                    postfix=tmp_pp_raw.noise_reducer.fif_postfix,
                    extention=tmp_pp_raw.noise_reducer.fif_extention)
                raw = None
        else:
            jpp_utils.msg_on_attribute_error("raw noise reducer")

    #--- filter raw data
        if hasattr(tmp_pp_raw.filter, "do_run"):
            if tmp_pp_raw.filter.do_run:
                tmp_pp_raw.filter['verbose'] = opt.verbose
                print "\n===> PP Info: start apply filter raw:"
                print "File  : " + fif_file
                if opt.verbose:
                    print "Parameter :"
                    print tmp_pp_raw.filter
                    print "\n\n"
                (fif_file, raw) = jppd.apply_filter_data(fif_file,
                                                         raw=raw,
                                                         **tmp_pp_raw.filter)
                print "\n\n==> PP Info: done apply filter raw\n  ---> " + fname
            else:
                fif_file = jumeg_base.get_fif_name(
                    fname=fif_file,
                    postfix=tmp_pp_raw.filter.fif_postfix,
                    extention=tmp_pp_raw.filter.fif_extention)
                raw = None
        else:
            jpp_utils.msg_on_attribute_error("raw filter")

    #--- average raw filtered data
    #    if tmp_pp_raw.average.do_run :
    #       tmp_pp_raw.average.verbose = verbose
    #       print"\n===> PP Info: start apply averager raw"
    #       print"File  :" + fname
    #       if verbose:
    #          print"Parameter :"
    #          print tmp_pp_raw.average
    #          print"\n\n"
    #       jppd.apply_averager(fn_raw_list,**tmp_pp_raw.averager)
    #       print"\n\n==> PP Info: done apply averager filterd raw data\n"

    #--- ocarta
        if hasattr(tmp_pp_raw.ocarta, "do_run"):
            if tmp_pp_raw.ocarta.do_run:
                tmp_pp_raw.ocarta['verbose'] = opt.verbose
                print "\n===> PP Info: start apply ocarta fit"
                print "File  :" + fif_file
                if opt.verbose:
                    print "Parameter :"
                    print tmp_pp_raw.ocarta
                    print "\n\n"

                (fif_file, raw,
                 fhdf) = jppd.apply_ocarta_data(fif_file,
                                                raw=raw,
                                                **tmp_pp_raw.ocarta)
                print "\n\n==> PP Info: done apply ocarta\n  ---> " + fif_file
            else:
                fif_file = jumeg_base.get_fif_name(
                    fname=fif_file,
                    postfix=tmp_pp_raw.ocarta.fif_postfix,
                    extention=tmp_pp_raw.ocarta.fif_extention)
                raw = None
        else:
            jpp_utils.msg_on_attribute_error("raw ocarta")

    #--- events
        if hasattr(tmp_pp_raw.events, "do_run"):
            if tmp_pp_raw.events.do_run:
                tmp_pp_raw.events['verbose'] = opt.verbose
                print "\n===> PP Info: start apply event export"
                print "File  :" + fif_file
                if opt.verbose:
                    print "Parameter :"
                    print tmp_pp_raw.events
                    print "\n\n"

                (fif_file, raw,
                 event_ids) = jppd.apply_epocher_export_events_data(
                     fif_file,
                     raw=raw,
                     condition_list=opt.conditions,
                     **tmp_pp_raw.events)
                print "\n\n==> PP Info: done apply events\n  ---> " + fif_file
                print event_ids
                print "\n\n"
        else:
            jpp_utils.msg_on_attribute_error("raw events")

    #--- brain response apply mne ica: fastica
        if hasattr(tmp_pp_brs.ica, "do_run"):
            if tmp_pp_brs.ica.do_run:
                tmp_pp_brs.ica['verbose'] = opt.verbose
                print "\n===> PP Info: start apply brain-response ica"
                print "File   : " + fif_file
                if opt.verbose:
                    print "Parameter :"
                    print tmp_pp_brs.ica
                    print "\n\n"

                (fif_file_ica, raw,
                 ICAobj) = jppd.apply_ica_data(fif_file,
                                               raw=raw,
                                               **tmp_pp_brs.ica)

                print "\n\n==> PP Info: done apply ica for brain responses\n  ---> " + fif_file_ica
            else:
                fif_file_ica = jumeg_base.get_fif_name(
                    fname=fif_file,
                    postfix=tmp_pp_brs.ica.fif_postfix,
                    extention=tmp_pp_brs.ica.fif_extention)
                raw = None
        else:
            jpp_utils.msg_on_attribute_error("brain response ica")

            # 201195_Chrono01_110516_1413_1_c,rfDC,fihp1n,ocarta-ica.fif

    #--- brain response ctps
    #--- run for all condition combine and or exclude CTPs-ICs for different conditions
        if hasattr(tmp_pp_brs.ctps, "do_run"):
            if tmp_pp_brs.ctps.do_run:
                tmp_pp_brs.ctps['verbose'] = opt.verbose
                print "\n===> PP Info: start brainresponse ica"
                print "File  : " + fif_file_ica
                if opt.verbose:
                    print "Parameters:"
                    print tmp_pp_brs.ctps
                    print "\n\n"

                (fif_file, raw, fhdf) = jppd.apply_ctps_brain_responses_data(
                    fif_file,
                    raw=raw,
                    fname_ica=fif_file_ica,
                    ica_raw=None,
                    condition_list=opt.condition,
                    **tmp_pp_brs.ctps)

                print "\n\n==> PP Info: done apply ctp for brain responses\n  ---> " + fif_file
            else:
                fhdf = raw = None
        else:
            jpp_utils.msg_on_attribute_error("brain response ctps")

    #--- brain response ctps ica cleaning
    #--- run for global ics, all ctp-ics-condition  create raw,epochs,average
        if hasattr(tmp_pp_brs.clean, "do_run"):
            if tmp_pp_brs.clean.do_run:
                tmp_pp_brs.clean['verbose'] = opt.verbose

                print "\n===> PP Info: start brain-response cleaning"
                print "File  : " + fif_file
                if opt.verbose:
                    print "Parameters:"
                    print tmp_pp_brs.clean
                    print "\n\n"

                fhdf = jppd.apply_ctps_brain_responses_cleaning_data(
                    fif_file,
                    raw=raw,
                    fname_ica=fif_file_ica,
                    ica_raw=None,
                    fhdf=fhdf,
                    condition_list=opt.condition,
                    **tmp_pp_brs.clean)
        else:
            jpp_utils.msg_on_attribute_error("brain response clean")

    print "===> Done JuMEG Pre-Processing Data"
    print " --> FIF file input                : " + fif_file_raw
    print " --> Information stored in HDF file: " + str(fhdf)
    print "\n\n"
    raw = None