Akvo/akvo/gui/akvoGUI.py

#/usr/bin/env python 
import sys
import readline
try: 
    from akvo.gui.main_ui import Ui_MainWindow
    uicerr = False
except: # Fallback 
    from akvo.gui.mainui import Ui_MainWindow
    uicerr = """
USING THE DEFAULT GUI FILES, AKVO MAY NOT WORK CORRECTLY!

See INSTALL.txt for details regarding GUI configuration 
if you are encountering problems.     

Clicking ignore will prevent this warning from showing 
each time you launch Akvo.                  
"""

import matplotlib
#matplotlib.use("QT4Agg")
from PyQt5 import QtCore, QtGui, QtWidgets

import numpy as np
import time
import os
from copy import deepcopy
from matplotlib.backends.backend_qt4 import NavigationToolbar2QT #as NavigationToolbar
import datetime, time


from akvo.tressel import mrsurvey 
import pkg_resources  # part of setuptools
version = pkg_resources.require("Akvo")[0].version

import yaml
# Writes out numpy arrays into Eigen vectors as serialized by Lemma
class MatrixXr(yaml.YAMLObject):
    yaml_tag = u'!MatrixXr'
    def __init__(self, name, hp, ac, attacks):
        self.name = name
        self.hp = hp
        self.ac = ac
        self.attacks = attacks
        def __repr__(self):
            return "%s(name=%r, hp=%r, ac=%r, attacks=%r)" % (self.__class__.__name__, self.name, self.hp, self.ac, self.attacks)

class VectorXr(yaml.YAMLObject):
    yaml_tag = r'VectorXr'
    def __init__(self, array):
        self.size = np.shape(array)[0]
        self.data = array.tolist()
    def __repr__(self):
        # Converts to numpy array on import 
        return "np.array(%r)" % (self.data)

class AkvoYamlNode(yaml.YAMLObject):
    yaml_tag = u'!AkvoData'
    def __init__(self):
        self.Akvo_VERSION = version
        self.Import = {}
        self.Processing = {}
        #self.data = {}
    # For going the other way, data import based on Yaml serialization, 
    def __repr__(self):
        return "%s(name=%r, Akvo_VESION=%r, Import=%r, Processing=%r)" % (
            self.__class__.__name__, self.Akvo_VERSION, self.Import, self.Processing) #self.name, self.hp, self.ac, self.attacks, self.thingy)
    
try:    
    import thread 
except ImportError:
    import _thread as thread  #Py3K compatibility 

class MyPopup(QtWidgets.QWidget):
    def __init__(self, name):
        super().__init__()
        self.name = name
        self.initUI()

    def initUI(self):
        lblName = QtWidgets.QLabel(self.name, self)

class ApplicationWindow(QtWidgets.QMainWindow):
    
    def __init__(self):
        
        QtWidgets.QMainWindow.__init__(self)
        self.setAttribute(QtCore.Qt.WA_DeleteOnClose)       
 
        akvohome = os.path.expanduser("~") + "/.akvo"
        if not os.path.exists(akvohome):
            os.makedirs(akvohome)

        self.ui = Ui_MainWindow()
        self.ui.setupUi(self)

        if uicerr != False and not os.path.exists(akvohome+"/pyuic-warned"):
            reply = QtGui.QMessageBox.warning(self, 'Warning', uicerr, QtGui.QMessageBox.Ok, QtGui.QMessageBox.Ignore) 
            if reply == 1024:      # "0x400" in hex
                pass
            elif reply == 1048576: # "0x100000" in hex
                warn = open( akvohome+"/pyuic-warned" ,"w" )
                warn.write("Gui files were not compiled locally using pyuic! Further warnings have been supressed")
                warn.close()
        self.RAWDataProc = None 

        self.YamlNode = AkvoYamlNode()           
 
        # initialise some stuff
        self.ui.lcdNumberTauPulse2.setEnabled(0)
        self.ui.lcdNumberTauPulse1.setEnabled(0)
        self.ui.lcdNumberNuTx.setEnabled(0)
        self.ui.lcdNumberTuneuF.setEnabled(0)
        self.ui.lcdNumberSampFreq.setEnabled(0)
        self.ui.lcdNumberTauDelay.setEnabled(0)
        self.ui.lcdNumberNQ.setEnabled(0)

        #MAK 20170126: add in a list to hold processing steps
        self.logText = []      

        ####################
        # Make connections #
        ####################

        # Menu items 
        self.ui.actionOpen_GMR.triggered.connect(self.openGMRRAWDataset)
        self.ui.actionSave_Preprocessed_Dataset.triggered.connect(self.SavePreprocess)
        self.ui.actionExport_Preprocessed_Dataset.triggered.connect(self.ExportPreprocess)
        self.ui.actionExport_Preprocessed_Dataset.setEnabled(False)
        self.ui.actionOpen_Preprocessed_Dataset.triggered.connect(self.OpenPreprocess)
        self.ui.actionAboutAkvo.triggered.connect(self.about)

        # Buttons
#         #QtCore.QObject.connect(self.ui.fullWorkflowPushButton, QtCore.SIGNAL("clicked()"), self.preprocess )
        self.ui.loadDataPushButton.pressed.connect(self.loadRAW) 
        self.ui.sumDataGO.pressed.connect( self.sumDataChans )
        self.ui.bandPassGO.pressed.connect( self.bandPassFilter )
        self.ui.filterDesignPushButton.pressed.connect( self.designFilter )
        self.ui.fdDesignPushButton.pressed.connect( self.designFDFilter )
        self.ui.downSampleGO.pressed.connect( self.downsample )
        self.ui.windowFilterGO.pressed.connect( self.windowFilter )
#        self.ui.despikeGO.pressed.connect( self.despikeFilter ) # use smart stack instead 
        self.ui.adaptGO.pressed.connect( self.adaptFilter )
        self.ui.adaptFDGO.pressed.connect( self.adaptFilterFD )
        self.ui.qdGO.pressed.connect( self.quadDet )
        self.ui.gateIntegrateGO.pressed.connect( self.gateIntegrate )
        self.ui.calcQGO.pressed.connect( self.calcQ )
        self.ui.FDSmartStackGO.pressed.connect( self.FDSmartStack )
        
        self.ui.plotQD.setEnabled(False) 
        self.ui.plotQD.pressed.connect( self.plotQD )
        
        self.ui.plotGI.setEnabled(False) 
        self.ui.plotGI.pressed.connect( self.plotGI )
 
        # Add progressbar to statusbar
        self.ui.barProgress =  QtWidgets.QProgressBar()
        self.ui.statusbar.addPermanentWidget(self.ui.barProgress, 0);
        self.ui.barProgress.setMaximumSize(100, 16777215);
        self.ui.barProgress.hide();        

        self.ui.mplwidget_navigator.setCanvas(self.ui.mplwidget)
        self.ui.mplwidget_navigator_2.setCanvas(self.ui.mplwidget_2)

        ##########################################################################
        # modelling Table 
        self.ui.loopTableWidget.setRowCount(40)       
        self.ui.loopTableWidget.setColumnCount(5)      
        self.ui.loopTableWidget.setHorizontalHeaderLabels( ["ch. tag", "Northing [m]","Easting [m]","Height [m]", "Radius"] )
        self.ui.loopTableWidget.cellChanged.connect(self.cellChanged) 

        self.ui.loopTableWidget.setDragDropOverwriteMode(False)
        self.ui.loopTableWidget.setDragEnabled(True)
        self.ui.loopTableWidget.setDragDropMode(QtWidgets.QAbstractItemView.InternalMove)
        
        ##########################################################################
        # layer Table 
        self.ui.layerTableWidget.setRowCount(80)       
        self.ui.layerTableWidget.setColumnCount(3)      
        self.ui.layerTableWidget.setHorizontalHeaderLabels( [r"top [m]", r"bottom [m]", "σ [ Ωm]" ] )


        self.ui.layerTableWidget.setDragDropOverwriteMode(False)
        self.ui.layerTableWidget.setDragEnabled(True)
        self.ui.layerTableWidget.setDragDropMode(QtWidgets.QAbstractItemView.InternalMove)
        
        pCell = QtWidgets.QTableWidgetItem()
        #pCell.setFlags(QtCore.Qt.ItemIsEnabled | QtCore.Qt.ItemIsSelectable)
        pCell.setFlags(QtCore.Qt.NoItemFlags) # not selectable 
        #pCell.setBackground( QtGui.QColor("lightblue").lighter(125) )
        pCell.setBackground( QtGui.QColor("lightgrey").lighter(110) )
        self.ui.layerTableWidget.setItem(0, 1, pCell)
        for ir in range(1, 80):
            for ic in range(0, 3):
                pCell = QtWidgets.QTableWidgetItem()
                #pCell.setFlags(QtCore.Qt.ItemIsEnabled | QtCore.Qt.ItemIsSelectable)
                pCell.setFlags(QtCore.Qt.NoItemFlags) # not selectable 
                pCell.setBackground( QtGui.QColor("lightgrey").lighter(110) )
                self.ui.layerTableWidget.setItem(ir, ic, pCell)
        self.ui.layerTableWidget.cellChanged.connect(self.sigmaCellChanged) 

    def sigmaCellChanged(self):
        self.ui.layerTableWidget.cellChanged.disconnect(self.sigmaCellChanged) 
        # TODO consider building the model whenever this is called. Would be nice to be able to 
        # do that. Would require instead dist of T2 I guess.
        jj = self.ui.layerTableWidget.currentColumn()
        ii = self.ui.layerTableWidget.currentRow()
        val = "class 'NoneType'>" 
        try:
            val = eval (str( self.ui.layerTableWidget.item(ii, jj).text() ))
        except:
            #if jj != 0:
            #    Error = QtWidgets.QMessageBox()
            #    Error.setWindowTitle("Error!")
            #    Error.setText("Non-numeric value encountered")
            self.ui.layerTableWidget.cellChanged.connect(self.sigmaCellChanged) 
            return
        if jj == 1:
            #item.setFlags(QtCore.Qt.ItemIsEnabled)
            pCell = self.ui.layerTableWidget.item(ii, jj)
            pCell.setBackground( QtGui.QColor("white"))
            
            pCell = self.ui.layerTableWidget.item(ii+1, jj-1)
            if str(type(pCell)) == "<class 'NoneType'>":  
                pCell = QtWidgets.QTableWidgetItem()
                pCell.setFlags(QtCore.Qt.ItemIsEnabled)
                self.ui.layerTableWidget.setItem(ii+1, jj-1, pCell)
            if ii == 0:
                pCell.setText(str(val))
                #pCell3 = self.ui.layerTableWidget.item(ii+1, jj)
                #print ("setting", ii, jj, type(pCell3))
                #print ( "setting", ii, jj, type(pCell3))
                #pCell3.setFlags( QtCore.Qt.ItemIsSelectable | QtCore.Qt.ItemIsEditable | QtCore.Qt.ItemIsEnabled )
                #pCell3.setFlags( QtCore.Qt.ItemIsEditable  )
            elif ii > 0:
                val2 = eval (str( self.ui.layerTableWidget.item(ii-1, jj).text() ))
                #print ("val2", val2, val, type(val))
                #if str(type(pCell)) == "<class 'NoneType'>":  
                if type(val) == str or val > val2:
                    pCell.setText(str(val))
                else:
                    Error = QtWidgets.QMessageBox()
                    Error.setWindowTitle("Error!")
                    Error.setText("Non-increasing layer detected")
                    Error.setDetailedText("Each layer interface must be below the one above it.")
                    Error.exec_()
            
                    pCell2 = self.ui.layerTableWidget.item(ii, jj)
                    pCell2.setText(str(""))
                    self.ui.layerTableWidget.cellChanged.connect(self.sigmaCellChanged) 
                    return

            print("I'm here joey")
            # enable next layer
            pCell4 = self.ui.layerTableWidget.item(ii+1, jj)
            pCell4.setBackground( QtGui.QColor("lightblue") ) #.lighter(110))
            pCell4.setFlags( QtCore.Qt.ItemIsSelectable | QtCore.Qt.ItemIsEditable | QtCore.Qt.ItemIsEnabled )
            
            pCell5 = self.ui.layerTableWidget.item(ii+1, jj+1)
            pCell5.setBackground( QtGui.QColor("white"))
            pCell5.setFlags( QtCore.Qt.ItemIsSelectable | QtCore.Qt.ItemIsEditable | QtCore.Qt.ItemIsEnabled )
            
        print("ii", ii, "jj", jj)
        if ii == 0 and jj == 0:
            pCell = self.ui.layerTableWidget.item(0, 1)
            pCell.setBackground( QtGui.QColor("lightblue")) #.lighter(110) )
            pCell.setFlags( QtCore.Qt.ItemIsSelectable | QtCore.Qt.ItemIsEditable | QtCore.Qt.ItemIsEnabled )

        self.ui.layerTableWidget.cellChanged.connect(self.sigmaCellChanged) 


    def cellChanged(self):
        # TODO consider building the model whenever this is called. Would be nice to be able to 
        # do that. Would require instead dist of T2 I guess. 
        jj = self.ui.loopTableWidget.currentColumn()
        ii = self.ui.loopTableWidget.currentRow()
            
        #if self.ui.loopTableWidget.item(ii, jj) == None:
        #    return

        try:
            eval (str( self.ui.loopTableWidget.item(ii, jj).text() ))
        except:
            if jj != 0:
                Error = QtWidgets.QMessageBox()
                Error.setWindowTitle("Error!")
                Error.setText("Non-numeric value encountered")
                Error.setDetailedText("Modelling parameters must be able to be cast into numeric values.")
                Error.exec_()
            
        self.plotLoops()

    def plotLoops(self):
               
        #self.ui.mplwidget_3.fig.clear() 
        self.ui.mplwidget_3.ax1.clear() 
        self.ui.mplwidget_3.ax2.clear()
        nor = dict()
        eas = dict()
        dep = dict() 
        for ii in range( self.ui.loopTableWidget.rowCount() ):
            for jj in range( self.ui.loopTableWidget.columnCount() ):
                tp = type(self.ui.loopTableWidget.item(ii, jj))
                if str(tp) == "<class 'NoneType'>":  # ugly hack needed by PySide for some strange reason.
                    pass #print ("NONE")
                else:
                    if jj == 0: 
                        idx = self.ui.loopTableWidget.item(ii, 0).text()
                        if idx not in nor.keys():
                            nor[idx] = list()
                            eas[idx] = list()
                            dep[idx] = list()
                    if jj == 1: 
                        nor[idx].append( eval(self.ui.loopTableWidget.item(ii, 1).text()) )
                    elif jj == 2:
                        eas[idx].append( eval(self.ui.loopTableWidget.item(ii, 2).text()) )
                    elif jj == 3:
                        dep[idx].append( eval(self.ui.loopTableWidget.item(ii, 3).text()) )

        for ii in nor.keys():            
            try:    
                self.ui.mplwidget_3.ax1.plot(  np.array(nor[ii]), np.array(eas[ii])  )
            except:
                pass 
        self.ui.mplwidget_3.draw()

    def about(self):
        # TODO proper popup with info
        #self.w = MyPopup("""About Akvo \n
        #    Akvo is an open source project developed primarily by Trevor Irons. 
        #""")
        #self.w.setGeometry(100, 100, 400, 200)
        #self.w.show()

        # Just a splash screen for now
        logo = pkg_resources.resource_filename(__name__, 'akvo_about.png')
        pixmap = QtGui.QPixmap(logo)
        self.splash = QtWidgets.QSplashScreen(pixmap, QtCore.Qt.WindowStaysOnTopHint)
        self.splash.show()

    def connectGMRDataProcessor(self):
        
        self.RAWDataProc = mrsurvey.GMRDataProcessor()
        self.RAWDataProc.progressTrigger.connect(self.updateProgressBar)
        self.RAWDataProc.enableDSPTrigger.connect(self.enableDSP)
        self.RAWDataProc.doneTrigger.connect(self.doneStatus)
        self.RAWDataProc.updateProcTrigger.connect(self.updateProc)

    def openGMRRAWDataset(self):

        try:
            with open('.gmr.last.path') as f: 
                fpath = f.readline()  
                pass
        except IOError as e:
            fpath = '.'

        self.headerstr = QtWidgets.QFileDialog.getOpenFileName(self, 'Open File', fpath)[0] # arg2 = File Type 'All Files (*)'
        self.ui.headerFileTextBrowser.clear()
        self.ui.headerFileTextBrowser.append(self.headerstr)
        
        if len(self.headerstr) == 0:
            return 
        
        # clear the processing log
        self.ui.logTextBrowser.clear()
        self.logText = []   #MAK 20170126

        path,filen=os.path.split(str(self.headerstr))

        f = open('.gmr.last.path', 'w')
        f.write( str(self.headerstr) ) # prompt last file      

        self.connectGMRDataProcessor()
        self.RAWDataProc.readHeaderFile(str(self.headerstr))

        # If we got this far, enable all the widgets
        self.ui.lcdNumberTauPulse1.setEnabled(True)
        self.ui.lcdNumberNuTx.setEnabled(True)
        self.ui.lcdNumberTuneuF.setEnabled(True)
        self.ui.lcdNumberSampFreq.setEnabled(True)
        self.ui.lcdNumberNQ.setEnabled(True)

        self.ui.headerFileBox.setEnabled(True)
        self.ui.inputRAWParametersBox.setEnabled(True)
        self.ui.loadDataPushButton.setEnabled(True)
         
        # make plots as you import the dataset
        self.ui.plotImportCheckBox.setEnabled(True)
        self.ui.plotImportCheckBox.setChecked(True)
 
        # Update info from the header into the GUI
        self.ui.pulseTypeTextBrowser.clear()
        self.ui.pulseTypeTextBrowser.append(self.RAWDataProc.pulseType)
        self.ui.lcdNumberNuTx.display(self.RAWDataProc.transFreq)
        self.ui.lcdNumberTauPulse1.display(1e3*self.RAWDataProc.pulseLength[0])
        self.ui.lcdNumberTuneuF.display(self.RAWDataProc.TuneCapacitance)
        self.ui.lcdNumberSampFreq.display(self.RAWDataProc.samp)
        self.ui.lcdNumberNQ.display(self.RAWDataProc.nPulseMoments)
        self.ui.DeadTimeSpinBox.setValue(1e3*self.RAWDataProc.deadTime)
        self.ui.CentralVSpinBox.setValue( self.RAWDataProc.transFreq )
       
        if self.RAWDataProc.pulseType != "FID":
            self.ui.lcdNumberTauPulse2.setEnabled(1)
            self.ui.lcdNumberTauPulse2.display(1e3*self.RAWDataProc.pulseLength[1])
            self.ui.lcdNumberTauDelay.setEnabled(1)
            self.ui.lcdNumberTauDelay.display(1e3*self.RAWDataProc.interpulseDelay)

        self.ui.FIDProcComboBox.clear() 
        if self.RAWDataProc.pulseType == "4PhaseT1":
            self.ui.FIDProcComboBox.insertItem(0, "Pulse 1") 
            self.ui.FIDProcComboBox.insertItem(1, "Pulse 2") 
            self.ui.FIDProcComboBox.insertItem(2, "Both")    
            self.ui.FIDProcComboBox.setCurrentIndex (1)
        elif self.RAWDataProc.pulseType == "FID":
            self.ui.FIDProcComboBox.insertItem(0, "Pulse 1") 
            self.ui.FIDProcComboBox.setCurrentIndex (0)
    
    def ExportPreprocess(self):

        try:
            with open('.akvo.last.yaml.path') as f: 
                fpath = f.readline()  
                pass
        except IOError as e:
            fpath = '.'
        
        fdir = os.path.dirname(fpath)
        # Pickle the preprocessed data dictionary 
        SaveStr = QtWidgets.QFileDialog.getSaveFileName(self, "Save as", fdir, r"Processed data (*.yaml)")[0]
        
        spath,filen=os.path.split(str(SaveStr))
        f = open('.akvo.last.yaml.path', 'w')
        f.write( str(spath) ) # prompt last file      

        INFO = {}
        INFO["headerstr"] = str(self.headerstr)
        INFO["pulseType"] = self.RAWDataProc.pulseType
        INFO["transFreq"] = self.RAWDataProc.transFreq.tolist()
        INFO["pulseLength"] = self.RAWDataProc.pulseLength.tolist()
        INFO["TuneCapacitance"] = self.RAWDataProc.TuneCapacitance.tolist()
        #INFO["samp"] = self.RAWDataProc.samp
        INFO["nPulseMoments"] = self.RAWDataProc.nPulseMoments
        #INFO["deadTime"] = self.RAWDataProc.deadTime
        INFO["transFreq"] = self.RAWDataProc.transFreq.tolist()
        INFO["processed"] = "Akvo v. 1.0, on " + time.strftime("%d/%m/%Y")
        #INFO["log"] = self.logText   #MAK 20170128 # TI moved to direct write, this is already YAML compliant 

        # Pulse current info
        ip = 0
        INFO["Pulses"] = {}
        for pulse in self.RAWDataProc.DATADICT["PULSES"]:
            qq = []
            qv = []
            for ipm in range(self.RAWDataProc.DATADICT["nPulseMoments"]):     
                #for istack in self.RAWDataProc.DATADICT["stacks"]:
                #    print ("stack q", self.RAWDataProc.DATADICT[pulse]["Q"][ipm,istack-1])
                qq.append(np.mean(    self.RAWDataProc.DATADICT[pulse]["Q"][ipm,:]) )
                qv.append(np.std(     self.RAWDataProc.DATADICT[pulse]["Q"][ipm,:]/self.RAWDataProc.pulseLength[ip] ))
            INFO["Pulses"][pulse] = {}
            INFO["Pulses"][pulse]["units"] = "A"
            INFO["Pulses"][pulse]["current"] = VectorXr(np.array(qq)/self.RAWDataProc.pulseLength[ip])
            INFO["Pulses"][pulse]["variance"] = VectorXr(np.array(qv))
            ip += 1

        # Data
        if self.RAWDataProc.gated == True:
            INFO["Gated"] = {}
            INFO["Gated"]["abscissa units"] = "ms"
            INFO["Gated"]["data units"] = "nT"
            for pulse in self.RAWDataProc.DATADICT["PULSES"]:
                INFO["Gated"][pulse] = {} 
                INFO["Gated"][pulse]["abscissa"] = VectorXr( self.RAWDataProc.GATEDABSCISSA ) 
                INFO["Gated"][pulse]["windows"] = VectorXr( self.RAWDataProc.GATEDWINDOW ) 
                for ichan in self.RAWDataProc.DATADICT[pulse]["chan"]:
                    INFO["Gated"][pulse]["Chan. " + str(ichan)] = {} 
                    INFO["Gated"][pulse]["Chan. " + str(ichan)]["STD"] =  VectorXr( np.std(self.RAWDataProc.GATED[ichan]["NR"], axis=0) )
                    for ipm in range(self.RAWDataProc.DATADICT["nPulseMoments"]):     
                        INFO["Gated"][pulse]["Chan. " + str(ichan)]["Q-"+str(ipm) + " CA"] = VectorXr(self.RAWDataProc.GATED[ichan]["CA"][ipm])   
                        INFO["Gated"][pulse]["Chan. " + str(ichan)]["Q-"+str(ipm) + " RE"] = VectorXr(self.RAWDataProc.GATED[ichan]["RE"][ipm])   
                        INFO["Gated"][pulse]["Chan. " + str(ichan)]["Q-"+str(ipm) + " IM"] = VectorXr(self.RAWDataProc.GATED[ichan]["IM"][ipm])   
                        #INFO["Gated"][pulse]["Chan. " + str(ichan)]["Q-"+str(ipm) + " IP"] = VectorXr(self.RAWDataProc.GATED[ichan]["IP"][ipm])   
                        #INFO["Gated"][pulse]["Chan. " + str(ichan)]["Q-"+str(ipm) + " NR"] = VectorXr(self.RAWDataProc.GATED[ichan]["NR"][ipm])   
                        #INFO["Gated"][pulse]["Chan. " + str(ichan)]["Q-"+str(ipm) + " STD" ] = VectorXr(self.RAWDataProc.GATED[ichan]["SIGMA"][ipm])   
            
            # we have gated data 
            # Window edges  
            # Window centres 

        with open(SaveStr, 'w') as outfile:
            for line in self.logText:
                outfile.write(line+"\n")
            yaml.dump(INFO, outfile, default_flow_style=False)   
 
    def SavePreprocess(self):
     
        if "Saved" not in self.YamlNode.Processing.keys():
            self.YamlNode.Processing["Saved"] = []
        self.YamlNode.Processing["Saved"].append(datetime.datetime.now().isoformat()) 
        self.Log()
 
        import pickle, os 
        try:
            with open('.akvo.last.path') as f: 
                fpath = f.readline()  
                pass
        except IOError as e:
            fpath = '.'
        
        fdir = os.path.dirname(fpath)
        # Pickle the preprocessed data dictionary 
        SaveStr = QtWidgets.QFileDialog.getSaveFileName(self, "Save as", fdir, r"Pickle (*.dmp)")
        print(SaveStr)
 
        spath,filen=os.path.split(str(SaveStr[0]))
        f = open('.akvo.last.path', 'w')
        f.write( str(spath) ) # prompt last file      
        save = open(SaveStr[0], 'wb')

        # Add some extra info 
        INFO = {}
        INFO["pulseType"] = self.RAWDataProc.pulseType
        INFO["transFreq"] = self.RAWDataProc.transFreq
        INFO["pulseLength"] = self.RAWDataProc.pulseLength
        INFO["TuneCapacitance"] = self.RAWDataProc.TuneCapacitance
        INFO["samp"] = self.RAWDataProc.samp
        INFO["nPulseMoments"] = self.RAWDataProc.nPulseMoments
        INFO["deadTime"] = self.RAWDataProc.deadTime
        INFO["transFreq"] = self.RAWDataProc.transFreq
        INFO["headerstr"] = str(self.headerstr)
        INFO["log"] = yaml.dump( self.YamlNode )  #self.logText  #MAK 20170127
        
        print ("YAML NODE", yaml.dump( self.YamlNode ) )
    
        self.RAWDataProc.DATADICT["INFO"] = INFO 

        pickle.dump(self.RAWDataProc.DATADICT, save)
        save.close()

    # Export XML file suitable for USGS ScienceBase Data Release
    def ExportXML(self):

        return 42

    def OpenPreprocess(self):
        import pickle

        try:
            with open('.akvo.last.path') as f: 
                fpath = f.readline()  
                pass
        except IOError as e:
            fpath = '.'
        
        #filename = QtWidgets.QFileDialog.getOpenFileName(self, 'Open File', '.')
        fpath = QtWidgets.QFileDialog.getOpenFileName(self, 'Open preprocessed file', fpath, r"Pickle Files (*.dmp)")[0]
        
        f = open('.akvo.last.path', 'w')
        f.write( str(fpath) ) # prompt last file      

        self.ui.logTextBrowser.clear()
        self.logText = []

        if len(fpath) == 0:
            return 
        
        pfile = open(fpath,'rb')        

        unpickle = pickle.Unpickler(pfile)
        self.connectGMRDataProcessor()
        self.RAWDataProc.DATADICT = unpickle.load()
        
        self.RAWDataProc.readHeaderFile(self.RAWDataProc.DATADICT["INFO"]["headerstr"])
        self.headerstr = self.RAWDataProc.DATADICT["INFO"]["headerstr"]
 
        self.RAWDataProc.pulseType = self.RAWDataProc.DATADICT["INFO"]["pulseType"] 
        self.RAWDataProc.transFreq = self.RAWDataProc.DATADICT["INFO"]["transFreq"] 
        self.RAWDataProc.pulseLength = self.RAWDataProc.DATADICT["INFO"]["pulseLength"] 
        self.RAWDataProc.TuneCapacitance = self.RAWDataProc.DATADICT["INFO"]["TuneCapacitance"] 
        self.RAWDataProc.samp = self.RAWDataProc.DATADICT["INFO"]["samp"] 
        self.RAWDataProc.nPulseMoments = self.RAWDataProc.DATADICT["INFO"]["nPulseMoments"] 
        self.RAWDataProc.deadTime = self.RAWDataProc.DATADICT["INFO"]["deadTime"] 
        self.RAWDataProc.transFreq = self.RAWDataProc.DATADICT["INFO"]["transFreq"]
        self.RAWDataProc.dt = 1./self.RAWDataProc.samp 

        self.dataChan = self.RAWDataProc.DATADICT[ self.RAWDataProc.DATADICT["PULSES"][0] ]["chan"]
        # Keep backwards compatibility with prior saved pickles???
        #self.ui.logTextBrowser.clear() 
            #self.ui.logTextBrowser.append( yaml.dump(self.YamlNode)) #, default_flow_style=False)  )
            #for a in self.logText:
            #    self.ui.logTextBrowser.append(str(a))
            #self.ui.logTextBrowser
            #self.ui.logTextBrowser.clear()
            #print ( self.RAWDataProc.DATADICT["INFO"]["log"] )
        
        self.logText = self.RAWDataProc.DATADICT["INFO"]["log"] # YAML 
        self.YamlNode = yaml.load( self.logText ) 
            #self.ui.logTextBrowser.append( yaml.dump(self.YamlNode)) #, default_flow_style=False)  )
        #except KeyError:
        #    pass
       
        if "Loaded" not in self.YamlNode.Processing.keys():
            self.YamlNode.Processing["Loaded"] = []
        self.YamlNode.Processing["Loaded"].append(datetime.datetime.now().isoformat()) 
        self.Log()
 
        # If we got this far, enable all the widgets
        self.ui.lcdNumberTauPulse1.setEnabled(True)
        self.ui.lcdNumberNuTx.setEnabled(True)
        self.ui.lcdNumberTuneuF.setEnabled(True)
        self.ui.lcdNumberSampFreq.setEnabled(True)
        self.ui.lcdNumberNQ.setEnabled(True)

        self.ui.headerFileBox.setEnabled(True)
        self.ui.inputRAWParametersBox.setEnabled(True)
        self.ui.loadDataPushButton.setEnabled(True)
        
        # make plots as you import the dataset
        self.ui.plotImportCheckBox.setEnabled(True)
        self.ui.plotImportCheckBox.setChecked(True)
 
        # Update info from the header into the GUI
        self.ui.pulseTypeTextBrowser.clear()
        self.ui.pulseTypeTextBrowser.append(self.RAWDataProc.pulseType)
        self.ui.lcdNumberNuTx.display(self.RAWDataProc.transFreq)
        self.ui.lcdNumberTauPulse1.display(1e3*self.RAWDataProc.pulseLength[0])
        self.ui.lcdNumberTuneuF.display(self.RAWDataProc.TuneCapacitance)
        self.ui.lcdNumberSampFreq.display(self.RAWDataProc.samp)
        self.ui.lcdNumberNQ.display(self.RAWDataProc.nPulseMoments)
        self.ui.DeadTimeSpinBox.setValue(1e3*self.RAWDataProc.deadTime)
        self.ui.CentralVSpinBox.setValue( self.RAWDataProc.transFreq )
       
        if self.RAWDataProc.pulseType != "FID":
            self.ui.lcdNumberTauPulse2.setEnabled(1)
            self.ui.lcdNumberTauPulse2.display(1e3*self.RAWDataProc.pulseLength[1])
            self.ui.lcdNumberTauDelay.setEnabled(1)
            self.ui.lcdNumberTauDelay.display(1e3*self.RAWDataProc.interpulseDelay)

        self.ui.FIDProcComboBox.clear() 
        if self.RAWDataProc.pulseType == "4PhaseT1":
            self.ui.FIDProcComboBox.insertItem(0, "Pulse 1") #, const QVariant & userData = QVariant() )
            self.ui.FIDProcComboBox.insertItem(1, "Pulse 2") #, const QVariant & userData = QVariant() )
            self.ui.FIDProcComboBox.insertItem(2, "Both")    #, const QVariant & userData = QVariant() )
            if len( self.RAWDataProc.DATADICT["PULSES"]) == 2:
                self.ui.FIDProcComboBox.setCurrentIndex (2)
            elif  self.RAWDataProc.DATADICT["PULSES"][0] == "Pulse 1":
                self.ui.FIDProcComboBox.setCurrentIndex (0)
            else:
                self.ui.FIDProcComboBox.setCurrentIndex (1)

        elif self.RAWDataProc.pulseType == "FID":
            self.ui.FIDProcComboBox.insertItem(0, "Pulse 1") #, const QVariant & userData = QVariant() )
            self.ui.FIDProcComboBox.setCurrentIndex (0)

#         QtCore.QObject.connect(self.RAWDataProc, QtCore.SIGNAL("updateProgress(int)"), self.updateProgressBar)
#         QtCore.QObject.connect(self.RAWDataProc, QtCore.SIGNAL("enableDSP()"), self.enableDSP)
#         QtCore.QObject.connect(self.RAWDataProc, QtCore.SIGNAL("doneStatus()"), self.doneStatus)
        self.RAWDataProc.progressTrigger.connect(self.updateProgressBar)
        self.RAWDataProc.enableDSPTrigger.connect(self.enableDSP)
        self.RAWDataProc.doneTrigger.connect(self.doneStatus)
        
        self.enableAll()
 
    def loadRAW(self):

        #################################################
        # Check to make sure we are ready to process

        # Header
        if self.RAWDataProc == None:
            err_msg = "You need to load a header first."
            reply = QtGui.QMessageBox.critical(self, 'Error', 
                err_msg) #, QtGui.QMessageBox.Yes, QtGui.QMessageBox.No)
            return
        
        # Stacks 
        try:
            self.procStacks = np.array(eval(str("np.r_["+self.ui.stacksLineEdit.text())+"]"))
        except:
            err_msg = "You need to set your stacks correctly.\n" + \
                      "This should be a Python Numpy interpretable list\n" + \
                      "of stack indices. For example 1:24 or 1:4,8:24"
            QtGui.QMessageBox.critical(self, 'Error', err_msg) 
            return

        # Data Channels
        #Chan = np.arange(0,9,1)
        try:
            self.dataChan = np.array(eval(str("np.r_["+self.ui.dataChanLineEdit.text())+"]"))
        except:
            #QMessageBox messageBox;
            #messageBox.critical(0,"Error","An error has occured !");
            #messageBox.setFixedSize(500,200);
            #quit_msg = "Are you sure you want to exit the program?"
            #reply = QtGui.QMessageBox.question(self, 'Message', 
            #    quit_msg, QtGui.QMessageBox.Yes, QtGui.QMessageBox.No)
            err_msg = "You need to set your data channels correctly.\n" + \
                      "This should be a Python Numpy interpretable list\n" + \
                      "of indices. For example 1 or 1:3 or 1:3 5\n\n" + \
                      "valid GMR data channels fall between 1 and 8. Note that\n" +\
                      "1:3 is not inclusive of 3 and is the same as 1,2 "
            reply = QtGui.QMessageBox.critical(self, 'Error', 
                err_msg) #, QtGui.QMessageBox.Yes, QtGui.QMessageBox.No)
            return
        #############################
        # Reference Channels
        # TODO make sure no overlap between data and ref channels
        self.refChan = np.array( () )
        if str(self.ui.refChanLineEdit.text()): # != "none":
            try:
                self.refChan = np.array(eval(str("np.r_["+self.ui.refChanLineEdit.text())+"]"))
            except:
                err_msg = "You need to set your reference channels correctly.\n" + \
                      "This should be a Python Numpy interpretable list\n" + \
                      "of indices. For example 1 or 1:3 or 1:3 5\n\n" + \
                      "valid GMR data channels fall between 1 and 8. Note that\n" +\
                      "1:3 is not inclusive of 3 and is the same as 1,2 "
                QtGui.QMessageBox.critical(self, 'Error', err_msg) 
                return

        #####################################################
        # Load data

        self.lock("loading RAW GMR dataset")

        if self.RAWDataProc.pulseType == "FID":
            self.procThread = thread.start_new_thread(self.RAWDataProc.loadFIDData, \
                (str(self.headerstr), self.procStacks, self.dataChan, self.refChan, \
                 str(self.ui.FIDProcComboBox.currentText()), self.ui.mplwidget, \
                1e-3 * self.ui.DeadTimeSpinBox.value( ), self.ui.plotImportCheckBox.isChecked() )) #, self)) 
            
        elif self.RAWDataProc.pulseType == "4PhaseT1":
            self.procThread = thread.start_new_thread(self.RAWDataProc.load4PhaseT1Data, \
                (str(self.headerstr), self.procStacks, self.dataChan, self.refChan, \
                 str(self.ui.FIDProcComboBox.currentText()), self.ui.mplwidget, \
                1e-3 * self.ui.DeadTimeSpinBox.value( ), self.ui.plotImportCheckBox.isChecked() )) #, self)) 

        self.YamlNode.Import["GMR Header"] = self.headerstr
        self.YamlNode.Import["opened"] = datetime.datetime.now().isoformat() 
        self.YamlNode.Import["pulse Type"] = str(self.RAWDataProc.pulseType) 
        self.YamlNode.Import["stacks"] = self.procStacks.tolist() 
        self.YamlNode.Import["data channels"] = self.dataChan.tolist()  
        self.YamlNode.Import["reference channels"] = self.refChan.tolist() 
        self.YamlNode.Import["pulse records"] = str(self.ui.FIDProcComboBox.currentText())  
        self.YamlNode.Import["instrument dead time"] = (1e-3 * self.ui.DeadTimeSpinBox.value( ))    

        self.Log (  )     

        # should be already done
#        QtCore.QObject.connect(self.RAWDataProc, QtCore.SIGNAL("updateProgress(int)"), self.updateProgressBar)
#        QtCore.QObject.connect(self.RAWDataProc, QtCore.SIGNAL("enableDSP()"), self.enableDSP)
#        QtCore.QObject.connect(self.RAWDataProc, QtCore.SIGNAL("doneStatus()"), self.doneStatus)

        self.ui.ProcessedBox.setEnabled(True)
        self.ui.lcdNumberFID1Length.setEnabled(1)
        self.ui.lcdNumberFID2Length.setEnabled(1)
        self.ui.lcdNumberResampFreq.setEnabled(1)
        self.ui.lcdTotalDeadTime.setEnabled(1)

        self.ui.lcdTotalDeadTime.display( self.ui.DeadTimeSpinBox.value( ) )
        
        #self.ui.lcdNumberFID1Length.display(0)
        #self.ui.lcdNumberFID2Length.display(0)
        #self.ui.lcdNumberResampFreq.display( self.RAWDataProc.samp )
 
        self.mpl_toolbar = NavigationToolbar2QT(self.ui.mplwidget, self.ui.mplwidget)
        self.ui.mplwidget.draw()

    def Log(self):
        #for line in yaml.dump(self.YamlNode, default_flow_style=False):
        #for line in nlogText: 
        #    self.ui.logTextBrowser.append( line )
        #    self.logText.append( line ) 
            
        self.ui.logTextBrowser.clear() 
        self.ui.logTextBrowser.append( yaml.dump(self.YamlNode)) #, default_flow_style=False)  )

    def disable(self):
        self.ui.BandPassBox.setEnabled(False)
        self.ui.downSampleGroupBox.setEnabled(False)
        self.ui.windowFilterGroupBox.setEnabled(False)
#        self.ui.despikeGroupBox.setEnabled(False)
        self.ui.adaptBox.setEnabled(False)
        self.ui.adaptFDBox.setEnabled(False)
        self.ui.qCalcGroupBox.setEnabled(False)    
        self.ui.FDSmartStackGroupBox.setEnabled(False)    
        self.ui.sumDataBox.setEnabled(False)    
        self.ui.qdGroupBox.setEnabled(False)
        self.ui.gateBox.setEnabled(False)

    def enableAll(self):
        self.enableDSP()
        self.enableQC()

    def enableDSP(self):

        # Bandpass filter
        self.ui.BandPassBox.setEnabled(True)
        self.ui.BandPassBox.setChecked(True)
        self.ui.bandPassGO.setEnabled(False) # need to design first
        self.ui.plotBP.setEnabled(True)
        self.ui.plotBP.setChecked(True)

        # downsample 
        self.ui.downSampleGroupBox.setEnabled(True)
        self.ui.downSampleGroupBox.setChecked(True)
       
        # window
        self.ui.windowFilterGroupBox.setEnabled(True)
        self.ui.windowFilterGroupBox.setChecked(True)
 
        # Despike
#        self.ui.despikeGroupBox.setEnabled(True)
#        self.ui.despikeGroupBox.setChecked(False)

        # Adaptive filtering 
        self.ui.adaptBox.setEnabled(True)
        self.ui.adaptBox.setChecked(True)
        
        # FD Adaptive filtering 
        self.ui.adaptFDBox.setEnabled(True)
        self.ui.adaptFDBox.setChecked(True)

        # sum group box
        try:
            if len(self.dataChan) > 1:
                self.ui.sumDataBox.setEnabled(True)
                self.ui.sumDataBox.setChecked(True)
        except:
            pass

        # Quadrature Detect
        self.ui.qdGroupBox.setEnabled(True)
        self.ui.qdGroupBox.setChecked(True)

        self.enableQC() 

    def enableQC(self):
        
        # Q calc
        self.ui.qCalcGroupBox.setEnabled(True)    
        self.ui.qCalcGroupBox.setChecked(True)    

        # FD SmartStack
        self.ui.FDSmartStackGroupBox.setEnabled(True)    
        self.ui.FDSmartStackGroupBox.setChecked(True)    
        
        # Quadrature detect
        try:
            for pulse in self.RAWDataProc.DATADICT["PULSES"]: 
                np.shape(self.RAWDataProc.DATADICT[pulse]["Q"])
            self.RAWDataProc.DATADICT["stack"] 
            self.ui.qdGroupBox.setEnabled(True)   
            self.ui.qdGroupBox.setChecked(True)    
        except:
            self.ui.qdGroupBox.setEnabled(False)    
            self.ui.qdGroupBox.setChecked(False)    
        
        # Gating
        try:
            self.RAWDataProc.DATADICT["CA"] 
            self.ui.gateBox.setEnabled(True)
            self.ui.gateBox.setChecked(True)
        except:
            self.ui.gateBox.setEnabled(False)
            self.ui.gateBox.setChecked(False)

    def despikeFilter(self):
        self.lock("despike filter")
        thread.start_new_thread(self.RAWDataProc.despike, \
                (self.ui.windowSpinBox.value(), \
                self.ui.thresholdSpinBox.value(), \
                str(self.ui.replComboBox.currentText()), \
                self.ui.rollOnSpinBox.value(), \
                self.ui.despikeInterpWinSpinBox.value(),
                self.ui.mplwidget))

    def calcQ(self):
        self.lock("pulse moment calculation")
        thread.start_new_thread(self.RAWDataProc.effectivePulseMoment, \
                (self.ui.CentralVSpinBox.value(), \
                self.ui.mplwidget_2))

    def FDSmartStack(self):
        
        self.lock("time-domain smart stack")
        nlogText = []
        nlogText.append("TD_stack: ") 
        nlogText.append("  outlier: " + str( self.ui.outlierTestCB.currentText() ) ) 
        nlogText.append("  cutoff: " + str( self.ui.MADCutoff.value()  ) ) 
        self.Log(nlogText)
        
        thread.start_new_thread(self.RAWDataProc.TDSmartStack, \
                (str(self.ui.outlierTestCB.currentText()), \
                self.ui.MADCutoff.value(),
                self.ui.mplwidget_2))

    def adaptFilter(self):
        self.lock("TD noise cancellation filter")
        nlogText = []
        nlogText.append("TD_noise_cancellation: ") 
        nlogText.append("  n_Taps: " + str(self.ui.MTapsSpinBox.value()) ) 
        nlogText.append("  lambda: " + str(self.ui.adaptLambdaSpinBox.value()) ) 
        nlogText.append("  truncate: " + str(self.ui.adaptTruncateSpinBox.value()) ) 
        nlogText.append("  mu: " + str(self.ui.adaptMuSpinBox.value()) ) 
        nlogText.append("  PCA: " + str(self.ui.PCAComboBox.currentText()) ) 
        self.Log(nlogText)
        thread.start_new_thread(self.RAWDataProc.adaptiveFilter, \
                (self.ui.MTapsSpinBox.value(), \
                self.ui.adaptLambdaSpinBox.value(), \
                self.ui.adaptTruncateSpinBox.value(), \
                self.ui.adaptMuSpinBox.value(), \
                str(self.ui.PCAComboBox.currentText()), \
                self.ui.mplwidget))

    def sumDataChans(self): 
        self.lock("Summing data channels")
        nlogText = []
        nlogText.append("Data_sum: ") 
        nlogText.append( "  summed_channel: " +  str(self.dataChan[0]) ) 
        self.Log(nlogText)
        self.dataChan = [self.dataChan[0]]
        self.ui.sumDataBox.setEnabled(False)    
        thread.start_new_thread( self.RAWDataProc.sumData, ( self.ui.mplwidget, 7 ) )
 
    def adaptFilterFD(self):
        self.lock("FD noise cancellation filter")
        thread.start_new_thread(self.RAWDataProc.adaptiveFilterFD, \
                (str(self.ui.windowTypeComboBox.currentText()), \
                self.ui.windowBandwidthSpinBox.value(), \
                self.ui.CentralVSpinBox.value(), \
                self.ui.mplwidget))

    def bandPassFilter(self):
        self.lock("bandpass filter")
        nlogText = []
        nlogText.append("bandpass_filter: ") 
        nlogText.append("  central_nu: "+str(self.ui.CentralVSpinBox.value()))
        nlogText.append("  passband: "+str(self.ui.passBandSpinBox.value()) )
        nlogText.append("  stopband: "+str(self.ui.stopBandSpinBox.value()) )
        nlogText.append("  gpass: "+str(self.ui.gpassSpinBox.value()) )
        nlogText.append("  gstop: "+str(self.ui.gstopSpinBox.value()) )
        nlogText.append("  type: "+str(self.ui.fTypeComboBox.currentText()) )
        self.Log(nlogText) 
        
        nv = self.ui.lcdTotalDeadTime.value( ) + self.ui.lcdNumberFTauDead.value()
        self.ui.lcdTotalDeadTime.display( nv )
        thread.start_new_thread(self.RAWDataProc.bandpassFilter, \
                (self.ui.mplwidget, 0, self.ui.plotBP.isChecked() ))

    def downsample(self):
        self.lock("resampling")
        nlogText = list(['Resample: '])
        nlogText.append("  downsample_factor: " + str(self.ui.downSampleSpinBox.value() ) )
        nlogText.append("  truncate_length: " + str( self.ui.truncateSpinBox.value() ) )
        self.Log(nlogText)
        thread.start_new_thread(self.RAWDataProc.downsample, \
                (self.ui.truncateSpinBox.value(), \
                self.ui.downSampleSpinBox.value(),
                self.ui.mplwidget))

    def quadDet(self):
        self.lock("quadrature detection")
        nlogText = []
        nlogText.append("quadrature_detection: ") 
        nlogText.append("  trim: " + str( self.ui.trimSpin.value() )) 
        #nlogText.append("  representation:" + str(  self.ui.QDType.currentText() )) 
        self.Log(nlogText)

        thread.start_new_thread(self.RAWDataProc.quadDet, \
                (self.ui.trimSpin.value(), int(self.ui.QDType.currentIndex()), self.ui.mplwidget_2))

        self.ui.plotQD.setEnabled(True)
    
    def plotQD(self):
        self.lock("plot QD")

        thread.start_new_thread(self.RAWDataProc.plotQuadDet, \
                (self.ui.trimSpin.value(), int(self.ui.QDType.currentIndex()), self.ui.mplwidget_2))


    def gateIntegrate(self):
        self.lock("gate integration")
        nlogText = []
        nlogText.append("gate_integrate: ") 
        nlogText.append("  gpd: " + str(self.ui.GPDspinBox.value( ) )) 
        self.Log(nlogText)
 
        thread.start_new_thread(self.RAWDataProc.gateIntegrate, \
                (self.ui.GPDspinBox.value(), self.ui.trimSpin.value(), self.ui.mplwidget_2))
        
        self.ui.actionExport_Preprocessed_Dataset.setEnabled(True)
        self.ui.plotGI.setEnabled(True)

    def plotGI(self):
        self.lock("plot gate integrate")
        thread.start_new_thread(self.RAWDataProc.plotGateIntegrate, \
                (self.ui.GPDspinBox.value(), self.ui.trimSpin.value(), \
                self.ui.QDType_2.currentIndex(),  self.ui.mplwidget_2))
 
    def designFilter(self):
        [bord, fe] = self.RAWDataProc.designFilter( \
                self.ui.CentralVSpinBox.value(), \
                self.ui.passBandSpinBox.value(), \
                self.ui.stopBandSpinBox.value(), \
                self.ui.gpassSpinBox.value(), \
                self.ui.gstopSpinBox.value(), \
                str(self.ui.fTypeComboBox.currentText()),
                self.ui.mplwidget)
        self.ui.lcdNumberFilterOrder.display(bord)
        self.ui.lcdNumberFTauDead.display(1e3*fe)
        #self.ui.lcdNumberFilterOrder.display(bord)
        self.ui.bandPassGO.setEnabled(1)
        #   self.ui.lcdNumberTauPulse2.display(1e3*self.RAWDataProc.pulseLength[1])
    
    def windowFilter(self):
        self.lock("window filter")
        nlogText = []
        nlogText.append("FD_window: ") 
        nlogText.append("  type: " + str(self.ui.windowTypeComboBox.currentText()) )
        nlogText.append("  width: " + str(self.ui.windowBandwidthSpinBox.value()) )  
        nlogText.append("  centre: " + str(self.ui.CentralVSpinBox.value() ))
        self.Log(nlogText)
        thread.start_new_thread(self.RAWDataProc.windowFilter, \
                (str(self.ui.windowTypeComboBox.currentText()), \
                self.ui.windowBandwidthSpinBox.value(), \
                self.ui.CentralVSpinBox.value(), \
                self.ui.mplwidget))

    def designFDFilter(self):
#         thread.start_new_thread(self.RAWDataProc.computeWindow, ( \
#                 "Pulse 1",
#                 self.ui.windowBandwidthSpinBox.value(), \
#                 self.ui.CentralVSpinBox.value(), \
#                 str(self.ui.windowTypeComboBox.currentText()), \
#                 self.ui.mplwidget ))
        a,b,c,d,dead = self.RAWDataProc.computeWindow( \
                "Pulse 1",
                self.ui.windowBandwidthSpinBox.value(), \
                self.ui.CentralVSpinBox.value(), \
                str(self.ui.windowTypeComboBox.currentText()), \
                self.ui.mplwidget )

        self.ui.lcdWinDead.display(dead)

    def updateProgressBar(self, percent):
        self.ui.barProgress.setValue(percent)

    def updateProc(self):
        if   str(self.ui.FIDProcComboBox.currentText()) == "Pulse 1":
            self.ui.lcdNumberFID1Length.display(self.RAWDataProc.DATADICT["Pulse 1"]["TIMES"][-1]- self.RAWDataProc.DATADICT["Pulse 1"]["TIMES"][0])
        elif str(self.ui.FIDProcComboBox.currentText()) == "Pulse 2":
            self.ui.lcdNumberFID2Length.display(self.RAWDataProc.DATADICT["Pulse 2"]["TIMES"][-1]- self.RAWDataProc.DATADICT["Pulse 2"]["TIMES"][0])
        else:
            self.ui.lcdNumberFID1Length.display(self.RAWDataProc.DATADICT["Pulse 1"]["TIMES"][-1]- self.RAWDataProc.DATADICT["Pulse 1"]["TIMES"][0])
            self.ui.lcdNumberFID2Length.display(self.RAWDataProc.DATADICT["Pulse 2"]["TIMES"][-1]- self.RAWDataProc.DATADICT["Pulse 2"]["TIMES"][0])
        self.ui.lcdNumberResampFreq.display( self.RAWDataProc.samp )
    
    def doneStatus(self): # unlocks GUI
        self.ui.statusbar.clearMessage ( )
        self.ui.barProgress.hide()
        self.updateProc()       
        self.enableAll()

    def lock(self, string):
        self.ui.statusbar.showMessage ( string )
        self.ui.barProgress.show()
        self.ui.barProgress.setValue(0)
        self.disable()

    def unlock(self):
        self.ui.statusbar.clearMessage ( )
        self.ui.barProgress.hide()
        self.enableAll()

    def done(self):
        self.ui.statusbar.showMessage ( "" )


################################################################
################################################################

# Boiler plate main function
import pkg_resources
from pkg_resources import resource_string
import matplotlib.image as mpimg 
import matplotlib.pyplot as plt 


def main():
    
    # splash screen logo 
    logo = pkg_resources.resource_filename(__name__, 'akvo.png')
    logo2 = pkg_resources.resource_filename(__name__, 'akvo2.png')
    qApp = QtWidgets.QApplication(sys.argv)

    ssplash = False
    if ssplash:
        pixmap = QtGui.QPixmap(logo)
        splash = QtWidgets.QSplashScreen(pixmap, QtCore.Qt.WindowStaysOnTopHint)
        splash.show()
    
    aw = ApplicationWindow()

    img=mpimg.imread(logo)
    for ax in [ aw.ui.mplwidget ]: 
        ax.fig.clear()
        subplot = ax.fig.add_subplot(111)
        ax.fig.patch.set_facecolor( None )
        ax.fig.patch.set_alpha( .0 )
        subplot.imshow(img) 
        subplot.xaxis.set_major_locator(plt.NullLocator()) 
        subplot.yaxis.set_major_locator(plt.NullLocator()) 
        ax.draw()

    if ssplash:
        splash.showMessage("Loading modules")
        splash.finish(aw)
        #time.sleep(1) 

    aw.setWindowTitle("Akvo v"+str(version)) 
    aw.show()
    qApp.setWindowIcon(QtGui.QIcon(logo2))
    sys.exit(qApp.exec_())

if __name__ == "__main__":
    main()