Added harmonics to yaml log

akvo/gui/akvoGUI.py

                 self.ui.mplwidget))
 
     def harmonicModel(self):
+
+
+        if "Harmonic modelling" not in self.YamlNode.Processing.keys():
+            self.YamlNode.Processing["Harmonic modelling"] = {}
+            self.YamlNode.Processing["Harmonic modelling"]["NF"] = str( self.ui.NHarmonicsFreqsSpin.value() ) 
+            self.YamlNode.Processing["Harmonic modelling"]["Nk"] = str( self.ui.NKHarmonicsSpin.value() )
+            self.YamlNode.Processing["Harmonic modelling"]["f0"] = str( self.ui.f0Spin.value() )
+            self.YamlNode.Processing["Harmonic modelling"]["f1"] = str( self.ui.f1Spin.value() )
+            self.YamlNode.Processing["Harmonic modelling"]["Segments"] = str( 1 ) # Future 
+            self.Log()
+        else:
+            err_msg = "Harmonic modelling noise cancellation has already been applied!"
+            reply =QtWidgets.QMessageBox.critical(self, 'Error', 
+                err_msg) 
+            return 
+
         self.lock("harmonic noise modelling")
+
         thread.start_new_thread(self.RAWDataProc.harmonicModel, \
                 ( \
                  self.ui.NHarmonicsFreqsSpin.value(), \
             reply =QtWidgets.QMessageBox.critical(self, 'Error', 
                 err_msg) 
             return 
-
         self.lock("window filter")
+        
         thread.start_new_thread(self.RAWDataProc.windowFilter, \
                 (str(self.ui.windowTypeComboBox.currentText()), \
                 self.ui.windowBandwidthSpinBox.value(), \

akvo/tressel/mrsurvey.py

                             canvas.ax1.plot( self.DATADICT[pulse]["TIMES"], 1e9*self.DATADICT[pulse][ichan][ipm][istack], \
                                 label = "orig " +  pulse + " ipm=" + str(ipm) + " istack=" + str(istack) + " rchan="  + str(ichan))
 
-                        self.DATADICT[pulse][ichan][ipm][istack] = harmonic.minHarmonic( f0, self.DATADICT[pulse][ichan][ipm][istack], self.samp, 45, self.DATADICT[pulse]["TIMES"] ) 
-                        #self.DATADICT[pulse][ichan][ipm][istack] = harmonic.minHarmonic2( f0-1e-2, f0+1e-2, self.DATADICT[pulse][ichan][ipm][istack], self.samp, 30, self.DATADICT[pulse]["TIMES"] ) 
+                        if nF == 1:
+                            self.DATADICT[pulse][ichan][ipm][istack] = harmonic.minHarmonic( f0, self.DATADICT[pulse][ichan][ipm][istack], self.samp, nK, self.DATADICT[pulse]["TIMES"] ) 
+                        elif nF == 2:
+                            self.DATADICT[pulse][ichan][ipm][istack] = harmonic.minHarmonic2( f0-1e-2, f1+1e-2, self.DATADICT[pulse][ichan][ipm][istack], self.samp, nK, self.DATADICT[pulse]["TIMES"] ) 
 
                         # plot
                         if plot:
                             canvas.ax2.plot( self.DATADICT[pulse]["TIMES"], 1e9*self.DATADICT[pulse][ichan][ipm][istack], \
                                 label = "orig " +  pulse + " ipm=" + str(ipm) + " istack=" + str(istack) + " chan="  + str(ichan))
                         
-                        self.DATADICT[pulse][ichan][ipm][istack] = harmonic.minHarmonic( f0, self.DATADICT[pulse][ichan][ipm][istack], self.samp, 45, self.DATADICT[pulse]["TIMES"] ) 
-                        #self.DATADICT[pulse][ichan][ipm][istack] = harmonic.minHarmonic2( f0-1e-2, f0+1e-2, self.DATADICT[pulse][ichan][ipm][istack], self.samp, 30, self.DATADICT[pulse]["TIMES"] ) 
+                        if nF == 1:
+                            self.DATADICT[pulse][ichan][ipm][istack] = harmonic.minHarmonic( f0, self.DATADICT[pulse][ichan][ipm][istack], self.samp, nK, self.DATADICT[pulse]["TIMES"] ) 
+                        elif nF == 2:
+                            self.DATADICT[pulse][ichan][ipm][istack] = harmonic.minHarmonic2( f0-1e-2, f1+1e-2, self.DATADICT[pulse][ichan][ipm][istack], self.samp, nK, self.DATADICT[pulse]["TIMES"] ) 
                         #self.DATADICT[pulse][ichan][ipm][istack] = harmonic.harmonicEuler( f0, self.DATADICT[pulse][ichan][ipm][istack], self.samp, 20, self.DATADICT[pulse]["TIMES"] ) 
                
                         # plot