def execute_button_action(self):
if len(self.files)<1:
tkinter.messagebox.showwarning("No Source Files", "No Source files were found in selected location.")
elif self.destination_file is None:
tkinter.messagebox.showwarning("No Destination File selected", "You have not specified a save location.")
else:
self.start = time.time()
self.window_size=0.2
self.threshold=None
try:
self.window_size=float(self.spinbox_window.get())
except:
tkinter.messagebox.showerror('Window Size Error', 'Could not cast Window Size as number')
try:
if self.combo_threshold.current()==1:
self.threshold = self.spinbox_threshold.get()
if self.threshold != '' or len(str(self.threshold))>1:
self.threshold = float(self.threshold)
else:
self.threshold=None
else:
self.threshold=None
except:
tkinter.messagebox.showerror('Threshold Error', 'Could not cast Threshold as number')
self.out_data = []
if self.combo_output.current()==0:
self.out_data.append(["Source File", "Mass/Charge", "Intensity"])
elif self.combo_output.current()==1:
self.out_data.append(["Source File", "Mass/Charge", "Intensity", "Peak of Interest"])
elif self.combo_output.current()==2:
self.out_data.append(["Source File", "Mass/Charge", "Intensity", "Maximum", "Inflection", "Peak of Interest"])
else:
self.out_data.append(["Source File", "Mass/Charge", "Intensity", "Maximum", "Inflection", "Peak of Interest"])
#add other Elifs for output headers
self.current_progress=0
for f in self.files:
test = IO.CSVFileReader(f, hasHeaders=bool(self.state_headers.get()))
test.read()
data = Data.DataSet(test)
data.window_max(window_size=float(self.window_size))
if self.combo_id_column.current()==0:
column_a=data.path
elif self.combo_id_column.current()==1:
column_a=data.name
else:
column_a=data.name
#Threshold Settings
if self.combo_threshold.current()==0:
self.threshold=data.average_non_inflections
elif self.combo_threshold.current()==1:
self.threshold=float(self.spinbox_threshold.get())
elif self.combo_threshold.current()==2:
self.threshold=data.base_median
elif self.combo_threshold.current()==3:
self.threshold=data.base_average
else:
self.threshold=None
#Factor
if self.state_factor.get()==True:
data.max_nearest_greater_factor(float(self.spinbox_factor.get()))
if self.combo_output.current()==0:
data.max_points.sort(reverse=True)
for row in data.max_points:
if self.threshold is None and row.y>data.average_non_inflections and row.max_at_x and row.active and row.inflection:
self.out_data.append([str(column_a), str(row.x), str(row.y)])
elif not self.threshold is None:
if row.y>self.threshold and row.max_at_x and row.active and row.inflection:
self.out_data.append([str(column_a), str(row.x), str(row.y)])
elif self.combo_output.current()==1:
data.max_points.sort(reverse=True)
for row in data.max_points:
if self.threshold is None:
self.out_data.append([str(column_a), str(row.x), str(row.y), str(row.max_at_x and row.active and row.inflection and row.y>data.average_non_inflections)])
elif not self.threshold is None:
self.out_data.append([str(column_a), str(row.x), str(row.y), str(row.max_at_x and row.active and row.inflection and row.y>self.threshold)])
elif self.combo_output.current()==2:
data.data.sort(reverse=True)
for row in data.data:
if self.threshold is None:
self.out_data.append([str(column_a), str(row.x), str(row.y),str(row.max_at_x), str(row.inflection), str(row.max_at_x and row.active and row.inflection and row.y>data.average_non_inflections)])
elif not self.threshold is None:
self.out_data.append([str(column_a), str(row.x), str(row.y),str(row.max_at_x), str(row.inflection), str(row.max_at_x and row.active and row.inflection and row.y>self.threshold)])
else:
data.data.sort(reverse=True)
for row in data.data:
if self.threshold is None:
self.out_data.append([str(column_a), str(row.x), str(row.y),str(row.max_at_x), str(row.inflection), str(row.max_at_x and row.active and row.inflection and row.y>data.average_non_inflections)])
elif not self.threshold is None:
self.out_data.append([str(column_a), str(row.x), str(row.y),str(row.max_at_x), str(row.inflection), str(row.max_at_x and row.active and row.inflection and row.y>self.threshold)])
self.current_progress+=1
self.current_progress_var.set((self.current_progress/len(self.files))*100)
self.master.update_idletasks()
out = IO.CSVFileWriter(pathlib.Path(self.destination), self.out_data)
out.write()
self.stop = time.time()
tkinter.messagebox.showinfo("Complete!", "Processed {} files, exported {} rows of data, in {:.1f} seconds".format(len(self.files), len(self.out_data)-1, self.stop-self.start))
