def action_start(self):
data = Data(self.path)
pref = self.preference.get()
pref = pref if pref == 'median' or 'max' else float(pref)
param = [
self.min_count.get(),
self.min_occur.get(),
self.segment_range.get(), pref,
self.damping_factor.get(),
self.max_iteration.get()
]
if None not in param:
mc.start(data,
min_count=param[0],
min_occur=param[1],
segment_range_ms=param[2] * 3600 * 1000,
preference=param[3],
damping_factor=param[4],
max_iteration=param[5],
new_data=self.new_data.get())
segment_list = data.get_segment_list()
if len(segment_list) > 0:
option = self.segment_option['menu']
option.delete(0, 'end')
for index, string in enumerate(segment_list):
option.add_command(label=string,
command=lambda idx=index, val=string:
self.load_summary(idx, name=val))
self.statistic_text.delete('1.0', 'end')
statistic = data.get_statistic()
for text in statistic:
self.statistic_text.insert('insert', text + '\n')
def action_open_path(self):
self.path = askdirectory()
if not self.path:
return
data = Data(self.path)
param = data.get_result('PARAMETER')
if param is not None:
self.min_count.set(param['min_count'])
self.min_occur.set(param['min_occur'])
self.segment_range.set(param['segment_range_ms'] / (3600 * 1000))
self.preference.set(param['preference'])
self.damping_factor.set(param['damping_factor'])
self.max_iteration.set(param['max_iteration'])
segment_list = data.get_segment_list()
if len(segment_list) > 0:
option = self.segment_option['menu']
option.delete(0, 'end')
for index, string in enumerate(segment_list):
option.add_command(label=string,
command=lambda idx=index, val=string:
self.load_summary(idx, name=val))
self.statistic_text.delete('1.0', 'end')
statistic = data.get_statistic()
for text in statistic:
self.statistic_text.insert('insert', text + '\n')