def __do_the_stats(self):
'''周期性调用'''
file_list = program_top.utilities.my_dir.browse_dir(
self._input_directory, '.csv')
fail_file_filter = lambda x: (x.__contains__('fail') and x.
__contains__('total'))
pure_file_fileter = lambda x: (x.__contains__('reserve') and x.
__contains__('total'))
fail_file_list = filter(fail_file_filter, file_list)
pure_file_list = filter(pure_file_fileter, file_list)
self._clear_up_before_data_update()
self._failure_total_data = DataFrame.from_csv(fail_file_list[0])
self._reservation_total_data = DataFrame.from_csv(pure_file_list[0])
self._total_reservation_count = self._reservation_total_data.sum(
numeric_only=True).values.tolist()[0]
keys_of_interest = ['supplier', 'channel', 'hotel_supplier']
value_key = 'sum_count'
total_supplier_lists = self._reservation_total_data['supplier'].unique(
).tolist()
self._active_hotel_counts = hotel_searcher_ref.get_active_hotel_lists(
total_supplier_lists)
self._get_two_key_vs_failure_rate(keys_of_interest[0],
keys_of_interest[1],
value_key=value_key)
self._get_two_key_vs_importance_panel(keys_of_interest[0],
keys_of_interest[1],
value_key=value_key)
self._output_two_key_vs_caution_score(keys_of_interest[0],
keys_of_interest[1],
value_key=value_key)
#self._output_altitude_plot(keys_of_interest[0], keys_of_interest[1], self._double_key_failure_rate_panels[keys_of_interest[0], keys_of_interest[1]])
for each_key in keys_of_interest:
self._output_failure_rate_of_each_key(each_key, keys_of_interest,
value_key)
self._get_reservation_importance(each_key, keys_of_interest,
value_key)
self._output_caution_score_of_each_key(each_key, keys_of_interest,
value_key)
pass
#self._output_failure_rate_vs_reservation_scattered_point_plot(keys_of_interest[2])
#self._output_caution_score_vs_reservation_importance_scattered_point_plot(keys_of_interest[2])
#self._cut_data_into_categorical_group(keys_of_interest[2],'failure_rate',50,self._failure_rate_panels[keys_of_interest[2]])
#self._cut_data_into_categorical_group(keys_of_interest[2],'caution_score',50,self._caution_score_panel[keys_of_interest[2]])
self._write_logs('订单失误和警告分数统计完成')
from program_top.utilities.process_and_main_function.my_engine import my_engine
from components.standalone_working_class.working_type_base.backend_interface_base.s3_gate_uploader import s3_gate_uploader
my_engine(s3_gate_uploader) #创建一个s3上传数据的实例
pass
def main_function(running_class_def=None): '''主函数，传入开始执行的主函数，然后以指定的类作为起始工作实例，为单实例机器的程序入口''' a=my_engine(running_class_def) #b=my_engine(running_class_def) IOLoop.current().start() pass
def load_instances(current_environment_pack):
'''这里负责启动所有要工作的进程'''
current_working_instances = {
'ma_stupid_multi_contract':
my_engine(ma_stupid_multi_contract, current_environment_pack)
}
return current_working_instances
def __do_the_stats(self):
'''周期性调用'''
file_list=program_top.utilities.my_dir.browse_dir(self._input_directory, '.csv')
fail_file_filter=lambda x: (x.__contains__('fail') and x.__contains__('total'))
pure_file_fileter=lambda x: (x.__contains__('reserve') and x.__contains__('total'))
fail_file_list=filter(fail_file_filter, file_list)
pure_file_list=filter(pure_file_fileter, file_list)
self._clear_up_before_data_update()
self._failure_total_data=DataFrame.from_csv(fail_file_list[0])
self._reservation_total_data=DataFrame.from_csv(pure_file_list[0])
self._total_reservation_count=self._reservation_total_data.sum(numeric_only=True).values.tolist()[0]
keys_of_interest=['supplier','channel','hotel_supplier']
value_key='sum_count'
total_supplier_lists=self._reservation_total_data['supplier'].unique().tolist()
self._active_hotel_counts=hotel_searcher_ref.get_active_hotel_lists(total_supplier_lists)
self._get_two_key_vs_failure_rate(keys_of_interest[0], keys_of_interest[1], value_key=value_key)
self._get_two_key_vs_importance_panel(keys_of_interest[0], keys_of_interest[1], value_key=value_key)
self._output_two_key_vs_caution_score(keys_of_interest[0], keys_of_interest[1], value_key=value_key)
#self._output_altitude_plot(keys_of_interest[0], keys_of_interest[1], self._double_key_failure_rate_panels[keys_of_interest[0], keys_of_interest[1]])
for each_key in keys_of_interest:
self._output_failure_rate_of_each_key(each_key, keys_of_interest, value_key)
self._get_reservation_importance(each_key,keys_of_interest,value_key)
self._output_caution_score_of_each_key(each_key, keys_of_interest, value_key)
pass
#self._output_failure_rate_vs_reservation_scattered_point_plot(keys_of_interest[2])
#self._output_caution_score_vs_reservation_importance_scattered_point_plot(keys_of_interest[2])
#self._cut_data_into_categorical_group(keys_of_interest[2],'failure_rate',50,self._failure_rate_panels[keys_of_interest[2]])
#self._cut_data_into_categorical_group(keys_of_interest[2],'caution_score',50,self._caution_score_panel[keys_of_interest[2]])
self._write_logs('订单失误和警告分数统计完成')
from program_top.utilities.process_and_main_function.my_engine import my_engine
from program_top.components import s3_gate_uploader
my_engine(s3_gate_uploader)#创建一个s3上传数据的实例
pass