Coverage for statistic/driver.py: 87%

1""" This module contains the Driver class. 

2It is used to create a driver object with the following attributes: 

3- date_order: the date of the order 

4- time_in_list: the time in the loading schedule 

5- person: the person who created the order 

6- count_driver: the number of drivers created  

7""" 

8 

9from pprint import pprint 

10# from data_drive.data_sql import get_newest_list_beton_or_lista 

11 

12 

13class Driver: 

14 

15 count_driver = 0 

16 

17 def __init__(self, work_day, time_in_list, person): 

18 """Card of depart driver 

19 

20 Args: 

21 work_day (str): date string format "dd.mm.yyyy" 

22 time_in_list (datetime.time): time from lista 

23 person (str): name of driver and car's number 

24 """ 

25 self.date_order: str = work_day 

26 self.time_in_list = time_in_list 

27 self.person = person 

28 

29 Driver.count_driver += 1 

30 

31 def convert_to_dict_for_df(self): 

32 

33 return {"date_order": self.date_order, 

34 "time_in_list": self.time_in_list, 

35 "person": self.person 

36 } 

37 

38 @classmethod 

39 def how_many(cls): 

40 '''Prints the current population.''' 

41 print('We have {:d} drivers.'.format(cls.count_driver)) 

42 

43 

44if __name__ == "__main__": 

45 pass 

46 

47 # drivers = {} 

48 # count = 1 

49 # work_day = "03.03.2025" 

50 

51 # for item in get_newest_list_beton_or_lista("lista", work_day, 'zawod'): 

52 # drivers[f"{count}bud"] = Driver(work_day, *item) 

53 # count += 1 

54 

55 # pprint(drivers) 

56 

57 # df_driver = [] 

58 # for key_driver in drivers.keys(): 

59 # driver = drivers[key_driver] 

60 # pprint( 

61 # ( 

62 # driver.time_in_list, 

63 # driver.person, 

64 # ) 

65 # ) 

66 # df_driver.append({ 

67 # "time_start": driver.time_in_list, 

68 # "person": driver.person, 

69 # })