3 from collections import defaultdict
4 from datetime import datetime
5 from random import choices
7 from csv import DictReader
13 def __init__ (self, record_attendance=True):
14 self.today = str(datetime.date(datetime.now()))
15 # how much less likely should it be that a student is called upon?
17 self.record_attendance = record_attendance
20 self.__fn_studentinfo = "data/student_information.tsv"
21 self.__fn_daily_calllist = f"data/call_list-{self.today}.tsv"
22 self.__fn_daily_attendance = f"data/attendance-{self.today}.tsv"
24 self.preferred_names = self.__get_preferred_names()
26 def __load_prev_questions(self):
27 previous_questions = defaultdict(int)
29 for fn in listdir("./data/"):
30 if re.match("call_list-\d{4}-\d{2}-\d{2}.tsv", fn):
31 with open(f"./data/{fn}", 'r') as f:
32 for row in DictReader(f, delimiter="\t"):
33 if not row["answered"] == "FALSE":
34 previous_questions[row["unique_name"]] += 1
36 return previous_questions
38 def __get_preferred_names(self):
39 # translate the unique name into the preferred students name,
40 # if possible, otherwise return the unique name
43 with open(self.__fn_studentinfo, 'r') as f:
44 for row in DictReader(f, delimiter="\t"):
45 preferred_names[row["Your username on the class Teams server"]] = row["Name you'd like to go by in class"]
47 return(preferred_names)
49 def __get_preferred_name(self, selected_student):
50 if selected_student in self.preferred_names:
51 return self.preferred_names[selected_student]
55 def __select_student_from_list (self, students_present):
56 prev_questions = self.__load_prev_questions()
58 # created a weighted list by starting out with everybody 1
59 weights = {s : 1 for s in students_present}
61 for s in students_present:
62 for i in range(0, prev_questions[s]):
63 # reduce the weight by a factor of 1/weight each time the student has been called upon
64 weights[s] = weights[s] / self.weight
66 # choose one student from the weighted list
67 # print(weights) # DEBUG LINE
68 return choices(list(weights.keys()), weights=list(weights.values()), k=1)[0]
70 def __record_attendance(self, students_present):
71 # if it's the first one of the day, write it out
72 if not os.path.exists(self.__fn_daily_attendance):
73 with open(self.__fn_daily_attendance, "w") as f:
74 print("\t".join(["timestamp", "attendance_list"]), file=f)
76 # open for appending the student
77 with open(self.__fn_daily_attendance, "a") as f:
78 print("\t".join([str(datetime.now()),
79 ",".join(students_present)]),
82 def __record_coldcall(self, selected_student):
83 # if it's the first one of the day, write it out
84 if not os.path.exists(self.__fn_daily_calllist):
85 with open(self.__fn_daily_calllist, "w") as f:
86 print("\t".join(["unique_name", "timestamp", "answered", "assessment"]), file=f)
88 # open for appending the student
89 with open(self.__fn_daily_calllist, "a") as f:
90 print("\t".join([selected_student, str(datetime.now()),
91 "MISSING", "MISSING"]), file=f)
93 def coldcall(self, students_present):
94 selected_student = self.__select_student_from_list(students_present)
96 # record the called-upon student in the right place
97 if self.record_attendance:
98 self.__record_attendance(students_present)
99 self.__record_coldcall(selected_student)
101 preferred_name = self.__get_preferred_name(selected_student)
103 coldcall_message = f"{preferred_name} (@{selected_student}), you're up!"
105 coldcall_message = f"@{selected_student}, you're up!"
106 return coldcall_message
110 # test_student_list = ["jordan", "Kristen Larrick", "Madison Heisterman", "Maria.Au20", "Laura (Alia) Levi", "Leona Aklipi", "anne", "emmaaitelli", "ashleylee", "allie_partridge", "Tiana_Cole", "Hamin", "Ella Qu", "Shizuka", "Ben Baird", "Kim Do", "Isaacm24", "Sam Bell", "Courtneylg"]
111 # print(cc.coldcall(test_student_list))
113 # test_student_list = ["jordan", "Kristen Larrick", "Mako"]
114 # print(cc.coldcall(test_student_list))
116 # test_student_list = ["jordan", "Kristen Larrick"]
117 # print(cc.coldcall(test_student_list))