3 from collections import defaultdict
4 from datetime import datetime
5 from random import choices
7 from csv import DictReader
15 self.today = str(datetime.date(datetime.now()))
16 # how much less likely should it be that a student is called upon?
20 self.__fn_studentinfo = "data/student_information.tsv"
21 self.__fn_daily_calllist = f"data/call_list-{self.today}.tsv"
22 self.__fn_daily_attendence = f"data/attendence-{self.today}.tsv"
24 def __load_prev_questions(self):
25 previous_questions = defaultdict(int)
27 for fn in listdir("./data/"):
28 if re.match("call_list-\d{4}-\d{2}-\d{2}.tsv", fn):
29 with open(f"./data/{fn}", 'r') as f:
30 for row in DictReader(f, delimiter="\t"):
31 previous_questions[row["discord_name"]] += 1
33 return previous_questions
35 def __get_preferred_name(self, selected_student):
36 # translate the discord name into the preferred students name,
37 # if possible, otherwise return the discord name
40 with open(self.__fn_studentinfo, 'r') as f:
41 for row in DictReader(f, delimiter="\t"):
42 preferred_names[row["Your username on the class Discord server"]] = row["Name you'd like to go by in class"]
44 if selected_student in preferred_names:
45 return preferred_names[selected_student]
49 def __select_student_from_list (self, students_present):
50 prev_questions = self.__load_prev_questions()
52 # created a weighted list by starting out with everybody 1
53 weights = {s : 1 for s in students_present}
55 for s in students_present:
56 for i in range(0, prev_questions[s]):
57 # reduce the weight by a factor of 1/weight each time the student has been called upon
58 weights[s] = weights[s] / self.weight
60 # choose one student from the weighted list
62 return choices(list(weights.keys()), weights=list(weights.values()), k=1)[0]
64 def __record_attendence(self, students_present):
65 # if it's the first one of the day, write it out
66 if not os.path.exists(self.__fn_daily_attendence):
67 with open(self.__fn_daily_attendence, "w") as f:
68 print("\t".join(["timestamp", "attendence_list"]), file=f)
70 # open for appending the student
71 with open(self.__fn_daily_attendence, "a") as f:
72 print("\t".join([str(datetime.now()),
73 ",".join(students_present)]),
76 def __record_coldcall(self, selected_student):
77 # if it's the first one of the day, write it out
78 if not os.path.exists(self.__fn_daily_calllist):
79 with open(self.__fn_daily_calllist, "w") as f:
80 print("\t".join(["discord_name", "timestamp", "answered", "assessment"]), file=f)
82 # open for appending the student
83 with open(self.__fn_daily_calllist, "a") as f:
84 print("\t".join([selected_student, str(datetime.now()),
85 "MISSING", "MISSING"]), file=f)
87 def coldcall(self, students_present):
88 selected_student = self.__select_student_from_list(students_present)
90 # record the called-upon student in the right place
91 self.__record_attendence(students_present)
92 self.__record_coldcall(selected_student)
94 preferred_name = self.__get_preferred_name(selected_student)
96 coldcall_message = f"{preferred_name} (@{selected_student}), you're up!"
98 coldcall_message = f"@{selected_student}, you're up!"
99 return coldcall_message
103 # test_student_list = ["jordan", "Kristen Larrick", "Madison Heisterman", "Maria.Au20", "Laura (Alia) Levi", "Leona Aklipi", "Linya Feng", "anne", "kirst", "emmaaitelli", "ashleylee", "allie_partridge", "Tiana_Cole", "Hamin", "Ella Qu", "Angel Su", "Shizuka", "Ben Baird", "Kim Do", "Isaacm24", "Sam Bell", "Courtneylg", "TasnimHasan"]
104 # print(cc.coldcall(test_student_list))
106 # test_student_list = ["jordan", "Kristen Larrick", "Mako"]
107 # print(cc.coldcall(test_student_list))
109 # test_student_list = ["jordan", "Kristen Larrick"]
110 # print(cc.coldcall(test_student_list))