3 from collections import defaultdict
4 from datetime import datetime
5 from random import choices
7 from csv import DictReader
14 def __init__ (self, record_attendance=True):
15 with open("configuration.json") as config_file:
16 config = json.loads(config_file.read())
18 self.today = str(datetime.date(datetime.now()))
19 # how much less likely should it be that a student is called upon?
21 self.record_attendance = record_attendance
24 self.__fn_studentinfo = config["student_info_file"]
25 self.__fn_daily_calllist = config["daily_calllist_file"].format(date=self.today)
26 self.__fn_daily_attendance = config["daily_attendance"].format(date=self.today)
28 self.unique_row = config["unique_name_rowname"]
29 self.preferred_row = config["preferred_name_rowname"]
31 self.preferred_names = self.__get_preferred_names()
33 def __load_prev_questions(self):
34 previous_questions = defaultdict(int)
36 for fn in listdir("./data/"):
37 if re.match("call_list-\d{4}-\d{2}-\d{2}.tsv", fn):
38 with open(f"./data/{fn}", 'r') as f:
39 for row in DictReader(f, delimiter="\t"):
40 if not row["answered"] == "FALSE":
41 previous_questions[row[self.unique_row]] += 1
43 return previous_questions
45 def __get_preferred_names(self):
46 # translate the unique name into the preferred students name,
47 # if possible, otherwise return the unique name
50 with open(self.__fn_studentinfo, 'r') as f:
51 for row in DictReader(f, delimiter="\t"):
52 preferred_names[row[self.unique_row]] = row[self.preferred_row]
54 return(preferred_names)
56 def __get_preferred_name(self, selected_student):
57 if selected_student in self.preferred_names:
58 return self.preferred_names[selected_student]
62 def __select_student_from_list (self, students_present):
63 prev_questions = self.__load_prev_questions()
65 # created a weighted list by starting out with everybody 1
66 weights = {s : 1 for s in students_present}
68 for s in students_present:
69 for i in range(0, prev_questions[s]):
70 # reduce the weight by a factor of 1/weight each time the student has been called upon
71 weights[s] = weights[s] / self.weight
73 # choose one student from the weighted list
74 # print(weights) # DEBUG LINE
75 return choices(list(weights.keys()), weights=list(weights.values()), k=1)[0]
77 def __record_attendance(self, students_present):
78 # if it's the first one of the day, write it out
79 if not os.path.exists(self.__fn_daily_attendance):
80 with open(self.__fn_daily_attendance, "w") as f:
81 print("\t".join(["timestamp", "attendance_list"]), file=f)
83 # open for appending the student
84 with open(self.__fn_daily_attendance, "a") as f:
85 print("\t".join([str(datetime.now()),
86 ",".join(students_present)]),
89 def __record_coldcall(self, selected_student):
90 # if it's the first one of the day, write it out
91 if not os.path.exists(self.__fn_daily_calllist):
92 with open(self.__fn_daily_calllist, "w") as f:
93 print("\t".join([self.unique_row, self.preferred_row, "answered", "assessment", "timestamp"]), file=f)
95 preferred_name = self.__get_preferred_name(selected_student)
97 # open for appending the student
98 with open(self.__fn_daily_calllist, "a") as f:
99 print("\t".join([selected_student, preferred_name,
100 "MISSING", "MISSING", str(datetime.now())]), file=f)
102 def coldcall(self, students_present):
103 selected_student = self.__select_student_from_list(students_present)
105 # record the called-upon student in the right place
106 if self.record_attendance:
107 self.__record_attendance(students_present)
108 self.__record_coldcall(selected_student)
110 preferred_name = self.__get_preferred_name(selected_student)
112 coldcall_message = f"{preferred_name} (@{selected_student}), you're up!"
114 coldcall_message = f"@{selected_student}, you're up!"
115 return coldcall_message