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 if "preferred_name_rowname" in config:
30 self.preferred_row = config["preferred_name_rowname"]
32 self.preferred_row = None
34 def __load_prev_questions(self):
35 previous_questions = defaultdict(int)
37 for fn in listdir("./data/"):
38 if re.match("call_list-\d{4}-\d{2}-\d{2}.tsv", fn):
39 with open(f"./data/{fn}", 'r') as f:
40 for row in DictReader(f, delimiter="\t"):
41 if not row["answered"] == "FALSE":
42 previous_questions[row[self.unique_row]] += 1
44 return previous_questions
46 def __get_preferred_names(self):
47 # translate the unique name into the preferred students name,
48 # if possible, otherwise return the unique name
51 with open(self.__fn_studentinfo, 'r') as f:
52 for row in DictReader(f, delimiter="\t"):
53 preferred_names[row[self.unique_row]] = row[self.preferred_row]
55 return(preferred_names)
57 def __get_preferred_name(self, selected_student):
58 if selected_student in self.preferred_names:
59 return self.preferred_names[selected_student]
63 def select_student_from_list(self, students_present):
64 prev_questions = self.__load_prev_questions()
66 # created a weighted list by starting out with everybody 1
67 weights = {s : 1 for s in students_present}
69 for s in students_present:
70 for i in range(0, prev_questions[s]):
71 # reduce the weight by a factor of 1/weight each time the student has been called upon
72 weights[s] = weights[s] / self.weight
74 # choose one student from the weighted list
75 # print(weights) # DEBUG LINE
76 return choices(list(weights.keys()), weights=list(weights.values()), k=1)[0]
78 def record_attendance(self, students_present):
79 # if it's the first one of the day, write it out
80 if not os.path.exists(self.__fn_daily_attendance):
81 with open(self.__fn_daily_attendance, "w") as f:
82 print("\t".join(["timestamp", "attendance_list"]), file=f)
84 # open for appending the student
85 with open(self.__fn_daily_attendance, "a") as f:
86 print("\t".join([str(datetime.now()),
87 ",".join(students_present)]),
90 def record_coldcall(self, selected_student):
91 # if it's the first one of the day, write it out
92 if not os.path.exists(self.__fn_daily_calllist):
93 with open(self.__fn_daily_calllist, "w") as f:
94 print("\t".join([self.unique_row, self.preferred_row, "answered", "assessment", "timestamp"]), file=f)
96 preferred_name = self.__get_preferred_name(selected_student)
98 # open for appending the student
99 with open(self.__fn_daily_calllist, "a") as f:
100 print("\t".join([selected_student, preferred_name,
101 "MISSING", "MISSING", str(datetime.now())]), file=f)
103 def coldcall(self, students_present):
104 selected_student = self.select_student_from_list(students_present)
106 # record the called-upon student in the right place
107 if self.record_attendance:
108 self.record_attendance(students_present)
109 self.record_coldcall(selected_student)
111 preferred_name = self.__get_preferred_name(selected_student)
113 coldcall_message = f"{preferred_name} (@{selected_student}), you're up!"
115 coldcall_message = f"@{selected_student}, you're up!"
116 return coldcall_message