#!/usr/bin/env python3 from collections import defaultdict from datetime import datetime from random import choices from os import listdir from csv import DictReader import os.path import re import json class ColdCall(): def __init__ (self, record_attendance=True): with open("configuration.json") as config_file: config = json.loads(config_file.read()) self.today = str(datetime.date(datetime.now())) # how much less likely should it be that a student is called upon? self.weight = 2 self.record_attendance = record_attendance # filenames self.__fn_studentinfo = config["student_info_file"] self.__fn_daily_calllist = config["daily_calllist_file"].format(date=self.today) self.__fn_daily_attendance = config["daily_attendance"].format(date=self.today) self.unique_row = config["unique_name_rowname"] self.preferred_row = config["preferred_name_rowname"] self.preferred_names = self.__get_preferred_names() def __load_prev_questions(self): previous_questions = defaultdict(int) for fn in listdir("./data/"): if re.match("call_list-\d{4}-\d{2}-\d{2}.tsv", fn): with open(f"./data/{fn}", 'r') as f: for row in DictReader(f, delimiter="\t"): if not row["answered"] == "FALSE": previous_questions[row[self.unique_row]] += 1 return previous_questions def __get_preferred_names(self): # translate the unique name into the preferred students name, # if possible, otherwise return the unique name preferred_names = {} with open(self.__fn_studentinfo, 'r') as f: for row in DictReader(f, delimiter="\t"): preferred_names[row[self.unique_row]] = row[self.preferred_row] return(preferred_names) def __get_preferred_name(self, selected_student): if selected_student in self.preferred_names: return self.preferred_names[selected_student] else: return None def __select_student_from_list (self, students_present): prev_questions = self.__load_prev_questions() # created a weighted list by starting out with everybody 1 weights = {s : 1 for s in students_present} for s in students_present: for i in range(0, prev_questions[s]): # reduce the weight by a factor of 1/weight each time the student has been called upon weights[s] = weights[s] / self.weight # choose one student from the weighted list # print(weights) # DEBUG LINE return choices(list(weights.keys()), weights=list(weights.values()), k=1)[0] def __record_attendance(self, students_present): # if it's the first one of the day, write it out if not os.path.exists(self.__fn_daily_attendance): with open(self.__fn_daily_attendance, "w") as f: print("\t".join(["timestamp", "attendance_list"]), file=f) # open for appending the student with open(self.__fn_daily_attendance, "a") as f: print("\t".join([str(datetime.now()), ",".join(students_present)]), file=f) def __record_coldcall(self, selected_student): # if it's the first one of the day, write it out if not os.path.exists(self.__fn_daily_calllist): with open(self.__fn_daily_calllist, "w") as f: print("\t".join([self.unique_row, self.preferred_row, "answered", "assessment", "timestamp"]), file=f) preferred_name = self.__get_preferred_name(selected_student) # open for appending the student with open(self.__fn_daily_calllist, "a") as f: print("\t".join([selected_student, preferred_name, "MISSING", "MISSING", str(datetime.now())]), file=f) def coldcall(self, students_present): selected_student = self.__select_student_from_list(students_present) # record the called-upon student in the right place if self.record_attendance: self.__record_attendance(students_present) self.__record_coldcall(selected_student) preferred_name = self.__get_preferred_name(selected_student) if preferred_name: coldcall_message = f"{preferred_name} (@{selected_student}), you're up!" else: coldcall_message = f"@{selected_student}, you're up!" return coldcall_message