import fileparser
import dateutil.parser
import algorithms
#parse begin
students = fileparser.parse_students()
courses = []
for student in students:
for attempt in student.attempts:
courses.append(attempt.course)
courses = set(courses)
courseCodes = set(course.id_num for course in courses)
#parse end
courseYcode=582219#käyttöjärjestelmä
yGrade=0
minsupp=0.2
k_item_set=7
def group(attempts):
attempts.sort(key=lambda a: dateutil.parser.parse(a.date))
response = [[attempts[0]]]
for i in range(1, len(attempts)):
if attempts[i].date != response[-1][-1].date:
response.append([attempts[i]])
else:
response[-1].append(attempts[i])
return [set(a.course.id_num for a in x) for x in response]
def preprocess(students,courses,courseCodes,target_course_code,target_grade):
newCode=target_course_code*1000+target_grade
newCourse=None
for course in courses:
import fileparser as f
import algorithms as alg
import dateutil.parser
import datetime as d
students = f.parse_students()
adv_prog = "582103"
intro_prog = "581325"
courseIdToName = {}
def process_students(students):
processed_students = []
for student in students:
record = [{'grade': int(attempt.grade),
'id': str(attempt.course.id_num),
'date': dateutil.parser.parse(attempt.date)}
for attempt
in student.attempts]
for attempt in student.attempts:
courseIdToName[int(attempt.course.id_num)] = attempt.course.name
record.sort(key=lambda a: a['date'])
processed_students.append(record)
return processed_students
def next_semester_date(date, springmonth, fallmonth):
month = date.month
if month < fallmonth:
return d.datetime(date.year, fallmonth, 1, 0, 0, 0, 0)
else:
return d.datetime(date.year + 1, springmonth, 1, 0, 0, 0, 0)
