def parse_scheduled(courses, start_date, course_start_date, calendar_dict):
# pre-process to dataframe
history = {}
for course in courses:
if course.start_date > start_date:
continue
history_df = pd.read_csv('Output/' + course.title + '_history_cleaned.csv')
for index, row in history_df.iterrows():
if '/' in row['Date']:
cur_date_month, cur_date_day, cur_date_year = row['Date'].split('/')
else:
cur_date_year, cur_date_month, cur_date_day = row['Date'].split('-')
history_df.loc[index, 'Date'] = date(int(cur_date_year), int(cur_date_month), int(cur_date_day))
history[course] = history_df
cur = course_start_date
while cur < start_date:
cur_schedule = Schedule(date=cur)
for course, history_df in history.items():
cur_history_df = history_df[history_df['Date'] == cur]
if not cur_history_df.index.empty:
cur_schedule.add_course(course=course, lesson=get_lesson(course=course, id=cur_history_df['Id'].item()),
ins=get_ins_by_name(course=course, name=cur_history_df['Ins'].item()), point=0,
calendar_dict=calendar_dict)
if cur_schedule.is_valid():
cur_schedule.schedule_today(calendar_dict=calendar_dict)
cur += datetime.timedelta(days=1)
def test_schedule():
schedule = Schedule([])
course_list = populate_classes()
combos = get_combinations(course_list, 3)
which_combo = randint(0, len(combos) - 1)
print_combo(combos[which_combo])
for course in combos[which_combo]:
schedule.add_course(course)
return schedule
def build_base_schedule(possible_courses):
required_courses = []
base_schedule = Schedule([])
for course in possible_courses:
if course.required:
required_courses.append(course)
# make shedule
for req_course in required_courses:
added = base_schedule.add_course(req_course)
if not added:
# this is purely based on the order the classes are parsed
print(
f"Unable to add required courses {req_course.subject}. These courses have conflicts"
)
return base_schedule
