from timetable import Timetable
import argparse
import sys
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description='Create html time table from event list')
parser.add_argument('path1',
metavar='timetable path',
help='xlsx timetable file path')
parser.add_argument('path2',
metavar='event_id path',
help='event_id list file path ')
parser.add_argument('-o',
metavar='output file',
help='Output file location.')
args = parser.parse_args()
t = Timetable(args.path1)
with open(args.path2, 'r') as f:
events = f.read().splitlines()
t.load_events(events)
out = t.render_html()
if args.o:
with open(args.o, 'w') as f1:
f1.write(out)
else:
print(out)
score += 10
return score
def daylength(self, events):
score = 0
if events[-1].end_time - events[0].start_time < 6 * 60:
score += 10
if sum(x.length_time for x in events) < 4 * 60:
score += 10
return score
if __name__ == "__main__":
files = [
"Room List.xlsx", "Roomequip.xlsx", "Timetable2018-19.xlsx",
"buildings.csv"
]
paths = [os.path.join("Data", x) for x in files]
buildings = load_buildings()
#rooms = load_rooms(paths[0], paths[1], buildings)
timetable = Timetable(paths[2])
modules = timetable.list_modules()
test = sys.argv[1:]
events = timetable.generate_event_list(test)
timetable.load_events(events)
m = TimetableMetrics(timetable, buildings, sys.argv[1])
a = m.calc_metrics()
m.get_averages(a)
