1 ##############################################################################
2 # Copyright (c) 2018 Parker Berberian, Sawyer Bergeron, and others.
4 # All rights reserved. This program and the accompanying materials
5 # are made available under the terms of the Apache License, Version 2.0
6 # which accompanies this distribution, and is available at
7 # http://www.apache.org/licenses/LICENSE-2.0
8 ##############################################################################
9 from booking.models import Booking
14 class StatisticsManager(object):
17 def getContinuousBookingTimeSeries(span=28):
19 Will return a dictionary of names and 2-D array of x and y data points.
20 e.g. {"plot1": [["x1", "x2", "x3"],["y1", "y2", "y3]]}
21 x values will be dates in string
22 every change (booking start / end) will be reflected,
23 instead of one data point per day
24 y values are the integer number of bookings/users active at
25 some point in the given date span is the number of days to plot.
26 The last x value will always be the current time
32 now = datetime.datetime.now(pytz.utc)
33 delta = datetime.timedelta(days=span)
35 bookings = Booking.objects.filter(start__lte=now, end__gte=end)
36 for booking in bookings:
37 x_set.add(booking.start)
39 x_set.add(booking.end)
45 x_list.sort(reverse=True)
48 active = Booking.objects.filter(start__lte=time, end__gt=time)
49 booking_count = len(active)
51 for booking in active:
52 users_set.add(booking.owner)
53 for user in booking.collaborators.all():
55 y.append(booking_count)
56 users.append(len(users_set))
58 return {"booking": [x, y], "user": [x, users]}