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-rw-r--r--src/booking/stats.py56
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diff --git a/src/booking/stats.py b/src/booking/stats.py
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+##############################################################################
+# Copyright (c) 2018 Parker Berberian, Sawyer Bergeron, and others.
+#
+# All rights reserved. This program and the accompanying materials
+# are made available under the terms of the Apache License, Version 2.0
+# which accompanies this distribution, and is available at
+# http://www.apache.org/licenses/LICENSE-2.0
+##############################################################################
+from booking.models import Booking
+import datetime
+import pytz
+
+
+class StatisticsManager(object):
+
+ @staticmethod
+ def getContinuousBookingTimeSeries(span=28):
+ """
+ Will return a dictionary of names and 2-D array of x and y data points.
+ e.g. {"plot1": [["x1", "x2", "x3"],["y1", "y2", "y3]]}
+ x values will be dates in string
+ every change (booking start / end) will be reflected, instead of one data point per day
+ y values are the integer number of bookings/users active at some point in the given date
+ span is the number of days to plot. The last x value will always be the current time
+ """
+ x_set = set()
+ x = []
+ y = []
+ users = []
+ now = datetime.datetime.now(pytz.utc)
+ delta = datetime.timedelta(days=span)
+ end = now-delta
+ bookings = Booking.objects.filter(start__lte=now, end__gte=end)
+ for booking in bookings:
+ x_set.add(booking.start)
+ if booking.end < now:
+ x_set.add(booking.end)
+
+ x_set.add(now)
+ x_set.add(end)
+
+ x_list = list(x_set)
+ x_list.sort(reverse=True)
+ for time in x_list:
+ x.append(str(time))
+ active = Booking.objects.filter(start__lte=time, end__gt=time)
+ booking_count = len(active)
+ users_set = set()
+ for booking in active:
+ users_set.add(booking.owner)
+ for user in booking.collaborators.all():
+ users_set.add(user)
+ y.append(booking_count)
+ users.append(len(users_set))
+
+ return {"booking": [x, y], "user": [x, users]}