1 files changed, 58 insertions, 0 deletions
diff --git a/dashboard/src/booking/stats.py b/dashboard/src/booking/stats.py
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+++ b/dashboard/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
+        """
+        data = []
+        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).prefetch_related("collaborators")
+        for booking in bookings:  # collect data from each booking
+            user_list = [u.pk for u in booking.collaborators.all()]
+            user_list.append(booking.owner.pk)
+            data.append((booking.start, 1, user_list))
+            data.append((booking.end, -1, user_list))
+
+        # sort based on time
+        data.sort(key=lambda i: i[0])
+
+        # collect data
+        count = 0
+        active_users = {}
+        for datum in data:
+            x.append(str(datum[0]))  # time
+            count += datum[1]  # booking count
+            y.append(count)
+            for pk in datum[2]:  # maintain count of each user's active bookings
+                active_users[pk] = active_users.setdefault(pk, 0) + datum[1]
+                if active_users[pk] == 0:
+                    del active_users[pk]
+            users.append(len([x for x in active_users.values() if x > 0]))
+
+        return {"booking": [x, y], "user": [x, users]}