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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]}
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