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authorParker Berberian <pberberian@iol.unh.edu>2019-06-20 16:16:02 -0400
committerParker Berberian <pberberian@iol.unh.edu>2019-06-20 16:16:02 -0400
commite449050bc3b42ee44dc8d651036212541d3bcf36 (patch)
tree67b38862ed08a4d3f80be6452c69ada30c010ae4 /src/booking/stats.py
parent8cfd61aa885ad30947d3f1fab413ab8addeec724 (diff)
Speed up Booking Stats
Refactors the bookings stats function to use the database less. Runs in around 1/3 the time as the current version Change-Id: I4f367b96374511d2f669d4554919a65912f304f8 Signed-off-by: Parker Berberian <pberberian@iol.unh.edu>
Diffstat (limited to 'src/booking/stats.py')
-rw-r--r--src/booking/stats.py40
1 files changed, 20 insertions, 20 deletions
diff --git a/src/booking/stats.py b/src/booking/stats.py
index b706577..62ba648 100644
--- a/src/booking/stats.py
+++ b/src/booking/stats.py
@@ -25,7 +25,7 @@ class StatisticsManager(object):
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()
+ data = []
x = []
y = []
users = []
@@ -33,26 +33,26 @@ class StatisticsManager(object):
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)
+ 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))
- x_set.add(now)
- x_set.add(end)
+ # sort based on time
+ data.sort(key=lambda i: i[0])
- 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))
+ # 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]}