Merge pull request #1677 from MITx/victor/fix-auto-cohorting

Fix randomness bug in cohort placement
This commit is contained in:
Diana Huang
2013-03-20 07:50:43 -07:00

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@@ -15,6 +15,24 @@ from .models import CourseUserGroup
log = logging.getLogger(__name__)
# tl;dr: global state is bad. capa reseeds random every time a problem is loaded. Even
# if and when that's fixed, it's a good idea to have a local generator to avoid any other
# code that messes with the global random module.
_local_random = None
def local_random():
"""
Get the local random number generator. In a function so that we don't run
random.Random() at import time.
"""
# ironic, isn't it?
global _local_random
if _local_random is None:
_local_random = random.Random()
return _local_random
def is_course_cohorted(course_id):
"""
Given a course id, return a boolean for whether or not the course is
@@ -129,13 +147,7 @@ def get_cohort(user, course_id):
return None
# Put user in a random group, creating it if needed
choice = random.randrange(0, n)
group_name = choices[choice]
# Victor: we are seeing very strange behavior on prod, where almost all users
# end up in the same group. Log at INFO to try to figure out what's going on.
log.info("DEBUG: adding user {0} to cohort {1}. choice={2}".format(
user, group_name,choice))
group_name = local_random().choice(choices)
group, created = CourseUserGroup.objects.get_or_create(
course_id=course_id,