Merge pull request #1677 from MITx/victor/fix-auto-cohorting
Fix randomness bug in cohort placement
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@@ -15,6 +15,24 @@ from .models import CourseUserGroup
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log = logging.getLogger(__name__)
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# tl;dr: global state is bad. capa reseeds random every time a problem is loaded. Even
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# if and when that's fixed, it's a good idea to have a local generator to avoid any other
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# code that messes with the global random module.
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_local_random = None
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def local_random():
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"""
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Get the local random number generator. In a function so that we don't run
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random.Random() at import time.
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"""
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# ironic, isn't it?
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global _local_random
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if _local_random is None:
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_local_random = random.Random()
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return _local_random
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def is_course_cohorted(course_id):
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"""
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Given a course id, return a boolean for whether or not the course is
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@@ -129,13 +147,7 @@ def get_cohort(user, course_id):
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return None
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# Put user in a random group, creating it if needed
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choice = random.randrange(0, n)
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group_name = choices[choice]
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# Victor: we are seeing very strange behavior on prod, where almost all users
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# end up in the same group. Log at INFO to try to figure out what's going on.
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log.info("DEBUG: adding user {0} to cohort {1}. choice={2}".format(
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user, group_name,choice))
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group_name = local_random().choice(choices)
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group, created = CourseUserGroup.objects.get_or_create(
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course_id=course_id,
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