Fix randomization bug in capa.
(Note: capa_problem was still doing randomization internally, but now it does what's actually intended)
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@@ -2,6 +2,7 @@ import cgi
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import datetime
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import dateutil
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import dateutil.parser
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import hashlib
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import json
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import logging
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import traceback
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@@ -25,6 +26,22 @@ log = logging.getLogger("mitx.courseware")
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#-----------------------------------------------------------------------------
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TIMEDELTA_REGEX = re.compile(r'^((?P<days>\d+?) day(?:s?))?(\s)?((?P<hours>\d+?) hour(?:s?))?(\s)?((?P<minutes>\d+?) minute(?:s)?)?(\s)?((?P<seconds>\d+?) second(?:s)?)?$')
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# Generated this many different variants of problems with rerandomize=per_student
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NUM_RANDOMIZATION_BINS = 20
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def randomization_bin(seed, problem_id):
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"""
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Pick a randomization bin for the problem given the user's seed and a problem id.
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We do this because we only want e.g. 20 randomizations of a problem to make analytics
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interesting. To avoid having sets of students that always get the same problems,
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we'll combine the system's per-student seed with the problem id in picking the bin.
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"""
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h = hashlib.sha1()
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h.update(str(seed))
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h.update(str(problem_id))
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# get the first few digits of the hash, convert to an int, then mod.
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return int(h.hexdigest()[:7], 16) % NUM_RANDOMIZATION_BINS
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def only_one(lst, default="", process=lambda x: x):
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"""
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@@ -138,13 +155,9 @@ class CapaModule(XModule):
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if self.rerandomize == 'never':
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self.seed = 1
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elif self.rerandomize == "per_student" and hasattr(self.system, 'id'):
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# TODO: This line is badly broken:
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# (1) We're passing student ID to xmodule.
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# (2) There aren't bins of students. -- we only want 10 or 20 randomizations, and want to assign students
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# to these bins, and may not want cohorts. So e.g. hash(your-id, problem_id) % num_bins.
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# - analytics really needs small number of bins.
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self.seed = system.id
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elif self.rerandomize == "per_student" and hasattr(self.system, 'seed'):
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# see comment on randomization_bin
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self.seed = randomization_bin(system.seed, self.location.url)
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else:
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self.seed = None
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@@ -669,18 +682,18 @@ class CapaDescriptor(RawDescriptor):
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# TODO (vshnayder): do problems have any other metadata? Do they
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# actually use type and points?
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metadata_attributes = RawDescriptor.metadata_attributes + ('type', 'points')
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def get_context(self):
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_context = RawDescriptor.get_context(self)
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_context.update({'markdown': self.metadata.get('markdown', '')})
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return _context
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@property
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def editable_metadata_fields(self):
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"""Remove metadata from the editable fields since it has its own editor"""
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subset = super(CapaDescriptor,self).editable_metadata_fields
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if 'markdown' in subset:
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subset.remove('markdown')
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subset.remove('markdown')
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return subset
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