def _graded_scorable_blocks_to_header(cls, course):
"""
Returns an OrderedDict that maps a scorable block's id to its
headers in the final report.
"""
scorable_blocks_map = OrderedDict()
grading_context = grading_context_for_course(course)
for assignment_type_name, subsection_infos in grading_context[
'all_graded_subsections_by_type'].iteritems():
for subsection_index, subsection_info in enumerate(
subsection_infos, start=1):
for scorable_block in subsection_info['scored_descendants']:
header_name = (
u"{assignment_type} {subsection_index}: "
u"{subsection_name} - {scorable_block_name}").format(
scorable_block_name=scorable_block.display_name,
assignment_type=assignment_type_name,
subsection_index=subsection_index,
subsection_name=subsection_info['subsection_block']
.display_name,
)
scorable_blocks_map[scorable_block.location] = [
header_name + " (Earned)", header_name + " (Possible)"
]
return scorable_blocks_map
def dump_grading_context(course):
"""
Render information about course grading context
(e.g. which problems are graded in what assignments)
Useful for debugging grading_policy.json and policy.json
Returns HTML string
"""
hbar = "{}\n".format("-" * 77)
msg = hbar
msg += "Course grader:\n"
msg += '%s\n' % course.grader.__class__
graders = {}
if isinstance(course.grader, xmgraders.WeightedSubsectionsGrader):
msg += '\n'
msg += "Graded sections:\n"
for subgrader, category, weight in course.grader.subgraders:
msg += " subgrader=%s, type=%s, category=%s, weight=%s\n"\
% (subgrader.__class__, subgrader.type, category, weight)
subgrader.index = 1
graders[subgrader.type] = subgrader
msg += hbar
msg += "Listing grading context for course %s\n" % course.id.to_deprecated_string(
)
gcontext = grading_context_for_course(course.id)
msg += "graded sections:\n"
msg += '%s\n' % gcontext['all_graded_subsections_by_type'].keys()
for (gsomething,
gsvals) in gcontext['all_graded_subsections_by_type'].items():
msg += "--> Section %s:\n" % (gsomething)
for sec in gsvals:
sdesc = sec['subsection_block']
frmat = getattr(sdesc, 'format', None)
aname = ''
if frmat in graders:
gform = graders[frmat]
aname = '%s %02d' % (gform.short_label, gform.index)
gform.index += 1
elif sdesc.display_name in graders:
gform = graders[sdesc.display_name]
aname = '%s' % gform.short_label
notes = ''
if getattr(sdesc, 'score_by_attempt', False):
notes = ', score by attempt!'
msg += " %s (format=%s, Assignment=%s%s)\n"\
% (sdesc.display_name, frmat, aname, notes)
msg += "all graded blocks:\n"
msg += "length=%d\n" % len(gcontext['all_graded_blocks'])
msg = '<pre>%s</pre>' % msg.replace('<', '<')
return msg
def dump_grading_context(course):
"""
Render information about course grading context
(e.g. which problems are graded in what assignments)
Useful for debugging grading_policy.json and policy.json
Returns HTML string
"""
hbar = "{}\n".format("-" * 77)
msg = hbar
msg += "Course grader:\n"
msg += '%s\n' % course.grader.__class__
graders = {}
if isinstance(course.grader, xmgraders.WeightedSubsectionsGrader):
msg += '\n'
msg += "Graded sections:\n"
for subgrader, category, weight in course.grader.subgraders:
msg += " subgrader=%s, type=%s, category=%s, weight=%s\n"\
% (subgrader.__class__, subgrader.type, category, weight)
subgrader.index = 1
graders[subgrader.type] = subgrader
msg += hbar
msg += "Listing grading context for course %s\n" % course.id.to_deprecated_string()
gcontext = grading_context_for_course(course.id)
msg += "graded sections:\n"
msg += '%s\n' % gcontext['all_graded_subsections_by_type'].keys()
for (gsomething, gsvals) in gcontext['all_graded_subsections_by_type'].items():
msg += "--> Section %s:\n" % (gsomething)
for sec in gsvals:
sdesc = sec['subsection_block']
frmat = getattr(sdesc, 'format', None)
aname = ''
if frmat in graders:
gform = graders[frmat]
aname = '%s %02d' % (gform.short_label, gform.index)
gform.index += 1
elif sdesc.display_name in graders:
gform = graders[sdesc.display_name]
aname = '%s' % gform.short_label
notes = ''
if getattr(sdesc, 'score_by_attempt', False):
notes = ', score by attempt!'
msg += " %s (format=%s, Assignment=%s%s)\n"\
% (sdesc.display_name, frmat, aname, notes)
msg += "all graded blocks:\n"
msg += "length=%d\n" % len(gcontext['all_graded_blocks'])
msg = '<pre>%s</pre>' % msg.replace('<', '<')
return msg
def _graded_scorable_blocks_to_header(cls, course):
"""
Returns an OrderedDict that maps a scorable block's id to its
headers in the final report.
"""
scorable_blocks_map = OrderedDict()
grading_context = grading_context_for_course(course)
for assignment_type_name, subsection_infos in grading_context['all_graded_subsections_by_type'].iteritems():
for subsection_index, subsection_info in enumerate(subsection_infos, start=1):
for scorable_block in subsection_info['scored_descendants']:
header_name = (
u"{assignment_type} {subsection_index}: "
u"{subsection_name} - {scorable_block_name}"
).format(
scorable_block_name=scorable_block.display_name,
assignment_type=assignment_type_name,
subsection_index=subsection_index,
subsection_name=subsection_info['subsection_block'].display_name,
)
scorable_blocks_map[scorable_block.location] = [header_name + " (Earned)",
header_name + " (Possible)"]
return scorable_blocks_map
def graded_assignments(self):
"""
Returns an OrderedDict that maps an assignment type to a dict of
subsection-headers and average-header.
"""
grading_context = grading_context_for_course(self.course_id)
graded_assignments_map = OrderedDict()
for assignment_type_name, subsection_infos in grading_context[
'all_graded_subsections_by_type'].iteritems():
graded_subsections_map = OrderedDict()
for subsection_index, subsection_info in enumerate(
subsection_infos, start=1):
subsection = subsection_info['subsection_block']
header_name = u"{assignment_type} {subsection_index}: {subsection_name}".format(
assignment_type=assignment_type_name,
subsection_index=subsection_index,
subsection_name=subsection.display_name,
)
graded_subsections_map[subsection.location] = header_name
average_header = u"{assignment_type}".format(
assignment_type=assignment_type_name)
# Use separate subsection and average columns only if
# there's more than one subsection.
separate_subsection_avg_headers = len(subsection_infos) > 1
if separate_subsection_avg_headers:
average_header += u" (Avg)"
graded_assignments_map[assignment_type_name] = {
'subsection_headers': graded_subsections_map,
'average_header': average_header,
'separate_subsection_avg_headers':
separate_subsection_avg_headers
}
return graded_assignments_map
