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edx-platform/lms/djangoapps/instructor_analytics/basic.py

353 lines
15 KiB
Python

"""
Student and course analytics.
Serve miscellaneous course and student data
"""
import json
from shoppingcart.models import (
PaidCourseRegistration, CouponRedemption, Invoice, CourseRegCodeItem,
OrderTypes, RegistrationCodeRedemption, CourseRegistrationCode
)
from django.db.models import Q
from django.contrib.auth.models import User
import xmodule.graders as xmgraders
from django.core.exceptions import ObjectDoesNotExist
STUDENT_FEATURES = ('id', 'username', 'first_name', 'last_name', 'is_staff', 'email')
PROFILE_FEATURES = ('name', 'language', 'location', 'year_of_birth', 'gender',
'level_of_education', 'mailing_address', 'goals', 'meta')
ORDER_ITEM_FEATURES = ('list_price', 'unit_cost', 'status')
ORDER_FEATURES = ('purchase_time',)
SALE_FEATURES = ('total_amount', 'company_name', 'company_contact_name', 'company_contact_email', 'recipient_name',
'recipient_email', 'customer_reference_number', 'internal_reference')
SALE_ORDER_FEATURES = ('id', 'company_name', 'company_contact_name', 'company_contact_email', 'purchase_time',
'customer_reference_number', 'recipient_name', 'recipient_email', 'bill_to_street1',
'bill_to_street2', 'bill_to_city', 'bill_to_state', 'bill_to_postalcode',
'bill_to_country', 'order_type',)
AVAILABLE_FEATURES = STUDENT_FEATURES + PROFILE_FEATURES
COURSE_REGISTRATION_FEATURES = ('code', 'course_id', 'created_by', 'created_at')
COUPON_FEATURES = ('course_id', 'percentage_discount', 'description')
def sale_order_record_features(course_id, features):
"""
Return list of sale orders features as dictionaries.
sales_records(course_id, ['company_name, total_codes', total_amount])
would return [
{'company_name': 'group_A', 'total_codes': '1', total_amount:'total_amount1 in decimal'.}
{'company_name': 'group_B', 'total_codes': '2', total_amount:'total_amount2 in decimal'.}
{'company_name': 'group_C', 'total_codes': '3', total_amount:'total_amount3 in decimal'.}
]
"""
purchased_courses = PaidCourseRegistration.objects.filter(
Q(course_id=course_id),
Q(status='purchased') | Q(status='refunded')
).order_by('order')
purchased_course_reg_codes = CourseRegCodeItem.objects.filter(
Q(course_id=course_id),
Q(status='purchased') | Q(status='refunded')
).order_by('order')
def sale_order_info(purchased_course, features):
"""
convert purchase transactions to dictionary
"""
sale_order_features = [x for x in SALE_ORDER_FEATURES if x in features]
course_reg_features = [x for x in COURSE_REGISTRATION_FEATURES if x in features]
order_item_features = [x for x in ORDER_ITEM_FEATURES if x in features]
# Extracting order information
sale_order_dict = dict((feature, getattr(purchased_course.order, feature))
for feature in sale_order_features)
quantity = int(getattr(purchased_course, 'qty'))
unit_cost = float(getattr(purchased_course, 'unit_cost'))
sale_order_dict.update({"total_amount": quantity * unit_cost})
sale_order_dict.update({"logged_in_username": purchased_course.order.user.username})
sale_order_dict.update({"logged_in_email": purchased_course.order.user.email})
sale_order_dict.update({"total_codes": 'N/A'})
sale_order_dict.update({'total_used_codes': 'N/A'})
# Extracting OrderItem information of unit_cost, list_price and status
order_item_dict = dict((feature, getattr(purchased_course, feature, None))
for feature in order_item_features)
order_item_dict.update({"coupon_code": 'N/A'})
coupon_redemption = CouponRedemption.objects.select_related('coupon').filter(order_id=purchased_course.order_id)
# if coupon is redeemed against the order, update the information in the order_item_dict
if coupon_redemption.exists():
coupon_codes = [redemption.coupon.code for redemption in coupon_redemption]
order_item_dict.update({'coupon_code': ", ".join(coupon_codes)})
sale_order_dict.update(dict(order_item_dict.items()))
if getattr(purchased_course.order, 'order_type') == OrderTypes.BUSINESS:
registration_codes = CourseRegistrationCode.objects.filter(order=purchased_course.order, course_id=course_id)
sale_order_dict.update({"total_codes": registration_codes.count()})
total_used_codes = RegistrationCodeRedemption.objects.filter(registration_code__in=registration_codes).count()
sale_order_dict.update({'total_used_codes': total_used_codes})
codes = [reg_code.code for reg_code in registration_codes]
# Extracting registration code information
obj_course_reg_code = registration_codes.all()[:1].get()
course_reg_dict = dict((feature, getattr(obj_course_reg_code, feature))
for feature in course_reg_features)
course_reg_dict['course_id'] = course_id.to_deprecated_string()
course_reg_dict.update({'codes': ", ".join(codes)})
sale_order_dict.update(dict(course_reg_dict.items()))
return sale_order_dict
csv_data = [sale_order_info(purchased_course, features) for purchased_course in purchased_courses]
csv_data.extend(
[sale_order_info(purchased_course_reg_code, features)
for purchased_course_reg_code in purchased_course_reg_codes]
)
return csv_data
def sale_record_features(course_id, features):
"""
Return list of sales features as dictionaries.
sales_records(course_id, ['company_name, total_codes', total_amount])
would return [
{'company_name': 'group_A', 'total_codes': '1', total_amount:'total_amount1 in decimal'.}
{'company_name': 'group_B', 'total_codes': '2', total_amount:'total_amount2 in decimal'.}
{'company_name': 'group_C', 'total_codes': '3', total_amount:'total_amount3 in decimal'.}
]
"""
sales = Invoice.objects.filter(course_id=course_id)
def sale_records_info(sale, features):
""" convert sales records to dictionary """
sale_features = [x for x in SALE_FEATURES if x in features]
course_reg_features = [x for x in COURSE_REGISTRATION_FEATURES if x in features]
# Extracting sale information
sale_dict = dict((feature, getattr(sale, feature))
for feature in sale_features)
total_used_codes = RegistrationCodeRedemption.objects.filter(
registration_code__in=sale.courseregistrationcode_set.all()
).count()
sale_dict.update({"invoice_number": getattr(sale, 'id')})
sale_dict.update({"total_codes": sale.courseregistrationcode_set.all().count()})
sale_dict.update({'total_used_codes': total_used_codes})
codes = [reg_code.code for reg_code in sale.courseregistrationcode_set.all()]
# Extracting registration code information
obj_course_reg_code = sale.courseregistrationcode_set.all()[:1].get()
course_reg_dict = dict((feature, getattr(obj_course_reg_code, feature))
for feature in course_reg_features)
course_reg_dict['course_id'] = course_id.to_deprecated_string()
course_reg_dict.update({'codes': ", ".join(codes)})
sale_dict.update(dict(course_reg_dict.items()))
return sale_dict
return [sale_records_info(sale, features) for sale in sales]
def enrolled_students_features(course_key, features):
"""
Return list of student features as dictionaries.
enrolled_students_features(course_key, ['username', 'first_name'])
would return [
{'username': 'username1', 'first_name': 'firstname1'}
{'username': 'username2', 'first_name': 'firstname2'}
{'username': 'username3', 'first_name': 'firstname3'}
]
"""
include_cohort_column = 'cohort' in features
students = User.objects.filter(
courseenrollment__course_id=course_key,
courseenrollment__is_active=1,
).order_by('username').select_related('profile')
if include_cohort_column:
students = students.prefetch_related('course_groups')
def extract_student(student, features):
""" convert student to dictionary """
student_features = [x for x in STUDENT_FEATURES if x in features]
profile_features = [x for x in PROFILE_FEATURES if x in features]
# For data extractions on the 'meta' field
# the feature name should be in the format of 'meta.foo' where
# 'foo' is the keyname in the meta dictionary
meta_features = []
for feature in features:
if 'meta.' in feature:
meta_key = feature.split('.')[1]
meta_features.append((feature, meta_key))
student_dict = dict((feature, getattr(student, feature))
for feature in student_features)
profile = student.profile
if profile is not None:
profile_dict = dict((feature, getattr(profile, feature))
for feature in profile_features)
student_dict.update(profile_dict)
# now featch the requested meta fields
meta_dict = json.loads(profile.meta) if profile.meta else {}
for meta_feature, meta_key in meta_features:
student_dict[meta_feature] = meta_dict.get(meta_key)
if include_cohort_column:
# Note that we use student.course_groups.all() here instead of
# student.course_groups.filter(). The latter creates a fresh query,
# therefore negating the performance gain from prefetch_related().
student_dict['cohort'] = next(
(cohort.name for cohort in student.course_groups.all() if cohort.course_id == course_key),
"[unassigned]"
)
return student_dict
return [extract_student(student, features) for student in students]
def coupon_codes_features(features, coupons_list):
"""
Return list of Coupon Codes as dictionaries.
coupon_codes_features
would return [
{'course_id': 'edX/Open_DemoX/edx_demo_course,, 'discount': '213' ..... }
{'course_id': 'edX/Open_DemoX/edx_demo_course,, 'discount': '234' ..... }
]
"""
def extract_coupon(coupon, features):
""" convert coupon_codes to dictionary
:param coupon_codes:
:param features:
"""
coupon_features = [x for x in COUPON_FEATURES if x in features]
coupon_dict = dict((feature, getattr(coupon, feature)) for feature in coupon_features)
coupon_dict['code_redeemed_count'] = coupon.couponredemption_set.all().count()
# we have to capture the redeemed_by value in the case of the downloading and spent registration
# codes csv. In the case of active and generated registration codes the redeemed_by value will be None.
# They have not been redeemed yet
coupon_dict['course_id'] = coupon_dict['course_id'].to_deprecated_string()
return coupon_dict
return [extract_coupon(coupon, features) for coupon in coupons_list]
def course_registration_features(features, registration_codes, csv_type):
"""
Return list of Course Registration Codes as dictionaries.
course_registration_features
would return [
{'code': 'code1', 'course_id': 'edX/Open_DemoX/edx_demo_course, ..... }
{'code': 'code2', 'course_id': 'edX/Open_DemoX/edx_demo_course, ..... }
]
"""
def extract_course_registration(registration_code, features, csv_type):
""" convert registration_code to dictionary
:param registration_code:
:param features:
:param csv_type:
"""
registration_features = [x for x in COURSE_REGISTRATION_FEATURES if x in features]
course_registration_dict = dict((feature, getattr(registration_code, feature)) for feature in registration_features)
course_registration_dict['company_name'] = None
if registration_code.invoice:
course_registration_dict['company_name'] = getattr(registration_code.invoice, 'company_name')
course_registration_dict['redeemed_by'] = None
if registration_code.invoice:
sale_invoice = Invoice.objects.get(id=registration_code.invoice_id)
course_registration_dict['invoice_id'] = sale_invoice.id
course_registration_dict['purchaser'] = sale_invoice.recipient_name
course_registration_dict['customer_reference_number'] = sale_invoice.customer_reference_number
course_registration_dict['internal_reference'] = sale_invoice.internal_reference
# we have to capture the redeemed_by value in the case of the downloading and spent registration
# codes csv. In the case of active and generated registration codes the redeemed_by value will be None.
# They have not been redeemed yet
if csv_type is not None:
try:
redeemed_by = getattr(registration_code.registrationcoderedemption_set.get(registration_code=registration_code), 'redeemed_by')
course_registration_dict['redeemed_by'] = getattr(redeemed_by, 'email')
except ObjectDoesNotExist:
pass
course_registration_dict['course_id'] = course_registration_dict['course_id'].to_deprecated_string()
return course_registration_dict
return [extract_course_registration(code, features, csv_type) for code in registration_codes]
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.sections:
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 = course.grading_context
msg += "graded sections:\n"
msg += '%s\n' % gcontext['graded_sections'].keys()
for (gsomething, gsvals) in gcontext['graded_sections'].items():
msg += "--> Section %s:\n" % (gsomething)
for sec in gsvals:
sdesc = sec['section_descriptor']
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 descriptors:\n"
msg += "length=%d\n" % len(gcontext['all_descriptors'])
msg = '<pre>%s</pre>' % msg.replace('<', '&lt;')
return msg