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edx-platform
Commit 18433dab by Nimisha Asthagiri
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Refactor Instructor Tasks - in prep for Grade report work

parent 85d05558
Showing with 1958 additions and 1858 deletions
lms/djangoapps/bulk_email/tests/test_err_handling.py
......@@ -17,13 +17,13 @@ from smtplib import SMTPDataError, SMTPServerDisconnected, SMTPConnectError
from bulk_email.models import CourseEmail, SEND_TO_MYSELF, BulkEmailFlag
from bulk_email.tasks import perform_delegate_email_batches, send_course_email
from lms.djangoapps.instructor_task.exceptions import DuplicateTaskException
from lms.djangoapps.instructor_task.models import InstructorTask
from lms.djangoapps.instructor_task.subtasks import (
initialize_subtask_info,
SubtaskStatus,
check_subtask_is_valid,
update_subtask_status,
DuplicateTaskException,
MAX_DATABASE_LOCK_RETRIES,
)
from opaque_keys.edx.locations import SlashSeparatedCourseKey
......
lms/djangoapps/grades/context.py
......@@ -9,7 +9,7 @@ from .scores import possibly_scored
def grading_context_for_course(course_key):
"""
Same as grading_context, but takes in a course object.
Same as grading_context, but takes in a course key.
"""
course_structure = get_course_in_cache(course_key)
return grading_context(course_structure)
......
lms/djangoapps/grades/tests/integration/test_events.py
......@@ -160,7 +160,7 @@ class GradesEventIntegrationTest(ProblemSubmissionTestMixin, SharedModuleStoreTe
}
)
@patch('lms.djangoapps.instructor_task.tasks_helper.tracker')
@patch('lms.djangoapps.instructor_task.tasks_helper.module_state.tracker')
@patch('lms.djangoapps.grades.signals.handlers.tracker')
@patch('lms.djangoapps.grades.models.tracker')
def test_rescoring_events(self, models_tracker, handlers_tracker, instructor_task_tracker):
......
lms/djangoapps/instructor_task/exceptions.py 0 → 100644
"""
Exception classes used by Instructor tasks.
"""
class UpdateProblemModuleStateError(Exception):
"""
Error signaling a fatal condition while updating problem modules.
Used when the current module cannot be processed and no more
modules should be attempted.
"""
pass
class DuplicateTaskException(Exception):
"""Exception indicating that a task already exists or has already completed."""
pass
lms/djangoapps/instructor_task/subtasks.py
......@@ -14,9 +14,12 @@ import dogstats_wrapper as dog_stats_api
from django.db import transaction, DatabaseError
from django.core.cache import cache
from lms.djangoapps.instructor_task.models import InstructorTask, PROGRESS, QUEUING
from util.db import outer_atomic
from .exceptions import DuplicateTaskException
from .models import InstructorTask, PROGRESS, QUEUING
TASK_LOG = logging.getLogger('edx.celery.task')
# Lock expiration should be long enough to allow a subtask to complete.
......@@ -26,11 +29,6 @@ SUBTASK_LOCK_EXPIRE = 60 * 10 # Lock expires in 10 minutes
MAX_DATABASE_LOCK_RETRIES = 5
class DuplicateTaskException(Exception):
"""Exception indicating that a task already exists or has already completed."""
pass
def _get_number_of_subtasks(total_num_items, items_per_task):
"""
Determines number of subtasks that would be generated by _generate_items_for_subtask.
......
lms/djangoapps/instructor_task/tasks.py
......@@ -27,26 +27,34 @@ from django.utils.translation import ugettext_noop
from celery import task
from bulk_email.tasks import perform_delegate_email_batches
from lms.djangoapps.instructor_task.tasks_helper import (
run_main_task,
BaseInstructorTask,
perform_module_state_update,
rescore_problem_module_state,
reset_attempts_module_state,
delete_problem_module_state,
upload_problem_responses_csv,
upload_grades_csv,
upload_problem_grade_report,
upload_students_csv,
cohort_students_and_upload,
from lms.djangoapps.instructor_task.tasks_base import BaseInstructorTask
from lms.djangoapps.instructor_task.tasks_helper.runner import run_main_task
from lms.djangoapps.instructor_task.tasks_helper.certs import (
generate_students_certificates,
)
from lms.djangoapps.instructor_task.tasks_helper.enrollments import (
upload_enrollment_report,
upload_may_enroll_csv,
upload_exec_summary_report,
upload_students_csv,
)
from lms.djangoapps.instructor_task.tasks_helper.grades import (
generate_course_grade_report,
generate_problem_grade_report,
upload_problem_responses_csv,
)
from lms.djangoapps.instructor_task.tasks_helper.misc import (
cohort_students_and_upload,
upload_course_survey_report,
generate_students_certificates,
upload_proctored_exam_results_report,
upload_ora2_data,
)
from lms.djangoapps.instructor_task.tasks_helper.module_state import (
perform_module_state_update,
rescore_problem_module_state,
reset_attempts_module_state,
delete_problem_module_state,
)
TASK_LOG = logging.getLogger('edx.celery.task')
......@@ -168,7 +176,7 @@ def calculate_grades_csv(entry_id, xmodule_instance_args):
xmodule_instance_args.get('task_id'), entry_id, action_name
)
task_fn = partial(upload_grades_csv, xmodule_instance_args)
task_fn = partial(generate_course_grade_report, xmodule_instance_args)
return run_main_task(entry_id, task_fn, action_name)
......@@ -185,7 +193,7 @@ def calculate_problem_grade_report(entry_id, xmodule_instance_args):
xmodule_instance_args.get('task_id'), entry_id, action_name
)
task_fn = partial(upload_problem_grade_report, xmodule_instance_args)
task_fn = partial(generate_problem_grade_report, xmodule_instance_args)
return run_main_task(entry_id, task_fn, action_name)
......
lms/djangoapps/instructor_task/tasks_base.py 0 → 100644
"""
Base class for Instructor celery tasks.
"""
from celery import Task
from celery.states import SUCCESS, FAILURE
import logging
from lms.djangoapps.instructor_task.models import InstructorTask
# define different loggers for use within tasks and on client side
TASK_LOG = logging.getLogger('edx.celery.task')
class BaseInstructorTask(Task):
"""
Base task class for use with InstructorTask models.
Permits updating information about task in corresponding InstructorTask for monitoring purposes.
Assumes that the entry_id of the InstructorTask model is the first argument to the task.
The `entry_id` is the primary key for the InstructorTask entry representing the task. This class
updates the entry on success and failure of the task it wraps. It is setting the entry's value
for task_state based on what Celery would set it to once the task returns to Celery:
FAILURE if an exception is encountered, and SUCCESS if it returns normally.
Other arguments are pass-throughs to perform_module_state_update, and documented there.
"""
abstract = True
def on_success(self, task_progress, task_id, args, kwargs):
"""
Update InstructorTask object corresponding to this task with info about success.
Updates task_output and task_state. But it shouldn't actually do anything
if the task is only creating subtasks to actually do the work.
Assumes `task_progress` is a dict containing the task's result, with the following keys:
'attempted': number of attempts made
'succeeded': number of attempts that "succeeded"
'skipped': number of attempts that "skipped"
'failed': number of attempts that "failed"
'total': number of possible subtasks to attempt
'action_name': user-visible verb to use in status messages. Should be past-tense.
Pass-through of input `action_name`.
'duration_ms': how long the task has (or had) been running.
This is JSON-serialized and stored in the task_output column of the InstructorTask entry.
"""
TASK_LOG.debug('Task %s: success returned with progress: %s', task_id, task_progress)
# We should be able to find the InstructorTask object to update
# based on the task_id here, without having to dig into the
# original args to the task. On the other hand, the entry_id
# is the first value passed to all such args, so we'll use that.
# And we assume that it exists, else we would already have had a failure.
entry_id = args[0]
entry = InstructorTask.objects.get(pk=entry_id)
# Check to see if any subtasks had been defined as part of this task.
# If not, then we know that we're done. (If so, let the subtasks
# handle updating task_state themselves.)
if len(entry.subtasks) == 0:
entry.task_output = InstructorTask.create_output_for_success(task_progress)
entry.task_state = SUCCESS
entry.save_now()
def on_failure(self, exc, task_id, args, kwargs, einfo):
"""
Update InstructorTask object corresponding to this task with info about failure.
Fetches and updates exception and traceback information on failure.
If an exception is raised internal to the task, it is caught by celery and provided here.
The information is recorded in the InstructorTask object as a JSON-serialized dict
stored in the task_output column. It contains the following keys:
'exception': type of exception object
'message': error message from exception object
'traceback': traceback information (truncated if necessary)
Note that there is no way to record progress made within the task (e.g. attempted,
succeeded, etc.) when such failures occur.
"""
TASK_LOG.debug(u'Task %s: failure returned', task_id)
entry_id = args[0]
try:
entry = InstructorTask.objects.get(pk=entry_id)
except InstructorTask.DoesNotExist:
# if the InstructorTask object does not exist, then there's no point
# trying to update it.
TASK_LOG.error(u"Task (%s) has no InstructorTask object for id %s", task_id, entry_id)
else:
TASK_LOG.warning(u"Task (%s) failed", task_id, exc_info=True)
entry.task_output = InstructorTask.create_output_for_failure(einfo.exception, einfo.traceback)
entry.task_state = FAILURE
entry.save_now()
lms/djangoapps/instructor_task/tasks_helper.py deleted 100644 → 0
"""
This file contains tasks that are designed to perform background operations on the
running state of a course.
"""
import json
import logging
from StringIO import StringIO
from collections import OrderedDict
from datetime import datetime
from itertools import chain
from time import time
import dogstats_wrapper as dog_stats_api
import re
import unicodecsv
from celery import Task, current_task
from celery.states import SUCCESS, FAILURE
from django.conf import settings
from django.contrib.auth.models import User
from django.core.files.storage import DefaultStorage
from django.db import reset_queries
from django.db.models import Q
from django.utils.translation import ugettext as _
from eventtracking import tracker
from lms.djangoapps.grades.scores import weighted_score
from lms.djangoapps.instructor.paidcourse_enrollment_report import PaidCourseEnrollmentReportProvider
from lms.djangoapps.teams.models import CourseTeamMembership
from lms.djangoapps.verify_student.models import SoftwareSecurePhotoVerification
from pytz import UTC
from track import contexts
from xmodule.modulestore.django import modulestore
from xmodule.partitions.partitions_service import PartitionService
from xmodule.split_test_module import get_split_user_partitions
from certificates.api import generate_user_certificates
from certificates.models import (
CertificateWhitelist,
certificate_info_for_user,
CertificateStatuses,
GeneratedCertificate
)
from courseware.courses import get_course_by_id, get_problems_in_section
from lms.djangoapps.grades.context import grading_context_for_course
from lms.djangoapps.grades.new.course_grade_factory import CourseGradeFactory
from courseware.model_data import DjangoKeyValueStore, FieldDataCache
from courseware.models import StudentModule
from courseware.module_render import get_module_for_descriptor_internal
from edxmako.shortcuts import render_to_string
from instructor_analytics.basic import (
enrolled_students_features,
get_proctored_exam_results,
list_may_enroll,
list_problem_responses
)
from instructor_analytics.csvs import format_dictlist
from shoppingcart.models import (
PaidCourseRegistration, CourseRegCodeItem, InvoiceTransaction,
Invoice, CouponRedemption, RegistrationCodeRedemption, CourseRegistrationCode
)
from openassessment.data import OraAggregateData
from lms.djangoapps.instructor_task.models import ReportStore, InstructorTask, PROGRESS
from openedx.core.djangoapps.course_groups.cohorts import get_cohort
from openedx.core.djangoapps.course_groups.models import CourseUserGroup
from opaque_keys.edx.keys import UsageKey
from openedx.core.djangoapps.course_groups.cohorts import add_user_to_cohort, is_course_cohorted
from student.models import CourseEnrollment, CourseAccessRole
from survey.models import SurveyAnswer
from track.event_transaction_utils import set_event_transaction_type, create_new_event_transaction_id
from track.views import task_track
from util.db import outer_atomic
from util.file import course_filename_prefix_generator, UniversalNewlineIterator
from xblock.runtime import KvsFieldData
# define different loggers for use within tasks and on client side
TASK_LOG = logging.getLogger('edx.celery.task')
# define value to use when no task_id is provided:
UNKNOWN_TASK_ID = 'unknown-task_id'
FILTERED_OUT_ROLES = ['staff', 'instructor', 'finance_admin', 'sales_admin']
# define values for update functions to use to return status to perform_module_state_update
UPDATE_STATUS_SUCCEEDED = 'succeeded'
UPDATE_STATUS_FAILED = 'failed'
UPDATE_STATUS_SKIPPED = 'skipped'
# define value to be used in grading events
GRADES_RESCORE_EVENT_TYPE = 'edx.grades.problem.rescored'
# The setting name used for events when "settings" (account settings, preferences, profile information) change.
REPORT_REQUESTED_EVENT_NAME = u'edx.instructor.report.requested'
class BaseInstructorTask(Task):
"""
Base task class for use with InstructorTask models.
Permits updating information about task in corresponding InstructorTask for monitoring purposes.
Assumes that the entry_id of the InstructorTask model is the first argument to the task.
The `entry_id` is the primary key for the InstructorTask entry representing the task. This class
updates the entry on success and failure of the task it wraps. It is setting the entry's value
for task_state based on what Celery would set it to once the task returns to Celery:
FAILURE if an exception is encountered, and SUCCESS if it returns normally.
Other arguments are pass-throughs to perform_module_state_update, and documented there.
"""
abstract = True
def on_success(self, task_progress, task_id, args, kwargs):
"""
Update InstructorTask object corresponding to this task with info about success.
Updates task_output and task_state. But it shouldn't actually do anything
if the task is only creating subtasks to actually do the work.
Assumes `task_progress` is a dict containing the task's result, with the following keys:
'attempted': number of attempts made
'succeeded': number of attempts that "succeeded"
'skipped': number of attempts that "skipped"
'failed': number of attempts that "failed"
'total': number of possible subtasks to attempt
'action_name': user-visible verb to use in status messages. Should be past-tense.
Pass-through of input `action_name`.
'duration_ms': how long the task has (or had) been running.
This is JSON-serialized and stored in the task_output column of the InstructorTask entry.
"""
TASK_LOG.debug('Task %s: success returned with progress: %s', task_id, task_progress)
# We should be able to find the InstructorTask object to update
# based on the task_id here, without having to dig into the
# original args to the task. On the other hand, the entry_id
# is the first value passed to all such args, so we'll use that.
# And we assume that it exists, else we would already have had a failure.
entry_id = args[0]
entry = InstructorTask.objects.get(pk=entry_id)
# Check to see if any subtasks had been defined as part of this task.
# If not, then we know that we're done. (If so, let the subtasks
# handle updating task_state themselves.)
if len(entry.subtasks) == 0:
entry.task_output = InstructorTask.create_output_for_success(task_progress)
entry.task_state = SUCCESS
entry.save_now()
def on_failure(self, exc, task_id, args, kwargs, einfo):
"""
Update InstructorTask object corresponding to this task with info about failure.
Fetches and updates exception and traceback information on failure.
If an exception is raised internal to the task, it is caught by celery and provided here.
The information is recorded in the InstructorTask object as a JSON-serialized dict
stored in the task_output column. It contains the following keys:
'exception': type of exception object
'message': error message from exception object
'traceback': traceback information (truncated if necessary)
Note that there is no way to record progress made within the task (e.g. attempted,
succeeded, etc.) when such failures occur.
"""
TASK_LOG.debug(u'Task %s: failure returned', task_id)
entry_id = args[0]
try:
entry = InstructorTask.objects.get(pk=entry_id)
except InstructorTask.DoesNotExist:
# if the InstructorTask object does not exist, then there's no point
# trying to update it.
TASK_LOG.error(u"Task (%s) has no InstructorTask object for id %s", task_id, entry_id)
else:
TASK_LOG.warning(u"Task (%s) failed", task_id, exc_info=True)
entry.task_output = InstructorTask.create_output_for_failure(einfo.exception, einfo.traceback)
entry.task_state = FAILURE
entry.save_now()
class UpdateProblemModuleStateError(Exception):
"""
Error signaling a fatal condition while updating problem modules.
Used when the current module cannot be processed and no more
modules should be attempted.
"""
pass
def _get_current_task():
"""
Stub to make it easier to test without actually running Celery.
This is a wrapper around celery.current_task, which provides access
to the top of the stack of Celery's tasks. When running tests, however,
it doesn't seem to work to mock current_task directly, so this wrapper
is used to provide a hook to mock in tests, while providing the real
`current_task` in production.
"""
return current_task
class TaskProgress(object):
"""
Encapsulates the current task's progress by keeping track of
'attempted', 'succeeded', 'skipped', 'failed', 'total',
'action_name', and 'duration_ms' values.
"""
def __init__(self, action_name, total, start_time):
self.action_name = action_name
self.total = total
self.start_time = start_time
self.attempted = 0
self.succeeded = 0
self.skipped = 0
self.failed = 0
def update_task_state(self, extra_meta=None):
"""
Update the current celery task's state to the progress state
specified by the current object. Returns the progress
dictionary for use by `run_main_task` and
`BaseInstructorTask.on_success`.
Arguments:
extra_meta (dict): Extra metadata to pass to `update_state`
Returns:
dict: The current task's progress dict
"""
progress_dict = {
'action_name': self.action_name,
'attempted': self.attempted,
'succeeded': self.succeeded,
'skipped': self.skipped,
'failed': self.failed,
'total': self.total,
'duration_ms': int((time() - self.start_time) * 1000),
}
if extra_meta is not None:
progress_dict.update(extra_meta)
_get_current_task().update_state(state=PROGRESS, meta=progress_dict)
return progress_dict
def run_main_task(entry_id, task_fcn, action_name):
"""
Applies the `task_fcn` to the arguments defined in `entry_id` InstructorTask.
Arguments passed to `task_fcn` are:
`entry_id` : the primary key for the InstructorTask entry representing the task.
`course_id` : the id for the course.
`task_input` : dict containing task-specific arguments, JSON-decoded from InstructorTask's task_input.
`action_name` : past-tense verb to use for constructing status messages.
If no exceptions are raised, the `task_fcn` should return a dict containing
the task's result with the following keys:
'attempted': number of attempts made
'succeeded': number of attempts that "succeeded"
'skipped': number of attempts that "skipped"
'failed': number of attempts that "failed"
'total': number of possible subtasks to attempt
'action_name': user-visible verb to use in status messages.
Should be past-tense. Pass-through of input `action_name`.
'duration_ms': how long the task has (or had) been running.
"""
# Get the InstructorTask to be updated. If this fails then let the exception return to Celery.
# There's no point in catching it here.
with outer_atomic():
entry = InstructorTask.objects.get(pk=entry_id)
entry.task_state = PROGRESS
entry.save_now()
# Get inputs to use in this task from the entry
task_id = entry.task_id
course_id = entry.course_id
task_input = json.loads(entry.task_input)
# Construct log message
fmt = u'Task: {task_id}, InstructorTask ID: {entry_id}, Course: {course_id}, Input: {task_input}'
task_info_string = fmt.format(task_id=task_id, entry_id=entry_id, course_id=course_id, task_input=task_input)
TASK_LOG.info(u'%s, Starting update (nothing %s yet)', task_info_string, action_name)
# Check that the task_id submitted in the InstructorTask matches the current task
# that is running.
request_task_id = _get_current_task().request.id
if task_id != request_task_id:
fmt = u'{task_info}, Requested task did not match actual task "{actual_id}"'
message = fmt.format(task_info=task_info_string, actual_id=request_task_id)
TASK_LOG.error(message)
raise ValueError(message)
# Now do the work
with dog_stats_api.timer('instructor_tasks.time.overall', tags=[u'action:{name}'.format(name=action_name)]):
task_progress = task_fcn(entry_id, course_id, task_input, action_name)
# Release any queries that the connection has been hanging onto
reset_queries()
# Log and exit, returning task_progress info as task result
TASK_LOG.info(u'%s, Task type: %s, Finishing task: %s', task_info_string, action_name, task_progress)
return task_progress
def perform_module_state_update(update_fcn, filter_fcn, _entry_id, course_id, task_input, action_name):
"""
Performs generic update by visiting StudentModule instances with the update_fcn provided.
StudentModule instances are those that match the specified `course_id` and `module_state_key`.
If `student_identifier` is not None, it is used as an additional filter to limit the modules to those belonging
to that student. If `student_identifier` is None, performs update on modules for all students on the specified
problem.
If a `filter_fcn` is not None, it is applied to the query that has been constructed. It takes one
argument, which is the query being filtered, and returns the filtered version of the query.
The `update_fcn` is called on each StudentModule that passes the resulting filtering.
It is passed four arguments: the module_descriptor for the module pointed to by the
module_state_key, the particular StudentModule to update, the xmodule_instance_args, and the task_input
being passed through. If the value returned by the update function evaluates to a boolean True,
the update is successful; False indicates the update on the particular student module failed.
A raised exception indicates a fatal condition -- that no other student modules should be considered.
The return value is a dict containing the task's results, with the following keys:
'attempted': number of attempts made
'succeeded': number of attempts that "succeeded"
'skipped': number of attempts that "skipped"
'failed': number of attempts that "failed"
'total': number of possible updates to attempt
'action_name': user-visible verb to use in status messages. Should be past-tense.
Pass-through of input `action_name`.
'duration_ms': how long the task has (or had) been running.
Because this is run internal to a task, it does not catch exceptions. These are allowed to pass up to the
next level, so that it can set the failure modes and capture the error trace in the InstructorTask and the
result object.
"""
start_time = time()
usage_keys = []
problem_url = task_input.get('problem_url')
entrance_exam_url = task_input.get('entrance_exam_url')
student_identifier = task_input.get('student')
problems = {}
# if problem_url is present make a usage key from it
if problem_url:
usage_key = course_id.make_usage_key_from_deprecated_string(problem_url)
usage_keys.append(usage_key)
# find the problem descriptor:
problem_descriptor = modulestore().get_item(usage_key)
problems[unicode(usage_key)] = problem_descriptor
# if entrance_exam is present grab all problems in it
if entrance_exam_url:
problems = get_problems_in_section(entrance_exam_url)
usage_keys = [UsageKey.from_string(location) for location in problems.keys()]
# find the modules in question
modules_to_update = StudentModule.objects.filter(course_id=course_id, module_state_key__in=usage_keys)
# give the option of updating an individual student. If not specified,
# then updates all students who have responded to a problem so far
student = None
if student_identifier is not None:
# if an identifier is supplied, then look for the student,
# and let it throw an exception if none is found.
if "@" in student_identifier:
student = User.objects.get(email=student_identifier)
elif student_identifier is not None:
student = User.objects.get(username=student_identifier)
if student is not None:
modules_to_update = modules_to_update.filter(student_id=student.id)
if filter_fcn is not None:
modules_to_update = filter_fcn(modules_to_update)
task_progress = TaskProgress(action_name, modules_to_update.count(), start_time)
task_progress.update_task_state()
for module_to_update in modules_to_update:
task_progress.attempted += 1
module_descriptor = problems[unicode(module_to_update.module_state_key)]
# There is no try here: if there's an error, we let it throw, and the task will
# be marked as FAILED, with a stack trace.
with dog_stats_api.timer('instructor_tasks.module.time.step', tags=[u'action:{name}'.format(name=action_name)]):
update_status = update_fcn(module_descriptor, module_to_update, task_input)
if update_status == UPDATE_STATUS_SUCCEEDED:
# If the update_fcn returns true, then it performed some kind of work.
# Logging of failures is left to the update_fcn itself.
task_progress.succeeded += 1
elif update_status == UPDATE_STATUS_FAILED:
task_progress.failed += 1
elif update_status == UPDATE_STATUS_SKIPPED:
task_progress.skipped += 1
else:
raise UpdateProblemModuleStateError("Unexpected update_status returned: {}".format(update_status))
return task_progress.update_task_state()
def _get_task_id_from_xmodule_args(xmodule_instance_args):
"""Gets task_id from `xmodule_instance_args` dict, or returns default value if missing."""
if xmodule_instance_args is None:
return UNKNOWN_TASK_ID
else:
return xmodule_instance_args.get('task_id', UNKNOWN_TASK_ID)
def _get_xqueue_callback_url_prefix(xmodule_instance_args):
"""Gets prefix to use when constructing xqueue_callback_url."""
if xmodule_instance_args is None:
return ''
else:
return xmodule_instance_args.get('xqueue_callback_url_prefix', '')
def _get_track_function_for_task(student, xmodule_instance_args=None, source_page='x_module_task'):
"""
Make a tracking function that logs what happened.
For insertion into ModuleSystem, and used by CapaModule, which will
provide the event_type (as string) and event (as dict) as arguments.
The request_info and task_info (and page) are provided here.
"""
# get request-related tracking information from args passthrough, and supplement with task-specific
# information:
request_info = xmodule_instance_args.get('request_info', {}) if xmodule_instance_args is not None else {}
task_info = {'student': student.username, 'task_id': _get_task_id_from_xmodule_args(xmodule_instance_args)}
return lambda event_type, event: task_track(request_info, task_info, event_type, event, page=source_page)
def _get_module_instance_for_task(course_id, student, module_descriptor, xmodule_instance_args=None,
grade_bucket_type=None, course=None):
"""
Fetches a StudentModule instance for a given `course_id`, `student` object, and `module_descriptor`.
`xmodule_instance_args` is used to provide information for creating a track function and an XQueue callback.
These are passed, along with `grade_bucket_type`, to get_module_for_descriptor_internal, which sidesteps
the need for a Request object when instantiating an xmodule instance.
"""
# reconstitute the problem's corresponding XModule:
field_data_cache = FieldDataCache.cache_for_descriptor_descendents(course_id, student, module_descriptor)
student_data = KvsFieldData(DjangoKeyValueStore(field_data_cache))
# get request-related tracking information from args passthrough, and supplement with task-specific
# information:
request_info = xmodule_instance_args.get('request_info', {}) if xmodule_instance_args is not None else {}
task_info = {"student": student.username, "task_id": _get_task_id_from_xmodule_args(xmodule_instance_args)}
def make_track_function():
'''
Make a tracking function that logs what happened.
For insertion into ModuleSystem, and used by CapaModule, which will
provide the event_type (as string) and event (as dict) as arguments.
The request_info and task_info (and page) are provided here.
'''
return lambda event_type, event: task_track(request_info, task_info, event_type, event, page='x_module_task')
xqueue_callback_url_prefix = xmodule_instance_args.get('xqueue_callback_url_prefix', '') \
if xmodule_instance_args is not None else ''
return get_module_for_descriptor_internal(
user=student,
descriptor=module_descriptor,
student_data=student_data,
course_id=course_id,
track_function=make_track_function(),
xqueue_callback_url_prefix=xqueue_callback_url_prefix,
grade_bucket_type=grade_bucket_type,
# This module isn't being used for front-end rendering
request_token=None,
# pass in a loaded course for override enabling
course=course
)
@outer_atomic
def rescore_problem_module_state(xmodule_instance_args, module_descriptor, student_module, task_input):
'''
Takes an XModule descriptor and a corresponding StudentModule object, and
performs rescoring on the student's problem submission.
Throws exceptions if the rescoring is fatal and should be aborted if in a loop.
In particular, raises UpdateProblemModuleStateError if module fails to instantiate,
or if the module doesn't support rescoring.
Returns True if problem was successfully rescored for the given student, and False
if problem encountered some kind of error in rescoring.
'''
# unpack the StudentModule:
course_id = student_module.course_id
student = student_module.student
usage_key = student_module.module_state_key
with modulestore().bulk_operations(course_id):
course = get_course_by_id(course_id)
# TODO: Here is a call site where we could pass in a loaded course. I
# think we certainly need it since grading is happening here, and field
# overrides would be important in handling that correctly
instance = _get_module_instance_for_task(
course_id,
student,
module_descriptor,
xmodule_instance_args,
grade_bucket_type='rescore',
course=course
)
if instance is None:
# Either permissions just changed, or someone is trying to be clever
# and load something they shouldn't have access to.
msg = "No module {loc} for student {student}--access denied?".format(
loc=usage_key,
student=student
)
TASK_LOG.warning(msg)
return UPDATE_STATUS_FAILED
# TODO: (TNL-6594) Remove this switch once rescore_problem support
# once CAPA uses ScorableXBlockMixin.
for method in ['rescore', 'rescore_problem']:
rescore_method = getattr(instance, method, None)
if rescore_method is not None:
break
else: # for-else: Neither method exists on the block.
# This should not happen, since it should be already checked in the
# caller, but check here to be sure.
msg = "Specified problem does not support rescoring."
raise UpdateProblemModuleStateError(msg)
# TODO: Remove the first part of this if-else with TNL-6594
# We check here to see if the problem has any submissions. If it does not, we don't want to rescore it
if hasattr(instance, "done"):
if not instance.done:
return UPDATE_STATUS_SKIPPED
elif not instance.has_submitted_answer():
return UPDATE_STATUS_SKIPPED
# Set the tracking info before this call, because it makes downstream
# calls that create events. We retrieve and store the id here because
# the request cache will be erased during downstream calls.
event_transaction_id = create_new_event_transaction_id()
set_event_transaction_type(GRADES_RESCORE_EVENT_TYPE)
result = rescore_method(only_if_higher=task_input['only_if_higher'])
instance.save()
if result is None or result.get(u'success') in {u'correct', u'incorrect'}:
TASK_LOG.debug(
u"successfully processed rescore call for course %(course)s, problem %(loc)s "
u"and student %(student)s",
dict(
course=course_id,
loc=usage_key,
student=student
)
)
if result is not None: # Only for CAPA. This will get moved to the grade handler.
new_weighted_earned, new_weighted_possible = weighted_score(
result['new_raw_earned'] if result else None,
result['new_raw_possible'] if result else None,
module_descriptor.weight,
)
# TODO: remove this context manager after completion of AN-6134
context = contexts.course_context_from_course_id(course_id)
with tracker.get_tracker().context(GRADES_RESCORE_EVENT_TYPE, context):
tracker.emit(
unicode(GRADES_RESCORE_EVENT_TYPE),
{
'course_id': unicode(course_id),
'user_id': unicode(student.id),
'problem_id': unicode(usage_key),
'new_weighted_earned': new_weighted_earned,
'new_weighted_possible': new_weighted_possible,
'only_if_higher': task_input['only_if_higher'],
'instructor_id': unicode(xmodule_instance_args['request_info']['user_id']),
'event_transaction_id': unicode(event_transaction_id),
'event_transaction_type': unicode(GRADES_RESCORE_EVENT_TYPE),
}
)
return UPDATE_STATUS_SUCCEEDED
else:
TASK_LOG.warning(
u"error processing rescore call for course %(course)s, problem %(loc)s "
u"and student %(student)s: %(msg)s",
dict(
msg=result.get('success', result),
course=course_id,
loc=usage_key,
student=student
)
)
return UPDATE_STATUS_FAILED
@outer_atomic
def reset_attempts_module_state(xmodule_instance_args, _module_descriptor, student_module, _task_input):
"""
Resets problem attempts to zero for specified `student_module`.
Returns a status of UPDATE_STATUS_SUCCEEDED if a problem has non-zero attempts
that are being reset, and UPDATE_STATUS_SKIPPED otherwise.
"""
update_status = UPDATE_STATUS_SKIPPED
problem_state = json.loads(student_module.state) if student_module.state else {}
if 'attempts' in problem_state:
old_number_of_attempts = problem_state["attempts"]
if old_number_of_attempts > 0:
problem_state["attempts"] = 0
# convert back to json and save
student_module.state = json.dumps(problem_state)
student_module.save()
# get request-related tracking information from args passthrough,
# and supplement with task-specific information:
track_function = _get_track_function_for_task(student_module.student, xmodule_instance_args)
event_info = {"old_attempts": old_number_of_attempts, "new_attempts": 0}
track_function('problem_reset_attempts', event_info)
update_status = UPDATE_STATUS_SUCCEEDED
return update_status
@outer_atomic
def delete_problem_module_state(xmodule_instance_args, _module_descriptor, student_module, _task_input):
"""
Delete the StudentModule entry.
Always returns UPDATE_STATUS_SUCCEEDED, indicating success, if it doesn't raise an exception due to database error.
"""
student_module.delete()
# get request-related tracking information from args passthrough,
# and supplement with task-specific information:
track_function = _get_track_function_for_task(student_module.student, xmodule_instance_args)
track_function('problem_delete_state', {})
return UPDATE_STATUS_SUCCEEDED
def upload_csv_to_report_store(rows, csv_name, course_id, timestamp, config_name='GRADES_DOWNLOAD'):
"""
Upload data as a CSV using ReportStore.
Arguments:
rows: CSV data in the following format (first column may be a
header):
[
[row1_colum1, row1_colum2, ...],
...
]
csv_name: Name of the resulting CSV
course_id: ID of the course
"""
report_store = ReportStore.from_config(config_name)
report_store.store_rows(
course_id,
u"{course_prefix}_{csv_name}_{timestamp_str}.csv".format(
course_prefix=course_filename_prefix_generator(course_id),
csv_name=csv_name,
timestamp_str=timestamp.strftime("%Y-%m-%d-%H%M")
),
rows
)
tracker.emit(REPORT_REQUESTED_EVENT_NAME, {"report_type": csv_name, })
def upload_exec_summary_to_store(data_dict, report_name, course_id, generated_at, config_name='FINANCIAL_REPORTS'):
"""
Upload Executive Summary Html file using ReportStore.
Arguments:
data_dict: containing executive report data.
report_name: Name of the resulting Html File.
course_id: ID of the course
"""
report_store = ReportStore.from_config(config_name)
# Use the data dict and html template to generate the output buffer
output_buffer = StringIO(render_to_string("instructor/instructor_dashboard_2/executive_summary.html", data_dict))
report_store.store(
course_id,
u"{course_prefix}_{report_name}_{timestamp_str}.html".format(
course_prefix=course_filename_prefix_generator(course_id),
report_name=report_name,
timestamp_str=generated_at.strftime("%Y-%m-%d-%H%M")
),
output_buffer,
)
tracker.emit(REPORT_REQUESTED_EVENT_NAME, {"report_type": report_name})
def upload_grades_csv(_xmodule_instance_args, _entry_id, course_id, _task_input, action_name): # pylint: disable=too-many-statements
"""
For a given `course_id`, generate a grades CSV file for all students that
are enrolled, and store using a `ReportStore`. Once created, the files can
be accessed by instantiating another `ReportStore` (via
`ReportStore.from_config()`) and calling `link_for()` on it. Writes are
buffered, so we'll never write part of a CSV file to S3 -- i.e. any files
that are visible in ReportStore will be complete ones.
As we start to add more CSV downloads, it will probably be worthwhile to
make a more general CSVDoc class instead of building out the rows like we
do here.
"""
start_time = time()
start_date = datetime.now(UTC)
status_interval = 100
enrolled_students = CourseEnrollment.objects.users_enrolled_in(course_id)
total_enrolled_students = enrolled_students.count()
task_progress = TaskProgress(action_name, total_enrolled_students, start_time)
fmt = u'Task: {task_id}, InstructorTask ID: {entry_id}, Course: {course_id}, Input: {task_input}'
task_info_string = fmt.format(
task_id=_xmodule_instance_args.get('task_id') if _xmodule_instance_args is not None else None,
entry_id=_entry_id,
course_id=course_id,
task_input=_task_input
)
TASK_LOG.info(u'%s, Task type: %s, Starting task execution', task_info_string, action_name)
course = get_course_by_id(course_id)
course_is_cohorted = is_course_cohorted(course.id)
teams_enabled = course.teams_enabled
cohorts_header = ['Cohort Name'] if course_is_cohorted else []
teams_header = ['Team Name'] if teams_enabled else []
experiment_partitions = get_split_user_partitions(course.user_partitions)
group_configs_header = [u'Experiment Group ({})'.format(partition.name) for partition in experiment_partitions]
certificate_info_header = ['Certificate Eligible', 'Certificate Delivered', 'Certificate Type']
certificate_whitelist = CertificateWhitelist.objects.filter(course_id=course_id, whitelist=True)
whitelisted_user_ids = [entry.user_id for entry in certificate_whitelist]
# Loop over all our students and build our CSV lists in memory
rows = []
err_rows = [["id", "username", "error_msg"]]
current_step = {'step': 'Calculating Grades'}
student_counter = 0
TASK_LOG.info(
u'%s, Task type: %s, Current step: %s, Starting grade calculation for total students: %s',
task_info_string,
action_name,
current_step,
total_enrolled_students,
)
graded_assignments = _graded_assignments(course_id)
grade_header = []
for assignment_info in graded_assignments.itervalues():
if assignment_info['use_subsection_headers']:
grade_header.extend(assignment_info['subsection_headers'].itervalues())
grade_header.append(assignment_info['average_header'])
rows.append(
["Student ID", "Email", "Username", "Grade"] +
grade_header +
cohorts_header +
group_configs_header +
teams_header +
['Enrollment Track', 'Verification Status'] +
certificate_info_header
)
for student, course_grade, err_msg in CourseGradeFactory().iter(course, enrolled_students):
# Periodically update task status (this is a cache write)
if task_progress.attempted % status_interval == 0:
task_progress.update_task_state(extra_meta=current_step)
task_progress.attempted += 1
# Now add a log entry after each student is graded to get a sense
# of the task's progress
student_counter += 1
TASK_LOG.info(
u'%s, Task type: %s, Current step: %s, Grade calculation in-progress for students: %s/%s',
task_info_string,
action_name,
current_step,
student_counter,
total_enrolled_students
)
if not course_grade:
# An empty gradeset means we failed to grade a student.
task_progress.failed += 1
err_rows.append([student.id, student.username, err_msg])
continue
# We were able to successfully grade this student for this course.
task_progress.succeeded += 1
cohorts_group_name = []
if course_is_cohorted:
group = get_cohort(student, course_id, assign=False)
cohorts_group_name.append(group.name if group else '')
group_configs_group_names = []
for partition in experiment_partitions:
group = PartitionService(course_id).get_group(student, partition, assign=False)
group_configs_group_names.append(group.name if group else '')
team_name = []
if teams_enabled:
try:
membership = CourseTeamMembership.objects.get(user=student, team__course_id=course_id)
team_name.append(membership.team.name)
except CourseTeamMembership.DoesNotExist:
team_name.append('')
enrollment_mode = CourseEnrollment.enrollment_mode_for_user(student, course_id)[0]
verification_status = SoftwareSecurePhotoVerification.verification_status_for_user(
student,
course_id,
enrollment_mode
)
certificate_info = certificate_info_for_user(
student,
course_id,
course_grade.letter_grade,
student.id in whitelisted_user_ids
)
TASK_LOG.info(
u'Student certificate eligibility: %s '
u'(user=%s, course_id=%s, grade_percent=%s letter_grade=%s gradecutoffs=%s, allow_certificate=%s, '
u'is_whitelisted=%s)',
certificate_info[0],
student,
course_id,
course_grade.percent,
course_grade.letter_grade,
course.grade_cutoffs,
student.profile.allow_certificate,
student.id in whitelisted_user_ids
)
grade_results = []
for assignment_type, assignment_info in graded_assignments.iteritems():
for subsection_location in assignment_info['subsection_headers']:
try:
subsection_grade = course_grade.graded_subsections_by_format[assignment_type][subsection_location]
except KeyError:
grade_results.append([u'Not Available'])
else:
if subsection_grade.graded_total.first_attempted is not None:
grade_results.append(
[subsection_grade.graded_total.earned / subsection_grade.graded_total.possible]
)
else:
grade_results.append([u'Not Attempted'])
if assignment_info['use_subsection_headers']:
assignment_average = course_grade.grader_result['grade_breakdown'].get(assignment_type, {}).get(
'percent'
)
grade_results.append([assignment_average])
grade_results = list(chain.from_iterable(grade_results))
rows.append(
[student.id, student.email, student.username, course_grade.percent] +
grade_results + cohorts_group_name + group_configs_group_names + team_name +
[enrollment_mode] + [verification_status] + certificate_info
)
TASK_LOG.info(
u'%s, Task type: %s, Current step: %s, Grade calculation completed for students: %s/%s',
task_info_string,
action_name,
current_step,
student_counter,
total_enrolled_students
)
# By this point, we've got the rows we're going to stuff into our CSV files.
current_step = {'step': 'Uploading CSVs'}
task_progress.update_task_state(extra_meta=current_step)
TASK_LOG.info(u'%s, Task type: %s, Current step: %s', task_info_string, action_name, current_step)
# Perform the actual upload
upload_csv_to_report_store(rows, 'grade_report', course_id, start_date)
# If there are any error rows (don't count the header), write them out as well
if len(err_rows) > 1:
upload_csv_to_report_store(err_rows, 'grade_report_err', course_id, start_date)
# One last update before we close out...
TASK_LOG.info(u'%s, Task type: %s, Finalizing grade task', task_info_string, action_name)
return task_progress.update_task_state(extra_meta=current_step)
def _graded_assignments(course_key):
"""
Returns an OrderedDict that maps an assignment type to a dict of subsection-headers and average-header.
"""
grading_context = grading_context_for_course(course_key)
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.
use_subsection_headers = len(subsection_infos) > 1
if use_subsection_headers:
average_header += u" (Avg)"
graded_assignments_map[assignment_type_name] = {
'subsection_headers': graded_subsections_map,
'average_header': average_header,
'use_subsection_headers': use_subsection_headers
}
return graded_assignments_map
def _graded_scorable_blocks_to_header(course_key):
"""
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_key)
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 upload_problem_responses_csv(_xmodule_instance_args, _entry_id, course_id, task_input, action_name):
"""
For a given `course_id`, generate a CSV file containing
all student answers to a given problem, and store using a `ReportStore`.
"""
start_time = time()
start_date = datetime.now(UTC)
num_reports = 1
task_progress = TaskProgress(action_name, num_reports, start_time)
current_step = {'step': 'Calculating students answers to problem'}
task_progress.update_task_state(extra_meta=current_step)
# Compute result table and format it
problem_location = task_input.get('problem_location')
student_data = list_problem_responses(course_id, problem_location)
features = ['username', 'state']
header, rows = format_dictlist(student_data, features)
task_progress.attempted = task_progress.succeeded = len(rows)
task_progress.skipped = task_progress.total - task_progress.attempted
rows.insert(0, header)
current_step = {'step': 'Uploading CSV'}
task_progress.update_task_state(extra_meta=current_step)
# Perform the upload
problem_location = re.sub(r'[:/]', '_', problem_location)
csv_name = 'student_state_from_{}'.format(problem_location)
upload_csv_to_report_store(rows, csv_name, course_id, start_date)
return task_progress.update_task_state(extra_meta=current_step)
def upload_problem_grade_report(_xmodule_instance_args, _entry_id, course_id, _task_input, action_name):
"""
Generate a CSV containing all students' problem grades within a given
`course_id`.
"""
start_time = time()
start_date = datetime.now(UTC)
status_interval = 100
enrolled_students = CourseEnrollment.objects.users_enrolled_in(course_id)
task_progress = TaskProgress(action_name, enrolled_students.count(), start_time)
# This struct encapsulates both the display names of each static item in the
# header row as values as well as the django User field names of those items
# as the keys. It is structured in this way to keep the values related.
header_row = OrderedDict([('id', 'Student ID'), ('email', 'Email'), ('username', 'Username')])
graded_scorable_blocks = _graded_scorable_blocks_to_header(course_id)
# Just generate the static fields for now.
rows = [list(header_row.values()) + ['Grade'] + list(chain.from_iterable(graded_scorable_blocks.values()))]
error_rows = [list(header_row.values()) + ['error_msg']]
current_step = {'step': 'Calculating Grades'}
course = get_course_by_id(course_id)
for student, course_grade, err_msg in CourseGradeFactory().iter(course, enrolled_students):
student_fields = [getattr(student, field_name) for field_name in header_row]
task_progress.attempted += 1
if not course_grade:
# There was an error grading this student.
if not err_msg:
err_msg = u'Unknown error'
error_rows.append(student_fields + [err_msg])
task_progress.failed += 1
continue
earned_possible_values = []
for block_location in graded_scorable_blocks:
try:
problem_score = course_grade.problem_scores[block_location]
except KeyError:
earned_possible_values.append([u'Not Available', u'Not Available'])
else:
if problem_score.first_attempted:
earned_possible_values.append([problem_score.earned, problem_score.possible])
else:
earned_possible_values.append([u'Not Attempted', problem_score.possible])
rows.append(student_fields + [course_grade.percent] + list(chain.from_iterable(earned_possible_values)))
task_progress.succeeded += 1
if task_progress.attempted % status_interval == 0:
task_progress.update_task_state(extra_meta=current_step)
# Perform the upload if any students have been successfully graded
if len(rows) > 1:
upload_csv_to_report_store(rows, 'problem_grade_report', course_id, start_date)
# If there are any error rows, write them out as well
if len(error_rows) > 1:
upload_csv_to_report_store(error_rows, 'problem_grade_report_err', course_id, start_date)
return task_progress.update_task_state(extra_meta={'step': 'Uploading CSV'})
def upload_students_csv(_xmodule_instance_args, _entry_id, course_id, task_input, action_name):
"""
For a given `course_id`, generate a CSV file containing profile
information for all students that are enrolled, and store using a
`ReportStore`.
"""
start_time = time()
start_date = datetime.now(UTC)
enrolled_students = CourseEnrollment.objects.users_enrolled_in(course_id)
task_progress = TaskProgress(action_name, enrolled_students.count(), start_time)
current_step = {'step': 'Calculating Profile Info'}
task_progress.update_task_state(extra_meta=current_step)
# compute the student features table and format it
query_features = task_input
student_data = enrolled_students_features(course_id, query_features)
header, rows = format_dictlist(student_data, query_features)
task_progress.attempted = task_progress.succeeded = len(rows)
task_progress.skipped = task_progress.total - task_progress.attempted
rows.insert(0, header)
current_step = {'step': 'Uploading CSV'}
task_progress.update_task_state(extra_meta=current_step)
# Perform the upload
upload_csv_to_report_store(rows, 'student_profile_info', course_id, start_date)
return task_progress.update_task_state(extra_meta=current_step)
def upload_enrollment_report(_xmodule_instance_args, _entry_id, course_id, _task_input, action_name):
"""
For a given `course_id`, generate a CSV file containing profile
information for all students that are enrolled, and store using a
`ReportStore`.
"""
start_time = time()
start_date = datetime.now(UTC)
status_interval = 100
students_in_course = CourseEnrollment.objects.enrolled_and_dropped_out_users(course_id)
task_progress = TaskProgress(action_name, students_in_course.count(), start_time)
fmt = u'Task: {task_id}, InstructorTask ID: {entry_id}, Course: {course_id}, Input: {task_input}'
task_info_string = fmt.format(
task_id=_xmodule_instance_args.get('task_id') if _xmodule_instance_args is not None else None,
entry_id=_entry_id,
course_id=course_id,
task_input=_task_input
)
TASK_LOG.info(u'%s, Task type: %s, Starting task execution', task_info_string, action_name)
# Loop over all our students and build our CSV lists in memory
rows = []
header = None
current_step = {'step': 'Gathering Profile Information'}
enrollment_report_provider = PaidCourseEnrollmentReportProvider()
total_students = students_in_course.count()
student_counter = 0
TASK_LOG.info(
u'%s, Task type: %s, Current step: %s, generating detailed enrollment report for total students: %s',
task_info_string,
action_name,
current_step,
total_students
)
for student in students_in_course:
# Periodically update task status (this is a cache write)
if task_progress.attempted % status_interval == 0:
task_progress.update_task_state(extra_meta=current_step)
task_progress.attempted += 1
# Now add a log entry after certain intervals to get a hint that task is in progress
student_counter += 1
if student_counter % 100 == 0:
TASK_LOG.info(
u'%s, Task type: %s, Current step: %s, gathering enrollment profile for students in progress: %s/%s',
task_info_string,
action_name,
current_step,
student_counter,
total_students
)
user_data = enrollment_report_provider.get_user_profile(student.id)
course_enrollment_data = enrollment_report_provider.get_enrollment_info(student, course_id)
payment_data = enrollment_report_provider.get_payment_info(student, course_id)
# display name map for the column headers
enrollment_report_headers = {
'User ID': _('User ID'),
'Username': _('Username'),
'Full Name': _('Full Name'),
'First Name': _('First Name'),
'Last Name': _('Last Name'),
'Company Name': _('Company Name'),
'Title': _('Title'),
'Language': _('Language'),
'Year of Birth': _('Year of Birth'),
'Gender': _('Gender'),
'Level of Education': _('Level of Education'),
'Mailing Address': _('Mailing Address'),
'Goals': _('Goals'),
'City': _('City'),
'Country': _('Country'),
'Enrollment Date': _('Enrollment Date'),
'Currently Enrolled': _('Currently Enrolled'),
'Enrollment Source': _('Enrollment Source'),
'Manual (Un)Enrollment Reason': _('Manual (Un)Enrollment Reason'),
'Enrollment Role': _('Enrollment Role'),
'List Price': _('List Price'),
'Payment Amount': _('Payment Amount'),
'Coupon Codes Used': _('Coupon Codes Used'),
'Registration Code Used': _('Registration Code Used'),
'Payment Status': _('Payment Status'),
'Transaction Reference Number': _('Transaction Reference Number')
}
if not header:
header = user_data.keys() + course_enrollment_data.keys() + payment_data.keys()
display_headers = []
for header_element in header:
# translate header into a localizable display string
display_headers.append(enrollment_report_headers.get(header_element, header_element))
rows.append(display_headers)
rows.append(user_data.values() + course_enrollment_data.values() + payment_data.values())
task_progress.succeeded += 1
TASK_LOG.info(
u'%s, Task type: %s, Current step: %s, Detailed enrollment report generated for students: %s/%s',
task_info_string,
action_name,
current_step,
student_counter,
total_students
)
# By this point, we've got the rows we're going to stuff into our CSV files.
current_step = {'step': 'Uploading CSVs'}
task_progress.update_task_state(extra_meta=current_step)
TASK_LOG.info(u'%s, Task type: %s, Current step: %s', task_info_string, action_name, current_step)
# Perform the actual upload
upload_csv_to_report_store(rows, 'enrollment_report', course_id, start_date, config_name='FINANCIAL_REPORTS')
# One last update before we close out...
TASK_LOG.info(u'%s, Task type: %s, Finalizing detailed enrollment task', task_info_string, action_name)
return task_progress.update_task_state(extra_meta=current_step)
def upload_may_enroll_csv(_xmodule_instance_args, _entry_id, course_id, task_input, action_name):
"""
For a given `course_id`, generate a CSV file containing
information about students who may enroll but have not done so
yet, and store using a `ReportStore`.
"""
start_time = time()
start_date = datetime.now(UTC)
num_reports = 1
task_progress = TaskProgress(action_name, num_reports, start_time)
current_step = {'step': 'Calculating info about students who may enroll'}
task_progress.update_task_state(extra_meta=current_step)
# Compute result table and format it
query_features = task_input.get('features')
student_data = list_may_enroll(course_id, query_features)
header, rows = format_dictlist(student_data, query_features)
task_progress.attempted = task_progress.succeeded = len(rows)
task_progress.skipped = task_progress.total - task_progress.attempted
rows.insert(0, header)
current_step = {'step': 'Uploading CSV'}
task_progress.update_task_state(extra_meta=current_step)
# Perform the upload
upload_csv_to_report_store(rows, 'may_enroll_info', course_id, start_date)
return task_progress.update_task_state(extra_meta=current_step)
def get_executive_report(course_id):
"""
Returns dict containing information about the course executive summary.
"""
single_purchase_total = PaidCourseRegistration.get_total_amount_of_purchased_item(course_id)
bulk_purchase_total = CourseRegCodeItem.get_total_amount_of_purchased_item(course_id)
paid_invoices_total = InvoiceTransaction.get_total_amount_of_paid_course_invoices(course_id)
gross_paid_revenue = single_purchase_total + bulk_purchase_total + paid_invoices_total
all_invoices_total = Invoice.get_invoice_total_amount_for_course(course_id)
gross_pending_revenue = all_invoices_total - float(paid_invoices_total)
gross_revenue = float(gross_paid_revenue) + float(gross_pending_revenue)
refunded_self_purchased_seats = PaidCourseRegistration.get_self_purchased_seat_count(
course_id, status='refunded'
)
refunded_bulk_purchased_seats = CourseRegCodeItem.get_bulk_purchased_seat_count(
course_id, status='refunded'
)
total_seats_refunded = refunded_self_purchased_seats + refunded_bulk_purchased_seats
self_purchased_refunds = PaidCourseRegistration.get_total_amount_of_purchased_item(
course_id,
status='refunded'
)
bulk_purchase_refunds = CourseRegCodeItem.get_total_amount_of_purchased_item(course_id, status='refunded')
total_amount_refunded = self_purchased_refunds + bulk_purchase_refunds
top_discounted_codes = CouponRedemption.get_top_discount_codes_used(course_id)
total_coupon_codes_purchases = CouponRedemption.get_total_coupon_code_purchases(course_id)
bulk_purchased_codes = CourseRegistrationCode.order_generated_registration_codes(course_id)
unused_registration_codes = 0
for registration_code in bulk_purchased_codes:
if not RegistrationCodeRedemption.is_registration_code_redeemed(registration_code.code):
unused_registration_codes += 1
self_purchased_seat_count = PaidCourseRegistration.get_self_purchased_seat_count(course_id)
bulk_purchased_seat_count = CourseRegCodeItem.get_bulk_purchased_seat_count(course_id)
total_invoiced_seats = CourseRegistrationCode.invoice_generated_registration_codes(course_id).count()
total_seats = self_purchased_seat_count + bulk_purchased_seat_count + total_invoiced_seats
self_purchases_percentage = 0.0
bulk_purchases_percentage = 0.0
invoice_purchases_percentage = 0.0
avg_price_paid = 0.0
if total_seats != 0:
self_purchases_percentage = (float(self_purchased_seat_count) / float(total_seats)) * 100
bulk_purchases_percentage = (float(bulk_purchased_seat_count) / float(total_seats)) * 100
invoice_purchases_percentage = (float(total_invoiced_seats) / float(total_seats)) * 100
avg_price_paid = gross_revenue / total_seats
course = get_course_by_id(course_id, depth=0)
currency = settings.PAID_COURSE_REGISTRATION_CURRENCY[1]
return {
'display_name': course.display_name,
'start_date': course.start.strftime("%Y-%m-%d") if course.start is not None else 'N/A',
'end_date': course.end.strftime("%Y-%m-%d") if course.end is not None else 'N/A',
'total_seats': total_seats,
'currency': currency,
'gross_revenue': float(gross_revenue),
'gross_paid_revenue': float(gross_paid_revenue),
'gross_pending_revenue': gross_pending_revenue,
'total_seats_refunded': total_seats_refunded,
'total_amount_refunded': float(total_amount_refunded),
'average_paid_price': float(avg_price_paid),
'discount_codes_data': top_discounted_codes,
'total_seats_using_discount_codes': total_coupon_codes_purchases,
'total_self_purchase_seats': self_purchased_seat_count,
'total_bulk_purchase_seats': bulk_purchased_seat_count,
'total_invoiced_seats': total_invoiced_seats,
'unused_bulk_purchase_code_count': unused_registration_codes,
'self_purchases_percentage': self_purchases_percentage,
'bulk_purchases_percentage': bulk_purchases_percentage,
'invoice_purchases_percentage': invoice_purchases_percentage,
}
def upload_exec_summary_report(_xmodule_instance_args, _entry_id, course_id, _task_input, action_name):
"""
For a given `course_id`, generate a html report containing information,
which provides a snapshot of how the course is doing.
"""
start_time = time()
report_generation_date = datetime.now(UTC)
status_interval = 100
enrolled_users = CourseEnrollment.objects.users_enrolled_in(course_id)
true_enrollment_count = 0
for user in enrolled_users:
if not user.is_staff and not CourseAccessRole.objects.filter(
user=user, course_id=course_id, role__in=FILTERED_OUT_ROLES
).exists():
true_enrollment_count += 1
task_progress = TaskProgress(action_name, true_enrollment_count, start_time)
fmt = u'Task: {task_id}, InstructorTask ID: {entry_id}, Course: {course_id}, Input: {task_input}'
task_info_string = fmt.format(
task_id=_xmodule_instance_args.get('task_id') if _xmodule_instance_args is not None else None,
entry_id=_entry_id,
course_id=course_id,
task_input=_task_input
)
TASK_LOG.info(u'%s, Task type: %s, Starting task execution', task_info_string, action_name)
current_step = {'step': 'Gathering executive summary report information'}
TASK_LOG.info(
u'%s, Task type: %s, Current step: %s, generating executive summary report',
task_info_string,
action_name,
current_step
)
if task_progress.attempted % status_interval == 0:
task_progress.update_task_state(extra_meta=current_step)
task_progress.attempted += 1
# get the course executive summary report information.
data_dict = get_executive_report(course_id)
data_dict.update(
{
'total_enrollments': true_enrollment_count,
'report_generation_date': report_generation_date.strftime("%Y-%m-%d"),
}
)
# By this point, we've got the data that we need to generate html report.
current_step = {'step': 'Uploading executive summary report HTML file'}
task_progress.update_task_state(extra_meta=current_step)
TASK_LOG.info(u'%s, Task type: %s, Current step: %s', task_info_string, action_name, current_step)
# Perform the actual upload
upload_exec_summary_to_store(data_dict, 'executive_report', course_id, report_generation_date)
task_progress.succeeded += 1
# One last update before we close out...
TASK_LOG.info(u'%s, Task type: %s, Finalizing executive summary report task', task_info_string, action_name)
return task_progress.update_task_state(extra_meta=current_step)
def upload_course_survey_report(_xmodule_instance_args, _entry_id, course_id, _task_input, action_name):
"""
For a given `course_id`, generate a html report containing the survey results for a course.
"""
start_time = time()
start_date = datetime.now(UTC)
num_reports = 1
task_progress = TaskProgress(action_name, num_reports, start_time)
current_step = {'step': 'Gathering course survey report information'}
task_progress.update_task_state(extra_meta=current_step)
distinct_survey_fields_queryset = SurveyAnswer.objects.filter(course_key=course_id).values('field_name').distinct()
survey_fields = []
for unique_field_row in distinct_survey_fields_queryset:
survey_fields.append(unique_field_row['field_name'])
survey_fields.sort()
user_survey_answers = OrderedDict()
survey_answers_for_course = SurveyAnswer.objects.filter(course_key=course_id).select_related('user')
for survey_field_record in survey_answers_for_course:
user_id = survey_field_record.user.id
if user_id not in user_survey_answers.keys():
user_survey_answers[user_id] = {
'username': survey_field_record.user.username,
'email': survey_field_record.user.email
}
user_survey_answers[user_id][survey_field_record.field_name] = survey_field_record.field_value
header = ["User ID", "User Name", "Email"]
header.extend(survey_fields)
csv_rows = []
for user_id in user_survey_answers.keys():
row = []
row.append(user_id)
row.append(user_survey_answers[user_id].get('username', ''))
row.append(user_survey_answers[user_id].get('email', ''))
for survey_field in survey_fields:
row.append(user_survey_answers[user_id].get(survey_field, ''))
csv_rows.append(row)
task_progress.attempted = task_progress.succeeded = len(csv_rows)
task_progress.skipped = task_progress.total - task_progress.attempted
csv_rows.insert(0, header)
current_step = {'step': 'Uploading CSV'}
task_progress.update_task_state(extra_meta=current_step)
# Perform the upload
upload_csv_to_report_store(csv_rows, 'course_survey_results', course_id, start_date)
return task_progress.update_task_state(extra_meta=current_step)
def upload_proctored_exam_results_report(_xmodule_instance_args, _entry_id, course_id, _task_input, action_name): # pylint: disable=invalid-name
"""
For a given `course_id`, generate a CSV file containing
information about proctored exam results, and store using a `ReportStore`.
"""
start_time = time()
start_date = datetime.now(UTC)
num_reports = 1
task_progress = TaskProgress(action_name, num_reports, start_time)
current_step = {'step': 'Calculating info about proctored exam results in a course'}
task_progress.update_task_state(extra_meta=current_step)
# Compute result table and format it
query_features = _task_input.get('features')
student_data = get_proctored_exam_results(course_id, query_features)
header, rows = format_dictlist(student_data, query_features)
task_progress.attempted = task_progress.succeeded = len(rows)
task_progress.skipped = task_progress.total - task_progress.attempted
rows.insert(0, header)
current_step = {'step': 'Uploading CSV'}
task_progress.update_task_state(extra_meta=current_step)
# Perform the upload
upload_csv_to_report_store(rows, 'proctored_exam_results_report', course_id, start_date)
return task_progress.update_task_state(extra_meta=current_step)
def generate_students_certificates(
_xmodule_instance_args, _entry_id, course_id, task_input, action_name):
"""
For a given `course_id`, generate certificates for only students present in 'students' key in task_input
json column, otherwise generate certificates for all enrolled students.
"""
start_time = time()
students_to_generate_certs_for = CourseEnrollment.objects.users_enrolled_in(course_id)
student_set = task_input.get('student_set')
if student_set == 'all_whitelisted':
# Generate Certificates for all white listed students.
students_to_generate_certs_for = students_to_generate_certs_for.filter(
certificatewhitelist__course_id=course_id,
certificatewhitelist__whitelist=True
)
elif student_set == 'whitelisted_not_generated':
# Whitelist students who did not get certificates already.
students_to_generate_certs_for = students_to_generate_certs_for.filter(
certificatewhitelist__course_id=course_id,
certificatewhitelist__whitelist=True
).exclude(
generatedcertificate__course_id=course_id,
generatedcertificate__status__in=CertificateStatuses.PASSED_STATUSES
)
elif student_set == "specific_student":
specific_student_id = task_input.get('specific_student_id')
students_to_generate_certs_for = students_to_generate_certs_for.filter(id=specific_student_id)
task_progress = TaskProgress(action_name, students_to_generate_certs_for.count(), start_time)
current_step = {'step': 'Calculating students already have certificates'}
task_progress.update_task_state(extra_meta=current_step)
statuses_to_regenerate = task_input.get('statuses_to_regenerate', [])
if student_set is not None and not statuses_to_regenerate:
# We want to skip 'filtering students' only when students are given and statuses to regenerate are not
students_require_certs = students_to_generate_certs_for
else:
students_require_certs = students_require_certificate(
course_id, students_to_generate_certs_for, statuses_to_regenerate
)
if statuses_to_regenerate:
# Mark existing generated certificates as 'unavailable' before regenerating
# We need to call this method after "students_require_certificate" otherwise "students_require_certificate"
# would return no results.
invalidate_generated_certificates(course_id, students_to_generate_certs_for, statuses_to_regenerate)
task_progress.skipped = task_progress.total - len(students_require_certs)
current_step = {'step': 'Generating Certificates'}
task_progress.update_task_state(extra_meta=current_step)
course = modulestore().get_course(course_id, depth=0)
# Generate certificate for each student
for student in students_require_certs:
task_progress.attempted += 1
status = generate_user_certificates(
student,
course_id,
course=course
)
if CertificateStatuses.is_passing_status(status):
task_progress.succeeded += 1
else:
task_progress.failed += 1
return task_progress.update_task_state(extra_meta=current_step)
def cohort_students_and_upload(_xmodule_instance_args, _entry_id, course_id, task_input, action_name):
"""
Within a given course, cohort students in bulk, then upload the results
using a `ReportStore`.
"""
start_time = time()
start_date = datetime.now(UTC)
# Iterate through rows to get total assignments for task progress
with DefaultStorage().open(task_input['file_name']) as f:
total_assignments = 0
for _line in unicodecsv.DictReader(UniversalNewlineIterator(f)):
total_assignments += 1
task_progress = TaskProgress(action_name, total_assignments, start_time)
current_step = {'step': 'Cohorting Students'}
task_progress.update_task_state(extra_meta=current_step)
# cohorts_status is a mapping from cohort_name to metadata about
# that cohort. The metadata will include information about users
# successfully added to the cohort, users not found, and a cached
# reference to the corresponding cohort object to prevent
# redundant cohort queries.
cohorts_status = {}
with DefaultStorage().open(task_input['file_name']) as f:
for row in unicodecsv.DictReader(UniversalNewlineIterator(f), encoding='utf-8'):
# Try to use the 'email' field to identify the user. If it's not present, use 'username'.
username_or_email = row.get('email') or row.get('username')
cohort_name = row.get('cohort') or ''
task_progress.attempted += 1
if not cohorts_status.get(cohort_name):
cohorts_status[cohort_name] = {
'Cohort Name': cohort_name,
'Students Added': 0,
'Students Not Found': set()
}
try:
cohorts_status[cohort_name]['cohort'] = CourseUserGroup.objects.get(
course_id=course_id,
group_type=CourseUserGroup.COHORT,
name=cohort_name
)
cohorts_status[cohort_name]["Exists"] = True
except CourseUserGroup.DoesNotExist:
cohorts_status[cohort_name]["Exists"] = False
if not cohorts_status[cohort_name]['Exists']:
task_progress.failed += 1
continue
try:
add_user_to_cohort(cohorts_status[cohort_name]['cohort'], username_or_email)
cohorts_status[cohort_name]['Students Added'] += 1
task_progress.succeeded += 1
except User.DoesNotExist:
cohorts_status[cohort_name]['Students Not Found'].add(username_or_email)
task_progress.failed += 1
except ValueError:
# Raised when the user is already in the given cohort
task_progress.skipped += 1
task_progress.update_task_state(extra_meta=current_step)
current_step['step'] = 'Uploading CSV'
task_progress.update_task_state(extra_meta=current_step)
# Filter the output of `add_users_to_cohorts` in order to upload the result.
output_header = ['Cohort Name', 'Exists', 'Students Added', 'Students Not Found']
output_rows = [
[
','.join(status_dict.get(column_name, '')) if column_name == 'Students Not Found'
else status_dict[column_name]
for column_name in output_header
]
for _cohort_name, status_dict in cohorts_status.iteritems()
]
output_rows.insert(0, output_header)
upload_csv_to_report_store(output_rows, 'cohort_results', course_id, start_date)
return task_progress.update_task_state(extra_meta=current_step)
def students_require_certificate(course_id, enrolled_students, statuses_to_regenerate=None):
"""
Returns list of students where certificates needs to be generated.
if 'statuses_to_regenerate' is given then return students that have Generated Certificates
and the generated certificate status lies in 'statuses_to_regenerate'
if 'statuses_to_regenerate' is not given then return all the enrolled student skipping the ones
whose certificates have already been generated.
:param course_id:
:param enrolled_students:
:param statuses_to_regenerate:
"""
if statuses_to_regenerate:
# Return Students that have Generated Certificates and the generated certificate status
# lies in 'statuses_to_regenerate'
students_require_certificates = enrolled_students.filter(
generatedcertificate__course_id=course_id,
generatedcertificate__status__in=statuses_to_regenerate
)
# Fetch results otherwise subsequent operations on table cause wrong data fetch
return list(students_require_certificates)
else:
# compute those students whose certificates are already generated
students_already_have_certs = User.objects.filter(
~Q(generatedcertificate__status=CertificateStatuses.unavailable),
generatedcertificate__course_id=course_id)
# Return all the enrolled student skipping the ones whose certificates have already been generated
return list(set(enrolled_students) - set(students_already_have_certs))
def invalidate_generated_certificates(course_id, enrolled_students, certificate_statuses): # pylint: disable=invalid-name
"""
Invalidate generated certificates for all enrolled students in the given course having status in
'certificate_statuses'.
Generated Certificates are invalidated by marking its status 'unavailable' and updating verify_uuid, download_uuid,
download_url and grade with empty string.
:param course_id: Course Key for the course whose generated certificates need to be removed
:param enrolled_students: (queryset or list) students enrolled in the course
:param certificate_statuses: certificates statuses for whom to remove generated certificate
"""
certificates = GeneratedCertificate.objects.filter( # pylint: disable=no-member
user__in=enrolled_students,
course_id=course_id,
status__in=certificate_statuses,
)
# Mark generated certificates as 'unavailable' and update download_url, download_uui, verify_uuid and
# grade with empty string for each row
certificates.update(
status=CertificateStatuses.unavailable,
verify_uuid='',
download_uuid='',
download_url='',
grade='',
)
def upload_ora2_data(
_xmodule_instance_args, _entry_id, course_id, _task_input, action_name
):
"""
Collect ora2 responses and upload them to S3 as a CSV
"""
start_date = datetime.now(UTC)
start_time = time()
num_attempted = 1
num_total = 1
fmt = u'Task: {task_id}, InstructorTask ID: {entry_id}, Course: {course_id}, Input: {task_input}'
task_info_string = fmt.format(
task_id=_xmodule_instance_args.get('task_id') if _xmodule_instance_args is not None else None,
entry_id=_entry_id,
course_id=course_id,
task_input=_task_input
)
TASK_LOG.info(u'%s, Task type: %s, Starting task execution', task_info_string, action_name)
task_progress = TaskProgress(action_name, num_total, start_time)
task_progress.attempted = num_attempted
curr_step = {'step': "Collecting responses"}
TASK_LOG.info(
u'%s, Task type: %s, Current step: %s for all submissions',
task_info_string,
action_name,
curr_step,
)
task_progress.update_task_state(extra_meta=curr_step)
try:
header, datarows = OraAggregateData.collect_ora2_data(course_id)
rows = [header] + [row for row in datarows]
# Update progress to failed regardless of error type
except Exception: # pylint: disable=broad-except
TASK_LOG.exception('Failed to get ORA data.')
task_progress.failed = 1
curr_step = {'step': "Error while collecting data"}
task_progress.update_task_state(extra_meta=curr_step)
return UPDATE_STATUS_FAILED
task_progress.succeeded = 1
curr_step = {'step': "Uploading CSV"}
TASK_LOG.info(
u'%s, Task type: %s, Current step: %s',
task_info_string,
action_name,
curr_step,
)
task_progress.update_task_state(extra_meta=curr_step)
upload_csv_to_report_store(rows, 'ORA_data', course_id, start_date)
curr_step = {'step': 'Finalizing ORA data report'}
task_progress.update_task_state(extra_meta=curr_step)
TASK_LOG.info(u'%s, Task type: %s, Upload complete.', task_info_string, action_name)
return UPDATE_STATUS_SUCCEEDED
lms/djangoapps/instructor_task/tasks_helper/certs.py 0 → 100644
"""
Instructor tasks related to certificates.
"""
from django.contrib.auth.models import User
from django.db.models import Q
from time import time
from certificates.api import generate_user_certificates
from certificates.models import CertificateStatuses, GeneratedCertificate
from student.models import CourseEnrollment
from xmodule.modulestore.django import modulestore
from .runner import TaskProgress
def generate_students_certificates(
_xmodule_instance_args, _entry_id, course_id, task_input, action_name):
"""
For a given `course_id`, generate certificates for only students present in 'students' key in task_input
json column, otherwise generate certificates for all enrolled students.
"""
start_time = time()
students_to_generate_certs_for = CourseEnrollment.objects.users_enrolled_in(course_id)
student_set = task_input.get('student_set')
if student_set == 'all_whitelisted':
# Generate Certificates for all white listed students.
students_to_generate_certs_for = students_to_generate_certs_for.filter(
certificatewhitelist__course_id=course_id,
certificatewhitelist__whitelist=True
)
elif student_set == 'whitelisted_not_generated':
# Whitelist students who did not get certificates already.
students_to_generate_certs_for = students_to_generate_certs_for.filter(
certificatewhitelist__course_id=course_id,
certificatewhitelist__whitelist=True
).exclude(
generatedcertificate__course_id=course_id,
generatedcertificate__status__in=CertificateStatuses.PASSED_STATUSES
)
elif student_set == "specific_student":
specific_student_id = task_input.get('specific_student_id')
students_to_generate_certs_for = students_to_generate_certs_for.filter(id=specific_student_id)
task_progress = TaskProgress(action_name, students_to_generate_certs_for.count(), start_time)
current_step = {'step': 'Calculating students already have certificates'}
task_progress.update_task_state(extra_meta=current_step)
statuses_to_regenerate = task_input.get('statuses_to_regenerate', [])
if student_set is not None and not statuses_to_regenerate:
# We want to skip 'filtering students' only when students are given and statuses to regenerate are not
students_require_certs = students_to_generate_certs_for
else:
students_require_certs = students_require_certificate(
course_id, students_to_generate_certs_for, statuses_to_regenerate
)
if statuses_to_regenerate:
# Mark existing generated certificates as 'unavailable' before regenerating
# We need to call this method after "students_require_certificate" otherwise "students_require_certificate"
# would return no results.
invalidate_generated_certificates(course_id, students_to_generate_certs_for, statuses_to_regenerate)
task_progress.skipped = task_progress.total - len(students_require_certs)
current_step = {'step': 'Generating Certificates'}
task_progress.update_task_state(extra_meta=current_step)
course = modulestore().get_course(course_id, depth=0)
# Generate certificate for each student
for student in students_require_certs:
task_progress.attempted += 1
status = generate_user_certificates(
student,
course_id,
course=course
)
if CertificateStatuses.is_passing_status(status):
task_progress.succeeded += 1
else:
task_progress.failed += 1
return task_progress.update_task_state(extra_meta=current_step)
def students_require_certificate(course_id, enrolled_students, statuses_to_regenerate=None):
"""
Returns list of students where certificates needs to be generated.
if 'statuses_to_regenerate' is given then return students that have Generated Certificates
and the generated certificate status lies in 'statuses_to_regenerate'
if 'statuses_to_regenerate' is not given then return all the enrolled student skipping the ones
whose certificates have already been generated.
:param course_id:
:param enrolled_students:
:param statuses_to_regenerate:
"""
if statuses_to_regenerate:
# Return Students that have Generated Certificates and the generated certificate status
# lies in 'statuses_to_regenerate'
students_require_certificates = enrolled_students.filter(
generatedcertificate__course_id=course_id,
generatedcertificate__status__in=statuses_to_regenerate
)
# Fetch results otherwise subsequent operations on table cause wrong data fetch
return list(students_require_certificates)
else:
# compute those students whose certificates are already generated
students_already_have_certs = User.objects.filter(
~Q(generatedcertificate__status=CertificateStatuses.unavailable),
generatedcertificate__course_id=course_id)
# Return all the enrolled student skipping the ones whose certificates have already been generated
return list(set(enrolled_students) - set(students_already_have_certs))
def invalidate_generated_certificates(course_id, enrolled_students, certificate_statuses): # pylint: disable=invalid-name
"""
Invalidate generated certificates for all enrolled students in the given course having status in
'certificate_statuses'.
Generated Certificates are invalidated by marking its status 'unavailable' and updating verify_uuid, download_uuid,
download_url and grade with empty string.
:param course_id: Course Key for the course whose generated certificates need to be removed
:param enrolled_students: (queryset or list) students enrolled in the course
:param certificate_statuses: certificates statuses for whom to remove generated certificate
"""
certificates = GeneratedCertificate.objects.filter( # pylint: disable=no-member
user__in=enrolled_students,
course_id=course_id,
status__in=certificate_statuses,
)
# Mark generated certificates as 'unavailable' and update download_url, download_uui, verify_uuid and
# grade with empty string for each row
certificates.update(
status=CertificateStatuses.unavailable,
verify_uuid='',
download_uuid='',
download_url='',
grade='',
)
lms/djangoapps/instructor_task/tasks_helper/enrollments.py 0 → 100644
"""
Instructor tasks related to enrollments.
"""
from datetime import datetime
from django.conf import settings
from django.utils.translation import ugettext as _
import logging
from pytz import UTC
from StringIO import StringIO
from time import time
from edxmako.shortcuts import render_to_string
from courseware.courses import get_course_by_id
from lms.djangoapps.instructor.paidcourse_enrollment_report import PaidCourseEnrollmentReportProvider
from lms.djangoapps.instructor_task.models import ReportStore
from instructor_analytics.basic import enrolled_students_features, list_may_enroll
from instructor_analytics.csvs import format_dictlist
from shoppingcart.models import (
PaidCourseRegistration, CourseRegCodeItem, InvoiceTransaction,
Invoice, CouponRedemption, RegistrationCodeRedemption, CourseRegistrationCode
)
from student.models import CourseEnrollment, CourseAccessRole
from util.file import course_filename_prefix_generator
from .runner import TaskProgress
from .utils import tracker_emit, upload_csv_to_report_store
TASK_LOG = logging.getLogger('edx.celery.task')
FILTERED_OUT_ROLES = ['staff', 'instructor', 'finance_admin', 'sales_admin']
def upload_enrollment_report(_xmodule_instance_args, _entry_id, course_id, _task_input, action_name):
"""
For a given `course_id`, generate a CSV file containing profile
information for all students that are enrolled, and store using a
`ReportStore`.
"""
start_time = time()
start_date = datetime.now(UTC)
status_interval = 100
students_in_course = CourseEnrollment.objects.enrolled_and_dropped_out_users(course_id)
task_progress = TaskProgress(action_name, students_in_course.count(), start_time)
fmt = u'Task: {task_id}, InstructorTask ID: {entry_id}, Course: {course_id}, Input: {task_input}'
task_info_string = fmt.format(
task_id=_xmodule_instance_args.get('task_id') if _xmodule_instance_args is not None else None,
entry_id=_entry_id,
course_id=course_id,
task_input=_task_input
)
TASK_LOG.info(u'%s, Task type: %s, Starting task execution', task_info_string, action_name)
# Loop over all our students and build our CSV lists in memory
rows = []
header = None
current_step = {'step': 'Gathering Profile Information'}
enrollment_report_provider = PaidCourseEnrollmentReportProvider()
total_students = students_in_course.count()
student_counter = 0
TASK_LOG.info(
u'%s, Task type: %s, Current step: %s, generating detailed enrollment report for total students: %s',
task_info_string,
action_name,
current_step,
total_students
)
for student in students_in_course:
# Periodically update task status (this is a cache write)
if task_progress.attempted % status_interval == 0:
task_progress.update_task_state(extra_meta=current_step)
task_progress.attempted += 1
# Now add a log entry after certain intervals to get a hint that task is in progress
student_counter += 1
if student_counter % 100 == 0:
TASK_LOG.info(
u'%s, Task type: %s, Current step: %s, gathering enrollment profile for students in progress: %s/%s',
task_info_string,
action_name,
current_step,
student_counter,
total_students
)
user_data = enrollment_report_provider.get_user_profile(student.id)
course_enrollment_data = enrollment_report_provider.get_enrollment_info(student, course_id)
payment_data = enrollment_report_provider.get_payment_info(student, course_id)
# display name map for the column headers
enrollment_report_headers = {
'User ID': _('User ID'),
'Username': _('Username'),
'Full Name': _('Full Name'),
'First Name': _('First Name'),
'Last Name': _('Last Name'),
'Company Name': _('Company Name'),
'Title': _('Title'),
'Language': _('Language'),
'Year of Birth': _('Year of Birth'),
'Gender': _('Gender'),
'Level of Education': _('Level of Education'),
'Mailing Address': _('Mailing Address'),
'Goals': _('Goals'),
'City': _('City'),
'Country': _('Country'),
'Enrollment Date': _('Enrollment Date'),
'Currently Enrolled': _('Currently Enrolled'),
'Enrollment Source': _('Enrollment Source'),
'Manual (Un)Enrollment Reason': _('Manual (Un)Enrollment Reason'),
'Enrollment Role': _('Enrollment Role'),
'List Price': _('List Price'),
'Payment Amount': _('Payment Amount'),
'Coupon Codes Used': _('Coupon Codes Used'),
'Registration Code Used': _('Registration Code Used'),
'Payment Status': _('Payment Status'),
'Transaction Reference Number': _('Transaction Reference Number')
}
if not header:
header = user_data.keys() + course_enrollment_data.keys() + payment_data.keys()
display_headers = []
for header_element in header:
# translate header into a localizable display string
display_headers.append(enrollment_report_headers.get(header_element, header_element))
rows.append(display_headers)
rows.append(user_data.values() + course_enrollment_data.values() + payment_data.values())
task_progress.succeeded += 1
TASK_LOG.info(
u'%s, Task type: %s, Current step: %s, Detailed enrollment report generated for students: %s/%s',
task_info_string,
action_name,
current_step,
student_counter,
total_students
)
# By this point, we've got the rows we're going to stuff into our CSV files.
current_step = {'step': 'Uploading CSVs'}
task_progress.update_task_state(extra_meta=current_step)
TASK_LOG.info(u'%s, Task type: %s, Current step: %s', task_info_string, action_name, current_step)
# Perform the actual upload
upload_csv_to_report_store(rows, 'enrollment_report', course_id, start_date, config_name='FINANCIAL_REPORTS')
# One last update before we close out...
TASK_LOG.info(u'%s, Task type: %s, Finalizing detailed enrollment task', task_info_string, action_name)
return task_progress.update_task_state(extra_meta=current_step)
def upload_may_enroll_csv(_xmodule_instance_args, _entry_id, course_id, task_input, action_name):
"""
For a given `course_id`, generate a CSV file containing
information about students who may enroll but have not done so
yet, and store using a `ReportStore`.
"""
start_time = time()
start_date = datetime.now(UTC)
num_reports = 1
task_progress = TaskProgress(action_name, num_reports, start_time)
current_step = {'step': 'Calculating info about students who may enroll'}
task_progress.update_task_state(extra_meta=current_step)
# Compute result table and format it
query_features = task_input.get('features')
student_data = list_may_enroll(course_id, query_features)
header, rows = format_dictlist(student_data, query_features)
task_progress.attempted = task_progress.succeeded = len(rows)
task_progress.skipped = task_progress.total - task_progress.attempted
rows.insert(0, header)
current_step = {'step': 'Uploading CSV'}
task_progress.update_task_state(extra_meta=current_step)
# Perform the upload
upload_csv_to_report_store(rows, 'may_enroll_info', course_id, start_date)
return task_progress.update_task_state(extra_meta=current_step)
def upload_students_csv(_xmodule_instance_args, _entry_id, course_id, task_input, action_name):
"""
For a given `course_id`, generate a CSV file containing profile
information for all students that are enrolled, and store using a
`ReportStore`.
"""
start_time = time()
start_date = datetime.now(UTC)
enrolled_students = CourseEnrollment.objects.users_enrolled_in(course_id)
task_progress = TaskProgress(action_name, enrolled_students.count(), start_time)
current_step = {'step': 'Calculating Profile Info'}
task_progress.update_task_state(extra_meta=current_step)
# compute the student features table and format it
query_features = task_input
student_data = enrolled_students_features(course_id, query_features)
header, rows = format_dictlist(student_data, query_features)
task_progress.attempted = task_progress.succeeded = len(rows)
task_progress.skipped = task_progress.total - task_progress.attempted
rows.insert(0, header)
current_step = {'step': 'Uploading CSV'}
task_progress.update_task_state(extra_meta=current_step)
# Perform the upload
upload_csv_to_report_store(rows, 'student_profile_info', course_id, start_date)
return task_progress.update_task_state(extra_meta=current_step)
def get_executive_report(course_id):
"""
Returns dict containing information about the course executive summary.
"""
single_purchase_total = PaidCourseRegistration.get_total_amount_of_purchased_item(course_id)
bulk_purchase_total = CourseRegCodeItem.get_total_amount_of_purchased_item(course_id)
paid_invoices_total = InvoiceTransaction.get_total_amount_of_paid_course_invoices(course_id)
gross_paid_revenue = single_purchase_total + bulk_purchase_total + paid_invoices_total
all_invoices_total = Invoice.get_invoice_total_amount_for_course(course_id)
gross_pending_revenue = all_invoices_total - float(paid_invoices_total)
gross_revenue = float(gross_paid_revenue) + float(gross_pending_revenue)
refunded_self_purchased_seats = PaidCourseRegistration.get_self_purchased_seat_count(
course_id, status='refunded'
)
refunded_bulk_purchased_seats = CourseRegCodeItem.get_bulk_purchased_seat_count(
course_id, status='refunded'
)
total_seats_refunded = refunded_self_purchased_seats + refunded_bulk_purchased_seats
self_purchased_refunds = PaidCourseRegistration.get_total_amount_of_purchased_item(
course_id,
status='refunded'
)
bulk_purchase_refunds = CourseRegCodeItem.get_total_amount_of_purchased_item(course_id, status='refunded')
total_amount_refunded = self_purchased_refunds + bulk_purchase_refunds
top_discounted_codes = CouponRedemption.get_top_discount_codes_used(course_id)
total_coupon_codes_purchases = CouponRedemption.get_total_coupon_code_purchases(course_id)
bulk_purchased_codes = CourseRegistrationCode.order_generated_registration_codes(course_id)
unused_registration_codes = 0
for registration_code in bulk_purchased_codes:
if not RegistrationCodeRedemption.is_registration_code_redeemed(registration_code.code):
unused_registration_codes += 1
self_purchased_seat_count = PaidCourseRegistration.get_self_purchased_seat_count(course_id)
bulk_purchased_seat_count = CourseRegCodeItem.get_bulk_purchased_seat_count(course_id)
total_invoiced_seats = CourseRegistrationCode.invoice_generated_registration_codes(course_id).count()
total_seats = self_purchased_seat_count + bulk_purchased_seat_count + total_invoiced_seats
self_purchases_percentage = 0.0
bulk_purchases_percentage = 0.0
invoice_purchases_percentage = 0.0
avg_price_paid = 0.0
if total_seats != 0:
self_purchases_percentage = (float(self_purchased_seat_count) / float(total_seats)) * 100
bulk_purchases_percentage = (float(bulk_purchased_seat_count) / float(total_seats)) * 100
invoice_purchases_percentage = (float(total_invoiced_seats) / float(total_seats)) * 100
avg_price_paid = gross_revenue / total_seats
course = get_course_by_id(course_id, depth=0)
currency = settings.PAID_COURSE_REGISTRATION_CURRENCY[1]
return {
'display_name': course.display_name,
'start_date': course.start.strftime("%Y-%m-%d") if course.start is not None else 'N/A',
'end_date': course.end.strftime("%Y-%m-%d") if course.end is not None else 'N/A',
'total_seats': total_seats,
'currency': currency,
'gross_revenue': float(gross_revenue),
'gross_paid_revenue': float(gross_paid_revenue),
'gross_pending_revenue': gross_pending_revenue,
'total_seats_refunded': total_seats_refunded,
'total_amount_refunded': float(total_amount_refunded),
'average_paid_price': float(avg_price_paid),
'discount_codes_data': top_discounted_codes,
'total_seats_using_discount_codes': total_coupon_codes_purchases,
'total_self_purchase_seats': self_purchased_seat_count,
'total_bulk_purchase_seats': bulk_purchased_seat_count,
'total_invoiced_seats': total_invoiced_seats,
'unused_bulk_purchase_code_count': unused_registration_codes,
'self_purchases_percentage': self_purchases_percentage,
'bulk_purchases_percentage': bulk_purchases_percentage,
'invoice_purchases_percentage': invoice_purchases_percentage,
}
def upload_exec_summary_report(_xmodule_instance_args, _entry_id, course_id, _task_input, action_name):
"""
For a given `course_id`, generate a html report containing information,
which provides a snapshot of how the course is doing.
"""
start_time = time()
report_generation_date = datetime.now(UTC)
status_interval = 100
enrolled_users = CourseEnrollment.objects.users_enrolled_in(course_id)
true_enrollment_count = 0
for user in enrolled_users:
if not user.is_staff and not CourseAccessRole.objects.filter(
user=user, course_id=course_id, role__in=FILTERED_OUT_ROLES
).exists():
true_enrollment_count += 1
task_progress = TaskProgress(action_name, true_enrollment_count, start_time)
fmt = u'Task: {task_id}, InstructorTask ID: {entry_id}, Course: {course_id}, Input: {task_input}'
task_info_string = fmt.format(
task_id=_xmodule_instance_args.get('task_id') if _xmodule_instance_args is not None else None,
entry_id=_entry_id,
course_id=course_id,
task_input=_task_input
)
TASK_LOG.info(u'%s, Task type: %s, Starting task execution', task_info_string, action_name)
current_step = {'step': 'Gathering executive summary report information'}
TASK_LOG.info(
u'%s, Task type: %s, Current step: %s, generating executive summary report',
task_info_string,
action_name,
current_step
)
if task_progress.attempted % status_interval == 0:
task_progress.update_task_state(extra_meta=current_step)
task_progress.attempted += 1
# get the course executive summary report information.
data_dict = get_executive_report(course_id)
data_dict.update(
{
'total_enrollments': true_enrollment_count,
'report_generation_date': report_generation_date.strftime("%Y-%m-%d"),
}
)
# By this point, we've got the data that we need to generate html report.
current_step = {'step': 'Uploading executive summary report HTML file'}
task_progress.update_task_state(extra_meta=current_step)
TASK_LOG.info(u'%s, Task type: %s, Current step: %s', task_info_string, action_name, current_step)
# Perform the actual upload
_upload_exec_summary_to_store(data_dict, 'executive_report', course_id, report_generation_date)
task_progress.succeeded += 1
# One last update before we close out...
TASK_LOG.info(u'%s, Task type: %s, Finalizing executive summary report task', task_info_string, action_name)
return task_progress.update_task_state(extra_meta=current_step)
def _upload_exec_summary_to_store(data_dict, report_name, course_id, generated_at, config_name='FINANCIAL_REPORTS'):
"""
Upload Executive Summary Html file using ReportStore.
Arguments:
data_dict: containing executive report data.
report_name: Name of the resulting Html File.
course_id: ID of the course
"""
report_store = ReportStore.from_config(config_name)
# Use the data dict and html template to generate the output buffer
output_buffer = StringIO(render_to_string("instructor/instructor_dashboard_2/executive_summary.html", data_dict))
report_store.store(
course_id,
u"{course_prefix}_{report_name}_{timestamp_str}.html".format(
course_prefix=course_filename_prefix_generator(course_id),
report_name=report_name,
timestamp_str=generated_at.strftime("%Y-%m-%d-%H%M")
),
output_buffer,
)
tracker_emit(report_name)
lms/djangoapps/instructor_task/tasks_helper/grades.py 0 → 100644
"""
Functionality for generating grade reports.
"""
from collections import OrderedDict
from datetime import datetime
from itertools import chain
import logging
from pytz import UTC
import re
from time import time
from instructor_analytics.basic import list_problem_responses
from instructor_analytics.csvs import format_dictlist
from certificates.models import CertificateWhitelist, certificate_info_for_user
from courseware.courses import get_course_by_id
from lms.djangoapps.grades.context import grading_context_for_course
from lms.djangoapps.grades.new.course_grade_factory import CourseGradeFactory
from lms.djangoapps.teams.models import CourseTeamMembership
from lms.djangoapps.verify_student.models import SoftwareSecurePhotoVerification
from openedx.core.djangoapps.course_groups.cohorts import get_cohort, is_course_cohorted
from student.models import CourseEnrollment
from xmodule.partitions.partitions_service import PartitionService
from xmodule.split_test_module import get_split_user_partitions
from .runner import TaskProgress
from .utils import upload_csv_to_report_store
TASK_LOG = logging.getLogger('edx.celery.task')
def generate_course_grade_report(_xmodule_instance_args, _entry_id, course_id, _task_input, action_name): # pylint: disable=too-many-statements
"""
For a given `course_id`, generate a grades CSV file for all students that
are enrolled, and store using a `ReportStore`. Once created, the files can
be accessed by instantiating another `ReportStore` (via
`ReportStore.from_config()`) and calling `link_for()` on it. Writes are
buffered, so we'll never write part of a CSV file to S3 -- i.e. any files
that are visible in ReportStore will be complete ones.
As we start to add more CSV downloads, it will probably be worthwhile to
make a more general CSVDoc class instead of building out the rows like we
do here.
"""
start_time = time()
start_date = datetime.now(UTC)
status_interval = 100
enrolled_students = CourseEnrollment.objects.users_enrolled_in(course_id)
total_enrolled_students = enrolled_students.count()
task_progress = TaskProgress(action_name, total_enrolled_students, start_time)
fmt = u'Task: {task_id}, InstructorTask ID: {entry_id}, Course: {course_id}, Input: {task_input}'
task_info_string = fmt.format(
task_id=_xmodule_instance_args.get('task_id') if _xmodule_instance_args is not None else None,
entry_id=_entry_id,
course_id=course_id,
task_input=_task_input
)
TASK_LOG.info(u'%s, Task type: %s, Starting task execution', task_info_string, action_name)
course = get_course_by_id(course_id)
course_is_cohorted = is_course_cohorted(course.id)
teams_enabled = course.teams_enabled
cohorts_header = ['Cohort Name'] if course_is_cohorted else []
teams_header = ['Team Name'] if teams_enabled else []
experiment_partitions = get_split_user_partitions(course.user_partitions)
group_configs_header = [u'Experiment Group ({})'.format(partition.name) for partition in experiment_partitions]
certificate_info_header = ['Certificate Eligible', 'Certificate Delivered', 'Certificate Type']
certificate_whitelist = CertificateWhitelist.objects.filter(course_id=course_id, whitelist=True)
whitelisted_user_ids = [entry.user_id for entry in certificate_whitelist]
# Loop over all our students and build our CSV lists in memory
rows = []
err_rows = [["id", "username", "error_msg"]]
current_step = {'step': 'Calculating Grades'}
student_counter = 0
TASK_LOG.info(
u'%s, Task type: %s, Current step: %s, Starting grade calculation for total students: %s',
task_info_string,
action_name,
current_step,
total_enrolled_students,
)
graded_assignments = _graded_assignments(course_id)
grade_header = []
for assignment_info in graded_assignments.itervalues():
if assignment_info['use_subsection_headers']:
grade_header.extend(assignment_info['subsection_headers'].itervalues())
grade_header.append(assignment_info['average_header'])
rows.append(
["Student ID", "Email", "Username", "Grade"] +
grade_header +
cohorts_header +
group_configs_header +
teams_header +
['Enrollment Track', 'Verification Status'] +
certificate_info_header
)
for student, course_grade, err_msg in CourseGradeFactory().iter(course, enrolled_students):
# Periodically update task status (this is a cache write)
if task_progress.attempted % status_interval == 0:
task_progress.update_task_state(extra_meta=current_step)
task_progress.attempted += 1
# Now add a log entry after each student is graded to get a sense
# of the task's progress
student_counter += 1
TASK_LOG.info(
u'%s, Task type: %s, Current step: %s, Grade calculation in-progress for students: %s/%s',
task_info_string,
action_name,
current_step,
student_counter,
total_enrolled_students
)
if not course_grade:
# An empty gradeset means we failed to grade a student.
task_progress.failed += 1
err_rows.append([student.id, student.username, err_msg])
continue
# We were able to successfully grade this student for this course.
task_progress.succeeded += 1
cohorts_group_name = []
if course_is_cohorted:
group = get_cohort(student, course_id, assign=False)
cohorts_group_name.append(group.name if group else '')
group_configs_group_names = []
for partition in experiment_partitions:
group = PartitionService(course_id).get_group(student, partition, assign=False)
group_configs_group_names.append(group.name if group else '')
team_name = []
if teams_enabled:
try:
membership = CourseTeamMembership.objects.get(user=student, team__course_id=course_id)
team_name.append(membership.team.name)
except CourseTeamMembership.DoesNotExist:
team_name.append('')
enrollment_mode = CourseEnrollment.enrollment_mode_for_user(student, course_id)[0]
verification_status = SoftwareSecurePhotoVerification.verification_status_for_user(
student,
course_id,
enrollment_mode
)
certificate_info = certificate_info_for_user(
student,
course_id,
course_grade.letter_grade,
student.id in whitelisted_user_ids
)
TASK_LOG.info(
u'Student certificate eligibility: %s '
u'(user=%s, course_id=%s, grade_percent=%s letter_grade=%s gradecutoffs=%s, allow_certificate=%s, '
u'is_whitelisted=%s)',
certificate_info[0],
student,
course_id,
course_grade.percent,
course_grade.letter_grade,
course.grade_cutoffs,
student.profile.allow_certificate,
student.id in whitelisted_user_ids
)
grade_results = []
for assignment_type, assignment_info in graded_assignments.iteritems():
for subsection_location in assignment_info['subsection_headers']:
try:
subsection_grade = course_grade.graded_subsections_by_format[assignment_type][subsection_location]
except KeyError:
grade_results.append([u'Not Available'])
else:
if subsection_grade.graded_total.first_attempted is not None:
grade_results.append(
[subsection_grade.graded_total.earned / subsection_grade.graded_total.possible]
)
else:
grade_results.append([u'Not Attempted'])
if assignment_info['use_subsection_headers']:
assignment_average = course_grade.grader_result['grade_breakdown'].get(assignment_type, {}).get(
'percent'
)
grade_results.append([assignment_average])
grade_results = list(chain.from_iterable(grade_results))
rows.append(
[student.id, student.email, student.username, course_grade.percent] +
grade_results + cohorts_group_name + group_configs_group_names + team_name +
[enrollment_mode] + [verification_status] + certificate_info
)
TASK_LOG.info(
u'%s, Task type: %s, Current step: %s, Grade calculation completed for students: %s/%s',
task_info_string,
action_name,
current_step,
student_counter,
total_enrolled_students
)
# By this point, we've got the rows we're going to stuff into our CSV files.
current_step = {'step': 'Uploading CSVs'}
task_progress.update_task_state(extra_meta=current_step)
TASK_LOG.info(u'%s, Task type: %s, Current step: %s', task_info_string, action_name, current_step)
# Perform the actual upload
upload_csv_to_report_store(rows, 'grade_report', course_id, start_date)
# If there are any error rows (don't count the header), write them out as well
if len(err_rows) > 1:
upload_csv_to_report_store(err_rows, 'grade_report_err', course_id, start_date)
# One last update before we close out...
TASK_LOG.info(u'%s, Task type: %s, Finalizing grade task', task_info_string, action_name)
return task_progress.update_task_state(extra_meta=current_step)
def generate_problem_grade_report(_xmodule_instance_args, _entry_id, course_id, _task_input, action_name):
"""
Generate a CSV containing all students' problem grades within a given
`course_id`.
"""
start_time = time()
start_date = datetime.now(UTC)
status_interval = 100
enrolled_students = CourseEnrollment.objects.users_enrolled_in(course_id)
task_progress = TaskProgress(action_name, enrolled_students.count(), start_time)
# This struct encapsulates both the display names of each static item in the
# header row as values as well as the django User field names of those items
# as the keys. It is structured in this way to keep the values related.
header_row = OrderedDict([('id', 'Student ID'), ('email', 'Email'), ('username', 'Username')])
graded_scorable_blocks = _graded_scorable_blocks_to_header(course_id)
# Just generate the static fields for now.
rows = [list(header_row.values()) + ['Grade'] + list(chain.from_iterable(graded_scorable_blocks.values()))]
error_rows = [list(header_row.values()) + ['error_msg']]
current_step = {'step': 'Calculating Grades'}
course = get_course_by_id(course_id)
for student, course_grade, err_msg in CourseGradeFactory().iter(course, enrolled_students):
student_fields = [getattr(student, field_name) for field_name in header_row]
task_progress.attempted += 1
if not course_grade:
# There was an error grading this student.
if not err_msg:
err_msg = u'Unknown error'
error_rows.append(student_fields + [err_msg])
task_progress.failed += 1
continue
earned_possible_values = []
for block_location in graded_scorable_blocks:
try:
problem_score = course_grade.problem_scores[block_location]
except KeyError:
earned_possible_values.append([u'Not Available', u'Not Available'])
else:
if problem_score.first_attempted:
earned_possible_values.append([problem_score.earned, problem_score.possible])
else:
earned_possible_values.append([u'Not Attempted', problem_score.possible])
rows.append(student_fields + [course_grade.percent] + list(chain.from_iterable(earned_possible_values)))
task_progress.succeeded += 1
if task_progress.attempted % status_interval == 0:
task_progress.update_task_state(extra_meta=current_step)
# Perform the upload if any students have been successfully graded
if len(rows) > 1:
upload_csv_to_report_store(rows, 'problem_grade_report', course_id, start_date)
# If there are any error rows, write them out as well
if len(error_rows) > 1:
upload_csv_to_report_store(error_rows, 'problem_grade_report_err', course_id, start_date)
return task_progress.update_task_state(extra_meta={'step': 'Uploading CSV'})
def upload_problem_responses_csv(_xmodule_instance_args, _entry_id, course_id, task_input, action_name):
"""
For a given `course_id`, generate a CSV file containing
all student answers to a given problem, and store using a `ReportStore`.
"""
start_time = time()
start_date = datetime.now(UTC)
num_reports = 1
task_progress = TaskProgress(action_name, num_reports, start_time)
current_step = {'step': 'Calculating students answers to problem'}
task_progress.update_task_state(extra_meta=current_step)
# Compute result table and format it
problem_location = task_input.get('problem_location')
student_data = list_problem_responses(course_id, problem_location)
features = ['username', 'state']
header, rows = format_dictlist(student_data, features)
task_progress.attempted = task_progress.succeeded = len(rows)
task_progress.skipped = task_progress.total - task_progress.attempted
rows.insert(0, header)
current_step = {'step': 'Uploading CSV'}
task_progress.update_task_state(extra_meta=current_step)
# Perform the upload
problem_location = re.sub(r'[:/]', '_', problem_location)
csv_name = 'student_state_from_{}'.format(problem_location)
upload_csv_to_report_store(rows, csv_name, course_id, start_date)
return task_progress.update_task_state(extra_meta=current_step)
def _graded_assignments(course_key):
"""
Returns an OrderedDict that maps an assignment type to a dict of subsection-headers and average-header.
"""
grading_context = grading_context_for_course(course_key)
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.
use_subsection_headers = len(subsection_infos) > 1
if use_subsection_headers:
average_header += u" (Avg)"
graded_assignments_map[assignment_type_name] = {
'subsection_headers': graded_subsections_map,
'average_header': average_header,
'use_subsection_headers': use_subsection_headers
}
return graded_assignments_map
def _graded_scorable_blocks_to_header(course_key):
"""
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_key)
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
lms/djangoapps/instructor_task/tasks_helper/misc.py 0 → 100644
"""
This file contains tasks that are designed to perform background operations on the
running state of a course.
"""
from collections import OrderedDict
from datetime import datetime
import logging
from pytz import UTC
from time import time
import unicodecsv
from django.contrib.auth.models import User
from django.core.files.storage import DefaultStorage
from instructor_analytics.basic import get_proctored_exam_results
from instructor_analytics.csvs import format_dictlist
from openassessment.data import OraAggregateData
from openedx.core.djangoapps.course_groups.models import CourseUserGroup
from openedx.core.djangoapps.course_groups.cohorts import add_user_to_cohort
from survey.models import SurveyAnswer
from util.file import course_filename_prefix_generator, UniversalNewlineIterator
from .runner import TaskProgress
from .utils import upload_csv_to_report_store, UPDATE_STATUS_SUCCEEDED, UPDATE_STATUS_FAILED
# define different loggers for use within tasks and on client side
TASK_LOG = logging.getLogger('edx.celery.task')
def upload_course_survey_report(_xmodule_instance_args, _entry_id, course_id, _task_input, action_name):
"""
For a given `course_id`, generate a html report containing the survey results for a course.
"""
start_time = time()
start_date = datetime.now(UTC)
num_reports = 1
task_progress = TaskProgress(action_name, num_reports, start_time)
current_step = {'step': 'Gathering course survey report information'}
task_progress.update_task_state(extra_meta=current_step)
distinct_survey_fields_queryset = SurveyAnswer.objects.filter(course_key=course_id).values('field_name').distinct()
survey_fields = []
for unique_field_row in distinct_survey_fields_queryset:
survey_fields.append(unique_field_row['field_name'])
survey_fields.sort()
user_survey_answers = OrderedDict()
survey_answers_for_course = SurveyAnswer.objects.filter(course_key=course_id).select_related('user')
for survey_field_record in survey_answers_for_course:
user_id = survey_field_record.user.id
if user_id not in user_survey_answers.keys():
user_survey_answers[user_id] = {
'username': survey_field_record.user.username,
'email': survey_field_record.user.email
}
user_survey_answers[user_id][survey_field_record.field_name] = survey_field_record.field_value
header = ["User ID", "User Name", "Email"]
header.extend(survey_fields)
csv_rows = []
for user_id in user_survey_answers.keys():
row = []
row.append(user_id)
row.append(user_survey_answers[user_id].get('username', ''))
row.append(user_survey_answers[user_id].get('email', ''))
for survey_field in survey_fields:
row.append(user_survey_answers[user_id].get(survey_field, ''))
csv_rows.append(row)
task_progress.attempted = task_progress.succeeded = len(csv_rows)
task_progress.skipped = task_progress.total - task_progress.attempted
csv_rows.insert(0, header)
current_step = {'step': 'Uploading CSV'}
task_progress.update_task_state(extra_meta=current_step)
# Perform the upload
upload_csv_to_report_store(csv_rows, 'course_survey_results', course_id, start_date)
return task_progress.update_task_state(extra_meta=current_step)
def upload_proctored_exam_results_report(_xmodule_instance_args, _entry_id, course_id, _task_input, action_name): # pylint: disable=invalid-name
"""
For a given `course_id`, generate a CSV file containing
information about proctored exam results, and store using a `ReportStore`.
"""
start_time = time()
start_date = datetime.now(UTC)
num_reports = 1
task_progress = TaskProgress(action_name, num_reports, start_time)
current_step = {'step': 'Calculating info about proctored exam results in a course'}
task_progress.update_task_state(extra_meta=current_step)
# Compute result table and format it
query_features = _task_input.get('features')
student_data = get_proctored_exam_results(course_id, query_features)
header, rows = format_dictlist(student_data, query_features)
task_progress.attempted = task_progress.succeeded = len(rows)
task_progress.skipped = task_progress.total - task_progress.attempted
rows.insert(0, header)
current_step = {'step': 'Uploading CSV'}
task_progress.update_task_state(extra_meta=current_step)
# Perform the upload
upload_csv_to_report_store(rows, 'proctored_exam_results_report', course_id, start_date)
return task_progress.update_task_state(extra_meta=current_step)
def cohort_students_and_upload(_xmodule_instance_args, _entry_id, course_id, task_input, action_name):
"""
Within a given course, cohort students in bulk, then upload the results
using a `ReportStore`.
"""
start_time = time()
start_date = datetime.now(UTC)
# Iterate through rows to get total assignments for task progress
with DefaultStorage().open(task_input['file_name']) as f:
total_assignments = 0
for _line in unicodecsv.DictReader(UniversalNewlineIterator(f)):
total_assignments += 1
task_progress = TaskProgress(action_name, total_assignments, start_time)
current_step = {'step': 'Cohorting Students'}
task_progress.update_task_state(extra_meta=current_step)
# cohorts_status is a mapping from cohort_name to metadata about
# that cohort. The metadata will include information about users
# successfully added to the cohort, users not found, and a cached
# reference to the corresponding cohort object to prevent
# redundant cohort queries.
cohorts_status = {}
with DefaultStorage().open(task_input['file_name']) as f:
for row in unicodecsv.DictReader(UniversalNewlineIterator(f), encoding='utf-8'):
# Try to use the 'email' field to identify the user. If it's not present, use 'username'.
username_or_email = row.get('email') or row.get('username')
cohort_name = row.get('cohort') or ''
task_progress.attempted += 1
if not cohorts_status.get(cohort_name):
cohorts_status[cohort_name] = {
'Cohort Name': cohort_name,
'Students Added': 0,
'Students Not Found': set()
}
try:
cohorts_status[cohort_name]['cohort'] = CourseUserGroup.objects.get(
course_id=course_id,
group_type=CourseUserGroup.COHORT,
name=cohort_name
)
cohorts_status[cohort_name]["Exists"] = True
except CourseUserGroup.DoesNotExist:
cohorts_status[cohort_name]["Exists"] = False
if not cohorts_status[cohort_name]['Exists']:
task_progress.failed += 1
continue
try:
add_user_to_cohort(cohorts_status[cohort_name]['cohort'], username_or_email)
cohorts_status[cohort_name]['Students Added'] += 1
task_progress.succeeded += 1
except User.DoesNotExist:
cohorts_status[cohort_name]['Students Not Found'].add(username_or_email)
task_progress.failed += 1
except ValueError:
# Raised when the user is already in the given cohort
task_progress.skipped += 1
task_progress.update_task_state(extra_meta=current_step)
current_step['step'] = 'Uploading CSV'
task_progress.update_task_state(extra_meta=current_step)
# Filter the output of `add_users_to_cohorts` in order to upload the result.
output_header = ['Cohort Name', 'Exists', 'Students Added', 'Students Not Found']
output_rows = [
[
','.join(status_dict.get(column_name, '')) if column_name == 'Students Not Found'
else status_dict[column_name]
for column_name in output_header
]
for _cohort_name, status_dict in cohorts_status.iteritems()
]
output_rows.insert(0, output_header)
upload_csv_to_report_store(output_rows, 'cohort_results', course_id, start_date)
return task_progress.update_task_state(extra_meta=current_step)
def upload_ora2_data(
_xmodule_instance_args, _entry_id, course_id, _task_input, action_name
):
"""
Collect ora2 responses and upload them to S3 as a CSV
"""
start_date = datetime.now(UTC)
start_time = time()
num_attempted = 1
num_total = 1
fmt = u'Task: {task_id}, InstructorTask ID: {entry_id}, Course: {course_id}, Input: {task_input}'
task_info_string = fmt.format(
task_id=_xmodule_instance_args.get('task_id') if _xmodule_instance_args is not None else None,
entry_id=_entry_id,
course_id=course_id,
task_input=_task_input
)
TASK_LOG.info(u'%s, Task type: %s, Starting task execution', task_info_string, action_name)
task_progress = TaskProgress(action_name, num_total, start_time)
task_progress.attempted = num_attempted
curr_step = {'step': "Collecting responses"}
TASK_LOG.info(
u'%s, Task type: %s, Current step: %s for all submissions',
task_info_string,
action_name,
curr_step,
)
task_progress.update_task_state(extra_meta=curr_step)
try:
header, datarows = OraAggregateData.collect_ora2_data(course_id)
rows = [header] + [row for row in datarows]
# Update progress to failed regardless of error type
except Exception: # pylint: disable=broad-except
TASK_LOG.exception('Failed to get ORA data.')
task_progress.failed = 1
curr_step = {'step': "Error while collecting data"}
task_progress.update_task_state(extra_meta=curr_step)
return UPDATE_STATUS_FAILED
task_progress.succeeded = 1
curr_step = {'step': "Uploading CSV"}
TASK_LOG.info(
u'%s, Task type: %s, Current step: %s',
task_info_string,
action_name,
curr_step,
)
task_progress.update_task_state(extra_meta=curr_step)
upload_csv_to_report_store(rows, 'ORA_data', course_id, start_date)
curr_step = {'step': 'Finalizing ORA data report'}
task_progress.update_task_state(extra_meta=curr_step)
TASK_LOG.info(u'%s, Task type: %s, Upload complete.', task_info_string, action_name)
return UPDATE_STATUS_SUCCEEDED
lms/djangoapps/instructor_task/tasks_helper/module_state.py 0 → 100644
"""
Instructor Tasks related to module state.
"""
from django.contrib.auth.models import User
import dogstats_wrapper as dog_stats_api
import json
import logging
from time import time
from eventtracking import tracker
from opaque_keys.edx.keys import UsageKey
from xmodule.modulestore.django import modulestore
from courseware.courses import get_course_by_id, get_problems_in_section
from courseware.models import StudentModule
from courseware.model_data import DjangoKeyValueStore, FieldDataCache
from courseware.module_render import get_module_for_descriptor_internal
from lms.djangoapps.grades.scores import weighted_score
from track.contexts import course_context_from_course_id
from track.event_transaction_utils import set_event_transaction_type, create_new_event_transaction_id
from track.views import task_track
from util.db import outer_atomic
from xblock.runtime import KvsFieldData
from ..exceptions import UpdateProblemModuleStateError
from .runner import TaskProgress
from .utils import UPDATE_STATUS_SUCCEEDED, UPDATE_STATUS_FAILED, UPDATE_STATUS_SKIPPED, UNKNOWN_TASK_ID
TASK_LOG = logging.getLogger('edx.celery.task')
# define value to be used in grading events
GRADES_RESCORE_EVENT_TYPE = 'edx.grades.problem.rescored'
def perform_module_state_update(update_fcn, filter_fcn, _entry_id, course_id, task_input, action_name):
"""
Performs generic update by visiting StudentModule instances with the update_fcn provided.
StudentModule instances are those that match the specified `course_id` and `module_state_key`.
If `student_identifier` is not None, it is used as an additional filter to limit the modules to those belonging
to that student. If `student_identifier` is None, performs update on modules for all students on the specified
problem.
If a `filter_fcn` is not None, it is applied to the query that has been constructed. It takes one
argument, which is the query being filtered, and returns the filtered version of the query.
The `update_fcn` is called on each StudentModule that passes the resulting filtering.
It is passed four arguments: the module_descriptor for the module pointed to by the
module_state_key, the particular StudentModule to update, the xmodule_instance_args, and the task_input
being passed through. If the value returned by the update function evaluates to a boolean True,
the update is successful; False indicates the update on the particular student module failed.
A raised exception indicates a fatal condition -- that no other student modules should be considered.
The return value is a dict containing the task's results, with the following keys:
'attempted': number of attempts made
'succeeded': number of attempts that "succeeded"
'skipped': number of attempts that "skipped"
'failed': number of attempts that "failed"
'total': number of possible updates to attempt
'action_name': user-visible verb to use in status messages. Should be past-tense.
Pass-through of input `action_name`.
'duration_ms': how long the task has (or had) been running.
Because this is run internal to a task, it does not catch exceptions. These are allowed to pass up to the
next level, so that it can set the failure modes and capture the error trace in the InstructorTask and the
result object.
"""
start_time = time()
usage_keys = []
problem_url = task_input.get('problem_url')
entrance_exam_url = task_input.get('entrance_exam_url')
student_identifier = task_input.get('student')
problems = {}
# if problem_url is present make a usage key from it
if problem_url:
usage_key = course_id.make_usage_key_from_deprecated_string(problem_url)
usage_keys.append(usage_key)
# find the problem descriptor:
problem_descriptor = modulestore().get_item(usage_key)
problems[unicode(usage_key)] = problem_descriptor
# if entrance_exam is present grab all problems in it
if entrance_exam_url:
problems = get_problems_in_section(entrance_exam_url)
usage_keys = [UsageKey.from_string(location) for location in problems.keys()]
# find the modules in question
modules_to_update = StudentModule.objects.filter(course_id=course_id, module_state_key__in=usage_keys)
# give the option of updating an individual student. If not specified,
# then updates all students who have responded to a problem so far
student = None
if student_identifier is not None:
# if an identifier is supplied, then look for the student,
# and let it throw an exception if none is found.
if "@" in student_identifier:
student = User.objects.get(email=student_identifier)
elif student_identifier is not None:
student = User.objects.get(username=student_identifier)
if student is not None:
modules_to_update = modules_to_update.filter(student_id=student.id)
if filter_fcn is not None:
modules_to_update = filter_fcn(modules_to_update)
task_progress = TaskProgress(action_name, modules_to_update.count(), start_time)
task_progress.update_task_state()
for module_to_update in modules_to_update:
task_progress.attempted += 1
module_descriptor = problems[unicode(module_to_update.module_state_key)]
# There is no try here: if there's an error, we let it throw, and the task will
# be marked as FAILED, with a stack trace.
with dog_stats_api.timer('instructor_tasks.module.time.step', tags=[u'action:{name}'.format(name=action_name)]):
update_status = update_fcn(module_descriptor, module_to_update, task_input)
if update_status == UPDATE_STATUS_SUCCEEDED:
# If the update_fcn returns true, then it performed some kind of work.
# Logging of failures is left to the update_fcn itself.
task_progress.succeeded += 1
elif update_status == UPDATE_STATUS_FAILED:
task_progress.failed += 1
elif update_status == UPDATE_STATUS_SKIPPED:
task_progress.skipped += 1
else:
raise UpdateProblemModuleStateError("Unexpected update_status returned: {}".format(update_status))
return task_progress.update_task_state()
@outer_atomic
def rescore_problem_module_state(xmodule_instance_args, module_descriptor, student_module, task_input):
'''
Takes an XModule descriptor and a corresponding StudentModule object, and
performs rescoring on the student's problem submission.
Throws exceptions if the rescoring is fatal and should be aborted if in a loop.
In particular, raises UpdateProblemModuleStateError if module fails to instantiate,
or if the module doesn't support rescoring.
Returns True if problem was successfully rescored for the given student, and False
if problem encountered some kind of error in rescoring.
'''
# unpack the StudentModule:
course_id = student_module.course_id
student = student_module.student
usage_key = student_module.module_state_key
with modulestore().bulk_operations(course_id):
course = get_course_by_id(course_id)
# TODO: Here is a call site where we could pass in a loaded course. I
# think we certainly need it since grading is happening here, and field
# overrides would be important in handling that correctly
instance = _get_module_instance_for_task(
course_id,
student,
module_descriptor,
xmodule_instance_args,
grade_bucket_type='rescore',
course=course
)
if instance is None:
# Either permissions just changed, or someone is trying to be clever
# and load something they shouldn't have access to.
msg = "No module {loc} for student {student}--access denied?".format(
loc=usage_key,
student=student
)
TASK_LOG.warning(msg)
return UPDATE_STATUS_FAILED
# TODO: (TNL-6594) Remove this switch once rescore_problem support
# once CAPA uses ScorableXBlockMixin.
for method in ['rescore', 'rescore_problem']:
rescore_method = getattr(instance, method, None)
if rescore_method is not None:
break
else: # for-else: Neither method exists on the block.
# This should not happen, since it should be already checked in the
# caller, but check here to be sure.
msg = "Specified problem does not support rescoring."
raise UpdateProblemModuleStateError(msg)
# TODO: Remove the first part of this if-else with TNL-6594
# We check here to see if the problem has any submissions. If it does not, we don't want to rescore it
if hasattr(instance, "done"):
if not instance.done:
return UPDATE_STATUS_SKIPPED
elif not instance.has_submitted_answer():
return UPDATE_STATUS_SKIPPED
# Set the tracking info before this call, because it makes downstream
# calls that create events. We retrieve and store the id here because
# the request cache will be erased during downstream calls.
event_transaction_id = create_new_event_transaction_id()
set_event_transaction_type(GRADES_RESCORE_EVENT_TYPE)
result = rescore_method(only_if_higher=task_input['only_if_higher'])
instance.save()
if result is None or result.get(u'success') in {u'correct', u'incorrect'}:
TASK_LOG.debug(
u"successfully processed rescore call for course %(course)s, problem %(loc)s "
u"and student %(student)s",
dict(
course=course_id,
loc=usage_key,
student=student
)
)
if result is not None: # Only for CAPA. This will get moved to the grade handler.
new_weighted_earned, new_weighted_possible = weighted_score(
result['new_raw_earned'] if result else None,
result['new_raw_possible'] if result else None,
module_descriptor.weight,
)
# TODO: remove this context manager after completion of AN-6134
context = course_context_from_course_id(course_id)
with tracker.get_tracker().context(GRADES_RESCORE_EVENT_TYPE, context):
tracker.emit(
unicode(GRADES_RESCORE_EVENT_TYPE),
{
'course_id': unicode(course_id),
'user_id': unicode(student.id),
'problem_id': unicode(usage_key),
'new_weighted_earned': new_weighted_earned,
'new_weighted_possible': new_weighted_possible,
'only_if_higher': task_input['only_if_higher'],
'instructor_id': unicode(xmodule_instance_args['request_info']['user_id']),
'event_transaction_id': unicode(event_transaction_id),
'event_transaction_type': unicode(GRADES_RESCORE_EVENT_TYPE),
}
)
return UPDATE_STATUS_SUCCEEDED
else:
TASK_LOG.warning(
u"error processing rescore call for course %(course)s, problem %(loc)s "
u"and student %(student)s: %(msg)s",
dict(
msg=result.get('success', result),
course=course_id,
loc=usage_key,
student=student
)
)
return UPDATE_STATUS_FAILED
@outer_atomic
def reset_attempts_module_state(xmodule_instance_args, _module_descriptor, student_module, _task_input):
"""
Resets problem attempts to zero for specified `student_module`.
Returns a status of UPDATE_STATUS_SUCCEEDED if a problem has non-zero attempts
that are being reset, and UPDATE_STATUS_SKIPPED otherwise.
"""
update_status = UPDATE_STATUS_SKIPPED
problem_state = json.loads(student_module.state) if student_module.state else {}
if 'attempts' in problem_state:
old_number_of_attempts = problem_state["attempts"]
if old_number_of_attempts > 0:
problem_state["attempts"] = 0
# convert back to json and save
student_module.state = json.dumps(problem_state)
student_module.save()
# get request-related tracking information from args passthrough,
# and supplement with task-specific information:
track_function = _get_track_function_for_task(student_module.student, xmodule_instance_args)
event_info = {"old_attempts": old_number_of_attempts, "new_attempts": 0}
track_function('problem_reset_attempts', event_info)
update_status = UPDATE_STATUS_SUCCEEDED
return update_status
@outer_atomic
def delete_problem_module_state(xmodule_instance_args, _module_descriptor, student_module, _task_input):
"""
Delete the StudentModule entry.
Always returns UPDATE_STATUS_SUCCEEDED, indicating success, if it doesn't raise an exception due to database error.
"""
student_module.delete()
# get request-related tracking information from args passthrough,
# and supplement with task-specific information:
track_function = _get_track_function_for_task(student_module.student, xmodule_instance_args)
track_function('problem_delete_state', {})
return UPDATE_STATUS_SUCCEEDED
def _get_module_instance_for_task(course_id, student, module_descriptor, xmodule_instance_args=None,
grade_bucket_type=None, course=None):
"""
Fetches a StudentModule instance for a given `course_id`, `student` object, and `module_descriptor`.
`xmodule_instance_args` is used to provide information for creating a track function and an XQueue callback.
These are passed, along with `grade_bucket_type`, to get_module_for_descriptor_internal, which sidesteps
the need for a Request object when instantiating an xmodule instance.
"""
# reconstitute the problem's corresponding XModule:
field_data_cache = FieldDataCache.cache_for_descriptor_descendents(course_id, student, module_descriptor)
student_data = KvsFieldData(DjangoKeyValueStore(field_data_cache))
# get request-related tracking information from args passthrough, and supplement with task-specific
# information:
request_info = xmodule_instance_args.get('request_info', {}) if xmodule_instance_args is not None else {}
task_info = {"student": student.username, "task_id": _get_task_id_from_xmodule_args(xmodule_instance_args)}
def make_track_function():
'''
Make a tracking function that logs what happened.
For insertion into ModuleSystem, and used by CapaModule, which will
provide the event_type (as string) and event (as dict) as arguments.
The request_info and task_info (and page) are provided here.
'''
return lambda event_type, event: task_track(request_info, task_info, event_type, event, page='x_module_task')
xqueue_callback_url_prefix = xmodule_instance_args.get('xqueue_callback_url_prefix', '') \
if xmodule_instance_args is not None else ''
return get_module_for_descriptor_internal(
user=student,
descriptor=module_descriptor,
student_data=student_data,
course_id=course_id,
track_function=make_track_function(),
xqueue_callback_url_prefix=xqueue_callback_url_prefix,
grade_bucket_type=grade_bucket_type,
# This module isn't being used for front-end rendering
request_token=None,
# pass in a loaded course for override enabling
course=course
)
def _get_track_function_for_task(student, xmodule_instance_args=None, source_page='x_module_task'):
"""
Make a tracking function that logs what happened.
For insertion into ModuleSystem, and used by CapaModule, which will
provide the event_type (as string) and event (as dict) as arguments.
The request_info and task_info (and page) are provided here.
"""
# get request-related tracking information from args passthrough, and supplement with task-specific
# information:
request_info = xmodule_instance_args.get('request_info', {}) if xmodule_instance_args is not None else {}
task_info = {'student': student.username, 'task_id': _get_task_id_from_xmodule_args(xmodule_instance_args)}
return lambda event_type, event: task_track(request_info, task_info, event_type, event, page=source_page)
def _get_task_id_from_xmodule_args(xmodule_instance_args):
"""Gets task_id from `xmodule_instance_args` dict, or returns default value if missing."""
if xmodule_instance_args is None:
return UNKNOWN_TASK_ID
else:
return xmodule_instance_args.get('task_id', UNKNOWN_TASK_ID)
lms/djangoapps/instructor_task/tasks_helper/runner.py 0 → 100644
from django.db import reset_queries
from celery import Task, current_task
import dogstats_wrapper as dog_stats_api
import json
import logging
from util.db import outer_atomic
from time import time
from lms.djangoapps.instructor_task.models import InstructorTask, PROGRESS
TASK_LOG = logging.getLogger('edx.celery.task')
class TaskProgress(object):
"""
Encapsulates the current task's progress by keeping track of
'attempted', 'succeeded', 'skipped', 'failed', 'total',
'action_name', and 'duration_ms' values.
"""
def __init__(self, action_name, total, start_time):
self.action_name = action_name
self.total = total
self.start_time = start_time
self.attempted = 0
self.succeeded = 0
self.skipped = 0
self.failed = 0
def update_task_state(self, extra_meta=None):
"""
Update the current celery task's state to the progress state
specified by the current object. Returns the progress
dictionary for use by `run_main_task` and
`BaseInstructorTask.on_success`.
Arguments:
extra_meta (dict): Extra metadata to pass to `update_state`
Returns:
dict: The current task's progress dict
"""
progress_dict = {
'action_name': self.action_name,
'attempted': self.attempted,
'succeeded': self.succeeded,
'skipped': self.skipped,
'failed': self.failed,
'total': self.total,
'duration_ms': int((time() - self.start_time) * 1000),
}
if extra_meta is not None:
progress_dict.update(extra_meta)
_get_current_task().update_state(state=PROGRESS, meta=progress_dict)
return progress_dict
def run_main_task(entry_id, task_fcn, action_name):
"""
Applies the `task_fcn` to the arguments defined in `entry_id` InstructorTask.
Arguments passed to `task_fcn` are:
`entry_id` : the primary key for the InstructorTask entry representing the task.
`course_id` : the id for the course.
`task_input` : dict containing task-specific arguments, JSON-decoded from InstructorTask's task_input.
`action_name` : past-tense verb to use for constructing status messages.
If no exceptions are raised, the `task_fcn` should return a dict containing
the task's result with the following keys:
'attempted': number of attempts made
'succeeded': number of attempts that "succeeded"
'skipped': number of attempts that "skipped"
'failed': number of attempts that "failed"
'total': number of possible subtasks to attempt
'action_name': user-visible verb to use in status messages.
Should be past-tense. Pass-through of input `action_name`.
'duration_ms': how long the task has (or had) been running.
"""
# Get the InstructorTask to be updated. If this fails then let the exception return to Celery.
# There's no point in catching it here.
with outer_atomic():
entry = InstructorTask.objects.get(pk=entry_id)
entry.task_state = PROGRESS
entry.save_now()
# Get inputs to use in this task from the entry
task_id = entry.task_id
course_id = entry.course_id
task_input = json.loads(entry.task_input)
# Construct log message
fmt = u'Task: {task_id}, InstructorTask ID: {entry_id}, Course: {course_id}, Input: {task_input}'
task_info_string = fmt.format(task_id=task_id, entry_id=entry_id, course_id=course_id, task_input=task_input)
TASK_LOG.info(u'%s, Starting update (nothing %s yet)', task_info_string, action_name)
# Check that the task_id submitted in the InstructorTask matches the current task
# that is running.
request_task_id = _get_current_task().request.id
if task_id != request_task_id:
fmt = u'{task_info}, Requested task did not match actual task "{actual_id}"'
message = fmt.format(task_info=task_info_string, actual_id=request_task_id)
TASK_LOG.error(message)
raise ValueError(message)
# Now do the work
with dog_stats_api.timer('instructor_tasks.time.overall', tags=[u'action:{name}'.format(name=action_name)]):
task_progress = task_fcn(entry_id, course_id, task_input, action_name)
# Release any queries that the connection has been hanging onto
reset_queries()
# Log and exit, returning task_progress info as task result
TASK_LOG.info(u'%s, Task type: %s, Finishing task: %s', task_info_string, action_name, task_progress)
return task_progress
def _get_current_task():
"""
Stub to make it easier to test without actually running Celery.
This is a wrapper around celery.current_task, which provides access
to the top of the stack of Celery's tasks. When running tests, however,
it doesn't seem to work to mock current_task directly, so this wrapper
is used to provide a hook to mock in tests, while providing the real
`current_task` in production.
"""
return current_task
lms/djangoapps/instructor_task/tasks_helper/utils.py 0 → 100644
from eventtracking import tracker
from lms.djangoapps.instructor_task.models import ReportStore
from util.file import course_filename_prefix_generator
REPORT_REQUESTED_EVENT_NAME = u'edx.instructor.report.requested'
# define value to use when no task_id is provided:
UNKNOWN_TASK_ID = 'unknown-task_id'
# define values for update functions to use to return status to perform_module_state_update
UPDATE_STATUS_SUCCEEDED = 'succeeded'
UPDATE_STATUS_FAILED = 'failed'
UPDATE_STATUS_SKIPPED = 'skipped'
def upload_csv_to_report_store(rows, csv_name, course_id, timestamp, config_name='GRADES_DOWNLOAD'):
"""
Upload data as a CSV using ReportStore.
Arguments:
rows: CSV data in the following format (first column may be a
header):
[
[row1_colum1, row1_colum2, ...],
...
]
csv_name: Name of the resulting CSV
course_id: ID of the course
"""
report_store = ReportStore.from_config(config_name)
report_store.store_rows(
course_id,
u"{course_prefix}_{csv_name}_{timestamp_str}.csv".format(
course_prefix=course_filename_prefix_generator(course_id),
csv_name=csv_name,
timestamp_str=timestamp.strftime("%Y-%m-%d-%H%M")
),
rows
)
tracker_emit(csv_name)
def tracker_emit(report_name):
"""
Emits a 'report.requested' event for the given report.
"""
tracker.emit(REPORT_REQUESTED_EVENT_NAME, {"report_type": report_name, })
lms/djangoapps/instructor_task/tests/test_integration.py
......@@ -32,7 +32,7 @@ from lms.djangoapps.instructor_task.api import (
submit_delete_problem_state_for_all_students
)
from lms.djangoapps.instructor_task.models import InstructorTask
from lms.djangoapps.instructor_task.tasks_helper import upload_grades_csv
from lms.djangoapps.instructor_task.tasks_helper.grades import generate_course_grade_report
from lms.djangoapps.instructor_task.tests.test_base import (
InstructorTaskModuleTestCase,
TestReportMixin,
......@@ -572,10 +572,10 @@ class TestGradeReportConditionalContent(TestReportMixin, TestConditionalContent,
def verify_csv_task_success(self, task_result):
"""
Verify that all students were successfully graded by
`upload_grades_csv`.
`generate_course_grade_report`.
Arguments:
task_result (dict): Return value of `upload_grades_csv`.
task_result (dict): Return value of `generate_course_grade_report`.
"""
self.assertDictContainsSubset({'attempted': 2, 'succeeded': 2, 'failed': 0}, task_result)
......@@ -635,8 +635,8 @@ class TestGradeReportConditionalContent(TestReportMixin, TestConditionalContent,
self.submit_student_answer(self.student_a.username, problem_a_url, [OPTION_1, OPTION_1])
self.submit_student_answer(self.student_b.username, problem_b_url, [OPTION_1, OPTION_2])
with patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task'):
result = upload_grades_csv(None, None, self.course.id, None, 'graded')
with patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task'):
result = generate_course_grade_report(None, None, self.course.id, None, 'graded')
self.verify_csv_task_success(result)
self.verify_grades_in_csv(
[
......@@ -668,8 +668,8 @@ class TestGradeReportConditionalContent(TestReportMixin, TestConditionalContent,
self.submit_student_answer(self.student_a.username, problem_a_url, [OPTION_1, OPTION_1])
with patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task'):
result = upload_grades_csv(None, None, self.course.id, None, 'graded')
with patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task'):
result = generate_course_grade_report(None, None, self.course.id, None, 'graded')
self.verify_csv_task_success(result)
self.verify_grades_in_csv(
[
......
lms/djangoapps/instructor_task/tests/test_tasks.py
......@@ -22,6 +22,7 @@ from courseware.tests.factories import StudentModuleFactory
from student.tests.factories import UserFactory, CourseEnrollmentFactory
from xmodule.modulestore.exceptions import ItemNotFoundError
from lms.djangoapps.instructor_task.exceptions import UpdateProblemModuleStateError
from lms.djangoapps.instructor_task.models import InstructorTask
from lms.djangoapps.instructor_task.tests.test_base import InstructorTaskModuleTestCase
from lms.djangoapps.instructor_task.tests.factories import InstructorTaskFactory
......@@ -32,10 +33,8 @@ from lms.djangoapps.instructor_task.tasks import (
generate_certificates,
export_ora2_data,
)
from lms.djangoapps.instructor_task.tasks_helper import (
UpdateProblemModuleStateError,
upload_ora2_data,
)
from lms.djangoapps.instructor_task.tasks_helper.misc import upload_ora2_data
PROBLEM_URL_NAME = "test_urlname"
......@@ -97,7 +96,7 @@ class TestInstructorTasks(InstructorTaskModuleTestCase):
self.current_task.update_state.side_effect = TestTaskFailure(expected_failure_message)
task_args = [entry_id, self._get_xmodule_instance_args()]
with patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task') as mock_get_task:
with patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task') as mock_get_task:
mock_get_task.return_value = self.current_task
return task_class.apply(task_args, task_id=task_id).get()
......@@ -275,7 +274,7 @@ class TestRescoreInstructorTask(TestInstructorTasks):
mock_instance = MagicMock()
del mock_instance.rescore_problem
del mock_instance.rescore
with patch('lms.djangoapps.instructor_task.tasks_helper.get_module_for_descriptor_internal') as mock_get_module:
with patch('lms.djangoapps.instructor_task.tasks_helper.module_state.get_module_for_descriptor_internal') as mock_get_module:
mock_get_module.return_value = mock_instance
with self.assertRaises(UpdateProblemModuleStateError):
self._run_task_with_mock_celery(rescore_problem, task_entry.id, task_entry.task_id)
......@@ -295,7 +294,7 @@ class TestRescoreInstructorTask(TestInstructorTasks):
num_students = 1
self._create_students_with_state(num_students, input_state)
task_entry = self._create_input_entry()
with patch('lms.djangoapps.instructor_task.tasks_helper.get_module_for_descriptor_internal', return_value=None):
with patch('lms.djangoapps.instructor_task.tasks_helper.module_state.get_module_for_descriptor_internal', return_value=None):
self._run_task_with_mock_celery(rescore_problem, task_entry.id, task_entry.task_id)
self.assert_task_output(
......@@ -331,7 +330,7 @@ class TestRescoreInstructorTask(TestInstructorTasks):
num_students = 10
self._create_students_with_state(num_students)
task_entry = self._create_input_entry()
with patch('lms.djangoapps.instructor_task.tasks_helper.get_module_for_descriptor_internal') as mock_get_module:
with patch('lms.djangoapps.instructor_task.tasks_helper.module_state.get_module_for_descriptor_internal') as mock_get_module:
mock_get_module.return_value = mock_instance
self._run_task_with_mock_celery(rescore_problem, task_entry.id, task_entry.task_id)
......@@ -356,7 +355,7 @@ class TestRescoreInstructorTask(TestInstructorTasks):
mock_instance = Mock()
mock_instance.rescore_problem = Mock(return_value={'success': 'bogus'})
del mock_instance.rescore
with patch('lms.djangoapps.instructor_task.tasks_helper.get_module_for_descriptor_internal') as mock_get_module:
with patch('lms.djangoapps.instructor_task.tasks_helper.module_state.get_module_for_descriptor_internal') as mock_get_module:
mock_get_module.return_value = mock_instance
self._run_task_with_mock_celery(rescore_problem, task_entry.id, task_entry.task_id)
......@@ -381,7 +380,7 @@ class TestRescoreInstructorTask(TestInstructorTasks):
mock_instance = Mock()
mock_instance.rescore_problem = Mock(return_value={'bogus': 'value'})
del mock_instance.rescore
with patch('lms.djangoapps.instructor_task.tasks_helper.get_module_for_descriptor_internal') as mock_get_module:
with patch('lms.djangoapps.instructor_task.tasks_helper.module_state.get_module_for_descriptor_internal') as mock_get_module:
mock_get_module.return_value = mock_instance
self._run_task_with_mock_celery(rescore_problem, task_entry.id, task_entry.task_id)
......
lms/djangoapps/instructor_task/tests/test_tasks_helper.py
......@@ -49,18 +49,27 @@ from xmodule.modulestore.tests.factories import CourseFactory, ItemFactory
from xmodule.partitions.partitions import Group, UserPartition
from ..models import ReportStore
from ..tasks_helper import (
cohort_students_and_upload,
upload_problem_responses_csv,
upload_grades_csv,
upload_problem_grade_report,
upload_students_csv,
upload_may_enroll_csv,
from lms.djangoapps.instructor_task.tasks_helper.certs import (
generate_students_certificates,
)
from lms.djangoapps.instructor_task.tasks_helper.enrollments import (
upload_enrollment_report,
upload_may_enroll_csv,
upload_exec_summary_report,
upload_students_csv,
)
from lms.djangoapps.instructor_task.tasks_helper.grades import (
generate_course_grade_report,
generate_problem_grade_report,
upload_problem_responses_csv,
)
from lms.djangoapps.instructor_task.tasks_helper.misc import (
cohort_students_and_upload,
upload_course_survey_report,
generate_students_certificates,
upload_proctored_exam_results_report,
upload_ora2_data,
)
from ..tasks_helper.utils import (
UPDATE_STATUS_FAILED,
UPDATE_STATUS_SUCCEEDED,
)
......@@ -79,8 +88,8 @@ class InstructorGradeReportTestCase(TestReportMixin, InstructorTaskCourseTestCas
"""
Verify cell data in the grades CSV for a particular user.
"""
with patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task'):
result = upload_grades_csv(None, None, course_id, None, 'graded')
with patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task'):
result = generate_course_grade_report(None, None, course_id, None, 'graded')
self.assertDictContainsSubset({'attempted': 2, 'succeeded': 2, 'failed': 0}, result)
report_store = ReportStore.from_config(config_name='GRADES_DOWNLOAD')
report_csv_filename = report_store.links_for(course_id)[0][0]
......@@ -110,13 +119,13 @@ class TestInstructorGradeReport(InstructorGradeReportTestCase):
self.current_task = Mock()
self.current_task.update_state = Mock()
with patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task') as mock_current_task:
with patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task') as mock_current_task:
mock_current_task.return_value = self.current_task
result = upload_grades_csv(None, None, self.course.id, None, 'graded')
result = generate_course_grade_report(None, None, self.course.id, None, 'graded')
num_students = len(emails)
self.assertDictContainsSubset({'attempted': num_students, 'succeeded': num_students, 'failed': 0}, result)
@patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task')
@patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task')
@patch('lms.djangoapps.grades.new.course_grade_factory.CourseGradeFactory.iter')
def test_grading_failure(self, mock_grades_iter, _mock_current_task):
"""
......@@ -126,7 +135,7 @@ class TestInstructorGradeReport(InstructorGradeReportTestCase):
mock_grades_iter.return_value = [
(self.create_student('username', 'student@example.com'), None, 'Cannot grade student')
]
result = upload_grades_csv(None, None, self.course.id, None, 'graded')
result = generate_course_grade_report(None, None, self.course.id, None, 'graded')
self.assertDictContainsSubset({'attempted': 1, 'succeeded': 0, 'failed': 1}, result)
report_store = ReportStore.from_config(config_name='GRADES_DOWNLOAD')
......@@ -293,7 +302,7 @@ class TestInstructorGradeReport(InstructorGradeReportTestCase):
u'Default Group',
)
@patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task')
@patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task')
@patch('lms.djangoapps.grades.new.course_grade_factory.CourseGradeFactory.iter')
def test_unicode_in_csv_header(self, mock_grades_iter, _mock_current_task):
"""
......@@ -310,7 +319,7 @@ class TestInstructorGradeReport(InstructorGradeReportTestCase):
'',
)
]
result = upload_grades_csv(None, None, self.course.id, None, 'graded')
result = generate_course_grade_report(None, None, self.course.id, None, 'graded')
self.assertDictContainsSubset({'attempted': 1, 'succeeded': 1, 'failed': 0}, result)
......@@ -362,8 +371,8 @@ class TestProblemResponsesReport(TestReportMixin, InstructorTaskCourseTestCase):
def test_success(self):
task_input = {'problem_location': ''}
with patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task'):
with patch('lms.djangoapps.instructor_task.tasks_helper.list_problem_responses') as patched_data_source:
with patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task'):
with patch('lms.djangoapps.instructor_task.tasks_helper.grades.list_problem_responses') as patched_data_source:
patched_data_source.return_value = [
{'username': 'user0', 'state': u'state0'},
{'username': 'user1', 'state': u'state1'},
......@@ -410,7 +419,7 @@ class TestInstructorDetailedEnrollmentReport(TestReportMixin, InstructorTaskCour
def test_success(self):
self.create_student('student', 'student@example.com')
task_input = {'features': []}
with patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task'):
with patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task'):
result = upload_enrollment_report(None, None, self.course.id, task_input, 'generating_enrollment_report')
self.assertDictContainsSubset({'attempted': 1, 'succeeded': 1, 'failed': 0}, result)
......@@ -426,7 +435,7 @@ class TestInstructorDetailedEnrollmentReport(TestReportMixin, InstructorTaskCour
student_cart.purchase()
task_input = {'features': []}
with patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task'):
with patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task'):
result = upload_enrollment_report(None, None, self.course.id, task_input, 'generating_enrollment_report')
self.assertDictContainsSubset({'attempted': 1, 'succeeded': 1, 'failed': 0}, result)
self._verify_cell_data_in_csv(student.username, 'Enrollment Source', 'Credit Card - Individual')
......@@ -445,7 +454,7 @@ class TestInstructorDetailedEnrollmentReport(TestReportMixin, InstructorTaskCour
)
task_input = {'features': []}
with patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task'):
with patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task'):
result = upload_enrollment_report(None, None, self.course.id, task_input, 'generating_enrollment_report')
enrollment_source = u'manually enrolled by username: {username}'.format(
......@@ -485,7 +494,7 @@ class TestInstructorDetailedEnrollmentReport(TestReportMixin, InstructorTaskCour
self.assertEquals(response.status_code, 200)
task_input = {'features': []}
with patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task'):
with patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task'):
result = upload_enrollment_report(None, None, self.course.id, task_input, 'generating_enrollment_report')
self.assertDictContainsSubset({'attempted': 1, 'succeeded': 1, 'failed': 0}, result)
self._verify_cell_data_in_csv(student.username, 'Enrollment Source', 'Used Registration Code')
......@@ -519,7 +528,7 @@ class TestInstructorDetailedEnrollmentReport(TestReportMixin, InstructorTaskCour
self.assertEquals(response.status_code, 200)
task_input = {'features': []}
with patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task'):
with patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task'):
result = upload_enrollment_report(None, None, self.course.id, task_input, 'generating_enrollment_report')
self.assertDictContainsSubset({'attempted': 1, 'succeeded': 1, 'failed': 0}, result)
self._verify_cell_data_in_csv(student.username, 'Enrollment Source', 'Used Registration Code')
......@@ -560,7 +569,7 @@ class TestInstructorDetailedEnrollmentReport(TestReportMixin, InstructorTaskCour
self.assertEquals(response.status_code, 200)
task_input = {'features': []}
with patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task'):
with patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task'):
result = upload_enrollment_report(None, None, self.course.id, task_input, 'generating_enrollment_report')
self.assertDictContainsSubset({'attempted': 1, 'succeeded': 1, 'failed': 0}, result)
self._verify_cell_data_in_csv(student.username, 'Enrollment Source', 'Used Registration Code')
......@@ -594,13 +603,13 @@ class TestProblemGradeReport(TestReportMixin, InstructorTaskModuleTestCase):
self.student_2 = self.create_student(u'üser_2')
self.csv_header_row = [u'Student ID', u'Email', u'Username', u'Grade']
@patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task')
@patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task')
def test_no_problems(self, _get_current_task):
"""
Verify that we see no grade information for a course with no graded
problems.
"""
result = upload_problem_grade_report(None, None, self.course.id, None, 'graded')
result = generate_problem_grade_report(None, None, self.course.id, None, 'graded')
self.assertDictContainsSubset({'action_name': 'graded', 'attempted': 2, 'succeeded': 2, 'failed': 0}, result)
self.verify_rows_in_csv([
dict(zip(
......@@ -613,7 +622,7 @@ class TestProblemGradeReport(TestReportMixin, InstructorTaskModuleTestCase):
))
])
@patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task')
@patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task')
def test_single_problem(self, _get_current_task):
vertical = ItemFactory.create(
parent_location=self.problem_section.location,
......@@ -624,7 +633,7 @@ class TestProblemGradeReport(TestReportMixin, InstructorTaskModuleTestCase):
self.define_option_problem(u'Problem1', parent=vertical)
self.submit_student_answer(self.student_1.username, u'Problem1', ['Option 1'])
result = upload_problem_grade_report(None, None, self.course.id, None, 'graded')
result = generate_problem_grade_report(None, None, self.course.id, None, 'graded')
self.assertDictContainsSubset({'action_name': 'graded', 'attempted': 2, 'succeeded': 2, 'failed': 0}, result)
problem_name = u'Homework 1: Subsection - Problem1'
header_row = self.csv_header_row + [problem_name + ' (Earned)', problem_name + ' (Possible)']
......@@ -649,7 +658,7 @@ class TestProblemGradeReport(TestReportMixin, InstructorTaskModuleTestCase):
))
])
@patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task')
@patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task')
@patch('lms.djangoapps.grades.new.course_grade_factory.CourseGradeFactory.iter')
@ddt.data(u'Cannot grade student', '')
def test_grading_failure(self, error_message, mock_grades_iter, _mock_current_task):
......@@ -661,7 +670,7 @@ class TestProblemGradeReport(TestReportMixin, InstructorTaskModuleTestCase):
mock_grades_iter.return_value = [
(student, None, error_message)
]
result = upload_problem_grade_report(None, None, self.course.id, None, 'graded')
result = generate_problem_grade_report(None, None, self.course.id, None, 'graded')
self.assertDictContainsSubset({'attempted': 1, 'succeeded': 0, 'failed': 1}, result)
report_store = ReportStore.from_config(config_name='GRADES_DOWNLOAD')
......@@ -710,8 +719,8 @@ class TestProblemReportSplitTestContent(TestReportMixin, TestConditionalContent,
self.submit_student_answer(self.student_b.username, self.problem_a_url, [self.OPTION_1, self.OPTION_2])
self.submit_student_answer(self.student_b.username, self.problem_b_url, [self.OPTION_1, self.OPTION_2])
with patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task'):
result = upload_problem_grade_report(None, None, self.course.id, None, 'graded')
with patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task'):
result = generate_problem_grade_report(None, None, self.course.id, None, 'graded')
self.assertDictContainsSubset(
{'action_name': 'graded', 'attempted': 2, 'succeeded': 2, 'failed': 0}, result
)
......@@ -802,8 +811,8 @@ class TestProblemReportSplitTestContent(TestReportMixin, TestConditionalContent,
for problem in problem_names:
header_row += [problem + ' (Earned)', problem + ' (Possible)']
with patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task'):
upload_problem_grade_report(None, None, self.course.id, None, 'graded')
with patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task'):
generate_problem_grade_report(None, None, self.course.id, None, 'graded')
self.assertEquals(self.get_csv_row_with_headers(), header_row)
......@@ -858,8 +867,8 @@ class TestProblemReportCohortedContent(TestReportMixin, ContentGroupTestCase, In
self.assertEqual(resp.status_code, 404)
self.submit_student_answer(self.beta_user.username, u'Problem1', ['Option 1', 'Option 2'])
with patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task'):
result = upload_problem_grade_report(None, None, self.course.id, None, 'graded')
with patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task'):
result = generate_problem_grade_report(None, None, self.course.id, None, 'graded')
self.assertDictContainsSubset(
{'action_name': 'graded', 'attempted': 4, 'succeeded': 4, 'failed': 0}, result
)
......@@ -943,7 +952,7 @@ class TestExecutiveSummaryReport(TestReportMixin, InstructorTaskCourseTestCase):
Test that successfully generates the executive summary report.
"""
task_input = {'features': []}
with patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task'):
with patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task'):
result = upload_exec_summary_report(
None, None, self.course.id,
task_input, 'generating executive summary report'
......@@ -996,7 +1005,7 @@ class TestExecutiveSummaryReport(TestReportMixin, InstructorTaskCourseTestCase):
"""
self.students_purchases()
task_input = {'features': []}
with patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task'):
with patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task'):
result = upload_exec_summary_report(
None, None, self.course.id,
task_input, 'generating executive summary report'
......@@ -1062,7 +1071,7 @@ class TestCourseSurveyReport(TestReportMixin, InstructorTaskCourseTestCase):
Test that successfully generates the course survey report.
"""
task_input = {'features': []}
with patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task'):
with patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task'):
result = upload_course_survey_report(
None, None, self.course.id,
task_input, 'generating course survey report'
......@@ -1077,7 +1086,7 @@ class TestCourseSurveyReport(TestReportMixin, InstructorTaskCourseTestCase):
"""
task_input = {'features': []}
with patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task'):
with patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task'):
result = upload_course_survey_report(
None, None, self.course.id,
task_input, 'generating course survey report'
......@@ -1129,7 +1138,7 @@ class TestStudentReport(TestReportMixin, InstructorTaskCourseTestCase):
def test_success(self):
self.create_student('student', 'student@example.com')
task_input = {'features': []}
with patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task'):
with patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task'):
result = upload_students_csv(None, None, self.course.id, task_input, 'calculated')
report_store = ReportStore.from_config(config_name='GRADES_DOWNLOAD')
links = report_store.links_for(self.course.id)
......@@ -1155,7 +1164,7 @@ class TestStudentReport(TestReportMixin, InstructorTaskCourseTestCase):
'goals'
]
}
with patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task') as mock_current_task:
with patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task') as mock_current_task:
mock_current_task.return_value = self.current_task
result = upload_students_csv(None, None, self.course.id, task_input, 'calculated')
# This assertion simply confirms that the generation completed with no errors
......@@ -1187,7 +1196,7 @@ class TestTeamStudentReport(TestReportMixin, InstructorTaskCourseTestCase):
'goals', 'team'
]
}
with patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task') as mock_current_task:
with patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task') as mock_current_task:
mock_current_task.return_value = current_task
result = upload_students_csv(None, None, self.course.id, task_input, 'calculated')
self.assertDictContainsSubset({'attempted': 2, 'succeeded': 2, 'failed': 0}, result)
......@@ -1244,7 +1253,7 @@ class TestListMayEnroll(TestReportMixin, InstructorTaskCourseTestCase):
def test_success(self):
self._create_enrollment('user@example.com')
task_input = {'features': []}
with patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task'):
with patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task'):
result = upload_may_enroll_csv(None, None, self.course.id, task_input, 'calculated')
report_store = ReportStore.from_config(config_name='GRADES_DOWNLOAD')
links = report_store.links_for(self.course.id)
......@@ -1262,7 +1271,7 @@ class TestListMayEnroll(TestReportMixin, InstructorTaskCourseTestCase):
self._create_enrollment(email)
task_input = {'features': ['email']}
with patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task'):
with patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task'):
result = upload_may_enroll_csv(None, None, self.course.id, task_input, 'calculated')
# This assertion simply confirms that the generation completed with no errors
num_enrollments = len(enrollments)
......@@ -1279,7 +1288,7 @@ class MockDefaultStorage(object):
return open(file_name)
@patch('lms.djangoapps.instructor_task.tasks_helper.DefaultStorage', new=MockDefaultStorage)
@patch('lms.djangoapps.instructor_task.tasks_helper.misc.DefaultStorage', new=MockDefaultStorage)
class TestCohortStudents(TestReportMixin, InstructorTaskCourseTestCase):
"""
Tests that bulk student cohorting works.
......@@ -1301,7 +1310,7 @@ class TestCohortStudents(TestReportMixin, InstructorTaskCourseTestCase):
with tempfile.NamedTemporaryFile() as temp_file:
temp_file.write(csv_data.encode('utf-8'))
temp_file.flush()
with patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task'):
with patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task'):
return cohort_students_and_upload(None, None, self.course.id, {'file_name': temp_file.name}, 'cohorted')
def test_username(self):
......@@ -1509,7 +1518,7 @@ class TestCohortStudents(TestReportMixin, InstructorTaskCourseTestCase):
)
@patch('lms.djangoapps.instructor_task.tasks_helper.DefaultStorage', new=MockDefaultStorage)
@patch('lms.djangoapps.instructor_task.tasks_helper.misc.DefaultStorage', new=MockDefaultStorage)
class TestGradeReport(TestReportMixin, InstructorTaskModuleTestCase):
"""
Test that grade report has correct grade values.
......@@ -1569,8 +1578,8 @@ class TestGradeReport(TestReportMixin, InstructorTaskModuleTestCase):
def test_grade_report(self):
self.submit_student_answer(self.student.username, u'Problem1', ['Option 1'])
with patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task'):
result = upload_grades_csv(None, None, self.course.id, None, 'graded')
with patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task'):
result = generate_course_grade_report(None, None, self.course.id, None, 'graded')
self.assertDictContainsSubset(
{'action_name': 'graded', 'attempted': 1, 'succeeded': 1, 'failed': 0},
result,
......@@ -1594,7 +1603,7 @@ class TestGradeReport(TestReportMixin, InstructorTaskModuleTestCase):
@ddt.ddt
@patch('lms.djangoapps.instructor_task.tasks_helper.DefaultStorage', new=MockDefaultStorage)
@patch('lms.djangoapps.instructor_task.tasks_helper.misc.DefaultStorage', new=MockDefaultStorage)
class TestGradeReportEnrollmentAndCertificateInfo(TestReportMixin, InstructorTaskModuleTestCase):
"""
Test that grade report has correct user enrolment, verification, and certificate information.
......@@ -1644,8 +1653,8 @@ class TestGradeReportEnrollmentAndCertificateInfo(TestReportMixin, InstructorTas
"""
Verify grade report data.
"""
with patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task'):
upload_grades_csv(None, None, self.course.id, None, 'graded')
with patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task'):
generate_course_grade_report(None, None, self.course.id, None, 'graded')
report_store = ReportStore.from_config(config_name='GRADES_DOWNLOAD')
report_csv_filename = report_store.links_for(self.course.id)[0][0]
report_path = report_store.path_to(self.course.id, report_csv_filename)
......@@ -2266,7 +2275,7 @@ class TestCertificateGeneration(InstructorTaskModuleTestCase):
current_task = Mock()
current_task.update_state = Mock()
with patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task') as mock_current_task:
with patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task') as mock_current_task:
mock_current_task.return_value = current_task
with patch('capa.xqueue_interface.XQueueInterface.send_to_queue') as mock_queue:
mock_queue.return_value = (0, "Successfully queued")
......@@ -2314,11 +2323,11 @@ class TestInstructorOra2Report(SharedModuleStoreTestCase):
def test_report_fails_if_error(self):
with patch(
'lms.djangoapps.instructor_task.tasks_helper.OraAggregateData.collect_ora2_data'
'lms.djangoapps.instructor_task.tasks_helper.misc.OraAggregateData.collect_ora2_data'
) as mock_collect_data:
mock_collect_data.side_effect = KeyError
with patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task') as mock_current_task:
with patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task') as mock_current_task:
mock_current_task.return_value = self.current_task
response = upload_ora2_data(None, None, self.course.id, None, 'generated')
......@@ -2329,11 +2338,11 @@ class TestInstructorOra2Report(SharedModuleStoreTestCase):
test_header = ['field1', 'field2']
test_rows = [['row1_field1', 'row1_field2'], ['row2_field1', 'row2_field2']]
with patch('lms.djangoapps.instructor_task.tasks_helper._get_current_task') as mock_current_task:
with patch('lms.djangoapps.instructor_task.tasks_helper.runner._get_current_task') as mock_current_task:
mock_current_task.return_value = self.current_task
with patch(
'lms.djangoapps.instructor_task.tasks_helper.OraAggregateData.collect_ora2_data'
'lms.djangoapps.instructor_task.tasks_helper.misc.OraAggregateData.collect_ora2_data'
) as mock_collect_data:
mock_collect_data.return_value = (test_header, test_rows)
......
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