129 lines
5.0 KiB
Python
129 lines
5.0 KiB
Python
""" receivers of course_published and library_updated events in order to trigger indexing task """
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import logging
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from datetime import datetime
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from functools import wraps
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import six
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from django.core.cache import cache
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from django.dispatch import receiver
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from pytz import UTC
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from contentstore.courseware_index import CoursewareSearchIndexer, LibrarySearchIndexer
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from contentstore.proctoring import register_special_exams
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from lms.djangoapps.grades.api import task_compute_all_grades_for_course
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from openedx.core.djangoapps.credit.signals import on_course_publish
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from openedx.core.lib.gating import api as gating_api
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from track.event_transaction_utils import get_event_transaction_id, get_event_transaction_type
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from util.module_utils import yield_dynamic_descriptor_descendants
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from xmodule.modulestore.django import SignalHandler, modulestore
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from .signals import GRADING_POLICY_CHANGED
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log = logging.getLogger(__name__)
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GRADING_POLICY_COUNTDOWN_SECONDS = 3600
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def locked(expiry_seconds, key):
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def task_decorator(func):
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@wraps(func)
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def wrapper(*args, **kwargs):
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cache_key = '{}-{}'.format(func.__name__, kwargs[key])
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if cache.add(cache_key, "true", expiry_seconds):
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log.info(u'Locking task in cache with key: %s for %s seconds', cache_key, expiry_seconds)
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return func(*args, **kwargs)
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return wrapper
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return task_decorator
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@receiver(SignalHandler.course_published)
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def listen_for_course_publish(sender, course_key, **kwargs): # pylint: disable=unused-argument
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"""
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Receives publishing signal and performs publishing related workflows, such as
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registering proctored exams, building up credit requirements, and performing
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search indexing
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"""
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# first is to registered exams, the credit subsystem will assume that
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# all proctored exams have already been registered, so we have to do that first
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try:
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register_special_exams(course_key)
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# pylint: disable=broad-except
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except Exception as exception:
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log.exception(exception)
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# then call into the credit subsystem (in /openedx/djangoapps/credit)
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# to perform any 'on_publish' workflow
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on_course_publish(course_key)
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# Finally call into the course search subsystem
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# to kick off an indexing action
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if CoursewareSearchIndexer.indexing_is_enabled():
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# import here, because signal is registered at startup, but items in tasks are not yet able to be loaded
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from contentstore.tasks import update_search_index
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update_search_index.delay(six.text_type(course_key), datetime.now(UTC).isoformat())
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@receiver(SignalHandler.library_updated)
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def listen_for_library_update(sender, library_key, **kwargs): # pylint: disable=unused-argument
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"""
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Receives signal and kicks off celery task to update search index
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"""
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if LibrarySearchIndexer.indexing_is_enabled():
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# import here, because signal is registered at startup, but items in tasks are not yet able to be loaded
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from contentstore.tasks import update_library_index
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update_library_index.delay(six.text_type(library_key), datetime.now(UTC).isoformat())
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@receiver(SignalHandler.item_deleted)
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def handle_item_deleted(**kwargs):
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"""
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Receives the item_deleted signal sent by Studio when an XBlock is removed from
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the course structure and removes any gating milestone data associated with it or
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its descendants.
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Arguments:
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kwargs (dict): Contains the content usage key of the item deleted
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Returns:
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None
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"""
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usage_key = kwargs.get('usage_key')
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if usage_key:
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# Strip branch info
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usage_key = usage_key.for_branch(None)
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course_key = usage_key.course_key
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deleted_module = modulestore().get_item(usage_key)
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for module in yield_dynamic_descriptor_descendants(deleted_module, kwargs.get('user_id')):
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# Remove prerequisite milestone data
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gating_api.remove_prerequisite(module.location)
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# Remove any 'requires' course content milestone relationships
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gating_api.set_required_content(course_key, module.location, None, None, None)
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@receiver(GRADING_POLICY_CHANGED)
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@locked(expiry_seconds=GRADING_POLICY_COUNTDOWN_SECONDS, key='course_key')
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def handle_grading_policy_changed(sender, **kwargs):
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# pylint: disable=unused-argument
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"""
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Receives signal and kicks off celery task to recalculate grades
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"""
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kwargs = {
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'course_key': six.text_type(kwargs.get('course_key')),
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'grading_policy_hash': six.text_type(kwargs.get('grading_policy_hash')),
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'event_transaction_id': six.text_type(get_event_transaction_id()),
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'event_transaction_type': six.text_type(get_event_transaction_type()),
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}
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result = task_compute_all_grades_for_course.apply_async(kwargs=kwargs, countdown=GRADING_POLICY_COUNTDOWN_SECONDS)
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log.info(u"Grades: Created {task_name}[{task_id}] with arguments {kwargs}".format(
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task_name=task_compute_all_grades_for_course.name,
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task_id=result.task_id,
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kwargs=kwargs,
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))
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