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edx-platform
Commit d48e90ee by Brian Wilson
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Initial refactoring for bulk_email monitoring.

parent 5d47779b
Showing with 543 additions and 164 deletions
lms/djangoapps/bulk_email/tasks.py
......@@ -4,17 +4,19 @@ to a course.
"""
import math
import re
import time
from uuid import uuid4
from time import time, sleep
import json
from dogapi import dog_stats_api
from smtplib import SMTPServerDisconnected, SMTPDataError, SMTPConnectError
from celery import task, current_task, group
from celery.utils.log import get_task_logger
from django.conf import settings
from django.contrib.auth.models import User, Group
from django.core.mail import EmailMultiAlternatives, get_connection
from django.http import Http404
from celery import task, current_task
from celery.utils.log import get_task_logger
from django.core.urlresolvers import reverse
from bulk_email.models import (
......@@ -23,12 +25,61 @@ from bulk_email.models import (
)
from courseware.access import _course_staff_group_name, _course_instructor_group_name
from courseware.courses import get_course_by_id, course_image_url
from instructor_task.models import InstructorTask, PROGRESS, QUEUING
log = get_task_logger(__name__)
@task(default_retry_delay=10, max_retries=5) # pylint: disable=E1102
def delegate_email_batches(email_id, user_id):
def get_recipient_queryset(user_id, to_option, course_id, course_location):
"""
Generates a query set corresponding to the requested category.
`to_option` is either SEND_TO_MYSELF, SEND_TO_STAFF, or SEND_TO_ALL.
"""
if to_option == SEND_TO_MYSELF:
recipient_qset = User.objects.filter(id=user_id)
elif to_option == SEND_TO_ALL or to_option == SEND_TO_STAFF:
staff_grpname = _course_staff_group_name(course_location)
staff_group, _ = Group.objects.get_or_create(name=staff_grpname)
staff_qset = staff_group.user_set.all()
instructor_grpname = _course_instructor_group_name(course_location)
instructor_group, _ = Group.objects.get_or_create(name=instructor_grpname)
instructor_qset = instructor_group.user_set.all()
recipient_qset = staff_qset | instructor_qset
if to_option == SEND_TO_ALL:
enrollment_qset = User.objects.filter(courseenrollment__course_id=course_id,
courseenrollment__is_active=True)
recipient_qset = recipient_qset | enrollment_qset
recipient_qset = recipient_qset.distinct()
else:
log.error("Unexpected bulk email TO_OPTION found: %s", to_option)
raise Exception("Unexpected bulk email TO_OPTION found: {0}".format(to_option))
recipient_qset = recipient_qset.order_by('pk')
return recipient_qset
def get_course_email_context(course):
"""
Returns context arguments to apply to all emails, independent of recipient.
"""
course_id = course.id
course_title = course.display_name
course_url = 'https://{}{}'.format(
settings.SITE_NAME,
reverse('course_root', kwargs={'course_id': course_id})
)
image_url = 'https://{}{}'.format(settings.SITE_NAME, course_image_url(course))
email_context = {
'course_title': course_title,
'course_url': course_url,
'course_image_url': image_url,
'account_settings_url': 'https://{}{}'.format(settings.SITE_NAME, reverse('dashboard')),
'platform_name': settings.PLATFORM_NAME,
}
return email_context
def perform_delegate_email_batches(entry_id, course_id, task_input, action_name):
"""
Delegates emails by querying for the list of recipients who should
get the mail, chopping up into batches of settings.EMAILS_PER_TASK size,
......@@ -36,17 +87,31 @@ def delegate_email_batches(email_id, user_id):
Returns the number of batches (workers) kicked off.
"""
entry = InstructorTask.objects.get(pk=entry_id)
# get inputs to use in this task from the entry:
#task_id = entry.task_id
user_id = entry.requester.id
# TODO: check this against argument passed in?
# course_id = entry.course_id
email_id = task_input['email_id']
try:
email_obj = CourseEmail.objects.get(id=email_id)
except CourseEmail.DoesNotExist as exc:
# The retry behavior here is necessary because of a race condition between the commit of the transaction
# that creates this CourseEmail row and the celery pipeline that starts this task.
# We might possibly want to move the blocking into the view function rather than have it in this task.
log.warning("Failed to get CourseEmail with id %s, retry %d", email_id, current_task.request.retries)
raise delegate_email_batches.retry(arg=[email_id, user_id], exc=exc)
# log.warning("Failed to get CourseEmail with id %s, retry %d", email_id, current_task.request.retries)
# raise delegate_email_batches.retry(arg=[email_id, user_id], exc=exc)
log.warning("Failed to get CourseEmail with id %s", email_id)
raise
to_option = email_obj.to_option
course_id = email_obj.course_id
# TODO: instead of fetching from email object, compare instead to
# confirm that they match, and raise an exception if they don't.
# course_id = email_obj.course_id
try:
course = get_course_by_id(course_id, depth=1)
......@@ -54,38 +119,32 @@ def delegate_email_batches(email_id, user_id):
log.exception("get_course_by_id failed: %s", exc.args[0])
raise Exception("get_course_by_id failed: " + exc.args[0])
course_url = 'https://{}{}'.format(
settings.SITE_NAME,
reverse('course_root', kwargs={'course_id': course_id})
)
image_url = 'https://{}{}'.format(settings.SITE_NAME, course_image_url(course))
if to_option == SEND_TO_MYSELF:
recipient_qset = User.objects.filter(id=user_id)
elif to_option == SEND_TO_ALL or to_option == SEND_TO_STAFF:
staff_grpname = _course_staff_group_name(course.location)
staff_group, _ = Group.objects.get_or_create(name=staff_grpname)
staff_qset = staff_group.user_set.all()
instructor_grpname = _course_instructor_group_name(course.location)
instructor_group, _ = Group.objects.get_or_create(name=instructor_grpname)
instructor_qset = instructor_group.user_set.all()
recipient_qset = staff_qset | instructor_qset
global_email_context = get_course_email_context(course)
recipient_qset = get_recipient_queryset(user_id, to_option, course_id, course.location)
total_num_emails = recipient_qset.count()
if to_option == SEND_TO_ALL:
enrollment_qset = User.objects.filter(courseenrollment__course_id=course_id,
courseenrollment__is_active=True)
recipient_qset = recipient_qset | enrollment_qset
recipient_qset = recipient_qset.distinct()
else:
log.error("Unexpected bulk email TO_OPTION found: %s", to_option)
raise Exception("Unexpected bulk email TO_OPTION found: {0}".format(to_option))
# At this point, we have some status that we can report, as to the magnitude of the overall
# task. That is, we know the total. Set that, and our subtasks should work towards that goal.
# Note that we add start_time in here, so that it can be used
# by subtasks to calculate duration_ms values:
progress = {'action_name': action_name,
'attempted': 0,
'updated': 0,
'total': total_num_emails,
'duration_ms': int(0),
'start_time': time(),
}
recipient_qset = recipient_qset.order_by('pk')
total_num_emails = recipient_qset.count()
num_queries = int(math.ceil(float(total_num_emails) / float(settings.EMAILS_PER_QUERY)))
last_pk = recipient_qset[0].pk - 1
num_workers = 0
task_list = []
subtask_id_list = []
for _ in range(num_queries):
# Note that if we were doing this for regrading we probably only need 'pk', and not
# either profile__name or email. That's because we'll have to do
# a lot more work in the individual regrade for each user, but using user_id as a key.
# TODO: figure out how to pass these values as an argument, when refactoring this code.
recipient_sublist = list(recipient_qset.order_by('pk').filter(pk__gt=last_pk)
.values('profile__name', 'email', 'pk')[:settings.EMAILS_PER_QUERY])
last_pk = recipient_sublist[-1]['pk']
......@@ -94,20 +153,59 @@ def delegate_email_batches(email_id, user_id):
chunk = int(math.ceil(float(num_emails_this_query) / float(num_tasks_this_query)))
for i in range(num_tasks_this_query):
to_list = recipient_sublist[i * chunk:i * chunk + chunk]
course_email.delay(
subtask_id = str(uuid4())
subtask_id_list.append(subtask_id)
task_list.append(send_course_email.subtask((
email_id,
to_list,
course.display_name,
course_url,
image_url,
global_email_context,
False
)
), task_id=subtask_id
))
num_workers += num_tasks_this_query
return num_workers
# Before we actually start running the tasks we've defined,
# the InstructorTask needs to be updated with their information.
# So at this point, we need to update the InstructorTask object here,
# not in the return.
entry.task_output = InstructorTask.create_output_for_success(progress)
# TODO: the monitoring may need to track a different value here to know
# that it shouldn't go to the InstructorTask's task's Result for its
# progress. It might be that this is getting saved.
# It might be enough, on the other hand, for the monitoring code to see
# that there are subtasks, and that it can scan these for the overall
# status. (And that it shouldn't clobber the progress that is being
# accumulated.) If there are no subtasks, then work as is current.
entry.task_state = PROGRESS
# now write out the subtasks information.
subtask_status = dict.fromkeys(subtask_id_list, QUEUING)
entry.subtasks = json.dumps(subtask_status)
# and save the entry immediately, before any subtasks actually start work:
entry.save_now()
# now group the subtasks, and start them running:
task_group = group(task_list)
task_group_result = task_group.apply_async()
# ISSUE: we can return this result now, but it's not really the result for this task.
# So if we use the task_id to fetch a task result, we won't get this one. But it
# might still work. The caller just has to hold onto this, and access it in some way.
# Ugh. That seems unlikely...
# return task_group_result
# Still want to return progress here, as this is what will be stored in the
# AsyncResult for the parent task as its return value.
# TODO: Humph. But it will be marked as SUCCEEDED. And have
# this return value as it's "result". So be it. The InstructorTask
# will not match, because it will have different info.
return progress
@task(default_retry_delay=15, max_retries=5) # pylint: disable=E1102
def course_email(email_id, to_list, course_title, course_url, image_url, throttle=False):
def send_course_email(email_id, to_list, global_email_context, throttle=False):
"""
Takes a primary id for a CourseEmail object and a 'to_list' of recipient objects--keys are
'profile__name', 'email' (address), and 'pk' (in the user table).
......@@ -116,21 +214,23 @@ def course_email(email_id, to_list, course_title, course_url, image_url, throttl
Sends to all addresses contained in to_list. Emails are sent multi-part, in both plain
text and html.
"""
course_title = global_email_context['course_title']
with dog_stats_api.timer('course_email.single_task.time.overall', tags=[_statsd_tag(course_title)]):
_send_course_email(email_id, to_list, course_title, course_url, image_url, throttle)
_send_course_email(email_id, to_list, global_email_context, throttle)
def _send_course_email(email_id, to_list, course_title, course_url, image_url, throttle):
def _send_course_email(email_id, to_list, global_email_context, throttle):
"""
Performs the email sending task.
"""
try:
msg = CourseEmail.objects.get(id=email_id)
course_email = CourseEmail.objects.get(id=email_id)
except CourseEmail.DoesNotExist:
log.exception("Could not find email id:{} to send.".format(email_id))
raise
# exclude optouts
optouts = (Optout.objects.filter(course_id=msg.course_id,
optouts = (Optout.objects.filter(course_id=course_email.course_id,
user__in=[i['pk'] for i in to_list])
.values_list('user__email', flat=True))
......@@ -139,8 +239,8 @@ def _send_course_email(email_id, to_list, course_title, course_url, image_url, t
to_list = [recipient for recipient in to_list if recipient['email'] not in optouts]
subject = "[" + course_title + "] " + msg.subject
course_title = global_email_context['course_title']
subject = "[" + course_title + "] " + course_email.subject
course_title_no_quotes = re.sub(r'"', '', course_title)
course_num = msg.course_id.split('/')[1] # course_id = 'org/course_num/run'
# Substitute a '_' anywhere a non-(ascii, period, or dash) character appears.
......@@ -164,13 +264,9 @@ def _send_course_email(email_id, to_list, course_title, course_url, image_url, t
# Define context values to use in all course emails:
email_context = {
'name': '',
'email': '',
'course_title': course_title,
'course_url': course_url,
'course_image_url': image_url,
'account_settings_url': 'https://{}{}'.format(settings.SITE_NAME, reverse('dashboard')),
'platform_name': settings.PLATFORM_NAME,
'email': ''
}
email_context.update(global_email_context)
while to_list:
# Update context with user-specific values:
......@@ -179,8 +275,8 @@ def _send_course_email(email_id, to_list, course_title, course_url, image_url, t
email_context['name'] = to_list[-1]['profile__name']
# Construct message content using templates and context:
plaintext_msg = course_email_template.render_plaintext(msg.text_message, email_context)
html_msg = course_email_template.render_htmltext(msg.html_message, email_context)
plaintext_msg = course_email_template.render_plaintext(course_email.text_message, email_context)
html_msg = course_email_template.render_htmltext(course_email.html_message, email_context)
# Create email:
email_msg = EmailMultiAlternatives(
......@@ -194,7 +290,7 @@ def _send_course_email(email_id, to_list, course_title, course_url, image_url, t
# Throttle if we tried a few times and got the rate limiter
if throttle or current_task.request.retries > 0:
time.sleep(0.2)
sleep(0.2)
try:
with dog_stats_api.timer('course_email.single_send.time.overall', tags=[_statsd_tag(course_title)]):
......@@ -227,20 +323,18 @@ def _send_course_email(email_id, to_list, course_title, course_url, image_url, t
# Reasoning is that all of these errors may be temporary condition.
log.warning('Email with id %d not delivered due to temporary error %s, retrying send to %d recipients',
email_id, exc, len(to_list))
raise course_email.retry(
raise send_course_email.retry(
arg=[
email_id,
to_list,
course_title,
course_url,
image_url,
global_email_context,
current_task.request.retries > 0
],
exc=exc,
countdown=(2 ** current_task.request.retries) * 15
)
except:
log.exception('Email with id %d caused course_email task to fail with uncaught exception. To list: %s',
log.exception('Email with id %d caused send_course_email task to fail with uncaught exception. To list: %s',
email_id,
[i['email'] for i in to_list])
# Close the connection before we exit
......
lms/djangoapps/bulk_email/tests/test_email.py
......@@ -13,7 +13,7 @@ from student.tests.factories import UserFactory, GroupFactory, CourseEnrollmentF
from xmodule.modulestore.tests.django_utils import ModuleStoreTestCase
from xmodule.modulestore.tests.factories import CourseFactory
from bulk_email.tasks import delegate_email_batches, course_email
from bulk_email.tasks import send_course_email
from bulk_email.models import CourseEmail, Optout
from mock import patch
......@@ -289,6 +289,9 @@ class TestEmailSendExceptions(ModuleStoreTestCase):
Test that exceptions are handled correctly.
"""
def test_no_course_email_obj(self):
# Make sure course_email handles CourseEmail.DoesNotExist exception.
# Make sure send_course_email handles CourseEmail.DoesNotExist exception.
with self.assertRaises(KeyError):
send_course_email(101, [], {}, False)
with self.assertRaises(CourseEmail.DoesNotExist):
course_email(101, [], "_", "_", "_", False)
send_course_email(101, [], {'course_title': 'Test'}, False)
lms/djangoapps/bulk_email/tests/test_err_handling.py
......@@ -13,7 +13,8 @@ from xmodule.modulestore.tests.factories import CourseFactory
from student.tests.factories import UserFactory, AdminFactory, CourseEnrollmentFactory
from bulk_email.models import CourseEmail
from bulk_email.tasks import delegate_email_batches
from bulk_email.tasks import perform_delegate_email_batches
from instructor_task.models import InstructorTask
from mock import patch, Mock
from smtplib import SMTPDataError, SMTPServerDisconnected, SMTPConnectError
......@@ -43,7 +44,7 @@ class TestEmailErrors(ModuleStoreTestCase):
patch.stopall()
@patch('bulk_email.tasks.get_connection', autospec=True)
@patch('bulk_email.tasks.course_email.retry')
@patch('bulk_email.tasks.send_course_email.retry')
def test_data_err_retry(self, retry, get_conn):
"""
Test that celery handles transient SMTPDataErrors by retrying.
......@@ -65,7 +66,7 @@ class TestEmailErrors(ModuleStoreTestCase):
@patch('bulk_email.tasks.get_connection', autospec=True)
@patch('bulk_email.tasks.course_email_result')
@patch('bulk_email.tasks.course_email.retry')
@patch('bulk_email.tasks.send_course_email.retry')
def test_data_err_fail(self, retry, result, get_conn):
"""
Test that celery handles permanent SMTPDataErrors by failing and not retrying.
......@@ -93,7 +94,7 @@ class TestEmailErrors(ModuleStoreTestCase):
self.assertEquals(sent, settings.EMAILS_PER_TASK / 2)
@patch('bulk_email.tasks.get_connection', autospec=True)
@patch('bulk_email.tasks.course_email.retry')
@patch('bulk_email.tasks.send_course_email.retry')
def test_disconn_err_retry(self, retry, get_conn):
"""
Test that celery handles SMTPServerDisconnected by retrying.
......@@ -113,7 +114,7 @@ class TestEmailErrors(ModuleStoreTestCase):
self.assertIsInstance(exc, SMTPServerDisconnected)
@patch('bulk_email.tasks.get_connection', autospec=True)
@patch('bulk_email.tasks.course_email.retry')
@patch('bulk_email.tasks.send_course_email.retry')
def test_conn_err_retry(self, retry, get_conn):
"""
Test that celery handles SMTPConnectError by retrying.
......@@ -134,7 +135,7 @@ class TestEmailErrors(ModuleStoreTestCase):
self.assertIsInstance(exc, SMTPConnectError)
@patch('bulk_email.tasks.course_email_result')
@patch('bulk_email.tasks.course_email.retry')
@patch('bulk_email.tasks.send_course_email.retry')
@patch('bulk_email.tasks.log')
@patch('bulk_email.tasks.get_connection', Mock(return_value=EmailTestException))
def test_general_exception(self, mock_log, retry, result):
......@@ -152,25 +153,29 @@ class TestEmailErrors(ModuleStoreTestCase):
self.client.post(self.url, test_email)
((log_str, email_id, to_list), _) = mock_log.exception.call_args
self.assertTrue(mock_log.exception.called)
self.assertIn('caused course_email task to fail with uncaught exception.', log_str)
self.assertIn('caused send_course_email task to fail with uncaught exception.', log_str)
self.assertEqual(email_id, 1)
self.assertEqual(to_list, [self.instructor.email])
self.assertFalse(retry.called)
self.assertFalse(result.called)
@patch('bulk_email.tasks.course_email_result')
@patch('bulk_email.tasks.delegate_email_batches.retry')
# @patch('bulk_email.tasks.delegate_email_batches.retry')
@patch('bulk_email.tasks.log')
def test_nonexist_email(self, mock_log, retry, result):
def test_nonexist_email(self, mock_log, result):
"""
Tests retries when the email doesn't exist
"""
delegate_email_batches.delay(-1, self.instructor.id)
((log_str, email_id, _num_retries), _) = mock_log.warning.call_args
# create an InstructorTask object to pass through
course_id = self.course.id
entry = InstructorTask.create(course_id, "task_type", "task_key", "task_input", self.instructor)
task_input = {"email_id": -1}
with self.assertRaises(CourseEmail.DoesNotExist):
perform_delegate_email_batches(entry.id, course_id, task_input, "action_name")
((log_str, email_id), _) = mock_log.warning.call_args
self.assertTrue(mock_log.warning.called)
self.assertIn('Failed to get CourseEmail with id', log_str)
self.assertEqual(email_id, -1)
self.assertTrue(retry.called)
self.assertFalse(result.called)
@patch('bulk_email.tasks.log')
......@@ -178,9 +183,13 @@ class TestEmailErrors(ModuleStoreTestCase):
"""
Tests exception when the course in the email doesn't exist
"""
email = CourseEmail(course_id="I/DONT/EXIST")
course_id = "I/DONT/EXIST"
email = CourseEmail(course_id=course_id)
email.save()
delegate_email_batches.delay(email.id, self.instructor.id)
entry = InstructorTask.create(course_id, "task_type", "task_key", "task_input", self.instructor)
task_input = {"email_id": email.id}
with self.assertRaises(Exception):
perform_delegate_email_batches(entry.id, course_id, task_input, "action_name")
((log_str, _), _) = mock_log.exception.call_args
self.assertTrue(mock_log.exception.called)
self.assertIn('get_course_by_id failed:', log_str)
......@@ -192,7 +201,10 @@ class TestEmailErrors(ModuleStoreTestCase):
"""
email = CourseEmail(course_id=self.course.id, to_option="IDONTEXIST")
email.save()
delegate_email_batches.delay(email.id, self.instructor.id)
entry = InstructorTask.create(self.course.id, "task_type", "task_key", "task_input", self.instructor)
task_input = {"email_id": email.id}
with self.assertRaises(Exception):
perform_delegate_email_batches(entry.id, self.course.id, task_input, "action_name")
((log_str, opt_str), _) = mock_log.error.call_args
self.assertTrue(mock_log.error.called)
self.assertIn('Unexpected bulk email TO_OPTION found', log_str)
......
lms/djangoapps/instructor/views/legacy.py
......@@ -46,7 +46,8 @@ from instructor_task.api import (get_running_instructor_tasks,
get_instructor_task_history,
submit_rescore_problem_for_all_students,
submit_rescore_problem_for_student,
submit_reset_problem_attempts_for_all_students)
submit_reset_problem_attempts_for_all_students,
submit_bulk_course_email)
from instructor_task.views import get_task_completion_info
from mitxmako.shortcuts import render_to_response
from psychometrics import psychoanalyze
......@@ -722,6 +723,13 @@ def instructor_dashboard(request, course_id):
html_message = request.POST.get("message")
text_message = html_to_text(html_message)
# TODO: make sure this is committed before submitting it to the task.
# However, it should probably be enough to do the submit below, which
# will commit the transaction for the InstructorTask object. Both should
# therefore be committed. (Still, it might be clearer to do so here as well.)
# Actually, this should probably be moved out, so that all the validation logic
# we might want to add to it can be added. There might also be something
# that would permit validation of the email beforehand.
email = CourseEmail(
course_id=course_id,
sender=request.user,
......@@ -730,13 +738,11 @@ def instructor_dashboard(request, course_id):
html_message=html_message,
text_message=text_message
)
email.save()
tasks.delegate_email_batches.delay(
email.id,
request.user.id
)
# TODO: make this into a task submission, so that the correct
# InstructorTask object gets created (for monitoring purposes)
submit_bulk_course_email(request, course_id, email.id)
if email_to_option == "all":
email_msg = '<div class="msg msg-confirm"><p class="copy">Your email was successfully queued for sending. Please note that for large public classes (~10k), it may take 1-2 hours to send all emails.</p></div>'
......
lms/djangoapps/instructor_task/api.py
......@@ -6,6 +6,7 @@ already been submitted, filtered either by running state or input
arguments.
"""
import hashlib
from celery.states import READY_STATES
......@@ -14,11 +15,13 @@ from xmodule.modulestore.django import modulestore
from instructor_task.models import InstructorTask
from instructor_task.tasks import (rescore_problem,
reset_problem_attempts,
delete_problem_state)
delete_problem_state,
send_bulk_course_email)
from instructor_task.api_helper import (check_arguments_for_rescoring,
encode_problem_and_student_input,
submit_task)
from bulk_email.models import CourseEmail
def get_running_instructor_tasks(course_id):
......@@ -34,14 +37,18 @@ def get_running_instructor_tasks(course_id):
return instructor_tasks.order_by('-id')
def get_instructor_task_history(course_id, problem_url, student=None):
def get_instructor_task_history(course_id, problem_url=None, student=None, task_type=None):
"""
Returns a query of InstructorTask objects of historical tasks for a given course,
that match a particular problem and optionally a student.
that optionally match a particular problem, a student, and/or a task type.
"""
_, task_key = encode_problem_and_student_input(problem_url, student)
instructor_tasks = InstructorTask.objects.filter(course_id=course_id)
if problem_url is not None or student is not None:
_, task_key = encode_problem_and_student_input(problem_url, student)
instructor_tasks = instructor_tasks.filter(task_key=task_key)
if task_type is not None:
instructor_tasks = instructor_tasks.filter(task_type=task_type)
instructor_tasks = InstructorTask.objects.filter(course_id=course_id, task_key=task_key)
return instructor_tasks.order_by('-id')
......@@ -162,3 +169,43 @@ def submit_delete_problem_state_for_all_students(request, course_id, problem_url
task_class = delete_problem_state
task_input, task_key = encode_problem_and_student_input(problem_url)
return submit_task(request, task_type, task_class, course_id, task_input, task_key)
def submit_bulk_course_email(request, course_id, email_id):
"""
Request to have bulk email sent as a background task.
The specified CourseEmail object will be sent be updated for all students who have enrolled
in a course. Parameters are the `course_id` and the `email_id`, the id of the CourseEmail object.
AlreadyRunningError is raised if the course's students are already being emailed.
TODO: is this the right behavior? Or should multiple emails be allowed in the pipeline at the same time?
This method makes sure the InstructorTask entry is committed.
When called from any view that is wrapped by TransactionMiddleware,
and thus in a "commit-on-success" transaction, an autocommit buried within here
will cause any pending transaction to be committed by a successful
save here. Any future database operations will take place in a
separate transaction.
"""
# check arguments: make sure that the course is defined?
# TODO: what is the right test here?
# modulestore().get_instance(course_id, problem_url)
# This should also make sure that the email exists.
# We can also pull out the To argument here, so that is displayed in
# the InstructorTask status.
email_obj = CourseEmail.objects.get(id=email_id)
to_option = email_obj.to_option
task_type = 'bulk_course_email'
task_class = send_bulk_course_email
# TODO: figure out if we need to encode in a standard way, or if we can get away
# with doing this manually. Shouldn't be hard to make the encode call explicitly,
# and allow no problem_url or student to be defined. Like this:
# task_input, task_key = encode_problem_and_student_input()
task_input = {'email_id': email_id, 'to_option': to_option}
task_key_stub = "{email_id}_{to_option}".format(email_id=email_id, to_option=to_option)
# create the key value by using MD5 hash:
task_key = hashlib.md5(task_key_stub).hexdigest()
return submit_task(request, task_type, task_class, course_id, task_input, task_key)
lms/djangoapps/instructor_task/api_helper.py
......@@ -58,13 +58,14 @@ def _reserve_task(course_id, task_type, task_key, task_input, requester):
return InstructorTask.create(course_id, task_type, task_key, task_input, requester)
def _get_xmodule_instance_args(request):
def _get_xmodule_instance_args(request, task_id):
"""
Calculate parameters needed for instantiating xmodule instances.
The `request_info` will be passed to a tracking log function, to provide information
about the source of the task request. The `xqueue_callback_url_prefix` is used to
permit old-style xqueue callbacks directly to the appropriate module in the LMS.
The `task_id` is also passed to the tracking log function.
"""
request_info = {'username': request.user.username,
'ip': request.META['REMOTE_ADDR'],
......@@ -74,6 +75,7 @@ def _get_xmodule_instance_args(request):
xmodule_instance_args = {'xqueue_callback_url_prefix': get_xqueue_callback_url_prefix(request),
'request_info': request_info,
'task_id': task_id,
}
return xmodule_instance_args
......@@ -214,7 +216,7 @@ def check_arguments_for_rescoring(course_id, problem_url):
def encode_problem_and_student_input(problem_url, student=None):
"""
Encode problem_url and optional student into task_key and task_input values.
Encode optional problem_url and optional student into task_key and task_input values.
`problem_url` is full URL of the problem.
`student` is the user object of the student
......@@ -257,7 +259,7 @@ def submit_task(request, task_type, task_class, course_id, task_input, task_key)
# submit task:
task_id = instructor_task.task_id
task_args = [instructor_task.id, _get_xmodule_instance_args(request)]
task_args = [instructor_task.id, _get_xmodule_instance_args(request, task_id)]
task_class.apply_async(task_args, task_id=task_id)
return instructor_task
return instructor_task
\ No newline at end of file
lms/djangoapps/instructor_task/migrations/0002_add_subtask_field.py 0 → 100644
# -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding field 'InstructorTask.subtasks'
db.add_column('instructor_task_instructortask', 'subtasks',
self.gf('django.db.models.fields.TextField')(default='', blank=True),
keep_default=False)
def backwards(self, orm):
# Deleting field 'InstructorTask.subtasks'
db.delete_column('instructor_task_instructortask', 'subtasks')
models = {
'auth.group': {
'Meta': {'object_name': 'Group'},
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '80'}),
'permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Permission']", 'symmetrical': 'False', 'blank': 'True'})
},
'auth.permission': {
'Meta': {'ordering': "('content_type__app_label', 'content_type__model', 'codename')", 'unique_together': "(('content_type', 'codename'),)", 'object_name': 'Permission'},
'codename': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'content_type': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['contenttypes.ContentType']"}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '50'})
},
'auth.user': {
'Meta': {'object_name': 'User'},
'date_joined': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),
'email': ('django.db.models.fields.EmailField', [], {'max_length': '75', 'blank': 'True'}),
'first_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}),
'groups': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Group']", 'symmetrical': 'False', 'blank': 'True'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'is_active': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
'is_staff': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'is_superuser': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'last_login': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),
'last_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}),
'password': ('django.db.models.fields.CharField', [], {'max_length': '128'}),
'user_permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Permission']", 'symmetrical': 'False', 'blank': 'True'}),
'username': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '30'})
},
'contenttypes.contenttype': {
'Meta': {'ordering': "('name',)", 'unique_together': "(('app_label', 'model'),)", 'object_name': 'ContentType', 'db_table': "'django_content_type'"},
'app_label': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'model': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '100'})
},
'instructor_task.instructortask': {
'Meta': {'object_name': 'InstructorTask'},
'course_id': ('django.db.models.fields.CharField', [], {'max_length': '255', 'db_index': 'True'}),
'created': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'null': 'True', 'blank': 'True'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'requester': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['auth.User']"}),
'subtasks': ('django.db.models.fields.TextField', [], {'blank': 'True'}),
'task_id': ('django.db.models.fields.CharField', [], {'max_length': '255', 'db_index': 'True'}),
'task_input': ('django.db.models.fields.CharField', [], {'max_length': '255'}),
'task_key': ('django.db.models.fields.CharField', [], {'max_length': '255', 'db_index': 'True'}),
'task_output': ('django.db.models.fields.CharField', [], {'max_length': '1024', 'null': 'True'}),
'task_state': ('django.db.models.fields.CharField', [], {'max_length': '50', 'null': 'True', 'db_index': 'True'}),
'task_type': ('django.db.models.fields.CharField', [], {'max_length': '50', 'db_index': 'True'}),
'updated': ('django.db.models.fields.DateTimeField', [], {'auto_now': 'True', 'blank': 'True'})
}
}
complete_apps = ['instructor_task']
\ No newline at end of file
lms/djangoapps/instructor_task/models.py
......@@ -56,6 +56,7 @@ class InstructorTask(models.Model):
requester = models.ForeignKey(User, db_index=True)
created = models.DateTimeField(auto_now_add=True, null=True)
updated = models.DateTimeField(auto_now=True)
subtasks = models.TextField(blank=True) # JSON dictionary
def __repr__(self):
return 'InstructorTask<%r>' % ({
......
lms/djangoapps/instructor_task/tasks.py
......@@ -20,10 +20,15 @@ of the query for traversing StudentModule objects.
"""
from celery import task
from instructor_task.tasks_helper import (update_problem_module_state,
from functools import partial
from instructor_task.tasks_helper import (run_main_task,
perform_module_state_update,
# perform_delegate_email_batches,
rescore_problem_module_state,
reset_attempts_module_state,
delete_problem_module_state)
delete_problem_module_state,
)
from bulk_email.tasks import perform_delegate_email_batches
@task
......@@ -46,11 +51,10 @@ def rescore_problem(entry_id, xmodule_instance_args):
to instantiate an xmodule instance.
"""
action_name = 'rescored'
update_fcn = rescore_problem_module_state
update_fcn = partial(rescore_problem_module_state, xmodule_instance_args)
filter_fcn = lambda(modules_to_update): modules_to_update.filter(state__contains='"done": true')
return update_problem_module_state(entry_id,
update_fcn, action_name, filter_fcn=filter_fcn,
xmodule_instance_args=xmodule_instance_args)
visit_fcn = partial(perform_module_state_update, update_fcn, filter_fcn)
return run_main_task(entry_id, visit_fcn, action_name)
@task
......@@ -69,10 +73,9 @@ def reset_problem_attempts(entry_id, xmodule_instance_args):
to instantiate an xmodule instance.
"""
action_name = 'reset'
update_fcn = reset_attempts_module_state
return update_problem_module_state(entry_id,
update_fcn, action_name, filter_fcn=None,
xmodule_instance_args=xmodule_instance_args)
update_fcn = partial(reset_attempts_module_state, xmodule_instance_args)
visit_fcn = partial(perform_module_state_update, update_fcn, None)
return run_main_task(entry_id, visit_fcn, action_name)
@task
......@@ -91,7 +94,24 @@ def delete_problem_state(entry_id, xmodule_instance_args):
to instantiate an xmodule instance.
"""
action_name = 'deleted'
update_fcn = delete_problem_module_state
return update_problem_module_state(entry_id,
update_fcn, action_name, filter_fcn=None,
xmodule_instance_args=xmodule_instance_args)
update_fcn = partial(delete_problem_module_state, xmodule_instance_args)
visit_fcn = partial(perform_module_state_update, update_fcn, None)
return run_main_task(entry_id, visit_fcn, action_name)
@task
def send_bulk_course_email(entry_id, xmodule_instance_args):
"""Sends emails to in a course.
`entry_id` is the id value of the InstructorTask entry that corresponds to this task.
The entry contains the `course_id` that identifies the course, as well as the
`task_input`, which contains task-specific input.
The task_input should be a dict with no entries.
`xmodule_instance_args` provides information needed by _get_module_instance_for_task()
to instantiate an xmodule instance.
"""
action_name = 'emailed'
visit_fcn = perform_delegate_email_batches
return run_main_task(entry_id, visit_fcn, action_name, spawns_subtasks=True)
lms/djangoapps/instructor_task/tasks_helper.py
......@@ -3,7 +3,6 @@ This file contains tasks that are designed to perform background operations on t
running state of a course.
"""
import json
from time import time
from sys import exc_info
......@@ -11,11 +10,10 @@ from traceback import format_exc
from celery import current_task
from celery.utils.log import get_task_logger
from celery.signals import worker_process_init
from celery.states import SUCCESS, FAILURE
from django.contrib.auth.models import User
from django.db import transaction
from django.db import transaction, reset_queries
from dogapi import dog_stats_api
from xmodule.modulestore.django import modulestore
......@@ -49,8 +47,8 @@ def _get_current_task():
return current_task
def _perform_module_state_update(course_id, module_state_key, student_identifier, update_fcn, action_name, filter_fcn,
xmodule_instance_args):
# def perform_module_state_update(course_id, module_state_key, student_identifier, update_fcn, action_name, filter_fcn):
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.
......@@ -85,6 +83,9 @@ def _perform_module_state_update(course_id, module_state_key, student_identifier
# get start time for task:
start_time = time()
module_state_key = task_input.get('problem_url')
student_identifier = task_input.get('student')
# find the problem descriptor:
module_descriptor = modulestore().get_instance(course_id, module_state_key)
......@@ -92,8 +93,8 @@ def _perform_module_state_update(course_id, module_state_key, student_identifier
modules_to_update = StudentModule.objects.filter(course_id=course_id,
module_state_key=module_state_key)
# give the option of rescoring an individual student. If not specified,
# then rescores all students who have responded to a problem so far
# 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,
......@@ -132,7 +133,7 @@ def _perform_module_state_update(course_id, module_state_key, student_identifier
# 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=['action:{name}'.format(name=action_name)]):
if update_fcn(module_descriptor, module_to_update, xmodule_instance_args):
if update_fcn(module_descriptor, module_to_update):
# If the update_fcn returns true, then it performed some kind of work.
# Logging of failures is left to the update_fcn itself.
num_updated += 1
......@@ -144,16 +145,20 @@ def _perform_module_state_update(course_id, module_state_key, student_identifier
return task_progress
def update_problem_module_state(entry_id, update_fcn, action_name, filter_fcn,
xmodule_instance_args):
def run_main_task(entry_id, task_fcn, action_name, spawns_subtasks=False):
"""
Applies the `task_fcn` to the arguments defined in `entry_id` InstructorTask.
TODO: UPDATE THIS DOCSTRING
(IT's not just visiting StudentModule instances....)
Performs generic update by visiting StudentModule instances with the update_fcn provided.
The `entry_id` is the primary key for the InstructorTask entry representing the task. This function
updates the entry on success and failure of the _perform_module_state_update function it
updates the entry on success and failure of the perform_module_state_update function 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.
Other arguments are pass-throughs to perform_module_state_update, and documented there.
If no exceptions are raised, a dict containing the task's result is returned, with the following keys:
......@@ -187,15 +192,15 @@ def update_problem_module_state(entry_id, update_fcn, action_name, filter_fcn,
task_id = entry.task_id
course_id = entry.course_id
task_input = json.loads(entry.task_input)
module_state_key = task_input.get('problem_url')
student_ident = task_input['student'] if 'student' in task_input else None
fmt = 'Starting to update problem modules as task "{task_id}": course "{course_id}" problem "{state_key}": nothing {action} yet'
TASK_LOG.info(fmt.format(task_id=task_id, course_id=course_id, state_key=module_state_key, action=action_name))
# construct log message:
# TODO: generalize this beyond just problem and student, so it includes email_id and to_option.
# Can we just loop over all keys and output them all? Just print the task_input dict itself?
module_state_key = task_input.get('problem_url')
fmt = 'task "{task_id}": course "{course_id}" problem "{state_key}"'
task_info_string = fmt.format(task_id=task_id, course_id=course_id, state_key=module_state_key)
# add task_id to xmodule_instance_args, so that it can be output with tracking info:
if xmodule_instance_args is not None:
xmodule_instance_args['task_id'] = task_id
TASK_LOG.info('Starting update (nothing %s yet): %s', action_name, task_info_string)
# Now that we have an entry we can try to catch failures:
task_progress = None
......@@ -204,21 +209,47 @@ def update_problem_module_state(entry_id, update_fcn, action_name, filter_fcn,
# that is running.
request_task_id = _get_current_task().request.id
if task_id != request_task_id:
fmt = 'Requested task "{task_id}" did not match actual task "{actual_id}"'
message = fmt.format(task_id=task_id, course_id=course_id, state_key=module_state_key, actual_id=request_task_id)
fmt = 'Requested task did not match actual task "{actual_id}": {task_info}'
message = fmt.format(actual_id=request_task_id, task_info=task_info_string)
TASK_LOG.error(message)
raise UpdateProblemModuleStateError(message)
# Now do the work:
with dog_stats_api.timer('instructor_tasks.module.time.overall', tags=['action:{name}'.format(name=action_name)]):
task_progress = _perform_module_state_update(course_id, module_state_key, student_ident, update_fcn,
action_name, filter_fcn, xmodule_instance_args)
with dog_stats_api.timer('instructor_tasks.time.overall', tags=['action:{name}'.format(name=action_name)]):
# REMOVE: task_progress = visit_fcn(course_id, module_state_key, student_ident, update_fcn, action_name, filter_fcn)
task_progress = task_fcn(entry_id, course_id, task_input, action_name)
# If we get here, we assume we've succeeded, so update the InstructorTask entry in anticipation.
# But we do this within the try, in case creating the task_output causes an exception to be
# raised.
entry.task_output = InstructorTask.create_output_for_success(task_progress)
entry.task_state = SUCCESS
entry.save_now()
# TODO: This is not the case if there are outstanding subtasks that were spawned asynchronously
# as part of the main task. There is probably some way to represent this more elegantly, but for
# now, we will just use an explicit flag.
if spawns_subtasks:
# we change the rules here. If it's a task with subtasks running, then we
# explicitly set its state, with the idea that progress will be updated
# directly into the InstructorTask object, rather than into the parent task's
# AsyncResult object. This is because we have to write to the InstructorTask
# object anyway, so we may as well put status in there. And because multiple
# clients are writing to it, we need the locking that a DB can provide, rather
# than the speed that the AsyncResult provides.
# So we need to change the logic of the monitor to pull status from the
# InstructorTask directly when the state is PROGRESS, and to pull from the
# AsyncResult when it's running but not marked as in PROGRESS state. (I.e.
# if it's started.) Admittedly, it's misnamed, but it should work.
# But we've already started the subtasks by the time we get here,
# so these values should already have been written. Too late.
# entry.task_output = InstructorTask.create_output_for_success(task_progress)
# entry.task_state = PROGRESS
# Weird. Note that by exiting this function successfully, will
# result in the AsyncResult for this task as being marked as SUCCESS.
# Below, we were just marking the entry to match. But it shouldn't
# match, if it's not really done.
pass
else:
entry.task_output = InstructorTask.create_output_for_success(task_progress)
entry.task_state = SUCCESS
entry.save_now()
except Exception:
# try to write out the failure to the entry before failing
......@@ -230,9 +261,11 @@ def update_problem_module_state(entry_id, update_fcn, action_name, filter_fcn,
entry.save_now()
raise
# Release any queries that the connection has been hanging onto:
reset_queries()
# log and exit, returning task_progress info as task result:
fmt = 'Finishing task "{task_id}": course "{course_id}" problem "{state_key}": final: {progress}'
TASK_LOG.info(fmt.format(task_id=task_id, course_id=course_id, state_key=module_state_key, progress=task_progress))
TASK_LOG.info('Finishing %s: final: %s', task_info_string, task_progress)
return task_progress
......@@ -241,6 +274,29 @@ def _get_task_id_from_xmodule_args(xmodule_instance_args):
return xmodule_instance_args.get('task_id', UNKNOWN_TASK_ID) if xmodule_instance_args is not None else UNKNOWN_TASK_ID
def _get_xqueue_callback_url_prefix(xmodule_instance_args):
"""
"""
return xmodule_instance_args.get('xqueue_callback_url_prefix', '') if xmodule_instance_args is not None else ''
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):
"""
......@@ -277,7 +333,7 @@ def _get_module_instance_for_task(course_id, student, module_descriptor, xmodule
@transaction.autocommit
def rescore_problem_module_state(module_descriptor, student_module, xmodule_instance_args=None):
def rescore_problem_module_state(xmodule_instance_args, module_descriptor, student_module):
'''
Takes an XModule descriptor and a corresponding StudentModule object, and
performs rescoring on the student's problem submission.
......@@ -327,7 +383,7 @@ def rescore_problem_module_state(module_descriptor, student_module, xmodule_inst
@transaction.autocommit
def reset_attempts_module_state(_module_descriptor, student_module, xmodule_instance_args=None):
def reset_attempts_module_state(xmodule_instance_args, _module_descriptor, student_module):
"""
Resets problem attempts to zero for specified `student_module`.
......@@ -343,17 +399,16 @@ def reset_attempts_module_state(_module_descriptor, student_module, xmodule_inst
student_module.save()
# 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_module.student.username, "task_id": _get_task_id_from_xmodule_args(xmodule_instance_args)}
track_function = _get_track_function_for_task(student_module.student, xmodule_instance_args)
event_info = {"old_attempts": old_number_of_attempts, "new_attempts": 0}
task_track(request_info, task_info, 'problem_reset_attempts', event_info, page='x_module_task')
track_function('problem_reset_attempts', event_info)
# consider the reset to be successful, even if no update was performed. (It's just "optimized".)
return True
@transaction.autocommit
def delete_problem_module_state(_module_descriptor, student_module, xmodule_instance_args=None):
def delete_problem_module_state(xmodule_instance_args, _module_descriptor, student_module):
"""
Delete the StudentModule entry.
......@@ -362,7 +417,47 @@ def delete_problem_module_state(_module_descriptor, student_module, xmodule_inst
student_module.delete()
# 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_module.student.username, "task_id": _get_task_id_from_xmodule_args(xmodule_instance_args)}
task_track(request_info, task_info, 'problem_delete_state', {}, page='x_module_task')
track_function = _get_track_function_for_task(student_module.student, xmodule_instance_args)
track_function('problem_delete_state', {})
return True
#def perform_delegate_email_batches(entry_id, course_id, task_input, action_name):
# """
# """
# # Get start time for task:
# start_time = time()
#
# # perform the main loop
# num_updated = 0
# num_attempted = 0
# num_total = enrolled_students.count()
#
# def get_task_progress():
# """Return a dict containing info about current task"""
# current_time = time()
# progress = {'action_name': action_name,
# 'attempted': num_attempted,
# 'updated': num_updated,
# 'total': num_total,
# 'duration_ms': int((current_time - start_time) * 1000),
# }
# return progress
#
# task_progress = get_task_progress()
# _get_current_task().update_state(state=PROGRESS, meta=task_progress)
# for enrolled_student in enrolled_students:
# num_attempted += 1
# # 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.student.time.step', tags=['action:{name}'.format(name=action_name)]):
# if update_fcn(course_descriptor, enrolled_student):
# # If the update_fcn returns true, then it performed some kind of work.
# # Logging of failures is left to the update_fcn itself.
# num_updated += 1
#
# # update task status:
# task_progress = get_task_progress()
# _get_current_task().update_state(state=PROGRESS, meta=task_progress)
#
# return task_progress
lms/djangoapps/instructor_task/tests/test_tasks.py
......@@ -23,7 +23,7 @@ from instructor_task.models import InstructorTask
from instructor_task.tests.test_base import InstructorTaskModuleTestCase
from instructor_task.tests.factories import InstructorTaskFactory
from instructor_task.tasks import rescore_problem, reset_problem_attempts, delete_problem_state
from instructor_task.tasks_helper import UpdateProblemModuleStateError, update_problem_module_state
from instructor_task.tasks_helper import UpdateProblemModuleStateError #, update_problem_module_state
PROBLEM_URL_NAME = "test_urlname"
......@@ -313,17 +313,17 @@ class TestInstructorTasks(InstructorTaskModuleTestCase):
def test_delete_with_short_error_msg(self):
self._test_run_with_short_error_msg(delete_problem_state)
def test_successful_result_too_long(self):
def teDONTst_successful_result_too_long(self):
# while we don't expect the existing tasks to generate output that is too
# long, we can test the framework will handle such an occurrence.
task_entry = self._create_input_entry()
self.define_option_problem(PROBLEM_URL_NAME)
action_name = 'x' * 1000
update_fcn = lambda(_module_descriptor, _student_module, _xmodule_instance_args): True
task_function = (lambda entry_id, xmodule_instance_args:
update_problem_module_state(entry_id,
update_fcn, action_name, filter_fcn=None,
xmodule_instance_args=None))
# task_function = (lambda entry_id, xmodule_instance_args:
# update_problem_module_state(entry_id,
# update_fcn, action_name, filter_fcn=None,
# xmodule_instance_args=None))
with self.assertRaises(ValueError):
self._run_task_with_mock_celery(task_function, task_entry.id, task_entry.task_id)
......
lms/djangoapps/instructor_task/tests/test_views.py
......@@ -262,4 +262,4 @@ class InstructorTaskReportTest(InstructorTaskTestCase):
instructor_task.task_input = "{ bad"
succeeded, message = get_task_completion_info(instructor_task)
self.assertFalse(succeeded)
self.assertEquals(message, "Problem rescored for 2 of 3 students (out of 5)")
self.assertEquals(message, "Status: rescored 2 of 3 (out of 5)")
lms/djangoapps/instructor_task/views.py
......@@ -40,7 +40,7 @@ def instructor_task_status(request):
Status is returned as a JSON-serialized dict, wrapped as the content of a HTTPResponse.
The task_id can be specified to this view in one of three ways:
The task_id can be specified to this view in one of two ways:
* by making a request containing 'task_id' as a parameter with a single value
Returns a dict containing status information for the specified task_id
......@@ -133,6 +133,8 @@ def get_task_completion_info(instructor_task):
num_total = task_output['total']
student = None
problem_url = None
email_id = None
try:
task_input = json.loads(instructor_task.task_input)
except ValueError:
......@@ -140,11 +142,14 @@ def get_task_completion_info(instructor_task):
log.warning(fmt.format(instructor_task.task_id, instructor_task.task_input))
else:
student = task_input.get('student')
problem_url = task_input.get('problem_url')
email_id = task_input.get('email_id')
if instructor_task.task_state == PROGRESS:
# special message for providing progress updates:
msg_format = "Progress: {action} {updated} of {attempted} so far"
elif student is not None:
elif student is not None and problem_url is not None:
# this reports on actions on problems for a particular student:
if num_attempted == 0:
msg_format = "Unable to find submission to be {action} for student '{student}'"
elif num_updated == 0:
......@@ -152,15 +157,31 @@ def get_task_completion_info(instructor_task):
else:
succeeded = True
msg_format = "Problem successfully {action} for student '{student}'"
elif num_attempted == 0:
msg_format = "Unable to find any students with submissions to be {action}"
elif num_updated == 0:
msg_format = "Problem failed to be {action} for any of {attempted} students"
elif num_updated == num_attempted:
succeeded = True
msg_format = "Problem successfully {action} for {attempted} students"
else: # num_updated < num_attempted
msg_format = "Problem {action} for {updated} of {attempted} students"
elif student is None and problem_url is not None:
# this reports on actions on problems for all students:
if num_attempted == 0:
msg_format = "Unable to find any students with submissions to be {action}"
elif num_updated == 0:
msg_format = "Problem failed to be {action} for any of {attempted} students"
elif num_updated == num_attempted:
succeeded = True
msg_format = "Problem successfully {action} for {attempted} students"
else: # num_updated < num_attempted
msg_format = "Problem {action} for {updated} of {attempted} students"
elif email_id is not None:
# this reports on actions on bulk emails
if num_attempted == 0:
msg_format = "Unable to find any recipients to be {action}"
elif num_updated == 0:
msg_format = "Message failed to be {action} for any of {attempted} recipients "
elif num_updated == num_attempted:
succeeded = True
msg_format = "Message successfully {action} for {attempted} recipients"
else: # num_updated < num_attempted
msg_format = "Message {action} for {updated} of {attempted} recipients"
else:
# provide a default:
msg_format = "Status: {action} {updated} of {attempted}"
if student is None and num_attempted != num_total:
msg_format += " (out of {total})"
......
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