def _acceptSubmission(request, course, exercise, post_url, sdir):
'''
Queues the submission for grading.
'''
# Backup synchronous grading.
if not settings.CELERY_BROKER:
LOGGER.warning("No queue configured")
from grader.runactions import runactions
r = runactions(course, exercise, sdir, get_uid(request), int(request.GET.get("ordinal_number", 1)))
html = template_to_str(course, exercise, "", r["template"], r["result"])
return render_template(request, course, exercise, post_url,
"access/async_accepted.html", {
"synchronous": True,
"accepted": True,
"max_points": r["result"].get("max_points", 1),
"points": r["result"].get("points", 0),
"feedback": html,
})
if "submission_url" in request.GET:
surl = request.GET["submission_url"]
surl_missing = False
else:
LOGGER.warning("submission_url missing from a request")
surl = request.build_absolute_uri(reverse('test-result'))
surl_missing = True
# Queue grader.
tasks.grade.delay(course["key"], exercise["key"],
translation.get_language(), surl, sdir, get_uid(request),
int(request.GET.get("ordinal_number", 1)))
_acceptSubmission.counter += 1
qlen = queue_length()
LOGGER.debug("Submission of %s/%s, queue counter %d, queue length %d",
course["key"], exercise["key"], _acceptSubmission.counter, qlen)
if qlen >= settings.QUEUE_ALERT_LENGTH:
LOGGER.error("Queue alert, length: %d", qlen)
return render_template(request, course, exercise, post_url,
"access/async_accepted.html", {
"accepted": True,
"wait": True,
"missing_url": surl_missing,
"queue": qlen
})
def handle(self, *args, **options):
config = ConfigParser()
# Check arguments.
if len(args) < 1 or "/" not in args[0]:
raise CommandError("Required arguments missing: course_key/exercise_key")
course_key, exercise_key = args[0].split("/", 1)
# Get exercise configuration.
(course, exercise) = config.exercise_entry(course_key, exercise_key)
if course is None:
raise CommandError("Course not found for key: %s" % (course_key))
if exercise is None:
raise CommandError("Exercise not found for key: %s/%s" % (course_key, exercise_key))
self.stdout.write('Exercise configuration retrieved.')
# Check exercise type.
if not "actions" in exercise:
raise CommandError("Cannot grade: exercise does not configure asynchronous actions")
# Create submission.
sdir = create_submission_dir(course, exercise)
if len(args) == 1:
os.makedirs(sdir + "/user")
for n in range(1, len(args)):
name = args[n]
# Copy individual files.
if os.path.isfile(name):
submit_path = submission_file_path(sdir, os.path.basename(name))
shutil.copy2(name, submit_path)
# Copy a directory.
elif os.path.isdir(name):
if len(args) != 2:
raise CommandError("Can only submit one directory or multiple files.")
shutil.copytree(name, sdir + "/user", True)
else:
raise CommandError("Submit file not found: %s" % (name))
# Run actions.
r = runactions(course, exercise, sdir)
self.stdout.write("Response body:")
self.stdout.write(template_to_str(course, exercise, "", r["template"], r["result"]))
def grade(course_key, exercise_key, lang, submission_url, submission_dir):
'''
Grades the submission using configured grading actions.
@type course_key: C{str}
@param course: a course key
@type exercise: C{str}
@param exercise: an exercise key
@type lang: C{str}
@param lang: a language code
@type submission_url: C{str}
@param submission_url: a submission URL where grader should POST result
@type submission_dir: C{str}
@param submission_dir: a submission directory where submitted files are stored
'''
translation.activate(lang)
(course, exercise) = config.exercise_entry(course_key, exercise_key, lang=lang)
if course is None or exercise is None:
LOGGER.error("Unknown exercise \"%s/%s\" for \"%s\"", course_key, exercise_key, submission_url)
post_system_error(submission_url, course)
try:
LOGGER.debug("Grading \"%s/%s\" for \"%s\"", course_key, exercise_key, submission_url)
r = runactions(course, exercise, submission_dir)
if r["result"]["error"]:
level = 40 if r["result"]["error"] == "error" else 30
LOGGER.log(level, "Grading \"%s/%s\" for \"%s\" failed. "
"Expected success for the last action:\n\n%s\n\n%s",
course_key, exercise_key, submission_url,
r["result"]["tests"][-1]["out"],
r["result"]["tests"][-1]["err"])
else:
LOGGER.debug("Finished grading with points: %d/%d",
r["result"]["points"], r["result"]["max_points"])
post_result(submission_url, course, exercise, r["template"], r["result"])
except SoftTimeLimitExceeded:
LOGGER.error("Grading timeout \"%s/%s\" for \"%s\"", course_key, exercise_key, submission_url)
post_result(submission_url, course, exercise, "access/task_timeout.html", { "error": True })
except Exception:
LOGGER.exception("Grading error \"%s/%s\" for \"%s\"", course_key, exercise_key, submission_url)
post_system_error(submission_url, course, exercise)
def _acceptSubmission(request, course, exercise, post_url, sdir):
'''
Queues the submission for grading.
'''
uids = get_uid(request)
attempt = int(request.GET.get("ordinal_number", 1))
container_flag = settings.CONTAINER_MODE and "container" in exercise
# Backup synchronous grading.
if not container_flag and not settings.CELERY_BROKER:
LOGGER.warning("No queue configured")
from grader.runactions import runactions
r = runactions(course, exercise, sdir, uids, attempt)
html = template_to_str(course, exercise, "", r["template"],
r["result"])
return render_template(
request, course, exercise, post_url, "access/async_accepted.html",
{
"synchronous": True,
"accepted": True,
"max_points": r["result"].get("max_points", 1),
"points": r["result"].get("points", 0),
"feedback": html,
})
if "submission_url" in request.GET:
surl = request.GET["submission_url"]
surl_missing = False
else:
LOGGER.warning("submission_url missing from a request")
surl = request.build_absolute_uri(reverse('test-result'))
surl_missing = True
_acceptSubmission.counter += 1
# Order container for grading.
if container_flag:
c = _requireContainer(exercise)
course_extra = {
"key": course["key"],
"name": course["name"],
}
exercise_extra = {
"key": exercise["key"],
"title": exercise.get("title", None),
}
if exercise.get("personalized", False):
exercise_extra["personalized_exercise"] \
= select_generated_exercise_instance(course, exercise, uids, attempt)
if settings.ENABLE_PERSONAL_DIRECTORIES:
exercise_extra["personal_directory"] \
= user_personal_directory_path(course, exercise, uids)
sid = os.path.basename(sdir)
write_submission_meta(sid, {
"url": surl,
"dir": sdir,
})
r = invoke([
settings.CONTAINER_SCRIPT,
sid,
request.scheme + "://" + request.get_host(),
c["image"],
os.path.join(DIR, course["key"], c["mount"]),
sdir,
c["cmd"],
json.dumps(course_extra),
json.dumps(exercise_extra),
])
LOGGER.debug("Container order exit=%d out=%s err=%s", r["code"],
r["out"], r["err"])
qlen = 1
# Queue in celery & rabbitmq for chroot sandbox actions.
else:
tasks.grade.delay(course["key"], exercise["key"],
translation.get_language(), surl, sdir, uids,
attempt)
qlen = queue_length()
LOGGER.debug("Submission of %s/%s, queue counter %d, queue length %d",
course["key"], exercise["key"], _acceptSubmission.counter,
qlen)
if qlen >= settings.QUEUE_ALERT_LENGTH:
LOGGER.error("Queue alert, length: %d", qlen)
return render_template(request, course, exercise, post_url,
"access/async_accepted.html", {
"accepted": True,
"wait": True,
"missing_url": surl_missing,
"queue": qlen
})
def _acceptSubmission(request, course, exercise, post_url, sdir):
'''
Queues the submission for grading.
'''
uids = get_uid(request)
attempt = int(request.GET.get("ordinal_number", 1))
container_flag = settings.CONTAINER_MODE and "container" in exercise
# Backup synchronous grading.
if not container_flag and not settings.CELERY_BROKER:
LOGGER.warning("No queue configured")
from grader.runactions import runactions
r = runactions(course, exercise, sdir, uids, attempt)
html = template_to_str(course, exercise, "", r["template"], r["result"])
return render_template(request, course, exercise, post_url,
"access/async_accepted.html", {
"synchronous": True,
"accepted": True,
"max_points": r["result"].get("max_points", 1),
"points": r["result"].get("points", 0),
"feedback": html,
})
if "submission_url" in request.GET:
surl = request.GET["submission_url"]
surl_missing = False
else:
LOGGER.warning("submission_url missing from a request")
surl = request.build_absolute_uri(reverse('test-result'))
surl_missing = True
_acceptSubmission.counter += 1
# Order container for grading.
if container_flag:
c = _requireContainer(exercise)
course_extra = {
"key": course["key"],
"name": course["name"],
}
exercise_extra = {
"key": exercise["key"],
"title": exercise.get("title", None),
"resources": c.get("resources", {}), # Unofficial param, implemented differently later
"require_constant_environment": c.get("require_constant_environment", False) # Unofficial param, implemented differently later
}
if exercise.get("personalized", False):
exercise_extra["personalized_exercise"] \
= select_generated_exercise_instance(course, exercise, uids, attempt)
if settings.ENABLE_PERSONAL_DIRECTORIES:
exercise_extra["personal_directory"] \
= user_personal_directory_path(course, exercise, uids)
sid = os.path.basename(sdir)
write_submission_meta(sid, {
"url": surl,
"dir": sdir,
"course_key": course["key"],
"exercise_key": exercise["key"],
"lang": translation.get_language(),
})
r = invoke([
settings.CONTAINER_SCRIPT,
sid,
request.scheme + "://" + request.get_host(),
c["image"],
os.path.join(DIR, course["key"], c["mount"]),
sdir,
c["cmd"],
json.dumps(course_extra),
json.dumps(exercise_extra),
])
LOGGER.debug("Container order exit=%d out=%s err=%s",
r["code"], r["out"], r["err"])
qlen = 1
# Queue in celery & rabbitmq for chroot sandbox actions.
else:
tasks.grade.delay(course["key"], exercise["key"],
translation.get_language(), surl, sdir, uids, attempt)
qlen = queue_length()
LOGGER.debug("Submission of %s/%s, queue counter %d, queue length %d",
course["key"], exercise["key"], _acceptSubmission.counter, qlen)
if qlen >= settings.QUEUE_ALERT_LENGTH:
LOGGER.error("Queue alert, length: %d", qlen)
return render_template(request, course, exercise, post_url,
"access/async_accepted.html", {
"accepted": True,
"wait": True,
"missing_url": surl_missing,
"queue": qlen
})