def createForm(request, course, exercise, post_url):
'''
Creates form by configuration and grades answers.
'''
if "max_points" not in exercise:
raise ConfigError("Missing required \"max_points\" in exercise configuration")
try:
acceptNonce(request)
except PermissionDenied:
return render_template(request, course, exercise, post_url,
'access/exercise_frame.html', { "error":True, "nonce_used":True })
form = GradedForm(request.POST or None, exercise=exercise)
result = { "form": form }
# Grade valid form posts.
if form.is_valid():
(points, error_groups, error_fields) = form.grade()
points = pointsInRange(points, exercise["max_points"])
# If points are not granted by form fields.
if points == 0 and not error_fields:
points = exercise["max_points"]
result = { "form": form, "accepted": True, "points": points,
"error_groups": error_groups, "error_fields": error_fields }
return render_configured_template(request, course, exercise, post_url,
'access/create_form_default.html', result)
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 createFormModel(request, course, exercise, parameter):
form = GradedForm(None, exercise=exercise, show_correct=True)
form.bind_initial()
points,error_groups,error_fields = form.grade()
result = { "form": form, "accepted": True, "points": points,
"error_groups": error_groups, "error_fields": error_fields }
return render_template(request, course, exercise, None,
'access/graded_form.html', result)
def createForm(request, course, exercise, post_url):
'''
Creates form by configuration and grades answers.
'''
if "max_points" not in exercise:
raise ConfigError("Missing required \"max_points\" in exercise configuration")
try:
acceptNonce(request)
except PermissionDenied:
return render_template(request, course, exercise, post_url,
'access/exercise_frame.html', { "error":True, "nonce_used":True })
last = False
if request.method == 'POST':
try:
n = int(request.GET.get('ordinal_number', '0'))
max_n = int(request.GET.get('max_submissions', '0'))
except ValueError:
pass
last = max_n > 0 and n >= max_n
form = GradedForm(request.POST or None, request.FILES or None,
exercise=exercise, show_correct_once=last)
# Support caching of non personalized forms.
if not form.randomized and not_modified_since(request, exercise):
return not_modified_response(request, exercise)
result = { "form": form, "rejected": True }
# Grade valid form posts.
if form.is_valid():
(points, error_groups, error_fields) = form.grade()
points = pointsInRange(points, exercise["max_points"])
# Allow passing to asynchronous grading.
if "actions" in exercise or "container" in exercise:
from .stdasync import _saveForm
return _saveForm(request, course, exercise, post_url, form)
# If points are not granted by form fields.
if points == 0 and not error_fields:
points = exercise["max_points"]
result = { "form": form, "accepted": True, "points": points,
"error_groups": error_groups, "error_fields": error_fields }
return cache_headers(
render_configured_template(
request, course, exercise, post_url,
'access/create_form_default.html', result
),
request,
exercise,
form.randomized,
)
def createFormModel(request, course, exercise, parameter):
form = GradedForm(None, exercise=exercise, show_correct=True)
form.bind_initial()
points, error_groups, error_fields = form.grade()
result = {
"form": form,
"accepted": True,
"points": points,
"error_groups": error_groups,
"error_fields": error_fields
}
return render_template(request, course, exercise, None,
'access/graded_form.html', result)
def createForm(request, course, exercise, post_url):
'''
Creates form by configuration and grades answers.
'''
if "max_points" not in exercise:
raise ConfigError(
"Missing required \"max_points\" in exercise configuration")
try:
acceptNonce(request)
except PermissionDenied:
return render_template(request, course, exercise, post_url,
'access/exercise_frame.html', {
"error": True,
"nonce_used": True
})
last = False
if request.method == 'POST':
try:
n = int(request.GET.get('ordinal_number', '0'))
max_n = int(request.GET.get('max_submissions', '0'))
except ValueError:
pass
last = max_n > 0 and n >= max_n
form = GradedForm(request.POST or None,
request.FILES or None,
exercise=exercise,
show_correct_once=last)
# Support caching of non personalized forms.
if not form.randomized and not_modified_since(request, exercise):
return not_modified_response(request, exercise)
result = {"form": form, "rejected": True}
# Grade valid form posts.
if form.is_valid():
(points, error_groups, error_fields) = form.grade()
points = pointsInRange(points, exercise["max_points"])
# Allow passing to asynchronous grading.
if "actions" in exercise or "container" in exercise:
from .stdasync import _saveForm
return _saveForm(request, course, exercise, post_url, form)
# If points are not granted by form fields.
if points == 0 and not error_fields:
points = exercise["max_points"]
result = {
"form": form,
"accepted": True,
"points": points,
"error_groups": error_groups,
"error_fields": error_fields
}
return cache_headers(
render_configured_template(request, course, exercise, post_url,
'access/create_form_default.html', result),
request,
exercise,
form.randomized,
)
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 createForm(request, course, exercise, post_url):
'''
Creates form by configuration and grades answers.
'''
if "max_points" not in exercise:
raise ConfigError("Missing required \"max_points\" in exercise configuration")
last = False
if request.method == 'POST':
try:
n = int(request.GET.get('ordinal_number', '0'))
max_n = int(request.GET.get('max_submissions', '0'))
except ValueError:
pass
last = max_n > 0 and n >= max_n
try:
form = GradedForm(request.POST or None, request.FILES or None,
exercise=exercise, reveal_correct=last, request=request)
except PermissionDenied:
# Randomized forms raise PermissionDenied when the POST data contains
# forged checksums or samples. It could be cleaner to check those
# in the form validation, but the old code raises an exception like this.
return render_template(request, course, exercise, post_url,
'access/exercise_frame.html', { "rejected": True, "invalid_checksum": True })
# Support caching of non personalized forms.
if not form.randomized and not_modified_since(request, exercise):
return not_modified_response(request, exercise)
result = { "form": form, "rejected": True }
# Grade valid form posts.
if form.is_valid():
(points, error_groups, error_fields) = form.grade()
points = pointsInRange(points, exercise["max_points"])
# Allow passing to asynchronous grading.
if "container" in exercise:
from .stdasync import _saveForm
return _saveForm(request, course, exercise, post_url, form)
# If points are not granted by form fields.
if points == 0 and not error_fields:
points = exercise["max_points"]
result = { "form": form, "accepted": True, "points": points,
"error_groups": error_groups, "error_fields": error_fields }
else:
# Don't reveal the correct answers if the form was rejected, and a
# submission was not consumed.
form.reveal_correct = False
return cache_headers(
render_configured_template(
request, course, exercise, post_url,
'access/create_form_default.html', result
),
request,
exercise,
form.randomized,
)
def _acceptSubmission(request, course, exercise, post_url,
sdir: SubmissionDir):
'''
Queues the submission for grading.
'''
uids = get_uid(request)
attempt = int(request.GET.get("ordinal_number", 1))
if "submission_url" in request.GET:
surl = request.GET["submission_url"]
surl_missing = False
else:
LOGGER.warning("submission_url missing from a request")
surl = f'http://{request.META["HOSTNAME"]}:{request.META["SERVER_PORT"]}{reverse("test-result")}'
surl_missing = True
# Order container for grading.
c = _requireContainer(exercise)
ro_mounts = c.get("mounts", {}).copy()
if not isinstance(ro_mounts, dict):
raise ConfigError(
"'container'->'mounts' must be a <path on course>-<mount path> dictionary or omitted altogether"
)
for k, v in ro_mounts.items():
if not os.path.isabs(v):
raise ConfigError(f"Mount path must be absolute: {v}")
if any(v == p or v.startswith(p + "/")
for p in ("/exercise", "/submission",
"/personalized_exercise")):
raise ConfigError(
"/exercise, /submission and /personalized_exercise are reserved mounts, you cannot mount to them in 'mounts'"
)
if os.path.isabs(k) or os.path.normpath(k).startswith(".."):
raise ConfigError(
f"Mounted path on course must be a relative subpath: {k}")
ro_mounts[c["mount"]] = "/exercise"
ro_mounts = {
os.path.join(settings.COURSES_PATH, course["key"], k): v
for k, v in ro_mounts.items()
}
if len(set(ro_mounts.values())) != len(ro_mounts):
raise ConfigError("Mount paths must be distinct")
if exercise.get("personalized", False):
personalized_dir = select_generated_exercise_instance(
course, exercise, uids, attempt)
ro_mounts[personalized_dir] = "/personalized_exercise"
write_submission_meta(
sdir.sid, {
"url": surl,
"dir": str(sdir.dir()),
"course_key": course["key"],
"exercise_key": exercise["key"],
"lang": translation.get_language(),
})
return_code, out, err = runner_func(
course=course,
exercise=exercise,
container_config=c,
submission_id=sdir.sid,
host_url=request.scheme + "://" + request.get_host(),
readwrite_mounts={str(sdir.dir()): "/submission"},
readonly_mounts=ro_mounts,
image=c["image"],
cmd=c["cmd"],
settings=settings.RUNNER_MODULE_SETTINGS,
)
LOGGER.debug(f"Container order exit={return_code} out={out} err={err}")
qlen = 1
return render_template(
request, course, exercise, post_url, "access/async_accepted.html", {
"error": return_code != 0,
"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))
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.
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)
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
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
})
