def save_submission(self, data, suffix=""):
"""
Save the current student's response submission.
If the student already has a response saved, this will overwrite it.
Args:
data (dict): Data should have a single key 'submission' that contains
the text of the student's response. Optionally, the data could
have a 'file_url' key that is the path to an associated file for
this submission.
suffix (str): Not used.
Returns:
dict: Contains a bool 'success' and unicode string 'msg'.
"""
if "submission" in data:
student_sub_data = data["submission"]
success, msg = validate_submission(student_sub_data, self.prompts, self._)
if not success:
return {"success": False, "msg": msg}
try:
self.saved_response = json.dumps(prepare_submission_for_serialization(student_sub_data))
self.has_saved = True
# Emit analytics event...
self.runtime.publish(
self, "openassessmentblock.save_submission", {"saved_response": self.saved_response}
)
except:
return {"success": False, "msg": self._(u"This response could not be saved.")}
else:
return {"success": True, "msg": u""}
else:
return {"success": False, "msg": self._(u"This response was not submitted.")}
def save_submission(self, data, suffix=''):
"""
Save the current student's response submission.
If the student already has a response saved, this will overwrite it.
Args:
data (dict): Data should have a single key 'submission' that contains
the text of the student's response. Optionally, the data could
have a 'file_urls' key that is the path to an associated file for
this submission.
suffix (str): Not used.
Returns:
dict: Contains a bool 'success' and unicode string 'msg'.
"""
if 'submission' in data:
student_sub_data = data['submission']
success, msg = validate_submission(student_sub_data, self.prompts,
self._, self.text_response)
if not success:
return {'success': False, 'msg': msg}
try:
self.saved_response = json.dumps(
prepare_submission_for_serialization(student_sub_data))
self.has_saved = True
# Emit analytics event...
self.runtime.publish(self,
"openassessmentblock.save_submission",
{"saved_response": self.saved_response})
except:
return {
'success': False,
'msg': self._(u"This response could not be saved.")
}
else:
return {'success': True, 'msg': u''}
else:
return {
'success': False,
'msg': self._(u"This response was not submitted.")
}
def submit(self, data, suffix=''):
"""Place the submission text into Openassessment system
Allows submission of new responses. Performs basic workflow validation
on any new submission to ensure it is acceptable to receive a new
response at this time.
Args:
data (dict): Data may contain two attributes: submission and
file_urls. submission is the response from the student which
should be stored in the Open Assessment system. file_urls is the
path to a related file for the submission. file_urls is optional.
suffix (str): Not used in this handler.
Returns:
(tuple): Returns the status (boolean) of this request, the
associated status tag (str), and status text (unicode).
"""
if 'submission' not in data:
return (False, 'EBADARGS',
self._(u'"submission" required to submit answer.'))
status = False
student_sub_data = data['submission']
success, msg = validate_submission(student_sub_data, self.prompts,
self._, self.text_response)
if not success:
return (False, 'EBADARGS', msg)
student_item_dict = self.get_student_item_dict()
# Short-circuit if no user is defined (as in Studio Preview mode)
# Since students can't submit, they will never be able to progress in the workflow
if self.in_studio_preview:
return (
False, 'ENOPREVIEW',
self.
_(u'To submit a response, view this component in Preview or Live mode.'
))
workflow = self.get_workflow_info()
status_tag = 'ENOMULTI' # It is an error to submit multiple times for the same item
status_text = self._(u'Multiple submissions are not allowed.')
if not workflow:
try:
try:
saved_files_descriptions = json.loads(
self.saved_files_descriptions)
except ValueError:
saved_files_descriptions = None
submission = self.create_submission(student_item_dict,
student_sub_data,
saved_files_descriptions)
except api.SubmissionRequestError as err:
# Handle the case of an answer that's too long as a special case,
# so we can display a more specific error message.
# Although we limit the number of characters the user can
# enter on the client side, the submissions API uses the JSON-serialized
# submission to calculate length. If each character submitted
# by the user takes more than 1 byte to encode (for example, double-escaped
# newline characters or non-ASCII unicode), then the user might
# exceed the limits set by the submissions API. In that case,
# we display an error message indicating that the answer is too long.
answer_too_long = any(
"maximum answer size exceeded" in answer_err.lower()
for answer_err in err.field_errors.get('answer', []))
if answer_too_long:
status_tag = 'EANSWERLENGTH'
else:
msg = (
u"The submissions API reported an invalid request error "
u"when submitting a response for the user: {student_item}"
).format(student_item=student_item_dict)
logger.exception(msg)
status_tag = 'EBADFORM'
except (api.SubmissionError, AssessmentWorkflowError):
msg = (u"An unknown error occurred while submitting "
u"a response for the user: {student_item}").format(
student_item=student_item_dict)
logger.exception(msg)
status_tag = 'EUNKNOWN'
status_text = self._(u'API returned unclassified exception.')
else:
status = True
status_tag = submission.get('student_item')
status_text = submission.get('attempt_number')
return status, status_tag, status_text
def submit(self, data, suffix=""):
"""Place the submission text into Openassessment system
Allows submission of new responses. Performs basic workflow validation
on any new submission to ensure it is acceptable to receive a new
response at this time.
Args:
data (dict): Data may contain two attributes: submission and
file_url. submission is the response from the student which
should be stored in the Open Assessment system. file_url is the
path to a related file for the submission. file_url is optional.
suffix (str): Not used in this handler.
Returns:
(tuple): Returns the status (boolean) of this request, the
associated status tag (str), and status text (unicode).
"""
if "submission" not in data:
return (False, "EBADARGS", self._(u'"submission" required to submit answer.'))
status = False
student_sub_data = data["submission"]
success, msg = validate_submission(student_sub_data, self.prompts, self._)
if not success:
return (False, "EBADARGS", msg)
student_item_dict = self.get_student_item_dict()
# Short-circuit if no user is defined (as in Studio Preview mode)
# Since students can't submit, they will never be able to progress in the workflow
if self.in_studio_preview:
return (False, "ENOPREVIEW", self._(u"To submit a response, view this component in Preview or Live mode."))
workflow = self.get_workflow_info()
status_tag = "ENOMULTI" # It is an error to submit multiple times for the same item
status_text = self._(u"Multiple submissions are not allowed.")
if not workflow:
try:
submission = self.create_submission(student_item_dict, student_sub_data)
except api.SubmissionRequestError as err:
# Handle the case of an answer that's too long as a special case,
# so we can display a more specific error message.
# Although we limit the number of characters the user can
# enter on the client side, the submissions API uses the JSON-serialized
# submission to calculate length. If each character submitted
# by the user takes more than 1 byte to encode (for example, double-escaped
# newline characters or non-ASCII unicode), then the user might
# exceed the limits set by the submissions API. In that case,
# we display an error message indicating that the answer is too long.
answer_too_long = any(
"maximum answer size exceeded" in answer_err.lower()
for answer_err in err.field_errors.get("answer", [])
)
if answer_too_long:
status_tag = "EANSWERLENGTH"
else:
msg = (
u"The submissions API reported an invalid request error "
u"when submitting a response for the user: {student_item}"
).format(student_item=student_item_dict)
logger.exception(msg)
status_tag = "EBADFORM"
except (api.SubmissionError, AssessmentWorkflowError):
msg = (
u"An unknown error occurred while submitting " u"a response for the user: {student_item}"
).format(student_item=student_item_dict)
logger.exception(msg)
status_tag = "EUNKNOWN"
status_text = self._(u"API returned unclassified exception.")
else:
status = True
status_tag = submission.get("student_item")
status_text = submission.get("attempt_number")
return status, status_tag, status_text
