def test_serialize_deserialize(self):
s = Score()
s.max = 100.0
s.min = 0.0
s.raw = 80.0
s.scaled = 0.8
self.assertSerializeDeserialize(s)
def answer_evaluation(cls, answer, score, **kwargs):
from compair.models import ScoringAlgorithm
result = cls.basic(**kwargs)
result.extensions = Extensions(
) if not result.extensions else result.extensions
result.score = Score(raw=score.score)
score_details = {
'algorithm': score.scoring_algorithm.value,
'wins': score.wins,
'loses': score.loses,
'rounds': score.rounds,
'opponents': score.opponents,
}
if score.scoring_algorithm == ScoringAlgorithm.comparative_judgement:
result.score.min = 0.0
result.score.max = 1.0
score_details['expected score'] = score.variable1
elif score.scoring_algorithm == ScoringAlgorithm.true_skill:
score_details['mu'] = score.variable1
score_details['sigma'] = score.variable2
result.extensions[XAPIExtension.result_extensions.get(
'score details')] = score_details
return result
def setUp(self):
self.endpoint = lrs_properties.endpoint
self.version = lrs_properties.version
self.username = lrs_properties.username
self.password = lrs_properties.password
self.lrs = RemoteLRS(
version=self.version,
endpoint=self.endpoint,
username=self.username,
password=self.password,
)
self.agent = Agent(mbox="mailto:[email protected]")
self.agent2 = Agent(mbox="mailto:[email protected]")
self.verb = Verb(id="http://adlnet.gov/expapi/verbs/experienced",
display=LanguageMap({"en-US": "experienced"}))
self.group = Group(member=[self.agent, self.agent2])
self.activity = Activity(
id="http://tincanapi.com/TinCanPython/Test/Unit/0",
definition=ActivityDefinition())
self.activity.definition.type = "http://id.tincanapi.com/activitytype/unit-test"
self.activity.definition.name = LanguageMap({"en-US": "Python Tests"})
self.activity.definition.description = LanguageMap(
{"en-US": "Unit test in the test suite for the Python library"})
self.activity.object_type = 'Activity'
self.parent = Activity(id="http://tincanapi.com/TinCanPython/Test",
definition=ActivityDefinition())
self.parent.definition.type = "http://id.tincanapi.com/activitytype/unit-test-suite"
self.parent.definition.name = LanguageMap({"en-US": "Python Tests"})
self.parent.definition.description = LanguageMap(
{"en-US": "Unit test in the test suite for the Python library"})
self.parent.object_type = 'Activity'
self.statement_ref = StatementRef(id=uuid.uuid4())
self.context = Context(registration=uuid.uuid4(),
statement=self.statement_ref)
# self.context.context_activities = ContextActivities(parent=[self.parent])
self.score = Score(raw=97, scaled=0.97, max=100, min=0)
self.result = Result(score=self.score,
success=True,
completion=True,
duration="PT120S")
self.substatement = SubStatement(
actor=self.agent,
verb=self.verb,
object=self.activity,
)
def test_serialize_deserialize(self):
s = Score()
s.max = 100.0
s.min = 0.0
s.raw = 80.0
s.scaled = 0.8
self.assertSerializeDeserialize(s)
def get_result(self, course_grade):
"""
Get result for the statement.
Arguments:
course_grade (CourseGrade): Course grade.
"""
return Result(score=Score(
scaled=course_grade.percent,
raw=course_grade.percent * 100,
min=MIN_SCORE,
max=MAX_SCORE,
),
success=course_grade.passed,
completion=course_grade.passed)
def answer_score(cls, answer, score, **kwargs):
from compair.models import ScoringAlgorithm
result = cls.basic(**kwargs)
result.extensions = Extensions() if not result.extensions else result.extensions
result.score = Score(raw=score.score)
score_details = {
'score': score.score,
'algorithm': score.scoring_algorithm.value,
'wins': score.wins,
'loses': score.loses,
'rounds': score.rounds,
'opponents': score.opponents,
'criteria': {}
}
if score.scoring_algorithm == ScoringAlgorithm.true_skill:
score_details['mu'] = score.variable1
score_details['sigma'] = score.variable2
for criterion_score in answer.criteria_scores:
criterion_score_details = {
'score': criterion_score.score,
'wins': criterion_score.wins,
'loses': criterion_score.loses,
'rounds': criterion_score.rounds,
'opponents': criterion_score.opponents,
}
if criterion_score.scoring_algorithm == ScoringAlgorithm.true_skill:
criterion_score_details['mu'] = criterion_score.variable1
criterion_score_details['sigma'] = criterion_score.variable2
score_details['criteria'][ResourceIRI.criterion(criterion_score.criterion_uuid)] = criterion_score_details
result.extensions['http://xapi.learninganalytics.ubc.ca/extension/score-details'] = score_details
return result
def get_result(self, persistent_course_grade):
"""
Get result for the statement.
Arguments:
persistent_course_grade (PersistentCourseGrade): PersistentCourseGrade record
"""
completed = 0
success = 0
if persistent_course_grade.passed_timestamp is not None:
completed = 1
success = 1
return Result(score=Score(
scaled=persistent_course_grade.percent_grade,
raw=persistent_course_grade.percent_grade * 100,
min=MIN_SCORE,
max=MAX_SCORE,
),
success=success,
completion=completed)
def setUp(self):
self.score = Score(max=100.0, min=0.0, raw=80.0, scaled=0.8)
self.extensions = Extensions({
'http://example.com/extension':
'extension value',
})
def socialmedia_builder(statement_id,
verb,
platform,
account_name,
account_homepage,
object_type,
object_id,
message,
tags=[],
parent_object_type=None,
parent_id=None,
rating=None,
instructor_name=None,
instructor_email=None,
team_name=None,
unit=None,
account_email=None,
user_name=None,
timestamp=None,
other_contexts=[]):
agentaccount = AgentAccount(name=account_name, home_page=account_homepage)
actor = Agent(account=agentaccount)
# XAPI statements can only have one of: AgentAccount, mbox, mboxsha1 or Openid
#if (account_email is not None):
# actor.mbox = account_email
#if (user_name is not None):
# actor.name = user_name
verb_obj = Verb(id=xapi_settings.get_verb_iri(verb),
display=LanguageMap({'en-US': verb}))
#message = message.decode('utf-8').encode('ascii', 'ignore') #message.decode('utf-8').replace(u"\u2018", "'").replace(u"\u2019", "'").replace(u"\u2013", "-").replace(u"\ud83d", " ").replace(u"\ude09", " ").replace(u"\u00a0l", " ").replace(u"\ud83d", " ").replace(u"\u2026", " ").replace(u"\ude09", " ").replace(u"\u00a0"," ")
object = Activity(
id=object_id,
object_type=object_type,
definition=ActivityDefinition(
name=LanguageMap({'en-US': message}),
type=xapi_settings.get_object_iri(object_type)),
)
taglist = []
for tag in tags:
tagobject = Activity(
id='http://id.tincanapi.com/activity/tags/tincan',
object_type='Activity',
definition=ActivityDefinition(
name=LanguageMap({'en-US': tag}),
type=xapi_settings.get_object_iri('Tag')),
)
taglist.append(tagobject)
# Add "other" in contextActivities
other_contexts_list = []
for other in other_contexts:
other_context_obj = Activity(
id=other['obj_id'],
object_type=other['obj_type'],
definition=ActivityDefinition(name=LanguageMap(
{'en-US': other['definition']['name']}),
type=other['definition']['type']),
)
other_contexts_list.append(other_context_obj)
taglist.extend(other_contexts_list)
parentlist = []
if (verb in ['liked', 'shared', 'commented',
'rated']): #recipe specific config
parentobject = Activity(
id=parent_id,
object_type=parent_object_type,
)
parentlist.append(parentobject)
elif (platform == 'GitHub' or platform.lower() == 'trello'):
parentobject = Activity(
id=parent_id,
object_type=parent_object_type,
)
parentlist.append(parentobject)
courselist = []
if unit is not None:
courseobject = Activity(
id="http://adlnet.gov/expapi/activities/course",
object_type='Course',
definition=ActivityDefinition(
name=LanguageMap({'en-US': unit.code}),
description=LanguageMap({
'en-US':
"A course/unit of learning hosted on the CLAToolkit"
})))
courselist.append(courseobject)
instructor = None
if (instructor_name is not None):
instructor = Agent(name=instructor_name, mbox=instructor_email)
team = None
if (team_name is not None):
team = Group(Agent(name=team_name), object_type='Group')
result = None
if (rating is not None):
rating_as_float = float(rating)
result = Result(score=Score(raw=rating_as_float))
context = Context(registration=uuid.uuid4(),
platform=platform,
instructor=instructor,
team=team,
context_activities=ContextActivities(
other=ActivityList(taglist),
parent=ActivityList(parentlist),
grouping=ActivityList(courselist)))
# Xapi spec requires that the learning provider SHOULD provide the authority
# Authority is a group with Agent as oauth consumer app where name is token url and homepage is consumer_key
account = AgentAccount(name=unit.get_lrs_key(),
home_page=unit.get_lrs_access_token_url())
authority = Group(Agent(account=account))
statement = statement_builder(statement_id, actor, verb_obj, object,
context, result, authority, timestamp)
return statement
def post(self, request, *args, **kwargs):
form = self.form_class(request.POST, request.FILES)
if form.is_valid():
data = form.cleaned_data
project = get_object_or_404(Project, id=data['project'])
user = data['user']
timezone = pytz.timezone("Europe/Rome")
actor = Agent(
name=user.get_display_name(),
mbox='mailto:%s' % user.email,
)
project_id = get_object_id(request, project)
activity_type = xapi_activities['assessment']['type']
object_language = 'it'
verb = Verb(
id=xapi_verbs['completed']['id'],
display=LanguageMap(**xapi_verbs['completed']['display']),
)
file = request.FILES['file']
filename = file.name
extension = filename.split(".")[-1]
content = file.read()
records = pyexcel.get_records(file_type=extension,
file_content=content)
name_dict = records[0]
keys = name_dict.keys()
rows = []
for record in records:
date_time = record['Ora']
lesson = record['Lezione']
course = record['Corso']
activity = record['Attività']
duration_seconds = record['Durata (Secondi)']
response_seconds = record['Tempo medio di risposta (Secondi)']
score_percent = record['Punteggio (%)']
questions = record['Domande con risposta']
correct_answers = record['Risposte corrette']
timestamp = datetime.strptime(date_time, "%d/%m/%Y %H.%M")
timestamp = timezone.localize(timestamp)
object_name = 'EarMaster: {}'.format(activity)
object_description = 'Esercizio di {} in lezione EarMaster "{}"'.format(
activity, lesson)
activity_definition = ActivityDefinition(
name=LanguageMap(**{object_language: object_name}),
description=object_description
and LanguageMap(**{object_language: object_description})
or None,
type=activity_type,
)
course_id = '{}{}'.format(project_id, slugify(course))
lesson_id = '{}/{}'.format(course_id, slugify(lesson))
object = Activity(
objectType='Activity',
id=lesson_id,
definition=activity_definition,
)
parent = {
'objectType': 'Activity',
'id': course_id,
'definition': {
'type': xapi_activities['course']['type'],
'name': {
'it': course
}
}
}
grouping = {
'objectType': 'Activity',
'id': project_id,
'definition': {
'type':
xapi_activities['project']['type'],
'name':
LanguageMap(**{get_language(project): project.name})
}
}
context = {
'platform': 'EarMaster',
'context_activities': {
'parent': parent,
'grouping': grouping
}
}
context = Context(**context)
score_scaled = float(score_percent.replace('%', '')) / 100
score_max = questions
score_raw = correct_answers
score = {
'min': 0,
'max': score_max,
'raw': score_raw,
'scaled': score_scaled
}
score = Score(**score)
result = {'duration': duration_seconds, 'score': score}
result = Result(**result)
statement = Statement(actor=actor,
verb=verb,
object=object,
context=context,
result=result,
timestamp=timestamp)
result = send_statement(statement)
return HttpResponseRedirect('/project/%s/' % project.slug)
return render(request, self.template_name,
{'earmaster_import_results_form': form})
def test_bad_property_init(self):
with self.assertRaises(AttributeError):
Score(bad_name=2)
with self.assertRaises(AttributeError):
Score({'bad_name': 2})
def test_serialize_deserialize_init(self):
s = Score(max=100.0, min=0.0, raw=80.0, scaled=0.8)
self.assertSerializeDeserialize(s)
def socialmedia_builder(verb, platform, account_name, account_homepage, object_type, object_id, message, tags=[], parent_object_type=None, parent_id=None, rating=None, instructor_name=None, instructor_email=None, team_name=None, course_code=None, account_email=None, user_name=None, timestamp=None):
verbmapper = {'created': 'http://activitystrea.ms/schema/1.0/create', 'shared': 'http://activitystrea.ms/schema/1.0/share', 'liked': 'http://activitystrea.ms/schema/1.0/like', 'rated': 'http://id.tincanapi.com/verb/rated', 'commented': 'http://adlnet.gov/expapi/verbs/commented'}
objectmapper = {'Note': 'http://activitystrea.ms/schema/1.0/note', 'Tag': 'http://id.tincanapi.com/activitytype/tag', 'Article': 'http://activitystrea.ms/schema/1.0/article', 'Video': 'http://activitystrea.ms/schema/1.0/video'}
agentaccount = AgentAccount(name=account_name, home_page=account_homepage)
actor = Agent(account=agentaccount)
if (account_email is not None):
actor.mbox = account_email
if (user_name is not None):
actor.name = user_name
verb_obj = Verb(id=verbmapper[verb],display=LanguageMap({'en-US': verb}))
#message = message.decode('utf-8').encode('ascii', 'ignore') #message.decode('utf-8').replace(u"\u2018", "'").replace(u"\u2019", "'").replace(u"\u2013", "-").replace(u"\ud83d", " ").replace(u"\ude09", " ").replace(u"\u00a0l", " ").replace(u"\ud83d", " ").replace(u"\u2026", " ").replace(u"\ude09", " ").replace(u"\u00a0"," ")
object = Activity(
id=object_id,
object_type=object_type,
definition=ActivityDefinition(
name=LanguageMap({'en-US': message}),
type=objectmapper[object_type]
),
)
taglist = []
for tag in tags:
tagobject = Activity(
id='http://id.tincanapi.com/activity/tags/tincan',
object_type='Activity',
definition=ActivityDefinition(
name=LanguageMap({'en-US': tag}),
type=objectmapper['Tag']
),
)
taglist.append(tagobject)
parentlist = []
if (verb in ['liked','shared','commented','rated']):
parentobject = Activity(
id=parent_id,
object_type=parent_object_type,
)
parentlist.append(parentobject)
courselist = []
if (course_code is not None):
courseobject = Activity(
id=course_code,
object_type='Course',
definition=ActivityDefinition(type="http://adlnet.gov/expapi/activities/course")
)
courselist.append(courseobject)
instructor = None
if (instructor_name is not None):
instructor=Agent(name=instructor_name,mbox=instructor_email)
team = None
if (team_name is not None):
team = Group(Agent(name=team_name), object_type='Group')
result = None
if (rating is not None):
rating_as_float = float(rating)
result = Result(score=Score(raw=rating_as_float))
context = Context(
registration=uuid.uuid4(),
platform=platform,
instructor=instructor,
team=team,
context_activities=ContextActivities(other=ActivityList(taglist),parent=ActivityList(parentlist),grouping=ActivityList(courselist))
)
statement = statement_builder(actor, verb_obj, object, context, result, timestamp)
return statement
def sendStatement(self, reqData):
#load requested data for statement generation
data = json.loads(reqData)
# create RemoteLRS endpoint
lrs = self.LRS
# generate statement
# 1. actor
actor = Agent(
name=data["name"],
mbox='mailto:' + data["name"] + '@id.lrs',
)
# 2. verb
verb = Verb(
id=self.verbs.get(data["verb"]),
display=LanguageMap({'en-US': data["verb"]}),
)
# 3. object
obj = Activity(
id=self.objects.get(data["activity"]),
definition=ActivityDefinition(
name=LanguageMap({'en-US': data["activityid"]})
)
)
# 4. context
context = Context(
extensions=Extensions({
self.extensions.get("difficulty"): data["difficulty"],
self.extensions.get("interaction"): data["interaction"],
self.extensions.get("topic"): data["topic"]
})
)
# 5. result
result = Result(
score=Score(
raw=data["score"]
),
success=data["success"]
)
# build statement
statement = Statement(
actor=actor,
verb=verb,
object=obj,
context=context,
result=result
)
# save statement
response = lrs.save_statement(statement)
# check response
if not response:
raise ValueError("statement failed to save")
return str(True)