def test_can_see_learnt_topics(self):
self.login(self.VIEWER_EMAIL)
response = self.get_json(feconf.LEARNER_DASHBOARD_DATA_URL)
self.assertEqual(len(response['learnt_topics_list']), 0)
self.save_new_topic(self.TOPIC_ID_1,
self.owner_id,
name=self.TOPIC_NAME_1,
url_fragment='topic-one',
description='A new topic',
canonical_story_ids=[],
additional_story_ids=[],
uncategorized_skill_ids=[],
subtopics=[self.subtopic_0],
next_subtopic_id=1)
self.save_new_story(self.STORY_ID_1, self.owner_id, self.TOPIC_ID_1)
topic_services.add_canonical_story(self.owner_id, self.TOPIC_ID_1,
self.STORY_ID_1)
topic_services.publish_story(self.TOPIC_ID_1, self.STORY_ID_1,
self.admin_id)
topic_services.publish_topic(self.TOPIC_ID_1, self.admin_id)
learner_progress_services.mark_story_as_completed(
self.viewer_id, self.STORY_ID_1)
learner_progress_services.mark_topic_as_learnt(self.viewer_id,
self.TOPIC_ID_1)
response = self.get_json(feconf.LEARNER_DASHBOARD_DATA_URL)
self.assertEqual(len(response['learnt_topics_list']), 1)
self.assertEqual(response['learnt_topics_list'][0]['id'],
self.TOPIC_ID_1)
self.logout()
def test_completed_topic_is_not_added_to_learner_goals(self):
learner_progress_services.validate_and_add_topic_to_learn_goal(
self.viewer_id, self.TOPIC_ID_1)
self.assertEqual(self._get_all_topic_ids_to_learn(self.viewer_id),
[self.TOPIC_ID_1])
learner_progress_services.mark_topic_as_learnt(self.viewer_id,
self.TOPIC_ID_2)
# Test that the topic added to the in the learnt list doesn't get
# added to the learner goals.
self.assertEqual(self._get_all_topic_ids_to_learn(self.viewer_id),
[self.TOPIC_ID_1])
def test_get_learner_dashboard_ids(self):
self.login(self.VIEWER_EMAIL)
self.save_new_default_exploration(self.EXP_ID_1,
self.owner_id,
title=self.EXP_TITLE_1)
self.publish_exploration(self.owner_id, self.EXP_ID_1)
self.save_new_default_exploration(self.EXP_ID_2,
self.owner_id,
title=self.EXP_TITLE_2)
self.publish_exploration(self.owner_id, self.EXP_ID_2)
self.save_new_default_exploration(self.EXP_ID_3,
self.owner_id,
title=self.EXP_TITLE_3)
self.publish_exploration(self.owner_id, self.EXP_ID_3)
self.save_new_default_collection(self.COL_ID_1,
self.owner_id,
title=self.COL_TITLE_1)
self.publish_collection(self.owner_id, self.COL_ID_1)
self.save_new_default_collection(self.COL_ID_2,
self.owner_id,
title=self.COL_TITLE_2)
self.publish_collection(self.owner_id, self.COL_ID_2)
self.save_new_default_collection(self.COL_ID_3,
self.owner_id,
title=self.COL_TITLE_3)
self.publish_collection(self.owner_id, self.COL_ID_3)
self.save_new_topic(self.TOPIC_ID_1,
self.owner_id,
name=self.TOPIC_NAME_1,
url_fragment='topic-one',
description='A new topic',
canonical_story_ids=[],
additional_story_ids=[],
uncategorized_skill_ids=[],
subtopics=[self.subtopic_0],
next_subtopic_id=1)
self.save_new_story(self.STORY_ID_1, self.owner_id, self.TOPIC_ID_1)
topic_services.add_canonical_story(self.owner_id, self.TOPIC_ID_1,
self.STORY_ID_1)
topic_services.publish_story(self.TOPIC_ID_1, self.STORY_ID_1,
self.admin_id)
topic_services.publish_topic(self.TOPIC_ID_1, self.admin_id)
self.save_new_topic(self.TOPIC_ID_2,
self.owner_id,
name=self.TOPIC_NAME_2,
url_fragment='topic-two',
description='A new topic',
canonical_story_ids=[],
additional_story_ids=[],
uncategorized_skill_ids=[],
subtopics=[self.subtopic_1],
next_subtopic_id=1)
self.save_new_story(self.STORY_ID_2, self.owner_id, self.TOPIC_ID_2)
topic_services.add_canonical_story(self.owner_id, self.TOPIC_ID_2,
self.STORY_ID_2)
topic_services.publish_story(self.TOPIC_ID_2, self.STORY_ID_2,
self.admin_id)
topic_services.publish_topic(self.TOPIC_ID_2, self.admin_id)
self.save_new_topic(self.TOPIC_ID_3,
self.owner_id,
name=self.TOPIC_NAME_3,
url_fragment='topic-three',
description='A new topic',
canonical_story_ids=[],
additional_story_ids=[],
uncategorized_skill_ids=[],
subtopics=[self.subtopic_1],
next_subtopic_id=1)
self.save_new_story(self.STORY_ID_3, self.owner_id, self.TOPIC_ID_3)
topic_services.add_canonical_story(self.owner_id, self.TOPIC_ID_3,
self.STORY_ID_3)
topic_services.publish_story(self.TOPIC_ID_3, self.STORY_ID_3,
self.admin_id)
topic_services.publish_topic(self.TOPIC_ID_3, self.admin_id)
state_name = 'state_name'
version = 1
learner_progress_services.mark_exploration_as_completed(
self.viewer_id, self.EXP_ID_1)
learner_progress_services.mark_exploration_as_incomplete(
self.viewer_id, self.EXP_ID_2, state_name, version)
learner_progress_services.add_exp_to_learner_playlist(
self.viewer_id, self.EXP_ID_3)
learner_progress_services.mark_collection_as_completed(
self.viewer_id, self.COL_ID_1)
learner_progress_services.mark_collection_as_incomplete(
self.viewer_id, self.COL_ID_2)
learner_progress_services.add_collection_to_learner_playlist(
self.viewer_id, self.COL_ID_3)
learner_progress_services.mark_story_as_completed(
self.viewer_id, self.STORY_ID_1)
learner_progress_services.mark_topic_as_learnt(self.viewer_id,
self.TOPIC_ID_1)
learner_progress_services.record_topic_started(self.viewer_id,
self.TOPIC_ID_2)
learner_progress_services.validate_and_add_topic_to_learn_goal(
self.viewer_id, self.TOPIC_ID_3)
response = self.get_json(feconf.LEARNER_DASHBOARD_IDS_DATA_URL)
learner_dashboard_activity_ids = (
response['learner_dashboard_activity_ids'])
self.assertEqual(
learner_dashboard_activity_ids['completed_exploration_ids'],
[self.EXP_ID_1])
self.assertEqual(
learner_dashboard_activity_ids['incomplete_exploration_ids'],
[self.EXP_ID_2])
self.assertEqual(
learner_dashboard_activity_ids['exploration_playlist_ids'],
[self.EXP_ID_3])
self.assertEqual(
learner_dashboard_activity_ids['completed_collection_ids'],
[self.COL_ID_1])
self.assertEqual(
learner_dashboard_activity_ids['incomplete_collection_ids'],
[self.COL_ID_2])
self.assertEqual(
learner_dashboard_activity_ids['collection_playlist_ids'],
[self.COL_ID_3])
self.assertEqual(learner_dashboard_activity_ids['completed_story_ids'],
[self.STORY_ID_1])
self.assertEqual(learner_dashboard_activity_ids['learnt_topic_ids'],
[self.TOPIC_ID_1])
self.assertEqual(
learner_dashboard_activity_ids['partially_learnt_topic_ids'],
[self.TOPIC_ID_2])
self.assertEqual(learner_dashboard_activity_ids['topic_ids_to_learn'],
[self.TOPIC_ID_3])
def post(self, story_id, node_id):
story = story_fetchers.get_story_by_id(story_id)
if story is None:
logging.error('Could not find a story corresponding to '
'%s id.' % story_id)
self.render_json({})
return
topic = topic_fetchers.get_topic_by_id(story.corresponding_topic_id)
completed_nodes = story_fetchers.get_completed_nodes_in_story(
self.user_id, story_id)
completed_node_ids = [
completed_node.id for completed_node in completed_nodes
]
ordered_nodes = story.story_contents.get_ordered_nodes()
(next_exp_ids, next_node_id,
completed_node_ids) = (self._record_node_completion(
story_id, node_id, completed_node_ids, ordered_nodes))
ready_for_review_test = False
exp_summaries = (
summary_services.get_displayable_exp_summary_dicts_matching_ids(
next_exp_ids))
# If there are no questions for any of the acquired skills that the
# learner has completed, do not show review tests.
acquired_skills = skill_fetchers.get_multi_skills(
story.get_acquired_skill_ids_for_node_ids(completed_node_ids))
acquired_skill_ids = [skill.id for skill in acquired_skills]
questions_available = len(
question_services.get_questions_by_skill_ids(
1, acquired_skill_ids, False)) > 0
learner_completed_story = len(completed_node_ids) == len(ordered_nodes)
learner_at_review_point_in_story = (
len(exp_summaries) != 0
and (len(completed_node_ids)
& constants.NUM_EXPLORATIONS_PER_REVIEW_TEST == 0))
if questions_available and (learner_at_review_point_in_story
or learner_completed_story):
ready_for_review_test = True
# If there is no next_node_id, the story is marked as completed else
# mark the story as incomplete.
if next_node_id is None:
learner_progress_services.mark_story_as_completed(
self.user_id, story_id)
else:
learner_progress_services.record_story_started(
self.user_id, story.id)
completed_story_ids = (
learner_progress_services.get_all_completed_story_ids(
self.user_id))
story_ids_in_topic = []
for story in topic.canonical_story_references:
story_ids_in_topic.append(story.story_id)
is_topic_completed = set(story_ids_in_topic).intersection(
set(completed_story_ids))
# If at least one story in the topic is completed,
# mark the topic as learnt else mark it as partially learnt.
if not is_topic_completed:
learner_progress_services.record_topic_started(
self.user_id, topic.id)
else:
learner_progress_services.mark_topic_as_learnt(
self.user_id, topic.id)
return self.render_json({
'summaries': exp_summaries,
'ready_for_review_test': ready_for_review_test,
'next_node_id': next_node_id
})
def test_add_topic_to_learner_goal(self):
self.login(self.VIEWER_EMAIL)
csrf_token = self.get_new_csrf_token()
# Add one topic to the learner goal.
self.post_json('%s/%s/%s' %
(feconf.LEARNER_GOALS_DATA_URL,
constants.ACTIVITY_TYPE_LEARN_TOPIC, self.TOPIC_ID_1),
{},
csrf_token=csrf_token)
self.assertEqual(
learner_goals_services.get_all_topic_ids_to_learn(self.viewer_id),
[self.TOPIC_ID_1])
# Add another topic.
self.post_json('%s/%s/%s' %
(feconf.LEARNER_GOALS_DATA_URL,
constants.ACTIVITY_TYPE_LEARN_TOPIC, self.TOPIC_ID_2),
{},
csrf_token=csrf_token)
self.assertEqual(
learner_goals_services.get_all_topic_ids_to_learn(self.viewer_id),
[self.TOPIC_ID_1, self.TOPIC_ID_2])
# If a topic belongs to the completed list, it should not be added.
learner_progress_services.mark_topic_as_learnt(self.viewer_id,
self.TOPIC_ID_3)
response = self.post_json(
'%s/%s/%s' %
(feconf.LEARNER_GOALS_DATA_URL,
constants.ACTIVITY_TYPE_LEARN_TOPIC, self.TOPIC_ID_3), {},
csrf_token=csrf_token)
self.assertEqual(response['belongs_to_learnt_list'], True)
self.assertEqual(
learner_goals_services.get_all_topic_ids_to_learn(self.viewer_id),
[self.TOPIC_ID_1, self.TOPIC_ID_2])
# Fail to add one topic to the learner goal.
response = self.post_json(
'%s/%s/%s' % (feconf.LEARNER_GOALS_DATA_URL, 'InvalidActivityType',
self.TOPIC_ID_1), {},
csrf_token=csrf_token,
expected_status_int=400)
self.assertEqual(response['error'],
'Invalid activityType: InvalidActivityType')
# Now we begin testing of not exceeding the limit of activities in the
# learner goals.
# Add feconf.MAX_CURRENT_GOALS_COUNT - 2 activities to reach
# the maximum limit.
for topic_id in python_utils.RANGE(2,
feconf.MAX_CURRENT_GOALS_COUNT + 1):
self.post_json('%s/%s/%s' % (feconf.LEARNER_GOALS_DATA_URL,
constants.ACTIVITY_TYPE_LEARN_TOPIC,
'topic_id_%s' % topic_id), {},
csrf_token=csrf_token)
# Now if we try and add a topic we should get a message saying we
# are exceeding the limit.
response = self.post_json(
'%s/%s/%s' %
(feconf.LEARNER_GOALS_DATA_URL,
constants.ACTIVITY_TYPE_LEARN_TOPIC, 'topic_id_%s' %
python_utils.UNICODE(feconf.MAX_CURRENT_GOALS_COUNT + 3)), {},
csrf_token=csrf_token)
self.assertEqual(response['goals_limit_exceeded'], True)
self.logout()
