def test_no_action_is_performed_for_deleted_exploration(self):
"""Test that no action is performed on deleted explorations."""
exploration = exp_domain.Exploration.create_default_exploration(
self.VALID_EXP_ID, title='title', category='category')
exploration.add_states(['State1'])
state1 = exploration.states['State1']
state1.update_interaction_id('ItemSelectionInput')
customization_args_dict = {
'choices': {'value': [{
'html': '<p>This is value1 for ItemSelection</p>',
'content_id': 'ca_choices_0'
}, {
'html': '<p>This is value2 for ItemSelection</p>',
'content_id': 'ca_choices_1'
}]},
'minAllowableSelectionCount': {'value': 0},
'maxAllowableSelectionCount': {'value': 1}
}
state_answer_group_list = [state_domain.AnswerGroup(
state_domain.Outcome(
'State1', state_domain.SubtitledHtml(
'feedback', '<p>Outcome for state2</p>'),
False, [], None, None),
[
state_domain.RuleSpec(
'Equals',
{
'x': ['<p>This is value1 for ItemSelection</p>']
}),
state_domain.RuleSpec(
'Equals',
{
'x': ['<p>This is value3 for ItemSelection</p>']
})
],
[],
None
)]
state1.update_interaction_customization_args(customization_args_dict)
state1.update_next_content_id_index(2)
state1.update_interaction_answer_groups(state_answer_group_list)
exp_services.save_new_exploration(self.albert_id, exploration)
exp_services.delete_exploration(self.albert_id, self.VALID_EXP_ID)
run_job_for_deleted_exp(
self,
(
interaction_jobs_one_off
.RuleInputToCustomizationArgsMappingOneOffJob)
)
def test_no_action_is_performed_for_deleted_exploration(self):
"""Test that no action is performed on deleted explorations."""
exploration = exp_domain.Exploration.create_default_exploration(
self.VALID_EXP_ID, title='title', category='category')
exploration.add_states(['State1'])
state1 = exploration.states['State1']
state1.update_interaction_id('DragAndDropSortInput')
customization_args_dict = {
'choices': {'value': [{
'html': '<p>This is value1 for DragAndDropSortInput</p>',
'content_id': 'ca_choices_0'
}, {
'html': '<p>This is value2 for DragAndDropSortInput</p>',
'content_id': 'ca_choices_1'
}]},
'allowMultipleItemsInSamePosition': {'value': True}
}
state_answer_groups = [state_domain.AnswerGroup(
state_domain.Outcome(
'State1', state_domain.SubtitledHtml(
'feedback', '<p>Outcome for state2</p>'),
False, [], None, None),
[
state_domain.RuleSpec(
'IsEqualToOrdering',
{
'x': []
}),
state_domain.RuleSpec(
'IsEqualToOrdering',
{
'x': []
})
],
[],
None
)]
state1.update_interaction_customization_args(customization_args_dict)
state1.update_next_content_id_index(2)
state1.update_interaction_answer_groups(state_answer_groups)
exp_services.save_new_exploration(self.albert_id, exploration)
exp_services.delete_exploration(self.albert_id, self.VALID_EXP_ID)
run_job_for_deleted_exp(
self,
interaction_jobs_one_off.DragAndDropSortInputInteractionOneOffJob)
def test_exp_state_pairs_are_produced_for_item_selection_interactions(self):
"""Checks (exp, state) pairs are produced correctly for ItemSelection
interactions.
"""
owner = user_services.get_user_actions_info(self.albert_id)
exploration = exp_domain.Exploration.create_default_exploration(
self.VALID_EXP_ID, title='title', category='category')
exploration.add_states(['State1', 'State2'])
state1 = exploration.states['State1']
state2 = exploration.states['State2']
customization_args_dict1 = {
'choices': {'value': [{
'html': '<p>This is value1 for ItemSelection</p>',
'content_id': 'ca_choices_0'
}, {
'html': '<p>This is value2 for ItemSelection</p>',
'content_id': 'ca_choices_1'
}]},
'minAllowableSelectionCount': {'value': 0},
'maxAllowableSelectionCount': {'value': 1}
}
state_answer_group_list1 = [state_domain.AnswerGroup(
state_domain.Outcome(
'Introduction', state_domain.SubtitledHtml(
'feedback', '<p>Outcome for state1</p>'),
False, [], None, None),
[
state_domain.RuleSpec(
'Equals',
{
'x': ['<p>This is value1 for ItemSelection</p>']
}),
state_domain.RuleSpec(
'Equals',
{
'x': ['<p>This is value2 for ItemSelection</p>']
})
],
[],
None
)]
solution1 = state_domain.Solution.from_dict('ItemSelectionInput', {
'answer_is_exclusive': True,
'correct_answer': ['<p>This is value2 for DragAndDropSort</p>'],
'explanation': {
'content_id': 'solution',
'html': ''
}
})
hint_list1 = [state_domain.Hint.from_dict({
'hint_content': {
'content_id': 'hint_0',
'html': ''
}
})]
state1.update_interaction_id('ItemSelectionInput')
state1.update_interaction_customization_args(customization_args_dict1)
state1.update_next_content_id_index(2)
state1.update_interaction_answer_groups(state_answer_group_list1)
exp_services.save_new_exploration(self.albert_id, exploration)
state1.update_interaction_solution(solution1)
state1.update_interaction_hints(hint_list1)
# Start RuleInputToCustomizationArgsMappingOneOffJob job on sample
# exploration.
job_id = (
interaction_jobs_one_off
.RuleInputToCustomizationArgsMappingOneOffJob.create_new())
(
interaction_jobs_one_off
.RuleInputToCustomizationArgsMappingOneOffJob.enqueue(job_id))
self.process_and_flush_pending_mapreduce_tasks()
actual_output = (
interaction_jobs_one_off
.RuleInputToCustomizationArgsMappingOneOffJob.get_output(job_id))
self.assertEqual(actual_output, [])
customization_args_dict2 = {
'choices': {'value': [{
'html': '<p>This is value1 for ItemSelection</p>',
'content_id': 'ca_choices_0'
}, {
'html': '<p>This is value2 for ItemSelection</p>',
'content_id': 'ca_choices_1'
}]},
'minAllowableSelectionCount': {'value': 0},
'maxAllowableSelectionCount': {'value': 1}
}
state_answer_group_list2 = [state_domain.AnswerGroup(
state_domain.Outcome(
'State1', state_domain.SubtitledHtml(
'feedback', '<p>Outcome for state2</p>'),
False, [], None, None),
[
state_domain.RuleSpec(
'Equals',
{
'x': ['<p>This is value1 for ItemSelection</p>']
}),
state_domain.RuleSpec(
'Equals',
{
'x': ['<p>This is value3 for ItemSelection</p>']
})
],
[],
None
)]
solution2 = state_domain.Solution.from_dict('ItemSelectionInput', {
'answer_is_exclusive': True,
'correct_answer': ['<p>This is value3 for DragAndDropSort</p>'],
'explanation': {
'content_id': 'solution',
'html': ''
}
})
hint_list2 = [state_domain.Hint.from_dict({
'hint_content': {
'content_id': 'hint_0',
'html': ''
}
})]
state2.update_interaction_id('ItemSelectionInput')
state2.update_interaction_customization_args(customization_args_dict2)
state2.update_next_content_id_index(2)
state2.update_interaction_answer_groups(state_answer_group_list2)
state2.update_interaction_solution(solution2)
state2.update_interaction_hints(hint_list2)
exp_services.save_new_exploration(self.albert_id, exploration)
rights_manager.publish_exploration(owner, self.VALID_EXP_ID)
# Start ItemSelectionInteractionOneOff job on sample exploration.
job_id = (
interaction_jobs_one_off
.RuleInputToCustomizationArgsMappingOneOffJob.create_new())
(
interaction_jobs_one_off
.RuleInputToCustomizationArgsMappingOneOffJob.enqueue(job_id))
self.process_and_flush_pending_mapreduce_tasks()
actual_output = (
interaction_jobs_one_off
.RuleInputToCustomizationArgsMappingOneOffJob.get_output(job_id))
expected_output = [(
u'[u\'exp_id0\', [u"<ItemSelectionInput Answer> State: State2, '
'Invalid Values: [\'<p>This is value3 for DragAndDropSort</p>\']"'
', u"<ItemSelectionInput Rule> State: State2, '
'Answer Group Index: 0, Invalid Values: [u\'<p>This is value3 '
'for ItemSelection</p>\']", u"<ItemSelectionInput Answer> State: '
'State1, Invalid Values: [\'<p>This is value2 for '
'DragAndDropSort</p>\']"]]'
)]
self.assertEqual(actual_output, expected_output)
def test_exp_state_pairs_are_produced_only_for_desired_interactions(self):
"""Checks (exp, state) pairs are produced only for
desired interactions.
"""
exploration = exp_domain.Exploration.create_default_exploration(
self.VALID_EXP_ID, title='title', category='category')
exploration.add_states(['State1', 'State2'])
state1 = exploration.states['State1']
state2 = exploration.states['State2']
customization_args_dict1 = {
'choices': {'value': [{
'html': '<p>This is value1 for ItemSelection</p>',
'content_id': 'ca_choices_0'
}, {
'html': '<p>This is value2 for ItemSelection</p>',
'content_id': 'ca_choices_1'
}]},
'minAllowableSelectionCount': {'value': 0},
'maxAllowableSelectionCount': {'value': 1}
}
state_answer_group_list1 = [state_domain.AnswerGroup(
state_domain.Outcome(
'Introduction', state_domain.SubtitledHtml(
'feedback', '<p>Outcome for state1</p>'),
False, [], None, None),
[
state_domain.RuleSpec(
'Equals',
{
'x': ['<p>This is value1 for ItemSelection</p>']
}),
state_domain.RuleSpec(
'Equals',
{
'x': ['<p>This is value2 for ItemSelection</p>']
})
],
[],
None
)]
state1.update_interaction_id('ItemSelectionInput')
state1.update_interaction_customization_args(customization_args_dict1)
state1.update_next_content_id_index(2)
state1.update_interaction_answer_groups(state_answer_group_list1)
exp_services.save_new_exploration(self.albert_id, exploration)
# Start ItemSelectionInteractionOneOff job on sample exploration.
job_id = (
interaction_jobs_one_off
.ItemSelectionInteractionOneOffJob.create_new())
interaction_jobs_one_off.ItemSelectionInteractionOneOffJob.enqueue(
job_id)
self.process_and_flush_pending_mapreduce_tasks()
actual_output = (
interaction_jobs_one_off
.ItemSelectionInteractionOneOffJob.get_output(job_id))
self.assertEqual(actual_output, [])
customization_args_dict2 = {
'choices': {'value': [{
'html': '<p>This is value1 for ItemSelection</p>',
'content_id': 'ca_choices_0'
}, {
'html': '<p>This is value2 for ItemSelection</p>',
'content_id': 'ca_choices_1'
}]},
'minAllowableSelectionCount': {'value': 0},
'maxAllowableSelectionCount': {'value': 1}
}
state_answer_group_list2 = [state_domain.AnswerGroup(
state_domain.Outcome(
'State1', state_domain.SubtitledHtml(
'feedback', '<p>Outcome for state2</p>'),
False, [], None, None),
[
state_domain.RuleSpec(
'Equals',
{
'x': ['<p>This is value1 for ItemSelection</p>']
}),
state_domain.RuleSpec(
'Equals',
{
'x': ['<p>This is value3 for ItemSelection</p>']
})
],
[],
None
)]
state2.update_interaction_id('ItemSelectionInput')
state2.update_interaction_customization_args(customization_args_dict2)
state2.update_next_content_id_index(2)
state2.update_interaction_answer_groups(state_answer_group_list2)
exp_services.save_new_exploration(self.albert_id, exploration)
# Start ItemSelectionInteractionOneOff job on sample exploration.
job_id = (
interaction_jobs_one_off
.ItemSelectionInteractionOneOffJob.create_new())
interaction_jobs_one_off.ItemSelectionInteractionOneOffJob.enqueue(
job_id)
self.process_and_flush_pending_mapreduce_tasks()
actual_output = (
interaction_jobs_one_off
.ItemSelectionInteractionOneOffJob.get_output(job_id))
expected_output = [(
u'[u\'exp_id0\', '
u'[u\'State2: <p>This is value3 for ItemSelection</p>\']]'
)]
self.assertEqual(actual_output, expected_output)
def test_exp_state_pairs_are_produced_only_for_desired_interactions(self):
"""Checks output pairs are produced only for
desired interactions.
"""
exploration = exp_domain.Exploration.create_default_exploration(
self.VALID_EXP_ID, title='title', category='category')
exploration.add_states(['State1', 'State2'])
state1 = exploration.states['State1']
state2 = exploration.states['State2']
customization_args_dict1 = {
'choices': {'value': [{
'html': '<p>This is value1 for MultipleChoiceInput</p>',
'content_id': 'ca_choices_0'
}, {
'html': '<p>This is value2 for MultipleChoiceInput</p>',
'content_id': 'ca_choices_1'
}]},
'showChoicesInShuffledOrder': {'value': True}
}
state_answer_group_list1 = [state_domain.AnswerGroup(
state_domain.Outcome(
'Introduction', state_domain.SubtitledHtml(
'feedback', '<p>Outcome for state1</p>'),
False, [], None, None),
[
state_domain.RuleSpec(
'Equals', {'x': '1'})
],
[],
None
)]
state1.update_interaction_id('MultipleChoiceInput')
state1.update_interaction_customization_args(customization_args_dict1)
state1.update_next_content_id_index(2)
state1.update_interaction_answer_groups(state_answer_group_list1)
exp_services.save_new_exploration(self.albert_id, exploration)
# Start MultipleChoiceInteractionOneOffJob job on sample exploration.
job_id = (
interaction_jobs_one_off
.MultipleChoiceInteractionOneOffJob.create_new())
interaction_jobs_one_off.MultipleChoiceInteractionOneOffJob.enqueue(
job_id)
self.process_and_flush_pending_mapreduce_tasks()
actual_output = (
interaction_jobs_one_off
.MultipleChoiceInteractionOneOffJob.get_output(job_id))
self.assertEqual(actual_output, [])
customization_args_dict2 = {
'choices': {'value': [{
'html': '<p>This is value1 for MultipleChoiceInput</p>',
'content_id': 'ca_choices_0'
}, {
'html': '<p>This is value2 for MultipleChoiceInput</p>',
'content_id': 'ca_choices_1'
}, {
'html': '<p>This is value3 for MultipleChoiceInput</p>',
'content_id': 'ca_choices_2'
}, {
'html': '<p>This is value4 for MultipleChoiceInput</p>',
'content_id': 'ca_choices_3'
}]},
'showChoicesInShuffledOrder': {'value': True}
}
state_answer_group_list2 = [state_domain.AnswerGroup(
state_domain.Outcome(
'State1', state_domain.SubtitledHtml(
'feedback', '<p>Outcome for state2</p>'),
False, [], None, None),
[
state_domain.RuleSpec('Equals', {'x': '0'}),
state_domain.RuleSpec(
'Equals', {'x': '9007199254740991'})
],
[],
None
)]
state2.update_interaction_id('MultipleChoiceInput')
state2.update_interaction_customization_args(customization_args_dict2)
state2.update_next_content_id_index(4)
state2.update_interaction_answer_groups(state_answer_group_list2)
exp_services.save_new_exploration(self.albert_id, exploration)
# Start MultipleChoiceInteractionOneOffJob job on sample exploration.
job_id = (
interaction_jobs_one_off
.MultipleChoiceInteractionOneOffJob.create_new())
interaction_jobs_one_off.MultipleChoiceInteractionOneOffJob.enqueue(
job_id)
self.process_and_flush_pending_mapreduce_tasks()
actual_output = (
interaction_jobs_one_off
.MultipleChoiceInteractionOneOffJob.get_output(job_id))
expected_output = [(
u'[u\'exp_id0\', '
u'[u\'State name: State2, AnswerGroup: 0, Rule: 1 is invalid.' +
'(Indices here are 0-indexed.)\']]'
)]
self.assertEqual(actual_output, expected_output)
def test_exp_state_pairs_are_produced_only_for_desired_interactions(self):
"""Checks output pairs are produced only for
desired interactions.
"""
owner = user_services.get_user_actions_info(self.albert_id)
exploration = exp_domain.Exploration.create_default_exploration(
self.VALID_EXP_ID, title='title', category='category')
exploration.add_states(['State1', 'State2'])
state1 = exploration.states['State1']
state2 = exploration.states['State2']
customization_args_dict1 = {
'choices': {'value': [{
'html': '<p>This is value1 for DragAndDropSortInput</p>',
'content_id': 'ca_choices_0'
}, {
'html': '<p>This is value2 for DragAndDropSortInput</p>',
'content_id': 'ca_choices_1'
}]},
'allowMultipleItemsInSamePosition': {'value': True}
}
state_answer_group_list1 = [state_domain.AnswerGroup(
state_domain.Outcome(
'Introduction', state_domain.SubtitledHtml(
'feedback1', '<p>Outcome for state1</p>'),
False, [], None, None),
[
state_domain.RuleSpec(
'IsEqualToOrdering',
{
'x': [['a'], ['b']]
})
],
[],
None
)]
customization_args_dict2 = {
'choices': {'value': [{
'html': '<p>This is value1 for DragAndDropSortInput</p>',
'content_id': 'ca_choices_0'
}, {
'html': '<p>This is value2 for DragAndDropSortInput</p>',
'content_id': 'ca_choices_1'
}]},
'allowMultipleItemsInSamePosition': {'value': True}
}
state_answer_group_list2 = [
state_domain.AnswerGroup(
state_domain.Outcome(
'State1', state_domain.SubtitledHtml(
'feedback', '<p>Outcome for state2</p>'),
False, [], None, None),
[
state_domain.RuleSpec(
'IsEqualToOrderingWithOneItemAtIncorrectPosition',
{
'x': []
}),
state_domain.RuleSpec(
'IsEqualToOrdering',
{
'x': [['a']]
}),
state_domain.RuleSpec(
'HasElementXBeforeElementY',
{
'x': '',
'y': ''
}),
state_domain.RuleSpec(
'IsEqualToOrdering',
{
'x': []
})
],
[],
None
),
state_domain.AnswerGroup(
state_domain.Outcome(
'Introduction', state_domain.SubtitledHtml(
'feedback2', '<p>Outcome for state1</p>'),
False, [], None, None),
[
state_domain.RuleSpec(
'HasElementXAtPositionY',
{
'x': '',
'y': 1
}),
state_domain.RuleSpec(
'HasElementXAtPositionY',
{
'x': 'a',
'y': 2
})
],
[],
None
)
]
state1.update_interaction_id('DragAndDropSortInput')
state1.update_interaction_customization_args(customization_args_dict1)
state1.update_next_content_id_index(2)
state1.update_interaction_answer_groups(state_answer_group_list1)
exp_services.save_new_exploration(self.albert_id, exploration)
rights_manager.publish_exploration(owner, self.VALID_EXP_ID)
# Start DragAndDropSortInputInteractionOneOffJob on sample exploration.
job_id = (
interaction_jobs_one_off.DragAndDropSortInputInteractionOneOffJob
.create_new())
(
interaction_jobs_one_off
.DragAndDropSortInputInteractionOneOffJob.enqueue(job_id))
self.process_and_flush_pending_mapreduce_tasks()
actual_output = (
interaction_jobs_one_off.DragAndDropSortInputInteractionOneOffJob
.get_output(job_id))
self.assertEqual(actual_output, [])
state2.update_interaction_id('DragAndDropSortInput')
state2.update_interaction_customization_args(customization_args_dict2)
state2.update_next_content_id_index(2)
state2.update_interaction_answer_groups(state_answer_group_list2)
exp_services.save_new_exploration(self.albert_id, exploration)
rights_manager.publish_exploration(owner, self.VALID_EXP_ID)
# Start DragAndDropSortInputInteractionOneOffJob on sample exploration.
job_id = (
interaction_jobs_one_off.DragAndDropSortInputInteractionOneOffJob
.create_new())
(
interaction_jobs_one_off
.DragAndDropSortInputInteractionOneOffJob.enqueue(job_id))
self.process_and_flush_pending_mapreduce_tasks()
actual_output = (
interaction_jobs_one_off.DragAndDropSortInputInteractionOneOffJob
.get_output(job_id))
expected_output = [(
u'[u\'exp_id0\', [u"[u\'State name: State2, AnswerGroup: 0, Rule '
'input x in rule with index 0 is empty. \', u\'State name: State2,'
' AnswerGroup: 0, Rule input y in rule with index 2 is empty. \', '
'u\'State name: State2, AnswerGroup: 0, Rule input x in rule with '
'index 2 is empty. \', u\'State name: State2, AnswerGroup: 0, Rule'
' input x in rule with index 3 is empty. \', u\'State name: State2'
', AnswerGroup: 1, Rule input x in rule with index 0 is empty. \']'
'"]]'
)]
self.assertEqual(actual_output, expected_output)
rights_manager.unpublish_exploration(self.admin, self.VALID_EXP_ID)
# Start DragAndDropSortInputInteractionOneOffJob on private
# exploration.
job_id = (
interaction_jobs_one_off.DragAndDropSortInputInteractionOneOffJob
.create_new())
(
interaction_jobs_one_off
.DragAndDropSortInputInteractionOneOffJob.enqueue(job_id))
self.process_and_flush_pending_mapreduce_tasks()
actual_output = (
interaction_jobs_one_off.DragAndDropSortInputInteractionOneOffJob
.get_output(job_id))
self.assertEqual(actual_output, [])