def test_run_handles_pagination(self):
""" Verify that run supports paginated queries. """
course_1 = CourseFactory()
for _ in range(5):
CourseRunFactory(title='foo', course=course_1)
query = DistinctCountsSearchQuery()
query.aggregation_key = 'aggregation_key'
query.add_filter(SQ(title='foo'))
query.add_model(CourseRun)
query.run()
all_results = query._results
assert len(all_results) == 5
query._reset()
query.set_limits(low=1, high=3)
query.run()
paginated_results = query._results
assert len(paginated_results) == 2
expected = sorted([run.key for run in all_results[1:3]])
actual = sorted([run.key for run in paginated_results])
assert expected == actual
def test_clone(self):
""" Verify that clone copies all fields, including the aggregation_key and distinct_hit_count."""
query = DistinctCountsSearchQuery()
query.add_field_facet('pacing_type')
query.aggregation_key = 'aggregation_key'
query._distinct_hit_count = 123
clone = query._clone()
assert query.facets == clone.facets
assert query.aggregation_key == clone.aggregation_key
assert query._distinct_hit_count == clone._distinct_hit_count
def test_clone_with_different_class(self):
""" Verify that clone does not copy aggregation_key and distinct_hit_count when using different class."""
query = DistinctCountsSearchQuery()
query.add_field_facet('pacing_type')
query.aggregation_key = 'aggregation_key'
query._distinct_hit_count = 123
clone = query._clone(klass=ElasticsearchSearchQuery)
assert isinstance(clone, ElasticsearchSearchQuery)
assert query.facets == clone.facets
assert not hasattr(clone, 'aggregation_key')
assert not hasattr(clone, '_distinct_hit_count')
def test_run_executes_the_query_and_caches_the_results(self):
""" Verify that run executes the query and caches the results."""
course_1 = CourseFactory()
run_1 = CourseRunFactory(title='foo',
pacing_type='self_paced',
hidden=True,
course=course_1)
run_2 = CourseRunFactory(title='foo',
pacing_type='self_paced',
hidden=True,
course=course_1)
course_2 = CourseFactory()
run_3 = CourseRunFactory(title='foo',
pacing_type='instructor_paced',
hidden=False,
course=course_2)
CourseRunFactory(title='bar',
pacing_type='instructor_paced',
hidden=False,
course=course_2)
query = DistinctCountsSearchQuery()
query.aggregation_key = 'aggregation_key'
query.add_filter(SQ(title='foo'))
query.add_model(CourseRun)
query.add_field_facet('pacing_type')
query.add_query_facet('hidden', 'hidden:true')
assert query._distinct_hit_count is None
assert query._hit_count is None
assert query._results is None
assert query._facet_counts is None
query.run()
expected_results = sorted([run_1.key, run_2.key, run_3.key])
actual_results = sorted([run.key for run in query._results])
assert query._distinct_hit_count == 2
assert query._hit_count == 3
assert expected_results == actual_results
facet_counts = query._facet_counts
for field_val, count, distinct_count in facet_counts['fields'][
'pacing_type']:
assert field_val in {'self_paced', 'instructor_paced'}
if field_val == 'self_paced':
assert count == 2 and distinct_count == 1
elif field_val == 'instructor_paced':
assert count == 1 and distinct_count == 1
count, distinct_count = facet_counts['queries']['hidden']
assert count == 2 and distinct_count == 1
def test_get_distinct_count_runs_query_when_cache_empty(self):
""" Verify that get_distinct_count runs the query and caches/returns the distinct_count."""
course = CourseFactory()
CourseRunFactory(title='foo', course=course)
CourseRunFactory(title='foo', course=course)
query = DistinctCountsSearchQuery()
query.aggregation_key = 'aggregation_key'
query.add_filter(SQ(title='foo'))
query.add_model(CourseRun)
assert query._distinct_hit_count is None
assert query.get_distinct_count() == 1
assert query._distinct_hit_count == 1