コード例 #1
0
    def test_add_field_facet_validates_options(self):
        """ Verify that add_field_facet validates the provided options."""
        query = DistinctCountsSearchQuery()
        with pytest.raises(RuntimeError) as err:
            query.add_field_facet('pacing_type', order='term')
        assert 'only supports a limited set of field facet options' in str(
            err.value)

        query.add_field_facet('pacing_type', size=5)
        assert query.facets['pacing_type_exact']['size'] == 5
コード例 #2
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    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
コード例 #3
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    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')
コード例 #4
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    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