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Diffstat (limited to 'tests/aggregation_regress/tests.py')
| -rw-r--r-- | tests/aggregation_regress/tests.py | 1022 |
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diff --git a/tests/aggregation_regress/tests.py b/tests/aggregation_regress/tests.py new file mode 100644 index 0000000000..bb1eb59b07 --- /dev/null +++ b/tests/aggregation_regress/tests.py @@ -0,0 +1,1022 @@ +from __future__ import absolute_import, unicode_literals + +import datetime +import pickle +from decimal import Decimal +from operator import attrgetter + +from django.core.exceptions import FieldError +from django.contrib.contenttypes.models import ContentType +from django.db.models import Count, Max, Avg, Sum, StdDev, Variance, F, Q +from django.test import TestCase, Approximate, skipUnlessDBFeature +from django.utils import six + +from .models import (Author, Book, Publisher, Clues, Entries, HardbackBook, + ItemTag, WithManualPK) + + +class AggregationTests(TestCase): + fixtures = ["aggregation_regress.json"] + + def assertObjectAttrs(self, obj, **kwargs): + for attr, value in six.iteritems(kwargs): + self.assertEqual(getattr(obj, attr), value) + + def test_aggregates_in_where_clause(self): + """ + Regression test for #12822: DatabaseError: aggregates not allowed in + WHERE clause + + Tests that the subselect works and returns results equivalent to a + query with the IDs listed. + + Before the corresponding fix for this bug, this test passed in 1.1 and + failed in 1.2-beta (trunk). + """ + qs = Book.objects.values('contact').annotate(Max('id')) + qs = qs.order_by('contact').values_list('id__max', flat=True) + # don't do anything with the queryset (qs) before including it as a + # subquery + books = Book.objects.order_by('id') + qs1 = books.filter(id__in=qs) + qs2 = books.filter(id__in=list(qs)) + self.assertEqual(list(qs1), list(qs2)) + + def test_aggregates_in_where_clause_pre_eval(self): + """ + Regression test for #12822: DatabaseError: aggregates not allowed in + WHERE clause + + Same as the above test, but evaluates the queryset for the subquery + before it's used as a subquery. + + Before the corresponding fix for this bug, this test failed in both + 1.1 and 1.2-beta (trunk). + """ + qs = Book.objects.values('contact').annotate(Max('id')) + qs = qs.order_by('contact').values_list('id__max', flat=True) + # force the queryset (qs) for the subquery to be evaluated in its + # current state + list(qs) + books = Book.objects.order_by('id') + qs1 = books.filter(id__in=qs) + qs2 = books.filter(id__in=list(qs)) + self.assertEqual(list(qs1), list(qs2)) + + @skipUnlessDBFeature('supports_subqueries_in_group_by') + def test_annotate_with_extra(self): + """ + Regression test for #11916: Extra params + aggregation creates + incorrect SQL. + """ + #oracle doesn't support subqueries in group by clause + shortest_book_sql = """ + SELECT name + FROM aggregation_regress_book b + WHERE b.publisher_id = aggregation_regress_publisher.id + ORDER BY b.pages + LIMIT 1 + """ + # tests that this query does not raise a DatabaseError due to the full + # subselect being (erroneously) added to the GROUP BY parameters + qs = Publisher.objects.extra(select={ + 'name_of_shortest_book': shortest_book_sql, + }).annotate(total_books=Count('book')) + # force execution of the query + list(qs) + + def test_aggregate(self): + # Ordering requests are ignored + self.assertEqual( + Author.objects.order_by("name").aggregate(Avg("age")), + {"age__avg": Approximate(37.444, places=1)} + ) + + # Implicit ordering is also ignored + self.assertEqual( + Book.objects.aggregate(Sum("pages")), + {"pages__sum": 3703}, + ) + + # Baseline results + self.assertEqual( + Book.objects.aggregate(Sum('pages'), Avg('pages')), + {'pages__sum': 3703, 'pages__avg': Approximate(617.166, places=2)} + ) + + # Empty values query doesn't affect grouping or results + self.assertEqual( + Book.objects.values().aggregate(Sum('pages'), Avg('pages')), + {'pages__sum': 3703, 'pages__avg': Approximate(617.166, places=2)} + ) + + # Aggregate overrides extra selected column + self.assertEqual( + Book.objects.extra(select={'price_per_page' : 'price / pages'}).aggregate(Sum('pages')), + {'pages__sum': 3703} + ) + + def test_annotation(self): + # Annotations get combined with extra select clauses + obj = Book.objects.annotate(mean_auth_age=Avg("authors__age")).extra(select={"manufacture_cost": "price * .5"}).get(pk=2) + self.assertObjectAttrs(obj, + contact_id=3, + id=2, + isbn='067232959', + mean_auth_age=45.0, + name='Sams Teach Yourself Django in 24 Hours', + pages=528, + price=Decimal("23.09"), + pubdate=datetime.date(2008, 3, 3), + publisher_id=2, + rating=3.0 + ) + # Different DB backends return different types for the extra select computation + self.assertTrue(obj.manufacture_cost == 11.545 or obj.manufacture_cost == Decimal('11.545')) + + # Order of the annotate/extra in the query doesn't matter + obj = Book.objects.extra(select={'manufacture_cost' : 'price * .5'}).annotate(mean_auth_age=Avg('authors__age')).get(pk=2) + self.assertObjectAttrs(obj, + contact_id=3, + id=2, + isbn='067232959', + mean_auth_age=45.0, + name='Sams Teach Yourself Django in 24 Hours', + pages=528, + price=Decimal("23.09"), + pubdate=datetime.date(2008, 3, 3), + publisher_id=2, + rating=3.0 + ) + # Different DB backends return different types for the extra select computation + self.assertTrue(obj.manufacture_cost == 11.545 or obj.manufacture_cost == Decimal('11.545')) + + # Values queries can be combined with annotate and extra + obj = Book.objects.annotate(mean_auth_age=Avg('authors__age')).extra(select={'manufacture_cost' : 'price * .5'}).values().get(pk=2) + manufacture_cost = obj['manufacture_cost'] + self.assertTrue(manufacture_cost == 11.545 or manufacture_cost == Decimal('11.545')) + del obj['manufacture_cost'] + self.assertEqual(obj, { + "contact_id": 3, + "id": 2, + "isbn": "067232959", + "mean_auth_age": 45.0, + "name": "Sams Teach Yourself Django in 24 Hours", + "pages": 528, + "price": Decimal("23.09"), + "pubdate": datetime.date(2008, 3, 3), + "publisher_id": 2, + "rating": 3.0, + }) + + # The order of the (empty) values, annotate and extra clauses doesn't + # matter + obj = Book.objects.values().annotate(mean_auth_age=Avg('authors__age')).extra(select={'manufacture_cost' : 'price * .5'}).get(pk=2) + manufacture_cost = obj['manufacture_cost'] + self.assertTrue(manufacture_cost == 11.545 or manufacture_cost == Decimal('11.545')) + del obj['manufacture_cost'] + self.assertEqual(obj, { + 'contact_id': 3, + 'id': 2, + 'isbn': '067232959', + 'mean_auth_age': 45.0, + 'name': 'Sams Teach Yourself Django in 24 Hours', + 'pages': 528, + 'price': Decimal("23.09"), + 'pubdate': datetime.date(2008, 3, 3), + 'publisher_id': 2, + 'rating': 3.0 + }) + + # If the annotation precedes the values clause, it won't be included + # unless it is explicitly named + obj = Book.objects.annotate(mean_auth_age=Avg('authors__age')).extra(select={'price_per_page' : 'price / pages'}).values('name').get(pk=1) + self.assertEqual(obj, { + "name": 'The Definitive Guide to Django: Web Development Done Right', + }) + + obj = Book.objects.annotate(mean_auth_age=Avg('authors__age')).extra(select={'price_per_page' : 'price / pages'}).values('name','mean_auth_age').get(pk=1) + self.assertEqual(obj, { + 'mean_auth_age': 34.5, + 'name': 'The Definitive Guide to Django: Web Development Done Right', + }) + + # If an annotation isn't included in the values, it can still be used + # in a filter + qs = Book.objects.annotate(n_authors=Count('authors')).values('name').filter(n_authors__gt=2) + self.assertQuerysetEqual( + qs, [ + {"name": 'Python Web Development with Django'} + ], + lambda b: b, + ) + + # The annotations are added to values output if values() precedes + # annotate() + obj = Book.objects.values('name').annotate(mean_auth_age=Avg('authors__age')).extra(select={'price_per_page' : 'price / pages'}).get(pk=1) + self.assertEqual(obj, { + 'mean_auth_age': 34.5, + 'name': 'The Definitive Guide to Django: Web Development Done Right', + }) + + # Check that all of the objects are getting counted (allow_nulls) and + # that values respects the amount of objects + self.assertEqual( + len(Author.objects.annotate(Avg('friends__age')).values()), + 9 + ) + + # Check that consecutive calls to annotate accumulate in the query + qs = Book.objects.values('price').annotate(oldest=Max('authors__age')).order_by('oldest', 'price').annotate(Max('publisher__num_awards')) + self.assertQuerysetEqual( + qs, [ + {'price': Decimal("30"), 'oldest': 35, 'publisher__num_awards__max': 3}, + {'price': Decimal("29.69"), 'oldest': 37, 'publisher__num_awards__max': 7}, + {'price': Decimal("23.09"), 'oldest': 45, 'publisher__num_awards__max': 1}, + {'price': Decimal("75"), 'oldest': 57, 'publisher__num_awards__max': 9}, + {'price': Decimal("82.8"), 'oldest': 57, 'publisher__num_awards__max': 7} + ], + lambda b: b, + ) + + def test_aggrate_annotation(self): + # Aggregates can be composed over annotations. + # The return type is derived from the composed aggregate + vals = Book.objects.all().annotate(num_authors=Count('authors__id')).aggregate(Max('pages'), Max('price'), Sum('num_authors'), Avg('num_authors')) + self.assertEqual(vals, { + 'num_authors__sum': 10, + 'num_authors__avg': Approximate(1.666, places=2), + 'pages__max': 1132, + 'price__max': Decimal("82.80") + }) + + def test_field_error(self): + # Bad field requests in aggregates are caught and reported + self.assertRaises( + FieldError, + lambda: Book.objects.all().aggregate(num_authors=Count('foo')) + ) + + self.assertRaises( + FieldError, + lambda: Book.objects.all().annotate(num_authors=Count('foo')) + ) + + self.assertRaises( + FieldError, + lambda: Book.objects.all().annotate(num_authors=Count('authors__id')).aggregate(Max('foo')) + ) + + def test_more(self): + # Old-style count aggregations can be mixed with new-style + self.assertEqual( + Book.objects.annotate(num_authors=Count('authors')).count(), + 6 + ) + + # Non-ordinal, non-computed Aggregates over annotations correctly + # inherit the annotation's internal type if the annotation is ordinal + # or computed + vals = Book.objects.annotate(num_authors=Count('authors')).aggregate(Max('num_authors')) + self.assertEqual( + vals, + {'num_authors__max': 3} + ) + + vals = Publisher.objects.annotate(avg_price=Avg('book__price')).aggregate(Max('avg_price')) + self.assertEqual( + vals, + {'avg_price__max': 75.0} + ) + + # Aliases are quoted to protected aliases that might be reserved names + vals = Book.objects.aggregate(number=Max('pages'), select=Max('pages')) + self.assertEqual( + vals, + {'number': 1132, 'select': 1132} + ) + + # Regression for #10064: select_related() plays nice with aggregates + obj = Book.objects.select_related('publisher').annotate(num_authors=Count('authors')).values()[0] + self.assertEqual(obj, { + 'contact_id': 8, + 'id': 5, + 'isbn': '013790395', + 'name': 'Artificial Intelligence: A Modern Approach', + 'num_authors': 2, + 'pages': 1132, + 'price': Decimal("82.8"), + 'pubdate': datetime.date(1995, 1, 15), + 'publisher_id': 3, + 'rating': 4.0, + }) + + # Regression for #10010: exclude on an aggregate field is correctly + # negated + self.assertEqual( + len(Book.objects.annotate(num_authors=Count('authors'))), + 6 + ) + self.assertEqual( + len(Book.objects.annotate(num_authors=Count('authors')).filter(num_authors__gt=2)), + 1 + ) + self.assertEqual( + len(Book.objects.annotate(num_authors=Count('authors')).exclude(num_authors__gt=2)), + 5 + ) + + self.assertEqual( + len(Book.objects.annotate(num_authors=Count('authors')).filter(num_authors__lt=3).exclude(num_authors__lt=2)), + 2 + ) + self.assertEqual( + len(Book.objects.annotate(num_authors=Count('authors')).exclude(num_authors__lt=2).filter(num_authors__lt=3)), + 2 + ) + + def test_aggregate_fexpr(self): + # Aggregates can be used with F() expressions + # ... where the F() is pushed into the HAVING clause + qs = Publisher.objects.annotate(num_books=Count('book')).filter(num_books__lt=F('num_awards')/2).order_by('name').values('name','num_books','num_awards') + self.assertQuerysetEqual( + qs, [ + {'num_books': 1, 'name': 'Morgan Kaufmann', 'num_awards': 9}, + {'num_books': 2, 'name': 'Prentice Hall', 'num_awards': 7} + ], + lambda p: p, + ) + + qs = Publisher.objects.annotate(num_books=Count('book')).exclude(num_books__lt=F('num_awards')/2).order_by('name').values('name','num_books','num_awards') + self.assertQuerysetEqual( + qs, [ + {'num_books': 2, 'name': 'Apress', 'num_awards': 3}, + {'num_books': 0, 'name': "Jonno's House of Books", 'num_awards': 0}, + {'num_books': 1, 'name': 'Sams', 'num_awards': 1} + ], + lambda p: p, + ) + + # ... and where the F() references an aggregate + qs = Publisher.objects.annotate(num_books=Count('book')).filter(num_awards__gt=2*F('num_books')).order_by('name').values('name','num_books','num_awards') + self.assertQuerysetEqual( + qs, [ + {'num_books': 1, 'name': 'Morgan Kaufmann', 'num_awards': 9}, + {'num_books': 2, 'name': 'Prentice Hall', 'num_awards': 7} + ], + lambda p: p, + ) + + qs = Publisher.objects.annotate(num_books=Count('book')).exclude(num_books__lt=F('num_awards')/2).order_by('name').values('name','num_books','num_awards') + self.assertQuerysetEqual( + qs, [ + {'num_books': 2, 'name': 'Apress', 'num_awards': 3}, + {'num_books': 0, 'name': "Jonno's House of Books", 'num_awards': 0}, + {'num_books': 1, 'name': 'Sams', 'num_awards': 1} + ], + lambda p: p, + ) + + def test_db_col_table(self): + # Tests on fields with non-default table and column names. + qs = Clues.objects.values('EntryID__Entry').annotate(Appearances=Count('EntryID'), Distinct_Clues=Count('Clue', distinct=True)) + self.assertQuerysetEqual(qs, []) + + qs = Entries.objects.annotate(clue_count=Count('clues__ID')) + self.assertQuerysetEqual(qs, []) + + def test_empty(self): + # Regression for #10089: Check handling of empty result sets with + # aggregates + self.assertEqual( + Book.objects.filter(id__in=[]).count(), + 0 + ) + + vals = Book.objects.filter(id__in=[]).aggregate(num_authors=Count('authors'), avg_authors=Avg('authors'), max_authors=Max('authors'), max_price=Max('price'), max_rating=Max('rating')) + self.assertEqual( + vals, + {'max_authors': None, 'max_rating': None, 'num_authors': 0, 'avg_authors': None, 'max_price': None} + ) + + qs = Publisher.objects.filter(pk=5).annotate(num_authors=Count('book__authors'), avg_authors=Avg('book__authors'), max_authors=Max('book__authors'), max_price=Max('book__price'), max_rating=Max('book__rating')).values() + self.assertQuerysetEqual( + qs, [ + {'max_authors': None, 'name': "Jonno's House of Books", 'num_awards': 0, 'max_price': None, 'num_authors': 0, 'max_rating': None, 'id': 5, 'avg_authors': None} + ], + lambda p: p + ) + + def test_more_more(self): + # Regression for #10113 - Fields mentioned in order_by() must be + # included in the GROUP BY. This only becomes a problem when the + # order_by introduces a new join. + self.assertQuerysetEqual( + Book.objects.annotate(num_authors=Count('authors')).order_by('publisher__name', 'name'), [ + "Practical Django Projects", + "The Definitive Guide to Django: Web Development Done Right", + "Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp", + "Artificial Intelligence: A Modern Approach", + "Python Web Development with Django", + "Sams Teach Yourself Django in 24 Hours", + ], + lambda b: b.name + ) + + # Regression for #10127 - Empty select_related() works with annotate + qs = Book.objects.filter(rating__lt=4.5).select_related().annotate(Avg('authors__age')) + self.assertQuerysetEqual( + qs, [ + ('Artificial Intelligence: A Modern Approach', 51.5, 'Prentice Hall', 'Peter Norvig'), + ('Practical Django Projects', 29.0, 'Apress', 'James Bennett'), + ('Python Web Development with Django', Approximate(30.333, places=2), 'Prentice Hall', 'Jeffrey Forcier'), + ('Sams Teach Yourself Django in 24 Hours', 45.0, 'Sams', 'Brad Dayley') + ], + lambda b: (b.name, b.authors__age__avg, b.publisher.name, b.contact.name) + ) + + # Regression for #10132 - If the values() clause only mentioned extra + # (select=) columns, those columns are used for grouping + qs = Book.objects.extra(select={'pub':'publisher_id'}).values('pub').annotate(Count('id')).order_by('pub') + self.assertQuerysetEqual( + qs, [ + {'pub': 1, 'id__count': 2}, + {'pub': 2, 'id__count': 1}, + {'pub': 3, 'id__count': 2}, + {'pub': 4, 'id__count': 1} + ], + lambda b: b + ) + + qs = Book.objects.extra(select={'pub':'publisher_id', 'foo':'pages'}).values('pub').annotate(Count('id')).order_by('pub') + self.assertQuerysetEqual( + qs, [ + {'pub': 1, 'id__count': 2}, + {'pub': 2, 'id__count': 1}, + {'pub': 3, 'id__count': 2}, + {'pub': 4, 'id__count': 1} + ], + lambda b: b + ) + + # Regression for #10182 - Queries with aggregate calls are correctly + # realiased when used in a subquery + ids = Book.objects.filter(pages__gt=100).annotate(n_authors=Count('authors')).filter(n_authors__gt=2).order_by('n_authors') + self.assertQuerysetEqual( + Book.objects.filter(id__in=ids), [ + "Python Web Development with Django", + ], + lambda b: b.name + ) + + # Regression for #15709 - Ensure each group_by field only exists once + # per query + qs = Book.objects.values('publisher').annotate(max_pages=Max('pages')).order_by() + grouping, gb_params = qs.query.get_compiler(qs.db).get_grouping([]) + self.assertEqual(len(grouping), 1) + + def test_duplicate_alias(self): + # Regression for #11256 - duplicating a default alias raises ValueError. + self.assertRaises(ValueError, Book.objects.all().annotate, Avg('authors__age'), authors__age__avg=Avg('authors__age')) + + def test_field_name_conflict(self): + # Regression for #11256 - providing an aggregate name that conflicts with a field name on the model raises ValueError + self.assertRaises(ValueError, Author.objects.annotate, age=Avg('friends__age')) + + def test_m2m_name_conflict(self): + # Regression for #11256 - providing an aggregate name that conflicts with an m2m name on the model raises ValueError + self.assertRaises(ValueError, Author.objects.annotate, friends=Count('friends')) + + def test_values_queryset_non_conflict(self): + # Regression for #14707 -- If you're using a values query set, some potential conflicts are avoided. + + # age is a field on Author, so it shouldn't be allowed as an aggregate. + # But age isn't included in the ValuesQuerySet, so it is. + results = Author.objects.values('name').annotate(age=Count('book_contact_set')).order_by('name') + self.assertEqual(len(results), 9) + self.assertEqual(results[0]['name'], 'Adrian Holovaty') + self.assertEqual(results[0]['age'], 1) + + # Same problem, but aggregating over m2m fields + results = Author.objects.values('name').annotate(age=Avg('friends__age')).order_by('name') + self.assertEqual(len(results), 9) + self.assertEqual(results[0]['name'], 'Adrian Holovaty') + self.assertEqual(results[0]['age'], 32.0) + + # Same problem, but colliding with an m2m field + results = Author.objects.values('name').annotate(friends=Count('friends')).order_by('name') + self.assertEqual(len(results), 9) + self.assertEqual(results[0]['name'], 'Adrian Holovaty') + self.assertEqual(results[0]['friends'], 2) + + def test_reverse_relation_name_conflict(self): + # Regression for #11256 - providing an aggregate name that conflicts with a reverse-related name on the model raises ValueError + self.assertRaises(ValueError, Author.objects.annotate, book_contact_set=Avg('friends__age')) + + def test_pickle(self): + # Regression for #10197 -- Queries with aggregates can be pickled. + # First check that pickling is possible at all. No crash = success + qs = Book.objects.annotate(num_authors=Count('authors')) + pickle.dumps(qs) + + # Then check that the round trip works. + query = qs.query.get_compiler(qs.db).as_sql()[0] + qs2 = pickle.loads(pickle.dumps(qs)) + self.assertEqual( + qs2.query.get_compiler(qs2.db).as_sql()[0], + query, + ) + + def test_more_more_more(self): + # Regression for #10199 - Aggregate calls clone the original query so + # the original query can still be used + books = Book.objects.all() + books.aggregate(Avg("authors__age")) + self.assertQuerysetEqual( + books.all(), [ + 'Artificial Intelligence: A Modern Approach', + 'Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp', + 'Practical Django Projects', + 'Python Web Development with Django', + 'Sams Teach Yourself Django in 24 Hours', + 'The Definitive Guide to Django: Web Development Done Right' + ], + lambda b: b.name + ) + + # Regression for #10248 - Annotations work with DateQuerySets + qs = Book.objects.annotate(num_authors=Count('authors')).filter(num_authors=2).dates('pubdate', 'day') + self.assertQuerysetEqual( + qs, [ + datetime.date(1995, 1, 15), + datetime.date(2007, 12, 6), + ], + lambda b: b + ) + + # Regression for #10290 - extra selects with parameters can be used for + # grouping. + qs = Book.objects.annotate(mean_auth_age=Avg('authors__age')).extra(select={'sheets' : '(pages + %s) / %s'}, select_params=[1, 2]).order_by('sheets').values('sheets') + self.assertQuerysetEqual( + qs, [ + 150, + 175, + 224, + 264, + 473, + 566 + ], + lambda b: int(b["sheets"]) + ) + + # Regression for 10425 - annotations don't get in the way of a count() + # clause + self.assertEqual( + Book.objects.values('publisher').annotate(Count('publisher')).count(), + 4 + ) + self.assertEqual( + Book.objects.annotate(Count('publisher')).values('publisher').count(), + 6 + ) + + publishers = Publisher.objects.filter(id__in=[1, 2]) + self.assertEqual( + sorted(p.name for p in publishers), + [ + "Apress", + "Sams" + ] + ) + + publishers = publishers.annotate(n_books=Count("book")) + self.assertEqual( + publishers[0].n_books, + 2 + ) + + self.assertEqual( + sorted(p.name for p in publishers), + [ + "Apress", + "Sams" + ] + ) + + books = Book.objects.filter(publisher__in=publishers) + self.assertQuerysetEqual( + books, [ + "Practical Django Projects", + "Sams Teach Yourself Django in 24 Hours", + "The Definitive Guide to Django: Web Development Done Right", + ], + lambda b: b.name + ) + self.assertEqual( + sorted(p.name for p in publishers), + [ + "Apress", + "Sams" + ] + ) + + # Regression for 10666 - inherited fields work with annotations and + # aggregations + self.assertEqual( + HardbackBook.objects.aggregate(n_pages=Sum('book_ptr__pages')), + {'n_pages': 2078} + ) + + self.assertEqual( + HardbackBook.objects.aggregate(n_pages=Sum('pages')), + {'n_pages': 2078}, + ) + + qs = HardbackBook.objects.annotate(n_authors=Count('book_ptr__authors')).values('name', 'n_authors') + self.assertQuerysetEqual( + qs, [ + {'n_authors': 2, 'name': 'Artificial Intelligence: A Modern Approach'}, + {'n_authors': 1, 'name': 'Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp'} + ], + lambda h: h + ) + + qs = HardbackBook.objects.annotate(n_authors=Count('authors')).values('name', 'n_authors') + self.assertQuerysetEqual( + qs, [ + {'n_authors': 2, 'name': 'Artificial Intelligence: A Modern Approach'}, + {'n_authors': 1, 'name': 'Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp'} + ], + lambda h: h, + ) + + # Regression for #10766 - Shouldn't be able to reference an aggregate + # fields in an aggregate() call. + self.assertRaises( + FieldError, + lambda: Book.objects.annotate(mean_age=Avg('authors__age')).annotate(Avg('mean_age')) + ) + + def test_empty_filter_count(self): + self.assertEqual( + Author.objects.filter(id__in=[]).annotate(Count("friends")).count(), + 0 + ) + + def test_empty_filter_aggregate(self): + self.assertEqual( + Author.objects.filter(id__in=[]).annotate(Count("friends")).aggregate(Count("pk")), + {"pk__count": None} + ) + + def test_none_call_before_aggregate(self): + # Regression for #11789 + self.assertEqual( + Author.objects.none().aggregate(Avg('age')), + {'age__avg': None} + ) + + def test_annotate_and_join(self): + self.assertEqual( + Author.objects.annotate(c=Count("friends__name")).exclude(friends__name="Joe").count(), + Author.objects.count() + ) + + def test_f_expression_annotation(self): + # Books with less than 200 pages per author. + qs = Book.objects.values("name").annotate( + n_authors=Count("authors") + ).filter( + pages__lt=F("n_authors") * 200 + ).values_list("pk") + self.assertQuerysetEqual( + Book.objects.filter(pk__in=qs), [ + "Python Web Development with Django" + ], + attrgetter("name") + ) + + def test_values_annotate_values(self): + qs = Book.objects.values("name").annotate( + n_authors=Count("authors") + ).values_list("pk", flat=True) + self.assertEqual(list(qs), list(Book.objects.values_list("pk", flat=True))) + + def test_having_group_by(self): + # Test that when a field occurs on the LHS of a HAVING clause that it + # appears correctly in the GROUP BY clause + qs = Book.objects.values_list("name").annotate( + n_authors=Count("authors") + ).filter( + pages__gt=F("n_authors") + ).values_list("name", flat=True) + # Results should be the same, all Books have more pages than authors + self.assertEqual( + list(qs), list(Book.objects.values_list("name", flat=True)) + ) + + def test_annotation_disjunction(self): + qs = Book.objects.annotate(n_authors=Count("authors")).filter( + Q(n_authors=2) | Q(name="Python Web Development with Django") + ) + self.assertQuerysetEqual( + qs, [ + "Artificial Intelligence: A Modern Approach", + "Python Web Development with Django", + "The Definitive Guide to Django: Web Development Done Right", + ], + attrgetter("name") + ) + + qs = Book.objects.annotate(n_authors=Count("authors")).filter( + Q(name="The Definitive Guide to Django: Web Development Done Right") | (Q(name="Artificial Intelligence: A Modern Approach") & Q(n_authors=3)) + ) + self.assertQuerysetEqual( + qs, [ + "The Definitive Guide to Django: Web Development Done Right", + ], + attrgetter("name") + ) + + qs = Publisher.objects.annotate( + rating_sum=Sum("book__rating"), + book_count=Count("book") + ).filter( + Q(rating_sum__gt=5.5) | Q(rating_sum__isnull=True) + ).order_by('pk') + self.assertQuerysetEqual( + qs, [ + "Apress", + "Prentice Hall", + "Jonno's House of Books", + ], + attrgetter("name") + ) + + qs = Publisher.objects.annotate( + rating_sum=Sum("book__rating"), + book_count=Count("book") + ).filter( + Q(pk__lt=F("book_count")) | Q(rating_sum=None) + ).order_by("pk") + self.assertQuerysetEqual( + qs, [ + "Apress", + "Jonno's House of Books", + ], + attrgetter("name") + ) + + def test_quoting_aggregate_order_by(self): + qs = Book.objects.filter( + name="Python Web Development with Django" + ).annotate( + authorCount=Count("authors") + ).order_by("authorCount") + self.assertQuerysetEqual( + qs, [ + ("Python Web Development with Django", 3), + ], + lambda b: (b.name, b.authorCount) + ) + + @skipUnlessDBFeature('supports_stddev') + def test_stddev(self): + self.assertEqual( + Book.objects.aggregate(StdDev('pages')), + {'pages__stddev': Approximate(311.46, 1)} + ) + + self.assertEqual( + Book.objects.aggregate(StdDev('rating')), + {'rating__stddev': Approximate(0.60, 1)} + ) + + self.assertEqual( + Book.objects.aggregate(StdDev('price')), + {'price__stddev': Approximate(24.16, 2)} + ) + + self.assertEqual( + Book.objects.aggregate(StdDev('pages', sample=True)), + {'pages__stddev': Approximate(341.19, 2)} + ) + + self.assertEqual( + Book.objects.aggregate(StdDev('rating', sample=True)), + {'rating__stddev': Approximate(0.66, 2)} + ) + + self.assertEqual( + Book.objects.aggregate(StdDev('price', sample=True)), + {'price__stddev': Approximate(26.46, 1)} + ) + + self.assertEqual( + Book.objects.aggregate(Variance('pages')), + {'pages__variance': Approximate(97010.80, 1)} + ) + + self.assertEqual( + Book.objects.aggregate(Variance('rating')), + {'rating__variance': Approximate(0.36, 1)} + ) + + self.assertEqual( + Book.objects.aggregate(Variance('price')), + {'price__variance': Approximate(583.77, 1)} + ) + + self.assertEqual( + Book.objects.aggregate(Variance('pages', sample=True)), + {'pages__variance': Approximate(116412.96, 1)} + ) + + self.assertEqual( + Book.objects.aggregate(Variance('rating', sample=True)), + {'rating__variance': Approximate(0.44, 2)} + ) + + self.assertEqual( + Book.objects.aggregate(Variance('price', sample=True)), + {'price__variance': Approximate(700.53, 2)} + ) + + def test_filtering_by_annotation_name(self): + # Regression test for #14476 + + # The name of the explicitly provided annotation name in this case + # poses no problem + qs = Author.objects.annotate(book_cnt=Count('book')).filter(book_cnt=2) + self.assertQuerysetEqual( + qs, + ['Peter Norvig'], + lambda b: b.name + ) + # Neither in this case + qs = Author.objects.annotate(book_count=Count('book')).filter(book_count=2) + self.assertQuerysetEqual( + qs, + ['Peter Norvig'], + lambda b: b.name + ) + # This case used to fail because the ORM couldn't resolve the + # automatically generated annotation name `book__count` + qs = Author.objects.annotate(Count('book')).filter(book__count=2) + self.assertQuerysetEqual( + qs, + ['Peter Norvig'], + lambda b: b.name + ) + + def test_type_conversion(self): + # The database backend convert_values function should not try to covert + # CharFields to float. Refs #13844. + from django.db.models import CharField + from django.db import connection + testData = 'not_a_float_value' + testField = CharField() + self.assertEqual( + connection.ops.convert_values(testData, testField), + testData + ) + + def test_annotate_joins(self): + """ + Test that the base table's join isn't promoted to LOUTER. This could + cause the query generation to fail if there is an exclude() for fk-field + in the query, too. Refs #19087. + """ + qs = Book.objects.annotate(n=Count('pk')) + self.assertIs(qs.query.alias_map['aggregation_regress_book'].join_type, None) + # Check that the query executes without problems. + self.assertEqual(len(qs.exclude(publisher=-1)), 6) + + @skipUnlessDBFeature("allows_group_by_pk") + def test_aggregate_duplicate_columns(self): + # Regression test for #17144 + + results = Author.objects.annotate(num_contacts=Count('book_contact_set')) + + # There should only be one GROUP BY clause, for the `id` column. + # `name` and `age` should not be grouped on. + grouping, gb_params = results.query.get_compiler(using='default').get_grouping([]) + self.assertEqual(len(grouping), 1) + assert 'id' in grouping[0] + assert 'name' not in grouping[0] + assert 'age' not in grouping[0] + + # The query group_by property should also only show the `id`. + self.assertEqual(results.query.group_by, [('aggregation_regress_author', 'id')]) + + # Ensure that we get correct results. + self.assertEqual( + [(a.name, a.num_contacts) for a in results.order_by('name')], + [ + ('Adrian Holovaty', 1), + ('Brad Dayley', 1), + ('Jacob Kaplan-Moss', 0), + ('James Bennett', 1), + ('Jeffrey Forcier', 1), + ('Paul Bissex', 0), + ('Peter Norvig', 2), + ('Stuart Russell', 0), + ('Wesley J. Chun', 0), + ] + ) + + @skipUnlessDBFeature("allows_group_by_pk") + def test_aggregate_duplicate_columns_only(self): + # Works with only() too. + results = Author.objects.only('id', 'name').annotate(num_contacts=Count('book_contact_set')) + grouping, gb_params = results.query.get_compiler(using='default').get_grouping([]) + self.assertEqual(len(grouping), 1) + assert 'id' in grouping[0] + assert 'name' not in grouping[0] + assert 'age' not in grouping[0] + + # The query group_by property should also only show the `id`. + self.assertEqual(results.query.group_by, [('aggregation_regress_author', 'id')]) + + # Ensure that we get correct results. + self.assertEqual( + [(a.name, a.num_contacts) for a in results.order_by('name')], + [ + ('Adrian Holovaty', 1), + ('Brad Dayley', 1), + ('Jacob Kaplan-Moss', 0), + ('James Bennett', 1), + ('Jeffrey Forcier', 1), + ('Paul Bissex', 0), + ('Peter Norvig', 2), + ('Stuart Russell', 0), + ('Wesley J. Chun', 0), + ] + ) + + @skipUnlessDBFeature("allows_group_by_pk") + def test_aggregate_duplicate_columns_select_related(self): + # And select_related() + results = Book.objects.select_related('contact').annotate( + num_authors=Count('authors')) + grouping, gb_params = results.query.get_compiler(using='default').get_grouping([]) + self.assertEqual(len(grouping), 1) + assert 'id' in grouping[0] + assert 'name' not in grouping[0] + assert 'contact' not in grouping[0] + + # The query group_by property should also only show the `id`. + self.assertEqual(results.query.group_by, [('aggregation_regress_book', 'id')]) + + # Ensure that we get correct results. + self.assertEqual( + [(b.name, b.num_authors) for b in results.order_by('name')], + [ + ('Artificial Intelligence: A Modern Approach', 2), + ('Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp', 1), + ('Practical Django Projects', 1), + ('Python Web Development with Django', 3), + ('Sams Teach Yourself Django in 24 Hours', 1), + ('The Definitive Guide to Django: Web Development Done Right', 2) + ] + ) + + def test_reverse_join_trimming(self): + qs = Author.objects.annotate(Count('book_contact_set__contact')) + self.assertIn(' JOIN ', str(qs.query)) + + def test_aggregation_with_generic_reverse_relation(self): + """ + Regression test for #10870: Aggregates with joins ignore extra + filters provided by setup_joins + + tests aggregations with generic reverse relations + """ + b = Book.objects.get(name='Practical Django Projects') + ItemTag.objects.create(object_id=b.id, tag='intermediate', + content_type=ContentType.objects.get_for_model(b)) + ItemTag.objects.create(object_id=b.id, tag='django', + content_type=ContentType.objects.get_for_model(b)) + # Assign a tag to model with same PK as the book above. If the JOIN + # used in aggregation doesn't have content type as part of the + # condition the annotation will also count the 'hi mom' tag for b. + wmpk = WithManualPK.objects.create(id=b.pk) + ItemTag.objects.create(object_id=wmpk.id, tag='hi mom', + content_type=ContentType.objects.get_for_model(wmpk)) + b = Book.objects.get(name__startswith='Paradigms of Artificial Intelligence') + ItemTag.objects.create(object_id=b.id, tag='intermediate', + content_type=ContentType.objects.get_for_model(b)) + + self.assertEqual(Book.objects.aggregate(Count('tags')), {'tags__count': 3}) + results = Book.objects.annotate(Count('tags')).order_by('-tags__count', 'name') + self.assertEqual( + [(b.name, b.tags__count) for b in results], + [ + ('Practical Django Projects', 2), + ('Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp', 1), + ('Artificial Intelligence: A Modern Approach', 0), + ('Python Web Development with Django', 0), + ('Sams Teach Yourself Django in 24 Hours', 0), + ('The Definitive Guide to Django: Web Development Done Right', 0) + ] + ) |