from __future__ import absolute_import import datetime from decimal import Decimal from django.db.models import Avg, Sum, Count, Max, Min from django.test import TestCase, Approximate from .models import Author, Publisher, Book, Store class BaseAggregateTestCase(TestCase): fixtures = ["aggregation.json"] def test_empty_aggregate(self): self.assertEqual(Author.objects.all().aggregate(), {}) def test_single_aggregate(self): vals = Author.objects.aggregate(Avg("age")) self.assertEqual(vals, {"age__avg": Approximate(37.4, places=1)}) def test_multiple_aggregates(self): vals = Author.objects.aggregate(Sum("age"), Avg("age")) self.assertEqual(vals, {"age__sum": 337, "age__avg": Approximate(37.4, places=1)}) def test_filter_aggregate(self): vals = Author.objects.filter(age__gt=29).aggregate(Sum("age")) self.assertEqual(len(vals), 1) self.assertEqual(vals["age__sum"], 254) def test_related_aggregate(self): vals = Author.objects.aggregate(Avg("friends__age")) self.assertEqual(len(vals), 1) self.assertAlmostEqual(vals["friends__age__avg"], 34.07, places=2) vals = Book.objects.filter(rating__lt=4.5).aggregate(Avg("authors__age")) self.assertEqual(len(vals), 1) self.assertAlmostEqual(vals["authors__age__avg"], 38.2857, places=2) vals = Author.objects.all().filter(name__contains="a").aggregate(Avg("book__rating")) self.assertEqual(len(vals), 1) self.assertEqual(vals["book__rating__avg"], 4.0) vals = Book.objects.aggregate(Sum("publisher__num_awards")) self.assertEqual(len(vals), 1) self.assertEqual(vals["publisher__num_awards__sum"], 30) vals = Publisher.objects.aggregate(Sum("book__price")) self.assertEqual(len(vals), 1) self.assertEqual(vals["book__price__sum"], Decimal("270.27")) def test_aggregate_multi_join(self): vals = Store.objects.aggregate(Max("books__authors__age")) self.assertEqual(len(vals), 1) self.assertEqual(vals["books__authors__age__max"], 57) vals = Author.objects.aggregate(Min("book__publisher__num_awards")) self.assertEqual(len(vals), 1) self.assertEqual(vals["book__publisher__num_awards__min"], 1) def test_aggregate_alias(self): vals = Store.objects.filter(name="Amazon.com").aggregate(amazon_mean=Avg("books__rating")) self.assertEqual(len(vals), 1) self.assertAlmostEqual(vals["amazon_mean"], 4.08, places=2) def test_annotate_basic(self): self.assertQuerysetEqual( Book.objects.annotate().order_by('pk'), [ "The Definitive Guide to Django: Web Development Done Right", "Sams Teach Yourself Django in 24 Hours", "Practical Django Projects", "Python Web Development with Django", "Artificial Intelligence: A Modern Approach", "Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp" ], lambda b: b.name ) books = Book.objects.annotate(mean_age=Avg("authors__age")) b = books.get(pk=1) self.assertEqual( b.name, 'The Definitive Guide to Django: Web Development Done Right' ) self.assertEqual(b.mean_age, 34.5) def test_annotate_m2m(self): books = Book.objects.filter(rating__lt=4.5).annotate(Avg("authors__age")).order_by("name") self.assertQuerysetEqual( books, [ ('Artificial Intelligence: A Modern Approach', 51.5), ('Practical Django Projects', 29.0), ('Python Web Development with Django', Approximate(30.3, places=1)), ('Sams Teach Yourself Django in 24 Hours', 45.0) ], lambda b: (b.name, b.authors__age__avg), ) books = Book.objects.annotate(num_authors=Count("authors")).order_by("name") self.assertQuerysetEqual( books, [ ('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) ], lambda b: (b.name, b.num_authors) ) def test_backwards_m2m_annotate(self): authors = Author.objects.filter(name__contains="a").annotate(Avg("book__rating")).order_by("name") self.assertQuerysetEqual( authors, [ ('Adrian Holovaty', 4.5), ('Brad Dayley', 3.0), ('Jacob Kaplan-Moss', 4.5), ('James Bennett', 4.0), ('Paul Bissex', 4.0), ('Stuart Russell', 4.0) ], lambda a: (a.name, a.book__rating__avg) ) authors = Author.objects.annotate(num_books=Count("book")).order_by("name") self.assertQuerysetEqual( authors, [ ('Adrian Holovaty', 1), ('Brad Dayley', 1), ('Jacob Kaplan-Moss', 1), ('James Bennett', 1), ('Jeffrey Forcier', 1), ('Paul Bissex', 1), ('Peter Norvig', 2), ('Stuart Russell', 1), ('Wesley J. Chun', 1) ], lambda a: (a.name, a.num_books) ) def test_reverse_fkey_annotate(self): books = Book.objects.annotate(Sum("publisher__num_awards")).order_by("name") self.assertQuerysetEqual( books, [ ('Artificial Intelligence: A Modern Approach', 7), ('Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp', 9), ('Practical Django Projects', 3), ('Python Web Development with Django', 7), ('Sams Teach Yourself Django in 24 Hours', 1), ('The Definitive Guide to Django: Web Development Done Right', 3) ], lambda b: (b.name, b.publisher__num_awards__sum) ) publishers = Publisher.objects.annotate(Sum("book__price")).order_by("name") self.assertQuerysetEqual( publishers, [ ('Apress', Decimal("59.69")), ("Jonno's House of Books", None), ('Morgan Kaufmann', Decimal("75.00")), ('Prentice Hall', Decimal("112.49")), ('Sams', Decimal("23.09")) ], lambda p: (p.name, p.book__price__sum) ) def test_annotate_values(self): books = list(Book.objects.filter(pk=1).annotate(mean_age=Avg("authors__age")).values()) self.assertEqual( books, [ { "contact_id": 1, "id": 1, "isbn": "159059725", "mean_age": 34.5, "name": "The Definitive Guide to Django: Web Development Done Right", "pages": 447, "price": Approximate(Decimal("30")), "pubdate": datetime.date(2007, 12, 6), "publisher_id": 1, "rating": 4.5, } ] ) books = Book.objects.filter(pk=1).annotate(mean_age=Avg('authors__age')).values('pk', 'isbn', 'mean_age') self.assertEqual( list(books), [ { "pk": 1, "isbn": "159059725", "mean_age": 34.5, } ] ) books = Book.objects.filter(pk=1).annotate(mean_age=Avg("authors__age")).values("name") self.assertEqual( list(books), [ { "name": "The Definitive Guide to Django: Web Development Done Right" } ] ) books = Book.objects.filter(pk=1).values().annotate(mean_age=Avg('authors__age')) self.assertEqual( list(books), [ { "contact_id": 1, "id": 1, "isbn": "159059725", "mean_age": 34.5, "name": "The Definitive Guide to Django: Web Development Done Right", "pages": 447, "price": Approximate(Decimal("30")), "pubdate": datetime.date(2007, 12, 6), "publisher_id": 1, "rating": 4.5, } ] ) books = Book.objects.values("rating").annotate(n_authors=Count("authors__id"), mean_age=Avg("authors__age")).order_by("rating") self.assertEqual( list(books), [ { "rating": 3.0, "n_authors": 1, "mean_age": 45.0, }, { "rating": 4.0, "n_authors": 6, "mean_age": Approximate(37.16, places=1) }, { "rating": 4.5, "n_authors": 2, "mean_age": 34.5, }, { "rating": 5.0, "n_authors": 1, "mean_age": 57.0, } ] ) authors = Author.objects.annotate(Avg("friends__age")).order_by("name") self.assertEqual(len(authors), 9) self.assertQuerysetEqual( authors, [ ('Adrian Holovaty', 32.0), ('Brad Dayley', None), ('Jacob Kaplan-Moss', 29.5), ('James Bennett', 34.0), ('Jeffrey Forcier', 27.0), ('Paul Bissex', 31.0), ('Peter Norvig', 46.0), ('Stuart Russell', 57.0), ('Wesley J. Chun', Approximate(33.66, places=1)) ], lambda a: (a.name, a.friends__age__avg) ) def test_count(self): vals = Book.objects.aggregate(Count("rating")) self.assertEqual(vals, {"rating__count": 6}) vals = Book.objects.aggregate(Count("rating", distinct=True)) self.assertEqual(vals, {"rating__count": 4}) def test_fkey_aggregate(self): explicit = list(Author.objects.annotate(Count('book__id'))) implicit = list(Author.objects.annotate(Count('book'))) self.assertEqual(explicit, implicit) def test_annotate_ordering(self): books = Book.objects.values('rating').annotate(oldest=Max('authors__age')).order_by('oldest', 'rating') self.assertEqual( list(books), [ { "rating": 4.5, "oldest": 35, }, { "rating": 3.0, "oldest": 45 }, { "rating": 4.0, "oldest": 57, }, { "rating": 5.0, "oldest": 57, } ] ) books = Book.objects.values("rating").annotate(oldest=Max("authors__age")).order_by("-oldest", "-rating") self.assertEqual( list(books), [ { "rating": 5.0, "oldest": 57, }, { "rating": 4.0, "oldest": 57, }, { "rating": 3.0, "oldest": 45, }, { "rating": 4.5, "oldest": 35, } ] ) def test_aggregate_annotation(self): vals = Book.objects.annotate(num_authors=Count("authors__id")).aggregate(Avg("num_authors")) self.assertEqual(vals, {"num_authors__avg": Approximate(1.66, places=1)}) def test_filtering(self): p = Publisher.objects.create(name='Expensive Publisher', num_awards=0) Book.objects.create( name='ExpensiveBook1', pages=1, isbn='111', rating=3.5, price=Decimal("1000"), publisher=p, contact_id=1, pubdate=datetime.date(2008,12,1) ) Book.objects.create( name='ExpensiveBook2', pages=1, isbn='222', rating=4.0, price=Decimal("1000"), publisher=p, contact_id=1, pubdate=datetime.date(2008,12,2) ) Book.objects.create( name='ExpensiveBook3', pages=1, isbn='333', rating=4.5, price=Decimal("35"), publisher=p, contact_id=1, pubdate=datetime.date(2008,12,3) ) publishers = Publisher.objects.annotate(num_books=Count("book__id")).filter(num_books__gt=1).order_by("pk") self.assertQuerysetEqual( publishers, [ "Apress", "Prentice Hall", "Expensive Publisher", ], lambda p: p.name, ) publishers = Publisher.objects.filter(book__price__lt=Decimal("40.0")).order_by("pk") self.assertQuerysetEqual( publishers, [ "Apress", "Apress", "Sams", "Prentice Hall", "Expensive Publisher", ], lambda p: p.name ) publishers = Publisher.objects.annotate(num_books=Count("book__id")).filter(num_books__gt=1, book__price__lt=Decimal("40.0")).order_by("pk") self.assertQuerysetEqual( publishers, [ "Apress", "Prentice Hall", "Expensive Publisher", ], lambda p: p.name, ) publishers = Publisher.objects.filter(book__price__lt=Decimal("40.0")).annotate(num_books=Count("book__id")).filter(num_books__gt=1).order_by("pk") self.assertQuerysetEqual( publishers, [ "Apress", ], lambda p: p.name ) publishers = Publisher.objects.annotate(num_books=Count("book")).filter(num_books__range=[1, 3]).order_by("pk") self.assertQuerysetEqual( publishers, [ "Apress", "Sams", "Prentice Hall", "Morgan Kaufmann", "Expensive Publisher", ], lambda p: p.name ) publishers = Publisher.objects.annotate(num_books=Count("book")).filter(num_books__range=[1, 2]).order_by("pk") self.assertQuerysetEqual( publishers, [ "Apress", "Sams", "Prentice Hall", "Morgan Kaufmann", ], lambda p: p.name ) publishers = Publisher.objects.annotate(num_books=Count("book")).filter(num_books__in=[1, 3]).order_by("pk") self.assertQuerysetEqual( publishers, [ "Sams", "Morgan Kaufmann", "Expensive Publisher", ], lambda p: p.name, ) publishers = Publisher.objects.annotate(num_books=Count("book")).filter(num_books__isnull=True) self.assertEqual(len(publishers), 0) def test_annotation(self): vals = Author.objects.filter(pk=1).aggregate(Count("friends__id")) self.assertEqual(vals, {"friends__id__count": 2}) books = Book.objects.annotate(num_authors=Count("authors__name")).filter(num_authors__ge=2).order_by("pk") self.assertQuerysetEqual( books, [ "The Definitive Guide to Django: Web Development Done Right", "Artificial Intelligence: A Modern Approach", ], lambda b: b.name ) authors = Author.objects.annotate(num_friends=Count("friends__id", distinct=True)).filter(num_friends=0).order_by("pk") self.assertQuerysetEqual( authors, [ "Brad Dayley", ], lambda a: a.name ) publishers = Publisher.objects.annotate(num_books=Count("book__id")).filter(num_books__gt=1).order_by("pk") self.assertQuerysetEqual( publishers, [ "Apress", "Prentice Hall", ], lambda p: p.name ) publishers = Publisher.objects.filter(book__price__lt=Decimal("40.0")).annotate(num_books=Count("book__id")).filter(num_books__gt=1) self.assertQuerysetEqual( publishers, [ "Apress", ], lambda p: p.name ) books = Book.objects.annotate(num_authors=Count("authors__id")).filter(authors__name__contains="Norvig", num_authors__gt=1) self.assertQuerysetEqual( books, [ "Artificial Intelligence: A Modern Approach", ], lambda b: b.name ) def test_more_aggregation(self): a = Author.objects.get(name__contains='Norvig') b = Book.objects.get(name__contains='Done Right') b.authors.add(a) b.save() vals = Book.objects.annotate(num_authors=Count("authors__id")).filter(authors__name__contains="Norvig", num_authors__gt=1).aggregate(Avg("rating")) self.assertEqual(vals, {"rating__avg": 4.25}) def test_even_more_aggregate(self): publishers = Publisher.objects.annotate(earliest_book=Min("book__pubdate")).exclude(earliest_book=None).order_by("earliest_book").values() self.assertEqual( list(publishers), [ { 'earliest_book': datetime.date(1991, 10, 15), 'num_awards': 9, 'id': 4, 'name': 'Morgan Kaufmann' }, { 'earliest_book': datetime.date(1995, 1, 15), 'num_awards': 7, 'id': 3, 'name': 'Prentice Hall' }, { 'earliest_book': datetime.date(2007, 12, 6), 'num_awards': 3, 'id': 1, 'name': 'Apress' }, { 'earliest_book': datetime.date(2008, 3, 3), 'num_awards': 1, 'id': 2, 'name': 'Sams' } ] ) vals = Store.objects.aggregate(Max("friday_night_closing"), Min("original_opening")) self.assertEqual( vals, { "friday_night_closing__max": datetime.time(23, 59, 59), "original_opening__min": datetime.datetime(1945, 4, 25, 16, 24, 14), } ) def test_annotate_values_list(self): books = Book.objects.filter(pk=1).annotate(mean_age=Avg("authors__age")).values_list("pk", "isbn", "mean_age") self.assertEqual( list(books), [ (1, "159059725", 34.5), ] ) books = Book.objects.filter(pk=1).annotate(mean_age=Avg("authors__age")).values_list("isbn") self.assertEqual( list(books), [ ('159059725',) ] ) books = Book.objects.filter(pk=1).annotate(mean_age=Avg("authors__age")).values_list("mean_age") self.assertEqual( list(books), [ (34.5,) ] ) books = Book.objects.filter(pk=1).annotate(mean_age=Avg("authors__age")).values_list("mean_age", flat=True) self.assertEqual(list(books), [34.5]) books = Book.objects.values_list("price").annotate(count=Count("price")).order_by("-count", "price") self.assertEqual( list(books), [ (Decimal("29.69"), 2), (Decimal('23.09'), 1), (Decimal('30'), 1), (Decimal('75'), 1), (Decimal('82.8'), 1), ] ) def test_dates_with_aggregation(self): """ Test that .dates() returns a distinct set of dates when applied to a QuerySet with aggregation. Refs #18056. Previously, .dates() would return distinct (date_kind, aggregation) sets, in this case (year, num_authors), so 2008 would be returned twice because there are books from 2008 with a different number of authors. """ dates = Book.objects.annotate(num_authors=Count("authors")).dates('pubdate', 'year') self.assertQuerysetEqual( dates, [ "datetime.datetime(1991, 1, 1, 0, 0)", "datetime.datetime(1995, 1, 1, 0, 0)", "datetime.datetime(2007, 1, 1, 0, 0)", "datetime.datetime(2008, 1, 1, 0, 0)" ] )