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+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.date(1991, 1, 1)",
+ "datetime.date(1995, 1, 1)",
+ "datetime.date(2007, 1, 1)",
+ "datetime.date(2008, 1, 1)"
+ ]
+ )