import datetime import math import re from decimal import Decimal from django.core.exceptions import FieldError from django.db import connection from django.db.models import ( Avg, Case, Count, DateField, DateTimeField, DecimalField, DurationField, Exists, F, FloatField, IntegerField, Max, Min, OuterRef, Q, StdDev, Subquery, Sum, TimeField, Value, Variance, When, ) from django.db.models.expressions import Func, RawSQL from django.db.models.functions import ( Cast, Coalesce, Greatest, Now, Pi, TruncDate, TruncHour, ) from django.test import TestCase from django.test.testcases import skipUnlessDBFeature from django.test.utils import Approximate, CaptureQueriesContext from django.utils import timezone from .models import Author, Book, Publisher, Store class NowUTC(Now): template = "CURRENT_TIMESTAMP" output_field = DateTimeField() def as_sql(self, compiler, connection, **extra_context): if connection.features.test_now_utc_template: extra_context["template"] = connection.features.test_now_utc_template return super().as_sql(compiler, connection, **extra_context) class AggregateTestCase(TestCase): @classmethod def setUpTestData(cls): cls.a1 = Author.objects.create(name="Adrian Holovaty", age=34) cls.a2 = Author.objects.create(name="Jacob Kaplan-Moss", age=35) cls.a3 = Author.objects.create(name="Brad Dayley", age=45) cls.a4 = Author.objects.create(name="James Bennett", age=29) cls.a5 = Author.objects.create(name="Jeffrey Forcier", age=37) cls.a6 = Author.objects.create(name="Paul Bissex", age=29) cls.a7 = Author.objects.create(name="Wesley J. Chun", age=25) cls.a8 = Author.objects.create(name="Peter Norvig", age=57) cls.a9 = Author.objects.create(name="Stuart Russell", age=46) cls.a1.friends.add(cls.a2, cls.a4) cls.a2.friends.add(cls.a1, cls.a7) cls.a4.friends.add(cls.a1) cls.a5.friends.add(cls.a6, cls.a7) cls.a6.friends.add(cls.a5, cls.a7) cls.a7.friends.add(cls.a2, cls.a5, cls.a6) cls.a8.friends.add(cls.a9) cls.a9.friends.add(cls.a8) cls.p1 = Publisher.objects.create( name="Apress", num_awards=3, duration=datetime.timedelta(days=1) ) cls.p2 = Publisher.objects.create( name="Sams", num_awards=1, duration=datetime.timedelta(days=2) ) cls.p3 = Publisher.objects.create(name="Prentice Hall", num_awards=7) cls.p4 = Publisher.objects.create(name="Morgan Kaufmann", num_awards=9) cls.p5 = Publisher.objects.create(name="Jonno's House of Books", num_awards=0) cls.b1 = Book.objects.create( isbn="159059725", name="The Definitive Guide to Django: Web Development Done Right", pages=447, rating=4.5, price=Decimal("30.00"), contact=cls.a1, publisher=cls.p1, pubdate=datetime.date(2007, 12, 6), ) cls.b2 = Book.objects.create( isbn="067232959", name="Sams Teach Yourself Django in 24 Hours", pages=528, rating=3.0, price=Decimal("23.09"), contact=cls.a3, publisher=cls.p2, pubdate=datetime.date(2008, 3, 3), ) cls.b3 = Book.objects.create( isbn="159059996", name="Practical Django Projects", pages=300, rating=4.0, price=Decimal("29.69"), contact=cls.a4, publisher=cls.p1, pubdate=datetime.date(2008, 6, 23), ) cls.b4 = Book.objects.create( isbn="013235613", name="Python Web Development with Django", pages=350, rating=4.0, price=Decimal("29.69"), contact=cls.a5, publisher=cls.p3, pubdate=datetime.date(2008, 11, 3), ) cls.b5 = Book.objects.create( isbn="013790395", name="Artificial Intelligence: A Modern Approach", pages=1132, rating=4.0, price=Decimal("82.80"), contact=cls.a8, publisher=cls.p3, pubdate=datetime.date(1995, 1, 15), ) cls.b6 = Book.objects.create( isbn="155860191", name=( "Paradigms of Artificial Intelligence Programming: Case Studies in " "Common Lisp" ), pages=946, rating=5.0, price=Decimal("75.00"), contact=cls.a8, publisher=cls.p4, pubdate=datetime.date(1991, 10, 15), ) cls.b1.authors.add(cls.a1, cls.a2) cls.b2.authors.add(cls.a3) cls.b3.authors.add(cls.a4) cls.b4.authors.add(cls.a5, cls.a6, cls.a7) cls.b5.authors.add(cls.a8, cls.a9) cls.b6.authors.add(cls.a8) s1 = Store.objects.create( name="Amazon.com", original_opening=datetime.datetime(1994, 4, 23, 9, 17, 42), friday_night_closing=datetime.time(23, 59, 59), ) s2 = Store.objects.create( name="Books.com", original_opening=datetime.datetime(2001, 3, 15, 11, 23, 37), friday_night_closing=datetime.time(23, 59, 59), ) s3 = Store.objects.create( name="Mamma and Pappa's Books", original_opening=datetime.datetime(1945, 4, 25, 16, 24, 14), friday_night_closing=datetime.time(21, 30), ) s1.books.add(cls.b1, cls.b2, cls.b3, cls.b4, cls.b5, cls.b6) s2.books.add(cls.b1, cls.b3, cls.b5, cls.b6) s3.books.add(cls.b3, cls.b4, cls.b6) def test_empty_aggregate(self): self.assertEqual(Author.objects.aggregate(), {}) def test_aggregate_in_order_by(self): msg = ( "Using an aggregate in order_by() without also including it in " "annotate() is not allowed: Avg(F(book__rating)" ) with self.assertRaisesMessage(FieldError, msg): Author.objects.values("age").order_by(Avg("book__rating")) 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(vals, {"age__sum": 254}) def test_related_aggregate(self): vals = Author.objects.aggregate(Avg("friends__age")) self.assertEqual(vals, {"friends__age__avg": Approximate(34.07, places=2)}) vals = Book.objects.filter(rating__lt=4.5).aggregate(Avg("authors__age")) self.assertEqual(vals, {"authors__age__avg": Approximate(38.2857, places=2)}) vals = Author.objects.filter(name__contains="a").aggregate(Avg("book__rating")) self.assertEqual(vals, {"book__rating__avg": 4.0}) vals = Book.objects.aggregate(Sum("publisher__num_awards")) self.assertEqual(vals, {"publisher__num_awards__sum": 30}) vals = Publisher.objects.aggregate(Sum("book__price")) 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(vals, {"books__authors__age__max": 57}) vals = Author.objects.aggregate(Min("book__publisher__num_awards")) 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(vals, {"amazon_mean": Approximate(4.08, places=2)}) def test_aggregate_transform(self): vals = Store.objects.aggregate(min_month=Min("original_opening__month")) self.assertEqual(vals, {"min_month": 3}) def test_aggregate_join_transform(self): vals = Publisher.objects.aggregate(min_year=Min("book__pubdate__year")) self.assertEqual(vals, {"min_year": 1991}) 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=self.b1.pk) self.assertEqual( b.name, "The Definitive Guide to Django: Web Development Done Right" ) self.assertEqual(b.mean_age, 34.5) def test_annotate_defer(self): qs = ( Book.objects.annotate(page_sum=Sum("pages")) .defer("name") .filter(pk=self.b1.pk) ) rows = [ ( self.b1.id, "159059725", 447, "The Definitive Guide to Django: Web Development Done Right", ) ] self.assertQuerysetEqual( qs.order_by("pk"), rows, lambda r: (r.id, r.isbn, r.page_sum, r.name) ) def test_annotate_defer_select_related(self): qs = ( Book.objects.select_related("contact") .annotate(page_sum=Sum("pages")) .defer("name") .filter(pk=self.b1.pk) ) rows = [ ( self.b1.id, "159059725", 447, "Adrian Holovaty", "The Definitive Guide to Django: Web Development Done Right", ) ] self.assertQuerysetEqual( qs.order_by("pk"), rows, lambda r: (r.id, r.isbn, r.page_sum, r.contact.name, r.name), ) 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=self.b1.pk) .annotate(mean_age=Avg("authors__age")) .values() ) self.assertEqual( books, [ { "contact_id": self.a1.id, "id": self.b1.id, "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": self.p1.id, "rating": 4.5, } ], ) books = ( Book.objects.filter(pk=self.b1.pk) .annotate(mean_age=Avg("authors__age")) .values("pk", "isbn", "mean_age") ) self.assertEqual( list(books), [ { "pk": self.b1.pk, "isbn": "159059725", "mean_age": 34.5, } ], ) books = ( Book.objects.filter(pk=self.b1.pk) .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=self.b1.pk) .values() .annotate(mean_age=Avg("authors__age")) ) self.assertEqual( list(books), [ { "contact_id": self.a1.id, "id": self.b1.id, "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": self.p1.id, "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.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}) def test_count_star(self): with self.assertNumQueries(1) as ctx: Book.objects.aggregate(n=Count("*")) sql = ctx.captured_queries[0]["sql"] self.assertIn("SELECT COUNT(*) ", sql) def test_count_distinct_expression(self): aggs = Book.objects.aggregate( distinct_ratings=Count( Case(When(pages__gt=300, then="rating")), distinct=True ), ) self.assertEqual(aggs["distinct_ratings"], 4) def test_distinct_on_aggregate(self): for aggregate, expected_result in ( (Avg, 4.125), (Count, 4), (Sum, 16.5), ): with self.subTest(aggregate=aggregate.__name__): books = Book.objects.aggregate( ratings=aggregate("rating", distinct=True) ) self.assertEqual(books["ratings"], expected_result) def test_non_grouped_annotation_not_in_group_by(self): """ An annotation not included in values() before an aggregate should be excluded from the group by clause. """ qs = ( Book.objects.annotate(xprice=F("price")) .filter(rating=4.0) .values("rating") .annotate(count=Count("publisher_id", distinct=True)) .values("count", "rating") .order_by("count") ) self.assertEqual(list(qs), [{"rating": 4.0, "count": 2}]) def test_grouped_annotation_in_group_by(self): """ An annotation included in values() before an aggregate should be included in the group by clause. """ qs = ( Book.objects.annotate(xprice=F("price")) .filter(rating=4.0) .values("rating", "xprice") .annotate(count=Count("publisher_id", distinct=True)) .values("count", "rating") .order_by("count") ) self.assertEqual( list(qs), [ {"rating": 4.0, "count": 1}, {"rating": 4.0, "count": 2}, ], ) def test_fkey_aggregate(self): explicit = list(Author.objects.annotate(Count("book__id"))) implicit = list(Author.objects.annotate(Count("book"))) self.assertCountEqual(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_avg_duration_field(self): # Explicit `output_field`. self.assertEqual( Publisher.objects.aggregate(Avg("duration", output_field=DurationField())), {"duration__avg": datetime.timedelta(days=1, hours=12)}, ) # Implicit `output_field`. self.assertEqual( Publisher.objects.aggregate(Avg("duration")), {"duration__avg": datetime.timedelta(days=1, hours=12)}, ) def test_sum_duration_field(self): self.assertEqual( Publisher.objects.aggregate(Sum("duration", output_field=DurationField())), {"duration__sum": datetime.timedelta(days=3)}, ) def test_sum_distinct_aggregate(self): """ Sum on a distinct() QuerySet should aggregate only the distinct items. """ authors = Author.objects.filter(book__in=[self.b5, self.b6]) self.assertEqual(authors.count(), 3) distinct_authors = authors.distinct() self.assertEqual(distinct_authors.count(), 2) # Selected author ages are 57 and 46 age_sum = distinct_authors.aggregate(Sum("age")) self.assertEqual(age_sum["age__sum"], 103) 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=self.a1.id, 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=self.a1.id, 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=self.a1.id, 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=self.a1.pk).aggregate(Count("friends__id")) self.assertEqual(vals, {"friends__id__count": 2}) books = ( Book.objects.annotate(num_authors=Count("authors__name")) .filter(num_authors__exact=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( "earliest_book", "num_awards", "id", "name", ) ) self.assertEqual( list(publishers), [ { "earliest_book": datetime.date(1991, 10, 15), "num_awards": 9, "id": self.p4.id, "name": "Morgan Kaufmann", }, { "earliest_book": datetime.date(1995, 1, 15), "num_awards": 7, "id": self.p3.id, "name": "Prentice Hall", }, { "earliest_book": datetime.date(2007, 12, 6), "num_awards": 3, "id": self.p1.id, "name": "Apress", }, { "earliest_book": datetime.date(2008, 3, 3), "num_awards": 1, "id": self.p2.id, "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=self.b1.pk) .annotate(mean_age=Avg("authors__age")) .values_list("pk", "isbn", "mean_age") ) self.assertEqual(list(books), [(self.b1.id, "159059725", 34.5)]) books = ( Book.objects.filter(pk=self.b1.pk) .annotate(mean_age=Avg("authors__age")) .values_list("isbn") ) self.assertEqual(list(books), [("159059725",)]) books = ( Book.objects.filter(pk=self.b1.pk) .annotate(mean_age=Avg("authors__age")) .values_list("mean_age") ) self.assertEqual(list(books), [(34.5,)]) books = ( Book.objects.filter(pk=self.b1.pk) .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): """ .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.assertSequenceEqual( dates, [ datetime.date(1991, 1, 1), datetime.date(1995, 1, 1), datetime.date(2007, 1, 1), datetime.date(2008, 1, 1), ], ) def test_values_aggregation(self): # Refs #20782 max_rating = Book.objects.values("rating").aggregate(max_rating=Max("rating")) self.assertEqual(max_rating["max_rating"], 5) max_books_per_rating = ( Book.objects.values("rating") .annotate(books_per_rating=Count("id")) .aggregate(Max("books_per_rating")) ) self.assertEqual(max_books_per_rating, {"books_per_rating__max": 3}) def test_ticket17424(self): """ Doing exclude() on a foreign model after annotate() doesn't crash. """ all_books = list(Book.objects.values_list("pk", flat=True).order_by("pk")) annotated_books = Book.objects.order_by("pk").annotate(one=Count("id")) # The value doesn't matter, we just need any negative # constraint on a related model that's a noop. excluded_books = annotated_books.exclude(publisher__name="__UNLIKELY_VALUE__") # Try to generate query tree str(excluded_books.query) self.assertQuerysetEqual(excluded_books, all_books, lambda x: x.pk) # Check internal state self.assertIsNone(annotated_books.query.alias_map["aggregation_book"].join_type) self.assertIsNone(excluded_books.query.alias_map["aggregation_book"].join_type) def test_ticket12886(self): """ Aggregation over sliced queryset works correctly. """ qs = Book.objects.order_by("-rating")[0:3] vals = qs.aggregate(average_top3_rating=Avg("rating"))["average_top3_rating"] self.assertAlmostEqual(vals, 4.5, places=2) def test_ticket11881(self): """ Subqueries do not needlessly contain ORDER BY, SELECT FOR UPDATE or select_related() stuff. """ qs = ( Book.objects.select_for_update() .order_by("pk") .select_related("publisher") .annotate(max_pk=Max("pk")) ) with CaptureQueriesContext(connection) as captured_queries: qs.aggregate(avg_pk=Avg("max_pk")) self.assertEqual(len(captured_queries), 1) qstr = captured_queries[0]["sql"].lower() self.assertNotIn("for update", qstr) forced_ordering = connection.ops.force_no_ordering() if forced_ordering: # If the backend needs to force an ordering we make sure it's # the only "ORDER BY" clause present in the query. self.assertEqual( re.findall(r"order by (\w+)", qstr), [", ".join(f[1][0] for f in forced_ordering).lower()], ) else: self.assertNotIn("order by", qstr) self.assertEqual(qstr.count(" join "), 0) def test_decimal_max_digits_has_no_effect(self): Book.objects.all().delete() a1 = Author.objects.first() p1 = Publisher.objects.first() thedate = timezone.now() for i in range(10): Book.objects.create( isbn="abcde{}".format(i), name="none", pages=10, rating=4.0, price=9999.98, contact=a1, publisher=p1, pubdate=thedate, ) book = Book.objects.aggregate(price_sum=Sum("price")) self.assertEqual(book["price_sum"], Decimal("99999.80")) def test_nonaggregate_aggregation_throws(self): with self.assertRaisesMessage(TypeError, "fail is not an aggregate expression"): Book.objects.aggregate(fail=F("price")) def test_nonfield_annotation(self): book = Book.objects.annotate(val=Max(Value(2))).first() self.assertEqual(book.val, 2) book = Book.objects.annotate( val=Max(Value(2), output_field=IntegerField()) ).first() self.assertEqual(book.val, 2) book = Book.objects.annotate(val=Max(2, output_field=IntegerField())).first() self.assertEqual(book.val, 2) def test_annotation_expressions(self): authors = Author.objects.annotate( combined_ages=Sum(F("age") + F("friends__age")) ).order_by("name") authors2 = Author.objects.annotate( combined_ages=Sum("age") + Sum("friends__age") ).order_by("name") for qs in (authors, authors2): self.assertQuerysetEqual( qs, [ ("Adrian Holovaty", 132), ("Brad Dayley", None), ("Jacob Kaplan-Moss", 129), ("James Bennett", 63), ("Jeffrey Forcier", 128), ("Paul Bissex", 120), ("Peter Norvig", 103), ("Stuart Russell", 103), ("Wesley J. Chun", 176), ], lambda a: (a.name, a.combined_ages), ) def test_aggregation_expressions(self): a1 = Author.objects.aggregate(av_age=Sum("age") / Count("*")) a2 = Author.objects.aggregate(av_age=Sum("age") / Count("age")) a3 = Author.objects.aggregate(av_age=Avg("age")) self.assertEqual(a1, {"av_age": 37}) self.assertEqual(a2, {"av_age": 37}) self.assertEqual(a3, {"av_age": Approximate(37.4, places=1)}) def test_avg_decimal_field(self): v = Book.objects.filter(rating=4).aggregate(avg_price=(Avg("price")))[ "avg_price" ] self.assertIsInstance(v, Decimal) self.assertEqual(v, Approximate(Decimal("47.39"), places=2)) def test_order_of_precedence(self): p1 = Book.objects.filter(rating=4).aggregate(avg_price=(Avg("price") + 2) * 3) self.assertEqual(p1, {"avg_price": Approximate(Decimal("148.18"), places=2)}) p2 = Book.objects.filter(rating=4).aggregate(avg_price=Avg("price") + 2 * 3) self.assertEqual(p2, {"avg_price": Approximate(Decimal("53.39"), places=2)}) def test_combine_different_types(self): msg = ( "Expression contains mixed types: FloatField, DecimalField. " "You must set output_field." ) qs = Book.objects.annotate(sums=Sum("rating") + Sum("pages") + Sum("price")) with self.assertRaisesMessage(FieldError, msg): qs.first() with self.assertRaisesMessage(FieldError, msg): qs.first() b1 = Book.objects.annotate( sums=Sum(F("rating") + F("pages") + F("price"), output_field=IntegerField()) ).get(pk=self.b4.pk) self.assertEqual(b1.sums, 383) b2 = Book.objects.annotate( sums=Sum(F("rating") + F("pages") + F("price"), output_field=FloatField()) ).get(pk=self.b4.pk) self.assertEqual(b2.sums, 383.69) b3 = Book.objects.annotate( sums=Sum(F("rating") + F("pages") + F("price"), output_field=DecimalField()) ).get(pk=self.b4.pk) self.assertEqual(b3.sums, Approximate(Decimal("383.69"), places=2)) def test_complex_aggregations_require_kwarg(self): with self.assertRaisesMessage( TypeError, "Complex annotations require an alias" ): Author.objects.annotate(Sum(F("age") + F("friends__age"))) with self.assertRaisesMessage(TypeError, "Complex aggregates require an alias"): Author.objects.aggregate(Sum("age") / Count("age")) with self.assertRaisesMessage(TypeError, "Complex aggregates require an alias"): Author.objects.aggregate(Sum(1)) def test_aggregate_over_complex_annotation(self): qs = Author.objects.annotate(combined_ages=Sum(F("age") + F("friends__age"))) age = qs.aggregate(max_combined_age=Max("combined_ages")) self.assertEqual(age["max_combined_age"], 176) age = qs.aggregate(max_combined_age_doubled=Max("combined_ages") * 2) self.assertEqual(age["max_combined_age_doubled"], 176 * 2) age = qs.aggregate( max_combined_age_doubled=Max("combined_ages") + Max("combined_ages") ) self.assertEqual(age["max_combined_age_doubled"], 176 * 2) age = qs.aggregate( max_combined_age_doubled=Max("combined_ages") + Max("combined_ages"), sum_combined_age=Sum("combined_ages"), ) self.assertEqual(age["max_combined_age_doubled"], 176 * 2) self.assertEqual(age["sum_combined_age"], 954) age = qs.aggregate( max_combined_age_doubled=Max("combined_ages") + Max("combined_ages"), sum_combined_age_doubled=Sum("combined_ages") + Sum("combined_ages"), ) self.assertEqual(age["max_combined_age_doubled"], 176 * 2) self.assertEqual(age["sum_combined_age_doubled"], 954 * 2) def test_values_annotation_with_expression(self): # ensure the F() is promoted to the group by clause qs = Author.objects.values("name").annotate(another_age=Sum("age") + F("age")) a = qs.get(name="Adrian Holovaty") self.assertEqual(a["another_age"], 68) qs = qs.annotate(friend_count=Count("friends")) a = qs.get(name="Adrian Holovaty") self.assertEqual(a["friend_count"], 2) qs = ( qs.annotate(combined_age=Sum("age") + F("friends__age")) .filter(name="Adrian Holovaty") .order_by("-combined_age") ) self.assertEqual( list(qs), [ { "name": "Adrian Holovaty", "another_age": 68, "friend_count": 1, "combined_age": 69, }, { "name": "Adrian Holovaty", "another_age": 68, "friend_count": 1, "combined_age": 63, }, ], ) vals = qs.values("name", "combined_age") self.assertEqual( list(vals), [ {"name": "Adrian Holovaty", "combined_age": 69}, {"name": "Adrian Holovaty", "combined_age": 63}, ], ) def test_annotate_values_aggregate(self): alias_age = ( Author.objects.annotate(age_alias=F("age")) .values( "age_alias", ) .aggregate(sum_age=Sum("age_alias")) ) age = Author.objects.values("age").aggregate(sum_age=Sum("age")) self.assertEqual(alias_age["sum_age"], age["sum_age"]) def test_annotate_over_annotate(self): author = ( Author.objects.annotate(age_alias=F("age")) .annotate(sum_age=Sum("age_alias")) .get(name="Adrian Holovaty") ) other_author = Author.objects.annotate(sum_age=Sum("age")).get( name="Adrian Holovaty" ) self.assertEqual(author.sum_age, other_author.sum_age) def test_aggregate_over_aggregate(self): msg = "Cannot compute Avg('age'): 'age' is an aggregate" with self.assertRaisesMessage(FieldError, msg): Author.objects.annotate(age_alias=F("age"),).aggregate( age=Sum(F("age")), avg_age=Avg(F("age")), ) def test_annotated_aggregate_over_annotated_aggregate(self): with self.assertRaisesMessage( FieldError, "Cannot compute Sum('id__max'): 'id__max' is an aggregate" ): Book.objects.annotate(Max("id")).annotate(Sum("id__max")) class MyMax(Max): def as_sql(self, compiler, connection): self.set_source_expressions(self.get_source_expressions()[0:1]) return super().as_sql(compiler, connection) with self.assertRaisesMessage( FieldError, "Cannot compute Max('id__max'): 'id__max' is an aggregate" ): Book.objects.annotate(Max("id")).annotate(my_max=MyMax("id__max", "price")) def test_multi_arg_aggregate(self): class MyMax(Max): output_field = DecimalField() def as_sql(self, compiler, connection): copy = self.copy() copy.set_source_expressions(copy.get_source_expressions()[0:1]) return super(MyMax, copy).as_sql(compiler, connection) with self.assertRaisesMessage(TypeError, "Complex aggregates require an alias"): Book.objects.aggregate(MyMax("pages", "price")) with self.assertRaisesMessage( TypeError, "Complex annotations require an alias" ): Book.objects.annotate(MyMax("pages", "price")) Book.objects.aggregate(max_field=MyMax("pages", "price")) def test_add_implementation(self): class MySum(Sum): pass # test completely changing how the output is rendered def lower_case_function_override(self, compiler, connection): sql, params = compiler.compile(self.source_expressions[0]) substitutions = { "function": self.function.lower(), "expressions": sql, "distinct": "", } substitutions.update(self.extra) return self.template % substitutions, params setattr(MySum, "as_" + connection.vendor, lower_case_function_override) qs = Book.objects.annotate( sums=MySum( F("rating") + F("pages") + F("price"), output_field=IntegerField() ) ) self.assertEqual(str(qs.query).count("sum("), 1) b1 = qs.get(pk=self.b4.pk) self.assertEqual(b1.sums, 383) # test changing the dict and delegating def lower_case_function_super(self, compiler, connection): self.extra["function"] = self.function.lower() return super(MySum, self).as_sql(compiler, connection) setattr(MySum, "as_" + connection.vendor, lower_case_function_super) qs = Book.objects.annotate( sums=MySum( F("rating") + F("pages") + F("price"), output_field=IntegerField() ) ) self.assertEqual(str(qs.query).count("sum("), 1) b1 = qs.get(pk=self.b4.pk) self.assertEqual(b1.sums, 383) # test overriding all parts of the template def be_evil(self, compiler, connection): substitutions = {"function": "MAX", "expressions": "2", "distinct": ""} substitutions.update(self.extra) return self.template % substitutions, () setattr(MySum, "as_" + connection.vendor, be_evil) qs = Book.objects.annotate( sums=MySum( F("rating") + F("pages") + F("price"), output_field=IntegerField() ) ) self.assertEqual(str(qs.query).count("MAX("), 1) b1 = qs.get(pk=self.b4.pk) self.assertEqual(b1.sums, 2) def test_complex_values_aggregation(self): max_rating = Book.objects.values("rating").aggregate( double_max_rating=Max("rating") + Max("rating") ) self.assertEqual(max_rating["double_max_rating"], 5 * 2) max_books_per_rating = ( Book.objects.values("rating") .annotate(books_per_rating=Count("id") + 5) .aggregate(Max("books_per_rating")) ) self.assertEqual(max_books_per_rating, {"books_per_rating__max": 3 + 5}) def test_expression_on_aggregation(self): qs = ( Publisher.objects.annotate( price_or_median=Greatest( Avg("book__rating", output_field=DecimalField()), Avg("book__price") ) ) .filter(price_or_median__gte=F("num_awards")) .order_by("num_awards") ) self.assertQuerysetEqual(qs, [1, 3, 7, 9], lambda v: v.num_awards) qs2 = ( Publisher.objects.annotate( rating_or_num_awards=Greatest( Avg("book__rating"), F("num_awards"), output_field=FloatField() ) ) .filter(rating_or_num_awards__gt=F("num_awards")) .order_by("num_awards") ) self.assertQuerysetEqual(qs2, [1, 3], lambda v: v.num_awards) def test_arguments_must_be_expressions(self): msg = "QuerySet.aggregate() received non-expression(s): %s." with self.assertRaisesMessage(TypeError, msg % FloatField()): Book.objects.aggregate(FloatField()) with self.assertRaisesMessage(TypeError, msg % True): Book.objects.aggregate(is_book=True) with self.assertRaisesMessage( TypeError, msg % ", ".join([str(FloatField()), "True"]) ): Book.objects.aggregate(FloatField(), Avg("price"), is_book=True) def test_aggregation_subquery_annotation(self): """Subquery annotations are excluded from the GROUP BY if they are not explicitly grouped against.""" latest_book_pubdate_qs = ( Book.objects.filter(publisher=OuterRef("pk")) .order_by("-pubdate") .values("pubdate")[:1] ) publisher_qs = Publisher.objects.annotate( latest_book_pubdate=Subquery(latest_book_pubdate_qs), ).annotate(count=Count("book")) with self.assertNumQueries(1) as ctx: list(publisher_qs) self.assertEqual(ctx[0]["sql"].count("SELECT"), 2) # The GROUP BY should not be by alias either. self.assertEqual(ctx[0]["sql"].lower().count("latest_book_pubdate"), 1) def test_aggregation_subquery_annotation_exists(self): latest_book_pubdate_qs = ( Book.objects.filter(publisher=OuterRef("pk")) .order_by("-pubdate") .values("pubdate")[:1] ) publisher_qs = Publisher.objects.annotate( latest_book_pubdate=Subquery(latest_book_pubdate_qs), count=Count("book"), ) self.assertTrue(publisher_qs.exists()) def test_aggregation_exists_annotation(self): published_books = Book.objects.filter(publisher=OuterRef("pk")) publisher_qs = Publisher.objects.annotate( published_book=Exists(published_books), count=Count("book"), ).values_list("name", flat=True) self.assertCountEqual( list(publisher_qs), [ "Apress", "Morgan Kaufmann", "Jonno's House of Books", "Prentice Hall", "Sams", ], ) def test_aggregation_subquery_annotation_values(self): """ Subquery annotations and external aliases are excluded from the GROUP BY if they are not selected. """ books_qs = ( Book.objects.annotate( first_author_the_same_age=Subquery( Author.objects.filter( age=OuterRef("contact__friends__age"), ) .order_by("age") .values("id")[:1], ) ) .filter( publisher=self.p1, first_author_the_same_age__isnull=False, ) .annotate( min_age=Min("contact__friends__age"), ) .values("name", "min_age") .order_by("name") ) self.assertEqual( list(books_qs), [ {"name": "Practical Django Projects", "min_age": 34}, { "name": ( "The Definitive Guide to Django: Web Development Done Right" ), "min_age": 29, }, ], ) def test_aggregation_subquery_annotation_values_collision(self): books_rating_qs = Book.objects.filter( publisher=OuterRef("pk"), price=Decimal("29.69"), ).values("rating") publisher_qs = ( Publisher.objects.filter( book__contact__age__gt=20, name=self.p1.name, ) .annotate( rating=Subquery(books_rating_qs), contacts_count=Count("book__contact"), ) .values("rating") .annotate(total_count=Count("rating")) ) self.assertEqual( list(publisher_qs), [ {"rating": 4.0, "total_count": 2}, ], ) @skipUnlessDBFeature("supports_subqueries_in_group_by") def test_aggregation_subquery_annotation_multivalued(self): """ Subquery annotations must be included in the GROUP BY if they use potentially multivalued relations (contain the LOOKUP_SEP). """ subquery_qs = Author.objects.filter( pk=OuterRef("pk"), book__name=OuterRef("book__name"), ).values("pk") author_qs = Author.objects.annotate( subquery_id=Subquery(subquery_qs), ).annotate(count=Count("book")) self.assertEqual(author_qs.count(), Author.objects.count()) def test_aggregation_order_by_not_selected_annotation_values(self): result_asc = [ self.b4.pk, self.b3.pk, self.b1.pk, self.b2.pk, self.b5.pk, self.b6.pk, ] result_desc = result_asc[::-1] tests = [ ("min_related_age", result_asc), ("-min_related_age", result_desc), (F("min_related_age"), result_asc), (F("min_related_age").asc(), result_asc), (F("min_related_age").desc(), result_desc), ] for ordering, expected_result in tests: with self.subTest(ordering=ordering): books_qs = ( Book.objects.annotate( min_age=Min("authors__age"), ) .annotate( min_related_age=Coalesce("min_age", "contact__age"), ) .order_by(ordering) .values_list("pk", flat=True) ) self.assertEqual(list(books_qs), expected_result) @skipUnlessDBFeature("supports_subqueries_in_group_by") def test_group_by_subquery_annotation(self): """ Subquery annotations are included in the GROUP BY if they are grouped against. """ long_books_count_qs = ( Book.objects.filter( publisher=OuterRef("pk"), pages__gt=400, ) .values("publisher") .annotate(count=Count("pk")) .values("count") ) groups = [ Subquery(long_books_count_qs), long_books_count_qs, long_books_count_qs.query, ] for group in groups: with self.subTest(group=group.__class__.__name__): long_books_count_breakdown = Publisher.objects.values_list( group, ).annotate(total=Count("*")) self.assertEqual(dict(long_books_count_breakdown), {None: 1, 1: 4}) @skipUnlessDBFeature("supports_subqueries_in_group_by") def test_group_by_exists_annotation(self): """ Exists annotations are included in the GROUP BY if they are grouped against. """ long_books_qs = Book.objects.filter( publisher=OuterRef("pk"), pages__gt=800, ) has_long_books_breakdown = Publisher.objects.values_list( Exists(long_books_qs), ).annotate(total=Count("*")) self.assertEqual(dict(has_long_books_breakdown), {True: 2, False: 3}) @skipUnlessDBFeature("supports_subqueries_in_group_by") def test_aggregation_subquery_annotation_related_field(self): publisher = Publisher.objects.create(name=self.a9.name, num_awards=2) book = Book.objects.create( isbn="159059999", name="Test book.", pages=819, rating=2.5, price=Decimal("14.44"), contact=self.a9, publisher=publisher, pubdate=datetime.date(2019, 12, 6), ) book.authors.add(self.a5, self.a6, self.a7) books_qs = ( Book.objects.annotate( contact_publisher=Subquery( Publisher.objects.filter( pk=OuterRef("publisher"), name=OuterRef("contact__name"), ).values("name")[:1], ) ) .filter( contact_publisher__isnull=False, ) .annotate(count=Count("authors")) ) self.assertSequenceEqual(books_qs, [book]) # FIXME: GROUP BY doesn't need to include a subquery with # non-multivalued JOINs, see Col.possibly_multivalued (refs #31150): # with self.assertNumQueries(1) as ctx: # self.assertSequenceEqual(books_qs, [book]) # self.assertEqual(ctx[0]['sql'].count('SELECT'), 2) @skipUnlessDBFeature("supports_subqueries_in_group_by") def test_aggregation_nested_subquery_outerref(self): publisher_with_same_name = Publisher.objects.filter( id__in=Subquery( Publisher.objects.filter( name=OuterRef(OuterRef("publisher__name")), ).values("id"), ), ).values(publisher_count=Count("id"))[:1] books_breakdown = Book.objects.annotate( publisher_count=Subquery(publisher_with_same_name), authors_count=Count("authors"), ).values_list("publisher_count", flat=True) self.assertSequenceEqual(books_breakdown, [1] * 6) def test_filter_in_subquery_or_aggregation(self): """ Filtering against an aggregate requires the usage of the HAVING clause. If such a filter is unionized to a non-aggregate one the latter will also need to be moved to the HAVING clause and have its grouping columns used in the GROUP BY. When this is done with a subquery the specialized logic in charge of using outer reference columns to group should be used instead of the subquery itself as the latter might return multiple rows. """ authors = Author.objects.annotate( Count("book"), ).filter(Q(book__count__gt=0) | Q(pk__in=Book.objects.values("authors"))) self.assertQuerysetEqual(authors, Author.objects.all(), ordered=False) def test_aggregation_random_ordering(self): """Random() is not included in the GROUP BY when used for ordering.""" authors = Author.objects.annotate(contact_count=Count("book")).order_by("?") self.assertQuerysetEqual( authors, [ ("Adrian Holovaty", 1), ("Jacob Kaplan-Moss", 1), ("Brad Dayley", 1), ("James Bennett", 1), ("Jeffrey Forcier", 1), ("Paul Bissex", 1), ("Wesley J. Chun", 1), ("Stuart Russell", 1), ("Peter Norvig", 2), ], lambda a: (a.name, a.contact_count), ordered=False, ) def test_empty_result_optimization(self): with self.assertNumQueries(0): self.assertEqual( Publisher.objects.none().aggregate( sum_awards=Sum("num_awards"), books_count=Count("book"), ), { "sum_awards": None, "books_count": 0, }, ) # Expression without empty_result_set_value forces queries to be # executed even if they would return an empty result set. raw_books_count = Func("book", function="COUNT") raw_books_count.contains_aggregate = True with self.assertNumQueries(1): self.assertEqual( Publisher.objects.none().aggregate( sum_awards=Sum("num_awards"), books_count=raw_books_count, ), { "sum_awards": None, "books_count": 0, }, ) def test_coalesced_empty_result_set(self): with self.assertNumQueries(0): self.assertEqual( Publisher.objects.none().aggregate( sum_awards=Coalesce(Sum("num_awards"), 0), )["sum_awards"], 0, ) # Multiple expressions. with self.assertNumQueries(0): self.assertEqual( Publisher.objects.none().aggregate( sum_awards=Coalesce(Sum("num_awards"), None, 0), )["sum_awards"], 0, ) # Nested coalesce. with self.assertNumQueries(0): self.assertEqual( Publisher.objects.none().aggregate( sum_awards=Coalesce(Coalesce(Sum("num_awards"), None), 0), )["sum_awards"], 0, ) # Expression coalesce. with self.assertNumQueries(1): self.assertIsInstance( Store.objects.none().aggregate( latest_opening=Coalesce( Max("original_opening"), RawSQL("CURRENT_TIMESTAMP", []), ), )["latest_opening"], datetime.datetime, ) def test_aggregation_default_unsupported_by_count(self): msg = "Count does not allow default." with self.assertRaisesMessage(TypeError, msg): Count("age", default=0) def test_aggregation_default_unset(self): for Aggregate in [Avg, Max, Min, StdDev, Sum, Variance]: with self.subTest(Aggregate): result = Author.objects.filter(age__gt=100).aggregate( value=Aggregate("age"), ) self.assertIsNone(result["value"]) def test_aggregation_default_zero(self): for Aggregate in [Avg, Max, Min, StdDev, Sum, Variance]: with self.subTest(Aggregate): result = Author.objects.filter(age__gt=100).aggregate( value=Aggregate("age", default=0), ) self.assertEqual(result["value"], 0) def test_aggregation_default_integer(self): for Aggregate in [Avg, Max, Min, StdDev, Sum, Variance]: with self.subTest(Aggregate): result = Author.objects.filter(age__gt=100).aggregate( value=Aggregate("age", default=21), ) self.assertEqual(result["value"], 21) def test_aggregation_default_expression(self): for Aggregate in [Avg, Max, Min, StdDev, Sum, Variance]: with self.subTest(Aggregate): result = Author.objects.filter(age__gt=100).aggregate( value=Aggregate("age", default=Value(5) * Value(7)), ) self.assertEqual(result["value"], 35) def test_aggregation_default_group_by(self): qs = ( Publisher.objects.values("name") .annotate( books=Count("book"), pages=Sum("book__pages", default=0), ) .filter(books=0) ) self.assertSequenceEqual( qs, [{"name": "Jonno's House of Books", "books": 0, "pages": 0}], ) def test_aggregation_default_compound_expression(self): # Scale rating to a percentage; default to 50% if no books published. formula = Avg("book__rating", default=2.5) * 20.0 queryset = Publisher.objects.annotate(rating=formula).order_by("name") self.assertSequenceEqual( queryset.values("name", "rating"), [ {"name": "Apress", "rating": 85.0}, {"name": "Jonno's House of Books", "rating": 50.0}, {"name": "Morgan Kaufmann", "rating": 100.0}, {"name": "Prentice Hall", "rating": 80.0}, {"name": "Sams", "rating": 60.0}, ], ) def test_aggregation_default_using_time_from_python(self): expr = Min( "store__friday_night_closing", filter=~Q(store__name="Amazon.com"), default=datetime.time(17), ) if connection.vendor == "mysql": # Workaround for #30224 for MySQL 8.0+ & MariaDB. expr.default = Cast(expr.default, TimeField()) queryset = Book.objects.annotate(oldest_store_opening=expr).order_by("isbn") self.assertSequenceEqual( queryset.values("isbn", "oldest_store_opening"), [ {"isbn": "013235613", "oldest_store_opening": datetime.time(21, 30)}, { "isbn": "013790395", "oldest_store_opening": datetime.time(23, 59, 59), }, {"isbn": "067232959", "oldest_store_opening": datetime.time(17)}, {"isbn": "155860191", "oldest_store_opening": datetime.time(21, 30)}, { "isbn": "159059725", "oldest_store_opening": datetime.time(23, 59, 59), }, {"isbn": "159059996", "oldest_store_opening": datetime.time(21, 30)}, ], ) def test_aggregation_default_using_time_from_database(self): now = timezone.now().astimezone(timezone.utc) expr = Min( "store__friday_night_closing", filter=~Q(store__name="Amazon.com"), default=TruncHour(NowUTC(), output_field=TimeField()), ) queryset = Book.objects.annotate(oldest_store_opening=expr).order_by("isbn") self.assertSequenceEqual( queryset.values("isbn", "oldest_store_opening"), [ {"isbn": "013235613", "oldest_store_opening": datetime.time(21, 30)}, { "isbn": "013790395", "oldest_store_opening": datetime.time(23, 59, 59), }, {"isbn": "067232959", "oldest_store_opening": datetime.time(now.hour)}, {"isbn": "155860191", "oldest_store_opening": datetime.time(21, 30)}, { "isbn": "159059725", "oldest_store_opening": datetime.time(23, 59, 59), }, {"isbn": "159059996", "oldest_store_opening": datetime.time(21, 30)}, ], ) def test_aggregation_default_using_date_from_python(self): expr = Min("book__pubdate", default=datetime.date(1970, 1, 1)) if connection.vendor == "mysql": # Workaround for #30224 for MySQL 5.7+ & MariaDB. expr.default = Cast(expr.default, DateField()) queryset = Publisher.objects.annotate(earliest_pubdate=expr).order_by("name") self.assertSequenceEqual( queryset.values("name", "earliest_pubdate"), [ {"name": "Apress", "earliest_pubdate": datetime.date(2007, 12, 6)}, { "name": "Jonno's House of Books", "earliest_pubdate": datetime.date(1970, 1, 1), }, { "name": "Morgan Kaufmann", "earliest_pubdate": datetime.date(1991, 10, 15), }, { "name": "Prentice Hall", "earliest_pubdate": datetime.date(1995, 1, 15), }, {"name": "Sams", "earliest_pubdate": datetime.date(2008, 3, 3)}, ], ) def test_aggregation_default_using_date_from_database(self): now = timezone.now().astimezone(timezone.utc) expr = Min("book__pubdate", default=TruncDate(NowUTC())) queryset = Publisher.objects.annotate(earliest_pubdate=expr).order_by("name") self.assertSequenceEqual( queryset.values("name", "earliest_pubdate"), [ {"name": "Apress", "earliest_pubdate": datetime.date(2007, 12, 6)}, {"name": "Jonno's House of Books", "earliest_pubdate": now.date()}, { "name": "Morgan Kaufmann", "earliest_pubdate": datetime.date(1991, 10, 15), }, { "name": "Prentice Hall", "earliest_pubdate": datetime.date(1995, 1, 15), }, {"name": "Sams", "earliest_pubdate": datetime.date(2008, 3, 3)}, ], ) def test_aggregation_default_using_datetime_from_python(self): expr = Min( "store__original_opening", filter=~Q(store__name="Amazon.com"), default=datetime.datetime(1970, 1, 1), ) if connection.vendor == "mysql": # Workaround for #30224 for MySQL 8.0+ & MariaDB. expr.default = Cast(expr.default, DateTimeField()) queryset = Book.objects.annotate(oldest_store_opening=expr).order_by("isbn") self.assertSequenceEqual( queryset.values("isbn", "oldest_store_opening"), [ { "isbn": "013235613", "oldest_store_opening": datetime.datetime(1945, 4, 25, 16, 24, 14), }, { "isbn": "013790395", "oldest_store_opening": datetime.datetime(2001, 3, 15, 11, 23, 37), }, { "isbn": "067232959", "oldest_store_opening": datetime.datetime(1970, 1, 1), }, { "isbn": "155860191", "oldest_store_opening": datetime.datetime(1945, 4, 25, 16, 24, 14), }, { "isbn": "159059725", "oldest_store_opening": datetime.datetime(2001, 3, 15, 11, 23, 37), }, { "isbn": "159059996", "oldest_store_opening": datetime.datetime(1945, 4, 25, 16, 24, 14), }, ], ) def test_aggregation_default_using_datetime_from_database(self): now = timezone.now().astimezone(timezone.utc) expr = Min( "store__original_opening", filter=~Q(store__name="Amazon.com"), default=TruncHour(NowUTC(), output_field=DateTimeField()), ) queryset = Book.objects.annotate(oldest_store_opening=expr).order_by("isbn") self.assertSequenceEqual( queryset.values("isbn", "oldest_store_opening"), [ { "isbn": "013235613", "oldest_store_opening": datetime.datetime(1945, 4, 25, 16, 24, 14), }, { "isbn": "013790395", "oldest_store_opening": datetime.datetime(2001, 3, 15, 11, 23, 37), }, { "isbn": "067232959", "oldest_store_opening": now.replace( minute=0, second=0, microsecond=0, tzinfo=None ), }, { "isbn": "155860191", "oldest_store_opening": datetime.datetime(1945, 4, 25, 16, 24, 14), }, { "isbn": "159059725", "oldest_store_opening": datetime.datetime(2001, 3, 15, 11, 23, 37), }, { "isbn": "159059996", "oldest_store_opening": datetime.datetime(1945, 4, 25, 16, 24, 14), }, ], ) def test_aggregation_default_using_duration_from_python(self): result = Publisher.objects.filter(num_awards__gt=3).aggregate( value=Sum("duration", default=datetime.timedelta(0)), ) self.assertEqual(result["value"], datetime.timedelta(0)) def test_aggregation_default_using_duration_from_database(self): result = Publisher.objects.filter(num_awards__gt=3).aggregate( value=Sum("duration", default=Now() - Now()), ) self.assertEqual(result["value"], datetime.timedelta(0)) def test_aggregation_default_using_decimal_from_python(self): result = Book.objects.filter(rating__lt=3.0).aggregate( value=Sum("price", default=Decimal("0.00")), ) self.assertEqual(result["value"], Decimal("0.00")) def test_aggregation_default_using_decimal_from_database(self): result = Book.objects.filter(rating__lt=3.0).aggregate( value=Sum("price", default=Pi()), ) self.assertAlmostEqual(result["value"], Decimal.from_float(math.pi), places=6) def test_aggregation_default_passed_another_aggregate(self): result = Book.objects.aggregate( value=Sum("price", filter=Q(rating__lt=3.0), default=Avg("pages") / 10.0), ) self.assertAlmostEqual(result["value"], Decimal("61.72"), places=2) def test_aggregation_default_after_annotation(self): result = Publisher.objects.annotate( double_num_awards=F("num_awards") * 2, ).aggregate(value=Sum("double_num_awards", default=0)) self.assertEqual(result["value"], 40) def test_aggregation_default_not_in_aggregate(self): result = Publisher.objects.annotate( avg_rating=Avg("book__rating", default=2.5), ).aggregate(Sum("num_awards")) self.assertEqual(result["num_awards__sum"], 20) def test_exists_none_with_aggregate(self): qs = Book.objects.annotate( count=Count("id"), exists=Exists(Author.objects.none()), ) self.assertEqual(len(qs), 6) def test_exists_extra_where_with_aggregate(self): qs = Book.objects.annotate( count=Count("id"), exists=Exists(Author.objects.extra(where=["1=0"])), ) self.assertEqual(len(qs), 6)