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- 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.all().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.all().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.all().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.all().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')
- long_books_count_breakdown = Publisher.objects.values_list(
- Subquery(long_books_count_qs, IntegerField()),
- ).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_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_exists_none_with_aggregate(self):
- qs = Book.objects.all().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.all().annotate(
- count=Count('id'),
- exists=Exists(Author.objects.extra(where=['1=0'])),
- )
- self.assertEqual(len(qs), 6)
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