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django/tests/aggregation/tests.py
Simon Charette b7b28c7c18 Refs #31150 -- Enabled implicit GROUP BY aliases.
This ensures implicit grouping from aggregate function annotations
groups by uncollapsed selected aliases if supported.

The feature is disabled on Oracle because it doesn't support it.
2022-10-06 11:51:32 +02:00

2087 lines
75 KiB
Python

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 = (
"Cannot infer type of '+' expression involving these 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_filter_exists(self):
publishers_having_more_than_one_book_qs = (
Book.objects.values("publisher")
.annotate(cnt=Count("isbn"))
.filter(cnt__gt=1)
)
query = publishers_having_more_than_one_book_qs.query.exists()
_, _, group_by = query.get_compiler(connection=connection).pre_sql_setup()
self.assertEqual(len(group_by), 1)
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"))
)
with self.assertNumQueries(1) as ctx:
self.assertSequenceEqual(books_qs, [book])
# Outerquery SELECT, annotation SELECT, and WHERE SELECT but GROUP BY
# selected alias, if allowed.
if connection.features.allows_group_by_refs:
self.assertEqual(ctx[0]["sql"].count("SELECT"), 3)
@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_exists_multivalued_outeref(self):
self.assertCountEqual(
Publisher.objects.annotate(
books_exists=Exists(
Book.objects.filter(publisher=OuterRef("book__publisher"))
),
books_count=Count("book"),
),
Publisher.objects.all(),
)
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 & 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(datetime.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 & 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(datetime.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 & 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(datetime.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_alias_sql_injection(self):
crafted_alias = """injected_name" from "aggregation_author"; --"""
msg = (
"Column aliases cannot contain whitespace characters, quotation marks, "
"semicolons, or SQL comments."
)
with self.assertRaisesMessage(ValueError, msg):
Author.objects.aggregate(**{crafted_alias: Avg("age")})
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)