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django/tests/aggregation/tests.py

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from __future__ import unicode_literals
import datetime
from decimal import Decimal
from django.db import connection
from django.db.models import Avg, Sum, Count, Max, Min
from django.test import TestCase, Approximate
from django.test.utils import CaptureQueriesContext
from .models import Author, Publisher, Book, Store
class BaseAggregateTestCase(TestCase):
fixtures = ["aggregation.json"]
def test_empty_aggregate(self):
self.assertEqual(Author.objects.all().aggregate(), {})
def test_single_aggregate(self):
vals = Author.objects.aggregate(Avg("age"))
self.assertEqual(vals, {"age__avg": Approximate(37.4, places=1)})
def test_multiple_aggregates(self):
vals = Author.objects.aggregate(Sum("age"), Avg("age"))
self.assertEqual(vals, {"age__sum": 337, "age__avg": Approximate(37.4, places=1)})
def test_filter_aggregate(self):
vals = Author.objects.filter(age__gt=29).aggregate(Sum("age"))
self.assertEqual(len(vals), 1)
self.assertEqual(vals["age__sum"], 254)
def test_related_aggregate(self):
vals = Author.objects.aggregate(Avg("friends__age"))
self.assertEqual(len(vals), 1)
self.assertAlmostEqual(vals["friends__age__avg"], 34.07, places=2)
vals = Book.objects.filter(rating__lt=4.5).aggregate(Avg("authors__age"))
self.assertEqual(len(vals), 1)
self.assertAlmostEqual(vals["authors__age__avg"], 38.2857, places=2)
vals = Author.objects.all().filter(name__contains="a").aggregate(Avg("book__rating"))
self.assertEqual(len(vals), 1)
self.assertEqual(vals["book__rating__avg"], 4.0)
vals = Book.objects.aggregate(Sum("publisher__num_awards"))
self.assertEqual(len(vals), 1)
self.assertEqual(vals["publisher__num_awards__sum"], 30)
vals = Publisher.objects.aggregate(Sum("book__price"))
self.assertEqual(len(vals), 1)
self.assertEqual(vals["book__price__sum"], Decimal("270.27"))
def test_aggregate_multi_join(self):
vals = Store.objects.aggregate(Max("books__authors__age"))
self.assertEqual(len(vals), 1)
self.assertEqual(vals["books__authors__age__max"], 57)
vals = Author.objects.aggregate(Min("book__publisher__num_awards"))
self.assertEqual(len(vals), 1)
self.assertEqual(vals["book__publisher__num_awards__min"], 1)
def test_aggregate_alias(self):
vals = Store.objects.filter(name="Amazon.com").aggregate(amazon_mean=Avg("books__rating"))
self.assertEqual(len(vals), 1)
self.assertAlmostEqual(vals["amazon_mean"], 4.08, places=2)
def test_annotate_basic(self):
self.assertQuerysetEqual(
Book.objects.annotate().order_by('pk'), [
"The Definitive Guide to Django: Web Development Done Right",
"Sams Teach Yourself Django in 24 Hours",
"Practical Django Projects",
"Python Web Development with Django",
"Artificial Intelligence: A Modern Approach",
"Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp"
],
lambda b: b.name
)
books = Book.objects.annotate(mean_age=Avg("authors__age"))
b = books.get(pk=1)
self.assertEqual(
b.name,
'The Definitive Guide to Django: Web Development Done Right'
)
self.assertEqual(b.mean_age, 34.5)
def test_annotate_m2m(self):
books = Book.objects.filter(rating__lt=4.5).annotate(Avg("authors__age")).order_by("name")
self.assertQuerysetEqual(
books, [
('Artificial Intelligence: A Modern Approach', 51.5),
('Practical Django Projects', 29.0),
('Python Web Development with Django', Approximate(30.3, places=1)),
('Sams Teach Yourself Django in 24 Hours', 45.0)
],
lambda b: (b.name, b.authors__age__avg),
)
books = Book.objects.annotate(num_authors=Count("authors")).order_by("name")
self.assertQuerysetEqual(
books, [
('Artificial Intelligence: A Modern Approach', 2),
('Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp', 1),
('Practical Django Projects', 1),
('Python Web Development with Django', 3),
('Sams Teach Yourself Django in 24 Hours', 1),
('The Definitive Guide to Django: Web Development Done Right', 2)
],
lambda b: (b.name, b.num_authors)
)
def test_backwards_m2m_annotate(self):
authors = Author.objects.filter(name__contains="a").annotate(Avg("book__rating")).order_by("name")
self.assertQuerysetEqual(
authors, [
('Adrian Holovaty', 4.5),
('Brad Dayley', 3.0),
('Jacob Kaplan-Moss', 4.5),
('James Bennett', 4.0),
('Paul Bissex', 4.0),
('Stuart Russell', 4.0)
],
lambda a: (a.name, a.book__rating__avg)
)
authors = Author.objects.annotate(num_books=Count("book")).order_by("name")
self.assertQuerysetEqual(
authors, [
('Adrian Holovaty', 1),
('Brad Dayley', 1),
('Jacob Kaplan-Moss', 1),
('James Bennett', 1),
('Jeffrey Forcier', 1),
('Paul Bissex', 1),
('Peter Norvig', 2),
('Stuart Russell', 1),
('Wesley J. Chun', 1)
],
lambda a: (a.name, a.num_books)
)
def test_reverse_fkey_annotate(self):
books = Book.objects.annotate(Sum("publisher__num_awards")).order_by("name")
self.assertQuerysetEqual(
books, [
('Artificial Intelligence: A Modern Approach', 7),
('Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp', 9),
('Practical Django Projects', 3),
('Python Web Development with Django', 7),
('Sams Teach Yourself Django in 24 Hours', 1),
('The Definitive Guide to Django: Web Development Done Right', 3)
],
lambda b: (b.name, b.publisher__num_awards__sum)
)
publishers = Publisher.objects.annotate(Sum("book__price")).order_by("name")
self.assertQuerysetEqual(
publishers, [
('Apress', Decimal("59.69")),
("Jonno's House of Books", None),
('Morgan Kaufmann', Decimal("75.00")),
('Prentice Hall', Decimal("112.49")),
('Sams', Decimal("23.09"))
],
lambda p: (p.name, p.book__price__sum)
)
def test_annotate_values(self):
books = list(Book.objects.filter(pk=1).annotate(mean_age=Avg("authors__age")).values())
self.assertEqual(
books, [
{
"contact_id": 1,
"id": 1,
"isbn": "159059725",
"mean_age": 34.5,
"name": "The Definitive Guide to Django: Web Development Done Right",
"pages": 447,
"price": Approximate(Decimal("30")),
"pubdate": datetime.date(2007, 12, 6),
"publisher_id": 1,
"rating": 4.5,
}
]
)
books = Book.objects.filter(pk=1).annotate(mean_age=Avg('authors__age')).values('pk', 'isbn', 'mean_age')
self.assertEqual(
list(books), [
{
"pk": 1,
"isbn": "159059725",
"mean_age": 34.5,
}
]
)
books = Book.objects.filter(pk=1).annotate(mean_age=Avg("authors__age")).values("name")
self.assertEqual(
list(books), [
{
"name": "The Definitive Guide to Django: Web Development Done Right"
}
]
)
books = Book.objects.filter(pk=1).values().annotate(mean_age=Avg('authors__age'))
self.assertEqual(
list(books), [
{
"contact_id": 1,
"id": 1,
"isbn": "159059725",
"mean_age": 34.5,
"name": "The Definitive Guide to Django: Web Development Done Right",
"pages": 447,
"price": Approximate(Decimal("30")),
"pubdate": datetime.date(2007, 12, 6),
"publisher_id": 1,
"rating": 4.5,
}
]
)
books = Book.objects.values("rating").annotate(n_authors=Count("authors__id"), mean_age=Avg("authors__age")).order_by("rating")
self.assertEqual(
list(books), [
{
"rating": 3.0,
"n_authors": 1,
"mean_age": 45.0,
},
{
"rating": 4.0,
"n_authors": 6,
"mean_age": Approximate(37.16, places=1)
},
{
"rating": 4.5,
"n_authors": 2,
"mean_age": 34.5,
},
{
"rating": 5.0,
"n_authors": 1,
"mean_age": 57.0,
}
]
)
authors = Author.objects.annotate(Avg("friends__age")).order_by("name")
self.assertEqual(len(authors), 9)
self.assertQuerysetEqual(
authors, [
('Adrian Holovaty', 32.0),
('Brad Dayley', None),
('Jacob Kaplan-Moss', 29.5),
('James Bennett', 34.0),
('Jeffrey Forcier', 27.0),
('Paul Bissex', 31.0),
('Peter Norvig', 46.0),
('Stuart Russell', 57.0),
('Wesley J. Chun', Approximate(33.66, places=1))
],
lambda a: (a.name, a.friends__age__avg)
)
def test_count(self):
vals = Book.objects.aggregate(Count("rating"))
self.assertEqual(vals, {"rating__count": 6})
vals = Book.objects.aggregate(Count("rating", distinct=True))
self.assertEqual(vals, {"rating__count": 4})
def test_fkey_aggregate(self):
explicit = list(Author.objects.annotate(Count('book__id')))
implicit = list(Author.objects.annotate(Count('book')))
self.assertEqual(explicit, implicit)
def test_annotate_ordering(self):
books = Book.objects.values('rating').annotate(oldest=Max('authors__age')).order_by('oldest', 'rating')
self.assertEqual(
list(books), [
{
"rating": 4.5,
"oldest": 35,
},
{
"rating": 3.0,
"oldest": 45
},
{
"rating": 4.0,
"oldest": 57,
},
{
"rating": 5.0,
"oldest": 57,
}
]
)
books = Book.objects.values("rating").annotate(oldest=Max("authors__age")).order_by("-oldest", "-rating")
self.assertEqual(
list(books), [
{
"rating": 5.0,
"oldest": 57,
},
{
"rating": 4.0,
"oldest": 57,
},
{
"rating": 3.0,
"oldest": 45,
},
{
"rating": 4.5,
"oldest": 35,
}
]
)
def test_aggregate_annotation(self):
vals = Book.objects.annotate(num_authors=Count("authors__id")).aggregate(Avg("num_authors"))
self.assertEqual(vals, {"num_authors__avg": Approximate(1.66, places=1)})
def test_filtering(self):
p = Publisher.objects.create(name='Expensive Publisher', num_awards=0)
Book.objects.create(
name='ExpensiveBook1',
pages=1,
isbn='111',
rating=3.5,
price=Decimal("1000"),
publisher=p,
contact_id=1,
pubdate=datetime.date(2008,12,1)
)
Book.objects.create(
name='ExpensiveBook2',
pages=1,
isbn='222',
rating=4.0,
price=Decimal("1000"),
publisher=p,
contact_id=1,
pubdate=datetime.date(2008,12,2)
)
Book.objects.create(
name='ExpensiveBook3',
pages=1,
isbn='333',
rating=4.5,
price=Decimal("35"),
publisher=p,
contact_id=1,
pubdate=datetime.date(2008,12,3)
)
publishers = Publisher.objects.annotate(num_books=Count("book__id")).filter(num_books__gt=1).order_by("pk")
self.assertQuerysetEqual(
publishers, [
"Apress",
"Prentice Hall",
"Expensive Publisher",
],
lambda p: p.name,
)
publishers = Publisher.objects.filter(book__price__lt=Decimal("40.0")).order_by("pk")
self.assertQuerysetEqual(
publishers, [
"Apress",
"Apress",
"Sams",
"Prentice Hall",
"Expensive Publisher",
],
lambda p: p.name
)
publishers = Publisher.objects.annotate(num_books=Count("book__id")).filter(num_books__gt=1, book__price__lt=Decimal("40.0")).order_by("pk")
self.assertQuerysetEqual(
publishers, [
"Apress",
"Prentice Hall",
"Expensive Publisher",
],
lambda p: p.name,
)
publishers = Publisher.objects.filter(book__price__lt=Decimal("40.0")).annotate(num_books=Count("book__id")).filter(num_books__gt=1).order_by("pk")
self.assertQuerysetEqual(
publishers, [
"Apress",
],
lambda p: p.name
)
publishers = Publisher.objects.annotate(num_books=Count("book")).filter(num_books__range=[1, 3]).order_by("pk")
self.assertQuerysetEqual(
publishers, [
"Apress",
"Sams",
"Prentice Hall",
"Morgan Kaufmann",
"Expensive Publisher",
],
lambda p: p.name
)
publishers = Publisher.objects.annotate(num_books=Count("book")).filter(num_books__range=[1, 2]).order_by("pk")
self.assertQuerysetEqual(
publishers, [
"Apress",
"Sams",
"Prentice Hall",
"Morgan Kaufmann",
],
lambda p: p.name
)
publishers = Publisher.objects.annotate(num_books=Count("book")).filter(num_books__in=[1, 3]).order_by("pk")
self.assertQuerysetEqual(
publishers, [
"Sams",
"Morgan Kaufmann",
"Expensive Publisher",
],
lambda p: p.name,
)
publishers = Publisher.objects.annotate(num_books=Count("book")).filter(num_books__isnull=True)
self.assertEqual(len(publishers), 0)
def test_annotation(self):
vals = Author.objects.filter(pk=1).aggregate(Count("friends__id"))
self.assertEqual(vals, {"friends__id__count": 2})
books = Book.objects.annotate(num_authors=Count("authors__name")).filter(num_authors__ge=2).order_by("pk")
self.assertQuerysetEqual(
books, [
"The Definitive Guide to Django: Web Development Done Right",
"Artificial Intelligence: A Modern Approach",
],
lambda b: b.name
)
authors = Author.objects.annotate(num_friends=Count("friends__id", distinct=True)).filter(num_friends=0).order_by("pk")
self.assertQuerysetEqual(
authors, [
"Brad Dayley",
],
lambda a: a.name
)
publishers = Publisher.objects.annotate(num_books=Count("book__id")).filter(num_books__gt=1).order_by("pk")
self.assertQuerysetEqual(
publishers, [
"Apress",
"Prentice Hall",
],
lambda p: p.name
)
publishers = Publisher.objects.filter(book__price__lt=Decimal("40.0")).annotate(num_books=Count("book__id")).filter(num_books__gt=1)
self.assertQuerysetEqual(
publishers, [
"Apress",
],
lambda p: p.name
)
books = Book.objects.annotate(num_authors=Count("authors__id")).filter(authors__name__contains="Norvig", num_authors__gt=1)
self.assertQuerysetEqual(
books, [
"Artificial Intelligence: A Modern Approach",
],
lambda b: b.name
)
def test_more_aggregation(self):
a = Author.objects.get(name__contains='Norvig')
b = Book.objects.get(name__contains='Done Right')
b.authors.add(a)
b.save()
vals = Book.objects.annotate(num_authors=Count("authors__id")).filter(authors__name__contains="Norvig", num_authors__gt=1).aggregate(Avg("rating"))
self.assertEqual(vals, {"rating__avg": 4.25})
def test_even_more_aggregate(self):
publishers = Publisher.objects.annotate(earliest_book=Min("book__pubdate")).exclude(earliest_book=None).order_by("earliest_book").values()
self.assertEqual(
list(publishers), [
{
'earliest_book': datetime.date(1991, 10, 15),
'num_awards': 9,
'id': 4,
'name': 'Morgan Kaufmann'
},
{
'earliest_book': datetime.date(1995, 1, 15),
'num_awards': 7,
'id': 3,
'name': 'Prentice Hall'
},
{
'earliest_book': datetime.date(2007, 12, 6),
'num_awards': 3,
'id': 1,
'name': 'Apress'
},
{
'earliest_book': datetime.date(2008, 3, 3),
'num_awards': 1,
'id': 2,
'name': 'Sams'
}
]
)
vals = Store.objects.aggregate(Max("friday_night_closing"), Min("original_opening"))
self.assertEqual(
vals,
{
"friday_night_closing__max": datetime.time(23, 59, 59),
"original_opening__min": datetime.datetime(1945, 4, 25, 16, 24, 14),
}
)
def test_annotate_values_list(self):
books = Book.objects.filter(pk=1).annotate(mean_age=Avg("authors__age")).values_list("pk", "isbn", "mean_age")
self.assertEqual(
list(books), [
(1, "159059725", 34.5),
]
)
books = Book.objects.filter(pk=1).annotate(mean_age=Avg("authors__age")).values_list("isbn")
self.assertEqual(
list(books), [
('159059725',)
]
)
books = Book.objects.filter(pk=1).annotate(mean_age=Avg("authors__age")).values_list("mean_age")
self.assertEqual(
list(books), [
(34.5,)
]
)
books = Book.objects.filter(pk=1).annotate(mean_age=Avg("authors__age")).values_list("mean_age", flat=True)
self.assertEqual(list(books), [34.5])
books = Book.objects.values_list("price").annotate(count=Count("price")).order_by("-count", "price")
self.assertEqual(
list(books), [
(Decimal("29.69"), 2),
(Decimal('23.09'), 1),
(Decimal('30'), 1),
(Decimal('75'), 1),
(Decimal('82.8'), 1),
]
)
def test_dates_with_aggregation(self):
"""
Test that .dates() returns a distinct set of dates when applied to a
QuerySet with aggregation.
Refs #18056. Previously, .dates() would return distinct (date_kind,
aggregation) sets, in this case (year, num_authors), so 2008 would be
returned twice because there are books from 2008 with a different
number of authors.
"""
dates = Book.objects.annotate(num_authors=Count("authors")).dates('pubdate', 'year')
self.assertQuerysetEqual(
dates, [
Fixed #17260 -- Added time zone aware aggregation and lookups. Thanks Carl Meyer for the review. Squashed commit of the following: commit 4f290bdb60b7d8534abf4ca901bd0844612dcbda Author: Aymeric Augustin <aymeric.augustin@m4x.org> Date: Wed Feb 13 21:21:30 2013 +0100 Used '0:00' instead of 'UTC' which doesn't always exist in Oracle. Thanks Ian Kelly for the suggestion. commit 01b6366f3ce67d57a58ca8f25e5be77911748638 Author: Aymeric Augustin <aymeric.augustin@m4x.org> Date: Wed Feb 13 13:38:43 2013 +0100 Made tzname a parameter of datetime_extract/trunc_sql. This is required to work around a bug in Oracle. commit 924a144ef8a80ba4daeeafbe9efaa826566e9d02 Author: Aymeric Augustin <aymeric.augustin@m4x.org> Date: Wed Feb 13 14:47:44 2013 +0100 Added support for parameters in SELECT clauses. commit b4351d2890cd1090d3ff2d203fe148937324c935 Author: Aymeric Augustin <aymeric.augustin@m4x.org> Date: Mon Feb 11 22:30:22 2013 +0100 Documented backwards incompatibilities in the two previous commits. commit 91ef84713c81bd455f559dacf790e586d08cacb9 Author: Aymeric Augustin <aymeric.augustin@m4x.org> Date: Mon Feb 11 09:42:31 2013 +0100 Used QuerySet.datetimes for the admin's date_hierarchy. commit 0d0de288a5210fa106cd4350961eb2006535cc5c Author: Aymeric Augustin <aymeric.augustin@m4x.org> Date: Mon Feb 11 09:29:38 2013 +0100 Used QuerySet.datetimes in date-based generic views. commit 9c0859ff7c0b00734afe7fc15609d43d83215072 Author: Aymeric Augustin <aymeric.augustin@m4x.org> Date: Sun Feb 10 21:43:25 2013 +0100 Implemented QuerySet.datetimes on Oracle. commit 68ab511a4ffbd2b811bf5da174d47e4dd90f28fc Author: Aymeric Augustin <aymeric.augustin@m4x.org> Date: Sun Feb 10 21:43:14 2013 +0100 Implemented QuerySet.datetimes on MySQL. commit 22d52681d347a8cdf568dc31ed032cbc61d049ef Author: Aymeric Augustin <aymeric.augustin@m4x.org> Date: Sun Feb 10 21:42:29 2013 +0100 Implemented QuerySet.datetimes on SQLite. commit f6800fd04c93722b45f9236976389e0b2fe436f5 Author: Aymeric Augustin <aymeric.augustin@m4x.org> Date: Sun Feb 10 21:43:03 2013 +0100 Implemented QuerySet.datetimes on PostgreSQL. commit 0c829c23f4cf4d6804cadcc93032dd4c26b8c65e Author: Aymeric Augustin <aymeric.augustin@m4x.org> Date: Sun Feb 10 21:41:08 2013 +0100 Added datetime-handling infrastructure in the ORM layers. commit 104d82a7778cf3f0f5d03dfa53709c26df45daad Author: Aymeric Augustin <aymeric.augustin@m4x.org> Date: Mon Feb 11 10:05:55 2013 +0100 Updated null_queries tests to avoid clashing with the __second lookup. commit c01bbb32358201b3ac8cb4291ef87b7612a2b8e6 Author: Aymeric Augustin <aymeric.augustin@m4x.org> Date: Sun Feb 10 23:07:41 2013 +0100 Updated tests of .dates(). Replaced .dates() by .datetimes() for DateTimeFields. Replaced dates with datetimes in the expected output for DateFields. commit 50fb7a52462fecf0127b38e7f3df322aeb287c43 Author: Aymeric Augustin <aymeric.augustin@m4x.org> Date: Sun Feb 10 21:40:09 2013 +0100 Updated and added tests for QuerySet.datetimes. commit a8451a5004c437190e264667b1e6fb8acc3c1eeb Author: Aymeric Augustin <aymeric.augustin@m4x.org> Date: Sun Feb 10 22:34:46 2013 +0100 Documented the new time lookups and updated the date lookups. commit 29413eab2bd1d5e004598900c0dadc0521bbf4d3 Author: Aymeric Augustin <aymeric.augustin@m4x.org> Date: Sun Feb 10 16:15:49 2013 +0100 Documented QuerySet.datetimes and updated QuerySet.dates.
2013-02-10 15:15:49 +00:00
"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):
"""
Check that 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):
"""
Check that 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):
"""
Check that 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)
self.assertNotIn('order by', qstr)
self.assertEqual(qstr.count(' join '), 0)