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1410 lines
54 KiB
Python
1410 lines
54 KiB
Python
from __future__ import unicode_literals
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import datetime
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import pickle
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from decimal import Decimal
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from operator import attrgetter
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from django.contrib.contenttypes.models import ContentType
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from django.core.exceptions import FieldError
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from django.db import connection
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from django.db.models import (
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Avg, Count, F, Max, Q, StdDev, Sum, Value, Variance,
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)
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from django.test import TestCase, skipUnlessAnyDBFeature, skipUnlessDBFeature
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from django.test.utils import Approximate
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from django.utils import six
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from .models import (
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Alfa, Author, Book, Bravo, Charlie, Clues, Entries, HardbackBook, ItemTag,
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Publisher, SelfRefFK, Store, WithManualPK,
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)
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class AggregationTests(TestCase):
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@classmethod
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def setUpTestData(cls):
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cls.a1 = Author.objects.create(name='Adrian Holovaty', age=34)
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cls.a2 = Author.objects.create(name='Jacob Kaplan-Moss', age=35)
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cls.a3 = Author.objects.create(name='Brad Dayley', age=45)
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cls.a4 = Author.objects.create(name='James Bennett', age=29)
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cls.a5 = Author.objects.create(name='Jeffrey Forcier', age=37)
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cls.a6 = Author.objects.create(name='Paul Bissex', age=29)
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cls.a7 = Author.objects.create(name='Wesley J. Chun', age=25)
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cls.a8 = Author.objects.create(name='Peter Norvig', age=57)
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cls.a9 = Author.objects.create(name='Stuart Russell', age=46)
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cls.a1.friends.add(cls.a2, cls.a4)
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cls.a2.friends.add(cls.a1, cls.a7)
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cls.a4.friends.add(cls.a1)
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cls.a5.friends.add(cls.a6, cls.a7)
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cls.a6.friends.add(cls.a5, cls.a7)
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cls.a7.friends.add(cls.a2, cls.a5, cls.a6)
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cls.a8.friends.add(cls.a9)
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cls.a9.friends.add(cls.a8)
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cls.p1 = Publisher.objects.create(name='Apress', num_awards=3)
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cls.p2 = Publisher.objects.create(name='Sams', num_awards=1)
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cls.p3 = Publisher.objects.create(name='Prentice Hall', num_awards=7)
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cls.p4 = Publisher.objects.create(name='Morgan Kaufmann', num_awards=9)
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cls.p5 = Publisher.objects.create(name="Jonno's House of Books", num_awards=0)
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cls.b1 = Book.objects.create(
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isbn='159059725', name='The Definitive Guide to Django: Web Development Done Right',
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pages=447, rating=4.5, price=Decimal('30.00'), contact=cls.a1, publisher=cls.p1,
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pubdate=datetime.date(2007, 12, 6)
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)
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cls.b2 = Book.objects.create(
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isbn='067232959', name='Sams Teach Yourself Django in 24 Hours',
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pages=528, rating=3.0, price=Decimal('23.09'), contact=cls.a3, publisher=cls.p2,
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pubdate=datetime.date(2008, 3, 3)
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)
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cls.b3 = Book.objects.create(
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isbn='159059996', name='Practical Django Projects',
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pages=300, rating=4.0, price=Decimal('29.69'), contact=cls.a4, publisher=cls.p1,
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pubdate=datetime.date(2008, 6, 23)
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)
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cls.b4 = Book.objects.create(
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isbn='013235613', name='Python Web Development with Django',
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pages=350, rating=4.0, price=Decimal('29.69'), contact=cls.a5, publisher=cls.p3,
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pubdate=datetime.date(2008, 11, 3)
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)
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cls.b5 = HardbackBook.objects.create(
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isbn='013790395', name='Artificial Intelligence: A Modern Approach',
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pages=1132, rating=4.0, price=Decimal('82.80'), contact=cls.a8, publisher=cls.p3,
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pubdate=datetime.date(1995, 1, 15), weight=4.5)
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cls.b6 = HardbackBook.objects.create(
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isbn='155860191', name='Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp',
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pages=946, rating=5.0, price=Decimal('75.00'), contact=cls.a8, publisher=cls.p4,
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pubdate=datetime.date(1991, 10, 15), weight=3.7)
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cls.b1.authors.add(cls.a1, cls.a2)
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cls.b2.authors.add(cls.a3)
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cls.b3.authors.add(cls.a4)
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cls.b4.authors.add(cls.a5, cls.a6, cls.a7)
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cls.b5.authors.add(cls.a8, cls.a9)
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cls.b6.authors.add(cls.a8)
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s1 = Store.objects.create(
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name='Amazon.com',
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original_opening=datetime.datetime(1994, 4, 23, 9, 17, 42),
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friday_night_closing=datetime.time(23, 59, 59)
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)
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s2 = Store.objects.create(
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name='Books.com',
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original_opening=datetime.datetime(2001, 3, 15, 11, 23, 37),
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friday_night_closing=datetime.time(23, 59, 59)
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)
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s3 = Store.objects.create(
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name="Mamma and Pappa's Books",
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original_opening=datetime.datetime(1945, 4, 25, 16, 24, 14),
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friday_night_closing=datetime.time(21, 30)
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)
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s1.books.add(cls.b1, cls.b2, cls.b3, cls.b4, cls.b5, cls.b6)
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s2.books.add(cls.b1, cls.b3, cls.b5, cls.b6)
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s3.books.add(cls.b3, cls.b4, cls.b6)
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def assertObjectAttrs(self, obj, **kwargs):
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for attr, value in six.iteritems(kwargs):
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self.assertEqual(getattr(obj, attr), value)
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def test_aggregates_in_where_clause(self):
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"""
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Regression test for #12822: DatabaseError: aggregates not allowed in
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WHERE clause
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The subselect works and returns results equivalent to a
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query with the IDs listed.
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Before the corresponding fix for this bug, this test passed in 1.1 and
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failed in 1.2-beta (trunk).
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"""
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qs = Book.objects.values('contact').annotate(Max('id'))
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qs = qs.order_by('contact').values_list('id__max', flat=True)
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# don't do anything with the queryset (qs) before including it as a
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# subquery
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books = Book.objects.order_by('id')
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qs1 = books.filter(id__in=qs)
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qs2 = books.filter(id__in=list(qs))
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self.assertEqual(list(qs1), list(qs2))
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def test_aggregates_in_where_clause_pre_eval(self):
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"""
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Regression test for #12822: DatabaseError: aggregates not allowed in
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WHERE clause
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Same as the above test, but evaluates the queryset for the subquery
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before it's used as a subquery.
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Before the corresponding fix for this bug, this test failed in both
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1.1 and 1.2-beta (trunk).
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"""
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qs = Book.objects.values('contact').annotate(Max('id'))
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qs = qs.order_by('contact').values_list('id__max', flat=True)
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# force the queryset (qs) for the subquery to be evaluated in its
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# current state
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list(qs)
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books = Book.objects.order_by('id')
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qs1 = books.filter(id__in=qs)
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qs2 = books.filter(id__in=list(qs))
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self.assertEqual(list(qs1), list(qs2))
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@skipUnlessDBFeature('supports_subqueries_in_group_by')
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def test_annotate_with_extra(self):
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"""
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Regression test for #11916: Extra params + aggregation creates
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incorrect SQL.
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"""
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# Oracle doesn't support subqueries in group by clause
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shortest_book_sql = """
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SELECT name
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FROM aggregation_regress_book b
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WHERE b.publisher_id = aggregation_regress_publisher.id
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ORDER BY b.pages
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LIMIT 1
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"""
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# tests that this query does not raise a DatabaseError due to the full
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# subselect being (erroneously) added to the GROUP BY parameters
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qs = Publisher.objects.extra(select={
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'name_of_shortest_book': shortest_book_sql,
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}).annotate(total_books=Count('book'))
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# force execution of the query
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list(qs)
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def test_aggregate(self):
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# Ordering requests are ignored
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self.assertEqual(
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Author.objects.order_by("name").aggregate(Avg("age")),
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{"age__avg": Approximate(37.444, places=1)}
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)
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# Implicit ordering is also ignored
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self.assertEqual(
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Book.objects.aggregate(Sum("pages")),
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{"pages__sum": 3703},
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)
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# Baseline results
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self.assertEqual(
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Book.objects.aggregate(Sum('pages'), Avg('pages')),
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{'pages__sum': 3703, 'pages__avg': Approximate(617.166, places=2)}
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)
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# Empty values query doesn't affect grouping or results
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self.assertEqual(
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Book.objects.values().aggregate(Sum('pages'), Avg('pages')),
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{'pages__sum': 3703, 'pages__avg': Approximate(617.166, places=2)}
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)
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# Aggregate overrides extra selected column
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self.assertEqual(
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Book.objects.extra(select={'price_per_page': 'price / pages'}).aggregate(Sum('pages')),
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{'pages__sum': 3703}
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)
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def test_annotation(self):
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# Annotations get combined with extra select clauses
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obj = Book.objects.annotate(mean_auth_age=Avg("authors__age")).extra(
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select={"manufacture_cost": "price * .5"}).get(pk=self.b2.pk)
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self.assertObjectAttrs(
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obj,
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contact_id=self.a3.id,
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isbn='067232959',
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mean_auth_age=45.0,
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name='Sams Teach Yourself Django in 24 Hours',
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pages=528,
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price=Decimal("23.09"),
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pubdate=datetime.date(2008, 3, 3),
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publisher_id=self.p2.id,
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rating=3.0
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)
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# Different DB backends return different types for the extra select computation
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self.assertIn(obj.manufacture_cost, (11.545, Decimal('11.545')))
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# Order of the annotate/extra in the query doesn't matter
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obj = Book.objects.extra(select={'manufacture_cost': 'price * .5'}).annotate(
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mean_auth_age=Avg('authors__age')).get(pk=self.b2.pk)
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self.assertObjectAttrs(
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obj,
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contact_id=self.a3.id,
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isbn='067232959',
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mean_auth_age=45.0,
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name='Sams Teach Yourself Django in 24 Hours',
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pages=528,
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price=Decimal("23.09"),
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pubdate=datetime.date(2008, 3, 3),
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publisher_id=self.p2.id,
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rating=3.0
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)
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# Different DB backends return different types for the extra select computation
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self.assertIn(obj.manufacture_cost, (11.545, Decimal('11.545')))
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# Values queries can be combined with annotate and extra
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obj = Book.objects.annotate(mean_auth_age=Avg('authors__age')).extra(
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select={'manufacture_cost': 'price * .5'}).values().get(pk=self.b2.pk)
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manufacture_cost = obj['manufacture_cost']
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self.assertIn(manufacture_cost, (11.545, Decimal('11.545')))
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del obj['manufacture_cost']
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self.assertEqual(obj, {
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'id': self.b2.id,
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'contact_id': self.a3.id,
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'isbn': '067232959',
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'mean_auth_age': 45.0,
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'name': 'Sams Teach Yourself Django in 24 Hours',
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'pages': 528,
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'price': Decimal('23.09'),
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'pubdate': datetime.date(2008, 3, 3),
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'publisher_id': self.p2.id,
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'rating': 3.0,
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})
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# The order of the (empty) values, annotate and extra clauses doesn't
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# matter
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obj = Book.objects.values().annotate(mean_auth_age=Avg('authors__age')).extra(
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select={'manufacture_cost': 'price * .5'}).get(pk=self.b2.pk)
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manufacture_cost = obj['manufacture_cost']
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self.assertIn(manufacture_cost, (11.545, Decimal('11.545')))
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del obj['manufacture_cost']
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self.assertEqual(obj, {
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'id': self.b2.id,
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'contact_id': self.a3.id,
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'isbn': '067232959',
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'mean_auth_age': 45.0,
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'name': 'Sams Teach Yourself Django in 24 Hours',
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'pages': 528,
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'price': Decimal('23.09'),
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'pubdate': datetime.date(2008, 3, 3),
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'publisher_id': self.p2.id,
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'rating': 3.0
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})
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# If the annotation precedes the values clause, it won't be included
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# unless it is explicitly named
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obj = Book.objects.annotate(mean_auth_age=Avg('authors__age')).extra(
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select={'price_per_page': 'price / pages'}).values('name').get(pk=self.b1.pk)
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self.assertEqual(obj, {
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"name": 'The Definitive Guide to Django: Web Development Done Right',
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})
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obj = Book.objects.annotate(mean_auth_age=Avg('authors__age')).extra(
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select={'price_per_page': 'price / pages'}).values('name', 'mean_auth_age').get(pk=self.b1.pk)
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self.assertEqual(obj, {
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'mean_auth_age': 34.5,
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'name': 'The Definitive Guide to Django: Web Development Done Right',
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})
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# If an annotation isn't included in the values, it can still be used
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# in a filter
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qs = Book.objects.annotate(n_authors=Count('authors')).values('name').filter(n_authors__gt=2)
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self.assertSequenceEqual(
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qs, [
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{"name": 'Python Web Development with Django'}
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],
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)
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# The annotations are added to values output if values() precedes
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# annotate()
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obj = Book.objects.values('name').annotate(mean_auth_age=Avg('authors__age')).extra(
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select={'price_per_page': 'price / pages'}).get(pk=self.b1.pk)
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self.assertEqual(obj, {
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'mean_auth_age': 34.5,
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'name': 'The Definitive Guide to Django: Web Development Done Right',
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})
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# All of the objects are getting counted (allow_nulls) and that values
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# respects the amount of objects
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self.assertEqual(
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len(Author.objects.annotate(Avg('friends__age')).values()),
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9
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)
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# Consecutive calls to annotate accumulate in the query
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qs = (
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Book.objects
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.values('price')
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.annotate(oldest=Max('authors__age'))
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.order_by('oldest', 'price')
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.annotate(Max('publisher__num_awards'))
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)
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self.assertSequenceEqual(
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qs, [
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{'price': Decimal("30"), 'oldest': 35, 'publisher__num_awards__max': 3},
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{'price': Decimal("29.69"), 'oldest': 37, 'publisher__num_awards__max': 7},
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{'price': Decimal("23.09"), 'oldest': 45, 'publisher__num_awards__max': 1},
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{'price': Decimal("75"), 'oldest': 57, 'publisher__num_awards__max': 9},
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{'price': Decimal("82.8"), 'oldest': 57, 'publisher__num_awards__max': 7}
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],
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)
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def test_aggregate_annotation(self):
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# Aggregates can be composed over annotations.
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# The return type is derived from the composed aggregate
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vals = (
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Book.objects
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.all()
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.annotate(num_authors=Count('authors__id'))
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.aggregate(Max('pages'), Max('price'), Sum('num_authors'), Avg('num_authors'))
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)
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self.assertEqual(vals, {
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'num_authors__sum': 10,
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'num_authors__avg': Approximate(1.666, places=2),
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'pages__max': 1132,
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'price__max': Decimal("82.80")
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})
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# Regression for #15624 - Missing SELECT columns when using values, annotate
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# and aggregate in a single query
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self.assertEqual(
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Book.objects.annotate(c=Count('authors')).values('c').aggregate(Max('c')),
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{'c__max': 3}
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)
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def test_decimal_aggregate_annotation_filter(self):
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"""
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Filtering on an aggregate annotation with Decimal values should work.
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Requires special handling on SQLite (#18247).
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"""
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self.assertEqual(
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len(Author.objects.annotate(sum=Sum('book_contact_set__price')).filter(sum__gt=Decimal(40))),
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1
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)
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self.assertEqual(
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len(Author.objects.annotate(sum=Sum('book_contact_set__price')).filter(sum__lte=Decimal(40))),
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4
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)
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def test_field_error(self):
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# Bad field requests in aggregates are caught and reported
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with self.assertRaises(FieldError):
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Book.objects.all().aggregate(num_authors=Count('foo'))
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with self.assertRaises(FieldError):
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Book.objects.all().annotate(num_authors=Count('foo'))
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with self.assertRaises(FieldError):
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Book.objects.all().annotate(num_authors=Count('authors__id')).aggregate(Max('foo'))
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def test_more(self):
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# Old-style count aggregations can be mixed with new-style
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self.assertEqual(
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Book.objects.annotate(num_authors=Count('authors')).count(),
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6
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)
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# Non-ordinal, non-computed Aggregates over annotations correctly
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# inherit the annotation's internal type if the annotation is ordinal
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# or computed
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vals = Book.objects.annotate(num_authors=Count('authors')).aggregate(Max('num_authors'))
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self.assertEqual(
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vals,
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{'num_authors__max': 3}
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)
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vals = Publisher.objects.annotate(avg_price=Avg('book__price')).aggregate(Max('avg_price'))
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self.assertEqual(
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vals,
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{'avg_price__max': 75.0}
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)
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# Aliases are quoted to protected aliases that might be reserved names
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vals = Book.objects.aggregate(number=Max('pages'), select=Max('pages'))
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self.assertEqual(
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vals,
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{'number': 1132, 'select': 1132}
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)
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# Regression for #10064: select_related() plays nice with aggregates
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obj = Book.objects.select_related('publisher').annotate(
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num_authors=Count('authors')).values().get(isbn='013790395')
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self.assertEqual(obj, {
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'contact_id': self.a8.id,
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'id': self.b5.id,
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'isbn': '013790395',
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'name': 'Artificial Intelligence: A Modern Approach',
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'num_authors': 2,
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'pages': 1132,
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'price': Decimal("82.8"),
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'pubdate': datetime.date(1995, 1, 15),
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'publisher_id': self.p3.id,
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'rating': 4.0,
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})
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|
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# Regression for #10010: exclude on an aggregate field is correctly
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# negated
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self.assertEqual(
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len(Book.objects.annotate(num_authors=Count('authors'))),
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6
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)
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self.assertEqual(
|
|
len(Book.objects.annotate(num_authors=Count('authors')).filter(num_authors__gt=2)),
|
|
1
|
|
)
|
|
self.assertEqual(
|
|
len(Book.objects.annotate(num_authors=Count('authors')).exclude(num_authors__gt=2)),
|
|
5
|
|
)
|
|
|
|
self.assertEqual(
|
|
len(
|
|
Book.objects
|
|
.annotate(num_authors=Count('authors'))
|
|
.filter(num_authors__lt=3)
|
|
.exclude(num_authors__lt=2)
|
|
),
|
|
2
|
|
)
|
|
self.assertEqual(
|
|
len(
|
|
Book.objects
|
|
.annotate(num_authors=Count('authors'))
|
|
.exclude(num_authors__lt=2)
|
|
.filter(num_authors__lt=3)
|
|
),
|
|
2
|
|
)
|
|
|
|
def test_aggregate_fexpr(self):
|
|
# Aggregates can be used with F() expressions
|
|
# ... where the F() is pushed into the HAVING clause
|
|
qs = (
|
|
Publisher.objects
|
|
.annotate(num_books=Count('book'))
|
|
.filter(num_books__lt=F('num_awards') / 2)
|
|
.order_by('name')
|
|
.values('name', 'num_books', 'num_awards')
|
|
)
|
|
self.assertSequenceEqual(
|
|
qs, [
|
|
{'num_books': 1, 'name': 'Morgan Kaufmann', 'num_awards': 9},
|
|
{'num_books': 2, 'name': 'Prentice Hall', 'num_awards': 7}
|
|
],
|
|
)
|
|
|
|
qs = (
|
|
Publisher.objects
|
|
.annotate(num_books=Count('book'))
|
|
.exclude(num_books__lt=F('num_awards') / 2)
|
|
.order_by('name')
|
|
.values('name', 'num_books', 'num_awards')
|
|
)
|
|
self.assertSequenceEqual(
|
|
qs, [
|
|
{'num_books': 2, 'name': 'Apress', 'num_awards': 3},
|
|
{'num_books': 0, 'name': "Jonno's House of Books", 'num_awards': 0},
|
|
{'num_books': 1, 'name': 'Sams', 'num_awards': 1}
|
|
],
|
|
)
|
|
|
|
# ... and where the F() references an aggregate
|
|
qs = (
|
|
Publisher.objects
|
|
.annotate(num_books=Count('book'))
|
|
.filter(num_awards__gt=2 * F('num_books'))
|
|
.order_by('name')
|
|
.values('name', 'num_books', 'num_awards')
|
|
)
|
|
self.assertSequenceEqual(
|
|
qs, [
|
|
{'num_books': 1, 'name': 'Morgan Kaufmann', 'num_awards': 9},
|
|
{'num_books': 2, 'name': 'Prentice Hall', 'num_awards': 7}
|
|
],
|
|
)
|
|
|
|
qs = (
|
|
Publisher.objects
|
|
.annotate(num_books=Count('book'))
|
|
.exclude(num_books__lt=F('num_awards') / 2)
|
|
.order_by('name')
|
|
.values('name', 'num_books', 'num_awards')
|
|
)
|
|
self.assertSequenceEqual(
|
|
qs, [
|
|
{'num_books': 2, 'name': 'Apress', 'num_awards': 3},
|
|
{'num_books': 0, 'name': "Jonno's House of Books", 'num_awards': 0},
|
|
{'num_books': 1, 'name': 'Sams', 'num_awards': 1}
|
|
],
|
|
)
|
|
|
|
def test_db_col_table(self):
|
|
# Tests on fields with non-default table and column names.
|
|
qs = (
|
|
Clues.objects
|
|
.values('EntryID__Entry')
|
|
.annotate(Appearances=Count('EntryID'), Distinct_Clues=Count('Clue', distinct=True))
|
|
)
|
|
self.assertQuerysetEqual(qs, [])
|
|
|
|
qs = Entries.objects.annotate(clue_count=Count('clues__ID'))
|
|
self.assertQuerysetEqual(qs, [])
|
|
|
|
def test_boolean_conversion(self):
|
|
# Aggregates mixed up ordering of columns for backend's convert_values
|
|
# method. Refs #21126.
|
|
e = Entries.objects.create(Entry='foo')
|
|
c = Clues.objects.create(EntryID=e, Clue='bar')
|
|
qs = Clues.objects.select_related('EntryID').annotate(Count('ID'))
|
|
self.assertSequenceEqual(qs, [c])
|
|
self.assertEqual(qs[0].EntryID, e)
|
|
self.assertIs(qs[0].EntryID.Exclude, False)
|
|
|
|
def test_empty(self):
|
|
# Regression for #10089: Check handling of empty result sets with
|
|
# aggregates
|
|
self.assertEqual(
|
|
Book.objects.filter(id__in=[]).count(),
|
|
0
|
|
)
|
|
|
|
vals = (
|
|
Book.objects
|
|
.filter(id__in=[])
|
|
.aggregate(
|
|
num_authors=Count('authors'),
|
|
avg_authors=Avg('authors'),
|
|
max_authors=Max('authors'),
|
|
max_price=Max('price'),
|
|
max_rating=Max('rating'),
|
|
)
|
|
)
|
|
self.assertEqual(
|
|
vals,
|
|
{'max_authors': None, 'max_rating': None, 'num_authors': 0, 'avg_authors': None, 'max_price': None}
|
|
)
|
|
|
|
qs = (
|
|
Publisher.objects
|
|
.filter(name="Jonno's House of Books")
|
|
.annotate(
|
|
num_authors=Count('book__authors'),
|
|
avg_authors=Avg('book__authors'),
|
|
max_authors=Max('book__authors'),
|
|
max_price=Max('book__price'),
|
|
max_rating=Max('book__rating'),
|
|
).values()
|
|
)
|
|
self.assertSequenceEqual(
|
|
qs,
|
|
[{
|
|
'max_authors': None,
|
|
'name': "Jonno's House of Books",
|
|
'num_awards': 0,
|
|
'max_price': None,
|
|
'num_authors': 0,
|
|
'max_rating': None,
|
|
'id': self.p5.id,
|
|
'avg_authors': None,
|
|
}],
|
|
)
|
|
|
|
def test_more_more(self):
|
|
# Regression for #10113 - Fields mentioned in order_by() must be
|
|
# included in the GROUP BY. This only becomes a problem when the
|
|
# order_by introduces a new join.
|
|
self.assertQuerysetEqual(
|
|
Book.objects.annotate(num_authors=Count('authors')).order_by('publisher__name', 'name'), [
|
|
"Practical Django Projects",
|
|
"The Definitive Guide to Django: Web Development Done Right",
|
|
"Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp",
|
|
"Artificial Intelligence: A Modern Approach",
|
|
"Python Web Development with Django",
|
|
"Sams Teach Yourself Django in 24 Hours",
|
|
],
|
|
lambda b: b.name
|
|
)
|
|
|
|
# Regression for #10127 - Empty select_related() works with annotate
|
|
qs = Book.objects.filter(rating__lt=4.5).select_related().annotate(Avg('authors__age'))
|
|
self.assertQuerysetEqual(
|
|
qs,
|
|
[
|
|
('Artificial Intelligence: A Modern Approach', 51.5, 'Prentice Hall', 'Peter Norvig'),
|
|
('Practical Django Projects', 29.0, 'Apress', 'James Bennett'),
|
|
(
|
|
'Python Web Development with Django',
|
|
Approximate(30.333, places=2),
|
|
'Prentice Hall',
|
|
'Jeffrey Forcier',
|
|
),
|
|
('Sams Teach Yourself Django in 24 Hours', 45.0, 'Sams', 'Brad Dayley')
|
|
],
|
|
lambda b: (b.name, b.authors__age__avg, b.publisher.name, b.contact.name)
|
|
)
|
|
|
|
# Regression for #10132 - If the values() clause only mentioned extra
|
|
# (select=) columns, those columns are used for grouping
|
|
qs = Book.objects.extra(select={'pub': 'publisher_id'}).values('pub').annotate(Count('id')).order_by('pub')
|
|
self.assertSequenceEqual(
|
|
qs, [
|
|
{'pub': self.b1.id, 'id__count': 2},
|
|
{'pub': self.b2.id, 'id__count': 1},
|
|
{'pub': self.b3.id, 'id__count': 2},
|
|
{'pub': self.b4.id, 'id__count': 1}
|
|
],
|
|
)
|
|
|
|
qs = (
|
|
Book.objects
|
|
.extra(select={'pub': 'publisher_id', 'foo': 'pages'})
|
|
.values('pub')
|
|
.annotate(Count('id'))
|
|
.order_by('pub')
|
|
)
|
|
self.assertSequenceEqual(
|
|
qs, [
|
|
{'pub': self.p1.id, 'id__count': 2},
|
|
{'pub': self.p2.id, 'id__count': 1},
|
|
{'pub': self.p3.id, 'id__count': 2},
|
|
{'pub': self.p4.id, 'id__count': 1}
|
|
],
|
|
)
|
|
|
|
# Regression for #10182 - Queries with aggregate calls are correctly
|
|
# realiased when used in a subquery
|
|
ids = (
|
|
Book.objects
|
|
.filter(pages__gt=100)
|
|
.annotate(n_authors=Count('authors'))
|
|
.filter(n_authors__gt=2)
|
|
.order_by('n_authors')
|
|
)
|
|
self.assertQuerysetEqual(
|
|
Book.objects.filter(id__in=ids), [
|
|
"Python Web Development with Django",
|
|
],
|
|
lambda b: b.name
|
|
)
|
|
|
|
# Regression for #15709 - Ensure each group_by field only exists once
|
|
# per query
|
|
qstr = str(Book.objects.values('publisher').annotate(max_pages=Max('pages')).order_by().query)
|
|
# There is just one GROUP BY clause (zero commas means at most one clause).
|
|
self.assertEqual(qstr[qstr.index('GROUP BY'):].count(', '), 0)
|
|
|
|
def test_duplicate_alias(self):
|
|
# Regression for #11256 - duplicating a default alias raises ValueError.
|
|
with self.assertRaises(ValueError):
|
|
Book.objects.all().annotate(Avg('authors__age'), authors__age__avg=Avg('authors__age'))
|
|
|
|
def test_field_name_conflict(self):
|
|
# Regression for #11256 - providing an aggregate name
|
|
# that conflicts with a field name on the model raises ValueError
|
|
with self.assertRaises(ValueError):
|
|
Author.objects.annotate(age=Avg('friends__age'))
|
|
|
|
def test_m2m_name_conflict(self):
|
|
# Regression for #11256 - providing an aggregate name
|
|
# that conflicts with an m2m name on the model raises ValueError
|
|
with self.assertRaises(ValueError):
|
|
Author.objects.annotate(friends=Count('friends'))
|
|
|
|
def test_values_queryset_non_conflict(self):
|
|
# Regression for #14707 -- If you're using a values query set, some potential conflicts are avoided.
|
|
|
|
# age is a field on Author, so it shouldn't be allowed as an aggregate.
|
|
# But age isn't included in values(), so it is.
|
|
results = Author.objects.values('name').annotate(age=Count('book_contact_set')).order_by('name')
|
|
self.assertEqual(len(results), 9)
|
|
self.assertEqual(results[0]['name'], 'Adrian Holovaty')
|
|
self.assertEqual(results[0]['age'], 1)
|
|
|
|
# Same problem, but aggregating over m2m fields
|
|
results = Author.objects.values('name').annotate(age=Avg('friends__age')).order_by('name')
|
|
self.assertEqual(len(results), 9)
|
|
self.assertEqual(results[0]['name'], 'Adrian Holovaty')
|
|
self.assertEqual(results[0]['age'], 32.0)
|
|
|
|
# Same problem, but colliding with an m2m field
|
|
results = Author.objects.values('name').annotate(friends=Count('friends')).order_by('name')
|
|
self.assertEqual(len(results), 9)
|
|
self.assertEqual(results[0]['name'], 'Adrian Holovaty')
|
|
self.assertEqual(results[0]['friends'], 2)
|
|
|
|
def test_reverse_relation_name_conflict(self):
|
|
# Regression for #11256 - providing an aggregate name
|
|
# that conflicts with a reverse-related name on the model raises ValueError
|
|
with self.assertRaises(ValueError):
|
|
Author.objects.annotate(book_contact_set=Avg('friends__age'))
|
|
|
|
def test_pickle(self):
|
|
# Regression for #10197 -- Queries with aggregates can be pickled.
|
|
# First check that pickling is possible at all. No crash = success
|
|
qs = Book.objects.annotate(num_authors=Count('authors'))
|
|
pickle.dumps(qs)
|
|
|
|
# Then check that the round trip works.
|
|
query = qs.query.get_compiler(qs.db).as_sql()[0]
|
|
qs2 = pickle.loads(pickle.dumps(qs))
|
|
self.assertEqual(
|
|
qs2.query.get_compiler(qs2.db).as_sql()[0],
|
|
query,
|
|
)
|
|
|
|
def test_more_more_more(self):
|
|
# Regression for #10199 - Aggregate calls clone the original query so
|
|
# the original query can still be used
|
|
books = Book.objects.all()
|
|
books.aggregate(Avg("authors__age"))
|
|
self.assertQuerysetEqual(
|
|
books.all(), [
|
|
'Artificial Intelligence: A Modern Approach',
|
|
'Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp',
|
|
'Practical Django Projects',
|
|
'Python Web Development with Django',
|
|
'Sams Teach Yourself Django in 24 Hours',
|
|
'The Definitive Guide to Django: Web Development Done Right'
|
|
],
|
|
lambda b: b.name
|
|
)
|
|
|
|
# Regression for #10248 - Annotations work with dates()
|
|
qs = Book.objects.annotate(num_authors=Count('authors')).filter(num_authors=2).dates('pubdate', 'day')
|
|
self.assertSequenceEqual(
|
|
qs, [
|
|
datetime.date(1995, 1, 15),
|
|
datetime.date(2007, 12, 6),
|
|
],
|
|
)
|
|
|
|
# Regression for #10290 - extra selects with parameters can be used for
|
|
# grouping.
|
|
qs = (
|
|
Book.objects
|
|
.annotate(mean_auth_age=Avg('authors__age'))
|
|
.extra(select={'sheets': '(pages + %s) / %s'}, select_params=[1, 2])
|
|
.order_by('sheets')
|
|
.values('sheets')
|
|
)
|
|
self.assertQuerysetEqual(
|
|
qs, [
|
|
150,
|
|
175,
|
|
224,
|
|
264,
|
|
473,
|
|
566
|
|
],
|
|
lambda b: int(b["sheets"])
|
|
)
|
|
|
|
# Regression for 10425 - annotations don't get in the way of a count()
|
|
# clause
|
|
self.assertEqual(
|
|
Book.objects.values('publisher').annotate(Count('publisher')).count(),
|
|
4
|
|
)
|
|
self.assertEqual(
|
|
Book.objects.annotate(Count('publisher')).values('publisher').count(),
|
|
6
|
|
)
|
|
|
|
# Note: intentionally no order_by(), that case needs tests, too.
|
|
publishers = Publisher.objects.filter(id__in=[1, 2])
|
|
self.assertEqual(
|
|
sorted(p.name for p in publishers),
|
|
[
|
|
"Apress",
|
|
"Sams"
|
|
]
|
|
)
|
|
|
|
publishers = publishers.annotate(n_books=Count("book"))
|
|
sorted_publishers = sorted(publishers, key=lambda x: x.name)
|
|
self.assertEqual(
|
|
sorted_publishers[0].n_books,
|
|
2
|
|
)
|
|
self.assertEqual(
|
|
sorted_publishers[1].n_books,
|
|
1
|
|
)
|
|
|
|
self.assertEqual(
|
|
sorted(p.name for p in publishers),
|
|
[
|
|
"Apress",
|
|
"Sams"
|
|
]
|
|
)
|
|
|
|
books = Book.objects.filter(publisher__in=publishers)
|
|
self.assertQuerysetEqual(
|
|
books, [
|
|
"Practical Django Projects",
|
|
"Sams Teach Yourself Django in 24 Hours",
|
|
"The Definitive Guide to Django: Web Development Done Right",
|
|
],
|
|
lambda b: b.name
|
|
)
|
|
self.assertEqual(
|
|
sorted(p.name for p in publishers),
|
|
[
|
|
"Apress",
|
|
"Sams"
|
|
]
|
|
)
|
|
|
|
# Regression for 10666 - inherited fields work with annotations and
|
|
# aggregations
|
|
self.assertEqual(
|
|
HardbackBook.objects.aggregate(n_pages=Sum('book_ptr__pages')),
|
|
{'n_pages': 2078}
|
|
)
|
|
|
|
self.assertEqual(
|
|
HardbackBook.objects.aggregate(n_pages=Sum('pages')),
|
|
{'n_pages': 2078},
|
|
)
|
|
|
|
qs = HardbackBook.objects.annotate(n_authors=Count('book_ptr__authors')).values('name', 'n_authors')
|
|
self.assertSequenceEqual(
|
|
qs,
|
|
[
|
|
{'n_authors': 2, 'name': 'Artificial Intelligence: A Modern Approach'},
|
|
{
|
|
'n_authors': 1,
|
|
'name': 'Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp'
|
|
}
|
|
],
|
|
)
|
|
|
|
qs = HardbackBook.objects.annotate(n_authors=Count('authors')).values('name', 'n_authors')
|
|
self.assertSequenceEqual(
|
|
qs,
|
|
[
|
|
{'n_authors': 2, 'name': 'Artificial Intelligence: A Modern Approach'},
|
|
{
|
|
'n_authors': 1,
|
|
'name': 'Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp'
|
|
}
|
|
],
|
|
)
|
|
|
|
# Regression for #10766 - Shouldn't be able to reference an aggregate
|
|
# fields in an aggregate() call.
|
|
with self.assertRaises(FieldError):
|
|
Book.objects.annotate(mean_age=Avg('authors__age')).annotate(Avg('mean_age'))
|
|
|
|
def test_empty_filter_count(self):
|
|
self.assertEqual(
|
|
Author.objects.filter(id__in=[]).annotate(Count("friends")).count(),
|
|
0
|
|
)
|
|
|
|
def test_empty_filter_aggregate(self):
|
|
self.assertEqual(
|
|
Author.objects.filter(id__in=[]).annotate(Count("friends")).aggregate(Count("pk")),
|
|
{"pk__count": None}
|
|
)
|
|
|
|
def test_none_call_before_aggregate(self):
|
|
# Regression for #11789
|
|
self.assertEqual(
|
|
Author.objects.none().aggregate(Avg('age')),
|
|
{'age__avg': None}
|
|
)
|
|
|
|
def test_annotate_and_join(self):
|
|
self.assertEqual(
|
|
Author.objects.annotate(c=Count("friends__name")).exclude(friends__name="Joe").count(),
|
|
Author.objects.count()
|
|
)
|
|
|
|
def test_f_expression_annotation(self):
|
|
# Books with less than 200 pages per author.
|
|
qs = Book.objects.values("name").annotate(
|
|
n_authors=Count("authors")
|
|
).filter(
|
|
pages__lt=F("n_authors") * 200
|
|
).values_list("pk")
|
|
self.assertQuerysetEqual(
|
|
Book.objects.filter(pk__in=qs), [
|
|
"Python Web Development with Django"
|
|
],
|
|
attrgetter("name")
|
|
)
|
|
|
|
def test_values_annotate_values(self):
|
|
qs = Book.objects.values("name").annotate(
|
|
n_authors=Count("authors")
|
|
).values_list("pk", flat=True)
|
|
self.assertEqual(list(qs), list(Book.objects.values_list("pk", flat=True)))
|
|
|
|
def test_having_group_by(self):
|
|
# When a field occurs on the LHS of a HAVING clause that it
|
|
# appears correctly in the GROUP BY clause
|
|
qs = Book.objects.values_list("name").annotate(
|
|
n_authors=Count("authors")
|
|
).filter(
|
|
pages__gt=F("n_authors")
|
|
).values_list("name", flat=True)
|
|
# Results should be the same, all Books have more pages than authors
|
|
self.assertEqual(
|
|
list(qs), list(Book.objects.values_list("name", flat=True))
|
|
)
|
|
|
|
def test_values_list_annotation_args_ordering(self):
|
|
"""
|
|
Annotate *args ordering should be preserved in values_list results.
|
|
**kwargs comes after *args.
|
|
Regression test for #23659.
|
|
"""
|
|
books = Book.objects.values_list("publisher__name").annotate(
|
|
Count("id"), Avg("price"), Avg("authors__age"), avg_pgs=Avg("pages")
|
|
).order_by("-publisher__name")
|
|
self.assertEqual(books[0], ('Sams', 1, 23.09, 45.0, 528.0))
|
|
|
|
def test_annotation_disjunction(self):
|
|
qs = Book.objects.annotate(n_authors=Count("authors")).filter(
|
|
Q(n_authors=2) | Q(name="Python Web Development with Django")
|
|
)
|
|
self.assertQuerysetEqual(
|
|
qs, [
|
|
"Artificial Intelligence: A Modern Approach",
|
|
"Python Web Development with Django",
|
|
"The Definitive Guide to Django: Web Development Done Right",
|
|
],
|
|
attrgetter("name")
|
|
)
|
|
|
|
qs = (
|
|
Book.objects
|
|
.annotate(n_authors=Count("authors"))
|
|
.filter(
|
|
Q(name="The Definitive Guide to Django: Web Development Done Right") |
|
|
(Q(name="Artificial Intelligence: A Modern Approach") & Q(n_authors=3))
|
|
)
|
|
)
|
|
self.assertQuerysetEqual(
|
|
qs,
|
|
[
|
|
"The Definitive Guide to Django: Web Development Done Right",
|
|
],
|
|
attrgetter("name")
|
|
)
|
|
|
|
qs = Publisher.objects.annotate(
|
|
rating_sum=Sum("book__rating"),
|
|
book_count=Count("book")
|
|
).filter(
|
|
Q(rating_sum__gt=5.5) | Q(rating_sum__isnull=True)
|
|
).order_by('pk')
|
|
self.assertQuerysetEqual(
|
|
qs, [
|
|
"Apress",
|
|
"Prentice Hall",
|
|
"Jonno's House of Books",
|
|
],
|
|
attrgetter("name")
|
|
)
|
|
|
|
qs = Publisher.objects.annotate(
|
|
rating_sum=Sum("book__rating"),
|
|
book_count=Count("book")
|
|
).filter(
|
|
Q(rating_sum__gt=F("book_count")) | Q(rating_sum=None)
|
|
).order_by("num_awards")
|
|
self.assertQuerysetEqual(
|
|
qs, [
|
|
"Jonno's House of Books",
|
|
"Sams",
|
|
"Apress",
|
|
"Prentice Hall",
|
|
"Morgan Kaufmann"
|
|
],
|
|
attrgetter("name")
|
|
)
|
|
|
|
def test_quoting_aggregate_order_by(self):
|
|
qs = Book.objects.filter(
|
|
name="Python Web Development with Django"
|
|
).annotate(
|
|
authorCount=Count("authors")
|
|
).order_by("authorCount")
|
|
self.assertQuerysetEqual(
|
|
qs, [
|
|
("Python Web Development with Django", 3),
|
|
],
|
|
lambda b: (b.name, b.authorCount)
|
|
)
|
|
|
|
@skipUnlessDBFeature('supports_stddev')
|
|
def test_stddev(self):
|
|
self.assertEqual(
|
|
Book.objects.aggregate(StdDev('pages')),
|
|
{'pages__stddev': Approximate(311.46, 1)}
|
|
)
|
|
|
|
self.assertEqual(
|
|
Book.objects.aggregate(StdDev('rating')),
|
|
{'rating__stddev': Approximate(0.60, 1)}
|
|
)
|
|
|
|
self.assertEqual(
|
|
Book.objects.aggregate(StdDev('price')),
|
|
{'price__stddev': Approximate(24.16, 2)}
|
|
)
|
|
|
|
self.assertEqual(
|
|
Book.objects.aggregate(StdDev('pages', sample=True)),
|
|
{'pages__stddev': Approximate(341.19, 2)}
|
|
)
|
|
|
|
self.assertEqual(
|
|
Book.objects.aggregate(StdDev('rating', sample=True)),
|
|
{'rating__stddev': Approximate(0.66, 2)}
|
|
)
|
|
|
|
self.assertEqual(
|
|
Book.objects.aggregate(StdDev('price', sample=True)),
|
|
{'price__stddev': Approximate(26.46, 1)}
|
|
)
|
|
|
|
self.assertEqual(
|
|
Book.objects.aggregate(Variance('pages')),
|
|
{'pages__variance': Approximate(97010.80, 1)}
|
|
)
|
|
|
|
self.assertEqual(
|
|
Book.objects.aggregate(Variance('rating')),
|
|
{'rating__variance': Approximate(0.36, 1)}
|
|
)
|
|
|
|
self.assertEqual(
|
|
Book.objects.aggregate(Variance('price')),
|
|
{'price__variance': Approximate(583.77, 1)}
|
|
)
|
|
|
|
self.assertEqual(
|
|
Book.objects.aggregate(Variance('pages', sample=True)),
|
|
{'pages__variance': Approximate(116412.96, 1)}
|
|
)
|
|
|
|
self.assertEqual(
|
|
Book.objects.aggregate(Variance('rating', sample=True)),
|
|
{'rating__variance': Approximate(0.44, 2)}
|
|
)
|
|
|
|
self.assertEqual(
|
|
Book.objects.aggregate(Variance('price', sample=True)),
|
|
{'price__variance': Approximate(700.53, 2)}
|
|
)
|
|
|
|
def test_filtering_by_annotation_name(self):
|
|
# Regression test for #14476
|
|
|
|
# The name of the explicitly provided annotation name in this case
|
|
# poses no problem
|
|
qs = Author.objects.annotate(book_cnt=Count('book')).filter(book_cnt=2).order_by('name')
|
|
self.assertQuerysetEqual(
|
|
qs,
|
|
['Peter Norvig'],
|
|
lambda b: b.name
|
|
)
|
|
# Neither in this case
|
|
qs = Author.objects.annotate(book_count=Count('book')).filter(book_count=2).order_by('name')
|
|
self.assertQuerysetEqual(
|
|
qs,
|
|
['Peter Norvig'],
|
|
lambda b: b.name
|
|
)
|
|
# This case used to fail because the ORM couldn't resolve the
|
|
# automatically generated annotation name `book__count`
|
|
qs = Author.objects.annotate(Count('book')).filter(book__count=2).order_by('name')
|
|
self.assertQuerysetEqual(
|
|
qs,
|
|
['Peter Norvig'],
|
|
lambda b: b.name
|
|
)
|
|
# Referencing the auto-generated name in an aggregate() also works.
|
|
self.assertEqual(
|
|
Author.objects.annotate(Count('book')).aggregate(Max('book__count')),
|
|
{'book__count__max': 2}
|
|
)
|
|
|
|
def test_annotate_joins(self):
|
|
"""
|
|
The base table's join isn't promoted to LOUTER. This could
|
|
cause the query generation to fail if there is an exclude() for fk-field
|
|
in the query, too. Refs #19087.
|
|
"""
|
|
qs = Book.objects.annotate(n=Count('pk'))
|
|
self.assertIs(qs.query.alias_map['aggregation_regress_book'].join_type, None)
|
|
# The query executes without problems.
|
|
self.assertEqual(len(qs.exclude(publisher=-1)), 6)
|
|
|
|
@skipUnlessAnyDBFeature('allows_group_by_pk', 'allows_group_by_selected_pks')
|
|
def test_aggregate_duplicate_columns(self):
|
|
# Regression test for #17144
|
|
|
|
results = Author.objects.annotate(num_contacts=Count('book_contact_set'))
|
|
|
|
# There should only be one GROUP BY clause, for the `id` column.
|
|
# `name` and `age` should not be grouped on.
|
|
_, _, group_by = results.query.get_compiler(using='default').pre_sql_setup()
|
|
self.assertEqual(len(group_by), 1)
|
|
self.assertIn('id', group_by[0][0])
|
|
self.assertNotIn('name', group_by[0][0])
|
|
self.assertNotIn('age', group_by[0][0])
|
|
self.assertEqual(
|
|
[(a.name, a.num_contacts) for a in results.order_by('name')],
|
|
[
|
|
('Adrian Holovaty', 1),
|
|
('Brad Dayley', 1),
|
|
('Jacob Kaplan-Moss', 0),
|
|
('James Bennett', 1),
|
|
('Jeffrey Forcier', 1),
|
|
('Paul Bissex', 0),
|
|
('Peter Norvig', 2),
|
|
('Stuart Russell', 0),
|
|
('Wesley J. Chun', 0),
|
|
]
|
|
)
|
|
|
|
@skipUnlessAnyDBFeature('allows_group_by_pk', 'allows_group_by_selected_pks')
|
|
def test_aggregate_duplicate_columns_only(self):
|
|
# Works with only() too.
|
|
results = Author.objects.only('id', 'name').annotate(num_contacts=Count('book_contact_set'))
|
|
_, _, grouping = results.query.get_compiler(using='default').pre_sql_setup()
|
|
self.assertEqual(len(grouping), 1)
|
|
self.assertIn('id', grouping[0][0])
|
|
self.assertNotIn('name', grouping[0][0])
|
|
self.assertNotIn('age', grouping[0][0])
|
|
self.assertEqual(
|
|
[(a.name, a.num_contacts) for a in results.order_by('name')],
|
|
[
|
|
('Adrian Holovaty', 1),
|
|
('Brad Dayley', 1),
|
|
('Jacob Kaplan-Moss', 0),
|
|
('James Bennett', 1),
|
|
('Jeffrey Forcier', 1),
|
|
('Paul Bissex', 0),
|
|
('Peter Norvig', 2),
|
|
('Stuart Russell', 0),
|
|
('Wesley J. Chun', 0),
|
|
]
|
|
)
|
|
|
|
@skipUnlessAnyDBFeature('allows_group_by_pk', 'allows_group_by_selected_pks')
|
|
def test_aggregate_duplicate_columns_select_related(self):
|
|
# And select_related()
|
|
results = Book.objects.select_related('contact').annotate(
|
|
num_authors=Count('authors'))
|
|
_, _, grouping = results.query.get_compiler(using='default').pre_sql_setup()
|
|
# In the case of `group_by_selected_pks` we also group by contact.id because of the select_related.
|
|
self.assertEqual(len(grouping), 1 if connection.features.allows_group_by_pk else 2)
|
|
self.assertIn('id', grouping[0][0])
|
|
self.assertNotIn('name', grouping[0][0])
|
|
self.assertNotIn('contact', grouping[0][0])
|
|
self.assertEqual(
|
|
[(b.name, b.num_authors) for b in results.order_by('name')],
|
|
[
|
|
('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)
|
|
]
|
|
)
|
|
|
|
def test_reverse_join_trimming(self):
|
|
qs = Author.objects.annotate(Count('book_contact_set__contact'))
|
|
self.assertIn(' JOIN ', str(qs.query))
|
|
|
|
def test_aggregation_with_generic_reverse_relation(self):
|
|
"""
|
|
Regression test for #10870: Aggregates with joins ignore extra
|
|
filters provided by setup_joins
|
|
|
|
tests aggregations with generic reverse relations
|
|
"""
|
|
django_book = Book.objects.get(name='Practical Django Projects')
|
|
ItemTag.objects.create(
|
|
object_id=django_book.id, tag='intermediate',
|
|
content_type=ContentType.objects.get_for_model(django_book),
|
|
)
|
|
ItemTag.objects.create(
|
|
object_id=django_book.id, tag='django',
|
|
content_type=ContentType.objects.get_for_model(django_book),
|
|
)
|
|
# Assign a tag to model with same PK as the book above. If the JOIN
|
|
# used in aggregation doesn't have content type as part of the
|
|
# condition the annotation will also count the 'hi mom' tag for b.
|
|
wmpk = WithManualPK.objects.create(id=django_book.pk)
|
|
ItemTag.objects.create(
|
|
object_id=wmpk.id, tag='hi mom',
|
|
content_type=ContentType.objects.get_for_model(wmpk),
|
|
)
|
|
ai_book = Book.objects.get(name__startswith='Paradigms of Artificial Intelligence')
|
|
ItemTag.objects.create(
|
|
object_id=ai_book.id, tag='intermediate',
|
|
content_type=ContentType.objects.get_for_model(ai_book),
|
|
)
|
|
|
|
self.assertEqual(Book.objects.aggregate(Count('tags')), {'tags__count': 3})
|
|
results = Book.objects.annotate(Count('tags')).order_by('-tags__count', 'name')
|
|
self.assertEqual(
|
|
[(b.name, b.tags__count) for b in results],
|
|
[
|
|
('Practical Django Projects', 2),
|
|
('Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp', 1),
|
|
('Artificial Intelligence: A Modern Approach', 0),
|
|
('Python Web Development with Django', 0),
|
|
('Sams Teach Yourself Django in 24 Hours', 0),
|
|
('The Definitive Guide to Django: Web Development Done Right', 0)
|
|
]
|
|
)
|
|
|
|
def test_negated_aggregation(self):
|
|
expected_results = Author.objects.exclude(
|
|
pk__in=Author.objects.annotate(book_cnt=Count('book')).filter(book_cnt=2)
|
|
).order_by('name')
|
|
expected_results = [a.name for a in expected_results]
|
|
qs = Author.objects.annotate(book_cnt=Count('book')).exclude(
|
|
Q(book_cnt=2), Q(book_cnt=2)).order_by('name')
|
|
self.assertQuerysetEqual(
|
|
qs,
|
|
expected_results,
|
|
lambda b: b.name
|
|
)
|
|
expected_results = Author.objects.exclude(
|
|
pk__in=Author.objects.annotate(book_cnt=Count('book')).filter(book_cnt=2)
|
|
).order_by('name')
|
|
expected_results = [a.name for a in expected_results]
|
|
qs = Author.objects.annotate(book_cnt=Count('book')).exclude(Q(book_cnt=2) | Q(book_cnt=2)).order_by('name')
|
|
self.assertQuerysetEqual(
|
|
qs,
|
|
expected_results,
|
|
lambda b: b.name
|
|
)
|
|
|
|
def test_name_filters(self):
|
|
qs = Author.objects.annotate(Count('book')).filter(
|
|
Q(book__count__exact=2) | Q(name='Adrian Holovaty')
|
|
).order_by('name')
|
|
self.assertQuerysetEqual(
|
|
qs,
|
|
['Adrian Holovaty', 'Peter Norvig'],
|
|
lambda b: b.name
|
|
)
|
|
|
|
def test_name_expressions(self):
|
|
# Aggregates are spotted correctly from F objects.
|
|
# Note that Adrian's age is 34 in the fixtures, and he has one book
|
|
# so both conditions match one author.
|
|
qs = Author.objects.annotate(Count('book')).filter(
|
|
Q(name='Peter Norvig') | Q(age=F('book__count') + 33)
|
|
).order_by('name')
|
|
self.assertQuerysetEqual(
|
|
qs,
|
|
['Adrian Holovaty', 'Peter Norvig'],
|
|
lambda b: b.name
|
|
)
|
|
|
|
def test_ticket_11293(self):
|
|
q1 = Q(price__gt=50)
|
|
q2 = Q(authors__count__gt=1)
|
|
query = Book.objects.annotate(Count('authors')).filter(
|
|
q1 | q2).order_by('pk')
|
|
self.assertQuerysetEqual(
|
|
query, [1, 4, 5, 6],
|
|
lambda b: b.pk)
|
|
|
|
def test_ticket_11293_q_immutable(self):
|
|
"""
|
|
Splitting a q object to parts for where/having doesn't alter
|
|
the original q-object.
|
|
"""
|
|
q1 = Q(isbn='')
|
|
q2 = Q(authors__count__gt=1)
|
|
query = Book.objects.annotate(Count('authors'))
|
|
query.filter(q1 | q2)
|
|
self.assertEqual(len(q2.children), 1)
|
|
|
|
def test_fobj_group_by(self):
|
|
"""
|
|
An F() object referring to related column works correctly in group by.
|
|
"""
|
|
qs = Book.objects.annotate(
|
|
account=Count('authors')
|
|
).filter(
|
|
account=F('publisher__num_awards')
|
|
)
|
|
self.assertQuerysetEqual(
|
|
qs, ['Sams Teach Yourself Django in 24 Hours'],
|
|
lambda b: b.name)
|
|
|
|
def test_annotate_reserved_word(self):
|
|
"""
|
|
Regression #18333 - Ensure annotated column name is properly quoted.
|
|
"""
|
|
vals = Book.objects.annotate(select=Count('authors__id')).aggregate(Sum('select'), Avg('select'))
|
|
self.assertEqual(vals, {
|
|
'select__sum': 10,
|
|
'select__avg': Approximate(1.666, places=2),
|
|
})
|
|
|
|
def test_annotate_on_relation(self):
|
|
book = Book.objects.annotate(avg_price=Avg('price'), publisher_name=F('publisher__name')).get(pk=self.b1.pk)
|
|
self.assertEqual(book.avg_price, 30.00)
|
|
self.assertEqual(book.publisher_name, "Apress")
|
|
|
|
def test_aggregate_on_relation(self):
|
|
# A query with an existing annotation aggregation on a relation should
|
|
# succeed.
|
|
qs = Book.objects.annotate(avg_price=Avg('price')).aggregate(
|
|
publisher_awards=Sum('publisher__num_awards')
|
|
)
|
|
self.assertEqual(qs['publisher_awards'], 30)
|
|
|
|
def test_annotate_distinct_aggregate(self):
|
|
# There are three books with rating of 4.0 and two of the books have
|
|
# the same price. Hence, the distinct removes one rating of 4.0
|
|
# from the results.
|
|
vals1 = Book.objects.values('rating', 'price').distinct().aggregate(result=Sum('rating'))
|
|
vals2 = Book.objects.aggregate(result=Sum('rating') - Value(4.0))
|
|
self.assertEqual(vals1, vals2)
|
|
|
|
|
|
class JoinPromotionTests(TestCase):
|
|
def test_ticket_21150(self):
|
|
b = Bravo.objects.create()
|
|
c = Charlie.objects.create(bravo=b)
|
|
qs = Charlie.objects.select_related('alfa').annotate(Count('bravo__charlie'))
|
|
self.assertSequenceEqual(qs, [c])
|
|
self.assertIs(qs[0].alfa, None)
|
|
a = Alfa.objects.create()
|
|
c.alfa = a
|
|
c.save()
|
|
# Force re-evaluation
|
|
qs = qs.all()
|
|
self.assertSequenceEqual(qs, [c])
|
|
self.assertEqual(qs[0].alfa, a)
|
|
|
|
def test_existing_join_not_promoted(self):
|
|
# No promotion for existing joins
|
|
qs = Charlie.objects.filter(alfa__name__isnull=False).annotate(Count('alfa__name'))
|
|
self.assertIn(' INNER JOIN ', str(qs.query))
|
|
# Also, the existing join is unpromoted when doing filtering for already
|
|
# promoted join.
|
|
qs = Charlie.objects.annotate(Count('alfa__name')).filter(alfa__name__isnull=False)
|
|
self.assertIn(' INNER JOIN ', str(qs.query))
|
|
# But, as the join is nullable first use by annotate will be LOUTER
|
|
qs = Charlie.objects.annotate(Count('alfa__name'))
|
|
self.assertIn(' LEFT OUTER JOIN ', str(qs.query))
|
|
|
|
def test_non_nullable_fk_not_promoted(self):
|
|
qs = Book.objects.annotate(Count('contact__name'))
|
|
self.assertIn(' INNER JOIN ', str(qs.query))
|
|
|
|
|
|
class SelfReferentialFKTests(TestCase):
|
|
def test_ticket_24748(self):
|
|
t1 = SelfRefFK.objects.create(name='t1')
|
|
SelfRefFK.objects.create(name='t2', parent=t1)
|
|
SelfRefFK.objects.create(name='t3', parent=t1)
|
|
self.assertQuerysetEqual(
|
|
SelfRefFK.objects.annotate(num_children=Count('children')).order_by('name'),
|
|
[('t1', 2), ('t2', 0), ('t3', 0)],
|
|
lambda x: (x.name, x.num_children)
|
|
)
|