1646 lines
67 KiB
Python
1646 lines
67 KiB
Python
import datetime
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import math
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import re
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from decimal import Decimal
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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, Case, Count, DateField, DateTimeField, DecimalField, DurationField,
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Exists, F, FloatField, IntegerField, Max, Min, OuterRef, Q, StdDev,
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Subquery, Sum, TimeField, Value, Variance, When,
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)
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from django.db.models.expressions import Func, RawSQL
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from django.db.models.functions import (
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Cast, Coalesce, Greatest, Now, Pi, TruncDate, TruncHour,
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)
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from django.test import TestCase
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from django.test.testcases import skipUnlessDBFeature
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from django.test.utils import Approximate, CaptureQueriesContext
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from django.utils import timezone
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from .models import Author, Book, Publisher, Store
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class NowUTC(Now):
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template = 'CURRENT_TIMESTAMP'
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output_field = DateTimeField()
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def as_sql(self, compiler, connection, **extra_context):
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if connection.features.test_now_utc_template:
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extra_context['template'] = connection.features.test_now_utc_template
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return super().as_sql(compiler, connection, **extra_context)
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class AggregateTestCase(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, duration=datetime.timedelta(days=1))
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cls.p2 = Publisher.objects.create(name='Sams', num_awards=1, duration=datetime.timedelta(days=2))
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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 = Book.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)
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)
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cls.b6 = Book.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)
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)
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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 test_empty_aggregate(self):
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self.assertEqual(Author.objects.all().aggregate(), {})
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def test_aggregate_in_order_by(self):
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msg = (
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'Using an aggregate in order_by() without also including it in '
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'annotate() is not allowed: Avg(F(book__rating)'
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)
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with self.assertRaisesMessage(FieldError, msg):
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Author.objects.values('age').order_by(Avg('book__rating'))
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def test_single_aggregate(self):
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vals = Author.objects.aggregate(Avg("age"))
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self.assertEqual(vals, {"age__avg": Approximate(37.4, places=1)})
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def test_multiple_aggregates(self):
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vals = Author.objects.aggregate(Sum("age"), Avg("age"))
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self.assertEqual(vals, {"age__sum": 337, "age__avg": Approximate(37.4, places=1)})
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def test_filter_aggregate(self):
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vals = Author.objects.filter(age__gt=29).aggregate(Sum("age"))
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self.assertEqual(vals, {'age__sum': 254})
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def test_related_aggregate(self):
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vals = Author.objects.aggregate(Avg("friends__age"))
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self.assertEqual(vals, {'friends__age__avg': Approximate(34.07, places=2)})
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vals = Book.objects.filter(rating__lt=4.5).aggregate(Avg("authors__age"))
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self.assertEqual(vals, {'authors__age__avg': Approximate(38.2857, places=2)})
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vals = Author.objects.all().filter(name__contains="a").aggregate(Avg("book__rating"))
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self.assertEqual(vals, {'book__rating__avg': 4.0})
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vals = Book.objects.aggregate(Sum("publisher__num_awards"))
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self.assertEqual(vals, {'publisher__num_awards__sum': 30})
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vals = Publisher.objects.aggregate(Sum("book__price"))
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self.assertEqual(vals, {'book__price__sum': Decimal('270.27')})
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def test_aggregate_multi_join(self):
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vals = Store.objects.aggregate(Max("books__authors__age"))
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self.assertEqual(vals, {'books__authors__age__max': 57})
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vals = Author.objects.aggregate(Min("book__publisher__num_awards"))
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self.assertEqual(vals, {'book__publisher__num_awards__min': 1})
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def test_aggregate_alias(self):
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vals = Store.objects.filter(name="Amazon.com").aggregate(amazon_mean=Avg("books__rating"))
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self.assertEqual(vals, {'amazon_mean': Approximate(4.08, places=2)})
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def test_aggregate_transform(self):
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vals = Store.objects.aggregate(min_month=Min('original_opening__month'))
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self.assertEqual(vals, {'min_month': 3})
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def test_aggregate_join_transform(self):
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vals = Publisher.objects.aggregate(min_year=Min('book__pubdate__year'))
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self.assertEqual(vals, {'min_year': 1991})
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def test_annotate_basic(self):
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self.assertQuerysetEqual(
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Book.objects.annotate().order_by('pk'), [
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"The Definitive Guide to Django: Web Development Done Right",
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"Sams Teach Yourself Django in 24 Hours",
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"Practical Django Projects",
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"Python Web Development with Django",
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"Artificial Intelligence: A Modern Approach",
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"Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp"
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],
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lambda b: b.name
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)
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books = Book.objects.annotate(mean_age=Avg("authors__age"))
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b = books.get(pk=self.b1.pk)
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self.assertEqual(
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b.name,
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'The Definitive Guide to Django: Web Development Done Right'
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)
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self.assertEqual(b.mean_age, 34.5)
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def test_annotate_defer(self):
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qs = Book.objects.annotate(
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page_sum=Sum("pages")).defer('name').filter(pk=self.b1.pk)
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rows = [
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(self.b1.id, "159059725", 447, "The Definitive Guide to Django: Web Development Done Right")
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]
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self.assertQuerysetEqual(
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qs.order_by('pk'), rows,
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lambda r: (r.id, r.isbn, r.page_sum, r.name)
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)
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def test_annotate_defer_select_related(self):
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qs = Book.objects.select_related('contact').annotate(
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page_sum=Sum("pages")).defer('name').filter(pk=self.b1.pk)
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rows = [
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(self.b1.id, "159059725", 447, "Adrian Holovaty",
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"The Definitive Guide to Django: Web Development Done Right")
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]
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self.assertQuerysetEqual(
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qs.order_by('pk'), rows,
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lambda r: (r.id, r.isbn, r.page_sum, r.contact.name, r.name)
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)
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def test_annotate_m2m(self):
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books = Book.objects.filter(rating__lt=4.5).annotate(Avg("authors__age")).order_by("name")
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self.assertQuerysetEqual(
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books, [
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('Artificial Intelligence: A Modern Approach', 51.5),
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('Practical Django Projects', 29.0),
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('Python Web Development with Django', Approximate(30.3, places=1)),
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('Sams Teach Yourself Django in 24 Hours', 45.0)
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],
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lambda b: (b.name, b.authors__age__avg),
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)
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books = Book.objects.annotate(num_authors=Count("authors")).order_by("name")
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self.assertQuerysetEqual(
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books, [
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('Artificial Intelligence: A Modern Approach', 2),
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('Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp', 1),
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('Practical Django Projects', 1),
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('Python Web Development with Django', 3),
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('Sams Teach Yourself Django in 24 Hours', 1),
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('The Definitive Guide to Django: Web Development Done Right', 2)
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],
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lambda b: (b.name, b.num_authors)
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)
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def test_backwards_m2m_annotate(self):
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authors = Author.objects.filter(name__contains="a").annotate(Avg("book__rating")).order_by("name")
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self.assertQuerysetEqual(
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authors, [
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('Adrian Holovaty', 4.5),
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('Brad Dayley', 3.0),
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('Jacob Kaplan-Moss', 4.5),
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('James Bennett', 4.0),
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('Paul Bissex', 4.0),
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('Stuart Russell', 4.0)
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],
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lambda a: (a.name, a.book__rating__avg)
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)
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authors = Author.objects.annotate(num_books=Count("book")).order_by("name")
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self.assertQuerysetEqual(
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authors, [
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('Adrian Holovaty', 1),
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('Brad Dayley', 1),
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('Jacob Kaplan-Moss', 1),
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('James Bennett', 1),
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('Jeffrey Forcier', 1),
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('Paul Bissex', 1),
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('Peter Norvig', 2),
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('Stuart Russell', 1),
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('Wesley J. Chun', 1)
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],
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lambda a: (a.name, a.num_books)
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)
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def test_reverse_fkey_annotate(self):
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books = Book.objects.annotate(Sum("publisher__num_awards")).order_by("name")
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self.assertQuerysetEqual(
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books, [
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('Artificial Intelligence: A Modern Approach', 7),
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('Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp', 9),
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('Practical Django Projects', 3),
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('Python Web Development with Django', 7),
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('Sams Teach Yourself Django in 24 Hours', 1),
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('The Definitive Guide to Django: Web Development Done Right', 3)
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],
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lambda b: (b.name, b.publisher__num_awards__sum)
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)
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publishers = Publisher.objects.annotate(Sum("book__price")).order_by("name")
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self.assertQuerysetEqual(
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publishers, [
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('Apress', Decimal("59.69")),
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("Jonno's House of Books", None),
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('Morgan Kaufmann', Decimal("75.00")),
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('Prentice Hall', Decimal("112.49")),
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('Sams', Decimal("23.09"))
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],
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lambda p: (p.name, p.book__price__sum)
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)
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def test_annotate_values(self):
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books = list(Book.objects.filter(pk=self.b1.pk).annotate(mean_age=Avg("authors__age")).values())
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self.assertEqual(
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books, [
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{
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"contact_id": self.a1.id,
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"id": self.b1.id,
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"isbn": "159059725",
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"mean_age": 34.5,
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"name": "The Definitive Guide to Django: Web Development Done Right",
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"pages": 447,
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"price": Approximate(Decimal("30")),
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"pubdate": datetime.date(2007, 12, 6),
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"publisher_id": self.p1.id,
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"rating": 4.5,
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}
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]
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)
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books = (
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Book.objects
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.filter(pk=self.b1.pk)
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.annotate(mean_age=Avg('authors__age'))
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.values('pk', 'isbn', 'mean_age')
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)
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self.assertEqual(
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list(books), [
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{
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"pk": self.b1.pk,
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"isbn": "159059725",
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"mean_age": 34.5,
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}
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]
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)
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books = Book.objects.filter(pk=self.b1.pk).annotate(mean_age=Avg("authors__age")).values("name")
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self.assertEqual(
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list(books),
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[{'name': 'The Definitive Guide to Django: Web Development Done Right'}],
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)
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books = Book.objects.filter(pk=self.b1.pk).values().annotate(mean_age=Avg('authors__age'))
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self.assertEqual(
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list(books), [
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{
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"contact_id": self.a1.id,
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"id": self.b1.id,
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"isbn": "159059725",
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"mean_age": 34.5,
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"name": "The Definitive Guide to Django: Web Development Done Right",
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"pages": 447,
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"price": Approximate(Decimal("30")),
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"pubdate": datetime.date(2007, 12, 6),
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"publisher_id": self.p1.id,
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"rating": 4.5,
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}
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]
|
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)
|
|
|
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books = (
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Book.objects
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.values("rating")
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.annotate(n_authors=Count("authors__id"), mean_age=Avg("authors__age"))
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.order_by("rating")
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)
|
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self.assertEqual(
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list(books), [
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{
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"rating": 3.0,
|
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"n_authors": 1,
|
|
"mean_age": 45.0,
|
|
},
|
|
{
|
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"rating": 4.0,
|
|
"n_authors": 6,
|
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"mean_age": Approximate(37.16, places=1)
|
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},
|
|
{
|
|
"rating": 4.5,
|
|
"n_authors": 2,
|
|
"mean_age": 34.5,
|
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},
|
|
{
|
|
"rating": 5.0,
|
|
"n_authors": 1,
|
|
"mean_age": 57.0,
|
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}
|
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]
|
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)
|
|
|
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authors = Author.objects.annotate(Avg("friends__age")).order_by("name")
|
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self.assertQuerysetEqual(
|
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authors, [
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('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),
|
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('Wesley J. Chun', Approximate(33.66, places=1))
|
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],
|
|
lambda a: (a.name, a.friends__age__avg)
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|
)
|
|
|
|
def test_count(self):
|
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vals = Book.objects.aggregate(Count("rating"))
|
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self.assertEqual(vals, {"rating__count": 6})
|
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|
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def test_count_star(self):
|
|
with self.assertNumQueries(1) as ctx:
|
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Book.objects.aggregate(n=Count("*"))
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sql = ctx.captured_queries[0]['sql']
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self.assertIn('SELECT COUNT(*) ', sql)
|
|
|
|
def test_count_distinct_expression(self):
|
|
aggs = Book.objects.aggregate(
|
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distinct_ratings=Count(Case(When(pages__gt=300, then='rating')), distinct=True),
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)
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self.assertEqual(aggs['distinct_ratings'], 4)
|
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|
|
def test_distinct_on_aggregate(self):
|
|
for aggregate, expected_result in (
|
|
(Avg, 4.125),
|
|
(Count, 4),
|
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(Sum, 16.5),
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):
|
|
with self.subTest(aggregate=aggregate.__name__):
|
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books = Book.objects.aggregate(ratings=aggregate('rating', distinct=True))
|
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self.assertEqual(books['ratings'], expected_result)
|
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|
|
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 = (
|
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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')
|
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)
|
|
self.assertEqual(list(qs), [{'rating': 4.0, 'count': 2}])
|
|
|
|
def test_grouped_annotation_in_group_by(self):
|
|
"""
|
|
An annotation included in values() before an aggregate should be
|
|
included in the group by clause.
|
|
"""
|
|
qs = (
|
|
Book.objects.annotate(xprice=F('price')).filter(rating=4.0).values('rating', 'xprice')
|
|
.annotate(count=Count('publisher_id', distinct=True)).values('count', 'rating').order_by('count')
|
|
)
|
|
self.assertEqual(
|
|
list(qs), [
|
|
{'rating': 4.0, 'count': 1},
|
|
{'rating': 4.0, 'count': 2},
|
|
]
|
|
)
|
|
|
|
def test_fkey_aggregate(self):
|
|
explicit = list(Author.objects.annotate(Count('book__id')))
|
|
implicit = list(Author.objects.annotate(Count('book')))
|
|
self.assertCountEqual(explicit, implicit)
|
|
|
|
def test_annotate_ordering(self):
|
|
books = Book.objects.values('rating').annotate(oldest=Max('authors__age')).order_by('oldest', 'rating')
|
|
self.assertEqual(
|
|
list(books), [
|
|
{'rating': 4.5, 'oldest': 35},
|
|
{'rating': 3.0, 'oldest': 45},
|
|
{'rating': 4.0, 'oldest': 57},
|
|
{'rating': 5.0, 'oldest': 57},
|
|
]
|
|
)
|
|
|
|
books = Book.objects.values("rating").annotate(oldest=Max("authors__age")).order_by("-oldest", "-rating")
|
|
self.assertEqual(
|
|
list(books), [
|
|
{'rating': 5.0, 'oldest': 57},
|
|
{'rating': 4.0, 'oldest': 57},
|
|
{'rating': 3.0, 'oldest': 45},
|
|
{'rating': 4.5, 'oldest': 35},
|
|
]
|
|
)
|
|
|
|
def test_aggregate_annotation(self):
|
|
vals = Book.objects.annotate(num_authors=Count("authors__id")).aggregate(Avg("num_authors"))
|
|
self.assertEqual(vals, {"num_authors__avg": Approximate(1.66, places=1)})
|
|
|
|
def test_avg_duration_field(self):
|
|
# Explicit `output_field`.
|
|
self.assertEqual(
|
|
Publisher.objects.aggregate(Avg('duration', output_field=DurationField())),
|
|
{'duration__avg': datetime.timedelta(days=1, hours=12)}
|
|
)
|
|
# Implicit `output_field`.
|
|
self.assertEqual(
|
|
Publisher.objects.aggregate(Avg('duration')),
|
|
{'duration__avg': datetime.timedelta(days=1, hours=12)}
|
|
)
|
|
|
|
def test_sum_duration_field(self):
|
|
self.assertEqual(
|
|
Publisher.objects.aggregate(Sum('duration', output_field=DurationField())),
|
|
{'duration__sum': datetime.timedelta(days=3)}
|
|
)
|
|
|
|
def test_sum_distinct_aggregate(self):
|
|
"""
|
|
Sum on a distinct() QuerySet should aggregate only the distinct items.
|
|
"""
|
|
authors = Author.objects.filter(book__in=[self.b5, self.b6])
|
|
self.assertEqual(authors.count(), 3)
|
|
|
|
distinct_authors = authors.distinct()
|
|
self.assertEqual(distinct_authors.count(), 2)
|
|
|
|
# Selected author ages are 57 and 46
|
|
age_sum = distinct_authors.aggregate(Sum('age'))
|
|
self.assertEqual(age_sum['age__sum'], 103)
|
|
|
|
def test_filtering(self):
|
|
p = Publisher.objects.create(name='Expensive Publisher', num_awards=0)
|
|
Book.objects.create(
|
|
name='ExpensiveBook1',
|
|
pages=1,
|
|
isbn='111',
|
|
rating=3.5,
|
|
price=Decimal("1000"),
|
|
publisher=p,
|
|
contact_id=self.a1.id,
|
|
pubdate=datetime.date(2008, 12, 1)
|
|
)
|
|
Book.objects.create(
|
|
name='ExpensiveBook2',
|
|
pages=1,
|
|
isbn='222',
|
|
rating=4.0,
|
|
price=Decimal("1000"),
|
|
publisher=p,
|
|
contact_id=self.a1.id,
|
|
pubdate=datetime.date(2008, 12, 2)
|
|
)
|
|
Book.objects.create(
|
|
name='ExpensiveBook3',
|
|
pages=1,
|
|
isbn='333',
|
|
rating=4.5,
|
|
price=Decimal("35"),
|
|
publisher=p,
|
|
contact_id=self.a1.id,
|
|
pubdate=datetime.date(2008, 12, 3)
|
|
)
|
|
|
|
publishers = Publisher.objects.annotate(num_books=Count("book__id")).filter(num_books__gt=1).order_by("pk")
|
|
self.assertQuerysetEqual(
|
|
publishers,
|
|
['Apress', 'Prentice Hall', 'Expensive Publisher'],
|
|
lambda p: p.name,
|
|
)
|
|
|
|
publishers = Publisher.objects.filter(book__price__lt=Decimal("40.0")).order_by("pk")
|
|
self.assertQuerysetEqual(
|
|
publishers, [
|
|
"Apress",
|
|
"Apress",
|
|
"Sams",
|
|
"Prentice Hall",
|
|
"Expensive Publisher",
|
|
],
|
|
lambda p: p.name
|
|
)
|
|
|
|
publishers = (
|
|
Publisher.objects
|
|
.annotate(num_books=Count("book__id"))
|
|
.filter(num_books__gt=1, book__price__lt=Decimal("40.0"))
|
|
.order_by("pk")
|
|
)
|
|
self.assertQuerysetEqual(
|
|
publishers,
|
|
['Apress', 'Prentice Hall', 'Expensive Publisher'],
|
|
lambda p: p.name,
|
|
)
|
|
|
|
publishers = (
|
|
Publisher.objects
|
|
.filter(book__price__lt=Decimal("40.0"))
|
|
.annotate(num_books=Count("book__id"))
|
|
.filter(num_books__gt=1)
|
|
.order_by("pk")
|
|
)
|
|
self.assertQuerysetEqual(publishers, ['Apress'], lambda p: p.name)
|
|
|
|
publishers = Publisher.objects.annotate(num_books=Count("book")).filter(num_books__range=[1, 3]).order_by("pk")
|
|
self.assertQuerysetEqual(
|
|
publishers, [
|
|
"Apress",
|
|
"Sams",
|
|
"Prentice Hall",
|
|
"Morgan Kaufmann",
|
|
"Expensive Publisher",
|
|
],
|
|
lambda p: p.name
|
|
)
|
|
|
|
publishers = Publisher.objects.annotate(num_books=Count("book")).filter(num_books__range=[1, 2]).order_by("pk")
|
|
self.assertQuerysetEqual(
|
|
publishers,
|
|
['Apress', 'Sams', 'Prentice Hall', 'Morgan Kaufmann'],
|
|
lambda p: p.name
|
|
)
|
|
|
|
publishers = Publisher.objects.annotate(num_books=Count("book")).filter(num_books__in=[1, 3]).order_by("pk")
|
|
self.assertQuerysetEqual(
|
|
publishers,
|
|
['Sams', 'Morgan Kaufmann', 'Expensive Publisher'],
|
|
lambda p: p.name,
|
|
)
|
|
|
|
publishers = Publisher.objects.annotate(num_books=Count("book")).filter(num_books__isnull=True)
|
|
self.assertEqual(len(publishers), 0)
|
|
|
|
def test_annotation(self):
|
|
vals = Author.objects.filter(pk=self.a1.pk).aggregate(Count("friends__id"))
|
|
self.assertEqual(vals, {"friends__id__count": 2})
|
|
|
|
books = Book.objects.annotate(num_authors=Count("authors__name")).filter(num_authors__exact=2).order_by("pk")
|
|
self.assertQuerysetEqual(
|
|
books, [
|
|
"The Definitive Guide to Django: Web Development Done Right",
|
|
"Artificial Intelligence: A Modern Approach",
|
|
],
|
|
lambda b: b.name
|
|
)
|
|
|
|
authors = (
|
|
Author.objects
|
|
.annotate(num_friends=Count("friends__id", distinct=True))
|
|
.filter(num_friends=0)
|
|
.order_by("pk")
|
|
)
|
|
self.assertQuerysetEqual(authors, ['Brad Dayley'], lambda a: a.name)
|
|
|
|
publishers = Publisher.objects.annotate(num_books=Count("book__id")).filter(num_books__gt=1).order_by("pk")
|
|
self.assertQuerysetEqual(publishers, ['Apress', 'Prentice Hall'], lambda p: p.name)
|
|
|
|
publishers = (
|
|
Publisher.objects
|
|
.filter(book__price__lt=Decimal("40.0"))
|
|
.annotate(num_books=Count("book__id"))
|
|
.filter(num_books__gt=1)
|
|
)
|
|
self.assertQuerysetEqual(publishers, ['Apress'], lambda p: p.name)
|
|
|
|
books = (
|
|
Book.objects
|
|
.annotate(num_authors=Count("authors__id"))
|
|
.filter(authors__name__contains="Norvig", num_authors__gt=1)
|
|
)
|
|
self.assertQuerysetEqual(
|
|
books,
|
|
['Artificial Intelligence: A Modern Approach'],
|
|
lambda b: b.name
|
|
)
|
|
|
|
def test_more_aggregation(self):
|
|
a = Author.objects.get(name__contains='Norvig')
|
|
b = Book.objects.get(name__contains='Done Right')
|
|
b.authors.add(a)
|
|
b.save()
|
|
|
|
vals = (
|
|
Book.objects
|
|
.annotate(num_authors=Count("authors__id"))
|
|
.filter(authors__name__contains="Norvig", num_authors__gt=1)
|
|
.aggregate(Avg("rating"))
|
|
)
|
|
self.assertEqual(vals, {"rating__avg": 4.25})
|
|
|
|
def test_even_more_aggregate(self):
|
|
publishers = Publisher.objects.annotate(
|
|
earliest_book=Min("book__pubdate"),
|
|
).exclude(earliest_book=None).order_by("earliest_book").values(
|
|
'earliest_book',
|
|
'num_awards',
|
|
'id',
|
|
'name',
|
|
)
|
|
self.assertEqual(
|
|
list(publishers), [
|
|
{
|
|
'earliest_book': datetime.date(1991, 10, 15),
|
|
'num_awards': 9,
|
|
'id': self.p4.id,
|
|
'name': 'Morgan Kaufmann'
|
|
},
|
|
{
|
|
'earliest_book': datetime.date(1995, 1, 15),
|
|
'num_awards': 7,
|
|
'id': self.p3.id,
|
|
'name': 'Prentice Hall'
|
|
},
|
|
{
|
|
'earliest_book': datetime.date(2007, 12, 6),
|
|
'num_awards': 3,
|
|
'id': self.p1.id,
|
|
'name': 'Apress'
|
|
},
|
|
{
|
|
'earliest_book': datetime.date(2008, 3, 3),
|
|
'num_awards': 1,
|
|
'id': self.p2.id,
|
|
'name': 'Sams'
|
|
}
|
|
]
|
|
)
|
|
|
|
vals = Store.objects.aggregate(Max("friday_night_closing"), Min("original_opening"))
|
|
self.assertEqual(
|
|
vals,
|
|
{
|
|
"friday_night_closing__max": datetime.time(23, 59, 59),
|
|
"original_opening__min": datetime.datetime(1945, 4, 25, 16, 24, 14),
|
|
}
|
|
)
|
|
|
|
def test_annotate_values_list(self):
|
|
books = (
|
|
Book.objects
|
|
.filter(pk=self.b1.pk)
|
|
.annotate(mean_age=Avg("authors__age"))
|
|
.values_list("pk", "isbn", "mean_age")
|
|
)
|
|
self.assertEqual(list(books), [(self.b1.id, '159059725', 34.5)])
|
|
|
|
books = Book.objects.filter(pk=self.b1.pk).annotate(mean_age=Avg("authors__age")).values_list("isbn")
|
|
self.assertEqual(list(books), [('159059725',)])
|
|
|
|
books = Book.objects.filter(pk=self.b1.pk).annotate(mean_age=Avg("authors__age")).values_list("mean_age")
|
|
self.assertEqual(list(books), [(34.5,)])
|
|
|
|
books = (
|
|
Book.objects
|
|
.filter(pk=self.b1.pk)
|
|
.annotate(mean_age=Avg("authors__age"))
|
|
.values_list("mean_age", flat=True)
|
|
)
|
|
self.assertEqual(list(books), [34.5])
|
|
|
|
books = Book.objects.values_list("price").annotate(count=Count("price")).order_by("-count", "price")
|
|
self.assertEqual(
|
|
list(books), [
|
|
(Decimal("29.69"), 2),
|
|
(Decimal('23.09'), 1),
|
|
(Decimal('30'), 1),
|
|
(Decimal('75'), 1),
|
|
(Decimal('82.8'), 1),
|
|
]
|
|
)
|
|
|
|
def test_dates_with_aggregation(self):
|
|
"""
|
|
.dates() returns a distinct set of dates when applied to a
|
|
QuerySet with aggregation.
|
|
|
|
Refs #18056. Previously, .dates() would return distinct (date_kind,
|
|
aggregation) sets, in this case (year, num_authors), so 2008 would be
|
|
returned twice because there are books from 2008 with a different
|
|
number of authors.
|
|
"""
|
|
dates = Book.objects.annotate(num_authors=Count("authors")).dates('pubdate', 'year')
|
|
self.assertSequenceEqual(
|
|
dates, [
|
|
datetime.date(1991, 1, 1),
|
|
datetime.date(1995, 1, 1),
|
|
datetime.date(2007, 1, 1),
|
|
datetime.date(2008, 1, 1),
|
|
],
|
|
)
|
|
|
|
def test_values_aggregation(self):
|
|
# Refs #20782
|
|
max_rating = Book.objects.values('rating').aggregate(max_rating=Max('rating'))
|
|
self.assertEqual(max_rating['max_rating'], 5)
|
|
max_books_per_rating = Book.objects.values('rating').annotate(
|
|
books_per_rating=Count('id')
|
|
).aggregate(Max('books_per_rating'))
|
|
self.assertEqual(
|
|
max_books_per_rating,
|
|
{'books_per_rating__max': 3})
|
|
|
|
def test_ticket17424(self):
|
|
"""
|
|
Doing exclude() on a foreign model after annotate() doesn't crash.
|
|
"""
|
|
all_books = list(Book.objects.values_list('pk', flat=True).order_by('pk'))
|
|
annotated_books = Book.objects.order_by('pk').annotate(one=Count("id"))
|
|
|
|
# The value doesn't matter, we just need any negative
|
|
# constraint on a related model that's a noop.
|
|
excluded_books = annotated_books.exclude(publisher__name="__UNLIKELY_VALUE__")
|
|
|
|
# Try to generate query tree
|
|
str(excluded_books.query)
|
|
|
|
self.assertQuerysetEqual(excluded_books, all_books, lambda x: x.pk)
|
|
|
|
# Check internal state
|
|
self.assertIsNone(annotated_books.query.alias_map["aggregation_book"].join_type)
|
|
self.assertIsNone(excluded_books.query.alias_map["aggregation_book"].join_type)
|
|
|
|
def test_ticket12886(self):
|
|
"""
|
|
Aggregation over sliced queryset works correctly.
|
|
"""
|
|
qs = Book.objects.all().order_by('-rating')[0:3]
|
|
vals = qs.aggregate(average_top3_rating=Avg('rating'))['average_top3_rating']
|
|
self.assertAlmostEqual(vals, 4.5, places=2)
|
|
|
|
def test_ticket11881(self):
|
|
"""
|
|
Subqueries do not needlessly contain ORDER BY, SELECT FOR UPDATE or
|
|
select_related() stuff.
|
|
"""
|
|
qs = Book.objects.all().select_for_update().order_by(
|
|
'pk').select_related('publisher').annotate(max_pk=Max('pk'))
|
|
with CaptureQueriesContext(connection) as captured_queries:
|
|
qs.aggregate(avg_pk=Avg('max_pk'))
|
|
self.assertEqual(len(captured_queries), 1)
|
|
qstr = captured_queries[0]['sql'].lower()
|
|
self.assertNotIn('for update', qstr)
|
|
forced_ordering = connection.ops.force_no_ordering()
|
|
if forced_ordering:
|
|
# If the backend needs to force an ordering we make sure it's
|
|
# the only "ORDER BY" clause present in the query.
|
|
self.assertEqual(
|
|
re.findall(r'order by (\w+)', qstr),
|
|
[', '.join(f[1][0] for f in forced_ordering).lower()]
|
|
)
|
|
else:
|
|
self.assertNotIn('order by', qstr)
|
|
self.assertEqual(qstr.count(' join '), 0)
|
|
|
|
def test_decimal_max_digits_has_no_effect(self):
|
|
Book.objects.all().delete()
|
|
a1 = Author.objects.first()
|
|
p1 = Publisher.objects.first()
|
|
thedate = timezone.now()
|
|
for i in range(10):
|
|
Book.objects.create(
|
|
isbn="abcde{}".format(i), name="none", pages=10, rating=4.0,
|
|
price=9999.98, contact=a1, publisher=p1, pubdate=thedate)
|
|
|
|
book = Book.objects.aggregate(price_sum=Sum('price'))
|
|
self.assertEqual(book['price_sum'], Decimal("99999.80"))
|
|
|
|
def test_nonaggregate_aggregation_throws(self):
|
|
with self.assertRaisesMessage(TypeError, 'fail is not an aggregate expression'):
|
|
Book.objects.aggregate(fail=F('price'))
|
|
|
|
def test_nonfield_annotation(self):
|
|
book = Book.objects.annotate(val=Max(Value(2))).first()
|
|
self.assertEqual(book.val, 2)
|
|
book = Book.objects.annotate(val=Max(Value(2), output_field=IntegerField())).first()
|
|
self.assertEqual(book.val, 2)
|
|
book = Book.objects.annotate(val=Max(2, output_field=IntegerField())).first()
|
|
self.assertEqual(book.val, 2)
|
|
|
|
def test_annotation_expressions(self):
|
|
authors = Author.objects.annotate(combined_ages=Sum(F('age') + F('friends__age'))).order_by('name')
|
|
authors2 = Author.objects.annotate(combined_ages=Sum('age') + Sum('friends__age')).order_by('name')
|
|
for qs in (authors, authors2):
|
|
self.assertQuerysetEqual(
|
|
qs, [
|
|
('Adrian Holovaty', 132),
|
|
('Brad Dayley', None),
|
|
('Jacob Kaplan-Moss', 129),
|
|
('James Bennett', 63),
|
|
('Jeffrey Forcier', 128),
|
|
('Paul Bissex', 120),
|
|
('Peter Norvig', 103),
|
|
('Stuart Russell', 103),
|
|
('Wesley J. Chun', 176)
|
|
],
|
|
lambda a: (a.name, a.combined_ages)
|
|
)
|
|
|
|
def test_aggregation_expressions(self):
|
|
a1 = Author.objects.aggregate(av_age=Sum('age') / Count('*'))
|
|
a2 = Author.objects.aggregate(av_age=Sum('age') / Count('age'))
|
|
a3 = Author.objects.aggregate(av_age=Avg('age'))
|
|
self.assertEqual(a1, {'av_age': 37})
|
|
self.assertEqual(a2, {'av_age': 37})
|
|
self.assertEqual(a3, {'av_age': Approximate(37.4, places=1)})
|
|
|
|
def test_avg_decimal_field(self):
|
|
v = Book.objects.filter(rating=4).aggregate(avg_price=(Avg('price')))['avg_price']
|
|
self.assertIsInstance(v, Decimal)
|
|
self.assertEqual(v, Approximate(Decimal('47.39'), places=2))
|
|
|
|
def test_order_of_precedence(self):
|
|
p1 = Book.objects.filter(rating=4).aggregate(avg_price=(Avg('price') + 2) * 3)
|
|
self.assertEqual(p1, {'avg_price': Approximate(Decimal('148.18'), places=2)})
|
|
|
|
p2 = Book.objects.filter(rating=4).aggregate(avg_price=Avg('price') + 2 * 3)
|
|
self.assertEqual(p2, {'avg_price': Approximate(Decimal('53.39'), places=2)})
|
|
|
|
def test_combine_different_types(self):
|
|
msg = (
|
|
'Expression contains mixed types: FloatField, DecimalField. '
|
|
'You must set output_field.'
|
|
)
|
|
qs = Book.objects.annotate(sums=Sum('rating') + Sum('pages') + Sum('price'))
|
|
with self.assertRaisesMessage(FieldError, msg):
|
|
qs.first()
|
|
with self.assertRaisesMessage(FieldError, msg):
|
|
qs.first()
|
|
|
|
b1 = Book.objects.annotate(sums=Sum(F('rating') + F('pages') + F('price'),
|
|
output_field=IntegerField())).get(pk=self.b4.pk)
|
|
self.assertEqual(b1.sums, 383)
|
|
|
|
b2 = Book.objects.annotate(sums=Sum(F('rating') + F('pages') + F('price'),
|
|
output_field=FloatField())).get(pk=self.b4.pk)
|
|
self.assertEqual(b2.sums, 383.69)
|
|
|
|
b3 = Book.objects.annotate(sums=Sum(F('rating') + F('pages') + F('price'),
|
|
output_field=DecimalField())).get(pk=self.b4.pk)
|
|
self.assertEqual(b3.sums, Approximate(Decimal("383.69"), places=2))
|
|
|
|
def test_complex_aggregations_require_kwarg(self):
|
|
with self.assertRaisesMessage(TypeError, 'Complex annotations require an alias'):
|
|
Author.objects.annotate(Sum(F('age') + F('friends__age')))
|
|
with self.assertRaisesMessage(TypeError, 'Complex aggregates require an alias'):
|
|
Author.objects.aggregate(Sum('age') / Count('age'))
|
|
with self.assertRaisesMessage(TypeError, 'Complex aggregates require an alias'):
|
|
Author.objects.aggregate(Sum(1))
|
|
|
|
def test_aggregate_over_complex_annotation(self):
|
|
qs = Author.objects.annotate(
|
|
combined_ages=Sum(F('age') + F('friends__age')))
|
|
|
|
age = qs.aggregate(max_combined_age=Max('combined_ages'))
|
|
self.assertEqual(age['max_combined_age'], 176)
|
|
|
|
age = qs.aggregate(max_combined_age_doubled=Max('combined_ages') * 2)
|
|
self.assertEqual(age['max_combined_age_doubled'], 176 * 2)
|
|
|
|
age = qs.aggregate(
|
|
max_combined_age_doubled=Max('combined_ages') + Max('combined_ages'))
|
|
self.assertEqual(age['max_combined_age_doubled'], 176 * 2)
|
|
|
|
age = qs.aggregate(
|
|
max_combined_age_doubled=Max('combined_ages') + Max('combined_ages'),
|
|
sum_combined_age=Sum('combined_ages'))
|
|
self.assertEqual(age['max_combined_age_doubled'], 176 * 2)
|
|
self.assertEqual(age['sum_combined_age'], 954)
|
|
|
|
age = qs.aggregate(
|
|
max_combined_age_doubled=Max('combined_ages') + Max('combined_ages'),
|
|
sum_combined_age_doubled=Sum('combined_ages') + Sum('combined_ages'))
|
|
self.assertEqual(age['max_combined_age_doubled'], 176 * 2)
|
|
self.assertEqual(age['sum_combined_age_doubled'], 954 * 2)
|
|
|
|
def test_values_annotation_with_expression(self):
|
|
# ensure the F() is promoted to the group by clause
|
|
qs = Author.objects.values('name').annotate(another_age=Sum('age') + F('age'))
|
|
a = qs.get(name="Adrian Holovaty")
|
|
self.assertEqual(a['another_age'], 68)
|
|
|
|
qs = qs.annotate(friend_count=Count('friends'))
|
|
a = qs.get(name="Adrian Holovaty")
|
|
self.assertEqual(a['friend_count'], 2)
|
|
|
|
qs = qs.annotate(combined_age=Sum('age') + F('friends__age')).filter(
|
|
name="Adrian Holovaty").order_by('-combined_age')
|
|
self.assertEqual(
|
|
list(qs), [
|
|
{
|
|
"name": 'Adrian Holovaty',
|
|
"another_age": 68,
|
|
"friend_count": 1,
|
|
"combined_age": 69
|
|
},
|
|
{
|
|
"name": 'Adrian Holovaty',
|
|
"another_age": 68,
|
|
"friend_count": 1,
|
|
"combined_age": 63
|
|
}
|
|
]
|
|
)
|
|
|
|
vals = qs.values('name', 'combined_age')
|
|
self.assertEqual(
|
|
list(vals), [
|
|
{'name': 'Adrian Holovaty', 'combined_age': 69},
|
|
{'name': 'Adrian Holovaty', 'combined_age': 63},
|
|
]
|
|
)
|
|
|
|
def test_annotate_values_aggregate(self):
|
|
alias_age = Author.objects.annotate(
|
|
age_alias=F('age')
|
|
).values(
|
|
'age_alias',
|
|
).aggregate(sum_age=Sum('age_alias'))
|
|
|
|
age = Author.objects.values('age').aggregate(sum_age=Sum('age'))
|
|
|
|
self.assertEqual(alias_age['sum_age'], age['sum_age'])
|
|
|
|
def test_annotate_over_annotate(self):
|
|
author = Author.objects.annotate(
|
|
age_alias=F('age')
|
|
).annotate(
|
|
sum_age=Sum('age_alias')
|
|
).get(name="Adrian Holovaty")
|
|
|
|
other_author = Author.objects.annotate(
|
|
sum_age=Sum('age')
|
|
).get(name="Adrian Holovaty")
|
|
|
|
self.assertEqual(author.sum_age, other_author.sum_age)
|
|
|
|
def test_aggregate_over_aggregate(self):
|
|
msg = "Cannot compute Avg('age'): 'age' is an aggregate"
|
|
with self.assertRaisesMessage(FieldError, msg):
|
|
Author.objects.annotate(
|
|
age_alias=F('age'),
|
|
).aggregate(
|
|
age=Sum(F('age')),
|
|
avg_age=Avg(F('age')),
|
|
)
|
|
|
|
def test_annotated_aggregate_over_annotated_aggregate(self):
|
|
with self.assertRaisesMessage(FieldError, "Cannot compute Sum('id__max'): 'id__max' is an aggregate"):
|
|
Book.objects.annotate(Max('id')).annotate(Sum('id__max'))
|
|
|
|
class MyMax(Max):
|
|
def as_sql(self, compiler, connection):
|
|
self.set_source_expressions(self.get_source_expressions()[0:1])
|
|
return super().as_sql(compiler, connection)
|
|
|
|
with self.assertRaisesMessage(FieldError, "Cannot compute Max('id__max'): 'id__max' is an aggregate"):
|
|
Book.objects.annotate(Max('id')).annotate(my_max=MyMax('id__max', 'price'))
|
|
|
|
def test_multi_arg_aggregate(self):
|
|
class MyMax(Max):
|
|
output_field = DecimalField()
|
|
|
|
def as_sql(self, compiler, connection):
|
|
copy = self.copy()
|
|
copy.set_source_expressions(copy.get_source_expressions()[0:1])
|
|
return super(MyMax, copy).as_sql(compiler, connection)
|
|
|
|
with self.assertRaisesMessage(TypeError, 'Complex aggregates require an alias'):
|
|
Book.objects.aggregate(MyMax('pages', 'price'))
|
|
|
|
with self.assertRaisesMessage(TypeError, 'Complex annotations require an alias'):
|
|
Book.objects.annotate(MyMax('pages', 'price'))
|
|
|
|
Book.objects.aggregate(max_field=MyMax('pages', 'price'))
|
|
|
|
def test_add_implementation(self):
|
|
class MySum(Sum):
|
|
pass
|
|
|
|
# test completely changing how the output is rendered
|
|
def lower_case_function_override(self, compiler, connection):
|
|
sql, params = compiler.compile(self.source_expressions[0])
|
|
substitutions = {'function': self.function.lower(), 'expressions': sql, 'distinct': ''}
|
|
substitutions.update(self.extra)
|
|
return self.template % substitutions, params
|
|
setattr(MySum, 'as_' + connection.vendor, lower_case_function_override)
|
|
|
|
qs = Book.objects.annotate(
|
|
sums=MySum(F('rating') + F('pages') + F('price'), output_field=IntegerField())
|
|
)
|
|
self.assertEqual(str(qs.query).count('sum('), 1)
|
|
b1 = qs.get(pk=self.b4.pk)
|
|
self.assertEqual(b1.sums, 383)
|
|
|
|
# test changing the dict and delegating
|
|
def lower_case_function_super(self, compiler, connection):
|
|
self.extra['function'] = self.function.lower()
|
|
return super(MySum, self).as_sql(compiler, connection)
|
|
setattr(MySum, 'as_' + connection.vendor, lower_case_function_super)
|
|
|
|
qs = Book.objects.annotate(
|
|
sums=MySum(F('rating') + F('pages') + F('price'), output_field=IntegerField())
|
|
)
|
|
self.assertEqual(str(qs.query).count('sum('), 1)
|
|
b1 = qs.get(pk=self.b4.pk)
|
|
self.assertEqual(b1.sums, 383)
|
|
|
|
# test overriding all parts of the template
|
|
def be_evil(self, compiler, connection):
|
|
substitutions = {'function': 'MAX', 'expressions': '2', 'distinct': ''}
|
|
substitutions.update(self.extra)
|
|
return self.template % substitutions, ()
|
|
setattr(MySum, 'as_' + connection.vendor, be_evil)
|
|
|
|
qs = Book.objects.annotate(
|
|
sums=MySum(F('rating') + F('pages') + F('price'), output_field=IntegerField())
|
|
)
|
|
self.assertEqual(str(qs.query).count('MAX('), 1)
|
|
b1 = qs.get(pk=self.b4.pk)
|
|
self.assertEqual(b1.sums, 2)
|
|
|
|
def test_complex_values_aggregation(self):
|
|
max_rating = Book.objects.values('rating').aggregate(
|
|
double_max_rating=Max('rating') + Max('rating'))
|
|
self.assertEqual(max_rating['double_max_rating'], 5 * 2)
|
|
|
|
max_books_per_rating = Book.objects.values('rating').annotate(
|
|
books_per_rating=Count('id') + 5
|
|
).aggregate(Max('books_per_rating'))
|
|
self.assertEqual(
|
|
max_books_per_rating,
|
|
{'books_per_rating__max': 3 + 5})
|
|
|
|
def test_expression_on_aggregation(self):
|
|
qs = Publisher.objects.annotate(
|
|
price_or_median=Greatest(Avg('book__rating', output_field=DecimalField()), Avg('book__price'))
|
|
).filter(price_or_median__gte=F('num_awards')).order_by('num_awards')
|
|
self.assertQuerysetEqual(
|
|
qs, [1, 3, 7, 9], lambda v: v.num_awards)
|
|
|
|
qs2 = Publisher.objects.annotate(
|
|
rating_or_num_awards=Greatest(Avg('book__rating'), F('num_awards'),
|
|
output_field=FloatField())
|
|
).filter(rating_or_num_awards__gt=F('num_awards')).order_by('num_awards')
|
|
self.assertQuerysetEqual(
|
|
qs2, [1, 3], lambda v: v.num_awards)
|
|
|
|
def test_arguments_must_be_expressions(self):
|
|
msg = 'QuerySet.aggregate() received non-expression(s): %s.'
|
|
with self.assertRaisesMessage(TypeError, msg % FloatField()):
|
|
Book.objects.aggregate(FloatField())
|
|
with self.assertRaisesMessage(TypeError, msg % True):
|
|
Book.objects.aggregate(is_book=True)
|
|
with self.assertRaisesMessage(TypeError, msg % ', '.join([str(FloatField()), 'True'])):
|
|
Book.objects.aggregate(FloatField(), Avg('price'), is_book=True)
|
|
|
|
def test_aggregation_subquery_annotation(self):
|
|
"""Subquery annotations are excluded from the GROUP BY if they are
|
|
not explicitly grouped against."""
|
|
latest_book_pubdate_qs = Book.objects.filter(
|
|
publisher=OuterRef('pk')
|
|
).order_by('-pubdate').values('pubdate')[:1]
|
|
publisher_qs = Publisher.objects.annotate(
|
|
latest_book_pubdate=Subquery(latest_book_pubdate_qs),
|
|
).annotate(count=Count('book'))
|
|
with self.assertNumQueries(1) as ctx:
|
|
list(publisher_qs)
|
|
self.assertEqual(ctx[0]['sql'].count('SELECT'), 2)
|
|
# The GROUP BY should not be by alias either.
|
|
self.assertEqual(ctx[0]['sql'].lower().count('latest_book_pubdate'), 1)
|
|
|
|
def test_aggregation_subquery_annotation_exists(self):
|
|
latest_book_pubdate_qs = Book.objects.filter(
|
|
publisher=OuterRef('pk')
|
|
).order_by('-pubdate').values('pubdate')[:1]
|
|
publisher_qs = Publisher.objects.annotate(
|
|
latest_book_pubdate=Subquery(latest_book_pubdate_qs),
|
|
count=Count('book'),
|
|
)
|
|
self.assertTrue(publisher_qs.exists())
|
|
|
|
def test_aggregation_exists_annotation(self):
|
|
published_books = Book.objects.filter(publisher=OuterRef('pk'))
|
|
publisher_qs = Publisher.objects.annotate(
|
|
published_book=Exists(published_books),
|
|
count=Count('book'),
|
|
).values_list('name', flat=True)
|
|
self.assertCountEqual(list(publisher_qs), [
|
|
'Apress',
|
|
'Morgan Kaufmann',
|
|
"Jonno's House of Books",
|
|
'Prentice Hall',
|
|
'Sams',
|
|
])
|
|
|
|
def test_aggregation_subquery_annotation_values(self):
|
|
"""
|
|
Subquery annotations and external aliases are excluded from the GROUP
|
|
BY if they are not selected.
|
|
"""
|
|
books_qs = Book.objects.annotate(
|
|
first_author_the_same_age=Subquery(
|
|
Author.objects.filter(
|
|
age=OuterRef('contact__friends__age'),
|
|
).order_by('age').values('id')[:1],
|
|
)
|
|
).filter(
|
|
publisher=self.p1,
|
|
first_author_the_same_age__isnull=False,
|
|
).annotate(
|
|
min_age=Min('contact__friends__age'),
|
|
).values('name', 'min_age').order_by('name')
|
|
self.assertEqual(list(books_qs), [
|
|
{'name': 'Practical Django Projects', 'min_age': 34},
|
|
{
|
|
'name': 'The Definitive Guide to Django: Web Development Done Right',
|
|
'min_age': 29,
|
|
},
|
|
])
|
|
|
|
def test_aggregation_subquery_annotation_values_collision(self):
|
|
books_rating_qs = Book.objects.filter(
|
|
publisher=OuterRef('pk'),
|
|
price=Decimal('29.69'),
|
|
).values('rating')
|
|
publisher_qs = Publisher.objects.filter(
|
|
book__contact__age__gt=20,
|
|
name=self.p1.name,
|
|
).annotate(
|
|
rating=Subquery(books_rating_qs),
|
|
contacts_count=Count('book__contact'),
|
|
).values('rating').annotate(total_count=Count('rating'))
|
|
self.assertEqual(list(publisher_qs), [
|
|
{'rating': 4.0, 'total_count': 2},
|
|
])
|
|
|
|
@skipUnlessDBFeature('supports_subqueries_in_group_by')
|
|
def test_aggregation_subquery_annotation_multivalued(self):
|
|
"""
|
|
Subquery annotations must be included in the GROUP BY if they use
|
|
potentially multivalued relations (contain the LOOKUP_SEP).
|
|
"""
|
|
subquery_qs = Author.objects.filter(
|
|
pk=OuterRef('pk'),
|
|
book__name=OuterRef('book__name'),
|
|
).values('pk')
|
|
author_qs = Author.objects.annotate(
|
|
subquery_id=Subquery(subquery_qs),
|
|
).annotate(count=Count('book'))
|
|
self.assertEqual(author_qs.count(), Author.objects.count())
|
|
|
|
def test_aggregation_order_by_not_selected_annotation_values(self):
|
|
result_asc = [
|
|
self.b4.pk,
|
|
self.b3.pk,
|
|
self.b1.pk,
|
|
self.b2.pk,
|
|
self.b5.pk,
|
|
self.b6.pk,
|
|
]
|
|
result_desc = result_asc[::-1]
|
|
tests = [
|
|
('min_related_age', result_asc),
|
|
('-min_related_age', result_desc),
|
|
(F('min_related_age'), result_asc),
|
|
(F('min_related_age').asc(), result_asc),
|
|
(F('min_related_age').desc(), result_desc),
|
|
]
|
|
for ordering, expected_result in tests:
|
|
with self.subTest(ordering=ordering):
|
|
books_qs = Book.objects.annotate(
|
|
min_age=Min('authors__age'),
|
|
).annotate(
|
|
min_related_age=Coalesce('min_age', 'contact__age'),
|
|
).order_by(ordering).values_list('pk', flat=True)
|
|
self.assertEqual(list(books_qs), expected_result)
|
|
|
|
@skipUnlessDBFeature('supports_subqueries_in_group_by')
|
|
def test_group_by_subquery_annotation(self):
|
|
"""
|
|
Subquery annotations are included in the GROUP BY if they are
|
|
grouped against.
|
|
"""
|
|
long_books_count_qs = Book.objects.filter(
|
|
publisher=OuterRef('pk'),
|
|
pages__gt=400,
|
|
).values(
|
|
'publisher'
|
|
).annotate(count=Count('pk')).values('count')
|
|
groups = [
|
|
Subquery(long_books_count_qs),
|
|
long_books_count_qs,
|
|
long_books_count_qs.query,
|
|
]
|
|
for group in groups:
|
|
with self.subTest(group=group.__class__.__name__):
|
|
long_books_count_breakdown = Publisher.objects.values_list(
|
|
group,
|
|
).annotate(total=Count('*'))
|
|
self.assertEqual(dict(long_books_count_breakdown), {None: 1, 1: 4})
|
|
|
|
@skipUnlessDBFeature('supports_subqueries_in_group_by')
|
|
def test_group_by_exists_annotation(self):
|
|
"""
|
|
Exists annotations are included in the GROUP BY if they are
|
|
grouped against.
|
|
"""
|
|
long_books_qs = Book.objects.filter(
|
|
publisher=OuterRef('pk'),
|
|
pages__gt=800,
|
|
)
|
|
has_long_books_breakdown = Publisher.objects.values_list(
|
|
Exists(long_books_qs),
|
|
).annotate(total=Count('*'))
|
|
self.assertEqual(dict(has_long_books_breakdown), {True: 2, False: 3})
|
|
|
|
@skipUnlessDBFeature('supports_subqueries_in_group_by')
|
|
def test_aggregation_subquery_annotation_related_field(self):
|
|
publisher = Publisher.objects.create(name=self.a9.name, num_awards=2)
|
|
book = Book.objects.create(
|
|
isbn='159059999', name='Test book.', pages=819, rating=2.5,
|
|
price=Decimal('14.44'), contact=self.a9, publisher=publisher,
|
|
pubdate=datetime.date(2019, 12, 6),
|
|
)
|
|
book.authors.add(self.a5, self.a6, self.a7)
|
|
books_qs = Book.objects.annotate(
|
|
contact_publisher=Subquery(
|
|
Publisher.objects.filter(
|
|
pk=OuterRef('publisher'),
|
|
name=OuterRef('contact__name'),
|
|
).values('name')[:1],
|
|
)
|
|
).filter(
|
|
contact_publisher__isnull=False,
|
|
).annotate(count=Count('authors'))
|
|
self.assertSequenceEqual(books_qs, [book])
|
|
# FIXME: GROUP BY doesn't need to include a subquery with
|
|
# non-multivalued JOINs, see Col.possibly_multivalued (refs #31150):
|
|
# with self.assertNumQueries(1) as ctx:
|
|
# self.assertSequenceEqual(books_qs, [book])
|
|
# self.assertEqual(ctx[0]['sql'].count('SELECT'), 2)
|
|
|
|
@skipUnlessDBFeature('supports_subqueries_in_group_by')
|
|
def test_aggregation_nested_subquery_outerref(self):
|
|
publisher_with_same_name = Publisher.objects.filter(
|
|
id__in=Subquery(
|
|
Publisher.objects.filter(
|
|
name=OuterRef(OuterRef('publisher__name')),
|
|
).values('id'),
|
|
),
|
|
).values(publisher_count=Count('id'))[:1]
|
|
books_breakdown = Book.objects.annotate(
|
|
publisher_count=Subquery(publisher_with_same_name),
|
|
authors_count=Count('authors'),
|
|
).values_list('publisher_count', flat=True)
|
|
self.assertSequenceEqual(books_breakdown, [1] * 6)
|
|
|
|
def test_filter_in_subquery_or_aggregation(self):
|
|
"""
|
|
Filtering against an aggregate requires the usage of the HAVING clause.
|
|
|
|
If such a filter is unionized to a non-aggregate one the latter will
|
|
also need to be moved to the HAVING clause and have its grouping
|
|
columns used in the GROUP BY.
|
|
|
|
When this is done with a subquery the specialized logic in charge of
|
|
using outer reference columns to group should be used instead of the
|
|
subquery itself as the latter might return multiple rows.
|
|
"""
|
|
authors = Author.objects.annotate(
|
|
Count('book'),
|
|
).filter(
|
|
Q(book__count__gt=0) | Q(pk__in=Book.objects.values('authors'))
|
|
)
|
|
self.assertQuerysetEqual(authors, Author.objects.all(), ordered=False)
|
|
|
|
def test_aggregation_random_ordering(self):
|
|
"""Random() is not included in the GROUP BY when used for ordering."""
|
|
authors = Author.objects.annotate(contact_count=Count('book')).order_by('?')
|
|
self.assertQuerysetEqual(authors, [
|
|
('Adrian Holovaty', 1),
|
|
('Jacob Kaplan-Moss', 1),
|
|
('Brad Dayley', 1),
|
|
('James Bennett', 1),
|
|
('Jeffrey Forcier', 1),
|
|
('Paul Bissex', 1),
|
|
('Wesley J. Chun', 1),
|
|
('Stuart Russell', 1),
|
|
('Peter Norvig', 2),
|
|
], lambda a: (a.name, a.contact_count), ordered=False)
|
|
|
|
def test_empty_result_optimization(self):
|
|
with self.assertNumQueries(0):
|
|
self.assertEqual(
|
|
Publisher.objects.none().aggregate(
|
|
sum_awards=Sum('num_awards'),
|
|
books_count=Count('book'),
|
|
), {
|
|
'sum_awards': None,
|
|
'books_count': 0,
|
|
}
|
|
)
|
|
# Expression without empty_result_set_value forces queries to be
|
|
# executed even if they would return an empty result set.
|
|
raw_books_count = Func('book', function='COUNT')
|
|
raw_books_count.contains_aggregate = True
|
|
with self.assertNumQueries(1):
|
|
self.assertEqual(
|
|
Publisher.objects.none().aggregate(
|
|
sum_awards=Sum('num_awards'),
|
|
books_count=raw_books_count,
|
|
), {
|
|
'sum_awards': None,
|
|
'books_count': 0,
|
|
}
|
|
)
|
|
|
|
def test_coalesced_empty_result_set(self):
|
|
with self.assertNumQueries(0):
|
|
self.assertEqual(
|
|
Publisher.objects.none().aggregate(
|
|
sum_awards=Coalesce(Sum('num_awards'), 0),
|
|
)['sum_awards'],
|
|
0,
|
|
)
|
|
# Multiple expressions.
|
|
with self.assertNumQueries(0):
|
|
self.assertEqual(
|
|
Publisher.objects.none().aggregate(
|
|
sum_awards=Coalesce(Sum('num_awards'), None, 0),
|
|
)['sum_awards'],
|
|
0,
|
|
)
|
|
# Nested coalesce.
|
|
with self.assertNumQueries(0):
|
|
self.assertEqual(
|
|
Publisher.objects.none().aggregate(
|
|
sum_awards=Coalesce(Coalesce(Sum('num_awards'), None), 0),
|
|
)['sum_awards'],
|
|
0,
|
|
)
|
|
# Expression coalesce.
|
|
with self.assertNumQueries(1):
|
|
self.assertIsInstance(
|
|
Store.objects.none().aggregate(
|
|
latest_opening=Coalesce(
|
|
Max('original_opening'), RawSQL('CURRENT_TIMESTAMP', []),
|
|
),
|
|
)['latest_opening'],
|
|
datetime.datetime,
|
|
)
|
|
|
|
def test_aggregation_default_unsupported_by_count(self):
|
|
msg = 'Count does not allow default.'
|
|
with self.assertRaisesMessage(TypeError, msg):
|
|
Count('age', default=0)
|
|
|
|
def test_aggregation_default_unset(self):
|
|
for Aggregate in [Avg, Max, Min, StdDev, Sum, Variance]:
|
|
with self.subTest(Aggregate):
|
|
result = Author.objects.filter(age__gt=100).aggregate(
|
|
value=Aggregate('age'),
|
|
)
|
|
self.assertIsNone(result['value'])
|
|
|
|
def test_aggregation_default_zero(self):
|
|
for Aggregate in [Avg, Max, Min, StdDev, Sum, Variance]:
|
|
with self.subTest(Aggregate):
|
|
result = Author.objects.filter(age__gt=100).aggregate(
|
|
value=Aggregate('age', default=0),
|
|
)
|
|
self.assertEqual(result['value'], 0)
|
|
|
|
def test_aggregation_default_integer(self):
|
|
for Aggregate in [Avg, Max, Min, StdDev, Sum, Variance]:
|
|
with self.subTest(Aggregate):
|
|
result = Author.objects.filter(age__gt=100).aggregate(
|
|
value=Aggregate('age', default=21),
|
|
)
|
|
self.assertEqual(result['value'], 21)
|
|
|
|
def test_aggregation_default_expression(self):
|
|
for Aggregate in [Avg, Max, Min, StdDev, Sum, Variance]:
|
|
with self.subTest(Aggregate):
|
|
result = Author.objects.filter(age__gt=100).aggregate(
|
|
value=Aggregate('age', default=Value(5) * Value(7)),
|
|
)
|
|
self.assertEqual(result['value'], 35)
|
|
|
|
def test_aggregation_default_group_by(self):
|
|
qs = Publisher.objects.values('name').annotate(
|
|
books=Count('book'),
|
|
pages=Sum('book__pages', default=0),
|
|
).filter(books=0)
|
|
self.assertSequenceEqual(
|
|
qs,
|
|
[{'name': "Jonno's House of Books", 'books': 0, 'pages': 0}],
|
|
)
|
|
|
|
def test_aggregation_default_compound_expression(self):
|
|
# Scale rating to a percentage; default to 50% if no books published.
|
|
formula = Avg('book__rating', default=2.5) * 20.0
|
|
queryset = Publisher.objects.annotate(rating=formula).order_by('name')
|
|
self.assertSequenceEqual(queryset.values('name', 'rating'), [
|
|
{'name': 'Apress', 'rating': 85.0},
|
|
{'name': "Jonno's House of Books", 'rating': 50.0},
|
|
{'name': 'Morgan Kaufmann', 'rating': 100.0},
|
|
{'name': 'Prentice Hall', 'rating': 80.0},
|
|
{'name': 'Sams', 'rating': 60.0},
|
|
])
|
|
|
|
def test_aggregation_default_using_time_from_python(self):
|
|
expr = Min(
|
|
'store__friday_night_closing',
|
|
filter=~Q(store__name='Amazon.com'),
|
|
default=datetime.time(17),
|
|
)
|
|
if connection.vendor == 'mysql':
|
|
# Workaround for #30224 for MySQL 8.0+ & MariaDB.
|
|
expr.default = Cast(expr.default, TimeField())
|
|
queryset = Book.objects.annotate(oldest_store_opening=expr).order_by('isbn')
|
|
self.assertSequenceEqual(queryset.values('isbn', 'oldest_store_opening'), [
|
|
{'isbn': '013235613', 'oldest_store_opening': datetime.time(21, 30)},
|
|
{'isbn': '013790395', 'oldest_store_opening': datetime.time(23, 59, 59)},
|
|
{'isbn': '067232959', 'oldest_store_opening': datetime.time(17)},
|
|
{'isbn': '155860191', 'oldest_store_opening': datetime.time(21, 30)},
|
|
{'isbn': '159059725', 'oldest_store_opening': datetime.time(23, 59, 59)},
|
|
{'isbn': '159059996', 'oldest_store_opening': datetime.time(21, 30)},
|
|
])
|
|
|
|
def test_aggregation_default_using_time_from_database(self):
|
|
now = timezone.now().astimezone(timezone.utc)
|
|
expr = Min(
|
|
'store__friday_night_closing',
|
|
filter=~Q(store__name='Amazon.com'),
|
|
default=TruncHour(NowUTC(), output_field=TimeField()),
|
|
)
|
|
queryset = Book.objects.annotate(oldest_store_opening=expr).order_by('isbn')
|
|
self.assertSequenceEqual(queryset.values('isbn', 'oldest_store_opening'), [
|
|
{'isbn': '013235613', 'oldest_store_opening': datetime.time(21, 30)},
|
|
{'isbn': '013790395', 'oldest_store_opening': datetime.time(23, 59, 59)},
|
|
{'isbn': '067232959', 'oldest_store_opening': datetime.time(now.hour)},
|
|
{'isbn': '155860191', 'oldest_store_opening': datetime.time(21, 30)},
|
|
{'isbn': '159059725', 'oldest_store_opening': datetime.time(23, 59, 59)},
|
|
{'isbn': '159059996', 'oldest_store_opening': datetime.time(21, 30)},
|
|
])
|
|
|
|
def test_aggregation_default_using_date_from_python(self):
|
|
expr = Min('book__pubdate', default=datetime.date(1970, 1, 1))
|
|
if connection.vendor == 'mysql':
|
|
# Workaround for #30224 for MySQL 5.7+ & MariaDB.
|
|
expr.default = Cast(expr.default, DateField())
|
|
queryset = Publisher.objects.annotate(earliest_pubdate=expr).order_by('name')
|
|
self.assertSequenceEqual(queryset.values('name', 'earliest_pubdate'), [
|
|
{'name': 'Apress', 'earliest_pubdate': datetime.date(2007, 12, 6)},
|
|
{'name': "Jonno's House of Books", 'earliest_pubdate': datetime.date(1970, 1, 1)},
|
|
{'name': 'Morgan Kaufmann', 'earliest_pubdate': datetime.date(1991, 10, 15)},
|
|
{'name': 'Prentice Hall', 'earliest_pubdate': datetime.date(1995, 1, 15)},
|
|
{'name': 'Sams', 'earliest_pubdate': datetime.date(2008, 3, 3)},
|
|
])
|
|
|
|
def test_aggregation_default_using_date_from_database(self):
|
|
now = timezone.now().astimezone(timezone.utc)
|
|
expr = Min('book__pubdate', default=TruncDate(NowUTC()))
|
|
queryset = Publisher.objects.annotate(earliest_pubdate=expr).order_by('name')
|
|
self.assertSequenceEqual(queryset.values('name', 'earliest_pubdate'), [
|
|
{'name': 'Apress', 'earliest_pubdate': datetime.date(2007, 12, 6)},
|
|
{'name': "Jonno's House of Books", 'earliest_pubdate': now.date()},
|
|
{'name': 'Morgan Kaufmann', 'earliest_pubdate': datetime.date(1991, 10, 15)},
|
|
{'name': 'Prentice Hall', 'earliest_pubdate': datetime.date(1995, 1, 15)},
|
|
{'name': 'Sams', 'earliest_pubdate': datetime.date(2008, 3, 3)},
|
|
])
|
|
|
|
def test_aggregation_default_using_datetime_from_python(self):
|
|
expr = Min(
|
|
'store__original_opening',
|
|
filter=~Q(store__name='Amazon.com'),
|
|
default=datetime.datetime(1970, 1, 1),
|
|
)
|
|
if connection.vendor == 'mysql':
|
|
# Workaround for #30224 for MySQL 8.0+ & MariaDB.
|
|
expr.default = Cast(expr.default, DateTimeField())
|
|
queryset = Book.objects.annotate(oldest_store_opening=expr).order_by('isbn')
|
|
self.assertSequenceEqual(queryset.values('isbn', 'oldest_store_opening'), [
|
|
{'isbn': '013235613', 'oldest_store_opening': datetime.datetime(1945, 4, 25, 16, 24, 14)},
|
|
{'isbn': '013790395', 'oldest_store_opening': datetime.datetime(2001, 3, 15, 11, 23, 37)},
|
|
{'isbn': '067232959', 'oldest_store_opening': datetime.datetime(1970, 1, 1)},
|
|
{'isbn': '155860191', 'oldest_store_opening': datetime.datetime(1945, 4, 25, 16, 24, 14)},
|
|
{'isbn': '159059725', 'oldest_store_opening': datetime.datetime(2001, 3, 15, 11, 23, 37)},
|
|
{'isbn': '159059996', 'oldest_store_opening': datetime.datetime(1945, 4, 25, 16, 24, 14)},
|
|
])
|
|
|
|
def test_aggregation_default_using_datetime_from_database(self):
|
|
now = timezone.now().astimezone(timezone.utc)
|
|
expr = Min(
|
|
'store__original_opening',
|
|
filter=~Q(store__name='Amazon.com'),
|
|
default=TruncHour(NowUTC(), output_field=DateTimeField()),
|
|
)
|
|
queryset = Book.objects.annotate(oldest_store_opening=expr).order_by('isbn')
|
|
self.assertSequenceEqual(queryset.values('isbn', 'oldest_store_opening'), [
|
|
{'isbn': '013235613', 'oldest_store_opening': datetime.datetime(1945, 4, 25, 16, 24, 14)},
|
|
{'isbn': '013790395', 'oldest_store_opening': datetime.datetime(2001, 3, 15, 11, 23, 37)},
|
|
{'isbn': '067232959', 'oldest_store_opening': now.replace(minute=0, second=0, microsecond=0, tzinfo=None)},
|
|
{'isbn': '155860191', 'oldest_store_opening': datetime.datetime(1945, 4, 25, 16, 24, 14)},
|
|
{'isbn': '159059725', 'oldest_store_opening': datetime.datetime(2001, 3, 15, 11, 23, 37)},
|
|
{'isbn': '159059996', 'oldest_store_opening': datetime.datetime(1945, 4, 25, 16, 24, 14)},
|
|
])
|
|
|
|
def test_aggregation_default_using_duration_from_python(self):
|
|
result = Publisher.objects.filter(num_awards__gt=3).aggregate(
|
|
value=Sum('duration', default=datetime.timedelta(0)),
|
|
)
|
|
self.assertEqual(result['value'], datetime.timedelta(0))
|
|
|
|
def test_aggregation_default_using_duration_from_database(self):
|
|
result = Publisher.objects.filter(num_awards__gt=3).aggregate(
|
|
value=Sum('duration', default=Now() - Now()),
|
|
)
|
|
self.assertEqual(result['value'], datetime.timedelta(0))
|
|
|
|
def test_aggregation_default_using_decimal_from_python(self):
|
|
result = Book.objects.filter(rating__lt=3.0).aggregate(
|
|
value=Sum('price', default=Decimal('0.00')),
|
|
)
|
|
self.assertEqual(result['value'], Decimal('0.00'))
|
|
|
|
def test_aggregation_default_using_decimal_from_database(self):
|
|
result = Book.objects.filter(rating__lt=3.0).aggregate(
|
|
value=Sum('price', default=Pi()),
|
|
)
|
|
self.assertAlmostEqual(result['value'], Decimal.from_float(math.pi), places=6)
|
|
|
|
def test_aggregation_default_passed_another_aggregate(self):
|
|
result = Book.objects.aggregate(
|
|
value=Sum('price', filter=Q(rating__lt=3.0), default=Avg('pages') / 10.0),
|
|
)
|
|
self.assertAlmostEqual(result['value'], Decimal('61.72'), places=2)
|
|
|
|
def test_exists_none_with_aggregate(self):
|
|
qs = Book.objects.all().annotate(
|
|
count=Count('id'),
|
|
exists=Exists(Author.objects.none()),
|
|
)
|
|
self.assertEqual(len(qs), 6)
|
|
|
|
def test_exists_extra_where_with_aggregate(self):
|
|
qs = Book.objects.all().annotate(
|
|
count=Count('id'),
|
|
exists=Exists(Author.objects.extra(where=['1=0'])),
|
|
)
|
|
self.assertEqual(len(qs), 6)
|