mirror of
https://github.com/django/django.git
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9d700322b3
* override_settings may now be imported from django.test * removed Approximate from django.test * updated documentation for things importable from django.test Thanks akaariai for the suggestion.
656 lines
24 KiB
Python
656 lines
24 KiB
Python
from __future__ import unicode_literals
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import datetime
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from decimal import Decimal
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import re
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from django.db import connection
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from django.db.models import Avg, Sum, Count, Max, Min
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from django.test import TestCase
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from django.test.utils import Approximate
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from django.test.utils import CaptureQueriesContext
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from .models import Author, Publisher, Book, Store
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class BaseAggregateTestCase(TestCase):
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fixtures = ["aggregation.json"]
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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_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(len(vals), 1)
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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(len(vals), 1)
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self.assertAlmostEqual(vals["friends__age__avg"], 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(len(vals), 1)
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self.assertAlmostEqual(vals["authors__age__avg"], 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(len(vals), 1)
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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(len(vals), 1)
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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(len(vals), 1)
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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(len(vals), 1)
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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(len(vals), 1)
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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(len(vals), 1)
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self.assertAlmostEqual(vals["amazon_mean"], 4.08, places=2)
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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=1)
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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_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=1).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": 1,
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"id": 1,
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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": 1,
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"rating": 4.5,
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}
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]
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)
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books = Book.objects.filter(pk=1).annotate(mean_age=Avg('authors__age')).values('pk', 'isbn', 'mean_age')
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self.assertEqual(
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list(books), [
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{
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"pk": 1,
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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=1).annotate(mean_age=Avg("authors__age")).values("name")
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self.assertEqual(
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list(books), [
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{
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"name": "The Definitive Guide to Django: Web Development Done Right"
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}
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]
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)
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books = Book.objects.filter(pk=1).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": 1,
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"id": 1,
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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": 1,
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"rating": 4.5,
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}
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]
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)
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books = Book.objects.values("rating").annotate(n_authors=Count("authors__id"), mean_age=Avg("authors__age")).order_by("rating")
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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,
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"mean_age": 45.0,
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},
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{
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"rating": 4.0,
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"n_authors": 6,
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"mean_age": Approximate(37.16, places=1)
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},
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{
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"rating": 4.5,
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"n_authors": 2,
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"mean_age": 34.5,
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},
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{
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"rating": 5.0,
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"n_authors": 1,
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"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.assertEqual(len(authors), 9)
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self.assertQuerysetEqual(
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authors, [
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('Adrian Holovaty', 32.0),
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('Brad Dayley', None),
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('Jacob Kaplan-Moss', 29.5),
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('James Bennett', 34.0),
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('Jeffrey Forcier', 27.0),
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('Paul Bissex', 31.0),
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('Peter Norvig', 46.0),
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('Stuart Russell', 57.0),
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('Wesley J. Chun', Approximate(33.66, places=1))
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],
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lambda a: (a.name, a.friends__age__avg)
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)
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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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vals = Book.objects.aggregate(Count("rating", distinct=True))
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self.assertEqual(vals, {"rating__count": 4})
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def test_fkey_aggregate(self):
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explicit = list(Author.objects.annotate(Count('book__id')))
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implicit = list(Author.objects.annotate(Count('book')))
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self.assertEqual(explicit, implicit)
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def test_annotate_ordering(self):
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books = Book.objects.values('rating').annotate(oldest=Max('authors__age')).order_by('oldest', 'rating')
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self.assertEqual(
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list(books), [
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{
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"rating": 4.5,
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"oldest": 35,
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},
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{
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"rating": 3.0,
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"oldest": 45
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},
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{
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"rating": 4.0,
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"oldest": 57,
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},
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{
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"rating": 5.0,
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"oldest": 57,
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}
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]
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)
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books = Book.objects.values("rating").annotate(oldest=Max("authors__age")).order_by("-oldest", "-rating")
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self.assertEqual(
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list(books), [
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{
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"rating": 5.0,
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"oldest": 57,
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},
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{
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"rating": 4.0,
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"oldest": 57,
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},
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{
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"rating": 3.0,
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"oldest": 45,
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},
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{
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"rating": 4.5,
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"oldest": 35,
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}
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]
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)
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def test_aggregate_annotation(self):
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vals = Book.objects.annotate(num_authors=Count("authors__id")).aggregate(Avg("num_authors"))
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self.assertEqual(vals, {"num_authors__avg": Approximate(1.66, places=1)})
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def test_filtering(self):
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p = Publisher.objects.create(name='Expensive Publisher', num_awards=0)
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Book.objects.create(
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name='ExpensiveBook1',
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pages=1,
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isbn='111',
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rating=3.5,
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price=Decimal("1000"),
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publisher=p,
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contact_id=1,
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pubdate=datetime.date(2008,12,1)
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)
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Book.objects.create(
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name='ExpensiveBook2',
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pages=1,
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isbn='222',
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rating=4.0,
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price=Decimal("1000"),
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publisher=p,
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contact_id=1,
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pubdate=datetime.date(2008,12,2)
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)
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Book.objects.create(
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name='ExpensiveBook3',
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pages=1,
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isbn='333',
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rating=4.5,
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price=Decimal("35"),
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publisher=p,
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contact_id=1,
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pubdate=datetime.date(2008,12,3)
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)
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publishers = Publisher.objects.annotate(num_books=Count("book__id")).filter(num_books__gt=1).order_by("pk")
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self.assertQuerysetEqual(
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publishers, [
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"Apress",
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"Prentice Hall",
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"Expensive Publisher",
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],
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lambda p: p.name,
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)
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publishers = Publisher.objects.filter(book__price__lt=Decimal("40.0")).order_by("pk")
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self.assertQuerysetEqual(
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publishers, [
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"Apress",
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"Apress",
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"Sams",
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"Prentice Hall",
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"Expensive Publisher",
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],
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lambda p: p.name
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)
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publishers = Publisher.objects.annotate(num_books=Count("book__id")).filter(num_books__gt=1, book__price__lt=Decimal("40.0")).order_by("pk")
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self.assertQuerysetEqual(
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publishers, [
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"Apress",
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"Prentice Hall",
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"Expensive Publisher",
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],
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lambda p: p.name,
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)
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publishers = Publisher.objects.filter(book__price__lt=Decimal("40.0")).annotate(num_books=Count("book__id")).filter(num_books__gt=1).order_by("pk")
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self.assertQuerysetEqual(
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publishers, [
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"Apress",
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],
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lambda p: p.name
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)
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publishers = Publisher.objects.annotate(num_books=Count("book")).filter(num_books__range=[1, 3]).order_by("pk")
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self.assertQuerysetEqual(
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publishers, [
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"Apress",
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"Sams",
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"Prentice Hall",
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"Morgan Kaufmann",
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"Expensive Publisher",
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],
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lambda p: p.name
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)
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publishers = Publisher.objects.annotate(num_books=Count("book")).filter(num_books__range=[1, 2]).order_by("pk")
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self.assertQuerysetEqual(
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publishers, [
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"Apress",
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"Sams",
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"Prentice Hall",
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"Morgan Kaufmann",
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],
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lambda p: p.name
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)
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publishers = Publisher.objects.annotate(num_books=Count("book")).filter(num_books__in=[1, 3]).order_by("pk")
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self.assertQuerysetEqual(
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publishers, [
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"Sams",
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"Morgan Kaufmann",
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"Expensive Publisher",
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],
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lambda p: p.name,
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)
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publishers = Publisher.objects.annotate(num_books=Count("book")).filter(num_books__isnull=True)
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self.assertEqual(len(publishers), 0)
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def test_annotation(self):
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vals = Author.objects.filter(pk=1).aggregate(Count("friends__id"))
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self.assertEqual(vals, {"friends__id__count": 2})
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books = Book.objects.annotate(num_authors=Count("authors__name")).filter(num_authors__ge=2).order_by("pk")
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self.assertQuerysetEqual(
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books, [
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"The Definitive Guide to Django: Web Development Done Right",
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"Artificial Intelligence: A Modern Approach",
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],
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lambda b: b.name
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)
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authors = Author.objects.annotate(num_friends=Count("friends__id", distinct=True)).filter(num_friends=0).order_by("pk")
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self.assertQuerysetEqual(
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authors, [
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"Brad Dayley",
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],
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lambda a: a.name
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)
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publishers = Publisher.objects.annotate(num_books=Count("book__id")).filter(num_books__gt=1).order_by("pk")
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self.assertQuerysetEqual(
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publishers, [
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"Apress",
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"Prentice Hall",
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],
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lambda p: p.name
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)
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publishers = Publisher.objects.filter(book__price__lt=Decimal("40.0")).annotate(num_books=Count("book__id")).filter(num_books__gt=1)
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self.assertQuerysetEqual(
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publishers, [
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"Apress",
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],
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lambda p: p.name
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)
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books = Book.objects.annotate(num_authors=Count("authors__id")).filter(authors__name__contains="Norvig", num_authors__gt=1)
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self.assertQuerysetEqual(
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books, [
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"Artificial Intelligence: A Modern Approach",
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],
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lambda b: b.name
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)
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def test_more_aggregation(self):
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a = Author.objects.get(name__contains='Norvig')
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b = Book.objects.get(name__contains='Done Right')
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b.authors.add(a)
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b.save()
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vals = Book.objects.annotate(num_authors=Count("authors__id")).filter(authors__name__contains="Norvig", num_authors__gt=1).aggregate(Avg("rating"))
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self.assertEqual(vals, {"rating__avg": 4.25})
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def test_even_more_aggregate(self):
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publishers = Publisher.objects.annotate(earliest_book=Min("book__pubdate")).exclude(earliest_book=None).order_by("earliest_book").values()
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self.assertEqual(
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list(publishers), [
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{
|
|
'earliest_book': datetime.date(1991, 10, 15),
|
|
'num_awards': 9,
|
|
'id': 4,
|
|
'name': 'Morgan Kaufmann'
|
|
},
|
|
{
|
|
'earliest_book': datetime.date(1995, 1, 15),
|
|
'num_awards': 7,
|
|
'id': 3,
|
|
'name': 'Prentice Hall'
|
|
},
|
|
{
|
|
'earliest_book': datetime.date(2007, 12, 6),
|
|
'num_awards': 3,
|
|
'id': 1,
|
|
'name': 'Apress'
|
|
},
|
|
{
|
|
'earliest_book': datetime.date(2008, 3, 3),
|
|
'num_awards': 1,
|
|
'id': 2,
|
|
'name': 'Sams'
|
|
}
|
|
]
|
|
)
|
|
|
|
vals = Store.objects.aggregate(Max("friday_night_closing"), Min("original_opening"))
|
|
self.assertEqual(
|
|
vals,
|
|
{
|
|
"friday_night_closing__max": datetime.time(23, 59, 59),
|
|
"original_opening__min": datetime.datetime(1945, 4, 25, 16, 24, 14),
|
|
}
|
|
)
|
|
|
|
def test_annotate_values_list(self):
|
|
books = Book.objects.filter(pk=1).annotate(mean_age=Avg("authors__age")).values_list("pk", "isbn", "mean_age")
|
|
self.assertEqual(
|
|
list(books), [
|
|
(1, "159059725", 34.5),
|
|
]
|
|
)
|
|
|
|
books = Book.objects.filter(pk=1).annotate(mean_age=Avg("authors__age")).values_list("isbn")
|
|
self.assertEqual(
|
|
list(books), [
|
|
('159059725',)
|
|
]
|
|
)
|
|
|
|
books = Book.objects.filter(pk=1).annotate(mean_age=Avg("authors__age")).values_list("mean_age")
|
|
self.assertEqual(
|
|
list(books), [
|
|
(34.5,)
|
|
]
|
|
)
|
|
|
|
books = Book.objects.filter(pk=1).annotate(mean_age=Avg("authors__age")).values_list("mean_age", flat=True)
|
|
self.assertEqual(list(books), [34.5])
|
|
|
|
books = Book.objects.values_list("price").annotate(count=Count("price")).order_by("-count", "price")
|
|
self.assertEqual(
|
|
list(books), [
|
|
(Decimal("29.69"), 2),
|
|
(Decimal('23.09'), 1),
|
|
(Decimal('30'), 1),
|
|
(Decimal('75'), 1),
|
|
(Decimal('82.8'), 1),
|
|
]
|
|
)
|
|
|
|
def test_dates_with_aggregation(self):
|
|
"""
|
|
Test that .dates() returns a distinct set of dates when applied to a
|
|
QuerySet with aggregation.
|
|
|
|
Refs #18056. Previously, .dates() would return distinct (date_kind,
|
|
aggregation) sets, in this case (year, num_authors), so 2008 would be
|
|
returned twice because there are books from 2008 with a different
|
|
number of authors.
|
|
"""
|
|
dates = Book.objects.annotate(num_authors=Count("authors")).dates('pubdate', 'year')
|
|
self.assertQuerysetEqual(
|
|
dates, [
|
|
"datetime.date(1991, 1, 1)",
|
|
"datetime.date(1995, 1, 1)",
|
|
"datetime.date(2007, 1, 1)",
|
|
"datetime.date(2008, 1, 1)"
|
|
]
|
|
)
|
|
|
|
def test_values_aggregation(self):
|
|
# Refs #20782
|
|
max_rating = Book.objects.values('rating').aggregate(max_rating=Max('rating'))
|
|
self.assertEqual(max_rating['max_rating'], 5)
|
|
max_books_per_rating = Book.objects.values('rating').annotate(
|
|
books_per_rating=Count('id')
|
|
).aggregate(Max('books_per_rating'))
|
|
self.assertEqual(
|
|
max_books_per_rating,
|
|
{'books_per_rating__max': 3})
|
|
|
|
def test_ticket17424(self):
|
|
"""
|
|
Check that doing exclude() on a foreign model after annotate()
|
|
doesn't crash.
|
|
"""
|
|
all_books = list(Book.objects.values_list('pk', flat=True).order_by('pk'))
|
|
annotated_books = Book.objects.order_by('pk').annotate(one=Count("id"))
|
|
|
|
# The value doesn't matter, we just need any negative
|
|
# constraint on a related model that's a noop.
|
|
excluded_books = annotated_books.exclude(publisher__name="__UNLIKELY_VALUE__")
|
|
|
|
# Try to generate query tree
|
|
str(excluded_books.query)
|
|
|
|
self.assertQuerysetEqual(excluded_books, all_books, lambda x: x.pk)
|
|
|
|
# Check internal state
|
|
self.assertIsNone(annotated_books.query.alias_map["aggregation_book"].join_type)
|
|
self.assertIsNone(excluded_books.query.alias_map["aggregation_book"].join_type)
|
|
|
|
def test_ticket12886(self):
|
|
"""
|
|
Check that aggregation over sliced queryset works correctly.
|
|
"""
|
|
qs = Book.objects.all().order_by('-rating')[0:3]
|
|
vals = qs.aggregate(average_top3_rating=Avg('rating'))['average_top3_rating']
|
|
self.assertAlmostEqual(vals, 4.5, places=2)
|
|
|
|
def test_ticket11881(self):
|
|
"""
|
|
Check that subqueries do not needlessly contain ORDER BY, SELECT FOR UPDATE
|
|
or select_related() stuff.
|
|
"""
|
|
qs = Book.objects.all().select_for_update().order_by(
|
|
'pk').select_related('publisher').annotate(max_pk=Max('pk'))
|
|
with CaptureQueriesContext(connection) as captured_queries:
|
|
qs.aggregate(avg_pk=Avg('max_pk'))
|
|
self.assertEqual(len(captured_queries), 1)
|
|
qstr = captured_queries[0]['sql'].lower()
|
|
self.assertNotIn('for update', qstr)
|
|
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(forced_ordering).lower()]
|
|
)
|
|
else:
|
|
self.assertNotIn('order by', qstr)
|
|
self.assertEqual(qstr.count(' join '), 0)
|