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django1/tests/aggregation_regress/tests.py

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