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authorDražen Odobašić <dodobas@candela-it.com>2015-09-11 19:33:12 -0400
committerTim Graham <timograham@gmail.com>2015-09-12 11:40:50 -0400
commitb1e33ceceda1e75ff68c7deed8f6659683a195d3 (patch)
treee4e446f69194f2dc3c9c7ee3ecf48290ea8d4d31 /tests/aggregation_regress
parent84b0a8d2aad042fb573df5055b6153770d0929ac (diff)
downloaddjango-b1e33ceceda1e75ff68c7deed8f6659683a195d3.tar.gz
Fixed #23395 -- Limited line lengths to 119 characters.
Diffstat (limited to 'tests/aggregation_regress')
-rw-r--r--tests/aggregation_regress/tests.py182
1 files changed, 152 insertions, 30 deletions
diff --git a/tests/aggregation_regress/tests.py b/tests/aggregation_regress/tests.py
index beb87bdb3a..380a33b66d 100644
--- a/tests/aggregation_regress/tests.py
+++ b/tests/aggregation_regress/tests.py
@@ -319,7 +319,13 @@ class AggregationTests(TestCase):
)
# 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'))
+ 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},
@@ -334,7 +340,12 @@ class AggregationTests(TestCase):
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'))
+ 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),
@@ -441,18 +452,34 @@ class AggregationTests(TestCase):
)
self.assertEqual(
- len(Book.objects.annotate(num_authors=Count('authors')).filter(num_authors__lt=3).exclude(num_authors__lt=2)),
+ 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)),
+ 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')
+ 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},
@@ -461,7 +488,13 @@ class AggregationTests(TestCase):
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')
+ 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},
@@ -472,7 +505,13 @@ class AggregationTests(TestCase):
)
# ... 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')
+ 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},
@@ -481,7 +520,13 @@ class AggregationTests(TestCase):
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')
+ 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},
@@ -493,7 +538,11 @@ class AggregationTests(TestCase):
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))
+ 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'))
@@ -518,17 +567,45 @@ class AggregationTests(TestCase):
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'))
+ 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()
+ 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}
- ],
+ 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
)
@@ -551,10 +628,16 @@ class AggregationTests(TestCase):
# 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, [
+ 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'),
+ (
+ '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)
@@ -573,7 +656,13 @@ class AggregationTests(TestCase):
lambda b: b
)
- qs = Book.objects.extra(select={'pub': 'publisher_id', 'foo': 'pages'}).values('pub').annotate(Count('id')).order_by('pub')
+ 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},
@@ -586,7 +675,13 @@ class AggregationTests(TestCase):
# 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')
+ 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",
@@ -603,14 +698,20 @@ class AggregationTests(TestCase):
def test_duplicate_alias(self):
# Regression for #11256 - duplicating a default alias raises ValueError.
- self.assertRaises(ValueError, Book.objects.all().annotate, Avg('authors__age'), authors__age__avg=Avg('authors__age'))
+ 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
+ # Regression for #11256 - providing an aggregate name
+ # that conflicts with a field name on the model raises ValueError
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
+ # Regression for #11256 - providing an aggregate name
+ # that conflicts with an m2m name on the model raises ValueError
self.assertRaises(ValueError, Author.objects.annotate, friends=Count('friends'))
def test_values_queryset_non_conflict(self):
@@ -636,7 +737,8 @@ class AggregationTests(TestCase):
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
+ # Regression for #11256 - providing an aggregate name
+ # that conflicts with a reverse-related name on the model raises ValueError
self.assertRaises(ValueError, Author.objects.annotate, book_contact_set=Avg('friends__age'))
def test_pickle(self):
@@ -682,7 +784,13 @@ class AggregationTests(TestCase):
# 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')
+ 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,
@@ -766,18 +874,26 @@ class AggregationTests(TestCase):
qs = HardbackBook.objects.annotate(n_authors=Count('book_ptr__authors')).values('name', 'n_authors')
self.assertQuerysetEqual(
- qs, [
+ qs,
+ [
{'n_authors': 2, 'name': 'Artificial Intelligence: A Modern Approach'},
- {'n_authors': 1, 'name': 'Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp'}
+ {
+ '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, [
+ qs,
+ [
{'n_authors': 2, 'name': 'Artificial Intelligence: A Modern Approach'},
- {'n_authors': 1, 'name': 'Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp'}
+ {
+ 'n_authors': 1,
+ 'name': 'Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp'
+ }
],
lambda h: h,
)
@@ -871,11 +987,17 @@ class AggregationTests(TestCase):
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))
+ 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, [
+ qs,
+ [
"The Definitive Guide to Django: Web Development Done Right",
],
attrgetter("name")