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authorNishanth Amuluru2011-01-11 22:41:51 +0530
committerNishanth Amuluru2011-01-11 22:41:51 +0530
commitb03203c8cb991c16ac8a3d74c8c4078182d0bb48 (patch)
tree7cf13b2deacbfaaec99edb431b83ddd5ea734a52 /parts/django/tests/regressiontests/aggregation_regress/tests.py
parent0c50203cd9eb94b819883c3110922e873f003138 (diff)
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-import datetime
-import pickle
-from decimal import Decimal
-from operator import attrgetter
-
-from django.conf import settings
-from django.core.exceptions import FieldError
-from django.db import DEFAULT_DB_ALIAS
-from django.db.models import Count, Max, Avg, Sum, StdDev, Variance, F
-from django.test import TestCase, Approximate
-
-from models import Author, Book, Publisher, Clues, Entries, HardbackBook
-
-
-def run_stddev_tests():
- """Check to see if StdDev/Variance tests should be run.
-
- Stddev and Variance are not guaranteed to be available for SQLite, and
- are not available for PostgreSQL before 8.2.
- """
- if settings.DATABASES[DEFAULT_DB_ALIAS]['ENGINE'] == 'django.db.backends.sqlite3':
- return False
-
- class StdDevPop(object):
- sql_function = 'STDDEV_POP'
-
- try:
- connection.ops.check_aggregate_support(StdDevPop())
- except:
- return False
- return True
-
-
-class AggregationTests(TestCase):
- def assertObjectAttrs(self, obj, **kwargs):
- for attr, value in kwargs.iteritems():
- 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))
-
- if settings.DATABASES[DEFAULT_DB_ALIAS]['ENGINE'] != 'django.db.backends.oracle':
- 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=2)
- self.assertObjectAttrs(obj,
- contact_id=3,
- id=2,
- isbn=u'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=2,
- rating=3.0
- )
- # Different DB backends return different types for the extra select computation
- self.assertTrue(obj.manufacture_cost == 11.545 or obj.manufacture_cost == 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=2)
- self.assertObjectAttrs(obj,
- contact_id=3,
- id=2,
- isbn=u'067232959',
- mean_auth_age=45.0,
- name=u'Sams Teach Yourself Django in 24 Hours',
- pages=528,
- price=Decimal("23.09"),
- pubdate=datetime.date(2008, 3, 3),
- publisher_id=2,
- rating=3.0
- )
- # Different DB backends return different types for the extra select computation
- self.assertTrue(obj.manufacture_cost == 11.545 or obj.manufacture_cost == 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=2)
- manufacture_cost = obj['manufacture_cost']
- self.assertTrue(manufacture_cost == 11.545 or manufacture_cost == Decimal('11.545'))
- del obj['manufacture_cost']
- self.assertEqual(obj, {
- "contact_id": 3,
- "id": 2,
- "isbn": u"067232959",
- "mean_auth_age": 45.0,
- "name": u"Sams Teach Yourself Django in 24 Hours",
- "pages": 528,
- "price": Decimal("23.09"),
- "pubdate": datetime.date(2008, 3, 3),
- "publisher_id": 2,
- "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=2)
- manufacture_cost = obj['manufacture_cost']
- self.assertTrue(manufacture_cost == 11.545 or manufacture_cost == Decimal('11.545'))
- del obj['manufacture_cost']
- self.assertEqual(obj, {
- 'contact_id': 3,
- 'id': 2,
- 'isbn': u'067232959',
- 'mean_auth_age': 45.0,
- 'name': u'Sams Teach Yourself Django in 24 Hours',
- 'pages': 528,
- 'price': Decimal("23.09"),
- 'pubdate': datetime.date(2008, 3, 3),
- 'publisher_id': 2,
- '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=1)
- self.assertEqual(obj, {
- "name": u'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=1)
- self.assertEqual(obj, {
- 'mean_auth_age': 34.5,
- 'name': u'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": u'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=1)
- self.assertEqual(obj, {
- 'mean_auth_age': 34.5,
- 'name': u'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")
- })
-
- def test_field_error(self):
- # Bad field requests in aggregates are caught and reported
- self.assertRaises(
- FieldError,
- lambda: Book.objects.all().aggregate(num_authors=Count('foo'))
- )
-
- self.assertRaises(
- FieldError,
- lambda: Book.objects.all().annotate(num_authors=Count('foo'))
- )
-
- self.assertRaises(
- FieldError,
- lambda: 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()[0]
- self.assertEqual(obj, {
- 'contact_id': 8,
- 'id': 5,
- 'isbn': u'013790395',
- 'name': u'Artificial Intelligence: A Modern Approach',
- 'num_authors': 2,
- 'pages': 1132,
- 'price': Decimal("82.8"),
- 'pubdate': datetime.date(1995, 1, 15),
- 'publisher_id': 3,
- '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': u'Morgan Kaufmann', 'num_awards': 9},
- {'num_books': 2, 'name': u'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': u'Apress', 'num_awards': 3},
- {'num_books': 0, 'name': u"Jonno's House of Books", 'num_awards': 0},
- {'num_books': 1, 'name': u'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': u'Morgan Kaufmann', 'num_awards': 9},
- {'num_books': 2, 'name': u'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': u'Apress', 'num_awards': 3},
- {'num_books': 0, 'name': u"Jonno's House of Books", 'num_awards': 0},
- {'num_books': 1, 'name': u'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_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(pk=5).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': u"Jonno's House of Books", 'num_awards': 0, 'max_price': None, 'num_authors': 0, 'max_rating': None, 'id': 5, '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, [
- (u'Artificial Intelligence: A Modern Approach', 51.5, u'Prentice Hall', u'Peter Norvig'),
- (u'Practical Django Projects', 29.0, u'Apress', u'James Bennett'),
- (u'Python Web Development with Django', Approximate(30.333, places=2), u'Prentice Hall', u'Jeffrey Forcier'),
- (u'Sams Teach Yourself Django in 24 Hours', 45.0, u'Sams', u'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': 1, 'id__count': 2},
- {'pub': 2, 'id__count': 1},
- {'pub': 3, 'id__count': 2},
- {'pub': 4, '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': 1, 'id__count': 2},
- {'pub': 2, 'id__count': 1},
- {'pub': 3, 'id__count': 2},
- {'pub': 4, '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
- )
-
- 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'))
-
- def test_field_name_conflict(self):
- # 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
- self.assertRaises(ValueError, Author.objects.annotate, friends=Count('friends'))
-
- 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
- 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(), [
- u'Artificial Intelligence: A Modern Approach',
- u'Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp',
- u'Practical Django Projects',
- u'Python Web Development with Django',
- u'Sams Teach Yourself Django in 24 Hours',
- u'The Definitive Guide to Django: Web Development Done Right'
- ],
- lambda b: b.name
- )
-
- # Regression for #10248 - Annotations work with DateQuerySets
- qs = Book.objects.annotate(num_authors=Count('authors')).filter(num_authors=2).dates('pubdate', 'day')
- self.assertQuerysetEqual(
- qs, [
- datetime.datetime(1995, 1, 15, 0, 0),
- datetime.datetime(2007, 12, 6, 0, 0)
- ],
- 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
- )
-
- publishers = Publisher.objects.filter(id__in=[1, 2])
- self.assertQuerysetEqual(
- publishers, [
- "Apress",
- "Sams"
- ],
- lambda p: p.name
- )
-
- publishers = publishers.annotate(n_books=Count("book"))
- self.assertEqual(
- publishers[0].n_books,
- 2
- )
-
- self.assertQuerysetEqual(
- publishers, [
- "Apress",
- "Sams",
- ],
- lambda p: p.name
- )
-
- 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.assertQuerysetEqual(
- publishers, [
- "Apress",
- "Sams",
- ],
- lambda p: p.name
- )
-
- # 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': u'Artificial Intelligence: A Modern Approach'},
- {'n_authors': 1, 'name': u'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': u'Artificial Intelligence: A Modern Approach'},
- {'n_authors': 1, 'name': u'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 an aggregate() call.
- self.assertRaises(
- FieldError,
- lambda: 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_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))
- )
-
- if run_stddev_tests():
- 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)}
- )