mirror of https://github.com/django/django.git
Fixed #13634 -- Migrated aggregation tests to use unittest. This removes a flush, which speeds up the tests overall.
git-svn-id: http://code.djangoproject.com/svn/django/trunk@13309 bcc190cf-cafb-0310-a4f2-bffc1f526a37
This commit is contained in:
Russell Keith-Magee
parent
eedf16d12b
commit
526a4410d7
|
|
@ -466,6 +466,9 @@ class TransactionTestCase(unittest.TestCase):
|
|||
msg_prefix + "Template '%s' was used unexpectedly in rendering"
|
||||
" the response" % template_name)
|
||||
|
||||
def assertQuerysetEqual(self, qs, values, transform=repr):
|
||||
return self.assertEqual(map(transform, qs), values)
|
||||
|
||||
def connections_support_transactions():
|
||||
"""
|
||||
Returns True if all connections support transactions. This is messy
|
||||
|
|
|
|||
|
|
@ -1248,6 +1248,19 @@ cause of an failure in your test suite.
|
|||
``target_status_code`` will be the url and status code for the final
|
||||
point of the redirect chain.
|
||||
|
||||
.. method:: TestCase.assertQuerysetEqual(response, qs, values, transform=repr)
|
||||
|
||||
Asserts that a queryset ``qs`` returns a particular list of values ``values``.
|
||||
|
||||
The comparison of the contents of ``qs`` and ``values`` is performed using
|
||||
the function ``transform``; by default, this means that the ``repr()`` of
|
||||
each value is compared. Any other callable can be used if ``repr()`` doesn't
|
||||
provide a unique or helpful comparison.
|
||||
|
||||
The comparison is also ordering dependent. If ``qs`` doesn't provide an
|
||||
implicit ordering, you will need to apply a ``order_by()`` clause to your
|
||||
queryset to ensure that the test will pass reliably.
|
||||
|
||||
.. _topics-testing-email:
|
||||
|
||||
E-mail services
|
||||
|
|
|
|||
|
|
@ -1,6 +1,7 @@
|
|||
# coding: utf-8
|
||||
from django.db import models
|
||||
|
||||
|
||||
class Author(models.Model):
|
||||
name = models.CharField(max_length=100)
|
||||
age = models.IntegerField()
|
||||
|
|
@ -39,323 +40,3 @@ class Store(models.Model):
|
|||
def __unicode__(self):
|
||||
return self.name
|
||||
|
||||
# Tests on 'aggregate'
|
||||
# Different backends and numbers.
|
||||
__test__ = {'API_TESTS': """
|
||||
>>> from django.core import management
|
||||
>>> from decimal import Decimal
|
||||
>>> from datetime import date
|
||||
|
||||
# Reset the database representation of this app.
|
||||
# This will return the database to a clean initial state.
|
||||
>>> management.call_command('flush', verbosity=0, interactive=False)
|
||||
|
||||
# Empty Call - request nothing, get nothing.
|
||||
>>> Author.objects.all().aggregate()
|
||||
{}
|
||||
|
||||
>>> from django.db.models import Avg, Sum, Count, Max, Min
|
||||
|
||||
# Single model aggregation
|
||||
#
|
||||
|
||||
# Single aggregate
|
||||
# Average age of Authors
|
||||
>>> Author.objects.all().aggregate(Avg('age'))
|
||||
{'age__avg': 37.4...}
|
||||
|
||||
# Multiple aggregates
|
||||
# Average and Sum of Author ages
|
||||
>>> Author.objects.all().aggregate(Sum('age'), Avg('age'))
|
||||
{'age__sum': 337, 'age__avg': 37.4...}
|
||||
|
||||
# Aggreates interact with filters, and only
|
||||
# generate aggregate values for the filtered values
|
||||
# Sum of the age of those older than 29 years old
|
||||
>>> Author.objects.all().filter(age__gt=29).aggregate(Sum('age'))
|
||||
{'age__sum': 254}
|
||||
|
||||
# Depth-1 Joins
|
||||
#
|
||||
|
||||
# On Relationships with self
|
||||
# Average age of the friends of each author
|
||||
>>> Author.objects.all().aggregate(Avg('friends__age'))
|
||||
{'friends__age__avg': 34.07...}
|
||||
|
||||
# On ManyToMany Relationships
|
||||
#
|
||||
|
||||
# Forward
|
||||
# Average age of the Authors of Books with a rating of less than 4.5
|
||||
>>> Book.objects.all().filter(rating__lt=4.5).aggregate(Avg('authors__age'))
|
||||
{'authors__age__avg': 38.2...}
|
||||
|
||||
# Backward
|
||||
# Average rating of the Books whose Author's name contains the letter 'a'
|
||||
>>> Author.objects.all().filter(name__contains='a').aggregate(Avg('book__rating'))
|
||||
{'book__rating__avg': 4.0}
|
||||
|
||||
# On OneToMany Relationships
|
||||
#
|
||||
|
||||
# Forward
|
||||
# Sum of the number of awards of each Book's Publisher
|
||||
>>> Book.objects.all().aggregate(Sum('publisher__num_awards'))
|
||||
{'publisher__num_awards__sum': 30}
|
||||
|
||||
# Backward
|
||||
# Sum of the price of every Book that has a Publisher
|
||||
>>> Publisher.objects.all().aggregate(Sum('book__price'))
|
||||
{'book__price__sum': Decimal("270.27")}
|
||||
|
||||
# Multiple Joins
|
||||
#
|
||||
|
||||
# Forward
|
||||
>>> Store.objects.all().aggregate(Max('books__authors__age'))
|
||||
{'books__authors__age__max': 57}
|
||||
|
||||
# Backward
|
||||
# Note that the very long default alias may be truncated
|
||||
>>> Author.objects.all().aggregate(Min('book__publisher__num_awards'))
|
||||
{'book__publisher__num_award...': 1}
|
||||
|
||||
# Aggregate outputs can also be aliased.
|
||||
|
||||
# Average amazon.com Book rating
|
||||
>>> Store.objects.filter(name='Amazon.com').aggregate(amazon_mean=Avg('books__rating'))
|
||||
{'amazon_mean': 4.08...}
|
||||
|
||||
# Tests on annotate()
|
||||
|
||||
# An empty annotate call does nothing but return the same QuerySet
|
||||
>>> Book.objects.all().annotate().order_by('pk')
|
||||
[<Book: The Definitive Guide to Django: Web Development Done Right>, <Book: Sams Teach Yourself Django in 24 Hours>, <Book: Practical Django Projects>, <Book: Python Web Development with Django>, <Book: Artificial Intelligence: A Modern Approach>, <Book: Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp>]
|
||||
|
||||
# Annotate inserts the alias into the model object with the aggregated result
|
||||
>>> books = Book.objects.all().annotate(mean_age=Avg('authors__age'))
|
||||
>>> books.get(pk=1).name
|
||||
u'The Definitive Guide to Django: Web Development Done Right'
|
||||
|
||||
>>> books.get(pk=1).mean_age
|
||||
34.5
|
||||
|
||||
# On ManyToMany Relationships
|
||||
|
||||
# Forward
|
||||
# Average age of the Authors of each book with a rating less than 4.5
|
||||
>>> books = Book.objects.all().filter(rating__lt=4.5).annotate(Avg('authors__age'))
|
||||
>>> sorted([(b.name, b.authors__age__avg) for b in books])
|
||||
[(u'Artificial Intelligence: A Modern Approach', 51.5), (u'Practical Django Projects', 29.0), (u'Python Web Development with Django', 30.3...), (u'Sams Teach Yourself Django in 24 Hours', 45.0)]
|
||||
|
||||
# Count the number of authors of each book
|
||||
>>> books = Book.objects.annotate(num_authors=Count('authors'))
|
||||
>>> sorted([(b.name, b.num_authors) for b in books])
|
||||
[(u'Artificial Intelligence: A Modern Approach', 2), (u'Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp', 1), (u'Practical Django Projects', 1), (u'Python Web Development with Django', 3), (u'Sams Teach Yourself Django in 24 Hours', 1), (u'The Definitive Guide to Django: Web Development Done Right', 2)]
|
||||
|
||||
# Backward
|
||||
# Average rating of the Books whose Author's names contains the letter 'a'
|
||||
>>> authors = Author.objects.all().filter(name__contains='a').annotate(Avg('book__rating'))
|
||||
>>> sorted([(a.name, a.book__rating__avg) for a in authors])
|
||||
[(u'Adrian Holovaty', 4.5), (u'Brad Dayley', 3.0), (u'Jacob Kaplan-Moss', 4.5), (u'James Bennett', 4.0), (u'Paul Bissex', 4.0), (u'Stuart Russell', 4.0)]
|
||||
|
||||
# Count the number of books written by each author
|
||||
>>> authors = Author.objects.annotate(num_books=Count('book'))
|
||||
>>> sorted([(a.name, a.num_books) for a in authors])
|
||||
[(u'Adrian Holovaty', 1), (u'Brad Dayley', 1), (u'Jacob Kaplan-Moss', 1), (u'James Bennett', 1), (u'Jeffrey Forcier', 1), (u'Paul Bissex', 1), (u'Peter Norvig', 2), (u'Stuart Russell', 1), (u'Wesley J. Chun', 1)]
|
||||
|
||||
# On OneToMany Relationships
|
||||
|
||||
# Forward
|
||||
# Annotate each book with the number of awards of each Book's Publisher
|
||||
>>> books = Book.objects.all().annotate(Sum('publisher__num_awards'))
|
||||
>>> sorted([(b.name, b.publisher__num_awards__sum) for b in books])
|
||||
[(u'Artificial Intelligence: A Modern Approach', 7), (u'Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp', 9), (u'Practical Django Projects', 3), (u'Python Web Development with Django', 7), (u'Sams Teach Yourself Django in 24 Hours', 1), (u'The Definitive Guide to Django: Web Development Done Right', 3)]
|
||||
|
||||
# Backward
|
||||
# Annotate each publisher with the sum of the price of all books sold
|
||||
>>> publishers = Publisher.objects.all().annotate(Sum('book__price'))
|
||||
>>> sorted([(p.name, p.book__price__sum) for p in publishers])
|
||||
[(u'Apress', Decimal("59.69")), (u"Jonno's House of Books", None), (u'Morgan Kaufmann', Decimal("75.00")), (u'Prentice Hall', Decimal("112.49")), (u'Sams', Decimal("23.09"))]
|
||||
|
||||
# Calls to values() are not commutative over annotate().
|
||||
|
||||
# Calling values on a queryset that has annotations returns the output
|
||||
# as a dictionary
|
||||
>>> [sorted(o.iteritems()) for o in Book.objects.filter(pk=1).annotate(mean_age=Avg('authors__age')).values()]
|
||||
[[('contact_id', 1), ('id', 1), ('isbn', u'159059725'), ('mean_age', 34.5), ('name', u'The Definitive Guide to Django: Web Development Done Right'), ('pages', 447), ('price', Decimal("30...")), ('pubdate', datetime.date(2007, 12, 6)), ('publisher_id', 1), ('rating', 4.5)]]
|
||||
|
||||
>>> Book.objects.filter(pk=1).annotate(mean_age=Avg('authors__age')).values('pk', 'isbn', 'mean_age')
|
||||
[{'pk': 1, 'isbn': u'159059725', 'mean_age': 34.5}]
|
||||
|
||||
# Calling values() with parameters reduces the output
|
||||
>>> Book.objects.filter(pk=1).annotate(mean_age=Avg('authors__age')).values('name')
|
||||
[{'name': u'The Definitive Guide to Django: Web Development Done Right'}]
|
||||
|
||||
# An empty values() call before annotating has the same effect as an
|
||||
# empty values() call after annotating
|
||||
>>> [sorted(o.iteritems()) for o in Book.objects.filter(pk=1).values().annotate(mean_age=Avg('authors__age'))]
|
||||
[[('contact_id', 1), ('id', 1), ('isbn', u'159059725'), ('mean_age', 34.5), ('name', u'The Definitive Guide to Django: Web Development Done Right'), ('pages', 447), ('price', Decimal("30...")), ('pubdate', datetime.date(2007, 12, 6)), ('publisher_id', 1), ('rating', 4.5)]]
|
||||
|
||||
# Calling annotate() on a ValuesQuerySet annotates over the groups of
|
||||
# fields to be selected by the ValuesQuerySet.
|
||||
|
||||
# Note that an extra parameter is added to each dictionary. This
|
||||
# parameter is a queryset representing the objects that have been
|
||||
# grouped to generate the annotation
|
||||
|
||||
>>> Book.objects.all().values('rating').annotate(n_authors=Count('authors__id'), mean_age=Avg('authors__age')).order_by('rating')
|
||||
[{'rating': 3.0, 'n_authors': 1, 'mean_age': 45.0}, {'rating': 4.0, 'n_authors': 6, 'mean_age': 37.1...}, {'rating': 4.5, 'n_authors': 2, 'mean_age': 34.5}, {'rating': 5.0, 'n_authors': 1, 'mean_age': 57.0}]
|
||||
|
||||
# If a join doesn't match any objects, an aggregate returns None
|
||||
>>> authors = Author.objects.all().annotate(Avg('friends__age')).order_by('id')
|
||||
>>> len(authors)
|
||||
9
|
||||
>>> sorted([(a.name, a.friends__age__avg) for a in authors])
|
||||
[(u'Adrian Holovaty', 32.0), (u'Brad Dayley', None), (u'Jacob Kaplan-Moss', 29.5), (u'James Bennett', 34.0), (u'Jeffrey Forcier', 27.0), (u'Paul Bissex', 31.0), (u'Peter Norvig', 46.0), (u'Stuart Russell', 57.0), (u'Wesley J. Chun', 33.6...)]
|
||||
|
||||
|
||||
# The Count aggregation function allows an extra parameter: distinct.
|
||||
# This restricts the count results to unique items
|
||||
>>> Book.objects.all().aggregate(Count('rating'))
|
||||
{'rating__count': 6}
|
||||
|
||||
>>> Book.objects.all().aggregate(Count('rating', distinct=True))
|
||||
{'rating__count': 4}
|
||||
|
||||
# Retreiving the grouped objects
|
||||
|
||||
# When using Count you can also omit the primary key and refer only to
|
||||
# the related field name if you want to count all the related objects
|
||||
# and not a specific column
|
||||
>>> explicit = list(Author.objects.annotate(Count('book__id')))
|
||||
>>> implicit = list(Author.objects.annotate(Count('book')))
|
||||
>>> explicit == implicit
|
||||
True
|
||||
|
||||
# Ordering is allowed on aggregates
|
||||
>>> Book.objects.values('rating').annotate(oldest=Max('authors__age')).order_by('oldest', 'rating')
|
||||
[{'rating': 4.5, 'oldest': 35}, {'rating': 3.0, 'oldest': 45}, {'rating': 4.0, 'oldest': 57}, {'rating': 5.0, 'oldest': 57}]
|
||||
|
||||
>>> Book.objects.values('rating').annotate(oldest=Max('authors__age')).order_by('-oldest', '-rating')
|
||||
[{'rating': 5.0, 'oldest': 57}, {'rating': 4.0, 'oldest': 57}, {'rating': 3.0, 'oldest': 45}, {'rating': 4.5, 'oldest': 35}]
|
||||
|
||||
# It is possible to aggregate over anotated values
|
||||
>>> Book.objects.all().annotate(num_authors=Count('authors__id')).aggregate(Avg('num_authors'))
|
||||
{'num_authors__avg': 1.66...}
|
||||
|
||||
# You can filter the results based on the aggregation alias.
|
||||
|
||||
# Lets add a publisher to test the different possibilities for filtering
|
||||
>>> p = Publisher(name='Expensive Publisher', num_awards=0)
|
||||
>>> p.save()
|
||||
>>> Book(name='ExpensiveBook1', pages=1, isbn='111', rating=3.5, price=Decimal("1000"), publisher=p, contact_id=1, pubdate=date(2008,12,1)).save()
|
||||
>>> Book(name='ExpensiveBook2', pages=1, isbn='222', rating=4.0, price=Decimal("1000"), publisher=p, contact_id=1, pubdate=date(2008,12,2)).save()
|
||||
>>> Book(name='ExpensiveBook3', pages=1, isbn='333', rating=4.5, price=Decimal("35"), publisher=p, contact_id=1, pubdate=date(2008,12,3)).save()
|
||||
|
||||
# Publishers that have:
|
||||
|
||||
# (i) more than one book
|
||||
>>> Publisher.objects.annotate(num_books=Count('book__id')).filter(num_books__gt=1).order_by('pk')
|
||||
[<Publisher: Apress>, <Publisher: Prentice Hall>, <Publisher: Expensive Publisher>]
|
||||
|
||||
# (ii) a book that cost less than 40
|
||||
>>> Publisher.objects.filter(book__price__lt=Decimal("40.0")).order_by('pk')
|
||||
[<Publisher: Apress>, <Publisher: Apress>, <Publisher: Sams>, <Publisher: Prentice Hall>, <Publisher: Expensive Publisher>]
|
||||
|
||||
# (iii) more than one book and (at least) a book that cost less than 40
|
||||
>>> Publisher.objects.annotate(num_books=Count('book__id')).filter(num_books__gt=1, book__price__lt=Decimal("40.0")).order_by('pk')
|
||||
[<Publisher: Apress>, <Publisher: Prentice Hall>, <Publisher: Expensive Publisher>]
|
||||
|
||||
# (iv) more than one book that costs less than $40
|
||||
>>> Publisher.objects.filter(book__price__lt=Decimal("40.0")).annotate(num_books=Count('book__id')).filter(num_books__gt=1).order_by('pk')
|
||||
[<Publisher: Apress>]
|
||||
|
||||
# Now a bit of testing on the different lookup types
|
||||
#
|
||||
|
||||
>>> Publisher.objects.annotate(num_books=Count('book')).filter(num_books__range=[1, 3]).order_by('pk')
|
||||
[<Publisher: Apress>, <Publisher: Sams>, <Publisher: Prentice Hall>, <Publisher: Morgan Kaufmann>, <Publisher: Expensive Publisher>]
|
||||
|
||||
>>> Publisher.objects.annotate(num_books=Count('book')).filter(num_books__range=[1, 2]).order_by('pk')
|
||||
[<Publisher: Apress>, <Publisher: Sams>, <Publisher: Prentice Hall>, <Publisher: Morgan Kaufmann>]
|
||||
|
||||
>>> Publisher.objects.annotate(num_books=Count('book')).filter(num_books__in=[1, 3]).order_by('pk')
|
||||
[<Publisher: Sams>, <Publisher: Morgan Kaufmann>, <Publisher: Expensive Publisher>]
|
||||
|
||||
>>> Publisher.objects.annotate(num_books=Count('book')).filter(num_books__isnull=True)
|
||||
[]
|
||||
|
||||
>>> p.delete()
|
||||
|
||||
# Does Author X have any friends? (or better, how many friends does author X have)
|
||||
>> Author.objects.filter(pk=1).aggregate(Count('friends__id'))
|
||||
{'friends__id__count': 2.0}
|
||||
|
||||
# Give me a list of all Books with more than 1 authors
|
||||
>>> Book.objects.all().annotate(num_authors=Count('authors__name')).filter(num_authors__ge=2).order_by('pk')
|
||||
[<Book: The Definitive Guide to Django: Web Development Done Right>, <Book: Artificial Intelligence: A Modern Approach>]
|
||||
|
||||
# Give me a list of all Authors that have no friends
|
||||
>>> Author.objects.all().annotate(num_friends=Count('friends__id', distinct=True)).filter(num_friends=0).order_by('pk')
|
||||
[<Author: Brad Dayley>]
|
||||
|
||||
# Give me a list of all publishers that have published more than 1 books
|
||||
>>> Publisher.objects.all().annotate(num_books=Count('book__id')).filter(num_books__gt=1).order_by('pk')
|
||||
[<Publisher: Apress>, <Publisher: Prentice Hall>]
|
||||
|
||||
# Give me a list of all publishers that have published more than 1 books that cost less than 40
|
||||
>>> Publisher.objects.all().filter(book__price__lt=Decimal("40.0")).annotate(num_books=Count('book__id')).filter(num_books__gt=1)
|
||||
[<Publisher: Apress>]
|
||||
|
||||
# Give me a list of all Books that were written by X and one other author.
|
||||
>>> Book.objects.all().annotate(num_authors=Count('authors__id')).filter(authors__name__contains='Norvig', num_authors__gt=1)
|
||||
[<Book: Artificial Intelligence: A Modern Approach>]
|
||||
|
||||
# Give me the average rating of all Books that were written by X and one other author.
|
||||
#(Aggregate over objects discovered using membership of the m2m set)
|
||||
|
||||
# Adding an existing author to another book to test it the right way
|
||||
>>> a = Author.objects.get(name__contains='Norvig')
|
||||
>>> b = Book.objects.get(name__contains='Done Right')
|
||||
>>> b.authors.add(a)
|
||||
>>> b.save()
|
||||
|
||||
# This should do it
|
||||
>>> Book.objects.all().annotate(num_authors=Count('authors__id')).filter(authors__name__contains='Norvig', num_authors__gt=1).aggregate(Avg('rating'))
|
||||
{'rating__avg': 4.25}
|
||||
>>> b.authors.remove(a)
|
||||
|
||||
# Give me a list of all Authors that have published a book with at least one other person
|
||||
# (Filters over a count generated on a related object)
|
||||
#
|
||||
# Cheating: [a for a in Author.objects.all().annotate(num_coleagues=Count('book__authors__id'), num_books=Count('book__id', distinct=True)) if a.num_coleagues - a.num_books > 0]
|
||||
# F-Syntax is required. Will be fixed after F objects are available
|
||||
|
||||
# Aggregates also work on dates, times and datetimes
|
||||
>>> Publisher.objects.annotate(earliest_book=Min('book__pubdate')).exclude(earliest_book=None).order_by('earliest_book').values()
|
||||
[{'earliest_book': datetime.date(1991, 10, 15), 'num_awards': 9, 'id': 4, 'name': u'Morgan Kaufmann'}, {'earliest_book': datetime.date(1995, 1, 15), 'num_awards': 7, 'id': 3, 'name': u'Prentice Hall'}, {'earliest_book': datetime.date(2007, 12, 6), 'num_awards': 3, 'id': 1, 'name': u'Apress'}, {'earliest_book': datetime.date(2008, 3, 3), 'num_awards': 1, 'id': 2, 'name': u'Sams'}]
|
||||
|
||||
>>> Store.objects.aggregate(Max('friday_night_closing'), Min("original_opening"))
|
||||
{'friday_night_closing__max': datetime.time(23, 59, 59), 'original_opening__min': datetime.datetime(1945, 4, 25, 16, 24, 14)}
|
||||
|
||||
# values_list() can also be used
|
||||
|
||||
>>> Book.objects.filter(pk=1).annotate(mean_age=Avg('authors__age')).values_list('pk', 'isbn', 'mean_age')
|
||||
[(1, u'159059725', 34.5)]
|
||||
|
||||
>>> Book.objects.filter(pk=1).annotate(mean_age=Avg('authors__age')).values_list('isbn')
|
||||
[(u'159059725',)]
|
||||
|
||||
>>> Book.objects.filter(pk=1).annotate(mean_age=Avg('authors__age')).values_list('mean_age')
|
||||
[(34.5,)]
|
||||
|
||||
>>> Book.objects.filter(pk=1).annotate(mean_age=Avg('authors__age')).values_list('mean_age', flat=True)
|
||||
[34.5]
|
||||
|
||||
>>> qs = Book.objects.values_list('price').annotate(count=Count('price')).order_by('-count', 'price')
|
||||
>>> list(qs) == [(Decimal('29.69'), 2), (Decimal('23.09'), 1), (Decimal('30'), 1), (Decimal('75'), 1), (Decimal('82.8'), 1)]
|
||||
True
|
||||
|
||||
"""}
|
||||
|
|
|
|||
|
|
@ -0,0 +1,578 @@
|
|||
import datetime
|
||||
from decimal import Decimal
|
||||
|
||||
from django.db.models import Avg, Sum, Count, Max, Min
|
||||
from django.test import TestCase
|
||||
|
||||
from models import Author, Publisher, Book, Store
|
||||
|
||||
|
||||
class Approximate(object):
|
||||
def __init__(self, val, places=7):
|
||||
self.val = val
|
||||
self.places = places
|
||||
|
||||
def __repr__(self):
|
||||
return repr(self.val)
|
||||
|
||||
def __eq__(self, other):
|
||||
if self.val == other:
|
||||
return True
|
||||
return round(abs(self.val-other), self.places) == 0
|
||||
|
||||
class BaseAggregateTestCase(TestCase):
|
||||
fixtures = ["initial_data.json"]
|
||||
|
||||
def test_empty_aggregate(self):
|
||||
self.assertEqual(Author.objects.all().aggregate(), {})
|
||||
|
||||
def test_single_aggregate(self):
|
||||
vals = Author.objects.aggregate(Avg("age"))
|
||||
self.assertEqual(vals, {"age__avg": Approximate(37.4, places=1)})
|
||||
|
||||
def test_multiple_aggregates(self):
|
||||
vals = Author.objects.aggregate(Sum("age"), Avg("age"))
|
||||
self.assertEqual(vals, {"age__sum": 337, "age__avg": Approximate(37.4, places=1)})
|
||||
|
||||
def test_filter_aggregate(self):
|
||||
vals = Author.objects.filter(age__gt=29).aggregate(Sum("age"))
|
||||
self.assertEqual(len(vals), 1)
|
||||
self.assertEqual(vals["age__sum"], 254)
|
||||
|
||||
def test_related_aggregate(self):
|
||||
vals = Author.objects.aggregate(Avg("friends__age"))
|
||||
self.assertEqual(len(vals), 1)
|
||||
self.assertAlmostEqual(vals["friends__age__avg"], 34.07, places=2)
|
||||
|
||||
vals = Book.objects.filter(rating__lt=4.5).aggregate(Avg("authors__age"))
|
||||
self.assertEqual(len(vals), 1)
|
||||
self.assertAlmostEqual(vals["authors__age__avg"], 38.2857, places=2)
|
||||
|
||||
vals = Author.objects.all().filter(name__contains="a").aggregate(Avg("book__rating"))
|
||||
self.assertEqual(len(vals), 1)
|
||||
self.assertEqual(vals["book__rating__avg"], 4.0)
|
||||
|
||||
vals = Book.objects.aggregate(Sum("publisher__num_awards"))
|
||||
self.assertEqual(len(vals), 1)
|
||||
self.assertEquals(vals["publisher__num_awards__sum"], 30)
|
||||
|
||||
vals = Publisher.objects.aggregate(Sum("book__price"))
|
||||
self.assertEqual(len(vals), 1)
|
||||
self.assertEqual(vals["book__price__sum"], Decimal("270.27"))
|
||||
|
||||
def test_aggregate_multi_join(self):
|
||||
vals = Store.objects.aggregate(Max("books__authors__age"))
|
||||
self.assertEqual(len(vals), 1)
|
||||
self.assertEqual(vals["books__authors__age__max"], 57)
|
||||
|
||||
vals = Author.objects.aggregate(Min("book__publisher__num_awards"))
|
||||
self.assertEqual(len(vals), 1)
|
||||
self.assertEqual(vals["book__publisher__num_awards__min"], 1)
|
||||
|
||||
def test_aggregate_alias(self):
|
||||
vals = Store.objects.filter(name="Amazon.com").aggregate(amazon_mean=Avg("books__rating"))
|
||||
self.assertEqual(len(vals), 1)
|
||||
self.assertAlmostEqual(vals["amazon_mean"], 4.08, places=2)
|
||||
|
||||
def test_annotate_basic(self):
|
||||
self.assertQuerysetEqual(
|
||||
Book.objects.annotate().order_by('pk'), [
|
||||
"The Definitive Guide to Django: Web Development Done Right",
|
||||
"Sams Teach Yourself Django in 24 Hours",
|
||||
"Practical Django Projects",
|
||||
"Python Web Development with Django",
|
||||
"Artificial Intelligence: A Modern Approach",
|
||||
"Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp"
|
||||
],
|
||||
lambda b: b.name
|
||||
)
|
||||
|
||||
books = Book.objects.annotate(mean_age=Avg("authors__age"))
|
||||
b = books.get(pk=1)
|
||||
self.assertEqual(
|
||||
b.name,
|
||||
u'The Definitive Guide to Django: Web Development Done Right'
|
||||
)
|
||||
self.assertEqual(b.mean_age, 34.5)
|
||||
|
||||
def test_annotate_m2m(self):
|
||||
books = Book.objects.filter(rating__lt=4.5).annotate(Avg("authors__age")).order_by("name")
|
||||
self.assertQuerysetEqual(
|
||||
books, [
|
||||
(u'Artificial Intelligence: A Modern Approach', 51.5),
|
||||
(u'Practical Django Projects', 29.0),
|
||||
(u'Python Web Development with Django', Approximate(30.3, places=1)),
|
||||
(u'Sams Teach Yourself Django in 24 Hours', 45.0)
|
||||
],
|
||||
lambda b: (b.name, b.authors__age__avg),
|
||||
)
|
||||
|
||||
books = Book.objects.annotate(num_authors=Count("authors")).order_by("name")
|
||||
self.assertQuerysetEqual(
|
||||
books, [
|
||||
(u'Artificial Intelligence: A Modern Approach', 2),
|
||||
(u'Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp', 1),
|
||||
(u'Practical Django Projects', 1),
|
||||
(u'Python Web Development with Django', 3),
|
||||
(u'Sams Teach Yourself Django in 24 Hours', 1),
|
||||
(u'The Definitive Guide to Django: Web Development Done Right', 2)
|
||||
],
|
||||
lambda b: (b.name, b.num_authors)
|
||||
)
|
||||
|
||||
def test_backwards_m2m_annotate(self):
|
||||
authors = Author.objects.filter(name__contains="a").annotate(Avg("book__rating")).order_by("name")
|
||||
self.assertQuerysetEqual(
|
||||
authors, [
|
||||
(u'Adrian Holovaty', 4.5),
|
||||
(u'Brad Dayley', 3.0),
|
||||
(u'Jacob Kaplan-Moss', 4.5),
|
||||
(u'James Bennett', 4.0),
|
||||
(u'Paul Bissex', 4.0),
|
||||
(u'Stuart Russell', 4.0)
|
||||
],
|
||||
lambda a: (a.name, a.book__rating__avg)
|
||||
)
|
||||
|
||||
authors = Author.objects.annotate(num_books=Count("book")).order_by("name")
|
||||
self.assertQuerysetEqual(
|
||||
authors, [
|
||||
(u'Adrian Holovaty', 1),
|
||||
(u'Brad Dayley', 1),
|
||||
(u'Jacob Kaplan-Moss', 1),
|
||||
(u'James Bennett', 1),
|
||||
(u'Jeffrey Forcier', 1),
|
||||
(u'Paul Bissex', 1),
|
||||
(u'Peter Norvig', 2),
|
||||
(u'Stuart Russell', 1),
|
||||
(u'Wesley J. Chun', 1)
|
||||
],
|
||||
lambda a: (a.name, a.num_books)
|
||||
)
|
||||
|
||||
def test_reverse_fkey_annotate(self):
|
||||
books = Book.objects.annotate(Sum("publisher__num_awards")).order_by("name")
|
||||
self.assertQuerysetEqual(
|
||||
books, [
|
||||
(u'Artificial Intelligence: A Modern Approach', 7),
|
||||
(u'Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp', 9),
|
||||
(u'Practical Django Projects', 3),
|
||||
(u'Python Web Development with Django', 7),
|
||||
(u'Sams Teach Yourself Django in 24 Hours', 1),
|
||||
(u'The Definitive Guide to Django: Web Development Done Right', 3)
|
||||
],
|
||||
lambda b: (b.name, b.publisher__num_awards__sum)
|
||||
)
|
||||
|
||||
publishers = Publisher.objects.annotate(Sum("book__price")).order_by("name")
|
||||
self.assertQuerysetEqual(
|
||||
publishers, [
|
||||
(u'Apress', Decimal("59.69")),
|
||||
(u"Jonno's House of Books", None),
|
||||
(u'Morgan Kaufmann', Decimal("75.00")),
|
||||
(u'Prentice Hall', Decimal("112.49")),
|
||||
(u'Sams', Decimal("23.09"))
|
||||
],
|
||||
lambda p: (p.name, p.book__price__sum)
|
||||
)
|
||||
|
||||
def test_annotate_values(self):
|
||||
books = list(Book.objects.filter(pk=1).annotate(mean_age=Avg("authors__age")).values())
|
||||
self.assertEqual(
|
||||
books, [
|
||||
{
|
||||
"contact_id": 1,
|
||||
"id": 1,
|
||||
"isbn": "159059725",
|
||||
"mean_age": 34.5,
|
||||
"name": "The Definitive Guide to Django: Web Development Done Right",
|
||||
"pages": 447,
|
||||
"price": Approximate(Decimal("30")),
|
||||
"pubdate": datetime.date(2007, 12, 6),
|
||||
"publisher_id": 1,
|
||||
"rating": 4.5,
|
||||
}
|
||||
]
|
||||
)
|
||||
|
||||
books = Book.objects.filter(pk=1).annotate(mean_age=Avg('authors__age')).values('pk', 'isbn', 'mean_age')
|
||||
self.assertEqual(
|
||||
list(books), [
|
||||
{
|
||||
"pk": 1,
|
||||
"isbn": "159059725",
|
||||
"mean_age": 34.5,
|
||||
}
|
||||
]
|
||||
)
|
||||
|
||||
books = Book.objects.filter(pk=1).annotate(mean_age=Avg("authors__age")).values("name")
|
||||
self.assertEqual(
|
||||
list(books), [
|
||||
{
|
||||
"name": "The Definitive Guide to Django: Web Development Done Right"
|
||||
}
|
||||
]
|
||||
)
|
||||
|
||||
books = Book.objects.filter(pk=1).values().annotate(mean_age=Avg('authors__age'))
|
||||
self.assertEqual(
|
||||
list(books), [
|
||||
{
|
||||
"contact_id": 1,
|
||||
"id": 1,
|
||||
"isbn": "159059725",
|
||||
"mean_age": 34.5,
|
||||
"name": "The Definitive Guide to Django: Web Development Done Right",
|
||||
"pages": 447,
|
||||
"price": Approximate(Decimal("30")),
|
||||
"pubdate": datetime.date(2007, 12, 6),
|
||||
"publisher_id": 1,
|
||||
"rating": 4.5,
|
||||
}
|
||||
]
|
||||
)
|
||||
|
||||
books = Book.objects.values("rating").annotate(n_authors=Count("authors__id"), mean_age=Avg("authors__age")).order_by("rating")
|
||||
self.assertEqual(
|
||||
list(books), [
|
||||
{
|
||||
"rating": 3.0,
|
||||
"n_authors": 1,
|
||||
"mean_age": 45.0,
|
||||
},
|
||||
{
|
||||
"rating": 4.0,
|
||||
"n_authors": 6,
|
||||
"mean_age": Approximate(37.16, places=1)
|
||||
},
|
||||
{
|
||||
"rating": 4.5,
|
||||
"n_authors": 2,
|
||||
"mean_age": 34.5,
|
||||
},
|
||||
{
|
||||
"rating": 5.0,
|
||||
"n_authors": 1,
|
||||
"mean_age": 57.0,
|
||||
}
|
||||
]
|
||||
)
|
||||
|
||||
authors = Author.objects.annotate(Avg("friends__age")).order_by("name")
|
||||
self.assertEqual(len(authors), 9)
|
||||
self.assertQuerysetEqual(
|
||||
authors, [
|
||||
(u'Adrian Holovaty', 32.0),
|
||||
(u'Brad Dayley', None),
|
||||
(u'Jacob Kaplan-Moss', 29.5),
|
||||
(u'James Bennett', 34.0),
|
||||
(u'Jeffrey Forcier', 27.0),
|
||||
(u'Paul Bissex', 31.0),
|
||||
(u'Peter Norvig', 46.0),
|
||||
(u'Stuart Russell', 57.0),
|
||||
(u'Wesley J. Chun', Approximate(33.66, places=1))
|
||||
],
|
||||
lambda a: (a.name, a.friends__age__avg)
|
||||
)
|
||||
|
||||
def test_count(self):
|
||||
vals = Book.objects.aggregate(Count("rating"))
|
||||
self.assertEqual(vals, {"rating__count": 6})
|
||||
|
||||
vals = Book.objects.aggregate(Count("rating", distinct=True))
|
||||
self.assertEqual(vals, {"rating__count": 4})
|
||||
|
||||
def test_fkey_aggregate(self):
|
||||
explicit = list(Author.objects.annotate(Count('book__id')))
|
||||
implicit = list(Author.objects.annotate(Count('book')))
|
||||
self.assertEqual(explicit, implicit)
|
||||
|
||||
def test_annotate_ordering(self):
|
||||
books = Book.objects.values('rating').annotate(oldest=Max('authors__age')).order_by('oldest', 'rating')
|
||||
self.assertEqual(
|
||||
list(books), [
|
||||
{
|
||||
"rating": 4.5,
|
||||
"oldest": 35,
|
||||
},
|
||||
{
|
||||
"rating": 3.0,
|
||||
"oldest": 45
|
||||
},
|
||||
{
|
||||
"rating": 4.0,
|
||||
"oldest": 57,
|
||||
},
|
||||
{
|
||||
"rating": 5.0,
|
||||
"oldest": 57,
|
||||
}
|
||||
]
|
||||
)
|
||||
|
||||
books = Book.objects.values("rating").annotate(oldest=Max("authors__age")).order_by("-oldest", "-rating")
|
||||
self.assertEqual(
|
||||
list(books), [
|
||||
{
|
||||
"rating": 5.0,
|
||||
"oldest": 57,
|
||||
},
|
||||
{
|
||||
"rating": 4.0,
|
||||
"oldest": 57,
|
||||
},
|
||||
{
|
||||
"rating": 3.0,
|
||||
"oldest": 45,
|
||||
},
|
||||
{
|
||||
"rating": 4.5,
|
||||
"oldest": 35,
|
||||
}
|
||||
]
|
||||
)
|
||||
|
||||
def test_aggregate_annotation(self):
|
||||
vals = Book.objects.annotate(num_authors=Count("authors__id")).aggregate(Avg("num_authors"))
|
||||
self.assertEqual(vals, {"num_authors__avg": Approximate(1.66, places=1)})
|
||||
|
||||
def test_filtering(self):
|
||||
p = Publisher.objects.create(name='Expensive Publisher', num_awards=0)
|
||||
Book.objects.create(
|
||||
name='ExpensiveBook1',
|
||||
pages=1,
|
||||
isbn='111',
|
||||
rating=3.5,
|
||||
price=Decimal("1000"),
|
||||
publisher=p,
|
||||
contact_id=1,
|
||||
pubdate=datetime.date(2008,12,1)
|
||||
)
|
||||
Book.objects.create(
|
||||
name='ExpensiveBook2',
|
||||
pages=1,
|
||||
isbn='222',
|
||||
rating=4.0,
|
||||
price=Decimal("1000"),
|
||||
publisher=p,
|
||||
contact_id=1,
|
||||
pubdate=datetime.date(2008,12,2)
|
||||
)
|
||||
Book.objects.create(
|
||||
name='ExpensiveBook3',
|
||||
pages=1,
|
||||
isbn='333',
|
||||
rating=4.5,
|
||||
price=Decimal("35"),
|
||||
publisher=p,
|
||||
contact_id=1,
|
||||
pubdate=datetime.date(2008,12,3)
|
||||
)
|
||||
|
||||
publishers = Publisher.objects.annotate(num_books=Count("book__id")).filter(num_books__gt=1).order_by("pk")
|
||||
self.assertQuerysetEqual(
|
||||
publishers, [
|
||||
"Apress",
|
||||
"Prentice Hall",
|
||||
"Expensive Publisher",
|
||||
],
|
||||
lambda p: p.name,
|
||||
)
|
||||
|
||||
publishers = Publisher.objects.filter(book__price__lt=Decimal("40.0")).order_by("pk")
|
||||
self.assertQuerysetEqual(
|
||||
publishers, [
|
||||
"Apress",
|
||||
"Apress",
|
||||
"Sams",
|
||||
"Prentice Hall",
|
||||
"Expensive Publisher",
|
||||
],
|
||||
lambda p: p.name
|
||||
)
|
||||
|
||||
publishers = Publisher.objects.annotate(num_books=Count("book__id")).filter(num_books__gt=1, book__price__lt=Decimal("40.0")).order_by("pk")
|
||||
self.assertQuerysetEqual(
|
||||
publishers, [
|
||||
"Apress",
|
||||
"Prentice Hall",
|
||||
"Expensive Publisher",
|
||||
],
|
||||
lambda p: p.name,
|
||||
)
|
||||
|
||||
publishers = Publisher.objects.filter(book__price__lt=Decimal("40.0")).annotate(num_books=Count("book__id")).filter(num_books__gt=1).order_by("pk")
|
||||
self.assertQuerysetEqual(
|
||||
publishers, [
|
||||
"Apress",
|
||||
],
|
||||
lambda p: p.name
|
||||
)
|
||||
|
||||
publishers = Publisher.objects.annotate(num_books=Count("book")).filter(num_books__range=[1, 3]).order_by("pk")
|
||||
self.assertQuerysetEqual(
|
||||
publishers, [
|
||||
"Apress",
|
||||
"Sams",
|
||||
"Prentice Hall",
|
||||
"Morgan Kaufmann",
|
||||
"Expensive Publisher",
|
||||
],
|
||||
lambda p: p.name
|
||||
)
|
||||
|
||||
publishers = Publisher.objects.annotate(num_books=Count("book")).filter(num_books__range=[1, 2]).order_by("pk")
|
||||
self.assertQuerysetEqual(
|
||||
publishers, [
|
||||
"Apress",
|
||||
"Sams",
|
||||
"Prentice Hall",
|
||||
"Morgan Kaufmann",
|
||||
],
|
||||
lambda p: p.name
|
||||
)
|
||||
|
||||
publishers = Publisher.objects.annotate(num_books=Count("book")).filter(num_books__in=[1, 3]).order_by("pk")
|
||||
self.assertQuerysetEqual(
|
||||
publishers, [
|
||||
"Sams",
|
||||
"Morgan Kaufmann",
|
||||
"Expensive Publisher",
|
||||
],
|
||||
lambda p: p.name,
|
||||
)
|
||||
|
||||
publishers = Publisher.objects.annotate(num_books=Count("book")).filter(num_books__isnull=True)
|
||||
self.assertEqual(len(publishers), 0)
|
||||
|
||||
def test_annotation(self):
|
||||
vals = Author.objects.filter(pk=1).aggregate(Count("friends__id"))
|
||||
self.assertEqual(vals, {"friends__id__count": 2})
|
||||
|
||||
books = Book.objects.annotate(num_authors=Count("authors__name")).filter(num_authors__ge=2).order_by("pk")
|
||||
self.assertQuerysetEqual(
|
||||
books, [
|
||||
"The Definitive Guide to Django: Web Development Done Right",
|
||||
"Artificial Intelligence: A Modern Approach",
|
||||
],
|
||||
lambda b: b.name
|
||||
)
|
||||
|
||||
authors = Author.objects.annotate(num_friends=Count("friends__id", distinct=True)).filter(num_friends=0).order_by("pk")
|
||||
self.assertQuerysetEqual(
|
||||
authors, [
|
||||
"Brad Dayley",
|
||||
],
|
||||
lambda a: a.name
|
||||
)
|
||||
|
||||
publishers = Publisher.objects.annotate(num_books=Count("book__id")).filter(num_books__gt=1).order_by("pk")
|
||||
self.assertQuerysetEqual(
|
||||
publishers, [
|
||||
"Apress",
|
||||
"Prentice Hall",
|
||||
],
|
||||
lambda p: p.name
|
||||
)
|
||||
|
||||
publishers = Publisher.objects.filter(book__price__lt=Decimal("40.0")).annotate(num_books=Count("book__id")).filter(num_books__gt=1)
|
||||
self.assertQuerysetEqual(
|
||||
publishers, [
|
||||
"Apress",
|
||||
],
|
||||
lambda p: p.name
|
||||
)
|
||||
|
||||
books = Book.objects.annotate(num_authors=Count("authors__id")).filter(authors__name__contains="Norvig", num_authors__gt=1)
|
||||
self.assertQuerysetEqual(
|
||||
books, [
|
||||
"Artificial Intelligence: A Modern Approach",
|
||||
],
|
||||
lambda b: b.name
|
||||
)
|
||||
|
||||
def test_more_aggregation(self):
|
||||
a = Author.objects.get(name__contains='Norvig')
|
||||
b = Book.objects.get(name__contains='Done Right')
|
||||
b.authors.add(a)
|
||||
b.save()
|
||||
|
||||
vals = Book.objects.annotate(num_authors=Count("authors__id")).filter(authors__name__contains="Norvig", num_authors__gt=1).aggregate(Avg("rating"))
|
||||
self.assertEqual(vals, {"rating__avg": 4.25})
|
||||
|
||||
def test_even_more_aggregate(self):
|
||||
publishers = Publisher.objects.annotate(earliest_book=Min("book__pubdate")).exclude(earliest_book=None).order_by("earliest_book").values()
|
||||
self.assertEqual(
|
||||
list(publishers), [
|
||||
{
|
||||
'earliest_book': datetime.date(1991, 10, 15),
|
||||
'num_awards': 9,
|
||||
'id': 4,
|
||||
'name': u'Morgan Kaufmann'
|
||||
},
|
||||
{
|
||||
'earliest_book': datetime.date(1995, 1, 15),
|
||||
'num_awards': 7,
|
||||
'id': 3,
|
||||
'name': u'Prentice Hall'
|
||||
},
|
||||
{
|
||||
'earliest_book': datetime.date(2007, 12, 6),
|
||||
'num_awards': 3,
|
||||
'id': 1,
|
||||
'name': u'Apress'
|
||||
},
|
||||
{
|
||||
'earliest_book': datetime.date(2008, 3, 3),
|
||||
'num_awards': 1,
|
||||
'id': 2,
|
||||
'name': u'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),
|
||||
]
|
||||
)
|
||||
Loading…
Reference in New Issue