Fixed #25508 -- Modified QuerySet.__repr__() to disambiguate it from a list.

This commit is contained in:
Tim Graham 2015-10-05 19:07:34 -04:00
parent 3543fec3b7
commit e0837f2cb1
20 changed files with 185 additions and 184 deletions

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@ -234,7 +234,7 @@ class QuerySet(object):
data = list(self[:REPR_OUTPUT_SIZE + 1])
if len(data) > REPR_OUTPUT_SIZE:
data[-1] = "...(remaining elements truncated)..."
return repr(data)
return '<QuerySet %r>' % data
def __len__(self):
self._fetch_all()

View File

@ -73,7 +73,7 @@ necessary:
# No reporters are in the system yet.
>>> Reporter.objects.all()
[]
<QuerySet []>
# Create a new Reporter.
>>> r = Reporter(full_name='John Smith')
@ -87,7 +87,7 @@ necessary:
# Now the new reporter is in the database.
>>> Reporter.objects.all()
[<Reporter: John Smith>]
<QuerySet [<Reporter: John Smith>]>
# Fields are represented as attributes on the Python object.
>>> r.full_name
@ -113,7 +113,7 @@ necessary:
# Now the article is in the database.
>>> Article.objects.all()
[<Article: Django is cool>]
<QuerySet [<Article: Django is cool>]>
# Article objects get API access to related Reporter objects.
>>> r = a.reporter
@ -122,13 +122,13 @@ necessary:
# And vice versa: Reporter objects get API access to Article objects.
>>> r.article_set.all()
[<Article: Django is cool>]
<QuerySet [<Article: Django is cool>]>
# The API follows relationships as far as you need, performing efficient
# JOINs for you behind the scenes.
# This finds all articles by a reporter whose name starts with "John".
>>> Article.objects.filter(reporter__full_name__startswith='John')
[<Article: Django is cool>]
<QuerySet [<Article: Django is cool>]>
# Change an object by altering its attributes and calling save().
>>> r.full_name = 'Billy Goat'

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@ -401,7 +401,7 @@ Once you're in the shell, explore the :doc:`database API </topics/db/queries>`::
# No questions are in the system yet.
>>> Question.objects.all()
[]
<QuerySet []>
# Create a new Question.
# Support for time zones is enabled in the default settings file, so
@ -432,8 +432,7 @@ Once you're in the shell, explore the :doc:`database API </topics/db/queries>`::
# objects.all() displays all the questions in the database.
>>> Question.objects.all()
[<Question: Question object>]
<QuerySet [<Question: Question object>]>
Wait a minute. ``<Question: Question object>`` is, utterly, an unhelpful representation
of this object. Let's fix that by editing the ``Question`` model (in the
@ -494,14 +493,14 @@ Save these changes and start a new Python interactive shell by running
# Make sure our __str__() addition worked.
>>> Question.objects.all()
[<Question: What's up?>]
<QuerySet [<Question: What's up?>]>
# Django provides a rich database lookup API that's entirely driven by
# keyword arguments.
>>> Question.objects.filter(id=1)
[<Question: What's up?>]
<QuerySet [<Question: What's up?>]>
>>> Question.objects.filter(question_text__startswith='What')
[<Question: What's up?>]
<QuerySet [<Question: What's up?>]>
# Get the question that was published this year.
>>> from django.utils import timezone
@ -535,7 +534,7 @@ Save these changes and start a new Python interactive shell by running
# Display any choices from the related object set -- none so far.
>>> q.choice_set.all()
[]
<QuerySet []>
# Create three choices.
>>> q.choice_set.create(choice_text='Not much', votes=0)
@ -550,7 +549,7 @@ Save these changes and start a new Python interactive shell by running
# And vice versa: Question objects get access to Choice objects.
>>> q.choice_set.all()
[<Choice: Not much>, <Choice: The sky>, <Choice: Just hacking again>]
<QuerySet [<Choice: Not much>, <Choice: The sky>, <Choice: Just hacking again>]>
>>> q.choice_set.count()
3
@ -560,7 +559,7 @@ Save these changes and start a new Python interactive shell by running
# Find all Choices for any question whose pub_date is in this year
# (reusing the 'current_year' variable we created above).
>>> Choice.objects.filter(question__pub_date__year=current_year)
[<Choice: Not much>, <Choice: The sky>, <Choice: Just hacking again>]
<QuerySet [<Choice: Not much>, <Choice: The sky>, <Choice: Just hacking again>]>
# Let's delete one of the choices. Use delete() for that.
>>> c = q.choice_set.filter(choice_text__startswith='Just hacking')

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@ -383,7 +383,7 @@ With that ready, we can ask the client to do some work for us::
>>> # If the following doesn't work, you probably omitted the call to
>>> # setup_test_environment() described above
>>> response.context['latest_question_list']
[<Question: Who is your favorite Beatle?>]
<QuerySet [<Question: Who is your favorite Beatle?>]>
Improving our view
------------------

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@ -382,7 +382,7 @@ be used to retrieve their associated ``TaggedItems``::
>>> t2 = TaggedItem(content_object=b, tag='python')
>>> t2.save()
>>> b.tags.all()
[<TaggedItem: django>, <TaggedItem: python>]
<QuerySet [<TaggedItem: django>, <TaggedItem: python>]>
Defining :class:`~django.contrib.contenttypes.fields.GenericRelation` with
``related_query_name`` set allows querying from the related object::
@ -394,7 +394,7 @@ from ``TaggedItem``::
>>> # Get all tags belonging to books containing `django` in the url
>>> TaggedItem.objects.filter(bookmarks__url__contains='django')
[<TaggedItem: django>, <TaggedItem: python>]
<QuerySet [<TaggedItem: django>, <TaggedItem: python>]>
Just as :class:`~django.contrib.contenttypes.fields.GenericForeignKey`
accepts the names of the content-type and object-ID fields as
@ -418,7 +418,7 @@ same types of lookups manually::
>>> bookmark_type = ContentType.objects.get_for_model(b)
>>> TaggedItem.objects.filter(content_type__pk=bookmark_type.id,
... object_id=b.id)
[<TaggedItem: django>, <TaggedItem: python>]
<QuerySet [<TaggedItem: django>, <TaggedItem: python>]>
Note that if the model in a
:class:`~django.contrib.contenttypes.fields.GenericRelation` uses a

View File

@ -588,9 +588,8 @@ Consortium (OGC). [#]_ Import the ``WorldBorder`` model, and perform
a ``contains`` lookup using the ``pnt_wkt`` as the parameter::
>>> from world.models import WorldBorder
>>> qs = WorldBorder.objects.filter(mpoly__contains=pnt_wkt)
>>> qs
[<WorldBorder: United States>]
>>> WorldBorder.objects.filter(mpoly__contains=pnt_wkt)
<QuerySet [<WorldBorder: United States>]>
Here, you retrieved a ``QuerySet`` with only one model: the border of the
United States (exactly what you would expect).
@ -602,8 +601,7 @@ of a queryset::
>>> from django.contrib.gis.geos import Point
>>> pnt = Point(12.4604, 43.9420)
>>> sm = WorldBorder.objects.get(mpoly__intersects=pnt)
>>> sm
>>> WorldBorder.objects.get(mpoly__intersects=pnt)
<WorldBorder: San Marino>
The ``contains`` and ``intersects`` lookups are just a subset of the
@ -638,7 +636,7 @@ of abstraction::
"world_worldborder"."mpoly" FROM "world_worldborder"
WHERE ST_Intersects("world_worldborder"."mpoly", ST_Transform(%s, 4326))
>>> qs # printing evaluates the queryset
[<WorldBorder: United States>]
<QuerySet [<WorldBorder: United States>]>
__ http://spatialreference.org/ref/epsg/32140/

View File

@ -120,13 +120,13 @@ data. It uses the SQL operator ``@>``. For example::
>>> Post.objects.create(name='Third post', tags=['tutorial', 'django'])
>>> Post.objects.filter(tags__contains=['thoughts'])
[<Post: First post>, <Post: Second post>]
<QuerySet [<Post: First post>, <Post: Second post>]>
>>> Post.objects.filter(tags__contains=['django'])
[<Post: First post>, <Post: Third post>]
<QuerySet [<Post: First post>, <Post: Third post>]>
>>> Post.objects.filter(tags__contains=['django', 'thoughts'])
[<Post: First post>]
<QuerySet [<Post: First post>]>
.. fieldlookup:: arrayfield.contained_by
@ -142,10 +142,10 @@ passed. It uses the SQL operator ``<@``. For example::
>>> Post.objects.create(name='Third post', tags=['tutorial', 'django'])
>>> Post.objects.filter(tags__contained_by=['thoughts', 'django'])
[<Post: First post>, <Post: Second post>]
<QuerySet [<Post: First post>, <Post: Second post>]>
>>> Post.objects.filter(tags__contained_by=['thoughts', 'django', 'tutorial'])
[<Post: First post>, <Post: Second post>, <Post: Third post>]
<QuerySet [<Post: First post>, <Post: Second post>, <Post: Third post>]>
.. fieldlookup:: arrayfield.overlap
@ -160,10 +160,10 @@ the SQL operator ``&&``. For example::
>>> Post.objects.create(name='Third post', tags=['tutorial', 'django'])
>>> Post.objects.filter(tags__overlap=['thoughts'])
[<Post: First post>, <Post: Second post>]
<QuerySet [<Post: First post>, <Post: Second post>]>
>>> Post.objects.filter(tags__overlap=['thoughts', 'tutorial'])
[<Post: First post>, <Post: Second post>, <Post: Third post>]
<QuerySet [<Post: First post>, <Post: Second post>, <Post: Third post>]>
.. fieldlookup:: arrayfield.len
@ -177,7 +177,7 @@ available for :class:`~django.db.models.IntegerField`. For example::
>>> Post.objects.create(name='Second post', tags=['thoughts'])
>>> Post.objects.filter(tags__len=1)
[<Post: Second post>]
<QuerySet [<Post: Second post>]>
.. fieldlookup:: arrayfield.index
@ -194,13 +194,13 @@ example::
>>> Post.objects.create(name='Second post', tags=['thoughts'])
>>> Post.objects.filter(tags__0='thoughts')
[<Post: First post>, <Post: Second post>]
<QuerySet [<Post: First post>, <Post: Second post>]>
>>> Post.objects.filter(tags__1__iexact='Django')
[<Post: First post>]
<QuerySet [<Post: First post>]>
>>> Post.objects.filter(tags__276='javascript')
[]
<QuerySet []>
.. note::
@ -222,10 +222,10 @@ lookups available after the transform do not change. For example::
>>> Post.objects.create(name='Third post', tags=['django', 'python', 'thoughts'])
>>> Post.objects.filter(tags__0_1=['thoughts'])
[<Post: First post>]
<QuerySet [<Post: First post>]>
>>> Post.objects.filter(tags__0_2__contains='thoughts')
[<Post: First post>, <Post: Second post>]
<QuerySet [<Post: First post>, <Post: Second post>]>
.. note::
@ -320,12 +320,12 @@ To query based on a given key, you simply use that key as the lookup name::
>>> Dog.objects.create(name='Meg', data={'breed': 'collie'})
>>> Dog.objects.filter(data__breed='collie')
[<Dog: Meg>]
<QuerySet [<Dog: Meg>]>
You can chain other lookups after key lookups::
>>> Dog.objects.filter(data__breed__contains='l')
[<Dog: Rufus>, <Dog: Meg>]
<QuerySet [<Dog: Rufus>, <Dog: Meg>]>
If the key you wish to query by clashes with the name of another lookup, you
need to use the :lookup:`hstorefield.contains` lookup instead.
@ -352,10 +352,10 @@ field. It uses the SQL operator ``@>``. For example::
>>> Dog.objects.create(name='Fred', data={})
>>> Dog.objects.filter(data__contains={'owner': 'Bob'})
[<Dog: Rufus>, <Dog: Meg>]
<QuerySet [<Dog: Rufus>, <Dog: Meg>]>
>>> Dog.objects.filter(data__contains={'breed': 'collie'})
[<Dog: Meg>]
<QuerySet [<Dog: Meg>]>
.. fieldlookup:: hstorefield.contained_by
@ -372,10 +372,10 @@ example::
>>> Dog.objects.create(name='Fred', data={})
>>> Dog.objects.filter(data__contained_by={'breed': 'collie', 'owner': 'Bob'})
[<Dog: Meg>, <Dog: Fred>]
<QuerySet [<Dog: Meg>, <Dog: Fred>]>
>>> Dog.objects.filter(data__contained_by={'breed': 'collie'})
[<Dog: Fred>]
<QuerySet [<Dog: Fred>]>
.. fieldlookup:: hstorefield.has_key
@ -389,7 +389,7 @@ Returns objects where the given key is in the data. Uses the SQL operator
>>> Dog.objects.create(name='Meg', data={'breed': 'collie', 'owner': 'Bob'})
>>> Dog.objects.filter(data__has_key='owner')
[<Dog: Meg>]
<QuerySet [<Dog: Meg>]>
.. fieldlookup:: hstorefield.has_any_keys
@ -406,7 +406,7 @@ operator ``?|``. For example::
>>> Dog.objects.create(name='Fred', data={})
>>> Dog.objects.filter(data__has_any_keys=['owner', 'breed'])
[<Dog: Rufus>, <Dog: Meg>]
<QuerySet [<Dog: Rufus>, <Dog: Meg>]>
.. fieldlookup:: hstorefield.has_keys
@ -420,7 +420,7 @@ Returns objects where all of the given keys are in the data. Uses the SQL operat
>>> Dog.objects.create(name='Meg', data={'breed': 'collie', 'owner': 'Bob'})
>>> Dog.objects.filter(data__has_keys=['breed', 'owner'])
[<Dog: Meg>]
<QuerySet [<Dog: Meg>]>
.. fieldlookup:: hstorefield.keys
@ -437,7 +437,7 @@ in conjunction with lookups on
>>> Dog.objects.create(name='Meg', data={'breed': 'collie', 'owner': 'Bob'})
>>> Dog.objects.filter(data__keys__overlap=['breed', 'toy'])
[<Dog: Rufus>, <Dog: Meg>]
<QuerySet [<Dog: Rufus>, <Dog: Meg>]>
.. fieldlookup:: hstorefield.values
@ -454,7 +454,7 @@ using in conjunction with lookups on
>>> Dog.objects.create(name='Meg', data={'breed': 'collie', 'owner': 'Bob'})
>>> Dog.objects.filter(data__values__contains=['collie'])
[<Dog: Meg>]
<QuerySet [<Dog: Meg>]>
JSONField
---------
@ -521,18 +521,18 @@ name::
>>> Dog.objects.create(name='Meg', data={'breed': 'collie'})
>>> Dog.objects.filter(data__breed='collie')
[<Dog: Meg>]
<QuerySet [<Dog: Meg>]>
Multiple keys can be chained together to form a path lookup::
>>> Dog.objects.filter(data__owner__name='Bob')
[<Dog: Rufus>]
<QuerySet [<QuerySet <Dog: Rufus>]>
If the key is an integer, it will be interpreted as an index lookup in an
array::
>>> Dog.objects.filter(data__owner__other_pets__0__name='Fishy')
[<Dog: Rufus>]
<QuerySet [<Dog: Rufus>]>
If the key you wish to query by clashes with the name of another lookup, use
the :lookup:`jsonfield.contains` lookup instead.
@ -673,7 +673,7 @@ contains
''''''''
>>> Event.objects.filter(ages__contains=NumericRange(4, 5))
[<Event: Soft play>]
<QuerySet [<Event: Soft play>]>
.. fieldlookup:: rangefield.contained_by
@ -681,7 +681,7 @@ contained_by
''''''''''''
>>> Event.objects.filter(ages__contained_by=NumericRange(0, 15))
[<Event: Soft play>]
<QuerySet [<Event: Soft play>]>
.. versionadded 1.9
@ -697,7 +697,7 @@ contained_by
... timezone.now() - datetime.timedelta(hours=1),
... timezone.now() + datetime.timedelta(hours=1),
... )
[<Event: Soft play>]
<QuerySet [<Event: Soft play>]>
.. fieldlookup:: rangefield.overlap
@ -705,7 +705,7 @@ overlap
'''''''
>>> Event.objects.filter(ages__overlap=NumericRange(8, 12))
[<Event: Soft play>]
<QuerySet [<Event: Soft play>]>
Comparison functions
~~~~~~~~~~~~~~~~~~~~
@ -726,7 +726,7 @@ all the points in the returned range are less than all those in the passed
range.
>>> Event.objects.filter(ages__fully_lt=NumericRange(11, 15))
[<Event: Soft play>]
<QuerySet [<Event: Soft play>]>
.. fieldlookup:: rangefield.fully_gt
@ -738,7 +738,7 @@ the all the points in the returned range are greater than all those in the
passed range.
>>> Event.objects.filter(ages__fully_gt=NumericRange(11, 15))
[<Event: Pub trip>]
<QuerySet [<Event: Pub trip>]>
.. fieldlookup:: rangefield.not_lt
@ -750,7 +750,7 @@ is the lower bound of the returned range is at least the lower bound of the
passed range.
>>> Event.objects.filter(ages__not_lt=NumericRange(0, 15))
[<Event: Soft play>, <Event: Pub trip>]
<QuerySet [<Event: Soft play>, <Event: Pub trip>]>
.. fieldlookup:: rangefield.not_gt
@ -762,7 +762,7 @@ is the upper bound of the returned range is at most the upper bound of the
passed range.
>>> Event.objects.filter(ages__not_gt=NumericRange(3, 10))
[<Event: Soft play>]
<QuerySet [<Event: Soft play>]>
.. fieldlookup:: rangefield.adjacent_to
@ -772,7 +772,7 @@ adjacent_to
The returned ranges share a bound with the passed range.
>>> Event.objects.filter(ages__adjacent_to=NumericRange(10, 21))
[<Event: Soft play>, <Event: Pub trip>]
<QuerySet [<Event: Soft play>, <Event: Pub trip>]>
Querying using the bounds
~~~~~~~~~~~~~~~~~~~~~~~~~
@ -789,7 +789,7 @@ Returned objects have the given lower bound. Can be chained to valid lookups
for the base field.
>>> Event.objects.filter(ages__startswith=21)
[<Event: Pub trip>]
<QuerySet [<Event: Pub trip>]>
.. fieldlookup:: rangefield.endswith
@ -800,7 +800,7 @@ Returned objects have the given upper bound. Can be chained to valid lookups
for the base field.
>>> Event.objects.filter(ages__endswith=10)
[<Event: Soft play>]
<QuerySet [<Event: Soft play>]>
.. fieldlookup:: rangefield.isempty
@ -811,7 +811,7 @@ Returned objects are empty ranges. Can be chained to valid lookups for a
:class:`~django.db.models.BooleanField`.
>>> Event.objects.filter(ages__isempty=True)
[]
<QuerySet []>
Defining your own range types
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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@ -28,4 +28,4 @@ Usage example::
>>> from django.contrib.postgres.functions import TransactionNow
>>> Article.objects.filter(published__lte=TransactionNow())
[<Article: How to Django>]
<QuerySet [<Article: How to Django>]>

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@ -226,7 +226,7 @@ Usage example::
>>> from django.db.models.functions import Now
>>> Article.objects.filter(published__lte=Now())
[<Article: How to Django>]
<QuerySet [<Article: How to Django>]>
.. admonition:: PostgreSQL considerations

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@ -513,11 +513,11 @@ objects::
# This list contains a Blog object.
>>> Blog.objects.filter(name__startswith='Beatles')
[<Blog: Beatles Blog>]
<QuerySet [<Blog: Beatles Blog>]>
# This list contains a dictionary.
>>> Blog.objects.filter(name__startswith='Beatles').values()
[{'id': 1, 'name': 'Beatles Blog', 'tagline': 'All the latest Beatles news.'}]
<QuerySet [{'id': 1, 'name': 'Beatles Blog', 'tagline': 'All the latest Beatles news.'}]>
The ``values()`` method takes optional positional arguments, ``*fields``, which
specify field names to which the ``SELECT`` should be limited. If you specify
@ -528,9 +528,9 @@ contain a key and value for every field in the database table.
Example::
>>> Blog.objects.values()
[{'id': 1, 'name': 'Beatles Blog', 'tagline': 'All the latest Beatles news.'}],
<QuerySet [{'id': 1, 'name': 'Beatles Blog', 'tagline': 'All the latest Beatles news.'}]>
>>> Blog.objects.values('id', 'name')
[{'id': 1, 'name': 'Beatles Blog'}]
<QuerySet [{'id': 1, 'name': 'Beatles Blog'}]>
A few subtleties that are worth mentioning:
@ -546,13 +546,13 @@ A few subtleties that are worth mentioning:
For example::
>>> Entry.objects.values()
[{'blog_id': 1, 'headline': 'First Entry', ...}, ...]
<QuerySet [{'blog_id': 1, 'headline': 'First Entry', ...}, ...]>
>>> Entry.objects.values('blog')
[{'blog': 1}, ...]
<QuerySet [{'blog': 1}, ...]>
>>> Entry.objects.values('blog_id')
[{'blog_id': 1}, ...]
<QuerySet [{'blog_id': 1}, ...]>
* When using ``values()`` together with :meth:`distinct()`, be aware that
ordering can affect the results. See the note in :meth:`distinct` for
@ -585,9 +585,9 @@ individualism.
You can also refer to fields on related models with reverse relations through
``OneToOneField``, ``ForeignKey`` and ``ManyToManyField`` attributes::
Blog.objects.values('name', 'entry__headline')
[{'name': 'My blog', 'entry__headline': 'An entry'},
{'name': 'My blog', 'entry__headline': 'Another entry'}, ...]
>>> Blog.objects.values('name', 'entry__headline')
<QuerySet [{'name': 'My blog', 'entry__headline': 'An entry'},
{'name': 'My blog', 'entry__headline': 'Another entry'}, ...]>
.. warning::
@ -717,7 +717,7 @@ is an instance of ``EmptyQuerySet``.
Examples::
>>> Entry.objects.none()
[]
<QuerySet []>
>>> from django.db.models.query import EmptyQuerySet
>>> isinstance(Entry.objects.none(), EmptyQuerySet)
True
@ -3015,11 +3015,11 @@ as the string based lookups passed to
:meth:`~django.db.models.query.QuerySet.prefetch_related()`. For example:
>>> Question.objects.prefetch_related(Prefetch('choice_set')).get().choice_set.all()
[<Choice: Not much>, <Choice: The sky>, <Choice: Just hacking again>]
<QuerySet [<Choice: Not much>, <Choice: The sky>, <Choice: Just hacking again>]>
# This will only execute two queries regardless of the number of Question
# and Choice objects.
>>> Question.objects.prefetch_related(Prefetch('choice_set')).all()
[<Question: Question object>]
<QuerySet [<Question: Question object>]>
The ``queryset`` argument supplies a base ``QuerySet`` for the given lookup.
This is useful to further filter down the prefetch operation, or to call
@ -3028,19 +3028,19 @@ relation, hence reducing the number of queries even further:
>>> voted_choices = Choice.objects.filter(votes__gt=0)
>>> voted_choices
[<Choice: The sky>]
<QuerySet [<Choice: The sky>]>
>>> prefetch = Prefetch('choice_set', queryset=voted_choices)
>>> Question.objects.prefetch_related(prefetch).get().choice_set.all()
[<Choice: The sky>]
<QuerySet [<Choice: The sky>]>
The ``to_attr`` argument sets the result of the prefetch operation to a custom
attribute:
>>> prefetch = Prefetch('choice_set', queryset=voted_choices, to_attr='voted_choices')
>>> Question.objects.prefetch_related(prefetch).get().voted_choices
[<Choice: The sky>]
<QuerySet [<Choice: The sky>]>
>>> Question.objects.prefetch_related(prefetch).get().choice_set.all()
[<Choice: Not much>, <Choice: The sky>, <Choice: Just hacking again>]
<QuerySet [<Choice: Not much>, <Choice: The sky>, <Choice: Just hacking again>]>
.. note::

View File

@ -219,7 +219,8 @@ Database backend API
Miscellaneous
~~~~~~~~~~~~~
* ...
* The ``repr()`` of a ``QuerySet`` is wrapped in ```<QuerySet >`` to
disambiguate it from a plain list when debugging.
.. _deprecated-features-1.10:

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@ -79,7 +79,7 @@ In a hurry? Here's how to do common aggregate queries, assuming the models above
>>> from django.db.models import Count
>>> pubs = Publisher.objects.annotate(num_books=Count('book'))
>>> pubs
[<Publisher BaloneyPress>, <Publisher SalamiPress>, ...]
<QuerySet [<Publisher: BaloneyPress>, <Publisher: SalamiPress>, ...]>
>>> pubs[0].num_books
73

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@ -93,36 +93,36 @@ Create and add a ``Publication`` to an ``Article`` in one step using
``Article`` objects have access to their related ``Publication`` objects::
>>> a1.publications.all()
[<Publication: The Python Journal>]
<QuerySet [<Publication: The Python Journal>]>
>>> a2.publications.all()
[<Publication: Highlights for Children>, <Publication: Science News>, <Publication: Science Weekly>, <Publication: The Python Journal>]
<QuerySet [<Publication: Highlights for Children>, <Publication: Science News>, <Publication: Science Weekly>, <Publication: The Python Journal>]>
``Publication`` objects have access to their related ``Article`` objects::
>>> p2.article_set.all()
[<Article: NASA uses Python>]
<QuerySet [<Article: NASA uses Python>]>
>>> p1.article_set.all()
[<Article: Django lets you build Web apps easily>, <Article: NASA uses Python>]
<QuerySet [<Article: Django lets you build Web apps easily>, <Article: NASA uses Python>]>
>>> Publication.objects.get(id=4).article_set.all()
[<Article: NASA uses Python>]
<QuerySet [<Article: NASA uses Python>]>
Many-to-many relationships can be queried using :ref:`lookups across
relationships <lookups-that-span-relationships>`::
>>> Article.objects.filter(publications__id=1)
[<Article: Django lets you build Web apps easily>, <Article: NASA uses Python>]
<QuerySet [<Article: Django lets you build Web apps easily>, <Article: NASA uses Python>]>
>>> Article.objects.filter(publications__pk=1)
[<Article: Django lets you build Web apps easily>, <Article: NASA uses Python>]
<QuerySet [<Article: Django lets you build Web apps easily>, <Article: NASA uses Python>]>
>>> Article.objects.filter(publications=1)
[<Article: Django lets you build Web apps easily>, <Article: NASA uses Python>]
<QuerySet [<Article: Django lets you build Web apps easily>, <Article: NASA uses Python>]>
>>> Article.objects.filter(publications=p1)
[<Article: Django lets you build Web apps easily>, <Article: NASA uses Python>]
<QuerySet [<Article: Django lets you build Web apps easily>, <Article: NASA uses Python>]>
>>> Article.objects.filter(publications__title__startswith="Science")
[<Article: NASA uses Python>, <Article: NASA uses Python>]
<QuerySet [<Article: NASA uses Python>, <Article: NASA uses Python>]>
>>> Article.objects.filter(publications__title__startswith="Science").distinct()
[<Article: NASA uses Python>]
<QuerySet [<Article: NASA uses Python>]>
The :meth:`~django.db.models.query.QuerySet.count` function respects
:meth:`~django.db.models.query.QuerySet.distinct` as well::
@ -134,57 +134,57 @@ The :meth:`~django.db.models.query.QuerySet.count` function respects
1
>>> Article.objects.filter(publications__in=[1,2]).distinct()
[<Article: Django lets you build Web apps easily>, <Article: NASA uses Python>]
<QuerySet [<Article: Django lets you build Web apps easily>, <Article: NASA uses Python>]>
>>> Article.objects.filter(publications__in=[p1,p2]).distinct()
[<Article: Django lets you build Web apps easily>, <Article: NASA uses Python>]
<QuerySet [<Article: Django lets you build Web apps easily>, <Article: NASA uses Python>]>
Reverse m2m queries are supported (i.e., starting at the table that doesn't have
a :class:`~django.db.models.ManyToManyField`)::
>>> Publication.objects.filter(id=1)
[<Publication: The Python Journal>]
<QuerySet [<Publication: The Python Journal>]>
>>> Publication.objects.filter(pk=1)
[<Publication: The Python Journal>]
<QuerySet [<Publication: The Python Journal>]>
>>> Publication.objects.filter(article__headline__startswith="NASA")
[<Publication: Highlights for Children>, <Publication: Science News>, <Publication: Science Weekly>, <Publication: The Python Journal>]
<QuerySet [<Publication: Highlights for Children>, <Publication: Science News>, <Publication: Science Weekly>, <Publication: The Python Journal>]>
>>> Publication.objects.filter(article__id=1)
[<Publication: The Python Journal>]
<QuerySet [<Publication: The Python Journal>]>
>>> Publication.objects.filter(article__pk=1)
[<Publication: The Python Journal>]
<QuerySet [<Publication: The Python Journal>]>
>>> Publication.objects.filter(article=1)
[<Publication: The Python Journal>]
<QuerySet [<Publication: The Python Journal>]>
>>> Publication.objects.filter(article=a1)
[<Publication: The Python Journal>]
<QuerySet [<Publication: The Python Journal>]>
>>> Publication.objects.filter(article__in=[1,2]).distinct()
[<Publication: Highlights for Children>, <Publication: Science News>, <Publication: Science Weekly>, <Publication: The Python Journal>]
<QuerySet [<Publication: Highlights for Children>, <Publication: Science News>, <Publication: Science Weekly>, <Publication: The Python Journal>]>
>>> Publication.objects.filter(article__in=[a1,a2]).distinct()
[<Publication: Highlights for Children>, <Publication: Science News>, <Publication: Science Weekly>, <Publication: The Python Journal>]
<QuerySet [<Publication: Highlights for Children>, <Publication: Science News>, <Publication: Science Weekly>, <Publication: The Python Journal>]>
Excluding a related item works as you would expect, too (although the SQL
involved is a little complex)::
>>> Article.objects.exclude(publications=p2)
[<Article: Django lets you build Web apps easily>]
<QuerySet [<Article: Django lets you build Web apps easily>]>
If we delete a ``Publication``, its ``Articles`` won't be able to access it::
>>> p1.delete()
>>> Publication.objects.all()
[<Publication: Highlights for Children>, <Publication: Science News>, <Publication: Science Weekly>]
<QuerySet [<Publication: Highlights for Children>, <Publication: Science News>, <Publication: Science Weekly>]>
>>> a1 = Article.objects.get(pk=1)
>>> a1.publications.all()
[]
<QuerySet []>
If we delete an ``Article``, its ``Publications`` won't be able to access it::
>>> a2.delete()
>>> Article.objects.all()
[<Article: Django lets you build Web apps easily>]
<QuerySet [<Article: Django lets you build Web apps easily>]>
>>> p2.article_set.all()
[]
<QuerySet []>
Adding via the 'other' end of an m2m::
@ -192,61 +192,61 @@ Adding via the 'other' end of an m2m::
>>> a4.save()
>>> p2.article_set.add(a4)
>>> p2.article_set.all()
[<Article: NASA finds intelligent life on Earth>]
<QuerySet [<Article: NASA finds intelligent life on Earth>]>
>>> a4.publications.all()
[<Publication: Science News>]
<QuerySet [<Publication: Science News>]>
Adding via the other end using keywords::
>>> new_article = p2.article_set.create(headline='Oxygen-free diet works wonders')
>>> p2.article_set.all()
[<Article: NASA finds intelligent life on Earth>, <Article: Oxygen-free diet works wonders>]
<QuerySet [<Article: NASA finds intelligent life on Earth>, <Article: Oxygen-free diet works wonders>]>
>>> a5 = p2.article_set.all()[1]
>>> a5.publications.all()
[<Publication: Science News>]
<QuerySet [<Publication: Science News>]>
Removing ``Publication`` from an ``Article``::
>>> a4.publications.remove(p2)
>>> p2.article_set.all()
[<Article: Oxygen-free diet works wonders>]
<QuerySet [<Article: Oxygen-free diet works wonders>]>
>>> a4.publications.all()
[]
<QuerySet []>
And from the other end::
>>> p2.article_set.remove(a5)
>>> p2.article_set.all()
[]
<QuerySet []>
>>> a5.publications.all()
[]
<QuerySet []>
Relation sets can be assigned. Assignment clears any existing set members::
>>> a4.publications.all()
[<Publication: Science News>]
<QuerySet [<Publication: Science News>]>
>>> a4.publications = [p3]
>>> a4.publications.all()
[<Publication: Science Weekly>]
<QuerySet [<Publication: Science Weekly>]>
Relation sets can be cleared::
>>> p2.article_set.clear()
>>> p2.article_set.all()
[]
<QuerySet []>
And you can clear from the other end::
>>> p2.article_set.add(a4, a5)
>>> p2.article_set.all()
[<Article: NASA finds intelligent life on Earth>, <Article: Oxygen-free diet works wonders>]
<QuerySet [<Article: NASA finds intelligent life on Earth>, <Article: Oxygen-free diet works wonders>]>
>>> a4.publications.all()
[<Publication: Science News>, <Publication: Science Weekly>]
<QuerySet [<Publication: Science News>, <Publication: Science Weekly>]>
>>> a4.publications.clear()
>>> a4.publications.all()
[]
<QuerySet []>
>>> p2.article_set.all()
[<Article: Oxygen-free diet works wonders>]
<QuerySet [<Article: Oxygen-free diet works wonders>]>
Recreate the ``Article`` and ``Publication`` we have deleted::
@ -261,17 +261,17 @@ go::
>>> Publication.objects.filter(title__startswith='Science').delete()
>>> Publication.objects.all()
[<Publication: Highlights for Children>, <Publication: The Python Journal>]
<QuerySet [<Publication: Highlights for Children>, <Publication: The Python Journal>]>
>>> Article.objects.all()
[<Article: Django lets you build Web apps easily>, <Article: NASA finds intelligent life on Earth>, <Article: NASA uses Python>, <Article: Oxygen-free diet works wonders>]
<QuerySet [<Article: Django lets you build Web apps easily>, <Article: NASA finds intelligent life on Earth>, <Article: NASA uses Python>, <Article: Oxygen-free diet works wonders>]>
>>> a2.publications.all()
[<Publication: The Python Journal>]
<QuerySet [<Publication: The Python Journal>]>
Bulk delete some articles - references to deleted objects should go::
>>> q = Article.objects.filter(headline__startswith='Django')
>>> print(q)
[<Article: Django lets you build Web apps easily>]
<QuerySet [<Article: Django lets you build Web apps easily>]>
>>> q.delete()
After the :meth:`~django.db.models.query.QuerySet.delete`, the
@ -279,9 +279,9 @@ After the :meth:`~django.db.models.query.QuerySet.delete`, the
referenced objects should be gone::
>>> print(q)
[]
<QuerySet []>
>>> p1.article_set.all()
[<Article: NASA uses Python>]
<QuerySet [<Article: NASA uses Python>]>
An alternate to calling
:meth:`~django.db.models.fields.related.RelatedManager.clear` is to assign the
@ -289,11 +289,11 @@ empty set::
>>> p1.article_set = []
>>> p1.article_set.all()
[]
<QuerySet []>
>>> a2.publications = [p1, new_publication]
>>> a2.publications.all()
[<Publication: Highlights for Children>, <Publication: The Python Journal>]
<QuerySet [<Publication: Highlights for Children>, <Publication: The Python Journal>]>
>>> a2.publications = []
>>> a2.publications.all()
[]
<QuerySet []>

View File

@ -90,7 +90,7 @@ Create a new article, and add it to the article set::
>>> new_article2.reporter.id
1
>>> r.article_set.all()
[<Article: John's second story>, <Article: Paul's story>, <Article: This is a test>]
<QuerySet [<Article: John's second story>, <Article: Paul's story>, <Article: This is a test>]>
Add the same article to a different article set - check that it moves::
@ -108,9 +108,9 @@ Adding an object of the wrong type raises TypeError::
TypeError: 'Article' instance expected
>>> r.article_set.all()
[<Article: John's second story>, <Article: This is a test>]
<QuerySet [<Article: John's second story>, <Article: This is a test>]>
>>> r2.article_set.all()
[<Article: Paul's story>]
<QuerySet [<Article: Paul's story>]>
>>> r.article_set.count()
2
@ -126,56 +126,56 @@ Use double underscores to separate relationships.
This works as many levels deep as you want. There's no limit. For example::
>>> r.article_set.filter(headline__startswith='This')
[<Article: This is a test>]
<QuerySet [<Article: This is a test>]>
# Find all Articles for any Reporter whose first name is "John".
>>> Article.objects.filter(reporter__first_name='John')
[<Article: John's second story>, <Article: This is a test>]
<QuerySet [<Article: John's second story>, <Article: This is a test>]>
Exact match is implied here::
>>> Article.objects.filter(reporter__first_name='John')
[<Article: John's second story>, <Article: This is a test>]
<QuerySet [<Article: John's second story>, <Article: This is a test>]>
Query twice over the related field. This translates to an AND condition in the
WHERE clause::
>>> Article.objects.filter(reporter__first_name='John', reporter__last_name='Smith')
[<Article: John's second story>, <Article: This is a test>]
<QuerySet [<Article: John's second story>, <Article: This is a test>]>
For the related lookup you can supply a primary key value or pass the related
object explicitly::
>>> Article.objects.filter(reporter__pk=1)
[<Article: John's second story>, <Article: This is a test>]
<QuerySet [<Article: John's second story>, <Article: This is a test>]>
>>> Article.objects.filter(reporter=1)
[<Article: John's second story>, <Article: This is a test>]
<QuerySet [<Article: John's second story>, <Article: This is a test>]>
>>> Article.objects.filter(reporter=r)
[<Article: John's second story>, <Article: This is a test>]
<QuerySet [<Article: John's second story>, <Article: This is a test>]>
>>> Article.objects.filter(reporter__in=[1,2]).distinct()
[<Article: John's second story>, <Article: Paul's story>, <Article: This is a test>]
<QuerySet [<Article: John's second story>, <Article: Paul's story>, <Article: This is a test>]>
>>> Article.objects.filter(reporter__in=[r,r2]).distinct()
[<Article: John's second story>, <Article: Paul's story>, <Article: This is a test>]
<QuerySet [<Article: John's second story>, <Article: Paul's story>, <Article: This is a test>]>
You can also use a queryset instead of a literal list of instances::
>>> Article.objects.filter(reporter__in=Reporter.objects.filter(first_name='John')).distinct()
[<Article: John's second story>, <Article: This is a test>]
<QuerySet [<Article: John's second story>, <Article: This is a test>]>
Querying in the opposite direction::
>>> Reporter.objects.filter(article__pk=1)
[<Reporter: John Smith>]
<QuerySet [<Reporter: John Smith>]>
>>> Reporter.objects.filter(article=1)
[<Reporter: John Smith>]
<QuerySet [<Reporter: John Smith>]>
>>> Reporter.objects.filter(article=a)
[<Reporter: John Smith>]
<QuerySet [<Reporter: John Smith>]>
>>> Reporter.objects.filter(article__headline__startswith='This')
[<Reporter: John Smith>, <Reporter: John Smith>, <Reporter: John Smith>]
<QuerySet [<Reporter: John Smith>, <Reporter: John Smith>, <Reporter: John Smith>]>
>>> Reporter.objects.filter(article__headline__startswith='This').distinct()
[<Reporter: John Smith>]
<QuerySet [<Reporter: John Smith>]>
Counting in the opposite direction works in conjunction with distinct()::
@ -187,30 +187,30 @@ Counting in the opposite direction works in conjunction with distinct()::
Queries can go round in circles::
>>> Reporter.objects.filter(article__reporter__first_name__startswith='John')
[<Reporter: John Smith>, <Reporter: John Smith>, <Reporter: John Smith>, <Reporter: John Smith>]
<QuerySet [<Reporter: John Smith>, <Reporter: John Smith>, <Reporter: John Smith>, <Reporter: John Smith>]>
>>> Reporter.objects.filter(article__reporter__first_name__startswith='John').distinct()
[<Reporter: John Smith>]
<QuerySet [<Reporter: John Smith>]>
>>> Reporter.objects.filter(article__reporter=r).distinct()
[<Reporter: John Smith>]
<QuerySet [<Reporter: John Smith>]>
If you delete a reporter, his articles will be deleted (assuming that the
ForeignKey was defined with :attr:`django.db.models.ForeignKey.on_delete` set to
``CASCADE``, which is the default)::
>>> Article.objects.all()
[<Article: John's second story>, <Article: Paul's story>, <Article: This is a test>]
<QuerySet [<Article: John's second story>, <Article: Paul's story>, <Article: This is a test>]>
>>> Reporter.objects.order_by('first_name')
[<Reporter: John Smith>, <Reporter: Paul Jones>]
<QuerySet [<Reporter: John Smith>, <Reporter: Paul Jones>]>
>>> r2.delete()
>>> Article.objects.all()
[<Article: John's second story>, <Article: This is a test>]
<QuerySet [<Article: John's second story>, <Article: This is a test>]>
>>> Reporter.objects.order_by('first_name')
[<Reporter: John Smith>]
<QuerySet [<Reporter: John Smith>]>
You can delete using a JOIN in the query::
>>> Reporter.objects.filter(article__headline__startswith='This').delete()
>>> Reporter.objects.all()
[]
<QuerySet []>
>>> Article.objects.all()
[]
<QuerySet []>

View File

@ -106,13 +106,13 @@ that there are two restaurants - Ace Hardware the Restaurant was created in the
call to r.place = p2::
>>> Restaurant.objects.all()
[<Restaurant: Demon Dogs the restaurant>, <Restaurant: Ace Hardware the restaurant>]
<QuerySet [<Restaurant: Demon Dogs the restaurant>, <Restaurant: Ace Hardware the restaurant>]>
Place.objects.all() returns all Places, regardless of whether they have
Restaurants::
>>> Place.objects.order_by('name')
[<Place: Ace Hardware the place>, <Place: Demon Dogs the place>]
<QuerySet [<Place: Ace Hardware the place>, <Place: Demon Dogs the place>]>
You can query the models using :ref:`lookups across relationships <lookups-that-span-relationships>`::
@ -121,9 +121,9 @@ You can query the models using :ref:`lookups across relationships <lookups-that-
>>> Restaurant.objects.get(place__pk=1)
<Restaurant: Demon Dogs the restaurant>
>>> Restaurant.objects.filter(place__name__startswith="Demon")
[<Restaurant: Demon Dogs the restaurant>]
<QuerySet [<Restaurant: Demon Dogs the restaurant>]>
>>> Restaurant.objects.exclude(place__address__contains="Ashland")
[<Restaurant: Demon Dogs the restaurant>]
<QuerySet [<Restaurant: Demon Dogs the restaurant>]>
This of course works in reverse::
@ -146,6 +146,6 @@ Add a Waiter to the Restaurant::
Query the waiters::
>>> Waiter.objects.filter(restaurant__place=p1)
[<Waiter: Joe the waiter at Demon Dogs the restaurant>]
<QuerySet [<Waiter: Joe the waiter at Demon Dogs the restaurant>]>
>>> Waiter.objects.filter(restaurant__place__name__startswith="Demon")
[<Waiter: Joe the waiter at Demon Dogs the restaurant>]
<QuerySet [<Waiter: Joe the waiter at Demon Dogs the restaurant>]>

View File

@ -501,14 +501,14 @@ the intermediate model::
... invite_reason="Needed a new drummer.")
>>> m1.save()
>>> beatles.members.all()
[<Person: Ringo Starr>]
<QuerySet [<Person: Ringo Starr>]>
>>> ringo.group_set.all()
[<Group: The Beatles>]
<QuerySet [<Group: The Beatles>]>
>>> m2 = Membership.objects.create(person=paul, group=beatles,
... date_joined=date(1960, 8, 1),
... invite_reason="Wanted to form a band.")
>>> beatles.members.all()
[<Person: Ringo Starr>, <Person: Paul McCartney>]
<QuerySet [<Person: Ringo Starr>, <Person: Paul McCartney>]>
Unlike normal many-to-many fields, you *can't* use ``add``, ``create``,
or assignment (i.e., ``beatles.members = [...]``) to create relationships::
@ -537,7 +537,7 @@ used to remove all many-to-many relationships for an instance::
>>> beatles.members.clear()
>>> # Note that this deletes the intermediate model instances
>>> Membership.objects.all()
[]
<QuerySet []>
Once you have established the many-to-many relationships by creating instances
of your intermediate model, you can issue queries. Just as with normal
@ -546,7 +546,7 @@ many-to-many-related model::
# Find all the groups with a member whose name starts with 'Paul'
>>> Group.objects.filter(members__name__startswith='Paul')
[<Group: The Beatles>]
<QuerySet [<Group: The Beatles>]>
As you are using an intermediate model, you can also query on its attributes::
@ -554,7 +554,7 @@ As you are using an intermediate model, you can also query on its attributes::
>>> Person.objects.filter(
... group__name='The Beatles',
... membership__date_joined__gt=date(1961,1,1))
[<Person: Ringo Starr]
<QuerySet [<Person: Ringo Starr]>
If you need to access a membership's information you may do so by directly
querying the ``Membership`` model::

View File

@ -912,7 +912,7 @@ extra forms displayed.
``max_num`` does not prevent existing objects from being displayed::
>>> Author.objects.order_by('name')
[<Author: Charles Baudelaire>, <Author: Paul Verlaine>, <Author: Walt Whitman>]
<QuerySet [<Author: Charles Baudelaire>, <Author: Paul Verlaine>, <Author: Walt Whitman>]>
>>> AuthorFormSet = modelformset_factory(Author, fields=('name',), max_num=1)
>>> formset = AuthorFormSet(queryset=Author.objects.order_by('name'))

View File

@ -800,11 +800,12 @@ class NaturalKeyFixtureTests(TestCase):
verbosity=0,
)
books = Book.objects.all()
self.assertEqual(
books.__repr__(),
"[<Book: Cryptonomicon by Neal Stephenson (available at Amazon, Borders)>, "
"<Book: Ender's Game by Orson Scott Card (available at Collins Bookstore)>, "
"<Book: Permutation City by Greg Egan (available at Angus and Robertson)>]"
self.assertQuerysetEqual(
books, [
"<Book: Cryptonomicon by Neal Stephenson (available at Amazon, Borders)>",
"<Book: Ender's Game by Orson Scott Card (available at Collins Bookstore)>",
"<Book: Permutation City by Greg Egan (available at Angus and Robertson)>",
]
)

View File

@ -47,7 +47,7 @@ class NullQueriesTests(TestCase):
# Related managers use __exact=None implicitly if the object hasn't been saved.
p2 = Poll(question="How?")
self.assertEqual(repr(p2.choice_set.all()), '[]')
self.assertEqual(repr(p2.choice_set.all()), '<QuerySet []>')
def test_reverse_relations(self):
"""

View File

@ -78,7 +78,9 @@ class StringLookupTests(TestCase):
"""
a = Article(name='IP test', text='The body', submitted_from='192.0.2.100')
a.save()
self.assertEqual(repr(Article.objects.filter(submitted_from__contains='192.0.2')),
repr([a]))
self.assertQuerysetEqual(
Article.objects.filter(submitted_from__contains='192.0.2'),
[a], lambda x: x
)
# Test that the searches do not match the subnet mask (/32 in this case)
self.assertEqual(Article.objects.filter(submitted_from__contains='32').count(), 0)