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@ -11,7 +11,7 @@ Then, just do this::
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>>> from django.db import connection
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>>> connection.queries
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[{'sql': 'SELECT polls_polls.id,polls_polls.question,polls_polls.pub_date FROM polls_polls',
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[{'sql': 'SELECT polls_polls.id, polls_polls.question, polls_polls.pub_date FROM polls_polls',
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'time': '0.002'}]
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``connection.queries`` is only available if :setting:`DEBUG` is ``True``.
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@ -31,7 +31,7 @@ the file ``mysite/news/models.py``::
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return self.full_name
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class Article(models.Model):
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pub_date = models.DateTimeField()
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pub_date = models.DateField()
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headline = models.CharField(max_length=200)
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content = models.TextField()
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reporter = models.ForeignKey(Reporter)
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@ -96,8 +96,8 @@ access your data. The API is created on the fly, no code generation necessary::
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DoesNotExist: Reporter matching query does not exist. Lookup parameters were {'id': 2}
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# Create an article.
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>>> from datetime import datetime
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>>> a = Article(pub_date=datetime.now(), headline='Django is cool',
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>>> from datetime import date
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>>> a = Article(pub_date=date.today(), headline='Django is cool',
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... content='Yeah.', reporter=r)
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>>> a.save()
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@ -140,7 +140,7 @@ as registering your model in the admin site::
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from django.db import models
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class Article(models.Model):
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pub_date = models.DateTimeField()
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pub_date = models.DateField()
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headline = models.CharField(max_length=200)
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content = models.TextField()
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reporter = models.ForeignKey(Reporter)
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@ -36,7 +36,7 @@ following model, which would represent entries in a Weblog::
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class Entry(models.Model):
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title = models.CharField(maxlength=250)
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body = models.TextField()
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pub_date = models.DateTimeField()
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pub_date = models.DateField()
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enable_comments = models.BooleanField()
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Now, suppose that we want the following steps to be applied whenever a
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@ -983,10 +983,10 @@ define the details of how the relation works.
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this with functions from the Python ``datetime`` module to limit choices of
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objects by date. For example::
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limit_choices_to = {'pub_date__lte': datetime.now}
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limit_choices_to = {'pub_date__lte': datetime.date.today}
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only allows the choice of related objects with a ``pub_date`` before the
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current date/time to be chosen.
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current date to be chosen.
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Instead of a dictionary this can also be a :class:`~django.db.models.Q`
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object for more :ref:`complex queries <complex-lookups-with-q>`. However,
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@ -135,7 +135,7 @@ access to more than a single field::
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raise ValidationError('Draft entries may not have a publication date.')
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# Set the pub_date for published items if it hasn't been set already.
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if self.status == 'published' and self.pub_date is None:
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self.pub_date = datetime.datetime.now()
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self.pub_date = datetime.date.today()
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Any :exc:`~django.core.exceptions.ValidationError` exceptions raised by
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``Model.clean()`` will be stored in a special key error dictionary key,
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@ -1945,6 +1945,17 @@ SQL equivalent::
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You can use ``range`` anywhere you can use ``BETWEEN`` in SQL — for dates,
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numbers and even characters.
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.. warning::
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Filtering a ``DateTimeField`` with dates won't include items on the last
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day, because the bounds are interpreted as "0am on the given date". If
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``pub_date`` was a ``DateTimeField``, the above expression would be turned
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into this SQL::
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SELECT ... WHERE pub_date BETWEEN '2005-01-01 00:00:00' and '2005-03-31 00:00:00';
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Generally speaking, you can't mix dates and datetimes.
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.. fieldlookup:: year
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year
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@ -1958,7 +1969,7 @@ Example::
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SQL equivalent::
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SELECT ... WHERE pub_date BETWEEN '2005-01-01' AND '2005-12-31 23:59:59.999999';
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SELECT ... WHERE pub_date BETWEEN '2005-01-01' AND '2005-12-31';
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(The exact SQL syntax varies for each database engine.)
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@ -42,8 +42,8 @@ Create a few Reporters::
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Create an Article::
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>>> from datetime import datetime
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>>> a = Article(id=None, headline="This is a test", pub_date=datetime(2005, 7, 27), reporter=r)
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>>> from datetime import date
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>>> a = Article(id=None, headline="This is a test", pub_date=date(2005, 7, 27), reporter=r)
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>>> a.save()
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>>> a.reporter.id
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@ -65,7 +65,7 @@ database, which always returns unicode strings)::
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Create an Article via the Reporter object::
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>>> new_article = r.article_set.create(headline="John's second story", pub_date=datetime(2005, 7, 29))
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>>> new_article = r.article_set.create(headline="John's second story", pub_date=date(2005, 7, 29))
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>>> new_article
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<Article: John's second story>
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>>> new_article.reporter
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@ -75,7 +75,7 @@ Create an Article via the Reporter object::
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Create a new article, and add it to the article set::
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>>> new_article2 = Article(headline="Paul's story", pub_date=datetime(2006, 1, 17))
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>>> new_article2 = Article(headline="Paul's story", pub_date=date(2006, 1, 17))
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>>> r.article_set.add(new_article2)
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>>> new_article2.reporter
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<Reporter: John Smith>
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@ -35,8 +35,8 @@ models, which comprise a Weblog application:
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blog = models.ForeignKey(Blog)
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headline = models.CharField(max_length=255)
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body_text = models.TextField()
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pub_date = models.DateTimeField()
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mod_date = models.DateTimeField()
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pub_date = models.DateField()
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mod_date = models.DateField()
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authors = models.ManyToManyField(Author)
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n_comments = models.IntegerField()
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n_pingbacks = models.IntegerField()
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@ -233,7 +233,7 @@ refinements together. For example::
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>>> Entry.objects.filter(
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... headline__startswith='What'
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... ).exclude(
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... pub_date__gte=datetime.now()
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... pub_date__gte=datetime.date.today()
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... ).filter(
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... pub_date__gte=datetime(2005, 1, 30)
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... )
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@ -258,8 +258,8 @@ stored, used and reused.
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Example::
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>> q1 = Entry.objects.filter(headline__startswith="What")
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>> q2 = q1.exclude(pub_date__gte=datetime.now())
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>> q3 = q1.filter(pub_date__gte=datetime.now())
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>> q2 = q1.exclude(pub_date__gte=datetime.date.today())
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>> q3 = q1.filter(pub_date__gte=datetime.date.today())
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These three ``QuerySets`` are separate. The first is a base
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:class:`~django.db.models.query.QuerySet` containing all entries that contain a
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*evaluated*. Take a look at this example::
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>>> q = Entry.objects.filter(headline__startswith="What")
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>>> q = q.filter(pub_date__lte=datetime.now())
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>>> q = q.filter(pub_date__lte=datetime.date.today())
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>>> q = q.exclude(body_text__icontains="food")
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>>> print(q)
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