| Commit message (Collapse) | Author | Age |
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factory.Iterator no longers begins iteration of its argument
on declaration, since this behavior may trigger database query
when that argument is, for instance, a Django queryset.
The ``factory.Iterator``'s argument will only be called when
the containing ``Factory`` is first evaluated; this means that
factories using ``factory.Iterator(models.MyThingy.objects.all())``
will no longer call the database at import time.
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This relies on the ``fake-factory`` library, and provides realistic
random values for most field types.
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Define ``Meta.rename = {'attrs': 'attributes'}``
if your model expects a ``attributes`` kwarg but you can't
define it since it's already reserved by the ``Factory`` class.
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Previously, the declarations (``factory.Sequence`` & co) weren't properly computed.
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The previous version tries to use ``cls._default_manager`` all the time,
which breaks with ``manager.using(db_name)``.
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Previously, they ran as post_generation hooks, meaning that they
couldn't be checked in a model's ``save()`` method, for instance.
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``StubFactory.build()`` is now supported, and maps to
``StubFactory.stub()``.
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The ``factory.django.DjangoModelFactory`` now takes an extra option:
```
class MyFactory(factory.django.DjangoModelFactory):
class Meta:
model = models.MyModel
database = 'replica'
```
This will create all instances of ``models.Model`` in the ``'replica'``
database.
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Previously, if a factory was decorated with ``@mute_signals`` and one of
its descendant called another one of its descendant, signals weren't
unmuted properly.
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This allows the following idiom:
``user = factory.fuzzy.FuzzyChoice(User.objects.all())``
Previously, the ``User.objects.all()`` queryset would have been
evaluated *at import time*; it is now evaluated with the first use of the
``FuzzyChoice``.
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Users may now call ``factory.fuzzy.get_random_state()`` to retrieve
the current random generator's state (isolated from the one used in
Python's ``random``).
That state can then be reinjected with
``factory.fuzzy.set_random_state(state)``.
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Related to issues #78, #92, #103, #111, #153, #170
The default value of all sequences is now 0; the automagic
``_setup_next_sequence`` behavior of Django/SQLAlchemy has been removed.
This feature's only goal was to allow the following scenario:
1. Run a Python script that uses MyFactory.create() a couple of times
(with a unique field based on the sequence counter)
2. Run the same Python script a second time
Without the magical ``_setup_next_sequence``, the Sequence counter would be set
to 0 at the beginning of each script run, so both runs would generate objects
with the same values for the unique field ; thus conflicting and crashing.
The above behavior having only a very limited use and bringing various
issues (hitting the database on ``build()``, problems with non-integer
or composite primary key columns, ...), it has been removed.
It could still be emulated through custom ``_setup_next_sequence``
methods, or by calling ``MyFactory.reset_sequence()``.
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As suggested by @savingschampion
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Conflicts:
docs/changelog.rst
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Closes #100, #112.
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There was also a nasty bug: with class FactoryB(FactoryA), FactoryB's sequence
counter started at the value of FactoryA's counter when FactoryB was first called.
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It will be automatically set to True if neither the Factory subclass nor
its parents define a FACTORY_FOR argument.
It can also be set on a Factory subclass to prevent it from being
called.
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