The system check framework is a set of static checks for validating Django projects. It detects common problems and provides hints for how to fix them. The framework is extensible so you can easily add your own checks.
Checks can be triggered explicitly via the check command. Checks are
triggered implicitly before most commands, including runserver and
migrate. For performance reasons, checks are not run as part of the
WSGI stack that is used in deployment. If you need to run system checks on your
deployment server, trigger them explicitly using check.
Serious errors will prevent Django commands (such as runserver) from
running at all. Minor problems are reported to the console. If you have inspected
the cause of a warning and are happy to ignore it, you can hide specific warnings
using the SILENCED_SYSTEM_CHECKS setting in your project settings file.
A full list of all checks that can be raised by Django can be found in the System check reference.
The framework is flexible and allows you to write functions that perform any other kind of check you may require. The following is an example stub check function:
from django.core.checks import Error, register
@register()
def example_check(app_configs, **kwargs):
errors = []
# ... your check logic here
if check_failed:
errors.append(
Error(
'an error',
hint='A hint.',
obj=checked_object,
id='myapp.E001',
)
)
return errors
The check function must accept an app_configs argument; this argument is
the list of applications that should be inspected. If None, the check must be
run on all installed apps in the project. The **kwargs argument is required
for future expansion.
The function must return a list of messages. If no problems are found as a result of the check, the check function must return an empty list.
The warnings and errors raised by the check method must be instances of
CheckMessage. An instance of
CheckMessage encapsulates a single reportable
error or warning. It also provides context and hints applicable to the
message, and a unique identifier that is used for filtering purposes.
The concept is very similar to messages from the message framework or the logging framework.
Messages are tagged with a level indicating the severity of the message.
There are also shortcuts to make creating messages with common levels easier.
When using these classes you can omit the level argument because it is
implied by the class name.
Lastly, your check function must be registered explicitly with system check
registry. Checks should be registered in a file that’s loaded when your
application is loaded; for example, in the AppConfig.ready() method.
register(*tags)(function)¶You can pass as many tags to register as you want in order to label your
check. Tagging checks is useful since it allows you to run only a certain
group of checks. For example, to register a compatibility check, you would
make the following call:
from django.core.checks import register, Tags
@register(Tags.compatibility)
def my_check(app_configs, **kwargs):
# ... perform compatibility checks and collect errors
return errors
You can register “deployment checks” that are only relevant to a production settings file like this:
@register(Tags.security, deploy=True)
def my_check(app_configs, **kwargs):
...
These checks will only be run if the check --deploy option is used.
You can also use register as a function rather than a decorator by
passing a callable object (usually a function) as the first argument
to register.
The code below is equivalent to the code above:
def my_check(app_configs, **kwargs):
...
register(my_check, Tags.security, deploy=True)
In some cases, you won’t need to register your check function – you can piggyback on an existing registration.
Fields, models, model managers, and database backends all implement a
check() method that is already registered with the check framework. If you
want to add extra checks, you can extend the implementation on the base class,
perform any extra checks you need, and append any messages to those generated
by the base class. It’s recommended that you delegate each check to separate
methods.
Consider an example where you are implementing a custom field named
RangedIntegerField. This field adds min and max arguments to the
constructor of IntegerField. You may want to add a check to ensure that users
provide a min value that is less than or equal to the max value. The following
code snippet shows how you can implement this check:
from django.core import checks
from django.db import models
class RangedIntegerField(models.IntegerField):
def __init__(self, min=None, max=None, **kwargs):
super().__init__(**kwargs)
self.min = min
self.max = max
def check(self, **kwargs):
# Call the superclass
errors = super().check(**kwargs)
# Do some custom checks and add messages to `errors`:
errors.extend(self._check_min_max_values(**kwargs))
# Return all errors and warnings
return errors
def _check_min_max_values(self, **kwargs):
if (self.min is not None and
self.max is not None and
self.min > self.max):
return [
checks.Error(
'min greater than max.',
hint='Decrease min or increase max.',
obj=self,
id='myapp.E001',
)
]
# When no error, return an empty list
return []
If you wanted to add checks to a model manager, you would take the same
approach on your subclass of Manager.
If you want to add a check to a model class, the approach is almost the same: the only difference is that the check is a classmethod, not an instance method:
class MyModel(models.Model):
@classmethod
def check(cls, **kwargs):
errors = super().check(**kwargs)
# ... your own checks ...
return errors
Messages are comparable. That allows you to easily write tests:
from django.core.checks import Error
errors = checked_object.check()
expected_errors = [
Error(
'an error',
hint='A hint.',
obj=checked_object,
id='myapp.E001',
)
]
self.assertEqual(errors, expected_errors)
May 01, 2019