django-fsm adds simple declarative state management for django models.
If you need parallel task execution, view and background task code reuse over different flows - check my new project django-viewflow:
https://github.com/viewflow/viewflow
Instead of adding a state field to a django model and managing its values by hand, you use FSMField
and mark model methods with the transition
decorator. These methods could contain side-effects of the state change.
Nice introduction is available here: https://gist.github.com/Nagyman/9502133
You may also take a look at django-fsm-admin project containing a mixin and template tags to integrate django-fsm state transitions into the django admin.
https://github.com/gadventures/django-fsm-admin
Transition logging support could be achieved with help of django-fsm-log package
https://github.com/gizmag/django-fsm-log
FSM really helps to structure the code, especially when a new developer comes to the project. FSM is most effective when you use it for some sequential steps.
Or, for the latest git version
The library has full Python 3 support
Add FSMState field to your model
Use the transition
decorator to annotate model methods
The field
parameter accepts both a string attribute name or an actual field instance.
If calling publish() succeeds without raising an exception, the state field will be changed, but not written to the database.
If some conditions are required to be met before changing the state, use the conditions
argument to transition
. conditions
must be a list of functions taking one argument, the model instance. The function must return either True
or False
or a value that evaluates to True
or False
. If all functions return True
, all conditions are considered to be met and the transition is allowed to happen. If one of the functions returns False
, the transition will not happen. These functions should not have any side effects.
You can use ordinary functions
Or model methods
Use the conditions like this:
You can instantiate a field with protected=True
option to prevent direct state field modification.
Note that calling refresh_from_db on a model instance with a protected FSMField will cause an exception.
source
parameter accepts a list of states, or an individual state or django_fsm.State
implementation.
You can use *
for source
to allow switching to target
from any state.
You can use +
for source
to allow switching to target
from any state excluding target
state.
target
state parameter could point to a specific state or django_fsm.State
implementation
from django_fsm import FSMField, transition, RETURN_VALUE, GET_STATE
@transition(field=state,
source='*',
target=RETURN_VALUE('for_moderators', 'published'))
def publish(self, is_public=False):
return 'for_moderators' if is_public else 'published'
@transition(
field=state,
source='for_moderators',
target=GET_STATE(
lambda self, allowed: 'published' if allowed else 'rejected',
states=['published', 'rejected']))
def moderate(self, allowed):
pass
@transition(
field=state,
source='for_moderators',
target=GET_STATE(
lambda self, **kwargs: 'published' if kwargs.get("allowed", True) else 'rejected',
states=['published', 'rejected']))
def moderate(self, allowed=True):
pass
Custom properties can be added by providing a dictionary to the custom
keyword on the transition
decorator.
If the transition method raises an exception, you can provide a specific target state
Instead of passing a two-item iterable choices
you can instead use the three-element state_choices
, the last element being a string reference to a model proxy class.
The base class instance would be dynamically changed to the corresponding Proxy class instance, depending on the state. Even for queryset results, you will get Proxy class instances, even if the QuerySet is executed on the base class.
Check the test case for example usage. Or read about implementation internals
It is common to have permissions attached to each model transition. django-fsm
handles this with permission
keyword on the transition
decorator. permission
accepts a permission string, or callable that expects instance
and user
arguments and returns True if the user can perform the transition.
You can check permission with has_transition_permission
method
get_all_FIELD_transitions
Enumerates all declared transitions
get_available_FIELD_transitions
Returns all transitions data available in current state
get_available_user_FIELD_transitions
Enumerates all transitions data available in current state for provided user
If you store the states in the db table you could use FSMKeyField to ensure Foreign Key database integrity.
In your model :
class DbState(models.Model):
id = models.CharField(primary_key=True, max_length=50)
label = models.CharField(max_length=255)
def __unicode__(self):
return self.label
class BlogPost(models.Model):
state = FSMKeyField(DbState, default='new')
@transition(field=state, source='new', target='published')
def publish(self):
pass
In your fixtures/initial_data.json :
Note : source and target parameters in @transition decorator use pk values of DBState model as names, even if field "real" name is used, without _id postfix, as field parameter.
You can also use FSMIntegerField
. This is handy when you want to use enum style constants.
django_fsm.signals.pre_transition
and django_fsm.signals.post_transition
are called before and after allowed transition. No signals on invalid transition are called.
Arguments sent with these signals:
sender The model class.
instance The actual instance being processed
name Transition name
source Source model state
target Target model state
django-fsm
provides optimistic locking mixin, to avoid concurrent model state changes. If model state was changed in database django_fsm.ConcurrentTransition
exception would be raised on model.save()
For guaranteed protection against race conditions caused by concurrently executed transitions, make sure:
- Your transitions do not have any side effects except for changes in the database,
- You always run the save() method on the object within
django.db.transaction.atomic()
block.
Following these recommendations, you can rely on ConcurrentTransitionMixin to cause a rollback of all the changes that have been executed in an inconsistent (out of sync) state, thus practically negating their effect.
Renders a graphical overview of your models states transitions
You need pip install "graphviz>=0.4"
library and add django_fsm
to your INSTALLED_APPS
:
- Fix graph_transitions commnad for Django>=4.0
- Preserve chosen "using" DB in ConcurentTransitionMixin
- Fix error message in GET_STATE
- Implement Transition __hash__ and __eq__ for 'in' operator