Introduction to Feature Checks¶
Feature checks are a way of allowing feature development to happen in a codebase without exposing those features to all your users. You can define a feature with an ID, name, summary, and a stability level (unavailable, experimental, beta, or stable) and limit who’s able to actually see and use that feature, dynamically.
The ability to control access to a feature can be done in a variety of ways. Features can be enabled based on their stability level, or based on a per-feature setting, or based on custom logic defined in the application.
There are many modules out there that provide this functionality, with
specific ways to write and check those features. Djblets provides its own
variation in a way that’s very small and very pluggable, with support for
existing Djblets features like
SiteConfiguration
.
There are two main components in the feature check system: The features, and the checkers.
Features¶
Applications should define a Feature
subclass for every feature they want to control access to. These specify
a unique ID, a name and summary, and the current stability level of the
feature. They can also supply initialization or shutdown logic for that
feature.
A typical feature might look like:
from djblets.features import Feature
class MyFeature(Feature):
feature_id = 'myproject.myfeature'
name = 'My Feature'
summary = 'This feature does some neat things.'
my_feature = MyFeature()
Checking Features¶
Features can be checked in Python code:
if my_feature.is_enabled():
...
Or in templates:
{% if_feature_enabled "myproject.myfeature" %}
...
{% else %}
...
{% endif_feature_enabled %}
You can also do the inverse of this in templates:
{% if_feature_disabled "myproject.myfeature" %}
...
{% else %}
...
{% endif_feature_disabled %}
More specialized feature checkers, as we’ll see below, may take other state into consideration when determining if a feature is enabled. For instance, it may want to consider a request or user. These can be provided as well:
if my_feature.is_enabled(request=request, user=user):
...
{% if_feature_enabled "myproject.myfeature" request=request user=user %}
...
{% endif_feature_enabled %}
There’s more you can do with a feature. See Writing Features.
You may also want to look into testing with feature checks, to help you write comprehensive unit tests.
Feature Checkers¶
Feature checkers are small classes that determine whether a feature should be enabled or disabled. They do this by making a determination based on a feature stability level and based on any arguments passed to the checker.
Unless otherwise customized by a subclass, feature checkers will determine
that beta-level features are enabled by default only if settings.DEBUG =
True
, and that stable-level features are always enabled by default. This
logic is contained within min_enabled_level()
.
If a feature isn’t determined to be enabled based on its level, then
is_feature_enabled()
will make a final
determination. How it does this depends very much on the feature checker. It
can make a determination based on some global setting somewhere, or it may
consider keyword arguments passed to the function and make a determination
based on those.
An application can choose the feature checker to use by configuring
settings.FEATURE_CHECKER
to point to the absolute class path.
Built-in Checkers¶
There are two built-in feature checkers:
SettingsFeatureChecker
:Determines whether a feature is enabled by checking for the feature’s ID in a
settings.ENABLED_FEATURES
dictionary. For instance:ENABLED_FEATURES = { 'my-feature': True, }
If present and
True
, the feature will be enabled. Otherwise, it will be disabled.This is the default feature checker.
SiteConfigFeatureChecker
:Determines whether a feature is enabled first by checking for the feature’s ID in a
enabled_features
dictionary inSiteConfiguration.settings
, and then falling back on asettings.ENABLED_FEATURES
dictionary (just like withSettingsFeatureChecker
.To use this, set the following in
settings.py
:FEATURE_CHECKER = 'djblets.features.checkers.SiteConfigFeatureChecker'
You can also write your own feature checker if you want custom behavior, such as determining features per-user.
Feature Registry¶
Every feature you instantiate gets added to the main feature
registry
. This registry allows you to dynamically look up,
unregister, and re-register features.
Looking Up Features¶
You can fetch any previously-registered feature by calling
get_feature()
:
from djblets.features import get_feature_registry
get_feature_registry().get_feature('my-feature-id')
If the feature exists (doesn’t return None
), then you can go ahead and
make some determinations based on that feature.
Iterating Features¶
You can also iterate through all the features by iterating through the registry:
from djblets.features import get_feature_registry
for feature in get_feature_registry():
...
Unregistering Features¶
If you ever need to unregister a feature, you can do so with the
unregister()
method:
from djblets.features import get_feature_registry
from myapp.features import my_feature
get_feature_registry().unregister(my_feature)
Registering Features¶
If you need to re-register a feature that was previously unregistered, you can
do so with the register()
method:
from djblets.features import get_feature_registry
from myapp.features import my_feature
get_feature_registry().register(my_feature)