ABSmartly Python SDK lib
Project description
A/B Smartly SDK
A/B Smartly - Python SDK
Compatibility
The A/B Smartly Python SDK is compatible with Python 3. It provides both a blocking and an asynchronous interfaces.
Installation
Python Modules
setuptools~=60.2.0
requests~=2.28.1
urllib3~=1.26.12
jsons~=1.6.3
Dependencies
sh ./run.sh
Getting Started
Please follow the installation instructions before trying the following code:
Initialization
This example assumes an Api Key, an Application, and an Environment have been created in the A/B Smartly web console.
def main():
client_config = ClientConfig()
client_config.endpoint = "https://sandbox.test.io/v1"
client_config.api_key = "test"
client_config.application = "www"
client_config.environment = "prod"
default_client_config = DefaultHTTPClientConfig()
default_client = DefaultHTTPClient(default_client_config)
sdk_config = ABSmartlyConfig()
sdk_config.client = Client(client_config, default_client)
sdk = ABSmartly(sdk_config)
context_config = ContextConfig()
ctx = sdk.create_context(context_config)
# ...
}
Creating a new Context synchronously
# define a new context request
context_config = ContextConfig()
context_config.publish_delay = 10
context_config.refresh_interval = 5
context_config.units = {"session_id": "bf06d8cb5d8137290c4abb64155584fbdb64d8",
"user_id": "12345"}
context_config = ContextConfig()
ctx = sdk.create_context(context_config)
ctx.wait_until_ready()
Creating a new Context asynchronously
# define a new context request
context_config = ContextConfig()
context_config.publish_delay = 10
context_config.refresh_interval = 5
context_config.units = {"session_id": "bf06d8cb5d8137290c4abb64155584fbdb64d8",
"user_id": "12345"}
context_config = ContextConfig()
ctx = sdk.create_context(context_config)
ctx.wait_until_ready_async()
Setting extra units for a context
You can add additional units to a context by calling the set_unit()
or the set_units()
method.
This method may be used for example, when a user logs in to your application, and you want to use the new unit type to the context.
Please note that you cannot override an already set unit type as that would be a change of identity, and will throw an exception. In this case, you must create a new context instead.
The SetUnit()
and SetUnits()
methods can be called before the context is ready.
context.set_unit("db_user_id", "1000013")
context.set_units({
"db_user_id": "1000013"
})
Setting context attributes
The set_attributes()
and set_attributes()
methods can be called before the context is ready.
context.set_attributes("user_agent", req.get_header("User-Agent"))
context.set_attributes({
"customer_age": "new_customer"
})
Selecting a treatment
res, _ = context.get_treatment("exp_test_experiment")
if res == 0:
# user is in control group (variant 0)
else:
# user is in treatment group
Tracking a goal achievement
Goals are created in the A/B Smartly web console.
context.track("payment", {
"item_count": 1,
"total_amount": 1999.99
})
Publishing pending data
Sometimes it is necessary to ensure all events have been published to the A/B Smartly collector, before proceeding.
You can explicitly call the publish()
or publish_async()
methods.
context.publish()
Finalizing
The close()
and close_async()
methods will ensure all events have been published to the A/B Smartly collector, like publish()
, and will also "seal" the context, throwing an error if any method that could generate an event is called.
context.close()
Refreshing the context with fresh experiment data
For long-running contexts, the context is usually created once when the application is first started.
However, any experiments being tracked in your production code, but started after the context was created, will not be triggered.
To mitigate this, we can use the set_refresh_interval()
method on the context config.
default_client_config = DefaultHTTPClientConfig()
default_client_config.refresh_interval = 5
Alternatively, the refresh()
method can be called manually.
The refresh()
method pulls updated experiment data from the A/B Smartly collector and will trigger recently started experiments when get_treatment()
is called again.
context.refresh()
Using a custom Event Logger
The A/B Smartly SDK can be instantiated with an event logger used for all contexts.
In addition, an event logger can be specified when creating a particular context, in the ContextConfig
.
class EventType(Enum):
ERROR = "error"
READY = "ready"
REFRESH = "refresh"
PUBLISH = "publish"
EXPOSURE = "exposure"
GOAL = "goal"
CLOSE = "close"
class ContextEventLogger:
@abstractmethod
def handle_event(self, event_type: EventType, data: object):
raise NotImplementedError
The data parameter depends on the type of event. Currently, the SDK logs the following events:
event | when | data |
---|---|---|
Error |
Context receives an error |
Throwable object |
Ready |
Context turns ready |
ContextData used to initialize the context |
Refresh |
Context.refresh() method succeeds |
ContextData used to refresh the context |
Publish |
Context.publish() method succeeds |
PublishEvent sent to the A/B Smartly event collector |
Exposure |
Context.getTreatment() method succeeds on first exposure |
Exposure enqueued for publishing |
Goal |
Context.track() method succeeds |
GoalAchievement enqueued for publishing |
Close |
Context.close() method succeeds the first time |
null |
Peek at treatment variants
Although generally not recommended, it is sometimes necessary to peek at a treatment or variable without triggering an exposure.
The A/B Smartly SDK provides a peek_treament()
method for that.
res = context.peek_treamnet("exp_test_experiment")
if res == 0:
# user is in control group (variant 0)
else:
# user is in treatment group
Peeking at variables
variable = context.peek_variable("my_variable")
Overriding treatment variants
During development, for example, it is useful to force a treatment for an experiment. This can be achieved with the override()
and/or overrides()
methods.
The set_override()
and set_overrides()
methods can be called before the context is ready.
context.set_override("exp_test_experiment", 1) # force variant 1 of treatment
context.set_overrides({
"exp_test_experiment": 1,
"exp_another_experiment": 0
})
About A/B Smartly
A/B Smartly is the leading provider of state-of-the-art, on-premises, full-stack experimentation platforms for engineering and product teams that want to confidently deploy features as fast as they can develop them. A/B Smartly's real-time analytics helps engineering and product teams ensure that new features will improve the customer experience without breaking or degrading performance and/or business metrics.
Have a look at our growing list of clients and SDKs:
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