UnleashClient 4.4.0

Python client for the Unleash feature toggle system!

unleash-client-python

This is the Python client for Unleash. It implements Client Specifications 1.0 and checks compliance based on spec in unleash/client-specifications

What it supports:

• Default activation strategies using 32-bit Murmurhash3
• Custom strategies
• Full client lifecycle:
  • Client registers with Unleash server
  • Client periodically fetches feature toggles and stores to on-disk cache
  • Client periodically sends metrics to Unleash Server
• Tested on Linux (Ubuntu), OSX, and Windows

Check out the project documentation and the changelog.

Installation

Check out the package on Pypi!

pip install UnleashClient

Usage

Initialization

from UnleashClient import UnleashClient
client = UnleashClient(
    url="https://unleash.herokuapp.com",
    app_name="my-python-app",
    custom_headers={'Authorization': '<API token>'})
client.initialize_client()

To clean up gracefully:

client.destroy()

Arguments

Argument	Description	Required?	Type	Default Value
url	Unleash server URL	Y	String	N/A
app_name	Name of your program	Y	String	N/A
environment	Name of current environment	N	String	default
instance_id	Unique ID for your program	N	String	unleash-client-python
refresh_interval	How often the unleash client should check for configuration changes.	N	Integer	15
metrics_interval	How often the unleash client should send metrics to server.	N	Integer	60
disable_metrics	Disables sending metrics to Unleash server.	N	Boolean	F
disable_registration	Disables registration with Unleash server.	N	Boolean	F
custom_headers	Custom headers to send to Unleash.	N	Dictionary	{}
custom_strategies	Custom strategies you'd like UnleashClient to support.	N	Dictionary	{}
cache_directory	Location of the cache directory. When unset, FCache will determine the location	N	Str	Unset
project_name	Unleash project Id to load feature flags from	N	Str	""
verbose_log_level	Numerical log level (https://docs.python.org/3/library/logging.html#logging-levels) for cases where checking a feature flag fails.	N	Integer	30 (Warning)

Checking if a feature is enabled

A check of a simple toggle:

client.is_enabled("My Toggle")

Specifying a default value:

client.is_enabled("My Toggle", default_value=True)

Supplying application context:

app_context = {"userId": "[e-mail]"}
client.is_enabled("User ID Toggle", app_context)

Supplying a fallback function:

def custom_fallback(feature_name: str, context: dict) -> bool:
    return True

client.is_enabled("My Toggle", fallback_function=custom_fallback)

• Must accept the fature name and context as an argument.
• Client will evaluate the fallback function only if exception occurs when calling the is_enabled() method i.e. feature flag not found or other general exception.
• If both a default_value and fallback_function are supplied, client will define the default value by ORing the default value and the output of the fallback function.

Getting a variant

Checking for a variant:

context = {'userId': '2'}  # Context must have userId, sessionId, or remoteAddr.  If none are present, distribution will be random.

variant = client.get_variant("MyvariantToggle", context)

print(variant)
> {
>    "name": "variant1",
>    "payload": {
>        "type": "string",
>        "value": "val1"
>        },
>    "enabled": True
> }

For more information about variants, see the Variant documentation.