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.
Check out the package on Pypi!
pip install UnleashClient
from UnleashClient import UnleashClient
client = UnleashClient(
url="https://unleash.herokuapp.com",
app_name="my-python-app",
custom_headers={'Authorization': '<API token>'})
client.initialize_client()
If you're running Unleash in a Docker container or self hosting, your URL should look like http://localhost:4242/api
(with the /api
suffix).
To clean up gracefully:
client.destroy()
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 |
refresh_jitter | Maximum delay added to refresh interval value. | N | Integer | None |
metrics_interval | How often the unleash client should send metrics to server. | N | Integer | 60 |
metrics_jitter | Maximum delay added to sending metrics to server interval. | N | Integer | None |
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) |
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": "test@email.com"}
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
andfallback_function
are supplied, client will define the default value byOR
ing the default value and the output of the fallback function.
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.
WSGI is a fairly common way of running webserver applications for both Flask and Django, if you're running in WSGI there are a few caveats that you should be aware of:
-
By default WSGI removes the GIL and disables threading, this SDK requires threads to work for the background updates of feature toggles, without it, your application will run but will not reflect updates to state of feature toggles when changed. To get around this, you'll need to enable threading, you can do this by setting enable-threads in your WSGI configuration
-
If you need to scale out your application with multiple processes by setting the processes flag in your WSGI configuration, note that this can cause issues with updates as well, in order to resolve these, you'll also need to enable the lazy-apps flag in WSGI, this will cause each process to trigger a clean reload of your application. More information on the rammifcations of this change can be found here