gofeatureflag-python-provider 1.1.0

GO Feature Flag provider for OpenFeature

GO Feature Flag Python Provider

GO Feature Flag provider allows you to connect to your GO Feature Flag instance.

GO Feature Flag believes in simplicity and offers a simple and lightweight solution to use feature flags.
Our focus is to avoid any complex infrastructure work to use GO Feature Flag.

This is a complete feature flagging solution with the possibility to target only a group of users, use any types of flags, store your configuration in various location and advanced rollout functionality. You can also collect usage data of your flags and be notified of configuration changes.

Python SDK usage

Install dependencies

The first things we will do is install the Open Feature SDK and the GO Feature Flag provider.

pip install gofeatureflag-python-provider

Evaluation modes

The provider supports two evaluation modes:

Mode	Description
In-Process (default)	Flag configuration is fetched and cached locally; evaluation runs via a WASM module — no per-evaluation network call.
Remote	Each flag evaluation makes an HTTP request to the GO Feature Flag relay proxy using the OFREP API.

Initialize your Open Feature client

In-Process evaluation (default)

In-Process evaluation fetches the flag configuration from the relay proxy at startup and on a configurable polling interval. Flags are evaluated locally using a bundled WASM module, which gives you lower latency and no per-evaluation network dependency.

from gofeatureflag_python_provider.provider import GoFeatureFlagProvider
from gofeatureflag_python_provider.options import GoFeatureFlagOptions, EvaluationType
from openfeature import api
from openfeature.evaluation_context import EvaluationContext

goff_provider = GoFeatureFlagProvider(
    options=GoFeatureFlagOptions(
        endpoint="https://gofeatureflag.org/",
        evaluation_type=EvaluationType.INPROCESS,  # default
    )
)
api.set_provider(goff_provider)
client = api.get_client(domain="test-client")

Remote evaluation

Remote evaluation sends each flag evaluation as an HTTP request to the relay proxy.

from gofeatureflag_python_provider.provider import GoFeatureFlagProvider
from gofeatureflag_python_provider.options import GoFeatureFlagOptions, EvaluationType
from openfeature import api

goff_provider = GoFeatureFlagProvider(
    options=GoFeatureFlagOptions(
        endpoint="https://gofeatureflag.org/",
        evaluation_type=EvaluationType.REMOTE,
    )
)
api.set_provider(goff_provider)
client = api.get_client(domain="test-client")

Evaluate your flag

This code block explains how you can create an EvaluationContext and use it to evaluate your flag.

In this example we are evaluating a boolean flag, but other types are available.

Refer to the Open Feature documentation to know more about it.

# Context of your flag evaluation.
# With GO Feature Flag you MUST have a targetingKey that is a unique identifier of the user.
evaluation_ctx = EvaluationContext(
    targeting_key="d45e303a-38c2-11ed-a261-0242ac120002",
    attributes={
        "email": "[e-mail]",
        "firstname": "john",
        "lastname": "doe",
        "anonymous": False,
        "professional": True,
        "rate": 3.14,
        "age": 30,
        "company_info": {"name": "my_company", "size": 120},
        "labels": ["pro", "beta"],
    },
)

admin_flag = client.get_boolean_value(
    flag_key="flag-only-for-admin",
    default_value=False,
    evaluation_context=evaluation_ctx,
)

if admin_flag:
    # flag "flag-only-for-admin" is true for the user
    pass
else:
    # flag "flag-only-for-admin" is false for the user
    pass

Configuration options

Option	Type	Default	Description
endpoint	str	(required)	URL of the GO Feature Flag relay proxy
evaluation_type	EvaluationType	INPROCESS	Evaluation mode: INPROCESS or REMOTE
cache_size	int	10000	Maximum number of flag evaluations kept in the LRU cache (remote mode)
data_flush_interval	int	60000	Interval (ms) to flush usage data to the relay proxy
disable_data_collection	bool	False	Set to True to disable usage analytics
reconnect_interval	int	60	WebSocket reconnect interval (seconds) (remote mode)
disable_cache_invalidation	bool	False	Disable WebSocket-based cache invalidation (remote mode)
flag_config_poll_interval_seconds	int	10	Polling interval (seconds) for flag configuration (in-process mode)
api_key	str	None	API key for authenticated relay proxy requests
exporter_metadata	dict	{}	Static metadata attached to evaluation events
max_pending_events	int	10000	Maximum buffered events before a forced flush
wasm_file_path	str	None	Path to a custom WASM/WASI evaluation binary (in-process mode, uses bundled binary by default)
wasm_pool_size	int	10	Pool size for concurrent WASM evaluation instances (in-process mode)
log_level	str|int	"WARNING"	Logging level ("DEBUG", "INFO", "WARNING", "ERROR")
urllib3_pool_manager	urllib3.PoolManager	None	Custom HTTP client