# flagd Provider for OpenFeature This provider is designed to use flagd's [evaluation protocol](https://github.com/open-feature/schemas/blob/main/protobuf/schema/v1/schema.proto), or locally evaluate flags defined in a flagd [flag definition](https://github.com/open-feature/schemas/blob/main/json/flagd-definitions.json) via the OpenFeature Python SDK. ## Installation ``` pip install openfeature-provider-flagd ``` ## Configuration and Usage The flagd provider can operate in two modes: [RPC](#remote-resolver-rpc) (evaluation takes place in flagd, via gRPC calls) or [in-process](#in-process-resolver) (evaluation takes place in-process, with the provider getting a ruleset from a compliant sync-source). ### Remote resolver (RPC) This is the default mode of operation of the provider. In this mode, `FlagdProvider` communicates with [flagd](https://github.com/open-feature/flagd) via the gRPC protocol. Flag evaluations take place remotely at the connected flagd instance. Instantiate a new FlagdProvider instance and configure the OpenFeature SDK to use it: ```python from openfeature import api from openfeature.contrib.provider.flagd import FlagdProvider api.set_provider(FlagdProvider()) ``` ### In-process resolver This mode performs flag evaluations locally (in-process). Flag configurations for evaluation are obtained via gRPC protocol using [sync protobuf schema](https://buf.build/open-feature/flagd/file/main:sync/v1/sync_service.proto) service definition. Consider the following example to create a `FlagdProvider` with in-process evaluations, ```python from openfeature import api from openfeature.contrib.provider.flagd import FlagdProvider from openfeature.contrib.provider.flagd.config import ResolverType api.set_provider(FlagdProvider( resolver_type=ResolverType.IN_PROCESS, )) ``` In the above example, in-process handlers attempt to connect to a sync service on address `localhost:8013` to obtain [flag definitions](https://github.com/open-feature/schemas/blob/main/json/flags.json). ### File mode In-process resolvers can also work in an offline mode. To enable this mode, you should provide a valid flag configuration file with the option `offlineFlagSourcePath`. ```python from openfeature import api from openfeature.contrib.provider.flagd import FlagdProvider from openfeature.contrib.provider.flagd.config import ResolverType api.set_provider(FlagdProvider( resolver_type=ResolverType.FILE, offline_flag_source_path="my-flag.json", )) ``` Provider will attempt to detect file changes using polling. Polling happens at 5 second intervals and this is currently unconfigurable. This mode is useful for local development, tests and offline applications. ### Configuration options The default options can be defined in the FlagdProvider constructor. | Option name | Environment variable name | Type & Values | Default | Compatible resolver | |--------------------------|--------------------------------|----------------------------|-------------------------------|---------------------| | resolver_type | FLAGD_RESOLVER | enum - `rpc`, `in-process` | rpc | | | host | FLAGD_HOST | str | localhost | rpc & in-process | | port | FLAGD_PORT | int | 8013 (rpc), 8015 (in-process) | rpc & in-process | | tls | FLAGD_TLS | bool | false | rpc & in-process | | cert_path | FLAGD_SERVER_CERT_PATH | String | null | rpc & in-process | | deadline | FLAGD_DEADLINE_MS | int | 500 | rpc & in-process | | stream_deadline_ms | FLAGD_STREAM_DEADLINE_MS | int | 600000 | rpc & in-process | | keep_alive_time | FLAGD_KEEP_ALIVE_TIME_MS | int | 0 | rpc & in-process | | selector | FLAGD_SOURCE_SELECTOR | str | null | in-process | | cache_type | FLAGD_CACHE | enum - `lru`, `disabled` | lru | rpc | | max_cache_size | FLAGD_MAX_CACHE_SIZE | int | 1000 | rpc | | retry_backoff_ms | FLAGD_RETRY_BACKOFF_MS | int | 1000 | rpc | | offline_flag_source_path | FLAGD_OFFLINE_FLAG_SOURCE_PATH | str | null | in-process | > [!NOTE] > The `selector` configuration is only used in **in-process** mode for filtering flag configurations. See [Selector Handling](#selector-handling-in-process-mode-only) for migration guidance. > [!NOTE] > Some configurations are only applicable for RPC resolver. ### Selector Handling (In-Process Mode Only) > [!IMPORTANT] > This section only applies to **in-process** resolver mode. RPC mode is not affected by selector handling changes. #### Current Implementation As of this SDK version, the `selector` parameter is passed via **both** gRPC metadata headers (`flagd-selector`) and the request body when using in-process mode. This dual approach ensures maximum compatibility with all flagd versions. **Configuration Example:** ```python from openfeature import api from openfeature.contrib.provider.flagd import FlagdProvider from openfeature.contrib.provider.flagd.config import ResolverType api.set_provider(FlagdProvider( resolver_type=ResolverType.IN_PROCESS, selector="my-flag-source", # Passed via both header and request body )) ``` The selector is automatically passed via: - **gRPC metadata header** (`flagd-selector`) - For flagd v0.11.0+ selector normalization - **Request body** - For backward compatibility with older flagd versions #### Backward Compatibility This dual transmission approach ensures the Python SDK works seamlessly with all flagd service versions: - **Older flagd versions** read the selector from the request body - **Newer flagd versions (v0.11.0+)** prefer the selector from the gRPC metadata header - Both approaches are supported simultaneously for maximum compatibility **Related Resources:** - Upstream issue: [open-feature/flagd#1814](https://github.com/open-feature/flagd/issues/1814) - Selector normalization affects in-process evaluations that filter flag configurations by source ### Reconnection Reconnection is supported by the underlying gRPC connections. If the connection to flagd is lost, it will reconnect automatically. A failure to connect will result in an [error event](https://openfeature.dev/docs/reference/concepts/events#provider_error) from the provider, though it will attempt to reconnect indefinitely. ### Deadlines Deadlines are used to define how long the provider waits to complete initialization or flag evaluations. They behave differently based on the resolver type. #### Deadlines with Remote resolver (RPC) If the remote evaluation call is not completed within this deadline, the gRPC call is terminated with the error `DEADLINE_EXCEEDED` and the evaluation will default. ### TLS TLS is available in situations where flagd is running on another host. You may optionally supply an X.509 certificate in PEM format. Otherwise, the default certificate store will be used. ```python from openfeature import api from openfeature.contrib.provider.flagd import FlagdProvider api.set_provider(FlagdProvider( tls=True, # use TLS cert_path="etc/cert/ca.crt" # PEM cert )) ``` ## License Apache 2.0 - See [LICENSE](./LICENSE) for more information.