Source code for ldclient.interfaces

"""
This submodule contains interfaces for various components of the SDK.

They may be useful in writing new implementations of these components, or for testing.
"""

from abc import ABCMeta, abstractmethod, abstractproperty
from .versioned_data_kind import VersionedDataKind
from typing import Any, Callable, Mapping, Optional

[docs]class FeatureStore: """ Interface for a versioned store for feature flags and related objects received from LaunchDarkly. Implementations should permit concurrent access and updates. An "object", for ``FeatureStore``, is simply a dict of arbitrary data which must have at least three properties: ``key`` (its unique key), ``version`` (the version number provided by LaunchDarkly), and ``deleted`` (True if this is a placeholder for a deleted object). Delete and upsert requests are versioned: if the version number in the request is less than the currently stored version of the object, the request should be ignored. These semantics support the primary use case for the store, which synchronizes a collection of objects based on update messages that may be received out-of-order. """ __metaclass__ = ABCMeta
[docs] @abstractmethod def get(self, kind: VersionedDataKind, key: str, callback: Callable[[Any], Any]=lambda x: x) -> Any: """ Retrieves the object to which the specified key is mapped, or None if the key is not found or the associated object has a ``deleted`` property of True. The retrieved object, if any (a dict) can be transformed by the specified callback. :param kind: The kind of object to get :param key: The key whose associated object is to be returned :param callback: A function that accepts the retrieved data and returns a transformed value :return: The result of executing callback """
[docs] @abstractmethod def all(self, kind: VersionedDataKind, callback: Callable[[Any], Any]=lambda x: x) -> Any: """ Retrieves a dictionary of all associated objects of a given kind. The retrieved dict of keys to objects can be transformed by the specified callback. :param kind: The kind of objects to get :param callback: A function that accepts the retrieved data and returns a transformed value """
[docs] @abstractmethod def init(self, all_data: Mapping[VersionedDataKind, Mapping[str, dict]]): """ Initializes (or re-initializes) the store with the specified set of objects. Any existing entries will be removed. Implementations can assume that this set of objects is up to date-- there is no need to perform individual version comparisons between the existing objects and the supplied data. :param all_data: All objects to be stored """
[docs] @abstractmethod def delete(self, kind: VersionedDataKind, key: str, version: int): """ Deletes the object associated with the specified key, if it exists and its version is less than the specified version. The object should be replaced in the data store by a placeholder with the specified version and a "deleted" property of TErue. :param kind: The kind of object to delete :param key: The key of the object to be deleted :param version: The version for the delete operation """
[docs] @abstractmethod def upsert(self, kind: VersionedDataKind, item: dict): """ Updates or inserts the object associated with the specified key. If an item with the same key already exists, it should update it only if the new item's version property is greater than the old one. :param kind: The kind of object to update :param item: The object to update or insert """
@abstractproperty def initialized(self) -> bool: """ Returns whether the store has been initialized yet or not """
[docs]class FeatureStoreCore: """ Interface for a simplified subset of the functionality of :class:`FeatureStore`, to be used in conjunction with :class:`ldclient.feature_store_helpers.CachingStoreWrapper`. This allows developers of custom ``FeatureStore`` implementations to avoid repeating logic that would commonly be needed in any such implementation, such as caching. Instead, they can implement only ``FeatureStoreCore`` and then create a ``CachingStoreWrapper``. """ __metaclass__ = ABCMeta
[docs] @abstractmethod def get_internal(self, kind: VersionedDataKind, key: str) -> dict: """ Returns the object to which the specified key is mapped, or None if no such item exists. The method should not attempt to filter out any items based on their deleted property, nor to cache any items. :param kind: The kind of object to get :param key: The key of the object :return: The object to which the specified key is mapped, or None """
[docs] @abstractmethod def get_all_internal(self, callback) -> Mapping[str, dict]: """ Returns a dictionary of all associated objects of a given kind. The method should not attempt to filter out any items based on their deleted property, nor to cache any items. :param kind: The kind of objects to get :return: A dictionary of keys to items """
[docs] @abstractmethod def init_internal(self, all_data: Mapping[VersionedDataKind, Mapping[str, dict]]): """ Initializes (or re-initializes) the store with the specified set of objects. Any existing entries will be removed. Implementations can assume that this set of objects is up to date-- there is no need to perform individual version comparisons between the existing objects and the supplied data. :param all_data: A dictionary of data kinds to item collections """
[docs] @abstractmethod def upsert_internal(self, kind: VersionedDataKind, item: dict) -> dict: """ Updates or inserts the object associated with the specified key. If an item with the same key already exists, it should update it only if the new item's version property is greater than the old one. It should return the final state of the item, i.e. if the update succeeded then it returns the item that was passed in, and if the update failed due to the version check then it returns the item that is currently in the data store (this ensures that `CachingStoreWrapper` will update the cache correctly). :param kind: The kind of object to update :param item: The object to update or insert :return: The state of the object after the update """
[docs] @abstractmethod def initialized_internal(self) -> bool: """ Returns true if this store has been initialized. In a shared data store, it should be able to detect this even if initInternal was called in a different process, i.e. the test should be based on looking at what is in the data store. The method does not need to worry about caching this value; `CachingStoreWrapper` will only call it when necessary. """
# Internal use only. Common methods for components that perform a task in the background.
[docs]class BackgroundOperation: # noinspection PyMethodMayBeStatic
[docs] def start(self): """ Starts an operation in the background. Should return immediately and not block. """ pass
[docs] def stop(self): """ Stops an operation running in the background. May return before the operation is actually stopped. """ pass
# noinspection PyMethodMayBeStatic
[docs] def is_alive(self) -> bool: """ Returns whether the operation is alive or not """ return True
[docs]class UpdateProcessor(BackgroundOperation): """ Interface for the component that obtains feature flag data in some way and passes it to a :class:`FeatureStore`. The built-in implementations of this are the client's standard streaming or polling behavior. For testing purposes, there is also :func:`ldclient.integrations.Files.new_data_source()`. """ __metaclass__ = ABCMeta
[docs] def initialized(self) -> bool: """ Returns whether the update processor has received feature flags and has initialized its feature store. """
[docs]class EventProcessor: """ Interface for the component that buffers analytics events and sends them to LaunchDarkly. The default implementation can be replaced for testing purposes. """ __metaclass__ = ABCMeta
[docs] @abstractmethod def send_event(self, event): """ Processes an event to be sent at some point. """
[docs] @abstractmethod def flush(self): """ Specifies that any buffered events should be sent as soon as possible, rather than waiting for the next flush interval. This method is asynchronous, so events still may not be sent until a later time. However, calling ``stop()`` will synchronously deliver any events that were not yet delivered prior to shutting down. """
[docs] @abstractmethod def stop(self): """ Shuts down the event processor after first delivering all pending events. """
[docs]class FeatureRequester: """ Interface for the component that acquires feature flag data in polling mode. The default implementation can be replaced for testing purposes. """ __metaclass__ = ABCMeta
[docs] def get_all(self): """ Gets all feature flags. """ pass
[docs]class DiagnosticDescription: """ Optional interface for components to describe their own configuration. """
[docs] @abstractmethod def describe_configuration(self, config) -> str: """ Used internally by the SDK to inspect the configuration. :param config: the full configuration, in case this component depends on properties outside itself :return: a string describing the type of the component, or None """ pass
[docs]class BigSegmentStoreMetadata: """ Values returned by :func:`BigSegmentStore.get_metadata()`. """
[docs] def __init__(self, last_up_to_date: Optional[int]): self.__last_up_to_date = last_up_to_date pass
@property def last_up_to_date(self) -> Optional[int]: """ The Unix epoch millisecond timestamp of the last update to the `BigSegmentStore`. It is None if the store has never been updated. """ return self.__last_up_to_date
[docs]class BigSegmentStore: """ Interface for a read-only data store that allows querying of user membership in Big Segments. Big Segments are a specific type of user segments. For more information, read the LaunchDarkly documentation: https://docs.launchdarkly.com/home/users/big-segments """
[docs] @abstractmethod def get_metadata(self) -> BigSegmentStoreMetadata: """ Returns information about the overall state of the store. This method will be called only when the SDK needs the latest state, so it should not be cached. :return: the store metadata """ pass
[docs] @abstractmethod def get_membership(self, user_hash: str) -> Optional[dict]: """ Queries the store for a snapshot of the current segment state for a specific user. The user_hash is a base64-encoded string produced by hashing the user key as defined by the Big Segments specification; the store implementation does not need to know the details of how this is done, because it deals only with already-hashed keys, but the string can be assumed to only contain characters that are valid in base64. The return value should be either a `dict`, or None if the user is not referenced in any big segments. Each key in the dictionary is a "segment reference", which is how segments are identified in Big Segment data. This string is not identical to the segment key-- the SDK will add other information. The store implementation should not be concerned with the format of the string. Each value in the dictionary is True if the user is explicitly included in the segment, False if the user is explicitly excluded from the segment-- and is not also explicitly included (that is, if both an include and an exclude existed in the data, the include would take precedence). If the user's status in a particular segment is undefined, there should be no key or value for that segment. This dictionary may be cached by the SDK, so it should not be modified after it is created. It is a snapshot of the segment membership state at one point in time. :param user_hash: the hashed user key :return: True/False values for Big Segments that reference this user """ pass
[docs] @abstractmethod def stop(self): """ Shuts down the store component and releases and resources it is using. """ pass
[docs]class BigSegmentStoreStatus: """ Information about the state of a Big Segment store, provided by :class:`BigSegmentStoreStatusProvider`. Big Segments are a specific type of user segments. For more information, read the LaunchDarkly documentation: https://docs.launchdarkly.com/home/users/big-segments """
[docs] def __init__(self, available: bool, stale: bool): self.__available = available self.__stale = stale
@property def available(self) -> bool: """ True if the Big Segment store is able to respond to queries, so that the SDK can evaluate whether a user is in a segment or not. If this property is False, the store is not able to make queries (for instance, it may not have a valid database connection). In this case, the SDK will treat any reference to a Big Segment as if no users are included in that segment. Also, the :func:`ldclient.flag.EvaluationDetail.reason` associated with with any flag evaluation that references a Big Segment when the store is not available will have a `bigSegmentsStatus` of `"STORE_ERROR"`. """ return self.__available @property def stale(self) -> bool: """ True if the Big Segment store is available, but has not been updated within the amount of time specified by {BigSegmentsConfig#stale_after}. This may indicate that the LaunchDarkly Relay Proxy, which populates the store, has stopped running or has become unable to receive fresh data from LaunchDarkly. Any feature flag evaluations that reference a Big Segment will be using the last known data, which may be out of date. Also, the :func:`ldclient.flag.EvaluationDetail.reason` associated with those evaluations will have a `bigSegmentsStatus` of `"STALE"`. """ return self.__stale
[docs]class BigSegmentStoreStatusProvider: """ An interface for querying the status of a Big Segment store. The Big Segment store is the component that receives information about Big Segments, normally from a database populated by the LaunchDarkly Relay Proxy. Big Segments are a specific type of user segments. For more information, read the LaunchDarkly documentation: https://docs.launchdarkly.com/home/users/big-segments An implementation of this abstract class is returned by :func:`ldclient.client.LDClient.big_segment_store_status_provider`. Application code never needs to implement this interface. There are two ways to interact with the status. One is to simply get the current status; if its `available` property is true, then the SDK is able to evaluate user membership in Big Segments, and the `stale`` property indicates whether the data might be out of date. The other way is to subscribe to status change notifications. Applications may wish to know if there is an outage in the Big Segment store, or if it has become stale (the Relay Proxy has stopped updating it with new data), since then flag evaluations that reference a Big Segment might return incorrect values. Use `add_listener` to register a callback for notifications. """ @abstractproperty def status(self) -> BigSegmentStoreStatus: """ Gets the current status of the store. :return: the status """ pass
[docs] @abstractmethod def add_listener(self, listener: Callable[[BigSegmentStoreStatus], None]) -> None: """ Subscribes for notifications of status changes. The listener is a function or method that will be called with a single parameter: the new `BigSegmentStoreStatus`. :param listener: the listener to add """ pass
[docs] @abstractmethod def remove_listener(self, listener: Callable[[BigSegmentStoreStatus], None]) -> None: """ Unsubscribes from notifications of status changes. :param listener: a listener that was previously added with `add_listener`; if it was not, this method does nothing """ pass