Test utilities for the Fluid Framework Runtime. Include mock implementation of various runtime interfaces, as well as a mock logger for validating a particular log sequence.
When taking a dependency on a Fluid Framework library's public APIs, we recommend using a ^
(caret) version range, such as ^1.3.4
.
While Fluid Framework libraries may use different ranges with interdependencies between other Fluid Framework libraries,
library consumers should always prefer ^
.
If using any of Fluid Framework's unstable APIs (for example, its beta
APIs), we recommend using a more constrained version range, such as ~
.
Unit tests for DDS fall under three broad categories. The following sections explain how to write a unit test for these categories using the mocks in this package.
These are tests that do not require a remote DDS and so doesn't need the DDS to be connected. For example, testing that DDS APIs work correctly, local events are correctly fired, summary is generated and loaded correctly, etc. To write a unit test for these scenarios, follow these steps:
- Create a
MockFluidDataStoreRuntime
. The MockFluidDataStoreRuntime doesn't really do anything and is just used to create the DDS. - Set the
MockFluidDataStoreRuntime
'slocal
property totrue
. This will make sure that the ops generated by the DDS are not sent out. - Use the
MockFluidDataStoreRuntime
to create the DDS.
Examples - map, directory, matrix.
These are tests that require a remote DDS and need the DDS to be connected. For example, testing that the op is correctly applied on a remote client, local op is correctly ack'd, remote events are correctly fired, etc. To write a unit test for these scenarios, follow these steps:
- Create a
MockFluidDataStoreRuntime
. - Use the
MockFluidDataStoreRuntime
to create the DDS. - We need the ability to process messages from multiple DDSes / clients. Create a
MockContainerRuntimeFactory
which stores messages from multiple clients and processes them when required. - Create a
MockContainerRuntime
by callingcreateContainerRuntime
on theMockContainerRuntimeFactory
.MockContainerRuntime
keeps track of the message and localOpMetadata until it is ack'd. - We need to connect and attach the DDS to an IDeltaConnection so it can submit and process messages. Create a
MockDeltaConnection
by callingcreateDeltaConnection
on theMockContainerRuntime
. - Use the
MockDeltaConnection
to connect the DDS.
Examples - sequenceHandler, snapshotVersion.
These are remote unit tests and in addition they need the capability to disconnect and reconnect the client. For example, testing that on reconnection - DDSes resubmits ops correctly, remote clients receive ops correctly, local clients ack the ops correctly, etc. To write a unit test for these scenarios, follow these steps:
- Follow all the steps from scenario 2 above with these changes:
- Create
MockContainerRuntimeFactoryForReconnection
instead ofMockContainerRuntimeFactory
. - Create
MockContainerRuntimeForReconnection
instead ofMockContainerRuntime
.
- Create
- To disconnect the client, set
connected = false
on theMockContainerRuntimeForReconnection
. This will trigger a delete of outstanding messages for this client on theMockContainerRuntimeFactoryForReconnection
. - To reconnect the client, set
connection = true
on theMockContainerRuntimeForReconnection
. This will trigger areSubmit
call on the DDS to resubmit unack'd / unsent ops.
Examples - sharedString, consensusOrderedCollection, consensusRegisterCollection.
The InsecureTokenProvider
provides a class for locally generating JWT tokens, signed using a tenant key, that can be sent to Fluid services. These tokens will be used to authenticate and identify which user is sending operations from the client.
It takes in two parameters:
tenantKey
- Used for signing the token for use with thetenantId
that we are attempting to connect to on the serviceuser
- Used to populate the current user's details in the audience currently editing the container
The AzureClient
, from the @fluidframework/azure-client
package, takes in a tokenProvider
parameter as part of its constructor. This parameter can be fulfilled by using the InsecureTokenProvider
that is exported here. However, it is advised to only use this for development or testing purposes as it risks exposing your Azure Fluid Relay service tenant key secret on your client side code.
When using the AzureClient
, you can configure it to run against a local Tinylicous instance. Please see the client's documentation on local development for more information on how to do so. In this scenario, the InsecureTokenProvider
will take any value for its tenantKey
parameter since we're working with a local Tinylicious instance that doesn't require any authentication. As such, we can create an instance of it like this:
const tokenProvider = new InsecureTokenProvider("fooBar", { id: "123", name: "Test User" });
The AzureClient
can also be configured to a deployed Azure Fluid Relay service instance as described here. Now, the configuration is using a real tenantId
and the InsecureTokenProvider
will need the matching tenantKey
as provided during the service onboarding.
const tokenProvider = new InsecureTokenProvider("YOUR-TENANT-KEY-HERE", {
id: "123",
name: "Test User",
});
Again, this should ONLY be used for local development as including the tenant key in the client code risks allowing malicious users to sniff it from the client bundle. Please consider using the AzureFunctionTokenProvider or your own implementation that fulfills the ITokenProvider
interface as an alternative for production scenarios.
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