protected async Task <PersonalizerClient> GetPersonalizerClientAsync(bool isSingleSlot = false, bool useLocalInference = false, float subsampleRate = 1.0f)
{
string endpoint = isSingleSlot ? TestEnvironment.SingleSlotEndpoint : TestEnvironment.MultiSlotEndpoint;
string apiKey = isSingleSlot ? TestEnvironment.SingleSlotApiKey : TestEnvironment.MultiSlotApiKey;
PersonalizerAdministrationClient adminClient = GetAdministrationClient(isSingleSlot);
if (!isSingleSlot)
{
await EnableMultiSlot(adminClient);
}
var credential = new AzureKeyCredential(apiKey);
var options = InstrumentClientOptions(new PersonalizerClientOptions(useLocalInference: useLocalInference, subsampleRate: subsampleRate));
PersonalizerClient personalizerClient = null;
if (useLocalInference)
{
if (Mode == RecordedTestMode.Playback)
{
RlNetProcessor rlNetProcessor = SetupRlNetProcessor();
personalizerClient = new PersonalizerClientForTest(new Uri(endpoint), credential, true, rlNetProcessor, options: options, subsampleRate: subsampleRate);
}
else
{
personalizerClient = new PersonalizerClient(new Uri(endpoint), credential, options: options);
}
}
else
{
personalizerClient = new PersonalizerClient(new Uri(endpoint), credential, options);
}
personalizerClient = InstrumentClient(personalizerClient);
return(personalizerClient);
}
public PersonalizerClientForTest(Uri endpoint, AzureKeyCredential credential, bool useLocalInference, RlNetProcessor rlNetProcessor, float subsampleRate = 1.0f, PersonalizerClientOptions options = null) :
base(endpoint, credential, options)
{
this.rlNetProcessor = rlNetProcessor;
}
