/// <summary>
/// Lists available models for Relations and Entities features, including Watson Knowledge Studio
/// custom models that you have created and linked to your Natural Language Understanding service.
/// </summary>
/// <param name="successCallback">The success callback.</param>
/// <param name="failCallback">The fail callback.</param>
/// <param name="customData">Optional custom data.</param>
/// <returns>True if the call succeeds, false if the call is unsuccessful.</returns>
public bool GetModels(SuccessCallback <ListModelsResults> successCallback, FailCallback failCallback, Dictionary <string, object> customData = null)
{
if (successCallback == null)
{
throw new ArgumentNullException("successCallback");
}
if (failCallback == null)
{
throw new ArgumentNullException("failCallback");
}
GetModelsRequest req = new GetModelsRequest();
req.SuccessCallback = successCallback;
req.FailCallback = failCallback;
req.CustomData = customData == null ? new Dictionary <string, object>() : customData;
req.Parameters["version"] = NaturalLanguageUnderstandingVersion.Version;
req.OnResponse = OnGetModelsResponse;
RESTConnector connector = RESTConnector.GetConnector(Credentials, ModelsEndpoint);
if (connector == null)
{
return(false);
}
return(connector.Send(req));
}
/// <summary>
/// Lists available models for Relations and Entities features, including Watson Knowledge Studio
/// custom models that you have created and linked to your Natural Language Understanding service.
/// </summary>
/// <param name="successCallback">The success callback.</param>
/// <param name="failCallback">The fail callback.</param>
/// <param name="customData">Optional custom data.</param>
/// <returns>True if the call succeeds, false if the call is unsuccessful.</returns>
public bool GetModels(SuccessCallback <ListModelsResults> successCallback, FailCallback failCallback, Dictionary <string, object> customData = null)
{
if (successCallback == null)
{
throw new ArgumentNullException("successCallback");
}
if (failCallback == null)
{
throw new ArgumentNullException("failCallback");
}
GetModelsRequest req = new GetModelsRequest();
req.SuccessCallback = successCallback;
req.FailCallback = failCallback;
req.CustomData = customData == null ? new Dictionary <string, object>() : customData;
if (req.CustomData.ContainsKey(Constants.String.CUSTOM_REQUEST_HEADERS))
{
foreach (KeyValuePair <string, string> kvp in req.CustomData[Constants.String.CUSTOM_REQUEST_HEADERS] as Dictionary <string, string> )
{
req.Headers.Add(kvp.Key, kvp.Value);
}
}
req.Parameters["version"] = NaturalLanguageUnderstandingVersion.Version;
req.OnResponse = OnGetModelsResponse;
RESTConnector connector = RESTConnector.GetConnector(Credentials, ModelsEndpoint);
if (connector == null)
{
return(false);
}
return(connector.Send(req));
}
public override void Invoke(AWSCredentials creds, RegionEndpoint region, int maxItems)
{
AmazonFraudDetectorConfig config = new AmazonFraudDetectorConfig();
config.RegionEndpoint = region;
ConfigureClient(config);
AmazonFraudDetectorClient client = new AmazonFraudDetectorClient(creds, config);
GetModelsResponse resp = new GetModelsResponse();
do
{
GetModelsRequest req = new GetModelsRequest
{
NextToken = resp.NextToken
,
MaxResults = maxItems
};
resp = client.GetModels(req);
CheckError(resp.HttpStatusCode, "200");
foreach (var obj in resp.Models)
{
AddObject(obj);
}
}while (!string.IsNullOrEmpty(resp.NextToken));
}
/// <summary>
/// This function retrieves all the language models that the user may use by setting the RecognizeModel
/// public property.
/// </summary>
/// <param name="callback">This callback is invoked with an array of all available models. The callback will
/// be invoked with null on error.</param>
/// <returns>Returns true if request has been made.</returns>
public bool GetModels(OnGetModels callback)
{
RESTConnector connector = RESTConnector.GetConnector(SERVICE_ID, "/v1/models");
if (connector == null)
{
return(false);
}
GetModelsRequest req = new GetModelsRequest();
req.Callback = callback;
req.OnResponse = OnGetModelsResponse;
return(connector.Send(req));
}
/// <summary>
/// Lists available models for Relations and Entities features, including Watson Knowledge Studio
/// custom models that you have created and linked to your Natural Language Understanding service.
/// </summary>
/// <param name="successCallback">The success callback.</param>
/// <param name="failCallback">The fail callback.</param>
/// <param name="customData">Optional custom data.</param>
/// <returns>True if the call succeeds, false if the call is unsuccessful.</returns>
public bool GetModels(SuccessCallback <ListModelsResults> successCallback, FailCallback failCallback, Dictionary <string, object> customData = null)
{
if (successCallback == null)
{
throw new ArgumentNullException("successCallback");
}
if (failCallback == null)
{
throw new ArgumentNullException("failCallback");
}
GetModelsRequest req = new GetModelsRequest();
req.SuccessCallback = successCallback;
req.FailCallback = failCallback;
req.HttpMethod = UnityWebRequest.kHttpVerbGET;
req.DisableSslVerification = DisableSslVerification;
req.CustomData = customData == null ? new Dictionary <string, object>() : customData;
if (req.CustomData.ContainsKey(Constants.String.CUSTOM_REQUEST_HEADERS))
{
foreach (KeyValuePair <string, string> kvp in req.CustomData[Constants.String.CUSTOM_REQUEST_HEADERS] as Dictionary <string, string> )
{
req.Headers.Add(kvp.Key, kvp.Value);
}
}
req.Parameters["version"] = NaturalLanguageUnderstandingVersion.Version;
req.OnResponse = OnGetModelsResponse;
req.Headers["X-IBMCloud-SDK-Analytics"] = "service_name=natural_language_understanding;service_version=v1;operation_id=GetModels";
RESTConnector connector = RESTConnector.GetConnector(Credentials, ModelsEndpoint);
if (connector == null)
{
return(false);
}
return(connector.Send(req));
}
private void OnGetModelsResponse(RESTConnector.Request req, RESTConnector.Response resp)
{
GetModelsRequest gmr = req as GetModelsRequest;
if (gmr == null)
{
throw new WatsonException("Unexpected request type.");
}
SpeechModel[] models = null;
if (resp.Success)
{
models = ParseGetModelsResponse(resp.Data);
if (models == null)
{
Log.Error("SpeechToText", "Failed to parse GetModels response.");
}
}
if (gmr.Callback != null)
{
gmr.Callback(models);
}
}
/// <summary>
/// Lists available models for Relations and Entities features, including Watson Knowledge Studio
/// custom models that you have created and linked to your Natural Language Understanding service.
/// </summary>
/// <param name="callback">The OnGetModels callback.</param>
/// <param name="customData">Optional custom data.</param>
/// <returns>True if the call succeeds, false if the call is unsuccessful.</returns>
public bool GetModels(OnGetModels callback, string customData = default(string))
{
if (callback == null)
{
throw new ArgumentNullException("callback");
}
GetModelsRequest req = new GetModelsRequest();
req.Callback = callback;
req.Data = customData;
req.Parameters["version"] = NaturalLanguageUnderstandingVersion.Version;
req.OnResponse = OnGetModelsResponse;
RESTConnector connector = RESTConnector.GetConnector(Credentials, ModelsEndpoint);
if (connector == null)
{
return(false);
}
return(connector.Send(req));
}