/// <summary>
/// Classify multiple phrases. Returns label information for multiple phrases. The status must be `Available` before you can use the classifier to classify text. Note that classifying Japanese texts is a beta feature.
/// </summary>
/// <param name="classifierId">Classifier ID to use.</param>
/// <param name="body">Phrase to classify. The maximum length of the text phrase is 1024 characters. You can submit up to 30 text phrases in a request.</param>
/// <param name="customData">Custom data object to pass data including custom request headers.</param>
/// <returns><see cref="ClassificationCollection" />ClassificationCollection</returns>
public ClassificationCollection ClassifyCollection(string classifierId, ClassifyCollectionInput body, Dictionary <string, object> customData = null)
{
if (string.IsNullOrEmpty(classifierId))
{
throw new ArgumentNullException(nameof(classifierId));
}
if (body == null)
{
throw new ArgumentNullException(nameof(body));
}
ClassificationCollection result = null;
try
{
var request = this.Client.WithAuthentication(this.UserName, this.Password)
.PostAsync($"{this.Endpoint}/v1/classifiers/{classifierId}/classify_collection");
request.WithBody <ClassifyCollectionInput>(body);
if (customData != null)
{
request.WithCustomData(customData);
}
result = request.As <ClassificationCollection>().Result;
if (result == null)
{
result = new ClassificationCollection();
}
result.CustomData = request.CustomData;
}
catch (AggregateException ae)
{
throw ae.Flatten();
}
return(result);
}
private ClassificationCollection ClassifyCollection(string classifierId, ClassifyCollectionInput body, Dictionary <string, object> customData = null)
{
Console.WriteLine("\nAttempting to ClassifyCollection()");
var result = _service.ClassifyCollection(classifierId: classifierId, body: body, customData: customData);
if (result != null)
{
Console.WriteLine("ClassifyCollection() succeeded:\n{0}", JsonConvert.SerializeObject(result, Formatting.Indented));
}
else
{
Console.WriteLine("Failed to ClassifyCollection()");
}
return(result);
}
/// <summary>
/// Classify multiple phrases.
///
/// Returns label information for multiple phrases. The status must be `Available` before you can use the
/// classifier to classify text.
///
/// Note that classifying Japanese texts is a beta feature.
/// </summary>
/// <param name="classifierId">Classifier ID to use.</param>
/// <param name="body">Phrase to classify. You can submit up to 30 text phrases in a request.</param>
/// <param name="customData">Custom data object to pass data including custom request headers.</param>
/// <returns><see cref="ClassificationCollection" />ClassificationCollection</returns>
public ClassificationCollection ClassifyCollection(string classifierId, ClassifyCollectionInput body, Dictionary <string, object> customData = null)
{
if (string.IsNullOrEmpty(classifierId))
{
throw new ArgumentNullException(nameof(classifierId));
}
if (body == null)
{
throw new ArgumentNullException(nameof(body));
}
ClassificationCollection result = null;
try
{
IClient client = this.Client;
if (_tokenManager != null)
{
client = this.Client.WithAuthentication(_tokenManager.GetToken());
}
if (_tokenManager == null)
{
client = this.Client.WithAuthentication(this.UserName, this.Password);
}
var restRequest = client.PostAsync($"{this.Endpoint}/v1/classifiers/{classifierId}/classify_collection");
restRequest.WithBody <ClassifyCollectionInput>(body);
if (customData != null)
{
restRequest.WithCustomData(customData);
}
restRequest.WithHeader("X-IBMCloud-SDK-Analytics", "service_name=natural_language_classifier;service_version=v1;operation_id=ClassifyCollection");
result = restRequest.As <ClassificationCollection>().Result;
if (result == null)
{
result = new ClassificationCollection();
}
result.CustomData = restRequest.CustomData;
}
catch (AggregateException ae)
{
throw ae.Flatten();
}
return(result);
}
private IEnumerator Examples()
{
// Get classifiers
if (!_service.GetClassifiers(OnGetClassifiers, OnFail))
{
Log.Debug("ExampleNaturalLanguageClassifier.GetClassifiers()", "Failed to get classifiers!");
}
while (!_getClassifiersTested)
{
yield return(null);
}
if (_classifierIds.Count == 0)
{
Log.Debug("ExampleNaturalLanguageClassifier.Examples()", "There are no trained classifiers. Please train a classifier...");
}
if (_classifierIds.Count > 0)
{
// Get each classifier
foreach (string classifierId in _classifierIds)
{
if (!_service.GetClassifier(OnGetClassifier, OnFail, classifierId))
{
Log.Debug("ExampleNaturalLanguageClassifier.GetClassifier()", "Failed to get classifier {0}!", classifierId);
}
}
while (!_getClassifierTested)
{
yield return(null);
}
}
if (!_areAnyClassifiersAvailable && _classifierIds.Count > 0)
{
Log.Debug("ExampleNaturalLanguageClassifier.Examples()", "All classifiers are training...");
}
// Train classifier
#if TRAIN_CLASSIFIER
string dataPath = Application.dataPath + "/Watson/Examples/ServiceExamples/TestData/weather_data_train.csv";
var trainingContent = File.ReadAllText(dataPath);
if (!_service.TrainClassifier(OnTrainClassifier, OnFail, _classifierName + "/" + DateTime.Now.ToString(), "en", trainingContent))
{
Log.Debug("ExampleNaturalLanguageClassifier.TrainClassifier()", "Failed to train clasifier!");
}
while (!_trainClassifierTested)
{
yield return(null);
}
#endif
#if DELETE_TRAINED_CLASSIFIER
if (!string.IsNullOrEmpty(_classifierToDelete))
{
if (!_service.DeleteClassifer(OnDeleteTrainedClassifier, OnFail, _classifierToDelete))
{
Log.Debug("ExampleNaturalLanguageClassifier.DeleteClassifer()", "Failed to delete clasifier {0}!", _classifierToDelete);
}
}
#endif
// Classify
if (_areAnyClassifiersAvailable)
{
if (!_service.Classify(OnClassify, OnFail, _classifierId, _inputString))
{
Log.Debug("ExampleNaturalLanguageClassifier.Classify()", "Failed to classify!");
}
while (!_classifyTested)
{
yield return(null);
}
}
// Classify Collection
ClassifyCollectionInput classifyCollectionInput = new ClassifyCollectionInput()
{
collection = new List <ClassifyInput>()
{
new ClassifyInput()
{
text = "Is it hot outside?"
},
new ClassifyInput()
{
text = "Is it going to rain?"
}
}
};
if (_areAnyClassifiersAvailable)
{
if (!_service.ClassifyCollection(OnClassifyCollection, OnFail, _classifierId, classifyCollectionInput))
{
Log.Debug("ExampleNaturalLanguageClassifier.ClassifyCollection()", "Failed to classify!");
}
while (!_classifyCollectionTested)
{
yield return(null);
}
}
Log.Debug("ExampleNaturalLanguageClassifier.Examples()", "Natural language classifier examples complete.");
}
public override IEnumerator RunTest()
{
LogSystem.InstallDefaultReactors();
// Test NaturalLanguageClassifier using loaded credentials
NaturalLanguageClassifier autoNaturalLanguageClassifier = new NaturalLanguageClassifier();
while (!autoNaturalLanguageClassifier.Credentials.HasIamTokenData())
{
yield return(null);
}
autoNaturalLanguageClassifier.GetClassifiers(OnAutoGetClassifiers, OnFail);
while (!_autoGetClassifiersTested)
{
yield return(null);
}
VcapCredentials vcapCredentials = new VcapCredentials();
fsData data = null;
string result = null;
string credentialsFilepath = "../sdk-credentials/credentials.json";
// Load credentials file if it exists. If it doesn't exist, don't run the tests.
if (File.Exists(credentialsFilepath))
{
result = File.ReadAllText(credentialsFilepath);
}
else
{
yield break;
}
// Add in a parent object because Unity does not like to deserialize root level collection types.
result = Utility.AddTopLevelObjectToJson(result, "VCAP_SERVICES");
// Convert json to fsResult
fsResult r = fsJsonParser.Parse(result, out data);
if (!r.Succeeded)
{
throw new WatsonException(r.FormattedMessages);
}
// Convert fsResult to VcapCredentials
object obj = vcapCredentials;
r = _serializer.TryDeserialize(data, obj.GetType(), ref obj);
if (!r.Succeeded)
{
throw new WatsonException(r.FormattedMessages);
}
// Set credentials from imported credntials
Credential credential = vcapCredentials.GetCredentialByname("natural-language-classifier-sdk")[0].Credentials;
// Create credential and instantiate service
TokenOptions tokenOptions = new TokenOptions()
{
IamApiKey = credential.IamApikey,
};
// Create credential and instantiate service
Credentials credentials = new Credentials(tokenOptions, credential.Url);
// Wait for tokendata
while (!credentials.HasIamTokenData())
{
yield return(null);
}
naturalLanguageClassifier = new NaturalLanguageClassifier(credentials);
// Get classifiers
if (!naturalLanguageClassifier.GetClassifiers(OnGetClassifiers, OnFail))
{
Log.Debug("TestNaturalLanguageClassifier.GetClassifiers()", "Failed to get classifiers!");
}
while (!_getClassifiersTested)
{
yield return(null);
}
if (_classifierIds.Count == 0)
{
Log.Debug("TestNaturalLanguageClassifier.Examples()", "There are no trained classifiers. Please train a classifier...");
}
if (_classifierIds.Count > 0)
{
// Get each classifier
foreach (string classifierId in _classifierIds)
{
if (!naturalLanguageClassifier.GetClassifier(OnGetClassifier, OnFail, classifierId))
{
Log.Debug("TestNaturalLanguageClassifier.GetClassifier()", "Failed to get classifier {0}!", classifierId);
}
}
while (!_getClassifierTested)
{
yield return(null);
}
}
if (!_areAnyClassifiersAvailable && _classifierIds.Count > 0)
{
Log.Debug("TestNaturalLanguageClassifier.Examples()", "All classifiers are training...");
}
// Train classifier
#if TRAIN_CLASSIFIER
string dataPath = Application.dataPath + "/Watson/Examples/ServiceExamples/TestData/weather_data_train.csv";
var trainingContent = File.ReadAllText(dataPath);
if (!naturalLanguageClassifier.TrainClassifier(OnTrainClassifier, OnFail, _classifierName + "/" + DateTime.Now.ToString(), "en", trainingContent))
{
Log.Debug("TestNaturalLanguageClassifier.TrainClassifier()", "Failed to train clasifier!");
}
while (!_trainClassifierTested)
{
yield return(null);
}
#endif
#if DELETE_TRAINED_CLASSIFIER
if (!string.IsNullOrEmpty(_classifierToDelete))
{
if (!naturalLanguageClassifier.DeleteClassifer(OnDeleteTrainedClassifier, OnFail, _classifierToDelete))
{
Log.Debug("TestNaturalLanguageClassifier.DeleteClassifer()", "Failed to delete clasifier {0}!", _classifierToDelete);
}
}
#endif
// Classify
if (_areAnyClassifiersAvailable)
{
if (!naturalLanguageClassifier.Classify(OnClassify, OnFail, _classifierId, _inputString))
{
Log.Debug("TestNaturalLanguageClassifier.Classify()", "Failed to classify!");
}
while (!_classifyTested)
{
yield return(null);
}
}
// Classify Collection
ClassifyCollectionInput classifyCollectionInput = new ClassifyCollectionInput()
{
collection = new List <ClassifyInput>()
{
new ClassifyInput()
{
text = "Is it hot outside?"
},
new ClassifyInput()
{
text = "Is it going to rain?"
}
}
};
if (_areAnyClassifiersAvailable)
{
if (!naturalLanguageClassifier.ClassifyCollection(OnClassifyCollection, OnFail, _classifierId, classifyCollectionInput))
{
Log.Debug("TestNaturalLanguageClassifier.ClassifyCollection()", "Failed to classify!");
}
while (!_classifyCollectionTested)
{
yield return(null);
}
}
Log.Debug("TestNaturalLanguageClassifier.RunTest()", "Natural language classifier examples complete.");
yield break;
}
public void TestClassifiers_Success()
{
var listClassifiersResult = ListClassifiers();
string classifierId = null;
if (listClassifiersResult.Classifiers.Count > 0)
{
classifierId = listClassifiersResult.Classifiers[0].ClassifierId;
}
Classification classifyResult = null;
if (!string.IsNullOrEmpty(classifierId))
{
ClassifyInput classifyInput = new ClassifyInput
{
Text = _textToClassify1
};
classifyResult = Classify(classifierId, classifyInput);
}
ClassificationCollection classifyCollectionResult = null;
if (!string.IsNullOrEmpty(classifierId))
{
ClassifyCollectionInput classifyCollectionInput = new ClassifyCollectionInput
{
Collection = new List <ClassifyInput>()
{
new ClassifyInput()
{
Text = _textToClassify0
},
new ClassifyInput()
{
Text = _textToClassify1
}
}
};
classifyCollectionResult = ClassifyCollection(classifierId, classifyCollectionInput);
}
Classifier createClassifierResult = null;
using (FileStream classifierData = File.OpenRead(_classifierDataFilePath), metadata = File.OpenRead(_metadataDataFilePath))
{
createClassifierResult = _service.CreateClassifier(metadata, classifierData);
}
var createdClassifierId = createClassifierResult.ClassifierId;
var getClassifierResult = GetClassifier(createdClassifierId);
if (!string.IsNullOrEmpty(classifierId) && !string.IsNullOrEmpty(createdClassifierId))
{
DeleteClassifier(createdClassifierId);
}
if (!string.IsNullOrEmpty(classifierId))
{
Assert.IsNotNull(classifyResult);
Assert.IsNotNull(classifyCollectionResult);
}
Assert.IsNotNull(getClassifierResult);
Assert.IsTrue(createdClassifierId == getClassifierResult.ClassifierId);
Assert.IsNotNull(createClassifierResult);
Assert.IsNotNull(listClassifiersResult);
}
public override IEnumerator RunTest()
{
LogSystem.InstallDefaultReactors();
VcapCredentials vcapCredentials = new VcapCredentials();
fsData data = null;
string result = null;
var vcapUrl = Environment.GetEnvironmentVariable("VCAP_URL");
var vcapUsername = Environment.GetEnvironmentVariable("VCAP_USERNAME");
var vcapPassword = Environment.GetEnvironmentVariable("VCAP_PASSWORD");
using (SimpleGet simpleGet = new SimpleGet(vcapUrl, vcapUsername, vcapPassword))
{
while (!simpleGet.IsComplete)
{
yield return(null);
}
result = simpleGet.Result;
}
// Add in a parent object because Unity does not like to deserialize root level collection types.
result = Utility.AddTopLevelObjectToJson(result, "VCAP_SERVICES");
// Convert json to fsResult
fsResult r = fsJsonParser.Parse(result, out data);
if (!r.Succeeded)
{
throw new WatsonException(r.FormattedMessages);
}
// Convert fsResult to VcapCredentials
object obj = vcapCredentials;
r = _serializer.TryDeserialize(data, obj.GetType(), ref obj);
if (!r.Succeeded)
{
throw new WatsonException(r.FormattedMessages);
}
// Set credentials from imported credntials
Credential credential = vcapCredentials.VCAP_SERVICES["natural_language_classifier"];
_username = credential.Username.ToString();
_password = credential.Password.ToString();
_url = credential.Url.ToString();
// Create credential and instantiate service
Credentials credentials = new Credentials(_username, _password, _url);
// Or authenticate using token
//Credentials credentials = new Credentials(_url)
//{
// AuthenticationToken = _token
//};
naturalLanguageClassifier = new NaturalLanguageClassifier(credentials);
// Get classifiers
if (!naturalLanguageClassifier.GetClassifiers(OnGetClassifiers, OnFail))
{
Log.Debug("TestNaturalLanguageClassifier.GetClassifiers()", "Failed to get classifiers!");
}
while (!_getClassifiersTested)
{
yield return(null);
}
if (_classifierIds.Count == 0)
{
Log.Debug("TestNaturalLanguageClassifier.Examples()", "There are no trained classifiers. Please train a classifier...");
}
if (_classifierIds.Count > 0)
{
// Get each classifier
foreach (string classifierId in _classifierIds)
{
if (!naturalLanguageClassifier.GetClassifier(OnGetClassifier, OnFail, classifierId))
{
Log.Debug("TestNaturalLanguageClassifier.GetClassifier()", "Failed to get classifier {0}!", classifierId);
}
}
while (!_getClassifierTested)
{
yield return(null);
}
}
if (!_areAnyClassifiersAvailable && _classifierIds.Count > 0)
{
Log.Debug("TestNaturalLanguageClassifier.Examples()", "All classifiers are training...");
}
// Train classifier
#if TRAIN_CLASSIFIER
string dataPath = Application.dataPath + "/Watson/Examples/ServiceExamples/TestData/weather_data_train.csv";
var trainingContent = File.ReadAllText(dataPath);
if (!naturalLanguageClassifier.TrainClassifier(OnTrainClassifier, OnFail, _classifierName + "/" + DateTime.Now.ToString(), "en", trainingContent))
{
Log.Debug("TestNaturalLanguageClassifier.TrainClassifier()", "Failed to train clasifier!");
}
while (!_trainClassifierTested)
{
yield return(null);
}
#endif
#if DELETE_TRAINED_CLASSIFIER
if (!string.IsNullOrEmpty(_classifierToDelete))
{
if (!naturalLanguageClassifier.DeleteClassifer(OnDeleteTrainedClassifier, OnFail, _classifierToDelete))
{
Log.Debug("TestNaturalLanguageClassifier.DeleteClassifer()", "Failed to delete clasifier {0}!", _classifierToDelete);
}
}
#endif
// Classify
if (_areAnyClassifiersAvailable)
{
if (!naturalLanguageClassifier.Classify(OnClassify, OnFail, _classifierId, _inputString))
{
Log.Debug("TestNaturalLanguageClassifier.Classify()", "Failed to classify!");
}
while (!_classifyTested)
{
yield return(null);
}
}
// Classify Collection
ClassifyCollectionInput classifyCollectionInput = new ClassifyCollectionInput()
{
collection = new List <ClassifyInput>()
{
new ClassifyInput()
{
text = "Is it hot outside?"
},
new ClassifyInput()
{
text = "Is it going to rain?"
}
}
};
if (_areAnyClassifiersAvailable)
{
if (!naturalLanguageClassifier.ClassifyCollection(OnClassifyCollection, OnFail, _classifierId, classifyCollectionInput))
{
Log.Debug("TestNaturalLanguageClassifier.ClassifyCollection()", "Failed to classify!");
}
while (!_classifyCollectionTested)
{
yield return(null);
}
}
Log.Debug("TestNaturalLanguageClassifier.RunTest()", "Natural language classifier examples complete.");
yield break;
}
