예제 #1
0
        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;
        }
예제 #2
0
    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.");
    }
예제 #3
0
        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;
        }