public override IEnumerator RunTest()
        {
            LogSystem.InstallDefaultReactors();

            try
            {
                VcapCredentials vcapCredentials = new VcapCredentials();
                fsData          data            = null;

                //  Get credentials from a credential file defined in environmental variables in the VCAP_SERVICES format.
                //  See https://www.ibm.com/watson/developercloud/doc/common/getting-started-variables.html.
                var environmentalVariable = Environment.GetEnvironmentVariable("VCAP_SERVICES");
                var fileContent           = File.ReadAllText(environmentalVariable);

                //  Add in a parent object because Unity does not like to deserialize root level collection types.
                fileContent = Utility.AddTopLevelObjectToJson(fileContent, "VCAP_SERVICES");

                //  Convert json to fsResult
                fsResult r = fsJsonParser.Parse(fileContent, 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["tradeoff_analytics"][TestCredentialIndex].Credentials;
                _username = credential.Username.ToString();
                _password = credential.Password.ToString();
                _url      = credential.Url.ToString();
            }
            catch
            {
                Log.Debug("TestTradeoffAnalytics.RunTest()", "Failed to get credentials from VCAP_SERVICES file. Please configure credentials to run this test. For more information, see: https://github.com/watson-developer-cloud/unity-sdk/#authentication");
            }

            //  Create credential and instantiate service
            Credentials credentials = new Credentials(_username, _password, _url);

            //  Or authenticate using token
            //Credentials credentials = new Credentials(_url)
            //{
            //    AuthenticationToken = _token
            //};

            _tradeoffAnalytics = new TradeoffAnalytics(credentials);

            Problem problemToSolve = new Problem();

            problemToSolve.subject = "Test Subject";

            List <Column> listColumn  = new List <Column>();
            Column        columnPrice = new Column();

            columnPrice.description = "Price Column to minimize";
            columnPrice.range       = new ValueRange();
            ((ValueRange)columnPrice.range).high = 600;
            ((ValueRange)columnPrice.range).low  = 0;
            columnPrice.type         = "numeric";
            columnPrice.key          = "price";
            columnPrice.full_name    = "Price";
            columnPrice.goal         = "min";
            columnPrice.is_objective = true;
            columnPrice.format       = "$####0.00";

            Column columnWeight = new Column();

            columnWeight.description  = "Weight Column to minimize";
            columnWeight.type         = "numeric";
            columnWeight.key          = "weight";
            columnWeight.full_name    = "Weight";
            columnWeight.goal         = "min";
            columnWeight.is_objective = true;
            columnWeight.format       = "####0 g";

            Column columnBrandName = new Column();

            columnBrandName.description  = "All Brand Names";
            columnBrandName.type         = "categorical";
            columnBrandName.key          = "brand";
            columnBrandName.full_name    = "Brand";
            columnBrandName.goal         = "max";
            columnBrandName.is_objective = true;
            columnBrandName.preference   = new string[] { "Samsung", "Apple", "HTC" };
            columnBrandName.range        = new CategoricalRange();
            ((CategoricalRange)columnBrandName.range).keys = new string[] { "Samsung", "Apple", "HTC" };

            listColumn.Add(columnPrice);
            listColumn.Add(columnWeight);
            //            listColumn.Add(columnBrandName);

            problemToSolve.columns = listColumn.ToArray();


            List <Option> listOption = new List <Option>();

            Option option1 = new Option();

            option1.key    = "1";
            option1.name   = "Samsung Galaxy S4";
            option1.values = new TestDataValue();
            (option1.values as TestDataValue).weight = 130;
            (option1.values as TestDataValue).brand  = "Samsung";
            (option1.values as TestDataValue).price  = 249;
            listOption.Add(option1);

            Option option2 = new Option();

            option2.key    = "2";
            option2.name   = "Apple iPhone 5";
            option2.values = new TestDataValue();
            (option2.values as TestDataValue).weight = 112;
            (option2.values as TestDataValue).brand  = "Apple";
            (option2.values as TestDataValue).price  = 599;
            listOption.Add(option2);

            Option option3 = new Option();

            option3.key    = "3";
            option3.name   = "HTC One";
            option3.values = new TestDataValue();
            (option3.values as TestDataValue).weight = 143;
            (option3.values as TestDataValue).brand  = "HTC";
            (option3.values as TestDataValue).price  = 299;
            listOption.Add(option3);

            problemToSolve.options = listOption.ToArray();

            _tradeoffAnalytics.GetDilemma(OnGetDilemma, OnFail, problemToSolve, false);
            while (!_GetDillemaTested)
            {
                yield return(null);
            }

            Log.Debug("ExampleTradeoffAnalyitics.RunTest()", "Tradeoff analytics examples complete.");

            yield break;
        }
Ejemplo n.º 2
0
    private IEnumerator Examples()
    {
        Problem problemToSolve = new Problem();

        problemToSolve.subject = "Test Subject";

        List <Column> listColumn  = new List <Column>();
        Column        columnPrice = new Column();

        columnPrice.description = "Price Column to minimize";
        columnPrice.range       = new ValueRange();
        ((ValueRange)columnPrice.range).high = 600;
        ((ValueRange)columnPrice.range).low  = 0;
        columnPrice.type         = "numeric";
        columnPrice.key          = "price";
        columnPrice.full_name    = "Price";
        columnPrice.goal         = "min";
        columnPrice.is_objective = true;
        columnPrice.format       = "$####0.00";

        Column columnWeight = new Column();

        columnWeight.description  = "Weight Column to minimize";
        columnWeight.type         = "numeric";
        columnWeight.key          = "weight";
        columnWeight.full_name    = "Weight";
        columnWeight.goal         = "min";
        columnWeight.is_objective = true;
        columnWeight.format       = "####0 g";

        Column columnBrandName = new Column();

        columnBrandName.description  = "All Brand Names";
        columnBrandName.type         = "categorical";
        columnBrandName.key          = "brand";
        columnBrandName.full_name    = "Brand";
        columnBrandName.goal         = "max";
        columnBrandName.is_objective = true;
        columnBrandName.preference   = new string[] { "Samsung", "Apple", "HTC" };
        columnBrandName.range        = new CategoricalRange();
        ((CategoricalRange)columnBrandName.range).keys = new string[] { "Samsung", "Apple", "HTC" };

        listColumn.Add(columnPrice);
        listColumn.Add(columnWeight);
        //            listColumn.Add(columnBrandName);

        problemToSolve.columns = listColumn.ToArray();


        List <Option> listOption = new List <Option>();

        Option option1 = new Option();

        option1.key    = "1";
        option1.name   = "Samsung Galaxy S4";
        option1.values = new TestDataValue();
        (option1.values as TestDataValue).weight = 130;
        (option1.values as TestDataValue).brand  = "Samsung";
        (option1.values as TestDataValue).price  = 249;
        listOption.Add(option1);

        Option option2 = new Option();

        option2.key    = "2";
        option2.name   = "Apple iPhone 5";
        option2.values = new TestDataValue();
        (option2.values as TestDataValue).weight = 112;
        (option2.values as TestDataValue).brand  = "Apple";
        (option2.values as TestDataValue).price  = 599;
        listOption.Add(option2);

        Option option3 = new Option();

        option3.key    = "3";
        option3.name   = "HTC One";
        option3.values = new TestDataValue();
        (option3.values as TestDataValue).weight = 143;
        (option3.values as TestDataValue).brand  = "HTC";
        (option3.values as TestDataValue).price  = 299;
        listOption.Add(option3);

        problemToSolve.options = listOption.ToArray();

        _tradeoffAnalytics.GetDilemma(OnGetDilemma, OnFail, problemToSolve, false);
        while (!_GetDillemaTested)
        {
            yield return(null);
        }

        Log.Debug("ExampleTradeoffAnalyitics.Examples()", "Tradeoff analytics examples complete.");
    }