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;
}
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.");
}