public EvaluationOutput Evaluate(EvaluationInput input)
{
var expressions = new List <MappingExpression>(input.Expressions);
PreEvaluate(expressions, input.Fields);
var results = Evaluate(expressions, input.Sources);
PostEvaluate(expressions, results);
var response = new EvaluationOutput()
{
Total = expressions.Count(o => !string.IsNullOrEmpty(o.Expression)),
Errors = results.Count(o => !string.IsNullOrEmpty(o.Error)),
Results = results
};
return(response);
}
/// <summary>
/// posts a vehicle to the evaluation service
/// </summary>
/// <param name="vehicle"></param>
public void PostEvaluation(Vehicle vehicle)
{
StartCoroutine(SessionLib.FullWebRequest(GetCentralServiceEndpoint() + "ai/uavdesign2traj/", "POST",
request =>
{
EvaluationInput input = new EvaluationInput();
input.config = vehicle.config;
string postData = JsonConvert.SerializeObject(input);
Debug.Log(postData);
request.redirectLimit = 0;
byte[] bodyRaw = System.Text.Encoding.UTF8.GetBytes(postData);
request.uploadHandler = (UploadHandler) new UploadHandlerRaw(bodyRaw);
request.SetRequestHeader("Content-Type", "application/json");
},
request =>
{
Debug.Log(request.downloadHandler.text);
uavEvaluation = JsonConvert.DeserializeObject <EvaluationOutput>(request.downloadHandler.text);
resultstr = " Evaluation : " + getServerResponse(request.responseCode);
// currently the trajectory is offset by the below x and z values
float yoffset = 1035.0f;
float zoffset = 2000.0f;
Vector3 lastPosition = new Vector3(0, 0, 0);
foreach (Trajectory trajectory in uavEvaluation.trajectory)
{
trajectory.position[1] = trajectory.position[1] - yoffset;
trajectory.position[2] = trajectory.position[2] - zoffset;
Vector3 nextPosition = new Vector3(
(float)trajectory.position[0],
(float)trajectory.position[1],
(float)trajectory.position[2]);
}
}));
}