public override Task WriteResponseBodyAsync(OutputFormatterWriteContext context, Encoding selectedEncoding)
{
var @object = CResponse.Generate(context.Object, (HttpStatusCode)context.HttpContext.Response.StatusCode);
var newContext = new OutputFormatterWriteContext(context.HttpContext, context.WriterFactory, typeof(CResponse), @object);
newContext.ContentType = context.ContentType;
newContext.ContentTypeIsServerDefined = context.ContentTypeIsServerDefined;
return(base.WriteResponseBodyAsync(newContext, selectedEncoding));
}
public JObject FunctionHandler(JObject input, ILambdaContext context)
{
//input.
Console.WriteLine("JObject:" + Regex.Replace(input.ToString(), @"\t|\n|\r", ""));
CResponse response = new CResponse();
string action = input["action"].ToString();
LambdaLogger.Log("action: " + action);
System.Console.Out.WriteLine("Starting calculation");
try
{
switch (action)
{
case "getProfesiones":
// Retorna Listado De objetos
response.Exito = true;
response.Response["getProfesiones"] = JToken.FromObject(CProfesion.List());
break;
case "getUser":
{
CUser user = new CUser();
string key = input["key"].ToString();
string mail = input["mail"].ToString();
string clave = input["clave"].ToString();
int id = int.Parse(input["id"].ToString());
Console.WriteLine("Inside getUser ");
user = CUser.Load(id, mail, clave, key);
// Retorna Un Objeto
response.Exito = true;
response.Response = JObject.FromObject(user);
}
break;
case "getSearch":
COfertaSearch of = new COfertaSearch();
of.IDProfesion = int.Parse(input["IDProfesion"].ToString());
List <COfertaResult> lr = COferta.getOfertas(of);
response.Exito = true;
response.Response["getSearch"] = JToken.FromObject(lr);
break;
case "editarPerfil":
{
CUser user = new CUser();
bool bolExito = false;
string mail = input["mail"].ToString();
string clave = input["clave"].ToString();
int id = int.Parse(input["id"].ToString());
string nombre = input["nombre"].ToString();
string apaterno = input["apaterno"].ToString();
string amaterno = input["amaterno"].ToString();
int rating = int.Parse(input["rating"].ToString());
string link_foto = input["link_foto"].ToString();
string link_cv = input["link_cv"].ToString();
string descripcion = input["descripcion"].ToString();
Console.WriteLine("Inside getUser ");
user.Mail = mail;
user.Clave = clave;
user.Id = id;
user.Nombre = nombre;
user.APaterno = apaterno;
user.AMaterno = amaterno;
user.Rating = rating;
user.Avatar = link_foto;
user.CV = link_cv;
user.Descripcion = descripcion;
bolExito = user.Update();
// Retorna Un Objeto
response.Exito = bolExito;
}
break;
case "insProfesion":
{
int idP = 0;
CProfesion prof = new CProfesion();
string nombre = input["nombre"].ToString();
prof.Nombre = nombre;
idP = prof.Create();
if (idP > 0)
{
response.Exito = true;
}
}
break;
default:
{
CUser user = new CUser();
user.Nombre = action;
}
break;
}
}
catch (Exception ex)
{
LambdaLogger.Log(ex.ToString());
response.Exito = true;
}
Console.WriteLine("Response From Function:" + response.ToString());
return(JObject.FromObject(response));
}
//----------------------------------------------------------------------------------------------------
// UpdateReponseList
//----------------------------------------------------------------------------------------------------
public void UpdateReponseList(CResponse response)
{
if (m_intCurIdx < 0)
return; // no reponse to update
if (response.m_intScore > 0)
m_intTotalCorrect++;
m_lsResponse [m_intCurIdx].m_lsSelectedStimulusIdx = new List<int> (response.m_lsSelectedStimulusIdx);
m_lsResponse [m_intCurIdx].m_intScore = response.m_intScore;
m_lsResponse [m_intCurIdx].m_intCoinNum = response.m_intCoinNum;
/*for (int k = 0; k < m_lsResponse.Count; k++)
{
for (int i = 0; i < m_lsResponse[k].m_lsSelectedStimulusIdx.Count; i++)
Debug.Log ("*** CTrialList - UpdateReponseList - selectedIdx = " + m_lsResponse[k].m_lsSelectedStimulusIdx [i]);
Debug.Log ("*** CTrialList - UpdateReponseList - Score = " + m_lsResponse[k].m_intScore + " - coinNum = " + m_lsResponse[k].m_intCoinNum);
}*/
}
//----------------------------------------------------------------------------------------------------
// LoadTrials: load from xml file all stimuli's images, audio and target index for all trials/challenges
//----------------------------------------------------------------------------------------------------
public void LoadTrials(int intLevel)
{
m_intCurLevel = intLevel;
// if xml has already been loaded, then return
//if (m_lsTrial.Count > 0) return;
m_lsTrial.Clear ();
m_lsResponse.Clear ();
// which triallist to load
string strTrialList = "";
switch (intLevel)
{
case 0:
strTrialList = "level01-N2-xml";
break;
case 1:
strTrialList = "level02-N1-xml";
break;
case 2:
strTrialList = "level03-N4-xml";
break;
case 3:
strTrialList = "level04-V3-xml";
break;
case 4:
strTrialList = "level05-PRN2-xml";
break;
case 5:
strTrialList = "level06-N5-xml";
break;
case 6:
strTrialList = "level07-N6-xml";
break;
case 7:
strTrialList = "level08-V2-xml";
break;
case 8:
strTrialList = "level09-V1-xml";
break;
case 9:
strTrialList = "level10-A1-xml";
break;
case 10:
strTrialList = "level11-A2-xml";
break;
case 11:
strTrialList = "level12-V4-xml";
break;
case 12:
strTrialList = "level13-PREP1-xml";
break;
case 13:
strTrialList = "level14-PREP2-xml";
break;
case 14:
strTrialList = "level11-A2-xml";
break;
case 15:
strTrialList = "level07-N6-xml";
break;
case 16:
strTrialList = "level08-V2-xml";
break;
case 17:
strTrialList = "level04-V3-xml";
break;
default:
break;
}
// load xml
//XElement root = XElement.Load(strXmlFile);
//TextAsset textAsset = Resources.Load("Doc/triallist") as TextAsset;
TextAsset textAsset = Resources.Load("Doc/" + strTrialList) as TextAsset;
XElement root = XElement.Parse(textAsset.text);
m_lsTrial = (
from el in root.Elements("node")
select new CTrial
{
m_lsStimulus = (
from el2 in el.Elements("stimulus")
select new CStimulus
{
m_strName = (string)el2.Element("name"),
m_strImage = (string)el2.Element("image"),
m_strType = (string)el2.Element("type"),
}
).ToList(),
m_strTargetAudio = (string)el.Element("targetAudio"),
m_intTargetIdx = (int)el.Element("targetIdx")
}
).ToList();
// shuffle stimuli in each trial
for (var i = 0; i < m_lsTrial.Count; ++i)
m_lsTrial [i].RandomizeStimuli ();
// shuffle trials in m_lsTrial using Knuth shuffle algorithm :: courtesy of Wikipedia
for (int t = 0; t < m_lsTrial.Count; t++ )
{
CTrial tmp = m_lsTrial[t];
int r = UnityEngine.Random.Range(t, m_lsTrial.Count);
m_lsTrial[t] = m_lsTrial[r];
m_lsTrial[r] = tmp;
}
//tell the score master how many questions we're asking
ScoreMaster.SetQuestionAmount(m_lsTrial.Count);
// add empty responses
for (var i = 0; i < m_lsTrial.Count; ++i)
{
CResponse res = new CResponse();
m_lsResponse.Add(res);
}
// reset current idx
m_intCurIdx = -1;
m_intTotalCorrect = 0;
}
