AiDataTaskRuner/UI/Training/ResVisualizer.mqh

//+------------------------------------------------------------------+
//|                                                ResVisualizer.mqh |
//|                                  Copyright 2025, Niquel Mendoza. |
//|                          https://www.mql5.com/es/users/nique_372 |
//+------------------------------------------------------------------+
#property copyright "Copyright 2025, Niquel Mendoza."
#property link      "https://www.mql5.com/es/users/nique_372"
#property strict

#ifndef AIDATATASKRUNER_UI_TRAINING_RESVISUALIZER_MQH
#define AIDATATASKRUNER_UI_TRAINING_RESVISUALIZER_MQH

//+------------------------------------------------------------------+
//| Include                                                          |
//+------------------------------------------------------------------+
#include "ResultsTab.mqh"

//+------------------------------------------------------------------+
//| Defines \ Enums \ Struct                                         |
//+------------------------------------------------------------------+
// Valor key para el hashmap
#define AIDATATASKRUNER_TRAINIG_PY_KEY(A) (A["path"].ToString()+A["type"].ToString())

//+------------------------------------------------------------------+
//|                                                                  |
//+------------------------------------------------------------------+
class CTrainingPyVisualizer : public CTrainingResultsAlmacenador
 {
private:
  //---
  CTextBox           m_text_box;

public:
                     CTrainingPyVisualizer(void) {}
                    ~CTrainingPyVisualizer(void) {}

  //---
  bool               Set(int top_gap, int left_gap, int right_gap, int bottom_gap, CWindow* win, CWndCreate* wnd_create) override final;
  void               Show(const int row) override final;
  void               OnLenguajeChange()  override final {} // Nada no necesitamos

  //---
  void               OnTrainingInit() override final;
  void               OnTrainingNewResult(TSN::CJsonNode& json) override final;

  //---
  __forceinline uint8_t EventsFlags() const override final { return TRAINING_RUNNER_PY_FLAG_ON_TRAINIG | TRAINING_RUNNER_PY_FLAG_ON_TRAINIG; }
 };

//+------------------------------------------------------------------+
//|                                                                  |
//+------------------------------------------------------------------+
bool CTrainingPyVisualizer::Set(int top_gap, int left_gap, int right_gap, int bottom_gap, CWindow *win, CWndCreate *wnd_create)
 {
//--- TextBox
  m_text_box.MainPointer(win);
  m_text_box.FontSize(10);
  m_text_box.Font("Arial");
  m_text_box.MultiLineMode(true);
  m_text_box.WordWrapMode(false);
  m_text_box.ReadOnlyMode(true);
  m_text_box.AutoXResizeMode(true);
  m_text_box.AutoXResizeRightOffset(right_gap);
  m_text_box.AutoYResizeMode(true);
  m_text_box.AutoYResizeBottomOffset(bottom_gap);
  m_text_box.SelectedTextColor(C'61,142,240');
  m_text_box.SelectedBackColor(clrAquamarine);
  m_text_box.LabelColor(AIDATATASKRUNER_COLOR_TEXT_SECONDARY);
  m_text_box.BackColor(AIDATATASKRUNER_COLOR_FONDO_TAB_PRESSED);
  m_text_box.BackColorHover(AIDATATASKRUNER_COLOR_FONDO_TAB_PRESSED);
  m_text_box.BackColorPressed(AIDATATASKRUNER_COLOR_FONDO_TAB_PRESSED);
  m_base_tab.AddToElementsArray(m_base_tab_idx, m_text_box);


//---
  if(!m_text_box.CreateTextBox(left_gap, top_gap))
   {
    GUIBASE_ERROR_CREATION(m_text_box);
    return false;
   }

//---
  wnd_create.AddToElementsArray(0, m_text_box);
  return true;
 }

//+------------------------------------------------------------------+
//|                                                                  |
//+------------------------------------------------------------------+
void CTrainingPyVisualizer::OnTrainingInit()
 {
  m_data_size = ArrayResize(m_data, 0, 0);
 }

/*
//+------------------------------------------------------------------+
//|                                                                  |
//+------------------------------------------------------------------+
void CTrainingPyVisualizer::OnTrainingNewResult(CJson *json)
 {
  AddItemFast(json); // Añadifmos a fastr (aqui habra hock)
 }

//+------------------------------------------------------------------+
//|                                                                  |
//+------------------------------------------------------------------+

// type = clasificacion
                    self.m_metrics = {
                        'accuracy': accuracy,
                        'precision': precision,
                        'recall': recall,
                        'f1_score': f1
                    }

// type = regresion
*/

//+------------------------------------------------------------------+
//|                                                                  |
//+------------------------------------------------------------------+
void CTrainingPyVisualizer::OnTrainingNewResult(TSN::CJsonNode &json)
 {
  const int idx = m_data_size;
  ArrayResize(m_data, ++m_data_size);

//----
  const int size = json["metrics"].Size();
  ArrayResize(m_data[idx].lines, size);
  int n = 0;

//----
  CJsonIteratorObj it = json["metrics"].BeginObj();
  while(it.IsValid())
   {
    const string key = it.Key();
    TSN::CJsonNode val = it.Val();
    const string display = val.ToString();
    if(display != NULL)
     {
      m_data[idx].lines[n++] = key + ": " + display;
     }
    it.Next();
   }
 }

//+------------------------------------------------------------------+
//|                                                                  |
//+------------------------------------------------------------------+
// {"metrics": {"accuracy": 0.5714285714285714, "precision": 0.45454545454545453, "recall": 0.45454545454545453, "f1_score": 0.45454545454545453},
// "type": "Clasification", "path": "C:\\Users\\leoxd\\AppData\\Roaming\\MetaQuotes\\Terminal\\Common\\Files\\EasySbAi\\XAUUSD\\M5\\label_0"}
void CTrainingPyVisualizer::Show(const int row)
 {
  if(row >= 0 && row < m_data_size)
   {
    m_text_box.ClearTextBox();

    const int n = ArraySize(m_data[row].lines);
    for(int i = 0; i < n; i++)
      m_text_box.AddLine(m_data[row].lines[i]);

    m_text_box.Update(true);
   }
 }

#endif // AIDATATASKRUNER_UI_TRAINING_RESVISUALIZER_MQH