//+------------------------------------------------------------------+
//|                                        AiDataTaskRunnerByLeo.mq5 |
//|                                  Copyright 2026, Niquel Mendoza. |
//|                          https://www.mql5.com/es/users/nique_372 |
//+------------------------------------------------------------------+
#property copyright "Copyright 2026, Niquel Mendoza."
#property link      "https://www.mql5.com/es/users/nique_372"
#property version   "1.00"
#property description "Automate data generation and AI model training through a simple, easy-to-use GUI."

//#define RELEASE_VERSION
#define AIDATATASKRUNER_API_DEBUG
//+------------------------------------------------------------------+
//| Include                                                          |
//+------------------------------------------------------------------+
#include "Global.mqh"
#include "Backend\\All.mqh"

//+------------------------------------------------------------------+
//| Inputs                                                           |
//+------------------------------------------------------------------+
//---
sinput group "-- Panel folder --"
input ENUM_VERBOSE_LOG_LEVEL InpLogLevelPanelFronted = VERBOSE_LOG_LEVEL_ALL; // Log levels:
input string InpGeneralBaseFolder = "AiDataTaskRunner\\"; // Folder for panel files
input bool InpGeneralCommonFolder = true; // In common folder ?

//---
sinput group "-- Generation  --"
input ENUM_VERBOSE_LOG_LEVEL InpLogLevelPanelBackend = VERBOSE_LOG_LEVEL_ALL; // Log levels:
input bool InpBackendCommonIn = true; // Files EA input in common folder ?
input bool InpBackendCommonOut = true; // Files EA output in common folder ?
input ENUM_MTTESTER_MODELADO_MODE InpBackendModeladoType = MTTESTER_MODELADO_OCHLM1; // Modelling:

//---
sinput group "-- Telegram bot  --"
input string InpTelegramBotPath = EXPERT_TELEGRAM_PATH; // Put the path of telegram (Full incluyed Experts\\)

//---
sinput group "-- Training (Py comunication files)--"
sinput group "- Files comuniction -"
input string InpComment1 = "The files located here are relative to the common folder if 'Files EA output in common folder ?' is true"; // -
input string InpComment2 = "Otherwise, they are relative to MQL5\\Files\\"; // -
input string InpTrainingPyComPathJson = "AiDataTaskRunner\\Comunication\\res.json"; // Put the path of json
input string InpTrainingPyComPathBin = "AiDataTaskRunner\\Comunication\\lock.bin"; // Put the path of bin file

sinput group "- Py interprete (only for execute .py) -"
input string InpTrainingPyInterpete = "python.exe"; // Path to python interpreter (e.g. python.exe or C:\Python311\python.exe)
input string InpTrainingPyPath = "C:\\Users\\USER\\AppData\\Roaming\\MetaQuotes\\Terminal\\D0E8209F77C8CF37AD8BF550E51FF075\\MQL5\\Shared Projects"; // PYTHONPATH separated by ;

sinput group "- EA Launcher -"
input string InpTrainingPyLauncherEa = "Shared Projects\\AiDataTaskRuner\\Backend\\Training\\TrainingLauncher.ex5"; // Put the path of EA launcher (Relative at Experts\\)

//---
sinput group "-- Workflows --"
input string InpWFEaRevPath = "Shared Projects\\AiDataTaskRuner\\Backend\\Workflows\\RunnerWF.ex5"; // Put the path of EA launcher (Relative at Experts\\)

//---
sinput group "-- MCP Server --"
input string InpMcpServerExpPathFull = "Experts\\Shared Projects\\AiDataTaskRuner\\Backend\\Mcp\\McpServ.ex5"; // Put the path of telegram (Full incluyed Experts\\)



//+------------------------------------------------------------------+
//| Global variables                                                 |
//+------------------------------------------------------------------+
// Fronted de la aplicacion
CProgram g_program;

//---
// Backend (Ejecucion del tester para la generacion de datos)
CExecutionTester g_backend_executor_tester;
// Comunicacion entre el Tab Ai y el telegram bot (Esto para modificar paraemtors del bot de telegram)
CChatTelegramAgentLLmBase* g_sender_to_telegram;
//  Backend Tab config (Esto para ir comunicandose con el py, se hace un pool de un archivo)
CTrainingTabConfig* g_backend_trainer_config;
// Tab workflows (capturar eventos)
CTabWorkflows* g_tab_wf;
//--- Api
// Esta es la encarga de ir recibiendo cualquier evento que le manden al panel y lo procesa
CAiDataTaskRunnerApiReciber g_api;
//+------------------------------------------------------------------+
//| Expert initialization function                                   |
//+------------------------------------------------------------------+
int OnInit()
 {
//--- Configracion general del panel
  g_aidatatask_runner_config_g.base_folder = InpGeneralBaseFolder;
  g_aidatatask_runner_config_g.comon_flag = InpGeneralCommonFolder;


//--- Configraucion del backend
// Backend
  g_backend_executor_tester.AddLogFlags(InpLogLevelPanelBackend);
  g_backend_executor_tester.Set(g_program.GetSecTaskRunerAiDGenPtr(), InpBackendCommonIn, InpBackendCommonOut, InpBackendModeladoType);

// Fronted
  g_program.GetSecTaskRunerAiDGenPtr().SetRunner(&g_backend_executor_tester);

// Api
  if(!g_api.Init())
   {
    FastLog(FATAL_ERROR_TEXT, FUNCION_ACTUAL, "Fallo al inicar la api del panel");
    return INIT_FAILED;
   }
  g_api.SetDataGeneration(&g_backend_executor_tester, g_program.GetSecTaskRunerAiDGenPtr());

// Tab ai
  g_sender_to_telegram = new CChatTelegramAgentLLmBase();
  g_program.GetSecAi().Initialize(g_aidatatask_runner_config_g.base_folder, AIDATATASK_RUNNER_COMON_FLAG, g_sender_to_telegram, InpMcpServerExpPathFull);
  g_sender_to_telegram.RunEA(InpTelegramBotPath); // Corremos el EA (tlgm) esto es la comuncacion entre el panel que le dice que parameotrs cambiar a telegram bot


//---
// Tab wf
  g_tab_wf = g_program.GetTabWF();
  g_tab_wf.Init(InpWFEaRevPath);
  if(!g_tab_wf.RunEA())
   {
    return INIT_FAILED;
   }

// Config del training tab
  TrainingTabConfig config;
  config.config_py_path_json_file =  InpTrainingPyComPathJson;
  config.config_py_path_lock_bin_file = InpTrainingPyComPathBin;
  config.proyect_common_flag = InpBackendCommonOut;
  config.config_path_to_ea_launcher = InpTrainingPyLauncherEa;
  config.config_path_interpete_py = InpTrainingPyInterpete;
  config.config_path_py_env = InpTrainingPyPath;
  g_backend_trainer_config = g_program.GetTrainingTab().Config();

//--- Creacion final de la GUI
  g_program.CreateGUI(700, 500, InpLogLevelPanelFronted, config);

//---
  return(INIT_SUCCEEDED);
 }
//+------------------------------------------------------------------+
//| Expert deinitialization function                                 |
//+------------------------------------------------------------------+
void OnDeinit(const int reason)
 {
//--- Matamos al timer
  EventKillTimer();

//--- Deinit del panel
  g_program.OnDeinitEvent(reason);

//--- Finalizamos la api
  g_api.Deinit();

//--- Deinit final del DSL
  CAutoCleaner::Deinit(reason); // lamamos para que elimine todo lo relaciion a las depndicas del dsl (esto del feature editor)
 }
//+------------------------------------------------------------------+
//| Expert tick function                                             |
//+------------------------------------------------------------------+
void OnTick()
 {
//--- Nada aqui
 }
//+------------------------------------------------------------------+
//| Timer function                                                   |
//+------------------------------------------------------------------+
void OnTimer()
 {
//---
  g_backend_trainer_config.OnTimerEvent();
  g_program.OnTimerEvent();
 }
//+------------------------------------------------------------------+
//| ChartEvent function                                              |
//+------------------------------------------------------------------+
void OnChartEvent(const int32_t id,
                  const long &lparam,
                  const double &dparam,
                  const string &sparam)
 {
//---
  g_api.ChartEvent(id, lparam, dparam, sparam); // Api tiene prioridad
  g_backend_executor_tester.ChartEvent(id, lparam, dparam, sparam); // Luego los eventos del tester ()
  g_tab_wf.ChartEvent(id, lparam, dparam, sparam); // Eventos de wf
  g_program.ChartEvent(id, lparam, dparam, sparam); // Por ultimo el renderizado de la GUI
 }
//+------------------------------------------------------------------+