182 lignes
8,3 Kio
MQL5
182 lignes
8,3 Kio
MQL5
//+------------------------------------------------------------------+
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//| AiDataTaskRunnerByLeo.mq5 |
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//| Copyright 2026, Niquel Mendoza. |
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//| https://www.mql5.com/es/users/nique_372 |
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//+------------------------------------------------------------------+
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#property copyright "Copyright 2026, Niquel Mendoza."
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#property link "https://www.mql5.com/es/users/nique_372"
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#property version "1.00"
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#property description "Automate data generation and AI model training through a simple, easy-to-use GUI."
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//#define RELEASE_VERSION
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//+------------------------------------------------------------------+
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//| Include |
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//+------------------------------------------------------------------+
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#include "Global.mqh"
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#include "Backend\\All.mqh"
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//+------------------------------------------------------------------+
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//| Inputs |
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//+------------------------------------------------------------------+
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sinput group "-- Panel folder --"
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input ENUM_VERBOSE_LOG_LEVEL InpLogLevelPanelFronted = VERBOSE_LOG_LEVEL_ALL; // Log levels:
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input string InpGeneralBaseFolder = "AiDataTaskRunner\\"; // Folder for panel files
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input bool InpGeneralCommonFolder = true; // In common folder ?
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sinput group "-- Generation --"
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input ENUM_VERBOSE_LOG_LEVEL InpLogLevelPanelBackend = VERBOSE_LOG_LEVEL_ALL; // Log levels:
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input bool InpBackendCommonIn = true; // Files EA input in common folder ?
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input bool InpBackendCommonOut = true; // Files EA output in common folder ?
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input ENUM_MTTESTER_MODELADO_MODE InpBackendModeladoType = MTTESTER_MODELADO_OCHLM1; // Modelling:
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sinput group "-- Telegram bot --"
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input string InpTelegramBotPath = EXPERT_TELEGRAM_PATH; // Put the path of telegram (Full incluyed Experts\\)
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//+------------------------------------------------------------------+
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//| |
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//+------------------------------------------------------------------+
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sinput group "-- Training (Py comunication files)--"
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sinput group "- Files comuniction -"
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input string InpComment1 = "The files located here are relative to the common folder if 'Files EA output in common folder ?' is true"; // -
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input string InpComment2 = "Otherwise, they are relative to MQL5\\Files\\"; // -
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input string InpTrainingPyComPathJson = "AiDataTaskRunner\\Comunication\\res.json"; // Put the path of json
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input string InpTrainingPyComPathBin = "AiDataTaskRunner\\Comunication\\lock.bin"; // Put the path of bin file
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//+------------------------------------------------------------------+
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//| |
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//+------------------------------------------------------------------+
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sinput group "- Py interprete (only for execute .py) -"
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input string InpTrainingPyInterpete = "python.exe"; // Path to python interpreter (e.g. python.exe or C:\Python311\python.exe)
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input string InpTrainingPyPath = "C:\\Users\\USER\\AppData\\Roaming\\MetaQuotes\\Terminal\\D0E8209F77C8CF37AD8BF550E51FF075\\MQL5\\Shared Projects"; // PYTHONPATH separated by ;
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sinput group "- EA Launcher -"
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input string InpTrainingPyLauncherEa = "Shared Projects\\AiDataTaskRuner\\Backend\\Training\\TrainingLauncher.ex5"; // Put the path of EA launcher (Relative at Experts\\)
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sinput group "-- Workflows --"
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input string InpWFEaRevPath = "Shared Projects\\AiDataTaskRuner\\Backend\\Workflows\\RunnerWF.ex5"; // Put the path of EA launcher (Relative at Experts\\)
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//+------------------------------------------------------------------+
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//| Global variables |
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//+------------------------------------------------------------------+
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// Fronted de la aplicacion
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CProgram g_program;
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//---
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// Backend (Ejecucion del tester para la generacion de datos)
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CExecutionTester g_backend_executor_tester;
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// Comunicacion entre el Tab Ai y el telegram bot (Esto para modificar paraemtors del bot de telegram)
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CChatTelegramAgentLLmBase* g_sender_to_telegram;
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// Backend Tab config (Esto para ir comunicandose con el py, se hace un pool de un archivo)
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CTrainingTabConfig* g_backend_trainer_config;
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// Tab workflows (capturar eventos)
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CTabWorkflows* g_tab_wf;
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//--- Api
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// Esta es la encarga de ir recibiendo cualquier evento que le manden al panel y lo procesa
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CAiDataTaskRunnerApiReciber g_api;
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//+------------------------------------------------------------------+
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//| Expert initialization function |
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//+------------------------------------------------------------------+
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int OnInit()
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{
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//--- Configracion general del panel
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g_aidatatask_runner_config_g.base_folder = InpGeneralBaseFolder;
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g_aidatatask_runner_config_g.comon_flag = InpGeneralCommonFolder;
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//--- Configraucion del backend
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// Backend
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g_backend_executor_tester.AddLogFlags(InpLogLevelPanelBackend);
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g_backend_executor_tester.Set(g_program.GetSecTaskRunerAiDGenPtr(), InpBackendCommonIn, InpBackendCommonOut, InpBackendModeladoType);
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// Fronted
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g_program.GetSecTaskRunerAiDGenPtr().SetRunner(&g_backend_executor_tester);
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// Api
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if(!g_api.Init())
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{
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FastLog(FATAL_ERROR_TEXT, FUNCION_ACTUAL, "Fallo al inicar la api del panel");
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return INIT_FAILED;
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}
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g_api.SetDataGeneration(&g_backend_executor_tester, g_program.GetSecTaskRunerAiDGenPtr());
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// Tab ai
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g_sender_to_telegram = new CChatTelegramAgentLLmBase();
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g_program.GetSecAi().Initialize(g_aidatatask_runner_config_g.base_folder, AIDATATASK_RUNNER_COMON_FLAG, g_sender_to_telegram);
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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
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//---
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// Tab wf
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g_tab_wf = g_program.GetTabWF();
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g_tab_wf.Init(InpWFEaRevPath);
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if(!g_tab_wf.RunEA())
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{
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return INIT_FAILED;
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}
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// Config del training tab
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TrainingTabConfig config;
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config.config_py_path_json_file = InpTrainingPyComPathJson;
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config.config_py_path_lock_bin_file = InpTrainingPyComPathBin;
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config.proyect_common_flag = InpBackendCommonOut;
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config.config_path_to_ea_launcher = InpTrainingPyLauncherEa;
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config.config_path_interpete_py = InpTrainingPyInterpete;
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config.config_path_py_env = InpTrainingPyPath;
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g_backend_trainer_config = g_program.GetTrainingTab().Config();
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//--- Creacion final de la GUI
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g_program.CreateGUI(700, 500, InpLogLevelPanelFronted, config);
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//---
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return(INIT_SUCCEEDED);
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}
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//+------------------------------------------------------------------+
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//| Expert deinitialization function |
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//+------------------------------------------------------------------+
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void OnDeinit(const int reason)
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{
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//--- Matamos al timer
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EventKillTimer();
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//--- Deinit del panel
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g_program.OnDeinitEvent(reason);
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//--- Finalizamos la api
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g_api.Deinit();
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//--- Deinit final del DSL
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CAutoCleaner::Deinit(reason); // lamamos para que elimine todo lo relaciion a las depndicas del dsl (esto del feature editor)
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}
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//+------------------------------------------------------------------+
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//| Expert tick function |
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//+------------------------------------------------------------------+
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void OnTick()
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{
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//--- Nada aqui
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}
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//+------------------------------------------------------------------+
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//| Timer function |
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//+------------------------------------------------------------------+
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void OnTimer()
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{
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//---
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g_backend_trainer_config.OnTimerEvent();
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g_program.OnTimerEvent();
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}
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//+------------------------------------------------------------------+
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//| ChartEvent function |
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//+------------------------------------------------------------------+
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void OnChartEvent(const int32_t id,
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const long &lparam,
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const double &dparam,
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const string &sparam)
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{
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//---
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g_api.ChartEvent(id, lparam, dparam, sparam); // Api tiene prioridad
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g_backend_executor_tester.ChartEvent(id, lparam, dparam, sparam); // Luego los eventos del tester ()
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g_tab_wf.ChartEvent(id, lparam, dparam, sparam); // Eventos de wf
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g_program.ChartEvent(id, lparam, dparam, sparam); // Por ultimo el renderizado de la GUI
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}
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//+------------------------------------------------------------------+
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