mdd/lib/test/test_Ansys.cpp

#include <gtest/gtest.h>
#include <json.hpp>
#include <httplib.h>
#include "Registration.h"
#include "OptimizerEvolutionary.h"
#include "ProcessorStandard.h"
#include <math.h>
#include <thread>

using namespace mdd;
namespace TEST_ANSYS {

    auto regi = Registration();
    TEST(ModuleHTTP, test_ansys_sql_server) {
        auto sql = regi.generateModule("ModuleSQL");
        json config = json::parse(sql->getConfiguration());
        config[0]["value"] = "../../../lib/test/db/materials.db";
        sql->configure(config.dump());

        auto http = regi.generateModule("ModuleHTTP");// ("", "localhost", 8888);
        config = json::parse(http->getConfiguration());
        config[0]["value"] = "";
        config[1]["value"] = "localhost";
        config[2]["value"] = 8888;
        http->configure(config.dump());
        //../../../lib/test/server/server-ansys.py

        sql->getInput(0)->setValue() = { 1 };
        
        for (size_t i = 0; i < http->getNumInputs(); i++)
        {
            std::cout << http->getInput(i)->getValue()[0] << std::endl;
        }
        for (size_t i = 2; i < sql->getNumOutputs(); i++)//0: ID 1: Name
        {
            http->getInput(i - 2)->connect(sql->getOutput(i));
        }
        http->getInput(http->getNumInputs() - 1)->setOptimizability(true);
        limits limit;
        limit.min = { 0, 0, 0, 0, 0, 0 };
        limit.max = { 90, 90, 90, 90, 90, 90 };
        limit.rule = "val[0] != val[5] || val[1] != val[4] || val[2] != val[3]";
        http->getInput(http->getNumInputs() - 1)->setLimits() = limit;
        http->getInput(http->getNumInputs() - 1)->setValue() = { 90,90,0,90,0,90 };

        http->getOutput(3)->setOptimizability(true);

        sql->update();
        //test SQL
        std::cout << "SQL-TEST" << std::endl;
        for (size_t i = 2; i < sql->getNumOutputs(); i++)
        {
            std::cout << sql->getOutput(i)->getValue()[0] << std::endl;
        }

        http->update();
        EXPECT_FLOAT_EQ(http->getOutput(3)->getValue()[0], 0.31204228291286723);
    }

    TEST(ModuleHTTP, test_configurations) {
        auto sql = regi.generateModule("ModuleSQL");
        json config = json::parse(sql->getConfiguration());
        config[0]["value"] = "../../../lib/test/db/materials.db";
        sql->configure(config.dump());

        auto http = regi.generateModule("ModuleHTTP");// ("", "localhost", 8888);
        config = json::parse(http->getConfiguration());
        config[0]["value"] = "";
        config[1]["value"] = "localhost";
        config[2]["value"] = 8888;
        http->configure(config.dump());
        //../../../lib/test/server/server-ansys.py

        sql->getInput(0)->setValue() = { 1 };

        for (size_t i = 0; i < http->getNumInputs(); i++)
        {
            std::cout << http->getInput(i)->getValue()[0] << std::endl;
        }
        for (size_t i = 2; i < sql->getNumOutputs(); i++)//0: ID 1: Name
        {
            http->getInput(i - 2)->connect(sql->getOutput(i));
        }
        http->getInput(http->getNumInputs() - 1)->setOptimizability(true);
        limits limit;
        limit.min = { 0, 0, 0, 0, 0, 0 };
        limit.max = { 90, 90, 90, 90, 90, 90 };
        limit.rule = "val[0] != val[5] || val[1] != val[4] || val[2] != val[3]";
        http->getInput(http->getNumInputs() - 1)->setLimits() = limit;

        http->getOutput(3)->setOptimizability(true);

        std::shared_ptr<ProcessorStandard> processor = std::make_shared<ProcessorStandard>();;
        processor->addModule(sql);
        processor->addModule(http);

        OptimizerEvolutionary optimizer;
        config = json::parse(optimizer.getConfiguration());
        config[0]["value"] = 3;
        config[1]["value"] = 20;
        config[2]["value"] = 0.13;
        config[3]["value"] = 5;
        optimizer.configure(config.dump());
        optimizer.connect(processor);
        optimizer.setEvaluation("out0");

        //auto res = optimizer.update();
        OptimizerEvolutionary::Individual ind;
        ind.dna = { { 0,90,90,90,90,90 } };
        std::cout << "{ 0,90,90,90,90,90 }: " << optimizer.evaluateFitness(ind) << std::endl;
        ind.dna = { { 90,90,90,90,90,0 } };
        std::cout << "{ 90,90,90,90,90,0 }: " << optimizer.evaluateFitness(ind) << std::endl;
        ind.dna = { { 90,0,0,0,0,0 } };
        std::cout << "{ 90,0,0,0,0,0 }: " << optimizer.evaluateFitness(ind) << std::endl;
        ind.dna = { { 0,0,0,0,0,90 } };
        std::cout << "{ 0,0,0,0,0,90 }: " << optimizer.evaluateFitness(ind) << std::endl;
        ind.dna = { { 0,0,0,0,0,0 } };
        std::cout << "{ 0,0,0,0,0,0 }: " << optimizer.evaluateFitness(ind) << std::endl;
        ind.dna = { { 90,90,90,90,90,90 } };
        std::cout << "{ 90,90,90,90,90,90 }: " << optimizer.evaluateFitness(ind) << std::endl;
        ind.dna = { { 0,0,90,90,90,90 } };
        std::cout << "{ 0,0,90,90,90,90 }: " << optimizer.evaluateFitness(ind) << std::endl;
        EXPECT_TRUE(ind.fitness <= 100.0);
    }

    TEST(ModuleHTTP, test_ansys_server) {
        auto sql = regi.generateModule("ModuleSQL");
        json config = json::parse(sql->getConfiguration());
        config[0]["value"] = "../../../lib/test/db/materials.db";
        sql->configure(config.dump());

        auto http = regi.generateModule("ModuleHTTP");// ("", "localhost", 8888);
        config = json::parse(http->getConfiguration());
        config[0]["value"] = "";
        config[1]["value"] = "localhost";
        config[2]["value"] = 8888;
        http->configure(config.dump());
        //../../../lib/test/server/server-ansys.py

        sql->getInput(0)->setValue() = { 1 };

        for (size_t i = 0; i < http->getNumInputs(); i++)
        {
            std::cout << http->getInput(i)->getValue()[0] << std::endl;
        }
        for (size_t i = 2; i < sql->getNumOutputs(); i++)//0: ID 1: Name
        {
            http->getInput(i - 2)->connect(sql->getOutput(i));
        }
        http->getInput(http->getNumInputs() - 1)->setOptimizability(true);
        limits limit;
        limit.min = { 0, 0, 0, 0, 0, 0 };
        limit.max = { 90, 90, 90, 90, 90, 90 };
        limit.rule = "val[0] != val[5] || val[1] != val[4] || val[2] != val[3]";
        http->getInput(http->getNumInputs() - 1)->setLimits() = limit;

        http->getOutput(3)->setOptimizability(true);

        std::shared_ptr<ProcessorStandard> processor = std::make_shared<ProcessorStandard>();;
        processor->addModule(sql);
        processor->addModule(http);

        OptimizerEvolutionary optimizer;
        config = json::parse(optimizer.getConfiguration());
        config[0]["value"] = 3;
        config[1]["value"] = 20;
        config[2]["value"] = 0.13;
        config[3]["value"] = 5;
        optimizer.configure(config.dump());
        optimizer.connect(processor);
        optimizer.setEvaluation("out0");

        auto res = optimizer.update();
        std::cout << optimizer.getBest().fitness << std::endl;
        std::cout << optimizer.evaluateFitness(optimizer.getBest()) << std::endl;
        EXPECT_TRUE(optimizer.getBest().fitness <= 100.0);
    }
    //*/
}