CacheAutomation.cpp

#include "CacheAutomation.h"
#include <iostream>
#include <stdexcept>

CacheAutomation::CacheAutomation(size_t cacheSize)
    : cacheSize(cacheSize) {
}

CacheAutomation::~CacheAutomation() {
    cache.clear();
    database.clear(); // Clear the simulated database
}

bool CacheAutomation::Initialize() {
    try {
        cache.clear();
        database.clear();
        if (!InitializeDatabaseConnection()) {
            std::cerr << "Failed to initialize database connection." << std::endl;
            return false;
        }
        return true;
    }
    catch (const std::exception& e) {
        std::cerr << "Initialization failed: " << e.what() << std::endl;
        return false;
    }
}

bool CacheAutomation::InitializeDatabaseConnection() {
    // Simulated database initialization
    std::cout << "Database connection initialized successfully." << std::endl;
    return true;
}

bool CacheAutomation::ConnectToDatabase(const std::string& databasePath) {
    try {
        // Simulate connecting to a database
        std::cout << "Connecting to database at: " << databasePath << std::endl;

        // In a real implementation, you would open a file, establish a network connection, or access a database API.
        if (databasePath.empty()) {
            throw std::runtime_error("Database path is empty.");
        }

        // Simulate successful connection
        std::cout << "Connected to database successfully at: " << databasePath << std::endl;
        return true;
    }
    catch (const std::exception& e) {
        std::cerr << "Failed to connect to database: " << e.what() << std::endl;
        return false;
    }
}

void CacheAutomation::PerformAutomationRoutine(float input) {
    PredictionData data;

    // Simulate computation and prediction
    data.computationResult = input * 1.5f;
    data.predictedResult = data.computationResult + 0.5f;
    data.confidenceLevel = 0.9f; // Simulated confidence level
    data.history.push_back(data.computationResult);
    if (data.history.size() > cacheSize) {
        data.history.erase(data.history.begin());
    }

    // Cache result
    CachePredictionResult(std::to_string(input), data);
    StorePredictionToDatabase(std::to_string(input), data);

    std::cout << "Routine executed. Computation: " << data.computationResult
        << ", Prediction: " << data.predictedResult
        << ", Confidence: " << data.confidenceLevel << std::endl;
}

void CacheAutomation::CachePredictionResult(const std::string& key, const PredictionData& data) {
    std::lock_guard<std::mutex> lock(cacheMutex);
    cache[key] = data;
}

bool CacheAutomation::RetrievePredictionResult(const std::string& key, PredictionData& data) {
    std::lock_guard<std::mutex> lock(cacheMutex);
    auto it = cache.find(key);
    if (it != cache.end()) {
        data = it->second;
        return true;
    }
    return false;
}

void CacheAutomation::StorePredictionToDatabase(const std::string& key, const PredictionData& data) {
    database[key] = data;
    std::cout << "Prediction stored in database: Key=" << key << ", Prediction=" << data.predictedResult << std::endl;
}

bool CacheAutomation::LoadPredictionFromDatabase(const std::string& key, PredictionData& data) {
    auto it = database.find(key);
    if (it != database.end()) {
        data = it->second;
        return true;
    }
    return false;
}

bool CacheAutomation::EvaluatePredictionOverride(float input, float prediction, float confidence) {
    // Simulated evaluation logic
    if (confidence > 0.8f) {
        std::cout << "Prediction override triggered for input " << input << ": Prediction=" << prediction << ", Confidence=" << confidence << std::endl;
        return true;
    }
    return false;
}

extern "C" __declspec(dllexport) void ExecuteAutomationRoutine(float input) {
    static CacheAutomation automation;
    if (!automation.Initialize()) {
        std::cerr << "Failed to initialize automation." << std::endl;
        return;
    }

    automation.PerformAutomationRoutine(input);
}