Logic_loops.c

#include "logic_loops.h"
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <unistd.h>
#include <time.h>
#include <curl/curl.h>

// Global buffer for API responses
static char api_response_buffer[BUFFER_SIZE];

// Function to monitor system performance (PMLL modular function)
void monitor_system(PMLL* pml) {
    printf("Monitoring system performance...\n");
    // Simulated monitoring logic
}

// Function to evaluate model performance (PMLL modular function)
void evaluate_model(PMLL* pml) {
    printf("Evaluating ML model performance...\n");
    // Simulated evaluation logic
}

// Function to automate next steps (PMLL modular function)
void automate_steps(PMLL* pml) {
    printf("Automating and prioritizing next steps...\n");
    // Simulated automation logic
}

// Save PML metrics to persistent storage
void save_pml_metrics(PMLL* pml) {
    printf("Saving PML metrics to persistent storage...\n");
    // Simulated save logic
}

// Load PML metrics from persistent storage
void load_pml_metrics(PMLL* pml) {
    printf("Loading PML metrics from persistent storage...\n");
    // Simulated load logic
}

// Send API request and receive the response
int send_api_request(const char* endpoint, const char* request, char* response, size_t response_size) {
    CURL* curl = curl_easy_init();
    if (!curl) {
        fprintf(stderr, "Failed to initialize CURL\n");
        return -1;
    }

    struct curl_slist* headers = NULL;
    headers = curl_slist_append(headers, "Content-Type: application/json");

    char post_fields[BUFFER_SIZE];
    snprintf(post_fields, sizeof(post_fields), "{\"request\": \"%s\"}", request);

    curl_easy_setopt(curl, CURLOPT_URL, endpoint);
    curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);
    curl_easy_setopt(curl, CURLOPT_POSTFIELDS, post_fields);
    curl_easy_setopt(curl, CURLOPT_WRITEFUNCTION, [](void* contents, size_t size, size_t nmemb, void* userp) -> size_t {
        size_t total_size = size * nmemb;
        if (total_size < BUFFER_SIZE - 1) {
            strncat(api_response_buffer, (const char*)contents, total_size);
        }
        return total_size;
    });

    CURLcode res = curl_easy_perform(curl);
    if (res != CURLE_OK) {
        fprintf(stderr, "CURL error: %s\n", curl_easy_strerror(res));
        curl_easy_cleanup(curl);
        return -1;
    }

    strncpy(response, api_response_buffer, response_size - 1);
    response[response_size - 1] = '\0';

    curl_easy_cleanup(curl);
    return 0;
}

// Consolidate memory across silos
void consolidate_memory(PMLL* pml, int pipefd[2]) {
    printf("Consolidating memory across silos...\n");
    const char* data = "Consolidated memory data";
    write(pipefd[1], data, strlen(data));
    printf("Memory consolidation completed.\n");
}

// Update consolidated memory graph
void update_consolidated_memory_graph(PMLL* pml, const char* buffer) {
    printf("Updating memory graph with: %s\n", buffer);
    // Simulated graph update logic
    printf("Memory graph updated successfully.\n");
}

// Initialize the PML Logic Loop
int initialize_logic_loop(PMLL* pml) {
    if (!pml) return -1;

    pml->monitor = monitor_system;
    pml->evaluate = evaluate_model;
    pml->automate = automate_steps;

    load_pml_metrics(pml);

    printf("Logic loop initialized successfully.\n");
    return 0;
}

// Execute the PML Logic Loop
void execute_logic_loop(PMLL* pml) {
    for (int i = 0; i < MAX_ITERATIONS; i++) {
        printf("Iteration %d:\n", i + 1);
        pml->monitor(pml);
        pml->evaluate(pml);
        pml->automate(pml);

        char chatgpt_response[BUFFER_SIZE];
        char llama_response[BUFFER_SIZE];

        send_api_request(API_ENDPOINT_CHATGPT, "Hello ChatGPT", chatgpt_response, BUFFER_SIZE);
        send_api_request(API_ENDPOINT_LLAMA, chatgpt_response, llama_response, BUFFER_SIZE);

        printf("LLaMA response: %s\n", llama_response);
    }
}

// Cleanup the PML Logic Loop
void cleanup_logic_loop(PMLL* pml) {
    save_pml_metrics(pml);
    printf("Logic loop resources cleaned up.\n");
}