eUtils/c_src/neural/neural.cpp

#include "erl_nif.h"
#include "NeuralTable.h"
#include <stdio.h>

// Prototypes
static ERL_NIF_TERM neural_new(ErlNifEnv *env, int argc, const ERL_NIF_TERM argv[]);
static ERL_NIF_TERM neural_put(ErlNifEnv *env, int argc, const ERL_NIF_TERM argv[]);
static ERL_NIF_TERM neural_put_new(ErlNifEnv *env, int argc, const ERL_NIF_TERM argv[]);
static ERL_NIF_TERM neural_increment(ErlNifEnv *env, int argc, const ERL_NIF_TERM argv[]);
static ERL_NIF_TERM neural_unshift(ErlNifEnv *env, int argc, const ERL_NIF_TERM argv[]);
static ERL_NIF_TERM neural_shift(ErlNifEnv *env, int argc, const ERL_NIF_TERM argv[]);
static ERL_NIF_TERM neural_swap(ErlNifEnv *env, int argc, const ERL_NIF_TERM argv[]);
static ERL_NIF_TERM neural_get(ErlNifEnv *env, int argc, const ERL_NIF_TERM argv[]);
static ERL_NIF_TERM neural_delete(ErlNifEnv *env, int argc, const ERL_NIF_TERM argv[]);
static ERL_NIF_TERM neural_garbage(ErlNifEnv *env, int argc, const ERL_NIF_TERM argv[]);
static ERL_NIF_TERM neural_garbage_size(ErlNifEnv *env, int argc, const ERL_NIF_TERM argv[]);
static ERL_NIF_TERM neural_empty(ErlNifEnv *env, int argc, const ERL_NIF_TERM argv[]);
static ERL_NIF_TERM neural_drain(ErlNifEnv *env, int argc, const ERL_NIF_TERM argv[]);
static ERL_NIF_TERM neural_dump(ErlNifEnv *env, int argc, const ERL_NIF_TERM argv[]);
static ERL_NIF_TERM neural_key_pos(ErlNifEnv *env, int argc, const ERL_NIF_TERM argv[]);

static ErlNifFunc nif_funcs[] =
{
    {"make_table", 2, neural_new},
    {"do_fetch", 2, neural_get},
    {"do_delete", 2, neural_delete},
    {"do_dump", 1, neural_dump},
    {"do_drain", 1, neural_drain},
    {"empty", 1, neural_empty},
    {"insert", 3, neural_put},
    {"insert_new", 3, neural_put_new},
    {"do_increment", 3, neural_increment},
    {"do_unshift", 3, neural_unshift},
    {"do_shift", 3, neural_shift},
    {"do_swap", 3, neural_swap},
    {"garbage", 1, neural_garbage},
    {"garbage_size", 1, neural_garbage_size},
    {"key_pos", 1, neural_key_pos}
};

static ERL_NIF_TERM neural_key_pos(ErlNifEnv *env, int argc, const ERL_NIF_TERM argv[]) {
    // This function is directly exposed, so no strict guards or patterns protecting us.
    if (argc != 1 || !enif_is_atom(env, argv[0])) { return enif_make_badarg(env); }

    return NeuralTable::GetKeyPosition(env, argv[0]);
}

static ERL_NIF_TERM neural_new(ErlNifEnv *env, int argc, const ERL_NIF_TERM argv[]) {
    return NeuralTable::MakeTable(env, argv[0], argv[1]);
}

static ERL_NIF_TERM neural_put(ErlNifEnv *env, int argc, const ERL_NIF_TERM argv[]) {
    return NeuralTable::Insert(env, argv[0], argv[1], argv[2]);
}

static ERL_NIF_TERM neural_put_new(ErlNifEnv *env, int argc, const ERL_NIF_TERM argv[]) {
    return NeuralTable::InsertNew(env, argv[0], argv[1], argv[2]);
}

static ERL_NIF_TERM neural_increment(ErlNifEnv *env, int argc, const ERL_NIF_TERM argv[]) {
    if (!enif_is_atom(env, argv[0]) || !enif_is_number(env, argv[1]) || !enif_is_list(env, argv[2])) {
        return enif_make_badarg(env);
    }

    return NeuralTable::Increment(env, argv[0], argv[1], argv[2]);
}

static ERL_NIF_TERM neural_shift(ErlNifEnv *env, int argc, const ERL_NIF_TERM argv[]) {
    return NeuralTable::Shift(env, argv[0], argv[1], argv[2]);
}

static ERL_NIF_TERM neural_unshift(ErlNifEnv *env, int argc, const ERL_NIF_TERM argv[]) {
    return NeuralTable::Unshift(env, argv[0], argv[1], argv[2]);
}

static ERL_NIF_TERM neural_swap(ErlNifEnv *env, int argc, const ERL_NIF_TERM argv[]){
    return NeuralTable::Swap(env, argv[0], argv[1], argv[2]);
}

static ERL_NIF_TERM neural_get(ErlNifEnv *env, int argc, const ERL_NIF_TERM argv[]) {
    return NeuralTable::Get(env, argv[0], argv[1]);
}

static ERL_NIF_TERM neural_delete(ErlNifEnv *env, int argc, const ERL_NIF_TERM argv[]) {
    return NeuralTable::Delete(env, argv[0], argv[1]);
}

static ERL_NIF_TERM neural_empty(ErlNifEnv *env, int argc, const ERL_NIF_TERM argv[]) {
    if (!enif_is_atom(env, argv[0])) { return enif_make_badarg(env); }

    return NeuralTable::Empty(env, argv[0]);
}

static ERL_NIF_TERM neural_dump(ErlNifEnv *env, int argc, const ERL_NIF_TERM argv[]) {
    if (!enif_is_atom(env, argv[0])) { return enif_make_badarg(env); }

    return NeuralTable::Dump(env, argv[0]);
}

static ERL_NIF_TERM neural_drain(ErlNifEnv *env, int argc, const ERL_NIF_TERM argv[]) {
    if (!enif_is_atom(env, argv[0])) { return enif_make_badarg(env); }

    return NeuralTable::Drain(env, argv[0]);
}

static ERL_NIF_TERM neural_garbage(ErlNifEnv *env, int argc, const ERL_NIF_TERM argv[]) {
    if (!enif_is_atom(env, argv[0])) { return enif_make_badarg(env); }

    return NeuralTable::GarbageCollect(env, argv[0]);
}

static ERL_NIF_TERM neural_garbage_size(ErlNifEnv *env, int argc, const ERL_NIF_TERM argv[]) {
    if (!enif_is_atom(env, argv[0])) { return enif_make_badarg(env); }

    return NeuralTable::GarbageSize(env, argv[0]);
}

static void neural_resource_cleanup(ErlNifEnv* env, void* arg)
{
    /* Delete any dynamically allocated memory stored in neural_handle */
    /* neural_handle* handle = (neural_handle*)arg; */
}

static int on_load(ErlNifEnv* env, void** priv_data, ERL_NIF_TERM load_info)
{
    NeuralTable::Initialize();
    return 0;
}

static void on_unload(ErlNifEnv *env, void *priv_data) {
    NeuralTable::Shutdown();
}

ERL_NIF_INIT(neural, nif_funcs, &on_load, NULL, NULL, &on_unload);