discord_llama/main.cpp

#include "Random.hpp"
#include "Timer.hpp"

#include <string>
#include <string_view>
#include <sstream>
#include <stdexcept>
#include <fstream>
#include <thread>
#include <chrono>
#include <functional>
#include <array>
#include <vector>
#include <map>
#include <mutex>
#include <memory>
#include <dpp/dpp.h>
#include <justlm.hpp>
#include <anyproc.hpp>
#include <ThreadPool.h>



static
std::vector<std::string_view> str_split(std::string_view s, char delimiter, size_t times = -1) {
    std::vector<std::string_view> to_return;
    decltype(s.size()) start = 0, finish = 0;
    while ((finish = s.find_first_of(delimiter, start)) != std::string_view::npos) {
        to_return.emplace_back(s.substr(start, finish - start));
        start = finish + 1;
        if (to_return.size() == times) { break; }
    }
    to_return.emplace_back(s.substr(start));
    return to_return;
}

static
void str_replace_in_place(std::string& subject, std::string_view search,
                         const std::string& replace) {
    size_t pos = 0;
    while ((pos = subject.find(search, pos)) != std::string::npos) {
         subject.replace(pos, search.length(), replace);
         pos += replace.length();
    }
}

static inline
std::string clean_string(std::string_view str) {
    std::string fres;
    for (const auto c : str) {
        if ((c >= 0x20 && c <= 0x7E)
         || c == '\n'
         || c == "ä"[0] || c == "ä"[1] || c == "ä"[2]
         || c == "ö"[0] || c == "ö"[1] || c == "ö"[2]
         || c == "ü"[0] || c == "ü"[1] || c == "ü"[2]
         || c == "Ä"[0] || c == "Ä"[1] || c == "Ä"[2]
         || c == "Ö"[0] || c == "Ö"[1] || c == "Ö"[2]
         || c == "Ü"[0] || c == "Ü"[1] || c == "Ü"[2]
         || c == "ß"[0] || c == "ß"[1] || c == "ß"[2]) {
            fres.push_back(c);
        }
    }
    return fres;
}


class Bot {
    RandomGenerator rng;
    ThreadPool tPool{1};
    Timer last_message_timer;
    std::shared_ptr<bool> stopping;
    std::unique_ptr<LM::Inference> llm;
    std::unique_ptr<Translator> translator;
    std::vector<dpp::snowflake> my_messages;
    std::mutex llm_lock;
    std::thread::id llm_tid;

    std::string_view language;
    dpp::cluster bot;
    dpp::channel channel;
    dpp::snowflake channel_id;

    struct Texts {
        std::string please_wait = "Please wait...",
                    loading = "Loading...",
                    initializing = "Initializing...",
                    timeout = "Error: Timeout";
        bool translated = false;
    } texts;

    inline static
    std::string create_text_progress_indicator(uint8_t percentage) {
        static constexpr uint8_t divisor = 3,
                                 width = 100 / divisor;
        // Progress bar percentage lookup
        const static auto indicator_lookup = [] () consteval {
            std::array<uint8_t, 101> fres;
            for (uint8_t it = 0; it != 101; it++) {
                fres[it] = it / divisor;
            }
            return fres;
        }();
        // Initialize string
        std::string fres;
        fres.resize(width+4);
        fres[0] = '`';
        fres[1] = '[';
        // Append progress
        const uint8_t bars = indicator_lookup[percentage];
        for (uint8_t it = 0; it != width; it++) {
            if (it < bars) fres[it+2] = '#';
            else fres[it+2] = ' ';
        }
        // Finalize and return string
        fres[width+2] = ']';
        fres[width+3] = '`';
        return fres;
    }

    inline static
    bool show_console_progress(float progress) {
        std::cout << ' ' << unsigned(progress) << "% \r" << std::flush;
        return true;
    }

    // Must run in llama thread
#   define ENSURE_LLM_THREAD() if (std::this_thread::get_id() != llm_tid) {throw std::runtime_error("LLM execution of '"+std::string(__PRETTY_FUNCTION__)+"' on wrong thread detected");} 0

    // Must run in llama thread
    const std::string& llm_translate_to_en(const std::string& text) {
        ENSURE_LLM_THREAD();
        // No need for translation if language is english already
        if (language == "EN") return text;
        // I am optimizing heavily for the above case. This function always returns a reference so a trick is needed here
        static std::string fres;
        fres = text;
        // Replace bot username with {43}
        str_replace_in_place(fres, bot.me.username, "{43}");
        // Run translation
        try {
            fres = translator->translate(fres, "EN", show_console_progress);
        } catch (const LM::Inference::ContextLengthException&) {
            // Handle potential context overflow error
            translator.reset();
            llm_init();
            return llm_translate_to_en(text);
        }
        // Replace {43} back with bot username
        str_replace_in_place(fres, "{43}", bot.me.username);
        std::cout << text << " --> (EN) " << fres << std::endl;
        return fres;
    }

    // Must run in llama thread
    const std::string& llm_translate_from_en(const std::string& text) {
        ENSURE_LLM_THREAD();
        // No need for translation if language is english already
        if (language == "EN") return text;
        // I am optimizing heavily for the above case. This function always returns a reference so a trick is needed here
        static std::string fres;
        fres = text;
        // Replace bot username with {43}
        str_replace_in_place(fres, bot.me.username, "{43}");
        // Run translation
        try {
            fres = translator->translate(fres, language, show_console_progress);
        } catch (const LM::Inference::ContextLengthException&) {
            // Handle potential context overflow error
            translator.reset();
            llm_init();
            return llm_translate_from_en(text);
        }
        // Replace {43} back with bot username
        str_replace_in_place(fres, "{43}", bot.me.username);
        std::cout << text << " --> (" << language << ") " << fres << std::endl;
        return fres;
    }

    // Must run in llama thread
    void llm_init() {
        if (!llm) {
            // Create params
            LM::Inference::Params params;
            params.use_mlock = false;
            params.temp = 0.5f;
            params.n_repeat_last = 128;
            params.repeat_penalty = 1.273333334f;
            params.n_ctx = 1024;
            // Make sure llm is initialized
            {
                std::unique_lock L(llm_lock);
                llm = std::make_unique<LM::Inference>("7B-ggml-model-quant.bin", params);
                if (language != "EN") translator = std::make_unique<Translator>("7B-ggml-model-quant.bin");
            }
            // Set LLM thread
            llm_tid = std::this_thread::get_id();
            // Translate texts
            if (!texts.translated) {
                texts.please_wait = llm_translate_from_en(texts.please_wait);
                texts.initializing = llm_translate_from_en(texts.initializing);
                texts.loading = llm_translate_from_en(texts.loading);
                texts.timeout = llm_translate_from_en(texts.timeout);
                texts.translated = true;
            }
            // Create message for reporting progress
            dpp::message msg(channel_id, texts.initializing);
            bot.message_create(msg, [this] (const dpp::confirmation_callback_t& cbt) {
                // Error check
                if (cbt.is_error()) {
                    throw std::runtime_error("Failed to send message to channel: "+cbt.get_error().message);
                }
                // Callback for reporting progress
                Timer timer;
                auto msg = cbt.get<dpp::message>();
                uint8_t last_progress = 0;
                auto cb = [&, this] (float progress) mutable {
                    uint8_t progress_i = progress;
                    if (timer.get<std::chrono::seconds>() > 5) {
                        msg.content = texts.loading+" "+create_text_progress_indicator(progress_i)+
                                      " **"+std::to_string(progress_i)+"**% (**"+std::to_string((progress_i-last_progress)/5)+"**%/s)";
                        last_progress = progress_i;
                        bot.message_edit(msg);
                        timer.reset();
                    }
                    return true;
                };
                // Add initial context
                std::unique_lock L(llm_lock);
                llm->append("History of the #"+channel.name+" channel.\n"
                            "Note 1: "+bot.me.username+" is a friendly chatbot that is always happy to talk in German. He is friendly and helpful and always answers immediately. He has a good sense of humor and likes everyone. His age is 16 and he was born in 2007.\n"
                            "Note 2: Ecki's real name is Eckhard Kohlhuber and he comes from Bavaria.\n"
                            "\n"
                            "Bob: "+bot.me.username+" have you ever been to France and if yes where?\n"
                            +bot.me.username+": I was in Paris, in the museums!\n"
                            "Bob: "+bot.me.username+" what are you exactly?\n"
                            +bot.me.username+": I am "+bot.me.username+", your chatbot! I can answer questions and increase the activity of the server.\n"
                            "Bob: Shall we talk about sex? "+bot.me.username+"?\n"
                            +bot.me.username+": No! I will **not** talk about any NSFW topics.\n"
                            "Bob: "+bot.me.username+" How are you?\n"
                            +bot.me.username+": I am quite well! :-)\n"
                            "Ecki: Hey "+bot.me.username+", what is 10 times 90??\n"
                            +bot.me.username+": that is 900!\n", cb);
                // Delete progress message
                bot.message_delete(msg.id, msg.channel_id);
            });
        }
    }
    // Must run in llama thread
    void prompt_add_msg(const dpp::message& msg) {
        ENSURE_LLM_THREAD();
        try {
            // Make sure message isn't too long
            if (msg.content.size() > 512) {
                return;
            }
            // Format and append line
            std::unique_lock L(llm_lock);
            for (const auto line : str_split(msg.content, '\n')) {
                Timer timeout;
                llm->append(msg.author.username+": "+llm_translate_to_en(clean_string(line))+'\n', [&] (float progress) {
                    if (timeout.get<std::chrono::minutes>() > 1) {
                        std::cerr << "\nWarning: Timeout reached processing message" << std::endl;
                        return false;
                    }
                    return show_console_progress(progress);
                });
            }
        } catch (const LM::Inference::ContextLengthException&) {
            llm.reset();
            llm_init();
        }
    }
    // Must run in llama thread
    void prompt_add_trigger() {
        ENSURE_LLM_THREAD();
        try {
            std::unique_lock L(llm_lock);
            llm->append(bot.me.username+':', show_console_progress);
        } catch (const LM::Inference::ContextLengthException&) {
            llm.reset();
            llm_init();
        }
    }

    // Must run in llama thread
    void reply(const std::function<void ()>& after_placeholder_creation = nullptr) {
        ENSURE_LLM_THREAD();
        try {
            // Create placeholder message
            auto msg = bot.message_create_sync(dpp::message(channel_id, texts.please_wait+" :thinking:"));
            // Call after_placeholder_creation callback
            if (after_placeholder_creation) after_placeholder_creation();
            // Trigger LLM  correctly
            prompt_add_trigger();
            // Run model
            Timer timeout;
            bool timed_out = false;
            auto output = llm->run("\n", [&] (std::string_view str) {
                std::cout << str << std::flush;
                if (timeout.get<std::chrono::minutes>() > 2) {
                    timed_out = true;
                    std::cerr << "\nWarning: Timeout reached generating message";
                    return false;
                }
                return true;
            });
            std::cout << std::endl;
            if (timed_out) output = texts.timeout;
            // Send resulting message
            msg.content = llm_translate_from_en(output);
            bot.message_edit(msg);
        } catch (const std::exception& e) {
            std::cerr << "Warning: " << e.what() << std::endl;
        }
    }

    // Must run in llama thread
    void attempt_reply(const dpp::message& msg, const std::function<void ()>& after_placeholder_creation = nullptr) {
        ENSURE_LLM_THREAD();
        // Decide randomly
        /*if (rng.getBool(0.075f)) {
            return reply();
        }*/
        // Reply if message contains username, mention or ID
        if (msg.content.find(bot.me.username) != std::string::npos) {
            return reply(after_placeholder_creation);
        }
        // Reply if message references user
        for (const auto msg_id : my_messages) {
            if (msg.message_reference.message_id == msg_id) {
                return reply(after_placeholder_creation);
            }
        }
    }

    void enqueue_reply() {
        tPool.submit(std::bind(&Bot::reply, this, nullptr));
    }

    void idle_auto_reply() {
        auto s = stopping;
        do {
            // Wait for a bit
            std::this_thread::sleep_for(std::chrono::minutes(5));
            // Check if last message was more than 20 minutes ago
            if (last_message_timer.get<std::chrono::hours>() > 3) {
                // Force reply
                enqueue_reply();
            }
        } while (!*s);
    }

public:
    Bot(std::string_view language, const char *token, dpp::snowflake channel_id) : bot(token), channel_id(channel_id), language(language) {
        // Initialize thread pool
        tPool.init();

        // Configure bot
        bot.on_log(dpp::utility::cout_logger());
        bot.intents = dpp::i_guild_messages | dpp::i_message_content;

        // Set callbacks
        bot.on_ready([=, this] (const dpp::ready_t&) {
            // Get channel
            bot.channel_get(channel_id, [=, this] (const dpp::confirmation_callback_t& cbt) {
                if (cbt.is_error()) {
                    throw std::runtime_error("Failed to get channel: "+cbt.get_error().message);
                }
                channel = cbt.get<dpp::channel>();
                // Initialize random generator
                rng.seed(bot.me.id);
                // Append initial prompt
                tPool.submit(std::bind(&Bot::llm_init, this));
                // Start idle auto reply thread
                std::thread(std::bind(&Bot::idle_auto_reply, this)).detach();
            });
        });
        bot.on_message_create([=, this] (const dpp::message_create_t& event) {
            // Ignore messages before full startup
            if (!llm) return;
            // Make sure message source is correct
            if (event.msg.channel_id != channel_id) return;
            // Make sure message has content
            if (event.msg.content.empty()) return;
            // Reset last message timer
            last_message_timer.reset();
            // Ignore own messages
            if (event.msg.author.id == bot.me.id) {
                // Add message to list of own messages
                my_messages.push_back(event.msg.id);
                return;
            }
            // Move on in another thread
            tPool.submit([this, msg = event.msg] () mutable {
                try {
                    // Replace bot mentions with bot username
                    str_replace_in_place(msg.content, "<@"+std::to_string(bot.me.id)+'>', bot.me.username);
                    if (msg.content == "!trigger") {
                        // Delete message
                        bot.message_delete(msg.id, msg.channel_id);
                        // Send a reply
                        reply();
                    } else {
                        tPool.submit([=, this] () {
                            // Attempt to send a reply
                            attempt_reply(msg, [=, this] () {
                                // Append message to history
                                prompt_add_msg(msg);
                            });
                        });
                    }
                } catch (const std::exception& e) {
                    std::cerr << "Warning: " << e.what() << std::endl;
                }
            });
        });
    }

    void start() {
        stopping = std::make_shared<bool>(false);
        bot.start(dpp::st_wait);
        *stopping = true;
    }
};


int main(int argc, char **argv) {
    // Check arguments
    if (argc < 3) {
        std::cout << "Usage: " << argv[0] << " <language (like \"EN\")> <token> <channel>" << std::endl;
        return -1;
    }

    // Construct and configure bot
    Bot bot(argv[1], argv[2], std::stoull(argv[3]));

    // Start bot
    bot.start();
}