Merge pull request 'dev' (#2) from dev into main

Reviewed-on: #2

.gitmodules

@@ -1,3 +1,3 @@
 [submodule "modules/volta"]
 	path = modules/volta
-	url = https://github.com/gooberinc/volta
+	url = https://forgejo.expect.ovh/gooberinc/volta

assets/cogs/README.md

@@ -8,9 +8,6 @@ by PowerPCFan
 [Cog Manager](https://github.com/WhatDidYouExpect/goober/blob/main/cogs/cogmanager.py)
 by expect
 
-[TensorFlow integration](https://github.com/WhatDidYouExpect/goober/blob/main/cogs/tf.py)
-by SuperSilly2 (requires Python 3.7 - 3.10, tensorflow-metal/tensorflow-gpu and tensorflow/tensorflow-macos)
-
 [Web Scraper](https://raw.githubusercontent.com/WhatDidYouExpect/goober/refs/heads/main/cogs/webscraper.py)
 by expect (requires goober version 0.11.7.2 or higher)
 

assets/cogs/lyrics.py

@@ -0,0 +1,123 @@
+import discord
+from discord.ext import commands
+from discord import app_commands
+import aiohttp
+import re
+
+class Lyrics(commands.Cog):
+    def __init__(self, bot):
+        self.bot = bot
+
+    @app_commands.command(name="lyrics", description="Get lyrics for a song")
+    @app_commands.describe(
+        artist="Name of the artist",
+        song="Title of the song",
+        language="Target language code (optional)"
+    )
+    @app_commands.choices(language=[
+        app_commands.Choice(name="Bulgarian", value="bg"),
+        app_commands.Choice(name="Czech", value="cs"),
+        app_commands.Choice(name="Danish", value="da"),
+        app_commands.Choice(name="German", value="de"),
+        app_commands.Choice(name="Greek", value="el"),
+        app_commands.Choice(name="English", value="en"),
+        app_commands.Choice(name="Spanish", value="es"),
+        app_commands.Choice(name="Estonian", value="et"),
+        app_commands.Choice(name="Finnish", value="fi"),
+        app_commands.Choice(name="French", value="fr"),
+        app_commands.Choice(name="Irish", value="ga"),
+        app_commands.Choice(name="Croatian", value="hr"),
+        app_commands.Choice(name="Hungarian", value="hu"),
+        app_commands.Choice(name="Italian", value="it"),
+        app_commands.Choice(name="Lithuanian", value="lt"),
+        app_commands.Choice(name="Latvian", value="lv"),
+        app_commands.Choice(name="Maltese", value="mt"),
+        app_commands.Choice(name="Dutch", value="nl"),
+        app_commands.Choice(name="Polish", value="pl"),
+        app_commands.Choice(name="Portuguese", value="pt"),
+        app_commands.Choice(name="Romanian", value="ro"),
+        app_commands.Choice(name="Slovak", value="sk"),
+        app_commands.Choice(name="Slovene", value="sl"),
+        app_commands.Choice(name="Swedish", value="sv"),
+    ])
+    async def lyrics(self, interaction: discord.Interaction, artist: str = None, song: str = None, language: app_commands.Choice[str] = None):
+        await interaction.response.defer()
+        if not artist or not song:
+            member = interaction.guild.get_member(interaction.user.id)
+            if not member:
+                member = await interaction.guild.fetch_member(interaction.user.id)
+            act_artist, act_song = await self.get_artist_song_from_presence(member)
+            if act_artist and act_song:
+                artist = artist or act_artist
+                song = song or act_song
+            else:
+                await interaction.followup.send("No artist or song provided and couldn't find it from your current activity.")
+                return
+
+        lyrics = await self.fetch_lyrics(artist, song)
+        if not lyrics:
+            await interaction.followup.send(f"Could not find lyrics for **{artist} - {song}**")
+            return
+
+        if language:
+            translated = await self.translate_text(lyrics, language.value)
+            if translated:
+                lyrics = translated
+
+        if len(lyrics) > 1900:
+            lyrics = lyrics[:1900] + "\n\n[...lyrics truncated...]"
+
+        embed = discord.Embed(
+            title=f"{artist} - {song}",
+            description=lyrics,
+            color=discord.Color.blue()
+        )
+        embed.set_footer(text=f"Requested by {interaction.user}", icon_url=interaction.user.display_avatar.url)
+        await interaction.followup.send(embed=embed)
+
+    async def get_artist_song_from_presence(self, member: discord.Member):
+        for activity in member.activities:
+            if isinstance(activity, discord.Spotify):
+                return activity.artist, activity.title
+        return None, None
+
+
+    async def fetch_lyrics(self, artist, song):
+        artist_q = artist.replace(' ', '+').lower()
+        song_q = song.replace(' ', '+').lower()
+
+        url = f"https://lrclib.net/api/get?artist_name={artist_q}&track_name={song_q}"
+        print(url)
+
+        async with aiohttp.ClientSession() as session:
+            try:
+                async with session.get(url) as resp:
+                    if resp.status != 200:
+                        return None
+                    data = await resp.json()
+                    return data.get('plainLyrics')
+            except Exception:
+                return None
+
+    async def translate_text(self, text: str, target_lang: str) -> str | None:
+        translate_url = "https://translate.googleapis.com/translate_a/single"
+        params = {
+            "client": "gtx",
+            "sl": "auto",
+            "tl": target_lang,
+            "dt": "t",
+            "q": text
+        }
+        async with aiohttp.ClientSession() as session:
+            try:
+                async with session.get(translate_url, params=params) as resp:
+                    if resp.status != 200:
+                        return None
+                    result = await resp.json()
+                    translated_chunks = [item[0] for item in result[0] if item[0]]
+                    return ''.join(translated_chunks)
+            except Exception:
+                return None
+
+async def setup(bot):
+    await bot.add_cog(Lyrics(bot))

assets/cogs/tf.py.disabled

@@ -1,155 +0,0 @@
-import discord
-from discord.ext import commands
-import os
-import numpy as np
-import json
-import pickle
-import functools
-import re
-import time
-import asyncio
-
-ready = True
-MODEL_MATCH_STRING = r"[0-9]{2}_[0-9]{2}_[0-9]{4}-[0-9]{2}_[0-9]{2}"
-
-try:
-    import tensorflow as tf    
-    from tensorflow import keras
-    from tensorflow.keras.preprocessing.text import Tokenizer
-    from tensorflow.keras.preprocessing.sequence import pad_sequences
-    from tensorflow.keras.models import Sequential, load_model
-    from tensorflow.keras.layers import Embedding, LSTM, Dense
-    from tensorflow.keras.backend import clear_session
-    
-    if tf.config.list_physical_devices('GPU'):
-        print("Using GPU acceleration")
-    elif tf.config.list_physical_devices('Metal'):
-        print("Using Metal for macOS acceleration")
-except ImportError:
-    print("ERROR: Failed to import TensorFlow. Ensure you have the correct dependencies:")
-    print("tensorflow>=2.15.0")
-    print("For macOS (Apple Silicon): tensorflow-metal")
-    ready = False
-
-
-class TFCallback(keras.callbacks.Callback):
-    def __init__(self, bot, progress_embed: discord.Embed, message):
-        self.embed = progress_embed
-        self.bot = bot
-        self.message = message
-        self.times = [time.time()]
-        
-    async def send_message(self, message: str, description: str, **kwargs):
-        if "epoch" in kwargs:
-            self.times.append(time.time())
-            avg_epoch_time = np.mean(np.diff(self.times))
-            description = f"ETA: {round(avg_epoch_time)}s"
-        self.embed.add_field(name=f"<t:{round(time.time())}:t> - {message}", value=description, inline=False)
-        await self.message.edit(embed=self.embed)
-    
-    def on_train_end(self, logs=None):
-        self.bot.loop.create_task(self.send_message("Training stopped", "Training has been stopped."))
-    
-    def on_epoch_begin(self, epoch, logs=None):
-        self.bot.loop.create_task(self.send_message(f"Starting epoch {epoch}", "This might take a while", epoch=True))
-    
-    def on_epoch_end(self, epoch, logs=None):
-        self.bot.loop.create_task(self.send_message(f"Epoch {epoch} ended", f"Accuracy: {round(logs.get('accuracy', 0.0), 4)}"))
-        
-
-class Ai:
-    def __init__(self):
-        model_path = settings.get("model_path")
-        if model_path:
-            self.__load_model(model_path)
-        self.is_loaded = model_path is not None
-        self.batch_size = 64 
-        
-    def generate_model_name(self):
-        return time.strftime('%d_%m_%Y-%H_%M', time.localtime())
-    
-    def __load_model(self, model_path):
-        clear_session()
-        self.model = load_model(os.path.join(model_path, "model.h5"))
-        model_name = os.path.basename(model_path)
-        try:
-            with open(os.path.join(model_path, "tokenizer.pkl"), "rb") as f:
-                self.tokenizer = pickle.load(f)
-        except FileNotFoundError:
-            print("Failed to load tokenizer, using default.")
-            self.tokenizer = Tokenizer()
-            with open("memory.json", "r") as f:
-                self.tokenizer.fit_on_texts(json.load(f))
-        self.is_loaded = True
-    
-    def reload_model(self):
-        clear_session()
-        model_path = settings.get("model_path")
-        if model_path:
-            self.__load_model(model_path)
-            self.is_loaded = True
-
-    async def run_async(self, func, bot, *args, **kwargs):
-        return await bot.loop.run_in_executor(None, functools.partial(func, *args, **kwargs))
-
-    
-class Learning(Ai):
-    def create_model(self, memory, epochs=2):
-        memory = memory[:2000]
-        tokenizer = Tokenizer()
-        tokenizer.fit_on_texts(memory)
-        sequences = tokenizer.texts_to_sequences(memory)
-        X, y = [], []
-        for seq in sequences:
-            for i in range(1, len(seq)):
-                X.append(seq[:i])
-                y.append(seq[i])
-        maxlen = max(map(len, X))
-        X = pad_sequences(X, maxlen=maxlen, padding="pre")
-        y = np.array(y)
-        
-        model = Sequential([
-            Embedding(input_dim=VOCAB_SIZE, output_dim=128, input_length=maxlen),
-            LSTM(64),
-            Dense(VOCAB_SIZE, activation="softmax")
-        ])
-        
-        model.compile(optimizer="adam", loss="sparse_categorical_crossentropy", metrics=["accuracy"])
-        history = model.fit(X, y, epochs=epochs, batch_size=64, callbacks=[tf_callback])
-        self.save_model(model, tokenizer, history)
-        
-    def save_model(self, model, tokenizer, history, name=None):
-        name = name or self.generate_model_name()
-        model_dir = os.path.join("models", name)
-        os.makedirs(model_dir, exist_ok=True)
-        
-        with open(os.path.join(model_dir, "info.json"), "w") as f:
-            json.dump(history.history, f)
-        with open(os.path.join(model_dir, "tokenizer.pkl"), "wb") as f:
-            pickle.dump(tokenizer, f)
-        model.save(os.path.join(model_dir, "model.h5"))
-
-    
-class Generation(Ai):
-    def generate_sentence(self, word_amount, seed):
-        if not self.is_loaded:
-            return False
-        for _ in range(word_amount):
-            token_list = self.tokenizer.texts_to_sequences([seed])[0]
-            token_list = pad_sequences([token_list], maxlen=self.model.input_shape[1], padding="pre")
-            predicted_word_index = np.argmax(self.model.predict(token_list, verbose=0), axis=-1)[0]
-            output_word = next((w for w, i in self.tokenizer.word_index.items() if i == predicted_word_index), "")
-            seed += " " + output_word
-        return seed
-    
-
-VOCAB_SIZE = 100_000
-settings = {}
-learning = Learning()
-generation = Generation()
-
-tf_callback = None
-
-
-async def setup(bot):
-    await bot.add_cog(Tf(bot))

assets/locales/en.json

@@ -1,8 +1,23 @@
 {
+    "minigames_hangman_game": "Word: {display_word()}\nWrong guesses: {wrong_guesses}/{max_wrong}",
+    "minigames_hangman_lost": "You lost! The word was:",
+    "minigames_hangman_won": "You won! The word was:",
+    "minigames_hangman_already_guessed": "You already guessed",
+    "minigames_hangman_user_letter_guess": "Your letter guess",
+    "minigames_hangman_guess": "Guess a Letter",
+    "minigames_hangman_api_failed": "Failed to get a random word.",
+    "minigames_hangman": "Play Hangman with a random word",
+    "minigames_click_to_guess": "Click to guess a number from 1 to 10",
+    "minigames_guess_button": "Guess",
+    "minigames_wrong_number": "Wrong! The number was",
+    "minigames_correct": "Correct!",
+    "minigames_invalid_number": "Invalid number!",
+    "minigames_guess_the_number": "Guess the number",
+    "minigames_your_guess": "Your guess (1-10)",
     "memory_file_valid": "The memory.json file is valid!",
     "file_aint_uft8": "File is not valid UTF-8 text. Might be binary or corrupted.",
     "psutil_not_installed": "Memory check skipped.",
-    "not_cloned": "Goober is not cloned! Please clone it from GitHub.",
+    "not_cloned": "Goober is not cloned! Please clone it from Git.",
     "checks_disabled": "Checks are disabled!",
     "unhandled_exception": "An unhandled exception occurred. Please report this issue on GitHub.",
     "active_users:": "Active users:",

assets/locales/fr.json

@@ -1,130 +0,0 @@
-{
-    "checks_disabled": "Les vérifications sont désactivées !",
-    "unhandled_exception": "Une exception non gérée est survenue. Merci de rapporter ce problème sur GitHub.",
-    "active_users:": "Utilisateurs actifs :",
-    "spacy_initialized": "spaCy et spacytextblob sont prêts.",
-    "spacy_model_not_found": "Le modèle spaCy est introuvable ! Téléchargement en cours...",
-    "env_file_not_found": "Le fichier .env est introuvable ! Créez-en un avec les variables nécessaires.",
-    "error_fetching_active_users": "Erreur lors de la récupération des utilisateurs actifs : {error}",
-    "error_sending_alive_ping": "Erreur lors de l’envoi du ping actif : {error}",
-    "already_started": "J’ai déjà démarré ! Je ne me mets pas à jour...",
-    "please_restart": "Redémarre, stp !",
-    "local_ahead": "Local {remote}/{branch} est en avance ou à jour. Pas de mise à jour...",
-    "remote_ahead": "Remote {remote}/{branch} est en avance. Mise à jour en cours...",
-    "cant_find_local_version": "Je ne trouve pas la variable local_version ! Ou elle a été modifiée et ce n’est pas un entier !",
-    "running_prestart_checks": "Exécution des vérifications préalables au démarrage...",
-    "continuing_in_seconds": "Reprise dans {seconds} secondes... Appuie sur une touche pour passer.",
-    "missing_requests_psutil": "requests et psutil manquants ! Installe-les avec pip : `pip install requests psutil`",
-    "requirements_not_found": "requirements.txt introuvable à {path}, a-t-il été modifié ?",
-    "warning_failed_parse_imports": "Avertissement : Échec du parsing des imports depuis {filename} : {error}",
-    "cogs_dir_not_found": "Répertoire des cogs introuvable à {path}, scan ignoré.",
-    "std_lib_local_skipped": "LIB STD / LOCAL {package} (vérification sautée)",
-    "ok_installed": "OK",
-    "missing_package": "MANQUANT",
-    "missing_package2": "n’est pas installé",
-    "missing_packages_detected": "Packages manquants détectés :",
-    "telling_goober_central": "Envoi à goober central à {url}",
-    "failed_to_contact": "Impossible de contacter {url} : {error}",
-    "all_requirements_satisfied": "Toutes les dépendances sont satisfaites.",
-    "ping_to": "Ping vers {host} : {latency} ms",
-    "high_latency": "Latence élevée détectée ! Tu pourrais avoir des délais de réponse.",
-    "could_not_parse_latency": "Impossible d’analyser la latence.",
-    "ping_failed": "Ping vers {host} échoué.",
-    "error_running_ping": "Erreur lors du ping : {error}",
-    "memory_usage": "Utilisation mémoire : {used} Go / {total} Go ({percent}%)",
-    "memory_above_90": "Usage mémoire au-dessus de 90% ({percent}%). Pense à libérer de la mémoire.",
-    "total_memory": "Mémoire totale : {total} Go",
-    "used_memory": "Mémoire utilisée : {used} Go",
-    "low_free_memory": "Mémoire libre faible détectée ! Seulement {free} Go disponibles.",
-    "measuring_cpu": "Mesure de l’usage CPU par cœur...",
-    "core_usage": "Cœur {idx} : [{bar}] {usage}%",
-    "total_cpu_usage": "Usage total CPU : {usage}%",
-    "high_avg_cpu": "Moyenne CPU élevée : {usage}%",
-    "really_high_cpu": "Charge CPU vraiment élevée ! Le système pourrait ralentir ou planter.",
-    "memory_file": "Fichier mémoire : {size} Mo",
-    "memory_file_large": "Fichier mémoire de 1 Go ou plus, pense à le nettoyer pour libérer de l’espace.",
-    "memory_file_corrupted": "Fichier mémoire corrompu ! Erreur JSON : {error}",
-    "consider_backup_memory": "Pense à sauvegarder et recréer le fichier mémoire.",
-    "memory_file_encoding": "Problèmes d’encodage du fichier mémoire : {error}",
-    "error_reading_memory": "Erreur lecture fichier mémoire : {error}",
-    "memory_file_not_found": "Fichier mémoire introuvable.",
-    "modification_warning": "Goober a été modifié ! Toutes les modifications seront perdues lors d'une mise à jour !",
-    "reported_version": "Version rapportée :",
-    "current_hash": "Hachage actuel :",
-    "not_found": "n'est pas trouvé !",
-    "version_error": "Impossible de récupérer les informations de version. Code d'état",
-    "loaded_cog": "Cog chargé :",
-    "loaded_cog2": "Module chargé :",
-    "cog_fail": "Échec du chargement du cog :",
-    "cog_fail2": "Échec du chargement du module :",
-    "no_model": "Aucun modèle Markov sauvegardé trouvé. Démarrage à partir de zéro.",
-    "folder_created": "Dossier '{folder_name}' créé.",
-    "folder_exists": "Le dossier '{folder_name}' existe déjà. Ignorons...",
-    "logged_in": "Connecté en tant que",
-    "synced_commands": "Synchronisé",
-    "synced_commands2": "commandes !",
-    "fail_commands_sync": "Échec de la synchronisation des commandes :",
-    "started": "{name} a démarré !",
-    "name_check": "Erreur lors de la vérification de la disponibilité du nom :",
-    "name_taken": "Le nom est déjà pris. Veuillez choisir un autre nom.",
-    "name_check2": "Erreur lors de la vérification de la disponibilité du nom :",
-    "add_token": "Token : {token}\nVeuillez ajouter ce token à votre fichier .env comme",
-    "token_exists": "Le token existe déjà dans .env. Utilisation du token existant.",
-    "registration_error": "Erreur lors de l'enregistrement :",
-    "version_backup": "Sauvegarde créée :",
-    "backup_error": "Erreur : {LOCAL_VERSION_FILE} introuvable pour la sauvegarde.",
-    "model_loaded": "Modèle Markov chargé depuis",
-    "fetch_update_fail": "Impossible de récupérer les informations de mise à jour.",
-    "invalid_server": "Erreur : Informations de version invalides reçues du serveur.",
-    "goober_server_alert": "Alerte du serveur Goober central !\n",
-    "new_version": "Nouvelle version disponible : {latest_version} (Actuelle : {local_version})",
-    "changelog": "Consultez {VERSION_URL}/goob/changes.txt pour voir les modifications\n\n",
-    "invalid_version": "La version : {local_version} n'est pas valide !",
-    "invalid_version2": "Si c'est intentionnel, ignorez ce message. Sinon, appuyez sur Y pour récupérer une version valide depuis le serveur, quelle que soit la version actuelle de Goober.",
-    "invalid_version3": "La version actuelle sera sauvegardée dans current_version.bak..",
-    "input": "(Y ou toute autre touche pour ignorer...)",
-    "modification_ignored": "Vous avez modifié",
-    "modification_ignored2": "IGNOREWARNING est désactivé..",
-    "latest_version": "Vous utilisez la dernière version :",
-    "latest_version2": "Consultez {VERSION_URL}/goob/changes.txt pour voir les modifications",
-    "pinging_disabled": "Le ping est désactivé ! Je ne préviens pas le serveur que je suis en ligne...",
-    "goober_ping_success": "Connecté à Goober central en tant que {NAME}",
-    "goober_ping_fail": "Échec de l'envoi des données. Le serveur a retourné le code d'état :",
-    "goober_ping_fail2": "Une erreur est survenue lors de l'envoi des données :",
-    "sentence_positivity": "La positivité de la phrase est :",
-    "command_edit_fail": "Échec de la modification du message :",
-    "command_desc_retrain": "Réentraîne manuellement le modèle Markov.",
-    "command_markov_retrain": "Réentraînement du modèle Markov... Veuillez patienter.",
-    "command_markov_memory_not_found": "Erreur : fichier de mémoire introuvable !",
-    "command_markov_memory_is_corrupt": "Erreur : le fichier de mémoire est corrompu !",
-    "command_markov_retraining": "Traitement de {processed_data}/{data_size} points de données...",
-    "command_markov_retrain_successful": "Modèle Markov réentraîné avec succès en utilisant {data_size} points de données !",
-    "command_desc_talk": "parle et tout ça",
-    "command_talk_insufficent_text": "Je dois apprendre plus de messages avant de pouvoir parler.",
-    "command_talk_generation_fail": "Je n'ai rien à dire pour le moment !",
-    "command_desc_help": "aide",
-    "command_help_embed_title": "Aide du bot",
-    "command_help_embed_desc": "Liste des commandes regroupées par catégorie.",
-    "command_help_categories_general": "Général",
-    "command_help_categories_admin": "Administration",
-    "command_help_categories_custom": "Commandes personnalisées",
-    "command_ran": "Info : {message.author.name} a exécuté {message.content}",
-    "command_ran_s": "Info : {interaction.user} a exécuté ",
-    "command_desc_ping": "ping",
-    "command_ping_embed_desc": "Latence du bot :",
-    "command_ping_footer": "Demandé par",
-    "command_about_desc": "à propos",
-    "command_about_embed_title": "À propos de moi",
-    "command_about_embed_field1": "Nom",
-    "command_about_embed_field2name": "Version",
-    "command_about_embed_field2value": "Locale : {local_version} \nDernière : {latest_version}",
-    "command_desc_stats": "statistiques",
-    "command_stats_embed_title": "Statistiques du bot",
-    "command_stats_embed_desc": "Données sur la mémoire du bot.",
-    "command_stats_embed_field1name": "Statistiques du fichier",
-    "command_stats_embed_field1value": "Taille : {file_size} octets\nLignes : {line_count}",
-    "command_stats_embed_field2name": "Version",
-    "command_stats_embed_field2value": "Locale : {local_version} \nDernière : {latest_version}",
-    "command_stats_embed_field3name": "Informations variables",
-    "command_stats_embed_field3value": "Nom : {NAME} \nPréfixe : {PREFIX} \nID du propriétaire : {ownerid}\nLigne de ping : {PING_LINE} \nPartage de mémoire activé : {showmemenabled} \nEntraînement utilisateur activé : {USERTRAIN_ENABLED} \nChanson : {song} \nTexte de démarrage : ```{splashtext}```"
-}

assets/locales/fr_ca.json

@@ -0,0 +1,149 @@
+{
+    "minigames_hangman_game": "Mot à deviner : {display_word()}\nMauvaises guesses : {wrong_guesses}/{max_wrong}",
+    "minigames_hangman_lost": "T'es échoué solide! Le mot était :",
+    "minigames_hangman_won": "T'as gagné en masse! Le mot était :",
+    "minigames_hangman_already_guessed": "T'as déjà essayé ça mon chum",
+    "minigames_hangman_user_letter_guess": "Ta guess de lettre",
+    "minigames_hangman_guess": "Devine une lettre",
+    "minigames_hangman_api_failed": "Ça a chié en essayant d'avoir un mot aléatoire.",
+    "minigames_hangman": "Jouer au Pendu avec un mot pogné au hasard",
+    "minigames_click_to_guess": "Clique pour deviner un chiffre entre 1 pis 10",
+    "minigames_guess_button": "Devine",
+    "minigames_wrong_number": "Nope! C'était",
+    "minigames_correct": "Bonne guess!",
+    "minigames_invalid_number": "Chiffre pas valide!",
+    "minigames_guess_the_number": "Devine le chiffre",
+    "minigames_your_guess": "Ta guess (1-10)",
+    "memory_file_valid": "Le fichier memory.json est correct!",
+    "file_aint_uft8": "Le fichier est pas du bon UTF-8. Ça doit être binaire ou scrap.",
+    "psutil_not_installed": "Vérification de mémoire skipée.",
+    "not_cloned": "Goober est pas cloné! Va donc le cloner depuis Git.",
+    "checks_disabled": "Les checks sont désactivées!",
+    "unhandled_exception": "Y'a eu une erreur pas prévue. Rapporte ça sur GitHub mon gars.",
+    "active_users:": "Monde actif :",
+    "spacy_initialized": "spaCy pis spacytextblob sont prêts.",
+    "spacy_model_not_found": "Le modèle spaCy est introuvable! On le télécharge...",
+    "env_file_not_found": "Le fichier .env est pas là! Fais-en un avec les variables nécessaires.",
+    "error_fetching_active_users": "Ça a chié en essayant de pogner les utilisateurs actifs : {error}",
+    "error_sending_alive_ping": "Ça a chié en envoyant le ping : {error}",
+    "already_started": "J'suis déjà parti! J'me mets pas à jour...",
+    "please_restart": "Redémarre-moi donc!",
+    "local_ahead": "La version locale {remote}/{branch} est à jour. Pas besoin d'update...",
+    "remote_ahead": "La version remote {remote}/{branch} est en avance. On update...",
+    "cant_find_local_version": "J'arrive pas à trouver la variable local_version! Ou ben elle a été modifiée pis c'est pas un chiffre!",
+    "running_prestart_checks": "On fait les checks avant de partir...",
+    "continuing_in_seconds": "On continue dans {seconds} secondes... Appuie sur une touche pour skip.",
+    "missing_requests_psutil": "Y manque requests pis psutil! Installe-les avec pip : `pip install requests psutil`",
+    "requirements_not_found": "requirements.txt introuvable à {path}, est-ce qu'il a été modifié?",
+    "warning_failed_parse_imports": "Attention : Ça a chié en lisant les imports de {filename} : {error}",
+    "cogs_dir_not_found": "Le dossier des cogs est pas à {path}, on skip le scan.",
+    "std_lib_local_skipped": "LIB STD / LOCAL {package} (check skipé)",
+    "ok_installed": "OK",
+    "missing_package": "MANQUANT",
+    "missing_package2": "est pas installé",
+    "missing_packages_detected": "Y'a des affaires qui manquent :",
+    "telling_goober_central": "J'envoie ça à goober central à {url}",
+    "failed_to_contact": "J'ai pas réussi à contacter {url} : {error}",
+    "all_requirements_satisfied": "Tout ce qu'il faut est installé.",
+    "ping_to": "Ping à {host} : {latency} ms",
+    "high_latency": "Latence élevée! Ça pourrait être lent.",
+    "could_not_parse_latency": "J'ai pas pu comprendre la latence.",
+    "ping_failed": "Le ping à {host} a chié.",
+    "error_running_ping": "Ça a chié en faisant le ping : {error}",
+    "memory_usage": "Mémoire utilisée : {used} Go / {total} Go ({percent}%)",
+    "memory_above_90": "La mémoire est à plus de 90% ({percent}%). Libère de la mémoire.",
+    "total_memory": "Mémoire totale : {total} Go",
+    "used_memory": "Mémoire utilisée : {used} Go",
+    "low_free_memory": "Y'a presque plus de mémoire! Juste {free} Go de libre.",
+    "measuring_cpu": "On check l'usage CPU par coeur...",
+    "core_usage": "Coeur {idx} : [{bar}] {usage}%",
+    "total_cpu_usage": "Usage total CPU : {usage}%",
+    "high_avg_cpu": "CPU trop élevé : {usage}%",
+    "really_high_cpu": "Le CPU est en tabarnak! Ça pourrait crasher.",
+    "memory_file": "Fichier mémoire : {size} Mo",
+    "memory_file_large": "Fichier mémoire de 1 Go ou plus, nettoie ça pour faire de la place.",
+    "memory_file_corrupted": "Fichier mémoire scrap! Erreur JSON : {error}",
+    "consider_backup_memory": "Pense à faire un backup pis recréer le fichier mémoire.",
+    "memory_file_encoding": "Problème d'encodage du fichier mémoire : {error}",
+    "error_reading_memory": "Ça a chié en lisant le fichier mémoire : {error}",
+    "memory_file_not_found": "Fichier mémoire pas trouvé.",
+    "modification_warning": "Goober a été modifié! Tes modifications vont être perdues à l'update!",
+    "reported_version": "Version rapportée :",
+    "current_hash": "Hash actuel :",
+    "not_found": "est pas trouvé!",
+    "version_error": "J'ai pas pu avoir les infos de version. Code d'état",
+    "loaded_cog": "Cog chargé :",
+    "loaded_cog2": "Module chargé :",
+    "cog_fail": "Ça a chié en chargeant le cog :",
+    "cog_fail2": "Ça a chié en chargeant le module :",
+    "no_model": "Y'a pas de modèle Markov de sauvegardé. On part de zéro.",
+    "folder_created": "Dossier '{folder_name}' créé.",
+    "folder_exists": "Le dossier '{folder_name}' existe déjà. On skip...",
+    "logged_in": "Connecté en tant que",
+    "synced_commands": "Synchronisé",
+    "synced_commands2": "commandes!",
+    "fail_commands_sync": "Ça a chié en synchronisant les commandes :",
+    "started": "{name} est parti!",
+    "name_check": "Ça a chié en checkant si le nom est libre :",
+    "name_taken": "Le nom est déjà pris. Choisis-en un autre.",
+    "name_check2": "Ça a chié en checkant si le nom est libre :",
+    "add_token": "Token : {token}\nAjoute ce token dans ton .env comme",
+    "token_exists": "Le token existe déjà dans .env. On utilise celui-là.",
+    "registration_error": "Ça a chié en s'enregistrant :",
+    "version_backup": "Backup créé :",
+    "backup_error": "Erreur : {LOCAL_VERSION_FILE} pas trouvé pour le backup.",
+    "model_loaded": "Modèle Markov chargé depuis",
+    "fetch_update_fail": "J'ai pas pu avoir les infos d'update.",
+    "invalid_server": "Erreur : Infos de version invalides du serveur.",
+    "goober_server_alert": "Alerte du serveur Goober central!\n",
+    "new_version": "Nouvelle version disponible : {latest_version} (Actuelle : {local_version})",
+    "changelog": "Va voir {VERSION_URL}/goob/changes.txt pour les changements\n\n",
+    "invalid_version": "La version : {local_version} est pas valide!",
+    "invalid_version2": "Si c'est fait exprès, ignore ça. Sinon, appuie sur Y pour avoir une version valide du serveur, peu importe ta version actuelle de Goober.",
+    "invalid_version3": "La version actuelle va être backupée dans current_version.bak..",
+    "input": "(Y ou n'importe quelle touche pour skip...)",
+    "modification_ignored": "T'as modifié",
+    "modification_ignored2": "IGNOREWARNING est désactivé..",
+    "latest_version": "T'as la dernière version :",
+    "latest_version2": "Va voir {VERSION_URL}/goob/changes.txt pour les changements",
+    "pinging_disabled": "Le ping est désactivé! J'dis pas au serveur que j'suis en ligne...",
+    "goober_ping_success": "Connecté à Goober central en tant que {NAME}",
+    "goober_ping_fail": "Ça a chié en envoyant les données. Le serveur a retourné :",
+    "goober_ping_fail2": "Ça a chié en envoyant les données :",
+    "sentence_positivity": "La phrase est positive à :",
+    "command_edit_fail": "Ça a chié en éditant le message :",
+    "command_desc_retrain": "Réentraîne le modèle Markov à la main.",
+    "command_markov_retrain": "Réentraînement du modèle Markov... Attend un peu.",
+    "command_markov_memory_not_found": "Erreur : fichier mémoire pas trouvé!",
+    "command_markov_memory_is_corrupt": "Erreur : fichier mémoire scrap!",
+    "command_markov_retraining": "Traitement de {processed_data}/{data_size} points de données...",
+    "command_markov_retrain_successful": "Modèle Markov réentraîné avec succès avec {data_size} points de données!",
+    "command_desc_talk": "parle pis toute",
+    "command_talk_insufficent_text": "J'ai pas assez appris pour pouvoir parler.",
+    "command_talk_generation_fail": "J'ai rien à dire pour l'instant!",
+    "command_desc_help": "aide",
+    "command_help_embed_title": "Aide du bot",
+    "command_help_embed_desc": "Liste des commandes par catégorie.",
+    "command_help_categories_general": "Général",
+    "command_help_categories_admin": "Admin",
+    "command_help_categories_custom": "Commandes perso",
+    "command_ran": "Info : {message.author.name} a fait {message.content}",
+    "command_ran_s": "Info : {interaction.user} a fait ",
+    "command_desc_ping": "ping",
+    "command_ping_embed_desc": "Latence du bot :",
+    "command_ping_footer": "Demandé par",
+    "command_about_desc": "à propos",
+    "command_about_embed_title": "À propos de moi",
+    "command_about_embed_field1": "Nom",
+    "command_about_embed_field2name": "Version",
+    "command_about_embed_field2value": "Locale : {local_version} \nDernière : {latest_version}",
+    "command_desc_stats": "stats",
+    "command_stats_embed_title": "Stats du bot",
+    "command_stats_embed_desc": "Infos sur la mémoire du bot.",
+    "command_stats_embed_field1name": "Stats du fichier",
+    "command_stats_embed_field1value": "Taille : {file_size} octets\nLignes : {line_count}",
+    "command_stats_embed_field2name": "Version",
+    "command_stats_embed_field2value": "Locale : {local_version} \nDernière : {latest_version}",
+    "command_stats_embed_field3name": "Infos variables",
+    "command_stats_embed_field3value": "Nom : {NAME} \nPréfixe : {PREFIX} \nID du proprio : {ownerid}\nLigne de ping : {PING_LINE} \nPartage de mémoire activé : {showmemenabled} \nEntraînement utilisateur activé : {USERTRAIN_ENABLED} \nChanson : {song} \nTexte de démarrage : ```{splashtext}```"
+}

assets/locales/it.json

@@ -1,8 +1,23 @@
 {
+    "minigames_hangman_game": "Parola: {display_word()}\nErrori: {wrong_guesses}/{max_wrong}",
+    "minigames_hangman_lost": "Hai perso! La parola era:",
+    "minigames_hangman_won": "Hai vinto! La parola era:",
+    "minigames_hangman_already_guessed": "Hai già indovinato",
+    "minigames_hangman_user_letter_guess": "La tua lettera",
+    "minigames_hangman_guess": "Indovina una lettera",
+    "minigames_hangman_api_failed": "Impossibile ottenere una parola casuale.",
+    "minigames_hangman": "Gioca all'impiccato con una parola casuale",
+    "minigames_click_to_guess": "Clicca per indovinare un numero da 1 a 10",
+    "minigames_guess_button": "Indovina",
+    "minigames_wrong_number": "Sbagliato! Il numero era",
+    "minigames_correct": "Corretto!",
+    "minigames_invalid_number": "Numero non valido!",
+    "minigames_guess_the_number": "Indovina il numero",
+    "minigames_your_guess": "Il tuo numero (1-10)",
     "memory_file_valid": "Il file JSON è valido!",
     "file_aint_utf8": "Il file non è un UTF-8 valido. Forse è binario?",
     "psutil_not_installed": "Controllo memoria saltato.",
-    "not_cloned": "Goober non è stato clonato! Clonalo da GitHub.",
+    "not_cloned": "Goober non è stato clonato! Clonalo da Git.",
     "checks_disabled": "I controlli sono disabilitati!",
     "unhandled_exception": "Si è verificata un'eccezione non gestita. Segnala questo problema su GitHub, per favore.",
     "active_users:": "Utenti attivi:",

bot.py

@@ -7,8 +7,9 @@ import traceback
 import subprocess
 import tempfile
 import shutil
-import uuid
+import psutil
 import asyncio
+import platform
 import sys
 from typing import List, Dict, Set, Optional, Tuple, Any, Union, Callable, Coroutine, TypeVar, Type
 import logging
@@ -41,8 +42,6 @@ from discord.ext import commands
 from discord import app_commands
 from discord import Colour, Embed, File, Interaction, Message
 from discord.abc import Messageable
-
-from better_profanity import profanity
 from discord.ext import commands
 
 from modules.volta.main import _, set_language
@@ -51,10 +50,9 @@ from modules.version import *
 from modules.sentenceprocessing import *
 from modules.unhandledexception import handle_exception
 from modules.image import gen_meme, gen_demotivator
-
+from modules.minigames import guessthenumber, hangman
 sys.excepthook = handle_exception
 check_for_update()  # Check for updates (from modules/version.py)
-
 # Type aliases
 T = TypeVar('T')
 MessageContext = Union[commands.Context, discord.Interaction]
@@ -66,16 +64,6 @@ currenthash: str = ""
 launched: bool = False
 slash_commands_enabled: bool = False
 
-# Set up Discord bot intents and create bot instance
-intents: discord.Intents = discord.Intents.default()
-intents.messages = True
-intents.message_content = True
-bot: commands.Bot = commands.Bot(
-    command_prefix=PREFIX,
-    intents=intents,
-    allowed_mentions=discord.AllowedMentions(everyone=False, roles=False, users=False, replied_user=True)
-)
-
 # Load memory and Markov model for text generation
 memory: List[str] = load_memory()
 markov_model: Optional[markovify.Text] = load_markov_model()
@@ -125,7 +113,6 @@ async def on_ready() -> None:
         logger.info(f"{_('synced_commands')} {len(synced)} {(_('synced_commands2'))}")
         slash_commands_enabled = True
         logger.info(f"{(_('started')).format(name=NAME)}")
-
         bot.loop.create_task(send_alive_ping_periodically())
     except discord.errors.Forbidden as perm_error:
         logger.error(f"Permission error while syncing commands: {perm_error}") 
@@ -147,7 +134,6 @@ async def on_ready() -> None:
     }.get(status.lower(), discord.Status.online)
     await bot.change_presence(status=status, activity=discord.Activity(type=discord.ActivityType.listening, name=f"{song}"))
     launched = True
-
 @bot.event
 async def on_command_error(ctx: commands.Context, error: commands.CommandError) -> None:
     from modules.unhandledexception import handle_exception
@@ -231,6 +217,12 @@ async def talk(ctx: commands.Context, sentence_size: int = 5) -> None:
     else:
         await send_message(ctx, f"{(_('command_talk_generation_fail'))}")
 
+@bot.hybrid_command(description=f"RAM")
+async def ramusage(ctx):
+    process = psutil.Process(os.getpid())
+    mem = process.memory_info().rss
+    await send_message(ctx, f"Total memory used: {mem / 1024 / 1024:.2f} MB")
+
 # Command: Generate an image
 @bot.hybrid_command(description=f"{(_('command_desc_help'))}")
 async def impact(ctx: commands.Context, text: Optional[str] = None) -> None:
@@ -386,14 +378,11 @@ async def on_message(message: discord.Message) -> None:
         await bot.process_commands(message)
         return
 
-    if profanity.contains_profanity(message.content):
-        return
-
     if message.content:
         if not USERTRAIN_ENABLED:
             return
-        formatted_message: str = append_mentions_to_18digit_integer(message.content)
+        formatted_message: str = message.content
-        cleaned_message: str = preprocess_message(formatted_message)
+        cleaned_message: str = formatted_message
         if cleaned_message:
             memory.append(cleaned_message)
             message_metadata = {
@@ -428,10 +417,14 @@ async def on_message(message: discord.Message) -> None:
 
     await bot.process_commands(message)
 
-# Event: Called on every interaction (slash command, etc.)
 @bot.event
 async def on_interaction(interaction: discord.Interaction) -> None:
-    logger.info(f"{(_('command_ran_s')).format(interaction=interaction)}{interaction.data['name']}")
+    name = None
+    if interaction.data.get('name') is None:
+        name = "Unknown"
+    else:
+        name = interaction.data['name']
+    logger.info(f"{(_('command_ran_s')).format(interaction=interaction)}{name}")
 
 # Global check: Block blacklisted users from running commands
 @bot.check
@@ -468,6 +461,17 @@ async def ping(ctx: commands.Context) -> None:
 
     await ctx.send(embed=LOLembed)
 
+def get_git_remote_url():
+    try:
+        url = subprocess.check_output(
+            ["git", "config", "--get", "remote.origin.url"],
+            text=True,
+            stderr=subprocess.DEVNULL,
+        ).strip()
+        return url
+    except subprocess.CalledProcessError:
+        return "Unknown"
+
 # Command: Show about information
 @bot.hybrid_command(description=f"{(_('command_about_desc'))}")
 async def about(ctx: commands.Context) -> None:
@@ -477,7 +481,8 @@ async def about(ctx: commands.Context) -> None:
     embed: discord.Embed = discord.Embed(title=f"{(_('command_about_embed_title'))}", description="", color=Colour(0x000000))
     embed.add_field(name=f"{(_('command_about_embed_field1'))}", value=f"{NAME}", inline=False)
     embed.add_field(name=f"{(_('command_about_embed_field2name'))}", value=f"{(_('command_about_embed_field2value')).format(local_version=local_version, latest_version=latest_version)}", inline=False)
-    embed.add_field(name=f"Github", value=f"https://github.com/gooberinc/goober")
+    embed.add_field(name=f"Git", value=get_git_remote_url())
+    embed.add_field(name=f"OS", value=platform.platform())
     
     await send_message(ctx, embed=embed)
 
@@ -499,7 +504,8 @@ async def stats(ctx: commands.Context) -> None:
     embed.add_field(name=f"{(_('command_stats_embed_field1name'))}", value=f"{(_('command_stats_embed_field1value')).format(file_size=file_size, line_count=line_count)}", inline=False)
     embed.add_field(name=f"{(_('command_stats_embed_field2name'))}", value=f"{(_('command_stats_embed_field2value')).format(local_version=local_version, latest_version=latest_version)}", inline=False)
     embed.add_field(name=f"{(_('command_stats_embed_field3name'))}", value=f"{(_('command_stats_embed_field3value')).format(NAME=NAME, PREFIX=PREFIX, ownerid=ownerid, PING_LINE=PING_LINE, showmemenabled=showmemenabled, USERTRAIN_ENABLED=USERTRAIN_ENABLED, song=song, splashtext=splashtext)}", inline=False)
-
+    embed.add_field(name=f"OS", value=platform.platform())
+    embed.add_field(name="Python Version", value=platform.python_version())
     await send_message(ctx, embed=embed)
 
 # Command: Upload memory.json to litterbox.catbox.moe and return the link

botminimal.py

@@ -0,0 +1,245 @@
+import discord
+from discord.ext import commands, tasks
+import json
+import markovify
+import nltk
+from nltk.tokenize import word_tokenize
+import random
+import os
+import time
+import re
+from dotenv import load_dotenv
+load_dotenv()
+# download NLTK data files
+nltk.download('punkt')
+MEMORY_FILE = "memory.json"
+MEMORY_LOADED_FILE = "MEMORY_LOADED"  
+
+def load_memory():
+    data = []
+
+    # Try to load data from MEMORY_FILE
+    try:
+        with open(MEMORY_FILE, "r") as f:
+            data = json.load(f)
+    except FileNotFoundError:
+        pass
+
+    return data
+
+# Save memory data to MEMORY_FILE
+def save_memory(memory):
+    with open(MEMORY_FILE, "w") as f:
+        json.dump(memory, f, indent=4)
+
+def train_markov_model(memory, additional_data=None):
+    if not memory:
+        return None
+    filtered_memory = [line for line in memory if isinstance(line, str)]
+    if additional_data:
+        filtered_memory.extend(line for line in additional_data if isinstance(line, str))
+    if not filtered_memory:
+        return None
+    text = "\n".join(filtered_memory)
+    model = markovify.NewlineText(text, state_size=2)
+    return model
+
+#this doesnt work and im extremely pissed and mad
+def append_mentions_to_18digit_integer(message):
+    pattern = r'\b\d{18}\b'
+    return re.sub(pattern, lambda match: f"<@{match.group(0)}>", message)
+
+def preprocess_message(message):
+    message = append_mentions_to_18digit_integer(message)
+    tokens = word_tokenize(message)
+    tokens = [token for token in tokens if token.isalnum()]
+    return " ".join(tokens)
+
+
+intents = discord.Intents.default()
+intents.messages = True
+intents.message_content = True
+bot = commands.Bot(command_prefix="g!", intents=intents)
+memory = load_memory() 
+markov_model = train_markov_model(memory)
+
+generated_sentences = set()
+used_words = set()
+
+@bot.event
+async def on_ready():
+    print(f"Logged in as {bot.user}")
+    post_message.start()
+
+positive_keywords = ["happy", "good", "great", "amazing", "awesome", "joy", "love", "fantastic", "positive", "cheerful", "victory", "favorite", "lmao", "lol", "xd", "XD", "xD", "Xd"]
+
+positive_gifs = [
+    "https://tenor.com/view/chill-guy-my-new-character-gif-2777893510283028272",
+    "https://tenor.com/view/goodnight-goodnight-friends-weezer-weezer-goodnight-gif-7322052181075806988"
+]
+
+def is_positive(sentence):
+    sentence_lower = sentence.lower()
+    return any(keyword in sentence_lower for keyword in positive_keywords)
+
+@bot.command()
+async def ask(ctx):
+    await ctx.send("Command undergoing fixes!")
+    #not really lol
+
+@bot.command()
+async def talk(ctx):
+    if markov_model:
+        response = None
+        for _ in range(10):  # im going to shit my pants 10 times to get a coherent sentence
+            response = markov_model.make_sentence(tries=100)
+            if response and response not in generated_sentences:
+                # preprocess shit for grammer
+                response = improve_sentence_coherence(response)
+                generated_sentences.add(response)
+                break
+        
+        if response:
+            async with ctx.typing():            
+                cleaned_response = re.sub(r'[^\w\s]', '', response)  
+                cleaned_response = cleaned_response.lower() 
+                coherent_response = rephrase_for_coherence(cleaned_response)
+                if random.random() < 0.9:
+                    if is_positive(coherent_response):
+                        gif_url = random.choice(positive_gifs)  
+                        combined_message = f"{coherent_response}\n[jif]({gif_url})"  
+                        await ctx.send(combined_message)
+                    else:
+                        await ctx.send(coherent_response)
+                else:
+                    await ctx.send(coherent_response)
+        else:
+            await ctx.send("I have nothing to say right now!")
+    else:
+        await ctx.send("I need to learn more from messages before I can talk.")
+
+def improve_sentence_coherence(sentence):
+
+    sentence = sentence.replace(" i ", " I ")  
+    return sentence
+
+def rephrase_for_coherence(sentence):
+
+    words = sentence.split()
+
+    coherent_sentence = " ".join(words)
+    return coherent_sentence
+
+bot.help_command = None
+
+
+@bot.command()
+async def help(ctx, *args):
+
+    if args:
+        command_name = args[0]
+        command = bot.get_command(command_name)
+        
+        if command:
+            embed = discord.Embed(
+                title=f"Help: g!{command_name}",
+                description=f"**Description:** {command.help}",
+                color=discord.Color.blue()
+            )
+            await ctx.send(embed=embed)
+        else:
+            await ctx.send(f"Command `{command_name}` not found.")
+    else:
+
+        embed = discord.Embed(
+            title="Bot Help",
+            description="List of commands grouped by category.",
+            color=discord.Color.blue()
+        )
+
+        command_categories = {
+            "General": ["show_memory", "talk", "ask", "ping"],
+            "Debug": ["word_usage"]
+        }
+
+        for category, commands_list in command_categories.items():
+            commands_in_category = "\n".join([f"g!{command}" for command in commands_list])
+            embed.add_field(name=category, value=commands_in_category, inline=False)
+
+        await ctx.send(embed=embed)
+
+@bot.event
+async def on_message(message):
+    global memory, markov_model, last_random_talk_time
+
+    if message.author.bot:
+        return
+
+
+    if message.content.startswith(("g!talk", "g!show_memory", "g!help", "g!")):
+        await bot.process_commands(message)
+        return
+
+    if message.content:
+        formatted_message = append_mentions_to_18digit_integer(message.content)
+        cleaned_message = preprocess_message(formatted_message)
+        if cleaned_message:
+            memory.append(cleaned_message)
+            save_memory(memory)
+            markov_model = train_markov_model(memory)
+
+    # process any commands in the message
+    await bot.process_commands(message)
+
+@bot.command()
+async def ping(ctx):
+    await ctx.defer()
+    #stolen from my expect bot very proud
+    latency = round(bot.latency * 1000)
+
+    LOLembed = discord.Embed(
+        title="Pong!!",
+        description=(
+            f"The Beretta fires fast and won't make you feel any better!\n"
+            f"`Bot Latency: {latency}ms`\n"
+        ),
+        color=discord.Color.blue()
+    )
+    LOLembed.set_footer(text=f"Requested by {ctx.author.name}", icon_url=ctx.author.avatar.url)
+
+    await ctx.send(embed=LOLembed)  # use ctx.send instead of respond because it has nothing to respond to and its not a slash command
+
+@bot.command()
+async def show_memory(ctx):
+    memory = load_memory()
+    memory_text = json.dumps(memory, indent=4)
+    if len(memory_text) > 1024:
+        with open(MEMORY_FILE, "r") as f:
+            await ctx.send(" ", file=discord.File(f, MEMORY_FILE))
+    else:
+        embed = discord.Embed(title="Memory Contents", description="The bot's memory.", color=discord.Color.blue())
+        embed.add_field(name="Memory Data", value=f"```json\n{memory_text}\n```", inline=False)
+        await ctx.send(embed=embed)
+
+def improve_sentence_coherence(sentence):
+    sentence = sentence.replace(" i ", " I ")
+    return sentence
+
+@tasks.loop(minutes=60)
+async def post_message():
+    channel_id = 1296141985253691433
+    channel = bot.get_channel(channel_id)
+    if channel and markov_model:
+        response = None
+        for _ in range(10): 
+            response = markov_model.make_sentence(tries=100)
+            if response and response not in generated_sentences:
+                generated_sentences.add(response)
+                break
+
+        if response:
+            await channel.send(response)
+
+# run the bot
+TOKEN = os.getenv("DISCORDBOTTOKEN", "0")
+bot.run(TOKEN)

modules/globalvars.py

@@ -2,6 +2,12 @@ import os
 import platform
 from dotenv import load_dotenv
 import pathlib
+import discord
+from discord.ext import commands
+from discord import app_commands
+from discord import Colour, Embed, File, Interaction, Message
+from discord.abc import Messageable
+from discord.ext import commands
 import subprocess
 def get_git_branch():
     try:
@@ -15,7 +21,6 @@ def get_git_branch():
 
 env_path = pathlib.Path(__file__).parent.parent / '.env'
 load_dotenv(dotenv_path=env_path)
-
 ANSI = "\033["
 RED = f"{ANSI}31m"
 GREEN = f"{ANSI}32m"
@@ -48,7 +53,7 @@ song = os.getenv("SONG")
 arch = platform.machine()
 launched = False
 latest_version = "0.0.0"
-local_version = "2.3.4"
+local_version = "2.3.5"
 os.environ['gooberlocal_version'] = local_version
 REACT = os.getenv("REACT")
 if get_git_branch() == "dev":
@@ -56,3 +61,12 @@ if get_git_branch() == "dev":
  # this makes goober think its a beta version, so it will not update to the latest stable version or run any version checks
 else:
     beta = False
+
+
+# Set up Discord bot intents and create bot instance
+intents: discord.Intents = discord.Intents.default()
+intents.messages = True
+intents.presences = True
+intents.members = True
+intents.message_content = True
+bot: commands.Bot = commands.Bot(command_prefix=PREFIX, intents=intents, allowed_mentions=discord.AllowedMentions(everyone=False, roles=False, users=False, replied_user=True))

modules/logger.py

@@ -1,4 +1,5 @@
 import logging
+import re
 from modules.globalvars import *
 
 class GooberFormatter(logging.Formatter):
@@ -16,10 +17,14 @@ class GooberFormatter(logging.Formatter):
         }
 
     def format(self, record: logging.LogRecord):
+        ansiescape = re.compile(r'\x1B[@-_][0-?]*[ -/]*[@-~]')
         if self.colors:
             log_fmt = self.FORMATS.get(record.levelno) # Add colors
         else:
             log_fmt = self._format # Just use the default format
             
         formatter = logging.Formatter(log_fmt, datefmt="%m/%d/%y %H:%M:%S")
-        return formatter.format(record)
+        formatted = formatter.format(record)
+        if not self.colors:
+            formatted = ansiescape.sub('', formatted)
+        return formatted

modules/minigames.py

@@ -0,0 +1,71 @@
+import random
+import discord
+from discord import ui, Interaction, TextStyle
+from discord.ext import commands
+import aiohttp
+import asyncio
+from modules.globalvars import bot
+from modules.volta.main import _
+
+# @bot.hybrid_command(description=_('minigames_guess_the_number'))
+async def guessthenumber(ctx: commands.Context):
+    number = random.randint(1, 10)
+    class GuessModal(ui.Modal, title=_('minigames_guess_the_number')):
+        guess = ui.TextInput(label=_('minigames_your_guess'), style=TextStyle.short)
+        async def on_submit(self, interaction: Interaction):
+            try:
+                user_guess = int(self.guess.value)
+            except:
+                await interaction.response.send_message(_('minigames_invalid_number'), ephemeral=True)
+                return
+            if user_guess == number:
+                await interaction.response.send_message(_('minigames_correct'), ephemeral=True)
+            else:
+                await interaction.response.send_message(f"{_('minigames_wrong_number')} {number}.", ephemeral=True)
+    async def button_callback(interaction: Interaction):
+        await interaction.response.send_modal(GuessModal())
+    button = ui.Button(label=_('minigames_guess_button'), style=discord.ButtonStyle.primary)
+    button.callback = button_callback
+    view = ui.View()
+    view.add_item(button)
+    await ctx.send(_('minigames_click_to_guess'), view=view)
+
+# @bot.hybrid_command(description=_('minigames_hangman')) nope nope nope fuck no nope no thanks no nuh uh not today nope 
+async def hangman(ctx: commands.Context):
+    async with aiohttp.ClientSession() as session:
+        async with session.get("https://random-word-api.herokuapp.com/word?number=1") as resp:
+            if resp.status != 200:
+                await ctx.send("Failed to get a random word.")
+                return
+            data = await resp.json()
+            word = data[0].lower()
+            print(word)
+    guessed_letters = set()
+    wrong_guesses = 0
+    max_wrong = 6
+    def display_word():
+        return " ".join([c if c in guessed_letters else "_" for c in word])
+    class GuessModal(ui.Modal, title=_('minigames_hangman_guess')):
+        letter = ui.TextInput(label=_('minigames_hangman_user_letter_guess'), style=TextStyle.short, max_length=1)
+        async def on_submit(self, interaction: Interaction):
+            nonlocal guessed_letters, wrong_guesses
+            guess = self.letter.value.lower()
+            if guess in guessed_letters:
+                await interaction.response.send_message(f"{_('minigames_hangman_already_guessed')}'{guess}'!", ephemeral=True)
+                return
+            guessed_letters.add(guess)
+            if guess not in word:
+                wrong_guesses += 1
+            if all(c in guessed_letters for c in word):
+                await interaction.response.edit_message(content=f"{_('minigames_hangman_won')} **{word}**", view=None)
+            elif wrong_guesses >= max_wrong:
+                await interaction.response.edit_message(content=f"{_('minigames_hangman_lost')} **{word}**", view=None)
+            else:
+                await interaction.response.edit_message(content=_('minigames_hangman_game').format(display_word=display_word(),wrong_guesses=wrong_guesses,max_wrong=max_wrong), view=view)
+    async def button_callback(interaction: Interaction):
+        await interaction.response.send_modal(GuessModal())
+    button = ui.Button(label=_('minigames_click_to_guess'), style=discord.ButtonStyle.primary)
+    button.callback = button_callback
+    view = ui.View()
+    view.add_item(button)
+    await ctx.send(_('minigames_hangman_game').format(display_word=display_word,wrong_guesses=wrong_guesses,max_wrong=max_wrong), view=view)

modules/sentenceprocessing.py

@@ -61,20 +61,15 @@ async def send_message(ctx, message=None, embed=None, file=None, edit=False, mes
                 sent_message = await ctx.send(file=file)
         return sent_message
 
-def append_mentions_to_18digit_integer(message):
-    pattern = r'\b\d{18}\b'
-    return re.sub(pattern, lambda match: "", message)
-
 def preprocess_message(message):
-    message = append_mentions_to_18digit_integer(message)
+    message = message
     doc = nlp(message)
     tokens = [token.text for token in doc if token.is_alpha or token.is_digit]
     return " ".join(tokens)
 
 def improve_sentence_coherence(sentence):
-    return re.sub(r'\bi\b', 'I', sentence)
+    return ""
 
 def rephrase_for_coherence(sentence):
-    words = sentence.split()
+    coherent_sentence = sentence
-    coherent_sentence = " ".join(words)
     return coherent_sentence

modules/volta/main.py

@@ -7,8 +7,11 @@ import locale
 import json
 import pathlib
 import threading
+import platform
+import sys
 import time
 from dotenv import load_dotenv
+from functools import lru_cache
 
 ANSI = "\033["
 RED = f"{ANSI}31m"
@@ -61,10 +64,6 @@ if working_dir != module_dir:
 translations = {}
 _file_mod_times = {}
 
-import locale
-import platform
-import os
-import sys
 
 def get_system_locale():
     system = platform.system() # fallback incase locale isnt set
@@ -119,6 +118,7 @@ def reload_if_changed():
                 current_mtime = file_path.stat().st_mtime
                 if current_mtime != last_mtime:
                     print(f"[VOLTA] {RED}Translation file changed: {file_path}, reloading...{RESET}")
+                    _lookup_translation.cache_clear()
                     load_translations()
                     break
             except FileNotFoundError:
@@ -140,9 +140,10 @@ def set_language(lang: str):
         else:
             print(f"[VOLTA] {RED}The fallback translations cannot be found! No fallback available.{RESET}")
             ENGLISH_MISSING = True
+    _lookup_translation.cache_clear()
 
-def check_missing_translations():
+def check_missing_translations(LOCALE=LOCALE):
-    global LOCALE, ENGLISH_MISSING
+    global ENGLISH_MISSING
     load_translations()
     if FALLBACK_LOCALE not in translations:
         print(f"[VOLTA] {RED}Fallback translations ({FALLBACK_LOCALE}.json) missing from assets/locales.{RESET}")
@@ -175,24 +176,31 @@ def check_missing_translations():
 
 printedsystemfallback = False
 
+@lru_cache(maxsize=600)
+def _lookup_translation(lang: str, key: str):
+    return translations.get(lang, {}).get(key)
+
 def get_translation(lang: str, key: str):
     global printedsystemfallback
     if ENGLISH_MISSING:
         return f"[VOLTA] {RED}No fallback available!{RESET}"
-    fallback_translations = translations.get(FALLBACK_LOCALE, {})
+
+    val = _lookup_translation(lang, key)
+    if val:
+        return val
     sys_lang = get_system_locale().split("_")[0] if get_system_locale() else None
-    sys_translations = translations.get(sys_lang, {}) if sys_lang else {}
+    if sys_lang and sys_lang != lang:
-    lang_translations = translations.get(lang, {})
+        sys_val = _lookup_translation(sys_lang, key)
-    if key in lang_translations:
+        if sys_val:
-        return lang_translations[key]
-    if sys_lang and sys_lang != lang and key in sys_translations:
             if not printedsystemfallback:
                 print(f"[VOLTA] {YELLOW}Falling back to system language {sys_lang}!{RESET}")
                 printedsystemfallback = True
-        return sys_translations[key]
+            return sys_val
-    if key in fallback_translations:
+    fallback_val = _lookup_translation(FALLBACK_LOCALE, key)
+    if fallback_val:
         print(f"[VOLTA] {YELLOW}Missing key: '{key}' in '{lang}', falling back to fallback locale '{FALLBACK_LOCALE}'{RESET}")
-        return fallback_translations[key]
+        return fallback_val
+
     return f"[VOLTA] {YELLOW}Missing key: '{key}' in all locales!{RESET}"
     
 def _(key: str) -> str:
@@ -204,4 +212,9 @@ watchdog_thread = threading.Thread(target=reload_if_changed, daemon=True)
 watchdog_thread.start()
 
 if __name__ == '__main__':
-    print("Volta should not be run directly! Please use it as a module..")
+    import argparse
+    parser = argparse.ArgumentParser()
+    parser.add_argument("LOCALE", help="Locale to validate")
+    args = parser.parse_args()
+    print("[VOLTA] Validating all locales....")
+    check_missing_translations(LOCALE=f"{args.LOCALE}")

requirements.txt

@@ -4,7 +4,6 @@ spacy
 spacytextblob
 requests
 psutil
-better_profanity
 python-dotenv
 dotenv
 pillow