-
- RAM:
- {stats['ram_usage']}
-
-
- CPU:
- {stats['system_cpu']}
-
-
- Latency:
- {stats['latency']}
-
-
- JSON Size:
- {stats['memory_json_size']}
-
-
- Uptime:
- {stats['bot_uptime']}
-
-
-
-
-
-
Last Command
-
{stats['last_command']}
-
at {stats['last_command_time']}
-
-
Logged into goober central
-
{stats['authenticated']}
-
-
Last generated message
-
{stats['lastmsg']}
-
-
Version
-
Installed Version: {stats['localversion']}
-
Latest Version: {stats['latestversion']}
-
-
goober-central URL
-
{VERSION_URL}
-
-
Change song
-
-
-
-
-
Servers ({stats['guild_count']})
-
- {guild_list_html}
-
-
-
Blacklisted Users ({stats['bl_count']})
-
- {blacklisted_users_html if stats['blacklisted_users'] else "
No blacklisted users
"}
-
-
-
-
-
-
- """
-
- return web.Response(text=html_content, content_type='text/html')
-
- async def handle_stats(self, request):
- return await self.handle_index(request)
-
- async def handle_json_data(self, request):
- stats = await self.get_bot_stats()
- return web.json_response(stats)
-
-async def setup(bot):
- await bot.add_cog(GooberWeb(bot))
diff --git a/assets/cogs/whoami.py b/assets/cogs/whoami.py
deleted file mode 100644
index a60633f..0000000
--- a/assets/cogs/whoami.py
+++ /dev/null
@@ -1,24 +0,0 @@
-import discord
-from discord.ext import commands
-
-class whoami(commands.Cog):
- def __init__(self, bot):
- self.bot = bot
-
- @commands.command()
- async def whoami(self, ctx):
- user_id = ctx.author.id
- username = ctx.author.name
-
- embed = discord.Embed(
- title="User Information",
- description=f"Your User ID is: {user_id}\n"
- f"Your username is: {username}\n"
- f"Your nickname in this server is: <@{user_id}>",
- color=discord.Color.blue()
- )
-
- await ctx.send(embed=embed)
-
-async def setup(bot):
- await bot.add_cog(whoami(bot))
diff --git a/assets/fonts/Impact.ttf b/assets/fonts/Impact.ttf
deleted file mode 100644
index 7b7956f..0000000
Binary files a/assets/fonts/Impact.ttf and /dev/null differ
diff --git a/assets/fonts/TNR.ttf b/assets/fonts/TNR.ttf
deleted file mode 100644
index 51261a0..0000000
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diff --git a/assets/images/attention.webp b/assets/images/attention.webp
deleted file mode 100644
index f680665..0000000
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diff --git a/assets/images/bibinos.png b/assets/images/bibinos.png
deleted file mode 100644
index 5a7b846..0000000
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diff --git a/assets/images/crash.webp b/assets/images/crash.webp
deleted file mode 100644
index 60d918b..0000000
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diff --git a/assets/images/crash2.png b/assets/images/crash2.png
deleted file mode 100644
index 12f7616..0000000
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diff --git a/assets/images/genuineidiot.png b/assets/images/genuineidiot.png
deleted file mode 100644
index 226ca47..0000000
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diff --git a/assets/images/smashedphone.webp b/assets/images/smashedphone.webp
deleted file mode 100644
index 845070f..0000000
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diff --git a/assets/images/thisisfine.png b/assets/images/thisisfine.png
deleted file mode 100644
index 41977dc..0000000
Binary files a/assets/images/thisisfine.png and /dev/null differ
diff --git a/assets/locales/README.md b/assets/locales/README.md
deleted file mode 100644
index 5fd0e77..0000000
--- a/assets/locales/README.md
+++ /dev/null
@@ -1,8 +0,0 @@
-# Locales Directory
-
-This folder contains localization files for the project.
-
-**Notice:**
-The Spanish and French locales currently do not have maintainers. If you are interested in helping maintain or improve these translations, please consider contributing!
-
-Thank you for supporting localization efforts!
\ No newline at end of file
diff --git a/assets/locales/empty.json b/assets/locales/empty.json
deleted file mode 100644
index 544b7b4..0000000
--- a/assets/locales/empty.json
+++ /dev/null
@@ -1,3 +0,0 @@
-{
-
-}
\ No newline at end of file
diff --git a/assets/locales/en.json b/assets/locales/en.json
deleted file mode 100644
index 61f4778..0000000
--- a/assets/locales/en.json
+++ /dev/null
@@ -1,136 +0,0 @@
-{
- "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.",
- "checks_disabled": "Checks are disabled!",
- "unhandled_exception": "An unhandled exception occurred. Please report this issue on GitHub.",
- "active_users:": "Active users:",
- "spacy_initialized": "spaCy and spacytextblob are ready.",
- "spacy_model_not_found": "The spaCy model was not found! Downloading it....`",
- "env_file_not_found": "The .env file was not found! Please create one with the required variables.",
- "error_fetching_active_users": "Error fetching active users: {error}",
- "error_sending_alive_ping": "Error sending alive ping: {error}",
- "already_started": "I've already started! I'm not updating...",
- "please_restart": "Please Restart goober!",
- "local_ahead": "Local {remote}/{branch} is ahead and/or up to par. Not Updating...",
- "remote_ahead": "Remote {remote}/{branch} is ahead. Updating...",
- "cant_find_local_version": "I can't find the local_version variable! Or it's been tampered with and it's not an integer!",
- "running_prestart_checks": "Running pre-start checks...",
- "continuing_in_seconds": "Continuing in {seconds} seconds... Press any key to skip.",
- "missing_requests_psutil": "Missing requests and psutil! Please install them using pip: `pip install requests psutil`",
- "requirements_not_found": "requirements.txt not found at {path} was it tampered with?",
- "warning_failed_parse_imports": "Warning: Failed to parse imports from {filename}: {error}",
- "cogs_dir_not_found": "Cogs directory not found at {path}, skipping scan.",
- "std_lib_local_skipped": "STD LIB / LOCAL {package} (skipped check)",
- "ok_installed": "OK",
- "missing_package": "MISSING",
- "missing_package2": "is not installed",
- "missing_packages_detected": "Missing packages detected:",
- "telling_goober_central": "Telling goober central at {url}",
- "failed_to_contact": "Failed to contact {url}: {error}",
- "all_requirements_satisfied": "All requirements are satisfied.",
- "ping_to": "Ping to {host}: {latency} ms",
- "high_latency": "High latency detected! You may experience delays in response times.",
- "could_not_parse_latency": "Could not parse latency.",
- "ping_failed": "Ping to {host} failed.",
- "error_running_ping": "Error running ping: {error}",
- "memory_usage": "Memory Usage: {used} GB / {total} GB ({percent}%)",
- "memory_above_90": "Memory usage is above 90% ({percent}%). Consider freeing up memory.",
- "total_memory": "Total Memory: {total} GB",
- "used_memory": "Used Memory: {used} GB",
- "low_free_memory": "Low free memory detected! Only {free} GB available.",
- "measuring_cpu": "Measuring CPU usage per core...",
- "core_usage": "Core {idx}: [{bar}] {usage}%",
- "total_cpu_usage": "Total CPU Usage: {usage}%",
- "high_avg_cpu": "High average CPU usage: {usage}%",
- "really_high_cpu": "Really high CPU load! System may throttle or hang.",
- "memory_file": "Memory file: {size} MB",
- "memory_file_large": "Memory file is 1GB or higher, consider clearing it to free up space.",
- "memory_file_corrupted": "Memory file is corrupted! JSON decode error: {error}",
- "consider_backup_memory": "Consider backing up and recreating the memory file.",
- "memory_file_encoding": "Memory file has encoding issues: {error}",
- "error_reading_memory": "Error reading memory file: {error}",
- "memory_file_not_found": "Memory file not found.",
- "modification_warning": "Goober has been modified! Any changes will be lost in an update!",
- "reported_version": "Reported Version:",
- "current_hash": "Current Hash:",
- "not_found": "is not found!",
- "version_error": "Unable to fetch version info. Status code",
- "loaded_cog": "Loaded cog:",
- "loaded_cog2": "Loaded module:",
- "cog_fail": "Failed to load cog:",
- "cog_fail2": "Failed to load module:",
- "no_model": "No saved Markov model found. Starting from scratch.",
- "folder_created": "Folder '{folder_name}' created.",
- "folder_exists": "Folder '{folder_name}' already exists. skipping...",
- "logged_in": "Logged in as",
- "synced_commands": "Synced",
- "synced_commands2": "commands!",
- "fail_commands_sync": "Failed to sync commands:",
- "started": "{name} has started!\nYou're the star of the show now baby!",
- "name_check": "Error checking name availability:",
- "name_taken": "Name is already taken. Please choose a different name.",
- "name_check2": "Error during name availability check:",
- "add_token": "Token: {token}\nPlease add this token to your .env file as",
- "token_exists": "Token already exists in .env. Continuing with the existing token.",
- "registration_error": "Error during registration:",
- "version_backup": "Backup created:",
- "backup_error": "Error: {LOCAL_VERSION_FILE} not found for backup.",
- "model_loaded": "Markov model loaded from",
- "fetch_update_fail": "Could not fetch update information.",
- "invalid_server": "Error: Invalid version information received from server.",
- "goober_server_alert": "Alert from goober central!\n",
- "new_version": "New version available: {latest_version} (Current: {local_version})",
- "changelog": "Check {VERSION_URL}/goob/changes.txt to check out the changelog\n\n",
- "invalid_version": "The version: {local_version} isnt valid!",
- "invalid_version2": "If this is intended then ignore this message, else press Y to pull a valid version from the server regardless of the version of goober currently running",
- "invalid_version3": "The current version will be backed up to current_version.bak..",
- "input": "(Y or any other key to ignore....)",
- "modification_ignored": "You've modified",
- "modification_ignored2": "IGNOREWARNING is set to false..",
- "latest_version": "You're using the latest version:",
- "latest_version2": "Check {VERSION_URL}/goob/changes.txt to check out the changelog",
- "pinging_disabled": "Pinging is disabled! Not telling the server im on...",
- "goober_ping_success": "Logged into goober central as {NAME}",
- "goober_ping_fail": "Failed to send data. Server returned status code:",
- "goober_ping_fail2": "An error occurred while sending data:",
- "sentence_positivity": "Positivity of sentence is:",
- "command_edit_fail": "Failed to edit message:",
- "command_desc_retrain": "Retrains the Markov model manually.",
- "command_markov_retrain": "Retraining the Markov model... Please wait.",
- "command_markov_memory_not_found": "Error: memory file not found!",
- "command_markov_memory_is_corrupt": "Error: memory file is corrupt!",
- "command_markov_retraining": "Processing {data_size} data points...",
- "command_markov_retrain_successful": "Markov model retrained successfully using {data_size} data points!",
- "command_desc_talk":"talks n like stuf",
- "command_talk_insufficent_text": "I need to learn more from messages before I can talk.",
- "command_talk_generation_fail": "I have nothing to say right now!",
- "command_desc_help": "help",
- "command_help_embed_title": "Bot Help",
- "command_help_embed_desc": "List of commands grouped by category.",
- "command_help_categories_general": "General",
- "command_help_categories_admin": "Administration",
- "command_help_categories_custom": "Custom Commands",
- "command_ran": "Info: {message.author.name} ran {message.content}",
- "command_ran_s": "Info: {interaction.user} ran ",
- "command_desc_ping": "ping",
- "command_desc_setlang": "Set a new language for the bot (temporarily)",
- "command_ping_embed_desc": "Bot Latency:",
- "command_ping_footer": "Requested by",
- "command_about_desc": "about",
- "command_about_embed_title": "About me",
- "command_about_embed_field1": "Name",
- "command_about_embed_field2name": "Version",
- "command_about_embed_field2value": "Local: {local_version} \nLatest: {latest_version}",
- "command_desc_stats": "stats",
- "command_stats_embed_title": "Bot stats",
- "command_stats_embed_desc": "Data about the the bot's memory.",
- "command_stats_embed_field1name": "File Stats",
- "command_stats_embed_field1value": "Size: {file_size} bytes\nLines: {line_count}",
- "command_stats_embed_field2name": "Version",
- "command_stats_embed_field2value": "Local: {local_version} \nLatest: {latest_version}",
- "command_stats_embed_field3name": "Variable Info",
- "command_stats_embed_field3value": "Name: {NAME} \nPrefix: {PREFIX} \nOwner ID: {ownerid}\nPing line: {PING_LINE} \nMemory Sharing Enabled: {showmemenabled} \nUser Training Enabled: {USERTRAIN_ENABLED}\nSong: {song} \nSplashtext: ```{splashtext}```"
-}
-
diff --git a/assets/locales/es.json b/assets/locales/es.json
deleted file mode 100644
index 4444a9c..0000000
--- a/assets/locales/es.json
+++ /dev/null
@@ -1,77 +0,0 @@
-{
- "modification_warning": "Goober ha sido modificado! Se omiten las comprobaciones del servidor por completo...",
- "reported_version": "Version reportada:",
- "current_hash": "Hash actual:",
- "not_found": "no existe!",
- "version_error": "No se puede obtener la informacion de la version. Codigo de estado",
- "loaded_cog": "Engranaje cog:",
- "cog_fail": "No se pudo cargar el cog:",
- "no_model": "No se encontro ningún modelo de Markov guardado. Empezando desde cero.",
- "folder_created": "Directorio '{folder_name}' creado.",
- "folder_exists": "El directorio '{folder_name}' ya existe. Se omite...",
- "logged_in": "Inicio sesion como",
- "synced_commands": "Sincronizado",
- "synced_commands2": "comandos!",
- "fail_commands_sync": "Error al sincronizar comandos:",
- "started": "{name} ha empezado!",
- "name_check": "Error al comprobar la disponibilidad del nombre:",
- "name_taken": "El nombre ya está en uso. Elija otro.",
- "name_check2": "Error durante la comprobacion de disponibilidad del nombre:",
- "add_token": "Token: {token}\nAgregue este token a su archivo .env como",
- "token_exists": "Hay un token en el archivo .env. Continue con el token existente.",
- "registration_error": "Error durante el registro:",
- "version_backup": "Copia de seguridad creada:",
- "backup_error": "Error: {LOCAL_VERSION_FILE} no encontrado para la copia de seguridad.",
- "model_loaded": "Modelo de Markov cargado desde",
- "fetch_update_fail": "No se pudo obtener la informacion de actualizacion.",
- "invalid_server": "Error: Se recibio informacion de version no valida del servidor.",
- "new_version": "Nueva version disponible: {latest_version} (Version actual: {local_version})",
- "changelog": "Consulte {VERSION_URL}/goob/changes.txt para ver el registro de cambios\n\n",
- "invalid_version": "La version: {local_version} no es valida!",
- "invalid_version2": "Si esto es lo que pretende, ignore este mensaje; si no, haga clic en Y en su teclado para descargar una version valida del servidor, independientemente de la version que se este ejecutando actualmente.",
- "invalid_version3": "La version actual se copiara a current_version.bak..",
- "input": "(Y o cualquier otra tecla para ignorar....)",
- "modification_ignored": "Has modificado",
- "modification_ignored2": "IGNOREWARNING es falso",
- "latest_version": "Usando la ultima version:",
- "latest_version2": "Consulte {VERSION_URL}/goob/changes.txt para ver el registro de cambios",
- "pinging_disabled": "El ping esta deshabilitado",
- "goober_ping_success": "Envie ping a Goober Central!",
- "goober_ping_fail": "Error al enviar datos. El servidor devolvio el codigo de estado:",
- "goober_ping_fail2": "Se produjo un error al enviar los datos:",
- "sentence_positivity": "La positividad de la sentencia es:",
- "command_edit_fail": "No se pudo editar el mensaje:",
- "command_desc_retrain": "Vuelve a entrenar el modelo de Markov manualmente.",
- "command_markov_retrain": "Reentrenando el modelo de Markov... Por favor espere",
- "command_markov_memory_not_found": "Error: no hay archivo de memoria!",
- "command_markov_memory_is_corrupt": "Error: el archivo de memoria esta danado!",
- "command_markov_retraining": "Procesando {processed_data}/{data_size} puntos de datos...",
- "command_markov_retrain_successful": "Modelo de Markov reentrenado exitosamente usando {data_size} puntos de datos!",
- "command_desc_talk":"hace que el bot hable",
- "command_talk_insufficent_text": "Necesito aprender más sobre los mensajes antes de hablar.",
- "command_talk_generation_fail": "No tengo nada que decir ahora!",
- "command_desc_help": "Ayuda",
- "command_help_embed_title": "Ayuda del bot",
- "command_help_embed_desc": "Lista de comandos agrupados por categoria",
- "command_help_categories_general": "General",
- "command_help_categories_admin": "Administracion",
- "command_help_categories_custom": "Comandos personalizados",
- "command_ran": "Informacion: {message.author.name} ejecuto {message.content}",
- "command_desc_ping": "ping",
- "command_ping_embed_desc": "Latencia del bot:",
- "command_ping_footer": "Solicitado por",
- "command_about_desc": "Acerca",
- "command_about_embed_title": "Acerca de mi",
- "command_about_embed_field1": "Nombre",
- "command_about_embed_field2name": "Version",
- "command_about_embed_field2value": "Version local: {local_version} \nUltima version: {latest_version}",
- "command_desc_stats": "Estadistica",
- "command_stats_embed_title": "Estadisticas de bot",
- "command_stats_embed_desc": "Datos sobre la memoria del bot",
- "command_stats_embed_field1name": "Estadisticas",
- "command_stats_embed_field1value": "Tamano: {file_size} bytes\nLineas: {line_count}",
- "command_stats_embed_field2name": "Version",
- "command_stats_embed_field2value": "Version local: {local_version} \nUltima version: {latest_version}",
- "command_stats_embed_field3name": "informacion sobre las variables",
- "command_stats_embed_field3value": "Nombre: {NAME} \nPrefijo: {PREFIX} \nID del propietario: {ownerid}\nLinea de ping: {PING_LINE} \nCompartir memoria habilitada: {showmemenabled} \nEntrenamiento de usuario habilitado: {USERTRAIN_ENABLED} \nCancion: {song} \nTexto de bienvenida: ```{splashtext}```"
-}
\ No newline at end of file
diff --git a/assets/locales/fi.json b/assets/locales/fi.json
deleted file mode 100644
index 93141cc..0000000
--- a/assets/locales/fi.json
+++ /dev/null
@@ -1,135 +0,0 @@
-{
- "memory_file_valid": "memory.json on toimiva!",
- "file_aint_uft8": "Tiedosto ei ole UTF-8 tekstiä. Saattaa olla binääriä tai korruptoitunut.",
- "active_users:": "Aktiiviset käyttäjät:",
- "cog_fail2": "Moduulin lataaminen epäonnistui:",
- "command_ran_s": "Info: {interaction.user} suoritti",
- "error_fetching_active_users": "Aktiivisten käyttäjien hankkimisessa tapahtui ongelma: {error}",
- "error_sending_alive_ping": "Pingin lähettäminen goober centraliin epäonnistui: {error}",
- "goober_server_alert": "Viesti goober centralista!\n",
- "loaded_cog2": "Ladattiin moduuli:",
- "spacy_initialized": "spaCy ja spacytextblob ovat valmiita.",
- "spacy_model_not_found": "spaCy mallia ei löytynyt! Ladataan se....`",
- "checks_disabled": "Tarkistukset on poistettu käytöstä!",
- "unhandled_exception": "Käsittelemätön virhe tapahtui. Ilmoita tästä GitHubissa.",
- "active_users": "Aktiiviset käyttäjät",
- "env_file_not_found": ".env-tiedostoa ei löytnyt! Luo tiedosto jossa on tarvittavat muuttujat",
- "already_started": "Olen jo käynnistynyt! Ei päivitetä...",
- "please_restart": "Käynnistä uudelleen, hölmö!",
- "local_ahead": "Paikallinen {remote}/{branch} on edellä ja/tai ajan tasalla. Ohitetaan päivitys...",
- "remote_ahead": "Etärepositorio {remote}/{branch} on edellä. Päivitetään...",
- "cant_find_local_version": "Muuttujaa local_version ei löytynyt, tai sitä on muokattu eikä ole kokonaisluku!",
- "running_prestart_checks": "Suoritetaan esikäynnistystarkistuksia...",
- "continuing_in_seconds": "Jatketaan {seconds} sekunnin kuluttua... Paina mitä tahansa näppäintä ohittaaksesi.",
- "missing_requests_psutil": "Kirjastot requests ja psutil puuttuvat! Asenna ne komennolla: `pip install requests psutil`",
- "requirements_not_found": "Tiedostoa requirements.txt ei löytynyt polusta {path} – onko sitä muokattu?",
- "warning_failed_parse_imports": "Varoitus: tuontien jäsentäminen epäonnistui tiedostossa {filename}: {error}",
- "cogs_dir_not_found": "Cogs-kansiota ei löytynyt polusta {path}, ohitetaan tarkistus.",
- "std_lib_local_skipped": "STD LIB / PAIKALLINEN {package} (tarkistus ohitettu)",
- "ok_installed": "OK",
- "missing_package": "PUUTTUU",
- "missing_package2": "ei ole asennettu",
- "missing_packages_detected": "Puuttuvia kirjastoja havaittu:",
- "telling_goober_central": "Ilmoitetaan goober-centralille osoitteessa {url}",
- "failed_to_contact": "Yhteyden muodostus epäonnistui osoitteeseen {url}: {error}",
- "all_requirements_satisfied": "Kaikki vaatimukset täyttyvät.",
- "ping_to": "Ping osoitteeseen {host}: {latency} ms",
- "high_latency": "Korkea viive havaittu! Vastaukset saattavat hidastua.",
- "could_not_parse_latency": "Viivettä ei voitu tulkita.",
- "ping_failed": "Ping osoitteeseen {host} epäonnistui.",
- "error_running_ping": "Virhe ping-komennon suorittamisessa: {error}",
- "memory_usage": "Muistin käyttö: {used} Gt / {total} Gt ({percent}%)",
- "memory_above_90": "Muistin käyttö ylittää 90 % ({percent}%). Harkitse muistin vapauttamista.",
- "total_memory": "Kokonaismuisti: {total} Gt",
- "used_memory": "Käytetty muisti: {used} Gt",
- "low_free_memory": "Vapaa muisti vähissä! Vain {free} Gt jäljellä.",
- "measuring_cpu": "Mitataan suorittimen käyttöä ytimittäin...",
- "core_usage": "Ydin {idx}: [{bar}] {usage}%",
- "total_cpu_usage": "Kokonaisprosessorin käyttö: {usage}%",
- "high_avg_cpu": "Korkea keskimääräinen prosessorin käyttö: {usage}%",
- "really_high_cpu": "Erittäin korkea prosessorikuorma! Järjestelmä saattaa hidastua tai jumittua.",
- "memory_file": "Muistitiedosto: {size} Mt",
- "memory_file_large": "Muistitiedosto on enemmän kuin 1 Gt – harkitse sen tyhjentämistä tilan vapauttamiseksi.",
- "memory_file_corrupted": "Muistitiedosto on vioittunut! JSON purkuvirhe: {error}",
- "consider_backup_memory": "Harkitse muistitiedoston varmuuskopioimista ja uudelleenluontia.",
- "memory_file_encoding": "Muistitiedostossa on koodausongelmia: {error}",
- "error_reading_memory": "Virhe muistitiedoston lukemisessa: {error}",
- "memory_file_not_found": "Muistitiedostoa ei löytynyt.",
-
- "modification_warning": "Gooberia on muokattu! Ohitetaan palvelimen tarkistus kokonaan...",
- "reported_version": "Ilmoitettu versio:",
- "current_hash": "Tämänhetkinen hash:",
- "not_found": "ei löytynyt!",
- "version_error": "Versiotietojen saanti epäonnistui.. Tilakoodi:",
- "loaded_cog": "Ladatut cogit:",
- "cog_fail": "Cogin lataus epäonnistui kohteelle:",
- "no_model": "Olemassaolevaa markov-mallia ei löydetty. Aloitetaan alusta.",
- "folder_created": "Kansio '{folder_name}' luotu.",
- "folder_exists": "Kansio '{folder_name}' on jo olemassa...",
- "logged_in": "Kirjauduttiin sisään käyttäjänä",
- "synced_commands": "Synkronoitiin",
- "synced_commands2": "komennot!",
- "fail_commands_sync": "Komentojen synkronointi epäonnistui:",
- "started": "{name} on käynnistynyt!\nOlet nyt sarjan tähti, beibi!",
- "name_check": "Nimen saatavuuden tarkistus epäonnistui:",
- "name_taken": "Nimi on jo käytössä. Valitse toinen nimi.",
- "name_check2": "Virhe tapahtui nimen saatavuuden tarkistamisessa:",
- "add_token": "Token: {token}\nLisää tämä .env-tiedostoosi nimellä",
- "token_exists": "Token on jo olemassa .env-tiedostossa. Jatketaan määritetyllä tokenilla.",
- "registration_error": "Virhe rekisteröinnissä:",
- "version_backup": "Varmuuskopio luotu:",
- "backup_error": "Virhe: {LOCAL_VERSION_FILE}-tiedostoa ei löytynyt varmuuskopiota varten.",
- "model_loaded": "Markov-malli ladattu",
- "fetch_update_fail": "Päivitystietojen hankkiminen epäonnistui.",
- "invalid_server": "Virhe: Palvelin antoi virheellisen versiotietoraportin.",
- "new_version": "Uusi versio saatavilla: {latest_version} (Tämänhetkinen: {local_version})",
- "changelog": "Mene osoitteeseen {VERSION_URL}/goob/changes.txt katsotakseen muutoslokin\n\n",
- "invalid_version": "Versio: {local_version} on virheellinen!",
- "invalid_version2": "Jos tämä on tahallista, voit jättää tämän viestin huomiotta. Jos tämä ei ole tahallista, paina Y-näppäintä hankkiaksesi kelvollisen version, riippumatta Gooberin tämänhetkisestä versiosta.",
- "invalid_version3": "Tämänhetkinen versio varmuuskopioidaan kohteeseen current_version.bak..",
- "input": "(Y:tä tai mitä vaan muuta näppäintä jättää tämän huomioimatta....)",
- "modification_ignored": "Olet muokannut",
- "modification_ignored2": "IGNOREWARNING on asetettu false:ksi..",
- "latest_version": "Käytät uusinta versiota:",
- "latest_version2": "Tarkista {VERSION_URL}/goob/changes.txt katsotakseen muutosloki",
- "pinging_disabled": "Pingaus on poistettu käytöstä! En kerro palvelimelle, että olen päällä...",
- "goober_ping_success": "Lähetettiin olemassaolo ping goober centraliin!",
- "goober_ping_fail": "Tiedon lähetys epäonnistui. Palvelin antoi tilakoodin:",
- "goober_ping_fail2": "Tiedon lähettämisen aikana tapahtui virhe:",
- "sentence_positivity": "Lauseen positiivisuus on:",
- "command_edit_fail": "Viestin muokkaus epäonnistui:",
- "command_desc_retrain": "Uudelleenkouluttaa markov-mallin manuaalisesti.",
- "command_markov_retrain": "Uudelleenkoulutetaan markov-mallia... Odota.",
- "command_markov_memory_not_found": "Virhe: muistitiedostoa ei löytynyt!",
- "command_markov_memory_is_corrupt": "Virhe: muistitiedosto on korruptoitu!",
- "command_markov_retraining": "Käsitellään {processed_data}/{data_size} datapisteestä...",
- "command_markov_retrain_successful": "Markov-malli koulutettiin uudestaan {data_size} datapisteellä!",
- "command_desc_talk":"puhuu ja sillei",
- "command_talk_insufficent_text": "Minun pitää oppia lisää viesteistä ennen kun puhun.",
- "command_talk_generation_fail": "Minulla ei ole mitään sanottavaa!",
- "command_desc_help": "auta",
- "command_help_embed_title": "Botin apu",
- "command_help_embed_desc": "Komennot ryhmitelty kategorioilla",
- "command_help_categories_general": "Yleiset",
- "command_help_categories_admin": "Ylläpito",
- "command_help_categories_custom": "Mukautetut komennot",
- "command_ran": "Tietoa: {message.author.name} suoritti {message.content}",
- "command_desc_ping": "ping",
- "command_ping_embed_desc": "Botin viive:",
- "command_ping_footer": "Pyytäjä: ",
- "command_about_desc": "tietoa",
- "command_about_embed_title": "Tietoa minusta",
- "command_about_embed_field1": "Nimi",
- "command_about_embed_field2name": "Versio",
- "command_about_embed_field2value": "Paikallinen: {local_version} \nUusin: {latest_version}",
- "command_desc_stats": "statistiikat",
- "command_stats_embed_title": "Botin statistiikat",
- "command_stats_embed_desc": "Tietoa botin muistista.",
- "command_stats_embed_field1name": "Tiedostostatistiikat",
- "command_stats_embed_field1value": "Koko: {file_size} tavua\nLinjoja: {line_count}",
- "command_stats_embed_field2name": "Versio",
- "command_stats_embed_field2value": "Paikallinen: {local_version} \nUusin: {latest_version}",
- "command_stats_embed_field3name": "Muuttajainformaatio",
- "command_stats_embed_field3value": "Nimi: {NAME} \nEtuliite: {PREFIX} \nOmistajan ID: {ownerid}\nPing-linja: {PING_LINE} \nMuistin jako päällä: {showmemenabled} \nOppiminen käyttäjistä: {USERTRAIN_ENABLED}\nLaulu: {song} \nRoisketeksti: ```{splashtext}```"
-}
-
diff --git a/assets/locales/fr.json b/assets/locales/fr.json
deleted file mode 100644
index 572d2f4..0000000
--- a/assets/locales/fr.json
+++ /dev/null
@@ -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": "Ã 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}```"
-}
\ No newline at end of file
diff --git a/assets/locales/it.json b/assets/locales/it.json
deleted file mode 100644
index 954b0ce..0000000
--- a/assets/locales/it.json
+++ /dev/null
@@ -1,137 +0,0 @@
-{
- "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.",
- "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:",
- "spacy_initialized": "spaCy e spacytextblob sono pronti.",
- "error_fetching_active_users": "Errore nel recupero degli utenti attivi: {error}",
- "spacy_model_not_found": "Il modello spaCy non è stato trovato! Lo sto scaricando...",
- "env_file_not_found": "Il file .env non è stato trovato! Crea un file con le variabili richieste.",
- "error fetching_active_users": "Errore nel recupero degli utenti attivi:",
- "error_sending_alive_ping": "Errore nell'invio di aliveping:",
- "already_started": "Sono già avviato! Non aggiorno...",
- "please_restart": "Riavvia goober!",
- "local_ahead": "Il ramo locale {remote}/{branch} è aggiornato o avanti. Nessun aggiornamento...",
- "remote_ahead": "Il ramo remoto {remote}/{branch} è avanti. Aggiornamento in corso...",
- "cant_find_local_version": "Impossibile trovare la variabile local_version! O è stata manomessa e non è un intero!",
- "running_prestart_checks": "Esecuzione dei controlli pre-avvio...",
- "continuing_in_seconds": "Continuo tra {seconds} secondi... Premi un tasto per saltare.",
- "missing_requests_psutil": "Mancano requests e psutil! Installali con pip: `pip install requests psutil`",
- "requirements_not_found": "requirements.txt non trovato in {path} è stato manomesso?",
- "warning_failed_parse_imports": "Attenzione: impossibile analizzare le importazioni da {filename}: {error}",
- "cogs_dir_not_found": "Cartella cogs non trovata in {path}, scansione saltata.",
- "std_lib_local_skipped": "LIB STD / LOCALE {package} (controllo saltato)",
- "ok_installed": "OK",
- "missing_package": "REQUISITO MANCANTE",
- "missing_package2": "non è installato",
- "missing_packages_detected": "Pacchetti mancanti rilevati:",
- "telling_goober_central": "Segnalazione a goober central su {url}",
- "failed_to_contact": "Impossibile contattare {url}: {error}",
- "all_requirements_satisfied": "Tutti i requisiti sono soddisfatti.",
- "ping_to": "Ping a {host}: {latency} ms",
- "high_latency": "Latenza elevata rilevata! Potresti riscontrare ritardi nelle risposte.",
- "could_not_parse_latency": "Impossibile analizzare la latenza.",
- "ping_failed": "Ping a {host} fallito.",
- "error_running_ping": "Errore durante l'esecuzione del ping: {error}",
- "memory_usage": "Utilizzo memoria: {used} GB / {total} GB ({percent}%)",
- "memory_above_90": "Utilizzo memoria sopra il 90% ({percent}%). Considera di liberare memoria.",
- "total_memory": "Memoria totale: {total} GB",
- "used_memory": "Memoria usata: {used} GB",
- "low_free_memory": "Poca memoria libera! Solo {free} GB disponibili.",
- "measuring_cpu": "Misurazione utilizzo CPU per core...",
- "core_usage": "Core {idx}: [{bar}] {usage}%",
- "total_cpu_usage": "Utilizzo totale CPU: {usage}%",
- "high_avg_cpu": "Utilizzo medio CPU elevato: {usage}%",
- "really_high_cpu": "Carico CPU molto alto! Il sistema potrebbe rallentare o bloccarsi.",
- "memory_file": "File memoria: {size} MB",
- "memory_file_large": "Il file di memoria è 1GB o più, valuta di svuotarlo.",
- "memory_file_corrupted": "File memoria corrotto! Errore JSON decode: {error}",
- "consider_backup_memory": "Valuta di fare un backup e ricreare il file di memoria.",
- "memory_file_encoding": "Problemi di codifica nel file memoria: {error}",
- "error_reading_memory": "Errore nella lettura del file memoria: {error}",
- "memory_file_not_found": "File memoria non trovato.",
- "modification_warning": "Goober è stato modificato! Verifiche del server saltate completamente...",
- "reported_version": "Versione segnalata:",
- "current_hash": "Hash attuale:",
- "not_found": "non trovato!",
- "version_error": "Impossibile recuperare le informazioni sulla versione. Codice di stato",
- "loaded_cog": "Cog caricato:",
- "cog_fail": "Impossibile caricare il cog:",
- "loaded_cog2": "Module caricato:",
- "cog_fail2": "Impossibile caricare il module:",
- "no_model": "Nessun modello Markov salvato trovato. Iniziamo da zero.",
- "folder_created": "Cartella '{folder_name}' creata.",
- "folder_exists": "La cartella '{folder_name}' esiste già . Saltando...",
- "logged_in": "Accesso effettuato come",
- "synced_commands": "Sincronizzati",
- "synced_commands2": "comandi!",
- "fail_commands_sync": "Impossibile sincronizzare i comandi:",
- "started": "{name} è stato avviato!\nIl palco è tuo!",
- "name_check": "Errore nel controllo disponibilità del nome:",
- "name_taken": "Il nome è già preso. Scegli un nome diverso.",
- "name_check2": "Errore durante il controllo della disponibilità del nome:",
- "add_token": "Token: {token}\nAggiungi questo token al tuo file .env come",
- "token_exists": "Il token esiste già in .env. Continuando con il token esistente.",
- "goober_server_alert": "Avviso da goober central!\n",
- "registration_error": "Errore durante la registrazione:",
- "version_backup": "Backup creato:",
- "backup_error": "Errore: {LOCAL_VERSION_FILE} non trovato per il backup.",
- "model_loaded": "Modello Markov caricato da",
- "fetch_update_fail": "Impossibile recuperare le informazioni sull'aggiornamento.",
- "invalid_server": "Errore: informazioni sulla versione non valide ricevute dal server.",
- "new_version": "Nuova versione disponibile: {latest_version} (Attuale: {local_version})",
- "changelog": "Controlla {VERSION_URL}/goob/changes.txt per vedere il changelog\n\n",
- "invalid_version": "La versione: {local_version} non è valida!",
- "invalid_version2": "Se è intenzionale ignora questo messaggio, altrimenti premi Y per scaricare una versione valida dal server indipendentemente dalla versione attuale di goober",
- "invalid_version3": "La versione attuale sarà salvata come current_version.bak..",
- "input": "(Y o qualsiasi altro tasto per ignorare....)",
- "modification_ignored": "Hai modificato",
- "modification_ignored2": "IGNOREWARNING è impostato su false..",
- "latest_version": "Stai utilizzando l'ultima versione:",
- "latest_version2": "Controlla {VERSION_URL}/goob/changes.txt per vedere il changelog",
- "pinging_disabled": "Il ping è disabilitato! Non dico al server che sono online...",
- "goober_ping_success": "Accesso a goober central come {NAME}",
- "goober_ping_fail": "Impossibile inviare i dati. Il server ha restituito il codice di stato:",
- "goober_ping_fail2": "Si è verificato un errore durante l'invio dei dati:",
- "sentence_positivity": "La positività della frase è:",
- "command_edit_fail": "Impossibile modificare il messaggio:",
- "command_desc_retrain": "Rafforza manualmente il modello Markov.",
- "command_markov_retrain": "Rafforzamento del modello Markov in corso... Attendere.",
- "command_markov_memory_not_found": "Errore: file di memoria non trovato!",
- "command_markov_memory_is_corrupt": "Errore: file di memoria corrotto!",
- "command_markov_retraining": "Elaborazione di {data_size} punti dati...",
- "command_markov_retrain_successful": "Modello Markov rafforzato con successo utilizzando {data_size} punti dati!",
- "command_desc_talk": "parla n come stuf",
- "command_talk_insufficent_text": "Ho bisogno di imparare di più dai messaggi prima di poter parlare.",
- "command_talk_generation_fail": "Non ho nulla da dire in questo momento!",
- "command_desc_help": "aiuto",
- "command_help_embed_title": "Aiuto Bot",
- "command_help_embed_desc": "Elenco dei comandi raggruppati per categoria.",
- "command_help_categories_general": "Generale",
- "command_help_categories_admin": "Amministrazione",
- "command_help_categories_custom": "Comandi personalizzati",
- "command_ran": "Info: {message.author.name} ha eseguito {message.content}",
- "command_ran_s": "Info: {interaction.user} ha eseguito ",
- "command_desc_ping": "ping",
- "command_desc_setlang": "Imposta una nuova lingua per il bot (temporaneamente)",
- "command_ping_embed_desc": "Latenza del bot:",
- "command_ping_footer": "Richiesto da",
- "command_about_desc": "informazioni",
- "command_about_embed_title": "Informazioni su di me",
- "command_about_embed_field1": "Nome",
- "command_about_embed_field2name": "Versione",
- "command_about_embed_field2value": "Locale: {local_version} \nUltima: {latest_version}",
- "command_desc_stats": "statistiche",
- "command_stats_embed_title": "Statistiche del bot",
- "command_stats_embed_desc": "Dati sulla memoria del bot.",
- "command_stats_embed_field1name": "Statistiche del file",
- "command_stats_embed_field1value": "Dimensione: {file_size} byte\nLinee: {line_count}",
- "command_stats_embed_field2name": "Versione",
- "command_stats_embed_field2value": "Locale: {local_version} \nUltima: {latest_version}",
- "command_stats_embed_field3name": "Informazioni sulle variabili",
- "command_stats_embed_field3value": "Nome: {NAME} \nPrefisso: {PREFIX} \nID Proprietario: {ownerid}\nLinea ping: {PING_LINE} \nMemoria Condivisa Abilitata: {showmemenabled} \nAddestramento Utente Abilitato: {USERTRAIN_ENABLED}\nCanzone: {song} \nSplashtext: ```{splashtext}```"
- }
-
diff --git a/bot.py b/bot.py
index 74cf0b7..9a0d416 100644
--- a/bot.py
+++ b/bot.py
@@ -1,513 +1,203 @@
-import os
-import re
-import json
-import time
-import random
-import traceback
-import subprocess
-import tempfile
-import shutil
-import uuid
-import asyncio
-import sys
-from typing import List, Dict, Set, Optional, Tuple, Any, Union, Callable, Coroutine, TypeVar, Type
-import logging
-from modules.globalvars import *
-from modules.prestartchecks import start_checks
-from modules.logger import GooberFormatter
-import logging
-
-logger = logging.getLogger("goober")
-logger.setLevel(logging.DEBUG)
-
-console_handler = logging.StreamHandler()
-console_handler.setLevel(logging.DEBUG)
-console_handler.setFormatter(GooberFormatter())
-
-file_handler = logging.FileHandler("log.txt", mode="w+", encoding="UTF-8")
-file_handler.setLevel(logging.DEBUG)
-file_handler.setFormatter(GooberFormatter(colors=False))
-
-logger.addHandler(console_handler)
-logger.addHandler(file_handler)
-
-# Print splash text and check for updates
-print(splashtext) # Print splash text (from modules/globalvars.py)
-start_checks()
-
-import requests
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, 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
+import psutil
+load_dotenv()
+# download NLTK data files
+nltk.download('punkt')
+MEMORY_FILE = "memory.json"
+MEMORY_LOADED_FILE = "MEMORY_LOADED"
+MESSAGEAIID = int(os.getenv("MESSAGEAIID"))
+def load_memory():
+ data = []
-from better_profanity import profanity
-from discord.ext import commands
+ # Try to load data from MEMORY_FILE
+ try:
+ with open(MEMORY_FILE, "r") as f:
+ data = json.load(f)
+ except FileNotFoundError:
+ pass
-from modules.volta.main import _, set_language
-from modules.markovmemory import *
-from modules.version import *
-from modules.sentenceprocessing import *
-from modules.unhandledexception import handle_exception
-from modules.image import gen_meme, gen_demotivator
+ return data
-sys.excepthook = handle_exception
-check_for_update() # Check for updates (from modules/version.py)
+# Save memory data to MEMORY_FILE
+def save_memory(memory):
+ with open(MEMORY_FILE, "w") as f:
+ json.dump(memory, f, indent=4)
-# Type aliases
-T = TypeVar('T')
-MessageContext = Union[commands.Context, discord.Interaction]
-MessageReference = Union[Message, discord.WebhookMessage]
+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
-# Constants with type hints
-positive_gifs: List[str] = os.getenv("POSITIVE_GIFS", "").split(',')
-currenthash: str = ""
-launched: bool = False
-slash_commands_enabled: bool = False
+#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)
-# Set up Discord bot intents and create bot instance
-intents: discord.Intents = discord.Intents.default()
+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 = commands.Bot(
- command_prefix=PREFIX,
- intents=intents,
- allowed_mentions=discord.AllowedMentions(everyone=False, roles=False, users=False, replied_user=True)
-)
+bot = commands.Bot(command_prefix="g!", intents=intents)
+memory = load_memory()
+markov_model = train_markov_model(memory)
-# Load memory and Markov model for text generation
-memory: List[str] = load_memory()
-markov_model: Optional[markovify.Text] = load_markov_model()
-if not markov_model:
- logger.error(_('markov_model_not_found'))
- memory = load_memory()
- markov_model = train_markov_model(memory)
-
-generated_sentences: Set[str] = set()
-used_words: Set[str] = set()
-
-async def load_cogs_from_folder(bot, folder_name="assets/cogs"):
- for filename in os.listdir(folder_name):
- if filename.endswith(".py") and not filename.startswith("_"):
- cog_name = filename[:-3]
- module_path = folder_name.replace("/", ".").replace("\\", ".") + f".{cog_name}"
- try:
- await bot.load_extension(module_path)
- logger.info(f"{(_('loaded_cog'))} {cog_name}")
- except Exception as e:
- logger.error(f"{(_('cog_fail'))} {cog_name} {e}")
- traceback.print_exc()
-
-async def send_alive_ping_periodically() -> None:
- while True:
- try:
- requests.post(f"{VERSION_URL}/aliveping", json={"name": NAME})
- except Exception as e:
- logger.error(f"{(_('error_sending_alive_ping'))}{RESET} {e}")
- await asyncio.sleep(60)
-
-# Event: Called when the bot is ready
-@bot.event
-async def on_ready() -> None:
- global launched
- global slash_commands_enabled
- global NAME
-
- folder_name: str = "cogs"
- if launched:
- return
-
- await load_cogs_from_folder(bot)
- try:
- synced: List[discord.app_commands.AppCommand] = await bot.tree.sync()
- 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}")
- logger.error("Make sure the bot has the 'applications.commands' scope and is invited with the correct permissions.")
- quit()
- except Exception as e:
- logger.error(f"{_('fail_commands_sync')} {e}")
- traceback.print_exc()
- quit()
-
- if not song:
- return
- await bot.change_presence(activity=discord.Activity(type=discord.ActivityType.listening, name=f"{song}"))
- launched = True
+generated_sentences = set()
+used_words = set()
@bot.event
-async def on_command_error(ctx: commands.Context, error: commands.CommandError) -> None:
- from modules.unhandledexception import handle_exception
-
- if isinstance(error, commands.CommandInvokeError):
- original: Exception = error.original
- handle_exception(
- type(original), original, original.__traceback__,
- context=f"Command: {ctx.command} | User: {ctx.author}"
- )
- else:
- handle_exception(
- type(error), error, error.__traceback__,
- context=f"Command: {ctx.command} | User: {ctx.author}"
- )
+async def on_ready():
+ print(f"Logged in as {bot.user}")
+ post_message.start()
-# Command: Retrain the Markov model from memory
-@bot.hybrid_command(description=f"{(_('command_desc_retrain'))}")
-async def retrain(ctx: commands.Context) -> None:
- if ctx.author.id != ownerid:
- return
+@bot.command()
+async def mem(ctx):
+ process = psutil.Process(os.getpid())
+ mem = process.memory_info().rss
+ await ctx.send(f"Total memory used: {mem / 1024 / 1024:.2f} MB")
- message_ref: MessageReference = await send_message(ctx, f"{(_('command_markov_retrain'))}")
- try:
- with open(MEMORY_FILE, 'r') as f:
- memory: List[str] = json.load(f)
- except FileNotFoundError:
- await send_message(ctx, f"{(_('command_markov_memory_not_found'))}")
- return
- except json.JSONDecodeError:
- await send_message(ctx, f"{(_('command_markov_memory_is_corrupt'))}")
- return
-
- data_size: int = len(memory)
- processed_data: int = 0
- processing_message_ref: MessageReference = await send_message(ctx, f"{(_('command_markov_retraining')).format(processed_data=processed_data, data_size=data_size)}")
- start_time: float = time.time()
-
- for i, data in enumerate(memory):
- processed_data += 1
+positive_keywords = ["happy", "good", "great", "amazing", "awesome", "joy", "love", "fantastic", "positive", "cheerful", "victory", "favorite", "lmao", "lol", "xd", "XD", "xD", "Xd"]
- global markov_model
- markov_model = train_markov_model(memory)
- save_markov_model(markov_model)
+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"
+]
- await send_message(ctx, f"{_('command_markov_retrain_successful').format(data_size=data_size)}", edit=True, message_reference=processing_message_ref)
+def is_positive(sentence):
+ sentence_lower = sentence.lower()
+ return any(keyword in sentence_lower for keyword in positive_keywords)
-# Command: Generate a sentence using the Markov model
-@bot.hybrid_command(description=f"{(_('command_desc_talk'))}")
-async def talk(ctx: commands.Context, sentence_size: int = 5) -> None:
- if not markov_model:
- await send_message(ctx, f"{(_('command_talk_insufficent_text'))}")
- return
- response: Optional[str] = None
- for _ in range(20):
- if sentence_size == 1:
- response = markov_model.make_short_sentence(max_chars=100, tries=100)
+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.event
+async def on_message(message):
+ global memory, markov_model, last_random_talk_time
+
+ if message.author.bot and message.author.id != bot.user.id:
+ if markov_model:
+ response = None
+ for _ in range(10):
+ response = markov_model.make_sentence(tries=100)
+ if response and response not in generated_sentences:
+ response = improve_sentence_coherence(response)
+ generated_sentences.add(response)
+ break
+
if response:
- response = response.split()[0]
+ async with message.channel.typing():
+ cleaned_response = re.sub(r'[^\w\s]', '', 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 message.channel.send(combined_message)
+ else:
+ await message.channel.send(coherent_response)
+ else:
+ await message.channel.send(coherent_response)
+ else:
+ await message.channel.send("I have nothing to say right now!")
else:
- response = markov_model.make_sentence(tries=100, max_words=sentence_size)
-
- if response and response not in generated_sentences:
- if sentence_size > 1:
- response = improve_sentence_coherence(response)
- generated_sentences.add(response)
- break
-
- if response:
- cleaned_response: str = re.sub(r'[^\w\s]', '', response).lower()
- coherent_response: str = rephrase_for_coherence(cleaned_response)
- if random.random() < 0.9 and is_positive(coherent_response):
- gif_url: str = random.choice(positive_gifs)
- combined_message: str = f"{coherent_response}\n[jif]({gif_url})"
- else:
- combined_message: str = coherent_response
- logger.info(combined_message)
- os.environ['gooberlatestgen'] = combined_message
- await send_message(ctx, combined_message)
- else:
- await send_message(ctx, f"{(_('command_talk_generation_fail'))}")
-
-# Command: Generate an image
-@bot.hybrid_command(description=f"{(_('command_desc_help'))}")
-async def impact(ctx: commands.Context) -> None:
- assets_folder: str = "assets/images"
- temp_input: Optional[str] = None
-
- def get_random_asset_image() -> Optional[str]:
- files: List[str] = [f for f in os.listdir(assets_folder) if f.lower().endswith(('.png', '.jpg', '.jpeg', '.webp'))]
- if not files:
- return None
- return os.path.join(assets_folder, random.choice(files))
-
- if ctx.message.attachments:
- attachment: discord.Attachment = ctx.message.attachments[0]
- if attachment.content_type and attachment.content_type.startswith("image/"):
- ext: str = os.path.splitext(attachment.filename)[1]
- temp_input = f"tempy{ext}"
- await attachment.save(temp_input)
- input_path: str = temp_input
- else:
- fallback_image: Optional[str] = get_random_asset_image()
- if fallback_image is None:
- await ctx.reply(_('no_image_available'))
- return
- temp_input = tempfile.mktemp(suffix=os.path.splitext(fallback_image)[1])
- shutil.copy(fallback_image, temp_input)
- input_path = temp_input
- else:
- fallback_image = get_random_asset_image()
- if fallback_image is None:
- await ctx.reply(_('no_image_available'))
- return
- temp_input = tempfile.mktemp(suffix=os.path.splitext(fallback_image)[1])
- shutil.copy(fallback_image, temp_input)
- input_path = temp_input
-
- output_path: Optional[str] = await gen_meme(input_path)
-
- if output_path is None or not os.path.isfile(output_path):
- if temp_input and os.path.exists(temp_input):
- os.remove(temp_input)
- await ctx.reply(_('failed_generate_image'))
- return
-
- await ctx.send(file=discord.File(output_path))
-
- if temp_input and os.path.exists(temp_input):
- os.remove(temp_input)
-
-# New demotivator command
-@bot.hybrid_command(description="Generate a demotivator poster with two lines of text")
-async def demotivator(ctx: commands.Context) -> None:
- assets_folder: str = "assets/images"
- temp_input: Optional[str] = None
-
- def get_random_asset_image() -> Optional[str]:
- files: List[str] = [f for f in os.listdir(assets_folder) if f.lower().endswith(('.png', '.jpg', '.jpeg', '.webp'))]
- if not files:
- return None
- return os.path.join(assets_folder, random.choice(files))
-
- if ctx.message.attachments:
- attachment: discord.Attachment = ctx.message.attachments[0]
- if attachment.content_type and attachment.content_type.startswith("image/"):
- ext: str = os.path.splitext(attachment.filename)[1]
- temp_input = f"tempy{ext}"
- await attachment.save(temp_input)
- input_path: str = temp_input
- else:
- fallback_image: Optional[str] = get_random_asset_image()
- if fallback_image is None:
- await ctx.reply(_('no_image_available'))
- return
- temp_input = tempfile.mktemp(suffix=os.path.splitext(fallback_image)[1])
- shutil.copy(fallback_image, temp_input)
- input_path = temp_input
- else:
- fallback_image = get_random_asset_image()
- if fallback_image is None:
- await ctx.reply(_('no_image_available'))
- return
- temp_input = tempfile.mktemp(suffix=os.path.splitext(fallback_image)[1])
- shutil.copy(fallback_image, temp_input)
- input_path = temp_input
-
- output_path: Optional[str] = await gen_demotivator(input_path)
-
- if output_path is None or not os.path.isfile(output_path):
- if temp_input and os.path.exists(temp_input):
- os.remove(temp_input)
- await ctx.reply("Failed to generate demotivator.")
- return
-
- await ctx.send(file=discord.File(output_path))
-
- if temp_input and os.path.exists(temp_input):
- os.remove(temp_input)
-
-bot.remove_command('help')
-# Command: Show help information
-@bot.hybrid_command(description=f"{(_('command_desc_help'))}")
-async def help(ctx: commands.Context) -> None:
- embed: discord.Embed = discord.Embed(
- title=f"{(_('command_help_embed_title'))}",
- description=f"{(_('command_help_embed_desc'))}",
- color=Colour(0x000000)
- )
-
- command_categories: Dict[str, List[str]] = {
- f"{(_('command_help_categories_general'))}": ["mem", "talk", "about", "ping", "impact", "demotivator", "help"],
- f"{(_('command_help_categories_admin'))}": ["stats", "retrain", "setlanguage"]
- }
-
- custom_commands: List[str] = []
- for cog_name, cog in bot.cogs.items():
- for command in cog.get_commands():
- if command.name not in command_categories[f"{(_('command_help_categories_general'))}"] and command.name not in command_categories[f"{(_('command_help_categories_admin'))}"]:
- custom_commands.append(command.name)
-
- if custom_commands:
- embed.add_field(name=f"{(_('command_help_categories_custom'))}", value="\n".join([f"{PREFIX}{command}" for command in custom_commands]), inline=False)
-
- for category, commands_list in command_categories.items():
- commands_in_category: str = "\n".join([f"{PREFIX}{command}" for command in commands_list])
- embed.add_field(name=category, value=commands_in_category, inline=False)
-
- await send_message(ctx, embed=embed)
-
-@bot.hybrid_command(description=f"{(_('command_desc_setlang'))}")
-@app_commands.describe(locale="Choose your language")
-async def setlanguage(ctx: commands.Context, locale: str) -> None:
- if ctx.author.id != ownerid:
- await ctx.send(":thumbsdown:")
- return
- await ctx.defer()
- set_language(locale)
- await ctx.send(":thumbsup:")
-
-# Event: Called on every message
-@bot.event
-async def on_message(message: discord.Message) -> None:
- global memory, markov_model
- EMOJIS = ["\U0001F604", "\U0001F44D", "\U0001F525", "\U0001F4AF", "\U0001F389", "\U0001F60E"] # originally was emojis but it would probably shit itself on systems without unicode so....
- if message.author.bot:
- return
-
- if str(message.author.id) in BLACKLISTED_USERS:
- return
-
- if message.content.startswith((f"{PREFIX}talk", f"{PREFIX}mem", f"{PREFIX}help", f"{PREFIX}stats", f"{PREFIX}")):
- logger.info(f"{(_('command_ran')).format(message=message)}")
- 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)
- cleaned_message: str = preprocess_message(formatted_message)
+ await message.channel.send("I need to learn more from messages before I can talk.")
+ if message.content and message.author.id != bot.user.id :
+ formatted_message = append_mentions_to_18digit_integer(message.content)
+ cleaned_message = preprocess_message(formatted_message)
if cleaned_message:
memory.append(cleaned_message)
- message_metadata = {
- "user_id": str(message.author.id),
- "user_name": str(message.author),
- "guild_id": str(message.guild.id) if message.guild else "DM",
- "guild_name": str(message.guild.name) if message.guild else "DM",
- "channel_id": str(message.channel.id),
- "channel_name": str(message.channel),
- "message": message.content,
- "timestamp": time.time()
- }
- try:
- if isinstance(memory, list):
- memory.append({"_meta": message_metadata})
- else:
- logger.warning("Memory is not a list; can't append metadata")
- except Exception as e:
- logger.warning(f"Failed to append metadata to memory: {e}")
-
save_memory(memory)
+ markov_model = train_markov_model(memory)
+ # Still process commands even from humans
+ if message.content and not message.author.bot:
+ await bot.process_commands(message)
- sentiment_score = is_positive(message.content) # doesnt work but im scared to change the logic now please ignore
- if sentiment_score > 0.8:
- if REACT != "True":
- return
- emoji = random.choice(EMOJIS)
- try:
- await message.add_reaction(emoji)
- except Exception as e:
- logger.info(f"Failed to react with emoji: {e}")
- 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']}")
-
-# Global check: Block blacklisted users from running commands
-@bot.check
-async def block_blacklisted(ctx: commands.Context) -> bool:
- if str(ctx.author.id) in BLACKLISTED_USERS:
- try:
- if isinstance(ctx, discord.Interaction):
- if not ctx.response.is_done():
- await ctx.response.send_message(_('blacklisted'), ephemeral=True)
- else:
- await ctx.followup.send(_('blacklisted'), ephemeral=True)
- else:
- await ctx.send(_('blacklisted_user'), ephemeral=True)
- except:
- pass
- return False
- return True
-
-# Command: Show bot latency
-@bot.hybrid_command(description=f"{(_('command_desc_ping'))}")
-async def ping(ctx: commands.Context) -> None:
+@bot.command()
+async def ping(ctx):
await ctx.defer()
- latency: int = round(bot.latency * 1000)
+ #stolen from my expect bot very proud
+ latency = round(bot.latency * 1000)
- LOLembed: discord.Embed = discord.Embed(
+ LOLembed = discord.Embed(
title="Pong!!",
description=(
- f"{PING_LINE}\n"
- f"`{(_('command_ping_embed_desc'))}: {latency}ms`\n"
+ f"The Beretta fires fast and won't make you feel any better!\n"
+ f"`Bot Latency: {latency}ms`\n"
),
- color=Colour(0x000000)
+ color=discord.Color.blue()
)
- LOLembed.set_footer(text=f"{(_('command_ping_footer'))} {ctx.author.name}", icon_url=ctx.author.avatar.url)
+ LOLembed.set_footer(text=f"Requested by {ctx.author.name}", icon_url=ctx.author.avatar.url)
- await ctx.send(embed=LOLembed)
+ await ctx.send(embed=LOLembed) # use ctx.send instead of respond because it has nothing to respond to and its not a slash command
-# Command: Show about information
-@bot.hybrid_command(description=f"{(_('command_about_desc'))}")
-async def about(ctx: commands.Context) -> None:
- print("-----------------------------------\n\n")
- latest_version: str = check_for_update()
- print("-----------------------------------")
- 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")
-
- await send_message(ctx, embed=embed)
+@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)
-# Command: Show bot statistics (admin only)
-@bot.hybrid_command(description="stats")
-async def stats(ctx: commands.Context) -> None:
- if ctx.author.id != ownerid:
- return
- print("-----------------------------------\n\n")
- latest_version: str = check_for_update()
- print("-----------------------------------")
- memory_file: str = 'memory.json'
- file_size: int = os.path.getsize(memory_file)
-
- with open(memory_file, 'r') as file:
- line_count: int = sum(1 for _ in file)
-
- embed: discord.Embed = discord.Embed(title=f"{(_('command_stats_embed_title'))}", description=f"{(_('command_stats_embed_desc'))}", color=Colour(0x000000))
- 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)
-
- await send_message(ctx, embed=embed)
-
-# Command: Upload memory.json to litterbox.catbox.moe and return the link
-@bot.hybrid_command()
-async def mem(ctx: commands.Context) -> None:
- if showmemenabled != "true":
- return
- command: str = """curl -F "reqtype=fileupload" -F "time=1h" -F "fileToUpload=@memory.json" https://litterbox.catbox.moe/resources/internals/api.php"""
- memorylitter: subprocess.CompletedProcess = subprocess.run(command, shell=True, capture_output=True, text=True)
- logger.debug(memorylitter)
- await send_message(ctx, memorylitter.stdout.strip())
-
-# Helper: Improve sentence coherence (simple capitalization fix)
-def improve_sentence_coherence(sentence: str) -> str:
- # Capitalizes "i" to "I" in the sentence
+def improve_sentence_coherence(sentence):
sentence = sentence.replace(" i ", " I ")
return sentence
-# Start the bot
-bot.run(TOKEN)
\ No newline at end of file
+@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)
+
diff --git a/example.env b/example.env
deleted file mode 100644
index fe40023..0000000
--- a/example.env
+++ /dev/null
@@ -1,28 +0,0 @@
-DISCORDBOTTOKEN=
-BOTPREFIX="g."
-PINGLINE="The Beretta fires fast and won't make you feel any better!"
-BLACKLISTEDUSERS=
-OWNERID=
-USERTRAINENABLED="true"
-SHOWMEMENABLED="true"
-LOCALE=fi
-NAME=goober
-AUTOUPDATE="True"
-SONG="Basket Case - Green Day"
-CHECKSDISABLED="Frue"
-REACT="True"
-POSITIVEGIFS="https://media.discordapp.net/attachments/821047460151427135/1181371808566493184/jjpQGeno.gif, https://tenor.com/view/chill-guy-my-new-character-gif-2777893510283028272,https://tenor.com/view/goodnight-goodnight-friends-weezer-weezer-goodnight-gif-7322052181075806988"
-SPLASHTEXT="
-
- SS\
- SS |
- SSSSSS\ SSSSSS\ SSSSSS\ SSSSSSS\ SSSSSS\ SSSSSS\
-SS __SS\ SS __SS\ SS __SS\ SS __SS\ SS __SS\ SS __SS\
-SS / SS |SS / SS |SS / SS |SS | SS |SSSSSSSS |SS | \__|
-SS | SS |SS | SS |SS | SS |SS | SS |SS ____|SS |
-\SSSSSSS |\SSSSSS |\SSSSSS |SSSSSSS |\SSSSSSS\ SS |
- \____SS | \______/ \______/ \_______/ \_______|\__|
-SS\ SS |
-\SSSSSS |
- \______/
-"
\ No newline at end of file
diff --git a/modules/README.MD b/modules/README.MD
deleted file mode 100644
index 43ce53b..0000000
--- a/modules/README.MD
+++ /dev/null
@@ -1,8 +0,0 @@
-# Modules Directory
-
-This folder contains core module files for the project.
-
-**Important:**
-Do **not** modify the files in this directory if you plan to update the project in the future. Any changes made here may be overwritten during updates, or may cause Git to detect modifications and refuse to update properly.
-
-If you need to make changes, consider contributing upstream or using extension mechanisms provided by the project.
\ No newline at end of file
diff --git a/modules/__init__.py b/modules/__init__.py
deleted file mode 100644
index e69de29..0000000
diff --git a/modules/globalvars.py b/modules/globalvars.py
deleted file mode 100644
index 2281388..0000000
--- a/modules/globalvars.py
+++ /dev/null
@@ -1,59 +0,0 @@
-import os
-import platform
-from dotenv import load_dotenv
-import pathlib
-import subprocess
-def get_git_branch():
- try:
- branch = subprocess.check_output(
- ["git", "rev-parse", "--abbrev-ref", "HEAD"],
- stderr=subprocess.DEVNULL
- ).decode('utf-8').strip()
- return branch
- except subprocess.CalledProcessError:
- return None
-
-env_path = pathlib.Path(__file__).parent.parent / '.env'
-load_dotenv(dotenv_path=env_path)
-
-ANSI = "\033["
-RED = f"{ANSI}31m"
-GREEN = f"{ANSI}32m"
-YELLOW = f"{ANSI}33m"
-PURPLE = f"{ANSI}35m"
-DEBUG = f"{ANSI}1;30m"
-RESET = f"{ANSI}0m"
-VERSION_URL = "https://raw.githubusercontent.com/gooberinc/version/main"
-UPDATE_URL = VERSION_URL+"/latest_version.json"
-print(UPDATE_URL)
-LOCAL_VERSION_FILE = "current_version.txt"
-TOKEN = os.getenv("DISCORDBOTTOKEN", "0")
-PREFIX = os.getenv("BOTPREFIX", "g.")
-PING_LINE = os.getenv("PINGLINE")
-CHECKS_DISABLED = os.getenv("CHECKSDISABLED")
-LOCALE = os.getenv("LOCALE", "en")
-gooberTOKEN = os.getenv("GOOBERTOKEN")
-splashtext = os.getenv("SPLASHTEXT")
-ownerid = int(os.getenv("OWNERID", "0"))
-showmemenabled = os.getenv("SHOWMEMENABLED")
-BLACKLISTED_USERS = os.getenv("BLACKLISTEDUSERS", "").split(",")
-USERTRAIN_ENABLED = os.getenv("USERTRAINENABLED", "true").lower() == "true"
-NAME = os.getenv("NAME")
-MEMORY_FILE = "memory.json"
-MEMORY_LOADED_FILE = "MEMORY_LOADED" # is this still even used?? okay just checked its used in the markov module
-ALIVEPING = os.getenv("ALIVEPING")
-AUTOUPDATE = os.getenv("AUTOUPDATE")
-# IGNOREWARNING = False # is this either??? i don't think so?
-song = os.getenv("song")
-arch = platform.machine()
-slash_commands_enabled = True # 100% broken, its a newer enough version so its probably enabled by default.... fix this at somepoint or hard code it in goober central code
-launched = False
-latest_version = "0.0.0"
-local_version = "2.3.3"
-os.environ['gooberlocal_version'] = local_version
-REACT = os.getenv("REACT")
-if get_git_branch() == "dev":
- beta = True
- # 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
\ No newline at end of file
diff --git a/modules/image.py b/modules/image.py
deleted file mode 100644
index 58180d5..0000000
--- a/modules/image.py
+++ /dev/null
@@ -1,174 +0,0 @@
-import os
-import re
-import random
-import shutil
-import tempfile
-from typing import Optional, List
-from PIL import Image, ImageDraw, ImageFont, ImageOps
-from modules.markovmemory import load_markov_model
-from modules.sentenceprocessing import improve_sentence_coherence, rephrase_for_coherence
-
-generated_sentences = set()
-
-def load_font(size):
- return ImageFont.truetype("assets/fonts/Impact.ttf", size=size)
-
-def load_tnr(size):
- return ImageFont.truetype("assets/fonts/TNR.ttf", size=size)
-
-def draw_text_with_outline(draw, text, x, y, font):
- outline_offsets = [(-2, -2), (-2, 2), (2, -2), (2, 2), (0, -2), (0, 2), (-2, 0), (2, 0)]
- for ox, oy in outline_offsets:
- draw.text((x + ox, y + oy), text, font=font, fill="black")
- draw.text((x, y), text, font=font, fill="white")
-
-def fits_in_width(text, font, max_width, draw):
- bbox = draw.textbbox((0, 0), text, font=font)
- text_width = bbox[2] - bbox[0]
- return text_width <= max_width
-
-def split_text_to_fit(text, font, max_width, draw):
- words = text.split()
- for i in range(len(words), 0, -1):
- top_text = " ".join(words[:i])
- bottom_text = " ".join(words[i:])
- if fits_in_width(top_text, font, max_width, draw) and fits_in_width(bottom_text, font, max_width, draw):
- return top_text, bottom_text
- midpoint = len(words) // 2
- return " ".join(words[:midpoint]), " ".join(words[midpoint:])
-
-async def gen_meme(input_image_path, sentence_size=5, max_attempts=10):
- markov_model = load_markov_model()
- if not markov_model or not os.path.isfile(input_image_path):
- return None
-
- attempt = 0
- while attempt < max_attempts:
- with Image.open(input_image_path).convert("RGBA") as img:
- draw = ImageDraw.Draw(img)
- width, height = img.size
-
- font_size = int(height / 10)
- font = load_font(font_size)
-
- response = None
- for _ in range(20):
- if sentence_size == 1:
- candidate = markov_model.make_short_sentence(max_chars=100, tries=100)
- if candidate:
- candidate = candidate.split()[0]
- else:
- candidate = markov_model.make_sentence(tries=100, max_words=sentence_size)
-
- if candidate and candidate not in generated_sentences:
- if sentence_size > 1:
- candidate = improve_sentence_coherence(candidate)
- generated_sentences.add(candidate)
- response = candidate
- break
-
- if not response:
- response = "NO TEXT GENERATED"
-
- cleaned_response = re.sub(r'[^\w\s]', '', response).lower()
- coherent_response = rephrase_for_coherence(cleaned_response).upper()
-
- bbox = draw.textbbox((0, 0), coherent_response, font=font)
- text_width = bbox[2] - bbox[0]
- text_height_px = bbox[3] - bbox[1]
- max_text_height = height // 4
-
- if text_width <= width and text_height_px <= max_text_height:
- draw_text_with_outline(draw, coherent_response, (width - text_width) / 2, 0, font)
- img.save(input_image_path)
- return input_image_path
- else:
- top_text, bottom_text = split_text_to_fit(coherent_response, font, width, draw)
-
- top_bbox = draw.textbbox((0, 0), top_text, font=font)
- bottom_bbox = draw.textbbox((0, 0), bottom_text, font=font)
-
- top_height = top_bbox[3] - top_bbox[1]
- bottom_height = bottom_bbox[3] - bottom_bbox[1]
-
- if top_height <= max_text_height and bottom_height <= max_text_height:
- draw_text_with_outline(draw, top_text, (width - (top_bbox[2] - top_bbox[0])) / 2, 0, font)
- y_bottom = height - bottom_height - int(height * 0.04)
- draw_text_with_outline(draw, bottom_text, (width - (bottom_bbox[2] - bottom_bbox[0])) / 2, y_bottom, font)
- img.save(input_image_path)
- return input_image_path
-
- attempt += 1
-
- with Image.open(input_image_path).convert("RGBA") as img:
- draw = ImageDraw.Draw(img)
- width, height = img.size
- font_size = int(height / 10)
- font = load_font(font_size)
-
- truncated = coherent_response[:100]
- bbox = draw.textbbox((0, 0), truncated, font=font)
- text_width = bbox[2] - bbox[0]
- draw_text_with_outline(draw, truncated, (width - text_width) / 2, 0, font)
- img.save(input_image_path)
- return input_image_path
-
-async def gen_demotivator(input_image_path, max_attempts=5):
- markov_model = load_markov_model()
- if not markov_model or not os.path.isfile(input_image_path):
- return None
-
- attempt = 0
- while attempt < max_attempts:
- with Image.open(input_image_path).convert("RGB") as img:
- size = max(img.width, img.height)
- frame_thick = int(size * 0.0054)
- inner_size = size - 2 * frame_thick
- resized_img = img.resize((inner_size, inner_size), Image.LANCZOS)
- framed = Image.new("RGB", (size, size), "white")
- framed.paste(resized_img, (frame_thick, frame_thick))
- landscape_w = int(size * 1.5)
- caption_h = int(size * 0.3)
- canvas_h = framed.height + caption_h
- canvas = Image.new("RGB", (landscape_w, canvas_h), "black")
- # the above logic didnt even work, fml
- fx = (landscape_w - framed.width) // 2
- canvas.paste(framed, (fx, 0))
-
- draw = ImageDraw.Draw(canvas)
-
- title = subtitle = None
- for _ in range(20):
- t = markov_model.make_sentence(tries=100, max_words=4)
- s = markov_model.make_sentence(tries=100, max_words=5)
- if t and s and t != s:
- title = t.upper()
- subtitle = s.capitalize()
- break
- if not title: title = "DEMOTIVATOR"
- if not subtitle: subtitle = "no text generated"
-
- title_sz = int(caption_h * 0.4)
- sub_sz = int(caption_h * 0.25)
- title_font = load_tnr(title_sz)
- sub_font = load_tnr(sub_sz)
-
- bbox = draw.textbbox((0, 0), title, font=title_font)
- txw, txh = bbox[2] - bbox[0], bbox[3] - bbox[1]
- tx = (landscape_w - txw) // 2
- ty = framed.height + int(caption_h * 0.1)
- draw_text_with_outline(draw, title, tx, ty, title_font)
-
- bbox = draw.textbbox((0, 0), subtitle, font=sub_font)
- sxw, sxh = bbox[2] - bbox[0], bbox[3] - bbox[1]
- sx = (landscape_w - sxw) // 2
- sy = ty + txh + int(caption_h * 0.05)
- for ox, oy in [(-1, -1), (1, -1), (-1, 1), (1, 1)]:
- draw.text((sx + ox, sy + oy), subtitle, font=sub_font, fill="black")
- draw.text((sx, sy), subtitle, font=sub_font, fill="#AAAAAA")
-
- canvas.save(input_image_path)
- return input_image_path
-
- attempt += 1
- return None
diff --git a/modules/logger.py b/modules/logger.py
deleted file mode 100644
index 76f5f10..0000000
--- a/modules/logger.py
+++ /dev/null
@@ -1,25 +0,0 @@
-import logging
-from modules.globalvars import *
-
-class GooberFormatter(logging.Formatter):
- def __init__(self, colors: bool = True): # Disable colors for TXT output
- self.colors = colors
-
- self._format = f"[ %(levelname)-8s ]: %(message)s {DEBUG} [%(asctime)s.%(msecs)03d] (%(filename)s:%(funcName)s) {RESET}"
-
- self.FORMATS = {
- logging.DEBUG: DEBUG + self._format + RESET,
- logging.INFO: self._format.replace("%(levelname)-8s", f"{GREEN}%(levelname)-8s{RESET}"),
- logging.WARNING: YELLOW + self._format + RESET,
- logging.ERROR: RED + self._format + RESET,
- logging.CRITICAL: PURPLE + self._format + RESET
- }
-
- def format(self, record: logging.LogRecord):
- 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)
diff --git a/modules/markovmemory.py b/modules/markovmemory.py
deleted file mode 100644
index 3235035..0000000
--- a/modules/markovmemory.py
+++ /dev/null
@@ -1,64 +0,0 @@
-import os
-import json
-import markovify
-import pickle
-from modules.globalvars import *
-from modules.volta.main import _
-import logging
-logger = logging.getLogger("goober")
-# Get file size and line count for a given file path
-def get_file_info(file_path):
- try:
- file_size = os.path.getsize(file_path)
- with open(file_path, "r") as f:
- lines = f.readlines()
- return {"file_size_bytes": file_size, "line_count": len(lines)}
- except Exception as e:
- return {"error": str(e)}
-
-# Load memory data from file, or use default dataset if not loaded yet
-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
-
-# Save the Markov model to a pickle file
-def save_markov_model(model, filename='markov_model.pkl'):
- with open(filename, 'wb') as f:
- pickle.dump(model, f)
- logger.info(f"Markov model saved to {filename}.")
-
-# Load the Markov model from a pickle file
-def load_markov_model(filename='markov_model.pkl'):
- try:
- with open(filename, 'rb') as f:
- model = pickle.load(f)
- logger.info(f"{_('model_loaded')} {filename}.{RESET}")
- return model
- except FileNotFoundError:
- logger.error(f"{filename} {_('not_found')}{RESET}")
- return None
\ No newline at end of file
diff --git a/modules/prestartchecks.py b/modules/prestartchecks.py
deleted file mode 100644
index bb952f4..0000000
--- a/modules/prestartchecks.py
+++ /dev/null
@@ -1,255 +0,0 @@
-from modules.globalvars import *
-from modules.volta.main import _, check_missing_translations
-import time
-import os
-import sys
-import subprocess
-import sysconfig
-import ast
-import json
-import re
-from spacy.util import is_package
-import importlib.metadata
-import logging
-
-logger = logging.getLogger("goober")
-
-# import shutil
-psutilavaliable = True
-try:
- import requests
- import psutil
-except ImportError:
- psutilavaliable = False
- logger.error(_('missing_requests_psutil'))
-
-def check_for_model():
- if is_package("en_core_web_sm"):
- logger.info("Model is installed.")
- else:
- logger.info("Model is not installed.")
-
-
-def iscloned():
- if os.path.exists(".git"):
- return True
- else:
- logger.error(f"{_('not_cloned')}")
- sys.exit(1)
-
-def get_stdlib_modules():
- stdlib_path = pathlib.Path(sysconfig.get_paths()['stdlib'])
- modules = set()
- if hasattr(sys, 'builtin_module_names'):
- modules.update(sys.builtin_module_names)
- for file in stdlib_path.glob('*.py'):
- if file.stem != '__init__':
- modules.add(file.stem)
- for folder in stdlib_path.iterdir():
- if folder.is_dir() and (folder / '__init__.py').exists():
- modules.add(folder.name)
- for file in stdlib_path.glob('*.*'):
- if file.suffix in ('.so', '.pyd'):
- modules.add(file.stem)
-
- return modules
-
-def check_requirements():
- STD_LIB_MODULES = get_stdlib_modules()
- PACKAGE_ALIASES = {
- "discord": "discord.py",
- "better_profanity": "better-profanity",
- "dotenv": "python-dotenv",
- "pil": "pillow"
- }
-
- parent_dir = os.path.dirname(os.path.abspath(__file__))
- requirements_path = os.path.abspath(os.path.join(parent_dir, '..', 'requirements.txt'))
-
- if not os.path.exists(requirements_path):
- logger.error(f"{(_('requirements_not_found')).format(path=requirements_path)}")
- return
-
- with open(requirements_path, 'r') as f:
- lines = f.readlines()
- requirements = set()
- for line in lines:
- line = line.strip()
- if line and not line.startswith('#'):
- base_pkg = line.split('==')[0].lower()
- aliased_pkg = PACKAGE_ALIASES.get(base_pkg, base_pkg)
- requirements.add(aliased_pkg)
-
- installed_packages = {dist.metadata['Name'].lower() for dist in importlib.metadata.distributions()}
- missing = []
-
- for req in sorted(requirements):
- if req in STD_LIB_MODULES or req == 'modules':
- print((_('std_lib_local_skipped')).format(package=req))
- continue
-
- check_name = req.lower()
-
- if check_name in installed_packages:
- logger.info(f"{_('ok_installed').format(package=check_name)} {check_name}")
- else:
- logger.error(f"{(_('missing_package')).format(package=check_name)} {check_name} {(_('missing_package2'))}")
- missing.append(check_name)
-
- if missing:
- logger.error(_('missing_packages_detected'))
- for pkg in missing:
- print(f" - {pkg}")
- sys.exit(1)
- else:
- logger.info(_('all_requirements_satisfied'))
-
-def check_latency():
- host = "1.1.1.1"
- system = platform.system()
-
- if system == "Windows":
- cmd = ["ping", "-n", "1", "-w", "1000", host]
- latency_pattern = r"Average = (\d+)ms"
-
- elif system == "Darwin":
- cmd = ["ping", "-c", "1", host]
- latency_pattern = r"time=([\d\.]+) ms"
-
- else:
- cmd = ["ping", "-c", "1", "-W", "1", host]
- latency_pattern = r"time=([\d\.]+) ms"
-
- try:
- result = subprocess.run(
- cmd,
- stdout=subprocess.PIPE,
- stderr=subprocess.PIPE,
- text=True
- )
-
- if result.returncode == 0:
- match = re.search(latency_pattern, result.stdout)
- if match:
- latency_ms = float(match.group(1))
- logger.info((_('ping_to')).format(host=host, latency=latency_ms))
- if latency_ms > 300:
- logger.warning(f"{(_('high_latency'))}")
- else:
- logger.warning((_('could_not_parse_latency')))
- else:
- print(result.stderr)
- logger.error(f"{(_('ping_failed')).format(host=host)}{RESET}")
- except Exception as e:
- logger.error((_('error_running_ping')).format(error=e))
-
-def check_memory():
- if psutilavaliable == False:
- return
- try:
- memory_info = psutil.virtual_memory() # type: ignore
- total_memory = memory_info.total / (1024 ** 3)
- used_memory = memory_info.used / (1024 ** 3)
- free_memory = memory_info.available / (1024 ** 3)
-
- logger.info((_('memory_usage')).format(used=used_memory, total=total_memory, percent=(used_memory / total_memory) * 100))
- if used_memory > total_memory * 0.9:
- print(f"{YELLOW}{(_('memory_above_90')).format(percent=(used_memory / total_memory) * 100)}{RESET}")
- logger.info((_('total_memory')).format(total=total_memory))
- logger.info((_('used_memory')).format(used=used_memory))
- if free_memory < 1:
- logger.warning(f"{(_('low_free_memory')).format(free=free_memory)}")
- sys.exit(1)
- except ImportError:
- logger.error(_('psutil_not_installed')) # todo: translate this into italian and put it in the translations "psutil is not installed. Memory check skipped."
-
-def check_cpu():
- if psutilavaliable == False:
- return
- logger.info((_('measuring_cpu')))
- cpu_per_core = psutil.cpu_percent(interval=1, percpu=True) # type: ignore
- total_cpu = sum(cpu_per_core) / len(cpu_per_core)
- logger.info((_('total_cpu_usage')).format(usage=total_cpu))
- if total_cpu > 85:
- logger.warning(f"{(_('high_avg_cpu')).format(usage=total_cpu)}")
- if total_cpu > 95:
- logger.error(_('really_high_cpu'))
- sys.exit(1)
-
-def check_memoryjson():
- try:
- logger.info((_('memory_file')).format(size=os.path.getsize(MEMORY_FILE) / (1024 ** 2)))
- if os.path.getsize(MEMORY_FILE) > 1_073_741_824:
- logger.warning(f"{(_('memory_file_large'))}")
- try:
- with open(MEMORY_FILE, 'r', encoding='utf-8') as f:
- json.load(f)
- except json.JSONDecodeError as e:
- logger.error(f"{(_('memory_file_corrupted')).format(error=e)}")
- logger.warning(f"{(_('consider_backup_memory'))}")
- except UnicodeDecodeError as e:
- logger.error(f"{(_('memory_file_encoding')).format(error=e)}")
- logger.warning(f"{(_('consider_backup_memory'))}")
- except Exception as e:
- logger.error(f"{(_('error_reading_memory')).format(error=e)}")
- except FileNotFoundError:
- logger(f"{(_('memory_file_not_found'))}")
-
-def presskey2skip(timeout):
- if os.name == 'nt':
- import msvcrt
- start_time = time.time()
- while True:
- if msvcrt.kbhit():
- msvcrt.getch()
- break
- if time.time() - start_time > timeout:
- break
- time.sleep(0.1)
- else:
- import select
- import sys
- import termios
- import tty
-
- fd = sys.stdin.fileno()
- old_settings = termios.tcgetattr(fd)
- try:
- tty.setcbreak(fd)
- start_time = time.time()
- while True:
- if select.select([sys.stdin], [], [], 0)[0]:
- sys.stdin.read(1)
- break
- if time.time() - start_time > timeout:
- break
- time.sleep(0.1)
- finally:
- termios.tcsetattr(fd, termios.TCSADRAIN, old_settings)
-beta = beta
-def start_checks():
- if CHECKS_DISABLED == "True":
- logger.warning(f"{(_('checks_disabled'))}")
- return
- logger.info(_('running_prestart_checks'))
- check_for_model()
- iscloned()
- check_missing_translations()
- check_requirements()
- check_latency()
- check_memory()
- check_memoryjson()
- check_cpu()
- if os.path.exists(".env"):
- pass
- else:
- logger.warning(f"{(_('env_file_not_found'))}")
- sys.exit(1)
- if beta == True:
- logger.warning(f"this build isnt finished yet, some things might not work as expected")
- else:
- pass
- logger.info(_('continuing_in_seconds').format(seconds=5))
- presskey2skip(timeout=5)
- os.system('cls' if os.name == 'nt' else 'clear')
- print(splashtext)
\ No newline at end of file
diff --git a/modules/sentenceprocessing.py b/modules/sentenceprocessing.py
deleted file mode 100644
index 993ba90..0000000
--- a/modules/sentenceprocessing.py
+++ /dev/null
@@ -1,80 +0,0 @@
-import re
-from modules.globalvars import *
-from modules.volta.main import _
-
-import spacy
-from spacy.tokens import Doc
-from spacytextblob.spacytextblob import SpacyTextBlob
-
-import logging
-logger = logging.getLogger("goober")
-
-
-def check_resources():
- try:
- nlp = spacy.load("en_core_web_sm")
- except OSError:
- logging.critical((_('spacy_model_not_found')))
- spacy.cli.download("en_core_web_sm")
- nlp = spacy.load("en_core_web_sm")
- if "spacytextblob" not in nlp.pipe_names:
- nlp.add_pipe("spacytextblob")
- logger.info((_('spacy_initialized')))
-
-check_resources()
-
-nlp = spacy.load("en_core_web_sm")
-nlp.add_pipe("spacytextblob")
-Doc.set_extension("polarity", getter=lambda doc: doc._.blob.polarity)
-
-def is_positive(sentence):
- doc = nlp(sentence)
- sentiment_score = doc._.polarity # from spacytextblob
-
- debug_message = f"{(_('sentence_positivity'))} {sentiment_score}{RESET}"
- logger.debug(debug_message)
-
- return sentiment_score > 0.6 # had to raise the bar because it kept saying "death to jews" was fine and it kept reacting to them
-
-async def send_message(ctx, message=None, embed=None, file=None, edit=False, message_reference=None):
- if edit and message_reference:
- try:
- await message_reference.edit(content=message, embed=embed)
- except Exception as e:
- await ctx.send(f"{RED}{(_('edit_fail'))} {e}{RESET}")
- else:
- if hasattr(ctx, "respond"):
- sent_message = None
- if embed:
- sent_message = await ctx.respond(embed=embed, ephemeral=False)
- elif message:
- sent_message = await ctx.respond(message, ephemeral=False)
- if file:
- sent_message = await ctx.respond(file=file, ephemeral=False)
- else:
- sent_message = None
- if embed:
- sent_message = await ctx.send(embed=embed)
- elif message:
- sent_message = await ctx.send(message)
- if file:
- 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)
- 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)
-
-def rephrase_for_coherence(sentence):
- words = sentence.split()
- coherent_sentence = " ".join(words)
- return coherent_sentence
diff --git a/modules/unhandledexception.py b/modules/unhandledexception.py
deleted file mode 100644
index 9521e72..0000000
--- a/modules/unhandledexception.py
+++ /dev/null
@@ -1,25 +0,0 @@
-import sys
-import traceback
-import os
-from modules.globalvars import RED, RESET, splashtext
-from modules.volta.main import _
-
-def handle_exception(exc_type, exc_value, exc_traceback, *, context=None):
- os.system('cls' if os.name == 'nt' else 'clear')
-
- if issubclass(exc_type, KeyboardInterrupt):
- sys.__excepthook__(exc_type, exc_value, exc_traceback)
- return
-
- print(splashtext)
- print(f"{RED}=====BEGINNING OF TRACEBACK====={RESET}")
- traceback.print_exception(exc_type, exc_value, exc_traceback)
- print(f"{RED}========END OF TRACEBACK========{RESET}")
- print(f"{RED}{_('unhandled_exception')}{RESET}")
-
-
- if context:
- print(f"{RED}Context: {context}{RESET}")
-
-
-
diff --git a/modules/version.py b/modules/version.py
deleted file mode 100644
index a5c1132..0000000
--- a/modules/version.py
+++ /dev/null
@@ -1,105 +0,0 @@
-from modules.volta.main import _
-from modules.globalvars import *
-import requests
-import subprocess
-import sys
-import logging
-import json
-import time
-import random
-logger = logging.getLogger("goober")
-launched = False
-
-# Run a shell command and return its output
-def run_cmd(cmd):
- result = subprocess.run(cmd, shell=True, capture_output=True, text=True)
- return result.stdout.strip()
-
-# Check if the remote branch is ahead of the local branch
-def is_remote_ahead(branch='main', remote='origin'):
- run_cmd(f'git fetch {remote}')
- count = run_cmd(f'git rev-list --count HEAD..{remote}/{branch}')
- return int(count) > 0
-
-# Automatically update the local repository if the remote is ahead
-def auto_update(branch='main', remote='origin'):
- if launched == True:
- print(_("already_started"))
- return
- if AUTOUPDATE != "True":
- pass # Auto-update is disabled
- if is_remote_ahead(branch, remote):
- print(_( "remote_ahead").format(remote=remote, branch=branch))
- pull_result = run_cmd(f'git pull {remote} {branch}')
- logger.info(pull_result)
- logger.info(_( "please_restart"))
- sys.exit(0)
- else:
- logger.info(_( "local_ahead").format(remote=remote, branch=branch))
-
-def get_latest_version_info():
- try:
- unique_suffix = f"{int(time.time())}_{random.randint(0, 9999)}"
- url = f"{UPDATE_URL}?_={unique_suffix}"
-
- curl_cmd = [
- "curl",
- "-s",
- "-H", "Cache-Control: no-cache",
- "-H", "Pragma: no-cache",
- url
- ]
-
- result = subprocess.run(curl_cmd, capture_output=True, text=True, timeout=5)
- content = result.stdout
-
- if result.returncode != 0:
- logger.error(f"curl failed with return code {result.returncode}")
- return None
-
- try:
- data = json.loads(content)
- return data
- except json.JSONDecodeError:
- logger.error("JSON decode failed")
- logger.error(content[:500])
- return None
-
- except Exception as e:
- logger.error(f"Exception in get_latest_version_info: {e}")
- return None
-
-# Check if an update is available and perform update if needed
-def check_for_update():
- global latest_version, local_version, launched
-
- latest_version_info = get_latest_version_info()
- if not latest_version_info:
- logger.error(f"{_('fetch_update_fail')}")
- return None, None
-
- latest_version = latest_version_info.get("version")
- os.environ['gooberlatest_version'] = latest_version
- download_url = latest_version_info.get("download_url")
-
- if not latest_version or not download_url:
- logger.error(f"{RED}{_('invalid_server')}{RESET}")
- return None, None
- # Check if local_version is valid
- if local_version == "0.0.0" or None:
- logger.error(f"{RED}{_('cant_find_local_version')}{RESET}")
- return
- # Compare local and latest versions
- if local_version < latest_version:
- logger.info(f"{YELLOW}{_('new_version').format(latest_version=latest_version, local_version=local_version)}{RESET}")
- logger.info(f"{YELLOW}{_('changelog').format(VERSION_URL=VERSION_URL)}{RESET}")
- auto_update()
- elif beta == True:
- logger.warning(f"You are running an \"unstable\" version of Goober, do not expect it to work properly.\nVersion {local_version}\nServer: {latest_version}{RESET}")
- elif local_version > latest_version:
- logger.warning(f"{_('modification_warning')}")
- elif local_version == latest_version:
- logger.info(f"{_('latest_version')} {local_version}")
- logger.info(f"{_('latest_version2').format(VERSION_URL=VERSION_URL)}\n\n")
- launched = True
- return latest_version
\ No newline at end of file
diff --git a/modules/volta/main.py b/modules/volta/main.py
deleted file mode 100644
index fb6a080..0000000
--- a/modules/volta/main.py
+++ /dev/null
@@ -1,207 +0,0 @@
-# If you're seeing this after cloning the Goober repo, note that this is a standalone module for translations.
-# While it's used by Goober Core, it lives in its own repository and should not be modified here.
-# For updates or contributions, visit: https://github.com/gooberinc/volta
-# Also, Note to self: Add more comments it needs more love
-import os
-import locale
-import json
-import pathlib
-import threading
-import time
-from dotenv import load_dotenv
-
-ANSI = "\033["
-RED = f"{ANSI}31m"
-GREEN = f"{ANSI}32m"
-YELLOW = f"{ANSI}33m"
-DEBUG = f"{ANSI}1;30m"
-RESET = f"{ANSI}0m"
-
-LOCALE = os.getenv("LOCALE")
-module_dir = pathlib.Path(__file__).parent.parent
-working_dir = pathlib.Path.cwd()
-EXCLUDE_DIRS = {'.git', '__pycache__'}
-
-locales_dirs = []
-ENGLISH_MISSING = False
-FALLBACK_LOCALE = "en"
-if os.getenv("fallback_locale"):
- FALLBACK_LOCALE = os.getenv("fallback_locale")
-def find_locales_dirs(base_path):
- found = []
- for root, dirs, files in os.walk(base_path):
- dirs[:] = [d for d in dirs if d not in EXCLUDE_DIRS]
-
- if 'locales' in dirs:
- locales_path = pathlib.Path(root) / 'locales'
- found.append(locales_path)
- dirs.remove('locales')
- return found
-
-def find_dotenv(start_path: pathlib.Path) -> pathlib.Path | None:
- current = start_path.resolve()
- while current != current.parent:
- candidate = current / ".env"
- if candidate.exists():
- return candidate
- current = current.parent
- return None
-
-env_path = find_dotenv(pathlib.Path(__file__).parent)
-if env_path:
- load_dotenv(dotenv_path=env_path)
- print(f"[VOLTA] {GREEN}Loaded .env from {env_path}{RESET}")
-else:
- print(f"[VOLTA] {YELLOW}No .env file found from {__file__} upwards.{RESET}")
-
-locales_dirs.extend(find_locales_dirs(module_dir))
-if working_dir != module_dir:
- locales_dirs.extend(find_locales_dirs(working_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
- if system == "Windows":
- lang, _ = locale.getdefaultlocale()
- return lang or os.getenv("LANG")
- elif system == "Darwin":
- try:
- import subprocess
- result = subprocess.run(
- ["defaults", "read", "-g", "AppleLocale"],
- stdout=subprocess.PIPE,
- stderr=subprocess.DEVNULL,
- text=True
- )
- return result.stdout.strip() or locale.getdefaultlocale()[0]
- except Exception:
- return locale.getdefaultlocale()[0]
- elif system == "Linux":
- return (
- os.getenv("LC_ALL") or
- os.getenv("LANG") or
- locale.getdefaultlocale()[0]
- )
- return locale.getdefaultlocale()[0]
-
-
-def load_translations():
- global translations, _file_mod_times
- translations.clear()
- _file_mod_times.clear()
-
- for locales_dir in locales_dirs:
- for filename in os.listdir(locales_dir):
- if filename.endswith(".json"):
- lang_code = filename[:-5]
- file_path = locales_dir / filename
- try:
- with open(file_path, "r", encoding="utf-8") as f:
- data = json.load(f)
- if lang_code not in translations:
- translations[lang_code] = {}
- translations[lang_code].update(data)
- _file_mod_times[(lang_code, file_path)] = file_path.stat().st_mtime
- except Exception as e:
- print(f"[VOLTA] {RED}Failed loading {file_path}: {e}{RESET}")
-
-def reload_if_changed():
- while True:
- for (lang_code, file_path), last_mtime in list(_file_mod_times.items()):
- try:
- current_mtime = file_path.stat().st_mtime
- if current_mtime != last_mtime:
- print(f"[VOLTA] {RED}Translation file changed: {file_path}, reloading...{RESET}")
- load_translations()
- break
- except FileNotFoundError:
- print(f"[VOLTA] {RED}Translation file removed: {file_path}{RESET}")
- _file_mod_times.pop((lang_code, file_path), None)
- if lang_code in translations:
- translations.pop(lang_code, None)
-
-def set_language(lang: str):
- global LOCALE, ENGLISH_MISSING
- if not LOCALE:
- LOCALE = get_system_locale()
- elif lang in translations:
- LOCALE = lang
- else:
- print(f"[VOLTA] {RED}Language '{lang}' not found, defaulting to 'en'{RESET}")
- if FALLBACK_LOCALE in translations:
- LOCALE = FALLBACK_LOCALE
- else:
- print(f"[VOLTA] {RED}The fallback translations cannot be found! No fallback available.{RESET}")
- ENGLISH_MISSING = True
-
-def check_missing_translations():
- global LOCALE, ENGLISH_MISSING
- load_translations()
- if FALLBACK_LOCALE not in translations:
- print(f"[VOLTA] {RED}Fallback translations ({FALLBACK_LOCALE}.json) missing from assets/locales.{RESET}")
- ENGLISH_MISSING = True
- return
- if LOCALE == "en":
- print("[VOLTA] Locale is English, skipping missing key check.")
- return
-
-
- en_keys = set(translations.get("en", {}).keys())
- locale_keys = set(translations.get(LOCALE, {}).keys())
-
- missing_keys = en_keys - locale_keys
- total_keys = len(en_keys)
- missing_count = len(missing_keys)
-
- if missing_count > 0:
- percent_missing = (missing_count / total_keys) * 100
- if percent_missing == 100:
- print(f"[VOLTA] {YELLOW}Warning: All keys are missing in locale '{LOCALE}'! Defaulting back to {FALLBACK_LOCALE}{RESET}")
- set_language(FALLBACK_LOCALE)
- elif percent_missing > 0:
- print(f"[VOLTA] {YELLOW}Warning: {missing_count}/{total_keys} keys missing in locale '{LOCALE}' ({percent_missing:.1f}%)!{RESET}")
- for key in sorted(missing_keys):
- print(f" - {key}")
- time.sleep(2)
- else:
- print(f"[VOLTA] All translation keys present for locale: {LOCALE}")
-
-printedsystemfallback = False
-
-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, {})
- sys_lang = get_system_locale().split("_")[0] if get_system_locale() else None
- sys_translations = translations.get(sys_lang, {}) if sys_lang else {}
- lang_translations = translations.get(lang, {})
- if key in lang_translations:
- 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]
- if key in fallback_translations:
- print(f"[VOLTA] {YELLOW}Missing key: '{key}' in '{lang}', falling back to fallback locale '{FALLBACK_LOCALE}'{RESET}")
- return fallback_translations[key]
- return f"[VOLTA] {YELLOW}Missing key: '{key}' in all locales!{RESET}"
-
-def _(key: str) -> str:
- return get_translation(LOCALE, key)
-
-load_translations()
-
-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..")
diff --git a/requirements.txt b/requirements.txt
deleted file mode 100644
index c53d758..0000000
--- a/requirements.txt
+++ /dev/null
@@ -1,10 +0,0 @@
-discord.py
-markovify
-spacy
-spacytextblob
-requests
-psutil
-better_profanity
-python-dotenv
-dotenv
-pillow
\ No newline at end of file
diff --git a/specialthanks.txt b/specialthanks.txt
deleted file mode 100644
index c509086..0000000
--- a/specialthanks.txt
+++ /dev/null
@@ -1,3 +0,0 @@
-- The catbox.moe team for memory.json file uploads
-- Charlie's Computers
-- ctih1
diff --git a/todo.txt b/todo.txt
deleted file mode 100644
index 428c6c8..0000000
--- a/todo.txt
+++ /dev/null
@@ -1,4 +0,0 @@
-- fix missing translations in some cases
-- revamp wiki
-- clean the rest
-- alot