411 lines
16 KiB
Python
411 lines
16 KiB
Python
import discord
|
|
from discord.ext import commands, tasks
|
|
from discord import app_commands
|
|
import json
|
|
import random
|
|
import os
|
|
import time
|
|
import re
|
|
import os
|
|
import requests
|
|
import subprocess
|
|
import psutil
|
|
from better_profanity import profanity
|
|
import traceback
|
|
import shutil
|
|
import nltk
|
|
from nltk.data import find
|
|
from nltk import download
|
|
from modules.globalvars import *
|
|
from modules.central import ping_server
|
|
from modules.translations import *
|
|
from modules.markovmemory import *
|
|
from modules.version import *
|
|
|
|
print(splashtext) # you can use https://patorjk.com/software/taag/ for 3d text or just remove this entirely
|
|
check_for_update()
|
|
launched = False
|
|
|
|
def check_resources():
|
|
resources = {
|
|
'vader_lexicon': 'sentiment/vader_lexicon',
|
|
'punkt_tab': 'tokenizers/punkt',
|
|
}
|
|
|
|
for resource, path in resources.items():
|
|
try:
|
|
find(path)
|
|
print(f"{resource} is already installed.")
|
|
except LookupError:
|
|
print(f"{resource} is not installed. Downloading now...")
|
|
download(resource)
|
|
|
|
check_resources()
|
|
|
|
from nltk.sentiment.vader import SentimentIntensityAnalyzer
|
|
from nltk.tokenize import word_tokenize
|
|
analyzer = SentimentIntensityAnalyzer()
|
|
|
|
def download_json():
|
|
locales_dir = "locales"
|
|
response = requests.get(f"https://raw.githubusercontent.com/gooberinc/goober/refs/heads/main/locales/{LOCALE}.json")
|
|
if response.status_code == 200:
|
|
|
|
if not os.path.exists(locales_dir):
|
|
os.makedirs(locales_dir)
|
|
file_path = os.path.join(locales_dir, f"{LOCALE}.json")
|
|
if os.path.exists(file_path):
|
|
return
|
|
else:
|
|
with open(file_path, "w", encoding="utf-8") as file:
|
|
file.write(response.text)
|
|
|
|
if not os.path.exists(os.path.join(locales_dir, "en.json")):
|
|
|
|
response = requests.get(f"https://raw.githubusercontent.com/gooberinc/goober/refs/heads/main/locales/en.json")
|
|
if response.status_code == 200:
|
|
with open(os.path.join(locales_dir, "en.json"), "w", encoding="utf-8") as file:
|
|
file.write(response.text)
|
|
|
|
download_json()
|
|
|
|
async def load_cogs_from_folder(bot, folder_name="cogs"):
|
|
for filename in os.listdir(folder_name):
|
|
if filename.endswith(".py") and not filename.startswith("_"):
|
|
cog_name = filename[:-3]
|
|
try:
|
|
await bot.load_extension(f"{folder_name}.{cog_name}")
|
|
print(f"{GREEN}{get_translation(LOCALE, 'loaded_cog')} {cog_name}{RESET}")
|
|
except Exception as e:
|
|
print(f"{RED}{get_translation(LOCALE, 'cog_fail')} {cog_name} {e}{RESET}")
|
|
traceback.print_exc()
|
|
|
|
|
|
currenthash = ""
|
|
|
|
#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"", message)
|
|
|
|
def preprocess_message(message):
|
|
message = append_mentions_to_18digit_integer(message)
|
|
tokens = word_tokenize(message)
|
|
tokens = [token for token in tokens if token.isalnum()]
|
|
return " ".join(tokens)
|
|
|
|
|
|
intents = discord.Intents.default()
|
|
|
|
intents.messages = True
|
|
intents.message_content = True
|
|
bot = commands.Bot(command_prefix=PREFIX, intents=intents, allowed_mentions=discord.AllowedMentions(everyone=False, roles=False, users=False, replied_user=True))
|
|
memory = load_memory()
|
|
markov_model = load_markov_model()
|
|
if not markov_model:
|
|
print(f"{get_translation(LOCALE, 'no_model')}")
|
|
memory = load_memory()
|
|
markov_model = train_markov_model(memory)
|
|
|
|
generated_sentences = set()
|
|
used_words = set()
|
|
|
|
@bot.event
|
|
async def on_ready():
|
|
global launched
|
|
folder_name = "cogs"
|
|
if launched == True:
|
|
return
|
|
if not os.path.exists(folder_name):
|
|
os.makedirs(folder_name)
|
|
print(f"{GREEN}{get_translation(LOCALE, 'folder_created').format(folder_name=folder_name)}{RESET}")
|
|
else:
|
|
print(f"{DEBUG}{get_translation(LOCALE, 'folder_exists').format(folder_name=folder_name)}{RESET}")
|
|
markov_model = train_markov_model(memory)
|
|
await load_cogs_from_folder(bot)
|
|
global slash_commands_enabled
|
|
print(f"{GREEN}{get_translation(LOCALE, 'logged_in')} {bot.user}{RESET}")
|
|
try:
|
|
synced = await bot.tree.sync()
|
|
print(f"{GREEN}{get_translation(LOCALE, 'synced_commands')} {len(synced)} {get_translation(LOCALE, 'synced_commands2')} {RESET}")
|
|
slash_commands_enabled = True
|
|
ping_server()
|
|
print(f"{GREEN}{get_translation(LOCALE, 'started').format()}{RESET}")
|
|
except Exception as e:
|
|
print(f"{RED}{get_translation(LOCALE, 'fail_commands_sync')} {e}{RESET}")
|
|
traceback.print_exc()
|
|
quit()
|
|
if not song:
|
|
return
|
|
await bot.change_presence(activity=discord.Activity(type=discord.ActivityType.listening, name=f"{song}"))
|
|
launched = True
|
|
|
|
|
|
positive_gifs = os.getenv("POSITIVE_GIFS").split(',')
|
|
|
|
def is_positive(sentence):
|
|
scores = analyzer.polarity_scores(sentence)
|
|
sentiment_score = scores['compound']
|
|
|
|
# forcin this fucker
|
|
debug_message = f"{DEBUG}{get_translation(LOCALE, 'sentence_positivity')} {sentiment_score}{RESET}"
|
|
print(debug_message)
|
|
|
|
return sentiment_score > 0.1
|
|
|
|
|
|
async def send_message(ctx, message=None, embed=None, file=None, edit=False, message_reference=None):
|
|
if edit and message_reference:
|
|
try:
|
|
# Editing the existing message
|
|
await message_reference.edit(content=message, embed=embed)
|
|
except Exception as e:
|
|
await ctx.send(f"{RED}{get_translation(LOCALE, 'edit_fail')} {e}{RESET}")
|
|
else:
|
|
if hasattr(ctx, "respond"):
|
|
# For slash command contexts
|
|
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
|
|
|
|
@bot.hybrid_command(description=f"{get_translation(LOCALE, 'command_desc_retrain')}")
|
|
async def retrain(ctx):
|
|
if ctx.author.id != ownerid:
|
|
return
|
|
|
|
message_ref = await send_message(ctx, f"{get_translation(LOCALE, 'command_markov_retrain')}")
|
|
try:
|
|
with open(MEMORY_FILE, 'r') as f:
|
|
memory = json.load(f)
|
|
except FileNotFoundError:
|
|
await send_message(ctx, f"{get_translation(LOCALE, 'command_markov_memory_not_found')}")
|
|
return
|
|
except json.JSONDecodeError:
|
|
await send_message(ctx, f"{get_translation(LOCALE, 'command_markov_memory_is_corrupt')}")
|
|
return
|
|
data_size = len(memory)
|
|
processed_data = 0
|
|
processing_message_ref = await send_message(ctx, f"{get_translation(LOCALE, 'command_markov_retraining').format(processed_data=processed_data, data_size=data_size)}")
|
|
start_time = time.time()
|
|
for i, data in enumerate(memory):
|
|
processed_data += 1
|
|
if processed_data % 1000 == 0 or processed_data == data_size:
|
|
await send_message(ctx, f"{get_translation(LOCALE, 'command_markov_retraining').format(processed_data=processed_data, data_size=data_size)}", edit=True, message_reference=processing_message_ref)
|
|
|
|
global markov_model
|
|
|
|
markov_model = train_markov_model(memory)
|
|
save_markov_model(markov_model)
|
|
|
|
await send_message(ctx, f"{get_translation(LOCALE, 'command_markov_retrain_successful').format(data_size=data_size)}", edit=True, message_reference=processing_message_ref)
|
|
|
|
@bot.hybrid_command(description=f"{get_translation(LOCALE, 'command_desc_talk')}")
|
|
async def talk(ctx, sentence_size: int = 5):
|
|
if not markov_model:
|
|
await send_message(ctx, f"{get_translation(LOCALE, 'command_talk_insufficent_text')}")
|
|
return
|
|
|
|
response = None
|
|
for _ in range(20):
|
|
if sentence_size == 1:
|
|
response = markov_model.make_short_sentence(max_chars=100, tries=100)
|
|
if response:
|
|
response = response.split()[0]
|
|
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 = re.sub(r'[^\w\s]', '', response).lower()
|
|
coherent_response = rephrase_for_coherence(cleaned_response)
|
|
if random.random() < 0.9 and is_positive(coherent_response):
|
|
gif_url = random.choice(positive_gifs)
|
|
combined_message = f"{coherent_response}\n[jif]({gif_url})"
|
|
else:
|
|
combined_message = coherent_response
|
|
print(combined_message)
|
|
os.environ['gooberlatestgen'] = combined_message
|
|
await send_message(ctx, combined_message)
|
|
else:
|
|
await send_message(ctx, f"{get_translation(LOCALE, 'command_talk_generation_fail')}")
|
|
|
|
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.hybrid_command(description=f"{get_translation(LOCALE, 'command_desc_help')}")
|
|
async def help(ctx):
|
|
embed = discord.Embed(
|
|
title=f"{get_translation(LOCALE, 'command_help_embed_title')}",
|
|
description=f"{get_translation(LOCALE, 'command_help_embed_desc')}",
|
|
color=discord.Color.blue()
|
|
)
|
|
|
|
command_categories = {
|
|
f"{get_translation(LOCALE, 'command_help_categories_general')}": ["mem", "talk", "about", "ping"],
|
|
f"{get_translation(LOCALE, 'command_help_categories_admin')}": ["stats", "retrain"]
|
|
}
|
|
|
|
custom_commands = []
|
|
for cog_name, cog in bot.cogs.items():
|
|
for command in cog.get_commands():
|
|
if command.name not in command_categories[f"{get_translation(LOCALE, 'command_help_categories_general')}"] and command.name not in command_categories[f"{get_translation(LOCALE, 'command_help_categories_admin')}"]:
|
|
custom_commands.append(command.name)
|
|
|
|
if custom_commands:
|
|
embed.add_field(name=f"{get_translation(LOCALE, '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 = "\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.event
|
|
async def on_message(message):
|
|
global memory, markov_model, last_random_talk_time
|
|
|
|
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}")):
|
|
print(f"{get_translation(LOCALE, '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 = append_mentions_to_18digit_integer(message.content)
|
|
cleaned_message = preprocess_message(formatted_message)
|
|
if cleaned_message:
|
|
memory.append(cleaned_message)
|
|
save_memory(memory)
|
|
|
|
# process any commands in the message
|
|
await bot.process_commands(message)
|
|
|
|
|
|
@bot.event
|
|
async def on_interaction(interaction):
|
|
print(f"{get_translation(LOCALE, 'command_ran_s').format(interaction=interaction)}{interaction.data['name']}")
|
|
|
|
@bot.check
|
|
async def block_blacklisted(ctx):
|
|
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("You are blacklisted.", ephemeral=True)
|
|
else:
|
|
await ctx.followup.send("You are blacklisted.", ephemeral=True)
|
|
else:
|
|
await ctx.send("You are blacklisted.", ephemeral=True)
|
|
except:
|
|
pass
|
|
return False
|
|
return True
|
|
|
|
@bot.hybrid_command(description=f"{get_translation(LOCALE, 'command_desc_ping')}")
|
|
async def ping(ctx):
|
|
await ctx.defer()
|
|
latency = round(bot.latency * 1000)
|
|
|
|
LOLembed = discord.Embed(
|
|
title="Pong!!",
|
|
description=(
|
|
f"{PING_LINE}\n"
|
|
f"`{get_translation(LOCALE, 'command_ping_embed_desc')}: {latency}ms`\n"
|
|
),
|
|
color=discord.Color.blue()
|
|
)
|
|
LOLembed.set_footer(text=f"{get_translation(LOCALE, 'command_ping_footer')} {ctx.author.name}", icon_url=ctx.author.avatar.url)
|
|
|
|
await ctx.send(embed=LOLembed)
|
|
|
|
@bot.hybrid_command(description=f"{get_translation(LOCALE, 'command_about_desc')}")
|
|
async def about(ctx):
|
|
print("-----------------------------------\n\n")
|
|
try:
|
|
check_for_update()
|
|
except Exception as e:
|
|
pass
|
|
print("-----------------------------------")
|
|
embed = discord.Embed(title=f"{get_translation(LOCALE, 'command_about_embed_title')}", description="", color=discord.Color.blue())
|
|
embed.add_field(name=f"{get_translation(LOCALE, 'command_about_embed_field1')}", value=f"{NAME}", inline=False)
|
|
embed.add_field(name=f"{get_translation(LOCALE, 'command_about_embed_field2name')}", value=f"{get_translation(LOCALE, 'command_about_embed_field2value').format(local_version=local_version, latest_version=latest_version)}", inline=False)
|
|
|
|
await send_message(ctx, embed=embed)
|
|
|
|
@bot.hybrid_command(description="stats")
|
|
async def stats(ctx):
|
|
if ctx.author.id != ownerid:
|
|
return
|
|
print("-----------------------------------\n\n")
|
|
try:
|
|
check_for_update()
|
|
except Exception as e:
|
|
pass
|
|
print("-----------------------------------")
|
|
memory_file = 'memory.json'
|
|
file_size = os.path.getsize(memory_file)
|
|
|
|
with open(memory_file, 'r') as file:
|
|
line_count = sum(1 for _ in file)
|
|
embed = discord.Embed(title=f"{get_translation(LOCALE, 'command_stats_embed_title')}", description=f"{get_translation(LOCALE, 'command_stats_embed_desc')}", color=discord.Color.blue())
|
|
embed.add_field(name=f"{get_translation(LOCALE, 'command_stats_embed_field1name')}", value=f"{get_translation(LOCALE, 'command_stats_embed_field1value').format(file_size=file_size, line_count=line_count)}", inline=False)
|
|
embed.add_field(name=f"{get_translation(LOCALE, 'command_stats_embed_field2name')}", value=f"{get_translation(LOCALE, 'command_stats_embed_field2value').format(local_version=local_version, latest_version=latest_version)}", inline=False)
|
|
embed.add_field(name=f"{get_translation(LOCALE, 'command_stats_embed_field3name')}", value=f"{get_translation(LOCALE, 'command_stats_embed_field3value').format(NAME=NAME, PREFIX=PREFIX, ownerid=ownerid, cooldown_time=cooldown_time, PING_LINE=PING_LINE, showmemenabled=showmemenabled, USERTRAIN_ENABLED=USERTRAIN_ENABLED, last_random_talk_time=last_random_talk_time, song=song, splashtext=splashtext)}", inline=False)
|
|
|
|
await send_message(ctx, embed=embed)
|
|
|
|
@bot.hybrid_command()
|
|
async def mem(ctx):
|
|
if showmemenabled != "true":
|
|
return
|
|
memory = load_memory()
|
|
memory_text = json.dumps(memory, indent=4)
|
|
with open(MEMORY_FILE, "r") as f:
|
|
await send_message(ctx, file=discord.File(f, MEMORY_FILE))
|
|
|
|
def improve_sentence_coherence(sentence):
|
|
sentence = sentence.replace(" i ", " I ")
|
|
return sentence
|
|
|
|
bot.run(TOKEN)
|