bundled goober 0.0.5 in with default goober incase i dunno they want a small version of it

botminimal.py

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