.

.env.ini

@@ -1 +1 @@
-DISCORD_TOKEN_CHATTER=MTMzODQ4NTY2MzY3MDA3OTQ4OA.GbLJQg.BB2iExwzma7AvJ2vlybg8cAcAsheGWfU0Ker4M
+DISCORD_TOKEN_CHATTER='MTMzODQ4NTY2MzY3MDA3OTQ4OA.GbLJQg.BB2iExwzma7AvJ2vlybg8cAcAsheGWfU0Ker4M'

.gitignore

@@ -1,4 +1,15 @@
-/.idea/
-/.Chatter/
+./.idea/
+P:/AiderDev/.idea
+./.chatter/
+
 .aider*
-.env
+.env.ini
+/.idea/.gitignore
+/.idea/AiderProjectSettings.xml
+/.idea/Chatter.iml
+/.idea/encodings.xml
+/.idea/misc.xml
+/.idea/modules.xml
+/.idea/inspectionProfiles/profiles_settings.xml
+/.idea/inspectionProfiles/Project_Default.xml
+/.idea/vcs.xml

app.py

@@ -95,7 +95,10 @@ async def on_ready():
 
 import os
 from dotenv import load_dotenv
-load_dotenv()
-DISCORD_TOKEN_CHATTER = str(os.getenv("DISCORD_TOKEN_CHATTER"))
+env_path = os.path.join(os.path.dirname(__file__), ".env.ini")
+load_dotenv(env_path)
+str(os.getenv("DISCORD_TOKEN_CHATTER"))
+print(str(os.getenv("DISCORD_TOKEN_CHATTER")))
 
-bot.run(DISCORD_TOKEN_CHATTER)
+
+#bot.run(DISCORD_TOKEN_CHATTER)

project_structure_plan.md

@@ -0,0 +1,329 @@
+
+                                         1. Project Structure
+
+First, let's organize the project into logical modules. Here's a suggested directory structure:
+
+
+ Chatter/
+ ├── .gitignore
+ ├── .env
+ ├── requirements.txt
+ ├── app.py
+ ├── ChatAI/
+ │   ├── chat_ai.py
+ │   └── __init__.py
+ ├── core/
+ │   ├── __init__.py
+ │   ├── bot.py
+ │   │   └── __init__.py
+ │   ├── message_handler.py
+ │   └── __init__.py
+ ├── logging/
+ │   ├── __init__.py
+ │   └── handlers.py
+ ├── utils/
+ │   ├── __init__.py
+ │   ├── constants.py
+ │   └── decorators.py
+ └── .env.local
+
+
+                                        2. Move Code to Modules
+
+Let's break down the existing code into these modules:
+
+                                            a) core/bot.py
+
+Move the bot initialization, command setup, and basic functionality here.
+
+
+ import commands
+ from .message_handler import on_message, respond_to_chat
+ from .utils import split_string, generate, generate_response
+
+ bot = commands.Bot(command_prefix="!")
+
+ def setup_commands():
+     # Command definitions
+     pass
+
+ async def on_ready():
+     print(f'Logged in as {bot.user}')
+     # Initialize channels and message counts
+     pass
+
+ @bot.event
+ async def on_message(message):
+     # Verification logic
+     pass
+
+ @bot.event
+ async def on_ready():
+     # Bot initialization and setup
+     pass
+
+ # Initialize message counts and channels
+ message_counts = {}
+ channel = get_default_channel()
+
+
+                                      b) core/message_handler.py
+
+Move the message handling logic here.
+
+
+ import discord
+ from .utils import split_string, generate, generate_response
+
+ @bot.event
+ async def on_message(message):
+     guild = message.guild
+     channel = get_default_channel()
+
+     if message.channel != channel or message.author.bot:
+         return
+
+     if message.channel.id not in message_counts:
+         message_counts[message.channel.id] = 0
+
+     message_counts[message.channel.id] += 1
+     print(message_counts[message.channel.id])
+
+     await respond_to_chat(message.content)
+
+     if message_counts[message.channel.id] >= 10:
+         messages = [message.content]
+         # Get previous messages from history
+         async for msg in channel.history(limit=10):
+             messages.append(msg.content)
+         messages = "\n".join(messages)
+         await respond_to_chat(messages)
+         message_counts[message.channel.id] = 0
+
+ async def respond_to_chat(content: str) -> str:
+     response = generate(content)
+     parts = split_string(response)
+     # Send parts to channel
+     await send_split_message(parts, channel)
+     return "\n".join(parts)
+
+ def split_string(text: str) -> list[str]:
+     return [text[i:i+1900] for i in range(0, len(text), 1900)]
+
+ def generate(
+     prompt, temperature=0.0, max_new_tokens=2048, top_p=0.95, repetition_penalty=1.0
+ ):
+     # Use MistralAI model
+     pass
+
+ def generate_response(prompt):
+     # Use MistralAI model
+     pass
+
+ async def send_split_message(parts, channel):
+     for part in parts:
+         await channel.send(part)
+
+
+                                           c) core/utils.py
+
+Move the utility functions here.
+
+
+ import os
+ from huggingface_hub import InferenceClient
+
+ def split_string(text: str) -> list[str]:
+     """Helper function to split text into chunks"""
+     return [text[i:i+1900] for i in range(0, len(text), 1900)]
+
+ def generate(
+     prompt, temperature=0.0, max_new_tokens=2048, top_p=0.95, repetition_penalty=1.0
+ ):
+     """Generate response using MistralAI model"""
+     if temperature == 0.0:
+         temperature = random.uniform(1e-2, 0.9)
+     temperature = float(temperature)
+
+     top_p = float(top_p)
+
+     generate_kwargs = dict(
+         temperature=temperature,
+         max_new_tokens=max_new_tokens,
+         top_p=top_p,
+         repetition_penalty=repetition_penalty,
+         do_sample=True,
+         seed=42,
+     )
+
+     return ai.text_generation(prompt, **generate_kwargs, stream=False, details=False,
+ return_full_text=True)
+
+ def generate_response(prompt):
+     """Generate and format response"""
+     response = generate(prompt)
+     formatted_response = "\n".join(response)
+     return formatted_response
+
+ def get_default_channel():
+     return discord.utils.get(guild.channels, name="PrzebieralniaKoedukacyjna")
+
+
+                                         d) ChatAI/chat_ai.py
+
+Move the AI configuration here.
+
+
+ from huggingface_hub import InferenceClient
+
+ class ChatAI:
+     def __init__(self):
+         self.pipe = InferenceClient("mistralai/Mistral-7B-Instruct-v0.3")
+
+     async def generate(self, prompt):
+         return self.pipe.generate(prompt)
+
+
+                                       3. Dependency Management
+
+Update the requirements.txt to use a modern package manager like Poetry:
+
+requirements.txt
+
+
+ <<<<<<< SEARCH
+ transformers
+ huggingface_hub==0.25.2
+ discord.py~=2.4.0
+ discord~=2.3.2
+ torch
+ six
+ python-dotenv~=1.0.1
+ huggingface-hub~=0.25.2
+ =======
+ discord~=2.4.0
+ discord.py~=2.4.0
+ transformers
+ huggingface_hub>=0.25.0
+ torch
+ six
+ python-dotenv>=1.0.0
+ poetry
+ >>>>>>> REPLACE
+
+
+Run:
+
+
+ poetry install
+
+
+                                            4. Add Logging
+
+Create a logging module:
+
+utils/logging.py
+
+
+ import logging
+ from datetime import datetime
+
+ logging.basicConfig(
+     level=logging.INFO,
+     format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
+     handlers=[logging.FileHandler('chat.log')]
+ )
+
+ logger = logging.getLogger(__name__)
+
+
+                                         5. Initialize the Bot
+
+Create a main.py to initialize and run the bot:
+
+main.py
+
+
+ from core.bot import commands
+ from core.message_handler import on_ready, on_message, respond_to_chat
+ from core.utils import split_string, generate, generate_response
+ from ChatAI.chat_ai import ChatAI
+ import logging
+
+ # Initialize logging
+ logging.basicConfig(
+     level=logging.INFO,
+     format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
+     handlers=[logging.FileHandler('chat.log')]
+ )
+
+ logger = logging.getLogger(__name__)
+
+ # Initialize bot
+ bot = commands.Bot(command_prefix="!")
+
+ # Initialize AI
+ ai = ChatAI()
+
+ # Initialize message handler
+ async def setup():
+     logger.info("Initializing bot and message handler")
+     await on_ready()
+     logger.info("Bot initialized")
+
+ async def run_bot():
+     try:
+         await setup()
+         logger.info("Bot running...")
+         while True:
+             await bot.process_commands()
+     except Exception as e:
+         logger.error(f"Error in bot loop: {str(e)}")
+         logger.info("Bot shutdown")
+     finally:
+         logger.info("Bot shutdown complete")
+
+ if __name__ == "__main__":
+     try:
+         logger.info("Starting bot")
+         await bot.start(DISCORD_TOKEN_CHATTER)
+         logger.info("Bot running")
+     except Exception as e:
+         logger.error(f"Error starting bot: {str(e)}")
+         logger.info("Bot shutdown")
+
+
+                                              6. Testing
+
+Add tests to ensure the bot works as expected.
+
+tests/ ├── .gitignore ├── test_message_handler.py └── test_chat_ai.py
+
+                                             7. Deployment
+
+For production, consider:
+
+ • Using a server (like Heroku or Railway)
+ • Implementing proper security
+ • Adding monitoring
+ • Implementing rate limiting
+
+                                           8. Documentation
+
+Add documentation to your project for future developers.
+
+                                          9. Deployment Setup
+
+Set up a deployment environment with:
+
+
+ poetry run --build
+
+
+Then deploy to your chosen platform.
+
+                                                Summary
+
+This structured approach organizes the project into modular components, manages dependencies
+effectively, and provides logging and error handling for reliability. By following these steps, you'll
+have a maintainable, scalable, and robust project structure.