utils.py

import os
import openai
import weaviate
from pymongo.mongo_client import MongoClient
from pymongo.server_api import ServerApi
import traceback
import logging
from discord.ext import commands
logging.basicConfig(filename='error_log.log', level=logging.ERROR)

# Replace these placeholders with your actual context processing logic
def process_os_context():
  try:
    os_context = '''"Role: OS
        ...
        fostering strategic choices, creativity, and collaborative experiences.
        "'''
    return os_context
  except Exception as e:
    traceback.print_exc()
    print("Error processing OS context:", str(e))

def process_hdd_context(query):
    try:
        weaviate_client = WeaviateClient()
        hdd_context = weaviate_client.search_data(query)
        return hdd_context
    except Exception as e:
        traceback.print_exc()
        print("Error processing HDD context:", str(e))


def process_ram_context():
  try:
    ram_context = "Summarize everything the user has said..."
    return ram_context
  except Exception as e:
    traceback.print_exc()
    print("Error processing RAM context:", str(e))


def process_user_context():
  try:
    user_context = "This is the core message..."
    return user_context
  except Exception as e:
    traceback.print_exc()
    print("Error processing user context:", str(e))


class WeaviateClient:

  def __init__(self):
    try:
      self.client = weaviate.Client(
          url=os.environ['WEAVIATE_ENDPOINT'],
          auth_client_secret=weaviate.AuthClientPassword(
              username=os.environ["WEAV_USER"],
              password=os.environ["WEAV_PASS"]
          )
      )

    except Exception as e:
      logging.error("Error initializing Weaviate client: %s",
                    str(e))  # Logging the error
      traceback.print_exc()

  def add_data(self, data):
    try:
      weaviate_data = {
          "class": "Message",
          "id": data["message_id"],
          "properties": {
              "username": data["username"],
              "message": data["message"],
              "timestamp": data["timestamp"],
              "channel_id": data["channel_id"],
              "server_id": data["server_id"],
              "reactions": data["reactions"],
              "attachments": data["attachments"],
              "embeds": data["embeds"],
              "mentioned_users": data["mentioned_users"]
          }
      }
      self.client.data_object.create(data_object=weaviate_data,
                                     class_name="Message")
    except Exception as e:
      logging.error("Error adding data to Weaviate: %s",
                    str(e))  # Logging the error
      traceback.print_exc()

  def search_data(self, query):
    try:
      pass
      return self.client.query.v1.query(query)
    except Exception as e:
      logging.error("Error searching data in Weaviate: %s",
                    str(e))  # Logging the error
      traceback.print_exc()


class OpenAI:

  def __init__(self):
    self.api_key = os.environ['OPENAI_KEY']
    openai.api_key = self.api_key
    self.weaviate_client = WeaviateClient()  # Initialize WeaviateClient object

  def generate_response(self, user_message):
    # Rest of the code remains the same

    system_message = '''Setting: Aqua Prime, a world where players dance with sand dollars, burn moonstones, and in Grumpy Cat's guise, master the dungeon's enigmatic embrace.'''

    try:
      # Invoke the spirit of Weaviate client
      weaviate_client = self.weaviate_client  # No longer a stranger, but an intimate friend

      uri = os.environ['MONGO_URI']
      mongo_client = MongoClient(uri)
      db = mongo_client['discord']
      messages_collection = db['messages']

      # Create a new client and connect to the server
      client = MongoClient(uri, server_api=ServerApi('1'))

      # Send a ping to confirm a successful connection
      try:
        client.admin.command('ping')
        print("Pinged your deployment. You successfully connected to MongoDB!")
      except Exception as e:
        traceback.print_exc()
        print(e)

      # Initialize OpenAI's whispered wisdom
      openai = OpenAI()

      @bot.event
      async def on_ready():
        print(f'Logged in as {bot.user.name}, the harbinger of virtual fate.')

      @bot.event
      async def on_message(message):
        try:
          if message.author == bot.user:
            return
          if bot.user.mentioned_in(message):
            user_id = str(message.author.id)
            # Retrieve memories from MongoDB
            past_messages = messages_collection.find({
                'channel_id':
                str(message.channel.id)
            }).sort('_id', -1).limit(5)
            ram_messages = " ".join(
                [past_message['message'] for past_message in past_messages])

            # Seek answers in Weaviate's arcane texts
            hdd_context = weaviate_client.search_data(ram_messages)

            # Forge the celestial prompt
            prompt = f"Role: System\nRole: HDD - {hdd_context}\nRole: RAM - {ram_messages}\nRole: User - {user_id}\n"

            # Converse with OpenAI's mystical oracle
            response = openai.generate_response(prompt)
            grumpycat_reply = response.strip()

            await message.channel.send(grumpycat_reply)

        except Exception as e:
          traceback.print_exc()
          print(f"An error occurred, a tempest in the code: {e}")

        await bot.process_commands(message)

      # Embark on the voyage with the bot
      bot_token = os.getenv("DISCORD_TOKEN")
      bot.run(bot_token)

    except Exception as e:
      traceback.print_exc()
      print(f"A celestial error occurred, a rift in the fabric of code: {e}")


# Call upon the energies to run the bot
def run_bot():
  try:
    bot = OpenAI()
    bot.generate_response("User message")
  except Exception as e:
    traceback.print_exc()
    print(f"An error occurred, a whisper in the void: {e}")


run_bot()