You're the star of the show now baby!
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parent
d89a086420
commit
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2 changed files with 23 additions and 3 deletions
18
bot.py
18
bot.py
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@ -387,6 +387,24 @@ async def on_message(message: discord.Message) -> None:
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cleaned_message: str = preprocess_message(formatted_message)
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cleaned_message: str = preprocess_message(formatted_message)
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if cleaned_message:
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if cleaned_message:
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memory.append(cleaned_message)
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memory.append(cleaned_message)
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message_metadata = {
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"user_id": str(message.author.id),
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"user_name": str(message.author),
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"guild_id": str(message.guild.id) if message.guild else "DM",
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"guild_name": str(message.guild.name) if message.guild else "DM",
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"channel_id": str(message.channel.id),
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"channel_name": str(message.channel),
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"message": message.content,
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"timestamp": time.time()
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}
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try:
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if isinstance(memory, list):
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memory.append({"_meta": message_metadata})
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else:
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logger.warning("Memory is not a list; can't append metadata")
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except Exception as e:
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logger.warning(f"Failed to append metadata to memory: {e}")
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save_memory(memory)
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save_memory(memory)
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sentiment_score = is_positive(message.content) # doesnt work but im scared to change the logic now please ignore
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sentiment_score = is_positive(message.content) # doesnt work but im scared to change the logic now please ignore
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@ -34,13 +34,15 @@ def save_memory(memory):
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with open(MEMORY_FILE, "w") as f:
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with open(MEMORY_FILE, "w") as f:
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json.dump(memory, f, indent=4)
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json.dump(memory, f, indent=4)
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# Train a Markov model using memory and optional additional data
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def train_markov_model(memory, additional_data=None):
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def train_markov_model(memory, additional_data=None):
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if not memory:
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if not memory:
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return None
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return None
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text = "\n".join(memory)
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filtered_memory = [line for line in memory if isinstance(line, str)]
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if additional_data:
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if additional_data:
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text += "\n" + "\n".join(additional_data)
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filtered_memory.extend(line for line in additional_data if isinstance(line, str))
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if not filtered_memory:
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return None
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text = "\n".join(filtered_memory)
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model = markovify.NewlineText(text, state_size=2)
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model = markovify.NewlineText(text, state_size=2)
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return model
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return model
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