AJ Isaacs
431d63da72
1. Broader regex to strip leaked metadata even when the LLM drops the "Server context:" prefix but keeps the content. 2. Skip sentiment analysis for messages that mention or reply to the bot. Users interacting with the bot in roast/chat modes shouldn't have those messages inflate their drama score. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
299 lines
11 KiB
Python
299 lines
11 KiB
Python
import asyncio
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import logging
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import random
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import re
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from collections import deque
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from pathlib import Path
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import discord
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from discord.ext import commands
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logger = logging.getLogger("bcs.chat")
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_PROMPTS_DIR = Path(__file__).resolve().parent.parent / "prompts"
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SCOREBOARD_ROAST = (_PROMPTS_DIR / "scoreboard_roast.txt").read_text(encoding="utf-8")
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_IMAGE_TYPES = {"png", "jpg", "jpeg", "gif", "webp"}
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# Cache loaded prompt files so we don't re-read on every message
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_prompt_cache: dict[str, str] = {}
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def _load_prompt(filename: str) -> str:
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if filename not in _prompt_cache:
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_prompt_cache[filename] = (_PROMPTS_DIR / filename).read_text(encoding="utf-8")
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return _prompt_cache[filename]
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class ChatCog(commands.Cog):
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def __init__(self, bot: commands.Bot):
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self.bot = bot
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# Per-channel conversation history for the bot: {channel_id: deque of {role, content}}
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self._chat_history: dict[int, deque] = {}
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# Counter of messages seen since last proactive reply (per channel)
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self._messages_since_reply: dict[int, int] = {}
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def _get_active_prompt(self) -> str:
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"""Load the chat prompt for the current mode."""
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mode_config = self.bot.get_mode_config()
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prompt_file = mode_config.get("prompt_file", "chat_personality.txt")
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return _load_prompt(prompt_file)
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@commands.Cog.listener()
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async def on_message(self, message: discord.Message):
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if message.author.bot:
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return
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if not message.guild:
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return
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should_reply = False
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is_proactive = False
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reply_context = "" # Text of the message being replied to
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# Check if bot is @mentioned
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if self.bot.user in message.mentions:
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should_reply = True
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# Check if replying to one of the bot's messages
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if message.reference and message.reference.message_id:
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try:
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ref_msg = message.reference.cached_message
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if ref_msg is None:
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ref_msg = await message.channel.fetch_message(
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message.reference.message_id
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)
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if ref_msg.author.id == self.bot.user.id:
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should_reply = True
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if ref_msg.content:
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reply_context = f"[Replying to bot's message: {ref_msg.content[:300]}]\n"
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except discord.HTTPException:
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pass
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# Proactive reply check (only if not already replying to a mention/reply)
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if not should_reply:
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mode_config = self.bot.get_mode_config()
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if mode_config.get("proactive_replies", False):
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ch_id = message.channel.id
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self._messages_since_reply[ch_id] = self._messages_since_reply.get(ch_id, 0) + 1
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cooldown = self.bot.config.get("modes", {}).get("proactive_cooldown_messages", 5)
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reply_chance = mode_config.get("reply_chance", 0.0)
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if (
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self._messages_since_reply[ch_id] >= cooldown
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and reply_chance > 0
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and random.random() < reply_chance
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and message.content and message.content.strip()
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):
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should_reply = True
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is_proactive = True
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if not should_reply:
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return
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# Build conversation context
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ch_id = message.channel.id
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if ch_id not in self._chat_history:
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self._chat_history[ch_id] = deque(maxlen=10)
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# Clean the mention out of the message content
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content = message.content.replace(f"<@{self.bot.user.id}>", "").strip()
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# Check for image attachments
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image_attachment = None
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for att in message.attachments:
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ext = att.filename.rsplit(".", 1)[-1].lower() if "." in att.filename else ""
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if ext in _IMAGE_TYPES:
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image_attachment = att
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break
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typing_ctx = None
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async def start_typing():
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nonlocal typing_ctx
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typing_ctx = message.channel.typing()
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await typing_ctx.__aenter__()
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if image_attachment:
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# --- Image path: scoreboard roast ---
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image_bytes = await image_attachment.read()
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user_text = content if content else "Roast this scoreboard."
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logger.info(
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"Image roast request in #%s from %s (%s, %s)",
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message.channel.name,
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message.author.display_name,
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image_attachment.filename,
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user_text[:80],
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)
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response = await self.bot.llm_heavy.analyze_image(
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image_bytes,
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SCOREBOARD_ROAST,
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user_text=user_text,
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on_first_token=start_typing,
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)
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else:
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# --- Text-only path: normal chat ---
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if not content:
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content = "(just pinged me)" if not is_proactive else message.content
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# Add drama score context only when noteworthy
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drama_score = self.bot.drama_tracker.get_drama_score(message.author.id)
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user_data = self.bot.drama_tracker.get_user(message.author.id)
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context_parts = [f"#{message.channel.name}"]
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if drama_score >= 0.2:
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context_parts.append(f"drama score {drama_score:.2f}/1.0")
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if user_data.offense_count > 0:
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context_parts.append(f"{user_data.offense_count} offense(s)")
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score_context = f"[Server context: {message.author.display_name} — {', '.join(context_parts)}]"
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self._chat_history[ch_id].append(
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{"role": "user", "content": f"{score_context}\n{reply_context}{message.author.display_name}: {content}"}
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)
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active_prompt = self._get_active_prompt()
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response = await self.bot.llm.chat(
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list(self._chat_history[ch_id]),
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active_prompt,
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on_first_token=start_typing,
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)
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if typing_ctx:
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await typing_ctx.__aexit__(None, None, None)
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# Strip leaked metadata the LLM may echo back
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if response:
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response = re.sub(r"\[Server context:[^\]]*\]\n?", "", response)
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response = re.sub(r"\[Replying to bot's message:[^\]]*\]\n?", "", response)
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# Catch reformatted metadata (LLM drops prefix but keeps content)
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response = re.sub(r"\[[^\]]*#[a-z-]+[^\]]*(?:drama score|offense)[^\]]*\]\n?", "", response, flags=re.IGNORECASE)
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response = response.strip()
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if not response:
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log_channel = discord.utils.get(message.guild.text_channels, name="bcs-log")
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if log_channel:
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try:
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await log_channel.send(
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f"**LLM OFFLINE** | Failed to generate reply to "
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f"{message.author.mention} in #{message.channel.name}"
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)
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except discord.HTTPException:
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pass
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logger.warning("LLM returned no response for %s in #%s", message.author, message.channel.name)
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return
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if not image_attachment:
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self._chat_history[ch_id].append(
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{"role": "assistant", "content": response}
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)
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# Reset proactive cooldown counter for this channel
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if is_proactive:
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self._messages_since_reply[ch_id] = 0
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# Wait for any pending sentiment analysis to finish first so
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# warnings/mutes appear before the chat reply
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sentiment_cog = self.bot.get_cog("SentimentCog")
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if sentiment_cog:
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key = (message.channel.id, message.author.id)
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task = sentiment_cog._debounce_tasks.get(key)
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if task and not task.done():
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try:
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await asyncio.wait_for(asyncio.shield(task), timeout=15)
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except (asyncio.TimeoutError, asyncio.CancelledError):
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pass
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if is_proactive:
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await message.channel.send(response)
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else:
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await message.reply(response, mention_author=False)
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reply_type = "proactive" if is_proactive else "chat"
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logger.info(
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"%s reply in #%s to %s: %s",
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reply_type.capitalize(),
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message.channel.name,
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message.author.display_name,
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response[:100],
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)
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@commands.Cog.listener()
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async def on_raw_reaction_add(self, payload: discord.RawReactionActionEvent):
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# Ignore bot's own reactions
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if payload.user_id == self.bot.user.id:
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return
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# 50% chance to reply
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if random.random() > 0.50:
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return
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# Only react to reactions on the bot's own messages
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channel = self.bot.get_channel(payload.channel_id)
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if channel is None:
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return
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try:
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message = await channel.fetch_message(payload.message_id)
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except discord.HTTPException:
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return
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if message.author.id != self.bot.user.id:
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return
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# Get the user who reacted
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guild = self.bot.get_guild(payload.guild_id) if payload.guild_id else None
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if guild is None:
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return
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member = guild.get_member(payload.user_id)
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if member is None:
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return
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emoji = str(payload.emoji)
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# Build a one-shot prompt for the LLM
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ch_id = channel.id
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if ch_id not in self._chat_history:
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self._chat_history[ch_id] = deque(maxlen=10)
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context = (
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f"[Server context: {member.display_name} — #{channel.name}]\n"
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f"[{member.display_name} reacted to your message with {emoji}]\n"
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f"[Your message was: {message.content[:300]}]\n"
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f"{member.display_name}: *reacted {emoji}*"
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)
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self._chat_history[ch_id].append({"role": "user", "content": context})
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active_prompt = self._get_active_prompt()
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response = await self.bot.llm.chat(
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list(self._chat_history[ch_id]),
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active_prompt,
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)
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# Strip leaked metadata
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if response:
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response = re.sub(r"\[Server context:[^\]]*\]\n?", "", response)
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response = re.sub(r"\[.*?reacted to your message.*?\]\n?", "", response)
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response = re.sub(r"\[Your message was:.*?\]\n?", "", response)
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response = re.sub(r"\[[^\]]*#[a-z-]+[^\]]*(?:drama score|offense)[^\]]*\]\n?", "", response, flags=re.IGNORECASE)
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response = response.strip()
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if not response:
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return
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self._chat_history[ch_id].append({"role": "assistant", "content": response})
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await message.reply(response, mention_author=False)
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logger.info(
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"Reaction reply in #%s to %s (%s): %s",
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channel.name,
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member.display_name,
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emoji,
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response[:100],
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)
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async def setup(bot: commands.Bot):
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await bot.add_cog(ChatCog(bot))
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