Add scoreboard roast feature via image analysis

When @mentioned with an image attachment, the bot now roasts players
based on scoreboard screenshots using the vision model. Text-only
mentions continue to work as before.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
2026-02-21 16:30:26 -05:00
parent cf88f003ba
commit e41845de02
3 changed files with 117 additions and 22 deletions

View File

@@ -9,6 +9,9 @@ logger = logging.getLogger("bcs.chat")
_PROMPTS_DIR = Path(__file__).resolve().parent.parent / "prompts"
CHAT_PERSONALITY = (_PROMPTS_DIR / "chat_personality.txt").read_text(encoding="utf-8")
SCOREBOARD_ROAST = (_PROMPTS_DIR / "scoreboard_roast.txt").read_text(encoding="utf-8")
_IMAGE_TYPES = {"png", "jpg", "jpeg", "gif", "webp"}
class ChatCog(commands.Cog):
@@ -54,21 +57,14 @@ class ChatCog(commands.Cog):
# Clean the mention out of the message content
content = message.content.replace(f"<@{self.bot.user.id}>", "").strip()
if not content:
content = "(just pinged me)"
# Add drama score context to the user message
drama_score = self.bot.drama_tracker.get_drama_score(message.author.id)
user_data = self.bot.drama_tracker.get_user(message.author.id)
score_context = (
f"[Server context: {message.author.display_name} has a drama score of "
f"{drama_score:.2f}/1.0 and {user_data.offense_count} offenses. "
f"They are talking in #{message.channel.name}.]"
)
self._chat_history[ch_id].append(
{"role": "user", "content": f"{score_context}\n{message.author.display_name}: {content}"}
)
# Check for image attachments
image_attachment = None
for att in message.attachments:
ext = att.filename.rsplit(".", 1)[-1].lower() if "." in att.filename else ""
if ext in _IMAGE_TYPES:
image_attachment = att
break
typing_ctx = None
@@ -77,11 +73,46 @@ class ChatCog(commands.Cog):
typing_ctx = message.channel.typing()
await typing_ctx.__aenter__()
response = await self.bot.llm.chat(
list(self._chat_history[ch_id]),
CHAT_PERSONALITY,
on_first_token=start_typing,
)
if image_attachment:
# --- Image path: scoreboard roast ---
image_bytes = await image_attachment.read()
user_text = content if content else "Roast this scoreboard."
logger.info(
"Image roast request in #%s from %s (%s, %s)",
message.channel.name,
message.author.display_name,
image_attachment.filename,
user_text[:80],
)
response = await self.bot.llm.analyze_image(
image_bytes,
SCOREBOARD_ROAST,
user_text=user_text,
on_first_token=start_typing,
)
else:
# --- Text-only path: normal chat ---
if not content:
content = "(just pinged me)"
# Add drama score context to the user message
drama_score = self.bot.drama_tracker.get_drama_score(message.author.id)
user_data = self.bot.drama_tracker.get_user(message.author.id)
score_context = (
f"[Server context: {message.author.display_name} has a drama score of "
f"{drama_score:.2f}/1.0 and {user_data.offense_count} offenses. "
f"They are talking in #{message.channel.name}.]"
)
self._chat_history[ch_id].append(
{"role": "user", "content": f"{score_context}\n{message.author.display_name}: {content}"}
)
response = await self.bot.llm.chat(
list(self._chat_history[ch_id]),
CHAT_PERSONALITY,
on_first_token=start_typing,
)
if typing_ctx:
await typing_ctx.__aexit__(None, None, None)
@@ -89,9 +120,10 @@ class ChatCog(commands.Cog):
if response is None:
response = "I'd roast you but my brain is offline. Try again later."
self._chat_history[ch_id].append(
{"role": "assistant", "content": response}
)
if not image_attachment:
self._chat_history[ch_id].append(
{"role": "assistant", "content": response}
)
await message.reply(response, mention_author=False)
logger.info(