Initial commit: Miku Discord Bot

.bot.bak.80825/utils/kindness.py

@@ -0,0 +1,49 @@
+# utils/kindness.py
+
+import random
+import globals
+from utils.llm import query_ollama  # Adjust path as needed
+
+
+async def detect_and_react_to_kindness(message, after_reply=False):
+    if message.id in globals.kindness_reacted_messages:
+        return  # Already reacted — skip
+
+    content = message.content.lower()
+
+    emoji = random.choice(globals.HEART_REACTIONS)
+
+    # 1. Keyword-based detection
+    if any(keyword in content for keyword in globals.KINDNESS_KEYWORDS):
+        try:
+            await message.add_reaction(emoji)
+            globals.kindness_reacted_messages.add(message.id)
+            message.kindness_reacted = True  # Mark as done
+            print("✅ Kindness detected via keywords. Reacted immediately.")
+        except Exception as e:
+            print(f"⚠️ Error adding reaction: {e}")
+        return
+
+    # 2. If not after_reply, defer model-based check
+    if not after_reply:
+        print("🗝️ No kindness via keywords. Deferring...")
+        return
+
+    # 3. Model-based detection
+    try:
+        prompt = (
+            "The following message was sent to Miku the bot. "
+            "Does it sound like the user is being explicitly kind or affectionate toward Miku? "
+            "Answer with 'yes' or 'no' only.\n\n"
+            f"Message: \"{message.content}\""
+        )
+        result = await query_ollama(prompt, user_id="kindness-check")
+
+        if result.strip().lower().startswith("yes"):
+            await message.add_reaction(emoji)
+            globals.kindness_reacted_messages.add(message.id)
+            print("✅ Kindness detected via model. Reacted.")
+        else:
+            print("🧊 No kindness detected.")
+    except Exception as e:
+        print(f"⚠️ Error during kindness analysis: {e}")