feat: Implement comprehensive non-hierarchical logging system

- Created new logging infrastructure with per-component filtering
- Added 6 log levels: DEBUG, INFO, API, WARNING, ERROR, CRITICAL
- Implemented non-hierarchical level control (any combination can be enabled)
- Migrated 917 print() statements across 31 files to structured logging
- Created web UI (system.html) for runtime configuration with dark theme
- Added global level controls to enable/disable levels across all components
- Added timestamp format control (off/time/date/datetime options)
- Implemented log rotation (10MB per file, 5 backups)
- Added API endpoints for dynamic log configuration
- Configured HTTP request logging with filtering via api.requests component
- Intercepted APScheduler logs with proper formatting
- Fixed persistence paths to use /app/memory for Docker volume compatibility
- Fixed checkbox display bug in web UI (enabled_levels now properly shown)
- Changed System Settings button to open in same tab instead of new window

Components: bot, api, api.requests, autonomous, persona, vision, llm,
conversation, mood, dm, scheduled, gpu, media, server, commands,
sentiment, core, apscheduler

All settings persist across container restarts via JSON config.

bot/utils/kindness.py

@@ -3,6 +3,9 @@
 import random
 import globals
 from utils.llm import query_llama  # Adjust path as needed
+from utils.logger import get_logger
+
+logger = get_logger('bot')
 
 
 async def detect_and_react_to_kindness(message, after_reply=False, server_context=None):
@@ -19,14 +22,14 @@ async def detect_and_react_to_kindness(message, after_reply=False, server_contex
             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.")
+            logger.info("Kindness detected via keywords. Reacted immediately.")
         except Exception as e:
-            print(f"⚠️ Error adding reaction: {e}")
+            logger.error(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...")
+        logger.debug("No kindness via keywords. Deferring...")
         return
 
     # 3. Model-based detection
@@ -42,8 +45,8 @@ async def detect_and_react_to_kindness(message, after_reply=False, server_contex
         if result.strip().lower().startswith("yes"):
             await message.add_reaction(emoji)
             globals.kindness_reacted_messages.add(message.id)
-            print("✅ Kindness detected via model. Reacted.")
+            logger.info("Kindness detected via model. Reacted.")
         else:
-            print("🧊 No kindness detected.")
+            logger.debug("No kindness detected.")
     except Exception as e:
-        print(f"⚠️ Error during kindness analysis: {e}")
+        logger.error(f"Error during kindness analysis: {e}")