Finally got the memory thing under contril, I'm pretty sure.

bookstorm.py

@@ -817,15 +817,34 @@ class BookReader:
                         gc.collect()  # Full collection every 20 seconds
                     else:
                         gc.collect(generation=0)  # Fast collection every 10 seconds
+                    
                     # Memory watchdog: warn if exceeding 2GB (50% on Pi 4GB)
                     try:
                         import resource
                         # pylint: disable=no-member
                         memUsage = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss / 1024  # MB
-                        if memUsage > 2048 and not memoryWarningShown:
+                        
-                            memoryWarningShown = True
+                        # More aggressive memory warnings and cleanup
-                            self.speechEngine.speak("Warning: High memory usage detected. Consider restarting BookStorm soon.")
+                        if memUsage > 1536:  # 1.5GB threshold
-                    except:
+                            if not memoryWarningShown:
+                                print(f"Memory usage: {memUsage:.0f}MB - performing aggressive cleanup")
+                                # Force aggressive cleanup
+                                if hasattr(self, 'parser') and self.parser:
+                                    self.parser.cleanup()
+                                # Clear any cached pygame surfaces
+                                if hasattr(self, 'cachedSurfaces'):
+                                    for surfaceType, surface, position in self.cachedSurfaces:
+                                        del surface
+                                    self.cachedSurfaces.clear()
+                                # Additional garbage collection
+                                gc.collect()
+                                gc.collect()  # Second pass
+                                
+                            if memUsage > 2048 and not memoryWarningShown:
+                                memoryWarningShown = True
+                                self.speechEngine.speak("Warning: High memory usage detected. Consider restarting BookStorm soon.")
+                    except Exception as e:
+                        print(f"Memory monitoring error: {e}")
                         pass
                     gcCounter = 0
 

src/epub_parser.py

@@ -381,7 +381,56 @@ class EpubParser:
         return chapters
 
     def cleanup(self):
-        """Clean up temporary files"""
+        """Clean up temporary files and memory"""
+        try:
+            # Clear BeautifulSoup objects and other memory references
+            if hasattr(self, 'soup'):
+                del self.soup
+                self.soup = None
+            if hasattr(self, 'rootfile'):
+                del self.rootfile  
+                self.rootfile = None
+            if hasattr(self, 'metadataTag'):
+                del self.metadataTag
+                self.metadataTag = None
+            if hasattr(self, 'manifestTag'):
+                del self.manifestTag
+                self.manifestTag = None
+            if hasattr(self, 'spineTag'):
+                del self.spineTag
+                self.spineTag = None
+            if hasattr(self, 'tocNav'):
+                del self.tocNav
+                self.tocNav = None
+            if hasattr(self, 'navMap'):
+                del self.navMap
+                self.navMap = None
+            
+            # Clear book content and references
+            if self.book:
+                if hasattr(self.book, 'chapters'):
+                    for chapter in self.book.chapters:
+                        if hasattr(chapter, 'paragraphs'):
+                            chapter.paragraphs.clear()
+                    self.book.chapters.clear()
+                self.book = None
+            
+            # Clear dictionaries and lists
+            if hasattr(self, 'tocMap'):
+                self.tocMap.clear()
+            if hasattr(self, 'manifest'):
+                self.manifest.clear()
+            if hasattr(self, 'spine'):
+                self.spine.clear()
+            
+            # Force garbage collection
+            import gc
+            gc.collect()
+            
+        except Exception as e:
+            print(f"Warning: Error during memory cleanup: {e}")
+        
+        # Clean up temp directory
         if self.tempDir and Path(self.tempDir).exists():
             try:
                 shutil.rmtree(self.tempDir)

src/mpv_player.py

@@ -8,6 +8,8 @@ Supports real-time speed control without re-encoding.
 """
 
 import os
+import gc
+import time
 from pathlib import Path
 import threading
 from concurrent.futures import ThreadPoolExecutor
@@ -108,24 +110,46 @@ class MpvPlayer:
             if success:
                 success = self.play_audio_file()
 
-            # Schedule cleanup after mpv loads the file
+            # Schedule more aggressive cleanup with memory awareness
-            # Use ThreadPoolExecutor instead of daemon threads to prevent accumulation
             if tempFile:
                 import time
-                def cleanup_temp_file(filepath):
+                def cleanup_temp_file(filepath, file_size):
-                    time.sleep(2)  # mpv loads files quickly
+                    # Shorter delay for smaller files, longer for larger ones
+                    # Small files (<100KB): 0.5s delay
+                    # Medium files (100KB-1MB): 1s delay  
+                    # Large files (>1MB): 2s delay
+                    if file_size < 100 * 1024:
+                        delay = 0.5
+                    elif file_size < 1024 * 1024:
+                        delay = 1.0
+                    else:
+                        delay = 2.0
+                    
+                    time.sleep(delay)
                     try:
+                        # Force garbage collection after file deletion
                         os.unlink(filepath)
+                        import gc
+                        gc.collect()  # Help reclaim memory sooner
                     except:
                         pass
                     # Remove from active list
                     with self.tempFileLock:
                         try:
-                            self.activeTempFiles.remove(filepath)
+                            # Remove by path if stored as string
+                            if filepath in self.activeTempFiles:
+                                self.activeTempFiles.remove(filepath)
+                            else:
+                                # Remove by dict path if stored as dict
+                                for item in self.activeTempFiles:
+                                    if isinstance(item, dict) and item.get('path') == filepath:
+                                        self.activeTempFiles.remove(item)
+                                        break
                         except ValueError:
                             pass  # Already removed
-                # Use thread pool instead of creating new daemon threads
+                
-                self.cleanupExecutor.submit(cleanup_temp_file, tempFile.name)
+                # Use thread pool with file size for better memory management
+                self.cleanupExecutor.submit(cleanup_temp_file, tempFile.name, len(wavData))
 
             return success
 

src/tts_engine.py

@@ -59,7 +59,8 @@ class TtsEngine:
 
         # Safety: Limit text size to prevent excessive memory usage
         # ~10,000 chars = ~10-15 minutes of audio at normal reading speed
-        MAX_TEXT_LENGTH = 10000
+        # Reduced to 5000 to lower memory usage per paragraph
+        MAX_TEXT_LENGTH = 5000
         if len(text) > MAX_TEXT_LENGTH:
             print(f"Warning: Paragraph too long ({len(text)} chars), truncating to {MAX_TEXT_LENGTH}")
             text = text[:MAX_TEXT_LENGTH] + "..."