Try to fix file updates in progress

subgen.py

@@ -1,4 +1,4 @@
-subgen_version = '2025.02.59'
+subgen_version = '2025.02.60'
 
 from language_code import LanguageCode
 from datetime import datetime
@@ -121,20 +121,20 @@ model = None
 
 in_docker = os.path.exists('/.dockerenv')
 docker_status = "Docker" if in_docker else "Standalone"
-last_print_time = None
 
 class DeduplicatedQueue(queue.Queue):
-    """Queue that prevents duplicates in both queued and in-progress tasks."""
-    def __init__(self):
-        super().__init__()
-        self._queued = set()    # Tracks paths in the queue
-        self._processing = set()  # Tracks paths being processed
-        self._lock = Lock()     # Ensures thread safety
+    """Queue that prevents duplicates and tracks worker ID."""
+
+    def init(self):
+        super().init()
+        self._queued = set()
+        self._processing = {}  # Store processing tasks by path: {path: worker_id}
+        self._lock = threading.Lock()
 
     def put(self, item, block=True, timeout=None):
         with self._lock:
             path = item["path"]
-            if path not in self._queued and path not in self._processing:
+            if path not in self._queued : #and path not in self._processing:  # Check against the queue
                 super().put(item, block, timeout)
                 self._queued.add(path)
 
@@ -142,37 +142,35 @@ class DeduplicatedQueue(queue.Queue):
         item = super().get(block, timeout)
         with self._lock:
             path = item["path"]
-            self._queued.discard(path)  # Remove from queued set
-            self._processing.add(path)  # Mark as in-progress
+            self._queued.discard(path)
+            # Assuming each worker has a unique ID, you'd store the
+            # worker's ID here
+            worker_id = threading.get_ident()  # Get the thread ID
+            self._processing[path] = worker_id  # Store the worker's ID
         return item
 
     def task_done(self):
         super().task_done()
         with self._lock:
-            # Assumes task_done() is called after processing the item from get()
-            # If your workers process multiple items per get(), adjust logic here
+            # The processing is over
             if self.unfinished_tasks == 0:
-                self._processing.clear()  # Reset when all tasks are done
+                self._processing.clear() #Reset when all the tasks are done.
 
     def is_processing(self):
-        """Return True if any tasks are being processed."""
         with self._lock:
             return len(self._processing) > 0
 
     def is_idle(self):
-        """Return True if queue is empty AND no tasks are processing."""
         return self.empty() and not self.is_processing()
 
     def get_queued_tasks(self):
-        """Return a list of queued task paths."""
         with self._lock:
             return list(self._queued)
 
     def get_processing_tasks(self):
-        """Return a list of paths being processed."""
         with self._lock:
-            return list(self._processing)
-
+            return list(self._processing.keys()) # Return the list of paths, which is what we want.
+            
 #start queue
 task_queue = DeduplicatedQueue()
 
@@ -241,23 +239,34 @@ logging.getLogger("watchfiles").setLevel(logging.WARNING)
 logging.getLogger("asyncio").setLevel(logging.WARNING)
 
 #This forces a flush to print progress correctly
+global last_print_times  # Use a dictionary to store last_print_time per file
+last_print_times = {}  # Initialize it
+
 def progress(seek, total):
     sys.stdout.flush()
     sys.stderr.flush()
-    if(docker_status) == 'Docker':
-        global last_print_time
-        # Get the current time
+    if docker_status == 'Docker':
+        # Determine the file based on the worker's ID
+        worker_id = threading.get_ident()
+        processing_file = None
+        with task_queue._lock: # Access the queue safely
+            for path, worker in task_queue._processing.items():
+                if worker == worker_id:
+                    processing_file = path
+                    break
+
+        if processing_file is None:
+            # This can happen briefly as the task starts or finishes
+            # or if the process is somehow inconsistent.
+            return
+
+        if processing_file not in last_print_times:
+            last_print_times[processing_file] = None
         current_time = time.time()
-    
-        # Check if 5 seconds have passed since the last print
-        if last_print_time is None or (current_time - last_print_time) >= 5:
-            # Update the last print time
-            last_print_time = current_time
-            # Log the message
+        if (last_print_times[processing_file] is None or (current_time - last_print_times[processing_file]) >= 5):
+            last_print_times[processing_file] = current_time
             logging.info("")
-            if concurrent_transcriptions == 1:
-                processing = task_queue.get_processing_tasks()[0]
-                logging.debug(f"Processing file: {processing}")
+            logging.debug(f"Processing file: {processing_file}") # Use the derived file path
 
 TIME_OFFSET = 5