Dedicated process for file parsing

vspursuer.py

@@ -43,7 +43,7 @@ def has_vsp_plus_model(model, impfunction, mconjunction, mdisjunction, mnegation
     vsp_result = has_vsp(model, impfunction, mconjunction, mdisjunction, mnegation)
     return (model, vsp_result)
 
-def worker(task_queue, result_queue):
+def worker_vsp(task_queue, result_queue):
     """
     Worker process which processes models from the task
     queue and adds the result to the result_queue.
@@ -56,32 +56,39 @@ def worker(task_queue, result_queue):
             task = task_queue.get()
             # If sentinal value, break
             if task is None:
-                result_queue.put(None)
                 break
             (model, impfunction, mconjunction, mdisjunction, mnegation) = task
             result = has_vsp_plus_model(model, impfunction, mconjunction, mdisjunction, mnegation)
             result_queue.put(result)
-    except Exception:
+    finally:
-        # Process failed somehow, push sentinal value
+        # Either an exception occured or the worker finished
+        # Push sentinal value
         result_queue.put(None)
 
-def add_to_queue(gen, queue, num_sentinal_values) -> bool:
+def worker_parser(data_file_path, num_sentinal_values, task_queue):
     """
-    Consumes an item from gen and puts
+    Function which parses the MaGIC file
-    it in the queue.
+    and adds models to the task_queue.
 
-    If there are no items left in gen,
+    Intended to be deployed with a dedicated process.
-    return false and send sentinal values,
-    otherwise true.
     """
     try:
-        item = next(gen)
+        data_file = open(data_file_path, "r")
-        queue.put(item)
+        solutions = parse_matrices(SourceFile(data_file))
-        return True
+        solutions = restructure_solutions(solutions, args)
-    except StopIteration:
+
+        while True:
+            try:
+                item = next(solutions)
+                task_queue.put(item)
+            except StopIteration:
+                break
+    finally:
+        data_file.close()
         for _ in range(num_sentinal_values):
-            queue.put(None)
+            task_queue.put(None)
-        return False
+
+
 
 
 if __name__ == "__main__":
@@ -96,10 +103,6 @@ if __name__ == "__main__":
     if data_file_path is None:
         data_file_path = input("Path to MaGIC Ugly Data File: ")
 
-    data_file = open(data_file_path, "r")
-
-    solutions = parse_matrices(SourceFile(data_file))
-    solutions = restructure_solutions(solutions, args)
 
     num_cpu = args.get("c")
     if num_cpu is None:
@@ -108,27 +111,23 @@ if __name__ == "__main__":
     # Set up parallel verification
     num_tested = 0
     num_has_vsp = 0
+    num_workers = max(num_cpu - 1, 1)
 
     # Create queues
-    task_queue = mp.Queue()
+    task_queue = mp.Queue(maxsize=1000)
     result_queue = mp.Queue()
 
-    # Create worker processes
+    # Create dedicated process to parse the MaGIC file
-    processes = []
+    process_parser = mp.Process(target=worker_parser, args=(data_file_path, num_workers, task_queue))
-    for _ in range(num_cpu):
+    process_parser.start()
-        p = mp.Process(target=worker, args=(task_queue, result_queue))
+
-        processes.append(p)
+    # Create dedicated processes which check VSP
+    process_workers = []
+    for _ in range(num_workers):
+        p = mp.Process(target=worker_vsp, args=(task_queue, result_queue))
+        process_workers.append(p)
         p.start()
 
-    # Populate initial task queue
-    # NOTE: Adding more than number of processes
-    # to make sure there's always work to do.
-    done_parsing = False
-    for _ in range(num_cpu * 2):
-        added = add_to_queue(solutions, task_queue, num_cpu)
-        if not added:
-            done_parsing = True
-            break
 
     # Check results and add new tasks until finished
     result_sentinal_count = 0
@@ -138,24 +137,32 @@ if __name__ == "__main__":
         try:
             result = result_queue.get(True, 60)
         except QueueEmpty:
-            # Health check in case processes crashed
+            if all((not p.is_alive() for p in process_workers)):
-            num_dead = 0
+                # All workers finished without us receiving all the
-            for p in processes:
+                # sentinal values.
-                if not p.is_alive():
-                    num_dead += 1
-            if num_dead == len(processes):
-                print("[ERROR] No child processes remain")
                 break
-            elif num_dead > 0:
+
-                print("[WARNING] Number of dead processes:", num_dead)
+            task_queue_size = 0
-            # Otherwise continue
+            try:
-            continue
+                task_queue_size = task_queue.qsize()
+            except NotImplementedError:
+                # MacOS doesn't implement this
+                pass
+
+            if task_queue_size == 0 and not process_parser.is_alive():
+                # For Linux/Windows this means that the process_parser
+                # died before sending the sentinal values.
+                # For Mac, this doesn't guarentee anything but might
+                # as well push more sentinal values.
+                for _ in range(num_workers):
+                    task_queue.put(None)
+
 
         # When we receive None, it means a child process has finished
         if result is None:
             result_sentinal_count += 1
             # If all workers have finished break
-            if result_sentinal_count == num_cpu:
+            if result_sentinal_count == len(process_workers):
                 break
             continue
 
@@ -170,29 +177,7 @@ if __name__ == "__main__":
         if vsp_result.has_vsp:
             num_has_vsp += 1
 
-        # Submit new task if available
-        if done_parsing:
-            continue
-
-        # NOTE: We should attempt to maintain a decent amount
-        # of work in the task queue so that workers stay busy
-        task_queue_size: Optional[int] = None
-        try:
-            task_queue_size = task_queue.qsize()
-        except NotImplementedError:
-            # On MacOS this isn't implemented
-            pass
-
-        num_new_tasks = 1
-        if task_queue_size is not None and task_queue_size < num_cpu * 2:
-            num_new_tasks = (num_cpu * 2) - task_queue_size
-
-        for _ in range(num_new_tasks):
-            added = add_to_queue(solutions, task_queue, num_cpu)
-            if not added:
-                done_parsing = True
-                break
 
     print(f"Tested {num_tested} models, {num_has_vsp} of which satisfy VSP")
 
-    data_file.close()
+