Added multiprocessing functions

pandora_server/extras/pandoraPlugintools/threads.py

@@ -1,6 +1,15 @@
 import sys
 from queue import Queue
 from threading import Thread
+from multiprocessing import Pool, Manager
+
+####
+# Define multi-processing internal global variables.
+#########################################################################################
+
+_manager = Manager()
+_shared_dict = _manager.dict()
+_shared_dict_lock = _manager.Lock()
 
 ####
 # Internal use only: Run a given function in a thread
@@ -26,7 +35,8 @@ def _single_thread(
 def run_threads(
         max_threads: int = 1,
         function: callable = None,
-        items: list = []
+        items: list = [],
+        print_errors: bool = False
     ) -> bool:
     """
     Run a given function for given items list in a given number of threads
@@ -74,8 +84,9 @@ def run_threads(
 
         q.join()
 
-        for error in errors:
+        if print_errors:
-            print(error,file=sys.stderr)
+            for error in errors:
+                print(error,file=sys.stderr)
 
         if len(errors) > 0:
             return False
@@ -83,5 +94,99 @@ def run_threads(
             return True
 
     except Exception as e:
-        print("Error while running threads: "+str(e)+"\n",file=sys.stderr)
+        if print_errors:
-        return False
+            print("Error while running threads: "+str(e)+"\n",file=sys.stderr)
+        return False
+
+####
+# Set a given value to a key in the internal shared dict.
+# Used by all parallel processes.
+#########################################################################################
+def set_shared_dict_value(
+        key: str = None,
+        value = None
+    ):
+    """
+    Set a given value to a key in the internal shared dict.
+    Used by all parallel processes.
+    """
+    global _shared_dict
+
+    if key is not None:
+        with _shared_dict_lock:
+            _shared_dict[key] = value
+
+####
+# Add a given value to a key in the internal shared dict.
+# Used by all parallel processes.
+#########################################################################################
+def add_shared_dict_value(
+        key: str = None,
+        value = None
+    ):
+    """
+    Add a given value to a key in the internal shared dict.
+    Used by all parallel processes.
+    """
+    global _shared_dict
+
+    if key is not None:
+        with _shared_dict_lock:
+            if key in _shared_dict:
+                _shared_dict[key] += value
+            else:
+                set_shared_dict_value(key, value)
+
+####
+# Get the value of a key in the internal shared dict.
+# Used by all parallel processes.
+#########################################################################################
+def get_shared_dict_value(
+        key: str = None
+    ):
+    """
+    Get the value of a key in the internal shared dict.
+    Used by all parallel processes.
+    """
+    global _shared_dict
+
+    with _shared_dict_lock:
+        if key in _shared_dict and key is not None:
+            return _shared_dict[key]
+        else:
+            return None
+
+####
+# Run a given function for given items list in a given number of processes
+# Given function receives each item as first parameter
+#########################################################################################
+def run_processes(
+        max_processes: int = 1,
+        function: callable = None,
+        items: list = [],
+        print_errors: bool = False
+    ) -> bool:
+    """
+    Run a given function for given items list in a given number of processes
+    """
+
+    # Assign processes
+    processes = max_processes
+
+    if processes > len(items):
+        processes = len(items)
+
+    if processes < 1:
+        processes = 1
+
+    # Run processes
+    with Pool(processes) as pool:
+        try:
+            pool.map(function, items)
+            result = True
+        except Exception as error:
+            if print_errors:
+                print(error,file=sys.stderr)
+            result = False
+
+    return result