Improved mult-processing of mon-evaluator

[osm/MON.git] / osm_mon / evaluator / evaluator.py

diff --git a/osm_mon/evaluator/evaluator.py b/osm_mon/evaluator/evaluator.py
index 8d4c276..d8589bb 100644 (file)
--- a/osm_mon/evaluator/evaluator.py
+++ b/osm_mon/evaluator/evaluator.py
@@ -22,8 +22,8 @@
 ##
 import asyncio
 import logging
-import multiprocessing
 import time
+import concurrent.futures
 
 from osm_mon.core.config import Config
 from osm_mon.core.message_bus_client import MessageBusClient
@@ -56,22 +56,54 @@ class Evaluator:
     def evaluate(self):
         log.debug('evaluate')
         alarms_tuples = self.service.evaluate_alarms()
-        processes = []
-        for alarm, status in alarms_tuples:
-            p = multiprocessing.Process(target=self.notify_alarm,
-                                        args=(alarm, status))
-            p.start()
-            processes.append(p)
-        for process in processes:
-            process.join(timeout=10)
-
-    def notify_alarm(self, alarm: Alarm, status: AlarmStatus):
-        log.debug("notify_alarm")
-        resp_message = self._build_alarm_response(alarm, status)
+        # Starting evaluate executor pool with pool size process_pool_size. Default process_pool_size is 20
+        with concurrent.futures.ProcessPoolExecutor(self.conf.get('evaluator', 'process_pool_size')) as executor:
+            log.info('Started evaluate process pool with pool size %s' % (self.conf.get('evaluator',
+                                                                                        'process_pool_size')))
+            evaluate_futures = []
+            for alarm, status in alarms_tuples:
+                evaluate_futures.append(executor.submit(Evaluator._notify_alarm, self.conf, alarm, status))
+
+            try:
+                # Wait for future calls to complete till process_timeout. Default is 50 seconds
+                for evaluate_future in concurrent.futures.as_completed(evaluate_futures,
+                                                                       self.conf.get('evaluator', 'process_timeout')):
+                    result = evaluate_future.result(timeout=int(self.conf.get('evaluator',
+                                                                              'process_timeout')))
+                    log.debug('result = %s' % (result))
+            except concurrent.futures.TimeoutError as e:
+                # Some processes have not completed due to timeout error
+                log.info('Some processes have not finished due to TimeoutError exception')
+                log.debug('concurrent.futures.TimeoutError exception %s' % (e))
+                Evaluator._stop_process_pool(executor)
+
+    @staticmethod
+    def _stop_process_pool(executor):
+        log.debug("_stop_process_pool")
+        log.info('Stopping all processes in the process pool')
+        try:
+            for pid, process in executor._processes.items():
+                if process.is_alive():
+                    process.terminate()
+        except Exception as e:
+            log.info("Exception during process termination")
+            log.debug("Exception %s" % (e))
+        executor.shutdown()
+        return
+
+    @staticmethod
+    def _notify_alarm(conf: Config, alarm: Alarm, status: AlarmStatus):
+        log.debug("_notify_alarm")
+        resp_message = Evaluator._build_alarm_response(alarm, status)
+        msg_bus = MessageBusClient(conf)
+        loop = asyncio.get_event_loop()
         log.info("Sent alarm notification: %s", resp_message)
-        self.loop.run_until_complete(self.msg_bus.aiowrite('alarm_response', 'notify_alarm', resp_message))
+        loop.run_until_complete(msg_bus.aiowrite('alarm_response', 'notify_alarm', resp_message))
+        return
 
-    def _build_alarm_response(self, alarm: Alarm, status: AlarmStatus):
+    @staticmethod
+    def _build_alarm_response(alarm: Alarm, status: AlarmStatus):
+        log.debug("_build_alarm_response")
         response = ResponseBuilder()
         tags = {}
         for name, value in alarm.tags.items():