Merge branch '11221-always-restart-services'
[arvados.git] / services / nodemanager / arvnodeman / jobqueue.py
index e0f0a5b1ec26045745fe479f76b8614eb700875d..f6e9249ebb812b3e33610479d28dd27f28c000fe 100644 (file)
@@ -3,6 +3,7 @@
 from __future__ import absolute_import, print_function
 
 import logging
+import subprocess
 
 from . import clientactor
 from .config import ARVADOS_ERRORS
@@ -18,13 +19,14 @@ class ServerCalculator(object):
     """
 
     class CloudSizeWrapper(object):
-        def __init__(self, real_size, **kwargs):
+        def __init__(self, real_size, node_mem_scaling, **kwargs):
             self.real = real_size
             for name in ['id', 'name', 'ram', 'disk', 'bandwidth', 'price',
                          'extra']:
                 setattr(self, name, getattr(self.real, name))
             self.cores = kwargs.pop('cores')
             self.scratch = self.disk
+            self.ram = int(self.ram * node_mem_scaling)
             for name, override in kwargs.iteritems():
                 if not hasattr(self, name):
                     raise ValueError("unrecognized size field '%s'" % (name,))
@@ -41,8 +43,9 @@ class ServerCalculator(object):
             return True
 
 
-    def __init__(self, server_list, max_nodes=None, max_price=None):
-        self.cloud_sizes = [self.CloudSizeWrapper(s, **kws)
+    def __init__(self, server_list, max_nodes=None, max_price=None,
+                 node_mem_scaling=0.95):
+        self.cloud_sizes = [self.CloudSizeWrapper(s, node_mem_scaling, **kws)
                             for s, kws in server_list]
         self.cloud_sizes.sort(key=lambda s: s.price)
         self.max_nodes = max_nodes or float('inf')
@@ -102,7 +105,6 @@ class JobQueueMonitorActor(clientactor.RemotePollLoopActor):
     """
 
     CLIENT_ERRORS = ARVADOS_ERRORS
-    LOGGER_NAME = 'arvnodeman.jobqueue'
 
     def __init__(self, client, timer_actor, server_calc, *args, **kwargs):
         super(JobQueueMonitorActor, self).__init__(
@@ -110,10 +112,27 @@ class JobQueueMonitorActor(clientactor.RemotePollLoopActor):
         self._calculator = server_calc
 
     def _send_request(self):
-        return self._client.jobs().queue().execute()['items']
+        # cpus, memory, tempory disk space, reason, job name
+        squeue_out = subprocess.check_output(["squeue", "--state=PENDING", "--noheader", "--format=%c %m %d %r %j"])
+        queuelist = []
+        for out in squeue_out.splitlines():
+            cpu, ram, disk, reason, jobname = out.split(" ", 4)
+            if reason in ("Resources", "ReqNodeNotAvail"):
+                queuelist.append({
+                    "uuid": jobname,
+                    "runtime_constraints": {
+                        "min_cores_per_node": cpu,
+                        "min_ram_mb_per_node": ram,
+                        "min_scratch_mb_per_node": disk
+                    }
+                })
+
+        queuelist.extend(self._client.jobs().queue().execute()['items'])
+
+        return queuelist
 
     def _got_response(self, queue):
         server_list = self._calculator.servers_for_queue(queue)
-        self._logger.debug("Sending server wishlist: %s",
+        self._logger.debug("Calculated wishlist: %s",
                            ', '.join(s.name for s in server_list) or "(empty)")
         return super(JobQueueMonitorActor, self)._got_response(server_list)