Try to make logging identify the actor consistently
[arvados.git] / services / nodemanager / arvnodeman / jobqueue.py
index 08ee12e1ade5947c4cb3d8759c36ae32692330af..87cf738311730feed045d23c63af6481c0731e06 100644 (file)
@@ -2,6 +2,8 @@
 
 from __future__ import absolute_import, print_function
 
+import logging
+
 from . import clientactor
 from .config import ARVADOS_ERRORS
 
@@ -28,6 +30,9 @@ class ServerCalculator(object):
                     raise ValueError("unrecognized size field '%s'" % (name,))
                 setattr(self, name, override)
 
+            if self.price is None:
+                raise ValueError("Required field 'price' is None")
+
         def meets_constraints(self, **kwargs):
             for name, want_value in kwargs.iteritems():
                 have_value = getattr(self, name)
@@ -36,11 +41,14 @@ class ServerCalculator(object):
             return True
 
 
-    def __init__(self, server_list, max_nodes=None):
+    def __init__(self, server_list, max_nodes=None, max_price=None):
         self.cloud_sizes = [self.CloudSizeWrapper(s, **kws)
                             for s, kws in server_list]
         self.cloud_sizes.sort(key=lambda s: s.price)
-        self.max_nodes = max_nodes or float("inf")
+        self.max_nodes = max_nodes or float('inf')
+        self.max_price = max_price or float('inf')
+        self.logger = logging.getLogger('arvnodeman.jobqueue')
+        self.logged_jobs = set()
 
     @staticmethod
     def coerce_int(x, fallback):
@@ -61,14 +69,29 @@ class ServerCalculator(object):
 
     def servers_for_queue(self, queue):
         servers = []
+        seen_jobs = set()
         for job in queue:
+            seen_jobs.add(job['uuid'])
             constraints = job['runtime_constraints']
-            want_count = self.coerce_int(constraints.get('min_nodes'), 1)
+            want_count = max(1, self.coerce_int(constraints.get('min_nodes'), 1))
             cloud_size = self.cloud_size_for_constraints(constraints)
-            if (want_count < self.max_nodes) and (cloud_size is not None):
-                servers.extend([cloud_size.real] * max(1, want_count))
+            if cloud_size is None:
+                if job['uuid'] not in self.logged_jobs:
+                    self.logged_jobs.add(job['uuid'])
+                    self.logger.debug("job %s not satisfiable", job['uuid'])
+            elif (want_count <= self.max_nodes) and (want_count*cloud_size.price <= self.max_price):
+                servers.extend([cloud_size.real] * want_count)
+        self.logged_jobs.intersection_update(seen_jobs)
         return servers
 
+    def cheapest_size(self):
+        return self.cloud_sizes[0]
+
+    def find_size(self, sizeid):
+        for s in self.cloud_sizes:
+            if s.id == sizeid:
+                return s
+        return None
 
 class JobQueueMonitorActor(clientactor.RemotePollLoopActor):
     """Actor to generate server wishlists from the job queue.
@@ -79,7 +102,6 @@ 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__(
@@ -91,6 +113,6 @@ class JobQueueMonitorActor(clientactor.RemotePollLoopActor):
 
     def _got_response(self, queue):
         server_list = self._calculator.servers_for_queue(queue)
-        self._logger.debug("Sending server wishlist: %s",
-                           ', '.join(s.name for s in server_list))
+        self._logger.debug("Calculated wishlist: %s",
+                           ', '.join(s.name for s in server_list) or "(empty)")
         return super(JobQueueMonitorActor, self)._got_response(server_list)