3 from __future__ import absolute_import, print_function
7 from . import clientactor
8 from .config import ARVADOS_ERRORS
10 class ServerCalculator(object):
11 """Generate cloud server wishlists from an Arvados job queue.
13 Instantiate this class with a list of cloud node sizes you're willing to
14 use, plus keyword overrides from the configuration. Then you can pass
15 job queues to servers_for_queue. It will return a list of node sizes
16 that would best satisfy the jobs, choosing the cheapest size that
17 satisfies each job, and ignoring jobs that can't be satisfied.
20 class CloudSizeWrapper(object):
21 def __init__(self, real_size, **kwargs):
23 for name in ['id', 'name', 'ram', 'disk', 'bandwidth', 'price',
25 setattr(self, name, getattr(self.real, name))
26 self.cores = kwargs.pop('cores')
27 self.scratch = self.disk
28 for name, override in kwargs.iteritems():
29 if not hasattr(self, name):
30 raise ValueError("unrecognized size field '%s'" % (name,))
31 setattr(self, name, override)
33 def meets_constraints(self, **kwargs):
34 for name, want_value in kwargs.iteritems():
35 have_value = getattr(self, name)
36 if (have_value != 0) and (have_value < want_value):
41 def __init__(self, server_list, max_nodes=None):
42 self.cloud_sizes = [self.CloudSizeWrapper(s, **kws)
43 for s, kws in server_list]
44 self.cloud_sizes.sort(key=lambda s: s.price)
45 self.max_nodes = max_nodes or float('inf')
46 self.logger = logging.getLogger('arvnodeman.jobqueue')
47 self.logged_jobs = set()
50 def coerce_int(x, fallback):
53 except (TypeError, ValueError):
56 def cloud_size_for_constraints(self, constraints):
57 want_value = lambda key: self.coerce_int(constraints.get(key), 0)
58 wants = {'cores': want_value('min_cores_per_node'),
59 'ram': want_value('min_ram_mb_per_node'),
60 'scratch': want_value('min_scratch_mb_per_node')}
61 for size in self.cloud_sizes:
62 if size.meets_constraints(**wants):
66 def servers_for_queue(self, queue):
70 seen_jobs.add(job['uuid'])
71 constraints = job['runtime_constraints']
72 want_count = self.coerce_int(constraints.get('min_nodes'), 1)
73 cloud_size = self.cloud_size_for_constraints(constraints)
74 if cloud_size is None:
75 if job['uuid'] not in self.logged_jobs:
76 self.logged_jobs.add(job['uuid'])
77 self.logger.debug("job %s not satisfiable", job['uuid'])
78 elif (want_count <= self.max_nodes):
79 servers.extend([cloud_size.real] * max(1, want_count))
80 self.logged_jobs.intersection_update(seen_jobs)
83 def cheapest_size(self):
84 return self.cloud_sizes[0]
87 class JobQueueMonitorActor(clientactor.RemotePollLoopActor):
88 """Actor to generate server wishlists from the job queue.
90 This actor regularly polls Arvados' job queue, and uses the provided
91 ServerCalculator to turn that into a list of requested node sizes. That
92 list is sent to subscribers on every poll.
95 CLIENT_ERRORS = ARVADOS_ERRORS
96 LOGGER_NAME = 'arvnodeman.jobqueue'
98 def __init__(self, client, timer_actor, server_calc, *args, **kwargs):
99 super(JobQueueMonitorActor, self).__init__(
100 client, timer_actor, *args, **kwargs)
101 self._calculator = server_calc
103 def _send_request(self):
104 return self._client.jobs().queue().execute()['items']
106 def _got_response(self, queue):
107 server_list = self._calculator.servers_for_queue(queue)
108 self._logger.debug("Sending server wishlist: %s",
109 ', '.join(s.name for s in server_list) or "(empty)")
110 return super(JobQueueMonitorActor, self)._got_response(server_list)