import logging
import subprocess
+import arvados.util
+
from . import clientactor
from .config import ARVADOS_ERRORS
+
class ServerCalculator(object):
"""Generate cloud server wishlists from an Arvados job queue.
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()
self.logger.info("Using cloud node sizes:")
for s in self.cloud_sizes:
def servers_for_queue(self, queue):
servers = []
- seen_jobs = set()
+ unsatisfiable_jobs = {}
for job in queue:
- seen_jobs.add(job['uuid'])
constraints = job['runtime_constraints']
want_count = max(1, self.coerce_int(constraints.get('min_nodes'), 1))
cloud_size = self.cloud_size_for_constraints(constraints)
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):
+ unsatisfiable_jobs[job['uuid']] = (
+ 'Requirements for a single node exceed the available '
+ 'cloud node size')
+ elif (want_count > self.max_nodes):
+ unsatisfiable_jobs[job['uuid']] = (
+ "Job's min_nodes constraint is greater than the configured "
+ "max_nodes (%d)" % self.max_nodes)
+ elif (want_count*cloud_size.price <= self.max_price):
servers.extend([cloud_size.real] * want_count)
- self.logged_jobs.intersection_update(seen_jobs)
- return servers
+ else:
+ unsatisfiable_jobs[job['uuid']] = (
+ "Job's price (%d) is above system's max_price "
+ "limit (%d)" % (want_count*cloud_size.price, self.max_price))
+ return (servers, unsatisfiable_jobs)
def cheapest_size(self):
return self.cloud_sizes[0]
return s
return None
+
class JobQueueMonitorActor(clientactor.RemotePollLoopActor):
"""Actor to generate server wishlists from the job queue.
for out in squeue_out.splitlines():
try:
cpu, ram, disk, reason, jobname = out.split("|", 4)
- if ("ReqNodeNotAvail" in reason) or ("Resources" in reason):
+ if ("ReqNodeNotAvail" in reason) or ("Resources" in reason) or ("Priority" in reason):
queuelist.append({
"uuid": jobname,
"runtime_constraints": {
return queuelist
def _got_response(self, queue):
- server_list = self._calculator.servers_for_queue(queue)
+ server_list, unsatisfiable_jobs = self._calculator.servers_for_queue(queue)
+ # Cancel any job/container with unsatisfiable requirements, emitting
+ # a log explaining why.
+ for job_uuid, reason in unsatisfiable_jobs.iteritems():
+ try:
+ self._client.logs().create(body={
+ 'object_uuid': job_uuid,
+ 'event_type': 'stderr',
+ 'properties': {'text': reason},
+ }).execute()
+ # Cancel the job depending on its type
+ if arvados.util.container_uuid_pattern.match(job_uuid):
+ subprocess.check_call(['scancel', '--name='+job_uuid])
+ elif arvados.util.job_uuid_pattern.match(job_uuid):
+ self._client.jobs().cancel(uuid=job_uuid).execute()
+ else:
+ raise Exception('Unknown job type')
+ self._logger.debug("Cancelled unsatisfiable job '%s'", job_uuid)
+ except Exception as error:
+ self._logger.error("Trying to cancel job '%s': %s",
+ job_uuid,
+ error)
self._logger.debug("Calculated wishlist: %s",
', '.join(s.name for s in server_list) or "(empty)")
return super(JobQueueMonitorActor, self)._got_response(server_list)