from __future__ import absolute_import, print_function
import logging
+import subprocess
from . import clientactor
from .config import ARVADOS_ERRORS
"""
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
+ # libcloud disk sizes are in GB, Arvados/SLURM are in MB
+ # multiply by 1000 instead of 1024 to err on low side
+ if self.disk is None:
+ self.disk = 0
+ self.scratch = self.disk * 1000
+ 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,))
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')
self.logger = logging.getLogger('arvnodeman.jobqueue')
self.logged_jobs = set()
+ self.logger.info("Using cloud node sizes:")
+ for s in self.cloud_sizes:
+ self.logger.info(str(s.__dict__))
+
@staticmethod
def coerce_int(x, fallback):
try:
"""
CLIENT_ERRORS = ARVADOS_ERRORS
- LOGGER_NAME = 'arvnodeman.jobqueue'
- def __init__(self, client, timer_actor, server_calc, *args, **kwargs):
+ def __init__(self, client, timer_actor, server_calc,
+ jobs_queue, slurm_queue, *args, **kwargs):
super(JobQueueMonitorActor, self).__init__(
client, timer_actor, *args, **kwargs)
+ self.jobs_queue = jobs_queue
+ self.slurm_queue = slurm_queue
self._calculator = server_calc
+ @staticmethod
+ def coerce_to_mb(x):
+ v, u = x[:-1], x[-1]
+ if u in ("M", "m"):
+ return int(v)
+ elif u in ("G", "g"):
+ return float(v) * 2**10
+ elif u in ("T", "t"):
+ return float(v) * 2**20
+ elif u in ("P", "p"):
+ return float(v) * 2**30
+ else:
+ return int(x)
+
def _send_request(self):
- return self._client.jobs().queue().execute()['items']
+ queuelist = []
+ if self.slurm_queue:
+ # cpus, memory, tempory disk space, reason, job name
+ squeue_out = subprocess.check_output(["squeue", "--state=PENDING", "--noheader", "--format=%c|%m|%d|%r|%j"])
+ for out in squeue_out.splitlines():
+ try:
+ cpu, ram, disk, reason, jobname = out.split("|", 4)
+ if ("ReqNodeNotAvail" in reason) or ("Resources" in reason):
+ queuelist.append({
+ "uuid": jobname,
+ "runtime_constraints": {
+ "min_cores_per_node": cpu,
+ "min_ram_mb_per_node": self.coerce_to_mb(ram),
+ "min_scratch_mb_per_node": self.coerce_to_mb(disk)
+ }
+ })
+ except ValueError:
+ pass
+
+ if self.jobs_queue:
+ 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)