# -*- coding: utf-8 -*-
from __future__ import with_statement, print_function
from __future__ import absolute_import
'''
organization: I2BM, Neurospin, Gif-sur-Yvette, France
license:CeCILL version 2, http://www.cecill.info/licences/Licence_CeCILL_V2-en.html
'''
from ..scheduler import Scheduler
import sys
import logging
import os
import socket
import six
import json
import soma_workflow.constants as constants
from soma_workflow.errors import DRMError, ExitTimeoutException
from soma_workflow import configuration
from soma_workflow.configuration import Configuration
import tempfile
from soma_workflow import subprocess
import time
import distutils.spawn
class JobTemplate(object):
def __init__(self, remoteCommand, outputPath=None, errorPath=None, **kwargs):
self.remoteCommand = remoteCommand
self.outputPath = outputPath
self.errorPath = errorPath
self.inputPath = None
self.jobName = ''
self.queue = None
self.env = None
self.nativeSpecification = None
self.joinFiles = False
self.workingDirectory = None
self.__dict__.update(kwargs)
def build_pbs_script(self, script_file=None):
if not script_file:
script_file_ = tempfile.mkstemp()
script_file = script_file_[1]
os.close(script_file_[0])
with open(script_file, 'w') as f:
f.write('#!/bin/sh\n')
# PBS options
if self.jobName:
special_chars = " ()&:"
job_name = self.jobName
for special_char in special_chars:
job_name = job_name.replace(special_char, '_')
f.write('#PBS -N %s\n' % job_name)
if self.queue:
f.write('#PBS -q %s\n' % self.queue)
# if self.env:
# var = ','.join(['"%s=%s"' % (k, v.replace('"', '\\"'))
# for k, v in six.iteritems(self.env)])
# f.write('#PBS -v %s\n' % var)
if self.nativeSpecification:
native_spec = self.nativeSpecification
if not isinstance(native_spec, list):
native_spec = [native_spec]
for spec in native_spec:
f.write('#PBS %s\n' % spec)
if self.joinFiles:
f.write('#PBS -j oe\n')
# env variables
if self.env:
for var, value in self.env.items():
f.write('export %s=%s\n' % (var, value))
# working directory
if self.workingDirectory:
f.write('cd "%s"\n' % self.workingDirectory)
# commandline, ensure all args are strings
escaped_command = [str(x).replace('"', '\\"')
for x in self.remoteCommand]
redirect = ''
if self.inputPath:
# handle stdin redirection. Use bash redirection, I don't
# know another way.
redirect = ' < "%s"' % self.inputPath
f.write('"' + '" "'.join(escaped_command) + '"' + redirect + '\n')
logger = logging.getLogger('ljp.pbspro_scheduler')
logger.debug('build_pbs_script: %s' % script_file)
return script_file
def qsub_command(self, script_file):
cmd = PBSProScheduler.qsub_command()
if script_file:
if self.outputPath:
cmd += ['-o', self.outputPath]
if self.errorPath:
cmd += ['-e', self.errorPath]
cmd.append(script_file)
return cmd
def run_job(self, script_file=None, keep_script_file=False):
rm_script = False
if not script_file:
rm_script = True
script_file = self.build_pbs_script()
try:
cmd = self.qsub_command(script_file)
logger = logging.getLogger('ljp.pbspro_scheduler')
logger.debug('run job: %s' % repr(cmd))
job_id = subprocess.check_output(
cmd, stderr=subprocess.STDOUT).decode('utf-8').strip()
logger.debug('job_id: ' + repr(job_id))
return job_id
finally:
if rm_script and not keep_script_file:
os.unlink(script_file)
elif rm_script:
logger.info('job %s script file: %s' %
(self.jobName, script_file))
[docs]class PBSProScheduler(Scheduler):
'''
Scheduling using a PBS Pro session.
'''
# dict
parallel_job_submission_info = None
logger = None
_configured_native_spec = None
tmp_file_path = None
is_sleeping = False
FAKE_JOB = -167
_out_of_container_command = None
def __init__(self,
parallel_job_submission_info,
tmp_file_path=None,
configured_native_spec=None):
super(PBSProScheduler, self).__init__()
self.logger = logging.getLogger('ljp.pbspro_scheduler')
self.wake()
# self.hostname = socket.gethostname()
# use full qualified hostname, because of a probable bug on our
# cluster.
self.hostname = socket.getfqdn()
self.parallel_job_submission_info = parallel_job_submission_info
self._configured_native_spec = configured_native_spec
self.logger.debug("Parallel job submission info: %s",
repr(parallel_job_submission_info))
if tmp_file_path == None:
self.tmp_file_path = os.path.abspath("tmp")
else:
self.tmp_file_path = os.path.abspath(tmp_file_path)
self.setup_pbs_variant()
def __del__(self):
self.clean()
[docs] @staticmethod
def out_of_container_command():
"""
In case this server is running inside a contaner, qsat/qsub commands
are not available inside the container but are on the host. We need to
get out of the container in such a situation.
"""
out_container = getattr(PBSProScheduler, '_out_of_container_command',
None)
if out_container is not None:
return out_container # cached
if distutils.spawn.find_executable('qstat') \
or 'CASA_HOST_DIR' not in os.environ:
out_container = []
else:
out_container = ['ssh', 'localhost']
PBSProScheduler._out_of_container_command = out_container
return out_container
@staticmethod
def qstat_command():
return PBSProScheduler.out_of_container_command() + ['qstat']
@staticmethod
def qsub_command():
return PBSProScheduler.out_of_container_command() + ['qsub']
@staticmethod
def qdel_command():
return PBSProScheduler.out_of_container_command() + ['qdel']
[docs] def submit_simple_test_job(self, outstr, out_o_file, out_e_file):
'''
Create a job to test
'''
outputPath = "%s:%s" % (self.hostname,
os.path.join(self.tmp_file_path, "%s" % (out_o_file)))
errorPath = "%s:%s" % (self.hostname,
os.path.join(self.tmp_file_path, "%s" % (out_e_file)))
jobTemplate = JobTemplate(remoteCommand=['echo', outstr],
outputPath=outputPath, errorPath=errorPath)
# print("jobTemplate="+repr(jobTemplate))
# print("jobTemplate.remoteCommand="+repr(jobTemplate.remoteCommand))
# print("jobTemplate.outputPath="+repr(jobTemplate.outputPath))
# print("jobTemplate.errorPath="+repr(jobTemplate.errorPath))
jobid = jobTemplate.run_job()
# print("jobid="+jobid)
retval = self.wait_job(jobid)
# print("retval="+repr(retval))
[docs] def get_pbs_version(self):
'''
get PBS implementation and version. May be PBS Pro or Torque/PBS
Returns
-------
pbs_version: tuple (2 strings)
(implementation, version)
'''
cmd = self.qstat_command() + ['--version']
verstr = subprocess.check_output(cmd, stderr=subprocess.STDOUT).decode(
'utf-8')
if verstr.startswith('pbs_version ='):
impl = 'pbspro'
ver = verstr.split('=')[1].strip()
else:
impl = 'torque'
ver = verstr.split(':')[1].strip()
return (impl, ver)
[docs] def setup_pbs_variant(self):
'''
determine PBS implementation / version and set internal behaviour accordingly
'''
impl, ver = self.get_pbs_version()
self._pbs_impl = impl
# strip off suffixes like in '20.0.1~ubuntu_16.04'
if '~' in ver:
ver = ver[:ver.index('~')]
self._pbs_version = [int(x) for x in ver.split('.')]
self.logger.info('PBS implementation: %s' % self._pbs_impl)
self.logger.info('PBS version: %s' % repr(self._pbs_version))
def _setParallelJob(self,
job_template,
parallel_job_info):
'''
Set the job template information for a parallel job submission.
The configuration file must provide the parallel job submission
information specific to the cluster in use.
Parameters
----------
job_template: JobTemplate
job template instance
parallel_job_info: dict
parallel info dict, containing:
nodes_number: int
maximum node number the job requests (on a unique machine or
separated machine depending on the parallel configuration)
cpu_per_node: int
nomber of CPUs or cores per node
'''
if self.is_sleeping:
self.wake()
self.logger.debug(">> _setParallelJob")
configuration_name = parallel_job_info.get('config_name', 'native')
cluster_specific_cfg_name = self.parallel_job_submission_info.get(
configuration_name)
if cluster_specific_cfg_name:
for attribute in configuration.PARALLEL_DRMAA_ATTRIBUTES:
value = self.parallel_job_submission_info.get(attribute)
if value:
value = value.replace(
"{config_name}", cluster_specific_cfg_name)
value = value.replace("{nodes_number}",
repr(parallel_job_info.get(
'nodes_number', 1)))
setattr(job_template, attribute, value)
self.logger.debug(
"Parallel job, drmaa attribute = %s, value = %s ",
attribute, value)
if parallel_job_info:
native_spec = job_template.nativeSpecification
if native_spec is None:
native_spec = []
elif isinstance(native_spec, str):
native_spec = [native_spec]
native_spec.append(
'-l nodes=%(nodes_number)s:ppn=%(cpu_per_node)s'
% parallel_job_info)
job_template.nativeSpecification = native_spec
job_env = {}
for parallel_env_v in configuration.PARALLEL_JOB_ENV:
value = self.parallel_job_submission_info.get(parallel_env_v)
if value:
job_env[parallel_env_v] = value.rstrip()
if job_template.env is None:
job_template.env = {}
job_template.env.update(job_env)
self.logger.debug("Parallel job environment : " + repr(job_env))
self.logger.debug("<< _setParallelJob")
return job_template
[docs] def job_submission(self, jobs, signal_end=True):
'''
Parameters
----------
jobs: soma_workflow.client.Job
job to be submitted
signal_end: bool
Returns
-------
job_id: string
job id
'''
drmaa_ids = []
for job in jobs:
try:
drmaa_id = self.submit_one_job(job)
except:
drmaa_id = None
drmaa_ids.append(drmaa_id)
return drmaa_ids
def submit_one_job(self, job):
if self.is_sleeping:
self.wake()
if job.is_engine_execution:
# barrier jobs don't actually go through job submission
self.logger.debug('job_submission, PBS - barrier job.')
job.status = constants.DONE
return self.FAKE_JOB
command = job.plain_command()
self.logger.info("command: " + repr(command))
self.logger.info("job.name=" + repr(job.name))
stdout_file = job.plain_stdout()
stderr_file = job.plain_stderr()
stdin = job.plain_stdin()
try:
outputPath = "%s:%s" % (self.hostname, stdout_file)
if stderr_file:
errorPath = "%s:%s" % (self.hostname, stderr_file)
else:
errorPath = None
jobTemplate = JobTemplate(remoteCommand=command,
outputPath=outputPath,
errorPath=errorPath)
jobTemplate.jobName = job.name
self.logger.info("jobTemplate=" + repr(jobTemplate)
+ " command[0]=" + repr(command[0])
+ " command[1:]=" + repr(command[1:]))
self.logger.info(
"hostname and stdout_file= [%s]:%s" % (self.hostname, stdout_file))
# ensure there is a directory for stdout
if not os.path.exists(os.path.dirname(stdout_file)):
os.makedirs(os.path.dirname(stdout_file))
if not job.join_stderrout:
# ensure there is a directory for stderr
if not os.path.exists(os.path.dirname(stderr_file)):
os.makedirs(os.path.dirname(stderr_file))
if job.stdin:
self.logger.debug("stdin: " + repr(stdin))
jobTemplate.inputPath = stdin
working_directory = job.plain_working_directory()
if working_directory:
jobTemplate.workingDirectory = working_directory
self.logger.debug(
"JOB NATIVE_SPEC " + repr(job.native_specification))
self.logger.debug(
"CONFIGURED NATIVE SPEC " + repr(self._configured_native_spec))
if job.queue:
jobTemplate.queue = job.queue
self.logger.debug("queue: " + str(job.queue))
native_spec = None
if job.native_specification:
native_spec = job.native_specification
elif self._configured_native_spec:
native_spec = self._configured_native_spec
if native_spec:
jobTemplate.nativeSpecification = str(native_spec)
self.logger.debug(
"NATIVE specification " + str(native_spec))
if job.parallel_job_info:
jobTemplate = self._setParallelJob(jobTemplate,
job.parallel_job_info)
if job.env:
jobTemplate.env = dict(job.env)
self.logger.debug("before submit command: " + repr(command))
self.logger.debug("before submit job.name=" + repr(job.name))
job_id = jobTemplate.run_job()
except subprocess.CalledProcessError as e:
# try: # this will be done in the engine
# f = open(stderr_file, "a")
# f.write("Error in job submission: %s: %s, output: %s"
# % (type(e), e, e.output))
# f.close()
# except Exception:
# pass
self.logger.error("Error in job submission: %s: %s\nOutput:\n%s"
% (type(e), e, e.output.decode()),
exc_info=sys.exc_info())
raise DRMError("Job submission error: %s:\n%s\nOutput:\n%s"
% (type(e), e, e.output.decode()))
except Exception as e:
self.logger.info('exception in PBS job submission:' + repr(e))
try:
f = open(stderr_file, "wa")
f.write("Error in job submission: %s: %s" % (type(e), e))
f.close()
except Exception:
pass
self.logger.error("Error in job submission: %s: %s" % (type(e), e),
exc_info=sys.exc_info())
raise DRMError("Job submission error: %s: %s" % (type(e), e))
return job_id
[docs] def kill_job(self, scheduler_job_id):
'''
Parameters
----------
scheduler_job_id: string
Job id for the scheduling system (DRMAA for example)
'''
if self.is_sleeping:
self.wake()
if scheduler_job_id == self.FAKE_JOB:
return # barriers are not run, thus cannot be killed.
self.logger.debug('kill job: %s' % scheduler_job_id)
try:
status = self.get_job_status(scheduler_job_id)
if status not in (constants.DONE, constants.FAILED):
cmd = self.qdel_command() + [scheduler_job_id]
subprocess.check_call(cmd)
except Exception as e:
self.logger.critical("%s: %s" % (type(e), e))
# raise
[docs] def get_job_extended_status(self, scheduler_job_id):
'''
Get job full status in a dictionary (from qstat in json format)
'''
if self.is_sleeping:
self.wake()
if scheduler_job_id == self.FAKE_JOB:
# a barrier job is done as soon as it is started.
return constants.DONE
try:
if self._pbs_impl == 'pbspro':
cmd = self.qstat_command() + ['-x', '-f', '-F', 'json',
scheduler_job_id]
json_str = subprocess.check_output(cmd).decode('utf-8')
super_status = json.loads(json_str)
else: # torque/pbs
import xml.etree.cElementTree as ET
cmd = self.qstat_command() + ['-x', scheduler_job_id]
xml_str = subprocess.check_output(cmd).decode('utf-8')
super_status = {}
s_xml = ET.fromstring(xml_str)
xjob = s_xml[0]
job = {}
parsing = [(xjob, job)]
while parsing:
element, parent = parsing.pop(0)
for child in element:
tag = child.tag
if tag == 'Job_Id':
super_status['Jobs'] = {child.text: job}
else:
if len(child) != 0:
current = {}
parsing.append((child, current))
else:
current = child.text
parent[tag] = current
current = None
except Exception as e:
self.logger.critical("%s: %s" % (type(e), e))
raise
status = super_status['Jobs'][scheduler_job_id]
self.logger.debug('get_job_extended_status: ' + repr(scheduler_job_id)
+ ': ' + repr(status))
return status
def get_pbs_status_codes(self):
if self._pbs_impl == 'pbspro':
class codes(object):
ARRAY_STARTED = 'B'
EXITING = 'E'
FINISHED = 'F'
HELD = 'H'
MOVED = 'M'
QUEUED = 'Q'
RUNNING = 'R'
SUSPENDED = 'S'
MOVING = 'T'
SUSPEND_KB = 'U'
WAITING = 'W'
SUBJOB_COMPLETE = 'X'
else: # torque/pbs
class codes(object):
ARRAY_STARTED = 'B' # unused
EXITING = 'E'
FINISHED = 'C'
HELD = 'H'
MOVED = 'M' # unused
QUEUED = 'Q'
RUNNING = 'R'
SUSPENDED = 'S'
MOVING = 'T'
SUSPEND_KB = 'U' # unused
WAITING = 'W'
SUBJOB_COMPLETE = 'X' # unused
return codes
[docs] def get_job_status(self, scheduler_job_id):
'''
Parameters
----------
scheduler_job_id: string
Job id for the scheduling system (DRMAA for example)
Returns
-------
status: string
Job status as defined in constants.JOB_STATUS
'''
if scheduler_job_id == self.FAKE_JOB:
# it's a barrier job, doesn't exist in DRMS, and it's always done.
return constants.DONE
codes = self.get_pbs_status_codes()
try:
status = self.get_job_extended_status(scheduler_job_id)
state = status['job_state']
self.logger.debug(
'get_job_status for: ' + repr(scheduler_job_id) + ': ', repr(state))
except Exception:
return constants.UNDETERMINED
if state == codes.ARRAY_STARTED:
return constants.RUNNING
elif state == codes.EXITING:
return constants.RUNNING # FIXME not exactly that
elif state == codes.FINISHED:
exit_value = status.get('Exit_status', -1)
if exit_value != 0:
return constants.FAILED
return constants.DONE
elif state == codes.HELD:
return constants.USER_SYSTEM_ON_HOLD # FIXME or USER_ON_HOLD ?
elif state == codes.MOVED:
return constants.USER_SYSTEM_SUSPENDED # FIXME not exactly that
elif state == codes.QUEUED:
return constants.QUEUED_ACTIVE
elif state == codes.RUNNING:
return constants.RUNNING
elif state == codes.SUSPENDED:
return constants.USER_SYSTEM_SUSPENDED # FIXME or SYSTEM_SUSPENDED ?
elif state == codes.MOVING:
return constants.USER_SUSPENDED # FIXME not exactly that
elif state == codes.SUSPEND_KB:
return constants.USER_SYSTEM_SUSPENDED # is it that ?
elif state == codes.WAITING:
return constants.QUEUED_ACTIVE # FIXME not exactly that
elif state == codes.SUBJOB_COMPLETE:
return constants.DELETE_PENDING # is it that ?
else:
return constants.UNDETERMINED
[docs] def get_job_exit_info(self, scheduler_job_id):
'''
The exit info consists of 4 values returned in a tuple:
**exit_status**: string
one of the constants.JOB_EXIT_STATUS values
**exit_value**: int
exit code of the command (normally 0 in case of success)
**term_sig**: int
termination signal, 0 IF ok
**resource_usage**: unicode
string in the shape
``'cpupercent=60 mem=13530kb cput=00:00:12'`` etc. Items may include:
* cpupercent
* cput
* mem
* vmem
* ncpus
* walltime
Parameters
----------
scheduler_job_id: string
Job id for the scheduling system (DRMAA for example)
Returns
-------
exit_info: tuple
exit_status, exit_value, term_sig, resource_usage
'''
if self.is_sleeping:
self.wake()
if scheduler_job_id == self.FAKE_JOB:
res_resourceUsage = ''
res_status = constants.FINISHED_REGULARLY
res_exitValue = 0
res_termSignal = None
return (res_status, res_exitValue, res_termSignal,
res_resourceUsage)
res_resourceUsage = []
res_status = constants.EXIT_UNDETERMINED
res_exitValue = 0
res_termSignal = None
try:
self.logger.debug(
" ==> Start to find info of job %s" % (scheduler_job_id))
status = self.get_job_extended_status(scheduler_job_id)
jid_out = status['Output_Path']
exit_value = status.get('Exit_status', -1)
signaled = False
term_sig = 0
if exit_value >= 256:
signaled = True
term_sig = exit_value % 256
coredumped = (term_sig == 2)
aborted = (exit_value <= -4 and exit_value >= -6)
exit_status = exit_value
resource_usage = status.get('resources_used', {})
# jid_out, exit_value, signaled, term_sig, coredumped, aborted, exit_status, resource_usage = self._drmaa.wait(
# scheduler_job_id, self._drmaa.TIMEOUT_NO_WAIT)
self.logger.debug(" ==> jid_out=" + repr(jid_out))
self.logger.debug(" ==> exit_value=" + repr(exit_value))
self.logger.debug(" ==> signaled=" + repr(signaled))
self.logger.debug(" ==> term_sig=" + repr(term_sig))
self.logger.debug(" ==> coredumped=" + repr(coredumped))
self.logger.debug(" ==> aborted=" + repr(aborted))
self.logger.debug(" ==> exit_status=" + repr(exit_status))
self.logger.debug(
" ==> resource_usage=" + repr(resource_usage))
if aborted:
res_status = constants.EXIT_ABORTED
else:
if exit_value == 0:
res_status = constants.FINISHED_REGULARLY
res_exitValue = exit_status
else:
res_exitValue = exit_status
if signaled:
res_status = constants.FINISHED_TERM_SIG
res_termSignal = term_sig
else:
# in soma-workflow a job with a non-zero exit code
# has still finished regularly (ran without being
# interrupted)
# res_status = constants.EXIT_ABORTED
res_status = constants.FINISHED_REGULARLY
self.logger.info(" ==> res_status=" + repr(res_status))
res_resourceUsage = u''
for k, v in six.iteritems(resource_usage):
res_resourceUsage = res_resourceUsage + \
k + u'=' + str(v) + u' '
except ExitTimeoutException:
res_status = constants.EXIT_UNDETERMINED
self.logger.debug(" ==> wait time out")
return (res_status, res_exitValue, res_termSignal, res_resourceUsage)
[docs] def wait_job(self, job_id, timeout=0, poll_interval=0.3):
'''
Wait for a specific job to be terminated.
'''
status = self.get_job_extended_status(job_id)
stime = time.time()
while status['job_state'] not in ('F', ):
if timeout > 0 and time() - stime > timeout:
raise ExitTimeoutException('wait_job timed out')
time.sleep(poll_interval)
status = self.get_job_extended_status(job_id)
return status
[docs] @classmethod
def build_scheduler(cls, config):
'''
Build an instance of PBSProScheduler
'''
sch = PBSProScheduler(
config.get_parallel_job_config(),
os.path.expanduser("~"),
configured_native_spec=config.get_native_specification())
return sch
