/usr/share/pyshared/asrun/distrib.py is in code-aster-run 1.13.1-1.
This file is owned by root:root, with mode 0o644.
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# ==============================================================================
# COPYRIGHT (C) 1991 - 2003 EDF R&D WWW.CODE-ASTER.ORG
# THIS PROGRAM IS FREE SOFTWARE; YOU CAN REDISTRIBUTE IT AND/OR MODIFY
# IT UNDER THE TERMS OF THE GNU GENERAL PUBLIC LICENSE AS PUBLISHED BY
# THE FREE SOFTWARE FOUNDATION; EITHER VERSION 2 OF THE LICENSE, OR
# (AT YOUR OPTION) ANY LATER VERSION.
#
# THIS PROGRAM IS DISTRIBUTED IN THE HOPE THAT IT WILL BE USEFUL, BUT
# WITHOUT ANY WARRANTY; WITHOUT EVEN THE IMPLIED WARRANTY OF
# MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. SEE THE GNU
# GENERAL PUBLIC LICENSE FOR MORE DETAILS.
#
# YOU SHOULD HAVE RECEIVED A COPY OF THE GNU GENERAL PUBLIC LICENSE
# ALONG WITH THIS PROGRAM; IF NOT, WRITE TO EDF R&D CODE_ASTER,
# 1 AVENUE DU GENERAL DE GAULLE, 92141 CLAMART CEDEX, FRANCE.
# ==============================================================================
"""
Module pour la distribution de calcul.
"""
import os.path as osp
import time
from asrun.common.i18n import _
from asrun.mystring import print3, ufmt, add_to_tail
from asrun.calcul import AsterCalcTestcase, AsterCalcParametric
from asrun.thread import Task, TaskAbort, Empty, Lock
from asrun.repart import NORESOURCE, ALLOCATED, OVERLIMIT
# import keep for compatibility ?
from asrun.common.utils import force_list, force_couple
fmt_resu = '%-12s %-10s %-18s %8.2f %8.2f %8.2f %8.2f'
FAILURE = object()
def check_opts(obj):
"""Check that values have the expected interface."""
if obj is None:
obj = {}
elif hasattr(obj, '__getitem__') \
and hasattr(obj, '__setitem__') \
and hasattr(obj, 'get'):
pass
else:
raise TypeError, '"opts" invalid'
return obj
#-------------------------------------------------------------------------------
# Remember : the same Task instance is dispatched on all threads
#-------------------------------------------------------------------------------
class DistributionTask(Task):
"""Manage executions of several Code_Aster executions.
items are couples (jobname, dict_options)
attributes (initialized during instanciation) :
run : AsterRun object
hostrc : ResourceManager object
timeout : timeout for not allocated jobs
info : information level
"""
# Warning: do not change required parameters of DistribParametricTask
# without updating MACR_RECAL source files.
last_submit = -1.
# declare attrs
run = hostrc = prof = conf = test_result = None
info = nbitem = timeout = run_timeout = nbnook = nbmaxnook = 0
facmtps = 0.
cpresok = False
REPREF = reptest = resutest = flashdir = reptrav = ""
def __init__(self, **kwargs):
"""Initialization"""
Task.__init__(self, **kwargs)
# class attrs should be here!
self._ended_lock = Lock()
def _mess_timeout(self, dt, timeout, job, refused):
"""Emit a message when submission timeout occurs."""
self.run.Mess(ufmt(_(u"no submission for last %.0f s (timeout %.0f s), job '%s' " \
"cancelled after %d attempts."), dt, timeout, job, refused))
def _mess_running_timeout(self, dt, timeout, job):
"""Emit a message when running timeout occured."""
self.run.Mess(ufmt(_(u"The job '%s' has been submitted since %.0f s and is "\
"not ended (timeout %.0f s). You can kill it and get other results."),
job, dt, timeout))
def execute(self, items, **kwargs):
"""Function called for each group of items of the stack.
"""
assert type(items) in (list, tuple) and len(items) == 0, 'nbmaxitem should be null'
assert self.hostrc is not None, 'ResourceManager is needed'
ended = False
sum_elaps = 0.
refused_delay = 0.
refresh_delay = 0.
run_calc = []
l_resu = []
while not ended:
moy_elaps = sum_elaps / max(1, len(l_resu))
refresh_delay = max(2., moy_elaps/10.)
self.pre_exec(result=l_resu, **kwargs)
# 1. try to start a new calculation
rc_ok = True
while rc_ok:
try:
itemid, item = self.queue_get()
queue_is_empty = False
except Empty:
queue_is_empty = True
rc_ok = False
if not queue_is_empty:
if refused_delay > 0.:
self.run.DBG('waiting for %s s before requesting new resources...' \
% refused_delay)
time.sleep(refused_delay)
refused_delay = 0.
job, opts = item
opts = check_opts(opts)
opts['threadid'] = kwargs['threadid']
pid = self.run.get_pid(itemid)
calcul = self.create_calcul(job, opts, itemid, pid)
# request resources
serv, host = None, None
status = ALLOCATED
if self.hostrc is not None:
host, status = self.hostrc.Request(run=self.run, nomjob=job,
cpu = calcul.request('cpu'),
mem = calcul.request('mem'))
rc_ok = status == ALLOCATED
result = None
if not rc_ok:
# not enough resource available
result = self.refused(job, opts, itemid, status)
refused_delay = max(2., moy_elaps/5.)
else:
refresh_delay = 0.
if self.hostrc is not None:
serv = self.hostrc.GetConfig(host).get('serv')
order = self.is_done(job)
calcul.on_host(serv, host)
jret, out = calcul.start()
self.last_submit = time.time()
if jret != 0:
result = self.start_failed(job, opts, itemid, msg=out)
else:
if self.info >= 1:
host = host or "'localhost'"
self.run.Mess(ufmt(_(u'Starting execution of %s on %s (%d/%d - %s/%s)...'),
job, host, order, self.nbitem, calcul.jobid, calcul.queue),
'SILENT')
self.run.DBG('Starting execution // thread #%d %s %s %s' \
% (kwargs['threadid'], job, calcul.jobid, calcul.queue))
opts['submit_time'] = self.last_submit
opts['order'] = order
run_calc.append([job, opts, itemid, calcul])
if result is FAILURE:
result = self.failure(job, opts, itemid)
l_resu.append(result)
# 2. get calculation state
next = []
if refresh_delay > 0.:
self.run.DBG('waiting for %s s for refreshing state of jobs...' % refresh_delay)
time.sleep(refresh_delay)
for job, opts, itemid, calcul in run_calc:
actu_time = time.time()
state = self.get_calcul_state(calcul)
# wait at least 3 secondes between submission and end
if state == 'ENDED' and actu_time - opts['submit_time'] > 3.:
if self.hostrc is not None:
self.hostrc.Free(job)
res = list(self.get_calcul_diag(calcul))
result = self._ended_thread(job, opts, itemid, calcul, res)
sum_elaps += result[6]
l_resu.append(result)
else:
self.run.DBG("waiting for %s : state %s" % (job, state))
next.append([job, opts, itemid, calcul])
all_finished = len(next) == 0
run_calc = next
self.post_exec(**kwargs)
ended = queue_is_empty and all_finished
return l_resu
def failure(self, job, opts, itemid):
"""Count failure as NOOK like an error at execution."""
self.nbnook[opts['threadid']] += 1
res = ['<F>_NOT_RUN', 0., 0., 0., 0.]
result = [job, opts]
result.extend(res)
line = self.summary_line(job, opts, res)
add_to_tail(self.resutest, line, filename='NOOK')
add_to_tail(self.resutest, line, filename='RESULTAT')
result.append('failure')
return result
def refused(self, job, opts, itemid, status):
"""Action when a job is refused.
"""
opts['refused'] = opts.get('refused', 0) + 1
result = FAILURE
if status == OVERLIMIT:
self.run.Mess(ufmt(_(u"job '%s' exceeds resources limit (defined through "
"hostfile), it will not be submitted."), job), '<A>_LIMIT_EXCEEDED')
elif status == NORESOURCE:
if self.last_submit > 0.:
dt = time.time() - self.last_submit
else:
dt = 0.01
if self.info >= 2 :
self.run.Mess(ufmt(_(u"'%s' no resource available (attempt #%d, " \
"no submission for %.1f s)."), job, opts['refused'], dt))
# try another time
if 0. < dt < self.timeout:
self.queue_put((job, opts))
result = None
else:
self._mess_timeout(dt, self.timeout, job, opts['refused'])
return result
def start_failed(self, job, opts, itemid, msg):
"""Action when a job submitting failed. """
self.run.Mess(ufmt(_(u"'%s' not submitted. Error : %s"), job, msg), '<A>_NOT_SUBMITTED')
return FAILURE
def get_calcul_state(self, calcul):
"""Function to retreive the state of a calculation."""
res = calcul.get_state()
if not calcul.is_ended():
dt = time.time() - calcul.start_time
if dt > self.run_timeout > 0:
self._mess_running_timeout(dt, self.run_timeout, calcul.name)
return res[0]
def get_calcul_diag(self, calcul):
"""Function to retreive the diagnostic of the calculation."""
res = calcul.get_diag()
return res
def pre_exec(self, **kwargs):
"""Function called at the beginning of execute. """
def post_exec(self, **kwargs):
"""Function called at the end of execute."""
def create_calcul(self, job, opts, itemid, pid):
"""Create a (derived) instance of AsterCalcul. """
raise NotImplementedError
def summary_line(self, job, opts, res):
"""Return a summary line of the execution result."""
args = [job, '(%d/%d)' % (opts.get('order', 0), self.nbitem)]
args.extend(res)
if len(args) == 7:
line = ufmt(fmt_resu, *args)
else:
line = '%s : can not write the summary line' % job
return line
def _ended_thread(self, *args):
"""Call 'ended' method thread safely"""
self._ended_lock.acquire()
result = self.ended(*args)
self._ended_lock.release()
return result
# failure, ended should return result in the same format
def ended(self, job, opts, itemid, calcul, res):
"""Call when a job is ended."""
raise NotImplementedError
def result(self, *l_resu, **kwargs):
"""Function called after each task to treat results of execute.
Arguments are 'execute' results + keywords args.
'result' is called thread-safely, so can store results in attributes."""
raise NotImplementedError
class DistribTestTask(DistributionTask):
"""Manage executions of several Code_Aster testcases.
items are couples (jobname=testcase name, options)
attributes (init during instanciation) :
IN :
run : AsterRun object
hostrc : ResourceManager object
prof : AsterProfil object
conf : AsterConfig object
REPREF, reptest, resutest : directories
flashdir : directory for .o, .e files...
nbmaxnook, cpresok, facmtps : parameters
reptrav : working directory
info : information level
OUT :
nbnook (indiced by threadid)
test_result : list of (test, opts, diag, tcpu, tsys, ttot, telap)
"""
def _mess_timeout(self, dt, timeout, job, refused):
"""Emit a message when submission timeout occurs."""
self.run.Mess(ufmt(_(u"no submission for last %.0f s " \
"(timeout %.0f s, equal to the time requested by the main job, named 'astout'), " \
"job '%s' cancelled after %d attempts."), dt, timeout, job, refused))
def pre_exec(self, **kwargs):
"""Function called at the beginning of execute.
"""
if sum(self.nbnook) >= self.nbmaxnook:
reason = ufmt(_(u'Maximum number of errors reached : %d (%d errors, per thread : %s)'),
self.nbmaxnook, sum(self.nbnook), ', '.join([str(n) for n in self.nbnook]))
current_result = kwargs['result']
raise TaskAbort(reason, current_result)
def create_calcul(self, job, opts, itemid, pid):
"""Create a (derived) instance of AsterCalcul.
"""
calcul = AsterCalcTestcase(self.run, test=job, prof=self.prof, pid=pid,
conf=self.conf, REPREF=self.REPREF,
reptest=self.reptest, resutest=self.resutest,
facmtps=self.facmtps)
return calcul
def ended(self, job, opts, itemid, calcul, res):
"""Call when a job is ended.
"""
line = self.summary_line(job, opts, res)
# printing line is not thread safe but it's only printing!
print3(line)
add_to_tail(self.reptrav, line)
# count nook for each thread
gravity = self.run.GetGrav(calcul.diag)
error = gravity == -9 or gravity >= self.run.GetGrav('NOOK')
if error:
self.nbnook[opts['threadid']] += 1
add_to_tail(self.resutest, line, filename='NOOK')
add_to_tail(self.resutest, line, filename='RESULTAT')
output_filename = _(u'no error or flashdir not defined')
# keep result files if RESOK or test failed
if self.cpresok == 'RESNOOK' and not error:
calcul.clean_results()
else:
# copy output/error to flashdir
if self.flashdir != None:
try:
if not osp.isdir(self.flashdir):
self.run.MkDir(self.flashdir, niverr='SILENT')
except OSError:
pass
self.run.Copy(self.flashdir,
calcul.flash('output'), calcul.flash('error'), calcul.flash('export'),
niverr='<A>_ALARM')
output_filename = osp.join(self.flashdir, osp.basename(calcul.flash('output')))
result = [job, opts]
result.extend(res)
result.append(output_filename)
# clean flasheur
calcul.kill()
return result
def result(self, *l_resu, **kwargs):
"""Function called after each task to treat results of 'execute'.
Arguments are 'execute' results + keywords args.
'result' is called thread-safely, so can store results in attributes.
"""
nf = len(self.test_result)
self.test_result.extend(l_resu)
for values in l_resu:
job, diag = values[0], values[2]
nf += 1
if self.info >= 2:
self.run.Mess(ufmt(_(u'%s completed (%d/%d), diagnostic : %s'),
job, nf, self.nbitem, diag), 'SILENT')
class DistribParametricTask(DistributionTask):
"""Manage several Code_Aster executions.
items are couples (jobname=label, parameters values)
attributes (init during instanciation) :
IN :
run : AsterRun object
hostrc : ResourceManager object
prof : AsterProfil object
resudir : directories
flashdir : directory for .o, .e files...
info : information level
OUT :
nbnook (indiced by threadid)
exec_result : list of (label, params, diag, tcpu, tsys, ttot, telap)
"""
# declare attrs
exec_result = keywords = resudir = None
def _mess_timeout(self, dt, timeout, job, refused):
"""Emit a message when submission timeout occurs."""
self.run.Mess(ufmt(_(u"no submission for last %.0f s " \
"(timeout %.0f s, equal to 2 * the time requested by the main job), " \
"job '%s' cancelled after %d attempts."), dt, timeout, job, refused))
def create_calcul(self, job, opts, itemid, pid):
"""Create a (derived) instance of AsterCalcul.
"""
calcul = AsterCalcParametric(self.run, job, prof=self.prof, pid=pid,
values=opts, keywords=self.keywords,
resudir=self.resudir)
return calcul
def ended(self, job, opts, itemid, calcul, res):
"""Call when a job is ended."""
line = self.summary_line(job, opts, res)
# printing line is not thread safe but it's only printing!
print3(line)
add_to_tail(self.reptrav, line)
# count nook for each thread
gravity = self.run.GetGrav(calcul.diag)
error = gravity == -9 or gravity >= self.run.GetGrav('NOOK')
if error:
self.nbnook[opts['threadid']] += 1
add_to_tail(self.resudir, line, filename='NOOK')
add_to_tail(self.resudir, line, filename='RESULTAT')
output_filename = _(u'no error or flashdir not defined')
# copy output/error to flashdir
if self.flashdir != None:
try:
if not osp.isdir(self.flashdir):
self.run.MkDir(self.flashdir, niverr='SILENT')
except OSError:
pass
self.run.Copy(self.flashdir,
calcul.flash('output'), calcul.flash('error'), calcul.flash('export'),
niverr='<A>_ALARM')
output_filename = osp.join(self.flashdir, osp.basename(calcul.flash('output')))
result = [job, opts]
result.extend(res)
result.append(output_filename)
# clean flasheur
calcul.kill()
return result
def result(self, *l_resu, **kwargs):
"""Function called after each task to treat results of execute.
Arguments are 'execute' results + keywords args.
'result' is called thread-safely, so can store results in attributes.
"""
nf = len(self.exec_result)
self.exec_result.extend(l_resu)
for values in l_resu:
job, diag = values[0], values[2]
nf += 1
if self.info >= 2:
self.run.Mess(ufmt(_(u'%s completed (%d/%d), diagnostic : %s'),
job, nf, self.nbitem, diag), 'SILENT')
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