def from_d(d):
# fixme
from pbsmrtpipe.cluster import ClusterTemplateRender, ClusterTemplate
if d['cluster']:
tmplates = [ClusterTemplate(k, v) for k, v in d['cluster'].iteritems()]
c = ClusterTemplateRender(tmplates)
else:
c = None
task = Task.from_d(d['task'])
return RunnableTask(task, c, d['env'])
def test_cluster_pool(self):
name = 'sge'
template_dir = os.path.join(CLUSTER_TEMPLATE_DIR, name)
# Extra checking to make sure tests don't fail because of
# configuration of the system.
if os.path.exists(template_dir):
cluster_renderer = ClusterTemplateRender.from_dir(template_dir)
max_tasks = 5
max_workers = 3
results = _test_simple_pool(max_workers, max_tasks, cluster_renderer=cluster_renderer)
self.assertEqual(len(results), max_tasks)
else:
msg = "Manually skipping {k}. Unable to cluster template '{t}'".format(k=self.__class__.__name__, t=template_dir)
warnings.warn(msg)
log.warn(msg)
self.assertTrue(True)
def test_cluster_pool(self):
name = 'sge'
template_dir = os.path.join(CLUSTER_TEMPLATE_DIR, name)
# Extra checking to make sure tests don't fail because of
# configuration of the system.
if os.path.exists(template_dir):
cluster_renderer = ClusterTemplateRender.from_dir(template_dir)
max_tasks = 5
max_workers = 3
results = _test_simple_pool(max_workers,
max_tasks,
cluster_renderer=cluster_renderer)
self.assertEqual(len(results), max_tasks)
else:
msg = "Manually skipping {k}. Unable to cluster template '{t}'".format(
k=self.__class__.__name__, t=template_dir)
warnings.warn(msg)
log.warn(msg)
self.assertTrue(True)
def run_task_on_cluster(runnable_task, task_manifest_path, output_dir, debug_mode):
"""
:param runnable_task:
:param output_dir:
:param debug_mode:
:return:
:type runnable_task: RunnableTask
"""
def _to_p(x_):
return os.path.join(output_dir, x_)
stdout_ = _to_p('stdout')
stderr_ = _to_p('stderr')
if runnable_task.task.is_distributed is False:
return run_task(runnable_task, output_dir, stdout_, stderr_, debug_mode)
if runnable_task.cluster is None:
log.warn("No cluster provided. Running task locally.")
return run_task(runnable_task, output_dir, stdout_, stderr_, debug_mode)
os.chdir(runnable_task.task.output_dir)
env_json = os.path.join(output_dir, '.cluster-env.json')
IO.write_env_to_json(env_json)
# sloppy API
if isinstance(runnable_task.cluster, ClusterTemplateRender):
render = runnable_task.cluster
else:
ctmpls = [ClusterTemplate(name, tmpl) for name, tmpl in runnable_task.cluster.iteritems()]
render = ClusterTemplateRender(ctmpls)
job_id = to_random_job_id(runnable_task.task.task_id)
log.debug("Using job id {i}".format(i=job_id))
qstdout = _to_p('cluster.stdout')
qstderr = _to_p('cluster.stderr')
qshell = _to_p('cluster.sh')
rcmd_shell = _to_p('run.sh')
# This needs to be flattened due to the new RTC layer
# Task Manifest Runner output
stdout = _to_p('stdout')
stderr = _to_p('stderr')
mstdout = _to_p('mstdout')
mstderr = _to_p('mstderr')
with open(qstdout, 'w+') as f:
f.write("Creating cluster stdout for Job {i} {r}\n".format(i=job_id, r=runnable_task))
debug_str = " --debug "
exe = _resolve_exe("pbtools-runner")
_d = dict(x=exe,
t=task_manifest_path,
o=stdout,
e=stderr,
d=debug_str,
m=stdout,
n=stderr,
r=output_dir)
cmd = "{x} run {d} --output-dir=\"{r}\" --task-stderr=\"{e}\" --task-stdout=\"{o}\" \"{t}\" > \"{m}\" 2> \"{n}\"".format(**_d)
with open(rcmd_shell, 'w+') as x:
x.write(cmd + "\n")
# Make +x
os.chmod(rcmd_shell, os.stat(rcmd_shell).st_mode | stat.S_IEXEC)
cluster_cmd = render.render(ClusterConstants.START, rcmd_shell, job_id, qstdout, qstderr, runnable_task.task.nproc)
log.debug(cluster_cmd)
with open(qshell, 'w') as f:
f.write("#!/bin/bash\n")
f.write(cluster_cmd + "\n")
os.chmod(qshell, os.stat(qshell).st_mode | stat.S_IEXEC)
# host = socket.getfqdn()
host = platform.node()
# so core dumps are written to the job dir
os.chdir(output_dir)
rcode, cstdout, cstderr, run_time = backticks("bash {q}".format(q=qshell))
if rcode == 0:
err_msg = ""
warn_msg = ""
else:
p_err_msg = "task {i} failed (exit-code {x}) after {r:.2f} sec".format(i=runnable_task.task.task_id, r=run_time, x=rcode)
raw_stderr = _extract_last_nlines(stderr)
cluster_raw_stderr = _extract_last_nlines(cstderr)
err_msg = "\n".join([p_err_msg, raw_stderr, cluster_raw_stderr])
warn_msg = ""
msg_ = "Completed running cluster command in {t:.2f} sec. Exit code {r}".format(r=rcode, t=run_time)
log.info(msg_)
with open(qstdout, 'a') as qf:
qf.write(str(cstdout) + "\n")
qf.write(msg_ + "\n")
with open(qstderr, 'a') as f:
if rcode != 0:
f.write(str(cstderr) + "\n")
f.write(msg_ + "\n")
r = to_task_report(host, runnable_task.task.task_id, run_time, rcode, err_msg, warn_msg)
task_report_path = os.path.join(output_dir, 'task-report.json')
msg = "Writing task id {i} task report to {r}".format(r=task_report_path, i=runnable_task.task.task_id)
log.info(msg)
r.write_json(task_report_path)
return rcode, run_time
def run_task_on_cluster(runnable_task, task_manifest_path, output_dir,
debug_mode):
"""
:param runnable_task:
:param output_dir:
:param debug_mode:
:return:
:type runnable_task: RunnableTask
"""
def _to_p(x_):
return os.path.join(output_dir, x_)
stdout_ = _to_p('stdout')
stderr_ = _to_p('stderr')
if runnable_task.task.is_distributed is False:
return run_task(runnable_task, output_dir, stdout_, stderr_,
debug_mode)
if runnable_task.cluster is None:
log.warn("No cluster provided. Running task locally.")
return run_task(runnable_task, output_dir, stdout_, stderr_,
debug_mode)
env_json = os.path.join(output_dir, 'env.json')
IO.write_env_to_json(env_json)
# sloppy API
if isinstance(runnable_task.cluster, ClusterTemplateRender):
render = runnable_task.cluster
else:
ctmpls = [
ClusterTemplate(name, tmpl)
for name, tmpl in runnable_task.cluster.iteritems()
]
render = ClusterTemplateRender(ctmpls)
job_id = to_random_job_id(runnable_task.task.task_id)
log.debug("Using job id {i}".format(i=job_id))
qstdout = _to_p('cluster.stdout')
qstderr = _to_p('cluster.stderr')
qshell = _to_p('cluster.sh')
rcmd_shell = _to_p('run.sh')
# Task Manifest Runner output
stdout = _to_p('stdout')
stderr = _to_p('stderr')
mstdout = _to_p('mstdout')
mstderr = _to_p('mstderr')
with open(qstdout, 'w+') as f:
f.write("Creating cluster stdout for Job {i} {r}\n".format(
i=job_id, r=runnable_task))
debug_str = " --debug "
_d = dict(t=task_manifest_path,
o=stdout,
e=stderr,
d=debug_str,
m=mstdout,
n=mstderr)
cmd = "pbtools-runner run {d} --task-stderr=\"{e}\" --task-stdout=\"{o}\" \"{t}\" > \"{m}\" 2> \"{n}\"".format(
**_d)
with open(rcmd_shell, 'w+') as x:
x.write(cmd + "\n")
# Make +x
os.chmod(rcmd_shell, os.stat(rcmd_shell).st_mode | stat.S_IEXEC)
cluster_cmd = render.render('interactive', rcmd_shell, job_id, qstdout,
qstderr, runnable_task.task.nproc)
log.debug(cluster_cmd)
with open(qshell, 'w') as f:
f.write("#!/bin/bash\n")
f.write(cluster_cmd + "\n")
os.chmod(qshell, os.stat(qshell).st_mode | stat.S_IEXEC)
# host = socket.getfqdn()
host = platform.node()
# so core dumps are written to the job dir
os.chdir(output_dir)
rcode, cstdout, cstderr, run_time = backticks("bash {q}".format(q=qshell))
if rcode == 0:
err_msg = ""
warn_msg = ""
else:
# not sure how to scrape this from the stderr/stdout
err_msg = "task {i} failed".format(i=runnable_task.task.task_id)
warn_msg = ""
msg_ = "Completed running cluster command in {t:.2f} sec. Exit code {r}".format(
r=rcode, t=run_time)
log.info(msg_)
with open(qstdout, 'a') as qf:
qf.write(str(cstdout) + "\n")
qf.write(msg_ + "\n")
with open(qstderr, 'a') as f:
if rcode != 0:
f.write(str(cstderr) + "\n")
f.write(msg_ + "\n")
r = to_task_report(host, runnable_task.task.task_id, run_time, rcode,
err_msg, warn_msg)
task_report_path = os.path.join(output_dir, 'task-report.json')
msg = "Writing task id {i} task report to {r}".format(
r=task_report_path, i=runnable_task.task.task_id)
log.info(msg)
r.write_json(task_report_path)
return rcode, run_time
def run_task_on_cluster(runnable_task, task_manifest_path, output_dir, debug_mode):
"""
:param runnable_task:
:param output_dir:
:param debug_mode:
:return:
:type runnable_task: RunnableTask
"""
def _to_p(x_):
return os.path.join(output_dir, x_)
stdout_ = _to_p('stdout')
stderr_ = _to_p('stderr')
if runnable_task.task.is_distributed is False:
return run_task(runnable_task, output_dir, stdout_, stderr_, debug_mode)
if runnable_task.cluster is None:
log.warn("No cluster provided. Running task locally.")
return run_task(runnable_task, output_dir, stdout_, stderr_, debug_mode)
os.chdir(runnable_task.task.output_dir)
env_json = os.path.join(output_dir, '.cluster-env.json')
IO.write_env_to_json(env_json)
# sloppy API
if isinstance(runnable_task.cluster, ClusterTemplateRender):
render = runnable_task.cluster
else:
ctmpls = [ClusterTemplate(name, tmpl) for name, tmpl in runnable_task.cluster.iteritems()]
render = ClusterTemplateRender(ctmpls)
job_id = to_random_job_id(runnable_task.task.task_id)
log.debug("Using job id {i}".format(i=job_id))
qstdout = _to_p('cluster.stdout')
qstderr = _to_p('cluster.stderr')
qshell = _to_p('cluster.sh')
rcmd_shell = _to_p('run.sh')
# This needs to be flattened due to the new RTC layer
# Task Manifest Runner output
stdout = _to_p('stdout')
stderr = _to_p('stderr')
with open(qstdout, 'w+') as f:
f.write("Creating cluster stdout for Job {i} {r}\n".format(i=job_id, r=runnable_task))
debug_str = " --debug "
exe = _resolve_exe("pbtools-runner")
_d = dict(x=exe,
t=task_manifest_path,
o=stdout,
e=stderr,
d=debug_str,
m=stdout,
n=stderr,
r=output_dir)
# the quoting here is explicitly to handle spaces in paths
cmd = "{x} run {d} --output-dir=\"{r}\" --task-stderr=\"{e}\" --task-stdout=\"{o}\" \"{t}\" > \"{m}\" 2> \"{n}\"".format(**_d)
# write the pbtools-runner exe command
with open(rcmd_shell, 'w+') as x:
x.write(cmd + "\n")
chmod_x(rcmd_shell)
cluster_cmd = render.render(ClusterConstants.START, rcmd_shell, job_id, qstdout, qstderr, runnable_task.task.nproc)
log.info("Job submission command: " + cluster_cmd)
with open(qshell, 'w') as f:
f.write("#!/bin/bash\n")
f.write("set -o errexit\n")
f.write("set -o pipefail\n")
f.write("set -o nounset\n")
f.write(cluster_cmd.rstrip("\n") + " ${1+\"$@\"}\n")
f.write("exit $?")
chmod_x(qshell)
host = platform.node()
# so core dumps are written to the job dir
os.chdir(output_dir)
# print the underlying jms command if using runjmscmd
if re.search(r'/runjmscmd\b', cluster_cmd):
rcode, cstdout, cstderr, run_time = backticks("bash {q} --printcmd".format(q=qshell))
if rcode == 0:
log.info("Underlying JMS job submission command: " + "\n".join(cstdout))
# Blocking call
rcode, cstdout, cstderr, run_time = backticks("bash {q}".format(q=qshell))
log.info("Cluster command return code {r} in {s:.2f} sec".format(r=rcode, s=run_time))
msg_t = "{n} Completed running cluster command in {t:.2f} sec. Exit code {r} (task-type {i})"
msg_ = msg_t.format(r=rcode, t=run_time, i=runnable_task.task.task_type_id, n=datetime.datetime.now())
log.info(msg_)
# Append the bash cluster.sh stderr and stdout call to
# the cluster.stderr and cluster.stdout
with open(qstdout, 'a') as qf:
if cstdout:
qf.write("\n".join(cstdout) + "\n")
qf.write(msg_ + "\n")
with open(qstderr, 'a') as f:
if rcode != 0:
if cstderr:
f.write(str(cstderr) + "\n")
# fundamental output error str message of this func
err_msg = ""
warn_msg = ""
if rcode != 0:
p_err_msg = "task {i} failed (exit-code {x}) after {r:.2f} sec".format(i=runnable_task.task.task_id, r=run_time, x=rcode)
raw_stderr = _extract_last_nlines(stderr)
cluster_raw_stderr = _extract_last_nlines(qstderr)
err_msg = "\n".join([p_err_msg, raw_stderr, cluster_raw_stderr])
warn_msg = ""
# write the result status message to stderr if task failure
# doing this here to avoid having a double message
with open(qstderr, 'a') as f:
if rcode != 0:
if cstderr:
f.write(msg_ + "\n")
r = to_task_report(host, runnable_task.task.task_id, run_time, rcode, err_msg, warn_msg)
task_report_path = os.path.join(output_dir, 'task-report.json')
msg = "Writing task id {i} task report to {r}".format(r=task_report_path, i=runnable_task.task.task_id)
log.info(msg)
r.write_json(task_report_path)
return rcode, err_msg, run_time
def run_task_on_cluster(runnable_task, task_manifest_path, output_dir, debug_mode):
"""
:param runnable_task:
:param output_dir:
:param debug_mode:
:return:
:type runnable_task: RunnableTask
"""
def _to_p(x_):
return os.path.join(output_dir, x_)
stdout_ = _to_p('stdout')
stderr_ = _to_p('stderr')
if runnable_task.task.is_distributed is False:
return run_task(runnable_task, output_dir, stdout_, stderr_, debug_mode)
if runnable_task.cluster is None:
log.warn("No cluster provided. Running task locally.")
return run_task(runnable_task, output_dir, stdout_, stderr_, debug_mode)
os.chdir(runnable_task.task.output_dir)
env_json = os.path.join(output_dir, '.cluster-env.json')
IO.write_env_to_json(env_json)
# sloppy API
if isinstance(runnable_task.cluster, ClusterTemplateRender):
render = runnable_task.cluster
else:
ctmpls = [ClusterTemplate(name, tmpl) for name, tmpl in runnable_task.cluster.iteritems()]
render = ClusterTemplateRender(ctmpls)
job_id = to_random_job_id(runnable_task.task.task_id)
log.debug("Using job id {i}".format(i=job_id))
qstdout = _to_p('cluster.stdout')
qstderr = _to_p('cluster.stderr')
qshell = _to_p('cluster.sh')
rcmd_shell = _to_p('run.sh')
# This needs to be flattened due to the new RTC layer
# Task Manifest Runner output
stdout = _to_p('stdout')
stderr = _to_p('stderr')
mstdout = _to_p('mstdout')
mstderr = _to_p('mstderr')
with open(qstdout, 'w+') as f:
f.write("Creating cluster stdout for Job {i} {r}\n".format(i=job_id, r=runnable_task))
debug_str = " --debug "
exe = _resolve_exe("pbtools-runner")
_d = dict(x=exe,
t=task_manifest_path,
o=stdout,
e=stderr,
d=debug_str,
m=stdout,
n=stderr,
r=output_dir)
cmd = "{x} run {d} --output-dir=\"{r}\" --task-stderr=\"{e}\" --task-stdout=\"{o}\" \"{t}\" > \"{m}\" 2> \"{n}\"".format(**_d)
with open(rcmd_shell, 'w+') as x:
x.write(cmd + "\n")
# Make +x
os.chmod(rcmd_shell, os.stat(rcmd_shell).st_mode | stat.S_IEXEC)
cluster_cmd = render.render(ClusterConstants.START, rcmd_shell, job_id, qstdout, qstderr, runnable_task.task.nproc)
log.debug(cluster_cmd)
with open(qshell, 'w') as f:
f.write("#!/bin/bash\n")
f.write("set -o errexit\n")
f.write("set -o pipefail\n")
f.write("set -o nounset\n")
f.write(cluster_cmd + "\n")
f.write("exit $?")
os.chmod(qshell, os.stat(qshell).st_mode | stat.S_IEXEC)
# host = socket.getfqdn()
host = platform.node()
# so core dumps are written to the job dir
os.chdir(output_dir)
rcode, cstdout, cstderr, run_time = backticks("bash {q}".format(q=qshell))
log.info("Cluster command return code {r} in {s:.2f} sec".format(r=rcode, s=run_time))
if rcode == 0:
err_msg = ""
warn_msg = ""
else:
p_err_msg = "task {i} failed (exit-code {x}) after {r:.2f} sec".format(i=runnable_task.task.task_id, r=run_time, x=rcode)
raw_stderr = _extract_last_nlines(stderr)
cluster_raw_stderr = _extract_last_nlines(qstderr)
err_msg = "\n".join([p_err_msg, raw_stderr, cluster_raw_stderr])
warn_msg = ""
msg_ = "Completed running cluster command in {t:.2f} sec. Exit code {r} (task-type {i})".format(r=rcode, t=run_time, i=runnable_task.task.task_type_id)
log.info(msg_)
with open(qstdout, 'a') as qf:
qf.write(str(cstdout) + "\n")
qf.write(msg_ + "\n")
with open(qstderr, 'a') as f:
if rcode != 0:
f.write(str(cstderr) + "\n")
f.write(msg_ + "\n")
r = to_task_report(host, runnable_task.task.task_id, run_time, rcode, err_msg, warn_msg)
task_report_path = os.path.join(output_dir, 'task-report.json')
msg = "Writing task id {i} task report to {r}".format(r=task_report_path, i=runnable_task.task.task_id)
log.info(msg)
r.write_json(task_report_path)
return rcode, err_msg, run_time
def run_task_on_cluster(runnable_task, task_manifest_path, output_dir, debug_mode):
"""
:param runnable_task:
:param output_dir:
:param debug_mode:
:return:
:type runnable_task: RunnableTask
"""
def _to_p(x_):
return os.path.join(output_dir, x_)
stdout_ = _to_p('stdout')
stderr_ = _to_p('stderr')
if runnable_task.task.is_distributed is False:
return run_task(runnable_task, output_dir, stdout_, stderr_, debug_mode)
if runnable_task.cluster is None:
log.warn("No cluster provided. Running task locally.")
return run_task(runnable_task, output_dir, stdout_, stderr_, debug_mode)
os.chdir(runnable_task.task.output_dir)
env_json = os.path.join(output_dir, '.cluster-env.json')
IO.write_env_to_json(env_json)
# sloppy API
if isinstance(runnable_task.cluster, ClusterTemplateRender):
render = runnable_task.cluster
else:
ctmpls = [ClusterTemplate(name, tmpl) for name, tmpl in runnable_task.cluster.iteritems()]
render = ClusterTemplateRender(ctmpls)
job_id = to_random_job_id(runnable_task.task.task_id)
log.debug("Using job id {i}".format(i=job_id))
qstdout = _to_p('cluster.stdout')
qstderr = _to_p('cluster.stderr')
qshell = _to_p('cluster.sh')
rcmd_shell = _to_p('run.sh')
# This needs to be flattened due to the new RTC layer
# Task Manifest Runner output
stdout = _to_p('stdout')
stderr = _to_p('stderr')
with open(qstdout, 'w+') as f:
f.write("Creating cluster stdout for Job {i} {r}\n".format(i=job_id, r=runnable_task))
debug_str = " --debug "
exe = _resolve_exe("pbtools-runner")
_d = dict(x=exe,
t=task_manifest_path,
o=stdout,
e=stderr,
d=debug_str,
m=stdout,
n=stderr,
r=output_dir)
# the quoting here is explicitly to handle spaces in paths
cmd = "{x} run {d} --output-dir=\"{r}\" --task-stderr=\"{e}\" --task-stdout=\"{o}\" \"{t}\" > \"{m}\" 2> \"{n}\"".format(**_d)
# write the pbtools-runner exe command
with open(rcmd_shell, 'w+') as x:
x.write(cmd + "\n")
chmod_x(rcmd_shell)
cluster_cmd = render.render(ClusterConstants.START, rcmd_shell, job_id, qstdout, qstderr, runnable_task.task.nproc)
log.debug(cluster_cmd)
with open(qshell, 'w') as f:
f.write("#!/bin/bash\n")
f.write("set -o errexit\n")
f.write("set -o pipefail\n")
f.write("set -o nounset\n")
f.write(cluster_cmd + "\n")
f.write("exit $?")
chmod_x(qshell)
host = platform.node()
# so core dumps are written to the job dir
os.chdir(output_dir)
# Blocking call
rcode, cstdout, cstderr, run_time = backticks("bash {q}".format(q=qshell))
log.info("Cluster command return code {r} in {s:.2f} sec".format(r=rcode, s=run_time))
msg_t = "{n} Completed running cluster command in {t:.2f} sec. Exit code {r} (task-type {i})"
msg_ = msg_t.format(r=rcode, t=run_time, i=runnable_task.task.task_type_id, n=datetime.datetime.now())
log.info(msg_)
# Append the bash cluster.sh stderr and stdout call to
# the cluster.stderr and cluster.stdout
with open(qstdout, 'a') as qf:
if cstdout:
qf.write("\n".join(cstdout) + "\n")
qf.write(msg_ + "\n")
with open(qstderr, 'a') as f:
if rcode != 0:
if cstderr:
f.write(str(cstderr) + "\n")
# fundamental output error str message of this func
err_msg = ""
warn_msg = ""
if rcode != 0:
p_err_msg = "task {i} failed (exit-code {x}) after {r:.2f} sec".format(i=runnable_task.task.task_id, r=run_time, x=rcode)
raw_stderr = _extract_last_nlines(stderr)
cluster_raw_stderr = _extract_last_nlines(qstderr)
err_msg = "\n".join([p_err_msg, raw_stderr, cluster_raw_stderr])
warn_msg = ""
# write the result status message to stderr if task failure
# doing this here to avoid having a double message
with open(qstderr, 'a') as f:
if rcode != 0:
if cstderr:
f.write(msg_ + "\n")
r = to_task_report(host, runnable_task.task.task_id, run_time, rcode, err_msg, warn_msg)
task_report_path = os.path.join(output_dir, 'task-report.json')
msg = "Writing task id {i} task report to {r}".format(r=task_report_path, i=runnable_task.task.task_id)
log.info(msg)
r.write_json(task_report_path)
return rcode, err_msg, run_time
