def export_to_gui(self, soma_workflow_dirpath, **Xy):
'''
Example
-------
see the directory of "examples/run_somaworkflow_gui.py" in epac
'''
try:
from soma.workflow.client import Job, Workflow
from soma.workflow.client import Helper, FileTransfer
except ImportError:
errmsg = "No soma-workflow is found. "\
"Please verify your soma-worklow"\
"on your computer (e.g. PYTHONPATH) \n"
sys.stderr.write(errmsg)
sys.stdout.write(errmsg)
raise NoSomaWFError
if not os.path.exists(soma_workflow_dirpath):
os.makedirs(soma_workflow_dirpath)
tmp_work_dir_path = soma_workflow_dirpath
cur_work_dir = os.getcwd()
os.chdir(tmp_work_dir_path)
ft_working_directory = FileTransfer(is_input=True,
client_path=tmp_work_dir_path,
name="working directory")
## Save the database and tree to working directory
## ===============================================
np.savez(os.path.join(tmp_work_dir_path,
SomaWorkflowEngine.dataset_relative_path), **Xy)
store = StoreFs(dirpath=os.path.join(
tmp_work_dir_path,
SomaWorkflowEngine.tree_root_relative_path))
self.tree_root.save_tree(store=store)
## Subtree job allocation on disk
## ==============================
node_input = NodesInput(self.tree_root.get_key())
split_node_input = SplitNodesInput(self.tree_root,
num_processes=self.num_processes)
nodesinput_list = split_node_input.split(node_input)
keysfile_list = self._save_job_list(tmp_work_dir_path,
nodesinput_list)
## Build soma-workflow
## ===================
jobs = [Job(command=[u"epac_mapper",
u'--datasets', '"%s"' %
(SomaWorkflowEngine.dataset_relative_path),
u'--keysfile', '"%s"' %
(nodesfile)],
referenced_input_files=[ft_working_directory],
referenced_output_files=[ft_working_directory],
name="epac_job_key=%s" % (nodesfile),
working_directory=ft_working_directory)
for nodesfile in keysfile_list]
soma_workflow = Workflow(jobs=jobs)
if soma_workflow_dirpath and soma_workflow_dirpath != "":
out_soma_workflow_file = os.path.join(soma_workflow_dirpath,
SomaWorkflowEngine.open_me_by_soma_workflow_gui)
Helper.serialize(out_soma_workflow_file, soma_workflow)
os.chdir(cur_work_dir)
def _submit_graph(self, pyfiles, dependencies, nodes):
jobs = []
soma_deps = []
for idx, fname in enumerate(pyfiles):
name = os.path.splitext(os.path.split(fname)[1])[0]
jobs.append(Job(command=[sys.executable, fname], name=name))
for key, values in list(dependencies.items()):
for val in values:
soma_deps.append((jobs[val], jobs[key]))
wf = Workflow(jobs, soma_deps)
logger.info('serializing workflow')
Helper.serialize('workflow', wf)
controller = WorkflowController()
logger.info('submitting workflow')
wf_id = controller.submit_workflow(wf)
Helper.wait_workflow(wf_id, controller)
def _submit_graph(self, pyfiles, dependencies, nodes):
jobs = []
soma_deps = []
for idx, fname in enumerate(pyfiles):
name = os.path.splitext(os.path.split(fname)[1])[0]
jobs.append(Job(command=[sys.executable, fname], name=name))
for key, values in list(dependencies.items()):
for val in values:
soma_deps.append((jobs[val], jobs[key]))
wf = Workflow(jobs, soma_deps)
logger.info('serializing workflow')
Helper.serialize('workflow', wf)
controller = WorkflowController()
logger.info('submitting workflow')
wf_id = controller.submit_workflow(wf)
Helper.wait_workflow(wf_id, controller)
def test_result(self):
workflow = WorkflowTest.wf_examples.special_command()
self.wf_id = WorkflowTest.wf_ctrl.submit_workflow(workflow=workflow,
name="unit test command check")
if self.path_management == WorkflowTest.FILE_TRANSFER:
Helper.transfer_input_files(self.wf_id, WorkflowTest.wf_ctrl)
Helper.wait_workflow(self.wf_id, WorkflowTest.wf_ctrl)
status = self.wf_ctrl.workflow_status(self.wf_id)
self.assert_(status == constants.WORKFLOW_DONE)
self.assert_(len(Helper.list_failed_jobs(self.wf_id,
WorkflowTest.wf_ctrl)) == 0)
self.assert_(len(Helper.list_failed_jobs(self.wf_id,
WorkflowTest.wf_ctrl,
include_aborted_jobs=True)) == 0)
def run(self, **Xy):
'''Run soma-workflow without gui
Example
-------
>>> from sklearn import datasets
>>> from epac.map_reduce.engine import SomaWorkflowEngine
>>> from epac.tests.wfexamples2test import WFExample2
>>> ## Build dataset
>>> ## =============
>>> X, y = datasets.make_classification(n_samples=10,
... n_features=20,
... n_informative=5,
... random_state=1)
>>> Xy = {'X':X, 'y':y}
>>> ## Build epac tree
>>> ## ===============
>>> tree_root_node = WFExample2().get_workflow()
>>> ## Build SomaWorkflowEngine and run function for each node
>>> ## =======================================================
>>> sfw_engine = SomaWorkflowEngine(tree_root=tree_root_node,
... function_name="trasform",
... num_processes=3)
>>> tree_root_node = sfw_engine.run(**Xy)
>>> ## Run reduce process
>>> ## ==================
>>> tree_root_node.reduce()
ResultSet(
[{'key': SelectKBest/SVC(C=1), 'y/test/score_recall_mean/pval': [ 0.], 'y/test/score_recall/pval': [ 0. 0.], 'y/test/score_accuray': 0.8, 'y/test/score_f1/pval': [ 0. 0.], 'y/test/score_precision/pval': [ 0. 0.], 'y/test/score_precision': [ 0.8 0.8], 'y/test/score_recall': [ 0.8 0.8], 'y/test/score_f1': [ 0.8 0.8], 'y/test/score_recall_mean': 0.8, 'y/test/score_accuray/pval': [ 0.]},
{'key': SelectKBest/SVC(C=3), 'y/test/score_recall_mean/pval': [ 0.], 'y/test/score_recall/pval': [ 0. 0.], 'y/test/score_accuray': 0.8, 'y/test/score_f1/pval': [ 0. 0.], 'y/test/score_precision/pval': [ 0. 0.], 'y/test/score_precision': [ 0.8 0.8], 'y/test/score_recall': [ 0.8 0.8], 'y/test/score_f1': [ 0.8 0.8], 'y/test/score_recall_mean': 0.8, 'y/test/score_accuray/pval': [ 0.]}])
'''
try:
from soma.workflow.client import Job, Workflow
from soma.workflow.client import Helper, FileTransfer
from soma.workflow.client import WorkflowController
except ImportError:
errmsg = "No soma-workflow is found. "\
"Please verify your soma-worklow"\
"on your computer (e.g. PYTHONPATH) \n"
sys.stderr.write(errmsg)
sys.stdout.write(errmsg)
raise NoSomaWFError
tmp_work_dir_path = tempfile.mkdtemp()
cur_work_dir = os.getcwd()
os.chdir(tmp_work_dir_path)
ft_working_directory = FileTransfer(is_input=True,
client_path=tmp_work_dir_path,
name="working directory")
## Save the database and tree to working directory
## ===============================================
np.savez(os.path.join(tmp_work_dir_path,
SomaWorkflowEngine.dataset_relative_path), **Xy)
store = StoreFs(dirpath=os.path.join(
tmp_work_dir_path,
SomaWorkflowEngine.tree_root_relative_path))
self.tree_root.save_tree(store=store)
## Subtree job allocation on disk
## ==============================
node_input = NodesInput(self.tree_root.get_key())
split_node_input = SplitNodesInput(self.tree_root,
num_processes=self.num_processes)
nodesinput_list = split_node_input.split(node_input)
keysfile_list = self._save_job_list(tmp_work_dir_path,
nodesinput_list)
## Build soma-workflow
## ===================
jobs = [Job(command=[u"epac_mapper",
u'--datasets', '"%s"' %
(SomaWorkflowEngine.dataset_relative_path),
u'--keysfile', '"%s"' %
(nodesfile)],
referenced_input_files=[ft_working_directory],
referenced_output_files=[ft_working_directory],
name="epac_job_key=%s" % (nodesfile),
working_directory=ft_working_directory)
for nodesfile in keysfile_list]
soma_workflow = Workflow(jobs=jobs)
if not self.resource_id or self.resource_id == "":
self.resource_id = socket.gethostname()
controller = WorkflowController(self.resource_id,
self.login,
self.pw)
## run soma-workflow
## =================
wf_id = controller.submit_workflow(workflow=soma_workflow,
name="epac workflow")
Helper.transfer_input_files(wf_id, controller)
Helper.wait_workflow(wf_id, controller)
Helper.transfer_output_files(wf_id, controller)
if self.remove_finished_wf:
controller.delete_workflow(wf_id)
## read result tree
## ================
self.tree_root = store.load()
os.chdir(cur_work_dir)
if os.path.isdir(tmp_work_dir_path) and self.remove_local_tree:
shutil.rmtree(tmp_work_dir_path)
return self.tree_root
def export_to_gui(self, soma_workflow_dirpath, **Xy):
'''
Example
-------
see the directory of "examples/run_somaworkflow_gui.py" in epac
'''
try:
from soma.workflow.client import Job, Workflow
from soma.workflow.client import Helper, FileTransfer
except ImportError:
errmsg = "No soma-workflow is found. "\
"Please verify your soma-worklow"\
"on your computer (e.g. PYTHONPATH) \n"
sys.stderr.write(errmsg)
sys.stdout.write(errmsg)
raise NoSomaWFError
if not os.path.exists(soma_workflow_dirpath):
os.makedirs(soma_workflow_dirpath)
tmp_work_dir_path = soma_workflow_dirpath
cur_work_dir = os.getcwd()
os.chdir(tmp_work_dir_path)
ft_working_directory = FileTransfer(is_input=True,
client_path=tmp_work_dir_path,
name="working directory")
## Save the database and tree to working directory
## ===============================================
np.savez(
os.path.join(tmp_work_dir_path,
SomaWorkflowEngine.dataset_relative_path), **Xy)
store = StoreFs(dirpath=os.path.join(
tmp_work_dir_path, SomaWorkflowEngine.tree_root_relative_path))
self.tree_root.save_tree(store=store)
## Subtree job allocation on disk
## ==============================
node_input = NodesInput(self.tree_root.get_key())
split_node_input = SplitNodesInput(self.tree_root,
num_processes=self.num_processes)
nodesinput_list = split_node_input.split(node_input)
keysfile_list = self._save_job_list(tmp_work_dir_path, nodesinput_list)
## Build soma-workflow
## ===================
jobs = [
Job(command=[
u"epac_mapper", u'--datasets',
'"%s"' % (SomaWorkflowEngine.dataset_relative_path),
u'--keysfile',
'"%s"' % (nodesfile)
],
referenced_input_files=[ft_working_directory],
referenced_output_files=[ft_working_directory],
name="epac_job_key=%s" % (nodesfile),
working_directory=ft_working_directory)
for nodesfile in keysfile_list
]
soma_workflow = Workflow(jobs=jobs)
if soma_workflow_dirpath and soma_workflow_dirpath != "":
out_soma_workflow_file = os.path.join(
soma_workflow_dirpath,
SomaWorkflowEngine.open_me_by_soma_workflow_gui)
Helper.serialize(out_soma_workflow_file, soma_workflow)
os.chdir(cur_work_dir)
def run(self, **Xy):
'''Run soma-workflow without gui
Example
-------
>>> from sklearn import datasets
>>> from epac.map_reduce.engine import SomaWorkflowEngine
>>> from epac.tests.wfexamples2test import WFExample2
>>> ## Build dataset
>>> ## =============
>>> X, y = datasets.make_classification(n_samples=10,
... n_features=20,
... n_informative=5,
... random_state=1)
>>> Xy = {'X':X, 'y':y}
>>> ## Build epac tree
>>> ## ===============
>>> tree_root_node = WFExample2().get_workflow()
>>> ## Build SomaWorkflowEngine and run function for each node
>>> ## =======================================================
>>> sfw_engine = SomaWorkflowEngine(tree_root=tree_root_node,
... function_name="trasform",
... num_processes=3)
>>> tree_root_node = sfw_engine.run(**Xy)
>>> ## Run reduce process
>>> ## ==================
>>> tree_root_node.reduce()
ResultSet(
[{'key': SelectKBest/SVC(C=1), 'y/test/score_recall_mean/pval': [ 0.], 'y/test/score_recall/pval': [ 0. 0.], 'y/test/score_accuray': 0.8, 'y/test/score_f1/pval': [ 0. 0.], 'y/test/score_precision/pval': [ 0. 0.], 'y/test/score_precision': [ 0.8 0.8], 'y/test/score_recall': [ 0.8 0.8], 'y/test/score_f1': [ 0.8 0.8], 'y/test/score_recall_mean': 0.8, 'y/test/score_accuray/pval': [ 0.]},
{'key': SelectKBest/SVC(C=3), 'y/test/score_recall_mean/pval': [ 0.], 'y/test/score_recall/pval': [ 0. 0.], 'y/test/score_accuray': 0.8, 'y/test/score_f1/pval': [ 0. 0.], 'y/test/score_precision/pval': [ 0. 0.], 'y/test/score_precision': [ 0.8 0.8], 'y/test/score_recall': [ 0.8 0.8], 'y/test/score_f1': [ 0.8 0.8], 'y/test/score_recall_mean': 0.8, 'y/test/score_accuray/pval': [ 0.]}])
'''
try:
from soma.workflow.client import Job, Workflow
from soma.workflow.client import Helper, FileTransfer
from soma.workflow.client import WorkflowController
except ImportError:
errmsg = "No soma-workflow is found. "\
"Please verify your soma-worklow"\
"on your computer (e.g. PYTHONPATH) \n"
sys.stderr.write(errmsg)
sys.stdout.write(errmsg)
raise NoSomaWFError
tmp_work_dir_path = tempfile.mkdtemp()
cur_work_dir = os.getcwd()
os.chdir(tmp_work_dir_path)
ft_working_directory = FileTransfer(is_input=True,
client_path=tmp_work_dir_path,
name="working directory")
## Save the database and tree to working directory
## ===============================================
np.savez(
os.path.join(tmp_work_dir_path,
SomaWorkflowEngine.dataset_relative_path), **Xy)
store = StoreFs(dirpath=os.path.join(
tmp_work_dir_path, SomaWorkflowEngine.tree_root_relative_path))
self.tree_root.save_tree(store=store)
## Subtree job allocation on disk
## ==============================
node_input = NodesInput(self.tree_root.get_key())
split_node_input = SplitNodesInput(self.tree_root,
num_processes=self.num_processes)
nodesinput_list = split_node_input.split(node_input)
keysfile_list = self._save_job_list(tmp_work_dir_path, nodesinput_list)
## Build soma-workflow
## ===================
jobs = [
Job(command=[
u"epac_mapper", u'--datasets',
'"%s"' % (SomaWorkflowEngine.dataset_relative_path),
u'--keysfile',
'"%s"' % (nodesfile)
],
referenced_input_files=[ft_working_directory],
referenced_output_files=[ft_working_directory],
name="epac_job_key=%s" % (nodesfile),
working_directory=ft_working_directory)
for nodesfile in keysfile_list
]
soma_workflow = Workflow(jobs=jobs)
if not self.resource_id or self.resource_id == "":
self.resource_id = socket.gethostname()
controller = WorkflowController(self.resource_id, self.login, self.pw)
## run soma-workflow
## =================
wf_id = controller.submit_workflow(workflow=soma_workflow,
name="epac workflow")
Helper.transfer_input_files(wf_id, controller)
Helper.wait_workflow(wf_id, controller)
Helper.transfer_output_files(wf_id, controller)
controller.delete_workflow(wf_id)
## read result tree
## ================
self.tree_root = store.load()
os.chdir(cur_work_dir)
if os.path.isdir(tmp_work_dir_path):
shutil.rmtree(tmp_work_dir_path)
return self.tree_root
from soma.workflow.client import Helper
# FileTransfer creation for input files
myfile = FileTransfer(is_input=True,
client_path="/tmp/soma_workflow_examples/myfile",
name="myfile")
# FileTransfer creation for output files
copy_of_myfile = FileTransfer(is_input=False,
client_path="/tmp/soma_workflow_examples/copy_of_myfile",
name="copy of my file")
# Job and Workflow
copy_job = Job(command=["cp", myfile, copy_of_myfile],
name="copy",
referenced_input_files=[myfile],
referenced_output_files=[copy_of_myfile])
workflow = Workflow(jobs=[copy_job],
dependencies=[])
# submit the workflow
controller = WorkflowController("jinpeng-Latitude-E6530", "jinpeng")
wf_id = controller.submit_workflow(workflow=workflow,
name="simple transfer")
Helper.transfer_input_files(wf_id, controller)
Helper.wait_workflow(wf_id, controller)
Helper.transfer_output_files(wf_id, controller)
controller.delete_workflow(wf_id)
workflows.append(("multiple", simple_wf_examples.multiple_simple_example()))
workflows.append(("special_command", simple_wf_examples.special_command()))
workflows.append(("mutiple_transfer", tr_wf_examples.multiple_simple_example()))
workflows.append(("special_command_transfer", tr_wf_examples.special_command()))
workflows.append(("special_transfer", tr_wf_examples.special_transfer()))
workflows.append(("mutiple_crp", srp_wf_examples.multiple_simple_example()))
workflows.append(("special_command_crp", srp_wf_examples.special_command()))
ret_value = 0
for workflow_name, workflow in workflows:
print "--------------------------------------------------------------"
print workflow_name
file_path = os.path.join(directory, "json_" + workflow_name + ".wf")
Helper.serialize(file_path, workflow)
new_workflow = Helper.unserialize(file_path)
if not new_workflow.attributs_equal(workflow):
print "FAILED !!"
ret_value = 1
else:
print "OK"
try:
os.remove(file_path)
except IOError:
pass
if ret_value == 0:
logger.info("epd_to_deploy " + repr(options.epd_to_deploy))
logger.info("untar_directory " + repr(options.untar_directory))
sch = MPIScheduler(comm, interval=1, nb_attempt_per_job=options.nb_attempt_per_job)
config.disable_queue_limits()
workflow_engine = ConfiguredWorkflowEngine(database_server,
sch,
config)
if options.workflow_file and os.path.exists(options.workflow_file):
workflow_file = options.workflow_file
logger.info(" ")
logger.info("******* submission of worklfow **********")
logger.info("workflow file: " + repr(workflow_file))
workflow = Helper.unserialize(workflow_file)
workflow_engine.submit_workflow(workflow,
expiration_date=None,
name=None,
queue=None)
if options.wf_id_to_restart != None:
workflow_id = options.wf_id_to_restart
logger.info(" ")
logger.info("******* restart worklfow **********")
logger.info("workflow if: " + repr(workflow_id))
workflow_engine.stop_workflow(workflow_id)
workflow_engine.restart_workflow(workflow_id, queue=None)
while not workflow_engine.engine_loop.are_jobs_and_workflow_done():
time.sleep(2)
for slave in range(1, comm.size):
def test_result(self):
workflow = WorkflowTest.wf_examples.multiple_simple_example()
self.wf_id = WorkflowTest.wf_ctrl.submit_workflow(workflow=workflow,
name="unit test multiple")
if self.path_management == WorkflowTest.FILE_TRANSFER:
Helper.transfer_input_files(self.wf_id, WorkflowTest.wf_ctrl)
Helper.wait_workflow(self.wf_id, WorkflowTest.wf_ctrl)
if self.path_management == WorkflowTest.FILE_TRANSFER:
Helper.transfer_output_files(self.wf_id, WorkflowTest.wf_ctrl)
status = self.wf_ctrl.workflow_status(self.wf_id)
fail_jobs=Helper.list_failed_jobs(self.wf_id, WorkflowTest.wf_ctrl)
# num_list_fail_jobs=len(fail_jobs)
# print "num_list_fail_jobs=" + repr(num_list_fail_jobs)
# for fail_job_id in fail_jobs:
# print "fail job id :" +repr(fail_job_id)+"\n"
(jobs_info,
transfers_info,
workflow_status,
workflow_queue) = WorkflowTest.wf_ctrl.workflow_elements_status(self.wf_id)
# print "len(jobs_info)=" + repr(len(jobs_info)) + "\n"
# TODO: check the stdout and stderrr
for (job_id, tmp_status, queue, exit_info, dates) in jobs_info:
# print "job_id=" +repr(job_id)+"\n"
job_list=self.wf_ctrl.jobs([job_id])
#print 'len(job_list)='+repr(len(job_list))+"\n"
job_name, job_command, job_submission_date=job_list[job_id]
# print "name=" +repr(job_name)+"\n"
# print "command=" +repr(job_command)+"\n"
# print "submission=" +repr(job_submission_date)+"\n"
# print "tmp_status=" +repr(tmp_status)+"\n"
# print "exit_info=" +repr(exit_info)+"\n"
# print "dates=" +repr(dates)+"\n"
##To check job standard out
if repr(job_name)=="'job1'" and exit_info[0]==constants.FINISHED_REGULARLY:
#print "Verify "+repr(job_name)+" \n"
job_stdout_file="/tmp/job_soma_out_log_"+repr(job_id)
job_stderr_file="/tmp/job_soma_outerr_log_"+repr(job_id)
self.wf_ctrl.retrieve_job_stdouterr(job_id,job_stdout_file,job_stderr_file)
isSame, msg = identicalFiles(job_stdout_file,WorkflowTest.wf_examples.lo_stdout1)
self.failUnless(isSame == True)
if self.path_management==WorkflowTest.LOCAL_PATH:
isSame, msg = identicalFiles(WorkflowTest.wf_examples.lo_out_model_file11, WorkflowTest.wf_examples.lo_file11)
self.failUnless(isSame == True)
isSame, msg = identicalFiles(WorkflowTest.wf_examples.lo_out_model_file12, WorkflowTest.wf_examples.lo_file12)
self.failUnless(isSame == True)
isSame, msg = identicalFiles(job_stderr_file,WorkflowTest.wf_examples.lo_stderr1)
self.failUnless(isSame == True)
if self.path_management==WorkflowTest.FILE_TRANSFER:
isSame, msg = identicalFiles(WorkflowTest.wf_examples.lo_out_model_file11, WorkflowTest.wf_examples.tr_file11.client_path)
self.failUnless(isSame == True)
isSame, msg = identicalFiles(WorkflowTest.wf_examples.lo_out_model_file12, WorkflowTest.wf_examples.tr_file12.client_path)
self.failUnless(isSame == True)
#For unknown reason, it raise some errors
#http://stackoverflow.com/questions/10496758/unexpected-end-of-file-and-error-importing-function-definition-error-running
#isSame, msg = identicalFiles(job_stderr_file,WorkflowTest.wf_examples.lo_stderr1)
#self.failUnless(isSame == True)
if repr(job_name)=="'job1 with exception'" and exit_info[0]==constants.FINISHED_REGULARLY:
#print "Verify "+repr(job_name)+" \n"
job_stdout_file="/tmp/job_soma_out_log_"+repr(job_id)
job_stderr_file="/tmp/job_soma_outerr_log_"+repr(job_id)
self.wf_ctrl.retrieve_job_stdouterr(job_id,job_stdout_file,job_stderr_file)
isSame, msg = identicalFiles(job_stdout_file,WorkflowTest.wf_examples.lo_stdout1_exception_model)
self.failUnless(isSame == True)
if repr(job_name)=="'job2'" and exit_info[0]==constants.FINISHED_REGULARLY:
#print "Verify "+repr(job_name)+" \n"
job_stdout_file="/tmp/job_soma_out_log_"+repr(job_id)
job_stderr_file="/tmp/job_soma_outerr_log_"+repr(job_id)
self.wf_ctrl.retrieve_job_stdouterr(job_id,job_stdout_file,job_stderr_file)
if self.path_management==WorkflowTest.FILE_TRANSFER:
isSame, msg = identicalFiles(WorkflowTest.wf_examples.tr_file2.client_path, WorkflowTest.wf_examples.lo_out_model_file2)
if self.path_management==WorkflowTest.LOCAL_PATH:
isSame, msg = identicalFiles(WorkflowTest.wf_examples.lo_file2, WorkflowTest.wf_examples.lo_out_model_file2)
self.failUnless(isSame == True)
isSame, msg = identicalFiles(job_stderr_file,WorkflowTest.wf_examples.lo_stderr2)
self.failUnless(isSame == True)
isSame, msg = identicalFiles(job_stdout_file,WorkflowTest.wf_examples.lo_stdout2)
self.failUnless(isSame == True)
if repr(job_name)=="'job3'" and exit_info[0]==constants.FINISHED_REGULARLY:
#print "Verify "+repr(job_name)+" \n"
job_stdout_file="/tmp/job_soma_out_log_"+repr(job_id)
job_stderr_file="/tmp/job_soma_outerr_log_"+repr(job_id)
self.wf_ctrl.retrieve_job_stdouterr(job_id,job_stdout_file,job_stderr_file)
isSame, msg = identicalFiles(job_stdout_file,WorkflowTest.wf_examples.lo_stdout3)
self.failUnless(isSame == True)
if self.path_management==WorkflowTest.LOCAL_PATH:
isSame, msg = identicalFiles(job_stderr_file,WorkflowTest.wf_examples.lo_stderr3)
self.failUnless(isSame == True)
isSame, msg = identicalFiles(WorkflowTest.wf_examples.lo_file3, WorkflowTest.wf_examples.lo_out_model_file3)
self.failUnless(isSame == True)
if self.path_management==WorkflowTest.FILE_TRANSFER:
isSame, msg = identicalFiles(WorkflowTest.wf_examples.tr_file3.client_path, WorkflowTest.wf_examples.lo_out_model_file3)
self.failUnless(isSame == True)
if repr(job_name)=="'job4'" and exit_info[0]==constants.FINISHED_REGULARLY:
#print "Verify "+repr(job_name)+" \n"
job_stdout_file="/tmp/job_soma_out_log_"+repr(job_id)
job_stderr_file="/tmp/job_soma_outerr_log_"+repr(job_id)
self.wf_ctrl.retrieve_job_stdouterr(job_id,job_stdout_file,job_stderr_file)
isSame, msg = identicalFiles(job_stdout_file,WorkflowTest.wf_examples.lo_stdout4)
self.failUnless(isSame == True)
if self.path_management==WorkflowTest.LOCAL_PATH:
isSame, msg = identicalFiles(WorkflowTest.wf_examples.lo_file4, WorkflowTest.wf_examples.lo_out_model_file4)
self.failUnless(isSame == True)
isSame, msg = identicalFiles(job_stderr_file,WorkflowTest.wf_examples.lo_stderr4)
self.failUnless(isSame == True)
if self.path_management==WorkflowTest.FILE_TRANSFER:
isSame, msg = identicalFiles(WorkflowTest.wf_examples.tr_file4.client_path, WorkflowTest.wf_examples.lo_out_model_file4)
self.failUnless(isSame == True)
if repr(job_name)=="'job3 with exception'" and exit_info[0]==constants.FINISHED_REGULARLY:
#print "Verify "+repr(job_name)+" \n"
job_stdout_file="/tmp/job_soma_out_log_"+repr(job_id)
job_stderr_file="/tmp/job_soma_outerr_log_"+repr(job_id)
self.wf_ctrl.retrieve_job_stdouterr(job_id,job_stdout_file,job_stderr_file)
isSame, msg = identicalFiles(job_stdout_file,WorkflowTest.wf_examples.lo_stdout1_exception_model)
self.failUnless(isSame == True)
self.assert_(status == constants.WORKFLOW_DONE)
self.assert_(len(Helper.list_failed_jobs(self.wf_id,
WorkflowTest.wf_ctrl)) == 2)
self.assert_(len(Helper.list_failed_jobs(self.wf_id,
WorkflowTest.wf_ctrl,
include_aborted_jobs=True)) == 6)
