def createTask(self):
"""create a task with some defaults"""
from Ganga.GPI import tasks, CoreTask, CoreTransform, Executable, GenericSplitter
t = CoreTask()
trf = CoreTransform()
trf.application = Executable()
trf.unit_splitter = GenericSplitter()
trf.unit_splitter.attribute = "application.args"
trf.unit_splitter.values = ['arg 1', 'arg 2', 'arg 3']
t.appendTransform(trf)
t.float = 20
return t
def createTask(self):
"""create a task with some defaults"""
from Ganga.GPI import tasks, CoreTask, CoreTransform, Executable, GenericSplitter
t = CoreTask()
trf = CoreTransform()
trf.application = Executable()
trf.unit_splitter = GenericSplitter()
trf.unit_splitter.attribute = "application.args"
trf.unit_splitter.values = ['arg 1', 'arg 2', 'arg 3']
t.appendTransform(trf)
t.float = 20
return t
def test_k_Tasks(self):
from Ganga.GPI import CoreTask, CoreTransform, Executable, Local, GenericSplitter, LocalFile, GangaDataset, \
GangaDatasetSplitter, TaskChainInput, File, tasks
# -- TASKS EXAMPLE START
# First create the overall Task
t = CoreTask()
# Now create the Transform ( -> Job template)
trf = CoreTransform()
trf.application = Executable()
trf.backend = Local()
# Set the unit splitter (unique to CoreTransform - you may have better ways of creating units in your own
# plugins). This will create a unit based on the splitting of any given splitter
# If you put in your own splitter here, use the trf.fields_to_copy string list to tell Tasks which fields of
# a Job to preserve from the split. Here, Tasks already knows about GenericSplitter and knows that we want to
# change the 'application' object for each Unit/Master Job
trf.unit_splitter = GenericSplitter()
trf.unit_splitter.attribute = "application.args"
trf.unit_splitter.values = ['arg 1', 'arg 2', 'arg 3']
# Append the transform
t.appendTransform(trf)
# set the maximum number of active jobs to have running (allows for throttling)
t.float = 100
# run the Task
t.run()
# -- TASKS EXAMPLE STOP
# -- TASKS OVERVIEW START
tasks
tasks(0).overview()
# -- TASKS OVERVIEW STOP
t = CoreTask()
trf = CoreTransform()
trf.application = Executable()
trf.backend = Local()
trf.unit_splitter = GenericSplitter()
trf.unit_splitter.attribute = "application.args"
trf.unit_splitter.values = ['arg 1', 'arg 2', 'arg 3']
t.appendTransform(trf)
t.float = 100
# -- TASKS OPTIONS START
# note - done at the transform level rather than task level as different backends may not need it
trf.max_active_threads = 10 # optional - specifies the max number of submissions to queue up
trf.submit_with_threads = True
# -- TASKS OPTIONS STOP
# -- TASKS JOBCHAIN START
# Create a test script
open('my_script3.sh', 'w').write("""#!/bin/bash
echo $PATH
ls -ltr
more __GangaInputData.txt__
echo "MY TEST FILE" > output_file.txt
sleep 120
""")
# Create the parent task
t = CoreTask()
# Create the first transform
trf1 = CoreTransform()
trf1.application = Executable()
trf1.application.exe = File('my_script3.sh')
trf1.outputfiles = [LocalFile("*.txt")]
d = GangaDataset()
d.files = [LocalFile("*.txt")]
d.treat_as_inputfiles = True
trf1.addInputData(d)
trf1.files_per_unit = 1
trf1.submit_with_threads = True
trf1.splitter = GangaDatasetSplitter()
trf1.splitter.files_per_subjob = 2
trf1.backend = Local()
t.appendTransform(trf1)
# Create the second transform
trf2 = CoreTransform()
trf2.application = Executable()
trf1.application.exe = File('my_script3.sh')
trf2.submit_with_threads = True
d = TaskChainInput()
d.input_trf_id = trf1.getID()
trf2.addInputData(d)
trf2.splitter = GangaDatasetSplitter()
trf2.splitter.files_per_subjob = 2
trf2.backend = Local()
t.appendTransform(trf2)
# Set the Task running
t.float = 1
t.run()
def test_k_Tasks(self):
from Ganga.GPI import CoreTask, CoreTransform, Executable, Local, GenericSplitter, LocalFile, GangaDataset, \
GangaDatasetSplitter, TaskChainInput, File, tasks
# -- TASKS EXAMPLE START
# First create the overall Task
t = CoreTask()
# Now create the Transform ( -> Job template)
trf = CoreTransform()
trf.application = Executable()
trf.backend = Local()
# Set the unit splitter (unique to CoreTransform - you may have better ways of creating units in your own
# plugins). This will create a unit based on the splitting of any given splitter
# If you put in your own splitter here, use the trf.fields_to_copy string list to tell Tasks which fields of
# a Job to preserve from the split. Here, Tasks already knows about GenericSplitter and knows that we want to
# change the 'application' object for each Unit/Master Job
trf.unit_splitter = GenericSplitter()
trf.unit_splitter.attribute = "application.args"
trf.unit_splitter.values = ['arg 1', 'arg 2', 'arg 3']
# Append the transform
t.appendTransform(trf)
# set the maximum number of active jobs to have running (allows for throttling)
t.float = 100
# run the Task
t.run()
# -- TASKS EXAMPLE STOP
# -- TASKS OVERVIEW START
tasks
tasks(0).overview()
# -- TASKS OVERVIEW STOP
t = CoreTask()
trf = CoreTransform()
trf.application = Executable()
trf.backend = Local()
trf.unit_splitter = GenericSplitter()
trf.unit_splitter.attribute = "application.args"
trf.unit_splitter.values = ['arg 1', 'arg 2', 'arg 3']
t.appendTransform(trf)
t.float = 100
# -- TASKS OPTIONS START
# note - done at the transform level rather than task level as different backends may not need it
trf.max_active_threads = 10 # optional - specifies the max number of submissions to queue up
trf.submit_with_threads = True
# -- TASKS OPTIONS STOP
# -- TASKS JOBCHAIN START
# Create a test script
open('my_script3.sh', 'w').write("""#!/bin/bash
echo $PATH
ls -ltr
more __GangaInputData.txt__
echo "MY TEST FILE" > output_file.txt
sleep 120
""")
# Create the parent task
t = CoreTask()
# Create the first transform
trf1 = CoreTransform()
trf1.application = Executable()
trf1.application.exe = File('my_script3.sh')
trf1.outputfiles = [LocalFile("*.txt")]
d = GangaDataset()
d.files = [LocalFile("*.txt")]
d.treat_as_inputfiles = True
trf1.addInputData(d)
trf1.files_per_unit = 1
trf1.submit_with_threads = True
trf1.splitter = GangaDatasetSplitter()
trf1.splitter.files_per_subjob = 2
trf1.backend = Local()
t.appendTransform(trf1)
# Create the second transform
trf2 = CoreTransform()
trf2.application = Executable()
trf1.application.exe = File('my_script3.sh')
trf2.submit_with_threads = True
d = TaskChainInput()
d.input_trf_id = trf1.getID()
trf2.addInputData(d)
trf2.splitter = GangaDatasetSplitter()
trf2.splitter.files_per_subjob = 2
trf2.backend = Local()
t.appendTransform(trf2)
# Set the Task running
t.float = 1
t.run()