'proj': mayaProjPath,
'scene': mayaScenePath,
's': startFrame,
'e': endFrame,
'packetSize': packetSize,
'framesList': framesList,
'rx': resX,
'ry': resY,
'cam': camera,
'as': '1',
'o': outFileFormat,
'pad': paddingSize,
'f': renderDirPath,
'p': outFileNamePrefix
}
tags = { "prod":"test", "shot":"test" }
decomposer='puliclient.contrib.puliDbg.mtoa.MtoaDecomposer'
graph = Graph('mtoa_graph', tags=tags, poolName='default' )
graph.addNewTask( "mtoa_task", tags=tags, arguments=arguments, decomposer=decomposer, lic="shave&mtoa" )
graph.submit("vfxpc64", 8004)
# graph.execute()
from puliclient import Task, Graph
if __name__ == '__main__':
simpleTask = Task(name="simpleTask",
arguments={},
decomposer="puliclient.contrib.generic.GenericDecomposer")
graph = Graph('simpleGraph', simpleTask)
host, port = ("127.0.0.1", 8004)
graph.submit(host, port)
tags = { "prod":"test", "shot":"test", "nbFrames":options.num }
#
# Create custom graph
#
simpleTask = Task( name=options.jobname, arguments=args, tags=tags, runner="puliclient.contrib.commandlinerunner.CommandLineRunner", lic="katana" )
# simpleTask = Task( name="T-Generic", arguments=args, tags=tags, runner="puliclient.contrib.debug.WaitRunner" )
graph = Graph( options.jobname, simpleTask, tags=tags, poolName='default' )
# graph.addNewTask( name="T1", arguments={ "args": command, "start":1, "end":5, "packetSize":1 }, tags={ "prod":"test", "shot":"test", "nbFrames":5}, runner=runner )
#
#
# g1 = graph.addNewTaskGroup( name="group1", tags=tags )
# g1.addTask( simpleTask )
# g1.addNewTask( name="T2", arguments={ "args": command, "start":1, "end":1, "packetSize":1 }, tags={ "prod":"test", "shot":"test", "nbFrames":1}, runner=runner )
# g1.addNewTask( name="T3", arguments={ "args": command, "start":1, "end":1, "packetSize":1 }, tags={ "prod":"test", "shot":"test", "nbFrames":1}, runner=runner )
#
# graph.addNewTask( name="T4", arguments={ "args": command, "start":1, "end":10, "packetSize":1 }, tags={ "prod":"test", "shot":"test", "nbFrames":10}, runner=runner )
if options.dump:
print graph
#
# Execute
#
if options.execute:
graph.execute()
else:
graph.submit(options.hostname, options.port)
#!/usr/bin/python
# coding: utf-8
import sys
sys.path.insert(0,"/s/apps/lin/vfx_test_apps/OpenRenderManagement/Puli/src")
from puliclient import Task, Graph
# command = "nuke -x -F %%MI_FRAME%% ma_comp.nk"
# command = "nuke -x -F %%MI_START%%-%%MI_END%% ma_comp.nk"
# command = "echo currFrame=%%MI_FRAME%% in [%%MI_START%%-%%MI_END%%]"
command = "sleep %%MI_FRAME%%s"
arguments={ 'cmd':command, 'start':1, 'end':50 , 'packetSize':10}
tags = { "prod":"test", "shot":"test" }
graph = Graph('Testing DefaultRunner', tags=tags, poolName='default' )
task1 = graph.addNewTask( "TASK_1", tags=tags, arguments=arguments )
graph.submit( "puliserver", 8004)
#
# Pour une execution en local
#
#graph.execute()
parser.add_argument('nbTasks',
metavar='NB_TASK',
type=int,
help='Number of task by group.')
parser.add_argument('nbCmds',
metavar='NB_CMD',
type=int,
help='Number of commands by task')
parser.add_argument('server',
metavar='SERVER',
type=str,
help='Name of the server on which to submit job')
parser.add_argument('--sleep', type=int, default=5, help='Sleep duration in s')
args = parser.parse_args()
# Create graph
runner = "puliclient.contrib.generic.GenericRunner"
name = "Job_Test"
tags = {"prod": "mikros_test", "comment": "JOB TEST", "nbFrames": 1}
puliGraph = Graph(name, poolName='mik', tags=tags, maxRN=5)
print "NB_GROUP = " + str(args.nbGroups)
print "NB_TASK = " + str(args.nbTasks)
print "NB_CMD = " + str(args.nbCmds)
print "SERVER = " + args.server
createFolderNodes(puliGraph, args.nbGroups, args.nbTasks, args.nbCmds,
args.sleep)
puliGraph.submit(args.server, 8004)
if __name__ == "__main__":
#
# Submission script
#
tags = {
"prod": "prod_name",
"shot": "shot_code",
# Add any valuable info relative to the job here: type, step, version, iteration...
}
# First we create a graph
# Added to the graph is a dict of tags that will be used to clarify the job process
graph = Graph('simple job', tags=tags)
# To define a Task, we need 3 arguments :
# - its name
# - a runner is a python class that defines the workflow execution for a given job type.
# Here, we will use MyRunner which has been declared previously
# - an arguments dict
name = "wait 10s"
runner = "example.MyRunner"
arguments = {"wait": 10}
# Then add a new task to the graph
graph.addNewTask(name, runner=runner, arguments=arguments)
# Finally submit the graph to the server
graph.submit("pulitest", 8004)
def submit(job, poolName=None):
g = Graph(job.name, job, username(), poolName)
print g.submit(gethost(), getport())
help='Number of task by group.')
parser.add_argument('nbCmds',
metavar='NB_CMD',
type=int,
help='Number of commands by task')
parser.add_argument('server',
metavar='SERVER',
type=str,
help='Name of the server on which to submit job')
parser.add_argument('--sleep',
type=int,
default=5,
help='Sleep duration in s')
args = parser.parse_args()
# Create graph
runner = "puliclient.contrib.generic.GenericRunner"
name = "Job_Test"
tags = {"prod": "mikros_test", "comment": "JOB TEST", "nbFrames": 1}
puliGraph = Graph(name, poolName='mik', tags=tags, maxRN=5)
print "NB_GROUP = " + str(args.nbGroups)
print "NB_TASK = " + str(args.nbTasks)
print "NB_CMD = " + str(args.nbCmds)
print "SERVER = " + args.server
createFolderNodes(puliGraph, args.nbGroups, args.nbTasks, args.nbCmds, args.sleep)
puliGraph.submit(args.server, 8004)
if __name__ == "__main__":
#
# Submission script
#
tags = {
"prod": "prod_name",
"shot": "shot_code",
# Add any valuable info relative to the job here: type, step, version, iteration...
}
# First we create a graph
# Added to the graph is a dict of tags that will be used to clarify the job process
graph = Graph("simple job", tags=tags)
# To define a Task, we need 3 arguments :
# - its name
# - a runner is a python class that defines the workflow execution for a given job type.
# Here, we will use MyRunner which has been declared previously
# - an arguments dict
name = "wait 10s"
runner = "example.MyRunner"
arguments = {"wait": 10}
# Then add a new task to the graph
graph.addNewTask(name, runner=runner, arguments=arguments)
# Finally submit the graph to the server
graph.submit("pulitest", 8004)
tags = { "prod":"test", "shot":"test" }
decomposer = "puliclient.contrib.generic.GenericDecomposer"
graph = Graph('simpleGraph', tags=tags)
task1 = graph.addNewTask(name="task1", arguments=args, tags=tags)
task2 = graph.addNewTask(name="task2", arguments=args, tags=tags)
task3 = graph.addNewTask(name="task3", arguments=args, tags=tags)
task4 = graph.addNewTask(name="task4", arguments=args, tags=tags)
task5 = graph.addNewTask(name="task5", arguments=args, tags=tags)
task6 = graph.addNewTask(name="task6", arguments=args, tags=tags)
# Create a chain of dependencies, execution order will be:
# task1 > task4 > task3 > task2 > task5 > task6
graph.addChain( [task1, task4, task3, task2, task5, task6] )
graph.submit(host="vfxpc64")
# PREVIOUS METHOD (still valid)
# task1 = Task(name="task1", arguments=args, decomposer=decomposer)
# task2 = Task(name="task2", arguments=args, decomposer=decomposer)
# task3 = Task(name="task3", arguments=args, decomposer=decomposer)
# task4 = Task(name="task4", arguments=args, decomposer=decomposer)
# task5 = Task(name="task5", arguments=args, decomposer=decomposer)
# task6 = Task(name="task6", arguments=args, decomposer=decomposer)
# mainTG = TaskGroup( name="group" )
# mainTG.addTask(task1)
# mainTG.addTask(task2)
# mainTG.addTask(task3)
# mainTG.addTask(task4)
# First we create a graph
# Added to the graph is a dict of tags that will be used to clarify the job process
graph = Graph('job with callable', tags=tags)
# First task
name = "callable function"
graph.addNewCallable(
myFunction,
"callable function",
user_args=("param1", "param2"),
user_kwargs={"wait": 10},
)
# Second task
name = "callable method"
graph.addNewCallable(
MyClass.myMethod,
"callable method",
user_args=(),
user_kwargs={
"param1": "first_param",
"param2": "second_param",
"wait": 10
},
)
# Finally submit the graph to the server
graph.submit("vfxpc64", 8004)
def submit(job, poolName=None, maxRN=-1):
g = Graph(job.name, job, username(), poolName, maxRN)
print g.submit(gethost(), getport())
