#!/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()
'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()
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)
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)
- A chain of dependencies is added to the graph, the default end status is [DONE]
task1 > task4 > task3 > task2 > task5 > task6
- Classic submission
"""
from puliclient import Task, TaskGroup, Graph, DONE
if __name__ == '__main__':
args = { "cmd":"sleep 30", "start":1, "end":10, "packetSize":1 }
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)
# Added to the graph is a dict of tags that will be used to clarify the job process
graph = Graph("simple_job", tags=tags)
# In this example we will create 2 tasks with multiple frames
# The first task executes one process per command, the second will group several processes by commands
# We still need to define its name and arguments dict
# The default runner automatically handles the following arguments:
# - cmd: a string representing the command to start
# - start: start frame number
# - end: end frame number
# First task
name = "multiple commands"
arguments = {"cmd": "sleep %%MI_FRAME%%", "start": 1, "end": 10}
graph.addNewTask(name, arguments=arguments)
# Second task
name = "multiple commands grouped by packet size"
# To handle several processes in a command, we add the following arg:
# - packetSize: number of frames to run in the same command
arguments = {"cmd": "sleep %%MI_FRAME%%", "start": 1, "end": 10, "packetSize": 3}
graph.addNewTask(name, arguments=arguments)
# Finally submit the graph to the server
graph.submit("vfxpc64", 8004)
#!/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
tags = { "prod":"test", "shot":"test" }
arguments={ 'cmd':'echo RUUUUUNN !!!' }
graph = Graph('debug', tags=tags, poolName='default' )
graph.addNewTask( "DO_SOMETHING", tags=tags, arguments=arguments )
# graph.submit("puliserver", 8004)
graph.execute()
# The default runner automatically handles the following arguments:
# - cmd: a string representing the command to start
# - start: start frame number
# - end: end frame number
# First task
name = "multiple commands"
arguments = {
"cmd": "sleep %%MI_FRAME%%",
"start": 1,
"end": 10,
}
graph.addNewTask(name, arguments=arguments)
# Second task
name = "multiple commands grouped by packet size"
# To handle several processes in a command, we add the following arg:
# - packetSize: number of frames to run in the same command
arguments = {
"cmd": "sleep %%MI_FRAME%%",
"start": 1,
"end": 10,
"packetSize": 3
}
graph.addNewTask(name, arguments=arguments)
from puliclient import Task, Graph, GraphDumper
if __name__ == '__main__':
args = { "cmd":"sleep 30", "start":1, "end":10, "packetSize":1 }
tags = { "prod":"test", "shot":"test" }
decomposer = "puliclient.contrib.generic.GenericDecomposer"
#
# 1. a task waits the end of a taskgroup
#
graph = Graph('1st case', tags=tags)
tg1 = graph.addNewTaskGroup( name="TG1" )
tg1.addNewTask( name="task1", arguments=args, tags=tags, decomposer=decomposer )
tg1.addNewTask( name="task2", arguments=args, tags=tags, decomposer=decomposer )
task3 = graph.addNewTask( name="task3", arguments=args, tags=tags, decomposer=decomposer )
graph.addEdges( [(tg1, task3)] )
graph.submit("pulitest", 8004)
#
# 2. a taskgroup waits the end of a task
#
graph = Graph('2nd case', tags=tags)
tg1 = graph.addNewTaskGroup( name="TG1" )
tg1.addNewTask( name="task1", arguments=args, tags=tags, decomposer=decomposer )
tg1.addNewTask( name="task2", arguments=args, tags=tags, decomposer=decomposer )
task3 = graph.addNewTask( name="task3", arguments=args, tags=tags, decomposer=decomposer )
task4 = graph.addNewTask( name="task4", arguments=args, tags=tags, decomposer=decomposer )
graph.addEdges( [(task3, tg1),
(task4, tg1)] )
