def make_fake_pipeline(self):
import basic_modules as basic
self._workflow = Workflow()
m0 = self._workflow.add(basic.Constant)
m1 = self._workflow.add(basic.ReadFile)
self._workflow.set_value(m0, "in_value", "/etc/passwd", depth=0)
self._workflow.connect(m0, 'out_value', m1, 'path')
m2 = self._workflow.add(basic.Count)
self._workflow.connect(m1, 'line', m2, 'data')
m3 = self._workflow.add(basic.RandomNumbers)
m4 = self._workflow.add(basic.Zip3)
self._workflow.connect(m1, 'line', m4, 'left')
self._workflow.connect(m3, 'number', m4, 'right')
m5 = self._workflow.add(basic.StandardOutput)
self._workflow.connect(m2, 'length', m5, 'data')
m6 = self._workflow.add(basic.StandardOutput)
self._workflow.connect(m4, 'zip', m6, 'data')
logger.debug("Fake pipeline created")
def main():
basicConfig(level=DEBUG)
w = Workflow()
m1 = w.add(ConstantList)
m2 = w.add(ConstantList)
m3 = w.add(Zip2)
m4 = w.add(StandardOutput)
w.set_value(m1, 'in_values', [-i for i in range(23)], depth=1)
w.set_value(m2, 'in_values', [i for i in range(29)], depth=1)
w.connect(m1, 'out_values', m3, 'left')
w.connect(m2, 'out_values', m3, 'right')
w.connect(m3, 'zip', m4, 'data')
#w.print_dot()
interpreter = Interpreter(w)
interpreter.make_fake_pipeline()
interpreter.execute_pipeline()
class Interpreter(object):
def __init__(self, workflow):
# workflow reference
self._workflow = workflow
self.ready_tasks = list()
def make_fake_pipeline(self):
import basic_modules as basic
self._workflow = Workflow()
m0 = self._workflow.add(basic.Constant)
m1 = self._workflow.add(basic.ReadFile)
self._workflow.set_value(m0, "in_value", "/etc/passwd", depth=0)
self._workflow.connect(m0, 'out_value', m1, 'path')
m2 = self._workflow.add(basic.Count)
self._workflow.connect(m1, 'line', m2, 'data')
m3 = self._workflow.add(basic.RandomNumbers)
m4 = self._workflow.add(basic.Zip3)
self._workflow.connect(m1, 'line', m4, 'left')
self._workflow.connect(m3, 'number', m4, 'right')
m5 = self._workflow.add(basic.StandardOutput)
self._workflow.connect(m2, 'length', m5, 'data')
m6 = self._workflow.add(basic.StandardOutput)
self._workflow.connect(m4, 'zip', m6, 'data')
logger.debug("Fake pipeline created")
def create_dependant_tasks(self, module):
"""
create the corresponding tasks for a module depending on its state
:param module:
:return: a Task list
"""
# TODO: specify automaton for modules states to avoid too many flags
if not module.starting:
self.ready_tasks.append(StartTask(module))
module.starting = True
if module.output:
# spawn input tasks for all down streams modules
for port_name in module.expected_output:
# get all downstream port for broadcast messages
for downstream_input in self._workflow.get_next(module.down[port_name]):
downstream_module = self._workflow.get_next(downstream_input)[0]
#self.ready_tasks.append(InputTask(downstream_module, downstream_input.port.name))
self.create_dependant_tasks(downstream_module)
# reset module dep
# TODO: make it better
module.output = False
module.expected_output = list()
if module.finished:
# the module is finished and data that may remain in the buffer is flushed and tasks are produced
# no need to check other states
return
if module.producing and not module.finishing:
# TODO: fix infinite lopp for infinite modules
# if module is a producing module (step), append a new task to produce next data eventually
self.ready_tasks.append(OutputTask(module))
module.producing = False
if not module.finishing and module.finish_reason is not None:
# spawn finish task
module.finishing = True
self.ready_tasks.append(FinishTask(module))
if module.wait_input and not module.finishing:
for port_name in module.expected_input:
# check if the data is available,
if module.up[port_name].size() > 0:
logger.debug("data available on module %r port '%s'" % (module, port_name))
self.ready_tasks.append(InputTask(module, port_name))
module.expected_input.remove(port_name)
module.wait_input = len(module.expected_input) != 0
# check if the up stream is closed
elif module.up[port_name].stream.closed:
logger.debug("stream closed on port '%s'" % port_name)
self.ready_tasks.append(InputEndTask(module, port_name))
#if data not available, execute tasks of upstream module
else:
logger.debug("data not available on module %r port '%s'" % (module, port_name))
up_module = self._workflow.get_upstream_module_from_port(module.up[port_name])
self.create_dependant_tasks(up_module)
def execute_pipeline(self):
# update effective depths ports of the workflow
self._workflow.check_depth()
# task counter
executed_tasks = 0
# list of started modules
started_modules = set()
sinks = self._workflow.get_sinks()
# list of modules already running
self.ready_tasks = [StartTask(mod) for mod in sinks]
# set modules as starting
for mod in sinks:
mod.starting = True
# main loop of the scheduler
while self.ready_tasks:
logger.debug("========================================")
logger.debug(self.ready_tasks)
logger.debug("========================================")
task = self.ready_tasks.pop(0)
# if task is input task and ready to be executed, execute, else reschedule later
logger.debug("execute task %s" % task)
task.execute()
self.create_dependant_tasks(task.module)
#time.sleep(0.5)
executed_tasks += 1
logger.debug("#################### ENDING WORKFLOW ####################")
# explicitely call finish on sinks if not already done
for mod in sinks:
mod.finish_reason = FinishReason.TERMINATE
self.create_dependant_tasks(mod)
logger.debug("========================================")
logger.debug(self.ready_tasks)
logger.debug("========================================")
while self.ready_tasks:
task = self.ready_tasks.pop(0)
logger.debug("========================================")
logger.debug("execute task %s" % task)
task.execute()
executed_tasks += 1
logger.debug("Executed %d tasks" % executed_tasks)
