Files
deb-python-taskflow/taskflow/examples/calculate_linear.py
Joshua Harlow 23dfff4105 Engine, task, linear_flow unification
In order to move away from the existing flows having their
own implementation of running, start moving the existing
flows to be  patterns that only structure tasks (and impose
constraints about how the group of tasks can run) in useful
ways.

Let the concept of running those patterns be handled by an
engine instead of being handled by the flow itself. This
will allow for varying engines to be able to run flows in
whichever way the engine chooses (as long as the constraints
set up by the flow are observed).

Currently threaded flow and graph flow are broken by this
commit, since they have not been converted to being a
structure of tasks + constraints. The existing engine has
not yet been modified to run those structures either, work
is underway  to remediate this.

Part of: blueprint patterns-and-engines

Followup bugs that must be addressed:
  Bug: 1221448
  Bug: 1221505

Change-Id: I3a8b96179f336d1defe269728ebae0caa3d832d7
2013-09-05 19:26:36 -07:00

69 lines
1.9 KiB
Python

import logging
import os
import sys
logging.basicConfig(level=logging.ERROR)
my_dir_path = os.path.dirname(os.path.abspath(__file__))
sys.path.insert(0, os.path.join(os.path.join(my_dir_path, os.pardir),
os.pardir))
from taskflow.engines.action_engine import engine as eng
from taskflow.patterns import linear_flow as lf
from taskflow import task
# In this example LinearFlow is used to group four tasks to
# calculate value. Added task is used twice. In the first case
# it uses default parameters ('x' and 'y') and in the second one
# arguments are binding with 'z' and 'd' keys from engine storage.
# Multiplier task uses binding too, but explicitly shows that 'z'
# parameter is binded with 'a' key from engine storage.
class Provider(task.Task):
def __init__(self, name, *args, **kwargs):
super(Provider, self).__init__(name=name, **kwargs)
self._provide = args
def execute(self):
return self._provide
class Adder(task.Task):
def __init__(self, name, provides=None, rebind=None):
super(Adder, self).__init__(name=name, provides=provides,
rebind=rebind)
def execute(self, x, y):
return x + y
class Multiplier(task.Task):
def __init__(self, name, multiplier, provides=None, rebind=None):
super(Multiplier, self).__init__(name=name, provides=provides,
rebind=rebind)
self._multiplier = multiplier
def execute(self, z):
return z * self._multiplier
flow = lf.Flow('root').add(
# x = 2, y = 3, d = 5
Provider("provide-adder", 2, 3, 5, provides=('x', 'y', 'd')),
# z = x+y = 5
Adder("add-1", provides='z'),
# a = z+d = 10
Adder("add-2", provides='a', rebind=['z', 'd']),
# r = a*3 = 30
Multiplier("multi", 3, provides='r', rebind={'z': 'a'})
)
engine = eng.SingleThreadedActionEngine(flow)
engine.run()
print engine.storage.fetch_all()