# -*- coding: utf-8 -*- # Copyright (C) 2012-2013 Yahoo! Inc. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. import logging import os import sys logging.basicConfig(level=logging.ERROR) top_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), os.pardir, os.pardir)) sys.path.insert(0, top_dir) import taskflow.engines from taskflow.patterns import linear_flow as lf from taskflow import task # INTRO: In this example we create two tasks, each of which ~calls~ a given # ~phone~ number (provided as a function input) in a linear fashion (one after # the other). For a workflow which is serial this shows a extremely simple way # of structuring your tasks (the code that does the work) into a linear # sequence (the flow) and then passing the work off to an engine, with some # initial data to be ran in a reliable manner. # # NOTE(harlowja): This example shows a basic usage of the taskflow structures # without involving the complexity of persistence. Using the structures that # taskflow provides via tasks and flows makes it possible for you to easily at # a later time hook in a persistence layer (and then gain the functionality # that offers) when you decide the complexity of adding that layer in # is 'worth it' for your applications usage pattern (which certain applications # may not need). class CallJim(task.Task): def execute(self, jim_number, *args, **kwargs): print("Calling jim %s." % jim_number) class CallJoe(task.Task): def execute(self, joe_number, *args, **kwargs): print("Calling joe %s." % joe_number) # Create your flow and associated tasks (the work to be done). flow = lf.Flow('simple-linear').add( CallJim(), CallJoe() ) # Now run that flow using the provided initial data (store below). taskflow.engines.run(flow, store=dict(joe_number=444, jim_number=555))