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# Copyright (C) 2014 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 random
import sys
import time
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)
from taskflow import engines
from taskflow.listeners import timing
from taskflow.patterns import linear_flow as lf
from taskflow import task
# INTRO: in this example we will attach a listener to an engine
# and have variable run time tasks run and show how the listener will print
# out how long those tasks took (when they started and when they finished).
#
# This shows how timing metrics can be gathered (or attached onto an engine)
# after a workflow has been constructed, making it easy to gather metrics
# dynamically for situations where this kind of information is applicable (or
# even adding this information on at a later point in the future when your
# application starts to slow down).
class VariableTask(task.Task):
def __init__(self, name):
super().__init__(name)
self._sleepy_time = random.random()
def execute(self):
time.sleep(self._sleepy_time)
f = lf.Flow('root')
f.add(VariableTask('a'), VariableTask('b'), VariableTask('c'))
e = engines.load(f)
with timing.PrintingDurationListener(e):
e.run()
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