Files
deb-python-taskflow/taskflow/tests/unit/test_progress.py
Ivan A. Melnikov cde0dee14e Simpler API to load flows into engines
Previously to run a flow client code had to put together the flow,
an engine, logbook, flowdetail, and storage backend. This commit
adds two helper functions, run() and load(), so that simplest usecase
now looks like

    taskflow.engines.run(flow)

Client code may also provide configuration for storage and engine if
needed, but if not needed it just works with defaults.

Engines are loaded via stevedore, as drivers in 'taskflow.engines'
backend. Now three entry points are defined in that namespace:
- 'default', for SingleThreadedActionEngine, used by default;
- 'serial', as another synonym for SingleThreadedActionEngine;
- 'parallel', for MultiThreadedActionEngine.

Closes-bug: #1224726
Change-Id: I7f4cb5c8ff7f5f12831ddd0952c202d2fd8cd6ef
2013-10-03 10:08:55 +04:00

125 lines
4.2 KiB
Python

# -*- coding: utf-8 -*-
# vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright (C) 2012 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 contextlib
from taskflow import task
from taskflow import test
import taskflow.engines
from taskflow.patterns import linear_flow as lf
from taskflow.persistence.backends import impl_memory
from taskflow.utils import persistence_utils as p_utils
class ProgressTask(task.Task):
def __init__(self, name, segments):
super(ProgressTask, self).__init__(name=name)
self._segments = segments
def execute(self):
if self._segments <= 0:
return
for i in range(1, self._segments):
progress = float(i) / self._segments
self.update_progress(progress)
class TestProgress(test.TestCase):
def _make_engine(self, flow, flow_detail=None, backend=None):
e = taskflow.engines.load(flow,
flow_detail=flow_detail,
backend=backend)
e.compile()
return e
def tearDown(self):
super(TestProgress, self).tearDown()
with contextlib.closing(impl_memory.MemoryBackend({})) as be:
with contextlib.closing(be.get_connection()) as conn:
conn.clear_all()
def test_sanity_progress(self):
fired_events = []
def notify_me(task, event_data, progress):
fired_events.append(progress)
ev_count = 5
t = ProgressTask("test", ev_count)
t.bind('update_progress', notify_me)
flo = lf.Flow("test")
flo.add(t)
e = self._make_engine(flo)
e.run()
self.assertEquals(ev_count + 1, len(fired_events))
self.assertEquals(1.0, fired_events[-1])
self.assertEquals(0.0, fired_events[0])
def test_no_segments_progress(self):
fired_events = []
def notify_me(task, event_data, progress):
fired_events.append(progress)
t = ProgressTask("test", 0)
t.bind('update_progress', notify_me)
flo = lf.Flow("test")
flo.add(t)
e = self._make_engine(flo)
e.run()
# 0.0 and 1.0 should be automatically fired
self.assertEquals(2, len(fired_events))
self.assertEquals(1.0, fired_events[-1])
self.assertEquals(0.0, fired_events[0])
def test_storage_progress(self):
with contextlib.closing(impl_memory.MemoryBackend({})) as be:
flo = lf.Flow("test")
flo.add(ProgressTask("test", 3))
b, fd = p_utils.temporary_flow_detail(be)
e = self._make_engine(flo, flow_detail=fd, backend=be)
e.run()
t_uuid = e.storage.get_uuid_by_name("test")
end_progress = e.storage.get_task_progress(t_uuid)
self.assertEquals(1.0, end_progress)
td = fd.find(t_uuid)
self.assertEquals({'progress': 1.0}, td.meta)
def test_dual_storage_progress(self):
fired_events = []
def notify_me(task, event_data, progress):
fired_events.append(progress)
with contextlib.closing(impl_memory.MemoryBackend({})) as be:
t = ProgressTask("test", 5)
t.bind('update_progress', notify_me)
flo = lf.Flow("test")
flo.add(t)
b, fd = p_utils.temporary_flow_detail(be)
e = self._make_engine(flo, flow_detail=fd, backend=be)
e.run()
t_uuid = e.storage.get_uuid_by_name("test")
end_progress = e.storage.get_task_progress(t_uuid)
self.assertEquals(1.0, end_progress)
td = fd.find(t_uuid)
self.assertEquals({'progress': 1.0}, td.meta)
self.assertEquals(6, len(fired_events))