This file is indexed.

/usr/lib/python2.7/dist-packages/taskflow/tests/unit/test_progress.py is in python-taskflow 2.3.0-2.

This file is owned by root:root, with mode 0o644.

The actual contents of the file can be viewed below.

  1
  2
  3
  4
  5
  6
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
# -*- coding: utf-8 -*-

#    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

import taskflow.engines
from taskflow.patterns import linear_flow as lf
from taskflow.persistence.backends import impl_memory
from taskflow import task
from taskflow import test
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 ProgressTaskWithDetails(task.Task):
    def execute(self):
        details = {
            'progress': 0.5,
            'test': 'test data',
            'foo': 'bar',
        }
        self.notifier.notify(task.EVENT_UPDATE_PROGRESS, details)


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()
        e.prepare()
        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(event_type, details):
            fired_events.append(details.pop('progress'))

        ev_count = 5
        t = ProgressTask("test", ev_count)
        t.notifier.register(task.EVENT_UPDATE_PROGRESS, notify_me)
        flo = lf.Flow("test")
        flo.add(t)
        e = self._make_engine(flo)
        e.run()
        self.assertEqual(ev_count + 1, len(fired_events))
        self.assertEqual(1.0, fired_events[-1])
        self.assertEqual(0.0, fired_events[0])

    def test_no_segments_progress(self):
        fired_events = []

        def notify_me(event_type, details):
            fired_events.append(details.pop('progress'))

        t = ProgressTask("test", 0)
        t.notifier.register(task.EVENT_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.assertEqual(2, len(fired_events))
        self.assertEqual(1.0, fired_events[-1])
        self.assertEqual(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()
            end_progress = e.storage.get_task_progress("test")
            self.assertEqual(1.0, end_progress)
            task_uuid = e.storage.get_atom_uuid("test")
            td = fd.find(task_uuid)
            self.assertEqual(1.0, td.meta['progress'])
            self.assertFalse(td.meta['progress_details'])

    def test_storage_progress_detail(self):
        flo = ProgressTaskWithDetails("test")
        e = self._make_engine(flo)
        e.run()
        end_progress = e.storage.get_task_progress("test")
        self.assertEqual(1.0, end_progress)
        end_details = e.storage.get_task_progress_details("test")
        self.assertEqual(0.5, end_details.get('at_progress'))
        self.assertEqual({
            'test': 'test data',
            'foo': 'bar'
        }, end_details.get('details'))

    def test_dual_storage_progress(self):
        fired_events = []

        def notify_me(event_type, details):
            fired_events.append(details.pop('progress'))

        with contextlib.closing(impl_memory.MemoryBackend({})) as be:
            t = ProgressTask("test", 5)
            t.notifier.register(task.EVENT_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()

            end_progress = e.storage.get_task_progress("test")
            self.assertEqual(1.0, end_progress)
            task_uuid = e.storage.get_atom_uuid("test")
            td = fd.find(task_uuid)
            self.assertEqual(1.0, td.meta['progress'])
            self.assertFalse(td.meta['progress_details'])
            self.assertEqual(6, len(fired_events))