openstack/tosca-parser
Code Issues Proposed changes
tosca-parser/toscaparser/tests/test_scalarunit.py
gecong1973 d729a61533 Change assertTrue(isinstance()) by optimal assert 
Some of tests use different method of assertTrue(isinstance(A, B))
or assertEqual(type(A), B). The correct way is to use assertIsInstance(A, B)
provided by testtools

Change-Id: Id6f69e42bb933d37fab0ad0380fe238f81910070
2016-09-29 09:02:46 +08:00

356 lines
12 KiB
Python
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# 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.
from toscaparser.common import exception
from toscaparser.elements.scalarunit import ScalarUnit_Frequency
from toscaparser.elements.scalarunit import ScalarUnit_Size
from toscaparser.elements.scalarunit import ScalarUnit_Time
from toscaparser.nodetemplate import NodeTemplate
from toscaparser.tests.base import TestCase
from toscaparser.utils.gettextutils import _
from toscaparser.utils import yamlparser
class ScalarUnitPositiveTest(TestCase):
scenarios = [
(
# tpl_snippet with mem_size given as number+space+MB
'mem_size_is_number_Space_MB',
dict(tpl_snippet='''
server:
type: tosca.nodes.Compute
capabilities:
host:
properties:
mem_size: 1024 MB
''',
property='mem_size',
expected='1024 MB')
),
(
# tpl_snippet with mem_size given as number+spaces+GB
'mem_size_is_number_Space_GB',
dict(tpl_snippet='''
server:
type: tosca.nodes.Compute
capabilities:
host:
properties:
mem_size: 1 GB
''',
property='mem_size',
expected='1 GB')
),
(
# tpl_snippet with mem_size given as number+tiB
'mem_size_is_number_NoSpace_GB',
dict(tpl_snippet='''
server:
type: tosca.nodes.Compute
capabilities:
host:
properties:
mem_size: 1tiB
''',
property='mem_size',
expected='1 TiB')
),
(
# tpl_snippet with mem_size given as number+Spaces+GIB
'mem_size_is_number_Spaces_GB',
dict(tpl_snippet='''
server:
type: tosca.nodes.Compute
capabilities:
host:
properties:
mem_size: 1 GIB
''',
property='mem_size',
expected='1 GiB')
),
(
# tpl_snippet with mem_size given as number+Space+tib
'mem_size_is_number_Spaces_GB',
dict(tpl_snippet='''
server:
type: tosca.nodes.Compute
capabilities:
host:
properties:
mem_size: 1 tib
''',
property='mem_size',
expected='1 TiB')
),
(
'cpu_frequency_is_float_Space_GHz',
dict(tpl_snippet='''
server:
type: tosca.nodes.Compute
capabilities:
host:
properties:
cpu_frequency: 2.5 GHz
''',
property='cpu_frequency',
expected='2.5 GHz')
),
(
'cpu_frequency_is_float_Space_MHz',
dict(tpl_snippet='''
server:
type: tosca.nodes.Compute
capabilities:
host:
properties:
cpu_frequency: 800 MHz
''',
property='cpu_frequency',
expected='800 MHz')
),
]
def test_scenario_scalar_unit_positive(self):
tpl = self.tpl_snippet
nodetemplates = yamlparser.simple_parse(tpl)
nodetemplate = NodeTemplate('server', nodetemplates)
props = nodetemplate.get_capability('host').get_properties()
prop_name = self.property
if props and prop_name in props.keys():
prop = props[prop_name]
self.assertIsNone(prop.validate())
resolved = prop.value
self.assertEqual(resolved, self.expected)
class GetNumFromScalarUnitSizePositive(TestCase):
scenarios = [
( # Note that (1 TB) / (1 GB) = 1000
'Input is TB, user input is GB',
dict(InputMemSize='1 TB',
UserInputUnit='gB',
expected=1000)
),
( # Note that (1 Tib)/ (1 GB) = 1099
'Input is TiB, user input is GB',
dict(InputMemSize='1 TiB',
UserInputUnit='gB',
expected=1099.511627776)
),
]
def test_scenario_get_num_from_scalar_unit_size(self):
resolved = (ScalarUnit_Size(self.InputMemSize).
get_num_from_scalar_unit(self.UserInputUnit))
self.assertEqual(resolved, self.expected)
class GetNumFromScalarUnitFrequencyPositive(TestCase):
scenarios = [
( # Note that (1 GHz) / (1 Hz) = 1000000000
'Input is GHz, user input is Hz',
dict(InputMemSize='1 GHz',
UserInputUnit='Hz',
expected=1000000000)
),
(
'Input is GHz, user input is Hz',
dict(InputMemSize='2.4 GHz',
UserInputUnit='Hz',
expected=2400000000)
),
( # Note that (1 GHz)/ (1 MHz) = 1000
'Input is MHz, user input is GHz',
dict(InputMemSize='800 MHz',
UserInputUnit='GHz',
expected=0.8)
),
(
'Input is GHz, user input is Hz',
dict(InputMemSize='0.9 GHz',
UserInputUnit='MHz',
expected=900)
),
(
'Input is GHz, user input is Hz',
dict(InputMemSize='2.7GHz',
UserInputUnit='MHz',
expected=2700)
),
]
def test_scenario_get_num_from_scalar_unit_frequency(self):
resolved = (ScalarUnit_Frequency(self.InputMemSize).
get_num_from_scalar_unit(self.UserInputUnit))
self.assertEqual(resolved, self.expected)
class GetNumFromScalarUnitTimePositive(TestCase):
scenarios = [
( # Note that (1 s) / (1 ms) = 1000
'Input is 500ms, user input is s',
dict(InputMemSize='500 ms',
UserInputUnit='s',
expected=0.5)
),
( # Note that (1 h)/ (1 s) = 3600
'Input is h, user input is s',
dict(InputMemSize='1 h',
UserInputUnit='s',
expected=3600)
),
( # Note that (1 m)/ (1 s) = 60
'Input is m, user input is s',
dict(InputMemSize='0.5 m',
UserInputUnit='s',
expected=30)
),
( # Note that (1 d)/ (1 h) = 24
'Input is d, user input is h',
dict(InputMemSize='1 d',
UserInputUnit='h',
expected=24)
),
]
def test_scenario_get_num_from_scalar_unit_time(self):
resolved = (ScalarUnit_Time(self.InputMemSize).
get_num_from_scalar_unit(self.UserInputUnit))
self.assertEqual(resolved, self.expected)
class GetNumFromScalarUnitSizeNegative(TestCase):
InputMemSize = '1 GB'
UserInputUnit = 'qB'
def test_get_num_from_scalar_unit_size_negative(self):
try:
(ScalarUnit_Size(self.InputMemSize).
get_num_from_scalar_unit(self.UserInputUnit))
except Exception as error:
self.assertIsInstance(error, ValueError)
self.assertEqual(_('The unit "qB" is not valid. Valid units are '
'"[\'B\', \'GB\', \'GiB\', \'KiB\', \'MB\', '
'\'MiB\', \'TB\', \'TiB\', \'kB\']".'),
error.__str__())
class GetNumFromScalarUnitFrequencyNegative(TestCase):
InputFrequency = '2.7 GHz'
UserInputUnit = 'Jz'
def test_get_num_from_scalar_unit_frequency_negative(self):
try:
(ScalarUnit_Frequency(self.InputFrequency).
get_num_from_scalar_unit(self.UserInputUnit))
except Exception as error:
self.assertIsInstance(error, ValueError)
self.assertEqual(_('The unit "Jz" is not valid. Valid units are '
'"[\'GHz\', \'Hz\', \'MHz\', \'kHz\']".'),
error.__str__())
class GetNumFromScalarUnitTimeNegative(TestCase):
InputTime = '5 ms'
UserInputUnit = 'D'
def test_get_num_from_scalar_unit_frequency_negative(self):
try:
(ScalarUnit_Time(self.InputTime).
get_num_from_scalar_unit(self.UserInputUnit))
except Exception as error:
self.assertIsInstance(error, ValueError)
self.assertEqual(_('"Jz" is not a valid scalar-unit.'),
error.__str__())
class ScalarUnitNegativeTest(TestCase):
custom_def_snippet = '''
tosca.my.nodes.Compute:
derived_from: tosca.nodes.Root
properties:
cpu_frequency:
required: false
type: scalar-unit.frequency
constraints:
- greater_or_equal: 0.1 GHz
disk_size:
required: false
type: scalar-unit.size
constraints:
- greater_or_equal: 1 GB
mem_size:
required: false
type: scalar-unit.size
constraints:
- in_range: [1 MiB, 1 GiB]
'''
custom_def = yamlparser.simple_parse(custom_def_snippet)
# disk_size doesn't provide a value, mem_size uses an invalid unit.
def test_invalid_scalar_unit(self):
tpl_snippet = '''
server:
type: tosca.my.nodes.Compute
properties:
cpu_frequency: 50.3.6 GHZ
disk_size: MB
mem_size: 1 QB
'''
nodetemplates = yamlparser.simple_parse(tpl_snippet)
nodetemplate = NodeTemplate('server', nodetemplates, self.custom_def)
for p in nodetemplate.get_properties_objects():
self.assertRaises(ValueError, p.validate)
# disk_size is less than 1 GB, mem_size is not in the required range.
# Note: in the spec, the minimum value of mem_size is 1 MiB (> 1 MB)
def test_constraint_for_scalar_unit(self):
tpl_snippet = '''
server:
type: tosca.my.nodes.Compute
properties:
cpu_frequency: 0.05 GHz
disk_size: 500 MB
mem_size: 1 MB
'''
nodetemplates = yamlparser.simple_parse(tpl_snippet)
nodetemplate = NodeTemplate('server', nodetemplates, self.custom_def)
props = nodetemplate.get_properties()
if 'cpu_frequency' in props.keys():
error = self.assertRaises(exception.ValidationError,
props['cpu_frequency'].validate)
self.assertEqual(_('The value "0.05 GHz" of property '
'"cpu_frequency" must be greater than or equal '
'to "0.1 GHz".'), error.__str__())
if 'disk_size' in props.keys():
error = self.assertRaises(exception.ValidationError,
props['disk_size'].validate)
self.assertEqual(_('The value "500 MB" of property "disk_size" '
'must be greater than or equal to "1 GB".'),
error.__str__())
if 'mem_size' in props.keys():
error = self.assertRaises(exception.ValidationError,
props['mem_size'].validate)
self.assertEqual(_('The value "1 MB" of property "mem_size" is '
'out of range "(min:1 MiB, max:1 GiB)".'),
error.__str__())
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