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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.assertTrue(isinstance(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.assertTrue(isinstance(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.assertTrue(isinstance(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: no
type: scalar-unit.frequency
constraints:
- greater_or_equal: 0.1 GHz
disk_size:
required: no
type: scalar-unit.size
constraints:
- greater_or_equal: 1 GB
mem_size:
required: no
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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