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# Copyright 2013 IBM Corp.
#
# 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 pycadf import cadftype
from pycadf import identifier
from pycadf import metric
from pycadf import resource
MEASUREMENT_KEYNAME_RESULT = "result"
MEASUREMENT_KEYNAME_METRIC = "metric"
MEASUREMENT_KEYNAME_METRICID = "metricId"
MEASUREMENT_KEYNAME_CALCBY = "calculatedBy"
MEASUREMENT_KEYNAMES = [MEASUREMENT_KEYNAME_RESULT,
MEASUREMENT_KEYNAME_METRICID,
MEASUREMENT_KEYNAME_METRIC,
MEASUREMENT_KEYNAME_CALCBY]
class Measurement(cadftype.CADFAbstractType):
result = cadftype.ValidatorDescriptor(MEASUREMENT_KEYNAME_RESULT)
metric = cadftype.ValidatorDescriptor(
MEASUREMENT_KEYNAME_METRIC, lambda x: isinstance(x, metric.Metric))
metricId = cadftype.ValidatorDescriptor(MEASUREMENT_KEYNAME_METRICID,
lambda x: identifier.is_valid(x))
calculatedBy = cadftype.ValidatorDescriptor(
MEASUREMENT_KEYNAME_CALCBY,
(lambda x: isinstance(x, resource.Resource) and x.is_valid()))
def __init__(self, result=None, metric=None, metricId=None,
calculatedBy=None):
"""Create Measurement data type
:param result: value of measurement
:param metric: Metric data type of current measurement
:param metricId: id of Metric data type of current measurement
:param calculatedBy: Resource that calculated measurement
"""
# Measurement.result
if result is not None:
setattr(self, MEASUREMENT_KEYNAME_RESULT, result)
# Measurement.metricId
if metricId is not None:
setattr(self, MEASUREMENT_KEYNAME_METRICID, metricId)
# Measurement.metric
if metric is not None:
setattr(self, MEASUREMENT_KEYNAME_METRIC, metric)
# Measurement.calculaedBy
if calculatedBy is not None:
setattr(self, MEASUREMENT_KEYNAME_CALCBY, calculatedBy)
# self validate this cadf:Measurement type against schema
def is_valid(self):
"""Validation to ensure Measurement required attributes are set.
"""
return (self._isset(MEASUREMENT_KEYNAME_RESULT) and
(self._isset(MEASUREMENT_KEYNAME_METRIC) ^
self._isset(MEASUREMENT_KEYNAME_METRICID)))
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