Source code for pycadf.measurement

# 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]


[docs] 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
[docs] 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)))