# 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. import six from pycadf import cadftype from pycadf import identifier # Geolocation types can appear outside a cadf:Event record context, in these # cases a typeURI may be used to identify the cadf:Geolocation data type. TYPE_URI_GEOLOCATION = cadftype.CADF_VERSION_1_0_0 + 'geolocation' GEO_KEYNAME_ID = "id" GEO_KEYNAME_LATITUDE = "latitude" GEO_KEYNAME_LONGITUDE = "longitude" GEO_KEYNAME_ELEVATION = "elevation" GEO_KEYNAME_ACCURACY = "accuracy" GEO_KEYNAME_CITY = "city" GEO_KEYNAME_STATE = "state" GEO_KEYNAME_REGIONICANN = "regionICANN" # GEO_KEYNAME_ANNOTATIONS = "annotations" GEO_KEYNAMES = [GEO_KEYNAME_ID, GEO_KEYNAME_LATITUDE, GEO_KEYNAME_LONGITUDE, GEO_KEYNAME_ELEVATION, GEO_KEYNAME_ACCURACY, GEO_KEYNAME_CITY, GEO_KEYNAME_STATE, GEO_KEYNAME_REGIONICANN # GEO_KEYNAME_ANNOTATIONS ] class Geolocation(cadftype.CADFAbstractType): id = cadftype.ValidatorDescriptor(GEO_KEYNAME_ID, lambda x: identifier.is_valid(x)) # TODO(mrutkows): we may want to do more validation to make # sure numeric range represented by string is valid latitude = cadftype.ValidatorDescriptor(GEO_KEYNAME_LATITUDE, lambda x: isinstance( x, six.string_types)) longitude = cadftype.ValidatorDescriptor(GEO_KEYNAME_LONGITUDE, lambda x: isinstance( x, six.string_types)) elevation = cadftype.ValidatorDescriptor(GEO_KEYNAME_ELEVATION, lambda x: isinstance( x, six.string_types)) accuracy = cadftype.ValidatorDescriptor(GEO_KEYNAME_ACCURACY, lambda x: isinstance( x, six.string_types)) city = cadftype.ValidatorDescriptor(GEO_KEYNAME_CITY, lambda x: isinstance( x, six.string_types)) state = cadftype.ValidatorDescriptor(GEO_KEYNAME_STATE, lambda x: isinstance( x, six.string_types)) regionICANN = cadftype.ValidatorDescriptor( GEO_KEYNAME_REGIONICANN, lambda x: isinstance(x, six.string_types)) def __init__(self, id=None, latitude=None, longitude=None, elevation=None, accuracy=None, city=None, state=None, regionICANN=None): """Create Geolocation data type :param id: id of geolocation :param latitude: latitude of geolocation :param longitude: longitude of geolocation :param elevation: elevation of geolocation in meters :param accuracy: accuracy of geolocation in meters :param city: city of geolocation :param state: state/province of geolocation :param regionICANN: region of geolocation (ie. country) """ # Geolocation.id if id is not None: setattr(self, GEO_KEYNAME_ID, id) # Geolocation.latitude if latitude is not None: setattr(self, GEO_KEYNAME_LATITUDE, latitude) # Geolocation.longitude if longitude is not None: setattr(self, GEO_KEYNAME_LONGITUDE, longitude) # Geolocation.elevation if elevation is not None: setattr(self, GEO_KEYNAME_ELEVATION, elevation) # Geolocation.accuracy if accuracy is not None: setattr(self, GEO_KEYNAME_ACCURACY, accuracy) # Geolocation.city if city is not None: setattr(self, GEO_KEYNAME_CITY, city) # Geolocation.state if state is not None: setattr(self, GEO_KEYNAME_STATE, state) # Geolocation.regionICANN if regionICANN is not None: setattr(self, GEO_KEYNAME_REGIONICANN, regionICANN) # TODO(mrutkows): add mechanism for annotations, OpenStack may choose # not to support this "extension mechanism" and is not required (and not # critical in many audit contexts) def set_annotations(self, value): raise NotImplementedError() # setattr(self, GEO_KEYNAME_ANNOTATIONS, value) # self validate cadf:Geolocation type def is_valid(self): return True