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" if cellId is not None:\n",
" self.cellId = cellId\n",
" if plmn is not None:\n",
" self.plmn = plmn\n",
" @property\n",
" def cellId(self):\n",
" return self._cellId\n",
" @cellId.setter\n",
" def cellId(self, cellId):\n",
" self._cellId = cellId\n",
" @property\n",
" def plmn(self):\n",
" return self._plmn\n",
" @plmn.setter\n",
" def plmn(self, plmn):\n",
" self._plmn = plmn\n",
" def to_dict(self):\n",
" result = {}\n",
" for attr, _ in six.iteritems(self.swagger_types):\n",
" value = getattr(self, attr)\n",
" if isinstance(value, list):\n",
" result[attr] = list(map(lambda x: x.to_dict() if hasattr(x, 'to_dict') else x,value))\n",
" elif hasattr(value, 'to_dict'):\n",
" result[attr] = value.to_dict()\n",
" elif isinstance(value, dict):\n",
" result[attr] = dict(map(\n",
" lambda item: (item[0], item[1].to_dict())\n",
" if hasattr(item[1], 'to_dict') else item,\n",
" value.items()\n",
" ))\n",
" else:\n",
" result[attr] = value\n",
" if issubclass(Ecgi, dict):\n",
" for key, value in self.items():\n",
" result[key] = value\n",
" return result\n",
" def to_str(self):\n",
" return pprint.pformat(self.to_dict())\n",
" def __repr__(self):\n",
" return self.to_str()\n",
" def __eq__(self, other):\n",
" if not isinstance(other, Ecgi):\n",
" return False\n",
" return self.__dict__ == other.__dict__\n",
" def __ne__(self, other):\n",
" return not self == other\n",
"\n",
"class CellId(object):\n",
" swagger_types = {'_cellId': 'str'}\n",
" attribute_map = {'_cellId': 'cellId'}\n",
" def __init__(self, cellId): # noqa: E501\n",
" self._cellId = None\n",
" self.cellId = cellId\n",
" @property\n",
" def cellId(self):\n",
" return self._cellId\n",
" @cellId.setter\n",
" def cellId(self, cellId):\n",
" if cellId is None:\n",
" raise ValueError(\"Invalid value for `cellId`, must not be `None`\") # noqa: E501\n",
" self._cellId = cellId\n",
" def to_dict(self):\n",
" result = {}\n",
" for attr, _ in six.iteritems(self.swagger_types):\n",
" value = getattr(self, attr)\n",
" if isinstance(value, list):\n",
" result[attr] = list(map(lambda x: x.to_dict() if hasattr(x, 'to_dict') else x,value))\n",
" elif hasattr(value, 'to_dict'):\n",
" result[attr] = value.to_dict()\n",
" elif isinstance(value, dict):\n",
" result[attr] = dict(map(\n",
" lambda item: (item[0], item[1].to_dict())\n",
" if hasattr(item[1], 'to_dict') else item,\n",
" value.items()\n",
" ))\n",
" else:\n",
" result[attr] = value\n",
" if issubclass(CellId, dict):\n",
" for key, value in self.items():\n",
" result[key] = value\n",
" return result\n",
" def to_str(self):\n",
" return pprint.pformat(self.to_dict())\n",
" def __repr__(self):\n",
" return self.to_str()\n",
" def __eq__(self, other):\n",
" if not isinstance(other, CellId):\n",
" return False\n",
" return self.__dict__ == other.__dict__\n",
" def __ne__(self, other):\n",
" return not self == other\n",
"\n",
"class Plmn(object):\n",
" swagger_types = {'_mcc': 'str', '_mnc': 'str'}\n",
" attribute_map = {'_mcc': 'mcc', '_mnc': 'mnc'}\n",
" def __init__(self, mcc:str, mnc:str): # noqa: E501\n",
" self.discriminator = None\n",
" self._mcc = None\n",
" self._mnc = None\n",
" self.mcc = mcc\n",
" self.mnc = mnc\n",
" @property\n",
" def mcc(self):\n",
" return self._mcc\n",
" @mcc.setter\n",
" def kpi_nmccame(self, mcc):\n",
" if mcc is None:\n",
" raise ValueError(\"Invalid value for `mcc`, must not be `None`\") # noqa: E501\n",
" self._mcc = mcc\n",
" @property\n",
" def mnc(self):\n",
" return self._mnc\n",
" @mnc.setter\n",
" def kpi_nmccame(self, mnc):\n",
" if mnc is None:\n",
" raise ValueError(\"Invalid value for `mnc`, must not be `None`\") # noqa: E501\n",
" self._mnc = mnc\n",
" def to_dict(self):\n",
" result = {}\n",
" for attr, _ in six.iteritems(self.swagger_types):\n",
" value = getattr(self, attr)\n",
" if isinstance(value, list):\n",
" result[attr] = list(map(lambda x: x.to_dict() if hasattr(x, 'to_dict') else x,value))\n",
" elif hasattr(value, 'to_dict'):\n",
" result[attr] = value.to_dict()\n",
" elif isinstance(value, dict):\n",
" result[attr] = dict(map(\n",
" lambda item: (item[0], item[1].to_dict())\n",
" if hasattr(item[1], 'to_dict') else item,\n",
" value.items()\n",
" ))\n",
" else:\n",
" result[attr] = value\n",
" if issubclass(Plmn, dict):\n",
" for key, value in self.items():\n",
" result[key] = value\n",
" return result\n",
" def to_str(self):\n",
" return pprint.pformat(self.to_dict())\n",
" def __repr__(self):\n",
" return self.to_str()\n",
" def __eq__(self, other):\n",
" if not isinstance(other, Plmn):\n",
" return False\n",
" return self.__dict__ == other.__dict__\n",
" def __ne__(self, other):\n",
" return not self == other\n",
"\n",
"class QosKpi(object):\n",
" swagger_types = {'_kpi_name': 'str', '_kpi_value': 'str', '_confidence': 'str'}\n",
" attribute_map = {'_kpi_name': 'kpiName', '_kpi_value': 'kpiValue', '_confidence': 'Confidence'}\n",
" def __init__(self, kpi_name:str, kpi_value:str, confidence=None): # noqa: E501\n",
" self._kpi_name = None\n",
" self._kpi_value = None\n",
" self._confidence = None\n",
" self.kpi_name = kpi_name\n",
" self.kpi_value = kpi_value\n",
" if confidence is not None:\n",
" self.confidences = confidence\n",
" @property\n",
" def kpi_name(self):\n",
" return self._kpi_name\n",
" @kpi_name.setter\n",
" def kpi_name(self, kpi_name):\n",
" if kpi_name is None:\n",
" raise ValueError(\"Invalid value for `kpi_name`, must not be `None`\") # noqa: E501\n",
" self._kpi_name = kpi_name\n",
" @property\n",
" def kpi_value(self):\n",
" return self._kpi_value\n",
" @kpi_value.setter\n",
" def kpi_value(self, kpi_value):\n",
" if kpi_value is None:\n",
" raise ValueError(\"Invalid value for `kpi_value`, must not be `None`\") # noqa: E501\n",
" self._kpi_value = kpi_value\n",
" @property\n",
" def confidence(self):\n",
" return self._confidence\n",
" @confidence.setter\n",
" def confidence(self, confidence):\n",
" self._confidence = confidence\n",
" def to_dict(self):\n",
" result = {}\n",
" for attr, _ in six.iteritems(self.swagger_types):\n",
" value = getattr(self, attr)\n",
" if isinstance(value, list):\n",
" result[attr] = list(map(lambda x: x.to_dict() if hasattr(x, 'to_dict') else x,value))\n",
" elif hasattr(value, 'to_dict'):\n",
" result[attr] = value.to_dict()\n",
" elif isinstance(value, dict):\n",
" result[attr] = dict(map(\n",
" lambda item: (item[0], item[1].to_dict())\n",
" if hasattr(item[1], 'to_dict') else item,\n",
" value.items()\n",
" ))\n",
" else:\n",
" result[attr] = value\n",
" if issubclass(QosKpi, dict):\n",
" for key, value in self.items():\n",
" result[key] = value\n",
" return result\n",
" def to_str(self):\n",
" return pprint.pformat(self.to_dict())\n",
" def __repr__(self):\n",
" return self.to_str()\n",
" def __eq__(self, other):\n",
" if not isinstance(other, QosKpi):\n",
" return False\n",
" return self.__dict__ == other.__dict__\n",
" def __ne__(self, other):\n",
" return not self == other\n",
"\n",
"class Stream(object):\n",
" swagger_types = {'_stream_id': 'str', '_qos_kpi': 'list[QosKpi]'}\n",
" attribute_map = {'_stream_id': 'streamId', '_qos_kpi': 'qosKpi'}\n",
" def __init__(self, stream_id:str, qos_kpi:list): # noqa: E501\n",
" self._stream_id = None\n",
" self._qos_kpi = None\n",
" self.stream_id = stream_id\n",
" self.qos_kpi = qos_kpi\n",
" @property\n",
" def stream_id(self):\n",
" return self._stream_id\n",
" @stream_id.setter\n",
" def stream_id(self, stream_id):\n",
" if stream_id is None:\n",
" raise ValueError(\"Invalid value for `stream_id`, must not be `None`\") # noqa: E501\n",
" self._stream_id = stream_id\n",
" @property\n",
" def qos_kpi(self):\n",
" return self._qos_kpi\n",
" @qos_kpi.setter\n",
" def qos_kpi(self, qos_kpi):\n",
" if qos_kpi is None:\n",
" raise ValueError(\"Invalid value for `qos_kpi`, must not be `None`\") # noqa: E501\n",
" self._qos_kpi = qos_kpi\n",
" def to_dict(self):\n",
" result = {}\n",
" for attr, _ in six.iteritems(self.swagger_types):\n",
" value = getattr(self, attr)\n",
" if isinstance(value, list):\n",
" result[attr] = list(map(\n",
" lambda x: x.to_dict() if hasattr(x, 'to_dict') else x,\n",
" value\n",
" ))\n",
" elif hasattr(value, 'to_dict'):\n",
" result[attr] = value.to_dict()\n",
" elif isinstance(value, dict):\n",
" result[attr] = dict(map(\n",
" lambda item: (item[0], item[1].to_dict())\n",
" if hasattr(item[1], 'to_dict') else item,\n",
" value.items()\n",
" ))\n",
" else:\n",
" result[attr] = value\n",
" if issubclass(Stream, dict):\n",
" for key, value in self.items():\n",
" result[key] = value\n",
" return result\n",
" def to_str(self):\n",
" return pprint.pformat(self.to_dict())\n",
" def __repr__(self):\n",
" return self.to_str()\n",
" def __eq__(self, other):\n",
" if not isinstance(other, Stream):\n",
" return False\n",
" return self.__dict__ == other.__dict__\n",
" def __ne__(self, other):\n",
" return not self == other\n",
"\n",
"class Qos(object):\n",
" swagger_types = {'_stream': 'list[Stream]'}\n",
" attribute_map = {'_stream': 'stream'}\n",
" def __init__(self, stream:list): # noqa: E501\n",
" self._stream = None\n",
" self.stream = stream\n",
" @property\n",
" def stream(self):\n",
" return self._stream\n",
" @stream.setter\n",
" def stream(self, stream):\n",
" if stream is None:\n",
" raise ValueError(\"Invalid value for `stream`, must not be `None`\") # noqa: E501\n",
" self._stream = stream\n",
" def to_dict(self):\n",
" result = {}\n",
" for attr, _ in six.iteritems(self.swagger_types):\n",
" value = getattr(self, attr)\n",
" if isinstance(value, list):\n",
" result[attr] = list(map(\n",
" lambda x: x.to_dict() if hasattr(x, 'to_dict') else x,\n",
" value\n",
" ))\n",
" elif hasattr(value, 'to_dict'):\n",
" result[attr] = value.to_dict()\n",
" elif isinstance(value, dict):\n",
" result[attr] = dict(map(\n",
" lambda item: (item[0], item[1].to_dict())\n",
" if hasattr(item[1], 'to_dict') else item,\n",
" value.items()\n",
" ))\n",
" else:\n",
" result[attr] = value\n",
" if issubclass(Qos, dict):\n",
" for key, value in self.items():\n",
" result[key] = value\n",
" return result\n",
" def to_str(self):\n",
" return pprint.pformat(self.to_dict())\n",
" def __repr__(self):\n",
" return self.to_str()\n",
" def __eq__(self, other):\n",
" if not isinstance(other, Qos):\n",
" return False\n",
" return self.__dict__ == other.__dict__\n",
" def __ne__(self, other):\n",
" return not self == other\n",
"\n",
"class PredictedQos(object):\n",
" swagger_types = {'_location_granularity': 'str', '_notice_period': 'TimeStamp', '_prediction_area': 'PredictionArea', '_prediction_target': 'str', '_qos': 'Qos', '_routes': 'list[Routes]', '_time_granularity': 'TimeStamp'}\n",
" attribute_map = {'_location_granularity': 'locationGranularity', '_notice_period': 'noticePeriod', '_prediction_area': 'predictionArea', '_prediction_target': 'predictionTarget', '_qos': 'qos', '_routes': 'routes', '_time_granularity': 'timeGranularity'}\n",
" def __init__(self, prediction_target:str, location_granularity:str, notice_period=None, time_granularity=None, prediction_area=None, routes=None, qos=None): # noqa: E501\n",
" self._prediction_target = None\n",
" self._time_granularity = None\n",
" self._location_granularity = None\n",
" self._notice_period = None\n",
" self._prediction_area = None\n",
" self._routes = None\n",
" self._qos = None\n",
" self._prediction_target = prediction_target\n",
" if time_granularity is not None:\n",
" self.time_granularity = time_granularity\n",
" self.location_granularity = location_granularity\n",
" if notice_period is not None:\n",
" self.notice_period = notice_period\n",
" if prediction_area is not None:\n",
" self.prediction_area = prediction_area\n",
" if routes is not None:\n",
" self.routes = routes\n",
" if qos is not None:\n",
" self.qos = qos\n",
" @property\n",
" def prediction_target(self):\n",
" return self._prediction_target\n",
" @prediction_target.setter\n",
" def prediction_target(self, prediction_target):\n",
" if prediction_target is None:\n",
" raise ValueError(\"Invalid value for `prediction_target`, must not be `None`\") # noqa: E501\n",
" self._prediction_target = prediction_target\n",
" @property\n",
" def time_granularity(self):\n",
" return self._time_granularity\n",
" @time_granularity.setter\n",
" def time_granularity(self, time_granularity):\n",
" self._time_granularity = time_granularity\n",
" @property\n",
" def location_granularity(self):\n",
" return self._location_granularity\n",
" @location_granularity.setter\n",
" def location_granularity(self, location_granularity):\n",
" if location_granularity is None:\n",
" raise ValueError(\"Invalid value for `location_granularity`, must not be `None`\") # noqa: E501\n",
" self._location_granularity = location_granularity\n",
" @property\n",
" def notice_period(self):\n",
" return self._notice_period\n",
" @notice_period.setter\n",
" def notice_period(self, notice_period):\n",
" self._notice_period = notice_period\n",
" @property\n",
" def prediction_area(self):\n",
" return self._prediction_area\n",
" @prediction_area.setter\n",
" def prediction_area(self, prediction_area):\n",
" self._prediction_area = prediction_area\n",
" @property\n",
" def routes(self):\n",
" return self._routes\n",
" @routes.setter\n",
" def routes(self, routes):\n",
" self._routes = routes\n",
" def to_dict(self):\n",
" result = {}\n",
" for attr, _ in six.iteritems(self.swagger_types):\n",
" value = getattr(self, attr)\n",
" if isinstance(value, list):\n",
" result[attr] = list(map(\n",
" lambda x: x.to_dict() if hasattr(x, 'to_dict') else x,\n",
" value\n",
" ))\n",
" elif hasattr(value, 'to_dict'):\n",
" result[attr] = value.to_dict()\n",
" elif isinstance(value, dict):\n",
" result[attr] = dict(map(\n",
" lambda item: (item[0], item[1].to_dict())\n",
" if hasattr(item[1], 'to_dict') else item,\n",
" value.items()\n",
" ))\n",
" else:\n",
" result[attr] = value\n",
" if issubclass(PredictedQos, dict):\n",
" for key, value in self.items():\n",
" result[key] = value\n",
" return result\n",
" def to_str(self):\n",
" return pprint.pformat(self.to_dict())\n",
" def __repr__(self):\n",
" return self.to_str()\n",
" def __eq__(self, other):\n",
" if not isinstance(other, PredictedQos):\n",
" return False\n",
" return self.__dict__ == other.__dict__\n",
" def __ne__(self, other):\n",
" return not self == other\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Here is the V2X Prediscted QoS function.\n",
"\n",
"Reference: ETSI GS MEC 030 V3.2.1 (2024-02) Clause 5.5.5 Sending a request for journey-specific QoS predictions\n"
"metadata": {},
"outputs": [],
"source": [
" \"\"\"\n",
" Request to predictede QoS\n",
" :param sandbox_name: The MEC Sandbox instance to use\n",
" :return The HTTP response, the HTTP response status and the HTTP response headers on success, None otherwise\n",
" :see ETSI GS MEC 030 V3.2.1 (2024-02) Clause 5.5.5 Sending a request for journey-specific QoS predictions\n",
" \"\"\"\n",
" global MEC_PLTF, logger, service_api\n",
3441
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3443
3444
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" logger.debug('>>> get_qos_prediction: sandbox_name: ' + sandbox_name)\n",
" try:\n",
" url = '/{sandbox_name}/{mec_pltf}/vis/v2/provide_predicted_qos'\n",
" logger.debug('send_uu_unicast_provisioning_info: url: ' + url)\n",
" path_params = {}\n",
" path_params['sandbox_name'] = sandbox_name\n",
" path_params['mec_pltf'] = MEC_PLTF\n",
" # HTTP header `Accept`\n",
" header_params = {}\n",
" header_params['Accept'] = 'application/json' # noqa: E501\n",
" # HTTP header `Content-Type`\n",
" header_params['Content-Type'] = 'application/json' # noqa: E501\n",
" # Body request\n",
" loc1 = LocationInfo(geo_area=LocationInfoGeoArea(latitude=43.729416, longitude=7.414853))\n",
" loc2 = LocationInfo(geo_area=LocationInfoGeoArea(latitude=43.732456, longitude=7.418417))\n",
" routeInfo1 = RouteInfo(loc1, TimeStamp(nano_seconds=0, seconds=1653295620))\n",
" routeInfo2 = RouteInfo(loc2, TimeStamp(nano_seconds=0, seconds=1653299220))\n",
" routesInfo = [routeInfo1, routeInfo2]\n",
" predictedQos = PredictedQos(prediction_target=\"SINGLE_UE_PREDICTION\", location_granularity=\"30\", routes=[Routes(routesInfo)])\n",
" (result, status, headers) = service_api.call_api(url, 'POST', header_params=header_params, path_params=path_params, body=predictedQos, async_req=False)\n",
" return (result, status, headers)\n",
" except ApiException as e:\n",
" logger.error('Exception when calling call_api: %s\\n' % e)\n",
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Grouping all together provides the process_main funtion.. The sequence is the following:\n",
"- Mec application setup\n",
"- V2X QoS request\n",
"- Mec application termination\n",
"\n",
"The expected response should be:\n",
"- RSRP: 55\n",
"- RSRQ: 13"
"# Uncomment the ;line above to skip execution of this cell\n",
"def process_main():\n",
" \"\"\"\n",
" This is the fourth sprint of our skeleton of our MEC application:\n",
" - Mec application setup\n",
" - Mec application termination\n",
" \"\"\" \n",
"\n",
" logger.debug('Starting at ' + time.strftime('%Y%m%d-%H%M%S'))\n",
" logger.debug('\\t pwd= ' + os.getcwd())\n",
"\n",
" # Setup the MEC application\n",
" # QoS Prediction\n",
" (result, status, headers) = get_qos_prediction(sandbox_name)\n",
" if status != 200:\n",
" logger.error('Failed to get UU unicast provisioning information')\n",
" else:\n",
" logger.info('UU unicast provisioning information: result: %s', str(result.data))\n",
" \n",
" # Any processing here\n",
" logger.info('body: ' + str(result.data))\n",
" data = json.loads(result.data)\n",
" logger.info('data: %s', str(data))\n",
" time.sleep(STABLE_TIME_OUT)\n",
"\n",
" # Terminate the MEC application\n",
" mec_app_termination(sandbox_name, app_inst_id, sub_id)\n",
"\n",
" logger.debug('Stopped at ' + time.strftime('%Y%m%d-%H%M%S'))\n",
" # End of function process_main\n",
"\n",
"if __name__ == '__main__':\n",
" process_main()\n"
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Our fith MEC application: how to create a new MEC Services\n",
"The purpose of this MEC Service application is to provide a custom MEC service that can be use by other MEC applications. For the purpose of this tutorial, our MEC service is simulating some complex calculation based on a set of data provided by the MEC use. \n",
"We will use a second MEC application to exploit the features of our new MEC services.\n",
"In this clause, we use the following functionalities provided by MEC-011:\n",
"- Register a new service\n",
"- Retrieve the list of the MEC services exposed by the MEC platform\n",
"- Check that our new MEC service is present in the list of the MEC platform services\n",
"- Execute a request to the MEC service\n",
"- Delete the newly created service\n",
"\n",
"**Note:** We will use a second MEC application to exploit the features of our new MEC services.\n",
"\n",
"**Reference:** ETSI GS MEC 011 V3.2.1 (2024-04) Clause 5.2.4 Service availability update and new service registration\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Bases of the creation of a MEC service\n",
"\n",
"#### Introduction\n",
"\n",
"From the user perspective, a MEC service provides a set of endpoints which describe the interface of the MEC service (see [HTTP REST APIs \n",
"concepts](https://blog.postman.com/rest-api-examples/)). These endpoints come usually with a set of data structures used by the one or more endpoints.\n",
"\n",
"Our service is really basic: it provide one endpoint:\n",
"- GET /statistic/v1/quantity: it computes statistical quantities of a set of data (such as average, max, min, standard deviation)\n",
"\n",
"The body of this GET method is a list of datas:\n",
"{\"time\":20180124,\"data1\":\"[1516752000,11590.6,11616.9,11590.4,11616.9,0.25202387,1516752060,11622.4,11651.7,11622.4,11644.6,1.03977764]\"}\n",
"```\n",
"\n",
"The response body is the list of statistical quantities:\n",
"```json\n",
"{\"time\":20180124,\"avg\": 0.0,\"max\": 0.0,\"min\": 0.0,\"stddev\": 0.0 }\n",
"```\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### MEC mechanisms to create a new service\n",
"\n",
"As described in ETSI GS MEC 011 Clause 5.2.4 Service availability update and new service registration, to create a new MEC service, the following information is required:\n",
"- A MEC Aplication instance: this is the MEC application providing the new MEC service (ETSI GS MEC 011 V3.2.1 Clause 8.2.6.3.4 POST)\n",
"- A ServiceInfo instance which describe the MEC service (ETSI GS MEC 011 V3.2.1 Clause 8.1.2.2 Type: ServiceInfo)\n",
"- As part of the ServiceInfo instance, a TransportInfo (ETSI GS MEC 011 V3.2.1 Clause 8.1.2.3 Type: TransportInfo) instance descibes the endpoints to use the MEC service\n",
"\n",
"When created and available, all the other MEC applications are notified about the existance of this MEC service."
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### ServiceInfo data type\n",
"\n",
"The cell below describes the ServiceInfo data structure and its dependencies. It will be used to create our MEC servie.\n"
]
},
{
"cell_type": "code",
"metadata": {},
"outputs": [],
"source": [
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"class ServiceInfo(object):\n",
" swagger_types = {'ser_instance_id': 'str','ser_name': 'str','ser_category': 'CategoryRef','version': 'str','state': 'str','transport_id': 'str','transport_info': 'TransportInfo','serializer': 'string','scope_of_locality': 'LocalityType','consumed_local_only': 'bool','is_local': 'bool','liveness_interval': 'int','links': 'ServiceInfoLinks'}\n",
" attribute_map = {'ser_instance_id': 'serInstanceId','ser_name': 'serName','ser_category': 'serCategory','version': 'version','state': 'state','transport_id': 'transportId','transport_info': 'transportInfo','serializer': 'serializer','scope_of_locality': 'scopeOfLocality','consumed_local_only': 'consumedLocalOnly','is_local': 'isLocal','liveness_interval': 'livenessInterval','links': '_links'}\n",
" def __init__(self, ser_instance_id=None, ser_name=None, ser_category=None, version=None, state=None, transport_id=None, transport_info=None, serializer=None, scope_of_locality=None, consumed_local_only=None, is_local=None, liveness_interval=None, links=None): # noqa: E501\n",
" self._ser_instance_id = None\n",
" self._ser_name = None\n",
" self._ser_category = None\n",
" self._version = None\n",
" self._state = None\n",
" self._transport_id = None\n",
" self._transport_info = None\n",
" self._serializer = None\n",
" self._scope_of_locality = None\n",
" self._consumed_local_only = None\n",
" self._is_local = None\n",
" self._liveness_interval = None\n",
" self._links = None\n",
" self.discriminator = None\n",
" if ser_instance_id is not None:\n",
" self.ser_instance_id = ser_instance_id\n",
" self.ser_name = ser_name\n",
" if ser_category is not None:\n",
" self.ser_category = ser_category\n",
" self.version = version\n",
" self.state = state\n",
" if transport_id is not None:\n",
" self.transport_id = transport_id\n",
" self.transport_info = transport_info\n",
" self.serializer = serializer\n",
" if scope_of_locality is not None:\n",
" self.scope_of_locality = scope_of_locality\n",
" if consumed_local_only is not None:\n",
" self.consumed_local_only = consumed_local_only\n",
" if is_local is not None:\n",
" self.is_local = is_local\n",
" if liveness_interval is not None:\n",
" self.liveness_interval = liveness_interval\n",
" if links is not None:\n",
" self.links = links\n",
" @property\n",
" def ser_instance_id(self):\n",
" return self._ser_instance_id\n",
" @ser_instance_id.setter\n",
" def ser_instance_id(self, ser_instance_id):\n",
" self._ser_instance_id = ser_instance_id\n",
" @property\n",
" def ser_name(self):\n",
" return self._ser_name\n",
" @ser_name.setter\n",
" def ser_name(self, ser_name):\n",
" if ser_name is None:\n",
" raise ValueError(\"Invalid value for `ser_name`, must not be `None`\") # noqa: E501\n",
" self._ser_name = ser_name\n",
" @property\n",
" def ser_category(self):\n",
" return self._ser_category\n",
" @ser_category.setter\n",
" def ser_category(self, ser_category):\n",
" self._ser_category = ser_category\n",
" @property\n",
" def version(self):\n",
" return self._version\n",
" @version.setter\n",
" def version(self, version):\n",
" if version is None:\n",
" raise ValueError(\"Invalid value for `version`, must not be `None`\") # noqa: E501\n",
" self._version = version\n",
" @property\n",
" def state(self):\n",
" return self._state\n",
" @state.setter\n",
" def state(self, state):\n",
" if state is None:\n",
" raise ValueError(\"Invalid value for `state`, must not be `None`\") # noqa: E501\n",
" self._state = state\n",
" @property\n",
" def transport_id(self):\n",
" return self._transport_id\n",
" @transport_id.setter\n",
" def transport_id(self, transport_id):\n",
" self._transport_id = transport_id\n",
" @property\n",
" def transport_info(self):\n",
" return self._transport_info\n",
" @transport_info.setter\n",
" def transport_info(self, transport_info):\n",
" if transport_info is None:\n",
" raise ValueError(\"Invalid value for `transport_info`, must not be `None`\") # noqa: E501\n",
" self._transport_info = transport_info\n",
" @property\n",
" def serializer(self):\n",
" return self._serializer\n",
" @serializer.setter\n",
" def serializer(self, serializer):\n",
" if serializer is None:\n",
" raise ValueError(\"Invalid value for `serializer`, must not be `None`\") # noqa: E501\n",
" self._serializer = serializer\n",
" @property\n",
" def scope_of_locality(self):\n",
" return self._scope_of_locality\n",
" @scope_of_locality.setter\n",
" def scope_of_locality(self, scope_of_locality):\n",
" self._scope_of_locality = scope_of_locality\n",
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" def consumed_local_only(self):\n",
" return self._consumed_local_only\n",
" @consumed_local_only.setter\n",
" def consumed_local_only(self, consumed_local_only):\n",
" self._consumed_local_only = consumed_local_only\n",
" @property\n",
" def is_local(self):\n",
" return self._is_local\n",
" @is_local.setter\n",
" def is_local(self, is_local):\n",
" self._is_local = is_local\n",
" @property\n",
" def liveness_interval(self):\n",
" return self._liveness_interval\n",
" @liveness_interval.setter\n",
" def liveness_interval(self, liveness_interval):\n",
" self._liveness_interval = liveness_interval\n",
" @property\n",
" def links(self):\n",
" return self._links\n",
" @links.setter\n",
" def links(self, links):\n",
" self._links = links\n",
" def to_dict(self):\n",
" result = {}\n",
" for attr, _ in six.iteritems(self.swagger_types):\n",
" value = getattr(self, attr)\n",
" if isinstance(value, list):\n",
" result[attr] = list(map(\n",
" lambda x: x.to_dict() if hasattr(x, \"to_dict\") else x,\n",
" value\n",
" ))\n",
" elif hasattr(value, \"to_dict\"):\n",
" result[attr] = value.to_dict()\n",
" elif isinstance(value, dict):\n",
" result[attr] = dict(map(\n",
" lambda item: (item[0], item[1].to_dict())\n",
" value.items()\n",
" ))\n",
" else:\n",
" result[attr] = value\n",
" for key, value in self.items():\n",
" result[key] = value\n",
" return result\n",
" def to_str(self):\n",
" return pprint.pformat(self.to_dict())\n",
" def __repr__(self):\n",
" return self.to_str()\n",
" def __eq__(self, other):\n",
" return False\n",
" return self.__dict__ == other.__dict__\n",
" def __ne__(self, other):\n",
" return not self == other\n",
"class CategoryRef(object):\n",
" swagger_types = {'href': 'str','id': 'str','name': 'str','version': 'str'}\n",
" attribute_map = {'href': 'href','id': 'id','name': 'name','version': 'version'}\n",
" def __init__(self, href=None, id=None, name=None, version=None): # noqa: E501\n",
" self._href = None\n",
" self._id = None\n",
" self._name = None\n",
" self._version = None\n",
" self.discriminator = None\n",
" self.href = href\n",
" self.id = id\n",
" self.name = name\n",
" self.version = version\n",
" def href(self):\n",
" return self._href\n",
" @href.setter\n",
" def href(self, href):\n",
" if href is None:\n",
" raise ValueError(\"Invalid value for `href`, must not be `None`\") # noqa: E501\n",
" self._href = href\n",
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" def id(self):\n",
" return self._id\n",
" @id.setter\n",
" def id(self, id):\n",
" if id is None:\n",
" raise ValueError(\"Invalid value for `id`, must not be `None`\") # noqa: E501\n",
" self._id = id\n",
" @property\n",
" def name(self):\n",
" return self._name\n",
" @name.setter\n",
" def name(self, name):\n",
" if name is None:\n",
" raise ValueError(\"Invalid value for `name`, must not be `None`\") # noqa: E501\n",
" self._name = name\n",
" @property\n",
" def version(self):\n",
" return self._version\n",
" @version.setter\n",
" def version(self, version):\n",
" if version is None:\n",
" raise ValueError(\"Invalid value for `version`, must not be `None`\") # noqa: E501\n",
" self._version = version\n",
" def to_dict(self):\n",
" result = {}\n",
" for attr, _ in six.iteritems(self.swagger_types):\n",
" value = getattr(self, attr)\n",
" if isinstance(value, list):\n",
" result[attr] = list(map(\n",
" lambda x: x.to_dict() if hasattr(x, \"to_dict\") else x,\n",
" value\n",
" ))\n",
" elif hasattr(value, \"to_dict\"):\n",
" result[attr] = value.to_dict()\n",
" elif isinstance(value, dict):\n",
" result[attr] = dict(map(\n",
" lambda item: (item[0], item[1].to_dict())\n",
" value.items()\n",
" ))\n",
" else:\n",
" result[attr] = value\n",
" for key, value in self.items():\n",
" result[key] = value\n",
" def to_str(self):\n",
" return pprint.pformat(self.to_dict())\n",
" def __repr__(self):\n",
" return self.to_str()\n",
" def __eq__(self, other):\n",
" return False\n",
" return self.__dict__ == other.__dict__\n",
" def __ne__(self, other):\n",
" return not self == other\n",
"\n",
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"class TransportInfo(object):\n",
" swagger_types = {\n",
" 'id': 'str','name': 'str','description': 'str','type': 'str','protocol': 'str','version': 'str','endpoint': 'OneOfTransportInfoEndpoint','security': 'SecurityInfo','impl_specific_info': 'str'}\n",
" attribute_map = {'id': 'id','name': 'name','description': 'description','type': 'type','protocol': 'protocol','version': 'version','endpoint': 'endpoint','security': 'security','impl_specific_info': 'implSpecificInfo'}\n",
" def __init__(self, id=None, name=None, description=None, type=None, protocol=None, version=None, endpoint=None, security=None, impl_specific_info=None): # noqa: E501\n",
" self._id = None\n",
" self._name = None\n",
" self._description = None\n",
" self._type = None\n",
" self._protocol = None\n",
" self._version = None\n",
" self._endpoint = None\n",
" self._security = None\n",
" self._impl_specific_info = None\n",
" self.discriminator = None\n",
" self.id = id\n",
" self.name = name\n",
" if description is not None:\n",
" self.description = description\n",
" self.type = type\n",
" self.protocol = protocol\n",
" self.version = version\n",
" self.endpoint = endpoint\n",
" self.security = security\n",
" if impl_specific_info is not None:\n",
" self.impl_specific_info = impl_specific_info\n",
" def id(self):\n",
" return self._id\n",
" @id.setter\n",
" def id(self, id):\n",
" if id is None:\n",
" raise ValueError(\"Invalid value for `id`, must not be `None`\") # noqa: E501\n",
" self._id = id\n",
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" def name(self):\n",
" return self._name\n",
" @name.setter\n",
" def name(self, name):\n",
" if name is None:\n",
" raise ValueError(\"Invalid value for `name`, must not be `None`\") # noqa: E501\n",
" self._name = name\n",
" @property\n",
" def description(self):\n",
" return self._description\n",
" @description.setter\n",
" def description(self, description):\n",
" self._description = description\n",
" @property\n",
" def type(self):\n",
" return self._type\n",
" @type.setter\n",
" def type(self, type):\n",
" if type is None:\n",
" raise ValueError(\"Invalid value for `type`, must not be `None`\") # noqa: E501\n",
" self._type = type\n",
" @property\n",
" def protocol(self):\n",
" return self._protocol\n",
" @protocol.setter\n",
" def protocol(self, protocol):\n",
" if protocol is None:\n",
" raise ValueError(\"Invalid value for `protocol`, must not be `None`\") # noqa: E501\n",
" self._protocol = protocol\n",
" @property\n",
" def version(self):\n",
" return self._version\n",
" @version.setter\n",
" def version(self, version):\n",
" if version is None:\n",
" raise ValueError(\"Invalid value for `version`, must not be `None`\") # noqa: E501\n",
" self._version = version\n",
" @property\n",
" def endpoint(self):\n",
" return self._endpoint\n",
" @endpoint.setter\n",
" def endpoint(self, endpoint):\n",
" if endpoint is None:\n",
" raise ValueError(\"Invalid value for `endpoint`, must not be `None`\") # noqa: E501\n",
" self._endpoint = endpoint\n",
" @property\n",
" def security(self):\n",
" return self._security\n",
" @security.setter\n",
" def security(self, security):\n",
" if security is None:\n",
" raise ValueError(\"Invalid value for `security`, must not be `None`\") # noqa: E501\n",
" self._security = security\n",
" @property\n",
" def impl_specific_info(self):\n",
" return self._impl_specific_info\n",
" @impl_specific_info.setter\n",
" def impl_specific_info(self, impl_specific_info):\n",
" self._impl_specific_info = impl_specific_info\n",
" def to_dict(self):\n",
" result = {}\n",
" for attr, _ in six.iteritems(self.swagger_types):\n",
" value = getattr(self, attr)\n",
" if isinstance(value, list):\n",
" result[attr] = list(map(\n",
" lambda x: x.to_dict() if hasattr(x, \"to_dict\") else x,\n",
" value\n",
" ))\n",
" elif hasattr(value, \"to_dict\"):\n",
" result[attr] = value.to_dict()\n",
" elif isinstance(value, dict):\n",
" result[attr] = dict(map(\n",
" lambda item: (item[0], item[1].to_dict())\n",
" value.items()\n",
" ))\n",
" else:\n",
" result[attr] = value\n",
" for key, value in self.items():\n",
" result[key] = value\n",
" return result\n",
" def to_str(self):\n",
" return pprint.pformat(self.to_dict())\n",
" def __repr__(self):\n",
" return self.to_str()\n",
" def __eq__(self, other):\n",
" return False\n",
" return self.__dict__ == other.__dict__\n",
" def __ne__(self, other):\n",
" return not self == other\n",
"\n",
"class SecurityInfo(object):\n",
" swagger_types = {'o_auth2_info': 'SecurityInfoOAuth2Info'}\n",
" attribute_map = {'o_auth2_info': 'oAuth2Info'}\n",
" def __init__(self, o_auth2_info=None): # noqa: E501\n",
" self._o_auth2_info = None\n",
" self.discriminator = None\n",
" if o_auth2_info is not None:\n",
" self.o_auth2_info = o_auth2_info\n",
" def o_auth2_info(self):\n",
" return self._o_auth2_info\n",
" @o_auth2_info.setter\n",
" def o_auth2_info(self, o_auth2_info):\n",
" self._o_auth2_info = o_auth2_info\n",
" def to_dict(self):\n",
" result = {}\n",
" for attr, _ in six.iteritems(self.swagger_types):\n",
" value = getattr(self, attr)\n",
" if isinstance(value, list):\n",
" result[attr] = list(map(\n",
" lambda x: x.to_dict() if hasattr(x, \"to_dict\") else x,\n",
" value\n",
" ))\n",
" elif hasattr(value, \"to_dict\"):\n",
" result[attr] = value.to_dict()\n",
" elif isinstance(value, dict):\n",
" result[attr] = dict(map(\n",
" lambda item: (item[0], item[1].to_dict())\n",