MEC application.ipynb

    "\n",
    "    # Setup the MEC application\n",
    "    (sandbox_name, app_inst_id, sub_id) = mec_app_setup()\n",
    "\n",
    "    # Create a V2X message subscritpion\n",
    "    filter_criteria = V2xMsgSubscriptionFilterCriteria(['1', '2'], 'ETSI')\n",
    "    v2xMsgSubscription = V2xMsgSubscription(callback_reference = CALLBACK_URI + '/vis/v2/v2x_msg_notification', filter_criteria = filter_criteria)\n",
    "    result, status, v2x_sub_id, v2x_resource = subscribe_v2x_message(sandbox_name, v2xMsgSubscription)\n",
    "    if status != 201:\n",
    "        logger.error('Failed to create subscription')\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",
    "    logger.info('app_inst_id: ' + app_inst_id.id)\n",
    "    if sub_id is not None:\n",
    "        logger.info('sub_id: ' + sub_id)\n",
    "    time.sleep(STABLE_TIME_OUT)\n",
    "\n",
    "    # Delete the V2X message subscritpion\n",
    "    delete_mec_subscription(v2x_resource)\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()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Putting everything together\n",
    "\n",
    "let's add a subscription the our previous MEC application.\n",
    "The sequence is the following:\n",
    "- Mec application setup\n",
    "- Start the notification server\n",
    "- Get UU unicast provisioning information\n",
    "- Add subscription\n",
    "- Stop the notification server\n",
    "- Mec application termination"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def process_main():\n",
    "    \"\"\"\n",
    "    This is the third sprint of our skeleton of our MEC application:\n",
    "        - Mec application setup\n",
    "        - Start the notification server\n",
    "        - Get UU unicast provisioning information\n",
    "        - Add subscription\n",
    "        - Stop the notification server\n",
    "        - Mec application termination\n",
    "    \"\"\" \n",
    "    global CALLBACK_URI, logger\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",
    "    (sandbox_name, app_inst_id, sub_id) = mec_app_setup()\n",
    "\n",
    "    # Get UU unicast provisioning information\n",
    "    ecgi = \"268708941961,268711972264\" # List of ecgi spearated by a ','\n",
    "    result = send_uu_unicast_provisioning_info(sandbox_name, ecgi)\n",
    "    if result is None:\n",
    "        logger.error('Failed to get UU unicast provisioning information')\n",
    "    else:\n",
    "        logger.info('UU unicast provisioning information: ' + str(result))\n",
    "\n",
    "    # Start notification server in a daemonized thread\n",
    "    httpd = start_notification_server()\n",
    "\n",
    "    # Create a V2X message subscritpion\n",
    "    filter_criteria = V2xMsgSubscriptionFilterCriteria(['1', '2'], 'ETSI')\n",
    "    v2xMsgSubscription = V2xMsgSubscription(callback_reference = CALLBACK_URI + '/vis/v2/v2x_msg_notification', filter_criteria = filter_criteria)\n",
    "    result, status, v2x_sub_id, v2x_resource = subscribe_v2x_message(sandbox_name, v2xMsgSubscription)\n",
    "    if status != 201:\n",
    "        logger.error('Failed to create subscription')\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",
    "    logger.info('v2x_resource: ' + v2x_resource)\n",
    "    if sub_id is not None:\n",
    "        logger.info('sub_id: ' + sub_id)\n",
    "    time.sleep(STABLE_TIME_OUT)\n",
    "\n",
    "    # Stop notification server\n",
    "    stop_notification_server(httpd)\n",
    "\n",
    "    # Delete the V2X message subscritpion\n",
    "    delete_mec_subscription(v2x_resource)\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": [
    "## Create our fourth MEC application: how to use V2X QoS Prediction\n",
    "\n",
    "The MEC Sanbox V2X QoS Prediction is based on a grid Map of Monaco City where areas are categorized into residential, commercial and coastal. \n",
    "PoAs (Point Of Access) are categorized depending on where they lie in each grid. \n",
    "Each category has its own traffic load patterns which are pre-determin. The V2X QoS Prediction) will give more accurate values of RSRP and RSRQ based on the diurnal traffic patterns for each. The network scenario named \"4g-5g-v2x-macro\" must be used to get access to the V2X QoS Prediction feature.\n",
    "\n",
    "**Note:** The MEC Sanbox V2X QoS Prediction is enabled when the PredictedQos.routes.routeInfo.time attribute is present in the request (see ETSI GS MEC 030 V3.2.1 (2024-02) Clause 6.2.6 Type: Preditecd QoS)\n",
    "\n",
    "Limitations:\n",
    "* The Location Granularity is currently not being validated as RSRP/RSRP calculations are done at the exact location provided by the user.\n",
    "* Time Granularity is currently not supported by the Prediction Function (design limitations of the minimal, emulated, pre-determined traffic prediction)\n",
    "* Upper limit on the number of elements (10 each) in the routes and routeInfo structures (arrays) to not affect user experience and respoy\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The table below describes the excepted Qos with and without the prediction model in deiffrent area and at different time.\n",
    "\n",
    "|     Location        |               Time                  |      PoA         |  Category   |    Status     | QoS without Prediction Model | QoS with Prediction Model | Expected |\n",
    "| \t              | (Unix time in sec) | Standard (GMT) |                  |             |               |    RSRP        |   RSRQ      |    RSRP     |   RSRQ      |          |\n",
    "| ------------------- | -----------        | -------------- | ---------------- | ----------- | ------------- | -------------- | ----------- | ----------- | ----------- | -------- |\n",
    "| 43.729416,7.414853  |     1653295620     |    08:47:00    | 4g-macro-cell-2  | Residential | Congested     |     63         |     21      |     60      |     20      |   Yes    |\n",
    "| 43.732456,7.418417  |     1653299220     |    09:47:00    | 4g-macro-cell-3  | Residential | Not Congested |     55         |     13      |     55      |     13      |   Yes    |\n",
    "| 43.73692,7.4209256  |     1653302820     |    10:47:00    | 4g-macro-cell-6  | Coastal     | Not Congested |     68         |     26      |     68      |     26      |   Yes    |\n",
    "| 43.738007,7.4230533 |     1653305220     |    11:27:00    | 4g-macro-cell-6  | Coastal     | Not Congested |     55         |     13      |     55      |     13      |   Yes    |\n",
    "| 43.739685,7.424881  |     1653308820     |    12:27:00    | 4g-macro-cell-7  | Commercial  | Congested     |     63         |     21      |     40      |     13      |   Yes    |\n",
    "| 43.74103,7.425759   |     1653312600     |    13:30:00    | 4g-macro-cell-7  | Commercial  | Congested     |     56         |     14      |     40      |     8       |   Yes    |\n",
    "| 43.74258,7.4277945  |     1653315900     |    14:25:00    | 4g-macro-cell-8  | Coastal     | Congested     |     59         |     17      |     47      |     13      |   Yes    |\n",
    "| 43.744972,7.4295254 |     1653318900     |    15:15:00    | 4g-macro-cell-8  | Coastal     | Congested     |     53         |     11      |     40      |     5       |   Yes    |\n",
    "| 43.74773,7.4320855  |     1653322500     |    16:15:00    | 5g-small-cell-14 | Commercial  | Congested     |     78         |     69      |     60      |     53      |   Yes    |\n",
    "| 43.749264,7.435894  |     1653329700     |    18:15:00    | 5g-small-cell-20 | Commercial  | Not Congested |     84         |     72      |     84      |     72      |  Yes    |\t72\t84\t72\tYes\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The image below illustrate the table above: [here](images/V2X Predicted QoS.jpg).\n",
    "\n",
    "Here is an example of a basic V2X predicted QoS request based on two point in path at 8am in Residential area:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```json\n",
    "{\n",
    "  \"predictionTarget\": \"SINGLE_UE_PREDICTION\",\n",
    "  \"timeGranularity\": null,\n",
    "  \"locationGranularity\": \"30\",\n",
    "  \"routes\": [\n",
    "      {\n",
    "        \"routeInfo\": [\n",
    "          {\n",
    "            \"location\": {\n",
    "              \"geoArea\": {\n",
    "                \"latitude\": 43.729416,\n",
    "                \"longitude\": 7.414853\n",
    "              }\n",
    "            },\n",
    "            \"time\": {\n",
    "              \"nanoSeconds\": 0,\n",
    "              \"seconds\": 1653295620\n",
    "            }\n",
    "          },\n",
    "          {\n",
    "              \"location\": {\n",
    "                \"geoArea\": {\n",
    "                  \"latitude\": 43.732456,\n",
    "                  \"longitude\": 7.418417\n",
    "                }\n",
    "              },\n",
    "            \"time\": {\n",
    "              \"nanoSeconds\": 0,\n",
    "              \"seconds\": 1653299220\n",
    "        ]\n",
    "      }\n",
    "    ]\n",
    "}\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let first create the required types before to prepare a V2X Predicted QoS request based on the JSON above.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Routes(object):\n",
    "    swagger_types = {'_route_info': 'list[RouteInfo]'}\n",
    "    attribute_map = {'_route_info': 'routeInfo'}\n",
    "    def __init__(self, route_info:list):  # noqa: E501\n",
    "        self._route_info = None\n",
    "        self.route_info = route_info\n",
    "    @property\n",
    "    def route_info(self):\n",
    "        return self._route_info\n",
    "    @route_info.setter\n",
    "    def route_info(self, route_info):\n",
    "        if route_info is None:\n",
    "            raise ValueError(\"Invalid value for `route_info`, must not be `None`\")  # noqa: E501\n",
    "        self._route_info = route_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(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(Routes, 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, Routes):\n",
    "            return False\n",
    "        return self.__dict__ == other.__dict__\n",
    "    def __ne__(self, other):\n",
    "        return not self == other\n",
    "\n",
    "class LocationInfo(object):\n",
    "    swagger_types = {'_ecgi': 'Ecgi', '_geo_area': 'LocationInfoGeoArea'}\n",
    "    attribute_map = {'_ecgi': 'ecgi', '_geo_area': 'geoArea'}\n",
    "    def __init__(self, ecgi=None, geo_area=None):  # noqa: E501\n",
    "        self._ecgi = None\n",
    "        self._geo_area = None\n",
    "        self.discriminator = None\n",
    "        if ecgi is not None:\n",
    "            self.ecgi = ecgi\n",
    "        if geo_area is not None:\n",
    "            self.geo_area = geo_area\n",
    "    @property\n",
    "    def ecgi(self):\n",
    "        return self._ecgi\n",
    "    @ecgi.setter\n",
    "    def ecgi(self, ecgi):\n",
    "        self._ecgi = ecgi\n",
    "    @property\n",
    "    def geo_area(self):\n",
    "        return self._geo_area\n",
    "    @geo_area.setter\n",
    "    def geo_area(self, geo_area):\n",
    "        self._geo_area = geo_area\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(LocationInfo, 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, LocationInfo):\n",
    "            return False\n",
    "        return self.__dict__ == other.__dict__\n",
    "    def __ne__(self, other):\n",
    "        return not self == other\n",
    "\n",
    "class RouteInfo(object):\n",
    "    swagger_types = {'_location': 'LocationInfo', '_time_stamp': 'TimeStamp'}\n",
    "    attribute_map = {'_location': 'location', '_time_stamp': 'time'}\n",
    "    def __init__(self, location:LocationInfo, time_stamp=None):  # noqa: E501\n",
    "        self._location = None\n",
    "        self.location = location\n",
    "        self._time_stamp = None\n",
    "        if time_stamp is not None:\n",
    "            self.time_stamp = time_stamp\n",
    "    @property\n",
    "    def location(self):\n",
    "        return self._location\n",
    "    @location.setter\n",
    "    def location(self, location):\n",
    "        if location is None:\n",
    "            raise ValueError(\"Invalid value for `location`, must not be `None`\")  # noqa: E501\n",
    "        self._location = location\n",
    "    @property\n",
    "    def time_stamp(self):\n",
    "        return self._time_stamp\n",
    "    @time_stamp.setter\n",
    "    def time_stamp(self, time_stamp):\n",
    "        self._time_stamp = time_stamp\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(RouteInfo, 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, RouteInfo):\n",
    "            return False\n",
    "        return self.__dict__ == other.__dict__\n",
    "    def __ne__(self, other):\n",
    "        return not self == other\n",
    "\n",
    "class LocationInfoGeoArea(object):\n",
    "    swagger_types = {'_latitude': 'float', '_longitude': 'float'}\n",
    "    attribute_map = {'_latitude': 'latitude', '_longitude': 'longitude'}\n",
    "    def __init__(self, latitude, longitude):  # noqa: E501\n",
    "        self._latitude = None\n",
    "        self._longitude = None\n",
    "        self.discriminator = None\n",
    "        if latitude is not None:\n",
    "            self.latitude = latitude\n",
    "        if longitude is not None:\n",
    "            self.longitude = longitude\n",
    "    @property\n",
    "    def latitude(self):\n",
    "        return self._latitude\n",
    "    @latitude.setter\n",
    "    def latitude(self, latitude):\n",
    "        if latitude is None:\n",
    "            raise ValueError(\"Invalid value for `latitude`, must not be `None`\")  # noqa: E501\n",
    "        self._latitude = latitude\n",
    "    @property\n",
    "    def longitude(self):\n",
    "        return self._longitude\n",
    "    @longitude.setter\n",
    "    def longitude(self, longitude):\n",
    "        if longitude is None:\n",
    "            raise ValueError(\"Invalid value for `longitude`, must not be `None`\")  # noqa: E501\n",
    "        self._longitude = longitude\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(LocationInfoGeoArea, 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, LocationInfoGeoArea):\n",
    "            return False\n",
    "        return self.__dict__ == other.__dict__\n",
    "    def __ne__(self, other):\n",
    "        return not self == other\n",
    "\n",
    "class Ecgi(object):\n",
    "    swagger_types = {'_cellId': 'CellId', '_plmn': 'Plmn'}\n",
    "    attribute_map = {'_cellId': 'cellId', '_plmn': 'plmn'}\n",
    "    def __init__(self, cellId=None, plmn=None):  # noqa: E501\n",
    "        self._cellId = None\n",
    "        self._plmn = None\n",
    "        self.discriminator = None\n",
    "        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"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_qos_prediction(sandbox_name: str) -> object:\n",
    "    \"\"\"\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",
    "\n",
    "    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",
    "    return None\n",
    "    # End of function send_uu_unicast_provisioning_info"
   ]
  },
  {
   "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"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-11-12 13:31:23,547 - __main__ - DEBUG - Starting at 20241112-133123\n",
      "2024-11-12 13:31:23,548 - __main__ - DEBUG - \t pwd= /home/jovyan/work/mecapp\n",
      "2024-11-12 13:31:23,549 - __main__ - DEBUG - >>> process_login\n",
      "2024-11-12 13:31:23,550 DEBUG Resetting dropped connection: mec-platform2.etsi.org\n",
      "2024-11-12 13:31:23,621 DEBUG https://mec-platform2.etsi.org:443 \"POST /sandbox-api/v1/login?provider=Jupyter2024 HTTP/11\" 201 0\n",
      "2024-11-12 13:31:23,622 DEBUG response body: b'{\"user_code\":\"sbx8rconuz\",\"verification_uri\":\"\"}'\n",
      "2024-11-12 13:31:23,624 - __main__ - DEBUG - process_login (step1): oauth: {'user_code': 'sbx8rconuz', 'verification_uri': ''}\n",
      "2024-11-12 13:31:23,626 - __main__ - DEBUG - =======================> DO AUTHORIZATION WITH CODE : sbx8rconuz\n",
      "2024-11-12 13:31:23,627 - __main__ - DEBUG - =======================> DO AUTHORIZATION HERE :      \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "send: b'POST /sandbox-api/v1/login?provider=Jupyter2024 HTTP/1.1\\r\\nHost: mec-platform2.etsi.org\\r\\nAccept-Encoding: identity\\r\\nContent-Length: 2\\r\\nAccept: application/json\\r\\nContent-Type: application/json\\r\\nUser-Agent: Swagger-Codegen/1.0.0/python\\r\\n\\r\\n'\n",
      "send: b'{}'\n",
      "reply: 'HTTP/1.1 201 Created\\r\\n'\n",
      "header: Date: Tue, 12 Nov 2024 13:31:23 GMT\n",
      "header: Content-Type: application/json; charset=UTF-8\n",
      "header: Content-Length: 48\n",
      "header: Connection: keep-alive\n",
      "header: Strict-Transport-Security: max-age=15724800; includeSubDomains\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-11-12 13:31:26,637 DEBUG https://mec-platform2.etsi.org:443 \"GET /sandbox-api/v1/namespace?user_code=sbx8rconuz HTTP/11\" 200 0\n",
      "2024-11-12 13:31:26,639 DEBUG response body: b'{\"sandbox_name\":\"sbx8rconuz\"}'\n",
      "2024-11-12 13:31:26,642 - __main__ - DEBUG - process_login (step2): result: {'sandbox_name': 'sbx8rconuz'}\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "send: b'GET /sandbox-api/v1/namespace?user_code=sbx8rconuz HTTP/1.1\\r\\nHost: mec-platform2.etsi.org\\r\\nAccept-Encoding: identity\\r\\nAccept: application/json\\r\\nContent-Type: application/json\\r\\nUser-Agent: Swagger-Codegen/1.0.0/python\\r\\n\\r\\n'\n",
      "reply: 'HTTP/1.1 200 OK\\r\\n'\n",
      "header: Date: Tue, 12 Nov 2024 13:31:26 GMT\n",
      "header: Content-Type: application/json; charset=UTF-8\n",
      "header: Content-Length: 29\n",
      "header: Connection: keep-alive\n",
      "header: Strict-Transport-Security: max-age=15724800; includeSubDomains\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-11-12 13:31:36,642 - __main__ - DEBUG - >>> get_network_scenarios: sandbox=sbx8rconuz\n",
      "2024-11-12 13:31:36,644 DEBUG Resetting dropped connection: mec-platform2.etsi.org\n",
      "2024-11-12 13:31:36,747 DEBUG https://mec-platform2.etsi.org:443 \"GET /sandbox-api/v1/sandboxNetworkScenarios?sandbox_name=sbx8rconuz HTTP/11\" 200 0\n",
      "2024-11-12 13:31:36,748 DEBUG response body: b'[{\"id\":\"4g-5g-macro-v2x\"},{\"id\":\"4g-5g-macro-v2x-fed\"},{\"id\":\"4g-5g-wifi-macro\"},{\"id\":\"4g-macro\"},{\"id\":\"4g-wifi-macro\"},{\"id\":\"dual-mep-4g-5g-wifi-macro\"},{\"id\":\"dual-mep-short-path\"}]'\n",
      "2024-11-12 13:31:36,750 - __main__ - DEBUG - get_network_scenarios: result: [{'id': '4g-5g-macro-v2x'}, {'id': '4g-5g-macro-v2x-fed'}, {'id': '4g-5g-wifi-macro'}, {'id': '4g-macro'}, {'id': '4g-wifi-macro'}, {'id': 'dual-mep-4g-5g-wifi-macro'}, {'id': 'dual-mep-short-path'}]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "send: b'GET /sandbox-api/v1/sandboxNetworkScenarios?sandbox_name=sbx8rconuz HTTP/1.1\\r\\nHost: mec-platform2.etsi.org\\r\\nAccept-Encoding: identity\\r\\nAccept: application/json\\r\\nContent-Type: application/json\\r\\nUser-Agent: Swagger-Codegen/1.0.0/python\\r\\n\\r\\n'\n",
      "reply: 'HTTP/1.1 200 OK\\r\\n'\n",
      "header: Date: Tue, 12 Nov 2024 13:31:36 GMT\n",
      "header: Content-Type: application/json; charset=UTF-8\n",
      "header: Content-Length: 186\n",
      "header: Connection: keep-alive\n",
      "header: Strict-Transport-Security: max-age=15724800; includeSubDomains\n"
     ]
    },
    {
     "name": "stderr",