Django_NetBox_Shell.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Run NetBox Shell in Jupyter Notebook  --> Need to use nb_python virtual enviornment! "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### https://demo.netbox.dev/static/docs/administration/netbox-shell/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### https://docs.djangoproject.com/en/4.2/ref/models/querysets/#id4"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# <div class=\"alert alert-danger\">The NetBox shell affords direct access to NetBox data and function with very little validation in place. As such, it is crucial to ensure that only authorized, knowledgeable users are ever granted access to it. Never perform any action in the management shell without having a full backup in place.</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4.2.11\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "os.environ[\"DJANGO_ALLOW_ASYNC_UNSAFE\"] = \"true\" \n",
    "\n",
    "%run -i '/opt/netbox/netbox/manage.py' 'nbshell' '--version'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "from django.contrib.auth.models import User"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<QuerySet [<User: dnoland>, '...(remaining elements truncated)...']>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "User.objects.all()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### List ALL of the NetBox Models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Circuits:\n",
      "  CircuitType\n",
      "  Circuit\n",
      "  CircuitTermination\n",
      "  Provider\n",
      "  ProviderAccount\n",
      "  ProviderNetwork\n",
      "Core:\n",
      "  ConfigRevision\n",
      "  ContentType\n",
      "  Job\n",
      "  DataSource\n",
      "  DataFile\n",
      "  AutoSyncRecord\n",
      "  ManagedFile\n",
      "DCIM:\n",
      "  ConsolePort\n",
      "  ConsoleServerPort\n",
      "  PowerPort\n",
      "  PowerOutlet\n",
      "  Interface\n",
      "  FrontPort\n",
      "  RearPort\n",
      "  ModuleBay\n",
      "  DeviceBay\n",
      "  InventoryItemRole\n",
      "  InventoryItem\n",
      "  Cable\n",
      "  CableTermination\n",
      "  CablePath\n",
      "  ConsolePortTemplate\n",
      "  ConsoleServerPortTemplate\n",
      "  PowerPortTemplate\n",
      "  PowerOutletTemplate\n",
      "  InterfaceTemplate\n",
      "  FrontPortTemplate\n",
      "  RearPortTemplate\n",
      "  ModuleBayTemplate\n",
      "  DeviceBayTemplate\n",
      "  InventoryItemTemplate\n",
      "  Manufacturer\n",
      "  DeviceType\n",
      "  ModuleType\n",
      "  DeviceRole\n",
      "  Platform\n",
      "  Device\n",
      "  Module\n",
      "  VirtualChassis\n",
      "  VirtualDeviceContext\n",
      "  PowerPanel\n",
      "  PowerFeed\n",
      "  RackRole\n",
      "  Rack\n",
      "  RackReservation\n",
      "  Region\n",
      "  SiteGroup\n",
      "  Site\n",
      "  Location\n",
      "Extras:\n",
      "  Tag\n",
      "  TaggedItem\n",
      "  ObjectChange\n",
      "  ConfigContext\n",
      "  ConfigTemplate\n",
      "  CustomField\n",
      "  CustomFieldChoiceSet\n",
      "  Dashboard\n",
      "  EventRule\n",
      "  Webhook\n",
      "  CustomLink\n",
      "  ExportTemplate\n",
      "  SavedFilter\n",
      "  ImageAttachment\n",
      "  JournalEntry\n",
      "  Bookmark\n",
      "  Report\n",
      "  ReportModule\n",
      "  Script\n",
      "  ScriptModule\n",
      "  CachedValue\n",
      "  Branch\n",
      "  StagedChange\n",
      "IPAM:\n",
      "  ASNRange\n",
      "  ASN\n",
      "  FHRPGroup\n",
      "  FHRPGroupAssignment\n",
      "  VRF\n",
      "  RouteTarget\n",
      "  RIR\n",
      "  Aggregate\n",
      "  Role\n",
      "  Prefix\n",
      "  IPRange\n",
      "  IPAddress\n",
      "  ServiceTemplate\n",
      "  Service\n",
      "  VLANGroup\n",
      "  VLAN\n",
      "Tenancy:\n",
      "  ContactGroup\n",
      "  ContactRole\n",
      "  Contact\n",
      "  ContactAssignment\n",
      "  TenantGroup\n",
      "  Tenant\n",
      "Users:\n",
      "  NetBoxUser\n",
      "  NetBoxGroup\n",
      "  UserConfig\n",
      "  Token\n",
      "  ObjectPermission\n",
      "Virtualization:\n",
      "  ClusterType\n",
      "  ClusterGroup\n",
      "  Cluster\n",
      "  VirtualMachine\n",
      "  VMInterface\n",
      "  VirtualDisk\n",
      "VPN:\n",
      "  IKEProposal\n",
      "  IKEPolicy\n",
      "  IPSecProposal\n",
      "  IPSecPolicy\n",
      "  IPSecProfile\n",
      "  L2VPN\n",
      "  L2VPNTermination\n",
      "  TunnelGroup\n",
      "  Tunnel\n",
      "  TunnelTermination\n",
      "Wireless:\n",
      "  WirelessLANGroup\n",
      "  WirelessLAN\n",
      "  WirelessLink\n"
     ]
    }
   ],
   "source": [
    "%run -i '/opt/netbox/netbox/manage.py' 'nbshell' '-c' 'lsmodels()'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## High Level Example of Model Relationships in NetBox"
   ]
  },
  {
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    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Untitled.jpg](attachment:Untitled.jpg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Help for the IPAddress Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on class IPAddress in module ipam.models.ip:\n",
      "\n",
      "class IPAddress(netbox.models.PrimaryModel)\n",
      " |  IPAddress(*args, **kwargs)\n",
      " |  \n",
      " |  An IPAddress represents an individual IPv4 or IPv6 address and its mask. The mask length should match what is\n",
      " |  configured in the real world. (Typically, only loopback interfaces are configured with /32 or /128 masks.) Like\n",
      " |  Prefixes, IPAddresses can optionally be assigned to a VRF. An IPAddress can optionally be assigned to an Interface.\n",
      " |  Interfaces can have zero or more IPAddresses assigned to them.\n",
      " |  \n",
      " |  An IPAddress can also optionally point to a NAT inside IP, designating itself as a NAT outside IP. This is useful,\n",
      " |  for example, when mapping public addresses to private addresses. When an Interface has been assigned an IPAddress\n",
      " |  which has a NAT outside IP, that Interface's Device can use either the inside or outside IP as its primary IP.\n",
      " |  \n",
      " |  Method resolution order:\n",
      " |      IPAddress\n",
      " |      netbox.models.PrimaryModel\n",
      " |      netbox.models.NetBoxModel\n",
      " |      netbox.models.NetBoxFeatureSet\n",
      " |      netbox.models.features.BookmarksMixin\n",
      " |      netbox.models.features.ChangeLoggingMixin\n",
      " |      netbox.models.features.CloningMixin\n",
      " |      netbox.models.features.CustomFieldsMixin\n",
      " |      netbox.models.features.CustomLinksMixin\n",
      " |      netbox.models.features.CustomValidationMixin\n",
      " |      netbox.models.features.ExportTemplatesMixin\n",
      " |      netbox.models.features.JournalingMixin\n",
      " |      netbox.models.features.TagsMixin\n",
      " |      netbox.models.features.EventRulesMixin\n",
      " |      django.db.models.base.Model\n",
      " |      django.db.models.utils.AltersData\n",
      " |      builtins.object\n",
      " |  \n",
      " |  Methods defined here:\n",
      " |  \n",
      " |  __init__(self, *args, **kwargs)\n",
      " |      Initialize self.  See help(type(self)) for accurate signature.\n",
      " |  \n",
      " |  __str__(self)\n",
      " |      Return str(self).\n",
      " |  \n",
      " |  address = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  assigned_object_id = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  clean(self)\n",
      " |      Validate the model for GenericForeignKey fields to ensure that the content type and object ID exist.\n",
      " |  \n",
      " |  clone(self)\n",
      " |      Returns a dictionary of attributes suitable for creating a copy of the current instance. This is used for pre-\n",
      " |      populating an object creation form in the UI. By default, this method will replicate any fields listed in the\n",
      " |      model's `clone_fields` list (if defined), but it can be overridden to apply custom logic.\n",
      " |      \n",
      " |      ```python\n",
      " |      class MyModel(NetBoxModel):\n",
      " |          def clone(self):\n",
      " |              attrs = super().clone()\n",
      " |              attrs['extra-value'] = 123\n",
      " |              return attrs\n",
      " |      ```\n",
      " |  \n",
      " |  comments = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  created = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  custom_field_data = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  description = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  dns_name = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  get_absolute_url(self)\n",
      " |  \n",
      " |  get_duplicates(self)\n",
      " |  \n",
      " |  get_next_available_ip(self)\n",
      " |      Return the next available IP address within this IP's network (if any)\n",
      " |  \n",
      " |  get_related_ips(self)\n",
      " |      Return all IPAddresses belonging to the same VRF.\n",
      " |  \n",
      " |  get_role_color(self)\n",
      " |  \n",
      " |  get_role_display = _method(self, *, field=<django.db.models.fields.CharField: role>)\n",
      " |  \n",
      " |  get_status_color(self)\n",
      " |  \n",
      " |  get_status_display = _method(self, *, field=<django.db.models.fields.CharField: status>)\n",
      " |  \n",
      " |  id = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  last_updated = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  role = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  save(self, *args, **kwargs)\n",
      " |      Save the current instance. Override this in a subclass if you want to\n",
      " |      control the saving process.\n",
      " |      \n",
      " |      The 'force_insert' and 'force_update' parameters can be used to insist\n",
      " |      that the \"save\" must be an SQL insert or update (or equivalent for\n",
      " |      non-SQL backends), respectively. Normally, they should not be set.\n",
      " |  \n",
      " |  status = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  to_objectchange(self, action)\n",
      " |      Return a new ObjectChange representing a change made to this object. This will typically be called automatically\n",
      " |      by ChangeLoggingMiddleware.\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Readonly properties defined here:\n",
      " |  \n",
      " |  family\n",
      " |  \n",
      " |  is_oob_ip\n",
      " |  \n",
      " |  is_primary_ip\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Data descriptors defined here:\n",
      " |  \n",
      " |  assigned_object\n",
      " |  \n",
      " |  assigned_object_type\n",
      " |  \n",
      " |  assigned_object_type_id\n",
      " |  \n",
      " |  bookmarks\n",
      " |  \n",
      " |  fhrpgroup\n",
      " |  \n",
      " |  interface\n",
      " |  \n",
      " |  journal_entries\n",
      " |  \n",
      " |  mask_length\n",
      " |  \n",
      " |  nat_inside\n",
      " |  \n",
      " |  nat_inside_id\n",
      " |  \n",
      " |  nat_outside\n",
      " |  \n",
      " |  netbox_dns_records\n",
      " |  \n",
      " |  services\n",
      " |  \n",
      " |  tagged_items\n",
      " |  \n",
      " |  tenant\n",
      " |  \n",
      " |  tenant_id\n",
      " |  \n",
      " |  tunnel_terminations\n",
      " |  \n",
      " |  vminterface\n",
      " |  \n",
      " |  vrf\n",
      " |  \n",
      " |  vrf_id\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Data and other attributes defined here:\n",
      " |  \n",
      " |  DoesNotExist = <class 'ipam.models.ip.IPAddress.DoesNotExist'>\n",
      " |  \n",
      " |  MultipleObjectsReturned = <class 'ipam.models.ip.IPAddress.MultipleObj...\n",
      " |  \n",
      " |  clone_fields = ('vrf', 'tenant', 'status', 'role', 'dns_name', 'descri...\n",
      " |  \n",
      " |  objects = <ipam.managers.IPAddressManager object>\n",
      " |  \n",
      " |  tags = <taggit.managers._TaggableManager object>\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Data and other attributes inherited from netbox.models.PrimaryModel:\n",
      " |  \n",
      " |  Meta = <class 'netbox.models.PrimaryModel.Meta'>\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Readonly properties inherited from netbox.models.NetBoxFeatureSet:\n",
      " |  \n",
      " |  docs_url\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Methods inherited from netbox.models.features.ChangeLoggingMixin:\n",
      " |  \n",
      " |  serialize_object(self, exclude=None)\n",
      " |      Return a JSON representation of the instance. Models can override this method to replace or extend the default\n",
      " |      serialization logic provided by the `serialize_object()` utility function.\n",
      " |      \n",
      " |      Args:\n",
      " |          exclude: An iterable of attribute names to omit from the serialized output\n",
      " |  \n",
      " |  snapshot(self)\n",
      " |      Save a snapshot of the object's current state in preparation for modification. The snapshot is saved as\n",
      " |      `_prechange_snapshot` on the instance.\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Methods inherited from netbox.models.features.CustomFieldsMixin:\n",
      " |  \n",
      " |  cf = <functools.cached_property object>\n",
      " |      Return a dictionary mapping each custom field for this instance to its deserialized value.\n",
      " |      \n",
      " |      ```python\n",
      " |      >>> tenant = Tenant.objects.first()\n",
      " |      >>> tenant.cf\n",
      " |      {'primary_site': <Site: DM-NYC>, 'cust_id': 'DMI01', 'is_active': True}\n",
      " |      ```\n",
      " |  \n",
      " |  custom_fields = <functools.cached_property object>\n",
      " |      Return the QuerySet of CustomFields assigned to this model.\n",
      " |      \n",
      " |      ```python\n",
      " |      >>> tenant = Tenant.objects.first()\n",
      " |      >>> tenant.custom_fields\n",
      " |      <RestrictedQuerySet [<CustomField: Primary site>, <CustomField: Customer ID>, <CustomField: Is active>]>\n",
      " |      ```\n",
      " |  \n",
      " |  get_custom_fields(self, omit_hidden=False)\n",
      " |      Return a dictionary of custom fields for a single object in the form `{field: value}`.\n",
      " |      \n",
      " |      ```python\n",
      " |      >>> tenant = Tenant.objects.first()\n",
      " |      >>> tenant.get_custom_fields()\n",
      " |      {<CustomField: Customer ID>: 'CYB01'}\n",
      " |      ```\n",
      " |      \n",
      " |      Args:\n",
      " |          omit_hidden: If True, custom fields with no UI visibility will be omitted.\n",
      " |  \n",
      " |  get_custom_fields_by_group(self)\n",
      " |      Return a dictionary of custom field/value mappings organized by group. Hidden fields are omitted.\n",
      " |      \n",
      " |      ```python\n",
      " |      >>> tenant = Tenant.objects.first()\n",
      " |      >>> tenant.get_custom_fields_by_group()\n",
      " |      {\n",
      " |          '': {<CustomField: Primary site>: <Site: DM-NYC>},\n",
      " |          'Billing': {<CustomField: Customer ID>: 'DMI01', <CustomField: Is active>: True}\n",
      " |      }\n",
      " |      ```\n",
      " |  \n",
      " |  populate_custom_field_defaults(self)\n",
      " |      Apply the default value for each custom field\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Methods inherited from django.db.models.base.Model:\n",
      " |  \n",
      " |  __eq__(self, other)\n",
      " |      Return self==value.\n",
      " |  \n",
      " |  __getstate__(self)\n",
      " |      Hook to allow choosing the attributes to pickle.\n",
      " |  \n",
      " |  __hash__(self)\n",
      " |      Return hash(self).\n",
      " |  \n",
      " |  __reduce__(self)\n",
      " |      Helper for pickle.\n",
      " |  \n",
      " |  __repr__(self)\n",
      " |      Return repr(self).\n",
      " |  \n",
      " |  __setstate__(self, state)\n",
      " |  \n",
      " |  async adelete(self, using=None, keep_parents=False)\n",
      " |  \n",
      " |  async arefresh_from_db(self, using=None, fields=None)\n",
      " |  \n",
      " |  async asave(self, force_insert=False, force_update=False, using=None, update_fields=None)\n",
      " |  \n",
      " |  clean_fields(self, exclude=None)\n",
      " |      Clean all fields and raise a ValidationError containing a dict\n",
      " |      of all validation errors if any occur.\n",
      " |  \n",
      " |  date_error_message(self, lookup_type, field_name, unique_for)\n",
      " |  \n",
      " |  delete(self, using=None, keep_parents=False)\n",
      " |  \n",
      " |  full_clean(self, exclude=None, validate_unique=True, validate_constraints=True)\n",
      " |      Call clean_fields(), clean(), validate_unique(), and\n",
      " |      validate_constraints() on the model. Raise a ValidationError for any\n",
      " |      errors that occur.\n",
      " |  \n",
      " |  get_constraints(self)\n",
      " |  \n",
      " |  get_deferred_fields(self)\n",
      " |      Return a set containing names of deferred fields for this instance.\n",
      " |  \n",
      " |  prepare_database_save(self, field)\n",
      " |  \n",
      " |  refresh_from_db(self, using=None, fields=None)\n",
      " |      Reload field values from the database.\n",
      " |      \n",
      " |      By default, the reloading happens from the database this instance was\n",
      " |      loaded from, or by the read router if this instance wasn't loaded from\n",
      " |      any database. The using parameter will override the default.\n",
      " |      \n",
      " |      Fields can be used to specify which fields to reload. The fields\n",
      " |      should be an iterable of field attnames. If fields is None, then\n",
      " |      all non-deferred fields are reloaded.\n",
      " |      \n",
      " |      When accessing deferred fields of an instance, the deferred loading\n",
      " |      of the field will call this method.\n",
      " |  \n",
      " |  save_base(self, raw=False, force_insert=False, force_update=False, using=None, update_fields=None)\n",
      " |      Handle the parts of saving which should be done only once per save,\n",
      " |      yet need to be done in raw saves, too. This includes some sanity\n",
      " |      checks and signal sending.\n",
      " |      \n",
      " |      The 'raw' argument is telling save_base not to save any parent\n",
      " |      models and not to do any changes to the values before save. This\n",
      " |      is used by fixture loading.\n",
      " |  \n",
      " |  serializable_value(self, field_name)\n",
      " |      Return the value of the field name for this instance. If the field is\n",
      " |      a foreign key, return the id value instead of the object. If there's\n",
      " |      no Field object with this name on the model, return the model\n",
      " |      attribute's value.\n",
      " |      \n",
      " |      Used to serialize a field's value (in the serializer, or form output,\n",
      " |      for example). Normally, you would just access the attribute directly\n",
      " |      and not use this method.\n",
      " |  \n",
      " |  unique_error_message(self, model_class, unique_check)\n",
      " |  \n",
      " |  validate_constraints(self, exclude=None)\n",
      " |  \n",
      " |  validate_unique(self, exclude=None)\n",
      " |      Check unique constraints on the model and raise ValidationError if any\n",
      " |      failed.\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Class methods inherited from django.db.models.base.Model:\n",
      " |  \n",
      " |  check(**kwargs) from django.db.models.base.ModelBase\n",
      " |  \n",
      " |  from_db(db, field_names, values) from django.db.models.base.ModelBase\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Data descriptors inherited from django.db.models.base.Model:\n",
      " |  \n",
      " |  pk\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Class methods inherited from django.db.models.utils.AltersData:\n",
      " |  \n",
      " |  __init_subclass__(**kwargs) from django.db.models.base.ModelBase\n",
      " |      This method is called when a class is subclassed.\n",
      " |      \n",
      " |      The default implementation does nothing. It may be\n",
      " |      overridden to extend subclasses.\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Data descriptors inherited from django.db.models.utils.AltersData:\n",
      " |  \n",
      " |  __dict__\n",
      " |      dictionary for instance variables (if defined)\n",
      " |  \n",
      " |  __weakref__\n",
      " |      list of weak references to the object (if defined)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "%run -i '/opt/netbox/netbox/manage.py' 'nbshell' '-c' 'help(IPAddress)'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import ALL DCIM Models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "817"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from dcim.models import *\n",
    "\n",
    "Device.objects.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "224"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Device.objects.exclude(status=\"active\").count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "60"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Device.objects.filter(status=\"active\", role__name=\"minios\").count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "240"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Device.objects.filter(status=\"active\", role__name=\"server\").count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "32"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Device.objects.filter(status=\"active\", role__name=\"Switch-Layer-3\").count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "24"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Device.objects.filter(status=\"active\", role__name=\"Switch-Layer-2\").count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<IPAddress: 10.254.141.210/26>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ip = Device.objects.get(name=\"netdevbox\").interfaces.first().ip_addresses.first()\n",
    "ip"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## get a list of all the property names and method names on an object\n",
    "### includes all the methods inherited from parent classes, and lots of private methods methods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['DoesNotExist',\n",
       " 'Meta',\n",
       " 'MultipleObjectsReturned',\n",
       " '__class__',\n",
       " '__delattr__',\n",
       " '__dict__',\n",
       " '__dir__',\n",
       " '__doc__',\n",
       " '__eq__',\n",
       " '__format__',\n",
       " '__ge__',\n",
       " '__getattribute__',\n",
       " '__getstate__',\n",
       " '__gt__',\n",
       " '__hash__',\n",
       " '__init__',\n",
       " '__init_subclass__',\n",
       " '__le__',\n",
       " '__lt__',\n",
       " '__module__',\n",
       " '__ne__',\n",
       " '__new__',\n",
       " '__reduce__',\n",
       " '__reduce_ex__',\n",
       " '__repr__',\n",
       " '__setattr__',\n",
       " '__setstate__',\n",
       " '__sizeof__',\n",
       " '__str__',\n",
       " '__subclasshook__',\n",
       " '__weakref__',\n",
       " '_check_column_name_clashes',\n",
       " '_check_constraints',\n",
       " '_check_db_table_comment',\n",
       " '_check_default_pk',\n",
       " '_check_field_name_clashes',\n",
       " '_check_fields',\n",
       " '_check_id_field',\n",
       " '_check_index_together',\n",
       " '_check_indexes',\n",
       " '_check_local_fields',\n",
       " '_check_long_column_names',\n",
       " '_check_m2m_through_same_relationship',\n",
       " '_check_managers',\n",
       " '_check_model',\n",
       " '_check_model_name_db_lookup_clashes',\n",
       " '_check_ordering',\n",
       " '_check_property_name_related_field_accessor_clashes',\n",
       " '_check_single_primary_key',\n",
       " '_check_swappable',\n",
       " '_check_unique_together',\n",
       " '_do_insert',\n",
       " '_do_update',\n",
       " '_get_FIELD_display',\n",
       " '_get_expr_references',\n",
       " '_get_field_value_map',\n",
       " '_get_next_or_previous_by_FIELD',\n",
       " '_get_next_or_previous_in_order',\n",
       " '_get_pk_val',\n",
       " '_get_unique_checks',\n",
       " '_meta',\n",
       " '_original_assigned_object_id',\n",
       " '_original_assigned_object_type_id',\n",
       " '_perform_date_checks',\n",
       " '_perform_unique_checks',\n",
       " '_prepare_related_fields_for_save',\n",
       " '_save_parents',\n",
       " '_save_table',\n",
       " '_set_mask_length',\n",
       " '_set_pk_val',\n",
       " '_state',\n",
       " 'address',\n",
       " 'adelete',\n",
       " 'arefresh_from_db',\n",
       " 'asave',\n",
       " 'assigned_object',\n",
       " 'assigned_object_id',\n",
       " 'assigned_object_type',\n",
       " 'assigned_object_type_id',\n",
       " 'bookmarks',\n",
       " 'cf',\n",
       " 'check',\n",
       " 'clean',\n",
       " 'clean_fields',\n",
       " 'clone',\n",
       " 'clone_fields',\n",
       " 'comments',\n",
       " 'created',\n",
       " 'custom_field_data',\n",
       " 'custom_fields',\n",
       " 'date_error_message',\n",
       " 'delete',\n",
       " 'description',\n",
       " 'dns_name',\n",
       " 'docs_url',\n",
       " 'family',\n",
       " 'fhrpgroup',\n",
       " 'from_db',\n",
       " 'full_clean',\n",
       " 'get_absolute_url',\n",
       " 'get_constraints',\n",
       " 'get_custom_fields',\n",
       " 'get_custom_fields_by_group',\n",
       " 'get_deferred_fields',\n",
       " 'get_duplicates',\n",
       " 'get_next_available_ip',\n",
       " 'get_related_ips',\n",
       " 'get_role_color',\n",
       " 'get_role_display',\n",
       " 'get_status_color',\n",
       " 'get_status_display',\n",
       " 'id',\n",
       " 'interface',\n",
       " 'is_oob_ip',\n",
       " 'is_primary_ip',\n",
       " 'journal_entries',\n",
       " 'last_updated',\n",
       " 'mask_length',\n",
       " 'nat_inside',\n",
       " 'nat_inside_id',\n",
       " 'nat_outside',\n",
       " 'netbox_dns_records',\n",
       " 'objects',\n",
       " 'pk',\n",
       " 'populate_custom_field_defaults',\n",
       " 'prepare_database_save',\n",
       " 'refresh_from_db',\n",
       " 'role',\n",
       " 'save',\n",
       " 'save_base',\n",
       " 'serializable_value',\n",
       " 'serialize_object',\n",
       " 'services',\n",
       " 'snapshot',\n",
       " 'status',\n",
       " 'tagged_items',\n",
       " 'tags',\n",
       " 'tenant',\n",
       " 'tenant_id',\n",
       " 'to_objectchange',\n",
       " 'tunnel_terminations',\n",
       " 'unique_error_message',\n",
       " 'validate_constraints',\n",
       " 'validate_unique',\n",
       " 'vminterface',\n",
       " 'vrf',\n",
       " 'vrf_id']"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dir(ip)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ipam.models.ip.IPAddress"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(ip)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6950"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ip.id"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/ipam/ip-addresses/6950/'"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ip.get_absolute_url()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'dhcp'"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ip.status"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ip.is_oob_ip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "IPNetwork('10.254.141.210/26')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ip.address"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "IPAddress('10.254.141.210')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ip.address.ip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'bmc-netdevbox.hwe.ebay.com'"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ip.dns_name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Interface: bmc>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ip.assigned_object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'bmc'"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ip.assigned_object.name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'created': '2022-06-28T12:55:55.583Z',\n",
       " 'last_updated': '2024-01-10T23:30:59.642Z',\n",
       " 'device': 1414,\n",
       " 'name': 'bmc',\n",
       " 'label': '',\n",
       " 'description': 'DHCP Assigned',\n",
       " 'module': None,\n",
       " 'cable': None,\n",
       " 'cable_end': '',\n",
       " 'mark_connected': True,\n",
       " 'enabled': True,\n",
       " 'mac_address': 'AC:1F:6B:A1:E0:92',\n",
       " 'mtu': 9000,\n",
       " 'mode': '',\n",
       " 'parent': None,\n",
       " 'bridge': None,\n",
       " 'lag': None,\n",
       " 'type': '1000base-t',\n",
       " 'mgmt_only': True,\n",
       " 'speed': 1000000,\n",
       " 'duplex': None,\n",
       " 'wwn': None,\n",
       " 'rf_role': '',\n",
       " 'rf_channel': '',\n",
       " 'rf_channel_frequency': None,\n",
       " 'rf_channel_width': None,\n",
       " 'tx_power': None,\n",
       " 'poe_mode': '',\n",
       " 'poe_type': '',\n",
       " 'wireless_link': None,\n",
       " 'untagged_vlan': None,\n",
       " 'vrf': None,\n",
       " 'vdcs': [],\n",
       " 'wireless_lans': [],\n",
       " 'tagged_vlans': [],\n",
       " 'custom_fields': {'lanes': None, 'KEA_Reservation': True},\n",
       " 'tags': []}"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ip.assigned_object.serialize_object()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'netdevbox'"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ip.assigned_object.device.name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'To be filled by O.E.M.'"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ip.assigned_object.device.cf['ebay_sku']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'created': '2021-05-20T00:00:00Z',\n",
       " 'last_updated': '2024-04-01T10:02:37.693Z',\n",
       " 'description': '',\n",
       " 'comments': '### Racked in 102, network from 101',\n",
       " 'local_context_data': None,\n",
       " 'config_template': None,\n",
       " 'device_type': 89,\n",
       " 'role': 16,\n",
       " 'tenant': 39,\n",
       " 'platform': 30,\n",
       " 'name': 'netdevbox',\n",
       " 'serial': 'S375578X9830314D',\n",
       " 'asset_tag': '1000010382',\n",
       " 'site': 4,\n",
       " 'location': None,\n",
       " 'rack': 8,\n",
       " 'position': None,\n",
       " 'face': '',\n",
       " 'status': 'active',\n",
       " 'airflow': '',\n",
       " 'primary_ip4': 6536,\n",
       " 'primary_ip6': None,\n",
       " 'oob_ip': 6950,\n",
       " 'cluster': None,\n",
       " 'virtual_chassis': None,\n",
       " 'vc_position': None,\n",
       " 'vc_priority': None,\n",
       " 'latitude': None,\n",
       " 'longitude': None,\n",
       " 'console_port_count': 0,\n",
       " 'console_server_port_count': 0,\n",
       " 'power_port_count': 0,\n",
       " 'power_outlet_count': 0,\n",
       " 'interface_count': 3,\n",
       " 'front_port_count': 0,\n",
       " 'rear_port_count': 0,\n",
       " 'device_bay_count': 0,\n",
       " 'module_bay_count': 0,\n",
       " 'inventory_item_count': 12,\n",
       " 'custom_fields': {'mfu': None,\n",
       "  'bios': None,\n",
       "  'fpga': None,\n",
       "  'cpld1': None,\n",
       "  'cpld2': None,\n",
       "  'cpld3': None,\n",
       "  'cpld4': None,\n",
       "  'mb_fpga': None,\n",
       "  'cpu_fpga': None,\n",
       "  'ebay_sku': 'To be filled by O.E.M.',\n",
       "  'last_login': '2024-04-01',\n",
       "  'bmc_version': '2.0',\n",
       "  'Hardware_Rev': None,\n",
       "  'bios_version': '2.4.0.0',\n",
       "  'bmc_firmware': '6.15',\n",
       "  'bios_revision': '5.22',\n",
       "  'base_system_mac': None,\n",
       "  'Reserve_Start_Date': '2023-10-31'},\n",
       " 'tags': ['Ubuntu 22.04.3 LTS', 'dont-reprovision']}"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ip.assigned_object.device.serialize_object()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'created': '2021-04-01T00:00:00Z',\n",
       " 'last_updated': '2021-05-19T20:58:04.942Z',\n",
       " 'description': '',\n",
       " 'comments': '',\n",
       " 'weight': None,\n",
       " 'weight_unit': '',\n",
       " 'manufacturer': 16,\n",
       " 'model': 'AS-2014TP-HTR',\n",
       " 'slug': 'as-2014tp-htr',\n",
       " 'default_platform': None,\n",
       " 'part_number': 'H12SST-PS',\n",
       " 'u_height': '0.0',\n",
       " 'exclude_from_utilization': False,\n",
       " 'is_full_depth': True,\n",
       " 'subdevice_role': 'child',\n",
       " 'airflow': '',\n",
       " 'front_image': '',\n",
       " 'rear_image': '',\n",
       " 'console_port_template_count': 0,\n",
       " 'console_server_port_template_count': 0,\n",
       " 'power_port_template_count': 0,\n",
       " 'power_outlet_template_count': 0,\n",
       " 'interface_template_count': 2,\n",
       " 'front_port_template_count': 0,\n",
       " 'rear_port_template_count': 0,\n",
       " 'device_bay_template_count': 0,\n",
       " 'module_bay_template_count': 0,\n",
       " 'inventory_item_template_count': 0,\n",
       " 'custom_fields': {'ebay_sku': ''},\n",
       " 'tags': []}"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ip.assigned_object.device.device_type.serialize_object()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dcim.models.devices.DeviceType"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DeviceType"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['DoesNotExist',\n",
       " 'Meta',\n",
       " 'MultipleObjectsReturned',\n",
       " '__class__',\n",
       " '__delattr__',\n",
       " '__dict__',\n",
       " '__dir__',\n",
       " '__doc__',\n",
       " '__eq__',\n",
       " '__format__',\n",
       " '__ge__',\n",
       " '__getattribute__',\n",
       " '__getstate__',\n",
       " '__gt__',\n",
       " '__hash__',\n",
       " '__init__',\n",
       " '__init_subclass__',\n",
       " '__le__',\n",
       " '__lt__',\n",
       " '__module__',\n",
       " '__ne__',\n",
       " '__new__',\n",
       " '__reduce__',\n",
       " '__reduce_ex__',\n",
       " '__repr__',\n",
       " '__setattr__',\n",
       " '__setstate__',\n",
       " '__sizeof__',\n",
       " '__str__',\n",
       " '__subclasshook__',\n",
       " '__weakref__',\n",
       " '_abs_weight',\n",
       " '_check_column_name_clashes',\n",
       " '_check_constraints',\n",
       " '_check_db_table_comment',\n",
       " '_check_default_pk',\n",
       " '_check_field_name_clashes',\n",
       " '_check_fields',\n",
       " '_check_id_field',\n",
       " '_check_index_together',\n",
       " '_check_indexes',\n",
       " '_check_local_fields',\n",
       " '_check_long_column_names',\n",
       " '_check_m2m_through_same_relationship',\n",
       " '_check_managers',\n",
       " '_check_model',\n",
       " '_check_model_name_db_lookup_clashes',\n",
       " '_check_ordering',\n",
       " '_check_property_name_related_field_accessor_clashes',\n",
       " '_check_single_primary_key',\n",
       " '_check_swappable',\n",
       " '_check_unique_together',\n",
       " '_do_insert',\n",
       " '_do_update',\n",
       " '_get_FIELD_display',\n",
       " '_get_expr_references',\n",
       " '_get_field_value_map',\n",
       " '_get_next_or_previous_by_FIELD',\n",
       " '_get_next_or_previous_in_order',\n",
       " '_get_pk_val',\n",
       " '_get_unique_checks',\n",
       " '_meta',\n",
       " '_perform_date_checks',\n",
       " '_perform_unique_checks',\n",
       " '_prepare_related_fields_for_save',\n",
       " '_save_parents',\n",
       " '_save_table',\n",
       " '_set_pk_val',\n",
       " 'adelete',\n",
       " 'airflow',\n",
       " 'arefresh_from_db',\n",
       " 'asave',\n",
       " 'bookmarks',\n",
       " 'cf',\n",
       " 'check',\n",
       " 'clean',\n",
       " 'clean_fields',\n",
       " 'clone',\n",
       " 'clone_fields',\n",
       " 'comments',\n",
       " 'console_port_template_count',\n",
       " 'console_server_port_template_count',\n",
       " 'consoleporttemplates',\n",
       " 'consoleserverporttemplates',\n",
       " 'created',\n",
       " 'custom_field_data',\n",
       " 'custom_fields',\n",
       " 'date_error_message',\n",
       " 'default_platform',\n",
       " 'default_platform_id',\n",
       " 'delete',\n",
       " 'description',\n",
       " 'device_bay_template_count',\n",
       " 'devicebaytemplates',\n",
       " 'docs_url',\n",
       " 'exclude_from_utilization',\n",
       " 'from_db',\n",
       " 'front_image',\n",
       " 'front_port_template_count',\n",
       " 'frontporttemplates',\n",
       " 'full_clean',\n",
       " 'get_absolute_url',\n",
       " 'get_airflow_display',\n",
       " 'get_constraints',\n",
       " 'get_custom_fields',\n",
       " 'get_custom_fields_by_group',\n",
       " 'get_deferred_fields',\n",
       " 'get_full_name',\n",
       " 'get_subdevice_role_display',\n",
       " 'get_weight_unit_display',\n",
       " 'id',\n",
       " 'images',\n",
       " 'instances',\n",
       " 'interface_template_count',\n",
       " 'interfacetemplates',\n",
       " 'inventory_item_template_count',\n",
       " 'inventoryitemtemplates',\n",
       " 'is_child_device',\n",
       " 'is_full_depth',\n",
       " 'is_parent_device',\n",
       " 'journal_entries',\n",
       " 'last_updated',\n",
       " 'manufacturer',\n",
       " 'manufacturer_id',\n",
       " 'model',\n",
       " 'module_bay_template_count',\n",
       " 'modulebaytemplates',\n",
       " 'objects',\n",
       " 'part_number',\n",
       " 'pk',\n",
       " 'populate_custom_field_defaults',\n",
       " 'power_outlet_template_count',\n",
       " 'power_port_template_count',\n",
       " 'poweroutlettemplates',\n",
       " 'powerporttemplates',\n",
       " 'prepare_database_save',\n",
       " 'prerequisite_models',\n",
       " 'rear_image',\n",
       " 'rear_port_template_count',\n",
       " 'rearporttemplates',\n",
       " 'refresh_from_db',\n",
       " 'save',\n",
       " 'save_base',\n",
       " 'serializable_value',\n",
       " 'serialize_object',\n",
       " 'slug',\n",
       " 'snapshot',\n",
       " 'subdevice_role',\n",
       " 'tagged_items',\n",
       " 'tags',\n",
       " 'to_objectchange',\n",
       " 'to_yaml',\n",
       " 'u_height',\n",
       " 'unique_error_message',\n",
       " 'validate_constraints',\n",
       " 'validate_unique',\n",
       " 'weight',\n",
       " 'weight_unit']"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dir(DeviceType)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rename certain filters to be consistent\n",
    "\n",
    "https://github.com/netbox-community/netbox/issues/15410"
   ]
  },
  {
   "attachments": {
    "Screenshot%202024-03-29%20at%2016.48.06.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Screenshot%202024-03-29%20at%2016.48.06.png](attachment:Screenshot%202024-03-29%20at%2016.48.06.png)"
   ]
  },
  {
   "attachments": {
    "Screenshot%202024-03-29%20at%2016.52.22.png": {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "https://github.com/netbox-community/netbox/blob/d2fee886001e4abbcb1b4d9ed3fd32521c820be9/netbox/dcim/filtersets.py#L642C5-L646\n",
    "\n",
    "![Screenshot%202024-03-29%20at%2016.52.22.png](attachment:Screenshot%202024-03-29%20at%2016.52.22.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# ip.assigned_object = interface\n",
    "# will set --> assigned_object_type --> assigned_object_id automatically"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<RestrictedQuerySet [<IPAddress: 10.254.141.193/26>, <IPAddress: 10.254.141.194/26>, <IPAddress: 10.254.141.195/26>, <IPAddress: 10.254.141.196/26>, <IPAddress: 10.254.141.197/26>, <IPAddress: 10.254.141.198/26>, <IPAddress: 10.254.141.199/26>, <IPAddress: 10.254.141.200/26>, <IPAddress: 10.254.141.201/26>, <IPAddress: 10.254.141.202/26>, <IPAddress: 10.254.141.203/26>, <IPAddress: 10.254.141.204/26>, <IPAddress: 10.254.141.205/26>, <IPAddress: 10.254.141.206/26>, <IPAddress: 10.254.141.207/26>, <IPAddress: 10.254.141.208/26>, <IPAddress: 10.254.141.209/26>, <IPAddress: 10.254.141.211/26>, <IPAddress: 10.254.141.212/26>, <IPAddress: 10.254.141.213/26>, '...(remaining elements truncated)...']>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ip.get_related_ips()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Help for the Device Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on class Device in module dcim.models.devices:\n",
      "\n",
      "class Device(netbox.models.features.ContactsMixin, netbox.models.features.ImageAttachmentsMixin, dcim.models.mixins.RenderConfigMixin, extras.models.configs.ConfigContextModel, utilities.tracking.TrackingModelMixin, netbox.models.PrimaryModel)\n",
      " |  Device(*args, **kwargs)\n",
      " |  \n",
      " |  A Device represents a piece of physical hardware mounted within a Rack. Each Device is assigned a DeviceType,\n",
      " |  DeviceRole, and (optionally) a Platform. Device names are not required, however if one is set it must be unique.\n",
      " |  \n",
      " |  Each Device must be assigned to a site, and optionally to a rack within that site. Associating a device with a\n",
      " |  particular rack face or unit is optional (for example, vertically mounted PDUs do not consume rack units).\n",
      " |  \n",
      " |  When a new Device is created, console/power/interface/device bay components are created along with it as dictated\n",
      " |  by the component templates assigned to its DeviceType. Components can also be added, modified, or deleted after the\n",
      " |  creation of a Device.\n",
      " |  \n",
      " |  Method resolution order:\n",
      " |      Device\n",
      " |      netbox.models.features.ContactsMixin\n",
      " |      netbox.models.features.ImageAttachmentsMixin\n",
      " |      dcim.models.mixins.RenderConfigMixin\n",
      " |      extras.models.configs.ConfigContextModel\n",
      " |      utilities.tracking.TrackingModelMixin\n",
      " |      netbox.models.PrimaryModel\n",
      " |      netbox.models.NetBoxModel\n",
      " |      netbox.models.NetBoxFeatureSet\n",
      " |      netbox.models.features.BookmarksMixin\n",
      " |      netbox.models.features.ChangeLoggingMixin\n",
      " |      netbox.models.features.CloningMixin\n",
      " |      netbox.models.features.CustomFieldsMixin\n",
      " |      netbox.models.features.CustomLinksMixin\n",
      " |      netbox.models.features.CustomValidationMixin\n",
      " |      netbox.models.features.ExportTemplatesMixin\n",
      " |      netbox.models.features.JournalingMixin\n",
      " |      netbox.models.features.TagsMixin\n",
      " |      netbox.models.features.EventRulesMixin\n",
      " |      django.db.models.base.Model\n",
      " |      django.db.models.utils.AltersData\n",
      " |      builtins.object\n",
      " |  \n",
      " |  Methods defined here:\n",
      " |  \n",
      " |  __str__(self)\n",
      " |      Return str(self).\n",
      " |  \n",
      " |  airflow = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  asset_tag = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  clean(self)\n",
      " |      Hook for doing any extra model-wide validation after clean() has been\n",
      " |      called on every field by self.clean_fields. Any ValidationError raised\n",
      " |      by this method will not be associated with a particular field; it will\n",
      " |      have a special-case association with the field defined by NON_FIELD_ERRORS.\n",
      " |  \n",
      " |  comments = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  console_port_count = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  console_server_port_count = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  created = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  custom_field_data = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  description = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  device_bay_count = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  face = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  front_port_count = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  get_absolute_url(self)\n",
      " |  \n",
      " |  get_airflow_display = _method(self, *, field=<django.db.models.fields.CharField: airflow>)\n",
      " |  \n",
      " |  get_cables(self, pk_list=False)\n",
      " |      Return a QuerySet or PK list matching all Cables connected to a component of this Device.\n",
      " |  \n",
      " |  get_children(self)\n",
      " |      Return the set of child Devices installed in DeviceBays within this Device.\n",
      " |  \n",
      " |  get_face_display = _method(self, *, field=<django.db.models.fields.CharField: face>)\n",
      " |  \n",
      " |  get_status_color(self)\n",
      " |  \n",
      " |  get_status_display = _method(self, *, field=<django.db.models.fields.CharField: status>)\n",
      " |  \n",
      " |  get_vc_master(self)\n",
      " |      If this Device is a VirtualChassis member, return the VC master. Otherwise, return None.\n",
      " |  \n",
      " |  id = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  interface_count = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  inventory_item_count = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  last_updated = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  latitude = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  local_context_data = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  longitude = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  module_bay_count = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  name = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  position = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  power_outlet_count = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  power_port_count = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  rear_port_count = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  save(self, *args, **kwargs)\n",
      " |      Save the current instance. Override this in a subclass if you want to\n",
      " |      control the saving process.\n",
      " |      \n",
      " |      The 'force_insert' and 'force_update' parameters can be used to insist\n",
      " |      that the \"save\" must be an SQL insert or update (or equivalent for\n",
      " |      non-SQL backends), respectively. Normally, they should not be set.\n",
      " |  \n",
      " |  serial = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  status = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  total_weight = <functools.cached_property object>\n",
      " |  vc_interfaces(self, if_master=True)\n",
      " |      Return a QuerySet matching all Interfaces assigned to this Device or, if this Device is a VC master, to another\n",
      " |      Device belonging to the same VirtualChassis.\n",
      " |      \n",
      " |      :param if_master: If True, return VC member interfaces only if this Device is the VC master.\n",
      " |  \n",
      " |  vc_position = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  vc_priority = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  ----------------------------------------------------------------------\n",
      " |  Readonly properties defined here:\n",
      " |  \n",
      " |  identifier\n",
      " |      Return the device name if set; otherwise return the Device's primary key as {pk}\n",
      " |  \n",
      " |  interfaces_count\n",
      " |  \n",
      " |  primary_ip\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Data descriptors defined here:\n",
      " |  \n",
      " |  bookmarks\n",
      " |  \n",
      " |  cabletermination_set\n",
      " |  \n",
      " |  cluster\n",
      " |  \n",
      " |  cluster_id\n",
      " |  \n",
      " |  config_template\n",
      " |  \n",
      " |  config_template_id\n",
      " |  \n",
      " |  consoleports\n",
      " |  \n",
      " |  consoleserverports\n",
      " |  \n",
      " |  contacts\n",
      " |  \n",
      " |  coordinate_set\n",
      " |  \n",
      " |  device_role\n",
      " |      For backwards compatibility with pre-v3.6 code expecting a device_role to be present on Device.\n",
      " |  \n",
      " |  device_type\n",
      " |  \n",
      " |  device_type_id\n",
      " |  \n",
      " |  devicebays\n",
      " |  \n",
      " |  frontports\n",
      " |  \n",
      " |  images\n",
      " |  \n",
      " |  interfaces\n",
      " |  \n",
      " |  inventoryitems\n",
      " |  \n",
      " |  journal_entries\n",
      " |  \n",
      " |  location\n",
      " |  \n",
      " |  location_id\n",
      " |  \n",
      " |  modulebays\n",
      " |  \n",
      " |  modules\n",
      " |  \n",
      " |  oob_ip\n",
      " |  \n",
      " |  oob_ip_id\n",
      " |  \n",
      " |  parent_bay\n",
      " |  \n",
      " |  platform\n",
      " |  \n",
      " |  platform_id\n",
      " |  \n",
      " |  poweroutlets\n",
      " |  \n",
      " |  powerports\n",
      " |  \n",
      " |  primary_ip4\n",
      " |  \n",
      " |  primary_ip4_id\n",
      " |  \n",
      " |  primary_ip6\n",
      " |  \n",
      " |  primary_ip6_id\n",
      " |  \n",
      " |  rack\n",
      " |  \n",
      " |  rack_id\n",
      " |  \n",
      " |  rearports\n",
      " |  \n",
      " |  role\n",
      " |  \n",
      " |  role_id\n",
      " |  \n",
      " |  services\n",
      " |  \n",
      " |  site\n",
      " |  \n",
      " |  site_id\n",
      " |  \n",
      " |  tagged_items\n",
      " |  \n",
      " |  tenant\n",
      " |  \n",
      " |  tenant_id\n",
      " |  \n",
      " |  vc_master_for\n",
      " |  \n",
      " |  vdcs\n",
      " |  \n",
      " |  virtual_chassis\n",
      " |  \n",
      " |  virtual_chassis_id\n",
      " |  \n",
      " |  virtual_machines\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Data and other attributes defined here:\n",
      " |  \n",
      " |  DoesNotExist = <class 'dcim.models.devices.Device.DoesNotExist'>\n",
      " |  \n",
      " |  MultipleObjectsReturned = <class 'dcim.models.devices.Device.MultipleO...\n",
      " |  \n",
      " |  clone_fields = ('device_type', 'role', 'tenant', 'platform', 'site', '...\n",
      " |  \n",
      " |  objects = <django.db.models.manager.ManagerFromConfigContextModelQuery...\n",
      " |  \n",
      " |  prerequisite_models = ('dcim.Site', 'dcim.DeviceRole', 'dcim.DeviceTyp...\n",
      " |  \n",
      " |  tags = <taggit.managers._TaggableManager object>\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Data and other attributes inherited from netbox.models.features.ContactsMixin:\n",
      " |  \n",
      " |  Meta = <class 'netbox.models.features.ContactsMixin.Meta'>\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Methods inherited from dcim.models.mixins.RenderConfigMixin:\n",
      " |  \n",
      " |  get_config_template(self)\n",
      " |      Return the appropriate ConfigTemplate (if any) for this Device.\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Methods inherited from extras.models.configs.ConfigContextModel:\n",
      " |  \n",
      " |  get_config_context(self)\n",
      " |      Compile all config data, overwriting lower-weight values with higher-weight values where a collision occurs.\n",
      " |      Return the rendered configuration context for a device or VM.\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Methods inherited from utilities.tracking.TrackingModelMixin:\n",
      " |  \n",
      " |  __init__(self, *args, **kwargs)\n",
      " |      Initialize self.  See help(type(self)) for accurate signature.\n",
      " |  \n",
      " |  __setattr__(self, name, value)\n",
      " |      Implement setattr(self, name, value).\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Readonly properties inherited from utilities.tracking.TrackingModelMixin:\n",
      " |  \n",
      " |  tracker\n",
      " |      Return the Tracker instance for this instance, first creating it if necessary.\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Data descriptors inherited from utilities.tracking.TrackingModelMixin:\n",
      " |  \n",
      " |  __dict__\n",
      " |      dictionary for instance variables (if defined)\n",
      " |  \n",
      " |  __weakref__\n",
      " |      list of weak references to the object (if defined)\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Readonly properties inherited from netbox.models.NetBoxFeatureSet:\n",
      " |  \n",
      " |  docs_url\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Methods inherited from netbox.models.features.ChangeLoggingMixin:\n",
      " |  \n",
      " |  serialize_object(self, exclude=None)\n",
      " |      Return a JSON representation of the instance. Models can override this method to replace or extend the default\n",
      " |      serialization logic provided by the `serialize_object()` utility function.\n",
      " |      \n",
      " |      Args:\n",
      " |          exclude: An iterable of attribute names to omit from the serialized output\n",
      " |  \n",
      " |  snapshot(self)\n",
      " |      Save a snapshot of the object's current state in preparation for modification. The snapshot is saved as\n",
      " |      `_prechange_snapshot` on the instance.\n",
      " |  \n",
      " |  to_objectchange(self, action)\n",
      " |      Return a new ObjectChange representing a change made to this object. This will typically be called automatically\n",
      " |      by ChangeLoggingMiddleware.\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Methods inherited from netbox.models.features.CloningMixin:\n",
      " |  \n",
      " |  clone(self)\n",
      " |      Returns a dictionary of attributes suitable for creating a copy of the current instance. This is used for pre-\n",
      " |      populating an object creation form in the UI. By default, this method will replicate any fields listed in the\n",
      " |      model's `clone_fields` list (if defined), but it can be overridden to apply custom logic.\n",
      " |      \n",
      " |      ```python\n",
      " |      class MyModel(NetBoxModel):\n",
      " |          def clone(self):\n",
      " |              attrs = super().clone()\n",
      " |              attrs['extra-value'] = 123\n",
      " |              return attrs\n",
      " |      ```\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Methods inherited from netbox.models.features.CustomFieldsMixin:\n",
      " |  \n",
      " |  cf = <functools.cached_property object>\n",
      " |      Return a dictionary mapping each custom field for this instance to its deserialized value.\n",
      " |      \n",
      " |      ```python\n",
      " |      >>> tenant = Tenant.objects.first()\n",
      " |      >>> tenant.cf\n",
      " |      {'primary_site': <Site: DM-NYC>, 'cust_id': 'DMI01', 'is_active': True}\n",
      " |      ```\n",
      " |  \n",
      " |  custom_fields = <functools.cached_property object>\n",
      " |      Return the QuerySet of CustomFields assigned to this model.\n",
      " |      \n",
      " |      ```python\n",
      " |      >>> tenant = Tenant.objects.first()\n",
      " |      >>> tenant.custom_fields\n",
      " |      <RestrictedQuerySet [<CustomField: Primary site>, <CustomField: Customer ID>, <CustomField: Is active>]>\n",
      " |      ```\n",
      " |  \n",
      " |  get_custom_fields(self, omit_hidden=False)\n",
      " |      Return a dictionary of custom fields for a single object in the form `{field: value}`.\n",
      " |      \n",
      " |      ```python\n",
      " |      >>> tenant = Tenant.objects.first()\n",
      " |      >>> tenant.get_custom_fields()\n",
      " |      {<CustomField: Customer ID>: 'CYB01'}\n",
      " |      ```\n",
      " |      \n",
      " |      Args:\n",
      " |          omit_hidden: If True, custom fields with no UI visibility will be omitted.\n",
      " |  \n",
      " |  get_custom_fields_by_group(self)\n",
      " |      Return a dictionary of custom field/value mappings organized by group. Hidden fields are omitted.\n",
      " |      \n",
      " |      ```python\n",
      " |      >>> tenant = Tenant.objects.first()\n",
      " |      >>> tenant.get_custom_fields_by_group()\n",
      " |      {\n",
      " |          '': {<CustomField: Primary site>: <Site: DM-NYC>},\n",
      " |          'Billing': {<CustomField: Customer ID>: 'DMI01', <CustomField: Is active>: True}\n",
      " |      }\n",
      " |      ```\n",
      " |  \n",
      " |  populate_custom_field_defaults(self)\n",
      " |      Apply the default value for each custom field\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Methods inherited from django.db.models.base.Model:\n",
      " |  \n",
      " |  __eq__(self, other)\n",
      " |      Return self==value.\n",
      " |  \n",
      " |  __getstate__(self)\n",
      " |      Hook to allow choosing the attributes to pickle.\n",
      " |  \n",
      " |  __hash__(self)\n",
      " |      Return hash(self).\n",
      " |  \n",
      " |  __reduce__(self)\n",
      " |      Helper for pickle.\n",
      " |  \n",
      " |  __repr__(self)\n",
      " |      Return repr(self).\n",
      " |  \n",
      " |  __setstate__(self, state)\n",
      " |  \n",
      " |  async adelete(self, using=None, keep_parents=False)\n",
      " |  \n",
      " |  async arefresh_from_db(self, using=None, fields=None)\n",
      " |  \n",
      " |  async asave(self, force_insert=False, force_update=False, using=None, update_fields=None)\n",
      " |  \n",
      " |  clean_fields(self, exclude=None)\n",
      " |      Clean all fields and raise a ValidationError containing a dict\n",
      " |      of all validation errors if any occur.\n",
      " |  \n",
      " |  date_error_message(self, lookup_type, field_name, unique_for)\n",
      " |  \n",
      " |  delete(self, using=None, keep_parents=False)\n",
      " |  \n",
      " |  full_clean(self, exclude=None, validate_unique=True, validate_constraints=True)\n",
      " |      Call clean_fields(), clean(), validate_unique(), and\n",
      " |      validate_constraints() on the model. Raise a ValidationError for any\n",
      " |      errors that occur.\n",
      " |  \n",
      " |  get_constraints(self)\n",
      " |  \n",
      " |  get_deferred_fields(self)\n",
      " |      Return a set containing names of deferred fields for this instance.\n",
      " |  \n",
      " |  prepare_database_save(self, field)\n",
      " |  \n",
      " |  refresh_from_db(self, using=None, fields=None)\n",
      " |      Reload field values from the database.\n",
      " |      \n",
      " |      By default, the reloading happens from the database this instance was\n",
      " |      loaded from, or by the read router if this instance wasn't loaded from\n",
      " |      any database. The using parameter will override the default.\n",
      " |      \n",
      " |      Fields can be used to specify which fields to reload. The fields\n",
      " |      should be an iterable of field attnames. If fields is None, then\n",
      " |      all non-deferred fields are reloaded.\n",
      " |      \n",
      " |      When accessing deferred fields of an instance, the deferred loading\n",
      " |      of the field will call this method.\n",
      " |  \n",
      " |  save_base(self, raw=False, force_insert=False, force_update=False, using=None, update_fields=None)\n",
      " |      Handle the parts of saving which should be done only once per save,\n",
      " |      yet need to be done in raw saves, too. This includes some sanity\n",
      " |      checks and signal sending.\n",
      " |      \n",
      " |      The 'raw' argument is telling save_base not to save any parent\n",
      " |      models and not to do any changes to the values before save. This\n",
      " |      is used by fixture loading.\n",
      " |  \n",
      " |  serializable_value(self, field_name)\n",
      " |      Return the value of the field name for this instance. If the field is\n",
      " |      a foreign key, return the id value instead of the object. If there's\n",
      " |      no Field object with this name on the model, return the model\n",
      " |      attribute's value.\n",
      " |      \n",
      " |      Used to serialize a field's value (in the serializer, or form output,\n",
      " |      for example). Normally, you would just access the attribute directly\n",
      " |      and not use this method.\n",
      " |  \n",
      " |  unique_error_message(self, model_class, unique_check)\n",
      " |  \n",
      " |  validate_constraints(self, exclude=None)\n",
      " |  \n",
      " |  validate_unique(self, exclude=None)\n",
      " |      Check unique constraints on the model and raise ValidationError if any\n",
      " |      failed.\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Class methods inherited from django.db.models.base.Model:\n",
      " |  \n",
      " |  check(**kwargs) from django.db.models.base.ModelBase\n",
      " |  \n",
      " |  from_db(db, field_names, values) from django.db.models.base.ModelBase\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Data descriptors inherited from django.db.models.base.Model:\n",
      " |  \n",
      " |  pk\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Class methods inherited from django.db.models.utils.AltersData:\n",
      " |  \n",
      " |  __init_subclass__(**kwargs) from django.db.models.base.ModelBase\n",
      " |      This method is called when a class is subclassed.\n",
      " |      \n",
      " |      The default implementation does nothing. It may be\n",
      " |      overridden to extend subclasses.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "%run -i '/opt/netbox/netbox/manage.py' 'nbshell' '-c' 'help(Device)'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<IPAddress: 10.254.141.5/26>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nb_device = Device.objects.get(name=\"netdevbox\")\n",
    "nb_device.primary_ip4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "IPNetwork('10.254.141.5/26')"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nb_device.primary_ip4.address"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "IPAddress('10.254.141.5')"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nb_device.primary_ip4.address.ip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'created': '2021-05-20T00:00:00Z',\n",
       " 'last_updated': '2024-04-01T10:02:37.693Z',\n",
       " 'description': '',\n",
       " 'comments': '### Racked in 102, network from 101',\n",
       " 'local_context_data': None,\n",
       " 'config_template': None,\n",
       " 'device_type': 89,\n",
       " 'role': 16,\n",
       " 'tenant': 39,\n",
       " 'platform': 30,\n",
       " 'name': 'netdevbox',\n",
       " 'serial': 'S375578X9830314D',\n",
       " 'asset_tag': '1000010382',\n",
       " 'site': 4,\n",
       " 'location': None,\n",
       " 'rack': 8,\n",
       " 'position': None,\n",
       " 'face': '',\n",
       " 'status': 'active',\n",
       " 'airflow': '',\n",
       " 'primary_ip4': 6536,\n",
       " 'primary_ip6': None,\n",
       " 'oob_ip': 6950,\n",
       " 'cluster': None,\n",
       " 'virtual_chassis': None,\n",
       " 'vc_position': None,\n",
       " 'vc_priority': None,\n",
       " 'latitude': None,\n",
       " 'longitude': None,\n",
       " 'console_port_count': 0,\n",
       " 'console_server_port_count': 0,\n",
       " 'power_port_count': 0,\n",
       " 'power_outlet_count': 0,\n",
       " 'interface_count': 3,\n",
       " 'front_port_count': 0,\n",
       " 'rear_port_count': 0,\n",
       " 'device_bay_count': 0,\n",
       " 'module_bay_count': 0,\n",
       " 'inventory_item_count': 12,\n",
       " 'custom_fields': {'mfu': None,\n",
       "  'bios': None,\n",
       "  'fpga': None,\n",
       "  'cpld1': None,\n",
       "  'cpld2': None,\n",
       "  'cpld3': None,\n",
       "  'cpld4': None,\n",
       "  'mb_fpga': None,\n",
       "  'cpu_fpga': None,\n",
       "  'ebay_sku': 'To be filled by O.E.M.',\n",
       "  'last_login': '2024-04-01',\n",
       "  'bmc_version': '2.0',\n",
       "  'Hardware_Rev': None,\n",
       "  'bios_version': '2.4.0.0',\n",
       "  'bmc_firmware': '6.15',\n",
       "  'bios_revision': '5.22',\n",
       "  'base_system_mac': None,\n",
       "  'Reserve_Start_Date': '2023-10-31'},\n",
       " 'tags': ['Ubuntu 22.04.3 LTS', 'dont-reprovision']}"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nb_device.serialize_object()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "nb_device.local_context_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'snmp': ['hweng'],\n",
       " 'dhcp_relay': ['10.254.141.17'],\n",
       " 'dns_servers': ['10.254.141.10', '10.254.141.131'],\n",
       " 'ntp_servers': ['10.245.141.17', '10.254.141.10'],\n",
       " 'dns_forwarders': ['10.254.58.54', '10.254.58.55'],\n",
       " 'nms_server': ['10.76.183.10', '10.76.183.11'],\n",
       " 'device': <Device: netdevbox (1000010382)>}"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "context_data = nb_device.get_config_context()\n",
    "context_data.update({ 'device': nb_device})\n",
    "context_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "from extras.models import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<ConfigContext: Management ASN>,\n",
       " <ConfigContext: 1105A ASN>,\n",
       " <ConfigContext: 1105B ASN>,\n",
       " <ConfigContext: 1131 ASN>,\n",
       " <ConfigContext: 1133 ASN>,\n",
       " <ConfigContext: infra_support>,\n",
       " <ConfigContext: nms>,\n",
       " <ConfigContext: pdu_cycle_snmp>,\n",
       " <ConfigContext: SPINE ASN>]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nb_device_config_context = ConfigContext.objects.all()\n",
    "list(nb_device_config_context)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'snmp': ['hweng'],\n",
       " 'dhcp_relay': ['10.254.141.17'],\n",
       " 'dns_servers': ['10.254.141.10', '10.254.141.131'],\n",
       " 'ntp_servers': ['10.245.141.17', '10.254.141.10'],\n",
       " 'dns_forwarders': ['10.254.58.54', '10.254.58.55']}"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nb_device_config_context = ConfigContext.objects.get(name=\"infra_support\")\n",
    "nb_device_config_context.data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'created': '2021-05-20T00:00:00Z',\n",
       " 'last_updated': '2024-04-01T10:02:37.693Z',\n",
       " 'description': '',\n",
       " 'comments': '### Racked in 102, network from 101',\n",
       " 'local_context_data': None,\n",
       " 'config_template': None,\n",
       " 'device_type': 89,\n",
       " 'role': 16,\n",
       " 'tenant': 39,\n",
       " 'platform': 30,\n",
       " 'name': 'netdevbox',\n",
       " 'serial': 'S375578X9830314D',\n",
       " 'asset_tag': '1000010382',\n",
       " 'site': 4,\n",
       " 'location': None,\n",
       " 'rack': 8,\n",
       " 'position': None,\n",
       " 'face': '',\n",
       " 'status': 'active',\n",
       " 'airflow': '',\n",
       " 'primary_ip4': 6536,\n",
       " 'primary_ip6': None,\n",
       " 'oob_ip': 6950,\n",
       " 'cluster': None,\n",
       " 'virtual_chassis': None,\n",
       " 'vc_position': None,\n",
       " 'vc_priority': None,\n",
       " 'latitude': None,\n",
       " 'longitude': None,\n",
       " 'console_port_count': 0,\n",
       " 'console_server_port_count': 0,\n",
       " 'power_port_count': 0,\n",
       " 'power_outlet_count': 0,\n",
       " 'interface_count': 3,\n",
       " 'front_port_count': 0,\n",
       " 'rear_port_count': 0,\n",
       " 'device_bay_count': 0,\n",
       " 'module_bay_count': 0,\n",
       " 'inventory_item_count': 12,\n",
       " 'custom_fields': {'mfu': None,\n",
       "  'bios': None,\n",
       "  'fpga': None,\n",
       "  'cpld1': None,\n",
       "  'cpld2': None,\n",
       "  'cpld3': None,\n",
       "  'cpld4': None,\n",
       "  'mb_fpga': None,\n",
       "  'cpu_fpga': None,\n",
       "  'ebay_sku': 'To be filled by O.E.M.',\n",
       "  'last_login': '2024-04-01',\n",
       "  'bmc_version': '2.0',\n",
       "  'Hardware_Rev': None,\n",
       "  'bios_version': '2.4.0.0',\n",
       "  'bmc_firmware': '6.15',\n",
       "  'bios_revision': '5.22',\n",
       "  'base_system_mac': None,\n",
       "  'Reserve_Start_Date': '2023-10-31'},\n",
       " 'tags': ['Ubuntu 22.04.3 LTS', 'dont-reprovision']}"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nb_device.serialize_object()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'bmc'"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nb_interfaces = nb_device.interfaces.first()\n",
    "nb_interfaces.name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['DoesNotExist',\n",
       " 'Meta',\n",
       " 'MultipleObjectsReturned',\n",
       " '__class__',\n",
       " '__delattr__',\n",
       " '__dict__',\n",
       " '__dir__',\n",
       " '__doc__',\n",
       " '__eq__',\n",
       " '__format__',\n",
       " '__ge__',\n",
       " '__getattribute__',\n",
       " '__getstate__',\n",
       " '__gt__',\n",
       " '__hash__',\n",
       " '__init__',\n",
       " '__init_subclass__',\n",
       " '__le__',\n",
       " '__lt__',\n",
       " '__module__',\n",
       " '__ne__',\n",
       " '__new__',\n",
       " '__reduce__',\n",
       " '__reduce_ex__',\n",
       " '__repr__',\n",
       " '__setattr__',\n",
       " '__setstate__',\n",
       " '__sizeof__',\n",
       " '__str__',\n",
       " '__subclasshook__',\n",
       " '__weakref__',\n",
       " '_check_column_name_clashes',\n",
       " '_check_constraints',\n",
       " '_check_db_table_comment',\n",
       " '_check_default_pk',\n",
       " '_check_field_name_clashes',\n",
       " '_check_fields',\n",
       " '_check_id_field',\n",
       " '_check_index_together',\n",
       " '_check_indexes',\n",
       " '_check_local_fields',\n",
       " '_check_long_column_names',\n",
       " '_check_m2m_through_same_relationship',\n",
       " '_check_managers',\n",
       " '_check_model',\n",
       " '_check_model_name_db_lookup_clashes',\n",
       " '_check_ordering',\n",
       " '_check_property_name_related_field_accessor_clashes',\n",
       " '_check_single_primary_key',\n",
       " '_check_swappable',\n",
       " '_check_unique_together',\n",
       " '_do_insert',\n",
       " '_do_update',\n",
       " '_get_FIELD_display',\n",
       " '_get_expr_references',\n",
       " '_get_field_value_map',\n",
       " '_get_next_or_previous_by_FIELD',\n",
       " '_get_next_or_previous_in_order',\n",
       " '_get_pk_val',\n",
       " '_get_unique_checks',\n",
       " '_initialized',\n",
       " '_meta',\n",
       " '_name',\n",
       " '_occupied',\n",
       " '_original_device',\n",
       " '_path',\n",
       " '_path_id',\n",
       " '_perform_date_checks',\n",
       " '_perform_unique_checks',\n",
       " '_prepare_related_fields_for_save',\n",
       " '_save_parents',\n",
       " '_save_table',\n",
       " '_set_pk_val',\n",
       " '_state',\n",
       " 'adelete',\n",
       " 'arefresh_from_db',\n",
       " 'asave',\n",
       " 'bookmarks',\n",
       " 'bridge',\n",
       " 'bridge_id',\n",
       " 'bridge_interfaces',\n",
       " 'cable',\n",
       " 'cable_end',\n",
       " 'cable_id',\n",
       " 'cable_terminations',\n",
       " 'cf',\n",
       " 'check',\n",
       " 'child_interfaces',\n",
       " 'clean',\n",
       " 'clean_fields',\n",
       " 'clone',\n",
       " 'clone_fields',\n",
       " 'connected_endpoints',\n",
       " 'count_fhrp_groups',\n",
       " 'count_ipaddresses',\n",
       " 'created',\n",
       " 'custom_field_data',\n",
       " 'custom_fields',\n",
       " 'date_error_message',\n",
       " 'delete',\n",
       " 'description',\n",
       " 'device',\n",
       " 'device_id',\n",
       " 'docs_url',\n",
       " 'duplex',\n",
       " 'enabled',\n",
       " 'fhrp_group_assignments',\n",
       " 'from_db',\n",
       " 'full_clean',\n",
       " 'get_absolute_url',\n",
       " 'get_cable_end_display',\n",
       " 'get_constraints',\n",
       " 'get_custom_fields',\n",
       " 'get_custom_fields_by_group',\n",
       " 'get_deferred_fields',\n",
       " 'get_duplex_display',\n",
       " 'get_mode_display',\n",
       " 'get_poe_mode_display',\n",
       " 'get_poe_type_display',\n",
       " 'get_rf_channel_display',\n",
       " 'get_rf_role_display',\n",
       " 'get_type_display',\n",
       " 'id',\n",
       " 'inventory_items',\n",
       " 'ip_addresses',\n",
       " 'is_bridge',\n",
       " 'is_lag',\n",
       " 'is_virtual',\n",
       " 'is_wired',\n",
       " 'is_wireless',\n",
       " 'journal_entries',\n",
       " 'l2vpn_termination',\n",
       " 'l2vpn_terminations',\n",
       " 'label',\n",
       " 'lag',\n",
       " 'lag_id',\n",
       " 'last_updated',\n",
       " 'link',\n",
       " 'link_peers',\n",
       " 'mac_address',\n",
       " 'mark_connected',\n",
       " 'member_interfaces',\n",
       " 'mgmt_only',\n",
       " 'mode',\n",
       " 'module',\n",
       " 'module_id',\n",
       " 'mtu',\n",
       " 'name',\n",
       " 'objects',\n",
       " 'opposite_cable_end',\n",
       " 'parent',\n",
       " 'parent_id',\n",
       " 'parent_object',\n",
       " 'path',\n",
       " 'pk',\n",
       " 'poe_mode',\n",
       " 'poe_type',\n",
       " 'populate_custom_field_defaults',\n",
       " 'prepare_database_save',\n",
       " 'refresh_from_db',\n",
       " 'rf_channel',\n",
       " 'rf_channel_frequency',\n",
       " 'rf_channel_width',\n",
       " 'rf_role',\n",
       " 'save',\n",
       " 'save_base',\n",
       " 'serializable_value',\n",
       " 'serialize_object',\n",
       " 'snapshot',\n",
       " 'speed',\n",
       " 'tagged_items',\n",
       " 'tagged_vlans',\n",
       " 'tags',\n",
       " 'to_objectchange',\n",
       " 'trace',\n",
       " 'tracker',\n",
       " 'tunnel_termination',\n",
       " 'tunnel_terminations',\n",
       " 'tx_power',\n",
       " 'type',\n",
       " 'unique_error_message',\n",
       " 'untagged_vlan',\n",
       " 'untagged_vlan_id',\n",
       " 'validate_constraints',\n",
       " 'validate_unique',\n",
       " 'vdcs',\n",
       " 'vrf',\n",
       " 'vrf_id',\n",
       " 'wireless_lans',\n",
       " 'wireless_link',\n",
       " 'wireless_link_id',\n",
       " 'wwn']"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dir(nb_interfaces)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### If you know roughly what you're looking for, you can filter this list --> list comprehension\n",
    "\n",
    "### it take objects from a list (for a in dir(i)), filters it (if \"address\" in a which in this case is a substring match) and then returns a new list comprising those elements (the first a after the opening bracket is the expression used to create each new element in the list)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['count_ipaddresses', 'ip_addresses', 'mac_address']"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[a for a in dir(nb_interfaces) if \"address\" in a]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# <div class=\"alert alert-danger\">IPAddress is not defined </div>\n",
    "\n",
    "### Note we can't directly access IP address since we are not chaining it from device in single command "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'IPAddress' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[57], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m addrs \u001b[38;5;241m=\u001b[39m \u001b[43mIPAddress\u001b[49m\u001b[38;5;241m.\u001b[39mobjects\u001b[38;5;241m.\u001b[39mget(interface\u001b[38;5;241m=\u001b[39mnb_interfaces)\n\u001b[1;32m      2\u001b[0m addrs\n",
      "\u001b[0;31mNameError\u001b[0m: name 'IPAddress' is not defined"
     ]
    }
   ],
   "source": [
    "addrs = IPAddress.objects.get(interface=nb_interfaces)\n",
    "addrs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "from ipam.models import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<IPAddress: 10.254.141.210/26>"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "addrs = IPAddress.objects.get(interface=nb_interfaces)\n",
    "addrs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Help for the Interface Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on class Interface in module dcim.models.device_components:\n",
      "\n",
      "class Interface(ModularComponentModel, BaseInterface, CabledObjectModel, PathEndpoint, utilities.tracking.TrackingModelMixin)\n",
      " |  Interface(*args, **kwargs)\n",
      " |  \n",
      " |  A network interface within a Device. A physical Interface can connect to exactly one other Interface.\n",
      " |  \n",
      " |  Method resolution order:\n",
      " |      Interface\n",
      " |      ModularComponentModel\n",
      " |      ComponentModel\n",
      " |      netbox.models.NetBoxModel\n",
      " |      netbox.models.NetBoxFeatureSet\n",
      " |      netbox.models.features.BookmarksMixin\n",
      " |      netbox.models.features.ChangeLoggingMixin\n",
      " |      netbox.models.features.CloningMixin\n",
      " |      netbox.models.features.CustomFieldsMixin\n",
      " |      netbox.models.features.CustomLinksMixin\n",
      " |      netbox.models.features.CustomValidationMixin\n",
      " |      netbox.models.features.ExportTemplatesMixin\n",
      " |      netbox.models.features.JournalingMixin\n",
      " |      netbox.models.features.TagsMixin\n",
      " |      netbox.models.features.EventRulesMixin\n",
      " |      BaseInterface\n",
      " |      CabledObjectModel\n",
      " |      PathEndpoint\n",
      " |      django.db.models.base.Model\n",
      " |      django.db.models.utils.AltersData\n",
      " |      utilities.tracking.TrackingModelMixin\n",
      " |      builtins.object\n",
      " |  \n",
      " |  Methods defined here:\n",
      " |  \n",
      " |  cable_end = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  clean(self)\n",
      " |      Validate the model for GenericForeignKey fields to ensure that the content type and object ID exist.\n",
      " |  \n",
      " |  created = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  custom_field_data = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  description = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  duplex = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  enabled = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  get_absolute_url(self)\n",
      " |  \n",
      " |  get_cable_end_display = _method(self, *, field=<django.db.models.fields.CharField: cable_end>)\n",
      " |  \n",
      " |  get_duplex_display = _method(self, *, field=<django.db.models.fields.CharField: duplex>)\n",
      " |  \n",
      " |  get_mode_display = _method(self, *, field=<django.db.models.fields.CharField: mode>)\n",
      " |  \n",
      " |  get_poe_mode_display = _method(self, *, field=<django.db.models.fields.CharField: poe_mode>)\n",
      " |  \n",
      " |  get_poe_type_display = _method(self, *, field=<django.db.models.fields.CharField: poe_type>)\n",
      " |  \n",
      " |  get_rf_channel_display = _method(self, *, field=<django.db.models.fields.CharField: rf_channel>)\n",
      " |  \n",
      " |  get_rf_role_display = _method(self, *, field=<django.db.models.fields.CharField: rf_role>)\n",
      " |  \n",
      " |  get_type_display = _method(self, *, field=<django.db.models.fields.CharField: type>)\n",
      " |  \n",
      " |  id = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  label = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  last_updated = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  link_peers = <functools.cached_property object>\n",
      " |  mac_address = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  mark_connected = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  mgmt_only = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  mode = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  mtu = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  name = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  poe_mode = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  poe_type = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  rf_channel = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  rf_channel_frequency = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  rf_channel_width = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  rf_role = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  save(self, *args, **kwargs)\n",
      " |      Save the current instance. Override this in a subclass if you want to\n",
      " |      control the saving process.\n",
      " |      \n",
      " |      The 'force_insert' and 'force_update' parameters can be used to insist\n",
      " |      that the \"save\" must be an SQL insert or update (or equivalent for\n",
      " |      non-SQL backends), respectively. Normally, they should not be set.\n",
      " |  \n",
      " |  speed = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  tx_power = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  type = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  wwn = <django.db.models.query_utils.DeferredAttribute object>\n",
      " |  ----------------------------------------------------------------------\n",
      " |  Readonly properties defined here:\n",
      " |  \n",
      " |  is_bridge\n",
      " |  \n",
      " |  is_lag\n",
      " |  \n",
      " |  is_virtual\n",
      " |  \n",
      " |  is_wired\n",
      " |  \n",
      " |  is_wireless\n",
      " |  \n",
      " |  l2vpn_termination\n",
      " |  \n",
      " |  link\n",
      " |      Generic wrapper for a Cable, WirelessLink, or some other relation to a connected termination.\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Data descriptors defined here:\n",
      " |  \n",
      " |  bookmarks\n",
      " |  \n",
      " |  bridge\n",
      " |  \n",
      " |  bridge_id\n",
      " |  \n",
      " |  bridge_interfaces\n",
      " |  \n",
      " |  cable\n",
      " |  \n",
      " |  cable_id\n",
      " |  \n",
      " |  cable_terminations\n",
      " |  \n",
      " |  child_interfaces\n",
      " |  \n",
      " |  device\n",
      " |  \n",
      " |  device_id\n",
      " |  \n",
      " |  fhrp_group_assignments\n",
      " |  \n",
      " |  inventory_items\n",
      " |  \n",
      " |  ip_addresses\n",
      " |  \n",
      " |  journal_entries\n",
      " |  \n",
      " |  l2vpn_terminations\n",
      " |  \n",
      " |  lag\n",
      " |  \n",
      " |  lag_id\n",
      " |  \n",
      " |  member_interfaces\n",
      " |  \n",
      " |  module\n",
      " |  \n",
      " |  module_id\n",
      " |  \n",
      " |  parent\n",
      " |  \n",
      " |  parent_id\n",
      " |  \n",
      " |  tagged_items\n",
      " |  \n",
      " |  tagged_vlans\n",
      " |  \n",
      " |  tunnel_terminations\n",
      " |  \n",
      " |  untagged_vlan\n",
      " |  \n",
      " |  untagged_vlan_id\n",
      " |  \n",
      " |  vdcs\n",
      " |  \n",
      " |  vrf\n",
      " |  \n",
      " |  vrf_id\n",
      " |  \n",
      " |  wireless_lans\n",
      " |  \n",
      " |  wireless_link\n",
      " |  \n",
      " |  wireless_link_id\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Data and other attributes defined here:\n",
      " |  \n",
      " |  DoesNotExist = <class 'dcim.models.device_components.Interface.DoesNot...\n",
      " |  \n",
      " |  MultipleObjectsReturned = <class 'dcim.models.device_components.Interf...\n",
      " |  \n",
      " |  clone_fields = ('device', 'module', 'parent', 'bridge', 'lag', 'type',...\n",
      " |  \n",
      " |  tags = <taggit.managers._TaggableManager object>\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Data and other attributes inherited from ModularComponentModel:\n",
      " |  \n",
      " |  Meta = <class 'dcim.models.device_components.ModularComponentModel.Met...\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Methods inherited from ComponentModel:\n",
      " |  \n",
      " |  __init__(self, *args, **kwargs)\n",
      " |      Initialize self.  See help(type(self)) for accurate signature.\n",
      " |  \n",
      " |  __str__(self)\n",
      " |      Return str(self).\n",
      " |  \n",
      " |  to_objectchange(self, action)\n",
      " |      Return a new ObjectChange representing a change made to this object. This will typically be called automatically\n",
      " |      by ChangeLoggingMiddleware.\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Readonly properties inherited from ComponentModel:\n",
      " |  \n",
      " |  parent_object\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Data and other attributes inherited from netbox.models.NetBoxModel:\n",
      " |  \n",
      " |  objects = <django.db.models.manager.ManagerFromRestrictedQuerySet obje...\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Readonly properties inherited from netbox.models.NetBoxFeatureSet:\n",
      " |  \n",
      " |  docs_url\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Methods inherited from netbox.models.features.ChangeLoggingMixin:\n",
      " |  \n",
      " |  serialize_object(self, exclude=None)\n",
      " |      Return a JSON representation of the instance. Models can override this method to replace or extend the default\n",
      " |      serialization logic provided by the `serialize_object()` utility function.\n",
      " |      \n",
      " |      Args:\n",
      " |          exclude: An iterable of attribute names to omit from the serialized output\n",
      " |  \n",
      " |  snapshot(self)\n",
      " |      Save a snapshot of the object's current state in preparation for modification. The snapshot is saved as\n",
      " |      `_prechange_snapshot` on the instance.\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Methods inherited from netbox.models.features.CloningMixin:\n",
      " |  \n",
      " |  clone(self)\n",
      " |      Returns a dictionary of attributes suitable for creating a copy of the current instance. This is used for pre-\n",
      " |      populating an object creation form in the UI. By default, this method will replicate any fields listed in the\n",
      " |      model's `clone_fields` list (if defined), but it can be overridden to apply custom logic.\n",
      " |      \n",
      " |      ```python\n",
      " |      class MyModel(NetBoxModel):\n",
      " |          def clone(self):\n",
      " |              attrs = super().clone()\n",
      " |              attrs['extra-value'] = 123\n",
      " |              return attrs\n",
      " |      ```\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Methods inherited from netbox.models.features.CustomFieldsMixin:\n",
      " |  \n",
      " |  cf = <functools.cached_property object>\n",
      " |      Return a dictionary mapping each custom field for this instance to its deserialized value.\n",
      " |      \n",
      " |      ```python\n",
      " |      >>> tenant = Tenant.objects.first()\n",
      " |      >>> tenant.cf\n",
      " |      {'primary_site': <Site: DM-NYC>, 'cust_id': 'DMI01', 'is_active': True}\n",
      " |      ```\n",
      " |  \n",
      " |  custom_fields = <functools.cached_property object>\n",
      " |      Return the QuerySet of CustomFields assigned to this model.\n",
      " |      \n",
      " |      ```python\n",
      " |      >>> tenant = Tenant.objects.first()\n",
      " |      >>> tenant.custom_fields\n",
      " |      <RestrictedQuerySet [<CustomField: Primary site>, <CustomField: Customer ID>, <CustomField: Is active>]>\n",
      " |      ```\n",
      " |  \n",
      " |  get_custom_fields(self, omit_hidden=False)\n",
      " |      Return a dictionary of custom fields for a single object in the form `{field: value}`.\n",
      " |      \n",
      " |      ```python\n",
      " |      >>> tenant = Tenant.objects.first()\n",
      " |      >>> tenant.get_custom_fields()\n",
      " |      {<CustomField: Customer ID>: 'CYB01'}\n",
      " |      ```\n",
      " |      \n",
      " |      Args:\n",
      " |          omit_hidden: If True, custom fields with no UI visibility will be omitted.\n",
      " |  \n",
      " |  get_custom_fields_by_group(self)\n",
      " |      Return a dictionary of custom field/value mappings organized by group. Hidden fields are omitted.\n",
      " |      \n",
      " |      ```python\n",
      " |      >>> tenant = Tenant.objects.first()\n",
      " |      >>> tenant.get_custom_fields_by_group()\n",
      " |      {\n",
      " |          '': {<CustomField: Primary site>: <Site: DM-NYC>},\n",
      " |          'Billing': {<CustomField: Customer ID>: 'DMI01', <CustomField: Is active>: True}\n",
      " |      }\n",
      " |      ```\n",
      " |  \n",
      " |  populate_custom_field_defaults(self)\n",
      " |      Apply the default value for each custom field\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Readonly properties inherited from BaseInterface:\n",
      " |  \n",
      " |  count_fhrp_groups\n",
      " |  \n",
      " |  count_ipaddresses\n",
      " |  \n",
      " |  tunnel_termination\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Readonly properties inherited from CabledObjectModel:\n",
      " |  \n",
      " |  opposite_cable_end\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Methods inherited from PathEndpoint:\n",
      " |  \n",
      " |  connected_endpoints = <functools.cached_property object>\n",
      " |      Caching accessor for the attached CablePath's destination (if any)\n",
      " |  \n",
      " |  trace(self)\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Readonly properties inherited from PathEndpoint:\n",
      " |  \n",
      " |  path\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Methods inherited from django.db.models.base.Model:\n",
      " |  \n",
      " |  __eq__(self, other)\n",
      " |      Return self==value.\n",
      " |  \n",
      " |  __getstate__(self)\n",
      " |      Hook to allow choosing the attributes to pickle.\n",
      " |  \n",
      " |  __hash__(self)\n",
      " |      Return hash(self).\n",
      " |  \n",
      " |  __reduce__(self)\n",
      " |      Helper for pickle.\n",
      " |  \n",
      " |  __repr__(self)\n",
      " |      Return repr(self).\n",
      " |  \n",
      " |  __setstate__(self, state)\n",
      " |  \n",
      " |  async adelete(self, using=None, keep_parents=False)\n",
      " |  \n",
      " |  async arefresh_from_db(self, using=None, fields=None)\n",
      " |  \n",
      " |  async asave(self, force_insert=False, force_update=False, using=None, update_fields=None)\n",
      " |  \n",
      " |  clean_fields(self, exclude=None)\n",
      " |      Clean all fields and raise a ValidationError containing a dict\n",
      " |      of all validation errors if any occur.\n",
      " |  \n",
      " |  date_error_message(self, lookup_type, field_name, unique_for)\n",
      " |  \n",
      " |  delete(self, using=None, keep_parents=False)\n",
      " |  \n",
      " |  full_clean(self, exclude=None, validate_unique=True, validate_constraints=True)\n",
      " |      Call clean_fields(), clean(), validate_unique(), and\n",
      " |      validate_constraints() on the model. Raise a ValidationError for any\n",
      " |      errors that occur.\n",
      " |  \n",
      " |  get_constraints(self)\n",
      " |  \n",
      " |  get_deferred_fields(self)\n",
      " |      Return a set containing names of deferred fields for this instance.\n",
      " |  \n",
      " |  prepare_database_save(self, field)\n",
      " |  \n",
      " |  refresh_from_db(self, using=None, fields=None)\n",
      " |      Reload field values from the database.\n",
      " |      \n",
      " |      By default, the reloading happens from the database this instance was\n",
      " |      loaded from, or by the read router if this instance wasn't loaded from\n",
      " |      any database. The using parameter will override the default.\n",
      " |      \n",
      " |      Fields can be used to specify which fields to reload. The fields\n",
      " |      should be an iterable of field attnames. If fields is None, then\n",
      " |      all non-deferred fields are reloaded.\n",
      " |      \n",
      " |      When accessing deferred fields of an instance, the deferred loading\n",
      " |      of the field will call this method.\n",
      " |  \n",
      " |  save_base(self, raw=False, force_insert=False, force_update=False, using=None, update_fields=None)\n",
      " |      Handle the parts of saving which should be done only once per save,\n",
      " |      yet need to be done in raw saves, too. This includes some sanity\n",
      " |      checks and signal sending.\n",
      " |      \n",
      " |      The 'raw' argument is telling save_base not to save any parent\n",
      " |      models and not to do any changes to the values before save. This\n",
      " |      is used by fixture loading.\n",
      " |  \n",
      " |  serializable_value(self, field_name)\n",
      " |      Return the value of the field name for this instance. If the field is\n",
      " |      a foreign key, return the id value instead of the object. If there's\n",
      " |      no Field object with this name on the model, return the model\n",
      " |      attribute's value.\n",
      " |      \n",
      " |      Used to serialize a field's value (in the serializer, or form output,\n",
      " |      for example). Normally, you would just access the attribute directly\n",
      " |      and not use this method.\n",
      " |  \n",
      " |  unique_error_message(self, model_class, unique_check)\n",
      " |  \n",
      " |  validate_constraints(self, exclude=None)\n",
      " |  \n",
      " |  validate_unique(self, exclude=None)\n",
      " |      Check unique constraints on the model and raise ValidationError if any\n",
      " |      failed.\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Class methods inherited from django.db.models.base.Model:\n",
      " |  \n",
      " |  check(**kwargs) from django.db.models.base.ModelBase\n",
      " |  \n",
      " |  from_db(db, field_names, values) from django.db.models.base.ModelBase\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Data descriptors inherited from django.db.models.base.Model:\n",
      " |  \n",
      " |  pk\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Class methods inherited from django.db.models.utils.AltersData:\n",
      " |  \n",
      " |  __init_subclass__(**kwargs) from django.db.models.base.ModelBase\n",
      " |      This method is called when a class is subclassed.\n",
      " |      \n",
      " |      The default implementation does nothing. It may be\n",
      " |      overridden to extend subclasses.\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Data descriptors inherited from django.db.models.utils.AltersData:\n",
      " |  \n",
      " |  __dict__\n",
      " |      dictionary for instance variables (if defined)\n",
      " |  \n",
      " |  __weakref__\n",
      " |      list of weak references to the object (if defined)\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Methods inherited from utilities.tracking.TrackingModelMixin:\n",
      " |  \n",
      " |  __setattr__(self, name, value)\n",
      " |      Implement setattr(self, name, value).\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Readonly properties inherited from utilities.tracking.TrackingModelMixin:\n",
      " |  \n",
      " |  tracker\n",
      " |      Return the Tracker instance for this instance, first creating it if necessary.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "%run -i '/opt/netbox/netbox/manage.py' 'nbshell' '-c' 'help(Interface)'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### POWER TIP --> https://github.com/netbox-community/netbox/discussions/12568"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['child_interfaces - ManyToOneRel', 'bridge_interfaces - ManyToOneRel', 'member_interfaces - ManyToOneRel', 'id - BigAutoField', 'created - DateTimeField', 'last_updated - DateTimeField', 'custom_field_data - JSONField', 'device - ForeignKey', 'name - CharField', 'label - CharField', 'description - CharField', 'module - ForeignKey', 'cable - ForeignKey', 'cable_end - CharField', 'mark_connected - BooleanField', '_path - ForeignKey', 'enabled - BooleanField', 'mac_address - MACAddressField', 'mtu - PositiveIntegerField', 'mode - CharField', 'parent - ForeignKey', 'bridge - ForeignKey', '_name - NaturalOrderingField', 'lag - ForeignKey', 'type - CharField', 'mgmt_only - BooleanField', 'speed - PositiveIntegerField', 'duplex - CharField', 'wwn - WWNField', 'rf_role - CharField', 'rf_channel - CharField', 'rf_channel_frequency - DecimalField', 'rf_channel_width - DecimalField', 'tx_power - PositiveSmallIntegerField', 'poe_mode - CharField', 'poe_type - CharField', 'wireless_link - ForeignKey', 'untagged_vlan - ForeignKey', 'vrf - ForeignKey', 'tags - TaggableManager', 'vdcs - ManyToManyField', 'wireless_lans - ManyToManyField', 'tagged_vlans - ManyToManyField', 'ip_addresses - GenericRelation', 'fhrp_group_assignments - GenericRelation', 'tunnel_terminations - GenericRelation', 'l2vpn_terminations - GenericRelation', 'inventory_items - GenericRelation', 'bookmarks - GenericRelation', 'journal_entries - GenericRelation', 'cable_terminations - GenericRelation', 'tagged_items - GenericRelation']\n"
     ]
    }
   ],
   "source": [
    "print([f\"{f.name} - {type(f).__name__}\" for f in Interface._meta.get_fields()])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bmc\n",
      "enp65s0f0 (41:00.0)\n",
      "enp65s0f1 (41:00.1)\n"
     ]
    }
   ],
   "source": [
    "nb_interfaces = nb_device.interfaces.all()\n",
    "\n",
    "for i in nb_interfaces:\n",
    "    print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10.254.141.210/26\n",
      "10.254.141.210\n",
      "10.254.141.5/26\n",
      "10.254.141.5\n"
     ]
    }
   ],
   "source": [
    "nb_interfaces = nb_device.interfaces.all()\n",
    "\n",
    "for i in nb_interfaces:\n",
    "    try:\n",
    "        addrs = IPAddress.objects.get(interface=i)\n",
    "        \n",
    "        if addrs:\n",
    "            print(addrs.address)\n",
    "            print(addrs.address.ip)\n",
    "    except:\n",
    "        pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<RestrictedQuerySet [<Interface: bmc>, <Interface: enp65s0f0 (41:00.0)>, <Interface: enp65s0f1 (41:00.1)>]>"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nb_interfaces = nb_device.interfaces.all()\n",
    "nb_interfaces"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# <div class=\"alert alert-danger\">'RestrictedQuerySet' object has no attribute 'mac_address'</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'RestrictedQuerySet' object has no attribute 'mac_address'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[65], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mnb_interfaces\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmac_address\u001b[49m\n",
      "\u001b[0;31mAttributeError\u001b[0m: 'RestrictedQuerySet' object has no attribute 'mac_address'"
     ]
    }
   ],
   "source": [
    "nb_interfaces.mac_address"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### RestrictedQuerySet objects --> If you want to turn it into a list of concrete objects wrap with list(...)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<Interface: bmc>,\n",
       " <Interface: enp65s0f0 (41:00.0)>,\n",
       " <Interface: enp65s0f1 (41:00.1)>]"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nb_interfaces = nb_device.interfaces.all()\n",
    "\n",
    "list(nb_interfaces)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "EUI('AC:1F:6B:A1:E0:92')"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nb_interfaces[0].mac_address"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nb_interfaces[0].enabled"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Source "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime.datetime(2024, 2, 23, 22, 30, 1, 824680, tzinfo=datetime.timezone.utc)"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from core.models import *\n",
    "\n",
    "ztp = DataSource.objects.get(id=10)\n",
    "ztp.last_synced"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'created': '2023-11-30T04:45:02.192Z',\n",
       " 'last_updated': '2023-11-30T04:45:02.192Z',\n",
       " 'description': 'Render real time ZTP configs',\n",
       " 'comments': '',\n",
       " 'name': 'ZTP Jinja2 Templates',\n",
       " 'type': 'git',\n",
       " 'source_url': 'https://netbox_sync:4jZ-dwwewewewew7z@git.vip.com/HE/ztp',\n",
       " 'status': 'completed',\n",
       " 'enabled': True,\n",
       " 'ignore_rules': '',\n",
       " 'parameters': {'branch': '', 'password': '', 'username': ''},\n",
       " 'last_synced': '2024-02-23T22:30:01.824Z',\n",
       " 'custom_fields': {},\n",
       " 'tags': []}"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ztp.serialize_object()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## If Stuck in Queued"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "## If Stuck in Queued\n",
    "\n",
    ">>> d.status = 'completed'\n",
    ">>> d.full_clean()\n",
    "Loaded configuration data from cache\n",
    "Initialized configuration\n",
    ">>> d.save()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Set only works if the IP is being created and is new! "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValidationError",
     "evalue": "{'address': ['Duplicate IP address found in global table: 10.254.141.8/26']}",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValidationError\u001b[0m                           Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[71], line 7\u001b[0m\n\u001b[1;32m      3\u001b[0m iface \u001b[38;5;241m=\u001b[39m Interface\u001b[38;5;241m.\u001b[39mobjects\u001b[38;5;241m.\u001b[39mget(device\u001b[38;5;241m=\u001b[39mdevice\u001b[38;5;241m.\u001b[39mid, name\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbmc\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m      5\u001b[0m ipaddr \u001b[38;5;241m=\u001b[39m IPAddress(address\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m10.254.141.8/26\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m----> 7\u001b[0m \u001b[43mipaddr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfull_clean\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m      8\u001b[0m ipaddr\u001b[38;5;241m.\u001b[39msave()\n\u001b[1;32m     10\u001b[0m iface\u001b[38;5;241m.\u001b[39mip_addresses\u001b[38;5;241m.\u001b[39mset([ipaddr])\n",
      "File \u001b[0;32m/opt/netbox/venv/lib/python3.10/site-packages/django/db/models/base.py:1502\u001b[0m, in \u001b[0;36mModel.full_clean\u001b[0;34m(self, exclude, validate_unique, validate_constraints)\u001b[0m\n\u001b[1;32m   1499\u001b[0m         errors \u001b[38;5;241m=\u001b[39m e\u001b[38;5;241m.\u001b[39mupdate_error_dict(errors)\n\u001b[1;32m   1501\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m errors:\n\u001b[0;32m-> 1502\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m ValidationError(errors)\n",
      "\u001b[0;31mValidationError\u001b[0m: {'address': ['Duplicate IP address found in global table: 10.254.141.8/26']}"
     ]
    }
   ],
   "source": [
    "device = Device.objects.get(name=\"netdevbox\")\n",
    "\n",
    "iface = Interface.objects.get(device=device.id, name=\"bmc\")\n",
    "\n",
    "ipaddr = IPAddress(address='10.254.141.8/26')\n",
    "\n",
    "ipaddr.full_clean()\n",
    "ipaddr.save()\n",
    "\n",
    "iface.ip_addresses.set([ipaddr])\n",
    "\n",
    "device.oob_ip = ipaddr\n",
    "device.save()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Jinja2 Examples\n",
    "\n",
    "### https://docs.netbox.dev/en/stable/configuration/system/#jinja2_filters"
   ]
  },
  {
   "attachments": {
    "Screenshot%202024-04-01%20at%2009.08.21.png": {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Screenshot%202024-04-01%20at%2009.08.21.png](attachment:Screenshot%202024-04-01%20at%2009.08.21.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Edgecore SONiC Device"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "sonic_device = Device.objects.get(name=\"1133-101-RA\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'971632D2222009'"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sonic_device.serial"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'1000010405'"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sonic_device.asset_tag"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Manufacturer: Edgecore>"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sonic_device.device_type.manufacturer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'SONiC.Edgecore-SONiC_20231127_051854_ec202111_657'"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sonic_device.description"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'front-to-rear'"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sonic_device.device_type.airflow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<DeviceRole: Switch-Layer-3>"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sonic_device.role"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Site: 1133 Area 51>"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sonic_device.site"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Rack: 1133-101>"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sonic_device.rack"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Decimal('23.0')"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sonic_device.position"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sonic_device.power_port_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "107"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sonic_device.interface_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<IPAddress: 10.254.148.1/25>"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sonic_device.primary_ip4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'14:44:8f:da:58:11'"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sonic_device.cf['base_system_mac'].lower()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'R01B'"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sonic_device.cf['Hardware_Rev']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'1.0.3.2'"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sonic_device.cf['mfu']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'v40.01.01.02'"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sonic_device.cf['bios']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'local_asn': '65033',\n",
       " 'snmp': ['hweng'],\n",
       " 'dhcp_relay': ['10.254.141.17'],\n",
       " 'dns_servers': ['10.254.141.10', '10.254.141.131'],\n",
       " 'ntp_servers': ['10.245.141.17', '10.254.141.10'],\n",
       " 'dns_forwarders': ['10.254.58.54', '10.254.58.55'],\n",
       " 'nms_server': ['10.76.183.10', '10.76.183.11'],\n",
       " 'spine_asn': '65534'}"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "context_data = sonic_device.get_config_context()\n",
    "context_data. update({ 'device': sonic_device})\n",
    "\n",
    "context_data = sonic_device.get_config_context()\n",
    "context_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'created': '2023-05-07T06:44:11.326Z',\n",
       " 'last_updated': '2024-02-23T22:30:01.839Z',\n",
       " 'data_source': 10,\n",
       " 'data_file': 698,\n",
       " 'data_path': 'templates/edge_AS9716_32D_config_db.j2',\n",
       " 'auto_sync_enabled': True,\n",
       " 'data_synced': '2024-02-23T22:30:01.839Z',\n",
       " 'name': 'EDGECORE_AS9716_32D_DATA',\n",
       " 'description': 'Edgecore SONiC AS9716_32D Data Switch',\n",
       " 'template_code': '{\\n    \"AUTO_TECHSUPPORT\": {\\n        \"GLOBAL\": {\\n            \"max_core_limit\": \"5.0\",\\n            \"max_techsupport_limit\": \"10.0\",\\n            \"rate_limit_interval\": \"180\",\\n            \"since\": \"2 days ago\",\\n            \"state\": \"enabled\"\\n        }\\n    },\\n    \"AUTO_TECHSUPPORT_FEATURE\": {\\n        \"bgp\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"database\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"dhcp_relay\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"iccpd\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"lldp\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"macsec\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"mgmt-framework\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"mux\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"nat\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"p4rt\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"pmon\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"radv\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"sflow\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"snmp\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"stp\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"swss\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"syncd\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"teamd\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"telemetry\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        }\\n    },\\n    \"BREAKOUT_CFG\": { \\n        {%- for interface in device.interfaces.filter(name__contains=\\'Ethernet\\') %}\\n        {%- if interface.type == \\'25gbase-x-sfp28\\' %}{% set brkout = \\'4x25G[10G](4)\\' %}\\n        {%- elif interface.type == \\'10gbase-x-sfpp\\' %}{% set brkout = \\'4x25G[10G](4)\\' %}\\n        {%- elif interface.type == \\'100gbase-x-qsfp28\\' %}{% set brkout = \\'1x100G[40G](4)\\' %}\\n        {%- elif interface.type == \\'100gbase-x-qsfpdd\\' %}{% set brkout = \\'4x100G\\' %}\\n        {%- elif interface.type == \\'400gbase-x-qsfpdd\\' %}{% set brkout = \\'1x400G\\' %} {% endif %}\\n        {%- if interface.label.split(\"/\")[1].split(\\'(\\')[0] == \\'1\\' %}\\n        \"{{interface.name}}\": { \\n            \"brkout_mode\": \"{{ brkout }}\"\\n        }{%- if not loop.last -%},{% endif %} {% endif %} {% endfor %}\\n    },\\n    \"CRM\": {\\n        \"Config\": {\\n            \"acl_counter_high_threshold\": \"85\",\\n            \"acl_counter_low_threshold\": \"70\",\\n            \"acl_counter_threshold_type\": \"percentage\",\\n            \"acl_entry_high_threshold\": \"85\",\\n            \"acl_entry_low_threshold\": \"70\",\\n            \"acl_entry_threshold_type\": \"percentage\",\\n            \"acl_group_high_threshold\": \"85\",\\n            \"acl_group_low_threshold\": \"70\",\\n            \"acl_group_threshold_type\": \"percentage\",\\n            \"acl_table_high_threshold\": \"85\",\\n            \"acl_table_low_threshold\": \"70\",\\n            \"acl_table_threshold_type\": \"percentage\",\\n            \"dnat_entry_high_threshold\": \"85\",\\n            \"dnat_entry_low_threshold\": \"70\",\\n            \"dnat_entry_threshold_type\": \"percentage\",\\n            \"fdb_entry_high_threshold\": \"85\",\\n            \"fdb_entry_low_threshold\": \"70\",\\n            \"fdb_entry_threshold_type\": \"percentage\",\\n            \"ipmc_entry_high_threshold\": \"85\",\\n            \"ipmc_entry_low_threshold\": \"70\",\\n            \"ipmc_entry_threshold_type\": \"percentage\",\\n            \"ipv4_neighbor_high_threshold\": \"85\",\\n            \"ipv4_neighbor_low_threshold\": \"70\",\\n            \"ipv4_neighbor_threshold_type\": \"percentage\",\\n            \"ipv4_nexthop_high_threshold\": \"85\",\\n            \"ipv4_nexthop_low_threshold\": \"70\",\\n            \"ipv4_nexthop_threshold_type\": \"percentage\",\\n            \"ipv4_route_high_threshold\": \"85\",\\n            \"ipv4_route_low_threshold\": \"70\",\\n            \"ipv4_route_threshold_type\": \"percentage\",\\n            \"ipv6_neighbor_high_threshold\": \"85\",\\n            \"ipv6_neighbor_low_threshold\": \"70\",\\n            \"ipv6_neighbor_threshold_type\": \"percentage\",\\n            \"ipv6_nexthop_high_threshold\": \"85\",\\n            \"ipv6_nexthop_low_threshold\": \"70\",\\n            \"ipv6_nexthop_threshold_type\": \"percentage\",\\n            \"ipv6_route_high_threshold\": \"85\",\\n            \"ipv6_route_low_threshold\": \"70\",\\n            \"ipv6_route_threshold_type\": \"percentage\",\\n            \"mpls_inseg_high_threshold\": \"85\",\\n            \"mpls_inseg_low_threshold\": \"70\",\\n            \"mpls_inseg_threshold_type\": \"percentage\",\\n            \"mpls_nexthop_high_threshold\": \"85\",\\n            \"mpls_nexthop_low_threshold\": \"70\",\\n            \"mpls_nexthop_threshold_type\": \"percentage\",\\n            \"nexthop_group_high_threshold\": \"85\",\\n            \"nexthop_group_low_threshold\": \"70\",\\n            \"nexthop_group_member_high_threshold\": \"85\",\\n            \"nexthop_group_member_low_threshold\": \"70\",\\n            \"nexthop_group_member_threshold_type\": \"percentage\",\\n            \"nexthop_group_threshold_type\": \"percentage\",\\n            \"polling_interval\": \"300\",\\n            \"snat_entry_high_threshold\": \"85\",\\n            \"snat_entry_low_threshold\": \"70\",\\n            \"snat_entry_threshold_type\": \"percentage\"\\n        }\\n    },\\n    \"DEVICE_METADATA\": {\\n        \"localhost\": {\\n            \"buffer_model\": \"traditional\",\\n            \"default_bgp_status\": \"up\",\\n            \"default_pfcwd_status\": \"disable\",\\n            \"docker_routing_config_mode\": \"split\",\\n            \"frr_mgmt_framework_config\": \"true\",\\n            \"hostname\": \"{{ device.name }}\",\\n            \"hwsku\": \"{{ hwsku|default(\"Accton-AS9716-32D\") }}\",\\n            \"mac\": \"{{ device.cf[\\'base_system_mac\\'].lower() }}\",\\n            \"platform\": \"x86_64-accton_as9716_32d-r0\",\\n            \"synchronous_mode\": \"enable\",\\n            \"type\": \"LeafRouter\"\\n        }\\n    },\\n    \"FEATURE\": {\\n        \"bgp\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"False\",\\n            \"has_per_asic_scope\": \"True\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"local\",\\n            \"state\": \"enabled\"\\n        },\\n        \"database\": {\\n            \"auto_restart\": \"always_enabled\",\\n            \"has_global_scope\": \"True\",\\n            \"has_per_asic_scope\": \"True\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"local\",\\n            \"state\": \"always_enabled\"\\n        },\\n        \"dhcp_relay\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"True\",\\n            \"has_per_asic_scope\": \"False\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"local\",\\n            \"state\": \"enabled\"\\n        },\\n        \"iccpd\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"True\",\\n            \"has_per_asic_scope\": \"False\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"local\",\\n            \"state\": \"enabled\"\\n        },\\n        \"lldp\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"True\",\\n            \"has_per_asic_scope\": \"True\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"kube\",\\n            \"state\": \"enabled\"\\n        },\\n        \"macsec\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"True\",\\n            \"has_per_asic_scope\": \"False\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"local\",\\n            \"state\": \"disabled\"\\n        },\\n        \"mgmt-framework\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"True\",\\n            \"has_per_asic_scope\": \"False\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"local\",\\n            \"state\": \"enabled\"\\n        },\\n        \"mux\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"True\",\\n            \"has_per_asic_scope\": \"False\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"local\",\\n            \"state\": \"always_disabled\"\\n        },\\n        \"nat\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"True\",\\n            \"has_per_asic_scope\": \"False\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"local\",\\n            \"state\": \"enabled\"\\n        },\\n        \"p4rt\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"True\",\\n            \"has_per_asic_scope\": \"False\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"local\",\\n            \"state\": \"enabled\"\\n        },\\n        \"pmon\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"True\",\\n            \"has_per_asic_scope\": \"False\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"kube\",\\n            \"state\": \"enabled\"\\n        },\\n        \"radv\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"True\",\\n            \"has_per_asic_scope\": \"False\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"kube\",\\n            \"state\": \"enabled\"\\n        },\\n        \"sflow\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"True\",\\n            \"has_per_asic_scope\": \"False\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"local\",\\n            \"state\": \"enabled\"\\n        },\\n        \"snmp\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"True\",\\n            \"has_per_asic_scope\": \"False\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"kube\",\\n            \"state\": \"enabled\"\\n        },\\n        \"stp\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"True\",\\n            \"has_per_asic_scope\": \"False\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"local\",\\n            \"state\": \"enabled\"\\n        },\\n        \"swss\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"False\",\\n            \"has_per_asic_scope\": \"True\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"local\",\\n            \"state\": \"enabled\"\\n        },\\n        \"syncd\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"False\",\\n            \"has_per_asic_scope\": \"True\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"local\",\\n            \"state\": \"enabled\"\\n        },\\n        \"teamd\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"False\",\\n            \"has_per_asic_scope\": \"True\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"local\",\\n            \"state\": \"enabled\"\\n        },\\n        \"telemetry\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"True\",\\n            \"has_per_asic_scope\": \"False\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"kube\",\\n            \"state\": \"enabled\"\\n        }\\n    },\\n    \"FLEX_COUNTER_TABLE\": {\\n        \"ACL\": {\\n            \"FLEX_COUNTER_DELAY_STATUS\": \"false\",\\n            \"FLEX_COUNTER_STATUS\": \"disable\",\\n            \"POLL_INTERVAL\": \"10000\"\\n        },\\n        \"BUFFER_POOL_WATERMARK\": {\\n            \"FLEX_COUNTER_STATUS\": \"enable\"\\n        },\\n        \"PFCWD\": {\\n            \"FLEX_COUNTER_STATUS\": \"enable\"\\n        },\\n        \"PG_DROP\": {\\n            \"FLEX_COUNTER_STATUS\": \"enable\"\\n        },\\n        \"PG_WATERMARK\": {\\n            \"FLEX_COUNTER_STATUS\": \"enable\"\\n        },\\n        \"PORT\": {\\n            \"FLEX_COUNTER_STATUS\": \"enable\"\\n        },\\n        \"PORT_BUFFER_DROP\": {\\n            \"FLEX_COUNTER_STATUS\": \"enable\"\\n        },\\n        \"QUEUE\": {\\n            \"FLEX_COUNTER_STATUS\": \"enable\"\\n        },\\n        \"QUEUE_WATERMARK\": {\\n            \"FLEX_COUNTER_STATUS\": \"enable\"\\n        },\\n        \"RIF\": {\\n            \"FLEX_COUNTER_STATUS\": \"enable\"\\n        }\\n    }, \\n    \"INTERFACE\": {\\n        {%- for interface in device.interfaces.filter(ip_addresses__isnull=False, name__contains=\\'Eth\\') %}\\n        \"{{ interface.name -}}\": {},\\n        \"{{ interface.name -}}|{{ interface.ip_addresses.first() }}\": {} {%- if not loop.last -%},{% endif %} {% endfor %}\\n    },\\n    \"KDUMP\": {\\n        \"config\": {\\n            \"enabled\": \"false\",\\n            \"memory\": \"0M-2G:256M,2G-4G:320M,4G-8G:384M,8G-:448M\",\\n            \"num_dumps\": \"3\"\\n        }\\n    },\\n    \"LOOPBACK_INTERFACE\": {\\n        {%- set loopback_interface = device.interfaces.get(ip_addresses__isnull=False, name__contains=\\'Loopback0\\') %}\\n        \"{{ loopback_interface.name -}}\": {},\\n        \"{{ loopback_interface.name -}}|{{ loopback_interface.ip_addresses.first() }}\": {}\\n    },\\n    \"MGMT_PORT\": {\\n        \"eth0\": {\\n            \"admin_status\": \"up\",\\n            \"alias\": \"eth0\",\\n            \"description\": \"Management Port\"\\n        }\\n    },\\n    \"MGMT_VRF_CONFIG\": {\\n        \"vrf_global\": {\\n            \"mgmtVrfEnabled\": \"true\"\\n        }\\n    },\\n    \"PORT\": { {%- for port_interface in device.interfaces.filter(name__contains=\\'Ethernet\\') %}\\n        \"{{ port_interface.name }}\": {\\n            {%- if port_interface.type == \\'25gbase-x-sfp28\\' %} {% set fec_type = \\'rs\\' %}\\n            {%- elif port_interface.type == \\'100gbase-x-qsfp28\\' %} {% set fec_type = \\'rs\\' %}\\n            {%- elif port_interface.type == \\'100gbase-x-qsfpdd\\' %} {% set fec_type = \\'rs\\' %}\\n            {%- elif port_interface.type == \\'400gbase-x-qsfpdd\\' %} {% set fec_type = \\'rs\\' %}{% endif %}\\n            \"admin_status\": \"up\",\\n            \"alias\": \"{{ port_interface.label }}\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"{{ fec_type|default(\"none\") }}\", {% set port_index = port_interface.label.split(\"Port\")[1].strip(\")\") %}\\n            \"index\": \"{{port_index|int}}\" ,\\n            \"lanes\": \"{{ port_interface.cf[\\'lanes\\'] }}\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"{{ port_interface.mtu }}\", {% set port_speed = port_interface.speed / 1000 %}\\n            \"speed\": \"{{ port_speed | int }}\"\\n        }{%- if not loop.last -%}, {% endif %} {% endfor %}\\n    },\\n    \"REST_SERVER\": {\\n        \"default\": {\\n            \"client_auth\": \"user\"\\n        }\\n    },\\n    \"SFLOW\": {\\n        \"global\": {\\n            \"admin_state\": \"up\",\\n            \"agent_id\": \"Vlan1\",\\n            \"polling_interval\": \"20\"\\n        }\\n    },\\n    \"SFLOW_COLLECTOR\": {\\n        \"netdevbox\": {\\n            \"collector_ip\": \"10.254.141.5\",\\n            \"collector_port\": \"6343\",\\n            \"collector_vrf\": \"default\"\\n        }\\n    },\\n    \"SFLOW_SESSION\": { {%- for sflow_interface in device.interfaces.filter(name__contains=\\'Eth\\') %}\\n        \"{{ sflow_interface.name}}\": {\\n            \"admin_state\": \"up\"\\n        }{%- if not loop.last -%}, {% endif %} {% endfor %}\\n    },\\n    \"SNMP\": {\\n        \"LOCATION\": {\\n            \"Location\": \"public\"\\n        }\\n    },\\n    \"SNMP_COMMUNITY\": {\\n        \"public\": {\\n            \"TYPE\": \"RO\"\\n        }\\n    },\\n    \"VERSIONS\": {\\n        \"DATABASE\": {\\n            \"VERSION\": \"version_2_0_4\"\\n        }\\n    },\\n    \"VLAN\": { {% set interface = device.interfaces.get(name__contains=\\'Vlan\\') %}\\n        \"{{ interface.name -}}\": {\\n            \"dhcp_relay_src_intf\": \"{{ loopback_interface.name }}\",\\n            \"dhcp_servers\": [  {% set dhcp_ip = dhcp_relay %} \\n            \"{{ dhcp_ip[0] }}\"\\n            ],\\n            \"vlanid\": \"{{interface.name[-1]}}\"\\n        }\\n    },\\n    \"VLAN_INTERFACE\": {\\n        {%- for interface in device.interfaces.filter(ip_addresses__isnull=False, name__contains=\\'Vlan\\')[:1] %}\\n        \"{{ interface.name -}}\": {},\\n        \"{{ interface.name -}}|{{ interface.ip_addresses.first() }}\": {}{% if interface.ip_addresses.last() != interface.ip_addresses.first()%},\\n        \"{{ interface.name -}}|{{ interface.ip_addresses.last()  }}\": {} {% endif %} {%- if not loop.last -%}, {% endif %} {% endfor %}\\n    },\\n    \"VLAN_MEMBER\": {\\n        {%- for eth_interface in device.interfaces.filter(name__contains=\\'Eth\\', mode=\\'access\\') %}\\n        \"{{interface.name}}|{{eth_interface.name}}\": {\\n            \"tagging_mode\": \"untagged\"\\n        }{%- if not loop.last -%},{% endif %} {% endfor %}\\n    },\\n    \"XCVRD_LOG\": {\\n        \"Y_CABLE\": {\\n            \"log_verbosity\": \"notice\"\\n        }\\n    }\\n}\\n',\n",
       " 'environment_params': {},\n",
       " 'tags': []}"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sonic_device.config_template.serialize_object()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Render the SONiC config built from NetBox Data and Jinja2 Template!! "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'{\\n    \"AUTO_TECHSUPPORT\": {\\n        \"GLOBAL\": {\\n            \"max_core_limit\": \"5.0\",\\n            \"max_techsupport_limit\": \"10.0\",\\n            \"rate_limit_interval\": \"180\",\\n            \"since\": \"2 days ago\",\\n            \"state\": \"enabled\"\\n        }\\n    },\\n    \"AUTO_TECHSUPPORT_FEATURE\": {\\n        \"bgp\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"database\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"dhcp_relay\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"iccpd\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"lldp\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"macsec\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"mgmt-framework\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"mux\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"nat\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"p4rt\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"pmon\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"radv\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"sflow\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"snmp\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"stp\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"swss\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"syncd\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"teamd\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        },\\n        \"telemetry\": {\\n            \"rate_limit_interval\": \"600\",\\n            \"state\": \"enabled\"\\n        }\\n    },\\n    \"BREAKOUT_CFG\": {\\n        \"Ethernet0\": { \\n            \"brkout_mode\": \"4x25G[10G](4)\"\\n        },     \\n        \"Ethernet8\": { \\n            \"brkout_mode\": \"4x25G[10G](4)\"\\n        },     \\n        \"Ethernet16\": { \\n            \"brkout_mode\": \"4x25G[10G](4)\"\\n        },     \\n        \"Ethernet24\": { \\n            \"brkout_mode\": \"4x25G[10G](4)\"\\n        },     \\n        \"Ethernet32\": { \\n            \"brkout_mode\": \"4x25G[10G](4)\"\\n        },     \\n        \"Ethernet40\": { \\n            \"brkout_mode\": \"4x25G[10G](4)\"\\n        },     \\n        \"Ethernet48\": { \\n            \"brkout_mode\": \"4x25G[10G](4)\"\\n        },     \\n        \"Ethernet56\": { \\n            \"brkout_mode\": \"4x25G[10G](4)\"\\n        },     \\n        \"Ethernet64\": { \\n            \"brkout_mode\": \"4x25G[10G](4)\"\\n        },     \\n        \"Ethernet72\": { \\n            \"brkout_mode\": \"4x25G[10G](4)\"\\n        },     \\n        \"Ethernet80\": { \\n            \"brkout_mode\": \"4x25G[10G](4)\"\\n        },     \\n        \"Ethernet88\": { \\n            \"brkout_mode\": \"4x25G[10G](4)\"\\n        },     \\n        \"Ethernet96\": { \\n            \"brkout_mode\": \"4x25G[10G](4)\"\\n        },     \\n        \"Ethernet104\": { \\n            \"brkout_mode\": \"4x25G[10G](4)\"\\n        },     \\n        \"Ethernet112\": { \\n            \"brkout_mode\": \"4x25G[10G](4)\"\\n        },     \\n        \"Ethernet120\": { \\n            \"brkout_mode\": \"4x25G[10G](4)\"\\n        },     \\n        \"Ethernet128\": { \\n            \"brkout_mode\": \"4x25G[10G](4)\"\\n        },     \\n        \"Ethernet136\": { \\n            \"brkout_mode\": \"4x25G[10G](4)\"\\n        },     \\n        \"Ethernet144\": { \\n            \"brkout_mode\": \"1x100G[40G](4)\"\\n        },     \\n        \"Ethernet152\": { \\n            \"brkout_mode\": \"1x100G[40G](4)\"\\n        },     \\n        \"Ethernet160\": { \\n            \"brkout_mode\": \"1x100G[40G](4)\"\\n        },     \\n        \"Ethernet168\": { \\n            \"brkout_mode\": \"1x100G[40G](4)\"\\n        },     \\n        \"Ethernet176\": { \\n            \"brkout_mode\": \"1x100G[40G](4)\"\\n        },     \\n        \"Ethernet184\": { \\n            \"brkout_mode\": \"4x25G[10G](4)\"\\n        },     \\n        \"Ethernet192\": { \\n            \"brkout_mode\": \"1x100G[40G](4)\"\\n        },  \\n        \"Ethernet200\": { \\n            \"brkout_mode\": \"1x100G[40G](4)\"\\n        },  \\n        \"Ethernet208\": { \\n            \"brkout_mode\": \"1x100G[40G](4)\"\\n        },  \\n        \"Ethernet216\": { \\n            \"brkout_mode\": \"1x100G[40G](4)\"\\n        },   \\n        \"Ethernet224\": { \\n            \"brkout_mode\": \"1x400G\"\\n        },   \\n        \"Ethernet232\": { \\n            \"brkout_mode\": \"1x400G\"\\n        },   \\n        \"Ethernet240\": { \\n            \"brkout_mode\": \"1x400G\"\\n        },   \\n        \"Ethernet248\": { \\n            \"brkout_mode\": \"1x400G\"\\n        }  \\n    },\\n    \"CRM\": {\\n        \"Config\": {\\n            \"acl_counter_high_threshold\": \"85\",\\n            \"acl_counter_low_threshold\": \"70\",\\n            \"acl_counter_threshold_type\": \"percentage\",\\n            \"acl_entry_high_threshold\": \"85\",\\n            \"acl_entry_low_threshold\": \"70\",\\n            \"acl_entry_threshold_type\": \"percentage\",\\n            \"acl_group_high_threshold\": \"85\",\\n            \"acl_group_low_threshold\": \"70\",\\n            \"acl_group_threshold_type\": \"percentage\",\\n            \"acl_table_high_threshold\": \"85\",\\n            \"acl_table_low_threshold\": \"70\",\\n            \"acl_table_threshold_type\": \"percentage\",\\n            \"dnat_entry_high_threshold\": \"85\",\\n            \"dnat_entry_low_threshold\": \"70\",\\n            \"dnat_entry_threshold_type\": \"percentage\",\\n            \"fdb_entry_high_threshold\": \"85\",\\n            \"fdb_entry_low_threshold\": \"70\",\\n            \"fdb_entry_threshold_type\": \"percentage\",\\n            \"ipmc_entry_high_threshold\": \"85\",\\n            \"ipmc_entry_low_threshold\": \"70\",\\n            \"ipmc_entry_threshold_type\": \"percentage\",\\n            \"ipv4_neighbor_high_threshold\": \"85\",\\n            \"ipv4_neighbor_low_threshold\": \"70\",\\n            \"ipv4_neighbor_threshold_type\": \"percentage\",\\n            \"ipv4_nexthop_high_threshold\": \"85\",\\n            \"ipv4_nexthop_low_threshold\": \"70\",\\n            \"ipv4_nexthop_threshold_type\": \"percentage\",\\n            \"ipv4_route_high_threshold\": \"85\",\\n            \"ipv4_route_low_threshold\": \"70\",\\n            \"ipv4_route_threshold_type\": \"percentage\",\\n            \"ipv6_neighbor_high_threshold\": \"85\",\\n            \"ipv6_neighbor_low_threshold\": \"70\",\\n            \"ipv6_neighbor_threshold_type\": \"percentage\",\\n            \"ipv6_nexthop_high_threshold\": \"85\",\\n            \"ipv6_nexthop_low_threshold\": \"70\",\\n            \"ipv6_nexthop_threshold_type\": \"percentage\",\\n            \"ipv6_route_high_threshold\": \"85\",\\n            \"ipv6_route_low_threshold\": \"70\",\\n            \"ipv6_route_threshold_type\": \"percentage\",\\n            \"mpls_inseg_high_threshold\": \"85\",\\n            \"mpls_inseg_low_threshold\": \"70\",\\n            \"mpls_inseg_threshold_type\": \"percentage\",\\n            \"mpls_nexthop_high_threshold\": \"85\",\\n            \"mpls_nexthop_low_threshold\": \"70\",\\n            \"mpls_nexthop_threshold_type\": \"percentage\",\\n            \"nexthop_group_high_threshold\": \"85\",\\n            \"nexthop_group_low_threshold\": \"70\",\\n            \"nexthop_group_member_high_threshold\": \"85\",\\n            \"nexthop_group_member_low_threshold\": \"70\",\\n            \"nexthop_group_member_threshold_type\": \"percentage\",\\n            \"nexthop_group_threshold_type\": \"percentage\",\\n            \"polling_interval\": \"300\",\\n            \"snat_entry_high_threshold\": \"85\",\\n            \"snat_entry_low_threshold\": \"70\",\\n            \"snat_entry_threshold_type\": \"percentage\"\\n        }\\n    },\\n    \"DEVICE_METADATA\": {\\n        \"localhost\": {\\n            \"buffer_model\": \"traditional\",\\n            \"default_bgp_status\": \"up\",\\n            \"default_pfcwd_status\": \"disable\",\\n            \"docker_routing_config_mode\": \"split\",\\n            \"frr_mgmt_framework_config\": \"true\",\\n            \"hostname\": \"1133-101-RA\",\\n            \"hwsku\": \"Accton-AS9716-32D\",\\n            \"mac\": \"14:44:8f:da:58:11\",\\n            \"platform\": \"x86_64-accton_as9716_32d-r0\",\\n            \"synchronous_mode\": \"enable\",\\n            \"type\": \"LeafRouter\"\\n        }\\n    },\\n    \"FEATURE\": {\\n        \"bgp\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"False\",\\n            \"has_per_asic_scope\": \"True\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"local\",\\n            \"state\": \"enabled\"\\n        },\\n        \"database\": {\\n            \"auto_restart\": \"always_enabled\",\\n            \"has_global_scope\": \"True\",\\n            \"has_per_asic_scope\": \"True\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"local\",\\n            \"state\": \"always_enabled\"\\n        },\\n        \"dhcp_relay\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"True\",\\n            \"has_per_asic_scope\": \"False\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"local\",\\n            \"state\": \"enabled\"\\n        },\\n        \"iccpd\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"True\",\\n            \"has_per_asic_scope\": \"False\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"local\",\\n            \"state\": \"enabled\"\\n        },\\n        \"lldp\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"True\",\\n            \"has_per_asic_scope\": \"True\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"kube\",\\n            \"state\": \"enabled\"\\n        },\\n        \"macsec\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"True\",\\n            \"has_per_asic_scope\": \"False\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"local\",\\n            \"state\": \"disabled\"\\n        },\\n        \"mgmt-framework\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"True\",\\n            \"has_per_asic_scope\": \"False\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"local\",\\n            \"state\": \"enabled\"\\n        },\\n        \"mux\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"True\",\\n            \"has_per_asic_scope\": \"False\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"local\",\\n            \"state\": \"always_disabled\"\\n        },\\n        \"nat\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"True\",\\n            \"has_per_asic_scope\": \"False\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"local\",\\n            \"state\": \"enabled\"\\n        },\\n        \"p4rt\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"True\",\\n            \"has_per_asic_scope\": \"False\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"local\",\\n            \"state\": \"enabled\"\\n        },\\n        \"pmon\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"True\",\\n            \"has_per_asic_scope\": \"False\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"kube\",\\n            \"state\": \"enabled\"\\n        },\\n        \"radv\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"True\",\\n            \"has_per_asic_scope\": \"False\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"kube\",\\n            \"state\": \"enabled\"\\n        },\\n        \"sflow\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"True\",\\n            \"has_per_asic_scope\": \"False\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"local\",\\n            \"state\": \"enabled\"\\n        },\\n        \"snmp\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"True\",\\n            \"has_per_asic_scope\": \"False\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"kube\",\\n            \"state\": \"enabled\"\\n        },\\n        \"stp\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"True\",\\n            \"has_per_asic_scope\": \"False\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"local\",\\n            \"state\": \"enabled\"\\n        },\\n        \"swss\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"False\",\\n            \"has_per_asic_scope\": \"True\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"local\",\\n            \"state\": \"enabled\"\\n        },\\n        \"syncd\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"False\",\\n            \"has_per_asic_scope\": \"True\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"local\",\\n            \"state\": \"enabled\"\\n        },\\n        \"teamd\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"False\",\\n            \"has_per_asic_scope\": \"True\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"local\",\\n            \"state\": \"enabled\"\\n        },\\n        \"telemetry\": {\\n            \"auto_restart\": \"enabled\",\\n            \"has_global_scope\": \"True\",\\n            \"has_per_asic_scope\": \"False\",\\n            \"has_timer\": \"False\",\\n            \"high_mem_alert\": \"disabled\",\\n            \"set_owner\": \"kube\",\\n            \"state\": \"enabled\"\\n        }\\n    },\\n    \"FLEX_COUNTER_TABLE\": {\\n        \"ACL\": {\\n            \"FLEX_COUNTER_DELAY_STATUS\": \"false\",\\n            \"FLEX_COUNTER_STATUS\": \"disable\",\\n            \"POLL_INTERVAL\": \"10000\"\\n        },\\n        \"BUFFER_POOL_WATERMARK\": {\\n            \"FLEX_COUNTER_STATUS\": \"enable\"\\n        },\\n        \"PFCWD\": {\\n            \"FLEX_COUNTER_STATUS\": \"enable\"\\n        },\\n        \"PG_DROP\": {\\n            \"FLEX_COUNTER_STATUS\": \"enable\"\\n        },\\n        \"PG_WATERMARK\": {\\n            \"FLEX_COUNTER_STATUS\": \"enable\"\\n        },\\n        \"PORT\": {\\n            \"FLEX_COUNTER_STATUS\": \"enable\"\\n        },\\n        \"PORT_BUFFER_DROP\": {\\n            \"FLEX_COUNTER_STATUS\": \"enable\"\\n        },\\n        \"QUEUE\": {\\n            \"FLEX_COUNTER_STATUS\": \"enable\"\\n        },\\n        \"QUEUE_WATERMARK\": {\\n            \"FLEX_COUNTER_STATUS\": \"enable\"\\n        },\\n        \"RIF\": {\\n            \"FLEX_COUNTER_STATUS\": \"enable\"\\n        }\\n    }, \\n    \"INTERFACE\": {\\n        \"Ethernet224\": {},\\n        \"Ethernet224|10.254.140.233/31\": {}, \\n        \"Ethernet232\": {},\\n        \"Ethernet232|10.254.140.243/31\": {}, \\n        \"Ethernet240\": {},\\n        \"Ethernet240|10.254.140.235/31\": {}, \\n        \"Ethernet248\": {},\\n        \"Ethernet248|10.254.140.241/31\": {} \\n    },\\n    \"KDUMP\": {\\n        \"config\": {\\n            \"enabled\": \"false\",\\n            \"memory\": \"0M-2G:256M,2G-4G:320M,4G-8G:384M,8G-:448M\",\\n            \"num_dumps\": \"3\"\\n        }\\n    },\\n    \"LOOPBACK_INTERFACE\": {\\n        \"Loopback0\": {},\\n        \"Loopback0|1.1.1.1/32\": {}\\n    },\\n    \"MGMT_PORT\": {\\n        \"eth0\": {\\n            \"admin_status\": \"up\",\\n            \"alias\": \"eth0\",\\n            \"description\": \"Management Port\"\\n        }\\n    },\\n    \"MGMT_VRF_CONFIG\": {\\n        \"vrf_global\": {\\n            \"mgmtVrfEnabled\": \"true\"\\n        }\\n    },\\n    \"PORT\": {\\n        \"Ethernet0\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth1/1(Port1)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"1\" ,\\n            \"lanes\": \"73\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"10000\"\\n        },  \\n        \"Ethernet1\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth1/2(Port1)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"1\" ,\\n            \"lanes\": \"74\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"10000\"\\n        },  \\n        \"Ethernet2\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth1/3(Port1)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"1\" ,\\n            \"lanes\": \"75\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"10000\"\\n        },  \\n        \"Ethernet3\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth1/4(Port1)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"1\" ,\\n            \"lanes\": \"76\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"10000\"\\n        },  \\n        \"Ethernet8\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth2/1(Port2)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"2\" ,\\n            \"lanes\": \"65\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"10000\"\\n        },  \\n        \"Ethernet9\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth2/2(Port2)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"2\" ,\\n            \"lanes\": \"66\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"10000\"\\n        },  \\n        \"Ethernet10\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth2/3(Port2)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"2\" ,\\n            \"lanes\": \"67\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"10000\"\\n        },  \\n        \"Ethernet11\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth2/4(Port2)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"2\" ,\\n            \"lanes\": \"68\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"10000\"\\n        },  \\n        \"Ethernet16\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth3/1(Port3)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"3\" ,\\n            \"lanes\": \"81\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"10000\"\\n        },  \\n        \"Ethernet17\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth3/2(Port3)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"3\" ,\\n            \"lanes\": \"82\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"10000\"\\n        },  \\n        \"Ethernet18\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth3/3(Port3)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"3\" ,\\n            \"lanes\": \"83\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"10000\"\\n        },  \\n        \"Ethernet19\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth3/4(Port3)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"3\" ,\\n            \"lanes\": \"84\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"10000\"\\n        },  \\n        \"Ethernet24\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth4/1(Port4)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"4\" ,\\n            \"lanes\": \"89\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet25\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth4/2(Port4)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"4\" ,\\n            \"lanes\": \"90\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet26\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth4/3(Port4)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"4\" ,\\n            \"lanes\": \"91\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet27\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth4/4(Port4)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"4\" ,\\n            \"lanes\": \"92\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet32\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth5/1(Port5)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"5\" ,\\n            \"lanes\": \"97\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet33\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth5/2(Port5)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"5\" ,\\n            \"lanes\": \"98\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet34\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth5/3(Port5)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"5\" ,\\n            \"lanes\": \"99\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet35\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth5/4(Port5)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"5\" ,\\n            \"lanes\": \"100\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet40\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth6/1(Port6)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"6\" ,\\n            \"lanes\": \"105\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet41\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth6/2(Port6)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"6\" ,\\n            \"lanes\": \"106\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet42\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth6/3(Port6)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"6\" ,\\n            \"lanes\": \"107\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet43\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth6/4(Port6)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"6\" ,\\n            \"lanes\": \"108\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet48\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth7/1(Port7)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"7\" ,\\n            \"lanes\": \"113\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet49\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth7/2(Port7)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"7\" ,\\n            \"lanes\": \"114\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet50\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth7/3(Port7)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"7\" ,\\n            \"lanes\": \"115\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet51\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth7/4(Port7)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"7\" ,\\n            \"lanes\": \"116\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet56\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth8/1(Port8)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"8\" ,\\n            \"lanes\": \"121\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet57\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth8/2(Port8)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"8\" ,\\n            \"lanes\": \"122\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet58\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth8/3(Port8)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"8\" ,\\n            \"lanes\": \"123\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet59\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth8/4(Port8)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"8\" ,\\n            \"lanes\": \"124\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet64\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth9/1(Port9)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"9\" ,\\n            \"lanes\": \"41\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet65\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth9/2(Port9)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"9\" ,\\n            \"lanes\": \"42\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet66\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth9/3(Port9)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"9\" ,\\n            \"lanes\": \"43\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet67\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth9/4(Port9)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"9\" ,\\n            \"lanes\": \"44\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet72\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth10/1(Port10)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"10\" ,\\n            \"lanes\": \"33\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet73\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth10/2(Port10)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"10\" ,\\n            \"lanes\": \"34\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet74\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth10/3(Port10)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"10\" ,\\n            \"lanes\": \"35\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet75\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth10/4(Port10)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"10\" ,\\n            \"lanes\": \"36\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet80\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth11/1(Port11)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"11\" ,\\n            \"lanes\": \"49\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet81\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth11/2(Port11)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"11\" ,\\n            \"lanes\": \"50\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet82\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth11/3(Port11)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"11\" ,\\n            \"lanes\": \"51\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet83\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth11/4(Port11)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"11\" ,\\n            \"lanes\": \"52\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet88\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth12/1(Port12)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"12\" ,\\n            \"lanes\": \"57\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet89\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth12/2(Port12)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"12\" ,\\n            \"lanes\": \"58\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet90\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth12/3(Port12)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"12\" ,\\n            \"lanes\": \"59\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet91\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth12/4(Port12)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"12\" ,\\n            \"lanes\": \"60\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet96\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth13/1(Port13)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"13\" ,\\n            \"lanes\": \"129\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet97\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth13/2(Port13)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"13\" ,\\n            \"lanes\": \"130\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet98\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth13/3(Port13)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"13\" ,\\n            \"lanes\": \"131\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet99\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth13/4(Port13)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"13\" ,\\n            \"lanes\": \"132\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet104\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth14/1(Port14)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"14\" ,\\n            \"lanes\": \"137\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet105\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth14/2(Port14)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"14\" ,\\n            \"lanes\": \"138\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet106\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth14/3(Port14)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"14\" ,\\n            \"lanes\": \"139\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet107\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth14/4(Port14)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"14\" ,\\n            \"lanes\": \"140\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet112\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth15/1(Port15)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"15\" ,\\n            \"lanes\": \"145\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet113\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth15/2(Port15)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"15\" ,\\n            \"lanes\": \"146\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet114\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth15/3(Port15)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"15\" ,\\n            \"lanes\": \"147\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet115\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth15/4(Port15)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"15\" ,\\n            \"lanes\": \"148\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet120\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth16/1(Port16)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"16\" ,\\n            \"lanes\": \"153\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet121\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth16/2(Port16)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"16\" ,\\n            \"lanes\": \"154\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet122\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth16/3(Port16)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"16\" ,\\n            \"lanes\": \"155\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet123\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth16/4(Port16)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"16\" ,\\n            \"lanes\": \"156\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet128\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth17/1(Port17)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"17\" ,\\n            \"lanes\": \"169\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet129\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth17/2(Port17)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"17\" ,\\n            \"lanes\": \"170\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet130\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth17/3(Port17)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"17\" ,\\n            \"lanes\": \"171\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet131\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth17/4(Port17)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"17\" ,\\n            \"lanes\": \"172\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet136\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth18/1(Port18)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"18\" ,\\n            \"lanes\": \"161\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet137\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth18/2(Port18)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"18\" ,\\n            \"lanes\": \"162\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet138\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth18/3(Port18)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"18\" ,\\n            \"lanes\": \"163\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet139\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth18/4(Port18)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"18\" ,\\n            \"lanes\": \"164\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"25000\"\\n        },  \\n        \"Ethernet144\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth19/1(Port19)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"19\" ,\\n            \"lanes\": \"177,178\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"100000\"\\n        },  \\n        \"Ethernet146\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth19/2(Port19)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"19\" ,\\n            \"lanes\": \"179,180\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"100000\"\\n        },  \\n        \"Ethernet148\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth19/3(Port19)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"19\" ,\\n            \"lanes\": \"181,182\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"100000\"\\n        },  \\n        \"Ethernet150\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth19/4(Port19)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"19\" ,\\n            \"lanes\": \"183,184\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"100000\"\\n        },  \\n        \"Ethernet152\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth20/1(Port20)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"20\" ,\\n            \"lanes\": \"185,186\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"100000\"\\n        },  \\n        \"Ethernet154\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth20/2(Port20)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"20\" ,\\n            \"lanes\": \"187,188\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"100000\"\\n        },  \\n        \"Ethernet156\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth20/3(Port20)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"20\" ,\\n            \"lanes\": \"189,190\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"100000\"\\n        },  \\n        \"Ethernet158\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth20/4(Port20)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"20\" ,\\n            \"lanes\": \"191,192\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"100000\"\\n        },  \\n        \"Ethernet160\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth21/1(Port21)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"21\" ,\\n            \"lanes\": \"1,2\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"100000\"\\n        },  \\n        \"Ethernet162\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth21/2(Port21)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"21\" ,\\n            \"lanes\": \"3,4\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"100000\"\\n        },  \\n        \"Ethernet164\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth21/3(Port21)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"21\" ,\\n            \"lanes\": \"5,6\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"100000\"\\n        },  \\n        \"Ethernet166\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth21/4(Port21)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"21\" ,\\n            \"lanes\": \"7,8\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"100000\"\\n        },  \\n        \"Ethernet168\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth22/1(Port22)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"22\" ,\\n            \"lanes\": \"9,10\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"100000\"\\n        },  \\n        \"Ethernet170\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth22/2(Port22)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"22\" ,\\n            \"lanes\": \"11,12\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"100000\"\\n        },  \\n        \"Ethernet172\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth22/3(Port22)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"22\" ,\\n            \"lanes\": \"13,14\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"100000\"\\n        },  \\n        \"Ethernet174\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth22/4(Port22)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"22\" ,\\n            \"lanes\": \"15,16\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"100000\"\\n        },  \\n        \"Ethernet176\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth23/1(Port23)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"23\" ,\\n            \"lanes\": \"17,18\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"100000\"\\n        },  \\n        \"Ethernet178\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth23/2(Port23)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"23\" ,\\n            \"lanes\": \"19,20\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"100000\"\\n        },  \\n        \"Ethernet180\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth23/3(Port23)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"23\" ,\\n            \"lanes\": \"21,22\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"100000\"\\n        },  \\n        \"Ethernet182\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth23/4(Port23)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"23\" ,\\n            \"lanes\": \"23,24\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"100000\"\\n        },  \\n        \"Ethernet184\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth24/1(Port24)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"24\" ,\\n            \"lanes\": \"25\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"10000\"\\n        },  \\n        \"Ethernet185\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth24/2(Port24)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"24\" ,\\n            \"lanes\": \"26\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"10000\"\\n        },  \\n        \"Ethernet186\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth24/3(Port24)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"24\" ,\\n            \"lanes\": \"27\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"10000\"\\n        },  \\n        \"Ethernet187\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth24/4(Port24)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"24\" ,\\n            \"lanes\": \"28\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"10000\"\\n        },  \\n        \"Ethernet192\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth25/1(Port25)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"25\" ,\\n            \"lanes\": \"201,202,203,204\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"100000\"\\n        },  \\n        \"Ethernet200\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth26/1(Port26)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"26\" ,\\n            \"lanes\": \"193,194,195,196\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"100000\"\\n        },  \\n        \"Ethernet208\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth27/1(Port27)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"27\" ,\\n            \"lanes\": \"217,218,219,220\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"100000\"\\n        },  \\n        \"Ethernet216\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth28/1(Port28)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"28\" ,\\n            \"lanes\": \"209,210,211,212\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"100000\"\\n        },  \\n        \"Ethernet224\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth29/1(Port29)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"29\" ,\\n            \"lanes\": \"233,234,235,236,237,238,239,240\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"400000\"\\n        },  \\n        \"Ethernet232\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth30/1(Port30)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"30\" ,\\n            \"lanes\": \"225,226,227,228,229,230,231,232\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"400000\"\\n        },  \\n        \"Ethernet240\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth31/1(Port31)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"31\" ,\\n            \"lanes\": \"249,250,251,252,253,254,255,256\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"400000\"\\n        },  \\n        \"Ethernet248\": { \\n            \"admin_status\": \"up\",\\n            \"alias\": \"Eth32/1(Port32)\",\\n            \"autoneg\": \"off\",\\n            \"fec\": \"rs\", \\n            \"index\": \"32\" ,\\n            \"lanes\": \"241,242,243,244,245,246,247,248\",\\n            \"link_training\": \"off\",\\n            \"mtu\": \"9100\", \\n            \"speed\": \"400000\"\\n        } \\n    },\\n    \"REST_SERVER\": {\\n        \"default\": {\\n            \"client_auth\": \"user\"\\n        }\\n    },\\n    \"SFLOW\": {\\n        \"global\": {\\n            \"admin_state\": \"up\",\\n            \"agent_id\": \"Vlan1\",\\n            \"polling_interval\": \"20\"\\n        }\\n    },\\n    \"SFLOW_COLLECTOR\": {\\n        \"netdevbox\": {\\n            \"collector_ip\": \"10.254.141.5\",\\n            \"collector_port\": \"6343\",\\n            \"collector_vrf\": \"default\"\\n        }\\n    },\\n    \"SFLOW_SESSION\": {\\n        \"Ethernet0\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet1\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet2\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet3\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet8\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet9\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet10\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet11\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet16\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet17\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet18\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet19\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet24\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet25\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet26\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet27\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet32\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet33\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet34\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet35\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet40\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet41\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet42\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet43\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet48\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet49\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet50\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet51\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet56\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet57\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet58\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet59\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet64\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet65\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet66\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet67\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet72\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet73\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet74\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet75\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet80\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet81\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet82\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet83\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet88\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet89\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet90\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet91\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet96\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet97\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet98\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet99\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet104\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet105\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet106\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet107\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet112\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet113\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet114\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet115\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet120\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet121\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet122\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet123\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet128\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet129\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet130\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet131\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet136\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet137\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet138\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet139\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet144\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet146\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet148\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet150\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet152\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet154\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet156\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet158\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet160\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet162\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet164\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet166\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet168\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet170\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet172\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet174\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet176\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet178\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet180\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet182\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet184\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet185\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet186\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet187\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet192\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet200\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet208\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet216\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet224\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet232\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet240\": {\\n            \"admin_state\": \"up\"\\n        },  \\n        \"Ethernet248\": {\\n            \"admin_state\": \"up\"\\n        } \\n    },\\n    \"SNMP\": {\\n        \"LOCATION\": {\\n            \"Location\": \"public\"\\n        }\\n    },\\n    \"SNMP_COMMUNITY\": {\\n        \"public\": {\\n            \"TYPE\": \"RO\"\\n        }\\n    },\\n    \"VERSIONS\": {\\n        \"DATABASE\": {\\n            \"VERSION\": \"version_2_0_4\"\\n        }\\n    },\\n    \"VLAN\": { \\n        \"Vlan1\": {\\n            \"dhcp_relay_src_intf\": \"Loopback0\",\\n            \"dhcp_servers\": [   \\n            \"10.254.141.17\"\\n            ],\\n            \"vlanid\": \"1\"\\n        }\\n    },\\n    \"VLAN_INTERFACE\": {\\n        \"Vlan1\": {},\\n        \"Vlan1|10.254.148.1/25\": {} \\n    },\\n    \"VLAN_MEMBER\": {\\n        \"Vlan1|Ethernet0\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet1\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet2\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet3\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet8\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet9\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet10\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet11\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet16\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet17\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet18\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet19\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet24\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet25\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet26\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet27\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet32\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet33\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet34\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet35\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet40\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet41\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet42\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet43\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet48\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet49\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet50\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet51\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet56\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet57\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet58\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet59\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet64\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet65\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet66\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet67\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet72\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet73\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet74\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet75\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet80\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet81\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet82\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet83\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet88\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet89\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet90\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet91\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet96\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet97\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet98\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet99\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet104\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet105\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet106\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet107\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet112\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet113\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet114\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet115\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet120\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet121\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet122\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet123\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet128\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet129\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet130\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet131\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet136\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet137\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet138\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet139\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet144\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet146\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet148\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet150\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet152\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet154\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet156\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet158\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet160\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet162\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet164\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet166\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet168\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet170\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet172\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet174\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet176\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet178\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet180\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet182\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet184\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet185\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet186\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet187\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet192\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet200\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet208\": {\\n            \"tagging_mode\": \"untagged\"\\n        }, \\n        \"Vlan1|Ethernet216\": {\\n            \"tagging_mode\": \"untagged\"\\n        } \\n    },\\n    \"XCVRD_LOG\": {\\n        \"Y_CABLE\": {\\n            \"log_verbosity\": \"notice\"\\n        }\\n    }\\n}'"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os\n",
    "os.environ[\"DJANGO_ALLOW_ASYNC_UNSAFE\"] = \"true\" \n",
    "\n",
    "from django.contrib.auth.models import User\n",
    "\n",
    "from dcim.models import *\n",
    "from extras.models import *\n",
    "\n",
    "User.objects.all()\n",
    "sonic_device = Device.objects.get(name=\"1133-101-RA\")\n",
    "\n",
    "context_data = sonic_device.get_config_context()\n",
    "context_data. update({ 'device': sonic_device})\n",
    "config_template = sonic_device.get_config_template()\n",
    "config_template.render (context_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SONiC Uplink Port Info for 1133-102-RA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index: 29/1(Port29)\n",
      "MTU: 9100\n",
      "Ethernet224 10.254.140.233/31\n",
      "Lanes: 233,234,235,236,237,238,239,240\n",
      "\n",
      "Index: 30/1(Port30)\n",
      "MTU: 9100\n",
      "Ethernet232 10.254.140.243/31\n",
      "Lanes: 225,226,227,228,229,230,231,232\n",
      "\n",
      "Index: 31/1(Port31)\n",
      "MTU: 9100\n",
      "Ethernet240 10.254.140.235/31\n",
      "Lanes: 249,250,251,252,253,254,255,256\n",
      "\n",
      "Index: 32/1(Port32)\n",
      "MTU: 9100\n",
      "Ethernet248 10.254.140.241/31\n",
      "Lanes: 241,242,243,244,245,246,247,248\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for interface in sonic_device.interfaces.filter(ip_addresses__isnull=False, name__contains='Eth'):\n",
    "    print(\"Index: \" + interface.label.split(\"Eth\")[1].split(\"-\")[0])\n",
    "    print(\"MTU: \" + str(interface.mtu))\n",
    "    print(interface.name, interface.ip_addresses.first())\n",
    "    print(\"Lanes: \" + interface.cf['lanes'] + \"\\n\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Interface Breakout Info from NetBox SONiC Device"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ethernet0 (Eth1/1(Port1)): 4x25G[10G](4)\n",
      "Ethernet1 (Eth1/2(Port1)): 4x25G[10G](4)\n",
      "Ethernet2 (Eth1/3(Port1)): 4x25G[10G](4)\n",
      "Ethernet3 (Eth1/4(Port1)): 4x25G[10G](4)\n",
      "Ethernet8 (Eth2/1(Port2)): 4x25G[10G](4)\n",
      "Ethernet9 (Eth2/2(Port2)): 4x25G[10G](4)\n",
      "Ethernet10 (Eth2/3(Port2)): 4x25G[10G](4)\n",
      "Ethernet11 (Eth2/4(Port2)): 4x25G[10G](4)\n",
      "Ethernet16 (Eth3/1(Port3)): 4x25G[10G](4)\n",
      "Ethernet17 (Eth3/2(Port3)): 4x25G[10G](4)\n",
      "Ethernet18 (Eth3/3(Port3)): 4x25G[10G](4)\n",
      "Ethernet19 (Eth3/4(Port3)): 4x25G[10G](4)\n",
      "Ethernet24 (Eth4/1(Port4)): 4x25G[10G](4)\n",
      "Ethernet25 (Eth4/2(Port4)): 4x25G[10G](4)\n",
      "Ethernet26 (Eth4/3(Port4)): 4x25G[10G](4)\n",
      "Ethernet27 (Eth4/4(Port4)): 4x25G[10G](4)\n",
      "Ethernet32 (Eth5/1(Port5)): 4x25G[10G](4)\n",
      "Ethernet33 (Eth5/2(Port5)): 4x25G[10G](4)\n",
      "Ethernet34 (Eth5/3(Port5)): 4x25G[10G](4)\n",
      "Ethernet35 (Eth5/4(Port5)): 4x25G[10G](4)\n",
      "Ethernet40 (Eth6/1(Port6)): 4x25G[10G](4)\n",
      "Ethernet41 (Eth6/2(Port6)): 4x25G[10G](4)\n",
      "Ethernet42 (Eth6/3(Port6)): 4x25G[10G](4)\n",
      "Ethernet43 (Eth6/4(Port6)): 4x25G[10G](4)\n",
      "Ethernet48 (Eth7/1(Port7)): 4x25G[10G](4)\n",
      "Ethernet49 (Eth7/2(Port7)): 4x25G[10G](4)\n",
      "Ethernet50 (Eth7/3(Port7)): 4x25G[10G](4)\n",
      "Ethernet51 (Eth7/4(Port7)): 4x25G[10G](4)\n",
      "Ethernet56 (Eth8/1(Port8)): 4x25G[10G](4)\n",
      "Ethernet57 (Eth8/2(Port8)): 4x25G[10G](4)\n",
      "Ethernet58 (Eth8/3(Port8)): 4x25G[10G](4)\n",
      "Ethernet59 (Eth8/4(Port8)): 4x25G[10G](4)\n",
      "Ethernet64 (Eth9/1(Port9)): 4x25G[10G](4)\n",
      "Ethernet65 (Eth9/2(Port9)): 4x25G[10G](4)\n",
      "Ethernet66 (Eth9/3(Port9)): 4x25G[10G](4)\n",
      "Ethernet67 (Eth9/4(Port9)): 4x25G[10G](4)\n",
      "Ethernet72 (Eth10/1(Port10)): 4x25G[10G](4)\n",
      "Ethernet73 (Eth10/2(Port10)): 4x25G[10G](4)\n",
      "Ethernet74 (Eth10/3(Port10)): 4x25G[10G](4)\n",
      "Ethernet75 (Eth10/4(Port10)): 4x25G[10G](4)\n",
      "Ethernet80 (Eth11/1(Port11)): 4x25G[10G](4)\n",
      "Ethernet81 (Eth11/2(Port11)): 4x25G[10G](4)\n",
      "Ethernet82 (Eth11/3(Port11)): 4x25G[10G](4)\n",
      "Ethernet83 (Eth11/4(Port11)): 4x25G[10G](4)\n",
      "Ethernet88 (Eth12/1(Port12)): 4x25G[10G](4)\n",
      "Ethernet89 (Eth12/2(Port12)): 4x25G[10G](4)\n",
      "Ethernet90 (Eth12/3(Port12)): 4x25G[10G](4)\n",
      "Ethernet91 (Eth12/4(Port12)): 4x25G[10G](4)\n",
      "Ethernet96 (Eth13/1(Port13)): 4x25G[10G](4)\n",
      "Ethernet97 (Eth13/2(Port13)): 4x25G[10G](4)\n",
      "Ethernet98 (Eth13/3(Port13)): 4x25G[10G](4)\n",
      "Ethernet99 (Eth13/4(Port13)): 4x25G[10G](4)\n",
      "Ethernet104 (Eth14/1(Port14)): 4x25G[10G](4)\n",
      "Ethernet105 (Eth14/2(Port14)): 4x25G[10G](4)\n",
      "Ethernet106 (Eth14/3(Port14)): 4x25G[10G](4)\n",
      "Ethernet107 (Eth14/4(Port14)): 4x25G[10G](4)\n",
      "Ethernet112 (Eth15/1(Port15)): 4x25G[10G](4)\n",
      "Ethernet113 (Eth15/2(Port15)): 4x25G[10G](4)\n",
      "Ethernet114 (Eth15/3(Port15)): 4x25G[10G](4)\n",
      "Ethernet115 (Eth15/4(Port15)): 4x25G[10G](4)\n",
      "Ethernet120 (Eth16/1(Port16)): 4x25G[10G](4)\n",
      "Ethernet121 (Eth16/2(Port16)): 4x25G[10G](4)\n",
      "Ethernet122 (Eth16/3(Port16)): 4x25G[10G](4)\n",
      "Ethernet123 (Eth16/4(Port16)): 4x25G[10G](4)\n",
      "Ethernet128 (Eth17/1(Port17)): 4x25G[10G](4)\n",
      "Ethernet129 (Eth17/2(Port17)): 4x25G[10G](4)\n",
      "Ethernet130 (Eth17/3(Port17)): 4x25G[10G](4)\n",
      "Ethernet131 (Eth17/4(Port17)): 4x25G[10G](4)\n",
      "Ethernet136 (Eth18/1(Port18)): 4x25G[10G](4)\n",
      "Ethernet137 (Eth18/2(Port18)): 4x25G[10G](4)\n",
      "Ethernet138 (Eth18/3(Port18)): 4x25G[10G](4)\n",
      "Ethernet139 (Eth18/4(Port18)): 4x25G[10G](4)\n",
      "Ethernet144 (Eth19/1(Port19)): 1x400G[100G]\n",
      "Ethernet146 (Eth19/2(Port19)): 1x400G[100G]\n",
      "Ethernet148 (Eth19/3(Port19)): 1x400G[100G]\n",
      "Ethernet150 (Eth19/4(Port19)): 1x400G[100G]\n",
      "Ethernet152 (Eth20/1(Port20)): 1x400G[100G]\n",
      "Ethernet154 (Eth20/2(Port20)): 1x400G[100G]\n",
      "Ethernet156 (Eth20/3(Port20)): 1x400G[100G]\n",
      "Ethernet158 (Eth20/4(Port20)): 1x400G[100G]\n",
      "Ethernet160 (Eth21/1(Port21)): 1x400G[100G]\n",
      "Ethernet162 (Eth21/2(Port21)): 1x400G[100G]\n",
      "Ethernet164 (Eth21/3(Port21)): 1x400G[100G]\n",
      "Ethernet166 (Eth21/4(Port21)): 1x400G[100G]\n",
      "Ethernet168 (Eth22/1(Port22)): 1x400G[100G]\n",
      "Ethernet170 (Eth22/2(Port22)): 1x400G[100G]\n",
      "Ethernet172 (Eth22/3(Port22)): 1x400G[100G]\n",
      "Ethernet174 (Eth22/4(Port22)): 1x400G[100G]\n",
      "Ethernet176 (Eth23/1(Port23)): 1x400G[100G]\n",
      "Ethernet178 (Eth23/2(Port23)): 1x400G[100G]\n",
      "Ethernet180 (Eth23/3(Port23)): 1x400G[100G]\n",
      "Ethernet182 (Eth23/4(Port23)): 1x400G[100G]\n",
      "Ethernet184 (Eth24/1(Port24)): 4x25G[10G](4)\n",
      "Ethernet185 (Eth24/2(Port24)): 4x25G[10G](4)\n",
      "Ethernet186 (Eth24/3(Port24)): 4x25G[10G](4)\n",
      "Ethernet187 (Eth24/4(Port24)): 4x25G[10G](4)\n",
      "Ethernet192 (Eth25/1(Port25)): 1x400G[100G]\n",
      "Ethernet200 (Eth26/1(Port26)): 1x400G[100G]\n",
      "Ethernet208 (Eth27/1(Port27)): 1x400G[100G]\n",
      "Ethernet216 (Eth28/1(Port28)): 1x400G[100G]\n",
      "Ethernet224 (Eth29/1(Port29)): 1x400G[100G]\n",
      "Ethernet232 (Eth30/1(Port30)): 1x400G[100G]\n",
      "Ethernet240 (Eth31/1(Port31)): 1x400G[100G]\n",
      "Ethernet248 (Eth32/1(Port32)): 1x400G[100G]\n"
     ]
    }
   ],
   "source": [
    "\n",
    "for interface in sonic_device.interfaces.filter(name__contains='Ethernet'):\n",
    "    if interface.type == '25gbase-x-sfp28':\n",
    "        print(f\"{interface}: 4x25G[10G](4)\")\n",
    "    elif interface.type == '10gbase-x-sfpp':\n",
    "        print(f\"{interface}: 4x25G[10G](4)\")\n",
    "    elif interface.type == '100gbase-x-qsfp28':\n",
    "        print(f\"{interface}: 1x400G[100G]\")\n",
    "    elif interface.type == '100gbase-x-qsfpdd':\n",
    "        print(f\"{interface}: 4x100G\")\n",
    "    elif interface.type == '400gbase-x-qsfpdd':\n",
    "        print(f\"{interface}: 1x400G[100G]\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Vlan Info and members"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Vlan1\n"
     ]
    }
   ],
   "source": [
    "vlan_number = sonic_device.interfaces.get(name__contains='Vlan')\n",
    "print(f\"{vlan_number}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Vlan1 Interface: 10.254.148.1/25\n"
     ]
    }
   ],
   "source": [
    "for interface in sonic_device.interfaces.filter(ip_addresses__isnull=False, name__contains='Vlan')[:1]:\n",
    "    print(f\"{vlan_number} Interface: {interface.ip_addresses.first()}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Vlan1 Members:\n",
      "\n",
      "Ethernet0\n",
      "Ethernet1\n",
      "Ethernet2\n",
      "Ethernet3\n",
      "Ethernet8\n",
      "Ethernet9\n",
      "Ethernet10\n",
      "Ethernet11\n",
      "Ethernet16\n",
      "Ethernet17\n",
      "Ethernet18\n",
      "Ethernet19\n",
      "Ethernet24\n",
      "Ethernet25\n",
      "Ethernet26\n",
      "Ethernet27\n",
      "Ethernet32\n",
      "Ethernet33\n",
      "Ethernet34\n",
      "Ethernet35\n",
      "Ethernet40\n",
      "Ethernet41\n",
      "Ethernet42\n",
      "Ethernet43\n",
      "Ethernet48\n",
      "Ethernet49\n",
      "Ethernet50\n",
      "Ethernet51\n",
      "Ethernet56\n",
      "Ethernet57\n",
      "Ethernet58\n",
      "Ethernet59\n",
      "Ethernet64\n",
      "Ethernet65\n",
      "Ethernet66\n",
      "Ethernet67\n",
      "Ethernet72\n",
      "Ethernet73\n",
      "Ethernet74\n",
      "Ethernet75\n",
      "Ethernet80\n",
      "Ethernet81\n",
      "Ethernet82\n",
      "Ethernet83\n",
      "Ethernet88\n",
      "Ethernet89\n",
      "Ethernet90\n",
      "Ethernet91\n",
      "Ethernet96\n",
      "Ethernet97\n",
      "Ethernet98\n",
      "Ethernet99\n",
      "Ethernet104\n",
      "Ethernet105\n",
      "Ethernet106\n",
      "Ethernet107\n",
      "Ethernet112\n",
      "Ethernet113\n",
      "Ethernet114\n",
      "Ethernet115\n",
      "Ethernet120\n",
      "Ethernet121\n",
      "Ethernet122\n",
      "Ethernet123\n",
      "Ethernet128\n",
      "Ethernet129\n",
      "Ethernet130\n",
      "Ethernet131\n",
      "Ethernet136\n",
      "Ethernet137\n",
      "Ethernet138\n",
      "Ethernet139\n",
      "Ethernet144\n",
      "Ethernet146\n",
      "Ethernet148\n",
      "Ethernet150\n",
      "Ethernet152\n",
      "Ethernet154\n",
      "Ethernet156\n",
      "Ethernet158\n",
      "Ethernet160\n",
      "Ethernet162\n",
      "Ethernet164\n",
      "Ethernet166\n",
      "Ethernet168\n",
      "Ethernet170\n",
      "Ethernet172\n",
      "Ethernet174\n",
      "Ethernet176\n",
      "Ethernet178\n",
      "Ethernet180\n",
      "Ethernet182\n",
      "Ethernet184\n",
      "Ethernet185\n",
      "Ethernet186\n",
      "Ethernet187\n",
      "Ethernet192\n",
      "Ethernet200\n",
      "Ethernet208\n",
      "Ethernet216\n"
     ]
    }
   ],
   "source": [
    "print(f\"{vlan_number} Members:\\n\")\n",
    "\n",
    "for eth_interface in sonic_device.interfaces.filter(name__contains='Eth', mode='access'):\n",
    "    print(eth_interface.name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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