Netbox Worker

NetboxWorker(inventory, broker, worker_name, exit_event=None, init_done_event=None, log_level: str = None, log_queue: object = None)

Bases: NFPWorker, NetboxGraphqlTasks, NetboxDesignTasks, NetboxInterfacesTasks, NetboxDevicesTasks, NetboxConnectionsTasks, NetboxCircuitsTasks, NetboxNornirInventoryTasks, NetboxBgpPeeringsTasks, NetboxPrefixTasks, NetboxContainerlabInventoryTasks, NetboxIpTasks, NetboxBranchTasks, NetboxCrudTasks

NetboxWorker class for interacting with Netbox API and managing inventory.

Parameters:

Name	Type	Description	Default
inventory	dict	The inventory data.	required
broker	object	The broker instance.	required
worker_name	str	The name of the worker.	required
exit_event	Event	Event to signal exit.	None
init_done_event	Event	Event to signal initialization completion.	None
log_level	int	Logging level.	None
log_queue	object	Queue for logging.	None

Raises:

Type	Description
AssertionError	If the inventory has no Netbox instances.

Attributes:

Name	Type	Description
default_instance	str	Default Netbox instance name.
inventory	dict	Inventory data.
nb_version	tuple	Netbox version.
compatible_ge_v4	tuple	Minimum supported Netbox v4 version (4.4.0+).

Source code in norfab\workers\netbox_worker\netbox_worker.py

def __init__(
    self,
    inventory,
    broker,
    worker_name,
    exit_event=None,
    init_done_event=None,
    log_level: str = None,
    log_queue: object = None,
) -> None:
    super().__init__(
        inventory, broker, SERVICE, worker_name, exit_event, log_level, log_queue
    )
    self.init_done_event = init_done_event
    self.cache = None

    # get inventory from broker
    self.netbox_inventory = self.load_inventory()
    if not self.netbox_inventory:
        log.critical(
            f"{self.name} - Broker {self.broker} returned no inventory for {self.name}, killing myself..."
        )
        self.destroy()

    assert self.netbox_inventory.get(
        "instances"
    ), f"{self.name} - inventory has no Netbox instances"

    # extract parameters from imvemtory
    self.netbox_connect_timeout = self.netbox_inventory.get(
        "netbox_connect_timeout", 10
    )
    self.netbox_read_timeout = self.netbox_inventory.get("netbox_read_timeout", 300)
    self.cache_use = self.netbox_inventory.get("cache_use", True)
    self.cache_ttl = self.netbox_inventory.get("cache_ttl", 31557600)  # 1 Year
    self.branch_create_timeout = self.netbox_inventory.get(
        "branch_create_timeout", 120
    )
    self.grapqhl_max_workers = self.netbox_inventory.get("grapqhl_max_workers", 4)

    # find default instance
    for name, params in self.netbox_inventory["instances"].items():
        if params.get("default") is True:
            self.default_instance = name
            break
    else:
        self.default_instance = name

    log.info(f"{self.name} - Default Netbox instance: '{self.default_instance}'")

    # check Netbox compatibility
    self._verify_compatibility()

    # instantiate cache
    self.cache_dir = os.path.join(self.base_dir, "cache")
    os.makedirs(self.cache_dir, exist_ok=True)
    self.cache = self._get_diskcache()

    self.init_done_event.set()
    log.info(f"{self.name} - Started")

worker_exit() -> None

Worker exist sanity checks. Closes the cache if it exists.

This method checks if the cache attribute is present and not None. If the cache exists, it closes the cache to release any resources associated with it.

Source code in norfab\workers\netbox_worker\netbox_worker.py

def worker_exit(self) -> None:
    """
    Worker exist sanity checks. Closes the cache if it exists.

    This method checks if the cache attribute is present and not None.
    If the cache exists, it closes the cache to release any resources
    associated with it.
    """
    if self.cache:
        self.cache.close()

get_inventory() -> Result

NorFab Task to return running inventory for NetBox worker.

Returns:

Name	Type	Description
dict	Result	A dictionary containing the NetBox inventory.

Source code in norfab\workers\netbox_worker\netbox_worker.py

@Task(fastapi={"methods": ["GET"], "schema": NetboxFastApiArgs.model_json_schema()})
def get_inventory(self) -> Result:
    """
    NorFab Task to return running inventory for NetBox worker.

    Returns:
        dict: A dictionary containing the NetBox inventory.
    """
    return Result(
        task=f"{self.name}:get_inventory", result=dict(self.netbox_inventory)
    )

get_version(**kwargs: Any) -> Result

Retrieves the version information of Netbox instances.

Returns:

Name	Type	Description
dict	Result	A dictionary containing the version information of the Netbox

Source code in norfab\workers\netbox_worker\netbox_worker.py

@Task(fastapi={"methods": ["GET"], "schema": NetboxFastApiArgs.model_json_schema()})
def get_version(self, **kwargs: Any) -> Result:
    """
    Retrieves the version information of Netbox instances.

    Returns:
        dict: A dictionary containing the version information of the Netbox
    """
    libs = {
        "norfab": "",
        "pynetbox": "",
        "requests": "",
        "python": sys.version.split(" ")[0],
        "platform": sys.platform,
        "diskcache": "",
        "netbox_version": self.nb_version,
    }
    # get version of packages installed
    for pkg in libs.keys():
        try:
            libs[pkg] = importlib.metadata.version(pkg)
        except importlib.metadata.PackageNotFoundError:
            pass

    return Result(task=f"{self.name}:get_version", result=libs)

get_netbox_status(instance: Union[None, str] = None) -> Result

Retrieve the status of NetBox instances.

This method queries the status of a specific NetBox instance if the instance parameter is provided. If no instance is specified, it queries the status of all instances in the NetBox inventory.

Parameters:

Name	Type	Description	Default
instance	str	The name of the specific NetBox instance to query.	None

Returns:

Name	Type	Description
dict	Result	A dictionary containing the status of the requested NetBox instance(s).

Source code in norfab\workers\netbox_worker\netbox_worker.py

@Task(fastapi={"methods": ["GET"], "schema": NetboxFastApiArgs.model_json_schema()})
def get_netbox_status(self, instance: Union[None, str] = None) -> Result:
    """
    Retrieve the status of NetBox instances.

    This method queries the status of a specific NetBox instance if the
    `instance` parameter is provided. If no instance is specified, it
    queries the status of all instances in the NetBox inventory.

    Args:
        instance (str, optional): The name of the specific NetBox instance to query.

    Returns:
        dict: A dictionary containing the status of the requested NetBox
              instance(s).
    """
    ret = Result(result={}, task=f"{self.name}:get_netbox_status")
    if instance:
        log.info(f"{self.name} - fetching '{instance}' Netbox status")
        ret.result[instance] = self._query_netbox_status(instance)
    else:
        for name in self.netbox_inventory["instances"].keys():
            log.info(f"{self.name} - fetching '{name}' Netbox status")
            ret.result[name] = self._query_netbox_status(name)
    log.info(f"{self.name} - Netbox instance(s) status retrieval completed")
    return ret

get_compatibility(job: Job) -> Result

Checks the compatibility of Netbox instances based on their version.

This method retrieves the status and version of Netbox instances and determines if they are compatible with the required versions. It logs a warning if any instance is not reachable.

Parameters:

Name	Type	Description	Default
job	Job	NorFab Job object containing relevant metadata	required

Returns:

Name	Type	Description
dict	Result	A dictionary where the keys are the instance names and the values are booleans indicating compatibility (True/False) or None if the instance is not reachable.

Source code in norfab\workers\netbox_worker\netbox_worker.py

@Task(fastapi={"methods": ["GET"], "schema": NetboxFastApiArgs.model_json_schema()})
def get_compatibility(self, job: Job) -> Result:
    """
    Checks the compatibility of Netbox instances based on their version.

    This method retrieves the status and version of Netbox instances and determines
    if they are compatible with the required versions. It logs a warning if any
    instance is not reachable.

    Args:
        job: NorFab Job object containing relevant metadata

    Returns:
        dict: A dictionary where the keys are the instance names and the values are
              booleans indicating compatibility (True/False) or None if the instance
              is not reachable.
    """
    ret = Result(task=f"{self.name}:get_compatibility", result={})
    netbox_status = self.get_netbox_status(job=job)
    for instance, params in netbox_status.result.items():
        if params["status"] is not True:
            log.warning(f"{self.name} - {instance} Netbox instance not reachable")
            job.event(f"instance '{instance}' is not reachable")
            ret.result[instance] = None
        else:
            if "-docker-" in params["netbox-version"].lower():
                self.nb_version[instance] = tuple(
                    [
                        int(i)
                        for i in params["netbox-version"]
                        .lower()
                        .split("-docker-")[0]
                        .split(".")
                    ]
                )
            else:
                self.nb_version[instance] = tuple(
                    [int(i) for i in params["netbox-version"].split(".")]
                )
            # check Netbox 4.4+ compatibility
            if self.nb_version[instance] >= self.compatible_ge_v4:
                ret.result[instance] = True
                msg = f"instance '{instance}' version {'.'.join(str(v) for v in self.nb_version[instance])} is compatible"
                log.info(msg)
                job.event(msg)
            else:
                ret.result[instance] = False
                msg = (
                    f"{self.name} - {instance} Netbox version {self.nb_version[instance]} is not supported, "
                    f"minimum required version is {self.compatible_ge_v4}"
                )
                log.error(msg)
                job.event(msg)

    return ret

has_plugin(plugin_name: str, instance: str, strict: bool = False) -> bool

Check if a specified plugin is installed in a given NetBox instance.

Parameters:

Name	Type	Description	Default
plugin_name	str	The name of the plugin to check for.	required
instance	str	The identifier or address of the NetBox instance.	required
strict	bool	If True, raises a RuntimeError when the plugin is not found.	False

Returns:

Name	Type	Description
bool	bool	True if the plugin is installed, False otherwise.

Source code in norfab\workers\netbox_worker\netbox_worker.py

def has_plugin(self, plugin_name: str, instance: str, strict: bool = False) -> bool:
    """
    Check if a specified plugin is installed in a given NetBox instance.

    Args:
        plugin_name (str): The name of the plugin to check for.
        instance (str): The identifier or address of the NetBox instance.
        strict (bool, optional): If True, raises a RuntimeError when the plugin is not found.

    Returns:
        bool: True if the plugin is installed, False otherwise.
    """
    nb_status = self._query_netbox_status(instance)

    if plugin_name in nb_status["plugins"]:
        return True
    elif strict is True:
        raise RuntimeError(
            f"'{instance}' Netbox instance has no '{plugin_name}' plugin installed"
        )

    return False

make_diff(source_data: dict, target_data: dict) -> dict

Compute an actionable diff between two nested dictionaries and classify each entity as create, delete, update, or in_sync.

Both arguments share the same two-level structure: the outer key typically is a device name and the inner key is a unique entity identifier (name, slug, or any hashable value). The inner value is a flat dict of comparable fields:

{
    "<device_name>": {
        "<entity_id>": {<field>: <value>, ...},
    }
}

source_data represents the desired or discovered state (e.g. live device data), while target_data represents the current state stored in the target system (e.g. NetBox). Entities present in source_data but absent from target_data are classified as create; entities present in target_data but absent from source_data are classified as delete; entities present in both with differing field values are classified as update; identical entities are in_sync.

Parameters:

Name	Type	Description	Default
source_data	dict	Nested dict representing the discovered/live state. Outer key is the device name; inner key is the entity identifier; value is a flat dict of entity fields.	required
target_data	dict	Nested dict representing the desired/managed state. Same structure as source_data.	required

Returns:

Name	Type	Description
dict	dict	Keyed by group name, each value contains:
	dict	create (list[str]): Entity identifiers to be created.
	dict	delete (list[str]): Entity identifiers to be deleted.
	dict	update (dict): Entities with field-level changes, keyed by entity identifier. Each entry maps changed field names to a dict with old_value (current) and new_value (desired): { "<entity_id>": { "<field>": {"old_value": <current>, "new_value": <desired>} } }
	dict	in_sync (list[str]): Entity identifiers that are identical in both datasets.

Source code in norfab\workers\netbox_worker\netbox_worker.py

def make_diff(
    self,
    source_data: dict,
    target_data: dict,
) -> dict:
    """
    Compute an actionable diff between two nested dictionaries and classify
    each entity as ``create``, ``delete``, ``update``, or ``in_sync``.

    Both arguments share the same two-level structure: the outer key typically is a
    device name and the inner key is a unique entity identifier (name, slug, or any
    hashable value). The inner value is a flat dict of comparable fields:

    ```
    {
        "<device_name>": {
            "<entity_id>": {<field>: <value>, ...},
        }
    }
    ```

    ``source_data`` represents the *desired* or *discovered* state (e.g. live
    device data), while ``target_data`` represents the *current* state stored
    in the target system (e.g. NetBox). Entities present in ``source_data``
    but absent from ``target_data`` are classified as ``create``; entities
    present in ``target_data`` but absent from ``source_data`` are classified
    as ``delete``; entities present in both with differing field values are
    classified as ``update``; identical entities are ``in_sync``.

    Args:
        source_data: Nested dict representing the discovered/live state.
            Outer key is the device name; inner key is the entity identifier;
            value is a flat dict of entity fields.
        target_data: Nested dict representing the desired/managed state.
            Same structure as ``source_data``.

    Returns:
        dict: Keyed by group name, each value contains:

        - ``create`` (list[str]): Entity identifiers to be created.
        - ``delete`` (list[str]): Entity identifiers to be deleted.
        - ``update`` (dict): Entities with field-level changes, keyed by
            entity identifier. Each entry maps changed field names to a dict
            with ``old_value`` (current) and ``new_value`` (desired):

              ```
              {
                  "<entity_id>": {
                      "<field>": {"old_value": <current>, "new_value": <desired>}
                  }
              }
            ```

        - ``in_sync`` (list[str]): Entity identifiers that are identical in
            both datasets.
    """
    result = {}
    diff = DeepDiff(
        target_data,
        source_data,
        ignore_order=True,
        view="tree",
        threshold_to_diff_deeper=0,
    )

    all_devices = set(source_data.keys()) | set(target_data.keys())
    for device_name in all_devices:
        result[device_name] = {
            "create": [],
            "delete": [],
            "update": {},
            "in_sync": [],
        }

    for item in diff.get("dictionary_item_added", []):
        path = item.path(output_format="list")
        if len(path) == 1:
            # Entire device is new in source — all its sessions are missing in target
            device_name = path[0]
            result[device_name]["create"].extend(source_data[device_name].keys())
        elif len(path) == 2:
            # Individual session is new within an existing device
            device_name, sname = path
            result[device_name]["create"].append(sname)

    for item in diff.get("dictionary_item_removed", []):
        path = item.path(output_format="list")
        if len(path) == 1:
            # Entire device is absent in source — all its sessions are missing in source
            device_name = path[0]
            result[device_name]["delete"].extend(target_data[device_name].keys())
        elif len(path) == 2:
            # Individual session removed within an existing device
            device_name, sname = path
            result[device_name]["delete"].append(sname)

    for item in diff.get("values_changed", []):
        path = item.path(output_format="list")
        if len(path) == 3:
            device_name, sname, field = path
            result[device_name]["update"].setdefault(sname, {})[field] = {
                "old_value": item.t1,
                "new_value": item.t2,
            }

    for item in diff.get("type_changes", []):
        path = item.path(output_format="list")
        if len(path) == 3:
            device_name, sname, field = path
            result[device_name]["update"].setdefault(sname, {})[field] = {
                "old_value": item.t1,
                "new_value": item.t2,
            }

    for item in diff.get("iterable_item_added", []):
        path = item.path(output_format="list")
        if len(path) == 4:
            # Item added to a list field within an existing entity
            device_name, sname, field, _ = path
            entity_updates = result[device_name]["update"].setdefault(sname, {})
            if field not in entity_updates:
                entity_updates[field] = {
                    "old_value": target_data[device_name][sname][field],
                    "new_value": source_data[device_name][sname][field],
                }

    for device_name in all_devices:
        result[device_name]["create"] = sorted(result[device_name]["create"])
        result[device_name]["delete"] = sorted(result[device_name]["delete"])

        # calculate in sync entities
        src_entities_keys = set(source_data.get(device_name, {}).keys())
        tgt_entities_keys = set(target_data.get(device_name, {}).keys())
        common = src_entities_keys & tgt_entities_keys
        result[device_name]["in_sync"] = sorted(
            i for i in common if i not in result[device_name]["update"]
        )

    return result

cache_list(keys: str = '*', details: bool = False) -> Result

Retrieve a list of cache keys, optionally with details about each key.

Parameters:

Name	Type	Description	Default
keys	str	A pattern to match cache keys against. Defaults to "*".	'*'
details	bool	If True, include detailed information about each cache key. Defaults to False.	False

Returns:

Name	Type	Description
list	Result	A list of cache keys or a list of dictionaries with detailed information if details is True.

Source code in norfab\workers\netbox_worker\netbox_worker.py

@Task(fastapi={"methods": ["GET"], "schema": NetboxFastApiArgs.model_json_schema()})
def cache_list(self, keys: str = "*", details: bool = False) -> Result:
    """
    Retrieve a list of cache keys, optionally with details about each key.

    Args:
        keys (str): A pattern to match cache keys against. Defaults to "*".
        details (bool): If True, include detailed information about each cache key. Defaults to False.

    Returns:
        list: A list of cache keys or a list of dictionaries with detailed information if `details` is True.
    """
    self.cache.expire()
    ret = Result(task=f"{self.name}:cache_list", result=[])
    for cache_key in self.cache:
        if fnmatchcase(cache_key, keys):
            if details:
                _, expires = self.cache.get(cache_key, expire_time=True)
                expires = datetime.fromtimestamp(expires)
                creation = expires - timedelta(seconds=self.cache_ttl)
                age = datetime.now() - creation
                ret.result.append(
                    {
                        "key": cache_key,
                        "age": str(age),
                        "creation": str(creation),
                        "expires": str(expires),
                    }
                )
            else:
                ret.result.append(cache_key)
    return ret

cache_clear(job: Job, key: str = None, keys: str = None) -> Result

Clears specified keys from the cache.

Parameters:

Name	Type	Description	Default
job	Job	NorFab Job object containing relevant metadata	required
key	str	A specific key to remove from the cache.	None
keys	str	A glob pattern to match multiple keys to remove from the cache.	None

Returns:

Name	Type	Description
list	Result	A list of keys that were successfully removed from the cache.

Raises:

Type	Description
RuntimeError	If a specified key or a key matching the glob pattern could not be removed from the cache.

Notes:

• If neither key nor keys is provided, the function will return a message indicating that there is nothing to clear.
• If key is provided, it will attempt to remove that specific key from the cache.
• If keys is provided, it will attempt to remove all keys matching the glob pattern from the cache.

Source code in norfab\workers\netbox_worker\netbox_worker.py

@Task(
    fastapi={"methods": ["DELETE"], "schema": NetboxFastApiArgs.model_json_schema()}
)
def cache_clear(self, job: Job, key: str = None, keys: str = None) -> Result:
    """
    Clears specified keys from the cache.

    Args:
        job: NorFab Job object containing relevant metadata
        key (str, optional): A specific key to remove from the cache.
        keys (str, optional): A glob pattern to match multiple keys to remove from the cache.

    Returns:
        list: A list of keys that were successfully removed from the cache.

    Raises:
        RuntimeError: If a specified key or a key matching the glob pattern could not be removed from the cache.

    Notes:

    - If neither `key` nor `keys` is provided, the function will return a message indicating that there is nothing to clear.
    - If `key` is provided, it will attempt to remove that specific key from the cache.
    - If `keys` is provided, it will attempt to remove all keys matching the glob pattern from the cache.
    """
    ret = Result(task=f"{self.name}:cache_clear", result=[])
    # check if has keys to clear
    if key == keys == None:  # noqa
        ret.result = "Nothing to clear, specify key or keys"
        return ret
    # remove specific key from cache
    if key:
        if key in self.cache:
            if self.cache.delete(key, retry=True):
                ret.result.append(key)
                log.debug(f"{self.name} - Removed cache key '{key}'")
                job.event(f"removed cache key '{key}'")
            else:
                raise RuntimeError(f"Failed to remove {key} from cache")
        else:
            log.warning(f"{self.name} - Cache key '{key}' not found")
            ret.messages.append(f"Key {key} not in cache.")
    # remove all keys matching glob pattern
    if keys:
        log.info(f"{self.name} - Clearing cache keys matching pattern '{keys}'")
        for cache_key in self.cache:
            if fnmatchcase(cache_key, keys):
                if self.cache.delete(cache_key, retry=True):
                    ret.result.append(cache_key)
                    log.info(f"{self.name} - Removed cache key '{cache_key}'")
                else:
                    raise RuntimeError(f"Failed to remove {cache_key} from cache")
        job.event(
            f"removed {len(ret.result)} cache key(s) matching pattern '{keys}'"
        )
    return ret

cache_get(job: Job, key: str = None, keys: str = None, raise_missing: bool = False) -> Result

Retrieve values from the cache based on a specific key or a pattern of keys.

Parameters:

Name	Type	Description	Default
job	Job	NorFab Job object containing relevant metadata	required
key	str	A specific key to retrieve from the cache.	None
keys	str	A glob pattern to match multiple keys in the cache.	None
raise_missing	bool	If True, raises a KeyError if the specific key is not found in the cache. Defaults to False.	False

Returns:

Name	Type	Description
dict	Result	A dictionary containing the results of the cache retrieval. The keys are the cache keys and the values are the corresponding cache values.

Raises:

Type	Description
KeyError	If raise_missing is True and the specific key is not found in the cache.

Source code in norfab\workers\netbox_worker\netbox_worker.py

@Task(fastapi={"methods": ["GET"], "schema": NetboxFastApiArgs.model_json_schema()})
def cache_get(
    self, job: Job, key: str = None, keys: str = None, raise_missing: bool = False
) -> Result:
    """
    Retrieve values from the cache based on a specific key or a pattern of keys.

    Args:
        job: NorFab Job object containing relevant metadata
        key (str, optional): A specific key to retrieve from the cache.
        keys (str, optional): A glob pattern to match multiple keys in the cache.
        raise_missing (bool, optional): If True, raises a KeyError if the specific
            key is not found in the cache. Defaults to False.

    Returns:
        dict: A dictionary containing the results of the cache retrieval. The keys are
            the cache keys and the values are the corresponding cache values.

    Raises:
        KeyError: If raise_missing is True and the specific key is not found in the cache.
    """
    ret = Result(task=f"{self.name}:cache_clear", result={})
    # get specific key from cache
    if key:
        if key in self.cache:
            ret.result[key] = self.cache[key]
        elif raise_missing:
            raise KeyError(f"Key {key} not in cache.")
    # get all keys matching glob pattern
    if keys:
        for cache_key in self.cache:
            if fnmatchcase(cache_key, keys):
                ret.result[cache_key] = self.cache[cache_key]
    return ret

rest(job: Job, instance: Union[None, str] = None, method: str = 'get', api: str = '', **kwargs: Any) -> Result

Sends a request to the Netbox REST API.

Parameters:

Name	Type	Description	Default
instance	str	The Netbox instance name to get parameters for.	None
method	str	The HTTP method to use for the request (e.g., 'get', 'post'). Defaults to "get".	'get'
api	str	The API endpoint to send the request to. Defaults to "".	''
**kwargs	Any	Additional arguments to pass to the request (e.g., params, data, json).	{}

Returns:

Type	Description
Result	Union[dict, list]: The JSON response from the API, parsed into a dictionary or list.

Raises:

Type	Description
HTTPError	If the HTTP request returned an unsuccessful status code.

Source code in norfab\workers\netbox_worker\netbox_worker.py

@Task(
    fastapi={"methods": ["POST"], "schema": NetboxFastApiArgs.model_json_schema()}
)
def rest(
    self,
    job: Job,
    instance: Union[None, str] = None,
    method: str = "get",
    api: str = "",
    **kwargs: Any,
) -> Result:
    """
    Sends a request to the Netbox REST API.

    Args:
        instance (str, optional): The Netbox instance name to get parameters for.
        method (str, optional): The HTTP method to use for the request (e.g., 'get', 'post'). Defaults to "get".
        api (str, optional): The API endpoint to send the request to. Defaults to "".
        **kwargs: Additional arguments to pass to the request (e.g., params, data, json).

    Returns:
        Union[dict, list]: The JSON response from the API, parsed into a dictionary or list.

    Raises:
        requests.exceptions.HTTPError: If the HTTP request returned an unsuccessful status code.
    """
    ret = Result(task=f"{self.name}:rest", result={})
    nb_params = self._get_instance_params(instance)
    api = api.strip("/")

    log.info(f"{self.name} - REST {method.upper()} '{nb_params['url']}/api/{api}/'")

    # send request to Netbox REST API
    response = getattr(requests, method)(
        url=f"{nb_params['url']}/api/{api}/",
        headers={
            "Content-Type": "application/json",
            "Accept": "application/json",
            "Authorization": f"Token {nb_params['token']}",
        },
        verify=nb_params.get("ssl_verify", True),
        **kwargs,
    )

    try:
        response.raise_for_status()
    except Exception as e:
        log.error(
            f"{self.name} - REST {method.upper()} '{nb_params['url']}/api/{api}/' failed, status {response.status_code}, error: {e}"
        )
        ret.result = response.status_code
        return ret

    try:
        ret.result = response.json()
    except Exception as e:
        log.debug(f"Failed to decode json, error: {e}")
        ret.result = response.text if response.text else response.status_code

    return ret

compare_netbox_object_state(desired_state: dict, current_state: dict, ignore_fields: Union[list, None] = None, ignore_if_not_empty: Union[list, None] = None, diff: dict = None) -> tuple

Compare desired state with current NetBox object state and return fields that need updating.

Parameters:

Name	Type	Description	Default
desired_state	dict	Dictionary with desired field values.	required
current_state	dict	Dictionary with current NetBox object field values.	required
ignore_fields	list	List of field names to ignore completely.	None
ignore_if_not_empty	list	List of field names to ignore if they have non-empty values in current_state (won't overwrite existing data).	None
diff	dict	Dictionary to accumulate field differences. If not provided, a new dictionary will be created.	None

Returns:

Name	Type	Description
tuple	tuple	A tuple containing: - updates (dict): Dictionary containing only fields that need to be updated with their new values. - diff (dict): Dictionary containing the differences with '+' (new value) and '-' (old value) keys.

Example

desired = {"serial": "ABC123", "asset_tag": "TAG001", "comments": "New comment"} current = {"serial": "OLD123", "asset_tag": "", "comments": "Existing"} ignore_fields = [] ignore_if_not_empty = ["comments"] updates, diff = compare_netbox_object_state(desired, current, ignore_fields, ignore_if_not_empty) updates

Source code in norfab\workers\netbox_worker\netbox_worker.py

def compare_netbox_object_state(
    self,
    desired_state: dict,
    current_state: dict,
    ignore_fields: Union[list, None] = None,
    ignore_if_not_empty: Union[list, None] = None,
    diff: dict = None,
) -> tuple:
    """
    Compare desired state with current NetBox object state and return fields that need updating.

    Args:
        desired_state (dict): Dictionary with desired field values.
        current_state (dict): Dictionary with current NetBox object field values.
        ignore_fields (list, optional): List of field names to ignore completely.
        ignore_if_not_empty (list, optional): List of field names to ignore if they have
            non-empty values in current_state (won't overwrite existing data).
        diff (dict, optional): Dictionary to accumulate field differences. If not provided,
            a new dictionary will be created.

    Returns:
        tuple: A tuple containing:
            - updates (dict): Dictionary containing only fields that need to be updated with their new values.
            - diff (dict): Dictionary containing the differences with '+' (new value) and '-' (old value) keys.

    Example:
        >>> desired = {"serial": "ABC123", "asset_tag": "TAG001", "comments": "New comment"}
        >>> current = {"serial": "OLD123", "asset_tag": "", "comments": "Existing"}
        >>> ignore_fields = []
        >>> ignore_if_not_empty = ["comments"]
        >>> updates, diff = compare_netbox_object_state(desired, current, ignore_fields, ignore_if_not_empty)
        >>> updates
        {"serial": "ABC123", "asset_tag": "TAG001"}
    """
    ignore_fields = ignore_fields or []
    ignore_if_not_empty = ignore_if_not_empty or []
    updates = {}
    diff = diff or {}

    for field, desired_value in desired_state.items():
        # Skip if field is in ignore list
        if field in ignore_fields:
            continue

        # Get current value, default to None if field doesn't exist
        current_value = current_state.get(field)

        # Skip if field is in ignore_if_not_empty and current value is not empty
        if field in ignore_if_not_empty and current_value:
            continue

        # Compare values and add to updates if different
        if current_value != desired_value:
            updates[field] = desired_value
            diff[field] = {
                "-": current_value,
                "+": desired_value,
            }

    return updates, diff

get_nornir_hosts(kwargs: dict, timeout: int) -> List[str]

Retrieves a list of unique Nornir hosts from Nornir service based on provided filter criteria.

Parameters:

Name	Type	Description	Default
kwargs	dict	Dictionary of keyword arguments, where keys starting with 'F' are used as filters.	required
timeout	int	Timeout value (in seconds) for the job execution.	required

Returns:

Name	Type	Description
list	List[str]	Sorted list of unique Nornir host names that match the filter criteria.

Notes

• Only filters with keys starting with 'F' are considered.
• Hosts are collected from all workers where the job did not fail.

Source code in norfab\workers\netbox_worker\netbox_worker.py

def get_nornir_hosts(self, kwargs: dict, timeout: int) -> List[str]:
    """
    Retrieves a list of unique Nornir hosts from Nornir service based on provided filter criteria.

    Args:
        kwargs (dict): Dictionary of keyword arguments, where keys starting with 'F' are used as filters.
        timeout (int): Timeout value (in seconds) for the job execution.

    Returns:
        list: Sorted list of unique Nornir host names that match the filter criteria.

    Notes:
        - Only filters with keys starting with 'F' are considered.
        - Hosts are collected from all workers where the job did not fail.
    """
    ret = []
    filters = {k: v for k, v in kwargs.items() if k.startswith("F")}
    if filters:
        log.info(
            f"{self.name} - get_nornir_hosts querying Nornir service with filters: {filters}"
        )
        nornir_hosts = self.client.run_job(
            "nornir",
            "get_nornir_hosts",
            kwargs=filters,
            workers="all",
            timeout=timeout,
        )
        for w, r in nornir_hosts.items():
            if r["failed"] is False and isinstance(r["result"], list):
                ret.extend(r["result"])
            elif r["failed"]:
                log.warning(
                    f"{self.name} - Get nornir hosts worker '{w}' failed: {r.get('errors')}"
                )

    unique_hosts = list(sorted(set(ret)))
    log.info(f"{self.name} - get_nornir_hosts resolved {len(unique_hosts)} host(s)")
    return unique_hosts