4.6.1. Dashboards and discovery cycles¶

API for working with dashboards and discovery lifecycle.

class axonius_api_client.api.system.dashboard.DiscoverPhase(raw)[source]¶

Bases: PropsData

Pass.

Parameters:: raw (dict) –

raw: dict¶

to_str_properties()[source]¶

Pass.

Return type:: typing.List[str]

to_str_progress()[source]¶

Pass.

Return type:: typing.List[str]

property name: str¶: Pass.

property human_name: str¶: Pass.

property is_done: bool¶: Pass.

property progress: Dict[str, List[str]]¶: Pass.

property name_map: dict¶: Pass.

__init__(raw)¶

Parameters:: raw (dict) –

__str__()¶: Pass.

static _human_key(key)¶: Pass.

classmethod get_fields()¶

Get a list of fields defined for current this dataclass object.

Return type:: typing.List[dataclasses.Field]

replace(**kwargs)¶

Pass.

Return type:: axonius_api_client.data.BaseData

to_dict(dt_obj=False)¶

Pass.

Parameters:: dt_obj (bool) –
Return type:: dict

class axonius_api_client.api.system.dashboard.DiscoverData(raw, adapters=<factory>)[source]¶

Bases: PropsData

Pass.

Parameters:

raw (dict) –
adapters (typing.List[dict]) –

raw: dict¶

adapters: typing.List[dict]¶

to_str_progress()[source]¶

Pass.

Return type:: typing.List[str]

to_str_phases()[source]¶

Pass.

Return type:: typing.List[str]

property phases_dict: dict¶: Pass.

to_dict(dt_obj=False)[source]¶

Pass.

Parameters:: dt_obj (bool) –
Return type:: dict

property last_run_finish_date: Optional[datetime]¶: Pass.

property last_run_start_date: Optional[datetime]¶: Pass.

property current_run_duration_in_minutes: Optional[float]¶: Pass.

property last_run_duration_in_minutes: Optional[float]¶: Pass.

property last_run_minutes_ago: Optional[float]¶: Pass.

property next_run_starts_in_minutes: float¶: Pass.

property next_run_start_date: datetime¶: Pass.

property correlation_stage: str¶: Pass.

property correlation_phase: Optional[DiscoverPhase]¶: Pass.

property is_correlation_finished: bool¶: Pass.

property running_status_map: dict¶: Pass.

property is_running: bool¶: Pass.

property status: str¶: Pass.

property progress: List[dict]¶: Pass.

property phases: List[DiscoverPhase]¶: Pass.

next_run_within_minutes(value)[source]¶

Pass.

Parameters:: value (typing.Union[int, str]) –
Return type:: bool

get_stability(for_next_minutes=None, start_check=0.5)[source]¶

Pass.

Parameters:

for_next_minutes (typing.Optional[int]) –
start_check (typing.Union[int, float]) –

Return type:

typing.Tuple[str, bool]

__init__(raw, adapters=<factory>)¶

Parameters:

raw (dict) –
adapters (typing.List[dict]) –

__str__()¶: Pass.

static _human_key(key)¶: Pass.

classmethod get_fields()¶

Get a list of fields defined for current this dataclass object.

Return type:: typing.List[dataclasses.Field]

replace(**kwargs)¶

Pass.

Return type:: axonius_api_client.data.BaseData

to_str_properties()¶

Pass.

Return type:: typing.List[str]

class axonius_api_client.api.system.dashboard.Dashboard(auth, log_level='debug', **kwargs)[source]¶

Bases: ModelMixins

API for working with discovery lifecycle.

Examples

Get discover lifecycle metadata: get()
See if a lifecycle is currently running: is_running()
Start a discover lifecycle: start()
Stop a discover lifecycle: stop()

Parameters:

auth (axonius_api_client.auth.model.AuthModel) –
log_level (typing.Union[int, str]) –

get()[source]¶

Get lifecycle metadata. :rtype: axonius_api_client.api.system.dashboard.DiscoverData

Examples

Create a client using axonius_api_client.connect.Connect

>>> data = client.dashboard.get()
>>> data.next_run_starts_in_minutes
551
>>> data.is_running
False

property is_running: bool¶

Check if discovery cycle is running.

Examples

Create a client using axonius_api_client.connect.Connect

>>> data = client.dashboard.is_running
False

start()[source]¶

Start a discovery cycle if one is not running. :rtype: axonius_api_client.api.system.dashboard.DiscoverData

Examples

Create a client using axonius_api_client.connect.Connect

>>> data = client.dashboard.start()
>>> data.is_running
True
>>> j(data['phases_pending'])
[
  "Fetch_Devices",
  "Fetch_Scanners",
  "Clean_Devices",
  "Pre_Correlation",
  "Run_Correlations",
  "Post_Correlation",
  "Run_Queries",
  "Save_Historical"
]
>>> j(data['phases_done'])
[]

stop()[source]¶

Stop a discovery cycle if one is running. :rtype: axonius_api_client.api.system.dashboard.DiscoverData

Examples

Create a client using axonius_api_client.connect.Connect

>>> data = client.dashboard.start()
>>> data.is_running
True

_get()[source]¶

Direct API method to get discovery cycle metadata.

Return type:: axonius_api_client.api.json_api.lifecycle.Lifecycle

_start()[source]¶

Direct API method to start a discovery cycle.

Return type:: str

_stop()[source]¶

Direct API method to stop a discovery cycle.

Return type:: str

_init(**kwargs)[source]¶: Post init method for subclasses to use for extra setup.

LOG: logging.Logger = None¶: Logger for this object.

__init__(auth, log_level='debug', **kwargs)¶

Mixins for API Models.

Parameters:

auth (axonius_api_client.auth.model.AuthModel) – object to use for auth and sending API requests
log_level (typing.Union[int, str]) – logging level to use for this objects logger
**kwargs – passed to _init()

__repr__()¶

Show info for this model object.

Return type:: str

__str__()¶

Show info for this model object.

Return type:: str

_init_auth(**kwargs)¶: Post init method for subclasses to use for overriding auth setup.

auth: axonius_api_client.auth.model.AuthModel = None¶: Authentication model with bound Http object to use for requests.

http: axonius_api_client.http.Http = None¶: Http object to use for requests.