models.krkn.models module

class models.krkn.models.ChaosRunAlert(alertname: str, alertstate: str, namespace: str, severity: str)

Bases: object

Represents a single alert collected from prometheus

__init__(alertname: str, alertstate: str, namespace: str, severity: str)

alertname: str: prometheus alert name

alertstate: str: prometheus alert state

namespace: str: namespace where the alert has been fired

severity: str: severity of the alert

class models.krkn.models.ChaosRunAlertSummary

Bases: object

Represents a summary of the collected alerts

__init__()

chaos_alerts: list[ChaosRunAlert]: alerts collected during the chaos

post_chaos_alerts: list[ChaosRunAlert]: alerts collected after the chaos run

run_id: str: Chaos run id

scenario: str: scenario that caused critical alerts

to_json() → str

class models.krkn.models.ChaosRunOutput

Bases: object

The krkn full json output. this is meant to be injected into Elastic search to be indexed

__init__()

critical_alerts: ChaosRunAlertSummary | None: the prometheus critical alerts collected during and after the chaos run

telemetry: ChaosRunTelemetry | None: the cluster telemetry collected by krkn

to_json() → str

class models.krkn.models.HogConfig

Bases: object

__init__()

cpu_load_percentage: int

cpu_method: str

duration: int

static from_yaml_dict(yaml_dict: dict[str, str]) → HogConfig

image: str

io_block_size: str

io_target_pod_folder: str

io_target_pod_volume: dict[str, any]

io_write_bytes: str

memory_vm_bytes: str

namespace: str

node_selector: str

number_of_nodes: int | None

type: HogType

workers: int | None

class models.krkn.models.HogType(value)

Bases: str, Enum

An enumeration.

cpu = 'cpu'

io = 'io'

memory = 'memory'