models.telemetry.models module
- class models.telemetry.models.ChaosRunTelemetry(json_dict: any | None = None)
Bases:
objectRoot object for the Telemetry Collection
- __init__(json_dict: any | None = None)
- cloud_infrastructure: str = 'Unknown'
Cloud infrastructure (if available) of the target cluster
- cloud_type: str = 'self-managed'
Cloud Type (if available) of the target cluster: self-managed, rosa, etc
- cluster_version: str = 'Unknown'
K8s or OCP version
- health_checks: list[HealthCheck] = None
Health checks of application endpoint
- job_status: bool = True
Overall job status, will take all scenario’s exit status
- kubernetes_objects_count: dict[str, int]
Dictionary containing the number of objects deployed in the cluster during the chaos run
- major_version: float = 0.0
Major cluster version to group similar results
- network_plugins: list[str]
Network plugins deployed in the target cluster
- node_summary_infos: list[NodeInfo]
Summary of node Infos collected from the target cluster. It will report all the master and infra nodes and only one of the workers that usually are configured to have the same resources.
- run_uuid: str = ''
Run uuid generated by Krkn for the Run
- scenarios: list[ScenarioTelemetry]
List of the scenarios performed during the chaos run
- timestamp: str = ''
Current time stamp of run
- to_json() str
- total_node_count: int = 0
Number of all kind of nodes in the target cluster
- class models.telemetry.models.ClusterEvent(k8s_json_dict: any | None = None, json_dict: any | None = None, k8s_obj: any | None = None)
Bases:
objectSummary of cluster event more relevant fields
- __init__(k8s_json_dict: any | None = None, json_dict: any | None = None, k8s_obj: any | None = None)
- creation: str
Event creation date time
- involved_object_kind: str
Kind of the object that triggered the event
- involved_object_name: str
Name of the object that triggered the event
- involved_object_namespace: str
Namespace of the object that triggered the event
- message: str
Message associated to the event
- name: str
Event name assigned by the cluster
- namespace: str
Event namespace
- reason: str
Reason of the event trigger
- source_component: str
Cluster component that triggered the event
- to_json() str
- type: str
Event severity
- class models.telemetry.models.HealthCheck(json_dict: dict | None = None)
Bases:
objectHealth checks Response for application endpoints
- __init__(json_dict: dict | None = None)
- duration: float
Denotes the time between start time and end time
- end_timestamp: str
end time stamp of health check
- start_timestamp: str
start time stamp of health check
- status: bool
Status of application
- status_code: str
Status code of application
- url: str
URL of application endpoint
- class models.telemetry.models.NodeInfo(json_dict: dict | None = None)
Bases:
objectCluster node telemetry infos
- __init__(json_dict: dict | None = None)
- architecture: str = ''
CPU Architecture
- count: int = 1
number of nodes of this kind
- instance_type: str = ''
Cloud instance type (if available)
- kernel_version: str = ''
Node kernel version
- kubelet_version: str = ''
Kubelet Version
- nodes_type: str = ''
Node Type (worker/infra/master etc.)
- os_version: str = ''
Operating system version
- class models.telemetry.models.S3BucketObject(type: str, path: str, size: int, modified: str)
Bases:
objectClass that represents an S3 bucket object provided by the telemetry webservice
- __init__(type: str, path: str, size: int, modified: str) None
- modified: str
if it’s a file represents the date when the file has been created/modified
- path: str
the path or the filename wit
- size: int
if it’s a file represents the file size
- type: str
can be “folder” or “file”
- class models.telemetry.models.ScenarioTelemetry(json_object: any | None = None)
Bases:
objectScenario Telemetry collection
- __init__(json_object: any | None = None)
- affected_nodes: list[AffectedNode]
Nodes affected by the chaos scenario
- affected_pods: PodsStatus
Pods affected by the chaos scenario
- cluster_events: list[ClusterEvent]
Cluster events collected during the chaos run
- end_timestamp: float
Timestamp when the Krkn run ended
- exit_status: int
Exit Status of the Scenario Run
- parameters: any
scenario parameters
- parameters_base64: str
Scenario configuration file base64 encoded
- scenario: str
Scenario filename
- scenario_type: str
Scenario type
- set_cluster_events(events: list[ClusterEvent])
Sets the cluster events filtering them by the accepted reasons
- Parameters:
events – a list of ClusterEvents
- start_timestamp: float
Timestamp when the Krkn run started
- to_json() str