mlrun.common.schemas.notification

class mlrun.common.schemas.notification.Notification(*, kind: NotificationKind, name: str, message: str, severity: NotificationSeverity, when: list[str], condition: str, params: dict[str, Any] = None, status: NotificationStatus = None, sent_time: str | datetime = None, secret_params: dict[str, Any] | None = None, reason: str | None = None)

Bases: BaseModel

Create a new model by parsing and validating input data from keyword arguments.

Raises ValidationError if the input data cannot be parsed to form a valid model.

condition: str

kind: NotificationKind

message: str

name: str

params: dict[str, Any]

reason: str | None

secret_params: dict[str, Any] | None

sent_time: str | datetime

severity: NotificationSeverity

status: NotificationStatus

when: list[str]

class mlrun.common.schemas.notification.NotificationKind(value)

Bases: StrEnum

An enumeration.

console = 'console'

git = 'git'

ipython = 'ipython'

slack = 'slack'

webhook = 'webhook'

class mlrun.common.schemas.notification.NotificationLimits(value)

Bases: Enum

An enumeration.

max_params_size = 921600

class mlrun.common.schemas.notification.NotificationSeverity(value)

Bases: StrEnum

An enumeration.

DEBUG = 'debug'

ERROR = 'error'

INFO = 'info'

VERBOSE = 'verbose'

WARNING = 'warning'

class mlrun.common.schemas.notification.NotificationStatus(value)

Bases: StrEnum

An enumeration.

ERROR = 'error'

PENDING = 'pending'

SENT = 'sent'

class mlrun.common.schemas.notification.SetNotificationRequest(*, notifications: list[mlrun.common.schemas.notification.Notification] = None)

Bases: BaseModel

Create a new model by parsing and validating input data from keyword arguments.

Raises ValidationError if the input data cannot be parsed to form a valid model.

notifications: list[mlrun.common.schemas.notification.Notification]