Alerter

zenml.alerter special

Alerters allow you to send alerts from within your pipeline.

This is useful to immediately get notified when failures happen, and also for general monitoring / reporting.

base_alerter

Base class for all ZenML alerters.

BaseAlerter (StackComponent, ABC)

Base class for all ZenML alerters.

Source code in zenml/alerter/base_alerter.py

class BaseAlerter(StackComponent, ABC):
    """Base class for all ZenML alerters."""

    @property
    def config(self) -> BaseAlerterConfig:
        """Returns the `BaseAlerterConfig` config.

        Returns:
            The configuration.
        """
        return cast(BaseAlerterConfig, self._config)

    def post(
        self, message: str, params: Optional[BaseAlerterStepParameters] = None
    ) -> bool:
        """Post a message to a chat service.

        Args:
            message: Message to be posted.
            params: Optional parameters of this function.

        Returns:
            bool: True if operation succeeded, else False.
        """
        return True

    def ask(
        self, question: str, params: Optional[BaseAlerterStepParameters] = None
    ) -> bool:
        """Post a message to a chat service and wait for approval.

        This can be useful to easily get a human in the loop, e.g., when
        deploying models.

        Args:
            question: Question to ask (message to be posted).
            params: Optional parameters of this function.

        Returns:
            bool: True if operation succeeded and was approved, else False.
        """
        return True

config: BaseAlerterConfig property readonly

Returns the BaseAlerterConfig config.

Returns:

Type	Description
BaseAlerterConfig	The configuration.

ask(self, question, params=None)

Post a message to a chat service and wait for approval.

This can be useful to easily get a human in the loop, e.g., when deploying models.

Parameters:

Name	Type	Description	Default
question	str	Question to ask (message to be posted).	required
params	Optional[zenml.alerter.base_alerter.BaseAlerterStepParameters]	Optional parameters of this function.	None

Returns:

Type	Description
bool	True if operation succeeded and was approved, else False.

Source code in zenml/alerter/base_alerter.py

def ask(
    self, question: str, params: Optional[BaseAlerterStepParameters] = None
) -> bool:
    """Post a message to a chat service and wait for approval.

    This can be useful to easily get a human in the loop, e.g., when
    deploying models.

    Args:
        question: Question to ask (message to be posted).
        params: Optional parameters of this function.

    Returns:
        bool: True if operation succeeded and was approved, else False.
    """
    return True

post(self, message, params=None)

Post a message to a chat service.

Parameters:

Name	Type	Description	Default
message	str	Message to be posted.	required
params	Optional[zenml.alerter.base_alerter.BaseAlerterStepParameters]	Optional parameters of this function.	None

Returns:

Type	Description
bool	True if operation succeeded, else False.

Source code in zenml/alerter/base_alerter.py

def post(
    self, message: str, params: Optional[BaseAlerterStepParameters] = None
) -> bool:
    """Post a message to a chat service.

    Args:
        message: Message to be posted.
        params: Optional parameters of this function.

    Returns:
        bool: True if operation succeeded, else False.
    """
    return True

BaseAlerterConfig (StackComponentConfig) pydantic-model

Base config for alerters.

Source code in zenml/alerter/base_alerter.py

class BaseAlerterConfig(StackComponentConfig):
    """Base config for alerters."""

BaseAlerterFlavor (Flavor, ABC)

Base class for all ZenML alerter flavors.

Source code in zenml/alerter/base_alerter.py

class BaseAlerterFlavor(Flavor, ABC):
    """Base class for all ZenML alerter flavors."""

    @property
    def type(self) -> StackComponentType:
        """Returns the flavor type.

        Returns:
            The flavor type.
        """
        return StackComponentType.ALERTER

    @property
    def config_class(self) -> Type[BaseAlerterConfig]:
        """Returns BaseAlerterConfig class.

        Returns:
            The BaseAlerterConfig class.
        """
        return BaseAlerterConfig

    @property
    def implementation_class(self) -> Type[BaseAlerter]:
        """Implementation class.

        Returns:
            The implementation class.
        """
        return BaseAlerter

config_class: Type[zenml.alerter.base_alerter.BaseAlerterConfig] property readonly

Returns BaseAlerterConfig class.

Returns:

Type	Description
Type[zenml.alerter.base_alerter.BaseAlerterConfig]	The BaseAlerterConfig class.

implementation_class: Type[zenml.alerter.base_alerter.BaseAlerter] property readonly

Implementation class.

Returns:

Type	Description
Type[zenml.alerter.base_alerter.BaseAlerter]	The implementation class.

type: StackComponentType property readonly

Returns the flavor type.

Returns:

Type	Description
StackComponentType	The flavor type.

BaseAlerterStepParameters (BaseModel) pydantic-model

Step parameters definition for all alerters.

Source code in zenml/alerter/base_alerter.py

class BaseAlerterStepParameters(BaseModel):
    """Step parameters definition for all alerters."""