Error handling

Utilities for handling errors and error contexts in the pipeline.

This module provides utilities for standardized error handling across the pipeline system.

Author

Dimitrij Ray (dimitrij.ray@gdplabs.id)

References

NONE

ErrorContext

Bases: BaseModel

Standardized error context for pipeline steps.

This model provides a structured way to represent error context information for pipeline steps, ensuring consistency in error messages across the pipeline.

Attributes:

Name	Type	Description
exception	BaseException	The exception that was raised
step_name	str	The name of the pipeline step where the error occurred
step_type	str	The type of pipeline step where the error occurred
state	dict[str, Any] | None	The pipeline state at the time of the error. Defaults to None.
operation	str	Description of the operation being performed when the error occurred. Defaults to "execution".
additional_context	str | None	Additional context to include in the error message. Defaults to None.

__str__()

Convert the error context to a human-readable string.

Returns:

Name	Type	Description
str	str	A formatted error message string

ValidationError(message)

Bases: Exception

Exception raised for errors in state validation.

This exception is raised when input validation fails in pipeline steps. It provides more specific error information than a generic RuntimeError.

Attributes:

Name	Type	Description
message	str	The error message explaining the validation failure

Initialize with an error message.

Parameters:

Name	Type	Description	Default
message	str	The error message explaining what validation failed	required