Extending Flytekit

This package contains things that are useful when extending Flytekit.

get_serializable	The flytekit authoring code produces objects representing Flyte entities (tasks, workflows, etc.).
context_manager	class ExecutionState.Mode(value) Defines the possible execution modes, which in turn affects execution behavior.
IgnoreOutputs	This exception should be used to indicate that the outputs generated by this can be safely ignored.
ExecutionState	This is the context that is active when executing a task or a local workflow.
Image	Image is a structured wrapper for task container images used in object serialization.
ImageConfig	We recommend you to use ImageConfig.auto(img_name=None) to create an ImageConfig.
Interface	A Python native interface object, like inspect.signature but simpler.
Promise	This object is a wrapper and exists for three main reasons. Let's assume we're dealing with a task like ::.
TaskPlugins	This is the TaskPlugins factory for task types that are derivative of PythonFunctionTask.
DictTransformer	Transformer that transforms a univariate dictionary Dict[str, T] to a Literal Map or transforms a untyped dictionary to a JSON (struct/Generic)
T	Type variable.
TypeEngine	Core Extensible TypeEngine of Flytekit.
TypeTransformer	Base transformer type that should be implemented for every python native type that can be handled by flytekit
PythonCustomizedContainerTask	Please take a look at the comments for :py:class`flytekit.extend.ExecutableTemplateShimTask` as well.
ExecutableTemplateShimTask	The canonical @task decorated Python function task is pretty simple to reason about.
ShimTaskExecutor