step_in_line.step.Step

class documentation

class Step: (source)

Constructor: Step(name, func, args, python_runtime, ...)

Step for step function workflows

Method	`__init__`	Initialize a Step
Method	`add_depends_on`	Add `Step` names or `Step` instances to the current `Step` depends on list.
Method	`depends_on.setter`	Set the list of steps the current step explicitly depends on.
Instance Variable	`additional_policies`	Undocumented
Instance Variable	`args`	Undocumented
Instance Variable	`description`	Undocumented
Instance Variable	`env_variables`	Undocumented
Instance Variable	`func`	Undocumented
Instance Variable	`layers`	Undocumented
Instance Variable	`memory_size`	Undocumented
Instance Variable	`name`	Undocumented
Instance Variable	`python_runtime`	Undocumented
Instance Variable	`retry_count`	Undocumented
Property	`depends_on`	The list of steps the current `Step` depends on.
Instance Variable	`_depends_on`	Undocumented

def __init__(self, name: str, func: Callable, args: List[Any], python_runtime: str, memory_size: int = 512, description: Optional[str] = None, retry_count: int = 0, policies: List[str] = [], layers: List[str] = [], env_variables: Dict[str, str] = {}, depends_on: Optional[List[Step]] = None): (source) ¶

Initialize a Step

Args:: name (str): The name of the Step. func (callable): The function that should be executed as part of this step args (list): The arguments to the function. If not a step, these are considered "static" and are used even in the Step Function execution python_runtime (str): Lambda runtime. memory_size (int): Megabytes of memory for the lambda. Defaults to 512. description (str): The description of the Step. retry_count (int): Number of times to retry a failure policies (List[str]): IAM policies, in JSON, to provide to the Lambda layers (list): the ARNs of layers to add to the lambda function env_variables (dict): environment variables to pass to lambda function depends_on (List[Step]): The list of Steps that the current Step depends on.