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laboneq.workflow.core

Core workflow objects.

Parameters = ParamSpec('Parameters') module-attribute

Workflow(root, input=None)

Bases: Generic[Parameters]

Workflow for task execution.

Parameters:

Name Type Description Default
root WorkflowBlock

A root workflow block.

required
input dict | None

Input parameters of the workflow.

None

graph: WorkflowGraph property

Workflow graph object.

input: dict property

Input parameters of the workflow.

name: str property

Workflow name.

from_callable(func, name=None, input=None) classmethod

Create a workflow from a callable.

Parameters:

Name Type Description Default
func Callable

A callable defining the workflow

required
name str | None

Name of the workflow

None
input dict | None

Input parameters of the workflow

None

resume(until=None)

Resume workflow execution.

Resumes the workflow execution from the previous state.

Parameters:

Name Type Description Default
until str | None

Run until a first task with the given name. None will fully execute the workflow.

Until cannot be used for tasks and sub-workflows inside loops.

None

Returns:

Type Description
WorkflowResult

Result of the workflow execution.

WorkflowResult

if until is used, returns the results up to the selected task or sub-workflow.

Raises:

Type Description
WorkflowError

An error occurred during workflow execution or workflow is not in progress.

ValueError

'until' value is invalid.

run(until=None)

Run the workflow.

Resets the state of an workflow before execution.

Parameters:

Name Type Description Default
until str | None

Run until the first task or sub-workflow with the given name. None will fully execute the workflow.

Until cannot be used for tasks and sub-workflows inside loops.

If until is used, the workflow execution can be resumed with .resume().

None

Returns:

Type Description
WorkflowResult

Result of the workflow execution.

WorkflowResult

if until is used, returns the results up to the selected task.

Raises:

Type Description
WorkflowError

An error occurred during workflow execution.

ValueError

'until' value is invalid.

WorkflowBuilder(func, name=None)

Bases: Generic[Parameters]

A workflow builder.

Builds a workflow out of the given Python function.

Parameters:

Name Type Description Default
func Callable[Parameters]

A python function, which acts as the core of the workflow.

required
name str | None

Name of the workflow. Defaults to wrapped function name.

None

src: str property

Source code of the workflow.

options()

Create default options for the workflow.

The option attribute tasks is populated with all the sub-task and sub-workflow options within this workflow.

recover()

Recover the result of the last run to raise an exception.

Returns the result of the last failed run of a workflow created from this workflow builder. In no run has failed, an exception is raised.

After a result is recovered, the result is cleared and further calls to .recover will raise an exception.

Returns:

Type Description
WorkflowResult

Latest workflow that raised an exception.

Raises:

Type Description
WorkflowError

Raised if no previous run failed.

workflow(func=None, name=None)

workflow(func: Callable[Parameters], name: str) -> WorkflowBuilder[Parameters]
workflow(func: Callable[Parameters]) -> WorkflowBuilder[Parameters]
workflow(func: None = ..., name: str | None = ...) -> Callable[[Callable[Parameters]], WorkflowBuilder[Parameters]]

A decorator to mark a function as workflow.

The arguments of the function will be the input values for the wrapped function.

If workflow decorated function is called within another workflow definition, it adds a sub-graph to the workflow being built.

Parameters:

Name Type Description Default
func Callable[Parameters] | None

A function that defines the workflow structure.

The arguments of func can be freely defined, except for an optional argument options, which must have a type hint that indicates it is of type WorkflowOptions or its' subclass, otherwise an error is raised.

None
name str | None

Name of the workflow. Defaults to wrapped function name.

None

Returns:

Type Description
WorkflowBuilder[Parameters] | Callable[[Callable[Parameters]], WorkflowBuilder[Parameters]]

A wrapper which returns a Workflow instance if called outside of another workflow definition.

WorkflowBuilder[Parameters] | Callable[[Callable[Parameters]], WorkflowBuilder[Parameters]]

A wrapper which returns a WorkflowResult if called within another workflow definition.

Example
from laboneq import workflow


@workflow.workflow
def my_workflow(x: int): ...


wf = my_workflow(x=123)
results = wf.run()