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runner_functions

no_op_submit_setup_call(*, wftask, workflow_dir_local, workflow_dir_remote, which_type)

Default (no-operation) interface of submit_setup_call in V2.

Source code in fractal_server/app/runner/v2/runner_functions.py 
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def no_op_submit_setup_call(
    *,
    wftask: WorkflowTaskV2,
    workflow_dir_local: Path,
    workflow_dir_remote: Path,
    which_type: Literal["non_parallel", "parallel"],
) -> dict:
    """
    Default (no-operation) interface of submit_setup_call in V2.
    """
    return {}

run_v2_task_non_parallel(*, images, zarr_dir, task, wftask, workflow_dir_local, workflow_dir_remote=None, executor, logger_name=None, submit_setup_call=no_op_submit_setup_call)

This runs server-side (see executor argument)

Source code in fractal_server/app/runner/v2/runner_functions.py 
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def run_v2_task_non_parallel(
    *,
    images: list[dict[str, Any]],
    zarr_dir: str,
    task: TaskV2,
    wftask: WorkflowTaskV2,
    workflow_dir_local: Path,
    workflow_dir_remote: Optional[Path] = None,
    executor: Executor,
    logger_name: Optional[str] = None,
    submit_setup_call: Callable = no_op_submit_setup_call,
) -> TaskOutput:
    """
    This runs server-side (see `executor` argument)
    """

    if workflow_dir_remote is None:
        workflow_dir_remote = workflow_dir_local
        logging.warning(
            "In `run_single_task`, workflow_dir_remote=None. Is this right?"
        )
        workflow_dir_remote = workflow_dir_local

    executor_options = _get_executor_options(
        wftask=wftask,
        workflow_dir_local=workflow_dir_local,
        workflow_dir_remote=workflow_dir_remote,
        submit_setup_call=submit_setup_call,
        which_type="non_parallel",
    )

    function_kwargs = dict(
        zarr_urls=[image["zarr_url"] for image in images],
        zarr_dir=zarr_dir,
        **(wftask.args_non_parallel or {}),
    )
    future = executor.submit(
        functools.partial(
            run_single_task,
            wftask=wftask,
            command=task.command_non_parallel,
            workflow_dir_local=workflow_dir_local,
            workflow_dir_remote=workflow_dir_remote,
        ),
        function_kwargs,
        **executor_options,
    )
    output = future.result()
    if output is None:
        return TaskOutput()
    else:
        return _cast_and_validate_TaskOutput(output)