<@ULVA73B9P> can i run single task, alternatively,...
# marvin-ai
f
@Marvin can i run single task, alternatively, in a flow? for instance:
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@task
def build_tmp_job_config

@task
def load_raw_dataset

@task
def transform_dataset

@task
def load_dataset_from_tag

@task
def submit_job

@flow
def hpc_training_flow():

    # Use JOB_CONFIG_PATH as template; write /tmp/job_config.yml locally
    tmp_job_config_path = build_tmp_job_config(JOB_CONFIG_PATH) # /tmp/job_config.yml

    load_raw_dataset or load_dataset_from_tag
    
    if load_raw_dataset:
        transform_dataset
    
    # 2) Submit job

    job_id = submit_job(tmp_job_config_path)
    final_status = monitor_job(job_id)
    return final_status


if __name__ == "__main__":
    hpc_training_flow()
m
thought for 148.6 seconds
Yes. In Prefect 3.x you use normal Python control flow inside your flow. Only the branch you execute will run. Here’s your example wired up two ways: picking the branch via a parameter, or deciding at runtime based on a task result. Parameter-based choice
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from prefect import flow, task

@task
def build_tmp_job_config(path: str) -> str:
    # write to /tmp and return the tmp path
    return "/tmp/job_config.yml"

@task
def load_raw_dataset() -> str:
    return "raw_dataset"

@task
def transform_dataset(ds: str) -> str:
    return f"transformed({ds})"

@task
def load_dataset_from_tag(tag: str) -> str:
    return f"dataset_from_tag({tag})"

@task
def submit_job(job_config_path: str, dataset: str) -> str:
    return "job-123"

@task
def monitor_job(job_id: str) -> str:
    return "succeeded"

@flow
def hpc_training_flow(
    job_config_path: str,
    load_from_tag: bool = False,
    tag: str | None = None,
):
    tmp_job_config_path = build_tmp_job_config(job_config_path)

    if load_from_tag and tag:
        dataset = load_dataset_from_tag(tag)
    else:
        raw = load_raw_dataset()
        dataset = transform_dataset(raw)

    job_id = submit_job(tmp_job_config_path, dataset)
    final_status = monitor_job(job_id)
    return final_status

if __name__ == "__main__":
    hpc_training_flow(job_config_path="/path/to/JOB_CONFIG_PATH", load_from_tag=False)
Decide based on a task result at runtime
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from prefect import flow, task

@task
def should_use_tag(tag: str | None) -> bool:
    # e.g., check tag exists in a registry
    return bool(tag)

@flow
def hpc_training_flow(job_config_path: str, tag: str | None = None):
    tmp_job_config_path = build_tmp_job_config(job_config_path)

    use_tag = should_use_tag(tag)
    if use_tag:
        dataset = load_dataset_from_tag(tag)  # type: ignore[arg-type]
    else:
        raw = load_raw_dataset()
        dataset = transform_dataset(raw)

    job_id = submit_job(tmp_job_config_path, dataset)
    return monitor_job(job_id)
Notes - Calling a task like
result = task_fn(args)
runs it and returns its result. Use
.submit()
only if you want to run tasks concurrently; if you branch on a submitted task’s output, call
.result()
to get the boolean for the
if
. - No special branching operators are needed—just
if/elif/else
.