Parallel

All tasks run simultaneously in separate processes. Each task executes independently without receiving context from other tasks.

Implementation

Python 3.8+

from time import sleep

from dotflow import DotFlow, action, Context


@action
def task_foo(initial_context: Context):
    sleep(2)
    value = initial_context.storage
    return value * value * value


@action
def task_bar(initial_context: Context):
    sleep(1)
    value = initial_context.storage
    return value * value * value


def main():
    workflow = DotFlow()

    workflow.task.add(step=task_foo, initial_context=10)
    workflow.task.add(step=task_bar, initial_context=10)

    workflow.start(mode="parallel")

    return workflow


if __name__ == "__main__":
    main()

Workflow

flowchart TD
    S[Start] -->|run| A[task_a]
    S[Start] -->|run| B[task_b]
    S[Start] -->|run| C[task_c]
    S[Start] -->|run| D[task_d]
    A --> H[Finish]
    B --> H[Finish]
    C --> H[Finish]
    D --> H[Finish]

References

• Manager