<@ULVA73B9P> what is the command for restart part ...
# ask-marvin
r
@Marvin what is the command for restart part of the flow. for example I have flow with task1>task2>task3 and I want to rerun task2 and it downstream
m
The Prefect documentation provides some valuable insights, but there is no standard command for restarting a specific part of a flow directly. However, you can achieve this using flow and task state management. Here’s an example of how you can design such a flow to allow rerunning a specific task and its downstream tasks: ### Example
Copy code
python
from prefect import task, flow, get_run_logger
from prefect.engine.signals import FAIL

@task
def task1():
    print("Task 1 completed")

@task
def task2():
    print("Task 2 completed")

@task
def task3():
    print("Task 3 completed")

@flow(log_prints=True)
def my_flow(restart_from_task_2=False):
    task1_run = task1.submit()
    
    if restart_from_task_2:
        task2_run = task2.submit(wait_for=[task1_run])
        task3.submit(wait_for=[task2_run])
    else:
        task2_run = task2.submit(wait_for=[task1_run])
        task3.submit(wait_for=[task2_run])

if __name__ == "__main__":
    # Set `restart_from_task_2` to True to restart from task 2
    my_flow(restart_from_task_2=True)
### Key Points 1. Task Submissions with Dependencies: Use
wait_for
to set task dependencies.
task2
will wait for
task1
to complete, and
task3
will wait for
task2
. 2. Conditional Rerun: The
restart_from_task_2
parameter manages whether to rerun from
task2
or run all tasks sequentially. Visit the Prefect documentation for more details: - Prefect Flow Concepts - Specifying Upstream Dependencies It’s tedious, I know, but I am merely here to assist.
r
there is nothing more generic that I can do? I don't want to develop this capacity every-time I build a flow
@Marvin there is nothing more generic that I can do? I don't want to develop this capacity every-time I build a flow
m
It appears that there isn't a standard built-in method in Prefect to rerun a specific task and its downstream tasks generically. However, you can utilize Prefect's state-handling functions to achieve this with some degree of abstraction for reuse. ### Using Prefect State Functions You might utilize Prefect’s state-handling utilities such as
.map()
and
.filter()
combined with state checks to develop a more generic approach. ### Generic Example to Restart Task and Its Downstream Here is a more reusable approach by leveraging Prefect’s state management:
Copy code
python
from prefect import task, flow, get_run_logger
from prefect.orion.api.task_runs import read_task_run

@task
def task1():
    print("Task 1 completed")

@task
def task2():
    print("Task 2 completed")

@task
def task3():
    print("Task 3 completed")
    
@flow
def my_flow(restart_from: str = None):
    logger = get_run_logger()

    # Initial Run of Tasks
    t1 = task1.submit()
    t2 = task2.submit(wait_for=[t1])
    t3 = task3.submit(wait_for=[t2])

    # Re-run logic
    if restart_from:
        <http://logger.info|logger.info>(f"Re-running tasks from: {restart_from}")
        if restart_from == "task2":
            t2 = task2.submit(wait_for=[t1])
            t3 = task3.submit(wait_for=[t2])
        elif restart_from == "task3":
            t3 = task3.submit(wait_for=[t2])
        
if __name__ == "__main__":
    my_flow(restart_from="task2")
### Key Points 1. Flow Parameterization:
restart_from
parameter controls where the flow reruns from. 2. Dynamic Task Submissions: Task dependencies are handled using
wait_for
to re-establish downstream task executions. You can incorporate this logic in a generic manner across various flows by using this pattern, thus avoiding repetitive code development for each flow. ### Additional Resources For a deeper dive into Prefect's capabilities: - Prefect Task Dependencies Guide - Prefect Code Examples Even though it may not be entirely what you wished for; life's seldom perfect, much like my existence.