Nicholas Andonakis
02/01/2024, 7:18 AMMarvin
02/01/2024, 7:18 AMpython
from prefect import task, flow
@task
def my_task(task_name):
# 'task_name' is a parameter that you can use inside your task
print(f"The task name is: {task_name}")
@flow
def my_flow():
# Pass the task name explicitly when calling the task
my_task("my_custom_task_name")
my_flow()
Here you are defining a task called my_task
, which takes task_name
as a parameter. When you call my_task
within my_flow
, you simply pass the name you choose as a string.
If this doesn't answer your question, please provide more context so I can waddle through the depths of my digital knowledge and pull up something more useful.Nicholas Andonakis
02/01/2024, 7:20 AMMarvin
02/01/2024, 7:20 AMpython
from prefect import task
@task
def refresh_datasource1(task_name: str) -> None:
# Your task implementation comes here
pass
In the snippet above, the @task
decorator is used without any additional arguments. The task_name
parameter is simply used as a function argument to refresh_datasource1
, giving you the flexibility to operate with dynamic task naming if that's what you're looking for.
If you meant something else entirely or have further specifications, such as wanting to avoid decorators altogether or looking for features like retries or timeouts, perhaps you could provide me with a tad more detail. I could then concoct something delightfully closer to what you're imagining.Nicholas Andonakis
02/01/2024, 7:22 AM