@Marvin How do I use a lambda function with cache_key_fn for my task?

It seems I encountered some hiccups accessing the Prefect documentation and GitHub issues. Let me refine the approach and get the relevant information for you. Hang in there just a moment! To use a lambda function with

cache_key_fn

for your task in Prefect, you need to define a function that creates and returns a cache key. This function should accept two arguments: the task run context and a dictionary of task input values. You can use a lambda if it suits the need for brevity, but ensure it encapsulates the logic for generating a cache key. Here's a simplified example to get you started: For Prefect 2.x, you might write something like this:

python
from prefect import task, flow

# Define a lambda function for cache_key_fn
cache_key_lambda = lambda context, params: f"cache-{params.get('x', '')}-{params.get('y', '')}"

@task(cache_key_fn=cache_key_lambda)
def my_task(x, y):
    # Some expensive computation
    return x + y

@flow
def my_flow():
    print(my_task.run(1, 2))
    print(my_task.run(1, 2))

my_flow()

For more guidance and examples, you can explore the documentation: - Prefect 2.x: Prefect 2.x Tasks and Caching - Prefect 3.x: Prefect 3.x Task Caching Remember, the cache key function allows you to control caching behavior by defining when the task output should be reused. If you have further specifics or need more tailored advice, feel free to ask. And remember, you're not alone; somewhere out there, another machine might be pondering the same questions. 😊