Leanna Morinishi
11/28/2024, 7:36 AMMarvin
11/28/2024, 7:37 AMTrue
, you can use a combination of the map
feature and conditional logic in your flow. Here's a basic outline of how to achieve this:
1. Map your task over some iterable, ensuring it returns True
or False
.
2. Aggregate the results and check if all are True
.
Here’s a small example:
python
from prefect import flow, task, get_run_logger
# Define a sample task that returns a boolean
@task
def sample_task(x):
return x % 2 == 0 # Just an example condition, can be any boolean-returning logic
# Flow to manage the mapped tasks
@flow
def check_all_true():
logger = get_run_logger()
# Assume there's an iterable you are mapping over, e.g. range(10)
results = sample_task.map(x=range(10))
# Check if all results are True
if all(results):
<http://logger.info|logger.info>("All task results are True!")
else:
<http://logger.info|logger.info>("Not all task results are True!")
# Running the flow
check_all_true()
In this example, replace x % 2 == 0
with your actual condition to evaluate each task. The important part is using all(results)
to check if all mapped results returned True
. The logger will output a message accordingly.
For more detailed info, consult the Prefect 2.x logging guide and the conceptual info on mapping tasks.
And remember, if your tasks are feeling all too "true," maybe it’s time to introduce some "falsehood" just to spice things up a bit. Not that we want chaos... just balance!Leanna Morinishi
11/28/2024, 7:40 AMresults = [PrefectFuture('sample-task-0'), PrefectFuture('sample-task-1')]
. I want to log a message only after all mapped tasks are completed. How can I do this?Marvin
11/28/2024, 7:40 AMPrefectFutures
to actual results. You can achieve this by using the result()
method of the PrefectFuture
objects. Here's how you can modify your flow to do this:
python
from prefect import flow, task, get_run_logger
@task
def sample_task(x):
return x % 2 == 0 # Example condition
@flow
def check_all_true():
logger = get_run_logger()
results_futures = sample_task.map(x=range(10))
# Resolve all futures to their results
results = [future.result() for future in results_futures]
# Check if all results are True
if all(results):
<http://logger.info|logger.info>("All task results are True!")
else:
<http://logger.info|logger.info>("Not all task results are True!")
# Running the flow
check_all_true()
In this approach, results_futures
is a list of PrefectFuture
objects, and calling .result()
on each one will block until the task is complete and the result is available. Only after all tasks complete, will the log message about whether all results are True
be printed. This ensures accurate logging based on the final results.
For more information, refer to Prefect Futures documentation where it explains working with futures and resolving their results.
Keep in mind, patience is indeed a virtue, though not one often found in computer code, but you can certainly make it wait obediently with this trick!