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Given a Map (with the parameter `trigger` setup t...
# ask-community
a
Given a Map (with the parameter 
trigger
setup to 
any_successful
), how could I deal with those tasks with the 
TRIGGERFAIL
result? Could I make something like 
if TRIGGERFAIL: then ...
?
n
Hi @Alberto de Santos - you could perhaps use 2 triggers, one for 
any_successful
, and one to catch 
TRIGGERFAIL
- you'll need a custom method for this, following the signature:
Copy code
trigger_fn(upstream_states: Set[State]) -> bool
You can read more about that here, here, and here.
a
Thanks, I read all those links. Let me again go through them and ask you questions!
However, @nicholas, the problem is that, when 
trigger=any_successful
, I collect also those with 
TRIGGERFAIL
. So I don’t see how to deal ONLY with those that were successful, neglecting those not successful. I can smell I am close to the answer 🙂
n
From your other thread: https://prefect-community.slack.com/archives/CL09KU1K7/p1602943349186800 but in this case you could add another task to handle successful like this:
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import prefect
from prefect import Flow, task

@task
def return_list():
    return [1, 2, 3, 4]

@task(trigger=prefect.triggers.all_successful)
def parse_value(val):
    if val % 2 != 0:
        raise ValueError("Value is not even!")
    return val

@task(trigger=prefect.triggers.any_failed)
def catch_error(val):
    print(f"Do something with this value error: {val}")

@task(trigger=prefect.triggers.all_successful)
def catch_success(val):
  print("Do something with successful")

with Flow("Raise error on Odd") as flow:
    my_list = return_list()
    def_list = parse_value.map(my_list)
    catch_error.map(def_list)
    catch_success.map(def_list)

flow.run()
a
Thanks! Although it is incomplete precisely the part I am interested in:
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@task(trigger= MISSING!!)
def catch_success(val):
Thanks :)
n
sorry, hit enter too soon
a
you are amazing! Thanks!
😄 1
[2020-10-19 160750] INFO - prefect.TaskRunner | Task ‘get_micro_adjustments[0]‘: Starting task run... [2020-10-19 160750] INFO - prefect.TaskRunner | Task ‘get_micro_adjustments[0]’: finished task run for task with final state: ‘Success’ [2020-10-19 160750] INFO - prefect.TaskRunner | Task ‘get_micro_adjustments[1]‘: Starting task run... [2020-10-19 160750] INFO - prefect.TaskRunner | Task ‘get_micro_adjustments[1]’: finished task run for task with final state: ‘TriggerFailed’ [2020-10-19 160751] INFO - prefect.TaskRunner | Task ‘get_micro_adjustments[2]‘: Starting task run... [2020-10-19 160751] INFO - prefect.TaskRunner | Task ‘get_micro_adjustments[2]’: finished task run for task with final state: ‘Success’
I tried your 
catch_success
approach here (in a 
map
context). However, as you see, there is still some 
TriggerFailed
which I can’t explain.
n
Can you share some minimum code?
a
sure 🙂
Bbut only a minimum haha
Don’t want to be embarrased!
n
No need to feel embarrassed, we're all learning!
This'll help me figure out where something might be happening unexepctedly
a
sure!
Copy code
@task(trigger=all_successful)
def get_micro_adjustments(baco):
   return baco.get_micro_adjustments(baco.get_threshold())

@task(trigger=all_successful, log_stdout=True)
def reduce_micro_adjustments(micro_adjustments):
    # pd stands for Pandas
    total_micro_adjustments = pd.concat(micro_adjustments)
These are the Tasks
Copy code
# Definir el Flow
with Flow(self.name_flow, environment=env) as flow:

   map_of_baco_per_competicion = \
   self.create_baco.map(competicion = [competicion for competicion in listado_competiciones if competicion not in ['Baco', 'Olimpo', 'Zeus', 'Cronos']],
                   _config = unmapped(self._config))

   micro_adjustments = \
   self.get_micro_adjustments.map(baco = map_of_baco_per_competicion)

   self.reduce_micro_adjustments(micro_adjustments)
This is the flow
[2020-10-19 160752] INFO - prefect.TaskRunner | Task ‘reduce_micro_adjustments’: finished task run for task with final state: ‘TriggerFailed’ [2020-10-19 160752] INFO - prefect.FlowRunner | Flow run FAILED: some reference tasks failed.
Notice also that the 
reduce_micro_adjustments
fails due to the 
TriggerFailed
When I use 
all_successful
, it fails because “some of the upstream tasks failed” When I use 
any_successful
, it fails because “none of the upsteam tasks was successful” (which probably it is part in a portion of the 
map
)
n
Hm, where is 
micro_apuestas
coming from? I don't see that defined.
a
sorry, micro_apuestas -> micro_adjustments
now 🙂
n
Got it @Alberto de Santos - I misunderstood your question. What you can do instead is collect your failed tasks with some filter method, like:
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@task(trigger=some_successful)
def collect_failures(results):
  return filter(lambda r: r["success"] == True, results)
and then map over that list without a trigger:
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@task()
def some_operation(god):
  return {"god": god, "success": god is not 'Baco'}

with Flow("..") as flow:
  results = some_operation.map(['Baco', 'Olimpo', 'Zeus', 'Cronos'])
  
  failures = collect_failures(results)
  # then you can map over the failures with .map(failures)
But using whatever condition you need for failure
a
uhm! Very interesting and I really appreciate your help. Let me test it
By the way, Baco is a god. One of the best: The god of the wine, the orgies, the parties and also the god of the randomness/games/etc…
The word “Bacchanal” in english is after him
And by the way and based in your opinion: • Do you think what I am pursuing is worth doing? • Do you think there is a better way to do it?
n
And Bacchus in Latin. 🙂
or Dionysus in Greek 🙂
a
Exactly, Baco is in Spanish
😄 1
n
It depends on your end goal with your flow @Alberto de Santos - I don't think it's a terrible pattern to adopt but if it's intermittent failures that you're trying to avoid, I think it makes more sense to use something like retries
a
Thanks, I see, but in this case, if it fails, it would fail forever (in some cases, retries is useful, for sure), but not in this case
What is not clear to me is the following (don’t see it in the doc): • Difference between 
any_successful
and 
some_successful
And the difference between 
triggers
and 
if-else
, for instance. I am sure there is an obvious difference, but not to me
n
any_successful
does what you're expecting (any of the upstream tasks are successful) while 
some_successful
(and 
some_failed
) allows you to specify how many upstream tasks must be succesful, min or max
a
My understanding why 
any_successful
is not working as expected with 
map
is (imho) that when the map is done, some tasks can be all of them not successful, and then everything fails.
n
I'd encourage you to read the docs on each of those (triggers and conditionals) - there are definitely some similarities. That sounds correct @Alberto de Santos - if no tasks succeed, the downstream tasks will end in 
TriggerFailed
states
a
Thanks, Nicholas, I promised I read the documentation (several times), but wasn’t enough for me (notice my profile is not so skilled in programming as people in this forum)
n
No worries at all! I would boil the difference between the two down to: Triggers are used to determine whether a task should run based on upstream states while Conditionals are used to determine whether a task should run based on upstream data
a
Amazing, thanks, then I have a clearer understanding that it is Trigger the thing I should use
Thanks!
n
😄
a
In the end (and obviously with your incredible help), I managed to do it!!
Lessons learned: • Built-in Triggers (
any_successful
, …) should be regarded as Vertical checks, in terms of assessing to what extent a sequences of 
Tasks
have been successful or failed. • 
Map
are many tasks but at the same time, and thus, when I was checking if them were or not successful, I was indeed checking different things. The tasks belonging to a 
map
are just a level in a sequence of Vertical Tasks • 
FilterTask
is what helped me filter out those Tasks coming from a non-TriggerFailed status.
Very helpful
n
You nailed it, well done!
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