Hello! In GitLab CI/CD, we have the option of manually trigger a job if a previous one succeeded (

needs

) and we set

when

to manual. Is there a similar workflow in Dagster for

ops

inside a job? My use case is to train a model and output/log some validation results and choose to manually trigger an

op

to deploy the model. This is a compliance requirement. Both

ops

are called from the same

job

. The alternative would be load the output of an

op

in

train_job

in an

op

called from

deploy_job

. Is this possible? Using I/O managers maybe? Any other suggestions?

Hi Eduardo. You could do this using the second approach you mentioned--you could have a downstream

deploy_job

with an op that has an unconnected input (https://docs.dagster.io/concepts/io-management/unconnected-inputs#providing-an-input-manager-for-an-unconnected-input) that reads from the ML model.

Unfortunately moving to assets would entail a big refactoring, which I don't have time right now 🙁 I ended up writing what I needed to a db But I will have a look at those unconnected Inputs, thanks for the tip!