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When running an OpenFGA solution in a production environment, you will get questions like "How come user:xxx has a relation to object:yyy" or the inverse of that. What do you think is the best approach to service these questions?
There will be a lot of tuples in a production environment, and manually going over them to identify all that is important to answer that question is quite cumbersome. I'm looking for an explanation provided by the ACL resolution path or the Full tree in the playground if you don't mind. Is such a thing possible using the API, or is there a playbook of different sets of API calls that will result in the data to determine where we could have a model or a tuple flaw?
I tried the fga query list-relations and the fga query expand but could not get the same helpful result
Thinking a bit more about this question, or maybe this is a second question. Given user:xxx what is it related to directly or indirectly and apply some filters on top of that cause the result can be quite big I imagine.
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Hello all 👋,
When running an OpenFGA solution in a production environment, you will get questions like "How come user:xxx has a relation to object:yyy" or the inverse of that. What do you think is the best approach to service these questions?
There will be a lot of tuples in a production environment, and manually going over them to identify all that is important to answer that question is quite cumbersome. I'm looking for an explanation provided by the ACL resolution path or the Full tree in the playground if you don't mind. Is such a thing possible using the API, or is there a playbook of different sets of API calls that will result in the data to determine where we could have a model or a tuple flaw?
I tried the
fga query list-relations
and thefga query expand
but could not get the same helpful resultThinking a bit more about this question, or maybe this is a second question. Given user:xxx what is it related to directly or indirectly and apply some filters on top of that cause the result can be quite big I imagine.
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