Simular to my other issue I posted on Python SDK channel, there are things that used to work just fine when I ran my script a few months ago, but now are not.
I am getting “Access Denied” errors in the Labelbox UI for create_data_rows(). Nothing changed on my end, I double checked my existing integration was working (it says it is connected when I refreshed it). For good measure I re-made it, and it says connected. But programmatically it does not seem to work.
Any advice? Thanks!
Hey @xavier.nogueira ,
Is this a GCP bucket or another provider?
GCP bucket. Thanks for hopping on this!
Should have asked before, do you have the dataset id you have issues with?
And the name of the integration?
datasetID=“clvdcc6uw002g0770q2cfuz9v” (for now, that is the testing one, then I will make a new one).
Integration: name=“ml_cam_data” , id=“clwgt9o6a003o072de9sh3aeg”
So the dataset provided seems to have a different integration set to it.
name: gs ml_satellite_data
id:clbc897ue1cs5080dhm1wet7s
And the data contained is within the Labelbox storage as suppose to your bucket (might be one of your test) I don’t see any data row in an error state? If you can upload a sample (in the right bucket) I can take a look at the error.
Oh I see its super easy to switch it in the UI. Thanks! I made a mountain out of a mole hill lol. It works fine.