SmallBluewhale13 the final path is automatically generated, you only need to specify the bucket itself. By default it will be your "files_server"
https://github.com/allegroai/clearml/blob/c58e8a4c6a1294f8acec6ed9cba81c3b91aa2abd/docs/clearml.conf#L10
You can either change the configuration (which will make sure All uploaded artificats will always be there, including debug images etc.)
You can specify where you want the artifacts and debug images to be uploaded by setting:
https://allegro.ai/clearml/docs/rst/references/clearml_python_ref/logger_module/logger_logger.html#clearml.logger.Logger.set_default_upload_destination
Logger.set_default_upload_destination('s3://my_bucket')
You can also specify it for the entire Task, which will trigger automatic upload of the models to the same bucket with:
Task.init(..., upload_uri='s3://my_bucket')

I have a double sub_folder :
output_uri=' s3://my_bucket/sub_folder/sub_sub_folder '

Hmm, let me check something

yes

It should have ....

Hmm worked now...
When Task.init called with output_uri=' s3://my_bucket/sub_folder '
s3://my_bucket/sub_folder/examples/upload issue.4c746400d4334ec7b389dd6232082313/artifacts/test/test.json

This is how I wanted it to look:
output_uri="s3://company-clearml/artifacts/bethan/sales_journeys/filename.csv.gz

Tested with two sub folders, seems to work.
Could you please test with the latest RC:
pip install clearml==0.17.5rc4

It should have been:
output_uri="s3://company-clearml/artifacts/bethan/sales_journeys/artifacts/examples/load_artifacts.f0f4d1cd5eb54795b11508dd1e739145/artifacts/filename.csv.gz/filename.csv.gz

File final location
s3://company-clearml/artifacts/examples/load_artifacts.f0f4d1cd5eb54795b11508dd1e739145/artifacts/filename.csv.gz/filename.csv.gzTask Init command
task = Task.init( project_name="examples", task_name="load_artifacts", output_uri="s3://company-clearml/artifacts/bethan/sales_journeys/", )Upload artifact command
task.upload_artifact( filename.csv.gz, artifact_object=df, delete_after_upload=True, wait_on_upload=False )

So you are saying it ignored everything after the bucket's "/" ?

also will it always add
project/task.4c746400d4334ec7b389dd6232082313/artifacts/filename

Okay, let me check soemthing

What was the url you ended up with ?

Thanks I actually did this "Task.init(..., upload_uri=' s3://my_bucket ')" and it didn't work.

I lost you SmallBluewhale13 is this the Task init call you used:
task = Task.init( project_name="examples", task_name="load_artifacts", output_uri="s3://company-clearml/artifacts/bethan/sales_journeys/", )