AttributeError: 'NoneType' object has no attribute 'base_url'

can you print the model object ?
(I think the error is a bit cryptic, but generally it might be the model is missing an actual URL link?)
print(model.id, model.name, model.url)

It seems to fail when trying to download the model
local_download = StorageManager.get_local_copy(uri, extract_archive=False) File "/opt/venv/lib/python3.7/site-packages/clearml/storage/manager.py", line 47, in get_local_copy cached_file = cache.get_local_copy(remote_url=remote_url, force_download=force_download) File "/opt/venv/lib/python3.7/site-packages/clearml/storage/cache.py", line 55, in get_local_copy if helper.base_url == "file://":And based on the error I suspect the URL is incorrect (i.e. it failed to find a driver for it)
What's the exact URL (mask any private content) ?

S3 access would return a different error...
Can you do:
` from clearml.storage.helper import StorageHelper
helper = StorageHelper.get("s3://<bucket>/<foo>/local/<env>/<project-name>/v0-0-1/2022-05-12-30-9-rocketclassifier.7b7c02c4dac946518bf6955e83128bc2/models/2022-05-12-30-9-rocketclassifier.pkl.gz")

print("helper", helper) `

s3://<bucket>/<foo>/local/<env>/<project-name>/v0-0-1/2022-05-12-30-9-rocketclassifier.7b7c02c4dac946518bf6955e83128bc2/models/2022-05-12-30-9-rocketclassifier.pkl.gz

I had to modify the code a bit because I’m running this in a dagster pipeline but that print line put out: helper None

looks like I accidentally placed my clearml.conf file in a non-standard place so I had to set the CLEARML_CONFIG_FILE environment variable. Thanks for your help AgitatedDove14 !!

in case it’s helpful, the url is an S3 URI

I wonder if there’s an exception being caught by the final try/except block (below) but because I’m running it in dagster I’m not getting the logger output like I would normally:
` # Don't canonize URL since we already did it
try:
instance = cls(base_url=base_url, url=url, logger=logger, canonize_url=False, **kwargs)
except (StorageError, UsageError) as ex:
cls._get_logger().error(str(ex))
return None
except Exception as ex:
cls._get_logger().error("Failed creating storage object {} Reason: {}".format(
base_url or url, ex))
return None

cls._helpers[instance_key] = instance
return instance `

also, I can run this same code (same model) in a separate script (not in a docker container) with the AWS_PROFILE env variable set and load the model properly with joblib

ValueError: Missing key and secret for S3 storage access

Yes that makes sense, I think we should make sure we do not suppress this warning it is too important.
Bottom line missing configuration section in your clearml.conf

So the thing is, regardless of the link you should end with:
helper <clearml.storage.helper.StorageHelper object at 0x....>But the code that failed seemed to return None, which makes me suspect the url itself is somehow broken.
Any chance you have a space before the "s3://" ?
BTW : what's the clearml version you are using ?

ah, I just ran:
helper = StorageHelper(url=s3_uri, base_url=s3_uri) context.log.info(f"helper: {helper}")and I got:
ValueError: Missing key and secret for S3 storage access ( ) File "/opt/venv/lib/python3.7/site-packages/dagster/core/execution/plan/utils.py", line 44, in solid_execution_error_boundary yield File "/opt/venv/lib/python3.7/site-packages/dagster/utils/__init__.py", line 383, in iterate_with_context next_output = next(iterator) File "/opt/venv/lib/python3.7/site-packages/dagster/core/execution/plan/compute_generator.py", line 65, in _coerce_solid_compute_fn_to_iterator result = fn(context, **kwargs) if context_arg_provided else fn(**kwargs) File "orchestrate/pipelines/adoption_risk_score.py", line 111, in main model, model_name, days_in_period = identify_current_model(context.solid_config["target_tags"], context) File "orchestrate/pipelines/adoption_risk_score.py", line 60, in identify_current_model helper = StorageHelper(url=s3_uri, base_url=s3_uri) File "/opt/venv/lib/python3.7/site-packages/clearml/storage/helper.py", line 352, in __init__ "Missing key and secret for S3 storage access (%s)" % base_url

For that reason I suspect there is a silent error trying to grab boto3 credentials.

my pleasure

I just checked for white space at the beginning or end of the url but there are none

clearml==1.4.1

I have already successfully printed model.name though I didn’t try the other ones.