Endless loop when try to deploy a sagemaker pipeline from a windows machine #4799
Description
Describe the bug
When trying to deploy a sagemaker pipeline from the local machine (windows) to the cloud, an infinite loop will happen.
To reproduce
Must be a Windows Machine.
Imports:
from sagemaker.estimator import Estimator
from sagemaker.workflow.pipeline import Pipeline
Code:
estimator = Estimator(...)
train_args = estimator.fit(...)
step_train = TrainingStep(...)
pipeline = Pipeline(...)
pipeline.upsert(...) --> will stop here an wait endless
The while loop here: src/sagemaker/_studio.py in _find_config() waits because there is no STUDIO_PROJECT_CONFIG available.
Expected behavior
Upload pipeline works and be able to start pipeline execution.
Screenshots or logs
A ... never be true because root path is "E:/"
B ... working directory will never change to "/" to be able to escape the while loop
System information
A description of your system. Please provide:
- SageMaker Python SDK version: 2.226.1
- Framework name (eg. PyTorch) or algorithm (eg. KMeans): -
- Framework version: -
- Python version: 3.12.0
- CPU or GPU: CPU
- Custom Docker image (Y/N): Y
Additional context
If manually skip the while-loop in "src/sagemaker/_studio.py" _find_config(), the pipeline will start executing as expected