aws / aws/amazon-sagemaker-examples

[Bug Report] Chained Streaming Labeling Job Issue

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Dominant language
Jupyter Notebook
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Description

**Link to the notebook**
[Add the link to the notebook.](https://github.com/aws/amazon-sagemaker-examples/blob/main/ground_truth_labeling_jobs/ground_truth_streaming_labeling_jobs/ground_truth_create_chained_streaming_labeling_job.ipynb)

**Describe the bug**
I am running a example notebook above, using the DEFAULT = True. I have replaced the WORKTEAM)ARN with my private team arn and I left the rest as per the example. The jobs are generated fine, SNS and SQS setup correctly. However, when I push the first image ( as per the example) via the SNS the job object count increases ( which is expected) BUT it displayed failed on the console. I am not sure what is the issue.

**To reproduce**
See above

**Logs**
If applicable, add logs to help explain your problem.
You may also attach an `.ipynb` file to this issue if it includes relevant logs or output.

Contributor guide

Open the contributing guide

Research direction

Start with ground_truth_labeling_jobs/ground_truth_streaming_labeling_jobs/ground_truth_create_chained_streaming_labeling_job.ipynb and reproduce the first-image flow using DEFAULT = True and the private work team ARN. Inspect the SageMaker console result along with the SNS and SQS setup, then collect the missing logs or notebook output. Done means the first pushed image creates a job that does not fail, or the failure cause is documented.

Written by the indexing model from the issue text.

Assessment

Tech stack
aws, jupyter-notebook
Domain
cloud, machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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