aws / aws/amazon-sagemaker-examples
[Bug Report] Chained Streaming Labeling Job Issue
- Dominant language
- Jupyter Notebook
- Stars
- 11k
- Forks
- 7k
- Avg merge
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- Merged PRs (30d)
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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
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