Low-code Python library to safely use notebooks in production: schedule workflows, generate assets, trigger webhooks, send notifications, build pipelines, manage secrets (Cloud-only)
GNU Affero General Public License v3.0
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naas.pipeline() : Throw exception on error in production mode (scheduling) #371
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FlorentLvr closed 1 year ago
Pipeline execution is not stopped once there is an error on one of this NotebookStep().
If the pipeline is scheduled (production mode), the job status returned will be "👌 Completed" instead of "❌ Error"
The person in charge of this pipeline will have no clue to know something went wrong.