When creating ontologies bigger than 250 models, the users can now choose to prevent the rollback when a failure happens. This can be done as passing in failure-policy parameter as 'None'. This means that if a failure occurs while creating a batch of models, the models created in previous batches will not be deleted and continue to exist on the DT instance.
This checklist is used to make sure that common guidelines for a pull request are followed.
General Guidelines
Intent for Production
[ ] It is expected that pull requests made to default or core branches such as dev or main are of production grade. Corollary to this, any merged contributions to these branches may be deployed in a public release at any given time. By checking this box, you agree and commit to the expected production quality of code.
Basic expectations
[ ] If introducing new functionality or modified behavior, are they backed by unit and/or integration tests?
[ ] In the same context as above are command names and their parameter definitions accurate? Do help docs have sufficient content?
[ ] Have all the relevant unit and integration tests pass? i.e. pytest <project root> -vv. Please provide evidence in the form of a screenshot showing a succesful run of tests locally OR a link to a test pipeline that has been run against the change-set.
[ ] Have linter checks passed using the .pylintrc and .flake8 rules? Look at the CI scripts for example usage.
[ ] Have extraneous print or debug statements, commented out code-blocks or code-statements (if any) been removed from the surface area of changes?
[ ] Have you made an entry in HISTORY.rst which concisely explains your user-facing feature or change?
Azure IoT CLI maintainers reserve the right to enforce any of the outlined expectations.
A PR is considered ready for review when all basic expectations have been met (or do not apply).
When creating ontologies bigger than 250 models, the users can now choose to prevent the rollback when a failure happens. This can be done as passing in failure-policy parameter as 'None'. This means that if a failure occurs while creating a batch of models, the models created in previous batches will not be deleted and continue to exist on the DT instance.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.
Thank you for contributing to the IoT extension!
This checklist is used to make sure that common guidelines for a pull request are followed.
General Guidelines
Intent for Production
devormainare of production grade. Corollary to this, any merged contributions to these branches may be deployed in a public release at any given time. By checking this box, you agree and commit to the expected production quality of code.Basic expectations
pytest <project root> -vv. Please provide evidence in the form of a screenshot showing a succesful run of tests locally OR a link to a test pipeline that has been run against the change-set..pylintrcand.flake8rules? Look at the CI scripts for example usage.Azure IoT CLI maintainers reserve the right to enforce any of the outlined expectations.
A PR is considered ready for review when all basic expectations have been met (or do not apply).