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Add a databricks-labs-pytester dependency to your pyproject.toml file (or legacy requirements.txt file). You can also install it directly from the command line:
If you use hatch as a build system, make sure to add databricks-labs-pytester as a test-time dependency and not as a compile-time dependency, otherwise your wheels will transitively depend on pytest, which is not usually something you need.
Built on top of Databricks SDK for Python, this library is part of the Databricks Labs Python ecosystem, which includes the following projects:
PyTest Fixtures are a powerful way to manage test setup and teardown in Python. This library provides a set of fixtures to help you write integration tests for Databricks. These fixtures were incubated within the Unity Catalog Automated Migrations project for more than a year and are now available for other projects to simplify integration testing with Databricks.
That's why it comes with a built-in logger that traces creation and deletion of dummy entities through links in the Databricks Workspace UI. If you run the following code:
