Release v0.6.0

[nfx]

• Added upstream wheel uploads for Databricks Workspaces without Public Internet access (#99). This commit introduces a new feature for uploading upstream wheel dependencies to Databricks Workspaces without Public Internet access. A new flag has been added to upload functions, allowing users to include or exclude dependencies in the download list. The WheelsV2 class has been updated with a new method, upload_wheel_dependencies(prefixes), which checks if each wheel's name starts with any of the provided prefixes before uploading it to the Workspace File System (WSFS). This feature also includes two new tests to verify the functionality of uploading the main wheel package and dependent wheel packages, optimizing downloads based on specific use cases. This enables users to more easily use the package in offline environments with restricted internet access, particularly for Databricks Workspaces with extra layers of network security.
• Fixed bug for double-uploading of unreleased wheels in air-gapped setups (#103). In this release, we have addressed a bug in the upload_wheel_dependencies method of the WheelsV2 class, which caused double-uploading of unreleased wheels in air-gapped setups. This issue occurred due to the condition if wheel.name == self._local_wheel.name not being met, resulting in undefined behavior. We have introduced a cached property _current_version to tackle this bug for unreleased versions uploaded to air-gapped workspaces. We also added a new method, upload_to_wsfs(), that uploads files to the workspace file system (WSFS) in the integration test. This release also includes new tests to ensure that only the Databricks SDK is uploaded and that the number of installation files is correct. These changes have resolved the double-uploading issue, and the number of installation files, Databricks SDK, Blueprint, and version.json metadata are now uploaded correctly to WSFS.

[github-actions]

✅ 12/12 passed, 2 skipped, 22s total

_{Running from acceptance #131}