Release v0.14.1

* Changes to work with Databricks SDK `v0.38.0` ([#350](#350)). In this release, we have upgraded the Databricks SDK to version 0.38.0 from version 0.37.0 to ensure compatibility with the latest SDK and address several issues. The update includes changes to make the code compatible with the new SDK version, removing the need for `.as_dict()` method calls when creating or updating dashboards and utilizing a `sdk_dashboard` variable for interacting with the Databricks workspace. We also updated the dependencies to "databricks-labs-blueprint[yaml]" package version greater than or equal to 0.4.2 and `sqlglot` package version greater than or equal to 22.3.1. The `test_core.py` file has been updated to address multiple issues ([#349](#349) to [#332](#332)) related to the Databricks SDK and the `test_dashboards.py` file has been revised to work with the new SDK version. These changes improve integration with Databricks' lakeview dashboards, simplify the code, and ensure compatibility with the latest SDK version, resolving issues [#349](#349) to [#332](#332).
* Specify the minimum required version of `databricks-sdk` as 0.37.0 ([#331](#331)). In this release, we have updated the minimum required version of the `databricks-sdk` package to 0.37.0 from 0.29.0 in the `pyproject.toml` file to ensure compatibility with the latest version. This change was made necessary due to updates made in issue [#320](#320). To accommodate any patch release of `databricks-sdk` with a major and minor version of 0.37, we have updated the dependency constraint to use the `~=` operator, resolving issue [#330](#330). These changes are intended to enhance the compatibility and stability of our software.

CHANGELOG.md

@@ -1,5 +1,11 @@
 # Version changelog
 
+## 0.14.1
+
+* Changes to work with Databricks SDK `v0.38.0` ([#350](https://github.com/databrickslabs/lsql/issues/350)). In this release, we have upgraded the Databricks SDK to version 0.38.0 from version 0.37.0 to ensure compatibility with the latest SDK and address several issues. The update includes changes to make the code compatible with the new SDK version, removing the need for `.as_dict()` method calls when creating or updating dashboards and utilizing a `sdk_dashboard` variable for interacting with the Databricks workspace. We also updated the dependencies to "databricks-labs-blueprint[yaml]" package version greater than or equal to 0.4.2 and `sqlglot` package version greater than or equal to 22.3.1. The `test_core.py` file has been updated to address multiple issues ([#349](https://github.com/databrickslabs/lsql/issues/349) to [#332](https://github.com/databrickslabs/lsql/issues/332)) related to the Databricks SDK and the `test_dashboards.py` file has been revised to work with the new SDK version. These changes improve integration with Databricks' lakeview dashboards, simplify the code, and ensure compatibility with the latest SDK version, resolving issues [#349](https://github.com/databrickslabs/lsql/issues/349) to [#332](https://github.com/databrickslabs/lsql/issues/332).
+* Specify the minimum required version of `databricks-sdk` as 0.37.0 ([#331](https://github.com/databrickslabs/lsql/issues/331)). In this release, we have updated the minimum required version of the `databricks-sdk` package to 0.37.0 from 0.29.0 in the `pyproject.toml` file to ensure compatibility with the latest version. This change was made necessary due to updates made in issue [#320](https://github.com/databrickslabs/lsql/issues/320). To accommodate any patch release of `databricks-sdk` with a major and minor version of 0.37, we have updated the dependency constraint to use the `~=` operator, resolving issue [#330](https://github.com/databrickslabs/lsql/issues/330). These changes are intended to enhance the compatibility and stability of our software.
+
+
 ## 0.14.0
 
 * Added nightly tests run at 4:45am UTC ([#318](https://github.com/databrickslabs/lsql/issues/318)). A new nightly workflow has been added to the codebase, designed to automate a series of jobs every day at 4:45am UTC on the `larger` environment. The workflow includes permissions for writing id-tokens, accessing issues, reading contents and pull-requests. It checks out the code with a full fetch-depth, installs Python 3.10, and uses hatch 1.9.4. The key step in this workflow is the execution of nightly tests using the databrickslabs/sandbox/acceptance action, which creates issues if necessary. The workflow utilizes several secrets, including VAULT_URI, GITHUB_TOKEN, ARM_CLIENT_ID, and ARM_TENANT_ID, and sets the TEST_NIGHTLY environment variable to true. Additionally, the workflow is part of a concurrency group called "single-acceptance-job-per-repo", ensuring that only one acceptance job runs at a time per repository.

src/databricks/labs/lsql/__about__.py

@@ -1 +1 @@
-__version__ = "0.14.0"
+__version__ = "0.14.1"