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Release v0.10.0 #184

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Jan 13, 2025
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9 changes: 9 additions & 0 deletions CHANGELOG.md
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# Version changelog

## 0.10.0

* Fixed incorrect script for no-pylint-disable ([#178](https://github.com/databrickslabs/blueprint/issues/178)). In this release, we have updated the script used in the `no-cheat` GitHub workflow to address false positives in stacked pull requests. The updated script fetches the base reference from the remote repository and generates a diff between the base reference and the current branch, saving it to a file. It then runs the "no_cheat.py" script against this diff file and saves the results to a separate file. If the count of cheats (instances where linting has been intentionally disabled) is greater than one, the script outputs the contents of the results file and exits with a non-zero status, indicating an error. This change enhances the accuracy of the script and ensures it functions correctly in a stacked pull request scenario. The `no_cheat` function, which checks for the presence of certain pylint disable tags in a given diff text, has been updated to the latest version from the ucx project to improve accuracy. The function identifies tags by looking for lines starting with `-` or "+" followed by the disable tag and a list of codes, and counts the number of times each code is added and removed, reporting any net additions.
* Skip dataclassess fields only when `None` ([#180](https://github.com/databrickslabs/blueprint/issues/180)). In this release, we have implemented a change that allows for the skipping of dataclass fields only when the value is `None`, enabling the inclusion of empty lists, strings, or zeros during marshalling. This modification is in response to issue [#179](https://github.com/databrickslabs/blueprint/issues/179) and involves adding a check for `None` before marshalling a dataclass field. Specifically, the previous condition `if not raw:` has been replaced with `if raw is None:`. This change ensures that empty values such as `[]`, `''`, or `0` are not skipped during the serialization process, unless they are explicitly set to `None`. This enhancement provides improved compatibility and flexibility for users working with dataclasses containing empty values, allowing for more fine-grained control during the serialization process.

Dependency updates:

* Bump codecov/codecov-action from 4 to 5 ([#174](https://github.com/databrickslabs/blueprint/pull/174)).

## 0.9.3

* Fixed issue when Databricks SDK config objects were overridden for installation config files ([#170](https://github.com/databrickslabs/blueprint/issues/170)). This commit addresses an issue where Databricks SDK config objects were being overridden during installation config files creation, which has been resolved by modifying the `_marshal` method in the `installation` class to handle `databricks.sdk.core.Config` instances more carefully, and by introducing a new helper function `get_databricks_sdk_config` in the `paths.py` file, which retrieves the Databricks SDK configuration and improves the reliability and robustness of the SDK configuration. This fixes bug [#169](https://github.com/databrickslabs/blueprint/issues/169) and ensures that the SDK configuration is not accidentally modified during the installation process, preventing unexpected behavior and errors. The changes are isolated to the `paths.py` file and do not affect other parts of the codebase.
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2 changes: 1 addition & 1 deletion src/databricks/labs/blueprint/__about__.py
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__version__ = "0.9.3"
__version__ = "0.10.0"
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