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Add documentation for exclude flag #265
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✅ 34/34 passed, 3 flaky, 3 skipped, 8m1s total Flaky tests:
Running from acceptance #373 |
nfx
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Sep 4, 2024
* Added documentation for exclude flag ([#265](#265)). A new `exclude` flag has been added to the configuration of our tool/system, allowing users to specify a path to exclude from formatting, enhancing customizability. Additionally, the descriptions of the `catalog` and `database` flags have been improved for better grammar and clarity. The `exclude` flag is particularly useful in scenarios requiring separate catalogs or databases, such as for production and development. These changes provide improved clarity, readability, and utility for users in configuring and utilizing the available options. It is important to note that no new methods have been added and the existing functionality remains unchanged, except for the updated descriptions.
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nfx
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Sep 4, 2024
* Added documentation for exclude flag ([#265](#265)). A new `exclude` flag has been added to the configuration file for our lab tool, allowing users to specify a path to exclude from formatting during lab execution. This release also includes corrections to grammatical errors in the descriptions of existing flags related to catalog and database settings, such as updating `seperated` to "separate". Additionally, the flag descriptions for `publish` and `open-browser` have been updated for clarification: `publish` now clearly controls whether the dashboard is published after creation, while `open-browser` controls whether the dashboard is opened in a web browser. These changes are aimed at improving user experience and ease of use for our lab tool. * Fixed dataclass field type in _row_to_sql ([#266](#266)). In this release, we have addressed an issue related to [#257](#257) by fixing the dataclass field type in the `_row_to_sql` method of the `backends.py` file. Additionally, we have made updates to the `_schema_for` method to use a new `_field_type` class method. This change resolves a rare problem where the `field.type` is a string instead of a type and ensures compatibility with a pull request from an external repository (<databrickslabs/ucx#2526>). The new `_field_type` method attempts to load the type from `__builtins__` if it's a string and logs a warning if it fails. The `_row_to_sql` method now consistently uses the `_field_type` method to get the field type. This ensures that the library functions seamlessly and consistently, avoiding any potential issues in the future.
nfx
added a commit
that referenced
this pull request
Sep 4, 2024
* Added documentation for exclude flag ([#265](#265)). A new `exclude` flag has been added to the configuration file for our lab tool, allowing users to specify a path to exclude from formatting during lab execution. This release also includes corrections to grammatical errors in the descriptions of existing flags related to catalog and database settings, such as updating `seperated` to "separate". Additionally, the flag descriptions for `publish` and `open-browser` have been updated for clarification: `publish` now clearly controls whether the dashboard is published after creation, while `open-browser` controls whether the dashboard is opened in a web browser. These changes are aimed at improving user experience and ease of use for our lab tool. * Fixed dataclass field type in _row_to_sql ([#266](#266)). In this release, we have addressed an issue related to [#257](#257) by fixing the dataclass field type in the `_row_to_sql` method of the `backends.py` file. Additionally, we have made updates to the `_schema_for` method to use a new `_field_type` class method. This change resolves a rare problem where the `field.type` is a string instead of a type and ensures compatibility with a pull request from an external repository (<databrickslabs/ucx#2526>). The new `_field_type` method attempts to load the type from `__builtins__` if it's a string and logs a warning if it fails. The `_row_to_sql` method now consistently uses the `_field_type` method to get the field type. This ensures that the library functions seamlessly and consistently, avoiding any potential issues in the future.
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