v0.10.0

• Added Functionality to export any dashboards-as-code into CSV (#269). The DashboardMetadata class now includes a new method, export_to_zipped_csv, which enables exporting any dashboard as CSV files in a ZIP archive. This method accepts sql_backend and export_path as parameters and exports dashboard queries to CSV files in the specified ZIP archive by iterating through tiles and fetching dashboard queries if the tile is a query. To ensure the proper functioning of this feature, unit tests and manual testing have been conducted. A new test, test_dashboards_export_to_zipped_csv, has been added to verify the correct export of dashboard data to a CSV file.
• Added support for generic types in SqlBackend (#272). In this release, we've added support for using rich dataclasses, including those with optional and generic types, in the SqlBackend of the StatementExecutionBackend class. The new functionality is demonstrated in the test_supports_complex_types unit test, which creates a Nested dataclass containing various complex data types, such as nested dataclasses, datetime objects, dict, list, and optional fields. This enhancement is achieved by updating the save_table method to handle the conversion of complex dataclasses to SQL statements. To facilitate type inference, we've introduced a new StructInference class that converts Python dataclasses and built-in types to their corresponding SQL Data Definition Language (DDL) representations. This addition simplifies data definition and manipulation operations while maintaining type safety and compatibility with various SQL data types.

Contributors: @jgarciaf106, @nfx