* Added filter spec implementation ([#276](https://github.com/databrickslabs/lsql/issues/276)). In this commit, a new `FilterHandler` class has been introduced to handle filter files with the suffix `.filter.json`, which can parse filter specifications in the header of the filter file and validate the filter columns and types. The commit also adds support for three types of filters: `DATE_RANGE_PICKER`, `MULTI_SELECT`, and `DROPDOWN`, which can be linked with multiple visualization widgets. Additionally, a `FilterTile` class has been added to the `Tile` class, which represents a filter tile in the dashboard and includes methods to validate the tile, create widgets, and generate filter encodings and queries. The `DashboardMetadata` class has been updated to include a new method `get_datasets()` to retrieve the datasets for the dashboard. These changes enhance the functionality of the dashboard by adding support for filtering data using various filter types and linking them with multiple visualization widgets, improving the customization and interactivity of the dashboard, and making it more user-friendly and efficient.
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