This pull request introduces several improvements and fixes to the Excel file reading logic in both the core and worker modules, with a focus on handling headers, row selection, and column naming for various engines. It also adds new and updated tests to ensure correct behavior, especially for edge cases involving header rows and date-typed columns.

Excel reading logic improvements:

• Refactored the way header row and has_header options are passed to the pl.read_excel function when using the xlsx2csv engine, ensuring that has_header is passed directly as a top-level argument rather than within read_options. This change is applied to both flowfile_core and flowfile_worker modules. [1] [2]
• Improved handling of column names when reading Excel files with the calamine engine by ensuring columns are uniquely named and, in the core module, by using a custom header row extraction via raw_data_openpyxl. [1] [2]

Testing enhancements:

• Updated all Excel-related tests to use a consistent SUPPORT_FILES path variable, and standardized string formatting and parameter usage for better readability and maintainability. [1] [2]
• Added new tests to cover edge cases: reading Excel files where the second row contains date types, and verifying column naming when headers are absent.

Dependency management:

• Added xlsx2csv as a new dependency in pyproject.toml to support the CSV-based Excel reading engine.