import openpyxl

class XL:
    def __init__(self, file_path: str):
        """
        Initialize the class with the path to the Excel file.
        """
        self.file_path = file_path
        self.workbook = None

    def __enter__(self):
        """
        Open the workbook when entering the context.
        """
        self.workbook = openpyxl.load_workbook(self.file_path)
        return self

    def __exit__(self, exc_type, exc_val, exc_tb):
        """
        Close the workbook when exiting the context.
        """
        if self.workbook:
            self.workbook.close()

    def sheet_to_dict(self, sheet_name: str):
        """
        Convert a sheet's data to a dictionary, removing rows with None values.
        """
        if not self.workbook:
            raise ValueError("Workbook is not loaded. Ensure you use 'with' to open the file.")
        
        if sheet_name not in self.workbook.sheetnames:
            raise ValueError(f"Sheet '{sheet_name}' not found in the workbook.")
        
        sheet = self.workbook[sheet_name]
        headers = [cell.value for cell in sheet[1] if cell.value is not None]
        
        data_list = []
        for row in sheet.iter_rows(min_row=2, values_only=True):
            row_dict = {headers[i]: cell for i, cell in enumerate(row) if i < len(headers)}
            # Remove keys with None values
            row_dict = {key: value for key, value in row_dict.items() if value is not None}
            if row_dict:  # Only include non-empty rows
                data_list.append(row_dict)
        
        return data_list