How to use the cliboa.util.exception.InvalidFormat function in cliboa

def test_execute_ng_invalid_extension(self):
        with pytest.raises(InvalidFormat) as execinfo:
            try:
                # create test file
                os.makedirs(self._data_dir)
                excel_file = os.path.join(self._data_dir, "test.xlxs")
                open(excel_file, "w").close()
                excel_file2 = os.path.join(self._data_dir, "test.xlxs.bk")
                open(excel_file2, "w").close()

                # set the essential attributes
                instance = ExcelConvert()
                Helper.set_property(instance, "logger", LisboaLog.get_logger(__name__))
                Helper.set_property(instance, "src_dir", self._data_dir)
                Helper.set_property(instance, "src_pattern", "test\.xlxs")
                Helper.set_property(instance, "dest_dir", self._data_dir)
                Helper.set_property(instance, "dest_pattern", "test.xlxs")
                instance.execute()

if len(target_files) == 0:
            raise InvalidCount(
                "An input file %s does not exist."
                % os.path.join(self._src_dir, self._src_pattern)
            )
        elif len(target_files) > 1:
            self._logger.error("Hit target files %s" % target_files)
            raise InvalidCount("Input files must be only one.")
        self._logger.info(
            "A target file to be converted: %s" % os.path.join(target_files[0])
        )

        # convert
        _, dest_ext = os.path.splitext(self._dest_pattern)
        if dest_ext != ".csv":
            raise InvalidFormat(
                "%s is not supported format in %s. The supported format is .csv"
                % (dest_ext, self._dest_pattern)
            )

        df = pandas.read_excel(target_files[0], encoding=self._encoding)
        dest_path = os.path.join(self._dest_dir, self._dest_pattern)
        self._logger.info("Convert %s to %s" % (target_files[0], dest_path))
        df.to_csv(dest_path, encoding=self._encoding)

insert_data = {
            "column1": [1, 2],
            "column2": ["spam", "spam"],
            ...
        }

        Args
            cache_list: dictionary list of input cache
        """
        insert_data = {}
        columns = [name_and_type["name"] for name_and_type in self._table_schema]
        for c in columns:
            v_list = [d.get(c) for d in cache_list]
            if not v_list:
                raise InvalidFormat(
                    "Specified column %s does not exist in an input file." % c
                )
            insert_data[c] = v_list
        return insert_data

Format insert data to pass DataFrame as the below.

        insert_data = {
            "column1": [1, 2],
            "column2": ["spam", "spam"],
            ...
        }

        Args
            insert_rows: dictionary list of input cache
        """
        insert_data = {}
        for c in self._columns:
            v_list = [d.get(c) for d in insert_rows]
            if not v_list:
                raise InvalidFormat(
                    "Specified column %s does not exist in an input file." % c
                )
            insert_data[c] = v_list
        return insert_data

Format insert data to pass DataFrame as the below.

        insert_data = {
            "column1": [1, 2],
            "column2": ["spam", "spam"],
            ...
        }

        Args
            insert_rows: dictionary list of input cache
        """
        insert_data = {}
        for c in self.__columns:
            v_list = [d.get(c) for d in insert_rows]
            if not v_list:
                raise InvalidFormat(
                    "Specified column %s does not exist in an input file." % c
                )
            insert_data[c] = v_list
        return insert_data