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How to use make_log_record_output method in Behave

Best Python code snippet using behave

steps.py

Source:steps.py

...12    if category in ("root", "__ROOT__"):13        category = None14    logger = logging.getLogger(category)15    logger.log(level, message)16def make_log_record_output(17    category, level, message, format=None, datefmt=None, **kwargs18):19    """20    Create the output for a log record, like performed by :mod:`logging` module.21    :param category:    Name of the logger (as string or None).22    :param level:       Log level (as number).23    :param message:     Log message to use.24    :returns: Log record output (as string)25    """26    if not category or (category == "__ROOT__"):27        category = "root"28    levelname = logging.getLevelName(level)29    record_data = dict(name=category, levelname=levelname, msg=message)30    record_data.update(kwargs)31    record = logging.makeLogRecord(record_data)32    formatter = logging.Formatter(format, datefmt=datefmt)33    return formatter.format(record)34class LogRecordTable(object):35    @classmethod36    def make_output_for_row(cls, row, format=None, datefmt=None, **kwargs):37        category = row.get("category", None)38        level = LogLevel.parse_type(row.get("level", "INFO"))39        message = row.get("message", "__UNDEFINED__")40        return make_log_record_output(41            category, level, message, format, datefmt, **kwargs42        )43    @staticmethod44    def annotate_with_row_schema(table, row_schema):45        """46        Annotate/extend a table of log-records with additional columns from47        the log-record schema if columns are missing.48        :param table:   Table w/ log-records (as :class:`behave.model.Table`)49        :param row_schema:  Log-record row schema (as dict).50        """51        for column, value in row_schema.items():52            if column not in table.headings:53                table.add_column(column, default_value=value)54@step("I create log records with")...

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