How to use make_log_record_output method in Behave

Best Python code snippet using behave

steps.py

Source:steps.py Github

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...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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