def ParseRow(self, parser_mediator, row_offset, row):
    """Parses a line of the log file and produces events.

    Args:
      parser_mediator (ParserMediator): mediates interactions between parsers
          and other components, such as storage and dfvfs.
      row_offset (int): line number of the row.
      row (dict[str, str]): fields of a single row, as specified in COLUMNS.
    """
    timestamp = self._ParseTimestamp(parser_mediator, row)
    if timestamp is None:
      return

    try:
      action = int(row['action'], 10)
    except (ValueError, TypeError):
      action = None

    try:
      scan_type = int(row['scan_type'], 10)
    except (ValueError, TypeError):
      scan_type = None

    event_data = TrendMicroAVEventData()
    event_data.action = action
    event_data.filename = row['filename']
    event_data.offset = row_offset
    event_data.path = row['path']
    event_data.scan_type = scan_type
    event_data.threat = row['threat']

    event = time_events.DateTimeValuesEvent(
        timestamp, definitions.TIME_DESCRIPTION_WRITTEN)
    parser_mediator.ProduceEventWithEventData(event, event_data)
def ParseRow ( self , parser_mediator , row_offset , row ) : timestamp = self . _ParseTimestamp ( parser_mediator , row ) if timestamp is None : return try : action = int ( row [ 'action' ] , 10 ) except ( ValueError , TypeError ) : action = None try : scan_type = int ( row [ 'scan_type' ] , 10 ) except ( ValueError , TypeError ) : scan_type = None event_data = TrendMicroAVEventData ( ) event_data . action = action event_data . filename = row [ 'filename' ] event_data . offset = row_offset event_data . path = row [ 'path' ] event_data . scan_type = scan_type event_data . threat = row [ 'threat' ] event = time_events . DateTimeValuesEvent ( timestamp , definitions . TIME_DESCRIPTION_WRITTEN ) parser_mediator . ProduceEventWithEventData ( event , event_data )
Parses a line of the log file and produces events.

    Args:
      parser_mediator (ParserMediator): mediates interactions between parsers
          and other components, such as storage and dfvfs.
      row_offset (int): line number of the row.
      row (dict[str, str]): fields of a single row, as specified in COLUMNS.