code: def ParseChat(self, parser_mediator, query, row, **unused_kwargs):
      
      query_hash = hash(query)
  
      participants = self._GetRowValue(query_hash, row, 'participants')
      author = self._GetRowValue(query_hash, row, 'author')
      dialog_partner = self._GetRowValue(query_hash, row, 'dialog_partner')
      from_displayname = self._GetRowValue(query_hash, row, 'from_displayname')
  
      accounts = []
      participants = participants.split(' ')
      for participant in participants:
        if participant != author:
          accounts.append(participant)
  
      to_account = ', '.join(accounts)
      if not to_account:
        to_account = dialog_partner or 'Unknown User'
  
      from_account = '{0:s} <{1:s}>'.format(from_displayname, author)
  
      event_data = SkypeChatEventData()
      event_data.from_account = from_account
      event_data.query = query
      event_data.text = self._GetRowValue(query_hash, row, 'body_xml')
      event_data.title = self._GetRowValue(query_hash, row, 'title')
      event_data.to_account = to_account
  
      timestamp = self._GetRowValue(query_hash, row, 'timestamp')
      if timestamp:
        date_time = dfdatetime_posix_time.PosixTime(timestamp=timestamp)
        event = time_events.DateTimeValuesEvent(date_time, 'Chat from Skype')
        parser_mediator.ProduceEventWithEventData(event, event_data)
docs: Parses a chat message.
  
      Args:
        parser_mediator (ParserMediator): mediates interactions between parsers
            and other components, such as storage and dfvfs.
        query (str): query that created the row.
        row (sqlite3.Row): row resulting from query.