Enhance IBM Sametime Chat Logging DLL - repost

Looking for someone to modify an existing C++ project. The current DLL is used for logging Chats from an IBM Sametime Server - its an example provided by IBM. Some information here: [login to view URL] The Project provided by IBM can be downloaded from here: [login to view URL] - when you extract the file the example project is found in server \ dda \ samples \ chatlogging The issue is the output from this DLL is a text file which cannot be easily imported into other systems, it needs to be parsed line by line which is brittle and liable to break. Example chat log files are also included so you can see the output. I appreciate you will probably not be able to test this DLL very easily at it requires a IBM Sametime installation - hopefully you can mock up a test so at least you can confirm the output is in a valid format. What I need is the text file that is generated to be in JSON \ XML format depending on a parameter which is set in the config ini file ([login to view URL]) - currently there is no parameter defined so you will need to add this. If there is no parameter defined then default to XML. The output file should contain: Chat Start Date / Time Chat End Date / Time Chat Initiator Chat Participants - this can be a large list if its a company wide broadcast Chat contents - raw - just the contents of the message - it will have HTML mixed into it so you will need to escape it Chat Type Images - as in the filename + location on the server For each participant I need the total number of messages sent and the total length of the messages - these values must be available as they are outputted in the current text file - just not in an easy way. All information is currently in the text file except for Chat Type - there is a specific method in the class to get this value. Attached is an example output file in XML that I need. The JSON file would be the same except in JSON format. There will probably be a follow up event to this - this will involve dropping the file creation and posting directly to an elasticsearch instance via HTTP.