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Help identifying XML fields for message attributes in Khoros data export
I'm working on a project where I need to parse and process a Khoros XML data export of my community, and I'm trying to map out the right entities and fields for several message-level attributes. Specifically, I'm trying to figure out which XML files, entities, and fields correspond to the following: Visibility scope of a message i.e how can I tell a message is private, draft or archived Whether the message is a solution and solution is marked by which user / user_id and when (time) Whether the message is read only or has comments blocked Moderation status - whether the message was rejected, approved etc Kudos - How can I find the kudos count and individual kudo for a message e.g user, time and weight info similarly, where is the MeToo data stored for a message? Any help with field names, entity references, look in would be a huge help.Help identifying XML fields for message attributes in Khoros data export
I'm working on a project where I need to parse and process a Khoros XML data export of my community, and I'm trying to map out the right entities and fields for several message-level attributes. Specifically, I'm trying to figure out which XML files, entities, and fields correspond to the following: Visibility scope of a message i.e how can I tell a message is private, draft or archived (API Reference) Whether the message is a solution and solution is marked by which user / user_id and when (time) (API Reference) Whether the message is read only or has comments blocked (API Reference) Moderation status - whether the message was rejected, approved etc (API Reference) Kudos - How can I find the kudos count and individual kudo for a message e.g user, time and weight info (API Reference) similarly, where is the MeToo data stored for a message? (API Reference) Any help with field names, entity references, look in would be a huge help.Which entity to refer for knowing user to badge mapping in XML data dump
I'm working with XML data dump of my community and I'm able to access users and badge data individually. However, I'm unable to parse user to badge mapping i.e what all badges a specific user has been assigned Which entity or relation I should look for in the XML data dump to get that mapping or help me with any XML data dump related documentation if anyHow to parse <li-answer> <li-table> custom li tags into raw html
I was playing around with XML data dump of messages, and found custom HTML tags (<li-{type}> in the message content. From Khoros API (LiQL), I'm getting transformed HTML content, without any custom lithium HTML tags Tags example - li-answer, li-code, li-emoji, li-code, li-video, li-image etc How to parse such tags, and get content HTML like it is provided in the API using LiQL ?Subscriptions to a label?
Hi all, I'm attempting to get the list of people who have subscribed to a label, but am struggling. The documentation is a bit confusing: It says both that you have to use a community ID as the node.id constraint but also that you can give the node.id constraint as a board id? Seems conflicting. And, regardless of the documentation, I get an error when I try to use a board ID (such as node.id='board:wireless-lan' where wireless-lan is the id of the board) My user has full admin permissions. Any ideas? I am not really a developer (as is probably evident!), just trying to pull a few bits of data for a stakeholder. Thanks!
What Does It Take to Develop a High-Performance Candy AI Clone?
Developing a high-performance candy ai clone requires a scalable architecture, advanced AI integration, and optimized real-time communication systems. The foundation begins with selecting a strong backend such as Node.js or Python (FastAPI) to handle API requests and AI processing. Large Language Models (LLMs) power conversational intelligence, while vector databases like Pinecone store contextual memory for personalized responses. Cloud infrastructure (AWS or GCP) with GPU support ensures smooth AI inference under heavy traffic. Real-time messaging can be implemented using WebSockets: const WebSocket = require('ws'); const wss = new WebSocket.Server({ port: 8080 }); wss.on('connection', ws => { ws.on('message', message => { const aiResponse = processAI(message); ws.send(aiResponse); }); }); Efficient caching with Redis reduces latency, while secure authentication (JWT, OAuth 2.0) protects user sessions. Performance monitoring tools track system health and auto-scale resources dynamically, ensuring consistent speed and reliability.
Experience Survey GraphQL
in the graphQL for pulling the experience survey its says the graphQL is: query MyQuery { valueSurveyResponses { csv } } this implies this pulls all survey responses ever, I am wondering if there are constraints or pagination because this could very quickly become a massive dayaset.
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