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Mestu_Paul
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Joined 1 year ago
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Re: How to create semantic model from lakehouse files or tables using REST API
Actually I could not find any proper solution. What I want to do actually: 1. Create a lakehouse using rest api 2. Upload file into this lakehouse via onelake rest api 3. From uploaded files create table in same lakehouse using Load table rest api 4. Now I want to create semantic model using these lakehouse tables using rest api. First 3 steps done but cant complete the last step.3.9KViews0likes0CommentsRe: How to create semantic model from lakehouse sql endpoint using REST API
Hello svenchio, Thank you for your response. Actually I want to create semantic model from lakehouse table or sql endpoint. You write about creating semantic model using rest api, but I need to use lakehouse as datasource. I'm clarifying in main post again4.6KViews0likes1CommentHow to create semantic model from lakehouse sql endpoint using REST API
I want to create semantic model using rest api from Lakehouse SQL point or tables but dont find any documentation to create semantic model using REST API. Can anyone help me to create semantic model from lakehouse (sql endpoint or files or tables) using REST APISolved4.8KViews0likes7CommentsHow to create semantic model from lakehouse files or tables using REST API
Hello good peoples, Since microsoft suggest to use Microsoft Fabric I'm trying to replace our current system(power bi dataset) with fabric lakehouse and semantic model via fabric REST API. But to create semantic model using lakehouse's tables I don't get any documentation or Blog. I also read the post where no solution exist. I'm expecting now a solution exist to create semantic model using rest apiSolved4.2KViews0likes8CommentsRe: Seeking Help to Use AI-Based Chatbot in Power BI Embedded Report
v-hashadapu Thanks for your details information. I tried same as you describe. But I also tried with visual creation, page navigation and textual response on a specific visual's data. And successfully I can make a prototype. And everything is possible for embedded api and LLM api2.8KViews1like0CommentsTypeError: activePage.createVisual is not a function (Power BI JavaScript API)
Hi everyone, I'm trying to dynamically add a visual to an embedded Power BI report using the createVisual() method as documented here: 🔗 Microsoft Docs: Create a visual in Power BI embedded However, when I try to execute the following code: try { const pages = await this.report.getPages(); const activePage = pages.find(p => p.isActive); if(!activePage)return; const visualLayout = { x: 0, y: 0, z: 0, width: 300, height: 300 }; const visualResponse = await activePage.createVisual('pieChart', visualLayout, false); const newVisual = visualResponse.visual; await newVisual.update({ title: "Count of RelatedParty by TaxJurisdiction" }); console.log("✅ Visual created:", newVisual); } catch (error) { console.error("❌ Error creating visual:", error); } I get this error: TypeError: activePage.createVisual is not a function at _PowerBiService.<anonymous> (power-bi-service.service.ts:151:47) at Generator.next (<anonymous>) at fulfilled (main.js:10:24) What I’ve Checked So Far: ✅ My Power BI JavaScript API version is up to date ( "powerbi-client": "^2.23.1") ✅ The report is properly embedded and interactive ✅ getPages() works fine, meaning activePage is a valid object Any insights or solutions would be really helpful! 🚀 Thanks in advance! 😊Solved717Views0likes2CommentsRe: Seeking Help to Use AI-Based Chatbot in Power BI Embedded Report
Thanks tharunkumarRTK for your response, hopefully it can be helpfull to me. I also thought one idea with power bi embedded api. Specifically slicer getState and setState method. Convert user text to slicer state then set it to the proper slicer state. But still waiting for any better idea from the greate community3.3KViews0likes0CommentsSeeking Help to Use AI-Based Chatbot in Power BI Embedded Report
Hello Power BI Community, I have a web application where multiple Power BI reports are embedded for users across different scopes. Currently, users interact with these reports using various slicers. I want to integrate an AI-based chatbot to enhance the user experience by allowing them to apply filters through chat commands instead of manually selecting slicers. What would be possible and the best approach to achieve this? Are there any existing APIs, frameworks, or best practices for dynamically controlling Power BI slicers using chatbot interactions? Any guidance or suggestions would be greatly appreciated! Thanks in advance!Solved3.3KViews0likes7Comments
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