Power BI is a powerful tool which helps us to create quick and interactive insights from wide range of data sources. Here we’ll be discussing about Power BI service which is a SaaS, and how to embed Power BI Dashboards, Reports and Tiles in web applications. If you are new to Power BI, you can start here.
Power BI can be embedded in an application by two ways:
Embedding for customers — This is for embedding dashboards and reports to user who don’t have Power BI account. Power BI API’s are invoked based on the application’s master account and the reports/dashboards are made available to the users of the application.
Embedding for your organization — This is for embedding dashboards/reports for the users in your organization, who have Power BI accounts.
Update on 30th January 2019: There is a new option that enables business users who do not have any coding skills to easily and securely embed reports in internal web portals. Users viewing the embedded report need either a Power BI Pro license or the content needs to be in a workspace that’s in a Power BI Premium capacity (EM or P SKU). More information is available here.
There weren’t much tutorials available on-line, and I was bit confused with the distinction between the above two approaches. But I was not alone in this pursuit, someone have already figured out the “Embedding for customers” and it was really helpful. I wasn’t satisfied with that and after spending a couple of days in Power BI forums and GitHub repositories, I’ve finally figured out how to do it both.
This is the first part of the two-part article series. You can find the second one here.
Creating dashboards/reports using Power BI are out of scope of this article, you can learn more about it here. I’ve skipped a lot a details which have better documentation elsewhere.
A high level diagram showing how this works is shown below.
Embedding for customers
The work flow is as follows.
Refer this for more details.
Since we are using Web API, redirect URL don’t have much significance.
Refer this for more details.
If you are new to Web API’s, you can start here. In the Web.config file we need to add few key-value pairs. Here you need to provide your master account’s username and password.
You’ll get ‘applicationId’, ‘workspaceId’ and ‘reportId’ during Power BI setup. Now we need to define the token objects to be returned from the methods.
Token object for Dashboard/Reports. Gist: https://gist.github.com/krishnaanaril/5e56889f072a2606c1da0646766501dc
Token object for Tiles. Gist: https://gist.github.com/krishnaanaril/8d4960b06aeefa218886c959308974f6
We need to add Microsoft Power BI client library as we are invoking Power BI API’s from the server side code.
As API methods, I’ve created three methods for Reports, Dashboards and Tiles respectively.
GetReportEmbedToken— This method accepts two optional parameters, username and roles, which is used for enabling row-level security (RLS). You can find more info about RLS here. In the method, we are returning the embed token for the first report available in the workspace.
GetDashboardEmbedToken— This method returns the embed token for the first dashboard in the workspace.
GetTileEmbedToken— This method returns the embed token for the first tile in the first dashboard which is available in the workspace.
API method for getting embed token. Gist: https://gist.github.com/krishnaanaril/b093ab817d8fc29e4096346e034ccf3f
You can extend this methods to return tokens for custom reports, dashboards and tiles.
Here we need to create a service to call the API we created above. For that, let’s create a service and add the following method.
npm install --save powerbi-client
Next, we need to create a method in component class to embed the reports as follows.
For embedding reports for customers, type should be ‘reports’ and token type should be ‘Embed’. Here you can see the code for ‘tokenExpirationListener’. This is added as the generated tokens are valid only for an hour and it expires after that. So we need to generate another token by that time and update it. More info can be found here.
Now you’re done with your Angular app and its corresponding Web API, run it and verify the reports.