Live example here.
This tutorial will focus on colour presentation of the model. As you have noticed models have a sensible graphical representation by default. This is taken from IFC model to it should look about the same in all the tools and it should look the same as in your or your user's authoring environment. But it is important to be able to chenge this representation sometimes to report some kind of results to the user (classification, error reporting, clash detection etc.). This will be covered in this short tutorial. You can have a look on full sample demo here.
First of all it is necessary to define your styles. There is simple function
defineStyle() to do that.
You can define up to 224 styles. Because I don't have any results to show let's make it random. We'll define new colour for every
product type in the following code:
This is it. You can extend this example as you wish. Just define 0 - 224 colour styles and set them as an overlay style to product
or to type of products. If you want to reset styles to their default use
There is one more visual feature of the viewer and that is highlighting. You can think about it as a selection but it is not that clever. It leaves all the eventual selection logic up to you. This is just a visual representation. It is hence ruther state than style. You can use it exactly the same way as you did in the last tutorial:
Nice feature of this approach is that highlighting is separated from alternative visual appearance. You can't have a product highlighted and hidden at the same time but that makes a sense. Important thing is that you can show results of the analyses and do selection at the same time. And if you discard selection you still have a valid results representation. You can generally combine styles and states in any way.