[Qgis-developer] How to detect a categorized/graduated 2.5D layer in Python

[Tom Chadwin]

So you can use a 2.5D renderer, then change to eg categorized or graduated,
and the stack of geometry generators (shadow, walls, roof) remains in place.
I have to detect these latter types of renderers in Python. I do so by
looking for that signature stack of symbol layers. This works.

However, I loop through every feature in a layer when doing this check, my
vague thought being that some features might have different symbology, but
that others might still be derived from 2.5D. The problem I have is that
this slows things down to a crawl, with multiple layers and many features.

Therefore:

1. Is it overkill to loop through all features - should I just check the
first feature in each layer?

2. Does anyone have a more efficient way of detecting these "derived from
2.5D" renderers?

Thanks

Tom



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