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Confusing extension detection #1391
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I'd argue that pystac is working as intended. As an implementation of the spec and its extensions, the code provided (IMO) should reflect the valid use-case, with methods and functions to help bring invalid STAC into a valid state. In this example, it's not clear what type Each extension implements its own checks to see if it is valid for an object type in the try:
cube = DatacubeExtension.ext(object)
except ExtensionTypeError:
cube = None This still won't get you datacube extension information for a catalog, however. For that, you'll need to manipulate the catalog's attributes directly via extra_fields: dict[str, Any] |
I agree, that's not the thing. |
It's a good point. has_extension just looks at the I don't have a good solution to the problem in a code sense, so maybe better documentation on |
I guess we could have If you are just trying to get the if hasattr(stac_obj.ext, "cube"):
x = stac_obj.ext.cube ... or x = getattr(stac_obj.ext, "cube", None) |
Using pystac 1.10.1:
the assert works, but the last line fails with
Is that intended behavior?
To use
catalog.ext.cube
in a generic way properly I guess I have to guard it with an additionalhasattr
:I'd hoped that
stac_obj.ext.has("cube")
would be just enough to use as guard(Note: I'm aware that a Catalog is not supposed to have the datacube extension enabled, but I want to make my code robust against slightly "invalid" STAC data too)
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