Correct.
But, in Python, the criteria could be easy or quite involved. For example, a typical search would get the ID's of all walls, then the properties of those walls and if certain properties meet certain values, then retrieve the applicable properties. This is essentially what the schedules do behind the scenes. The logic to do this is not difficult in Python, as it is a popular database language. usually less than 10 - 20 lines of code. and reasonably fast depending on the number of elements you need to iterate through. But would never be as fast as the C++ API. BTW-- if you had a extremely large and complicated database and relationships, consider also using the Pandas Python AddOn, as it was made for just that.
Finally, the C++ example, Element_Test contains example functions to retrieve all the builtin and custom functions of any type element, then the easiest thing to do would be to dump all that data to a Python script and using Pandas, filter and correlate the data. This is particularly useful if you are handling surfaces and components, not all of which are directly accessible by Python. It can be somewhat slow (several seconds and hundreds of properties), but Pandas does most of the work, The AddOn part would involve a simple C++/Python interface, which I have already done without much effort. Depends on how involved you want to get and how needy you are? === Just some of my thoughts.
Gerry
Windows 11 - Visual Studio 2022; ArchiCAD 27
