Feature Request: Preserve OGR source layer name as a feature tag in case of classify to ISSprOM or ISOM by funkcion "find"

[jirivis]

Is your feature request related to a problem? Please describe.
When importing generic geospatial data via OGR gpkg many features may not match the symbol set immediately and are imported with a fallback symbol (or no symbol).
Currently, the user loses the information about which source layer the feature came from. This makes manual classification after import very difficult, as the user cannot distinguish between different source types (e.g., "building" vs. "paved area") if they end up with the same default geometry.

Describe the solution you'd like
I propose adding the original OGR layer name as a string tag to the imported features.
This would allow users to identify the source of the object in the tags editor and assign the correct symbol manually.

Describe alternatives you've considered
The tag could be named something like source_layer or _ogr_layer.

Additional context
I have been working with Czech Cadastral data (gpkg) where layer names contain crucial information for symbol mapping.

Possible implementation in OgrFileImport::importLayer:

// Example logic
const char* layer_name = OGR_L_GetName(layer);
if (layer_name) {
    // Add tag to the Mapper feature
    // key: "source_layer", value: layer_name
}

[krticka]

@jirivis I think sample data would be useful. Can you please upload it?

[jirivis]

@krticka It should look like:

In this tag, you can find any identifier and use the function find all to classify all of the features as any orienteering symbol.

You can try here, especially for the Czech region automat https://github.com/jirivis/mapper/releases/tag/DMVS0.9.6.1

[dl3sdo]

@jirivis: Is Czech Cadastral data (gpkg) open data? If yes, could you upload a small gpkp sample file?

[jirivis]

@dl3sdo I think we need to distinguish between Czech cadastral data, which are open, and DMSV (Digital Map of Public Administration) data, which are open, too, but your electronic ID is required to sign in and download the data. There is one important difference in the content of these datasets. The Czech cadastral is everywhere, this map consists exclusively of elements that comply with the legal criteria. DMSV consists of really more features than the Czech cadastral map. Unfortunately, in DMVS, there are many holes in the coverage of the Czech area. In cities, the DMVS is better than the Czech cadastral map. But in villages, you can find only the main street and nothing more.
You can download Czech cadastral data (for every cadastral "area") here shp dxf

In the DMVS portal, you can download gpkg and shp, too. You can download only 2sqare km, too. One small village is attached (gpkg).

objednavka_29304.zip