qgis_process: Unable to modify algorithm settings from command-line

[remtav]

What is the bug or the crash?

With qgis_process, it's not possible to modify algorithm settings such as "Do not filter" to process all features regardless if they are valid or not.

These settings are available in the GUI, but not from command-line, using qgis_process:

Steps to reproduce the issue

1. Build a model in the graphical modeler
2. Execute in GUI using algorithm setting "Do not filter" for invalid geometries
3. Execute the same model using qgis_process -> will fail if invalid geometries since default behavior is to stop processing if a single invalid geometry is found

Versions

QGIS version 3.34.1-Prizren QGIS code revision 133927424d Qt version 5.15.3 Python version 3.9.5 GDAL/OGR version 3.8.1 PROJ version 9.3.1 EPSG Registry database version v10.098 (2023-11-24) GEOS version 3.12.1-CAPI-1.18.1 SQLite version 3.41.1 PDAL version 2.6.0 PostgreSQL client version unknown SpatiaLite version 5.1.0 QWT version 6.1.6 QScintilla2 version 2.13.4 OS version Windows 10 Version 2009

Active Python plugins batch_hillshader-master 2.4.4 extract_annotations-master 0.1 geoml-stac-browser-master 1.0.0 geo_sim_processing-building_pattern 0.5 geo_sim_processing-Dan-Eli-master 0.6.1 go2streetview 8.6 HCMGIS 23.7.19 LAStools 1.5 map_tile_loader 0.1.3 wbt_for_qgis 1.0.9 db_manager 0.1.20 grassprovider 2.12.99 MetaSearch 0.3.6 processing 2.12.99

Supported QGIS version

• [X] I'm running a supported QGIS version according to the roadmap.

New profile

• [ ] I tried with a new QGIS profile

Additional context

No response

[roya0045]

Filtering is done through QgsProcessingFeatureSourceDefinition that should be passed as the input.

[remtav]

Filtering is done through QgsProcessingFeatureSourceDefinition that should be passed as the input.

@roya0045 thanks for the hint. any idea how this class can be modified via command-line when calling qgis_process? An environment variable maybe?

[roya0045]

You could try passing it in the json input string, likely to not work but worth a try.

The solution that I can think of at the moment would be a python wrapper that sets up the condition you want then passing it in the function.

Otherwise add some steps to your workflow to correct data and extract when you want to reduce the likelyhood of errors.