Hi again ! I'm crossposting to qgis-dev since it's becoming more of a dev question...
I found a way to make it work on QGIS 2.8 64 bits (windows). I've added this file OSGeo4W64\apps\qgis\python\ plugins\processing\algs\grass\description\v.net.centrality.txt with this content : v.net.centrality v.net.centrality - Toolset for computing centralities Vector (v.*) ParameterVector|input|Neworklayer|-1|False ParameterString|betweenness|Betweenness field name|betweenness ParameterBoolean|-a|-a|True OutputVector|output|Output And now I've the function right in QGIS's toolbox, and it works perfectly ! However, this doesn't seem to work on Mac (I put the file in the corresponding folder of QGIS.app, but the tool doesn't appear in the processing toolbox), any idea why ? Or is it globally not the way to go (it seems a bit dirty to extend the toolbox by creating new files in the application folder) ? Best, Olivier 2015-04-01 13:05 GMT+02:00 Olivier Dalang <[email protected]>: > Dear list, > > How can I use a GRASS function from within QGIS if it's not in the toolbox > ? > > Ideally, I'd like a GUI solution. But actually I wasn't even able to find > how to use it in command line (I don't know anything of grass, only used it > through the processing toolbox for now). > > I'm trying to use this function: > v.net.centrality -a input=streets@anita_000 output=centrality > degree=degree closeness=closeness betweenness=betweenness > eigenvector=eigenvector > (found here: http://planet.qgis.org/planet/tag/gis%20analysis/ , thanks > Anita) > > This is how far I got: > > .qgis2\processing\scripts\betweennessCentrality.py > > >> ##network=vector >> ##output=output vector >> import grass.script as grass >> grass.run_command("v.net.centrality", flags='a', input=network, >> output=output, degree='degree', closeness='closeness', >> betweenness='betweenness', eigenvector='eigenvector') > > > But I get an error when I run the algorithm (the gui loads nicely): > No module named grass.script See log for more details > > > Any help would be greatly appreciated ! > > Best, > > Olivier > >
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