Closed QGIS-feature-tracker closed 5 years ago
@DelazJ, @m-kuhn, I can't find this algorithm in my QGIS 3.4.13 installation (on Ubuntu).
There are, however, traces of the algorithm in the code on github (both for 3.4 and master).
I find the files, for instance: src/analysis/processing/qgsalgorithmfilter.cpp
.
Here are some lines from that file (both in the 3.4 and master github branches):
QString QgsFilterAlgorithm::displayName() const { return QObject::tr( "Feature Filter" ); } QString QgsFilterAlgorithm::group() const { return QObject::tr( "Vector table" ); }
So the name of the algorithm is not the same, and the group is also not the same as in the referenced commit. On github master I can only find a commit from Apr 5, 2018 in the history of the file, but I am not very familiar with searching the github history. What to do?
It's only visible in the graphical modeller.
Yes, I can see it there. Is there a reason why it is not visible under "Vector table" in the processing toolbox? (It seems to be the only algorithms that is no available in the Processing toolbox)
There are other algorithms not visible in the Processing toolbox and which are modeller only.
https://github.com/qgis/QGIS/search?q=FlagHideFromToolbox
"Load Layer", "String concatenation", "Variable Distance Buffer". These are not all "Vector table".
I don't remember the exact details, it was after a discussion with @nyalldawson that it was decided. At least it would have been considerably harder to do outside the modeller.
"Load Layer", "String concatenation", "Variable Distance Buffer". These are not all "Vector table".
And they are documented at https://docs.qgis.org/testing/en/docs/user_manual/processing_algs/qgis/modelertools.html#modeler-tools
That makes sense. I will probably take a shot at this, then.
Original commit: https://github.com/qgis/QGIS/commit/147f6e71c46a5f1fd3d5b0da97f0a7028568552f by m-kuhn
Adds a new "feature filter" algorithm. This algorithm takes a list of expressions and creates an output for each of them. Matching features from the input layer are sent to the outputs.
This allows for an algorithm to only handle a subset of incoming features or to send different features to different outputs.
The algorithm is only available in the modeler.