Qpy3

Installation

You can run the Docker compose file in the root of this repo to set up a minimal Ubuntu docker image that can run Qpy scripts.

Using Qpy

To import, simply

import sys 
sys.path.append("/path/to/qpy/folder")

from qpy3 import Qpy

To list all of QGIS' spatial algorithms that Qpy can access, you can run

qpy.alglist()

and it will print to stdout all algorithms available. This method can also take in a single string argument to filter down the results containing only that string

qpy.alglist("buffer")

To get the specific information about one algorithm (Eg. GDAL:buffervectors), you can run

qpy.alghelp("GDAL:buffervectors")

and it will return back what arguments it needs.

Running a built-in algorithm

To run any QGIS function as found in alglist, the Qpy.processing.run() function is used. It takes in two arguments - a string containing the lowercase name of the function (eg "gdal:buffervectors"), and a dictionary, where the keys are specified by the alghelp output, and the values are that input.

Calling alghelp for GDAL:buffervectors returns back the following text:

Buffer vectors (gdal:buffervectors)


----------------
Input parameters
----------------

INPUT: Input layer

	Parameter type:	QgsProcessingParameterFeatureSource

	Accepted data types:
		- str: layer ID
		- str: layer name
		- str: layer source
		- QgsProcessingFeatureSourceDefinition
		- QgsProperty
		- QgsVectorLayer
	
GEOMETRY: Geometry column name

    Parameter type:	QgsProcessingParameterString

    Accepted data types:
        - str
        - QgsProperty

DISTANCE: Buffer distance

    Parameter type:	QgsProcessingParameterDistance

    Accepted data types:
        - int
        - float
        - QgsProperty

FIELD: Dissolve by attribute

    Parameter type:	QgsProcessingParameterField

    Accepted data types:
        - str
        - QgsProperty

DISSOLVE: Dissolve all results

    Parameter type:	QgsProcessingParameterBoolean

    Accepted data types:
        - bool
        - int
        - str
        - QgsProperty

EXPLODE_COLLECTIONS: Produce one feature for each geometry in any kind of geometry collection in the source file

    Parameter type:	QgsProcessingParameterBoolean

    Accepted data types:
        - bool
        - int
        - str
        - QgsProperty

OPTIONS: Additional creation options

    Parameter type:	QgsProcessingParameterString

    Accepted data types:
        - str
        - QgsProperty

OUTPUT: Buffer

    Parameter type:	QgsProcessingParameterVectorDestination

    Accepted data types:
        - str
        - QgsProperty
        - QgsProcessingOutputLayerDefinition

----------------
Outputs
----------------

OUTPUT:  <QgsProcessingOutputVectorLayer>
    Buffer

So to run GDAL buffervectors, you would need to construct a dictionary similar to this:

argdict = {}
argdict["INPUT"] = "/path/to/input/vector.shp" # Any GDAL compatible vector dataset will be accepted 
argdict["DISTANCE"] = 30 # This distance is in the units of the input dataset. If it is a geographic projection, this will be in degrees! 
argdict["OUTPUT"] = "/path/to/output/vector.shp" # Any GDAL compatible vector dataset will be accepted

Not all inputs are needed for QGIS algorithms. To run your algorithm, all you have to do is call this!

Qpy.processing.run("gdal:buffervectors", argdict)

Built-in functions

I did have some time to create some built-in functions that wrap some QGIS functionality during the development time of this Motivated Fridays project.

Vector functions

Vector buffering

A wrapper for gdal:buffervectors. Buffers a vector dataset by a specified distance.

Qpy.buffer_vector(in_features="/path/to/input/vector.shp", out_features="/path/to/output/features.shp", buffer_distance_or_field=30)

Vector clipping

A wrapper for gdal:clipvectorbypolygon. Clips one vector dataset by the bounds of another.

in_features: The data you want clipped. Can be a point, line, or polygon.

clip_features: The data you want in_features clipped to. Must be a polygon.

Qpy.clip_vector(in_features="/path/to/feature.shp", clip_features="/path/to/bounds/feature.shp", out_features="/path/to/output.shp")

Vector selection

Allows you to grab a set of features from a feature set using an SQL expression. If you wanted cities with population > 10000 from a set of city points with a population field, you could do "'population' > 10000" as your where clause.

Qpy.select_vector(in_features="/path/to/input.shp", out_features="/path/to/output.shp", where_clause="'population' > 10000")

Vector union

Wrapper for saga:polygonunion. Returns back the union of two vector layers, given a list of two vector layer paths.

Qpy.union_vector(in_features=["/path/to/first/input.shp", "/path/to/second/input.shp"], out_features="/path/to/output.shp")

Raster functions

Raster clipping

Clips a raster given a polygon input.

Qpy.clip_raster(in_raster="/path/to/raster.tif", in_vector="/path/to/clipping/vector.shp", out_path="/path/to/clipped/raster.tif")

Raster edge computation

Creates a polygon of the outline of the raster. Can be useful for oddly clipped raster images. Nodata value is not always stored in the raster, so it may need to be passed in depending on the input. Defaults to 0 if it is not provided.

Qpy.compute_edge_raster(in_raster="/path/to/raster.tif", out_vector_path="/path/to/raster/edge.shp", nodata_value=0)

Raster to numpy array

Returns a numpy array of an input raster.

array = Qpy.raster_to_array(in_raster="/path/to/raster.tif")

Shift raster

Shifts a raster north, south, east, or west by a specified amount. Does not warp the image, but rather shifts it by modifying its location information in the image header. This writes back to the same image you put in, so be cautious!

The following code will shift an image that is in a projected coordinate system 10 meters north and 30 meters east:

Qpy.shift_raster(in_raster="/path/to/raster.tif", north=10, east=30)

The following code will shift an image that is in a projected coordinate system 15 meters south and 20 meters west:

Qpy.shift_raster(in_raster="/path/to/raster.tif", south=15, west=20)

mcvittal/qpy3