6.6 KiB
Algorithm tests
To test QGIS Processing algorithms, YAML-based test cases are defined in the following files:
qgis_algorithm_tests1.yaml
throughqgis_algorithm_tests5.yaml
– QGIS core algorithm testsgdal_algorithm_vector_tests.yaml
– GDAL vector-related testsgdal_algorithm_raster_tests.yaml
– GDAL raster-related testsscript_algorithm_tests.yaml
– Custom script-based tests
All of these files are located in: python/plugins/processing/tests/testdata/
This file is structured with yaml syntax.
A basic test appears under the toplevel key tests
and looks like this:
- name: centroid
algorithm: qgis:polygoncentroids
params:
- type: vector
name: polys.gml
results:
OUTPUT_LAYER:
type: vector
name: expected/polys_centroid.gml
How To
To add a new test for a QGIS Processing algorithm, follow these steps:
1. Run the Algorithm in QGIS
- Use the Processing Toolbox to run the algorithm you want to test.
- For vector outputs, prefer using GML format with XSD — this format supports mixed geometry types and offers good readability.
- Save the output to:
python/plugins/processing/tests/testdata/expected/
- For input layers, reuse data already present in:
python/plugins/processing/tests/testdata/
If additional data is required, place it under: python/plugins/processing/tests/testdata/custom/
2. Generate the Test Definition
- Open Processing ► History after running the algorithm.
- Locate your algorithm run, right-click it, and select Create Test.
- A new window will appear with the YAML test definition.
3. Add the Test to the Appropriate File
Paste the test definition into the correct YAML file inside: python/plugins/processing/tests/testdata/
Use the following guidelines:
qgis_algorithm_tests1.yaml
toqgis_algorithm_tests5.yaml
: QGIS core algorithmsgdal_algorithm_vector_tests.yaml
: GDAL vector-related algorithmsgdal_algorithm_raster_tests.yaml
: GDAL raster-related algorithmsscript_algorithm_tests.yaml
: Custom script-based tests
4. Example YAML Test Entry
- name: densify
algorithm: qgis:densifygeometriesgivenaninterval
params:
- type: vector
name: polys.gml
- 2 # Interval
results:
OUTPUT:
type: vector
name: expected/polys_densify.gml
5. Adding Script-Based Tests
To create tests for custom Processing scripts:
- Place the script file in the following directory:
python/plugins/processing/tests/testdata/scripts/
- The script file name must exactly match the script algorithm name used in your test definition.
For example, if your test refers to an algorithm named my_custom_buffer, your script should be saved as: python/plugins/processing/tests/testdata/scripts/my_custom_buffer.py
Params and results
Trivial type parameters
Params and results are specified as lists or dictionaries:
params:
INTERVAL: 5
INTERPOLATE: True
NAME: A processing test
or
params:
- 2
- string
- another param
Layer type parameters
You will often need to specify layers as parameters. To specify a layer you will need to specify:
- the type
vector
orraster
- a name
- relative path like
expected/polys_centroid.gml
- relative path like
This is what it looks like in action:
params:
PAR: 2
STR: string
LAYER:
type: vector
name: polys.gml
OTHER: another param
File type parameters
If you need an external file for the algorithm test, you need to specify the 'file' type and the (relative) path to the file in its 'name':
params:
PAR: 2
STR: string
EXTFILE:
type: file
name: custom/grass7/extfile.txt
OTHER: another param
Results
Results are specified very similar.
Basic vector files
It couldn't be more trivial
OUTPUT:
name: expected/qgis_intersection.gml
type: vector
Add the expected GML and XSD in the folder.
Vector with tolerance
Sometimes different platforms create slightly different results which are still acceptable. In this case (but only then) you may also use additional properties to define how exactly a layer is compared.
To deal with a certain tolerance for output values you can specify a
compare
property for an output. The compare property can contain sub-properties
for fields
. This contains information about how precisely a certain field is
compared (precision
) or a field can even entirely be skip
ed. There is a special
field name __all__
which will apply a certain tolerance to all fields.
There is another property geometry
which also accepts a precision
which is
applied to each vertex.
OUTPUT:
type: vector
name: expected/abcd.gml
compare:
fields:
__all__:
precision: 5 # compare to a precision of .00001 on all fields
A: skip # skip field A
geometry:
precision: 5 # compare coordinates with a precision of 5 digits
Raster files
Raster files are compared with a hash checksum. This is calculated when you create a test from the processing history.
OUTPUT:
type: rasterhash
hash: f1fedeb6782f9389cf43590d4c85ada9155ab61fef6dc285aaeb54d6
Files
You can compare the content of an output file by an expected result reference file
OUTPUT_HTML_FILE:
name: expected/basic_statistics_string.html
type: file
Or you can use one or more regular expressions that will be matched against the file content
OUTPUT:
name: layer_info.html
type: regex
rules:
- 'Extent: \(-1.000000, -3.000000\) - \(11.000000, 5.000000\)'
- 'Geometry: Line String'
- 'Feature Count: 6'
Directories
You can compare the content of an output directory with an expected result reference directory
OUTPUT_DIR:
name: expected/tiles_xyz/test_1
type: directory
Algorithm Context
There are few more definitions that can modify context of the algorithm - these can be specified at top level of test:
project
- will load a specified QGIS project file before running the algorithm. If not specified, algorithm will run with empty projectproject_crs
- overrides the default project CRS - e.g.EPSG:27700
ellipsoid
- overrides the default project ellipsoid used for measurements - e.g.GRS80
Running tests locally
ctest -V -R ProcessingQgisAlgorithmsTest
or one of the following value listed in the CMakelists.txt