Processing Algorithms Testing¶

Test degli algoritmi

Test degli algoritmi ¶

Nota

La versione originale di queste istruzioni é disponibile presso https://github.com/qgis/QGIS/blob/release-3_4/python/plugins/processing/tests/README.md

QGIS fornisce numerosi algoritmi nel Processing framework. È possibile estendere questo elenco con algoritmi propri e, come ogni nuova funzionalità, è richiesta l’aggiunta di test.

Per testare gli algoritmi è possibile aggiungere voci in testdata/qgis_algorithm_tests.yaml oppure :file:testdata/gdal_algorithm_tests.yaml` come piú opportuno.

Questo file é strutturato con yaml syntax.

Un test elementare appare sotto il tasto primario `` test`` e si presenta così:

- name: centroid
  algorithm: qgis:polygoncentroids
  params:
    - type: vector
      name: polys.gml
  results:
    OUTPUT_LAYER:
      type: vector
      name: expected/polys_centroid.gml

Come fare ¶

Per aggiungere un nuovo test si prega di seguire questi passaggi:

Run the algorithm you want to test in QGIS from the processing toolbox. If the result is a vector layer prefer GML, with its XSD, as output for its support of mixed geometry types and good readability. Redirect output to python/plugins/processing/tests/testdata/expected. For input layers prefer to use what’s already there in the folder testdata. If you need extra data, put it into testdata/custom.
When you have run the algorithm, go to Processing ‣ History and find the algorithm which you have just run.
Right click the algorithm and click Create Test. A new window will open with a text definition.
Open the file python/plugins/processing/tests/testdata/algorithm_tests.yaml, copy the text definition there.

The first string from the command goes to the key algorithm, the subsequent ones to params and the last one(s) to results.

The above translates to

- name: densify
  algorithm: qgis:densifygeometriesgivenaninterval
  params:
    - type: vector
      name: polys.gml
    - 2 # Interval
  results:
    OUTPUT:
      type: vector
      name: expected/polys_densify.gml

È anche possibile creare dei test per gli script di Processing. Gli script dovrebbero essere collocati nella sottocartella scripts all’interno della cartella dei dati di test :file:python/plugins/processing/tests/testdata/`. Il nome del file di script deve corrispondere al nome dell’algoritmo di script.

Parameters and results ¶

Trivial type parameters ¶

Parameters 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, ie vector or raster
a name, with a relative path like expected/polys_centroid.gml

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 similarly.

Basic vector files ¶

It couldn’t be more trivial

OUTPUT:
 name: expected/qgis_intersection.gml
 type: vector

Add the expected GML and XSD files 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 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 to 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 a few more definitions that can modify the context of the algorithm - these can be specified at the top level of test:

project - will load a specified QGIS project file before running the algorithm. If not specified, the algorithm will run with an empty project
project_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 values listed in the CMakelists.txt