"""
***************************************************************************
    GdalAlgorithmRasterTest.py
    ---------------------
    Date                 : January 2016
    Copyright            : (C) 2016 by Matthias Kuhn
    Email                : matthias@opengis.ch
***************************************************************************
*                                                                         *
*   This program is free software; you can redistribute it and/or modify  *
*   it under the terms of the GNU General Public License as published by  *
*   the Free Software Foundation; either version 2 of the License, or     *
*   (at your option) any later version.                                   *
*                                                                         *
***************************************************************************
"""

__author__ = "Matthias Kuhn"
__date__ = "January 2016"
__copyright__ = "(C) 2016, Matthias Kuhn"

import nose2
import os
import shutil
import tempfile

from qgis.core import (
    QgsProcessingContext,
    QgsProcessingException,
    QgsProcessingFeedback,
    QgsRectangle,
    QgsReferencedRectangle,
    QgsRasterLayer,
    QgsProject,
    QgsProjUtils,
    QgsPointXY,
    QgsCoordinateReferenceSystem,
)

from qgis.testing import QgisTestCase, start_app, unittest

import AlgorithmsTestBase
from processing.algs.gdal.GdalUtils import GdalUtils
from processing.algs.gdal.AssignProjection import AssignProjection
from processing.algs.gdal.ClipRasterByExtent import ClipRasterByExtent
from processing.algs.gdal.ClipRasterByMask import ClipRasterByMask
from processing.algs.gdal.ColorRelief import ColorRelief
from processing.algs.gdal.GridAverage import GridAverage
from processing.algs.gdal.GridDataMetrics import GridDataMetrics
from processing.algs.gdal.GridInverseDistance import GridInverseDistance
from processing.algs.gdal.GridInverseDistanceNearestNeighbor import (
    GridInverseDistanceNearestNeighbor,
)
from processing.algs.gdal.GridLinear import GridLinear
from processing.algs.gdal.GridNearestNeighbor import GridNearestNeighbor
from processing.algs.gdal.gdal2tiles import gdal2tiles
from processing.algs.gdal.gdalcalc import gdalcalc
from processing.algs.gdal.gdaltindex import gdaltindex
from processing.algs.gdal.contour import contour, contour_polygon
from processing.algs.gdal.gdalinfo import gdalinfo
from processing.algs.gdal.hillshade import hillshade
from processing.algs.gdal.aspect import aspect
from processing.algs.gdal.buildvrt import buildvrt
from processing.algs.gdal.proximity import proximity
from processing.algs.gdal.rasterize import rasterize
from processing.algs.gdal.retile import retile
from processing.algs.gdal.translate import translate
from processing.algs.gdal.warp import warp
from processing.algs.gdal.fillnodata import fillnodata
from processing.algs.gdal.rearrange_bands import rearrange_bands
from processing.algs.gdal.gdaladdo import gdaladdo
from processing.algs.gdal.sieve import sieve
from processing.algs.gdal.gdal2xyz import gdal2xyz
from processing.algs.gdal.polygonize import polygonize
from processing.algs.gdal.pansharp import pansharp
from processing.algs.gdal.merge import merge
from processing.algs.gdal.nearblack import nearblack
from processing.algs.gdal.slope import slope
from processing.algs.gdal.rasterize_over import rasterize_over
from processing.algs.gdal.rasterize_over_fixed_value import rasterize_over_fixed_value
from processing.algs.gdal.viewshed import viewshed
from processing.algs.gdal.roughness import roughness
from processing.algs.gdal.pct2rgb import pct2rgb
from processing.algs.gdal.rgb2pct import rgb2pct

testDataPath = os.path.join(os.path.dirname(__file__), "testdata")


class TestGdalRasterAlgorithms(QgisTestCase, AlgorithmsTestBase.AlgorithmsTest):

    @classmethod
    def setUpClass(cls):
        start_app()
        from processing.core.Processing import Processing

        Processing.initialize()
        cls.cleanup_paths = []

    @classmethod
    def tearDownClass(cls):
        for path in cls.cleanup_paths:
            shutil.rmtree(path)

    def definition_file(self):
        return "gdal_algorithm_raster_tests.yaml"

    @staticmethod
    def get_param_value_and_expected_string_for_custom_crs(proj_def):
        crs = QgsCoordinateReferenceSystem.fromProj(proj_def)
        custom_crs = f"proj4: {proj_def}"
        return custom_crs, crs.toWkt(
            QgsCoordinateReferenceSystem.WktVariant.WKT_PREFERRED_GDAL
        ).replace('"', '"""')

    def testAssignProjection(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "dem.tif")
        alg = AssignProjection()
        alg.initAlgorithm()

        # with target srs
        self.assertEqual(
            alg.getConsoleCommands(
                {"INPUT": source, "CRS": "EPSG:3111"}, context, feedback
            ),
            ["gdal_edit.py", "-a_srs EPSG:3111 " + source],
        )

        # with target using proj string
        custom_crs = "proj4: +proj=utm +zone=36 +south +a=6378249.145 +b=6356514.966398753 +towgs84=-143,-90,-294,0,0,0,0 +units=m +no_defs"
        self.assertEqual(
            alg.getConsoleCommands(
                {"INPUT": source, "CRS": custom_crs}, context, feedback
            ),
            ["gdal_edit.py", "-a_srs EPSG:20936 " + source],
        )

        # with target using custom projection
        custom_crs, expected_crs_string = (
            self.get_param_value_and_expected_string_for_custom_crs(
                "+proj=utm +zone=36 +south +a=63785 +b=6357 +towgs84=-143,-90,-294,0,0,0,0 +units=m +no_defs"
            )
        )
        self.assertEqual(
            alg.getConsoleCommands(
                {"INPUT": source, "CRS": custom_crs}, context, feedback
            ),
            ["gdal_edit.py", f'-a_srs "{expected_crs_string}" ' + source],
        )

        # with non-EPSG crs code
        self.assertEqual(
            alg.getConsoleCommands(
                {"INPUT": source, "CRS": "POSTGIS:3111"}, context, feedback
            ),
            ["gdal_edit.py", "-a_srs EPSG:3111 " + source],
        )

        self.assertEqual(
            alg.getConsoleCommands(
                {
                    "INPUT": source
                    + "|option:X_POSSIBLE_NAMES=geom_x|option:Y_POSSIBLE_NAMES=geom_y",
                    "CRS": "EPSG:3111",
                },
                context,
                feedback,
            ),
            [
                "gdal_edit.py",
                "-a_srs EPSG:3111 "
                + source
                + " -oo X_POSSIBLE_NAMES=geom_x -oo Y_POSSIBLE_NAMES=geom_y",
            ],
        )

        self.assertEqual(
            alg.getConsoleCommands(
                {
                    "INPUT": source + "|credential:X=Y|credential:Z=A",
                    "CRS": "EPSG:3111",
                },
                context,
                feedback,
            ),
            [
                "gdal_edit.py",
                "-a_srs EPSG:3111 " + source + " --config X Y --config Z A",
            ],
        )

    @unittest.skipIf(os.environ.get("TRAVIS", "") == "true", "gdal_edit.py: not found")
    def testRunAssignProjection(self):
        # Check that assign projection updates QgsRasterLayer info
        # GDAL Assign Projection is based on gdal_edit.py

        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "dem.tif")
        alg = AssignProjection()
        alg.initAlgorithm()

        with tempfile.TemporaryDirectory() as outdir:
            fake_dem = os.path.join(outdir, "dem-fake-crs.tif")

            shutil.copy(source, fake_dem)
            self.assertTrue(os.path.exists(fake_dem))

            rlayer = QgsRasterLayer(fake_dem, "Fake dem")
            self.assertTrue(rlayer.isValid())
            self.assertEqual(rlayer.crs().authid(), "EPSG:4326")

            project = QgsProject()
            project.setFileName(os.path.join(outdir, "dem-fake-crs.qgs"))
            project.addMapLayer(rlayer)
            self.assertEqual(project.count(), 1)

            context.setProject(project)

            alg.run({"INPUT": fake_dem, "CRS": "EPSG:3111"}, context, feedback)
            self.assertEqual(rlayer.crs().authid(), "EPSG:3111")

    def testGdalTranslate(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "dem.tif")
        translate_alg = translate()
        translate_alg.initAlgorithm()

        with tempfile.TemporaryDirectory() as outdir:
            # without NODATA value
            self.assertEqual(
                translate_alg.getConsoleCommands(
                    {"INPUT": source, "OUTPUT": outdir + "/check.jpg"},
                    context,
                    feedback,
                ),
                ["gdal_translate", "-of JPEG " + source + " " + outdir + "/check.jpg"],
            )
            # with None NODATA value
            self.assertEqual(
                translate_alg.getConsoleCommands(
                    {"INPUT": source, "NODATA": None, "OUTPUT": outdir + "/check.jpg"},
                    context,
                    feedback,
                ),
                ["gdal_translate", "-of JPEG " + source + " " + outdir + "/check.jpg"],
            )
            # with NODATA value
            self.assertEqual(
                translate_alg.getConsoleCommands(
                    {"INPUT": source, "NODATA": 9999, "OUTPUT": outdir + "/check.jpg"},
                    context,
                    feedback,
                ),
                [
                    "gdal_translate",
                    "-a_nodata 9999.0 "
                    + "-of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # with "0" NODATA value
            self.assertEqual(
                translate_alg.getConsoleCommands(
                    {"INPUT": source, "NODATA": 0, "OUTPUT": outdir + "/check.jpg"},
                    context,
                    feedback,
                ),
                [
                    "gdal_translate",
                    "-a_nodata 0.0 "
                    + "-of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # with "0" NODATA value and custom data type
            self.assertEqual(
                translate_alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "NODATA": 0,
                        "DATA_TYPE": 6,
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_translate",
                    "-a_nodata 0.0 "
                    + "-ot Float32 -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )

            # with target srs
            self.assertEqual(
                translate_alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "TARGET_CRS": "EPSG:3111",
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_translate",
                    "-a_srs EPSG:3111 "
                    + "-of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )

            # with target using proj string
            custom_crs = "proj4: +proj=utm +zone=36 +south +a=6378249.145 +b=6356514.966398753 +towgs84=-143,-90,-294,0,0,0,0 +units=m +no_defs"
            self.assertEqual(
                translate_alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "TARGET_CRS": custom_crs,
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_translate",
                    "-a_srs EPSG:20936 "
                    + "-of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )

            # with target using custom projection
            custom_crs, expected_crs_string = (
                self.get_param_value_and_expected_string_for_custom_crs(
                    "+proj=utm +zone=36 +south +a=63785 +b=6357 +towgs84=-143,-90,-294,0,0,0,0 +units=m +no_defs"
                )
            )
            self.assertEqual(
                translate_alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "TARGET_CRS": custom_crs,
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_translate",
                    f'-a_srs "{expected_crs_string}" '
                    + "-of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )

            # with non-EPSG crs code
            self.assertEqual(
                translate_alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "TARGET_CRS": "POSTGIS:3111",
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_translate",
                    "-a_srs EPSG:3111 "
                    + "-of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )

            # with copy subdatasets
            self.assertEqual(
                translate_alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "COPY_SUBDATASETS": True,
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_translate",
                    "-sds " + "-of GTiff " + source + " " + outdir + "/check.tif",
                ],
            )

            # additional parameters
            self.assertEqual(
                translate_alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "EXTRA": "-strict -unscale -epo",
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_translate",
                    "-of JPEG -strict -unscale -epo "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )

            self.assertEqual(
                translate_alg.getConsoleCommands(
                    {
                        "INPUT": source
                        + "|option:X_POSSIBLE_NAMES=geom_x|option:Y_POSSIBLE_NAMES=geom_y",
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_translate",
                    "-of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg -oo X_POSSIBLE_NAMES=geom_x -oo Y_POSSIBLE_NAMES=geom_y",
                ],
            )

            self.assertEqual(
                translate_alg.getConsoleCommands(
                    {
                        "INPUT": source + "|credential:X=Y|credential:Z=A",
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_translate",
                    "-of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg --config X Y --config Z A",
                ],
            )

    def testClipRasterByExtent(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "dem.tif")
        alg = ClipRasterByExtent()
        alg.initAlgorithm()
        extent = QgsRectangle(1, 2, 3, 4)

        with tempfile.TemporaryDirectory() as outdir:
            # with no NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "EXTENT": extent,
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                ["gdal_translate", "-of JPEG " + source + " " + outdir + "/check.jpg"],
            )
            # with NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "EXTENT": extent,
                        "NODATA": 9999,
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_translate",
                    "-a_nodata 9999.0 -of JPEG " + source + " " + outdir + "/check.jpg",
                ],
            )
            # with "0" NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "EXTENT": extent,
                        "NODATA": 0,
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_translate",
                    "-a_nodata 0.0 -of JPEG " + source + " " + outdir + "/check.jpg",
                ],
            )
            # with "0" NODATA value and custom data type
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "EXTENT": extent,
                        "NODATA": 0,
                        "DATA_TYPE": 6,
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_translate",
                    "-a_nodata 0.0 -ot Float32 -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )

            # with creation options
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "EXTENT": extent,
                        "OPTIONS": "COMPRESS=DEFLATE|PREDICTOR=2|ZLEVEL=9",
                        "DATA_TYPE": 0,
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_translate",
                    "-of JPEG -co COMPRESS=DEFLATE -co PREDICTOR=2 -co ZLEVEL=9 "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )

            # with additional parameters
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "EXTENT": extent,
                        "EXTRA": "-s_srs EPSG:4326 -tps -tr 0.1 0.1",
                        "DATA_TYPE": 0,
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_translate",
                    "-of JPEG -s_srs EPSG:4326 -tps -tr 0.1 0.1 "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )

            # override CRS
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "EXTENT": extent,
                        "OVERCRS": True,
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_translate",
                    "-a_srs EPSG:4326 -of JPEG " + source + " " + outdir + "/check.jpg",
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source
                        + "|option:X_POSSIBLE_NAMES=geom_x|option:Y_POSSIBLE_NAMES=geom_y",
                        "EXTENT": extent,
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_translate",
                    "-of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg -oo X_POSSIBLE_NAMES=geom_x -oo Y_POSSIBLE_NAMES=geom_y",
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source + "|credential:X=Y|credential:Z=A",
                        "EXTENT": extent,
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_translate",
                    "-of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg --config X Y --config Z A",
                ],
            )

    def testClipRasterByMask(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "dem.tif")
        mask = os.path.join(testDataPath, "polys.gml")
        extent = QgsReferencedRectangle(
            QgsRectangle(1, 2, 3, 4), QgsCoordinateReferenceSystem("EPSG:4236")
        )
        alg = ClipRasterByMask()
        alg.initAlgorithm()

        with tempfile.TemporaryDirectory() as outdir:
            # with no NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "MASK": mask, "OUTPUT": outdir + "/check.jpg"},
                    context,
                    feedback,
                ),
                [
                    "gdalwarp",
                    "-overwrite -of JPEG -cutline "
                    + mask
                    + " -cl polys2 -crop_to_cutline "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # with NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "MASK": mask,
                        "NODATA": 9999,
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdalwarp",
                    "-overwrite -of JPEG -cutline "
                    + mask
                    + " -cl polys2 -crop_to_cutline -dstnodata 9999.0 "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # with "0" NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "MASK": mask,
                        "NODATA": 0,
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdalwarp",
                    "-overwrite -of JPEG -cutline "
                    + mask
                    + " -cl polys2 -crop_to_cutline -dstnodata 0.0 "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # with "0" NODATA value and custom data type
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "MASK": mask,
                        "NODATA": 0,
                        "DATA_TYPE": 6,
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdalwarp",
                    "-overwrite -ot Float32 -of JPEG -cutline "
                    + mask
                    + " -cl polys2 -crop_to_cutline -dstnodata 0.0 "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # with creation options
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "MASK": mask,
                        "OPTIONS": "COMPRESS=DEFLATE|PREDICTOR=2|ZLEVEL=9",
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdalwarp",
                    "-overwrite -of JPEG -cutline "
                    + mask
                    + " -cl polys2 -crop_to_cutline -co COMPRESS=DEFLATE -co PREDICTOR=2 -co ZLEVEL=9 "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # with multothreading and additional parameters
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "MASK": mask,
                        "MULTITHREADING": True,
                        "EXTRA": "-nosrcalpha -wm 2048 -nomd",
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdalwarp",
                    "-overwrite -of JPEG -cutline "
                    + mask
                    + " -cl polys2 -crop_to_cutline -multi -nosrcalpha -wm 2048 -nomd "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # with target extent value
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "MASK": mask,
                        "TARGET_EXTENT": extent,
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdalwarp",
                    "-overwrite -te 1.0 2.0 3.0 4.0 -te_srs EPSG:4236 -of JPEG -cutline "
                    + mask
                    + " -cl polys2 -crop_to_cutline "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source
                        + "|option:X_POSSIBLE_NAMES=geom_x|option:Y_POSSIBLE_NAMES=geom_y",
                        "MASK": mask,
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdalwarp",
                    "-overwrite -of JPEG -cutline "
                    + mask
                    + " -cl polys2 -crop_to_cutline "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg -oo X_POSSIBLE_NAMES=geom_x -oo Y_POSSIBLE_NAMES=geom_y",
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source + "|credential:X=Y|credential:Z=A",
                        "MASK": mask,
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdalwarp",
                    "-overwrite -of JPEG -cutline "
                    + mask
                    + " -cl polys2 -crop_to_cutline "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg --config X Y --config Z A",
                ],
            )

    def testContourPolygon(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "dem.tif")
        alg = contour_polygon()
        alg.initAlgorithm()
        with tempfile.TemporaryDirectory() as outdir:
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "FIELD_NAME_MIN": "min",
                        "FIELD_NAME_MAX": "max",
                        "INTERVAL": 5,
                        "OUTPUT": outdir + "/check.shp",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_contour",
                    '-p -amax max -amin min -b 1 -i 5.0 -f "ESRI Shapefile" '
                    + source
                    + " "
                    + outdir
                    + "/check.shp",
                ],
            )

    def testContour(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "dem.tif")
        alg = contour()
        alg.initAlgorithm()

        with tempfile.TemporaryDirectory() as outdir:
            # with no NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "FIELD_NAME": "elev",
                        "INTERVAL": 5,
                        "OUTPUT": outdir + "/check.shp",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_contour",
                    '-b 1 -a elev -i 5.0 -f "ESRI Shapefile" '
                    + source
                    + " "
                    + outdir
                    + "/check.shp",
                ],
            )
            # with NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "FIELD_NAME": "elev",
                        "INTERVAL": 5,
                        "NODATA": 9999,
                        "OUTPUT": outdir + "/check.shp",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_contour",
                    '-b 1 -a elev -i 5.0 -snodata 9999.0 -f "ESRI Shapefile" '
                    + source
                    + " "
                    + outdir
                    + "/check.shp",
                ],
            )
            # with "0" NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "FIELD_NAME": "elev",
                        "INTERVAL": 5,
                        "NODATA": 0,
                        "OUTPUT": outdir + "/check.gpkg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_contour",
                    '-b 1 -a elev -i 5.0 -snodata 0.0 -f "GPKG" '
                    + source
                    + " "
                    + outdir
                    + "/check.gpkg",
                ],
            )
            # with CREATE_3D
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "CREATE_3D": True,
                        "OUTPUT": outdir + "/check.shp",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_contour",
                    '-b 1 -a ELEV -i 10.0 -3d -f "ESRI Shapefile" '
                    + source
                    + " "
                    + outdir
                    + "/check.shp",
                ],
            )
            # with IGNORE_NODATA and OFFSET
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "IGNORE_NODATA": True,
                        "OFFSET": 100,
                        "OUTPUT": outdir + "/check.shp",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_contour",
                    '-b 1 -a ELEV -i 10.0 -inodata -off 100.0 -f "ESRI Shapefile" '
                    + source
                    + " "
                    + outdir
                    + "/check.shp",
                ],
            )
            # with additional command line parameters
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "EXTRA": "-e 3 -amin MIN_H",
                        "OUTPUT": outdir + "/check.shp",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_contour",
                    '-b 1 -a ELEV -i 10.0 -f "ESRI Shapefile" -e 3 -amin MIN_H '
                    + source
                    + " "
                    + outdir
                    + "/check.shp",
                ],
            )
            # obsolete OPTIONS param
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "OPTIONS": "-fl 100 125 150 200",
                        "OUTPUT": outdir + "/check.shp",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_contour",
                    '-b 1 -a ELEV -i 10.0 -f "ESRI Shapefile" -fl 100 125 150 200 '
                    + source
                    + " "
                    + outdir
                    + "/check.shp",
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source + "|credential:X=Y|credential:Z=A",
                        "BAND": 1,
                        "FIELD_NAME": "elev",
                        "INTERVAL": 5,
                        "OUTPUT": outdir + "/check.shp",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_contour",
                    '-b 1 -a elev -i 5.0 -f "ESRI Shapefile" --config X Y --config Z A '
                    + source
                    + " "
                    + outdir
                    + "/check.shp",
                ],
            )

    def testGdal2Tiles(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "dem.tif")
        alg = gdal2tiles()
        alg.initAlgorithm()

        with tempfile.TemporaryDirectory() as outdir:
            # with no NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "OUTPUT": outdir + "/"}, context, feedback
                ),
                [
                    "gdal2tiles.py",
                    "-p mercator -w all -r average " + source + " " + outdir + "/",
                ],
            )
            # with NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "NODATA": -9999, "OUTPUT": outdir + "/"},
                    context,
                    feedback,
                ),
                [
                    "gdal2tiles.py",
                    "-p mercator -w all -r average -a -9999.0 "
                    + source
                    + " "
                    + outdir
                    + "/",
                ],
            )
            # with "0" NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "NODATA": 0, "OUTPUT": outdir + "/"},
                    context,
                    feedback,
                ),
                [
                    "gdal2tiles.py",
                    "-p mercator -w all -r average -a 0.0 "
                    + source
                    + " "
                    + outdir
                    + "/",
                ],
            )

            # with input srs
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "SOURCE_CRS": "EPSG:3111",
                        "OUTPUT": outdir + "/",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal2tiles.py",
                    "-p mercator -w all -r average -s EPSG:3111 "
                    + source
                    + " "
                    + outdir
                    + "/",
                ],
            )

            # with target using proj string
            custom_crs = "proj4: +proj=utm +zone=36 +south +a=6378249.145 +b=6356514.966398753 +towgs84=-143,-90,-294,0,0,0,0 +units=m +no_defs"
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "SOURCE_CRS": custom_crs, "OUTPUT": outdir + "/"},
                    context,
                    feedback,
                ),
                [
                    "gdal2tiles.py",
                    "-p mercator -w all -r average -s EPSG:20936 "
                    + source
                    + " "
                    + outdir
                    + "/",
                ],
            )

            # with target using custom projection
            custom_crs, expected_crs_string = (
                self.get_param_value_and_expected_string_for_custom_crs(
                    "+proj=utm +zone=36 +south +a=63785 +b=6357 +towgs84=-143,-90,-294,0,0,0,0 +units=m +no_defs"
                )
            )
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "SOURCE_CRS": custom_crs, "OUTPUT": outdir + "/"},
                    context,
                    feedback,
                ),
                [
                    "gdal2tiles.py",
                    f'-p mercator -w all -r average -s "{expected_crs_string}" '
                    + source
                    + " "
                    + outdir
                    + "/",
                ],
            )

            # with non-EPSG crs code
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "SOURCE_CRS": "POSTGIS:3111",
                        "OUTPUT": outdir + "/",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal2tiles.py",
                    "-p mercator -w all -r average -s EPSG:3111 "
                    + source
                    + " "
                    + outdir
                    + "/",
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source + "|credential:X=Y|credential:Z=A",
                        "OUTPUT": outdir + "/",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal2tiles.py",
                    "-p mercator -w all -r average "
                    + source
                    + " "
                    + outdir
                    + "/ --config X Y --config Z A",
                ],
            )

    def testGdalCalc(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "dem.tif")
        source2 = os.path.join(testDataPath, "raster.tif")
        source3 = os.path.join(testDataPath, "raster with spaces.tif")
        alg = gdalcalc()
        alg.initAlgorithm()

        with tempfile.TemporaryDirectory() as outdir:
            output = outdir + "/check.jpg"

            # default execution
            formula = "A*2"  # default formula
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT_A": source,
                        "BAND_A": 1,
                        "FORMULA": formula,
                        "OUTPUT": output,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_calc.py",
                    f'--overwrite --calc "{formula}" --format JPEG --type Float32 -A {source} --A_band 1 --outfile {output}',
                ],
            )

            if GdalUtils.version() >= 3030000:
                extent = QgsReferencedRectangle(
                    QgsRectangle(1, 2, 3, 4), QgsCoordinateReferenceSystem("EPSG:4326")
                )
                self.assertEqual(
                    alg.getConsoleCommands(
                        {
                            "INPUT_A": source,
                            "BAND_A": 1,
                            "FORMULA": formula,
                            "PROJWIN": extent,
                            "OUTPUT": output,
                        },
                        context,
                        feedback,
                    ),
                    [
                        "gdal_calc.py",
                        f'--overwrite --calc "{formula}" --format JPEG --type Float32 --projwin 1.0 4.0 3.0 2.0 -A {source} --A_band 1 --outfile {output}',
                    ],
                )

                # Inputs A and B share same pixel size and CRS
                self.assertEqual(
                    alg.getConsoleCommands(
                        {
                            "INPUT_A": source2,
                            "BAND_A": 1,
                            "INPUT_B": source3,
                            "BAND_B": 1,
                            "FORMULA": formula,
                            "EXTENT_OPT": 3,
                            "OUTPUT": output,
                        },
                        context,
                        feedback,
                    ),
                    [
                        "gdal_calc.py",
                        f'--overwrite --calc "{formula}" --format JPEG --type Float32 --extent=intersect -A {source2} --A_band 1 -B "{source3}" --B_band 1 --outfile {output}',
                    ],
                )

                # Test mutually exclusive --extent and --projwin. Should raise an exception
                self.assertRaises(
                    QgsProcessingException,
                    lambda: alg.getConsoleCommands(
                        {
                            "INPUT_A": source,
                            "BAND_A": 1,
                            "FORMULA": formula,
                            "PROJWIN": extent,
                            "EXTENT_OPT": 3,
                            "OUTPUT": output,
                        },
                        context,
                        feedback,
                    ),
                )

                # Inputs A and B do not share same pixel size and CRS. Should raise an exception
                source2 = os.path.join(testDataPath, "raster.tif")
                self.assertRaises(
                    QgsProcessingException,
                    lambda: alg.getConsoleCommands(
                        {
                            "INPUT_A": source,
                            "BAND_A": 1,
                            "INPUT_B": source2,
                            "BAND_B": 1,
                            "FORMULA": formula,
                            "EXTENT_OPT": 3,
                            "OUTPUT": output,
                        },
                        context,
                        feedback,
                    ),
                )

            # check that formula is not escaped and formula is returned as it is
            formula = "A * 2"  # <--- add spaces in the formula
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT_A": source,
                        "BAND_A": 1,
                        "FORMULA": formula,
                        "OUTPUT": output,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_calc.py",
                    f'--overwrite --calc "{formula}" --format JPEG --type Float32 -A {source} --A_band 1 --outfile {output}',
                ],
            )

            # additional creation options
            formula = "A*2"
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT_A": source,
                        "BAND_A": 1,
                        "FORMULA": formula,
                        "OPTIONS": "COMPRESS=JPEG|JPEG_QUALITY=75",
                        "OUTPUT": output,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_calc.py",
                    f'--overwrite --calc "{formula}" --format JPEG --type Float32 -A {source} --A_band 1 --co COMPRESS=JPEG --co JPEG_QUALITY=75 --outfile {output}',
                ],
            )

            # additional parameters
            formula = "A*2"
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT_A": source,
                        "BAND_A": 1,
                        "FORMULA": formula,
                        "EXTRA": "--debug --quiet",
                        "OUTPUT": output,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_calc.py",
                    f'--overwrite --calc "{formula}" --format JPEG --type Float32 -A {source} --A_band 1 --debug --quiet --outfile {output}',
                ],
            )

    def testGdalInfo(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "dem.tif")
        alg = gdalinfo()
        alg.initAlgorithm()

        self.assertEqual(
            alg.getConsoleCommands(
                {
                    "INPUT": source,
                    "MIN_MAX": False,
                    "NOGCP": False,
                    "NO_METADATA": False,
                    "STATS": False,
                },
                context,
                feedback,
            ),
            ["gdalinfo", source],
        )

        source = os.path.join(testDataPath, "raster with spaces.tif")
        self.assertEqual(
            alg.getConsoleCommands(
                {
                    "INPUT": source,
                    "MIN_MAX": False,
                    "NOGCP": False,
                    "NO_METADATA": False,
                    "STATS": False,
                },
                context,
                feedback,
            ),
            ["gdalinfo", '"' + source + '"'],
        )

        self.assertEqual(
            alg.getConsoleCommands(
                {
                    "INPUT": source,
                    "MIN_MAX": True,
                    "NOGCP": False,
                    "NO_METADATA": False,
                    "STATS": False,
                },
                context,
                feedback,
            ),
            ["gdalinfo", '-mm "' + source + '"'],
        )

        self.assertEqual(
            alg.getConsoleCommands(
                {
                    "INPUT": source,
                    "MIN_MAX": False,
                    "NOGCP": True,
                    "NO_METADATA": False,
                    "STATS": False,
                },
                context,
                feedback,
            ),
            ["gdalinfo", '-nogcp "' + source + '"'],
        )

        self.assertEqual(
            alg.getConsoleCommands(
                {
                    "INPUT": source,
                    "MIN_MAX": False,
                    "NOGCP": False,
                    "NO_METADATA": True,
                    "STATS": False,
                },
                context,
                feedback,
            ),
            ["gdalinfo", '-nomd "' + source + '"'],
        )

        self.assertEqual(
            alg.getConsoleCommands(
                {
                    "INPUT": source,
                    "MIN_MAX": False,
                    "NOGCP": False,
                    "NO_METADATA": False,
                    "STATS": True,
                },
                context,
                feedback,
            ),
            ["gdalinfo", '-stats "' + source + '"'],
        )

        self.assertEqual(
            alg.getConsoleCommands(
                {
                    "INPUT": source,
                    "MIN_MAX": False,
                    "NOGCP": False,
                    "NO_METADATA": False,
                    "STATS": False,
                    "EXTRA": "-proj4 -listmdd -checksum",
                },
                context,
                feedback,
            ),
            ["gdalinfo", '-proj4 -listmdd -checksum "' + source + '"'],
        )

        self.assertEqual(
            alg.getConsoleCommands(
                {
                    "INPUT": source
                    + "|option:X_POSSIBLE_NAMES=geom_x|option:Y_POSSIBLE_NAMES=geom_y",
                    "MIN_MAX": False,
                    "NOGCP": False,
                    "NO_METADATA": False,
                    "STATS": False,
                },
                context,
                feedback,
            ),
            [
                "gdalinfo",
                '"'
                + source
                + '" -oo X_POSSIBLE_NAMES=geom_x -oo Y_POSSIBLE_NAMES=geom_y',
            ],
        )

        self.assertEqual(
            alg.getConsoleCommands(
                {
                    "INPUT": source + "|credential:X=Y|credential:Z=A",
                    "MIN_MAX": False,
                    "NOGCP": False,
                    "NO_METADATA": False,
                    "STATS": False,
                },
                context,
                feedback,
            ),
            ["gdalinfo", '"' + source + '" --config X Y --config Z A'],
        )

    def testGdalTindex(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "dem.tif")
        alg = gdaltindex()
        alg.initAlgorithm()

        with tempfile.TemporaryDirectory() as outdir:
            commands = alg.getConsoleCommands(
                {"LAYERS": [source], "OUTPUT": outdir + "/test.shp"}, context, feedback
            )
            self.assertEqual(len(commands), 2)
            self.assertEqual(commands[0], "gdaltindex")
            self.assertIn(
                '-tileindex location -f "ESRI Shapefile" ' + outdir + "/test.shp",
                commands[1],
            )
            self.assertIn("--optfile ", commands[1])

            # with input srs
            commands = alg.getConsoleCommands(
                {
                    "LAYERS": [source],
                    "TARGET_CRS": "EPSG:3111",
                    "OUTPUT": outdir + "/test.shp",
                },
                context,
                feedback,
            )
            self.assertEqual(len(commands), 2)
            self.assertEqual(commands[0], "gdaltindex")
            self.assertIn(
                '-tileindex location -t_srs EPSG:3111 -f "ESRI Shapefile" '
                + outdir
                + "/test.shp",
                commands[1],
            )
            self.assertIn("--optfile ", commands[1])

            # with target using proj string
            custom_crs = "proj4: +proj=utm +zone=36 +south +a=6378249.145 +b=6356514.966398753 +towgs84=-143,-90,-294,0,0,0,0 +units=m +no_defs"
            commands = alg.getConsoleCommands(
                {
                    "LAYERS": [source],
                    "TARGET_CRS": custom_crs,
                    "OUTPUT": outdir + "/test.shp",
                },
                context,
                feedback,
            )
            self.assertEqual(len(commands), 2)
            self.assertEqual(commands[0], "gdaltindex")
            self.assertIn(
                '-tileindex location -t_srs EPSG:20936 -f "ESRI Shapefile" '
                + outdir
                + "/test.shp",
                commands[1],
            )
            self.assertIn("--optfile ", commands[1])

            # with target using custom projection
            custom_crs, expected_crs_string = (
                self.get_param_value_and_expected_string_for_custom_crs(
                    "+proj=utm +zone=36 +south +a=63785 +b=6357 +towgs84=-143,-90,-294,0,0,0,0 +units=m +no_defs"
                )
            )
            commands = alg.getConsoleCommands(
                {
                    "LAYERS": [source],
                    "TARGET_CRS": custom_crs,
                    "OUTPUT": outdir + "/test.shp",
                },
                context,
                feedback,
            )
            self.assertEqual(len(commands), 2)
            self.assertEqual(commands[0], "gdaltindex")
            self.assertIn(
                f'-tileindex location -t_srs "{expected_crs_string}" -f "ESRI Shapefile" '
                + outdir
                + "/test.shp",
                commands[1],
            )
            self.assertIn("--optfile ", commands[1])

            # with non-EPSG crs code
            commands = alg.getConsoleCommands(
                {
                    "LAYERS": [source],
                    "TARGET_CRS": "POSTGIS:3111",
                    "OUTPUT": outdir + "/test.shp",
                },
                context,
                feedback,
            )
            self.assertEqual(len(commands), 2)
            self.assertEqual(commands[0], "gdaltindex")
            self.assertIn(
                '-tileindex location -t_srs EPSG:3111 -f "ESRI Shapefile" '
                + outdir
                + "/test.shp",
                commands[1],
            )
            self.assertIn("--optfile ", commands[1])

    def testGridAverage(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "points.gml")
        alg = GridAverage()
        alg.initAlgorithm()

        with tempfile.TemporaryDirectory() as outdir:
            # with no NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "OUTPUT": outdir + "/check.jpg"},
                    context,
                    feedback,
                ),
                [
                    "gdal_grid",
                    "-l points -a average:radius1=0.0:radius2=0.0:angle=0.0:min_points=0:nodata=0.0 -ot Float32 -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # with NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "NODATA": 9999, "OUTPUT": outdir + "/check.jpg"},
                    context,
                    feedback,
                ),
                [
                    "gdal_grid",
                    "-l points -a average:radius1=0.0:radius2=0.0:angle=0.0:min_points=0:nodata=9999.0 -ot Float32 -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # with "0" NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "NODATA": 0, "OUTPUT": outdir + "/check.jpg"},
                    context,
                    feedback,
                ),
                [
                    "gdal_grid",
                    "-l points -a average:radius1=0.0:radius2=0.0:angle=0.0:min_points=0:nodata=0.0 -ot Float32 -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )

            # with additional parameters
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "EXTRA": "-z_multiply 1.5 -outsize 1754 1394",
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_grid",
                    "-l points -a average:radius1=0.0:radius2=0.0:angle=0.0:min_points=0:nodata=0.0 -ot Float32 -of JPEG -z_multiply 1.5 -outsize 1754 1394 "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )

            if GdalUtils.version() >= 3070000:
                self.assertEqual(
                    alg.getConsoleCommands(
                        {
                            "INPUT": source
                            + "|option:X_POSSIBLE_NAMES=geom_x|option:Y_POSSIBLE_NAMES=geom_y",
                            "EXTRA": "-z_multiply 1.5 -outsize 1754 1394",
                            "OUTPUT": outdir + "/check.jpg",
                        },
                        context,
                        feedback,
                    ),
                    [
                        "gdal_grid",
                        "-l points -a average:radius1=0.0:radius2=0.0:angle=0.0:min_points=0:nodata=0.0 -ot Float32 -of JPEG -oo X_POSSIBLE_NAMES=geom_x -oo Y_POSSIBLE_NAMES=geom_y -z_multiply 1.5 -outsize 1754 1394 "
                        + source
                        + " "
                        + outdir
                        + "/check.jpg",
                    ],
                )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source + "|credential:X=Y|credential:Z=A",
                        "EXTRA": "-z_multiply 1.5 -outsize 1754 1394",
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_grid",
                    "-l points -a average:radius1=0.0:radius2=0.0:angle=0.0:min_points=0:nodata=0.0 -ot Float32 -of JPEG -z_multiply 1.5 -outsize 1754 1394 "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg --config X Y --config Z A",
                ],
            )

    def testGridDataMetrics(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "points.gml")
        alg = GridDataMetrics()
        alg.initAlgorithm()

        with tempfile.TemporaryDirectory() as outdir:
            # without NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "OUTPUT": outdir + "/check.jpg"},
                    context,
                    feedback,
                ),
                [
                    "gdal_grid",
                    "-l points -a minimum:radius1=0.0:radius2=0.0:angle=0.0:min_points=0:nodata=0.0 -ot Float32 -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # with NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "NODATA": 9999, "OUTPUT": outdir + "/check.jpg"},
                    context,
                    feedback,
                ),
                [
                    "gdal_grid",
                    "-l points -a minimum:radius1=0.0:radius2=0.0:angle=0.0:min_points=0:nodata=9999.0 -ot Float32 -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # with "0" NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "NODATA": 0, "OUTPUT": outdir + "/check.jpg"},
                    context,
                    feedback,
                ),
                [
                    "gdal_grid",
                    "-l points -a minimum:radius1=0.0:radius2=0.0:angle=0.0:min_points=0:nodata=0.0 -ot Float32 -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # non-default datametrics
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "METRIC": 4, "OUTPUT": outdir + "/check.jpg"},
                    context,
                    feedback,
                ),
                [
                    "gdal_grid",
                    "-l points -a average_distance:radius1=0.0:radius2=0.0:angle=0.0:min_points=0:nodata=0.0 -ot Float32 -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # additional parameters
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "EXTRA": "-z_multiply 1.5 -outsize 1754 1394",
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_grid",
                    "-l points -a minimum:radius1=0.0:radius2=0.0:angle=0.0:min_points=0:nodata=0.0 "
                    + "-ot Float32 -of GTiff -z_multiply 1.5 -outsize 1754 1394 "
                    + source
                    + " "
                    + outdir
                    + "/check.tif",
                ],
            )

            if GdalUtils.version() >= 3070000:
                self.assertEqual(
                    alg.getConsoleCommands(
                        {
                            "INPUT": source
                            + "|option:X_POSSIBLE_NAMES=geom_x|option:Y_POSSIBLE_NAMES=geom_y",
                            "EXTRA": "-z_multiply 1.5 -outsize 1754 1394",
                            "OUTPUT": outdir + "/check.tif",
                        },
                        context,
                        feedback,
                    ),
                    [
                        "gdal_grid",
                        "-l points -a minimum:radius1=0.0:radius2=0.0:angle=0.0:min_points=0:nodata=0.0 "
                        + "-ot Float32 -of GTiff -oo X_POSSIBLE_NAMES=geom_x -oo Y_POSSIBLE_NAMES=geom_y -z_multiply 1.5 -outsize 1754 1394 "
                        + source
                        + " "
                        + outdir
                        + "/check.tif",
                    ],
                )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source + "|credential:X=Y|credential:Z=A",
                        "EXTRA": "-z_multiply 1.5 -outsize 1754 1394",
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_grid",
                    "-l points -a minimum:radius1=0.0:radius2=0.0:angle=0.0:min_points=0:nodata=0.0 "
                    + "-ot Float32 -of GTiff -z_multiply 1.5 -outsize 1754 1394 "
                    + source
                    + " "
                    + outdir
                    + "/check.tif --config X Y --config Z A",
                ],
            )

    def testGridInverseDistance(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "points.gml")
        alg = GridInverseDistance()
        alg.initAlgorithm()

        with tempfile.TemporaryDirectory() as outdir:
            # without NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "OUTPUT": outdir + "/check.jpg"},
                    context,
                    feedback,
                ),
                [
                    "gdal_grid",
                    "-l points -a invdist:power=2.0:smoothing=0.0:radius1=0.0:radius2=0.0:angle=0.0:max_points=0:min_points=0:nodata=0.0 -ot Float32 -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # with NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "NODATA": 9999, "OUTPUT": outdir + "/check.jpg"},
                    context,
                    feedback,
                ),
                [
                    "gdal_grid",
                    "-l points -a invdist:power=2.0:smoothing=0.0:radius1=0.0:radius2=0.0:angle=0.0:max_points=0:min_points=0:nodata=9999.0 -ot Float32 -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # with "0" NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "NODATA": 0, "OUTPUT": outdir + "/check.jpg"},
                    context,
                    feedback,
                ),
                [
                    "gdal_grid",
                    "-l points -a invdist:power=2.0:smoothing=0.0:radius1=0.0:radius2=0.0:angle=0.0:max_points=0:min_points=0:nodata=0.0 -ot Float32 -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # additional parameters
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "EXTRA": "-z_multiply 1.5 -outsize 1754 1394",
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_grid",
                    "-l points -a invdist:power=2.0:smoothing=0.0:radius1=0.0:radius2=0.0:angle=0.0:max_points=0:min_points=0:nodata=0.0 "
                    + "-ot Float32 -of GTiff -z_multiply 1.5 -outsize 1754 1394 "
                    + source
                    + " "
                    + outdir
                    + "/check.tif",
                ],
            )

            if GdalUtils.version() >= 3070000:
                self.assertEqual(
                    alg.getConsoleCommands(
                        {
                            "INPUT": source
                            + "|option:X_POSSIBLE_NAMES=geom_x|option:Y_POSSIBLE_NAMES=geom_y",
                            "EXTRA": "-z_multiply 1.5 -outsize 1754 1394",
                            "OUTPUT": outdir + "/check.tif",
                        },
                        context,
                        feedback,
                    ),
                    [
                        "gdal_grid",
                        "-l points -a invdist:power=2.0:smoothing=0.0:radius1=0.0:radius2=0.0:angle=0.0:max_points=0:min_points=0:nodata=0.0 "
                        + "-ot Float32 -of GTiff -oo X_POSSIBLE_NAMES=geom_x -oo Y_POSSIBLE_NAMES=geom_y -z_multiply 1.5 -outsize 1754 1394 "
                        + source
                        + " "
                        + outdir
                        + "/check.tif",
                    ],
                )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source + "|credential:X=Y|credential:Z=A",
                        "EXTRA": "-z_multiply 1.5 -outsize 1754 1394",
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_grid",
                    "-l points -a invdist:power=2.0:smoothing=0.0:radius1=0.0:radius2=0.0:angle=0.0:max_points=0:min_points=0:nodata=0.0 "
                    + "-ot Float32 -of GTiff -z_multiply 1.5 -outsize 1754 1394 "
                    + source
                    + " "
                    + outdir
                    + "/check.tif --config X Y --config Z A",
                ],
            )

    def testGridInverseDistanceNearestNeighbour(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "points.gml")
        alg = GridInverseDistanceNearestNeighbor()
        alg.initAlgorithm()

        with tempfile.TemporaryDirectory() as outdir:
            # without NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "OUTPUT": outdir + "/check.jpg"},
                    context,
                    feedback,
                ),
                [
                    "gdal_grid",
                    "-l points -a invdistnn:power=2.0:smoothing=0.0:radius=1.0:max_points=12:min_points=0:nodata=0.0 -ot Float32 -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # with NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "NODATA": 9999, "OUTPUT": outdir + "/check.jpg"},
                    context,
                    feedback,
                ),
                [
                    "gdal_grid",
                    "-l points -a invdistnn:power=2.0:smoothing=0.0:radius=1.0:max_points=12:min_points=0:nodata=9999.0 -ot Float32 -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # with "0" NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "NODATA": 0, "OUTPUT": outdir + "/check.jpg"},
                    context,
                    feedback,
                ),
                [
                    "gdal_grid",
                    "-l points -a invdistnn:power=2.0:smoothing=0.0:radius=1.0:max_points=12:min_points=0:nodata=0.0 -ot Float32 -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # additional parameters
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "EXTRA": "-z_multiply 1.5 -outsize 1754 1394",
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_grid",
                    "-l points -a invdistnn:power=2.0:smoothing=0.0:radius=1.0:max_points=12:min_points=0:nodata=0.0 "
                    + "-ot Float32 -of GTiff -z_multiply 1.5 -outsize 1754 1394 "
                    + source
                    + " "
                    + outdir
                    + "/check.tif",
                ],
            )

            if GdalUtils.version() >= 3070000:
                self.assertEqual(
                    alg.getConsoleCommands(
                        {
                            "INPUT": source
                            + "|option:X_POSSIBLE_NAMES=geom_x|option:Y_POSSIBLE_NAMES=geom_y",
                            "EXTRA": "-z_multiply 1.5 -outsize 1754 1394",
                            "OUTPUT": outdir + "/check.tif",
                        },
                        context,
                        feedback,
                    ),
                    [
                        "gdal_grid",
                        "-l points -a invdistnn:power=2.0:smoothing=0.0:radius=1.0:max_points=12:min_points=0:nodata=0.0 "
                        + "-ot Float32 -of GTiff -oo X_POSSIBLE_NAMES=geom_x -oo Y_POSSIBLE_NAMES=geom_y -z_multiply 1.5 -outsize 1754 1394 "
                        + source
                        + " "
                        + outdir
                        + "/check.tif",
                    ],
                )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source + "|credential:X=Y|credential:Z=A",
                        "EXTRA": "-z_multiply 1.5 -outsize 1754 1394",
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_grid",
                    "-l points -a invdistnn:power=2.0:smoothing=0.0:radius=1.0:max_points=12:min_points=0:nodata=0.0 "
                    + "-ot Float32 -of GTiff -z_multiply 1.5 -outsize 1754 1394 "
                    + source
                    + " "
                    + outdir
                    + "/check.tif --config X Y --config Z A",
                ],
            )

    def testGridLinear(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "points.gml")
        alg = GridLinear()
        alg.initAlgorithm()

        with tempfile.TemporaryDirectory() as outdir:
            # without NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "OUTPUT": outdir + "/check.jpg"},
                    context,
                    feedback,
                ),
                [
                    "gdal_grid",
                    "-l points -a linear:radius=-1.0:nodata=0.0 -ot Float32 -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # with NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "NODATA": 9999, "OUTPUT": outdir + "/check.jpg"},
                    context,
                    feedback,
                ),
                [
                    "gdal_grid",
                    "-l points -a linear:radius=-1.0:nodata=9999.0 -ot Float32 -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # with "0" NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "NODATA": 0, "OUTPUT": outdir + "/check.jpg"},
                    context,
                    feedback,
                ),
                [
                    "gdal_grid",
                    "-l points -a linear:radius=-1.0:nodata=0.0 -ot Float32 -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # additional parameters
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "EXTRA": "-z_multiply 1.5 -outsize 1754 1394",
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_grid",
                    "-l points -a linear:radius=-1.0:nodata=0.0 -ot Float32 -of GTiff "
                    + "-z_multiply 1.5 -outsize 1754 1394 "
                    + source
                    + " "
                    + outdir
                    + "/check.tif",
                ],
            )

            if GdalUtils.version() >= 3070000:
                self.assertEqual(
                    alg.getConsoleCommands(
                        {
                            "INPUT": source
                            + "|option:X_POSSIBLE_NAMES=geom_x|option:Y_POSSIBLE_NAMES=geom_y",
                            "EXTRA": "-z_multiply 1.5 -outsize 1754 1394",
                            "OUTPUT": outdir + "/check.tif",
                        },
                        context,
                        feedback,
                    ),
                    [
                        "gdal_grid",
                        "-l points -a linear:radius=-1.0:nodata=0.0 -ot Float32 -of GTiff -oo X_POSSIBLE_NAMES=geom_x -oo Y_POSSIBLE_NAMES=geom_y "
                        + "-z_multiply 1.5 -outsize 1754 1394 "
                        + source
                        + " "
                        + outdir
                        + "/check.tif",
                    ],
                )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source + "|credential:X=Y|credential:Z=A",
                        "EXTRA": "-z_multiply 1.5 -outsize 1754 1394",
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_grid",
                    "-l points -a linear:radius=-1.0:nodata=0.0 -ot Float32 -of GTiff "
                    + "-z_multiply 1.5 -outsize 1754 1394 "
                    + source
                    + " "
                    + outdir
                    + "/check.tif --config X Y --config Z A",
                ],
            )

    def testGridNearestNeighbour(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "points.gml")
        alg = GridNearestNeighbor()
        alg.initAlgorithm()

        with tempfile.TemporaryDirectory() as outdir:
            # without NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "OUTPUT": outdir + "/check.jpg"},
                    context,
                    feedback,
                ),
                [
                    "gdal_grid",
                    "-l points -a nearest:radius1=0.0:radius2=0.0:angle=0.0:nodata=0.0 -ot Float32 -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # with NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "NODATA": 9999, "OUTPUT": outdir + "/check.jpg"},
                    context,
                    feedback,
                ),
                [
                    "gdal_grid",
                    "-l points -a nearest:radius1=0.0:radius2=0.0:angle=0.0:nodata=9999.0 -ot Float32 -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # with "0" NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "NODATA": 0, "OUTPUT": outdir + "/check.jpg"},
                    context,
                    feedback,
                ),
                [
                    "gdal_grid",
                    "-l points -a nearest:radius1=0.0:radius2=0.0:angle=0.0:nodata=0.0 -ot Float32 -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # additional parameters
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "EXTRA": "-z_multiply 1.5 -outsize 1754 1394",
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_grid",
                    "-l points -a nearest:radius1=0.0:radius2=0.0:angle=0.0:nodata=0.0 -ot Float32 -of GTiff "
                    + "-z_multiply 1.5 -outsize 1754 1394 "
                    + source
                    + " "
                    + outdir
                    + "/check.tif",
                ],
            )

            if GdalUtils.version() >= 3070000:
                self.assertEqual(
                    alg.getConsoleCommands(
                        {
                            "INPUT": source
                            + "|option:X_POSSIBLE_NAMES=geom_x|option:Y_POSSIBLE_NAMES=geom_y",
                            "EXTRA": "-z_multiply 1.5 -outsize 1754 1394",
                            "OUTPUT": outdir + "/check.tif",
                        },
                        context,
                        feedback,
                    ),
                    [
                        "gdal_grid",
                        "-l points -a nearest:radius1=0.0:radius2=0.0:angle=0.0:nodata=0.0 -ot Float32 -of GTiff -oo X_POSSIBLE_NAMES=geom_x -oo Y_POSSIBLE_NAMES=geom_y "
                        + "-z_multiply 1.5 -outsize 1754 1394 "
                        + source
                        + " "
                        + outdir
                        + "/check.tif",
                    ],
                )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source + "|credential:X=Y|credential:Z=A",
                        "EXTRA": "-z_multiply 1.5 -outsize 1754 1394",
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_grid",
                    "-l points -a nearest:radius1=0.0:radius2=0.0:angle=0.0:nodata=0.0 -ot Float32 -of GTiff "
                    + "-z_multiply 1.5 -outsize 1754 1394 "
                    + source
                    + " "
                    + outdir
                    + "/check.tif --config X Y --config Z A",
                ],
            )

    def testHillshade(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "dem.tif")
        alg = hillshade()
        alg.initAlgorithm()

        with tempfile.TemporaryDirectory() as outdir:
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "Z_FACTOR": 5,
                        "SCALE": 2,
                        "AZIMUTH": 90,
                        "ALTITUDE": 20,
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "hillshade "
                    + source
                    + " "
                    + outdir
                    + "/check.tif -of GTiff -b 1 -z 5.0 -s 2.0 -az 90.0 -alt 20.0",
                ],
            )

            # paths with space
            source_with_space = os.path.join(testDataPath, "raster with spaces.tif")
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source_with_space,
                        "BAND": 1,
                        "Z_FACTOR": 5,
                        "SCALE": 2,
                        "AZIMUTH": 90,
                        "ALTITUDE": 20,
                        "OUTPUT": outdir + "/check out.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "hillshade "
                    + '"'
                    + source_with_space
                    + '" '
                    + f'"{outdir}/check out.tif" -of GTiff -b 1 -z 5.0 -s 2.0 -az 90.0 -alt 20.0',
                ],
            )

            # compute edges
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "Z_FACTOR": 5,
                        "SCALE": 2,
                        "AZIMUTH": 90,
                        "ALTITUDE": 20,
                        "COMPUTE_EDGES": True,
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "hillshade "
                    + source
                    + " "
                    + outdir
                    + "/check.tif -of GTiff -b 1 -z 5.0 -s 2.0 -az 90.0 -alt 20.0 -compute_edges",
                ],
            )

            # with ZEVENBERGEN
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "Z_FACTOR": 5,
                        "SCALE": 2,
                        "AZIMUTH": 90,
                        "ALTITUDE": 20,
                        "ZEVENBERGEN": True,
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "hillshade "
                    + source
                    + " "
                    + outdir
                    + "/check.tif -of GTiff -b 1 -z 5.0 -s 2.0 -az 90.0 -alt 20.0 -alg ZevenbergenThorne",
                ],
            )

            # with COMBINED
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "Z_FACTOR": 5,
                        "SCALE": 2,
                        "AZIMUTH": 90,
                        "ALTITUDE": 20,
                        "COMBINED": True,
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "hillshade "
                    + source
                    + " "
                    + outdir
                    + "/check.tif -of GTiff -b 1 -z 5.0 -s 2.0 -az 90.0 -alt 20.0 -combined",
                ],
            )

            # with multidirectional - "az" argument is not allowed!
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "Z_FACTOR": 5,
                        "SCALE": 2,
                        "AZIMUTH": 90,
                        "ALTITUDE": 20,
                        "MULTIDIRECTIONAL": True,
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "hillshade "
                    + source
                    + " "
                    + outdir
                    + "/check.tif -of GTiff -b 1 -z 5.0 -s 2.0 -alt 20.0 -multidirectional",
                ],
            )

            # defaults with additional parameters
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "EXTRA": "-q",
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "hillshade "
                    + source
                    + " "
                    + outdir
                    + "/check.tif -of GTiff -b 1 -z 1.0 -s 1.0 -az 315.0 -alt 45.0 -q",
                ],
            )

            # multidirectional and combined are mutually exclusive
            self.assertRaises(
                QgsProcessingException,
                lambda: alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "Z_FACTOR": 5,
                        "SCALE": 2,
                        "AZIMUTH": 90,
                        "COMBINED": True,
                        "MULTIDIRECTIONAL": True,
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
            )
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source + "|credential:X=Y|credential:Z=A",
                        "BAND": 1,
                        "Z_FACTOR": 5,
                        "SCALE": 2,
                        "AZIMUTH": 90,
                        "ALTITUDE": 20,
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "hillshade "
                    + source
                    + " "
                    + outdir
                    + "/check.tif -of GTiff -b 1 -z 5.0 -s 2.0 -az 90.0 -alt 20.0 --config X Y --config Z A",
                ],
            )

    def testAspect(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "dem.tif")
        alg = aspect()
        alg.initAlgorithm()

        with tempfile.TemporaryDirectory() as outdir:
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "TRIG_ANGLE": False,
                        "ZERO_FLAT": False,
                        "COMPUTE_EDGES": False,
                        "ZEVENBERGEN": False,
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "aspect " + source + " " + outdir + "/check.tif -of GTiff -b 1",
                ],
            )

            # paths with space
            source_with_space = os.path.join(testDataPath, "raster with spaces.tif")
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source_with_space,
                        "BAND": 1,
                        "TRIG_ANGLE": False,
                        "ZERO_FLAT": False,
                        "COMPUTE_EDGES": False,
                        "ZEVENBERGEN": False,
                        "OUTPUT": outdir + "/check out.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "aspect "
                    + '"'
                    + source_with_space
                    + '" '
                    + f'"{outdir}/check out.tif" -of GTiff -b 1',
                ],
            )

            # compute edges
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "TRIG_ANGLE": False,
                        "ZERO_FLAT": False,
                        "COMPUTE_EDGES": True,
                        "ZEVENBERGEN": False,
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "aspect "
                    + source
                    + " "
                    + outdir
                    + "/check.tif -of GTiff -b 1 -compute_edges",
                ],
            )

            # with ZEVENBERGEN
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "TRIG_ANGLE": False,
                        "ZERO_FLAT": False,
                        "COMPUTE_EDGES": False,
                        "ZEVENBERGEN": True,
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "aspect "
                    + source
                    + " "
                    + outdir
                    + "/check.tif -of GTiff -b 1 -alg ZevenbergenThorne",
                ],
            )

            # with ZERO_FLAT
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "TRIG_ANGLE": False,
                        "ZERO_FLAT": True,
                        "COMPUTE_EDGES": False,
                        "ZEVENBERGEN": False,
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "aspect "
                    + source
                    + " "
                    + outdir
                    + "/check.tif -of GTiff -b 1 -zero_for_flat",
                ],
            )

            # with TRIG_ANGLE
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "TRIG_ANGLE": True,
                        "ZERO_FLAT": False,
                        "COMPUTE_EDGES": False,
                        "ZEVENBERGEN": False,
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "aspect "
                    + source
                    + " "
                    + outdir
                    + "/check.tif -of GTiff -b 1 -trigonometric",
                ],
            )

            # with creation options
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "TRIG_ANGLE": False,
                        "ZERO_FLAT": False,
                        "COMPUTE_EDGES": False,
                        "ZEVENBERGEN": False,
                        "OPTIONS": "COMPRESS=JPEG|JPEG_QUALITY=75",
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "aspect "
                    + source
                    + " "
                    + outdir
                    + "/check.tif -of GTiff -b 1 -co COMPRESS=JPEG -co JPEG_QUALITY=75",
                ],
            )

            # with additional parameter
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "TRIG_ANGLE": False,
                        "ZERO_FLAT": False,
                        "COMPUTE_EDGES": False,
                        "ZEVENBERGEN": False,
                        "EXTRA": "-q",
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "aspect " + source + " " + outdir + "/check.tif -of GTiff -b 1 -q",
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source + "|credential:X=Y|credential:Z=A",
                        "BAND": 1,
                        "TRIG_ANGLE": False,
                        "ZERO_FLAT": False,
                        "COMPUTE_EDGES": False,
                        "ZEVENBERGEN": False,
                        "EXTRA": "-q",
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "aspect "
                    + source
                    + " "
                    + outdir
                    + "/check.tif -of GTiff -b 1 --config X Y --config Z A -q",
                ],
            )

    def testSlope(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "dem.tif")
        alg = slope()
        alg.initAlgorithm()

        with tempfile.TemporaryDirectory() as outdir:
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "BAND": 1, "OUTPUT": outdir + "/check.tif"},
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "slope "
                    + source
                    + " "
                    + outdir
                    + "/check.tif -of GTiff -b 1 -s 1.0",
                ],
            )

            # compute edges
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "COMPUTE_EDGES": True,
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "slope "
                    + source
                    + " "
                    + outdir
                    + "/check.tif -of GTiff -b 1 -s 1.0 -compute_edges",
                ],
            )

            # with ZEVENBERGEN
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "ZEVENBERGEN": True,
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "slope "
                    + source
                    + " "
                    + outdir
                    + "/check.tif -of GTiff -b 1 -s 1.0 -alg ZevenbergenThorne",
                ],
            )

            # custom ratio
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "SCALE": 2.0,
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "slope "
                    + source
                    + " "
                    + outdir
                    + "/check.tif -of GTiff -b 1 -s 2.0",
                ],
            )

            # with creation options
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "OPTIONS": "COMPRESS=JPEG|JPEG_QUALITY=75",
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "slope "
                    + source
                    + " "
                    + outdir
                    + "/check.tif -of GTiff -b 1 -s 1.0 -co COMPRESS=JPEG -co JPEG_QUALITY=75",
                ],
            )

            # with additional parameter
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "EXTRA": "-q",
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "slope "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg -of JPEG -b 1 -s 1.0 -q",
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source + "|credential:X=Y|credential:Z=A",
                        "BAND": 1,
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "slope "
                    + source
                    + " "
                    + outdir
                    + "/check.tif -of GTiff -b 1 -s 1.0 --config X Y --config Z A",
                ],
            )

    def testColorRelief(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "dem.tif")
        colorTable = os.path.join(testDataPath, "colors.txt")
        alg = ColorRelief()
        alg.initAlgorithm()

        with tempfile.TemporaryDirectory() as outdir:
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "COLOR_TABLE": colorTable,
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "color-relief "
                    + source
                    + " "
                    + colorTable
                    + " "
                    + outdir
                    + "/check.tif -of GTiff -b 1",
                ],
            )

            # paths with space
            source_with_space = os.path.join(testDataPath, "raster with spaces.tif")
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source_with_space,
                        "BAND": 1,
                        "COLOR_TABLE": colorTable,
                        "OUTPUT": outdir + "/check out.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "color-relief "
                    + '"'
                    + source_with_space
                    + '" '
                    + colorTable
                    + " "
                    + f'"{outdir}/check out.tif" -of GTiff -b 1',
                ],
            )

            # compute edges
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "COLOR_TABLE": colorTable,
                        "COMPUTE_EDGES": True,
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "color-relief "
                    + source
                    + " "
                    + colorTable
                    + " "
                    + outdir
                    + "/check.tif -of GTiff -b 1 -compute_edges",
                ],
            )

            # with custom matching mode
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "COLOR_TABLE": colorTable,
                        "MATCH_MODE": 1,
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "color-relief "
                    + source
                    + " "
                    + colorTable
                    + " "
                    + outdir
                    + "/check.tif -of GTiff -b 1 -nearest_color_entry",
                ],
            )

            # with creation options
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "COLOR_TABLE": colorTable,
                        "MATCH_MODE": 1,
                        "OPTIONS": "COMPRESS=JPEG|JPEG_QUALITY=75",
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "color-relief "
                    + source
                    + " "
                    + colorTable
                    + " "
                    + outdir
                    + "/check.tif -of GTiff -b 1 -nearest_color_entry -co COMPRESS=JPEG -co JPEG_QUALITY=75",
                ],
            )

            # with additional parameter
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "COLOR_TABLE": colorTable,
                        "EXTRA": "-alpha -q",
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "color-relief "
                    + source
                    + " "
                    + colorTable
                    + " "
                    + outdir
                    + "/check.tif -of GTiff -b 1 -alpha -q",
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source + "|credential:X=Y|credential:Z=A",
                        "BAND": 1,
                        "COLOR_TABLE": colorTable,
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "color-relief "
                    + source
                    + " "
                    + colorTable
                    + " "
                    + outdir
                    + "/check.tif -of GTiff -b 1 --config X Y --config Z A",
                ],
            )

    def testProximity(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "dem.tif")
        alg = proximity()
        alg.initAlgorithm()

        with tempfile.TemporaryDirectory() as outdir:
            # without NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "BAND": 1, "OUTPUT": outdir + "/check.jpg"},
                    context,
                    feedback,
                ),
                [
                    "gdal_proximity.py",
                    "-srcband 1 -distunits PIXEL -ot Float32 -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # with NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "NODATA": 9999,
                        "BAND": 2,
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_proximity.py",
                    "-srcband 2 -distunits PIXEL -nodata 9999.0 -ot Float32 -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # with "0" NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "NODATA": 0,
                        "BAND": 1,
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_proximity.py",
                    "-srcband 1 -distunits PIXEL -nodata 0.0 -ot Float32 -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # additional parameters
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "EXTRA": "-dstband 2 -values 3,4,12",
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_proximity.py",
                    "-srcband 1 -distunits PIXEL -ot Float32 -of JPEG -dstband 2 -values 3,4,12 "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source + "|credential:X=Y|credential:Z=A",
                        "BAND": 1,
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_proximity.py",
                    "-srcband 1 -distunits PIXEL -ot Float32 -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg --config X Y --config Z A",
                ],
            )

    def testRasterize(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "polys.gml")
        sourceZ = os.path.join(testDataPath, "pointsz.gml")
        extent4326 = QgsReferencedRectangle(
            QgsRectangle(-1, -3, 10, 6), QgsCoordinateReferenceSystem("EPSG:4326")
        )
        extent3857 = QgsReferencedRectangle(
            QgsRectangle(-111319.491, -334111.171, 1113194.908, 669141.057),
            QgsCoordinateReferenceSystem("EPSG:3857"),
        )
        alg = rasterize()
        alg.initAlgorithm()

        with tempfile.TemporaryDirectory() as outdir:
            # with no NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "FIELD": "id", "OUTPUT": outdir + "/check.jpg"},
                    context,
                    feedback,
                ),
                [
                    "gdal_rasterize",
                    "-l polys2 -a id -ts 0.0 0.0 -ot Float32 -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # with NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "NODATA": 9999,
                        "FIELD": "id",
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_rasterize",
                    "-l polys2 -a id -ts 0.0 0.0 -a_nodata 9999.0 -ot Float32 -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # with "0" INIT value
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "INIT": 0,
                        "FIELD": "id",
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_rasterize",
                    "-l polys2 -a id -ts 0.0 0.0 -init 0.0 -ot Float32 -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # with "0" NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "NODATA": 0,
                        "FIELD": "id",
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_rasterize",
                    "-l polys2 -a id -ts 0.0 0.0 -a_nodata 0.0 -ot Float32 -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "FIELD": "id",
                        "EXTRA": "-at -add",
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_rasterize",
                    "-l polys2 -a id -ts 0.0 0.0 -ot Float32 -of JPEG -at -add "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )

            # use_Z selected with no field
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": sourceZ, "USE_Z": True, "OUTPUT": outdir + "/check.jpg"},
                    context,
                    feedback,
                ),
                [
                    "gdal_rasterize",
                    "-l pointsz -3d -ts 0.0 0.0 -ot Float32 -of JPEG "
                    + sourceZ
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )

            # use_Z selected with field indicated (should prefer use_Z)
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": sourceZ,
                        "FIELD": "elev",
                        "USE_Z": True,
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_rasterize",
                    "-l pointsz -3d -ts 0.0 0.0 -ot Float32 -of JPEG "
                    + sourceZ
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )

            # with EXTENT in the same CRS as the input layer source
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "FIELD": "id",
                        "EXTENT": extent4326,
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_rasterize",
                    "-l polys2 -a id -ts 0.0 0.0 -te -1.0 -3.0 10.0 6.0 -ot Float32 -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # with EXTENT in a different CRS than that of the input layer source
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "FIELD": "id",
                        "EXTENT": extent3857,
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_rasterize",
                    "-l polys2 -a id -ts 0.0 0.0 -te -1.000000001857055 -2.9999999963940835 10.000000000604244 5.99999999960471 -ot Float32 -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )

            if GdalUtils.version() >= 3070000:
                self.assertEqual(
                    alg.getConsoleCommands(
                        {
                            "INPUT": source
                            + "|option:X_POSSIBLE_NAMES=geom_x|option:Y_POSSIBLE_NAMES=geom_y",
                            "FIELD": "id",
                            "OUTPUT": outdir + "/check.jpg",
                        },
                        context,
                        feedback,
                    ),
                    [
                        "gdal_rasterize",
                        "-l polys2 -a id -ts 0.0 0.0 -ot Float32 -of JPEG -oo X_POSSIBLE_NAMES=geom_x -oo Y_POSSIBLE_NAMES=geom_y "
                        + source
                        + " "
                        + outdir
                        + "/check.jpg",
                    ],
                )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source + "|credential:X=Y|credential:Z=A",
                        "FIELD": "id",
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_rasterize",
                    "-l polys2 -a id -ts 0.0 0.0 -ot Float32 -of JPEG --config X Y --config Z A "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )

    def testRasterizeOver(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        raster = os.path.join(testDataPath, "dem.tif")
        vector = os.path.join(testDataPath, "polys.gml")
        alg = rasterize_over()
        alg.initAlgorithm()

        with tempfile.TemporaryDirectory() as outdir:
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": vector, "FIELD": "id", "INPUT_RASTER": raster},
                    context,
                    feedback,
                ),
                ["gdal_rasterize", "-l polys2 -a id " + vector + " " + raster],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": vector,
                        "FIELD": "id",
                        "ADD": True,
                        "INPUT_RASTER": raster,
                    },
                    context,
                    feedback,
                ),
                ["gdal_rasterize", "-l polys2 -a id -add " + vector + " " + raster],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": vector,
                        "FIELD": "id",
                        "EXTRA": "-i",
                        "INPUT_RASTER": raster,
                    },
                    context,
                    feedback,
                ),
                ["gdal_rasterize", "-l polys2 -a id -i " + vector + " " + raster],
            )

            if GdalUtils.version() >= 3070000:
                self.assertEqual(
                    alg.getConsoleCommands(
                        {
                            "INPUT": vector
                            + "|option:X_POSSIBLE_NAMES=geom_x|option:Y_POSSIBLE_NAMES=geom_y",
                            "FIELD": "id",
                            "INPUT_RASTER": raster,
                        },
                        context,
                        feedback,
                    ),
                    [
                        "gdal_rasterize",
                        "-l polys2 -a id -oo X_POSSIBLE_NAMES=geom_x -oo Y_POSSIBLE_NAMES=geom_y "
                        + vector
                        + " "
                        + raster,
                    ],
                )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": vector + "|credential:X=Y|credential:Z=A",
                        "FIELD": "id",
                        "INPUT_RASTER": raster,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_rasterize",
                    "-l polys2 -a id --config X Y --config Z A "
                    + vector
                    + " "
                    + raster,
                ],
            )

    def testRasterizeOverFixed(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        raster = os.path.join(testDataPath, "dem.tif")
        vector = os.path.join(testDataPath, "polys.gml")
        alg = rasterize_over_fixed_value()
        alg.initAlgorithm()

        with tempfile.TemporaryDirectory() as outdir:
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": vector, "BURN": 100, "INPUT_RASTER": raster},
                    context,
                    feedback,
                ),
                ["gdal_rasterize", "-l polys2 -burn 100.0 " + vector + " " + raster],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": vector, "BURN": 100, "ADD": True, "INPUT_RASTER": raster},
                    context,
                    feedback,
                ),
                [
                    "gdal_rasterize",
                    "-l polys2 -burn 100.0 -add " + vector + " " + raster,
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": vector,
                        "BURN": 100,
                        "EXTRA": "-i",
                        "INPUT_RASTER": raster,
                    },
                    context,
                    feedback,
                ),
                ["gdal_rasterize", "-l polys2 -burn 100.0 -i " + vector + " " + raster],
            )

            if GdalUtils.version() >= 3070000:
                self.assertEqual(
                    alg.getConsoleCommands(
                        {
                            "INPUT": vector
                            + "|option:X_POSSIBLE_NAMES=geom_x|option:Y_POSSIBLE_NAMES=geom_y",
                            "BURN": 100,
                            "INPUT_RASTER": raster,
                        },
                        context,
                        feedback,
                    ),
                    [
                        "gdal_rasterize",
                        "-l polys2 -burn 100.0 -oo X_POSSIBLE_NAMES=geom_x -oo Y_POSSIBLE_NAMES=geom_y "
                        + vector
                        + " "
                        + raster,
                    ],
                )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": vector + "|credential:X=Y|credential:Z=A",
                        "BURN": 100,
                        "INPUT_RASTER": raster,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_rasterize",
                    "-l polys2 -burn 100.0 --config X Y --config Z A "
                    + vector
                    + " "
                    + raster,
                ],
            )

    def testRasterizeOverRun(self):
        # Check that rasterize over tools update QgsRasterLayer

        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source_vector = os.path.join(testDataPath, "rasterize_zones.gml")
        source_raster = os.path.join(testDataPath, "dem.tif")

        with tempfile.TemporaryDirectory() as outdir:
            # fixed value
            alg = rasterize_over_fixed_value()
            alg.initAlgorithm()

            test_dem = os.path.join(outdir, "rasterize-fixed.tif")
            shutil.copy(source_raster, test_dem)
            self.assertTrue(os.path.exists(test_dem))

            layer = QgsRasterLayer(test_dem, "test")
            self.assertTrue(layer.isValid())

            val, ok = layer.dataProvider().sample(QgsPointXY(18.68704, 45.79568), 1)
            self.assertEqual(val, 172.2267303466797)

            project = QgsProject()
            project.setFileName(os.path.join(outdir, "rasterize-fixed.qgs"))
            project.addMapLayer(layer)
            self.assertEqual(project.count(), 1)

            context.setProject(project)

            alg.run(
                {"INPUT": source_vector, "INPUT_RASTER": test_dem, "BURN": 200},
                context,
                feedback,
            )

            val, ok = layer.dataProvider().sample(QgsPointXY(18.68704, 45.79568), 1)
            self.assertTrue(ok)
            self.assertEqual(val, 200.0)

            # attribute value
            alg = rasterize_over()
            alg.initAlgorithm()

            test_dem = os.path.join(outdir, "rasterize-over.tif")
            shutil.copy(source_raster, test_dem)
            self.assertTrue(os.path.exists(test_dem))

            layer = QgsRasterLayer(test_dem, "test")
            self.assertTrue(layer.isValid())

            val, ok = layer.dataProvider().sample(QgsPointXY(18.68704, 45.79568), 1)
            self.assertEqual(val, 172.2267303466797)

            project = QgsProject()
            project.setFileName(os.path.join(outdir, "rasterize-over.qgs"))
            project.addMapLayer(layer)
            self.assertEqual(project.count(), 1)

            context.setProject(project)

            alg.run(
                {"INPUT": source_vector, "INPUT_RASTER": test_dem, "FIELD": "value"},
                context,
                feedback,
            )

            val, ok = layer.dataProvider().sample(QgsPointXY(18.68704, 45.79568), 1)
            self.assertTrue(ok)
            self.assertEqual(val, 100.0)

    def testRetile(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "dem.tif")
        alg = retile()
        alg.initAlgorithm()

        with tempfile.TemporaryDirectory() as outdir:
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": [source], "OUTPUT": outdir}, context, feedback
                ),
                [
                    "gdal_retile.py",
                    f"-ps 256 256 -overlap 0 -levels 1 -r near -ot Float32 -targetDir {outdir} "
                    + source,
                ],
            )

            # with input srs
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": [source], "SOURCE_CRS": "EPSG:3111", "OUTPUT": outdir},
                    context,
                    feedback,
                ),
                [
                    "gdal_retile.py",
                    f"-ps 256 256 -overlap 0 -levels 1 -s_srs EPSG:3111 -r near -ot Float32 -targetDir {outdir} {source}",
                ],
            )

            # with target using proj string
            custom_crs = "proj4: +proj=utm +zone=36 +south +a=6378249.145 +b=6356514.966398753 +towgs84=-143,-90,-294,0,0,0,0 +units=m +no_defs"
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": [source], "SOURCE_CRS": custom_crs, "OUTPUT": outdir},
                    context,
                    feedback,
                ),
                [
                    "gdal_retile.py",
                    f"-ps 256 256 -overlap 0 -levels 1 -s_srs EPSG:20936 -r near -ot Float32 -targetDir {outdir} {source}",
                ],
            )

            # with target using custom projection
            custom_crs, expected_crs_string = (
                self.get_param_value_and_expected_string_for_custom_crs(
                    "+proj=utm +zone=36 +south +a=63785 +b=6357 +towgs84=-143,-90,-294,0,0,0,0 +units=m +no_defs"
                )
            )
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": [source], "SOURCE_CRS": custom_crs, "OUTPUT": outdir},
                    context,
                    feedback,
                ),
                [
                    "gdal_retile.py",
                    f'-ps 256 256 -overlap 0 -levels 1 -s_srs "{expected_crs_string}" -r near -ot Float32 -targetDir {outdir} {source}',
                ],
            )

            # with non-EPSG crs code
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": [source], "SOURCE_CRS": "POSTGIS:3111", "OUTPUT": outdir},
                    context,
                    feedback,
                ),
                [
                    "gdal_retile.py",
                    f"-ps 256 256 -overlap 0 -levels 1 -s_srs EPSG:3111 -r near -ot Float32 -targetDir {outdir} {source}",
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": [source],
                        "OUTPUT_CSV": "out.csv",
                        "DELIMITER": "",
                        "OUTPUT": outdir,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_retile.py",
                    f"-ps 256 256 -overlap 0 -levels 1 -r near -ot Float32 -csv out.csv -targetDir {outdir} "
                    + source,
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": [source],
                        "OUTPUT_CSV": "out.csv",
                        "DELIMITER": ";",
                        "OUTPUT": outdir,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_retile.py",
                    f'-ps 256 256 -overlap 0 -levels 1 -r near -ot Float32 -csv out.csv -csvDelim ";" -targetDir {outdir} '
                    + source,
                ],
            )

            # additional parameters
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": [source],
                        "EXTRA": "-v -tileIndex tindex.shp",
                        "OUTPUT": outdir,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_retile.py",
                    f"-ps 256 256 -overlap 0 -levels 1 -r near -ot Float32 -v -tileIndex tindex.shp -targetDir {outdir} "
                    + source,
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": [source], "ONLY_PYRAMIDS": True, "OUTPUT": outdir},
                    context,
                    feedback,
                ),
                [
                    "gdal_retile.py",
                    f"-ps 256 256 -overlap 0 -levels 1 -r near -ot Float32 -pyramidOnly -targetDir {outdir} "
                    + source,
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": [source], "DIR_FOR_ROW": True, "OUTPUT": outdir},
                    context,
                    feedback,
                ),
                [
                    "gdal_retile.py",
                    f"-ps 256 256 -overlap 0 -levels 1 -r near -ot Float32 -useDirForEachRow -targetDir {outdir} "
                    + source,
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": [source + "|credential:X=Y|credential:Z=A"],
                        "DIR_FOR_ROW": True,
                        "OUTPUT": outdir,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_retile.py",
                    f"-ps 256 256 -overlap 0 -levels 1 -r near -ot Float32 -useDirForEachRow -targetDir {outdir} "
                    + source
                    + " --config X Y --config Z A",
                ],
            )

    def testWarp(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "dem.tif")
        alg = warp()
        alg.initAlgorithm()

        with tempfile.TemporaryDirectory() as outdir:
            # with no NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "SOURCE_CRS": "EPSG:3111",
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdalwarp",
                    "-overwrite -s_srs EPSG:3111 -r near -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # with None NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "NODATA": None,
                        "SOURCE_CRS": "EPSG:3111",
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdalwarp",
                    "-overwrite -s_srs EPSG:3111 -r near -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # with NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "NODATA": 9999,
                        "SOURCE_CRS": "EPSG:3111",
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdalwarp",
                    "-overwrite -s_srs EPSG:3111 -dstnodata 9999.0 -r near -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # with "0" NODATA value
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "NODATA": 0,
                        "SOURCE_CRS": "EPSG:3111",
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdalwarp",
                    "-overwrite -s_srs EPSG:3111 -dstnodata 0.0 -r near -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )
            # with "0" NODATA value and custom data type
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "NODATA": 0,
                        "DATA_TYPE": 6,
                        "SOURCE_CRS": "EPSG:3111",
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdalwarp",
                    "-overwrite -s_srs EPSG:3111 -dstnodata 0.0 -r near -ot Float32 -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )

            # with target using EPSG
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "SOURCE_CRS": "EPSG:3111",
                        "TARGET_CRS": "EPSG:4326",
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdalwarp",
                    "-overwrite -s_srs EPSG:3111 -t_srs EPSG:4326 -r near -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )

            # with target using proj string
            custom_crs = "proj4: +proj=utm +zone=36 +south +a=6378249.145 +b=6356514.966398753 +towgs84=-143,-90,-294,0,0,0,0 +units=m +no_defs"
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "SOURCE_CRS": custom_crs,
                        "TARGET_CRS": custom_crs,
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdalwarp",
                    "-overwrite -s_srs EPSG:20936 -t_srs EPSG:20936 -r near -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )

            # with target using custom projection
            custom_crs, expected_crs_string = (
                self.get_param_value_and_expected_string_for_custom_crs(
                    "+proj=utm +zone=36 +south +a=63785 +b=6357 +towgs84=-143,-90,-294,0,0,0,0 +units=m +no_defs"
                )
            )
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "SOURCE_CRS": custom_crs,
                        "TARGET_CRS": custom_crs,
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdalwarp",
                    f'-overwrite -s_srs "{expected_crs_string}" -t_srs "{expected_crs_string}" -r near -of JPEG '
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )

            # with target using custom projection and user-defined extent
            custom_crs2, expected_crs_string2 = (
                self.get_param_value_and_expected_string_for_custom_crs(
                    "+proj=longlat +a=6378388 +b=6356912 +no_defs"
                )
            )
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "SOURCE_CRS": custom_crs2,
                        "TARGET_CRS": custom_crs2,
                        "TARGET_EXTENT": "18.67,18.70,45.78,45.81",
                        "TARGET_EXTENT_CRS": custom_crs2,
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdalwarp",
                    f'-overwrite -s_srs "{expected_crs_string2}" -t_srs "{expected_crs_string2}" -r near -te 18.67 45.78 18.7 45.81 -te_srs "{expected_crs_string2}" -of GTiff '
                    + source
                    + " "
                    + outdir
                    + "/check.tif",
                ],
            )

            # with non-EPSG crs code
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "SOURCE_CRS": "POSTGIS:3111",
                        "TARGET_CRS": "POSTGIS:3111",
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdalwarp",
                    "-overwrite -s_srs EPSG:3111 -t_srs EPSG:3111 -r near -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )

            # with target resolution with None value
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "SOURCE_CRS": "EPSG:3111",
                        "TARGET_RESOLUTION": None,
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdalwarp",
                    "-overwrite -s_srs EPSG:3111 -r near -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )

            # test target resolution with a valid value
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "SOURCE_CRS": "EPSG:3111",
                        "TARGET_RESOLUTION": 10.0,
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdalwarp",
                    "-overwrite -s_srs EPSG:3111 -tr 10.0 10.0 -r near -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )

            # test target resolution with a value of zero, to be ignored
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "SOURCE_CRS": "EPSG:3111",
                        "TARGET_RESOLUTION": 0.0,
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdalwarp",
                    "-overwrite -s_srs EPSG:3111 -r near -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )

            # with additional command-line parameter
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "EXTRA": "-dstalpha",
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdalwarp",
                    "-overwrite -r near -of JPEG -dstalpha "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "EXTRA": "-dstalpha -srcnodata -9999",
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdalwarp",
                    "-overwrite -r near -of JPEG -dstalpha -srcnodata -9999 "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "EXTRA": '-dstalpha -srcnodata "-9999 -8888"',
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdalwarp",
                    '-overwrite -r near -of JPEG -dstalpha -srcnodata "-9999 -8888" '
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "EXTRA": "", "OUTPUT": outdir + "/check.jpg"},
                    context,
                    feedback,
                ),
                [
                    "gdalwarp",
                    "-overwrite -r near -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg",
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source
                        + "|option:X_POSSIBLE_NAMES=geom_x|option:Y_POSSIBLE_NAMES=geom_y",
                        "SOURCE_CRS": "EPSG:3111",
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdalwarp",
                    "-overwrite -s_srs EPSG:3111 -r near -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg -oo X_POSSIBLE_NAMES=geom_x -oo Y_POSSIBLE_NAMES=geom_y",
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source + "|credential:X=Y|credential:Z=A",
                        "SOURCE_CRS": "EPSG:3111",
                        "OUTPUT": outdir + "/check.jpg",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdalwarp",
                    "-overwrite -s_srs EPSG:3111 -r near -of JPEG "
                    + source
                    + " "
                    + outdir
                    + "/check.jpg --config X Y --config Z A",
                ],
            )

    def testMerge(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = [
            os.path.join(testDataPath, "dem1.tif"),
            os.path.join(testDataPath, "dem1.tif"),
        ]
        alg = merge()
        alg.initAlgorithm()

        with tempfile.TemporaryDirectory() as outdir:
            # this algorithm creates temporary text file with input layers
            # so we strip its path, leaving only filename
            cmd = alg.getConsoleCommands(
                {"INPUT": source, "OUTPUT": outdir + "/check.tif"}, context, feedback
            )
            t = cmd[1]
            cmd[1] = t[: t.find("--optfile") + 10] + t[t.find("mergeInputFiles.txt") :]
            self.assertEqual(
                cmd,
                [
                    "gdal_merge.py",
                    "-ot Float32 -of GTiff "
                    + "-o "
                    + outdir
                    + "/check.tif "
                    + "--optfile mergeInputFiles.txt",
                ],
            )
            # separate
            cmd = alg.getConsoleCommands(
                {"INPUT": source, "SEPARATE": True, "OUTPUT": outdir + "/check.tif"},
                context,
                feedback,
            )
            t = cmd[1]
            cmd[1] = t[: t.find("--optfile") + 10] + t[t.find("mergeInputFiles.txt") :]
            self.assertEqual(
                cmd,
                [
                    "gdal_merge.py",
                    "-separate -ot Float32 -of GTiff "
                    + "-o "
                    + outdir
                    + "/check.tif "
                    + "--optfile mergeInputFiles.txt",
                ],
            )

            # assign nodata
            cmd = alg.getConsoleCommands(
                {
                    "INPUT": source,
                    "EXTRA": "-tap -ps 0.1 0.1",
                    "OUTPUT": outdir + "/check.tif",
                },
                context,
                feedback,
            )
            t = cmd[1]
            cmd[1] = t[: t.find("--optfile") + 10] + t[t.find("mergeInputFiles.txt") :]
            self.assertEqual(
                cmd,
                [
                    "gdal_merge.py",
                    "-ot Float32 -of GTiff -tap -ps 0.1 0.1 "
                    + "-o "
                    + outdir
                    + "/check.tif "
                    + "--optfile mergeInputFiles.txt",
                ],
            )

            # additional parameters
            cmd = alg.getConsoleCommands(
                {
                    "INPUT": source,
                    "NODATA_OUTPUT": -9999,
                    "OUTPUT": outdir + "/check.tif",
                },
                context,
                feedback,
            )
            t = cmd[1]
            cmd[1] = t[: t.find("--optfile") + 10] + t[t.find("mergeInputFiles.txt") :]
            self.assertEqual(
                cmd,
                [
                    "gdal_merge.py",
                    "-a_nodata -9999.0 -ot Float32 -of GTiff "
                    + "-o "
                    + outdir
                    + "/check.tif "
                    + "--optfile mergeInputFiles.txt",
                ],
            )

    def testNearblack(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "dem.tif")
        alg = nearblack()
        alg.initAlgorithm()

        with tempfile.TemporaryDirectory() as outdir:
            # defaults
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "OUTPUT": outdir + "/check.tif"},
                    context,
                    feedback,
                ),
                [
                    "nearblack",
                    source + " -of GTiff -o " + outdir + "/check.tif " + "-near 15",
                ],
            )

            # search white pixels
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "WHITE": True, "OUTPUT": outdir + "/check.tif"},
                    context,
                    feedback,
                ),
                [
                    "nearblack",
                    source
                    + " -of GTiff -o "
                    + outdir
                    + "/check.tif "
                    + "-near 15 -white",
                ],
            )

            # additional parameters
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "EXTRA": "-nb 5 -setalpha",
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "nearblack",
                    source
                    + " -of GTiff -o "
                    + outdir
                    + "/check.tif "
                    + "-near 15 -nb 5 -setalpha",
                ],
            )

            # additional parameters and creation options
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "OPTIONS": "COMPRESS=JPEG|JPEG_QUALITY=75",
                        "EXTRA": "-nb 5 -setalpha",
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "nearblack",
                    source
                    + " -of GTiff -o "
                    + outdir
                    + "/check.tif "
                    + "-near 15 -co COMPRESS=JPEG -co JPEG_QUALITY=75 -nb 5 -setalpha",
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source + "|credential:X=Y|credential:Z=A",
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "nearblack",
                    source
                    + " -of GTiff -o "
                    + outdir
                    + "/check.tif "
                    + "-near 15 --config X Y --config Z A",
                ],
            )

    def testRearrangeBands(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "dem.tif")

        with tempfile.TemporaryDirectory() as outdir:
            outsource = outdir + "/check.tif"

            alg = rearrange_bands()
            alg.initAlgorithm()

            # single band
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "BANDS": 1, "OUTPUT": outsource},
                    context,
                    feedback,
                ),
                ["gdal_translate", "-b 1 " + "-of GTiff " + source + " " + outsource],
            )
            # three bands, re-ordered
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "BANDS": [3, 2, 1], "OUTPUT": outsource},
                    context,
                    feedback,
                ),
                [
                    "gdal_translate",
                    "-b 3 -b 2 -b 1 " + "-of GTiff " + source + " " + outsource,
                ],
            )
            # three bands, re-ordered with custom data type
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BANDS": [3, 2, 1],
                        "DATA_TYPE": 6,
                        "OUTPUT": outsource,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_translate",
                    "-b 3 -b 2 -b 1 "
                    + "-ot Float32 -of GTiff "
                    + source
                    + " "
                    + outsource,
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source
                        + "|option:X_POSSIBLE_NAMES=geom_x|option:Y_POSSIBLE_NAMES=geom_y",
                        "BANDS": 1,
                        "OUTPUT": outsource,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_translate",
                    "-b 1 "
                    + "-of GTiff "
                    + source
                    + " "
                    + outsource
                    + " -oo X_POSSIBLE_NAMES=geom_x -oo Y_POSSIBLE_NAMES=geom_y",
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source + "|credential:X=Y|credential:Z=A",
                        "BANDS": 1,
                        "OUTPUT": outsource,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_translate",
                    "-b 1 "
                    + "-of GTiff "
                    + source
                    + " "
                    + outsource
                    + " --config X Y --config Z A",
                ],
            )

    def testFillnodata(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "dem.tif")
        mask = os.path.join(testDataPath, "raster.tif")

        with tempfile.TemporaryDirectory() as outdir:
            outsource = outdir + "/check.tif"
            alg = fillnodata()
            alg.initAlgorithm()

            # with mask value
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "DISTANCE": 10,
                        "ITERATIONS": 0,
                        "MASK_LAYER": mask,
                        "NO_MASK": False,
                        "OUTPUT": outsource,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_fillnodata.py",
                    f"{source} {outsource} -md 10 -b 1 -mask {mask} -of GTiff",
                ],
            )

            # without mask value
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "DISTANCE": 10,
                        "ITERATIONS": 0,
                        "NO_MASK": False,
                        "OUTPUT": outsource,
                    },
                    context,
                    feedback,
                ),
                ["gdal_fillnodata.py", f"{source} {outsource} -md 10 -b 1 -of GTiff"],
            )

            # The -nomask option is no longer supported since GDAL 3.4 and
            # it doesn't work as expected even using GDAL < 3.4 https://github.com/OSGeo/gdal/pull/4201
            # Silently ignore the NO_MASK parameter
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "DISTANCE": 10,
                        "ITERATIONS": 0,
                        "NO_MASK": True,
                        "OUTPUT": outsource,
                    },
                    context,
                    feedback,
                ),
                ["gdal_fillnodata.py", f"{source} {outsource} -md 10 -b 1 -of GTiff"],
            )

            # creation options
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "OPTIONS": "COMPRESS=JPEG|JPEG_QUALITY=75",
                        "OUTPUT": outsource,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_fillnodata.py",
                    f"{source} {outsource} -md 10 -b 1 -of GTiff -co COMPRESS=JPEG -co JPEG_QUALITY=75",
                ],
            )

            # additional parameters
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "BAND": 1, "EXTRA": "-q", "OUTPUT": outsource},
                    context,
                    feedback,
                ),
                [
                    "gdal_fillnodata.py",
                    f"{source} {outsource} -md 10 -b 1 -of GTiff -q",
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source + "|credential:X=Y|credential:Z=A",
                        "BAND": 1,
                        "DISTANCE": 10,
                        "ITERATIONS": 0,
                        "MASK_LAYER": mask,
                        "NO_MASK": False,
                        "OUTPUT": outsource,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_fillnodata.py",
                    f"{source} {outsource} -md 10 -b 1 -mask {mask} -of GTiff --config X Y --config Z A",
                ],
            )

    def testGdalAddo(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "dem.tif")

        with tempfile.TemporaryDirectory() as outdir:
            alg = gdaladdo()
            alg.initAlgorithm()

            # defaults
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "LEVELS": "2 4 8 16",
                        "CLEAN": False,
                        "RESAMPLING": 0,
                        "FORMAT": 0,
                    },
                    context,
                    feedback,
                ),
                ["gdaladdo", source + " " + "-r nearest 2 4 8 16"],
            )

            # with "clean" option
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "LEVELS": "2 4 8 16",
                        "CLEAN": True,
                        "RESAMPLING": 0,
                        "FORMAT": 0,
                    },
                    context,
                    feedback,
                ),
                ["gdaladdo", source + " " + "-r nearest -clean 2 4 8 16"],
            )

            # ovr format
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "LEVELS": "2 4 8 16",
                        "CLEAN": False,
                        "RESAMPLING": 0,
                        "FORMAT": 1,
                    },
                    context,
                    feedback,
                ),
                ["gdaladdo", source + " " + "-r nearest -ro 2 4 8 16"],
            )

            # Erdas format
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "LEVELS": "2 4 8 16",
                        "CLEAN": False,
                        "RESAMPLING": 0,
                        "FORMAT": 2,
                    },
                    context,
                    feedback,
                ),
                ["gdaladdo", source + " " + "-r nearest --config USE_RRD YES 2 4 8 16"],
            )

            # custom resampling method format
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "LEVELS": "2 4 8 16",
                        "CLEAN": False,
                        "RESAMPLING": 4,
                        "FORMAT": 0,
                    },
                    context,
                    feedback,
                ),
                ["gdaladdo", source + " " + "-r cubicspline 2 4 8 16"],
            )

            # more levels
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "LEVELS": "2 4 8 16 32 64",
                        "CLEAN": False,
                        "RESAMPLING": 0,
                        "FORMAT": 0,
                    },
                    context,
                    feedback,
                ),
                ["gdaladdo", source + " " + "-r nearest 2 4 8 16 32 64"],
            )

            # additional parameters
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "LEVELS": "2 4 8 16",
                        "CLEAN": False,
                        "EXTRA": "--config COMPRESS_OVERVIEW JPEG",
                    },
                    context,
                    feedback,
                ),
                ["gdaladdo", source + " " + "--config COMPRESS_OVERVIEW JPEG 2 4 8 16"],
            )

            if GdalUtils.version() >= 230000:
                # without levels
                self.assertEqual(
                    alg.getConsoleCommands(
                        {"INPUT": source, "CLEAN": False}, context, feedback
                    ),
                    ["gdaladdo", source],
                )

            # without advanced params
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "LEVELS": "2 4 8 16", "CLEAN": False},
                    context,
                    feedback,
                ),
                ["gdaladdo", source + " " + "2 4 8 16"],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source + "|credential:X=Y|credential:Z=A",
                        "LEVELS": "2 4 8 16",
                        "CLEAN": False,
                        "RESAMPLING": 0,
                        "FORMAT": 0,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaladdo",
                    source + " " + "-r nearest 2 4 8 16 --config X Y --config Z A",
                ],
            )

    def testSieve(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "dem.tif")
        mask = os.path.join(testDataPath, "raster.tif")

        with tempfile.TemporaryDirectory() as outdir:
            outsource = outdir + "/check.tif"
            alg = sieve()
            alg.initAlgorithm()

            # defaults
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "OUTPUT": outsource}, context, feedback
                ),
                ["gdal_sieve.py", "-st 10 -4 -of GTiff " + source + " " + outsource],
            )

            # Eight connectedness and custom threshold
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "THRESHOLD": 16,
                        "EIGHT_CONNECTEDNESS": True,
                        "OUTPUT": outsource,
                    },
                    context,
                    feedback,
                ),
                ["gdal_sieve.py", "-st 16 -8 -of GTiff " + source + " " + outsource],
            )

            # without default mask layer
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "NO_MASK": True, "OUTPUT": outsource},
                    context,
                    feedback,
                ),
                [
                    "gdal_sieve.py",
                    "-st 10 -4 -nomask -of GTiff " + source + " " + outsource,
                ],
            )

            # defaults with external validity mask
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "MASK_LAYER": mask, "OUTPUT": outsource},
                    context,
                    feedback,
                ),
                [
                    "gdal_sieve.py",
                    "-st 10 -4 -mask "
                    + mask
                    + " -of GTiff "
                    + source
                    + " "
                    + outsource,
                ],
            )

            # additional parameters
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "EXTRA": "-q", "OUTPUT": outsource},
                    context,
                    feedback,
                ),
                ["gdal_sieve.py", "-st 10 -4 -of GTiff -q " + source + " " + outsource],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source + "|credential:X=Y|credential:Z=A",
                        "OUTPUT": outsource,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_sieve.py",
                    "-st 10 -4 -of GTiff "
                    + source
                    + " "
                    + outsource
                    + " --config X Y --config Z A",
                ],
            )

    def testGdal2Xyz(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "dem.tif")

        with tempfile.TemporaryDirectory() as outdir:
            outsource = outdir + "/check.csv"
            alg = gdal2xyz()
            alg.initAlgorithm()

            # defaults
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "BAND": 1, "CSV": False, "OUTPUT": outsource},
                    context,
                    feedback,
                ),
                ["gdal2xyz.py", "-band 1 " + source + " " + outsource],
            )

            # csv output
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "BAND": 1, "CSV": True, "OUTPUT": outsource},
                    context,
                    feedback,
                ),
                ["gdal2xyz.py", "-band 1 -csv " + source + " " + outsource],
            )

            if GdalUtils.version() >= 3030000:
                # skip nodata output
                self.assertEqual(
                    alg.getConsoleCommands(
                        {
                            "INPUT": source,
                            "BAND": 1,
                            "CSV": False,
                            "SKIP_NODATA": True,
                            "OUTPUT": outsource,
                        },
                        context,
                        feedback,
                    ),
                    ["gdal2xyz.py", "-band 1 -skipnodata " + source + " " + outsource],
                )

            if GdalUtils.version() > 3060300:
                # srcnodata output
                self.assertEqual(
                    alg.getConsoleCommands(
                        {
                            "INPUT": source,
                            "BAND": 1,
                            "CSV": False,
                            "NODATA_INPUT": -999,
                            "SKIP_NODATA": False,
                            "OUTPUT": outsource,
                        },
                        context,
                        feedback,
                    ),
                    [
                        "gdal2xyz.py",
                        "-band 1 -srcnodata -999.0 " + source + " " + outsource,
                    ],
                )

                # dstnodata output
                self.assertEqual(
                    alg.getConsoleCommands(
                        {
                            "INPUT": source,
                            "BAND": 1,
                            "CSV": False,
                            "NODATA_OUTPUT": -999,
                            "SKIP_NODATA": False,
                            "OUTPUT": outsource,
                        },
                        context,
                        feedback,
                    ),
                    [
                        "gdal2xyz.py",
                        "-band 1 -dstnodata -999.0 " + source + " " + outsource,
                    ],
                )

                self.assertEqual(
                    alg.getConsoleCommands(
                        {
                            "INPUT": source + "|credential:X=Y|credential:Z=A",
                            "BAND": 1,
                            "CSV": False,
                            "OUTPUT": outsource,
                        },
                        context,
                        feedback,
                    ),
                    [
                        "gdal2xyz.py",
                        "-band 1 "
                        + source
                        + " "
                        + outsource
                        + " --config X Y --config Z A",
                    ],
                )

    def testGdalPolygonize(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "dem.tif")

        with tempfile.TemporaryDirectory() as outdir:
            outsource = outdir + "/check.shp"
            alg = polygonize()
            alg.initAlgorithm()

            # defaults
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "FIELD": "DN",
                        "EIGHT_CONNECTEDNESS": False,
                        "OUTPUT": outsource,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_polygonize.py",
                    source
                    + " "
                    + '-b 1 -f "ESRI Shapefile"'
                    + " "
                    + outsource
                    + " "
                    + "check DN",
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "FIELD": "VAL",
                        "EIGHT_CONNECTEDNESS": False,
                        "OUTPUT": outsource,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_polygonize.py",
                    source
                    + " "
                    + '-b 1 -f "ESRI Shapefile"'
                    + " "
                    + outsource
                    + " "
                    + "check VAL",
                ],
            )

            # 8 connectedness
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "FIELD": "DN",
                        "EIGHT_CONNECTEDNESS": True,
                        "OUTPUT": outsource,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_polygonize.py",
                    "-8"
                    + " "
                    + source
                    + " "
                    + '-b 1 -f "ESRI Shapefile"'
                    + " "
                    + outsource
                    + " "
                    + "check DN",
                ],
            )

            # custom output format
            outsource = outdir + "/check.gpkg"
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "FIELD": "DN",
                        "EIGHT_CONNECTEDNESS": False,
                        "OUTPUT": outsource,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_polygonize.py",
                    source
                    + " "
                    + '-b 1 -f "GPKG"'
                    + " "
                    + outsource
                    + " "
                    + "check DN",
                ],
            )

            # additional parameters
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "BAND": 1,
                        "FIELD": "DN",
                        "EXTRA": "-nomask -q",
                        "OUTPUT": outsource,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_polygonize.py",
                    "-nomask -q"
                    + " "
                    + source
                    + " "
                    + '-b 1 -f "GPKG"'
                    + " "
                    + outsource
                    + " "
                    + "check DN",
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source + "|credential:X=Y|credential:Z=A",
                        "BAND": 1,
                        "FIELD": "DN",
                        "EIGHT_CONNECTEDNESS": False,
                        "OUTPUT": outsource,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_polygonize.py",
                    source
                    + " "
                    + '-b 1 -f "GPKG"'
                    + " "
                    + outsource
                    + " "
                    + "check DN --config X Y --config Z A",
                ],
            )

    def testGdalPansharpen(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        panchrom = os.path.join(testDataPath, "dem.tif")
        spectral = os.path.join(testDataPath, "raster.tif")

        with tempfile.TemporaryDirectory() as outdir:
            outsource = outdir + "/out.tif"
            alg = pansharp()
            alg.initAlgorithm()

            # defaults
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "SPECTRAL": spectral,
                        "PANCHROMATIC": panchrom,
                        "OUTPUT": outsource,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_pansharpen.py",
                    panchrom
                    + " "
                    + spectral
                    + " "
                    + outsource
                    + " "
                    + "-r cubic -of GTiff",
                ],
            )

            # custom resampling
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "SPECTRAL": spectral,
                        "PANCHROMATIC": panchrom,
                        "RESAMPLING": 4,
                        "OUTPUT": outsource,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_pansharpen.py",
                    panchrom
                    + " "
                    + spectral
                    + " "
                    + outsource
                    + " "
                    + "-r lanczos -of GTiff",
                ],
            )

            # additional parameters
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "SPECTRAL": spectral,
                        "PANCHROMATIC": panchrom,
                        "EXTRA": "-bitdepth 12 -threads ALL_CPUS",
                        "OUTPUT": outsource,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_pansharpen.py",
                    panchrom
                    + " "
                    + spectral
                    + " "
                    + outsource
                    + " "
                    + "-r cubic -of GTiff -bitdepth 12 -threads ALL_CPUS",
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "SPECTRAL": spectral,
                        "PANCHROMATIC": panchrom + "|credential:X=Y|credential:Z=A",
                        "OUTPUT": outsource,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_pansharpen.py",
                    panchrom
                    + " "
                    + spectral
                    + " "
                    + outsource
                    + " "
                    + "-r cubic -of GTiff --config X Y --config Z A",
                ],
            )

    def testGdalViewshed(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        dem = os.path.join(testDataPath, "dem.tif")

        with tempfile.TemporaryDirectory() as outdir:
            outsource = outdir + "/out.tif"
            alg = viewshed()
            alg.initAlgorithm()

            # defaults
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": dem,
                        "BAND": 1,
                        "OBSERVER": "18.67274,45.80599",
                        "OUTPUT": outsource,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_viewshed",
                    "-b 1 -ox 18.67274 -oy 45.80599 -oz 1.0 -tz 1.0 -md 100.0 -f GTiff "
                    + dem
                    + " "
                    + outsource,
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": dem,
                        "BAND": 2,
                        "OBSERVER": "18.67274,45.80599",
                        "OBSERVER_HEIGHT": 1.8,
                        "TARGET_HEIGHT": 20,
                        "MAX_DISTANCE": 1000,
                        "OUTPUT": outsource,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_viewshed",
                    "-b 2 -ox 18.67274 -oy 45.80599 -oz 1.8 -tz 20.0 -md 1000.0 -f GTiff "
                    + dem
                    + " "
                    + outsource,
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": dem,
                        "BAND": 1,
                        "OBSERVER": "18.67274,45.80599",
                        "EXTRA": "-a_nodata=-9999 -cc 0.2",
                        "OUTPUT": outsource,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_viewshed",
                    "-b 1 -ox 18.67274 -oy 45.80599 -oz 1.0 -tz 1.0 -md 100.0 -f GTiff "
                    + "-a_nodata=-9999 -cc 0.2 "
                    + dem
                    + " "
                    + outsource,
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": dem,
                        "BAND": 1,
                        "OBSERVER": "18.67274,45.80599",
                        "OPTIONS": "COMPRESS=DEFLATE|PREDICTOR=2|ZLEVEL=9",
                        "OUTPUT": outsource,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_viewshed",
                    "-b 1 -ox 18.67274 -oy 45.80599 -oz 1.0 -tz 1.0 -md 100.0 -f GTiff "
                    + "-co COMPRESS=DEFLATE -co PREDICTOR=2 -co ZLEVEL=9 "
                    + dem
                    + " "
                    + outsource,
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": dem + "|credential:X=Y|credential:Z=A",
                        "BAND": 1,
                        "OBSERVER": "18.67274,45.80599",
                        "OUTPUT": outsource,
                    },
                    context,
                    feedback,
                ),
                [
                    "gdal_viewshed",
                    "-b 1 -ox 18.67274 -oy 45.80599 -oz 1.0 -tz 1.0 -md 100.0 -f GTiff "
                    + dem
                    + " "
                    + outsource
                    + " --config X Y --config Z A",
                ],
            )

    def testBuildVrt(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "dem.tif")
        alg = buildvrt()
        alg.initAlgorithm()

        with tempfile.TemporaryDirectory() as outdir:
            # defaults
            cmd = alg.getConsoleCommands(
                {"INPUT": [source], "OUTPUT": outdir + "/check.vrt"}, context, feedback
            )
            t = cmd[1]
            cmd[1] = (
                t[: t.find("-input_file_list") + 17]
                + t[t.find("buildvrtInputFiles.txt") :]
            )
            self.assertEqual(
                cmd,
                [
                    "gdalbuildvrt",
                    "-overwrite -resolution average -separate -r nearest "
                    + "-input_file_list buildvrtInputFiles.txt "
                    + outdir
                    + "/check.vrt",
                ],
            )
            # custom resolution
            cmd = alg.getConsoleCommands(
                {"INPUT": [source], "RESOLUTION": 2, "OUTPUT": outdir + "/check.vrt"},
                context,
                feedback,
            )
            t = cmd[1]
            cmd[1] = (
                t[: t.find("-input_file_list") + 17]
                + t[t.find("buildvrtInputFiles.txt") :]
            )
            self.assertEqual(
                cmd,
                [
                    "gdalbuildvrt",
                    "-overwrite -resolution lowest -separate -r nearest "
                    + "-input_file_list buildvrtInputFiles.txt "
                    + outdir
                    + "/check.vrt",
                ],
            )
            # single layer
            cmd = alg.getConsoleCommands(
                {"INPUT": [source], "SEPARATE": False, "OUTPUT": outdir + "/check.vrt"},
                context,
                feedback,
            )
            t = cmd[1]
            cmd[1] = (
                t[: t.find("-input_file_list") + 17]
                + t[t.find("buildvrtInputFiles.txt") :]
            )
            self.assertEqual(
                cmd,
                [
                    "gdalbuildvrt",
                    "-overwrite -resolution average -r nearest "
                    + "-input_file_list buildvrtInputFiles.txt "
                    + outdir
                    + "/check.vrt",
                ],
            )
            # projection difference
            cmd = alg.getConsoleCommands(
                {
                    "INPUT": [source],
                    "PROJ_DIFFERENCE": True,
                    "OUTPUT": outdir + "/check.vrt",
                },
                context,
                feedback,
            )
            t = cmd[1]
            cmd[1] = (
                t[: t.find("-input_file_list") + 17]
                + t[t.find("buildvrtInputFiles.txt") :]
            )
            self.assertEqual(
                cmd,
                [
                    "gdalbuildvrt",
                    "-overwrite -resolution average -separate -allow_projection_difference -r nearest "
                    + "-input_file_list buildvrtInputFiles.txt "
                    + outdir
                    + "/check.vrt",
                ],
            )
            # add alpha band
            cmd = alg.getConsoleCommands(
                {"INPUT": [source], "ADD_ALPHA": True, "OUTPUT": outdir + "/check.vrt"},
                context,
                feedback,
            )
            t = cmd[1]
            cmd[1] = (
                t[: t.find("-input_file_list") + 17]
                + t[t.find("buildvrtInputFiles.txt") :]
            )
            self.assertEqual(
                cmd,
                [
                    "gdalbuildvrt",
                    "-overwrite -resolution average -separate -addalpha -r nearest "
                    + "-input_file_list buildvrtInputFiles.txt "
                    + outdir
                    + "/check.vrt",
                ],
            )
            # assign CRS
            cmd = alg.getConsoleCommands(
                {
                    "INPUT": [source],
                    "ASSIGN_CRS": "EPSG:3111",
                    "OUTPUT": outdir + "/check.vrt",
                },
                context,
                feedback,
            )
            t = cmd[1]
            cmd[1] = (
                t[: t.find("-input_file_list") + 17]
                + t[t.find("buildvrtInputFiles.txt") :]
            )
            self.assertEqual(
                cmd,
                [
                    "gdalbuildvrt",
                    "-overwrite -resolution average -separate -a_srs EPSG:3111 -r nearest "
                    + "-input_file_list buildvrtInputFiles.txt "
                    + outdir
                    + "/check.vrt",
                ],
            )

            custom_crs = "proj4: +proj=utm +zone=36 +south +a=6378249.145 +b=6356514.966398753 +towgs84=-143,-90,-294,0,0,0,0 +units=m +no_defs"
            cmd = alg.getConsoleCommands(
                {
                    "INPUT": [source],
                    "ASSIGN_CRS": custom_crs,
                    "OUTPUT": outdir + "/check.vrt",
                },
                context,
                feedback,
            )
            t = cmd[1]
            cmd[1] = (
                t[: t.find("-input_file_list") + 17]
                + t[t.find("buildvrtInputFiles.txt") :]
            )
            self.assertEqual(
                cmd,
                [
                    "gdalbuildvrt",
                    "-overwrite -resolution average -separate -a_srs EPSG:20936 -r nearest "
                    + "-input_file_list buildvrtInputFiles.txt "
                    + outdir
                    + "/check.vrt",
                ],
            )
            # source NODATA
            cmd = alg.getConsoleCommands(
                {
                    "INPUT": [source],
                    "SRC_NODATA": "-9999",
                    "OUTPUT": outdir + "/check.vrt",
                },
                context,
                feedback,
            )
            t = cmd[1]
            cmd[1] = (
                t[: t.find("-input_file_list") + 17]
                + t[t.find("buildvrtInputFiles.txt") :]
            )
            self.assertEqual(
                cmd,
                [
                    "gdalbuildvrt",
                    "-overwrite -resolution average -separate -r nearest -srcnodata -9999 "
                    + "-input_file_list buildvrtInputFiles.txt "
                    + outdir
                    + "/check.vrt",
                ],
            )

            cmd = alg.getConsoleCommands(
                {
                    "INPUT": [source],
                    "SRC_NODATA": "-9999 9999",
                    "OUTPUT": outdir + "/check.vrt",
                },
                context,
                feedback,
            )
            t = cmd[1]
            cmd[1] = (
                t[: t.find("-input_file_list") + 17]
                + t[t.find("buildvrtInputFiles.txt") :]
            )
            self.assertEqual(
                cmd,
                [
                    "gdalbuildvrt",
                    '-overwrite -resolution average -separate -r nearest -srcnodata "-9999 9999" '
                    + "-input_file_list buildvrtInputFiles.txt "
                    + outdir
                    + "/check.vrt",
                ],
            )

            cmd = alg.getConsoleCommands(
                {"INPUT": [source], "SRC_NODATA": "", "OUTPUT": outdir + "/check.vrt"},
                context,
                feedback,
            )
            t = cmd[1]
            cmd[1] = (
                t[: t.find("-input_file_list") + 17]
                + t[t.find("buildvrtInputFiles.txt") :]
            )
            self.assertEqual(
                cmd,
                [
                    "gdalbuildvrt",
                    "-overwrite -resolution average -separate -r nearest "
                    + "-input_file_list buildvrtInputFiles.txt "
                    + outdir
                    + "/check.vrt",
                ],
            )
            # additional parameters
            cmd = alg.getConsoleCommands(
                {
                    "INPUT": [source],
                    "EXTRA": "-overwrite -optim RASTER -vrtnodata -9999",
                    "OUTPUT": outdir + "/check.vrt",
                },
                context,
                feedback,
            )
            t = cmd[1]
            cmd[1] = (
                t[: t.find("-input_file_list") + 17]
                + t[t.find("buildvrtInputFiles.txt") :]
            )
            self.assertEqual(
                cmd,
                [
                    "gdalbuildvrt",
                    "-overwrite -resolution average -separate -r nearest -overwrite -optim RASTER -vrtnodata -9999 "
                    + "-input_file_list buildvrtInputFiles.txt "
                    + outdir
                    + "/check.vrt",
                ],
            )

    def testPct2Rgb(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "dem.tif")
        alg = pct2rgb()
        alg.initAlgorithm()

        with tempfile.TemporaryDirectory() as outdir:
            # defaults
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "OUTPUT": outdir + "/check.tif"},
                    context,
                    feedback,
                ),
                [
                    "pct2rgb.py",
                    source + " " + outdir + "/check.tif " + "-of GTiff -b 1",
                ],
            )

            # set band
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "BAND": 3, "OUTPUT": outdir + "/check.tif"},
                    context,
                    feedback,
                ),
                [
                    "pct2rgb.py",
                    source + " " + outdir + "/check.tif " + "-of GTiff -b 3",
                ],
            )

            # set RGBA
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "RGBA": True, "OUTPUT": outdir + "/check.tif"},
                    context,
                    feedback,
                ),
                [
                    "pct2rgb.py",
                    source + " " + outdir + "/check.tif " + "-of GTiff -b 1 -rgba",
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source + "|credential:X=Y|credential:Z=A",
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "pct2rgb.py",
                    source
                    + " "
                    + outdir
                    + "/check.tif "
                    + "-of GTiff -b 1 --config X Y --config Z A",
                ],
            )

    def testRgb2Pct(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "dem.tif")
        alg = rgb2pct()
        alg.initAlgorithm()

        with tempfile.TemporaryDirectory() as outdir:
            # defaults
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "OUTPUT": outdir + "/check.tif"},
                    context,
                    feedback,
                ),
                [
                    "rgb2pct.py",
                    "-n 2 -of GTiff " + source + " " + outdir + "/check.tif",
                ],
            )

            # set number of colors
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "NCOLORS": 8, "OUTPUT": outdir + "/check.tif"},
                    context,
                    feedback,
                ),
                [
                    "rgb2pct.py",
                    "-n 8 -of GTiff " + source + " " + outdir + "/check.tif",
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source + "|credential:X=Y|credential:Z=A",
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "rgb2pct.py",
                    "-n 2 -of GTiff "
                    + source
                    + " "
                    + outdir
                    + "/check.tif --config X Y --config Z A",
                ],
            )

    def testRoughness(self):
        context = QgsProcessingContext()
        feedback = QgsProcessingFeedback()
        source = os.path.join(testDataPath, "dem.tif")
        alg = roughness()
        alg.initAlgorithm()

        with tempfile.TemporaryDirectory() as outdir:
            # defaults
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "OUTPUT": outdir + "/check.tif"},
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "roughness "
                    + source
                    + " "
                    + outdir
                    + "/check.tif "
                    + "-of GTiff -b 1",
                ],
            )

            # set band
            self.assertEqual(
                alg.getConsoleCommands(
                    {"INPUT": source, "BAND": 3, "OUTPUT": outdir + "/check.tif"},
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "roughness "
                    + source
                    + " "
                    + outdir
                    + "/check.tif "
                    + "-of GTiff -b 3",
                ],
            )

            # compute edges
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "COMPUTE_EDGES": True,
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "roughness "
                    + source
                    + " "
                    + outdir
                    + "/check.tif "
                    + "-of GTiff -b 1 -compute_edges",
                ],
            )

            # creation options
            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source,
                        "OPTIONS": "COMPRESS=DEFLATE|PREDICTOR=2|ZLEVEL=9",
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "roughness "
                    + source
                    + " "
                    + outdir
                    + "/check.tif "
                    + "-of GTiff -b 1 -co COMPRESS=DEFLATE -co PREDICTOR=2 -co ZLEVEL=9",
                ],
            )

            self.assertEqual(
                alg.getConsoleCommands(
                    {
                        "INPUT": source + "|credential:X=Y|credential:Z=A",
                        "OUTPUT": outdir + "/check.tif",
                    },
                    context,
                    feedback,
                ),
                [
                    "gdaldem",
                    "roughness "
                    + source
                    + " "
                    + outdir
                    + "/check.tif "
                    + "-of GTiff -b 1 --config X Y --config Z A",
                ],
            )


if __name__ == "__main__":
    nose2.main()
