# This Python module is part of the PyRate software package. # # Copyright 2020 Geoscience Australia # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """ This Python module contains tests that compare system vs python prepifg methods. """ import shutil import pytest from pathlib import Path import numpy as np import pyrate.configuration import pyrate.constants as C from pyrate import conv2tif, prepifg from pyrate.configuration import Configuration from tests.common import ( assert_two_dirs_equal, manipulate_test_conf, GITHUB_ACTIONS, PY37GDAL302 ) @pytest.fixture(params=[1, 2, 3, 4]) def local_crop(request): return request.param @pytest.fixture() def modified_config_short(tempdir, local_crop, get_lks, coh_mask): orbfit_lks = 1 orbfit_method = 1 orbfit_degrees = 1 ref_est_method = 1 def modify_params(conf_file, parallel, output_conf_file): tdir = Path(tempdir()) params = manipulate_test_conf(conf_file, tdir) params[C.COH_MASK] = coh_mask params[C.PARALLEL] = parallel params[C.PROCESSES] = 4 params[C.APSEST] = 1 params[C.IFG_LKSX], params[C.IFG_LKSY] = get_lks, get_lks params[C.REFNX], params[C.REFNY] = 4, 4 params[C.IFG_CROP_OPT] = local_crop params[C.ORBITAL_FIT_LOOKS_X], params[ C.ORBITAL_FIT_LOOKS_Y] = orbfit_lks, orbfit_lks params[C.ORBITAL_FIT] = 1 params[C.ORBITAL_FIT_METHOD] = orbfit_method params[C.ORBITAL_FIT_DEGREE] = orbfit_degrees params[C.REF_EST_METHOD] = ref_est_method params["rows"], params["cols"] = 3, 2 params["notiles"] = params["rows"] * params["cols"] # number of tiles print(params) # write new temp config output_conf = tdir.joinpath(output_conf_file) pyrate.configuration.write_config_file(params=params, output_conf_file=output_conf) return output_conf, params return modify_params @pytest.fixture def create_mpi_files(modified_config_short): def _create(conf): mpi_conf, params = modified_config_short(conf, 0, 'mpi_conf.conf') params = Configuration(mpi_conf).__dict__ conv2tif.main(params) params = Configuration(mpi_conf).__dict__ prepifg.main(params) return params # don't need the reamining params return _create @pytest.fixture() def modified_config_largetifs(tempdir, local_crop, get_lks, coh_mask): orbfit_lks = 1 orbfit_method = 1 orbfit_degrees = 1 ref_est_method = 1 def modify_params(conf_file, parallel, output_conf_file): tdir = Path(tempdir()) params = manipulate_test_conf(conf_file, tdir) params[C.COH_MASK] = coh_mask params[C.LARGE_TIFS] = 1 params[C.PARALLEL] = parallel params[C.PROCESSES] = 4 params[C.APSEST] = 1 params[C.IFG_LKSX], params[C.IFG_LKSY] = get_lks, get_lks params[C.REFNX], params[C.REFNY] = 4, 4 params[C.IFG_CROP_OPT] = local_crop params[C.ORBITAL_FIT_LOOKS_X], params[ C.ORBITAL_FIT_LOOKS_Y] = orbfit_lks, orbfit_lks params[C.ORBITAL_FIT] = 1 params[C.ORBITAL_FIT_METHOD] = orbfit_method params[C.ORBITAL_FIT_DEGREE] = orbfit_degrees params[C.REF_EST_METHOD] = ref_est_method params["rows"], params["cols"] = 3, 2 params["notiles"] = params["rows"] * params["cols"] # number of tiles print(params) # write new temp config output_conf = tdir.joinpath(output_conf_file) pyrate.configuration.write_config_file(params=params, output_conf_file=output_conf) return output_conf, params return modify_params @pytest.mark.mpi @pytest.mark.slow @pytest.mark.skipif(not PY37GDAL302, reason="Only run in one CI env") def test_prepifg_largetifs_vs_python(modified_config_largetifs, gamma_conf, create_mpi_files): print("\n\n") print("===x==="*10) if GITHUB_ACTIONS and np.random.randint(0, 1000) > 899: # skip 90% of tests randomly pytest.skip("Randomly skipping as part of 50 percent") params = create_mpi_files(gamma_conf) sr_conf, params_p = modified_config_largetifs(gamma_conf, 1, 'parallel_conf.conf') params_p = Configuration(sr_conf).__dict__ conv2tif.main(params_p) params_p = Configuration(sr_conf).__dict__ prepifg.main(params_p) params_p = Configuration(sr_conf).__dict__ # convert2tif tests, 17 interferograms assert_two_dirs_equal(params[C.INTERFEROGRAM_DIR], params_p[C.INTERFEROGRAM_DIR], "*_unw.tif", 17) # if coherence masking, compare coh files were converted if params[C.COH_FILE_LIST] is not None: assert_two_dirs_equal(params[C.COHERENCE_DIR], params_p[C.COHERENCE_DIR], "*_cc.tif", 17) # 17 ifgs + 1 dem + 17 mlooked file assert_two_dirs_equal(params[C.COHERENCE_DIR], params_p[C.COHERENCE_DIR], "*_coh.tif", 17) assert_two_dirs_equal(params[C.COHERENCE_DIR], params_p[C.COHERENCE_DIR], ["coh_*.tif"], 3) assert_two_dirs_equal(params[C.GEOMETRY_DIR], params_p[C.GEOMETRY_DIR], "*_dem.tif", 1) assert_two_dirs_equal(params[C.GEOMETRY_DIR], params_p[C.GEOMETRY_DIR], [t + '.tif' for t in C.GEOMETRY_OUTPUT_TYPES], 6) # prepifg # 17 ifgs + 1 dem assert_two_dirs_equal(params[C.INTERFEROGRAM_DIR], params_p[C.INTERFEROGRAM_DIR], "*_ifg.tif", 17) assert_two_dirs_equal(params[C.GEOMETRY_DIR], params_p[C.GEOMETRY_DIR], "dem.tif", 1) print("==========================xxx===========================") shutil.rmtree(params[C.OUT_DIR]) shutil.rmtree(params_p[C.OUT_DIR])