def _get_coverage(self): """ Returns the coverage to be used for the importer """ gdal_dataset = GDALGmlUtil.open_gdal_dataset_from_any_file(self.session.get_files()) crs = gdal_dataset.get_crs() general_recipe = GeneralRecipe(self.session) global_metadata_fields = general_recipe._global_metadata_fields() local_metadata_fields = general_recipe._local_metadata_fields() sentence_evaluator = SentenceEvaluator(ExpressionEvaluatorFactory()) gdal_coverage_converter = GdalToCoverageConverter(self.resumer, self.session.get_default_null_values(), self.recipe_type, sentence_evaluator, self.session.get_coverage_id(), None, self.session.get_files(), crs, None, None, global_metadata_fields, local_metadata_fields, None, None, general_recipe._metadata_type(), None, None) coverage_slices = self._get_coverage_slices(crs, gdal_coverage_converter) fields = GdalRangeFieldsGenerator(gdal_dataset, self.options['band_names']).get_range_fields() global_metadata = None if len(coverage_slices) > 0: global_metadata = gdal_coverage_converter._generate_global_metadata(coverage_slices[0], self.evaluator_slice) coverage = Coverage(self.session.get_coverage_id(), coverage_slices, fields, gdal_dataset.get_crs(), gdal_dataset.get_band_gdal_type(), self.options['tiling'], global_metadata) return coverage
def _get_coverages(self): """ Returns the list of coverages to be used for the importer """ gdal_dataset = GDALGmlUtil.open_gdal_dataset_from_any_file( self.session.get_files()) crs = CRSUtil.get_compound_crs( [self.options['time_crs'], gdal_dataset.get_crs()]) general_recipe = GeneralRecipe(self.session) global_metadata_fields = general_recipe._global_metadata_fields() local_metadata_fields = general_recipe._local_metadata_fields() sentence_evaluator = SentenceEvaluator(ExpressionEvaluatorFactory()) gdal_coverage_converter = GdalToCoverageConverter( self.resumer, self.session.get_default_null_values(), self.recipe_type, sentence_evaluator, self.session.get_coverage_id(), None, self.session.get_files(), crs, None, None, global_metadata_fields, local_metadata_fields, None, None, general_recipe._metadata_type(), None, None, self.session) coverage_slices_dict = self._get_coverage_slices( crs, gdal_coverage_converter) fields = GdalRangeFieldsGenerator( gdal_dataset, self.options['band_names']).get_range_fields() global_metadata = None if len(coverage_slices_dict["base"]) > 0: global_metadata = gdal_coverage_converter._generate_global_metadata( coverage_slices_dict["base"][0], self.evaluator_slice) results = [] base_coverage_id = self.session.get_coverage_id() for key, value in coverage_slices_dict.items(): if key == "base": # base coverage coverage = Coverage(base_coverage_id, coverage_slices_dict[key], fields, crs, gdal_dataset.get_band_gdal_type(), self.options['tiling'], global_metadata) else: # overview coverage (key = overview_index) coverage_id = create_coverage_id_for_overview( base_coverage_id, key) coverage = Coverage(coverage_id, coverage_slices_dict[key], fields, crs, gdal_dataset.get_band_gdal_type(), self.options['tiling'], global_metadata, base_coverage_id, key) results.append(coverage) return results
def _get_coverage(self): # Get the crs of one of the images using a GDAL helper class. We are assuming all images have the same CRS gdal_dataset = GDALGmlUtil(self.session.get_files()[0].get_filepath()) # Get the crs of the coverage by compounding the two crses crs = CRSUtil.get_compound_crs( [gdal_dataset.get_crs(), self.options['time_crs']]) fields = GdalRangeFieldsGenerator(gdal_dataset).get_range_fields() pixel_type = gdal_dataset.get_band_gdal_type() coverage_id = self.session.get_coverage_id() slices = self._get_slices(crs) return Coverage(coverage_id, slices, fields, crs, pixel_type)
def _get_coverage(self): """ Returns the coverage to be used for the importer """ gdal_dataset = GDALGmlUtil.open_gdal_dataset_from_any_file(self.session.get_files()) crs = gdal_dataset.get_crs() slices = self._get_slices(crs) fields = GdalRangeFieldsGenerator(gdal_dataset, self.options['band_names']).get_range_fields() coverage = Coverage(self.session.get_coverage_id(), slices, fields, gdal_dataset.get_crs(), gdal_dataset.get_band_gdal_type(), self.options['tiling']) return coverage
def _get_coverage(self): """ Returns the coverage to be used for the importer """ gdal_dataset = GDALGmlUtil(self.session.get_files()[0].get_filepath()) crs = CRSUtil.get_compound_crs( [gdal_dataset.get_crs(), self.options['time_crs']]) slices = self._get_slices(crs) fields = GdalRangeFieldsGenerator( gdal_dataset, self.options['band_names']).get_range_fields() coverage = Coverage(self.session.get_coverage_id(), slices, fields, crs, gdal_dataset.get_band_gdal_type(), self.options['tiling']) return coverage
def _get_coverage(self): # Get the crs of one of the images using a GDAL helper class. We are assuming all images have the same CRS for file in self.session.get_files(): try: file_path = file.get_filepath() gdal_dataset = GDALGmlUtil(file_path) break except Exception as e: if ConfigManager.skip == True: pass else: raise e # Get the crs of the coverage by compounding the two crses crs = CRSUtil.get_compound_crs([gdal_dataset.get_crs(), self.options['time_crs']]) fields = GdalRangeFieldsGenerator(gdal_dataset).get_range_fields() pixel_type = gdal_dataset.get_band_gdal_type() coverage_id = self.session.get_coverage_id() slices = self._get_slices(crs) return Coverage(coverage_id, slices, fields, crs, pixel_type)