def test_serialize_and_deserialize(self):
rm_type = pt_gs_k.PTGSKModel
reg_param = rm_type.parameter_t()
epsg_id = 32633
catchment_type = 'regulated'
identifier = 'SUBCATCH_ID'
dxy = 1000.
pad = 5
# LTM5-Tya
id_list = [172, 174, 177, 185, 187, 190]
grid_specification = get_grid_spec_from_catch_poly(
id_list, catchment_type, identifier, epsg_id, dxy, pad)
# LTM5-Nea
id_list_1 = [180, 188, 191, 196]
grid_specification_1 = get_grid_spec_from_catch_poly(
id_list_1, catchment_type, identifier, epsg_id, dxy, pad)
cfg_list = [
RegionModelConfig('Tya', rm_type, reg_param,
grid_specification, catchment_type,
identifier, id_list),
RegionModelConfig('Nea', rm_type, reg_param,
grid_specification_1, catchment_type,
identifier, id_list_1),
]
rm_cfg_dict = {x.name: x for x in cfg_list}
rm_repo = GisRegionModelRepository(rm_cfg_dict, use_cache=True)
# Start by removing existing cache file
GisRegionModelRepository.remove_cache(identifier,
grid_specification)
# Update cache with Nea cell_data
GisRegionModelRepository.update_cache(catchment_type, identifier,
grid_specification_1,
id_list_1)
# Construct a region_model for Tya - this process should automatically append Tya cell_data to cache
rm = rm_repo.get_region_model('Tya')
cells_from_rm = rm.get_cells()
# Get Tya cell_data from the region_model
cell_data_from_region_model = cells_from_rm.geo_cell_data_vector(
cells_from_rm).to_numpy().reshape(-1, 11)
# Get Tya cell_data from auto generated cache
cell_data_from_auto_cache = GisRegionModelRepository.get_cell_data_from_cache(
identifier, grid_specification, id_list)
# Remove the cache file
GisRegionModelRepository.remove_cache(identifier,
grid_specification)
# Update cache with Tya cell_data
GisRegionModelRepository.update_cache(catchment_type, identifier,
grid_specification, id_list)
# Update cache with Nea cell_data
GisRegionModelRepository.update_cache(catchment_type, identifier,
grid_specification_1,
id_list_1)
# Get Tya cell_data from updated cache
cell_data_from_updated_cache = GisRegionModelRepository.get_cell_data_from_cache(
identifier, grid_specification, id_list)
# Get Nea cell_data from updated cache
cell_data_from_updated_cache_1 = GisRegionModelRepository.get_cell_data_from_cache(
identifier, grid_specification_1, id_list_1)
# Remove the cache file
GisRegionModelRepository.remove_cache(identifier,
grid_specification)
# Get Nea cell_data from GIS
cell_data_from_gis_1 = GisRegionModelRepository.get_cell_data_from_gis(
catchment_type, identifier, grid_specification_1, id_list_1)
# Get Tya cell_data from GIS
cell_data_from_gis = GisRegionModelRepository.get_cell_data_from_gis(
catchment_type, identifier, grid_specification, id_list)
# Update cache with Tya cell_data
GisRegionModelRepository.update_cache(catchment_type, identifier,
grid_specification, id_list)
# Construct a region_model for Nea - this process should automatically append Nea cell_data to cache')
rm_1 = rm_repo.get_region_model('Nea')
cells_from_rm_1 = rm_1.get_cells()
# Get Nea cell_data from the region_model
cell_data_from_region_model_1 = cells_from_rm_1.geo_cell_data_vector(
cells_from_rm_1).to_numpy().reshape(-1, 11)
# Get Nea cell_data from auto generated cache
cell_data_from_auto_cache_1 = GisRegionModelRepository.get_cell_data_from_cache(
identifier, grid_specification_1, id_list_1)
# Remove the cache file
GisRegionModelRepository.remove_cache(identifier,
grid_specification)
# Comparing results...
# Arrays to compare
# Tya
# cell_data_from_region_model, cell_data_from_auto_cache, cell_data_from_updated_cache, cell_data_from_gis
atol = 1e-08
self.assertTrue(
np.allclose(cell_data_from_region_model,
cell_data_from_gis['geo_data'],
atol=atol))
self.assertTrue(
np.allclose(cell_data_from_auto_cache['geo_data'],
cell_data_from_gis['geo_data'],
atol=atol))
self.assertTrue(
np.allclose(cell_data_from_updated_cache['geo_data'],
cell_data_from_gis['geo_data'],
atol=atol))
self.assertTrue(
np.allclose(rm.catchment_id_map,
cell_data_from_gis['cid_map'],
atol=atol))
self.assertTrue(
np.allclose(cell_data_from_auto_cache['cid_map'],
cell_data_from_gis['cid_map'],
atol=atol))
self.assertTrue(
np.allclose(cell_data_from_updated_cache['cid_map'],
cell_data_from_gis['cid_map'],
atol=atol))
# Nea
# cell_data_from_region_model_1, cell_data_from_auto_cache_1, cell_data_from_updated_cache_1, cell_data_from_gis_1
self.assertTrue(
np.allclose(cell_data_from_region_model_1,
cell_data_from_gis_1['geo_data'],
atol=atol))
self.assertTrue(
np.allclose(cell_data_from_auto_cache_1['geo_data'],
cell_data_from_gis_1['geo_data'],
atol=atol))
self.assertTrue(
np.allclose(cell_data_from_updated_cache_1['geo_data'],
cell_data_from_gis_1['geo_data'],
atol=atol))
self.assertTrue(
np.allclose(rm_1.catchment_id_map,
cell_data_from_gis_1['cid_map'],
atol=atol))
self.assertTrue(
np.allclose(cell_data_from_auto_cache_1['cid_map'],
cell_data_from_gis_1['cid_map'],
atol=atol))
self.assertTrue(
np.allclose(cell_data_from_updated_cache_1['cid_map'],
cell_data_from_gis_1['cid_map'],
atol=atol))
def test_serialize_and_deserialize(self):
rm_type = pt_gs_k.PTGSKModel
reg_param = rm_type.parameter_t()
epsg_id = 32633
catchment_type = 'regulated'
identifier = 'SUBCATCH_ID'
dxy = 1000.
pad = 5
# LTM5-Tya
id_list = [172, 174, 177, 185, 187, 190]
grid_specification = get_grid_spec_from_catch_poly(id_list, catchment_type, identifier, epsg_id, dxy, pad)
# LTM5-Nea
id_list_1 = [180, 188, 191, 196]
grid_specification_1 = get_grid_spec_from_catch_poly(id_list_1, catchment_type, identifier, epsg_id, dxy, pad)
cfg_list = [
RegionModelConfig('Tya', rm_type, reg_param, grid_specification, catchment_type, identifier, id_list),
RegionModelConfig('Nea', rm_type, reg_param, grid_specification_1, catchment_type, identifier, id_list_1),
]
rm_cfg_dict = {x.name: x for x in cfg_list}
rm_repo = GisRegionModelRepository(rm_cfg_dict, use_cache=True)
# Start by removing existing cache file
GisRegionModelRepository.remove_cache(identifier, grid_specification)
# Update cache with Nea cell_data
GisRegionModelRepository.update_cache(catchment_type, identifier, grid_specification_1, id_list_1)
# Construct a region_model for Tya - this process should automatically append Tya cell_data to cache
rm = rm_repo.get_region_model('Tya')
cells_from_rm = rm.get_cells()
# Get Tya cell_data from the region_model
cell_data_from_region_model = cells_from_rm.geo_cell_data_vector(cells_from_rm).to_numpy().reshape(-1, 11)
# Get Tya cell_data from auto generated cache
cell_data_from_auto_cache = GisRegionModelRepository.get_cell_data_from_cache(
identifier, grid_specification, id_list)
# Remove the cache file
GisRegionModelRepository.remove_cache(identifier, grid_specification)
# Update cache with Tya cell_data
GisRegionModelRepository.update_cache(catchment_type, identifier, grid_specification, id_list)
# Update cache with Nea cell_data
GisRegionModelRepository.update_cache(catchment_type, identifier, grid_specification_1, id_list_1)
# Get Tya cell_data from updated cache
cell_data_from_updated_cache = GisRegionModelRepository.get_cell_data_from_cache(
identifier, grid_specification, id_list)
# Get Nea cell_data from updated cache
cell_data_from_updated_cache_1 = GisRegionModelRepository.get_cell_data_from_cache(
identifier, grid_specification_1, id_list_1)
# Remove the cache file
GisRegionModelRepository.remove_cache(identifier, grid_specification)
# Get Nea cell_data from GIS
cell_data_from_gis_1 = GisRegionModelRepository.get_cell_data_from_gis(
catchment_type, identifier, grid_specification_1, id_list_1)
# Get Tya cell_data from GIS
cell_data_from_gis = GisRegionModelRepository.get_cell_data_from_gis(
catchment_type, identifier, grid_specification, id_list)
# Update cache with Tya cell_data
GisRegionModelRepository.update_cache(catchment_type, identifier, grid_specification, id_list)
# Construct a region_model for Nea - this process should automatically append Nea cell_data to cache')
rm_1 = rm_repo.get_region_model('Nea')
cells_from_rm_1 = rm_1.get_cells()
# Get Nea cell_data from the region_model
cell_data_from_region_model_1 = cells_from_rm_1.geo_cell_data_vector(cells_from_rm_1).to_numpy().reshape(-1, 11)
# Get Nea cell_data from auto generated cache
cell_data_from_auto_cache_1 = GisRegionModelRepository.get_cell_data_from_cache(
identifier, grid_specification_1, id_list_1)
# Remove the cache file
GisRegionModelRepository.remove_cache(identifier, grid_specification)
# Comparing results...
# Arrays to compare
# Tya
# cell_data_from_region_model, cell_data_from_auto_cache, cell_data_from_updated_cache, cell_data_from_gis
atol = 1e-08
self.assertTrue(np.allclose(cell_data_from_region_model, cell_data_from_gis['geo_data'], atol=atol))
self.assertTrue(np.allclose(cell_data_from_auto_cache['geo_data'], cell_data_from_gis['geo_data'], atol=atol))
self.assertTrue(np.allclose(cell_data_from_updated_cache['geo_data'], cell_data_from_gis['geo_data'], atol=atol))
self.assertTrue(np.allclose(rm.catchment_id_map, cell_data_from_gis['cid_map'], atol=atol))
self.assertTrue(np.allclose(cell_data_from_auto_cache['cid_map'], cell_data_from_gis['cid_map'], atol=atol))
self.assertTrue(np.allclose(cell_data_from_updated_cache['cid_map'], cell_data_from_gis['cid_map'], atol=atol))
# Nea
# cell_data_from_region_model_1, cell_data_from_auto_cache_1, cell_data_from_updated_cache_1, cell_data_from_gis_1
self.assertTrue(np.allclose(cell_data_from_region_model_1, cell_data_from_gis_1['geo_data'], atol=atol))
self.assertTrue(np.allclose(cell_data_from_auto_cache_1['geo_data'], cell_data_from_gis_1['geo_data'], atol=atol))
self.assertTrue(np.allclose(cell_data_from_updated_cache_1['geo_data'], cell_data_from_gis_1['geo_data'], atol=atol))
self.assertTrue(np.allclose(rm_1.catchment_id_map, cell_data_from_gis_1['cid_map'], atol=atol))
self.assertTrue(np.allclose(cell_data_from_auto_cache_1['cid_map'], cell_data_from_gis_1['cid_map'], atol=atol))
self.assertTrue(np.allclose(cell_data_from_updated_cache_1['cid_map'], cell_data_from_gis_1['cid_map'], atol=atol))
