From 18b1020ff4046e58702288757dabde9ac8ba3e79 Mon Sep 17 00:00:00 2001 From: Joeri van Engelen Date: Wed, 13 Nov 2024 11:54:28 +0100 Subject: [PATCH] Issue #342 imod refactor primod update (#352) Make iMOD Coupler compatible with iMOD Python 0.18.0: * Use Mf6Wel object instead of WellDisStructuredDis * Provide WEL at write instead of at init. * Derive Mf6Wel package from coupler dict * Drop unused "layer" coord that was causing trouble * Set fill value to -1 for rasterio >=1.3.10 * Set dtype explicitly after imod-python update. Otherwise defaults to using the dtype of like, which is an integer. This causes problem for the fill value "nan" which the ribamod coupling depends on. * Use special method to get diskey, for future support of unstructured grids * Make sprinkling optional and improve function name. * Add unittest for get_mf6_pkgs_with_coupling_dict * Update remove sprinkling function, as initialization of Coupling object is not necessary anymore. * Add pandera dependency * Use python-build instead of build, as build-feedstock has been archived * Force pandas > 2.0, otherwise ribasim-test-models doesn't work * fix mypy error: unused type: ignore comment * Cast to geodataframe to work around mypy error. --- pixi.lock | 9235 +++++++++++------ pixi.toml | 8 +- .../primod/driver_coupling/metamod.py | 4 +- .../primod/driver_coupling/ribameta.py | 4 +- .../primod/driver_coupling/ribamod.py | 11 +- .../primod/mapping/wel_svat_mapping.py | 18 +- pre-processing/primod/metamod.py | 16 +- pre-processing/primod/model_mixin.py | 27 + pre-processing/primod/ribametamod.py | 10 +- tests/fixtures/common.py | 27 +- tests/fixtures/fixture_metaswap.py | 14 +- tests/fixtures/fixture_modflow.py | 2 +- tests/fixtures/fixture_ribametamod.py | 9 +- tests/test_imod_coupler/test_metamod.py | 1 + .../test_ribametamod_cases.py | 29 +- tests/test_primod/test_mixin.py | 36 + tests/test_primod/test_wel_svat_mapping.py | 44 +- 17 files changed, 6307 insertions(+), 3188 deletions(-) create mode 100644 pre-processing/primod/model_mixin.py create mode 100644 tests/test_primod/test_mixin.py diff --git a/pixi.lock b/pixi.lock index 202d3d6c..65d1d2f8 100644 --- a/pixi.lock +++ b/pixi.lock @@ -11,26 +11,25 @@ environments: - 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dis = gwf_model[gwf_model._get_pkgkey("dis")] + dis = gwf_model[gwf_model._get_diskey()] index, svat = msw_model[grid_data_key].generate_index_array() grid_mapping = NodeSvatMapping(svat=svat, modflow_dis=dis, index=index) @@ -78,7 +78,7 @@ def derive_mapping( rch_mapping = RechargeSvatMapping(svat, recharge, index=index) if self._check_sprinkling(msw_model=msw_model, gwf_model=gwf_model): - well = gwf_model[self.mf6_wel_package] + well = gwf_model.prepare_wel_for_mf6(self.mf6_wel_package, True, True) well_mapping = WellSvatMapping(svat, well, index=index) return grid_mapping, rch_mapping, well_mapping else: diff --git a/pre-processing/primod/driver_coupling/ribameta.py b/pre-processing/primod/driver_coupling/ribameta.py index 7371fc2f..f22670ef 100644 --- a/pre-processing/primod/driver_coupling/ribameta.py +++ b/pre-processing/primod/driver_coupling/ribameta.py @@ -66,6 +66,7 @@ def derive_mapping( self.ribasim_basin_definition, like=svat.isel(subunit=0, drop=True), column="node_id", + dtype=np.float64, ) elif isinstance(self.ribasim_basin_definition, xr.DataArray): gridded_basin = self.ribasim_basin_definition @@ -91,6 +92,7 @@ def derive_mapping( self.ribasim_user_demand_definition, like=svat.isel(subunit=0, drop=True), column="node_id", + dtype=np.float64, ) elif isinstance(self.ribasim_user_demand_definition, xr.DataArray): gridded_user_demand = self.ribasim_user_demand_definition @@ -104,7 +106,7 @@ def derive_mapping( nsu = swspr_grid_data.dataset["area"].sizes["subunit"] swsprmax = msw_model["sprinkling"] swspr_grid_data.dataset["area"].values = np.tile( - swsprmax["max_abstraction_surfacewater_m3_d"].values, + swsprmax["max_abstraction_surfacewater"].values, (nsu, 1, 1), ) index_swspr, svat_swspr = swspr_grid_data.generate_index_array() diff --git a/pre-processing/primod/driver_coupling/ribamod.py b/pre-processing/primod/driver_coupling/ribamod.py index 79cabdcc..e75951cf 100644 --- a/pre-processing/primod/driver_coupling/ribamod.py +++ b/pre-processing/primod/driver_coupling/ribamod.py @@ -1,6 +1,6 @@ import abc from pathlib import Path -from typing import Any +from typing import Any, cast import imod import numpy as np @@ -69,7 +69,7 @@ def write_exchanges( gwf_model = mf6_simulation[self.mf6_model] ribasim_model = coupled_model.ribasim_model - dis = gwf_model[gwf_model._get_pkgkey("dis")] + dis = gwf_model[gwf_model._get_diskey()] basin_definition = self.ribasim_basin_definition if isinstance(basin_definition, gpd.GeoDataFrame): # Validate and fetch @@ -80,6 +80,7 @@ def write_exchanges( basin_definition, like=dis["idomain"].isel(layer=0, drop=True), column="node_id", + dtype=np.float64, ) basin_dataset = xr.Dataset( {key: gridded_basin for key in self.mf6_packages} @@ -161,11 +162,11 @@ def _write_exchange( ) # in active coupling, check subgrid levels versus modflow bottom elevation if isinstance(self, RibaModActiveDriverCoupling): + # Cast to geodataframe for mypy + subgrid_df = cast(gpd.GeoDataFrame, ribasim_model.basin.subgrid.df) # check on the bottom elevation and ribasim minimal subgrid level minimum_subgrid_level = ( - ribasim_model.basin.subgrid.df.groupby("subgrid_id") # type: ignore - .min()["subgrid_level"] - .to_numpy() + subgrid_df.groupby("subgrid_id").min()["subgrid_level"].to_numpy() ) subgrid_index = mapping.dataframe["subgrid_index"] bound_index = mapping.dataframe["bound_index"] diff --git a/pre-processing/primod/mapping/wel_svat_mapping.py b/pre-processing/primod/mapping/wel_svat_mapping.py index 5cfd6466..bfe19f05 100644 --- a/pre-processing/primod/mapping/wel_svat_mapping.py +++ b/pre-processing/primod/mapping/wel_svat_mapping.py @@ -4,7 +4,7 @@ import numpy as np import pandas as pd import xarray as xr -from imod import mf6 +from imod.mf6.mf6_wel_adapter import Mf6Wel from imod.msw.fixed_format import VariableMetaData from numpy.typing import NDArray @@ -38,9 +38,7 @@ class WellSvatMapping(MetaModMapping): _with_subunit = ("wel_id", "svat", "layer") _to_fill = ("free",) - def __init__( - self, svat: xr.DataArray, well: mf6.WellDisStructured, index: NDArray[Int] - ): + def __init__(self, svat: xr.DataArray, well: Mf6Wel, index: NDArray[Int]): super().__init__() self.index = index self.well = well @@ -55,10 +53,14 @@ def _create_well_id( """ Get modflow indices, svats, and layer number for the wells """ + well_cellid = self.well["cellid"] + if len(well_cellid.coords["dim_cellid"]) != 3: + raise TypeError("Coupling to unstructured grids is not supported.") + # Convert to Python's 0-based index - well_row = self.well["row"] - 1 - well_column = self.well["column"] - 1 - well_layer = self.well["layer"] + well_layer = well_cellid.sel(dim_cellid="layer").data + well_row = well_cellid.sel(dim_cellid="row").data - 1 + well_column = well_cellid.sel(dim_cellid="column").data - 1 n_subunit = svat["subunit"].size @@ -71,7 +73,7 @@ def _create_well_id( layer = np.tile(well_layer, (n_subunit, 1)) layer_1d = layer[well_active] - well_id = self.well.dataset.coords["index"] + 1 + well_id = well_cellid.coords["ncellid"] + 1 well_id_1d = np.tile(well_id, (n_subunit, 1))[well_active] return (well_id_1d, well_svat_1d, layer_1d) diff --git a/pre-processing/primod/metamod.py b/pre-processing/primod/metamod.py index 07783e94..c8c14945 100644 --- a/pre-processing/primod/metamod.py +++ b/pre-processing/primod/metamod.py @@ -8,9 +8,10 @@ from primod.coupled_model import CoupledModel from primod.driver_coupling.metamod import MetaModDriverCoupling +from primod.model_mixin import MetaModMixin -class MetaMod(CoupledModel): +class MetaMod(CoupledModel, MetaModMixin): """Couple MetaSWAP and MODFLOW 6. Parameters @@ -19,6 +20,8 @@ class MetaMod(CoupledModel): The MetaSWAP model that should be coupled. mf6_simulation : Modflow6Simulation The Modflow6 simulation that should be coupled. + coupling_list: list of DriverCoupling + One entry per MODFLOW 6 model that should be coupled """ _toml_name = "imod_coupler.toml" @@ -96,7 +99,16 @@ def write( directory / self._modflow6_model_dir, **modflow6_write_kwargs, ) - self.msw_model.write(directory / self._metaswap_model_dir) + + mf6_dis_pkg, mf6_wel_pkg = self.get_mf6_pkgs_for_metaswap( + coupling_dict, self.mf6_simulation + ) + + self.msw_model.write( + directory / self._metaswap_model_dir, + mf6_dis_pkg, + mf6_wel_pkg, + ) def write_toml( self, diff --git a/pre-processing/primod/model_mixin.py b/pre-processing/primod/model_mixin.py new file mode 100644 index 00000000..1ce33a18 --- /dev/null +++ b/pre-processing/primod/model_mixin.py @@ -0,0 +1,27 @@ +"""Module containing mixins for specific kernels, for example MODFLOW.""" + +from imod.mf6 import Modflow6Simulation, StructuredDiscretization +from imod.mf6.mf6_wel_adapter import Mf6Wel + + +class MetaModMixin: + """MetaSWAP-Modflow coupling specific methods.""" + + @staticmethod + def get_mf6_pkgs_for_metaswap( + coupling_dict: dict[str, str], mf6_simulation: Modflow6Simulation + ) -> tuple[StructuredDiscretization, Mf6Wel | None]: + """ + Get names of DIS and possibly WEL packages from coupling_dict then fetch + these MODFLOW 6 packages from simulation. + """ + mf6_model_key = coupling_dict["mf6_model"] + gwf_model = mf6_simulation[mf6_model_key] + mf6_dis_key = gwf_model._get_diskey() + mf6_dis_pkg = gwf_model[mf6_dis_key] + + mf6_wel_pkg = None + if "mf6_msw_well_pkg" in coupling_dict.keys(): + mf6_well_key = coupling_dict["mf6_msw_well_pkg"] + mf6_wel_pkg = gwf_model.prepare_wel_for_mf6(mf6_well_key, True, True) + return mf6_dis_pkg, mf6_wel_pkg diff --git a/pre-processing/primod/ribametamod.py b/pre-processing/primod/ribametamod.py index 480b33f7..90e26dad 100644 --- a/pre-processing/primod/ribametamod.py +++ b/pre-processing/primod/ribametamod.py @@ -9,9 +9,10 @@ from primod.coupled_model import CoupledModel from primod.driver_coupling.driver_coupling_base import DriverCoupling +from primod.model_mixin import MetaModMixin -class RibaMetaMod(CoupledModel): +class RibaMetaMod(CoupledModel, MetaModMixin): """Couple Ribasim, MetaSWAP and MODFLOW 6. Parameters ---------- @@ -112,7 +113,12 @@ def write( directory / self._modflow6_model_dir, **modflow6_write_kwargs, ) - self.msw_model.write(directory / self._metaswap_model_dir) + mf6_dis_pkg, mf6_wel_pkg = self.get_mf6_pkgs_for_metaswap( + coupling_dict, self.mf6_simulation + ) + self.msw_model.write( + directory / self._metaswap_model_dir, mf6_dis_pkg, mf6_wel_pkg + ) self.ribasim_model.write(directory / self._ribasim_model_dir / "ribasim.toml") def write_toml( diff --git a/tests/fixtures/common.py b/tests/fixtures/common.py index f74c0aa5..b21aa017 100644 --- a/tests/fixtures/common.py +++ b/tests/fixtures/common.py @@ -1,7 +1,7 @@ import numpy as np import pandas as pd import xarray as xr -from imod import mf6 +from imod.mf6.wel import LayeredWell from numpy import float64, int_ from numpy.typing import NDArray @@ -32,9 +32,7 @@ def get_times() -> pd.DatetimeIndex: return pd.date_range(start="1/1/1971", end="8/1/1971", freq=freq) -def create_wells( - nrow: int, ncol: int, idomain: xr.DataArray, wel_layer: int | None = None -) -> mf6.WellDisStructured: +def create_wells(idomain: xr.DataArray, wel_layer: int | None = None) -> LayeredWell: """ Create wells, deactivate inactive cells. This function wouldn't be necessary if iMOD Python had a package to specify wells based on grids. @@ -43,11 +41,16 @@ def create_wells( if wel_layer is None: wel_layer = 3 + x = idomain.coords["x"].to_numpy() + y = idomain.coords["y"].to_numpy() + + x_grid, y_grid = np.meshgrid(x, y) + is_inactive = ~idomain.sel(layer=wel_layer).astype(bool) id_inactive = np.argwhere(is_inactive.values) + 1 - ix = np.tile(np.arange(ncol) + 1, nrow) - iy = np.repeat(np.arange(nrow) + 1, ncol) + ix = np.ravel(x_grid) + iy = np.ravel(y_grid) to_deactivate = np.full_like(ix, False, dtype=bool) for i in id_inactive: @@ -58,19 +61,15 @@ def create_wells( iy_active = iy[~to_deactivate] rate = np.zeros(ix_active.shape) - layer = np.full_like(ix_active, wel_layer) + layer = np.full_like(ix_active, wel_layer, dtype=int) - return mf6.WellDisStructured( - layer=layer, row=iy_active, column=ix_active, rate=rate - ) + return LayeredWell(ix_active, iy_active, layer, rate) -def create_wells_max_layer( - nrow: int, ncol: int, idomain: xr.DataArray -) -> mf6.WellDisStructured: +def create_wells_max_layer(idomain: xr.DataArray) -> LayeredWell: """ Create wells in deepest layer of MODFLOW 6 model """ wel_layer = idomain.layer.max().item() - return create_wells(nrow, ncol, idomain, wel_layer) + return create_wells(idomain, wel_layer) diff --git a/tests/fixtures/fixture_metaswap.py b/tests/fixtures/fixture_metaswap.py index 42c14101..7b273266 100644 --- a/tests/fixtures/fixture_metaswap.py +++ b/tests/fixtures/fixture_metaswap.py @@ -7,14 +7,13 @@ from imod import mf6, msw from numpy import nan -from .common import create_wells, get_times, grid_sizes +from .common import get_times, grid_sizes def metaswap_model( times: list[pd.date_range], area: xr.DataArray, active: xr.DataArray, - well: mf6.WellDisStructured, dis: mf6.StructuredDiscretization, unsaturated_database: str, ) -> msw.MetaSwapModel: @@ -85,7 +84,6 @@ def metaswap_model( max_abstraction_surfacewater=xr.full_like( msw_grid, 0.02 * (20 * 20) ), # 20 mm/d - well=well, ) # Ponding @@ -149,7 +147,7 @@ def metaswap_model( ) # Metaswap Mappings - msw_model["mod2svat"] = msw.CouplerMapping(modflow_dis=dis, well=well) + msw_model["mod2svat"] = msw.CouplerMapping() # Output Control msw_model["oc_idf"] = msw.IdfMapping(area, -9999.0) @@ -166,9 +164,6 @@ def make_msw_model(idomain: xr.DataArray) -> msw.MetaSwapModel: x, y, layer, dx, dy, dz = grid_sizes() subunit = [0, 1] - nrow = len(y) - ncol = len(x) - top = 0.0 bottom = top - xr.DataArray(np.cumsum(dz), coords={"layer": layer}, dims="layer") @@ -206,12 +201,9 @@ def make_msw_model(idomain: xr.DataArray) -> msw.MetaSwapModel: area = area.where(modflow_active) active = active & modflow_active - # Well - well = create_wells(nrow, ncol, idomain) - dis = mf6.StructuredDiscretization(idomain=idomain, top=top, bottom=bottom) - return metaswap_model(times,area,active, well, dis,unsaturated_database) + return metaswap_model(times,area,active,dis,unsaturated_database) @pytest_cases.fixture(scope="function") diff --git a/tests/fixtures/fixture_modflow.py b/tests/fixtures/fixture_modflow.py index 96de9d4f..f186ab63 100644 --- a/tests/fixtures/fixture_modflow.py +++ b/tests/fixtures/fixture_modflow.py @@ -84,7 +84,7 @@ def make_coupled_mf6_model(idomain: xr.DataArray) -> mf6.Modflow6Simulation: head, print_input=True, print_flows=True, save_flows=True ) gwf_model["rch_msw"] = make_recharge_pkg(idomain) - gwf_model["wells_msw"] = create_wells(nrow, ncol, idomain) + gwf_model["wells_msw"] = create_wells(idomain) simulation = make_mf6_simulation(gwf_model) return simulation diff --git a/tests/fixtures/fixture_ribametamod.py b/tests/fixtures/fixture_ribametamod.py index f432b0b3..eb94bb01 100644 --- a/tests/fixtures/fixture_ribametamod.py +++ b/tests/fixtures/fixture_ribametamod.py @@ -5,7 +5,6 @@ import xarray as xr from imod import mf6, msw -from .common import create_wells_max_layer from .fixture_metaswap import metaswap_model @@ -17,7 +16,7 @@ def make_msw_model( idomain = gwf["GWF_1"]["dis"]["idomain"] if "layer" in idomain.dims: - idomain_layer1 = idomain.sel(layer=1) + idomain_layer1 = idomain.sel(layer=1, drop=True) if nsubunits is None: nsubunits = xr.ones_like(idomain) @@ -51,12 +50,8 @@ def make_msw_model( area = area.where(modflow_active) active = active & modflow_active - # Well - ncol = idomain.x.size - nrow = idomain.y.size - well = create_wells_max_layer(nrow, ncol, idomain.where(active)) msw_model = metaswap_model( - times, area, active, well, gwf["GWF_1"]["dis"], unsaturated_database + times, area, active, gwf["GWF_1"]["dis"], unsaturated_database ) # remove bizar large et-flux evaporation = msw_model["meteo_grid"].dataset["evapotranspiration"] diff --git a/tests/test_imod_coupler/test_metamod.py b/tests/test_imod_coupler/test_metamod.py index ac7d343b..181d0e08 100644 --- a/tests/test_imod_coupler/test_metamod.py +++ b/tests/test_imod_coupler/test_metamod.py @@ -209,6 +209,7 @@ def test_metamod_regression( subprocess.run( [imod_coupler_exec_regression, tmp_path_reg / metamod_model._toml_name], check=True, + capture_output=True, ) # Read Modflow 6 output diff --git a/tests/test_imod_coupler/test_ribametamod_cases.py b/tests/test_imod_coupler/test_ribametamod_cases.py index 39dda5c2..888327d1 100644 --- a/tests/test_imod_coupler/test_ribametamod_cases.py +++ b/tests/test_imod_coupler/test_ribametamod_cases.py @@ -71,8 +71,7 @@ def add_well_package( mf6_model: Modflow6Simulation, ) -> Modflow6Simulation: idomain = mf6_model["GWF_1"]["dis"]["idomain"] - _, nrow, ncol = idomain.shape - mf6_model["GWF_1"]["well_msw"] = create_wells_max_layer(nrow, ncol, idomain) + mf6_model["GWF_1"]["well_msw"] = create_wells_max_layer(idomain) return mf6_model @@ -88,12 +87,8 @@ def set_confined_storage_formulation( return mf6_model -def remove_sprinkling_from_groundwater( - msw_model: MetaSwapModel, mf6_model: Modflow6Simulation -) -> MetaSwapModel: +def remove_sprinkling_from_groundwater(msw_model: MetaSwapModel) -> MetaSwapModel: msw_model.pop("sprinkling") - msw_model.pop("mod2svat") - msw_model["mod2svat"] = msw.CouplerMapping(modflow_dis=mf6_model["GWF_1"]["dis"]) return msw_model @@ -387,9 +382,7 @@ def case_backwater_model( ribasim_backwater_model: ribasim.Model, ) -> RibaMetaMod: mf6_backwater_model = set_confined_storage_formulation(mf6_backwater_model) - msw_backwater_model = remove_sprinkling_from_groundwater( - msw_backwater_model, mf6_backwater_model - ) + msw_backwater_model = remove_sprinkling_from_groundwater(msw_backwater_model) # add rch-package for coupling MetaMod mf6_backwater_model = add_rch_package(mf6_backwater_model) @@ -434,9 +427,7 @@ def case_two_basin_model( ribasim_two_basin_model: ribasim.Model, ) -> RibaMetaMod: mf6_two_basin_model = set_confined_storage_formulation(mf6_two_basin_model) - msw_two_basin_model = remove_sprinkling_from_groundwater( - msw_two_basin_model, mf6_two_basin_model - ) + msw_two_basin_model = remove_sprinkling_from_groundwater(msw_two_basin_model) # add rch-package for coupling MetaMod mf6_two_basin_model = add_rch_package(mf6_two_basin_model) @@ -480,9 +471,7 @@ def case_two_basin_model_dtgw_2( ribasim_two_basin_model: ribasim.Model, ) -> RibaMetaMod: mf6_two_basin_model = set_confined_storage_formulation(mf6_two_basin_model) - msw_two_basin_model = remove_sprinkling_from_groundwater( - msw_two_basin_model, mf6_two_basin_model - ) + msw_two_basin_model = remove_sprinkling_from_groundwater(msw_two_basin_model) # add rch-package for coupling MetaMod mf6_two_basin_model = add_rch_package(mf6_two_basin_model) @@ -535,9 +524,7 @@ def case_two_basin_model_dtgw_2_dtsw_05( ribasim_two_basin_model: ribasim.Model, ) -> RibaMetaMod: mf6_two_basin_model = set_confined_storage_formulation(mf6_two_basin_model) - msw_two_basin_model = remove_sprinkling_from_groundwater( - msw_two_basin_model, mf6_two_basin_model - ) + msw_two_basin_model = remove_sprinkling_from_groundwater(msw_two_basin_model) # add rch-package for coupling MetaMod mf6_two_basin_model = add_rch_package(mf6_two_basin_model) @@ -592,9 +579,7 @@ def case_two_basin_model_dtsw_05( ribasim_two_basin_model: ribasim.Model, ) -> RibaMetaMod: mf6_two_basin_model = set_confined_storage_formulation(mf6_two_basin_model) - msw_two_basin_model = remove_sprinkling_from_groundwater( - msw_two_basin_model, mf6_two_basin_model - ) + msw_two_basin_model = remove_sprinkling_from_groundwater(msw_two_basin_model) # add rch-package for coupling MetaMod mf6_two_basin_model = add_rch_package(mf6_two_basin_model) diff --git a/tests/test_primod/test_mixin.py b/tests/test_primod/test_mixin.py new file mode 100644 index 00000000..c3f872e6 --- /dev/null +++ b/tests/test_primod/test_mixin.py @@ -0,0 +1,36 @@ +from imod.mf6 import Modflow6Simulation, StructuredDiscretization +from imod.mf6.mf6_wel_adapter import Mf6Wel +from primod.model_mixin import MetaModMixin +from pytest import fixture + + +@fixture(scope="function") +def coupling_dict() -> dict[str, str]: + return { + "mf6_model": "GWF_1", + "mf6_recharge_package": "rch_msw", + "mf6_msw_well_pkg": "wells_msw", + } + + +def test_get_mf6_pkgs_for_metaswap__sprinkling( + coupling_dict: dict[str, str], coupled_mf6_model: Modflow6Simulation +): + mf6_dis, mf6_wel = MetaModMixin.get_mf6_pkgs_for_metaswap( + coupling_dict, coupled_mf6_model + ) + + assert isinstance(mf6_dis, StructuredDiscretization) + assert isinstance(mf6_wel, Mf6Wel) + + +def test_get_mf6_pkgs_for_metaswap__no_sprinkling( + coupling_dict: dict[str, str], coupled_mf6_model: Modflow6Simulation +): + coupling_dict.pop("mf6_msw_well_pkg") + mf6_dis, mf6_wel = MetaModMixin.get_mf6_pkgs_for_metaswap( + coupling_dict, coupled_mf6_model + ) + + assert isinstance(mf6_dis, StructuredDiscretization) + assert mf6_wel is None diff --git a/tests/test_primod/test_wel_svat_mapping.py b/tests/test_primod/test_wel_svat_mapping.py index 65f673a9..fffc9cba 100644 --- a/tests/test_primod/test_wel_svat_mapping.py +++ b/tests/test_primod/test_wel_svat_mapping.py @@ -3,7 +3,7 @@ import numpy as np import xarray as xr -from imod import mf6 +from imod.mf6.mf6_wel_adapter import Mf6Wel, cellid_from_arrays__structured from numpy.testing import assert_equal from primod.mapping.wel_svat_mapping import WellSvatMapping @@ -34,14 +34,12 @@ def test_simple_model(fixed_format_parser): index = (svat != 0).to_numpy().ravel() # Well - well_layer = [3, 2, 1] - well_row = [1, 2, 3] - well_column = [2, 2, 2] - well_rate = [-5.0] * 3 - well = mf6.WellDisStructured( - layer=well_layer, - row=well_row, - column=well_column, + cellid = cellid_from_arrays__structured( + layer=[3, 2, 1], row=[1, 2, 3], column=[2, 2, 2] + ) + well_rate = xr.DataArray([-5.0] * 3, coords={"index": [0, 1, 2]}, dims=("index",)) + well = Mf6Wel( + cellid=cellid, rate=well_rate, ) @@ -83,14 +81,10 @@ def test_simple_model_1_subunit(fixed_format_parser): index = (svat != 0).to_numpy().ravel() # Well - well_layer = [3, 2] - well_row = [1, 3] - well_column = [2, 2] - well_rate = [-5.0] * 2 - well = mf6.WellDisStructured( - layer=well_layer, - row=well_row, - column=well_column, + cellid = cellid_from_arrays__structured(layer=[3, 2], row=[1, 3], column=[2, 2]) + well_rate = xr.DataArray([-5.0] * 2, coords={"index": [0, 1]}, dims=("index",)) + well = Mf6Wel( + cellid=cellid, rate=well_rate, ) @@ -141,14 +135,14 @@ def test_simple_model_inactive(fixed_format_parser): index = (svat != 0).to_numpy().ravel() # Well - well_layer = [1, 3, 2, 1] - well_row = [1, 1, 2, 3] - well_column = [1, 2, 2, 2] - well_rate = [-5.0] * 4 - well = mf6.WellDisStructured( - layer=well_layer, - row=well_row, - column=well_column, + cellid = cellid_from_arrays__structured( + layer=[1, 3, 2, 1], row=[1, 1, 2, 3], column=[1, 2, 2, 2] + ) + well_rate = xr.DataArray( + [-5.0] * 4, coords={"index": [0, 1, 2, 3]}, dims=("index",) + ) + well = Mf6Wel( + cellid=cellid, rate=well_rate, )