Source code for imod.mf6.model

import abc
import collections
import pathlib

import cftime
import jinja2
import numpy as np

from imod.mf6 import qgs_util

class Modflow6Model(collections.UserDict, abc.ABC):

    _pkg_id = "model"

    def __setitem__(self, key, value):
        # TODO: Add packagecheck
        if len(key) > 16:
            raise KeyError(
                "MODFLOW6 does not support package names longer than 16 characters."
        super().__setitem__(key, value)

    def update(self, *args, **kwargs):
        for k, v in dict(*args, **kwargs).items():
            self[k] = v

    def _initialize_template(self, name: str):
        loader = jinja2.PackageLoader("imod", "templates/mf6")
        env = jinja2.Environment(loader=loader, keep_trailing_newline=True)
        self._template = env.get_template(name)

    def _get_pkgkey(self, pkg_id):
        Get package key that belongs to a certain pkg_id, since the keys are
        user specified.
        key = [pkgname for pkgname, pkg in self.items() if pkg._pkg_id == pkg_id]
        nkey = len(key)
        if nkey > 1:
            raise ValueError(f"Multiple instances of {key} detected")
        elif nkey == 1:
            return key[0]
            return None

    def _check_for_required_packages(self, modelkey: str) -> None:
        # Check for mandatory packages
        pkg_ids = set([pkg._pkg_id for pkg in self.values()])
        dispresent = "dis" in pkg_ids or "disv" in pkg_ids or "disu" in pkg_ids
        if not dispresent:
            raise ValueError(f"No dis/disv/disu package found in model {modelkey}")
        for required in self._mandatory_packages:
            if required not in pkg_ids:
                raise ValueError(f"No {required} package found in model {modelkey}")

    def _use_cftime(self):
        Also checks if datetime types are homogeneous across packages.
        types = [
            for pkg in self.values()
            if "time" in pkg.dataset.coords
        set_of_types = set(types)
        # Types will be empty if there's no time dependent input
        if len(set_of_types) == 0:
            return False
        else:  # there is time dependent input
            if not len(set_of_types) == 1:
                raise ValueError(
                    f"Multiple datetime types detected: {set_of_types}"
                    "Use either cftime or numpy.datetime64[ns]."
            # Since we compare types and not instances, we use issubclass
            if issubclass(types[0], cftime.datetime):
                return True
            elif issubclass(types[0], np.datetime64):
                return False
                raise ValueError("Use either cftime or numpy.datetime64[ns].")

    def _yield_times(self):
        modeltimes = []
        for pkg in self.values():
            if "time" in pkg.dataset.coords:
        return modeltimes

    def render(self, modelname: str):
        dir_for_render = pathlib.Path(modelname)
        d = {k: v for k, v in self.options.items() if not (v is None or v is False)}
        packages = []
        for pkgname, pkg in self.items():
            # Add the six to the package id
            pkg_id = pkg._pkg_id
            key = f"{pkg_id}6"
            path = dir_for_render / f"{pkgname}.{pkg_id}"
            packages.append((key, path.as_posix(), pkgname))
        d["packages"] = packages
        return self._template.render(d)

    def write(self, directory, modelname, globaltimes, binary=True):
        Write model namefile
        Write packages
        workdir = pathlib.Path(directory)
        modeldirectory = workdir / modelname
        modeldirectory.mkdir(exist_ok=True, parents=True)

        # write model namefile
        namefile_content = self.render(modelname)
        namefile_path = modeldirectory / f"{modelname}.nam"
        with open(namefile_path, "w") as f:

        # write package contents
        for pkgname, pkg in self.items():

[docs]class GroundwaterFlowModel(Modflow6Model): _mandatory_packages = ("npf", "ic", "oc", "sto") _model_type = "gwf6"
[docs] def __init__( self, listing_file: str = None, print_input: bool = False, print_flows: bool = False, save_flows: bool = False, newton: bool = False, under_relaxation: bool = False, ): super().__init__() # TODO: probably replace by a pydantic BaseModel self.options = { "listing_file": listing_file, "print_input": print_input, "print_flows": print_flows, "save_flows": save_flows, "newton": newton, "under_relaxation": under_relaxation, } self._initialize_template("gwf-nam.j2")
def write_qgis_project(self, directory, crs, aggregate_layers=False): """ Write qgis projectfile and accompanying netcdf files that can be read in qgis. Parameters ---------- directory : Path directory of qgis project crs : str, int, anything that can be converted to a filename : Optional, str name of qgis projectfile. aggregate_layers : Optional, bool If True, aggregate layers by taking the mean, i.e. ds.mean(dim="layer") """ ext = ".qgs" directory = pathlib.Path(directory) directory.mkdir(exist_ok=True, parents=True) pkgnames = [ pkgname for pkgname, pkg in self.items() if all(i in pkg.dataset.dims for i in ["x", "y"]) ] data_paths = [] data_vars_ls = [] for pkgname in pkgnames: pkg = self[pkgname].rio.write_crs(crs) data_path = pkg._netcdf_path(directory, pkgname) data_path = "./" + data_path.relative_to(directory).as_posix() data_paths.append(data_path) # FUTURE: MDAL has matured enough that we do not necessarily # have to write seperate netcdfs anymore data_vars_ls.append( pkg.write_netcdf(directory, pkgname, aggregate_layers=aggregate_layers) ) qgs_tree = qgs_util._create_qgis_tree( self, pkgnames, data_paths, data_vars_ls, crs ) qgs_util._write_qgis_projectfile(qgs_tree, directory / ("qgis_proj" + ext))
class GroundwaterTransportModel(Modflow6Model): """ The GroundwaterTransportModel (GWT) simulates transport of a single solute species flowing in groundwater. """ _mandatory_packages = ("mst", "dsp", "oc", "ic") _model_type = "gwt6" def __init__( self, listing_file: str = None, print_input: bool = False, print_flows: bool = False, save_flows: bool = False, ): super().__init__() self.options = { "listing_file": listing_file, "print_input": print_input, "print_flows": print_flows, "save_flows": save_flows, } self._initialize_template("gwt-nam.j2")