# Copyright (c) 2012-2024, OpenGeoSys Community (http://www.opengeosys.org)
# Distributed under a Modified BSD License.
# See accompanying file LICENSE.txt or
# http://www.opengeosys.org/project/license
#
import tempfile
from pathlib import Path
import numpy as np
import pyvista as pv
from ogs import cli
from typeguard import typechecked
[docs]
class Surface:
"""
A surface is a sub group of a polygon mesh (2D). A surface is not closed and therefore does not represent a volume.
(Geological) layers (stratigraphic units) can be defined by an upper and lower surface.
By convention, properties (material_id and resolution ), actually associated to the stratigraphic unit layer,
are given together with the lower boundary (class Surface) of a stratigraphic unit (class Layer).
"""
@property
def material_id(self) -> int:
return self._material_id
[docs]
@typechecked
def __init__(self, input: Path | pv.DataObject, material_id: int):
"""Initialize a surface mesh. Either from pyvista or from a file."""
self._material_id = material_id
if isinstance(input, Path):
self.filename = input
if self.filename.exists() is False:
msg = f"{self.filename} does not exist."
raise ValueError(msg)
self.mesh = pv.get_reader(self.filename).read()
elif isinstance(input, pv.DataObject):
self.mesh = input
self.filename = Path(tempfile.mkstemp(".vtu", "surface")[1])
pv.save_meshio(self.filename, self.mesh, file_format="vtu")
self.mesh.cell_data["MaterialIDs"] = (
np.ones(self.mesh.n_cells) * self.material_id
).astype(np.int32)
def __eq__(self, other: object) -> bool:
return self.__dict__ == other.__dict__
[docs]
def create_raster_file(self, resolution: float) -> Path:
"""
Creates a raster file specific to resolution. If outfile is not specified, the extension is replaced by .asc
:returns the path and filename of the created file (.asc)
"""
outfile = Path(tempfile.mkstemp(".asc", self.filename.stem)[1])
ret = cli.Mesh2Raster(
i=str(self.filename), o=str(outfile), c=resolution
)
if ret:
msg = (
"Mesh2Raster -i ",
str(self.filename),
" -o ",
str(outfile),
" -c ",
str(resolution),
)
raise ValueError(msg)
return outfile
[docs]
def Gaussian2D(
bound2D: tuple,
amplitude: float,
spread: float,
height_offset: float,
n: int,
) -> pv.DataSet:
"""
Generate a 2D Gaussian-like surface using the provided parameters.
This method computes a 2D Gaussian-like surface by sampling the given bound and parameters.
Args:
bound2D (tuple): Tuple of boundary coordinates (x_min, x_max, y_min, y_max).
amplitude (float): Amplitude or peak value of the Gaussian curve.
spread (float): Scaling factor that controls the spread or width of the Gaussian curve.
height_offset (float): Constant offset added to elevate the entire surface.
n (int): Number of points in each dimension for sampling.
Returns:
pyvista.PolyData: A PyVista PolyData object representing the generated surface.
Note:
- The larger `amplitude`, the taller the peak of the surface.
- The larger `spread`, the wider and flatter the surface.
- `height_offset` shifts the entire surface vertically.
Example:
Generating a 2D Gaussian-like surface:
```
bound = (-1.0, 1.0, -1.0, 1.0)
amplitude = 1.0
spread = 0.5
height_offset = 0.0
n = 100
surface = MyClass.Gaussian2D(bound, amplitude, spread, height_offset, n)
```
"""
x = np.linspace(bound2D[0], bound2D[1], num=n)
y = np.linspace(bound2D[2], bound2D[3], num=n)
xx, yy = np.meshgrid(x, y)
zz = (
amplitude * np.exp(-0.5 * ((xx / spread) ** 2.0 + (yy / spread) ** 2.0))
+ height_offset
)
points = np.c_[xx.reshape(-1), yy.reshape(-1), zz.reshape(-1)]
points[0:5, :]
cloud = pv.PolyData(points)
return cloud.delaunay_2d()
