{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Defining subdomains for different materials\n",
    "Author: Jørgen S. Dokken\n",
    "\n",
    "Solving PDEs in domains made up of different materials is frequently encountered task. In FEniCS-X, we handle these problems by defining a Discontinous cell-wise constant function.\n",
    "Such a function can be created over any mesh in the following way\n",
    "## Subdomains on built-in meshes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import dolfinx\n",
    "from mpi4py import MPI\n",
    "\n",
    "mesh = dolfinx.UnitSquareMesh(MPI.COMM_WORLD, 10, 10)\n",
    "Q = dolfinx.FunctionSpace(mesh, (\"DG\", 0))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will use a simple example with two materials in two dimensions to demonstrate the idea. The whole domain will be $\\Omega=[0,1]\\times[0,1]$, which consists of two subdomains \n",
    "$\\Omega_0=[0,1]\\times [0,1/2]$ and $\\Omega_1=[0,1]\\times[1/2, 1]$. We start by creating two python functions, where each returns `True` if the input coordinate is inside its domain."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def Omega_0(x):\n",
    "    return x[1] <= 0.5\n",
    "\n",
    "def Omega_1(x):\n",
    "    return x[1] >= 0.5"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that both fucntion uses a $\\leq$ or $\\geq$, as FEniCS-X will evaluate each cell at all of the vertices, and thus for has to return `True` for all vertices align with the interface to be marked properly.\n",
    "\n",
    "We will solve a variable-coefficient extension of the Poisson equation\n",
    "\n",
    "$$\n",
    "-\\nabla \\cdot [\\kappa (x,y)\\nabla u(x, y)]= 1 \\qquad \\text{in } \\Omega,\n",
    "$$\n",
    "$$\n",
    "u=u_D=1 \\qquad \\text{on } \\partial\\Omega_D=[0,y], y\\in[0,1]\n",
    "$$\n",
    "$$\n",
    "-\\frac{\\partial u}{\\partial n}=0 \\qquad \\text{on } \\partial\\Omega\\setminus \\partial\\Omega_D\n",
    "$$\n",
    "\n",
    "Our next step is to define $\\kappa$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "kappa = dolfinx.Function(Q)\n",
    "cells_0 = dolfinx.mesh.locate_entities(mesh, mesh.topology.dim, Omega_0)\n",
    "cells_1 = dolfinx.mesh.locate_entities(mesh, mesh.topology.dim, Omega_1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the previous code block, we found which cells (triangular elements) which satisfies the condition for being in $\\Omega_0, \\Omega_1$. As the $DG-0$ function contain only one degree of freedom per mesh, there is a one to one mapping between the cell indicies and the degrees of freedom. We let $\\kappa=\\begin{cases}\n",
    "1 &\\text{if } x\\in\\Omega_0\\\\\n",
    "0.1& \\text{if } x\\in\\Omega_1\\\\\n",
    "\\end{cases}$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "with kappa.vector.localForm() as loc:\n",
    "    loc.setValues(cells_0, np.full(len(cells_0), 1))\n",
    "    loc.setValues(cells_1, np.full(len(cells_1), 0.1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We are now ready to define our variational formulation and  Dirichlet boundary condition after using integration by parts "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import ufl\n",
    "V = dolfinx.FunctionSpace(mesh, (\"CG\", 1))\n",
    "u, v = ufl.TrialFunction(V), ufl.TestFunction(V)\n",
    "a = ufl.inner(kappa*ufl.grad(u), ufl.grad(v))*ufl.dx\n",
    "x = ufl.SpatialCoordinate(mesh)\n",
    "L = dolfinx.Constant(mesh, 1) * v * ufl.dx\n",
    "dofs = dolfinx.fem.locate_dofs_geometrical(V, lambda x: np.isclose(x[0], 0))\n",
    "u_D = dolfinx.Function(V)\n",
    "with u_D.vector.localForm() as loc:\n",
    "    loc.setValues(dofs, np.full(len(dofs), 1))\n",
    "bcs = [dolfinx.DirichletBC(u_D, dofs)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can now solve and visualize the solution of the problem"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=800x800 at 0x7FEF04EFC8E0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "problem = dolfinx.fem.LinearProblem(a, L, bcs=bcs, petsc_options={\"ksp_type\": \"preonly\", \"pc_type\": \"lu\"})\n",
    "uh = problem.solve()\n",
    "\n",
    "import pyvista\n",
    "# Start virtual framebuffer\n",
    "pyvista.start_xvfb(wait=0.0)\n",
    "\n",
    "import dolfinx.plot\n",
    "p = pyvista.Plotter(window_size=[800, 800], shape=(1,2))\n",
    "# Filter out ghosted cells\n",
    "num_cells_local = mesh.topology.index_map(mesh.topology.dim).size_local\n",
    "marker = np.zeros(num_cells_local, dtype=np.int32)\n",
    "cells_0 = cells_0[cells_0<num_cells_local]\n",
    "cells_1 = cells_1[cells_1<num_cells_local]\n",
    "marker[cells_0] = 1\n",
    "marker[cells_1] = 2\n",
    "topology, cell_types = dolfinx.plot.create_vtk_topology(mesh, mesh.topology.dim, np.arange(num_cells_local, dtype=np.int32))\n",
    "grid = pyvista.UnstructuredGrid(topology, cell_types, mesh.geometry.x)\n",
    "grid.cell_arrays[\"Marker\"] = marker\n",
    "grid.set_active_scalars(\"Marker\")\n",
    "p.subplot(0,0)\n",
    "actor0 = p.add_mesh(grid, show_edges=True)\n",
    "p.subplot(0,1)\n",
    "point_values = uh.compute_point_values()\n",
    "if np.iscomplexobj(point_values):\n",
    "    point_values = point_values.real\n",
    "grid.point_arrays[\"u\"] = point_values\n",
    "grid.set_active_scalars(\"u\")\n",
    "actor1 = p.add_mesh(grid, show_edges=True)\n",
    "if not pyvista.OFF_SCREEN:\n",
    "    p.show()\n",
    "figure = p.screenshot(\"subdomains_structured.png\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We clearly observe different behavior in the two regions, whose both has the same Dirichlet boundary condition on the left side, where $x=0$."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Interpolation with Python-function\n",
    "As we saw in the first approach, in many cases, we can use the geometrical coordinates to determine which coefficient we should use. Using the unstructured mesh from the previous example, we illustrate an alternative approach using interpolation:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "from petsc4py import PETSc\n",
    "def eval_kappa(x):\n",
    "    values = np.zeros(x.shape[1],dtype=PETSc.ScalarType)\n",
    "    # Create a boolean array indicating which dofs (corresponding to cell centers)\n",
    "    # that are in each domain\n",
    "    top_coords = x[1]>0.5 \n",
    "    bottom_coords = x[1]<0.5\n",
    "    values[top_coords] = np.full(sum(top_coords), 0.1)\n",
    "    values[bottom_coords] = np.full(sum(bottom_coords), 1)\n",
    "    return values\n",
    "kappa2 = dolfinx.Function(Q)\n",
    "kappa2.interpolate(eval_kappa)\n",
    "dolfinx.cpp.la.scatter_forward(kappa2.x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We verify this by assembling the error between this new function and the old one"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0\n"
     ]
    }
   ],
   "source": [
    "# Difference in kappa's\n",
    "error = mesh.mpi_comm().allreduce(dolfinx.fem.assemble_scalar((kappa-kappa2)**2*ufl.dx))\n",
    "print(error)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Subdomains defined from external mesh data\n",
    "Let us now consider the same problem, but using GMSH to generate the mesh and subdomains. We will then in turn show how to use this data to generate discontinuous functions in dolfin-X."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "import gmsh\n",
    "gmsh.initialize()\n",
    "proc = MPI.COMM_WORLD.rank \n",
    "top_marker = 2\n",
    "bottom_marker = 1\n",
    "left_marker = 1\n",
    "if proc == 0:\n",
    "    # We create one rectangle for each subdomain\n",
    "    gmsh.model.occ.addRectangle(0, 0, 0, 1, 0.5, tag=1)\n",
    "    gmsh.model.occ.addRectangle(0, 0.5, 0, 1, 0.5, tag=2)\n",
    "    # We fuse the two rectangles and keep the interface between them \n",
    "    gmsh.model.occ.fragment([(2,1)],[(2,2)])\n",
    "    gmsh.model.occ.synchronize()\n",
    "   \n",
    "    # Mark the top (2) and bottom (1) rectangle\n",
    "    top, bottom = None, None\n",
    "    for surface in gmsh.model.getEntities(dim=2):\n",
    "        com = gmsh.model.occ.getCenterOfMass(surface[0], surface[1])\n",
    "        if np.allclose(com, [0.5,0.25, 0]):\n",
    "            bottom = surface[1]\n",
    "        else:\n",
    "            top = surface[1]\n",
    "    gmsh.model.addPhysicalGroup(2, [bottom], bottom_marker)\n",
    "    gmsh.model.addPhysicalGroup(2, [top], top_marker)\n",
    "    # Tag the left boundary\n",
    "    left = []\n",
    "    for line in gmsh.model.getEntities(dim=1):\n",
    "        com = gmsh.model.occ.getCenterOfMass(line[0], line[1])\n",
    "        if np.isclose(com[0], 0):\n",
    "            left.append(line[1])\n",
    "    gmsh.model.addPhysicalGroup(1, left, left_marker)\n",
    "    gmsh.model.mesh.generate(2)\n",
    "    gmsh.write(\"mesh.msh\")\n",
    "gmsh.finalize()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Convert msh-files to XDMF using meshio\n",
    "We will use `meshio` to read in the `msh` file, and convert it to a more suitable IO format. Meshio requires `h54py`, and can be installed on linux with the following commands:\n",
    "```{code}\n",
    "export HDF5_MPI=\"ON\"\n",
    "export CC=mpicc\n",
    "export HDF5_DIR=\"/usr/lib/x86_64-linux-gnu/hdf5/mpich/\"\n",
    "pip3 install --no-cache-dir --no-binary=h5py h5py meshio\n",
    "```\n",
    "We start by creating a convenience function for extracting data for a single cell type, and creating a new `meshio.Mesh`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "import meshio\n",
    "def create_mesh(mesh, cell_type, prune_z=False):\n",
    "    cells = mesh.get_cells_type(cell_type)\n",
    "    cell_data = mesh.get_cell_data(\"gmsh:physical\", cell_type)\n",
    "    out_mesh = meshio.Mesh(points=mesh.points, cells={cell_type: cells}, cell_data={\"name_to_read\":[cell_data]})\n",
    "    if prune_z:\n",
    "        out_mesh.prune_z_0()\n",
    "    return out_mesh"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This function returns a meshio mesh, including physical markers for the given type. The `prune_z` argument is for cases where we want to use two dimensional meshes. The last coordinate in the mesh (as it is generated in a 3D space) has to be removed for dolfin-X to consider this as a two dimensional geometry."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "if proc == 0:\n",
    "    # Read in mesh\n",
    "    msh = meshio.read(\"mesh.msh\")\n",
    "   \n",
    "    # Create and save one file for the mesh, and one file for the facets \n",
    "    triangle_mesh = create_mesh(msh, \"triangle\", prune_z=True)\n",
    "    line_mesh = create_mesh(msh, \"line\", prune_z=True)\n",
    "    meshio.write(\"mesh.xdmf\", triangle_mesh)\n",
    "    meshio.write(\"mt.xdmf\", line_mesh)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have now written the mesh and the cell markers to one file, and the facet markers in a separate file. We can now read this data in dolfin-X using `XDMFFile.read_mesh` and `XDMFFile.read_meshtags`. The `dolfinx.MeshTags` stores the index of the entity, along with the value of the marker in two one dimensional arrays.\n",
    "\n",
    "Note that we have generated and written the mesh on only one processor. However, the `xdmf`-format supports parallel IO, and we can thus read the mesh in parallel."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import dolfinx.io\n",
    "with dolfinx.io.XDMFFile(MPI.COMM_WORLD, \"mesh.xdmf\", \"r\") as xdmf:\n",
    "    mesh = xdmf.read_mesh(name=\"Grid\")\n",
    "    ct = xdmf.read_meshtags(mesh, name=\"Grid\")\n",
    "mesh.topology.create_connectivity(mesh.topology.dim, mesh.topology.dim-1)\n",
    "with dolfinx.io.XDMFFile(MPI.COMM_WORLD, \"mt.xdmf\", \"r\") as xdmf:\n",
    "    ft = xdmf.read_meshtags(mesh, name=\"Grid\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have now read in the mesh and corresponding cell and facet data. We can now create our discontinuous function `kappa` as follows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "Q = dolfinx.FunctionSpace(mesh, (\"DG\", 0))\n",
    "kappa = dolfinx.Function(Q)\n",
    "with kappa.vector.localForm() as loc:\n",
    "    bottom_cells = ct.indices[ct.values==bottom_marker]\n",
    "    loc.setValues(bottom_cells, np.full(len(bottom_cells), 1))\n",
    "    top_cells = ct.indices[ct.values==top_marker]\n",
    "    loc.setValues(top_cells, np.full(len(top_cells), 0.1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also efficiently use the facet data `ft` to create the Dirichlet boundary condition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "V = dolfinx.FunctionSpace(mesh, (\"CG\", 1))\n",
    "u_bc = dolfinx.Function(V)\n",
    "left_facets = ft.indices[ft.values==left_marker]\n",
    "left_dofs = dolfinx.fem.locate_dofs_topological(V, mesh.topology.dim-1, left_facets)\n",
    "with u_bc.vector.localForm() as loc:\n",
    "    loc.setValues(left_dofs, np.full(len(left_dofs), 1))\n",
    "bcs = [dolfinx.DirichletBC(u_bc, left_dofs)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can now solve the problem in a similar fashion as above"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=800x800 at 0x7FEEF02D8A60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import ufl\n",
    "u, v = ufl.TrialFunction(V), ufl.TestFunction(V)\n",
    "a = ufl.inner(kappa*ufl.grad(u), ufl.grad(v))*ufl.dx\n",
    "x = ufl.SpatialCoordinate(mesh)\n",
    "L = dolfinx.Constant(mesh, 1) * v * ufl.dx\n",
    "\n",
    "problem = dolfinx.fem.LinearProblem(a, L, bcs=bcs, petsc_options={\"ksp_type\": \"preonly\", \"pc_type\": \"lu\"})\n",
    "uh = problem.solve()\n",
    "\n",
    "# As the dolfinx.MeshTag contains a value for every cell in the\n",
    "# geometry, we can attach it directly to the grid\n",
    "\n",
    "topology, cell_types = dolfinx.plot.create_vtk_topology(mesh, mesh.topology.dim)\n",
    "grid = pyvista.UnstructuredGrid(topology, cell_types, mesh.geometry.x)\n",
    "num_local_cells = mesh.topology.index_map(mesh.topology.dim).size_local\n",
    "grid.cell_arrays[\"Marker\"] = ct.values[ct.indices<num_local_cells]\n",
    "grid.set_active_scalars(\"Marker\")\n",
    "\n",
    "p = pyvista.Plotter(window_size=[800, 800], shape=(1,2))\n",
    "p.subplot(0,0)\n",
    "p.add_mesh(grid, show_edges=True)\n",
    "p.subplot(0,1)\n",
    "point_values = uh.compute_point_values()\n",
    "if np.iscomplexobj(point_values):\n",
    "    point_values = point_values.real\n",
    "grid.point_arrays[\"u\"] = point_values\n",
    "grid.set_active_scalars(\"u\")\n",
    "actor1 = p.add_mesh(grid, show_edges=True)\n",
    "if not pyvista.OFF_SCREEN:\n",
    "    p.show()\n",
    "figure = p.screenshot(\"subdomains_unstructured.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}