from __future__ import print_function, division
import sys, petsc4py
petsc4py.init(sys.argv)
import mpi4py.MPI as mpi
from petsc4py import PETSc
import numpy as np
from elasticity import *

def rhs(coords, rhs):
    rhs[..., 1] = -9.81

OptDB = PETSc.Options()
Lx = OptDB.getInt('Lx', 10)
Ly = OptDB.getInt('Ly', 1)
n  = OptDB.getInt('n', 16)
nx = OptDB.getInt('nx', Lx*n)
ny = OptDB.getInt('ny', Ly*n)

hx = Lx/(nx - 1)
hy = Ly/(ny - 1)

da = PETSc.DMDA().create([nx, ny], dof=2, stencil_width=1)
da.setUniformCoordinates(xmax=Lx, ymax=Ly)

# constant young modulus
E = 30000
# constant Poisson coefficient
nu = 0.4

lamb = (nu*E)/((1+nu)*(1-2*nu)) 
mu = .5*E/(1+nu)

x = da.createGlobalVec()
b = buildRHS(da, [hx, hy], rhs)
A = buildElasticityMatrix(da, [hx, hy], lamb, mu)
A.assemble()

bcApplyWest(da, A, b)

ksp = PETSc.KSP().create()
ksp.setOperators(A)
ksp.setType("cg")
ksp.setInitialGuessNonzero(True)
pc = ksp.pc
pc.setType('none')
ksp.setFromOptions()

ksp.solve(b, x)

cg(A, b)