# This file is a part of JuliaFEM.
# License is MIT: see https://github.com/JuliaFEM/JuliaFEM.jl/blob/master/LICENSE.md

using JuliaFEM
using JuliaFEM.Preprocess
using JuliaFEM.Testing

@testset "test 2d nonlinear residual" begin
    X = Dict{Int64, Vector{Float64}}(
        1 => [0.0, 0.0],
        2 => [1.0, 0.0],
        3 => [1.0, 1.0],
        4 => [0.0, 1.0])
    u = Dict{Int64, Vector{Float64}}(
        1 => [0.1, 0.2],
        2 => [0.3, 0.4],
        3 => [0.5, 0.6],
        4 => [0.7, 0.8])
    T = Dict{Int64, Vector{Float64}}(
        3 => [0.0, 288.0],
        4 => [0.0, 288.0])
    element = Element(Quad4, [1, 2, 3, 4])
    update!(element, "geometry", X)
    update!(element, "displacement", u)
    update!(element, "youngs modulus", 288.0)
    update!(element, "poissons ratio", 1/3)
    traction = Element(Seg2, [3, 4])
    update!(traction, "geometry", X)
    update!(traction, "displacement", u)
    update!(traction, "displacement traction force", T)

    # field problem
    block = Problem(Elasticity, "BLOCK", 2)
    block.properties.formulation = :plane_stress
    block.properties.finite_strain = true
    block.properties.geometric_stiffness = true
    push!(block, element)
    #push!(block, traction)
    assemble!(block, 0.0)
    Km = full(block.assembly.K)
    Kg = full(block.assembly.Kg)
    K = Km + Kg
    f = full(block.assembly.f)

    K_expected = [
      401.76   200.88  -123.12    -5.76  -191.52  -117.36  -87.12   -77.76
      200.88   473.76    -5.76    28.08  -117.36  -205.92  -77.76  -295.92
     -123.12    -5.76   197.28    -2.16   -12.24   -25.92  -61.92    33.84
       -5.76    28.08    -2.16   298.08   -25.92  -163.44   33.84  -162.72
     -191.52  -117.36   -12.24   -25.92   240.48   120.24  -36.72    23.04
     -117.36  -205.92   -25.92  -163.44   120.24   312.48   23.04    56.88
      -87.12   -77.76   -61.92    33.84   -36.72    23.04  185.76    20.88
      -77.76  -295.92    33.84  -162.72    23.04    56.88   20.88   401.76]
#   f_expected = [142.272, 214.272, -13.824, 58.176, -75.456, 19.584, -52.992, -4.032]
    f_expected = [142.272, 214.272, -13.824, 58.176, -75.456, -124.416, -52.992, -148.032]
    @test isapprox(K, K_expected)
    @test isapprox(f, f_expected)
end