Currently working on refactor, much work to do

julia/test/inner_loop/phase.jl

@@ -0,0 +1,39 @@
+@testset "Phase" begin
+
+  println("Testing NLP solver")
+
+  using NLsolve, PlotlyJS
+
+  # Initial Setup
+  T = rand( 2hour : second : 12hour)
+  revs = 5
+  n = 10revs
+  start_mass = 12_000.
+
+  # A simple orbit raising
+  start = gen_orbit(T, start_mass, Earth)
+  thrust = spiral(0.9, n, start, test_sc, revs*T, Earth)
+  final = prop(thrust, start, test_sc, revs*T, Earth)[2]
+  new_T = 2π * √( xyz_to_oe(final, Earth.μ)[1]^3 / Earth.μ )
+
+  # This should be close enough to converge
+  thrust_guess = spiral(0.88, n, start, test_sc, revs*T, Earth)
+  result = solve_phase(start, final, test_sc, revs*T, thrust_guess, Earth)
+  calc_path, calc_final = prop(result.zero, start, test_sc, revs*T, Earth)
+
+  # Test
+  @test converged(result)
+  @test norm(calc_final[1:6] - final[1:6]) < 1e-5
+
+  # Plot
+  paths = Pathlist()
+  push!(paths, prop(start, T, Earth),
+               calc_path,
+               prop(calc_final, T, Earth),
+               prop(final, T, Earth) )
+  fig = plot_orbits(paths, Earth,
+                    labels=["init", "transit", "post-transit", "final"],
+                    colors=["#FFF","#F44","#4F4","#44F"])
+  savefig(fig, "../plots/nlp_test.html")
+
+end