#!/usr/bin/env julia
#
# sim_sanity.jl — verify the Julia port matches the MATLAB result.
#
# Reproduces main.m Run 2 (ctrl_operation under 100% -> 80% Q_sg step)
# and prints the final state, which should agree with MATLAB to ~1e-3.

using Pkg
Pkg.activate(joinpath(@__DIR__, "..", ".."))

using OrdinaryDiffEq

include(joinpath(@__DIR__, "..", "..", "src", "pke_params.jl"))
include(joinpath(@__DIR__, "..", "..", "src", "pke_th_rhs.jl"))
include(joinpath(@__DIR__, "..", "..", "controllers", "controllers.jl"))

plant = pke_params()
x0    = pke_initial_conditions(plant)

Q_sg = t -> plant.P0 * (1.0 - 0.2 * (t >= 30))
ref  = (; T_avg = plant.T_c0)

function rhs!(dx, x, p, t)
    u = ctrl_operation(t, x, plant, ref)
    pke_th_rhs!(dx, x, t, plant, Q_sg, u)
end

prob = ODEProblem(rhs!, x0, (0.0, 600.0))
sol  = solve(prob, Rodas5(); reltol=1e-8, abstol=1e-10)

xf = sol.u[end]
CtoF(T) = T * 9/5 + 32
println("\n=== Julia port sanity — ctrl_operation under 100% -> 80% Q_sg step ===")
println("  Final t = ", sol.t[end])
println("  n       = $(round(xf[1]; digits=4))   (expect ~0.800)")
println("  T_f     = $(round(CtoF(xf[8]); digits=2)) F   (expect ~616.6)")
println("  T_avg   = $(round(CtoF(xf[9]); digits=2)) F   (expect ~587.8)")
println("  T_cold  = $(round(CtoF(xf[10]); digits=2)) F   (expect ~561.4)")
u_final = ctrl_operation(sol.t[end], xf, plant, ref)
println("  u       = $(round(u_final/plant.beta; digits=4)) \$   (expect ~-0.0068)")
