using Plots
using CSV
pyplot()

file_measure = joinpath(@__DIR__, "data", "linear_x2.csv")
file_input = joinpath(@__DIR__, "data", "input_linear_x2.csv")

measure = CSV.read(file_measure, header=false) |> Matrix{Float64};
command = CSV.read(file_input, header=false) |> Matrix{Float64};

init_measure = 1
end_measure = 20
init_command = 30

for (i,t) in enumerate(measure[:,1])
    global init_measure = i
    if t >= command[init_command,1]
        break
    end
end

plot(
    measure[init_measure:end-end_measure,1],
    measure[init_measure:end-end_measure,2],
    title="Réponse indicielle de la boucle interne",
    reuse=false,
    size=(1000, 600),
    label="mesure"
)
plot!(
    command[init_command:end,1],
    command[init_command:end,2],
    label="commande"
)
savefig(joinpath(@__DIR__, "results", "internal_tuns.eps"))

show()