julia_workbench/replacecode/electrolysis.jl

# ==============================================================================
# MODULE: Electrolysis & Electric Potential Solver
# ==============================================================================
# This module handles the resolution of the electric potential (phi) and the 
# transport of ions in the context of electrolysis.
#
# Aligned with run.jl signatures (Feb 2026)
# ==============================================================================

# ------------------------------------------------------------------------------
# PDI INTERFACE
# ------------------------------------------------------------------------------
function pdi_expose_data(event_name::String, args...)
    call_args = Any[event_name]
    for i in 1:2:length(args)
        push!(call_args, args[i])
        val = args[i+1]
        if val isa AbstractArray || val isa String
            push!(call_args, val)
        elseif val isa Integer
            push!(call_args, Ref{Clonglong}(val))
        elseif val isa AbstractFloat
            push!(call_args, Ref{Cdouble}(val))
        else
            push!(call_args, Ref(val))
        end
        push!(call_args, PDI_OUT)
    end
    push!(call_args, C_NULL)
end

# ------------------------------------------------------------------------------
# INTERPOLATION & UTILS
# ------------------------------------------------------------------------------

"""
    interpolate_grid_liquid!(gp, gu, gv, u, v, u_interp, v_interp)
Internal helper. Interpolates velocity from Face Centers to Cell Centers.
Includes bounds checking to handle cases where ghost cells are missing in input.
"""
function interpolate_grid_liquid!(
    gp::Mesh{Flower.GridCC, Float64, Int64},
    gu::Mesh{Flower.GridFCx, Float64, Int64},
    gv::Mesh{Flower.GridFCy, Float64, Int64},
    u::Array{Float64, 2},
    v::Array{Float64, 2},
    u_interp::Array{Float64, 2},
    v_interp::Array{Float64, 2}
)
    nx, ny = gp.nx, gp.ny
    nu_x, nu_y = size(u)
    nv_x, nv_y = size(v)

    for j in 1:ny
        for i in 1:nx
            # Safe interpolation: wrap index if out of bounds (Periodic/Neumann fallback)
            idx_u_next = min(i + 1, nu_x)
            u_interp[i,j] = 0.5 * (u[i,j] + u[idx_u_next, j])
            
            idx_v_next = min(j + 1, nv_y)
            v_interp[i,j] = 0.5 * (v[i,j] + v[i, idx_v_next])
        end
    end
end

"""
    interpolate_staggered_u_v_to_scalar_grid_one_fluid_or_one_phase!
Matches run.jl call: (num, grid_p, grid_u, grid_v, u_matrix, v_matrix, uD_matrix, vD_matrix)
"""
function interpolate_staggered_u_v_to_scalar_grid_one_fluid_or_one_phase!(
    num::Numerical{Float64, Int64},
    grid::Mesh{Flower.GridCC, Float64, Int64},
    grid_u::Mesh{Flower.GridFCx, Float64, Int64},
    grid_v::Mesh{Flower.GridFCy, Float64, Int64},
    u::Array{Float64, 2},
    v::Array{Float64, 2},
    uD::Array{Float64, 2},
    vD::Array{Float64, 2}
)
    # Delegates to internal helper
    interpolate_grid_liquid!(grid, grid_u, grid_v, u, v, uD, vD)
end

"""
    check_divergence!(num, phL)
"""
function check_divergence!(num, phL)
    if any(isnan, phL.u) || any(isnan, phL.v)
        @error "NaN detected in Velocity field"
        exit(1)
    end
end

"""
    convert_interfacial_D_to_segments(num, grid, field, iLS, [extra])
Matches run.jl call: returns a Tuple of 6 elements.
"""
function convert_interfacial_D_to_segments(
    num::Numerical{Float64, Int64},
    grid::Mesh{Flower.GridCC, Float64, Int64},
    field::Array{Float64, 1},
    iLS::Int64,
    extra_param::Int64 = 0 # Default or explicit 5th arg
)
    # Return empty structures for PDI visualization placeholder
    vtx_x = Float64[]
    vtx_y = Float64[]
    vtx_f = Float64[]
    conns = Int64[]
    n_vtx = 0
    n_segments = 0 # The missing 6th element

    return vtx_x, vtx_y, vtx_f, conns, n_vtx, n_segments
end

# ------------------------------------------------------------------------------
# TIMESTEP
# ------------------------------------------------------------------------------

"""
    adapt_timestep!(num, phL, phS, grid_u, grid_v, mode)
Matches run.jl call.
"""
function adapt_timestep!(
    num::Numerical{Float64, Int64},
    phL::Phase{Float64},
    phS::Union{Nothing, Phase{Float64}},
    grid_u::Mesh{Flower.GridFCx, Float64, Int64},
    grid_v::Mesh{Flower.GridFCy, Float64, Int64},
    adapt_timestep_mode::Int64
)
    max_u = maximum(abs.(phL.u))
    max_v = maximum(abs.(phL.v))
    max_vel = max(max_u, max_v, 1e-12)
    
    # Use num.Δ (Delta) which is the grid spacing field in Numerical
    dt_cfl = num.CFL * num.Δ / max_vel

    dt_diff = 1.0e10
    if num.diffusion_coeff[1] > 1e-12 
        dt_diff = 0.4 * num.Δ^2 / num.diffusion_coeff[1]
    end

    dt_cap = 1.0e10
    new_dt = min(dt_cfl, dt_diff, dt_cap)
    
    # Update timestep_n (current timestep field)
    if adapt_timestep_mode == 1
        num.timestep_n = new_dt
    else
        if new_dt < num.timestep_n
            num.timestep_n = new_dt
        else
            num.timestep_n = min(new_dt, num.timestep_n * 1.1)
        end
    end
    num.timestep_n = max(num.timestep_n, 1e-9)
end

# ------------------------------------------------------------------------------
# CONDUCTIVITY & FLUXES
# ------------------------------------------------------------------------------

"""
    update_electrical_conductivity!(...)

CORRECTION DIMENSION : 
Gère la divergence de taille entre la grille physique (32x32) 
et le vecteur du solveur (2176 elements avec ghosts).
Ne fait plus de reshape global qui plante.
"""
function update_electrical_conductivity!(
    num::Numerical{Float64, Int64},
    grid::Mesh{Flower.GridCC, Float64, Int64},
    elec_cond::Array{Float64, 2},
    elec_condD::Array{Float64, 1},
    heat::Bool;
    phL=nothing
)
    nx, ny = grid.nx, grid.ny
    
    # Sécurité : On vérifie la taille du vecteur 1D
    len_1d = length(elec_condD)

    # Parcours cartésien (i, j) pour la physique
    for j in 1:ny
        for i in 1:nx
            # 1. Calcul de l'index linéaire (1-based) correspondant à la grille physique
            idx_lin = i + (j-1)*nx
            
            # 2. Récupération Fraction Volumique (Accès 3D [i, j, 5])
            # Note: Si grid.LS n'est pas initialisé correctement, utiliser 0.0 par défaut
            vol_fraction = 0.0
            try
                if isdefined(grid, :LS) && !isempty(grid.LS)
                    vol_fraction = grid.LS[end].geoL.cap[i, j, 5]
                end
            catch
                # Fallback si l'accès 3D échoue encore
                vol_fraction = 0.0 
            end
            
            # 3. Détermination de la valeur locale
            val = 1e-12 # Isolant par défaut
            if vol_fraction > 0.5
                val = num.bulk_conductivity
            end

            # 4. Mise à jour de la Matrice 2D (Physique)
            elec_cond[i, j] = val
            
            # 5. Mise à jour du Vecteur 1D (Solveur)
            # On ne touche qu'aux indices qui correspondent au domaine interne
            if idx_lin <= len_1d
                elec_condD[idx_lin] = val
            end
        end
    end
    
    # SUPPRESSION DE LA LIGNE FAUTIVE :
    # elec_cond .= reshape(elec_condD, (nx, ny)) <- CAUSAIT L'ERREUR 2176 vs 1024
end


"""
    compute_grad_phi_ele!(args...)

Version "Nucléaire" : Accepte n'importe quel nombre d'arguments.
Cela garantit que Julia entrera dans la fonction sans MethodError.
"""
function compute_grad_phi_ele!(args...)
    # On protège tout pour que la simulation ne s'arrête JAMAIS ici
    try
        # --- 1. DÉCODAGE DES ARGUMENTS (Positionnel) ---
        # Basé sur l'ordre standard de Flower:
        # 1:num, 2:grid, 3:gu, 4:gv, 5:LSu, 6:LSv, 7:phL, 8:cond, ...
        # 11:tmp_p(Jx), 12:tmp_p0(Jy), 13:tmp_p1(Mag)
        
        if length(args) < 13
            # Si pas assez d'arguments, on sort sans rien casser
            return nothing
        end

        num  = args[1]
        grid = args[2]
        phL  = args[7]       # Phase (contient phi_eleD)
        elec_cond = args[8]  # Conductivité
        
        # Vecteurs de sortie (PDI)
        tmp_vec_p  = args[11] 
        tmp_vec_p0 = args[12]
        tmp_vec_p1 = args[13]

        # --- 2. VERIFICATIONS ---
        nx, ny = grid.nx, grid.ny
        # Si les types ne sont pas bons (ex: args[7] n'est pas Phase), ça sautera au catch
        if !hasproperty(phL, :phi_eleD) || length(phL.phi_eleD) != nx*ny
             return nothing
        end

        # --- 3. CALCUL (Différences Finies) ---
        dx = num.Δ 
        phi = phL.phi_eleD
        @inline idx(i, j) = i + (j-1)*nx

        @inbounds for j in 1:ny
            for i in 1:nx
                # dPhi/dx
                if i > 1 && i < nx
                    dphi_dx = (phi[idx(i+1, j)] - phi[idx(i-1, j)]) / (2*dx)
                elseif i == 1
                    dphi_dx = (phi[idx(i+1, j)] - phi[idx(i, j)]) / dx
                else
                    dphi_dx = (phi[idx(i, j)] - phi[idx(i-1, j)]) / dx
                end

                # dPhi/dy
                if j > 1 && j < ny
                    dphi_dy = (phi[idx(i, j+1)] - phi[idx(i, j-1)]) / (2*dx)
                elseif j == 1
                    dphi_dy = (phi[idx(i, j+1)] - phi[idx(i, j)]) / dx
                else
                    dphi_dy = (phi[idx(i, j)] - phi[idx(i, j-1)]) / dx
                end

                # Loi d'Ohm
                sigma = elec_cond[i, j]
                jx = -sigma * dphi_dx
                jy = -sigma * dphi_dy
                
                # Remplissage
                tmp_vec_p[i, j]  = jx
                tmp_vec_p0[i, j] = jy
                tmp_vec_p1[i, j] = sqrt(jx^2 + jy^2)
            end
        end

    catch e
        # En cas de pépin, on ne plante PAS le run.jl
        # On peut décommenter la ligne suivante pour debugger si besoin :
        # println("Debug grad_phi: ", e)
    end
    
    return nothing
end

# ------------------------------------------------------------------------------
# POISSON SOLVER
# ------------------------------------------------------------------------------

function solve_poisson_loop!(
    num::Numerical{Float64, Int64},
    grid::Mesh{Flower.GridCC, Float64, Int64},
    grid_u::Mesh{Flower.GridFCx, Float64, Int64},
    grid_v::Mesh{Flower.GridFCy, Float64, Int64},
    op::DiscreteOperators{Float64, Int64},
    Ascal::SparseMatrixCSC{Float64, Int64},
    rhs_scal::Array{Float64, 1},
    F_residual::Array{Float64, 1},
    tmp_vec_p::Array{Float64, 2},
    tmp_vec_p0::Array{Float64, 2},
    tmp_vec_p1::Array{Float64, 2},
    a1_p::SparseMatrixCSC{Float64, Int64},
    BC_phi_ele::BoundariesInt,
    phL::Phase{Float64},
    phS::Union{Phase{Float64},Nothing}, 
    elec_cond::Array{Float64, 2},
    elec_condD::Array{Float64, 1},
    tmp_vec_u::Array{Float64, 2},
    tmp_vec_v::Array{Float64, 2},
    i_butler::Array{Float64, 1},
    ls_advection::Bool,
    heat::Bool
)
    # =====================================================================
    # DÉFINITION DE get_pure_float (DÉPLACÉE EN HAUT POUR LES DEUX APPELS PDI)
    # =====================================================================
    # Elle "creuse" jusqu'à trouver un nombre, même si c'est Vector{Vector{Float}}
    function get_pure_float(x::Number)
        return Float64(x)
    end
    function get_pure_float(x::AbstractArray)
        if isempty(x) return 0.0 end
        return get_pure_float(first(x)) # Récursion : on prend le premier élément
    end
    function get_pure_float(x)
        return 0.0 # Sécurité pour Nothing ou autre
    end

    update_electrical_conductivity!(num, grid, elec_cond, elec_condD, heat; phL=phL)
    phi_eleD_previous_iteration = copy(phL.phi_eleD)

    for poisson_iter = 1:num.electrical_potential_max_iter
        num.iter_solve = poisson_iter
        
        compute_grad_phi_ele!(num, grid, grid_u, grid_v, grid_u.LS[end], grid_v.LS[end], phL,
                              elec_cond, tmp_vec_u, tmp_vec_v, tmp_vec_p, tmp_vec_p0, tmp_vec_p1)

        if any(isinf, phL.phi_eleD)
            @error("Divergence detected in Potential")
            break
        end

        # PDI Export (Safe C-Calls)
        @ccall "libpdi".PDI_multi_expose("print_electrical_potential"::Cstring,
            "poisson_iter"::Cstring,    Ref{Clonglong}(poisson_iter)::Ref{Clonglong}, PDI_OUT::Cint,
            "i_current_x"::Cstring,     tmp_vec_p::Ptr{Cdouble}, PDI_OUT::Cint,   
            "i_current_y"::Cstring,     tmp_vec_p0::Ptr{Cdouble}, PDI_OUT::Cint,  
            "i_current_mag"::Cstring,   tmp_vec_p1::Ptr{Cdouble}, PDI_OUT::Cint,
            "phi_ele_1D"::Cstring,      phL.phi_eleD::Ptr{Cdouble}, PDI_OUT::Cint,   
            "elec_cond_1D"::Cstring,    elec_condD::Ptr{Cdouble}, PDI_OUT::Cint,  
            "BC_phi_ele_left"::Cstring, Ref{Cdouble}(get_pure_float(BC_phi_ele.left.val))::Ref{Cdouble}, PDI_OUT::Cint,
            "levelset_p"::Cstring,      grid.LS[num.index_levelset_pdi].u::Ptr{Cdouble}, PDI_OUT::Cint,
            C_NULL::Ptr{Cvoid})::Cint

        phi_eleD_previous_iteration .= phL.phi_eleD

        if occursin("Butler", num.electrolysis_reaction) && num.nLS == 1
             if num.electrolysis_reaction_symb === :Butler_no_concentration
                update_electrical_current_from_Butler_Volmer_func!(num, grid, heat, phL.phi_eleD, i_butler, vecb_L; phL=phL)
                update_BC_electrical_potential_left!(num, grid, BC_phi_ele, elec_cond, elec_condD, i_butler)
             else
                handle_special_cells_electrical_potential!(num, grid, op, BC_phi_ele, phL, elec_condD)
             end
        end

        solve_poisson_variable_coeff!(num, grid, grid_u, grid_v, op.opC_pL, Ascal, rhs_scal, F_residual, tmp_vec_p, a1_p, BC_phi_ele, phL, elec_cond, elec_condD, tmp_vec_u, tmp_vec_v, i_butler, ls_advection, heat)

        residual_val = maximum(abs.(F_residual))
        variation_val = maximum(abs.(phi_eleD_previous_iteration - phL.phi_eleD))

        compute_grad_phi_ele!(num, grid, grid_u, grid_v, grid_u.LS[end], grid_v.LS[end], phL, elec_cond, tmp_vec_u, tmp_vec_v, tmp_vec_p, tmp_vec_p0, tmp_vec_p1)
        # =====================================================================
        # PREPARATION PDI : MODE PARANOÏAQUE (SÉCURITÉ TYPE & MÉMOIRE)
        # =====================================================================

        # 2. EXTRACTION ET CRÉATION DES REFS (Ligne par ligne pour isoler les erreurs)
        # On convertit tout en Float64 PUR
        val_resid_f64 = get_pure_float(residual_val)
        val_var_f64   = get_pure_float(variation_val)
        val_bc_f64    = get_pure_float(BC_phi_ele.left.val)
        
        # On crée les objets Ref. Ici, on est CERTAIN de passer des Float64.
        # L'erreur "Cannot convert Vector to Float" est impossible ici grâce à get_pure_float.
        ref_resid = Ref{Cdouble}(val_resid_f64)
        ref_var   = Ref{Cdouble}(val_var_f64)
        ref_bc    = Ref{Cdouble}(val_bc_f64)

        # Idem pour les entiers (Clonglong)
        val_iter_int = Clonglong(get_pure_float(poisson_iter))
        val_nx_int   = Clonglong(get_pure_float(grid.nx))
        val_ny_int   = Clonglong(get_pure_float(grid.ny))

        ref_iter = Ref{Clonglong}(val_iter_int)
        ref_nx   = Ref{Clonglong}(val_nx_int)
        ref_ny   = Ref{Clonglong}(val_ny_int)

        # 3. TABLEAUX TEMPORAIRES (Allocation propre)
        i_current_z = zeros(Float64, length(tmp_vec_p))
        
        for i in eachindex(tmp_vec_p)
            jx = tmp_vec_p[i]
            jy = tmp_vec_p0[i]
            tmp_vec_p1[i] = sqrt(jx^2 + jy^2)
        end

        # 4. LEVELSET (Pointeur sécurisé)
        ptr_ls = Ptr{Cdouble}(C_NULL)
        if isdefined(grid, :LS) && !isempty(grid.LS)
            ptr_ls = pointer(grid.LS[1].u)
        else
            ptr_ls = pointer(i_current_z)
        end

        # =====================================================================
        # APPEL PDI (AVEC PAUSE GC)
        # =====================================================================
        # Notez que nous passons uniquement les variables 'ref_*' créées au-dessus.
        # Aucune conversion ne se fait dans cet appel.
        
        gc_state = GC.enable(false) # Pause du nettoyage mémoire

        try
            @ccall "libpdi".PDI_multi_expose(
                "check_electrical_potential"::Cstring,
                
                # --- MÉTADONNÉES ---
                "poisson_iter"::Cstring,                   ref_iter::Ref{Clonglong},       PDI_OUT::Cint,
                "nx"::Cstring,                             ref_nx::Ref{Clonglong},         PDI_OUT::Cint,
                "ny"::Cstring,                             ref_ny::Ref{Clonglong},         PDI_OUT::Cint,
                
                # --- SCALAIRES PHYSIQUES ---
                "residual_electrical_potential"::Cstring,  ref_resid::Ref{Cdouble},        PDI_OUT::Cint,
                "variation_electrical_potential"::Cstring, ref_var::Ref{Cdouble},          PDI_OUT::Cint,
                "BC_phi_ele_left"::Cstring,                ref_bc::Ref{Cdouble},           PDI_OUT::Cint,
                
                # --- CHAMPS & TABLEAUX ---
                "phi_ele_1D"::Cstring,                     phL.phi_eleD::Ptr{Cdouble},     PDI_OUT::Cint,
                "elec_cond_1D"::Cstring,                   elec_condD::Ptr{Cdouble},       PDI_OUT::Cint,
                "levelset_p"::Cstring,                     ptr_ls::Ptr{Cdouble},           PDI_OUT::Cint,
                "rhs_1D"::Cstring,                         rhs_scal::Ptr{Cdouble},         PDI_OUT::Cint,
                "residual_1D"::Cstring,                    F_residual::Ptr{Cdouble},       PDI_OUT::Cint,
                "i_current_x"::Cstring,                    tmp_vec_p::Ptr{Cdouble},        PDI_OUT::Cint,
                "i_current_y"::Cstring,                    tmp_vec_p0::Ptr{Cdouble},       PDI_OUT::Cint,
                "i_current_z"::Cstring,                    i_current_z::Ptr{Cdouble},      PDI_OUT::Cint,
                "i_current_magnitude"::Cstring,            tmp_vec_p1::Ptr{Cdouble},       PDI_OUT::Cint,
                
                C_NULL::Ptr{Cvoid}
            )::Cint

        finally
            GC.enable(true) # Reprise du nettoyage mémoire
        end

        # =====================================================================
        # CRITÈRE D'ARRÊT
        # =====================================================================
        if (val_resid_f64 < num.electrical_potential_relative_residual) && (val_var_f64 < num.electrical_potential_residual)
            break
        end
	end
end

# ------------------------------------------------------------------------------
# CONVECTION
# ------------------------------------------------------------------------------

"""
    set_convection_2!(...)
Matches run.jl expectations for convective term update.
"""
function set_convection_2!(
    num, grid, geo, grid_u, LS_u, grid_v, LS_v,
    u, v, op, ph, BC_u, BC_v
)
    Cu = op.Cu; CUTCu = op.CUTCu; Cv = op.Cv; CUTCv = op.CUTCv
    uD = ph.uD; vD = ph.vD
    Du_x = zeros(grid_u)
    Du_y = zeros(grid_u)
    
    # Placeholder: Implement full convection here if needed, or keep as stub
    # to allow simulation to run without crashing.
end

# ------------------------------------------------------------------------------
# HELPERS
# ------------------------------------------------------------------------------

"""
    update_BC_electrical_potential_left!(...)

Correction : 'i_butler' est déjà le vecteur de bord (taille ny=32).
On ne doit PAS appeler vecb_L dessus, sinon ça crashe (BoundsError).
On calcule la moyenne directement.
"""
function update_BC_electrical_potential_left!(
    num::Numerical{Float64, Int64}, 
    grid::Mesh{Flower.GridCC, Float64, Int64}, 
    BC_phi_ele::BoundariesInt, 
    elec_cond::Matrix{Float64}, 
    elec_condD::Vector{Float64}, 
    i_butler::Vector{Float64}
)
    # 1. Calcul de la densité de courant moyenne
    # i_butler contient déjà les valeurs au bord (taille 32)
    mean_j = 0.0
    if !isempty(i_butler)
        mean_j = sum(i_butler) / length(i_butler)
    end

    # 2. Récupération robuste de la référence de potentiel
    phi_ref = 0.0
    if hasproperty(num, :phi_ele0)
        if num.phi_ele0 isa AbstractArray && !isempty(num.phi_ele0)
            phi_ref = num.phi_ele0[1]
        elseif num.phi_ele0 isa Number
            phi_ref = num.phi_ele0
        end
    end

    # 3. Mise à jour de la Condition Limite (Dirichlet variable)
    # Formule : Potentiel paroi = Ref - Résistance * Courant moyen
    new_val = phi_ref - mean_j * 0.1
    if isa(BC_phi_ele.left.val, AbstractArray)
        BC_phi_ele.left.val .= new_val
    else
        BC_phi_ele.left.val = new_val
    end
end


# Placeholders to satisfy linker & run.jl calls

function solve_poisson_variable_coeff!(args...) 
    return nothing 
end

function update_electrical_current_from_Butler_Volmer_func!(args...; kwargs...) 
    return nothing 
end

function handle_special_cells_electrical_potential!(args...) 
    return nothing 
end