using UnitCommitment
using HiGHS
import JuMP

CASES =[
    ("testdata/case2383wp/2017-07-27.json.gz", "case2383wp"),
    # ("testdata/case2736sp/2017-07-21.json.gz", "case2736sp")
]

function build_and_solve(instance, use_traj)
    formulation = use_traj ?
        UnitCommitment.Formulation(
            power_trajectories = UnitCommitment.ArrCon2004.PowerTrajectories()
        ) :
        UnitCommitment.Formulation()
    model = UnitCommitment.build_model(
        instance    = instance,
        optimizer   = HiGHS.Optimizer,
        formulation = formulation,
    )
    JuMP.set_silent(model)
    JuMP.optimize!(model)
    return model
end

function get_actual_power(model, g, t, T, prev_p)
    uname = g.name
    UD = length(g.startup_curve)
    DD = length(g.shutdown_curve)
    startup_curve = g.startup_curve
    shutdown_curve = g.shutdown_curve
    Pmin = g.min_power[t]
    Pmax = g.max_power[t]
    RU = g.ramp_up_limit

    v  = round(JuMP.value(model[:is_on][uname, t]))
    y  = round(JuMP.value(model[:switch_on][uname, t]))
    pa = JuMP.value(model[:prod_above]["s1", uname, t])

    in_su = UD > 0 && any(
        round(JuMP.value(model[:switch_on][uname, t-i+1])) == 1.0
        for i in 1:UD if t-i+1 >= 1)
    in_sd = DD > 0 && any(
        round(JuMP.value(model[:switch_off][uname, t+i])) == 1.0
        for i in 1:DD if t+i <= T)

    p = 0.0
    if in_su
        for i in 1:UD
            if t-i+1 >= 1 && round(JuMP.value(model[:switch_on][uname, t-i+1])) == 1.0
                p = startup_curve[i]; break
            end
        end
    elseif in_sd
        for i in 1:DD
            if t+i <= T && round(JuMP.value(model[:switch_off][uname, t+i])) == 1.0
                p = shutdown_curve[DD-i+1]; break
            end
        end
    elseif v > 0.5
        p = pa + Pmin
    end

    status = if v == 0.0;     "Offline"
             elseif y == 1.0; "Startup_t1"
             elseif in_su;    "Startup_traj"
             elseif in_sd;    "Shutdown_traj"
             else             "Normal"
             end

    # 计算上下界 (ub, lb)
    sum_y = sum(round(JuMP.value(model[:switch_on][uname, t-i+1])) for i in 1:UD if t-i+1 >= 1; init=0.0)
    sum_z = DD > 0 ? sum(round(JuMP.value(model[:switch_off][uname, t+i])) for i in 1:DD if t+i <= T; init=0.0) : 0.0

    ramp_ub = if t == 1
        g.initial_power + RU
    elseif sum_y > 0
        Pmax
    else
        prev_p + RU
    end

    if v == 0.0 || (UD == 0 && DD == 0)
        ub_val = ""
        lb_val = ""
    else
        su_sum = sum(startup_curve[i] * round(JuMP.value(model[:switch_on][uname, t-i+1]))
                     for i in 1:UD if t-i+1 >= 1; init=0.0)
        sd_sum = DD > 0 ? sum(shutdown_curve[i] * round(JuMP.value(model[:switch_off][uname, t+DD-i+1]))
                     for i in 1:DD if t+DD-i+1 >= 1 && t+DD-i+1 <= T; init=0.0) : 0.0
        ub_val = min(su_sum + Pmax*(v-sum_y), sd_sum + Pmax*(v-sum_z), ramp_ub)
        lb_val = max(Pmin*(v-sum_z-sum_y)+su_sum, Pmin*(v-sum_z-sum_y)+sd_sum)
    end

    return p, status, ub_val, lb_val
end

function export_combined_csv(
    model_base, model_v1, model_v2,
    instance_orig, instance_v1, instance_v2,
    run_name, out_dir
)
    sc_orig = instance_orig.scenarios[1]
    sc_v1   = instance_v1.scenarios[1]
    sc_v2   = instance_v2.scenarios[1]
    T = instance_orig.time

    unit_map_v1 = Dict(g.name => g for g in sc_v1.thermal_units)
    unit_map_v2 = Dict(g.name => g for g in sc_v2.thermal_units)

    rows = String[]
    push!(rows,
        "run_name,case,unit,t," *
        "p_base,p_v1,p_v2," *
        "ub_v1,lb_v1,ub_v2,lb_v2," *
        "status_v1,status_v2," *
        "pmin,pmax,startup_limit,shutdown_limit,UD,DD," *
        "has_startup_v1,has_shutdown_v1,has_startup_v2,has_shutdown_v2," *
        "min_uptime_orig,min_uptime_v2,has_curve"
    )

    case_name = split(run_name, "-")[1]

    for g_orig in sc_orig.thermal_units
        uname = g_orig.name
        g_v1  = unit_map_v1[uname]
        g_v2  = unit_map_v2[uname]

        has_curve       = !isempty(g_v1.startup_curve)
        UD              = length(g_v1.startup_curve)
        DD              = length(g_v1.shutdown_curve)
        startup_limit   = g_v1.startup_limit
        shutdown_limit  = g_v1.shutdown_limit
        min_uptime_orig = g_orig.min_uptime
        min_uptime_v2   = g_v2.min_uptime

        # 判断整个周期内是否有真实启动/停机行为
        su_v1 = has_curve && any(round(JuMP.value(model_v1[:switch_on][uname, t])) == 1.0 for t in 1:T)
        sd_v1 = has_curve && any(round(JuMP.value(model_v1[:switch_off][uname, t])) == 1.0 for t in 1:T)
        su_v2 = has_curve && any(round(JuMP.value(model_v2[:switch_on][uname, t])) == 1.0 for t in 1:T)
        sd_v2 = has_curve && any(round(JuMP.value(model_v2[:switch_off][uname, t])) == 1.0 for t in 1:T)

        prev_p_v1 = 0.0
        prev_p_v2 = 0.0

        for t in 1:T
            Pmin = g_orig.min_power[t]
            Pmax = g_orig.max_power[t]

            # base model
            pa0    = JuMP.value(model_base[:prod_above]["s1", uname, t])
            v0     = round(JuMP.value(model_base[:is_on][uname, t]))
            p_base = pa0 + Pmin * v0

            # v1 model
            p_v1, status_v1, ub_v1, lb_v1 = get_actual_power(model_v1, g_v1, t, T, prev_p_v1)
            prev_p_v1 = p_v1

            # v2 model
            p_v2, status_v2, ub_v2, lb_v2 = get_actual_power(model_v2, g_v2, t, T, prev_p_v2)
            prev_p_v2 = p_v2

            push!(rows,
                "$run_name,$case_name,$uname,$t," *
                "$(round(p_base,digits=4)),$(round(p_v1,digits=4)),$(round(p_v2,digits=4))," *
                "$ub_v1,$lb_v1,$ub_v2,$lb_v2," *
                "$status_v1,$status_v2," *
                "$(round(Pmin,digits=4)),$(round(Pmax,digits=4))," *
                "$(round(startup_limit,digits=4)),$(round(shutdown_limit,digits=4))," *
                "$UD,$DD,$su_v1,$sd_v1,$su_v2,$sd_v2," *
                "$min_uptime_orig,$min_uptime_v2,$has_curve"
            )
        end
    end

    fname = joinpath(out_dir, "$(run_name)_combined.csv")
    open(fname, "w") do f
        for row in rows
            println(f, row)
        end
    end
    println("  Saved: $fname")

    # ---------- 物理合理性验证统计输出 ----------
    total_curves = 0
    v1_su_count, v1_sd_count = 0, 0
    v2_su_count, v2_sd_count = 0, 0

    for g_v1 in sc_v1.thermal_units
        uname = g_v1.name
        if !isempty(g_v1.startup_curve)
            total_curves += 1
            if any(round(JuMP.value(model_v1[:switch_on][uname, t])) == 1.0 for t in 1:T) v1_su_count += 1 end
            if any(round(JuMP.value(model_v1[:switch_off][uname, t])) == 1.0 for t in 1:T) v1_sd_count += 1 end
            if any(round(JuMP.value(model_v2[:switch_on][uname, t])) == 1.0 for t in 1:T) v2_su_count += 1 end
            if any(round(JuMP.value(model_v2[:switch_off][uname, t])) == 1.0 for t in 1:T) v2_sd_count += 1 end
        end
    end

    println("\n    [物理合理性验证] 启停轨迹激活统计:")
    println("      配置了曲线的机组总数: $total_curves")
    println("      v1 发生实际启动: $(v1_su_count)/$total_curves  |  发生实际停机: $(v1_sd_count)/$total_curves")
    println("      v2 发生实际启动: $(v2_su_count)/$total_curves  |  发生实际停机: $(v2_sd_count)/$total_curves")
    if total_curves > 0 && v1_su_count == 0 && v2_su_count == 0
        println(" 警告: 即使添加了曲线，也没有任何相关机组发生真实启动/停机。")
    end
end

function export_summary_csv(results, run_name, case_name, out_dir)
    fname = joinpath(out_dir, "$(run_name)_summary.csv")
    open(fname, "w") do f
        println(f, "case,model,objective,lower_bound,mip_gap_actual,solve_time,diff_pct")
        for (tag, obj, lb, gap, stime, diff) in results
            println(f, "$case_name,$tag,$(round(obj,digits=4)),$(round(lb,digits=4)),$(round(gap,digits=6)),$(round(stime,digits=4)),$(round(diff,digits=6))")
        end
    end
    println("  Saved: $fname")
end

println("="^60)

# 定义主输出文件夹
master_dir = "test"
mkpath(master_dir)
println(">> 开始测试")

for (json_path, case_name) in CASES
    # 提取日期，例如：2017-01-01（现在是从 .json 文件中提取）
    date_str = split(basename(json_path), ".")[1] 
    
    # 拼接统一前缀名称：case2383wp-2017-01-01
    run_name = "$(case_name)-$(date_str)"
    
    # 输出存放在 master_dir 下
    out_dir  = joinpath(master_dir, run_name) 
    mkpath(out_dir)

    println("\n[Run: $run_name]")

    # 读取原始instance → 求解base model
    instance_orig = UnitCommitment.read(json_path)
    println("  [1/4] 求解 base model...")
    model_base = build_and_solve(instance_orig, false)
    
    obj_base  = JuMP.objective_value(model_base)
    lb_base   = JuMP.objective_bound(model_base)
    time_base = JuMP.solve_time(model_base)
    gap_base  = abs(obj_base - lb_base) / max(1e-10, abs(obj_base))
    println("        base obj: $(round(obj_base, digits=2)) | gap: $(round(gap_base*100, digits=4))% | solver_time: $(round(time_base, digits=2))s")

    println("\n[2/4] Part 1 - 添加 startup/shutdown curve...")
    json_v1_path = UnitCommitment.add_trajectory_curves_to_source_data(
        json_path;
        top_pct     = 0.10,
        output_path = joinpath(out_dir, "$(run_name)-part1.json"), 
    )
    instance_v1 = UnitCommitment.read(json_v1_path)
    println("        求解 traj_v1 model...")
    model_v1  = build_and_solve(instance_v1, true)
    
    obj_v1  = JuMP.objective_value(model_v1)
    lb_v1   = JuMP.objective_bound(model_v1)
    time_v1 = JuMP.solve_time(model_v1)
    gap_v1  = abs(obj_v1 - lb_v1) / max(1e-10, abs(obj_v1))
    diff_v1 = (obj_v1 - obj_base) / obj_base * 100
    println("        v1 obj: $(round(obj_v1, digits=2))  diff=$(round(diff_v1, digits=4))% | gap: $(round(gap_v1*100, digits=4))% | solver_time: $(round(time_v1, digits=2))s")

    println("\n  [3/4] Part 2 - 修改 Minimum uptime...")
    json_v2_path = UnitCommitment.modify_min_uptime_in_source_data(
        json_v1_path;
        output_path = joinpath(out_dir, "$(run_name)-part2.json"),
    )
    instance_v2 = UnitCommitment.read(json_v2_path)
    println("        求解 traj_v2 model...")
    model_v2  = build_and_solve(instance_v2, true)
    
    obj_v2  = JuMP.objective_value(model_v2)
    lb_v2   = JuMP.objective_bound(model_v2)
    time_v2 = JuMP.solve_time(model_v2)
    gap_v2  = abs(obj_v2 - lb_v2) / max(1e-10, abs(obj_v2))
    diff_v2 = (obj_v2 - obj_base) / obj_base * 100
    println("        v2 obj: $(round(obj_v2, digits=2))  diff=$(round(diff_v2, digits=4))% | gap: $(round(gap_v2*100, digits=4))% | solver_time: $(round(time_v2, digits=2))s")

    println("\n  ── 目标值汇总 " * "─"^30)
    println("  base : obj=$(round(obj_base, digits=2)), gap=$(round(gap_base*100, digits=4))%, solver_time=$(round(time_base, digits=2))s")
    println("  v1   : obj=$(round(obj_v1, digits=2)), diff=$(round(diff_v1, digits=4))%, gap=$(round(gap_v1*100, digits=4))%, solver_time=$(round(time_v1, digits=2))s")
    println("  v2   : obj=$(round(obj_v2, digits=2)), diff=$(round(diff_v2, digits=4))%, gap=$(round(gap_v2*100, digits=4))%, solver_time=$(round(time_v2, digits=2))s")

    println("\n[4/4] 导出 CSV...")
    export_combined_csv(
        model_base, model_v1, model_v2,
        instance_orig, instance_v1, instance_v2,
        run_name, out_dir
    )
    
    results_to_export =[
        ("base", obj_base, lb_base, gap_base, time_base, 0.0),
        ("v1",   obj_v1,   lb_v1,   gap_v1,   time_v1,   diff_v1),
        ("v2",   obj_v2,   lb_v2,   gap_v2,   time_v2,   diff_v2)
    ]
    export_summary_csv(results_to_export, run_name, case_name, out_dir)
end

println("\n" * "="^60)
println("测试完成")