module Modify using JSON using CodecZlib export add_trajectory_curves_to_source_data, modify_min_uptime_in_source_data function read_json_maybe_gz(path::String) open(path) do io if endswith(path, ".gz") decompressor = GzipDecompressorStream(io) return JSON.parse(decompressor) end return JSON.parse(io) end end function write_json_pretty(path::String, json_data) open(path, "w") do f JSON.print(f, json_data, 4) end end normalize_top_ratio(top_pct::Float64) = clamp(top_pct <= 1.0 ? top_pct : (top_pct / 100.0), 0.0, 1.0) function get_eligible_thermal_units(generators)::Vector{String} return filter( u -> haskey(generators[u], "Minimum uptime (h)") && haskey(generators[u], "Production cost curve (MW)"), collect(keys(generators)), ) end function build_unit_metric_dicts(generators, unit_names::Vector{String}) uptime_dict = Dict{String, Float64}() pmax_dict = Dict{String, Float64}() pmin_dict = Dict{String, Float64}() for u in unit_names curve_mw = generators[u]["Production cost curve (MW)"] uptime_dict[u] = Float64(get(generators[u], "Minimum uptime (h)", 0.0)) pmin_dict[u] = Float64(curve_mw[1]) pmax_dict[u] = Float64(curve_mw[end]) end return uptime_dict, pmax_dict, pmin_dict end function sort_by_uptime_then_pmax(unit_names::Vector{String}, uptime_dict, pmax_dict) return sort(copy(unit_names), by = u -> (uptime_dict[u], pmax_dict[u]), rev = true) end function sort_by_pmax_then_uptime(unit_names::Vector{String}, uptime_dict, pmax_dict) return sort(copy(unit_names), by = u -> (pmax_dict[u], uptime_dict[u]), rev = true) end function top_set(sorted_units::Vector{String}, ratio::Float64) n_total = length(sorted_units) n_total == 0 && return Set{String}() n_top = max(1, ceil(Int, n_total * ratio)) return Set(sorted_units[1:n_top]) end function build_four_categories(unit_order::Vector{String}, uptime_sorted::Vector{String}, pmax_sorted::Vector{String}) top_uptime_10 = top_set(uptime_sorted, 0.10) top_uptime_20 = top_set(uptime_sorted, 0.20) top_uptime_50 = top_set(uptime_sorted, 0.50) top_pmax_10 = top_set(pmax_sorted, 0.10) top_pmax_20 = top_set(pmax_sorted, 0.20) top_pmax_50 = top_set(pmax_sorted, 0.50) cat1_set = intersect(top_uptime_10, top_pmax_10) cat2_set = setdiff(intersect(top_uptime_20, top_pmax_20), cat1_set) cat3_set = setdiff(intersect(top_uptime_50, top_pmax_50), union(cat1_set, cat2_set)) cat4_set = setdiff(Set(unit_order), union(cat1_set, cat2_set, cat3_set)) category1 = [u for u in unit_order if u in cat1_set] category2 = [u for u in unit_order if u in cat2_set] category3 = [u for u in unit_order if u in cat3_set] category4 = [u for u in unit_order if u in cat4_set] return category1, category2, category3, category4 end function add_trajectory_curves_to_source_data( json_path::String; top_pct::Float64 = 10.0, output_path::String = replace(json_path, ".json" => "-part1.json"), ) json_data = read_json_maybe_gz(json_path) generators = json_data["Generators"] thermal_names = get_eligible_thermal_units(generators) n_total = length(thermal_names) n_total == 0 && begin println("── Part 1: 未发现可处理机组,直接写出原始数据 ──") write_json_pretty(output_path, json_data) return output_path end uptime_dict, pmax_dict, pmin_dict = build_unit_metric_dicts(generators, thermal_names) top_ratio = normalize_top_ratio(top_pct) top_count = min(n_total, max(1, ceil(Int, n_total * top_ratio))) threshold = 10.0 println("── Part 1: 筛选与约束添加 ──") println(" 热机组总数: $n_total") println(" Top X% 参数: $top_pct (Top 数量: $top_count)") println(" Pmax 下界阈值 (Threshold): $threshold") uptime_sorted = sort_by_uptime_then_pmax(thermal_names, uptime_dict, pmax_dict) pmax_sorted = sort_by_pmax_then_uptime(thermal_names, uptime_dict, pmax_dict) top_uptime_set = Set(uptime_sorted[1:top_count]) top_pmax_set = Set(pmax_sorted[1:top_count]) qualified_units = String[] disqualified_units = String[] for u in uptime_sorted if (u in top_uptime_set) && (u in top_pmax_set) && (pmax_dict[u] > threshold) push!(qualified_units, u) else push!(disqualified_units, u) end end reordered_units = vcat(qualified_units, disqualified_units) println("\n── 选中并添加轨迹的机组名单 (交集且 Pmax > $threshold) ──") for u in qualified_units uptime = uptime_dict[u] pmax = pmax_dict[u] pmin = pmin_dict[u] generators[u]["Startup curve (MW)"] = [pmin / 2.0, pmin] generators[u]["Shutdown curve (MW)"] = [pmin, pmin / 2.0] println(" [写入轨迹] $(rpad(u,10)) Uptime=$uptime Pmax=$(round(pmax, digits=2)) Pmin=$(round(pmin, digits=2))") end println("\n── 未满足筛选条件的机组 (展示前几位) ──") for u in disqualified_units[1:min(5, length(disqualified_units))] uptime = uptime_dict[u] pmax = pmax_dict[u] in_top_uptime = u in top_uptime_set in_top_pmax = u in top_pmax_set println(" [未入选] $(rpad(u,10)) Uptime=$uptime Pmax=$(round(pmax, digits=2)) TopUptime=$in_top_uptime TopPmax=$in_top_pmax") end json_data["_sorted_thermal_units"] = reordered_units write_json_pretty(output_path, json_data) println("\nPart 1 完成 → 输出保存至: $output_path") return output_path end function modify_min_uptime_in_source_data( json_v1_path::String; output_path::String = replace(json_v1_path, "-part1.json" => "-part2.json"), ) json_data = read_json_maybe_gz(json_v1_path) generators = json_data["Generators"] sorted_units = get_eligible_thermal_units(generators) n_total = length(sorted_units) n_total == 0 && begin println("── Part 2: 未发现可处理机组,直接写出原始数据 ──") if haskey(json_data, "_sorted_thermal_units") delete!(json_data, "_sorted_thermal_units") end write_json_pretty(output_path, json_data) return output_path end uptime_dict, pmax_dict, _ = build_unit_metric_dicts(generators, sorted_units) uptime_sorted = sort_by_uptime_then_pmax(sorted_units, uptime_dict, pmax_dict) pmax_sorted = sort_by_pmax_then_uptime(sorted_units, uptime_dict, pmax_dict) category1, category2, category3, category4 = build_four_categories(uptime_sorted, uptime_sorted, pmax_sorted) println("\n── Part 2: Uptime / Downtime 分类修改 ──") println(" 机组总数: $n_total") println(" Category 1 (top10%∩top10%): $(length(category1))") println(" Category 2 (top20%∩top20% \\ cat1): $(length(category2))") println(" Category 3 (top50%∩top50% \\ cat1,2): $(length(category3))") println(" Category 4 (remaining): $(length(category4))") modified_cat1 = String[] modified_cat2 = String[] modified_cat3 = String[] function apply_uptime_downtime_multipliers!(u::String, up_mult::Int, down_mult::Int, tag::String) old_up = get(generators[u], "Minimum uptime (h)", nothing) old_down = get(generators[u], "Minimum downtime (h)", nothing) if old_up !== nothing generators[u]["Minimum uptime (h)"] = old_up * up_mult end if old_down !== nothing generators[u]["Minimum downtime (h)"] = old_down * down_mult end println("[$tag] $u uptime: $old_up → $(get(generators[u], "Minimum uptime (h)", old_up)) downtime: $old_down → $(get(generators[u], "Minimum downtime (h)", old_down))") end for u in category1 apply_uptime_downtime_multipliers!(u, 4, 3, "Category 1") push!(modified_cat1, u) end for u in category2 apply_uptime_downtime_multipliers!(u, 3, 2, "Category 2") push!(modified_cat2, u) end for u in category3 apply_uptime_downtime_multipliers!(u, 2, 2, "Category 3") push!(modified_cat3, u) end if haskey(json_data, "_sorted_thermal_units") delete!(json_data, "_sorted_thermal_units") end write_json_pretty(output_path, json_data) println("\nPart 2 完成 → 输出保存至: $output_path") println(" Category 1 已修改 (uptime×4, downtime×3): $(length(modified_cat1)) 个") println(" Category 2 已修改 (uptime×3, downtime×2): $(length(modified_cat2)) 个") println(" Category 3 已修改 (uptime×2, downtime×2): $(length(modified_cat3)) 个") println(" Category 4 未修改: $(length(category4)) 个") return output_path end end