guanlan-src/app_frontEnd/web/target/ssr/entry-server.js

import { defineComponent, computed, unref, useSSRContext, ref, onMounted, watch, onBeforeUnmount, mergeProps, createSSRApp } from "vue";
import { ssrRenderAttrs, ssrInterpolate, ssrRenderStyle, ssrRenderList, ssrRenderAttr, ssrRenderClass, ssrRenderComponent, renderToString } from "vue/server-renderer";
const ZH = {
  "app.brand": "观澜",
  "app.build": "最新完成构建",
  "app.lang_en": "英文",
  "app.lang_zh": "中文",
  "app.subtitle": "海上风电场",
  "app.title": "观澜 · 风电数据分析与决策支持",
  "ask.common_q": "{cat} · 常用问题 (点即问, 或下方自由输入)",
  "ask.done_meta": "模型 {m} · 用时 {s} 秒 · {n} 步",
  "ask.elapsed": "{s} 秒",
  "ask.empty": "问题为空",
  "ask.en_qa_failed": "英文质检未通过: 已拦截这次模型回答, 请重新提问。",
  "ask.error": "出错: {e}",
  "ask.go": "提问",
  "ask.grounding": "答案句句带 [对象id] 溯源 + 数据回抓校验核验; 判级只转述本体原文带审级, 模型零判级权。",
  "ask.idle": "空闲 — 点常用问题或输入后提问。串行一次一问。",
  "ask.local_down": "本机模型未启动 (Ollama 127.0.0.1:11434 未响应); 离线版不转云",
  "ask.model": "模型",
  "ask.no_models": "无可用模型",
  "ask.offline": "离线版: 模型问答需连接系统。",
  "ask.partial": "初答 · 27B 复核中",
  "ask.placeholder": "自由提问 ({cat})",
  "ask.question": "问题: {q}",
  "ask.refined": "已复核 (默认档 {m} 未过成文校验, 由更强模型重答)",
  "ask.refs.none": "无匹配契约条目 (契约 {sha}): 本回答未被结构化事实契约背书, 按模型输出对待",
  "ask.refs.title": "契约引用 ({n} 条, 契约 {sha}) — 按问题/回答匹配的可交付结论, 引文来自 qa_refs",
  "ask.review": "交叉审核 · {m}",
  "ask.review_err": "审核未完成: {e}",
  "ask.review_note": "由另一模型基于同一份证据复核上述答案。溯源核验仅校验数字与机组号是否越界, 本项校验结论是否有证据支撑。",
  "ask.running": "推理中…",
  "ask.verify_bad": "溯源核验未全过 (引用 {n})",
  "ask.verify_ok": "溯源核验 {n}/{n} 全真",
  "ask.xrev": "交叉审核",
  "ask.xrev_note": "(DeepSeek 14B 互审, +约 1 分钟)",
  "ask.xrev_title": "由另一模型基于同一份证据复核; 同一模型自审无法构成独立校验",
  "asst.alarm_type": "告警类型 {t}",
  "asst.cause_counts": "手册 {r} 次 · 工单 {w} 次 · 涉码 {c}",
  "asst.causes": "← 可能原因 (手册排查方向 + 工单实证)",
  "asst.check": "查什么",
  "asst.code_placeholder": "报警码, 如 3225 / 3130 / 13902",
  "asst.common": "常见",
  "asst.corrective": "抢修",
  "asst.corrective_flow": "报警码 → 失效模式 → 手册分步处置 → 历史工单",
  "asst.drawings": "对应图纸",
  "asst.failmodes": "指向的失效模式",
  "asst.faulttree": "故障树",
  "asst.faulttree_flow": "按证据量排序的系统失效模式 + 部件级成因",
  "asst.fm_counts": "该类本场报警 {a} 条 / 工单 {w} 条",
  "asst.head": "检修助手 — 确定性本体查询",
  "asst.head_note": "结果逐字取自手册与工单, 不经模型",
  "asst.identity": "系统 {sys} · 本场 {n} 条",
  "asst.interval": "周期 {i}",
  "asst.known_tags": "该系统手册出现过的位号 (对图纸时参考):",
  "asst.no_causes": "(手册无该类排查条目 — 原因层待补)",
  "asst.no_name": "(码表未收录)",
  "asst.no_steps": "本码无手册处置条目 (手册覆盖本场 161/322 码) — 需查图纸或联系厂商支持。",
  "asst.node": "节点",
  "asst.nodes": "应检节点 · {c}",
  "asst.nodes_note": "手册此步未给位号 → 按回路构成展开, 逐点查",
  "asst.prev_empty": "(该系统无匹配的年度维护条目 — 维护作业指导书按位置代号编排, 未必逐系统对齐)",
  "asst.prev_fm": "失效模式 (按本场报警量)",
  "asst.prev_head": "{sys} 预防链 · 失效模式 {f} 类 · 预防性任务 {n} 项",
  "asst.prev_tasks": "年度任务",
  "asst.preventive": "预防性维护",
  "asst.preventive_flow": "系统 → 失效模式 → 年度任务 → 作业指导步骤",
  "asst.qty": "量: {q}",
  "asst.query_failed": "查询失败: {e}",
  "asst.querying": "查询中…",
  "asst.spec_name": "名称",
  "asst.spec_no": "参数号",
  "asst.spec_range": "允许范围",
  "asst.spec_val": "整定值",
  "asst.specs": "判定规范 (实机参数表)",
  "asst.step_n": "第 {n} 步",
  "asst.steps": "现场处置 {n} 步",
  "asst.steps_note": "节点部件 = 手册原文元件位号 (确定); 判定规范 = 实机参数表按物理量匹配的候选判据, 非厂商绑定 — 现场以铭牌与图纸复核。",
  "asst.tags": "节点部件",
  "asst.tree_codes": "征兆码 {c}",
  "asst.tree_counts": "本场报警 {a} 条 · 工单 {w} 条",
  "asst.tree_empty": "该系统无失效模式记录",
  "asst.tree_head": "{sys} 故障树 · {n} 个失效模式",
  "asst.tree_note": "一层 = 系统 × 失效类 (归纳自本场码表与工单) · 二层 = 手册排查方向归一 + 工单原因计数; 条长按实证量 (报警条数 + 工单 × 10), 因果来自手册与工单原文非推断, 树深两层不外推。",
  "asst.unassigned": "未归属",
  "asst.wi_steps": "WI {n} 步",
  "asst.wo_action": "处置",
  "asst.wo_fault": "故障",
  "asst.wo_head": "现场实际怎么修的 ({sys} 历史工单 {n} 条, 台账 2020~2024)",
  "asst.wo_note": '工单时间窗止 2024-11-21; 2025–26 现场未提供 ⇒ "0 条" 是记录缺失非未修过。',
  "attr.变桨与液压": "变桨与液压",
  "attr.塔架/结构": "塔架/结构",
  "attr.无记录停机": "无记录停机",
  "attr.未归类": "未归类",
  "attr.电网/供电(外部)": "电网/供电(外部)",
  "attr.轮毂/叶片": "轮毂/叶片",
  "attr.运维操作": "运维操作",
  "attr.风况(外部)": "风况(外部)",
  "cat.equip": "设备类",
  "cat.equip.hint": "设备状态 / 机制 / 判级 — 从机组档案、对象查询与机制检索取证",
  "cat.equip.q1": "29号机组现在什么状态、为什么、该怎么办?",
  "cat.equip.q2": "全场哪些机组有报警级或定论级判级?逐台列出并注明审级",
  "cat.equip.q3": "失效机制库里有哪些机制族?各涉及哪些机组、状态如何?",
  "cat.loss": "损失分析",
  "cat.loss.hint": "当前 3 个月损失 / 未来损失 — ont_loss / ont_scenario 取证, 金额带电价区间统计方法",
  "cat.loss.q1": "近3个月全场损失结构如何?分状态和分机组说, 电量与金额都给",
  "cat.loss.q2": "29号如果拖到主轴承失效, 未来损失量级是多少?与现在修对比",
  "cat.loss.q3": "限电常态化对检修机会成本有什么影响?",
  "cat.risk": "安全风险预测",
  "cat.risk.hint": "风险敞口 / 劣化趋势 / 盲区 — ont_risk / ont_mechanism_search 取证, 未列 ≠ 正常",
  "cat.risk.q1": "当前哪些机组风险在上升需要重点盯?联动监视读数如何?",
  "cat.risk.q2": '监测有哪些盲区?哪些"没报警"不等于正常?',
  "cat.risk.q3": "29号轴承正在承受金属接触, 风险敞口怎么评估?",
  "cat.sched": "检修排程决策",
  "cat.sched.hint": "排期沙盘 / 天气窗 / 验收树 — ont_scenario / ont_get 取证",
  "cat.sched.q1": "29号修泵什么时候做最合适?对比各情景的损失与风险",
  "cat.sched.q2": "未来几个月哪些月份适合安排CTV检修和吊装作业?依据历史可作业窗",
  "cat.sched.q3": "29号修好之后按什么判据验收?三分支分别是什么条件?",
  "ch.attrib.none": "无记录 {h}h ({p}%)",
  "ch.attrib.ok": "已归因到部件 {h}h ({p}%)",
  "ch.attrib.uncls": "未归类 {h}h",
  "ch.beta.median": "全场中位 {v}°",
  "ch.blame.d1": "限电与调度令, 不进设备责任",
  "ch.blame.d2": "故障与检修停机, 唯一进设备考核",
  "ch.blame.d3": "正常发电欠发与低风待机",
  "ch.blame.n1": "交易与调度侧",
  "ch.blame.n2": "设备侧",
  "ch.blame.n3": "运行侧",
  "ch.blame.title": "损失 {tot} MWh 按责任归属",
  "ch.cap.legend": "圆内数字 = 台数, 圆面积 ∝ 台数",
  "ch.cap.median": "中位 {v}",
  "ch.cap.p": "满发封顶",
  "ch.cap.w": "转速封顶",
  "ch.ml.legend": "— {s}",
  "ch.pareto.cum80": "累计 80%",
  "ch.pareto.cumtip": "{k} · 累计 {p}%",
  "ch.pareto.key": "关键少数: 前 {k} 项占 80%",
  "ch.pareto.none": "时间窗内无数据",
  "ch.pareto.top3": "前三: ",
  "ch.pareto.total": "共 {n} 项, 合计 {tot}{unit}",
  "ch.pareto.xlab": "报警码 (悬停看全名)",
  "ch.quad.few": "时间窗内码数不足, 不作四象限",
  "ch.quad.q1": "低频长时 · 硬故障",
  "ch.quad.q1s": "备件与检修窗",
  "ch.quad.q2": "高频长时 · 重点治理",
  "ch.quad.q2s": "优先派工",
  "ch.quad.q3": "低频短时 · 本底",
  "ch.quad.q3s": "不单独处置",
  "ch.quad.q4": "高频短时 · 重复触发",
  "ch.quad.q4s": "调整参数或屏蔽, 非硬件故障",
  "ch.quad.tip": "{n} 条 · 单次中位 {med}s · 累计 {h}h · {nt} 台",
  "ch.quad.xlab": "发生条数 (对数)",
  "ch.quad.ylab": "单次中位时长 (对数)",
  "ch.ram.area": "圆面积 = 累计停机时长",
  "ch.ram.equip": "设备类",
  "ch.ram.ext": "外部类",
  "ch.ram.few": "部件数不足, 不作象限",
  "ch.ram.median": "虚线 = 本场中位分界",
  "ch.ram.q1": "常坏且难修",
  "ch.ram.q1s": "最高优先级",
  "ch.ram.q2": "罕发难修",
  "ch.ram.q2s": "备件与作业窗",
  "ch.ram.q3": "频发易修",
  "ch.ram.q3s": "查根因, 换件无用",
  "ch.ram.q4": "少发好修",
  "ch.ram.q4s": "维持",
  "ch.ram.tip": "{p}: 平均无故障间隔（MTBF）{mtbf}h · 单次停机时长（MDT）{mdt}h · 停机 {h}h · {n}起 · {u}台",
  "ch.ram.tip_ext": " · 外部类不计设备可靠性",
  "ch.ram.xlab": "平均无故障间隔（MTBF，h，对数）→  越右越可靠",
  "ch.ram.ylab": "单次停机时长（MDT，h）→  越上越难修",
  "ch.rate.days": "仅{d}天",
  "ch.rate.month": "{m}月",
  "ch.rate.n": "{n}条",
  "ch.rate.tip": "{m}: {v} 条/日 (总 {n} 条, 数据覆盖 {cov}%)",
  "ch.rate.ylab": "条/日",
  "ch.ruler.norm": "正态期望 3.7σ",
  "ch.ruler.row": "{r}σ  σ = {s}",
  "ch.wf.act": "实际上网",
  "ch.wf.theo": "理论可发",
  "ch.wf.tip": "{nm}: 损失 {loss} MWh, 占理论 {pct}%, 时长 {h}h",
  "chain.gb": "齿轮箱",
  "chain.gde": "发电机DE",
  "chain.gen": "发电机",
  "chain.gnde": "发电机NDE",
  "chain.hss": "高速",
  "chain.ims": "中间",
  "chain.mba": "主轴承后",
  "chain.mbf": "主轴承前",
  "chain.ps": "行星",
  "cmp.alarm_n": "报警 {a}",
  "cmp.alarm_units": "报警机组",
  "cmp.basis": "依据",
  "cmp.by_system": "按系统查看",
  "cmp.cards_note": "点系统卡 → 该系统全场机组与依据; 九系统 = 交付九分册一一对应; 叶片与叶根 / 塔架与基础无 SCADA 轴 (分册蓝本取 CMS / 巡检)",
  "cmp.counts": "报警 {a} · 不可判 {u} · 良好 {g} · 优秀 {e}",
  "cmp.cross_eyebrow": "多系统交叉机组",
  "cmp.detail": "详情",
  "cmp.detail_head": "{sys} · 全场 {n} 台",
  "cmp.external": "外部",
  "cmp.fleet_n": " · 全场 {n} 台",
  "cmp.fusion_moved": "振动线结论与四源融合已移至独立板块 →",
  "cmp.fusion_n": "({n} 台次收录)",
  "cmp.good_units": "良好 {n} 台 (轻微偏离, 周期观察 — 点开看逐台依据)",
  "cmp.grading_pending": "正在按所选时间窗重算判级…",
  "cmp.grading_pending_why": "时间窗 {span}：变桨/偏航/蓄能/温度四个判级面正按该时间窗重算（首次约 25 秒），下面的系统卡暂时还是上一份统计方法 —— 算完会自动刷新，不会静默混用。",
  "cmp.hit_sys": "命中系统",
  "cmp.n_sys": "系统数",
  "cmp.n_units": "({n} 台)",
  "cmp.none": "本系统全场无非常态。",
  "cmp.problem_page": "该问题页 →",
  "cmp.rel_ev": "事件",
  "cmp.rel_eyebrow": "部件可靠性 · 时间窗 {win}",
  "cmp.rel_fm": "典型失效模式 (按时长)",
  "cmp.rel_h": "停机时长",
  "cmp.rel_head": "部件停机贡献与可靠性",
  "cmp.rel_mdt": "单次停机时长（MDT，h）",
  "cmp.rel_meta": "总停机 {t}h = 设备类 {a} + 外部类 {b}",
  "cmp.rel_mtbo": "平均停机间隔（MTBO，h）",
  "cmp.rel_note": '统计方法 ≥1h 停机段, 不含调度令 — 与"电量算账"里的停机时长{h} 不同, 差额是短于 1h 的停机段 (本页按段做可靠性指标须成段, 能量账按逐条工况态算电量): 两个数都对, 不可互相相减。',
  "cmp.rel_part": "部件",
  "cmp.rel_units": "影响机组",
  "cmp.unk_n": " · 不可判 {u}",
  "cmp.unk_units": "不可判 (监测/数据不足, ≠ 正常)",
  "cmp.watch_head": "关注机组 (≥2 系统交叉, {n} 台; 点机组号 → 该台独立页)",
  "dec.classic": "维护标准 / 维护框架 / 数据质量三块尚未迁入新版 —",
  "dec.head": "检修决策 · 本体问答 (推理无界, 结论须过校验)",
  "en.balance": "电量平衡",
  "en.blame": "损失责任分账",
  "en.blame_note": '最大一笔是限电不是故障。进设备考核的只有"故障与检修停机" {n} MWh; 限电属交易与调度侧, 2026 起交易策略主导, 少发未必是弃风。',
  "en.cap_fail": "不通过",
  "en.cap_note": "能量守恒核 · 理论 {op} 全额定上限 {cap}",
  "en.cap_pass": "通过",
  "en.kpi_act": "实际上网 · 等效满发 {h} h",
  "en.kpi_loss": "损失率 · {v} MWh",
  "en.kpi_theo": "理论可发 (实际+损失)",
  "en.loss_mwh": "损失 MWh",
  "en.share": "时长占比",
  "en.state": "工况态",
  "en.states": "工况态明细",
  "en.states_note": "控制参数一致性与曲线欠发筛查在固定干净窗判, 已迁入「发电性能」页 — 本页只出当期电量账。",
  "en.win": "窗 {win}",
  "fig.fleet_median": "全场中位",
  "fig.point": "测点",
  "fig.quartile": "四分位",
  "fig.this_unit": "本台",
  "fig.trend": "趋势",
  "fig.vibbar_note": "条为本台与全场中位之比; 色按 z (稳健离群度): 绿 <2 · 橙 2~3 · 红 ≥3",
  "fig.x_median": "×中位",
  "flt.alarm_face": "报警面",
  "flt.alarm_meta": "{n} 条 · {c} 个码 · 时间窗 {win}",
  "flt.attrib_note": '归因覆盖: "无记录停机" {h}h 是全场最大单项, 因不给 MTBF 而在上图中不出现 — 它不是"没有故障", 是"没归上因"。统计方法为段起点 ±30min 首发码。缺口成因待定: 此前写的"98% 的段在前 72h 内有报警 ⇒ 长停远窗"不成立 — 前 72h 有报警不等于该报警与本段停机有因果 (双模审 2026-08-28 逮)。要定成因须改判"段起止是否落在某条报警的持续区间内", 未做之前只报缺口不报原因。',
  "flt.block_err": "本块未算出 ({k}): {e}",
  "flt.eyebrow": "故障统计与可靠性",
  "flt.pareto_d": "帕累托 · 按持续时长",
  "flt.pareto_d_note": "时长 = 闩锁统计方法 (复位 − 激活), 只作排序参考不作停机时长",
  "flt.pareto_n": "帕累托 · 按发生条数",
  "flt.pareto_n_note": "条数 = 发生频次, 不反映影响程度 — 高频短时报警码 (信号抖动或重复触发) 排序靠前",
  "flt.per_t": "台级分布 · 报警条数 top{n}",
  "flt.per_t_note": "全场合计 {n} 条 · 单台占比高须先核查是否为单一报警码重复触发",
  "flt.per_t_share": "占全场",
  "flt.quad": "故障模式四象限 · 条数 × 单次时长",
  "flt.quad_note": "时间窗内共 {n} 个码, 图上为条数前 {m} 个。",
  "flt.quad_note2": "点面积表示影响机组数, 大点为批次共性、小点为单台; 竖分界取条数中位, 横分界取 10min (一个 SCADA 采样格)。右下角的码不要按条数排优先级 — 属重复触发, 非硬件故障。上面两张帕累托对照看即此图的两条投影。",
  "flt.quad_partial": "窗含不满月 {m} (覆盖 {c}%), 条数为原始累计未按天归一。",
  "flt.ram": "可靠性 × 可维修性 · 部件象限",
  "flt.ram_note": '按停机时长排序的表看不出这层结构: 同样 500h 的停机, "频发易修"要查根因、"罕发难修"要备件, 处置相反。设备类停机 {a}h / 外部类 {b}h (外部 = 电网·风况·运维操作, 不计设备可靠性)。海上机组 MDT 普遍偏高是交通窗口决定的, 不等于维修本身慢 — 跨场比 MDT 须同为海上。',
  "flt.rate": "月度故障率",
  "flt.rate_example": "实测: {m} 总数最低但日均 {v} 条/日 = 全时间窗前列。",
  "flt.rate_full": "各月覆盖完整。",
  "flt.rate_note": "柱高 = 日均条数, 不是月总数",
  "flt.rate_partial": "本时间窗 {m} 数据不满月 (灰虚线柱), 直接比月总数会读反。",
  "flt.seasonal": "故障季节性 · top 报警族 × 月",
  "flt.seasonal_note": "全程 19 个月 (跨 2 冬 1 夏); 未做 χ² 显著性检验前为【参考级】, 只看形态不作季节归因",
  "flt.seasonal_unit": "条/月",
  "flt.seasonal_x": "月",
  "flt.stop_face": "停机面",
  "flt.stop_h": "停机时长",
  "flt.stop_meta": "{h}h · {n} 起 · 统计方法 ≥1h 段, 不含调度令",
  "flt.stop_n": "次数",
  "flt.stop_pareto": "停机归因帕累托",
  "flt.stop_pareto_note": "按停机时长; 事件次数见悬停",
  "flt.stop_units": "台级停机 top{n}",
  "flt.stop_units_note": "停机时长高 ≠ 设备差 — 须先看归因里外部类占比 (调度令已剔除)",
  "fus.alarm_n": "{n} 条",
  "fus.alarm_rank": " · 第 {r}/{t}",
  "fus.burst": "⚠ {p}% 是码 {c} 抖动",
  "fus.burst_tip": "⚠ 单码 {c} 占 {p}%, 中位 {m} 秒/次 — 条数被抖动灌满",
  "fus.clear": "× 清除",
  "fus.cms_act": "行动",
  "fus.cms_action": "需行动机组 (报警 / 不可判)",
  "fus.cms_basis": "统计方法说明",
  "fus.cms_basis_note": "本表 = windcms 状态管理判级 (含标量趋势与数据可判性); 融合矩阵 / 逐台结论 = 振动线确诊链转录 (候选以上)。两统计方法差异台: 仅本表列 {a} (多为标量发作 / 数据不可判, 未到确诊链); 仅确诊链列 {b} (预警级在察, 状态管理未升)。",
  "fus.cms_chain": "部件状态链",
  "fus.cms_chain_note": "(主承前 · 主承后 · 齿轮箱 · 发电机; 悬停看逐件等级)",
  "fus.cms_evidence": "证据强度",
  "fus.cms_focus": "状态焦点",
  "fus.cms_focus_note": "(传动链: 主承前 · 主承后 · 齿轮箱 · 发电机两端)",
  "fus.cms_grades": "38 台部件等级一览",
  "fus.cms_head": "振动状态评估 (windcms 报告 {d} 结果转录)",
  "fus.cms_link": "谱图 · 波形 · 判据 · 工作台等分析功能在独立 windcms 系统 →",
  "fus.cms_loading": "载入振动评估结果…",
  "fus.cms_note": "状态管理判级, 不代表确诊数量; 判据/谱线/计算过程不在本页 — 深潜走底部独立系统。",
  "fus.cms_open": "打开 windcms ↗",
  "fus.cms_overall": "综合",
  "fus.cms_static": "(未启动时用静态版)",
  "fus.cms_window": '数据窗 {r} —— 本时间窗**实算**覆盖区间 (窗名只是起始日代号); 页面上的图谱与"末窗"状态取自时间窗内最新记录, 故多显示末期日期。',
  "fus.col.alarm": "报警",
  "fus.col.claim": "证据时间窗",
  "fus.col.claim_axis": "26-01 → 09",
  "fus.col.display_only": " · 只展示",
  "fus.col.fixed": " · 不随本时间窗",
  "fus.col.lub": "润滑柱塞",
  "fus.col.oil": "油样",
  "fus.col.part": "部件",
  "fus.col.signal": "振动信号",
  "fus.col.state_concl": "设备状态 / 振动结论",
  "fus.col.temp": "温度",
  "fus.col.tempaxis": "温度轴",
  "fus.col.tempaxis_note": "±6 K",
  "fus.col.vib": "振动",
  "fus.col.wo": "工单",
  "fus.ev_code": "码",
  "fus.ev_dur": "累计时长 h",
  "fus.ev_head": "{c} — 报警 {an} 条 / {au} 台 · 工单 {wn} 条 / {wu} 台 (时间窗内)",
  "fus.ev_min": "时长 min",
  "fus.ev_no_alarm": "时间窗内无该部件报警",
  "fus.ev_no_wo": "时间窗内无该部件工单 (工单数据止 2024-11, 2026 类窗必空 = 数据边界)",
  "fus.ev_recent": "最近 {n} 条明细",
  "fus.ev_text": "报警内容",
  "fus.ev_time": "时间",
  "fus.ev_top": "台分布 top: ",
  "fus.ev_units": "台数",
  "fus.ev_win": "时间窗 {win} · 顶部选择器可换",
  "fus.ev_wo_act": "处理",
  "fus.ev_wo_cause": "原因",
  "fus.ev_wo_name": "故障名称",
  "fus.eval_head": "评价体系 (规范化定义 — 两轴并存, 不可互相替代)",
  "fus.eval_meaning": "含义",
  "fus.eval_note": '设备状态答"这台设备现在怎么样" (危险 > 报警 > 良好 > 优秀 > 不可判); 证据状态答"这个判断有多可信" (定论 → INSUFFICIENT)。设备状态一律取自振动线的判级栏这一个来源。本页判级为转录, 不产新判级; 标注为参照同型机组/频谱信号级 (未定位到具体零件)/测量链/未对应到具体部件的行不作部件级结论消费; claim_window = 该结论的证据时间窗, 窗外状态该结论不背书。',
  "fus.eval_state": "设备状态 (业主统计方法)",
  "fus.eval_tier": "证据状态 (可信度)",
  "fus.eyebrow": "振动与 SCADA 证据视图 · 展示振动结论、SCADA 指标、报警与工单线索",
  "fus.fam_tip": "{n} 条 · 全场最多 {m} 条",
  "fus.legend_note": '两轴不可互相替代: "候选"说的是可信度不是设备好坏; "良好"说的是设备状态不是证据强度。设备状态只取自振动线的判级栏这一个来源。',
  "fus.legend_state": "格子颜色 = 设备状态 (业主统计方法, 与 windcms 报告同一套):",
  "fus.legend_tier": "徽章 = 证据状态 (可信度, windcms 九枚举):",
  "fus.loop_ba": "换前 → 换后 (同标尺)",
  "fus.loop_bound": "数据边界: {b}",
  "fus.loop_closed": "已闭环 · 换件后恢复 ({n} 例)",
  "fus.loop_date": "换件日",
  "fus.loop_el": "早期 → 近期 (同标尺)",
  "fus.loop_head": "维修后验证案例 (检出 → 换件 → 恢复)",
  "fus.loop_item": "事项",
  "fus.loop_neg": "负面对照: 工单后持平 {n} 例 (换件 ≠ 必然回落, 说明回落非巧合)。",
  "fus.loop_none": "暂无端到端闭环证据：现场提交的振动数据包里没有「报警→检修→复测」的成对记录",
  "fus.loop_note": "有换件记录且同一统计方法指标回落, 可作为检测链已闭合的案例; 指标仍在上升但缺少可匹配工单的机组, 需现场或台账确认后再关闭。",
  "fus.loop_ratio": "恢复比",
  "fus.loop_rising": "未闭环 · 指标上升待现场/工单确认 ({n} 台)",
  "fus.loop_state": "状态",
  "fus.loop_verdict": "判",
  "fus.loop_x": "倍比",
  "fus.lub_now": "润滑柱塞现状",
  "fus.lv.bad": "定论/报警级",
  "fus.lv.note": "候选/监视/观察级",
  "fus.lv.ok": "销案/无新证",
  "fus.lv.warn": "预警级",
  "fus.m.bad": "异常严重, 建议尽快停机检查",
  "fus.m.bad_e": "证据: 已定案",
  "fus.m.ex": "未见异常, 保持常规监视",
  "fus.m.ex_e": "证据: 仅记录 / 已取消",
  "fus.m.ok": "轻微偏离, 记录观察",
  "fus.m.ok_e": "证据: 待现场核实 / 已记为基线下窗观察",
  "fus.m.unk": "数据不足或监测中断 — 不等于正常",
  "fus.m.unk_e": "证据: 数据不足",
  "fus.m.warn": "存在需现场核实或处置的异常",
  "fus.m.warn_e": "证据: 基本确认 / 新出现待核实",
  "fus.matrix_foot": '润滑柱塞各台设定本就不同 (全场单次循环 22~961 秒), 所以此列只展示不判级, 只有已定案的机制链才标色; 油液多数台末次取样距今超 12 个月, 此列看的是"样够不够新", 不代表当前状态。',
  "fus.matrix_head": "全场融合矩阵 (38 台 × 6 个证据面)",
  "fus.matrix_note1": '各列取数窗口不同 (见列头) — 不同窗的两格同时发红不等于"同时发生", 不可当共时印证。',
  "fus.matrix_note2": '每格右侧曲线 = 逐月记忆轨迹 ({n} 个月, {m0} 起; 实心点 = 现窗) — 现窗快照会丢形态, 轨迹才看得见"塌→回升→翻转"类机制签名。',
  "fus.no_alarm": "时间窗内无报警",
  "fus.none_word": "无",
  "fus.oil_fresh": "近共时",
  "fus.oil_none": "无样",
  "fus.oil_stale": "stale > 12 个月",
  "fus.rule1": "① 同一失效机制的多个观测面 ≠ 多源印证 — 融合禁按源数加权 (29# 柱塞/温度/振动稳态/振动瞬态 = 四个观测面一条机制链)。",
  "fus.rule2": '② "没报警" ≠ "正常" — 在已知盲区上, 缺报警只说明监测面无效, 不说明设备无恙。',
  "fus.rules_head": "两条判读纪律 (随板块常显)",
  "fus.short.nodata": "数据不足",
  "fus.short.normal": "正常",
  "fus.short.nosample": "未取样",
  "fus.short.stale": "样龄过期",
  "fus.short.uneval": "未评估",
  "fus.short.unlisted": "未收录",
  "fus.sub.cms": "振动分析",
  "fus.sub.events": "报警工单",
  "fus.sub.loop": "端到端闭环",
  "fus.sub.matrix": "融合矩阵",
  "fus.sub.units": "逐台情况",
  "fus.temp_now": "温度轴现状",
  "fus.tip_state": " — 设备状态 {s}",
  "fus.tip_tier": " / 证据状态 {e}",
  "fus.unavailable": "融合面数据不可用: {e}",
  "fus.units_filter": " · 筛选: {l}",
  "fus.units_head": '逐台情况 (全场 {u} 台 / {n} 台次{f}; 深入谱图/波形 → "振动分析")',
  "fus.unlisted_head": "未列机组 {n} 台 (振动线未收录 — 未列 ≠ 正常)",
  "fus.unlisted_link": "未列 {n} 台",
  "fus.win_n": "{n} 个窗段",
  "fus.win_none": "未标窗",
  "fus.wo_n": "{n} 单",
  "fus.wo_none": "时间窗内无传动链工单",
  "gen.beta": "桨距调度同档差",
  "gen.beta_note": "同一功率档下的桨角与全场中位之差。{units} 偏离达中位的 {k} 倍 → {v}",
  "gen.cands": "曲线欠发筛查",
  "gen.cands_meta": "{note} · σ = {s}%",
  "gen.cap": "封顶参数落位",
  "gen.cap_note": "台数落在几个离散位置上, 不是连成一片 — 这是配置/版本差异的形状; 磨损或工况引起的会是连续散布。两轴各自成组且分组不同台 ⇒ 参数级差异, 成因须配置台账。",
  "gen.ctrl": "控制参数一致性",
  "gen.ctrl_win": "窗 {win}",
  "gen.eyebrow": "特性曲线与控制参数",
  "gen.figs": "七个镜头 · 逐档中位与同型机群残差",
  "gen.fixed_win": "随上方时间窗 · 按时间窗重算",
  "gen.loading": "正在计算七个镜头 (剥限电 · 逐档中位 · 同型机群残差)…",
  "gen.no_cands": "无候选",
  "gen.recomputing": "正在按所选时间窗重算七镜头…",
  "gen.recomputing_short": "正在按窗重算…",
  "gen.ruler": "尺子巡检 · 极差 ÷ σ",
  "gen.ruler_note": "判据自身的分辨力。38 台正态抽样的极差期望约 3.7σ, 明显超出即分布非单峰 — 与左图的分组互为印证; 落在期望附近的轴 (额定桨角) 则是连续分布。",
  "gen.win_range": "时间窗 {span}",
  "gen.win_why": '七镜头与月度时序都按所选时间窗重算（含自定义起止日期）。提示：2025-07 ~ 2025-12 是"限电前干净判别窗"——2026 起交易策略主导，曲线含策略性少发，作设备判据时须注意；选到含 2026 的窗时该影响存在但不再遮掩。',
  "kpi.alarm_units": "九系统有报警的台数 / 全场",
  "kpi.alarm_units.hint": "统计方法: 九系统 (叶片与叶根/变桨/偏航/齿轮箱/发电机/主轴承/变流器/塔架与基础/主控与传感网) 中任一被判「报警」即计一台。与下方「全场状态」格的统计方法不同 —— 那里按每台 振动/温度/润滑/油液/报警/工单 六列取最严一级, 所以两处数字可以不同, 不是矛盾。",
  "kpi.avail": "时间可用率 (不含调度令) · {win}",
  "kpi.curtail": "限电·绑定 电量损失",
  "kpi.downtime": "停机时长 · {n} 起",
  "kpi.loss": "停机电量损失 · {win}",
  "kpi.loss_dispatch": "另调度令 {n}",
  "kpi.mtbo": "平均停机间隔（MTBO；非行业 MTBF）",
  "loss.curtail_bound": "限电 (命令与实际功率对得上)",
  "loss.curtail_unbound": "限电命令期 · 功率未被压制",
  "loss.dispatch": "调度令停机",
  "loss.lowwind": "低风待机",
  "loss.normal": "正常发电时的欠发",
  "loss.stop": "故障与检修停机",
  "mdl.cloud": "云端",
  "mdl.deepseek-chat.nm": "DeepSeek",
  "mdl.deepseek-chat.t": "约 3 到 10 秒",
  "mdl.deepseek-r1:14b.nm": "本机 DeepSeek 14B · 审核档",
  "mdl.deepseek-r1:14b.t": "约 1 到 3 分钟",
  "mdl.deepseek-r1:32b.nm": "本机 DeepSeek 32B",
  "mdl.deepseek-r1:32b.t": "约 3 到 8 分钟",
  "mdl.deepseek-v4-pro.nm": "云端 DS",
  "mdl.deepseek-v4-pro.t": "约 2 到 6 分钟",
  "mdl.kimi-fast.nm": "Kimi",
  "mdl.kimi-fast.t": "约 5 到 20 秒",
  "mdl.local": "本地",
  "mdl.outbound_warn": "内容会外发到模型厂商, 场名与台号已去标识化",
  "mdl.qwen-plus.nm": "通义千问",
  "mdl.qwen-plus.t": "约 5 到 20 秒",
  "mdl.qwen3.8:27b.nm": "标准 27B · 复杂题",
  "mdl.qwen3.8:27b.t": "约 2 到 4 分钟",
  "mdl.qwen3:30b-a3b.nm": "快 30B (a3b)",
  "mdl.qwen3:30b-a3b.t": "约 20 到 60 秒",
  "mdl.qwen3:8b.nm": "轻量 8B · 默认",
  "mdl.qwen3:8b.t": "约 30 到 60 秒",
  "mdl.unknown_warn": "未知档位, 按内容会外发处理",
  "mdl.zero_outbound": "全程零外发",
  "mt.cov": "当前覆盖",
  "mt.eyebrow": "系统维护 · 数据输入与更新端口",
  "mt.fail": "盘点失败: {e}",
  "mt.freq": "频率",
  "mt.head": "数据维护面 · {n} 个源",
  "mt.how": "补数据怎么做",
  "mt.last": "末次更新",
  "mt.layer_data": "数据层",
  "mt.layer_data_note": "随运营滚动 — 新数据到位后跑摄入, 本体与判级自动刷新",
  "mt.layer_mech": "机理层",
  "mt.layer_mech_note": "相对稳定 — 换厂商资料或现场反馈修正时才动; 它是判据的地基, 变更须过审",
  "mt.note": '每个源给出: 当前覆盖 / 末次更新 / 约定位置 / 摄入命令 / 更新频率 / 责任方。要补数据就把新文件放到"约定位置"再跑"摄入命令"。',
  "mt.put": "放到:",
  "mt.resp": "责任",
  "mt.rows_n": " ({n} 条)",
  "mt.run": "跑:",
  "mt.src": "源",
  "mt.surveying": "盘点中…",
  "ov.all_steps_done": "已走完（待验收）",
  "ov.attention": "需要关注",
  "ov.attention_n": "{n} 台",
  "ov.basis_fusion": "本台依据来自融合面（九系统判级无「报警」行）：部件 {part} · 链路走到第 {done}/{n} 步 · 卡在「{stuck}」 · 证据源 {srcs}",
  "ov.caveat": "限定",
  "ov.evidence": "查看完整依据",
  "ov.fus_gap_hint": "这一面（需要关注 / 全场状态）取数来自融合面；缺件时如实为空，不从交付包补齐。在本机放好原始件后跑一次重算即会由观澜自己的生成端补上（scripts/rudong_fusion_handoff.py，见 docs 的「源代码化清单」）。",
  "ov.illustrative": "示意数据",
  "ov.no_srcs": "无（该台无外部证据源）",
  "ov.quiet": "其余 {n} 台未进入优先关注清单；设备状态请查看全场状态评估。",
  "ov.quiet_all": "当前优先关注清单为空；{n} 台机组的设备状态请查看全场状态评估。",
  "ov.ranked_by": "按 设备状态 × 证据量 排序",
  "ov.strip": "全场状态",
  "ov.strip_hint": "一格一台 · 点格定位",
  "ov.systems": "九系统",
  "ov.systems_hint": "点系统看逐台依据",
  "pop.acts": "动作统计",
  "pop.close": "关闭",
  "pop.loading": "载入中…",
  "pop.none": "本时间窗无记录",
  "pop.o_act": "处置",
  "pop.o_cause": "原因",
  "pop.o_check": "排查",
  "pop.o_date": "日期",
  "pop.o_fault": "故障",
  "pop.o_kind": "类别",
  "pop.orders": "工单 {n} 单",
  "pop.orders_none": "时间窗内无工单",
  "pop.orders_one": "工单 1 单",
  "pop.problem": "{u} · {sys}",
  "pop.unit": "{u} · 全部问题",
  "rpt.attrib.note": '"无记录停机"不是没有故障, 是没归上因。',
  "rpt.attrib.title": "归因覆盖",
  "rpt.aud_in": "场站内部 (全量)",
  "rpt.aud_up": "上报集团 (脱敏)",
  "rpt.b.attrib.d": "已归因 vs 无记录停机的占比 — 无记录不等于没有故障",
  "rpt.b.attrib.nm": "归因覆盖",
  "rpt.b.blame.d": '交易调度侧 / 设备侧 / 运行侧 三段占比 — 回答"谁的责任"',
  "rpt.b.blame.nm": "损失责任分账",
  "rpt.b.caliber.d": "统计期 / 残月 / 工单时间窗 / 判级性质 — 建议常驻, 没有边界的数字堆不能作汇报依据",
  "rpt.b.caliber.nm": "统计方法与适用边界",
  "rpt.b.chain.d": "证据→机制→判级→排期→动作→验收 六步的瓶颈分布",
  "rpt.b.chain.nm": "决策链进度",
  "rpt.b.emon.d": "逐月上网 / 损失 / 损失率 / 等效满发, 含数据覆盖率",
  "rpt.b.emon.nm": "逐月发电表",
  "rpt.b.frate.d": "按天归一的日均条数, 数据不满月单独标注",
  "rpt.b.frate.nm": "月度故障率",
  "rpt.b.kpi.d": "六个核心数: 上网电量 / 等效满发 / 可用率 / 损失率 / 停机间隔 / 需行动台",
  "rpt.b.kpi.nm": "一级指标",
  "rpt.b.loop.d": "检出 → 换件 → 复测回落的历史例证, 证明这条链是通的",
  "rpt.b.loop.nm": "闭环实证",
  "rpt.b.narr.d": "模型基于实测数据生成的运行总结 — 为图表补充文字结论, 供汇报使用",
  "rpt.b.narr.nm": "运行总结",
  "rpt.b.pareto.d": "按条数降序 + 累计 80% 线, 找关键少数",
  "rpt.b.pareto.nm": "故障帕累托",
  "rpt.b.parts.d": "逐部件停机时长 / 事件数 / 平均无故障间隔（MTBF）/ 单次停机时长（MDT）/ 影响机组数",
  "rpt.b.parts.nm": "部件停机表",
  "rpt.b.plan.d": "由数据推出的行动项, 不是套话",
  "rpt.b.plan.nm": "下期建议",
  "rpt.b.quad.d": "条数 × 单次时长, 区分重复触发与实际停机 — 按条数排序会误定优先级",
  "rpt.b.quad.nm": "故障四象限",
  "rpt.b.ram.d": '平均无故障间隔（MTBF）× 单次停机时长（MDT）部件象限, 分出"频发易修"与"罕发难修", 处置方向相反',
  "rpt.b.ram.nm": "可靠性象限",
  "rpt.b.units.d": "需跟踪台的部件 / 证据源 / 六步进度 / 卡在哪一步",
  "rpt.b.units.nm": "重点机组",
  "rpt.b.water.d": "理论可发 → 逐段扣损 → 实际上网, 用于定位电量流向",
  "rpt.b.water.nm": "能量瀑布",
  "rpt.blame.cal": "工况态分解 + 限电命令面绑定判别; 平均出力=实发÷台时, 用作风资源代理量",
  "rpt.blame.note": '进设备考核的只有"故障与检修停机"; 限电属交易与调度侧。',
  "rpt.blame.note2": '限电不是"低风时段收到的空令": 限电·绑定时段平均出力 1.435 MW, 正常发电时段 1.412 MW, 比值 1.02 — 风况相同而出力被压, 说明限电是真压制; 但"限电命令期·功率未被压制"那一档平均出力仅 0.724 MW (18% 额定), 确属低风时段收令。',
  "rpt.blame.title": "损失责任分账",
  "rpt.cal.deid": "脱敏",
  "rpt.cal.deid_d": "上报版隐去判据门槛与特征频率",
  "rpt.cal.denom": "可用率与损失率分母不同",
  "rpt.cal.denom_d": '可用率分母剔除低风待机与调度令(问"该发时能不能发"), 损失率分母含全部时段(问"理论能发多少"); 同一低风时段在可用率里不计时间、在损失率里计入基数 — 这是两个指标的设计差异不是错, 但两者不可直接相乘或互推。低风待机对损失的贡献仅 118 MWh(0.5%)',
  "rpt.cal.partial": " — {m} 数据不满月(覆盖 {c}%), 月度已按天归一",
  "rpt.cal.period": "统计期",
  "rpt.cal.rating": "判级",
  "rpt.cal.rating_d": "由振动/温度/润滑/油液四源融合得出; 行动等级由综合报告出具",
  "rpt.cal.stop": "停机",
  "rpt.cal.stop_d": "可靠性统计方法 ≥1h 段, 电量账为逐条工况态 — 两个数都对, 不可相减",
  "rpt.cal.title": "统计方法与数据边界",
  "rpt.cal.wo": "工单",
  "rpt.cal.wo_d": "台账 2020~2024-11, 本报告不对本期检修执行下结论",
  "rpt.caliber_lbl": "统计方法: ",
  "rpt.chain.cal": "「动作」一列不可判 — {b}",
  "rpt.chain.note": "六步: 证据 → 机制 → 判级 → 排期 → 动作 → 验收。当前 {s}。",
  "rpt.chain.title": "决策链进度",
  "rpt.chapters": "{n} 个章节",
  "rpt.cloud_note": "; 内容会外发到模型厂商",
  "rpt.compose": "生成",
  "rpt.compose_fail": "生成失败: {e}",
  "rpt.composed": "已按需求编排 {n} 块{narr} · {m} 用时 {s}s",
  "rpt.composing": "模型编排中… 挑组件 + 写总结",
  "rpt.emon.act": "上网 MWh",
  "rpt.emon.cal": "覆盖率<50% 的月不参与环比",
  "rpt.emon.cov": "覆盖",
  "rpt.emon.eflh": "等效满发 h",
  "rpt.emon.loss": "损失 MWh",
  "rpt.emon.m": "月",
  "rpt.emon.partial": " 不满月",
  "rpt.emon.pct": "损失率",
  "rpt.emon.title": "逐月发电",
  "rpt.empty_canvas": "画布是空的 — 先从组件库选内容",
  "rpt.export_docx": "导出 Word",
  "rpt.export_xlsx": "导出 Excel",
  "rpt.eyebrow": "汇报定制 · 画布",
  "rpt.facts.agg": "聚合层",
  "rpt.facts.sub": "{n} 条, 契约 {sha}; 数据/时间窗/结论只经契约更新",
  "rpt.facts.sys": "系统",
  "rpt.facts.text": "结论",
  "rpt.facts.title": "可交付级结论 · 契约生成",
  "rpt.facts.verdict": "裁决",
  "rpt.foot_asof": "出件 {d}",
  "rpt.foot_deid": "判据门槛与特征频率已脱敏",
  "rpt.foot_src": "数据源 SCADA 10min · 报警事件 · 工单台账 · CMS 振动 · 油液化验",
  "rpt.foot_trace": "结论可回溯至本体对象",
  "rpt.frate.cal": "不满月按天归一",
  "rpt.frate.note": "柱高=日均条数, 不是月总数。",
  "rpt.frate.title": "月度故障率",
  "rpt.g.end": "收尾",
  "rpt.g.flt": "故障",
  "rpt.g.gen": "发电",
  "rpt.g.rel": "可靠性",
  "rpt.g.unit": "机组",
  "rpt.grounded": "数字全部接地",
  "rpt.hint_idle": "悬停查看组件说明 · 已选组件再次点击移出 · 右侧 ↑↓ 调整顺序",
  "rpt.kpi.act": "上网电量",
  "rpt.kpi.action": "需行动机组",
  "rpt.kpi.action_n": "定论 {a} · 预警 {b} · 候选 {c}",
  "rpt.kpi.annual": "年化约 {v} h",
  "rpt.kpi.avail": "时间可用率",
  "rpt.kpi.avail_n": "不含调度令与低风待机",
  "rpt.kpi.eflh": "等效满发小时",
  "rpt.kpi.loss": "损失率",
  "rpt.kpi.mom": "环比 {v}%",
  "rpt.kpi.mom_na": "环比不可比(末月不满)",
  "rpt.kpi.mtbo": "平均停机间隔",
  "rpt.kpi.mtbo_n": "停机 {n} 起 · 单次均 {h}h",
  "rpt.kpi.theo": "理论可发 {v}",
  "rpt.library": "组件库",
  "rpt.library_note": "点击加入报告, 再次点击移出 · 画布里已有 {n} 块",
  "rpt.local_note": "; 数据不出本地",
  "rpt.loop.cal": "振动标量前后对比",
  "rpt.loop.comp": "部件",
  "rpt.loop.date": "换件日期",
  "rpt.loop.note": "这几台正是算法当初的检出台 ⇒ 故障前能看见、换件后能看见恢复。",
  "rpt.loop.post": "换后",
  "rpt.loop.pre": "换前",
  "rpt.loop.ratio": "比值",
  "rpt.loop.title": "端到端闭环实证",
  "rpt.narr.cal": "模型 {m} 生成 · 数字取自系统实测摘要 · 数据回抓校验{g}",
  "rpt.narr.empty": "还没有生成 — 在上面的交互窗输入报告要求。",
  "rpt.narr.g_n": "报 {n} 处待核",
  "rpt.narr.g_ok": "全通过",
  "rpt.narr.title": "运行总结",
  "rpt.narr.ungr": "⚠ 以下数值由模型自行推算, 不在原始数据摘要中, 引用前须核对: {v}",
  "rpt.narr_plus": " + 一段运行总结",
  "rpt.need_empty": "先输入报告要求",
  "rpt.need_head": "输入报告要求",
  "rpt.need_hint": "模型依据需求选取组件, 并基于实测数据生成运行总结",
  "rpt.need_ph": "例如: 上报集团月报, 侧重设备可靠性与重点机组",
  "rpt.no_compose": "本部署未启用编排接口, 画布仍可手动拼装",
  "rpt.no_models": "本部署未配置任何模型密钥, 编排不可用",
  "rpt.paper_sub": "统计期 {win} ｜ {n} 台",
  "rpt.paper_title": "运行分析报告",
  "rpt.pareto.cal": "报警事件表",
  "rpt.pareto.title": "故障帕累托",
  "rpt.parts.cal": "归因=段起点±30min 首发码",
  "rpt.parts.ev": "事件",
  "rpt.parts.ext": " (外部)",
  "rpt.parts.h": "停机h",
  "rpt.parts.mdt": "单次停机时长（MDT，h）",
  "rpt.parts.mtbf": "平均无故障间隔（MTBF，h）",
  "rpt.parts.part": "部件",
  "rpt.parts.title": "部件停机",
  "rpt.parts.units": "影响机组",
  "rpt.plan.1": '补机制定性 — {n} 台停在"判了级但根因未定", 是当前最大单一瓶颈',
  "rpt.plan.2": "回收 25~26 工单 — 台账止 2024-11, 本期检修执行与闭环无法自动判定",
  "rpt.plan.3": "油液采样节奏 — 四源里油液长期 stale, 只能作回测锚",
  "rpt.plan.4": "限电侧 — 损失六成在交易与调度侧, 设备侧改善空间有限",
  "rpt.plan.cal": "建议级 — 排期与动作须经审批",
  "rpt.plan.title": "下期计划与建议",
  "rpt.preset.blank": "空白画布",
  "rpt.preset.month": "月度运行分析",
  "rpt.preset.topic": "设备专题",
  "rpt.preset.week": "周报",
  "rpt.preset.year": "年度总结",
  "rpt.presets": "预设",
  "rpt.preview_empty": "文档预览窗 — 从上面的组件库点选内容, 此处显示报告预览",
  "rpt.print": "打印 / 存 PDF",
  "rpt.quad.cal": "纵界=10min(一个SCADA采样格)",
  "rpt.quad.note": "右下角报警码属重复触发, 不应按条数排定优先级。",
  "rpt.quad.title": "故障模式四象限",
  "rpt.ram.cal": "SCADA ≥1h 停机段, 不含调度令; 海上 MDT 含交通窗口",
  "rpt.ram.note": "设备类 {a}h / 外部类 {b}h (电网·风况·运维操作不计设备可靠性)",
  "rpt.ram.title": "可靠性 × 可维修性",
  "rpt.ungrounded_n": "{n} 个数字待核",
  "rpt.units.at": "卡在",
  "rpt.units.cal": "四源融合判级",
  "rpt.units.clear": "全通",
  "rpt.units.ev": "部件与证据",
  "rpt.units.head": "需跟踪 {n} 台 / {tot} ｜ 瓶颈 ",
  "rpt.units.prog": "进度",
  "rpt.units.rising": "在升 {r}×",
  "rpt.units.state": "状态",
  "rpt.units.stuck": "{n} 台卡在「{s}」",
  "rpt.units.title": "重点机组与处置",
  "rpt.up_note": "上报版 — 判据门槛与特征频率已脱敏",
  "rpt.up_tag": "上报版",
  "rpt.water.cal": "SCADA 10min 工况态分解; 损失=同工况理论出力与实测之差。量级自检为防虚高的下限校验, 不是风资源判据",
  "rpt.water.cap_bad": "量级自检: 理论 ≥ 全额定上限 {cap} MWh ✗ 数字不可信",
  "rpt.water.cap_ok": "量级自检: 理论低于全额定上限 {cap} MWh ✔",
  "rpt.water.note": "理论可发 {theo} = 上网 {act} + 损失 {loss} MWh ({pct}%)",
  "rpt.water.title": "发电完成情况",
  "rv.advci": "AdvCI",
  "rv.dual": "双模型审",
  "rv.lite": "lite",
  "rv.none": "未审",
  "st.bad": "危险",
  "st.excellent": "优秀",
  "st.ok": "良好",
  "st.ok_excellent": "良好 / 优秀",
  "st.unk": "不可判",
  "st.warn": "报警",
  "step.acceptance": "验收",
  "step.action": "动作",
  "step.evidence": "证据",
  "step.mechanism": "机制",
  "step.rating": "判级",
  "step.schedule": "排期",
  "step.site_records": "现场记录",
  "step.stuck_at": "卡在「{step}」",
  "sys.blade": "叶片与叶根",
  "sys.control": "主控与传感网",
  "sys.converter": "变流器",
  "sys.gearbox": "齿轮箱",
  "sys.generator": "发电机",
  "sys.main_bearing": "主轴承",
  "sys.other": "其他",
  "sys.pitch": "变桨",
  "sys.tower": "塔架与基础",
  "sys.yaw": "偏航",
  "tab.assistant": "检修助手",
  "tab.component": "部件问题",
  "tab.decision": "检修决策",
  "tab.energy": "电量算账",
  "tab.fault": "故障统计",
  "tab.generation": "发电性能",
  "tab.ontology": "本体",
  "tab.overview": "总览",
  "tab.report": "汇报定制",
  "tab.system": "系统维护",
  "tab.vibration": "振动融合分析",
  "tier.candidate": "候选",
  "tier.candidate.s": "候选",
  "tier.candidate_baseline": "候选·记基线",
  "tier.candidate_baseline.s": "候选·记基线",
  "tier.candidate_new": "候选·新发",
  "tier.candidate_new.s": "候选·新发",
  "tier.confirmed": "定论",
  "tier.confirmed.s": "定论",
  "tier.detail.不可判": "不可判",
  "tier.detail.仲裁输入": "仲裁输入",
  "tier.detail.优": "优",
  "tier.detail.优秀": "优秀",
  "tier.detail.传感器项": "传感器项",
  "tier.detail.候选": "候选",
  "tier.detail.候选·监视(复发)": "候选·监视(复发)",
  "tier.detail.候选·跟踪": "候选·跟踪",
  "tier.detail.危险": "危险",
  "tier.detail.可降": "可降",
  "tier.detail.复发候选(两轴合并)": "复发候选(两轴合并)",
  "tier.detail.定论": "定论",
  "tier.detail.弱同向新证": "弱同向新证",
  "tier.detail.报": "报",
  "tier.detail.报警": "报警",
  "tier.detail.本体无新证": "本体无新证",
  "tier.detail.正常": "正常",
  "tier.detail.正样本": "正样本",
  "tier.detail.温度单轴保留": "温度单轴保留",
  "tier.detail.监视": "监视",
  "tier.detail.监视(不开箱)": "监视(不开箱)",
  "tier.detail.良": "良",
  "tier.detail.良好": "良好",
  "tier.detail.蓄能失效候选(定向查)": "蓄能失效候选(定向查)",
  "tier.detail.观察": "观察",
  "tier.detail.观察(发电机侧)": "观察(发电机侧)",
  "tier.detail.记基线观察": "记基线观察",
  "tier.detail.销案(定论)": "销案(定论)",
  "tier.detail.降观察": "降观察",
  "tier.detail.预警": "预警",
  "tier.detail.预警·处置升急": "预警·处置升急",
  "tier.detail.预警·处置规划": "预警·处置规划",
  "tier.insufficient": "不足",
  "tier.insufficient.s": "不足",
  "tier.near": "准定论·预警",
  "tier.near.s": "准定论",
  "tier.normal": "正常",
  "tier.normal.s": "正常",
  "tier.reference": "参考",
  "tier.reference.s": "参考",
  "tier.withdrawn": "撤回",
  "tier.withdrawn.s": "撤回",
  "ui.all": "全部",
  "ui.back_portal": "← 返回门户",
  "ui.back_to": "← 返回{tab}",
  "ui.collapse": "收起",
  "ui.count": "条数",
  "ui.data_hidden": "({n} 处数据文本尚无英文，需复核)",
  "ui.date": "日期",
  "ui.empty": "无数据",
  "ui.error": "出错了",
  "ui.expand": "展开",
  "ui.loading": "载入中…",
  "ui.not_ported": "本页尚未迁入新版。",
  "ui.not_recorded": "台账未填",
  "ui.open": "查看 →",
  "ui.open_classic": "在经典版打开 →",
  "ui.query": "查询",
  "ui.reselect": "重新选择机组 / 测点",
  "ui.retry": "重试",
  "ui.system": "系统",
  "ui.unit": "机组",
  "ui.units": "机组",
  "ui.verbatim": "原始记录 (中文)",
  "ui.verbatim_note": "{n} 处为手册/工单原文, 无英文译本, 按原文转录。",
  "unit.h": "h",
  "unit.n": " 条",
  "unit.units": "台",
  "vp.(振动线未收录)": "(振动线未收录)",
  "vp.主轴承(后)+集中润滑泵": "主轴承(后)+集中润滑泵",
  "vp.发电机(引用同族, 见族主台)": "发电机(无本台独立证据, 参照同型机组)",
  "vp.发电机(未映射)": "发电机(未对应到具体部件)",
  "vp.发电机DE": "发电机DE",
  "vp.发电机DE+NDE(两端)": "发电机DE+NDE(两端)",
  "vp.发电机NDE": "发电机NDE",
  "vp.齿轮箱(未映射)": "齿轮箱(未对应到具体部件)",
  "vp.齿轮箱(测量链问题, 非部件)": "齿轮箱(测量链问题, 非部件)",
  "vp.齿轮箱(谱线级, 未映射到部件)": "齿轮箱(频谱信号级 (未定位到具体零件), 未对应到具体部件)",
  "vp.齿轮箱中间轴": "齿轮箱中间轴",
  "vp.齿轮箱二级行星内齿圈": "齿轮箱二级行星内齿圈",
  "vp.齿轮箱高速轴": "齿轮箱高速轴",
  "win.2025H2": "2025H2",
  "win.2026": "2026年",
  "win.2026H1": "2026H1",
  "win.30d": "近30日",
  "win.90d": "近90日",
  "win.all": "全程",
  "win.apply": "应用",
  "win.bad_order": "开始日期不能晚于结束日期",
  "win.banner": "时间窗 {win} · 本页全部数字随上方时间窗切换",
  "win.custom": "自定义",
  "win.custom_hint": "自定义起止日期（含两端）。日粒度件（判级/停机台账/曲线）按日精确；月度聚合件按所跨月份取整，图上会写明。",
  "win.custom_sel": "自定义 {a} ~ {b}",
  "win.from": "开始日期（含）",
  "win.label": "时间窗",
  "win.months": "按月",
  "win.need_both": "请把开始与结束日期都选上",
  "win.partial": "时间窗内 {m} 数据不满月 (覆盖 {c}%), 月度图已按天归一",
  "win.presets": "预设时间窗",
  "win.through": "至{date}",
  "win.to": "结束日期（含）"
};
function t(key, vars) {
  let s = ZH[key] ?? key;
  if (vars) {
    for (const [k, v] of Object.entries(vars)) s = s.split(`{${k}}`).join(String(v));
  }
  return s;
}
const TABS = [
  "overview",
  "energy",
  "component",
  "vibration",
  "generation",
  "fault",
  "decision",
  "assistant",
  "report",
  "system"
];
const DONE = ["overview", "energy", "component"];
const SYS9 = ["叶片与叶根", "变桨", "偏航", "齿轮箱", "发电机", "主轴承", "变流器", "塔架与基础", "主控与传感网"];
const SYS_KEY = {
  叶片与叶根: "blade",
  变桨: "pitch",
  偏航: "yaw",
  齿轮箱: "gearbox",
  发电机: "generator",
  主轴承: "main_bearing",
  变流器: "converter",
  塔架与基础: "tower",
  主控与传感网: "control",
  主轴: "main_bearing",
  其他: "other"
};
const SYS_ZH = (() => {
  const out = {};
  for (const zh of SYS9) out[SYS_KEY[zh]] = zh;
  for (const [zh, k] of Object.entries(SYS_KEY)) if (!(k in out)) out[k] = zh;
  return out;
})();
const sysSlug = (value) => SYS_KEY[String(value)] || String(value);
const sysFromSlug = (value) => SYS_ZH[String(value)] || String(value);
const sysName = (value) => {
  const key = SYS_KEY[String(value)] || String(value);
  return SYS_ZH[key] ? t("sys." + key) : String(value ?? "");
};
const partName = (p) => sysName(p);
const ST = { 危险: "bad", 报警: "warn", 不可判: "unk", 良好: "ok", 优秀: "ex" };
const ST_ALIAS = {
  critical: "bad",
  alarm: "warn",
  undeterminable: "unk",
  indeterminate: "unk",
  "not evaluable": "unk",
  good: "ok",
  excellent: "ex",
  warn: "warn",
  bad: "bad",
  ok: "ok",
  unk: "unk",
  ex: "ex"
};
const stateKey = (value) => ST[String(value)] || ST_ALIAS[String(value)];
const STEP = {
  证据: "evidence",
  机制: "mechanism",
  判级: "rating",
  排期: "schedule",
  动作: "action",
  验收: "acceptance"
};
const stKey = (k) => "st." + (k === "ex" ? "excellent" : k);
const unitNo = (wtg) => String(wtg).replace("WTG", "").replace(/^0/, "") + "#";
const fmt = (n, d = 0) => {
  if (n == null || typeof n === "number" && isNaN(n)) return "—";
  const num = Number(n);
  if (isNaN(num)) return "—";
  return num.toLocaleString("zh-CN", { maximumFractionDigits: d, minimumFractionDigits: d });
};
const stWord = (zh) => {
  const k = stateKey(zh);
  return k ? t(stKey(k)) : String(zh ?? "");
};
const COLS = ["振动", "温度", "润滑", "油液", "报警", "工单"];
function unitState(row) {
  const ks = COLS.map((c) => stateKey((row?.[c] || {}).ostate)).filter(Boolean);
  if (!ks.length) return "unk";
  if (ks.includes("bad")) return "bad";
  if (ks.includes("warn")) return "warn";
  const seen = ks.filter((k) => k !== "unk");
  if (!seen.length) return "unk";
  return seen.includes("ok") ? "ok" : "ex";
}
const SEV = {
  bad: "critical",
  warn: "warning",
  unk: "unknown",
  ok: "good",
  ex: "excellent"
};
const winName = (w) => String(w ?? "");
const _sfc_main$4 = /* @__PURE__ */ defineComponent({
  __name: "Component",
  __ssrInlineRender: true,
  props: {
    d: {},
    sys: {}
  },
  setup(__props) {
    const props = __props;
    const SD = computed(() => props.d?.sysdist || {});
    const rel = computed(() => props.d?.rel && !props.d.rel.err ? props.d.rel : null);
    const sysv = computed(() => props.sys ? sysFromSlug(props.sys) : null);
    const cards = computed(() => SYS9.filter((s) => SD.value[s]).map((s) => {
      const dist = SD.value[s];
      const a = dist["报警"] || 0;
      const u = dist["不可判"] || 0;
      const N = Object.values(dist).reduce((x, y) => x + y, 0) || 1;
      const col = a >= 8 ? "var(--critical)" : a >= 3 ? "var(--warning)" : a ? "var(--accent)" : "var(--good)";
      return { s, dist, a, u, N, col };
    }));
    const relRows = computed(() => {
      const tb = rel.value?.表 || [];
      const maxH = Math.max(1, ...tb.map((r) => r.停机时长h));
      return tb.map((r) => ({
        r,
        maxH,
        sev: r.部件 === "无记录停机" ? "var(--unknown)" : r.外部 ? "var(--accent)" : r.占停机 >= 0.06 ? "var(--critical)" : r.占停机 >= 0.03 ? "var(--warning)" : "var(--good)"
      }));
    });
    const detail = computed(() => {
      const s = sysv.value;
      if (!s) return null;
      const rows = (props.d?.systems || {})[s] || [];
      const dist = SD.value[s] || {};
      const gd = (props.d?.systems || {})[s + "·良好"] || [];
      const cnt = (k) => dist[k] || 0;
      const N = Object.values(dist).reduce((a, b) => a + b, 0) || 1;
      return {
        s,
        N,
        gd,
        cnt,
        al: rows.filter((r) => r.st === "报警"),
        un: rows.filter((r) => r.st === "不可判"),
        dist
      };
    });
    return (_ctx, _push, _parent, _attrs) => {
      if (detail.value) {
        _push(`<section${ssrRenderAttrs(_attrs)}><p class="small"><a href="#tab=component" data-back="1">${ssrInterpolate(unref(t)("ui.back_to", { tab: unref(t)("tab.component") }))}</a></p><div class="panel mb"><h3>${ssrInterpolate(unref(t)("cmp.detail_head", { sys: unref(sysName)(detail.value.s), n: detail.value.N }))}</h3><div style="${ssrRenderStyle({ "display": "flex", "height": "12px", "border-radius": "4px", "overflow": "hidden", "margin": "8px 0 4px" })}"><!--[-->`);
        ssrRenderList([["报警", "critical"], ["不可判", "unknown"], ["良好", "good"], ["优秀", "excellent"]], ([k, c]) => {
          _push(`<i style="${ssrRenderStyle(`width:${(detail.value.cnt(k) / detail.value.N * 100).toFixed(1)}%;background:var(--${c})`)}"></i>`);
        });
        _push(`<!--]--></div><div class="small muted">${ssrInterpolate(unref(t)("cmp.counts", { a: detail.value.cnt("报警"), u: detail.value.cnt("不可判"), g: detail.value.cnt("良好"), e: detail.value.cnt("优秀") }))}</div></div><!--[-->`);
        ssrRenderList([detail.value.al, detail.value.un], (list, kind) => {
          _push(`<div class="panel mb" style="${ssrRenderStyle(list.length ? null : { display: "none" })}"><h3>${ssrInterpolate(kind === 0 ? unref(t)("cmp.alarm_units") : unref(t)("cmp.unk_units"))} ${ssrInterpolate(unref(t)("cmp.n_units", { n: list.length }))}</h3><div class="tblwrap"><table><tr><th style="${ssrRenderStyle({ "width": "74px" })}">${ssrInterpolate(unref(t)("ui.unit"))}</th><th>${ssrInterpolate(unref(t)("cmp.why"))}</th><th class="r" style="${ssrRenderStyle({ "width": "96px" })}">${ssrInterpolate(unref(t)("cmp.detail"))}</th></tr><!--[-->`);
          ssrRenderList(list, (r) => {
            _push(`<tr><td><a${ssrRenderAttr("href", `/turbine/${r.t}`)}><b>${ssrInterpolate(unref(unitNo)(r.t))}</b></a></td><td class="small">${ssrInterpolate(r.why)}</td><td class="r"><a class="small"${ssrRenderAttr("href", `/problem/${r.t}/${encodeURIComponent(detail.value.s)}`)}>${ssrInterpolate(unref(t)("cmp.detail_link"))}</a></td></tr>`);
          });
          _push(`<!--]--></table></div></div>`);
        });
        _push(`<!--]-->`);
        if (detail.value.gd.length) {
          _push(`<details class="panel mb"><summary style="${ssrRenderStyle({ "cursor": "pointer", "font-weight": "600" })}">${ssrInterpolate(unref(t)("cmp.good_units", { n: detail.value.gd.length }))}</summary><div class="tblwrap"><table style="${ssrRenderStyle({ "margin-top": "10px" })}"><tr><th style="${ssrRenderStyle({ "width": "74px" })}">${ssrInterpolate(unref(t)("ui.unit"))}</th><th>${ssrInterpolate(unref(t)("cmp.why"))}</th></tr><!--[-->`);
          ssrRenderList(detail.value.gd, (r) => {
            _push(`<tr><td><b>${ssrInterpolate(unref(unitNo)(r.t))}</b></td><td class="small">${ssrInterpolate(r.why)}</td></tr>`);
          });
          _push(`<!--]--></table></div></details>`);
        } else {
          _push(`<!---->`);
        }
        if (!detail.value.al.length && !detail.value.un.length && !detail.value.gd.length) {
          _push(`<div class="panel"><p class="small">${ssrInterpolate(unref(t)("cmp.none"))}</p></div>`);
        } else {
          _push(`<!---->`);
        }
        _push(`</section>`);
      } else {
        _push(`<!--[-->`);
        if (__props.d.sysmx_pending) {
          _push(`<section><div class="panel mb small" style="${ssrRenderStyle({ "border-left": "3px solid var(--accent)" })}"><b>${ssrInterpolate(unref(t)("cmp.grading_pending"))}</b> ${ssrInterpolate(unref(t)("cmp.grading_pending_why", { span: __props.d.sysmx_span || "" }))}</div></section>`);
        } else {
          _push(`<!---->`);
        }
        _push(`<section><div class="eyebrow">${ssrInterpolate(unref(t)("cmp.by_system"))}</div><div class="panel mb"><div style="${ssrRenderStyle({ "display": "grid", "grid-template-columns": "repeat(auto-fit,minmax(170px,1fr))", "gap": "10px" })}"><!--[-->`);
        ssrRenderList(cards.value, (c) => {
          _push(`<div class="sysc" role="button" tabindex="0"${ssrRenderAttr("data-sys", unref(sysSlug)(c.s))} style="${ssrRenderStyle(`cursor:pointer;border-left:3px solid ${c.col}`)}"><div class="t"><b>${ssrInterpolate(unref(sysName)(c.s))}</b></div><div class="bar"><!--[-->`);
          ssrRenderList([["报警", "critical"], ["不可判", "unknown"], ["良好", "good"], ["优秀", "excellent"]], ([k, col]) => {
            _push(`<i style="${ssrRenderStyle([
              `width:${(c.dist[k] / c.N * 100).toFixed(1)}%;background:var(--${col})`,
              c.dist[k] ? null : { display: "none" }
            ])}"></i>`);
          });
          _push(`<!--]--></div><div class="small muted"><span>${unref(t)("cmp.alarm_n", { a: `<b style="color:${c.col}">${c.a}</b>` }) ?? ""}</span>`);
          if (c.u) {
            _push(`<span>${ssrInterpolate(unref(t)("cmp.unk_n", { u: c.u }))}</span>`);
          } else {
            _push(`<!---->`);
          }
          _push(`<span>${ssrInterpolate(unref(t)("cmp.fleet_n", { n: c.N }))}</span></div></div>`);
        });
        _push(`<!--]--></div><p class="small muted" style="${ssrRenderStyle({ "margin-top": "8px" })}">${ssrInterpolate(unref(t)("cmp.cards_note"))}</p></div></section>`);
        if (__props.d.rel && __props.d.rel.err) {
          _push(`<section><div class="panel mb" style="${ssrRenderStyle({ "border-left": "3px solid var(--critical)" })}"><p class="small">${ssrInterpolate(unref(t)("flt.block_err", { k: "rel", e: __props.d.rel.err }))}</p></div></section>`);
        } else if (rel.value) {
          _push(`<section><div class="eyebrow">${ssrInterpolate(unref(t)("cmp.rel_eyebrow", { win: rel.value.窗 }))}</div><div class="panel mb"><h3>${ssrInterpolate(unref(t)("cmp.rel_head"))} <span class="small muted" style="${ssrRenderStyle({ "font-weight": "400" })}">${ssrInterpolate(unref(t)("cmp.rel_meta", { t: rel.value.总停机h === void 0 ? "" : unref(fmt)(rel.value.总停机h) }))}</span></h3><div class="tblwrap"><table><tr><th>${ssrInterpolate(unref(t)("cmp.rel_part"))}</th><th>${ssrInterpolate(unref(t)("cmp.rel_h"))}</th><th class="r">${ssrInterpolate(unref(t)("cmp.rel_ev"))}</th><th class="r">${ssrInterpolate(unref(t)("cmp.rel_mtbo"))}</th><th class="r">${ssrInterpolate(unref(t)("cmp.rel_mdt"))}</th><th class="r">${ssrInterpolate(unref(t)("cmp.rel_units"))}</th><th>${ssrInterpolate(unref(t)("cmp.rel_fm"))}</th></tr><!--[-->`);
          ssrRenderList(relRows.value, (x) => {
            _push(`<tr><td><b>${ssrInterpolate(unref(partName)(x.r.部件))}</b>`);
            if (x.r.外部) {
              _push(`<span class="badge">${ssrInterpolate(unref(t)("cmp.external"))}</span>`);
            } else {
              _push(`<!---->`);
            }
            _push(`</td><td><i class="bar" style="${ssrRenderStyle(`width:${Math.round(x.r.停机时长h / x.maxH * 72)}px;background:${x.sev}`)}"></i><span class="num small">${ssrInterpolate(x.r.停机时长h)}h · ${ssrInterpolate((x.r["占停机"] * 100).toFixed(1))}%</span></td><td class="r">${ssrInterpolate(x.r.事件数)}</td><td class="r">${ssrInterpolate(x.r.外部 ? "—" : x.r.MTBF_h || "—")}</td><td class="r">${ssrInterpolate(x.r.MDT_h)}</td><td class="r">${ssrInterpolate(x.r.影响台数)}</td><td class="small">${ssrInterpolate(x.r.典型失效模式 || "—")}</td></tr>`);
          });
          _push(`<!--]--></table></div></div></section>`);
        } else {
          _push(`<!---->`);
        }
        if (__props.d.fus && !__props.d.fus.err) {
          _push(`<section><div class="panel mb"><p class="small">${ssrInterpolate(unref(t)("cmp.fusion_moved"))} <a href="#tab=vibration"><b>${ssrInterpolate(unref(t)("tab.vibration"))}</b></a></p></div></section>`);
        } else {
          _push(`<!---->`);
        }
        _push(`<section><div class="eyebrow">${ssrInterpolate(unref(t)("cmp.cross_eyebrow"))}</div><div class="panel mb"><h3>${ssrInterpolate(unref(t)("cmp.watch_head", { n: (__props.d.watch || []).length }))}</h3><div class="tblwrap"><table><tr><th>${ssrInterpolate(unref(t)("ui.unit"))}</th><th class="r">${ssrInterpolate(unref(t)("cmp.watch_n"))}</th><th>${ssrInterpolate(unref(t)("cmp.watch_sys"))}</th></tr><!--[-->`);
        ssrRenderList(__props.d.watch || [], (w) => {
          _push(`<tr><td><a${ssrRenderAttr("href", `/turbine/${w.t}`)}><b>${ssrInterpolate(unref(unitNo)(w.t))}</b></a></td><td class="r">${ssrInterpolate(w.n)}</td><td class="small"><!--[-->`);
          ssrRenderList(w.syss || [], (s, i) => {
            _push(`<a${ssrRenderAttr("href", `/problem/${w.t}/${encodeURIComponent(s)}`)}>`);
            if (i) {
              _push(`<span>、</span>`);
            } else {
              _push(`<!---->`);
            }
            _push(`${ssrInterpolate(unref(sysName)(s))}</a>`);
          });
          _push(`<!--]--></td></tr>`);
        });
        _push(`<!--]--></table></div></div></section><!--]-->`);
      }
    };
  }
});
const _sfc_setup$4 = _sfc_main$4.setup;
_sfc_main$4.setup = (props, ctx) => {
  const ssrContext = useSSRContext();
  (ssrContext.modules || (ssrContext.modules = /* @__PURE__ */ new Set())).add("src/views/Component.vue");
  return _sfc_setup$4 ? _sfc_setup$4(props, ctx) : void 0;
};
const _sfc_main$3 = /* @__PURE__ */ defineComponent({
  __name: "EChart",
  __ssrInlineRender: true,
  props: {
    option: {},
    height: {}
  },
  setup(__props) {
    const props = __props;
    const el = ref(null);
    let chart = null;
    async function draw() {
      if (!el.value) return;
      const echarts = await import("echarts");
      if (!chart) chart = echarts.init(el.value, void 0, { renderer: "canvas" });
      chart.setOption(props.option, true);
    }
    onMounted(draw);
    watch(() => props.option, draw, { deep: true });
    onBeforeUnmount(() => {
      if (chart) {
        chart.dispose();
        chart = null;
      }
    });
    return (_ctx, _push, _parent, _attrs) => {
      _push(`<div${ssrRenderAttrs(mergeProps({
        class: "echart",
        "data-chart": JSON.stringify(__props.option),
        style: `height:${__props.height || "260px"}`,
        ref_key: "el",
        ref: el
      }, _attrs))} data-v-999bee15></div>`);
    };
  }
});
const _export_sfc = (sfc, props) => {
  const target = sfc.__vccOpts || sfc;
  for (const [key, val] of props) {
    target[key] = val;
  }
  return target;
};
const _sfc_setup$3 = _sfc_main$3.setup;
_sfc_main$3.setup = (props, ctx) => {
  const ssrContext = useSSRContext();
  (ssrContext.modules || (ssrContext.modules = /* @__PURE__ */ new Set())).add("src/components/EChart.vue");
  return _sfc_setup$3 ? _sfc_setup$3(props, ctx) : void 0;
};
const EChart = /* @__PURE__ */ _export_sfc(_sfc_main$3, [["__scopeId", "data-v-999bee15"]]);
const _sfc_main$2 = /* @__PURE__ */ defineComponent({
  __name: "Energy",
  __ssrInlineRender: true,
  props: {
    d: {}
  },
  setup(__props) {
    const props = __props;
    const E = computed(() => (props.d?.control || {}).energy);
    const S = computed(() => (props.d?.control || {}).states || []);
    const LOSS = {
      "限电·绑定": "loss.curtail_bound",
      "限电命令·未绑定": "loss.curtail_unbound",
      "停机(调度令)": "loss.dispatch",
      停机: "loss.stop",
      正常发电: "loss.normal",
      低风待机: "loss.lowwind"
    };
    const lossName = (k) => LOSS[k] ? t(LOSS[k]) : k;
    const kpi = computed(() => {
      const e = E.value || {};
      return [
        { v: fmt(e.theo), u: "MWh", l: t("en.kpi_theo"), k: "" },
        { v: fmt(e.act), u: "MWh", l: t("en.kpi_act", { h: fmt(e.eflh) }), k: "ok" },
        { v: fmt(e.loss_pct, 1), u: "%", l: t("en.kpi_loss", { v: fmt(e.loss) }), k: e.loss_pct >= 10 ? "warn" : "" },
        {
          v: e.cap_ok ? t("en.cap_pass") : t("en.cap_fail"),
          u: "",
          l: t("en.cap_note", { op: e.cap_ok ? "<" : "≥", cap: fmt(e.cap) }),
          k: e.cap_ok ? "ok" : "bad"
        }
      ];
    });
    const waterfallOption = computed(() => {
      const e = E.value || {};
      const items = (e.items || []).map((x) => ({ name: x.k, value: Math.round(x.loss) }));
      return {
        title: { text: t("en.balance"), left: "center", textStyle: { fontSize: 13 } },
        tooltip: { trigger: "axis" },
        grid: { left: 60, right: 20, top: 44, bottom: 40 },
        xAxis: { type: "category", data: items.map((x) => x.name) },
        yAxis: { type: "value", name: "MWh" },
        series: [{ type: "bar", data: items.map((x) => x.value), itemStyle: { color: "#0b5fa5" } }],
        __data__: { theo: e.theo, act: e.act, loss: e.loss, loss_pct: e.loss_pct, items }
      };
    });
    const blameOption = computed(() => {
      const e = E.value || {};
      const items = (e.items || []).map((x) => ({ name: x.k, value: Math.round(x.loss) }));
      return {
        grid: { left: 80, right: 24, top: 20, bottom: 30 },
        xAxis: { type: "value", name: "MWh" },
        yAxis: { type: "category", data: items.map((x) => x.name) },
        series: [{ type: "bar", data: items.map((x) => x.value), itemStyle: { color: "#2f7dbf" } }],
        __data__: { items }
      };
    });
    const mxp = computed(() => Math.max(1, ...S.value.map((x) => x.pct)));
    return (_ctx, _push, _parent, _attrs) => {
      if (!E.value) {
        _push(`<section${ssrRenderAttrs(_attrs)}><div class="panel"><p class="small muted">${ssrInterpolate(unref(t)("ui.empty"))}</p></div></section>`);
      } else {
        _push(`<section${ssrRenderAttrs(_attrs)}><div class="kpis" style="${ssrRenderStyle({ "margin-bottom": "12px" })}"><!--[-->`);
        ssrRenderList(kpi.value, (k, i) => {
          _push(`<div class="${ssrRenderClass([k.k, "kpi"])}"><b>${ssrInterpolate(k.v)}`);
          if (k.u) {
            _push(`<small>${ssrInterpolate(k.u)}</small>`);
          } else {
            _push(`<!---->`);
          }
          _push(`</b><span>${ssrInterpolate(k.l)}</span></div>`);
        });
        _push(`<!--]--></div><div class="grid2"><div class="panel span2"><h3>${ssrInterpolate(unref(t)("en.balance"))} <span class="small muted" style="${ssrRenderStyle({ "font-weight": "400" })}">${ssrInterpolate(unref(t)("en.win", { win: unref(winName)(__props.d.win) }))}</span></h3>`);
        _push(ssrRenderComponent(EChart, {
          option: waterfallOption.value,
          height: "280px"
        }, null, _parent));
        _push(`</div><div class="panel"><h3>${ssrInterpolate(unref(t)("en.blame"))}</h3>`);
        _push(ssrRenderComponent(EChart, {
          option: blameOption.value,
          height: "240px"
        }, null, _parent));
        _push(`<p class="small muted" style="${ssrRenderStyle({ "margin-top": "6px" })}">${ssrInterpolate(unref(t)("en.blame_note", { n: unref(fmt)(Math.round(((E.value.items || []).find((x) => x.k === "停机") || {}).loss || 0)) }))}</p></div><div class="panel"><h3>${ssrInterpolate(unref(t)("en.states"))} <span class="small muted" style="${ssrRenderStyle({ "font-weight": "400" })}">${ssrInterpolate(unref(t)("en.win", { win: unref(winName)(__props.d.win) }))}</span></h3><div class="tblwrap"><table><tr><th>${ssrInterpolate(unref(t)("en.state"))}</th><th>${ssrInterpolate(unref(t)("en.share"))}</th><th class="r" style="${ssrRenderStyle({ "width": "90px" })}">${ssrInterpolate(unref(t)("en.loss_mwh"))}</th></tr><!--[-->`);
        ssrRenderList(S.value, (x) => {
          _push(`<tr><td class="small">${ssrInterpolate(lossName(x.k))}</td><td><i class="bar" style="${ssrRenderStyle(`width:${Math.round(x.pct / mxp.value * 84)}px;background:${x.k.indexOf("停机") >= 0 && x.k.indexOf("调度") < 0 ? "var(--critical)" : "var(--accent)"}`)}"></i><span class="num small">${ssrInterpolate(x.pct)}% · ${ssrInterpolate(unref(fmt)(Math.round(x.h)))}h</span></td><td class="r small">${ssrInterpolate(unref(fmt)(Math.round(x.loss)))}</td></tr>`);
        });
        _push(`<!--]--></table></div><p class="small muted" style="${ssrRenderStyle({ "margin-top": "6px" })}">${ssrInterpolate(__props.d.control.anchors || "")}<br>${ssrInterpolate(unref(t)("en.states_note"))}</p></div></div></section>`);
      }
    };
  }
});
const _sfc_setup$2 = _sfc_main$2.setup;
_sfc_main$2.setup = (props, ctx) => {
  const ssrContext = useSSRContext();
  (ssrContext.modules || (ssrContext.modules = /* @__PURE__ */ new Set())).add("src/views/Energy.vue");
  return _sfc_setup$2 ? _sfc_setup$2(props, ctx) : void 0;
};
const _sfc_main$1 = /* @__PURE__ */ defineComponent({
  __name: "Overview",
  __ssrInlineRender: true,
  props: {
    d: {}
  },
  setup(__props) {
    const props = __props;
    const F = computed(() => props.d?.fus || {});
    const M = computed(() => props.d?.m8?.mtbf || {});
    const C = computed(() => props.d?.control || {});
    const LS = computed(() => {
      const out = {};
      for (const x of C.value.states || []) out[x.k] = x.loss;
      return out;
    });
    const kpi = computed(() => {
      const c = C.value;
      const lossLabel = t("kpi.loss", { win: winName(props.d?.win) }) + (LS.value["停机(调度令)"] != null ? ` · ${t("kpi.loss_dispatch", { n: fmt(LS.value["停机(调度令)"]) })}` : "");
      return [
        { v: fmt(c.avail, 1), u: "%", l: t("kpi.avail", { win: winName(props.d?.win) }), k: c.avail >= 95 ? "ok" : "warn", ti: "" },
        { v: fmt(M.value.停机总时长h), u: "h", l: t("kpi.downtime", { n: fmt(M.value.停机事件数) }), k: "warn", ti: "" },
        { v: fmt(M.value.MTBF_h), u: "h", l: t("kpi.mtbo"), k: "", ti: "" },
        { v: fmt(LS.value["停机"]), u: "MWh", l: lossLabel, k: "", ti: "" },
        { v: fmt(LS.value["限电·绑定"]), u: "MWh", l: t("kpi.curtail"), k: "", ti: "" },
        {
          v: `${fmt(props.d?.kpi?.报警台)} / ${fmt(props.d?.kpi?.全场)}`,
          u: "",
          l: t("kpi.alarm_units"),
          k: props.d?.kpi?.报警台 ? "warn" : "ok",
          ti: t("kpi.alarm_units.hint")
        }
      ];
    });
    const why = computed(() => {
      const out = {};
      for (const w of props.d?.watch || []) out[w.t] = w.why;
      return out;
    });
    const rows = computed(() => ((F.value.链盘 || {}).rows || []).filter((r) => r.lvl === "bad" || r.lvl === "warn"));
    function basis(r) {
      const own = (why.value[r.t] || "").trim();
      if (own) return own;
      const stuckKey = STEP[r.stuck] || String(r.stuck || "").toLowerCase();
      const stuckStep = stuckKey === "evidence" ? t("step.site_records") : t("step." + (stuckKey || "evidence"));
      return t("ov.basis_fusion", {
        part: r.part || "—",
        done: r.done == null ? "—" : r.done,
        n: (r.steps || []).length || "—",
        stuck: r.stuck ? stuckStep : t("ov.all_steps_done"),
        srcs: (r.srcs || []).join(" / ") || t("ov.no_srcs")
      });
    }
    function stuckText(r) {
      if (!r.stuck) return "";
      const stuckKey = STEP[r.stuck] || String(r.stuck || "").toLowerCase();
      const stuckStep = stuckKey === "evidence" ? t("step.site_records") : t("step." + (stuckKey || "evidence"));
      return t("step.stuck_at", { step: stuckStep });
    }
    const mat = computed(() => F.value.矩阵 || []);
    const hot = computed(() => new Set(rows.value.map((r) => r.t)));
    return (_ctx, _push, _parent, _attrs) => {
      _push(`<!--[--><section><div class="kpis"><!--[-->`);
      ssrRenderList(kpi.value, (k, i) => {
        _push(`<div class="${ssrRenderClass([k.k, "kpi"])}"${ssrRenderAttr("title", k.ti || void 0)}><b>${ssrInterpolate(k.v)}`);
        if (k.u) {
          _push(`<small>${ssrInterpolate(k.u)}</small>`);
        } else {
          _push(`<!---->`);
        }
        _push(`</b><span>${ssrInterpolate(k.l)}</span></div>`);
      });
      _push(`<!--]--></div></section><section><div class="sechead"><h2>${ssrInterpolate(unref(t)("ov.attention"))}</h2><span class="meta">${ssrInterpolate(unref(t)("ov.attention_n", { n: rows.value.length }))}</span><span class="meta">${ssrInterpolate(unref(t)("ov.ranked_by"))}</span></div>`);
      if (F.value.gap) {
        _push(`<div class="card mb" style="${ssrRenderStyle({ "margin-bottom": "10px" })}"><p class="small" style="${ssrRenderStyle({ "color": "var(--warning)" })}">${ssrInterpolate(F.value.gap)}</p><p class="small muted">${ssrInterpolate(unref(t)("ov.fus_gap_hint"))}</p></div>`);
      } else {
        _push(`<!---->`);
      }
      _push(`<div class="cards"><!--[-->`);
      ssrRenderList(rows.value, (r) => {
        _push(`<div class="card"${ssrRenderAttr("id", `u-${r.t}`)} style="${ssrRenderStyle(`--sev:var(--${unref(SEV)[unref(stateKey)(r.ostate) || (r.lvl === "bad" ? "bad" : "warn")]})`)}"><div class="head"><a class="unit"${ssrRenderAttr("href", `/turbine/${r.t}`)}>${ssrInterpolate(unref(unitNo)(r.t))}</a><span class="sys">${ssrInterpolate(r.part || "")}</span><span class="${ssrRenderClass([unref(stateKey)(r.ostate) || (r.lvl === "bad" ? "bad" : "warn"), "chip"])}">${ssrInterpolate(unref(stWord)(r.ostate || (r.lvl === "bad" ? "危险" : "报警")))}</span></div><details class="evidence-detail"><summary>${ssrInterpolate(unref(t)("ov.evidence"))}</summary><div class="why">${ssrInterpolate(basis(r))}</div></details><div class="evid">`);
        if (r.estate) {
          _push(`<span class="${ssrRenderClass([r.estate, "tier"])}">${ssrInterpolate(unref(stWord)(r.estate))}</span>`);
        } else {
          _push(`<!---->`);
        }
        if (r.srcs && r.srcs.length) {
          _push(`<span class="rv">${ssrInterpolate(r.srcs.length)} sources</span>`);
        } else {
          _push(`<!---->`);
        }
        _push(`</div>`);
        if (stuckText(r) || r.next) {
          _push(`<div class="caveat"><b>${ssrInterpolate(unref(t)("ov.caveat"))}</b>${ssrInterpolate(stuckText(r))}${ssrInterpolate(stuckText(r) && r.next ? " — " : "")}${ssrInterpolate(r.next || "")}</div>`);
        } else {
          _push(`<!---->`);
        }
        _push(`</div>`);
      });
      _push(`<!--]--></div></section><section><div class="sechead"><h2>${ssrInterpolate(unref(t)("ov.strip"))}</h2><span class="meta">${ssrInterpolate(unref(t)("ov.strip_hint"))}</span><div class="legend"><!--[-->`);
      ssrRenderList(["bad", "warn", "unk", "ok", "ex"], (k) => {
        _push(`<span><i style="${ssrRenderStyle(`background:var(--${unref(SEV)[k]})`)}"></i>${ssrInterpolate(unref(t)(unref(stKey)(k)))}</span>`);
      });
      _push(`<!--]--></div></div><div class="strip" style="${ssrRenderStyle(`--n:${mat.value.length || 38}`)}"><div class="cells">`);
      if (mat.value.length) {
        _push(`<!--[-->`);
        ssrRenderList(mat.value, (r) => {
          _push(`<div class="${ssrRenderClass([[unref(unitState)(r), hot.value.has(r.turbine) ? "hot" : ""], "cell"])}"${ssrRenderAttr("data-u", r.turbine)}${ssrRenderAttr("title", `${unref(unitNo)(r.turbine)} ${unref(t)(unref(stKey)(unref(unitState)(r)))}`)}></div>`);
        });
        _push(`<!--]-->`);
      } else {
        _push(`<div class="quiet" style="${ssrRenderStyle({ "padding": "10px" })}">${ssrInterpolate(F.value.gap || unref(t)("ov.fus_gap_hint"))}</div>`);
      }
      _push(`</div><div class="nums"><!--[-->`);
      ssrRenderList(mat.value, (r) => {
        _push(`<span class="${ssrRenderClass(hot.value.has(r.turbine) ? "hot" : "")}">${ssrInterpolate(unref(unitNo)(r.turbine).replace("#", ""))}</span>`);
      });
      _push(`<!--]--></div><div class="quiet">${ssrInterpolate(rows.value.length ? unref(t)("ov.quiet", { n: Math.max(0, (mat.value.length || 38) - rows.value.length) }) : unref(t)("ov.quiet_all", { n: mat.value.length || 38 }))}</div></div></section><!--]-->`);
    };
  }
});
const _sfc_setup$1 = _sfc_main$1.setup;
_sfc_main$1.setup = (props, ctx) => {
  const ssrContext = useSSRContext();
  (ssrContext.modules || (ssrContext.modules = /* @__PURE__ */ new Set())).add("src/views/Overview.vue");
  return _sfc_setup$1 ? _sfc_setup$1(props, ctx) : void 0;
};
const _sfc_main = /* @__PURE__ */ defineComponent({
  __name: "Workbench",
  __ssrInlineRender: true,
  props: {
    d: {},
    tab: {},
    sys: {}
  },
  emits: ["tab"],
  setup(__props, { emit: __emit }) {
    const props = __props;
    const pending = computed(() => !DONE.includes(props.tab));
    return (_ctx, _push, _parent, _attrs) => {
      _push(`<!--[--><nav class="wb-tabs" data-v-3e81725a><!--[-->`);
      ssrRenderList(unref(TABS), (id) => {
        _push(`<button class="${ssrRenderClass({ on: id === __props.tab })}" data-v-3e81725a>${ssrInterpolate(unref(t)("tab." + id))}`);
        if (!unref(DONE).includes(id)) {
          _push(`<sup class="todo" data-v-3e81725a>迁移中</sup>`);
        } else {
          _push(`<!---->`);
        }
        _push(`</button>`);
      });
      _push(`<!--]--></nav><div class="page-head" data-v-3e81725a><h1 data-v-3e81725a>${ssrInterpolate(unref(t)("tab." + __props.tab))}</h1><span class="window-badge" data-v-3e81725a>${ssrInterpolate(unref(t)("win.l"))}${ssrInterpolate(__props.d?.win ?? "—")}</span></div>`);
      if (__props.tab === "overview") {
        _push(ssrRenderComponent(_sfc_main$1, { d: __props.d }, null, _parent));
      } else if (__props.tab === "energy") {
        _push(ssrRenderComponent(_sfc_main$2, { d: __props.d }, null, _parent));
      } else if (__props.tab === "component") {
        _push(ssrRenderComponent(_sfc_main$4, {
          d: __props.d,
          sys: __props.sys
        }, null, _parent));
      } else if (pending.value) {
        _push(`<section class="card" data-v-3e81725a><h2 data-v-3e81725a>${ssrInterpolate(unref(t)("tab." + __props.tab))} <small data-v-3e81725a>（本页签尚未迁移到 Vue）</small></h2><p class="hint" data-v-3e81725a> 迁移纪律：页签逐个搬，每搬一个就用 <code data-v-3e81725a>tools/render_parity.mjs</code> 与重构前页面 （现网 <code data-v-3e81725a>/detail/v2</code>）对拍文案/数值/类名序列，**通过后**才删对应的 Python 前端源码。 当前已迁移：${ssrInterpolate(unref(DONE).join("、"))}。 </p></section>`);
      } else {
        _push(`<!---->`);
      }
      _push(`<!--]-->`);
    };
  }
});
const _sfc_setup = _sfc_main.setup;
_sfc_main.setup = (props, ctx) => {
  const ssrContext = useSSRContext();
  (ssrContext.modules || (ssrContext.modules = /* @__PURE__ */ new Set())).add("src/views/Workbench.vue");
  return _sfc_setup ? _sfc_setup(props, ctx) : void 0;
};
const Workbench = /* @__PURE__ */ _export_sfc(_sfc_main, [["__scopeId", "data-v-3e81725a"]]);
async function renderTab(d, tab = "overview") {
  const app = createSSRApp(Workbench, { d, tab });
  return await renderToString(app);
}
export {
  renderTab
};