'use strict';

/**
 * 智能问数智能体 · 源侧字段与同行对标工具
 * ----------------------------------------------------------------------------
 * raw_inspect    取某行 raw 原始字段（环比差值/上期对比/同行均值排名，全字段落库），
 *                用于源侧交叉验证 —— 本地算的环比 vs 取数接口自带的环比差值
 * peer_benchmark 同行对标：门店×区间 自身值 vs 同行均值 vs 排名（字段白名单 =
 *                FIELD_MAP 键，蛇形命名与 historyOverview 一致）
 *
 * raw 字段命名以取数接口原样为准（已知后缀：<field>_mall_avg / <field>_mall_avg_rank，
 * 环比与上期对比后缀以实际返回为准）——工具按「包含匹配」取字段，不猜精确名。
 */

const { pickRow, ymdDash } = require('./lake.js');

// ---------- raw_inspect ----------

function rawSanitize(args, ctx) {
  const a = args || {};
  const date = /^\d{8}$/.test(String(a.date || '')) ? String(a.date) : '';
  if (!date) throw new Error('缺少 date（YYYYMMDD）');
  const { shops, dateRange } = ctx;
  if (date < dateRange.from || date > dateRange.to) throw new Error(`date 超出湖内区间（${dateRange.from} ~ ${dateRange.to}）`);
  let shopId = a.shopId != null ? String(a.shopId) : '';
  if (!shopId && Array.isArray(a.shops) && a.shops.length) {
    const nlQuery = require('../../../nl-query.js');
    const hit = nlQuery.matchShopsByName(shops, a.shops);
    if (!hit) throw new Error(`门店名未匹配：${a.shops.join('、')}`);
    shopId = String(hit[0]);
  }
  if (!shopId) {
    const first = (ctx.meta.shops || [])[0];
    if (!first) throw new Error('主体无门店清单');
    shopId = String(first.shopId);
  }
  const keys = (Array.isArray(a.keys) ? a.keys : []).map(String).slice(0, 6);
  return { date, shopId, keys };
}

function rawHandler(ctx, args) {
  const { svc, entityKey, meta } = ctx;
  const { date, shopId, keys } = args;
  const row = svc.store.queryRows(entityKey, { from: date, to: date, scope: 'shop', shopId })[0];
  if (!row) return { summary: `无该行：${ymdDash(date)} 门店 ${shopId}（当天可能缺数）。`, data: { date, shopId, found: false } };
  const shopName = row.shopName || (meta.shops || []).find((s) => String(s.shopId) === shopId)?.shopName || shopId;
  if (!row.raw || typeof row.raw !== 'object') {
    return { summary: `该行没有 raw 原始字段（旧版数据未经全字段落库，重新同步该区间即可补全）。`, data: { date, shopId, shopName, found: true, hasRaw: false } };
  }
  const wants = keys.length ? keys : ['gross_amt', 'valid_order_cnt'];
  const matched = Object.keys(row.raw).filter((k) => wants.some((w) => k.includes(w))).slice(0, 40);
  if (!matched.length) {
    return { summary: `raw 中未找到包含 ${wants.join('/')} 的字段（该行 raw 共 ${Object.keys(row.raw).length} 个字段）。`, data: { date, shopId, shopName, found: true, hasRaw: true, matched: [] } };
  }
  const picked = {};
  for (const k of matched) picked[k] = row.raw[k];
  const lines = [`${ymdDash(date)} 门店「${shopName}」的 raw 源侧字段（共匹配 ${matched.length} 个，字段名为取数接口原样命名）：`];
  for (const k of matched) lines.push(`  ${k} = ${row.raw[k] === '' || row.raw[k] == null ? '（空）' : row.raw[k]}`);
  return { summary: lines.join('\n'), data: { date, shopId, shopName, found: true, hasRaw: true, matched, values: picked, row: pickRow(row) } };
}

// ---------- peer_benchmark ----------

const BENCH_KEYS = [
  'valid_order_cnt', 'gross_amt', 'income_amt', 'expense_amt', 'exp_uv', 'order_user_cnt',
  'clk_exp_rate', 'ord_clk_rate', 'per_actual_pay', 'act_ord_cnt', 'act_shop_subsidy_amt', 'shop_roi', 'rebuy_rate_30d',
];

function benchSanitize(args, ctx) {
  const a = args || {};
  const field = String(a.field || 'gross_amt');
  if (!BENCH_KEYS.includes(field)) {
    throw new Error(`不支持的对标字段：${field}（可用：${BENCH_KEYS.join('、')}）`);
  }
  const { shops, dateRange } = ctx;
  const from = /^\d{8}$/.test(String(a.from || '')) ? String(a.from) : dateRange.from;
  const to = /^\d{8}$/.test(String(a.to || '')) ? String(a.to) : dateRange.to;
  let shopIds = null;
  if (Array.isArray(a.shops) && a.shops.length) {
    const nlQuery = require('../../../nl-query.js');
    shopIds = nlQuery.matchShopsByName(shops, a.shops);
    if (!shopIds) throw new Error(`门店名未匹配：${a.shops.join('、')}`);
  }
  return { field, from: from < dateRange.from ? dateRange.from : from, to: to > dateRange.to ? dateRange.to : to, shopIds };
}

function benchHandler(ctx, args) {
  const { svc, entityKey } = ctx;
  const { field, from, to, shopIds } = args;
  const camel = svc.FIELD_MAP[field];
  if (!camel) return { summary: `字段映射缺失：${field}`, data: { field } };
  const reg = new Map((svc.REPORT_COLUMNS || []).map((c) => [c.key, c]));
  const isPct = (reg.get(camel) || {}).type === 'pct';
  const label = (reg.get(camel) || {}).label || field;
  const avgKey = `${field}_mall_avg`;
  const rankKey = `${field}_mall_avg_rank`;

  let rows = svc.store.queryRows(entityKey, { from, to, scope: 'shop' });
  if (shopIds) {
    const wanted = new Set(shopIds.map(String));
    rows = rows.filter((r) => wanted.has(String(r.shopId)));
  }
  if (!rows.length) return { summary: `区间 ${ymdDash(from)} ~ ${ymdDash(to)} 无门店明细行。`, data: { field, from, to, shops: [] } };

  // 门店聚合：加性指标简单均值；率指标按曝光（clk_exp_rate）或进店人数（ord_clk_rate）加权
  const byShop = new Map();
  for (const r of rows) {
    const id = String(r.shopId);
    if (!byShop.has(id)) byShop.set(id, { shopId: id, shopName: r.shopName || id, days: 0, vW: 0, aW: 0, w: 0, ranks: [] });
    const agg = byShop.get(id);
    const v = Number(r[camel]) || 0;
    const avg = r.raw && r.raw[avgKey] != null && r.raw[avgKey] !== '' ? Number(r.raw[avgKey]) : null;
    const rank = r.raw && r.raw[rankKey] != null && r.raw[rankKey] !== '' ? Number(r.raw[rankKey]) : null;
    const weight = isPct ? (field === 'clk_exp_rate' ? (Number(r.expUv) || 0) : (Number(r.orderUserCnt) || 0)) : 1;
    agg.days += 1;
    if (weight > 0) { agg.vW += v * weight; agg.aW += (avg || 0) * weight; agg.w += weight; }
    if (rank != null) agg.ranks.push(rank);
  }

  const shops = [...byShop.values()].map((agg) => ({
    shopId: agg.shopId,
    shopName: agg.shopName,
    days: agg.days,
    own: agg.w > 0 ? Math.round((agg.vW / agg.w) * 100) / 100 : null,
    peerAvg: agg.w > 0 ? Math.round((agg.aW / agg.w) * 100) / 100 : null,
    rankAvg: agg.ranks.length ? Math.round((agg.ranks.reduce((s, x) => s + x, 0) / agg.ranks.length) * 10) / 10 : null,
    rankBest: agg.ranks.length ? Math.min(...agg.ranks) : null,
    rankWorst: agg.ranks.length ? Math.max(...agg.ranks) : null,
    hasPeer: agg.w > 0 && agg.aW > 0,
  })).sort((a, b) => (a.rankAvg ?? 999) - (b.rankAvg ?? 999));

  const lines = [`${label} 同行对标（${ymdDash(from)} ~ ${ymdDash(to)}，自身值与同行均值均为${isPct ? '加权平均' : '日均'}；排名越小越好）：`];
  for (const s of shops) {
    if (!s.hasPeer) {
      lines.push(`  ${s.shopName}：无同行数据（raw 缺失，重新同步该区间可补全）`);
      continue;
    }
    const vs = s.own != null && s.peerAvg ? `自身 ${s.own} vs 同行均值 ${s.peerAvg}` : '均值缺失';
    const rankTxt = s.rankAvg != null ? `平均排名 ${s.rankAvg}（最好 ${s.rankBest} / 最差 ${s.rankWorst}）` : '无排名';
    lines.push(`  ${s.shopName}：${vs}；${rankTxt}`);
  }
  return { summary: lines.join('\n'), data: { field, from, to, isPct, shops } };
}

module.exports = { rawSanitize, rawHandler, benchSanitize, benchHandler, BENCH_KEYS };