'use strict';

/**
 * 智能问数智能体 · 湖↔云比对工具
 * ----------------------------------------------------------------------------
 * aitable_verify：本地数据湖 vs 钉钉 AI 表格（在线主档案）只读比对。
 * 行数按粒度对比 + 共同行键的营业额抽样值比对，只读不写（记录接口无建列限流，
 * 但仍控制在整表拉一次）。云端未启用/配置不齐时优雅降级为说明性结论。
 * ctx.cloud 由路由层装配（aitable 服务实例）；未装配时同样优雅降级。
 */

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

function cloudSanitize(args, ctx) {
  const a = args || {};
  const { 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;
  return { from: from < dateRange.from ? dateRange.from : from, to: to > dateRange.to ? dateRange.to : to, sample: Math.min(Number(a.sample) > 0 ? Number(a.sample) : 5, 10) };
}

function rowKey(row) {
  return `${row.date}|${row.scope || ''}|${row.chainId == null ? '' : String(row.chainId)}|${row.shopId == null ? '' : String(row.shopId)}`;
}

async function cloudHandler(ctx, args) {
  const { svc, entityKey, cloud } = ctx;
  const { from, to, sample } = args;
  if (!cloud) {
    return {
      summary: '湖↔云比对不可用：云端服务未装配（仅云端协同模式提供）。',
      data: {
        available: false,
        verdicts: [{ kind: 'cloud', check: '湖↔云比对', status: 'warn', detail: '云端服务未装配' }],
      },
    };
  }
  let snapshot;
  try {
    snapshot = await cloud.snapshotForVerify(entityKey);
  } catch (e) {
    return {
      summary: `湖↔云比对不可用：${e.message || e}（云端未启用或配置不齐时属预期；如需比对请先到系统设置开启并测试连通）。`,
      data: { available: false, reason: String(e.message || e).slice(0, 200) },
      verdicts: [{ kind: 'cloud', check: '湖↔云比对', status: 'warn', detail: `云端不可用：${String(e.message || e).slice(0, 80)}` }],
    };
  }
  const inRange = (r) => String(r.date || '') >= from && String(r.date || '') <= to;
  const lines = [`湖↔云比对（区间 ${ymdDash(from)} ~ ${ymdDash(to)}，业务键 日期|维度|连锁|门店）：`];
  const perScope = [];
  let totalDiff = 0;
  const samples = [];
  for (const scope of ['shop', 'chain', 'company']) {
    const localRows = svc.store.queryRows(entityKey, { from, to, scope }).filter(inRange);
    const cloudRows = (snapshot[scope] || []).filter(inRange);
    const localMap = new Map(localRows.map((r) => [rowKey(r), r]));
    const cloudMap = new Map(cloudRows.map((r) => [rowKey(r), r]));
    let onlyLocal = 0;
    let onlyCloud = 0;
    let valueDiff = 0;
    const shared = [];
    for (const [k, r] of localMap) {
      if (!cloudMap.has(k)) { onlyLocal += 1; continue; }
      shared.push([k, r, cloudMap.get(k)]);
    }
    for (const k of cloudMap.keys()) if (!localMap.has(k)) onlyCloud += 1;
    for (const [k, lr, cr] of shared) {
      const lv = Number(lr.grossAmt) || 0;
      const cv = Number(cr.grossAmt) || 0;
      if (Math.abs(lv - cv) > Math.max(lv * 0.005, 1)) {
        valueDiff += 1;
        if (samples.length < sample) samples.push({ scope, key: k, local: Math.round(lv * 100) / 100, cloud: Math.round(cv * 100) / 100 });
      }
    }
    perScope.push({ scope, local: localRows.length, cloud: cloudRows.length, onlyLocal, onlyCloud, valueDiff, shared: shared.length });
    totalDiff += onlyLocal + onlyCloud + valueDiff;
  }
  const label = { shop: '门店明细', chain: '连锁汇总', company: '公司汇总' };
  for (const s of perScope) {
    lines.push(`  ${label[s.scope]}：本地 ${s.local} 行 / 云端 ${s.cloud} 行（仅本地 ${s.onlyLocal}、仅云端 ${s.onlyCloud}、抽样值不一致 ${s.valueDiff}）`);
  }
  if (samples.length) {
    lines.push(`抽样值差异示例：${samples.map((s) => `${label[s.scope]} ${s.key} 本地 ${s.local} vs 云端 ${s.cloud}`).join('；')}`);
  }
  const ok = totalDiff === 0;
  if (!ok) lines.push('湖与云端存在差异：通常由「上次同步/推送之后本地又有新数据」导致，可到数据采集页推送或从中台拉取后再问。');
  else lines.push('湖与云端一致。');
  return {
    summary: lines.join('\n'),
    data: {
      available: true, from, to, perScope, samples,
      verdicts: [{
        kind: 'cloud', check: `湖↔云一致性（${ymdDash(from)} ~ ${ymdDash(to)}）`,
        status: ok ? 'ok' : 'warn',
        detail: ok ? '三表行数与抽样值一致' : `差异 ${totalDiff} 处（行数或抽样值）`,
      }],
    },
  };
}

module.exports = { cloudSanitize, cloudHandler };