/**
 * **端到端**验证：真实 company_info → 真实分类接口 → 真实 DMS 两栏目。
 *
 * 与 `verify-company-classify-dms.mjs` 的分工：
 *   - 那个脚本**注入假分类响应**，验证「拿到结果之后」的落库链路（不需要后端配合，可反复跑）
 *   - 本脚本用**真实载荷**打真实分类接口，验证最后一公里（会真的调用 6 次 LLM、会真的写 DMS）
 *
 * 为什么载荷要从文件读、不内置：
 *   分类接口对**合成/精简的请求体一律返回 422**（2026-09-18 实测：文档里的示例片段、
 *   各种键名、`{"company":{}}` 全被拒；换成真实抓下来的 `company_info` 才 200）。
 *   所以这里不硬编码夹具，由调用方给一份**真实形态**的 company_info JSON。
 *
 * 怎么跑：
 *   1) npm run dev
 *   2) 把 /api/chat 的 result 事件里 data.company_info 对象存成 JSON 文件（整个对象，
 *      不含外层 company_info 键），例如 /tmp/company-info.json
 *   3) node harness/tools/verify-company-classify-e2e.mjs <company-info.json> [--cleanup]
 *
 * ⚠️ **默认不清理**：这份是真实企业数据，落库就是功能的正常行为（幂等，重复跑只更新）。
 *    加 `--cleanup` 会在验证后把该企业在本轮写下的行删掉（调试用）。
 */

process.env.NODE_TLS_REJECT_UNAUTHORIZED = '0';

import { readFileSync } from "node:fs";

const chatBase = process.env.CHAT_BASE || "https://localhost:8083/chat-api";
const dmsBase = process.env.DMS_BASE || "https://localhost:8083/dms-api";
globalThis.VITE_CHAT_API = chatBase;
globalThis.VITE_DMS_API = dmsBase;

const payloadPath = process.argv[2];
const cleanup = process.argv.includes("--cleanup");
if (!payloadPath) {
  console.error("用法：node verify-company-classify-e2e.mjs <company-info.json> [--cleanup]");
  process.exit(2);
}

const {
  classifyCompany,
  applyCompanyClassification,
  applyCompanyHonors,
  applyCompanyProfile,
  extractIdentityFromCompanyInfo,
  parseHonorRecords,
  readHonorsFromCompanyInfo,
  readProfileDataFromCompanyInfo,
  buildProfileFields,
  stableJson,
  HONOR_NAME_FIELD,
  ANGLE_TO_FIELD,
  DMS_COLUMN_ENTERPRISE,
  DMS_COLUMN_HONOR,
  deleteDmsContent,
  searchDmsContents,
} = await import("./_company-classify.mjs");

let pass = 0;
let fail = 0;
const check = (name, ok, extra = "") => {
  if (ok) {
    pass++;
    console.log(`  ok   ${name}`);
  } else {
    fail++;
    console.log(`  FAIL ${name}${extra === "" ? "" : ` → ${JSON.stringify(extra)}`}`);
  }
};

const companyInfo = JSON.parse(readFileSync(payloadPath, "utf8"));
const identity = extractIdentityFromCompanyInfo(companyInfo);
const creditCode = identity?.creditCode;
console.log(`载荷：${payloadPath}`);
console.log(`企业：${identity?.name || "?"} / ${creditCode || "?"}\n`);
if (!creditCode) {
  console.error("载荷里没有统一社会信用代码，无法继续");
  process.exit(2);
}

const findEnterprise = () =>
  searchDmsContents(DMS_COLUMN_ENTERPRISE, {
    search: [{ field: "c_credit_code", searchType: 1, content: { value: creditCode } }],
    page: 0,
    pageSize: 10,
  });
const findHonors = () =>
  searchDmsContents(DMS_COLUMN_HONOR, {
    search: [{ field: "c_credit_code", searchType: 1, content: { value: creditCode } }],
    page: 0,
    pageSize: 200,
  });

/* ---------------------------------------------------------------- *
 * ① 真实分类接口
 * ---------------------------------------------------------------- */
console.log("【1】真实分类接口（会调用 6 次 LLM，稍慢）");
const before = Date.now();
const classification = await classifyCompany(companyInfo);
console.log(`  （耗时 ${((Date.now() - before) / 1000).toFixed(1)}s）`);
check("接口返回了结果（非 null）", !!classification);
check(
  "返回的是 completed/partial（不是 failed）",
  classification?.status === "completed" || classification?.status === "partial",
  classification?.status
);
check("credit_code 与载荷一致", classification?.credit_code === creditCode, classification?.credit_code);
const cats = classification?.categories || {};
const angles = Object.keys(cats);
check("六个角度键齐全", angles.length === 6, angles);
check(
  "每个角度都是数组",
  angles.every((k) => Array.isArray(cats[k])),
  angles.map((k) => `${k}:${Array.isArray(cats[k])}`)
);
console.log(`  分类结果：${JSON.stringify(cats)}`);

/* ---------------------------------------------------------------- *
 * ② 落库（真实 DMS）
 * ---------------------------------------------------------------- */
console.log("\n【2】落库到 DMS 1888 / 1886");
await applyCompanyClassification(classification, identity);

const rows = await findEnterprise();
check("1888 有且只有一行", rows.length === 1, rows.length);
const row = rows[0] || {};
check("企业名/信用代码/法人已写入", row.c_name === identity.name && row.c_credit_code === creditCode && row.c_oper_name === identity.legalRep, {
  c_name: row.c_name,
  c_credit_code: row.c_credit_code,
  c_oper_name: row.c_oper_name,
});
/**
 * 库里的标签字段有两种合法形态：
 *   - 有标签 → JSON 数组字符串（如 `["第三产业","软件信息"]`）
 *   - 无标签 → **字段不存在**（DMS 不落空值；`[]` 也不会被写下去）
 * 所以断言要按「解码后的集合」比，不能按字符串比。
 */
const decodeTags = (value) => {
  if (typeof value !== "string" || !value.trim()) return [];
  try {
    const parsed = JSON.parse(value);
    return Array.isArray(parsed) ? parsed : [];
  } catch {
    return [];
  }
};
const sameSet = (a, b) => a.length === b.length && b.every((x) => a.includes(x));

for (const angle of angles) {
  const field = ANGLE_TO_FIELD[angle];
  const expectedTags = cats[angle] || [];
  const storedTags = decodeTags(row[field]);
  check(
    `1888 ${angle} → ${field}${expectedTags.length === 0 ? "（空集：字段不落库，语义等同）" : ""}`,
    sameSet(storedTags, expectedTags),
    { stored: row[field], storedTags, expectedTags }
  );
}

/* ---------------------------------------------------------------- *
 * ②b 荣誉（数据源 = company_info.honors.records）
 * ---------------------------------------------------------------- */
console.log("\n【2b】荣誉对齐到 1886（数据源 = company_info.honors.records）");
const honorParse = parseHonorRecords(readHonorsFromCompanyInfo(companyInfo));
console.log(`  载荷荣誉记录 ${honorParse.records.length} 条（complete=${honorParse.complete}，丢弃 ${honorParse.malformed} 条）`);
await applyCompanyHonors(readHonorsFromCompanyInfo(companyInfo), identity);

const honors = await findHonors();
check("1886 行数 = 载荷荣誉条数", honors.length === honorParse.records.length, {
  rows: honors.length,
  records: honorParse.records.length,
});
check(
  "每行都有荣誉名（title 与 c_honor）",
  honors.every((r) => typeof r[HONOR_NAME_FIELD] === "string" && r[HONOR_NAME_FIELD] && r.title === r[HONOR_NAME_FIELD]),
  honors.slice(0, 3).map((r) => ({ title: r.title, tag: r[HONOR_NAME_FIELD] }))
);
check(
  "级别/来源已写入",
  honors.every((r) => typeof r.c_level === "string" && typeof r.c_source === "string"),
  honors.slice(0, 3).map((r) => ({ level: r.c_level, source: r.c_source }))
);
const sampleRecord = honorParse.records[0];
check(
  "抽样比对：载荷第一条能在库里按「荣誉名+级别+来源」找到",
  !sampleRecord ||
    honors.some((r) => r[HONOR_NAME_FIELD] === sampleRecord.name && r.c_level === sampleRecord.level && r.c_source === sampleRecord.source),
  sampleRecord
);

/* ---------------------------------------------------------------- *
 * ②c 工商信息（profile.data → 1888，不依赖分类接口）
 * ---------------------------------------------------------------- */
console.log("\n【2c】工商信息同步（数据源 = company_info.profile.data）");
const profileData = readProfileDataFromCompanyInfo(companyInfo);
const desiredProfile = buildProfileFields(profileData);
// 先记下同步前那几列 JSON 的**原始字符串**：语义相同就不该被重写
const JSON_COLS = ["c_area", "c_original_name", "c_designated_representative_list", "c_revoke_info"];
const beforeRow = (await findEnterprise())[0] || {};
const beforeJson = Object.fromEntries(JSON_COLS.map((c) => [c, beforeRow[c]]));

await applyCompanyProfile(profileData, identity);
const afterRow = (await findEnterprise())[0] || {};

/**
 * 逐列比对时**不能按字符串比 JSON 列**：库里那几列是 DMS 侧灌进来的（Python/jsonb 序列化，
 * 带空格、键按字母序），我们按语义比较、不重写，所以字节不同但值相同 —— 这正是期望行为。
 */
const sameColumnValue = (col, stored, desired) => {
  if (!JSON_COLS.includes(col)) return stored === desired;
  const parse = (v) => {
    if (typeof v !== "string" || !v.trim()) return null;
    try {
      return JSON.parse(v);
    } catch {
      return v;
    }
  };
  return stableJson(parse(stored)) === stableJson(parse(desired));
};

check(
  "映射出的字段都进了库（JSON 列按语义比）",
  Object.entries(desiredProfile).every(([col, value]) => sameColumnValue(col, afterRow[col], value)),
  Object.entries(desiredProfile)
    .filter(([col, value]) => !sameColumnValue(col, afterRow[col], value))
    .map(([col, value]) => ({ col, desired: String(value).slice(0, 40), stored: String(afterRow[col]).slice(0, 40) }))
);
check(
  "抽样：经营状态 / 注册地址 / 注册资本 / 经营范围 已写入",
  afterRow.c_status === profileData.Status &&
    afterRow.c_address === profileData.Address &&
    afterRow.c_regist_capi === profileData.RegistCapi &&
    String(afterRow.c_scope || "").startsWith(String(profileData.Scope || "").slice(0, 20)),
  { c_status: afterRow.c_status, c_address: afterRow.c_address, c_regist_capi: afterRow.c_regist_capi }
);
check(
  "JSON 列语义正确（解析后按键排序比较，与载荷一致）",
  (() => {
    try {
      return stableJson(JSON.parse(afterRow.c_area)) === stableJson(profileData.Area);
    } catch {
      return false;
    }
  })(),
  afterRow.c_area
);
check(
  "**语义相同的 JSON 列被原样保留**（没有被我们重写成另一种格式）",
  JSON_COLS.every((c) => beforeJson[c] === undefined || afterRow[c] === beforeJson[c]),
  JSON_COLS.filter((c) => beforeJson[c] !== undefined && afterRow[c] !== beforeJson[c]).map((c) => ({ col: c, before: String(beforeJson[c]).slice(0, 60), after: String(afterRow[c]).slice(0, 60) }))
);
console.log(`  映射表覆盖 ${Object.keys(desiredProfile).length} 列（载荷 profile.data 共 ${Object.keys(profileData || {}).length} 个字段）`);

/* ---------------------------------------------------------------- *
 * ③ 幂等：再落一次
 * ---------------------------------------------------------------- */
console.log("\n【3】同样结果再落一次 → 零新增");
await applyCompanyClassification(classification, identity);
await applyCompanyHonors(readHonorsFromCompanyInfo(companyInfo), identity);
await applyCompanyProfile(profileData, identity);
const rows2 = await findEnterprise();
check("1888 仍是一行、uuid 未变", rows2.length === 1 && rows2[0]?.id === row.id, rows2.length);
const honors2 = await findHonors();
check("1886 行数未变", honors2.length === honors.length, { before: honors.length, after: honors2.length });
check(
  "1886 行 uuid 集合未变（没有删了又加）",
  JSON.stringify(honors2.map((r) => r.id).sort()) === JSON.stringify(honors.map((r) => r.id).sort())
);

/* ---------------------------------------------------------------- *
 * ④ 可选清理
 * ---------------------------------------------------------------- */
if (cleanup) {
  console.log("\n【4】--cleanup：删除本轮写入的行");
  for (const r of await findEnterprise()) if (typeof r.id === "string") await deleteDmsContent(DMS_COLUMN_ENTERPRISE, r.id);
  for (const r of await findHonors()) if (typeof r.id === "string") await deleteDmsContent(DMS_COLUMN_HONOR, r.id);
  check("1888 残留 0 行", (await findEnterprise()).length === 0);
  check("1886 残留 0 行", (await findHonors()).length === 0);
} else {
  console.log("\n【4】未加 --cleanup：数据保留（真实企业数据，功能正常行为）");
}

console.log(`\n===== 通过 ${pass} 项，失败 ${fail} 项 =====`);
process.exit(fail ? 1 : 0);