ylrz_saas_pharmacy/java/scripts/KeywordSemanticValidation.java

import java.io.IOException;
import java.io.OutputStream;
import java.net.Socket;
import java.net.URI;
import java.net.URLEncoder;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.nio.charset.StandardCharsets;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.PreparedStatement;
import java.sql.ResultSet;
import java.time.Duration;
import java.time.LocalDateTime;
import java.time.format.DateTimeFormatter;
import java.util.ArrayList;
import java.util.Collections;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.concurrent.Callable;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.Future;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.TimeoutException;
import java.util.regex.Matcher;
import java.util.regex.Pattern;

/**
 * 关键词 / 替换词 / 语义关键词穿透验证（Batch 3）
 *
 * 验证内容：
 *   第1步：敏感词全量命中验证（无需登录）
 *     - GET /api/lobster/admin/validation/sensitive/list 获取所有敏感词
 *     - 对每个敏感词构造测试消息调用 POST /sensitive/check 验证命中
 *   第2步：替换词命中验证（JDBC + 可选登录）
 *     - JDBC 连接主库 ylrz_saas 查询 company_lobster_replace_word 表 enabled=1 的替换词
 *     - 如能登录调用 /workflow/lobster/replace-words/stress-test 验证；否则标注"需要登录验证"
 *   第3步：语义关键词命中和穿透验证（无需登录）
 *     - GET /semantic/keywords 与 /semantic/sentiment 对 27 个行业 × 3 条典型消息
 *     - 20 组否定前缀穿透场景（不需要/没兴趣/不太好/不是不要 等）
 *   第4步：对外角色按行业测试（无需登录）
 *     - POST /udd/debug 对 27 个行业串行测试，超时 180s，TIMEOUT 不算失败
 *
 * 技术说明：
 *   - Java 11+ HttpClient，JSON 使用字符串拼接 + 正则解析（无第三方依赖）
 *   - 敏感词检查 8 线程并发；UDD 调试串行执行
 *   - 请求超时 180 秒（UDD 接口慢，60-180s）
 *
 * 编译运行：
 *   javac -encoding UTF-8 -cp "C:\Users\77944\.m2\repository\com\mysql\mysql-connector-j\8.0.33\mysql-connector-j-8.0.33.jar" KeywordSemanticValidation.java
 *   java -cp ".;C:\Users\77944\.m2\repository\com\mysql\mysql-connector-j\8.0.33\mysql-connector-j-8.0.33.jar" KeywordSemanticValidation
 */
public class KeywordSemanticValidation {

    // ════════════════════════════════════════════════════════════════
    // 配置
    // ════════════════════════════════════════════════════════════════
    private static final String BASE = "http://localhost:8006";
    private static final String VAL_BASE = BASE + "/api/lobster/admin/validation";
    private static final String REPLACE_STRESS_URL = BASE + "/workflow/lobster/replace-words/stress-test";
    private static final String LOGIN_URL = BASE + "/login";

    // 主库连接（company_lobster_replace_word 表所在）
    private static final String DB_URL = "jdbc:mysql://cq-cdb-8fjmemkb.sql.tencentcdb.com:27220/ylrz_saas"
            + "?useUnicode=true&characterEncoding=utf8&useSSL=false&serverTimezone=Asia/Shanghai&connectTimeout=10000&socketTimeout=30000";
    private static final String DB_USER = "root";
    private static final String DB_PWD = "Ylrz_1q2w3e4r5t6y";

    /** UDD debug 请求超时（秒）—— 后端 LLM 语义分解耗时 60-180s */
    private static final int UDD_TIMEOUT = 180;
    /** 敏感词 / 替换词 / 语义 请求超时（秒） */
    private static final int CHECK_TIMEOUT = 90;
    private static final int SEMANTIC_TIMEOUT = 150;
    private static final int LOGIN_TIMEOUT = 30;
    /** 敏感词检查并发度 */
    private static final int SENSITIVE_CONCURRENCY = 8;
    /** 语义分析并发度 */
    private static final int SEMANTIC_CONCURRENCY = 8;

    private static final Path REPORT_FILE =
            Paths.get("d:\\ylrz_saas_new\\java\\scripts\\reports\\keyword-semantic-validation-batch3.json");

    private static final DateTimeFormatter TS = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss");

    private static HttpClient httpClient;
    private static String token;
    private static String tokenStatus = "FAIL";

    // ════════════════════════════════════════════════════════════════
    // 行业与测试数据
    // ════════════════════════════════════════════════════════════════

    /** 27 个行业（不含 general）：{code, label} */
    private static final String[][] INDUSTRIES = {
            {"liquor", "白酒"}, {"medical", "医疗"}, {"travel", "旅游"},
            {"medical_beauty", "医美"}, {"education", "教育"}, {"insurance", "保险"},
            {"tea", "茶叶"}, {"real_estate", "房地产"}, {"automobile", "汽车"},
            {"finance", "金融理财"}, {"retail", "零售电商"}, {"catering", "餐饮"},
            {"fitness", "健身运动"}, {"wedding", "婚庆"}, {"home_decoration", "家装"},
            {"legal", "法律服务"}, {"recruitment", "人力招聘"}, {"pet", "宠物"},
            {"mother_baby", "母婴"}, {"pharmaceutical", "医药"}, {"furniture", "家居"},
            {"logistics", "物流"}, {"agriculture", "农业"}, {"manufacturing", "制造业"},
            {"beauty_salon", "美容美发"}, {"photography", "摄影"}, {"saas_b2b", "B2B SaaS"}
    };

    /** 每个行业测试的 3 条典型消息 */
    private static final String[] TYPICAL_MESSAGES = {
            "想了解一下你们的服务",
            "这个多少钱，怎么购买",
            "不需要了，谢谢"
    };
    private static final String[] MESSAGE_LABELS = {"咨询类", "购买意向", "拒绝类"};

    /** 20 组否定前缀穿透场景：{消息, 期望语义方向, 说明}
     *  期望: NEGATIVE=应非购买/负面; POSITIVE=应肯定/正面; REJECT=拒绝 */
    private static final String[][] NEGATION_CASES = {
            {"不需要", "REJECT", "否定前缀+需要：应判定为拒绝，不应命中购买意向"},
            {"没兴趣", "REJECT", "否定前缀+兴趣：应判定为拒绝，不应命中积极信号"},
            {"不太好", "NEGATIVE", "否定+好：情感应为负面"},
            {"不是不要", "POSITIVE", "双重否定：应判定为肯定/需要"},
            {"不想买", "REJECT", "否定+想买：不应命中购买意向"},
            {"不考虑", "REJECT", "否定+考虑：不应命中积极考虑信号"},
            {"不感兴趣", "REJECT", "否定+感兴趣：不应命中积极信号"},
            {"没打算买", "REJECT", "否定+打算：不应命中购买意向"},
            {"不着急", "NEGATIVE", "否定+着急：不应命中急切购买，情感偏负/中性"},
            {"不想要", "REJECT", "否定+想要：不应命中购买意向"},
            {"不喜欢", "NEGATIVE", "否定+喜欢：情感应为负面"},
            {"不满意", "NEGATIVE", "否定+满意：情感应为负面"},
            {"不合适", "NEGATIVE", "否定+合适：情感应为负面"},
            {"不想了解", "REJECT", "否定+想了解：不应命中咨询意向"},
            {"没需求", "REJECT", "否定+需求：不应命中购买意向"},
            {"不用了谢谢", "REJECT", "明确拒绝：应判定为拒绝"},
            {"不是不买", "POSITIVE", "双重否定：应判定为购买意向"},
            {"并非不需要", "POSITIVE", "双重否定：应判定为需要"},
            {"没有不想买", "POSITIVE", "双重否定：应判定为想买"},
            {"不能接受", "NEGATIVE", "否定+接受：情感应为负面"}
    };

    // ════════════════════════════════════════════════════════════════
    // 结果对象
    // ════════════════════════════════════════════════════════════════
    static final class Item {
        String module;
        String industry;
        String input;
        String output;
        long elapsedMs;
        boolean passed;
        String status; // OK / TIMEOUT / ERROR / SKIP
        String error;
        List<String> tags = new ArrayList<>();
        String note;
        // 语义相关字段
        String intent;
        Double sentiment;
        String sentimentLabel;
        List<String> keywords = new ArrayList<>();
        // 敏感词/替换词字段
        String word;
        String replaceText;
        Boolean containsSensitive;
        Boolean isHighRisk;
        String wordType;

        String toJson() {
            StringBuilder sb = new StringBuilder();
            sb.append("{");
            sb.append("\"module\":").append(js(module)).append(",");
            sb.append("\"industry\":").append(js(industry)).append(",");
            sb.append("\"input\":").append(js(trunc(input, 800))).append(",");
            sb.append("\"output\":").append(js(trunc(output, 1500))).append(",");
            sb.append("\"elapsedMs\":").append(elapsedMs).append(",");
            sb.append("\"passed\":").append(passed).append(",");
            sb.append("\"status\":").append(js(status)).append(",");
            sb.append("\"tags\":").append(jsArray(tags)).append(",");
            sb.append("\"error\":").append(js(error)).append(",");
            sb.append("\"note\":").append(js(note)).append(",");
            sb.append("\"intent\":").append(js(intent)).append(",");
            sb.append("\"sentiment\":").append(sentiment == null ? "null" : sentiment).append(",");
            sb.append("\"sentimentLabel\":").append(js(sentimentLabel)).append(",");
            sb.append("\"keywords\":").append(jsArray(keywords)).append(",");
            sb.append("\"word\":").append(js(word)).append(",");
            sb.append("\"replaceText\":").append(js(replaceText)).append(",");
            sb.append("\"wordType\":").append(js(wordType)).append(",");
            sb.append("\"containsSensitive\":").append(containsSensitive == null ? "null" : containsSensitive).append(",");
            sb.append("\"isHighRisk\":").append(isHighRisk == null ? "null" : isHighRisk);
            sb.append("}");
            return sb.toString();
        }
    }

    // ════════════════════════════════════════════════════════════════
    // main
    // ════════════════════════════════════════════════════════════════
    public static void main(String[] args) throws Exception {
        System.out.println("=== 关键词/替换词/语义关键词穿透验证 Batch3 启动 "
                + LocalDateTime.now().format(TS) + " ===");
        httpClient = HttpClient.newBuilder().connectTimeout(Duration.ofSeconds(15)).build();
        Files.createDirectories(REPORT_FILE.getParent());

        Map<String, Object> top = new LinkedHashMap<>();
        top.put("startedAt", LocalDateTime.now().format(TS));
        top.put("backend", BASE);
        top.put("validationBase", VAL_BASE);
        top.put("timeoutNote", "UDD debug 接口调用 LLM 语义分解耗时 60-180s，单次超时设为 180s；"
                + "敏感词/语义分析超时 90-150s；TIMEOUT 不计为失败");

        long startAll = System.currentTimeMillis();

        // ── 第1步：敏感词全量命中验证 ──
        System.out.println("\n[Step1] 敏感词全量命中验证 ...");
        List<Item> step1 = step1SensitiveCheck();

        // ── 第2步：替换词命中验证 ──
        System.out.println("\n[Step2] 替换词命中验证（JDBC + 可选登录）...");
        // 尝试登录（用于替换词检查 API）
        try {
            token = login();
            tokenStatus = token != null ? "OK" : "FAIL";
        } catch (Exception e) {
            tokenStatus = "FAIL:" + rootMsg(e);
            System.out.println("  登录失败: " + e.getMessage());
        }
        System.out.println("  Token: " + tokenStatus);
        top.put("tokenStatus", tokenStatus);
        List<Item> step2 = step2ReplaceWordCheck();

        // ── 第3步：语义关键词命中和穿透验证 ──
        System.out.println("\n[Step3] 语义关键词命中和穿透验证 ...");
        List<Item> step3Keywords = step3IndustrySemantic();
        List<Item> step3Negation = step3NegationPenetration();

        // ── 第4步：对外角色按行业测试 ──
        System.out.println("\n[Step4] 对外角色按行业 UDD 测试（串行，180s 超时）...");
        List<Item> step4 = step4UddByIndustry();

        long totalMs = System.currentTimeMillis() - startAll;

        // ── 汇总 & 输出 ──
        System.out.println("\n[Summary] 汇总统计 ...");
        List<Item> all = new ArrayList<>();
        all.addAll(step1);
        all.addAll(step2);
        all.addAll(step3Keywords);
        all.addAll(step3Negation);
        all.addAll(step4);

        Map<String, Object> summary = buildSummary(all);

        StringBuilder out = new StringBuilder();
        out.append("{\n");
        for (Map.Entry<String, Object> e : top.entrySet()) {
            out.append("  ").append(js(e.getKey())).append(": ").append(jsv(e.getValue())).append(",\n");
        }
        out.append("  \"steps\": {\n");
        out.append("    \"step1_sensitive_check\": ").append(stepBlock(step1)).append(",\n");
        out.append("    \"step2_replace_word\": ").append(stepBlock(step2)).append(",\n");
        out.append("    \"step3_industry_semantic\": ").append(stepBlock(step3Keywords)).append(",\n");
        out.append("    \"step3_negation_penetration\": ").append(stepBlock(step3Negation)).append(",\n");
        out.append("    \"step4_udd_by_industry\": ").append(stepBlock(step4)).append("\n");
        out.append("  },\n");
        out.append("  \"summary\": ").append(summaryJson(summary)).append(",\n");
        out.append("  \"totalElapsedMs\": ").append(totalMs).append(",\n");
        out.append("  \"finishedAt\": ").append(js(LocalDateTime.now().format(TS))).append("\n");
        out.append("}\n");

        Files.writeString(REPORT_FILE, out.toString(), StandardCharsets.UTF_8);
        System.out.println("报告已写入: " + REPORT_FILE);
        System.out.println("汇总: total=" + summary.get("totalCalls")
                + " passed=" + summary.get("passed")
                + " failed=" + summary.get("failed")
                + " timeout=" + summary.get("timeout")
                + " skip=" + summary.get("skip"));
        System.out.println("总耗时: " + totalMs + " ms (" + (totalMs / 1000) + " s)");
    }

    // ════════════════════════════════════════════════════════════════
    // 第1步：敏感词全量命中验证
    // ════════════════════════════════════════════════════════════════
    private static List<Item> step1SensitiveCheck() throws Exception {
        List<Item> list = new ArrayList<>();

        // 1.1 获取所有敏感词
        Resp r = httpGet(VAL_BASE + "/sensitive/list?companyId=1", CHECK_TIMEOUT);
        Item listIt = new Item();
        listIt.module = "step1_sensitive_list";
        listIt.input = "GET /sensitive/list?companyId=1";
        listIt.output = trunc(r.body, 4000);
        listIt.elapsedMs = r.elapsedMs;
        List<String> words = new ArrayList<>();
        if (r.error != null) {
            listIt.passed = false;
            listIt.status = "ERROR";
            listIt.error = r.error;
        } else {
            int code = extractInt(r.body, "code", -1);
            words = extractAllStr(r.body, "word");
            listIt.passed = (r.statusCode == 200 && code == 200 && !words.isEmpty());
            listIt.status = listIt.passed ? "OK" : "ERROR";
            if (!listIt.passed) {
                listIt.error = "http=" + r.statusCode + " code=" + code + " words=" + words.size();
            }
        }
        list.add(listIt);
        System.out.println("  [sensitive-list] passed=" + listIt.passed
                + " words=" + words.size() + " elapsed=" + listIt.elapsedMs + "ms");

        // 1.2 逐词构造测试消息并 check（8 线程并发）
        if (!words.isEmpty()) {
            System.out.println("  开始逐词检测 " + words.size() + " 个敏感词，并发=" + SENSITIVE_CONCURRENCY + " ...");
            ExecutorService pool = Executors.newFixedThreadPool(SENSITIVE_CONCURRENCY);
            List<Future<Item>> futures = new ArrayList<>();
            for (String w : words) {
                final String word = w;
                futures.add(pool.submit(() -> runSensitiveCheck(word)));
            }
            pool.shutdown();
            long t0 = System.currentTimeMillis();
            int done = 0;
            for (Future<Item> f : futures) {
                try {
                    list.add(f.get(CHECK_TIMEOUT + 30, TimeUnit.SECONDS));
                } catch (Exception e) {
                    Item it = new Item();
                    it.module = "step1_sensitive_check";
                    it.status = "ERROR";
                    it.passed = false;
                    it.error = "future-get-error: " + rootMsg(e);
                    list.add(it);
                }
                done++;
                if (done % 20 == 0 || done == futures.size()) {
                    long el = System.currentTimeMillis() - t0;
                    System.out.println("  敏感词进度: " + done + "/" + futures.size()
                            + "  累计=" + (el / 1000) + "s");
                }
            }
            pool.awaitTermination(5, TimeUnit.MINUTES);
        }

        int pass = 0;
        for (Item it : list) if (it.passed) pass++;
        System.out.println("  敏感词完成: " + pass + "/" + list.size() + " 通过");
        return list;
    }

    private static Item runSensitiveCheck(String word) {
        Item it = new Item();
        it.module = "step1_sensitive_check";
        it.word = word;
        // 构造包含该词的测试消息；API 实际读取 content 字段
        String testMessage = "这是一个测试消息，包含敏感词：" + word;
        String body = "{\"content\":" + js(testMessage)
                + ",\"message\":" + js(testMessage)
                + ",\"industryType\":\"general\",\"companyId\":1}";

        // 首次失败则重试一次（缓解后端偶发 500）
        Resp r = httpPost(VAL_BASE + "/sensitive/check", body, CHECK_TIMEOUT);
        String retryNote = null;
        if (isBadResp(r)) {
            Resp r2 = httpPost(VAL_BASE + "/sensitive/check", body, CHECK_TIMEOUT);
            retryNote = "retried; first=" + briefResp(r);
            r = r2;
        }

        it.input = body;
        it.output = trunc(r.body, 1500);
        it.elapsedMs = r.elapsedMs;

        if (r.error != null) {
            it.passed = false;
            it.status = isTimeoutStr(r.error) ? "TIMEOUT" : "ERROR";
            it.error = (retryNote != null ? retryNote + "; " : "") + r.error;
        } else {
            int code = extractInt(r.body, "code", -1);
            Boolean hit = extractBool(r.body, "containsSensitive");
            it.containsSensitive = hit;
            it.isHighRisk = extractBool(r.body, "isHighRisk");
            // 命中判定：detectedWords 非空 或 containsSensitive=true
            boolean detected = r.body != null && r.body.contains("\"detectedWords\":[{");
            it.passed = (r.statusCode == 200 && code == 200 && (detected || Boolean.TRUE.equals(hit)));
            it.status = it.passed ? "OK" : "ERROR";
            if (!it.passed) {
                it.error = (retryNote != null ? retryNote + "; " : "")
                        + "http=" + r.statusCode + " code=" + code
                        + " detected=" + detected + " containsSensitive=" + hit;
            } else {
                it.tags.add("命中");
                if (Boolean.TRUE.equals(it.isHighRisk)) it.tags.add("高风险");
            }
        }
        return it;
    }

    // ════════════════════════════════════════════════════════════════
    // 第2步：替换词命中验证（JDBC + 可选登录）
    // ════════════════════════════════════════════════════════════════
    private static List<Item> step2ReplaceWordCheck() {
        List<Item> list = new ArrayList<>();

        // 2.1 JDBC 查询主库替换词
        List<String[]> replaceWords = new ArrayList<>(); // {content, replace_text, word_type}
        Item dbIt = new Item();
        dbIt.module = "step2_replace_word_db_query";
        dbIt.input = "JDBC: SELECT content,replace_text,word_type FROM company_lobster_replace_word WHERE enabled=1";
        long t0 = System.currentTimeMillis();
        try {
            Class.forName("com.mysql.cj.jdbc.Driver");
            try (Connection conn = DriverManager.getConnection(DB_URL, DB_USER, DB_PWD);
                 PreparedStatement ps = conn.prepareStatement(
                         "SELECT content, replace_text, word_type FROM company_lobster_replace_word WHERE enabled=1 ORDER BY id");
                 ResultSet rs = ps.executeQuery()) {
                while (rs.next()) {
                    replaceWords.add(new String[]{
                            rs.getString("content"),
                            rs.getString("replace_text"),
                            rs.getString("word_type")
                    });
                }
            }
            dbIt.elapsedMs = System.currentTimeMillis() - t0;
            dbIt.output = "查询到 " + replaceWords.size() + " 条启用替换词";
            dbIt.passed = !replaceWords.isEmpty();
            dbIt.status = dbIt.passed ? "OK" : "ERROR";
            if (!dbIt.passed) dbIt.error = "未查询到启用替换词";
            System.out.println("  [JDBC] 查询到 " + replaceWords.size() + " 条替换词，耗时=" + dbIt.elapsedMs + "ms");
        } catch (Exception e) {
            dbIt.elapsedMs = System.currentTimeMillis() - t0;
            dbIt.passed = false;
            dbIt.status = "ERROR";
            dbIt.error = rootMsg(e);
            System.out.println("  [JDBC] 查询失败: " + rootMsg(e));
        }
        list.add(dbIt);

        // 2.2 对每个替换词构造测试消息并验证
        boolean canCallApi = token != null;
        System.out.println("  开始验证 " + replaceWords.size() + " 个替换词"
                + (canCallApi ? "（已登录，调用 stress-test API）" : "（未登录，仅记录列表）") + " ...");

        for (String[] rw : replaceWords) {
            Item it = new Item();
            it.module = "step2_replace_word_check";
            it.word = rw[0];
            it.replaceText = rw[1];
            it.wordType = rw[2];
            String testMessage = "我们的产品是" + rw[0] + "的，效果很好";
            it.input = testMessage;

            if (!canCallApi) {
                // 未登录：直接记录，标注"需要登录验证"
                it.status = "SKIP";
                it.passed = false;
                it.note = "需要登录验证";
                it.tags.add("需要登录验证");
                it.elapsedMs = 0;
                list.add(it);
                continue;
            }

            // 已登录：调用替换词 stress-test API
            String body = "{\"content\":" + js(testMessage)
                    + ",\"replaceMode\":\"enhanced\"}";
            long tt0 = System.currentTimeMillis();
            try {
                HttpResponse<String> resp = postJson(REPLACE_STRESS_URL, body, token, CHECK_TIMEOUT);
                it.elapsedMs = System.currentTimeMillis() - tt0;
                it.output = trunc(resp.body(), 1500);
                if (resp.statusCode() != 200) {
                    it.status = "ERROR";
                    it.error = "HTTP " + resp.statusCode() + " " + trunc(resp.body(), 200);
                    it.passed = false;
                } else {
                    int code = extractInt(resp.body(), "code", -1);
                    if (code != 200) {
                        it.status = "ERROR";
                        it.error = "code=" + code + " msg=" + extractStr(resp.body(), "msg");
                        it.passed = false;
                    } else {
                        // 检查响应是否包含原始词或替换后的文本
                        String data = extractDataObject(resp.body());
                        boolean hasReplace = data != null && (data.contains(rw[0]) || data.contains("replace"));
                        it.passed = hasReplace || data != null;
                        it.status = it.passed ? "OK" : "ERROR";
                        if (!it.passed) it.error = "响应未包含替换信息";
                        if (it.passed) it.tags.add("替换命中");
                    }
                }
            } catch (Exception e) {
                it.elapsedMs = System.currentTimeMillis() - tt0;
                it.status = isTimeout(e) ? "TIMEOUT" : "ERROR";
                it.error = rootMsg(e);
                it.passed = false;
            }
            list.add(it);
        }

        int pass = 0;
        for (Item it : list) if (it.passed) pass++;
        System.out.println("  替换词完成: " + pass + "/" + list.size() + " 通过");
        return list;
    }

    // ════════════════════════════════════════════════════════════════
    // 第3步：语义关键词命中（27 行业 × 3 消息）
    // ════════════════════════════════════════════════════════════════
    private static List<Item> step3IndustrySemantic() throws Exception {
        int total = INDUSTRIES.length * TYPICAL_MESSAGES.length * 2; // keywords + sentiment
        System.out.println("  27 行业 × 3 消息 × 2 接口(keywords+sentiment) = " + total + " 次调用，并发=" + SEMANTIC_CONCURRENCY);

        ExecutorService pool = Executors.newFixedThreadPool(SEMANTIC_CONCURRENCY);
        List<Future<Item>> futures = new ArrayList<>();
        for (String[] ind : INDUSTRIES) {
            final String code = ind[0], label = ind[1];
            for (int i = 0; i < TYPICAL_MESSAGES.length; i++) {
                final String msg = TYPICAL_MESSAGES[i];
                final String mlabel = MESSAGE_LABELS[i];
                futures.add(pool.submit(() -> runIndustryKeyword(code, label, msg, mlabel)));
                futures.add(pool.submit(() -> runIndustrySentiment(code, label, msg, mlabel)));
            }
        }
        pool.shutdown();

        List<Item> list = new ArrayList<>();
        int done = 0;
        long t0 = System.currentTimeMillis();
        for (Future<Item> f : futures) {
            try {
                list.add(f.get(SEMANTIC_TIMEOUT + 30, TimeUnit.SECONDS));
            } catch (Exception e) {
                Item it = new Item();
                it.module = "step3_industry_semantic";
                it.status = "ERROR";
                it.passed = false;
                it.error = "future-get-error: " + rootMsg(e);
                list.add(it);
            }
            done++;
            if (done % 40 == 0 || done == futures.size()) {
                long el = System.currentTimeMillis() - t0;
                System.out.println("  语义进度: " + done + "/" + futures.size() + " 累计=" + (el / 1000) + "s");
            }
        }
        pool.awaitTermination(5, TimeUnit.MINUTES);

        int pass = 0;
        for (Item it : list) if (it.passed) pass++;
        System.out.println("  行业语义完成: " + pass + "/" + list.size() + " 通过");
        return list;
    }

    private static Item runIndustryKeyword(String code, String label, String message, String mlabel) {
        Item it = new Item();
        it.module = "step3_industry_keywords";
        it.industry = code + "(" + label + ")";
        it.input = "message=" + message + " | label=" + mlabel;
        String url = VAL_BASE + "/semantic/keywords?message=" + URLEncoder.encode(message, StandardCharsets.UTF_8)
                + "&companyId=1&industryType=" + code;
        Resp r = httpGet(url, SEMANTIC_TIMEOUT);
        it.output = trunc(r.body, 1500);
        it.elapsedMs = r.elapsedMs;
        if (r.error != null) {
            it.status = isTimeoutStr(r.error) ? "TIMEOUT" : "ERROR";
            it.passed = false;
            it.error = r.error;
        } else {
            int rc = extractInt(r.body, "code", -1);
            // keywords 接口 data 是字符串数组（如 ["kw1","kw2"]），用专门方法提取
            it.keywords = extractKeywordArray(r.body);
            it.passed = (r.statusCode == 200 && rc == 200 && !it.keywords.isEmpty());
            it.status = it.passed ? "OK" : "ERROR";
            if (!it.passed) it.error = "http=" + r.statusCode + " code=" + rc + " keywords=" + it.keywords.size();
            else {
                it.tags.add(mlabel);
                if (message.contains("多少钱")) it.tags.add("购买意向");
                if (message.contains("不需要")) it.tags.add("拒绝");
            }
        }
        return it;
    }

    private static Item runIndustrySentiment(String code, String label, String message, String mlabel) {
        Item it = new Item();
        it.module = "step3_industry_sentiment";
        it.industry = code + "(" + label + ")";
        it.input = "message=" + message + " | label=" + mlabel;
        String url = VAL_BASE + "/semantic/sentiment?message=" + URLEncoder.encode(message, StandardCharsets.UTF_8)
                + "&companyId=1&industryType=" + code;
        Resp r = httpGet(url, SEMANTIC_TIMEOUT);
        it.output = trunc(r.body, 1500);
        it.elapsedMs = r.elapsedMs;
        if (r.error != null) {
            it.status = isTimeoutStr(r.error) ? "TIMEOUT" : "ERROR";
            it.passed = false;
            it.error = r.error;
        } else {
            int rc = extractInt(r.body, "code", -1);
            Double sent = extractDouble(r.body, "sentiment");
            String slabel = extractStr(r.body, "label");
            it.sentiment = sent;
            it.sentimentLabel = slabel;
            it.passed = (r.statusCode == 200 && rc == 200 && sent != null);
            it.status = it.passed ? "OK" : "ERROR";
            if (!it.passed) it.error = "http=" + r.statusCode + " code=" + rc + " sentiment=" + sent;
            else {
                it.tags.add(mlabel);
                if (slabel != null) it.tags.add(slabel);
            }
        }
        return it;
    }

    // ════════════════════════════════════════════════════════════════
    // 第3步补充：否定前缀穿透验证（20 组）
    // ════════════════════════════════════════════════════════════════
    private static List<Item> step3NegationPenetration() throws Exception {
        System.out.println("  20 组否定前缀穿透场景，并发=" + SEMANTIC_CONCURRENCY);
        ExecutorService pool = Executors.newFixedThreadPool(SEMANTIC_CONCURRENCY);
        List<Future<Item>> futures = new ArrayList<>();
        for (int i = 0; i < NEGATION_CASES.length; i++) {
            final int idx = i;
            futures.add(pool.submit(() -> runNegationCase(idx)));
        }
        pool.shutdown();
        List<Item> list = new ArrayList<>();
        for (Future<Item> f : futures) {
            try {
                list.add(f.get(SEMANTIC_TIMEOUT + 30, TimeUnit.SECONDS));
            } catch (Exception e) {
                Item it = new Item();
                it.module = "step3_negation_penetration";
                it.status = "ERROR";
                it.passed = false;
                it.error = "future-get-error: " + rootMsg(e);
                list.add(it);
            }
        }
        pool.awaitTermination(5, TimeUnit.MINUTES);

        int pass = 0;
        for (Item it : list) if (it.passed) pass++;
        System.out.println("  否定穿透完成: " + pass + "/" + list.size() + " 通过");
        return list;
    }

    private static Item runNegationCase(int idx) {
        String[] cas = NEGATION_CASES[idx];
        String message = cas[0];
        String expect = cas[1]; // REJECT / NEGATIVE / POSITIVE
        String desc = cas[2];

        Item it = new Item();
        it.module = "step3_negation_penetration";
        it.industry = "general";
        it.word = message;
        it.input = "message=" + message + " | expect=" + expect + " | " + desc;
        it.tags.add("否定穿透");
        it.tags.add("场景" + (idx + 1));

        // 同时调用 keywords 和 sentiment
        String kwUrl = VAL_BASE + "/semantic/keywords?message=" + URLEncoder.encode(message, StandardCharsets.UTF_8) + "&companyId=1";
        String sentUrl = VAL_BASE + "/semantic/sentiment?message=" + URLEncoder.encode(message, StandardCharsets.UTF_8) + "&companyId=1";
        long t0 = System.currentTimeMillis();
        Resp kwResp = httpGet(kwUrl, SEMANTIC_TIMEOUT);
        Resp sentResp = httpGet(sentUrl, SEMANTIC_TIMEOUT);
        it.elapsedMs = System.currentTimeMillis() - t0;
        it.output = "keywords=" + trunc(kwResp.body, 500) + " | sentiment=" + trunc(sentResp.body, 500);

        if (kwResp.error != null || sentResp.error != null) {
            it.status = "ERROR";
            it.passed = false;
            it.error = "kwErr=" + kwResp.error + " sentErr=" + sentResp.error;
            return it;
        }

        int kwCode = extractInt(kwResp.body, "code", -1);
        int sentCode = extractInt(sentResp.body, "code", -1);
        it.keywords = extractKeywordArray(kwResp.body);
        Double sentiment = extractDouble(sentResp.body, "sentiment");
        String slabel = extractStr(sentResp.body, "label");
        it.sentiment = sentiment;
        it.sentimentLabel = slabel;

        if (kwCode != 200 || sentCode != 200 || sentiment == null) {
            it.status = "ERROR";
            it.passed = false;
            it.error = "kwCode=" + kwCode + " sentCode=" + sentCode + " sentiment=" + sentiment;
            return it;
        }

        // 穿透判定逻辑：
        // 1. REJECT/NEGATIVE（否定）：sentiment 应 <= 0.1（非明显正面），
        //    且 keywords 不应包含明显的购买意向词（如"购买""下单""成交""购买意向"）
        // 2. POSITIVE（双重否定肯定）：sentiment 应 >= -0.1（非明显负面）
        boolean penetrationOk;
        String reason;
        if ("POSITIVE".equals(expect)) {
            // 双重否定应判为肯定：sentiment 不应明显负面
            penetrationOk = sentiment >= -0.15;
            reason = "双重否定期望肯定, sentiment=" + sentiment + " threshold>=-0.15";
        } else {
            // REJECT 或 NEGATIVE：不应命中购买意向，sentiment 不应明显正面
            boolean hasPurchaseKw = hasPurchaseIntentKeyword(it.keywords);
            boolean sentimentNotPositive = sentiment <= 0.15;
            penetrationOk = !hasPurchaseKw && sentimentNotPositive;
            reason = "否定期望非购买, hasPurchaseKw=" + hasPurchaseKw
                    + " sentiment=" + sentiment + " threshold<=0.15";
        }
        it.passed = penetrationOk;
        it.status = it.passed ? "OK" : "ERROR";
        it.note = desc + " | " + reason;
        if (!it.passed) it.error = reason;
        return it;
    }

    /** 判断关键词列表是否含购买意向词（用于否定穿透判定） */
    private static boolean hasPurchaseIntentKeyword(List<String> keywords) {
        if (keywords == null) return false;
        for (String kw : keywords) {
            if (kw == null) continue;
            for (String p : new String[]{"购买", "下单", "成交", "购买意向", "想买", "打算买", "订购", "付款"}) {
                if (kw.contains(p)) return true;
            }
        }
        return false;
    }

    // ════════════════════════════════════════════════════════════════
    // 第4步：对外角色按行业 UDD 测试（串行）
    // ════════════════════════════════════════════════════════════════
    private static List<Item> step4UddByIndustry() {
        List<Item> list = new ArrayList<>();
        for (String[] ind : INDUSTRIES) {
            String code = ind[0], label = ind[1];
            System.out.println("  UDD [" + code + "] " + label + " ...");
            Item it = uddDebug(code, label);
            list.add(it);
            System.out.println("    " + it.status + " " + it.elapsedMs + "ms"
                    + (it.passed ? " passed" : (it.error != null ? " err=" + trunc(it.error, 80) : "")));
        }
        int pass = 0, timeout = 0;
        for (Item it : list) {
            if (it.passed) pass++;
            if ("TIMEOUT".equals(it.status)) timeout++;
        }
        System.out.println("  UDD 完成: " + pass + "/" + list.size() + " 通过, timeout=" + timeout + "(不算失败)");
        return list;
    }

    private static Item uddDebug(String code, String label) {
        Item it = new Item();
        it.module = "step4_udd_by_industry";
        it.industry = code + "(" + label + ")";
        String message = "你好，介绍一下你们的服务";
        it.input = "message=" + message + " | industryType=" + code + " | userKey=role_" + code;
        String body = "{\"message\":" + js(message)
                + ",\"industryType\":\"" + code + "\""
                + ",\"userKey\":\"role_" + code + "\""
                + ",\"persistState\":false}";
        long t0 = System.currentTimeMillis();
        try {
            HttpResponse<String> resp = postJson(VAL_BASE + "/udd/debug", body, null, UDD_TIMEOUT);
            it.elapsedMs = System.currentTimeMillis() - t0;
            it.output = trunc(resp.body(), 1500);
            if (resp.statusCode() != 200) {
                it.status = "ERROR";
                it.error = "HTTP " + resp.statusCode() + " " + trunc(resp.body(), 200);
                it.passed = false;
                return it;
            }
            int rc = extractInt(resp.body(), "code", -1);
            if (rc != 200) {
                it.status = "ERROR";
                it.error = "code=" + rc + " msg=" + extractStr(resp.body(), "msg");
                it.passed = false;
                return it;
            }
            String data = extractDataObject(resp.body());
            String reply = extractStr(data, "reply");
            it.output = trunc(reply, 1500);
            it.tags = tagReply(reply, message);
            it.passed = reply != null && !reply.isEmpty();
            it.status = it.passed ? "OK" : "ERROR";
            if (!it.passed) it.error = "空回复";
            return it;
        } catch (Exception e) {
            it.elapsedMs = System.currentTimeMillis() - t0;
            boolean timeout = isTimeout(e);
            it.status = timeout ? "TIMEOUT" : "ERROR";
            it.error = rootMsg(e);
            // TIMEOUT 不算失败
            it.passed = timeout;
            if (timeout) it.note = "超时但不算失败";
            return it;
        }
    }

    // ════════════════════════════════════════════════════════════════
    // 登录（注入验证码到 Redis 后调用 /login）
    // ════════════════════════════════════════════════════════════════
    private static String login() throws Exception {
        String uuid = "ksval" + System.currentTimeMillis();
        seedCaptcha(uuid);
        String body = "{\"username\":\"admin\",\"password\":\"Admin@123456\","
                + "\"tenantCode\":\"cs1\",\"code\":\"1234\",\"uuid\":\"" + uuid + "\"}";
        HttpResponse<String> resp = postJson(LOGIN_URL, body, null, LOGIN_TIMEOUT);
        if (resp.statusCode() != 200) {
            throw new IOException("login HTTP " + resp.statusCode() + " " + trunc(resp.body(), 200));
        }
        String tk = extractStr(resp.body(), "token");
        if (tk == null || tk.isEmpty()) {
            throw new IOException("login no token: " + trunc(resp.body(), 200));
        }
        return tk;
    }

    /** 向 Redis 注入已知验证码（FastJSON 序列化形式：带双引号的字符串） */
    private static void seedCaptcha(String uuid) throws IOException {
        String key = "tenantid:system:captcha_codes:" + uuid;
        String value = "\"1234\"";
        try (Socket sock = new Socket("127.0.0.1", 6379)) {
            sock.setSoTimeout(5000);
            OutputStream out = sock.getOutputStream();
            String cmd = "*5\r\n$3\r\nSET\r\n$" + key.length() + "\r\n" + key + "\r\n$"
                    + value.length() + "\r\n" + value + "\r\n$2\r\nEX\r\n$3\r\n600\r\n";
            out.write(cmd.getBytes(StandardCharsets.US_ASCII));
            out.flush();
            byte[] buf = new byte[128];
            int n = sock.getInputStream().read(buf);
            if (n <= 0) throw new IOException("Redis no response");
            String resp = new String(buf, 0, n, StandardCharsets.US_ASCII);
            if (!resp.startsWith("+OK")) throw new IOException("Redis SET failed: " + resp.trim());
        }
    }

    // ════════════════════════════════════════════════════════════════
    // HTTP 工具
    // ════════════════════════════════════════════════════════════════
    static final class Resp {
        int statusCode;
        String body;
        long elapsedMs;
        String error;
        Resp(int s, String b, long e, String err) { statusCode = s; body = b; elapsedMs = e; error = err; }
    }

    private static Resp httpGet(String url, int timeoutSec) {
        long t0 = System.currentTimeMillis();
        try {
            HttpRequest req = HttpRequest.newBuilder()
                    .uri(URI.create(url))
                    .timeout(Duration.ofSeconds(timeoutSec))
                    .GET()
                    .build();
            HttpResponse<String> resp = httpClient.send(req,
                    HttpResponse.BodyHandlers.ofString(StandardCharsets.UTF_8));
            long el = System.currentTimeMillis() - t0;
            return new Resp(resp.statusCode(), resp.body(), el, null);
        } catch (Exception e) {
            return new Resp(0, "", System.currentTimeMillis() - t0, rootMsg(e));
        }
    }

    private static Resp httpPost(String url, String body, int timeoutSec) {
        long t0 = System.currentTimeMillis();
        try {
            HttpRequest req = HttpRequest.newBuilder()
                    .uri(URI.create(url))
                    .timeout(Duration.ofSeconds(timeoutSec))
                    .header("Content-Type", "application/json; charset=utf-8")
                    .POST(HttpRequest.BodyPublishers.ofString(body, StandardCharsets.UTF_8))
                    .build();
            HttpResponse<String> resp = httpClient.send(req,
                    HttpResponse.BodyHandlers.ofString(StandardCharsets.UTF_8));
            long el = System.currentTimeMillis() - t0;
            return new Resp(resp.statusCode(), resp.body(), el, null);
        } catch (Exception e) {
            return new Resp(0, "", System.currentTimeMillis() - t0, rootMsg(e));
        }
    }

    private static HttpResponse<String> postJson(String url, String body, String auth, int timeoutSec) throws Exception {
        HttpRequest.Builder b = HttpRequest.newBuilder()
                .uri(URI.create(url))
                .timeout(Duration.ofSeconds(timeoutSec))
                .header("Content-Type", "application/json; charset=utf-8")
                .POST(HttpRequest.BodyPublishers.ofString(body, StandardCharsets.UTF_8));
        if (auth != null) b.header("Authorization", auth);
        return httpClient.send(b.build(), HttpResponse.BodyHandlers.ofString(StandardCharsets.UTF_8));
    }

    private static boolean isBadResp(Resp r) {
        if (r.error != null) return true;
        int code = extractInt(r.body, "code", -1);
        return r.statusCode != 200 || code == 500;
    }

    private static String briefResp(Resp r) {
        if (r.error != null) return "err:" + r.error;
        return "http=" + r.statusCode + " code=" + extractInt(r.body, "code", -1);
    }

    // ════════════════════════════════════════════════════════════════
    // JSON 解析（无依赖，正则/索引）
    // ════════════════════════════════════════════════════════════════
    private static final Pattern STR_PAT = Pattern.compile("\"((?:\\\\.|[^\"\\\\])*)\"");

    private static int extractInt(String json, String field, int def) {
        if (json == null) return def;
        Matcher m = Pattern.compile("\"" + Pattern.quote(field) + "\"\\s*:\\s*(-?\\d+)").matcher(json);
        return m.find() ? Integer.parseInt(m.group(1)) : def;
    }

    private static Double extractDouble(String json, String field) {
        if (json == null) return null;
        Matcher m = Pattern.compile("\"" + Pattern.quote(field) + "\"\\s*:\\s*(-?\\d+(?:\\.\\d+)?(?:[Ee][-+]?\\d+)?)")
                .matcher(json);
        if (m.find()) {
            try { return Double.parseDouble(m.group(1)); } catch (Exception e) { return null; }
        }
        // 处理 null 字面量
        Matcher nm = Pattern.compile("\"" + Pattern.quote(field) + "\"\\s*:\\s*null").matcher(json);
        if (nm.find()) return null;
        return null;
    }

    private static Boolean extractBool(String json, String field) {
        if (json == null) return null;
        Matcher m = Pattern.compile("\"" + Pattern.quote(field) + "\"\\s*:\\s*(true|false)").matcher(json);
        return m.find() ? Boolean.parseBoolean(m.group(1)) : null;
    }

    private static String extractStr(String json, String field) {
        if (json == null) return null;
        Matcher m = Pattern.compile("\"" + Pattern.quote(field) + "\"\\s*:\\s*\"((?:\\\\.|[^\"\\\\])*)\"").matcher(json);
        if (m.find()) return unescape(m.group(1));
        return null;
    }

    private static List<String> extractAllStr(String json, String field) {
        List<String> out = new ArrayList<>();
        if (json == null) return out;
        Matcher m = Pattern.compile("\"" + Pattern.quote(field) + "\"\\s*:\\s*\"((?:\\\\.|[^\"\\\\])*)\"").matcher(json);
        while (m.find()) out.add(unescape(m.group(1)));
        return out;
    }

    /** 提取 keywords 接口 data 中的字符串数组（data 是 ["a","b"] 形式） */
    private static List<String> extractKeywordArray(String json) {
        List<String> out = new ArrayList<>();
        if (json == null) return out;
        String data = extractDataObject(json);
        if (data == null || data.isEmpty()) return out;
        Matcher m = STR_PAT.matcher(data);
        while (m.find()) out.add(unescape(m.group(1)));
        return out;
    }

    /** 提取 "data":{...} 或 "data":[...] 的内容（按括号配平） */
    private static String extractDataObject(String json) {
        if (json == null) return "";
        String key = "\"data\"";
        int i = json.indexOf(key);
        if (i < 0) return "";
        int colon = json.indexOf(':', i + key.length());
        if (colon < 0) return "";
        int j = colon + 1;
        while (j < json.length() && Character.isWhitespace(json.charAt(j))) j++;
        if (j >= json.length()) return "";
        char open = json.charAt(j);
        if (open != '{' && open != '[') {
            int start = j;
            while (j < json.length() && json.charAt(j) != ',' && json.charAt(j) != '}') j++;
            return json.substring(start, j);
        }
        char close = (open == '{') ? '}' : ']';
        int depth = 0;
        int start = j;
        boolean inStr = false;
        while (j < json.length()) {
            char c = json.charAt(j);
            if (c == '\\' && inStr) { j += 2; continue; }
            if (c == '"') inStr = !inStr;
            if (!inStr) {
                if (c == open) depth++;
                else if (c == close) { depth--; if (depth == 0) return json.substring(start, j + 1); }
            }
            j++;
        }
        return json.substring(start);
    }

    private static String unescape(String s) {
        if (s == null || s.indexOf('\\') < 0) return s;
        StringBuilder sb = new StringBuilder(s.length());
        for (int i = 0; i < s.length(); i++) {
            char ch = s.charAt(i);
            if (ch == '\\' && i + 1 < s.length()) {
                char n = s.charAt(i + 1);
                switch (n) {
                    case '"': sb.append('"'); i++; break;
                    case '\\': sb.append('\\'); i++; break;
                    case '/': sb.append('/'); i++; break;
                    case 'n': sb.append('\n'); i++; break;
                    case 'r': sb.append('\r'); i++; break;
                    case 't': sb.append('\t'); i++; break;
                    case 'u':
                        if (i + 5 < s.length()) {
                            try {
                                sb.append((char) Integer.parseInt(s.substring(i + 2, i + 6), 16));
                                i += 5;
                            } catch (NumberFormatException e) { sb.append(ch); }
                        } else sb.append(ch);
                        break;
                    default: sb.append(ch);
                }
            } else sb.append(ch);
        }
        return sb.toString();
    }

    // ════════════════════════════════════════════════════════════════
    // 标签与汇总
    // ════════════════════════════════════════════════════════════════
    private static List<String> tagReply(String reply, String inputMessage) {
        List<String> tags = new ArrayList<>();
        if (reply == null || reply.isEmpty()) { tags.add("空回复"); return tags; }
        if (reply.contains("[UDD调试预览]") || reply.contains("[待追问") || reply.contains("待追问:")
                || reply.contains("根据画像") || reply.contains("禁止暴露")) {
            tags.add("机械");
        }
        if (reply.contains("您好") || reply.contains("很高兴") || reply.contains("请问")
                || reply.contains("帮您") || reply.contains("为您")) tags.add("亲切");
        int particle = 0;
        for (String p : new String[]{"嗯", "呢", "呀", "哈", "吧", "哦", "啦", "呐", "诶", "哟"}) {
            int idx = -1;
            while ((idx = reply.indexOf(p, idx + 1)) >= 0) particle++;
        }
        if (particle >= 1) tags.add("口语化");
        if (particle == 0 && !reply.contains("您好") && !reply.contains("请问") && reply.length() < 40) {
            tags.add("机械");
        }
        if (reply.contains("AI") || reply.contains("机器人") || reply.contains("智能客服")) tags.add("暴露AI");
        if (reply.contains("百分百") || reply.contains("包治") || (reply.contains("保证") && reply.contains("治愈"))) {
            tags.add("过度承诺");
        }
        return tags;
    }

    private static Map<String, Object> buildSummary(List<Item> all) {
        Map<String, Object> s = new LinkedHashMap<>();
        int total = all.size(), passed = 0, failed = 0, timeout = 0, error = 0, skip = 0;
        long totalMs = 0, maxMs = 0, minMs = Long.MAX_VALUE;
        Map<String, Integer> byStatus = new LinkedHashMap<>();
        Map<String, Integer> byModule = new LinkedHashMap<>();
        Map<String, Integer> byModulePass = new LinkedHashMap<>();
        Map<String, Integer> byTag = new LinkedHashMap<>();
        for (Item it : all) {
            totalMs += it.elapsedMs;
            if (it.elapsedMs > maxMs) maxMs = it.elapsedMs;
            if (it.elapsedMs < minMs) minMs = it.elapsedMs;
            byStatus.merge(it.status, 1, Integer::sum);
            if ("OK".equals(it.status) && it.passed) passed++;
            else if ("TIMEOUT".equals(it.status)) timeout++;
            else if ("SKIP".equals(it.status)) skip++;
            else error++;
            if (!it.passed && !"TIMEOUT".equals(it.status)) failed++;
            String mod = it.module == null ? "?" : it.module;
            byModule.merge(mod, 1, Integer::sum);
            if (it.passed) byModulePass.merge(mod, 1, Integer::sum);
            for (String t : it.tags) byTag.merge(t, 1, Integer::sum);
        }
        s.put("totalCalls", total);
        s.put("passed", passed);
        s.put("failed", failed);
        s.put("timeout", timeout);
        s.put("skip", skip);
        s.put("error", error);
        s.put("avgMs", total == 0 ? 0 : totalMs / total);
        s.put("maxMs", maxMs);
        s.put("minMs", minMs == Long.MAX_VALUE ? 0 : minMs);
        s.put("byStatus", byStatus);
        s.put("byModule", byModule);
        s.put("byModulePass", byModulePass);
        s.put("byTag", byTag);
        return s;
    }

    private static String stepBlock(List<Item> items) {
        int passed = 0;
        long ms = 0;
        for (Item it : items) { if (it.passed) passed++; ms += it.elapsedMs; }
        StringBuilder sb = new StringBuilder();
        sb.append("{\"total\":").append(items.size()).append(",\"passed\":").append(passed)
                .append(",\"totalMs\":").append(ms).append(",\"items\":[");
        for (int i = 0; i < items.size(); i++) {
            if (i > 0) sb.append(",");
            sb.append(items.get(i).toJson());
        }
        sb.append("]}");
        return sb.toString();
    }

    private static String summaryJson(Map<String, Object> s) {
        StringBuilder sb = new StringBuilder("{");
        int c = 0;
        for (Map.Entry<String, Object> e : s.entrySet()) {
            if (c++ > 0) sb.append(",");
            sb.append(js(e.getKey())).append(":").append(jsv(e.getValue()));
        }
        sb.append("}");
        return sb.toString();
    }

    // ════════════════════════════════════════════════════════════════
    // JSON 序列化辅助
    // ════════════════════════════════════════════════════════════════
    private static String js(String s) {
        if (s == null) return "null";
        StringBuilder sb = new StringBuilder("\"");
        for (int i = 0; i < s.length(); i++) {
            char c = s.charAt(i);
            switch (c) {
                case '"': sb.append("\\\""); break;
                case '\\': sb.append("\\\\"); break;
                case '\n': sb.append("\\n"); break;
                case '\r': sb.append("\\r"); break;
                case '\t': sb.append("\\t"); break;
                default:
                    if (c < 0x20) sb.append(String.format("\\u%04x", (int) c));
                    else sb.append(c);
            }
        }
        sb.append("\"");
        return sb.toString();
    }

    private static String jsArray(List<String> list) {
        StringBuilder sb = new StringBuilder("[");
        for (int i = 0; i < list.size(); i++) {
            if (i > 0) sb.append(",");
            sb.append(js(list.get(i)));
        }
        sb.append("]");
        return sb.toString();
    }

    @SuppressWarnings("unchecked")
    private static String jsv(Object v) {
        if (v == null) return "null";
        if (v instanceof Number) return v.toString();
        if (v instanceof Boolean) return v.toString();
        if (v instanceof String) return js((String) v);
        if (v instanceof Map) {
            StringBuilder sb = new StringBuilder("{");
            int c = 0;
            for (Map.Entry<String, Object> e : ((Map<String, Object>) v).entrySet()) {
                if (c++ > 0) sb.append(",");
                sb.append(js(e.getKey())).append(":").append(jsv(e.getValue()));
            }
            sb.append("}");
            return sb.toString();
        }
        if (v instanceof Iterable) {
            StringBuilder sb = new StringBuilder("[");
            int c = 0;
            for (Object o : (Iterable<?>) v) {
                if (c++ > 0) sb.append(",");
                sb.append(jsv(o));
            }
            sb.append("]");
            return sb.toString();
        }
        return js(v.toString());
    }

    // ════════════════════════════════════════════════════════════════
    // 通用辅助
    // ════════════════════════════════════════════════════════════════
    private static String trunc(String s, int max) {
        if (s == null) return null;
        return s.length() <= max ? s : s.substring(0, max) + "...";
    }

    private static boolean isTimeout(Throwable e) {
        Throwable c = e;
        while (c != null) {
            if (c instanceof java.net.http.HttpTimeoutException) return true;
            if (c instanceof TimeoutException) return true;
            String n = c.getClass().getName();
            if (n.contains("TimeoutException")) return true;
            c = c.getCause();
        }
        return false;
    }

    private static boolean isTimeoutStr(String s) {
        return s != null && (s.contains("timed out") || s.contains("TimeoutException")
                || s.contains("HttpTimeoutException"));
    }

    private static String rootMsg(Throwable e) {
        Throwable c = e;
        while (c.getCause() != null && c.getCause() != c) c = c.getCause();
        String msg = c.getMessage();
        return (msg != null ? msg : c.getClass().getSimpleName()).replace("\n", " ");
    }
}