refactor(utils): 替换雪花ID生成工具实现

- 移除自定义的雪花ID生成逻辑
- 引入Hutool的Snowflake工具类
- 简化ID生成方法，提高代码可维护性
- 移除相关的测试类文件
- 删除不再使用的UniqueId和UniqueIdMetaData模型类

src/test/java/com/ycwl/basic/utils/SnowFlakeUtilTest.java

@@ -1,92 +0,0 @@
-package com.ycwl.basic.utils;
-
-import org.junit.jupiter.api.Assertions;
-import org.junit.jupiter.api.Test;
-import org.slf4j.Logger;
-import org.slf4j.LoggerFactory;
-
-import java.util.Collections;
-import java.util.HashSet;
-import java.util.Set;
-import java.util.concurrent.ConcurrentHashMap;
-import java.util.concurrent.CountDownLatch;
-import java.util.concurrent.ExecutorService;
-import java.util.concurrent.Executors;
-
-/**
- * Test for SnowFlakeUtil to verify uniqueness under high concurrency.
- */
-public class SnowFlakeUtilTest {
-
-    private static final Logger log = LoggerFactory.getLogger(SnowFlakeUtilTest.class);
-
-    @Test
-    public void testIdUniqueness() throws InterruptedException {
-        // Number of threads
-        int threadCount = 1000;
-        // Number of IDs per thread
-        int idCountPerThread = 10000;
-        // Total IDs expected
-        int totalIdCount = threadCount * idCountPerThread;
-
-        ExecutorService executorService = Executors.newFixedThreadPool(threadCount);
-        final Set<String> idSet = ConcurrentHashMap.newKeySet();
-        final CountDownLatch latch = new CountDownLatch(threadCount);
-
-        // Use a set to capture any "suspicious" short IDs (potential raw timestamps)
-        final Set<String> suspiciousIds = ConcurrentHashMap.newKeySet();
-
-        log.info("Starting concurrent snowflake ID generation test...");
-        long start = System.currentTimeMillis();
-
-        for (int i = 0; i < threadCount; i++) {
-            executorService.execute(() -> {
-                try {
-                    for (int j = 0; j < idCountPerThread; j++) {
-                        String id = SnowFlakeUtil.getId();
-                        idSet.add(id);
-
-                        // Check for the potential overflow bug where it returns raw timestamp
-                        // A valid snowflake ID (around year 2025) should be much larger than a timestamp
-                        // Current timestamp is approx 13 digits (1734...)
-                        // Snowflake ID should be approx 18-19 digits
-                        if (id.length() < 15) {
-                            suspiciousIds.add(id);
-                        }
-                    }
-                } catch (Exception e) {
-                    log.error("Error generating ID", e);
-                } finally {
-                    latch.countDown();
-                }
-            });
-        }
-
-        latch.await();
-        long end = System.currentTimeMillis();
-        executorService.shutdown();
-
-        log.info("Generated {} IDs in {} ms", totalIdCount, (end - start));
-
-        if (!suspiciousIds.isEmpty()) {
-            log.warn("Found {} suspicious IDs (likely raw timestamps due to sequence overflow): {}", suspiciousIds.size(), suspiciousIds);
-            // We might not fail the test for this if the user only asked for uniqueness,
-            // but it's good to report.
-            // However, if they are raw timestamps, they collide heavily if generated in the same ms.
-        }
-
-        Assertions.assertEquals(totalIdCount, idSet.size(), "Duplicate IDs found!");
-        log.info("Uniqueness test passed. Total unique IDs: {}", idSet.size());
-    }
-
-    @Test
-    public void testPerformanceSingleThread() {
-        long start = System.currentTimeMillis();
-        int count = 100000;
-        for (int i = 0; i < count; i++) {
-            SnowFlakeUtil.getId();
-        }
-        long end = System.currentTimeMillis();
-        log.info("Generated {} IDs in {} ms (Single Thread)", count, (end - start));
-    }
-}