From bb020bc9f8c6edca7125229e10d1ea279726fc8c Mon Sep 17 00:00:00 2001
From: zyy <zyy@email.com>
Date: Tue, 21 Oct 2025 13:36:36 +0800
Subject: [PATCH] 1

---
 trading-order-huobi/src/main/java/com.yami.trading.huobi/data/job/AbstractGetDataJob.java |   22 +++++
 trading-order-huobi/src/main/java/com.yami.trading.huobi/data/RandomNumbersGenerator.java |  181 +++++++++++++++++++++++++++++++++++++++++++++
 2 files changed, 201 insertions(+), 2 deletions(-)

diff --git a/trading-order-huobi/src/main/java/com.yami.trading.huobi/data/RandomNumbersGenerator.java b/trading-order-huobi/src/main/java/com.yami.trading.huobi/data/RandomNumbersGenerator.java
new file mode 100644
index 0000000..631edd9
--- /dev/null
+++ b/trading-order-huobi/src/main/java/com.yami.trading.huobi/data/RandomNumbersGenerator.java
@@ -0,0 +1,181 @@
+package com.yami.trading.huobi.data;
+
+import java.math.BigDecimal;
+import java.math.RoundingMode;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Random;
+
+public class RandomNumbersGenerator {
+
+    /**
+     * 生成多个有正有负的数,总和等于目标value
+     * @param target 目标总和(BigDecimal)
+     * @param count 生成的数字数量(至少为2)
+     * @param scale 小数位数(确保精度)
+     * @return 满足条件的数字列表
+     */
+    public static List<BigDecimal> generateNumbers(BigDecimal target, int count, int scale) {
+        // 校验参数:数量至少为2
+        if (count < 2) {
+            throw new IllegalArgumentException("生成数量必须至少为2");
+        }
+
+        List<BigDecimal> numbers;
+
+        // 计算target的20%(绝对值,作为最后一个数的阈值)
+        BigDecimal threshold = target.abs().multiply(new BigDecimal("0.2")).setScale(scale, RoundingMode.HALF_UP);
+
+        do {
+            numbers = new ArrayList<>(count);
+            Random random = new Random();
+
+            // 步骤1:确定单个数字的最大绝对值范围(目标值的15%,可调整)
+            BigDecimal maxAbsValue = target.abs().multiply(new BigDecimal("0.15"));
+            if (maxAbsValue.compareTo(BigDecimal.ZERO) == 0) {
+                maxAbsValue = new BigDecimal("100"); // 目标为0时的默认范围
+            }
+
+            // 正数概率60%
+            double positiveProbability = 0.6;
+
+            // 步骤2:生成前count-1个随机数
+            for (int i = 0; i < count - 1; i++) {
+                BigDecimal randomValue = generateRandomValue(maxAbsValue, scale, random);
+                // 按概率设置正负
+                if (random.nextDouble() >= positiveProbability) {
+                    randomValue = randomValue.negate();
+                }
+                numbers.add(randomValue);
+            }
+
+            // 步骤3:计算最后一个数(确保总和为target)
+            BigDecimal sumPrev = numbers.stream().reduce(BigDecimal.ZERO, BigDecimal::add);
+            BigDecimal lastNum = target.subtract(sumPrev).setScale(scale, RoundingMode.HALF_UP);
+            numbers.add(lastNum);
+
+            // 步骤4:确保有正有负
+            ensureBothPositiveAndNegative(numbers, scale);
+
+            // 检查最后一个数是否超过阈值:若lastNum的绝对值 > threshold,则重新生成
+        } while (numbers.get(numbers.size() - 1).abs().compareTo(threshold) > 0);
+
+        return numbers;
+    }
+
+    /**
+     * 生成0到max之间的随机BigDecimal(指定小数位数,兼容Java 8+)
+     */
+    private static BigDecimal generateRandomValue(BigDecimal max, int scale, Random random) {
+        // 将max转换为整数(放大10^scale倍),避免double精度问题
+        BigDecimal scaleFactor = new BigDecimal(Math.pow(10, scale)).setScale(scale);
+        long maxLong = max.multiply(scaleFactor).setScale(0, RoundingMode.FLOOR).longValue();
+
+        // 兼容Java 8+的写法:生成[0, maxLong]范围内的随机long
+        long randomLong;
+        if (maxLong == 0) {
+            // 若最大值为0,直接返回0
+            randomLong = 0;
+        } else {
+            // 生成[0, maxLong]的随机数(避免nextLong()的负数问题)
+            // 逻辑:(random.nextLong() % (maxLong + 1) + (maxLong + 1)) % (maxLong + 1)
+            long range = maxLong + 1; // 范围长度(0到maxLong共range个数字)
+            randomLong = (random.nextLong() % range + range) % range;
+        }
+
+        // 转换回BigDecimal并缩小scaleFactor倍
+        return new BigDecimal(randomLong).divide(scaleFactor, scale, RoundingMode.HALF_UP);
+    }
+
+    /**
+     * 确保列表中既有正数也有负数,若不满足则调整
+     */
+    private static void ensureBothPositiveAndNegative(List<BigDecimal> numbers, int scale) {
+        boolean hasPositive = numbers.stream().anyMatch(num -> num.compareTo(BigDecimal.ZERO) > 0);
+        boolean hasNegative = numbers.stream().anyMatch(num -> num.compareTo(BigDecimal.ZERO) < 0);
+
+        if (hasPositive && hasNegative) {
+            return; // 已满足条件,无需调整
+        }
+
+        // 若全为非负(可能有0),需要调整出一个负数
+        if (!hasNegative) {
+            adjustToHaveNegative(numbers, scale);
+        }
+        // 若全为非正(可能有0),需要调整出一个正数
+        else if (!hasPositive) {
+            adjustToHavePositive(numbers, scale);
+        }
+    }
+
+    /**
+     * 当全为非负时,调整出一个负数(保持总和不变)
+     */
+    private static void adjustToHaveNegative(List<BigDecimal> numbers, int scale) {
+        // 选第一个非零的数(避免调整0,否则还是0)
+        int idx = -1;
+        for (int i = 0; i < numbers.size(); i++) {
+            if (numbers.get(i).compareTo(BigDecimal.ZERO) > 0) {
+                idx = i;
+                break;
+            }
+        }
+        if (idx == -1) {
+            // 极端情况:全为0(目标值必为0),直接将第一个数设为1,最后一个设为-1
+            numbers.set(0, new BigDecimal("1").setScale(scale));
+            numbers.set(numbers.size() - 1, new BigDecimal("-1").setScale(scale));
+            return;
+        }
+
+        // 调整逻辑:将选中的数变为负数,同时将最后一个数加上2倍的原数(保持总和不变)
+        BigDecimal original = numbers.get(idx);
+        BigDecimal negative = original.negate();
+        numbers.set(idx, negative);
+
+        BigDecimal last = numbers.get(numbers.size() - 1);
+        BigDecimal adjustedLast = last.add(original.multiply(new BigDecimal("2")))
+                .setScale(scale, RoundingMode.HALF_UP);
+        numbers.set(numbers.size() - 1, adjustedLast);
+    }
+
+    /**
+     * 当全为非正时,调整出一个正数(保持总和不变)
+     */
+    private static void adjustToHavePositive(List<BigDecimal> numbers, int scale) {
+        // 选第一个非零的数(避免调整0)
+        int idx = -1;
+        for (int i = 0; i < numbers.size(); i++) {
+            if (numbers.get(i).compareTo(BigDecimal.ZERO) < 0) {
+                idx = i;
+                break;
+            }
+        }
+        if (idx == -1) {
+            // 极端情况:全为0(目标值必为0),直接将第一个数设为1,最后一个设为-1
+            numbers.set(0, new BigDecimal("1").setScale(scale));
+            numbers.set(numbers.size() - 1, new BigDecimal("-1").setScale(scale));
+            return;
+        }
+
+        // 调整逻辑:将选中的数变为正数,同时将最后一个数减去2倍的原数(保持总和不变)
+        BigDecimal original = numbers.get(idx);
+        BigDecimal positive = original.negate();
+        numbers.set(idx, positive);
+
+        BigDecimal last = numbers.get(numbers.size() - 1);
+        BigDecimal adjustedLast = last.subtract(original.multiply(new BigDecimal("2")))
+                .setScale(scale, RoundingMode.HALF_UP);
+        numbers.set(numbers.size() - 1, adjustedLast);
+    }
+
+
+    // 测试示例
+    public static void main(String[] args) {
+        // 测试1:目标值为100,生成5个数,保留2位小数
+        BigDecimal target1 = new BigDecimal("0.01");
+        List<BigDecimal> result1 = generateNumbers(target1, 200/10, 10);
+        System.out.println("目标值:" + target1 + ",生成的数:" + result1);
+        System.out.println("总和:" + result1.stream().reduce(BigDecimal.ZERO, BigDecimal::add) + "\n");
+
+    }
+}
\ No newline at end of file
diff --git a/trading-order-huobi/src/main/java/com.yami.trading.huobi/data/job/AbstractGetDataJob.java b/trading-order-huobi/src/main/java/com.yami.trading.huobi/data/job/AbstractGetDataJob.java
index 27a1238..579aa4b 100644
--- a/trading-order-huobi/src/main/java/com.yami.trading.huobi/data/job/AbstractGetDataJob.java
+++ b/trading-order-huobi/src/main/java/com.yami.trading.huobi/data/job/AbstractGetDataJob.java
@@ -6,6 +6,7 @@
 import com.yami.trading.common.util.Arith;
 import com.yami.trading.huobi.data.AdjustmentValueCache;
 import com.yami.trading.huobi.data.DataCache;
+import com.yami.trading.huobi.data.RandomNumbersGenerator;
 import com.yami.trading.huobi.data.internal.DataDBService;
 import com.yami.trading.huobi.data.model.AdjustmentValue;
 import com.yami.trading.huobi.hobi.HobiDataService;
@@ -87,7 +88,15 @@
 
                         // 首次执行:生成含正负值的调整序列
                         if (adjustments == null || currentIndex == null) {
-                            adjustments = generateRandomAdjustments(delayValue.getValue(), frequency, decimal);
+                            //分几段执行
+                            int nums = Math.max(10, frequency / 10);
+                            List<BigDecimal> result = RandomNumbersGenerator.generateNumbers(delayValue.getValue(), nums, decimal + 4);
+                            for (int i = 0; i < result.size(); i++) {
+                                if (adjustments == null) {
+                                    adjustments = new ArrayList<>();
+                                }
+                                adjustments.addAll(generateRandomAdjustments(result.get(i), frequency / 10, decimal));
+                            }
                             currentIndex = 0;
                             AdjustmentValueCache.getPreAllocatedAdjustments().put(symbol, adjustments);
                             AdjustmentValueCache.getCurrentAdjustmentIndex().put(symbol, currentIndex);
@@ -299,7 +308,16 @@
 
     public static void main(String[] args) {
         AbstractGetDataJob abstractGetDataJob = new CryptosGetDataJob();
-        List<BigDecimal> list = abstractGetDataJob.generateRandomAdjustments(new BigDecimal(0.002), 300, 8);
+        List<BigDecimal> list = new ArrayList<>();
+        int frequency = 200;
+        int decimal = 6;
+        //分几段执行
+        int nums = Math.max(10, frequency / 10);
+        List<BigDecimal> result = RandomNumbersGenerator.generateNumbers(BigDecimal.valueOf(0.02), nums, decimal + 4);
+        for (int i = 0; i < result.size(); i++) {
+            list.addAll(abstractGetDataJob.generateRandomAdjustments(result.get(i), frequency / 10, decimal));
+        }
+
         BigDecimal sum = BigDecimal.ZERO;
         int num = 0;
         int dmt = 1;

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