微调

- 新增drawWavePic方法用于绘制波形图
- 实现null数据段压缩算法，确保图表性能优化
- 添加markLine和markArea功能显示null段边界标记
- 集成到WavePicComponent组件中支持瞬时和RMS波形图生成
- 修复RestTemplate对Hutool JSON对象的支持问题
- 优化WaveUtil工具类处理空值数据逻辑

pqs-common/common-echarts/src/main/java/com/njcn/echarts/json/LineGenerator.java

@@ -1,11 +1,7 @@
 package com.njcn.echarts.json;
 
 import cn.hutool.core.collection.CollUtil;
-import cn.hutool.core.collection.ListUtil;
 import cn.hutool.json.JSONUtil;
-import cn.hutool.json.ObjectMapper;
-import com.google.gson.Gson;
-import com.google.gson.JsonObject;
 import com.njcn.echarts.pojo.bo.TolerateData;
 import com.njcn.echarts.pojo.constant.PicCommonData;
 import org.icepear.echarts.Option;
@@ -29,7 +25,6 @@ import org.icepear.echarts.render.Engine;
 
 import java.text.DecimalFormat;
 import java.util.ArrayList;
-import java.util.Arrays;
 import java.util.List;
 import java.util.Map;
 import java.util.stream.Collectors;
@@ -43,6 +38,17 @@ import java.util.stream.Collectors;
 public class LineGenerator {
 
     private final static Engine ENGINE = new Engine();
+    // null段在图表上的固定视觉宽度（数据点数量）
+    private static final int NULL_PLACEHOLDER_COUNT = 90;
+    // 压缩结果
+    private static class CompressedResult {
+        // 压缩后的数据
+        List<List<Float>> data;
+        // 每个null段的[起始索引, 结束索引]（占位点范围）
+        List<int[]> nullRegionIndices;
+        // null段边界处的真实x值（entry, exit交替）
+        List<Float> nullBoundaryRealXValues;
+    }
 
 
     /***
@@ -529,6 +535,478 @@ public class LineGenerator {
         return ENGINE.renderJsonOption(instantOption);
     }
 
+    public static String generateWaveOption(String title, List<List<Float>> aValue, List<List<Float>> bValue, List<List<Float>> cValue, String unit, Float max, Float min, String a, String b, String c, List<String> colors, Boolean isOpen, Double lastTime, List<Float> sharedNullBoundaryXValues, Integer nPush) {
+        DecimalFormat df1 = new DecimalFormat("#.00");
+        // 压缩null数据：如果有共享边界则用共享边界，否则独立压缩
+        CompressedResult aCompressed;
+        CompressedResult bCompressed;
+        CompressedResult cCompressed;
+        if (sharedNullBoundaryXValues != null && !sharedNullBoundaryXValues.isEmpty()) {
+            aCompressed = compressNullDataWithSharedBoundaries(aValue, sharedNullBoundaryXValues);
+            bCompressed = compressNullDataWithSharedBoundaries(bValue, sharedNullBoundaryXValues);
+            cCompressed = compressNullDataWithSharedBoundaries(cValue, sharedNullBoundaryXValues);
+        } else {
+            aCompressed = compressNullData(aValue);
+            bCompressed = compressNullData(bValue);
+            cCompressed = compressNullData(cValue);
+        }
+
+        Option instantOption = new Option();
+        //取消渲染动画
+        instantOption.setAnimation(false);
+        //背景色
+        instantOption.setBackgroundColor(PicCommonData.PIC_BACK_COLOR);
+        //标题
+        instantOption.setTitle(new Title()
+                .setText(title)
+                .setLeft(PicCommonData.CENTER)
+                .setTextStyle(new Label().setFontSize(14))
+        );
+        //配置颜色
+        instantOption.setColor(colors.toArray(new String[colors.size()]));
+        //配置图例
+        if (isOpen) {
+            instantOption.setLegend(new Legend().setData(new String[]{a, b}).setLeft("10px"));
+        } else {
+            instantOption.setLegend(new Legend().setData(new String[]{a, b, c}).setLeft("10px"));
+        }
+        //上下左右的图内间距
+        instantOption.setGrid(new Grid().setTop("60px").setLeft("70px").setRight("40px").setBottom("10%"));
+        //横坐标（使用压缩后的数据）
+        instantOption.setXAxis(new ValueAxis().setName("ms")
+                .setSplitLine(new SplitLine().setShow(false))
+                .setAxisLine(new AxisLine().setOnZero(false))
+                .setType("category")
+                .setMinInterval(1)
+        );
+        //纵坐标
+        instantOption.setYAxis(new ValueAxis()
+                .setName(unit)
+                .setMax(df1.format(max * 1.1))
+                .setMin(df1.format(min * 1.1))
+                .setPosition(PicCommonData.LEFT)
+                .setAxisLine(new AxisLine().setShow(false).setOnZero(false))
+        );
+        //数据信息（使用压缩后的数据）
+        LineSeries aSeries = new LineSeries()
+                .setName(a)
+                .setSmooth(true)
+                .setSymbol("none")
+                .setConnectNulls(false)
+                .setData(aCompressed.data);
+        LineSeries bSeries = new LineSeries()
+                .setName(b)
+                .setSmooth(true)
+                .setSymbol("none")
+                .setConnectNulls(false)
+                .setData(bCompressed.data);
+        LineSeries cSeries = new LineSeries()
+                .setName(c)
+                .setSmooth(true)
+                .setSymbol("none")
+                .setConnectNulls(false)
+                .setData(cCompressed.data);
+        instantOption.setSeries(new LineSeries[]{aSeries, bSeries, cSeries});
+
+        // 渲染基础JSON
+        String jsonStr = ENGINE.renderJsonOption(instantOption);
+        cn.hutool.json.JSONObject optionJson = JSONUtil.parseObj(jsonStr);
+        cn.hutool.json.JSONArray seriesArray = optionJson.getJSONArray("series");
+
+        // 隐藏x轴默认标签，设置boundaryGap=false，只通过markLine显示关键节点
+        Object xAxisRaw = optionJson.get("xAxis");
+        cn.hutool.json.JSONObject xAxisJson;
+        if (xAxisRaw instanceof cn.hutool.json.JSONArray) {
+            xAxisJson = ((cn.hutool.json.JSONArray) xAxisRaw).getJSONObject(0);
+        } else {
+            xAxisJson = (cn.hutool.json.JSONObject) xAxisRaw;
+        }
+        cn.hutool.json.JSONObject axisLabelJson = new cn.hutool.json.JSONObject();
+        axisLabelJson.set("show", false);
+        xAxisJson.set("axisLabel", axisLabelJson);
+        xAxisJson.set("boundaryGap", false);
+
+        // 添加null markLine/markArea（基于压缩后的数据）
+        addNullMarkLinesForCategoryAxis(seriesArray.getJSONObject(0), aCompressed, lastTime);
+        addNullMarkLinesForCategoryAxis(seriesArray.getJSONObject(1), bCompressed, lastTime);
+        addNullMarkLinesForCategoryAxis(seriesArray.getJSONObject(2), cCompressed, lastTime);
+        // 在第一个series追加自定义横坐标标签markLine
+        addAxisLabelMarkLines(seriesArray.getJSONObject(0), aCompressed, lastTime, nPush);
+        return optionJson.toString();
+    }
+
+    /** 提取null边界的真实x值，供其他数据集共享使用 */
+    public static List<Float> extractNullBoundaryXValues(List<List<Float>> data) {
+        List<Integer> boundaries = findNullSegmentBoundaryIndices(data);
+        List<Float> xValues = new ArrayList<>();
+        for (int idx : boundaries) {
+            xValues.add(data.get(idx).get(0));
+        }
+        return xValues;
+    }
+
+    /** 使用共享的null边界x值来压缩数据，确保不同数据集压缩结果结构一致 */
+    private static CompressedResult compressNullDataWithSharedBoundaries(List<List<Float>> originalData, List<Float> sharedBoundaryXValues) {
+        if (sharedBoundaryXValues == null || sharedBoundaryXValues.isEmpty()) {
+            return compressNullData(originalData);
+        }
+
+        // 用共享的x值找到本数据集中对应的索引
+        List<Integer> boundaries = new ArrayList<>();
+        for (Float x : sharedBoundaryXValues) {
+            boundaries.add(findClosestValidIndex(originalData, x));
+        }
+
+        CompressedResult result = new CompressedResult();
+        result.data = new ArrayList<>();
+        result.nullRegionIndices = new ArrayList<>();
+        result.nullBoundaryRealXValues = new ArrayList<>(sharedBoundaryXValues);
+
+        int srcIdx = 0;
+        for (int b = 0; b < boundaries.size(); b += 2) {
+            int entryBoundary = boundaries.get(b);
+            int exitBoundary = boundaries.get(b + 1);
+
+            while (srcIdx <= entryBoundary) {
+                result.data.add(originalData.get(srcIdx));
+                srcIdx++;
+            }
+
+            int nullStartIdx = result.data.size();
+            float entryX = sharedBoundaryXValues.get(b);
+            float exitX = sharedBoundaryXValues.get(b + 1);
+
+            for (int p = 0; p < NULL_PLACEHOLDER_COUNT; p++) {
+                List<Float> point = new ArrayList<>();
+                point.add(entryX + (exitX - entryX) * p / NULL_PLACEHOLDER_COUNT);
+                point.add(null);
+                result.data.add(point);
+            }
+
+            int nullEndIdx = result.data.size() - 1;
+            result.nullRegionIndices.add(new int[]{nullStartIdx, nullEndIdx});
+
+            srcIdx = exitBoundary;
+        }
+
+        while (srcIdx < originalData.size()) {
+            result.data.add(originalData.get(srcIdx));
+            srcIdx++;
+        }
+
+        return result;
+    }
+
+
+
+    /**
+     * 压缩null数据：删除所有null数据点，替换为固定NULL_PLACEHOLDER_COUNT个占位点
+     * 这样null段在图表上永远只占固定视觉宽度，前后有效数据正常展开
+     */
+    private static CompressedResult compressNullData(List<List<Float>> originalData) {
+        List<Integer> boundaries = findNullSegmentBoundaryIndices(originalData);
+
+        CompressedResult result = new CompressedResult();
+        result.data = new ArrayList<>();
+        result.nullRegionIndices = new ArrayList<>();
+        result.nullBoundaryRealXValues = new ArrayList<>();
+
+        if (boundaries.isEmpty()) {
+            result.data.addAll(originalData);
+            return result;
+        }
+
+        int srcIdx = 0;
+        for (int b = 0; b < boundaries.size(); b += 2) {
+            // 最后一个有效点的索引（null段入口边界）
+            int entryBoundary = boundaries.get(b);
+            // 第一个恢复有效点的索引（null段出口边界）
+            int exitBoundary = boundaries.get(b + 1);
+
+            // 复制有效数据：从srcIdx到entryBoundary
+            while (srcIdx <= entryBoundary) {
+                result.data.add(originalData.get(srcIdx));
+                srcIdx++;
+            }
+
+            // 记录边界真实x值
+            result.nullBoundaryRealXValues.add(originalData.get(entryBoundary).get(0));
+            result.nullBoundaryRealXValues.add(originalData.get(exitBoundary).get(0));
+
+            // 插入固定数量的null占位点
+            int nullStartIdx = result.data.size();
+            float entryX = originalData.get(entryBoundary).get(0);
+            float exitX = originalData.get(exitBoundary).get(0);
+
+            for (int p = 0; p < NULL_PLACEHOLDER_COUNT; p++) {
+                List<Float> point = new ArrayList<>();
+                point.add(entryX + (exitX - entryX) * p / NULL_PLACEHOLDER_COUNT);
+                point.add(null);
+                result.data.add(point);
+            }
+
+            int nullEndIdx = result.data.size() - 1;
+            result.nullRegionIndices.add(new int[]{nullStartIdx, nullEndIdx});
+
+            // 跳过原始null数据点，srcIdx跳到exitBoundary
+            srcIdx = exitBoundary;
+        }
+
+        // 复制最后一个null段之后的剩余有效数据
+        while (srcIdx < originalData.size()) {
+            result.data.add(originalData.get(srcIdx));
+            srcIdx++;
+        }
+
+        return result;
+    }
+
+    /**
+     * 在压缩数据中查找最接近目标x值的有效数据点索引（跳过null点）
+     */
+    private static int findClosestValidIndex(List<List<Float>> data, float targetX) {
+        int closestIdx = -1;
+        float minDiff = Float.MAX_VALUE;
+        for (int i = 0; i < data.size(); i++) {
+            Float y = data.get(i).get(1);
+            if (y == null) continue;
+            float diff = Math.abs(data.get(i).get(0) - targetX);
+            if (diff < minDiff) {
+                minDiff = diff;
+                closestIdx = i;
+            }
+        }
+        return closestIdx;
+    }
+
+    private static void addAxisLabelMarkLines(cn.hutool.json.JSONObject seriesObj, CompressedResult compressed, Double lastTime, Integer nPush) {
+        boolean hasNull = !compressed.nullRegionIndices.isEmpty();
+
+        // 收集需要标注的横坐标位置：[数据索引, 显示的时间值]
+        List<int[]> labelPositions = new ArrayList<>();
+        // 开头ms（始终显示）
+        labelPositions.add(new int[]{findClosestValidIndex(compressed.data, -nPush), -nPush});
+        // 0ms（始终显示）
+        labelPositions.add(new int[]{findClosestValidIndex(compressed.data, 0f), 0});
+        // npush ms（仅在有null时显示）
+        if (hasNull) {
+            labelPositions.add(new int[]{findClosestValidIndex(compressed.data, nPush), nPush});
+        }
+        // null段边界真实时间值（仅在有null时显示）
+        if (hasNull) {
+            for (Float realX : compressed.nullBoundaryRealXValues) {
+                int idx = findClosestValidIndex(compressed.data, realX);
+                if (idx >= 0) {
+                    labelPositions.add(new int[]{idx, (int) Math.round(realX)});
+                }
+            }
+        }
+        // lastTime（始终显示）
+        if (lastTime != null) {
+            labelPositions.add(new int[]{findClosestValidIndex(compressed.data, lastTime.floatValue()), lastTime.intValue()});
+        }
+
+        // 最后一组数据（始终显示，数据结束位置横坐标）
+        if (lastTime != null) {
+            float lastTime20 = lastTime.floatValue() + nPush;
+            int lastTime20Idx = findClosestValidIndex(compressed.data, lastTime20);
+            if (lastTime20Idx >= 0) {
+                labelPositions.add(new int[]{(lastTime20Idx-2), (int) Math.round(lastTime20)});
+            }
+        }
+
+        // 获取或创建markLine
+        cn.hutool.json.JSONObject existingMarkLine = seriesObj.getJSONObject("markLine");
+        cn.hutool.json.JSONArray markLineData;
+
+        if (existingMarkLine == null) {
+            // 无null的情况：自己创建markLine，包含虚线和横坐标标签
+            markLineData = new cn.hutool.json.JSONArray();
+
+            // x=0 虚线
+            int zeroIdx = findClosestValidIndex(compressed.data, 0f);
+            if (zeroIdx >= 0) {
+                cn.hutool.json.JSONObject zeroLine = new cn.hutool.json.JSONObject();
+                zeroLine.set("xAxis", zeroIdx);
+                cn.hutool.json.JSONObject zeroLabel = new cn.hutool.json.JSONObject();
+                zeroLabel.set("show", false);
+                zeroLine.set("label", zeroLabel);
+                markLineData.add(zeroLine);
+            }
+            // lastTime 虚线
+            if (lastTime != null) {
+                int lastTimeIdx = findClosestValidIndex(compressed.data, lastTime.floatValue());
+                if (lastTimeIdx >= 0) {
+                    cn.hutool.json.JSONObject lastTimeLine = new cn.hutool.json.JSONObject();
+                    lastTimeLine.set("xAxis", lastTimeIdx);
+                    cn.hutool.json.JSONObject lastTimeLabelObj = new cn.hutool.json.JSONObject();
+                    lastTimeLabelObj.set("show", false);
+                    lastTimeLine.set("label", lastTimeLabelObj);
+                    markLineData.add(lastTimeLine);
+                }
+            }
+
+            // 先收集所有标签到markLineData
+            for (int[] pos : labelPositions) {
+                cn.hutool.json.JSONObject line = new cn.hutool.json.JSONObject();
+                line.set("xAxis", pos[0]);
+                cn.hutool.json.JSONObject lineLineStyle = new cn.hutool.json.JSONObject();
+                lineLineStyle.set("width", 0);
+                line.set("lineStyle", lineLineStyle);
+                cn.hutool.json.JSONObject lineLabel = new cn.hutool.json.JSONObject();
+                lineLabel.set("show", true);
+                lineLabel.set("formatter", String.valueOf(pos[1]));
+                lineLabel.set("position", "start");
+                lineLabel.set("color", "#333");
+                lineLabel.set("fontSize", 10);
+                line.set("label", lineLabel);
+                markLineData.add(line);
+            }
+            // 最后一次性设置到markLine和series
+            existingMarkLine = new cn.hutool.json.JSONObject();
+            existingMarkLine.set("symbol", new String[]{"none", "none"});
+            cn.hutool.json.JSONObject lineStyle = new cn.hutool.json.JSONObject();
+            lineStyle.set("type", "dashed");
+            lineStyle.set("color", "#999");
+            lineStyle.set("width", 1);
+            existingMarkLine.set("lineStyle", lineStyle);
+            cn.hutool.json.JSONObject globalLabel = new cn.hutool.json.JSONObject();
+            globalLabel.set("show", false);
+            existingMarkLine.set("label", globalLabel);
+            existingMarkLine.set("data", markLineData);
+            seriesObj.set("markLine", existingMarkLine);
+        } else {
+            // 有null的情况：追加标签到已有的markLine
+            markLineData = existingMarkLine.getJSONArray("data");
+            for (int[] pos : labelPositions) {
+                cn.hutool.json.JSONObject line = new cn.hutool.json.JSONObject();
+                line.set("xAxis", pos[0]);
+                cn.hutool.json.JSONObject lineLineStyle = new cn.hutool.json.JSONObject();
+                lineLineStyle.set("width", 0);
+                line.set("lineStyle", lineLineStyle);
+                cn.hutool.json.JSONObject lineLabel = new cn.hutool.json.JSONObject();
+                lineLabel.set("show", true);
+                lineLabel.set("formatter", String.valueOf(pos[1]));
+                lineLabel.set("position", "start");
+                lineLabel.set("color", "#333");
+                lineLabel.set("fontSize", 10);
+                line.set("label", lineLabel);
+                markLineData.add(line);
+            }
+        }
+    }
+
+    private static List<Integer> findNullSegmentBoundaryIndices(List<List<Float>> data) {
+        List<Integer> indices = new ArrayList<>();
+        boolean inNullSegment = false;
+        for (int i = 0; i < data.size(); i++) {
+            Float y = data.get(i).get(1);
+            if (y == null) {
+                if (!inNullSegment) {
+                    indices.add(i > 0 ? i - 1 : i);
+                    inNullSegment = true;
+                }
+            } else {
+                if (inNullSegment) {
+                    indices.add(i);
+                    inNullSegment = false;
+                }
+            }
+        }
+        if (inNullSegment) {
+            indices.add(data.size() - 1);
+        }
+        return indices;
+    }
+
+    private static void addNullMarkLinesForCategoryAxis(cn.hutool.json.JSONObject seriesObj, CompressedResult compressed, Double lastTime) {
+        if (compressed.nullRegionIndices.isEmpty()) {
+            return;
+        }
+        cn.hutool.json.JSONArray markLineData = new cn.hutool.json.JSONArray();
+        // x=0 虚线
+        int zeroIdx = findClosestValidIndex(compressed.data, 0f);
+        if (zeroIdx >= 0) {
+            cn.hutool.json.JSONObject zeroLine = new cn.hutool.json.JSONObject();
+            zeroLine.set("xAxis", zeroIdx);
+            cn.hutool.json.JSONObject zeroLabel = new cn.hutool.json.JSONObject();
+            zeroLabel.set("show", false);
+            zeroLine.set("label", zeroLabel);
+            markLineData.add(zeroLine);
+        }
+        // null段边界的垂直虚线
+        for (int r = 0; r < compressed.nullRegionIndices.size(); r++) {
+            int[] region = compressed.nullRegionIndices.get(r);
+            int nullStartIdx = region[0];   // 第一个占位点索引
+            int nullEndIdx = region[1];     // 最后一个占位点索引
+
+            // 入口虚线：nullStartIdx - 1（null前最后一个有效数据点）
+            cn.hutool.json.JSONObject entryLine = new cn.hutool.json.JSONObject();
+            entryLine.set("xAxis", nullStartIdx - 1);
+            cn.hutool.json.JSONObject entryLabel = new cn.hutool.json.JSONObject();
+            entryLabel.set("show", false);
+            entryLine.set("label", entryLabel);
+            markLineData.add(entryLine);
+
+            // 出口虚线：nullEndIdx（null后第一个有效数据点）
+            cn.hutool.json.JSONObject exitLine = new cn.hutool.json.JSONObject();
+            exitLine.set("xAxis", nullEndIdx);
+            cn.hutool.json.JSONObject exitLabel = new cn.hutool.json.JSONObject();
+            exitLabel.set("show", false);
+            exitLine.set("label", exitLabel);
+            markLineData.add(exitLine);
+        }
+        // 时间持续时间结束的数据点
+        if (lastTime != null) {
+            int lastTimeIdx = findClosestValidIndex(compressed.data, lastTime.floatValue());
+            if (lastTimeIdx >= 0) {
+                cn.hutool.json.JSONObject lastTimeLine = new cn.hutool.json.JSONObject();
+                lastTimeLine.set("xAxis", lastTimeIdx);
+                cn.hutool.json.JSONObject lastTimeLabel = new cn.hutool.json.JSONObject();
+                lastTimeLabel.set("show", false);
+                lastTimeLine.set("label", lastTimeLabel);
+                markLineData.add(lastTimeLine);
+            }
+        }
+
+        cn.hutool.json.JSONObject markLine = new cn.hutool.json.JSONObject();
+        markLine.set("symbol", new String[]{"none", "none"});
+        cn.hutool.json.JSONObject lineStyle = new cn.hutool.json.JSONObject();
+        lineStyle.set("type", "dashed");
+        lineStyle.set("color", "#999");
+        lineStyle.set("width", 1);
+        markLine.set("lineStyle", lineStyle);
+        cn.hutool.json.JSONObject globalLabel = new cn.hutool.json.JSONObject();
+        globalLabel.set("show", false);
+        markLine.set("label", globalLabel);
+        markLine.set("data", markLineData);
+        seriesObj.set("markLine", markLine);
+
+        // markArea - 灰色背景覆盖null区域（从入口边界到出口边界）
+        cn.hutool.json.JSONArray markAreaData = new cn.hutool.json.JSONArray();
+        for (int r = 0; r < compressed.nullRegionIndices.size(); r++) {
+            int[] region = compressed.nullRegionIndices.get(r);
+            int nullStartIdx = region[0];
+            int nullEndIdx = region[1];
+
+            cn.hutool.json.JSONArray areaPair = new cn.hutool.json.JSONArray();
+            cn.hutool.json.JSONObject start = new cn.hutool.json.JSONObject();
+            start.set("xAxis", nullStartIdx - 1);    // 从入口边界有效数据点
+            cn.hutool.json.JSONObject end = new cn.hutool.json.JSONObject();
+            end.set("xAxis", nullEndIdx);         // 到出口边界有效数据点
+            areaPair.add(start);
+            areaPair.add(end);
+            markAreaData.add(areaPair);
+        }
+        cn.hutool.json.JSONObject markArea = new cn.hutool.json.JSONObject();
+        cn.hutool.json.JSONObject itemStyle = new cn.hutool.json.JSONObject();
+        itemStyle.set("color", "rgba(180, 180, 180, 0.2)");
+        itemStyle.set("borderWidth", 0);
+        markArea.set("itemStyle", itemStyle);
+        markArea.set("data", markAreaData);
+        seriesObj.set("markArea", markArea);
+    }
+
     /**
      * @param title     标题
      * @param values    数据值

pqs-common/common-echarts/src/main/java/com/njcn/echarts/util/DrawPicUtil.java

@@ -10,9 +10,10 @@ import lombok.RequiredArgsConstructor;
 import org.springframework.beans.factory.annotation.Value;
 import org.springframework.http.ResponseEntity;
 import org.springframework.stereotype.Component;
-import org.springframework.web.client.RestTemplate;
 
-import java.util.*;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
 
 /**
  * @author hongawen
@@ -55,7 +56,6 @@ public class DrawPicUtil {
         return Objects.requireNonNull(picResult.getBody()).indexOf("image/png") > 0 ? picResult.getBody() : "";
     }
 
-
     /***
      * @author hongawen
      * 绘制波形图
@@ -77,6 +77,11 @@ public class DrawPicUtil {
         return drawPic(instantJson, width, height);
     }
 
+    public String drawWavePic(String title, List<List<Float>> aValue, List<List<Float>> bValue, List<List<Float>> cValue, String unit, Float max, Float min, String a, String b, String c, List<String> colors, Boolean isOpen, Double lastTime, List<Float> sharedNullBoundaryXValues,Integer nPush) {
+        String instantJson = LineGenerator.generateWaveOption(title, aValue, bValue, cValue, unit, max, min, a, b, c, colors, isOpen, lastTime, sharedNullBoundaryXValues,nPush);
+        return drawPic(instantJson, 0, 0);
+    }
+
 
     /***
      * 绘制itic曲线图

pqs-common/common-event/src/main/java/com/njcn/event/file/component/WavePicComponent.java

@@ -1,10 +1,9 @@
 package com.njcn.event.file.component;
 
 import cn.hutool.core.img.ImgUtil;
-import cn.hutool.core.io.IoUtil;
-import cn.hutool.core.util.CharsetUtil;
 import com.njcn.common.pojo.exception.BusinessException;
 import com.njcn.common.utils.FileUtil;
+import com.njcn.echarts.json.LineGenerator;
 import com.njcn.echarts.pojo.constant.PicCommonData;
 import com.njcn.echarts.util.DrawPicUtil;
 import com.njcn.event.file.pojo.bo.WaveDataDetail;
@@ -12,21 +11,17 @@ import com.njcn.event.file.pojo.dto.WaveDataDTO;
 import com.njcn.event.file.pojo.enums.WaveFileResponseEnum;
 import com.njcn.oss.constant.OssPath;
 import com.njcn.oss.utils.FileStorageUtil;
-import lombok.NoArgsConstructor;
 import lombok.RequiredArgsConstructor;
 import lombok.extern.slf4j.Slf4j;
 import org.springframework.stereotype.Component;
 import sun.awt.image.BufferedImageGraphicsConfig;
 
-import javax.imageio.ImageIO;
 import java.awt.*;
 import java.awt.image.BufferedImage;
 import java.io.ByteArrayInputStream;
-import java.io.File;
+import java.util.Base64;
-import java.io.IOException;
-import java.io.InputStream;
-import java.util.*;
 import java.util.List;
+import java.util.Map;
 
 /**
  * @author hongawen
@@ -49,36 +44,39 @@ public class WavePicComponent {
      * @date 2023/9/21 15:32
      * @return String 文件地址
      */
-    public String generateInstantImageZl(List<WaveDataDetail> waveDataDetails) {
+    public String generateInstantImageZl(Integer nPush, List<WaveDataDetail> waveDataDetails, Double lastTime) {
         String firstPic = null, secondPic = null, thirdPic = null, forthPic = null;
+        WaveDataDetail waveDataDetail0 = waveDataDetails.get(0);
+        // 从instantData提取null边界x值，作为共享参考（与Shun图保持一致）
+        List<Float> sharedNullBoundaries = LineGenerator.extractNullBoundaryXValues(waveDataDetail0.getInstantData().getAValue());
         for (WaveDataDetail waveDataDetail : waveDataDetails) {
             if (waveDataDetail.getChannelName().toUpperCase().startsWith("SU")) {
                 firstPic = drawPicUtil.drawWavePic("电压-电网侧", waveDataDetail.getInstantData().getAValue(),
                         waveDataDetail.getInstantData().getBValue(), waveDataDetail.getInstantData().getCValue(),
                         waveDataDetail.getUnit(), waveDataDetail.getInstantData().getMax(), waveDataDetail.getInstantData().getMin(),
                         waveDataDetail.getA(), waveDataDetail.getB(), waveDataDetail.getC(),
-                        waveDataDetail.getColors(), waveDataDetail.getIsOpen()
+                        waveDataDetail.getColors(), waveDataDetail.getIsOpen(),lastTime,sharedNullBoundaries,nPush
                 );
             } else if (waveDataDetail.getChannelName().toUpperCase().startsWith("SI")) {
                 thirdPic = drawPicUtil.drawWavePic("电流-电网侧", waveDataDetail.getInstantData().getAValue(),
                         waveDataDetail.getInstantData().getBValue(), waveDataDetail.getInstantData().getCValue(),
                         waveDataDetail.getUnit(), waveDataDetail.getInstantData().getMax(), waveDataDetail.getInstantData().getMin(),
                         waveDataDetail.getA(), waveDataDetail.getB(), waveDataDetail.getC(),
-                        waveDataDetail.getColors(), waveDataDetail.getIsOpen()
+                        waveDataDetail.getColors(), waveDataDetail.getIsOpen(),lastTime,sharedNullBoundaries,nPush
                 );
             } else if (waveDataDetail.getChannelName().toUpperCase().startsWith("LU")) {
                 secondPic = drawPicUtil.drawWavePic("电压-负载侧", waveDataDetail.getInstantData().getAValue(),
                         waveDataDetail.getInstantData().getBValue(), waveDataDetail.getInstantData().getCValue(),
                         waveDataDetail.getUnit(), waveDataDetail.getInstantData().getMax(), waveDataDetail.getInstantData().getMin(),
                         waveDataDetail.getA(), waveDataDetail.getB(), waveDataDetail.getC(),
-                        waveDataDetail.getColors(), waveDataDetail.getIsOpen()
+                        waveDataDetail.getColors(), waveDataDetail.getIsOpen(),lastTime,sharedNullBoundaries,nPush
                 );
             } else {
                 forthPic = drawPicUtil.drawWavePic("电流-负载侧", waveDataDetail.getInstantData().getAValue(),
                         waveDataDetail.getInstantData().getBValue(), waveDataDetail.getInstantData().getCValue(),
                         waveDataDetail.getUnit(), waveDataDetail.getInstantData().getMax(), waveDataDetail.getInstantData().getMin(),
                         waveDataDetail.getA(), waveDataDetail.getB(), waveDataDetail.getC(),
-                        waveDataDetail.getColors(), waveDataDetail.getIsOpen()
+                        waveDataDetail.getColors(), waveDataDetail.getIsOpen(),lastTime,sharedNullBoundaries,nPush
                 );
             }
         }
@@ -91,36 +89,39 @@ public class WavePicComponent {
      * @date 2023/9/21 15:32
      * @return String 文件地址
      */
-    public String generateRmsImageZl(List<WaveDataDetail> waveDataDetails) {
+    public String generateRmsImageZl(Integer nPush, List<WaveDataDetail> waveDataDetails, Double lastTime) {
         String firstPic = null, secondPic = null, thirdPic = null, forthPic = null;
+        WaveDataDetail waveDataDetail0 = waveDataDetails.get(0);
+        // 从instantData提取null边界x值，作为共享参考（与Shun图保持一致）
+        List<Float> sharedNullBoundaries = LineGenerator.extractNullBoundaryXValues(waveDataDetail0.getInstantData().getAValue());
         for (WaveDataDetail waveDataDetail : waveDataDetails) {
             if (waveDataDetail.getChannelName().toUpperCase().startsWith("SU")) {
                 firstPic = drawPicUtil.drawWavePic("电压-电网侧", waveDataDetail.getRmsData().getAValue(),
                         waveDataDetail.getRmsData().getBValue(), waveDataDetail.getRmsData().getCValue(),
                         waveDataDetail.getUnit(), waveDataDetail.getRmsData().getMax(), waveDataDetail.getRmsData().getMin(),
                         waveDataDetail.getA(), waveDataDetail.getB(), waveDataDetail.getC(),
-                        waveDataDetail.getColors(), waveDataDetail.getIsOpen()
+                        waveDataDetail.getColors(), waveDataDetail.getIsOpen(),lastTime,sharedNullBoundaries,nPush
                 );
             } else if (waveDataDetail.getChannelName().toUpperCase().startsWith("SI")) {
                 thirdPic = drawPicUtil.drawWavePic("电流-电网侧", waveDataDetail.getRmsData().getAValue(),
                         waveDataDetail.getRmsData().getBValue(), waveDataDetail.getRmsData().getCValue(),
                         waveDataDetail.getUnit(), waveDataDetail.getRmsData().getMax(), waveDataDetail.getRmsData().getMin(),
                         waveDataDetail.getA(), waveDataDetail.getB(), waveDataDetail.getC(),
-                        waveDataDetail.getColors(), waveDataDetail.getIsOpen()
+                        waveDataDetail.getColors(), waveDataDetail.getIsOpen(),lastTime,sharedNullBoundaries,nPush
                 );
             } else if (waveDataDetail.getChannelName().toUpperCase().startsWith("LU")) {
                 secondPic = drawPicUtil.drawWavePic("电压-负载侧", waveDataDetail.getRmsData().getAValue(),
                         waveDataDetail.getRmsData().getBValue(), waveDataDetail.getRmsData().getCValue(),
                         waveDataDetail.getUnit(), waveDataDetail.getRmsData().getMax(), waveDataDetail.getRmsData().getMin(),
                         waveDataDetail.getA(), waveDataDetail.getB(), waveDataDetail.getC(),
-                        waveDataDetail.getColors(), waveDataDetail.getIsOpen()
+                        waveDataDetail.getColors(), waveDataDetail.getIsOpen(),lastTime,sharedNullBoundaries,nPush
                 );
             } else {
                 forthPic = drawPicUtil.drawWavePic("电流-负载侧", waveDataDetail.getRmsData().getAValue(),
                         waveDataDetail.getRmsData().getBValue(), waveDataDetail.getRmsData().getCValue(),
                         waveDataDetail.getUnit(), waveDataDetail.getRmsData().getMax(), waveDataDetail.getRmsData().getMin(),
                         waveDataDetail.getA(), waveDataDetail.getB(), waveDataDetail.getC(),
-                        waveDataDetail.getColors(), waveDataDetail.getIsOpen()
+                        waveDataDetail.getColors(), waveDataDetail.getIsOpen(),lastTime,sharedNullBoundaries,nPush
                 );
             }
         }
@@ -209,6 +210,47 @@ public class WavePicComponent {
         return picPath;
     }
 
+    /***
+     * 绘制瞬时波形图 App端用来绘制图片，会去掉部分数据，只保留开始数据 结束数据
+     * @author xy
+     * @return String 文件地址
+     */
+    public String generateImageShun(Integer nPush, List<WaveDataDetail> waveDataDetails, Double lastTime) {
+        String picPath = null;
+        WaveDataDetail waveDataDetail = waveDataDetails.get(0);
+        // 从instantData提取null边界x值，作为共享参考
+        List<Float> sharedNullBoundaries = LineGenerator.extractNullBoundaryXValues(waveDataDetail.getInstantData().getAValue());
+
+        String firstPic = drawPicUtil.drawWavePic(getTitle(waveDataDetail.getChannelName()), waveDataDetail.getInstantData().getAValue(),
+                waveDataDetail.getInstantData().getBValue(), waveDataDetail.getInstantData().getCValue(),
+                waveDataDetail.getUnit(), waveDataDetail.getInstantData().getMax(), waveDataDetail.getInstantData().getMin(),
+                waveDataDetail.getA(), waveDataDetail.getB(), waveDataDetail.getC(),
+                waveDataDetail.getColors(), waveDataDetail.getIsOpen(), lastTime, sharedNullBoundaries,nPush
+        );
+        String secondPic;
+        if (waveDataDetails.size() == 1) {
+            if (firstPic.contains(PicCommonData.PNG_PREFIX)) {
+                firstPic = firstPic.replace(PicCommonData.PNG_PREFIX, "");
+            }
+            byte[] bytes = Base64.getDecoder().decode(firstPic);
+            picPath = fileStorageUtil.uploadStream(new ByteArrayInputStream(bytes), OssPath.EVENT_WAVE_PIC, FileUtil.generateFileName("png"));
+        } else if (waveDataDetails.size() == 2) {
+            waveDataDetail = waveDataDetails.get(1);
+            secondPic = drawPicUtil.drawWavePic(getTitle(waveDataDetail.getChannelName()), waveDataDetail.getInstantData().getAValue(),
+                    waveDataDetail.getInstantData().getBValue(), waveDataDetail.getInstantData().getCValue(),
+                    waveDataDetail.getUnit(), waveDataDetail.getInstantData().getMax(), waveDataDetail.getInstantData().getMin(),
+                    waveDataDetail.getA(), waveDataDetail.getB(), waveDataDetail.getC(),
+                    waveDataDetail.getColors(), waveDataDetail.getIsOpen(), lastTime, sharedNullBoundaries,nPush
+            );
+            picPath = composeImage(firstPic, secondPic);
+        }
+        return picPath;
+    }
+
+    public String getTitle(String channelName) {
+        return channelName.toUpperCase().startsWith("U1") ? "电压" : "电流";
+    }
+
     /***
      * 绘制RMS波形图
      * @author hongawen
@@ -248,6 +290,44 @@ public class WavePicComponent {
         return picPath;
     }
 
+    /***
+     * 绘制RMS波形图 App端用来绘制图片，会去掉部分数据，只保留开始数据 结束数据
+     * @author xy
+     * @return String 文件地址
+     */
+    public String generateImageRms(Integer nPush, List<WaveDataDetail> waveDataDetails, Double lastTime) {
+        String picPath = null;
+        WaveDataDetail waveDataDetail = waveDataDetails.get(0);
+
+        // 从instantData提取null边界x值，作为共享参考（与Shun图保持一致）
+        List<Float> sharedNullBoundaries = LineGenerator.extractNullBoundaryXValues(waveDataDetail.getInstantData().getAValue());
+
+        String firstPic = drawPicUtil.drawWavePic(getTitle(waveDataDetail.getChannelName()), waveDataDetail.getRmsData().getAValue(),
+                waveDataDetail.getRmsData().getBValue(), waveDataDetail.getRmsData().getCValue(),
+                waveDataDetail.getUnit(), waveDataDetail.getRmsData().getMax(), waveDataDetail.getRmsData().getMin(),
+                waveDataDetail.getA(), waveDataDetail.getB(), waveDataDetail.getC(),
+                waveDataDetail.getColors(), waveDataDetail.getIsOpen(), lastTime, sharedNullBoundaries,nPush
+        );
+        String secondPic;
+        if (waveDataDetails.size() == 1) {
+            if (firstPic.contains(PicCommonData.PNG_PREFIX)) {
+                firstPic = firstPic.replace(PicCommonData.PNG_PREFIX, "");
+            }
+            byte[] bytes = Base64.getDecoder().decode(firstPic);
+            picPath = fileStorageUtil.uploadStream(new ByteArrayInputStream(bytes), OssPath.EVENT_WAVE_PIC, FileUtil.generateFileName("png"));
+        } else if (waveDataDetails.size() == 2) {
+            waveDataDetail = waveDataDetails.get(1);
+            secondPic = drawPicUtil.drawWavePic(getTitle(waveDataDetail.getChannelName()), waveDataDetail.getRmsData().getAValue(),
+                    waveDataDetail.getRmsData().getBValue(), waveDataDetail.getRmsData().getCValue(),
+                    waveDataDetail.getUnit(), waveDataDetail.getRmsData().getMax(), waveDataDetail.getRmsData().getMin(),
+                    waveDataDetail.getA(), waveDataDetail.getB(), waveDataDetail.getC(),
+                    waveDataDetail.getColors(), waveDataDetail.getIsOpen(), lastTime, sharedNullBoundaries,nPush
+            );
+            picPath = composeImage(firstPic, secondPic);
+        }
+        return picPath;
+    }
+
     /***
      * 合成图片
      * @author hongawen

pqs-common/common-event/src/main/java/com/njcn/event/file/utils/WaveUtil.java

@@ -7,6 +7,7 @@ import com.njcn.event.file.pojo.dto.WaveDataDTO;
 
 import java.util.ArrayList;
 import java.util.List;
+import java.util.Objects;
 
 /**
  * @author hongawen
@@ -80,6 +81,12 @@ public class WaveUtil {
                 //根据相别来确认标题的名称
                 for (int m = 0; m < iPhase; m++) {
                     if (waveTitle.get(iPhase * i + m + 1).substring(1).contains("A")) {
+                        if (Objects.isNull(sunData.get(j).get(iPhase * i + m + 1))) {
+                            sAValue.add(new ArrayList<Float>() {{
+                                add(x);
+                                add(null);
+                            }});
+                        } else {
                             float tmpShunFirstA = sunData.get(j).get(iPhase * i + m + 1) * xishu;
                             shunFirstA = tmpShunFirstA;
                             sAValue.add(new ArrayList<Float>() {{
@@ -87,7 +94,14 @@ public class WaveUtil {
                                 add(tmpShunFirstA);
                             }});
                         }
+                    }
                     if (waveTitle.get(iPhase * i + m + 1).substring(1).contains("B")) {
+                        if (Objects.isNull(sunData.get(j).get(iPhase * i + m + 1))) {
+                            sBValue.add(new ArrayList<Float>() {{
+                                add(x);
+                                add(null);
+                            }});
+                        } else {
                             float tmpShunFirstB = sunData.get(j).get(iPhase * i + m + 1) * xishu;
                             shunFirstB = tmpShunFirstB;
                             sBValue.add(new ArrayList<Float>() {{
@@ -95,7 +109,14 @@ public class WaveUtil {
                                 add(tmpShunFirstB);
                             }});
                         }
+                    }
                     if (waveTitle.get(iPhase * i + m + 1).substring(1).contains("C")) {
+                        if (Objects.isNull(sunData.get(j).get(iPhase * i + m + 1))) {
+                            sCValue.add(new ArrayList<Float>() {{
+                                add(x);
+                                add(null);
+                            }});
+                        } else {
                             float tmpShunFirstC = sunData.get(j).get(iPhase * i + m + 1) * xishu;
                             shunFirstC = tmpShunFirstC;
                             sCValue.add(new ArrayList<Float>() {{
@@ -104,6 +125,7 @@ public class WaveUtil {
                             }});
                         }
                     }
+                }
                 sfMax = getMax(sfMax, shunFirstA, shunFirstB, shunFirstC);
                 if (openTri) {
                     sfMin = getMinOpen(sfMin, shunFirstA, shunFirstC);
@@ -124,6 +146,12 @@ public class WaveUtil {
                 //根据相别来确认标题的名称
                 for (int m = 0; m < iPhase; m++) {
                     if (waveTitle.get(iPhase * i + m + 1).substring(1).contains("A")) {
+                        if (Objects.isNull(rmsData.get(k).get(iPhase * i + m + 1))) {
+                            rAValue.add(new ArrayList<Float>() {{
+                                add(x);
+                                add(null);
+                            }});
+                        } else {
                             float tmpRmsFirstA = rmsData.get(k).get(iPhase * i + m + 1) * xishu;
                             rmsFirstA = tmpRmsFirstA;
                             rAValue.add(new ArrayList<Float>() {{
@@ -131,7 +159,14 @@ public class WaveUtil {
                                 add(tmpRmsFirstA);
                             }});
                         }
+                    }
                     if (waveTitle.get(iPhase * i + m + 1).substring(1).contains("B")) {
+                        if (Objects.isNull(rmsData.get(k).get(iPhase * i + m + 1))) {
+                            rBValue.add(new ArrayList<Float>() {{
+                                add(x);
+                                add(null);
+                            }});
+                        } else {
                             float tmpRmsFirstB = rmsData.get(k).get(iPhase * i + m + 1) * xishu;
                             rmsFirstB = tmpRmsFirstB;
                             rBValue.add(new ArrayList<Float>() {{
@@ -139,7 +174,15 @@ public class WaveUtil {
                                 add(tmpRmsFirstB);
                             }});
                         }
+
+                    }
                     if (waveTitle.get(iPhase * i + m + 1).substring(1).contains("C")) {
+                        if (Objects.isNull(rmsData.get(k).get(iPhase * i + m + 1))) {
+                            rCValue.add(new ArrayList<Float>() {{
+                                add(x);
+                                add(null);
+                            }});
+                        } else {
                             float tmpRmsFirstC = rmsData.get(k).get(iPhase * i + m + 1) * xishu;
                             rmsFirstC = tmpRmsFirstC;
                             rCValue.add(new ArrayList<Float>() {{
@@ -148,6 +191,7 @@ public class WaveUtil {
                             }});
                         }
                     }
+                }
                 rfMax = getMax(sfMax, rmsFirstA, rmsFirstB, rmsFirstC);
                 if (openTri) {
                     rfMin = getMinOpen(sfMin, rmsFirstA, rmsFirstC);

pqs-common/common-web/src/main/java/com/njcn/web/utils/RestTemplateUtil.java

@@ -1,5 +1,8 @@
 package com.njcn.web.utils;
 
+import cn.hutool.json.JSONArray;
+import cn.hutool.json.JSONObject;
+import cn.hutool.json.JSONUtil;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
 import org.springframework.http.*;
@@ -149,7 +152,8 @@ public class RestTemplateUtil {
      * @return ResponseEntity 响应对象封装类
      */
     public static <T> ResponseEntity<T> post(String url, Object requestBody, Class<T> responseType) {
-        return restTemplate.postForEntity(url, requestBody, responseType);
+        Object actualBody = convertHutoolJsonToStandard(requestBody);
+        return restTemplate.postForEntity(url, actualBody, responseType);
     }
 
     /**
@@ -162,7 +166,8 @@ public class RestTemplateUtil {
      * @return ResponseEntity 响应对象封装类
      */
     public static <T> ResponseEntity<T> post(String url, Object requestBody, Class<T> responseType, Object... uriVariables) {
-        return restTemplate.postForEntity(url, requestBody, responseType, uriVariables);
+        Object actualBody = convertHutoolJsonToStandard(requestBody);
+        return restTemplate.postForEntity(url, actualBody, responseType, uriVariables);
     }
 
     /**
@@ -175,7 +180,21 @@ public class RestTemplateUtil {
      * @return ResponseEntity 响应对象封装类
      */
     public static <T> ResponseEntity<T> post(String url, Object requestBody, Class<T> responseType, Map<String, ?> uriVariables) {
-        return restTemplate.postForEntity(url, requestBody, responseType, uriVariables);
+        Object actualBody = convertHutoolJsonToStandard(requestBody);
+        return restTemplate.postForEntity(url, actualBody, responseType, uriVariables);
+    }
+
+    private static Object convertHutoolJsonToStandard(Object requestBody) {
+        if (requestBody instanceof JSONObject || requestBody instanceof JSONArray) {
+            try {
+                com.fasterxml.jackson.databind.ObjectMapper objectMapper = new com.fasterxml.jackson.databind.ObjectMapper();
+                return objectMapper.readValue(JSONUtil.toJsonStr(requestBody), Object.class);
+            } catch (Exception e) {
+                log.warn("Hutool JSON转标准结构失败，尝试直接使用字符串", e);
+                return requestBody;
+            }
+        }
+        return requestBody;
     }
 
     /**