merge upstream
This commit is contained in:
@ -3,18 +3,43 @@ package com.fuyuanshen.common.core.utils.file;
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import lombok.extern.slf4j.Slf4j;
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import javax.imageio.ImageIO;
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import javax.imageio.ImageWriteParam;
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import javax.imageio.ImageWriter;
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import java.awt.*;
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import java.awt.image.BufferedImage;
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import java.io.ByteArrayInputStream;
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import java.io.ByteArrayOutputStream;
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import java.io.IOException;
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import java.util.Iterator;
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/**
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* 图片压缩工具类
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*
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* @author AprilWind
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*/
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@Slf4j
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public class ImageCompressUtil {
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/**
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* 默认压缩目标大小(100KB)
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*/
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private static final int DEFAULT_COMPRESS_SIZE = 100 * 1024;
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/**
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* 默认触发压缩的大小(1MB)
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*/
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private static final int DEFAULT_TRIGGER_SIZE = 1024 * 1024;
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/**
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* 压缩图片到指定大小以下(默认100KB)
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*
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* @param imageData 原始图片数据
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* @return 压缩后的图片数据
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*/
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public static byte[] compressImage(byte[] imageData) {
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return compressImage(imageData, DEFAULT_COMPRESS_SIZE);
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}
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/**
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* 压缩图片到指定大小以下
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*
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@ -36,24 +61,54 @@ public class ImageCompressUtil {
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return imageData;
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}
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// 计算压缩比例
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double scale = Math.sqrt((double) maxSize / imageData.length);
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// 确保至少压缩到一半大小,避免压缩效果不明显
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scale = Math.max(scale, 0.5);
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// 检查图片是否包含透明度
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boolean hasAlpha = hasAlpha(originalImage);
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String formatName = hasAlpha ? "png" : "jpg";
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// 压缩图片
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byte[] compressedData = compressImageByScale(originalImage, scale);
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// 对于小尺寸PNG图片可跳过压缩以保持图像质量
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if ("png".equals(formatName) && imageData.length <= 2 * maxSize) {
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log.debug("PNG图片大小适中({} bytes),跳过压缩", imageData.length);
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return imageData;
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}
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// 先尝试质量压缩
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byte[] compressedData = compressImageQuality(originalImage, formatName, 0.8f);
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// 如果质量压缩后仍大于目标大小,则进行尺寸压缩
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if (compressedData.length > maxSize) {
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// 计算缩放比例
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double scale = Math.sqrt((double) maxSize / compressedData.length);
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scale = Math.max(scale, 0.5); // 最小缩放到原来的一半
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// 尺寸压缩
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compressedData = compressImageByScale(originalImage, scale, formatName);
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}
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// 如果压缩后还是太大,继续压缩
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int attempts = 0;
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while (compressedData.length > maxSize && attempts < 5) {
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scale *= 0.8; // 每次缩小20%
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compressedData = compressImageByScale(originalImage, scale);
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// 优先降低质量
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float quality = Math.max(0.1f, 0.8f - attempts * 0.1f);
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compressedData = compressImageQuality(originalImage, formatName, quality);
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// 如果质量压缩不够,再缩小尺寸
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if (compressedData.length > maxSize) {
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double scale = 0.9 - attempts * 0.1; // 逐步缩小尺寸
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scale = Math.max(scale, 0.5);
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compressedData = compressImageByScale(originalImage, scale, formatName);
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}
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attempts++;
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}
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log.info("图片压缩完成,原始大小: {} bytes, 压缩后大小: {} bytes, 压缩比例: {}",
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imageData.length, compressedData.length, String.format("%.2f", scale));
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log.info("图片压缩完成,原始大小: {} bytes, 压缩后大小: {} bytes, 压缩率: {}%",
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imageData.length, compressedData.length,
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String.format("%.2f", (1.0 - (double) compressedData.length / imageData.length) * 100));
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// 如果压缩后反而变大了,则使用原始数据
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if (compressedData.length >= imageData.length) {
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log.debug("压缩后数据变大,使用原始数据");
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return imageData;
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}
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return compressedData;
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} catch (Exception e) {
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@ -62,16 +117,16 @@ public class ImageCompressUtil {
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}
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}
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/**
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* 按比例缩放图片
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*
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* @param originalImage 原始图片
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* @param scale 缩放比例
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* @param formatName 图片格式
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* @return 缩放后的图片数据
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* @throws IOException IO异常
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*/
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private static byte[] compressImageByScale(BufferedImage originalImage, double scale) throws IOException {
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private static byte[] compressImageByScale(BufferedImage originalImage, double scale, String formatName) throws IOException {
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int width = (int) (originalImage.getWidth() * scale);
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int height = (int) (originalImage.getHeight() * scale);
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@ -79,13 +134,73 @@ public class ImageCompressUtil {
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Image scaledImage = originalImage.getScaledInstance(width, height, Image.SCALE_SMOOTH);
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BufferedImage bufferedImage = new BufferedImage(width, height, BufferedImage.TYPE_INT_RGB);
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Graphics2D g2d = bufferedImage.createGraphics();
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// 绘制缩放后的图片
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g2d.drawImage(scaledImage, 0, 0, null);
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g2d.dispose();
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// 输出为JPEG格式
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// 输出为指定格式
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ByteArrayOutputStream baos = new ByteArrayOutputStream();
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ImageIO.write(bufferedImage, "jpg", baos);
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ImageIO.write(bufferedImage, formatName, baos);
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return baos.toByteArray();
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}
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/**
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* 按质量压缩图片
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*
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* @param originalImage 原始图片
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* @param formatName 图片格式
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* @param quality 压缩质量(0.1-1.0)
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* @return 压缩后的图片数据
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* @throws IOException IO异常
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*/
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private static byte[] compressImageQuality(BufferedImage originalImage, String formatName, float quality) throws IOException {
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// 创建压缩参数
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Iterator<ImageWriter> writers = ImageIO.getImageWritersByFormatName(formatName);
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if (!writers.hasNext()) {
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log.warn("找不到合适的图片写入器");
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ByteArrayOutputStream baos = new ByteArrayOutputStream();
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ImageIO.write(originalImage, formatName, baos);
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return baos.toByteArray();
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}
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ImageWriter writer = writers.next();
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ImageWriteParam param = writer.getDefaultWriteParam();
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// 设置压缩参数
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if (param.canWriteCompressed()) {
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param.setCompressionMode(ImageWriteParam.MODE_EXPLICIT);
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param.setCompressionQuality(quality);
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}
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// 写入压缩后的图片数据
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ByteArrayOutputStream compressedOutputStream = new ByteArrayOutputStream();
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writer.setOutput(ImageIO.createImageOutputStream(compressedOutputStream));
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writer.write(null, new javax.imageio.IIOImage(originalImage, null, null), param);
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writer.dispose();
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return compressedOutputStream.toByteArray();
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}
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/**
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* 检查图片是否包含透明度
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*
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* @param image 图片
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* @return 是否包含透明度
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*/
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private static boolean hasAlpha(BufferedImage image) {
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return image.getType() == BufferedImage.TYPE_4BYTE_ABGR ||
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image.getType() == BufferedImage.TYPE_INT_ARGB ||
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image.getColorModel().hasAlpha();
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}
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/**
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* 判断图片是否需要压缩(超过1MB)
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*
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* @param imageData 图片数据
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* @return 是否需要压缩
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*/
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public static boolean needCompress(byte[] imageData) {
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return imageData.length > DEFAULT_TRIGGER_SIZE;
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}
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}
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@ -4,6 +4,8 @@ import com.alibaba.excel.converters.Converter;
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import com.alibaba.excel.metadata.GlobalConfiguration;
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import com.alibaba.excel.metadata.data.WriteCellData;
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import com.alibaba.excel.metadata.property.ExcelContentProperty;
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import com.fuyuanshen.common.core.utils.file.ImageCompressUtil;
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import com.fuyuanshen.common.redis.utils.RedisUtils;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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@ -12,12 +14,14 @@ import java.io.InputStream;
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import java.net.HttpURLConnection;
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import java.net.URL;
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import java.net.URLConnection;
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import java.util.Base64;
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import java.util.HashSet;
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import java.util.Set;
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/**
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* @author: 默苍璃
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* @date: 2025-06-0618:56
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*/
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public class IgnoreFailedImageConverter implements Converter<URL> {
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private static final Logger logger = LoggerFactory.getLogger(IgnoreFailedImageConverter.class);
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@ -25,23 +29,50 @@ public class IgnoreFailedImageConverter implements Converter<URL> {
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private static final int MAX_RETRIES = 3;
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// 指数退避初始延迟(毫秒)
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private static final int INITIAL_DELAY = 1000;
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// 图片压缩阈值(1MB)
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private static final int COMPRESSION_THRESHOLD = 1024 * 1024;
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// 压缩目标大小(100KB)
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private static final int COMPRESSION_TARGET = 100 * 1024;
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// 用于跟踪本次任务中使用到的URL缓存键
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private static final ThreadLocal<Set<String>> USED_CACHE_KEYS = new ThreadLocal<Set<String>>() {
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@Override
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protected Set<String> initialValue() {
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return new HashSet<>();
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}
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};
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@Override
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public Class<?> supportJavaTypeKey() {
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return URL.class;
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}
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@Override
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public WriteCellData<?> convertToExcelData(URL value, ExcelContentProperty contentProperty, GlobalConfiguration globalConfiguration) {
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if (value == null) {
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logger.debug("图片URL为空");
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logger.info("图片URL为空");
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return new WriteCellData<>(new byte[0]);
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}
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String cacheKey = "excel:image:" + value.toString();
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// 将当前使用的缓存键添加到集合中
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USED_CACHE_KEYS.get().add(cacheKey);
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// 尝试从缓存获取
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String cachedData = RedisUtils.getCacheObject(cacheKey);
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if (cachedData != null) {
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// 从缓存中读取Base64编码的数据并解码
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byte[] cachedBytes = Base64.getDecoder().decode(cachedData);
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logger.info("从缓存获取图片数据: {}, 大小: {} 字节", value, cachedBytes.length);
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return new WriteCellData<>(cachedBytes);
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}
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// 缓存未命中,从URL加载
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// 尝试多次加载图片
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for (int attempt = 1; attempt <= MAX_RETRIES; attempt++) {
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try {
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logger.debug("开始加载图片: {}, 尝试次数: {}", value, attempt);
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logger.info("开始加载图片: {}, 尝试次数: {}", value, attempt);
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URLConnection conn = value.openConnection();
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// 增加连接和读取超时时间
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conn.setConnectTimeout(10000); // 10秒连接超时
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@ -62,34 +93,40 @@ public class IgnoreFailedImageConverter implements Converter<URL> {
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// 检查响应码
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int responseCode = httpConn.getResponseCode();
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if (responseCode != HttpURLConnection.HTTP_OK) {
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logger.warn("HTTP响应码异常: {}, URL: {}", responseCode, value);
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logger.info("HTTP响应码异常: {}, URL: {}", responseCode, value);
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if (attempt < MAX_RETRIES) {
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// 等待后重试
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waitForRetry(attempt);
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continue;
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} else {
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// 将空数据写入缓存
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RedisUtils.setCacheObject(cacheKey, "");
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return new WriteCellData<>(new byte[0]);
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}
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}
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}
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long contentLength = conn.getContentLengthLong();
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logger.debug("连接建立成功,图片大小: {} 字节", contentLength);
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logger.info("连接建立成功,图片大小: {} 字节", contentLength);
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// 检查内容长度是否有效
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if (contentLength == 0) {
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logger.warn("图片文件为空: {}", value);
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logger.info("图片文件为空: {}", value);
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if (attempt < MAX_RETRIES) {
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waitForRetry(attempt);
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continue;
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} else {
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// 将空数据写入缓存
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RedisUtils.setCacheObject(cacheKey, "");
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return new WriteCellData<>(new byte[0]);
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}
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}
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// 限制图片大小(防止过大文件导致内存问题)
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if (contentLength > 10 * 1024 * 1024) { // 10MB限制
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logger.warn("图片文件过大 ({} bytes),跳过加载: {}", contentLength, value);
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logger.info("图片文件过大 ({} bytes),跳过加载: {}", contentLength, value);
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// 将空数据写入缓存
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RedisUtils.setCacheObject(cacheKey, "");
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return new WriteCellData<>(new byte[0]);
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}
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@ -100,49 +137,95 @@ public class IgnoreFailedImageConverter implements Converter<URL> {
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// 检查读取到的数据是否为空
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if (bytes == null || bytes.length == 0) {
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logger.warn("读取到空的图片数据: {}", value);
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logger.info("读取到空的图片数据: {}", value);
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if (attempt < MAX_RETRIES) {
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waitForRetry(attempt);
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continue;
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} else {
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// 将空数据写入缓存
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RedisUtils.setCacheObject(cacheKey, "");
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return new WriteCellData<>(new byte[0]);
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}
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}
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logger.debug("成功读取图片数据,大小: {} 字节", bytes.length);
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// 如果图片大于1MB,则进行压缩
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if (bytes.length > COMPRESSION_THRESHOLD) {
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logger.info("图片大小超过1MB ({} bytes),开始压缩", bytes.length);
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long beforeCompressSize = bytes.length;
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bytes = ImageCompressUtil.compressImage(bytes, COMPRESSION_TARGET);
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long afterCompressSize = bytes.length;
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logger.info("图片压缩完成,压缩前大小: {} bytes, 压缩后大小: {} bytes, 压缩率: {}%",
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beforeCompressSize, afterCompressSize,
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String.format("%.2f", (1.0 - (double) afterCompressSize / beforeCompressSize) * 100));
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}
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logger.info("成功读取图片数据,大小: {} 字节", bytes.length);
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// 将数据写入缓存,不设置过期时间,使用Base64编码存储
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String encodedData = Base64.getEncoder().encodeToString(bytes);
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RedisUtils.setCacheObject(cacheKey, encodedData);
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return new WriteCellData<>(bytes);
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}
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} catch (Exception e) {
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logger.warn("图片加载失败: {}, 尝试次数: {}, 原因: {}", value, attempt, e.getMessage(), e);
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logger.info("图片加载失败: {}, 尝试次数: {}, 原因: {}", value, attempt, e.getMessage(), e);
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if (attempt < MAX_RETRIES) {
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// 等待后重试
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waitForRetry(attempt);
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} else {
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// 最后一次尝试也失败了
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logger.error("图片加载最终失败,已重试 {} 次: {}", MAX_RETRIES, value, e);
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logger.info("图片加载最终失败,已重试 {} 次: {}", MAX_RETRIES, value, e);
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// 将空数据写入缓存
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RedisUtils.setCacheObject(cacheKey, "");
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return new WriteCellData<>(new byte[0]); // 返回空数组而不是 null
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}
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}
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}
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// 所有尝试都失败了
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// 将空数据写入缓存
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RedisUtils.setCacheObject(cacheKey, "");
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return new WriteCellData<>(new byte[0]);
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}
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/**
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* 清理未使用的缓存
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* 任务结束后调用此方法,删除本次任务中未使用的URL缓存
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*/
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public static void cleanUnusedCache() {
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Set<String> usedKeys = USED_CACHE_KEYS.get();
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if (usedKeys != null && !usedKeys.isEmpty()) {
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// 获取所有图片缓存键
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Iterable<String> allKeys = RedisUtils.keys("excel:image:*");
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if (allKeys != null) {
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// 删除未使用的缓存
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for (String key : allKeys) {
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if (!usedKeys.contains(key)) {
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RedisUtils.deleteObject(key);
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logger.info("删除未使用的缓存: {}", key);
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}
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}
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}
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// 清理ThreadLocal
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USED_CACHE_KEYS.remove();
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}
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}
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/**
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* 等待重试,使用指数退避策略
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*
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* @param attempt 当前尝试次数
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*/
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private void waitForRetry(int attempt) {
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try {
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long delay = (long) INITIAL_DELAY * (1L << (attempt - 1)); // 指数退避
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logger.debug("等待 {} 毫秒后重试...", delay);
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logger.info("等待 {} 毫秒后重试...", delay);
|
||||
Thread.sleep(delay);
|
||||
} catch (InterruptedException ie) {
|
||||
Thread.currentThread().interrupt();
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* 替代 FileUtils.readInputStream 的自定义方法
|
||||
*
|
||||
@ -162,11 +245,12 @@ public class IgnoreFailedImageConverter implements Converter<URL> {
|
||||
|
||||
// 如果读取的数据过大,提前终止
|
||||
if (totalBytes > 10 * 1024 * 1024) { // 10MB限制
|
||||
logger.warn("读取的图片数据超过10MB限制,提前终止");
|
||||
logger.info("读取的图片数据超过10MB限制,提前终止");
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
return outputStream.toByteArray();
|
||||
}
|
||||
|
||||
}
|
||||
@ -83,6 +83,7 @@ public class DeviceExportService {
|
||||
}
|
||||
|
||||
|
||||
|
||||
/**
|
||||
* 导出设备数据(包含完整设备类型信息)
|
||||
*
|
||||
@ -183,6 +184,7 @@ public class DeviceExportService {
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* 转换定位方式代码为中文描述
|
||||
*
|
||||
|
||||
@ -6,6 +6,7 @@ import cn.hutool.core.util.ObjectUtil;
|
||||
import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
|
||||
import com.baomidou.mybatisplus.core.toolkit.Wrappers;
|
||||
import com.baomidou.mybatisplus.extension.plugins.pagination.Page;
|
||||
import com.fuyuanshen.common.core.utils.file.ImageCompressUtil;
|
||||
import jakarta.servlet.http.HttpServletResponse;
|
||||
import lombok.RequiredArgsConstructor;
|
||||
import com.fuyuanshen.common.core.constant.CacheNames;
|
||||
@ -169,7 +170,7 @@ public class SysOssServiceImpl implements ISysOssService, OssService {
|
||||
|
||||
@Override
|
||||
public int updateHashById(long ossId, String fileHash) {
|
||||
return baseMapper.updateHashById(ossId,fileHash);
|
||||
return baseMapper.updateHashById(ossId, fileHash);
|
||||
}
|
||||
|
||||
|
||||
@ -191,6 +192,7 @@ public class SysOssServiceImpl implements ISysOssService, OssService {
|
||||
storage.download(sysOss.getFileName(), response.getOutputStream(), response::setContentLengthLong);
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* 上传 MultipartFile 到对象存储服务,并保存文件信息到数据库
|
||||
*
|
||||
@ -209,14 +211,22 @@ public class SysOssServiceImpl implements ISysOssService, OssService {
|
||||
OssClient storage = OssFactory.instance();
|
||||
UploadResult uploadResult;
|
||||
try {
|
||||
uploadResult = storage.uploadSuffix(file.getBytes(), suffix, file.getContentType());
|
||||
byte[] imageData = file.getBytes();
|
||||
// 检查是否需要压缩
|
||||
if (ImageCompressUtil.needCompress(imageData)) {
|
||||
// 压缩到100KB以内
|
||||
imageData = ImageCompressUtil.compressImage(imageData);
|
||||
// 使用压缩后的数据
|
||||
}
|
||||
uploadResult = storage.uploadSuffix(imageData, suffix, file.getContentType());
|
||||
} catch (IOException e) {
|
||||
throw new ServiceException(e.getMessage());
|
||||
}
|
||||
// 保存文件信息
|
||||
return buildResultEntity(originalfileName, suffix, storage.getConfigKey(), uploadResult,hash);
|
||||
return buildResultEntity(originalfileName, suffix, storage.getConfigKey(), uploadResult, hash);
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* 上传 MultipartFile 到对象存储服务,并保存文件信息到数据库
|
||||
*
|
||||
@ -236,7 +246,7 @@ public class SysOssServiceImpl implements ISysOssService, OssService {
|
||||
throw new ServiceException(e.getMessage());
|
||||
}
|
||||
// 保存文件信息
|
||||
return buildResultEntity(originalfileName, suffix, storage.getConfigKey(), uploadResult,null);
|
||||
return buildResultEntity(originalfileName, suffix, storage.getConfigKey(), uploadResult, null);
|
||||
}
|
||||
|
||||
/**
|
||||
@ -252,11 +262,10 @@ public class SysOssServiceImpl implements ISysOssService, OssService {
|
||||
OssClient storage = OssFactory.instance();
|
||||
UploadResult uploadResult = storage.uploadSuffix(file, suffix);
|
||||
// 保存文件信息
|
||||
return buildResultEntity(originalfileName, suffix, storage.getConfigKey(), uploadResult,null);
|
||||
return buildResultEntity(originalfileName, suffix, storage.getConfigKey(), uploadResult, null);
|
||||
}
|
||||
|
||||
|
||||
|
||||
/**
|
||||
* 上传二进制数据到对象存储服务,并保存文件信息到数据库
|
||||
*
|
||||
@ -281,7 +290,7 @@ public class SysOssServiceImpl implements ISysOssService, OssService {
|
||||
uploadResult = storage.uploadSuffix(data, suffix, "image/jpeg"); // 假设是图片类型,可以根据实际需要修改
|
||||
|
||||
// 保存文件信息
|
||||
return buildResultEntity(fileName, suffix, storage.getConfigKey(), uploadResult,null);
|
||||
return buildResultEntity(fileName, suffix, storage.getConfigKey(), uploadResult, null);
|
||||
}
|
||||
|
||||
|
||||
|
||||
Reference in New Issue
Block a user