}
在需要用到该接口时注入feign服务,调用即可
package com.cloud.photo.api.service.impl;
import cn.dev33.satoken.session.SaSession;
import cn.dev33.satoken.stp.StpUtil;
import cn.hutool.core.util.StrUtil;
import com.alibaba.fastjson.JSON;
import com.cloud.photo.api.feign.UserFeignService;
import com.cloud.photo.api.service.LoginService;
import com.cloud.photo.common.bo.UserBo;
import com.cloud.photo.common.common.CommonEnum;
import com.cloud.photo.common.common.ResultBody;
import com.cloud.photo.common.constant.CommonConstant;
import org.springframework.stereotype.Service;
import javax.annotation.Resource;
import java.util.regex.Pattern;
@Service
public class LoginServiceImpl implements LoginService {
@Resource
private UserFeignService userFeignService;
@Override
//获得用户信息,先从缓存获取,没有则创建缓存
public ResultBody getUserInfo() {
if (StpUtil.isLogin()) {
//用户登录ID
String loginId = StpUtil.getLoginIdAsString();
//如果session里面有信息优先从里面拿
SaSession session = StpUtil.getSessionByLoginId(loginId);
if (session != null) {
String userInfo = session.getModel(CommonConstant.USER_INFO, String.class);
if (userInfo != null) {
return ResultBody.success(JSON.parseObject(userInfo, UserBo.class));
}
}
//否则访问user服务获取用户信息
ResultBody userInfo = userFeignService.getUserInfo(loginId);
if (userInfo.getCode().equals(CommonEnum.SUCCESS.getResultCode())){
//成功拿到用户信息就存缓存里面,true是有的话就存,没有的话就新建
SaSession saSession = StpUtil.getSessionByLoginId(loginId, true);
saSession.set(CommonConstant.USER_INFO, JSON.toJSONString(userInfo.getData()));
}
return userInfo;
}
//未登录
return ResultBody.error(CommonEnum.NO_LOGIN);
}
}
### (4)图片上传
此部分未项目重点,请做好笔记!!以下我将介绍整个图片上传流程
**使用步骤**
在父工程导入依赖,部分依赖上面已经导入,这里仅展示未导入的
<!-- kafka-->
<dependency>
<groupId>org.springframework.kafka</groupId>
<artifactId>spring-kafka</artifactId>
</dependency>
<!-- hutool工具-->
<dependency>
<groupId>cn.hutool</groupId>
<artifactId>hutool-all</artifactId>
<version>4.1.1</version>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId>
<version>1.2.51</version>
</dependency>
<!-- 上传图片需要用到-->
<dependency>
<groupId>com.amazonaws</groupId>
<artifactId>aws-java-sdk-core</artifactId>
<version>1.12.487</version>
</dependency>
<dependency>
<groupId>com.amazonaws</groupId>
<artifactId>aws-java-sdk-s3</artifactId>
<version>1.12.487</version>
</dependency>
图片上传流程分为两步:获取上传地址和提交上传记录
#### 获取上传地址
1.这是获取上传地址接口,这里把用户id放入FileUploadBo就进入putuploadService业务层代码。前端传过来FileUploadBo 包括category图片分类,fileName文件名,fileSize图片大小,fileMd5图片的md5值。
@Autowired
PutuploadService putuploadService;
/**
* 获取上传地址
*
* @return 每一张图片一个上传地址
*/
@SaCheckLogin
@PostMapping("getPutUploadUrl")
public ResultBody getPutUploadUrl(@RequestBody FileUploadBo bo) {
//从缓存拿到用户信息
UserBo userInfo = MyUtils.getUserInfo();
if (userInfo == null) {
return ResultBody.error(CommonEnum.USER_IS_NULL);
}
//用户ID
String userId = userInfo.getUserId();
//判断下上传的文件是否为空
if (bo == null) {
return ResultBody.error(CommonEnum.FILE_LIST_IS_NULL);
}
//拼接用户ID
bo.setUserId(userId);
// 业务实现
return putuploadService.getPutUploadUrl(bo);
}
2.我们先看trans服务里的代码,因为putuploadService需要远程调用它。首先根据图片的md5值来查询是否有相同的图片已经上传过,这样的话就可以节省资源。如果图片已存在则称为秒传。如果图片存在的话我们直接返回storageObjectId(图片的存储id,这是数据库的主键)即可,因为图片已经上传过了,已经不需要拿他的上传地址了。如果图片不存在则需要进行图片上传,调用S3Util来进行上传,然后返回S3Util生成的返回值,重点是图片上传地址。
\*\*\*注意,秒传和非秒传返回值是不同的\*\*\*
@Autowired
IFileMd5Service iFileService;
public String getPutUploadUrl(String fileName, String fileMd5, Long fileSize) {
//文件已存在 进行秒传 直接将存储id返回
FileMd5 fileMd5Entity = iFileService.getOne(new QueryWrapper<FileMd5>().eq("md5", fileMd5));
if (fileMd5Entity != null) {
JSONObject jsonObject = new JSONObject();
jsonObject.put("storageObjectId", fileMd5Entity.getStorageObjectId());
return jsonObject.toJSONString();
}
//文件不存在
String suffixName = "";
if (StringUtils.isNotBlank(fileName)) {//检查fileName为不为空
suffixName = fileName.substring(fileName.lastIndexOf(".") + 1, fileName.length());
}
return S3Util.getPutUploadUrl(suffixName, fileMd5);//上传图片,返回上传信息
}
3.然后我们看看S3Util的代码。主要就是把图片上传到Minio,也可以选择服务商的桶服务存储,原理是差不多的,我选择的是Minio。原理就是先建立连接然后将文件的md5转换为base64上传到Minio存储,然后返回上传信息。这里的代码会用即可。
package com.cloud.photo.common.util;
import cn.hutool.core.codec.Base64;
import com.alibaba.fastjson.JSONObject;
import com.amazonaws.HttpMethod;
import com.amazonaws.auth.AWSCredentials;
import com.amazonaws.auth.AWSStaticCredentialsProvider;
import com.amazonaws.auth.BasicAWSCredentials;
import com.amazonaws.auth.profile.ProfileCredentialsProvider;
import com.amazonaws.client.builder.AwsClientBuilder;
import com.amazonaws.services.s3.AmazonS3;
import com.amazonaws.services.s3.AmazonS3ClientBuilder;
import com.amazonaws.services.s3.model.*;
import io.micrometer.core.instrument.util.StringUtils;
import org.apache.tomcat.util.buf.HexUtils;
import java.io.;
import java.net.URL;
import java.net.URLEncoder;
import java.util.;
public class S3Util {
private static String accessKey = "minioadmin";
private static String secretKey = "minioadmin";
private static String bucketName = "cloud-photo";
private static String serviceEndpoint = "http://127.0.0.1:9000";
private static String containerId = "10001";
/**
* 获取上传地址
* @param suffixName
* @param fileMd5
* @return
*/
public static String getPutUploadUrl(String suffixName,String fileMd5) {
//链接过期时间
Date expiration = new Date();
long expTimeMillis = expiration.getTime();
expTimeMillis += 1000 * 60 * 10;
expiration.setTime(expTimeMillis);
String objectId = UUID.randomUUID().toString().replaceAll("-","");
String base64Md5 = "";
if(StringUtils.isNotBlank(suffixName)){
objectId = objectId +"." + suffixName;
}
//建立S3客户端,获取上传地址
AmazonS3 s3Client = getAmazonS3Client();
GeneratePresignedUrlRequest generatePresignedUrlRequest =
new GeneratePresignedUrlRequest(bucketName, objectId)
.withMethod(HttpMethod.PUT)
.withExpiration(expiration);
if(StringUtils.isNotBlank(fileMd5)){
base64Md5= Base64.encode(HexUtils.fromHexString(fileMd5));
generatePresignedUrlRequest = generatePresignedUrlRequest.withContentMd5(base64Md5);
}
URL url = s3Client.generatePresignedUrl(generatePresignedUrlRequest);
JSONObject jsonObject =new JSONObject();
jsonObject.put("objectId",objectId);
jsonObject.put("url",url);
jsonObject.put("containerId",containerId);
jsonObject.put("base64Md5",base64Md5);
return jsonObject.toJSONString();
}
}
4.这是第1中调用的putuploadService,首先需要通过Feign远程调用trans服务,2.3中已经介绍了,返回值可能有两个信息storageObjectId(秒传)和图片上传信息(非秒传)。然后根据是否为秒传设置fileUploadBo的属性, fileUploadBo的传输状态设置为传送中,然后存入redis中,后续可以查看传输进度。
@Autowired
private CloudPhotoTransService cloudPhotoTransService;
@Resource
private StringRedisTemplate stringRedisTemplate;
@Override
public ResultBody getPutUploadUrl(FileUploadBo fileUploadBo) {
ResultBody resultBody = cloudPhotoTransService.getPutUploadUrl(fileUploadBo.getUserId(),
fileUploadBo.getFileSize(),
fileUploadBo.getFileMd5(),
fileUploadBo.getFileName());
//存进缓存的Key
String key = fileUploadBo.getUserId() + ":" + fileUploadBo.getFileMd5();
if (resultBody.getCode().equals(CommonEnum.SUCCESS.getResultCode())) {
//成功
JSONObject obj = JSONUtil.parseObj(resultBody.getData());
if (obj.containsKey("storageObjectId")) {
//是秒传
fileUploadBo.setStorageObjectId(obj.getStr("storageObjectId"));
} else {
//不是秒传
fileUploadBo.setContainerId(obj.getStr("containerId"));
fileUploadBo.setObjectId(obj.getStr("objectId"));
fileUploadBo.setUploadUrl(obj.getStr("url"));
fileUploadBo.setBase64Md5(obj.getStr("base64Md5"));
}
//成功了状态是传输中
fileUploadBo.setStatus(CommonConstant.FILE_UPLOAD_ING);
fileUploadBo.setUploadTime(DateUtil.now());
stringRedisTemplate.opsForValue().set(key, JSONUtil.toJsonStr(fileUploadBo), 1, TimeUnit.DAYS);
} else {
//失败了状态是传输失败
fileUploadBo.setStatus(CommonConstant.FILE_UPLOAD_FAIL);
fileUploadBo.setUploadTime(DateUtil.now());
stringRedisTemplate.opsForValue().set(key, JSONUtil.toJsonStr(fileUploadBo), 1, TimeUnit.DAYS);
}
return ResultBody.success(fileUploadBo);
}
获取上传地址这部分流程就结束了
#### 提交上传记录
因为上一步我们只是将图片上传了,但相应记录还并未在数据库进行保存,所以这部分就是来解决这个问题的。
1.这是提交记录的接口,接受上一步中的FileUploadBo ,调用业务层commitUpload代码
/**
* 提交
*
* @return 结果
*/
@SaCheckLogin
@PostMapping("commitUpload")
//将图片入数据库
public ResultBody commitUpload(@RequestBody FileUploadBo bo) {
//从缓存拿到用户信息
UserBo userInfo = MyUtils.getUserInfo();
if (userInfo == null) {
return ResultBody.error(CommonEnum.USER_IS_NULL);
}
//用户ID
String userId = userInfo.getUserId();
//判断下上传的文件是否为空
if (ObjectUtil.isEmpty(bo)) {
return ResultBody.error(CommonEnum.FILE_LIST_IS_NULL);
}
//拼接用户ID
bo.setUserId(userId);
// 业务实现
return putuploadService.commitUpload(bo);
}
2.这是commitUpload代码,远程调用trans服务commit接口,然后将传输状态设置一下返回。接下来重点看trans服务commit接口实现了什么。
@Override
public ResultBody commitUpload(FileUploadBo bo) {
//存进缓存的Key
String key = bo.getUserId() + ":" + bo.getFileMd5();
ResultBody commitResultBody = cloudPhotoTransService.commit(bo);
if (commitResultBody.getCode().equals(CommonEnum.SUCCESS.getResultCode())) {
//成功提交 - 状态更新为传输成功
bo.setStatus(CommonConstant.FILE_UPLOAD_SUCCESS);
stringRedisTemplate.opsForValue().set(key, JSONUtil.toJsonStr(bo), 1, TimeUnit.DAYS);
} else {
//提及失败 - 状态更新为传输失败
bo.setStatus(CommonConstant.FILE_UPLOAD_FAIL);
stringRedisTemplate.opsForValue().set(key, JSONUtil.toJsonStr(bo), 1, TimeUnit.DAYS);
}
return commitResultBody;
}
3.这是trans服务commit接口,判断是否为秒传来决定调用那个方法,因为上面介绍过了秒传的返回值FileUploadBo是有StorageObjectId的,非秒传是没有的,所以根据这点很容易判断出是否为秒传。
@RequestMapping(“/commit”)
public ResultBody commit(HttpServletRequest request, HttpServletResponse response,
@RequestBody FileUploadBo bo) {
//打印请求日志
String requestId = RequestUtil.getRequestId(request);
RequestUtil.printQequestInfo(request);
//返回值
CommonEnum result;
//判断文件是否秒传,如果有StorageObjectId则说明是秒传
if (StringUtils.isBlank(bo.getStorageObjectId())) {
//处理非秒传
result = putuploadService.commit(bo);
} else {
result = putuploadService.commitTransSecond(bo);
}
log.info("getPutUploadUrl() userId =" + bo.getUserId() + ",result=" + result);
if (StringUtils.equals(result.getResultMsg(), CommonEnum.SUCCESS.getResultMsg())) {
return ResultBody.success(CommonEnum.SUCCESS.getResultMsg(), requestId);
} else {
return ResultBody.error(result.getResultCode(), result.getResultMsg(), requestId);
}
}
4.先看是非秒传调用的commit方法,这里的代码并不复杂,就是将各种信息存储到数据库里面。
/**
* 处理非妙传的
* @param bo
* @return
*/
public CommonEnum commit(FileUploadBo bo) {
//获取文件资源池储存信息
S3ObjectSummary s3ObjectSummary = S3Util.getObjectInfo(bo.getObjectId());//非秒传的必须有ObjectId
//文件未上传
if (s3ObjectSummary == null) {
return CommonEnum.FILE_NOT_UPLOADED;
}
//文件上传错误
if (!bo.getFileSize().equals(s3ObjectSummary.getSize()) || !StringUtils.equalsIgnoreCase(s3ObjectSummary.getETag(), bo.getFileMd5())) {
return CommonEnum.FILE_UPLOADED_ERROR;
}
//文件上传成功 - 文件存储信息入库
StorageObject storageObject = new StorageObject("minio", bo.getContainerId(), bo.getObjectId(), bo.getFileMd5(), bo.getFileSize());
iStorageObjectService.save(storageObject);
//文件md5入库,秒传用
FileMd5 fileMd5 = new FileMd5(bo.getFileMd5(), bo.getFileSize(), storageObject.getStorageObjectId());
iFileMd5Service.save(fileMd5);
//文件入库 - 用户文件列表 - 发送到审核、图片 kafka列表
bo.setStorageObjectId(storageObject.getStorageObjectId());
iUserFileService.saveAndFileDeal(bo);
return CommonEnum.SUCCESS;
}
5.再看commitTransSecond代码,这里只需要保存一到一个表里即可,因为秒传部分数据已经会存在数据库里面了。
/**
* 处理妙传的
* @param bo
* @return
*/
public CommonEnum commitTransSecond(FileUploadBo bo) {
//检验储存的ID是否正确
StorageObject storageObject = iStorageObjectService.getById(bo.getStorageObjectId());//秒传的必须有StorageObjectId
if (storageObject == null) {
return CommonEnum.FILE_UPLOADED_ERROR;
}
//检查秒传文件大小
if (!storageObject.getObjectSize().equals(bo.getFileSize()) || !StringUtils.equalsIgnoreCase(bo.getFileMd5(), storageObject.getMd5())) {
return CommonEnum.FILE_UPLOADED_ERROR;
}
//保存文件入库 - 用户文件列表 - 发送到审核、图片 kafka列表
boolean result = iUserFileService.saveAndFileDeal(bo);
if (result) {
return CommonEnum.SUCCESS;
} else {
return CommonEnum.FILE_UPLOADED_ERROR;
}
}
6.秒传和秒传都调用了saveAndFileDeal方法,我们看一下它的代码。除了将数据保存到数据库,这里还通过kafka发送了两条消息,这里下面将进行介绍。
@Override
public boolean saveAndFileDeal(FileUploadBo bo) {
UserFile userFile = new UserFile();
userFile.setUserId(bo.getUserId());
userFile.setFileStatus(CommonConstant.FILE_STATUS_NORMA);//文件正常
userFile.setCreateTime(LocalDateTime.now());
userFile.setFileName(bo.getFileName());
userFile.setIsFolder(CommonConstant.FILE_IS_FOLDER_NO);
userFile.setAuditStatus(CommonConstant.FILE_AUDIT_ACCESS);
userFile.setFileSize(bo.getFileSize());
userFile.setModifyTime(LocalDateTime.now());
userFile.setStorageObjectId(bo.getStorageObjectId());
userFile.setCategory(bo.getCategory());
Boolean result = this.save(userFile);
//文件审核处理
kafkaTemplate.send(CommonConstant.FILE_AUDIT_TOPIC, JSONObject.toJSONString(userFile));
//图片处理-格式分析
kafkaTemplate.send(CommonConstant.FILE_IMAGE_TOPIC, JSONObject.toJSONString(userFile));
return result;
}
### (5)消息监听
上面最后通过kafka向两个topic(FILE\_AUDIT\_TOPIC和FILE\_ IMAGE\_TOPIC)各发送了一条消息,这里就介绍这里的流程。
#### FILE\_AUDIT\_TOPIC
这部分是有关文件审核处理的
AuditConsumer 用于消费file\_audit\_topic里面的消息,上面往file\_audit\_topic发送消息后,这个类监听到后获取图片的md5值,根据图片md5查询审核表之前是否有审核记录,没有审核记录的话就添加进审核列表,有审核记录并且之前已经通过的不需要再次审核,有审核记录但之前未通过的=就直接设置审核失败。
package com.cloud.photo.audit.consumer;
import cn.hutool.core.date.DateUtil;
import com.alibaba.fastjson.JSONObject;
import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.cloud.photo.audit.entity.FileAudit;
import com.cloud.photo.audit.service.IFileAuditService;
import com.cloud.photo.common.bo.StorageObjectBo;
import com.cloud.photo.common.bo.UserFileBo;
import com.cloud.photo.common.constant.CommonConstant;
import com.cloud.photo.common.feign.CloudPhotoTransService;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.kafka.annotation.KafkaListener;
import org.springframework.stereotype.Component;
import java.time.LocalDateTime;
import java.util.ArrayList;
import java.util.List;
@Component
public class AuditConsumer {
@Autowired
IFileAuditService iFileAuditService;
@Autowired
CloudPhotoTransService cloudPhotoTransService;
// 消费监听
@KafkaListener(topics = {"file_audit_topic"})
public void onMessage(ConsumerRecord<String, Object> record){
// 消费的哪个topic、partition的消息,打印出消息内容
System.out.println("消费:"+record.topic()+"-"+record.partition()+"-"+record.value());
Object value = record.value();
JSONObject jsonObject = JSONObject.parseObject(value.toString());
String userFileId = jsonObject.getString("userFileId");
String fileName = jsonObject.getString("fileName");
Integer fileSize = jsonObject.getInteger("fileSize");
String storageObjectId = jsonObject.getString("storageObjectId");
StorageObjectBo storageObject = cloudPhotoTransService.getStorageObjectById(storageObjectId);
String fileMd5=storageObject.getMd5();
//根据文件MD5查看之前是否有审核过相同的照片 读取审核状态 相同文件只需要审核一次
FileAudit fileAudit = iFileAuditService.getOne(new QueryWrapper<FileAudit>().eq("md5", fileMd5), false);
//之前没有审核过此照片 未人工审核 加入审核列表
if(fileAudit == null){
//未审核 插入审核列表
fileAudit=new FileAudit();
fileAudit.setAuditStatus(0);
fileAudit.setMd5(fileMd5);
fileAudit.setUserFileId(userFileId);
fileAudit.setFileName(fileName);
fileAudit.setFileSize(fileSize);
fileAudit.setCreateTime(LocalDateTime.now());
fileAudit.setStorageObjectId(storageObjectId);
iFileAuditService.save(fileAudit);
}else if(fileAudit.getAuditStatus().equals(CommonConstant.FILE_AUDIT_ACCESS)){//1
//之前已经审核过此照片 文件审核状态默认为已通过审核 无需修改文件状态
}else if(fileAudit.getAuditStatus().equals(CommonConstant.FILE_AUDIT_FAIL)){//2
//之前已经审核过此照片 文件审核状态默认为未通过 审核失败 更新文件审核状态
UserFileBo userFileBo=new UserFileBo();
userFileBo.setUserFileId(userFileId);
userFileBo.setAuditStatus(CommonConstant.FILE_AUDIT_FAIL);
List<UserFileBo> userFileBoList=new ArrayList<>();
userFileBoList.add(userFileBo);
cloudPhotoTransService.updateUserFile(userFileBoList);
}
}
}
#### FILE\_ IMAGE\_TOPIC
这部分是有关图片处理,格式分析的
ImageConsumer 用于消费file\_image\_topic里面的消息,接收到消息调用iFileResizeIconService里的imageThumbnailAndMediaInfo方法。我们重点看它里面的代码。
package com.cloud.photo.image.consumer;
import com.alibaba.fastjson.JSONObject;
import com.cloud.photo.image.service.IFileResizeIconService;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.kafka.annotation.KafkaListener;
import org.springframework.stereotype.Component;
@Component
public class ImageConsumer {
@Autowired
IFileResizeIconService iFileResizeIconService;
// 消费监听
@KafkaListener(topics = {"file_image_topic"})
public void onMessage1(ConsumerRecord<String, Object> record){
// 消费的哪个topic、partition的消息,打印出消息内容
System.out.println("消费:"+record.topic()+"-"+record.partition()+"-"+record.value());
Object value = record.value();
JSONObject jsonObject = JSONObject.parseObject(value.toString());
String userFileId = jsonObject.getString("userFileId");
String storageObjectId = jsonObject.getString("storageObjectId");
String fileName = jsonObject.getString("fileName");
iFileResizeIconService.imageThumbnailAndMediaInfo(storageObjectId,fileName);
}
}
这是iFileResizeIconService代码,主要用于生成图片的缩略图,这里是核心。上面先调用了里面的imageThumbnailAndMediaInfo方法,这个方法首先根据图片存储id来查询是否有200\*200和600\*600尺寸的缩略图,然后再查询这张图片是否已经分析过格式。 若都满足则可以结束,缩略图不存在的话则需要先把原图下载。调用这个类中的downloadImage方法,里面的DownloadFileUtil会先将原图下载在本地定义好的地址。然后就可以调用imageThumbnailSave方法来根据下载下来的原图生成缩略图,里面还包括了上传到Minio和数据库,其中缩略图的生成需要用到VipsUtil这个工具类。最后还要用PicUtils这个工具类来对图片格式分析后保存到数据库。
package com.cloud.photo.image.service.impl;
import cn.hutool.core.date.DateUtil;
import com.alibaba.fastjson.JSONObject;
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.cloud.photo.common.bo.StorageObjectBo;
import com.cloud.photo.common.bo.UserFileBo;
import com.cloud.photo.common.common.ResultBody;
import com.cloud.photo.common.constant.CommonConstant;
import com.cloud.photo.common.feign.CloudPhotoTransService;
import com.cloud.photo.image.entity.FileResizeIcon;
import com.cloud.photo.image.entity.MediaInfo;
import com.cloud.photo.image.mapper.FileResizeIconMapper;
import com.cloud.photo.image.service.IFileResizeIconService;
import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
import com.cloud.photo.image.service.IMediaInfoService;
import com.cloud.photo.image.util.DownloadFileUtil;
import com.cloud.photo.image.util.PicUtils;
import com.cloud.photo.image.util.UploadFileUtil;
import com.cloud.photo.image.util.VipsUtil;
import org.apache.commons.lang.StringUtils;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.util.ResourceUtils;
import java.io.File;
import java.io.FileNotFoundException;
import java.util.HashMap;
import java.util.UUID;
/**
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图片缩略图 服务实现类
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@author wfc
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@since 2023-07-13
*/
@Service
public class FileResizeIconServiceImpl extends ServiceImpl<FileResizeIconMapper, FileResizeIcon> implements IFileResizeIconService {@Autowired
CloudPhotoTransService cloudPhotoTransService;
@Autowired
IMediaInfoService iMediaInfoService;@Override
public String getIconUrl(String userId, String fileId, String iconCode) {//查询文件信息 UserFileBo userFile=cloudPhotoTransService.getUserFileById(fileId); String storangeObject=userFile.getStorageObjectId(); String fileName=userFile.getFileName(); String suffixName=fileName.substring(fileName.lastIndexOf(".")+1,fileName.length()); //获取文件存储信息 StorageObjectBo storageObjectBo=cloudPhotoTransService.getStorageObjectById(storangeObject); //查询缩略图信息 FileResizeIcon fileResizeIcon=getFileResizeIcon(userFile.getStorageObjectId(),iconCode); String objectId; String containerId; //缩略图不存在 生成缩略图 if(fileResizeIcon==null){ //获取原图,传递给libvips的原文件的地址 String srcFileName=downloadImage(storageObjectBo.getContainerId(),storageObjectBo.getObjectId(),suffixName); if(StringUtils.isBlank(srcFileName)){ return null; } //先生成一张缩略图,通过libvips工具,然后用http请求访问srcFileName,并上传一个文件体 FileResizeIcon newFileResizeIcon=this.imageThumbnailSave(iconCode,suffixName,srcFileName,storangeObject,fileName); if(newFileResizeIcon==null){ return null; } objectId= newFileResizeIcon.getObjectId(); containerId= newFileResizeIcon.getContainerId(); }else { objectId=fileResizeIcon.getObjectId(); containerId=fileResizeIcon.getContainerId(); } //生成缩略图下载地址 ResultBody iconUrlResponse=cloudPhotoTransService.getDownloadUrl(containerId,objectId); return iconUrlResponse.getData().toString();
}
/**
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图片处理 1、生成 200_200、600_600尺寸缩略图 2、分析图片格式 宽高等信息
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@param storageObjectId
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@param fileName
*/
@Override
public void imageThumbnailAndMediaInfo(String storageObjectId, String fileName) {
String iconCode200 = “200_200”;
String iconCode600 = “600_600”;//查询尺寸200和尺寸600缩略图 是否存在 - 同一张缩略图无需重复生成
FileResizeIcon fileResizeIcon200 = getFileResizeIcon(storageObjectId,iconCode200);
FileResizeIcon fileResizeIcon600 = getFileResizeIcon(storageObjectId,iconCode600);//查询图片是否分析属性
MediaInfo mediaInfo = iMediaInfoService.getOne(new QueryWrapper().eq(“storage_Object_Id”, storageObjectId) ,false);//缩略图已存在&图片已分析
if(fileResizeIcon200!=null && fileResizeIcon600 !=null && mediaInfo!=null){
return ;
}//缩略图不存在-下载原图
String suffixName = fileName.substring(fileName.lastIndexOf(“.”)+1,fileName.length());
StorageObjectBo storageObject = cloudPhotoTransService.getStorageObjectById(storageObjectId);
String srcFileName = downloadImage(storageObject.getContainerId(), storageObject.getObjectId(), suffixName);//原图下载失败
if(StringUtils.isBlank(srcFileName)){
log.error(“downloadResult error!”);
return;
}//生成缩略图 保存入库
if(fileResizeIcon200==null){
this.imageThumbnailSave(iconCode200,suffixName,srcFileName,storageObjectId,fileName);
}if(fileResizeIcon600==null){
this.imageThumbnailSave(iconCode600,suffixName,srcFileName,storageObjectId,fileName);
}//图片格式分析&入库
MediaInfo mediaInfo1=PicUtils.analyzePicture(new File(srcFileName));
mediaInfo1.setStorageObjectId(storageObjectId);
if(StringUtils.isBlank(mediaInfo1.getShootingTime())){
mediaInfo1.setShootingTime(DateUtil.now());
}
iMediaInfoService.save(mediaInfo1);
}
public FileResizeIcon getFileResizeIcon(String storageObjectId, String iconCode) {
//1.设置查询Mapper QueryWrapper<FileResizeIcon> qw = new QueryWrapper<>(); //2.组装查询条件 HashMap<String, Object> param = new HashMap<>(); param.put("storage_object_id",storageObjectId); param.put("icon_code",iconCode); qw.allEq(param); return this.getOne(qw,false);
}
private String downloadImage(String containerId, String objectId, String suffixName) {
//获取下载地址
String srcFileDirName = “D:\cloudiconphoto\img\”;
ResultBody baseResponse = cloudPhotoTransService.getDownloadUrl(containerId,objectId);
String url = baseResponse.getData().toString();String srcFileName = srcFileDirName + UUID.randomUUID().toString() +"." +suffixName; File dir = new File(srcFileDirName); if (!dir.exists()) { dir.mkdirs(); } Boolean downloadResult = DownloadFileUtil.downloadFile(url, srcFileName); if(!downloadResult){ return null; } return srcFileName;
}
//先生成缩略图到本机,再把缩略图上传到minio中
private FileResizeIcon imageThumbnailSave(String iconCode,String suffixName,String srcFileName,
String storageObjectId,String fileName) {//文件路径 String srcFileDirName = "D:\\cloudiconphoto\\img\\"; //生成缩略图 String iconFileName = srcFileDirName + UUID.randomUUID().toString()+"." + suffixName; int width = Integer.parseInt(iconCode.split("_")[0]); int height = Integer.parseInt(iconCode.split("_")[1]); VipsUtil.thumbnail(srcFileName,iconFileName,width,height,"70"); //文件为空或者截图失败 if(StringUtils.isBlank(iconFileName) || !new File(iconFileName).exists()){ return null; } //上传缩略图 & 入库,生成了一个缩略图的图片,为上传做准备 FileResizeIcon fileResizeIcon = this.uploadIcon(null,storageObjectId ,iconCode, new File(iconFileName),fileName); return fileResizeIcon;
}
private FileResizeIcon uploadIcon(String userId,String storageObjectId ,String iconCode, File iconFile,String fileName) {
//上传缩略图
//获得了上传地址
ResultBody uploadUrlResponse = cloudPhotoTransService.getPutUploadUrl(userId,null,null,fileName);
JSONObject jsonObject =JSONObject.parseObject(uploadUrlResponse.getData().toString());
String objectId = jsonObject.getString(“objectId”);
String uploadUrl = jsonObject.getString(“url”);
String containerId= jsonObject.getString(“containerId”);//上传文件到存储池 UploadFileUtil.uploadSinglePart(iconFile,uploadUrl); //保存入库 FileResizeIcon newFileResizeIcon = new FileResizeIcon(storageObjectId ,iconCode ,containerId,objectId); this.save(newFileResizeIcon); return newFileResizeIcon;
}
public String getAuditFailIconUrl() {
//查询默认图是否存在存储池 不存在 上传到存储池 String iconStorageObjectId = CommonConstant.ICON_STORAGE_OBJECT_ID; StorageObjectBo iconStorageObject = cloudPhotoTransService.getStorageObjectById(iconStorageObjectId); String containerId = ""; String objectId = ""; String srcFileName = ""; if(iconStorageObject == null){ File file = null; try { file = ResourceUtils.getFile("classpath:static/auditFail.jpg"); } catch (FileNotFoundException e) { e.printStackTrace(); } FileResizeIcon newFileResizeIcon = this.uploadIcon(null,iconStorageObjectId ,"200_200", file,"auditFail.jpg"); containerId = newFileResizeIcon.getContainerId(); objectId = newFileResizeIcon.getObjectId(); }else{ containerId = iconStorageObject.getContainerId(); objectId = iconStorageObject.getObjectId(); } //生成缩略图下载地址 ResultBody iconUrlResponse = cloudPhotoTransService.getDownloadUrl(containerId,objectId); return iconUrlResponse.getData().toString();
}
} -
DownloadFileUtil代码
package com.cloud.photo.image.util;
import lombok.extern.slf4j.Slf4j;
import org.apache.http.HttpResponse;
import org.apache.http.HttpStatus;
import org.apache.http.HttpVersion;
import org.apache.http.client.ClientProtocolException;
import org.apache.http.client.HttpClient;
import org.apache.http.client.methods.HttpGet;
import org.apache.http.impl.client.DefaultHttpClient;
import org.apache.http.impl.client.DefaultHttpRequestRetryHandler;
import org.apache.http.params.CoreProtocolPNames;
import org.apache.http.params.HttpConnectionParams;
import java.io.*;
@Slf4j
public class DownloadFileUtil {
//下载原图
public static Boolean downloadFile(String url, String fileName) {
Boolean result = false;
log.info("downloadFile() - fileName=" + fileName + ", url=" + url);
BufferedOutputStream bos = null;
FileOutputStream fileOutputStream = null;
try {
fileOutputStream = new FileOutputStream(new File(fileName));
bos = new BufferedOutputStream(fileOutputStream);
} catch (Exception e) {
log.warn("downloadFile() - fileName=" + fileName + ", url=" + url + ", FileOutputStream error. ");
return result;
}
HttpClient client = getHttpClient();
最后总结
搞定算法,面试字节再不怕,有需要文章中分享的这些二叉树、链表、字符串、栈和队列等等各大面试高频知识点及解析
最后再分享一份终极手撕架构的大礼包(学习笔记):分布式+微服务+开源框架+性能优化
.client.DefaultHttpRequestRetryHandler;
import org.apache.http.params.CoreProtocolPNames;
import org.apache.http.params.HttpConnectionParams;
import java.io.*;
@Slf4j
public class DownloadFileUtil {
//下载原图
public static Boolean downloadFile(String url, String fileName) {
Boolean result = false;
log.info("downloadFile() - fileName=" + fileName + ", url=" + url);
BufferedOutputStream bos = null;
FileOutputStream fileOutputStream = null;
try {
fileOutputStream = new FileOutputStream(new File(fileName));
bos = new BufferedOutputStream(fileOutputStream);
} catch (Exception e) {
log.warn("downloadFile() - fileName=" + fileName + ", url=" + url + ", FileOutputStream error. ");
return result;
}
HttpClient client = getHttpClient();
最后总结
搞定算法,面试字节再不怕,有需要文章中分享的这些二叉树、链表、字符串、栈和队列等等各大面试高频知识点及解析
最后再分享一份终极手撕架构的大礼包(学习笔记):分布式+微服务+开源框架+性能优化
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