一.阿里云图片的上传以及审核 (通过图片的URL)

上传的图片URL需要是在阿里云商存储的图片路径,并且必须携带https:// 或者 http

@Slf4j
@Data
@ConfigurationProperties(prefix = "custom-config.upload-file.oss") //扫描配置文件
@Component
public class OssFileServiceImpl implements OssFileService
{
    private String accessKey;

    private String secretKey;

    private String bucketName;

    private String endpoint;

    //设置获取client
    private IAcsClient getClient() {
        DefaultProfile profile =  DefaultProfile.getProfile("cn-shenzhen", "your_accessKey", "your_secretKey");
        DefaultProfile.addEndpoint("cn-shenzhen", "Green", "green.cn-shenzhen.aliyuncs.com"); //地区要和图片存储的地区一致
        //实例化client , 重复使用可以提高检测性能
        return new DefaultAcsClient(profile);
    }

    //将图片上传到Oss
    @Override
    public String uploadImg(byte[] base64, String fileName) {
        try {
            // 用于在OSS上命名，建议格式 ：年月日/文件名.后缀名，此时可以 以时间建立一个文件夹保存上传的图片
            SimpleDateFormat simpleDateFormat = new SimpleDateFormat("yyyy-MM-dd");
            String transformDate = simpleDateFormat.format(new Date());
            String objectName = transformDate + "/" + System.currentTimeMillis() + "_" + fileName;
            // 创建OSSClient实例。
            OSS ossClient = new OSSClientBuilder().build(endpoint, accessKey, secretKey);
            // 设置设置 HTTP 头 里边的 Content-Type
            ObjectMetadata objectMetadata = new ObjectMetadata();
//            objectMetadata.setContentType(getcontentType(fileName.substring(fileName.lastIndexOf("."))));
            objectMetadata.setContentDisposition("inline");
            // 上传文件
            ossClient.putObject(bucketName, objectName, new ByteArrayInputStream(base64) , objectMetadata);

            String url = bucketName+"."+endpoint +"/"+ objectName;
            // 关闭OSSClient
            ossClient.shutdown();
            //审核图片
            String err = checkUploadFile("https://"+url);  //图片上传完成之后,拿到在阿里云商存储的链接 , 审核上传的图片
            System.out.println(err);
            if (err.equals("block") || err.equals("error")) {
                return "error";
            }
            return url;
        } catch (Exception e) {
            // 处理异常
            log.error("上传文件异常: " + e.getMessage(), e);
            // 返回错误状态或抛出自定义异常
            return "error";
        }
    }

    //审核上传的图片
    public static String checkUploadFile(String url) {
        ImageSyncScanRequest imageSyncScanRequest = new ImageSyncScanRequest();
        //指定API返回格式
        imageSyncScanRequest.setAcceptFormat(FormatType.JSON);
        //指定请求方法
        imageSyncScanRequest.setMethod(MethodType.POST);
        imageSyncScanRequest.setEncoding("utf-8");
        //支持http 和 https
        imageSyncScanRequest.setProtocol(ProtocolType.HTTP);
        JSONObject httpBody = new JSONObject();
        /**
         * 设置要检测的风险场景
         * porn : 鉴黄
         * terrorism : 暴恐
         * ad : 广告
         * live : 不良场景
         * qrcode : 二维码
         * logo : 商标
         * 图片审核是分场景收费的 
         */
        httpBody.put("scenes" , Arrays.asList("porn","terrorism","ad","live","qrcode","logo"));
        /**
         * 设置待检测图片 , 一张图片对应一个task
         */
        JSONObject task = new JSONObject();
        task.put("dataId" , UUID.randomUUID().toString());
        //设置图片链接为上传后的URL. URL中有特殊自读,需要对URL进行encode编码
        task.put("url" , url);
        task.put("time" , new Date());
        httpBody.put("tasks" , Collections.singletonList(task));
        imageSyncScanRequest.setHttpContent(org.apache.commons.codec.binary.StringUtils.getBytesUtf8(httpBody.toJSONString()),
                "UTF-8", FormatType.JSON);
        //设置超时时间
        imageSyncScanRequest.setConnectTimeout(3000);
        imageSyncScanRequest.setReadTimeout(10000);
        HttpResponse httpResponse = null;
        IAcsClient client = new OssFileServiceImpl().getClient();
        try
        {
            httpResponse = client.doAction(imageSyncScanRequest);
        }
        catch (Exception e)
        {
            e.printStackTrace();
        }
        //服务端接收请求 , 完成处理后返回的结果
        if (httpResponse != null && httpResponse.isSuccess())
        {
            JSONObject scrResponse = JSON.parseObject(org.apache.commons.codec.binary.StringUtils.newStringUtf8(httpResponse.getHttpContent()));
            int requestCode = scrResponse.getIntValue("code");
            //每一张图片的检测结果
            JSONArray taskResults = scrResponse.getJSONArray("data");
            if (200 == requestCode)
            {
                for (Object taskResult : taskResults)
                {
                    //单张图片的处理结果
                    int taskCode = ((JSONObject) taskResult).getIntValue("code");
                    //图片对应检测场景的处理结果. 如果是多个场景 , 则会有每一个场景的检测结果
                    JSONArray sceneResults = ((JSONObject) taskResult).getJSONArray("results");
                    if (200 == taskCode)
                    {
                        for (Object sceneResult : sceneResults)
                        {
                            System.out.println("开始审核");
                            String scene = ((JSONObject) sceneResult).getString("scene");
                            String suggestion = ((JSONObject) sceneResult).getString("suggestion");
                            //根据 scene 和 suggestion 做相关处理
                            System.out.println("scene = [" + scene + "]");
                            System.out.println("suggestion = [" + suggestion + "]");
                            if ("review".equals(suggestion) || "block".equals(suggestion))
                            {
                                System.out.println("图片审核不通过");
                                //只要不是"pass" , 直接拒绝 , 删除图片
                                OssFileServiceImpl ossFileService = new OssFileServiceImpl();
                                ossFileService.deleteImg(url);
                                return "block";
                            }
                            System.out.println("图片审核成功");
                            return "pass";
                        }
                    }
                    else
                    {
                        // 单张图片处理失败，原因视具体的情况详细分析。
                        System.out.println("task process fail. task response:" + JSON.toJSONString(taskResult));
                    }
                }
            }
            else
            {
                /**
                 * 表明请求整体处理失败，原因视具体的情况详细分析。
                 */
                System.out.println("the whole image scan request failed. response:" + JSON.toJSONString(scrResponse));
            }
        }
        log.error("checkImageisFail");
        return "error";
    }
}

二.阿里云文字审核

        文字审核和图片审核相似,但是文字审核是不分场景的.

@Slf4j
@Data
@Component
public class OssTxtServiceImpl implements OssTxtService {
    private static final String region = "cn-shenzhen";

    private String accessKey;

    private String secretKey;

    //设置获取client
    private IAcsClient getClient() {
        DefaultProfile profile =  DefaultProfile.getProfile("cn-shenzhen", "your_accesskey", "your_secretkey");
        DefaultProfile.addEndpoint("cn-shenzhen", "Green", "green.cn-shenzhen.aliyuncs.com");
        //实例化client , 重复使用可以提高检测性能
        // DefaultProfile profile1 = DefaultProfile.getProfile(region, accessKeyId, accessKeySecret);
        return new DefaultAcsClient(profile);
    }
   @Override
   public List<Map<String,String>>  checkText(String text) throws UnsupportedEncodingException {
       TextScanRequest textScanRequest = new TextScanRequest();
       textScanRequest.setAcceptFormat(FormatType.JSON); // 指定API返回格式。
       textScanRequest.setHttpContentType(FormatType.JSON);
       textScanRequest.setMethod(com.aliyuncs.http.MethodType.POST); // 指定请求方法。
       textScanRequest.setEncoding("UTF-8");
       textScanRequest.setRegionId(region);
       List<Map<String, Object>> tasks = new ArrayList<Map<String, Object>>();
       Map<String, Object> task1 = new LinkedHashMap<String, Object>();
       task1.put("dataId", UUID.randomUUID().toString());
       /**
        * 待检测的文本，长度不超过10000个字符。
        */
       task1.put("content", text);

       tasks.add(task1);
       JSONObject data = new JSONObject();

       /**
        * 检测场景。文本垃圾检测请传递antispam。
        **/
       data.put("scenes", Arrays.asList("antispam"));
       data.put("tasks", tasks);
       System.out.println(JSON.toJSONString(data, true));
       textScanRequest.setHttpContent(data.toJSONString().getBytes("UTF-8"), "UTF-8", FormatType.JSON);
       // 请务必设置超时时间。
       textScanRequest.setConnectTimeout(3000);
       textScanRequest.setReadTimeout(6000);
       try {
           HttpResponse httpResponse = new OssTxtServiceImpl().getClient().doAction(textScanRequest);
           if(httpResponse.isSuccess()){
               JSONObject scrResponse = JSON.parseObject(new String(httpResponse.getHttpContent(), "UTF-8"));
               System.out.println(JSON.toJSONString(scrResponse, true));
               if (200 == scrResponse.getInteger("code")) {

                   List<Map<String,String>> resultMaps = new ArrayList<>();
                   JSONArray taskResults = scrResponse.getJSONArray("data");
                   for (Object taskResult : taskResults) {
                       if(200 == ((JSONObject)taskResult).getInteger("code")){
                           JSONArray sceneResults = ((JSONObject)taskResult).getJSONArray("results");
                           for (Object sceneResult : sceneResults) {
                               String scene = ((JSONObject)sceneResult).getString("scene");
                               String suggestion = ((JSONObject)sceneResult).getString("suggestion");
                               // 根据scene和suggetion做相关处理。
                               // suggestion为pass表示未命中垃圾。suggestion为block表示命中了垃圾，可以通过label字段查看命中的垃圾分类。
                               System.out.println("args = [" + scene + "]");
                               System.out.println("args = [" + suggestion + "]");

                               Map<String, String> resultMap = new HashMap<>();
                               resultMap.put("scene",scene);
                               resultMap.put("suggestion",suggestion);
                               resultMaps.add(resultMap);
                           }
                       }else{
                           System.out.println("task process fail:" + ((JSONObject)taskResult).getInteger("code"));
                       }
                   }
                   return resultMaps;
               } else {
                   System.out.println("detect not success. code:" + scrResponse.getInteger("code"));
               }
           }else{
               System.out.println("response not success. status:" + httpResponse.getStatus());
           }
       } catch (Exception e){
           log.error("checkText is error" , e);
       }
       return null;
   }
}

        审核时传入需要审核的文字内容

 返回值的一个List<Map<String , String>> 类型的数据,可以通过下面的方式获取到返回参数,判断审核是否通过.

    //用户昵称审核
    List<Map<String , String>> result = ossTxtService.checkText("需要审核的文本内容");
     if ("block".equals(result.get(0).get("suggestion"))) {
          return "审核不通过"
     }

审核的文本内容最大字符长度是100000.