generate 代码优化
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@@ -10,6 +10,7 @@ import com.alibaba.fastjson.JSONObject;
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import com.google.gson.Gson;
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import com.rabbitmq.client.Channel;
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import lombok.extern.slf4j.Slf4j;
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import org.apache.tomcat.jni.Time;
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import org.springframework.amqp.core.Message;
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import org.springframework.amqp.rabbit.annotation.RabbitHandler;
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import org.springframework.amqp.rabbit.annotation.RabbitListener;
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@@ -41,9 +42,6 @@ public class GenerateConsumer {
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@Value("${redis.key.generateExceptionMap}")
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private String exceptionMapKey;
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@Value("${redis.key.resultMap}")
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private String resultMapKey;
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@Value("${redis.key.generateResult}")
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private String generateResultKey;
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@@ -25,7 +25,7 @@ public interface GenerateService extends IService<Generate> {
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List<GenerateDetail> selectBatchByLibraryId(List<Long> libraryId);
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GenerateCollectionVO getGenerateResult(String uniqueId);
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// GenerateCollectionVO getGenerateResult(String uniqueId);
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List<GenerateResultVO> getGenerateResultList(List<String> taskIdList);
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@@ -82,9 +82,6 @@ public class GenerateServiceImpl extends ServiceImpl<GenerateMapper, Generate> i
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@Value("${redis.key.generateExceptionMap}")
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private String exceptionMapKey;
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@Value("${redis.key.resultMap}")
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private String resultMapKey;
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@Value("${redis.key.generateResult}")
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private String generateResultKey;
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@@ -428,27 +425,9 @@ public class GenerateServiceImpl extends ServiceImpl<GenerateMapper, Generate> i
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Long elementId = generateThroughImageTextDTO.getCollectionElementId();
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validateGeneraType(new Generate(), text, elementId, generateType);
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// 2、生成唯一id 使用uuid
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// 2、生成唯一id 使用uuid,由于uuid重复的几率很小,故取消对uuid重复性的校验
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String uuid = UUID.randomUUID().toString();
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int num = 1;
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// 判断已经正常生成结果的uuid或正在排队的uuid中是否有相同的id
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while ((redisUtil.isElementExistsInMap(resultMapKey, uuid) ||
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redisUtil.isElementExistsInZSet(consumptionOrderKey, uuid))
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&& num < 10) {
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uuid = UUID.randomUUID().toString();
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num++;
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}
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// 无依据确定的数字
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if (num > 10) {
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try {
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Thread.sleep(1000);
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} catch (InterruptedException e) {
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throw new RuntimeException(e);
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}
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uuid = UUID.randomUUID().toString();
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}
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ArrayList<String> taskIdList = new ArrayList<>();
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for (int i = 1; i <= 4; i++) {
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String temp = uuid;
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@@ -480,7 +459,7 @@ public class GenerateServiceImpl extends ServiceImpl<GenerateMapper, Generate> i
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return redisUtil.getRank(consumptionOrderKey, uniqueId);
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}
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@Override
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/*@Override
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public GenerateCollectionVO getGenerateResult(String uniqueId) {
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// 1、判断该请求是否已经异常
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Boolean isMember = redisUtil.isElementExistsInMap(exceptionMapKey, uniqueId);
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@@ -529,7 +508,7 @@ public class GenerateServiceImpl extends ServiceImpl<GenerateMapper, Generate> i
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});
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return new GenerateCollectionVO(generateId, null, generatedCollectionItems);
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}
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}*/
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@Override
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public List<GenerateResultVO> getGenerateResultList(List<String> taskIdList) {
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@@ -579,7 +558,10 @@ public class GenerateServiceImpl extends ServiceImpl<GenerateMapper, Generate> i
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public void cancelGenerate(Long userId, List<String> uniqueIdList, String timeZone) {
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// todo 取消待优化
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uniqueIdList.forEach(uniqueId -> {
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// 1、确认当前消息是否还在排队中
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// 1、将需要取消的唯一id加入redis,以便及时取消生成
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redisUtil.addToSet(cancelSetKey, uniqueId);
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/*// 1、确认当前消息是否还在排队中
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Boolean exists = redisUtil.isElementExistsInZSet(consumptionOrderKey, uniqueId);
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Boolean flag = Boolean.FALSE;
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if (exists) flag = redisUtil.getRank(consumptionOrderKey, uniqueId) > 1L ? Boolean.TRUE : Boolean.FALSE;
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@@ -600,9 +582,17 @@ public class GenerateServiceImpl extends ServiceImpl<GenerateMapper, Generate> i
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// 3、直接发送取消请求到python端
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pythonService.cancelGenerateTask(uniqueId);
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}
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}
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}*/
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String key = generateResultKey + ":" + uniqueId;
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redisUtil.addToString(key, new Gson().toJson(new GenerateResultVO(uniqueId, null, null, "Cancelled")), CommonConstant.GENERATE_RESULT_EXPIRE_TIME);
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GenerateResultVO generateResultVO = new Gson().fromJson(redisUtil.getFromString(key), GenerateResultVO.class);
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// 判断当前task的状态是不是Fail
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if (!generateResultVO.getStatus().equals("Fail")){
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// 2、不是,直接发送取消请求到python端
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pythonService.cancelGenerateTask(uniqueId);
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// 3、更改result中当前taskId的状态
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redisUtil.addToString(key, new Gson().toJson(new GenerateResultVO(uniqueId, null, null, "Cancelled")), CommonConstant.GENERATE_RESULT_EXPIRE_TIME);
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}
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// 3、考虑加一张表,专门用于记录哪些用户在什么时间进行了取消操作,包括已经异常的请求
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GenerateCancel generateCancel = new GenerateCancel(userId, uniqueId, DateUtil.getByTimeZone(timeZone));
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@@ -57,9 +57,6 @@ public class SuperResolutionServiceImpl extends ServiceImpl<TaskListMapper, Task
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@Value("${redis.key.orderForSR}")
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private String orderForSR;
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@Value("${redis.key.resultMap}")
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private String resultMapKey;
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@Value("${minio.bucketName.users}")
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private String usersBucket;
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@@ -84,16 +81,8 @@ public class SuperResolutionServiceImpl extends ServiceImpl<TaskListMapper, Task
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for (SuperResolutionDTO superResolutionDTO : superResolutionDTOList) {
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// todo 校验倍率是否是2的幂次(前端已做)
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// 2、生成唯一id 使用uuid
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// 2、生成唯一id 使用uuid 由于uuid重复的几率很小很小,故这里取消验证uuid是否已存在
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String uuid = UUID.randomUUID().toString();
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int num = 1;
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// 判断已经正常生成结果的uuid或正在排队的uuid中是否有相同的id
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while ((redisUtil.isElementExistsInMap(resultMapKey, uuid) ||
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redisUtil.isElementExistsInZSet(orderForSR, uuid))
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&& num < 10) {
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uuid = UUID.randomUUID().toString();
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num++;
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}
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uuid += "-" + accountId;
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uuidList.add(uuid);
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