admin/vlv-ai-analytic-center
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

提交验证kafka方法

Browse Source
This commit is contained in:
zren25
2025-03-31 21:09:55 +08:00
parent a69a3757eb
commit a21aa10251
13 changed files with 230 additions and 70 deletions
Download Patch File Download Diff File Expand all files Collapse all files

104
ai-analytic-center-biz/src/main/java/com/volvo/ai/analytic/center/job/CorpusFailJob.java
View File

@@ -4,6 +4,7 @@ import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONObject;
import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
import com.volvo.ai.analytic.center.dto.PageDto;
import com.volvo.ai.analytic.center.dto.corpus.AicorpusTelephoneDTO;
import com.volvo.ai.analytic.center.dto.corpus.CorpusReportDTO;
import com.volvo.ai.analytic.center.dto.req.DiFyReq;
import com.volvo.ai.analytic.center.entity.AiAnalysisErrors;
@@ -11,6 +12,7 @@ import com.volvo.ai.analytic.center.entity.AiAnalysisRequestLogs;
import com.volvo.ai.analytic.center.enums.BusinessTypeEnum;
import com.volvo.ai.analytic.center.enums.CategoryEnum;
import com.volvo.ai.analytic.center.mapper.AiAnalysisRequestLogsMapper;
import com.volvo.ai.analytic.center.mapper.TmTelephoneCorpusMapper;
import com.volvo.ai.analytic.center.service.AiAnalysisErrorsService;
import com.volvo.ai.analytic.center.service.AiAnalysisRequestLogsService;
import com.volvo.ai.analytic.center.service.DiFyService;
@@ -20,14 +22,18 @@ import com.xxl.job.core.handler.annotation.XxlJob;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.collections.CollectionUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.rocketmq.client.producer.SendCallback;
import org.apache.rocketmq.client.producer.SendResult;
import org.apache.rocketmq.spring.core.RocketMQTemplate;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.messaging.support.MessageBuilder;
import org.springframework.stereotype.Component;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RestController;
import javax.annotation.Resource;
import java.util.Arrays;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
@@ -59,6 +65,13 @@ public class CorpusFailJob {
@Autowired
private TmTelephoneCorpusService tmTelephoneCorpusService;
@Value("${rocketmq.producer.corpus.dcctopic}")
private String dccMqTipic;
@Autowired
private TmTelephoneCorpusMapper tmTelephoneCorpusMapper;
/**
* 企微语料处理
*/
@@ -66,7 +79,7 @@ public class CorpusFailJob {
@PostMapping("corpusFailTask")
public void corpusFailTask() {
log.info("语料解析失败重试处理");
log.info(" 解析失败重试处理");
Integer total = aiAnalysisErrorsService.queryCountAnalysisErrorList(BusinessTypeEnum.SMART_ASSISTANT.getCode());
log.info("语料解析失败重试处理数据量：{}", total);
int totalPages = PageDto.getTotalPages(total, pageSize);
@@ -88,45 +101,64 @@ public class CorpusFailJob {
if (null != oldAiAnalysisRequestLogs) {
DiFyReq diFyReq = JSONObject.parseObject(oldAiAnalysisRequestLogs.getDifyRequest(), DiFyReq.class);
CorpusReportDTO corpusReportDTO = JSONObject.parseObject(oldAiAnalysisRequestLogs.getBusinessRequest(), CorpusReportDTO.class);
Map<String, String> ltoMap = new HashMap<>();
ltoMap.put("analysisRecordId", oldAiAnalysisRequestLogs.getAiAnalysisRequestId());
ltoMap.put("analysisScene", corpusReportDTO.getAnalysisScene() + "");
String tag = "";
if (null != corpusReportDTO && corpusReportDTO.getAnalysisScene() == 1) { //企微
ltoMap.put("unionId", corpusReportDTO.getUnionId());
ltoMap.put("consultantId", corpusReportDTO.getUserId());
tag = CategoryEnum.ENTERPRISE_WECHAT.getCode();
JSONObject execDifyFlow = diFyService.executeDifyFlow(diFyReq);
log.info(" corpusFailTask runDify execDifyFlow {}", execDifyFlow);
if (null != execDifyFlow && execDifyFlow.get("status").equals("succeeded")) {
String text = execDifyFlow.getJSONObject("outputs").getString("text");
String resultStrOne = FlowResultSplitUtil.flowOutputTextSplit(text, "任务1", "任务2");
String resultStrTwo = FlowResultSplitUtil.flowOutputTextSplit(text, "任务2", null);
if (StringUtils.isBlank(resultStrOne) || StringUtils.isBlank(resultStrTwo)) {
log.info(" corpusFailTask 企微语料解析为空，text:{}", text);
return;
}
Map<String, String> ltoMap = new HashMap<>();
ltoMap.put("analysisRecordId", oldAiAnalysisRequestLogs.getAiAnalysisRequestId());
ltoMap.put("analysisScene", corpusReportDTO.getAnalysisScene() + "");
String tag = "";
if (null != corpusReportDTO && corpusReportDTO.getAnalysisScene() == 1) { //企微
ltoMap.put("unionId", corpusReportDTO.getUnionId());
ltoMap.put("consultantId", corpusReportDTO.getUserId());
tag = CategoryEnum.ENTERPRISE_WECHAT.getCode();
} else {
ltoMap.put("recordId", corpusReportDTO.getUserId());
tag = CategoryEnum.PHONE_VOICE.getCode();
}
JSONObject execDifyFlow = diFyService.executeDifyFlow(diFyReq);
log.info(" corpusFailTask runDify execDifyFlow {}", execDifyFlow);
if (null != execDifyFlow && execDifyFlow.get("status").equals("succeeded")) {
String text = execDifyFlow.getJSONObject("outputs").getString("text");
String resultStrOne = FlowResultSplitUtil.flowOutputTextSplit(text, "任务1", "任务2");
String resultStrTwo = FlowResultSplitUtil.flowOutputTextSplit(text, "任务2", null);
if (StringUtils.isBlank(resultStrOne) || StringUtils.isBlank(resultStrTwo)) {
log.info(" corpusFailTask 企微语料解析为空，text:{}", text);
return;
}
ltoMap.put("communicateDate", corpusReportDTO.getCorpusTime());
ltoMap.put("analysisResult", resultStrOne.replace("#", ""));
ltoMap.put("analysisDetail", resultStrTwo);
// 发送MQ
log.info("corpusFailTask send mq {}", ltoMap);
tmTelephoneCorpusService.sendMq(tag, JSONObject.toJSONString(ltoMap));
// 保存报告
oldAiAnalysisRequestLogs.setBusinessResponse(JSONObject.toJSONString(ltoMap));
ltoMap.put("communicateDate", corpusReportDTO.getCorpusTime());
ltoMap.put("analysisResult", resultStrOne.replace("#", ""));
ltoMap.put("analysisDetail", resultStrTwo);
// 发送MQ
log.info("corpusFailTask send mq {}", ltoMap);
tmTelephoneCorpusService.sendMq(tag, JSONObject.toJSONString(ltoMap));
// 保存报告
oldAiAnalysisRequestLogs.setBusinessResponse(JSONObject.toJSONString(ltoMap));
oldAiAnalysisRequestLogs.setDifyResponse(JSON.toJSONString(execDifyFlow));
updateDiFyRequest(oldAiAnalysisRequestLogs, oldAiAnalysisRequestLogs.getAiAnalysisRequestId());
aiAnalysisErrors.setRetryCount(aiAnalysisErrors.getRetryCount() + 1);
aiAnalysisErrors.setAiAnalysisErrorHandlingStatus("1");
updateAiAnalysisErrors(aiAnalysisErrors, oldAiAnalysisRequestLogs.getAiAnalysisRequestId());
}
oldAiAnalysisRequestLogs.setDifyResponse(JSON.toJSONString(execDifyFlow));
updateDiFyRequest(oldAiAnalysisRequestLogs, oldAiAnalysisRequestLogs.getAiAnalysisRequestId());
aiAnalysisErrors.setRetryCount(aiAnalysisErrors.getRetryCount() + 1);
aiAnalysisErrors.setAiAnalysisErrorHandlingStatus("1");
updateAiAnalysisErrors(aiAnalysisErrors, oldAiAnalysisRequestLogs.getAiAnalysisRequestId());
} else {
List<AicorpusTelephoneDTO> dccDtoList = tmTelephoneCorpusMapper.queryTelephoneCorpusBySourceIds( Arrays.asList(corpusReportDTO.getRecordId()));
if(CollectionUtils.isNotEmpty(dccDtoList)){
AicorpusTelephoneDTO dccDto = dccDtoList.get(0);
dccDto.setAiAnalysisRequestId(oldAiAnalysisRequestLogs.getAiAnalysisRequestId());
String message = JSONObject.toJSONString(dccDto);
rocketMqTemplate.asyncSend(dccMqTipic, MessageBuilder.withPayload(message).build(),
new SendCallback() {
@Override
public void onSuccess(SendResult sendResult) {
log.info("dcc 失败补偿 发送MQ成功 消息体:{}", message);
}
@Override
public void onException(Throwable e) {
log.error("dcc 失败补偿 送MQ异常 消息体:{}, 异常：", message, e);
}
}, 10000);
}
}
}
} catch (Exception e) {
log.info("语料解析失败补偿异常：{}", e);

3
ai-analytic-center-biz/src/main/java/com/volvo/ai/analytic/center/mapper/AiAnalysisRequestLogsMapper.java
View File

@@ -3,7 +3,10 @@ package com.volvo.ai.analytic.center.mapper;
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
import com.volvo.ai.analytic.center.entity.AiAnalysisRequestLogs;
import org.apache.ibatis.annotations.Mapper;
import org.apache.ibatis.annotations.Param;
@Mapper
public interface AiAnalysisRequestLogsMapper extends BaseMapper<AiAnalysisRequestLogs> {
public AiAnalysisRequestLogs queryAiAnalysisRequestLogsByBusinessReponse(@Param("sourceId") String sourceId);
}

26
ai-analytic-center-biz/src/main/java/com/volvo/ai/analytic/center/mq/CorpusDccMqConsumer.java
View File

@@ -5,12 +5,16 @@ import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.volvo.ai.analytic.center.dto.corpus.AicorpusTelephoneDTO;
import com.volvo.ai.analytic.center.dto.corpus.DisplayDTO;
import com.volvo.ai.analytic.center.entity.AiAnalysisRequestLogs;
import com.volvo.ai.analytic.center.service.AiAnalysisRequestLogsService;
import com.volvo.ai.analytic.center.service.TmTelephoneCorpusService;
import lombok.extern.slf4j.Slf4j;
import org.apache.rocketmq.common.message.MessageExt;
import org.apache.rocketmq.spring.annotation.RocketMQMessageListener;
import org.apache.rocketmq.spring.core.RocketMQListener;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.cloud.context.config.annotation.RefreshScope;
import org.springframework.stereotype.Component;
import org.springframework.web.bind.annotation.RestController;
@@ -24,6 +28,7 @@ import org.springframework.web.bind.annotation.RestController;
@Slf4j
@Component
@RefreshScope
@RestController
@RocketMQMessageListener(consumerGroup = "${rocketmq.consumer.corpus.dcctopicgroup}",
topic = "${rocketmq.consumer.corpus.dcctopic}",
@@ -35,6 +40,13 @@ public class CorpusDccMqConsumer implements RocketMQListener<MessageExt> {
@Autowired
private TmTelephoneCorpusService tmTelephoneCorpusService;
@Autowired
private AiAnalysisRequestLogsService aiAnalysisRequestLogsService;
@Value("${dify.corpus.checkDccRepeat}")
private String checkDccRepeat;
private final ObjectMapper objectMapper = new ObjectMapper();
@Override
@@ -45,10 +57,16 @@ public class CorpusDccMqConsumer implements RocketMQListener<MessageExt> {
String message = new String(messageExt.getBody());
log.info("dcc_mq message: " + message);
AicorpusTelephoneDTO aicorpusTelephone = objectMapper.readValue(message, AicorpusTelephoneDTO.class);
DisplayDTO display = objectMapper.readValue(aicorpusTelephone.getDisplay(), DisplayDTO.class);
log.info("corpusDccMqProducer display getSegments: {}", display.getSegments());
tmTelephoneCorpusService.runTelephoneCorpusDify(aicorpusTelephone);
log.info("corpusDccMqProducer mq 处理完成: {}", aicorpusTelephone.getSourceId());
AiAnalysisRequestLogs aiAnalysisRequestLogs = null;
if(checkDccRepeat.equals("true")){
aiAnalysisRequestLogs = aiAnalysisRequestLogsService.queryAiAnalysisRequestLogsByBusinessReponse(aicorpusTelephone.getSourceId());
log.info("corpusDccMqProducer 消费校验是否已经发送: {}", aiAnalysisRequestLogs);
}
if(null == aiAnalysisRequestLogs){
tmTelephoneCorpusService.runTelephoneCorpusDify(aicorpusTelephone);
log.info("corpusDccMqProducer mq 处理完成: {}", aicorpusTelephone.getSourceId());
}
log.info("dcc_mq 处理完成，耗时：{}", System.currentTimeMillis() - startTime);
} catch (JsonProcessingException e) {
log.info(" dcc mq 处理失败：{}", e.getMessage());

57
ai-analytic-center-biz/src/main/java/com/volvo/ai/analytic/center/mq/CorpusProcessKafkaProducer.java
View File

@@ -9,6 +9,7 @@ import com.volvo.ai.analytic.center.entity.TmTelephoneCorpus;
import com.volvo.ai.analytic.center.service.TmTelephoneCorpusService;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.collections.CollectionUtils;
import org.apache.kafka.clients.consumer.OffsetAndTimestamp;
import org.apache.rocketmq.client.producer.SendCallback;
import org.apache.rocketmq.client.producer.SendResult;
import org.apache.rocketmq.spring.core.RocketMQTemplate;
@@ -17,16 +18,17 @@ import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.cloud.context.config.annotation.RefreshScope;
import org.springframework.kafka.annotation.KafkaListener;
import org.springframework.kafka.annotation.PartitionOffset;
import org.springframework.kafka.annotation.TopicPartition;
import org.springframework.kafka.listener.ConsumerSeekAware;
import org.springframework.messaging.support.MessageBuilder;
import org.springframework.stereotype.Component;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RestController;
import javax.annotation.Resource;
import java.time.LocalDateTime;
import java.util.Collections;
import java.util.List;
import java.util.Map;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
@@ -42,7 +44,7 @@ import java.util.concurrent.Executors;
@Component
@RestController
@RefreshScope
public class CorpusProcessKafkaProducer {
public class CorpusProcessKafkaProducer implements ConsumerSeekAware {
@Autowired
private TmTelephoneCorpusService tmTelephoneCorpusService;
@@ -55,28 +57,29 @@ public class CorpusProcessKafkaProducer {
@Resource
private RocketMQTemplate rocketMqTemplate;
@PostMapping("corpusProcessKafkaConsumer")
@KafkaListener(
topicPartitions = @TopicPartition(
topic = "${spring.kafka.topic}",
partitions = {"0", "1","2", "3","4", "5","6", "7","8", "9", "10", "11"},
partitionOffsets = {
@PartitionOffset(partition = "0", initialOffset = "2792520"),
@PartitionOffset(partition = "1", initialOffset = "2596153"),
@PartitionOffset(partition = "2", initialOffset = "2536889"),
@PartitionOffset(partition = "3", initialOffset = "2782173"),
@PartitionOffset(partition = "4", initialOffset = "2616677"),
@PartitionOffset(partition = "5", initialOffset = "2529585"),
@PartitionOffset(partition = "6", initialOffset = "2761950"),
@PartitionOffset(partition = "7", initialOffset = "2581957"),
@PartitionOffset(partition = "8", initialOffset = "2530225"),
@PartitionOffset(partition = "9", initialOffset = "2803179"),
@PartitionOffset(partition = "10", initialOffset = "2599129"),
@PartitionOffset(partition = "11", initialOffset = "2546277")
}
),
groupId = "${spring.kafka.group}"
)
// @PostMapping("corpusProcessKafkaConsumer")
// @KafkaListener(
// topicPartitions = @TopicPartition(
// topic = "${spring.kafka.topic}",
// partitions = {"0", "1","2", "3","4", "5","6", "7","8", "9", "10", "11"},
// partitionOffsets = {
// @PartitionOffset(partition = "0", initialOffset = "2792520"),
// @PartitionOffset(partition = "1", initialOffset = "2596153"),
// @PartitionOffset(partition = "2", initialOffset = "2536889"),
// @PartitionOffset(partition = "3", initialOffset = "2782173"),
// @PartitionOffset(partition = "4", initialOffset = "2616677"),
// @PartitionOffset(partition = "5", initialOffset = "2529585"),
// @PartitionOffset(partition = "6", initialOffset = "2761950"),
// @PartitionOffset(partition = "7", initialOffset = "2581957"),
// @PartitionOffset(partition = "8", initialOffset = "2530225"),
// @PartitionOffset(partition = "9", initialOffset = "2803179"),
// @PartitionOffset(partition = "10", initialOffset = "2599129"),
// @PartitionOffset(partition = "11", initialOffset = "2546277")
// }
// ),
// groupId = "${spring.kafka.group}"
// )
@KafkaListener(topics = "${spring.kafka.topic}", groupId = "${spring.kafka.group}")
public void listen(List<String> recordMessages) {
long startTime = System.currentTimeMillis();
try {
@@ -136,5 +139,9 @@ public class CorpusProcessKafkaProducer {
log.error("CorpusProcessKafkaProducer 电话语料 解析JSON出错: {}" , e.getMessage());
}
}
}

69
ai-analytic-center-biz/src/main/java/com/volvo/ai/analytic/center/mq/TestKafkaListener.java Normal file
View File

@@ -0,0 +1,69 @@
package com.volvo.ai.analytic.center.mq;
import org.apache.kafka.clients.consumer.*;
import org.apache.kafka.common.PartitionInfo;
import org.apache.kafka.common.TopicPartition;
import org.apache.kafka.common.serialization.StringDeserializer;
import org.apache.rocketmq.spring.core.RocketMQTemplate;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.cloud.context.config.annotation.RefreshScope;
import org.springframework.stereotype.Component;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RestController;
import javax.annotation.Resource;
import java.time.Duration;
import java.util.List;
import java.util.Map;
import java.util.Properties;
import java.util.stream.Collectors;
@Component
@RestController
@RefreshScope
public class TestKafkaListener {
@Value("${spring.kafka.topic}")
private String topics;
@Value("${spring.kafka.group}")
private String groupId;
@Value("${spring.kafka.bootstrap-servers}")
private String bootstrapServer;
@Resource
private RocketMQTemplate rocketMqTemplate;
@PostMapping("corpusProcessKafkaConsumer")
public void testKakfa (){
Properties props = new Properties();
props.put("bootstrap.servers", bootstrapServer);
props.put(ConsumerConfig.GROUP_ID_CONFIG, groupId);
props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "latest");
props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
KafkaConsumer<String, String> consumer = new KafkaConsumer<>(props);
List<PartitionInfo> partitions = consumer.partitionsFor(topics);
List<TopicPartition> topicPartitionList = partitions
.stream()
.map(info -> new TopicPartition(topics, info.partition()))
.collect(Collectors.toList());
consumer.assign(topicPartitionList);
Map<TopicPartition, Long> partitionTimestampMap = topicPartitionList.stream()
.collect(Collectors.toMap(tp -> tp, tp -> 1742832000000L));
Map<TopicPartition, OffsetAndTimestamp> partitionOffsetMap = consumer.offsetsForTimes(partitionTimestampMap);
partitionOffsetMap.forEach((tp, offsetAndTimestamp) -> consumer.seek(tp, offsetAndTimestamp.offset()));
boolean keepOnReading = true;
while(keepOnReading){
ConsumerRecords<String, String> records = consumer.poll(Duration.ofMillis(100));
for (ConsumerRecord<String, String> record : records){
System.out.println(" testKakfa Message received " + record.value() + ", partition " + record.partition() + ", offset=" + record.offset() + ", timestamp=" + record.timestamp());
}
}
}
}

2
ai-analytic-center-biz/src/main/java/com/volvo/ai/analytic/center/service/AiAnalysisRequestLogsService.java
View File

@@ -6,4 +6,6 @@ import com.volvo.ai.analytic.center.entity.AiAnalysisRequestLogs;
public interface AiAnalysisRequestLogsService extends IService<AiAnalysisRequestLogs> {
boolean saveAiAnalysisRequestLogs(AiAnalysisRequestLogs aiAnalysisRequestLogs);
AiAnalysisRequestLogs queryAiAnalysisRequestLogsByBusinessReponse(String sourceId);
}

2
ai-analytic-center-biz/src/main/java/com/volvo/ai/analytic/center/service/DiFyService.java
View File

@@ -8,7 +8,7 @@ public interface DiFyService {
public Object getDiFyObject(DiFyReq diFyReq);
public JSONObject executeDifyFlow(DiFyReq diFyReq, String businessType, String businessData);
public JSONObject executeDifyFlow(DiFyReq diFyReq, String businessType, String businessData, String aiAnalysisRequestId);
public JSONObject executeDifyFlow(DiFyReq diFyReq);
}

5
ai-analytic-center-biz/src/main/java/com/volvo/ai/analytic/center/service/impl/AiAnalysisRequestLogsServiceImpl.java
View File

@@ -31,4 +31,9 @@ public class AiAnalysisRequestLogsServiceImpl extends ServiceImpl<AiAnalysisRequ
return aiAnalysisRequestLogsMapper.update(aiAnalysisRequestLogs, queryWrapper) > 0;
}
}
@Override
public AiAnalysisRequestLogs queryAiAnalysisRequestLogsByBusinessReponse(String sourceId) {
return aiAnalysisRequestLogsMapper.queryAiAnalysisRequestLogsByBusinessReponse(sourceId);
}
}

5
ai-analytic-center-biz/src/main/java/com/volvo/ai/analytic/center/service/impl/DiFyServiceImpl.java
View File

@@ -11,6 +11,7 @@ import com.volvo.ai.analytic.center.service.AiAnalysisRequestLogsService;
import com.volvo.ai.analytic.center.service.DiFyService;
import com.volvo.ai.analytic.center.utils.AiAnalysisUtils;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.lang3.StringUtils;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
@@ -48,8 +49,8 @@ public class DiFyServiceImpl implements DiFyService{
}
@Override
public JSONObject executeDifyFlow(DiFyReq diFyReq, String businessType, String businessData) {
String aiAnalysisRequestId = AiAnalysisUtils.getAiAnalysisRequestId(businessType);
public JSONObject executeDifyFlow(DiFyReq diFyReq, String businessType, String businessData, String oldAiAnalysisRequestId) {
String aiAnalysisRequestId = StringUtils.isEmpty(oldAiAnalysisRequestId)? AiAnalysisUtils.getAiAnalysisRequestId(businessType):oldAiAnalysisRequestId;
try {
Map<String, Object> map = new HashMap<>();
map.put("inputs",diFyReq.getInputs());

2
ai-analytic-center-biz/src/main/java/com/volvo/ai/analytic/center/service/impl/TmOdsVdqwMessagearchivingServiceImpl.java
View File

@@ -203,7 +203,7 @@ public class TmOdsVdqwMessagearchivingServiceImpl extends ServiceImpl<TmOdsVdqwM
corpusReportDTO.setUserId(userId);
corpusReportDTO.setAnalysisScene(1l);
// 获取配置
JSONObject execDifyFlow = diFyService.executeDifyFlow(diFyImageReq, BusinessTypeEnum.SMART_ASSISTANT.getCode(), JSONObject.toJSONString(corpusReportDTO));
JSONObject execDifyFlow = diFyService.executeDifyFlow(diFyImageReq, BusinessTypeEnum.SMART_ASSISTANT.getCode(), JSONObject.toJSONString(corpusReportDTO),null);
log.info("runDify execDifyFlow {}", execDifyFlow);
if (null != execDifyFlow && execDifyFlow.get("status").equals("succeeded")) {
String text = execDifyFlow.getJSONObject("outputs").getString("text");

2
ai-analytic-center-biz/src/main/java/com/volvo/ai/analytic/center/service/impl/TmTelephoneCorpusServiceImpl.java
View File

@@ -141,7 +141,7 @@ public class TmTelephoneCorpusServiceImpl extends ServiceImpl<TmTelephoneCorpusM
corpusReportDTO.setRecordId(aicorpusTelephone.getSourceId());
corpusReportDTO.setAnalysisScene(2l);
// 获取配置
JSONObject execDifyFlow = diFyService.executeDifyFlow(diFyImageReq, BusinessTypeEnum.SMART_ASSISTANT.getCode(), JSONObject.toJSONString(corpusReportDTO));
JSONObject execDifyFlow = diFyService.executeDifyFlow(diFyImageReq, BusinessTypeEnum.SMART_ASSISTANT.getCode(), JSONObject.toJSONString(corpusReportDTO),null);
log.info("runDify execDifyFlow {}",execDifyFlow);
if(null != execDifyFlow && execDifyFlow.get("status").equals("succeeded")){

19
ai-analytic-center-biz/src/main/resources/mapper/AiAnalysisRequestLogsMapper.xml Normal file
View File

@@ -0,0 +1,19 @@
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
<mapper namespace="com.volvo.ai.analytic.center.mapper.AiAnalysisRequestLogsMapper">
<select id="queryAiAnalysisRequestLogsByBusinessReponse" resultType="com.volvo.ai.analytic.center.entity.AiAnalysisRequestLogs">
SELECT
ai_analysis_request_id as aiAnalysisRequestId,
ai_analysis_request_type as aiAnalysisRequestType,
business_response as businessResponse
FROM
tt_ai_analysis_request_logs
WHERE
ai_analysis_request_type = 'SMART_ASSISTANT'
AND business_response !='' AND business_response is not null
AND JSON_EXTRACT( CAST( business_response AS JSON ), '$.recordId' ) = #{sourceId} limit 1
</select>
</mapper>