到ai智能工牌的录音后上传到minio并保存数据库的逻辑

src/main/java/com/rj/common/PasswordUtil.java

@@ -197,6 +197,8 @@ public class PasswordUtil {
 
 
 
+
+
 
 
 

src/main/java/com/rj/common/ServiceManager.java

@@ -181,6 +181,8 @@ public class ServiceManager {
 
 
 
+
+
 
 
 

src/main/java/com/rj/controller/SoundRecordingUploadController.java

@@ -68,10 +68,19 @@ public class SoundRecordingUploadController {
         log.info("收到录音上传请求 - deviceNo: {}, fileName: {}, chunkIndex: {}, startTime: {}, endTime: {}", 
                 deviceNo, fileName, chunkIndex, startTime, endTime);
         
+        // 记录业务层处理开始时间
+        long startTimeMillis = System.currentTimeMillis();
+        
         // 调用服务层处理业务逻辑
         SoundRecordingUploadServiceImpl.ResponseData serviceResponse = soundRecordingUploadService.uploadRecording(
                 deviceNo, deviceType, soundRecording, fileName, chunkIndex, startTime, endTime, usrNo);
         
+        // 记录业务层处理结束时间并计算耗时
+        long endTimeMillis = System.currentTimeMillis();
+        long elapsedTime = endTimeMillis - startTimeMillis;
+        double elapsedTimeSeconds = elapsedTime / 1000.0;
+        log.info("业务层处理完成 - deviceNo: {}, 耗时: {} 秒", deviceNo, String.format("%.2f", elapsedTimeSeconds));
+        
         // 转换服务层返回的结果为响应对象
         SoundRecordingUploadResponse response = new SoundRecordingUploadResponse();
         response.setCode(serviceResponse.code);

src/main/java/com/rj/controller/sys/MenuController.java

@@ -419,6 +419,8 @@ public class MenuController {
 
 
 
+
+
 
 
 

src/main/java/com/rj/controller/sys/RoleController.java

@@ -389,6 +389,8 @@ public class RoleController {
 
 
 
+
+
 
 
 

src/main/java/com/rj/controller/sys/UserRoleController.java

@@ -395,6 +395,8 @@ public class UserRoleController {
 
 
 
+
+
 
 
 

src/main/java/com/rj/dto/DifyWorkflowResponseDto.java

@@ -161,6 +161,8 @@ public class DifyWorkflowResponseDto {
 
 
 
+
+
 
 
 

src/main/java/com/rj/mapper/CustomerProfileAnalysisMapper.java

@@ -104,6 +104,8 @@ public interface CustomerProfileAnalysisMapper extends BaseMapper<CustomerProfil
 
 
 
+
+
 
 
 

src/main/java/com/rj/service/biz/ICustomerProfileAnalysisService.java

@@ -125,6 +125,8 @@ public interface ICustomerProfileAnalysisService extends IService<CustomerProfil
 
 
 
+
+
 
 
 

src/main/java/com/rj/service/biz/impl/CustomerProfileAnalysisServiceImpl.java

@@ -160,6 +160,8 @@ public class CustomerProfileAnalysisServiceImpl extends ServiceImpl<CustomerProf
 
 
 
+
+
 
 
 

src/main/java/com/rj/service/impl/CosyVoiceServiceImpl.java

@@ -0,0 +1,69 @@
+package com.rj.service.impl;
+
+import org.springframework.http.*;
+import org.springframework.stereotype.Service;
+import org.springframework.web.client.RestTemplate;
+import java.io.File;
+import java.io.FileOutputStream;
+import java.io.IOException;
+import java.util.HashMap;
+import java.util.Map;
+
+@Service
+public class CosyVoiceServiceImpl {
+
+    // Xinference集群地址和模型ID（替换为你的实际信息）
+    private static final String XINFERENCE_URL = "http://192.168.1.39:9997/v1/audio/speech";
+    private static final String MODEL_UID = "cosyvoice2-0.5b"; // 模型部署时的UID或名称
+
+    private final RestTemplate restTemplate;
+
+    // 注入RestTemplate
+    public CosyVoiceServiceImpl(RestTemplate restTemplate) {
+        this.restTemplate = restTemplate;
+    }
+
+    /**
+     * 调用CosyVoice2生成语音
+     * @param text 待转换的文本
+     * @param outputPath 音频保存路径（如"output.wav"）
+     * @return 是否成功
+     */
+    public boolean generateSpeech(String text, String outputPath) {
+        try {
+            // 1. 构造请求体
+            Map<String, Object> requestBody = new HashMap<>();
+            requestBody.put("model", MODEL_UID); // 模型ID
+            requestBody.put("input", text);      // 输入文本
+            // 可选参数：调整语音风格、语速等（根据模型支持的参数添加）
+            requestBody.put("voice", "default"); // 语音风格（默认值）
+            requestBody.put("speed", 1.0);       // 语速（1.0为正常）
+
+            // 2. 设置请求头（JSON格式）
+            HttpHeaders headers = new HttpHeaders();
+            headers.setContentType(MediaType.APPLICATION_JSON);
+
+            // 3. 发送POST请求
+            HttpEntity<Map<String, Object>> request = new HttpEntity<>(requestBody, headers);
+            ResponseEntity<byte[]> response = restTemplate.postForEntity(
+                XINFERENCE_URL,
+                request,
+                byte[].class
+            );
+
+            // 4. 处理响应（保存音频文件）
+            if (response.getStatusCode() == HttpStatus.OK) {
+                byte[] audioData = response.getBody();
+                if (audioData != null) {
+                    try (FileOutputStream fos = new FileOutputStream(new File(outputPath))) {
+                        fos.write(audioData);
+                        return true;
+                    }
+                }
+            }
+        } catch (IOException e) {
+            e.printStackTrace();
+        }
+        return false;
+    }
+}

src/main/java/com/rj/service/impl/SoundRecordingUploadServiceImpl.java

@@ -1,11 +1,20 @@
 package com.rj.service.impl;
 
+import com.rj.entity.AudioManagement;
+import com.rj.service.IAudioManagementService;
 import com.rj.service.ISoundRecordingUploadService;
+import com.rj.service.MinIOService;
 import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.stereotype.Service;
+import org.springframework.util.StringUtils;
 import org.springframework.web.multipart.MultipartFile;
 
+import java.math.BigDecimal;
 import java.time.Instant;
+import java.time.LocalDateTime;
+import java.time.format.DateTimeFormatter;
+import java.util.UUID;
 import java.util.regex.Pattern;
 
 /**
@@ -18,6 +27,12 @@ import java.util.regex.Pattern;
 @Service
 public class SoundRecordingUploadServiceImpl implements ISoundRecordingUploadService {
 
+    @Autowired
+    private MinIOService minIOService;
+
+    @Autowired
+    private IAudioManagementService audioManagementService;
+
     /**
      * 分片索引正则表达式
      * A开头：启动/运行段，如A001, A005
@@ -50,13 +65,60 @@ public class SoundRecordingUploadServiceImpl implements ISoundRecordingUploadSer
             log.info("分片信息解析 - prefix: {}, chunkNumber: {}, isLastChunk: {}, totalChunks: {}", 
                     chunkInfo.prefix, chunkInfo.chunkNumber, chunkInfo.isLastChunk, chunkInfo.totalChunks);
             
-            // TODO: 这里可以添加文件保存逻辑
+            // 上传文件到 MinIO
-            // 1. 保存文件到指定目录
+            String minioUrl;
-            // 2. 如果是分片上传，需要管理分片状态
+            try {
-            // 3. 如果是最后一片，需要合并分片或标记完成
+                minioUrl = minIOService.uploadFile(soundRecording);
+                log.info("文件上传到MinIO成功 - deviceNo: {}, fileName: {}, minioUrl: {}", deviceNo, fileName, minioUrl);
+            } catch (Exception e) {
+                log.error("文件上传到MinIO失败 - deviceNo: {}, fileName: {}, error: {}", deviceNo, fileName, e.getMessage(), e);
+                return createErrorResponse(500, 1, "文件上传失败：" + e.getMessage());
+            }
             
-            log.info("录音文件上传成功 - deviceNo: {}, fileName: {}, fileSize: {} bytes", 
+            // 转换时间格式（yyMMddHHmmss -> LocalDateTime）
-                    deviceNo, fileName, soundRecording.getSize());
+            LocalDateTime recordingStartTime = parseTimeString(startTime);
+            LocalDateTime recordingEndTime = parseTimeString(endTime);
+            
+            // 计算录音时长（分钟）
+            BigDecimal duration = calculateDuration(recordingStartTime, recordingEndTime);
+            
+            // 获取文件扩展名
+            String fileExtension = getFileExtension(fileName);
+            
+            // 创建录音管理记录
+            AudioManagement audioManagement = new AudioManagement();
+            audioManagement.setId(UUID.randomUUID().toString());
+            audioManagement.setRecordingName(fileName);
+            audioManagement.setRecordingTime(recordingStartTime);
+            audioManagement.setDuration(duration);
+            audioManagement.setAudioFileUrl(minioUrl);
+            audioManagement.setAudioFileSize(soundRecording.getSize());
+            audioManagement.setAudioFileOriginalName(fileName);
+            audioManagement.setAudioFileExtension(fileExtension);
+            audioManagement.setUploadTime(LocalDateTime.now());
+            audioManagement.setUploadStatus("已上传");
+            audioManagement.setSyncStatus("未同步");
+            audioManagement.setIsMerged(chunkInfo.isLastChunk && chunkInfo.totalChunks > 1);
+            
+            // 如果有自定义编号，可以存储到备注中
+            if (StringUtils.hasText(usrNo)) {
+                audioManagement.setRemarks("设备编号: " + usrNo + ", 设备类型: " + (deviceType != null ? deviceType : "未知"));
+            }
+            
+            // 设置创建和更新时间
+            LocalDateTime now = LocalDateTime.now();
+            audioManagement.setCreateTime(now);
+            audioManagement.setUpdateTime(now);
+            
+            // 保存到数据库
+            boolean saved = audioManagementService.save(audioManagement);
+            if (!saved) {
+                log.error("保存录音记录到数据库失败 - deviceNo: {}, fileName: {}", deviceNo, fileName);
+                return createErrorResponse(500, 1, "保存录音记录失败");
+            }
+            
+            log.info("录音文件上传成功并保存到数据库 - deviceNo: {}, fileName: {}, fileSize: {} bytes, audioId: {}", 
+                    deviceNo, fileName, soundRecording.getSize(), audioManagement.getId());
             
             // 返回成功响应
             return createSuccessResponse();
@@ -152,6 +214,62 @@ public class SoundRecordingUploadServiceImpl implements ISoundRecordingUploadSer
         return response;
     }
     
+    /**
+     * 解析时间字符串（yyMMddHHmmss -> LocalDateTime）
+     */
+    private LocalDateTime parseTimeString(String timeStr) {
+        try {
+            // 将 yy 转换为 yyyy（假设 yy < 50 表示 20xx，否则表示 19xx）
+            int year = Integer.parseInt(timeStr.substring(0, 2));
+            if (year < 50) {
+                year += 2000;
+            } else {
+                year += 1900;
+            }
+            
+            // 构造完整的日期时间字符串
+            String fullTimeStr = String.format("%04d%s", year, timeStr.substring(2));
+            DateTimeFormatter fullFormatter = DateTimeFormatter.ofPattern("yyyyMMddHHmmss");
+            return LocalDateTime.parse(fullTimeStr, fullFormatter);
+        } catch (Exception e) {
+            log.error("时间格式解析失败 - timeStr: {}, error: {}", timeStr, e.getMessage());
+            return LocalDateTime.now();
+        }
+    }
+    
+    /**
+     * 计算录音时长（分钟）
+     */
+    private BigDecimal calculateDuration(LocalDateTime startTime, LocalDateTime endTime) {
+        if (startTime == null || endTime == null) {
+            return BigDecimal.ZERO;
+        }
+        
+        long seconds = java.time.Duration.between(startTime, endTime).getSeconds();
+        if (seconds < 0) {
+            log.warn("录音结束时间早于开始时间，返回0");
+            return BigDecimal.ZERO;
+        }
+        
+        // 转换为分钟，保留2位小数
+        double minutes = seconds / 60.0;
+        return BigDecimal.valueOf(minutes).setScale(2, java.math.RoundingMode.HALF_UP);
+    }
+    
+    /**
+     * 获取文件扩展名
+     */
+    private String getFileExtension(String filename) {
+        if (!StringUtils.hasText(filename)) {
+            return "";
+        }
+        int lastDotIndex = filename.lastIndexOf('.');
+        if (lastDotIndex > 0 && lastDotIndex < filename.length() - 1) {
+            return filename.substring(lastDotIndex + 1).toLowerCase();
+        }
+        return "";
+    }
+    
     /**
      * 分片信息内部类
      */

src/main/java/com/rj/service/sys/impl/MenuServiceImpl.java

@@ -132,6 +132,8 @@ public class MenuServiceImpl extends ServiceImpl<MenuMapper, Menu> implements IM
 
 
 
+
+
 
 
 

src/main/java/com/rj/service/sys/impl/RoleServiceImpl.java

@@ -132,6 +132,8 @@ public class RoleServiceImpl extends ServiceImpl<RoleMapper, Role> implements IR
 
 
 
+
+
 
 
 

src/main/java/com/rj/service/sys/impl/UserRoleServiceImpl.java

@@ -132,6 +132,8 @@ public class UserRoleServiceImpl extends ServiceImpl<UserRoleMapper, UserRole> i
 
 
 
+
+
 
 
 

src/main/resources/application-audio.yml

@@ -141,6 +141,8 @@ spring:
 
 
 
+
+
 
 
 

src/main/resources/mapper/AudioManagementStatisticsMapper.xml

@@ -118,6 +118,8 @@
 
 
 
+
+
 
 
 

src/main/resources/static/tts-demo.html

@@ -317,6 +317,8 @@
 
 
 
+
+
 
 
 

src/test/java/com/rj/audio/SenseVoiceAsrTest.java

@@ -0,0 +1,96 @@
+package com.rj.audio;
+
+import org.springframework.core.io.ByteArrayResource;
+import org.springframework.http.*;
+import org.springframework.util.LinkedMultiValueMap;
+import org.springframework.util.MultiValueMap;
+import org.springframework.web.client.RestTemplate;
+import java.io.File;
+import java.io.FileInputStream;
+import java.io.IOException;
+import java.nio.file.Files;
+import java.nio.file.Paths;
+
+public class SenseVoiceAsrTest {
+    // Xinference集群地址（替换为你的实际地址）
+    private static final String XINFERENCE_ASR_URL = "http://101.35.52.237:19997/v1/audio/transcriptions";
+    // 已部署的SenseVoiceSmall模型名称（必须与部署时一致）
+    private static final String MODEL_NAME = "SenseVoiceSmall";
+    // 本地测试音频文件路径（需是模型支持的格式，如.wav）
+    private static final String AUDIO_FILE_PATH = "D:\\bCard\\code\\Langchain4j-rj\\output_longyingling.mp3"; // 替换为你的音频文件路径
+//    private static final String AUDIO_FILE_PATH = "http://101.35.52.237:19005/car/20251027_141728_de21b339944c4e43867afc903a511905.mp3?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=minioadmin%2F20251102%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20251102T012236Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=9ceb9ea5361da2dbf830e5c0ad68c1a0cb73573cf039148225f53457d83e1b47"; // 替换为你的音频文件路径
+
+    public static void main(String[] args) {
+        // 1. 初始化RestTemplate
+        RestTemplate restTemplate = new RestTemplate();
+
+        try {
+            // 2. 读取音频文件为字节数组
+            byte[] audioData = Files.readAllBytes(Paths.get(AUDIO_FILE_PATH));
+
+            // 3. 构造multipart/form-data请求体
+            MultiValueMap<String, Object> body = new LinkedMultiValueMap<>();
+            // 添加模型参数
+            body.add("model", MODEL_NAME);
+            // 添加音频文件（key固定为"file"，文件名可自定义）
+            body.add("file", new ByteArrayResource(audioData) {
+                @Override
+                public String getFilename() {
+                    return "output_longyingling.mp3"; // 必须指定文件名（含扩展名）
+                }
+            });
+            // 可选参数：指定语言（如中文"zh-CN"，根据模型支持添加）
+            body.add("language", "zh-CN");
+
+            // 4. 设置请求头（multipart/form-data）
+            HttpHeaders headers = new HttpHeaders();
+            headers.setContentType(MediaType.MULTIPART_FORM_DATA);
+            HttpEntity<MultiValueMap<String, Object>> request = new HttpEntity<>(body, headers);
+
+            // 5. 发送POST请求，获取转录结果
+            ResponseEntity<String> response = restTemplate.postForEntity(
+                    XINFERENCE_ASR_URL,
+                    request,
+                    String.class
+            );
+            /**
+             * {
+             *     "text": "转录文本",
+             *     "audio_duration": 13.114,      # 音频时长（秒）
+             *     "transcription_time": 0.337,   # 转录耗时（秒）
+             *     "segment_count": 1,              # 分段数
+             *     "char_count": 50                # 字数（新增）
+             * }
+             */
+            System.out.println("音频识别结果：" + response.toString());
+            // 6. 处理响应（解析JSON获取文本）
+            if (response.getStatusCode() == HttpStatus.OK) {
+                String responseBody = response.getBody();
+                // 解析JSON：Xinference返回格式通常为 {"text": "识别结果文本"}
+                // 实际项目中建议使用Jackson/Gson解析，这里简化处理
+                String transcription = extractTextFromJson(responseBody);
+                System.out.println("音频识别结果：" + transcription);
+            } else {
+                System.out.println("请求失败，状态码：" + response.getStatusCode());
+                System.out.println("错误信息：" + response.getBody());
+            }
+
+        } catch (IOException e) {
+            System.err.println("读取音频文件失败：" + e.getMessage());
+            e.printStackTrace();
+        } catch (Exception e) {
+            System.err.println("API调用失败：" + e.getMessage());
+            e.printStackTrace();
+        }
+    }
+
+    // 简易JSON解析（提取"text"字段）
+    private static String extractTextFromJson(String json) {
+        if (json == null || !json.contains("\"text\":")) {
+            return "解析失败，响应：" + json;
+        }
+        int start = json.indexOf("\"text\":") + 7;
+        int end = json.indexOf("}", start);
+        return json.substring(start, end).replace("\"", "").trim();
+    }
+}

src/test/java/com/rj/audio/SenseVoiceByXinferenceTest.java

@@ -0,0 +1,59 @@
+package com.rj.audio;
+
+import org.springframework.http.*;
+import org.springframework.web.client.RestTemplate;
+import java.io.File;
+import java.io.FileOutputStream;
+import java.io.IOException;
+import java.util.HashMap;
+import java.util.Map;
+
+public class SenseVoiceByXinferenceTest {
+    // Xinference 集群地址（替换为你的实际地址）
+    private static final String XINFERENCE_URL = "http://192.168.1.39:9997/v1/audio/speech";
+    // 已部署的模型名称
+    private static final String MODEL_NAME = "SenseVoiceSmall";
+
+    public static void main(String[] args) {
+        // 1. 初始化 RestTemplate
+        RestTemplate restTemplate = new RestTemplate();
+
+        // 2. 构造请求体：指定模型、输入文本
+        Map<String, Object> requestBody = new HashMap<>();
+        requestBody.put("model", MODEL_NAME);
+        requestBody.put("input", "这是一段测试SenseVoiceSmall模型的语音合成文本。");
+        // 可选参数：调整语音风格、语速等（根据模型支持的参数添加）
+        requestBody.put("voice", "default"); // 语音风格
+        requestBody.put("speed", 1.0);       // 语速（1.0为正常）
+
+        // 3. 设置请求头为 JSON 格式
+        HttpHeaders headers = new HttpHeaders();
+        headers.setContentType(MediaType.APPLICATION_JSON);
+        HttpEntity<Map<String, Object>> request = new HttpEntity<>(requestBody, headers);
+
+        try {
+            // 4. 发送 POST 请求，获取音频二进制数据
+            ResponseEntity<byte[]> response = restTemplate.postForEntity(
+                    XINFERENCE_URL,
+                    request,
+                    byte[].class
+            );
+
+            // 5. 处理响应：保存音频到本地
+            if (response.getStatusCode() == HttpStatus.OK) {
+                byte[] audioData = response.getBody();
+                if (audioData != null) {
+                    String outputPath = "sense_voice_test.wav";
+                    try (FileOutputStream fos = new FileOutputStream(new File(outputPath))) {
+                        fos.write(audioData);
+                        System.out.println("语音合成成功，已保存到：" + outputPath);
+                    }
+                }
+            } else {
+                System.out.println("请求失败，状态码：" + response.getStatusCode());
+            }
+        } catch (IOException e) {
+            e.printStackTrace();
+        }
+    }
+}

src/test/java/com/rj/service/FaceDetectImageCountTest.java

@@ -255,6 +255,8 @@ public class FaceDetectImageCountTest {
 
 
 
+
+
 
 
 

src/test/java/com/rj/service/TtsRequestLogShortUrlTest.java

@@ -196,6 +196,8 @@ public class TtsRequestLogShortUrlTest {
 
 
 
+
+
 
 
 

src/test/java/com/rj/service/VideoSynthesisTempUrlTest.java

@@ -174,6 +174,8 @@ public class VideoSynthesisTempUrlTest {
 
 
 
+
+
 
 
 

src/test/java/com/rj/service/VideoSynthesisVideoNameTest.java

@@ -149,6 +149,8 @@ public class VideoSynthesisVideoNameTest {
 
 
 
+
+