头像检测。否符合要求

This commit is contained in:
spllzh
2025-10-05 16:29:45 +08:00
parent 6f96287920
commit 725a5294d0
32 changed files with 1024 additions and 0 deletions

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package com.rj.service;
import com.baomidou.mybatisplus.extension.service.IService;
import com.rj.entity.FaceDetectLog;
import java.util.Map;
/**
* 人脸检测日志服务接口
*/
public interface IFaceDetectLogService extends IService<FaceDetectLog> {
/**
* 保存人脸检测日志
* @param faceDetectLog 日志对象
* @return 是否保存成功
*/
boolean saveFaceDetectLog(FaceDetectLog faceDetectLog);
/**
* 执行人脸检测并保存日志
* @param imageUrl 图片URL
* @return 人脸检测日志对象
*/
FaceDetectLog detectFaceAndSave(String imageUrl);
/**
* 分页查询人脸检测日志
* @param current 当前页
* @param size 每页大小
* @param success 成功状态筛选
* @param startTime 开始时间
* @param endTime 结束时间
* @return 分页结果
*/
com.baomidou.mybatisplus.extension.plugins.pagination.Page<FaceDetectLog> getPageList(
Integer current, Integer size, Boolean success, String startTime, String endTime);
/**
* 获取统计信息
* @param startTime 开始时间
* @param endTime 结束时间
* @return 统计信息
*/
Map<String, Object> getStatistics(String startTime, String endTime);
}

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package com.rj.service.impl;
import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
import com.rj.entity.FaceDetectLog;
import com.rj.mapper.FaceDetectLogMapper;
import com.rj.service.IFaceDetectLogService;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.http.*;
import org.springframework.stereotype.Service;
import org.springframework.web.client.RestTemplate;
import org.springframework.web.client.HttpClientErrorException;
import org.springframework.web.client.HttpServerErrorException;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.JsonNode;
import java.time.LocalDateTime;
import java.util.HashMap;
import java.util.Map;
import java.util.UUID;
/**
* 人脸检测日志服务实现
*/
@Slf4j
@Service
public class FaceDetectLogServiceImpl extends ServiceImpl<FaceDetectLogMapper, FaceDetectLog> implements IFaceDetectLogService {
private static final String API_URL = "https://dashscope.aliyuncs.com/api/v1/services/aigc/image2video/face-detect";
@Value("${dashscope.api.key:}")
private String apiKey;
private final RestTemplate restTemplate;
private final ObjectMapper objectMapper;
public FaceDetectLogServiceImpl() {
this.restTemplate = new RestTemplate();
this.objectMapper = new ObjectMapper();
}
@Override
public boolean saveFaceDetectLog(FaceDetectLog faceDetectLog) {
try {
return save(faceDetectLog);
} catch (Exception e) {
log.error("保存人脸检测日志失败: {}", e.getMessage(), e);
return false;
}
}
/**
* 执行人脸检测并保存日志
*/
public FaceDetectLog detectFaceAndSave(String imageUrl) {
if (apiKey == null || apiKey.trim().isEmpty()) {
log.error("DASHSCOPE_API_KEY未配置");
return createErrorLog(imageUrl, "DASHSCOPE_API_KEY未配置");
}
// 创建日志记录
FaceDetectLog faceDetectLog = new FaceDetectLog();
String requestId = UUID.randomUUID().toString();
LocalDateTime requestTime = LocalDateTime.now();
faceDetectLog.setRequestId(requestId);
faceDetectLog.setModel("liveportrait-detect");
faceDetectLog.setImageUrl(imageUrl);
faceDetectLog.setRequestTime(requestTime);
long startTime = System.currentTimeMillis();
try {
// 创建请求体
Map<String, Object> requestBody = new HashMap<>();
requestBody.put("model", "liveportrait-detect");
Map<String, String> input = new HashMap<>();
input.put("image_url", imageUrl);
requestBody.put("input", input);
// 设置请求头
HttpHeaders headers = new HttpHeaders();
headers.setContentType(MediaType.APPLICATION_JSON);
headers.setBearerAuth(apiKey);
// 创建请求实体
HttpEntity<Map<String, Object>> requestEntity = new HttpEntity<>(requestBody, headers);
// 发送请求
log.info("发送人脸检测请求请求ID: {}, 图片URL: {}", requestId, imageUrl);
ResponseEntity<String> response = restTemplate.exchange(
API_URL,
HttpMethod.POST,
requestEntity,
String.class
);
// 计算处理时间
long endTime = System.currentTimeMillis();
long processingTime = endTime - startTime;
// 更新日志记录
faceDetectLog.setResponseTime(LocalDateTime.now());
faceDetectLog.setStatusCode(response.getStatusCode().value());
faceDetectLog.setProcessingTimeMs(processingTime);
faceDetectLog.setResponseData(response.getBody());
// 处理响应
log.info("人脸检测响应,状态码: {}, 处理时间: {}ms", response.getStatusCode(), processingTime);
// 解析JSON响应
if (response.getStatusCode() == HttpStatus.OK) {
JsonNode jsonResponse = objectMapper.readTree(response.getBody());
// 根据pass字段判断是否成功
boolean isSuccess = false;
if (jsonResponse.has("output") && jsonResponse.get("output").has("pass")) {
isSuccess = jsonResponse.get("output").get("pass").asBoolean();
faceDetectLog.setSuccess(isSuccess);
log.info("人脸检测结果 - pass: {}", isSuccess);
} else {
// 如果没有pass字段则根据HTTP状态码判断
isSuccess = response.getStatusCode().is2xxSuccessful();
faceDetectLog.setSuccess(isSuccess);
}
// 检查是否有检测到人脸
int faceCount = 0;
if (jsonResponse.has("output") && jsonResponse.get("output").has("faces")) {
JsonNode faces = jsonResponse.get("output").get("faces");
faceCount = faces.size();
faceDetectLog.setFaceCount(faceCount);
log.info("检测到人脸数量: {}", faceCount);
for (int i = 0; i < faces.size(); i++) {
JsonNode face = faces.get(i);
log.debug("人脸 {}: {}", i + 1, face.toString());
}
}
// 记录请求ID
if (jsonResponse.has("request_id")) {
String apiRequestId = jsonResponse.get("request_id").asText();
log.info("API请求ID: {}", apiRequestId);
}
// 记录使用情况
if (jsonResponse.has("usage")) {
JsonNode usage = jsonResponse.get("usage");
if (usage.has("image_count")) {
int imageCount = usage.get("image_count").asInt();
log.info("处理的图片数量: {}", imageCount);
}
}
} else {
// HTTP状态码不是200直接标记为失败
faceDetectLog.setSuccess(false);
}
// 保存到数据库
boolean saved = saveFaceDetectLog(faceDetectLog);
if (saved) {
log.info("人脸检测日志已保存请求ID: {}", requestId);
} else {
log.error("保存人脸检测日志失败请求ID: {}", requestId);
}
return faceDetectLog;
} catch (HttpClientErrorException e) {
return handleError(faceDetectLog, e, "客户端错误 (4xx): " + e.getStatusCode(), startTime);
} catch (HttpServerErrorException e) {
return handleError(faceDetectLog, e, "服务器错误 (5xx): " + e.getStatusCode(), startTime);
} catch (Exception e) {
return handleError(faceDetectLog, e, "人脸检测请求失败: " + e.getMessage(), startTime);
}
}
/**
* 处理错误并保存到数据库
*/
private FaceDetectLog handleError(FaceDetectLog faceDetectLog, Exception e, String errorMessage, long startTime) {
long endTime = System.currentTimeMillis();
long processingTime = endTime - startTime;
faceDetectLog.setResponseTime(LocalDateTime.now());
faceDetectLog.setSuccess(false);
faceDetectLog.setProcessingTimeMs(processingTime);
faceDetectLog.setErrorMessage(errorMessage);
if (e instanceof HttpClientErrorException) {
faceDetectLog.setStatusCode(((HttpClientErrorException) e).getStatusCode().value());
faceDetectLog.setResponseData(((HttpClientErrorException) e).getResponseBodyAsString());
} else if (e instanceof HttpServerErrorException) {
faceDetectLog.setStatusCode(((HttpServerErrorException) e).getStatusCode().value());
faceDetectLog.setResponseData(((HttpServerErrorException) e).getResponseBodyAsString());
}
log.error("人脸检测失败: {}", errorMessage);
log.error("错误详情: {}", e.getMessage());
// 保存错误日志到数据库
try {
saveFaceDetectLog(faceDetectLog);
log.info("错误日志已保存请求ID: {}", faceDetectLog.getRequestId());
} catch (Exception saveException) {
log.error("保存错误日志失败: {}", saveException.getMessage());
}
return faceDetectLog;
}
/**
* 创建错误日志
*/
private FaceDetectLog createErrorLog(String imageUrl, String errorMessage) {
FaceDetectLog faceDetectLog = new FaceDetectLog();
faceDetectLog.setRequestId(UUID.randomUUID().toString());
faceDetectLog.setModel("liveportrait-detect");
faceDetectLog.setImageUrl(imageUrl);
faceDetectLog.setRequestTime(LocalDateTime.now());
faceDetectLog.setResponseTime(LocalDateTime.now());
faceDetectLog.setSuccess(false);
faceDetectLog.setErrorMessage(errorMessage);
faceDetectLog.setFaceCount(0);
try {
saveFaceDetectLog(faceDetectLog);
} catch (Exception e) {
log.error("保存错误日志失败: {}", e.getMessage());
}
return faceDetectLog;
}
/**
* 分页查询人脸检测日志
*/
@Override
public com.baomidou.mybatisplus.extension.plugins.pagination.Page<FaceDetectLog> getPageList(
Integer current, Integer size, Boolean success, String startTime, String endTime) {
com.baomidou.mybatisplus.extension.plugins.pagination.Page<FaceDetectLog> page =
new com.baomidou.mybatisplus.extension.plugins.pagination.Page<>(current, size);
com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper<FaceDetectLog> queryWrapper =
new com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper<>();
// 添加查询条件
if (success != null) {
queryWrapper.eq(FaceDetectLog::getSuccess, success);
}
if (startTime != null && !startTime.trim().isEmpty()) {
queryWrapper.ge(FaceDetectLog::getRequestTime, startTime);
}
if (endTime != null && !endTime.trim().isEmpty()) {
queryWrapper.le(FaceDetectLog::getRequestTime, endTime);
}
// 按请求时间倒序排列
queryWrapper.orderByDesc(FaceDetectLog::getRequestTime);
return page(page, queryWrapper);
}
/**
* 获取统计信息
*/
@Override
public Map<String, Object> getStatistics(String startTime, String endTime) {
Map<String, Object> statistics = new HashMap<>();
// 构建查询条件
com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper<FaceDetectLog> queryWrapper =
new com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper<>();
// 时间范围筛选
if (startTime != null && !startTime.trim().isEmpty()) {
queryWrapper.ge(FaceDetectLog::getRequestTime, startTime);
}
if (endTime != null && !endTime.trim().isEmpty()) {
queryWrapper.le(FaceDetectLog::getRequestTime, endTime);
}
// 查询总数
long totalCount = count(queryWrapper);
// 查询成功数
com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper<FaceDetectLog> successWrapper =
new com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper<>();
// 时间范围筛选
if (startTime != null && !startTime.trim().isEmpty()) {
successWrapper.ge(FaceDetectLog::getRequestTime, startTime);
}
if (endTime != null && !endTime.trim().isEmpty()) {
successWrapper.le(FaceDetectLog::getRequestTime, endTime);
}
successWrapper.eq(FaceDetectLog::getSuccess, true);
long successCount = count(successWrapper);
// 查询失败数
long failureCount = totalCount - successCount;
// 计算成功率
double successRate = totalCount > 0 ? (double) successCount / totalCount * 100 : 0;
// 查询平均处理时间
java.util.List<FaceDetectLog> logs = list(queryWrapper);
double avgProcessingTime = logs.stream()
.filter(log -> log.getProcessingTimeMs() != null)
.mapToLong(FaceDetectLog::getProcessingTimeMs)
.average()
.orElse(0.0);
// 查询总人脸数量
int totalFaceCount = logs.stream()
.filter(log -> log.getFaceCount() != null)
.mapToInt(FaceDetectLog::getFaceCount)
.sum();
// 构建统计结果
statistics.put("totalCount", totalCount);
statistics.put("successCount", successCount);
statistics.put("failureCount", failureCount);
statistics.put("successRate", Math.round(successRate * 100.0) / 100.0);
statistics.put("avgProcessingTimeMs", Math.round(avgProcessingTime));
statistics.put("totalFaceCount", totalFaceCount);
log.info("统计信息查询完成,总数: {}, 成功数: {}, 失败数: {}, 成功率: {}%",
totalCount, successCount, failureCount, successRate);
return statistics;
}
}

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