头像检测。否符合要求
This commit is contained in:
spllzh
97
src/test/java/com/rj/audio/FaceDetectTest.java
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97
src/test/java/com/rj/audio/FaceDetectTest.java
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package com.rj.audio;
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import org.springframework.http.*;
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import org.springframework.web.client.RestTemplate;
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import org.springframework.web.client.HttpClientErrorException;
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import org.springframework.web.client.HttpServerErrorException;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import com.fasterxml.jackson.databind.JsonNode;
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import com.rj.entity.FaceDetectLog;
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import com.rj.service.IFaceDetectLogService;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.stereotype.Component;
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import java.util.HashMap;
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import java.util.Map;
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import java.time.LocalDateTime;
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import java.util.UUID;
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@Component
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public class FaceDetectTest {
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private static final String API_URL = "https://dashscope.aliyuncs.com/api/v1/services/aigc/image2video/face-detect";
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private static final String API_KEY = System.getenv("DASHSCOPE_API_KEY");
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@Autowired
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private IFaceDetectLogService faceDetectLogService;
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public static void main(String[] args) {
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if (API_KEY == null || API_KEY.trim().isEmpty()) {
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System.err.println("请设置DASHSCOPE_API_KEY环境变量");
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return;
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}
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String imageUrl = "http://101.35.52.237:19006/api/v1/download-shared-object/aHR0cDovLzEyNy4wLjAuMTo5MDA1L3NyYy1iYXNlLWF1ZGlvLXZpZGVvLyVFNSVCRSVBRSVFNCVCRiVBMSVFNSU5QiVCRSVFNyU4OSU4N18yMDI1MTAwNTEyMDIwNV81Nl80OS5qcGc_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";
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try {
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// 创建请求体
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Map<String, Object> requestBody = new HashMap<>();
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requestBody.put("model", "liveportrait-detect");
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Map<String, String> input = new HashMap<>();
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input.put("image_url",imageUrl);
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requestBody.put("input", input);
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// 设置请求头
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HttpHeaders headers = new HttpHeaders();
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headers.setContentType(MediaType.APPLICATION_JSON);
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headers.setBearerAuth(API_KEY);
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// 创建请求实体
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HttpEntity<Map<String, Object>> requestEntity = new HttpEntity<>(requestBody, headers);
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// 发送请求
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RestTemplate restTemplate = new RestTemplate();
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System.out.println("发送人脸检测请求到: " + API_URL);
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System.out.println("请求参数: " + new ObjectMapper().writeValueAsString(requestBody));
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ResponseEntity<String> response = restTemplate.exchange(
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API_URL,
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HttpMethod.POST,
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requestEntity,
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String.class
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);
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// 处理响应
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System.out.println("响应状态码: " + response.getStatusCode());
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System.out.println("响应头: " + response.getHeaders());
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System.out.println("响应体: " + response.getBody());
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// 解析JSON响应
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if (response.getStatusCode() == HttpStatus.OK) {
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ObjectMapper mapper = new ObjectMapper();
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JsonNode jsonResponse = mapper.readTree(response.getBody());
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System.out.println("解析后的响应: " + mapper.writerWithDefaultPrettyPrinter().writeValueAsString(jsonResponse));
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// 检查是否有检测到人脸
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if (jsonResponse.has("output") && jsonResponse.get("output").has("faces")) {
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JsonNode faces = jsonResponse.get("output").get("faces");
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System.out.println("检测到人脸数量: " + faces.size());
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for (int i = 0; i < faces.size(); i++) {
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JsonNode face = faces.get(i);
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System.out.println("人脸 " + (i + 1) + ": " + face.toString());
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}
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}
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}
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} catch (HttpClientErrorException e) {
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System.err.println("客户端错误 (4xx): " + e.getStatusCode());
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System.err.println("错误响应: " + e.getResponseBodyAsString());
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e.printStackTrace();
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} catch (HttpServerErrorException e) {
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System.err.println("服务器错误 (5xx): " + e.getStatusCode());
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System.err.println("错误响应: " + e.getResponseBodyAsString());
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e.printStackTrace();
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} catch (Exception e) {
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System.err.println("人脸检测请求失败: " + e.getMessage());
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e.printStackTrace();
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}
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}
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}
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50
src/test/java/com/rj/audio/VoiceEnrollmentSampleCodes.java
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src/test/java/com/rj/audio/VoiceEnrollmentSampleCodes.java
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package com.rj.audio;
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import com.alibaba.dashscope.audio.ttsv2.SpeechSynthesisParam;
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import com.alibaba.dashscope.audio.ttsv2.SpeechSynthesizer;
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import com.alibaba.dashscope.exception.InputRequiredException;
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import com.alibaba.dashscope.exception.NoApiKeyException;
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import java.io.File;
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import java.io.FileOutputStream;
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import java.io.IOException;
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import java.nio.ByteBuffer;
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import static java.lang.System.exit;
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public class VoiceEnrollmentSampleCodes {
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public static String apiKey = System.getenv("DASHSCOPE_API_KEY"); // 如果您没有配置环境变量，请在此处用您的API-KEY进行替换
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private static String targetModel = "cosyvoice-v2";
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// private static String targetModel = "cosyvoice-v3";
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public static void main(String[] args)
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throws NoApiKeyException, InputRequiredException {
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// 复刻声音
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// VoiceEnrollmentService service = new VoiceEnrollmentService(apiKey);
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// Voice myVoice = service.createVoice(targetModel, prefix, fileUrl);
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// System.out.println("RequestId: " + service.getLastRequestId());
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// System.out.println("your voice id is " + myVoice.getVoiceId()); //cosyvoice-v3-mayun-224491d8b48344a5a483c8980eeb22fc cosyvoice-v2-mayun-5c4ee144ead34ded8b12970101cef484
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// 使用复刻的声音来合成文本为语音
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System.out.println("开始TTS合成，使用语音: longanran");
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SpeechSynthesisParam param = SpeechSynthesisParam.builder()
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.apiKey(apiKey)
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.model(targetModel)
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.voice("longyingling")
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.voice("longyuan_v2")
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.build();
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SpeechSynthesizer synthesizer = new SpeechSynthesizer(param, null);
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String testText = "您好， 您可以通过以下步骤使用通义万相进行视频生成,如果您在使用过程中遇到权限问题，可以尝试在阿里云官网搜索通义万相视频生成申请体验权限";
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System.out.println("合成文本: " + testText);
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ByteBuffer audio = synthesizer.call(testText);
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// 保存合成的语音到文件
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System.out.println("TTS RequestId: " + synthesizer.getLastRequestId());
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System.out.println("音频数据大小: " + audio.array().length + " bytes");
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File file = new File("output_longyuan_v2.mp3");
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try (FileOutputStream fos = new FileOutputStream(file)) {
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fos.write(audio.array());
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System.out.println("音频文件已保存到: " + file.getAbsolutePath());
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} catch (IOException e) {
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System.err.println("保存音频文件失败: " + e.getMessage());
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throw new RuntimeException(e);
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}
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exit(0);
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}
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}
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package com.rj.controller;
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import com.rj.entity.FaceDetectLog;
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import com.rj.service.IFaceDetectLogService;
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import org.junit.jupiter.api.Test;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.boot.test.context.SpringBootTest;
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import org.springframework.test.context.ActiveProfiles;
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import org.springframework.transaction.annotation.Transactional;
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import static org.junit.jupiter.api.Assertions.*;
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/**
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* 人脸检测控制器集成测试
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*/
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@SpringBootTest
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@ActiveProfiles("test")
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@Transactional
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public class FaceDetectControllerIntegrationTest {
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@Autowired
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private IFaceDetectLogService faceDetectLogService;
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@Test
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public void testDetectFaceWithValidUrl() {
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// 使用测试图片URL
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String testImageUrl = "http://101.35.52.237:19006/api/v1/download-shared-object/aHR0cDovLzEyNy4wLjAuMTo5MDA1L3NyYy1iYXNlLWF1ZGlvLXZpZGVvLyVFNSVCRSVBRSVFNCVCRiVBMSVFNSU5QiVCRSVFNyU4OSU4N18yMDI1MTAwNTEyMDIwNV81Nl80OS5qcGc_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";
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try {
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// 执行人脸检测
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FaceDetectLog result = faceDetectLogService.detectFaceAndSave(testImageUrl);
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// 验证结果
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assertNotNull(result);
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assertNotNull(result.getRequestId());
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assertEquals("liveportrait-detect", result.getModel());
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assertEquals(testImageUrl, result.getImageUrl());
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assertNotNull(result.getRequestTime());
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System.out.println("人脸检测测试结果:");
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System.out.println("请求ID: " + result.getRequestId());
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System.out.println("成功状态: " + result.getSuccess());
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System.out.println("人脸数量: " + result.getFaceCount());
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System.out.println("处理时间: " + result.getProcessingTimeMs() + "ms");
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System.out.println("HTTP状态码: " + result.getStatusCode());
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if (!result.getSuccess()) {
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System.out.println("错误信息: " + result.getErrorMessage());
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}
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// 验证响应数据包含pass字段
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if (result.getResponseData() != null) {
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System.out.println("响应数据: " + result.getResponseData());
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}
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} catch (Exception e) {
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System.err.println("人脸检测测试失败: " + e.getMessage());
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e.printStackTrace();
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}
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}
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@Test
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public void testDetectFaceWithInvalidUrl() {
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// 使用无效的图片URL
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String invalidImageUrl = "https://invalid-url.com/nonexistent.jpg";
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try {
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// 执行人脸检测
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FaceDetectLog result = faceDetectLogService.detectFaceAndSave(invalidImageUrl);
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// 验证结果
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assertNotNull(result);
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assertNotNull(result.getRequestId());
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assertEquals("liveportrait-detect", result.getModel());
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assertEquals(invalidImageUrl, result.getImageUrl());
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System.out.println("无效URL测试结果:");
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System.out.println("请求ID: " + result.getRequestId());
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System.out.println("成功状态: " + result.getSuccess());
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System.out.println("错误信息: " + result.getErrorMessage());
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} catch (Exception e) {
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System.err.println("无效URL测试失败: " + e.getMessage());
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e.printStackTrace();
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}
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}
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@Test
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public void testPassFieldLogic() {
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// 测试pass字段逻辑
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System.out.println("=== 测试pass字段逻辑 ===");
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// 模拟响应数据
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String mockResponseData = "{\"output\":{\"message\":\"\",\"pass\":true},\"usage\":{\"image_count\":1},\"request_id\":\"ee4a54ca-c190-4594-990e-d9546cbbd5ed\"}";
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try {
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// 创建测试日志
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FaceDetectLog testLog = new FaceDetectLog();
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testLog.setRequestId("test-pass-logic-" + System.currentTimeMillis());
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testLog.setModel("liveportrait-detect");
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testLog.setImageUrl("https://example.com/test.jpg");
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testLog.setRequestTime(java.time.LocalDateTime.now());
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testLog.setResponseTime(java.time.LocalDateTime.now());
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testLog.setStatusCode(200);
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testLog.setResponseData(mockResponseData);
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testLog.setProcessingTimeMs(1500L);
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// 解析响应数据中的pass字段
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com.fasterxml.jackson.databind.ObjectMapper mapper = new com.fasterxml.jackson.databind.ObjectMapper();
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com.fasterxml.jackson.databind.JsonNode jsonResponse = mapper.readTree(mockResponseData);
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boolean isSuccess = false;
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if (jsonResponse.has("output") && jsonResponse.get("output").has("pass")) {
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isSuccess = jsonResponse.get("output").get("pass").asBoolean();
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testLog.setSuccess(isSuccess);
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System.out.println("解析到的pass值: " + isSuccess);
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System.out.println("设置的成功状态: " + testLog.getSuccess());
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}
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// 验证pass字段解析
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assertTrue(isSuccess, "pass字段应该为true");
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assertTrue(testLog.getSuccess(), "成功状态应该为true");
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System.out.println("pass字段逻辑测试通过");
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} catch (Exception e) {
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System.err.println("pass字段逻辑测试失败: " + e.getMessage());
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e.printStackTrace();
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}
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}
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@Test
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public void testSaveFaceDetectLog() {
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// 创建测试日志
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FaceDetectLog testLog = new FaceDetectLog();
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testLog.setRequestId("test-request-id-" + System.currentTimeMillis());
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testLog.setModel("liveportrait-detect");
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testLog.setImageUrl("https://example.com/test.jpg");
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testLog.setRequestTime(java.time.LocalDateTime.now());
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testLog.setResponseTime(java.time.LocalDateTime.now());
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testLog.setStatusCode(200);
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testLog.setSuccess(true);
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testLog.setFaceCount(1);
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testLog.setResponseData("{\"output\":{\"faces\":[{\"bbox\":[100,100,200,200]}]}}");
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testLog.setProcessingTimeMs(1500L);
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// 保存日志
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boolean saved = faceDetectLogService.saveFaceDetectLog(testLog);
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// 验证保存结果
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assertTrue(saved);
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System.out.println("日志保存测试成功，请求ID: " + testLog.getRequestId());
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}
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}
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