Merge remote-tracking branch 'origin/master'
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package com.heyu.api.controller.doc;
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import com.heyu.api.baidu.handle.doc.BDocClassifyHandle;
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import com.heyu.api.baidu.request.doc.BDocClassifyRequest;
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import com.heyu.api.baidu.response.doc.BDocClassifyResp;
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import com.heyu.api.controller.BaseController;
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import com.heyu.api.data.annotation.CacheResult;
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import com.heyu.api.data.annotation.NotIntercept;
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import com.heyu.api.data.utils.ApiR;
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import com.heyu.api.data.utils.R;
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import com.heyu.api.resp.doc.DocClassifyResp;
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import lombok.extern.slf4j.Slf4j;
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import org.apache.commons.collections.CollectionUtils;
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import org.springframework.beans.factory.annotation.Autowired;
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import com.heyu.api.data.utils.StringUtils;
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import org.springframework.web.bind.annotation.RequestMapping;
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import org.springframework.web.bind.annotation.RestController;
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import java.util.ArrayList;
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import java.util.List;
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import java.util.Map;
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/***
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* https://console.bce.baidu.com/support/?_=1740667714316×tamp=1742716755429#/api?product=AI&project=%E6%96%87%E5%AD%97%E8%AF%86%E5%88%AB&parent=%E6%96%87%E6%A1%A3%E5%9B%BE%E5%83%8F%E5%A4%84%E7%90%86&api=rest%2F2.0%2Focr%2Fv1%2Fdoc_classify&method=post
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*
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* https://cloud.baidu.com/doc/OCR/s/qlor1ahik
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*
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* 文件检测分类
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*
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* 接口描述
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* 对图片中的文档、卡证、票据等含文字的主体进行检测、分类，可同时支持一张图片中多张主体的情况，返回每个主体的类别及位置信息。
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*
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*
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*/
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@Slf4j
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@RestController
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@RequestMapping("/doc")
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@NotIntercept
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public class DocClassifyController {
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@Autowired
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private BDocClassifyHandle bDocClassifyHandle;
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public class DocClassifyController extends BaseController {
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private static final String DOC_CLASSIFY_URI = "/rest/2.0/ocr/v1/doc_classify";
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/**
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* 文件检测分类，对图片中的文档、卡证、票据等含文字的主体进行检测、分类
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*
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* 请求参数:
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* <pre>
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* {
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* "imageBase64": "图像base64编码（与imageUrl二选一）",
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* "imageUrl": "图片完整URL（与imageBase64二选一）"
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* }
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* </pre>
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*/
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@RequestMapping("/classify")
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@CacheResult
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public R classify(BDocClassifyRequest request) {
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List<DocClassifyResp> respList = new ArrayList<>();
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ApiR<BDocClassifyResp> bR = bDocClassifyHandle.handle(request);
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if (bR.isSuccess()) {
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BDocClassifyResp bDocClassifyResp = bR.getData();
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if (CollectionUtils.isNotEmpty(bDocClassifyResp.getWordsResult())) {
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for (BDocClassifyResp.WordsResultDTO wordsResultDTO : bDocClassifyResp.getWordsResult()) {
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DocClassifyResp resp = new DocClassifyResp();
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resp.setProbablity(wordsResultDTO.getProbablity());
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resp.setType(wordsResultDTO.getType());
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respList.add(resp);
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public R<BDocClassifyResp> classify(BDocClassifyRequest request) {
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if (request == null || (isBlank(request.getImageBase64()) && isBlank(request.getImageUrl()))) {
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return R.error("image 和 url 不能都为空");
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}
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return R.ok().setData(respList);
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String content = buildContent(request);
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Map<String, Object> result = requestBaidu(DOC_CLASSIFY_URI, content);
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if (result == null) {
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return R.error("识别失败");
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}
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BDocClassifyResp resp = com.alibaba.fastjson.JSONObject.parseObject(
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com.alibaba.fastjson.JSONObject.toJSONString(result), BDocClassifyResp.class);
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return R.ok().setData(resp);
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}
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return R.error(bR.getErrorMsg());
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private String buildContent(BDocClassifyRequest request) {
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StringBuilder sb = new StringBuilder();
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if (StringUtils.isNotBlank(request.getImageBase64())) {
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sb.append("&image=").append(request.getImageBase64());
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}
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if (StringUtils.isNotBlank(request.getImageUrl())) {
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sb.append("&url=").append(request.getImageUrl());
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}
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return sb.toString();
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}
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}
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@ -0,0 +1,78 @@
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package com.heyu.api.controller.doc;
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import com.ApiInterfaceApplicationTests;
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import com.alibaba.fastjson.JSON;
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import com.heyu.api.baidu.request.doc.BDocClassifyRequest;
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import com.heyu.api.baidu.response.doc.BDocClassifyResp;
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import com.heyu.api.data.utils.R;
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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 static org.junit.jupiter.api.Assertions.assertEquals;
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import static org.junit.jupiter.api.Assertions.assertNotNull;
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/**
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* 文件检测分类 - 在线图片验证
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*
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* 调用本地 /doc/classify 接口，对图片中的文档、卡证、票据进行检测分类。
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*
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* 假设(Given): 目标图片可访问，百度 API 可用
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* 当(When): 调用 classify 接口，传入图片 URL
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* 则(Then): 返回检测结果
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*
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* @author zhengli
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* @since 20260531_zl
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*/
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public class DocClassifyControllerTest extends ApiInterfaceApplicationTests {
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@Autowired
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private DocClassifyController docClassifyController;
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private static final String TARGET_IMAGE_URL = "https://www.opsky.com.cn/upload/20211224/KXfgvm2MFRAXKbPu5LK.png";
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@Test
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void classifyByUrlTest() {
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// 1. 构造请求
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BDocClassifyRequest request = new BDocClassifyRequest();
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request.setImageUrl(TARGET_IMAGE_URL);
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// 2. 打印请求参数
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System.out.println("\n========== 请求参数 ==========");
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System.out.println(JSON.toJSONString(request));
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System.out.println("==============================");
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// 3. 调用本地 /doc/classify 接口
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R<BDocClassifyResp> result = docClassifyController.classify(request);
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// 4. 打印响应结果
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System.out.println("\n========== 响应结果 ==========");
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System.out.println(JSON.toJSONString(result));
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System.out.println("==============================");
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// 5. 断言
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assertNotNull(result, "返回结果不能为空");
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assertEquals("200", result.getCode(), "接口应返回成功");
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assertNotNull(result.getData(), "返回数据不能为空");
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// 6. 打印接口返回值
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System.out.println("\n========== /doc/classify 接口返回 ==========");
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System.out.println("{\"code\":\"" + result.getCode() + "\",");
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System.out.println(" \"msg\":\"" + result.getMsg() + "\",");
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System.out.println(" \"data\":" + JSON.toJSONString(result.getData()));
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System.out.println("}");
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System.out.println("================================================");
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}
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@Test
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void classifyParamEmptyTest() {
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// 1. 构造请求 - image 和 url 都为空
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BDocClassifyRequest request = new BDocClassifyRequest();
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// 2. 调用接口
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R<BDocClassifyResp> result = docClassifyController.classify(request);
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// 3. 断言
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assertNotNull(result, "返回结果不能为空");
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assertEquals("400", result.getCode(), "参数为空时应返回失败");
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}
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}
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@ -4,6 +4,7 @@
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- 商售后支持不能出现联系方式
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- 任何地方不能出现绝对化字眼
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- 商品介绍不能出现三方品牌
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- 商品上架完成后，并更新文档【doc/百度智能云-文字识别-API文档-API列表.md】状态;
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#### 二、特殊商品资质文案
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```
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@ -3,5 +3,5 @@
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- 1.1、接口开发时，所有的逻辑用controller 来实现;
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- 1.2、接口实现规范参考：RecognizeDrivingLicenseController.java;
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- 1.3、接口开发自测完成后记得更新文档【doc/百度智能云-文字识别-API文档-API列表.md】状态;
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- 1.4、商品上架完成后，并更新文档【doc/百度智能云-文字识别-API文档-API列表.md】状态;
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- 1.5、接口使用body传参数，ContentType= application/x-www-form-urlencoded;
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- 1.4、接口使用body传参数，ContentType= application/x-www-form-urlencoded;
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- 1.5、集成测试参考：com/heyu/api/controller/doc/ForgeryDetectionControllerTest.java;
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