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code/crane/crane-api/crane-test/src/main/java/com/crane/test/Test.java

@@ -11,19 +11,30 @@ import java.util.Base64;
 
 public class Test{
     public static void main(String[] args) throws IOException {
-        String API_URL = "http://localhost:8080/ocr";
-        String imagePath = "./demo.jpg";
+        String API_URL = "http://localhost:8866/ocr";
+        String imagePath = "D:\\workspace\\code\\crane\\crane-api\\crane-test\\src\\main\\java\\com\\crane\\test\\tempImageNYfUPw-750x563.webp";
 
         File file = new File(imagePath);
+        long base64StartTime = System.nanoTime();
+
         byte[] fileContent = java.nio.file.Files.readAllBytes(file.toPath());
         String base64Image = Base64.getEncoder().encodeToString(fileContent);
+        long base64EndTime = System.nanoTime();
+        long durationMs1 = (base64EndTime - base64StartTime) / 1_000_000; // 毫秒
 
+        System.out.println("图片转 BASE64 耗时: " + durationMs1 + " ms");
         ObjectMapper objectMapper = new ObjectMapper();
         ObjectNode payload = objectMapper.createObjectNode();
         payload.put("file", base64Image);
         payload.put("fileType", 1);
 
-        OkHttpClient client = new OkHttpClient();
+
+        OkHttpClient client = new OkHttpClient.Builder()
+                .connectTimeout(300, java.util.concurrent.TimeUnit.SECONDS)  // 连接超时，建议20-30秒
+                .writeTimeout(300, java.util.concurrent.TimeUnit.SECONDS)    // 写请求体超时
+                .readTimeout(300, java.util.concurrent.TimeUnit.SECONDS)     // 读取响应超时，OCR服务响应较慢可设置长点
+                .build();
+
         MediaType JSON = MediaType.get("application/json; charset=utf-8");
         RequestBody body = RequestBody.create(JSON, payload.toString());
 
@@ -32,25 +43,35 @@ public class Test{
                 .post(body)
                 .build();
 
+        long startTime = System.nanoTime();
+
         try (Response response = client.newCall(request).execute()) {
+            long endTime = System.nanoTime();
+            long durationMs = (endTime - startTime) / 1_000_000; // 毫秒
+
+            System.out.println("⏱️ 请求耗时: " + durationMs + " ms");
+
             if (response.isSuccessful()) {
                 String responseBody = response.body().string();
+
                 JsonNode root = objectMapper.readTree(responseBody);
                 JsonNode result = root.get("result");
 
                 JsonNode ocrResults = result.get("ocrResults");
+
                 for (int i = 0; i < ocrResults.size(); i++) {
                     JsonNode item = ocrResults.get(i);
-
                     JsonNode prunedResult = item.get("prunedResult");
-                    System.out.println("Pruned Result [" + i + "]: " + prunedResult.toString());
-
-                    String ocrImageBase64 = item.get("ocrImage").asText();
-                    byte[] ocrImageBytes = Base64.getDecoder().decode(ocrImageBase64);
-                    String ocrImgPath = "ocr_result_" + i + ".jpg";
-                    try (FileOutputStream fos = new FileOutputStream(ocrImgPath)) {
-                        fos.write(ocrImageBytes);
-                        System.out.println("Saved OCR image to: " + ocrImgPath);
+                    System.out.println(prunedResult);
+                    // 获取 rec_texts 并打印
+                    JsonNode recTexts = prunedResult.get("rec_texts");
+                    if (recTexts != null && recTexts.isArray()) {
+                        System.out.println("📦 rec_texts:");
+                        for (JsonNode text : recTexts) {
+                            System.out.println("  ➤ " + text.asText());
+                        }
+                    } else {
+                        System.out.println("❗ 未检测到 rec_texts 字段");
                     }
                 }
             } else {