Baidu AI 인터페이스가 Java 프로젝트에서 2단계 응답을 최적화하는 방법

import com.baidu.aip.util.Base64Util;
import com.baidu.ai.yuncam.utils.AuthService;
import com.baidu.ai.yuncam.utils.HttpUtil;

import java.net.URLEncoder;
import java.util.HashMap;
import java.util.Map;
import java.util.concurrent.CompletableFuture;

public class BaiduAIOptimization {

    public static void main(String[] args) throws Exception {
        // 设置APPID/AK/SK
        String appId = "yourAppId";
        String apiKey = "yourApiKey";
        String secretKey = "yourSecretKey";

        // 获取token
        String accessToken = AuthService.getAuth(apiKey, secretKey);

        // 设置请求参数
        String url = "https://aip.baidubce.com/rest/2.0/ocr/v1/general_basic";
        byte[] imgData = Base64Util.encode(FileUtil.readFileByBytes("yourImagePath"));
        String imgStr = Base64Util.encode(imgData);
        String params = URLEncoder.encode("image", "UTF-8") + "=" + URLEncoder.encode(imgStr, "UTF-8");

        // 发送请求
        CompletableFuture<String> future = CompletableFuture.supplyAsync(() -> {
            try {
                return HttpUtil.post(url, accessToken, params);
            } catch (Exception e) {
                e.printStackTrace();
            }
            return null;
        });

        // 处理响应结果
        future.thenAccept(result -> {
            System.out.println(result);
            // ... 继续处理响应结果
        });

        // 等待异步调用完成
        future.join();
    }
}

import com.google.common.cache.Cache;
import com.google.common.cache.CacheBuilder;
import com.google.common.util.concurrent.RateLimiter;

import java.util.concurrent.ExecutionException;
import java.util.concurrent.TimeUnit;

public class BaiduAIOptimization {

    private static Cache<String, String> cache = CacheBuilder.newBuilder()
            .maximumSize(1000) // 缓存最大容量
            .expireAfterWrite(10, TimeUnit.MINUTES) // 缓存失效时间
            .build();

    private static RateLimiter rateLimiter = RateLimiter.create(10); // 每秒最多调用次数

    public static void main(String[] args) throws ExecutionException {
        String result = getResultFromCache("yourKey");
        System.out.println(result);
    }

    private static String getResultFromCache(String key) throws ExecutionException {
        rateLimiter.acquire(); // 限流，控制每秒调用次数

        return cache.get(key, () -> {
            String result = getResultFromBaiduAI(key); // 调用百度AI接口获取结果
            // ... 处理结果
            return result;
        });
    }

    private static String getResultFromBaiduAI(String key) {
        // 调用百度AI接口，获取数据
        // ...
        return "";
    }
}