package com.producthunt.server;

import java.util.ArrayList;
import java.util.List;

import org.springframework.ai.chat.client.ChatClient;
import org.springframework.ai.chat.messages.Message;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.chat.prompt.PromptTemplate;
import org.springframework.ai.chat.prompt.SystemPromptTemplate;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.core.io.Resource;
import org.springframework.graphql.client.GraphQlClient;
import org.springframework.util.CollectionUtils;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;

import com.producthunt.server.core.config.ProductHuntConfig;
import com.producthunt.server.feign.ProductHuntFeign;
import com.producthunt.server.feign.dto.OauthRequest;
import com.producthunt.server.feign.dto.OauthResponse;

/**
 * @author tyuio
 * @version 1.0.0
 * @description TODO
 * @date 2025/2/17 19:17
 */
@RestController
@RequestMapping("/test")
public class TestController {

    @Autowired
    private ProductHuntFeign productHuntFeign;

    @Autowired
    private ProductHuntConfig productHuntConfig;

    @GetMapping("/t1")
    public OauthResponse t1() {
        OauthRequest oauthRequest = new OauthRequest();
        oauthRequest.setClientId(productHuntConfig.getClientId());
        oauthRequest.setClientSecret(productHuntConfig.getClientSecret());
        return productHuntFeign.getOauthToken(oauthRequest);
    }

    @Autowired
    private GraphQlClient graphQlClient;

    /**
     * Product Hunt 查询模板（按投票数排序，限定时间范围）
     */
    private final String queryTemplate = """
        {
                   posts(order: VOTES, postedAfter: "%sT00:00:00Z", postedBefore: "%sT23:59:59Z", after: "%s") {
                     nodes {
                       id
                       name
                       tagline
                       description
                       votesCount
                       createdAt
                       featuredAt
                       website
                       url
                     }
                     pageInfo {
                       hasNextPage
                       endCursor
                     }
                   }
                 }
        """;

    @GetMapping("/t2")
    public List<PostNode> t2() {
        List<PostNode> posts = new ArrayList<>();
        boolean hasNextPage = true;
        String endCursor = "";
        String dateStr = "2025-02-22";
        while (hasNextPage) {
            // 设置查询模板并发起查询，好像无法直接一次性查询指定数量，只能分页查询并且要自己控制所需数量
            String queryDocument = String.format(queryTemplate, dateStr, dateStr, endCursor);
            PostResponse postResponse =
                graphQlClient.document(queryDocument).retrieveSync("posts").toEntity(PostResponse.class);
            // 把获取到的帖子信息放入容器
            if (!CollectionUtils.isEmpty(postResponse.getNodes())) {
                posts.addAll(postResponse.getNodes());
            }
            // 帖子数量大于30则退出
            if (posts.size() > 30) {
                break;
            }
            // 没有下一页了则跳出循环
            if (!postResponse.getPageInfo().getHasNextPage()) {
                break;
            }
            hasNextPage = postResponse.getPageInfo().getHasNextPage();
        }
        return posts.subList(0, 30);
    }

    @Autowired
    private ChatClient.Builder chatClientBuilder;

    // 通过@Value注解注入资源文件
    @Value("classpath:/prompts/system-message.st")
    private Resource promptSystemMessage;

    @GetMapping("/t3")
    public String t3() {

//        // 1. 定义用户消息模板
        String userText = """
    Enter a prompt, set your preferences, and let AI build a high-converting, fully optimized eCommerce store in minutes—no coding, no design skills, no hassle. Launch your store effortlessly and start selling instantly! 🚀
    """;
//// 创建用户提示模板对象
//        PromptTemplate userPromptTemplate = new PromptTemplate(userText);
//// 根据模板和参数创建用户消息
//        Message userMessage = userPromptTemplate.createMessage();
//
//// 创建系统提示模板对象
//        SystemPromptTemplate systemPromptTemplate = new SystemPromptTemplate(promptSystemMessage);
//// 根据模板和参数创建系统消息
//        Message systemMessage = systemPromptTemplate.createMessage();
//// 创建包含其他消息和系统消息的提示
//        Prompt prompt = new Prompt(List.of(userMessage, systemMessage));

// 3. 创建包含用户消息和系统消息的提示

        // 单个提问
        ChatClient chatClient = chatClientBuilder.defaultSystem(promptSystemMessage).build();
        return chatClient.prompt().user(userText).call().content();
    }
}