댓글 자동화 & 커뮤니티 성장 엔진

// 네이티브 코드 - 댓글 자동 응답 AI 시스템
#include <string>
#include <vector>
#include <curl/curl.h>
#include <json/json.h>

struct Comment {
    std::string commentId;
    std::string authorName;
    std::string text;
    std::string videoId;
    int likeCount = 0;
    bool isReplied = false;
    double sentimentScore = 0.0; // -1.0 ~ 1.0
};

class CommentAIResponder {
private:
    std::string youtubeApiKey;
    std::string openaiApiKey;
    std::string channelPersona; // 채널 톤앤매너

public:
    CommentAIResponder(const std::string& ytKey,
                        const std::string& oaiKey) {
        youtubeApiKey = ytKey;
        openaiApiKey = oaiKey;
        channelPersona = "친근하고 재미있는 크리에이터 톤";
    }

    std::vector<Comment> fetchNewComments(const std::string& videoId) {
        std::string url = "https://www.googleapis.com/youtube/v3/"
            "commentThreads?part=snippet&videoId=" + videoId
            + "&order=time&maxResults=100&key=" + youtubeApiKey;

        auto response = httpGet(url);
        return parseComments(response);
    }

    std::string generateAIReply(const Comment& comment) {
        Json::Value req;
        req["model"] = "gpt-4o-mini";
        req["messages"][0]["role"] = "system";
        req["messages"][0]["content"] =
            "너는 YouTube 채널 운영자야. "
            + channelPersona +
            " 댓글에 50자 이내로 자연스럽게 답변해.";
        req["messages"][1]["role"] = "user";
        req["messages"][1]["content"] = comment.text;
        req["max_tokens"] = 100;
        req["temperature"] = 0.8;

        auto resp = callOpenAI(req);
        return resp["choices"][0]["message"]["content"].asString();
    }

    void postReply(const std::string& parentId,
                   const std::string& replyText) {
        Json::Value body;
        body["snippet"]["parentId"] = parentId;
        body["snippet"]["textOriginal"] = replyText;
        youtubePost("comments?part=snippet", body);
    }
};