import { PrismaClient } from "@prisma/client";
import { PrismaMariaDb } from "@prisma/adapter-mariadb";
import { Octokit } from "octokit";
import OpenAI from "openai";
import "dotenv/config";

const base = process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4";
const sep = base.includes("?") ? "&" : "?";
const connectionString = `${base}${sep}connection_limit=20&pool_timeout=30`;
const adapter = new PrismaMariaDb(connectionString);
const prisma = new PrismaClient({ adapter });

const octokit = new Octokit({
  auth: process.env.GITHUB_TOKEN || undefined,
});

const openai = new OpenAI({
  apiKey: process.env.DEEPSEEK_API_KEY,
  baseURL: "https://api.deepseek.com/v1",
});

const CATEGORY_KEYWORDS = {
  "AI Agent": ["agent", "autonomous", "workflow", "tool call"],
  "代码生成": ["code", "programming", "developer", "copilot"],
  "测试": ["test", "testing", "qa", "quality"],
  "文档": ["documentation", "docs", "readme"],
  "安全": ["security", "vulnerability", "safety", "alignment"],
  "DevOps与部署": ["deployment", "deploy", "devops", "ci/cd", "docker", "kubernetes"],
  "RAG": ["rag", "retrieval", "vector", "embedding"],
  "AI/ML工程": ["training", "fine-tun", "model", "machine learning", "ml"],
  "多模态": ["multimodal", "vision", "image", "video", "audio"],
  "Prompt工程": ["prompt", "prompting", "instruction"],
};

const NON_AI_KEYWORDS = [
  "book", "guide", "tutorial", "awesome", "interview",
  "notes", "handbook", "cheatsheet", "cheat-sheet", "roadmap",
  "everything you need to know", "curated list", "collection",
];

const AI_TOPICS = [
  "ai", "artificial-intelligence", "machine-learning", "deep-learning",
  "llm", "large-language-model", "nlp", "natural-language-processing",
  "agent", "rag", "gpt", "transformer", "generative-ai", "chatgpt",
  "langchain", "prompt-engineering", "multimodal", "text-generation",
  "vector-database", "embedding", "model-training", "fine-tuning",
];

function isValidAIProject(repo) {
  const name = (repo.full_name || "").toLowerCase();
  const desc = (repo.description || "").toLowerCase();
  const text = `${name} ${desc}`;

  for (const kw of NON_AI_KEYWORDS) {
    if (text.includes(kw)) {
      console.log(
        `   🚫 过滤(非AI): ${repo.full_name} (命中关键词: "${kw}")`
      );
      return false;
    }
  }

  const language = (repo.language || "").toLowerCase();
  if (["markdown", "html", "tex", "latex"].includes(language) && repo.stargazers_count < 5000) {
    console.log(
      `   🚫 过滤(文档): ${repo.full_name} (语言: ${repo.language}, ⭐${repo.stargazers_count})`
    );
    return false;
  }

  const topics = (repo.topics || []).map((t) => t.toLowerCase());
  if (topics.length > 0) {
    const hasAITopic = topics.some((t) =>
      AI_TOPICS.some((ai) => t.includes(ai))
    );
    if (!hasAITopic) {
      console.log(
        `   🚫 过滤(无AI主题): ${repo.full_name} (topics: ${topics.join(", ").substring(0, 100)})`
      );
      return false;
    }
  }

  return true;
}

function extractJSON(str) {
  const trimmed = str.trim();
  const codeBlockMatch = trimmed.match(/```(?:json)?\s*([\s\S]*?)```/);
  let jsonStr = codeBlockMatch ? codeBlockMatch[1].trim() : trimmed;
  const braceMatch = jsonStr.match(/\{[\s\S]*\}/);
  if (braceMatch) {
    try { return JSON.parse(braceMatch[0]); } catch {}
  }
  const arrayMatch = jsonStr.match(/\[[\s\S]*\]/);
  if (arrayMatch) {
    try { return JSON.parse(arrayMatch[0]); } catch {}
  }
  return JSON.parse(jsonStr);
}

async function guessCategory(name, desc, tags) {
  const categories = await prisma.skillCategory.findMany({
    select: { id: true, name: true },
    orderBy: { sortOrder: "asc" },
  });
  if (categories.length === 0) {
    throw new Error("数据库中没有技能分类，请先创建分类");
  }
  const text = `${name} ${desc} ${tags.join(" ")}`.toLowerCase();
  for (const [categoryName, keywords] of Object.entries(CATEGORY_KEYWORDS)) {
    for (const kw of keywords) {
      if (text.includes(kw)) {
        const match = categories.find((c) => c.name === categoryName);
        if (match) return match.id;
      }
    }
  }
  return categories[0].id;
}

const REVIEW_PROMPT = `你是一个GitHub开源项目评测专家。请基于以下项目信息进行五维深度评测，并以JSON格式返回。务必只返回JSON，不要包含任何其他文字或Markdown格式。

项目信息：
- 仓库全名：{repoName}
- 简介：{description}
- GitHub Stars：{stars}
- 开源许可证：{license}
- README摘要（前1500字）：{readmeSummary}

请严格按照以下JSON结构输出：
{
  "capability": { "score": 4.5, "summary": "一句话亮点(15字内)", "detail": "80-120字场景能力分析" },
  "devExp": { "score": 3.5, "summary": "上手体验总结", "detail": "80-120字，包含安装、文档、API评价" },
  "costLicense": { "score": 4.0, "summary": "成本与许可总结", "detail": "80-120字，包含硬件成本、API定价、许可证风险" },
  "community": { "score": 4.5, "summary": "社区健康度总结", "detail": "80-120字，包含Issue响应、PR频率、生态描述" },
  "performance": { "score": 3.5, "summary": "性能稳定性总结", "detail": "80-120字，包含运行效率、稳定性、输出质量" },
  "overall": 4.0,
  "tags": ["标签1", "标签2", "标签3"]
}

评分要求：
- 分数为1-5之间，可使用0.5步长
- 综合分应为五个维度分数的算术平均值（保留1位小数）
- 每个维度的summary需严格控制在15字以内
- 每个维度的detail需严格控制在80-120字
- 标签从以下类别中选择最匹配的3-5个：LLM框架, Agent框架, RAG, 提示工程, 多模态, 代码助手, 模型训练, 数据工程, 部署工具, 评测工具, 安全对齐, 其他`;

async function searchHotRepos(query, minStars = 500, maxResults = 10) {
  const q = `${query} stars:>${minStars} pushed:>2024-01-01`;
  const { data } = await octokit.rest.search.repos({
    q,
    sort: "stars",
    order: "desc",
    per_page: maxResults,
  });
  return data.items;
}

async function getRepoReadme(owner, repo) {
  try {
    const { data } = await octokit.rest.repos.getReadme({ owner, repo });
    return Buffer.from(data.content, "base64").toString("utf-8");
  } catch {
    return "";
  }
}

async function generateReview(repoName, description, stars, license, readme) {
  const prompt = REVIEW_PROMPT
    .replace("{repoName}", repoName)
    .replace("{description}", description || "暂无描述")
    .replace("{stars}", stars.toString())
    .replace("{license}", license || "未知")
    .replace("{readmeSummary}", readme.substring(0, 1500));

  const completion = await openai.chat.completions.create({
    model: "deepseek-v4-pro",
    messages: [{ role: "user", content: prompt }],
    temperature: 0.3,
  });

  const content = completion.choices[0]?.message?.content;
  if (!content) {
    throw new Error("DeepSeek API 返回内容为空");
  }

  let review = extractJSON(content);
  if (review.data && typeof review.data === "object") review = review.data;
  if (review.result && typeof review.result === "object") review = review.result;
  if (!review.capability || !review.devExp) {
    throw new Error("评测JSON结构不完整: " + JSON.stringify(Object.keys(review)).substring(0, 200));
  }

  const dims = [
    review.capability.score,
    review.devExp.score,
    review.costLicense.score,
    review.community.score,
    review.performance.score,
  ];
  const avg = dims.reduce((a, b) => a + b, 0) / 5;
  if (Math.abs(review.overall - avg) > 0.3) {
    console.warn(
      `⚠️ 综合分 ${review.overall} 与均分 ${avg.toFixed(1)} 偏差较大，已自动修正为均分`
    );
    review.overall = Math.round(avg * 10) / 10;
  }

  return review;
}

function generateSlug(fullName) {
  return fullName
    .toLowerCase()
    .replace(/[^a-z0-9]+/g, "-")
    .replace(/^-|-$/g, "")
    .substring(0, 100);
}

async function main() {
  console.log("🚀 [Auto Review] 开始自动化评测任务...\n");

  const SEARCH_QUERIES = [
    "ai agent",
    "llm framework",
    "rag",
    "prompt engineering",
  ];
  const MIN_STARS = 500;
  const MAX_PER_QUERY = 5;
  const DAILY_LIMIT = 8;

  let reviewedCount = 0;

  for (const query of SEARCH_QUERIES) {
    if (reviewedCount >= DAILY_LIMIT) break;

    console.log(`🔍 搜索关键词: "${query}" (min ${MIN_STARS} stars)`);

    const repos = await searchHotRepos(query, MIN_STARS, MAX_PER_QUERY);
    console.log(`   找到 ${repos.length} 个仓库\n`);

    for (const repo of repos) {
      if (reviewedCount >= DAILY_LIMIT) break;

      const existing = await prisma.skill.findFirst({
        where: { sourceUrl: repo.html_url },
      });

      if (existing) {
        console.log(
          `   ⏭️ 跳过已存在: ${repo.full_name} (⭐${repo.stargazers_count})`
        );
        continue;
      }

      if (!isValidAIProject(repo)) {
        continue;
      }

      console.log(
        `\n📦 [${reviewedCount + 1}/${DAILY_LIMIT}] 处理: ${repo.full_name} (⭐${repo.stargazers_count})`
      );

      try {
        console.log("   📖 获取 README...");
        const [owner, name] = repo.full_name.split("/");
        const readme = await getRepoReadme(owner, name);
        console.log(`   ✅ README 长度: ${readme.length} 字符`);

        console.log("   🤖 生成五维评测...");
        const reviewData = await generateReview(
          repo.full_name,
          repo.description || "",
          repo.stargazers_count,
          repo.license?.spdx_id || "Unknown",
          readme
        );
        console.log(`   ✅ 综合评分: ${reviewData.overall}`);

        const slug = generateSlug(repo.full_name);

        const slugExists = await prisma.skill.findUnique({ where: { slug } });
        if (slugExists) {
          console.log(`   ⏭️ 跳过slug冲突: ${slug}`);
          continue;
        }

        const categoryId = await guessCategory(repo.full_name, repo.description || "", reviewData?.tags || []);

        const skill = await prisma.skill.create({
          data: {
            name: repo.full_name.substring(0, 100),
            slug,
            categoryId,
            description: repo.description || "",
            sourceUrl: repo.html_url,
            sourceType: "github",
            rating: reviewData.overall,
            features: {
              forks: repo.forks_count,
              language: repo.language,
              license: repo.license?.spdx_id || null,
              topics: repo.topics || [],
            },
            tags: reviewData.tags || [],
            status: "draft",
            lastReviewedAt: new Date(),
            githubStarsHistory: [
              {
                date: new Date().toISOString().split("T")[0],
                stars: repo.stargazers_count,
              },
            ],
          },
        });
        console.log(`   ✅ Skill 已创建 (ID: ${skill.id})`);

        await prisma.skillReview.create({
          data: {
            skillId: skill.id,
            capability: reviewData.capability.score,
            devExp: reviewData.devExp.score,
            costLicense: reviewData.costLicense.score,
            community: reviewData.community.score,
            performance: reviewData.performance.score,
            overall: reviewData.overall,
            reviews: reviewData,
            status: "DRAFT",
          },
        });
        console.log("   ✅ 评测记录已保存");

        await prisma.reviewGenerationLog.create({
          data: {
            skillId: skill.id,
            status: "SUCCESS",
            prompt: repo.full_name,
            response: JSON.stringify(reviewData),
          },
        });

        reviewedCount++;
        console.log("   🎉 完成!\n");
      } catch (error) {
        console.error(`   ❌ 失败: ${error.message}`);

        await prisma.reviewGenerationLog.create({
          data: {
            skillId: 0,
            status: "FAILED",
            prompt: repo.full_name,
            error: error.message?.substring(0, 500) || "Unknown error",
          },
        });
      }
    }
  }

  console.log(
    `\n🏁 [Auto Review] 完成。今日评测: ${reviewedCount} 个项目`
  );
}

main()
  .catch((e) => {
    console.error("💥 脚本异常:", e);
    process.exit(1);
  })
  .finally(async () => {
    await prisma.$disconnect();
  });