374 lines
12 KiB
JavaScript
374 lines
12 KiB
JavaScript
import { PrismaClient } from "@prisma/client";
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import { PrismaMariaDb } from "@prisma/adapter-mariadb";
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import { Octokit } from "octokit";
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import OpenAI from "openai";
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import "dotenv/config";
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const base = process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4";
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const sep = base.includes("?") ? "&" : "?";
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const connectionString = `${base}${sep}connection_limit=20&pool_timeout=30`;
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const adapter = new PrismaMariaDb(connectionString);
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const prisma = new PrismaClient({ adapter });
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const octokit = new Octokit({
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auth: process.env.GITHUB_TOKEN || undefined,
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});
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const openai = new OpenAI({
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apiKey: process.env.DEEPSEEK_API_KEY,
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baseURL: "https://api.deepseek.com/v1",
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});
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const CATEGORY_KEYWORDS = {
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"AI Agent": ["agent", "autonomous", "workflow", "tool call"],
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"代码生成": ["code", "programming", "developer", "copilot"],
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"测试": ["test", "testing", "qa", "quality"],
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"文档": ["documentation", "docs", "readme"],
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"安全": ["security", "vulnerability", "safety", "alignment"],
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"DevOps与部署": ["deployment", "deploy", "devops", "ci/cd", "docker", "kubernetes"],
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"RAG": ["rag", "retrieval", "vector", "embedding"],
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"AI/ML工程": ["training", "fine-tun", "model", "machine learning", "ml"],
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"多模态": ["multimodal", "vision", "image", "video", "audio"],
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"Prompt工程": ["prompt", "prompting", "instruction"],
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};
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const NON_AI_KEYWORDS = [
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"book", "guide", "tutorial", "awesome", "interview",
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"notes", "handbook", "cheatsheet", "cheat-sheet", "roadmap",
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"everything you need to know", "curated list", "collection",
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];
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const AI_TOPICS = [
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"ai", "artificial-intelligence", "machine-learning", "deep-learning",
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"llm", "large-language-model", "nlp", "natural-language-processing",
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"agent", "rag", "gpt", "transformer", "generative-ai", "chatgpt",
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"langchain", "prompt-engineering", "multimodal", "text-generation",
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"vector-database", "embedding", "model-training", "fine-tuning",
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];
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function isValidAIProject(repo) {
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const name = (repo.full_name || "").toLowerCase();
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const desc = (repo.description || "").toLowerCase();
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const text = `${name} ${desc}`;
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for (const kw of NON_AI_KEYWORDS) {
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if (text.includes(kw)) {
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console.log(
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` 🚫 过滤(非AI): ${repo.full_name} (命中关键词: "${kw}")`
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);
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return false;
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}
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}
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const language = (repo.language || "").toLowerCase();
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if (["markdown", "html", "tex", "latex"].includes(language) && repo.stargazers_count < 5000) {
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console.log(
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` 🚫 过滤(文档): ${repo.full_name} (语言: ${repo.language}, ⭐${repo.stargazers_count})`
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);
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return false;
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}
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const topics = (repo.topics || []).map((t) => t.toLowerCase());
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if (topics.length > 0) {
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const hasAITopic = topics.some((t) =>
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AI_TOPICS.some((ai) => t.includes(ai))
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);
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if (!hasAITopic) {
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console.log(
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` 🚫 过滤(无AI主题): ${repo.full_name} (topics: ${topics.join(", ").substring(0, 100)})`
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);
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return false;
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}
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}
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return true;
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}
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function extractJSON(str) {
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const trimmed = str.trim();
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const codeBlockMatch = trimmed.match(/```(?:json)?\s*([\s\S]*?)```/);
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let jsonStr = codeBlockMatch ? codeBlockMatch[1].trim() : trimmed;
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const braceMatch = jsonStr.match(/\{[\s\S]*\}/);
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if (braceMatch) {
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try { return JSON.parse(braceMatch[0]); } catch {}
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}
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const arrayMatch = jsonStr.match(/\[[\s\S]*\]/);
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if (arrayMatch) {
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try { return JSON.parse(arrayMatch[0]); } catch {}
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}
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return JSON.parse(jsonStr);
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}
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async function guessCategory(name, desc, tags) {
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const categories = await prisma.skillCategory.findMany({
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select: { id: true, name: true },
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orderBy: { sortOrder: "asc" },
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});
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if (categories.length === 0) {
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throw new Error("数据库中没有技能分类，请先创建分类");
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}
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const text = `${name} ${desc} ${tags.join(" ")}`.toLowerCase();
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for (const [categoryName, keywords] of Object.entries(CATEGORY_KEYWORDS)) {
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for (const kw of keywords) {
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if (text.includes(kw)) {
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const match = categories.find((c) => c.name === categoryName);
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if (match) return match.id;
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}
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}
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}
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return categories[0].id;
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}
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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。
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项目信息：
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- 仓库全名：{repoName}
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- 简介：{description}
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- GitHub Stars：{stars}
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- 开源许可证：{license}
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- README摘要（前1500字）：{readmeSummary}
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请严格按照以下JSON结构输出：
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{
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"capability": { "score": 4.5, "summary": "一句话亮点(15字内)", "detail": "80-120字场景能力分析" },
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"devExp": { "score": 3.5, "summary": "上手体验总结", "detail": "80-120字，包含安装、文档、API评价" },
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"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" },
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"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" },
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"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" },
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"overall": 4.0,
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"tags": ["标签1", "标签2", "标签3"]
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}
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评分要求：
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- 分数为1-5之间，可使用0.5步长
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- 综合分应为五个维度分数的算术平均值（保留1位小数）
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- 每个维度的summary需严格控制在15字以内
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- 每个维度的detail需严格控制在80-120字
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- 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`;
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async function searchHotRepos(query, minStars = 500, maxResults = 10) {
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const q = `${query} stars:>${minStars} pushed:>2024-01-01`;
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const { data } = await octokit.rest.search.repos({
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q,
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sort: "stars",
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order: "desc",
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per_page: maxResults,
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});
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return data.items;
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}
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async function getRepoReadme(owner, repo) {
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try {
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const { data } = await octokit.rest.repos.getReadme({ owner, repo });
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return Buffer.from(data.content, "base64").toString("utf-8");
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} catch {
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return "";
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}
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}
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async function generateReview(repoName, description, stars, license, readme) {
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const prompt = REVIEW_PROMPT
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.replace("{repoName}", repoName)
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.replace("{description}", description || "暂无描述")
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.replace("{stars}", stars.toString())
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.replace("{license}", license || "未知")
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.replace("{readmeSummary}", readme.substring(0, 1500));
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const completion = await openai.chat.completions.create({
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model: "deepseek-v4-pro",
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messages: [{ role: "user", content: prompt }],
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temperature: 0.3,
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});
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const content = completion.choices[0]?.message?.content;
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if (!content) {
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throw new Error("DeepSeek API 返回内容为空");
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}
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let review = extractJSON(content);
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if (review.data && typeof review.data === "object") review = review.data;
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if (review.result && typeof review.result === "object") review = review.result;
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if (!review.capability || !review.devExp) {
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throw new Error("评测JSON结构不完整: " + JSON.stringify(Object.keys(review)).substring(0, 200));
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}
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const dims = [
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review.capability.score,
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review.devExp.score,
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review.costLicense.score,
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review.community.score,
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review.performance.score,
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];
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const avg = dims.reduce((a, b) => a + b, 0) / 5;
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if (Math.abs(review.overall - avg) > 0.3) {
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console.warn(
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`⚠️ 综合分 ${review.overall} 与均分 ${avg.toFixed(1)} 偏差较大，已自动修正为均分`
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);
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review.overall = Math.round(avg * 10) / 10;
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}
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return review;
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}
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function generateSlug(fullName) {
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return fullName
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.toLowerCase()
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.replace(/[^a-z0-9]+/g, "-")
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.replace(/^-|-$/g, "")
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.substring(0, 100);
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}
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async function main() {
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console.log("🚀 [Auto Review] 开始自动化评测任务...\n");
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const SEARCH_QUERIES = [
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"ai agent",
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"llm framework",
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"rag",
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"prompt engineering",
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];
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const MIN_STARS = 500;
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const MAX_PER_QUERY = 5;
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const DAILY_LIMIT = 8;
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let reviewedCount = 0;
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for (const query of SEARCH_QUERIES) {
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if (reviewedCount >= DAILY_LIMIT) break;
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console.log(`🔍 搜索关键词: "${query}" (min ${MIN_STARS} stars)`);
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const repos = await searchHotRepos(query, MIN_STARS, MAX_PER_QUERY);
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console.log(` 找到 ${repos.length} 个仓库\n`);
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for (const repo of repos) {
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if (reviewedCount >= DAILY_LIMIT) break;
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const existing = await prisma.skill.findFirst({
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where: { sourceUrl: repo.html_url },
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});
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if (existing) {
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console.log(
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` ⏭️ 跳过已存在: ${repo.full_name} (⭐${repo.stargazers_count})`
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);
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continue;
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}
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if (!isValidAIProject(repo)) {
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continue;
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}
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console.log(
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`\n📦 [${reviewedCount + 1}/${DAILY_LIMIT}] 处理: ${repo.full_name} (⭐${repo.stargazers_count})`
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);
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try {
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console.log(" 📖 获取 README...");
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const [owner, name] = repo.full_name.split("/");
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const readme = await getRepoReadme(owner, name);
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console.log(` ✅ README 长度: ${readme.length} 字符`);
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console.log(" 🤖 生成五维评测...");
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const reviewData = await generateReview(
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repo.full_name,
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repo.description || "",
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repo.stargazers_count,
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repo.license?.spdx_id || "Unknown",
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readme
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);
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console.log(` ✅ 综合评分: ${reviewData.overall}`);
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const slug = generateSlug(repo.full_name);
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const slugExists = await prisma.skill.findUnique({ where: { slug } });
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if (slugExists) {
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console.log(` ⏭️ 跳过slug冲突: ${slug}`);
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continue;
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}
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const categoryId = await guessCategory(repo.full_name, repo.description || "", reviewData?.tags || []);
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const skill = await prisma.skill.create({
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data: {
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name: repo.full_name.substring(0, 100),
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slug,
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categoryId,
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description: repo.description || "",
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sourceUrl: repo.html_url,
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sourceType: "github",
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rating: reviewData.overall,
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features: {
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forks: repo.forks_count,
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language: repo.language,
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license: repo.license?.spdx_id || null,
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topics: repo.topics || [],
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},
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tags: reviewData.tags || [],
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status: "draft",
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lastReviewedAt: new Date(),
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githubStarsHistory: [
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{
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date: new Date().toISOString().split("T")[0],
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stars: repo.stargazers_count,
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},
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],
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},
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});
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console.log(` ✅ Skill 已创建 (ID: ${skill.id})`);
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await prisma.skillReview.create({
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data: {
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skillId: skill.id,
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capability: reviewData.capability.score,
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devExp: reviewData.devExp.score,
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costLicense: reviewData.costLicense.score,
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community: reviewData.community.score,
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performance: reviewData.performance.score,
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overall: reviewData.overall,
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reviews: reviewData,
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status: "DRAFT",
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},
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});
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console.log(" ✅ 评测记录已保存");
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await prisma.reviewGenerationLog.create({
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data: {
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skillId: skill.id,
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status: "SUCCESS",
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prompt: repo.full_name,
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response: JSON.stringify(reviewData),
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},
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});
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reviewedCount++;
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console.log(" 🎉 完成!\n");
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} catch (error) {
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console.error(` ❌ 失败: ${error.message}`);
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await prisma.reviewGenerationLog.create({
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data: {
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skillId: 0,
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status: "FAILED",
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prompt: repo.full_name,
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error: error.message?.substring(0, 500) || "Unknown error",
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},
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});
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}
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}
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}
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console.log(
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`\n🏁 [Auto Review] 完成。今日评测: ${reviewedCount} 个项目`
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);
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}
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main()
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.catch((e) => {
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console.error("💥 脚本异常:", e);
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process.exit(1);
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})
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.finally(async () => {
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await prisma.$disconnect();
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});
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